{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Status1-methylguanidineN-acetyl-cadaverineO-acetylhomoserineN2-acetyllysine7-hydroxyindole sulfateS-methylmethioninevanillic alcohol sulfate4-hydroxyphenylacetatehistamine...ranitidinesalicylatesalicyluric glucuronide*sitagliptinsulfamethoxazoletopiramatetrazadonevalsartanvenlafaxineverapamil
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5 rows × 833 columns

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" ], "text/plain": [ " Status 1-methylguanidine N-acetyl-cadaverine O-acetylhomoserine \\\n", "0 0 63132 62600 71429 \n", "1 0 63132 337643 71429 \n", "2 0 63132 2962003 99532 \n", "3 0 63132 62600 71429 \n", "4 0 63132 230515 71429 \n", "\n", " N2-acetyllysine 7-hydroxyindole sulfate S-methylmethionine \\\n", "0 23592 13383 31798 \n", "1 23592 13383 1169579 \n", "2 23592 13383 31798 \n", "3 23592 13383 1389852 \n", "4 109022 13383 527665 \n", "\n", " vanillic alcohol sulfate 4-hydroxyphenylacetate histamine ... \\\n", "0 29953 110670 63069 ... \n", "1 338675 85664 63069 ... \n", "2 22420 423777 63069 ... \n", "3 22420 85664 284701 ... \n", "4 22420 85664 1296789 ... \n", "\n", " ranitidine salicylate salicyluric glucuronide* sitagliptin \\\n", "0 56282868 2966160 104022 0 \n", "1 0 5288566 441107 0 \n", "2 0 1685306 34181 0 \n", "3 0 2044134 27921 0 \n", "4 0 1136726 47567 0 \n", "\n", " sulfamethoxazole topiramate trazadone valsartan venlafaxine verapamil \n", "0 0 0 0 0 0 0 \n", "1 0 0 0 0 0 0 \n", "2 0 0 0 0 0 0 \n", "3 0 0 0 0 0 0 \n", "4 0 0 0 0 0 0 \n", "\n", "[5 rows x 833 columns]" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "data = pd.read_csv('Supplementary_File_1.csv')\n", "data.head()" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 51 entries, 0 to 50\n", "Columns: 833 entries, Status to verapamil\n", "dtypes: int64(833)\n", "memory usage: 332.0 KB\n" ] } ], "source": [ "data.info()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0\n", "1 0\n", "2 0\n", "3 0\n", "4 0\n", "Name: Status, dtype: int64" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X = data.drop([\"Status\"], axis=1)\n", "y= data[\"Status\"].copy()\n", "y.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# from sklearn.model_selection import train_test_split\n", "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 0)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Preproccesing" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[-0.21317734, -0.28255035, -0.1764019 , ..., 0. ,\n", " -0.18548648, -0.14142136],\n", " [-0.21317734, 0.26961224, -0.1764019 , ..., 0. ,\n", " -0.18548648, -0.14142136],\n", " [-0.21317734, 5.53814635, -0.17375892, ..., 0. ,\n", " -0.18548648, -0.14142136],\n", " ...,\n", " [-0.21317734, -0.28255035, -0.1626828 , ..., 0. ,\n", " -0.18548648, -0.14142136],\n", " [-0.21317734, -0.28255035, -0.1764019 , ..., 0. ,\n", " -0.18548648, -0.14142136],\n", " [-0.21317734, -0.28255035, -0.1714498 , ..., 0. ,\n", " -0.18548648, -0.14142136]])" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.preprocessing import StandardScaler\n", "\n", "scalar = StandardScaler()\n", "X = scalar.fit_transform(X)\n", "X" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## ANOVA" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n" ] }, { "data": { "text/plain": [ "(51, 50)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.feature_selection import SelectKBest, f_classif\n", "\n", "selector = SelectKBest(f_classif, k=50)\n", "X_reduced = selector.fit_transform(X, y)\n", "X_reduced.shape" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "# Get the F-values and feature names\n", "f_values = selector.scores_\n", "\n", "\n", "cols_idxs = selector.get_support(indices=True)\n", "feature_df_new = data.iloc[:,cols_idxs]\n", "feature_names = feature_df_new.columns\n", "F_values = f_values[cols_idxs]\n", "\n", "# Sort the features by F-value in descending order\n", "sorted_indices = F_values.argsort()\n", "sorted_F_values = F_values[sorted_indices]\n", "sorted_feature_names = feature_names[sorted_indices]\n", "\n", "\n", "# Plot the sorted F-values for each feature\n", "plt.figure(figsize=(8,13))\n", "plt.barh(sorted_feature_names, sorted_F_values, height=0.7)\n", "plt.xticks(rotation=0, ha='right')\n", "plt.xlabel('F-value', fontsize=15)\n", "plt.ylabel('Features', fontsize=15)\n", "plt.yticks(fontsize=12)\n", "plt.xlim(0, 12)\n", "# Set tick label font size\n", "plt.tick_params(labelsize=12)\n", "\n", "plt.autoscale(enable=True, axis='y', tight=True)\n", "\n", "#plt.title('ANOVA Feature Selection', fontsize=20)\n", "plt.grid(axis='x', linestyle=':', linewidth = 0.9)\n", "for i, v in enumerate(sorted_F_values):\n", " plt.text(v+0.5, i-0.29, f'{sorted_F_values[i]:.2f}', ha='center')\n", "#plt.tight_layout()\n", "# Save plot as PDF\n", "plt.savefig(\"f_values_ver2.svg\", bbox_inches=\"tight\")\n", "\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(50,)" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_names.shape" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Performance Per nfeatures" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n", "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n", "from mpl_toolkits.axisartist.axislines import SubplotZero\n", "from sklearn.metrics import accuracy_score, balanced_accuracy_score, f1_score, confusion_matrix, roc_auc_score, roc_curve, precision_recall_curve\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "from IPython.display import HTML, display, clear_output\n", "from sklearn.metrics import auc\n", "\n", "\n", "\n", "matplotlib.rcdefaults()\n", "plt.rcParams.update({'xtick.labelsize':10, \n", " 'ytick.labelsize':10,\n", " 'legend.fontsize':12,\n", " 'axes.edgecolor' : 'black',\n", " 'legend.title_fontsize' : 15,\n", " 'figure.figsize': (12,12),\n", " 'axes.labelsize' :18})\n", "\n", "\n", "def mplot(y, ax, lw = 1):\n", " f_x, t_x, _ = roc_curve(y, pred1)\n", " f_l, t_l, _ = roc_curve(y, pred2)\n", " f_g, t_g, _ = roc_curve(y, pred3)\n", " f_b, t_b, _ = roc_curve(y, pred4)\n", " # f_RN51, t_RN51, _ = roc_curve(y, y_prob)\n", "\n", " ax.axis['top'].set_visible(False)\n", " ax.axis['right'].set_visible(False)\n", " ax.spines['bottom'].set_color('black')\n", " ax.spines['left'].set_color('black')\n", "\n", " ax.plot(f_x, t_x, color=\"#E53935\", lw=lw, label= f\" (AUC = {auc(f_x, t_x):.4f}) XGBoost \")\n", " ax.plot(f_l, t_l, color=\"#4FC3F7\", lw=lw, label= f\" (AUC = {auc(f_l, t_l):.4f}) SVC \")\n", " ax.plot(f_g, t_g, color=\"#66BB6A\", lw=lw, label= f\" (AUC = {auc(f_g, t_g):.4f}) LogisticRegression \")\n", " ax.plot(f_b, t_b, color=\"#CF7345\", lw=lw, label= f\" (AUC = {auc(f_b, t_b):.4f}) RandomForest \")\n", " # ax.plot(f_RN51, t_RN51, color=\"#000000\", lw=lw, label= f\" (AUC = {auc(f_RN51, t_RN51):.4f}) Hard Voting \")\n", " ax.plot([0, 1], [0, 1], color=\"#ECEFF1\", lw=2.5, linestyle=\"--\")\n", "\n", " \n", "\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:112: UserWarning: Features [241 759 775 792 794 804 805 811 812 814 815 820 829] are constant.\n", " warnings.warn(\"Features %s are constant.\" % constant_features_idx, UserWarning)\n", "c:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\feature_selection\\_univariate_selection.py:113: RuntimeWarning: invalid value encountered in true_divide\n", " f = msb / msw\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n", "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n", "from mpl_toolkits.axisartist.axislines import SubplotZero\n", "from sklearn.metrics import accuracy_score, balanced_accuracy_score, f1_score, confusion_matrix, roc_auc_score, roc_curve, precision_recall_curve\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "from IPython.display import HTML, display, clear_output\n", "from sklearn.metrics import auc\n", "\n", "\n", "from xgboost import XGBClassifier\n", "xgb_model = XGBClassifier(booster='gblinear', learning_rate=0.19)\n", "\n", "from sklearn.linear_model import LogisticRegression\n", "lr_model = LogisticRegression(random_state = 42) #96.15: ANOVA50 4fold # 94.13 7fold ANOVA50\n", "\n", "from sklearn.ensemble import RandomForestClassifier\n", "rf_model = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 42) \n", "\n", "from sklearn.svm import SVC\n", "svc_model = SVC(kernel = 'linear', random_state = 42, probability=True) \n", "\n", "from sklearn.tree import DecisionTreeClassifier\n", "dt_model = DecisionTreeClassifier(criterion = 'entropy', random_state = 42) \n", "\n", "from sklearn.naive_bayes import GaussianNB\n", "nb_model = GaussianNB() \n", "\n", "\n", "k_values = [25,50,100,150,200,250,300,350,400,450,500,550,600,650,700,750,800,832]\n", "\n", "# Initialize lists to store the evaluation metrics\n", "xgb_accuracy = []\n", "lr_accuracy = []\n", "svc_accuracy= []\n", "rf_accuracy = []\n", "nb_accuracy = []\n", "dt_accuracy = []\n", "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n", "# Loop through the k_values and select the top k features using ANOVA\n", "for k in k_values[::-1]:\n", " selector = SelectKBest(f_classif, k=k)\n", " X_train_selected = selector.fit_transform(X, y)\n", " # Train an XGBoost model on the selected features\n", " \n", " # Make predictions on the validation set and calculate accuracy\n", " \n", " xgb_accuracy_sc =cross_val_score(xgb_model, X_train_selected, y, cv=kf, scoring='accuracy')\n", " xgb_accuracy.append(xgb_accuracy_sc.mean()*100)\n", "\n", " rf_accuracy_sc =cross_val_score(rf_model, X_train_selected, y, cv=kf, scoring='accuracy')\n", " rf_accuracy.append(rf_accuracy_sc.mean()*100)\n", "\n", " svc_accuracy_sc =cross_val_score(svc_model, X_train_selected, y, cv=kf, scoring='accuracy')\n", " svc_accuracy.append(svc_accuracy_sc.mean()*100)\n", "\n", " lr_accuracy_sc =cross_val_score(lr_model, X_train_selected, y, cv=kf, scoring='accuracy')\n", " lr_accuracy.append(lr_accuracy_sc.mean()*100)\n", "\n", " dt_accuracy_sc =cross_val_score(dt_model, X_train_selected, y, cv=kf, scoring='accuracy')\n", " dt_accuracy.append(dt_accuracy_sc.mean()*100)\n", "\n", " nb_accuracy_sc =cross_val_score(nb_model, X_train_selected, y, cv=kf, scoring='accuracy')\n", " nb_accuracy.append(nb_accuracy_sc.mean()*100)\n", "\n", "\n", "lw=1\n", "# Plot the performance metrics as a function of the number of features\n", "matplotlib.rcdefaults()\n", "plt.rcParams.update({'xtick.labelsize':10, \n", " 'ytick.labelsize':10,\n", " 'legend.fontsize':12,\n", " 'axes.edgecolor' : 'black',\n", " 'legend.title_fontsize' : 15,\n", " 'figure.figsize': (12,12),\n", " 'axes.labelsize' :18})\n", "\n", "#fig, ax = plt.subplots()\n", "fig = plt.figure(1)\n", "ax = SubplotZero(fig, 