{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "FbDOZ0vH82vB" }, "source": [ "# Import Libraries" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "id": "RJY87ofEbIPB" }, "outputs": [], "source": [ "#Untuk Explore dan Preprocessing Data\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "from seaborn import external\n", "import matplotlib.pyplot as plt\n", "from sklearn.pipeline import Pipeline\n", "from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler\n", "from sklearn.preprocessing import OneHotEncoder, LabelEncoder\n", "from sklearn.compose import ColumnTransformer\n", "from sklearn.model_selection import train_test_split\n", "from imblearn.over_sampling import SMOTE\n", "from imblearn.pipeline import Pipeline as ImbPipeline\n", "\n", "#Untuk Model\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.ensemble import RandomForestClassifier\n", "import xgboost as xgb\n", "from xgboost import XGBClassifier\n", "import joblib\n", "\n", "#Untuk Hyperparameter Tuning\n", "from sklearn.model_selection import GridSearchCV\n", "\n", "#Untuk Evaluasi Model\n", "from sklearn.metrics import classification_report, roc_auc_score, f1_score, confusion_matrix, RocCurveDisplay\n", "\n", "#Untuk Interpretasi Model\n", "from sklearn.tree import export_text\n", "from sklearn.tree import plot_tree\n", "from sklearn.inspection import permutation_importance, PartialDependenceDisplay" ] }, { "cell_type": "markdown", "metadata": { "id": "3tpteA_wzjZV" }, "source": [ "# Module XGBoost Approximator" ] }, { "cell_type": "markdown", "metadata": { "id": "Xs62Re63DN5C" }, "source": [ "## Utils" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "This module contains several functions that are used in various stages of the process\n", "\"\"\"\n", "import numpy as np\n", "from sklearn.metrics import roc_curve, auc\n", "import xgboost as xg\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.model_selection import GridSearchCV\n", "from sklearn.ensemble import RandomForestClassifier\n", "import random\n", "\n", "RANDOM_SEED = 1\n", "\n", "def softmax(x):\n", " \"\"\"\n", " This function is useful for converting the aggregated results come from the different trees into class probabilities\n", " :param x: Numpy k-dimensional array\n", " :return: Softmax of X\n", " \"\"\"\n", " return np.array([np.exp(x)/np.sum(np.exp(x))])\n", "\n", "def get_auc(test_y,y_score):\n", " \"\"\"\n", "\n", " :param test_y: Labels\n", " :param y_score: probabilities of labels\n", " :return: ROC AUC score\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " classes=[i for i in range(y_score.shape[1])]\n", " y_test_binarize=np.array([[1 if i ==c else 0 for c in classes] for i in test_y])\n", " fpr, tpr, _ = roc_curve(y_test_binarize.ravel(), y_score.ravel())\n", " return auc(fpr, tpr)\n", "\n", "def train_decision_tree(train,feature_cols,label_col):\n", " \"\"\"\n", " This function gets a dataframe as an input and optimizes a decision tree to the data\n", "\n", " :param train: Pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :return: Trained sklearn decision tree\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " parameters = {'criterion': ['entropy', 'gini'],\n", " 'max_depth': [3, 5, 10, 20, 50],\n", " 'min_samples_leaf': [1, 2, 5, 10]}\n", " model = DecisionTreeClassifier()\n", " clfGS = GridSearchCV(model, parameters, cv=3)\n", " clfGS.fit(train[feature_cols].values, train[label_col])\n", " return clfGS.best_estimator_\n", "\n", "\n", "\n", "def train_rf_model(train,feature_cols,label_col):\n", " \"\"\"\n", " This function gets a dataframe as an input and optimizes a random forest classifier to the data\n", "\n", " :param train: Pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :return: Trained random forest classifier\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " parameters = {'n_estimators':[50,100],\n", " 'criterion': ['entropy'],\n", " 'min_samples_leaf': [1, 10, 100],\n", " 'max_features':['auto','log2']}\n", " model = RandomForestClassifier()\n", " clfGS = GridSearchCV(model, parameters, cv=3)\n", " clfGS.fit(train[feature_cols].values, train[label_col])\n", " return clfGS.best_estimator_\n", "\n", "def train_xgb_classifier(train,feature_cols,label_col,xgb_params):\n", " \"\"\"\n", " Train an XGBoost to the input dataframe\n", "\n", " :param train: pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :param xgb_params: Dict of XGBoost parameters\n", " :return: label column namened XGboost\n", " \"\"\"\n", " np.random.seed(RANDOM_SEED)\n", " tuning_params = {'colsample_bytree': [0.3,0.5,0.9],\n", " 'learning_rate': [0.01,0.1],\n", " 'max_depth': [2,5,10],\n", " 'alpha': [1,10],\n", " 'n_estimators':[50,100]}\n", " if train[label_col].nunique() > 2:\n", " xgb_params['objective'] = \"multi:softprob\"\n", " else:\n", " xgb_params['objective'] = \"binary:logitraw\"\n", " model = xg.XGBClassifier(xgb_params)\n", " clfGS = GridSearchCV(model, tuning_params, cv=3)\n", " clfGS.fit(train[feature_cols], train[label_col])\n", " return clfGS.best_estimator_\n", "\n", "def decision_tree_instance_depth(inst, dt):\n", " \"\"\"\n", "\n", " :param inst: Instance to be inferenced - numpy vector\n", " :param dt: sklearn decision tree\n", " :return: The depth of the leaf that corresponds the instance\n", " \"\"\"\n", " indx = 0\n", " depth = 0\n", " # epsilon: thresholds may be shifted by a very small floating points. For example: x1 <= 2.6 may become x1 <= 2.5999999\n", " # and then x1 = 2.6 won't be captured\n", " epsilon = 0.0000001\n", " t = dt.tree_\n", " while t.feature[indx] >= 0:\n", " if inst[t.feature[indx]] <= t.threshold[indx] + epsilon:\n", " indx = t.children_left[indx]\n", " else:\n", " indx = t.children_right[indx]\n", " depth += 1\n", " return depth\n", "\n", "def decision_tree_depths(test,feature_cols,dt):\n", " \"\"\"\n", " This function is used for calculatingg the prediction depths of each instance that were inferenced by the input\n", " decision tree\n", "\n", " :param test: Pandas dataframe\n", " :param feature_cols: feature column names\n", " :param dt: decision tree\n", " :return: the depths of leaves that were assigned to each instance\n", " \"\"\"\n", " X = test[feature_cols].values\n", " return [decision_tree_instance_depth(inst,dt) for inst in X]\n", "\n", "#The following are not used:\n", "\n", "def train_xgb_classifier2(train,feature_cols,label_col,xgb_params):\n", " \"\"\"\n", " Train an XGBoost to the input dataframe\n", "\n", " :param train: pandas dataframe\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :param xgb_params: Dict of XGBoost parameters\n", " :return: label column namened XGboost\n", " \"\"\"\n", " if train[label_col].nunique() > 2:\n", " obj = \"multi:softprob\"\n", " else:\n", " obj = \"binary:logitraw\"\n", " xgb_model = xg.XGBClassifier(**xgb_params)\n", " xgb_model.fit(train[feature_cols], train[label_col])\n", " return xgb_model\n", "\n", "def ensemble_prediction_depth(X, rf):\n", " depths = []\n", " for inst in X:\n", " depths.append(np.sum([tree_prediction_depth(inst,base_model.tree_) for base_model in rf.estimators_]))\n", " return depths\n", "\n", "def tree_prediction_depth(inst, t):\n", " indx = 0\n", " depth = 0\n", " epsilon = 0.0000001\n", " # epsilon: thresholds may be shifted by a very small floating points. For example: x1 <= 2.6 may become x1 <= 2.5999999\n", " # and then x1 = 2.6 won't be captured\n", " while t.feature[indx] >= 0:\n", " if inst[t.feature[indx]] <= t.threshold[indx] + epsilon:\n", " indx = t.children_left[indx]\n", " else:\n", " indx = t.children_right[indx]\n", " depth += 1\n", " return depth\n", "\n", "def get_features_statistics(data):\n", " min_values = {col:min(data[col]) for col in data.columns}\n", " max_values = {col: max(data[col]) for col in data.columns}\n", " mean_values = {col: np.mean(data[col]) for col in data.columns}\n", " return min_values, max_values, mean_values" ] }, { "cell_type": "markdown", "metadata": { "id": "-jB_9sjJDmzI" }, "source": [ "## Conjunction" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "This module contains the conjunction class\n", "\n", "\"\"\"\n", "import numpy as np\n", "\n", "class Conjunction():\n", " \"\"\"\n", " A conjunction is a combination of feature bounds mapped into a class probability vector\n", " \"\"\"\n", " def __init__(self,feature_names,label_names,leaf_index=None,label_probas=None):\n", " \"\"\"\n", " :param feature_names: list of strings. Also determine the dimensionality\n", " :param label_names: list of labels. Determines the number of labels too\n", " :param leaf_index: This feature is optional. Can be relevant if we'd like to document the leaves that were used from the input forest\n", " :param label_probas: also optional. Relevant if we'd like to determine the class probabilities within the constructor\n", " \"\"\"\n", " self.feature_names = feature_names\n", " self.number_of_features = len(feature_names)\n", " self.label_names = label_names\n", "\n", " # upper and lower bounds of the feature for each rule\n", " self.features_upper = [np.inf] * len(feature_names)\n", " self.features_lower = [-np.inf] * len(feature_names)\n", "\n", " self.label_probas = np.array(label_probas)\n", " self.leaf_index = leaf_index\n", "\n", " #The following dict is used for excluding irrelevant merges of different dummy variables that come from the same categorical feature\n", " self.categorical_features_dict={}\n", "\n", " def addCondition(self, feature, threshold, bound):\n", " \"\"\"\n", " This method adds a condition to the conjunction if relevant (rule isn't already contained in the conjunction)\n", "\n", " :param feature: relevant feature\n", " :param threshold: upper\\lower bound\n", " :param bound: bound direction\n", "\n", " \"\"\"\n", " #Check if the rule isn't already contained in the conjunction\n", " if bound == 'lower':\n", " if self.features_lower[feature] < threshold:\n", " self.features_lower[feature] = threshold\n", " else:\n", " if self.features_upper[feature] > threshold:\n", " self.features_upper[feature] = threshold\n", "\n", " #Address categorical features:\n", " if '=' in self.feature_names[feature] and threshold >= 1 and bound == 'lower':\n", " splitted = self.feature_names[feature].split('=')\n", " self.categorical_features_dict[splitted[0]] = splitted[1]\n", "\n", " def isContradict(self, other_conjunction):\n", " \"\"\"\n", " :param other_conjunction: conjunction object\n", " :return: True if other and self have at least one contradiction, otherwise False\n", " \"\"\"\n", "\n", " #Check upper and lower bounds contradiction\n", " for i in range(self.number_of_features):\n", " if self.features_upper[i] <= other_conjunction.features_lower[i] or self.features_lower[i] >= other_conjunction.features_upper[i]:\n", " return True\n", "\n", " # check for categorical features contradiction\n", " for feature in self.feature_names:\n", " if feature in self.categorical_features_dict and feature in other_conjunction.categorical_features_dict:\n", " if self.categorical_features_dict[feature] != other_conjunction.categorical_features_dict[feature]:\n", " return True\n", "\n", " def merge(self, other):\n", " \"\"\"\n", " :param other: conjunction\n", " :return: new_conjunction - a merge of the self conjunction with other\n", " \"\"\"\n", " new_conjunction = Conjunction(self.feature_names,self.label_names,\n", " self.leaf_index+other.leaf_index,self.label_probas+other.label_probas)\n", " new_conjunction.features_upper = [min(i,j) for i,j in zip(self.features_upper,other.features_upper)]\n", " new_conjunction.features_lower = [max(i, j) for i, j in zip(self.features_lower, other.features_lower)]\n", " new_conjunction.categorical_features_dict = self.categorical_features_dict\n", " new_conjunction.categorical_features_dict.update(other.categorical_features_dict)\n", " return new_conjunction\n", "\n", " def containsInstance(self,inst):\n", " \"\"\"\n", " Checks whether the input instance falls under the conjunction\n", "\n", " :param inst:\n", " :return: True if\n", " \"\"\"\n", " for i, lower, upper in zip(range(len(inst)), self.features_lower, self.features_upper):\n", " if inst[i] >= upper or inst[i] < lower:\n", " return False\n", " return True\n", "\n", " def has_low_interval(self,lowest_intervals):\n", " for lower,upper,interval in zip(self.features_lower,self.features_upper,lowest_intervals):\n", " if upper-lower= ' + str(np.round(threshold,3)) + \", \"\n", " #save upper bounds\n", " for feature, threshold in enumerate(self.features_upper):\n", " if threshold != np.inf:\n", " s += self.feature_names[feature] + ' < ' + str(np.round(threshold,3)) + \", \"\n", " #save labels\n", " s += 'labels: ['\n", " s+=str(self.label_probas)\n", " s += ']'\n", " return s\n", "\n", " #From here on everything is still tested\n", " def get_data_point(self, min_values, max_values, mean_values):\n", " X = []\n", " for i,feature in enumerate(self.feature_names):\n", " if self.features_lower[i]==-np.inf and self.features_upper[i]==np.inf:\n", " X.append(mean_values[feature])\n", " else:\n", " X.append(np.mean([max(min_values[feature],self.features_lower[i]), min(max_values[feature],self.features_upper[i])]))\n", " return np.array(X)" ] }, { "cell_type": "markdown", "metadata": { "id": "uaBU8CeXC9Wb" }, "source": [ "## Tree" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "This module contain a tree class and several functions that are used for constructing the decision tree (stage 2 of the FBT algorithm)\n", "\"\"\"\n", "\n", "from scipy.stats import entropy\n", "\n", "class Tree():\n", " \"\"\"\n", " A decision tree that is based on hierarchical ordering of conjunction set\n", "\n", " Essentialy, the tree is a node with 2 descendents in case of an internal node and a prediction vector if its a leaf\n", " \"\"\"\n", "\n", " def __init__(self,conjunctions, splitting_values,max_depth):\n", " \"\"\"\n", " :param conjunctions: A list of conjunctions\n", " :param splitting_values: A dictionary in ehich keys are features and values are splitting values ordered by frequency\n", " :param max_depth: Tree maximum depth\n", " \"\"\"\n", "\n", " self.conjunctions = conjunctions\n", " self.splitting_values = splitting_values\n", " self.max_depth = max_depth\n", "\n", " def split(self):\n", " # 1. Spliting is stopped if:\n", " # a. there's a single conjunctions\n", " # b. Entropy doesn't improved\n", " # 2. Splitting values - at each iteration we selrct the most common value for each feature and selects\n", " # The one with the highest information gain\n", " # 3. Information gain is calculated as the mean emtropy across the different feature dimensions\n", " if len(self.conjunctions) == 1 or self.max_depth == 0:\n", " self.selected_feature = None\n", " self.left = None\n", " self.right = None\n", " return\n", " if len(set([np.argmax(conj.label_probas) for conj in self.conjunctions])) > 1:\n", " self.selected_feature, self.selected_value, self.entropy, \\\n", " l_conjunctions, r_conjunctions = select_splitting_feature_by_entropy(self.conjunctions, self.splitting_values)\n", " else:\n", " self.selected_feature, self.selected_value, self.entropy, \\\n", " l_conjunctions, r_conjunctions = select_splitting_feature_by_max_splitting(self.conjunctions,\n", " self.splitting_values)\n", " if self.selected_feature is None:\n", " return\n", " descending_splitting_values = {k:([i for i in v if i!=self.selected_value] if k == self.selected_feature else v) for k,v in self.splitting_values.items()}\n", " self.left = Tree(l_conjunctions,descending_splitting_values,max_depth = self.max_depth-1)\n", " self.right = Tree(r_conjunctions, descending_splitting_values,max_depth = self.max_depth-1)\n", " self.left.split()\n", " self.right.split()\n", "\n", " def print_tree(self, feature_cols, prefix='|'):\n", " print(prefix, end='')\n", " if self.selected_feature is None:\n", " # Calculate the mean of the probabilities\n", " probas = np.array([c.label_probas for c in self.conjunctions])\n", " mean_probas = probas.mean(axis=0)\n", "\n", " # Determine the class with the highest mean probability\n", " class_label = np.argmax(mean_probas)\n", "\n", " print('--- Class:', self.conjunctions[0].label_names[class_label])\n", " return\n", " print('--- ' + str(feature_cols[self.selected_feature]) + ' >= ' + str(self.selected_value))\n", " self.left.print_tree(feature_cols, prefix + ' |')\n", " print(prefix, end='')\n", " print('--- ' + str(feature_cols[self.selected_feature]) + ' < ' + str(self.selected_value))\n", " self.right.print_tree(feature_cols, prefix + ' |')\n", "\n", "\n", " def predict_instance_proba(self,inst):\n", " \"\"\"\n", " Predicte class probabilities for a given instance\n", "\n", " :param inst: Numpy array. Each dimension is a feature\n", " :return: class probabilities\n", "\n", " This is a recursive method that routes the instance to its relevant leaf\n", " \"\"\"\n", " if self.selected_feature == None:\n", " #return softmax(np.array([c.label_probas for c in self.conjunctions]).sum(axis=0))\n", " return np.array([softmax(c.label_probas) for c in self.conjunctions]).mean(axis=0)[0]\n", " if inst[self.selected_feature] >= self.selected_value:\n", " return self.left.predict_instance_proba(inst)\n", " else:\n", " return self.right.predict_instance_proba(inst)\n", "\n", " def get_instance_decision_path(self, inst,result=[]):\n", " \"\"\"\n", "\n", " :param inst: numpy array represents an instance to be inferenced\n", " :param result: a list where each item represents a node\n", " :return:\n", " \"\"\"\n", " result=list(result)\n", " if self.selected_feature == None:\n", " result.append('labels: '+str(np.array([softmax(c.label_probas) for c in self.conjunctions]).mean(axis=0)[0]))\n", " return result\n", " else:\n", " if inst[self.selected_feature] >= self.selected_value:\n", " result.append(str(self.selected_feature)+'>='+str(self.selected_value))\n", " return self.left.get_instance_decision_path(inst,result)\n", " else:\n", " result.append(str(self.selected_feature) + '<' + str(self.selected_value))\n", " return self.right.get_instance_decision_path(inst, result)\n", "\n", " def predict_proba(self,data):\n", " \"\"\"\n", " Predicted class probabilities for each data instance\n", "\n", " :param data: pandas dataframe\n", " :return: numpy array with calss probabilities for each data instance\n", " \"\"\"\n", " probas=[]\n", " for inst in data.values:\n", " probas.append(self.predict_instance_proba(inst))\n", " return np.array(probas)\n", "\n", " def get_decision_paths(self,data):\n", " \"\"\"\n", "\n", " :param data: matrix of [numer_of_instances, number_of_features] dimensions\n", " :return: A list where each item corresponds to the decision path of one insance\n", " \"\"\"\n", " paths = []\n", " for inst in data.values:\n", " paths.append(self.get_instance_decision_path(inst))\n", " return paths\n", "\n", " # The following methods are relevant for the experimental evaluation. Enable calculating the depth of leaves used for predictions\n", " def predict_proba_and_depth(self,data):\n", " probas = []\n", " depths = []\n", " for inst in data.values:\n", " proba, depth = self.predict_instance_proba_and_depth(inst)\n", " probas.append(proba)\n", " depths.append(depth)\n", " return np.array(probas),depths\n", "\n", " def predict_instance_proba_and_depth(self,inst):\n", " if self.selected_feature == None:\n", " #return softmax(np.array([c.label_probas for c in self.conjunctions]).sum(axis=0))\n", " return np.array([softmax(c.label_probas) for c in self.conjunctions]).mean(axis=0)[0], 0\n", " if inst[self.selected_feature] >= self.selected_value:\n", " probas, depth = self.left.predict_instance_proba_and_depth(inst)\n", " return probas, depth + 1\n", " else:\n", " probas, depth = self.right.predict_instance_proba_and_depth(inst)\n", " return probas, depth + 1\n", "\n", "\n", "def select_splitting_feature_by_entropy(conjunctions, splitting_values):\n", " \"\"\"\n", " :param conjunctions: List of conjunctions\n", " :param splitting_values: A dictionary. Keys are features and values are splitting points, ordered by frequency\n", " :return: selected feature, splitting value, weighted entropy stemmed from the split, conjunctions of the left node, conjunctions of the right node\n", "\n", " Splitting algorithm:\n", " 1. Define the best entropy as the current entropy of the class probability vectors\n", " 2. For each feature - get the most frequent spliiting value (first item of the dict) and calculate weighted entropy of split\n", " 3. Based on the best entropy - return the derived variables\n", " \"\"\"\n", " conjunctions_len = len(conjunctions)\n", " best_entropy = get_entropy([c.label_probas for c in conjunctions])\n", " selected_feature,selected_value,l_conjunctions, r_conjunctions = None, None, None, None\n", " for feature,values in splitting_values.items():\n", " if len(values)==0:\n", " continue\n", " for i in range(len(values)):#We iterate over all the values within the feature to find the best splitting point\n", " temp_l_conjunctions, temp_r_conjunctions,temp_entropy = calculate_entropy_for_split(conjunctions,feature, values[i])\n", " # We want to prevent a case where all the conjunctions are going to one of the descendent\n", " if temp_entropy < best_entropy and len(temp_l_conjunctions) < conjunctions_len and len(temp_r_conjunctions) < conjunctions_len:\n", " best_entropy = temp_entropy\n", " selected_feature = feature\n", " selected_value = values[i]\n", " l_conjunctions = temp_l_conjunctions\n", " r_conjunctions = temp_r_conjunctions\n", " return selected_feature,selected_value,best_entropy, l_conjunctions, r_conjunctions\n", "\n", "def select_splitting_feature_by_max_splitting(conjunctions,splitting_values):\n", " \"\"\"\n", "\n", " :param conjunctions: List of conjunctions\n", " :param splitting_values: A dictionary. Keys are features and values are splitting points, ordered by frequency\n", " :return: selected feature, splitting value, weighted entropy stemmed from the split, conjunctions of the left node, conjunctions of the right node\n", "\n", " Splitting algorithm:\n", " 1. Define the best entropy as the current entropy of the class probability vectors\n", " 2. For each feature - get the most frequent spliiting value (first item of the dict) and calculate weighted entropy of split\n", " 3. Based on the best entropy - return the derived variables\n", " \"\"\"\n", " conjunctions_len = len(conjunctions)\n", " #best_entropy = get_entropy([c.label_probas for c in conjunctions])\n", " best_value = len(conjunctions)\n", " selected_feature,selected_value,l_conjunctions, r_conjunctions = None, None, None, None\n", " for feature,values in splitting_values.items():\n", " if len(values)==0:\n", " continue\n", " for i in range(len(values)):#We iterate over all the values within the feature to find the best splitting point\n", " temp_l_conjunctions, temp_r_conjunctions, temp_value = calculate_max_for_split(conjunctions, feature, values[i])\n", " if temp_value < best_value:\n", " best_value = temp_value\n", " selected_feature = feature\n", " selected_value = values[i]\n", " l_conjunctions = temp_l_conjunctions\n", " r_conjunctions = temp_r_conjunctions\n", "\n", " return selected_feature,selected_value,0, l_conjunctions, r_conjunctions\n", "\n", "def calculate_entropy_for_split(conjunctions,feature,value):\n", " \"\"\"\n", " Calculate the entropy of splitting the conjunctions according to the given feature vale\n", "\n", " :param conjunctions: List of conjunctions\n", " :param feature: splitting feature\n", " :param value: splitting value\n", " :return: conjunctions of left and right nodes, weighted entropy\n", " \"\"\"\n", " l_conjunctions = []\n", " r_conjunctions = []\n", " l_probas = []\n", " r_probas = []\n", " for conj in conjunctions:\n", " if conj.features_upper[feature] <= value:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " elif conj.features_lower[feature] >= value:\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " else:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " return l_conjunctions, r_conjunctions, calculate_weighted_entropy(l_probas, r_probas)\n", "\n", "def calculate_weighted_entropy(l_probas,r_probas):\n", " \"\"\"\n", "\n", " :param l_probas: numpy array wehre each item is a probability vector\n", " :param r_probas: numpy array wehre each item is a probability vector\n", " :return: weighted entropy\n", " \"\"\"\n", " l_entropy, r_entropy = get_entropy(l_probas), get_entropy(r_probas)\n", " l_size,r_size = len(l_probas),len(r_probas)\n", " overall_size = l_size+r_size\n", " return(l_size*l_entropy+r_size*r_entropy)/overall_size\n", "\n", "\n", "def get_entropy(probas):\n", " \"\"\"\n", " Calculate antropy of an array of class probability vectors\n", " :param probas: An array of class probability vectors\n", " :return: the average entropy of each class vector\n", " \"\"\"\n", " values = np.array([np.argmax(x) for x in probas])\n", " values, counts = np.unique(values, return_counts=True)\n", " probas = counts / np.sum(counts)\n", " return entropy(probas)\n", "\n", "def calculate_max_for_split(conjunctions,feature,value):\n", " l_conjunctions = []\n", " r_conjunctions = []\n", " l_probas = []\n", " r_probas = []\n", " for conj in conjunctions:\n", " if conj.features_upper[feature] <= value:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " elif conj.features_lower[feature] >= value:\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " else:\n", " r_conjunctions.append(conj)\n", " r_probas.append(conj.label_probas)\n", " l_conjunctions.append(conj)\n", " l_probas.append(conj.label_probas)\n", " return l_conjunctions, r_conjunctions, max(len(l_conjunctions),len(r_conjunctions))" ] }, { "cell_type": "markdown", "metadata": { "id": "WvmAWuVhDWgr" }, "source": [ "## Pruning" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "This module contain the Pruner function for pruning a decision forest\n", "\"\"\"\n", "import pandas as pd\n", "import numpy as np\n", "from sklearn.metrics import cohen_kappa_score\n", "\n", "class Pruner():\n", " \"\"\"\n", " A static class that supports the pruning of a decision forest\n", " \"\"\"\n", " def predict_probas_tree(self,conjunctions,X):\n", " \"\"\"\n", " Predict probabilities for X using a tree, represented as a conjunction set\n", "\n", " :param conjunctions: A list of conjunctions\n", " :param X: numpy array of data instances\n", " :return: class probabilities for each instance of X\n", " \"\"\"\n", "\n", " probas = []\n", " for inst in X:\n", " for conj in conjunctions:\n", " if conj.containsInstance(inst):\n", " probas.append(conj.label_probas)\n", " return np.array(probas)\n", " def predict_probas(self,forest,X):\n", " \"\"\"\n", " Predict probabilities of X, using a decision forest\n", "\n", " :param forest: A list of decision trees where each tree is a list of conjunctions\n", " :param X: Numpy array of data instances\n", " :return: List of class probabilities vector\n", " \"\"\"\n", " predictions = []\n", " if isinstance(X, pd.DataFrame):\n", " X = X.values\n", " for t in forest:\n", " predictions.append(self.predict_probas_tree(t, X))\n", " return np.array([softmax(pred)[0] for pred in np.array(predictions).sum(axis=0)])\n", "\n", " def predict(self,forest,X):\n", " \"\"\"\n", " Predict labels of X, using a decision forest\n", "\n", " :param forest: A list of decision trees where each tree is a list of conjunctions\n", " :param X: Numpy array of data instances\n", " :return: class vector\n", " \"\"\"\n", " return np.argmax(self.predict_probas(forest,X),axis=1)\n", "\n", " def get_forest_auc(self,forest,X,Y):\n", " \"\"\"\n", " Calculates predictions ROC AUC\n", "\n", " :param forest: A list of lists of conjunctions\n", " :param X: Numpy array of data instances\n", " :param Y: Label vector\n", " :return: ROC AUC\n", " \"\"\"\n", " y_probas = self.predict_probas(forest,X)\n", " return get_auc(Y,y_probas)\n", "\n", " def forests_kappa_score(self,probas1,probas2):\n", " \"\"\"\n", " Calculates Cohen's kappa of the predictions divided from two vectors of class probabilities\n", "\n", " :param probas1: list of class probabilities\n", " :param probas2: list of class probabilities\n", " :return: Cohen's kappa\n", " \"\"\"\n", "\n", " predictions1 = np.array([np.argmax(i) for i in probas1])\n", " predictions2 = np.array([np.argmax(i) for i in probas1])\n", " return cohen_kappa_score(predictions1,predictions2)\n", "\n", " def kappa_based_pruning(self,forest,X,Y,min_forest_size=10):\n", " \"\"\"\n", " This method conduct a kappa-based ensemble pruning.\n", "\n", " :param forest: A list of lists of conjunctions (a decision forest)\n", " :param X: Numpy array (data instances)\n", " :param Y: Label vector\n", " :param min_forest_size: minimum size of the pruned ensemble\n", " :return: list of lists of conjunctions - represents the pruned ensemble\n", "\n", " The algorithm contains the following stages:\n", " 1. Add the tree with the highest AUC for X to the new (empty) forest\n", " 2. At each iteration add the tree with the highest cohen's kappa in relation to the new forest\n", " 3. Stop when the new forest AUC doesn't improve and minimum forest size was reached\n", " \"\"\"\n", "\n", " selected_indexes = [np.argmax([self.get_forest_auc([t],X,Y) for t in forest])] #Include only the tree with the best AUC\n", " previous_auc = 0\n", " current_auc = get_auc(Y,self.predict_probas([forest[selected_indexes[0]]],X))\n", " new_forest = [forest[selected_indexes[0]]]\n", " while current_auc > previous_auc or len(new_forest) <= min_forest_size:\n", " kappas = [1 if i in selected_indexes else self.forests_kappa_score(new_forest,[t],X) for i,t in enumerate(forest)]\n", " new_index = np.argmin(kappas)\n", " if new_index in selected_indexes:\n", " break\n", " selected_indexes.append(new_index)\n", " previous_auc = current_auc\n", " new_forest.append(forest[new_index])\n", " current_auc = get_auc(Y,self.predict_probas(new_forest,X))\n", " return new_forest\n", "\n", " def max_auc_pruning(self, forest, X, Y, min_forest_size=10):\n", " \"\"\"\n", " This method conduct an ensemble pruning using a greedy algorithm that maximizes the AUC on the given dataset.\n", "\n", " :param forest: A list of lists of conjunctions (a decision forest)\n", " :param X: Numpy array (data instances)\n", " :param Y: Label vector\n", " :param min_forest_size: minimum size of the pruned ensemble\n", " :return: list of lists of conjunctions - represents the pruned ensemble\n", " \"\"\"\n", " X = X.values\n", " trees_predictions = {i: self.predict_probas_tree(forest[i],X) for i in range(len(forest))} #predictions are stored beforehand for efficiency purposes\n", " selected_indexes = [np.argmax([get_auc(Y,trees_predictions[i]) for i in trees_predictions])] #get the tree with the highest AUC for the given dataset\n", " previous_auc = 0\n", " best_auc = get_auc(Y,trees_predictions[selected_indexes[0]])\n", " while best_auc > previous_auc or len(selected_indexes) <= min_forest_size:\n", " previous_auc = best_auc\n", " best_index = None\n", " for i in range(len(forest)):\n", " if i in selected_indexes:\n", " continue\n", " probas = np.array([trees_predictions[indx] for indx in selected_indexes + [i]]) #get the probas given by each tree, included the tested one\n", " probas = np.array([softmax(prob)[0] for prob in probas.sum(axis=0)]) #aggregate the predictions\n", " temp_auc = get_auc(Y,probas)\n", " if temp_auc > best_auc or best_index==None:\n", " best_auc = temp_auc\n", " best_index = i\n", " selected_indexes.append(best_index)\n", " print('Pruned forest training set AUC: '+str(best_auc))\n", " return [t for i,t in enumerate(forest) if i in selected_indexes]\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "SYyw3TsrDV0U" }, "source": [ "## Tree Extraction" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "This module contains functions for extracting information of individual trees from XGBoost\n", "\"\"\"\n", "\n", "import re\n", "#internal node parser:\n", "feature_regex = re.compile('\\D+(?P\\d+):\\[(?P[^<]+)<(?P[^\\]]+)\\D+(?P\\d+)\\D+(?P\\d+)\\D+(?P\\d+)')\n", "\n", "#leaf parser:\n", "leaf_regex = re.compile('\\D+(?P\\d+)[^\\=]+=(?P.+)')\n", "\n", "def extractNodesFromModel(model):\n", " \"\"\"\n", " Extract decision trees from XGBoost.\n", "\n", " :param model: XGBoost model\n", " :param feature_dict: {feature_name: feature_index}\n", " :return: trees: List of trees where trees represented as lists of dictionaries. Each dictionary represents a node within the corresponding tree\n", " \"\"\"\n", " trees= []\n", " for tree_string in model._Booster.get_dump():\n", " nodes = [feature_regex.search('t' + node).groupdict() if '[' in node else leaf_regex.search('t' +node).groupdict() for node in tree_string.split('\\n')[:-1]]\n", " trees.append(nodes)\n", " return trees\n", "\n", "def extractClassValue(tree,leaf_index,label_names,class_index):\n", " \"\"\"\n", " This function takes a leaf index and convert the class logit into a probability\n", "\n", " :param tree: dictionary that represents a decision tree\n", " :param leaf_index: leaf index - integer\n", " :param label_names: list of strings - labels\n", " :param class_index: index of the addressed class\n", " :return: class probabilitis\n", " \"\"\"\n", " pred = float(tree[leaf_index]['prediction'])\n", " if len(label_names)>2:\n", " return [pred if i == class_index else 0 for i in range(len(label_names))]\n", " else:\n", " p = 1 / (1 + np.exp(pred))\n", " return [p,1-p]\n", "def extractConjunctionsFromTree(tree, tree_index,leaf_index, feature_dict, label_names, class_index):\n", " \"\"\"\n", " Covert the leaves of a tree into a set of conjunctions\n", "\n", " :param tree: list of dictionaries where each dictionary represents a node within a tree\n", " :param leaf_index: index of the currently processed node\n", " :param feature_dict: {feature name: feature index} - for converting xgboost feature names to conjunction feature indices\n", " :param label_names: possible class values\n", " :param class_index: currently addressed class - since each model is basically a binary classification of tree of a single class it's impoertant to know the relevant class\n", " :return: A set of conjunctions\n", " \"\"\"\n", " if 'prediction' in tree[leaf_index]:\n", " probas = extractClassValue(tree,leaf_index,label_names,class_index)\n", " return [Conjunction(list(feature_dict.keys()),label_names,\n", " leaf_index=[str(tree_index)+'_'+str(leaf_index)],label_probas=probas)]\n", " l_conjunctions = extractConjunctionsFromTree(tree,tree_index,int(tree[leaf_index]['left']),feature_dict,label_names,class_index)\n", " r_conjunctions = extractConjunctionsFromTree(tree,tree_index,int(tree[leaf_index]['right']),feature_dict,label_names,class_index)\n", " for c in l_conjunctions:\n", " c.addCondition(feature_dict[tree[leaf_index]['feature']],float(tree[leaf_index]['value']),'upper')\n", " for c in r_conjunctions:\n", " c.addCondition(feature_dict[tree[leaf_index]['feature']],float(tree[leaf_index]['value']),'lower')\n", " return l_conjunctions + r_conjunctions\n", "\n", "def merge_two_conjunction_sets(conj_list1,conj_list2):\n", " \"\"\"\n", " Gets two conjunction sets and return a set that is a cartesian product of the two input sets\n", "\n", " :param conj_list1:\n", " :param conj_list2:\n", " :return:\n", " \"\"\"\n", " new_conjunction_list=[]\n", " for c1 in conj_list1:\n", " for c2 in conj_list2:\n", " if not c1.isContradict(c2):\n", " new_conjunction_list.append(c1.merge(c2))\n", " return new_conjunction_list\n", "\n", "def postProcessTrees(conjunction_sets, num_of_labels):\n", " \"\"\"\n", " This function is used for integrating mulitple binary trees into a single tree of multiple labels\n", "\n", " :param conjunction_sets: list of lists of conjunctions\n", " :param num_of_labels: number of labels in the dataset that was used for training\n", " :return: new list of conjunctions\n", " \"\"\"\n", "\n", " new_conj_list = []\n", " for i in range(0, len(conjunction_sets), num_of_labels):\n", " conj = conjunction_sets[i]\n", " for j in range(i + 1, i + num_of_labels):\n", " conj = merge_two_conjunction_sets(conj, conjunction_sets[j])\n", " new_conj_list.append(conj)\n", " return new_conj_list\n", "\n", "def extractConjunctionSetsFromForest(model,unique_labels,features):\n", " \"\"\"\n", " This function takes XGBoost model and returns a list of trees where each tree is represented as a list of conjunctions.\n", " Each of the tree conjunctions stands for a single decision path\n", "\n", " :param model: XGBoost model\n", " :param unique_labels: label names\n", " :param features: feature names\n", " :return: a list of conjunctions\n", " \"\"\"\n", "\n", " trees = extractNodesFromModel(model)\n", " num_of_labels = len(unique_labels)\n", " feature_dict = {v:k for k,v in enumerate(features)}\n", " conjunction_sets = {}\n", " for i,t in enumerate(trees): #i stands for the corresponding class index\n", " indexed_tree = {int(v['node_index']): v for v in t}\n", " conjunction_sets[i] = extractConjunctionsFromTree(indexed_tree,i,0, feature_dict, unique_labels, i % num_of_labels)\n", " if num_of_labels > 2:\n", " return postProcessTrees(conjunction_sets,num_of_labels)\n", " else:\n", " return list(conjunction_sets.values())\n" ] }, { "cell_type": "markdown", "metadata": { "id": "OUboZmDICpP9" }, "source": [ "## Conjunction Set" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "This module contains the ConjunctionSet class\n", "\"\"\"\n", "\n", "from statsmodels.distributions.empirical_distribution import ECDF\n", "from collections import Counter\n", "\n", "from pyod.models.knn import KNN\n", "from pyod.models.lof import LOF\n", "\n", "class ConjunctionSet():\n", " \"\"\"\n", " ConjunctionSet is a class that represents a set of conjunctions.\n", "\n", " This is the output of stage 1.\n", " Each conjunction at the given set represents a possible combination of leaves from the source decision forests.\n", " \"\"\"\n", "\n", " def __init__(self, max_number_of_conjunctions=np.inf, filter_method='probability'):\n", " \"\"\"\n", " :param max_number_of_conjunctions: Number of maximum allowed conjunctions at each iteration\n", " :param filter_method: The approach that will be takes for filtering conjunctions\n", " \"\"\"\n", " self.filter_method = filter_method\n", " self.max_number_of_conjunctions = max_number_of_conjunctions\n", "\n", " def fit(self,trees_conjunctions,data,feature_cols,label_col, int_features = []):\n", " \"\"\"\n", "\n", " :param trees_conjunctions: Decision forest given as a list of lists of conjunction objects.\n", " :param data: pandas dataframe that was used for training the decision forest\n", " :param feature_cols: Feature names in the dataframe\n", " :param label_col: label column name\n", " :param int_features: list of integer feartures\n", " :return: set a list of conjunction set that best represents the decision forest\n", " \"\"\"\n", " self.feature_cols = feature_cols\n", " self.labels = data[label_col].unique()\n", " self.trees_conjunctions = trees_conjunctions\n", " self.int_features = int_features\n", "\n", " #Create an ECDF for each feature\n", " self.set_probability_ecdf(data)\n", "\n", "\n", " #Extract all the leaf combinations that were applied for training data:\n", " print('Create conjunction set from training data instances')\n", " self.create_conjunction_set_from_data(data)\n", "\n", "\n", " #set maximum number of conjunctions per label\n", " print('Create complete conjunction set')\n", " self.calculate_max_conjunctions_per_label(data,label_col)\n", "\n", " # Run the algorithm of creating the complete conjunction set:\n", " self.createConjunctionSetFromTreeConjunctions()\n", "\n", " #Merge the two conjunctions:\n", " self.conjunctions = self.conjunctions + self.training_conjunctions\n", "\n", " #Get the ordered splitting points for creating the hierarchy at stage 2\n", " self.set_ordered_splitting_points()\n", "\n", " def createConjunctionSetFromTreeConjunctions(self):\n", " \"\"\"\n", " This method generates the conjunction set (stage 1) from the decision forest\n", " \"\"\"\n", " self.conjunctions = self.trees_conjunctions[0] #Define the first tree as the current conjunction set\n", " i = 1\n", " self.size_per_iteration = [len(self.conjunctions)]\n", " while i < len(self.trees_conjunctions): #At each iteration we merge the next tree with the current conjunction set\n", " self.conjunctions= merge_two_conjunction_sets(self.conjunctions, self.trees_conjunctions[i])\n", " i+=1\n", " self.filter() #Filter redundant conjunction according to the filtering strategy\n", " self.size_per_iteration.append(len(self.conjunctions))\n", " print('Size at iteration '+str(i)+': '+str(len(self.conjunctions)))\n", " def filter(self):\n", " \"\"\"\n", " This method filters the current conjunction set according to the filtering strategy.\n", "\n", " At the first stage it filters conjunctions that contain irrelevant integer rules.\n", " For example: If x is an integer then a conjunction that contains 5.5 >= x < 6 is filtered out\n", " \"\"\"\n", " self.conjunctions = [conj for conj in self.conjunctions if self.int_filter(conj)]\n", " if len(self.conjunctions)<=self.max_number_of_conjunctions:\n", " return\n", " if self.filter_method == 'probability':\n", " self.filter_by_probability()\n", " if self.filter_method == 'probability_label':\n", " self.filter_by_probability_labels()\n", " elif self.filter_method == 'knn':\n", " self.filter_by_knn()\n", " elif self.filter_method == 'LOF':\n", " self.filter_by_lof()\n", "\n", " def filter_by_probability(self,EPSILON=0.00001):\n", " \"\"\"\n", " This method filters conjunctions according to the product of each rule ECDF\n", "\n", " :param EPSILON: Prevent a case of probability = 0\n", "\n", " \"\"\"\n", " independent_probs = []\n", " for conj in self.conjunctions:\n", " independent_probs.append(np.sum(np.log([self.ecdf[col](conj.features_upper[col])-self.ecdf[col](conj.features_lower[col])+EPSILON for\n", " col in range(len(self.feature_cols))])))\n", " max_value = sorted(independent_probs, reverse=True)[self.max_number_of_conjunctions]\n", " self.conjunctions = [c for c,val in zip(self.conjunctions,independent_probs) if val >= max_value] #It actually includes a little more than max_number_of conjunctions due to the >=\n", "\n", " def predict(self,X):\n", " return [np.argmax(i) for i in self.predict_proba(X)]\n", "\n", " def predict_proba(self,X):\n", " predictions = []\n", " if isinstance(X,pd.DataFrame):\n", " X = X[self.feature_cols].values\n", " for inst in X:\n", " for conjunction in self.conjunctions:\n", " if conjunction.containsInstance(inst):\n", " predictions.append(np.exp(conjunction.label_probas) / np.sum(np.exp(conjunction.label_probas), axis=0)) #softmax\n", " break\n", " return np.array(predictions)\n", "\n", " #Filtering functions\n", "\n", " def set_probability_ecdf(self,data):\n", " self.ecdf = {i:ECDF(data[col].values) for i,col in enumerate(self.feature_cols)}\n", "\n", " def set_minimum_intervals(self,data):\n", " intervals = {col: data[col].diff().sort_values().dropna().values for col in self.feature_cols}\n", " self.minimum_intervals = [x[x > 0].min()*self.min_interval_ratio for col, x in intervals.items()]\n", "\n", " def int_filter(self,conj,EPSILLON=0.00001):\n", " for i,feature in enumerate(self.feature_cols):\n", " if feature in self.int_features:\n", " if conj.features_upper[i]-conj.features_lower[i]-EPSILLON <= 0.5 and (conj.features_lower[i] % 1) > 0:\n", " return False\n", " return True\n", "\n", " def create_conjunction_set_from_data(self,X):\n", " \"\"\"\n", "\n", " :param X: Pandas dataframe (or matrix)\n", " :return: training_conjunctions - all the conjunctions that were applied for X\n", " \"\"\"\n", " participated_leaves = []\n", " self.training_conjunctions = []\n", " if isinstance(X, pd.DataFrame):\n", " X = X[self.feature_cols].values\n", " for inst in X:\n", " s=''\n", " conj = Conjunction(self.feature_cols,self.labels,leaf_index=[],label_probas=np.zeros(len(self.labels))) #Define the conjunction\n", " for tree_index,tree in enumerate(self.trees_conjunctions):\n", " for leaf_index,leaf in enumerate(tree):\n", " if leaf.containsInstance(inst):\n", " conj = conj.merge(leaf)\n", " s+=str(tree_index)+'|'+str(leaf_index)+'_'\n", " if s not in participated_leaves:\n", " self.training_conjunctions.append(conj)\n", " participated_leaves.append(s)\n", " print('Number of conjunctions created from data: '+str(len(self.training_conjunctions)))\n", "\n", " def set_ordered_splitting_points(self):\n", " \"\"\"\n", " This method creates the splitting points for stage 2 (order the conjunctions in a hierarchical order)\n", " \"\"\"\n", " self.splitting_points = {i:[] for i in range(len(self.feature_cols))}\n", " for tree in self.trees_conjunctions:\n", " for leaf in tree:\n", " for i,lower,upper in zip(range(len(self.feature_cols)),leaf.features_lower,leaf.features_upper):\n", " self.splitting_points[i].extend([upper,lower])\n", " for i in self.splitting_points:\n", " self.splitting_points[i] = [v[0] for v in Counter(self.splitting_points[i]).most_common() if np.abs(v[0]) < np.inf]\n", "\n", " def filter_by_knn(self):\n", " \"\"\"\n", " Filter by KNN ANomaly detection method. Doesn't seem to be better than probability filtering for now\n", " :return:\n", " \"\"\"\n", " data_points = np.array([conj.get_data_point(self.min_values, self.max_values, self.mean_values)for conj in self.conjunctions]).reshape(len(self.conjunctions),len(self.feature_cols))\n", " anomaly_probas = [i[1] for i in self.knn_clf.predict_proba(data_points)]\n", " max_value = sorted(anomaly_probas)[self.max_number_of_conjunctions]\n", " self.conjunctions = [c for c, val in zip(self.conjunctions, anomaly_probas) if val <= max_value]\n", " def filter_by_lof(self):\n", " \"\"\"\n", " Filter by LOF ANomaly detection method. Doesn't seem to be better than probability filtering for now\n", " :return:\n", " \"\"\"\n", " data_points = np.array([conj.get_data_point(self.min_values, self.max_values, self.mean_values)for conj in self.conjunctions]).reshape(len(self.conjunctions),len(self.feature_cols))\n", " anomaly_probas = [i[1] for i in self.lof_clf.predict_proba(data_points)]\n", " max_value = sorted(anomaly_probas)[self.max_number_of_conjunctions]\n", " self.conjunctions = [c for c, val in zip(self.conjunctions, anomaly_probas) if val <= max_value]\n", "\n", " def calculate_max_conjunctions_per_label(self,data,label_col):\n", " self.max_conjunctions_per_label = dict((data[label_col].value_counts(normalize=True)*self.max_number_of_conjunctions).astype(int))\n", "\n", " def filter_by_probability_labels(self,EPSILON=0.00001):\n", " \"\"\"\n", "\n", " :param EPSILON: Added to the denominator to prevent devision by zero\n", " :return:\n", " \"\"\"\n", " conjunctions_dict = {}\n", " probs_dict = {}\n", "\n", " for indx,conj in enumerate(self.conjunctions):\n", " conjunctions_dict[indx] = conj\n", " probs_dict[indx] = np.sum(np.log(\n", " [self.ecdf[col](conj.features_upper[col]) - self.ecdf[col](conj.features_lower[col]) + EPSILON for\n", " col in range(len(self.feature_cols))]))\n", " probs_dict = dict(sorted(probs_dict.items(), key=lambda kv: kv[1], reverse=True))\n", " conjs_per_label = {label:0 for label in self.labels}\n", " conjunctions = []\n", " for indx in probs_dict:\n", " conj = conjunctions_dict[indx]\n", " label = np.argmax(conj.label_probas)\n", " if conjs_per_label[label] < self.max_conjunctions_per_label[label]:\n", " conjunctions.append(conj)\n", " conjs_per_label[label]+=1\n", " if len(conjunctions) == self.max_number_of_conjunctions:\n", " break\n", " self.conjunctions = conjunctions" ] }, { "cell_type": "markdown", "metadata": { "id": "UGeo7A_GCfb_" }, "source": [ "## FBT" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "This module contains a forest based tree class (FBT).\n", "\n", "The class takes an XGBoost as an input and generates a decision aims at preserving the predictive performance of\n", "the XGboost model\n", "\"\"\"\n", "\n", "class FBT():\n", " \"\"\"\n", " This class creates a decision tree from an XGboost\n", " \"\"\"\n", " def __init__(self,max_depth,min_forest_size,max_number_of_conjunctions,pruning_method=None):\n", " \"\"\"\n", "\n", " :param max_depth: Maximum allowed depths of the generated tree\n", " :param min_forest_size: Minimum size of the pruned forest (relevant for the pruning stage)\n", " :param max_number_of_conjunctions:\n", " :param pruning_method: Pruning method. If None then there's no pruning. 'auc' is for greedy auc-bsed pruning\n", " :param xgb_model: Trained XGboost model\n", " \"\"\"\n", " self.min_forest_size = min_forest_size\n", " self.max_number_of_conjunctions = max_number_of_conjunctions\n", " self.pruning_method = pruning_method\n", " self.max_depth = max_depth\n", "\n", " def fit(self,train,feature_cols,label_col, xgb_model, pruned_forest=None, trees_conjunctions_total=None):\n", " \"\"\"\n", " Generates the decision tree by applying the following stages:\n", " 1. Generating a conjunction set that represents each tree of the decision forest\n", " 2. Prune the decision forest according to the given pruning approach\n", " 3. Generate the conjunction set (stage 1 in the algorithm presented)\n", " 4. Create a decision tree out of the generated conjunction set\n", "\n", " :param train: pandas dataframe that was used for training the XGBoost\n", " :param feature_cols: feature column names\n", " :param label_col: label column name\n", " :param xgb_model: XGBoost\n", " :param pruned_forest: A list of trees, represnt a post-pruning forest. Relevant mostly for the experiment presented in the paper\n", " :param tree_conjunctions: This para\n", " \"\"\"\n", " self.feature_cols = feature_cols\n", " self.label_col = label_col\n", " self.int_cols = [k for k,v in train[feature_cols].dtypes.items() if 'int' in str(v)]\n", " self.xgb_model = xgb_model\n", " if pruned_forest is None or trees_conjunctions_total is None:\n", " self.trees_conjunctions_total = extractConjunctionSetsFromForest(self.xgb_model,train[self.label_col].unique(),self.feature_cols)\n", " print('Start pruning')\n", " self.prune(train)\n", " else:\n", " self.pruner = Pruner()\n", " self.trees_conjunctions_total = trees_conjunctions_total\n", " self.trees_conjunctions = pruned_forest\n", " self.cs = ConjunctionSet(max_number_of_conjunctions=self.max_number_of_conjunctions)\n", " self.cs.fit(self.trees_conjunctions,train, feature_cols,label_col,int_features=self.int_cols)\n", " print('Start ordering conjunction set in a tree structure')\n", " self.tree = Tree(self.cs.conjunctions, self.cs.splitting_points,self.max_depth)\n", " self.tree.split()\n", " print('Construction of tree has been completed')\n", "\n", " def prune(self,train):\n", " \"\"\"\n", "\n", " :param train: pandas dataframe used as a pruning dataset\n", " :return: creates a pruned decision forest (include only the relevant trees)\n", " \"\"\"\n", " if self.pruning_method == None:\n", " self.trees_conjunctions = self.trees_conjunctions_total\n", " self.pruner = Pruner()\n", " if self.pruning_method == 'auc':\n", " self.trees_conjunctions = self.pruner.max_auc_pruning(self.trees_conjunctions_total, train[self.feature_cols],\n", " train[self.label_col], min_forest_size=self.min_forest_size)\n", "\n", " def predict_proba(self,X):\n", " \"\"\"\n", " Returns class probabilities\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: class probabilities for the corresponding data\n", " \"\"\"\n", " return self.tree.predict_proba(X)\n", "\n", " def predict(self, X):\n", " \"\"\"\n", " Get predictions vector\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Predicted classes\n", " \"\"\"\n", " return np.argmax(self.predict_proba(X), axis=1)\n", "\n", " def get_decision_paths(self, X):\n", " \"\"\"\n", "\n", " :param X: Pandas data frame of [number_of_instances, number_of_features] dimension\n", " :return: A list of decision paths where each decision path represented as a string of nodes. one node for the leaf and the other for the decision nodes\n", " \"\"\"\n", " paths = self.tree.get_decision_paths(X)\n", " processed_paths = []\n", " for path in paths:\n", " temp_path = []\n", " for node in path:\n", " if node.startswith('label'):\n", " temp_path.append(node)\n", " else:\n", " if '<' in node:\n", " splitted = node.split('<')\n", " temp_path.append(self.feature_cols[int(splitted[0])]+' < '+splitted[1])\n", " else:\n", " splitted = node.split('>=')\n", " temp_path.append(self.feature_cols[int(splitted[0])] + ' >= ' + splitted[1])\n", " processed_paths.append(temp_path)\n", " return processed_paths\n", "\n", " #######################################################################\n", " #The following functions are only relevant for the experiment\n", " # They should be excluded from the documentation of the package\n", " ########################################################################\n", "\n", " def predict_proba_and_depth(self,X):\n", " \"\"\"\n", " Get class probabilities and depths for each instance\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: class probabilities and the depth of each prediction\n", " \"\"\"\n", " return self.tree.predict_proba_and_depth(X)\n", "\n", " def predict_proba_pruned_forest(self,X):\n", " \"\"\"\n", " Predict_proba using the pruned forest\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Class probabilities according to the pruned forest\n", " \"\"\"\n", " return self.pruner.predict_probas(self.trees_conjunctions,X)\n", "\n", " def predict_proba_and_depth_forest(self,X):\n", " \"\"\"\n", " Predict_proba and depth using the original forest\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Class probabilities according to the forest and corresponding depths\n", " \"\"\"\n", " probas = []\n", " depths = []\n", " for inst in X.values:\n", " proba=[]\n", " depth = 0\n", " for t in self.trees_conjunctions_total:\n", " for conj in t:\n", " if conj.containsInstance(inst):\n", " depth+= np.sum(np.abs(conj.features_upper)!=np.inf) + np.sum(np.abs(conj.features_lower)!=np.inf)\n", " proba.append(conj.label_probas)\n", " depths.append(depth)\n", " probas.append(softmax(np.array(proba).sum(axis=0)))\n", " return np.array([i[0] for i in probas]), depths\n", "\n", " def predict_proba_and_depth_pruned_forest(self,X):\n", " \"\"\"\n", " Predict_proba and depth using the pruned forest\n", "\n", " :param X: Pandas dataframe or a numpy matrix\n", " :return: Class probabilities according to the pruned forest and corresponding depths\n", " \"\"\"\n", " probas = []\n", " depths = []\n", " for inst in X.values:\n", " proba=[]\n", " depth = 0\n", " for t in self.trees_conjunctions:\n", " for conj in t:\n", " if conj.containsInstance(inst):\n", " depth+= np.sum(np.abs(conj.features_upper)!=np.inf) + np.sum(np.abs(conj.features_lower)!=np.inf)\n", " proba.append(conj.label_probas)\n", " depths.append(depth)\n", " probas.append(softmax(np.array(proba).sum(axis=0)))\n", " return np.array([i[0] for i in probas]), depths" ] }, { "cell_type": "markdown", "metadata": { "id": "jnUqh3yCKavr" }, "source": [ "# Data Exploration" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "id": "NFlC6i15bMfB" }, "outputs": [], "source": [ "url = 'https://raw.githubusercontent.com/adliiiii/Performance-Analysis-of-Approximating-XGBoost-Model-for-Fraud-Insurance-Detection/main/7000.csv'\n", "df = pd.read_csv(url)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "FE0GszSNbeXv", "outputId": "2de51421-0bc3-44df-ea3a-499fcaa85138" }, "outputs": [ { "data": { "text/html": [ "
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mean549.73885725464.0714294521.4351433.4480002.4790000.197000
std259.63404114336.3113772576.0642411.7073781.1197040.397761
min100.000000503.000000100.0000001.0000001.0000000.000000
25%323.00000012864.2500002298.7500002.0000001.0000000.000000
50%549.00000025469.0000004485.0000003.0000002.0000000.000000
75%777.00000037870.7500006752.2500005.0000003.0000000.000000
max999.00000049998.0000009000.0000006.0000004.0000001.000000
\n", "