111)\n", "fig.add_subplot(ax)\n", "\n", "\n", "ax.axis['top'].set_visible(False)\n", "ax.axis['right'].set_visible(False)\n", "ax.spines['bottom'].set_color('black')\n", "ax.spines['left'].set_color('black')\n", "ax.plot(834, 105, ls=\"\", marker=\"^\", ms=10, color=\"k\", clip_on=False)\n", "ax.plot(0, -0.05, ls=\"\", marker=\">\", ms=10, color=\"k\", clip_on=False)\n", "ax.set_ylim((-0.05), (105))\n", "ax.set_xlim((-0.05), (833))\n", "ax.grid(linewidth = 0.4, color='#C3C3C3')\n", "ax.set_facecolor('white')\n", "\n", "\n", "\n", "\n", "k_values_x= [833,800,750,700,650,600,550,500,450,400,350,300,250,200,150,100,50]\n", "ax.plot(k_values[::-1], xgb_accuracy, color=\"#E53935\", lw=lw, label= \"XGBoost \")\n", "ax.plot(k_values[::-1], svc_accuracy, color=\"#4FC3F7\", lw=lw, label= \"SVC \")\n", "ax.plot(k_values[::-1], lr_accuracy, color=\"#2FFF38\", lw=lw, label= \"LogisticRegression \")\n", "ax.plot(k_values[::-1], rf_accuracy, color=\"#CF7345\", lw=lw, label= \"RandomForest \")\n", "ax.plot(k_values[::-1], dt_accuracy, color=\"#FF1AD5\", lw=lw, label= \"Decision Tree \")\n", "ax.plot(k_values[::-1], nb_accuracy, color=\"#9952FF\", lw=lw, label= \"Naïve Bayes \")\n", "\n", "\n", "ax.set_xlabel('Number of Features')\n", "ax.set_ylabel('Accuracy (%)')\n", "\n", "ax.set_xticks(k_values_x)\n", "ax.invert_xaxis()\n", "ax.legend()\n", "leg = plt.legend(loc=\"lower center\")\n", "plt.savefig(\"performance_per_nfeatures_2.svg\", format=\"svg\", bbox_inches='tight')\n", "plt.show()\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Models" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 98.18181818181819\n", "roc_auc: 100.0\n", "f1: 98.66666666666667\n" ] } ], "source": [ "from sklearn.model_selection import KFold, cross_val_score\n", "from sklearn.metrics import confusion_matrix, accuracy_score\n", "\n", "\n", "# import lightgbm as lgb\n", "# model = lgb.LGBMClassifier()\n", "\n", " \n", "\n", "from xgboost import XGBClassifier\n", "model = XGBClassifier(booster='gblinear', learning_rate=0.19) #learning_rate=0.9 with 833ftrs\n", "\n", "# from sklearn.ensemble import BaggingClassifier\n", "# model = BaggingClassifier()\n", "\n", "# from sklearn.linear_model import SGDClassifier\n", "# # model = SGDClassifier(random_state=42)\n", "\n", "from sklearn.ensemble import RandomForestClassifier\n", "#model = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 42) #86.53: ANOVA50 #ANOVA50 7fold: 92\n", "\n", "from sklearn.tree import DecisionTreeClassifier\n", "#model = DecisionTreeClassifier(criterion = 'entropy', random_state = 42) \n", "\n", "from sklearn.svm import SVC\n", "#model = SVC(kernel = 'linear', random_state = 42, probability=True) #72.27 #96.15: ANOVA50 4fold # 94.13 7fold ANOVA50\n", "\n", "from sklearn.naive_bayes import GaussianNB\n", "#model = GaussianNB() #96.15: ANOVA50 4fold # 94.13 7fold ANOVA50\n", "\n", "from sklearn.linear_model import LogisticRegression\n", "#model = LogisticRegression(random_state = 42) #96.15: ANOVA50 4fold # 94.13 7fold ANOVA50\n", "\n", "\n", "# model.fit(X_train, y_train)\n", "# y_pred = model.predict(X_test)\n", "# cm = confusion_matrix(y_test, y_pred)\n", "# print(cm)\n", "# accuracy_score(y_test, y_pred)\n", "\n", "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n", "accuracy = cross_val_score(model, X_reduced, y, cv=kf, scoring='accuracy')\n", "print('Accuracy: ', accuracy.mean()*100)\n", "auc = cross_val_score(model, X_reduced, y, cv=kf, scoring='roc_auc')\n", "print('roc_auc: ', auc.mean()*100)\n", "f1 = cross_val_score(model, X_reduced, y, cv=kf, scoring='f1')\n", "print('f1: ', f1.mean()*100)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Grid Search" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:06] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:07] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:08] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:09] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:10] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:11] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:12] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:13] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:14] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:15] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:16] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:17] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:18] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:19] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:20] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:22] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:23] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:24] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:25] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:26] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:27] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:28] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:29] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:30] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:31] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:32] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:33] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:34] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:35] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:36] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:37] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:38] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:39] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:40] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:41] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:42] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:43] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:44] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:45] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:46] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:47] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:48] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:49] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:50] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:51] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:52] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:53] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:54] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:55] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:22:56] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n", "[21:25:21] WARNING: C:/Users/administrator/workspace/xgboost-win64_release_1.6.0/src/learner.cc:627: \n", "Parameters: { \"gamma\", \"max_depth\" } might not be used.\n", "\n", " This could be a false alarm, with some parameters getting used by language bindings but\n", " then being mistakenly passed down to XGBoost core, or some parameter actually being used\n", " but getting flagged wrongly here. Please open an issue if you find any such cases.\n", "\n", "\n" ] }, { "data": { "text/plain": [ "GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),\n", " estimator=XGBClassifier(base_score=None, booster=None,\n", " callbacks=None, colsample_bylevel=None,\n", " colsample_bynode=None,\n", " colsample_bytree=None,\n", " early_stopping_rounds=None,\n", " enable_categorical=False, eval_metric=None,\n", " gamma=None, gpu_id=None, grow_policy=None,\n", " importance_type=None,\n", " interaction_constraint...\n", " max_leaves=None, min_child_weight=None,\n", " missing=nan, monotone_constraints=None,\n", " n_estimators=100, n_jobs=None,\n", " num_parallel_tree=None, predictor=None,\n", " random_state=None, reg_alpha=None,\n", " reg_lambda=None, ...),\n", " param_grid={'booster': ['gblinear', 'dart'],\n", " 'gamma': [0, 0.1, 1, 7],\n", " 'learning_rate': [0.5, 0.6, 0.7, 1, 2],\n", " 'max_depth': [2, 3, 4, 7, 10, 15],\n", " 'n_estimators': [1, 10, 30, 50, 70]},\n", " scoring='accuracy')" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.model_selection import GridSearchCV\n", "\n", "\n", "# param_grid = {\n", "# 'n_estimators': [2,4,6,8,10],\n", " \n", "# 'max_depth' : [2,3,5,7],\n", " \n", "# 'criterion' : [ \"entropy\"]\n", "# } \n", "\n", "param_grid = {\n", " 'learning_rate': [ 0.5, 0.6, 0.7, 1, 2],\n", " 'max_depth': [2,3, 4, 7, 10, 15],\n", " \n", " 'gamma': [0, 0.1, 1, 7],\n", "\n", " 'booster':[\"gblinear\" , \"dart\"],\n", " 'n_estimators': [1, 10, 30, 50, 70]\n", "}\n", "\n", "\n", "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n", "grid_search = GridSearchCV(estimator=model, param_grid=param_grid, cv=kf, scoring='accuracy', refit=True)\n", "# refit=True: refit an estimator using the best found parameters on the whole dataset. # cv: k-fold cross-validation\n", "\n", "grid_search.fit(X_reduced, y)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Best Accuracy: 98.18 %\n", "{'booster': 'gblinear', 'gamma': 0, 'learning_rate': 0.5, 'max_depth': 2, 'n_estimators': 50}\n", "XGBClassifier(base_score=0.5, booster='gblinear', callbacks=None,\n", " colsample_bylevel=None, colsample_bynode=None,\n", " colsample_bytree=None, early_stopping_rounds=None,\n", " enable_categorical=False, eval_metric=None, gamma=0, gpu_id=-1,\n", " grow_policy=None, importance_type=None,\n", " interaction_constraints=None, learning_rate=0.5, max_bin=None,\n", " max_cat_to_onehot=None, max_delta_step=None, max_depth=2,\n", " max_leaves=None, min_child_weight=None, missing=nan,\n", " monotone_constraints=None, n_estimators=50, n_jobs=0,\n", " num_parallel_tree=None, predictor=None, random_state=0,\n", " reg_alpha=0, reg_lambda=0, ...)