" ], "text/plain": [ " patient_suffix Fee Charged membership_period number_of_claims \\\n", "count 7000.000000 7000.000000 7000.000000 7000.000000 \n", "mean 549.738857 25464.071429 4521.435143 3.448000 \n", "std 259.634041 14336.311377 2576.064241 1.707378 \n", "min 100.000000 503.000000 100.000000 1.000000 \n", "25% 323.000000 12864.250000 2298.750000 2.000000 \n", "50% 549.000000 25469.000000 4485.000000 3.000000 \n", "75% 777.000000 37870.750000 6752.250000 5.000000 \n", "max 999.000000 49998.000000 9000.000000 6.000000 \n", "\n", " number_of_dependants label \n", "count 7000.000000 7000.000000 \n", "mean 2.479000 0.197000 \n", "std 1.119704 0.397761 \n", "min 1.000000 0.000000 \n", "25% 1.000000 0.000000 \n", "50% 2.000000 0.000000 \n", "75% 3.000000 0.000000 \n", "max 4.000000 1.000000 " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Statistika Deskriptif\n", "df.describe()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "id": "wDYVK5JhblXk" }, "outputs": [], "source": [ "sns.set(style='whitegrid')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "id": "cYxqmnuRbrsW" }, "outputs": [], "source": [ "cat_features = ['member_name','email','gender','location','employer','relationship','patient_name','patient_dob','cause']\n", "\n", "num_features = ['patient_suffix','Fee Charged','membership_period','number_of_claims','number_of_dependants','label']" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7_E5IXMbbyRm", "outputId": "c16f5f47-9ecd-45c7-9941-4894b951ded8" }, "outputs": [ { "data": { "text/plain": [ "(9, 6)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(cat_features), len(num_features)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 764 }, "id": "PEI5RZlwb1PR", "outputId": "cb4b95d7-5c51-498b-d50b-743ade45baf5" }, "outputs": [ { "data": { "image/png": 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lX7b+u47EkpDmf0FZQYM1x48fx9HRUby4nZ2dDUCvXr346KOPyr3gn5eXR2hoaLnPw8LC6Nq1q3CP9vHxsRHIGQwGiouLcXd3p2rVqjZCXWsyMzMZMGAArVu3BkodkqV2kcQkFTm9Q6kr4T998f2fYE/UJDn3/rdQq9W0bduWiIgIFAqFENxZJ034T5BemLdu06SkJMxmM2lpaXYFQyqVykZgbK++ZYUQZbEeH0VFReJve27IZcvn4uLC6dOnyc7Opk+fPnh7exMUFMTu3bvx8vKy+V5JSQm1a9cWIoybN2+yd+9eu+X+JwI0lUpFYWEhSUlJ/Pjjj1gsFhwdHcU4fffdd0XdatSowcyZM4Vow1qskJCQgFKppG3bttSvX7/C+0mCJOuy7927t8JxLwkwdDod+fn51KhRA39/f+Li4iqsd1JSEunp6S+MY02bNuWtt97620khrPsyKyvrpd2pzWazzZyTxE3Jyck255lMpv+Zw6/BYMDJyemFImqpTc1mMxqNhtDQUJvjZcXSderUqTBWnzp1ismTJ1O/fn0b4d1/i4riaUlJyQvXpUWLFvHo0aOXvldRUdHfio8v24/SNdPS0rhy5QoxMTFoNBqys7NxcHAoJwK2WCxoNBrc3NxQKpUYjcZ/FLfPnDnz0iJBk8lUTtxb9p7W8bZs2xcUFHDjxg3y8/NtPpfmhPU8bt26NQEBAZhMJrKyssqVRVp/K4p5kpCzLNJcLywsxMXFhblz5wrB4vXr17l16xZNmzZlyJAhtGzZkvv374u2f/vtt/H09GT//v307t2bMWPGMHHiRD788EMSEhIqjGFSwiBrPDw8KkxyYW9vUVJSwsqVK8Xewno/4erqypUrV9i0aZPd670skoO5vdgQFhYmRLCbNm0iJiaGLl262Jzr6OjIjh077ApAJSfZdu3aPbcMJpPpucLM5ORkmjdvjqOjI5UrV7Zpc5VK9cI18OzZs1y6dAmTycS5c+fKrbf/awoKCsR4qmi+VrT3sN6b2YtrJpOJffv2PbcN/q778/9JnheHCgoKXvoZQ6VSiXPDw8PtnpOZmcmJEydemGgmICBAXCsnJwc3Nze76314eDgWi4UJEyZw+/ZtRo8eTbVq1exeMygoiF69etG+fftyxxQKhUiO8eTJExwdHcnJyQH+GhfJycns27cPs9nM999/z/Tp08nMzCQkJISEhARq165dLnFXYWGhcLCGisXPZcfki9rcWtRduXJlu+fHx8cLga+1YNXd3Z2QkBCbc52dncsJcV80Zs1mM6GhoUydOlXs+S5evEh2drZNeQIDA4VjfXBwMJcuXeLu3bv/n54TEv+NxGVOTk421zOZTAwdOhQvLy8RM6RxYTabCQsLIzQ0FI1GQ15eHt7e3tSsWfOF+4z8/HzUajUffPBBuf1Ceno6eXl5ODs7M2PGDGbNmiXGRHp6OiUlJRQWFnL79m2uXLlicy/p3xaLhVu3btG6dWubcXzt2jW7+y1pDFgsFuLi4sQ5RUVFVKlSxWbPolKpxN8lJSV8+eWXWCwWXn31VY4cOVJu/VKpVC+1z3weFSXq0ev1PHjwgJSUFJt6mkwmm1hpsVi4d+/ef5R4pVKlSnY/L5vgYvHixTb7N6VSSaNGjcTvMDqdjlatWjF48GDu3buHxWLBw8ODqVOnVpjIRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkbmP0cWq8vIyMjIyMjIyMjIyMjIyMjIyMj8I8LDw3FycuLRo0dYLBaOHj3KunXraNOmDZ07d8bR0dHmJeq0tDR69OjBnj17xGdBQUHlXqi+fPmyjcOxRFl3vLKCX3v8NwXOEj4+Pi90lPvjjz8oKiqiWrVq9OvXD51OR1BQEJUqVRKiEut6P3z4sNyL//fv3+fhw4e4ubmRk5PDvHnz7DqS6nQ6Pv74Y8LDw1GpVHbFaT/88AO3bt1CoVCQmZlJYWEh3t7eNuLOitzZ8/PzKSkp+T8mWLcnaqropXtrocPfISQkhPXr1zNs2DAAIXiTqEgs5ODg8NIv30viHmuKi4uxWCykp6fbiJegtJ3LOoBWrlyZTp06ib9f5PielZWFRqMRL+BnZWWJunz11VdMnjxZiDBcXV1typebmyvE4N9++y3fffcd6enpBAYGsmfPHuFcB6Vz7/z588IxXOJ5ztd/B+sxcPfuXeAvQa7FYuHatWtCfPjOO+9Qq1Yttm3bRqtWrWyuo1AoWLZsGQMHDhROly9Cq9WiUCgoLCzk3//+t91zJFFuYWEhBoOBEydOkJCQYHNOtWrV0Gq1+Pr6MnjwYPF5ixYtcHBwwMnJiaCgoHJiiRs3bgjh/9+h7FizFoHZw3rs/VNHW3tu1H9HIOPm5iYE54WFhRiNRpRKJa6urqxYseK5QhKz2czDhw+pUaNGhcKuq1evAqUxsnnz5lSpUsXm+JEjR4iOji4nVP5fI/WVWq22O1csFguZmZnPvcZ/MxFL2Wt169bN5m9pfNSpU0eIqkwmE3l5eeXiocFgIDs7+3+y9lbEixxny65z9tpOiq1S0gt7AuVTp06hVqvF99Vqtc3Ye1EykRe1icVioVOnTrRp04ZJkyaJ2H3jxg2USiXNmzdn6NChhISEkJmZiVqt5vz580yZMoXWrVuTm5vL77//zokTJ/D396dWrVoisYNOp0On09nUvWx5MjIy6N+/P2+//Xa5NrInTHR3dycsLIyZM2fSuXNniouLcXZ2pkqVKiJel00g8XeRHMzNZnM5l+uGDRuyYcMGXFxcKCwsZPr06SxdutSmrBaLBWdnZz744APAdm0ym83MmzePmzdv4uLi8sJ48zz+/PNPioqKSE1Ntdm72outFSXkgVLxcVJS0nPv9b/gRe7yL9p7QGkdXjQH7GEwGHBxcakwjr/sfsJ6br4IpVKJXq9/6Wv37duXHj16lPu87Lh4niOxr68vAM2aNeO1114jICCg3LX+/PNPsQ9s3749QUFBjBs3zua8+Ph4GjZsKP5OS0sTCSKs63fv3j2OHz9OfHw8f/75J/369eP69et2yxcXF0dCQgKDBw/miy++sHm+snZqNxgMYk4rFAoiIiLo27cvPXv2FGtDfn4++fn5KBQKYmNj8fHx4dixY3h6etq9t3X9XwbrZ5UX9V9JSQmenp527y3NuXbt2onr3b17l4yMDFE/BwcH8vLybPbmFoulwoQvkiBfoVDg7OyMt7c3jRo1Qq1WEx8fj6+vL1FRUWKcPH36lC5duhAUFMSZM2eIj4+nU6dONuNIErtLcSMsLOwfiWyt487LzJP/dB//Mkh7L+leq1evpqioyGZ8m81mnJ2dUSqVxMTEEBsbi6OjI0ajkdTUVO7cufNS9zIYDPzwww/l4ozULnPmzKF///58++23XL16FY1Gg8lkwsHBgd69e9OgQQMePnxo03bSmJX2QdeuXSM4ONjm+lqtluDgYJtkDRaLRdS57DqZmJgo1o2+ffui1+txdnYWzzzSfufZs2eoVCr69etn07fSd6WEWv8Ue2tXy5YtqVu37nPngDUGg+GlxpG93xcyMzPtjvPExESb87Ozs3n69ClQ+lxrNpvJz8+nefPmbN26laFDh3L16lW2bt1KYWEhnp6ebNu2rVw/ycjIyMjIyMjIyMjIyMjIyMjIyMjIyMj8d5HF6jIyMjIyMjIyMjIyMjIyMjIyMjL/iObNmzNu3Di6deuGQqHgwIEDmM1mevbsKV5yDg8Px9vb2+6L8U5OTjRo0KDc5y/rxvoiEVT//v156623yn2uUqnsioVelpSUFOLj41/q3KdPnxIREcGYMWN49uwZ8+bNIzMzE6VSKYQrEhqNhtq1awtXP4vFwv3798nKyrJpD1dXV3r37k1gYCBKpZLExES++OILHB0dcXZ2ZsWKFbRo0QL4S5Dw5MkTfv75ZzQaDcXFxeh0OtLT023uL7knVoSvr+//UYd1ayoSsfxdkalUv6CgIIqLi4VjXVxcHAEBAcKxrWyiBIni4uIKRSJlx3hZAaW1w7OjoyOffvopr7zyynPLW6VKlb/1Qr1arcZgMJCbmyvKk5ubi1Kp5F//+heLFy8mOzsbpVJJw4YNef3116lfv76NoEFy+lu5ciV//vknZrOZypUrs3//fnr16sXIkSNZu3YtOp0Oi8VCUlISfn5+DB06lOHDh1O1alXMZnO5sSK53L0s1uIiV1dXAgICiIqKwtPTk5iYGM6cOQPA/v37hVjBWlAPpWILSbig0Wjw9PREq9XaiCfKCldKSkpeGH/UajVGo5EaNWrQrl07AgICyomhHj16hIuLCykpKcTExIj+OHbsGMXFxeTn5zNq1Cjq1atn0/4FBQUEBgaKz/6J6/fz5mnXrl3tuqdC6RidPn36S8dHyZnUmpeJ3dausNKYMJvNIhnBkiVLWLVq1XMFlJKY+HkOpBaLhYSEBCIjI1m5ciU//vgjYWFhdq/1T3jevR0dHWnSpAn16tWr8Byj0fhSc8LR0bFcn/wdMbhUTnvrsL3x9fDhw3LCfoA7d+7QpUsXFAoFBoMBPz8/Fi1aZLcd/k+K1SW8vLyIjIwsJ5iVEsRYu0dXJNaTRE9QOiYdHBxs4kVsbCwWiwVfX1+MRiOurq4ioYi0J3F0dHyuO7Z0b2dnZ5v29/Dw4PDhwxw+fJiHDx8KgaSHh4doz+bNmzN48GC0Wi1Go5GrV69y9+5d1q1bx969e+nYsSP169dn6NChbNiwgc6dO2MwGDAajRgMBiIjI5+b6Gfr1q38/PPP1KhRw6beCoWCV155xWY837lzhwkTJpCSksKYMWMYOXIkSqWSZ8+eCZfVl0nuotPpXugkLDm3arVacc1du3bx+PFjlixZIhyj9Xo9NWrUEN/TarXodDru378P/NWnEomJidy/f59WrVrx2muvvbCsSqXSZi0vi0qlokmTJri4uNgV6dWoUeMfx5v/Bv80yYVSqaR27dovPO9lRO0BAQHl5kdubm6F4kcpic6LxpL1s4NSqXzunsNsNlNQUCCu/bw1U6vVcurUqRcmvFEoFM+Ne1ISgi1btvDzzz/z7Nmz5/bHqVOnePr0KZGRkdSpU8fm2MWLF2nWrJlNbO/WrRu9evVCo9HY7JkrVaqETqd7YUKCCxcu8Mcff2CxWAgKCrJ7jjR3atWqRZMmTbh06RIJCQm0bdtWrFEqlYp27drx3nvv4efnR3JyMlC6rtjj7yadUiqVGAwGgoKCnitwVyqVzJgxg8OHD7N58+YKY/KPP/5ISUkJLi4umEwmMYarVq1KSUkJGo1G9GtZkXxZl+esrCy6du1K9+7duXnzJmvXruX69evieSA5ORlfX1+bxA4///wz9evXx8PDg++++46wsDCxl5USJ8Ff+5SYmJgX9qU9rONO2WdKe7xs8oC/E1P8/Pzs9rcUW/Ly8ujbty8nT560uX5eXh4qlQqlUonJZCInJ+cfxbLExETMZjNOTk6iD00mE6+++ip+fn7Mnj2bFStW4OjoiK+vLxkZGeTn59OgQQPGjh0r7lm2DkajEX9/f5KTk8nIyLDZrwUEBDB+/HjWrl1rk9yrcuXKDB8+vNzaZzabKSwsZNCgQXTr1g0XFxcyMjIIDAy0OffAgQOMHDmSpUuX2k2uA6VJoF5GsP4ybanVavn+++9fOjmAdX1edJ+Knrm7du0qfhMpe771tayfKfz8/Lhz5w4nT55kypQpbNq0iby8PEwmEy1btmTPnj2Ehob+X9mjysjIyMjIyMjIyMjIyMjIyMjIyMjIyPy/hCxWl5GRkZGRkZGRkZGRkZGRkZGRkflbPHnyBCh1GO/Tpw8hISE8fPiQ48ePo9Pp+PTTT+nZsyeDBg1izpw5pKamMnz4cOrWrWvzMnV+fj4ODg42L1+XFaNIL3yXfcE5ICCgQvdrid27dxMXF1fuc5PJ9I9c6V4G6WV6qbwGg4ElS5bw8OFD9u3bR+PGjTGbzbzxxhscPHhQOKVJ5yYnJ9t9gVqv19O6dWsmTpzIjz/+yKxZswgKCsLNzY22bdvy9OlTrl+/TmBgII8fPyYmJgYoFSRIIlq1Wi1eCJdEOtZYLJbnCo2ePn36XCe1+vXrv5SYSaFQoFKp0Gg0wuX7v4G9l+B9fHyoVKkSUOoCbTQa0Wq1xMTE0LdvXz755BNyc3OF27kkHJD6ICIiwuZ6KpXKxvHYerxKAki9Xm/Xua+wsBA/Pz+USiVKpZIzZ85U6NwtiUcuXrxIQkKCXQdre9SrV4+oqCjAVkxhNpuFuFv6+/jx41y5cgWj0SjEMFA6t3Q6Hfn5+XzzzTdkZGRgNptRq9XMnz+fsWPH0qRJE1q3bi2+k5SUxMaNG1m7di1xcXG8/vrrlJSU4OTkJISRRUVFQsBYFoVCUU5oISVTkPotJSUFrVZLeno6Xl5e1K1bFygVoN69e5cePXqwefNm6tSpY1e0YTAYSE9Pp6SkxGbsGwwGIUCS5q+ERqOxK5BTqVSEhITw4MEDHB0d+fbbb/nzzz+pVauW+L5SqSQ9PR2lUsnp06exWCzlxtO9e/e4ePEiVatWtfn86dOnok+Kior+ttjEWvhRti3++OMP8vPz7dYrISGBBw8eEBkZ+cL7/SdI86t69eoiGYMU6y0WCyNHjuT+/fsvFNCYzWZu375dodhKcrI8d+4cO3bsYMOGDX8rYcKLeF48NJvNXL16VYhkKxJDFhQUvDA5gNFofGnh2PPKaW9tycnJKff5vXv3yMrKsluOw4cPi/ImJiaydetWDAYDzZo1+0euyi8rONPpdHZFS9akpaWRm5trE8+g1DFco9GQm5sr+qGsYF2hUNCxY8dy88LNzc1u20dFRaFWq0lPT+fy5cvic2dnZ7Zt22bTftbCT0nQ6ubmRn5+vhChBgYGMnz4cAoKCtiyZYvYu3h7e9O8eXMbIeyrr75qI8i+d+8e169fZ9asWZw8eZLTp08zf/58Vq5cyccff0ybNm0wGAyo1WquXr1K//79KxT+1qhRA5VKxbNnz8o5lMfFxdG3b1+b+Xbp0iWGDBnCsmXLOHLkCDk5OTbXe5kEN0VFRTbJXSra90FpbDMajWKdnjdvHmlpaWzZsoUePXqQn5/PvXv3xPmFhYV07NiRjRs3AqXx0NolWeLIkSN89913L3SBNZvNGAwGBgwYwPvvv19OtFhUVMT58+fJzc2lWrVqNnXQarV07NixnMC1IlxdXfHx8Xmpc1+EVI7u3bv/o32Xj4/Pf01kHx8fT1pa2t/6jpTI5Hmxsux8Li4uxmKxiPW1olhjsVjEmunr61vuvJKSEhtHcYDBgwczd+5cGwG0xWJ5qeQMULp3lOpkD61WKxKGjBs3jps3b9K9e3ebc86Kku1uAAEAAElEQVSePUvDhg3RarVkZmbyr3/9i8jISJtnECiNi2Vjor1kJGazma+//poJEyYQGxvL+PHjbfYsCoWCGjVq0KRJE2JiYrhx4wZeXl7k5eUxa9YssVcxGo1kZ2fTunVrduzYwTvvvFOu36S/1Wo177zzDoGBgTbHK5qHOp1OJEoqLCy026fSZ2azmQsXLuDk5MT8+fNJS0tDoVDw+uuvl5uDTZs2ZdWqVfTo0cPGudrd3d1mnZeSUEj9lpGRQdeuXW2udfjwYby8vOjatSsPHjzA3d1d7INr1qxJv379CAkJEcmyoFR47OHhQV5eHps3b7YR9v839ywSUvtKSSAqShbyvGQ7En9H9JuUlCSewaOjo0U5bty4Ic4pLi62Ga+SQ7jFYim3JlmXW6/Xo1QqqVSpkhgD9sbR0KFDad68OWazWYzDX3/9lffee4+dO3dSrVo1Jk6cSFJSEnXr1hXtf+rUKeGInp+fT1BQED179hRrnMFgICIiguzsbJtY+ejRIyZPnkx0dLRI3ACla3t4eDh169YVz3jS7xoKhQKTycT69etJSEigpKSEo0ePolAoxL62sLCQ33//nZiYGGrUqIGfn1+5pFnSeS+iot9ErNvPaDRiMplQq9V07NhRtPnzkt/Y40WJaazZv3+/3VgFf407X19fatSoIZ71k5KSGD58OA0aNKC4uJiUlBQaNWrEkiVL2LRpE/7+/iJJiYyMjIyMjIyMjIyMjIyMjIyMjIyMjIzM/w5ZrC4jIyMjIyMjIyMjIyMjIyMjIyPz0ly4cIEuXbowY8YM4K+X6NeuXQuUuiM2atSIwMBArly5wg8//IBaraZevXps27atnNP57t27bYSVZd2oTSYTjo6O5YRl8fHx4oVtsC9CMRgMnDt3zu7L6vaEeBVhz4m3ovvWqFGD8PBwm/JmZWXxww8/4OrqyquvvipE4Xq9vpywJS0tjYSEBEJCQmwERQUFBbzzzjsMHjwYf39/ITSOiIhAqVSiUqmwWCxCHJ+WliZeCE9PT8fPz08Ijl+ERqN5rqinIq5cucKtW7deeH2LxYLJZEKn05GdnW1z35fBXn9W5GiZkpKCwWBg+vTpNGzYECgVHsXHx3P37l0bcVFhYSGLFy8mPDxcfN9gMNi4n2s0GhtBvtFoFGIlqQxFRUV4e3vbiAlNJhNZWVkkJSXh7u5OYWEh//rXv2xEMNYi55ycHHQ6HXq9nkOHDgkH67KCH2vBCcDly5cpKCigatWqNsIqKBUiV6lSxUZcFRcXR2xsLJ06dWLixIk0adKEZ8+eCXFATEwMmzZtEm7j0v2WLVvG0aNHxXXc3NyE26zJZCI2NhYoFSJJAvXniQADAwNxcXERQg1r0WtOTg4FBQWUlJRw+fJl2rRpQ7t27cQcvnTpEgsXLkSj0WAymVCpVISGhlZ4Lwlr51tJtCI5sQcHB/PKK69Qp04dqlWrRlRUFE5OTqKdi4uLyczMpEaNGhw5coS5c+fy66+/cv/+fSEWkcQQ1qKV27dv25ThwIEDmEym57owl5SUVCg2sW6niubm0KFD6dWrlyh7bm4u58+fr1BovWvXLhvh0H9C2ThiPX6VSiVvvPGGcNDs2LEjLVu2BP5yYrRYLHTp0uWFYi0psUFZsrKycHZ2xmKx8OWXX7Ju3ToePXpEx44d7Ypz/lPxinUMKy4upqSkhOLiYkJDQ5kxY0Y5MXdQUBCOjo4vFIFaOwZDqWCvbFntlV2v19usIyqV6rniYQcHB1HG/Px8ABv3eilpgvU6ff36dQBSU1Pp0aPHS4s1JV5W6FZcXIyzs7MQSUmUrfejR4/KxUkPDw8xpqz3G9YxzWKxcP78eZRKpahnvXr1mDt3rs1eQ+LIkSOiHazH38KFC7l27Zo4plaryczMxM3NTazTANnZ2dStW1ckEenatSvvvPMOAQEBpKSk0LBhQ8LDw9m6dSu+vr6irhaLBWdnZz7++GPefPNNmjZtyh9//MHo0aM5efIkBoMBR0dHSkpK2L17N6NGjaJx48aEhISIWPzDDz/YOLxKqFQqKlWqxMiRI5k3bx7NmzcX91Wr1SLpjnX/S2Px9OnTQiSuUChwdHTE39+/XAIce2JjSbSr0WiEc669NV0auwqFQsSv5ORkpk+fTqdOnUTfWn/PaDTalMFsNttdi6Tx8TJJIVJTUzl69CgajYbu3btXuHd58OCBTVlKSkpYu3YtiYmJL7wHlK591slx/g6ScE9C2usMGjSId955529fLykpibt37wL2Y400Rq2xFlb+NxITmUwmESvtlcG6rU0mE25ubpSUlJCYmEjTpk1fGGuUSmWFCaPKOv9evXoVJycn1q1bR0BAgPhcrVaXG1/2ylr2WcfaIR2gW7dufP7554SFhZGZmYm7uzs9e/bk008/tdmjnj17ViRMaNasGYmJiUKkX7lyZerWrWt3f/Hs2TPxbw8PD5tjDg4OzJs3j0GDBtG6dWsUCgXOzs4olUpu3bpFdnY2jRs3xmQyiWeWZs2aoVQqGTNmDD169ODatWts3LiRu3fvMmbMGKpVq2Zzj6pVq4pERN988w05OTk2sUGah2XXk8LCQvLz89Hr9aSmplbYp5Jg+datW8yfP59z587h4ODAjBkzWLx4McuWLRN10+l0nDt3jh9//JH+/fuLshYXF5OTkyPEuFICIp1OR+PGjYHScdGoUSM6depkc/+ffvoJf39/PDw8ePLkiYi99+7d4+eff6Z79+5CJC4l/7h58yZQuvbm5+fj6OhIREREhUmeJP5J8jVpr22xWMjIyLBZr6yR1vf/JkVFRfj7+9OpUyc8PT1fat9VWFiI0WgsN7cMBoMYNwUFBSgUChwcHFCpVDg5OdmN56tXr+b06dMA4pkBoH379ixfvpwBAwawd+9ejEYj3bp1Q6VScezYMXJyctBqtajVaiIiIoiLiyMlJYV+/frh6OhIWloaycnJNvMtNDQUV1dXiouLiY+Px2Kx4OHhQUhICFevXmXu3LlcvnyZ1q1b4+7uTklJCXq9HovFwrfffktQUBBjx44VCTe8vLyoXLmyaAe9Xk/t2rW5f/8+Xl5eYs3+u0jXs143VCqVaL/q1auLc4qLi8XnBQUFNGzYkMmTJ78w0Qv89dwl9bmXl5fNmLPeb0JpHPjjjz+ee82UlBRiYmLEPPDw8GD06NHMmzePLVu2cPbsWdasWUPPnj3FNV+mrDIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/xnyr/EyMjIyMjIyMjIyMjIyMjIyMjIyL40kgN27dy9z584F4O7duxw5cgSlUklJSQn+/v60a9fORti2Y8cOiouLywloJKxFCpI7tYT0or7FYkGr1YprWDuUPU+E8p840kKp4KismKOi+969e5e0tDSio6OZPn26+FwSX6nVavR6PUeOHKFz5852RaHBwcF88803LFmyBH9/f/FS96hRo/j3v//N9u3bGTt2LAUFBSQmJnL8+HHxwv2dO3fw8PBArVazdu1aUe6kpCT8/f1RqVQVCgOk8hkMBpt6/a/cx8o6sBoMBvr27fvC79lzRLPX/56engwePJjVq1fTv39/HBwciIqKshEyu7q6CpGGQqGgsLBQCLIA7t+/L8S0UDoWy7ptp6Wl0aRJE6ZMmYKfn59IGmDt3GgtvMvIyLApr6OjI3q9nvfffx+lUinGa2FhIW5ubjYv7pcVtUrn9u/fX3wWExPD48eP7bad5BgoOf36+PgwY8YMZs2aRc+ePRkwYADt2rUTro5KpVIIaqU2P3z4MBs2bKBmzZooFAo0Gg3Z2dm0aNGCNWvW4OzszLVr14BSQabRaEShUNC+fXugdK67u7vbzCkfHx8MBgNVq1bF2dnZRlxo7YJrMpm4d+8emzdvFoIpd3d37t69K8Rk165dw8HBwa6A0NfXV8Sa3NxcIiMjcXR0FGWUePr0KRqNhqSkJAoLC7l69Sqenp588sknIjZlZWURHx+PTqfj5MmTTJkyBaPRSG5uLuHh4TZ9XpHzYFZWFiEhIeVE7BKSiKkiYUVZIag9fv/9d77//vu/5X75PMfwiig7J3U6HePGjbNxhbcevxaLheXLl5OXl4eDgwMffPCB3XZyc3Nj8ODBLxSXVCTCzsvLE0JJhULB+PHjadGiRTmxoPX97LlT/l2cnJzo0aMHKpWKhw8fMm/ePKZOnWqztsXFxREUFPRS7tOAEPkUFhaK/pTmkSTSsqagoIDs7GzRdiaTiZKSEtRqNT4+PjZ95uHhQXFxMc2aNbOJb2azGWdnZ7p06UJhYWGF7umPHj3it99+q7Bd/1PMZjM3b97k2bNnIjEGUG6tUiqVogwNGjTg1VdfJSMjAxcXF7tCeuv9gdlsFgkGKleuzOTJk1m4cOHfSm4zceJEKlWqJPpUpVKRm5tLXl5euZhUpUoVITR9+PAhGzZsIDY2lipVqtCsWTP27t1bYeKNdu3aMXfuXD766CN8fHxITU3FYDBQpUoV1Go1BQUFuLm5kZqayhdffGEzf5KSksjKysLPz084ukLp+Pjzzz9ZsmQJY8eO5dKlS0CpgLFVq1Z0796d69evU1BQgIuLC40aNWLMmDFUrlwZlUqFi4sLHTp0IDAwkCZNmpCVlSXuq1KpUKvVmEwmu3NZp9MRERGBTqezEfVLKJVK+vXrh7e3txD8SWWD0nXi6NGjFc4lSUAP//meEErbcNOmTezbt++lzreOg2VRqVQVHv8nsRiwK3I3Go0MGTKEn3/+mYCAgAr3tS/Cum/8/f3p3bs3n376qU2CHuk8qc2NRmO5RAV/d29p/f2oqKgK47R0XnZ2Nu7u7hQVFXH16lVq1qz53KRIkohR2qdbI+1XpfpcvnyZ8ePHs3nzZkaOHClib1FRkc34snbhlqhZs6ZInmRdXun//v7+NGnShLCwMCG8zc7OZuPGjbRo0YIFCxagUCjw9fWlQ4cODBw4kOjoaHr37s358+eB0ueINWvWsG/fPtq0aSPuZa/NGzRoQLNmzcTfxcXFPHv2TKwX0vrs4eGBxWLh/v37FBUVERUVhVKpJCUlhfv371OpUiVCQ0OZMGECPXr04OLFi+zevZvExEQePXpkc88HDx7g6uoqxn1ubq5NLLJuG3vxwnrvExAQIJJI+fn58corr4i+v3LlCrt27cJisdCiRQvee+89iouLiYqK4qOPPqJ9+/YUFhbi4ODAgQMH2L17N7169RLXrlq1Kp07d8bZ2Vk8e+Tn55OTk4OLiwsWi4WdO3eKfaq0t87Pz2fjxo2kpqaiUqnEmqRSqdi/fz8JCQm88cYbaDQacnJy8Pb2JjIy0qZ/ioqKyu0NpXjn4eGBSqUiODjYbvsolUqbJApl+71sAiSLxYKTk9ML1297yUb+CQ8fPmTz5s1UrVrVJrmbVJeK4rjZbBZrptQW1vtKk8lEUlISFouFoUOH0qBBA7tifpPJxNixY2nfvr1IlHLv3j02bdrE1KlTuXz5MtOmTePVV19l1apVjBkzRiTXk4TntWrV4ty5c9y9e5e3335bCNZzc3PFfTIyMvjkk0+oUaMGBoMBhUJBRkYGiYmJODo6ijh97NgxsrOz8fHxoaioCL1ej8lkYs+ePZhMJn755Rd69OhBYmIit2/fFu1QUFAgxkhSUhK//vrrP+qPrKwsPvjgA5YuXSrGjYeHh2i7Bw8eiEQ+EydOtNmDnTp1isOHD7/UupqTk0O7du3o1q0bb731Funp6TZ7Ai8vL+bNm1fh96U+t36+htKkgnFxcSiVSrp3786NGzdYsmQJO3bswNHRUdTDOkGRjIyMjIyMjIyMjIyMjIyMjIyMjIyMjMz/FoXl77yhJCMjIyMjIyMjIyMjIyMjIyMjI/P/PCdOnGDcuHEUFhYyZMgQmjRpwieffMLAgQPZtm2bEBG4uLjw5ptvcvLkSR4/fky1atWEiPZFP0uq1eoKX5qPiIiweYHfyclJuMBCxS7b/wmOjo4UFRXh5eVFZmamXSdc6/sGBASwdOlSTp06xerVq8U5lStXplGjRvzyyy/PfbG7VatWDBw4kFmzZpGUlGRzP8kBWqVSoVKpqFq1Knq9nmvXrgmHaEdHR3777TdOnz7NlClTxL28vLxIS0v7bzVLhbi6upYTo78MISEhwpW7LH+nX4cOHcrEiRPFi+k//fQTCxcuxN3dXQixpT79u+NFEpRbf8/V1ZWioiLUajXFxcV2x4eLiwv5+fmiLzQajRCiSe6OLyM+dnFxsRFDQKkr77Nnz17oiN24cWOWL19OTEwMa9eu5eLFi3Ts2JE333yTY8eOCVfxDRs2kJeXR2hoKN99952Ns/D8+fP57rvvWLBgAQsXLkSpVFJQUEBeXh5t27alTp06NmNeQqVS0apVK+7cuUNqaipeXl7CMV5qA6k9VSoVERERuLm5kZSUxIMHD2zO0ev1TJ48mdjYWLZs2WK3rn5+fiQlJZX73Dq2ODs7o9FobIR9Uv9K59WuXZsGDRowcOBAfHx8OHnyJJ988ondPnZycmLVqlU4OzvTt29fFAqF6O+goCDi4uLEuSEhIeLvsrHg745JKSaU/b40xiUaN27M+++/z/Lly4mLi8PBwUG4JP43Y6ZaraZx48Z8+eWX/PjjjyxYsEBcv3r16gwbNoy9e/dy8eJFcf4777zDrl277MZ9rVaLUql8ocMo/FV3KZGClMTAXuyzTg4hERQURGRkJD///PNz7+Ps7CySt4DtfNZoNBiNRurUqWMzJ3U6HVOnTmXmzJkvrEdFlB3X1vcF+2ung4MDWq1WxA13d3e7AmwXFxcKCgrw9fXF2dmZmJgYcY/GjRvz559//uNy/7dQKBSEhoZSVFREfHy83XMcHR2ZOHEi7777LklJSSxbtoyoqCjMZjMLFy4Eyq9RXl5edOnShV27dmEymVCr1eh0OtFmWq22nLsylAq6lEqlzdhycHDAYrHg7e1NcnJyhXsZad66u7uTnZ1NREQE+fn5rFmzpkKRuoQ0xp8+fcqQIUN48uSJOKbX66lbty5Pnz4lISGBSpUq2RUv165dm6VLlzJjxgwxF11cXGjWrBm3b99Gr9dz//59AGbMmMH9+/fZtWsXSqUSV1dXBg8ezB9//MGjR49ITU2ldevW9O/fn1OnTrFjxw6gfFz38vIiOTlZxB5rfHx88Pb2JiEhgczMTJux7OTkxCeffIKfnx/jx49Hq9Xi7u5OQkJCuXpptVqMRiMODg6UlJTYxEZ7c77sfCgbT5+Hl5cXbm5uPHz4EL1eb7OGS9fR6XTlxKESLxvrn7cn/ifMnz+fhg0b8v7775OSkvLcctlrM0D0oeQAHR8fb3MtrVZLo0aNuH//vljr/fz8yM7OrrA9JCRn5JycnJdqI3tt7O/vT2JiIh4eHmRkZIh6vEz/urm5kZ2dXe7zv7u3rWjt8vb2Lrf/0Wq1REZGcunSJerVq0fnzp358ssv6dy5M2lpaZw9e5ZGjRrRunVrvvjiC1avXk2rVq04evQokydPBkoTEj18+JDevXszb948Dhw4wPTp00X/2Zt3ULofefr0qWiXgIAAXnnlFQ4dOoS7uzuLFy/m9u3b5Ofnc/v2bX788UeaNGmCXq/n+PHjQpQ/ZMgQJk2aRFJSEmvWrGHgwIGEhoZy6NAhpk2bRlFRkU37q1QqNBoNJpOpwsQMQUFBeHl5cfnyZZvPPT09cXd35/Hjx+h0OvLz81m0aBEtW7Zk0aJF/PLLLzbjJioqit27d4ukU0qlko0bN7J06VKbtunTpw8pKSkiUZVCoWDIkCEcPXpU7NmkMeni4kLHjh35/vvv8fLy4q233mLHjh3k5uaiUCho2bIlTZs2Zdu2baK/HRwcMBgMvPHGG9StW5dDhw5x5coVu/O77B7OmufNC7VaTZ06dYiNjSU7O1uc9794Pv5PKFuewMBAhg8fzv79+7l27Zo45uXlRVRUFBcuXCA3Nxez2YxWq0WlUol5L+27LBaLSJ7SrVs3mjZtyvLly8WzpUKhYMqUKQwaNIi0tDQOHTrEqVOnuHHjBlqtlgYNGhAUFISnpyf79u3j/v37BAUFMXDgQJ4+fcqOHTswGAy4ubnh7+/PvXv3aNq0KT4+Pvz000/l6ib1oU6no0ePHuh0Om7dusWlS5fEOQ4ODowdO5YqVarw1Vdf8ejRIzGmFQoFXbp0oXnz5nz11Vekp6dX2J7SPtfefuVFsSsiIoLBgwejUqmYOHEiJpOJqlWrkpCQQHFxsYif0n5CSlxgPZfr1q3L1atXqVSpEllZWXbHmlqtZtasWTRo0IDk5GQWL15MTEyMuE716tV58OABderU4eHDhzZxXWqvZs2aYTAYbNqwcuXKpKamMmHCBH7//XcuXLjAZ599Rr9+/Sqss4yMjIyMjIyMjIyMjIyMjIyMjIyMjIzM/w5ZrC4jIyMjIyMjIyMjIyMjIyMjIyPztzl+/Djjx4+nsLCQypUrk5uby9GjR4mNjeXXX38lLCyMe/fuceTIERsHdE9PT5o0aVKh+1dZ4V1FSC9NV6lShWfPnpU7XpEYpSLRzcvStGlT6tSpwzfffGPzeUUCgLVr15KRkcH06dPtHrcuZ1hYGDExMcJhzt/fn9zcXPr378+mTZtsBCYDBw6kZ8+eODg4oNfr+de//sXChQvp2LEj//rXvwBo1KgRADdv3qxQ7GAt8JHKUqlSJVxcXGyEtWWxJ5i2pm/fvvz0008vJS59Hv9UWOHv78/IkSPx8vLizp07rFy5EigVq1y9ehWgwrHzMvcuO04VCgUdOnRApVJx9OjRcmIcR0dH8vPz7QpPpPs4OTnx6quvcvz4cdLT08U91Go1ZrMZs9lMzZo1SUtLIz8/v5wwy/p8SfRStp8aNGjAvHnzCA4O5vz586xZs4YLFy7g6ekpRB46nY6kpCR8fX0ZPHgwH3zwgXAcLSgooFevXmRkZLBnzx4+/vhjYmJiqFSpErm5uc8V00lzT6/X4+PjQ2ZmphCD1apVC61Wy7Vr19BoNIwcOZJRo0YxadIkfv75Z5o3b05hYSFXrlzB2dlZtENsbCyOjo6oVCqbhBUvg9ROarUaPz8/IXy1Fi76+voybtw4unTpgqOjI0qlkjVr1rBixQq0Wi2Ojo5CFCK1c9euXenatStLliypUEwrXXvAgAGo1Wp27NjB06dPn9tuQDkxpD20Wi0GgwFnZ2ebvtdoNHz++efcv39fxC9/f3/R1/aE/f8JI0eOJCQkhO3bt3Pz5k0bwawU49Rqdbl4b08kKM2RunXr8ujRoxf2tSQ602g0mM3mlxaeSpQVr1a0bnh5eZGXl0dRURGBgYGiDyUXVmmOWscRvV5P8+bNOXbsmM21nidofVl8fHxwcnIiLi7uhXV2cHAQ7S+JmhQKBU2aNGHWrFk4OzszatQorl+/Lr4jJVyQxMBlk3b8t1AoFAQGBhIcHMypU6fsHo+IiKBevXqcOXOGuLg40T916tThs88+o27duqJcklPp/Pnz2bFjhzi3bDwODg4mIyPDZt4EBgZSWFhoI0YvW2dXV1f0en25OdS6dWsePXrEs2fPqFmzJunp6TYCVYAePXqQkpLC9evXWbZsGZGRkXYdhu0hleHs2bMsXbqUmzdvimNubm689dZbZGRk8P3332OxWMoJnlUqFStXriQiIoKJEycKwbqzszMqlYqCggIMBgPBwcEkJCRgMBiEU+3JkydtknFI7eLh4UF6erpwe3/nnXd49OgR586dE+f5+/vTt29ffvvtN27dulWuXjqdrpzIHEoF6y1btuTx48cYjUaR/MgeCoUCd3d38vPz7SYZkNDr9axdu5YpU6bY9J/UxxEREWRkZJCUlIS/vz8mk0kIsqXYLwkEreOzNLakNvf39yclJaXCeRkaGkpqaqpdMaEUf14mMYU1arUai8VS7p5arZaRI0fy9ttvc/nyZT777DMyMjJs6l22jewl4dFoNLz99tv8/vvvpKWlYTKZ7NavrDD7eQJcCYVCIRL8lL2mVEZJIG3tzGxd9ipVquDt7S32fNb4+PjYFem/LJIA/mXQaDR4enq+cI1VKBSMHj2a2NhYDh48SGBgIE+ePGHEiBF0796dhQsXcubMGXQ6HY6OjmzcuJF9+/bx3Xff0bZtWyGutlgswt189OjRPHz40G57KxQKISq1FqFK41haR2fMmEH//v0pKSlBq9WSnJzMqlWr+OCDD3B1dWX27Nn89ttvWCwWAgICWL58OXq9nuTkZIqKinB2dqZp06aMHTtWPPtZt79Wq0Wj0dis69IaLM2xdu3aoVAoOHHihI1TufXa7O3tza5du6hcuTJpaWnMnTuXI0eO2NS5T58+zJs3D6PRSEpKCmfPnmXVqlUkJiZiNptFndu1a0d8fDwPHjxApVIxa9YsGjVqxLBhw2z2ddWqVePdd98lNjaWkpIS9u3bV27+qNVqhg0bRkpKCvv37wcQiTTeeOMNhg4dypo1azh48KDol7LX+E+fXa37/J8mx/hPy2Dv+V6pVKJQKJg9ezZhYWG4ubnx888/s2rVKvr378+RI0dE7JDGRNlyWP9tXT8pQZ6zszMODg5kZWWJOjVv3pxp06ZRo0YNlEolRqOR4uJiCgsL2bVrF+vWrRPrhlarZcCAAQwYMABfX19mzpzJrl27gNJYptfrycjIKPccZP0cqNVq+eKLL+jUqZMot/V8GDFiBOPHjyc3N5fTp0+zdu1a7t27Vy4ZH8DEiRO5ceNGubFtXf/33ntPJN6xpkaNGjx58qTCNVESxj948EAkCfP09CQ3N5fQ0FDu3Lnz3GQfzZs35/79+6SlpREZGcm1a9dQqVQoFIpy48nNzY3g4GBu374t1sjExERxvGfPnnh6eoqEZNIaGhUVxbVr1wgICBB7ACl51MCBA7lz5w4XLlxg8uTJDB482G45ZWRkZGRkZGRkZGRkZGRkZGRkZGRkZGT+9yj/bxdARkZGRkZGRkZGRkZGRkZGRkZG5v//aN++PcuWLcPR0ZGEhAQ0Gg1JSUlERkYyefJkHj9+zLZt22yE6gDp6en8+eefuLi4oFary133ZYTq8Jcgxd3dHZ1OV+54RS9Sm81mfH19hbClLEql0ub/ZXn27BknT54sd9xisVC7du1yn0+fPh1/f3/at28PlIrarOttMplwc3NDoVCIF9IHDx6Ml5cXCQkJuLm50a5dO6ZPn46Li4so99atW5k2bRrr169nypQpbNq0CYBBgwaJl+EvXbrExYsX0Wq1dusCpS/aBwUFibJ4enqSmZlJUVERjo6OFX7PWsxnr6327NljI47RaDQVXkun01V4XOpn6zqUrY+9vkxKSuKzzz5j1KhRrFy5EoVCgVKptHlBXxIQtmzZ0uY6Un2eJ+hQKBQ2bm0Wi4Vjx45x9OhRUV9pXCqVSvLz8+nYsaNNm1SrVo1p06Zx4sQJ1q9fz65du5g3bx6TJk1CqVRiMBhEH0hO33fv3iUtLY3i4mLhagdQtWpVMXesBQFSPzk4OKDT6bh8+TJz587l6dOnVKtWjX79+uHp6UlaWhpZWVlkZ2eTl5fHzJkz+e6774RQ/dSpU+Tl5aHX6/H09MRgMAhHVYDMzMxyzt5lkcQkJpOJ2NhYGwHGnTt3aNy4Me7u7hgMBn744Qc+/vhjfvrpJ/R6PVOmTKFBgwYA5OXlcenSJXJycujfvz9NmjTBYrHg5+dXYX9J/SDRvHlz4XBoNBpF0gK1Wm0jlE5OTqa4uBidTodSqeTWrVts2bIFpVJJ9+7duXDhAgcOHECr1VK3bl3q16/P4cOHOXToEHXr1i13b61WS/PmzVGpVCQnJ7NkyRIWLlwoRM4KhcKmX6V2k8Z8QUEBzs7OtGrVqsJ6Go1GJkyYQJ06dYDShAVQGlu9vLyE0MrJyYnExEQiIiKe69T4MtiLAWvXrmXq1KncunWL6OhoZs2ahVarxc/Pj44dO/Lpp5+yY8cOERul+mdnZ4syS20hiRH79u1L06ZN7d7fOi5IiT0MBsPfFqqr1WobobqULMJeHdPS0sSclvowKCiIvLw8CgoKhJDSmoKCAo4fP17uWoWFhXbnjUajoW3btjafKRQKm3OlWJOens7jx48xmUw0a9YMf39/m+9JoiHJxbd79+4cPXqUd999VwhbzWYzxcXFWCwWGjVqZHOfuLg4AgMDgVKhEZSPk2XHrzXu7u4VHrOmW7durFq1ihUrVtC/f/9yxy0WC7dv3+b27dtMnDiRqVOn4urqCpQK063vYzabcXJyYs2aNWzfvt2mPpKYGErnQ6dOnejYsaPNvdzc3GyE6lA+vhUXF+Pu7i7KIHHq1CmePXvGtGnTmDJlCpUrV6ZSpUpMmTKFadOmAaXj5sKFC7i4uPwtobo1zZo1Y9KkSaJPpDi2d+9eqlWrxooVK+jRo0c5sZjZbGbDhg3cvXuX6OhosQ7n5eUREBDAtGnTqF27NnFxcSJ+TJ48mXnz5tGpUychGJbQaDSkp6fj6upK165d8fX1xcfHh0GDBtm0WU5ODs2aNWPBggU4ODjYlMnf379c0gZpbufn53P06FHu379vI1SXjlvvrSwWC5mZmc8VqkPpfFyxYoVdobqHhwd37tyhevXqREREkJSUhJOTkzgvIiICR0dH0tLSUKvVQqgeERHBmDFjhAhSo9EIMayHh4fd/c7jx4/JyckRcdsaae00GAxUqlRJfO7k5ER4eLjdPTCUrnMffvihzbgAKCkpYeXKlXTo0IEJEyagUChEP9jb9xQUFBAcHEyXLl1sPjcYDDx69Ah3d3dMJpPdelWqVKlcgobnCdWl+GSxWMjLy7Mbv6UyWgtWpc8qV64sPnv27JndZAhQuvd9GSGjQqHA2dkZZ2dnm8//jru6wWAgKSkJNzc3fH19bY4FBwdTu3ZtUYdVq1bRpk0bevbsKRJG/fDDD1y+fJmaNWui0+koKChAo9GQnJzMd999B5TG1jfffFO0w5o1a/j444+5ffs2RUVFeHh4AJR77mrevDlKpRKVSiWSyUjjWHJT3r17N3l5eeK7kmA3NDQUb29vZs6cSefOnQGIj49n+vTpDBgwgCFDhjBq1CgGDhzIlClTxLMGQEpKiljnS0pKMBgMIkaoVCo6d+5M8+bNMRgMaDQaTp8+TXFxMW3bthXzSKfT4enpyTvvvENkZCQjRoygSpUqQKkYfvr06bRq1YqwsDBx7f3797Np0ya+/vprhgwZwvTp08nNzRV7DGlv7eTkJATyJpOJmTNnMnz48HLPRY8ePWLv3r0EBwezd+9e0f4ajUbECqPRyNq1a6lUqRK9evUSbQvw/fffM2jQICFarlGjBoDNPJfGRkXPrX+Hl00sY71WSIk//qlQXalUiqRS0dHRNnNJSiYkiZuvXr3Khg0b6NKlC2+//TbR0dGiLaR9WdlySPsz6+cutVqNQqGgUaNGItmMtDdxdXXl7NmzLFiwgNTUVG7cuMGyZcsoLi5my5YtrFq1Ci8vL6pVq4ZGo0GpVLJ//35++eUX4uLiiI2Nxd3dXSTdkJJWZGZmYjQaRT+ZTCaxPioUCuLi4sjJySEjI4PffvuNK1euiDrs3r2b+Ph4nJycaNu2LSNHjsTHx4f3339fPNtotVr69OnDwIEDmTFjhkhIZ43Uv3v27LG737p//z4lJSV292ne3t40atSI8+fP8/DhQ6A0Tqanp2MymYiJiRH1qohz584RHh4OwI0bN8T5fn5+4hlOIi8vj6SkJNq1a8eXX37JunXrRJwC+Omnnzh16hR6vR6LxUJycjJGo5GioiIMBoPNHkCj0TB69Gju3r3LhQsXmDRpkojv/40kDzIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyfx/ZWV1GRkZGRkZGRkZGRkZGRkZGRkbmhVT0ovxvv/3GpEmTKCwspG/fvsyZM4cNGzawdOlSACIjI2nRogVff/21zUvyKpUKV1dXIY6wh4ODA46OjmRnZ5dzZpSuAX+9OP3fcniVXD3NZnO5Mr+M8NHf31+4BiYmJuLg4MCSJUuYOnUqhYWFVK1alUePHhEaGsrTp08ZNGgQmzZtwmAw4ObmRps2bTh48KB4wdrV1ZUBAwawe/dumzawV56ZM2cSEhLC2LFjyc7OfmGZFQoF1apVEy+mvwz23PEk98OKztVoNISFhaFSqbhx40a5fgoJCREv8VvXLyoqikuXLgF/OS63bt2aK1eukJeXZ3MNLy8vWrVqRbVq1YSzYkxMDJGRkRQUFPDbb79x+fJlHB0dhRguICCA/Px8qlevzuuvv87ChQvLXVfitddew93dHT8/P2rVqkVaWhpTpkwR5U9JSRECbIVCgaurK1WrVhWunoMGDSI2NlYIVUePHs2YMWO4efMmarWamjVrsmLFCr799ttyztL20Ol0ODk52QgpdTodVatW5fbt2/j4+FBSUoJSqSQ8PJyzZ88K58z69evj5eWFk5MTjRs35ptvvuHhw4coFApmzJjBe++9B5S+5P/FF1+wc+dOxo4dy/vvv8/s2bPZuXMn9evX5/Lly3h6etqInatWrcqIESP49NNP7Y49e06BEmWd4AHatGnDhg0b+Prrr1m+fDldunQhPDyc7t27s2vXLjZv3izOldz1oFSs4urqajOmJCFbUlJSOQGDFJPq1q0rHEqh1I2+U6dO1K1bl6NHj7Jt2zYAli1bRvfu3YmLi+Ptt98mJCSEr776ijFjxog+Dw8Pp6CggKdPn4r4FBISwowZM5g8eTLp6enCyVPC09MTi8ViU25JIFVUVETdunX57rvvuHv3LidPnmTTpk2iPb29vUlLS6N69ercv38fgNq1a3P79m3q1atHmzZtWLlypbhu69atycrK4saNG8/tl7+D5MpaqVIlXnnlFTp37kxAQAADBw4kPz+f2bNn07NnT8xmM7///jtfffUV9+7dE99XKBRMmzaN/fv3l3OWVKlUuLm52XW0rSgGSdcsG3Next3XGicnJ3r16sXOnTufG1M7d+4sklYANGrUiLy8PO7evftS97FXVq1Wi06nE3EhLCxMOLmWPV9yG+7Vqxd5eXmkpqai1WqFs7VOp8PFxUW42q5bt46PPvoIvV5PXl4eFosFBwcHnJ2dycjIwNfXl+TkZJt7VK9enUePHlGpUqVyiQ4kIVpFcfRlWLNmDR06dMBisVBcXEx0dDRnzpwpt19QKpU0bNiQt99+mydPnrB27VpMJhPdu3cnOjqagoICzp07R1RUFOPGjcPHxwcHB4dyrvaSu3C7du1o2LAhGzdutElYIN3LOmZI49LagVav16PVam2+q1Qqad++PZcuXSI7O5vo6GgGDBjAkydP6NKlC506dSIuLo4vvviC0NDQv91WUr9s376defPmiXkg/d/NzY3hw4fTt29fevbsKZxL69evj5ubG6dOnaJ+/fq8++67LFmyhOzsbCEgPHDgAKmpqUyZMoX09HTatWvHp59+ysOHD/Hw8GDx4sVcuHABsB23SqWSOnXq0LhxY9555x0WLVrEsWPHbMbQ6NGjGTlypCiTJJCVcHFxISQkRAj8rL9r3ebWe8NmzZqhUqn4448/bK7l7u5Obm5uuT2dhEajoV27dri5ufH9998L4bXBYMDV1ZXc3FxatmzJw4cPbZxfpT3K1atXMZlMIpaHhYVRrVo1Dh8+LD6T2qdu3bqEhYXxyy+/2MR9qV4mk0mU0dqpXaPRYDQabcrv5eXFsGHDWLhwIUqlslxcUqvVYizPmzev3B5a4mX3zi+zn5SuI/1b2nNI34fnix1ftgwKhYKaNWvy5ptvcvLkSU6dOvW3r/XWW2/h6OjI9u3bX3iuUqnEwcGhXCIFqZ46na7cMevj9q5XpUoVZs+eTVBQEAsWLBBxSafTMW/ePH7++WdSUlK4deuWeP5Sq9VC5K1Wq8nNzaWwsBBnZ2deeeUVfvzxx3L38vb25u2332bfvn1kZWXZrHtOTk4YDAaMRqNIjBMaGsr9+/cJCwujpKSEjh078sknn1SYxAsgISGB5cuXc+3aNZ48eYJSqUStVqNWq9FqtWRnZ4tnKz8/Pxt3cgnrZ4tGjRrx5ptvcuLECZv11N/fn8jISI4cOUJoaCgrV64kODiY4uJi9Ho9OTk5Ii4rlUr0ej25ubnMmDGDEydOAKXrqcFgoF69erz55pv4+Phw9epVfv31V+Li4vD19SUlJQVvb290Oh2vvvoq58+fJzY2FicnJ+rUqUNBQQEnT57EYrHQp08fcnNzhdO1q6srLVq0YP78+WzcuJF9+/aJ9fazzz7j9u3b7Nu3z2ZN0Wq1tGzZkri4OJvnsbL7Q+t9i4ODAx4eHjYxqSwVuaGXHZdSAhuj0Sjml3S8UaNG9O3bl/Xr1wu37b+DRqPBYrGgVqvZuXMnCoWCBQsWcO7cORHLBw4ciLu7O9999x2FhYWsW7eOBg0aUFJSwrZt21i2bFmF169cuTJ16tThX//6l/itomzdmjRpwoULFzCbzTg6OhIaGsrt27fFM0FCQgJ9+/Zl3759tG7dmgEDBjB69GiaNGmCp6cnBw4coFKlSoSGhnL16lVWr17NwYMHxXxzdXUlPz9ftJ30G4Beryc/P1/ELU9PT8xmM5mZmajVapu50KxZMzZv3iz2PcnJyVSqVIkWLVqImOnq6krr1q0JDw/niy++oGbNmmRlZdkkW3lZ/Pz8xPfUajUNGzbk3Llz1K9fH4vFwrNnz2jbti0XL14kNjYWgKZNm3Lx4kU8PT0xGo1kZWU9Vwwu1dvPz49Vq1axYMECLl26hEKhYM2aNdSuXZt79+7RqlUrlEolX3zxBevXr0etVosEOVlZWZhMJvHs7ubmhrOzMyqVChcXF27fvk3v3r3JyMjg+PHjTJo0iSFDhgBUmGhKRkZGRkZGRkZGRkZGRkZGRkZGRkZGRuZ/j/wLvYyMjIyMjIyMjIyMjIyMjIyMjMxzkV6+hlKn4Zs3b/Ls2TPhFr1kyRJ0Oh179uxhzpw5bNmyBY1GQ9WqVZk9ezYlJSXlxBomk4nMzEzc3d2JiIiwe1/J3RWgT58++Pn5ERAQIMpiNpuFME6pVOLk5ERISIiNs+I/QRJt2CszlIpxrRkxYoSNW1xSUhLXr18nMTERlUpFcXExP/30kxCJPnr0SDgr6/V6YmNjhfAqJCSEn3/+2eYF65ycHFatWiUEC97e3tSoUQOz2cy7775Ls2bNgFJBgCTQkBwQzWbzc934LBbL3xKqA+WE6kCFIlFrt+9bt26RkZGBo6NjOffQZ8+eodfrbT4zmUw2IgxPT08aNGhAy5YtqVatmvhcEkD5+fkxePBgPvjgA1577TUGDhyIQqFg06ZNbN++HUdHR4KDgykqKhIuovHx8WRnZzNkyBD69OnDtm3byrkROzs78+WXX9KuXTtMJhNHjhzhwIEDXL9+XTgnp6am8v777wMQGBjInDlz2LhxI2vXrhWueIcOHaJJkybiumvXruXrr7+mT58+LFq0iJkzZ7J27VrUanU5h1JrN0xpXEhugdZIztRQKrIeNWoU3377LTNmzBDJITw9Pbl8+TKnTp3i7NmztGrVinfeeQeVSoWXlxetW7cG/nKL37hxI8HBwcIpvG/fvgQGBnL9+nVcXV2ZM2eOTXkfP37M1KlTxXzp0aOHcHYFhPBYq9USGRkphNgNGzbEw8OjnOOfJGRu2rQpVapUoUaNGowaNYrY2Fj27t1rI0SwnrNGo7GcqDkhIYGEhASb84KDg4V7ZnFxsY1Dd2RkJPfv32fRokX0799fCNVbtGhBjx49MBgMeHh4EBISwu3btykuLhaugkqlEqVSydOnT1GpVKIPY2Nj2bFjB7NmzaJ69erlBItFRUXMnTtXjCfpM+m8GzduMH/+fH7++Wf2799PQUEBnp6eAOTm5uLo6MiDBw/w9/fH19cXo9FIlSpVSExMZNWqVaIcUVFRvP/++2KO/R3htjVS+9evX59hw4axY8cOQkJChICmWbNmxMfHk5ubS4sWLejZsycWi4XZs2czatQo0b9SnLJYLCxdupS+ffsSGhpKfn6+jVNl2T6dNm0ab731FiUlJbRs2ZIOHTqUK6O1gFLq35etr6urK507d2bTpk106tRJ1NfJyUmIk3v37s2oUaMYOXIkly9ftvn+w4cPeffdd1/qXlJZy8bskpISmwQWMTExwh2z7DolrV2HDx/m5MmTtGjRgnXr1on4WlhYaCNatVgsBAYGkpubK9aO4uJiMjMzqVGjBkuXLsXLy8tmXj548IBq1aqRkZFRbr7m5eWRl5dXzoHWGus5BqVzu3r16uLvNWvWCHH62bNniY+PJzMzk48++kgINaG0Py9cuMD69et55ZVXaNKkCRaLhV9++YXffvuNS5cusX79eg4dOkRMTAwNGjTgwoULuLu70759e+FMmpmZiZOTEydOnODixYv07t2byMjIcu1qjVKpRKFQYDQacXd3R6FQ0LBhQ6Kjo+nWrZvN944dO4Zer2fWrFkiEYjkiNyhQwf27Nljs6b9HaSx0qRJE8LDw5k9ezatWrUSgvXs7GzWr1/Pd999Z9N2165d488//8TLy4uLFy+yaNEiTCYTVapUYfHixQwZMoSYmBiioqKYM2cOlStX5sSJE/Tp04cRI0Ywbtw4rl27BpQmL7Du78DAQG7evMnly5dZvnw5v/32mxD0Ss7HW7duZcuWLTx69IigoCAxJnx8fPD39yc3N5cbN26QnZ0txrh0D6PRKOZheHi42EPqdDreeeedcvOnSpUqREdHo1AoqF27Nq6urjbHHR0dOXPmDP7+/nzyySfAXy7mr7/+OvXr1+f06dPlRKEmk4lLly5hMplwcnISQtyYmBgOHz5sU2bJhf7GjRvk5eUJN21ArJ/WYvRGjRrx+eefi3MMBkO5uZ6WlkZqairdu3cX8zAkJET822g0MnjwYA4dOkRqaqq4T9n2edkkT9Yic3vOvFKf1KhRA4vFglartUkwYTKZXlqoLjmsS9eVxofkVm2xWDAYDKxZs+alherW+xRnZ2f27dtHTEwMPXr0qPA7Up1atWrFunXrxH5OQmq7li1b0r9/f7uO2LVq1QKwmSNms5mnT5/y0Ucf8eOPP/LZZ5/xyiuvAKUxesaMGfTt25edO3cyffp03nrrLcaNG8fatWvx8fEhIyODlJQUcb+8vDx+/PFHWrZsaRNLATIyMkhKSiIiIsJm/65QKMjPzxdzExAxymQyMWnSJA4ePCiE6vbGiclkwmw2U7lyZcaOHSv622w2YzAYKCgoICsrC5VKRUFBAV5eXnz44Ye0a9eu3BgyGo306dOHnj17cvHiRQ4dOsSkSZPw8fER5yQmJpKamir2rYGBgUKUvmvXLj755BPeeOMNevXqxaBBg9i5cydOTk58/vnndOrUCUAkeXnllVd45513aNOmDWPHjmXhwoW88sorJCcn4+fnR05ODnFxcTg4OLBu3ToOHDjAzp07mTdvHuvXr2fAgAEA7Nu3j99//x21Wk3t2rXJzc3lzJkzpKSkMHr0aKZMmYKvry9QGvcnTZrEoEGDsFgsqFQqqlatipubG0FBQaLvFApFOaG5Wq22abPi4mISExNt2qcsPj4+Ys5ISOJxaySBtMViKfdMHhcXx9KlS3nw4ME/cneXkiEYjUZmzpzJggUL8PDwoFatWhiNRiIjI9m/fz9fffWVSK4jramOjo4i0Y40F0NCQmjWrJlw4U5ISODhw4cMHTpUJLmRUCqVTJs2jW3btrFp0yZCQ0MZO3Ys8+fPp2nTpiQkJJCZmcnkyZN58uQJnp6efPzxxyJxzJMnT7h//z5ubm4UFRVx4cIFatasSWBgoEgGA6Vjt27dulStWhWLxYKrqytRUVHiGbxDhw507NiRkJAQvL29GTBgAKtXr2bLli3UrFkTgLNnz7J48WJUKhV6vZ6ioiLc3d359ddfRR/m5ORw8OBBVqxYAUDPnj1Zu3atmL/WSL8HVIT1PtDT05ORI0fStWtX7t27x9WrV0lNTSUuLo7U1FRq1qxJREQEN2/epFWrVqSkpBAaGoq3t7d45rGHyWSiZcuWJCcn88MPP/Dmm28CpeNt7dq1jB8/nmHDhrFx40YsFgvDhw8X88HJyYn09HTatGlD27ZtMRgMYk5IiS3q1asHwOnTpzl+/DgTJ06UheoyMjIyMjIyMjIyMjIyMjIyMjIyMjIy/x9B/pVeRkZGRkZGRkZGRkZGRkZGRkZGpkJMJpN4OX7r1q2MGDGCPn368P7777Nw4UJSU1Pp2LEjixcvxtHRkT179pCWlobRaGT48OHUqlVLCIOhvEimSpUqrFy5ks6dO9u9f05ODgqFgi1btpCUlERiYqJ4Eb1u3brCddJisZCXl0dsbCwJCQnlrvMyL9hL50gO5y1btgT+EuVILz0/fvzY5nt37tzhyy+/JC8vD4VCQc+ePRkyZAi1a9cWwpzz589Tu3Zttm3bRnBwsChvVlYWR44cwWKx4OTkJMRf9evXJzAwkMjISNzc3FAqleTk5ODl5cXGjRv59NNPgdLkAZIAzWAwcO7cOQYNGiRE4ZKY+mWw7qeXwVo08TxhIkBoaChKpZL4+HgKCwtp06YNDRs2FMcNBgPPnj0r9z2pLx0cHHj06BG5ublYLBZiYmLEOVK/3bp1i+3btxMfH4/FYmHYsGHs37+fJ0+ekJCQwB9//CGE8tbiehcXF9q0aUNhYSG1a9dm2rRpNmXw8fHh1q1bTJw4kZ07d3Lnzh0OHjwoXBahVCh07NgxkUSgbdu21KtXj7t37wqX3ZSUFBtXa5PJxPLlywkKCuLcuXMcOHCAoKAgatWqJQRFzZs3F0JqSZBiNpttRIfw19gsKCjg2bNnaDQaHj58SJ8+fahWrRohISGsWrUKFxcX0tPTcXV1pbCwkMTERDZs2CASJIwdO5agoCAsFgs3btzg4sWLuLu7M3/+fKKiooBSoUi7du0wGo0YDAb27NmDwWAQ40elUonx4O7ujl6vZ+XKlVSrVk2UMyIignnz5hEYGEjDhg2pUaMGly9fxs/PD19fX8LCwvD29gZKx/jmzZupVq0aEyZMEGKHLVu2kJeXZyM8tOcMrlQqywk5vL29ad++PfPnz+fDDz8UxwsKCvj999/RarUoFAo+/vhjNm7cyOjRoxk6dCjDhw/HwcFBCIjUajVOTk40bdqUkpISevbsye7du9HpdJjNZu7cuSP6WupThULB8ePHmTx5Ml26dBEiPIVCQdWqVcnPz2fs2LHcuHEDhUIh5pn1PN61axfbt28nLy+PWbNm0aRJEzQaDUVFRcIBVoqV9+7dIz09XTh7Go1G/P398fPzY+LEiSLhwcuKkMqe16xZM1q2bMmVK1d49OgRBQUFLF26FHd3dxo1aoSDg4MQ2//xxx/ExsbSv39/du3aRfXq1enSpYsYNxIlJSUsXLhQCIHsxbDAwEDWrFlDXl4e+/bto0WLFkyYMIH69etXWHbJ6dfT05PatWtTo0aNF9Y3JyeH2NhYvvnmGz7//HOMRiMqlYr8/HyqV69OSUkJb731FqNHj6Z58+blnMYzMzNZv359hTHSOhGFhEKhEMlPnkdZkZr13wUFBRQVFaHVapk8ebJYKx0dHW3EmVu3biUuLg5vb28sFgtBQUHo9XrMZjMBAQGkpqaKhDVSwgooFaxbLJYKxadlkzBYUza5yblz52jVqpUQ6t28eZNBgwbRrVs3PvzwQ65fv87UqVP55JNP6NOnj2gzk8mEVqulQYMG1KpVi6VLlxIeHi5cO/fv309cXBybN2+mUqVKbN26lZycHPr27cv8+fNZvHixjdjT1dWVf//73zx58oQJEybg7e2NWq1m2LBhjB49WjjQA2ItCgwMJCsrCzc3N06fPs2vv/5Knz596NatGz169BD9npeXR8OGDVGpVGzfvp0ffviBiIgIWrVqhYODwz8SAUooFArCw8PZu3cvvXr1YtiwYeUE69988w2pqan4+/uLPYjJZLJZn1JTU8U6u3nzZubPn8+JEydo3rw5ixcvpl+/fiKOxcfH4+vrS6tWrRg7diyjRo0S8f3p06cEBwdz9epVDh06JITZhYWFYk3Pzc1lyZIlIkZJY6KgoABXV1eb5DV+fn54enqKfRL8lTzAycmJKVOmULt2bY4fPy6caa25desW+/btw2w2CzGpdXs7ODig1+tZv3492dnZfPbZZygUCrKysrh06VK5pDBlky14eXkxatQoqlSpQv/+/Rk3bpwQUioUCho1aoSjo6MQ2R05ckTMG6VSaTcBUE5ODmFhYTaJXqTrWXP+/HnefvttevTogVarpbi4mLp16wqBt9ls5ujRozRu3Ji+ffsCf8VTqb+k/9sToJdFpVLx4YcfCjGnNSaTiSFDhjBjxgyqVatWYRKjstcri+SMLJXTbDZjNBpxdXUlJydHJIJ58OCBGAcODg5iz1AWFxcXFAoFwcHBQoibl5eHVqvl3Llz/PHHH3h4eBAaGlqufc1mM0FBQZw6dYqVK1dW6GB848YNevbsyfLly+nYsaPNMWn8SAlSXFxcCA4OFp+tXLmSnTt32gjW8/PzmThxIhcvXuS9997j888/Z9iwYcTHx/PGG2+I9k9JSbERF/v7+7NixQrc3d3FZyaTSQiqzWaziJ9S+0pi4ujoaIKDg9m0aROVK1cW7SkJ1e3FKJVKhVKp5NixYyxdupScnBwCAwNp0aKFTXIAo9FInTp1SE9P59ixY3Ts2JFJkybZrHMWi4Vbt27RpEkT+vbtS3R0NImJieTl5VGnTh3atm0LwOXLl9HpdHTq1EncY+nSpcyaNYurV69Ss2ZNgoKCiImJYdGiRURHR5OSksLMmTPF/sBsNrNhwwZ++ukn8XfDhg0ZPXo07du3Jzk5GW9vb1QqFT/++CPnzp3D398fT09PMV+aN28u5qfBYECj0TBz5kyaNm1KdnY2H330EQkJCXTr1o1BgwYBpevmvXv3UKvVIgY/fvyYtLQ0jhw5wvXr10VbSIJ/6zbMz8+3iT8KhaJcoi8JNzc34c5tjb14IyHtWyUndCgdY7m5uURGRopr2RMBt2nTht69e4u/nZycbM4zGo1cv36dc+fOcfjwYZydnenSpQvXr18nJCREPHM3b94cPz8/FAoFX375JX/88QcODg706NEDZ2dnYmNjqVSpEt9//z3NmzdHpVLx8OFDdu3aRadOnRg7dqxIdmE2m6lUqRIWi4WmTZuyc+dOBg0aRM2aNVm/fj2bN29m586ddOrUiXPnztGyZUtq166Nn58fr7/+OgqFgrt37zJixAgx1p4+fcovv/zC3bt3hVDb09OTq1ev0qlTJ1577TUePHhAXl6eOB4bG8vo0aP57rvv2L9/P59++ilt27YlMDCQ6Oho0UabN2/myy+/ZObMmfTq1YuLFy8SEBBAx44dbZ4VpPVjzZo1pKSk0KZNm3L9ISXeg9J5GhYWhrOzs6iHdA1PT0+GDh1K8+bNWbBgAStXrhTz8vz58+Tn52M2m3n//ffJz88nPj4ehUJBTEwMeXl5qFQqgoODqVSpkt2xKCWc2bVrFxaLhW+++YaWLVsSHx/PxYsXAfjqq6/47LPPcHZ2plOnTqSnp9OsWTOcnJw4fvw4Dg4Ooj4qlYonT55QuXJlkQgkOTmZqVOnMnToUDGOZaG6jIyMjIyMjIyMjIyMjIyMjIyMjIyMzP9dFJaXfVNRRkZGRkZGRkZGRkZGRkZGRkZG5v8prF/2XbJkCd988w0ODg5UqVKFnJwc0tLS6Ny5M59++im+vr4cPXqUcePGCZfwjh074uXlxffffy+Ea82bN+fSpUs2IpbIyEiio6MZPHiwEJtKrllQ6mxbUlIiXMaysrJo2LAh1atXZ/fu3ajVanHPSpUqCWc/SdgCf4lf7FGjRg3i4uLE/aSXu+vUqcOtW7fES/tGo5H69evj5OTE6dOn7V5rxIgRjB07FigV6w0YMECID0aMGEHnzp3Jzs4mLS2N3377jfPnzwuxmKenJ82aNePQoUNERUVx9epV5s6dy+7du7lx4wYWi4UBAwbQvn17IUg5fPgwFosFFxcXcnNzcXBwQK1W2xXt/idoNBr69evHtm3bbNrRy8urnJBLQqFQoNFoRF9HRERw+/Ztm2uWFU2o1WpcXV3LuScD1K5dm9u3b9vtx969e3Pjxg0eP37M66+/jqenJ+vWrSt3nouLCy1atCAnJ4czZ86Iz6dPn87777/PuXPnWLZsGTExMej1etLT01GpVJjNZmrWrEmVKlVISEjA1dUVLy8vTpw4QV5enriOk5MT+fn5hIeH89Zbb7F3717u3btHWFgY1atXx8vLiz179mA2m0W7uLm5CRFKWdq3b4+Pjw979uwRbWot0nvllVeIiIggLCyM33//nR07dgjxkNFopHv37ixbtgz4y91+/PjxPHv2zKYdHR0dmThxIu+//z4Wi4UdO3Ywb948QkNDcXd359tvv8VsNovkFX/++SdDhgxBq9WKevj5+eHs7MyDBw/EdR0cHLBYLGzZsoXp06eTlZWF2WwmOzubrl27cvfuXQoKCoiOjmbDhg3cunWLZs2aMWbMGJYuXcr169cxGo14e3uzZMkSmjZtikKhID4+nq5du5YTy0rztEqVKrRt25Zz587x8OFDoFRgaDAYbNpQrVZjMpmEEEtqEwcHB9zd3Tl48KCN4GbTpk18/fXXZGdn07p1a6ZPn05ISAgGg4FRo0Zx8uRJ3N3dUalUpKWlodVqqVWrFgkJCTYuhtKYku6rVqsxGAy4uLiQl5cnyuHt7c3rr7/Opk2bRJlDQkIYOHAgrq6uVKlSBbPZzEcffYSXlxdt2rRh27ZtqFQqdDqdiC3WODg4PFdI/DzsxdHBgwfTtm1bNm3axL///W8aN27M8uXLUalUQrBpNBqZM2cOe/bsEXV1dnbmiy++ICQkhMGDB5ORkSEE1daOot7e3rRr144jR45QXFxMSUkJFouFRo0a0axZM1avXk2LFi2YOHEiYWFhPHjwgPXr13Pw4MEK6/HDDz9QrVo19u3bx9y5c/H29iY5Ofml2kCr1QpXX61WS0BAAO+99x4HDhwgLS3N5jru7u4EBgZy48YN8ZlKpXopd2HJWbOso3dwcDBxcXFERUXRsmVLYmNjOXLkSIUCtLJ9NnjwYDp27Mh7770nPler1Xz11VccOnSIQ4cOCdGrxWKhcuXKJCQkoFAohOv1nTt3xBiqUqWK3UQjElJMLIvUx+7u7uTk5GA2m+nfvz87duywaavmzZvTt29fOnXqxFdffcXXX3+Nu7s7RqOR3NxcoDSGzp8/nw4dOpCfn8/ChQv58ccf7bZJUFAQO3bswMPDA7VazYEDB1i/fj2xsbHiWjk5OXTo0IHExETu37/P/v37+f7777lx4wZ9+/Zlzpw5Iu5L9XN0dMTR0ZHs7GzatWvHwIED8fX15Y033sDT05OEhAQCAwOpW7cuJ0+exNHRkW3bttkV/f5TrOPYuXPn2LBhA6dPn7aJ07Vq1WL16tUsX76cgwcPEhYWRmhoKGq1mkOHDuHi4kLv3r159OgRf/zxB76+vnz88ce0b98evV5PYmIiP/zwA3v27CEpKQmLxULPnj2ZOnUqCxcu5ODBgzbjqqSkRIwhsN2jlUWpVFKjRg3u3bsHlCakePr0KVCa8CYpKYmCgoJyMUgSmzs5OREfH19h+6jVaiIjI7l3757Nug2lIt+0tDSmTp1Kv379OH36NBs3buTKlSui7XQ6HYWFhYSFhfHw4UObefzZZ5/RunVrgoKCuHjxIhMmTMBkMrFixQoiIiK4fv06H330EXl5eWKdcnZ2pri4WLhTl6VRo0ZoNBrOnDlDaGioWMs8PDzIz8+nuLgYhUJB7969ef3119m7dy8HDx4kPDwcnU7H1atXcXFxISsri+joaB48eMC///1vCgsLsVgs5Obmin2YNB+ft1eOiori2rVraLVaNBqNcOUu24dbtmyhpKSEcePGiTkqtb+0V39ZPDw8yM7OthszpbXM2dmZ9evX06BBA4YMGcIff/xhc55er8fBwYGsrCwaNWqE0WjkypUrdsskJTOR9jGurq6MGDGCgwcPcvv2bXx9fUlNTbXbX23atGHixIlUr16db7/9lnnz5tkcl5JKLFmyhICAAA4ePMiMGTNEG3744Ye8++67zJkzh2PHjon7f/HFF7Ro0YJdu3YxZ84cXF1diYyM5MqVK+XGcZMmTWjYsCFff/21zV6nLC1btiQvL49r167h5+dH586dqVOnDt988w0xMTF8/vnnvPXWWxX2i7V4/eeff2bSpEkolUoUCgXTpk2jc+fOLFu2jF9++QWFQiFisfU4fuWVV2jbti1LliyxGScREREsWLCAp0+fsnHjRm7dusXXX3/Nv/71L3bv3i2u0bNnT+bPn8/333/PjBkzaNOmDePGjRMC1qtXrzJs2DByc3Pp0qULQ4YM4ebNm8yePVvcy9HRkenTp9OnTx9Rn19//ZVx48ahUqnw8/MjISGByMhIPvzwQ1q3bo1KpWLevHns3buXgQMHsnfvXpGkZs2aNYSHhxMdHc358+epVasWq1atonLlynTo0IGEhAQ6duzIyZMniYqKIiIiQiRkk8aBi4sLr776Kp6enoSFhbF27VqbBF1gu0cqS9k5/DJ7jjp16nDz5k0UCgV+fn4kJSUxdepUrly5wp9//imepV1cXOjRowd79+4tN5cbNWrEpUuXsFgs+Pn54ePjI55dJby8vGjZsiV16tRBrVazdOlSIiMjmTJlComJiYwZM4aGDRvyyiuvkJGRwebNmykqKqJhw4bExcWRlpYmrlelShUyMzMpKCiweZ6UnocVCgWvvfYaS5YsEUmGpD6W9t9Ssow7d+7wxhtvEBUVxebNm9Hr9WzcuJElS5bQt29fqlWrxqJFi/Dx8SE5ORmtVouDg4P4e/PmzeL3kYyMDFasWCHWV71ez9WrV2nUqBErVqzAw8MDi8Uinit+++03Ro0aVe43i5YtWzJt2jSysrKYMGECTk5OYu6UHQtVqlQRayWUPl8rlUqKi4txcHCgZcuWXL9+HU9PT8xms0hAMHfuXJo1ayaeJaTrHThwgOXLl4skV2XHkb11QqvV0rRpU8xms00Mtv4twNPTk5kzZ9K8eXMeP37Md999x6+//ir2k82aNWPYsGGMHTuWOnXq0KlTJ7744gshiler1YSFhWE2m1myZAlarZZPPvmE3r17895774m+lYXqMjIyMjIyMjIyMjIyMjIyMjIyMjIyMv/3kX+tl5GRkZGRkZGRkZGRkZGRkZGRkbGL9LLvhg0bhBOW5Ag6b948KleuzO+//86cOXNISUmhc+fOvPvuu+L7x48fZ+/eveIlZJVKxblz58q5LV67do23336b/Px84QZoMBjES+S5ubkUFRURHBwsxJfx8fH8+eefADYvzFu7NObk5AgnsorENxqNhsePHxMcHFzuxf+bN29Sp04dcQ+FQsGVK1dQKpXCZdqaNm3aMH78eCFkvHnzphA7Q6nQtU+fPsyYMYPLly+zYMEC5s2bJxxr9+/fzyeffIJWq+XKlStoNBp+/fVXm5f9Hz9+zODBg5k2bZoQinl4ePD5558THBxMcXFxOWFgWedeayfDl3mh28HBAYPBwL59+3B2drZxr0xLSyvn7gulggQHBwdKSkoIDg6md+/eDB8+3OYcg8FA7dq1RR9JL9dnZmZSvXr1cu6lUuIA67JL7tfz5s3j448/JjAwkH379vHrr7/i6+vL66+/btMOubm5HDlyhJiYGAICAsSxxYsXM2bMGMaNG8f169cZP348ffr0Af5yn7tz5w7Hjh3j4cOHnD17ll9++cVGKCS5bAPcu3ePuXPn8uzZMxwdHWnatCnLly+nTZs2GI1GSkpKqFOnjnC9LdtnUr8cP36czMxMevfuLZwWpf7Mz88nLCyMDz74gJYtWzJjxgzWrVtHt27dhCj74MGDTJ8+XZQvMjKSb7/9loEDB6LRaFAoFDRu3JgNGzYIobrRaKRq1apERUXx8OFDLl26xJ9//incTC0WCzVq1ECn06FUKoWTXlJSEo8fPxbOi9YChaKiIkJDQ8nMzGTYsGHodDp+/fVXPD09SUlJoaCggNdeew0XFxcuXLjAyJEjycnJoVu3buj1elJTU5k8eTInT54UIgmtVkvVqlWFc7FarcbLy0uMy9TUVObPn09YWBiAEDmXneeSoNrb25tGjRqhUCgoLi5Go9GQl5cnREHLly9n8eLFos9PnTrF2LFjuXnzJhqNhilTptC0aVMyMzNJS0tDp9NRUlJCXl6eTYzS6/WYTCYaNGhAZGSkiBfwl1uzNB9yc3M5fPiwzVyIjY3l4MGD+Pv7c+/ePRYuXEhWVhYffPABH374IR9++CElJSUMGjSIBQsW0LFjRzFmpLq5uLjg7u4uhDsv6+psL46eOXMGtVrNBx98QP369enYsSM6nU6MA4PBgFqtZs6cOUIoA9C9e3fatm2Ls7MzLVu2pLCw0MY1WSpzVlYW1apVIz8/n7Zt24r+vHjxIqtWrRLOztWrVxdCFk9PT6A0wYU9p/Vvv/0WtVotnGaXLFlC//79yzmQQmkShho1ahAREUFUVBReXl6iv0pKSlCr1Zw8eZL79++j0WjEf1LZyyYGsHabtSY4ONjGlbKgoACz2cyoUaOIjo5Gp9MB8OTJE/R6PXXq1GHLli0cPHgQg8Fg890qVarQsGFD9Hp9uZipUqkYNWqUjVjKaDSSlZUl5k9RUZH4nr+/P/7+/lgsFpKTk0lLS6NmzZrims+ePRNlK0tgYCBFRUU4ODiIzxwdHdHpdGIczJw5k4ULF6JUKvn222/p37+/KJfJZCIxMZGAgACSk5P54YcfaNasGdu3b2fr1q1i3GZnZzN58mT+/e9/4+LiIhJIODk5CVdliVq1auHj4yMSevTu3Zv169cL117JBfTYsWPcvn0bg8FA//79OXLkCJcuXeLo0aMsWrRItHd+fj4KhQJHR0eysrIIDw/nxIkTbN++nYMHD6JSqRgwYABQ6sh6+PBhIiIi/utCdfhLQKZQKGjatCnDhg2jZcuWlJSUiD54/Pgxd+/eZcqUKXTv3p379++TmJjIK6+8QkhICJmZmWzcuJE//vgDo9HIkydPiI6O5osvvuDSpUs4OTnxwQcf0LlzZzFGSkpKKCkpYcKECYwaNUokKSkpKaFSpUo2CRwkobo0DwICAnB0dESj0TBt2jTmzp0r+svR0VH8++HDh3bF0VAalzIzM4mPjxfrgT2MRiOXLl0Scd16XCQmJlK7dm369euHUqnk9u3bPHjwQOxXQ0JCmDZtGk2aNCEmJqbcvmrOnDkcPHiQn376idmzZ5OUlMS4ceNo2LAheXl5eHl5MWvWLPR6PUajEbVaTV5enlir7cXgixcvcvbsWbRaLbNnz2bdunW8+uqr4ntubm6Ehoayf/9+fvrpJ9566y26devG3bt3KS4upn79+mLPvGjRIvbs2UNycjK5ublCHOzr6yuSp0htKaHRaGziysOHDwkMDKS4uJi8vDz8/f3LldlsNjNo0CDi4+MJDAws1/5Q3tG9InQ6HRkZGZhMpnL7Qfhrb5uXl8fKlSsxGo00aNCg3LkFBQVUrVoVLy8vLl68iFarJTw8HB8fH9EXUnnCw8NJTU0V4zMnJ4eDBw+KpDLPS2py8uRJ5s+fz+nTp3nvvff44IMPbI5bLBYGDRpEWFgYOp2OPn36sGzZMtH3X3/9tXBY79y5s7j/sGHDSElJES7eOTk5nD592u5acv78ebZs2UKbNm1s4pqEUqnktddeY/ny5axevZru3buTnp7O9u3bmTJlCo8fPyY6OloI1a3Hw40bN7h69Spgu2do0qQJtWrVwmQyYTKZSEpKwsfHhwkTJuDj44PBYBDPCZLYVq/Xc/bsWU6ePMnYsWPp0aOHGA+3b9/mjTfeYMyYMVy/fp1Jkyah1+s5duwYQUFBjBgxgoYNGzJ06FBKSkr417/+hU6nY9SoUUKoDqXzJzc3l8qVK3PkyBF+//13EVOk55iioiLS09NtxLevvvoqkZGRYv0JDAzk2rVrrFu3jlOnTnHq1CmRwOnrr7+2GW/R0dFkZGSwcOFCGjVqxO3btxk5ciQJCQninjk5OTg7O/Ppp58ybdo0Ro8ezfjx48U1oqKi+Pzzzxk7diyvvPKKKJe0zkpJCHr16kVISIhN/0ou4hLWLtzS/sperLl79y61atXCYrGQmJhIjx49+OCDD/j888/p0KEDAK1btyY6OpoPP/yQ4cOHl4uBFy9eFMndkpOTuXHjBh4eHuJ+Dg4O5OTk4OnpSd++fUlNTaWgoICBAweKfUbr1q25cOEC8+bNY+3atRQVFQFw+fJlnJ2d6dGjh3h2e/bsGb6+vmJPJj3b5ubmirY6cuQId+7cQalUiiQdUpIr6dl8165dfPXVVzg7O5OUlMTdu3e5dOkSO3bsoHbt2rz11lscOXIEhUIh5n9JSQm5ubk8evSIWrVqERMTw4YNG+jVqxczZ86kW7dudOvWjZiYGIqLi4mKiuLixYuMGTOGCxcuiLh8/vx5Nm7cKJI8SPHWYrFQXFzMlStXmDVrFklJSTx8+JB69eqJc6T6+vr62gjVoXTfLSUhKS4u5sSJE6Snp/Puu++yf/9+evfujdlsFgJ7aVwolUrmzp3LwYMHadGiBa6uruKa1gkPlEolzs7ONuutTqfj9OnTNG/enGHDhonPrffM6enprFixgjNnzhAZGcmiRYtYt24dnTp1AuDs2bNMmTIFjUbD2bNn0Wg0TJ06FScnJ0wmE2q1msWLF7NlyxZCQ0MJDAxk69atslBdRkZGRkZGRkZGRkZGRkZGRkZGRkZG5v+DyL/Yy8jIyMjIyMjIyMjIyMjIyMjIyFTItWvX+O6776hVqxaTJk2iXr16aLVafH19xTnHjh3j888/JykpiZEjR/Laa6+hVCrLuUWaTCYhHLMWr+l0OvHSdVZWljgmvRhtsVjQ6XQ8efIEpVJJQEAAZrO53MvZQDmX77LC+LIYDAZMJpNwrTObzXTp0kW81G/tiCsJANLT0xk6dCjNmze3udalS5fYs2cPx48f58cff2TevHkkJCSINjAYDLi7u1NSUsLu3buFI71Op+PmzZusXr2a3bt3i3uXlJRw+vRpLBYLLVq0AEqFHhaLhStXrnDlyhXhFh0eHs6yZcvsvqQtCYSkl/etBdYVOfNZI4ktCwsLycvLo3LlyjbHrZ3XJAoKCoSLXVxcHAcOHGDnzp2ArXj+wYMHGAwGqlevLhIUWCwW9Ho9U6dOFS+wWyMJQ8xmM/369WPo0KGYzWbat2/PyJEjGTNmDAkJCbRr187mXtYv2qenpxMfHy9EFCUlJRw9ehSlUsnMmTOpU6cOJ06cEN+3WCw4ODgwceJE3n77beAv4YdWq0WhUGA0GoWDnXUfFhUV4eLiwoEDB/jyyy8xGo3o9Xpu3rxJcHCwTd0kka3ZbMbb2xtvb2+OHj2KwWAQ4iGFQiHm39KlS1myZIn4frt27fj000957bXXhEvqvn37GD58OCdOnCA2NpYrV65w+fJljEYj06ZNY9u2bTRp0kSIOFQqFa1atWLMmDFCpLJs2TJu376NSqVCpVKxdetWCgsLKSoqEmISgObNm7Nz507eeustLBYLeXl5KBQKPD098fDwQKfT0apVK5YtW8acOXMIDQ1FqVQye/ZsFixYQE5ODkajkezsbB48eEBmZibjxo3DwcGBlJQUJk2axPLly4mPj0epVPLgwQNxf6PRSFJSkmj33377jW3bttG6dWubNnZycqJDhw5069ZNJEcAGDt2LE2bNhV9npKSwoYNG8jIyOD06dNs2bKFpk2b8vXXX/Pqq6+iVCq5c+cOH3/8MT/99BM6nY7XXntNxLLCwkKgdM7m5eXRvXt3HB0dhXv4pUuXcHFxqVBcabFYaN26NV5eXjZtDKWioAEDBrBs2TJycnKYPn06b731Fm5ubvTv3589e/bw4Ycf8uabb7J69Wp27twpBMdQKubJysoSf5cVgCoUCtq3b0/Hjh3tlk2iRo0a3L17l/nz56NSqfjiiy8ICwujZ8+enD17FvhLlDphwgQbV8z9+/ezYsUKbty4Qe/evWnWrBn5+fl4enri6ekpBIoGg4FFixZhMpkICwsjMzPTZv0oLCzEy8tLxIUNGzawa9cuADp37sxXX31lI7gB2Lt3L2+//bZwYd65cyf9+/fntddeK9cORqORrVu38v3337N7926mTp0q+lihUHD//n2cnJxYvXo1y5YtIyAgwMbROyYmxkYc5u/vL0Th1jx9+hQ/P79yn69fv57WrVvz6quvis/y8/PZvn07VatWZcGCBUyfPp1BgwYJQWBCQgJ6vZ7w8HCba5nNZjZs2CDG/ODBg4VA/9NPP2Xr1q34+voSEBAgynzp0iWbhCTx8fFcu3YNd3d3GjZsKPrAHmazme7du5cTz1mfn5ubK9xYAXbs2EHPnj3FWvbw4UOmTZvGoUOHSE1NZciQIVSvXh1fX1/8/f3p1asXKpWKgoICoqOjOX78OBcvXqRu3bps376dtWvXAn/F62PHjjFjxgxycnKEG2twcDAjRowoJ/50cXEBSsWFycnJVK5cmWPHjrFnzx6++OILG2GZk5MTy5cvZ+rUqbRo0YLff/+d7du3o9fradmyJe+//z4ALVq0YMWKFf91obp1+1oL1ocPH06rVq1EYoWioiJWrFjBzZs3mTJlCt26dePq1ats2rSJ7OxsqlSpQu/evWnTpo2YU8XFxezYsYP+/fvToUMHVq5cSWhoqBDwnjx5km+//RaLxcK7777LqFGjhBAwMzOT5s2bo9VqRWzVaDSEhYUJZ93KlSsTGBjIm2++yfbt28U6JCXVsIeTk5O4R0lJCQqFgpCQkHKxUsLZ2VncPygoiFatWokxJ4kfr169yooVK/jyyy/58ssvAcRcffLkCatWraJXr154eXlRXFwsnM8lvvzySyZNmsSTJ0+YPn06vXv3ZuvWrQwfPpwePXowc+ZMHBwc0Gg0IgESYONWWxZJ9L9r1y7CwsKIiorCyclJ7FUlJ+l9+/bxyy+/0LdvX7p3786dO3ds9sjW+x+p3h4eHiQlJYljZfePBoNB7OWgdK7GxcWJuZSUlGSTIEpyXDeZTMyaNYs7d+6IY15eXuL6w4YNs5sgSuofaU0sLCxErVYTHBzM3r17RdIHCSnJj6OjI2fPnmX8+PGsWrUKs9lsUy4oTTY0YsQIvLy8OH/+PF5eXsycOZPg4GCxRzabzZw9exaTyUS9evVsxNO3bt2yOa8izp49y4gRI3jnnXfYvXu3zTE3NzfCw8MxGAyi/7t3725XsB4dHU3z5s2pVasWY8eOxd/fn+zsbHEtDw8PIV63RqFQUFRURNeuXWndujWrV6+mX79+4rjZbObw4cNs3rwZFxcXPvzwQ6ZMmUJUVBRDhgxh5cqVop2lPSTA/fv3eeutt5g8eTLXrl0T1zOZTPj6+orEBGq1mtOnT3P9+nX2799PQkICdevWJS0tTcRTqW8LCgo4duwY58+f5/PPP2fRokXinEqVKtGmTRtmz56Nm5sbn3/+OampqQwbNowePXrwzTffEBYWRm5uLrdu3SIqKorIyEhRplWrVrF06VIiIiJITk6mRo0a/PDDD+Tl5VG/fn1KSkqoVasW77//Ph9++CGATTIj6bmkXr16PHv2jNq1a3Pt2jWWLFnC4sWLxfNtUFCQzXqWlZXF5MmTSU1NZeHChTRu3JiYmBgGDx7MrVu3gNJ51KlTJ2rWrCkEw2FhYcI5+vTp00yZMgWAWbNmcf/+fRQKBc2aNUOtVov4/sMPPxAbG2szb11dXW32R1JSGr1eL+ZL06ZNiYyMRK1WU6tWLVQqFUajkbt37+Ll5YVCoeDQoUP88MMPODs7ExwcjEql4tSpU0ybNo127dqxdu1ajEajeGaxpnPnzuzdu5fdu3eLZwGpTc1mM35+fjg4OJCUlIRSqUSn07F69WoOHjwo4geUirCluiiVSnx8fLhw4QLPnj3Dzc2N2bNns2jRIsaOHSv2TrNnz2bGjBlUrlwZZ2dniouLuX//PmfPnmXIkCHcuXMHhUJBZmam6KNZs2Zx/PhxSkpKSE5OZsiQIezdu5fExERGjhxJvXr1MJvNmM1mdDodOp2OqKgotFotFouF+Ph4pk+fzi+//EJSUhKxsbHo9XrGjBlDz549uXPnDqmpqbRq1YrLly8zadIk3nvvPUaMGMHQoUO5ceMGU6dOpX79+sKxHeDChQtMnz6d+/fv4+LiQmhoKDNmzGD37t24urqSl5eHRqMhMTFRtL0Um6X5a+2WPnnyZN59910cHBx4/Pgxvr6+IvHemTNnSElJoaSkhHPnznHr1i169uyJQqEQsdQ6KZHJZCIvL89mvZUS0H399de0bNmSSZMmAYh9m0KhoFGjRjx+/Jj169fzyy+/AKXPjQsWLGDkyJGoVCrS09OFmP/w4cM0bdpU7Jfy8/NJSUmx2dNLMcM6AZOMjIyMjIyMjIyMjIyMjIyMjIyMjIyMzP99FJaKLIVkZGRkZGRkZGRkZGRkZGRkZGRk/p/nxx9/FG6Xb775pvh82rRpHDt2TAjcbt++Tfv27Zk5cyY//fQTX3zxRYVu5pJTMZQKEiThnIRCocDFxUWIybRaLfn5+Tg4ODB69Gg++OADzpw5w6RJk2zEGy8iMDCQp0+fotVqKxSxe3h4sGfPHo4dO8aiRYswm804Ojry9ttvs3XrVlG+Dh060L9/f9atW8f58+dtxCuSuEOv16PRaMjKyiIkJISnT5/So0cPunfvzuzZs0lJSaFNmzY0a9aM5cuXC9c3lUqFk5MTOTk5AERERNChQwcOHDhAVlaWcOZ2c3MjJydHOF2PGjWKSZMm2QglXV1dyc/PF07FHh4edp0hJdGeTqerUHgoibKqVq2KSqWyESJBqau9tSCqSpUqtG/fHpVKxdGjR4UTvFarxd/fn7i4ODFGRowYwdGjR3n8+LFNO7Zs2ZLY2FghKpXuExAQwJMnT3B1dWX58uU0a9aMrVu3curUKdzc3Dhy5Ajh4eHcu3ePKlWqiO+/++671KpVi71799okIpDuJwn0rl69SlpaGq+99ho//fST3fZQq9V4e3uTmJiIm5sbBQUFODk5CWfesteWRPjjx4+nRo0ajB49WribhoSE8OTJE7y9vcnPzyc/P58qVarQr18/Vq9eTUFBAdOmTSM2NpZdu3aJl/KlcdekSRNmzpxJSEgIarWazMxM5s+fz08//YRarbbpF0AI7999912RIODw4cNcunSJ69evExoaSrNmzXBxcWHVqlXcvn2b4OBgunbtipeXF/PnzxcinrS0NFq1asXVq1fJz8+nb9++TJ8+nQ8//JA//vgDKHW4fvr0KSaTiXnz5vHqq69y4cIFPvjgAyEAU6vVGI1GdDodRqNRjMe5c+dSVFTEkiVLhIDhebz66qsEBgZy7NgxHj16hKOjo3Cwl/pCup80VxQKBV5eXqSlpQnBneTovn37dmJiYvjqq6/Ytm0b4eHhQgy1fv16G7dYa/F3ixYtcHJy4uzZs+Tm5pabH2Vxd3e3W7/27duTlpbGjRs3aNu2Lampqdy+fRuA1157jUmTJuHr64vRaESpVNqINST3SIvFwpEjR/jkk08AnhsDJVq0aEFwcLBIMlGWDz/8kH79+jFv3jyOHj1KQEAA3377LQsXLuTXX3/l7bffZubMmWKcxsTEMHbsWJs5LhEcHEynTp149OgR//73vytsJzc3N7Kzs4mOjmbz5s1CpOPq6kpYWBhPnz61iW9jxoxh9OjRHD58mLFjx1a4JoFt/AoJCSEhIUG0UZs2bdDr9Zw/f57s7GxMJhNubm6MGTOGtWvXkpGRIVwppfFQEUFBQTx9+tRuWazdXa3RaDQsWLCA6Ohom36rU6cOVatWxcnJiaNHj5KRkUGHDh04d+6cEKZJODg4CHdRKB2vkZGR6PV6MU+lGHjq1CkqVapEenq6zTV8fHzsJieB0vU1MTGxXP3fe+89njx5wh9//IHFYqFevXoAXL9+XdwToH79+ly9elXEtLlz5/LZZ5+Jv6VkF/v27cPDw4Nff/2VSZMmsWHDBipVqsR3333Hnj17hHP1+PHj+eCDD7BYLJw5c4a0tDQ2b97M7du3UavV9O7dmwkTJuDm5obBYOBf//oX48aNKzdPe/fuzZEjR4Qbt7SedOjQgbCwML7++mvRZ8HBwURERJCXl8eZM2cwGo3Ur1+fXbt28eTJE7p06ULfvn2ZM2eO3Tb8byIJGi0WC3/++SefffaZWAeVSiUNGzZk8ODB1K1bl0WLFnH48GHhTL1582YcHBz45ZdfWLlyJbGxsUDpHGnQoIFwpy4pKcHT0xNHR0fS09MZMGCAEMNNmzaNEydOoFKp6NWrF48ePeLy5cuizzUaDS4uLvz4448MHz6crKwsPD09uXHjBgEBAVgsFpu5XHZczZ07F5PJxOeff25zzNHRsZxg3dfXl1GjRlG/fn1mzpzJlStXRD9qNBrUajWurq7ifm5ubtSuXZvo6GiOHj3KV199RZMmTbhw4QJOTk6UlJTQpk0bxo0bx7Nnzzhx4gR79+4V60mVKlXYuHEjP/74I+vWrcPNzY2IiAjMZjPnzp2zmePSviwrK+uFMVmaK1qtljfffJNZs2YB8Ntvv7F27Vpu3rxJt27dGDlyJCtXruTo0aNibweloj5pz+Hs7ExeXp5ICKJQKHB0dGTYsGFs2LBBJFUp+72yREREcPv2bTHWKlpbQkNDhat2rVq1cHFx4fz58xXW1dvbm+zsbEpKShgxYgTjxo0DYMGCBWIvLuHh4UGrVq24dOkS1apVY/jw4Xh4eDB48GCbMRQREUG/fv1YsWIFaWlp1KhRg/v374sxoFQqycvLIzw8nPHjx/P9999z+PBh8X3rPdc/5aOPPuKTTz6xEZECHDx4kAkTJoixMWzYMD766CMcHR2FO/KRI0eYPHmyOMfFxQUXFxcSEhLK3efTTz/lvffew2AwoNFomDt3Lt999504Xr16db766ishArV2mIfyDsVPnjxh7ty5nDp1ilq1ajFz5kwhdAVYs2YNK1asoEGDBly5coUGDRpw69YtWrVqxeDBg5kzZw537961KWOlSpVwdXUlLi6Orl27smDBAm7dusXq1au5cOGCzbzW6XSMHz9eJP2Q4tvTp0/p06cP1apVE3uVVatWsWrVKiIiImjUqBE7d+5k5MiRfPXVV8I1fdmyZVSuXJno6GgaNmyITqcTotwLFy4wYsQIPv74Y6pUqcLYsWPx9PTE19dXrFtKpZLo6Gg6derEpUuXmD17ts3zqEaj4eOPP0atVrNz507i4uLEMSmOrl69WiQc+Oabb1iyZAnDhg1j+/btFBUVERYWxr1792z2BWXXJ3vP0GXHaYMGDejRo4dYd6pWrUpCQgJGo5G+ffuKBF8KhYJKlSoxf/58fvvtN5RKJYsXL+bu3bts3Lix3BiD0r2S2Wy2qZ9Op+PNN9+kRo0afP311yQlJVGtWjWSkpJ4//33hYv81q1bWbBgAf7+/mIMKxQKAgICGD16NF27dmXs2LEcP35cHPPz86Nbt264ublx9+5dTp48SX5+Pm5ubphMJn799VfxXHb48GG8vLzo2LEjY8aM4fTp0zRq1IjIyEj+/PNPEhISyMrKom7duowcORIPDw++/fZbIaLW6XScOHECvV7Pxx9/zPHjx7FYLDg6OopEd3q9noKCAvz9/3/s/XdQVOm+h48+3U1ocs4gKpLEQFARA+Y85hlzGnPOOWAcFXPOoiPGGXNCUTHngGICTKACkiRLarp/f1D9btgzs885de/91Tl111O1a/Zod6+13vWmNbWe78eBkJAQfHx8SE1NxdPTE319fRISEggNDaVhw4a0bduW3377jTt37lBUVETLli3x8/PDw8ND9Ks2bdqgr6/P9u3bOXPmDFAuoBcUFGBvb0/btm0ZPXq0KM7z/PlzSkpKUCgU1K5dm5YtW/Lu3TuioqLEHrBz58788ssvBAYGolarCQ8PJzQ0lGbNmrFq1Sr27NnDzp07CQwMpH379ujr6zNv3jw6dOhAUFAQ8+fPB8oLjkybNo2NGzeSmZlZ6b81aPtmUFAQd+/epUePHkyfPp3w8HB0dHQYM2YMjx494sOHD4SHh5OQkICvry9Dhgyhffv2QHkRh9OnTxMaGopGo8HV1ZWkpCS2bdvGtm3bSEpKokePHkycOPFv+6KEhISEhISEhISEhISEhISEhISEhISExP8udP7rj0hISEhISEhISEhISEhISEhISEj8/ytxcXGo1WqRIArlSa+nTp1i6tSptGvXDo1Gw/Lly7l9+zbjxo0jJSWFqlWr0rp1a3bv3l3p92QyWaWX6LOzs4WkqsXY2Ji8vDycnJxISkoS8mhxcTExMTEcP34cfX39SkKSVvSsUqWKeGleqVRSXFwsXvJPTU39W5FJm1Cm0WjIzc0lJCSEESNGYGBgQEFBAUVFRRw8eJDly5czd+5cNBoN165do7CwkKFDhwLlcoNWIDA3N8fAwIBv375RUFCAnZ0ds2bNYvz48SQlJVVKqY2KikKhULBx40ZOnz7N48ePyczMJDc3FyMjI4KCgrh27Rpv377FwMCgkkDUqVMnfHx8mDdvHu/evWPy5Ml/uX8mJia4u7vz/PlzSktL0Wg0ODo6/kVu0bZ/YWGhEEK1aCX/0tJS7O3tef/+PTVq1AAqixJlZWVCgNLR0eHXX38VYolMJuOPP/7gx48flJSUkJWVRf369Xny5AlqtZo9e/aIwgBFRUWYmZmhp6fH3bt3sbGxAf4l1JeVlfH9+3datGjBjRs3RErd5s2bxTkrFAo+fPiAlZUVa9asYdasWSQnJ3P79m1GjBhB8+bNGTNmjEg6hHL55dGjR9jZ2dGxY0d8fX1RKpWcPXsWIyMjdHR0KrWL9jxGjBhBZGQkOTk59O/fn7y8PB4/fixSC//44w/q1q1Lt27d8PLyIikpicjISGxtbYUAppUB09LSkMlkou+vXr0aNzc3Pn78yIsXLwgNDeXZs2fExcVhYWGBrq6uON7cuXOZM2cOPj4+WFhYMHfuXADOnj2LtbU13t7e6Orq4uvri5+fH/Xr1xfjcePGjezcuVO088uXL/n+/Ts1atQQcnFiYiIHDhzA2toaW1tbFi1aRHJyMnPnzuXu3bsEBATw6tUr/vjjD6Kjoyv11YrtnJCQQEREBCtXrkSlUqGnp8eyZcvw9/fn8OHDnD59mpKSEiHWLl26lPXr17N161ZWrFjBq1evxG8FBQXx/PlzioqKRHteunSJDh06MG7cODZu3EhiYmIlOVCj0WBtbY2Pjw/Ozs7cvXuXhIQE8vLyqFu3Ls+fP6dly5ZC7KhatSq3b9+mWrVqeHp6UlJSgp6eHpMmTcLZ2ZmtW7eSnJyMlZUVTZs2xcvLS6Tyenl5ceXKFQwNDSksLCQgIIC6dety4cKFShKdTCb7RxH/+vXr6OjoYGxszPDhw7G1tWXChAnEx8dz7tw5bGxsmDVr1l+SZLXjQKPRiBRQLVqZUCs+VZShtPPxvXv3ePfuXaXfqihJ2dnZiWPn5+fTuHFj7OzsCA0NpU6dOnTv3h25XE5ycjKOjo54eXnRqlUrIT1VPGZiYiJ79uyhe/fueHt7V7rHFT+rTX7WCpbaAgG5ubk8efKk0rnZ2dnh5ORETk4OPj4+eHl5/aXARkW019alSxemTZvG9u3bRUL7rVu3Kp1L3bp1WbduHc7OzsTHx5OZmYmuri7p6el4e3uTmprKtWvX/lZsrCh1/bsEWrGfaiUoKE+sXLZsGatWrWL69OmiMMGrV6949eoV3t7euLu7k5mZye3bt4VEZGRkhIGBgWgjIyMjVCoV5ubmODk5ERMTg6enp7jnurq63Lx5E+AvojqUC6eZmZmirWrWrIlMJuPt27d8/foVb29vYmNjK133oUOHUCqVQi6Uy+V07NgRAwMDIe7KZDJq1aqFnp4e+fn5tG7dml9++QV3d3f69u2LWq0WBQFevnyJiYkJ+/fvx87ODjc3N2xtbWndujXHjh2joKAAuVxOVlaWWPMaNWoElBcKCAkJIS4ujhMnTgAwdepUzMzMuH//PjKZjH79+vHHH39QXFws+nFwcDDz588nLy+P5ORkTE1NuXbtGrdu3ap0z7Kzs7l06RIGBgYiffv58+c8f/6ciIgIoFzK197rv0vS/v8WFRPWGzVqJERUMzMzGjZsKNas7du3M3PmTHR1dblw4QKJiYk8evSIx48fEx4ejkqlQl9fn+LiYsrKyvj06RP+/v68f/9e/Nkvv/zC8ePHOXjwIDKZjN69ezNu3DiePn1KXl4ex48fr3RuFhYWfP/+ndzcXB49ekRhYSHJycliX/L161eMjY3R09Pjx48f6OjooFAoUKvVor1PnjxJkyZNqFevHg8ePBC//XfJ6qmpqYSEhNCvXz8aNWrEp0+fhLjfoEEDvn//Tnx8vPh8Tk4O1atXx93dXSTCt2nTht27d3Py5ElkMhn+/v64ublRo0YNvLy8OHr0KD4+PtjZ2REUFMSnT584ePAgjRo1YubMmXh6eiKTyejfv3+luUqlUuHh4UGjRo2Ij4/n/v37Yp+k0WjQ19fHwMCA9PR0jI2Nad68OT///DMNGzZEpVKhVqtp3bo1arWaVatWUbduXZKTk2nZsiWRkZGVhMK8vDz09PQwMTEhMzMTuVxOSUmJkCF1dXXx9PRkxYoVrF69WiQY/1NRKHd3d/r168f+/ft5//49MplMrN0ymaxSYrxWVAfEfhaoJNNXJD09XSSsOzo6UlpaSlpaGr6+vn+R1b9//86TJ09ISUlh8eLF+Pn5odFoOHHiBIMGDeLjx4/iuCdPnmTSpEls3LiR+Ph4rKysyM3NFXOtv78/z58/Z8uWLWI/pu1zarWaOnXq8PLly38sfKKdS/X19bGysqJPnz7cunWLp0+fotFoOH78OD4+PuKeaaXwTp06IZPJhJS/Z88efvz4gZmZGaNGjUJXV5cuXbrw+vVr9u/fL85Hu77q6emJfSTAmjVraNasGfb29igUCubPn49CoSA8PByADx8+EBoayrRp0/Dw8KgkqgN/SSh2dXVl/vz5rF27lsjISBYvXlxJWO/UqRMKhYImTZqwY8cOIiMj0dHRoW7duiiVStLS0kQxLJlMhq+vL+3bt6d169bMmTNHFAVYunQpmzZt4sGDB0RFRVFSUkLdunXx9PQkMDAQ+FcRHiifz1xdXXnz5g3JyclERkayZcsW3N3defPmDenp6Tg6OorzzMzMpFu3brx//57jx4+zZMkSunXrRvv27XFycuLx48fs2LGDoqIiatasSYMGDfD39ycuLq5SmrNarWbDhg1kZWURGBiIgYEBeXl5lZLZ161bJ85R248sLS3JysoiLS2NiIgI+vTpA4CDg4M4v4MHD9K7d2/i4uKwsbFhypQprF27lu/fv1caUxqNhqysLJHIXlxcXKkP9unTh/v37/Ps2TOx95HJZHz+/Fn8Tr169bCyssLKyorCwkIMDAxwcHAQzwbTp09HJpP9ZR4wNDRELpfz5csXmjRpgkKhEM8KhYWFHDp0qFIqt0ajYerUqVhbW3P69GmqVq1K3759efr0Kffu3RO/O2rUKDp06ICXlxdFRUXk5uaiVCpRqVQMGzYMHx8f7t27R1hYGIAo0JWdnY2trS3GxsaiPQcOHCiKdU2dOhUdHR2uX7/O48ePUSgUYn5JSkri69evODs7s2bNGszMzDh48CA/fvxg2LBhuLm58ebNG5RKJYWFhahUKnx9fWnYsCGHDx8Wc9ONGzeoVasWderU4e3bt8TFxXH37l08PDxo1qwZDg4OzJkzh9DQUFHAbcSIETx69IitW7diYGCAsbExv/76K6tWrSI1NZUHDx4I6TwtLY2rV6/SvXt3atasybZt27hy5Qpz5sxBR0eH58+fizkkPj6elJQUhg4dyujRo8nPzycrK4tDhw5x6NAhrK2tmTFjBiYmJnTo0IGEhARu3brFgwcPCA4OxsPDgwsXLtCqVSvxPJqRkcHOnTuZO3cut27d+su6XlZWxp07d/Dz8+PKlSt07dqVSZMmUVJSwsaNGzl16hTp6enimf7Fixfs2LEDuVxO27ZtMTExoXPnzgCEhoaSmJiISqXi9OnTbN26lbKyMqysrMT4k1LUJSQkJCQkJCQkJCQkJCQkJCQkJCQkJP53IyWrS0hISEhISEhISEhISEhISEhISPwjZ86cYcmSJQwbNoyxY8cSGRnJnDlzCAgIYO7cuVStWpXPnz/Tr18/MjIyKgkcDg4OpKWl/WNKrqWlJbVr1+bWrVsiBVuj0TBx4kROnDjBt2/fhHw+bNgwXr58yZMnT1CpVJWOoxWkoVyorFevHjExMRQVFaGnpyde4NdiaGhIaWkppqamQshTKBQYGxuLpHKZTCZeem/dujXVqlVj1KhRhIaGipfkZTIZnTp1ol27dpw4cYIbN26gp6eHvr6+SIeLjY1l2bJlWFpaMmbMGEaMGEFGRsZfUunbtGnD8uXLCQsLo7i4mPPnzzN37lx0dHT48OEDcXFxXLhwodJ1mJmZ0bp1ayHd/RP/nnT5d+npWllJJpPRtm1bnj59SkZGBvCvxOgqVaqQmJiIvb093759Q6lUUr9+fe7fvy+EV62oIZPJMDIywtPTk+TkZJGAXBFvb2/Mzc158OCBuJ/r16/n9OnT3Lp1C1dXV3x9fbly5QoFBQVUrVoVFxcX8vLyeP78ORYWFvj7+xMVFSVS7bZv386LFy/EMZRKJXv37iUvL48JEyZQVlZGjx49+O2335g8eTKRkZHY2Nhgbm6OSqXiw4cP9OvXj2nTpmFkZMTFixeFPNS6dWusra05evQotra29OnTh4CAACHhFhQUEB4ejqenJ7/88gtlZWV069aNzZs306pVKzZu3MjmzZvZtWuXaNd/F0+0UmBAQADfv38X8odCocDR0ZHt27czZMgQvLy8mDlzJu7u7iQlJbFo0SLu3r0rihdoxU9twvq5c+dwdnZm/vz5NGvWTEiSarVaFGJo2rQpY8eOxdHRkQ8fPnD9+nXCw8Px8fGhXr163Lp1i48fPyKTyWjfvj0bNmxArVZz69Yttm3bxtu3b//LZNiK16pNf/z5558ZPXo0RUVFWFtbc+LECfbv309hYSGlpaUUFxeLtEcfHx927NhBXl4eTZo0wcLCQiQiZmRk0KpVK6Kjo/9WtDUyMsLX15f09HQ6duzI8OHD0dXVpbCwkH79+hEbG4uJiQlKpZLw8HAuXbrElStX+PDhAxYWFpibm3Py5EkAkVYKcPPmTXbu3Mnz58/p0KEDv/zyCytXrhRCnp2dHd26dSMsLIySkhJatGjBkCFDGDx48N+Kldrx6urqSkpKimjTunXrsmvXLszMzPj48SOnT5/m8OHDIs1em5pZUeSqmN564sQJUcDgf4o2dVYr/2qZOnUqo0aNoqCgQIjQCoVC9K9FixZx+vRp9u3bR3Z2NhMmTKBOnTpoNBqRslwRLy8vvn//TmZmJuPHjycqKor3799jbGyMSqUShTGMjY0pLS0lODiYkSNHsnnzZiGUV6lShRkzZlCtWjWcnZ1RKpUUFBQwffp0If7/p/TzadOmMXLkSNavX8+OHTsqyYq6urrMmzePn3/+mYSEBLKyshg0aBAajYbVq1fTqVMntm3bRnh4OPn5+f+49mkxMTGhuLj4L+NGqVRSs2bNv7SRubk5NjY2ooiA9tycnJxITk5Go9FgY2ODRqMhIyMDHx8fZs6ciZWVFSdOnODAgQNirraxscHGxobY2FhkMhkqlQpTU1O6du3Ky5cvef78+d+es7YAglqtplWrVkyYMIEbN26wadMm1Gr137avQqGgZ8+eFBYWcvHiRWrVqkX9+vXZt29fpTlw6tSp9OvXD2NjY/bv30+VKlVwcXGhZ8+eYh03MTFBpVJRWFgoBGSZTEZqairHjx9n165dYly1aNECHx8fxowZI2TMFy9esGDBAuLi4tDR0aFHjx6MGTOGMWPGkJ6ezvnz53n9+jVhYWE8ePCAVq1aMXLkSGQyGRMmTBBrmbZ4gzZt3t7ens2bN5OSkoKTkxOWlpbMmTOHhw8f0rt3by5duoSTkxM7d+4Ustb/G2g0Gg4ePMiyZcvQ0dFh3759VK1alUWLFhEUFCQKyqSmprJ27VrOnTuHo6MjX79+JTg4mLFjx2JgYMDKlSt58OABcrkcExMT3NzcePr0KQqFglatWuHs7MylS5fIyMigV69eTJ06lcTERObOnSuKHo0dO5akpCTOnDkj+omDgwPZ2dliT2JmZib2Yf+OtbW12JdoMTExwcrKqpKoWzGJ9tu3b0Dl4hgVad++PbVr12bXrl3k5OSI7wKcO3eOqlWrUlZWJoorDBkyBLVajaWlJVOnTqVmzZq8e/eOWbNmsX37dpo0aUJkZCTTp09Ho9EQEhJC//79KSsrY9u2bWzZsgUAZ2dnvn79KiRQDw8PLC0tefr0KSqVCjMzM9RqtSgGkJaWxuXLl6lbty6jRo2iSZMmYq+qo6PD1atXuXv3Li9evOD169dYWVmRmZmJkZERGo0GlUpFSUmJ+PN/ws/PjxEjRqBSqdi+fXslyVW7Z6nYln5+frRr146DBw+KAgBQubiJsbExDg4OYt4yNDTEwcFBCOzaNh84cCA3btwgOTm50tw5YMAAqlSpwuHDh0lJSaG4uBg/Pz+io6MrzTdKpZI1a9bQpk0bId5GREQwZcoUcb4ymYz69evTuXNn1q5dK4rEaK9vzJgxPHz4kCdPnlT6jrbAgvZ6tM8cf4eBgQFFRUVUr15dFND47bffuHLlChqNBjc3N2bOnEnz5s3/krB+6tQp7ty5g7GxMceOHUOj0eDr68vEiRNxd3fn+PHj7NmzR/TRihKxNuW+YrtNmTIFPT099PT0KCsrY968eejr6/Px40ceP36Mr68vO3bswNzc/B+vpyIJCQmsW7eOyMhIvL29CQkJEcUBiouLUSqV3Lx5k9GjR6PRaDAyMsLR0ZF3796ho6NDaWkpv/zyC/PnzxfPSnl5eYwaNYpnz57Rtm1b5s2bh52dndhPaPeLgBD8K8r1a9asYc+ePaIfNW/enD59+nD+/HlRWKx169ZERUUxZcoURowYQVZWFlu3biUyMpK0tDSRUp+amkpZWRmzZs3i119/BaBr165kZ2eTlpaGWq0W91cul6NQKKhatSqpqalMmzZNFDn4d/T09OjcuTPjx49n0qRJIkl7z549NG3alKSkJH7++WcKCwtp0KBBpUIoe/fuxdXVlejoaI4ePcrr16/p3r07x44dQ61WY2xsTP/+/dm3bx9VqlShadOm/P777+jr66NQKP62r8pkMnGNpaWlKBQK0cZz584lJiaGgIAAUbBH2689PT15/fq1eA5v2LAhI0aMIDY2lj/++IPExETxeTc3NwYOHMitW7e4fv16pQI8jRo1YsuWLWg0Gt69eycKcV25coUqVapQVlZGWVkZI0eO5P79+5iZmeHn50dsbCypqamYm5szbdo0LCws2LJlC2/fvkWpVHL+/HlcXFwAxPzi5uZGSUkJ9+/fZ8KECRQXF+Pm5kZBQQEKhYKkpCQMDAxwdHRk7dq1eHt707dv37/do86YMYP27dtjampKdHQ0Y8aM4aeffuLVq1ckJCTQrVs3nJycOH78OOnp6WJuqlOnDmvXrsXFxYVv374xb948AgMDGTlyJLm5uRw9epRNmzahp6fHxIkTMTIyYsGCBbi6ulZa25RKJTVq1GDo0KHUq1ePwsJCfvrpJ0pLS4V8b2lpSXJyMiEhIfTo0YNLly6xZs0aysrKyM7Opnr16mzatEkUnXvz5g2Ojo68efOGlStXEh8fLwoCNm7cmFq1arFz504xvrRzrrGxMT9+/ECtVldaE0xMTMjPz6d69eqiANnKlStp3LgxgwYNwsvLi0ePHnHz5k0uXLhAjRo1mDBhAm3btgX+lbC+du1aCgsLsba25vr16+jp6f3lfkhISEhISEhISEhISEhISEhISEhISEhI/O9FSlaXkJCQkJCQkJCQkJCQkJCQkJCQ+EeaNGnClClTaNasGVCeZqnRaBg+fDhVq1ZFrVZja2uLiYkJurq6IhlTKxr8XbIslIsZ2dnZ3Lt3D2tra5EiKZPJcHR0FJ/RyrrVq1dn1KhRIvXu+fPnNGvWDFdXV+zs7ITAqk0QbtKkCVevXv2LqG5gYCCEDg8PD+7fvy/+TqPR4OzsTH5+Prm5ueTl5WFmZkbLli1p3Lgxjx49QldXFzs7O1JTU9FoNEIg7927N2ZmZpw9e5batWvTu3dvXrx4wdu3b/n27Rt//vknABkZGZw8eZKRI0fSrl07ysrKCA0NJSoqigEDBhAXF4e+vj6lpaWcPn2a69evY2Njw+TJk8nPzxept1Ce/vlfiepQnqLs6OhIZmYmxcXFfxHVASG+aDQaLl++XCnxVa1Wo6enR2BgIElJSUL+Ki4u5s6dOxgaGqJUKoUApaOjQ4MGDXj69ClPnz4V/SEoKIjCwkIuX74MQGxsLH5+fnh6ehIbG4udnR3u7u4sW7aMkJAQrl+/Tn5+PoGBgSJhcdWqVRgZGbF8+XKOHTvGtWvXCAgIwM3NjYSEBBYuXMjbt2/ZtGkTqampFBUV0b9/f/r27UtgYCD3798XadT3798XCaBbtmwhJSWFRYsW4ebmhpGREQC1a9fGxsaGzMxMrl69SqdOnbC3t8fCwoJff/0VpVLJ/fv3KS4uRqPR8PXrV3x9ffH09CQyMhI/Pz+2b9+On58fR44cYdeuXTRt2pRq1apx4MAB0ZeaNWtGhw4dkMvl/Pnnnzx69Ah/f3/kcjkfPnwQKe6JiYkUFhYyYsQIPDw8UKlUuLi4sHTpUpYuXcr169f57bffhLCuTVgvLS3l0qVLQvbVkp6ezunTp7G1tWXKlCnUrFkTKE9CP3HiBEFBQcyePRtzc3Pq16/Pjh07ePnyJQ8fPmTt2rX07t2b5s2b4+bmRlxcHNeuXSMrK4tHjx5RWlpKUFAQAQEBFBQUYGhoyJcvX7h37x4ajQaFQsHXr1+5ffs258+fp7S0lMDAQAIDA+nTpw9Hjx5FrVajUCjIysoSiYQLFiygtLQUfX19wsPDUavVNGzYkGvXrnHt2jUGDBiAra0t7969Iz4+ntjYWBQKBQUFBWRkZLBjxw6cnJwoKSnh5MmTbNmyhezsbNHPw8LCOH36NNu3b8fQ0BAoFzmTk5PZtWsXI0eOFGmwurq6BAcHA7Bjxw4uX76MSqWif//+LF26lMLCQtLS0ti1a5cYdxEREXz//r2SoGxubi6kOe2fV5R+oFxKe/jwIfb29tStW5dp06ZRp04dxo8fj7Ozs/hcYWEhhoaGHDhwAGdnZzF3nz9/XnymopD5T1SU4Dw8PFi0aBHPnz9n5cqVYl5/8OABgwYNEim5FUV1tVrNly9fKCoqYubMmTRo0AC1Wk3Xrl3ZvHnzX5Late2ck5ODvb09Y8eOZcSIEXz58gUTExO+fPnC4MGDKSkpEfLVnTt3GDVqlBD09PT0SEpKYurUqVStWpU2bdqQm5vLjRs3yMjIQEdHB5lMRpUqVWjRogU/fvwgMjKSgoICysrK0Gg0rF27lkePHvHmzRvs7e3x8/MTqdilpaXk5OTw4sULBgwYQPPmzZk6dSrr1q1j9uzZbNu2jU+fPqFQKP72+v6diqnqFSkqKuLly5fo6ekhk8nEOpadnU1RUREymaxScZCkpCR0dHTQaDSkp6cD5fPw69evMTEx4erVq+zfvx+5XI6BgQEBAQHcv3+ftLQ0XF1dRV/TSkLe3t6V/rwiZWVlKJVK/P39hQh4//59ISqpVCoCAwN5/PgxJiYmuLu78+TJE/744w8WL15MUVERUVFRyOVyBg4cyNOnT0VS8bp161AqlVhYWLBy5Up8fHyYPn06Fy9eZNSoUXz8+JG8vDyMjY2ZOHEi/fv35/fff6dZs2ZUrVqV3r178+jRI5G0ff36dW7cuMHr16/ZsmWLSPpdunQpISEhxMbGcuLECaysrETy6LZt25gxY4boy1evXkWlUjFr1iy2bt1Kv379qFq1KoMHD+bEiRM8ffoUY2NjZsyYIVJVNRoNK1as4OHDhyiVSs6ePYuhoSGrV6/+f1VUh3/JuV5eXqxcuRJvb28A1q5dK8atRqPBzs6OGTNmUFJSQkREBDo6OgQHB+Pn58e6det4+/Yt9evX5/Hjx+Tn5/PhwwchH0ZGRgqRTK1W8+rVK65evUrdunVZvnw59+7dw8TEhN69e5OWlkZ+fj42NjacOHFCyP/Gxsa4uLgQGxuLv79/pWItFYsyWFpaVkpBr1atGsuXL2ffvn1iP6Sd23x8fKhWrZronxXT5qF8jrt06RKfP38mLy8PmUwmvmtlZUVOTg56enqib3/+/Bm1Wo23tzdv375l/vz5uLm5iX2wo6Mj69evJywsTAjN169fx9fXl5SUFPbu3YuNjY1Yz5YuXcq3b98wMjIiPj4emUwm1uA3b95gbW2NTCbjyJEjdO/eHX9/f7EHBmjevDkAq1atEkWUtOeq3Y8VFRWhVqsJDg7m9u3bZGZmolQq0dHR+YvEam9vT3R0NHv27GHUqFHUq1ePtLQ0MjMz8fLyok+fPqxcuVLs19VqNdHR0bx79478/PxKc17FuS8/Px9dXV1MTEzIy8vjx48fQiSVyWRMnjwZNzc3goKCmDx5Mlu3biU8PFwkrh8+fPgvzxLx8fEEBwfz8OFDIYQWFRUxf/58vL29cXZ25u7duxw6dAi5XI6VlRVpaWloNBoePXpEdnY2Gzdu5PXr1zx79ozr169TVlbGgQMHyMvLw9DQUPQFCwsLhg8fzuHDh/n69Sv5+fm0bNmSmzdv/u0cb2BgQP369QkMDBQSdEhICBqNhqtXr/LhwwdWrVol7qFarUalUqGjo0P37t3p3r07OTk5yOVybt26xfPnz5kyZQo2NjYiwV5LTk4OOjo62NnZ8ebNm0ry/uHDh/Hw8KBLly4UFxejr6/PihUrkMlkxMbGMmPGDFq3bv3fFtWhPMl66tSpAERGRrJkyRIhrGtlWa3U7eHhQWJiohivOjo6GBkZ0bdvX5RKpRDPTUxMmDFjBpMnT+b69euoVCoWLlwoniO1YvqxY8d4/vw579+/p3///vj5+eHq6sqUKVOIjY3lzp07WFhY0KNHD5o3b07NmjXR1dXl7Nmz3LhxA319ferWrSvu6dSpU2nTpg0XLlzg5cuX5OTk0KFDB5o1a8ZPP/0EwK5du4iLi6NmzZrk5eVRUFDAnDlzuHfvHpGRkahUKuLj42nQoAEtW7aktLSUtWvXUlxcjEKhEPu5kSNHMmHCBFQqFWvXrqVPnz5kZmYyf/589u7dS40aNRg/fjxr1qzh1q1beHt7M2jQIH78+EGNGjXIysqitLSU9+/f4+zsTFJSEnK5nKZNm3Lz5k327NlDWVkZTZo0Ec/hf/esZ2hoKAT2Bw8e8Msvv4iUdIBx48Zx9epVGjduzNixYyvJ6gsWLKBnz54MHz6c27dvA/D161fGjh1LcXExLi4uODg4kJKSIooqRUZGolQq0Wg0FBYWEhQURLVq1ahdu7YQ7cvKyvj48SN16tQhPT0dOzs79PX1xTgFyM3N5ebNm1hZWWFoaEjVqlV5/Pgx169fJy8vj6pVq5KdnS2OBeXF9qKjoys91xUXFxMYGMijR4/Q09OjXbt2tGzZkvDwcD58+MCsWbM4cOAAdevW5d27d5X2aDKZjAYNGuDs7ExZWZno56WlpfTq1Yvdu3dz6tQpIW///PPPODo6cv/+fR4/fkx0dDQuLi7Y29uzZcsWsf6amJjQp08fZDIZ69evZ+PGjdjb22NiYsLq1auJiopi+/btQPmzwuvXr5k6dSrOzs6MGjWKlStXMm3aNFGkJycnh4ULF9KvXz9UKhVfvnzB0tISExMTgoKC+Pnnn3FwcABg/vz5HD9+nF69ehEcHExYWBgXL15kzZo1ANy9excXFxd0dXX58eMH1apVE3tcAwMDgoKC6NSpE7a2tkyePJm0tDSxX/348SP37t3j1KlTWFlZMWvWLDw8PADo3LkzgYGB1KhRQxRy02g0tGvXDmNjY7p16yae+UtKSsjJyfl/fe8kISEhISEhISEhISEhISEhISEhISEhIfH/GVKyuoSEhISEhISEhISEhISEhISEhMR/RK1WC2m2U6dO9OzZk99++00k+F66dIlJkyYhk8lwd3fn8+fPdOnShbp167JmzRqysrKExOLq6opCoeDjx4+VjmFgYIC3tzfPnz+nefPmPH36lHnz