\n" ] } ], "source": [ "print(\"Best Accuracy: {:.2f} %\".format(grid_search.best_score_*100))\n", "print(grid_search.best_params_)\n", "print(grid_search.best_estimator_)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Pearson Correlation" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Status 1.000000\n", "gamma-glutamylthreonine 0.398611\n", "alpha-ketoglutarate 0.382099\n", "tauroursodeoxycholate 0.371904\n", "serine 0.370319\n", " ... \n", "norfluoxetine NaN\n", "o-hydroxyatorvastatin lactone NaN\n", "olmesartan NaN\n", "quetiapine NaN\n", "valsartan NaN\n", "Name: Status, Length: 833, dtype: float64" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Original Data\n", "\n", "corr_matrix = data.corr()\n", "corr_matrix[\"Status\"].sort_values(ascending=False)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Pearson Correlation')" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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iD4kihR2AiIjIf1FeXh4///wzzs7OmEymwg5HRERERERE/uMsFgu///47ZcqUwcbmxvuAlRAWERH5F/z88894e3sXdhgiIiIiIiLykDl16hTlypW74XUlhEVERP4Fzs7OwJ//ELu4uBRyNCIiIiIiIvJfl5mZibe3t/F79EaUEBYREfmbsLAwLly4wKpVqwAICgqiVq1azJgxo8BzXCsT4eLiooSwiIiIiIiI3DO3KluohLCIiMjfxMXFYbFYCjsMERERERERkbtOCWEREbmncnJyKFq0aGGHcVOurq6FHYKIyL/CZ9Sawg6h0KVOaVvYIYiIiIgUqhu/bk5ERB568+bNo0yZMuTl5Vm1t2/fnj59+gDw+eefU6dOHYoVK0bFihWJjo7m6tWrRl+TycS7777LU089hZOTE5MmTSI3N5fw8HB8fX1xcHDA39+fuLg4qzXCwsLo0KED0dHReHp64uLiwsCBA7ly5YrRZ+3atTz++OO4ubnh4eFBu3btSElJMa6npqZiMplYvnw5TZo0wcHBgfr163Ps2DF2795NvXr1MJvNtG7dmjNnzuRbW0REREREROS/RglhERG5oS5dunD27Fk2b95stJ07d461a9fSo0cPtm3bRq9evXj55Zc5cuQIc+fOJT4+nkmTJlnNExUVRceOHTl06BB9+vQhLy+PcuXK8cknn3DkyBHGjh3Lq6++yvLly63Gbdq0ieTkZBISEvjoo4/47LPPiI6ONq5fvHiRYcOGsWfPHjZt2oSNjQ0dO3bMl8AeN24cr7/+Ovv27aNIkSI8++yzjBgxgri4OLZt28aJEycYO3bsHT2r7OxsMjMzrQ4RERERERGR+41KRoiIyA0VL16c1q1b8+GHH9KiRQsAVqxYQYkSJXjiiSd48sknGTVqFL179wagYsWKTJgwgREjRjBu3DhjnmeffZbnn3/eau6/JnZ9fX359ttvWb58OV27djXa7ezseP/993F0dOSRRx5h/PjxDB8+nAkTJmBjY0Pnzp2t5nz//ffx9PTkyJEjPProo0Z7ZGQkwcHBALz88st0796dTZs20bhxYwDCw8OJj4+/o2cVExNjdU8iIiIiIiIi9yPtEBYRkZvq0aMHn376KdnZ2QAsXbqUZ555BhsbGw4ePMj48eMxm83G0a9fP9LT07l06ZIxR7169fLN+84771C3bl08PT0xm83MmzePtLQ0qz41a9bE0dHROA8MDCQrK4tTp04BcPz4cbp3707FihVxcXHBx8cHIN88NWrUMD6XKlUKgICAAKu206dP/5PHYxg9ejQZGRnGcS1GERERERERkfuJdgiLiMhNhYaGYrFYWLNmDfXr12fbtm1Mnz4dgKysLKKjo+nUqVO+ccWKFTM+Ozk5WV1btmwZkZGRxMbGEhgYiLOzM2+99RZJSUm3HVuFChWYP3++Uev40UcftaozDFi9xM5kMl237e9lJm6Xvb099vb2dzSHiIiIiIiIyL9NCWEREbmpYsWK0alTJ5YuXcqJEyfw9/enTp06ANSpU4ejR49SuXLl25ozMTGRRo0aMWjQIKPtry+Du+bgwYP88ccfODg4ALBz507MZjPe3t6cPXuWo0ePMn/+fJo0aQLA9u3b/+ltioiIiIiIiDwUlBAWEZFb6tGjB+3ateP777/nueeeM9rHjh1Lu3btKF++PE8//bRRRuLw4cNMnDjxhvP5+fmxePFi1q1bh6+vL0uWLGH37t34+vpa9bty5Qrh4eG8/vrrpKamMm7cOCIiIrCxsaF48eJ4eHgwb948vLy8SEtLY9SoUf/aMxAR+S9IndK2sEMQERERkUKmGsIiInJLzZs3x93dnaNHj/Lss88a7cHBwXz55ZesX7+e+vXr89hjjzF9+nQqVKhw0/kGDBhAp06d6NatGw0bNuTs2bNWu4WvadGiBX5+fjRt2pRu3brx1FNPERUVBYCNjQ3Lli1j7969PProowwdOpS33nrrrt63iIiIiIiIyH+NyWKxWAo7CBERkb8LCwvjwoULrFq1qrBD+UcyMzNxdXUlIyMDFxeXwg5HRERERERE/uMK+jtUO4RFREREREREREREHhJKCIuIiIiIiIiIiIg8JJQQFhGRuy4hIQGTycSFCxcKPMZisdC/f3/c3d0xmUwMGTLkrpSL8PHxYcaMGXc8j4iIiIiIiMh/QZHCDkBERARg7dq1xMfHk5CQQMWKFSlRosRdmXf37t04OTndlblEREREREREHnRKCIuIyH0hJSUFLy8vGjVqdFfn9fT0vKvziYg8yHxGrSnsEP5zUqe0LewQRERERG6LSkaIiDxk5s2bR5kyZcjLy7Nqb9++PX369AHg888/p06dOhQrVoyKFSsSHR3N1atXjb4mk4kFCxbQsWNHHB0d8fPzY/Xq1Tdc8+zZs3Tv3p2yZcvi6OhIQEAAH330kXE9LCyMl156ibS0NEwmEz4+PsCfu4Yff/xx3Nzc8PDwoF27dqSkpBjjFi9ejNls5vjx40bboEGDqFq1KpcuXQLyl4woSOyHDx+mdevWmM1mSpUqRc+ePfntt98K+IRFRERERERE7l9KCIuIPGS6dOnC2bNn2bx5s9F27tw51q5dS48ePdi2bRu9evXi5Zdf5siRI8ydO5f4+HgmTZpkNU90dDRdu3blu+++o02bNvTo0YNz585dd83Lly9Tt25d1qxZw+HDh+nfvz89e/Zk165dAMTFxTF+/HjKlStHeno6u3fvBuDixYsMGzaMPXv2sGnTJmxsbOjYsaORzO7Vq5ex9tWrV1mzZg0LFixg6dKlODo63vAZ3Cz2Cxcu0Lx5c2rXrs2ePXtYu3Ytv/76K127dr3pc83OziYzM9PqEBEREREREbnfKCEsIvKQKV68OK1bt+bDDz802lasWEGJEiV44okniI6OZtSoUfTu3ZuKFSvSqlUrJkyYwNy5c63mCQsLo3v37lSuXJnJkyeTlZVlJHj/rmzZskRGRlKrVi0qVqzISy+9REhICMuXLwfA1dUVZ2dnbG1tKV26tFHmoXPnznTq1InKlStTq1Yt3n//fQ4dOsSRI0eMuefOnUt6ejqDBw8mPDycqKgo6tate9NncLPYZ82aRe3atZk8eTJVq1aldu3avP/++2zevJljx47dcM6YmBhcXV2Nw9vb+6YxiIiIiIiIiBQGJYRFRB5CPXr04NNPPyU7OxuApUuX8swzz2BjY8PBgwcZP348ZrPZOPr160d6erpRhgGgRo0axmcnJydcXFw4ffr0ddfLzc1lwoQJBAQE4O7ujtlsZt26daSlpd00zuPHj9O9e3cqVqyIi4uLUUrir+OKFy/Oe++9x7vvvkulSpUYNWrULe//ZrEfPHiQzZs3W91/1apVAazKVfzd6NGjycjIMI5Tp07dMg4RERERERGRe00vlRMReQiFhoZisVhYs2YN9evXZ9u2bUyfPh2ArKwsoqOj6dSpU75xxYoVMz4XLVrU6prJZMpXl/iat956i7i4OGbMmEFAQABOTk4MGTKEK1eu3DLOChUqMH/+fKPu8aOPPppv3NatW7G1tSU9PZ2LFy/i7Ox803lvFntWVhahoaG88cYb+cZ5eXndcE57e3vs7e1vuq6IiIiIiIhIYVNCWETkIVSsWDE6derE0qVLOXHiBP7+/tSpUweAOnXqcPToUSpXrnzX1ktMTKR9+/Y899xzAOTl5XHs2DGqV69+wzFnz57l6NGjzJ8/nyZNmgCwffv2fP127NjBG2+8wRdffMHIkSOJiIhg0aJF/zjWOnXq8Omnn+Lj40ORIvpnUkRERERERP5b9EtXROQh1aNHD9q1a8f3339vJGoBxo4dS7t27ShfvjxPP/20UUbi8OHDTJw48R+t5efnx4oVK9ixYwfFixdn2rRp/PrrrzdNCBcvXhwPDw/mzZuHl5cXaWlp+cpB/P777/Ts2ZPBgwfTunVrypUrR/369QkNDeXpp5/+R7G++OKLzJ8/n+7duzNixAjc3d05ceIEy5YtY8GCBdja2v6jeUVE7gepU9oWdggiIiIiUshUQ1hE5CHVvHlz3N3dOXr0KM8++6zRHhwczJdffsn69eupX78+jz32GNOnT6dChQr/eK3XX3+dOnXqEBwcTFBQEKVLl6ZDhw43HWNjY8OyZcvYu3cvjz76KEOHDuWtt96y6vPyyy/j5OTE5MmTAQgICGDy5MkMGDCAn3766R/FWqZMGRITE8nNzeXJJ58kICCAIUOG4Obmho2N/tkUERERERGRB5vJYrFYCjsIERGR/5rMzExcXV3JyMjAxcWlsMMRERERERGR/7iC/g7VVicRERERERERERGRh4QSwiIics/5+PgwY8aMwg5DRERERERE5KGjhLCIiPwnRUVFUatWrcIOQ0REREREROS+UqSwAxAREbmbLBYLubm5hR2GiIiIiIiIyH1JO4RFROS2zJs3jzJlypCXl2fV3r59e/r06UNKSgrt27enVKlSmM1m6tevz8aNG284n8ViISoqivLly2Nvb0+ZMmUYPHiwcX3JkiXUq1cPZ2dnSpcuzbPPPsvp06eN6wkJCZhMJr7++mvq1q2Lvb09H3zwAdHR0Rw8eBCTyYTJZCI+Ph6AadOmERAQgJOTE97e3gwaNIisrCxjvvj4eNzc3Fi3bh3VqlXDbDYTEhJCenr6XXqCIiIiIiIiIoVHCWEREbktXbp04ezZs2zevNloO3fuHGvXrqVHjx5kZWXRpk0bNm3axP79+wkJCSE0NJS0tLTrzvfpp58yffp05s6dy/Hjx1m1ahUBAQHG9ZycHCZMmMDBgwdZtWoVqamphIWF5Ztn1KhRTJkyheTkZFq1asUrr7zCI488Qnp6Ounp6XTr1g0AGxsb3n77bb7//nsWLVrEN998w4gRI6zmunTpElOnTmXJkiVs3bqVtLQ0IiMj78LTExERERERESlcKhkhIiK3pXjx4rRu3ZoPP/yQFi1aALBixQpKlCjBE088gY2NDTVr1jT6T5gwgZUrV7J69WoiIiLyzZeWlkbp0qVp2bIlRYsWpXz58jRo0MC43qdPH+NzxYoVefvtt6lfvz5ZWVmYzWbj2vjx42nVqpVxbjabKVKkCKVLl7Zab8iQIcZnHx8fJk6cyMCBA5k9e7bRnpOTw5w5c6hUqRIAERERjB8//qbPJTs7m+zsbOM8MzPzpv1FRERERERECoN2CIuIyG3r0aMHn376qZEAXbp0Kc888ww2NjZkZWURGRlJtWrVcHNzw2w2k5ycfMMdwl26dOGPP/6gYsWK9OvXj5UrV3L16lXj+t69ewkNDaV8+fI4OzvTrFkzgHzz1atXr0Cxb9y4kRYtWlC2bFmcnZ3p2bMnZ8+e5dKlS0YfR0dHIxkM4OXlZVWm4npiYmJwdXU1Dm9v7wLFIyIiIiIiInIvKSEsIiK3LTQ0FIvFwpo1azh16hTbtm2jR48eAERGRrJy5UomT57Mtm3bOHDgAAEBAVy5cuW6c3l7e3P06FFmz56Ng4MDgwYNomnTpuTk5HDx4kWCg4NxcXFh6dKl7N69m5UrVwLkm8/JyemWcaemptKuXTtq1KjBp59+yt69e3nnnXfyzVe0aFGrcSaTCYvFctO5R48eTUZGhnGcOnXqlvGIiIiIiIiI3GsqGSEiIretWLFidOrUiaVLl3LixAn8/f2pU6cOAImJiYSFhdGxY0cAsrKySE1Nvel8Dg4OhIaGEhoayosvvkjVqlU5dOgQFouFs2fPMmXKFGPH7Z49ewoUo52dHbm5uVZte/fuJS8vj9jYWGxs/vxvosuXL7+dW78he3t77O3t78pcIiIiIiIiIv8WJYRFROQf6dGjB+3ateP777/nueeeM9r9/Pz47LPPCA0NxWQyMWbMGPLy8m44T3x8PLm5uTRs2BBHR0c++OADHBwcqFChAnl5edjZ2TFz5kwGDhzI4cOHmTBhQoHi8/Hx4eTJkxw4cIBy5crh7OxM5cqVycnJYebMmYSGhpKYmMicOXPu+FmIiIiIiIiIPChUMkJERP6R5s2b4+7uztGjR3n22WeN9mnTplG8eHEaNWpEaGgowcHBxu7h63Fzc2P+/Pk0btyYGjVqsHHjRr744gs8PDzw9PQkPj6eTz75hOrVqzNlyhSmTp1aoPg6d+5MSEgITzzxBJ6ennz00UfUrFmTadOm8cYbb/Doo4+ydOlSYmJi7vhZiIiIiIiIiDwoTJZbFUUUERGR25aZmYmrqysZGRm4uLgUdjgiIiIiIiLyH1fQ36HaISwiIiIiIiIiIiLykFBCWEREREREREREROQhoYSwiIg80Hx8fJgxY0ZhhyEiIiIiIiLyQFBCWEREbiooKIghQ4YUdhgiIiIiIiIichcUKewARETkwWaxWMjNzaVIEf2TIvIw8hm1prBDkNuQOqVtYYcgIiIiIoVMO4RFROSGwsLC2LJlC3FxcZhMJkwmE/Hx8ZhMJr7++mvq1q2Lvb0927dvJyUlhfbt21OqVCnMZjP169dn48aNxlwJCQnGHH89wsLCAG45HuD06dOEhobi4OCAr68vS5cuzRdzWloa7du3x2w24+LiQteuXfn111+N61FRUdSqVYslS5bg4+ODq6srzzzzDL///rvRJy8vj5iYGHx9fXFwcKBmzZqsWLHiLj9dERERERERkXtPCWEREbmhuLg4AgMD6devH+np6aSnp+Pt7Q3AqFGjmDJlCsnJydSoUYOsrCzatGnDpk2b2L9/PyEhIYSGhpKWlgZAo0aNjDnS09P55ptvKFasGE2bNgW45Xj4M0F96tQpNm/ezIoVK5g9ezanT582rufl5dG+fXvOnTvHli1b2LBhA//73//o1q2b1X2lpKSwatUqvvzyS7788ku2bNnClClTjOsxMTEsXryYOXPm8P333zN06FCee+45tmzZ8q89axEREREREZF7QX/fKyIiN+Tq6oqdnR2Ojo6ULl0agP/7v/8DYPz48bRq1cro6+7uTs2aNY3zCRMmsHLlSlavXk1ERAR2dnbGHGfPnqVv37706dOHPn36AFCzZs2bjj927Bhff/01u3bton79+gC89957VKtWzRizadMmDh06xMmTJ43E9eLFi3nkkUfYvXu3MS4vL4/4+HicnZ0B6NmzJ5s2bWLSpElkZ2czefJkNm7cSGBgIAAVK1Zk+/btzJ07l2bNml33WWVnZ5OdnW2cZ2Zm3vbzFhEREREREfm3aYewiIj8I/Xq1bM6z8rKIjIykmrVquHm5obZbCY5Odlqhy9ATk4OnTt3pkKFCsTFxRV4fHJyMkWKFKFu3brGmKpVq+Lm5macJycn4+3tbSSDAapXr46bmxvJyclGm4+Pj5EMBvDy8jJ2Gp84cYJLly7RqlUrzGazcSxevJiUlJQbPo+YmBhcXV2N468xiIiIiIiIiNwvtENYRET+EScnJ6vzyMhINmzYwNSpU6lcuTIODg48/fTTXLlyxarfCy+8wKlTp9i1a5fVi+gKOv5uKFq0qNW5yWQiLy8P+DMxDbBmzRrKli1r1c/e3v6Gc44ePZphw4YZ55mZmUoKi4iIiIiIyH1HCWEREbkpOzs7cnNzb9kvMTGRsLAwOnbsCPyZWE1NTbXqM23aNJYvX86OHTvw8PC4rfFVq1bl6tWr7N271yj9cPToUS5cuGD0qVatGqdOneLUqVNGMvbIkSNcuHCB6tWrF+h+q1evjr29PWlpaTcsD3E99vb2N00Yi4iIiIiIiNwPlBAWEZGb8vHxISkpidTUVMxms7GT9u/8/Pz47LPPCA0NxWQyMWbMGKu+GzduZMSIEbzzzjuUKFGCX375BQAHBwdcXV1vOd7f35+QkBAGDBjAu+++S5EiRRgyZAgODg5Gn5YtWxIQEECPHj2YMWMGV69eZdCgQTRr1ixfiYsbcXZ2JjIykqFDh5KXl8fjjz9ORkYGiYmJuLi40Lt373/yGEX+s1KntC3sEERERERE5DaohrCIiNxUZGQktra2VK9eHU9Pz3w1ga+ZNm0axYsXp1GjRoSGhhIcHEydOnWM69u3byc3N5eBAwfi5eVlHC+//HKBxgMsXLiQMmXK0KxZMzp16kT//v0pWbKkcd1kMvH5559TvHhxmjZtSsuWLalYsSIff/zxbd3zhAkTGDNmDDExMVSrVo2QkBDWrFmDr6/vbc0jIiIiIiIicr8xWSwWS2EHISIi8l+TmZmJq6srGRkZuLi4FHY4IiIiIiIi8h9X0N+h2iEsIiIiIiIiIiIi8pBQQlhERERERERERETkIaGEsIiI/Gt8fHyYMWNGYYchIiIiIiIiIv8/JYRFRISgoCCGDBly1+fdvXs3/fv3v+vz3i1RUVHUqlWrsMMQERERERERuWeKFHYAIiLy3+Xp6XnT6zk5ORQtWvQeRSMiIj6j1hR2CPe91CltCzsEERERkX+VdgiLiDzkwsLC2LJlC3FxcZhMJkwmE6mpqWzZsoUGDRpgb2+Pl5cXo0aN4urVq8a4oKAgIiIiiIiIwNXVlRIlSjBmzBgsFovR5+8lI0wmE++++y5PPfUUTk5OTJo0idzcXMLDw/H19cXBwQF/f3/i4uLyxdihQwcmT55MqVKlcHNzY/z48Vy9epXhw4fj7u5OuXLlWLhwodW4kSNHUqVKFRwdHalYsSJjxowhJycHgPj4eKKjozl48KBx3/Hx8QBcuHCBvn374unpiYuLC82bN+fgwYN3+cmLiIiIiIiI3HvaISwi8pCLi4vj2LFjPProo4wfPx6A3Nxc2rRpQ1hYGIsXL+b//u//6NevH8WKFSMqKsoYu2jRIsLDw9m1axd79uyhf//+lC9fnn79+t1wvaioKKZMmcKMGTMoUqQIeXl5lCtXjk8++QQPDw927NhB//798fLyomvXrsa4b775hnLlyrF161YSExMJDw9nx44dNG3alKSkJD7++GMGDBhAq1atKFeuHADOzs7Ex8dTpkwZDh06RL9+/XB2dmbEiBF069aNw4cPs3btWjZu3AiAq6srAF26dMHBwYGvv/4aV1dX5s6dS4sWLTh27Bju7u53+ysQERERERERuWeUEBYReci5urpiZ2eHo6MjpUuXBuC1117D29ubWbNmYTKZqFq1Kj///DMjR45k7Nix2Nj8+Qcm3t7eTJ8+HZPJhL+/P4cOHWL69Ok3TQg/++yzPP/881Zt0dHRxmdfX1++/fZbli9fbpUQdnd35+2338bGxgZ/f3/efPNNLl26xKuvvgrA6NGjmTJlCtu3b+eZZ54B4PXXXzfG+/j4EBkZybJlyxgxYgQODg6YzWaKFCli3DfA9u3b2bVrF6dPn8be3h6AqVOnsmrVKlasWHHDmsjZ2dlkZ2cb55mZmTd56iIiIiIiIiKFQyUjREQkn+TkZAIDAzGZTEZb48aNycrK4scffzTaHnvsMas+gYGBHD9+nNzc3BvOXa9evXxt77zzDnXr1sXT0xOz2cy8efNIS0uz6vPII48YiWiAUqVKERAQYJzb2tri4eHB6dOnjbaPP/6Yxo0bU7p0acxmM6+//nq+ef/u4MGDZGVl4eHhgdlsNo6TJ0+SkpJyw3ExMTG4uroah7e3903XERERERERESkM2iEsIiL3lJOTk9X5smXLiIyMJDY2lsDAQJydnXnrrbdISkqy6vf3l8+ZTKbrtuXl5QHw7bff0qNHD6KjowkODsbV1ZVly5YRGxt70/iysrLw8vIiISEh3zU3N7cbjhs9ejTDhg0zzjMzM5UUFhERERERkfuOEsIiIoKdnZ3Vrt5q1arx6aefYrFYjB3AiYmJODs7G/V5gXxJ2507d+Ln54etrW2B105MTKRRo0YMGjTIaLvZTtyC2rFjBxUqVOC1114z2n744QerPn+/b4A6derwyy+/UKRIEXx8fAq8nr29vVFiQkREREREROR+pYSwiIjg4+NDUlISqampmM1mBg0axIwZM3jppZeIiIjg6NGjjBs3jmHDhlmVbUhLS2PYsGEMGDCAffv2MXPmzFvuwP07Pz8/Fi9ezLp16/D19WXJkiXs3r0bX1/fO7onPz8/0tLSWLZsGfXr12fNmjWsXLky332fPHmSAwcOUK5cOZydnWnZsiWBgYF06NCBN998kypVqvDzzz+zZs0aOnbseN2SFyIiD4rUKW0LOwQRERERKWSqISwiIkRGRmJra0v16tXx9PQkJyeHr776il27dlGzZk0GDhxIeHi41UvaAHr16sUff/xBgwYNePHFF3n55Zdv+NK1GxkwYACdOnWiW7duNGzYkLNnz1rtFv6nnnrqKYYOHUpERAS1atVix44djBkzxqpP586dCQkJ4YknnsDT05OPPvoIk8nEV199RdOmTXn++eepUqUKzzzzDD/88AOlSpW647hERERERERECpPJYrFYCjsIERF58AQFBVGrVi1mzJhR2KHclzIzM3F1dSUjIwMXF5fCDkdERERERET+4wr6O1Q7hEVEREREREREREQeEkoIi4iIiIiIiIiIiDwklBAWEbmP+Pj4WJVg+OWXX2jVqhVOTk64ubkVWlzXk5CQwIwZM/LF/CBKSEjAZDJx4cKFwg5FRERERERE5F+lhLCIyH1s+vTppKenc+DAAY4dO1aoscTHx993SWkRERERERERuT1FCjsAERG5sZSUFOrWrYufn19hhyIiIv8BPqPWFHYIhS51StvCDkFERESkUGmHsIjIXbZixQoCAgJwcHDAw8ODli1bcvHiRYKCghgyZIhV3w4dOhAWFnbdeXx8fPj0009ZvHgxJpPJ6Ddt2jQCAgJwcnLC29ubQYMGkZWVZYy7tpP3yy+/xN/fH0dHR55++mkuXbrEokWL8PHxoXjx4gwePJjc3FxjXHZ2NpGRkZQtWxYnJycaNmxIQkIC8GdJheeff56MjAxMJhMmk4moqChj7KVLl+jTpw/Ozs6UL1+eefPmWd3LoUOHaN68ufFM+vfvb8SckJCAnZ0d27ZtM/q/+eablCxZkl9//RWAtWvX8vjjj+Pm5oaHhwft2rUjJSXF6B8VFWXE9dcjPj7euLfBgwdTsmRJihUrxuOPP87u3btv+j1u376dJk2a4ODggLe3N4MHD+bixYs3HSMiIiIiIiJyv1NCWETkLkpPT6d79+706dOH5ORkEhIS6NSpExaL5bbn2r17NyEhIXTt2pX09HTi4uIAsLGx4e233+b7779n0aJFfPPNN4wYMcJq7KVLl3j77bdZtmwZa9euJSEhgY4dO/LVV1/x1VdfsWTJEubOncuKFSuMMREREXz77bcsW7aM7777ji5duhASEsLx48dp1KgRM2bMwMXFhfT0dNLT04mMjDTGxsbGUq9ePfbv38+gQYN44YUXOHr0KAAXL14kODiY4sWLs3v3bj755BM2btxIREQEgJEo79mzJxkZGezfv58xY8awYMECSpUqZcwxbNgw9uzZw6ZNm7CxsaFjx47k5eUBEBkZacSVnp7O1KlTcXR0pF69egCMGDGCTz/9lEWLFrFv3z4qV65McHAw586du+6zT0lJISQkhM6dO/Pdd9/x8ccfs337diNmERERERERkQeVyfJPshQiInJd+/bto27duqSmplKhQgWra0FBQdSqVcvqBWwdOnTAzc3N2Mnq4+PDkCFDjJ3Ef79+PStWrGDgwIH89ttvwJ87hJ9//nlOnDhBpUqVABg4cCBLlizh119/xWw2AxASEoKPjw9z5swhLS2NihUrkpaWRpkyZYy5W7ZsSYMGDZg8eTLx8fEMGTIk34vXfHx8aNKkCUuWLAHAYrFQunRpoqOjGThwIPPnz2fkyJGcOnUKJycnAL766itCQ0P5+eefKVWqFFeuXKFhw4ZUqVKFw4cP07hx43y7jP/qt99+w9PTk0OHDvHoo49aXdu5cydPPPEEixYtomvXrly8eJHixYsTHx/Ps88+C0BOTo7xrIcPH05CQgJPPPEE58+fx83Njb59+2Jra8vcuXONebdv306zZs24ePEixYoVyxdTdnY22dnZxnlmZibe3t5kZGTg4uJyw3sREbmXVDJCJSNERETkvyszMxNXV9db/g7VDmERkbuoZs2atGjRgoCAALp06cL8+fM5f/78XV1j48aNtGjRgrJly+Ls7EzPnj05e/Ysly5dMvo4OjoayWCAUqVK4ePjYySDr7WdPn0a+LOkQ25uLlWqVMFsNhvHli1brEoz3EiNGjWMzyaTidKlSxtzJycnU7NmTSMZDNC4cWPy8vKMXcR2dnYsXbqUTz/9lMuXLzN9+nSr+Y8fP0737t2pWLEiLi4u+Pj4AJCWlmbVLy0tjQ4dOhAZGUnXrl2BP3f75uTk0LhxY6Nf0aJFadCgAcnJyde9n4MHDxIfH2/1LIKDg8nLy+PkyZPXHRMTE4Orq6txeHt73/K5iYiIiIiIiNxreqmciMhdZGtry4YNG9ixYwfr169n5syZvPbaayQlJWFjY5OvdEROTs5tzZ+amkq7du144YUXmDRpEu7u7mzfvp3w8HCuXLmCo6Mj8GfC869MJtN1266VXMjKysLW1pa9e/dia2tr1e+vSeQbudncBbVjxw4Azp07x7lz56wSyKGhoVSoUIH58+dTpkwZ8vLyePTRR7ly5YrR5+LFizz11FMEBgYyfvz421r777KyshgwYACDBw/Od618+fLXHTN69GiGDRtmnF/bISwiIiIiIiJyP1FCWETkLjOZTDRu3JjGjRszduxYKlSowMqVK/H09CQ9Pd3ol5uby+HDh3niiScKPPfevXvJy8sjNjYWG5s//8hj+fLldxxz7dq1yc3N5fTp0zRp0uS6fezs7KxeQldQ1apVIz4+nosXLxpJ3sTERGxsbPD39wf+3MU7dOhQ5s+fz8cff0zv3r3ZuHEjNjY2nD17lqNHjzJ//nwjtu3bt1utYbFYeO6558jLy2PJkiWYTCbjWqVKlbCzsyMxMdEo45GTk8Pu3bvzveTvmjp16nDkyBEqV65c4Pu0t7fH3t6+wP1FRERERERECoMSwiIid1FSUhKbNm3iySefpGTJkiQlJXHmzBmqVauGk5MTw4YNY82aNVSqVIlp06blq8d7K5UrVyYnJ4eZM2cSGhpKYmIic+bMueO4q1SpQo8ePejVqxexsbHUrl2bM2fOsGnTJmrUqEHbtm3x8fEhKyuLTZs2UbNmTRwdHY0dyTfTo0cPxo0bR+/evYmKiuLMmTO89NJL9OzZk1KlSpGbm8tzzz1HcHAwzz//PCEhIQQEBBAbG8vw4cMpXrw4Hh4ezJs3Dy8vL9LS0hg1apTVGlFRUWzcuJH169eTlZVFVlYWAK6urjg5OfHCCy8wfPhw3N3dKV++PG+++SaXLl0iPDz8ujGPHDmSxx57jIiICPr27YuTkxNHjhxhw4YNzJo1646ft4hIYVH9XBERERFRDWERkbvIxcWFrVu30qZNG6pUqcLrr79ObGwsrVu3pk+fPvTu3ZtevXrRrFkzKlaseFu7g+HPGsXTpk3jjTfe4NFHH2Xp0qXExMTcldgXLlxIr169eOWVV/D396dDhw7s3r3bKJHQqFEjBg4cSLdu3fD09OTNN98s0LyOjo6sW7eOc+fOUb9+fZ5++mlatGhhJFYnTZrEDz/8YLzAzcvLi3nz5vH6669z8OBBbGxsWLZsGXv37uXRRx9l6NChvPXWW1ZrbNmyhaysLBo1aoSXl5dxfPzxxwBMmTKFzp0707NnT+rUqcOJEydYt24dxYsXv27MNWrUYMuWLRw7dowmTZpQu3Ztxo4da/XCPREREREREZEHkcny94KWIiIicscK+nZXERERERERkbuhoL9DtUNYRERERERERERE5CGhhLCIiIiIiIiIiIjIQ0IJYRERuSNhYWF06NDhnqwVFBTEkCFDjHMfHx9mzJhxx/Pey3sQERERERERKUxFCjsAERF5sMXFxfHXcvRBQUHUqlXrriRqb2X37t04OTkVuH9qaiq+vr7s37+fWrVqGe1/vwcRERERERGR/yolhEVE5I64uroW2tqenp53ZZ7CvAcRkXvJZ9Sawg6h0KVOaVvYIYiIiIgUKpWMEBGRAlmxYgUBAQE4ODjg4eFBy5YtuXjxolW5hbCwMLZs2UJcXBwmkwmTyURqaiq5ubmEh4fj6+uLg4MD/v7+xMXFWc1/9epVBg8ejJubGx4eHowcOZLevXvftJTD30tGmEwm3n33XVq3bo2DgwMVK1ZkxYoVxnVfX18AateujclkIigoyIj7r+sEBQUxePBgRowYgbu7O6VLlyYqKupOHp+IiIiIiIjIfUEJYRERuaX09HS6d+9Onz59SE5OJiEhgU6dOuUrsxAXF0dgYCD9+vUjPT2d9PR0vL29ycvLo1y5cnzyySccOXKEsWPH8uqrr7J8+XJj7BtvvMHSpUtZuHAhiYmJZGZmsmrVqtuOdcyYMXTu3JmDBw/So0cPnnnmGZKTkwHYtWsXABs3biQ9PZ3PPvvshvMsWrQIJycnkpKSePPNNxk/fjwbNmy4Yf/s7GwyMzOtDhEREREREZH7jUpGiIjILaWnp3P16lU6depEhQoVAAgICMjXz9XVFTs7OxwdHSldurTRbmtrS3R0tHHu6+vLt99+y/Lly+natSsAM2fOZPTo0XTs2BGAWbNm8dVXX912rF26dKFv374ATJgwgQ0bNjBz5kxmz55tlJjw8PCwiu96atSowbhx4wDw8/Nj1qxZbNq0iVatWl23f0xMjNU9ioiIiIiIiNyPtENYRERuqWbNmrRo0YKAgAC6dOnC/PnzOX/+/G3N8c4771C3bl08PT0xm83MmzePtLQ0ADIyMvj1119p0KCB0d/W1pa6devedqyBgYH5zq/tEL4dNWrUsDr38vLi9OnTN+w/evRoMjIyjOPUqVO3vaaIiIiIiIjIv00JYRERuSVbW1s2bNjA119/TfXq1Zk5cyb+/v6cPHmyQOOXLVtGZGQk4eHhrF+/ngMHDvD8889z5cqVfznyf65o0aJW5yaTiby8vBv2t7e3x8XFxeoQERERERERud8oISwiIgViMplo3Lgx0dHR7N+/Hzs7O1auXJmvn52dHbm5uVZtiYmJNGrUiEGDBlG7dm0qV65MSkqKcd3V1ZVSpUqxe/duoy03N5d9+/bddpw7d+7Md16tWjUjtmtzi4iIiIiIiDyMVENYRERuKSkpiU2bNvHkk09SsmRJkpKSOHPmDNWqVeO7776z6uvj40NSUhKpqamYzWbc3d3x8/Nj8eLFrFu3Dl9fX5YsWcLu3bvx9fU1xr300kvExMRQuXJlqlatysyZMzl//jwmk+m2Yv3kk0+oV68ejz/+OEuXLmXXrl289957AJQsWRIHBwfWrl1LuXLlKFasGK6urnf+gEREHhCpU9oWdggiIiIiUsi0Q1hERG7JxcWFrVu30qZNG6pUqcLrr79ObGwsrVu3ztc3MjISW1tbqlevjqenJ2lpaQwYMIBOnTrRrVs3GjZsyNmzZxk0aJDVuJEjR9K9e3d69epFYGAgZrOZ4OBgihUrdluxRkdHs2zZMmrUqMHixYv56KOPqF69OgBFihTh7bffZu7cuZQpU4b27dv/84ciIiIiIiIi8gAyWSwWS2EHISIi8nd5eXlUq1aNrl27MmHChAKNMZlMrFy5kg4dOvy7wRVAZmYmrq6uZGRkqJ6wiIiIiIiI/OsK+jtUJSNEROS+8MMPP7B+/XqaNWtGdnY2s2bN4uTJkzz77LOFHZqIiIiIiIjIf4ZKRoiIyH3BxsaG+Ph46tevT+PGjTl06BAbN240XggnIiIiIiIiIndOCWEReaiYTCZWrVoFQGpqKiaTiQMHDtyVuePj43Fzc7src/01zn9DQkICJpOJCxcu/Gtr3C5vb28SExPJyMggMzOTHTt20LRp0wKNjYqKolatWlgslhuWiwgLC7svSkmIiIiIiIiIFCaVjBCRh5a3tzfp6emUKFGisEPJJz09neLFixd2GA+MyMhIXnrppX9l7vj4eODPhLKIiIiIiIjIg04JYRF5aNna2lK6dOnCDsPKlStXsLOzu+/i+jdYLBZyc3MpUuTO/ykym82Yzea7ENX/M336dPr27Wuc//777yxYsIChQ4fe1XVERO4ln1FrCjsEuUOpU9oWdggiIiLygFPJCBF5oKxYsYKAgAAcHBzw8PCgZcuWXLx4EYDdu3fTqlUrSpQogaurK82aNWPfvn03nOt6JSO+//572rVrh4uLC87OzjRp0oSUlBS2bt1K0aJF+eWXX6zmGDJkCE2aNLnu/NcrUTBkyBCCgoKM86CgICIiIhgyZAglSpQgODgYyF8y4scff6R79+64u7vj5OREvXr1SEpKuuG97dixg1q1alGsWDHq1avHqlWrbloe41rJhb+aMWMGPj4+Vm3vv/8+jzzyCPb29nh5eREREQFc/1leuHABk8lEQkIC8P/KVHz99dfUrVsXe3t7tm/fTnZ2NoMHD6ZkyZIUK1aMxx9/nN27dxvzXBu3adMm6tWrh6OjI40aNeLo0aM3jD83N5dhw4bh5uaGh4cHI0aMwGKxWN1LXl4eMTEx+Pr64uDgQM2aNVmxYoVxvXjx4rRq1Yrt27ezfft2WrVqpV3bIiIiIiIi8sBTQlhEHhjp6el0796dPn36kJycTEJCAp06dTISfb///ju9e/dm+/bt7Ny5Ez8/P9q0acPvv/9eoPl/+uknmjZtir29Pd988w179+6lT58+XL16laZNm1KxYkWWLFli9M/JyWHp0qX06dPnju5r0aJF2NnZkZiYyJw5c/Jdz8rKolmzZvz000+sXr2agwcPMmLECPLy8q47X2ZmJqGhoQQEBLBv3z4mTJjAyJEj7yhGgHfffZcXX3yR/v37c+jQIVavXk3lypVve55Ro0YxZcoUkpOTqVGjBiNGjODTTz9l0aJF7Nu3j8qVKxMcHMy5c+esxr322mvExsayZ88eihQpctPnHhsbS3x8PO+//z7bt2/n3LlzrFy50qpPTEwMixcvZs6cOXz//fcMHTqU5557ji1btgB/JvSXL1/Ol19+yZdffsny5ctvWjYiOzubzMxMq0NERERERETkfqOSESLywEhPT+fq1at06tSJChUqABAQEGBcb968uVX/efPm4ebmxpYtW2jXrt0t53/nnXdwdXVl2bJlFC1aFIAqVaoY18PDw1m4cCHDhw8H4IsvvuDy5ct07dr1ju7Lz8+PN99884bXP/zwQ86cOcPu3btxd3cHuGki9sMPP8RkMjF//nyKFStG9erV+emnn+jXr98dxTlx4kReeeUVXn75ZaOtfv36tz3P+PHjadWqFQAXL17k3XffJT4+ntatWwMwf/58NmzYwHvvvWc8a4BJkybRrFkz4M+kctu2bbl8+TLFihXLt8aMGTMYPXo0nTp1AmDOnDmsW7fOuJ6dnc3kyZPZuHEjgYGBAFSsWJHt27czd+5cmjVrxgcffMCsWbNo2/bPP83t2rUrERERPPfcc9e9r5iYGKKjo2/7eYiIiIiIiIjcS9ohLCIPjJo1a9KiRQsCAgLo0qUL8+fP5/z588b1X3/9lX79+uHn54erqysuLi5kZWWRlpZWoPkPHDhAkyZNjGTw34WFhXHixAl27twJ/Pmysa5du+Lk5HRH91W3bt1bxlW7dm0jGXwrR48epUaNGlaJ0gYNGtxRjKdPn+bnn3+mRYsWdzQPQL169YzPKSkp5OTk0LhxY6OtaNGiNGjQgOTkZKtxNWrUMD57eXkZcf1dRkYG6enpNGzY0GgrUqSI1bonTpzg0qVLtGrVyqg/bDabWbx4MSkpKcbcGzZsoEmTJjRp0oQNGzZcd71rRo8eTUZGhnGcOnWqoI9ERERERERE5J7RDmEReWDY2tqyYcMGduzYwfr165k5cyavvfYaSUlJ+Pr60rt3b86ePUtcXBwVKlTA3t6ewMBArly5UqD5HRwcbnq9ZMmShIaGsnDhQnx9ffn666+N+rjXY2Njk69ubU5OTr5+t0oo3yquu+FWsd4qBhubP//74l/nuN69wq3v90b+mqg3mUwANyybcStZWVkArFmzhrJly1pds7e3B2DYsGFW7c7Ozvna/j7u2lgRERERERGR+5V2CIvIA8VkMtG4cWOio6PZv38/dnZ2Rm3YxMREBg8eTJs2bYwXn/32228FnrtGjRps27btholMgL59+/Lxxx8zb948KlWqZLWz9e88PT1JT0+3arvRS91uFdeBAwfy1dS9EX9/fw4dOkR2drbR9teXtN0o1l9++cUqofvXWJ2dnfHx8WHTpk03HA9Y3W9B7rVSpUpG/eRrcnJy2L17N9WrV7/l+OtxdXXFy8vL6qV7V69eZe/evcZ59erVsbe3Jy0tjcqVK1sd3t7eVvOFhYXdtHawiIiIiIiIyINEO4RF5IGRlJTEpk2bePLJJylZsiRJSUmcOXOGatWqAX/W4l2yZAn16tUjMzOT4cOH39bu2oiICGbOnMkzzzzD6NGjcXV1ZefOnTRo0AB/f38AgoODcXFxYeLEiYwfP/6m8zVv3py33nqLxYsXExgYyAcffMDhw4epXbv2bd139+7dmTx5Mh06dCAmJgYvLy/2799PmTJljPq3f/Xss8/y2muv0b9/f0aNGkVaWhpTp04F/t/O2r8LCgrizJkzvPnmmzz99NOsXbuWr7/+GhcXF6NPVFQUAwcOpGTJkrRu3Zrff/+dxMREXnrpJRwcHHjssceYMmUKvr6+nD59mtdff/2W9+bk5MQLL7zA8OHDcXd3p3z58rz55ptcunSJ8PDw23pOf/Xyyy8zZcoU/Pz8qFq1KtOmTePChQvGdWdnZyIjIxk6dCh5eXk8/vjjZGRkkJiYiIuLC7179/7Ha4uI3M9Sp7Qt7BBEREREpJBph7CIPDBcXFzYunUrbdq0oUqVKrz++uvExsYaLyN77733OH/+PHXq1KFnz54MHjyYkiVLFnh+Dw8PvvnmG7KysmjWrBl169Zl/vz5VqUKbGxsCAsLIzc3l169et10vuDgYMaMGcOIESOoX78+v//++y3HXI+dnR3r16+nZMmStGnThoCAAKZMmYKtre11+7u4uPDFF19w4MABatWqxWuvvcbYsWMBrvsCNoBq1aoxe/Zs3nnnHWrWrMmuXbuIjIy06tO7d29mzJjB7NmzeeSRR2jXrh3Hjx83rr///vtcvXqVunXrMmTIECZOnFig+5syZQqdO3emZ8+e1KlThxMnTrBu3TqKFy9eoPHX88orr9CzZ0969+5NYGAgzs7OdOzY0arPhAkTGDNmDDExMVSrVo2QkBDWrFmDr6/vP15XRERERERE5H5nsvy9aKSIiNxUeHg4Z86cYfXq1YUdSoEtXbqU559/noyMjHtSk1ggMzMTV1dXMjIyrHZai4iIiIiIiPwbCvo7VCUjREQKKCMjg0OHDvHhhx/e98ngxYsXU7FiRcqWLcvBgwcZOXIkXbt2VTJYRERERERE5CGnhLCISAG1b9+eXbt2MXDgQFq1alXY4dzUL7/8wtixY/nll1/w8vKiS5cuTJo0qbDDEhEREREREZFCppIRIiJyT5lMJlauXEmHDh1ITU3F19eX/fv3U6tWrTueOz4+niFDhli9QK6wqGSEiIiIiIiI3EsF/R2ql8qJiEih8fb2Jj09nUcffbTQYvDx8WHGjBmFtr6IiIiIiIjIvaSSESIiUmhsbW0pXbp0YYchIvLQ8Bm1prBDuCtSp7Qt7BBEREREHljaISwiIrdtxYoVBAQE4ODggIeHBy1btuTixYvs3r2bVq1aUaJECVxdXWnWrBn79u274TypqamYTCYOHDhgtH3//fe0a9cOFxcXnJ2dadKkCSkpKWzdupWiRYvyyy+/WM0xZMgQmjRpct35U1JSaN++PaVKlcJsNlO/fn02btxoXA8KCuKHH35g6NChmEwmTCaTcW379u00adIEBwcHvL29GTx4MBcvXvyHT0xERERERETk/qCEsIiI3Jb09HS6d+9Onz59SE5OJiEhgU6dOmGxWPj999/p3bs327dvZ+fOnfj5+dGmTRt+//33As39008/0bRpU+zt7fnmm2/Yu3cvffr04erVqzRt2pSKFSuyZMkSo39OTg5Lly6lT58+150vKyuLNm3asGnTJvbv309ISAihoaGkpaUB8Nlnn1GuXDnGjx9Peno66enpwJ+J5JCQEDp37sx3333Hxx9/zPbt24mIiLhh7NnZ2WRmZlodIiIiIiIiIvcblYwQEZHbkp6eztWrV+nUqRMVKlQAICAgAIDmzZtb9Z03bx5ubm5s2bKFdu3a3XLud955B1dXV5YtW0bRokUBqFKlinE9PDychQsXMnz4cAC++OILLl++TNeuXa87X82aNalZs6ZxPmHCBFauXMnq1auJiIjA3d0dW1tbnJ2drUpXxMTE0KNHD4YMGQKAn58fb7/9Ns2aNePdd9+lWLFi+daKiYkhOjr6lvcoIiIiIiIiUpi0Q1hERG5LzZo1adGiBQEBAXTp0oX58+dz/vx5AH799Vf69euHn58frq6uuLi4kJWVZezIvZUDBw7QpEkTIxn8d2FhYZw4cYKdO3cCEB8fT9euXXFycrpu/6ysLCIjI6lWrRpubm6YzWaSk5NvGc/BgweJj4/HbDYbR3BwMHl5eZw8efK6Y0aPHk1GRoZxnDp1qkD3LCIiIiIiInIvaYewiIjcFltbWzZs2MCOHTtYv349M2fO5LXXXiMpKYkXXniBs2fPEhcXR4UKFbC3tycwMJArV64UaG4HB4ebXi9ZsiShoaEsXLgQX19fvv76axISEm7YPzIykg0bNjB16lQqV66Mg4MDTz/99C3jycrKYsCAAQwePDjftfLly193jL29Pfb29jedV0RERERERKSwKSEsIiK3zWQy0bhxYxo3bszYsWOpUKECK1euJDExkdmzZ9OmTRsATp06xW+//VbgeWvUqMGiRYvIycm54S7hvn370r17d8qVK0elSpVo3LjxDedLTEwkLCyMjh07An8melNTU6362NnZkZuba9VWp04djhw5QuXKlQscu4iIiIiIiMiDQAlhERG5LUlJSWzatIknn3ySkiVLkpSUxJkzZ6hWrRp+fn4sWbKEevXqkZmZyfDhw2+56/evIiIimDlzJs888wyjR4/G1dWVnTt30qBBA/z9/QEIDg7GxcWFiRMnMn78+JvO5+fnx2effUZoaCgmk4kxY8aQl5dn1cfHx4etW7fyzDPPYG9vT4kSJRg5ciSPPfYYERER9O3bFycnJ44cOcKGDRuYNWvW7T80EZH7ROqUtoUdgoiIiIgUMtUQFhGR2+Li4sLWrVtp06YNVapU4fXXXyc2NpbWrVvz3nvvcf78eerUqUPPnj0ZPHgwJUuWLPDcHh4efPPNN2RlZdGsWTPq1q3L/PnzrXYL29jYEBYWRm5uLr169brpfNOmTaN48eI0atSI0NBQgoODqVOnjlWf8ePHk5qaSqVKlfD09AT+3Km8ZcsWjh07RpMmTahduzZjx46lTJkyt/GkRERERERERO4/JovFYinsIERERG5HeHg4Z86cYfXq1YUdyg1lZmbi6upKRkYGLi4uhR2OiIiIiIiI/McV9HeoSkaIiMgDIyMjg0OHDvHhhx/e18lgERERERERkfuVEsIiIvLAaN++Pbt27WLgwIG0atWqsMMREREREREReeCohrCIiNwXwsLC6NChw037REVF8ccffzBu3Lgb9omPj8fNzc1qTK1ate5OkCIiIiIiIiIPOO0QFhGR+0JcXBx/LWsfFBRErVq1mDFjhtHWqFEj0tPTcXV1LfC8kZGRvPTSS3czVBEREREREZEHlhLCIiJyR65cuYKdnd0dz1OQJK+dnR2lS5e+rXnNZjNms/mfhiUit+Azak1hhyC3IXVK28IOQUREREQKmUpGiIjIbQkKCiIiIoIhQ4ZQokQJgoODmTZtGgEBATg5OeHt7c2gQYPIysoyxlwr47Bu3TqqVauG2WwmJCSE9PR0o89fS0aEhYWxZcsW4uLiMJlMmEwmUlNTSUhIwGQyceHCBau5y5cvj6OjIx07duTs2bNW8f69ZMS1daZOnYqXlxceHh68+OKL5OTkGH2ys7OJjIykbNmyODk50bBhQxISEu7qcxQREREREREpDEoIi4jIbVu0aBF2dnYkJiYyZ84cbGxsePvtt/n+++9ZtGgR33zzDSNGjLAac+nSJaZOncqSJUvYunUraWlpREZGXnf+uLg4AgMD6devH+np6aSnp+Pt7Z2vX1JSEuHh4URERHDgwAGeeOIJJk6ceMv4N2/eTEpKCps3b2bRokXEx8cTHx9vXI+IiODbb79l2bJlfPfdd3Tp0oWQkBCOHz9+wzmzs7PJzMy0OkRERERERETuNyoZISIit83Pz48333zTOPf39zc++/j4MHHiRAYOHMjs2bON9pycHObMmUOlSpWAP5Ou48ePv+78rq6u2NnZ4ejoeNMSEXFxcYSEhBjJ5ypVqrBjxw7Wrl170/iLFy/OrFmzsLW1pWrVqrRt25ZNmzbRr18/0tLSWLhwIWlpaZQpUwb4sw7x2rVrWbhwIZMnT77unDExMURHR990XREREREREZHCph3CIiJy2+rWrWt1vnHjRlq0aEHZsmVxdnamZ8+enD17lkuXLhl9HB0djWQwgJeXF6dPn76jOJKTk2nYsKFVW2Bg4C3HPfLII9ja2l43lkOHDpGbm0uVKlWM+sNms5ktW7aQkpJywzlHjx5NRkaGcZw6deof3pWIiIiIiIjIv0c7hEVE5LY5OTkZn1NTU2nXrh0vvPACkyZNwt3dne3btxMeHs6VK1dwdHQEoGjRolZzmEwmLBbLPY37muvFkpeXB0BWVha2trbs3bvXKmkM3PTldPb29tjb29/9YEVERERERETuIiWERUTkjuzdu5e8vDxiY2OxsfnzD0+WL19+x/Pa2dmRm5t70z7VqlUjKSnJqm3nzp13tG7t2rXJzc3l9OnTNGnS5I7mEnkYpE5pW9ghiIiIiIjIbVDJCBERuSOVK1cmJyeHmTNn8r///Y8lS5YwZ86cO57Xx8eHpKQkUlNT+e2334wdvH81ePBg1q5dy9SpUzl+/DizZs26Zf3gW6lSpQo9evSgV69efPbZZ5w8eZJdu3YRExPDmjVr7mhuERERERERkcKmhLCIiNyRmjVrMm3aNN544w0effRRli5dSkxMzB3PGxkZia2tLdWrV8fT05O0tLR8fR577DHmz59PXFwcNWvWZP369bz++ut3vPbChQvp1asXr7zyCv7+/nTo0IHdu3dTvnz5O55bREREREREpDCZLIVVwFFEROQ/LDMzE1dXVzIyMnBxcSnscEREREREROQ/rqC/Q7VDWEREREREREREROQhoYSwiIg8MFJTUzGZTBw4cKDAY6KioqhVq9a/FpOIiIiIiIjIg0QlI0RE5IGRm5vLmTNnKFGiBEWKFCnQmKysLLKzs/Hw8PiXo7OmkhEiIiIiIiJyLxX0d2jBfk2LiIjcB2xtbSlduvRtjTGbzZjN5n8pIhHxGbWmsEOQ25A6pW1hhyAiIiIihUwlI0RE5J65ePEivXr1wmw24+XlRWxsLEFBQQwZMgQAk8nEqlWrrMa4ubkRHx8P5C8ZkZCQgMlkYtOmTdSrVw9HR0caNWrE0aNHjfF/LxkRFhZGhw4dmDp1Kl5eXnh4ePDiiy+Sk5Nj9MnOziYyMpKyZcvi5OREw4YNSUhI+BeeiIiIiIiIiMi9pYSwiIjcM8OHD2fLli18/vnnrF+/noSEBPbt23fH87722mvExsayZ88eihQpQp8+fW7af/PmzaSkpLB582YWLVpEfHy8kXQGiIiI4Ntvv2XZsmV89913dOnShZCQEI4fP37HsYqIiIiIiIgUJpWMEBGReyIrK4v33nuPDz74gBYtWgCwaNEiypUrd8dzT5o0iWbNmgEwatQo2rZty+XLlylWrNh1+xcvXpxZs2Zha2tL1apVadu2LZs2baJfv36kpaWxcOFC0tLSKFOmDACRkZGsXbuWhQsXMnny5OvOmZ2dTXZ2tnGemZl5x/clIiIiIiIicrcpISwiIvdESkoKV65coWHDhkabu7s7/v7+dzx3jRo1jM9eXl4AnD59mvLly1+3/yOPPIKtra3VmEOHDgFw6NAhcnNzqVKlitWYW72YLiYmhujo6H98DyIiIiIiIiL3ghLCIiJy3zCZTFgsFqu2v9b2vZGiRYtazQGQl5dXoP7Xxlzrn5WVha2tLXv37rVKGgM3fTnd6NGjGTZsmHGemZmJt7f3LWMXERERERERuZeUEBYRkXuiUqVKFC1alKSkJGPn7vnz5zl27JhR7sHT05P09HRjzPHjx7l06dI9jbN27drk5uZy+vRpmjRpUuBx9vb22Nvb/4uRiYiIiIiIiNw5JYRFROSeMJvNhIeHM3z4cDw8PChZsiSvvfYaNjb/7/2mzZs3Z9asWQQGBpKbm8vIkSPz7eb9t1WpUoUePXrQq1cvYmNjqV27NmfOnGHTpk3UqFGDtm3b3tN4RO53qVP0/xMiIiIiIg8SJYRFROSeeeutt8jKyiI0NBRnZ2deeeUVMjIyjOuxsbE8//zzNGnShDJlyhAXF8fevXvveZwLFy5k4sSJvPLKK/z000+UKFGCxx57jHbt2t3zWERERERERETuJpPl78UaRURE7qGgoCBq1arFjBkzCjuUuyozMxNXV1cyMjJwcXEp7HBERERERETkP66gv0NtbnhFRERERERERERERP5TlBAWEREREREREREReUgoISwiIoUqISHBKBeRmpqKyWTiwIEDd3WNoKAghgwZclfnFBEREREREXkQ6aVyIiJSKMLCwrhw4QKrVq0y2ry9vUlPT6dEiRJ3da3PPvuMokWL3tU5RURERERERB5ESgiLiMh9w9bWltKlS9/1ed3d3e/6nCIiIiIiIiIPIpWMEBGRfC5evEivXr0wm814eXkRGxtrVXbBZDJZ7ewFcHNzIz4+3jg/deoUXbt2xc3NDXd3d9q3b09qaioAUVFRLFq0iM8//xyTyYTJZCIhISFfyYjc3FzCw8Px9fXFwcEBf39/4uLirNYNCwujQ4cOREdH4+npiYuLCwMHDuTKlStGn7+XjPDx8WHy5Mn06dMHZ2dnypcvz7x586zmvVn8IiIiIiIiIg8qJYRFRCSf4cOHs2XLFj7//HPWr19PQkIC+/btK/D4nJwcgoODcXZ2Ztu2bSQmJmI2mwkJCeHKlStERkbStWtXQkJCSE9PJz09nUaNGuWbJy8vj3LlyvHJJ59w5MgRxo4dy6uvvsry5cut+m3atInk5GQSEhL46KOP+Oyzz4iOjr5pjLGxsdSrV4/9+/czaNAgXnjhBY4ePVqg+EVEREREREQeVCoZISIiVrKysnjvvff44IMPaNGiBQCLFi2iXLlyBZ7j448/Ji8vjwULFmAymQBYuHAhbm5uJCQk8OSTT+Lg4EB2dvZNS0QULVrUKrHr6+vLt99+y/Lly+natavRbmdnx/vvv4+joyOPPPII48ePZ/jw4UyYMAEbm+v/t882bdowaNAgAEaOHMn06dPZvHkz/v7+BYr/77Kzs8nOzjbOMzMzC/y8RERERERERO4VJYRFRMRKSkoKV65coWHDhkabu7s7/v7+BZ7j4MGDnDhxAmdnZ6v2y5cvk5KSclvxvPPOO7z//vukpaXxxx9/cOXKFWrVqmXVp2bNmjg6OhrngYGBZGVlcerUKSpUqHDdeWvUqGF8NplMlC5dmtOnT//j+GNiYm65K1lERERERESksCkhLCIit81kMmGxWKzacnJyjM9ZWVnUrVuXpUuX5hvr6elZ4HWWLVtGZGQksbGxBAYG4uzszFtvvUVSUtI/D/7/V7RoUatzk8lEXl4e8M/iHz16NMOGDTPOMzMz8fb2vuM4RURERERERO4mJYRFRMRKpUqVKFq0KElJSZQvXx6A8+fPc+zYMZo1awb8mRRNT083xhw/fpxLly4Z53Xq1OHjjz+mZMmSuLi4XHcdOzs7cnNzbxpLYmIijRo1Mko7ANfdoXvw4EH++OMPHBwcANi5cydms/kfJ2QLEv/f2dvbY29v/4/WExEREREREblX9FI5ERGxYjabCQ8PZ/jw4XzzzTccPnyYsLAwq1q8zZs3Z9asWezfv589e/YwcOBAqx23PXr0oESJErRv355t27Zx8uRJEhISGDx4MD/++CMAPj4+fPfddxw9epTffvvNaofxNX5+fuzZs4d169Zx7NgxxowZw+7du/P1u3LlCuHh4Rw5coSvvvqKcePGERERccP6wbdSkPhFREREREREHkRKCIuISD5vvfUWTZo0ITQ0lJYtW/L4449Tt25d43psbCze3t40adKEZ599lsjISKsavo6OjmzdupXy5cvTqVMnqlWrRnh4OJcvXzZ23Pbr1w9/f3/q1auHp6cniYmJ+eIYMGAAnTp1olu3bjRs2JCzZ89a7Ra+pkWLFvj5+dG0aVO6devGU089RVRU1D++/4LELyIiIiIiIvIgMln+XgRSRETkOoKCgqhVqxYzZswo7FCshIWFceHCBVatWlXYoVjJzMzE1dWVjIwMJZFFRERERETkX1fQ36HaISwiIiIiIiIiIiLykFBCWEREREREREREROQhoYSwiMhDIioqilq1av3j8QkJCf+oXERQUBBDhgz5x+veyLX7iY+Pv2m5CB8fn/uuzIWIiIiIiIhIYSlS2AGIiIj8m3bv3o2Tk1NhhyEiIiIiIiJyX1BCWERE/pOuXLmCnZ0dnp6ehR2KiMh9w2fUmsIO4aGSOqVtYYcgIiIiko9KRoiI/AuCgoKIiIggIiICV1dXSpQowZgxY7BYLADMnj0bPz8/ihUrRqlSpXj66aeNsXl5ecTExODr64uDgwM1a9ZkxYoVxvX4+Hjc3Nys1lu1ahUmk8mqbcqUKZQqVQpnZ2fCw8O5fPmy1fW8vDzGjx9PuXLlsLe3p1atWqxdu9aqz6lTp+jatStubm64u7vTvn17UlNTjethYWF06NCB6OhoPD09cXFxYeDAgVy5ciXfWiNGjMDd3Z3SpUsTFRVldf3ChQv07dvXmKN58+YcPHjwtu7nWiyTJk2iTJky+Pv7A/lLRphMJhYsWEDHjh1xdHTEz8+P1atXW811+PBhWrdujdlsplSpUvTs2ZPffvsNERERERERkQedEsIiIv+SRYsWUaRIEXbt2kVcXBzTpk1jwYIF7Nmzh8GDBzN+/HiOHj3K2rVradq0qTEuJiaGxYsXM2fOHL7//nuGDh3Kc889x5YtWwq89vLly4mKimLy5Mns2bMHLy8vZs+ebdUnLi6O2NhYpk6dynfffUdwcDBPPfUUx48fByAnJ4fg4GCcnZ3Ztm0biYmJmM1mQkJCrBK+mzZtIjk5mYSEBD766CM+++wzoqOj8z0LJycnkpKSePPNNxk/fjwbNmwwrnfp0oXTp0/z9ddfs3fvXurUqUOLFi04d+5cge/nWixHjx5lw4YNfPnllzd8PtHR0XTt2pXvvvuONm3a0KNHD2OtCxcu0Lx5c2rXrs2ePXtYu3Ytv/76K127di3w8xcRERERERG5X5ks17ariYjIXRMUFMTp06f5/vvvjZ27o0aNYvXq1UycOJHnn3+eH3/8EWdnZ6tx2dnZuLu7s3HjRgIDA432vn37cunSJT788EPi4+MZMmQIFy5cMK6vWrWKjh07GjuQGzVqRO3atXnnnXeMPo899hiXL1/mwIEDAJQtW5YXX3yRV1991ejToEED6tevzzvvvMMHH3zAxIkTSU5ONu7hypUruLm5sWrVKp588knCwsL44osvOHXqFI6OjgDMmTOH4cOHk5GRgY2NDUFBQeTm5rJt2zardZo3b86UKVPYvn07bdu25fTp09jb2xt9KleuzIgRI+jfv3+B7icsLIy1a9eSlpaGnZ2d0c/Hx4chQ4YYL7YzmUy8/vrrTJgwAYCLFy9iNpv5+uuvCQkJYeLEiWzbto1169YZc/z44494e3tz9OhRqlSpct3vPDs7m+zsbOM8MzMTb29vMjIycHFxue4YEZF7TSUj7i2VjBAREZF7KTMzE1dX11v+DtUOYRGRf8ljjz1mVcYhMDCQ48eP06JFCypUqEDFihXp2bMnS5cu5dKlSwCcOHGCS5cu0apVK8xms3EsXryYlJSUAq+dnJxMw4YNrdr+mmDOzMzk559/pnHjxlZ9GjduTHJyMgAHDx7kxIkTODs7G3G4u7tz+fJlq1hq1qxpJIOvrZOVlcWpU6eMtho1alit4+XlxenTp411srKy8PDwsLrnkydPGuvc6n6uCQgIsEoG38hf43FycsLFxcUqns2bN1vFUrVqVYCbfgcxMTG4uroah7e39y3jEBEREREREbnX9FI5EZF7zGw2s2/fPhISEli/fj1jx44lKiqK3bt3k5WVBcCaNWsoW7as1bhru2dtbGz4+x935OTk3PU4s7KyqFu3LkuXLs137XZf1Fa0aFGrc5PJRF5enrGOl5cXCQkJ+cb9vVbyrTg5Od2VeEJDQ3njjTfyjfPy8rrhnKNHj2bYsGHG+bUdwiIiIiIiIiL3EyWERUT+JUlJSVbnO3fuxM/PD1tbWwBatmxJy5YtGTduHG5ubnzzzTe0atUKe3t70tLSaNas2XXn9fT05Pfff+fixYtGAvRa2YRrqlWrRlJSEr169bJa/xoXFxfKlClDYmKi1TqJiYk0aNAAgDp16vDxxx9TsmTJm/6pycGDB/njjz9wcHAw1jGbzQVOhtapU4dffvmFIkWK4OPjc90+t7qfu6lOnTp8+umn+Pj4UKRIwf+ZtLe3typ5ISIiIiIiInI/UkJYRORfkpaWxrBhwxgwYAD79u1j5syZxMbG8uWXX/K///2Ppk2bUrx4cb766ivy8vLw9/fH2dmZyMhIhg4dSl5eHo8//jgZGRkkJibi4uJC7969adiwIY6Ojrz66qsMHjyYpKQk4uPjrdZ++eWXCQsLo169ejRu3JilS5fy/fffU7FiRaPP8OHDGTduHJUqVaJWrVosXLiQAwcOGDuCe/TowVtvvUX79u0ZP3485cqV44cffuCzzz5jxIgRlCtXDvizrnB4eDivv/46qampjBs3joiICGxsClaVqGXLlgQGBtKhQwfefPNNqlSpws8//8yaNWvo2LEj9erVK9D93C0vvvgi8+fPp3v37owYMQJ3d3dOnDjBsmXLWLBggZHQFxF5EKmmrYiIiIgoISwi8i/p1asXf/zxBw0aNMDW1paXX36Z/v37k5iYyGeffUZUVBSXL1/Gz8+Pjz76iEceeQSACRMm4OnpSUxMDP/73/9wc3OjTp06xsvf3N3d+eCDDxg+fDjz58+nRYsWREVF0b9/f2Ptbt26kZKSwogRI7h8+TKdO3fmhRdesHpR2uDBg8nIyOCVV17h9OnTVK9endWrV+Pn5weAo6MjW7duZeTIkXTq1Inff/+dsmXL0qJFC6sdwy1atMDPz4+mTZuSnZ1N9+7diYqKKvBzMplMfPXVV7z22ms8//zznDlzhtKlS9O0aVNKlSpV4Pu5W67tnB45ciRPPvkk2dnZVKhQgZCQkAInuUVERERERETuVybL3wtRiojIHQsKCqJWrVrMmDGjsEP5V4WFhXHhwgVWrVpV2KHcdwr6dlcRERERERGRu6Ggv0O11UlERERERERERETkIaGEsIiIiIiIiIiIiMhDQglhEZF/QUJCwn++XAT8eZ9BQUG31d9kMnHhwoW7sn5QUBBDhgy5K3OJiIiIiIiIPAyUEBYRkXumUaNGpKen4+rqWtihiIiIiIiIiDyUihR2ACIiUriuXLmCnZ3dPVnLzs6O0qVL35O1REQkP59Rawo7hIdO6pS2hR2CiIiIiBXtEBYR+Y8JCgoiIiKCiIgIXF1dKVGiBGPGjMFisQDg4+PDhAkT6NWrFy4uLvTv3x+A7du306RJExwcHPD29mbw4MFcvHjRmPf06dOEhobi4OCAr68vS5cuzbe2yWRiwYIFdOzYEUdHR/z8/Fi9erVx/e8lI3744QdCQ0MpXrw4Tk5OPPLII3z11VdG/y1bttCgQQPs7e3x8vJi1KhRXL169Yb3fv78eXr16kXx4sVxdHSkdevWHD9+3LgeHx+Pm5sb69ato1q1apjNZkJCQkhPT7eaZ8GCBVSrVo1ixYpRtWpVZs+efRvfgIiIiIiIiMj9SwlhEZH/oEWLFlGkSBF27dpFXFwc06ZNY8GCBcb1qVOnUrNmTfbv38+YMWNISUkhJCSEzp0789133/Hxxx+zfft2IiIijDFhYWGcOnWKzZs3s2LFCmbPns3p06fzrR0dHU3Xrl357rvvaNOmDT169ODcuXPXjfPFF18kOzubrVu3cujQId544w3MZjMAP/30E23atKF+/focPHiQd999l/fee4+JEyfe8L7DwsLYs2cPq1ev5ttvv8VisdCmTRtycnKMPpcuXWLq1KksWbKErVu3kpaWRmRkpHF96dKljB07lkmTJpGcnMzkyZMZM2YMixYtuukzz87OJjMz0+oQERERERERud+oZISIyH+Qt7c306dPx2Qy4e/vz6FDh5g+fTr9+vUDoHnz5rzyyitG/759+9KjRw/jBW1+fn68/fbbNGvWjHfffZe0tDS+/vprdu3aRf369QF47733qFatWr61w8LC6N69OwCTJ0/m7bffZteuXYSEhOTrm5aWRufOnQkICACgYsWKxrXZs2fj7e3NrFmzMJlMVK1alZ9//pmRI0cyduxYbGys/5vm8ePHWb16NYmJiTRq1Aj4M7nr7e3NqlWr6NKlCwA5OTnMmTOHSpUqARAREcH48eONecaNG0dsbCydOnUCwNfXlyNHjjB37lx69+59w2ceExNDdHT0Da+LiIiIiIiI3A+0Q1hE5D/osccew2QyGeeBgYEcP36c3NxcAOrVq2fV/+DBg8THx2M2m40jODiYvLw8Tp48SXJyMkWKFKFu3brGmKpVq+Lm5pZv7Ro1ahifnZyccHFxue5OYoDBgwczceJEGjduzLhx4/juu++Ma8nJyQQGBlrdR+PGjcnKyuLHH3/MN9e1GBs2bGi0eXh44O/vT3JystHm6OhoJIMBvLy8jPguXrxISkoK4eHhVs9i4sSJpKSkXPcerhk9ejQZGRnGcerUqZv2FxERERERESkM2iEsIvIQcnJysjrPyspiwIABDB48OF/f8uXLc+zYsQLPXbRoUatzk8lEXl7edfv27duX4OBg1qxZw/r164mJiSE2NpaXXnqpwOvdruvFd62+clZWFgDz58+3SiwD2Nra3nRee3t77O3t72KkIiIiIiIiInefdgiLiPwHJSUlWZ3v3LkTPz+/GyY169Spw5EjR6hcuXK+w87OjqpVq3L16lX27t1rjDl69Kjxcrg74e3tzcCBA/nss8945ZVXmD9/PgDVqlUz6gBfk5iYiLOzM+XKlcs3T7Vq1bh69arVvZ89e5ajR49SvXr1AsVSqlQpypQpw//+9798z8HX1/cO71RERERERESk8GmHsIjIf1BaWhrDhg1jwIAB7Nu3j5kzZxIbG3vD/iNHjuSxxx4jIiKCvn374uTkxJEjR9iwYQOzZs3C39+fkJAQBgwYwLvvvkuRIkUYMmQIDg4OdxTnkCFDaN26NVWqVOH8+fNs3rzZqEs8aNAgZsyYwUsvvURERARHjx5l3LhxDBs2LF/9YPiz7nH79u3p168fc+fOxdnZmVGjRlG2bFnat29f4Jiio6MZPHgwrq6uhISEkJ2dzZ49ezh//jzDhg27o/sVESlsqVPaFnYIIiIiIlLItENYROQ/qFevXvzxxx80aNCAF198kZdffpn+/fvfsH+NGjXYsmULx44do0mTJtSuXZuxY8dSpkwZo8/ChQspU6YMzZo1o1OnTvTv35+SJUveUZy5ubm8+OKLVKtWjZCQEKpUqcLs2bMBKFu2LF999RW7du2iZs2aDBw4kPDwcF5//fUbzrdw4ULq1q1Lu3btCAwMxGKx8NVXX+UrE3Ezffv2ZcGCBSxcuJCAgACaNWtGfHy8dgiLiIiIiIjIf4LJ8te/xRURkQdeUFAQtWrVYsaMGYUdykMtMzMTV1dXMjIycHFxKexwRERERERE5D+uoL9DtUNYRERERERERERE5CGhhLCIiIiIiIiIiIjIQ0IJYRGR/5iEhASVi7iF+Ph43NzcCjsMERERERERkXtOCWEREbmpqKgoatWqVdhhiIiIiIiIiMhdUKSwAxAREbnmypUr2NnZFXYYInIbfEatKewQ5DakTmlb2CGIiIiISCHTDmERkQdUUFAQERERRERE4OrqSokSJRgzZgwWi8Xos2TJEurVq4ezszOlS5fm2Wef5fTp08b1hIQETCYTmzZtol69ejg6OtKoUSOOHj0K/FlaITo6moMHD2IymTCZTMTHxwOQlpZG+/btMZvNuLi40LVrV3799Vdj7ms7i+fOnYu3tzeOjo507dqVjIwMo09YWBgdOnRg0qRJlClTBn9//wLFHRYWZsTz1yMhIQGA8+fP06tXL4oXL46joyOtW7fm+PHjN32en3/+OXXq1KFYsWJUrFiR6Ohorl69+s++HBEREREREZH7lBLCIiIPsEWLFlGkSBF27dpFXFwc06ZNY8GCBcb1nJwcJkyYwMGDB1m1ahWpqamEhYXlm+e1114jNjaWPXv2UKRIEfr06QNAt27deOWVV3jkkUdIT08nPT2dbt26kZeXR/v27Tl37hxbtmxhw4YN/O9//6Nbt25W8544cYLly5fzxRdfsHbtWvbv38+gQYOs+mzatImjR4+yYcMGvvzyywLFHRcXZ8STnp7Oyy+/TMmSJalatSrwZ8J4z549rF69mm+//RaLxUKbNm3Iycm57nPctm0bvXr14uWXX+bIkSPMnTuX+Ph4Jk2aVODvIjs7m8zMTKtDRERERERE5H6jkhEiIg8wb29vpk+fjslkwt/fn0OHDjF9+nT69esHYCR2ASpWrMjbb79N/fr1ycrKwmw2G9cmTZpEs2bNABg1ahRt27bl8uXLODg4YDabKVKkCKVLlzb6b9iwgUOHDnHy5Em8vb0BWLx4MY888gi7d++mfv36AFy+fJnFixdTtmxZAGbOnEnbtm2JjY015nNycmLBggVWpSJuFberqyuurq4AfPbZZ8ydO5eNGzdSunRpjh8/zurVq0lMTKRRo0YALF26FG9vb1atWkWXLl3yPcfo6GhGjRpF7969jTUnTJjAiBEjGDduXIG+i5iYGKKjowvUV0RERERERKSwaIewiMgD7LHHHsNkMhnngYGBHD9+nNzcXAD27t1LaGgo5cuXx9nZ2Uj6pqWlWc1To0YN47OXlxeAVYmGv0tOTsbb29tIBgNUr14dNzc3kpOTjbby5csbyeBr8eXl5RklKQACAgLy1Q0uaNz79++nZ8+ezJo1i8aNGxuxFSlShIYNGxr9PDw88Pf3t4rtrw4ePMj48eMxm83G0a9fP9LT07l06dINn8NfjR49moyMDOM4depUgcaJiIiIiIiI3EvaISwi8h918eJFgoODCQ4OZunSpXh6epKWlkZwcDBXrlyx6lu0aFHj87UEc15e3j2J08nJyeq8oHH/8ssvPPXUU/Tt25fw8PA7iiErK4vo6Gg6deqU71qxYsUKNIe9vT329vZ3FIeIiIiIiIjIv00JYRGRB1hSUpLV+c6dO/Hz88PW1pb/+7//4+zZs0yZMsXYybtnz57bXsPOzs7YcXxNtWrVOHXqFKdOnTLmPnLkCBcuXKB69epGv7S0NH7++WfKlCljxGdjY2O8PO56ChL35cuXad++PVWrVmXatGn5Yrt69SpJSUlGyYizZ89y9OhRq9j+qk6dOhw9epTKlSsX5JGIiIiIiIiIPLCUEBYReYClpaUxbNgwBgwYwL59+5g5cyaxsbHAn+Ua7OzsmDlzJgMHDuTw4cNMmDDhttfw8fHh5MmTHDhwgHLlyuHs7EzLli0JCAigR48ezJgxg6tXrzJo0CCaNWtGvXr1jLHFihWjd+/eTJ06lczMTAYPHkzXrl2t6hH/XUHiHjBgAKdOnWLTpk2cOXPGaHd3d8fPz4/27dvTr18/5s6di7OzM6NGjaJs2bK0b9/+umuOHTuWdu3aUb58eZ5++mlsbGw4ePAghw8fZuLEibf9zEQeJqlT2hZ2CCIiIiIichtUQ1hE5AHWq1cv/vjjDxo0aMCLL77Iyy+/TP/+/QHw9PQkPj6eTz75hOrVqzNlyhSmTp1622t07tyZkJAQnnjiCTw9Pfnoo48wmUx8/vnnFC9enKZNm9KyZUsqVqzIxx9/bDW2cuXKdOrUiTZt2vDkk09So0YNZs+efdP1ChL3li1bSE9Pp3r16nh5eRnHjh07AFi4cCF169alXbt2BAYGYrFY+Oqrr6xKY/xVcHAwX375JevXr6d+/fo89thjTJ8+nQoVKtz28xIRERERERG5n5ksFoulsIMQEZHbFxQURK1atZgxY0Zhh3JdUVFRrFq1igMHDhR2KIUiMzMTV1dXMjIycHFxKexwRERERERE5D+uoL9DtUNYRERERERERERE5CGhhLCIiIiIiIiIiIjIQ0IlI0RE5KGSmpqKr68v+/fvp1atWv/aOioZISIiIiIiIveSSkaIiIiIiIiIiIiIiJUihR2AiIgIQG5uLiaTCRsb/bdKEZF/i8+oNYUdwkMrdUrbwg5BREREBNAOYRGR/7Ts7GwGDx5MyZIlKVasGI8//ji7d+82rickJGAymVi3bh21a9fGwcGB5s2bc/r0ab7++muqVauGi4sLzz77LJcuXTLG5eXlERMTg6+vLw4ODtSsWZMVK1bkm3fNmjXUqFGDYsWK8dhjj3H48GGjT3x8PG5ubqxevZrq1atjb29PWloau3fvplWrVpQoUQJXV1eaNWvGvn37rMaZTKZ8R1RUlBHb+PHjKVeuHPb29tSqVYu1a9fe9DkdPnyY1q1bYzabKVWqFD179uS3336708cvIiIiIiIict9RQlhE5D9sxIgRfPrppyxatIh9+/ZRuXJlgoODOXfunFW/qKgoZs2axY4dOzh16hRdu3ZlxowZfPjhh6xZs4b169czc+ZMo39MTAyLFy9mzpw5fP/99wwdOpTnnnuOLVu2WM07fPhwYmNj2b17N56enoSGhpKTk2Ncv3TpEm+88QYLFizg+++/p2TJkvz+++/07t2b7du3s3PnTvz8/GjTpg2///47AN26dSM9Pd04PvroI4oUKULjxo0BiIuLIzY2lqlTp/Ldd98RHBzMU089xfHjx6/7jC5cuEDz5s2pXbs2e/bsYe3atfz666907dr1tp51dnY2mZmZVoeIiIiIiIjI/UYvlRMR+Y+6ePEixYsXJz4+nmeffRaAnJwcfHx8GDJkCMOHDychIYEnnniCjRs30qJFCwCmTJnC6NGjSUlJoWLFigAMHDiQ1NRU1q5dS3Z2Nu7u7mzcuJHAwEBjvb59+3Lp0iU+/PBDY95ly5bRrVs3AM6dO0e5cuWIj4+na9euxMfH8/zzz3PgwAFq1qx5w/vIy8vDzc2NDz/8kHbt2lldS0lJoUGDBowaNYrhw4cDULZsWV588UVeffVVo1+DBg2oX78+77zzTr6Xyk2cOJFt27axbt06o/+PP/6It7c3R48epUqVKgV63lFRUURHR+dr10vlROR+opIRhUclI0REROTfppfKiYg85FJSUsjJyTF2zgIULVqUBg0akJycbNW3Ro0axudSpUrh6OhoJIOvtZ0+fRqAEydOcOnSJVq1aoXZbDaOxYsXk5KSYjXvXxPG7u7u+Pv7W61tZ2dntTbAr7/+Sr9+/fDz88PV1RUXFxeysrJIS0uz6peRkUG7du1o27atkQzOzMzk559/trpngMaNG+e752sOHjzI5s2bre6latWqxjMsqNGjR5ORkWEcp06dKvBYERERERERkXtFL5UTERGKFi1qfDaZTFbn19ry8vIAyMrKAmDNmjWULVvWqp+9vf1trevg4IDJZLJq6927N2fPniUuLo4KFSpgb29PYGAgV65cMfrk5ubSrVs3XFxcmDdv3m2t+XdZWVmEhobyxhtv5Lvm5eVV4Hns7e1v+/5FRERERERE7jUlhEVE/qMqVaqEnZ0diYmJVKhQAfizZMTu3bsZMmTIP573ry+Aa9as2U377ty5k/LlywNw/vx5jh07RrVq1W46JjExkdmzZ9OmTRsATp06le8Fb0OHDuXQoUPs2bOHYsWKGe0uLi6UKVOGxMREq9gSExNp0KDBdderU6cOn376KT4+PhQpon8WRURERERE5L9Nv3xFRP6jnJyceOGFFxg+fDju7u6UL1+eN998k0uXLhEeHv6P53V2diYyMpKhQ4eSl5fH448/TkZGBomJibi4uNC7d2+j7/jx4/Hw8KBUqVK89tprlChRgg4dOtx0fj8/P5YsWUK9evXIzMxk+PDhODg4GNcXLlzI7P+PvXuP77H+4z/++Bg7n5kZxshpGDaHwreMZIivQ3Jac0jOw2I5/IQ5jkJOkSgb3wlFEnLMxCpny2ENqzXVshzXLMP2+f3h5/r5NGOk5vC8326f223X+3q/39frfV0rt8/L2+uaP59PP/0Uk8nEb7/9BmCUe3jjjTcYN24cTz31FLVq1WLJkiUcPnyYmJiY215v4MCBLFq0iC5dujB8+HDc3d05deoUK1asYPHixVhZWd33vRIRediojq2IiIiIKCEsIvIYmzp1Kjk5OYSEhPDHH39Qp04dNm/ejJub29+ad+LEiXh4eBAZGckPP/yAq6srAQEBFi9yu3n9IUOGcPLkSWrVqsXnn3+OtbX1Hef+4IMP6NOnDwEBAXh7ezNlyhTCw8ON8zt37iQ7O5v//ve/FuPGjRtHREQEgwcP5tKlSwwbNoy0tDSqVq3KunXrqFix4m2vd3NH8YgRI2jWrBlZWVmULVuW5s2bU6iQSu2LiIiIiIjI48VkNpvNBR2EiIg8XmJjY2ncuDEXLlzA1dW1oMMpEPl9u6uIiIiIiIjIg5Df76Ha+iQiIiIiIiIiIiLyhFBCWEREREREREREROQJoYSwiIjkKTY2FpPJxMWLF+9pXGBgIGaz+YktFyEiIiIiIiLysFJCWEREHls+Pj7MmjWroMMQEREREREReWgoISwiIo+dq1evFnQIIiIiIiIiIg8lJYRFRJ5wWVlZDB48mOLFi2Nra8t//vMf9u3bd9u+UVFRuLq6sn79eipXroy9vT0dOnQgMzOT6OhofHx8cHNzY/DgwWRnZ1tcIzw8nFKlSuHg4MDTTz9NbGyscf6nn36idevWuLm54eDgQLVq1di4cSMA2dnZ9OrVi3LlymFnZ0flypWZPXu2RVw9evSgbdu2TJ48mZIlS1K5cmUCAwP56aefeP311zGZTJhMJgDOnTtHly5dKFWqFPb29vj5+fHRRx9ZzBcYGMjgwYMZPnw47u7ulChRgoiIiAdwt0VEREREREQKVuGCDkBERArW8OHDWb16NdHR0ZQtW5a33nqLoKAgTp06ddv+mZmZzJkzhxUrVvDHH3/Qvn172rVrh6urKxs3buSHH37gpZdeomHDhnTq1AmA0NBQjh8/zooVKyhZsiSffvopzZs358iRI1SsWJGBAwdy9epVvvrqKxwcHDh+/DiOjo4A5OTkULp0aT7++GOKFi3K119/TZ8+ffDy8qJjx45GXNu3b8fZ2ZmtW7cC4OXlRc2aNenTpw+9e/c2+l25coXatWszYsQInJ2d2bBhAyEhITz11FPUq1fP6BcdHc3QoUPZs2cP33zzDT169KBhw4a88MILt70vWVlZZGVlGcfp6en3+URERERERERE/jkms9lsLuggRESkYFy+fBk3NzeioqLo2rUrANeuXcPHx4ewsDDq1q1L48aNuXDhAq6urkRFRdGzZ09OnTrFU089BUC/fv1YtmwZZ86cMZK4zZs3x8fHh/fee4+UlBTKly9PSkoKJUuWNK7dtGlT6tWrx5QpU6hRowYvvfQS48aNy1fcoaGh/Pbbb3zyySfAjR3CmzZtIiUlBWtra6PfzXWEhYXdcb5WrVpRpUoVpk+fDtzYIZydnc2uXbuMPvXq1aNJkyZMnTr1tnNEREQwfvz4XO2XLl3C2dk5X+sSERERERERuV/p6em4uLjc9XuodgiLiDzBkpKSuHbtGg0bNjTaihQpQr169UhISKBu3bq5xtjb2xvJYABPT098fHyMZPDNtrS0NACOHDlCdnY2lSpVspgnKyuLokWLAjB48GD69+/Pli1baNq0KS+99BI1atQw+r777rt8+OGHpKSk8Oeff3L16lVq1aplMZ+fn59FMjgv2dnZTJkyhVWrVvHLL79w9epVsrKysLe3t+h36/Xhxo7jm2u6nVGjRjF06FDjOD09HW9v77vGIyIiIiIiIvJvUkJYRETuSZEiRSyOTSbTbdtycnIAyMjIwMrKigMHDmBlZWXR72YS+bXXXiMoKIgNGzawZcsWIiMjmTFjBoMGDWLFihWEh4czY8YM6tevj5OTE2+//TZ79uyxmMvBwSFf8b/99tvMnj2bWbNm4efnh4ODA2FhYbleRHenNd2OjY0NNjY2+YpBREREREREpKDopXIiIk+wp556Cmtra+Li4oy2a9eusW/fPqpWrfpAruHv7092djZpaWlUqFDB4lOiRAmjn7e3N/369WPNmjUMGzaMRYsWARAXF0eDBg0YMGAA/v7+VKhQgaSkpHxd29ra2uLldjfna9OmDa+88go1a9akfPnynDhx4oGsVURERERERORhp4SwiMgTzMHBgf79+/PGG2+wadMmjh8/Tu/evcnMzKRXr14P5BqVKlUiODiYbt26sWbNGn788Uf27t1LZGQkGzZsACAsLIzNmzfz448/cvDgQXbs2IGvry8AFStWZP/+/WzevJkTJ04wZswY9u3bl69r+/j48NVXX/HLL79w9uxZY76tW7fy9ddfk5CQQN++fTlz5swDWauIiIiIiIjIw04JYRGRJ9zUqVN56aWXCAkJISAggFOnTrF582bc3Nwe2DWWLFlCt27dGDZsGJUrV6Zt27bs27ePMmXKADfq+g4cOBBfX1+aN29OpUqVmD9/PgB9+/alffv2dOrUiaeffppz584xYMCAfF13woQJJCcn89RTT+Hh4QHAm2++SUBAAEFBQQQGBlKiRAnatm37wNYqIiIiIiIi8jAzmc1mc0EHISIi8rjJ79tdRURERERERB6E/H4P1Q5hERERERERERERkSeEEsIiki/JycmYTCYOHz78SMwrD9aDeE561iIiIiIiIiIFTwlhEZF8ioiIoFatWgUdRr4FBgYSFhZ2z+N69OiRq6aut7c3qampVK9e/cEE94CYTCbWrl1b0GGIiIiIiIiIPDKUEBaRh5rZbOb69esFHcYDdfXq1YIO4Z5ZWVlRokQJChcuXNChiIiIiIiIiMjfoISwyBMoKyuLwYMHU7x4cWxtbfnPf/7Dvn378jX2hx9+oHHjxtjb21OzZk2++eYbAC5fvoyzszOffPKJRf+1a9fi4ODAH3/8AcDevXvx9/fH1taWOnXqcOjQIYv+sbGxmEwmvvjiC2rXro2NjQ27d+++Y8xXrlyhWrVq9OnTx5gnKSkJJycnPvzww3zHNmLECCpVqoS9vT3ly5dnzJgxXLt2DYCoqCjGjx9PfHw8JpMJk8lEVFQUACkpKbRp0wZHR0ecnZ3p2LEjZ86cMa5zc2fx4sWLKVeuHLa2trz//vuULFmSnJwci5jatGnDq6++aqyhTZs2eHp64ujoSN26ddm2bZtF//nz51OxYkVsbW3x9PSkQ4cOwI1dvjt37mT27NlGvMnJyWRnZ9OrVy/KlSuHnZ0dlStXZvbs2RaxRkdH89lnnxnjYmNjc5V7uPmctm/fTp06dbC3t6dBgwYkJibm+bvzV3eL5aYPP/yQatWqYWNjg5eXF6GhoQD4+PgA0K5dO0wmk3EMsGDBAp566imsra2pXLkyy5Yts5jTZDKxePFi2rVrh729PRUrVmTdunUWfY4ePUqLFi1wdHTE09OTkJAQzp49m+/1iYiIiIiIiDyUzCLyxBk8eLC5ZMmS5o0bN5qPHTtm7t69u9nNzc187ty5PMf8+OOPZsBcpUoV8/r1682JiYnmDh06mMuWLWu+du2a2Ww2m3v37m1u2bKlxbj//ve/5m7dupnNZrP5jz/+MHt4eJi7du1qPnr0qPnzzz83ly9f3gyYDx06ZDabzeYdO3aYAXONGjXMW7ZsMZ86dcp87ty5u8Z86NAhs7W1tXnt2rXm69evm5955hlzu3btjDjuFpvZbDZPnDjRHBcXZ/7xxx/N69atM3t6epqnTZtmNpvN5szMTPOwYcPM1apVM6empppTU1PNmZmZ5uzsbHOtWrXM//nPf8z79+83f/vtt+batWubGzVqZMw7btw4s4ODg7l58+bmgwcPmuPj483nz583W1tbm7dt22b0O3funEXb4cOHze+99575yJEj5hMnTpjffPNNs62trfmnn34ym81m8759+8xWVlbm5cuXm5OTk80HDx40z54922w2m80XL140169f39y7d28j3uvXr5uvXr1qHjt2rHnfvn3mH374wfy///3PbG9vb165cqXxjDp27Ghu3ry5MS4rK8t4/n99Tk8//bQ5NjbWfOzYMfOzzz5rbtCgwV1/h27OcbdYzGazef78+WZbW1vzrFmzzImJiea9e/ea33nnHbPZbDanpaWZAfOSJUvMqamp5rS0NLPZbDavWbPGXKRIEfO7775rTkxMNM+YMcNsZWVl/vLLL415AXPp0qXNy5cvN588edI8ePBgs6Ojo/H7dOHCBbOHh4d51KhR5oSEBPPBgwfNL7zwgrlx48Z5ru+vLl26ZAbMly5dyvcYERERERERkfuV3++hSgiLPGEyMjLMRYoUMcfExBhtV69eNZcsWdL81ltv5TnuZjJv8eLFRtuxY8fMgDkhIcFsNpvNe/bsMVtZWZl//fVXs9lsNp85c8ZcuHBhc2xsrNlsNpsXLlxoLlq0qPnPP/805liwYMFtE41r166955jfeustc7FixcyhoaFmLy8v89mzZ41zd4vtdt5++21z7dq1jeNx48aZa9asadFny5YtZisrK3NKSkqu+7J3715jXJEiRYyE5U1t2rQxv/rqq8bxwoULzSVLljRnZ2fnGVO1atXMc+fONZvNZvPq1avNzs7O5vT09Nv2bdSokXnIkCF5znXTwIEDzS+99JJx3L17d3ObNm0s+uSVEL41ob1hwwYzYPF87zRHfmIpWbKkefTo0Xn2B8yffvqpRVuDBg3MvXv3tmh7+eWXLf5CADC/+eabxnFGRoYZMH/xxRdms/nGXw40a9bMYo7Tp0+bAXNiYuJtY7ly5Yr50qVLxudmfyWERURERERE5N+Q34SwSkaIPGGSkpK4du0aDRs2NNqKFClCvXr1SEhIAKBfv344Ojoan1vVqFHD+NnLywuAtLQ0AOrVq0e1atWIjo4G4H//+x9ly5blueeeAyAhIYEaNWpga2trzFG/fv3bxlmnTp17ihlg2LBhVKpUiXnz5vHhhx9StGhR49zdYgNYuXIlDRs2pESJEjg6OvLmm2+SkpKS9838f2vy9vbG29vbaKtatSqurq4WsZUtWxYPDw+LscHBwaxevZqsrCwAYmJi6Ny5M4UK3fhfc0ZGBuHh4fj6+uLq6oqjoyMJCQlGTC+88AJly5alfPnyhISEEBMTQ2Zm5h3jBXj33XepXbs2Hh4eODo68v777991nXm50+9DftwplrS0NH799Veef/75e4opISHB4ncFoGHDhhbP46+xOzg44OzsbMQeHx/Pjh07LP47qFKlCnDj9/F2IiMjcXFxMT63/k6IiIiIiIiIPCyUEBaRXCZMmMDhw4eNz62KFCli/GwymQAs6uC+9tprRm3dJUuW0LNnT6PfvXBwcLjnMWlpaZw4cQIrKytOnjyZ6/ydYvvmm28IDg6mZcuWrF+/nkOHDjF69OgH9gK4262ndevWmM1mNmzYwOnTp9m1axfBwcHG+fDwcD799FOmTJnCrl27OHz4MH5+fkZMTk5OHDx4kI8++ggvLy/Gjh1LzZo1uXjxYp5xrFixgvDwcHr16sWWLVs4fPgwPXv2vO913u334U7uFoudnd19xZRft8YON+K/GXtGRgatW7e2+O/g8OHDnDx50uIvEW41atQoLl26ZHxOnz79j8YvIiIiIiIicj+UEBZ5wtx80VZcXJzRdu3aNfbt20fVqlUBKF68OBUqVDA+9+KVV17hp59+Ys6cORw/fpzu3bsb53x9ffnuu++4cuWK0fbtt98+kJgBXn31Vfz8/IiOjmbEiBG5doTeKbavv/6asmXLMnr0aOrUqUPFihX56aefLMZbW1uTnZ1t0ebr68vp06ctkn/Hjx/n4sWLFrHdjq2tLe3btycmJoaPPvqIypUrExAQYJyPi4ujR48etGvXDj8/P0qUKEFycrLFHIULF6Zp06a89dZbfPfddyQnJ/Pll1/mGW9cXBwNGjRgwIAB+Pv7U6FChVw7Xm837p9wt1icnJzw8fFh+/btec5RpEiR2z6TW39Xbl7rbs/jVgEBARw7dgwfHx+L/xYqVKiQ519W2NjY4OzsbPERERERERERedgoISzyhHFwcKB///688cYbbNq0iePHj9O7d28yMzPp1avX357fzc2N9u3b88Ybb9CsWTNKly5tnOvatSsmk4nevXtz/PhxNm7cyPTp0x9IzO+++y7ffPMN0dHRBAcH07ZtW4KDgy12vt4ptooVK5KSksKKFStISkpizpw5fPrppxZx+Pj48OOPP3L48GHOnj1LVlYWTZs2xc/Pj+DgYA4ePMjevXvp1q0bjRo1sih7kZfg4GA2bNjAhx9+aLE7+GZMa9as4fDhw8THx9O1a1eL3bfr169nzpw5HD58mJ9++omlS