5rFx40aSkpKoXr06YWFhvHz5slKyu7OzM6mpqfTs2fMvIq6BgQFKpZKsrCwMDAwoLS3FwsKC9PR0goODef36NYWFhfz48UPIp8DfJsM6Ojry7ds37OzsxAviw4cPB8ql+nbt2tGpUycuX77MhQsXMDc3R1dXl4yMDJFG2a1bNyIjIzE1NcXBwYG1a9eiVqvp3bu3EAz/XUKsmETn6+srXuBXKBRC9Pg7tHLHf0oQ/q/Q0dERydP/To0aNUhJSREyj6+vL2lpaUKS6NOnj5CBDQwMCA8Pp3bt2gDMmTNHJFTLZDKsrKzIzs5GpVLRpk0bunTpgq+vrxBOHz9+LJLlZsyYwfDhw0Ua9vv37/+SStywYUM6dOhAaGioaDsol+GKiorQaDQYGBiQn59PrVq1eP36NeHh4dSrV49v376Jl/ihXLKaOXMmUVFRIhXS2tqazMxMWrRoQZcuXQgLCyMmJgY9PT1OnDiBh4cHISEhnDt3jmPHjuHh4UFqairdu3cnMzOT/v37i/TvkJAQduzYwcePHxk1ahTBwcF8/fqVEydOcP36dfz8/MjIyODLly9AuUCnUqk4f/48tra2aDQakTqZmprKokWLuH79ukhYr127Nrq6unz//p3Xr1/TtGnTSm315s0bevXqxc8//8yiRYvEWN+0aRPbtm1jx44dVKlShb1796JWq9FoNJw+fVrIIK6urkycOFGIPdpiEdOmTSMyMpLdu3ejp6fH4MGD+eWXX5g5cyZ9+vQRoppGo0FHR4eGDRuSlJREWloaP378IDAwEH9/f44dO8b379/F8UxNTdm2bRsBAQHI5XKio6MZOnQovr6+dO3alQULFlBSUsJPP/0kxOahQ4cKeUImkxEcHMzGjRvJy8sjLCyM/fv3Y2ZmRkFBATt27MDa2prBgwdTp04dJk2aRGFhIXfu3GHnzp0olUpmzZpF3759gb8mrG/ZsoWXL1+ya9cu1q5dS2xsLFCe7KhUKqlSpQrR0dGi4IOurq6QQPT09ET7V+zT+vr6aDQakWoeHBzM7t27xd9/+fIFFxcX1Go1Dx8+ZPPmzXTu3JlFixZRs2ZNJk+ejKWlJaNHj66USmxsbExJSYk41j8lDyuVSoqKili6dCkymYwFCxbg6enJx48fmTlzpkhmrohWMCspKWH27NlcuHABPT09FAoF8+fPZ8mSJTRu3Jhv375VSoLVYmBgQFRUFGZmZigUClQqFXfv3mXixIkYGBiQlZUlhD3t37u4uBAaGkpWVhZ//PFHpcIeWrTX6ODgwMWLF1mxYgURERHMmTOHXbt2VUqwNDMz4/DhwyiVSp4+fcrKlStFsq6Hh4eQSzt27Ei1atVEYrL2vORyOfr6+ri5ufHy5cu/tOd/4r9Kf//3e6X9dwMDAywtLUlJSRFrwy+//MK7d++QyWT8+PGDtLQ01q5dS0pKCgsWLBCf09HRwczMDFNTUxISEv62L1SkY8eOxMfH8/79e8zMzPD09MTExISoqCjx3Xbt2hETEyOEZG1CsampKYmJiXh6eop1UZtiKpPJGD9+vBDdatasycSJE6lbty4nT57k0KFDJCUl0aNHD3R1dTl06BAPHz7EzMyM9evXs2vXLiwtLSkoKBBpyT9+/KBx48Zs27YNfX19AJ4/f87cuXNFUrNWOu3YsSPr168H4P79++zevZt79+7RvHlzevTowcyZM6levTp//PEHjx8/Zs+ePdy9e5eWLVsyYsQI/Pz8iIqKYsyYMaJd/f39Wbx4MdWrV/+Pbfr/S7Sy6r9TUd6G8uT5Xr16AeX9fN26dezdu5ezZ8/i5uaGhYUFjx49EgVHdHR0KC4uxtDQUNz3wsJC8Zta8UypVGJqakr79u1RKpXY2tqyfPlyDh06hEqlwsDAgJCQEI4fP86zZ8/w9PQUxVmqVKmCrq4uSUlJtG7dmps3b1aSCBs3boyPjw+7du2qlKZetWpVFi9eTFZWFomJibx69YqoqCj8/f3Jzs7m/fv36OnpifVBqVSiq6srftvS0pI1a9bQuHFjNBoN9+7dY8yYMVhaWmJtbV1pXI8cOZIOHTrQo0ePSqKzTCYT13z69Gm6dOnC2bNnqV69OiUlJWJt1+Ls7My8efPYt28fjx8/ZujQofz+++/MmjWLXbt2ib1i/fr1GTp0KKmpqSxevJhGjRoxePBg7OzsuH//Pnv27BHzvUKhwMLCgpycHHR1dYWUL5fL/7KHtLa25vv37xgbG5Obm1vpMx07dkStVnPt2jVMTExEkZd/R/sdbSq29jPaFHjtXlt7vH379lGjRo1KfXTv3r3s2bNHyKpQvt8YMWIE0dHRojCBqakpRkZGYo4B8PLywsjIiFevXlFcXMycOXPo1KkTgwcPFnuPdu3asWnTJqBcrv7tt9+IjIxErVZjZGRESUmJOE+ZTMa4ceMoKChg//79aDQaWrRoQcuWLVm4cGGlNtDR0WHMmDGMHz/+LwUS0tPTWbx4MVevXq2UsN60aVMxXh48eMDnz5+JjY0VorCFhQWlpaWioEKfPn24cOECubm5ldrb09OTjIwMsrKyKiW2h4SE0LVrV5G0rR2n2dnZWFhYAH+dB7Ro9yT/zpcvX1i5ciXXrl3D29ubhQsX4uvrC8C9e/cYPXo0FhYW2Nvb8+LFC3HMxYsXi+eDiknJ379/Z9CgQbx//x6ANm3aEBISgo2NDWq1mo0bN7Jz507xLKlUKvnpp5/o168fNWvW5N27dyxZsoTHjx/j6OjI+PHjMTIy4v379+zevZvCwkKcnZ1ZsGCBKPJQEe1eSCtPKxQKwsLCxB7WwcEBjUZDfHw8Y8eOpVu3bowfP57nz5+Lfj1kyBDatWsnktv/ne3bt9OkSRN0dXV59eoV/fv3p7i4GF9fX8aNG4darebWrVscP34cS0tLhg8fTn5+PmfOnOHTp0+iDevVq8fz589RKBS0bduWS5cuiXR07T69Ito+2K9fP4YPH05xcbFYY728vBgwYABVqlQR9zQ3NxcTExNWrFjB+PHjgfJ5/PHjx2zbto3Nmzf/4z6m4jOsrq4uDRo04MmTJ+JZXUdHhxYtWtCrVy/s7Oy4efMmBw8e5OPHj6JQhYODA9bW1rx+/Zri4mJGjx5N9erVycnJwcDAgJUrV5Kfn49Go8HDw4NmzZpx6NAhGjZsyJo1azAyMqKsrIyQkBBOnDhB3bp1GTVqlCh2sHnzZsLCwrhx4wYKhYJDhw4RFhYmCqlZWFiQnZ1N165dxfOW9to8PT1Zvnw5Pj4+ZGRkMHbsWGJiYrC0tBT7Q41Gw+TJk8UeICIigilTpjBkyBBmz55daaxpE+T19PTIy8vjwIEDbNmyBbVajaurK5GRkWg0GsaOHUtUVFSl+6mlXbt2vH79mq9fv2Jtbc2qVato1KiRuA/aOVgul6NQKCrdr/Hjx3P16lVkMhk2Nja0bduWyZMnc+XKFWbPni0+V/F+BwQEMHbsWGrWrImRkRF6eno8ffqUMWPG4OTkxPjx44mIiCAwMJC6devSs2dPWrZsyaZNm8S5aM+joKCAvXv3sn37dmrWrMnw4cPp0KEDpaWlTJ06lStXruDv78/u3btFETkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJif8bSMnqEhISEhISEhISEhISEhISEhISEv8RraigfRFbKwArFAqePn3K+vXrkcvlVKlShfr165OTk8Off/7JzZs3hUxRVlaGsbExnz9/plevXuTk5AhRvHbt2nTr1o0dO3ZgamrK9evXmTp1Ku3atSMvL481a9bw+fNn8ZJ3xWR3KBd4tS9RW1lZ4ebmRteuXSktLeXPP/9Eo9GwaNEiXr58SXh4OADfvn2jX79+BAYGMmzYMCEradMwoVx0SkhIQC6Xk56ejlqtJiUlBWNjY2rWrMnevXsZNmwYarWaiIgIevTowcSJE5HL5dy4cYPv379To0YNGjVqRLNmzTh48CAajYaqVaty//59Fi5cyNq1ayksLMTa2prg4GCSkpJ4+PChaPuKL5Y/f/5cnFdiYmIlsURPT6+S4KoVHSsmNv8dWnlQLpcLsUn7HY1Gg4uLC0qlkjdv3lSSJ9+/f4+pqSl169YlJiYGa2trbGxsSE1NRS6Xc/nyZYKDg7GwsKBWrVrUrl2bwsJCDAwMGDx4sJDVNRoN2dnZlJWVUb16daKiorh//z5eXl7IZDIiIiIqpX8+evSI4cOHs3v3biG5ahNZP3/+TEFBAQ8ePCAuLo4qVaoQFxcnZNaKv5Ofn0/Xrl1RKpV8+vQJExMTZDKZENW1MoE2MffJkyfk5uZiZGQk2ikqKoqoqCj09PQwNDTE2dkZIyMjHj16xJUrV8S/Q3nKqVZe0SZ99u7dmxYtWpCamsr27dvZuXMnFy9exMXFhaZNm/Lq1Suio6NF+p72d8zNzfn+/Tu2traUlZWho6ODWq3Gzs6ORYsWIZPJiIqKYsWKFcyaNYs6depgaWkpRPWK8lFqaioqlUqkNmr/PCkpCZlMRvXq1TE1NeXWrVsUFBRUSuM2MDDgy5cv7Nq1iyZNmmBqaioSpc3MzDA0NMTW1pbPnz8D8Oeff6Kvr09YWBijR4/mzZs3yGQyysrKhAASExPDtm3bePDgAaWlpfTt25fdu3ejUqmQy+Xk5uayatUq5syZg7+/P1WqVBHjycLCgpKSEhQKBefPn+f8+fPI5XIhdejo6GBtbU39+vVJSkrC3Nyc2bNnExAQwLx58/D29hbSf0lJCePHj6dWrVpAeXEGAwMDNmzYwNq1a4X4UzFhvVmzZpSWllJaWoqVlZWQ5xQKhRDkXr9+XWn81ahRg8zMTH78+EFJSQkymYzp06dz7do1Hj9+TJMmTXj37h3m5ub4+Phw5swZvn37VkmSd3FxoaysjJKSEvbu3cuzZ8/4/v07Hh4evHnzht27d9OgQQO+f/8u+mp2djb5+flYW1uL/vxPcrI2yTs0NBQjIyPkcjnTp0+nSpUquLq6ihTJionq2pRvlUrFypUrKSsr49KlSwDExMRQUlLCrVu3UKlUoiBHRSmysLCQx48f06ZNG1HQoKCggOLiYnE87flqv1NaWkpWVhbPnz//x8Ry7XeysrIICQnh/PnzjBw5ktatW3Py5MlKsnpOTg7nz59n8uTJWFhYkJeXx4YNG8jLyyM+Ph5nZ2eysrK4ePEizZs3x8/Pj+joaDQaDebm5uTm5vLLL7/Qr18/1q5dS2RkpGjPv6OiaFZxru3evTt3794lLS2t0nXo6enRunVrrl+/LuTgwsJC/P39SU1N5dGjR0D5uJPL5axYsYI3b95w4MABQkJCsLa2RldXV6x97u7uxMfHi3U8IyODr1+//qUYiBZt2ryOjg45OTkiqbSijHr58mWqVavGlClTkMlknD59mo8fP4q9RGxsLHv27GHJkiXs2bOHZ8+eodFo2LJlCxMmTKB9+/ZcuHCBefPmMWfOHAYPHoyzszObNm3i5MmTWFtbiz5w4cIFwsLCaNasGcOGDePly5ds375dzHd37txh/PjxbNu2jU+fPlFYWMjPP/9MZmYmL1++5PPnz3z79o2IiAjatm1Lhw4dCAoKAsrXyRs3bpCZmUlRUREtWrRAR0eHwMBA0RevX7+OXC5n0qRJ1K9fn5CQEAoKCqhduzaenp5YWlr+bTv+v8XfierAXwRVe3t7TE1NgfIiG4cOHeLevXsYGhry7t07PD09adCgAQ8fPqSsrAxdXV38/f2Jjo7GwcGBIUOGkJeXx5cvX7h27RqFhYUcPHhQ/P6xY8do0aIFw4cPZ8yYMRQUFHD69GkKCwsJDQ3F398fMzMzUejD3t6eL1++ULduXWxtbYmKikJXV1esVWq1mrt37/Ls2TOMjIzo06cP27dvp7i4mISEBLZu3cqkSZNo3749V69eJTY2lhcvXoh+re3/ALVq1aJnz56EhYXx/v17vn//zpQpU9i4cSNBQUHUq1dPJDFXlKOhPHU9MzMTT09P4uPjsbCwICsrC3Nzcy5duoS9vT0KhYKZM2fy/ft37ty5U2nO9fDwQFdXl9evX7Nu3Tq8vLxQKBS0b9+erl274unpSbNmzRg0aBDfvn3j8ePH5OTk4OPjg5WVFTNnzsTLywsol7VbtWrFoEGDSElJQaPRiHl+9OjRtG3bli9fvqBUKpkyZYpI51apVBQXFwtRXdu+WgwNDalZsyaXLl362+ImRkZGFBYWChmxZs2alYqRaPeUurq6xMXFAeV7mvPnzzN16lQMDAyExDxixAiqVasm0uehXJi0sbFh+vTpYjyWlJSwdetWrl27xvnz58nIyODdu3fo6OgQFBRE165dadOmDbq6uoSFhdG/f3++fv1KYGAgUP5sYmtry7x589BoNERGRlJQUICJiYkouqJWqzlz5gxKpRKlUomJiQkNGzakV69eFBcXs2zZMnGNKpWKxo0bV1qntGPMxsaGhQsXAoiE9dWrV6NWq2nevDlbtmxh165dqFQqNBoNhoaGGBgYkJmZKcaqubk5R44cqdTu2vsQFxeHl5cXwcHBACLl+bfffqNhw4ZUq1ZNiNjAfymqV/zs+/fvycjIID8/H0tLS/z9/Zk9ezb6+vpcvHiRxYsXC2G94jjR3jstd+7coU+fPmLvpFAokMvlWFpaYmdnh56eHhqNhitXrgAQEhLCmzdvCAsLIzAwkKFDhxIXF8f58+c5efIkxcXFDB8+HE9PT0JDQwkNDeXy5cvMnTtXHNPS0hJ3d3dev37Nzp07RbEB7f3S0dERxXROnDjB8ePHUavVPH/+HKVSiYuLC7m5uVSrVo327dvTrFkzrK2tMTAwqLRuHzhwgNLSUrF+K5VKfHx8SEtL48uXL4wZM4YDBw7QoEEDatSoQevWrblw4QLPnz9nxIgRBAQEMGzYMPT09Dhy5AhLly4FEPtY7T7ryZMnyGQyVCoV586dw9jYGECsu3K5XOyttf1m+vTpDB48mM+fP/Pjxw92797N7NmziY6OZt68eZWK/2if6+bNmyfasKCggI4dO/Lp0yfkcrnYx/xd4Zxq1arx4cMHSktLefv2LSqVioULF/L+/XuOHTvG6dOnOXv2LHK5XJyzh4cHgYGBPHjwgHfv3pGcnIyfnx+9e/cWxbC0a7n2+VCj0fDlyxcOHDhAUVERnTt3xsjISBRS6dmzJw8ePOD58+dCHAf49OkTU6dORS6XExUVxdKlS1m8eDEGBgacPn2arKwsjI2Nad26Na1atcLU1JTDhw/j5uZGXFwcS5cuZdGiRdSoUYNp06axe/duPn78iLe3N/7+/jg4OIhidgDp6enI5XLq1KkDwPnz56lSpQp169YF/lVcLjQ0lISEBPT19SksLCQxMZFff/2Vffv2sX37doYOHcrdu3fRaDR06NCBT58+ERsby927d8XzrUwmE+2jnYP+TlLX9qf+/fuTmJhIUlIShoaGHDx4kGfPntG9e3f8/f1FEaGKBUYSEhJESr2FhQXXr19nx44d5OXlMXToUFq1akVQUBBGRkbExcVVus/ae6PFyMiITp06ERUVxZs3bwgPD0ej0dCgQQOxvi1durTSc7CEhISEhISEhISEhISEhISEhISEhISExP8NJFldQkJCQkJCQkJCQkJCQkJCQkJC4r+Fs7MzBgYGREREYGRkhIODAydPnuTr16/IZDKqVKnC4cOH0dfXp3r16nz58oWysjIsLCywtbUlLi4OfX19jh07BpSnccfHx+Pg4MCJEydIT09HX1+f4OBg2rZti1KppEWLFmzfvp3MzEwePHgAQNu2bWnQoIEQKc6ePSvSvzMzM2nUqBGpqamcOnWKL1++sHDhQjp06EDt2rVJTEzk6tWrxMfHY2RkRGlpKfr6+kJYys/PRy6XM3r0aAYNGsSxY8fYsGEDCoVCJCC/e/eOFStWsGbNGvbt28evv/4KlMsnS5YsYezYsSgUCk6dOoW5uTnTp0/n69ev3Lhxgx49ejBo0CBmzZrFrVu3aNeuHfn5+djb22NjY8PJkycxMjISUnBeXh6mpqZCvtTT0xNCZUVBwMDAAAsLC1JTUyvdM+3v/FMKnkajwd/fn82bN9OmTRu+fv1KdnY21tbWeHp68ujRI4KCgpg9ezahoaF4eHjw+vVrRo0aRYcOHbCysiIkJAS5XM6tW7eoXbs2RkZG3L17lzNnzgAIAVxPTw+VSiVE+6CgIO7duydkEZlMRqNGjXj06BFPnz6lXr169OzZkydPnvDmzRs0Gg2PHj3izJkzREREYGBgQLVq1Vi5ciWenp58/fqV7du3c/bsWSHAGxgYUFhYSM2aNcnNzeXbt2+VRP5z587h5OSEiYlJpXapKO5oU5PHjRtHXl4eHh4e6Onp8fbtWyGL//jxg06dOvHixQv27dvH9+/fmTZtGk5OTkC5FK7RaPDy8iI2Nha1Ws2LFy9Qq9X8/PPPlJaWEh4eTmxsLHFxcZSUlAhZrLCwkP79+3Pnzh2ys7PJyclhxYoVhIWFoaOjI8aBVlhfuHAhCoWCK1euMHfuXA4ePIitra24noopmdWrV8fe3p7ExMRKsrqnpycajYYRI0ZgZWXF9+/fUalU2NraMmTIELZv305+fj52dnbEx8fz+vVrGjduDMDjx4+5evUqVlZWlJSU0KZNG7Zu3cr06dM5ePAg+vr6/Prrr8yaNUvIJ/v27cPAwIAJEybg7u7OzJkzefbsmRDGAMaOHcvjx4+5f/8+3759o6ysDCsrK+bPn8+wYcO4ePGiSNV1dnbGyckJHR0dTE1NuXz5Mmq1msLCQj58+MDatWtp1KgRXbp04dixY+Tm5mJtbc3w4cPx9fXFzMwMb29vIXRYWFjQr18/ADZs2MC6deuQyWT07du3krDeunVrAJH8a2trS3p6OtbW1uTk5Ij5xt7eHl1dXd6+fSsKPaSnp2Nra4tKpeLJkyc0btyYoKAg7t69y5gxY2jZsiVRUVEUFhZSUlIiZHWtGGhgYICTkxMKhUIIRdr78eXLFzQaDc7OzlhZWWFlZcWlS5cqJa3/Ew0bNsTIyIiHDx+SmpqKjY0NderUEWNGK6xCeVKrVqw7ePAgiYmJhIWFsXr1aj5+/Eh8fLwYc9p1o7CwEEdHR5KTkysdd9WqVbi6uuLh4QFA+/btuXfvHsePH6809xkaGpKfn8+3b98YN24cACYmJri7u9OkSRMOHz6MkZERWVlZ4ntFRUVcuHCB2rVr07VrV8zMzNi2bRsjR47kzZs3QmTdvn07rVq1olatWgwYMICIiAiePn2KRqMhICCAIUOG0Lt3b65fv17p3LUFQl6+fImNjQ3t2rXj7t27lYo9mJqaYmBgIOZsrVj271y4cEGMzYoJxSUlJTx69IiuXbty9OhRNBoN+vr61KtXTxQD0QpdarWaN2/eMHv2bDIyMrh79y5JSUm4u7vj6+vLiRMnePv2Le7u7jx//hyNRkO1atWYMWMGlpaWbN68uZLIL5fL6dmzJ+np6SQkJIi/KykpEeKVltGjR9OtWze2b9/Op0+fxHqrTSLNyMjg5cuXzJ07l1WrVonU7s2bN/Prr78ik8n49u0bISEhlJaW0rlzZ/H3cXFxyGQyPnz4wPXr11EoFEyYMIFatWrh5uZGSUkJmzdvpqysDENDQ27fvk3nzp0pKioiLS0NtVqNra0t48ePp1mzZpw4cYJNmzYxbdo0SkpK6Nq1K0FBQchkMrKzs4mJiUGhUGBlZYVGo0Eul9OwYUPR1tevX8fS0pIlS5bQv3//v72f/9uxsLDAycmJt2/fcunSJSwtLQkMDEShUPD48WPi4uKoVq0aVapU4fPnzxQVFfH69Wtat27N1atXOXr0KDNnzkRfX58zZ87g6+vLzz//jJmZGbdv3+bhw4ccPHiQhIQEli1bxpw5c8Qam52dTVRUVKX1183NDUtLS168eCHkPm0BFG2hCyhfJ2vXrs2xY8coLi7GysqKzMxMHj16xLJlyxg3bhxt2rRBLpezcuVKvnz5QpUqVcjNzSUrKwsDAwP8/Pzo0aMHpqambNq0iXfv3pGTk8OkSZNYu3YtTZs25bfffqNu3bp8+vQJOzs77Ozs+PPPP8UaM336dLZv386zZ88wNTWloKBAzHcAffv2xcnJCQMDA3Hu/fr1Y+bMmZSWljJu3DgePXpEamoqdevWxcXFBQsLC1QqFS4uLhw8eJA+ffqQkZFBSUkJ8fHxtGrVCi8vLyEnqlQqqlSpwp9//kmPHj1IS0sTc8GtW7eoVasWzZo1Y9u2beTk5FCrVi3evn2LoaGh2Gtq172K8+bp06e5c+cOgCgyoy0qAOX7TUNDQwoLCykrK6uUPK9Fm+Zsamoq9jjh4eGkpaXRpk0b/Pz8gPKCOZaWlgQEBHDt2jWKioqIj49n+fLldOzYkaysLIKDg7l9+zajRo1i06ZN1K9fn02bNhEfH0/r1q0ZPnw4NWvWBMqLEtjb23P+/HlevXpF/fr1KxV9ycrKokuXLmRnZ/Po0SPy8vIwMTEhPz8fCwsLvn79ikajoW3btkyfPl0UatEWgRg0aBCenp4UFhbi6+v7jwK4VlhXKBRcunSJ9+/fExoaytOnT9m7dy82NjYiRTouLk70ESjfr2uLHmkl1LKyMjQaDU5OTiQlJREbG0vVqlWZO3cu/v7+LFy4kNLSUo4ePcqcOXNEsnrFc/unRHWtVLpr1y6OHDlSqUBDhw4d6NOnDyNHjkRHR4ezZ8+yePFi5s2bR7169Vi+fDm+vr58/PhRFDx68+YNV65cYdKkSWzcuFG0PcDDhw+Jjo5m2LBhBAcHM2/ePK5cuYJCocDDwwNDQ0Pmzp0rija4ubmxe/duLly4AMCwYcPw8vJi48aNXL58mW/fvpGQkIC/vz9ubm7Y2NgQGhrKxYsX2bVrFzKZjObNm4tiBNpCRZcuXSI6OhpDQ0OgfK8QExMDlBc506Z8x8XFcf/+fbp06UJpaSmXL19GJpMRHh5OWVkZHh4eLFu2jLp161JUVMTSpUs5fvw4MpmMrKwsFAoF48aN48aNG5SWllJSUsLTp09RKpWMHz8eX19fpk2bhr6+PiYmJrRo0YIWLVogl8s5ffo058+fFwUmCgoKsLOzw9TUlPj4eNRqNePHj6dly5YsXrxYFOSaOXOmKDzVrVs3Zs6cSX5+Pg8fPiQtLY3Y2FhUKhVhYWGsXLmSP//8s1Lf+/Tpk+gb+vr66Orq4ujoSHx8vPiciYkJe/bs4eHDh9y8eZOIiAh0dXXR19enf//+mJqasm/fPl6/fk1ZWRlmZmYAvHv3jrNnz7J3714KCgrIz8/H1NRUiPjae/Ty5UvGjx+Pp6cn5ubm3Lhxg9zcXGbPnk3Hjh0r9eGHDx+KfWbF64iIiMDT05PJkydTWlrK7du3WbZsGfXq1ROfy8/PZ+PGjVSvXp2FCxfi6OhIVlYWOTk5REdHM3nyZObMmUOzZs1o0KABqampWFhYoKOjI8aNWq0mOjqaw4cPY2lpibOzM4cPH2bJkiW0a9eOkSNH4uPjA8DgwYN58OABenp6+Pj48PLlS1QqFffu3aNz587s2rWLsLAw1qxZw969e0XBEO25ymQyTE1NGTlyZKX9iZaKhSe0Y16j0VCnTh1q1apFVlYWLVq0QE9Pj3PnzrFs2TLq1KmDjo4OSqUSMzMzfHx8+PDhAx8/fmTYsGHi/rx//x6ZTMbs2bPp0qULarUaQ0ND1Go1BgYGWFpacv36dZ48eVKpjbW4ubmJZ+Nnz56RlJREeHg4W7ZsARDFcyQkJCQkJCQkJCQkJCQkJCQkJCQkJCQk/m8hyeoSEhISEhISEhISEhISEhISEhIS/y0cHBwICQlhyZIlHD9+HChPtW7UqBH37t3j9u3bNGrUiMmTJ3Pnzh02btwIlIt7zs7OmJmZkZeXJ6Q7bVJ4ZGQkRkZGuLu7k5yczPDhw3F1dQXKk9JNTU3x8vISQrRWhlMoFDx58oSjR4+KVOesrCzOnTsnUrEXLlwoJFMnJydGjRrF1atXAYiOjiY6Ohoof8G+uLgYjUbDL7/8wsSJE9FoNPTu3RsoF1S1qYrFxcWcP38eCwsL5s2bR1hYGEOHDsXGxga1Wk3VqlUZOXIkeXl5+Pv7o6+vXymV3svLi/3799OmTRsyMzORyWQ0adKEQ4cOAeUJZm5ubnz79o2CggJyc3PFi+Vaqb6iuAjlKcA5OTnI5XIcHBxISUlBrVaLNLN/SvOFcsFQLpezZs0aRowYQV5eHhkZGfj6+hIYGMjt27dp2LAhv/32G9u2bcPZ2ZmuXbsC5YKPq6srZ86cwcTEhOXLl2NqasrEiRNFItuTJ094/fo1Pj4+PHnyhN27dyOXyxk2bBhBQUGsXbuWsrIyPn78SJUqVQgODubq1auYmZkxfvx4iouLGTduHC9evKCwsJAtW7YI8WvgwIF4eHigUqlwcHBgypQpGBsbc/DgQfLz86levTqpqam8ffuWJk2a0K9fP/Lz84XomZWVVUkq/ycaNGjA3r17mTJlCu/evQP+VSxAKxNt2LABKC8MMH/+fH7++WfWrl2Ls7MzjRo1wt7eHplMxtChQwkLCxMpckOHDqVXr164uLiwbNkykpOTuXnzpjj26NGjmTx5MikpKaSnpzN16lQePnzIlClTWLt2Lbq6un8R1ufPn09ubi5NmzatJKpXRCt716xZk2vXrtGjRw9MTEzw8vLC09OTxo0b8/LlSxITEzE0NEQmkzF37lw6dOiAj48PEyZM4Nu3b8jlchITE4XgGBYWxvfv38nKymLLli2MHTsWOzs7xo4dy7Zt29i7dy+Ojo4YGRlRo0YNoqOjkcvlbN26lc+fPzNw4EBGjx7N/PnzuX//vjhu//79SUhI4N27d7Rq1UqIGLdu3RL3Q5vi+fXrV4yNjWnZsiUPHjxAoVDQqVMnzp8/z6lTp5DJZNy9e5e7d++iUCiYM2cOFhYW3L59m2fPnmFnZ0dqaiouLi5CaDM1Na0krK9duxa5XE7v3r3R1dWtJIAlJiai0WioVasWt27dIiMjA7lcLkTdxMRE9PT00NPTIyMjAxsbG6C8qMGaNWto0aIFbdq04dixY5iZmeHm5sbLly/Jy8ujU6dOGBkZifuobYfdu3dz9OhR/P39KSkp4dWrV7i7u2NgYMCrV6/QaDRkZmaSnZ1Ndna2kAVlMhmWlpbk5uaK+UJfX5+SkhK6dOnC6NGjSUhIICUlhbdv3zJo0CDgX8K0np4eAPv27ePcuXOisIRW4t+7dy/Dhg1j69at9OzZk9zcXH78+IG+vr4QtKdOnSoSk7VFLr5+/cr06dNZs2YN7u7uyOVyli1bxt27d4XYXqtWLTZu3MjmzZs5ffo0CoWChg0bEhwczMqVK/n69StyuZxt27YRERHB77//LgRMbRqq9hzMzMwoKCjAxcWFQYMG8fLlS1xcXKhduzYA169f5+nTp1SvXp3MzEzu3LlDTk4OJSUlYuyZmZnh5+cn5PXo6GiGDh3Kly9fKCgowNPTUyQK5+bmClnz39EW2TAwMGDp0qW8ePGC8PBwsQ5o556MjIxKKccWFhYsXrwYjUbDhAkT+Pz5MxcuXEClUvH777/j5OTEunXrSExMpLCwEEtLS2xsbPD392fevHm8e/dO9GFtUYSffvqJ1q1bM2HCBDHWtPL7xIkTCQwM5MKFC+zevZuEhAQcHR3Jzc0lOzsbGxsbzMzMyMnJ4caNGzg4OJCcnEzz5s3FPd+0aRM7duygrKyMGTNmMG/ePJycnLhx4wZhYWGiTbRFOvT09Gjbtq2Qo3Jzc9m7dy9v3ryhWrVq1KpVCyhP083MzBTilFKppKSkhE+fPmFgYMDIkSPJyMggNzeXgIAAMUeVlJSwY8cOZs2axbVr13B0dEQmk4k1R6PREB8fT1FREUqlEplMRsOGDSkrKyMhIYE//viDHj164Ovr+7f39n8DWvHv79DT06N+/fq8ffsWExMTJk+eTK9evQBITk5m69atnD59GqVSia6uLiqVCjs7O9q1a4e5uTnHjx9n1qxZ1KlTB2dnZxYvXoyHhwcymYxmzZoRExPDpk2buHPnDqtXr2b+/PkMHz5ciOCPHj3C2dmZ1q1b8+zZM+7du0ft2rXx9vYWwvqPHz/IyMigqKhIzKk6OjoUFhbSqFEjgoKC0NHRYerUqajVat6+fcvixYupVq0arVq1QqPRsGnTJj5+/IiDgwMFBQUUFRXx+fNnYmNjadWqFUAlYX3atGmsWbOG4OBgBgwYUKn9AgICmD17NleuXEEmkzFmzBghrBsZGZGWliYKcnz+/JnPnz9ja2uLgYEBKpWK+vXrU1RUhIWFhRB48/Ly6Nu3r0i/1hamcXFx4ejRo/Tt25fExESgfO4qLCxEX19fzL1lZWXcv3+fAQMGsHXrVrF3jImJYefOndy/f59Dhw7RoUMHBgwYwNGjRzl//ry4JoVCQf369fH09GT//v3k5uaiUqnEmj9q1CgxftRqtVh7S0pK8Pb25u3bt0KY9Pf35+nTp0D5+NG28bVr11AoFPz48YNTp05x6tQpnJ2dKSoqIi8vD7VaLf5nYWGBkZERiYmJHDhwAHNzc2bMmEG1atX4/fffmThxIqtXr2bixIls3bqVixcvYmhoyJAhQ3Bzc0NfX59Pnz5hZmZG/fr1/yJjh4eHk56eDiDmqby8PAwMDMjKysLQ0JCCggJev37Np0+fcHFxITo6mv379+Po6EjPnj1FwYD/ChsbG2bPnk1+fj6pqal06dKFyMhI7OzsyMjIID09HY1GI543tPO9tnCV9h6bm5uTlpYGlD83aNeXq1ev4ufnx5AhQzAyMmLRokX8/vvv5Ofn89tvv/2tnP7vaPv35s2b2bp1K05OTvTt2xe5XM7Vq1eJiIggLi6OQYMG8euvv6JWqzl//jy//fabENYHDBggjjVgwADxXHDp0iWmTJnC4MGDsba25u3bt+zdu5eSkhLq1q1L7dq1CQkJYdmyZVy6dIl3795RrVo1PD09xZ6jVatWyGQydu3aJYT1wYMHU6tWLdq1a/e31zRz5kwALl68yN69e1Gr1bRs2VI8Tzk4OLBlyxZGjRrF/fv3xfe0fe/r169MmjSJXbt2iWc6mUzGvHnzkMvl4jwAgoODqVu3LiqVivPnzxMQEEB+fj6jR4/G0tKSOnXqMGXKFPr06cPevXuxtrYmIyODe/fuYWpqSkBAADKZjM2bNxMQEICOjo549rWzs0NfX59Tp05Rv359WrRoQbt27dDR0aFHjx5kZmZia2tLbm4usbGxokACgKOjIzo6Opw+fRq1Ws2QIUOoW7cu+fn5nDx5krZt21JaWoqVlVWlQm5aDAwM6Ny5M66urmzcuJGioiKR/K7RaPDx8cHCwoLu3bvj7e3Ny5cv+fr1K5MnT8bHx4dXr14JsXvSpEm0a9eOjIwMRowYwenTpxk6dCguLi6VBGXtPKLRaPj+/Ts/fvwQexF3d3fmzJlD9+7dKSsrE0Uc8vPzuXLlCq6urnz+/Fnsd01NTXnw4AEHDx5kyJAhzJgxA4Dbt29TVFREr169SE5O5s6dO7x//54lS5ZQvXp1Tp48SUlJiRiL2nT2sWPHMmzYMOzs7JDJZMTExPDp0yfq1KlDfHw8O3fuJCEhgUWLFlGnTh1MTU3x9fUlMjISmUzGiBEjePnypSjG16RJE7Zv305oaKjY/8THxzN37lz27t3LtGnTqFOnDi9evODMmTNkZGTQokULevXqhYeHB05OTqJoSUW0c939+/epXr26OF9tQnp6ejoRERGMHTuWPXv2sHLlSm7evIlCoSA/P5/8/HzatWvH6tWrOXz4ME+ePOHVq1cUFxfTvXt3WrVqJYp1aceFtohhjx492LZtGxs3bmTevHl4eXkBVLpfMpmM2rVr06hRIywtLalSpcrfjmEJCQkJCQkJCQkJCQkJCQkJCQkJCQkJif87yDQVIygkJCQkJCQkJCQkJCQkJCQkJCQkJP4LYmJiiIiIwM3NjerVq3P37l22bt2KtbU1e/bs4fPnz8yZM4eqVavy+vVr8XK3QqGolB7btm1bdHV18fX1xdTUlNmzZ9OzZ0+WLl2KRqMRyYOTJ09m2bJlNG7cmA4dOlBUVETPnj1xdHTk1KlTfP36lZCQEOrXr8+oUaNISkrCy8uLyZMn06JFCwAhnObn59O7d29q1KhBVFQUderUITo6WiRkKxQKpk2bRsuWLcnKyqKsrIyysjKePHnChg0b0NXVFemxZWVlDBo0iLlz55KSkoKtrW2l1ML8/HyRCpecnEynTp0oLCzk559/Jj8/n4iICNEW2mRld3d3li5dSs2aNbl37x7jx48XydJagRHKU8ELCgrQ19cnPz8f+FdSmoGBAQ0aNODWrVui7b29vWnWrBk7duxAJpOhp6cnJAStpKtWq4mIiGDevHnimN7e3sTGxhIYGEh2djZxcXEsWLAAW1tbJk6cKF6K9/b2ZvXq1VSvXh25XE56enolYd3GxgZnZ2c+fvwoUvCGDBkClEu2a9asEdfQtGlTsrKy6Ny5M4MHD+bJkycsW7aMt2/fivaSyWQolUq2bt1KYGAggBA5UlJSmDFjBo8fPwbKhfbr16+TlJRUqR8rlUohzAD/mIRZkW/fvnH9+nVevXpFdnY2VatWRaVSkZ+fT3Z2NrVq1SIgIIAGDRoQFxcnpP5ly5YRFRVFVFQUHTp04N27d0J6HzVqFFOnTkWlUrF48WLOnTvH1KlT+e2331AoFJw8eVIkncvlcl68eMGUKVNITk6mbdu2fyusy+Vyfvz4IdIh//3aKv77woULOXr0qBijarWa9u3bM3PmTDIyMnjw4IFI/Ny5cyf29vYoFAqOHj3K4sWL/yJG6Ovr8/PPP3Pjxg0hjefn52NiYiLklaKiIiwtLVm/fj2bNm3iyZMnYkxp769W+urSpQurV69GpVIhl8uFRKVWq0XSYMOGDalXrx7h4eHk5ORUSt6Wy+XMnj2bwYMH8/TpU/bt28fnz5/59OkTJSUl1KtXj/Xr12Nra0tkZCSzZs2isLCQn376SfRLlUol+ldubi6HDx9my5YtKBQKpkyZIvqylj///JP58+eLa9fKUPXq1SMzM5NPnz6J8aql4vxYr149UlJSSE5OZv78+Xh4eLBq1So+fPjAhg0baNasWaXjJScnM3DgQCH9X7hwgRs3bhAbG0vt2rXJy8sT6ddmZmaYmJgI+VahUCCTyejSpQtnzpyhrKxMJNoXFRVhbGzMjx8/UKvVDB48mN9//52WLVuyfPlyzM3NAVi/fj07d+7E2toaX19fMjIyePPmjUjQXr9+PX5+fvz555+sW7dOJIzr6ekJ+Wz48OHcv3+fly9fUr9+fSGLubq6MmvWLFq1asWcOXMqpYbr6ekRFhZG3bp1mT9/PmfOnEFXV5d69erx5MkT8dsrV67k999/Jz4+nkmTJrFp0ybkcjkFBQUEBwczffp0vn79ytixY5kwYYJIaNf2s23btuHp6UlpaSnW1tbEx8ezZs0aiouLMTQ0ZNasWaxcuZIfP37QsmVLXF1d+f3338X9VCqVTJ48mebNm7NhwwYuXboEINYHQ0ND0tLSRFq1loCAAPz8/Dh27BhFRUWUlZXh5+cnxE9ApKvq6elhbGxM1apV6dOnD127diUtLY1169Zx7tw5MaePGzeO1q1b8+3bN1q2bCnmg/PnzzN9+vRK/UpPT4+OHTsSGhoKwPjx47ly5Ypo/1q1ajF+/HiaNm1KfHw8Hz9+pEWLFowYMULM/fXr16dp06asW7cOtVpNkyZNmDJlCo6OjrRr1w4DAwMyMjJQq9WMGjWKQYMGYWVlxcGDB4mIiCA/Px8bGxvu3r2LWq3GysqKkJAQ2rdvzy+//EJMTAwjRozgypUrlJSUsGvXLqpWrcrp06cJCQmhQ4cOuLq6snv3bkpLS8W48/DwoFu3bvTq1QsTE5NK133q1Cm2bNlCUlKSmCurV69OcHAwV65cISkpiSNHjuDn51dpLh08eDAPHz5k586dfxmj/1uomLD64sULkpKSSElJQalU0rp1a8zMzAgNDeXw4cMANGzYkMGDBxMcHIyOjg7Z2dksXLiQS5cuYWJigo+PD48fP8bf35/evXuzc+dObGxsePfuHe3bt2f+/PmVjqvRaHj16hXLli3j/fv3ojgHQFpaGosWLSIoKIiBAwfy5csX+vXrR1paGtWrV0epVPL27Vvc3NxITEyktLSUOnXqoFAoeP78OePGjWPw4MGYmppy6tQpFi1ahLGxMdnZ2ahUKmrVqsXKlStxd3fn6tWrbN++XexRa9SowYcPH2jTpg0TJkzAw8ODq1evCmFdK0yvWbOGJk2a/KVdv3z5wqxZs3j27Blt27bll19+qSSsFxYWoqurK9Y+bUr2mDFjOHLkCJaWlhgZGYk08smTJzNmzBjgX8UFKva1hIQE+vXrx/fv3/Hw8ODgwYOYmpqKdl61ahVhYWF0796dV69e8e7dO1HQIicnBwMDAxQKBTt37sTf35+tW7dy5swZEhMTkclk2NjYMGzYMPr06cP58+dZtWoVOTk54nq1xUbKysro3r07ly5dombNmiQkJCCXy7G2tubNmzdA+RwVGBiIr68vR44cISsrSxSxWLBgAZcuXeLx48div6JdHwDRZ4KCgujZsyfr1q0Ta1e/fv1YuHAhy5cv5/fff0dHR4d169ahUCjYunUrb9++pVevXgwcOJDc3Fz69+/PkCFDGDlyJJaWlkB54ZkdO3ZgYmJCzZo1efPmDbm5ueL8nJyccHJy4vHjx2K9rlatGg0bNuTZs2fEx8ezcOFC+vbt+z8ei4WFhdy8eRMdHR3GjRsn5M5mzZqRmprKlStXKhUn0Y5bGxsbURxAi66uLsHBwVy7dg2ZTIaFhQV//PEHLi4uXLt2jXHjxjFlyhRGjRr1H8+p4vyQmprK4MGDMTc3Z8mSJXh4eADlhWQOHTrEH3/8gZWVFZMnT8bLy4t169Zx9epVatWqxZw5cwgICKj028nJySxYsIBXr15V6ktQvp7MmjVL7KV27drFqVOnSEhIwMbGBhsbG06cOAH863kOICoqil27dhETE8NPP/3E0KFDK8mwFdOkAdLT01mzZg1nzpzB3d2d7du34+joKPaVx48fZ8GCBQAMHTqU9PR07t69y48fP7C2tubLly9Uq1aNWbNmMW7cOFQqFQMHDiQ5OZnbt29TUlKCqampeP6YP39+pYRyQ0NDDA0NyczMZODAgdSrV49Jkybh6upKkyZNiI2N5enTp7i6upKZmcmhQ4dwd3cXz8RaYmJiWLBgAe/evWP//v00aNCAT58+sWHDBi5fvkxAQADv378nOzsbKC90MGDAALZv346vry+fP38mLy9PPEMqFApUKhW6uroYGxuTlZUlCgRULIhTs2ZNatSowfPnz/n27RulpaViXtJoNKxatUo890B5YYAZM2agUqmQyWTY29vTsWNH2rdvT506dcR3hw4dyuvXrzl//rwo3vRPZGZm8u3bN/Lz86lSpQoODg5inGiLKRQVFTFr1ixmzZpFdnY2np6eHD58mIcPH2JsbExBQQEdO3bk119/RU9Pj9WrV3P79m3q1q1LSEgIr1694uzZszx58gQALy8vRo4cia2tLTdv3uT48eNkZWWhq6vL5MmTGT58OGlpaYwaNYq3b9+KPb+Ojg4zZ84URZ40Gg1fv34Va0Xr1q1JT08nLi4OExMT0tPTOXjwoHhmz8vLE9cdHh5OgwYNAHj69CkzZsygtLSUHTt2iIR27fPY3z3LavfpgYGBtG/fXsxZ48eP5+rVq2g0GoyNjenevTtTpkzh9OnTnDlzhhcvXgBQo0YNwsLCsLW1RSaTkZqaip6eHmZmZsjlci5fvkx8fDyJiYl06tSJoKAglEol2dnZzJo1i5s3b9KsWTPGjRtHnTp1xHlFR0czZcoUAgMDWbJkCfr6+qKt/juFNSQkJCQkJCQkJCQkJCQkJCQkJCQkJCQk/nciJatLSEhISEhISEhISEhISEhISEhI/I+oU6dOpReNtRLxkCFD8PLyYsOGDWg0GiwtLVEqlZSVlVFSUiLEvZo1a9KlSxcGDhwoREnti/0FBQVCGnj69Cm7du3CzMyMqlWrYmtry8KFCysluxsYGBASEiISj7dv386UKVOIi4vj2LFj+Pj4YGNjI5KPHzx4wIcPH5g/fz5z587Fzs6Oc+fOMWfOHEpLS1GpVFy4cIHjx4/z8eNH8bJ5ixYt6NOnD3/88QdQLnjn5eVx4MAB5HI5s2bNQiaTVZIotCKiRqP5Syq9RqNBX1+fbt268eDBA5GQ6e7ujp+fHyqVirt37wrBEBCiOpSn1ctkMlq0aMG3b9+IiYnB0dGRpKQkCgsLCQwMJCMjg9evXwPQu3dvkUasfQFcK4pmZWWxdetWRo4cSceOHdm1axcfPnyodG8fPHiAsbEx8+bNo2/fvty7d48OHToAEBgYSO3atTExMSElJQUnJydsbGzYtGkTU6ZM4fHjx6SnpyOXy+nWrRuNGzemWbNmQj4eMWKEuLbExEQiIiIwMDDgypUrXLt2jdjYWHJzc5k0aRKxsbFcuXIFtVpNYWEhd+7coXHjxkJUkMlkODg4MG7cOH799VegXFg5dOhQJcm8Tp06+Pn5iRf//1PSbEXs7e3/UUqqeO+fPXtGZmYmHh4evHv3jpCQEGbMmMGTJ0+IiIigQ4cOJCYmUlJSws6dO5HJZDRu3JirV6/i4uIipBRDQ0NMTEyEhAFQt25dNmzYwOTJk4mMjBTp0xWFde13K97vimj//cCBAxw7dow6derw/v17fvz4Qd26dWncuDElJSUkJSVx5coVcnJyGDBgAFZWVigUCu7fvy+SGbt3745CoSA7O5vatWvj7++Pv78/WVlZfP36lfz8fExNTdFoNDx+/JjatWvz/v17vn//zoULF9i4cSOTJ0/m8ePH2NvbU7NmTSEZR0VF4eLiQkZGhpDLtHz79o2jR49SpUoV5s6di4eHB127diUiIoKYmBhiY2NJSUnBwcGBqlWrUlxcjJ+fH7Vq1UJXV5c7d+6wceNGnj59yrJly5g7dy5t27ZFLpczY8YMzp8/j5mZGQsWLBBCsI6OjkhYLysrY/PmzSJZvCJasUgrAQ0dOpRTp04J8UX7GQAnJyeMjIxwcHDgzp07ojiGrq4uLVq0IC0tjW3btpGZmcn8+fP/VoJNSUkhKSmJX3/9laysLHbu3Em1atXw8fER8qP2GrSioq2tLWlpaaIvnD59WpxTfn4+jRs3Ri6X8+nTJxo2bEiHDh2wsLDg4sWLREVFsWzZMubPn09ubi4HDhygadOmTJ8+HXd3d0pKSrh27RqhoaGkpqaycOFC1qxZQ69evYiMjOThw4dAeQqv9p/btm0DYO7cufTv35/ffvuNw4cPk5iYyMSJE6lSpQofP35EoVAwatQoMjMz+eOPP/j1118JDw8nNDSU2NhYYmNjuXfvnmibkpISpk+fjlqtZv78+TRq1IhNmzbh4OCAnp4et27dEgnphoaG+Pn5VZoPbt++zZYtWzA1NeXgwYN4eHiQnp4u5qzi4mKys7PZtGkTkyZNIioqio4dOzJ37lyWL19OWVkZurq66OnpYWtry+TJkykoKMDY2Jhbt24xePBgRo0aRZcuXSgtLa1UtODp06eVxPRZs2bRt29fWrZsKZJd9fT0kMlk2NraMnLkSFq2bImNjQ1qtRpra2umTp1KWVkZ58+fR61Ws3XrVrZv346HhwdyuZzmzZtXSg4H8PHxISMjg9TUVE6fPo2JiQnz589nw4YNDB06lIcPHwrpeMuWLQA0bdoUb29v1Go19vb2yOVymjVrxo0bN3j16hVqtZq6desybdo03N3dRRJ9SUkJS5YsISQkhJ07dwIwZcoU+vfvz08//YRCoUBPT49ff/2Vp0+fkpmZybJly4iIiBAFSDIzM3F2diYzM5MVK1bQsmVLDh06hKurK0OGDMHJyYno6Gju37+PRqOhWrVqxMfHi/lVy6tXr4iLi6N9+/Y0atSIz58/k5iYSNWqVbG3t8fZ2Zm3b9+SlJREbm6umEs1Gg0HDx7k4cOH2NvbC1nyfxsV06S3bNlCeHi42EsAhIWF0bZtWz58+IC+vj5BQUHcvXuX9+/f07hxYwICAsjOzhYScn5+Pt+/f6dRo0bcuXOHtLQ0Pn/+TFZWlpAToXKxD5lMhqenJz169GDhwoUcO3ZMyOq2traEhoaKe+Ls7Ez79u05cOAAHz9+xM3NTaR229vbk5KSwqtXr+jZsydfvnzBxsYGU1NTnj17Rnh4OPb29hw/fpxTp07x22+/8erVKzZv3syECRNo3bo1arWaffv2ER0djYWFBd7e3iIdffz48SIpduvWrbx584asrCxGjhzJtWvXsLe3r7Suuri4EBoayqxZs4iMjASolLBuamoqBN3v37/j4uJC586dCQ4O5uHDh7x8+VLs9/r16ydE9Yr7irS0NCFvV61alUOHDjFw4EDi4+NZsGABGzduRKFQEB0dzaFDhwgMDKRLly6kpaWRnJxMw4YNuXr1KgYGBhQUFGBtbS0KD12+fFlcj3bPEBwcjFKppEuXLgAsWLBAFJEpKSkRibjp6eksX76chg0bsnXrVsLDwykpKUGpVFJUVIRKpeLevXv07NmTo0eP0q9fPzIzM1Eqlbi6urJu3TpCQ0O5cOEC+vr6ODk50bVrV1EY59ChQ9y7dw9HR0dmzpzJihUrSEtL49atW1y6dIm5c+dSVlbGwYMHycjIoH///kD588Aff/xBfn4+AQEB6OnpceDAAfT19Rk8eDAZGRmcOXOGxo0bM336dLy9vXnw4AHHjx/n3LlzmJmZkZycjL6+Pi1btuTatWtAearyp0+fkMvlYk9csd3+O5SVlXH16lVmzJgh9iRubm4EBQWhr6/PkiVLRIEW7Xqg/ad2rt2zZ4/Y15eWlnLv3j2USiW1a9fmyZMnxMTE4OLiQqtWrbh69SrOzs7/5Xlq54dr165RUlLC58+fGTp0KB4eHmg0GtRqNc7OzgwbNgx9fX3CwsI4evQo+/btY+7cuSgUCi5fvsysWbM4cuRIJfHY0dGRnTt38u3bNy5dusSHDx/IysqiVq1a+Pv706hRIwDWrVvHrl27UCqV6Ovrk5GRQVpaGnv37mXYsGHo6uqKcdGyZUtkMhk7d+7k0qVLqFQqhg0bho+Pz19EdSgX/adNm0ZeXh5BQUE4ODiItX758uUcP34chUKBl5cXM2bM4Pv370RGRrJ9+3bS09NxcXHh06dPhIaGMmLECHbv3k14eDhQXjDA1dWV9PR0Vq5cyd27d4mPj690/KKiIpo3b87du3d59uwZc+fOpU+fPhw7doyGDRvSunVrtmzZItb9L1++4Onp+ZfrqFOnDu3atSMuLo4nT55gYGDA+PHjcXFxQV9fX+w1jYyMKCgooFq1ajg6OoqCUdrCa2ZmZgQEBPDt2zdiY2MpLS3FxsaG/v378/PPP2NmZoa5ubkoaPX27Vsx/1dEo9HQtWtXOnfuXKmPdezYkejoaA4cOEDjxo1ZvHgx1tbWKJVKsc+6f/8+0dHRNGzYUDw3/yesrKz4+PEj69evZ/jw4Tg4OADlhakuXrzI1KlT8ff3x9raGj8/P7EvcXJyYuXKlTx58gRjY2MuXrwIlP+3i+nTp6PRaLhz5w4LFy5k0aJF6OjoiGJ2+vr6eHt7U716derXr0/9+vVZvnw5CQkJHDp0CH9/f2rVqsXo0aO5desWX79+xd3dneDgYIKDg4F/PWdWXCuuXr2KQqGgdu3a9O3bl9mzZ3PlyhUePHhAXl6e2A+am5szbtw4OnTogI+PD4cOHSI5OZmFCxdSs2ZN0Tb/6Tm2Q4cOJCQkcOvWLR4+fMjt27eZMGECvXr14uPHj3z69ImCggIOHjxIdHQ0AwcOZOPGjSxatIgbN27g4eHBhw8fuH//Pt26dcPGxkYUUdGK8FrOnz/PsGHD6NWrF66urowbN46SkhJu3rzJmzdvGD16NLa2tmRnZ3Po0CG+fftGs2bNhKgOSKK6hISEhISEhISEhISEhISEhISEhISExP9xJFldQkJCQkJCQkJCQkJCQkJCQkJC4n9MRdlBK4w5Ozvz4cMHbty4gY+PD7dv32by5MkEBATw22+/ibQxU1NTgoODKyVFOjs7Y2BgwKVLl5g/fz4ODg788ccfpKamEhISItIzu3fvTkxMDGfOnKG4uJiioiJevnxJSkoK1tbWeHp6sn79eqZMmcKNGzdYsGABkyZNwtPTk+fPn7N7927s7e0pKiqitLSUgoICOnXqhFqtZt68eZSWlvLixQtMTU3p2bOneHk9MjKS6tWr06RJE27evImurq542Xz//v0iFVArxVd8yVoriHXv3h1zc3MiIiJwd3fH3d2d5s2bs2vXLtauXQvAlStXOHPmDPr6+hw5ckSIcNqUtn+/B0+fPmX58uXcunWLQ4cOib/bs2dPpeTCrVu3kpGRgYODAykpKZSWlmJlZUVaWhpQLvUolUpGjx6NqakpCoUCJycnfvz4QUZGBsHBwYwaNYqAgABkMhmBgYEiXfTIkSMsW7aML1++oFAomDVrFh06dMDGxoZ169Yxffp0Hj58SGpqKsXFxULk016TXC5n4sSJQHnqoUKh4NKlSzx58oSAgAD69++Pr68vzZo1Iy0tTSS4aTQarly5QuvWrUWCo7aNLCwshHibkJCAra0tvXv3/lvR/L8rqv9736+Yig3lMrBGo2HDhg2EhYWhVqvR19fHysqKjIwMVq9ezciRIzl06BARERFUr15dFAXYsWMHR44cIScnh7Zt24piDK6urjg5Of3lHOrUqSOE9cuXL6NQKAgNDf3b/vdPL/xrRVRbW1sWL16MSqViypQpxMTEEBMTIz6nr6/PoEGDOHToEGfPnsXGxobXr19TXFzMnDlzRBJmxePu3r2bCxcuUKtWLQoLC/n48SOBgYG8fPmSly9f4uPjw8ePH0Xyp/ZaHj9+jIWFBWvXruX69etERUWxbds2Xr16xfLly7G2thb3Kz09na9fv/Lrr7/i4eFBWVkZTk5OjBw5EigX+3bs2MHhw4fZtWsXZWVlBAUFYWBgAJQXhujfvz8rVqzg9u3bLF++nPnz59O6dWtWr17NjBkzOHTokBDS/l1YHzBgAE2bNq1UuENLr169iIuL4+DBg5SVlfHgwQNWr17Nq1evOH/+PHFxcUJC0QqzM2fOZNKkSWzbto3Hjx+Tk5PD9evXuX79OtWqVWPatGn07NkTqNxny8rKRL+/d+8eRUVF1KlTh5iYGLy8vMR5a0U3KBf9K4qk2gR4KJfnc3NzuXv3Ll26dGHdunXo6+ujp6eHSqUiNDSUpUuXcv78eRQKhSgW0bhxY4yMjFCr1bx9+xYDAwNGjx7N4sWLSUhIYP/+/Tg5OfHo0SNq1KhBRkaGSP2s2Fc1Gg06OjpC0jt27BgqlYq0tDSWLFmCk5OTmHtKSko4ffo0gwYNomfPnsTFxWFtbU1GRkal31Wr1RgZGdGkSRNcXV3x8vIiOjqagIAALCwseP78OQDDhw8nMDBQtG1iYiJGRka4uLjw5csXfv31V1atWoWtrS2Ojo4kJydTWlrKnj17GD58OFu2bGH8+PFcvHhRrAkrVqwgLy+P9evXk56eTrdu3ejWrRsHDx6kqKgIV1dXzp07x/fv3yulaEK5aGZgYECjRo1o3749zZs3R6FQYGlpKWT1Hz9+iHn91KlT2Nra0qJFC9GWtra2zJw5E41Gw4ULF7Czs8PW1pbY2Fh27txJWVkZ9erV48aNG7i5ufHhwwcsLCwIDQ1lxowZxMbGitTmiRMnsnbtWtq0aUNhYSEajYaXL1+ya9cu1Go1TZs2RaFQUK1aNdG3PTw8RNETDw8PatasiUajoaSkBJlMRlFRES1btkRXV5c5c+awc+dO1Go106ZN49u3byQlJdGqVSuWLl3K1KlTiY2NJT09nUuXLgkR8tSpU5Xm4xcvXpCfn0+3bt0wNDSksLBQjHtjY2NWrFiBgYHBX6Tyx48fExoaSmFhIQMGDMDOzo769euL+S08PPxvhXSZTEb9+vXx9PRk3bp12NnZ/WVO+N+Atl9v2rSJbdu24e3tzfTp0zEzM+P06dMkJCQQFhaGjY0NJSUltGjRgjp16nDkyBHOnj3L2bNnkclkWFlZMXToUMLDw0Vit6enJx07dsTJyYk1a9aQmZlJTEyMkEorzll6enq0bt2anTt3kpCQQFFREUqlEkCI6ocOHaJbt27MmzcPQ0NDduzYwYcPHyoJ61WqVCEpKYnTp0/j4eHBp0+fWLFiBZcuXSI1NZXZs2djYmKCv78/UC7Da0XyCRMm0LZtW2QyGdu3b+f58+e0atUKmUwmPqMV1tVqNStXrsTS0pK2bdsKOfLf+a+EdXNzc7Kzs7GysuLr168cOXKEqKgoXF1dUSgUlJaWMmnSJMaOHQtUFtV///13zpw5Q15eHiYmJsydO5d69epx+PBh+vXrx+XLl1m0aBE+Pj7o6Oigr6/PhAkT0Gg0REdHU7t2bSFkZmRk8OLFC4KCgjh37hyXL18W64QWc3NzCgsLKS0tRU9PjyZNmgjJHRDispOTE3fu3MHe3h53d3d69erFkSNHxNyuFYs1Gg3Xrl2jU6dOHDp0iAEDBpCRkcHBgwfZtm0bTZs2JSUlhSdPngjhumXLlgCYmZmxbds2Uehp6dKlnD17lgsXLrB3716USiULFiygffv2+Pn5AYj7tmrVKnx9fenfvz9GRkasXr2anTt3YmRkhK2tLSkpKSxbtgxvb28AGjZsiIWFBbq6upw8eVL0n8mTJ2NiYsLp06fFNTk6OopCC//TfaRCoaBBgwbUq1ePFy9eUFpailKpZP/+/UB5gaipU6eKIlcV1+8LFy6wbNkygoODuXTpEnv27CE/P5/CwkIcHR3x8vLiyZMnZGZmiu9oRfX/znmeO3eOGTNmULt2bczNzbG1tQXK9xraohPW1tb07t2bly9fcvfuXY4ePUr//v2ZNGkS+fn5NGrU6G8TsnV0dHB2dmb48OHizyqe06tXrzh69ChNmzZl4sSJ/Pjxg9u3b7Nnzx62bNmCiYkJvXr1qiSsa9e7zZs3c/HiRbp37/4fr8/W1pa1a9eio6Mjij9ERkZy69YtCgoKxFj49u0b9vb2dOrUCYVCwZYtW0hPT8fZ2ZlPnz5x+fJlBg4cyO+//46dnR3Dhg3DwcGB1atXs2/fPnG9TZs2pX///kRHR3PhwgUiIiLQaDQUFRXx5MkTmjdvzp07d9i9ezcHDx5k0qRJbN++nfv37/P777/j7u6Oq6urOH/tdWvTtNPS0vj+/Ts/fvzgyZMnaDQa7O3tCQwMpGnTpuzZs4fXr19jbW3NgAED2Lt3Lx8+fEBXV5e5c+fSvn17UlJSxJj58OGDEPlLS0tZuHAhlpaWnDp1ipycHFGop+Ka27JlS1auXIlGoxFFs7TnGRAQQHh4OFWrVsXZ2ZmkpCScnJyQy+U8evSITZs2UVRURJcuXcQ6/Z8oLCzk6NGjPH/+nJiYGFq0aCEKE1SvXp1u3bpx9uxZ1Go1N2/epHbt2kD5/mPOnDmsWLFCCOsXLlzgx48fTJgwgSlTpqBUKrly5QpfvnxBrVajVqupVq0aMTExLFmyhOXLl4v98cSJEzlz5gy3b9/m+vXr+Pv7065dO9q1a/eXcaZWqyu1l3atmDRpEq9fv+bz58/o6elRo0YNDh48iEqlQk9Pj0aNGqGvr8/t27f58eMHx44dQyaTYW5uzoIFC/5HhTLc3d1ZtWoVT58+ZeXKlURFRfHmzRtatGiBp6cn2dnZZGZm4u3tTUZGBrNnz6Zx48YMHDiQxMREXr16RUREhOjXP/30E1C+Nu3cuRMfHx969OhBUlISJ0+eZO/eveTm5jJixAjq1KnD/PnzCQsL48SJEyxdulScl5GREfPnz6djx47/5b2XkJCQkJCQkJCQkJCQkJCQkJCQkJCQkPi/gySrS0hISEhISEhISEhISEhISEhISPyPqfhStKenJ0ZGRnz8+BErKys0Gg2xsbEEBwfTvn17MjMzRcqmRqPh4cOHdO7cmXPnzuHm5gbwt8njAP7+/iI1XaPRsGnTJo4cOYKZmZlIDT516hTfv39n2rRpuLm54enpyYYNG5g2bRo3b94kLi4OMzMzPn36RHFxMfb29owZMwY7OzsCAwOZMWMGXbt2JTo6miNHjojra9myJc2bNyc7O5tBgwYRHx+Pra0tCoWCDh060L59e3R0dJg1axb79u2joKCAJUuWVGqbiknXv//+O6dOnSI2NhYnJyeCgoLw9vYWUo+Ojg6lpaUsW7YMfX19VCoVpqamuLm50aRJEzZv3gyUJ2ZbWFiQkpJCZmYmISEhLFq0iCdPnhAXFweUJ69XfDE+PT0d+JfkUFpaSlpaGk2aNCEjI4PY2FjWr1/Pw4cPiYmJwdzcnBUrVhAaGkpWVhYDBgygXr16QOWU1LVr17J7926RaJ6cnMyUKVPIycmhd+/e2NrasmbNGkaPHs3Xr185duwYenp6jBgxAltb20oFC6A89XD69Ono6Ohw8uRJzM3NGTZsmEjbs7a2FimakZGRfPnyhW3btjF79mzc3d3F9WqT6gHq1asnjqPtRxX78P9EMKr4vb8TA/bv38/OnTtp1qwZw4cPx8PDg+zsbJE8uWvXLsaNG8fJkyeFqK5FW1zg2LFj6OvrC6lHe84ymUz0J7VaLYT1adOmcfHiRXJzc8W9+O+QmZlJfHw8P//8MzVr1kStVv8lgd7FxYUPHz6QkpKCo6Mj6enpxMTE4OfnR+/evfnpp58qpdpr5dUjR47g7e3N5MmTycjIYPny5bx48QKZTIZCoeD169fUqVOH+Ph4tm7dikqlYsOGDYwdO5aYmBguXrzIxYsXMTIyEgnU2iRva2trIbsCQp7TjjPtudjY2DBo0CAuXLjA06dPKSsrQ6lU0rBhQ3bu3ElkZCQJCQlCvImMjEQmk/1FWNemZmqFde0YMjMzE6J6RTFF+/87d+7MwYMHAXj58iVLlizBw8OD+Ph4atasSU5ODsnJybx79w4oLzCxYsUKtm7dyvv370lNTSUxMRE3NzccHR1xcXH5S1tr5TGtFKZNFtemE2olYa18ZWZmRn5+PmVlZZXmB62oLv9/2DvvqCiyvH8/3TQ5iQRBQFEkqiiKEbOIWccxO2bHnDCBgCgqGFDBnDCnUcQMqCiYEcXsiBETqKAoCJLp7t8fnK4FdWZnZmd33/f91XPOnh2R7rp1695bt2bq+X6kUt6/f0+XLl04fvw4tra2FZKn1dTUaNKkCQEBASxYsIBjx45x69YtSkpKWLJkCSdPnqRr166EhYVRr149li5dytWrV4mNjSU+Ph5NTU1sbW0JDQ2lRo0aHDhwgPr167Nz505OnDiBUqkkNDQUe3t7mjdvzrx585BIJOzfv58vX74I0qRKzl+8eDESiYTDhw+zb98+qlSpQnh4OBs3biQmJkZI/tXQ0CA/P58hQ4Zw6NAhpk2bxpw5c4T0UlX/1KtXT5hf69atY8+ePRQUFFBcXIy2tjaZmZmMGjUKDQ0NYfwB5OTkCML6unXrmDhxItHR0SgUCiHVNjc3lw0bNhAeHi6Ih97e3nh4eDBz5ky+fPmCuro6rq6uXL9+HShLWJ40aRIaGhpCcY+AgACePXsmtFOpVPLhwwdatGjB5cuX2bx5MxKJREhMVygUmJqa4uPjA0BMTAwmJibUq1ePpKQk1qxZQ+fOnXnw4AF+fn7s3LmTK1eucObMGfbt28eZM2fw9fVl/fr1KJVKpk6dirOzM+/evRNSfW/evElubi729vZYWVnRo0cP9u7dS1RUFFAmB2ZlZZGUlMTZs2fx8PDgxo0bpKWl0alTJwwMDOjRowdSqZRZs2axefNmnJycmDVrFqamplhYWODs7Mz27dvp1KmTsFaqZPxp06bx9u1b4uLiePfuHVlZWQAcPXqUY8eOERoaKox3U1NT7OzsBDm6/NytU6cOAA8ePPhmvfxnQrqjoyMREREVkkH/J3L16lW2bduGi4sLQUFB2NvbM2/ePO7du0fDhg15/vw5JiYmfPz4keTkZBYsWMCPP/5IQkICnz59ombNmlSpUgUNDQ12796NpaUlT58+RSaTMWzYMNTU1NDQ0GDJkiXcvXuX8PBwxowZg0wmQ6FQCPenypUro6enx+fPnytI0gAHDx5k4cKFfPjwAS8vL6ZNmwYgCOvW1ta4urpy+/ZtatWqhYWFBZcuXSI5ORmlUomlpSUBAQFCwrZKMJ44cSLHjx+vIKx36NABiUTC2rVriYuLo0OHDkDZ/UAqlTJ+/Hg8PT1xcnLCwsJCKEqjKiL0Nf9MWNfX1yc7OxtDQ0Oys7N5+/Yt6enp1KtXj4EDBwrJxHK5XBDVV61axYYNG5DJZBgbG5OcnMzo0aMJCQmhQ4cO7N27l0GDBgn7Vw0NDZRKJffu3ePs2bPk5eXRq1cvatSoQUhICCdPnuTu3bt8/PiR+/fvU7NmTeRyOa9evUIikSCTyXj8+DHbtm1jwIABvH37Fj09PfLz81FTU0MikVBaWopSqcTZ2RkDAwNh3960aVMUCgV6enrC2lNQUMD79+85d+4csbGxeHp6sm/fPn766SfOnz9Pr169ePz4MY6Ojmhra5OSkkJYWBg2NjbUrFlTuEbr1q3j0KFDSCQS+vbti1KpJCYmho0bNwLQpk0boKyIiYaGhnCvVz1n9OzZE6VSSUhICKGhodjY2GBtbS3sbVX3dgcHB0aMGAHA4cOHefjwIXfv3mX69Onk5uZSu3ZtHjx4QLNmzbCysvrTorqKxMREbty4gZGREZ8+feLdu3fMnDmThIQEEhISmDx5Mm3atBHGj+q+kZ+fT7t27Vi2bBkdOnRAqVSyfft2srKymDx5Mk+fPkVLS0tYz8rzR9rZuHFjunbtSlxcXAWhWrXvV2FhYcHo0aNJSEjgxYsXQJksvHLlSmHf8FsSbfl9jOrvnz59ysePHykpKWHSpEkVJGMdHR1Wr17N8uXLUSqV9O/fv4Kw3qZNG4qLiyktLaVly5b/9Bw1NTWF54Lhw4eTlJREtWrV0NfXJzc3l0ePHpGQkECvXr3Q09OjU6dOAKxdu5bMzEysra15/vw5Hz9+RE1NjbCwMFxdXSksLOTt27dcvnyZy5cvs3TpUtq2bYuuri4tW7ake/fuHDp0iPDwcIqKipg2bRo1a9aktLSUp0+fsnnzZiZNmoRCoaC0tJRbt26xf/9+hg0bhrm5eYV1QVV0qE6dOrRu3ZpTp06Rnp6OUqnE2NgYCwsLYczs37+f+Ph4cnNzycnJAcrGe0xMDDVr1qRmzZqoq6ujr69PZmYmQ4YMYdu2bTRu3BipVMrUqVOpXbs2CQkJHDp0iMLCQuAfye15eXmUlJRU2IeXb6dMJqNRo0bcv3+fSZMm4eDgQKVKlTh//jw5OTnMnj2bzp07/+6YUaGtrc2wYcOoW7cuvXr1Qk1NjRcvXlCjRg0cHR0ZOXIk2tra/PLLL+zevZuaNWvSpUsXNDQ0KgjrSUlJaGhoEB8fz4cPH3B2dmbgwIH06tWL9u3bs3jxYgB++uknTp8+zdWrVxk8eDBKpZJ3794RGhrKiBEjSEpK4pdffmHw4MGYmZkhkUi+Gdvl592hQ4dQU1OjR48ezJ07l6FDh/Lx40e2b99OUVGR8IxdUlJC3759adGiBfv372fx4sVYWloydepUbG1thfn9R9cfNTU1Yf1eunQpt2/f5ujRo/zyyy8YGRkJRexSU1OZO3cu0dHRXLx4kRs3bqCrq8unT5+E++7MmTORy+X07NmTuLg4HBwcWLJkifAcXrduXTZs2MDBgwdRKpX8/PPP2NraEhwcjIeHB2/fvuXhw4e4urpSs2ZNocjIX11LRURERERERERERERERERERERERERERET+5yHK6iIiIiIiIiIiIiIiIiIiIiIiIiL/Ei1atGDatGm0bt1aSKpTyenR0dEcOXKE1NRUTExMcHR0xMzMDHt7e0EgUdGrVy9sbW05efIkJSUl7Nmzh9u3bxMUFISfnx+vXr1i3759tGrVCi8vL5ydnbl37x6BgYFcuHABuVyOt7c3tra22Nvbs3LlSlasWMG9e/d49OgRlSpVori4mMzMTNTV1cnIyODYsWM8e/aMDRs2CC9JSyQSPn/+jLe3N15eXnz58oXHjx/j4uJCTk4OEomE6tWro1Ao8PDwYMmSJUyePFkQi1WoEtUBli1bxtatW9HU1KRmzZrk5OQQGRnJ58+fcXNzQ09Pj44dOxIbGyuIBDKZjJycHIyMjGjYsKEgZuTn51NQUECTJk1ITEwkIyODpUuXMn36dM6ePSskyqkwNzcnPT0dgMzMTCE5vbCwkCtXrmBmZoaBgQE5OTkkJCQAZWLehAkTyMnJwdfXl9atWwvfpxJW1q9fT3h4OI0aNWL8+PG4urqyY8cOVq1aRWBgIHK5nEGDBmFmZsbevXu5cOECISEh7Nq1C7lczpgxYzA3N/9GSjAzM8PLy4tPnz7RuHFjQVSHshf+zczMmDt3LgqFgrNnz3L58mXmzJnDuHHjaNu2LTdu3GDVqlXC79erV084p/L//3fz4cMHjh8/jrGxMV5eXkJSp6GhIT4+PlhaWrJs2TLWrVuHn58fampq3L9/n8ePH/Ps2TMKCwvR09OjV69etGnThgkTJvDhwwdOnjxJgwYNMDIyQkNDQzgvKEtYDwkJYdSoUULq/R8lIyOD0tJSsrKyBMnE3Ny8Qvp8Tk4Offv2RVtbmzVr1mBkZMTnz58xNDQUrkt5aU+hUJCamsrbt2+pW7cuoaGhghBevgDF8+fPuXfvHrVr1yYlJYVVq1Zx9+5d6tSpg7GxMYcPH+bdu3f4+/vj4OBAUFAQp06dAsqkcVNTU0xMTFBXV+fXX3/l9evXVKtWDfjH9ZXL5djY2NC2bVtOnjzJnTt3WLduHefPn2fXrl00aNAAPz8/TExMuHXrFvHx8Zw+fRqJRIK/v/83wrpUKsXX1/e76fXl5QqVVGxtbY2VlRWFhYVkZWXx4sULQehKTk5GTU2N3r17k5iYSFpaGnfu3BGEvVq1alGrVi3c3d2F75XL5UilUuFYWVlZGBkZUVBQQERERAX5vFatWrRs2ZJdu3YJgqGDgwMPHjwQ1iQok1eqVq2KhoYGKSkpgkx0/PhxBg8ezNixY4VrrOpbNTU1GjVqJBQXefHihdCmO3fucOfOHWQyGQ0bNqRKlSrMnj2bhIQEvnz5Qn5+PlOnTqVatWpoaGgwZMgQ1q5dS1RUFC1btkRHR4fY2FhGjx7N+vXrad26NQEBARQVFaFQKITEVKlUKkhqixcvJiMjgytXrvDhwweys7NZunQpOjo6REZGAmVSlo6ODpmZmfTt21eQ25OSktDR0SE3Nxc1NTU8PT1RKBRs2bKFdevW0bhxY4YOHYqFhQVLly7l2rVrQvL78uXLOXHiBLGxsSiVSnJycti2bRvDhg1j5cqVeHl5cfLkSSwtLTE2NsbKyop79+6hq6tL9+7dcXd3F5KDXVxcOHfuHJ07d2batGkMHz6cV69eER4eztu3b6levbogvL979w74h8CXkpJCdnY2xcXFdOzYkdOnT7Np0yagTN5UjcevhXVLS0uUSiUPHz4kPT0dXV1d6tSpg6+vrzDmtbS0BGnT19eXDRs28ObNG3799VemTJnC8ePHef/+PdnZ2RQVFXHnzh309fWpVq0aCxcuxMfHh7y8PFxcXNDR0SE6OpotW7bw9OlTLly4gFQqpXPnzsI9pXv37hQUFFBUVESjRo1wdnZGTU1NkOHfv39PUVEROjo65Ofnk5mZKawpP/74I2PHjiUvLw9fX1+hOELv3r0FAVY1hnV1dSsU/1DN55o1a6KhoSF879fz/J8J6f+TRfXk5GTev39PWloahYWFjBgxAnt7e7KysoiLiwPg1KlTtGzZkiFDhhAYGEhERATm5uZMmDABJycn3r9/T+vWrZFIJMTExAjp3XPmzKGkpIRt27Yxfvx4QRpesGABe/fuxcDAgH79+gkStUQi4erVq7x+/RpPT0/09PQq9HXLli0xMTHhwoUL9O7dG2tra6ZNm4ZUKmX9+vWkpqbSrVs38vLy6N27NwMHDiQlJYWPHz+ipaWFpaWlkH6+Z88eDh8+jKOjI+3bt8fd3b2CSD558mQ8PDyAMhH1zJkzdOjQAalUyqlTp8jNzWX58uVYW1sD/1gLf0+o+1pYl0qljBs3jo0bNwrCem5uLqampmRmZtKgQQPmz59PzZo1gYp7x5SUFI4dO0arVq0YO3Ystra2LF++nMjISLy9vVm6dKkgfw8cOFCQfZVKJStWrEBHR4c5c+bwww8/AGVyqZubG1WrVhX2e1C2r5syZQovX74kKioKdXV1oqKiOHPmDEVFRdja2mJubk6NGjVISEhAKpVSp04dVq1aRXx8PGvXruXQoUM8fvwYhUJBnz59UFNTY+vWrfTu3Rs9PT127dqFt7c3AJ6enuzdu5effvqJR48eYWJiwqtXrygsLMTGxoZ+/foJEq9MJhOu0bp164iMjEQqldKvXz+gbD0rv+ZpaGiQkZHBunXr6NSpE9bW1qirqyORSOjVqxcSiYSwsDBevXqFTCYjMTGR1q1bo66uLjwH2NvbC2vfkSNH2LRpE2PHjmXFihVoa2tTUFAgFLz4K3tKuVxO06ZN6dq1qzAWMzIyOHHiBNOmTaNXr15ERkZy/PhxZDIZXbt2FQq6ALx584ZBgwYJx9bU1MTf359q1aoRFhaGlZUVxsbGf7pdAFWqVMHHxwcNDQ2ioqK4fPkynp6eQnEe+IdUamRkhFKp5OXLl0Ixin8mqsO3+/GwsDC2bt2Ki4sLlSpVwtnZWfi8kZERP/30E0qlkjVr1rBixQqAb4R1T0/Pb9r3W32vml8zZswgMTERgBcvXgjFGuRyOX5+flSuXJnWrVt/I6xnZGQAZUWmTExMhJTz2NhYFi1ahKmpKVZWVnh6elJaWkp+fj46Ojq8f/+eGzduoKamxvDhw4mJieHatWtC2yIiIhg0aBCNGzdGqVSyatUq9u7dS0lJCQMHDhSem2/dusXevXvR0tLCxsYGAGNj4wrXXKlU8uDBA5YtW0aVKlUwMjISCuFoaWlhb2/P2bNnUSqVjBo1CktLS2GPqlAoGD58OG3btqV9+/bcvn2bixcvCvfG+vXrM3PmTAwMDJg6dSrXr19n8uTJrFy5Eh0dHaENKtne2NgYa2trMjMzyc/P5+LFi0BZ2refn5+wPv1RWdnFxYU6deoglUoJCQnh7NmzzJkzh1atWmFvb8+AAQOQy+VERESwYcMGNDQ08PDwQF1d/RthHcruj/fv3yc7OxuJRELLli2pVKkSUFYcYs6cOSxatIjr16+jra1dIQncxcWFmzdvUlxc/N3nzPLnFBERwdy5c4Gy++3AgQPp3LkzR48e5e7du8JnSktLmTFjhrDuGRoaIpFIGDJkCD179qxwjf+M3B0WFsamTZto0qQJnTp14pdffmHNmjUcPXqUrKwsYX3ZtGkT+/btIzo6mvPnz3Px4kUkEglFRUWMHj2a8PBwfHx8yMrK4v379wwfPhw7OzthLqr2dWvWrCEyMhKJRMLQoUOxs7Ojbdu2322bKKqLiIiIiIiIiIiIiIiIiIiIiIiIiIiI/N9ClNVFRERERERERERERERERERERERE/iWMjY0ZNGgQUqmUlJQUQbS5cOEC58+fR19fn759+xIZGUnnzp3p3bu38CL31y8nu7i4CEKESoLfs2cPWlpaNGvWjKKiIsaMGYOzszNyuRwXFxcWLVrE/PnzuXz5MoAgrNva2rJkyRI+f/7M7t272bVrF1ZWVqSmpmJgYICOjg7Z2dk8ePCAkSNHAmBlZcW4ceOYN28enz9/Zv78+UDZi/2PHz+mqKgIQ0ND7ty5Q//+/QHo0KEDZ86cEWQmFarzCg8PZ+vWrbi7uzN16lQcHR25evUq8+fP59y5cxQUFDBq1Ci6d+/ODz/8wLBhw4RUPYD4+Hjq1KkjvESuehG8U6dO3Lx5k5KSEl6+fMmMGTMwMzOr0AY/Pz/at29P165dKSoqQqlU8uXLFzp16sSbN2949OiRIF2UR19fn86dO1OvXj3atGnzTZLojRs32LlzJw0bNsTf3x9HR0cAOnbsyP79+8nIyGDhwoVIpVL69++PtrY2nTp1QiKRsHDhQvbt20enTp0wNzf/7pgyMzMjLCwMbW1t4FvpxdTUlMDAQADi4uK4c+cOEydOFCRGVZqgr68vLVq0+O4x/m5yc3N58eIF7dq1w8nJSbheqvkwePBg8vPzCQ0NZdGiRYSEhLBo0SJKSkq4efMmixcv5vHjx7x79w59fX0sLS25desWt27dwtDQEEtLS2rXro2LiwtVq1alYcOGlJaW4urqyunTp4V07X+WSqiiVq1amJub8+rVK0EwUAnRKpFTS0sLBwcHYmNjSUtLw9raukLxAJVIpkIqlfLgwQOUSiWnT5+mYcOG+Pn5cfPmTY4cOYKRkRG3b9+mUaNG/Prrrzx48AAnJydevHjB+fPn0dXVxdjYmPr16zNx4kT69OmDQqHAx8eH0NBQTp06hUKhwN/fnxo1atC5c2eOHz9OdHQ0Y8eOFcanKnEcIDs7G2NjYxwcHIiPj+f+/fvUqlWLwMBA7O3tgbK1pmfPngQEBFSQ4lXC+uzZs9m5cyd5eXkEBQX90/6VSqVoaGjg7OzMmTNnMDEx4cOHD0DZeunh4UHHjh1xd3dn9uzZpKWl8eLFC3bt2sXIkSOpVauWMHakUmkFuerI4MBISQABAABJREFUkSOcP3+emzdvYmxsTHZ29jdz+MGDBxQVFVFYWIi6ujrFxcVkZWUJ1xX+kSbu4+PD6tWrgbJU1Hbt2rFkyRJBgFKld6uOX1pairq6Om5ubgQEBLBkyRKePHkiyIClpaWUlpZy5MgRtLW16dixI82aNePMmTMA6OnpCfN67dq1rF27lubNm+Pl5UWdOnVo1aoVGRkZTJ06lW3bttGgQQMhQV11fIlEIoiFv/zyi1CMQ6FQMGzYMLp164a3tzd5eXkYGxtTWlpKZGQk6urqvH//nh9++IF9+/bRsWNHIQUTyuZOSkoK+/fvx8rKSiiWcOnSJVJSUoQ+y8vLY968eYSFhfHy5UuePHmCUqkkOzubNWvWcODAAXbu3MmwYcNIS0ujatWqhIWFMWPGDG7fvk337t2pX78+CoWCrVu3smfPHiwtLZkyZQpVq1ZlyZIlDB8+nKKiIqKjo78ZXz169CAuLo4RI0ZQXFxMXl4e7969IyAgADU1NWJiYti6dSsKhYJ27doJ80IlrKupqXH06FFBuszOzgbK7jVjxoxhwoQJrFmzhpUrV/L8+XPGjh2Lv78/QUFBHDt2DKlUypMnT3jy5Ana2tpUqlSJ169fExoaSmZmJr1798bDwwM/Pz8WLVpEXFwcdevWpWrVqty5c4e7d++iUCjw8/MTCgSokkhVAurGjRt5+fIlOTk53LlzB6VSScuWLZk5cya1atVi+fLl/Prrr0CZkDx+/HiMjY2pVKkSbdq0IT4+nqKiIiIjI9m3bx9Qdl958eIFM2fOZNmyZaipqVWYW/fv36e4uFiYf9/jf7KQ/jWqc0tJSaFPnz7Y2dkJ9wnV/FYVrsnNzcXd3Z3p06dTo0YNQeJfvXo16enpREZGYmdnh0QiQU9Pj507d6Kjo0Pz5s0xNDTk48ePZGRkIJFI0NDQEPYN8+fPZ9WqVTx//pwJEyagqanJ3bt3Wb9+PYWFhbRv3x6gwvw2Nzdn5MiRhISEcPToUSZPngzA1KlT0dHRYcWKFWzcuJHp06czbNgwoKyQgOo77ty5w/3797l69SpRUVHo6OiwdOlS4dy/Tj7/nrDu6enJly9faNWqFUZGRkKf/lExWSWs+/n5CdK7qsDHrVu3MDAw4MOHDxgZGdG2bVtBVC8/HqGsKMnbt28JCgqiYcOGAAQFBaGjoyPI30qlEk9PT/bv38+AAQP4+PEjUqkUPT09hg8fzo8//ih8t0Qi4f79+7x79w5jY2Nyc3Pp0KEDXbp0oVWrVnz+/JmHDx/y9OlTAIqKioAyaV4ikdC4cWNsbW1JSUnB0tKSS5cu0aZNG169ekVWVhb3799HIpHQokULqlatyr59+3j37h3h4eEA3wjr+/bto2/fvmRmZtK0aVNu3bpFaWmpcK1Uxa/KC+sbNmwgIiKCL1++MHHiRIBv1jxdXV3i4uK4efMm8+fPx83Njf379+Pm5sYPP/yAXC5n/fr1vHnzhrNnz+Lo6EiVKlWE4h4qYX3kyJFIpVIOHTpESEgIW7duxdraGi0trW/Sk/8oqvtplSpVMDExoaSkRPi7R48esWDBAubOncv27dvZvn07kZGRnDhxglq1agnXRXVsExMT2rRpQ6NGjZDJZCxZsoQPHz4wbdo0qlev/qfaVR4zMzOmTZtGSUkJUVFR7Nq1i/Hjx39TZOzly5cANG3a9BvR9M/0i+p7b9++TZUqVcjIyMDKykrYmxoaGjJ48GAAQViXSqX07dv3nxYQKk/5QhDr16/nzJkzSCQSZsyYQZUqVTh27BhXrlwRniXGjRtHeHg4LVq0EIR1iUTC8uXLKSoqQl1dnY8fP7JlyxYmTJhAkyZN6Nq1q5DWHRgYyLNnz6hZsya6urpERUWRnZ2Nn58fnz59Ij09HRMTE0xMTHj06BGurq5C6nvTpk1RV1cnJCSEPXv2cPr0adq0aUNWVhZ37twhMzMTf39/3NzcfrNfP336RH5+Pvfu3QPKUskLCwspLCykU6dOyGQy4uLiKCwsJC0tDTMzM1xdXUlISCAnJ4dz585x7tw5oGzPaGBgQNeuXXFxccHR0RF9fX3WrFnD1KlTuXjxIoMGDaJv375YW1vz5s0b9u3bx8uXLwkMDBSE/u8lwKuuzR+RlVXrgVQq5c2bN6SkpPD69Ws2bNggiOYODg4MHjwYhUJBZGQka9euRSKR0L59e0FYnzNnDn5+fjx48AC5XI6hoSGxsbH06NGD7Oxs3Nzc0NHR4eTJk/Tu3ZutW7eSlJRE5cqVcXBwEIrCKRQK1NXVv9kbKJXKCuPt8ePHaGpq0r9/f65evcr58+dJTEykRo0aODg48PjxY9TV1bG2tubFixdC4bpr166xdetWDAwMhDR1FX927encuTMvX77k4sWLXLt2jcuXLzNp0iRatGjBhQsXCA8PF/bBDx8+5KeffqJdu3acPHmSpUuX0rVrV0aNGoW+vj6hoaEsWbIEQFjDZDKZcB07dOgAlM3XgwcPIpFIGDZsmDDXv77XiaK6iIiIiIiIiIiIiIiIiIiIiIiIiIiIyP8tRFldRERERERERERERERERERERERE5F9G9ZLxp0+fAGjSpAmOjo7Y2tpSUlLCwYMHqVSpEtWrV/+nQoFKOmjTpg2hoaFMnz6dLVu2EBMTg76+Ps7OzsA/ZA1HR0cCAwMJDAysIKzXqlULAwMDXrx4wZkzZ6hZs6YgZM2YMYP09HRmz55NTk4Oz549Q1NTE01NTVq2bMnChQvx9/cXxE5DQ0NmzJhBaWkpgYGB/PrrrxQVFQkvp6tE9a9ftr979y779u3DycmJWbNmCVJ3lSpVhN+5fPkympqa/PjjjxgbG1dIRYcyuWDv3r2UlpZSq1Ytnj9/TmJiIm5ubkyePJnQ0FCg7GXxN2/eCO0JCAigRYsWyOVy3N3duXjxIjKZjIKCAhITE9m/fz86OjqEh4dTUFDA06dPBYnwxYsXWFpaCslyX6e3/frrr3z+/JkJEyYI5wRlqZfFxcWMGjWKrVu3Mn/+fJRKJX369EFDQ4OOHTtSWFhISUkJjRs3/t0x9VuiugqVsC6TyYiNjUUul5Obm0vVqlVxdXWlZ8+etG7dWujPf8eL8OUl/s+fP1NQUMD79+/Jz89HS0sLqVSKmpqaMC7GjBnDnTt3iI+PZ9asWYKA1bhxY3x8fAgPD/+uOPL06VOSk5NJTk7m4MGDAFStWhWZTMb27dupWrUq8OeS6YyMjHB2diY+Pp7AwEBCQkIEMUzVbjU1NSpVqoSOjs53UzpVQvj69etp2bIldevWxdzcHIlEgrGxMfPmzSM1NZW4uDhatGjBkCFD2LRpE0lJSWhra6OmpsbDhw/R0NBAS0uLkpISPD09mTlzpjD3oExkGjx4MIsWLeLSpUsEBwcTFBRE//79iY+PZ9WqVWhqatK3b1/09fUFAeLGjRvcvn1bSCO8e/cuHz9+xN3dHXt7e+H6qaurU6tWLVatWsXkyZM5deoUSqVSENYXLVrElClTvilIUZ6v+15fX5/p06dz/fp1MjMzqVy5Mrq6urx9+xZ1dXXMzc25ceMGN2/exNDQkMqVK3P8+HHkcjkjRozA0dERqVRaQRRfvnw5W7ZsQUNDg+rVq5ORkUFWVhZQVnzAycmJkydPUlpaSkpKCkqlEh0dHUpKSnj79m2F9urq6vL582fi4uJ48uQJAHXr1qVjx440bdpUmNflz2n16tUUFRUxZcoUNDU1cXNzw9vbm8WLFwvJ1QAaGhp8/PiRZcuWsXLlygoFI5KSkujevbsgqqvWY9XxmjVrxtGjRyksLGTQoEFcuHChQhEONTU1YT0IDQ1ly5Yt6OvrC8JaaWkpJ06c4P79+2zZsgVra2vevXtHSUkJhw8fRqlUkpmZydixY9m+fTvm5ubCGiORSMjOziY9PZ3Ro0fj4ODA6tWr2bFjB3l5eQCCxPbp0yemTZvGnDlzCAkJEeQrNTU10tLSKCgowNTUlC9fvuDo6EjVqlVp3bo1t2/fJjY2loULF1JcXExKSgpVq1Zl48aNwvhq0KABCxYsIDAwkIKCAiwsLNDV1cXJyQkLCwtu3LhBYWEhqamp/Prrr1SpUoVXr17x5csXvL29UVNT49ixY2RnZ2Nvb4+VlZXQf6ampkybNo3c3Fzq1KnDnTt3uHDhAhKJhKNHj1KnTh369OmDnp4eYWFhREZGEhUVJYhXqrF+5coVWrRowcyZM6lcuTI7d+4kMjKSLVu2ANCnTx969+5N9erVWbRoEa9eveLz58+CIG5jY1NBpix/j1mzZg3r1q2jdu3a9O7dm6SkJGJiYvjy5QsWFhY0a9ZMmKvJycns3buX4uJipk2bhpGREf379+fNmzfs3buXL1++ULlyZcaPH0/79u0ZPHgw0dHR5OfnExwcjI6ODmpqaly7dk2Q3Zo1awb8tcTk/yl8Lcm1bNmSq1ev8vHjR5RKJY8fP8bJyYktW7aQm5uLrq4u06ZNw9HRkS9fvqCrqwuU9cGBAwcwMDDgyZMn+Pn5UVxcTG5uLr6+vmhrayOTyVAqleTn5wvH19DQoF27dkCZXL1v3z5iY2MpKSmhuLgYuVyOj48PHTt2BBCSh1X3FHd3d6pVq8b27dtp1qyZIGSOHj0aTU1NgoODCQ0NRVdXV0iYLi4u5vr164wbN47S0lI0NTVxcnIiODi4gmT7dfI5VBTWN2zYQExMDJ6envTq1Qv440VgymNtbU1wcDCTJk2iVatWODo6snTpUnx9fblx4waGhoYsX75cWB/LF3+5f/8+JSUlJCYmUrduXZo0aQIgCLJ+fn7AP+RviUSCp6cnv/zyC7169SIvL4+CggIOHTqEhYUF7du3R19fH6VSSePGjenatStxcXGUlJRgZWUlnPvHjx/Jzc3FzMyMDx8+oKmpSWFhodAHCQkJ9O3bl4sXL3L69GnOnTuHiYkJ6enpQoElpVLJ+vXrWbZsGerq6qirqyOTyb5ps1QqxcPDg/3795OUlETr1q1ZtmwZ0dHRbN++HU1NTdq2bSsUCVHtlxQKBSEhIdSvXx9bW1uhAEf5Nc/Q0BBHR0euXLlCcHAw1tbWxMbGMmnSJCZMmEDv3r2RSqWsWLGCgwcPYmRkxLBhwzA2Nq4grNvZ2TF06FC+fPlCgwYNhDX6ewnKfxTVZzZv3szOnTuxtLREQ0OD58+fA2Wp6fPmzWP+/PmMGDGCpk2bcu3aNdauXYuWlhaFhYXCvT0zM5PIyEgiIyOBssJa/v7+QoGCvzJuVZiZmeHj44NCoSAqKori4mJ+/PFH2rRpg1Qq5caNG2zduhVNTU3q1q37l46hokePHujo6DBz5kzS09NZu3YtS5YsQV1dXbj2KmFdIpGwbt06goODKSwsZMiQIX/oHMvv0SIjI4UiPebm5gwbNgwNDQ0aNmzIwoULhUJrubm5QpK0Slj39PSkqKiIoqIinj59yokTJzh27Bh2dnZ06NABHx8f1NXViYqKIj4+Hrlczr1799DU1MTY2Bhvb280NTVZsWIFrVq1YsaMGTg4OPDy5UtsbGwoLS3l+fPn5OTkUK9ePWbMmMHmzZu5cuUKp06donLlynTt2pV69eoJ6d5f7z9Vf27ZsiWnT58mPT2dJ0+e8OjRIy5fvsyzZ884efIk/fr1QyKRcOXKFaBs3Q0ODqa0tJRZs2YJxZtU+/WRI0cybtw4oGy9evHiBYWFhYSHh+Pt7c3NmzdZuHCh0A5DQ0MCAgIYMGAAgCCof/088UcTwhUKhbBGHjlyBGtra/z8/NDT0yM6Opq1a9cC0LJlS+zt7Rk6dChKpZJDhw6xZs0aAEFYt7W15cCBA5w6dYrg4GBhr9ClSxfMzMxQV1fH1dWVK1euMHPmTDZs2EDz5s0rtPnGjRvcv39fKNpy48YNiouLad68eYV78Lp169izZ4+wX1cqlTg4OADw8OFDJBIJBgYG5OTkoFQq0dXVJTY2Fl1dXSIjI0lLS2PevHk0atTon/bR7+Ho6EhISAg3b95kyZIlxMXF8eDBAzw9PRk9ejRVqlRh4cKFNGzYUGifhYUFI0eOpGPHjkKBudGjR1NaWirMIdXzxdeFCMsL64cPH6akpISRI0diZ2dXQVQXEREREREREREREREREREREREREREREfm/hyiri4iIiIiIiIiIiIiIiIiIiIiIiPxtWFlZoa2tzdWrV7G0tCQjI4MjR46QlpbG3Llz/9CL1uWlg7Zt27JixQqmT5/O27dvsbCwIDs7Gx0dHeGlddVL3+WFdTU1Nby8vHBycuLly5dkZGQwduxYdu7cyejRo6lduzZ79uxBIpHQs2dPjh07JsgHcXFx5OXlVZBlCwsLKSoqonXr1oKs+LVUDt8K0apjT548uYLUvXPnTr58+UJwcDA7duwgLi4OhUJB9+7dAQQpXaFQUFBQQEFBATo6Ovj7+3PhwgX279/P4sWLhRfHVXKNCldXV4qKigSh0NPTk6tXr6Knp4dMJuPTp08EBwezceNGQSAKCwvj/fv3qKurU7VqVebMmUO1atVYtmwZ9erVA/6RhJacnAwgCG1QJnhFR0cTEBDATz/9hEwmY9OmTSxYsICioiLatWtH9erV6dmzp/CZPyJX/56EYmpqir+/P1KplJiYGADs7e1ZsGABenp6/xZRvXybJRIJRUVFaGlpYWdnR4MGDXj9+jWfP39GR0dH6C+pVEpJSQlSqbSCWD516lRsbW2pV68eTZo0YciQIZSUlAjiSIsWLQgKCqK0tJRHjx4J/0tMTCQzM5ORI0diaWkptO3PnKeenh6zZs3ixo0bHD9+HC0tLRYsWFAhKT0pKYkzZ85gaWlZ4VqX5/Tp06xevZri4mLq1q2LgYGBMK/s7e1Zs2YNhYWFjBkzhiZNmuDs7MykSZO4e/cuBgYGeHh44Orqir6+PtOmTcPCwqKC5LFp0yZiY2N5+fIlBQUFAMTGxqKurs6iRYtYsGAB06dPJyQkhKdPn9KiRQtcXV25c+cOO3bs4PPnz9jY2GBtbY2NjY0g48E/UsJVmJmZ4eXlxaxZs7hw4QJSqZTZs2fj6enJmTNnBFHtawGsfEJgSkoKb9684fXr11SrVo0ZM2YQEhJCVlYWlpaWlJSUsHfvXp49e8abN29IS0tjwYIFGBsbs3LlSo4dO1ZhjqiOs2fPHrZs2ULr1q2ZMmUKhoaGDB8+nNLSUnJzc0lNTeXnn3+mQYMG7NmzR5DHv3z5UuF6aWtrY25uzosXLzAyMhISbLW1tbG1tUVPT09Yq8qP9Vu3brF+/Xp0dXVJT09n2LBhuLi40KRJEyGhMj09HZlMRklJidAfcrmcixcvVhgv+fn5REVFCaK6s7OzIENramoikUho2rQpDRo0qFDYo3x/HDx4kC1bttCyZUtGjRrFypUruXPnDtbW1nz69ImXL1+yatUqgoODMTc3Z/LkyVy/fp03b96grq7OixcvCAsLIzAwUCiMAWXSjUKh4MuXL2zevJn169dTs2ZNnj9/TqdOnejSpQu7d+/m+vXrfPr0iYULFzJ//nx++eUXrl69SnFxMV5eXgCoq6szZcoUIf33zp07VKpUiYcPH/LkyROsrKzo378/o0aNqiCUA3Tr1g09PT3mzp1Leno6EomEV69eCUJo69atuXz5MlWrVkVfXx99fX3h+s2YMYPc3FyaNWsmpJaqUCVXL1u2DF1dXTIyMpgzZw4XL17k3bt3rFy5kpkzZ9K3b1/c3d3ZsWMH7969IyMjA1dXV+G+u337dsaMGSOMlVGjRqGnp8eOHTsEYb1Xr164ubmxbds2MjMzefXqFfr6+uzatYv4+Hi2bt2KXC4X0rUBEhMT2b59O/Xr12fBggXY29vTvn17FAoFcXFxbNmyBXV1dVq3bs369euZOHEiDx48IDIyEqVSiZeXF8bGxkyfPp3GjRuzefNmrl+/TkJCAk2aNBE+c+7cOQYOHIilpSUGBgZcvnyZL1++4OvrS6tWrfjfimptUs3befPmERcXxy+//MKqVauIjo4WBPT79++zd+9etLW1MTExoUaNGkJyurGxMTo6OsyZM4fLly9z+fJlFAoFmZmZaGpqMmDAACHVXLUuq4RyVRtU10kqlRIcHEx6ejpWVlZMnz6d2rVrC8UK1q5dS3Z2Nt26daN+/foAODg4MGrUKKH9rq6uwnkNHToUgEWLFrFw4UKKiooYOXIkGhoamJmZMWPGDN68eUPTpk2pX78+JiYm3/TT7wnrCoWCpUuX0rhxYwwMDP4l4bdatWrs27cPPT09oEz8W7RoEZMmTaJbt26CqF5ewly/fj07duyoIPafOXMGDw8PZDIZcrkcqVRK48aNuXXrFvfv38fLy4tRo0YxePBgIiMjOXfuHBkZGRw4cEAQODt06ICuri5VqlTBx8cHDQ0NTpw4QUxMDM7OznTq1IkvX76QkZFBaGgo8fHxREdHC3tegA8fPhAbG8ugQYPo2LEjmzdvJi0tDSjbDxYUFAjr54YNG8jNzaVFixZCQnZ5YX3q1KmEhITQtWtXbGxsAJgxYwZKpZKYmBg2b94sFK4qL6x7enri5OQk3I9NTEwqrHmWlpZIJBLCwsJYtGgRR48e5dGjRzRs2JD27dsLc6NXr15CSrbqWEOHDv1GWHdwcGD+/PkVijf9lfFQfp+QnZ1NbGyssM4ZGRkRHBwsFMpJT08nMDCQuXPn0qZNG2rXrk3r1q3ZuXMnSUlJPH/+nJEjRyKXy4VCIA0bNsTNzU0obPBnihf9Fqampvj6+iKRSDh58iRXrlzB2dlZKDT0+fNn/P39hWP+mT74Gg8PD1asWMGMGTM4evQo+vr6+Pv7V7j2hoaG/PTTT8jlctatW1dhv/p7lO+LRYsWcerUKQwNDcnJySE9PZ0tW7Ywbtw4LC0tmT9/PnPnzuXChQsVhPUtW7bg7u6Ovr4+ffv2RUNDg/fv31NSUkJMTAxbt25FXV2dNm3aMH36dORyOdHR0djb29OkSRPatm2LkZERtra2zJ07F7lczpgxYwQpuHr16pw8eZLTp09z6dIl8vLy8PDwYOrUqYwdOxa5XE5iYiLdu3dnypQpwp786+us6mOFQsHDhw9JS0sjJiaGa9eu8fnzZ6BMIr9//z5mZmb88MMPaGpqcvXqVX799VeePXuGvb09oaGhJCcnk5aWxurVq6lRo4Yw52JiYjhz5gwXL14kLy+PXr164ePjw8ePH7l37x6fP3+mTp062NnZCYUMfm88/tH5pPq8qnBTs2bN2L59Oz///DPAd4V11X3q0KFDrF+/HoVCQYcOHZDJZEgkEnJycsjOzsbAwIBPnz6xZ88erK2tsbW1JSgoiGHDhpGYmMioUaPw8vLCxsYGMzMzEhIS2LBhA4WFhfTs2ZN3794JxRS2bdsmFL1Zt24da9aswc7OjmHDhpGXl8e9e/e4fv06SqWSLl26oKGhwdGjRwF48eIFULZ3X7lyJSYmJgQGBjJw4MB/2o9/BE1NTZo3b862bduIjY3l6NGj7Nq1i5iYGIKDg2nTpg23bt3i2bNnuLm5UVpaioaGBlWrVhWKwmhoaDBhwgQAoaCTg4ODsKaWb2eHDh2QSCSEhoZy5MgRevTogZ2d3V9uv4iIiIiIiIiIiIiIiIiIiIiIiIiIiIjI/w5EWV1ERERERERERERERERERERERETkb8PCwoK5c+eyYMECIelPJdwNGjQI+H3R43t/165dO5YvX86sWbN49+4dq1atYunSpYK0o6amVkFYDwoK4vz583z+/JmNGzdy6dIlFAoFjx49QldXFwcHBzZv3syRI0eYPn26ID4dO3YMgMDAQOG4nTt3FgS+JUuWcP/+fXJzc+natauQqv57PH78GIVCgY6OjvCz8sf29PREqVSyePFiLl68SHp6Otra2jx79owWLVpw584dQTb94YcfaN68OQ0aNEBdXZ0rV64I0rhKdFKJjMePH+fEiRMAdOnSha5du9K8eXPi4uIE4SYtLU144f327duCVKGS1oOCgrh06RKBgYHMmzeP+vXrC5KJSixKTU2lfv36gljUvn17IXmuT58+HD58mA8fPrB06VIOHz7MypUrKySc/h0SuZmZGb6+vmRnZ/P+/XuaN28uiGF/d5p6edEmJiaGmzdv8uuvv2JlZUXLli2pXr06t27dwtfXl02bNqGpqUlpaSlqamqCGKGmpoaRkRGfPn0C4Pnz5zx//pyPHz+yePFiJk6cSHh4OAkJCdy/f58XL15ga2uLi4sLLi4uAOTm5pKdnS2II39VXqhRowZr165l4sSJRERE8P79ewYMGICNjQ0PHz5k27ZtZGVlMWPGjApSfHlcXV2pVq0aFy5cYNy4ceTm5qJUKpHJZLx69Yr4+HjatWtHkyZNUCqVmJmZ4e7uzt27dykoKKCwsJDWrVtTpUoVnJychLEFZdLe6tWradiwIX5+fpiYmHDr1i1BopNIJCxatIi1a9cKoveRI0eEuSCVSvHx8aFbt25AmVQpkUhITU0FymTir/vOzs4ObW1tMjMzOXnyJHl5eaxatUqQib+XYKkaE5s3b2bv3r1kZGQIf1+5cmW6devGpUuX+PXXX4GydS4xMVEQPvr16wcgJKaWT2+EMrHtxIkTVK5cmYkTJ+Ls7Mzdu3dJS0vD0dGRhw8foqamhqWlJY0aNcLJyYk7d+6watUqCgoKKhSzKCgoIDs7GygTNlXrdKdOnQRRVEX587SxscHPz4+VK1cSFRXFuXPnmDNnDp6enri5uREUFMTMmTPJysoSRCmJRIK2traQSq46l6ioKBo0aICXlxfOzs5Amax048YNYmNjsbOzY/HixYJoXb7PVenpZ8+eRVtbGy8vL2rXro2Pjw8jR44kLS0NpVJJ27ZtmThxIrm5uchkMlJTU/n48SOOjo4kJydjYmLCvXv3KCoqqiCrOzs7Y2hoyN27d/n06RPW1tZ4eXkREBDAx48f8fDwoGXLlnh4eJCZmUlWVhbLli1j8+bNeHl58fjxY+G6z5o1S0i43bFjB1euXKFNmzYEBAQAZXKnpqZmhYIJKlQpwg4ODkRHR/PgwQMeP35Mbm4uWlpaXLp0iapVq9KhQwe2b9/Ojz/+KIh7ZmZmrFixQjgvpVJJVFQUnTp1Ql1dHblcjq6uLgqFAjMzM4KCgggICODChQs8ffqUFStWUFJSQocOHZg5c6ZQFObx48d8+vRJWHuqVauGXC5HqVRSuXJlIT11586dbNmyBaVSSa9evahUqRKVKlWiVq1aQNm6o6urKyQhOzg4CPMrJSWF/Px8RowYgb29PXK5nCpVqjBnzhzU1dWJiYkhLCyMuLg4hg8fztq1a5k0aRIPHjwgIiKCunXr4uDgwM6dOxk0aBATJkxAJpNx/vx5AGbNmkVkZCSLFi3i3r17JCQkYGBggL29PQMGDKBHjx7fjLn/6SQnJ/P+/XvatGmDRCIR9lFZWVnExcVhamqKlZUVPj4+5OfnExcXx61bt7h16xbNmzcnPT0dhULBzp07admyJU+ePOH27dvUq1ePjh070qtXL9LT07l79y6RkZFcvXqVx48fc/78eV69ekVubi4aGhq8evWKe/fuoaurK9zntbS06NChA3K5nODgYNLS0rhz546QuKqSC7W0tIiNjWX8+PH07NkTHR0d+vXrR2xsLBEREfTu3ZtatWoJ12Xo0KEoFAqWLFlSYc9ob2+Pvb39H+q3r4V1qVTKhAkTvpGh/1VU+xHVfdHa2rqCwF4+VXjDhg2sXr0aIyMj7OzsuH37NkqlkuPHj2NjY4OjoyNqamqEhISwbds24RhyuZzNmzcTGxvL+vXrGTVqFB8+fECpVBIRESEInJ6enujo6GBmZsaUKVMoLS0lOjqadevW8ebNGwoKCqhbty7t27cXiktFRUWhrq6OnZ0dycnJPHv2jH379jF+/HisrKzQ0tJi9OjRtGzZkpiYGMLDw3ny5AkvX77EysoKT09P1NXVKwjrcrmcvXv3CvciFebm5vj4+ABle6xNmzYBCMK66ju+Lhzz9Zonl8uFQgOq38vMzKSkpET4DijbVwMsW7ZMONb3hPV/VVQHhH1CfHw8CoWCBw8esHjxYmG8+vn5IZPJiIqKQqlU8u7dO/z9/Tl48CBVq1bF1tYWb29v3rx5w5s3b2jXrp3Qnq/b9XeuX6ampsyePRuZTMbJkydJSkqievXqDBo0iEaNGgn7lX92zPJ7paioKO7evUtpaSnOzs707dsXKEu9Vgnru3fvRk1NTTh2eWF9yJAhtG7dWtgT/x7l23Xu3DkuXbrE+/fv0dHRQV9fn/z8/ArJ6FWqVGHBggXfCOs///wz69evp127dmhoaAD/SJ+Hb8ert7e3UHhBW1ubZs2a4eDgQHFxMS9fvsTExEQo8HHr1i2io6PZu3cvULbf0tbW5uzZs+jo6BASEoJcLuf9+/fUqlWrQvGo39qPhoeHs3v3bj58+ACUFSQaNmwY6urqKJVKbt68SXx8PBKJhG7dulFaWkpSUhKrV69m4sSJ2NraYmpqSnFxMa1atUKhUHDr1i2ioqLYt29fhXYeOXJEKPLRtm3bb67BH01O/y3KP3tlZGSwY8cO3N3dGTVqFABOTk6MHj0aKLunrFmzBqVSSatWrbC3t2f48OGoqakRERHB4sWLcXR0FNYQd3d3JkyYgIODA/v27ePy5cssXLiQgIAAbG1t2b59OxMnTuTWrVtMnjyZSpUqYWhoSHJyMqWlpfj6+tKxY0eKi4v54YcfOHr0KFOnTiU0NJQWLVpw/Phx6tevT1BQkLAHysjIIDY2luDgYGJiYpg3bx59+vQhMjKSuLg4cnJygLJCHEuXLq1Q1OTvmtcmJiYMHDiQ/v37s2bNGo4ePcr48eMxNTUlNzeXwMBA9uzZQ+XKlYF/FBRQjX2ACRMmIJFIWLVqFb6+vshkMrp37/6NsO7h4UFxcTGlpaWCxC8iIiIiIiIiIiIiIiIiIiIiIiIiIiIi8n8bUVYXERERERERERERERERERERERER+Vvp1asXtra2nDx5EltbW2rWrEmDBg2A33/R+uuX0T98+ICRkRGVKlXCw8ODZcuWMWvWLI4dO4a+vj5z5sxBTU3tG2Hdz88Pb29vPDw82L17N7GxsSiVSi5duoRMJsPPz4/Lly9jYGCAXC7nw4cPTJ06lbi4uAopxLa2tvTo0UNIogsLC+PQoUNIpVIhLfSf4eDggK6uLs+fPwfKEqE3bdpEq1at8PT0RFtbm0aNGgkvcavkcy0tLa5cuVJBRLl79y7x8fFUq1aNbdu2YWlpibm5Oe/fvycgIICbN28SFRUFIKRuvn79mpiYGFJTU2nbti2FhYVcvnwZgNevX7N3716ysrKIiooiLS2NsWPHoq2tTfXq1fH39yc0NJTY2Fjmz58vCOsAXbt2RU1NjUaNGpGTk0NERAQymYxhw4ZRo0YNoOyF9qysLOrUqYOpqSnNmjWrIKr/nZiZmbF+/XqgTMhQCUp/VSr6HkqlUhifYWFhgpSioaHB3bt3KSkpYebMmdy/f5/ExESmTJlCWFhYhUIFN2/eJDIyki9fvtCqVSu+fPnCw4cPmT17Nu7u7hgbG9O4cWPheFevXiUsLIzJkycL6YtyuVxIUlb93r8iLzRu3JitW7cybdo0zp8/L0idUDYO/f396dOnj3Csr/vUwMAAV1dXjh07xq5du2jUqBHa2trcv3+fjh07fpNEf+fOHeLj45FKpZSWllYQwlVJu6pEyL1791KrVi3mzZsnCF0tWrSgZ8+eBAQECFLXwoULqVOnDteuXSM+Pp6ioiJq1apF/fr18fDwAGD79u0kJydjYGBAUlISISEheHt7C+2QSqVIpVJMTEyoVq0adnZ2pKam4ubmVkFm/rqvVX8ODQ1l8+bN1KhRgxkzZlBcXEx6ejoHDx5k//799OrVi0aNGvHgwQOSk5N5/fo1nz59Ijc3l5SUFGrUqEHXrl2F7y3fb+/fv+fBgwf88MMPuLi4kJOTQ0lJCUqlkocPH2JmZsaHDx84deoUGzduZPLkyYwYMQIbGxvGjx8viOOqa5iVlQXAvXv3kEql6OvrC6Lx19dY9WcjIyO6dOnCixcviIyMJC8vD19fX+Li4ujcuTOenp6EhoYyduxYiouLhXWrsLCQ8ePHI5FIOHXqFCUlJaSlpfHx40eysrJ4+/YtZmZmXLhwgQ0bNpCdnY2vr68wb8q3XTWGsrKyuH79Oi4uLtSuXRulUomrqyvNmzfn7NmzQrtfvXpFcHAwrq6upKamUlRURP/+/bGxsWHbtm1cvHiRV69eYWhoKByjSpUq1KhRg9u3byORSBg7dixNmzbFxsZGGDezZ8+mUaNGXL16lezsbFJTUwkNDaV69eqCgJ6YmMiVK1fo3Lkz27dvZ9++fVSqVImZM2d+kxb/e1hbWzNu3Di+fPnCjBkzSEhIoFKlSvTr1w89PT0OHz5M1apVGT9+PFpaWsLnyovq4eHhhIaGcubMGUJDQysUelEoFFSpUoWFCxfi7e1NYmIiT548YfXq1QCCVLx69Wp27txJXl6ecN99+fIl5ubmKBQKFAoFRkZGFYT1bdu2IZVK+fHHH9HX1xfGkqmpaYUkZCsrK2G8X716FUBY31SYmpri4+ODQqHg5MmTPHz4kMLCQkJCQlizZg3jx4/nyZMnLFy4EAMDAzIzM2nWrJkgQQKcP38epVKJt7c3y5YtIysriydPnlC1alV0dXUxNjb+Zu79TyclJYU+ffpgZ2eHRCKhdevWwlhWU1NDQ0NDEHNNTU2ZP38+eXl5JCYmAmXprVKplBcvXrBmzRo2btxIaWkpSqUShULBhQsXsLW1xcrKis6dO+Pm5oaPjw9Xr17Fz8+P3NxcpFIpJSUlbNu2jX379iGRSGjcuDEmJiY0b94cR0dHXF1dCQoKYt68eezatQu5XI6Pjw/t2rXD0dGRR48eoa2tzfz587l48SK9evXC09OTgQMHcuXKFZYvX87y5csFwRtg+PDhNGnSBCcnJ+CvicQqYd3Pz49Tp06Rm5vLihUrvpGh/w5U36NKrwcEARfg06dPnDlzhsaNG+Pr60vNmjVp0aIFOTk5xMXFYWRkxIgRI0hKSmLbtm00bdqUESNGUKVKFZYsWcLVq1d5+fIlgwYNYvfu3djb2zN27FikUin79+9nw4YNKBQKPD090dXVxcLCAm9vbx4/fszjx49Zvny5cM7nzp3Dw8MDb29vvnz5grOzM1OmTCEgIICIiAiePXtGSEgI79+/JzQ0lPbt23PmzBlevHiBgYGBkMDr5OQk7KvLC+sBAQF06tRJEOLLo5rrgJBYrVAoaNeu3TeFPcpfm/J7P9X81dfXp0GDBmhra3PlyhX8/f3x8/OjUaNGQr9/LaxLJBKGDBkiCOu/dby/wokTJ5g1axb169fHwsJC2NeVlJRUEJ9Ve5tPnz4RGRmJl5cXADo6Ojg4OFTYD6rOo/xY/bvXL9WaLZVKOXHiBGZmZsI9FyqO499C1aby+2cVT58+xc/PDygT1pcvX87MmTPZsWMHwDfCuqoACvzz9Vr1d0uWLOHAgQPMmjWLBw8ecOjQIZRKJQ0aNODu3bts3boVmUxG27ZtvxHWdXV1ycvLEwodfd03vyWsf+/nzZs3x8LCglu3bjFp0iSkUil3794lIyODSpUqMWPGDNq3b09mZiajR4/m7NmzpKen07hxY7Zt24a5ufkf7mMTExOhkNGPP/7I0KFDhUI1169fZ+nSpZw9exalUinMg7NnzyKVShkzZsyfamdcXByvXr2ievXq31yTf3XeqJ691q5di56eHmZmZowfP15I/pbJZDg6OlYQ1lUFOlq1aoWdnR2DBw8mLy8PFxeXCoVIbGxshKI2lpaWLFmyhMTERIKCgpgzZw62trZs2rSJvXv3kpSUxKNHj8jLy6Ndu3Z06dKFTp06AWUFhhYsWIC2tja//PIL06dPZ+rUqeTl5TFp0iRq1aoltLVKlSoMGTIELS0tAgIC2LFjB0uWLCEgIICJEyeybt06rl+/zvDhwwVR/V991vu9vvXy8qJ9+/ZcunSJjRs3AmV7i8ePH9OsWTOuXLlCSkoKN2/exNDQEHd3d1xcXLCwsGD8+PEArFq1ilmzZgF8V1jv0qWLcMz/TXssEREREREREREREREREREREREREREREZG/hkSp+i+3IiIiIiIiIiIiIiIiIiIiIiIiIiL/Rn5P+ikvqu/cuZMjR47w6NEjqlatiru7O1OmTMHU1JSzZ88ya9YsCgoKGDJkCP7+/hU+rzpGbGwsBw8e5OLFi5iammJoaMjr168pLi6ucFyJRELXrl3p1asXwcHBAIJYDjBo0CBMTEwEITs/Px8DAwPOnj2LoaHhPz3njx8/cvLkSVq3bi1Ih9evX2fjxo2ClJyVlUXbtm0pKCgQPtezZ88KCWSLFi0iPz8fPT09atWqxatXrwThtF+/fkydOpURI0agpqbGp0+fyMjIwNzcnAkTJvDixQsOHDggJCFGRERw//594fyhTLaYMGECAwcOrHCtXr58KQjrTk5OzJ07F1dXV5RKJUVFRWhpaXH37l2GDBlC//79hesBcPToUWbPns369etp0aKFkMb2d8pf3+PfIaqXZ9euXSxatIiWLVsyYcIEqlatSkpKCpaWllSvXp2UlBQmTJjAq1evcHBwYPDgwdSoUYO0tDS2bt3KkydPMDAwYOfOnURHR7N161ZCQ0Pp0qWL0DcZGRncv3+fyMhIzp8/j6enJxMnThQEpX8H6enpnDt3jl9//ZXs7GxcXFxwdXUVxmn5Ofp1muezZ8/o378/devWZcmSJYwfP56HDx/y448/Ehsby5cvXxg8eDAymYyzZ8+SlpZGzZo1sbGxITU1le7duzNmzJgK7blw4QITJkxgypQpjB07FqVSWUHWeP/+PZMnT+bu3bt07twZPz8/IQVSTU0NNTU1ioqK0NTUZPPmzezatQupVMrs2bPx9/ensLCQCRMmMHny5ArHvXbtGqNHj2bq1KmMHDmyguT9W2Pq1KlTeHl50axZM2bPnl3hOsXFxeHt7U1eXh5jxoxh+vTpQJlMs3nzZh4/fswPP/yAr6/vd9eU0tJSfv31V/r370/t2rWpVq0aN27coLS0lKysLLS1tenXrx8nT57k/fv3APz0009CSuuIESNISEj4brsrVarE58+fWbBgAf369UOhUFQoyvD1upqfn09xcTEnTpxg5cqVFBYWCp/p0aMHEydOZNu2bRw4cAClUomtrS3Pnz9HU1OTbdu2UaVKFWQyGYGBgZw/fx4tLS0MDQ3R09Pj+fPnSCQSfHx86NevHyNGjGDcuHG0adOmQpsVCgX5+fl4enpiY2MjJHyuXbuWNWvW4OTkxNu3b4VkyvLrgbe3NyNHjgTK1s28vDwOHDhQQYAFuHv3LoMHD6a4uJi6desSGRnJrVu3GDVqFEVFRXTr1o2zZ88ycOBALl26xOPHj5FKpWhqajJq1CiGDBlC165d+fjxI4aGhnz+/JmaNWuyZs2av1SwQ9X/Hz584Pjx40RFRVFSUsLz58+pWrUqGzduFBI7v8fNmzeZMWMG6enpdOzYkeXLlwsJ6yphXSqVkp6eTq9evfj06RMAjo6OTJ48mefPnxMaGoq5uTlWVlZkZWWRkpJC9erVWb16NQ4ODigUCqBMlsvKymL//v3s3buXkpISRo4cyYgRIyokcgIUFBRUkOolEgnr1q1jzZo1LFy4sIJoruLDhw94e3uTkJCAvr4+ixYtwtPTk8zMTNavX8++ffswMTFh/PjxDBo0SJiziYmJhIeHC+n248aNE4qvfK+v/7fw4cMHAgMDuXTpErVr12bs2LHCnMnNzaVXr14YGBgQEREhFOT48OED06ZNIykpCSiT1WQyGcbGxkLKuoaGBiUlJcJx9PT0WLduHUVFRUyZMkXYr+jq6qKlpYW2tjbu7u5kZWVx9epVYZ6qMDQ0JCwsjNzcXIKCgvjw4QM9e/YkKCiIK1euMHv2bKytrWnevDm7d++mqKiIPn36MHPmTKZNm8avv/5KSEgIrVq1qnAvUvGvym+vX79m0qRJ9O7dm2HDhv3l7/mrnD9/HrlczqRJk1ixYoUg9r169YoBAwYIc7JPnz4UFRVx9epVtm7diq2trSBwX758mYiICGJjY7GxsSE8PBxra2s+ffpEeHg4O3bsQF9fn19++UVYhzZs2MCqVatQV1cXioxAmTA8efJkbG1tBcFSXV0dhULB8OHDuXbtGlAmaM6ePZuGDRsyfPhwcnJyqFSpEubm5hQXF/P8+XP69OnD8OHDhTWqfLI5/Pa1+/DhA8uXLxdSrzds2ICVldVv9uHXBa9Ua5ypqSn5+flCQQI7Ozv8/f1xc3OrIFgfPXqU0NBQ3r9/z9ChQ5k+fXqFAiB/BxkZGYSEhBAfH09BQQETJ04U9iCqflCd99GjR4Gye9fPP//MzJkz/9a2/BXev3/P0qVLiYmJoV69ehXu0X9k7Txz5gzTp0/H1dWVzp07k5+fz/Lly1Eqlfz0008EBAQIv3v27FlmzpxJYWEhI0aMEMTvP7pGlx8Ply5dYvz48djZ2REUFETt2rUJCgpiz549KJVKmjRpwo0bN6hXrx5jxowR0sEzMjLw8/PjypUrjB07lmnTpv3m8T58+CD0TcOGDRkxYgTt2rX77s9tbGwYMWIEGRkZAJibmwvis4uLi3COI0eO5MGDBxw/frxCkZvf64OoqCj8/Pxo2rQp6urqnD9/np07dwpid2pqKqdOneLRo0dcuHBBWMvd3d3p1q0bhw8f5saNGzRr1gwvLy+mTJnyh9sZFRWFqanpP702f4WEhARGjhyJpqYmpaWlrFq1SihGVb4/Hj16RHh4ONHR0bi4uDBlyhRB+M7OzhaKHHyvD1WFshYvXsyNGzdo2rQpc+bMEdaugoICCgoKKCkpwcjISNjTqIoqSSQSioqKWLRoEQcOHEBbW5uCggKWLFnCDz/88M1aV1hYyPLly9mzZw/z58+nf//+wt+lpqb+W4qmfM3X333r1i327NlD06ZN6devH6tXr2b79u0UFRUJ+zwoK8bQs2dPOnfuDMDGjRtZuXIlACEhIfTo0ePf3nYRERERERERERERERERERERERERERERkf+5iMnqIiIiIiIiIiIiIiIiIiIiIiIiIv8Wvn5B+bdeVlYoFIJQsGzZMrZu3YqmpiY1a9YkJyeHgwcP8vnzZ/z9/SskrO/evRsAf39/1NTUKC4uRkNDg/fv3zNlyhSUSiXVqlVj3bp11KpVi7CwMDZv3gxA5cqVGTBgAOfPnycmJoaUlBRevHhBUFAQ+fn5BAcHo6+vL6SEQln6mrOzMxMmTMDQ0PAPyVHGxsYMGjQIqVRKSkoK58+fp3fv3jRu3Bi5XI5UKuXatWsUFBSgq6uLUqmkUaNGnDhxAgsLC+rUqcPIkSN5/Pgxu3fvpqCggLt371KvXj1MTExISUnh9evXHD58mOfPn7Nw4UKcnZ0ZP348b9++Ze3atXTp0oXhw4cTHh7Ozp07efPmDQDdunWjZcuWGBsbY2FhIbyMX/68bGxsBLk2NjZWSBp0dXUVJJ4nT55QXFxcIX365s2b7NixA1NTU6pWrfofE9Xh3yepQ5m4cvToUczMzJg2bRrOzs4AgkSiUCiwtbVl2bJlzJ07l3fv3lWQb9TU1JBKpXTt2hVnZ2dWrVqFmZkZLi4uQtufP38uJIn27duX/Px8YmNjyc3NJSwsTBAt/m7Mzc2FYgVfU14uK38NJRIJcrmcatWq0alTJw4dOsSdO3eYM2cOP//8M0eOHKFt27bEx8ezZ88eoExuHDp0KPv376d3796sXbtWGG/lv/v169fI5XLy8vKAMmm7vOBmZmaGl5cXs2bN4ty5cyiVSnx9falSpQrFxcVER0ezcuVK1NTUSE1NpXr16sJaUFxczPz581m3bh2vX79myJAhmJiYkJycLPS9vb39HxLVoUzukMlkjB8/XhB3y0t/qsTxTZs24eDgQJcuXYTiBCEhITg7O/+mqC6TybC2tkZfX58HDx7w7Nkz9PT0hGIVBQUFPH78mI4dO7J//35KSkpISEjg9OnTuLq68vHjR6GwwPe+f+7cufTr1084R9W1OHDgAM7OztSpU4ejR49y4cIFkpKSMDIywsTEhD59+nD48GHkcjmampocP36chw8f0q5dO5ydnUlOTsbBwQEXFxeOHj3KyJEj2bp1K25ubgQHBxMbG8vFixdJTk6moKCA3r17065dO4yMjDh37hyvX79m3Lhx7Ny5kyZNmrBy5Up69uxJjRo1UCqV6Ovrc+vWLS5fvsydO3dYu3YtLVq0YMaMGRgYGBAVFcW1a9dISEjAwsKCgIAAQUDbunUr9+7d48cff/xuGmy9evWYOHEiYWFh3L9/n1mzZjF8+HCmTp1KaGgox44dE8Zy+QT4goICTE1NqVSpEoaGhmRmZlKtWjWaNWvGgAEDqFq16m+Ood9DNZa0tbVJSkri2bNnWFlZ0b9/f0aNGlVB4PzeWG3YsCGrVq3Cy8uL06dPA3wjrJeUlGBubo6HhweXLl3iw4cPPHr0iOXLl6OmpoabmxsLFiygZs2aXLt2jc2bN3PlyhUhLbtWrVrfJKzL5XLWrVtH5cqVvxHVVefzdZtVEu3atWuxs7MThHJVsQpTU1NCQkJo3749ubm5wn6hdevWzJ07l/79+6OtrU21atWAfwiLTZs2FY57/vx5pFIpo0ePxtXV9bt9/b8FU1NTAgMDBRmyfKqvvr6+kGZdWFiInp6e0IdhYWFCQrpcLkcul5OZmYm7uzvu7u40atSIS5cu8fLlS27dusWwYcNo0qQJL1++ZMGCBSQnJ/Po0SOSkpLIz8+nYcOG+Pv7o6mpSUpKCgUFBVy6dIlXr15x48YNhg0bRvPmzSkpKaGgoICAgADOnDnDzJkzcXJyonHjxiQlJWFvb8/27dsJCAjgwIEDJCcn4+TkxOXLlzl69CitWrX6RlSHfz1Julq1auzbt08oXPGfFOyOHz+Ot7c3devWrbAXy8/Pp3r16kRERNC7d28+f/5MZGQklSpVomnTpjg6OqJQKCguLkYmk9GiRQtatGjBmDFjuHjxIvv378fLy4vKlSszevRo8vLysLOzE+ZY+ST3cePGcfjwYaKiotDW1haS3MtL5qo99rJly/jpp59ITU2ltLSU9evXs2vXLjZs2EBycjKurq5YWVlx48YN1q1bR2RkJFKplCFDhmBnZ/dNOvpvXTtVmndubi7NmjX7XVG9/HPEzp07OXbsGLm5uejr6+Pv70/Dhg2F5O5Tp04RHByMv78/DRo0ENYmVbL0nDlzqFq16t8uqkPZXtHHxwcNDQ1OnDhBVFQUTk5OeHh4IJVKUSgUFc7bwMCAo0ePsmXLFjw8PL5bYOM/iZmZGbNnz0YikQip9yUlJXTo0OG780U1j1TPFcnJyejq6uLn54ejoyMAzs7OjBw5kr179wIIe2YPDw+WL1+Oj48P27dvJy8vjwULFvzheVleVH/y5AkSiYTAwEBq164NlF1nqVTKrl27uHbtGk2bNiUpKUl4TlQlrAcFBZGcnEz79u0BvlssA/6RsK6mpsaxY8fIzs7G3t4eKyurb36+YcMG9uzZw+3bt8nJyaFNmzaYmJigpaUl9NXVq1e5ffs2TZs2xcDAoMKxfq/wW0JCAnK5nBEjRrBmzRpMTExwc3Pj5MmTHDhwgBs3bgiFSKysrPjy5QvZ2dlcuXIFpVLJ8OHDyc3NpU2bNtSrV+9PtfPrwj9/J82bN2fMmDFs374duVxOYmIiTZo0QV9fv0LxrPIJ6ydPniQ0NJTi4mLatWv3u6I6lK1Fzs7O+Pr6snjxYhITEwkODmbJkiVkZmYSFRXF6NGjKxQOUH2fah3T1NRk/vz5lJaWcujQIaCsGJjq+8ujpaVF06ZN2bNnD5cuXaJPnz7CPvw/IarDt2OpQYMGODg4oKury9q1a1m/fj0uLi4MGzYMExMTnj17RkxMDJcuXeLNmzcolUq6dOnCuHHjkEqlhIaG4u3tjUKh4Icffvhft6cSEREREREREREREREREREREREREREREfl7EGV1ERERERERERERERERERERERERkX8Lf/QFZdXL2+Hh4WzduhV3d3emTp2Ko6MjV69eZf78+cTHxyOXy5k3b943wrpUKsXX1xcNDQ2USiVXr15lzJgxbNq0idTUVM6fP0+NGjVISUnB1NSUDx8+8OnTJ549e8bEiRPZsmULt2/fRiaTkZ+fz9ChQ2ncuDEymYyMjAxevXpFrVq1sLCwwMrKqoJ48WfO79OnTyiVSiFtVE1NjZs3b7Jp0yaMjIzo3LkzBw4coG7duvTr149Zs2YREhLCr7/+SqtWrTAwMEAmk5GVlYWJiQmLFy9m3bp1xMTE8Pz5c7S1talSpQqOjo6sWbOGyZMn8/btW3bs2IGuri4KhYJnz54B4OnpyYoVK75p6/ckDBsbG7y9vZHL5cTFxbFgwQLmzZsnSDOWlpZoaGgQFRWFhYUFBQUFHDp0iJSUFAIDAwUh5c+Mif+pfPz4kSdPntCnTx+cnZ2/GQeqogTR0dHY2toyfvx4njx5wrt376hRowZyuZyVK1eSlZXFtm3buHjxIm3atKkgKpuYmHDjxg3kcjleXl5MmjSJ4OBg2rRp828T1VWUT0yHf1wvlVwWFhZGSkoK06ZNw8TEBENDQyHFvHXr1hw6dIjIyEiWL19OQEAACxcuJD4+nqZNm2Jvb4+FhYUwjhQKBXZ2dt8V1QHq1KmDtrY29+/fF9rwdX/b2dmhra1NZmYmp06dIj8/nzVr1pCbm8vDhw95+/YtdevWpU2bNgwfPhxLS0sAunfvjoGBAQEBAZw4cYITJ04I561KX2/ZsqVwnNevX6OlpUWVKlUqtEGhUFBSUsKFCxfQ0dGhevXqQhGK8v3YunVroT+SkpLo2LEjMpmMbt26UadOHWxsbL7pA7lcLojUwcHB5ObmCj//+PEjrq6uVKpUiXPnzpGYmIixsTEtWrTg3LlzvHr1ihkzZiCVSpHL5UgkEvr06UNcXBxZWVkYGRkJY9Hd3f2b4+3fv5/AwECaNm2KhYUFR44cQUNDg+rVq1NcXExiYiJ3797FycmJR48eIZFIaNmyJe/evSM8PJzKlSujVCr5/PkzK1asQCKRcOTIEUaNGsW2bdto2LAhAwYMYODAgWRnZyOTydDT0+P69euMHDmSZs2a4eTkxJUrVxg2bBidOnXi1KlTpKenExgYiL6+PiNGjGDBggX4+/uTkZFBixYtmDlzprDejBs3DgsLCxISEhg0aBDt27dHLpcTHh7O9u3bqVq1KuPHj/9NIbFfv34cO3aM58+fC2nmUqmU0tJS4XfWrFnzTRGAu3fv0qtXL/T09LC1tWX79u1oa2t/V277s+jp6bF8+XLy8vLQ1dVFU1OzgvhZfv3Oysri06dPGBgYIJFIqFevHmFhYUyfPv0bYV0loQJ8/vwZY2NjOnToQGxsLPXr1+fcuXN4eXlRs2ZNABo1aiQUbLl69SqBgYEEBgZ+I6wPGjSIVq1aCcU44NsU5eLiYgDh+J06daJXr14cOXKEdevW4eXlRe3atSvIYMnJyRQVFVG9enXu379PeHg4JSUleHh44ODgIHy3UqlETU1NmFcqYV2pVHLu3DmkUiljx46lbt26//K1+W+ikiSBCsJ6ixYt0NbWJi8vj507d9KyZUt0dXWxtbXF1NSUJUuWEBYWRnR0NDo6Ovj4+NCpUyehiICzszNSqZSMjAxBzrOxscHGxoYePXrw/v174fMvX77k+vXrtGzZUpCh69SpA8Dbt2+FQg1r167l0aNH/Pzzz/Ts2VNI4R04cCDx8fGcPn1aSHI9ePAgJ06cICIiQji3xo0bM2DAgH9LP/43RHWAJk2a0LVrVyFtOzo6Gnt7e3R0dCgqKsLa2ppDhw4Jwnp2dja3b9/m/v371K5dW5g7qvnv5eVFcnIy165dE9anypUrC8UEAOLj41EqlTx8+JAVK1bQvHlz7OzsUFNT4+jRo2hqahIZGYlSqWTEiBHUqlULDQ0NSkpKqFKlCvv27WPmzJkkJSUJe8vOnTvTsGFDociKKvV4w4YNRERE8OXLF+bNm/fdwiy/hZmZGStWrPhuYYvyqNaGVatWsWHDBmQyGcbGxiQnJ/Pzzz+zbNkyPDw88Pf3ByoK602bNiUlJYXi4mJ++OEH6tevL9yT/x2oih2VlpYSHR3N1q1bkclktGnTRhDWy593kyZNyM3N/a+L6iq+lrI1NTVxd3cXCreoKH8/ys/PR6lUkp6eTseOHXF0dEQul6NUKmnWrBnbtm37TWF9yZIlTJ48+XeLFfwWqkIQqsJZTk5OQFmitZaWllDAYNeuXSQmJgrCuqpoUfv27bGwsMDCwgKoWBTht/rmewUWfuvnKiEZ4M2bN1haWiKVSrl+/TqrV6+msLCQHj16VCgG9nvI5XJevnyJiYkJDRs2xMLCglu3buHh4UFqaqrwe6r9aZ06dZg4cSLDhg0jOzubBg0a0LZtW+rUqYO5uTlQJrT/3e38s6jWlOnTpyOVStm4cSP79u3DwcGBvn37VjgnlbA+ZswY5HI5p06dorCwsML3/d76LpFIKgjrV69eFQp5vX37FhcXFyFNXIVqTKxatQptbW3GjBlDUFAQampqREREsGHDBtzc3HBzcwPK1jHVWKpbty6amppCAYGv/93Cf+O5WVdXl5s3b7J9+3ZcXFwICgrC3t4eKLtfubm5cfDgQfbt28fu3buxsLDA1dWVMWPGIJVKWb58ObNnz8bFxYUaNWr8r3/2FxERERERERERERERERERERERERERERH584iyuoiIiIiIiIiIiIiIiIiIiIiIiMh/nbt377Jv3z6cnJyYNWuWIByWTy+Li4tDKpUSEBAgCOuzZ89m586d5OXlERQUxLFjx5g9ezbm5uZoampSXFxMaGgo+fn5PHv2jB9++IHdu3dTWFhIbGwsKSkpfP78GSh7Gf7SpUvY2dnRrFkzAGrWrCnInCrKS3N/BisrK3R0dDh58iTZ2dlUr16dy5cvk5aWxty5c6lfvz63b9/m2LFjDBgwgMjISLZs2cLp06e5e/cumpqafPjwARsbGxo3bkzNmjWZPXs2ampqnDx5kpKSEi5fvoy7uzt16tRh/fr1TJ48mdTUVPLy8tDW1qagoIC6deuyZs0a4ZxlMlmFF+cBnj59yvv378nLy6Ny5cq4ubkxe/ZsNDU1iYmJYf78+YKw7ubmRocOHYiOjmb+/PlAmXgYEBAgSGX/afnr30VGRgalpaVkZWVRUlLym+mK58+fR6FQ4O/vT8eOHYW/e/ToEfv27ePGjRtcu3YNU1NTZs2ahb6+PlAmwmhra+Pg4EBsbCyvX7+mUaNGbNy4UZBl/p19WT4x/WuuXbvGtm3bKCkp4c6dO9SpU4fBgwfTuHFjNDQ08PT0xNPTk0uXLpGWlkbPnj3R19cnMDCQxMREEhMTKwjhPj4+tGrV6ptjq6hevTo2NjZcvXqVkJAQvL29BVlYKpUilUoxMTGhWrVq2NnZkZqaSqNGjdDU1ERTUxMfHx9+/vlnDA0NUSqVFaReNTU12rVrh729PTExMTx9+pRPnz5Rp04dGjduLMx5lVi7fft2UlNTCQoKEq6Dau5oampiYmJCRkYGWVlZFdas8vKMq6srMpmM+/fvC2NHIpF8V1RXSbYAQUFBREdHC9+nkqWfPHkiyKASiUQQTnV0dOjbty937tzhxYsX5OTkMGzYMHx9fVFXV+eXX34hOzubrl270rBhwwrnAvDq1SuaNWtGw4YNuXr1KgBubm74+vri7OyMRCIhIiKC4OBgHj9+jJmZGS9fviQlJYVu3brRpEkTbt68SWZmJleuXOHJkycsXrwYgCNHjjBy5Eh27txJ/fr1USqVQgGGlJQUpk+fTmlpKb169aJDhw6sXLmSjRs3cvr0aRo1asSMGTMEubxJkya0bduW8+fPY2RkhKenZ4XCGElJSUKhjuzsbHr37k1xcTEpKSlUrVqVjRs3VhCwvqZy5cosWbKEYcOGUVhYSM2aNTE0NMTJyQlHR0c+fvxIQkIC169fF9rz7t07bt++TXh4eIXk9n819bk8enp6300vLb9+7927l8OHD/PgwQMMDAyoWrUqISEh1K9fn5UrVwoJ60qlklWrVgmya1JSEteuXePnn3+mWrVq7N69mydPnlBcXCzMH9VYcXR0ZPbs2SxZsuQ3hfXKlStTuXJloX3lx/WpU6e4e/cuN2/eRCqV0qJFC2rXrk3btm0ZP348GRkZXLp0idzcXKZOnSrck1XJtxKJhLFjx3L9+nWOHTvG58+fcXR0rCA0ll/PvhbWJRIJ586dw8TEhFq1av3bJLv/FN8T1ouKilAqlbx69Yo1a9YQHh6ORCKhcePGGBsb4+7uTrdu3SgsLOTUqVNERERQqVIl2rZti1KpFApvqNa0rwsNmJmZ4eXlhVwu58SJE6xfv57S0lLatm0LIKxzKlF969atREVF8ebNGy5cuIBcLqdnz55Ur16dZs2aMWrUKMLDwzl58iSdO3dm+PDhdO3alc2bN3P48GHkcrlwr/x38p/eq5RP246KiiI6OhpHR0c6d+6MhoYGpaWlWFtbExERQZ8+fcjNzSUjI4PNmzcTFBSEnp6eUDQGygoImZmZ8eTJE96+fSvcY1Si+m8luRsaGgpCbeXKlXnw4AGHDh1CIpEICevq6uqUlJRgZmbG8uXLWbJkCadOnWLHjh1oaWnRtm1bZDJZBWFdoVAI68+fEdVV/DNRXUVKSgrHjh2jVatWjB07FltbW5YvX05kZKRQ/KlDhw74+/sjkUg4efIkixYtokWLFpw9exY9PT3CwsKE/vozRan+LGZmZnh7e6NUKisUmCgvrKvOu3w68b+zTX8GU1NTpk+fjqamJsOGDftGVC9/P9q9ezdnzpyhpKSEp0+fYmNjQ3Z2NpUqVRKePZo1a8b27dsZMWLEN8J6hw4dOHPmzO/er3+LJk2a0K1bN+Li4vjw4QNbtmxhwoQJaGlpCUVavhbW3d3dSUhI4PPnzzg4OFS4p/yRvv+tAgu/V3jh/v37TJo0CQcHBypVqsT58+fJyclh9uzZghj9R/f+KkF9+vTpFBQUIJFIBFHd0NCQbt260aBBA5YtW8bFixfx9fXF0dGRBw8e0K9fP9TU1IQ1/+tj/p3tVPH17389xssXCALw8vJCIpGwYcMG5s2bh7q6Oj/88ANQ8V7v4ODA6NGj+fHHHys8a/wRVML6nDlzWLx4MdeuXUNbW5s5c+Z8I6qrSEpKYsOGDWhpaaGjo8PgwYOFZ+KIiAgWL17MvHnzcHFxqbAXunPnDkVFRdSuXftvKWr0V1H1u6r/nj59Sl5eHkOHDsXe3l7YE8hkMhwcHPjpp5/Iycnh+PHjJCQk4OrqCsDPP/9MYWEhEolEKHAkIiIiIiIiIiIiIiIiIiIiIiIiIiIiIvL/H6KsLiIiIiIiIiIiIiIiIiIiIiIiIvJf5+XLl2RkZDB58uQKwuHOnTv58uULwcHB7Ny5kzNnziCXy5k7dy4eHh4sWrSIKVOmoKurS0pKCk2aNKFNmzYkJSVRXFxMixYtuHz5Mhs3bgTKRAOVVFdYWEhKSgoymYyBAweSnp7O+fPnUSqVyGQyGjVqJEgj5V+c/6sik4WFBXPnziUgIICEhAQSEhLQ0tLCx8eHQYMGAdC7d2+Cg4PZs2cP06ZNY9asWfTo0YNVq1Zx584dJBIJr1+/pl27diiVSkxMTJg5cyZqampERUVx+fJlPDw8aNiwIU5OTqxevRovLy9evXqFlpYWBQUFgux17949Pn36RJs2bZBIJMJL8hs3buSXX34hIyNDaHvHjh0ZMGAAo0ePRiaTcfz4cebPn4+/vz9ubm4sWrSI+vXr8/z5cywsLKhdu/Y3wu//BWrVqoW5uTmvXr2ipKQEdXX1CumRX8vmycnJtGjRgoKCAk6dOsWyZcvIycmhpKQEPT099u7dS82aNSsI2FKplEqVKqGjo4O+vj4SieQ/Iqp/zdfXzd7enoSEBNavX8+DBw84f/4858+fp2PHjjRu3JiffvqJTp06ER8fz7p161i1ahUdOnTAycnpDwnhX1O5cmXmzJnDzz//LKRTT548WZCqoUygT0pKYurUqaxbt66C7A1gbGxc4c9fY2VlxZgxY373/JVKJXl5eVy5coV58+axdu1agoODKSoqYuHChairq+Pg4MDNmzfZt28fXl5egqCrOrZEIqFGjRro6Oigrq4uJK+Xp/yfVf+8Z88edu/ejUQioX379gwaNIipU6eSm5tLXl4e165do1q1atja2nLp0iXy8/MB2LdvHyUlJUJKvGp9uXTpElKpFGNjYyZPniyI36o+XbFiBdu2bWPPnj3Mnj2b4cOH8+XLF4qLi4XfkUgkvH//nuLiYho0aEDdunU5ePAgOTk5bN68mYiICLp3787FixfR09OjUaNGABWE9VGjRrFlyxZBbgFIS0sjNzeX1q1b06FDB6AsJVTVh0lJSaSmpmJqaopSqaRGjRoMGjSIvLw8rl+/zv79+0lPT8fe3p60tDT27t3Lu3fv8PHx4dq1azx58gQrKyv69+/PqFGj/lBKa7169QgMDGT+/PmCjP/jjz9iYmLC/fv3iYiIQKlUUrlyZYKDg1mwYAEXL15k165dWFhY/G5y+9+Nag6FhoayefNmTExMaNu2LTk5Obx7904Q5FxcXARhPTY2luHDhzNy5Ejev3/P/v37yc/Px9bWFnd3d3744QeOHj0KlN2joazQg2puODg4VBDWFyxYQEBAAHZ2dt9to2qdDA0NJTw8HKlUip6eHp8/f+bu3bsYGBgwbNgwJkyYgLe3NytXruT8+fOMGDGCBg0aIJFIuHv3LqWlpcyePZvevXvTsmXLb9Jqv8fXwroqgXb//v306tWLevXq/U1X4r9HeWE9Ojqabdu2kZmZiaWlJe7u7mRlZXH16lWSkpLIz8/n8OHDAOjo6NCsWTMSExPZunUrSqWSdu3aVSjwAd8XNatUqcKsWbNQKBTExMQIn2/btm2Fzy9cuJDTp0+zZ88erl+/zooVK9i8eTOXLl2iQ4cO/PzzzwwcOJBz586xePFinJycsLGxwdramoULF+Lq6oq2tvZvioL/2ymfth0VFcWOHTvQ1tbGyckJNTU1SkpKsLGx4eDBg/Tr14+cnBxSU1MF+bu0tFQogGJoaIiRkRFaWlrfLcLwW0nuGhoaVK5cWRBqz549y7p164iMjEQqlTJkyBDs7OyE62pmZoavry9SqZSYmBihiESbNm0qCOuenp44OTkJsvFf3cd8/Zmv9w5ZWVm8ffuWoKAgoRBLUFAQOjo67Nq1C29vb0FY9/PzQyaTER0dzZMnTwDw8fGhevXqwvf9u/et3yswARWF9a/3Cv+T9tJVqlRh7ty5FfZkKr6+H5UnKyuLpKQk2rRpI4wlhUJB06ZNKwjrpaWlguyrGjt/9nmiSpUqeHt7o66uzokTJzh27Bh2dnZ06NABDQ2N7wrrV65coV69enTv3v0vpbnDbxdY+N7PlUolnz59Ij8/n4sXLwJgZ2eHn5+fIGH/0fPW0NBg4sSJ3Lhxg7NnzwJgYmKCs7Mztra2/PTTTxgbG6Otrc2hQ4dITk7m1q1b3Llzh6ZNm2JgYFChbeXb/ne2szwFBQXo6OhUkKGhbE7cu3ePR48eoaurS/fu3bGzs8PW1papU6eiVCrZuHGjcO2+J6zXrl1bOM6fbZsqoX3Lli3cvHmTSpUqCf9+4nvf5eDgwPTp01m9ejUrVqxAoVAwdOhQFixYQGlpKYcPH8bf3x9fX1+aN28OwPXr19m+fTvAf3UPUv58srKyqFy5MsnJyQDCvzOQSCQV5nqNGjXo3r07x48fZ9u2bfTu3RsTExNkMhmTJk367neLiIiIiIiIiIiIiIiIiIiIiIiIiIiIiPz/gyiri4iIiIiIiIiIiIiIiIiIiIiIiPzXefz4MQqFokI63+bNmzly5AjTp0+nY8eOKJVKFi9ezMWLF5k9ezYBAQF4enoSFxfHgQMHmDlzJkuWLCEwMJCFCxdy9uxZ0tLSGDhwIIcPH6aoqIjU1FSGDRvG7t272bt3L5cvXyYzM5PU1FRGjx6NUqnkypUryOVyxowZQ7Nmzf7ll6zLv/jfq1cv8vLyOHDgAE+fPqWoqIjbt29jampKly5dGDJkCElJSezZs4cuXbrg4OBAs2bNaNasGatWreLs2bP07t0ba2vrCml95SWnXbt2YWBggJ2dHc7OzoSFhTF69GgsLS3Jzs7Gzc2NlJQUBgwYgJ2dHRKJhNatWwOwevVq1q9fj5WVFUOGDEEqlRIbG8vp06d58uQJgwcPZvjw4SgUCqKioggODhaE9cGDB/9Tmeh/O0ZGRjg7OxMfH09gYCAhISGoqan9pmxuZmYGgLq6OmlpaRgbG2Nubs6zZ8/Iy8tj586dLFiwoIIAkJSUxJkzZ7C0tPwmRfY/JaqXF/BjYmK4efMmd+7coV69etStW5cRI0Zw5swZoqOjiYuL4/Tp01y8eJFOnTphbW3N8+fPefHiBQ4ODlStWvWfCuG/RcOGDZk3bx7z589n3bp1vH79miFDhmBiYkJycjJbt25FoVBgb29fQfz5PRH8a1S/rxLaVb/7/PlzDA0NMTU1Zfjw4Tx9+pSLFy/SpUsX0tLSaN68OR8/fsTc3Jw+ffqQkJBAfHw8tWvXpkuXLujr61dILL9y5Qo5OTlC+vs/E/ays7OJiorCwMCA3Nxc1NTUaN68Odu2bWPw4MEUFRUB8Pr1a16/fi1IXzY2NtSoUYNatWpRt25dioqK6Ny5M3l5eWRnZ6Orq8umTZuwsbGp0P9HjhwhPDycevXqIZfLMTAwoLCwEFNTU+7fvy+k2585c4Z169bh7u7OnDlzWL9+PSUlJUybNg09PT1cXFwAqF+/vnAuqn5YvHgxampqREZGMnDgQC5fvoyxsTESiYTCwkKKioq4fPkyL1++5PDhw4SHh9OsWTOMjY2Jiopi0KBBbNmyhRYtWgDg7u6OpqYmx48f59ixY4Jco6amhrGxMfPnz6d///707duXL1++oKenh6am5jcS7u/RrVs3dHV1mTdvHlFRUURFRQnjBsqSSgcPHoyXlxfPnj0DytLPN2/e/JeSYP8VoqOjhf7x8fERpPFPnz5VKKDg4uLCmjVrmDp1KteuXSMxMVEYi76+vrRr1w4oEz01NDSIiIhgyZIl1KhRg9atWyORSL4R1pctW8bly5eZNWsWO3bsoFKlShXaphpnmzdvZvPmzTRt2pTRo0fj4ODAkydPuH79Olu3bmX16tUolUomTpxIWFgY27Zt4/jx4zx9+hSZTEbTpk358ccf6dKlC1Am4v1WWu3XlJfY3N3dsbKy4s2bN2RnZ/9t1+C/TXkB9tSpU5SWltKwYUP8/f3R1NQkJSWFgoICLl26xKtXr7h58ybDhg2jY8eOLF++XEipt7e3/8OipuqYubm5nD9/Xvi8paUlEomErKwsTp48ibm5OdWqVcPGxka4jx44cIDVq1dz/vx5vL29ad26NXv37uXAgQNMnDgRXV1dJBIJP/74o3C8/2v7ChVmZmbMnDlTSNteuHChcJ76+vr4+PjQpEkTDh06xIABA3j06BGBgYHMmzfvmz3EnTt3qFOnDrq6ut8c53tJ7k5OTnTq1KnC97Rv3x6ADRs2EBERwZcvX5g3b16FdPTfE65lMplQ1OdfFdW/pvwe5f79+5SUlJCYmEjdunVp0qQJAEVFRWhqalYQkWfNmsWyZcvo0KEDvr6+1K5dm+zsbBwcHP5yMvS/wtf9p9rTtGvX7n/FGP9aVC8/N2/cuMEvv/xCixYtGDVqFDo6OixevJg7d+6wYcMGjI2NqV+/vvD7KmF9x44dDBs2jAMHDtClSxfhesJfk/XLPyNFR0ezdetW1NXVadOmzTfCulwuZ+/evXh6ejJkyBDgXxsPv3cvKv/PrVu35tSpU6Snp6NUKjE2NhaKVP3Z9a5mzZrs2bOH27dvk5OTQ5s2bTAxMUFLSwuFQsG7d+94/fo1d+7cwcHBgZ07d1JYWEiPHj2+W9zi39VOgISEBNasWUNAQADOzs4VCieFh4cDZc9PJSUlXLhwgQYNGjBgwAC6dOlSIWH9e8L61/yVsaNUKlFXV6dp06bCz37rPA0MDBg4cCASiYSwsDDCwsIAGDp0KIsWLUIikXDo0CFGjhxJ/fr1KSkpISUlhcLCQmbPni08h/83UJ1PUFAQr1+/ZsOGDVStWhWAN2/eAFR4nlHRsmVLGjVqxIMHD4Bv14Py3y0iIiIiIiIiIiIiIiIiIiIiIiIiIiIi8v8XoqwuIiIiIiIiIiIiIiIiIiIiIiIi8l/HwcEBXV1dnj9/DkBsbCybNm2iVatWeHp6oqWlRaNGjVBXV6e0tJSrV68KiV61atUiPz+fhw8f4uvry+bNm9HR0cHIyIgXL16gpaXFgAED2L17NydPnsTe3p7Ro0ezdOlSkpOTGTFiBG5ubjRp0gQNDQ1KS0u5cuUKP/300798XuWFmvT0dD5//kz79u0ZPHgwly9f5pdffiE+Pp7Y2FguXryIl5cXPXr04P79+wQGBrJlyxZBNpo6dSp9+/YVXiAvL1CYmZnh7e2NQqEgOjoauVxO7969adu2LbVr1yYoKIgNGzYglUqpW7cuBgYGtG3blkuXLrFx40aUSiV16tThzJkzNGjQgMDAQOzt7QEYMmQIe/bs4eDBg4KEOH78eIqKijhz5gxLlizB19dXSLIsz/+1l9T19PSYNWsWN27c4Pjx42hpaf2ubK6rq4tSqUQmkzFhwgTGjRuHVCrl5s2bTJw4kYiICN6/f8+AAQOwsbHh4cOHbNu2jaysLGbMmIGlpeV//ByVSqUwZsPCwgT5TENDgwcPHtCsWTM6dOjATz/9RMeOHXn+/Dnr168XhHY1NTU+ffpEVFQUDg4OQjr594TwPzI+unfvjoGBAQEBAZw4cYITJ04I36VKDm/ZsqXw+39WKvpeguS9e/fo168frVq1YuHChdSuXZstW7bQtWtX0tPTMTU1ZezYsZibmwNlCYO9evUiPDyc9evXk5ubS/fu3alSpQoAN2/eZNu2bWhrawvi1T9r58ePH/n111/p1KkTt2/fJi0tDYlEwooVKygqKkJHR4dGjRohlUp59eoVbm5uHDx4kCZNmghpp+/evWPXrl28efMGmUyGjo4OGzduFNImVf1/7949Xr58SbVq1QQp+datW8jlcuzt7alRowYJCQlMmjSJtLQ03N3dmT59Op8+feLcuXN8+fKFtLQ0Zs+ejVKpFK6NCplMJgg+QUFBfPnyhZo1a2JiYiL8TseOHenXrx8RERF069aN0tJS2rRpg5eXF46OjhgZGbF7925+/vlntm7diru7OwBubm44OTkJBQM+f/5MvXr1sLa2Fs5TR0cHPT29PzUuyre9Q4cOODk5cfjwYQ4ePMiHDx8wMDCgfv36zJw5k7CwMB4+fIhcLqdmzZqsXbsWW1vbv3S8f4XExETU1dUZP348dnZ2wv2nvDiemppKVlYWLi4u7Nmzh7Vr1/Lx40eqVKmCmZkZOjo6REREULNmTdzc3FiwYAESiYQDBw4IqaHu7u4Vkn8dHByYOXMmOTk5eHp6fiOqq0hJSWHfvn1Ur14dPz8/4R5jYmJC48aNcXBwwMfHh7Vr12Jqakq/fv2YOHEi/fr1E6RXbW1t4Vqqjv9HRHUVqrVjz549XLt2DXNzcyEt9f8KpqamQppwdHQ0L1++5Pr167Rs2VIYl3Xq1AEgIyNDWKemTZv2h1Lqv0dOTg6XLl1CT0+PBg0aVPi8mpoaWlpayGQy4R5Qp04dateuTZ8+fVixYgXx8fFMmTKFdu3aIZFIuHz5Mj169MDJyekbOfD/2r6iPCqR/NGjRzx9+hSJREKlSpVITU1l3LhxLFq0iM6dO/PLL78waNAg9u/fT3p6Oj///DNmZmY8fPiQnTt3kpeXR69evX5z3fta4N2+fTtaWlrfpKJ7eHigUCgICQmhfv36FUR1Fb8nXH9dGOTvkMDL71HWr1/Pjh07KCkpobi4GLlczpkzZ+jUqROamprCulFeWPf29mbZsmV4eHgwfPjwCt/93yiEoOo/NTU1jh07RnZ29p8qFvE/hfL3/by8PF6+fElhYSFTpkwRitiEhoYSFBREfHw8ixYtwtfXF1dX1wrCepMmTdiyZQspKSkVRPV/BdUzkqoQRPmiCuWF9YCAADp37oybm5twTv+pwgXGxsYYGxtX+NnXe6k/irW1dYViOW/evMHS0pIHDx4wZswYSktLyc/P5/HjxxQUFDB79uw/XKzh72pnQUEB27dv5/bt2yxatIg5c+bg6OhIZGQk4eHhuLu7M3ToUGrUqMG1a9c4d+4c8fHxvHz5ktLSUnr06MHUqVORSCSsX7+egIAAlEolvXr1+lPt+D2+1w+qe1h5VOuGvr4+AwYMAPhGWA8ODkYmk3HgwAGeP3+OlZUVc+fOxdjYWBDV/5uFWIqLi7l27RofPnwgJSVF2CPs3LmTzp07Y2RkJOwpyz/LFRcXI5PJ/lQRKBERERERERERERERERERERERERERERGR//tIlN/7ryoiIiIiIiIiIiIiIiIiIiIiIiIiIv9BPn78yMmTJ2ndujXW1taMGzeO69evs3Hjxv/H3n3H13g+/h9/n+xE7CRWzFg1IlbQWrUVtWc/qFlt7b2pvalNjdIapbX3jFWbomZtQSNEEELW+f3hl/ubI0GiIsHr+Xh4PHKv677u+9zn5ORyva9L3t7ekqSnT5+qdu3aSpcundKkSaMcOXIoXbp0OnjwoK5evaobN27o5s2bcnFx0d27d1W4cGE5Ojpq7969ypMnj7y9vfXzzz9Lkrp3764WLVoYwdoUKVIYodpDhw4pKCjImFXyTUUNqi9YsEArV67UuXPnlDZtWpUtW1bdu3eXk5OTfHx8NHbsWF25ckU5cuRQxYoVderUKZ09e1bffvutGjduLMkyoPWyMIG/v79GjRqljRs3ytHRUZ988omsrKx07tw5PXz4UL179zbCOf7+/ho9erQ2bNigokWL6rPPPtOPP/6ooUOHqk6dOjKbzYqIiJC1tbXu3r2rRYsWae7cuSpQoIBmzJihhw8favTo0dq8ebPc3d21ZMkSubq6/qd79r44dOiQvv/+ez169Ehly5aNFjY/deqUhg0bpnr16kmK+fU6efKkunTpYsxaF8nBwUHdunV7K7M6/hcLFy7UiBEjVKpUKX333XdKnz69Ll26pMyZMxsh+si6BQYG6tatW1qwYIEOHz6sW7duycXFRXPmzHlrQVBfX19t2LBB//zzjwICApQvXz55e3sboeW3GfI4ePCg+vbtq5s3b6py5crq37+/Ll68qBYtWsjJyUlPnjxR2bJl9cMPPxhBz4cPH2revHlavny5AgIClClTJn366ad68uSJduzYoUePHqlv375q1qxZrOrw119/qVGjRipfvrysrKy0detWpUyZ0pglu1evXqpVq5bGjh2ruXPnqkiRIjp69KiGDh2qWrVqacOGDZo0aZKsra11/fp1Zc6cWZMnT472ekycOFE//fST0qVLp7Rp02rRokUym826e/euGjVqpOTJk2vUqFH69ttv5evrq6RJk6pcuXLKkyePEboxmUxq1KiRBg8e/Mpriuk1ioiIsAgfVq9eXVevXpXZbNbYsWONGbQlacSIEVq4cKEkWQTWX+Vtv3+CgoL08OFDJUuWTPb29rK2ttb06dP166+/ysHBQfPnz1fWrFnf2vniUq8vv/xSNjY2WrNmjezt7aMFyAICAjRo0CBt375dv/zyiwoXLqywsDBZW1trypQp+umnnxQaGipJSps2rf73v/+pdevWkqSBAwdq2bJlSpYsmSZOnBjj++7+/ftKmTKlpJjv++7du9W2bVt16dJF33zzjSIiIiRZ/m5bunSphg0bpk8//VQTJkyQs7OzxTkif/6vr+u5c+fUq1cvTZgwIUEGFngX/Pz8NH78eK1du1ZeXl5q27atPv/8c0kyQryRIu9ncHBwnML/kfz9/TV48GDt2bNHefPm1TfffKMyZcrIZDLp0aNHql27tpIlS6Zly5bJ2tpaJpPJ+I707NkzHTt2TEuWLNHWrVtlZ2enZ8+eqXTp0po9e/bbvzGJ3KVLl9SyZUtFRETo7t278vLykqOjo/788085Ojpq9OjRqlSpkq5du6avvvpKd+/elbOzs0VosH379rH6DhH1e2CBAgX0zTffqGzZspIsZ9K9cePGa2dH9/f317hx47R69WrlyJFDM2bMiNfA9YwZM/Tjjz8qZcqUypYtm06cOKHw8HCVK1dOHTp0MH7XRX3WI3+HWFtba8KECapcuXK81S+u7ty5o8GDB6tEiRLGa/c+Gj9+vFauXKnChQvr0aNHmjdvnsLDwxURESFbW1vdunVLQ4cO1c6dO5UvXz717dvXmGE9psFuov4t9V+96nmPDKzHx3kT0qlTp9S+fXvlzJlTISEhOnDggLEtZ86catWqlWrWrCmTyfROw9Lh4eH6559/NGnSJPn4+MjLy0vDhw/Xxo0btWjRIs2fP9/i++qNGze0ZMkSzZs3T7ly5VL//v1VtGhRSdK0adM0ZcoUSdL69evfye/0tWvXKlOmTCpQoIAky+9Cjx490tKlSzVx4kQ5ODioc+fOatasmcxmswYOHKjly5crW7ZsWrZsWbTBdxLSqlWr1KdPH1WvXl1jx47VN998o127dqlo0aKaOnVqtMFKDh06pJYtW6ps2bIaP368bG1tE/waAAAAAAAAAABA4sDM6gAAAAAAAAASXOrUqdWkSRNZWVnp0qVL8vHxUd26deXt7W0EBnx8fHT58mW1atVK6dOn15gxY3Tu3DmLcuzs7PTgwQMlT55crVu3Vp48eTRkyBBt375dktSyZUvNmzdP48aNkyS1bt1aKVOmlMlkMoI5UWfye9PO45Ehb0lGmNTe3l7ZsmXTw4cPtXTpUgUEBKhfv34qV66ccufOre3bt2vZsmWaOXOmUqVKpbt372r79u364osvjABgpJcFj1xdXdW7d2/Z2Nho48aNOnLkiIoUKaKvvvpKXl5eFrO3Rc7mGDnT4OXLl+Xo6GiEb8PDw42gkouLixo0aKCTJ09q3759Wr58uVq0aKFOnTopKChIn3766UcTVJckb29vzZ07V126dJGPj498fHyMbQ4ODurXr98rg+qS5OnpqUWLFmnnzp36+++/FRgYKE9PTxUsWNAYoCGhwgt+fn5atWqVMftqnjx5JMl4NiLdu3dPDg4OSpEihVKkSKHRo0frxIkT8vHx0YwZM/T3338rd+7cbyUw7O7urrZt28a47W3fp8KFC2vkyJEaNmyYNm/eLElq0qSJRo8eLScnJ02dOlU+Pj7q27evRowYoTRp0ihZsmRq3bq1PDw8tHr1au3du1fXrl2Tra2tPDw81Lx5c2PGx9jUN2PGjMqQIYNu376t8ePHa/fu3QoICJCDg4MGDRpkhOzy5s0rs9mss2fPysXFRdmzZ9fDhw919uxZ3bp1S/ny5VOzZs309ddfK3369NHOkytXLllbW+vmzZtKkiSJ/P395erqKkdHR+XJk0dbt25V165ddfPmTaVOnVrBwcFas2aN1q1bJ7PZrAoVKmjHjh3Knz//a+/riyHjF0NpP/30ky5evKh06dLp9u3b6tu3r9KnTy8vLy9Jspgdt1WrVpo3b54+/fRTHT9+XM7OzsqePXu05+xtBtXNZrOcnZ1lbW2tdevWaenSpQoJCdGlS5eUPn16zZw5M0GC6pEcHBzk5+enq1evKnfu3NGu/f79+9q6davxmV+4cGFZW1tr5syZmj59utzd3VWyZEndvn1be/bs0bhx4/TkyRN17NhRQ4YMkdls1vLly9WlSxcjsB51hvVXBdWl50FBSbK3t5f0/LV5cb9SpUopd+7c2r17ty5fvixPT88YZ9X+r69r7ty5tWzZMqMuH6I0adKoR48eioiIMGa8NpvNr5zx+k2C6tLz7x6DBw82gqBRZy5OmjSpbG1tFRoaqqdPnxrhPGtra4WFhcne3l4lSpRQiRIltGLFCm3btk07duwwZmP+0L34++D+/fvy8/PThAkTtGvXLiP8XadOHa1YsUI9e/aUJFWqVEmLFy9WkyZNdPfuXWXPnl2jRo1S8uTJjWD5637XvDgretTXzcbGxgh6vy6oHllWt27d9OjRI5UoUeKtB9WjhocDAgK0detWeXt7q2/fvsqdO7dWrVqlBQsWaPv27UqZMqW+/vprZc+e3Xj2ImdYDw8P16JFi3T37t23Wr//ys3NTePHj3/j92BiEBISouDgYAUHB2vz5s1KmjSpLl++rGzZssna2loRERFKnz69BgwYIEnauXOnRowYoX79+snT09MYyCKqtxkYf/F5nzt3riIiIlSuXDmLoPrbPm9CMZvNCggI0JMnT7Rnzx5JUrZs2VS9enWVKVNGqVOnVpo0ad5pUP3SpUuSJA8PD2XLlk3dunVTaGio9u3bp969e+vu3bsqUKCAEVSPfN9nzJhRLVq00OPHj7Vs2TL9+eefRlj9+++/15MnT5QyZcp3ElRfvHixhgwZosqVK+ubb75Rnjx5LL4LJU2aVA0aNNCzZ880bdo0TZs2TREREfr66681dOhQPXz4UPnz5zd+F0p6p3/rvWwghpIlS8rLy0tr167Vl19+qZEjR6pVq1Y6fPiwWrRooREjRsjV1VWpU6fWvn37NHPmTIWFhalGjRof9HcpAAAAAAAAAAAQd4TVAQAAAAAAACQKkR21AwICJElPnjyR9DwwcPToUc2ePVspU6aUm5ubvvvuOwUHB8vNzU0dOnRQsmTJNGjQIAUGBsrGxkYPHjzQlClTNHr0aA0cOFAmk0nbtm2TlZWVvv76a/38888aN26czGazMXNsZDA7pjq96bX89NNPxgzAnTp1Uu7cubV//3798MMP2rFjh8LCwjRo0CClT59ejRo1UoMGDTRhwgQdPHhQd+/e1Z9//qmLFy8aHfJjIzIwZG1trRUrVih58uRq1apVjLO3RYbbra2ttXHjRoWGhmrv3r367LPPZGNjYxGWSZcunVq3bq0///xT165dk/Q89DBp0iQlTZpU0vsZrnlTbyNsnjZtWjVu3DjGbQk5y969e/d04cIF1atXT3ny5ImxLlevXtWMGTNkZ2envn37ys7OTtbW1ipQoICcnZ21fPly/fzzz6pSpYpFIOO/iHy+zGazpP8LWL7t+2RjY6MiRYqoT58+Gjt2rDZv3iyz2awePXooY8aMypIli7p27ap9+/apX79+Gj58uNKkSSNnZ2dVr15dNWrU0MGDBxUSEiJXV1clT55c6dKlkxT719XJyckIi3fo0EFPnz41ZiFev369HB0dlSpVKiNM//jxY/Xq1csIdvfq1UutW7dW8uTJZTabZWtra9y3qPfviy++kL29vbp3764LFy5o7NixGjNmjJydndW5c2cdOnRIFy9eVIYMGTR48GA9evRIO3bsUM6cOWVlZaXffvtNLi4usQ5pR/18iCmo7OfnpxYtWmjWrFlatmyZmjdvroULFxqzV0YNrLds2VKtW7fWqlWrFBERoaVLlypTpkyxqsebiKxveHi4tm/frgsXLsjd3V0NGzZUq1at4nUW4Ugve36cnZ1VuHBhLV++XFu3bpW7u7vF+y4sLEzJkiWTl5eXjh8/rs2bN6tkyZIqVKiQMavpkCFDlDNnTj18+FBbt27VgAEDNH36dElSx44dNXToUEnS8uXL1b17d40ZM0alSpWKVp+X/Q5IkiSJJOn48eOqU6eOkiVLFm2fDBkyKE+ePPr777/1+PHjN7tJsfQxhKsiw5nW1tZavXq1Hjx4oJw5c772WX2T3+MvCz6XLFlSjo6Oevz4sRYsWKBSpUopSZIk8vDwiPa9q06dOipWrJg6deqkXLlySfqwv1dEDQ2eOnVKoaGhOnDggPLnz6/KlSurSJEiCgwMVMmSJdW0aVM5Oztr4cKFFoH1RYsWqW7durp48aKePXsW66B6pFcFeF82qMHLxGfgOvI++fj4KDw8XGfPntX48eONUGutWrXk7OysadOm6ff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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(3, 3, figsize=(40,60), constrained_layout=True)\n", "for i in range(3):\n", " for j in range(3):\n", " if 3*i + j < len(cat_features):\n", " df[cat_features[3*i + j]].value_counts().sort_index().plot.bar(ax=ax[i, j])\n", " ax[i, j].tick_params('x', rotation=45)\n", " ax[i, j].tick_params(labelsize=16)\n", " ax[i, j].set_title(cat_features[3*i + j], size=30)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "rV6QBBqDdKUm", "outputId": "959924d6-717b-415c-975f-067292572a87" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(2, 3, figsize=(10,10), constrained_layout=True)\n", "for i in range(2):\n", " for j in range(3):\n", " if 2*i + j < len(num_features):\n", " df[num_features[2*i + j]].hist(bins=10, ax=ax[i, j])\n", " ax[i, j].tick_params('x', rotation=45)\n", " ax[i, j].set_title(num_features[2*i + j],size=10)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 536 }, "id": "uEt1gTraQUrv", "outputId": "1baa91ad-ba69-4ee9-b914-0b18f01ea722" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/y0/rgr2l6md3fn37h8vzc_vdb2h0000gn/T/ipykernel_23486/831934279.py:8: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n", " ax.set_xticklabels(ax.get_xticklabels(), rotation=0, ha=\"right\")\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize =(7,5))\n", "ax = sns.countplot(data = df, x = 'label')\n", "plt.xticks(size = 12)\n", "plt.xlabel('label', size = 14)\n", "plt.yticks(size = 12)\n", "plt.ylabel('Count', size = 12)\n", "plt.title(\"Composition of Reported Fraud Data\", size = 16)\n", "ax.set_xticklabels(ax.get_xticklabels(), rotation=0, ha=\"right\")\n", "\n", "total = len(df)\n", "for p in ax.patches:\n", " percentage = '{:.1f}%'.format(100 * p.get_height()/total)\n", " x = p.get_x() + p.get_width()/2\n", " y = p.get_height()\n", " ax.annotate(percentage, (x, y), ha='center')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "u3mcxYXVLKZ8" }, "source": [ "# Pre-Pipeline\n", "- Define feature & label\n", "- Split the data\n", "- Define categorical & numerical feature\n", "- Define encoder and scaler for preprocessing in the pipeline" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "id": "sCXu3yxXFroH" }, "outputs": [], "source": [ "df =df.drop(['email'], axis=1)\n", "\n", "label = df['label']\n", "data = df.drop(['label'], axis=1)\n", "feature_names = data.columns" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "id": "EPd4LyN-Fi13" }, "outputs": [], "source": [ "x_train, x_test, y_train, y_test = train_test_split(data,label, train_size=0.8, random_state=1)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 424 }, "id": "GiROxL79F2rC", "outputId": "a7bcbed4-a5a2-493c-f971-b07bf6513403" }, "outputs": [ { "data": { "text/html": [ "
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member_namegenderlocationemployerrelationshippatient_namepatient_suffixpatient_dobcauseFee Chargedmembership_periodnumber_of_claimsnumber_of_dependants
4815KondefemaleRusapeDabvineMotherSithole19410/12/1975Road Traffic Accident11100816634
3059EvansmaleBinduraDabtypeSisterChisa6185/10/1986Accident At Home36819532731
985BimafemaleGwandaChatterpointMotherGura8689/23/1985Accident At Work15495113154
6022MirwafemaleNyangaJabbertypeUncleMabhena32111/26/1984Other25645634162
6630SibandafemaleKwekweZoomzoneWifeBima22510/27/1967Road Traffic Accident46128753643
..........................................
905DihwafemaleMutareZoomdogWifeSithole6821/23/1986Other42199613854
5192MoyofemaleBinduraBrainloungeBrotherSamvura4798/23/1971Accident At Home4245337642
3980SamvuramaleKadomaKazioSisterNyoni31810/8/2007Accident At Home22514391224
235GutefemaleMaronderaOodooFatherBima1289/15/1971Accident At Home33672667341
5157ChisafemaleHarareGigaclubNieceDihwa2691/20/1989Accident At Work17133897413
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5600 rows × 13 columns

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" ], "text/plain": [ " member_name gender location employer relationship patient_name \\\n", "4815 Konde female Rusape Dabvine Mother Sithole \n", "3059 Evans male Bindura Dabtype Sister Chisa \n", "985 Bima female Gwanda Chatterpoint Mother Gura \n", "6022 Mirwa female Nyanga Jabbertype Uncle Mabhena \n", "6630 Sibanda female Kwekwe Zoomzone Wife Bima \n", "... ... ... ... ... ... ... \n", "905 Dihwa female Mutare Zoomdog Wife Sithole \n", "5192 Moyo female Bindura Brainlounge Brother Samvura \n", "3980 Samvura male Kadoma Kazio Sister Nyoni \n", "235 Gute female Marondera Oodoo Father Bima \n", "5157 Chisa female Harare Gigaclub Niece Dihwa \n", "\n", " patient_suffix patient_dob cause Fee Charged \\\n", "4815 194 10/12/1975 Road Traffic Accident 11100 \n", "3059 618 5/10/1986 Accident At Home 36819 \n", "985 868 9/23/1985 Accident At Work 15495 \n", "6022 321 11/26/1984 Other 25645 \n", "6630 225 10/27/1967 Road Traffic Accident 46128 \n", "... ... ... ... ... \n", "905 682 1/23/1986 Other 42199 \n", "5192 479 8/23/1971 Accident At Home 42453 \n", "3980 318 10/8/2007 Accident At Home 22514 \n", "235 128 9/15/1971 Accident At Home 33672 \n", "5157 269 1/20/1989 Accident At Work 17133 \n", "\n", " membership_period number_of_claims number_of_dependants \n", "4815 8166 3 4 \n", "3059 5327 3 1 \n", "985 1131 5 4 \n", "6022 6341 6 2 \n", "6630 7536 4 3 \n", "... ... ... ... \n", "905 6138 5 4 \n", "5192 376 4 2 \n", "3980 3912 2 4 \n", "235 6673 4 1 \n", "5157 8974 1 3 \n", "\n", "[5600 rows x 13 columns]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_train" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "dPbV_hnIF3jD", "outputId": "f62283f6-fca1-4103-ef1a-04d8e245b10d" }, "outputs": [ { "data": { "text/plain": [ "4815 0\n", "3059 0\n", "985 0\n", "6022 0\n", "6630 0\n", " ..\n", "905 0\n", "5192 0\n", "3980 0\n", "235 1\n", "5157 0\n", "Name: label, Length: 5600, dtype: int64" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_train" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "id": "qyoBKZOidLh7" }, "outputs": [], "source": [ "# Define preprocessor for one-hot encoding and min-max scaling\n", "cat_col = ['member_name','gender','location','employer','relationship','patient_name','patient_dob','cause']\n", "num_col = ['patient_suffix','Fee Charged','membership_period','number_of_claims','number_of_dependants']\n", "\n", "### Transformers for numerical data\n", "numerical_transformer = Pipeline(steps=[('Scaler', MinMaxScaler())])\n", "\n", "### Transformers for categorical data\n", "categorical_transformer = Pipeline(steps=[('Encoder', OneHotEncoder(handle_unknown='ignore'))])\n", "\n", "### Combine pipelines using ColumnTransformer\n", "preprocessing = ColumnTransformer(transformers=[('Numerical', numerical_transformer, num_col),\n", " ('Categorical', categorical_transformer, cat_col)],\n", " remainder='passthrough')" ] }, { "cell_type": "markdown", "metadata": { "id": "RCoKMeNpLVrO" }, "source": [ "# PIPELINE\n", "- Decision Tree\n", "- Random Forest\n", "- XGBoost\n", "- Approximating XGBoost" ] }, { "cell_type": "markdown", "metadata": { "id": "uVqtjcmtjm2U" }, "source": [ "## DECISION TREE" ] }, { "cell_type": "markdown", "metadata": { "id": "stcCnncWHwUF" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Hv-1VcHeuYiU", "outputId": "7b5ade56-084d-4380-c3e0-5e8c0626e494" }, "outputs": [ { "data": { "text/html": [ "
Pipeline(steps=[('preprocessing',\n",
       "                 ColumnTransformer(remainder='passthrough',\n",
       "                                   transformers=[('Numerical',\n",
       "                                                  Pipeline(steps=[('Scaler',\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  ['patient_suffix',\n",
       "                                                   'Fee Charged',\n",
       "                                                   'membership_period',\n",
       "                                                   'number_of_claims',\n",
       "                                                   'number_of_dependants']),\n",
       "                                                 ('Categorical',\n",
       "                                                  Pipeline(steps=[('Encoder',\n",
       "                                                                   OneHotEncoder(handle_unknown='ignore'))]),\n",
       "                                                  ['member_name', 'gender',\n",
       "                                                   '...\n",
       "                                                   'patient_name',\n",
       "                                                   'patient_dob', 'cause'])])),\n",
       "                ('oversampling', SMOTE(random_state=1)),\n",
       "                ('grid_search',\n",
       "                 GridSearchCV(cv=5,\n",
       "                              estimator=DecisionTreeClassifier(criterion='entropy'),\n",
       "                              param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n",
       "                                          'min_samples_leaf': (50, 100, 150,\n",
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       "                                                               350, 400, 450,\n",
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       "                                                                200, 250, 300,\n",
       "                                                                350, 400, 450,\n",
       "                                                                500)},\n",
       "                              scoring='roc_auc'))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "Pipeline(steps=[('preprocessing',\n", " ColumnTransformer(remainder='passthrough',\n", " transformers=[('Numerical',\n", " Pipeline(steps=[('Scaler',\n", " MinMaxScaler())]),\n", " ['patient_suffix',\n", " 'Fee Charged',\n", " 'membership_period',\n", " 'number_of_claims',\n", " 'number_of_dependants']),\n", " ('Categorical',\n", " Pipeline(steps=[('Encoder',\n", " OneHotEncoder(handle_unknown='ignore'))]),\n", " ['member_name', 'gender',\n", " '...\n", " 'patient_name',\n", " 'patient_dob', 'cause'])])),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search',\n", " GridSearchCV(cv=5,\n", " estimator=DecisionTreeClassifier(criterion='entropy'),\n", " param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n", " 'min_samples_leaf': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500),\n", " 'min_samples_split': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500)},\n", " scoring='roc_auc'))])" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "param_dt = {'max_depth': np.arange(5, 10),\n", " 'min_samples_leaf': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500),\n", " 'min_samples_split': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500)}\n", "\n", "# Create pipelines with SMOTE for each model (nested GridSearchCV)\n", "dt_grid = GridSearchCV(DecisionTreeClassifier(criterion='entropy'), param_grid=param_dt, scoring='roc_auc', cv=5)\n", "\n", "dt_pipeline = ImbPipeline([\n", " ('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search', dt_grid)\n", "])\n", "\n", "dt_pipeline.fit(x_train, y_train)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Cx7YgZV9kRpZ", "outputId": "0570cc72-2908-4fa2-df14-ec49d9a0d8ed" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best hyperparameters: {'max_depth': 9, 'min_samples_leaf': 50, 'min_samples_split': 50}\n" ] } ], "source": [ "# Mengakses hyperparameter terbaik dari GridSearchCV\n", "best_params = dt_pipeline.named_steps['grid_search'].best_params_\n", "print(\"Best hyperparameters:\", best_params)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fF_yEVPFpDNQ", "outputId": "d9db12c5-70a1-4efa-bc9e-99c047464fb7" }, "outputs": [ { "data": { "text/html": [ "
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mean_fit_timestd_fit_timemean_score_timestd_score_timeparam_max_depthparam_min_samples_leafparam_min_samples_splitparamssplit0_test_scoresplit1_test_scoresplit2_test_scoresplit3_test_scoresplit4_test_scoremean_test_scorestd_test_scorerank_test_score
4000.1874550.0000030.0000000.00000095050{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.5282580.8077000.8548670.8417270.8362270.7737560.1237121
4010.1812070.0076530.0031240.006248950100{'max_depth': 9, 'min_samples_leaf': 50, 'min_...0.5282580.8077000.8548670.8417270.8362270.7737560.1237121
4210.1655860.0076510.0000000.0000009150100{'max_depth': 9, 'min_samples_leaf': 150, 'min...0.5162820.7899450.8646530.8503750.8472430.7737000.1312163
4240.1624620.0076530.0031230.0062479150250{'max_depth': 9, 'min_samples_leaf': 150, 'min...0.5162820.7899450.8646530.8503750.8472430.7737000.1312163
4230.1624630.0076530.0031240.0062479150200{'max_depth': 9, 'min_samples_leaf': 150, 'min...0.5162820.7899450.8646530.8503750.8472430.7737000.1312163
...................................................
100.1209640.0063230.0011970.001466510050{'max_depth': 5, 'min_samples_leaf': 100, 'min...0.4896600.6913410.6969010.6956290.6859790.6519020.081211493
160.1122590.0077780.0039220.0059175100350{'max_depth': 5, 'min_samples_leaf': 100, 'min...0.4896600.6925080.6965330.6949900.6851720.6517730.081150497
170.1120210.0068440.0037230.0060615100400{'max_depth': 5, 'min_samples_leaf': 100, 'min...0.4896600.6925080.6965330.6949900.6851720.6517730.081150497
180.1165530.0088900.0020860.0011395100450{'max_depth': 5, 'min_samples_leaf': 100, 'min...0.4896600.6925080.6965330.6949900.6851720.6517730.081150497
140.1196520.0111250.0013430.0013735100250{'max_depth': 5, 'min_samples_leaf': 100, 'min...0.4896600.6907720.6967800.6955840.6859630.6517520.081136500
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500 rows × 16 columns

\n", "
" ], "text/plain": [ " mean_fit_time std_fit_time mean_score_time std_score_time \\\n", "400 0.187455 0.000003 0.000000 0.000000 \n", "401 0.181207 0.007653 0.003124 0.006248 \n", "421 0.165586 0.007651 0.000000 0.000000 \n", "424 0.162462 0.007653 0.003123 0.006247 \n", "423 0.162463 0.007653 0.003124 0.006247 \n", ".. ... ... ... ... \n", "10 0.120964 0.006323 0.001197 0.001466 \n", "16 0.112259 0.007778 0.003922 0.005917 \n", "17 0.112021 0.006844 0.003723 0.006061 \n", "18 0.116553 0.008890 0.002086 0.001139 \n", "14 0.119652 0.011125 0.001343 0.001373 \n", "\n", " param_max_depth param_min_samples_leaf param_min_samples_split \\\n", "400 9 50 50 \n", "401 9 50 100 \n", "421 9 150 100 \n", "424 9 150 250 \n", "423 9 150 200 \n", ".. ... ... ... \n", "10 5 100 50 \n", "16 5 100 350 \n", "17 5 100 400 \n", "18 5 100 450 \n", "14 5 100 250 \n", "\n", " params split0_test_score \\\n", "400 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.528258 \n", "401 {'max_depth': 9, 'min_samples_leaf': 50, 'min_... 0.528258 \n", "421 {'max_depth': 9, 'min_samples_leaf': 150, 'min... 0.516282 \n", "424 {'max_depth': 9, 'min_samples_leaf': 150, 'min... 0.516282 \n", "423 {'max_depth': 9, 'min_samples_leaf': 150, 'min... 0.516282 \n", ".. ... ... \n", "10 {'max_depth': 5, 'min_samples_leaf': 100, 'min... 0.489660 \n", "16 {'max_depth': 5, 'min_samples_leaf': 100, 'min... 0.489660 \n", "17 {'max_depth': 5, 'min_samples_leaf': 100, 'min... 0.489660 \n", "18 {'max_depth': 5, 'min_samples_leaf': 100, 'min... 0.489660 \n", "14 {'max_depth': 5, 'min_samples_leaf': 100, 'min... 0.489660 \n", "\n", " split1_test_score split2_test_score split3_test_score \\\n", "400 0.807700 0.854867 0.841727 \n", "401 0.807700 0.854867 0.841727 \n", "421 0.789945 0.864653 0.850375 \n", "424 0.789945 0.864653 0.850375 \n", "423 0.789945 0.864653 0.850375 \n", ".. ... ... ... \n", "10 0.691341 0.696901 0.695629 \n", "16 0.692508 0.696533 0.694990 \n", "17 0.692508 0.696533 0.694990 \n", "18 0.692508 0.696533 0.694990 \n", "14 0.690772 0.696780 0.695584 \n", "\n", " split4_test_score mean_test_score std_test_score rank_test_score \n", "400 0.836227 0.773756 0.123712 1 \n", "401 0.836227 0.773756 0.123712 1 \n", "421 0.847243 0.773700 0.131216 3 \n", "424 0.847243 0.773700 0.131216 3 \n", "423 0.847243 0.773700 0.131216 3 \n", ".. ... ... ... ... \n", "10 0.685979 0.651902 0.081211 493 \n", "16 0.685172 0.651773 0.081150 497 \n", "17 0.685172 0.651773 0.081150 497 \n", "18 0.685172 0.651773 0.081150 497 \n", "14 0.685963 0.651752 0.081136 500 \n", "\n", "[500 rows x 16 columns]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(dt_pipeline.named_steps['grid_search'].cv_results_).sort_values(\"rank_test_score\", ascending=True)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "uRt2-L6JLIcA", "outputId": "0fbce983-6677-4c88-fdc9-4e2bebd824e3" }, "outputs": [ { "data": { "text/plain": [ "['model_dt7.h5']" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(dt_pipeline, 'model_dt7.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "ldBrOI4PHpJ5" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "PLf9eMG1HpKG", "outputId": "1f4b82f9-c694-44cb-e95b-a737d37b85f6" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.81 0.76 0.79 1132\n", " 1 0.20 0.26 0.23 268\n", "\n", " accuracy 0.67 1400\n", " macro avg 0.51 0.51 0.51 1400\n", "weighted avg 0.70 0.67 0.68 1400\n", "\n" ] } ], "source": [ "train_dt = dt_pipeline.predict(x_test)\n", "print(classification_report(y_test, train_dt))" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 482 }, "id": "b4bpgeA7HpKG", "outputId": "50110e5a-9059-4ddc-deeb-40ae8713c3a7" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test, train_dt)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix of Decision Tree Model\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "aCJYYsrnHpKH", "outputId": "bccef964-c580-43ed-8024-32d7b0352936" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 0.5212080059068616\n", "Specificity: 0.7632508833922261\n", "Sensitivity: 0.2574626865671642\n" ] } ], "source": [ "# Calculate ROC AUC\n", "probabilities = dt_pipeline.predict_proba(x_test)[:, 1]\n", "roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 458 }, "id": "-jkiKXcxHpKH", "outputId": "118bad97-3e5f-4326-f47f-40b87c5165d8" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration1\n", "ROC_AUC = 0.5212080059068616\n", "Specificity = 0.7632508833922261\n", "Sensitivity = 0.2574626865671642\n", " \n", "iteration2\n", "ROC_AUC = 0.5212080059068616\n", "Specificity = 0.7632508833922261\n", "Sensitivity = 0.2574626865671642\n", " \n", "iteration3\n", "ROC_AUC = 0.5212080059068616\n", "Specificity = 0.7632508833922261\n", "Sensitivity = 0.2574626865671642\n", " \n", "iteration4\n", "ROC_AUC = 0.5212080059068616\n", "Specificity = 0.7632508833922261\n", "Sensitivity = 0.2574626865671642\n", " \n", "iteration5\n", "ROC_AUC = 0.5212080059068616\n", "Specificity = 0.7632508833922261\n", "Sensitivity = 0.2574626865671642\n", " \n" ] } ], "source": [ "model_dt = DecisionTreeClassifier(criterion='entropy',**dt_pipeline.named_steps['grid_search'].best_params_)\n", "\n", "dt_pipeline = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('model', model_dt)])\n", "\n", "roc_auc = []\n", "specificity = []\n", "sensitivity = []\n", "\n", "for i in range(5):\n", " dt_pipeline.fit(x_train, y_train)\n", " \n", " train_dt = dt_pipeline.predict(x_test)\n", " \n", " # Calculate ROC AUC\n", " probabilities = dt_pipeline.predict_proba(x_test)[:, 1]\n", " roc_auc = roc_auc_score(y_test, probabilities)\n", " \n", " cm = confusion_matrix(y_test, train_dt)\n", " tn, fp, fn, tp = cm.ravel()\n", " specificity = tn / (tn + fp)\n", " sensitivity = tp / (tp + fn)\n", " \n", " print(f\"iteration{i+1}\")\n", " print(f\"ROC_AUC = {roc_auc}\")\n", " print(f\"Specificity = {specificity}\")\n", " print(f\"Sensitivity = {sensitivity}\")\n", " print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "XDdurxYpjrNW" }, "source": [ "## RANDOM FOREST" ] }, { "cell_type": "markdown", "metadata": { "id": "VUPZIAFtHycO" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "id": "ZcvYvS9huLGv" }, "outputs": [ { "data": { "text/html": [ "
Pipeline(steps=[('preprocessing',\n",
       "                 ColumnTransformer(remainder='passthrough',\n",
       "                                   transformers=[('Numerical',\n",
       "                                                  Pipeline(steps=[('Scaler',\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  ['patient_suffix',\n",
       "                                                   'Fee Charged',\n",
       "                                                   'membership_period',\n",
       "                                                   'number_of_claims',\n",
       "                                                   'number_of_dependants']),\n",
       "                                                 ('Categorical',\n",
       "                                                  Pipeline(steps=[('Encoder',\n",
       "                                                                   OneHotEncoder(handle_unknown='ignore'))]),\n",
       "                                                  ['member_name', 'gender',\n",
       "                                                   '...\n",
       "                                                   'patient_dob', 'cause'])])),\n",
       "                ('oversampling', SMOTE(random_state=1)),\n",
       "                ('grid_search',\n",
       "                 GridSearchCV(cv=5,\n",
       "                              estimator=RandomForestClassifier(criterion='entropy',\n",
       "                                                               n_estimators=250,\n",
       "                                                               n_jobs=-1),\n",
       "                              param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n",
       "                                          'min_samples_leaf': (50, 100, 150,\n",
       "                                                               200, 250, 300,\n",
       "                                                               350, 400, 450,\n",
       "                                                               500),\n",
       "                                          'min_samples_split': (50, 100, 150,\n",
       "                                                                200, 250, 300,\n",
       "                                                                350, 400, 450,\n",
       "                                                                500)},\n",
       "                              scoring='roc_auc'))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "Pipeline(steps=[('preprocessing',\n", " ColumnTransformer(remainder='passthrough',\n", " transformers=[('Numerical',\n", " Pipeline(steps=[('Scaler',\n", " MinMaxScaler())]),\n", " ['patient_suffix',\n", " 'Fee Charged',\n", " 'membership_period',\n", " 'number_of_claims',\n", " 'number_of_dependants']),\n", " ('Categorical',\n", " Pipeline(steps=[('Encoder',\n", " OneHotEncoder(handle_unknown='ignore'))]),\n", " ['member_name', 'gender',\n", " '...\n", " 'patient_dob', 'cause'])])),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search',\n", " GridSearchCV(cv=5,\n", " estimator=RandomForestClassifier(criterion='entropy',\n", " n_estimators=250,\n", " n_jobs=-1),\n", " param_grid={'max_depth': array([5, 6, 7, 8, 9]),\n", " 'min_samples_leaf': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500),\n", " 'min_samples_split': (50, 100, 150,\n", " 200, 250, 300,\n", " 350, 400, 450,\n", " 500)},\n", " scoring='roc_auc'))])" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "param_rf = {'max_depth': np.arange(5, 10),\n", " 'min_samples_leaf': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500),\n", " 'min_samples_split': (50, 100, 150, 200, 250, 300, 350, 400, 450, 500)}\n", "\n", "rf_grid = GridSearchCV(RandomForestClassifier(n_estimators=250,\n", " criterion='entropy',\n", " n_jobs=-1),\n", " param_grid=param_rf, scoring='roc_auc',cv=5)\n", "\n", "rf_pipeline = ImbPipeline([\n", " ('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search', rf_grid)\n", "])\n", "\n", "rf_pipeline.fit(x_train, y_train)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "id": "V1FQHHs_qYsE" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best hyperparameters: {'max_depth': 8, 'min_samples_leaf': 50, 'min_samples_split': 50}\n" ] } ], "source": [ "# Mengakses hyperparameter terbaik dari GridSearchCV\n", "best_params = rf_pipeline.named_steps['grid_search'].best_params_\n", "print(\"Best hyperparameters:\", best_params)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "id": "EUjzpNfgO0gr" }, "outputs": [ { "data": { "text/html": [ "
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mean_fit_timestd_fit_timemean_score_timestd_score_timeparam_max_depthparam_min_samples_leafparam_min_samples_splitparamssplit0_test_scoresplit1_test_scoresplit2_test_scoresplit3_test_scoresplit4_test_scoremean_test_scorestd_test_scorerank_test_score
3000.4810020.0117760.1375510.04230485050{'max_depth': 8, 'min_samples_leaf': 50, 'min_...0.5537210.8306480.9216760.9157100.9132560.8270020.1406891
3030.4936300.0076590.1687170.015315850200{'max_depth': 8, 'min_samples_leaf': 50, 'min_...0.5506150.8209300.9227620.9214930.9049830.8241560.1418212
3060.4842480.0098850.1468550.040076850350{'max_depth': 8, 'min_samples_leaf': 50, 'min_...0.5483720.8251100.9113630.9054380.9159520.8212470.1404663
3010.4780020.0077970.1156800.046803850100{'max_depth': 8, 'min_samples_leaf': 50, 'min_...0.5454910.8153580.9115800.9153270.9136870.8202880.1425684
1020.4891100.0076570.1583150.021808650150{'max_depth': 6, 'min_samples_leaf': 50, 'min_...0.5583090.8203790.9158210.9200020.8860650.8201150.1356685
...................................................
2980.6186740.1179690.1562150.0531687500450{'max_depth': 7, 'min_samples_leaf': 500, 'min...0.4951550.6443670.6912360.7047290.6285180.6328010.074413496
940.8811050.0645340.1967680.0124605500250{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.4942560.6421400.6780700.6703710.6703160.6310310.069476497
4950.8654260.1039060.2093250.0075069500300{'max_depth': 9, 'min_samples_leaf': 500, 'min...0.4857210.6277480.6713430.7077100.6578180.6300680.076608498
2970.8405070.0373800.2060540.0063207500400{'max_depth': 7, 'min_samples_leaf': 500, 'min...0.5022430.6299040.6608550.6689150.6755110.6274860.064541499
930.8875060.0207050.2154320.0061835500200{'max_depth': 5, 'min_samples_leaf': 500, 'min...0.4903130.6613740.6467180.6999600.6344510.6265630.071598500
\n", "

500 rows × 16 columns

\n", "
" ], "text/plain": [ " mean_fit_time std_fit_time mean_score_time std_score_time \\\n", "300 0.481002 0.011776 0.137551 0.042304 \n", "303 0.493630 0.007659 0.168717 0.015315 \n", "306 0.484248 0.009885 0.146855 0.040076 \n", "301 0.478002 0.007797 0.115680 0.046803 \n", "102 0.489110 0.007657 0.158315 0.021808 \n", ".. ... ... ... ... \n", "298 0.618674 0.117969 0.156215 0.053168 \n", "94 0.881105 0.064534 0.196768 0.012460 \n", "495 0.865426 0.103906 0.209325 0.007506 \n", "297 0.840507 0.037380 0.206054 0.006320 \n", "93 0.887506 0.020705 0.215432 0.006183 \n", "\n", " param_max_depth param_min_samples_leaf param_min_samples_split \\\n", "300 8 50 50 \n", "303 8 50 200 \n", "306 8 50 350 \n", "301 8 50 100 \n", "102 6 50 150 \n", ".. ... ... ... \n", "298 7 500 450 \n", "94 5 500 250 \n", "495 9 500 300 \n", "297 7 500 400 \n", "93 5 500 200 \n", "\n", " params split0_test_score \\\n", "300 {'max_depth': 8, 'min_samples_leaf': 50, 'min_... 0.553721 \n", "303 {'max_depth': 8, 'min_samples_leaf': 50, 'min_... 0.550615 \n", "306 {'max_depth': 8, 'min_samples_leaf': 50, 'min_... 0.548372 \n", "301 {'max_depth': 8, 'min_samples_leaf': 50, 'min_... 0.545491 \n", "102 {'max_depth': 6, 'min_samples_leaf': 50, 'min_... 0.558309 \n", ".. ... ... \n", "298 {'max_depth': 7, 'min_samples_leaf': 500, 'min... 0.495155 \n", "94 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.494256 \n", "495 {'max_depth': 9, 'min_samples_leaf': 500, 'min... 0.485721 \n", "297 {'max_depth': 7, 'min_samples_leaf': 500, 'min... 0.502243 \n", "93 {'max_depth': 5, 'min_samples_leaf': 500, 'min... 0.490313 \n", "\n", " split1_test_score split2_test_score split3_test_score \\\n", "300 0.830648 0.921676 0.915710 \n", "303 0.820930 0.922762 0.921493 \n", "306 0.825110 0.911363 0.905438 \n", "301 0.815358 0.911580 0.915327 \n", "102 0.820379 0.915821 0.920002 \n", ".. ... ... ... \n", "298 0.644367 0.691236 0.704729 \n", "94 0.642140 0.678070 0.670371 \n", "495 0.627748 0.671343 0.707710 \n", "297 0.629904 0.660855 0.668915 \n", "93 0.661374 0.646718 0.699960 \n", "\n", " split4_test_score mean_test_score std_test_score rank_test_score \n", "300 0.913256 0.827002 0.140689 1 \n", "303 0.904983 0.824156 0.141821 2 \n", "306 0.915952 0.821247 0.140466 3 \n", "301 0.913687 0.820288 0.142568 4 \n", "102 0.886065 0.820115 0.135668 5 \n", ".. ... ... ... ... \n", "298 0.628518 0.632801 0.074413 496 \n", "94 0.670316 0.631031 0.069476 497 \n", "495 0.657818 0.630068 0.076608 498 \n", "297 0.675511 0.627486 0.064541 499 \n", "93 0.634451 0.626563 0.071598 500 \n", "\n", "[500 rows x 16 columns]" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(rf_pipeline.named_steps['grid_search'].cv_results_).sort_values(\"rank_test_score\", ascending=True)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "id": "BqgeHjUqLRpz" }, "outputs": [ { "data": { "text/plain": [ "['model_rf7.h5']" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(rf_pipeline, 'model_rf7.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "khhuUSLDIFbi" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "id": "N9pNTa-sIFb0" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.80 0.74 0.77 1132\n", " 1 0.16 0.21 0.19 268\n", "\n", " accuracy 0.64 1400\n", " macro avg 0.48 0.48 0.48 1400\n", "weighted avg 0.68 0.64 0.66 1400\n", "\n" ] } ], "source": [ "train_rf = rf_pipeline.predict(x_test)\n", "print(classification_report(y_test, train_rf))" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "Rcjl0e1FIFb0" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test, train_rf)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix of Random Forest Model\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "id": "qY_0EnzMIFb1" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 0.45987817098254313\n", "Specificity: 0.7446996466431095\n", "Sensitivity: 0.2126865671641791\n" ] } ], "source": [ "# Calculate ROC AUC\n", "probabilities = rf_pipeline.predict_proba(x_test)[:, 1]\n", "roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "WZsPGg6TIFb1" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration1\n", "ROC_AUC = 0.48997283898528565\n", "Specificity = 0.7455830388692579\n", "Sensitivity = 0.25\n", " \n", "iteration2\n", "ROC_AUC = 0.48366054005590425\n", "Specificity = 0.7438162544169611\n", "Sensitivity = 0.22014925373134328\n", " \n", "iteration3\n", "ROC_AUC = 0.48129383998734243\n", "Specificity = 0.7561837455830389\n", "Sensitivity = 0.23507462686567165\n", " \n", "iteration4\n", "ROC_AUC = 0.4812246189546965\n", "Specificity = 0.7508833922261484\n", "Sensitivity = 0.208955223880597\n", " \n", "iteration5\n", "ROC_AUC = 0.4966905753915933\n", "Specificity = 0.7659010600706714\n", "Sensitivity = 0.2126865671641791\n", " \n" ] } ], "source": [ "model_rf = RandomForestClassifier(n_estimators=250, criterion='entropy',\n", " **rf_pipeline.named_steps['grid_search'].best_params_)\n", "\n", "rf_pipelines = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('model', model_rf)])\n", "\n", "roc_auc = []\n", "specificity = []\n", "sensitivity = []\n", "\n", "for i in range(5):\n", " rf_pipelines.fit(x_train, y_train)\n", " \n", " train_rf = rf_pipelines.predict(x_test)\n", " \n", " # Calculate ROC AUC\n", " probabilities = rf_pipelines.predict_proba(x_test)[:, 1]\n", " roc_auc = roc_auc_score(y_test, probabilities)\n", " \n", " cm = confusion_matrix(y_test, train_rf)\n", " tn, fp, fn, tp = cm.ravel()\n", " specificity = tn / (tn + fp)\n", " sensitivity = tp / (tp + fn)\n", " \n", " print(f\"iteration{i+1}\")\n", " print(f\"ROC_AUC = {roc_auc}\")\n", " print(f\"Specificity = {specificity}\")\n", " print(f\"Sensitivity = {sensitivity}\")\n", " print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "Q3nVpVUVqll4" }, "source": [ "## XGBOOST" ] }, { "cell_type": "markdown", "metadata": { "id": "dUQGYZPNIecC" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "id": "jPSmh0vsHQHX" }, "outputs": [], "source": [ "param_xgb_main = {'max_depth': np.arange(5, 10),\n", " 'eta': [0.01, 0.05, 0.1, 0.15, 0.2],\n", " 'subsample': [0.5, 0.6, 0.7, 0.8, 0.9],\n", " 'n_estimators': [100, 200, 300, 400, 500],\n", " 'lambda': np.arange(0, 10),\n", " 'gamma': np.arange(0, 10),\n", " 'colsample_bytree':np.arange(0.5, 1),\n", " 'min_child_weight':np.arange(4, 10)}" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "id": "42WyYX51qll8" }, "outputs": [ { "data": { "text/html": [ "
Pipeline(steps=[('preprocessing',\n",
       "                 ColumnTransformer(remainder='passthrough',\n",
       "                                   transformers=[('Numerical',\n",
       "                                                  Pipeline(steps=[('Scaler',\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  ['patient_suffix',\n",
       "                                                   'Fee Charged',\n",
       "                                                   'membership_period',\n",
       "                                                   'number_of_claims',\n",
       "                                                   'number_of_dependants']),\n",
       "                                                 ('Categorical',\n",
       "                                                  Pipeline(steps=[('Encoder',\n",
       "                                                                   OneHotEncoder(handle_unknown='ignore'))]),\n",
       "                                                  ['member_name', 'gender',\n",
       "                                                   '...\n",
       "                                                      max_leaves=None,\n",
       "                                                      min_child_weight=None,\n",
       "                                                      missing=nan,\n",
       "                                                      monotone_constraints=None,\n",
       "                                                      multi_strategy=None,\n",
       "                                                      n_estimators=250,\n",
       "                                                      n_jobs=None,\n",
       "                                                      num_parallel_tree=None,\n",
       "                                                      random_state=None, ...),\n",
       "                              n_jobs=-1,\n",
       "                              param_grid={'eta': [0.01, 0.05, 0.1, 0.15, 0.2],\n",
       "                                          'gamma': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n",
       "                                          'lambda': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n",
       "                                          'max_depth': array([5, 6, 7, 8, 9])},\n",
       "                              scoring='roc_auc'))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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" ], "text/plain": [ "Pipeline(steps=[('preprocessing',\n", " ColumnTransformer(remainder='passthrough',\n", " transformers=[('Numerical',\n", " Pipeline(steps=[('Scaler',\n", " MinMaxScaler())]),\n", " ['patient_suffix',\n", " 'Fee Charged',\n", " 'membership_period',\n", " 'number_of_claims',\n", " 'number_of_dependants']),\n", " ('Categorical',\n", " Pipeline(steps=[('Encoder',\n", " OneHotEncoder(handle_unknown='ignore'))]),\n", " ['member_name', 'gender',\n", " '...\n", " max_leaves=None,\n", " min_child_weight=None,\n", " missing=nan,\n", " monotone_constraints=None,\n", " multi_strategy=None,\n", " n_estimators=250,\n", " n_jobs=None,\n", " num_parallel_tree=None,\n", " random_state=None, ...),\n", " n_jobs=-1,\n", " param_grid={'eta': [0.01, 0.05, 0.1, 0.15, 0.2],\n", " 'gamma': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", " 'lambda': array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", " 'max_depth': array([5, 6, 7, 8, 9])},\n", " scoring='roc_auc'))])" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "param_xgb = {'max_depth': np.arange(5, 10),\n", " 'eta': [0.01, 0.05, 0.10, 0.15, 0.20],\n", " 'gamma': np.arange(0, 10),\n", " 'lambda': np.arange(0, 10)}\n", "\n", "xgb_grid = GridSearchCV(XGBClassifier(n_estimators=250,\n", " subsample=0.8,\n", " objective='binary:logistic',\n", " eval_metric='logloss'),\n", " param_grid=param_xgb, cv=5, scoring ='roc_auc', n_jobs=-1)\n", "\n", "xgb_pipeline = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('grid_search', xgb_grid)])\n", "\n", "xgb_pipeline.fit(x_train, y_train)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "id": "y5Tv359zqll9" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best hyperparameters: {'eta': 0.2, 'gamma': 0, 'lambda': 9, 'max_depth': 9}\n" ] } ], "source": [ "# Mengakses hyperparameter terbaik dari GridSearchCV\n", "best_params = xgb_pipeline.named_steps['grid_search'].best_params_\n", "print(\"Best hyperparameters:\", best_params)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "id": "yWFd9iWzzcsS" }, "outputs": [ { "data": { "text/html": [ "
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mean_fit_timestd_fit_timemean_score_timestd_score_timeparam_etaparam_gammaparam_lambdaparam_max_depthparamssplit0_test_scoresplit1_test_scoresplit2_test_scoresplit3_test_scoresplit4_test_scoremean_test_scorestd_test_scorerank_test_score
204924.5411063.6808040.0624850.0098790.2099{'eta': 0.2, 'gamma': 0, 'lambda': 9, 'max_dep...0.5616780.8925610.9999450.9999110.9998850.8907960.1697301
104922.1198002.8455880.0593630.0062480.1099{'eta': 0.1, 'gamma': 0, 'lambda': 9, 'max_dep...0.5628180.8899310.9999960.9999850.9999980.8905460.1693172
204819.5610262.4541980.0531150.0076520.2098{'eta': 0.2, 'gamma': 0, 'lambda': 9, 'max_dep...0.5604780.8921170.9999930.9999530.9999710.8905030.1702173
54416.5336181.8502560.0499880.0062470.05089{'eta': 0.05, 'gamma': 0, 'lambda': 8, 'max_de...0.5619650.8901160.9999800.9999991.0000000.8904120.1696474
103921.6136712.8490420.0562370.0076530.1079{'eta': 0.1, 'gamma': 0, 'lambda': 7, 'max_dep...0.5605270.8912041.0000000.9999780.9999980.8903410.1702055
......................................................