5eSk5ND5cqVjXj37NlDcnIyZ8+eJScnh4oVK7J//342b97MiRMnGDNmDPv27cu1zu+++47ExETOnj3LtWvX7rqO+5GfWCIiIpgxYwZz5szh5MmTHDx4kLlz51rEun37dn777TcuXLgAwBtvvEFUVBQLFizg5MmTzJw5kzVr1hAeHp7v2AYOHMj58+fp0qUL+/btIykpic2bN9OzZ89/JVkuIiIiIiIi8k9RQljkCTR16lReeuklQkJCCAgI4NSpU2zevBk3N7cHMn+vXr24evUqr776qkW7o6Mjn3/+OUeOHMHf35/Ro0czbdq0vx3z999/zxtvvMH8+fONuq3z58/n7NmzjBkzJl+x/fe//+X1118nNDSUWrVq8fXXX+ca+9JLL9G8eXMaN26Mh4cHH330ESaTic8++ww3Nzeee+45mjZtSvny5Vm5cmW+1tWkSRPc3d1JTEyka9euFudmzpyJm5sbDRo0oHXr1gQFBVnsIHZ1dWXNmjU0adIEX19f3nvvPT766COqVasG3Cg5YWVlRdWqVfHw8CAlJYW+ffvSvn17OnXqxNNPP825c+cYMGCAxXV79+5N5cqVqVOnDh4eHrl22z4o+Ymle/fuzJo1i/nz51OtWjVatWplUQ5kxowZbN26FW9vb/z9/QFo27Yts2fPZvr06VSrVo2FCxeyZMkSAgMD8x1byZIliYuLIzs7m2bNmuHn50dYWBiurq5GjWcRERERERGRR5HJbDabCzoIEXm8LFu2jNdff51ff/0Va2vrgg7HwsMcmzxe0tPTcXFx4dKlSyofISIiIiIiIv+4/H4PLfwvxiQij7nMzExSU1OZOnUqffv2fagSrg9zbCIiIiIiIiIi/xb9u1cReWDeeustqlSpQokSJRg1alRBh2PhYY5NREREREREROTfooSwiDwwERERXLt2je3bt+Po6FjQ4VhITk7mxRdffChju5sePXrQtm3bAp/jXsXGxmIymbh48WK+x5jNZvr06YO7uzsmk4nDhw8/kFh8fHyYNWvWA5lLRERERERE5FGmhLCIPLROnz7Nq6++SsmSJbG2tqZs2bIMGTKEc+fOFXRo/4jk5OQHmgR9FG3atImoqCjWr19Pamoq1atXfyDz7tu3jz59+jyQuUREREREREQeZaohLCIPpR9++IH69etTqVIlPvroI8qVK8exY8d44403+OKLL/j2229xd3cv6DDlAUtKSsLLy4sGDRo80Hk9PDwe6HwiIo8qn5EbCjqEJ0ry1BcLOgQRERGRXLRDWEQeSgMHDsTa2potW7bQqFEjypQpQ4sWLdi2bRu//PILo0ePznNsdnY2Q4cOxdXVlaJFizJ8+HDMZrNFn5ycHCIjIylXrhx2dnbUrFmTTz75xDh/4cIFgoOD8fDwwM7OjooVK7JkyRLg/+/kXbVqFc8++yx2dnbUrVuXEydOsG/fPurUqYOjoyMtWrTg999/t7ju4sWL8fX1xdbWlipVqjB//nzjXLly5QDw9/fHZDIRGBhoMXb69Ol4eXlRtGhRBg4cyLVr1wCYMGHCbXfS1qpVizFjxuRqf//99ylZsiQ5OTkW7W3atOHVV181jj/77DMCAgKwtbWlfPnyjB8/nuvXrxvnTSYTixcvpl27dtjb21OxYkXWrVuX+4H8P+fOnaNLly6UKlUKe3t7/Pz8+Oijj4zzPXr0YNCgQaSkpGAymfDx8QFu7Br+z3/+YzzPVq1akZSUZIxbunQpjo6OnDx50mgbMGAAVapUITMzE8hdMiI/sR89epQWLVrg6OiIp6cnISEhnD17Ns/1iYiIiIiIiDwKlBAWkYfO+fPn2bx5MwMGDMDOzs7iXIkSJQgODmblypW5krw3zZgxg6ioKD788EN2797N+fPn+fTTTy36REZGsnTpUt577z2OHTvG66+/ziuvvMLOnTsBGDNmDMePH+eLL74gISGBBQsWUKxYMYs5xo0bx5tvvsnBgwcpXLgwXbt2Zfjw4cyePZtdu3Zx6tQpxo4da/SPiYlh7NixTJ48mYSEBKZMmcKYMWOIjo4GYO/evQBs27aN1NRU1qxZY4zdsWMHSUlJ7Nixg+joaKKiooiKigLg1VdfJSEhgX379hn9Dx06xHfffUfPnj1z3Z+XX36Zc+fOsWPHDot7vmnTJoKDgwHYtWsX3bp1Y8iQIRw/fpyFCxcSFRXF5MmTLeYaP348HTt25LvvvqNly5YEBwdz/vz52z6XK1euULt2bTZs2MDRo0fp06cPISEhxrpnz57NhAkTKF26NKmpqcZ6Ll++zNChQ9m/fz/bt2+nUKFCtGvXzkhod+vWzbj29evX2bBhA4sXLyYmJgZ7e/vbxnK32C9evEiTJk3w9/dn//79bNq0iTNnztCxY8c85xMRERERERF5FKhkhIg8dE6ePInZbMbX1/e25319fblw4QK///47xYsXz3V+1qxZjBo1ivbt2wPw3nvvsXnzZuN8VlYWU6ZMYdu2bdSvXx+A8uXLs3v3bhYuXEijRo1ISUnB39+fOnXqABi7VW8VHh5OUFAQAEOGDKFLly5s376dhg0bAtCrVy8jaQs3EsgzZsww4ipXrpyRbO3evbtR1qBo0aKUKFHC4lpubm7MmzcPKysrqlSpYrwgr3fv3pQuXZqgoCCWLFlC3bp1AViyZAmNGjWifPnyueJ2c3OjRYsWLF++nOeffx6ATz75hGLFitG4cWPgRrJ05MiRdO/e3bg/EydOZPjw4YwbN86Yq0ePHnTp0gWAKVOmMGfOHPbu3Uvz5s1zXbdUqVKEh4cbx4MGDWLz5s2sWrWKevXq4eLigpOTE1ZWVhbrf+mllyzm+fDDD/Hw8OD48ePGzuiFCxdSo0YNBg8ezJo1a4iIiKB27dq5YrjVnWKfN28e/v7+TJkyxeK63t7enDhxgkqVKuWaLysri6ysLOM4PT39jtcXERERERERKQjaISwiD628dgDfdOXKFRwdHY3PlClTuHTpEqmpqTz99NNGv8KFCxuJXYBTp06RmZnJCy+8YDF+6dKlRimC/v37s2LFCmrVqsXw4cP5+uuvc12/Ro0axs+enp4A+Pn5WbSlpaUBN3a5JiUl0atXL4trTpo0yaL8QV6qVauGlZWVcezl5WXMDdC7d28++ugjrly5wtWrV1m+fLlF+Ye/Cg4OZvXq1UYCMyYmhs6dO1Oo0I0/FuLj45kwYYJFrL179yY1NdUow/DXe+Dg4ICzs7NFXLfKzs5m4sSJ+Pn54e7ujqOjI5s3byYlJeWOaz958iRdunShfPnyODs7G8n5W8e5ubnxwQcfsGDBAp566ilGjhx5xznvFnt8fDw7duywWH+VKlUA8nxekZGRuLi4GB9vb++7xiAiIiIiIiLyb9MOYRF56FSoUAGTyURCQgLt2rXLdT4hIQE3Nze8vLw4fPiw0Z7fl8xlZGQAsGHDBkqVKmVxzsbGBoAWLVrw008/sXHjRrZu3crzzz/PwIEDmT59utG3SJEixs8mk+m2bTfLGty85qJFiyyS1YBFojcvt87717kBWrdujY2NDZ9++inW1tZcu3aNDh065Dlf69atMZvNbNiwgbp167Jr1y7eeecd43xGRgbjx483djPfytbWNt9x3ertt99m9uzZzJo1Cz8/PxwcHAgLC+Pq1at3XHvr1q0pW7YsixYtMmofV69ePde4r776CisrK1JTU7l8+TJOTk53nPdOsWdkZNC6dWumTZuWa5yXl9dt5xs1ahRDhw41jtPT05UUFhERERERkYeOEsIi8tApWrQoL7zwAvPnz+f111+3qCP822+/ERMTQ7du3ShSpAgVKlTINd7Ly4s9e/bw3HPPAXD9+nUOHDhAQEAAAFWrVsXGxoaUlBQaNWqUZxweHh50796d7t278+yzz/LGG29YJITvhaenJyVLluSHH34w6vT+lbW1NXBjJ+29Kly4MN27d2fJkiVYW1vTuXPnXPWXb2Vra0v79u2JiYnh1KlTVK5c2bg/AAEBASQmJt72/t6vuLg42rRpwyuvvALceLHfiRMnqFq1ap5jzp07R2JiIosWLeLZZ58FYPfu3bn6ff3110ybNo3PP/+cESNGEBoaatRmvh8BAQGsXr0aHx8fChfO3x+VNjY2xl8oiIiIiIiIiDyslBAWkYfSvHnzaNCgAUFBQUyaNIly5cpx7Ngx3njjDUqVKpXr5Wa3GjJkCFOnTqVixYpUqVKFmTNncvHiReO8k5MT4eHhvP766+Tk5PCf//yHS5cuERcXh7OzM927d2fs2LHUrl2batWqkZWVxfr16/OsaZxf48ePZ/Dgwbi4uNC8eXOysrLYv38/Fy5cYOjQoRQvXhw7Ozs2bdpE6dKlsbW1xcXFJd/zv/baa0aMcXFxd+0fHBxMq1atOHbsmJGkvWns2LG0atWKMmXK0KFDBwoVKkR8fDxHjx5l0qRJ97bw/6dixYp88sknfP3117i5uTFz5kzOnDlzx4Swm5sbRYsW5f3338fLy4uUlJRc5SD++OMPQkJCGDx4MC1atKB06dLUrVuX1q1b33GX9J0MHDiQRYsW0aVLF4YPH467uzunTp1ixYoVLF68OF+7ukVEHkbJU18s6BBEREREpICphrCIPJQqVqzI/v37KV++PB07duSpp56iT58+NG7cmG+++eaO5SGGDRtGSEgI3bt3p379+jg5OeUqPTFx4kTGjBlDZGQkvr6+NG/enA0bNlCuXDngxm7dUaNGUaNGDZ577jmsrKxYsWLF31rTa6+9xuLFi1myZAl+fn40atSIqKgo45qFCxdmzpw5LFy4kJIlS9KmTZt7mr9ixYo0aNCAKlWq5CpLcTtNmjTB3d2dxMREunbtanEuKCiI9evXs2XLFurWrcszzzzDO++8Q9myZe8pplu9+eabBAQEEBQURGBgICVKlKBt27Z3HFOoUCFWrFjBgQMHqF69Oq+//jpvv/22RZ8hQ4bg4OBgvADOz8+PKVOm0LdvX3755Zf7irVkyZLExcWRnZ1Ns2bN8PPzIywsDFdXV6POsoiIiIiIiMijyGS+21ubRETkkWA2m6lYsSIDBgywqGUrBSM9PR0XFxcuXbqEs7NzQYcjIiIiIiIij7n8fg9VyQgRkcfA77//zooVK/jtt9/o2bNnQYcjIiIiIiIiIg8pJYRFRB4DxYsXp1ixYrz//vu4ubkVdDgiIiIiIiIi8pBSIUQRkceA2Wzm999/z1UL+EHN3adPH9zd3TGZTBw+fJjAwEDCwsIe+LUetOTkZCNmEREREREREdEOYRERuYtNmzYRFRVFbGws5cuXp1ixYgUd0m316NGDixcvsnbtWqPN29ub1NTUhzZmERERERERkX+bEsIiInJbV69exdramqSkJLy8vGjQoEFBh3TPrKysKFGiREGHISIiIiIiIvLQUMkIEZHHRGBgIIMHD2b48OG4u7tTokQJIiIijPMpKSm0adMGR0dHnJ2d6dixI2fOnDHOR0REUKtWLRYvXky5cuWwtbWlR48eDBo0iJSUFEwmEz4+Pre9tslkstiZC+Dq6kpUVJRxfOTIEZo0aYKdnR1FixalT58+ZGRkABAbG4u1tTW7du0y+r/11lsUL17ciPH06dN07NgRV1dX3N3dadOmDcnJyUbs0dHRfPbZZ5hMJkwmE7GxsblKRsTGxmIymdi+fTt16tTB3t6eBg0akJiYaBH7Z599RkBAALa2tpQvX57x48dz/fr1e3gaIiIiIiIiIg8nJYRFRB4j0dHRODg4sGfPHt566y0mTJjA1q1bycnJoU2bNpw/f56dO3eydetWfvjhBzp16mQx/tSpU6xevZo1a9Zw+PBhZs+ezYQJEyhdujSpqans27fvvuK6fPkyQUFBuLm5sW/fPj7++GO2bdtGaGgogFGTOCQkhEuXLnHo0CHGjBnD4sWL8fT05Nq1awQFBeHk5MSuXbuIi4vD0dGR5s2bc/XqVcLDw+nYsSPNmzcnNTWV1NTUO+5oHj16NDNmzGD//v0ULlyYV1991Ti3a9cuunXrxpAhQzh+/DgLFy4kKiqKyZMn39faRURERERERB4mKhkhIvIYqVGjBuPGjQOgYsWKzJs3j+3btwM3duj++OOPeHt7A7B06VKqVavGvn37qFu3LnCjTMTSpUvx8PAw5nRycvrbpReWL1/OlStXWLp0KQ4ODgDMmzeP1q1bM23aNDw9PZk0aRJbt26lT58+HD16lO7du/Pf//4XgJUrV5KTk8PixYsxmUwALFmyBFdXV2JjY2nWrBl2dnZkZWXlK87JkyfTqFEjAEaOHMmLL77IlStXsLW1Zfz48YwcOZLu3bsDUL58eSZOnMjw4cONe3s7WVlZZGVlGcfp6en3d7NERERERERE/kHaISwi8hipUaOGxbGXlxdpaWkkJCTg7e1tJIMBqlatiqurKwkJCUZb2bJlLZLBD0pCQgI1a9Y0ksEADRs2JCcnxyjXYG1tTUxMDKtXr+bKlSu88847Rt/4+HhOnTqFk5MTjo6OODo64u7uzpUrV0hKSrrneG69T15eXgCkpaUZ15owYYJxHUdHR3r37k1qaiqZmZl5zhkZGYmLi4vxufVei4iIiIiIiDwstENYROQxUqRIEYtjk8lETk5OvsffmrC9FyaTCbPZbNF27dq1e57n66+/BuD8+fOcP3/eiCcjI4PatWsTExOTa8z9JLBvvU83dxzfvE8ZGRmMHz+e9u3b5xpna2ub55yjRo1i6NChxnF6erqSwiIiIiIiIvLQUUJYROQJ4Ovry+nTpzl9+rSRpDx+/DgXL16katWqf3t+Dw8PUlNTjeOTJ09a7Kb19fUlKiqKy5cvG0neuLg4ChUqROXKlQFISkri9ddfZ9GiRaxcuZLu3buzbds2ChUqREBAACtXrqR48eI4OzvfNgZra2uys7P/9loCAgJITEykQoUK9zTOxsYGGxubv319ERERERERkX+SSkaIiDwBmjZtip+fH8HBwRw8eJC9e/fSrVs3GjVqRJ06df72/E2aNGHevHkcOnSI/fv3069fP4tduMHBwdja2tK9e3eOHj3Kjh07GDRoECEhIXh6epKdnc0rr7xCUFAQPXv2ZMmSJXz33XfMmDHDGF+sWDHatGnDrl27+PHHH4mNjWXw4MH8/PPPAPj4+PDdd9+RmJjI2bNn72uHMsDYsWNZunQp48eP59ixYyQkJLBixQrefPPNv32fRERERERERAqaEsIiIk8Ak8nEZ599hpubG8899xxNmzalfPnyrFy58oHMP2PGDLy9vXn22Wfp2rUr4eHh2NvbG+ft7e3ZvHkz58+fp27dunTo0IHnn3+eefPmATde8vbTTz+xcOFC4EZd3/fff58333yT+Ph47O3t+eqrryhTpgzt27fH19eXXr16ceXKFWPHcO/evalcuTJ16tTBw8ODuLi4+1pLUFAQ69evZ8uWLdStW5dnnnmGd955h7Jly/7NuyQiIiIiIiJS8EzmvxZ9FBERkb8tPT0dFxcXLl26lGeZCxEREREREZEHJb/fQ7VDWEREREREREREROQJoYSwiIiIiIiIiIiIyBNCCWERkb8pIiKCWrVq/etzBAYGEhYW9reueyuTycTatWsf2HwPQo8ePWjbtq1xnJ81+/j4MGvWLOP4butKTk7GZDJx+PDhvxWriIiIiIiIyKNACWEReez06NEDk8nE1KlTLdrXrl2LyWT6W3M/jEnTByU1NZUWLVoUdBh3tGbNGiZOnHhPYx6FdYmIiIiIiIj8W5QQFpHHkq2tLdOmTePChQsFHcojo0SJEtjY2BR0GHfk7u6Ok5PTPY15FNYlIiIiIiIi8m9RQlhEHktNmzalRIkSREZG3tO4zz77jICAAGxtbSlfvjzjx4/n+vXrwI1SBADt2rXDZDIZxzctW7YMHx8fXFxc6Ny5M3/88QcAS5cupWjRomRlZVn0b9u2LSEhIbeN4/r16wwePBhXV1eKFi3KiBEj6N69u0X5hFtNmDCB6tWr52qvVasWY8aMMY4//PBDqlWrho2NDV5eXoSGhhrnbt39fLOMwpo1a2jcuDH29vbUrFmTb775xmL+3bt38+yzz2JnZ4e3tzeDBw/m8uXLxrodHR05efKk0X/AgAFUqVKFzMzMfMd8q7+WjEhLS6N169bY2dlRrlw5YmJico35667uvXv34u/vj62tLXXq1OHQoUO5xhw9epQWLVrg6OiIp6cnISEhnD179rYxiYiIiIiIiDxKlBAWkceSlZUVU6ZMYe7cufz888/5GrNr1y66devGkCFDOH78OAsXLiQqKorJkycDsG/fPgCWLFlCamqqcQyQlJTE2rVrWb9+PevXr2fnzp1GyYqXX36Z7Oxs1q1bZ/RPS0tjw4YNvPrqq7eNZdq0acTExLBkyRLi4uJIT0+/Y6mKV199lYSEBIuYDh06xHfffUfPnj0BWLBgAQMHDqRPnz4cOXKEdevWUaFChTvek9GjRxMeHs7hw4epVKkSXbp0MRLkSUlJNG/enJdeeonvvvuOlStXsnv3biPJ3K1bN1q2bElwcDDXr19nw4YNLF68mJiYGOzt7fMV89306NGD06dPs2PHDj755BPmz59PWlpanv0zMjJo1aoVVatW5cCBA0RERBAeHm7R5+LFizRp0gR/f3/279/Ppk2bOHPmDB07dsxXTCIiIiIiIiIPMyWEReSx1a5dO2rVqsW4cePy1X/8+PGMHDmS7t27U758eV544QUmTpzIwoULAfDw8ADA1dWVEiVKGMcAOTk5REVFUb16dZ599llCQkLYvn07AHZ2dnTt2pUlS5YY/f/3v/9RpkwZAgMDbxvL3LlzGTVqFO3ataNKlSrMmzcPV1fXPGMvXbo0QUFBFtdYsmQJjRo1onz58gBMmjSJYcOGMWTIECpVqkTdunXv+oK28PBwXnzxRSpVqsT48eP56aefOHXqFACRkZEEBwcTFhZGxYoVadCgAXPmzGHp0qVcuXIFgIULF5KamsrgwYPp1asXERER1K5dO98x38mJEyf44osvWLRoEc888wy1a9fmgw8+4M8//8xzzPLly8nJyeGDDz6gWrVqtGrVijfeeMOiz7x58/D392fKlClUqVIFf39/PvzwQ3bs2MGJEyfynDsrK4v09HSLj4iIiIiIiMjDRglhEXmsTZs2jejoaBISEizaHR0djU+/fv0AiI+PZ8KECRbnevfuTWpqKpmZmXe8jo+Pj0VtWy8vL4udqr1792bLli388ssvAERFRRkvv/urS5cucebMGerVq2e0WVlZGYnUvPTu3ZuPPvqIK1eucPXqVZYvX27sQE5LS+PXX3/l+eefv+Mcf1WjRg2LNd2cC27cr6ioKIv7FRQURE5ODj/++CMAbm5ufPDBByxYsICnnnqKkSNH5jvmu0lISKBw4cIW96VKlSp3TJwnJCRQo0YNbG1tjbb69etb9ImPj2fHjh0W66pSpQpwY1d0XiIjI3FxcTE+3t7e+VqHiIiIiIiIyL+pcEEHICLyT3ruuecICgpi1KhR9OjRw2g/fPiw8bOzszNwo5zA+PHjad++fa55bk0g3k6RIkUsjk0mEzk5Ocaxv78/NWvWZOnSpTRr1oxjx46xYcOG+1hR3lq3bo2NjQ2ffvop1tbWXLt2jQ4dOgA3dinfj1vXdTN5fXNdGRkZ9O3bl8GDB+caV6ZMGePnr776CisrK1JTU7l8+bJF4vxOMReUjIwMWrduzbRp03Kdu5kUv51Ro0YxdOhQ4zg9PV1JYREREREREXnoKCEsIo+9qVOnUqtWLSpXrmy03a52bkBAAImJiXesq1ukSBGys7PvK47XXnuNWbNm8csvv9C0adM8k4UuLi54enqyb98+nnvuOQCys7M5ePAgtWrVynP+woUL0717d5YsWYK1tTWdO3c2EsFOTk74+Piwfft2GjdufF/x/1VAQADHjx+/4/36+uuvmTZtGp9//jkjRowgNDSU6OjofMV8N1WqVOH69escOHCAunXrApCYmMjFixfzHOPr68uyZcu4cuWKkeT/9ttvc61r9erV+Pj4ULhw/v+YtLGxwcbGJt/9RURERERERAqCSkaIyGPPz8+P4OBg5syZc8d+Y8eOZenSpYwfP55jx46RkJDAihUrePPNN40+N5Oqv/32GxcuXLinOLp27crPP//MokWL7loWYdCgQURGRvLZZ5+RmJjIkCFDuHDhwm1LTNzqtdde48svv2TTpk25rhEREcGMGTOYM2cOJ0+e5ODBg8ydO/ee1nCrESNG8PXXXxMaGsrhw4c5efIkn332mfFSuT/++IOQkBAGDx5MixYtiImJYeXKlXzyySf5jvlOKleuTPPmzenbty979uzhwIEDvPbaa3dMKHft2hWTyUTv3r05fvw4GzduZPr06RZ9Bg4cyPnz5+nSpQv79u0jKSmJzZs307Nnz/v+ywARERERERGRh4USwiLyRJgwYYJFCYfbCQoKYv369WzZsoW6devyzDPP8M4771C2bFmjz4wZM9i6dSve3t74+/vfUwwuLi689NJLODo60rZt2zv2HTFiBF26dKFbt27Ur1/fqM97t9IVN1/uVqVKFZ5++mmLc927d2fWrFnMnz/feKHayZMn72kNt6pRowY7d+7kxIkTPPvss/j7+zN27FhKliwJwJAhQ3BwcGDKlCnAjcT8lClT6Nu3r1FL+W4x382SJUsoWbIkjRo1on