1454.6207890.5034240.0249950.0076530.01295{'eta': 0.01, 'gamma': 2, 'lambda': 9, 'max_de...0.5064040.8750460.9966640.9996010.9996970.8754820.1906512496
3954.5364320.5572780.0249940.0076530.01795{'eta': 0.01, 'gamma': 7, 'lambda': 9, 'max_de...0.5064040.8750970.9968860.9992810.9996980.8754730.1906382497
2954.5526770.5236580.0312430.0000020.01595{'eta': 0.01, 'gamma': 5, 'lambda': 9, 'max_de...0.5064040.8751980.9967270.9993170.9996980.8754690.1906222498
3454.5520550.5570140.0281190.0062490.01695{'eta': 0.01, 'gamma': 6, 'lambda': 9, 'max_de...0.5064040.8751560.9966940.9992900.9996830.8754450.1906122499
4954.5270620.5532180.0249930.0076520.01995{'eta': 0.01, 'gamma': 9, 'lambda': 9, 'max_de...0.5064040.8749840.9967830.9993330.9996930.8754400.1906312500
\n", "

2500 rows × 17 columns

\n", "
" ], "text/plain": [ " mean_fit_time std_fit_time mean_score_time std_score_time param_eta \\\n", "2049 24.541106 3.680804 0.062485 0.009879 0.2 \n", "1049 22.119800 2.845588 0.059363 0.006248 0.1 \n", "2048 19.561026 2.454198 0.053115 0.007652 0.2 \n", "544 16.533618 1.850256 0.049988 0.006247 0.05 \n", "1039 21.613671 2.849042 0.056237 0.007653 0.1 \n", "... ... ... ... ... ... \n", "145 4.620789 0.503424 0.024995 0.007653 0.01 \n", "395 4.536432 0.557278 0.024994 0.007653 0.01 \n", "295 4.552677 0.523658 0.031243 0.000002 0.01 \n", "345 4.552055 0.557014 0.028119 0.006249 0.01 \n", "495 4.527062 0.553218 0.024993 0.007652 0.01 \n", "\n", " param_gamma param_lambda param_max_depth \\\n", "2049 0 9 9 \n", "1049 0 9 9 \n", "2048 0 9 8 \n", "544 0 8 9 \n", "1039 0 7 9 \n", "... ... ... ... \n", "145 2 9 5 \n", "395 7 9 5 \n", "295 5 9 5 \n", "345 6 9 5 \n", "495 9 9 5 \n", "\n", " params split0_test_score \\\n", "2049 {'eta': 0.2, 'gamma': 0, 'lambda': 9, 'max_dep... 0.561678 \n", "1049 {'eta': 0.1, 'gamma': 0, 'lambda': 9, 'max_dep... 0.562818 \n", "2048 {'eta': 0.2, 'gamma': 0, 'lambda': 9, 'max_dep... 0.560478 \n", "544 {'eta': 0.05, 'gamma': 0, 'lambda': 8, 'max_de... 0.561965 \n", "1039 {'eta': 0.1, 'gamma': 0, 'lambda': 7, 'max_dep... 0.560527 \n", "... ... ... \n", "145 {'eta': 0.01, 'gamma': 2, 'lambda': 9, 'max_de... 0.506404 \n", "395 {'eta': 0.01, 'gamma': 7, 'lambda': 9, 'max_de... 0.506404 \n", "295 {'eta': 0.01, 'gamma': 5, 'lambda': 9, 'max_de... 0.506404 \n", "345 {'eta': 0.01, 'gamma': 6, 'lambda': 9, 'max_de... 0.506404 \n", "495 {'eta': 0.01, 'gamma': 9, 'lambda': 9, 'max_de... 0.506404 \n", "\n", " split1_test_score split2_test_score split3_test_score \\\n", "2049 0.892561 0.999945 0.999911 \n", "1049 0.889931 0.999996 0.999985 \n", "2048 0.892117 0.999993 0.999953 \n", "544 0.890116 0.999980 0.999999 \n", "1039 0.891204 1.000000 0.999978 \n", "... ... ... ... \n", "145 0.875046 0.996664 0.999601 \n", "395 0.875097 0.996886 0.999281 \n", "295 0.875198 0.996727 0.999317 \n", "345 0.875156 0.996694 0.999290 \n", "495 0.874984 0.996783 0.999333 \n", "\n", " split4_test_score mean_test_score std_test_score rank_test_score \n", "2049 0.999885 0.890796 0.169730 1 \n", "1049 0.999998 0.890546 0.169317 2 \n", "2048 0.999971 0.890503 0.170217 3 \n", "544 1.000000 0.890412 0.169647 4 \n", "1039 0.999998 0.890341 0.170205 5 \n", "... ... ... ... ... \n", "145 0.999697 0.875482 0.190651 2496 \n", "395 0.999698 0.875473 0.190638 2497 \n", "295 0.999698 0.875469 0.190622 2498 \n", "345 0.999683 0.875445 0.190612 2499 \n", "495 0.999693 0.875440 0.190631 2500 \n", "\n", "[2500 rows x 17 columns]" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(xgb_pipeline.named_steps['grid_search'].cv_results_).sort_values(\"rank_test_score\", ascending=True)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "id": "rJppfRdtLVFo" }, "outputs": [ { "data": { "text/plain": [ "['model_xgb7.h5']" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(xgb_pipeline, 'model_xgb7.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "t78xNhTBITKK" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "id": "_Ad5J7dEITKY" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.81 0.97 0.88 1132\n", " 1 0.22 0.04 0.07 268\n", "\n", " accuracy 0.79 1400\n", " macro avg 0.51 0.50 0.47 1400\n", "weighted avg 0.70 0.79 0.73 1400\n", "\n" ] } ], "source": [ "train_xgb = xgb_pipeline.predict(x_test)\n", "print(classification_report(y_test, train_xgb))" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "id": "gOvp9xiaITKY" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test, train_xgb)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix of XGBoost Model\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "id": "obRuqGDkITKZ" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 0.4974948578661462\n", "Specificity: 0.965547703180212\n", "Sensitivity: 0.041044776119402986\n" ] } ], "source": [ "# Calculate ROC AUC\n", "probabilities = xgb_pipeline.predict_proba(x_test)[:, 1]\n", "roc_auc = roc_auc_score(y_test, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "id": "9dpPX4dpITKa" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "model_xgb = XGBClassifier(n_estimators=250,\n", " subsample=0.8,\n", " objective='binary:logistic',\n", " eval_metric='logloss',\n", " **xgb_pipeline.named_steps['grid_search'].best_params_)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "model_xgb = XGBClassifier(n_estimators=250,\n", " subsample=0.8,\n", " objective='binary:logistic',\n", " eval_metric='logloss',\n", " eta=0.2, gamma=0, reg_lambda=9, max_dept=9)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\xgboost\\core.py:160: UserWarning: [09:05:25] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0b3782d1791676daf-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:742: \n", "Parameters: { \"max_dept\" } are not used.\n", "\n", " warnings.warn(smsg, UserWarning)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "iteration1\n", "ROC_AUC = 0.5170184853119562\n", "Specificity = 0.9699646643109541\n", "Sensitivity = 0.03731343283582089\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\xgboost\\core.py:160: UserWarning: [09:05:30] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0b3782d1791676daf-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:742: \n", "Parameters: { \"max_dept\" } are not used.\n", "\n", " warnings.warn(smsg, UserWarning)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "iteration2\n", "ROC_AUC = 0.5170184853119562\n", "Specificity = 0.9699646643109541\n", "Sensitivity = 0.03731343283582089\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\xgboost\\core.py:160: UserWarning: [09:05:35] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0b3782d1791676daf-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:742: \n", "Parameters: { \"max_dept\" } are not used.\n", "\n", " warnings.warn(smsg, UserWarning)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "iteration3\n", "ROC_AUC = 0.5170184853119562\n", "Specificity = 0.9699646643109541\n", "Sensitivity = 0.03731343283582089\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\xgboost\\core.py:160: UserWarning: [09:05:41] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0b3782d1791676daf-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:742: \n", "Parameters: { \"max_dept\" } are not used.\n", "\n", " warnings.warn(smsg, UserWarning)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "iteration4\n", "ROC_AUC = 0.5170184853119562\n", "Specificity = 0.9699646643109541\n", "Sensitivity = 0.03731343283582089\n", " \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\xgboost\\core.py:160: UserWarning: [09:05:46] WARNING: C:\\buildkite-agent\\builds\\buildkite-windows-cpu-autoscaling-group-i-0b3782d1791676daf-1\\xgboost\\xgboost-ci-windows\\src\\learner.cc:742: \n", "Parameters: { \"max_dept\" } are not used.\n", "\n", " warnings.warn(smsg, UserWarning)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "iteration5\n", "ROC_AUC = 0.5170184853119562\n", "Specificity = 0.9699646643109541\n", "Sensitivity = 0.03731343283582089\n", " \n" ] } ], "source": [ "xgb_pipelines = ImbPipeline([('preprocessing', preprocessing),\n", " ('oversampling', SMOTE(random_state=1)),\n", " ('model', model_xgb)])\n", "\n", "roc_auc = []\n", "specificity = []\n", "sensitivity = []\n", "\n", "for i in range(5):\n", " xgb_pipelines.fit(x_train, y_train)\n", " \n", " train_xgb = xgb_pipelines.predict(x_test)\n", " \n", " # Calculate ROC AUC\n", " probabilities = xgb_pipelines.predict_proba(x_test)[:, 1]\n", " roc_auc = roc_auc_score(y_test, probabilities)\n", " \n", " cm = confusion_matrix(y_test, train_xgb)\n", " tn, fp, fn, tp = cm.ravel()\n", " specificity = tn / (tn + fp)\n", " sensitivity = tp / (tp + fn)\n", " \n", " print(f\"iteration{i+1}\")\n", " print(f\"ROC_AUC = {roc_auc}\")\n", " print(f\"Specificity = {specificity}\")\n", " print(f\"Sensitivity = {sensitivity}\")\n", " print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "MY60mBfzpSFe" }, "source": [ "## APPROXIMATING XGBOOST" ] }, { "cell_type": "markdown", "metadata": { "id": "Tb9jkEe-Yq8B" }, "source": [ "### Pre-Modeling" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 478 }, "id": "IFpdGcRBIw7d", "outputId": "17bdc2c8-7814-42fd-c70b-b00a28271e85" }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " label\n", "2305 0\n", "4388 0\n", "1686 1\n", "4945 0\n", "4197 0\n", "... ...\n", "2090 0\n", "997 0\n", "4672 0\n", "3152 0\n", "5823 0\n", "\n", "[1400 rows x 1 columns]" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_test2=y_test2.to_frame()\n", "y_test2" ] }, { "cell_type": "markdown", "metadata": { "id": "AB77QUc-YvXq" }, "source": [ "### Model" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "model_xgb = XGBClassifier(n_estimators=250,\n", " subsample=0.8,\n", " objective='binary:logistic',\n", " eval_metric='logloss',\n", " eta=0.2, gamma=0, reg_lambda=9, max_dept=9)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "id": "tvRiyxHEpQqg" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/adlir/Library/Python/3.9/lib/python/site-packages/xgboost/core.py:158: UserWarning: [07:20:08] WARNING: /Users/runner/work/xgboost/xgboost/src/learner.cc:740: \n", "Parameters: { \"max_dept\" } are not used.\n", "\n", " warnings.warn(smsg, UserWarning)\n" ] }, { "data": { "text/html": [ "
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" ], "text/plain": [ "XGBClassifier(base_score=None, booster=None, callbacks=None,\n", " colsample_bylevel=None, colsample_bynode=None,\n", " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", " enable_categorical=False, eta=0.2, eval_metric='logloss',\n", " feature_types=None, gamma=0, grow_policy=None,\n", " importance_type=None, interaction_constraints=None,\n", " learning_rate=None, max_bin=None, max_cat_threshold=None,\n", " max_cat_to_onehot=None, max_delta_step=None, max_dept=9,\n", " max_depth=None, max_leaves=None, min_child_weight=None,\n", " missing=nan, monotone_constraints=None, multi_strategy=None,\n", " n_estimators=250, n_jobs=None, ...)" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model_xgb.fit(x_smote, y_smote)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "qaxHftKLWOLg" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start pruning\n", "Pruned forest training set AUC: 0.997872562523941\n", "Create conjunction set from training data instances\n", "Number of conjunctions created from data: 8907\n", "Create complete conjunction set\n", "Size at iteration 2: 451\n", "Size at iteration 3: 5001\n", "Size at iteration 4: 5001\n", "Size at iteration 5: 5001\n", "Size at iteration 6: 5001\n", "Size at iteration 7: 5001\n", "Size at iteration 8: 5001\n", "Size at iteration 9: 5001\n", "Size at iteration 10: 5001\n", "Size at iteration 11: 5001\n", "Size at iteration 12: 5001\n", "Size at iteration 13: 5001\n", "Size at iteration 14: 5001\n", "Size at iteration 15: 5001\n", "Size at iteration 16: 5001\n", "Size at iteration 17: 5001\n", "Size at iteration 18: 5001\n", "Size at iteration 19: 5001\n", "Size at iteration 20: 5001\n", "Size at iteration 21: 5001\n", "Size at iteration 22: 5001\n", "Size at iteration 23: 5001\n", "Size at iteration 24: 5001\n", "Size at iteration 25: 5001\n", "Size at iteration 26: 5001\n", "Size at iteration 27: 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"df_train[label_name] = y_smote.values.squeeze()\n", "\n", "#Use The Method\n", "model_apprx_xgb = FBT(max_depth=10, max_number_of_conjunctions=5000, min_forest_size=150, pruning_method='auc')\n", "\n", "#Fit Model\n", "model_apprx_xgb.fit(df_train, feature_cols, label_name, model_xgb)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "id": "oNgz4ANa5sTL" }, "outputs": [ { "data": { "text/plain": [ "['model_apprx_xgb7.h5']" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(model_apprx_xgb, 'model_apprx_xgb7.h5')" ] }, { "cell_type": "markdown", "metadata": { "id": "p-7U1JIVIi6U" }, "source": [ "### Statistical Performances" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "OEIi01oKIi6u" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 0.81 0.35 0.49 1132\n", " 1 0.19 0.66 0.30 268\n", "\n", " accuracy 0.41 1400\n", " macro avg 0.50 0.51 0.39 1400\n", "weighted avg 0.69 0.41 0.45 1400\n", "\n" ] } ], "source": [ "train_apprx_xgb = model_apprx_xgb.predict(x_test2)\n", "print(classification_report(y_test, train_apprx_xgb))" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "fUajDrzBIi6v" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cm = confusion_matrix(y_test2, train_apprx_xgb)\n", "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n", "plt.suptitle(\"Confusion Matrix Model Decision Tree\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "id": "MtroVfyvIi6v" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROC AUC Score: 0.499932427087179\n", "Specificity: 0.3462897526501767\n", "Sensitivity: 0.664179104477612\n" ] } ], "source": [ "# Calculate ROC AUC\n", "probabilities = model_apprx_xgb.predict_proba(x_test2)[:, 1]\n", "roc_auc = roc_auc_score(y_test2, probabilities)\n", "\n", "tn, fp, fn, tp = cm.ravel()\n", "specificity = tn / (tn + fp)\n", "sensitivity = tp / (tp + fn)\n", "\n", "print(\"ROC AUC Score:\", roc_auc)\n", "print('Specificity:', specificity)\n", "print('Sensitivity:', sensitivity)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "id": "30uVM1GmIi6v" }, "outputs": [ { "data": { "image/png": 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OFImJifj7+6eadu/evSytq6iQ9nkzaaOMSfu82cttdOdJHJuPPQWgdQNrjBJC8PcP0VNl+cPL7fPqTpWuMn0Lp8ykbko6vxosr5NyeDQkJISKFf/rBRUSEoKzc9qbT/r5+eHk5JRqD7B48eI4OTlx//79TG0zPcbGxlStWhVI/qZx7949HB0d0w3kok7a582kjTIm7fNmr7ZRUFgMu3/2RVHg7Qbl6PNhzSJ9T8JX2+f27dvZXmemwnDjxo3Z3lB6XFxcsLS0xNfXVxuGERERXL9+nR49eqRZ3t7engMHDhAfH4+pqSkAMTExPHz4kA4dOmS5DpVKhYWFRapp5ubmaaaJ/0j7vJm0Ucakfd7M3NwcDIxZuO0K0bFJOFe0YURnV0yMDfVdWr6Q8h7KiS8GmQpDd3f3186Lj4/HxMQkS8WYmJjQo0cPFixYgK2tLeXLl2f+/PnY29vTunVr1Go1YWFhWFlZYWZmRseOHVm7di2jRo1i5MiRAHz33XeYmprSqVMnnbcvhBD5WUKimsU7r/AgKBJba1PG93GTIMwlWeqCeffuXUaNGoW7uzsNGjTg+vXrTJ06lU2bNum8rhEjRvDJJ58wadIkunbtiqGhIWvXrsXY2JgnT57QrFkzDh48CCT3Mt26dSuKotC7d2/69u2LsbExW7duxcrKKitPRQgh8qWoWDXTfjjPuevBGBkaMKGPu9yBIhfp3JvU39+f7t27U7JkST744AO2bt0KgKGhIbNmzcLS0pKPPvoo0+szNDTE29sbb2/vNPMcHBy4efNmqmlVqlTBx8dH17KFECJfi45NRK1RALgT+ILVR0IIj1ZTzNyY8b3dcK5kq+cKCzedw3Du3LnUrl2bdevWAbBlyxYAJk2aRHx8PBs3btQpDIUQoijTaBSW7bzMEd+0nQDtbc2ZMqAJ5eVWTLlO58Okly5dok+fPhgZGaU5T9iuXTvpLi2EEDrYdMg/3SCsVs6MGQPdJQjziM57hqampsTFxaU778WLF9m+1kMIIYqKX0/fY+cftwAY1aUBLRtWAJJ7yd+8eQMrC/k8zSs67xk2bdqUxYsXpxouTaVSER0dzbp162jSpEmOFiiEEIVNklrD2etBrNh9BYBurZ15x60iBgYq7T+Rt3TeM/T29qZz5860bdsWFxcXVCoVc+bMISAgAEVR+N///pcbdQohRIEXFZPA/7Zd4Nz1/2524NWoAl1apx1kROQtnfcMy5Yty969e+nduzeKolCxYkViYmJo3749u3fvpkKFCrlRpxBCFGhPnkYzZvFfqYKwcW17hn1av0iPJpNfZGm4cxsbG7788sucrkUIIQqla3efMfOHs0TGJFCquBnePRtRyd6aYubG+i5N/L8shWFQUBAbN27Ez8+P8PBwSpYsSePGjenZsyc2NjY5XaMQQhRYf54PZPGOSySpNVR1KM43XzTG1trszQ8UeUrnw6T+/v7ai+0tLCyoXbs2RkZGrF69mo4dOxIYGJgbdQohRIGiKApbfr3B/7ZeIEmtwbNOWWYPaSZBmE9l6aJ7BwcHVq9eTalSpbTTnzx5Qr9+/Zg9ezbLly/P0SKFEKIgSUhU8/2Oi5y4+AiAj1tWpVe7mtJLNB/Tec/w4sWLDBs2LFUQQnLHmhEjRnD69OkcK04IIQqa8Kh4Jvmc4sTFRxgaqBj+WX36tK8lQZjP6bxnaGtrS3R0dLrzDA0NKVasWLaLEkKIguhBUATT1voSHBajHVO0XrXS+i5LZILOe4aDBw9m4cKFXLt2LdX0wMBAvv/+ewYMGJBjxQkhREFx6d8Qxi75i+CwGMqWLMb84c0lCAuQTO0Zenl5pboO5unTp3zyySdUqFCBUqVKER4eTkBAACYmJhw+fJhevXrlWsFCCJHf/Hr6Hit2X0GjUajpZMuEPu4UtzTVd1lCB5m+ue+bLgqtW7dujhQkhBAFhVqjsH7/NfYcvwNAi4YOjPisPsZGcgPegiZTYThnzpzcrkMIIQqUuPgkFmw5j++15HGau7d1oXOr6jKaTAGVpYvuAZ49e0ZCQgKKknwzSo1GQ2xsLH5+fnTt2jXHChRCiPzmWXgs09b6cvdROMZGBozs3IC3XR30XZbIBp3D8MaNG4wZM4Y7d+6kO1+lUkkYCiEKrTsPXzBtrS9hEXEUtzRhYh8PajjJXegLOp3DcN68eYSHhzNu3Dj+/PNPTExMaNmyJSdOnODEiRNs3LgxN+oUQgi9O3stiPmb/YhLUFOhjCWTv2iMfUm5nKww0PnSisuXLzNy5Ej69OlDu3btiI2NpVu3bvj4+NCqVSs2bdqUG3UKIYTeKIrCnuN3mPGDL3EJaupXL8284W9JEBYiOodhQkICjo6OADg6OnLjxg3tvE6dOnHp0qWcqk0IIfQuSa1hxa4rrN33D4oCbT0d+bZfYyzljhOFis5hWK5cOe1g3I6OjkRFRfHw4UMATExMCA8Pz9kKhRBCT6JjE5m25gyHTt9DpYIvOtRiyMd1MTLU+aNT5HM6v6KtW7dm4cKFHD58mDJlylC5cmW+++47bt68ybp16+TmvkKIQiHoWTTeS/7i4r+hmJoYMrGPOx3friqXThRSOofhsGHDcHV1ZefOnQCMHz+e3377jY4dO3LmzBmGDx+e40UKIUReunEvjDGLTxAYHImttRlzhjbDo3ZZfZclcpHOvUlNTU1ZvHgxiYmJADRv3pxffvmFa9euUatWLSpWrJjjRQohRF45cfEh322/SGKShsrlizP5Cw9KFjfXd1kil2X5ontj4/9OHlesWFFCUAhRoCmKwo6j/7Ll1+ROgR617BndvSHmpln+mBQFSJYG6s6ISqXi6NGj2SpKCCHyUmKSmiU/XuLP88mdATu+XYU+7WthKPcgLDJybKBuIYQoiMKj4pm94RzX7j7DwEDFoE51ec/TUd9liTwmA3ULIYqshyGRTFvjy5Nn0ViYGfF1LzcaONvpuyyhB3IwXAhRJF25Hcqs9eeIjk3EztaCb7/woKK9tb7LEnoiYSiEKHJ+873Psp2XUWsUXCrZMLGvByWs5Ga8RZmEoRCiyNBoFDYevM6uP28D8Fb98ozs0gATY7kZb1EnYSiEKBLiEpL439YLnL76BIAu7zrTrY2zdA4UQA6EYXx8PCYmJvKGEkLkW2ERcUxf58vtwBcYGRow/LP6eDWSoSPFf7IUhnfv3mXx4sWcOnWKqKgofvrpJ3bu3EnlypXp2bNnTtcohBBZFvA4nGlrfXn6IhYrCxMm9nWnVuWS+i5L5DM6j03q7+/PJ598wrVr1/jggw9QFAUAQ0NDZs2axc8//5zjRQohRFb4+QczbulfPH0RS/nSxVgwsrkEoUiXznuGc+fOpXbt2qxbtw6ALVu2ADBp0iTi4+PZuHEjH330Uc5WKYQQOvrlr7us2XsVjQJ1q5ZifG83LC1M9F2WyKd03jO8dOkSffr0wcjIKM15wnbt2nHv3r2cqk0IIXSmVmtYufsKq/YkB+G77hWZ0t9TglBkKEt3rYiLi0t33osXLzAxkTecEEI/YuISmbfJj/M3QgDo835NOrWUexCKN9N5z7Bp06YsXryYoKAg7TSVSkV0dDTr1q2jSZMmOVqgEEJkRsjzGMYt/ZvzN0IwMTZkfG83PvaqJkEoMkXnPUNvb286d+5M27ZtcXFxQaVSMWfOHAICAlAUhf/973+5UacQQrzWvw+eM32dLy8i47GxMuWbLzyoVsFG32WJAkTnPcOyZcuyd+9eevfujaIoVKxYkZiYGNq3b8/u3bupUEGu3RFC5J2Tlx8zftnfvIiMx7GsNQtHvi1BKHSm855hWFgYtra2fPnll7lRjxBCZNoffoEs2nYBgEY1yuDdoyEWZsZveJQQaem8Z/jWW28xePBgfv31VxISEnKjJiGEeKMLN0JYvOMiAO95OjKpr7sEocgyncNwzJgxPHv2jFGjRtG0aVMmTZqEn59fbtQmhBDpuhX4nNkbzqLWKLRwdWBQp7oYGur8cSaEls6HSfv06UOfPn0IDAxk//79HDx4kJ07d1KuXDk6dOjABx98QJUqVXKjViGE4PHTKKauOUNcgpr61UozonMDDAykx6jInix/lapQoQKDBw/ml19+4ZdffqFFixasXr2a9u3b52R9Qgih9SIynimrzhAelUDl8sUZ38cNYyPZIxTZl627Vjx79oxDhw5x6NAhLl68SIkSJWjXrl1O1SaEEFqx8UlMXXOaJ8+iKWNrwZR+jeUcocgxOodhZGQkhw8f5sCBA5w7dw5DQ0O8vLxYvnw5zZs3x9BQbpIphMhZSWoNczac4/bDcKyLmTBtgCc21mb6LksUIjqHoaenJxqNhoYNGzJlyhTatm2LpaVlbtQmhBAoisLiHRe5cDMEUxNDvu3XmHKl5TNH5Cydw3D48OF88MEHlCtXLjfqEUKIVDYcuM6f5x9iYKDi615uVK8oF9SLnKdzGA4cODA36hBCiDT2/XWHXX/eBmD4p/VpVKOMnisShVWmwrBGjRrs2LGDunXrascjfR2VSsX169dzrEAhRNH016VHrNn7DwC92tWglXtFPVckCrNMheHQoUMpU6aM9mcZBV4IkZuu3A7lf1svoCjwflMnPvGqpu+SRCGXqTAcNmyY9ufhw4dnuOzLt3YSQghdBTwOZ+YPZ0lSa2hStyz9O9aRL+Ai1+l8tWqNGjW4cuVKuvP8/Px47733sl2UEKJoCgmLYcrq08TEJVGrcklGd2uIoYwuI/JApvYM161bR0xMDJDczfmnn37ixIkTaZa7ePGi3OleCJElEdEJTF51mrCIeCrZWzHpcw9MjOW6ZZE3MhWG8fHxLF26FEjuIPPTTz+lWcbAwAArKysGDx6csxUKIQq9uIQkpq89w6PQKEqVMGdKf08szWV0GZF3MhWGgwcP1oaci4sLO3bsoF69erlamBCiaFCrNczfdJ4b959jaW7M1P6NKVXCXN9liSJG5+sMb9y4kRt1CCGKIEVRWLH7CmevB2FiZMA3X3hQ0d5a32WJIihTYTh+/HiGDBlChQoVGD9+fIbLqlQqZs2alSPFCSEKt21HbnL4zH0MVDCmRyNqOpXUd0miiMpUGPr6+tK7d2/tzxnRtQu0RqNh6dKl/PTTT0RGRuLm5sbkyZOpUKFCussnJiayePFi9uzZQ2RkJLVr12bixInUqFFDp+0KIfTr6LmHbDtyE4BBneriWaesnisSRVmmwvCPP/5I9+ecsHz5crZu3cqcOXOwt7dn/vz59OvXj19++SXdnqlTpkzh2LFjzJkzh3LlyvH999/Tv39/Dh06hJWVVY7WJoTIHTcexrLjr4cAdH63Ou81cdJzRaKoy5G7Yv7zzz8cOXKEiIgInR6XkJDAunXrGDFiBC1atMDFxYVFixYRFBTEkSNH0iwfGBjIrl27mDlzJs2bN6dKlSrMmDEDExMT/vnnn5x4KkKIXHbj/gt2nnyGosC77hXp3sZF3yUJoXsYhoSE0LNnT5YvXw7A5s2b+fTTTxkxYgStW7fm1q1bmV7XjRs3iI6OxtPTUzvN2tqamjVrcu7cuTTLnzx5EisrK956661Uy//xxx+p1iGEyJ8CgyOZt+UiSWpwdS7F0E/qyegyIl/QuTfp/PnzCQgIYMCAAWg0Gnx8fGjSpAne3t7MmDGDhQsX4uPjk6l1pQzdVrZs6nMFdnZ26Q7rFhAQQIUKFThy5AirVq0iODiYmjVr8vXXX1OlShVdn4qWoijaQQViY2NT/S9Sk/Z5M2mj9IVFxPHNqnNExybhUNKEgR2qER8fp++y8iV5D2Xs1fZRFCXbX6p0DsO///6bCRMm0Lx5c/z8/Hj69CkzZ87ExcWFfv36MWbMmEyvK+WJvHpu0NTUlPDw8DTLR0VFcf/+fZYvX87YsWOxtrZmxYoVdOvWjYMHD1KyZNZ6oiUmJuLv759q2r1797K0rqJC2ufNpI3+E5ug4YejoTwLT6SktRFd3y7Jk0eBPHmk78ryN3kPZezl9snu6Gc6h2FMTAz29vYAnDhxAhMTExo3bqwtRlGUTK/LzMwMSD53mPIzJI94Y26e9qJbIyMjoqKiWLRokXZPcNGiRbz99tv8/PPP9OvXT9enA4CxsTFVq1YFkgP63r17ODo6pltDUSft82bSRqklJKqZvfEiIS8SKWFpwtc96hL9IkjaJwPyHsrYq+1z+/btbK9T5zB0dHTEz8+P+vXrc/jwYdzd3TE1NQVg3759ODo6ZnpdKYdHQ0JCqFjxv3uVhYSE4OzsnGZ5e3t7jIyMUh0SNTMzo0KFCjx8+FDXp6KlUqmwsLBINc3c3DzNNPEfaZ83kzYCtUZh8U9+XL/3HAszI6YNbEKZEsb4vwiS9skEaaOMpbRPTpx31rkDTf/+/Vm6dCmenp4EBgbSt29fAD755BP27dvHF198kel1ubi4YGlpmeraxYiICK5fv46bm1ua5d3c3EhKSuLq1avaaXFxcQQGBlKpUiVdn4oQIhcpisKaPVc5eeUxRoYqJvRxx6lccX2XJUS6dN4zbN++PWXLluX8+fO4u7tTv359IDmoRowYkaqn55uYmJjQo0cPFixYgK2tLeXLl2f+/PnY29vTunVr1Go1YWFhWFlZYWZmRqNGjWjSpAnjxo1j2rRplChRgsWLF2NoaMiHH36o61MRQuSinX/cYv/JAAC+6tqQetVK67kiIV5P5zAEaNiwIQ0bNiQ2NpbQ0FBKlCjBuHHjslTAiBEjSEpKYtKkScTFxeHm5sbatWsxNjbm4cOHvPPOO8yePZtOnToBsGTJEhYsWMCwYcOIi4vD1dWVjRs3Ymtrm6XtCyFy3u/nHrDxYHKntP4f1qZ5g/J6rkiIjGUpDP38/Jg3bx7//POPtsNM3bp1+fLLL7WdaTLL0NAQb29vvL2908xzcHDg5s2bqaZZWloyZcoUpkyZkpXShRC57PyNYBb/eAmATi2q0uGtrF/2JERe0TkML1y4QJ8+fahQoQJDhgyhVKlShISEcODAAfr168emTZto0KBBbtQqhMjn/n3wnDkbzqHRKLRo6EDv92vquyQhMkXnMPzuu+9o1KgRa9euxdDwv7tQDxs2jC+++IIlS5awbt26HC1SCJH/PX4axbS1Z4hLUNOgemlGfNYAAwMZXUYUDDr3Jr169Sq9evVKFYSQfKf7Hj16cOXKlRwrTghRMDyPjOPbVacJj0qgikNxvu7thrFRjgx9LESe0PndWqxYMZKSktKdl5SUpNNF90KIgi8mLpGpa84Q9CwG+5IWfNuvMRZmxvouSwid6ByGrq6urFq1Ks2YeTExMaxatYpGjRrlWHFCiPwtMUnD7A3nuPMwnOKWJkzt74mNldmbHyhEPqPzOcPRo0fTqVMn3nnnHVq0aEHp0qUJDQ3l2LFjxMXFMXPmzNyoUwiRz2g0Cot3XOTSv6GYmRgy+YvGlCttqe+yhMgSncOwUqVK7Nixg6VLl3L8+HHCw8MpXrw47u7uDBs2TDvGpxCicNtw4DrHLjzE0EDF173dqF7RRt8lCZFlWbrOsGrVqnz33Xc5XIoQoqDYe+IOu48lD448onN9GrqU0XNFQmRPpsPw33//ZevWrTx+/JiKFSvSpUsX2QsUogj66+Ij1uz9B4Be7Wrg1ajiGx4hRP6XqTC8cOECvXv3Rq1WY2Njw99//8327dtZuHAhbdq0ye0ahRD5xOVbofxv2wUA2jdz4hOvanquSIickanepMuWLaNKlSr89ttvnDx5kpMnT+Lm5sb8+fNzuz4hRD5x91E4M384S5JaQ9O65ej3YZ0cuXWOEPlBpsLw6tWrDBs2jPLlkwfbtbGxYcyYMTx69IiQkJBcLVAIoX/BYTFMWX2a2PgkalcpyVfdXDGU0WVEIZKpMIyKiqJUqVKppjk5OaEoCs+fP8+VwoQQ+UN4VDzfrjrN88h4HMtaM7GvBybGhm9+oBAFSKbOGWo0GgwMUudmyt3tXzcajRCi4IqJS+TX0/d5HhnH35cf8/RFLKVtzJnSvzGW5jK6jCh8snRphRCi8Dp99Qkrf77Cs/A47TRLc2Om9vekZHFzPVYmRO7JdBiGhoby+PFj7e9qtRqAp0+fppoOUK5cuRwqTwiRV56+iGXlz1c4808QAHa2FjSubY+psSEtG1agQhkrPVcoRO7JdBgOGzYs3emDBg1KM83f3z/rFQkh8pRao3DwZACbDvkTG5+EoYGKj1pUpfO71TEzkYNHomjI1Dt99uzZuV2HEEIPAh6Hs/SnS/z74AUAzpVsGPZpfRzLWuu3MCHyWKbC8KOPPsrtOoQQeSguIYntR27y8/E7aDQKFmZG9GpXk/c8HeWGvKJIytSlFd9//z0JCQk6rTgmJoZFixZlqSghRO65cCOEYfP/ZNeft9FoFJrULcvysV6839RJglAUWZnaM4yIiKB169b06dOHdu3aYWdn99plQ0ND+emnn9i2bRutWrXKsUKFENnzPDKONXv/4cTFRwCUKmHO4E51ca9lr+fKhNC/TIXhN998Q6tWrZgzZw7z5s2jXr161K1bFwcHB8zNzYmMjOTJkyecP3+emzdvUqVKFWbNmkXz5s1zu34hxBtoNAq/nX3A+v3XiIpNxEAF7ZtXpkfbGpibSgcZIUCH3qSenp7s3buXY8eO8csvv7B//36ePXumnV+qVCmaNWvGsGHDaNmyZa4UK4TQTWBwJMt2Xuba3eS/1crlizP80/pUrVBCv4UJkc/o/LWwRYsWtGjRAoDY2FgiIyMpUaIEJiYmOV2bECIbHoVGMep/x0hI0mBqYkiPti580KwyhoaZ6iogRJGSrWMk5ubmmJvLiBRC5EcnLz8mIUlD5fLFmdjHHTtbC32XJES+JV8RhSikrgUkHxpt5VZRglCIN5AwFKIQUmsUbtwLA6Cmk62eqxEi/5MwFKIQuv8kgpi4JMxNjXAsV1zf5QiR70kYClEIpfQereFoKzfhFSITstyB5s6dO5w8eZKQkBB69uxJYGAgLi4uWFpa5mR9QogsSDlfWLOyHCIVIjN0DkONRsPkyZPZtWsXiqKgUql47733WL58OQ8ePGDz5s3Y28uIFkLoS0Kimqu3nwJQ06mknqsRomDQ+TDp8uXL+eWXX5gxYwYnT55EURQAvL290Wg0Mh6pEHr2u18gEdEJlCpuRg1H2TMUIjN0DsNdu3YxYsQIPv74Y0qUKKGdXqNGDUaMGMHJkydzsj4hhA7Uag27/7wFwEctqmIkF9gLkSk6/6U8ffqUGjVqpDuvTJkyREREZLsoIUTW/H35MUHPYrCyMKG1RyV9lyNEgaFzGFaqVInjx4+nO+/s2bNUqiR/gELow7PwWDYevA5Ah7cqYyaDcAuRaTr/tfTu3ZvJkyeTmJhIy5YtUalU3L9/H19fX9atW8fXX3+dG3UKIV5DURS2Hr7J9t9uAlC2ZDHaN6us56qEKFh0DsNPP/2UsLAwVqxYwbZt21AUha+++gpjY2P69etH165dc6NOIUQ6FEVh5c9XOXAyAAA7WwtmDGqCpbmxnisTomDJ0nGUgQMH0r17dy5evMiLFy+wtramXr16qTrUCCFyl0aj4LP7CodO30Olgp7v1aDj21UxNpJOM0LoSue/mvHjxxMYGIilpSXNmzfngw8+4O2336ZEiRLcvXuXQYMG5UadQoiXaDQKy3Ze1gbhyM4N+PSd6hKEQmRRpvYMHz9+rP15z549tGrVCkNDwzTLnThxglOnTuVcdUKINNQahSU/XuT3c4EYqGBUV1daNqyg77KEKNAyFYZTp07lxIkT2t+HDRuW7nKKotC0adOcqUwIkYZao/D99gv8ef4hBgYqRndz5a0GDvouS4gCL1NhOG3aNE6dOoWiKEyYMIHBgwdTsWLFVMsYGBhgbW2Nh4dHrhQqRFGnVmtYtO0ixy8mB6F3j4Y0q1de32UJUShkKgzLlCnDRx99BIBKpeLtt9/G1laGeRIirySpNSzccp6/Lz/G0EDF2J6NaFK3nL7LEqLQ0Lk36UcffUR8fDxXrlwhISFBOzapRqMhNjYWPz8/xowZk+OFClFUJak1zN/sx6krTzAyVDGulxuNa5fVd1lCFCo6h6Gvry8jR44kPDw83fnFihWTMBQihyQmaZi36Rxn/gnCyNCA8X3ccK8pd4URIqfpHIaLFi3CxsaG6dOns2/fPgwMDOjUqRMnTpxg27ZtrF69OjfqFKLISUxSM2eDH2evB2FsZMCEPu40qlFG32UJUSjpHIY3b95kxowZvPvuu0RGRrJ9+3befvtt3n77bRITE1mxYgWrVq3KjVqFKDISEtXM3nAOP/9gTIwMmPi5B67OdvouS4hCS+crdDUaDWXKJH87rVSpErdu3dLOa9OmDdevX8+56oQoguIT1cxY55schMaGTP6isQShELlM5zCsWLEiN28mDwjs5OREbGwsd+/eBSApKYno6OicrVCIIiQuIYnpa89w8d9QzEwMmdKvMfWql9Z3WUIUejqH4QcffMCCBQvYvHkztra21K5dm+nTp/PHH3+wbNkyqlatmht1ClHoxcUnMW2NL5dvPcXc1JAp/T2pU7WUvssSokjQOQz79etHly5duHz5MgDffvst/v7+DBkyhLt37zJ27NgcL1KIwi4mLpEpa85w9c5TzE2NmNq/CbUql9R3WUIUGTp3oDEwMGDcuHHa3+vUqcPRo0e5e/culStXxtLSMkcLFKKwi4lLZMrqM/jfC8PCzIhpAzxxriSDWgiRl3JkiHtLS0vq1q1LZGQkI0eOzIlVClEkRMcmMnnVafzvhVHM3JjpA5tIEAqhB5naM1Sr1Xz33Xfs3r0blUpFx44d+fLLL7V3rkhISGD16tWsWbOGuLi4XC1YiMIiKjaRyStPcSvwBZbmxkwf1ISqDiX0XZYQRVKmwnDx4sWsXr2a+vXrY2lpydq1a7G0tGTQoEGcP3+e8ePH8+DBAypVqsSECRNyu2YhCrzImAQmrzzF7YfhWFmYMGNQEyqXL67vsoQosjIVhocPH+aDDz5g/vz5AKxevZpt27bh7OzM8OHDMTY2ZvTo0fTp0wdjY+NcLViIgi4iOoFvfE5x93E4xS1NmDGoKY5lrfVdlhBFWqbOGQYHB9O+fXvt7x06dODx48eMHTuWhg0bcuDAAfr37y9BKMQbhEfFM3HFSe4+DqeEpSkzB0sQCpEfZGrPMDY2FhsbG+3vKbdv8vDwYMmSJahUqtypTohC5HlkHJN8TvEgKBIbq+QgrFDGSt9lCSHIwqUVkHx5BUCfPn0kCIXIhOcRcUz0OUlgcBS21mbMHNwEBzsJQiHyiyyFYQpzc/OcqkOIQutZeCwTV5ziUWgUpYqbMXNIU8qVkutxhchPsnWdYU7sFWo0GhYvXkzz5s2pX78+/fv3JzAwMFOP3bdvH87Ozjx8+DDbdQiRG56+iGXC8pM8Co2itI05s4c2kyAUIh/K9J5h586d00z7+OOP00xTqVQ63bli+fLlbN26lTlz5mBvb8/8+fPp168fv/zyCyYmJq993KNHj5g2bVqmtyNEXnv6Ipbp6y8Q9CwGO1sLZg1uShlbC32XJYRIR6bCcNiwYbmy8YSEBNatW8eYMWNo0aIFkHzz4ObNm3PkyJFUPVhfptFo8Pb2platWpw5cyZXahMiO55HJbFsrR+hL+KwL2nBzEFNsZMgFCLf0msY3rhxg+joaDw9PbXTrK2tqVmzJufOnXttGPr4+JCYmMiwYcMkDEW+ExwWw/qjoYTHqClbqhgzBzWltI2cXxciP8tWB5rsCgoKAqBs2bKpptvZ2WnnverKlSusW7eOnTt3EhwcnOs1CqGLx0+jmLrufHIQlrRg9pCmlCwuQShEfqfXMIyNjQVIc27Q1NSU8PDwNMvHxMQwZswYxowZg6OjY46FoaIoxMTEpKop5X+RmrTP6z1+Gs30H84TFhFPKWsjxnWvjbnxf+8tkUzeQ28mbZSxV9tHUZRsd+jUaxiamZkByecOU34GiI+PT/eyjRkzZuDk5ESXLl1ytI7ExET8/f1TTbt3716ObqOwkfZJLTQ8kQ1/hBIVq6F0cSN6e5XmxdPHvHj6WN+l5VvyHnozaaOMvdw+GXW4zAy9hmHK4dGQkBAqVqyonR4SEoKzs3Oa5Xft2oWJiQkNGjQAku+mAdC+fXsGDRrEoEGDslSHsbExVatWBZK/ady7dw9HR0e5jjId0j5pPQyJYtG+80TFaqhYxpIxXWoSFvpY2ug15D30ZtJGGXu1fW7fvp3tdeo1DF1cXLC0tMTX11cbhhEREVy/fp0ePXqkWf7IkSOpfr98+TLe3t6sWrWK6tWrZ7kOlUqFhUXqnn7m5uZppon/SPsku/8kgmk/nCc8KgGnctZMH9gEYwM1YaGPpY3eQNrnzaSNMpbSPjlxzXuWwjAsLIy1a9dy6tQpQkNDWbNmDUePHsXFxYVWrVplej0mJib06NGDBQsWYGtrS/ny5Zk/fz729va0bt0atVpNWFgYVlZWmJmZUalSpVSPT+lkU65cOUqUKJGVpyJElgU8DmfiilNExiRQxaE40wc2wcrCRM4RClEA6TwCTWBgIB06dODHH3+kTJkyPHv2DLVaTUBAACNGjODYsWM6rW/EiBF88sknTJo0ia5du2JoaMjatWsxNjbmyZMnNGvWjIMHD+paphC56vbDF0xccZLImASqVijBjP8PQiFEwaTznuHcuXMpWbIkmzZtwsLCgtq1awOwcOFC4uPj8fHx0V5AnxmGhoZ4e3vj7e2dZp6DgwM3b9587WM9PDwynC9EbrgV+JxvVp4mOjYR54o2TBngiaW53L5MiIJM5z3D06dPM2TIEKytrdMcp+3cuTO3bt3KseKEyG9u3g/jG59TRMcmUsPRlmkDJQiFKAyydM7QyCj9hyUkJMgtnUSh5R8QxrerTxMbn0StyiWZ/IUHFmYShEIUBjrvGTZq1IiVK1em6iSgUqnQaDRs27YNV1fXHC1QiPzg2t1nfLv6FLHxSdSpUoop/RpLEApRiOi8Zzh69Gi6du1K69at8fDwQKVSsXbtWu7cucP9+/fZunVrbtQphN5cvfOUaWvOEJegpl61Ukz63AMzE71elSSEyGE67xlWr16dnTt34uHhga+vL4aGhpw6dYqKFSuyfft2atSokRt1CqEXl2+FMmV1chA2qF6ab75oLEEoRCGk81+1Wq3GycmJhQsX5kY9QuQbF2+GMGOdLwlJGlxd7JjYxx0TY0N9lyWEyAU67xk2a9aMGTNmcPXq1dyoR4h84fyNYKb/fxA2qlGGSX0lCIUozHQOw/bt23P48GE+++wz2rZti4+PD48ePcqN2oTQCz//YGasO0tikgaPWvZM6OOGsZEEoRCFmc5hOHHiRE6cOMG6deto1KgRP/zwA++++y49evTgp59+IjIyMjfqFCJPnL0WxMwffElSa/CsU5ZxvSQIhSgKdA5DSL6UwtPTkxkzZvD333+zfPlyypYty9SpU2nevHlO1yhEnjh99TGzN5wlSa3QtF45xvZshLFRlv5EhBAFTLa6xSUlJfH3339z6NAhTpw4AYCnp2eOFCZEXjp5+THzN/uh1ii8Vb88X3VzxdBQglCIokLnMFQUhTNnznDgwAF+++03wsPDqVu3LiNGjKBdu3bY2NjkRp1C5Jq/Lj5iwdbzaDQKLRo6MKpzAwlCIYoYncOwefPmPHv2jHLlytGtWzc+/PBDHB0dc6E0IXLfsQsPWbT1PBoFvBpVYETnBhgayJCCQhQ1Ooehl5cXHTp0oFGjRrlRjxB55g+/B3y//SIaBd51r8iwT+tjIEEoRJGkcxhOmzYtN+oQIk8dPXufxT9eQlGgTeNKDPm4ngShEEVYpsLwnXfeYdmyZbi4uPDOO+9kuKxKpeLo0aM5UpwQueHwmXss/ekyAO2aODLwo7oShEIUcZkKQ3d3d4oVKwaAm5ub3KZJFFiHTgWwfNcVAD5oXpn+H9aW97MQInNhOHv2bO3Pc+bMyXBZtVqdvYqEyCX7/77Lyp+ThxH88K0qfNGhlgShEALIwkX377zzDjdu3Eh33pUrV2jSpEm2ixIip+09cUcbhJ1aVJUgFEKkkqk9w/3795OUlATAo0ePOHLkSLqBePr0aRITE3O2QiGyafeft/lh/zUAPn2nGj3fqyFBKIRIJVNhePXqVTZs2AAkd5BZvnz5a5ft27dvzlQmRA746fd/2XjQH4DO71anexsXCUIhRBqZCsPRo0fTq1cvFEWhVatWLF26NM1NfA0NDbG0tMTS0jJXChVCVzt+u8nmX5OPYHRr40LX1s56rkgIkV9lKgxNTEwoX748AL///jt2dnYYGxvnamFCZJWiKGw7cpNtR24C0OM9Fzq3kiAUQrxepsJw6dKlfPrpp5QpU4aff/45w2VVKhVDhw7NkeKE0JWiKGz59QY7jv4LQJ/3a/KxVzU9VyWEyO8yHYZvvfUWZcqUYenSpRkuK2Eo9EVRFDYe9GfnH7cA+KJDLTq+XVXPVQkhCoJMheHLPUdfd1mFEPqkKAo/7L/Oz8duA9C/Y206NK+i56qEEAVFjtynJjQ0lGvXrskF90IvFEVhzb5/tEE46KM6EoRCCJ3oHIZRUVGMHz+eLVu2AHDo0CFatmzJJ598Qvv27Xny5EmOFynE6yiKwqqfr7LvxF0AhnxSj/ebVdZzVUKIgkbnMFy4cCGHDx+mePHiACxYsAAXFxeWLl2KkZERCxYsyPEihUiPRqOwYvcV9p8MQKWC4Z/V5z1PR32XJYQogHS+hdPvv//O119/Tfv27fnnn3949OgRY8eO5Z133iEpKYlvv/02N+oUIhWNRmH5rsscPnMflQpGfNaAVu4V9V2WEKKA0jkMX7x4QeXKyYehjh8/jpGREU2bNgWgePHixMfH52yFQrxCrVFY+uMljp57gIEKRnV1pWXDCvouSwhRgOl8mLR8+fLcvJl8MfPRo0epX7++dtSZ48eP4+DgkLMVCvEStUZh8Y6L2iD8qltDCUIhRLbpHIZdunRhzpw5tGvXDn9/f7p16wbAsGHDWL9+PV26dMnxIoUAUKs1LNp6gT/8AjEwUDGmRyPedpUvX0KI7NP5MGnv3r0pWbIk586dY9iwYbRr1w4AY2NjpkyZQufOnXO8SCHUag0Lt17gr0uPMDRQ4d2zEU3rltN3WUKIQkLnMARo37497du3TzVt0aJFOVKQEK9KUmtYsPk8J688xshQxbhebjSuXVbfZQkhCpEshWFAQACLFy/m7NmzREREYGNjQ6NGjRg6dChVqsjFziLnJCZpmL/Zj9NXn2BkaMD4Pm6417TXd1lCiEJG5zC8ffs2Xbp0wdDQEC8vL0qVKkVoaCh//vknx44d46effpJAFDkiMUnNnA1+nL0ehLGRARP6uNOoRhl9lyWEKIR0DsMFCxbg4ODApk2bsLKy0k6PjIykd+/eLFq06I2DeQvxJgmJamZvOIeffzAmRgZM7OuBq4udvssSQhRSOvcmPXfuHIMGDUoVhABWVlYMGDCAc+fO5VhxomiKT1Qzc/3Z5CA0NuSbLyQIhRC5S+c9QyMjI0xNTdOdZ2JiQkJCQraLEkVXXEISM384y6V/QzE1MWTyFx7UrVpa32UJIQo5nfcM69Spw9atW1EUJdV0RVHYsmULtWvXzrHiRNESF5/E9LW+XPo3FDMTQ6b0ayxBKITIEzrvGY4cOZKuXbvSoUMH2rZtS+nSpQkNDeXXX38lICCAH374ITfqFIVcbHwSU9ec4drdZ5ibGjKlvyc1nUrquywhRBGhcxjWqVOHNWvWsHDhQpYuXYqiKKhUKmrXrs3q1atxc3PLjTpFIRYTl8iU1WfwvxeGhZkRU/t74uJoq++yhBBFSJauM2zcuDE//fQTsbGxREREYG1tjbm5eU7XJoqA6NhEpqw+zY37zylmZsS0gU2oXtFG32UJIYqYTIfhs2fP2L17N48fP6ZSpUp88MEHlCxZUkJQZFlUbCLfrjrFvw9eYGluzPSBTahaoYS+yxJCFEGZCsPbt2/TvXt3wsPDtdOWL1/OsmXL5LCoyJLImAQmrzzF7YfhWFkkB2EVhxL6LksIUURlqjfpd999h6WlJZs3b+by5cv8/PPPODg4MH369NyuTxRCEdEJTPJJDkLrYibMHNxUglAIoVeZCkM/Pz+++uorGjVqhKmpKTVq1GDChAncunWLsLCw3K5RFCLhUfFMXHGSu4/CKWFpyqzBTXEqV1zfZQkhirhMhWFkZCTlyqW+XY6LiwuKovD06dNcKUwUPi8ik4Pw3pMIbKxMmTWkKZXKWuu7LCGEyNw5Q7VajaGhYappKR1nEhMTc74qUeg8j4hjos8pAoMjsbU2ZebgpjjYWb35gUIIkQeydGmFELp4Fh7LxBWneBQaRcniZswa3JRypS31XZYQQmhlOwxVKlVO1CEKqWfhsUxYfpLHT6MpVcKcWYObUrZUMX2XJYQQqWQ6DDt37pzu9I8//jjV7yqViuvXr2evKlEohD6PZeKKkzx5Fo2djTkzBzfFvqQEoRAi/8lUGA4bNiy36xCFTEhYDBNWnCQ4LIYythbMGtwUO1sLfZclhBDpkjAUOS7oWTQTV5wk5HksZUsWY+bgppS2kZGKhBD5l3SgETnqydNoJqw4ydMXsZQrVYxZQ5pSsrgEoRAif5MwFDnmcWgUE1ac5Fl4HA52lswc3BRbazN9lyWEEG8kYShyxMOQSCauOElYRDwVylgxc1ATbCQIhRAFhIShyLYHQRFM9DnFi8h4KtlbMWNQU0pYmeq7LCGEyDQJQ5Et959EMMnnFC+i4nEqZ830gU0obilBKIQoWLIUhmFhYaxdu5ZTp04RGhrKmjVrOHr0KC4uLrRq1SqnaxT5VMDjcCb5nCIiOoHK5YszfWATrIuZ6LssIYTQWaYG6n5ZYGAgHTp04Mcff6RMmTI8e/YMtVpNQEAAI0aM4NixYzoXodFoWLx4Mc2bN6d+/fr079+fwMDA1y5/69YtBgwYgIeHB56enowYMYLHjx/rvF2RdQGPI5i44iQR0QlUrVCCmYMkCIUQBZfOYTh37lxKlizJ77//ztKlS1EUBYCFCxfi5eWFj4+PzkUsX76crVu3Mn36dLZv345Go6Ffv34kJCSkWfb58+f07dsXMzMzNm3axOrVqwkLC6Nfv37Ex8frvG2hu8dhCUxff57ImESqVyzB9IFNsLSQIBRCFFw6h+Hp06cZMmQI1tbWacYl7dy5M7du3dJpfQkJCaxbt44RI0bQokULXFxcWLRoEUFBQRw5ciTN8kePHiUmJoZ58+ZRvXp1ateuzfz587lz5w4XLlzQ9ekIHd1+GM6G30OJjk3CpZIN0wY0wdLcWN9lCSFEtugchgBGRumfakxISNB54O4bN24QHR2Np6endpq1tTU1a9bk3LlzaZb39PRk+fLlmJn9123fwCD5aUREROi0baGbG/fCmLH+AvGJCi6VSjB1gCfFJAiFEIWAzh1oGjVqxMqVK/H09MTUNLnXoEqlQqPRsG3bNlxdXXVaX1BQEABly5ZNNd3Ozk4772UODg44ODikmrZq1SrMzMxwc3PTadspFEUhJiYGgNjY2FT/i2Q37j9n9saLxCWoqWRnwqhPa4AmkZgYuZ/lq+Q9lDFpnzeTNsrYq+2jKEq276CkcxiOHj2arl270rp1azw8PFCpVKxdu5Y7d+5w//59tm7dqtP6Up6MiUnqc06mpqaEh4e/8fGbNm1i8+bNTJo0CVtbW522nSIxMRF/f/9U0+7du5eldRVG90Li2XLsKYlJCo5lTOn2dkmCHgcSJH2WMiTvoYxJ+7yZtFHGXm6fVzNEVzqHYfXq1dm1axdLlizB19cXQ0NDTp06hZubG3PnzsXZ2Vmn9aUc7kxISEh16DM+Ph5z89ePaakoCt9//z0rVqxg8ODB9OzZU9enomVsbEzVqlWB5HC+d+8ejo6OGW6/qPjnbhjbjl8kMUmhThVbhnVy5smjQGmfDMh7KGPSPm8mbZSxV9vn9u3b2V5nlq4zdHR0ZOHChdneOPx3eDQkJISKFStqp4eEhLw2WBMTExk/fjz79+9n/Pjx9OnTJ1s1qFQqLCxS317I3Nw8zbSi5tK/IczdfImERA2uznZM6OuOOjGeJ4+kfTJD2ihj0j5vJm2UsZT2yYmbzOschpm5nq9cuXKZXp+LiwuWlpb4+vpqwzAiIoLr16/To0ePdB8zduxYfvvtNxYuXMj777+f6W2JzLtwI4SZP/iSkKShUY0yjO/thomxIXKKUAhRGOkchl5eXm9M4VfPv2XExMSEHj16sGDBAmxtbSlfvjzz58/H3t6e1q1bo1arCQsLw8rKCjMzM3bv3s3BgwcZO3Ys7u7uhIaGateVsozIHj//YGatP0tikgaPWvaM69UIYyNDfZclhBC5RucwnDVrVpowjImJwc/PD19fX2bNmqVzESNGjCApKYlJkyYRFxeHm5sba9euxdjYmIcPH/LOO+8we/ZsOnXqxP79+wGYN28e8+bNS7WelGVE1p29FsTsDedIUmvwrFMW7x6NMDbK0hU4QghRYOgchq8Lm+7duzN79mx++eUXWrRoodM6DQ0N8fb2xtvbO808BwcHbt68qf193bp1Oq1bZN7pq0+Yt+kcSWqFpnXLMaZHQ4wMJQiFEIVfjn7SeXl5ZWlsUqF/J688Zu7G5CB8q355vCUIhRBFSI7ewuny5cuvHZ1G5F9/XXrEgi3n0WgUWrg6MKpLAwwlCIUQRYjOyTV+/Pg00zQaDUFBQZw7d45PPvkkRwoTeePYhYcs2noejQJejSowonMDDA2y301ZCCEKEp3D0NfXN800lUqFpaUl/fv3Z9CgQTlSmMh9f/gF8v32C2gUeNe9IkM/rS9BKIQoknQOw9WrV1OlSpXcqEXkoaNnH7D4x4soCrRpXIkhH9fDQIJQCFFE6XxiqFu3buzZsycXShF55fCZ+9ogfK+JowShEKLI03nP0NjYGBsbm9yoReSBQ6fvsXznZQDaN3NiQMc6OTKUkRBCFGQ6h+HIkSOZN28ekZGRuLi4pDtuni7DsYm8c+Dvu/j8fBWADm9Vpl+H2hKEQghBFsJwypQpqNXqdC+QT6HLcGwib+w7cYfVe/8B4KMWVenbvqYEoRBC/D+dw3DGjBm5UYfIRXuO32btvmsAfOJVjV7takgQCiHESzIVhr169eLbb7+lSpUqfPTRR7ldk8hBu/64xfoD1wHo3Ko63du6SBAKIcQrMhWGZ8+eJTo6OrdrETnsx6P/sulQ8iHrbq2d6drGRc8VCSFE/iRjpxVS247cZOvhGwD0aOtC53fTv1GyEEIICcNCR1EUthy+wY7f/gWgV7safPpOdT1XJYQQ+Vumw3Do0KGYmJi8cTmVSsXRo0ezVZTIGkVR2HTIn59+vwVA3/a16NSyqp6rEkKI/C/TYVizZk1sbW1zsxaRDYqisH7/dXYfuw1Avw9r8+FbMmyeEEJkhk57hnXr1s3NWkQWKYrC2n3X2HviDgADP6pD+2aV9VyVEEIUHHLOsIBTFIVVe66y/+8AAAZ/XJd2TZz0XJUQQhQsEoYFmEaj4PPzFQ6dugfAsE/r0aaxo15rEkKIgihTYfjRRx/J4Nz5jEajsHzXZQ6fuY9KBcM/rc+7HpX0XZYQQhRImQrD2bNn53YdQgcajcLSny7x29kHGKhgZJcGeDWqqO+yhBCiwJLDpAWMWqOweMdF/vALxEAFX3ZrSAtXB32XJYQQBZqEYQGiVmv4bvtFjl14iIGBijHdGtK8QXl9lyWEEAWehGEBoVZr+N/WC5y49AhDAxXePRvRtK7cN1IIIXKChGEBkKTWsGDLeU5efoyRoYqxPd3wrFNW32UJIUShIWGYzyUmaZi/2Y/TV59gZGjA+N5uuNey13dZQghRqEgY5mOJSWrmbvTD91oQxkYGTOjjTqMaZfRdlhBCFDoShvlUQqKa2RvO4ecfjLGRAZP6euDqYqfvsoQQolCSMMyHEhLVzFx/lgs3QjAxMuCbLzyoX12CUAghcouEYT4Tn6hmxjpfLv0biqmJId987kG9aqX1XZYQQhRqEob5SFxCEtPX+nLl9lPMTAyZ3K8xdaqU0ndZQghR6EkY5hOx8clBePXOU8xNDfm2nye1KpfUd1lCCFEkSBjmAzFxiUxb68u1u88wNzVi2gBPXBzlRspCCJFXJAz1LCYukSmrz+B/L4xiZkZMHeCJcyUJQiGEyEsShnoUFZvIlFWnufngOcXMjZk+0JNqFeRWWYWNWq0mMTFR32XkG/Hx8dr/DQwM9FxN/iRt9B9jY2MMDQ1zfTsShnoSFZPAN6tOczvwBVYWxkwb2ISqDiX0XZbIQYqi8OTJE168eKHvUvIVjUaDkZERjx8/LvIf9K8jbZRaiRIlsLe3R6VS5do2JAz1ICI6gW9WnuLuo3CsLEyYObgJTuWK67sskcOePXtGdHQ0dnZ2WFhY5OofckGiVquJj4/H1NQ0T77xF0TSRskURSEmJoaQkBAAypbNvTGZJQzzWHhUPN+sPEXA4wiKW5owY1BTHMta67sskQsiIyOxt7enZEnpFfwytVoNgJmZWZH+oM+ItNF/zM3NAQgJCcHOzi7X2kP2v/PQi8h4JvkkB2EJK1NmDZYgLOwsLCz0XYIQBV7K31FunnuXPcM88jwyjokrThEYHImttSkzBjWlQhkrfZclcpkcGhUi+/Li70jCMA+ERcQxccVJHoZEYWttxqwhTSlf2lLfZQkhhPh/Eoa57Fl4LBNXnORRaDSlipsxc0hTypWSIBRCiPxEzhnmotDnsYxflhyEpW3MmT20mQShKJCSkpLYsGEDnTp1okGDBjRu3JjPP/+cM2fOpFrO2dmZ3bt350lNS5YswcvLS/v78ePH8fLyok6dOmzcuBEvLy+WLFmSK9tev349M2bMSDN99OjRODs7c/To0TTzfH19cXZ25uHDh2nmPXz4EGdnZ3x9fVNNv3nzJt7e3rz11lvUrVuXNm3asGjRIqKionLuyfw/jUbD4sWLad68OfXr16d///4EBgZm+Jh9+/bh7Oyc5t/Lz/HQoUO0a9eOunXr0rFjR06fPq2dFxwczHvvvZcrz0dXEoa5JCQshvHL/+bJs2jsbC2YPaQZ9iWL6bssIXQWHx9Pr169WL9+PT179uTnn39m/fr1VKlShb59+/LLL7/opa7PP/+cnTt3an//7rvvcHJy4tChQ3Tq1ImdO3fy+eef5/h2Hzx4wLp16xg+fHiq6ZGRkRw9ehQnJye2b9+e7e38/vvvdO7cGSMjIxYvXsyBAwfw9vbm0KFD9O7dm+jo6Gxv42XLly9n69atTJ8+ne3bt6PRaOjXrx8JCQmvfczNmzdxd3fn77//TvUv5RKIM2fO4O3tTZcuXfj555/x9PRkwIAB3LlzB4AyZcrQrl075s6dm6PPJSskDHNB0LNoxi//m+CwGMqWLMbsIU0pYyu9CkXB9P3333Pz5k22bt3KRx99hKOjIy4uLkycOJGOHTsyY8aMHP9gzoxixYpha/vf0IXh4eHUq1cPBwcHLC0tsbW1pVixnP8CumzZMt5//32KF099bfD+/fsxNDRkyJAhnDx5Mt09wMwKDQ1lypQpdOnShdmzZ1O/fn0qVKhAq1atWLNmDTdu3GDz5s3ZfSpaCQkJrFu3jhEjRtCiRQtcXFxYtGgRQUFBHDly5LWP+/fff3F2dqZ06dKp/qVc/rB69WpatWpFr169qFKlCuPGjaNWrVps2LBBu46ePXuyd+9e7t+/n2PPJyskDHPYk6fRTFhxkpDnsZQrVYxZQ5piZyNBKP6jKApx8Ul6+acoik61JiYmsmvXLjp16pTuBc+jRo1i9erVmJmZpZmn0WhYuXIlbdq0oXbt2ri6utKvXz8ePHigXeb48eN06tSJevXq4enpyddff014eLh2/tq1a2nVqhW1a9fGy8uLZcuWaZ/Dy4dJnZ2defToEcuWLcPZ2RkgzWHSP//8k06dOlG3bl3effddvvvuu1R7Pc7OzixevJiWLVvSrFkz7t27l+Y5BQcHc+DAAd57770083bv3o27uzvvvPMOxsbG/Pjjj29q3tfav38/cXFxDBo0KM28ihUrsmHDBj755JN0H7t79+50D106OzunOqz8shs3bhAdHY2np6d2mrW1NTVr1uTcuXOvrfPmzZtUqVIl3XkajYYLFy6kWieAh4dHqnWWKFECT09P1q9f/9rt5AXpQJODHodGMXHFSZ6Gx1G+tCUzBzehZHFzfZcl8hFFURi39G/874XpZfs1HG2ZO6xZpruqBwYG8uLFC1xdXdOdX6ZMGcqUKZPuvI0bN7J27Vrmzp1L9erVefDgAd988w3z5s1jwYIFPH/+nGHDhvH111/TokULgoKCGDt2LPPmzWPmzJn88ccfrFy5kkWLFuHk5MSlS5cYO3YsDg4OfPjhh6m29ffff/PJJ5/Qrl27dA+NnjhxglGjRjF+/HiaNGnCgwcPmD59OgEBAXz//ffa5bZu3crq1atRq9U4OjqmWc/x48extrambt26qabfunWLK1euMHfuXIoVK0aLFi3YtWsXw4cPx9jY+E3NnMa1a9eoVKkSJUqUSHd+o0aNXvvYdu3a0bx583Tnve6C9aCgICDtCC92dnbaea8KDw8nODgYPz8/tm7dyvPnz6lbty7e3t44OTkRERFBTEwM9vb2b1xnixYt8PHx4dtvv33t88ptEoY55GFIJBNXnCIsIo4KZSyZOagpNtZpvy0LUZCk7KW9ekgwMypWrMjcuXNp2bIlAOXLl6dt27b8+uuvQPIHcEJCAuXKlaN8+fKUL18eHx8f7egrDx48wMTEhPLly1OuXDnKlSuHnZ0d5cqVS7OtlENzFhYWlC5dOs18Hx8fPvvsM7p06aKtberUqfTu3ZuHDx/i4OAAwIcffkidOnVe+5wuXbpEtWrV0kzfvXs3pqamtGrVCoD333+fw4cPc/To0XT3It8kPDwca+usDchhZmaW7p56RmJjYwEwMTFJNd3U1DTVnvrLbt26BSR/wZs9ezZxcXGsWLGCbt268csvv5CUlPTadaYMRJ6iWrVqBAUF8eTJk1wdci0jEoY5IOhZNBOWn+R5ZDyV7K2YMagpJaxM9V2WyIdUKhVzhzUjPkGtl+2bmhjqdAFzyjm5rAw27uXlxeXLl/n+++8JCAggICCA27dvY2dnB0CNGjVo3749gwYNonTp0jRt2pQWLVrw7rvvAtChQwd27dpFmzZtqFq1Kk2aNKFNmzbphuGbXL9+nStXrqTqcJNyuPXOnTvaMKxUqVKG63n69Gma4fWSkpLYt28fb7/9NpaWyb3FW7RoQbFixdi+fbs2DI2MjFJt92Up01KWsbGx4dGjRzo/T0ju4fm6Paxy5cpx4MCBNNNTwjMhISFVkMbHx2uHQ3tVo0aNOH36NDY2Ntr31NKlS2nRogW7d+/m008/1a7zZemtM+V9FhoaKmFYkG065M/zyHgcy1ozY1ATiltKEIrXU6lUmJkWjD+9ChUqUKpUKS5cuEC7du3SzL9z5w4zZ85k/PjxafaYVq1axbJly/joo4/w9PSkT58+/P777+zfv1+7zMKFCxk6dCgnTpzg1KlTeHt707BhQzZs2ICtrS179+7l4sWLnDx5kr///puNGzcyfPhwhg0bptPzSOkZ+dFHH6WZ9/Ke5Jv2qAwMDLR7rimOHTvG06dP+e2336hZs6Z2ulqtxtfXl4CAAJycnLR71xEREWnWm/JlI+WwaIMGDTh48CDPnz+nVKlSaZafPXs2lpaWaXq0QvKXkHr16qVbf0rYviolgEJCQqhYsaJ2ekhIiPYcbHpe7sAEyeOIOjg4EBwcTIkSJbCwsNAOsv3yOl89tK7RaAD0eocO6UCTTTfuhfH3peRvcF92dZUgFIWKgYEBn3zyCbt37+bJkydp5q9Zs4arV69Svnz5NPN8fHwYOnQoU6ZMoXPnztSvX5979+5p94IuX77MrFmzqFy5Mn369GHVqlXMmjWLM2fO8OzZM/bt28e2bdto2LAhI0aM4Mcff+TTTz/l4MGDOj+PatWqERAQQKVKlbT/goKCmDdvnk49YUuXLk1YWOrzvbt27cLGxoY9e/ak+rd8+XIURdF2pHF0dKRYsWL4+fmlWe/58+extLTUnqds27YtFhYWrFy5Ms2yd+7cYdu2ba8NNktLy1TP8+V/6b1OAC4uLlhaWqa6zjEiIoLr16/j5uaW7mN27NiBh4cHMTEx2mlRUVHcu3ePqlWrolKpcHV15ezZs6ke5+vrm+ac57NnzwC0Rw30oWB8Pc2nYuISWbDlPBoFWjR0oHJ5uQ2TKHwGDRrEX3/9Rbdu3Rg5ciSurq68ePGCbdu2sWfPHhYtWpTugORly5bl5MmTeHl5YWBgwN69ezly5Ij2MKOlpSVbt27F2NiYzz77jPj4eA4ePIijoyM2NjbEx8drO6Q0atSIoKAgzp07l2Hnkdfp378/o0aNYunSpbz//vsEBQUxceJEHBwc0j3H+Dp169bl8OHDaDQaDAwMePr0KSdOnOCLL77AxcUl1bLVq1fH3d2d3bt38+WXX2JiYsLnn3/O999/j6mpKU2aNCE+Pp6zZ8+yZMkSBg0apO3gYmNjw/jx45k8eTLR0dF06dKFEiVKcPHiRRYtWkSNGjXo06ePzu3wOiYmJvTo0YMFCxZga2tL+fLlmT9/Pvb29rRu3RpI3tMNCwvDysoKMzMz3nrrLRYsWMDYsWMZOXIkcXFx/O9//8PW1pZOnToB0LdvXwYMGEDNmjV566232LVrF/7+/sycOTPV9q9fv649J6wvEobZsPLnqwSHxWBnY86gj+q++QFCFEDm5uZs3ryZdevWsXr1ah4/foyZmRk1a9Zk06ZNrw2nefPmMW3aND7++GOKFStGvXr1mDp1KlOmTOHJkydUqVKFJUuWsHTpUrZu3YqBgQGNGzdm9erVGBgY8Omnn/LixQuWL1/OkydPKF68OG3atGHMmDE6P4e2bduyaNEiVq5ciY+PDyVKlMDLy0vndXl5efHtt99y/fp1ateuzb59+1AUha5du6a7fN++fRk8eDCHDh3iww8/ZNiwYZQsWZIff/xRe6G5k5MTEyZM4OOPP0712Pfee48KFSrwww8/MGTIECIiIihfvjwff/wxffv2fe25vKwaMWIESUlJTJo0ibi4ONzc3Fi7dq22N+yTJ0945513mD17tvZSm/Xr17Nw4UK6du2Koig0bdqUjRs3YmqafISsWbNmzJo1i+XLl7No0SKqVq2Kj49PmssxfH19X3vZR15RKbpeeFTIXL16FUDbgywmJgZ/f39q1Kjx2tvvqDUKmw5eZ9eftzFQwawhzahVuWjcsy4z7VPUpbSRmZkZVapU0blnX2GnVquJi4srsPfqGz16NMWLF2fy5Mm5to2C3ka6CA0NxcvLi71791K5cuV0l4mLi9OeezUzM0vzOfTq53hWyDlDHWk0CjPW+bLrz9sAfPpO9SIThEIIGDZsGIcOHUpz7lBkzebNm2nfvv1rgzCvSBjqaNuRm/j5BwPg1agCXVq/vqeVEKLwcXJy4osvvmDp0qX6LqXACw4O5tdff2X8+PH6LkXOGeri7LUgtv92E4CvurnSsmEFPVckhNCHfv366buEQqFMmTIcPnxY32UAsmeYaY9Do1i49TwA7Zs5SRAKIUQhImGYCWqNwrzNfsTEJVHTyZbPP6it75JEAVHE+6cJkSPy4u9IwjATjpy5x52H4RQzN2ZcLzeMjaTZROakjM8ohMi6lL+j1w00kBP0/qmu692Vnz9/zujRo3Fzc8Pd3Z2pU6dqB5nNDcfOB7J81xUAurdxwVYG3xaZZGhomO7QW0II3URERGBoaJirl5novQNNyt2V58yZg729PfPnz6dfv3788ssvaUY7h+QLQ2NjY1m/fj0RERFMnDiRmJiYHL9TclhEHAFBsSzcegGACmUsadfEMUe3IQo3GxsbwsLCMDU1pVixYjoNkF2YqdVq7V0LCvs1dFklbZRMURSio6OJiIigbNmyufo3pNcwTLm78pgxY2jRogUAixYtonnz5hw5coT27dunWv7ixYucPXuWgwcPakcwmDZtGv369eOrr7567X3VdPU0IpGp2/7i5cPU43q5YWio9x1pUYBYWlqi0Wh4+vQpoaGh+i4n39BoNCQlJWFkZKTXgZnzM2mj/6hUKkqUKJGl24jpQq9h+Ka7K78ahn5+fpQuXTrVUD7u7u6oVCrOnz+f7qj6ukhM0jBv80XO33yqnVaquBkNa5Shkn3W7i0mii6VSkXZsmWxs7MjMTFR3+XkG7Gxsdy9e5eKFSvm+JBihYW00X+MjY3zZO9Yr2Go692Vg4OD0yxrYmJCiRIl0h1RX1cBj8NTBeFb9cvj3VP3QYGFeFlun+soaFJu12NqaipD1b2GtFHe02sY6np35djY2HTPI6Z352RdKIpCTEwMmqT/bkI5sVddajqVTnV7EvHfa5abnZYKOmmjjEn7vJm0UcZebR9FUbJ9PlGvYajr3ZXNzMzS3DU5ZfnsDBqdmJiIv78/iqLQxrU4ZW1NME4K49YtGXvwde7du6fvEvI9aaOMSfu8mbRRxl5un/R2lHSh1zDU9e7K9vb2HD16NNW0hIQEXrx4ka37YBkbG1O1alUAnJxiuXfvHo6OjkX+WH16YmOlfd5E2ihj0j5vJm2UsVfb5/bt29lep17D8OW7K6eEYcrdlXv06JFmeTc3NxYsWMD9+/epVKkSgPYuyg0bNsxSDYmJiSiKwp07d4D/Rjp49OiRdIVPh7TPm0kbZUza582kjTL2avskJiYW7MOkb7q78qt3Vq5Xrx6urq58+eWXTJkyhZiYGCZPnkzHjh2zfFnFqw2oUqmyvbtdmEn7vJm0Ucakfd5M2ihjr7aPSqXKdhjq/ea+arWa//3vf+zevVt7d+XJkyfj4ODAw4cPU91ZGeDZs2dMnTqVv/76C1NTU9q2bcv48eO1d1YWQgghdKX3MBRCCCH0rWgPbSCEEEIgYSiEEEJIGAohhBAShkIIIYo8CUMhhBBFnoShEEKIIk/CUAghRJEnYSiEEKLIkzAUQghR5EkYCiGEKPIkDIUQQhR5RS4MNRoNixcvpnnz5tSvX5/+/fsTGBj42uWfP3/O6NGjcXNzw93dnalTpxbqu0/r2j63bt1iwIABeHh44OnpyYgRI3j8+HEeVpz3dG2jl+3btw9nZ2cePnyYy1Xqj67tk5iYyMKFC7XL9+jRA39//zysOO/p2kbPnj1j9OjRNG7cGA8PD7788kuCg4PzsGL9WblyJT179sxwmRz5nFaKmCVLligeHh7Kn3/+qfj7+yuff/650rp1ayU+Pj7d5Xv06KF8/PHHyj///KOcOnVKadmypTJ27Ng8rjrv6NI+YWFhStOmTZXhw4crN2/eVK5evap0795dee+995S4uDg9VJ83dH0PpXj48KHSsGFDpXr16kpgYGAeVZv3dG2fCRMmKE2aNFFOnDih3L59Wxk+fLjStGlTJSIiIo8rzztZ+Rzq0qWLcv36deXatWvKZ599pnz88cd5XHXe27x5s+Li4qL06NEjw+Vy4nO6SIVhfHy80qBBA2XLli3aaeHh4UrdunWVX375Jc3yFy5cUKpXr67cvn1bO+2vv/5SnJ2dlaCgoDypOS/p2j4//vij0qBBAyU2NlY77fHjx0r16tWVU6dO5UnNeU3XNkqhVquVrl27Kr169SrUYahr+zx48EBxdnZW/vzzz1TLt2zZUt5DL82rXr268vvvv2unHT16VKlevbry/PnzvCg5zwUFBSkDBw5U6tevr7Rt2zbDMMypz+kidZj0xo0bREdH4+npqZ1mbW1NzZo1OXfuXJrl/fz8KF26NFWqVNFOc3d3R6VScf78+TypOS/p2j6enp4sX74cMzMz7TQDg+S3VERERO4XrAe6tlEKHx8fEhMTGThwYF6UqTe6ts/JkyexsrLirbfeSrX8H3/8kWodhYmubWRmZkaxYsXYs2cPUVFRREVFsXfvXpycnLC2ts7L0vPMtWvXMDY2Zt++fdSrVy/DZXPqc1qvd7rPa0FBQQCULVs21XQ7OzvtvJcFBwenWdbExIQSJUrw5MmT3CtUT3RtHwcHBxwcHFJNW7VqFWZmZri5ueVeoXqkaxsBXLlyhXXr1rFz585Cf55H1/YJCAigQoUKHDlyhFWrVhEcHEzNmjX5+uuvU324FSa6tpGJiQlz5sxh8uTJNGrUCJVKhZ2dHZs3b9Z++SxsvLy88PLyytSyOfU5XThb8jVSTqiamJikmm5qakp8fHy6y7+6bEbLF3S6ts+rNm3axObNmxkzZgy2tra5UqO+6dpGMTExjBkzhjFjxuDo6JgXJeqVru0TFRXF/fv3Wb58OV999RUrVqzAyMiIbt268ezZszypOa/p2kaKouDv70+DBg3YsmULGzZsoFy5cgwZMoSoqKg8qTk/y6nP6SIVhimH8xISElJNj4+Px9zcPN3lX102ZXkLC4vcKVKPdG2fFIqi8N133zFjxgwGDx78xp5fBZmubTRjxgycnJzo0qVLntSnb7q2j5GREVFRUSxatIhmzZpRt25dFi1aBMDPP/+c+wXrga5tdOjQITZv3sz8+fNp2LAh7u7u+Pj48OjRI3bu3JknNednOfU5XaTCMGVXOiQkJNX0kJAQypQpk2Z5e3v7NMsmJCTw4sUL7Ozscq9QPdG1fSC5W7y3tzc+Pj6MHz+eUaNG5XaZeqVrG+3atYtTp07RoEEDGjRoQP/+/QFo3749Pj4+uV9wHsvK35iRkVGqQ6JmZmZUqFCh0F5+omsb+fn54eTkhKWlpXZa8eLFcXJy4v79+7lbbAGQU5/TRSoMXVxcsLS0xNfXVzstIiKC69evp3uOy83NjaCgoFRvuLNnzwLQsGHD3C84j+naPgBjx47l119/ZeHChfTp0yePKtUfXdvoyJEj7N+/nz179rBnzx5mzJgBJJ9bLYx7i1n5G0tKSuLq1avaaXFxcQQGBlKpUqU8qTmv6dpG9vb23L9/P9Uhv5iYGB4+fFgkDr2/SU59ThepDjQmJib06NGDBQsWYGtrS/ny5Zk/fz729va0bt0atVpNWFgYVlZWmJmZUa9ePVxdXfnyyy+ZMmUKMTExTJ48mY4dO752T6kg07V9du/ezcGDBxk7dizu7u6EhoZq15WyTGGjaxu9+oGe0kGiXLlylChRQg/PIHfp2j6NGjWiSZMmjBs3jmnTplGiRAkWL16MoaEhH374ob6fTq7QtY06duzI2rVrGTVqFCNHjgTgu+++w9TUlE6dOun52eS9XPuczsalIAVSUlKSMm/ePKVx48ZK/fr1lf79+2uv+QoMDFSqV6+u7Nq1S7v806dPleHDhyv169dXPDw8lG+//bZQX1CuS/v07dtXqV69err/Xm7DwkbX99DLzpw5U6ivM1QU3dsnMjJS+fbbbxUPDw+lXr16St++fZVbt27pq/w8oWsb3b59Wxk4cKDi7u6uNG7cWBk2bFihfg+9bNy4camuM8ytz2mVoihK7mW4EEIIkf8VqXOGQgghRHokDIUQQhR5EoZCCCGKPAlDIYQQRZ6EoRBCiCJPwlAIIUSRJ2EoirTCdGVRYXour1MUnqPQDwnDQuDrr7/G2dn5tf9+/fVXndaV2VunZEd6NdeqVYtmzZrh7e2d47fIevjwIc7OzuzevRtIHv5q7Nix+Pn5aZfp2bNnngwy/rrXq0GDBnzwwQf88MMPOq/z1q1bdO3aNUfrHDRoED/99BMAS5YsSVNvzZo18fDwYOjQody6dStHtw3g7OzMkiVLgOSxJmfNmsUvv/yinZ9X79WsvC9y6r20e/dunJ2dszVO65w5c9LU8vz5c1q0aEFgYGB2Syw0itRwbIVZ6dKlWbp0abrz8uv4ha/WnJSUREBAAAsWLODixYvs378/x4Z0s7OzY8eOHVSsWBEAf39/9u7dy8cff6xd5ttvv82RbWXGq89dURSePn3K9u3bmTNnDqampnTr1i3T6/v111+5ePFijtW3e/dugoODU7UPwI4dO7Q/q9VqHj9+zKJFi+jevTsHDhygdOnSOVbDjh07sLe3B5IHsd6wYQOzZ8/Wzh8yZAi9evXKse0VRuvWreOHH37A3d091XQbGxv69OnDhAkT2LhxIyqVSk8V5h8ShoWEiYkJ9evX13cZOkmv5kaNGmFsbMy4ceP4/fffef/993NtW6+qWrVqjmwrM15XT4sWLWjVqhW7d+/WKQxzUlxcHAsWLODbb79Nc/PYV2tu2LAhZcuWpXv37vz8888MGDAgx+p40+uV8sVGpBUYGMjcuXP5448/sLKySneZbt26sWLFCn777Tdat26dxxXmP3KYtAhRq9WsWrWK9u3bU7duXerXr0+XLl04c+bMax/zzz//0Lt3bxo2bEiDBg3o06cPly5dSrWMn58fPXr0oF69eri7uzNu3DjCwsKyXGedOnUAePTokXbayZMn6datGw0bNsTDw4PRo0enOpSq0WhYtGgRXl5e1K5dGy8vLxYuXEhiYiKQ+jCpr6+vdo+iV69e2kNILx/a+vzzz9MdBHnIkCF06NAh1567sbEx5ubmqb6px8XFsXDhQlq3bk3t2rVxdXWlb9+++Pv7A8mHMFP2Ml8+tKjRaFi1ahXvvvsutWvXpk2bNmzatOmNNezatYv4+HhatmyZqZpr164NpH69rl69yhdffIGHhweurq4MGjQozaHUDRs20LZtW+rUqUPz5s2ZMmVKqpvVpjyXhw8f8s477wAwfvx47aHRlw+TfvPNNzRt2hS1Wp1qGzNnzsTDw0P7Pvj3338ZOHAgrq6uuLq6MnToUJ0PFYaFhTF16lRatmxJ7dq1cXd3Z+jQoekeyly2bBlNmjShQYMGDBkyJM22dK3H19c31eH+15k9ezb3799nw4YN1KhRI91lTExMaNOmDStXrszEsy78JAwLkaSkpDT/Xu5wsGDBApYvX07nzp1Zs2YN06dP58WLF4wcOVJ79+2XRUVF0a9fP2xsbFiyZAmLFi0iNjaWL774gsjISADOnTtHnz59MDMz47vvvmPChAmcPXuWXr16ERcXl6XnERAQAPz3zX/Pnj18/vnnlC1blv/973+MHz+eixcv0rlzZ+3d0FevXs22bdsYOnQo69ato2vXrqxdu5YVK1akWX+tWrWYPHkyAJMnT0738GiHDh24du1aqtvCREREcOLECe3dFLL73F9+nRISEnj48CGzZ88mICCAjh07apcbO3Ysu3btYsCAAaxbt47x48dz69YtRo8ejaIofPrpp3zyySdA8qHFTz/9FIApU6awePFiOnTogI+PD23btmXWrFksW7Ysw7r27dtHixYt0r17eHpefb3OnDmjPX85a9YsZsyYwZMnT+jSpQt37twBYP/+/cyfP5/u3buzdu1ahg4dyt69e5k+fXqa9dvZ2WnDfvDgwemeDvjwww95+vRpqtsiaTQaDh06xPvvv4+xsTEBAQF06dKFZ8+eMXfuXGbOnElgYCBdu3bVvo/eRFEUBg4cyMmTJxkzZgxr165l2LBhnD59Os376Pz58xw4cIDJkyczY8YMbty4Qa9evbSBn5V6atWqxY4dO2jRokWGdY4aNYp9+/a99tZrKdq2bcs///yjfQ2LMjlMWkg8evSIWrVqpZk+evRo7aGrkJAQvvzyy1Qn001NTRk+fDg3b95Mc1jq9u3bPH/+nF69euHq6gpA5cqV2bFjB9HR0VhZWbFw4UKcnJxYuXIlhoaGANSrV4/333+fXbt20b179wzrTkpK0v4cFRXF1atXmT17Ng4ODrRo0QKNRsOCBQto1qwZCxcu1C7r6upKu3btWLt2LWPHjuXs2bPUrl1be47L3d0dc3PzdA8RWVpaag+JVq1aNd3Do61bt2bq1Kns37+foUOHAsn3JlSr1bRv3x4gW8/9da+Xo6Mj3377rTZMEhISiI6OZtKkSbRr10773KKiopgzZw5Pnz7F3t5ee24t5TUMCAjgxx9/5KuvvtK+/s2aNUOlUrFy5Uq6deuGjY1Nmu2nvAbvvfdeunW//HrFxcVx48YNZs2ahZWVlXaPeeHChVSqVIlVq1Zp26VZs2a8++67LF68mO+//56zZ8/i4OBA9+7dMTAwwN3dHQsLC8LDw9Ns08TERLt3U7FiRWrWrJlmmYYNG1K+fHn2799PkyZNgOS9qNDQUO2Xl6VLl2Jubs769eu1N8r19PSkVatWrFmzhnHjxqX7nF8WEhKCubk548aNo1GjRgB4eHjw4MGDVOdTAQwNDVm3bp32talcuTIdO3Zkz5499OjRI0v1WFpaZup0SPXq1d+4DPx3FOb06dM4OTll6jGFlYRhIVG6dOl094JS/hABbZiEhYVx9+5d7t+/z59//gkkf+i+qlq1atja2jJo0CDatm1L8+bNadq0Kd7e3gDExsZy+fJlvvjiCxRF0X5QVqhQgSpVqnDy5MksBUK9evWYNm0aZmZm3Llzh9DQUEaPHp1qmYoVK9KgQQPtTTw9PDxYuHAh3bp1w8vLixYtWtCjR48M2ywjFhYWtGrVioMHD2rD8MCBA3h6elKmTJlsP/eXX6+IiAiWL1/OgwcPmDNnDg0aNNAuZ2Jiwtq1awEIDg4mICCAe/fuZfi6QfLemaIoeHl5pQowLy8vVqxYwfnz52nVqlWaxz158gS1Wo2Dg0O6603v9apWrRpLly6ldOnSxMTEcPXqVYYNG6YNQgBra2tatmzJ8ePHAWjcuDE7duygU6dOtGrVirfffpsPPvggyx05VCoVHTp0YOvWrUyZMgUTExMOHDiAo6Mj9erV07aJu7s7ZmZm2jaxtLSkUaNGnDp1KlPbKVOmDBs3bkRRFB4+fMj9+/e5e/cuFy5cSPNauLq6pvr7q1GjBhUqVODcuXP06NEjR+rJLisrK6ytrbPVW7WwkDAsJExMTLTf8l7n6tWrTJ06latXr2Jubk7VqlUpV64ckP71W8WKFWPLli2sWLGCQ4cOsWPHDszMzPjwww+ZNGkSERERaDQaVq9ezerVq9M83tTUNMN6Xg1wExMT7O3tKV68uHbaixcvAChVqlSax5cqVYrr168D0K9fP4oVK8auXbtYsGAB8+fPp1q1akyaNInGjRtnWMfrfPjhh+zbt48bN25QqlQpfH19mTVrFkC2n/urr5erqysff/wx/fv356effkr1Lf2vv/5i1qxZ3L17l2LFiuHi4oKFhQXw+uvuUtrtdR2QgoOD052ecvg7Zf2v2rlzp/ZnY2NjSpcuTcmSJVM9XlGU175eKetv164dGo2GrVu3snz5cpYsWUL58uUZM2aMdg9YVx9++CErVqzgr7/+onnz5hw5coTevXtr57948YKDBw9y8ODBNI+1tbXN9Hb27dvH//73P548eUKJEiWoUaNGur2e02uDkiVLEhERkaP1ZJe5uXmqc7VFlYRhEZFy/s/Z2ZkDBw5QuXJlDAwMOH78OIcPH37t4ypXrsz8+fNRq9VcuXKFvXv3sm3bNipWrEiXLl1QqVT06dMn3Q9dc3PzDGvKTICn3A3+6dOnaeaFhoZqD/UZGBjQvXt3unfvzrNnzzh+/Dg+Pj4MHz6ckydPZriN1/H09KR06dIcOnSI0qVLY2pqqu11V6xYsWw99/SWnzNnDp07d2b8+PFs27YNlUrFgwcPGDp0KK1atWLlypVUqFABlUrFli1b+Ouvv167PmtrayC5k0qxYsXSzE/5EvSqlPZM+cB+1ZteLysrK1Qq1Wtfr5TXE6B9+/a0b9+eyMhI/v77b1avXo23tzcNGzbU7Q7l/8/JyYm6dety6NAhDAwMiIiISNXZycrKiiZNmtC3b980jzUyytxHoZ+fH+PGjaNnz5588cUX2jrnzZvH+fPnUy2b3iHf0NBQ7Z5/TtSTEyIiItI9ZF7USAeaIuLu3bu8ePGCXr16UbVqVW2X+RMnTgDJnQ1e9euvv9K4cWNCQ0MxNDSkQYMGTJkyBWtrax4/foylpSU1a9bk7t271KlTR/uvWrVqLFmyJFVnhqxycnKidOnS7N+/P9X0wMBALl26pD2X2aVLF2bMmAEkf/vu1KkT3bt3JyIiIt1vvS8fwnsdQ0NDPvjgA/78809+/fVXWrVqpd1jyo3nXrduXT777DMuXrzInj17gOTevPHx8QwYMICKFStqDyOmBGHKnuGrl0CknM96/vx5qvrCwsL4/vvvtXuOrypTpgyGhoYEBQXpXD8k71HWrl2bQ4cOperZGRkZybFjx2jYsCGQ3MEj5fCzlZUV7733HkOGDCEpKYmQkJA0683M6wXJe4d//fUXBw4cwNXVlQoVKmjnubu7c/v2bWrUqKFtj9q1a7N+/Xp+++23TK3/4sWLaDQahg8frg1CtVqtPaz58t/R+fPntXvCAJcvX+bRo0faIxU5UU92hYeHExsb+9ovR0WJhGER4eTkhKWlJT4+Phw7doy///6bb775hq1btwKk25vU1dUVjUbD0KFDOXr0KKdPn2by5MlERkZq95C++uor/v77b0aPHs3x48f5448/6NevH6dPn073/JKuDAwM0mxjz5499O3bl+LFi2u/Vbu5ubFt2zZ8fHzw9fVl37592ouN0zvklNKx5tixY9y4ceO12//www+5efMm58+f13bESJEbz33UqFEUL16chQsXEhUVRa1atTAyMmL+/PmcPHmSP//8k+HDh3Ps2DEAYmJigP/2BPfv309gYCDOzs506NCBb775hjVr1nDmzBm2bduGt7c3YWFhrx2IwcLCAldX1zR7OboYPXo0AQEBDBgwgN9//51ff/2V3r17k5CQoA3Axo0bc/ToUebOncvp06c5fPgw33//PY6Ojri4uKRZZ8rrdfr0aS5fvvzabbdr147o6GgOHjyY5vUaMmQIDx48YODAgRw9epS//vqL4cOHc+DAgXS3mZ66desCMG3aNM6cOcPhw4fp27ev9j2U8npAcjAOGDBA+54dNmwY1atX1+6tZqWeqKgoLl26lK3Ld16W8jo3a9YsR9ZXkEkYFhFWVlYsX74cRVEYOXIkY8eO5fHjx2zevJlixYqlGpYshZ2dHWvWrMHKyoqJEycycOBArl27xpIlS7Tfbps1a8batWsJCgpixIgRjB07FkNDQ3744YccGwSgU6dOLF68mICAAIYOHartZLJz507tiCcjR45k0KBB7Nq1i379+jFnzhyaNWvG4sWL011ntWrVaN++PVu2bGHMmDGv3baLiwvVq1enZMmSeHp6ppqXG8/dxsaGkSNHEhoayrJly6hUqRILFy4kODiYwYMHay8J2bRpEyqVSvu6tW7dmjp16vD1119rO9zMnj2bvn37sn37dvr164ePjw/t2rVj3bp1Ge5ptWnTBl9fX+Lj47P0HDw9Pfnhhx+Ii4vjq6++4ptvvqFMmTL8+OOP2l6OXbp0YdKkSZw4cYJBgwYxefJkqlSpwrp16zA2Nk6zTktLS/r27cvRo0fp37+/9rrBV9na2tKsWTMMDQ1p27ZtqnkuLi5s2bIFlUrF2LFjGTFihLadM3vRuYeHB5MnT+bixYv079+fOXPmUK5cOe3lHi9/iWjVqhWNGjXC29ubadOm4e7uzoYNG7Tnk7NSz7Vr1+jcubP2y1B2nThxgrp161K+fPkcWV9BplJk5FshxEtiY2Np1aoV3t7eqa53FIVLTEwMzZs3Z+7cuen2LC5qZM9QCJGKubk5w4cPZ+3atWlGdBGFx/bt26lWrZp2dJ+iTsJQCJFGly5dsLe31961QhQuYWFhrF+/nrlz58og3f9PDpMKIYQo8mTPUAghRJEnYSiEEKLIkzAUQghR5EkYCiGEKPIkDIUQQhR5EoZCCCGKPAlDIYQQRZ6EoRBCiCJPwlAIIUSR93+G7dwIBaDYlAAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "RocCurveDisplay.from_predictions(y_test2, probabilities, pos_label=1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "# roc_auc = []\n", "# specificity = []\n", "# sensitivity = []\n", "\n", "# for i in range(5):\n", "# model_apprx_xgb.fit(df_train, feature_cols, label_name, model_xgb)\n", " \n", "# train_apprx_xgb = model_apprx_xgb.predict(x_test2)\n", " \n", "# # Calculate ROC AUC\n", "# probabilities = model_apprx_xgb.predict_proba(x_test2)[:, 1]\n", "# roc_auc = roc_auc_score(y_test2, probabilities)\n", " \n", "# cm = confusion_matrix(y_test2, train_apprx_xgb)\n", "# tn, fp, fn, tp = cm.ravel()\n", "# specificity = tn / (tn + fp)\n", "# sensitivity = tp / (tp + fn)\n", " \n", "# print(f\"iteration{i+1}\")\n", "# print(f\"ROC_AUC={roc_auc}\")\n", "# print(f\"Specificity={specificity}\")\n", "# print(f\"Sensitivity={sensitivity}\")\n", "# print(\" \")" ] }, { "cell_type": "markdown", "metadata": { "id": "iKHS1AI8_lZw" }, "source": [ "# Interpretasi Model" ] }, { "cell_type": "markdown", "metadata": { "id": "diZjuopu_p4v" }, "source": [ "## Feature Importance" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "id": "xHCMr1M7rbM1" }, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Decrease in Accuracy Score')" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)\n", "from sklearn.inspection import permutation_importance\n", "\n", "result = permutation_importance(dt_pipeline, x_test, y_test, n_repeats=10, random_state=1)\n", "\n", "sorted_importances_idx_dt = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx_dt[0:14]].T,\n", " columns=feature_names[sorted_importances_idx_dt[0:14]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "id": "WIXwRYjQralR" }, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Decrease in Accuracy Score')" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)\n", "from sklearn.inspection import permutation_importance\n", "\n", "result = permutation_importance(rf_pipelines, x_test, y_test, n_repeats=10, random_state=1)\n", "\n", "sorted_importances_idx_rf = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx_rf[0:14]].T,\n", " columns=feature_names[sorted_importances_idx_rf[0:14]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "id": "jgN2qUn3h8H9" }, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Decrease in Accuracy Score')" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)i\n", "from sklearn.inspection import permutation_importance\n", "\n", "result = permutation_importance(xgb_pipelines, x_test, y_test, n_repeats=10, random_state=1)\n", "\n", "sorted_importances_idx_xgb = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx_xgb[0:14]].T,\n", " columns=feature_names[sorted_importances_idx_xgb[0:14]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "A4mAAsUD5OB_" }, "outputs": [], "source": [ "# COMMUNICATE the results\n", "## Model interpretation: Permutation Feature Importance (PFI)\n", "from sklearn.inspection import permutation_importance\n", "from sklearn.metrics import make_scorer, accuracy_score\n", "\n", "scorer = make_scorer(accuracy_score)\n", "\n", "result = permutation_importance(model_apprx_xgb, x_test2, y_test2, n_repeats=10, random_state=1, scoring = scorer)\n", "\n", "sorted_importances_idx = result.importances_mean.argsort()\n", "importances = pd.DataFrame(result.importances[sorted_importances_idx[0:14]].T,\n", " columns=feature_names[sorted_importances_idx[0:14]])\n", "\n", "ax = importances.plot.box(vert=False, whis=10)\n", "ax.set_title(\"Permutation Importances (Test Set)\")\n", "ax.axvline(x=0, color=\"k\", linestyle=\"--\")\n", "ax.set_xlabel(\"Decrease in Accuracy Score\")" ] }, { "cell_type": "markdown", "metadata": { "id": "ydxxSTBt_s2n" }, "source": [ "## PDPs" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "id": "JPkzUVjgXmjE" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['number_of_claims', 'number_of_dependants', 'patient_suffix', 'Fee Charged', 'membership_period']\n", "['number_of_dependants', 'patient_suffix', 'number_of_claims', 'Fee Charged', 'membership_period']\n", "['patient_suffix', 'membership_period', 'number_of_dependants', 'number_of_claims', 'Fee Charged']\n" ] } ], "source": [ "numerical_features_sorted_dt = [feature_names[i] for i in sorted_importances_idx_dt if feature_names[i] in num_col]\n", "numerical_features_sorted_dt.reverse()\n", "\n", "numerical_features_sorted_rf = [feature_names[i] for i in sorted_importances_idx_rf if feature_names[i] in num_col]\n", "numerical_features_sorted_rf.reverse()\n", "\n", "numerical_features_sorted_xgb = [feature_names[i] for i in sorted_importances_idx_xgb if feature_names[i] in num_col]\n", "numerical_features_sorted_xgb.reverse()\n", "\n", "# numerical_features_sorted = [feature_names[i] for i in sorted_importances_idx_dt if feature_names[i] in num_col]\n", "# numerical_features_sorted.reverse()\n", "\n", "print(numerical_features_sorted_dt)\n", "print(numerical_features_sorted_rf)\n", "print(numerical_features_sorted_xgb)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "id": "kCgbS97MGR7F" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "ccj4so5wGN9C" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(rf_pipelines, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipelines, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipelines, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "id": "Jx6Vw1_EBviw" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names)\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names)" ] }, { "cell_type": "markdown", "metadata": { "id": "IfTTpw2f_w_f" }, "source": [ "## ICEs" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "eYv62RmLcTSd" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(dt_pipeline, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names, kind='both')" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "pCv-gEBLcSma" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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uh0uWxvlNML0/pJSeLT1QruXOTcveNYGd6GWGxeWcfqHpGY3znrLxbExrxpVls2xYHTt6uWGQa8a1xXufrMdexyLItGKpl9EPQiE3+owurcVgVQwLg1GKcW0Zlw3HN6uZsb1Ms1BkDHuGXrab0nt3aFdQdGhv33Bg3yDk+SN/rcMpcA4a56hqR9W0TBklvmFjNFpF7cewbyiafS83FEZjgnAxWkQEiigm2h9eXBi+u46Qpqi87NcZC+CVB6/aKjMPoMi0zCW6Irqpjt+O9QXfSop1AjoK7Bik7lpDYUx3OVlgauf909gdNNn7Q3rs2dD8ddRWLIJpZZnUEsvSWtxSS/2MTCt8SESIsZ1JLd/XtHEhkUInRWtUNimG1aVephnkGYPC0M8MHnZ0aUXrZZgbBoUA6Y0ry9H1ciaYftdmw9GNKQtFliyWXZqlXUHRoY3a0Rs3FLkO5nFGLzOJyQuj1zOVv1uqhDsuFrXNGBU30DKZdqza9th0ApZ0xqltjhP33TcwHFrp73zsb3GmyLwffd6f3liHc56yEZdbYyWoXzWeUWXZmNy9ZvCnn0vr9ot/RYKG+dD692PQuhuDiVabizEeOjUH3WNuQzd9c8xd+R332bV0hR5z75nuvCetQGsFHHp+XMdSnRGQ21zHyYrLNqbsHRZiaYd/y/18y9iY8TQOQqSsLb3c0MsNVSNu3HFpMcbR04q6c0N7IcYBkIfgfRXibWXjt1gX0T3Vz8WtFV1a8/UeIIpUPzcsF5L5tzGVjKzukxvkJlkh91X69/2RdgVFhx5zYY8nP/6i8z2N01I3QBkZL7TLkSFPG8/mtEkxEOfFIrIha8nG9c5jveRWWxeZ3+w5YlpqZOrOOdEMQ3qqjXMJx3WunZt1Hu+E+cr8wxxlSZYdoMRUSm69TJNrTWbg2MixfGqy3e34tqVWLM+RVyh/3wlpH5IJmjnLMSUYpISFjvDqFNS1z2L2XcKTBPl2Mu+WIyU3/dUtVLVl2DMs9jL2DHIuWOxx0Uqfi1YGLA9yMiOB6X6+cwV3E6wRsUgclZWU6lHVcGpckxmJcxit6OcKpfRMQkS0HMQagNp6jm3MWg0gmYH9QjMIY51HEj0snBrXM0LHKEU/F8EwrhrWJrPWSq41w54IkX6uH/ApuruCokNNKBZKGi/MpGwmLbTz4cVUUUkblVhEyirqaKAp5rENE/YxfuFbt9DpqJsRtF32EIgvfOn4JsE7lsgTLZGuD0sltN+u5kznn6KNVyil6IUsrBisNyFbqrsu1kOY+X9KkWkdsqs6f8NEbYD3qJ0E94cbd3Llw/bd6+f77UC9jdsfENfy9+YE33n1I7HOc2JUcXyz5MjGlJMbFTce3WSjalAoFgpNP89Y7ufsXcg5uNznwFKfhV7LYDOjWTKapdNYI5PKMiobVic1o7JiEgLYWikGuTDtqsjQSs8w9EwrBoUw9EwrSivHOjlqs6imwTKJwmaQmzR2XDVMK7fFpeW8Z3Nasz6tca4t/JP5mCREHijB9F1B0aE71hv87WtA64fupmzOmO7BLM8iY1SKwkgaaWSS8/5trRRKx9/d/PY2/94rEVixpiH+jZZA41yruUeh1NHkrXNYC2Xt2Jw2Uiw2w7wJDFufNUNXMT4S5pzcKy6kADsXKqk9dSMa4bSWwL61rV/6bClmieVGkxnFqYn4lR8I9EC5lsObls/ddGKmcHIxz7n00iH7FnOGhWFUWY6vV2xWNafGFYfXJtx0fJOy9mRavqFBSIndMyzYu5Czd1gI/EeIWXStkb0LBZfOzcM6CZqf3Kw4ulkxLpu0LdeapYGhbjJGU8t8UnoMbl84NDxs/0ISSKfGkknVHR0FgLi1tFgjITZS+laIWOtYayynxvI955lOylthNAvh2u5v+Fi7gqJDl+3JefLDLthxu++kskZrws4wcfkbM558cPdsYehxXxszofyODL3LzFOarVEUipQ9Ba1fOjL0jcMZDz+wuMXyiYLHIwKpqh2N96m6Owbt58noVvDFuSgllkBhVMqfHwwzClMEn7Wsz/Tpa0DORPZo8YBIKQUoDz8wrqU8XPDkR1w4s25SNZwc1RzbKFkd1zPYXyuDgktXhmJFaEVZi3KxXtaMJhJM/uapEdPa4hwoDQtFxt6FnD3DgmGRsdTLWOi1gez4zewJguZh83NsxHI4sVGxWVWUjZUK8iAgSqPYnDbcsVHz1SMbKQahlUrniVaBdYJgPK4s69N6i1srxjsGIfNKgvXiTotK0sa05sSowjuPNop+JnUnJqb0fhvjY+0Kig4d2Wz48u2rWxi6cySNXeuuq0VcN7HKGGYDx0qJWynCPBgtVcvQWibxONv5OH0nltAy9eDd7/iQ4/Gi+0crxUbpWZ/UWyp081wz7FgNkYlHITR7bR03FG3GVPz8t/Nht2NlvRQb2i370Zl7GxD2nfO0209NrUB4PADogXItq1PLxrSmn7dB3kGRcUmRccnewcxY7z3T2rE2qTg5qtiY1JS1w3lx2SwPcxa9fB+9TFyQzgu8vGQpTSkbz6isQ7GdoV9oVgY5i/08afrDkLXULzS9TFJgL1oZcNHKYMtcNsuG9UktwfUGTmyWocA1o6cVR8sGa12yCnq5RiFB72HPsL/ozcQmomAYlQ2TymI7H0WMoewbFhSZpA/HeEy0xg+v10wrh8MHRANDbhSDUJW+0MvOazB9V1B06OTEok6NU3WyRqF0myUiWrFoF42PDDpq8uI2ioV0M75+WsbpvE9a+ZkoCpcUBwhM3GiV8Ifi+nnqZWomP50wpyYInbOlmWyYdL2zmV7xd/tt+M7eMeVX/GppnxAiUcT033Zd2hyWaysxiwcCPVCupbKetUnNqdHWKutcS+1PtxZiUBgGxYBDK7NCpAsiuDaRuouyEYyw2okwyY1moac5tNKnZ8Rt6vCsjmsOr04pG8u0seRKBzeVZhgtj5D91MtMqrXo54YLix4XLvUAsY6e+LD9jGvL5rRhXDUYoGoUjXWoMM/cKMZVw8mRZFB5xH0Vz9EPGVICV9My9SicJrVldVJTzrm1cqNZHuQieFBtqnFtWRtX3LUmQgUlcZR+ZljoGRZ7+d3Cx7o3tCsoOrS3r7l4ZYCNwWnvxAyOdQqR6cdUxMT0PCgVKqNbkLjI5LVWaIL7Rp+dkDhXtEWzZ6smPz+2y//nazLi/wRyIa6XQsUmfOiSceWDhUTrBusE+7cIis7vm07VuNtXZwo/uihKpwt/3I3QyI40n14cH32b7qy2LKf9uvsquH29YXB0s5PerGaUDdV5r1TnPO2y6pz//L1HJyaWW48L6GS/47tf7OcpbjetLKvbCJJMt3GHQW5Y6ucs9fMtQqRsLOPSSgFd1VA1jvVJzdrmlGltE2jk0iBnIVR5N851YD9qysZinU9Wh+ChGSloDThVd240XLwxZZAb9gxzDi730r1trGMUigantRWo/EyzN1jjOsQUy0ZiG3euTRJTF+GkGeYZSwOBOdkzyLe4luazvuL9UkqUvaV+nlxacl8cG9OaO09NGNcNZeNSarC/B8iwZ0O7gqJDU+uZ1C4BrvVNm7WwtXZhlrq56nH7TMe1jibdQn10sqlcSD8N8YMZyyRUdEdG7nwLRJfcON6n9FXv4fBmw+LxUcqmImj0yaUTMq26MRYfGbqPDH02cO6Dmi9WQHtBUdA4WsbcZZzp+pXuMM8OiF3Y3k0pbZkurE8tp0bVzimnauti3L+LApuY9hyD1ylQ3zm36jzzcPsSX+4ItRnBCp1st/Y5JgXDw7gWl2BHzLU6iFetO667r5qRkWHbrASc7+6HYnZ5zgrcaZyaW7HTe742FYY2zKUYw3nPJFgGDnHFWOfFkghFp9GHn4cbHRn/vL/fhAB2zB6ahzJ3TmBuRqUIkLpxrJcNxzdLRpVNz33PMGepNyQ3MKmljmPaWMZ1jR1JnY5WcHi9Zt/RTbRus/GiEFFKpbTa5b6AIGahWnyzlOutrEtB9z3DgsVeRmE0lRVQzY1pzV1rU6YBc82HDKteplkeZOwZFCz0sm2zvkAE5rSajXlorVgcZCwPxRIpjHxbN584N+6pXUHRIes847o5p9ravBuny6QUbVZU2q5i3r1wDa2UsJYIkEYoEOu4tuJ6j0d5hVIe7+S8UslNOlZmNCoP1eUajBYgQGM0Ron2VxiNDqZ0YrLEOEsLwR3dYDEmMu8icyHA7yE1PxJ49Ihz1TZAqgKeVt04RscyLp7TNk9HW+IoHUto/jcEAResHZitJ4jzpbOPC4L2nhgr4wBFEecpR56ff/tbIc9M04l7dX4rpVBRiCnZMY7tcP8gEMUaVuH1STE0pZJgcqnCJU6G2eVA00biB4219DLNaKpw4Z2KKAJawWjaMJo2ZKEmRu6fJEFErT66VIeFCJLCaOoQPF5f3ypIYgZSP9ccXO4nEEFokWjHVcPquGazbFibWmorlSWZ1iwPDEuBmY9ry4k7Fetlg3e0XgQdhU3GwGTyjWq5r0XATouKRKz+7ueChDCqRLGJcQqtFIeWJSV4GNzB0wDWuTqpufXEmGlt03UaLfdiz0AywZb7OSvDnBW2CpIoNCcdIXQuaFdQdOjh+3o8+dEH7/H+81lRMb21DFAgVUCPjSmlzrVZT6lArdke4TNqOkYhfzMxRbVRsk5F4EFhypOjOY++aKWtbwjMO3EHr7DOUgULomqkj0TdATucNNI8SODOY58JScEV7fnuvZQxzpNpTaZJFe86LEuBneBaDbKclb4IqcmRjMsP3P9hLwBuKA/zuEecPcTzDAIsnWI4mLEgowuvO8Y6H6xG8N6lsTZlvblgjcZn6fE+1tJAEo5pLq2QVXhOjUus9eE9dhgtSoxWsBiqmYe54DZlWiUFoaotI9vgx6LkZEolqPKuW6rLjAdFPJZk0U2DD3+7imutpFju0HJ/BniwDBbM8VHF6rgSiHgPziv2L/ZYCii40RUU4ybHqwkEIWJS/xbDcj+T4HtZc0qppDjlpk1OybRK+Fdr44qjTZuka5RiuZ9z8cpgJjBeW+nbcWpcc/PxEaPSznxrMRvsgoUeK4MsACYKK7/rHCm4u4KiQ8fHDf941/osNLhzQdM4M1MUxFiNCj57pTxaSVZRZlrNOtOiEdERCKLVOmrnaax89JVzWOdoLJRNnWoS2uK+nWGjbz1cstY/umV9tGJMsCayLjxJgBU3SpFlioXcsDzIKYKQknRXI5ppdJgotW0Phi6SbhfGfB66I96DuI8Ngb8N24jQtY5bVmvMXetn9QwjrAaw9W+wvmKsJVkFHSYbx/nOfnHOpH3jcWfPFfc7HX3zrinH8q3P5VyQuM067tBgZnTdenH9vFsuJSyE/7UxGp+OsX+xj/JOqsKDABIPo6IM2EvHXSXNq5xPTHSxl7HYM6wMcpYHOblReK+oAoM8vF7SOIfyil4usT8VMqJ6maSRdjvk9bIWXbaXiVYftewTo2pL8LifaR5ywULr3tq4lYfuX+DYesmtJ0Yp2UMpxf6lPlcsFiwUGR7PxrTh1LhicxrqLQKyM4il0Qv/hoUIyEIrpiGrsWsFAlSNuJKObEyTpaKVSvUWl+wZ8ND9sw2GvPesTxpOjktuPj5ifdpC2xit6O/GKM49rU4svdByM1PywmdaTGrlwHrx4VvrabxAXljrUiptV/uKv6LTyLmurx6sC13ROm4Co+MHK0EyY8K2FEwXKPEiVyiVJxNf0QqyaKUPC+l7EC0VwhwcreCzjaQGQoeJ0HF5hQUdtoSkr049Rdy3ddY3VjLComvJOS8Iur4tCoyu90jx+CpaSzoIsJAIMLWeUdVwJppxGUZXXme9ptPoR7UMNEFBdLSxhI1EChOwJXMrPmkfnUHtRJKLivZivfeM+oaDS/0t7q+ui8vFXaJryncOcr4oCVKVXFd3rk4YlyLQtRYhMCwyEQTB3+68Ry8Gt1TwgdWNY1o7VscTxtWGaPaK0MciZ99Czr6FnuBGKYXyYhmtT0Ic4sQYrYMLKGRB5abNPipCfQKEort+PgNRHq38SS3M/ujIsX9SU+Sai/YMUAjGVK4V0ya4h06OKWv5uHq5ZnGQ8eALhiz3JUZQW8+JUcmpUc3qpOTkuKJct1S1RSkdYjSCQL3cF7TbnpFgtaiWoSEWpDayZWMlVppJ8H2pn7MYOgGuDBd56DaG6Re/eNs5efznVFBcd911fPjDH6ZpGl72spdxzTXXzGz/4Ac/yB//8R+zvLwMwAtf+MKZMf/23/5bjDG85jWvOZfTTPT3Ryv+ZvMuupknXeaiaesUjNYoLcw9Vm6bgEHT1c7mg6kz8Buo5PdUSmG9ME2tHZkSqSHLbbWyVqHSM1Z4E9N4O+04NawODA/aM5QeAGquVWcoIIqafhOrqr2jabpd9RxVyBo5G4pWSp6p0Ec7D2a6Ch34ZO7eOapoKVlH3UhKZOyRXTWOsnKMw9xOjS3D81bN3AryKHSSEGplUgqMz4ztBpjDurWp4+RIWqG2+89r/e3vKKRaGPl2+5ntF7bss5PA6a49nfEctzUOHrx3wP7FPnsXcnKtmNRS83B4o+SutSnjuqFuxMrIQ23AUnCVLGhBltVKUlTjPSpry9q45tjalHHwucc4yt5hzoHlPhet9InNs6LbtgpZRxF11qDoFzoVsCWoGKNnCt0GhWGlr3nwvmFKae3ChljvxTropJqXtaWylttPjVMiiFIRKsTwkAsWE4RHL8RBTo5LTm1KzOT4ZpmC/VohrtfgcVjpZyz0c5b6GfvzXqjRkvu+Nq64c3XCpLIpbbifa/YOC/Yv9u5xQ6yzoXN25CNHjvD+97+fj3/84xRFwYtf/GKuvvpqLr/88jTmhhtu4H3vex9PfOITZ/bd2Njg3e9+N5/85Cf58R//8XM1xS30vQ8d8sjHPlIejg+BX2Kwr+sbbrVzIDURilaDw6UsJWjbZ8YU0qhtdv3KEZxthhH4TlaSb6umK+dwtayvbNtFrwmBYGs9tx0rOZ4dS0w+zj+S6giNGNvIO8V2sRgQwClSumusA6isVJ9XwfRuQm1J1IpmNOWojXpPbDFjonDTEoyVlq1BqIQU4zwTe2tsPZvlmS2K+wMdLy352ukBDrsGy+mSKk7njd5pvxnh1qFk5XUCEq0l1QbeCdrvkU3L5248gbWOBlFWFnqGC5d77Bv2uPzAYqiYzlBKMZ7WHB/VHFmfcmx9KhhKtZsRIotBiCwPcrJhgTYiKZVWeO/YmDbccWrMjcesWHZa4Z0ny0RL3x8ACbVSTOv4fkpSxKZtAqSMWH/9QrPUy8gyzW1rNdnNJ8lCB8derlOW1rAw7FsoZvpXREEicRKxTOrGMqkcq2PJcJI4kKcwJmRfSYbShcu95CYDsR7WpzUb04Zx2bA2bTi+WeNb5y7Oe7JgiSwPCvau5Ax6GZkSGPZxbfnqkQ1B5b2/uZ6uv/56nvrUp7Jnzx4AnvWsZ/HpT3+aV7/61WnMDTfcwK//+q9zxx13cNVVV/GGN7yBXq/HZz/7WR7ykIfw8pe//FxNb1v6+2MVX/vynUHzl3WxB0HXZ9u6KtrfLoUXW9wmySJpmSXJLy+vgUvCIfr4SZkXEWAQ1Vo18fzomOkSM5WixRLjI2Dw0lVMRbeG6lSat61Qa+so61gBTmL0LZ9RAZcHQKNDE6derlk0RnLSg182N6Fznu5o18SgdYstlbr96TZWErdJDUYEUZR78xVziisefeg+f97dOMqZlmeqyGM8ouNZSgCQtEx1S5wDGJbHefilKzPrvx1o3qpJ2F50LKPW0Ga5Os7DH7Efg6Jxjo2y5uh6xfGNkttOjIOCIrUEEQpjsZ+zZ5jziANLwjwHOc7BuKo5Oa44tlFyYrNiXNYhgyfiI5kAqZFxwVKANVc6fXF1qCu4+dgoFMJ6eiH+ZrQUsw1yw4GlPr1MUVnPxqRmraypR57VqSDVNtahtWYYKr97waU0rcS93Mt1ipPEVq8rg9m6CwjxxQA+uDaWDoB3rE1D0ogodjEOsdjP6GfiVjqw1Bc4c60oG6nfmNaSsTWaikA5uj7lcEiPrxsRWLkWV9i+hRx3fwtmHz16lAsvbLFgDhw4wJe//OW0PBqNuOKKK7j22mu57LLLeOMb38iHPvQhXve61/GDP/iDAHzgAx84V9Pblh53oMcjHnMx1sZOdd2AcchKsm12UCy/r20oLIvYTT70hg6uKoUwxWhCxh/xZ1TdJJsk+tN9gvaQj9inwK8EvFuQwMYK97JBJfReAn/9woTYgkJp8RGb0AY1zikybcFsEtgAo1sXW6TUhSMwC+clzhFrQZxr18X6i6gNNdYzqWqxRMKHUtbST6BsJC2wbEQ7E1jyNrDtvOfEqQ3+8tiN5+CJt8I/uQUhuZF0ihm1zFKrdr823tG6ElvmSrr3MdtMKcXhkyWbxWqIy5zeYvh2prtOVkzuWJV8/iJnaZDx4H0DevkivVzcOs56jo0rTmyUnBhVHN0smVYWjw+VxYLdZLSmnxkuWCy4eGUgfv+ewbuAHzWuODWSKvBRWTGt5f3Kc8NiT9w9EhvJKTJ5h2OXydpJqurRJhTQet8WsGkEQ6rQ7F8sGBaGqpGK8yMbJdPaBgwzFRovabTKMEpxalRx3PkAASK1VwIbIrHB5UHGQi/n0n1DLpsLSIs7VQSjdP+rJXhP+80ZrenlYuEs9DIu278QAvU+1YS48P21Vo1HnyPF45wJighbHcl7P7O8sLDARz7ykbT8ile8gje96U287nWvu9fnvuGGG+7Rfv94ouQvP/2/AJ80qRjA6/qDzUwGgzBZqTkQ5hLxnIRRyj6RiUaN3fpODwliVXPwWaou05p3RUAeAr65ihXgmlxDpjw6FN487kCBGx8O541z8DS06ZGgUoGYjcIQWkbtgsD0EkuoGqi9p7YhzdHRSQeW80TryaE67ox4NkIsJ2ReGbFWspANk4flmMor7i/PBXtzvNs562k+1ruTv31m/dyAbqZT1w3jIWVKuTB+ZrvvZHR1DtnNomqtSllev/mbp5/TloVtrnebMWlxJnbSbui6nXxYVtEq6rxnMxlPc8ds91ds3nQ7ygvAnUJhlFjKMehvtGKQw3IhAdmDuWJxKAdanThOrDtur0SRKBtH6aCfeXpaMSyEUWokvXS5r1jMNYcKjcnlXZ42ntEqHK4cm5VlVHnqkKiRGxhmknY7zML7pUArzxGrKC1479J3eNf//DuJM2SafhaUNRWgcLQi055TTrFZOUaVY9J4UOKuLQws5IphbuhJMqMoRQ7KJrjwlCI30NOKpZ5mMZcU3kwrFgjuLOuZ1J5JE7DdrJ/5pqyHOnybRkFhBMZ9sVAURmG9YrlQfPGLX9z55bmHdM4ExaFDh/jCF76Qlo8dO8aBAwfS8p133sn111/PC17wAkAuPsvum+k87nGPo9fr3e39vnbieh760IcLY+3EDlTwBXbTJK1zeK8kXTXEBuJ2ayVLI35bPggIE1xIUeM0RqG9qK3RRWTjyxsLwHyouA69tpNgQTRu5cWKaRqfYgiNddx55Ch7912Qso+slQpPGxi9cLm2AA7VQnC4cDJJ7TVoFVNjFUaF3uG5vPSyzoTt0HIpBc5hvaLxFmdba8OGeEfj5Jor7ymhlVSE4wRNfmP9FHv27J15Vmruxxa9XHX/bmV88/tvXbe1Dvx0yr/SCjN32u2gWk6eOM4FF+wPx5vdfrprmj/UdvNPNGeheuHbM8txWPfv/I/o2okLcgw5+IljJ1hcWaHxDoX0elcm9K3WgozazzOMikJIs+EtRytLY6HfM6wsay7t5+wd5qwMexQKNkrL8VHJ+qQW2A7rGVvH2Ct6TpM3krY96GX0Fg37c8PlwY01zE14aqLpr0/E939yVLM+rdho5PsYDDR7exm9Qgrv7rjtZh79yEfQWM9GaSkbKzUcyLdsjLh4FzPDwRCryI1mGJogZUZiIidHFeuThmljcdZRKMXe0NBpz1AsHuflO9wsLWXtmCS4DugZzSXDQu7HIGdQZKmmYmMqFeBe5JNkeylFbT1roS+G9uBXb+EpT3nKNi/F6aksy9Mq2OdMUDztaU/jAx/4ACdPnmQwGPCZz3yGd7zjHWl7v9/nPe95D1dffTWXXnopH/3oR3nmM595rqZzVvSXt44Zf/O28PF5CDURkhIpL0tMEZUCN8l8yoJbIbkqdKd3MgBx3+B+guDOcjincM6KJuRiSqkw9qajScxAQiACwiuStmLiPyNaTuPE0hn2ND0tmUgRGC0hfqpY7wEmHNo7leIplRX/b+2QdGDrZmIqEqPRqagvxmxyHXqEK8K5pGo1/suNFFMVWqGNTv5+a+VcZeNSZXZZO75xY8lDH3bxt/p1OCd0800jHvqwA2ce+G1Ot/ZHXHnFZWitmJQ1d6xNOLZZc2KzZDRtON5IamhmDJmGXi4B3CLT4t8vNEYZyspxeznhpmNjGmuxyLvYyzP2DXusDDN6WjNqBLBv2lgmtWO9LNHet8JLqYR3NCwiPpK4gC7eM6CXSxzMeYk5rE1FEJ3crLl1tWF82yq1ld7di70c6zxLfUn1jQklJ8c1UEv6rVasTyQOIt+PBNcX+xl7TM4wz1gspI3ytHGsjituPTmhbpy4qoB+YaTqui8B/J7RVM5zfKPkpuOjLeCRi72MPcOclb5kE04ax7RpWAguvFxrjq6dG1fmORMUBw8e5HWvex0vfelLqeuaF7zgBVx55ZW88pWv5LWvfS2Pf/zjefvb386rXvUq6rrmSU960rc8eD1Pz3/sMo989GMl8BuK32zIua4CzkrZxNRRz7RumNSOacCbqZynCSanbSyVk3XWtVqc6vQplkCuJ8szFo0SOONMYgWDXNMPXbmMDrUMIaIdBYr0s3DUjWh+VeOS5fNNt86BvYOQfeWSG6msHSe8ZFU4LxkgYjV1u+SFWgYlzYOMgYExqCJLsB7atB3pgFSb4WJswcLEOTYq2/a48ARfRxDAIfYSA6lGebxSaE+qzdBac3SzoX9qvCVts+ty8rNrt2jJfpt95GdnTx+TAmJgN2SeqNiwaTawG7ej2thFilUwP1ae++q04cTmdGZ+M8V/YU5tsLs7but1ODeL+xWt4FjMmKxRorHmZ4/l2zs2uxzf2e3XHzlacoTD1I1Y171cs9jPeNDeIXuGEgPQCtZHDacmNeuTKmEj3bU6xXovmE5G0ys0eZbRzxWLRcYglzhaZR13rpbgPVmm0oX3c8NyJu7eOritKitW6+ZUzrExrkGpkJ0nLt1BYMzLg4JhLjDlh5YH9EY9rrjiIB6Y1lZgR8qG46OKzWlDVTssgs+01M/AQ9Yzgm9V2tY6BgEBLDKcg7JpqG2b5DDMM/KBSpAfuVEpDfe2kxNGZUPZWJQKxYW59M1YKDKWhxIbKRvH7asT1id1+24g3+RS/9ylxyp/rsBBzgNF8+meup5+5rc/yyRfwTqJSiilA1aRxyjRDloMI9HYc6MpsoCHpCRYbFQMdEqWkEWylJqQR+uClaBoQeRa15YKWU8SOLfRnRXS7cSy0BgtVd+5ljzsXLeV1lorDt9xBw97yGWpS5xWEQZEhVRUCZgrJZaFDVXojYO6skxDsDzCeTTWpopxS+iN4cBaycpoANdIIaJYByFNOPk7gjstWE619TgvQtcGiJDGz6YDRyuqKWuyXsC52eZtTT737TcnAzG6shKD32H8dsJl3vVzuv22rOtMsK5q8mIOs6cTHzidm2yrK0ptO0B1xqiZ8UEIzpxUllKQXs0eTnWHEixkDePRiKWlRQot1mIvV1LYFjCUnCO4GJsA0aIpMsOw0CwUBhfeofXQv6FsLHUIlMWEi36hQ3Ba0zNSSJeSLMJDiZ3wBGcMvJN00dVxTWMdsRhFhQQOqQKXxA4pmlUcPXoXD7n0UvYtCIptkWsGWcagF+A/ghCeNIJbNS4tx8cVm9Na4MaD8FrqZ/QzQ5GJv80G0SyCWrE8EAtlUEgqw1QCDjTh28hCMyOtNEWuICSIlFbwwSaVJJfngd9EgbIc0HONhqM3f5UnP/nJW17DM9GZeOduZXaH9g8MfnkoAWfnqSxYOumkXphj42KOszxoizxo+bBCtg/MuJ5itpPDJRA9gvaqlbAulTRu+TKNBpwECEPiqLA475k6j/V1213Pxmwocd+srU75+/U7cFHY0Fo1CaHWzc41MQTfYYwdJuedjHXhnF7Jh+m9wvv4WUTNO1wKXtJ5aa0VpUIDJ0WowIZeX5B6xawP9RSZQSvP2qlT7Nt7QXLbpWMnrX4WdTXWqygv544fenhis5elombd4fJKpSBv10LpCqIUX9hi0cTjdyEv2ht86sRJ9u7fl4D8VOd+QbtOhYVu9XvKsKKtgYnHTuw/ScBu0F3mEO+Zp7VUumm/MItS3L0ts8F+z4njFQvLgwAv4xjXDevTJmS/+VCJrRkUkga6p58JRlNjqWtPaS2TRmrQM6NZNgbnJQFGXJyeMtQlNFYsXimWCy1Ji4wsU4xKERJdDKzcKJYGGYu5pOQWmbhiR2XMnGrYqKQwr58pqRGqLd882YAao1ApczFBoYcsptwohn3DY1aW6OWZKIBOKs0nVcNm6PK3WdY0jccHuPFBbqit9JfwiHIXJ9zLDXsGOYNcpxbFsajOWqidC135DB5ScV4RhJjEYSqsdSzc3+oo7o+0Wlmq9bJ1wxA/TC3xBC9ZEz7AdSsku8fgyLRo5hodGFAMgkthmXLBdaRCYqSP9RZRAPgE8e2CEi6gbhA5SUq5DJlBRolftFAeVejk0vJ4jjcbXLBvmLKZpAdEFHQi9FwQLOLnlfC7szI96+UavAsfoBI3UR7QZWPrUxOC3JJeG7Zlot1Ifw4d6jxarCulZJtWCm3AIFXbmYGeMQnFNrrAvnHjlEdcfsn5ezHuAXXB/CBajnDjTWMe/tBDCaajW3DpQ0JEzDyLGS8xDbJNR56DmqfjRurEsma2dxIx7i51hVD8Jgb1GpdeuhfloLKOcW0ZTWs2K0sVWo7qcP7GO06MKw6vl1RWrFQUorUXErPYs9BjaDKyXKEsTBqHMZYlleO9AOVZJynVJ8Y15Wop7iYPmTYMepqFXNqimn7GaNqwMbXUpyatZY6XnhCLGY9YWGTvQg/nPV+eHGNluc+4lKZF1kv9BoiFfHIsXQnl3gcFJ6TWrgwzVgY9ekanFNlHHOgxKEzyGExry6QSQbo6rhhXVtzRypNryE3GqVGVEkaiUiWFiBkrgyx4LOQctZO6DumR4ZK7M8/OXR/uXUHRoZ4yZEUm0ByqrV+QwrBcILnxya0EIgxSzMBH7CdaQaCkLsASax6EWTsfkFmdWAIC+OfCSx0/7KgVyhduY56lUgnqekZTp+14t7lhGZspWgWgQt22QxXUWU2WQ2YKYdIqMHwjwW8TzNvCaIpctwVMyqC1D+43YeYSvBYE2Ey37i+IjKXjWJlxbQSMm5AVFrPIoisuUm4kbhP37/6dPe7sedqF2Z9bXDlKzSx33TTdDWp2sY1BbDnHVjyoOGR8LOMhFy6e/lhz1xVpu4LArmWQMtg6AipaANuvby2OJFS6v8ORbSyADMzWefAbGfuGOaPSCpyMlkycPUNS2rN1IXBc1oxKS9MIY8+zPrlW5FrswUnTcHvAUhqHfgu9TOA3FoqM5YFh2MsxSlxBDkk7JSATRBiYuvHcemIsqbbB158bSZpYXuixt59hM8vaCI6tr9M0ci2Hj9dclG+y2DPsW+hx4VJBv8jAwUZl2ZzWbJYWjQ8wNJqqsWxWDXeeKrnp2FjaJIekltwolnqSzbV3MSc3hto5epnmsv0LLBYZmVFYF8ELpS3r2kQYP8mL4SiyjCKXWpEs+P2KHPpZlirHIwJzbhTjU1vfu/uCdgVFh3LtcQrK0lLawNS9+O9LK4Hq2nnqoDE5oltIKHlDIHS0M2JlaMGB6kJ+x/4PmZGgVaYlPa4XgMN6EVZDGTA+AeUZnUrfQqpqG3voBpfvuO1WHvHwy+jl8gIVmaZvMvJMzOksYDBlISjdFge2AiVaJ1q1TpcWENF3eklI/wj5K/dH+v+Ka8oFa8k2LmmUlXNUtQTYRev0rUvLE/1WeAd3HSs5ZY63TDIyO7oMr3U9RKYIs5r0PDOEjkuFzvq5fdjGmk/n6fyd2bgDHTsx4n+euHlmyGxAfe5QneWucJkFMGT2t5pb13VfMT94VrCpzrZuPcW8UD16vOLSbJMLFns8aO+AS/cOWB4UqcfCic2Sk5sVo8wy6BnqWgpUTUAVmFrH5qRmVDcBVgOWBhkXLvdYyA1ZpjBeMaota5Oaw+sVk1rSZY2CYZEzyKWn9HI/Y6mfiVZttLyXjaO2DaPa0zQN3jruWJ2GALPcda2hl2U0pWVfbWkaOLG5yT/eFVx1WgluWZGx1JP4Qr+XBUXRsN8XjBuH8gQ3kHynjbWcCN3uvnJ4A+ecxFEUFLlmuSfpvCsD6YPtnFgDF+/NQy2GKHZlbRlNLWtlzfpEXHCO0LPFwiAP1d09gUkZFJr7Hr9AaFdQdOiWtYbR5qZo0ZlO2C9ZkZMpyHNFoWPgTMxAG9xR2iu8EqatVISjiO4p8ZfL66fxTrQwbxVOeZT3KKPAS/BbBSDvCP4XM59a33T4iFVIKU3ZTi1UxPGJpTgxwkeN0MUguk9QHt7HjnZzmqYPgWXv8daF44rF44MV44JrSq4oVJAHJmK0TwzWE9KAFejghtMBp0drj0G31oAKx/Q6pTyiPKsTRzaqgE7sIPyIrhCZfOf3nBXjfXQl+mTVROzdBFitO6HeHZjyvaXJhmZluH0ns/sTaS99s286tsnf3b5KVTuyXKyAYejnfOFyj0ceWODC5R4r/R7WuVBpLYJks2xCvYSdwRGb1Jbp2LJRWbxz9MIxL1jMWeoX9DJ5ZqPKsVk10j2ucTSNuGQKI66oQmsGuWZ5oZ8s7cY5po2jqgM6gPOs1Y7bT01SXxevFASI815mmJaW4xtTnFPSpjTEvgqj2DfMuWCxzyA34prWkuW31C+4eGVIL9d4pGeMUtK46sSo4vDqhG8ctdRWlM48g8Vezp5BzkIvo8ikPgMkeebgco9+YehlhlwpSusYlZa1ScWJ0CRJoTi4eA/9i2egXUHRoUGuccZIrZj3ocmQR2OFWdcarW3AMxLfOgTtO3AbQXKVF4OgwaUqY6PJtCMPFZl5r+3ha3R0HYl4EbcMnVhIWEAnd433HowWfJvA9J2XtNksMcOQrhkgPLIYkNYKgs/Vo0LRXmxuoyhActp7bctSpRzK6xSIT/DIeJyLAWUVJ5002C6UuqJNo228x9sogDzea7nSaE3gQ7Dc42IGC0G7Pc33oMLeMRUZZC4dQyWltwKojpUm7sR4nHCkGAyeWz/v3tpGRs1q5gp62tPLW4F0f6VBDhfv6YsipRVVYymtlxTPOmA/3V7y+ZtP0lgf4LI1S33DBYs9DiwPuGTPkCsuyljq5RiNVCZXDevjmo2yEaa6WbE6qZhU0rP6zlNjxgFhWCuVGhMdXCrYMywYFJm4dGopaNssK+5Ym+ICwgDeh5oi0fAvGGaoseHQvgVq65jWjfSYsI7NqWfN1Rij6RtpEjbINL3C0M801jmObVbccWqKV3J9KIExR3n6maTjDgtZr5EYxkI/5wmX7mHQk5TXhV4GOE6Oa+48OeHIRslmWVM7ee8zY1jINSvDgoW+1CVF5U4pWOwZFvs5i0WOmqyek+e9Kyg69PhDPZb2H6TxKVkmBBlnXRNakfzzyovWn4rGXEg1Da6U2OKzsoLJNC6tBKM6HeMaF9JhY4OkOb8z4dxd35YXZTu4DaTQTtMKpdVTNat6Q6qFw0vqdFLSE4kgE3UnJdHEUymomugvVUFrCZkxHrGGUEHB8qB0i20V3Rzhr1EI4w4ZT0mAZprcC1g62qEopOAwCIfGi4tAR0hf5tw+sz6cGXJNm+UUd2rdRS4sz/nk58Z16xHap9L14c//nnOBxe3h4OvrFUft2ox/bLs8le0Cz9vLxvtIg+wcxnffMy/FYX4mWALrGyVH62Ope12WGRYLw9Kw4KI9fVYGOZkOmEuh/0TVWE6OSu44NeEbRzepbWuxDQvBerpgoWD/Ys5Cr8eB5T6Pu3SFPNRUCFqruDY3y4aTmxXHNks2K8vapOTI4Q2mTcy9k2DwQpGxp69ZGvRYLAqJFQYct3FpGVUN65VDr09TJp9RoXlQQJH1SGbjpLKcnNRM10tBrdWKpUFOoRVFLqnyUXCJkGo4vD4RrCiTgXepFkp0vDbjMdMCAbJ3oeCh+xe4YKFgeZizkBs8niPrct+ObpZslhOaUJ8Rhd5iaVnoNezJdi2Kc07rE8va6ojaEhh7gM8OTL7Fa3JYFDgfrI+2YnuGoTtwwfePI/XhzYzkRnnlQzW1xodsORd09DrkXjunUrAxURsyAAhBdOkiFue4Vnqa9QnOt6mDCo9TUtAmgiFCn7c4XF2XiwidoG3rVjBFlT7GZ6Rpksc7yR2PGTsQEXG7wdSuZSBZY+BDX3DXsUoikKJiMqo55UZpbm1vs66rKfrnY0JyC5USx8m0xT9lUtxlTv0PGWqp9B2ZuKQQq5jTlvb0nV9bhbC4IztGFkZ5Ci32olI6HV+hw2V3n/RsUHxmpmoHl9hOhoqa/REXOxm2tLaPzEOHE8W+3EEnQik40ozwSnFys6JyovTYAFMj7Uwz+j3J2tkzMOwZFly41OcxF+9hqW8oG+mJ7bwEpDen0qznHw9vMCqbpJAZpVge5hxYkv33DguGRc7BlT4PvmAo346XVr7R6tiYWNanZYDwbjg1KvnmyTGjciQWt4dcq9DDWrFUeA4u90O/ClF86kaA91DQWAHyUx5xa2UmvW+N9Ywbx+qkYtpA48SVtFDkrAwMe4c5RZ5JIoyDUd0wrZoQ1BdvQt9Ar5DOfMc2pxxdnzKWQIp8L4hS2ssNe/s5j7toiUMrQxb7BusVa6OSu9ZLRtMap89Teqxzjt/4jd/g61//Om95y1v46Ec/yo//+I9jzLlLxTpf9KXDUzYPn5DMoKChJwaj2v4MPmjEMZtJvu0Y+O3sA23+e9iPWH8QVE5BHBVmo41HOxLImlY+QCAYtE48LmU8ee/RWlDItDYJaA/vOW5HHLhwUT44r1HK4zQQsrIipHgTtHdoBUoqknMqwIT4pPmpcE9SADy53aRnQAzyS0/uCBceMnJC3m/sveG87zBWsVhwFoeSvhWhOC+q3FHLtor2ZiShPFe30GHh3bqIqNlLvvLWdyCy7vjM0+FUq/2m7aejjstJE5mswnuTOt+peEEqCst4jiiCW9NuRqx1rF2lupOUd/L0NKtx2u4Wv9Oo9nbH664axcFBwcHlPnkmGGC5gUnlWJtWrI0bxtOa1XHNbSelWBMHOoOe1iwNstCvIufB+xY4sNzn8gMLaKUTk7Ze+muvTmpOjEr+5purjKYSzzAa+rnAdO8bFOxb7HFgqWDvoODg8oB+tkTtCWjFls2pZVw1At1dCaLC5rRiY1pz8pTirrWJZGaFgPugyBgYhQ9u5H5uGA5NstgrJ88zFp9OG8uidUAuyqVzrI4bDq9P8SGz0aNC9XnO3oWclUHBYj/De8X6RPCaxpXFaMnUGhaGlWGPQZEFHCvYLBtuPDbiK3dtdDwS8nD2DHIozvT87xmdUVD88i//MidPnuTv/u7vAPiLv/gLjh07xpvf/OZzM6PzSBcvZVS9BXBianoXWhN1GHuCQQjuHNH2W82Q4GZoGxOJHHChwsojKyLDRUnBj/jQRWWL7isPNL6itjIXfCy7C5OihZCIf3VI2x2PakbHx8GSkOZDEisI+E46aIf4JPii9h+h0q0NAgWPtRHWWJhIRKB1qWI8MLPASWItSOTp0i40ztgHHq/asZ1raIWsML5x5RnPdLjzW38ll8+sRi5j/AzjTltVO6b7S3fXx+cc+HG4vel4HYMm3cft5hmPN5k0jFS51dWThkQ/lUpDZq4xrt/ON/UtpLJsWHfrFCGLbpBJplIRwAAv3pOHPuwK21i80sKopw2T2krx26TGHnV87hsn5DvRKmTy5OxfLHjY/gUefMGQh1+4wCMOLpEZHYrbLNOyYbOyrI9r1qY1Xzu8wf9zW01lXXDjZCz0DQtFzrDI2L9YcHClx8P2L7DUz7EOJnXD6qTmi2xy8NKDgMQ2xqXUhEwaiYVsTqXS+5gtMUoyoYxWAWFACmP7WXBDha5z0QK1zrIxFWHVeM+0EoF1y/Gaf7hzA4t8h3LfNPsWClZ6GRcu9SgKzaSUroEb04ba2pSNOOxJQ6V9wx6DnkRLM60xfvOcPO8zCorPfe5z/Mmf/Ak//MM/zOLiIr/xG7/B8573vHMymfNN/3CsZM2eBKIl0NUefeTsAqAXtdmwPgLp+Q6r0F2GFrTojm1PUg0DI/NEt0dkDj7NJf6Nmh1pZt0ceIcKwepJ6VlrxsH91Qou50MRHR0GFIoI4zzDyejajLrDEVuvjUrCICSKkFItnQ+ZTqGSO4x0gmEespqiyFMJadWrCDQYtsRzRSunQ4qOG0pJEkFy03Xuc0Tb7bJWTygq7K6P98WTnkv6SSsk41P23YPRZo7FpzKb2ioMvq5gsxmzhWaExezqGWti5uq3/u6und9nixXUGrM7UnQ1dpF+FFDWnokdg9LBpWrIFAl+IzeSIdjPDQu90OxnkHHRnj65Ec3cese09qkfSRmY9LS23HJixFfuWKX2pCzCQW5Y6Wc86IIhj9i/yCUXDDm03Bd/f+ijUjWO45slm1PHxrSicZ4TmyU3HdugsWAM9DOpGDda4gkbU8vDehkHlnrsHRYoJZ3nVsc141qgRcraMq5qqtoxqRumtWdSS8DdOaisZVJZxljsZosT1zjpc5+HivI9S/3QC0PcSWVj2ZhaxnXDZNJwfKPk1pMjqipWtyuGfSm6u2BYcOFiwfKwADzrE8tXN9YDHI6kDV/0oHrnh3kv6IyCIsuyUG4uVBTFfQYH/u1GWaYwGFIefbAgVHAX4S0olbSFqAYr71sNPTLYoIa2QHsieKTPdRsUjxW7whcloK2CdoUPZiXC1Jrgmoluo9iiVDKi2tTYaB3EIqBYFKeVxEa66LaJn0ZtvMMBJesIXPRRR9dRYq4+WDAdrhwEqDLh3MF098FkD5iAaHRbtRxdeB0rzPtgnTiPbcSfS7CIfPLlzT6/LRZD+l9neZuFGdm95ZhJJm5zrlaQJ34bDZEkhFRruSiYbG4yXFyYZeDbzVF3hGDEWFGzIIEouXdRiPvOuUNBfRrb7hZhZ1R7o+M23x43KhMz54xH8GCwDAd98NKXRHpAt3G96G4zqgWPVAFnLDeG3MAgz+kVmsXCsNjPWFnsMdiXo7QK8PgSc7BOUdsI1ldzw+1r/PWNx8Vt5uVdLjLNvmHBQ/cPeORFKzx4Xx+vB7gmBKg1Aog5KgWyu/FoLZmNxzZr/vrGE+lZ5JlKKMjDImP/UsGh5T7LvQUa55lG3LOgMFSNBK4nlWWjrKkby7iWAH6mPE34QCe1oMgeHwmQYhMSWIwSi2JxIefQ3gG9UEvhgY2qYm0kls8tJzb5yuEN6tphlafQUkex0jfSu3yxhzHnSVA88pGP5KMf/SjWWm666SZ+67d+i0c/+tHnZDLnmx5/YY9msAeNIbJc5xyNdzgv2oprJGjcBBA7aX6iUnWx9VIMExl4ZS34EPBV4GPldceCiBg3qLYiHFp3TNvpTsAJ81w2xlhBqmOAZNmsbdYMF3rEXhguBJkbB946alrMJ+9AmbBvEJLKK7ySgKtSLROeSS9VKmnlSdp1gvmN98EJHvGYhON1YzRBrAGtBQcS74gWhQ8AczFTadbB5CMPDqftcN2Ottzu0TGN5tw3yaqJFk9neKoUD0IzhQIUiUOnng++Y7H5mEHnk0VRjjtutHQa1V0MtR/RekuaxMycZq5VbbU4ZgWlnx1PjG9sk6g7Jxl9Z4CgGBMEiErfRm4UGoMy0lgr00bSy0OcweGhgVpJLYXMrZJ7ozTKh46LRodeFobFnmbYkyK0vtEsL/fwDLCIa1ZpHSqOfCpy+8pd63z+llOSfKLEHTPIFUuDgkPLPR60Z8jFe/v0ixzloXYetZlzwf4FRpOG0tn0zWVK0VjH7SfG3HxsRGU9SjmxBtD0C8ViLxcwwUL6fV8Y2qIaJamwjfVsljWT2qU6ks1SeksAocrbsT6pKZuG1UmF2wTrhc/g5Z6s9A0XLiyRZ1LjZZRiUglMyYlxydeObvIPhzf4rj3dVI/7js4oKH7u536Od73rXZw4cYKXvOQlPP3pT+fnfu7nzslkzjf92Y0T1myZNO2ZlMCgPQf+GIK5BA27ZTpJE45cInzszvsuiwoQFyotxw+9Du6llLuPxBdAmHRKXQwWgAuxgU6+EMpDVXt69YiohXctGoVoWNJDI6S0evCa9PER94yM1rcWhg/LYg1FzKHYI6OzQ7QAwrUIjFQLbQ6tNQQiZOfJo6hqqFWzrYek6xLpsv2Y4nsm6oqPHbw/26482yK8+VGVBWq/zZhZRNvt59Pey65h0f07f975UMaM9XSmuavO+zZHtoY8twwKzZ5BjkIztZaysowry8Q1RKh4k2kKBIU5jw2BvKKqa0lc8KIENFYsh7KG1bFKtUNKRzwwsRwGWcbSULNUFPRzg9IST1vuFVJL4JUILKPSC7YxbTi8WnLjkU2qRtJUs4D87KZjLq1OSmbVYo+FvhRETipxLVXW0SDpsIXJ6eWapZ6gSZe145snxoxqgSfREmyhyKTaum80y4OMQZ6RGQH/K3KJFsZsrwiGWQdLZVpJz43SijtuY9owrurU2mBUCTpzRDW4YLHgkhUjKAz59Cye7N2nMwqKxcVFXvWqV/Gud72Lzc1NbrvtNvbu3XtOJnO+aWUIvs6FCSthghHlc15DixaABGmD60Gp5FdMzDx92CqgmZIqlj2EwHmbPhqV7C7cQh7YKyqau+I+iumYSocMrc4XPdGWQb/AE7TxWIwXeHHlgqCxNahY2Cbn76LJyrTCNczwcZW2qDD35K2I1hItQ2rFYvLKyZhYZe5VuG+K9GdWgd6euXUY9gw/26Jhbz3APA/cVhDttN5vs35Wr0jX2F2XnntUKGgNsW2muA3tIKC2ubbu3yiM4vnVtjdo66m6cj/dai/JHmvjihNjuP3UVFJHc4G7HxSG5YFo2KKgSNvS6VSyjuqQOx0DsyYIgqwXYhcxk0erkMShcYhbq24sY9VwZAMaN5Igrmkzk/pFxkJPs9QvULkJcQBJZx/2DYuDjExJrCxC6pxoJmxOKo6sS32CDhlc/dDoa1ho9i706PV1ggg/MapYmzahz7sjM4phZljsFxza06OfaWmwNK25fXVC1TiMklRb6z0mdMhb7uUM+xnewaBnGORyHUXdgBe02l5uWO4bcq0prefUqGR1XDOqGtbGFevTWvqIc26sCTgLQfE7v/M7fOxjH+O6667j1KlTvOY1r+Ff/st/yY/8yI+cs0mdL4pNfmKQViAdWqZgO799aAEpgiFaE5JNJCmHrTtGsqMk1U51PrgMULmmYBYzykU1Tkl9hFcKb6V6uQkcxjUuZChFxNjABgIzahqYNCWzrhmpH7DEPK1WMoW2FOLmAmLgHiLEhUuY/lq1lePhwommltwb32qjyPkiXKoLkKLpPipJCfaxGluJUItCxhPv32lYqGp/dAy1dlPiiWr73SLpmT/RHtpxjwALObM2tsCdP3ay9pw0t0kC4yypK3S3nfsZ1s/OY9Yq6T7L+fPENzM6RNMzsZasl8s7GWooFOJ2XR1bToxCfZEHjGAqDXLNck8QV40xaK8oXcO0FDDASSPosD7uFxCIMyxFIZk91olSMygysBanW0wy62FtWnFsw2OdwIUrI8coMkMvk5TThcKw0M/IQNzIXqGUoM/6PKIxBFehdaxPLKvTRjKqldRGZUZ6Xq8MJPNooafJlWHSWL561zoTG3vJy/swyA2LvYxDKz2W+hmldYzLhlFVc3JcJby0qhFcqIVCsraW+wUaOFZJoW7dyDF7uWFlWPCoQ8scWumxkMsxN2//2tm8Tnebzigo/uAP/oDf//3fB+BBD3oQn/jEJ3jJS17ygBQUmVHkXuNjDqQPWTrBKa0RHBjvXWD2wd2S0ls9WPBYVNCMoivKWWEhXithhEqlFNKYIdPVoNOnHNIzvQ+pr6p1UcQmRIJuKx+FMHJNOZkyGPSTmwzvW5eYJsQgJDNLMm+DzhkmbEPnNOUl0OydYNZ45amdQnVcTlFDTsLC+7kAaOe6fPs7jom1KOmaw82I0w3I5zuTD9eHn6kLOCP5WcvHz21M13UWx5n/udNuroGJ2z7geCZhkBLtOtu2Y/Bqm2Ug1W9sN7muhdE9T0utSPQgCQaqEXesNhjVoLXBe4WE0OQITcAKa+qG1QpOjYBT7Xm0Es16WGRcuNhnqcjo5RIXK+uGjdKGQLFjah0+9Kr3VSndFo2WNsPBss6VotfXyX2rjU4YY9Y6jm823BVa+mok2cLXDWvNmExDkRuWCkM/M5hM3GK1BRcaK9XWQvje+rlhc1yzNszoGYVXWtCfnfTYWCwMexZ7DDOD956pddx+aixoByFIp7UIsYVC2pwOckGanVSWUWk5vrFBZaWJmSAUqDR2pZ9T1g23n5owLmsyY/gn/fNUcGetZXFxMS0vLS2dtX/2/kaj0rPZ2KADO9GllfiFjdIzzeUDb0qcRqvohlGCHeSluMjoWKQWC/g6hXnadKqkIX6eyoeaCR2EQwiuKoO4rSLYnopdxKQw0jVOmij5hrKGijqABbot6Y0ziUM+uoNUyijSUUpEXVwJq8D7VPwXq6BNMJticSEoDLGPdkh9VR4Vuv/F1FtjQoZY+ODjfoSCM63l+jY31lheWtzRDdTeuTNv29bVNG+BxL8dximL8+nJae0MZ+5+H37ux9r6KsvLK1smOKvFtyu3rN9GKM3/3mnlXApARzj65MtP2VLxf1uOIf9GoxGD4RDrJCupspqysakGyCEwNziFMaHNrc5SDxbCt1Q3jvWxY20kxWl4Un/5LNP0AxM9uJKxUOShs5tUY69PpVXpZiUptbaxwSsg74/UcViB2UeUIaMUeW4wxog/wCumrqYwIhRG04bVUZ0aF5mA9hy9C4UxDAtS/wmH49h6RWmbVA+UK0ORazaMZrNqGPayoBiJEiaQ7Dp055NC06ppWJ2U4MBkAjw6yBT7hgU6C+0NkOue1g3HNypuOzFmUku+YBYK9J5w8d2xU8+ezigoHvawh/He976XF73oRQB8/OMf5yEPecg5mcz5JoNgConS3VZBKK+wdAOwgharg8bvkQwipUTjtkGt1Y6Ewuq8Td9jysf3rVad1nUVgsBvWstjGy2z8yP9DudRtmnHBTVzWy+mkhQ9/GwfCB2FRrSekiiM9yWmQc5fBDRKgRUt33WuN85vJuAf5hBl0+xZxI2WjTe2m/nOtIX5q84EIFVrz9zQOR1cnea+e9oK/W3cYvPrYsypajzFaGPmbPO/d7qOeA0d8c0MZsgZae4q5k0OZq9XbTM0UllDUU3wkDT7XqalyU5ibIra+QAPLtaFByrnQtqsotcPospLF7raWsnOw1M2ljVnUVQoIMsE7DLLNIWWlqODIuPgUo9enpEpR55loDzjqWOjqtkcV4wDxLmA9Tk0GqVsallc1WCpib0kegZ8aAvgtQqp5QQ3m2V9Kh0drbOS8YjHeATcM1M4I1HHaVlzfDRFaYMPMZE80/SMtE0dhL4UseNlbhRFblCIcLUOToyr1HNeecGvkphFxqE9fYaFWCuNFbecUucpmP22t72Nt771rfzgD/4gWZbxtKc9jbe+9a3nZDLnm5wi9LeNaK3gYwWcbRKUN0DTYX7BDpAd5vwH8+4AFbanPHMtJnPqgBrs/q57CaLGL5qGV6HfNe3BTTCjtRIIkHI8YXFhIPsY1TYsCk78mFYYmbbyobNazF6idVV4G1vBtj04kkbqaTOfXBR8Pl1oC0WhulIgCL+2URGhw16SJUGjwytKVdLP89kbG28qs4x8W+tBzT2UmefWxkvi/h15tsUdNDNgnqV2BqfSy7k5Oicuzi2ceH7y3eN13HApeTrOeWYbrXDrCjk1MwKYLQaNsZZ2Uj7NP96jlLBBSDsFer0cHxp2OefZrK20Q40Ze0oCw0Vm6BlYHOQBPhsI3RantcB11C50e9OC0mqAPPMoL9lApYVJbamt1ENs4oJLsgKk41yupR4hzzXDTNMrMvYt9rkoz0SYhVTFqmnYLC2bZc2odDTOCm6bt+JWReD+CffOBeyvTIvwQHkyJS17h7mROetQ1Omgtp6Nuqa2YJ3F04Ruj/FVVNy17tHKhBoK6fbXK4z0Fc+1tFlFLBqAXgAoBIn/bZQ1p8Y1pbUBugcWigzfO08Wxf79+/ngBz94jw5+3XXX8eEPf5imaXjZy17GNddcM7P9gx/8IH/8x3/M8vIyAC984Qu55ppruPPOO7n22ms5ceIED33oQ3nve9/LwsLCPZrD3aHVKWxai8InbV91vkpFhL1oNfSYZhrL11TQ2iOgXUxHzXTYU8kLjVJkJr684pIxIf9aaZUqXFUMcmiIeHpS5Z1YjzDYEBD2Ae57o56wOOgJDElgxtaLteNszH5ptez4ekmfCgmU23jODhcSxuMlcBAgdpXyAmpIi4fl8O29i/crCQLRrjyOHLk8r3S6PrHAVKgqlxRAG6MPW3nyTCpsl5nGwLLIw1muPP85zfD+jujfcYfuhngbW+OIiPSR1vl2XBTQyS7w3fN3DuLSBaVMtDguZaaldZGxy/sSmXrcnn751gjpGq8ync58tpW4LTUV1K4SxcOFFFjlUZl0R1RKo3BUDmzjGTlYn07EIlLSWlhr6RnRyxQrPWHsuclQWKaV9NWurccpgzaeJSMIrbkR940U+XtGVc2k8ZS1p5w63DQC7QRLRMt3mmkSwuuwyBnmBfsWNJPNdfbuWcF7AeMcV9KRr2wk00pultRNufCwatWI0jQhubR0YAwZYvUs5Bn9IsNog0JqSqwTy6q0cnzlHaNKccpL3EprLfhmytPPpQXqYl8skKVeTj8zOAUquLAyregJE9o2Lnhf0RkFxU033cRHPvIRVldXZ8zpf//v//1p9zty5Ajvf//7+fjHP05RFLz4xS/m6quv5vLLL09jbrjhBt73vvfxxCc+cWbft73tbbzkJS/h2c9+Nr/2a7/Ghz70Ia699tq7e213m/YNwFgTYgkBACxWMYd0pZiGGlNSY5aNVmrGbUPSwDurfMRHkt9VA9JqvZnJVxcF27cwIeHl9Pj0Aaaq6cAx4nlU+F1O4VS9mb5xp8S1FnXGNK/ApKLLDd/NbJIBOjNSne5cSOkUbd+HC4zFVB6pOFWElzaOCZJGBX+TCsyiq9EnVha0NxeuXYf75LVttfX5v917vM1znfUC+W3HnA11eXhXMM1T4qvbMNumgdrbrbx3G2bcbko13qc56+wWtc26beyjLXtvO43OLvEILjBFoxS60ME6dIJRVoaXORiRzvv0HZnMhIIxQV5trDD4UVnhVQVeY70LYzW5krafi3ns/yJJGc4Ht65TFFlBnjmKBUOeAV7ROKnpmDbSRbG2nrKCMY71iQNqlBK3mfXQ2zgldRIZ5HlOrhTLg5zCiOspFkxOaheABgW/Sd5xuUke8M5Ro6gqy0bZINBLoiRkWpoR5QqGPYE/zwO4am0F9qMJBblVLVlOTePYKKVVrA8KQG4UhZEsrn4h2VT7hgV7F84RIiBnISje+MY3cuWVV3LVVVfdrSD29ddfz1Of+lT27NkDwLOe9Sw+/elP8+pXvzqNueGGG/j1X/917rjjDq666ire8IY3oLXm85//PL/2a78GwA//8A/zoz/6o98SQXHlwR6jfEVwioJFIRXX0vQkwhq4AEUt7imVtEQFIdgZdLnA4G3I/Ij9HHw4bmMdlbchwBfTc0WICJRHqLFIGqBP8AyzrogO8/Mho8oKc3XB9Il9qKNAmtEyicdTbdpq2CbnEm2nq7EkC6TpHmvWwaG2WddusMEaCRp4MLiMCtkomW+bQIVK33lKx+ymi82fv7NOd9/ftH7rO61O91tFgTovNbay5u59iSOmZUWvt/0H3bVA7jXNx02C4O2Kye7tSIpKR/jGVdEqS8oIMJ3WeKUY15amJFmDBIs6NwKLnQWFyivw1lN58d0rZUJdj+ukoStyreh1nrV3nklVM6l8qASXz0qwnUJRnVJo77HO4RqFwQdsqIwik+y+wmhMgOed1mKFlLUEs8el9Nueeo+qQKkyocSCdGLMjcYgkEZGicUwUAZtMpRywUUlTN5ZgdkJnlPq2qUsMOccpRM4D+t9gjvRWmpQerliqVewd0kwp5qQrCKID/I9Vo3Fesu0FqDFo+sTvu4k+/Gf7T03wuKMgmIymdwjpNijR49y4YUXpuUDBw7w5S9/OS2PRiOuuOIKrr32Wi677DLe+MY38qEPfYhrrrmGxcXFhCd14YUXcuTIkbt17htuuOFuzxfgro2Sb64fbeMTkCyAxrWaePLXhzGx90J3n8TI05fWfnBR04pMuX0pmcH8j8O7VeAoML7zkXdUSOuiFeMxWjS2GEzGRxiMzly38EgfFUGI51XtHEywSqIVZRRkhYwRQDhCpohcUAap6luraAdBGyCYRUj14f76kDXjQ2Tf5wBtYP7u0HYadpzCrLDtkNo6fou23R2jti6nZx03hwe2tKCS4O3u3v4+e2XsHtGcMD3NkNNv7Clq72kw2NCKt7KEeAVMGs/GpJEWvLTfhEbem9w0aCPvjfdtXY+tBV5GrNMA3BgelAppsABNLccrjbx36XtsjRnBGEPWad2+w7mGXIHJZNyeQt5rB4xrmEbUZEfCWitTxK4i0535UAYstfY78cSswXC7dLT8bfAWyDUYA8YROu856gamU1jdrGa8EZJJBYWBfgbDQh5EE26s9pIWLrKo4Itf/OLpnuA9ojMKissuu4yjR49y4MCBu3Vg59xsmqD3M8sLCwt85CMfScuveMUreNOb3sRLXvKSLZbL3U3HfdzjHkev17tb+wCsfvZTWJ0HBqlSjEBguQWCQGtBydSmA/iX3giVCs0iLHgySRGLwjuovRQNWedaq8ULeJgP/SE8EkvAe3zwW3orRW8uCBoVMYYCgJwEsiW20dQ1w36O0UZyzZUnM4pMSxvWzJiEuClaX7iGkMUR4TmcEywfG7rNxfkqgoWhZB4utiDqOM9trDp3nZe+U8TYCokAq56Er09+WOscVV1RFDtrStu+HVveGR/l4BaK6Zpp2XW/8pkjhO1zK7o/1VYLqqvcV1VNUWzfM/t0xoTaYfsWa43WuqXz/3m9onvcrlIyvy0KyBnLSGmqquLg3iEHFwqpwNaKurHSRjRioVmoXYOP/n0L06ZhUnvq2lIFDStaqhnCvHvGSHA4ukFD/UAbOJcGQdL3AUrbUabivMP3288F2qK28ZsDq730vMfRNIpRVTPo5xitWchhxWgBW9QSjDchTXtU1owrH+IWLnkAHFBGxcPR8gWlwremg6DS8k1ZQlxD7n0PcTM31qOsFC5qbQS6xEktiLPCFzatZ3VTLtJ7ucaekWr4PYOMPM958pOfvO07dDoqy/K0CvZZNS76gR/4AR772MfOMN8zxSgOHTrEF77whbR87NixGWFz5513cv311/OCF7wAkI81yzL27dvHxsYG1lqMMVv2O5c0tVIUIyQqt6eTBdRBT03FdB0mCCRB0QHfTJ4J3f0LAcWVAFcRA2IqAZLpLGJL+ZTLLcV3MkaC0nJ2532APJATukYqSJtaaipcnNuMVSG/kmDqwo+H/3mCvOuY0rMcRUVUEiQ2ITEKYb5xsO5YQG7uxrSLClBapF7My9JKMP+dtVs5WWffrjrfUU+6lzm3dptjzI06HePejkHPnMi3f7rHaZxUNW93vFisuN1+O1G6rfF+ziUnzIyZ+7tl3uEhdfGktgiJMNxauOX4iJuOSefB2NbTAP2+YSHPWRkWLPcLMqOCq9UzqaWnddmEXo6OkGoqGVBl45k2NjS1UikpIjNaUmNNRIs1GB8UuQhhowh9VKRavHKO8aYUx0YA7MYGSzj1ztCJuRNcvj64iKe1pLX78IIVWrN3QbcNzUJCRtl4ytpR2pA40jj5Pp242mobEkRo3XAmKnUBEDGLVei5QnmNDq4uZ3xAV4bGSfq9Ds3JYjKM89IzYzStmUzumeV9JjqjoHjmM5/JM5/5zLt94Kc97Wl84AMf4OTJkwwGAz7zmc/wjne8I23v9/u85z3v4eqrr+bSSy/lox/9KM985jPJ85ynPOUpfOpTn+I5z3kOn/jEJ/iu7/quu33+e0LHRzBqmi1aVmT+wsjazCexb6GbuBnXB+VcCuQUKdOka0oT8p/jmdJ3rtq/dOcRtfAug1Wt26p7fttA1lQp2yjpll1FOfWDiCNUanwk6ZUhFdZbdMjrVh1uE8eAmNrR0oi9N1Rcxs24vRIT7F5jYqxBkES3k9xCdH23aq7PmrpMdDtrY8YyOM16NbfBbzMO5Pm3ysg259xmEmqH9TvRaYeeVvqcWTTFES4wtxRjQhIcrIWNccM6ljtWJ0GIaLKg7PSLTOApeobcaLJM40I1c219sEhcSkX3jaVyYqWUlaW0KpmjKmQO5kqsaKODOyZTKKulQjwPdyNkJVnnQv8I6Zm9OQlgftMqZTlqI2m6/dwEuHEV4i1RUCqmje1UWEv66kJhQpJHTA7xTEpJ7U0tiUN2YvrtJZ9PYM/FEnFOlEOHtC1WJmRFZorc5PRCrw+vFGXTUDWimHnlz1nn0TMKih/6oR/i8OHDfPWrX+XpT386R44c4eKLLz7jgQ8ePMjrXvc6XvrSl1LXNS94wQu48soreeUrX8lrX/taHv/4x/P2t7+dV73qVdR1zZOe9CRe/vKXA/ALv/ALvPGNb+TDH/4wF110Ee973/vu/ZWeBfUyMSG77hOtYm2FkPfBp9ihusPo4oeTKGgPBIZuAgheCqwGqaTcLGuJDLOTHZtiDelEPuJCtYg8URd0yne0eJ+ylbxrraB4TBGGMX7gWsVYzf3tXta8cJrjtPNabERFifdHwAxbaysKsJToFc0XJemEWUwo38kc2MEvsyUOsxOHnxO+c4cJu+7EgluBm1KO1cyO6beN16LUmdlyN62rU4OyZfo7XX/32jrvp6cN7IckMxk2d3nplGp2m/LSUzq+P9ZD3ciGZJxo32YF4nAarFNMx5L/L5XPBNeMIlMw7OcsFDmLvYw8M6Kxh+Y/tXVSR9HYFNytG8FHmtbS20HRprTHwrYiU/QzhUNjnbQEaILG740B7akqy6Cfi3vHQR0Cx5vTJilykSXokGqbhwLDfq4Y9jIRVgqsUgK/UVls40FHsERDrkAbg1aOqoGyFihx5R3aqxT/lOekyDw47fGNxQb38bRxbMakFAQxQukAp57pmd5B9yUpv11ZaYf+/M//nF/4hV9Aa83v//7v86xnPYv3vOc9POMZzzgnE7o3FP1s9zRG8bS3fpI1G7VugfxTBFgK1ZYgyaMI7pXI6WIOekejbDOgWl06QoCoyDWd9LyIBVIq5KWnb7vzsc/wtC5j08wwd+0VjZcCoRQbUtFmiIVg7ZefgPTCWKMUztrku1dKp2K87rXFC+6mtwpmUIAcSWs6plHiWCROJ6cJCYg+LMdYBlLAVGSdD8DP8sUZ/jb3Os+Mi64VtpKf+T17At+59rtDfpvfTS1++Luz73Y+o21ns832eUsnXtpOIi/JnDmBNH9850MCg4nKTyvcfaztSXG3Np4lUqq1yo0Wt5WnzTKEwOy19MXOtaLIM4Y9w0KWkWWKPEBoNM6FmosmuIAEmrtsXGh+JHGN+P1InwiB8VjIBdNpPB2T94cSU/Oepmkk4uYc3mu88iHjSOITMXmlsXJciViI2y1mYvULw0Km6ReCVqu0ZG2V1jIpLXX41jRQGCUFfJl8exLjaaidorYxi0YF5c6nb04lyx9wFpThl7+zx/d8z/fs8HR3pjPxzjO+sh/84Af52Mc+xk/8xE9w4MABfu/3fo83vOEN35aC4t7SQh/qqjXdrA8MPTwN0YI0SWSkwGyr+SUNrMMwu9sTu1bCsiVQZxL3l05w8lJkUf5so+FKW9TAWF1gskFbtF66wqHjS90y+JmDzB+Tzvx969edwRVRM38AnwRNV2DMHrkr1dp99ZzWbXRokqR8hJGSLCorfugu7czo1Mz2ncalkV3DLm5RM8O2XdgJCkXPDttywHpaUfSLmfNuZdzt2nn8Wr9lazv3LcIjCvZ4cDezMaoMaYrp2L5d3vLShEHjSY1Vmto6ykbWuZB2JIFlT5FJlo5WYBGgPrHQXcqGajw0jW+VnTDGO4HCb5wc3E/qlAARs+x6uQDk9XJDL8sYFoaVfs4g0xgj0OTOiptJeks4xlXDuLah1WmT0uDN5hitxIXUM9LsqD/oyTfg5Xu2XrCklBcBFTvUVVbSfK2T2o7aespxwykPPlSORyGVGamhWCgMhRH3UR46W5a1Y9LYZJUqFdJ6Q8JJHgRyHayjuokBdY/ThtyYu534c7Z0VqCA3WDyFVdccc4mc75po4RxChps1VnlY3TtlpkhsqATw5QdujBI0IG4oE3n636Qc2y1PXy0OAJHSI8gpJ+qzrkUIQ3RQBEmFQvkdMStocOcVMtsUBJEUxHQL2j3xkjWho4ZYOHcBkXsaRzTfCMQoECH6HZ9hzlHIaR95F8qBEmd5IyHTCvrLWvrGywvDtJt3k5TjwVRXW9NuvFz2rSHFDuat07i2HSsbZ7Lts/fb51VWtO50b6U+oL53bvXNvtcOt/azHNqD73F3Rk09vie6O4B0s/OkeM1biMU1eyQtNSnZt/eJTKMuIG8w1rLpHJsVpbxtGbaeFJsNSAuS8wiaPZalC0f4YF9m1hhvdwPa0Ebj/dSN6GCr9QB41J6W/tQ1exp3bs9oxjkmmFR0MsyskyzbzHjUNaXAjofah5wnDxxCt1bYH1aM6kt46phvQTnqvRtai21IbmWhkRFpskyQ08pFmN2UyZzbBonVeLWUga3WO0cdS2JGadGDSdGzYxyopUcf1Bo+llGP8/kWE6AFqWBUvucNIQCQUNPe5RRFNqcvxjFYDDgzjvvTMLhC1/4wj1y69wfaKUHymQoLVZELKWPTCNmRDifwCHajCDmeiF4EgePqXsq9KwWaOaQqWECLLMWBpwF5mwyhdEmoMzqAAvSMgWD/M8oLcFC3aa6KgWrp05w8MABqWUwIR02pOi1DMJJdUIQWLEPhvMByNC6VCla2wZrlaQXKtGsGivc1vrWLI8meiwwtAGMzSGWT0wpBNEsfXB0Oy91H1GTdeHeKy8d7k5W41boRia2g7bfpWQU7fTQ5y2kbaVAd/y9U5IqC9W4mTvpPPm0edtZdOcYVWwAvxUa3YcDzbvTwvCkzMxks21zD0RQtlGwpoaT1SaZ0eSagIiaY4xiZZBzaLFPketwzS7FGMalZTKtmVqpu4iZdipoy3morYgwN87Je+lV++54RMFQPkJvS/qptS7UVCjKBsa15dhoki5AqcBcc8UgC/GLIqP0igv7OXsXCnrGYHJNXbtUlDdtLJPKMi5leWMqSApRN4hxixiMNjG4riDPDEuhL/hCrkBpxrX03ZiUYtmUjYAm1g1MG4cPeA2RncTaj35Pemn3Mk0WUWet5eREkgGMrqmq81Rw99M//dO84hWv4NixY7zoRS/illtu4QMf+MA5mcz5po0GNisrGq+S2oL4HaqgVRh5I9CISRgLgIxRxK53Etfwob+wbi0A1QoUgQ93CSojBnZF8EginfOCtBmdrG3dRdR2g1bko4XiQzU3VGXDN9aO41ToEkZsserCX6lVEP4RXsuUlQEtX2nh0+n6okOqsE3pWT4JHNF4giCl1U3b6vU2N79rnYqVH+yLqAkrHa41VrtD50+Htmfsbm7zDF+FUCDeudI5JjsbmuhGmzpj5k/v2TIurnMWJrbeepAdLmdHAXca2s4K2On32Rxnuz0tMJkIJH+ydKkDw4y++iwU16kQnIZBYVgZ5BRGwAHFheMYTy2TuqFsHFUTYhsxzhUs0ojZpJA0Y7RYHA0O38g31FjQSjKIciKzbc1wFRSSU3UTlL4KZ+HI5moqFu0Vmlxp+r0sNDvKObg0YNAzKES4jSrHqdFUIM4rS2ktTeOoPSgsuAj42bA+URztsH4dKgGlp4Vmz8KAxV7GYmGCC0uxUTasTWtGpXTRqz2UY4vHpndah3+ZgX4msB55vn2Nzr2lMwqKJz3pSXzsYx/jS1/6Es45nvCEJ7Bv375zMpnzTQ/bY1izw8TQFAiUtFZ464PLxs+6MAJjt4iGDLOaeSyXTlq0jwwxwHYEl5APmQxKIYGr4IdwnpBOR/If69NotdExJlWtEZk17KgCPqvqfEC6dUE4QGmfYMMFLiT4CwI3tN7jE6hgR61C3AMiK9vAdDxuFDZu7l7g/Kxmu80VWcBMt0+P7d6Je8JUd9o3uknShnn3DluXRdVtF2fiGGGwJWTBhXXxHeoea95SaoVte6C7a9gkd1XXFcc21zAzvitRZ6muHVqTYPNRoZrZS2r21EOmm8611ckFqZXUDHgjFnSuNcposiyjyH0A0SM1G6oaQXytG0cV65d8+4yMNuTKEnQvaifCwMWMJS0w4Er7AC2uKIwnVxqH4DLleXB9eqko9wCTEF8ITN8YTa41vQyKvKCXw56+YXHfgIU8p8hEuJ2a1KxuVmyWjs2ypmksDYRWBJ4cSevVWjGtPVVtOboxTV4LSfuV+7LYzziwqOkXUjhrLdTOMp42TKxnUjVUjWdUeUZVw2g0unsvxlnSjoLi85///MzycDgE4MYbb+TGG2/kqquuOicTOp90ZMOyaqd0A4ixeGzeVxzNX5tSIdvPeVYJjf0YgtaqPNjoimlL/gHR8Dt1ZfNB1a6wmNdo0z7hh3Wgmw5URJend4+9DROIgeTOJXWnMetd6x5EddqARs0/CIAIdZ14T0jmiGmzrYkxm44sgnjrPDqXtWV+89Ijafw7WiPRUtqGN3aW58+15dZFxTUsbifauumoXQGxTYhjZkEEiko775SFtVP8MN0DPztHv3XUzPKW+xnIhvtpUKjQs9o7D1qy+KRuJrhvAzW2k46Nx5iIc2TRSpNnYHAonQGh3wsSH5OAdehcF66xsWKNOO+p6lYfilZHlokrtpfJ+LLxVE1AGHBivepMrDxbx6JWyYrSOgbfHV5JcatAfDRsVuBpAlKyR+sRxhgKpcgzRa40vUKzZ5hx0UqPpWFBPzM01rI6rlmdlmxOHdOqCbhNQYFUUOiAYxWUurpynKwa7GbbilmjMJmi0IoLFgryTIGXhmmDwd3UIM6SdhQUb3/72wHBerrzzjt5xCMegTGGr33tazz84Q/nP/7H/3hOJnQ+qbSC2ti29/QpwJfkQfwXPEKRwXS+/TYIGvZNrqLuGOa+vznmlpRONbstVoXGfZRrBYePc4lM2M8KlXDodD3ddfGfhuSvUWFjl49356/boWeOBey0pfUKyKKfq2r34RxuZwbf3bC9r312eWZ1Z7zys9e5nRUxT3PJWNveX2ivb0bmzUv7ufFb7liH6Xa3dd/Lu2NXpXeVrc93ZlDn2cR1TcgJFZwmnwSgxMCkO533nl7AqWisRWXSO9LbrZZIbR2TKr5PTYinBevDCGBerjXaSCKqR9JKe3kmFnq/RaMVZFmp/K4bycpSQeEwGontaY0JUBkTL9ZIbWVupQOvbAq8a7kwVGw+pD2ZNkmxaJxUg09wjEqfUBAUAmZptCfPNP0Am5Npxb6FnOHeIQuFFB1Oy4b1acPGuGZinbjgbJvZpEPtRm40OMmMapxmYyp4WmgBQ3Tu3MSPdxQU1113HQD/+l//a375l3+ZJz3pSQD8/d///RnhO+6vtFHBuHFbmENk/JEpzTDewKy7GjSQ8JdSmukOH6SHELDbOp+oBZ5NCr+iPV/cd75PQxy35Rx0YEXYmdV0BVw8ThZ2jnM1M/4WH7RCjcaxjzUy35DRkNNQUHPU7+Moe1j0Y67S/0hGQ6Fke64a/pd7NDf6i9nHKs82f71lTn/uruQWfxEXcYJnmDkwNAV/Zp/IHVzIg9QRvkt/ecv+/9k+hWPs5WHqTr5Df6Uzc7nCT9n/gzWWuFzdzlP0V7fsf539DjYZcoW6lSv1TTPnVsAn7D+lpODx6iau0LfhzKxL6uP2O7EYnqC+weX6jtl3yys+7gSV4Mnqq1ymZsExazL+1D0NgKvUP3CJOj4z/wk9PuPE8v8O/fcciM2qA20w5M+8fNdP13/HPma7CJ5ikb90VwLwXfpvWWIcD06pM261F3GjvxRlSdDfugkQ6t5S5GIxGmVCf2qpMNZZC8kviQ5tgahz8u14Typ8nZaOMeKElPfcpiZAmRKhlGuNwZNnYvsblaGUYJDFIrsGKRT0LggQD2DxVoLFvTz4/ZWg3kr9REBrtQHRmaA8OkEriMqUCkLNKOjnGhVS6xsvMYemtIyI0CTh/Qhut34mld95ZugVhsUsZ5BrBnlGbhQbU8vJScW4tFS1xSlDVVsqLN75ALwpKcHnis4Yo7j55puTkAB47GMfy6233nrOJnQ+yVlS1XL3g51LP5+lnbTXbwEpHBmOmgwPXMAqPVXRoybHktMwos9NXirpv0f/LQtMKAITLmi4zR/kevd4AF6TfZweVWLiOQ1fcI/mP7rvRGP5cP6+xMDj9j+x38lv2O9jmRH/pXetHDv866mG99Qv5NfsD3IxJ/mL/mu3XMPb6h/jN+33cUCd5CPFe7dsf2P9Sm60F/MgdYy35r+9Zfv/t3ott/qLeLi+k7fnv7Vl+23+IHe6C7lC3cY789/csv2r7kEc93t5ovoGv5j/xpbtf+MuZ80v8VT9Fd6xzfH/0j2OTT/ke/Tf8ob897ds/4x9MlMKnmm+wGuyT2zZ/gn7NGoMzzV/xcuz/zyzrfGaPy5FULzQ/HdemP35zPY1P+Q/lSIoXpr9Z55t/tfM9jv8BXy6FEHxE+Y6vtvMCsqvuUv4r5V826/J/pir9Ndmtn/JXc6fVyIofib7v7lC3zaz/S/s4/ix+k0AfCj7tzg0t/kDfDP8u6m+hCPsRQUnnMJiMlKAuzAKlYdGPUYEY9cdWTdOkJDxAiHjO2gCQXmrrA99o22y1vJkjYivX+sAFa4M/Z4JhYIGvKO0sDGqUEoF11jbthhaASC1GcEtFKqorZOYYNk4bLBkHFCVbUKGD3Ac0fOQaYKA0VjrqJ2lKpF0uGD+x6QYgQ7R9PO2RiRbKOjlEmw3mWI0bVifVnIPLOcsPfaMldkvetGLeNGLXsTznvc8vPf84R/+IZ/85Cf53d/93XMyoXtD97Yy+zFv+iTTjttF48hpmFKggT1ssKJGFEqYYE81GBx/yyPRRvE4buRB6hgZTWDWDQ0Z/1H/c5SC73N/wcP9bRQ0ZIGZr7HIv+MavPL8pP8oV3AzedC6C2pu9Rfxei8M9v/SvyjbsRTUZMrxv/xjeIV7Mx74lH7dFq3zz9wT+ZfNtXgP1xev4kK1NrP9P9mn8VP1q/HAl3svJ6ehIqcmoybjT+x38p7m/wQ8f1K8Oa2vyajI+Iz7P/gT991kvuIt2W93tudUZPxP91j+l7uCPlN+SP8lFRm1zyjJKcn4qn8Qt/sD9Kh4lPomFTkVhpqM0uess8CEHjkNi0y2PLMxfWpychqWGG+JkWwyoCKnoGJpm/3XWaAmo0fFkhoHS8Cnd+AUSzRkDJnO7B8tqhMsYzEsMJ6ZX7Qsj7EXj2aJEUtqIv2/O+rZXewHFCtssMDWfsd3IlD9e8Od6JJHcQdS47SfVQaUYW4yf4tO2w9wkn7YHqkhS8e/iOP0QnFYpLKz/UEcIadJ+lDWVKAV/+AegvPw7/P38nB1B5eq4+RKBMMfNt/Ftc2/BDz/V/5eDvt9QYgc5DZ/gFv9QcYM0jPLDOQBcqNntPRScZ4aFdxcEi+wTtJBPRBzZlVIk7XeBReZlsY/jlTcl84TMrNizY+3nl5PKqgzLb0sQNCPI9ifR9xtEUYnegmkKC5kZClQxuC9pMF7lLjAfIDOQeFcm7WkwovigwQ0QULqkLxircQtUw0W0WpR5AaK3DDMNP1eTt9I//BXPw7+6T/9p1veozPRva7Mfte73sXrX/963vzmN6OU4rGPfSy/8iu/crcncn+g1xV/xIv8p5O2bIJT9vH2d2mU5lr1MV6kPjuzz8QXPLH+Lazz/J/m/8dzzV/NbD/ul/md8fcA8PT8r/lu/TeJmZbk3OYPsBYqafJsQq4rap+xyZCajNv9PmLa/f8wj+er6lJKMhoyKp/xTX+ASXjz3qtfRJ8qMfGGjGN+T8pRf0XzszgUtW+3j+ilLJwnlr9Btx82dGIfKJ5X/WK6rvm4R0XBz9avnHFtdeMpJX3+wD0jjdcRxsHAAND0uFFJ90OBaZYMqj6ga0ue9/D0Zk7u8fSRMZ6CimKLm854OT70Gfk+86SRokRPn3W2bldAjqdmwEkGnetuf2kPE4aMGaZ9uqMUsMEC634BqyDbopp5VllklcW5veNVwkm1xEmWOvOaHXecPTNz7v72wFH2ddb7znY5/l1csOW647V54HYOzuxtPYJzFLT7a/W1IaPPcYE7zqXuKKt+gVzDwE3Yr9Z4kv46+9RmOs6/a36I9zc/wjKbvDP/TbFGmgPcVh/gNneQo+zDB+ThXhagN7KMQabJtMH6Bk8u7iUbUmptiJ/gJKPKeEym0JmUe9qQLtXUEtS21lM7KMct6mpmohARzV9pgecfKB96XHicz3DeSre7Bkqi58GivMXTpvNGHd8YaXhkAmqsc6HXfNatMxIXF0pjMoHsiNZILH611mEb2LQN6w48FXiZ9/Tyre/wfUFntCgira6uAqSOdd+OdG8tite+5W080X+FKjJan1GR8xH7bDyaf6K+xmXqiGjFSavO+Sv3OBRwMcdZUFNZ7/N0nE0W2hgGs3/R7UuZGGt4ITSzH310ifmQUipDxZfqAzqlImDmuA4ERyDf0U66MQnULFOXPhwkZi1BvaCPqTa9UzBsJIDZYvn4FACXn2GioVgqaXYxYUC1c0iWQJxjOGU1bej38y1ZWPMsdXuaZanxt2eblUkkzm7yqDbYnobPZsKprhkTenO4eCOUHNXjmYxrBsPZoqh067ZdjlIxnNXPrN1ynJ2oFfjbD5QEjo4ACQ9nNpmiDYCNJxZdZNIcK6SHd5q6SyV/KLyROJ0cZMFucrE6wsX+KDfZQ3yleTAPUnfxG/kvc0nHGgH42fr/w/9t/zmXqcP8uPkUt/kD3OYPJtfWlAGFEQbcz41Aj2uJhzk8Vml86I8hgsQHISLXYUJcxFuJK6B1gkOvXSgcdbRB/G7qc3hfBYUgxglIFg9esrxsjBO2r4Z8b+G7x5Pg2bNCh4C9woYdY9DfOyuwPzFSHp5ZajOMCKb3fGef7/3e7z3Nm7A93WuL4p72zL4/0l/yFD5tnyJuJ53eeYpwl77KI/lHHpkyGuLHNzQy7gT7OUVgyK5NZzVz6reljXsoOxsD2U5j3SJcwvmNQuoePGR4VCZmqQKa2tMfGGIlX4CwlznH+YcLiGcK+o3oMAoJ0nvJ/Y6jWkRRAR4UKN3QtCimb7p2kiq83CkLJGpqXqftCiQg7uP5mCnKa3t2xLsQt3QY9fzDjGlDMxv8zL1UnQ9OfoWETNUmF7RMOwpA3zlsi5fk07IsdI/XPkpFg2TXbUu++9R3urJuV8CdRcMWpFufNqTrSEdPaXQdTqg6R08vaOdatZUq4VyF7DofekFYnA/Adr5tVib9RBSrfsAaD+Hr5mF4AwsZnFKX8iP6A+TKccgf46A7zCF7mC/xGAxwiTrOc8zn2KNmawSuqX6Wv7KP57HuZv5f7vPcNhVL5DZ/gOPslSB3rukZxVI/E0gZ7/BoKuupbUNtFeOmYdR4nG+CwqbohTqHTAkiq0MC7xbJrrJW0lqVk+B2HTMNw2sXX9y8kzIeFTUX3GERhVopqDy4xqFo+2eIQiWWQpHBIJcAvfVSqOhc6P/iPWhz2vqqe0vnrGf2/ZF6BqbMCoGuqme7i51vNL4gqvNbmg75hE9vOuq9VqBM6N6lSM2KTHjLku/U03Lm+JF6R4r2eanjiJprZPPeg7O1aEPIB1wTsi1CRbYPWq5ouoKSG8/jce18lZrRnbtCRpiqTlMUK2eWeSt5h9sCKS9CNPaKlHvpwUW4xHjdQTMl+mV1Oke8/TNA3UnxDuePFkvHIey7D67DLLccZMvv01F779Xs2vYYqr0vKXU6TitCqiRBSGefuXWzm2f/qq3Wgu+s6+I4xRTi9C5vlbvExlPJ8us+WQ++qRGIDR8wuQRHrAiZOoI4oKjC9rppJPvIWdG0Q1NpHV4kqxVT55mYC7iZC7HqcahMsZwrvqr+Cc8yv8keNjnoD3ORPcpBe5ib/aUo4LH6Fl5l/hOZalWu0mc8q/olbmku4ir1j1ypb+SbwSK5wx+g0n0KIxAbywXsWRpQBFiM0bRh2limzjOtHdbZtgufURQaBr2Mwgi4p0PhGycAh85ROym+1UhLYq8Uyvow1iconpilmLwIKiLoSmJNtKintbRo9ZO6Y9HGpAAY5JrCePq9/PxhPd3Tntn3RzqwqChsASHVToWXXYeHKsq5aAlaa2lxqCL+TWzyo9qH7SwWCbzZkFHhQ9vQ1Es4pQlKxWXUqiPfjv+6TCBmkUSNXAftxePR4YMuMuj1ssBoJTVRETSVCOqngvuIsF2TWqJGph3jG7KvwJp0heIM0wkrJXgnTILQdMYGtM0EPR0qvAVrygcsfp8EnZjdnsYragc62fBCO7Pxe7Jl68iOfnCWe2xj1STh0EoH0QaDGFGQyoe3navfbuVMbc+9pRlBdFb3V6hpoG8cRaZZ6hUMctE+ptZRNtLm1DobOthJC+HlXkY/02Ra+jZUtYyd1g3WKSoaafLjXNCORU3XHsoGpvS5k4fwJf1QUaz6mn3K8994Bt+pvoeD9gQXqyNc5A5zyB3luBcEie81f8O/yv7TzPyP+WW+s/x3bNQ9/qn+Oy6qTnKbk0D7CbVHhJ5WLPYNy72cxaF07lqvPJsTESTr0xZy3CHWcmFI8OVGaxyCsGstVN5hg0sr9wjMj9KpGNU5T40UEloVCk+7yTVBmdBR4SLcl0Z8AWpjwnh8ngTFPe2ZfX+kceUZN02qgBSe3QEj26Z8dv6DmlMKZxiIPGwlWEie0HNBJf9t2l8HATB3UK07Wjdxe9v3wRNfPHBNsGJ8bHMqPS984ztGikgjG64twoj4wKS3ZRbzVdId87nVnH3SkFBdwRIFT7yC2RsVzf4oEzwK59vK1RZ+pG19GTmd6vyLJvjM9rmx3X1oN4WPNu7jt8RyohDdciy1/XFn3QGKzc2GpeXhNje2M8+5Wzxvpc0vqC0bzjF5OLW2xmChz7R2Atk9kXam8r4JimqRaRYHhmFu0FpA+sZ1I3DcUiWGDe/scGAY5j2KUKBXe09dWaZVTelUAhaMwJLWS0FabIAlbq39fF3tR+vHCmbTQFEoxUfci/mYei6X+KNc5O7iYn+U/X6VKiRHvNj8N55j/me6vNLn/IN/MD9YvYP1uuFRoy+Sn5RU8sP+QmrVI8s0gyJnsRc62wGjpmI8VYxry/o0vLfhfhkgzwUqfKEoQmxF01hH1Tgqp3DKoVEMCo32kgFmgmLWhA6ApWtomuC+tm31f3y9z5tFcU97Zt8fqfYR20gCQxAegBGmlWmdGuqgJMArmrQPLiOp1jQEpqdjJzv5GFr3QgvTHYo+gRZUsBUQoYdyqApN1axeUvcsMe0uMHfvpQE9UGvRcJJpbF3AjYpMLQibOF/Ah+haKjBUYlpb69ILL/nuMWfcJ2HjnGurqMNQ13FpxYZNvuMHaduehhuqVHCtSWpguEWh6KlqH0j3b4d8vD63VYBvp33PrzudFr2dC2in8TN+6m3OqdfW5HJbz9Tcj86x7sZ80g6e8O5w2vt1pnNsPWc7sqkdxeYGeSbAeSt9zaAoQlGdp7KeaSUwFadGFQ7p54AT7LR+6A7XzwQRtQaqqmFce0EpDsqGNtIAaMXI96e1CBnlobZQWkfd2NQLogn9tqtQ6OCR+3zEDzmsHoLiIRJINrAYAndvrv8V/169kIv8US7hKA/yR+g+vNdkf8JTOjUmR/0e/tI9jp8a/ytOjOG79d8y9j1O+oOcUitkWlPkRq6x0GGuDZNGem+crEtpehTegSyEEo2StODCGOlRgZKOfgiKLgpphao9RSYQ45mW4Pm0kZ4Y501Q3NOe2fdHumRFs+kHOC+4L8mnHbT79OqELnQSUJKgEpA6ZNXJxSJuJxc71nWsFN89nmo1DyE/84cY8E14C63vQZh9+wH7MN+mFg2nFQq+cw2yHLMzou0Qq2XpMPw4jVjohA7a/Q5cUpE8Z4Fhdt04cf4+je3eUumxLf+ZLGjjCkxtMan4YD5gvA11vpUZl9C8JXQ6Drnjts6G0/l+wvHjaeLQxtrwMc/6eXYKTLu588xjjsnmuX1VOOg2lt9OU52nrlUUV8w/L48K3eQ8a2OFV1WyCpUSqAqjPL3MBGjsnNwItEcslFsfV1KZ7ZJJR54pikzT01JTEe3o0ja4Jrh2rRP4fK3IQq/qPDNARFiW5l1NcPfYBGXvcN61vWCcxDO+UR/iG/pQsmyVgmF45V7jfppL7BEu5SiXcpQHq6McZSXdi3fnH+FidRKAqZeU9081V/Nvpy8A4Dv133GcvayrA1hd0Ms0C0WI4ygnPcO9pIRsVpamFFNBGxJqdR5AAmMCS+wvHuN9Rmlyo+5/PbPvj3Rsw7HaTCE04SG4O7rw4fGD0WiUdvKXmPsv7UcxpNiFIqQGBg1dBydjZIo2OlnENAECQqsPlZ/OhcbzIScpWAySIqsFOgE6kkYlwWMCt46ghp0uGlK0k4em7So0HjISmzHBGZpQTrUixQl1a0mlQKz3KZbR8UGhnMeF+wKgYxw+Wk+BPDGm41OaplJassWUZ3Nzg+WlYeJUOpwnZUypVpFO2+Ld8KQ8xBboXHbyHYss/s+HeImPXL6zLS5sFXMxY2yW6W7jqWRztMniwkKI4/j5zUmB8PPHcL6zPWkQaeSM4tGdcmfuad+wPh0aWrfjzDw6mGdhn/iala4GraUIzmuB4KC1bNGAFZ/7OEB6x+cULQNCQ6yelmyeIhNmVzc29axeGztcCJp7rzFGURhNZqCnNFke44TyTTiUwHQgwWODpsh8cvOKnSvvfd14iZGUFb2eVNM4xIL2zlM7S9PAKkucYIkvu8ujsSbZkKIv8mPVz3GZOsql6igPCv9KLynQGQ2/mf9SCrQf9nv5pjvAx+rv5o/s92BwPMV8gzvUAVb1XgZB6Fkn2UzWR2gTz7ix6X3tKj9GK4xq28+eCzqjoJjvmf3sZz/7rHtmX3fddXz4wx+maRpe9rKXcc0112w77r//9//O29/+dv7sz/4MgC9/+cu87W1vo6oqLr74Yt75zndy4YUX3s1Lu/skDEK+lthhy+NTYUx8QSC6VsTN4bxN69Kx5j5GFZh3cgcEjSb1eJiZSatdtUJIGL90kpMPLQuZUkZH378Es7VSjNSYhWEvZUQ5r5CeDpLumuIQXoUPzNPUTUcDViGdL8IRqJRb7zuulciqUs/vKKt8EApBcMRrlBm4EOqIrFslt5UmMIV0jzxl5TlZT3bUiuOct08znh3pZ+509wF1juW7+6d8pRSe6R67/WDVzPK8QRJrYqrKsVZ1KqxVW2MwUzczH7fa5pwxs2jrVW6/3+zaVnhEKy5q0u36bXcRgexr9i736UlaD7W3lLVnWjWhV7V0dYvKVkySQMUsKYXxoQUojbxTE6lHwHWSLrSoYjqXILiXl5mqdkymNV7L++K82Mu5VmSZoZ8hPS8yyHQGzmMVNE4LNIiX76nINVgYFjp8V/IuVo2lslkaJ7VKGrByPgd101A5uNNexG3uoh3uv+ZHqrdymTrCpUqskQfro/QQZOf9nOL387cCUrx7WyM1Iv/BPpPPuSewkFVcqo9xWB0gMwMgNE6LvckdWCutARoHTdMWDt6XdM56Zh85coT3v//9fPzjH6coCl784hdz9dVXc/nll8+MO378OL/0S7+Ulr33vPa1r+Xf/Jt/w1Of+lQ+9alP8Za3vOVbEhPZ01coV6SPRHW4QvcDkhUtg4+VxNJcXWGMlp6+hbx4uZYudFqJKe7DPmJG6sR8nHXU+JA+aKmtmJiN9dQ+dJtzXkxVYiqddJDzTdAAnWhSUwdMm9Z6SRbRPPsQa0B7Ca6Jhh56S+CBTJhwuN7YvU40fxf6cAjqpvUuwDGLRBXh2gLA+W04mNatIOlu6jKpWpLX5x7A2dF2w7dnoDvvs0VTj3Lcn35s1P27Sl5twdYtFIaf/d8ZJ3PWl3+agXN8P1llM7t39m/j++2gxsJ6NUrKU2YMGk9mNIXRLA4yBrmR91+BdYpRVVE2jkntkjCJWW7Gi5BwLiR8AHiFVRLTsAGOwzrbKnJRIUGHAj95Z+umpm4U3tVJoQOJcYhFAoNcekznRmFLSfworaeuGlxou5qHfhmxLXBmNHWjqBqJx/VyyVhSYb6xnkSETCMZe43mK+5y/t5fnuDzu9bfOov8v6uf4cHqiAiR8G+JCRa43N7CH2VvBeAuty8VG/5W833cpC9jwUxZKhrWWAmYVucGGPCc9cy+/vrreepTn5oquZ/1rGfx6U9/mle/+tUz49785jfz6le/OsGCnDp1iul0ylOf+lQAvvd7v5ef+ZmfoaoqiuLctPmLVFkoQ4MiCIJAq7b4BQIGffTDBk0jxCEaFK62oZUoIegrmTvOidbtQnm1D2YuzgcmLK9OcpV4h4mqefgofIATiPvHtFLvW8aMkoKiugIboARiLryL3e3cbNA5kZrlF9GVEHO9Y4qwRsDRQIVUW3EhFDrHGDHro7IemxhF54/zithOVlInO5aA75hbIPnnCnCOIp/1vZ75DdyZZjVyH/1V7R2JykHrwNqqpofntL0l6LdbC8C0LOn3tn+P1Y4LZxgbV8wJh+SaS06XrWm/aXmb/bsczalZ99NkUqKzDBe0Wa883jpp9do41iZVe/eCyzUzojANsowLFhT9LCPPJebQ1JZp4xlVlmltqb0PQHseHbKbfHBvJTev0SgVLA0nGUBNYyX9OnQIi4IHhIGrBqaKtp1peAeLekpmFD1jGBRKel8gsRPpOucYlRYLaO9D3wnp0he7MFpnsU7RKww9lSVLTQccFIVnXHuquqYO96m2Pf7K/RP+CrmvXatVATf7g/zr6l8lS+TB6ihP0zfwh3wPUwvf6/+GD+pfZeR7/D/NIxnXbzn9i3MP6Zz1zD569OiMu+jAgQN8+cuz6JX/4T/8Bx7zmMfwhCc8Ia3bu3cvw+GQv/zLv+TpT386n/zkJ6nrmlOnTnHw4EHOJR1ayBiQU1ukGXrQeqy0i6NBfNgSI5B9fECS1Mm3HT7iWBOAfCiEGorINGOnt9SBDlIdAsF6rL1LH7EMa9N5kuunK9RQKKWT2yIWyimtyAAVMPQzHYvYZLzRqoWbgFTv4IJrIPbewEeoBpIvVD5QH6CmLSIuu3OK8CAq3Rw5Z9geNEEfM7ycx4axMxr7Tpp1lGZpg5pl1F0TIN7LsDo21VG2fVZpt3h9s3un5R0Vdr/TdllT19DQugdmRI2f+bNl3y65HYZIQlm4rvjLb72OVIe45Zx+zpxo9+8OsRYyZ8kycQ8VRrCJlBFXUBPias5HgSUva9XUTCrPqXForhXigVrLe5hnmsVeTi+XtFNjhNlPyoZxLRlOtZP+FTZcRJ26SEqBaz8TNGWx2FvXnrWeOgqh+BIowYZqKhFGm8q2l62iuxeyzLDYy1guMnINVYAqr2rAN0k5zIKZkxkB7hNlTpo5oaCXaYqsSP0spOjOhYwtsbaqpmFayTe3xgqfdE+X52Xb5xgFyt/7h/DW+mU8SB3FkvHw7Iws/R7RGY/6+te//h71zHbOzQYsvZ9Z/trXvsZnPvMZfuu3fovDhw+n9UopfvVXf5Vf+qVf4r3vfS/Pe97z2LNnz93qBXvDDTec9dgu/fmtNSX1mQfeQ0oWPLMfLTus764z3RUd5MqUyeTFBYSyqYtY3TQzx+qavPPMb2Z+0bLoMr3If1U7Lu6XBJzrCK7OoHR8H/i4sokfudZoEssljEnMLRxvWm/zXFQrsON1nI2lMT/Gz/29R7Sjqr6Vysbeu3N1TtGl7vWf7fHP2jLrDIzOjar2VLUAfPuwPmF5IenZsX+2xNgsmRem45BtHo8OLqUamJSwFjCSoN1XK6lCzrWkky4WwsSdCw3HAhOtnMd6ee8jkgJKBJv3AZgPCUQnLca0dQkRJy3WUjnk+K62rE4sJIRe+SYNcsyhgWEBuZLxEwXjAOPjkfdUGwGENAYqBMIj6jk+3K9cQb8H+/oEAeOD4hrSxBPoocztZn+IW+yh9Ow/OJ3yxS/O9WW5D+iMguKJT3ziPeqZfejQIb7whS+k5WPHjs24sD796U9z7Ngxnv/851PXNUePHuUlL3kJv/d7v0eWZfzO7/wOACdOnOBDH/rQ3QIjvKeggJd8+pOsW/kidNTRlUofSTTlZz5CFd83NVNjEUH1TFwBxKTYlBlCeEG9+PhbKyMmuUQt17dKXkdzbOci2TsqFER4wDaePN/GX6k6cwmMPR3ayfoILhhPl+CbYLZNaRiQtNauzdzxbcX4Bgq8Jfm1d2JmKQu4c+5tPa9bFd+tl5v+dxomqk67OLPyTIx4J0UgkrXCKLpJEYpWIO5E25033W61df0MnUFqdO/RaU/eOVbZxCBvC7GtQzS8zeaS97JuZt0qYlVGFyagJIspN4IKCy4YhuJ6tE4QXr3zlN4xrhxrqu1jnxsTUmoNe4qMYa5DnwhLXUuHOxvSZBHbJqEXZ1rRVBVFnreWbLifUpcU9vVgg/+4cWG5kXe7tDC20EVpj9eWK8WwUCwv9Mi0T33FlZc+fS50ZzJKXNyZMgLL4wTzyRtFZhy9kP7by6TbX+OdQKA7R11HpVAxHBY8+clPPv0D34YiKOBOdFZ2ype+9CX+4i/+AmMMw+GQq6+++oz7PO1pT+P/396bh1tWlOfib1WtYQ9n7JkZAZkHEX9BcCCgghG4DpDIBdNGr0Svkk6IEyqKgnghoqhwJbnGq49EYjRxwquISjAGjBEUDYOAIND0dE6fcU9rqqrfH19VrbX32eec7qZPD7je5+k+e69p15q+r77p/W644QZMTk6iWq3i9ttvx1VXXeXWr1u3DuvWrQMAPP3001i7di1uueUWAMD73/9+fPjDH8bxxx+PL3zhC3jlK1+5ZEGaIoQAIIlTKDNTXiVzF4QViMW31oj+OWlpdjPaxwhnV2DQPTu3O3S5kYy5bIWqq5WwsQiwvACvaAYUlY10qikfkxHo+WnkHcKLatC+1DYuQa4rCshbDhpbx1Ecd1EocUPab3UtDZMCipZZ1GMmk8tkuBRpme2Bm80mBgYGjK87t1Z4j0uJF65jwbPQZUkVx2dTPTXyJCOXlVbY0frG7RXrVVxMaxdPcbsy5kIftIyqK2dnZzE8NGSW24JNO7GA++EuuW0mHDROolGx2XK6eG0Lw2b5rnDC0Xx21xCYk6acV8zny63rlH6Prvr42BiGR5dhtpNivJ1gtp2ik0ikmYKERmqMWcZpAhNwBsGoEhvKxjRoFp9pBZXaK5u5+2XH6XFqe+oLgZALMO5RNzdNMVQ7w+4kEs1OQhaEZmBKgXsMHhMIOEMt9FCrCAhG1f/tToJOptHJgJRpMCjKDgQ9k76gbCjf88AZQ6ZszFFDSYlYakjNoZERvbk5J6qvIiugozXamcbWdncvEVJSRJ1e8ejcGGPImHSp5lJqqo3wPZOGDLRSBS2lCaDTwxt4DNUgwGDoIQh2Ux3FDTfcgO9+97t45StfCaUUPvShD+Giiy7C2rVrF9xv9erVuPTSS7F27VqkaYrzzz8fxx9/PC6++GKsW7cOxx133Lz7fvjDH8YVV1yBTqeDI444AldfffW82+5MSEUvuKGYoRfUtq40D22xjaFZbAQXcwJDq+6gIZmwhSoGU/xTbELMtDbpqnDTxKLqkXZMjm+JjmVJBa15zkHVrEkSoVYJYalASMhTmqJgoJoJpokbHzrPPtJGCBkBxBkz1o2ph7CaidnYAiAMJ0me7moUEvIKW6Xp/DlISBCZqClqNDO3TFGcx1J4cDqsuYg0w8sKV6VLeReh+360l7rro6UuIeXC+u7o0kYZTAaZIUq0it/sZ10v80FroBlnUO2UzpnlChyaFawM3dePZF0hXc9W3xO198KdJGw9jVWkVskAcK6/gmrIf9Bel3weAgBot1NU41l4jKHi+zhkeQUDNYGBQKBeCcChMN5IsXG6hcl2ikaUEeVGRll8YHAxAM8qM8agjclqEyg06NlvSw2tMzc5smPljCZ4gUeB6LDiwTP8SZmmPhWMUyvURpRgusPcRMq+M4IDtUDA58SGyxkltbTjDDOJguxINxG0+3icI/QYBgOBwPPgCQGmJGIJ6nedSadUoDWklpDasBwojSQjRdJINBqJnvPkcPMv8KjRVcg4uEc9s5mRHXYMnNPvxFle/LuzsWg/ile84hX4+te/jsFBapoyMzODCy64AN/73veWZEDPBM+0H8V/u+67mJGhK7oi5leb3W9easYMRYRJuuNGkBZSUJ0VIIiwj9hiORH0cWbIBDU8IeCZYDJjxhxmLE+pFYDHOKXouYbw2tEeOzBSPlJan6jG2Pg4Rpctc1lGQIHHyWxD+dfI3zzTihLcZneZfG1NwltqDa6V6/Rlg4k049bOAuGmMYswvE7CnBMKmTO2vS8rKF2XLmwFlxEcE5MTWLZsRY/lA2MNdFt82i13m8xBP+uvd+PiFm57I2iLlfVFNyJgXCw6/5KPixY2ZmYwMDzk3DNW7xZuQZebsfs8ikVxee9lt4zBmUm2d4G5i+5aMTMRot8pKKrtRLvdQrVSMZTiCllm6LFBkpRqIBhCzlENOEbqAUarPgYrPgSAZiKxcSbCeCPGTJQgSRRSrQFDBcO5LRgVJluQiCWZub7OEFImpsCKzzbBhB8gfMAHEAQeWa6CJkTUr1shTTKEpu1dpjWgbad3mkBRHILqM7Sp8pbmPZDSFMMa7e0JoiehLnR07oJzeEJAZRk6kgoQbQsCmJohpRVkRlIlTiWSDKand39YK9JjloacI/QFrn1RgD/8wz/c7vv5jPtRjIyMoF6vu+9DQ0Oo1fqRmj0LwGzlNEcoKINBMI8Eu2Cml4KlUEauGLgCAy+4RmjmzIybQDENAQbNC0yvkto60vNlZrTKlPIroJ2ZTAqVd72ycQtbuW1dWUWKELtNu51iczSbu6docS5kulwLZqZUqGmwE2U6T7I6KAZDVdPMHnCOAwvQqSoU+ulCP4p8WmprMSxUQWjlaZiUyRJFGTZG012/Z7c1w3Tno5G/RHaLvuncrPBhWySli7L3O0bx69zfKmbftjNFFsV840KeoODuQXGsvX+K0+PCTvb5BGDSrAs78nzSU0QxbmL/WquLJiM94xQcHtOoiwAqU8YaNCmtjKg6Mq0w1cqwtRmbodKTIhhDIAQqPsPBy2oYqvgYrvkIOEekFCYaMbbMxpiJMkSphIaCZ/yDFXODBedmAgPXGlUp5Z43ew4yIx63ZqF+xboOPWMGZtDwuDYMyfQ82/RnxgEoSv3VLiOQ0sD9gGOAUdGhBmVgpQpIlEQzlphsmSklo3MOPY5AeKh62tRxcDNuClrHWYbQ95zL17ZqzZREagoNpdJIzKQw0UCS0XOFSKHRWJpknEUVxUknnYS3v/3teP3rXw8hBL797W9j3333xe233w4AOPPMM5dkYLsDJ6wO0AmWwbKUOmGmTQqoESrazM6oA5b5CwDGPymlRKxhOmVJE5yCa3xCPk5DxSG1e7lsNTe5deCmmNxQUHDOHcUwEzyv6TCuIt9QI3iMgUuGZYMBBONgTJguXCyPUbiZjDa+V6OMjBVBCskoADehzufv0maxKWVcKLzgomPwNHNxFohuuQxr8jPmTpjBKFmjTDmnGIfSGjOzKUaGF5+caBh5XphV2hm326Yn7bVrVl1QarY+xc30YZMNaFYrC/tYBdxVm1LQeC4WYu8vqI+yLCzrteuJdHH+8+w+qe6Pi9M45NOF4hLWs9aC9WzAQD0SEEuEHll9gU8xA50pKKYL7MOmfsJaYYomRdxjYCpDJ2FopRKbZiJXCwFGz3DgMawaDFELBOo+zZiV1JjqpJjupJiNM2QpXUsGTbN+n8M3Tn6pDL0IYFJ2lan7yJMypKbfTGLnKM1blxYyrhgjZlbStxoBJ48B05QQbidCnDMEWgOCIRCeeye0BiJpqtfT1NU0Adb9RcF4nzGEAUfokadBK0rVT1IGrjRC2wWNaTceKcnaUhoYHFyaWrNFFcUDDzwAAPi///f/di2/+eabwRh7VimK/9wQYVqOQZtgFCkKVSieg1MgDoUXyDJWWPcTZyb4W/D5C3DHFEnmuUDFBHAFN64X67s2s5TcPDX52NBOcCmtoTIjdJR066JIYzrtGBO6IHSUnSkZehDrjnDWQz4ztrxJVhByRsWBRBNiBLwV9oyUnzYKRzKY2hPlmGAzux7adQC017Kf3LOCSypAjE+69f3n4XMxz4R9G3emgXRRwBeOlweD0X395h0jLckSoKPy9Bjbbtb9JMv3pQA2DaRo4Vl+MQeeD6avVWOtucJIesfnxr3IRXP3JE3hMSBOFSItoSKytJVSYNBEo+ELVH2OauC5ALIyfUkSSe+YMJOmBIDiADNmS6YV0ghoJdJ1baTz4G7mPxT6WFEn7idfcGRKIkk1WmmGTqKQaerCqDVZH1XB4YVUvawV1S5wBnSiFJ7vudqMTClkpvOkNmm3GYic0gr+iCl3IS0nGrEt0L/A40g1BaYzRdeVa4aaqeb2ONGIc9AYo0ShkylEUkJGqZs4Cs7gc2YqyTmExxAKD5xRTC/JMrLwGV2HpcKiisKmqf4+YCQQYDpwPnpfcKrANKyNeUk/c8ym4AywvXGVygNWyK2EYqqrdbHYSlMi/JMuf1tlCtIW2lnp7oolDFMS2aoApxka7/EsuMwo4/O1rVeVqZYjtk5jKRmpXAyS6vww9Nf8pwufHayeKAi4gtxyxXbczc4YAs4hfKI54Yx8xnk2VTfnEFPUPKtar+Y62c7ydf77dixumepeVrQwemfwTJMCnAO94Fe3LLeLLHPVnMvj7k+HSVRD363LOZ10vsxeU3sMG0l/RtBzP+m556ShKUjfi8J1ZCCLL/Q9DBmWX9s3XUJToyFJnE9TrRhbmxksfTxV8VNHtkAIhL6ACH2yeA0DqouRaY12KonyI5OIM4VMKrQT4pFiyCiOxxk80LsKY23XAo56oKGYBtcMUivEhoo7yTIoULwBjN7FwFgs1ponS5Jcn5nmSNOUOtiZJkSZyfdVyLNiPUbvvMeAdiILlP50jTzOiAXWE9BQSGOGRFkri9qv1gNq2RoKAWGO184kOrFGJ8pMRlVsLHey4gNfIBRAJcB21ZttDxZVFOPj4/jABz6AJ598Erfccgve85734JprrtklJH27GlOxxHSWwAp1JxQZTPDRRAGZpaHIE0qdMDWz/G4HR8ETgdxVMfclhfMDM/MAgxdeUDdz6XYVWEFtwRmgMiDRxhduDsiZsVyMEuQcYIKWe4xS9DzGKLvCBNN9ziA8AZ9xhB7gCY5QUHMkwcmlZftWOAGOfHDMzMpFQbkyBUMYaIKfNuYD7dxPgpHLwuMMGzZswP777eeEu3Vr5NaItcC6r6fSeQaN7tqusH/BqqGsM1pg7ra7STm/ldkH+W8qrVyFuj2evd9K5a1qwRimplKMjAzSM2Y2corZPnf2uSrGbYr3G71f+qNLYbFcgVmrgxRVnqrBnPbV+RZO03UrmqmJGH7dx1Q7RZRlZC06K5V4w3wGVKoh/KKVDHJVpZlEJ5VopTYjgliLPWF408zU3TMp054vUA88hB5HxRfU4Ihz6pKXZmglGdqJREcqZKmEhiHIFBwB1wg4R1AR9IyaJItMK0SRwrSxQMg6lwUhrOF7AlUfCCsC0IJyF5kl66T5WpJlpi8GZXQpTRlNxcmXVTrUI4bMFCHyuaYvqDKRQwGao5GkSI03g2uaTA1VfHCuTQW7B6kkNT3KaPztRKHT6TedeeZYVFF85CMfwctf/nL8wz/8A4aGhnDkkUfiAx/4AP7P//k/SzKg3YlAMASKIzNTBfJT2xoJBgYBCNPbQeVFO5za1ZEANMKQZhBEGeyotUHBMyasD5/I1Bgj4c2ZJvJAziA04Hn5S8M5dzNy69O0x/cYUYbT8UnAjo9txv777WPYZbkrhnK54rpo8Whq9F5cZlJ4tdLOfHeEgMgzqAjaESMCmlx3IAvGUqRL6yM2x86M4M1swyNFAtcG3yloSEK32UzwaGPMpQEXU5N72XedK0fb7DPtUltJ48MIAuNOQ4HRiXXXR+hCtht6fgMstx3srNH9DM9dPVxwFxzVWlM6qBHONu04j5EzZzFZZdurD4oGlJ0Nd005GOvaJp+g5GMiq7KgzAoK1z7pLnZidrEZVPZIEgI1wTBa96E0UXRXPY6qJ6A5MNNOMd1O0IkzNKSCBHPGk2eeZY8zhJx6c1AyBaVsZ4oKyDLFITgxwgoOgDNEmUKUmpm+bT3JqKf6aN3DPoEwrii6vlGSkgDNMsSpRpxIN6nhDAgCjlHFUKtXwDS9fx7TkEwjTjVmOhkacWbieJmLWXIGCI+jYgLSg56ADjkV5YGynwTo2Y8yjcSQfGpFbiylqZ2sVcudVIFDuYxJozcodiEAMIEUGkIzRJmEbBPjruDEzVsLPVQCgTDcTRQeGzZswJ/8yZ/glltuge/7ePe7341zzz13SQazu9FONGIlwcDABYPPGJhnlQGoFgGmHwNj5nO3ALeCSnCWv6FgTlhRBTfAtckeMm9PMb5hBZkVIpmy7gAr4O0LkrlUXmUDpxIA05ieifFUZ8Kl7kplBbwNrhr3EwAFlmeNaEBrZfK/bdCPQTPtXGgoCBy4T/kM2ybhWIHtXEpuNpfD1XlY4V902IPcQq1MQkeZ+xXnfisOQcME1XPhXTxQ8Ws++tySYd079YlvsK5PzqUAYx0BTmmR8uHumEVF1owUVCM2z0NuZXGjxFhezdgz1nyx/V4ow7EXoNsSLqx2njhmzzy/k8W/XV7uLjMmv47MuEw9TyDUjPieGFFSpFIiSxkqvocVgxxxRsF/3/bKVhqtOEM7oVamcZyYuBygtHR+fm6UQ6YUpKKMQ6oEp3m61hqBJxB4HJ5HM3GpgHaUoeESNPJA8VAYIKiTIvM8hkwBrThDM5aYSiIwaDOZyRBpuInVysEQNksvpZcDDKTMOmmKWGrEicpTc01FNWcwfE8eAsFc+q3W2inKOE2RKmJRSJWC1Ka+CEVFotEAwEwFkYtlMipi9ATFQ2QmEUFByjkP7k7BooqCMRtAJTSbza7vzyYctiLELOowBrIzwAENxk0jHQMnoKGNUO2e/nXFIqAdPUYu2AGtMpeR4fzo9i9sEZid4SmXbaXNNK+LvtvFMWg2HsUSlazjhLUTPDaNx86kmfsKrhkUo4eC6iEA5hkrwTpciydpxmMFip2Vs8I52PHZYkK7vbVKAE6vgMoPzTUj94uA2z8z50rGGWV/uUp3+7ssr2HJg83ODsgvUI/ysHbD3Ke6cH3N566aiYKScrNyd15wCrmozDqZRiOLYd1MXdexMMLF0WfLnkXF85l79oV1RQvN3OKeOw2b/GBXxpHEZDoL3xcITZ9rwWgW7XseAp/SX0eqAXxD7KdB6bOhJzBSI6UiNXMTn0wqtKIMkRGcHhfUCMxY9RIKAkDGSCnEUQqlGbjQhu6DXDQBo8K5ik+UF5wBqdTopApTrRSpS6FlCHyGugccsKyOwYqAJwSiJMVEW6IZpeRSUhocHDVfmEQUmuQBAVk/SiHLNDKpXI+KJKVYYyeR0FwbOnSa+HGmwZWpozKZWiEEWU4+A9McyrqVtDZxEYWceZmuZ0tqqJSeXHuv4oWKL54BFlUUZ555Jt71rneh0WjgK1/5Cr72ta/hj/7oj5ZkMLsbzVhiVsdmVo089VUjz4ICzbi1ojoI2wnNznRhA9EGdubnioR6dIrNkKIvJtNonhkuzea4sz4AChKTr9PW4jIS7lmCmi3n58x1qCvKent4KwetILAKzSlKrd1U09JkaJAgZ7qwl9Fs2hbTWWVXUAKWqkKBXlRtJLR2lN06l2pWqXJi3cwHaz+yrkW5wVPsmdFjemg9d/t+YP2+di+09wCMZnnOqrSLzSw474XO0G4lGKyHxqWY06HQLJS7/a3i424djHAyVovT27nFkrvC8v0Y4KzW4uiLVoS9JtIEVu16247Ldr9TjitJYeukhF+roh1LxKlEKjNkmWUXTihw65nUWHNuRHOi4XOOwKPe0NRgKAAEoKTG6sEKtDbVzYqK0DIotBPyw3cyGpPvcXjCumHpWAzk5ulkErOxctmCdF2NBeIzVHyOqi9Q9ann9GTSRCNKsWk2RpRIU2xL7uCKL7BqIMDyeohKIJAphel2itkoRZQAiaRMw6ov4Fd8+KKCekh9xDOp0EgkZtopmnGGKE6RaqItT7TpxJdqMOOeTBgDlxq+eUmltgqFo+J5ZvJGLxR14gMylRqrnGjRl6oVw6KK4m1vexu++c1vQimFu+++G69//evxx3/8x0symN2NTGdQMgQY+U9toFeAZiseA5hH2To24MoZg2+a29qWp65/BQeYoUdloNQ2bgQZ0ZOzQiMWchtJ6Jx8rDhLVXZWZakYjAKzolAVZowMYBnHYDUwioi5lFxLvcxAD51AburbdFjGbAosM2KBos9KKYotmACtlvlM3wolaxzYFq6q4NzQRngDucuGBIh2Lg+6UnDWB2cMMzrCyHCVfqd4ji4uAvfjVl0WDKwFZul67kprDRQC4eby5puo4uY0MchUsTc6zQykuSfW8pTmmsRSuoQHO9O2LrvuwLtpf4t8+VztVqB9KY6zMCHpUm9sHgXJ+n6cs69FHGcIowieaQI0XK1iuCpQDagr3Gw7xWycopVS7UAiE2JnhXZxtJpHd0kwBs2oZobePcD3PFOcxjEgfIxUQ/hGGWfQSFKJTAKtNEUrlpiNUupDAWVYAbRLhqiGHqA14oziDp0kxUQjcb+XxgojLEEgOFkVHkPABWoBEfR1UonHtzbRScmSYaZ4zhcMIxUfIzUPVZ/auXZSiUacYSZSzvNSCz2qSGdVVEMfQxUPVZ/6jU+1Mow1I0y3E7QT6j8eGQ+Dzf5iSrnrxo0jkZn6Kq4EZZsxmASU3cT1BACvec1r8JrXvGZJBrAn4YDhKuJgELZPNmPakddZAaTcmwwANtRJ4trRdyCvzNacvlEeNfWQ5qDZFmdUR2GDdYIL00NYgHMnMqndoyZhaiudFTQFxVKacWUZVYRK00Nji+5geLjiOoNlMhdUWZoX+VGeuHYuE8uzpE2QmTFzZo4aFk4h2pkwYF0veb47KRpTlARTAQuT1YI8C4rRxnkarb0Zzg+iKclAmGthVrt5r7auv7w63WalWauMaFTyKbb7HZZnnlilY4umcgvO1pyYNp0aLo5gD2mLIAWjGhmKQTGXyFCc7W/ZvBFr9lsF2/jKkj3aiQU3v1bUf4zn3+meMGvI5JagvQ+q24lFjXm028BW4RSVtk0gkCYNLI9j5QobdnvzfG/cuAmrVq9GnEnMdBJMNFNsnonRlm1kGc14iQeKY/mgj6Gaj2XVAEJwzHZSTLQSNKIMcUp9JjJlaC24cV8Jqp+wKeDapv8xW4xHRWlB4GFZjUOYbDzPdM1KJdCOJBpxitlO6poZWX6t0GMIuAfhMTRlDKYpoNxKMkOFQ7GGUHBUfA+CA8OVAEKQ2ykQnJR+prBxOkKUUYaS0BpMMBOEFhgIOeqBjyAQ0JnEbCwxNmOC40ZGDFYCLKuHqIUCtcBD1acgRLOTYKaTYXy2g+lIopVk5MoycoBzusackWuL2qLK+QXcM8C8iuKMM84o+Hfn4kc/+tGSDGh3YmVNQNWrUDAtPRmVzxO7Z3dKpU2DNQ6WwsyQXsLUlJlSgMpmAdnKbCIrk9Cu/67SpqjObqtpuTSWAzVah5lPWBeOzn3ygIsPMM7R6aSop03ALgdcZhJZPBrcKCabB29ZPqkbGaUmesaCEoJBMAEG6u5FMxqbqZIf3xUlQjthyBgpKqpGpkAg0ZJopJmp69Aw1aV0Mo5/EESf4ns894BZ15a2NgQJWZjKc+u+Ifc2KSytNJgAtGJG+cFdOJuOapszaaMcKc1eQ2tjF5l8d7h3kd4PO29QOnXClRSK2wR2qjHZ1kinOiYTqpCyWpT2BrrPpyKKCa9WYTkFYo9fWG73sM+K3dieBTfULMK4ATmnpA7hFGKuxOqhgOdxaDCM1hkGKj6ksgFWyrKLUoVGFGO6k2G8GePprW0kdMGhlYInBGoVH/tUfAxXPQxUfESZwmw7RTNKEFlrxPTZZswoYK6RKo04yqAiiTTLXFYeQM9l4FHsxBMcgxUfFZ8jDAR8CDBGyqAZK8zEKSLTb0JqepoCoRFyDo9RBmTbFE3MRNL0fAECLhB4GqGxfIaqAXzOkShJiSGaYi5EX5Ka8TN4wlrDAgHnGKgwVAIBpimhZLIVI8kkMslhaT+WDdaw73KOqnHXMUbvTzPOMNmKMBuTay5L5YIy+5lgXkXxmc98BgBctpOl8Pj617+OtF8TmWcBHhiPMbtl3BWhwT58mor7rRsiFw+5GagYjJAxtgdjrqhOMDtPNFYHJzcWODfpq7aeAOCG0phzS+1t6gmYrX2gAkAuaAZLOdimy5jHXAxj8+aNWLPPapqxajs3Z8b3TIVHtjravmRKm77XBUoPDUOZLDUy01q1lah89g7jIoKdGXc/qMpkUGmw7joERVXamnEXt3AzXWYaxptjdyJqrWkFohPGDLnSAMCU7mqERLEQZgL4LHcZubZu7sLkB7E7MsDcVMAoFqbzu0/3t1uUWzpuIK/BcLUZZpvZSCKZjsyzVdjGPXD2ihaetT6xquKCruwnM+TcjUhjYjw/TK4sCneN59dVw3SmQ8ENpvPfVQCazRj7oIm6L1ANPVQ8gcCjOpwUClpqDFQ81EKOZXUKCGswBCbAFqUZmlGG2ShDI8ow3uxQxp5JT1WarO5lg77x+dNEoZMoNKIUnVRCcoUsA6qBR5TdgqMSUHvUNFOmUC3DjARSJZ0vTpvnweNUv8AADAYCtaoP38TdYqnQjiWY4pCSqrgZAJ9p04yJrJZIpshaFGhWmjrbVX2B0KfC0uV1nywSwZBKjUZENSdSK8RSot1MITO6YZ6JpYBxCCYpWyrwUfMprtGMFVKZuJoVwRjqlQAjNUZKNxQIwzaWAvMqimOPPRYA8Oijj+JrX/uaW/6+970P559//pIMZndjZZVjJKybGgVyF/mCXEXCgyn+4cb3aVJjoZ2/XHBDJGj2sW+WL4i3RZgX15rw0nSIlyb+wEAZICQ8jQVh6LsZrHuH4htUm2AIwjLD9QLKkICm7Jp2LJ1/gmb8cEoPIOUgM9PuVSuTiUVxEwmbmZX73W3uvRPs2s6kAWVnUmZ8lMJqLC6jKGBM5NzC4eBcUZCOMddv23MK1NCYR7NYNlwp+OGtK0SZ72R2Q3dnVtnxFmlCrNCzOsMpLvvdZNjkWWpFhZhnPXF0Jy1wFBIWemCFMcW7tJux53qJuWMYGwYoHN3eA2uVkLzLg/s96ip3z5k4h4J1V9L9dyPXEgVd162cek7AWiB2+0hqjM0m5hcVkdsZYck5MagOhB4GKgL1MEDINFKtkEiKxYW+QHXQw8oBGIYC5BTcipoONTsZWqlEI4qIqVgreKaHbsXnqPh+FydSlEm04gydNKX6HBARZ93nGAgD1H0fFZ9MrE4s0U4zdDKNqU6E6VhispM5Whx7ntRalaNqAvOMc4o/gdJ5bTor4xoBSFForRAlQFNJbJ6NXWvh0Bem1oTqHlbUPdQCH56g2MZsJ0UkFdUuKY1mKtGIKZ7lcXKJapPd5XOqyOZaQWhu+m8vXTbqojGK2dlZTE5Ouq52W7ZsQbPZXLIB7U7sN+RDDA1CQiFNlfPbktBjSKSGTFNTfUk9c6WiGbpWtjcuvZo26VI74WlpPnISQQ1QNJMx51t2HfWs4gAApV1ze6UBLamugZmGOlY4cTstBEOrGWNDNOnefkeExjSY5sZXay0BKjQCM4V/YJQCyIl0jAsK6HNDOghj8bhiPm7XG0ccF4Zt1mbxmAbzjEGbOg+rPOxLKZVJLzTWRioVIkkWTjNj8DtZTg1irpOrOQEc02YulFm+LYr72WtlV5jtWKHewVoprNs9hMJxgKKALsy+Ya2qXvFNGNcdrFxZn3PU+YR0Uejb50EXVuTpxnY7o+DyDXK1Y5UoupVfvr/53ymm/Hh2rZ0ceGkb1aqPJJOIM3LT+YIh8I1VISVmOim2NhMo1c5jI6BnpRpQpfVglQrklKYZutKGqtsPMVLzIRin2gybcgrq7NZOFKJYopPQBEUqRbVLjGGg6qFiKL6p4RBtPxUliBoKSWbjb0TRXfOB/ZfXEPpk81ORKPXX7qQK7TSD1ECSSGidGcvbxjG4mQCS+pVaAy6V3WZ5MePSo/WNJMFUIiGnOkglKWvf0JlUPYbBiocVQyEGQw4wgXacoRFLRKa1sdYMSZphtqOADlmANvNLOnfIzsWiiuKNb3wjzj33XLz4xS+G1hp33XUX3v3udy/JYHY3NjRStNuzrsTfNoW3Lz+9VFYJwPjOGSpGIHLB4Nn9jBkpzDpomOweDsZt3MF4PzjlFtnmNRqWWVSbCm+4LCtfWFKxXMBZWEvFYxwbN2V4zgH7UQohz/tb2ACY3U3AZB0xW/RkFVKhQhuG7VYDiSRuqiSjqtNUkmuJZlaFKmtop5iUArVA5aaa3bxc9poJw/FjLTmqRM8D3uufjHDgQdRG1830rQuhICRtASEAN2u2gpAVZsO0qFDHYLbJhWseGO+iPy9sW3QPFYVt0T05RyhroB1wDFeDbuEOk/hgl+n82AWn0xzXUW60srzor7geRXcT6wqC54qUFLxFsaWve0aMi0+YxA4OhqfDFp576H5IpUYrTjDWSDDVTjBjsndSyYyAp2r0mu9jqOphOBRgXKOdUF3DeCM2faA1MknFroIzVAOOiscRCpFbcsZFO1T1sXJAQGuFRFEP8iQzz6QyAl5JRKk0z7Q9D4ahqofQdMvzjcW6cTzBVCdBZ1ZTfEBRQWxg0mhXDQaoBgIajPpXZ2SBJ5l0FpqdAGqQmzaVyrQDILe01hpJbJikpQIXCkJQnCcURPPIPaIn3zwr8cRUZLwDJsPK46j4HIOhh5G6j+GROsWBEoVOKhFl0sQgl8aqWFRRXHjhhXj+85+Pn/70pwCAt7zlLTj88MOXZDC7G4OBQBAGpj6NFILUyhSAwfiqmfPtamYLfUjLK6mRkE8EeWKodM2BXBzCTIFtbEKYaLDHqedDwCgnnHMPJDp4wa9uAuSW+kJbdwnydFmtsbUlobc2kWlq50qpqnAUA1rlcQP3aCn7OXd02OClYHlVOTNShLiZSCwxlqemMsZJ8VlxaQKQ3Aprnbtx6GuBZh2FjCWjoqcmY2zWE06ysryYozAz187CAFBIDe1x88z5W/w9uP1tEN6KUxsT6RXQJOSRS/2ug2DObzdiiWo7ce1PYf7qwq7FM6IP2imRLkvA2g6qqLZMPYTOD2pjIEVLwfY0sQejcK3KXW1WQerchWe/QwMzszEemH2akhk4Qz3gWDYQ4pDlI1RzYKgkGnGGyWaCsdkYk+0EW5oJVWVnGWIzs/c9jpGKjxWjIYYrHsAEopS4oFJJiR+J0sgSck1Zi9LzKL0bZvJRC2jW7okKtFKIpaHOyCjtVGpNFcwJwLmCz2mCJLXGoO+hHgDcC4mRgVHFdCeVmIklxpqZo6LRmsHzNKqeh4EKR933jNuX6j+E1AiVNhaLiTEaSg+pQW6vLM9UbCUSmSSLWkGBa0ql9zlDJfDgCU0kgYIhSiUeG0uRSEmuaU3nHPoCwxUfPbX1Ow3blB575JFH4sgjj1ySAexJeGomQ5M1zIvtbIhCERQ3zLHIW2Lq3C9v+3prt7ehStBGcJkpmrapQRpQMMyxZiZuyQY1U0bhsC73lTZuqoLvAY5jSVsPNUOrHaE2O+6mhY63yM7EOQMM35RhRSiwvvKCkLOzdiuajCXAzC/ZYxipygvXjTG49GIA0KYdKjMXxb7wdmP7veARAgPDbCLBmoldQOO20rXo79e5EgOKr4wuHJOh66N2m+fMTgVhnSuHbqeQXVZcml+/nu0K/8eSBMOcY805dveS3m16ty1u4fH8unJ3PUxGGM+PZ1OErVLsVv4w2o2sPDqYuWeaYbNoYf/9h1HxPGRSY7pNFsWmqcgVoXmc0largcBIxccx+wxizXAFg1UfgnNEaYaZVoqNsx1snumYFNuW4XMipljOif5ipOphxQAVvXEGeBpIQbUI1qVr3ZbNOCWKHGNJ+wHHUNX0azExwTRVaKbkukqkxnQ7Nc8PnaPgAr4API8qsocDDuYxhKZTZUdqtOMUzSjDVMu4o82755tiw1AwVDwBqYjKPFUUlBamvqNWDVDxGeqhh6ovKJMrzRCl5F4jokOqVk91ajIx4eJ4geAIAqJY9zlNXJeKNWNpGKT2UlQFoAXN4ik2SjdemUBvZkr1ldYuTqGMYIcytQmAC05rEL1x0c1QIOF0L7mxGdwLz2zhHkAvr5vdGoHDbFGfEQam9JmWGfcAZ/AC3xQLUnorM0JeGIvGCraco8q62YqCh7nvliBOwGR3WcHDipxF5phFCWwEMmdwKb42lZYyn3Ll4q4VywWWjDhGajl9cnHyrqwSKxSu2Zar1tKyvn3rJ7czdHuy9t3SzAbG7bQaXfeuy1nV87FfENsiVzoMjU6GbDYqLp2jKWzguLiYFf8u8lsMMArU2kz2uLmlWLzLpCSMMjWmGHM/lFtqTDM3q5hqKrQ2tcC5iU0ID1VPYLgaUKDZE4bvjGGmQ5XMmzZMI/kdTXo8Q6VdDTiWDwQ4Zs0QVg5XMRAKmigBiJMMW5oxnp7sYHymg4l2gva0QpxkiM375xthXK/4GK5w1AKBik8khQrkrlWgNOwoUyZYrABOLqxl9QBVdLBixSBVRGsgyhSaCVVTJ5miWKQR0kopcE4p477HEXoCtYCSXjyPGHMVY+iYGo5GJ3bWvOdcqxqhxwCtMRtlmGnHkEYQkHNaoeILrBwISIkEHkKfAtbNmGI/7TijXiBphmYkkWUKQmhIWZ3/4XgGKBVFAZHUaMg0fzEAV7UceHl9gWDE+upxk6kDQ7lt6DRCwQ3nPhUGeYK6bjHOKOVVAAzCVP+aYjvTk4GyG3IfvjC+evtCE+tonhdjX3lXJGaCvL999BFyETLDncS0qwPIpAmga0uElv9VyhCUKRt3sBkzRa95tzWQ5+/TRRMszwhDYTsb8yEfeH4cMEt9UVCKRlanSuHxx9s45JDVBYWWKyDL/mrTRO01yP1UufLqtlaYM0OYeUldZo8Rmraw0HbdK1oaxeNYhlqnTLVzCpm6jVzvPPzIwzjiuYf3F/b2hhZQ3Hfe7YsPgrlurq+3tq495FapYfG1693zpHO70SlP87+tDbDFeY893sLoqlHMRjFiiuxSkDnOMN3RSDLleMUYOEKfY3k9RHVYIBBA4HnItEInlphup3h6uoM4nTTPJlDxqDJ65WCAQ1cO4CWHL8doLYTWDO2EaMWn2zE2T8d4erqNrc0EW1sJkjRCbDL5AFIkoRAYrAoMhj5GKgGx9wpu+j0wdGZJoXRSsu455xithVhRqzilKc1EMJMaiZJoRxLtlALpWSbRSYDEvFfE/EzKsh76bnKilALjHKkkDijqj0HHFYziIT6nCWYiFbY2JbbMRiBWBLqWHqcU4HroYd9hHyM1qhEBGJpRhjCM53lYnhmWVFHceuutuOmmm5BlGd74xjfioosu6rvdnXfeiSuvvBJ33HEHAODpp5/Ge9/7XjSbTQwNDeGaa67Bfvvtt5RDBQCsGvAwWhk0CgKmVy7crL/YE1sAJOAM9YWjwxCWMpxm9lIDOgMySPfQ8YxRJy+mDQ+SaVAv6WGSgPlsrBQjyDVyFtiihWmFSWESiInJDn7T2QC7iMZMbiKrfIjqIOcF8lxFMikv6zKThnohy5SzpKhPMWV9KdMtzNZfZCoXQNZcsv54OwawvIDLNS0qnA9gLB0ObB1PsVlv7fLTa8AIxVyK2nvUZXL0omDksPxrjwawB+v+awPGpBB1rgBhFGBh5t0VXDaKD5xhfEuE9WqLsyxtlbir+mb5APLTyBVfbid0b1NU4/kYu8dgN+i2VFjXMlb4v/jrXUkT0JiKFMI0Q+j5qAbEdTQQ+lBKo5OZ3hAJJTtwALFUiJIM00lG3eNYRFxGmhRy1fewok7Ng3yPQ2WUStvoSPz7b7ciyaTJiqIU2YFQYFktxEHLa3jVcftg3+EqaqFAnGlMtcgNtnm6g/XTbWyajjHVjrFxJkIiO0gzw2Klybev4gyilmGw5iMURCTom0ysVkw046npesmZRtUTWLE8RMUX0IoURJxKxJlEK5FoJxRczwCkaeaUNeeAkBoe46hWPfMbtC5NFaIsQyIpqJ9Ihsz0xhBCo8oBT3hIZYZWxNFUKcYbHXAGKFCNScUTyPbfxTGKE088sevhcA+J8c3/4he/WPDAW7ZswfXXX4+vf/3rCIIAF1xwAU4++WQcdthhXdtt3boV1157bdeyT3/60zj77LNx4YUX4uabb8b111+P6667bnvOa4fwwgOq2P85B8IytVJGD9yMm6qsTUWxKVhLbYGayl9mZ7rbiGrRC2OFBnLFQ3TEzPl0PU51Gp7pqEf50xQsk6DAV5IRfUCqiGOfGqdIJBkRlcmWwGg1IAHeI1ABExPRRO8B2KrtPGBdVCoep8yMoBIg8Jhpz5h3/7PBukBwYu801pQnqO5EGAXEjRWTV2UrGrfUFHCUypwbLZOmTuLJbBYHHTC66P2zCqQruGyFoM63YQwma8oKQTgXk1MeLFdKpIjzWgayzEzw3TL5Gt+X0iCySJ0TIuYBZ0DOCqweDABTc6AK63INkPe6cIpAd51Sty50XrJCgJrlx2TocZtZdVAYJ2fF5fSDRQvMOrGs1RUKouD2OTPPosTWVkzZ3qD5lS/IFWSbUAlGHeuihO67s2I0KMicKmogBG0mJ1TNHHoc9UCg4nuoBxwSQJRIxInEL5+awl2/3YrEVP4zxjAQehipBThwtIrnH7gMBz+vhpF6AM4ZWnGGrc0Y440YW6Y6WD/dwf2/i9FMMmxpxMgyiURRqq4QDPVAYLRCxxsdDDFYITqPRJISme5kiGTmJpSVQGCkFqLqE9W6zxkSpTHdSdHsJGglCrFp2tTopNSYyEw6PMExEnDUwqqxLqhNajuSaCQpxW0UR6oU4sxOzACfa0qMUQpa72JSwO985zvP6MB33303XvjCF2JkZAQAcNZZZ+G2227DJZdc0rXd5ZdfjksuuQSf+MQn3DKllKvV6HQ6qFQqz2gs24pNDYmpDTOuuMW3bh+WCxCby8PBoJiGDw7t0bIsUzSLsA9bSoLcxiyo2jjn0ZG6IJ0K4AVJ4FhGOeBzgcBjjnkz8CmFcLjqoxKYHsUBzYh+KybxgucfjMAT5AoyabXbCmvNSOOOypy1QN8TqZCk1FPA9j/OFC1rm9z2fuAmnsFNVWzFCJOg5hN/jyBm0dD0CAaA+9QYTjxhv55UT3t9epbp3guaa2k7syvqTLss/wwXEHTWS99ttNtG6Z66BZ27i+zvWQPwv/RWHHP0Pl3b2Gyj4piKdOb2d/p9nm9hUTH0uq5c8aQuuKhU/tmej82ZsBlSRXcWm92Cuu8hUQphQNeeMuxo8uF7DNUKuVAzU+cQK6o7CH2GwOdg4BDc0GcrIJJErW0rjy1NDmPUhwFaYbYtkRoNqAD4nsCoz+Ex8z74DLHUiOIMD2yawc+fnCChap6LeiAwWg+wZriCw1bU8fyDl+Hk4Qb+vxechHaSYbqdYqIZY7pDM/b1Ex1snOlgcyPC41tbSDIqRpUSCDyGWigwWguwshZgdCDEcEVAgaERZ5jupNjSziChqO91KFCrCFS9Kk2+fHq+m5FEM00o1TUmttmtOkGWSvPc0PUNBMOKwQoGQg/DVQ+CM8RZhtk2Bb2lsVqWAvMqiqKr58EHH0S73TbCTuKpp57Cn/zJnyx44LGxsa52qatWrcKvf/3rrm2+9KUv4eijj8YJJ5zQtfwv//IvccEFF+Dmm29Gmqb4p3/6p+06qR1FJ9NIOraxuQlImypjO+P2OXfsl4Ln9Bm+4SOqCwavGpiXQaDicaI2sBw43MQhjAIQfNuFdz+4GboR6iTYgUQzTLRSSJU4Ae9I4DTN2GyarVMCMueXYiaY7JhljUVgxyxMNorvcdTDwFgeJobDC5ky2wCpLGUIKaBmkiFJyapIpMQjEwnUk1MFCm/6oLV2ZIJFFxIpdbtNHqx3uzrLiZbZ4+Zd+pBPDgrKtd+y7YWRvbnVCVOfsI0o/r61hoqK041zgW2sldC7rKtdKiu4pfpsU51dj+cfvy/ijLJzIuPfT6VCK06RZHQvUykRpwpTbSIBTDNSJFQcpxBngKlEQMAZarXAkRMyRtZbnEp0TL9rYkklZmWuiIAvNJlN0AxRChAfmUANDKFHjYN8j57JTJH1+tTWFh7YMI0oAyanZjD44M9RDQSWVX2sGa7ioBU1HLvvCF5x9BoMV3zEGVkFpEQSoiWfjrGl0cGWmQiPT7YRbZlFnOaJ4YHgGK56GK0FGK4GqPscHhdINWU10XNO5xoKgVrNgz/EqLkS5+QtkArtiLr0tdMU7Vhhc9zBxum8eZcycbZ6Rdi7u9OxaIzi8ssvx49+9CPEcYxVq1bhqaeewkknnbSoolBKdfs1te76/sgjj+D222/HF7/4RWzevLlr3/e+97248sor8fKXvxzf//73cckll+Db3/72Nr+g999//zZt14sX7FNBpmcMfz7yojBThbxNkOZfgQ4rARAZF5DSOdGfNP7+TMP4/HNq6i7fc8HtYDmY8r/d66yrhDHgnl/f74SBE5ZmY4/b2b1VCKbIDUDACoyimlo3agVkxlUllXXHmb/mnFJjspPbqDBOnR8vdwHpnvPUgDaNXTQc95D13T8ycX8+m3dXdq51AHTn/Rcm+m62b7/rnv2K4yrsOufzM8V3HvnZDu87ZxwLDEzPs5E1WLs75JkPPY856/NZg2J4//zgv2FZleqPyDXEUfOAms8MpYelXweGAQxojZQZckZQwnYKjUasMBVT9TTN/o2Frqh+gjjTAA9EpSOMS1dqqqCezMxrp8idxRmDkgAXmorrzHNt07gzqRErAEqjCoaDRzz4rA0lgcasxpYJ4GcPU28LYsWgCVA9YFhREdhnUGD1gMCBAx6OWcXAVgHt1EMj4WjGCs1UYaYjMdFOMBNF2NDU+G0mid1Z0dgFYwgFUPOAgQrxQtmLmxg5wcwk1ePEkTUiGFbXmUvPzZRGqoAo02inCmlbAxjAvffeO/9DsYNYVFHcfffd+NGPfoSPfOQjeMc73oFNmzbh7//+7xc98Jo1a3DPPfe47+Pj41i1apX7ftttt2F8fBznnXce0jTF2NgYLrzwQtx44414/PHH8fKXvxwAuayuuOIKTE1NORqRxXDsscciDMNt2raIH/z7f+I5hx+Vz8ytUC8wvdoZu6Xp3lbYeASQm/y26sKTCp4VyNoGLClLSToBmhdW2Zm+feA4mCk6ooC0BvDII4/i4EMOIyZcE1zOeyaQ9ZCaz0razCfqOOZoyGGYbZWEVJQNoqk1GAkLATCPPOr2t6ucYcDVNhiG2cIs3V5TGyTIZRUDM0V5tppcgMgPn3rySRzynIO6Z/MsP+42Xf/CfbBpwl00H1aRGmvDph9bK8Km/9r1+XLuemsAhcrmgruSEh4o5vPQAw/i6GOP7prl22fDZXWh0HiIddeXFM9jMfQqva7v1g2ncmVr41bF7GDXJ10X9tMa9z3wIAZXH4ANkxEaSYbJWCJJJZTUCIRALeAYHQgwWgswGPrkdgk81IxL0RemmNVYcUpr08YXZM2a65hJialWiulOjOk2+fWjjCq+U6mQZhqxzCAVXGzPMhckmSJ3VqqM5cwgOGUYDQuOUFCHu4nxMey/334IBUcqNZqJRJrR2ALBKZWVEQ35dDvBk50UDzYk4jSD1ETRUa8EWDVYxYHLajh8RR0HLKth+WBIVozUmOokaEUZptuUnTU+G2FsNsJkO8F0O0Ezy4thhSD3XM33UA3zDoKppBRfgEF5GkorBIxjecXDssEQK+shgmArTjrppG1+LyziOF5wgr2ooli5ciVqtRoOOeQQPPLII3j5y1+Oj370o4v+8KmnnoobbrgBk5OTqFaruP3223HVVVe59evWrcO6desAUJbT2rVrccstt0BrjTAMcc899+AFL3gB7r33XtTr9W1WEs8ED43FeDje1CUUipMx62+WZhovAcD671HwK+u5szm7ipnZu6vyhgshOrZZrS0NBqDNi+uOyYrCojB4M2tXJgCyZSzGU9kYsd7Sz+VBWZ1bFnac3ApIYfo3GNoQWzkuGG1NAXfmqEmE8WMwoKv3gp29FWf2zFgwdkYoTAFU/s8IxKKLBKZ5C+N5Kqe2gm7bi4sYbMMnuCCyvS8UQ9D5Ne610gpjyY9HG1LnEYBxs5NNqUUhGFzA+q0Jmo9PmMpsSgfjGtQdkNkxMPPbyv2W7aQImPtotqKU3Dz47VxGdr/COrrP3Q+N48zqQR6676+QNsxmOGQ5cPDKOkZqPtYMVbBsIATXGltbKdZPtfHkRAubZmI8lrSQpkRp4XscdV+gXiHG2dDE1AKPGzctFZL5gqPiEw/UisEQq4YrXRXs9q+tc2jECWbalDY720nQjBU4k/A4R8wk1UAZlysAMK3RTjX1h2hKxGMtkwVFaa2hTwrMM6SDnul77QuGoYpP/SY8w1arGGIpMd1O8MCGGfz08QlESQYj01H1BZbXQ+w3WsHBywZw0IoqTn7Octe1sZMS3chsJ8PmmQ7GGzHGmh1MNRM0YomxiFx5wpCRVn1halA8+FwjkRrrJ1pYP97CkYfu4n4UFr7v4+c//zkOPfRQ/Nu//RtOPvlktNuLU9muXr0al156KdauXYs0TXH++efj+OOPx8UXX4x169bhuOOO67sfYww33ngjrrrqKkRRhHq9jhtuuGH7z2wHMFrlGF1Zh5vTM0Z9KExfXzvTA2DyrfPvruq6+IIVfbuFbWh7yxhlAt3mJcgyUgyUZaVyP6ThTbIxkyKEoQMRgmbh4BpPYhqHH7bSCXY7HMZo5uWozI2fyo6Pc6sUkDPeLhBHsbNtwe2+1l3XHd+wvE2C23ZM6IqrdP3TeUGjVBp+YyOOOXB0R27pToHtUwwUFVVOO2LTlclVp7oCwHY/S7mSTHk4YHnd9C/RLujvEhvQ7R6DnfmjsKywkS5sX1zm1hUnKmamwZhdy7viLvb5gH3O7TPaY1VxAFMVjpGaQCfVeGprB7/d0gSgwU3VMWcMw1UfB4xWsWqoguUDISoex0wnxdNTHWyY7mC2k2BqJkUmFdUmeQIBB2qBB0/wgrVJ8Dhl19V8geG6j3roo+pxDNYDLBsIgGVAqnJLn5iVFTgD2knm4gITjQTTHaLBiFKJuMExGHiuIrwdZ5RpqCjmoo21HHoM1cDHQEBNJaivDLmCfCEwVCNK8QMEQ0UIDFQ8+EyjnSlMtRJsnUnw6JbNxHCbSWjNXBxj1UCIA5fXccCyKl5w8CiGa6sgmDBWvcZslGDjdISJVoSxmQQznRQNUxUepeTmr4ZL090OAJjuzZvswX333Yebb74Z11xzDS666CI88MAD+PM//3P85V/+5ZINakdhzacddT19847/wH6HHF5gKSWhLMxszza4yQvVFJIs/5tKZcjNaPZk0S1cuv3zwpjJvifgMbgCvdCjDlm+Ry9e4PFc0BoBPB84Y3jwgftxwvHHddGbCye8c8GdH3OuO0PrXHBvi0DfVkdc0VjjTsEWfzjfQCqJBx54AMccc0yXMOsN1jq7rKAQ2Zxl3Yq66MbJj5N/x0LbFNxP6LesZx/72/fee+8OuQZ2ForPYFcRns6tJ1v/onq2BfJn+b5f/xpHHn0sNIAktZ3kJKI0Axj1W8mURieRiDLDNqWpmpkxZjrHCawYDLG8FiDwONpJhs2zEbbMRBT4lpQ1GAhiVK1XPHiMsqg6qXITLJtmzQCiN6/4GK35WFYPMVr3UfEEtIZJJ1fuOiQmN/zBhx7Ccw8/AqnSaHRSTJrue1FKfbpn4wQzzRQzUUb05cZEl5KOY11Fdd/DaN1HLfBdbA3m3pNSISu9IgRGa5SlGGcak60IY7MJJjoJUasnGaQiHqp6wDFaD7BqsIL9hqvYdxlZbgOBj9Cna9mOMmyc7WCmleIgvQknn3zydj8Xi8nORS2K5z3veXje854HAPjqV7+KRqOBwcHB7R7I3oBNzQxjT01RkBkFx6x5yT1GrhnPpM4GnoBv+uuGPsdA6MMXPCcrA3PeCOdvdvEFbai5mcuooqAzK/xlLs8cKM40dVdevVIqD4abLKjZWGHLbJRbJ4XMou0BMwKb3BgFFw5DocaARlWM3fR+dnQnJvZjKTqsorLXJacvJ8tDCIatHY2NM1H37Ll4PQr+LXtd8s30nP1sbKR75t7rv0d+lH7HtMv6jKf3mMXfefKJDh7Hhm248nsuGIAnx1JEg9PObVQPBPYdqaAWeKj4HFKDeJikwmycYaadohmnkAqOtbWTZnhsS4qHDUOBzbQLBMfq4QqGqz5GawF8ATRjicl2gpl2inaSIc3o2nqcYflAgBX1AKHHkUigFaeYjciNE2WUYZQY3qjApGOvHAiwZriKkWqA4ZBh+UCIOFMYrQU4cHmdJntKu+cemtxcM1GK6XaCTirRSTLMtBNMdTJMNhLMRCk2z0YwjGZOifiMmhmN1HwMVXx4FWCspZCksXmHNOqhj5F6iHpI1dxDAQPjHFvbCTZPR5hsxnhiooHWQ8rUcBFbxGDFw7J6iBUDPvYZroL7u7jg7uqrr8YHPvABvO1tb+u7/m//9m+XZEC7E/sOCBx88HL4XsFtwo2rxs3M585Ut2VGaddb4WnrEyw3lK1qTgtC3Rp7xcCn/bnelFCfU9GeXToYcCyrm5mBmdnY42U9iiP/252qSkqFFCPjtnI7LwK0lohNl/V47s91wp51DcGl6aZKI3MplMoE15UJqFq3TSGPnve4SVhujfDC9SkGgIuuEsbYvPsXrY2iNZJbGIusN//1u/8w47fmya/STTjhmNVmef4cke4tprl2s+G62WnxgbXWWK/LqcdP1eV+glVw3RavrfQvWhWOAUBbVuI84O3Pevj/nrMMnqAsopl2iulOiicnW2hGElIrqvURHAMVDysGAzx39SAqHgWy4kwhSiVahrtotpOinWbGbQV0kgytOMVTk23YpAit6RkcrYUYqvqo+uRybcYSY60EUSJdmjdjzFgsFYzWfAxUfEBTc6MoVpjuRHhw0yzascRvf9fBQ/HT4IzeoXroY0Xdx/KBELVAOFqd0BcYrPrYd6SKzLQ21ZridlJpijPEKZqdjCwso1QmWwmmmuRyi7MWPdOcwWcU66uF1K61HggkKad2qKawlxqhcawaruC5+wxguBpiIKCEalskuGU2xpMTHTy0qYVDjlia7qPzKopTTjkFAGUd/b5g/+EAJxw4AgDOtWQLyezffm6Y7XG5AN2KwwpQFwhn2qXnphL9XT99xgCWU0F4jGFzM8XIZBt5j+y8F3IeMDYjMMKUAqQa3Dq0GXEtxYZfP5PaXQMAxQm3+dudrmphW7Y6JcLJCrNUygBczMTubwukYFwf1uQvukqKsQEqECtwFml0uUtI2AHQeZ8NW1TmuvgBLnZg99GaGlOZXV3MID92QfBqS/teFM4mGM7oXDZtauHe5mOgIHh+sYpBZmansY6t1SoqmnWbTzCLzD3lXfsXJxFdz17Pgi6lhoLStccpWLu5kgR+N5Fi4v7NkEoh9ATqIRECrqxXcNx+IUaqVCEcZwrTnQRbGwk2T8+iEadITP/rQAjUQw/Lqj4O3n8Ig2afTJLQbUQpZtopZqIEs50MjMHRasxESYECxjzfjKhAhioCoeBIlEIrVnhsa4uUByh2FhpG2+esqKPuexhJx/C84/aFlAqdlOpAZtopfjvWpD4XkirPGWOoBx4GQg+DFQooe56AJ4Cq7yH0BfateJCD2l1pDWJYSDMqRG3GKWY6pEBmOsRXNT4bYaqVYsNUm9xZjOqziDmX6MMHAo4kltgyE6OdUC9xzsjiHgg9HL3vENYMVRBibO4LuBMwr6I444wzAABPPvkk/uqv/qpr3Uc/+lG89rWvXZIB7U78cnOER/7zSfe9+HK53BcGoEsgEn0H+Utzn660szRtUms1DK8TCRTGYdg4bcDQFPWZYwI0W6Jti7knNA7r880pxqlsyfYieGoqQ/T0VL6Hzo/gUkONUOAMYIJSPW01um/pOzwOARLwAWdgzIMhyzXpwjBpvDZ2kxPOAfZakGssVaAcYADFQpNi1lMxBmMD43FGhHP9YIUYQE2j5tw8WAsjF37F9FbG4dx/wuzHWd65zyUwMJs2mx9H8Dw1liwYsnqK+9l7qkH3/r9+NYPnnXCoe57ynKo8jgXGunpHADlLrotx9Vhe2zpZeaaw5zPQ2YyTjt8XYOTrb8cSE60YY40ID22aRSvJoKHhc6qvGK55WDFQwXNXD2DZQICBwEOUScx0MmxtRHh0SxMNU4AmTeJIPSQhedDyAawcDBEKUq5RpiiWYFxRs1GGOJPQSiNJFabaMVkHHkdgFEMg6Nmq+QKeYEhShacmOoiyDE+OxWg9utWM08dA6OGg5TU81/e6PAZpKjETp2hGEu04w2wnhtTaxSk9zhF6FK/gTCDwAGjmqEBCX2Co6mPFQEgtXZGnRKeZwkwnxUyUYqYTY6qZoREnmGyRxbClQX01mClsDT0BXzDUAg8JB7bMSEy1E+y7fBdbFJ/5zGcwOzuL7373u12tT9M0xb//+7/j8ssvX5IB7U7MRhIz0x1HvEeC2KxkzKWYAtrNZkgw5DTbguWU4fYJE6BMIi1MrwnkLzm0RqaVmR3SS0g8SxT84nAJmDkhISNCPxuUJmI5Ri1Lzcy1XefYf7TW5VbSNnZg+glLM0U2IQdomKI5BRAHJQOIAJkEo3XHMTjB7gnmFAyx3wpz1iyvcAcrxCvy8eQ07YWalD7ZfbOxwkRrx1gxrRUA+6cYizD/91pBtF0+5S7WHzDMBTfXnCyHfCMXz9T5sifXd/A035Qfp/fAzM0l3LNnd3dxrJ5R9HWVuXXMPVdwx5mb9Mr6nVgfvUtVwMBjEyn0kxNOyYe+wGDFw8ErAhy+ZtDFnpQGskxiupNgqp3h8a0TaMUZMknMrgMVD0Ohj9F6gH1GqhipBagFxHPUSRVm2gnGmjEeH2siyiRZI6DkjoGKh2U1H89dNYgRQwGTKuoVP9boYLJFLq1OSjTcqdYYl2SZVn0P1ZBjWRBgKiRmW08AUMBUO8ETW1vopFTYwRkwUPGwsh5iuObjsJUVQ4lDFqglBYxM3+tWQo20OyllwIkMaEWZkQ/MsTPbdycwCi0wHexW1AMEa2i54Jbmg4Ls0+0UU62ErJ5OiskWubSiVEEwhtNHl2bKMK+iOOGEE/Bf//Vf4Jw7viYAEELsEoK+3YF9BzysPGDEBZR7A5a2urw3Q8g18UFOrsaQ++6FZWw1qYOeWQ5t3S2mPsP8tX58xx5rPUFOdtnpcLdAcDNmBmA6xAkHjLhMJ08UYgicOV+w7VvdG6fozWrKtiMI3n3uebaVZ2bpXX97rmU/3Cu24qSTDtrm398ZcH7/ntMuZrBZl5Ny+xQmAIVl5C4z2UJqDMcds9rpB1cjU9iPJhLKPXtdLjd7XJUvszUhqrBBl3uua798cHY/Z/F0jRlu3ZxrAmBrlWMw9El4ZwqdLMP4bASpyW1CNTQaviBesorPMFr3sf9oFYHHXfFnlEo04wyNToZNMx1SIkrD56bhUY2otJ+zso7AsLraHttxKjETpXhsvIlGnCE2NCI2wD5Y9XDIqgGMVn2M1AJ4nKGTSEy2EmyZjTHZitFOJVqpxpZmB0mqAM3gC2Co5mNZjbpdciMMGlGGyXaC+zfOIE5NsJszLKsFWDUYYsVAgOeuGULokaUptUaUKDRiUh5RQi1LhbQ8VkAoKCGGMYY4VWhklO1l+dNC35yzx+AxkwE1FJpzFAgEg9TAdCvGTJTBa69f9NneEcyrKE477TScdtppADCHyO/ZijWDPo7ef2SOUHPuHiMUpKGosLELyyqbKdX1wi0EpY31YYJVRYEqRA8fFMsrmhdLU7UCnXMj8GX+cvdW5uZuFmul2EpqiitQFy1rtQA2ZkDH6xZs/ap+7UqtYeg9ZJfAs+m3xRTbLpZes+w3YzGyxyfmpKaaL/ky5LNruM8923S5pPKZul1f0MFmm+Kx8s/o2S8/Vv4D1sdfRKKIebQvCpvyIk/5Hojpuofj9h9BNSDSSVuD0EkytBJSHolUaMUZmnGK6bbC+GzsJj7CXHgOovoeqHg4YKCGgZDI7ppxhmaUoRml+N3W1FWMQwO1gIrNRqo+Kr7AfqNV58rRyiaE0Cx/shlh41QbrYQ4p0LfuIc8geWDAQ6tBRjuhHjp/3cgwIDpdoax2QhbZiOnfKKMqMONVxBDFYE1wyFCT4CB+rtMtmNsnG4TP1lGPSsEY1hWD7BqqIKV9QD7DJusMI9caM2YSAhn2lRXYc+BMXIpBT69l4HgSCX1Bo8SiVmjSKA1MTczyrQcCD3waBdnPVn0Y3x9tmK8neHBjbNzllsBal0vokuI59k9doZeTFO1WUTPNE21q2CN9Xy3qaTM+tOpXWrXzBa6y+owCyneoEw6MANAafDQkKQYTS8KS2VC1d/d55HZWbbSubAzTaHt7NseQ2tA2YZIpi5FO19LPl4GuLazzVhiqpXYIVMMQCO37sDBeCHIywsxGG3iELBpyFaRsq7rwUAUJbbFrR3FYtXfhUvZewq0XHdXaDdiiZl2suAx91QU3VbNRGHzbMfxedlaHxvwXT5AjXiqvgBj1Os5SqVJV5Vu1hwl5K5pRhkmmjEVuBl3j7WQQl9gKPQxXPFRDzxEpgr60bGG6R5HruCqR8yww1Xf/A3AkBfhaaXRyagrXGKyrp7a2sZD4wlmfr0RviAFYskuD6zXMGKskcGQI8o0tjYTbGlE2NqIMdVO0Enydqpaa9QqHkZqHoYqVXCQd2CiEWPjVAeZotYASUZssiN1H6sGKxiu+Vg1VKXMp5CoyRtxRq4mkxEGwLWFrfhUg1LxhMtGizKiKlkqLKoonvOc5+Dyyy/HC17wAtRqNbf8zDPPXLJB7S6EgvrX9qaIWh6abBvshfkEus1iKCqWZ8JCCuSFf1YpJNp+JnqCmU46pwK4uK8NkFo/Pgly7R6+fA6dUz14xpVmA76+xxDy3AKay0DaXaVtmyNZN5hg1k3FnUvOdfUz1+feeBNOOm4fGonOazGk+5zHPKTW1JFPdy+3+2jABdxtWqitsiYa+Jw6I3c7Fqwjt2yuO8haT4U95mwzEymMN+PcCrGuDeQ1NFYg90v7LS7rSg9m/a2anYkizThnlLUk/Hwsqekx0UkzTHVsMx+61r5gxoXCMRB4WD4QYiD0EHpEzWLTZTtuH+3cS40ow2wnxebZGFHaIkViml8pEzCvhwKBEMikwqaZDh7cNIvIFOX55jdXDIRYM1zBAaN1DISkwOJMQU+FOPTAZaZ6W6JjuKG2NmJsmO4gVQpMU6+Jqi/AGcOyeoh6aBWJD09Qr4stszHGZmPMxhlaEdV8RClZ0xVfYKQWYMVAAI8BigFjTbJeUkXFiUopBCbTabjmYbAaYM1QBSM1H8PVAKFHnfim2immWilaiQnkazja8qXAoopienoa09PTePLJJ90yxtizUlEsrwkcuWaw2w1UEFjbg2JVs3NPGaGe9SgiS/Wd9+E2vm67nxXg2havGSpwwJHu9SonIejBLlJqFAWSDUjnWUaFQrceV1T+eWkEUC+s4rNsoLbavUiQ53HA38PdM/0w0HgKz3/uyjn1IsDcSuiu7CYUK6YLy5RVRN1V/0uBogUmOP2mzfdXSjuXqSc4BgXHCkPbERpWgVSR4G/FGZ6ebKOdSlcdbSE4M/0WfIxUfdSGq/AFBcXJKiGFYlO0taZq6tkoRTOWmI2JyjwwvEyWvTbKJJ6aauHxrU0opZBqunahxzG5OQJb1sC+w1UcvKKOkaoP3xOQitJimxH1lpjppMYFpRGlGSZbMR4zVecep5m+7dC3b6WCgVUDGK75qAXUCW+2k2Jzg2jKZ1oJGjFVfidSgjMQFXnoGc+ExoQJXksNtOIMWmuXNFAPPAQ+KcB9hqlWpB54uG/mqSW594sqiptvvnlJfnhPRZJRnUBqUt5Saf/lbhTpBHbuirGB5yJymgw4lxVDT/U1ck4lmwWRrweA7pRMO0O3KZ4u4Gmmu/b7mGmoAhSa7BQsCGUEcbI0HGI7jKJ7w8YFtrYlNkx3uoO5SygQlxIbGhlGtra6lhXjIf3iLN1/u9N8hSgU+fWJmfTuY9eDYdFt5ovFQGuM1QT2H61RwaTpSGjfFavUZtoJxjOFKJOIMzJbfZfQwbGsFlDWU4WEqSc40kxi1lgQG6Y6RLth4n8ADHmgcLGGQAjsM+JjH+T1MdYdapGk0szwqRAuTpVjRo5SiWam8MDGWfziySlYAzL0OaqBh3oosHKgglVDIfYdrmDNUAghck6lKKW0VErTpQwrpTQaUYqJZoJ0XEFKDd9jrup8MPCxajCkmoyKB8E5EplhuplhqpNgukUMs+2EUmI1QEpICFeg2kkyVHwPE0jwm80NKKVRCwT2U0vjflpUUTzxxBP4h3/4B9e4SCmFJ598El/5yleWZEC7E/dtivGbZENhds2dy8hWJXPjP7VtQq3gz2k48lm3VIYmvAe9AsG9rJaqmvW87OY/51roDdyy/GW245iNlfOFs57jdXEZLZGbYkdhg9zuC4jPZ3uyrvY2uHNWuuv8i5OAnjlIT+JA9z42YFKsyKZF3cfdJpeazn8nP7TGw2MJ4t9NIPSoTiL0BGqBcBQeFZ98/cXny3ZGTCX56dupzXaKyO3Sc5K2C9yyqkdU5T53TAaZUUydNEMjpra6Umk3IQsNZxoABL7AKKdahpW64n7HNhsbjrfgoENXIMqIELCTEmV6O9FoRik2TU8jziTSjGo8aoGPwdBDPeQYrZM7a5/hKo5aM4SaCcYDNOnsJMSDNdNJXXyiHWeYblPdSZrmvVsYI0W4bCDAQcvrqAZU2c4YQzvJ0IhSzLZTbGnG2DQTI5FtKAV4AsYtzLFmYDexx77zne/Esccei1/+8pc4++yz8a//+q845phjlmQwuxsvPKCKk046ZHcPY6cg2uTj6H2Hd9nv9aZ39u19oIvb9xFkuleQ0ZfhkNwY+cx24Rkw0K0ce/dx63eDkpwe9HDoyoFd/rs7G7XZp/C8w1a6uAIFdTM0TPFbnNFMOvBzC8CmtoZGkayuVHHA6Pzuw1QqtJPMpc9ubeZ9KIimg1JhQ0HHF5wTG6wpAASjrCDfZAVVA49iDGaClykqFvQFx3A1QCVTqPqCrJhMUUaRKYrKTO2DlArNhNxRrSTDExMt3P/0tKm5ACoetSOuV3wMVzyMDoTYZ4gUyUCVqNUDj1Pf7ERS2mxKSjLOFGITGKeMqMS0Gs7PueqTJXfkPp4rupNSo5NSWrGYmlmS+72oomi1WvjIRz6Cq6++Gi996Uuxdu1avOENb1iSwexutFOFiWY8f5on5g9kLkTeZ3bfpe6SDY0MI+PNxTfcSegriPu4TxwduyIKDXtNlco/25iMdZGNtyU2TrWdBUQKQAOamarowneWf8/TXVn/+7XLrk6OpbgvxQD2Qq6rhbZxFmbPsr73lNG7kkoSrPWwvxjJpDK9FiiuYNNlJ9sKSSahFLlRbS8KT1ApYeCZrB5foB54GK4GwEj/40dm1m6PXw891AIb+4NpV8xN9pPCltnUKROLLc0MwzMd5wpaM0wNloC8b3ecKTRjqsiuBBJD1cA8o9RlL5NE1hcn5m+qMBul2DAd4WfJBDKlEApbuU0urdFagNG6j9FqgJF6gNWDIQYrvomBKLRNppiFTcogdxxVp7fSzPWuhwYO7DU9dxIWVRS22O6ggw7Co48+iuOPP36Pc1fsLDBm3Um583Zb/bj5tnvGLHZbZ655UV8ed8mzicjML9KT2CyjXo6rLpcRTK1Jv+wxd8xcWDNmU4/p+ggYV54J1GtN7WKVsu4ZMxbkCsUFfXVuoXRVfC8Bis2WigkDrkMe661m5248NpmAtuF5tTvv6d2NbgENdAtxuvjabEsr3H1gQDFN2e1jJkDMaId+FqDdpjjRsfxYlKWksbUZI5X9r7EV+LYRUT0MEIjcHQTAuI5M2qwRsEprzHZSTDQSd389Q0luXTqcMXJvGUtleT3om2ihlEZkZu5RpqBTYKjKMVT13RhDX0BPBHj+gaPEx5RKzLRTbE4j4jYzZJXUSImC1QNVrysxxBcMTBO1SGSyt6JUumtjA+LWCsmURjPKMN6IkZmW0Z6JUwYe9fleVqfOgGHAUQs8DIYeBiseKhXKukqkRlLLlR0DxTE2/nbLNjy5249FFcVBBx2Eq6++Gq997WvxgQ98AO12G1mWLbbbXomqxzFiAsC7GlZgWyG6EOWF28bmh/c53rbOXItCwX6fzyUE5JlS8yk9XRSEgkEw0RU4tYKKCtMtHTP6Kh+L0CNq6B1FP0W/ozNu+mMSCQy9u7OKtDIV03lWklNgSkMzUsZJqmCrtW1b2DwDSlG3O4AOxMxBrCXmrNa5brp+LLLFe2nZbB1rLs+/2/obGx/rSrl1ywmcMTRT5WblghFTa9UXqAQUr+iNR8x0UiSZmjfW5HOOeuDBF8wpGGh0CV67r5QKk0lWvCzwTdGqhceZqzWohx6W1fmc59XOzhlgXGakqEKfeJkAmLoF4ehYEkmFha45kqQ+3zZAP1IV0FW/rwJNM7pmnURSzENpxCm56xqxRGT6UDTiFGONmOqSOENg+34Lqk2phaQ4BkKBSuCZ68dQm8ey2xlY9Mgf/vCH8W//9m84+uij8cd//Me46667cOWVVy7ZgHYnWonEeCMu5N3n+fo23dW++HkNQ57WuKOwgqk4o7TCuMiZY6OL1iVjvs0p5tOaCrsmmnGePqlhyAkLRXDKFJcxOrb9PWDbGhsVUbQ67BitUrCzXOd2sm461p0BZoVUL5oJCZp+LpB+y9w1Bbp+054nzPL5lul8UdfMmtkfKgiA4izeWkfMzNKhCxTj5l5RRo7pv4BCBhPn5reYOy7RTeWz+rkWbTcWs2gt4aDj4DLHLabboseqzJ+3nEpGa2CiLbF+sk3UMCy3SmCsIY8z09KUBHYt8DBSDZwi6YVVKJTRIzHdTl0GVS+E4BgJPbrmhRTyImwNx6whn+w3sbHxEsGBFQMhKacCtHE59UvLtQh9gbqgglcFYr5NZHfmUWDYavMCRHRliSUmq7KTZMQMm+WxmVacUVpuTOuaUYp0WjvFzTjVfvmCIRQCLxjYDVlPjzzyCJ544gnXuOjCCy/EhRdeuCQD2RMwG2tsmu7kArsgLDmjWUuxBsG6qoouCCusM6WRZaqr3wIF4khYJFL1FIJ1K6dea763nmFOdXZBoBfHywrvZD5BtQLS9rTWXet3xD0mOEdYuG5zuuqx/jUf2/Jbsxs8HLy8TmMszNR3Rvyoa5tFxqELO8x11+RxEAcnQN0CY210DcRZF+5YhdhN8QQXOkcrwPPfNlsZ7VW873NcpihYU6x3mbmnVqkZxVgPOFYPVQDQM20fHpeKDZp9txKFZDamdFSdWz0ez7MKq4bCY6jqY6jiLWrVW2vF+uoTk01UFOKcM6SGrty+U4JRlpPt3ZIpBZVQk69NM5051o51TVU8jsGKh5WDYZfVApjMplQiNplSvcfwTOC8kxANiJUPbpzMnH/gYcVA0FeJArnSmu1Q6uxEI8ZkO0UrTokmJaFCQbWr02P/5V/+Bddeey0OOuggPPXUU/jEJz6BF7/4xUsyiD0FjNHMyWp4m+mwPSgKQV9w+KZ62fc4QhDDqy+4YZjNXQx2Nmpnegw54+qOYCCghu5WmRUVWrGozlou21JcuJSZTXP94crwaeXBO84K/cELSpyx3BpiKFQ474DCW2okmwOcsP/Ikv7Gjt6nfvv0u0cawHSNCr/iTMEXdnZsrSpqhVoNBHzBXcA3yRQpElaoJgdRbG+c6eDRLU1kUgGMWIl9TjENzogWZNAok4GKZ3pN+9t0LVIzy0+6FEseu9jalnhiogWt85gDde2j4jemaezjjXhurZRxu4UeNR8KPd4VL0lloeK84LIqjq+dZGgnGVST1hWf28DEZ2oBBfdXDVWxaqgK7DP3XNNM4te/um/Ra7IjmFdR3Hzzzbj11luxevVq/PKXv8T111//rFcUsXmYhZlxVChBGVITP5EV3AsJRKL7oM/FzArACDdQkNYGbznLZ9/cUFo4lxNj5EfeAWjA9QfuR929vchdPN3BeWi44iVZCDRb1wW57PJ1rHiwXjdJwfFEFhT5nZupxlYT+HOuwKIlpgFtO7T1zFyf0TkXXHG99BpWuXLjZnEBa1tzg8LyAlPubEw8RUup6PLGVG7JM70UczBcoTTNXthMp04hQM0YBWkDQ9dhaVw4B6R5r4bh0yTNWAdUhZ5b7alUGGtE+N3WpsnwoZvhe9Sboern9RyWGqQYTB8IPWBuK2gAgB4PcdLhqwDQc2p5oBpxikaUYXMUd2UfAXS/KuZ3k0zCM9XjWmNOYN03VdtDVd8QEubxEtsZzwb1k6zb3dZJJVpJhskmubZ8nssEBjiXls0SWyos6HpavXo1AODEE0/E1NTUdh/81ltvxU033YQsy/DGN74RF110Ud/t7rzzTlx55ZW44447MDExgTe/+c1uXaPRwNTUFH75y19u9+9vLwYDjjUjlZz8z7pOeE4NzrlNz6R9ev3Ae8pMtjfrqUgpshgDbdE3nLts+lgCZgProvOEJShkeSAUuW+fFywmR1WiQI2NFCClpOwm43OOswxKUYyiGWcuk4gzRoFy2x6VMcfES+t5VyaVcx92VbizLvnplrnP+XnayQEFI4pxIeX6e2TKnhtdvzw5Ic8Uy5TGk9MZvA0zCys67DxFZ5XvQoqOOwutj6JjdmJjLDnTB2UqIqHW69e39B2Dlf6z/aKrptPj8+eMYajikyVifttalHFWCGarXKHkFDgKjUhhWiZ4WtG11ko7QshqQO6tqu+5MTNQZtZURJlOVrFUA6qFGK3P7wJTimoXbBX5VDs1RYDkieDMpP36HIIxTHfyDEJ7nWwch3NmsqoEhg0jrm+yw2zmlo2RRGlewiu1xmQrMbElDS7YTnlu+mFeRdEr7Ipl69uCLVu24Prrr8fXv/51BEGACy64ACeffDIOO+ywru22bt2Ka6+91n1fvnw5vvWtbwEg98Mb3/hGXHrppdv12zsKS06njdDMuszxXZOHr6ThfdKWupxeBKlyzqPMWC2p4azPg9R5xtTvnmjhoeQJCrYbHzgFYmEI1SgAB1jlRkKFhKkRinZ9z4eFfNz2eG52DJvmCscGy8BMVz9LX5K7w9wMnXHUAtp/IKAm8rIgjJWmGFCRH8kG1LW2jLhwBIEaeb8Pe/+K6L3P9HnussXAzHV1gWpXbU/XrG0Epbs21poQZt/CpKNoWezIBMS1eLWWcOEclEZOi59pSMXcc9KV8KBzi1madrQKwOMbImz8+VPOlQmQ4hmu+lg+EGDlQIjReoCB0O+aYbuMpj5uo2LwuJPSdSq6amzMwAaFKz6H0kS/nZiMIktvDuQB8sgUBI43EkgVQQMIBKVhSwCPT6WobJxG1RTDVQMx51pzxuZYKVXfQz30sc9wdc65FC0FYpdVkFIR3X6mTIsC6jfue0ROONlKXLGi0mQ9+B654Cyv03CVFGnoUbpw8ZrFmUJ7u56Qbcc251Nt70N6991344UvfKGrwzjrrLP6UpZffvnluOSSS/CJT3xizjH+5V/+BdVqFeeee+52/faOIjZtFJXS0CrPDrGcTvTM5i+cVFaQa9djm2bn+SyyHwfUQrCz3y4mVUHWjc+purXCafZug+ueSYEo9rAY6mzGcUesdC4PwTkYNATnUMgpuQHKRqLOZQxuom0n0IXYgp0BQ/dvzVn0de/M9py+4C5dcVejr8XYqyitELfXwVy8YnwGoOuYTfg4bNWAi0tBk0POXlf62x0YJ2GZH89aCPb6Fj0drolWwWCy47fbMxTuT2HyY1LVus7VpdKCdaU011ubcOzhK7tSmpNUYqaTYKqZYv1kJ3chmesTGvbY4RoR/g1VAwxVKNVTGKqKhVwothDN8isVZ9f23Cs+x2AlmEMh4gLgqUIsKV6QmoSS6Y3Ue2WqQ4HhVCoXI/EFM9TjArWQIxQefN/Znn1jiJZyPTAFdkMV3zVzsii66GJTMBd4HANGJBe9GZzRJKcZZdjaSrrdc+43KYV8l1sUDz/8MJ7//Oe771EU4fnPf75Lc/zFL36x4IHHxsawcuVK933VqlX49a9/3bXNl770JRx99NE44YQT5uwvpcTf/u3f4rOf/ew2n4zF/fffv937AMBMIvH0Lx4ouCfgBKd9YTTTYNqa87SdZ015inzBYwwe8ll10cWhCkJjWyCRhxg623k+9/26+zp0nRcK3fhY3r7V/i0KSNazbr5tctfGXCvjmWC/QQ/TTz28U461vejORkKXYC1+z4WtUZbIF+rCtoMBx/pHH5rnWP1Sc+f/7iYu7nPh93q+b9e56vwY+d+CRa3pmfzxf/4KqdIuAOwLIChaD8b6sDV2idRoZQqbM41EAZmxklNpKqhNzYDgJGzrPkPV56gHDDWPOXfMfKBEFI1YUkFg2pOIwhm1EggFxUx8M9ZDRgNg6gmMAhjR1Ao4TcmNlCpgOlOIMo12ptFJFCIJk+Ri6ydofNWAoeZxVDxneoOZa2UKp+fAM+ftcwZP0GePG5ebNOeT0eSzd79Q0PUKBU0OWlKh5gvce++9i97r7cW8iuIHP/jBMzqwMkEsi2IePUCpt7fffju++MUvYvPmzXP2/8lPfoKDDz4YRxxxxHb/9rHHHoswnCdytQCm7vpPnPr8Y91ssejTLgp9+7nYH6CYyWGXueM433nBR77EcYx7770XJ5100pL+xq5CeS57HornERsfuo07WPdPnFJswbZHDc0sm1yEuaLzOHV8izPah3OyzlKtkKZktU8qTUJV5FaCJxgGAmKfHaz4GKx6zuffD/0oPwDggQcewDHHHENB5yBvuOQtoJhsNpXlbJqNUsx2qPahnWZIM8vPpMA5x0AoXOYWZTB5CH3eNVnLTDJN2ifFlcFa1nQNmbFmEpNVlRmFPfHEQ3jBC16w3fczjuMFJ9jzKor99ttvu3+siDVr1uCee+5x38fHx7Fq1Sr3/bbbbsP4+DjOO+88pGmKsbExXHjhhbjlllsAAD/84Q/xqle96hmNYXsxWhE4cPncTI4SJUrMD+ua6Rd3AHIBHRUyezJDdhcbFlmmNQKP6DEAqmLmkiMMiVbVUsxkSrsgsbXypzsJtrYiZApz+lsEpu3pUIWE9ECFGg35Ip9I2sQPSyli+2r31kT0Fs7ZeMVgxceqocq81ydKqYsfBb4TbGnEiNM2UqWIkdakDBNvlkA98Cmd3iOlFfocoeBu4mkVVG/tyFJiyWq+Tz31VNxwww2YnJxEtVrF7bffjquuusqtX7duHdatWwcAePrpp7F27VqnJADgvvvuw8UXX7xUwyuxxLAxjWIVcG9TpmIXut7tbWc+pYGNjQzLtra2KU5gLTYg38ZtxuYue6a9GvqNh/XbZ4ktyD0ZnuAYsCmqfWCpNCLTnzpKFVRAiRuxDU4rEAMsp2gLCUtqUgTAxUpCj/pI+IJjMBAIAwEGIDXcVE9NtpFkeX8LAHhiLAaenKQZf5WaAg1V/TnWCfWsVmhEGcYMg4MFQ3egvVhPYeMuq4b6Xx8b+G5GpEyaUYZOkmG6Rb08bC2X9XAEnkBgaj18QZxXtZB+d3KJnrMlUxSrV6/GpZdeirVr1yJNU5x//vk4/vjjcfHFF2PdunU47rjjFtx//fr1WLNmzVIN71mD+QRyx7BXLiaQewX4zoKN6zi3W6Fq3LrhbODdY3khoBW4ts6AAZgYEDhoGVl6NrBe9MN3ZSr1LMv9+YV9+myTVxQXA9Lo8tfPe9xt/G1g17P67mxYJbi5mWHLbOQ4nnrTZLcHnDOXkjofEtMAKUpIkVj3TJopxJIozQHDlQUgTjNMt2O0YmkmHdS3oRZ4xP0U+BitBaiHAt60j0NXDqAZZ5hpp9g0E5niPG1c5obuwyOBP2Csk9BYK1Qfoh2P00KBdlvzUAy0C040HPXQw+rhuefem0EVG7dZYvqPN6IUapbIE73d1bjomeDcc8+dk7H0uc99bs52+++/P+64446uZb/61a+WcmjbjWLq6Y7MkHe1QO5k9HD1E8hd2xeX7WBx31KDzRnbnjnObcHe3o/CvgfjNSLb6yTkVunlN3KkfDtBkQB5Wu3QPPUZVpiSVUIC1E4qUuPmIsuCLJTJZoanJtuIUomH10fY7G1x1dhDFQ/7DFUxUvcxEHoQjOVpu6YR0VQzQSKpc1+xbiIwLqN64Jk0VlImPmdIFCmSrc14bjEuI2XZ73oVFcli5/67qb3MotgbMdmReGye2Z6dSYntmCHvToG8sSqwanB+v2mJEjsCV6zHqbf1fO6kYuB4VyiSxYTpQgR/bNrHc/cZcim0nVTht+MNdDZkiFLqageQVTFY8bBiMMSqwRArBgZQ8en3bH9te+xWnKHRyJBkNrhPRH7FtNnQ46gEFIAnslyGJFN9r9dCgfbiuT+xt7me9kYsq4q9erZXosSegsXiErtakSxUozE9RN0gi/0xbG2DhXZ1GOTq2TQVoRVnXa2OOWNYVg+wajDE6qEKnjMQdgl0e86xsXqiJMNMO0GaaSRSIsk0FHSXS8t39VJAlJBF04+OPxDPjIp/MZSKokSJErsce5oiAQyJp1jYvRUXyATjnjhEllGge6KZ4HfjTXR63EuhEBip+Vg5WMGqwQD7jtTmJRGMTGqxjUMkJnU2kRJaAV7BzeULjlZMTZF2OXtsiRIlSuwu7ImKRHCGWuChFizs3orT3DIppq+2TH+JTdMdPLJlFplU0FQyAo9xVEPielpW8zFSCzEQeqgMdAe+ATiaj6Ll4wlqcbBU2XWloiixS7EjabNTHYmx2Wi3pLe69b/H6a17InamIumt4N5RFN1bw+hvlRQthmLRX5oR8WUjyvDERAvxlqbhK6P0uS6up9DDQECFe0MVn+osjDK5d0OpKEpsB2wHuz0pS8u1BLUpqYZbSBd+T5uxAHngdLIjsXk2ymkx5ktD7aGzYCzfFiBlUPTuMpZTUiy4jfkNR02CXKO4SvttWQbgd9Mpaptm3bGLysyNGTuXAqWI4nF7x5nXfCy8DQMwE0k04wwVjy9Ywby7sD2KpF8Sy1JYJEDu3povz6SXLTbOFNKMUmMbts/2bAQp6WnnoH43nBEho1+6nvZM6D5CtUvQ7qa02U1NiScn2zuUpZVz/pgxMzgmW0uXrVT+fVvhcU4Eh6Kbwr2Xyt3SvFukWwIcv53NfhwtuquD2LbmPb37AIU6im3Ypl/9RXGfgYAyZ/r9dl6H0T3eHn3XhX7riuqld51l2XVjM8q6dxw5uVz+C8VzHmtJPLxpljKgTC9nyyJrm+1UA7FXKJLV9bkpy7vDtQXQe0rurf7rtTa0HQnVlVBsQqKdpOjEah475pmjVBQFLJQeOx92Z9ps3vOg0GtC0t+KaRTjBLrc9pmGbZrUK9ADjzuBXmzYsyeid4a+p9RebKr1b/iztyHZEuCEA0YcA2onyftFtOIMk+0EHKRYfNM7296TvU2R9MPuUiSM5Wy2/dxb9967fqf8Ti9KRVHAUqXHat1NRy61djwt/RoIbSt6BbrtpOYLjqrHsLwe7PECvcTei4WaFFlK8JxKO88QasUZZqPUsRALzrt6UZeKZM9DqSgKsFWcsuBisTP0ZyLQGUwrTN79l1ok5rP2nSnQqz5f0taIJUosBMYWpuVIpULb1AX0126bKQAAFDZJREFUNiiyy2baMIkJ3e9EqUh2PUpFUcB0pLBpOlpUoNt/JUqU2DH4gmO4yjHch3GW2ox2d4crIpMaTUWpppY4sohSkSzBeJf06HsZRqslzXiJErsbfBE6DstrZBVJETZWGGcSiZSYMEkYRfQqkj0RO6JIbCLKkoxnSY5a4vcCylAJFDO48iwuk1lT6Fltl0MjT9O1x9E5rXhvJtVijKvzpXzOqZXorY3oqZ1An2UL1WkstM18dRq273lZp7HjsDPpkT7rii1GiwF2IKcC9zilQDejFBOZmvN87c0WyeSTZR3FsxZFgdtVT4Duuoeu74VUW7e8IHA37gI6a5uxZYWg5cu3y1HI8OIMEIyD8bmMt8XsMAbMidMsxrjaRfWN7tTShVJh++3jtiumitp9tO7ZT283DfnWtsSG6c68NOR7CzY0MqyabDuBWkyP3Z3YngB7lHZbIz6nxkT2PFpxhommXNQi2RMVyc5GqSgKaMTKvMTd9Q1L/SI7AdlPcBa+2218vrDAZQDGBgQOWVH/vZip2sK8wpLdNZRFMT7g4aDl9d09jGeM6UEPq4ZCRIlCM8qwtRHPSfAIPe586FVf7PbMu/kC7MUOd23TJrWTdNNvcMbceQgOSP37pUhKRVFAxaeUUusqKNZD7G0Cl8a9d425xN6FhfL5i7Te/TrCAcaF5HEjUHe/ItnWAPtsNDfAbtlbq4EAB0Ms1bNKkZSKogDfZBKUKFHimWEhWm+gW5HMdFJsSbe9tejuwLYG2Gc6KTpJN6usYAy1QKBiXHRaAx3Ts2JvUSSloihRosQuR1GRjPRZb+MJUdq/tSgDcrdWMJdhdVdjWwPsU61kToC94gvUCueRSr3HKZJSUZQoUWKPQzGeMNpnfZE8b6KVzOkNsVCP6l2NbQ2wT7SSvgH2oYrXlTCQZKqvItlr02NvvfVW3HTTTciyDG984xtx0UUX9d3uzjvvxJVXXun6Zo+NjeHyyy/H2NgYKpUKrrvuOuy///5LOdQSJUrsRViMPM8qkvl6VBeD06ncfTln21rB3oqJOVb1CbCP+AKVgLri7XXpsVu2bMH111+Pr3/96wiCABdccAFOPvlkHHbYYV3bbd26Fddee23Xsve85z0466yz8N//+3/HP/7jP+K6667Dpz71qaUaaokSJZ5lyBVJfxEnlXZFe1PRXDJQYQT47qbQ2OYA+2yKTOm9z6K4++678cIXvhAjIyMAgLPOOgu33XYbLrnkkq7tLr/8clxyySX4xCc+AQCYnJzEb37zG3zhC18AAJx33nk45ZRTlmqYJUqU+D2EKASnV+0gzXjVzwPU/m4IOPcLsO91FsXY2BhWrlzpvq9atQq//vWvu7b50pe+hKOPPhonnHCCW7Z+/Xrsu+++uOaaa3DPPfdg5cqV+OAHP7hUwyxRokSJOViMQsN2quukEtOtFGlPwyCfc1QC7txbe0Lm0jPBkikKpVRX8Ejr7n6ujzzyCG6//XZ88YtfxObNm93yLMvw4IMP4i/+4i/wvve9D1/72tdw2WWX4eabb97m377//vt3eNz33nvvDu+7p6E8lz0Tz5ZzebacB7DzzyVTGrHUSDL62xsG8TgQCoZQMARi55KMLsV9WTJFsWbNGtxzzz3u+/j4OFatWuW+33bbbRgfH8d5552HNE0xNjaGCy+8ENdccw3q9TpOP/10AMA555yDj370o9v128ceeyzCMNzuMd9777046aSTtnu/PRHlueyZeLacy7PlPIDdcy42c6lfFThAKbA206myHfQoO3oucRwvOMFeMkVx6qmn4oYbbsDk5CSq1Spuv/12XHXVVW79unXrsG7dOgDA008/jbVr1+KWW24BQErmxz/+MU477TT867/+K4455pilGmaJEiVK7HIEHkfg9Q9SF9ud2j7Z/ehRqq6WYumr2pdMUaxevRqXXnop1q5dizRNcf755+P444/HxRdfjHXr1uG4446bd98bbrgBV1xxBT7+8Y9jYGAA11xzzVINs0SJEiX2KCzW7nS+qva9to7i3HPPxbnnntu17HOf+9yc7fbff39XQwEAhxxyyHbFJEqUKFHi9wULVbUvVdbT3h2KL1GiRIkSS45SUZQoUaJEiQVRKooSJUqUKLEgSkVRokSJEiUWRKkoSpQoUaLEgigVRYkSJUqUWBCloihRokSJEguiVBQlSpQoUWJBlIqiRIkSJUosiFJRlChRokSJBVEqihIlSpQosSBKRVGiRIkSJRbEkpIC7k046qijkGUZHn300d09lBIFHHjggdBaY/369bt7KCUMyndlz8RS3pfSoihRokSJEguiVBQlSpQoUWJBlIqiRIkSJUosiFJRlChRokSJBVEqihIlSpQosSBKRVGiRIkSJRZEqShKlChRosSCKBVFiRIlSpRYEKWiKFGiRIkSC+JZVZmttQYAJEmy3fuuWLECUkrEcbyzh7Xb8Gw4l5UrVwJ4dpyLxd5+LuW7smfimdwXKzOtDO0F0/Ot2QvRaDTwyCOP7O5hlChRosReicMPPxyDg4Nzlj+rFIVSCq1WC77vgzG2u4dTokSJEnsFtNZI0xT1eh2cz41IPKsURYkSJUqU2Pkog9klSpQoUWJBlIqiRIkSJUosiFJRlChRokSJBVEqihIlSpQosSBKRVGiRIkSJRZEqShKlChRosSCKBVFiRIlSpRYEL+3iqLZbOKcc87B008/PWfdQw89hNe97nU466yz8IEPfABZlu2GEW47FjqXG2+8Eaeffjpe/epX49WvfjW+/OUv74YRbhtuvPFGnH322Tj77LPxN3/zN3PW7y33ZbHz2Jvuyac//Wm86lWvwtlnn40vfOELc9bvLfcEWPxc9qb7AgDXXnstLrvssjnLl+Se6N9D3Hffffqcc87RxxxzjF6/fv2c9Weffbb+5S9/qbXW+n3ve5/+8pe/vItHuO1Y7Fze+ta36l/84he7YWTbh7vuuku//vWv13Ec6yRJ9Nq1a/Xtt9/etc3ecF+25Tz2lnvys5/9TF9wwQU6TVPd6XT06aefrh977LGubfaGe6L1tp3L3nJftNb67rvv1ieffLJ+73vfO2fdUtyT30uL4qtf/SquuOIKrFq1as66DRs2IIoiPO95zwMAvO51r8Ntt922i0e47VjoXADg/vvvx9/93d/h3HPPxZVXXrnHkp+tXLkSl112GYIggO/7OPTQQ7Fx40a3fm+5L4udB7D33JM/+IM/wJe+9CV4noeJiQlIKVGr1dz6veWeAIufC7D33Jfp6Wlcf/31eNvb3jZn3VLdk99LRXH11VfjBS94Qd91Y2NjjrEUoBd/y5Ytu2po242FzqXVauGoo47Cu9/9bnzjG9/A7OwsPvvZz+7iEW4bnvvc57qH+4knnsD3vvc9nHbaaW793nJfFjuPvemeAIDv+/jMZz6Ds88+G6eccgpWr17t1u0t98RioXPZm+7Lhz70IVx66aUYGhqas26p7snvpaJYCEqpLkJBrfVeSzBYr9fxuc99Doceeig8z8Ob3/xm/PjHP97dw1oQjz76KN785jfjPe95Dw4++GC3fG+7L/Odx954T9atW4ef/vSn2LRpE7761a+65XvbPQHmP5e95b587Wtfwz777INTTjml7/qluieloujBmjVrMD4+7r5v3bp1XrfOno6NGzfin//5n913rTU8b89tQXLvvffiz/7sz/DOd74Tr33ta7vW7U33ZaHz2JvuyWOPPYaHHnoIAFCtVnHmmWfi4Ycfduv3pnuy2LnsLfflu9/9Lu666y68+tWvxmc+8xnccccd+NjHPubWL9U9KRVFD/bbbz+EYYh7770XAPCtb30LL33pS3fzqHYMlUoFH//4x7F+/XporfHlL38Zr3jFK3b3sPpi06ZNeMc73oHrrrsOZ5999pz1e8t9Wew89qZ78vTTT+Pyyy9HkiRIkgQ/+tGPcNJJJ7n1e8s9ARY/l73lvnzhC1/Ad77zHXzrW9/CunXrcMYZZ+D973+/W79U96RUFAYXX3wx/uu//gsAcN111+F//a//hVe+8pVot9tYu3btbh7d9sGey7Jly3DllVfif/7P/4lXvvKV0FrjTW960+4eXl98/vOfRxzHuOaaa1x64j/+4z/udfdlsfPYm+7Jaaedhj/8wz/Ea17zGpx33nk48cQTcfbZZ+919wRY/Fz2pvvSD0t9T8p+FCVKlChRYkGUFkWJEiVKlFgQpaIoUaJEiRILolQUJUqUKFFiQZSKokSJEiVKLIhSUZQoUaJEiQVRKooSzyqcccYZLk1wV+OKK67AGWecgeuvv36b97ntttvwp3/6p0s4qm3DiSee2Jd9eFtx44034oc//OFOHFGJPQl7XulhiRJ7Kf7pn/4Jd955J9asWbO7h7LL8bOf/QyHHXbY7h5GiSVCqShK7HL87Gc/w/XXX48DDjgAjz76KLIsw0c+8hF87Wtfw3Of+1z8j//xPwAAl112mft+xhln4JxzzsF//Md/YGZmBm95y1vwi1/8Ag888AA8z8NNN93kSN5uueUW/OY3v0GSJHjTm96E888/HwBwxx134KabbkKapqhUKnjve9+LE088ETfccAPuu+8+jI2N4YgjjsB1110379gfffRRXHnllZiengZjDG9+85vxmte8BhdeeCG01rj44otxxRVXzEvUCFBfhFtvvRUjIyM46KCD3PIkSXDdddfh5z//OaSUOProo3H55ZdjYGAAZ5xxBs4++2zcddddaDQaeNOb3oQLL7xw0fPasGEDxsfHsWHDBqxevRof//jHsWrVKtxzzz246qqrwBjDcccdB6UUAOIK+tjHPoZf/epXaLVa0Frjox/9KE466SRcdtllGBgYwMMPP4zNmzfjiCOOwLXXXotvfvObuP/++/E3f/M3EEJgdHQU11xzjTvmW9/6Vpx11lnP4IkpsdvxjInKS5TYTvzHf/yHPuqoo/SDDz6otdb685//vL7ooov0e9/7Xv33f//3brvi99NPP11/7GMf01pr/f/+3//TRx55pH7ooYe01lq//e1v1zfddJPb7oorrtBaa71582Z9yimn6EceeUT/7ne/0+ecc46enJzUWmv9yCOP6Be96EW61Wrpz3zmM/qss87SaZouOO40TfXLXvYy/f3vf98d/yUveYnrYXD44YfriYmJBY/xgx/8QL/qVa/SjUZDp2mq//zP/1y/4Q1v0FprfcMNN+hrrrlGK6W01lp/4hOfcOdy+umn6w9+8INaKaU3bdqkTz75ZP2b3/xm0fN62ctephuNhtaa+i18+tOf1nEc61NPPVXffffdWmutb731Vn344Yfr9evX61/84hf6L/7iL7SUUmut9d/93d/pt771re5+FHttvOY1r9H//M//rLXW+g1veIP+3ve+p7XWeu3atfo73/mO1lrrhx56SH/4wx9e8JqU2PNRWhQldgv23XdfHHXUUQCAo48+Gt/4xjew//77L7jPmWeeCQA44IADsGLFChx55JEAgAMPPBAzMzNuuwsuuAAAsHr1arzoRS/CT3/6UwghMDY2hj/7sz9z2zHG8NRTTwEAnve85y1KAvfEE08gjmM3jtWrV+PMM8/ET37yE5x44onbdN4//elP8YpXvAIDAwMAgPPOOw8333wzAODOO+9Eo9HA3XffDQBI0xTLly93+1544YVgjGHNmjV4yUtegrvuugthGC54Xn/wB3/gfuvoo4/GzMwMHnnkEXie5xhIzznnHHzoQx8CQLGK4eFhfOUrX8H69evxs5/9DPV63R37JS95CYIgAAAcfvjhXdfd4o/+6I9w5ZVX4o477sCpp56Kv/7rv96ma1Niz0WpKErsFlQqFfeZMebokHWBUSZN0659rIACqLfAfOA8z9FQSsHzPEgpccopp+BTn/qUW7dp0yasWrUKP/jBD+Y0sekHKeUcymat9Xa3miyeoxCia6zvf//7Xf+KVqvV1TynqMiUUuCcQym14Hn1u869Yyge+84778TVV1+NN73pTXjZy16GQw45BN/+9rfddvMdr4gLLrgAp59+Ou666y785Cc/wY033ojbbrsNYRhu2wUqscehzHoqscdgdHQU999/PwBgy5Yt+M///M8dOs43vvENAEQd/dOf/hSnnHIKTjnlFNx111147LHHAAA//vGP8d/+239DFEXbfNxDDjkEnufh9ttvd2P8/ve/j1NPPXWbj/HSl74Ut912G2ZnZ6GUwre+9S237sUvfjG+/OUvI0kSKKXwwQ9+EJ/85Cfd+m9+85vuvO666y689KUv3aHzOuKII6C1dv0WfvSjHznL4K677sLpp5+OCy+8EMceeyx++MMfQkq56HkJIZzCvOCCC1zf5quuugqzs7Nd1Ncl9j6UFkWJPQZ/+qd/ine9610466yzsP/+++OFL3zhDh0njmO89rWvRZqmuPzyy/Gc5zwHAHDllVfir//6r12vgZtuuqnLrbIYfN/HZz/7WXz0ox/FDTfcACkl3vGOd2zXOE877TQ8/PDDOO+88zA0NIQjjzwSU1NTAIC3v/3tuPbaa/Ha174WUkocddRRuOyyy9y+Tz/9NF73utchiiJcfvnlOOSQQ3bovHzfx//+3/8bH/7wh/HJT34SRx11lHNxXXDBBXjnO9+Jc889F1mW4UUvehFuv/12F5ieD2eccQY++clPIk1TvOtd78LHPvYxfOpTnwJjDJdccsmibsUSezZK9tgSJfYCnHHGGfj0pz+N4447bncPpcTvIUqLokSJAr797W/j85//fN915557Lt7ylrcseoy/+qu/wu9+97u+666//npnCZQosbegtChKlChRosSCKIPZJUqUKFFiQZSKokSJEiVKLIhSUZQoUaJEiQVRKooSJUqUKLEgSkVRokSJEiUWRKkoSpQoUaLEgvj/AeMfjjp+/LbSAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(rf_pipelines, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipelines, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(rf_pipelines, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names, kind='both')" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "id": "XnY6DCyKB7NE" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[0])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[1])], feature_names=feature_names, kind='both')\n", "\n", "PartialDependenceDisplay.from_estimator(xgb_pipelines, data, [(numerical_features_sorted_xgb[2])], feature_names=feature_names, kind='both')" ] }, { "cell_type": "markdown", "metadata": { "id": "awXN6irxOuK7" }, "source": [ "# Inside The Model" ] }, { "cell_type": "markdown", "metadata": { "id": "OoyVtD0rQokT" }, "source": [ "## Model Decision Tree" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "model_dt = DecisionTreeClassifier(criterion='entropy',max_depth=9, min_samples_leaf=50,min_samples_split=50)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "id": "QKBkK0gtQ3sa" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "|--- feature_6127 <= 0.00\n", "| |--- feature_26 <= 0.09\n", "| | |--- feature_436 <= 0.00\n", "| | | |--- feature_447 <= 0.06\n", "| | | | |--- feature_11 <= 0.03\n", "| | | | | |--- feature_6126 <= 0.73\n", "| | | | | | |--- feature_35 <= 0.07\n", "| | | | | | | |--- feature_32 <= 0.15\n", "| | | | | | | | |--- feature_6120 <= 0.09\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_6120 > 0.09\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_32 > 0.15\n", "| | | | | | | | |--- class: 0\n", "| | | | | | |--- feature_35 > 0.07\n", "| | | | | | | |--- class: 0\n", "| | | | | |--- feature_6126 > 0.73\n", "| | | | | | |--- feature_6121 <= 0.50\n", "| | | | | | | |--- feature_6123 <= 0.50\n", "| | | | | | | | |--- feature_6124 <= 0.47\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_6124 > 0.47\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_6123 > 0.50\n", "| | | | | | | | |--- class: 0\n", "| | | | | | |--- feature_6121 > 0.50\n", "| | | | | | | |--- class: 0\n", "| | | | |--- feature_11 > 0.03\n", "| | | | | |--- class: 1\n", "| | | |--- feature_447 > 0.06\n", "| | | | |--- class: 1\n", "| | |--- feature_436 > 0.00\n", "| | | |--- class: 1\n", "| |--- feature_26 > 0.09\n", "| | |--- feature_6128 <= 0.66\n", "| | | |--- class: 1\n", "| | |--- feature_6128 > 0.66\n", "| | | |--- class: 0\n", "|--- feature_6127 > 0.00\n", "| |--- feature_6127 <= 0.20\n", "| | |--- class: 1\n", "| |--- feature_6127 > 0.20\n", "| | |--- feature_6127 <= 0.20\n", "| | | |--- feature_10 <= 0.05\n", "| | | | |--- feature_13 <= 0.00\n", "| | | | | |--- feature_5 <= 0.02\n", "| | | | | | |--- feature_27 <= 0.00\n", "| | | | | | | |--- feature_433 <= 0.00\n", "| | | | | | | | |--- feature_35 <= 0.04\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_35 > 0.04\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_433 > 0.00\n", "| | | | | | | | |--- class: 0\n", "| | | | | | |--- feature_27 > 0.00\n", "| | | | | | | |--- feature_6125 <= 0.45\n", "| | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_6125 > 0.45\n", "| | | | | | | | |--- class: 1\n", "| | | | | |--- feature_5 > 0.02\n", "| | | | | | |--- class: 1\n", "| | | | |--- feature_13 > 0.00\n", "| | | | | |--- class: 1\n", "| | | |--- feature_10 > 0.05\n", "| | | | |--- class: 1\n", "| | |--- feature_6127 > 0.20\n", "| | | |--- feature_6127 <= 0.40\n", "| | | | |--- class: 1\n", "| | | |--- feature_6127 > 0.40\n", "| | | | |--- feature_6127 <= 0.40\n", "| | | | | |--- feature_33 <= 0.00\n", "| | | | | | |--- feature_425 <= 0.02\n", "| | | | | | | |--- feature_437 <= 0.01\n", "| | | | | | | | |--- feature_27 <= 0.81\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_27 > 0.81\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | |--- feature_437 > 0.01\n", "| | | | | | | | |--- class: 0\n", "| | | | | | |--- feature_425 > 0.02\n", "| | | | | | | |--- class: 1\n", "| | | | | |--- feature_33 > 0.00\n", "| | | | | | |--- feature_6126 <= 0.63\n", "| | | | | | | |--- class: 0\n", "| | | | | | |--- feature_6126 > 0.63\n", "| | | | | | | |--- class: 1\n", "| | | | |--- feature_6127 > 0.40\n", "| | | | | |--- feature_6127 <= 0.60\n", "| | | | | | |--- class: 1\n", "| | | | | |--- feature_6127 > 0.60\n", "| | | | | | |--- feature_6127 <= 0.60\n", "| | | | | | | |--- feature_457 <= 0.02\n", "| | | | | | | | |--- feature_437 <= 0.01\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_437 > 0.01\n", "| | | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_457 > 0.02\n", "| | | | | | | | |--- class: 1\n", "| | | | | | |--- feature_6127 > 0.60\n", "| | | | | | | |--- feature_6127 <= 0.80\n", "| | | | | | | | |--- class: 1\n", "| | | | | | | |--- feature_6127 > 0.80\n", "| | | | | | | | |--- feature_6127 <= 0.80\n", "| | | | | | | | | |--- class: 0\n", "| | | | | | | | |--- feature_6127 > 0.80\n", "| | | | | | | | | |--- class: 1\n", "\n" ] } ], "source": [ "# Show The Rule from Model\n", "\n", "model_dt.fit(x_smote, y_smote)\n", "\n", "rule = export_text(model_dt)\n", "print(rule)" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "id": "HugaI3jjQrVP" }, "outputs": [ { "data": { "image/png": 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F6ZlnnlGfPn2Oew5AMKEeNWZq7dG5557LXBEAAIZxbdRYcz7TX1tbq9GjR+vw4cMaNmyYbrvtttM+BhCsqEeNNcdYrWvXrtq+fXuD723ZskWStGfPHnXt2lUHDhxQeXm5YmJiJB3ZBK6srEx79+497jnAvDDTAXB88+bN0+LFi/Xkk09q5MiRGjhwoO666y4lJyfrzTffrP9cTU2NZsyYoSFDhigpKUlXXnmlFi5cKEmKjY1VZGSkoqOjG/zH73a7NX78eCUlJamqqkrvvvuubr/9dl100UXq16+fJk+erKuuukovvvhig06Q9957r9xutxITEzVr1iwdPHhQn332mSIiInTJJZfoo48+qv/s7NmzlZSUpEGDBh3z/OLi4o77Kyoq6pjfOXz4cKP3jv65qqrqhH+fn3/+ucrKynTDDTc0eP3QoUPH/HmtWrWqb1jyTbt379aNN96ozp07a8qUKSf8mUAwoBY1dia1aNOmTaqrq9OMGTP0t7/9TbfccoumT5+unJycBp+rq6vTG2+8oSuuuEJxcXHHPNaCBQu0YsWK+gtKIFRQjxo7k3q0du1alZaWatKkSXrllVd0/vnn67777tPf/va3Y37+sccek23beuihhxQZGamkpCQNGDBADz74oEpKSnT48GH94Q9/0L59+1RdXX3MYwDBhnrUWHOM1f7bW2+9pbffflt33333MSfb169fr5/97GcaMWKEfvjDH57wWECwoB411tz1aNasWXrrrbfUuXNnTZ48WQcPHmzwPuM1hCJqUWOnW4vi4+OVlpammTNnav369aqurtabb76pVatW1Y+zysvLtX79el199dV6//339dRTT6m4uFi/+c1v6o/z0EMPadSoUbrooouO/Q8LAAAAQEhhvNZYc9zrP9YxW7VqJUmqrKxUeXm5JOmBBx7QmDFj9Oqrr+qyyy7Tww8/rPfff/+YPxMIJtSixs5mHvu73/2uPvzwQ91www369a9/La/Xe8zP/fd9/qO16N5779WFF16oV199VRMmTNCtt96qvLy8E/5MAAAAAMGJ8VpjzfmcyFH/PV6TpHXr1qldu3b64x//qL/+9a+6/PLLdffdd2vVqlXHPAYQbKhHjZlaewQAAMzj2qix5n6m/+2339aLL76oiooK3XjjjfXnfrrjPSDYUI8aa46x2iWXXKJ//vOf+vjjj1VTU6NVq1bp1VdflSRVV1crKytL7dq10/3336/S0lKVl5frwQcflMvl4pl+PxdhOgCOb8WKFXIcRx6Pp8HrVVVVDRqNdenSpUGHx3bt2p30P7y+ffvW//7of/gpKSkNPjNu3Di98cYb2rNnT/1rqamp9b+PjY1V//79VVRUJEn6/ve/r1dffVVLlizRiBEj9PHHH+vGG288boZRo0Yd972XXnrpmN1pW7Vq1aiQHf1z69atj3s8Sfrwww913nnn1e+Ce1R0dPQxi2NlZaXatGnT4LX169frpptuUm1trd588021b9/+hD8TCAbUorOvRRUVFfrZz36m++67T5dccokkadiwYdq6datmzZqlzMzM+s8uXLhQmzZt0o9//OPj5vrwww81YsQIDR8+/LifAYIR9ahpro0+/fRT1dbWqm3btpKkIUOGaNu2bXrllVf0gx/8oP5z1dXVeuCBBzR79mxNmzZNEydOlHRkcPnss8/qnnvuUVZWliIjI3XRRRfJ4/EoLIx+0QgN1KOWGasd5TiOnnrqKT333HOaMmWKJk2a1OgzCxcu1K233qpu3brp+eefr1/oBAQ76lHL1iNJSkpKkiQ9++yzcrvd+te//qVLL720wTEYryHUUIuaphbNmDFDU6dO1QUXXKDw8HBlZWXp+9//vlasWCFJmjlzpsrKyvT0009LkoYPH64OHTropz/9qX76059qzZo1Kigo0CeffHLcvAAAAABCC+O1lrnXf6x1R0f/ftu0aVM/X33JJZdo8uTJkqShQ4dq48aNev3113XFFVcc9zyAYEAtatp57KPnPGzYMK1atUqvvfZag7/b493nP1qLrr/+el122WWSjtSilStX6rXXXlN6evoJfy4AAACA4MN4rWWfEzneeG379u365S9/qddff70+U1JSktatW6dnnnlGf/rTn457HkCwoB75x9qjoUOHHjcnAABoOVwbtexYLTIysv4Zkfbt2+vKK69UQUGBhg8ffsrHAIIV9ahlxmqXXnqptm7dqt/85je699571b17d91444166KGH1K5dO8XGxuq5557T1KlTlZaWpujoaF1zzTUaPny4YmJijnsOMI+Gbn6srq5OMTEx+uCDDxq9982ujcfr7ngi0dHR9b//ZkfK//75khQR8f//mnzz95JUW1tb37hj0KBBGjlypD7++GMdPnxYu3fv1oUXXnjcDLNnzz7ue/Hx8cd8vXv37tq5c2eD13bu3Kk2bdqoXbt2xz1eaWmpFixYoGeeeabRe926ddOXX37Z4LWqqiqVlpY2eIC3sLBQU6ZMUXx8vF5++eXjZgSCDbWosdOtRV9//bVKS0vrB3VHJScn61//+leD1/71r39p2LBhGjhw4DF/dl1dnb766ivdeuutx80NBCvqUWNncm30zXM9KiEhQR9//HH9n8vLy3XbbbepoKBAjz/+uL773e82+PzAgQP197//XaWlpYqIiFBMTIx+8IMfKC0t7bjnAAQT6lFjzTFWk44sYrrvvvv06aef6r777tNPf/rTRp/55z//qbvvvlsjR47Un/70pxP+PCDYUI8aa456tH79em3atEmWZTX4+bGxsSopKal/jfEaQhW1qLEzqUXx8fF67bXXVF5ertraWnXo0EF33HGH+vTpI+nI/PQ365AkjRw5UpJUXFysv//979qzZ0+jzzz44IP6/PPP9fLLLx/3PAAAAAAEJ8ZrjTXHvf5u3brVLw795jGP5jiaJSEhocFnBg0adMx/NkCwoRY1drq16ODBg8rJyVFaWppiY2PrX09ISNBXX31V/+cT3ec/US2ybfu45wAAAAAgeDFea6y5nhM50XhtyZIlqq6ubnSMkSNHKjs7+7jnAAQT6lFjJtYe0dANAAD/wLVRY80xVlu5cqX279/f4HnYxMRESVJJSYmio6NPuS8AEKyoR401x1hNkn72s5/plltu0e7duxUXF6ecnByFh4erR48eko40n/vHP/6hPXv2qG3btoqOjlZ6enr9Zm7wT2GmA+D4EhISVF5erurqavXt27f+10svvaR///vfTfZzBg4cqMjISBUWFjZ4vaCgQHFxcQ26YS5btqz+93v37tXGjRs1fPjw+te+//3v68svv9QXX3yhiRMnqn379sf9ud88p//+daxGI5I0ZswYzZ8/v8Fr8+bN0+jRo+sL7bEsWrRIjuMcs8nI2LFjtWPHDm3cuLH+taM/42gXz6VLl+qGG27Q4MGD9c4779DMDSGFWtTY6daibt26SZLWrFnT4PU1a9aoX79+DV5bsGDBCXe9Xbdunfbt26fx48cf9zNAsKIeNXa69Wj//v0aN25cowH0smXLNHjwYElHGtvefPPNWrp0qV555ZVGzdzKy8t1zTXXaPXq1YqNjVVMTIy2bNmilStXasKECcc9PyCYUI8aa46xmiTdc889+uKLL/SHP/zhmM3cvvrqK915552yLEuvvPIKzdwQcqhHjTVHPZo7d65uv/127d+/v/61TZs2ad++fQ2acTNeQ6iiFjV2urXIcRzddNNN8vl8iomJUYcOHVReXq65c+fWj7Pi4+OPObckSf3799esWbP0+eefa/bs2fW/JOn222/X9OnTj3t+AAAAAIIX47XGmuNe/9ixY7Vy5UqVl5c3OGbbtm01ZMgQxcfHq0+fPlqyZEmDYxQVFTVYnAkEK2pRY6dbi+rq6nTXXXfpiy++aPD60qVLNWjQIEknv88/fPhwtW3blloEAAAAoB7jtcaaY+7oZOO14x2jqKio0bMmQLCiHjVmYu0RAADwD1wbNdYcY7VPPvlEU6dOVU1NTf37R++jDRo06LT6AgDBinrUWHOM1d5++21NmzZN4eHhio+PV1hYmP7xj39o1KhRatu2rTZu3Kgrr7xSe/fuVefOnRUdHa2CggKVlpby/Jqfo6GbH8vMzNTQoUN15513at68edq4caN+97vf6YMPPmjwsOjJtG3bVlu3btWOHTuO+X5MTIx+9KMf6emnn9ann36qjRs36p133tGf//xnXXfddXK5XPWfffjhh7VgwQKtXr1av/zlLxUXF6fvfOc79e9/73vfU1lZmT744INm6eY4adIkLV26VLNmzdLXX3+tV199VV988YVuuOGG+s+UlpaqtLS0wfdWrlyp3r17q23bto2OOXLkSI0ePVp33nmnli5dqnnz5umBBx7QpZdeqvj4eNXU1Ojuu+9W586d9fvf/16VlZXatWuXdu3apb179zb5OQL+hlrU2OnWori4OF144YV69NFH9e9//1ubN2/Wm2++qb///e+65ZZb6r9TW1uroqIiDRky5Lg/e+XKlYqMjNSAAQOa/LwAf0c9aux061H79u2VlpamJ554Qj6fT8XFxXrxxRf18ccf6+c//7kk6YUXXlBhYaGmTZumAQMG1F/37Nq1S1VVVYqJiZHjOJo+fbrWrl2rZcuWacqUKUpLSzthQ0ogmFCPGmuOsdoHH3ygzz//XHfeeafGjRvXoB4dPnxYZWVluvfeezV8+HDdf//9Kisrq3//v38OEKyoR401Rz268MILFRsbq1/96ldau3atCgoKdPvtt2vEiBHyeDwNjsF4DaGIWtTY6dYil8ul2NhYzZo1S8uXL1dRUZFuvfVWxcfH6+KLL5Yk/fSnP1VOTo6efPJJbdq0SXl5ebrvvvtkWVZ9g4D/vpEoSZ07d2aDEgAAACBEMV5rrDnu9U+cOFFxcXH6xS9+odWrV+vLL7/U448/ruuuu65+F+LbbrtNf/3rX/XOO+9o8+bN+stf/qK///3vuv7665v8HAF/Qy1q7HRrUbt27fTDH/5QTz31lGzb1vr16/Xoo49qyZIlmjJliqST3+ePjo7WDTfcoD/+8Y/69NNPtWnTJj333HOaM2eOrr322iY/RwAAAAD+j/FaY80xd3Sy8dqIESOUkpKie++9V/PmzVNxcbGefPJJ5eXl6aabbmrycwT8EfWoMRNrjwAAgH/g2qix5hir/fjHP1ZZWZkeeOABbdiwQTk5Obr//vt1/vnna8iQIafcFwAIZtSjxppjrDZw4ED95S9/0ezZs7Vly5b6Z/7vuOMOSVLPnj21a9cuTZs2TcXFxcrPz9cvf/lL/eAHP6h/ZgT+KcJ0ABxfeHi4Xn31Vc2cOVO/+MUvdOjQIQ0cOFDPPvvsaTXLuPLKK3Xvvffq4osvVl5e3jE/c99996ljx46aNWuWdu/erX79+umBBx7QD3/4wwaf+9GPfqR77rlHpaWlSktL05tvvqnWrVvXvx8TE6OJEydq/vz59R0hm9LgwYP1pz/9STNnztQbb7yhXr16aebMmQ3+Po42I3nrrbfqX9u1a5diY2OPeUyXy6Vnn31WDz/8sH7yk5+oVatW+s53vqP77rtP0pGdLDdu3CjpyCLMb+rZs6e++uqrpjxFwO9Qixo7k1o0ffp0Pffcc/r973+v3bt3q3///nr88cd1/vnn13+ntLRU1dXVx61X0pF61qFDh2N26QWCHfWosTOpR48++qieeeYZPfjgg9qzZ48GDhyop59+WpmZmZKkTz/9VI7j6K677mr08958802lpqbq8ccf17Rp0/TjH/9YUVFR+va3v61f/epXTX5+gL+iHjXWHGO1Tz/9VJI0Y8YMzZgxo8F7v/vd7xQZGan9+/dryZIlysrKavD+uHHjGvwcIFhRjxprjnoUGxurN954Q7///e/14x//WOHh4TrvvPM0depUhYeHNzgG4zWEImpRY2dSi37zm9/o0Ucf1fXXXy/HcZSZmanHH3+8/uH/zMxMvfDCC/rjH/+oN954Qx07dtS3vvWt+ht1AAAAAPDfGK811hz3+lu1aqWXX35ZDz/8sH74wx+qQ4cOuuqqq3TrrbfWH/OSSy6RdOQB3t/97nfq2bOnHnzwQV166aVNfo6Av6EWNXYmteh//ud/1KFDBz388MPavXu3hg8frtdff13nnHOOpFO7z3/rrbeqdevWeuKJJ1RSUqKBAwfqmWeeUWpqapOfIwAAAAD/x3itseaYOzqV8dpzzz2nJ598Uvfdd5/KysqUkJCg119/XSNHjmzycwT8EfWoMdYeAQAQurg2aqw5xmp9+vTRG2+8oZkzZ+ryyy9X27ZtddFFF+nOO++sP+ap9AUAghn1qLHmGKulp6fr4Ycf1p/+9CeVlJRo0KBBeu655zRu3DhJUkREhF588UVNmzZNl112mdq3b69LL720/ufAf7kcx3FMh4D/y8/P1+TJk/Xvf/9bvXr1OuFnJ02apNGjRze4YAGApkAtAuAvqEcA/AX1CIC/oB4B8AfUIgAAAADwT4zXAPgDahEAAAAA+CfGawD8BfUIAADg/3FtBMBfUI8QiCJMB0Dw+PLLL7Vq1SotXrxYM2bMMB0HQIiiFgHwF9QjAP6CegTAX1CPAPgDahEAAAAA+CfGawD8AbUIAAAAAPwT4zUA/oJ6BAAA8P+4NgLgL6hH8Dc0dEOTefnll7VhwwZNmzZN3bt3Nx0HQIiiFgHwF9QjAP6CegTAX1CPAPgDahEAAAAA+CfGawD8AbUIAAAAAPwT4zUA/oJ6BAAA8P+4NgLgL6hH8Dcux3Ec0yEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIBCFmQ4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIGKhm44ZVOnTtWkSZNMx2hk7ty5uuKKKzRy5EhlZWVp1qxZqqqqOuF3PvroI1100UVKTk7WFVdcoTlz5jR4/8UXX1Rqaqosy9Jnn33W4L1//vOfuuKKK5r8PACcOn+tR0dVVlbq4osv1gcffHDSz27YsEE33XSTRo0apQkTJuiRRx7RoUOH6t/PycnReeedp3Hjxumxxx5r8N2SkhKNHz9ee/bsafJzAHBq/LUebdmyRTfffLNGjx6tjIwMPfnkk6qtrT3hd6hHQOCiFh1BLQLM88d6NHXqVCUmJh7z17PPPnvc761YsUKTJk3SqFGjZFlWo/km6hHg3/yxHklndn00d+5cff/731dycrImTpyoV155pcH7s2fPVkZGhtLT0/X66683eG/58uU699xzVVlZ2dSnAgAAAACnzV/Haps2bdItt9yiMWPGKCMjQw888IAOHDhwwu9ce+21jeaavnlujNUA/+av9eh0547OPffc485/L1iwQBJz2QAAAAD8l7+OzY460TMh77zzjs477zyNGDFCV111lVauXHnCY23fvl133XWXJkyYoLFjx+r666/X2rVr69/fvHmzfvSjH2nUqFG65ZZbtH///vr36urqdOmll8rn8zXdyQE4IX+tT6zLBgAALcFfr4WOasqx2q5du3TXXXcpLS1N48eP17Rp01RRUVH/PmM1wKxArkc+n0+XX365kpKSNHHiRL3zzjsnPFZJSckx7/sfPXZlZaXuuusujR49WpdddplWr17d4Pu//e1vNWPGjKY7OTQJGrohoK1Zs0Y333yzxo8fr08++US/+93vNHv2bM2aNeu43/n0009177336oILLtCHH36oSy+9VFOmTFF+fr4kae3atXruuef0/PPP64EHHtD999+vsrIySVJNTY3+8Ic/6J577mmR8wMQeA4cOKBbb71Va9asOeln9+3bp2uuuUYRERF6//33NXPmTP3rX/+qnwSvq6vT1KlTddNNN+nNN9/U559/ruzs7PrvP/nkk7rqqqvUuXPnZjsfAIGnurpa119/vSTpL3/5ix566CG9++67+uMf/3jc71CPADQ1ahEAf3H//fcrNze3wa/vfe97iouLO27D/n379um6667TgAEDNHv2bE2bNk0ffPCBnnzySUnUIwBn5kyuj9avX6+bb75ZHo9Hn3zyie666y49/fTT9Tf09u3bp4ceekjTpk3TH//4Rz399NNat25d/fdnzpyp22+/Xa1atWrekwMAAACAAFVdXa0bb7xRERER+utf/6onn3xS+fn5+vWvf33C761Zs0YPPfRQgzmnZ555RhJjNQBn5kzmjv72t781qENfffWV+vXrp7S0NI0aNYq5bAAAAAA4Qyd6JuTDDz/UjBkzdMcdd+iDDz5Qr169dO2112rv3r3HPFZVVZVuuukm7dq1S88//7z+/Oc/q23btvrJT35S/52ZM2dq4MCBmj17tqqrq/Xiiy/Wf//jjz9W+/bt5Xa7m+dkAQQE1mUDAAA07Viturpa1113ndauXatnn31WL730klasWKFbb721/jOM1QAcz4nq0fz58zVlyhRZlqXPPvtMN998s6ZPn67PP//8uMdbvXq1WrVqpZycnAZrAC644AJJR9YGbNiwQX/729/kdrv1wAMP1H9306ZN+t///V/dcsstTX+iOCsRpgMAZ2P79u267LLLdOedd0qS+vTpowsuuEBz5sw57ndeeuklffe739WUKVMkSf3799eqVav07LPPKjU1VWvXrlVCQoJGjRolSWrbtq02btyoESNG6K9//av69++vsWPHNv/JAQg4X331laZNm6aOHTue0ufffvttRURE6IknnlCrVq00aNAg3X777Xr33XflOI727dun3bt367LLLlNUVJRGjx6toqIiZWVlqaioSHPmzNEXX3zRzGcFIND84x//0LZt2/Tee++pQ4cOSkhI0J49ezRjxgzdcsstioqKavQd6hGApkYtAuAv2rVrp3bt2tX/+auvvtLnn3+uN954Q/Hx8cf8TmFhoUpLS/WrX/1KMTEx6tu3ry666CLl5OTonnvuoR4BOCNncn2UnZ2tNm3a6LbbbpMk9e7dW59//rlycnJ09dVXa/PmzYqJiZHH45EkDRo0SGvXrtWgQYPk8/m0b98+XXzxxS16ngAAAAAQSNatW6fi4mI9/fTTGjhwoCTp6quvrm/sfyx79uzRnj17NHLkSMXFxTV6n7EagDNxJnNHnTp1avDnxx57TPv379e7776riIgI7dmzh7lsAAAAADhNJ3sm5Pnnn9c111xTP7/z6KOPauLEiXr//fd18803N/p8QUGBioqKlJ2dXb9WaebMmUpNTdVXX32lH/zgB1q3bp3uu+8+9e3bVxMnTpTX65UkVVZW6umnn9ZTTz3VTGcLIFCwLhsAAIS6ph6r+Xw+FRUV6fPPP69fK/Dkk0/KsizNnz9f48aNY6wG4JhOVo+eeeYZTZw4UbfffrukIz2QFi1apIKCgvoGbf+tqKhI/fr1U9euXY/5/tq1a5WRkaEBAwbooosu0uuvv17/3h/+8Addf/31at++/dmdGJpcmOkAODafz6fLL79cI0eOVHp6uqZOnaqysrL697/88ktdccUVSk5OVlJSki6//HLl5OTUvz9p0iQ99thjuvvuuzVq1ChlZGTo3XffVWFhoS655BKNHDlSV155pYqLiyVJW7ZsUWJiombPnq0LL7xQI0aM0A9/+EMVFhYeN2NJSYnuvPNOjRkzRqmpqbrlllvqjycdWcB4++23KzU1VSNGjNCVV16p+fPnH/d4kyZNUmJi4jF/Hd3F9r9ZlqVHHnlEkuQ4jpYuXaovv/xSEyZMOO7P2bhxo8aMGdPgtaFDh2rRokWqqalRr169VFxcrN27d2vdunXav3+/unfvroMHD+r555/XL3/5y+MeGwhG1KNTq0dH/y6uvPJK/eUvfzmFv1kpNzdX3/rWtxrsvH3FFVfogw8+kMvlUseOHdW2bVsVFBSovLxcq1atUs+ePSUduYk3ZcoUtWnT5pR+FhAMqEenVo8KCgo0fPhwdejQof61tLS0+jpyLNQj4NRRi6hFgL+gHp36WO2oyspKTZ8+Xd///veVmpp63M8dfQju3XffVW1trbZs2SKfz6eRI0dKEvUI+C/Uo+a7PurcubNKS0v16aefynEcrVmzRoWFhfX1qHv37iorK9PXX3+tXbt2aePGjerZs6fq6uo0a9Ys3X333QoL4zYQAAAAEIoYq53aWK1jx44KCwvTe++9p6qqKu3du1dffPFF/bjrWNasWSOXy6X+/fsf833GakBD1KPmmzv6pnXr1unNN9/U1KlT6+e4mcsGAAAAcBRjs6Z5JmTPnj0qLi5Wenp6/WsREREaM2aMFixYcMzjDR48WC+++GKDjSePzg3t379fktSrVy8VFhaqrq5OhYWF9WO3N998UyNHjlRSUtJx8wKBjvrEumwAAEIZ10LmxmrFxcXq2LFjfTM3SerWrZs6duxYn5+xGkIJ9ahp6tGhQ4dUUFCgiy66qMHrjz76qB544IHjHnPNmjUN6tF/69Wrl5YuXaqqqioVFBTU16OlS5dq2bJluuaaa477XRjkwO/s2bPHOeecc5y3337b2bJli1NQUOCce+65zv/8z/84juM4y5Ytc4YMGeK89tprzqZNm5yVK1c6119/vZOWluZUVlY6juM411xzjTN8+HDn5ZdfdjZt2uQ88MADzrBhw5wLL7zQmTdvnrN06VLH4/E4t912m+M4jrN582YnISHBSU1NdT755BNn3bp1zr333uuMGDHC2bRpk+M4jnPvvfc611xzjeM4jnPw4EHnW9/6lvOLX/zCWbVqlbNmzRpn6tSpztixY50dO3Y4juM4t912m3PTTTc5RUVFTnFxsTN16lQnJSXFOXjw4DHPe9++fc7OnTuP+au8vPyEf2c1NTXOiBEjnISEBOfSSy91ysrKjvvZb33rW86MGTMavPbYY485CQkJzp49exzHcZwHHnjAGTJkiDN8+HDnxRdfdBzHcZ588sn6fwZAqKAenX49OiohIcH5+9//fsLPjB071nnhhRecRx991HG73c7EiROdxx57zDl8+HD9Zz744AMnKSnJGTp0qPOzn/3MqampcfLy8pzzzz/fqa6uPqUsQDCgHp16Pbr55pudO+64o8FrFRUVTkJCgvO///u/x/wO9Qg4NdQiahHgL6hHZzZWe+utt5wRI0Y4O3fuPOlnn3jiCWf48OHO0KFDnYSEBGfy5Mn1f3eOQz0CjqIeNe/1UXV1tXP//fc7Q4YMqa9Hv/zlL526urr6zzz33HPO0KFDnaFDhzqPPPKI4ziO8/777zs/+clPTvaPDwAAAECQYqx2enNHb7/9tpOcnOwMGTLESUhIcC688EJn7969x/38a6+95owZM8aZOnWqk5mZ6Zx//vnOE0880WDuiLEacAT1qHnnjr7p5z//uXPppZc2ep25bAAAAACMzZrumZDly5c7CQkJzrp16xp87rHHHnO+973vneo/EueVV15xEhMTndWrVzuO4zgrVqxwMjIynKFDhzoXXHCBs337dmffvn1Oenp6/d8XEIyoT6zLBgAglHEtZHas9tFHHznDhg1zDhw4UP/agQMHnKFDhzoPP/yw4ziM1RA6qEdNV49WrVrlJCQkOP/+97+dn//8505aWppz8cUXO++9994Jj3PRRRc5kydPdq666ionPT3dufLKKx2fz1f//oEDB5wrrrjCGTp0qDNu3Dhnzpw5juM4ztVXX+3Mnj37lLKi5dHQzQ+tXLnSSUhIcL766qv614qKipxVq1bVv//OO+80+I7P53MSEhKcbdu2OY5zpOD94Ac/aPD9hIQE569//Wv9azNmzHC+/e1vO47z/wXvlVdeqX+/qqrKcbvdzqxZsxzHaVjw3nvvPSc1NbXBxExtba3j8Xicp59+2nEcx7n44oudu+++2zl06JDjOEeKxJw5cxpM+jSVqqoqZ+nSpY5t2863v/1t54c//GGDh9q+6ZlnnnGSk5Od7Ozs+kmmcePGOQkJCfXF2nEcp6ysrL44l5SUOKmpqc6OHTucnJwc57vf/a7z7W9/+5QWSwGBjHp05k6lodvQoUOdMWPGOA8++KCzbNky5x//+IeTkZHh3H333Q0+d/jw4foF43V1dc5ll13m/POf/3Q2b97sXH311Y5lWc7jjz/ebOcC+APq0an7yU9+4vzqV79q8Fptba2TkJBw3IEZ9Qg4NdSiU0ct+j/27jzeqnn/H/irAZln5etyjWVMJTJ0zfNUxmvIUMZcMleEIoS6GS8SMma6MofLNV9XlClTEQ24yBBSadq/P3qc/XOck067jo56Ph+PHo/O2mv4rM15td6fvdZ7Q/WSR7Nv2rRphR133LHQvXv3Wa77448/Fk466aTCxRdfXHjnnXcKjz/+eGHrrbcudOzYsdx68gjk0ewo5froiy++KBx55JGFa6+9tvDuu+8W7rvvvkLz5s0LV155Zbn1xo8fX/jhhx8KhUKhMHHixMI222xTGDp0aOHdd98t7LPPPoUddtihcNttt821cwEAAGo2tVrV/fzzz4Vzzz230LFjx8Jbb71VeO655wq777574fDDDy9MnTq10m3OOuuswkYbbVTo379/YdiwYYUHH3ywsOWWW1ao+dRqII9mRylzR2VGjx5dWHfddQtPPvlkpa+bywYAgAWb2qx0v34m5LXXXis0bNiwwoP7V1xxRWHHHXes0j7/9a9/FdZff/1Cjx49yi2fOnVquS+pvPjiiwvdu3cvTJo0qdCxY8fC1ltvXTjppJMK33///RycEdQs8qnq3JcNAPMf10Klmxu12nfffVdo0aJFoUOHDoXvvvuu8OOPPxZOO+20wvrrr18455xziuup1VgQyKPSzSyPttpqq8Ktt95aeO+99wr9+vUrbLDBBjNt6jZlypTCBhtsUGjVqlXhv//9b2Ho0KGFSy65pNCoUaPCyy+/XG7dsWPHFt+Dp59+utCqVavC9OnTC3369Clst912hQMPPLAwbNiwajtfZk/dUOOst9562XPPPXP88cdnxRVXzFZbbZVtt902O+20U/H1pZdeOjfccEM+/vjjjBo1Kh988EGSZNq0acX9rLbaasW/L7rookmSVVddtbisXr16mTJlSrljt2jRovj3hRZaKBtuuGGGDx9eYYzvvfdevv/++2y66abllv/8888ZMWJEkuTEE0/MmWeemSeffDKbbLJJWrZsmT333DOLLLJIped99NFHZ8iQIZW+dtxxx+X444+v9LWysW600UZJkqWWWioHHXRQBg8eXGF8SXLsscfmu+++S/v27TNt2rSsvfbaOeaYY9KzZ88sueSSxfWWWmqp4t+vvvrqHHjggVlmmWVy5pln5h//+EdWWGGF7L///tlkk02y4oorznRs8EcmjyqaVR7Njrp162aNNdZIt27dkiQbbrhhpk2bllNOOSWdO3fO8ssvnyRZZJFFimN99NFHs/DCC2ennXbK8ccfn7/85S857LDDcsghh2SjjTbKjjvuOFfGBjWNPKpoZnlUr169TJ48ucIYkmSxxRardF/yCKpGFlUki2DekEcVzapWe/311zN69OgcfPDBM12nTM+ePfP999/nqquuSpJssMEGWXrppXPkkUfmyCOPzHrrrZdEHkEijyozN6+PunTpkpVXXjnt27dPkqy//vopFArp1q1b2rRpk+WWWy5Jsvjiixe3ueWWW7LJJptkww03zF577ZXjjjsuW265ZVq3bp3mzZsXMwwAAJh/qdUqmlmtdsstt2TQoEEZOHBg6tSpkyRZffXVs/POO+fZZ5+tdE7nggsuSKdOnbL00ksnSRo2bJiFFloop556ajp27JgVVlghiVoNEnlUmbk5d1Tm4YcfzvLLLz/TeWhz2QAAsGBTm1VU6jMh9erVS5JK67ey9+S33HXXXenevXv23nvvdOzYsdxrderUKT6b9umnn+bhhx/OY489lv79+2fcuHF56qmncuGFF+aaa67J2WefPdtjh5pIPlXkvmwAWHC4Fqro96zVlllmmVx33XXp3LlzNt9889SrVy9t2rTJBhtskCWWWKK4nlqNBYE8qqjUPFpooYWSJK1atcrhhx+eZMb7N2rUqNxyyy054IADKmxTt27dDBo0KHXq1Cnm2YYbbpgPP/wwN910U7bYYoviumX3JE2bNi1///vfc/bZZ+e9997L7bffnoceeij/+c9/0rFjxzz44IOzPXbmPg3daqi///3v+dvf/pYXXnghL7/8cs4888xssskmufXWW/Pqq6/mqKOOyrbbbptNNtkke+21VyZOnJi//e1v5fZR9sv+S7Vr1/7N49atW/5/iWnTplW6zfTp07PGGmvkuuuuq/Ba2STQTjvtlBdffDEvvvhiXn755fTr1y/XXHNN7r333qyzzjoVtrvooosyadKkSsdVdhPkr7333nv54YcfsvnmmxeXNWrUKEny5ZdfVrrNwgsvnHPPPTedOnXKuHHjstJKK+XOO+/MCiusUOkE1ogRI/LMM8/kiSeeKIZ5s2bNkiR//vOfM3To0Gy//faVHgvmB/KovJnlUSkaNGhQ4fhlP3/22WfFyfEykydPzhVXXJHLLrssSfLaa6/ljDPOyGKLLZatttoqgwcPNjnOfE0elTezPGrQoEGFgvWrr75KktSvX3+m28gjqBpZVJ4sgnlHHpU3q1rtqaeeyvrrr5+11lrrN9dLkiFDhmTbbbctt2zjjTdOkowcObLCA7byiAWdPCpvbl4fDRkypMJN3E2aNMnUqVPz6aefFhu6lfn2229z66235t57783333+f4cOHZ4cddsiiiy6aZs2aZfDgwZoEAADAAkKtVt7MarUhQ4Zk/fXXLzZzS2bcC7Tssstm5MiRMz3HX++vbDxffPFF8ebJMmo1FnTyqLy5OXdU5umnn84ee+wxy/fEXDYAACy41GbllfpMyMorr5xkRr32y3uQvvrqq1nWbj179syNN96Ytm3bplOnTqlVq9ZM17388stz+OGHZ7nllsurr76arbfeOgsvvHB22GGHXHnllSWNHWoq+VSe+7IBYMHiWqi837tWa9q0aZ5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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Show The Tree of Model\n", "\n", "plt.figure(figsize=(64,64))\n", "plot_tree(model_dt, fontsize=11, proportion=True,class_names=['No', 'Fraud'])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "i5Hn0XiJQr4Q" }, "source": [ "## Model Approximating XGBoost" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "id": "undP-eyNQwKY" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "|--- number_of_claims >= 1.0\n", "| |--- patient_name_Gweta >= 0.0028612006\n", "| | |--- patient_name_Gweta >= 0.989264667\n", "| | | |--- location_Kwekwe >= 0.000393003196\n", "| | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | |--- Class: 1\n", "| | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | |--- patient_suffix >= 0.873280883\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.873280883\n", "| | | | | | | |--- Class: 1\n", "| | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | |--- Class: 1\n", "| | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | |--- member_name_Nyoni >= 0.000608642295\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Nyoni < 0.000608642295\n", "| | | | | | | |--- Class: 1\n", "| | | |--- location_Kwekwe < 0.000393003196\n", "| | | | |--- location_Harare >= 0.00314572058\n", "| | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | |--- Class: 0\n", "| | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | |--- relationship_Husband >= 0.00924865063\n", "| | | | | | | |--- patient_suffix >= 0.252222627\n", "| | | | | | | | |--- member_name_Chisa Chisi >= 1.0\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa Chisi < 1.0\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.252222627\n", "| | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | |--- relationship_Husband < 0.00924865063\n", "| | | | | | | |--- member_name_Moyo >= 0.00263179606\n", "| | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Moyo < 0.00263179606\n", "| | | | | | | | |--- member_name_Sithole >= 0.0151872411\n", "| | | | | | | | | |--- patient_suffix >= 0.252222627\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.252222627\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Sithole < 0.0151872411\n", "| | | | | | | | | |--- Class: 1\n", "| | | | |--- location_Harare < 0.00314572058\n", "| | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | |--- member_name_Mabhena >= 1.0\n", "| | | | | | | | |--- location_Gwanda >= 0.0080899233\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- location_Gwanda < 0.0080899233\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- member_name_Mabhena < 1.0\n", "| | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | |--- patient_suffix >= 0.228202924\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.228202924\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | |--- membership_period >= 0.117528088\n", "| | | | | | | |--- Fee Charged >= 0.773653924\n", "| | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | |--- member_name_Geta >= 0.997368217\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.997368217\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.773653924\n", "| | | | | | | | |--- patient_suffix >= 0.747497201\n", "| | | | | | | | | |--- patient_suffix >= 0.938244462\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.938244462\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.747497201\n", "| | | | | | | | | |--- location_Rusape >= 0.00951971579\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Rusape < 0.00951971579\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- membership_period < 0.117528088\n", "| | | | | | | |--- member_name_Mabhena >= 1.0\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- member_name_Mabhena < 1.0\n", "| | | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 0\n", "| | |--- patient_name_Gweta < 0.989264667\n", "| | | |--- relationship_Husband >= 0.00924865063\n", "| | | | |--- member_name_Nyoni >= 0.000608642295\n", "| | | | | |--- member_name_Gute >= 0.00183079718\n", "| | | | | | |--- patient_suffix >= 0.0715789199\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.0715789199\n", "| | | | | | | |--- Class: 1\n", "| | | | | |--- member_name_Gute < 0.00183079718\n", "| | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | |--- Class: 1\n", "| | | | |--- member_name_Nyoni < 0.000608642295\n", "| | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | |--- member_name_Chisa Chisi >= 1.0\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Chisa Chisi < 1.0\n", "| | | | | | | |--- member_name_Gura >= 0.00150447013\n", "| | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Gura < 0.00150447013\n", "| | | | | | | | |--- Class: 1\n", "| | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | |--- patient_suffix >= 0.917686343\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.917686343\n", "| | | | | | | |--- Class: 1\n", "| | | |--- relationship_Husband < 0.00924865063\n", "| | | | |--- gender_female >= 0.00273580593\n", "| | | | | |--- member_name_Moyo >= 0.00263179606\n", "| | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | |--- member_name_Moyo >= 0.986205101\n", "| | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Moyo < 0.986205101\n", "| | | | | | | | |--- Class: 1\n", "| | | | | |--- member_name_Moyo < 0.00263179606\n", "| | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | |--- Class: 1\n", "| | | | |--- gender_female < 0.00273580593\n", "| | | | | |--- patient_suffix >= 0.830333889\n", "| | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | |--- Class: 1\n", "| | | | | |--- patient_suffix < 0.830333889\n", "| | | | | | |--- patient_suffix >= 0.806037009\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.806037009\n", "| | | | | | | |--- Class: 1\n", "| |--- patient_name_Gweta < 0.0028612006\n", "| | |--- membership_period >= 0.165842697\n", "| | | |--- employer_Wikizz >= 0.871025681\n", "| | | | |--- employer_Zoovu >= 0.0189832076\n", "| | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | |--- Class: 0\n", "| | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | |--- Class: 0\n", "| | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | |--- patient_suffix >= 0.497219145\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.497219145\n", "| | | | | | | | | |--- patient_suffix >= 0.488320351\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.488320351\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | |--- member_name_Bima >= 1.0\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Bima < 1.0\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | |--- member_name_Chisa Chisi >= 1.0\n", "| | | | | | | | |--- location_Bindura >= 0.00426501827\n", "| | | | | | | | | |--- patient_suffix >= 0.295884311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.295884311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Bindura < 0.00426501827\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Chisa Chisi < 1.0\n", "| | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | |--- Class: 1\n", "| | | | |--- employer_Zoovu < 0.0189832076\n", "| | | | | |--- patient_name_Foto >= 0.00253826613\n", "| | | | | | |--- patient_suffix >= 0.806037009\n", "| | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | |--- Class: 0\n", "| | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | |--- patient_suffix < 0.806037009\n", "| | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | |--- relationship_Grandmother >= 0.0152469091\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- relationship_Grandmother < 0.0152469091\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_name_Foto < 0.00253826613\n", "| | | | | | |--- relationship_Sister >= 0.0022376345\n", "| | | | | | | |--- relationship_Sister >= 0.996700644\n", "| | | | | | | | |--- Fee Charged >= 0.0398626141\n", "| | | | | | | | | |--- patient_suffix >= 0.3594625\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.3594625\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Fee Charged < 0.0398626141\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- relationship_Sister < 0.996700644\n", "| | | | | | | | |--- member_name_Tichaona >= 0.00315252459\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Tichaona < 0.00315252459\n", "| | | | | | | | | |--- membership_period >= 0.921359837\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.921359837\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- relationship_Sister < 0.0022376345\n", "| | | | | | | |--- number_of_dependants >= 0.257608205\n", "| | | | | | | | |--- employer_Rhycero >= 0.00183079718\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- employer_Rhycero < 0.00183079718\n", "| | | | | | | | | |--- Fee Charged >= 0.193736747\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Fee Charged < 0.193736747\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- number_of_dependants < 0.257608205\n", "| | | | | | | | |--- number_of_dependants >= 0.239187509\n", "| | | | | | | | | |--- location_Gwanda >= 0.0080899233\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gwanda < 0.0080899233\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- number_of_dependants < 0.239187509\n", "| | | | | | | | | |--- patient_suffix >= 0.398220241\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.398220241\n", "| | | | | | | | | | |--- Class: 0\n", "| | | |--- employer_Wikizz < 0.871025681\n", "| | | | |--- membership_period >= 0.169754833\n", "| | | | | |--- patient_name_Chipi >= 9.69506873e-05\n", "| | | | | | |--- patient_name_Chipi >= 1.0\n", "| | | | | | | |--- location_Bindura >= 0.00426501827\n", "| | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Bindura < 0.00426501827\n", "| | | | | | | | |--- Fee Charged >= 0.376974165\n", "| | | | | | | | | |--- Fee Charged >= 0.473926663\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Fee Charged < 0.473926663\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.376974165\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- patient_name_Chipi < 1.0\n", "| | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | |--- location_Rusape >= 0.00951971579\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Rusape < 0.00951971579\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | |--- location_Harare >= 0.00314572058\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Harare < 0.00314572058\n", "| | | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_name_Chipi < 9.69506873e-05\n", "| | | | | | |--- patient_suffix >= 0.90322578\n", "| | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- location_Kadoma >= 0.000141330209\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Kadoma < 0.000141330209\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | |--- patient_name_Konde >= 1.0\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_name_Konde < 1.0\n", "| | | | | | | | | |--- member_name_Samvura >= 0.00623847637\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Samvura < 0.00623847637\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- patient_suffix < 0.90322578\n", "| | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | |--- location_Mutare >= 0.998495519\n", "| | | | | | | | | |--- relationship_Daughter >= 0.00487704435\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Daughter < 0.00487704435\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- location_Mutare < 0.998495519\n", "| | | | | | | | | |--- Fee Charged >= 0.5648247\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.5648247\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | |--- patient_name_Foto >= 0.00253826613\n", "| | | | | | | | | |--- cause_Road Traffic Accident >= 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- cause_Road Traffic Accident < 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_name_Foto < 0.00253826613\n", "| | | | | | | | | |--- patient_suffix >= 0.899174511\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.899174511\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | |--- membership_period < 0.169754833\n", "| | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | |--- member_name_Sibanda >= 0.0114755128\n", "| | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Sibanda < 0.0114755128\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | |--- patient_suffix >= 0.409343719\n", "| | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- gender_female >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- gender_female < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | |--- patient_suffix >= 0.675194681\n", "| | | | | | | | | |--- member_name_Nyoni >= 0.000608642295\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Nyoni < 0.000608642295\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.675194681\n", "| | | | | | | | | |--- Fee Charged >= 0.619739354\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Fee Charged < 0.619739354\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- patient_suffix < 0.409343719\n", "| | | | | | | |--- patient_suffix >= 0.228202924\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- relationship_Uncle >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- relationship_Uncle < 0.00339946127\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- patient_suffix < 0.228202924\n", "| | | | | | | | |--- patient_suffix >= 0.0715789199\n", "| | | | | | | | | |--- Fee Charged >= 0.412627548\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Fee Charged < 0.412627548\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.0715789199\n", "| | | | | | | | | |--- cause_Road Traffic Accident >= 0.00355390087\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- cause_Road Traffic Accident < 0.00355390087\n", "| | | | | | | | | | |--- Class: 0\n", "| | |--- membership_period < 0.165842697\n", "| | | |--- Fee Charged >= 0.732902765\n", "| | | | |--- member_name_Tichaona >= 1.0\n", "| | | | | |--- Class: 1\n", "| | | | |--- member_name_Tichaona < 1.0\n", "| | | | | |--- membership_period >= 0.122148529\n", "| | | | | | |--- gender_female >= 1.0\n", "| | | | | | | |--- patient_suffix >= 0.409343719\n", "| | | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | | |--- member_name_Peterson >= 0.0114724552\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Peterson < 0.0114724552\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- patient_suffix < 0.409343719\n", "| | | | | | | | |--- relationship_Daughter >= 0.00487704435\n", "| | | | | | | | | |--- member_name_Gura >= 0.00150447013\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Gura < 0.00150447013\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- relationship_Daughter < 0.00487704435\n", "| | | | | | | | | |--- member_name_Gute >= 0.00183079718\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Gute < 0.00183079718\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- gender_female < 1.0\n", "| | | | | | | |--- patient_suffix >= 0.628476083\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- patient_suffix < 0.628476083\n", "| | | | | | | | |--- location_Kadoma >= 0.000141330209\n", "| | | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- location_Kadoma < 0.000141330209\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- membership_period < 0.122148529\n", "| | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | |--- patient_suffix >= 0.543937683\n", "| | | | | | | | |--- gender_female >= 1.0\n", "| | | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- gender_female < 1.0\n", "| | | | | | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- patient_suffix < 0.543937683\n", "| | | | | | | | |--- patient_suffix >= 0.420467198\n", "| | | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.420467198\n", "| | | | | | | | | |--- member_name_Gute >= 0.00183079718\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Gute < 0.00183079718\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | |--- membership_period >= 0.0471910127\n", "| | | | | | | | |--- patient_name_Gura >= 0.00526518421\n", "| | | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_name_Gura < 0.00526518421\n", "| | | | | | | | | |--- member_name_Mabhena >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Mabhena < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- membership_period < 0.0471910127\n", "| | | | | | | | |--- relationship_Brother >= 0.00233663875\n", "| | | | | | | | | |--- member_name_Jembwa >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Jembwa < 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- relationship_Brother < 0.00233663875\n", "| | | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | |--- Fee Charged < 0.732902765\n", "| | | | |--- patient_suffix >= 0.660734177\n", "| | | | | |--- patient_name_Jembwa >= 0.00164178468\n", "| | | | | | |--- member_name_Femba >= 0.997547746\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- member_name_Femba < 0.997547746\n", "| | | | | | | |--- Class: 1\n", "| | | | | |--- patient_name_Jembwa < 0.00164178468\n", "| | | | | | |--- relationship_Mother >= 0.00288834516\n", "| | | | | | | |--- Class: 1\n", "| | | | | | |--- relationship_Mother < 0.00288834516\n", "| | | | | | | |--- member_name_Moyo >= 0.00263179606\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Moyo < 0.00263179606\n", "| | | | | | | | |--- patient_suffix >= 0.806037009\n", "| | | | | | | | | |--- membership_period >= 0.0815730318\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- membership_period < 0.0815730318\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.806037009\n", "| | | | | | | | | |--- patient_suffix >= 0.675194681\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.675194681\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | |--- patient_suffix < 0.660734177\n", "| | | | | |--- Fee Charged >= 0.725467205\n", "| | | | | | |--- membership_period >= 0.122148529\n", "| | | | | | | |--- gender_female >= 1.0\n", "| | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | |--- member_name_Mabhena >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Mabhena < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- gender_female < 1.0\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- membership_period < 0.122148529\n", "| | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | |--- member_name_Gute >= 0.00183079718\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- member_name_Gute < 0.00183079718\n", "| | | | | | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | |--- patient_suffix >= 0.543937683\n", "| | | | | | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.543937683\n", "| | | | | | | | | |--- member_name_Jembwa >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Jembwa < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- Fee Charged < 0.725467205\n", "| | | | | | |--- member_name_Jembwa >= 0.93191421\n", "| | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | |--- patient_suffix >= 0.28921023\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.28921023\n", "| | | | | | | | | |--- member_name_Jembwa >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Jembwa < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | |--- cause_Road Traffic Accident >= 0.00355390087\n", "| | | | | | | | | |--- location_Rusape >= 0.00951971579\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- location_Rusape < 0.00951971579\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- cause_Road Traffic Accident < 0.00355390087\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- member_name_Jembwa < 0.93191421\n", "| | | | | | | |--- membership_period >= 0.0261304807\n", "| | | | | | | | |--- patient_suffix >= 0.555061162\n", "| | | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.555061162\n", "| | | | | | | | | |--- membership_period >= 0.142862767\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- membership_period < 0.142862767\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- membership_period < 0.0261304807\n", "| | | | | | | | |--- patient_suffix >= 0.324805349\n", "| | | | | | | | | |--- patient_suffix >= 0.446142882\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.446142882\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_suffix < 0.324805349\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "|--- number_of_claims < 1.0\n", "| |--- number_of_claims >= 0.92850709\n", "| | |--- gender_female >= 0.00273580593\n", "| | | |--- patient_suffix >= 0.470522791\n", "| | | | |--- Fee Charged >= 0.473926663\n", "| | | | | |--- Fee Charged >= 0.687584579\n", "| | | | | | |--- patient_suffix >= 0.726362646\n", "| | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | |--- member_name_Geta >= 0.997368217\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.997368217\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | |--- relationship_Mother >= 0.00288834516\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Mother < 0.00288834516\n", "| | | | | | | | | |--- member_name_Konde >= 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Konde < 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.726362646\n", "| | | | | | | |--- patient_suffix >= 0.628476083\n", "| | | | | | | | |--- location_Masvingo >= 0.00526518421\n", "| | | | | | | | | |--- member_name_Jembwa >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Jembwa < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Masvingo < 0.00526518421\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.628476083\n", "| | | | | | | | |--- location_Marondera >= 0.00242368761\n", "| | | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Marondera < 0.00242368761\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Fee Charged < 0.687584579\n", "| | | | | | |--- Fee Charged >= 0.590856016\n", "| | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | |--- member_name_Konde >= 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Konde < 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | |--- member_name_Gute >= 0.00183079718\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gute < 0.00183079718\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | |--- location_Kwekwe >= 0.000393003196\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Kwekwe < 0.000393003196\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Fee Charged < 0.590856016\n", "| | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | |--- member_name_Bima >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | |--- gender_female >= 0.993761539\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- gender_female < 0.993761539\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Fee Charged < 0.473926663\n", "| | | | | |--- Fee Charged >= 0.290231347\n", "| | | | | | |--- membership_period >= 0.660112381\n", "| | | | | | | |--- patient_suffix >= 0.726362646\n", "| | | | | | | | |--- member_name_Sithole >= 0.0151872411\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Sithole < 0.0151872411\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.726362646\n", "| | | | | | | | |--- member_name_Chisa Chisi >= 1.0\n", "| | | | | | | | | |--- location_Gwanda >= 0.0080899233\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gwanda < 0.0080899233\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa Chisi < 1.0\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- membership_period < 0.660112381\n", "| | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | |--- member_name_Evans >= 1.0\n", "| | | | | | | | | |--- location_Bindura >= 0.00426501827\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Bindura < 0.00426501827\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Evans < 1.0\n", "| | | | | | | | | |--- member_name_Jembwa >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Jembwa < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | |--- relationship_Husband >= 0.00924865063\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Husband < 0.00924865063\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Fee Charged < 0.290231347\n", "| | | | | | |--- cause_Road Traffic Accident >= 0.00355390087\n", "| | | | | | | |--- location_Harare >= 0.00314572058\n", "| | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | |--- location_Harare >= 0.997576296\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Harare < 0.997576296\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Harare < 0.00314572058\n", "| | | | | | | | |--- location_Gweru >= 0.00200030068\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Gweru < 0.00200030068\n", "| | | | | | | | | |--- member_name_Mirwa >= 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Mirwa < 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- cause_Road Traffic Accident < 0.00355390087\n", "| | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | |--- location_Masvingo >= 0.00526518421\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Masvingo < 0.00526518421\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | |--- cause_Accident At Home >= 1.0\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 1.0\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- patient_suffix < 0.470522791\n", "| | | | |--- Fee Charged >= 0.5648247\n", "| | | | | |--- Fee Charged >= 0.801878989\n", "| | | | | | |--- patient_suffix >= 0.228202924\n", "| | | | | | | |--- patient_suffix >= 0.324805349\n", "| | | | | | | | |--- location_Masvingo >= 0.00526518421\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Masvingo < 0.00526518421\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.324805349\n", "| | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | |--- member_name_Gweta >= 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gweta < 0.996602833\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.228202924\n", "| | | | | | | |--- patient_suffix >= 0.109010011\n", "| | | | | | | | |--- relationship_Sister >= 0.0022376345\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Sister < 0.0022376345\n", "| | | | | | | | | |--- member_name_Chiri >= 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chiri < 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.109010011\n", "| | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | |--- relationship_Uncle >= 0.970618725\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Uncle < 0.970618725\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Fee Charged < 0.801878989\n", "| | | | | | |--- cause_Road Traffic Accident >= 0.00355390087\n", "| | | | | | | |--- patient_suffix >= 0.28921023\n", "| | | | | | | | |--- location_Kwekwe >= 0.000393003196\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Kwekwe < 0.000393003196\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.28921023\n", "| | | | | | | | |--- location_Bindura >= 0.99403739\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Bindura < 0.99403739\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- cause_Road Traffic Accident < 0.00355390087\n", "| | | | | | | |--- member_name_Moyo >= 0.00263179606\n", "| | | | | | | | |--- member_name_Jembwa >= 0.00273580593\n", "| | | | | | | | | |--- patient_suffix >= 0.252222627\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.252222627\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Jembwa < 0.00273580593\n", "| | | | | | | | | |--- member_name_Moyo >= 0.986205101\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Moyo < 0.986205101\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Moyo < 0.00263179606\n", "| | | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Fee Charged < 0.5648247\n", "| | | | | |--- patient_suffix >= 0.252222627\n", "| | | | | | |--- Fee Charged >= 0.376974165\n", "| | | | | | | |--- relationship_Brother >= 0.00233663875\n", "| | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | |--- employer_Cogibox >= 0.00733989198\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- employer_Cogibox < 0.00733989198\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- relationship_Brother < 0.00233663875\n", "| | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | |--- patient_suffix >= 0.446142882\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.446142882\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | |--- location_Gweru >= 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gweru < 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Fee Charged < 0.376974165\n", "| | | | | | | |--- membership_period >= 0.446741581\n", "| | | | | | | | |--- relationship_Sister >= 0.0022376345\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Sister < 0.0022376345\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- membership_period < 0.446741581\n", "| | | | | | | | |--- member_name_Nyoni >= 0.000608642295\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Nyoni < 0.000608642295\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_suffix < 0.252222627\n", "| | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | |--- relationship_Sister >= 0.0022376345\n", "| | | | | | | | |--- location_Masvingo >= 1.0\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Masvingo < 1.0\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- relationship_Sister < 0.0022376345\n", "| | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | |--- cause_Accident At Home >= 1.0\n", "| | | | | | | | |--- member_name_Gute >= 0.00183079718\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Gute < 0.00183079718\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Accident At Home < 1.0\n", "| | | | | | | | |--- patient_suffix >= 0.119021133\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.119021133\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | |--- gender_female < 0.00273580593\n", "| | | |--- membership_period >= 0.495603919\n", "| | | | |--- membership_period >= 0.693054497\n", "| | | | | |--- patient_suffix >= 0.488320351\n", "| | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | |--- relationship_Grandmother >= 0.0152469091\n", "| | | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | | |--- member_name_Nyoni >= 0.000608642295\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Nyoni < 0.000608642295\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | | |--- member_name_Moyo >= 0.00263179606\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Moyo < 0.00263179606\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- relationship_Grandmother < 0.0152469091\n", "| | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | |--- location_Gwanda >= 0.0080899233\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gwanda < 0.0080899233\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | |--- cause_Accident At Home >= 1.0\n", "| | | | | | | | |--- member_name_Mirwa >= 0.00245226547\n", "| | | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Mirwa < 0.00245226547\n", "| | | | | | | | | |--- employer_Voonte >= 0.0138520747\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- employer_Voonte < 0.0138520747\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Accident At Home < 1.0\n", "| | | | | | | | |--- relationship_Sister >= 0.0022376345\n", "| | | | | | | | | |--- member_name_Sibanda >= 0.0114755128\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Sibanda < 0.0114755128\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Sister < 0.0022376345\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_suffix < 0.488320351\n", "| | | | | | |--- patient_suffix >= 0.142380416\n", "| | | | | | | |--- relationship_Father >= 0.0130126681\n", "| | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | |--- patient_suffix >= 0.252222627\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.252222627\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- relationship_Father < 0.0130126681\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- member_name_Jembwa >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Jembwa < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.142380416\n", "| | | | | | | |--- cause_Road Traffic Accident >= 1.0\n", "| | | | | | | | |--- member_name_Tichaona >= 0.00315252459\n", "| | | | | | | | | |--- membership_period >= 0.762471914\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.762471914\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Tichaona < 0.00315252459\n", "| | | | | | | | | |--- member_name_Konde >= 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Konde < 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Road Traffic Accident < 1.0\n", "| | | | | | | | |--- location_Gwanda >= 0.0080899233\n", "| | | | | | | | | |--- member_name_Konde >= 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Konde < 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Gwanda < 0.0080899233\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- membership_period < 0.693054497\n", "| | | | | |--- Fee Charged >= 0.491472512\n", "| | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | |--- location_Bulawayo >= 0.000398380042\n", "| | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | |--- patient_suffix >= 0.873280883\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.873280883\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Bulawayo < 0.000398380042\n", "| | | | | | | | |--- member_name_Samvura >= 0.00623847637\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Samvura < 0.00623847637\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | |--- member_name_Mabhena >= 0.000124212427\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Mabhena < 0.000124212427\n", "| | | | | | | | | |--- member_name_Nyoni >= 0.000608642295\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Nyoni < 0.000608642295\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Fee Charged < 0.491472512\n", "| | | | | | |--- patient_suffix >= 0.515016675\n", "| | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | |--- location_Mutare >= 0.998495519\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Mutare < 0.998495519\n", "| | | | | | | | | |--- member_name_Sithole >= 0.0151872411\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Sithole < 0.0151872411\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | |--- location_Kadoma >= 0.000141330209\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Kadoma < 0.000141330209\n", "| | | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.515016675\n", "| | | | | | | |--- Fee Charged >= 0.33360365\n", "| | | | | | | | |--- location_Gwanda >= 0.0080899233\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Gwanda < 0.0080899233\n", "| | | | | | | | | |--- location_Kadoma >= 0.000141330209\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Kadoma < 0.000141330209\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.33360365\n", "| | | | | | | | |--- member_name_Tichaona >= 0.00315252459\n", "| | | | | | | | | |--- member_name_Samvura >= 0.00623847637\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Samvura < 0.00623847637\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Tichaona < 0.00315252459\n", "| | | | | | | | | |--- relationship_Niece >= 0.00630904082\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Niece < 0.00630904082\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- membership_period < 0.495603919\n", "| | | | |--- Fee Charged >= 0.434387326\n", "| | | | | |--- Fee Charged >= 0.687584579\n", "| | | | | | |--- patient_suffix >= 0.628476083\n", "| | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | |--- member_name_Konde >= 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Konde < 0.00529226474\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | |--- patient_name_Mirwa >= 0.00111483026\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_name_Mirwa < 0.00111483026\n", "| | | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.628476083\n", "| | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | |--- member_name_Mabhena >= 1.0\n", "| | | | | | | | | |--- patient_suffix >= 0.0819549859\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.0819549859\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Mabhena < 1.0\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | | |--- member_name_Mirwa >= 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Mirwa < 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | | |--- member_name_Chiri >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chiri < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Fee Charged < 0.687584579\n", "| | | | | | |--- Fee Charged >= 0.542297184\n", "| | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | |--- member_name_Nyoni >= 1.0\n", "| | | | | | | | | |--- location_Harare >= 0.00314572058\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Harare < 0.00314572058\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Nyoni < 1.0\n", "| | | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | | |--- member_name_Gute >= 0.00183079718\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gute < 0.00183079718\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | | |--- location_Marondera >= 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Marondera < 0.00242368761\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Fee Charged < 0.542297184\n", "| | | | | | | |--- patient_suffix >= 0.488320351\n", "| | | | | | | | |--- location_Harare >= 0.00314572058\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Harare < 0.00314572058\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.488320351\n", "| | | | | | | | |--- patient_suffix >= 0.28921023\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.28921023\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- Fee Charged < 0.434387326\n", "| | | | | |--- patient_suffix >= 0.439072013\n", "| | | | | | |--- cause_Road Traffic Accident >= 0.00355390087\n", "| | | | | | | |--- location_Gweru >= 0.00200030068\n", "| | | | | | | | |--- member_name_Sithole >= 0.0151872411\n", "| | | | | | | | | |--- location_Gwanda >= 0.620598078\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gwanda < 0.620598078\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Sithole < 0.0151872411\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Gweru < 0.00200030068\n", "| | | | | | | | |--- member_name_Chiri >= 0.000393003196\n", "| | | | | | | | | |--- member_name_Tichaona >= 0.00315252459\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Tichaona < 0.00315252459\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Chiri < 0.000393003196\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- cause_Road Traffic Accident < 0.00355390087\n", "| | | | | | | |--- patient_suffix >= 0.654060066\n", "| | | | | | | | |--- location_Kwekwe >= 0.000393003196\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Kwekwe < 0.000393003196\n", "| | | | | | | | | |--- member_name_Chiri >= 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chiri < 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.654060066\n", "| | | | | | | | |--- relationship_Brother >= 0.00233663875\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Brother < 0.00233663875\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_suffix < 0.439072013\n", "| | | | | | |--- patient_suffix >= 0.28921023\n", "| | | | | | | |--- patient_suffix >= 0.3594625\n", "| | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.3594625\n", "| | | | | | | | |--- Fee Charged >= 0.272673994\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.272673994\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.28921023\n", "| | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- location_Bindura >= 0.00426501827\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Bindura < 0.00426501827\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | |--- relationship_Aunt >= 0.000740912976\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Aunt < 0.000740912976\n", "| | | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| |--- number_of_claims < 0.92850709\n", "| | |--- number_of_claims >= 0.807046235\n", "| | | |--- Fee Charged >= 0.473926663\n", "| | | | |--- gender_female >= 0.993761539\n", "| | | | | |--- membership_period >= 0.6422472\n", "| | | | | | |--- patient_suffix >= 0.409343719\n", "| | | | | | | |--- cause_Other >= 1.0\n", "| | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | |--- location_Bindura >= 0.00426501827\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Bindura < 0.00426501827\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | |--- location_Gwanda >= 0.0080899233\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gwanda < 0.0080899233\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Other < 1.0\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- location_Gweru >= 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gweru < 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.409343719\n", "| | | | | | | |--- Fee Charged >= 0.801878989\n", "| | | | | | | | |--- member_name_Moyo >= 0.00263179606\n", "| | | | | | | | | |--- member_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Moyo < 0.00263179606\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.801878989\n", "| | | | | | | | |--- location_Rusape >= 0.00951971579\n", "| | | | | | | | | |--- member_name_Jembwa >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Jembwa < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Rusape < 0.00951971579\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- membership_period < 0.6422472\n", "| | | | | | |--- patient_suffix >= 0.446142882\n", "| | | | | | | |--- patient_suffix >= 0.699666321\n", "| | | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | | |--- location_Kwekwe >= 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Kwekwe < 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.699666321\n", "| | | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | | |--- member_name_Geta >= 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Geta < 0.00478641829\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | | |--- relationship_Uncle >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Uncle < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.446142882\n", "| | | | | | | |--- patient_suffix >= 0.28921023\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.28921023\n", "| | | | | | | | |--- patient_name_Samvura >= 0.00529226474\n", "| | | | | | | | | |--- member_name_Gweta >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gweta < 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_name_Samvura < 0.00529226474\n", "| | | | | | | | | |--- cause_Accident At Home >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- cause_Accident At Home < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- gender_female < 0.993761539\n", "| | | | | |--- Fee Charged >= 0.687584579\n", "| | | | | | |--- membership_period >= 0.495603919\n", "| | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | |--- location_Bulawayo >= 0.000398380042\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Bulawayo < 0.000398380042\n", "| | | | | | | | | |--- patient_suffix >= 0.543937683\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.543937683\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | |--- patient_suffix >= 0.543937683\n", "| | | | | | | | | |--- member_name_Samvura >= 0.00623847637\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Samvura < 0.00623847637\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.543937683\n", "| | | | | | | | | |--- relationship_Aunt >= 0.000740912976\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Aunt < 0.000740912976\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- membership_period < 0.495603919\n", "| | | | | | | |--- patient_suffix >= 0.628476083\n", "| | | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | | |--- patient_name_Mirwa >= 0.00111483026\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_name_Mirwa < 0.00111483026\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.628476083\n", "| | | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | | |--- member_name_Mabhena >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Mabhena < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | | |--- member_name_Femba >= 0.00621026708\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Femba < 0.00621026708\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- Fee Charged < 0.687584579\n", "| | | | | | |--- membership_period >= 0.569278061\n", "| | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- member_name_Mabhena >= 0.000124212427\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Mabhena < 0.000124212427\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | |--- cause_Accident At Work >= 0.993204534\n", "| | | | | | | | | |--- member_name_Tichaona >= 0.00315252459\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Tichaona < 0.00315252459\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Work < 0.993204534\n", "| | | | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- membership_period < 0.569278061\n", "| | | | | | | |--- number_of_dependants >= 0.333797455\n", "| | | | | | | | |--- relationship_Mother >= 0.00288834516\n", "| | | | | | | | | |--- location_Bulawayo >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Bulawayo < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Mother < 0.00288834516\n", "| | | | | | | | | |--- location_Rusape >= 0.00951971579\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Rusape < 0.00951971579\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- number_of_dependants < 0.333797455\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Samvura >= 0.00623847637\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Samvura < 0.00623847637\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- Fee Charged < 0.473926663\n", "| | | | |--- membership_period >= 0.531703532\n", "| | | | | |--- gender_female >= 0.993761539\n", "| | | | | | |--- patient_suffix >= 0.543937683\n", "| | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | |--- location_Gweru >= 0.00200030068\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Gweru < 0.00200030068\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | |--- relationship_Daughter >= 0.00487704435\n", "| | | | | | | | | |--- member_name_Mirwa >= 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Mirwa < 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- relationship_Daughter < 0.00487704435\n", "| | | | | | | | | |--- member_name_Chisa Chisi >= 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa Chisi < 0.00196364545\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.543937683\n", "| | | | | | | |--- patient_suffix >= 0.28921023\n", "| | | | | | | | |--- Fee Charged >= 0.360201031\n", "| | | | | | | | | |--- location_Gweru >= 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gweru < 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.360201031\n", "| | | | | | | | | |--- cause_Road Traffic Accident >= 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- cause_Road Traffic Accident < 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.28921023\n", "| | | | | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | | | | |--- location_Gweru >= 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Gweru < 0.00200030068\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- gender_female < 0.993761539\n", "| | | | | | |--- patient_suffix >= 0.543937683\n", "| | | | | | | |--- Fee Charged >= 0.367945701\n", "| | | | | | | | |--- patient_suffix >= 0.699666321\n", "| | | | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.699666321\n", "| | | | | | | | | |--- member_name_Sibanda >= 0.0114755128\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Sibanda < 0.0114755128\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.367945701\n", "| | | | | | | | |--- location_Mutare >= 0.0146831982\n", "| | | | | | | | | |--- member_name_Moyo >= 0.00263179606\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Moyo < 0.00263179606\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- location_Mutare < 0.0146831982\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.543937683\n", "| | | | | | | |--- patient_suffix >= 0.324805349\n", "| | | | | | | | |--- member_name_Mirwa >= 0.00245226547\n", "| | | | | | | | | |--- relationship_Daughter >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Daughter < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Mirwa < 0.00245226547\n", "| | | | | | | | | |--- patient_name_Moyo >= 0.0145433191\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_name_Moyo < 0.0145433191\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.324805349\n", "| | | | | | | | |--- member_name_Mabhena >= 0.000124212427\n", "| | | | | | | | | |--- member_name_Mirwa >= 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Mirwa < 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- member_name_Mabhena < 0.000124212427\n", "| | | | | | | | | |--- patient_suffix >= 0.197997779\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.197997779\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- membership_period < 0.531703532\n", "| | | | | |--- patient_suffix >= 0.446142882\n", "| | | | | | |--- patient_suffix >= 0.654060066\n", "| | | | | | | |--- patient_suffix >= 0.756037891\n", "| | | | | | | | |--- patient_name_Chisa >= 0.00339718\n", "| | | | | | | | | |--- member_name_Sithole >= 0.0151872411\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Sithole < 0.0151872411\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_name_Chisa < 0.00339718\n", "| | | | | | | | | |--- location_Bulawayo >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Bulawayo < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.756037891\n", "| | | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | | |--- member_name_Gura >= 0.00150447013\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Gura < 0.00150447013\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.654060066\n", "| | | | | | | |--- Fee Charged >= 0.209576726\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- cause_Accident At Work >= 0.993204534\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- cause_Accident At Work < 0.993204534\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- relationship_Brother >= 0.00233663875\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Brother < 0.00233663875\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.209576726\n", "| | | | | | | | |--- membership_period >= 0.370561808\n", "| | | | | | | | | |--- member_name_Chiri >= 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chiri < 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- membership_period < 0.370561808\n", "| | | | | | | | | |--- relationship_Sister >= 0.0022376345\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Sister < 0.0022376345\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_suffix < 0.446142882\n", "| | | | | | |--- patient_suffix >= 0.255839825\n", "| | | | | | | |--- patient_suffix >= 0.3594625\n", "| | | | | | | | |--- cause_Accident At Work >= 0.00780077651\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Accident At Work < 0.00780077651\n", "| | | | | | | | | |--- relationship_Wife >= 0.000977808144\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Wife < 0.000977808144\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.3594625\n", "| | | | | | | | |--- Fee Charged >= 0.272673994\n", "| | | | | | | | | |--- relationship_Aunt >= 0.000740912976\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Aunt < 0.000740912976\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.272673994\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.255839825\n", "| | | | | | | |--- member_name_Chisa >= 0.00339946127\n", "| | | | | | | | |--- patient_name_Moyo >= 0.0145433191\n", "| | | | | | | | | |--- member_name_Chisa >= 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chisa < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_name_Moyo < 0.0145433191\n", "| | | | | | | | | |--- location_Bulawayo >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- location_Bulawayo < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Chisa < 0.00339946127\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- member_name_Foto >= 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Foto < 0.00168324972\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- member_name_Mirwa >= 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Mirwa < 0.00245226547\n", "| | | | | | | | | | |--- Class: 1\n", "| | |--- number_of_claims < 0.807046235\n", "| | | |--- number_of_dependants >= 0.701322854\n", "| | | | |--- number_of_dependants >= 1.0\n", "| | | | | |--- cause_Accident At Home >= 0.00164178468\n", "| | | | | | |--- patient_name_Foto >= 0.00253826613\n", "| | | | | | | |--- patient_name_Foto >= 0.979597867\n", "| | | | | | | | |--- patient_suffix >= 0.675194681\n", "| | | | | | | | | |--- relationship_Grandfather >= 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Grandfather < 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.675194681\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_name_Foto < 0.979597867\n", "| | | | | | | | |--- patient_suffix >= 0.543937683\n", "| | | | | | | | | |--- relationship_Grandfather >= 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Grandfather < 0.00355390087\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.543937683\n", "| | | | | | | | | |--- member_name_Bima >= 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Bima < 0.000398380042\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_name_Foto < 0.00253826613\n", "| | | | | | | |--- cause_Accident At Home >= 1.0\n", "| | | | | | | | |--- patient_name_Chipi >= 9.69506873e-05\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_name_Chipi < 9.69506873e-05\n", "| | | | | | | | | |--- location_Gwanda >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- location_Gwanda < 1.0\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- cause_Accident At Home < 1.0\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- member_name_Evans >= 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Evans < 0.0120213311\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- member_name_Chiri >= 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- member_name_Chiri < 0.000393003196\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- cause_Accident At Home < 0.00164178468\n", "| | | | | | |--- patient_suffix >= 0.933259189\n", "| | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | |--- location_Masvingo >= 0.00526518421\n", "| | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- location_Masvingo < 0.00526518421\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | |--- membership_period >= 0.0169662926\n", "| | | | | | | | | |--- patient_suffix >= 0.981090128\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.981090128\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- membership_period < 0.0169662926\n", "| | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.933259189\n", "| | | | | | | |--- membership_period >= 0.917977512\n", "| | | | | | | | |--- patient_name_Jembwa >= 0.00164178468\n", "| | | | | | | | | |--- member_name_Dihwa >= 0.000786541554\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- member_name_Dihwa < 0.000786541554\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_name_Jembwa < 0.00164178468\n", "| | | | | | | | | |--- patient_suffix >= 0.675194681\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.675194681\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- membership_period < 0.917977512\n", "| | | | | | | | |--- patient_name_Mirwa >= 0.00111483026\n", "| | | | | | | | | |--- relationship_Uncle >= 0.00339946127\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- relationship_Uncle < 0.00339946127\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- patient_name_Mirwa < 0.00111483026\n", "| | | | | | | | | |--- relationship_Nepfew >= 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- relationship_Nepfew < 1.0\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | |--- number_of_dependants < 1.0\n", "| | | | | |--- patient_suffix >= 0.579532802\n", "| | | | | | |--- patient_suffix >= 0.586663306\n", "| | | | | | | |--- patient_suffix >= 0.589543939\n", "| | | | | | | | |--- patient_suffix >= 0.593993306\n", "| | | | | | | | | |--- Fee Charged >= 0.443429887\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.443429887\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.593993306\n", "| | | | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.589543939\n", "| | | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | | |--- Fee Charged >= 0.473926663\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.473926663\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.586663306\n", "| | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | |--- Fee Charged >= 0.473926663\n", "| | | | | | | | | |--- number_of_claims >= 0.400001258\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- number_of_claims < 0.400001258\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.473926663\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- Fee Charged >= 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- Fee Charged >= 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_suffix < 0.579532802\n", "| | | | | | |--- patient_name_Dihwa >= 0.995122969\n", "| | | | | | | |--- member_name_Samvura >= 0.00623847637\n", "| | | | | | | | |--- Class: 0\n", "| | | | | | | |--- member_name_Samvura < 0.00623847637\n", "| | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_name_Dihwa < 0.995122969\n", "| | | | | | | |--- Fee Charged >= 0.491472512\n", "| | | | | | | | |--- patient_suffix >= 0.429675877\n", "| | | | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.429675877\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.491472512\n", "| | | | | | | | |--- Fee Charged >= 0.360201031\n", "| | | | | | | | | |--- patient_suffix >= 0.459399343\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.459399343\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.360201031\n", "| | | | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | |--- number_of_dependants < 0.701322854\n", "| | | | |--- number_of_dependants >= 0.674025774\n", "| | | | | |--- patient_suffix >= 0.579532802\n", "| | | | | | |--- patient_suffix >= 0.586663306\n", "| | | | | | | |--- patient_suffix >= 0.589543939\n", "| | | | | | | | |--- patient_suffix >= 0.593993306\n", "| | | | | | | | | |--- Fee Charged >= 0.443429887\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.443429887\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.593993306\n", "| | | | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- patient_suffix < 0.589543939\n", "| | | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | | |--- Fee Charged >= 0.473926663\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.473926663\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_suffix < 0.586663306\n", "| | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | |--- Fee Charged >= 0.473926663\n", "| | | | | | | | | |--- number_of_claims >= 0.400001258\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- number_of_claims < 0.400001258\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.473926663\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | |--- Fee Charged >= 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | |--- Fee Charged >= 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.434387326\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | |--- patient_suffix < 0.579532802\n", "| | | | | | |--- patient_name_Dihwa >= 0.995122969\n", "| | | | | | | |--- member_name_Samvura >= 0.00623847637\n", "| | | | | | | | |--- Class: 0\n", "| | | | | | | |--- member_name_Samvura < 0.00623847637\n", "| | | | | | | | |--- Class: 1\n", "| | | | | | |--- patient_name_Dihwa < 0.995122969\n", "| | | | | | | |--- Fee Charged >= 0.491472512\n", "| | | | | | | | |--- patient_suffix >= 0.429675877\n", "| | | | | | | | | |--- membership_period >= 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.415036172\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- patient_suffix < 0.429675877\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.491472512\n", "| | | | | | | | |--- Fee Charged >= 0.360201031\n", "| | | | | | | | | |--- patient_suffix >= 0.459399343\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.459399343\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.360201031\n", "| | | | | | | | | |--- gender_female >= 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- gender_female < 0.00273580593\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | |--- number_of_dependants < 0.674025774\n", "| | | | | |--- Fee Charged >= 0.773653924\n", "| | | | | | |--- Fee Charged >= 0.776583493\n", "| | | | | | | |--- Fee Charged >= 0.781288326\n", "| | | | | | | | |--- Fee Charged >= 0.790706158\n", "| | | | | | | | | |--- patient_suffix >= 0.182424918\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- patient_suffix < 0.182424918\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- Fee Charged < 0.790706158\n", "| | | | | | | | | |--- membership_period >= 0.381460667\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- membership_period < 0.381460667\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- Fee Charged < 0.781288326\n", "| | | | | | | | |--- membership_period >= 0.405010015\n", "| | | | | | | | | |--- membership_period >= 0.468333423\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- membership_period < 0.468333423\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- membership_period < 0.405010015\n", "| | | | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | |--- Fee Charged < 0.776583493\n", "| | | | | | | |--- membership_period >= 0.405010015\n", "| | | | | | | | |--- membership_period >= 0.468333423\n", "| | | | | | | | | |--- membership_period >= 0.481768787\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- membership_period < 0.481768787\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | |--- membership_period < 0.468333423\n", "| | | | | | | | | |--- patient_suffix >= 0.654060066\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.654060066\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | |--- membership_period < 0.405010015\n", "| | | | | | | | |--- cause_Other >= 0.00227577798\n", "| | | | | | | | | |--- location_Kadoma >= 0.000141330209\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- location_Kadoma < 0.000141330209\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- cause_Other < 0.00227577798\n", "| | | | | | | | | |--- patient_suffix >= 0.628476083\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- patient_suffix < 0.628476083\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | |--- Fee Charged < 0.773653924\n", "| | | | | | |--- Fee Charged >= 0.748608172\n", "| | | | | | | |--- membership_period >= 0.489104003\n", "| | | | | | | | |--- membership_period >= 0.503187954\n", "| | | | | | | | | |--- membership_period >= 0.514227808\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.514227808\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- membership_period < 0.503187954\n", "| | | | | | | | | |--- Fee Charged >= 0.759814143\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Fee Charged < 0.759814143\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- membership_period < 0.489104003\n", "| | | | | | | | |--- membership_period >= 0.468333423\n", "| | | | | | | | | |--- Fee Charged >= 0.759814143\n", "| | | | | | | | | | |--- Class: 0\n", "| | | | | | | | | |--- Fee Charged < 0.759814143\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- membership_period < 0.468333423\n", "| | | | | | | | | |--- number_of_dependants >= 0.00817416236\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- number_of_dependants < 0.00817416236\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | |--- Fee Charged < 0.748608172\n", "| | | | | | | |--- Fee Charged >= 0.74552983\n", "| | | | | | | | |--- membership_period >= 0.489104003\n", "| | | | | | | | | |--- membership_period >= 0.498764038\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.498764038\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- membership_period < 0.489104003\n", "| | | | | | | | | |--- membership_period >= 0.468333423\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.468333423\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | |--- Fee Charged < 0.74552983\n", "| | | | | | | | |--- Fee Charged >= 0.725467205\n", "| | | | | | | | | |--- membership_period >= 0.489104003\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- membership_period < 0.489104003\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | |--- Fee Charged < 0.725467205\n", "| | | | | | | | | |--- Fee Charged >= 0.722739697\n", "| | | | | | | | | | |--- Class: 1\n", "| | | | | | | | | |--- Fee Charged < 0.722739697\n", "| | | | | | | | | | |--- Class: 1\n" ] } ], "source": [ "# Get The Rule from Model\n", "model_apprx_xgb.tree.print_tree(feature_cols)" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "id": "JmN37x2rSLz7" }, "outputs": [ { "ename": "IndexError", "evalue": "index 6127 is out of bounds for axis 0 with size 14", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[46], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Get the decision paths for the input data\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m paths \u001b[38;5;241m=\u001b[39m \u001b[43mmodel_apprx_xgb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_decision_paths\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# Print the decision paths\u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, path \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(paths, start\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m):\n", "Cell \u001b[0;32mIn[8], line 97\u001b[0m, in \u001b[0;36mFBT.get_decision_paths\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_decision_paths\u001b[39m(\u001b[38;5;28mself\u001b[39m, X):\n\u001b[1;32m 92\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 93\u001b[0m \n\u001b[1;32m 94\u001b[0m \u001b[38;5;124;03m :param X: Pandas data frame of [number_of_instances, number_of_features] dimension\u001b[39;00m\n\u001b[1;32m 95\u001b[0m \u001b[38;5;124;03m :return: A list of decision paths where each decision path represented as a string of nodes. one node for the leaf and the other for the decision nodes\u001b[39;00m\n\u001b[1;32m 96\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 97\u001b[0m paths \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtree\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_decision_paths\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 98\u001b[0m processed_paths \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 99\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m path \u001b[38;5;129;01min\u001b[39;00m paths:\n", "Cell \u001b[0;32mIn[4], line 127\u001b[0m, in \u001b[0;36mTree.get_decision_paths\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m 125\u001b[0m paths \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 126\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m inst \u001b[38;5;129;01min\u001b[39;00m data\u001b[38;5;241m.\u001b[39mvalues:\n\u001b[0;32m--> 127\u001b[0m paths\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_instance_decision_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43minst\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 128\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m paths\n", "Cell \u001b[0;32mIn[4], line 100\u001b[0m, in \u001b[0;36mTree.get_instance_decision_path\u001b[0;34m(self, inst, result)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n\u001b[1;32m 99\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 100\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43minst\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mselected_feature\u001b[49m\u001b[43m]\u001b[49m \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mselected_value:\n\u001b[1;32m 101\u001b[0m result\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mselected_feature)\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m>=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39m\u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mselected_value))\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mleft\u001b[38;5;241m.\u001b[39mget_instance_decision_path(inst,result)\n", "\u001b[0;31mIndexError\u001b[0m: index 6127 is out of bounds for axis 0 with size 14" ] } ], "source": [ "# Get the decision paths for the input data\n", "paths = model_apprx_xgb.get_decision_paths(df)\n", "\n", "# Print the decision paths\n", "for i, path in enumerate(paths, start=1):\n", " print(f\"Path {i}: {' -> '.join(path)}\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "nenLuhlT4_SH" }, "outputs": [ { "data": { "text/plain": [ "[[{'node_index': '0',\n", " 'feature': 'number_of_claims',\n", " 'value': '0.0121381599',\n", " 'left': '1',\n", " 'right': '2',\n", " 'missing': '2'},\n", " {'node_index': '1',\n", " 'feature': 'patient_name_Chiri',\n", " 'value': '0.000141330209',\n", " 'left': '3',\n", " 'right': '4',\n", " 'missing': '4'},\n", " {'node_index': '3',\n", " 'feature': 'patient_name_Chisa',\n", " 'value': '0.00339718',\n", " 'left': '7',\n", " 'right': '8',\n", " 'missing': '8'},\n", " {'node_index': '7',\n", " 'feature': 'patient_name_Jembwa',\n", " 'value': '0.00164178468',\n", " 'left': '13',\n", " 'right': '14',\n", " 'missing': '14'},\n", " {'node_index': '13',\n", " 'feature': 'location_Bindura',\n", " 'value': '0.00426501827',\n", " 'left': '23',\n", " 'right': '24',\n", " 'missing': '24'},\n", " {'node_index': '23',\n", " 'feature': 'member_name_Gute',\n", " 'value': '0.00183079718',\n", " 'left': '39',\n", " 'right': '40',\n", " 'missing': '40'},\n", " {'node_index': '39', 'prediction': '-0.198047429'},\n", " {'node_index': '40', 'prediction': '0.0054794522'},\n", " {'node_index': '24',\n", " 'feature': 'location_Bindura',\n", " 'value': '0.979769707',\n", " 'left': '41',\n", " 'right': '42',\n", " 'missing': '42'},\n", " {'node_index': '41', 'prediction': '0.093617022'},\n", " {'node_index': '42', 'prediction': '-0.0714285746'},\n", " {'node_index': '14',\n", " 'feature': 'location_Rusape',\n", " 'value': '0.00951971579',\n", " 'left': '25',\n", " 'right': '26',\n", " 'missing': '26'},\n", " {'node_index': '25',\n", " 'feature': 'patient_suffix',\n", " 'value': '0.777530611',\n", " 'left': '43',\n", " 'right': '44',\n", " 'missing': '44'},\n", " {'node_index': '43', 'prediction': '0.0821917877'},\n", " {'node_index': '44', 'prediction': '-0.0173913054'},\n", " {'node_index': '26', 'prediction': '-0.0487804897'},\n", " {'node_index': '8',\n", " 'feature': 'patient_suffix',\n", " 'value': '0.589543939',\n", " 'left': '15',\n", " 'right': '16',\n", " 'missing': '16'},\n", " {'node_index': '15',\n", " 'feature': 'cause_Other',\n", " 'value': '0.00227577798',\n", " 'left': '27',\n", " 'right': '28',\n", " 'missing': '28'},\n", " {'node_index': '27', 'prediction': '0.116923086'},\n", " {'node_index': '28', 'prediction': '-0'},\n", " {'node_index': '16',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.117842019',\n", " 'left': '29',\n", " 'right': '30',\n", " 'missing': '30'},\n", " {'node_index': '29', 'prediction': '0.0190476198'},\n", " {'node_index': '30', 'prediction': '-0.0800000057'},\n", " {'node_index': '4',\n", " 'feature': 'patient_name_Chiri',\n", " 'value': '0.99323678',\n", " 'left': '9',\n", " 'right': '10',\n", " 'missing': '10'},\n", " {'node_index': '9', 'prediction': '0.147368416'},\n", " {'node_index': '10',\n", " 'feature': 'relationship_Wife',\n", " 'value': '0.000977808144',\n", " 'left': '17',\n", " 'right': '18',\n", " 'missing': '18'},\n", " {'node_index': '17',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.674025774',\n", " 'left': '31',\n", " 'right': '32',\n", " 'missing': '32'},\n", " {'node_index': '31',\n", " 'feature': 'location_Masvingo',\n", " 'value': '0.00526518421',\n", " 'left': '45',\n", " 'right': '46',\n", " 'missing': '46'},\n", " {'node_index': '45', 'prediction': '-0.0941176489'},\n", " {'node_index': '46', 'prediction': '-0'},\n", " {'node_index': '32',\n", " 'feature': 'Fee Charged',\n", " 'value': '0.522780061',\n", " 'left': '47',\n", " 'right': '48',\n", " 'missing': '48'},\n", " {'node_index': '47', 'prediction': '-0.0279069785'},\n", " {'node_index': '48', 'prediction': '0.0487804897'},\n", " {'node_index': '18', 'prediction': '0.0571428612'},\n", " {'node_index': '2',\n", " 'feature': 'number_of_claims',\n", " 'value': '0.200000003',\n", " 'left': '5',\n", " 'right': '6',\n", " 'missing': '6'},\n", " {'node_index': '5', 'prediction': '0.363171369'},\n", " {'node_index': '6',\n", " 'feature': 'number_of_claims',\n", " 'value': '0.202105433',\n", " 'left': '11',\n", " 'right': '12',\n", " 'missing': '12'},\n", " {'node_index': '11',\n", " 'feature': 'member_name_Jembwa',\n", " 'value': '0.00273580593',\n", " 'left': '19',\n", " 'right': '20',\n", " 'missing': '20'},\n", " {'node_index': '19',\n", " 'feature': 'member_name_Gura',\n", " 'value': '0.00150447013',\n", " 'left': '33',\n", " 'right': '34',\n", " 'missing': '34'},\n", " {'node_index': '33',\n", " 'feature': 'member_name_Dihwa',\n", " 'value': '0.000786541554',\n", " 'left': '49',\n", " 'right': '50',\n", " 'missing': '50'},\n", " {'node_index': '49', 'prediction': '-0.174307317'},\n", " {'node_index': '50', 'prediction': '0.0410256423'},\n", " {'node_index': '34',\n", " 'feature': 'Fee Charged',\n", " 'value': '0.819153428',\n", " 'left': '51',\n", " 'right': '52',\n", " 'missing': '52'},\n", " {'node_index': '51', 'prediction': '0.088888891'},\n", " {'node_index': '52', 'prediction': '-0.0465116315'},\n", " {'node_index': '20',\n", " 'feature': 'member_name_Jembwa',\n", " 'value': '1',\n", " 'left': '35',\n", " 'right': '36',\n", " 'missing': '36'},\n", " {'node_index': '35', 'prediction': '0.123076931'},\n", " {'node_index': '36',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.313616395',\n", " 'left': '53',\n", " 'right': '54',\n", " 'missing': '54'},\n", " {'node_index': '53', 'prediction': '0.0444444455'},\n", " {'node_index': '54', 'prediction': '-0.088888891'},\n", " {'node_index': '12',\n", " 'feature': 'number_of_claims',\n", " 'value': '0.400000006',\n", " 'left': '21',\n", " 'right': '22',\n", " 'missing': '22'},\n", " {'node_index': '21', 'prediction': '0.370186329'},\n", " {'node_index': '22',\n", " 'feature': 'number_of_claims',\n", " 'value': '0.400001258',\n", " 'left': '37',\n", " 'right': '38',\n", " 'missing': '38'},\n", " {'node_index': '37',\n", " 'feature': 'location_Marondera',\n", " 'value': '0.00242368761',\n", " 'left': '55',\n", " 'right': '56',\n", " 'missing': '56'},\n", " {'node_index': '55', 'prediction': '-0.177399755'},\n", " {'node_index': '56', 'prediction': '-0.0150375934'},\n", " {'node_index': '38',\n", " 'feature': 'number_of_claims',\n", " 'value': '0.600000024',\n", " 'left': '57',\n", " 'right': '58',\n", " 'missing': '58'},\n", " {'node_index': '57', 'prediction': '0.370370358'},\n", " {'node_index': '58', 'prediction': '-0.0255941506'}],\n", " [{'node_index': '0',\n", " 'feature': 'number_of_dependants',\n", " 'value': '1',\n", " 'left': '1',\n", " 'right': '2',\n", " 'missing': '2'},\n", " {'node_index': '1',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.674025774',\n", " 'left': '3',\n", " 'right': '4',\n", " 'missing': '4'},\n", " {'node_index': '3',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.666666687',\n", " 'left': '7',\n", " 'right': '8',\n", " 'missing': '8'},\n", " {'node_index': '7',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.333797455',\n", " 'left': '13',\n", " 'right': '14',\n", " 'missing': '14'},\n", " {'node_index': '13',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.333333343',\n", " 'left': '25',\n", " 'right': '26',\n", " 'missing': '26'},\n", " {'node_index': '25',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.00817416236',\n", " 'left': '41',\n", " 'right': '42',\n", " 'missing': '42'},\n", " {'node_index': '41', 'prediction': '-0.0757789239'},\n", " {'node_index': '42', 'prediction': '0.358034581'},\n", " {'node_index': '26',\n", " 'feature': 'member_name_Sithole',\n", " 'value': '0.0151872411',\n", " 'left': '43',\n", " 'right': '44',\n", " 'missing': '44'},\n", " {'node_index': '43', 'prediction': '-0.141146556'},\n", " {'node_index': '44', 'prediction': '0.0592335574'},\n", " {'node_index': '14', 'prediction': '0.353725255'},\n", " {'node_index': '8',\n", " 'feature': 'patient_name_Gweta',\n", " 'value': '0.0028612006',\n", " 'left': '15',\n", " 'right': '16',\n", " 'missing': '16'},\n", " {'node_index': '15',\n", " 'feature': 'patient_name_Sibanda',\n", " 'value': '0.00149975682',\n", " 'left': '27',\n", " 'right': '28',\n", " 'missing': '28'},\n", " {'node_index': '27',\n", " 'feature': 'patient_name_Peterson',\n", " 'value': '0.00242368761',\n", " 'left': '45',\n", " 'right': '46',\n", " 'missing': '46'},\n", " {'node_index': '45', 'prediction': '-0.176064774'},\n", " {'node_index': '46', 'prediction': '0.00581385521'},\n", " {'node_index': '28',\n", " 'feature': 'patient_name_Sibanda',\n", " 'value': '0.997762382',\n", " 'left': '47',\n", " 'right': '48',\n", " 'missing': '48'},\n", " {'node_index': '47', 'prediction': '0.167774022'},\n", " {'node_index': '48', 'prediction': '-0.0969295129'},\n", " {'node_index': '16',\n", " 'feature': 'patient_name_Gweta',\n", " 'value': '0.967727423',\n", " 'left': '29',\n", " 'right': '30',\n", " 'missing': '30'},\n", " {'node_index': '29', 'prediction': '0.135892555'},\n", " {'node_index': '30',\n", " 'feature': 'membership_period',\n", " 'value': '0.70441097',\n", " 'left': '49',\n", " 'right': '50',\n", " 'missing': '50'},\n", " {'node_index': '49', 'prediction': '-0.0756920204'},\n", " {'node_index': '50', 'prediction': '0.0514064506'},\n", " {'node_index': '4', 'prediction': '0.348635137'},\n", " {'node_index': '2',\n", " 'feature': 'relationship_Mother',\n", " 'value': '0.00288834516',\n", " 'left': '5',\n", " 'right': '6',\n", " 'missing': '6'},\n", " {'node_index': '5',\n", " 'feature': 'patient_name_Gweta',\n", " 'value': '0.0028612006',\n", " 'left': '9',\n", " 'right': '10',\n", " 'missing': '10'},\n", " {'node_index': '9',\n", " 'feature': 'member_name_Geta',\n", " 'value': '0.00478641829',\n", " 'left': '17',\n", " 'right': '18',\n", " 'missing': '18'},\n", " {'node_index': '17',\n", " 'feature': 'member_name_Chisa Chisi',\n", " 'value': '0.00196364545',\n", " 'left': '31',\n", " 'right': '32',\n", " 'missing': '32'},\n", " {'node_index': '31',\n", " 'feature': 'employer_Cogibox',\n", " 'value': '0.00733989198',\n", " 'left': '51',\n", " 'right': '52',\n", " 'missing': '52'},\n", " {'node_index': '51', 'prediction': '-0.16177018'},\n", " {'node_index': '52', 'prediction': '0.0871717185'},\n", " {'node_index': '32',\n", " 'feature': 'member_name_Chisa Chisi',\n", " 'value': '0.998495519',\n", " 'left': '53',\n", " 'right': '54',\n", " 'missing': '54'},\n", " {'node_index': '53', 'prediction': '0.156349748'},\n", " {'node_index': '54', 'prediction': '-0.0814968869'},\n", " {'node_index': '18',\n", " 'feature': 'member_name_Geta',\n", " 'value': '0.850503504',\n", " 'left': '33',\n", " 'right': '34',\n", " 'missing': '34'},\n", " {'node_index': '33', 'prediction': '0.152116641'},\n", " {'node_index': '34',\n", " 'feature': 'patient_name_Foto',\n", " 'value': '0.00253826613',\n", " 'left': '55',\n", " 'right': '56',\n", " 'missing': '56'},\n", " 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'0.00273580593',\n", " 'left': '23',\n", " 'right': '24',\n", " 'missing': '24'},\n", " {'node_index': '23',\n", " 'feature': 'patient_name_Moyo',\n", " 'value': '0.0145433191',\n", " 'left': '43',\n", " 'right': '44',\n", " 'missing': '44'},\n", " {'node_index': '43',\n", " 'feature': 'Fee Charged',\n", " 'value': '0.835538149',\n", " 'left': '71',\n", " 'right': '72',\n", " 'missing': '72'},\n", " {'node_index': '71', 'prediction': '-0.0950138345'},\n", " {'node_index': '72', 'prediction': '0.00112070411'},\n", " {'node_index': '44', 'prediction': '0.0132588064'},\n", " {'node_index': '24', 'prediction': '0.022486208'},\n", " {'node_index': '12',\n", " 'feature': 'membership_period',\n", " 'value': '0.955955029',\n", " 'left': '25',\n", " 'right': '26',\n", " 'missing': '26'},\n", " {'node_index': '25', 'prediction': '0.0429269485'},\n", " {'node_index': '26', 'prediction': '-0.0110773984'},\n", " {'node_index': '6',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.992351711',\n", " 'left': '13',\n", " 'right': '14',\n", " 'missing': '14'},\n", " {'node_index': '13',\n", " 'feature': 'patient_suffix',\n", " 'value': '0.569521666',\n", " 'left': '27',\n", " 'right': '28',\n", " 'missing': '28'},\n", " {'node_index': '27',\n", " 'feature': 'membership_period',\n", " 'value': '0.314996421',\n", " 'left': '45',\n", " 'right': '46',\n", " 'missing': '46'},\n", " {'node_index': '45', 'prediction': '-0.0149440831'},\n", " {'node_index': '46',\n", " 'feature': 'Fee Charged',\n", " 'value': '0.631720364',\n", " 'left': '73',\n", " 'right': '74',\n", " 'missing': '74'},\n", " {'node_index': '73', 'prediction': '0.0696130171'},\n", " {'node_index': '74', 'prediction': '0.00368048623'},\n", " {'node_index': '28',\n", " 'feature': 'number_of_dependants',\n", " 'value': '0.00817416236',\n", " 'left': '47',\n", " 'right': '48',\n", " 'missing': '48'},\n", " {'node_index': '47', 'prediction': '-0.0245932527'},\n", " {'node_index': '48', 'prediction': '0.0179977491'},\n", " {'node_index': '14', 'prediction': '-0.0277949031'}]]" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "extractNodesFromModel(model_xgb)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "muYZ9XWT3NEc" }, "outputs": [ { "ename": "AttributeError", "evalue": "'FBT' object has no attribute 'set_ordered_splitting_points'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[60], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mmodel_apprx_xgb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_ordered_splitting_points\u001b[49m()\n", "\u001b[0;31mAttributeError\u001b[0m: 'FBT' object has no attribute 'set_ordered_splitting_points'" ] } ], "source": [ "model_apprx_xgb.set_ordered_splitting_points()" ] } ], 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