379vTp04fixYvn2d/R0ZHPP/+cI0eO4O/vz+jRo3OVhihZsiRxcXFkZ2fTrFkz/Pz8CAsLw9XVlUKF9MemiIiIiIiIPNpMZrPZXNBBiIg8KZ5//nmqVat2193Kf5WTk4Ovry8dO3Zk4sSJefYzm81UrFiRAQMGWNSzfZg9ijHnR3p6Oi4uLly6dMmoUy0iIiIiIiLyT8nv91DVEBYR+RdcuHCB2NhYYmNjmT9//l37//TTT2zZsoVGjRqRlZXFvHnz+PHHH+natWueY37//XdWrFjBb7/9Rs+ePR9k+P+YRzFmERERERERkUeZEsIiIv8Cf39/Lly4wLRp0yxebpeXQoUKERUVRXh4OGazmerVq7Nt2zZ8fX3zHFO8eHGKFSvG+++/j5ub24MM/x/zKMYsIiIiIiIi8ihTyQgRkTxERESwdu1aDh8+XNCh3LMHEfujvP67iY2NpXHjxly4cAFXV9d8jfHx8SEsLIywsLB89VfJCBEREREREfk35fd7qN6OIyKPjR49emAymZg6dapF+9q1azGZTAUU1T/PZDKxdu3af/26sbGxmEwmLl68+K9fW0RERERERETuj0pGiMhjxdbWlmnTptG3b1+VIHhIXL16FWtr64IOQ0REAJ+RGwo6hCdO8tQXCzoEEREREQvaISwij5WmTZtSokQJIiMj73ns1KlT8fT0xMnJiV69enHlypVcfRYvXoyvry+2trZUqVLF4gVxV69eJTQ0FC8vL2xtbSlbtqxFHCaTiYULF9KqVSvs7e3x9fXlm2++4dSpUwQGBuLg4ECDBg1ISkqyuOZnn31GQEAAtra2lC9fnvHjx3P9+nXgRhkDgHbt2mEymYzjm5YtW4aPjw8uLi507tyZP/74A4ClS5dStGhRsrKyLPq3bduWkJCQu96r5ORkGjduDICbmxsmk4kePXoAEBgYSGhoKGFhYRQrVoygoCAAZs6ciZ+fHw4ODnh7ezNgwAAyMjKMOaOionB1dWX9+vVUrlwZe3t7OnToQGZmJtHR0fj4+ODm5sbgwYPJzs62WGOdOnVwcnKiRIkSdO3albS0NIt4N27cSKVKlbCzs6Nx48YkJyfnWtPq1aupVq0aNjY2+Pj4MGPGjLveBxEREREREZFHjRLCIvJYsbKyYsqUKcydO5eff/453+NWrVpFREQEU6ZMYf/+/Xh5eVkkewFiYmIYO3YskydPJiEhgSlTpjBmzBiio6MBmDNnDuvWrWPVqlUkJiYSExOTK0E7ceJEunXrxuHDh6lSpQpdu3alb9++jBo1iv3792M2mwkNDTX679q1i27dujFkyBCOHz/OwoULiYqKYvLkyQDs27cPgCVLlpCammocAyQlJbF27VrWr1/P+vXr2blzp1FO4+WXXyY7O5t169YZ/dPS0tiwYQOvvvrqXe+Xt7c3q1evBiAxMZHU1FRmz55tnI+Ojsba2pq4uDjee+894MaL8ubMmcOxY8eIjo7myy+/ZPjw4RbzZmZmMmfOHFasWMGmTZuIjY2lXbt2bNy4kY0bN7Js2TIWLlzIJ598Yoy5du0aEydOJD4+nrVr15KcnGwkpwFOnz5N+/btad26NYcPH+a1115j5MiRFtc9cOAAHTt2pHPnzhw5coSIiAjGjBlDVFTUXe/FTVlZWaSnp1t8RERERERERB42KhkhIo+ddu3aUatWLcaNG8cHH3yQrzGzZs2iV69e9OrVC4BJkyaxbds2i13C48aNY8aMGbRv3x6AcuXKGUna7t27k5KSQsWKFfnPf/6DyWSibNmyua7Ts2dPOnbsCMCIESOoX78+Y8aMMXbRDhkyhJ49exr9x48fz8iRI+nevTsA5cuXZ+LEiQwfPpxx48bh4eEBgKurKyVKlLC4Vk5ODlFRUTg5OQEQEhLC9u3bmTx5MnZ2dnTt2pUlS5bw8ssvA/C///2PMmXKEBgYeNf7ZWVlhbu7OwDFixfP9WK2ihUr8tZbb1m03foyNh8fHyZNmkS/fv0sEu/Xrl1jwYIFPPXUUwB06NCBZcuWcebMGRwdHalatSqNGzdmx44ddOrUCcAigV2+fHnmzJlD3bp1ycjIwNHR0Zjv5o7fypUrc+TIEaZNm2aMmzlzJs8//zxjxowBoFKlShw/fpy3337bIrl8J5GRkYwfPz5ffUVEREREREQKinYIi8hjadq0aURHR5OQkJDrnKOjo/Hp168fAAkJCTz99NMW/erXr2/8fPnyZZKSkujVq5fF+EmTJhklHnr06MHhw4epXLkygwcPZsuWLbmuXaNGDeNnT09PAPz8/Czarly5YuwujY+PZ8KECRbX7N27N6mpqWRmZt7xHvj4+BjJYAAvLy+LUgq9e/dmy5Yt/PLLL8CNkg03X8z3d9WuXTtX27Zt23j++ecpVaoUTk5OhISEcO7cOYt12NvbG8lguHE/fHx8cHR0tGi7dR0HDhygdevWlClTBicnJxo1agRASkoKcPdne7NPw4YNLdoaNmzIyZMnLcpT3MmoUaO4dOmS8Tl9+nS+xomIiIiIiIj8m7RDWEQeS8899xxBQUGMGjUq1w7Pw4cPGz87Ozvna76btW4XLVqUK7loZWUFQEBAAD/++CNffPEF27Zto2PHjjRt2tSivEGRIkWMn28mXm/XlpOTY1x3/Pjxxq7kW9na2t4x5lvnvTn3zXkB/P39qVmzJkuXLqVZs2YcO3aMDRsezMuGHBwcLI6Tk5Np1aoV/fv3Z/Lkybi7u7N792569erF1atXsbe3zzPmO63j8uXLBAUFERQURExMDB4eHqSkpBAUFMTVq1cfyFryy8bGBhsbm3/1miIiIiIiIiL3SglhEXlsTZ06lVq1alG5cmWL9goVKuTq6+vry549e+jWrZvR9u233xo/e3p6UrJkSX744QeCg4PzvKazszOdOnWiU6dOdOjQgebNm3P+/HmjvMK9CggIIDEx8bYx31SkSJF872L9q9dee41Zs2bxyy+/0LRpU7y9vfM91traGiBf1z5w4AA5OTnMmDGDQoVu/OOUVatW3VfMt/r+++85d+4cU6dONWLfv3+/RR9fX1+LWslg+Wxv9omLi7Noi4uLo1KlSkbCX0RERERERORxoISwiDy2/Pz8CA4OZs6cOXftO2TIEHr06EGdOnVo2LAhMTExHDt2jPLlyxt9xo8fz+DBg3FxcaF58+ZkZWWxf/9+Lly4wNChQ5k5cyZeXl74+/tTqFAhPv74Y0qUKJGrvu69GDt2LK1ataJMmTJ06NCBQoUKER8fz9GjR5k0aRJwozTE9u3badiwITY2Nri5ueV7/q5duxIeHs6iRYtYunTpPcVWtmxZTCYT69evp2XLltjZ2VmUdrhVhQoVuHbtGnPnzqV169YWL5v7O8qUKYO1tTVz586lX79+HD16lIkTJ1r06devHzNmzOCNN97gtdde48CBA7leFjds2DDq1q3LxIkT6dSpE9988w3z5s3L9WJBEZFHXfLUFws6BBEREREpYKohLCKPtQkTJliUSchLp06dGDNmDMOHD6d27dr89NNP9O/f36LPa6+9xuLFi1myZAl+fn40atSIqKgoypUrB4CTkxNvvfUWderUoW7duiQnJ7Nx40ZjR+z9CAoKYv369WzZsoW6devyzDPP8M4771i8sG7GjBls3boVb29v/P3972l+FxcXXnrpJRwdHWnbtu09jS1VqpTx0jtPT09CQ0Pz7FuzZk1mzpzJtGnTqF69OjExMURGRt7T9W7Hw8ODqKgoPv74Y6pWrcrUqVOZPn26RZ8yZcqwevVq1q5dS82aNXnvvfeYMmWKRZ+AgABWrVrFihUrqF69OmPHjmXChAn5fqGciIiIiIiIyKPCZDabzQUdhIiIFJznn3+eatWq5WsnteRfeno6Li4uXLp0Kd+1qkVERERERETuV36/h6pkhIjIE+rChQvExsYSGxur0ggiIiIiIiIiTwglhEVEnlD+/v5cuHCBadOm5XrxnoiIiIiIiIg8npQQFhF5QiUnJxd0CCIiIiIiIiLyL9NL5URERERERERERESeENohLCIij4SrV69ibW1d0GGIyGPOZ+SGgg7hH5U89cWCDkFERERECph2CIuIyD0LDAxk8ODBDB8+HHd3d0qUKEFERIRxfubMmfj5+eHg4IC3tzcDBgwgIyPDOB8VFYWrqytr166lYsWK2NraEhQUxOnTp40+ERER1KpVi8WLF1OuXDlsbW0BSElJoU2bNjg6OuLs7EzHjh05c+YMAN9//z329vYsX77cmGfVqlXY2dlx/PhxAC5evMhrr72Gh4cHzs7ONGnShPj4+FzXXbZsGT4+Pri4uNC5c2f++OOPf+ReioiIiIiIiPyblBAWEZH7Eh0djYODA3v27OGtt95iwoQJbN26FYBChQoxZ84cjh07RnR0NF9++SXDhw+3GJ+ZmcnkyZNZunQpcXFxXLx4kc6dO1v0OXXqFKtXr2bNmjUcPnyYnJwc2rRpw/nz59m5cydbt27lhx9+oFOnTgBUqVKF6dOnM2DAAFJSUvj555/p168f06ZNo2rVqgC8/PLLpKWl8cUXX3DgwAECAgJ4/vnnOX/+vHHdpKQk1q5dy/r161m/fj07d+5k6tSpd7wfWVlZpKenW3xEREREREREHjYms9lsLuggRETk0RIYGEh2dja7du0y2urVq0eTJk1umzj95JNP6NevH2fPngVu7BDu2bMn3377LU8//TRwY3evr68ve/bsoV69ekRERDBlyhR++eUXPDw8ANi6dSstWrTgxx9/xNvbG4Djx49TrVo19u7dS926dQFo1aoV6enpWFtbY2VlxaZNmzCZTOzevZsXX3yRtLQ0bGxsjPgqVKjA8OHD6dOnDxEREbz99tv89ttvODk5ATB8+HC++uorvv322zzvSUREBOPHj8/VfunSJZydne/p/opIwVHJCBERERF5VKWnp+Pi4nLX76GqISwiIvelRo0aFsdeXl6kpaUBsG3bNiIjI/n+++9JT0/n+vXrXLlyhczMTOzt7QEoXLiwkcCFG7t7XV1dSUhIoF69egCULVvWSAYDJCQk4O3tbSSDAapWrWqMuznfhx9+SKVKlShUqBDHjh3DZDIBEB8fT0ZGBkWLFrWI/c8//yQpKck49vHxMZLBf11bXkaNGsXQoUON4/T0dIs4RURERERERB4GSgiLiMh9KVKkiMWxyWQiJyeH5ORkWrVqRf/+/Zk8eTLu7u7s3r2bXr16cfXqVSMhnB8ODg73FVt8fDyXL1+mUKFCpKam4uXlBUBGRgZeXl7ExsbmGuPq6nrXtd2JjY2Nxa5jERERERERkYeREsIiIvJAHThwgJycHGbMmEGhQjdK1a9atSpXv+vXr7N//35jN3BiYiIXL17E19c3z7l9fX05ffo0p0+ftigZcfHiRaNG8Pnz5+nRowejR48mNTWV4OBgDh48iJ2dHQEBAfz2228ULlwYHx+fB7xyERERERERkYefEsIiIvJAVahQgWvXrjF37lxat25NXFwc7733Xq5+RYoUYdCgQcyZM4fChQsTGhrKM888YySIb6dp06b4+fkRHBzMrFmzuH79OgMGDKBRo0bUqVMHgH79+uHt7c2bb75JVlYW/v7+hIeH8+6779K0aVPq169P27Zteeutt6hUqRK//vorGzZsoF27dsYcIvLkUo1dEREREXncFSroAERE5PFSs2ZNZs6cybRp06hevToxMTFERkbm6mdvb8+IESPo2rUrDRs2xNHRkZUrV95xbpPJxGeffYabmxvPPfccTZs2pXz58sa4pUuXsnHjRpYtW0bhwoVxcHDgf//7H4sWLeKLL77AZDKxceNGnnvuOXr27EmlSpXo3LkzP/30E56env/I/RARERERERF5mJjMZrO5oIMQEZEnS1RUFGFhYVy8eLGgQ/nH5PftriIiIiIiIiIPQn6/h2qHsIiIiIiIiIiIiMgTQglhERERERERERERkSeEEsIiInnw8fFh1qxZ+e4fERFBrVq1/rF44EYN3bVr1+Z5Pjk5GZPJxOHDh//ROP6uHj16GOUiAgMDCQsL+1vzRUVF4erqahz/G89CRERERERE5FGkhLCIPBQeRFLwSZCamkqLFi0KOozbutcE+j8pPDyc7du3G8c9evSgbdu29z1fYGDg3w9KRERERERE5CFQuKADEBH5t129ehVra+uCDuO+lChRoqBDeCQ4Ojri6Oj4t+Y4ceIEBw8epHPnzkbbwYMH+fXXX2nVqtXfDVFEHjM+IzcUdAj5kjz1xYIOQUREREQKmHYIi8g9CQwMZNCgQYSFheHm5oanpyeLFi3i8uXL9OzZEycnJypUqMAXX3xhMe7o0aO0aNECR0dHPD09CQkJ4ezZs8CN3Zs7d+5k9uzZmEwmTCYTycnJAOzcuZN69ephY2ODl5cXI0eO5Pr16xbxhIaGEhoaiouLC8WKFWPMmDGYzWajj4+PDxMnTqRbt244OzvTp08fAFavXk21atWwsbHBx8eHGTNm3HHtKSkptGnTBkdHR5ydnenYsSNnzpzJ973Lzs6mV69elCtXDjs7OypXrszs2bNz9fvwww+NuLy8vAgNDTXO/bVkxN69e/H398fW1pY6depw6NChu8bh4+PDpEmT6NatG46OjpQtW5Z169bx+++/G+urUaMG+/fvtxi3e/dunn32Wezs7PD29mbw4MFcvnwZuPEcfvrpJ15//XXjGQKcO3eOLl26UKpUKezt7fHz8+Ojjz7KFdP169fv+AwvXLhAt27dcHNzw97enhYtWnDy5Mk813hryYiIiAiio6P57LPPjNhiY2MBOH36NB07dsTV1RV3d3fatGlj/O4VK1aMHTt20LFjRy5evMjYsWMZNWoU5cuXv+s9FhEREREREXlYKSEsIvcsOjqaYsWKsXfvXgYNGkT//v15+eWXadCgAQcPHqRZs2aEhISQmZkJwMWLF2nSpAn+/v7s37+fTZs2cebMGTp27AjA7NmzqV+/Pr179yY1NZXU1FS8vb355ZdfaNmyJXXr1iU+Pp4FCxbwwQcfMGnSpFzxFC5cmL179zJ79mxmzpzJ4sWLLfpMnz6dmjVrcujQIcaMGcOBAwfo2LEjnTt35siRI0RERDBmzBiioqJuu+acnBzatGnD+fPn2blzJ1u3buWHH36gU6dO+b5vOTk5lC5dmo8//pjjx48zduxY/s//+T+sWrXK6LNgwQIGDhxInz59OHLkCOvWraNChQq3nS8jI4NWrVpRtWpVDhw4QEREBOHh4fmK5Z133qFhw4YcOnSIF198kZCQELp168Yrr7zCwYMHeeqpp+jWrZuRlE1KSqJ58+a89NJLfPfdd6xcuZLdu3cbyeo1a9ZQunRpJkyYYDxDgCtXrlC7dm02bNjA0aNH6dOnDyEhIezdu9cinrs9wx49erB//37WrVvHN998g9lspmXLlly7du2uaw0PD6djx440b97ciK1BgwZcu3aNoKAgnJyc2LVrF3FxcTg6OtK8eXOuXr2Ku7s7CxcupGnTpsTHx5OUlMTmzZupWrXqba+TlZVFenq6xUdERERERETkYaOSESJyz2rWrMmbb74JwKhRo5g6dSrFihWjd+/eAIwdO5YFCxbw3Xff8cwzzzBv3jz8/f2ZMmWKMceHH36It7c3J06coFKlSlhbW2Nvb29REmH+/Pl4e3szb948TCYTVapU4ddff2XEiBGMHTuWQoVu/J2Wt7c377zzDiaTicqVK3PkyBHeeecdIx6AJk2aMGzYMOM4ODiY559/njFjxgBQqVIljh8/zttvv02PHj1yrXn79u0cOXKEH3/8EW9vbwCWLl1KtWrV2LdvH3Xr1r3rfStSpAjjx483jsuVK8c333zDqlWrjOT4pEmTGDZsGEOGDDH65TX38uXLycnJ4YMPPsDW1pZq1arx888/079//7vG0rJlS/r27Qv8/+dVt25dXn75ZQBGjBhB/fr1OXPmDCVKlCAyMpLg4GCjznPFihWZM2cOjRo1YsGCBbi7u2NlZYWTk5PFMyxVqpRFknrQoEFs3ryZVatWUa9ePaP9Ts/w5MmTrFu3jri4OBo0aABATEwM3t7erF271og5L46OjtjZ2ZGVlWUR2//+9z9ycnJYvHixsaN5yZIluLq6EhsbS926dRk9ejRnz56lZs2aPPXUU7Ro0YJZs2ZRuXLlXNeJjIy0eL4iIiIiIiIiDyPtEBaRe1ajRg3jZysrK4oWLYqfn5/R5unpCUBaWhoA8fHx7Nixw6jr6ujoSJUqVYAbO0/zkpCQQP369Y1kHUDDhg3JyMjg559/NtqeeeYZiz7169fn5MmTZGdnG2116tTJNXfDhg0t2ho2bJhr3K39vb29jWQwQNWqVXF1dSUhISHPNfzVu+++S+3atfHw8MDR0ZH333+flJQU4Mb9+vXXX3n++efzNVdCQgI1atTA1tbWaKtfv36+xt76DG8+r7s9w6ioKItnGBQURE5ODj/++GOe18nOzmbixIn4+fnh7u6Oo6MjmzdvNtZ8052eYUJCAoULF+bpp582zhctWpTKlSvf073/q/j4eE6dOoWTk5OxJnd3d65cuUJSUhJpaWk8++yzrFq1CldXVyZMmMDkyZM5ceLEbecbNWoUly5dMj6nT5++79hERERERERE/inaISwi96xIkSIWxyaTyaLtZmIvJycHuFHaoHXr1kybNi3XXF5eXv9gpP+fg4PDv3KdO1mxYgXh4eHMmDGD+vXr4+TkxNtvv82ePXsAsLOz+9diud3zutsz7Nu3L4MHD841V5kyZfK8zttvv83s2bOZNWsWfn5+ODg4EBYWxtWrVx/IOv6OjIwMateuTUxMTK5zHh4euLi45NoJHBAQQEBAwG3ns7GxwcbG5h+JVURERERERORBUUJYRP5xAQEBrF69Gh8fHwoXvv3/dqytrXPtzPX19WX16tWYzWYjQRkXF4eTkxOlS5c2+t1MqN707bffUrFiRaysrPKMydfXl7i4OIu2uLg4KlWqdNtxvr6+nD59mtOnTxu7hI8fP87FixfzrCn7VzdLHgwYMMBou3WHtJOTEz4+Pmzfvp3GjRvfdT5fX1+WLVvGlStXjF3C3377bb5iuVcBAQEcP348z3rGcPtnGBcXR5s2bXjllVeAGwnmEydO5Lpnd3qGvr6+XL9+nT179hglI86dO0diYmK+7/3tYgsICGDlypUUL14cZ2fnO46/+RI6ERERERERkUedEsIi8o8bOHAgixYtokuXLgwfPhx3d3dOnTrFihUrWLx4MVZWVvj4+LBnzx6Sk5ONf7o/YMAAZs2axaBBgwgNDSUxMZFx48YxdOhQo34wQEpKCkOHDqVv374cPHiQuXPnMmPGjDvGNGzYMOrWrcvEiRPp1KkT33zzDfPmzWP+/Pm37d+0aVP8/PwIDg5m1qxZXL9+nQEDBtCoUaNc5SjyUrFiRZYuXcrmzZspV64cy5YtY9++fZQrV87oExERQb9+/ShevDgtWrTgjz/+IC4ujkGDBuWar2vXrowePZrevXszatQokpOTmT59er5iuVcjRozgmWeeITQ0lNdeew0HBweOHz/O1q1bmTdvHgA+Pj589dVXdO7cGRsbG4oVK0bFihX55JNP+Prrr3Fzc2PmzJmcOXMmVyL3Ts+wYsWKtGnTht69e7Nw4UKcnJwYOXIkpUqVok2bNvmK38fHh82bN5OYmEjRokVxcXEhODiYt99+mzZt2jBhwgRKly7NTz/9xJo1axg+fLjFXzqIiNxN8tQXCzoEEREREZF8UQ1hEfnHlSxZkri4OLKzs2nWrBl+fn6EhYXh6upqJHbDw8OxsrKiatWqeHh4kJKSQqlSpdi4cSN79+6lZs2a9OvXj169ehkvtLupW7du/Pnnn9SrV4+BAwcyZMgQ+vTpc8eYAgICWLVqFStWrKB69eqMHTuWCRMm3PaFcnCjhMJnn32Gm5sbzz33HE2bNqV8+fKsXLky3/ehb9++tG/fnk6dOvH0009z7tw5i93CAN27d2fWrFnMnz+fatWq0apVK06ePHnb+RwdHfn88885cuQI/v7+jB49+rZlOR6EGjVqsHPnTk6cOMGzzz6Lv78/Y8eOpWTJkkafCRMmkJyczFNPPYWHhwcAb775JgEBAQQFBREYGEiJEiVo27Ztrvnv9gyXLFlC7dq1adWqFfXr18dsNrNx48Zc5Uvy0rt3bypXrkydOnXw8PAgLi4Oe3t7vvrqK8qUKUP79u3x9fWlV69eXLly5a47hkVEREREREQeVSaz2Wwu6CBERO5XYGAgtWrVYtasWQUdioiF9PR0XFxcuHTpkhLMIiIiIiIi8o/L7/dQ7RAWEREREREREREReUIoISwiIiIiIiIiIiLyhFBCWEQeabGxsSoXIffMx8fnnn5vIiIiqFWr1j8Wj4iIiIiIiMi/RQlhERH5RwUGBhIWFlbQYYiIiIiIiIgIULigAxAREXlQrl69irW1dUGHISIPOZ+RGwo6hAKTPPXFgg5BRERERAqYdgiLiIghMDCQQYMGERYWhpubG56enixatIjLly/Ts2dPnJycqFChAl988YUx5ujRo7Ro0QJHR0c8PT0JCQnh7NmzAPTo0YOdO3cye/ZsTCYTJpOJ5ORkAHbu3Em9evWwsbHBy8uLkSNHcv36dYtYQkNDCQ0NxcXFhWLFijFmzBjMZrPRx8fHh4kTJ9KtWzecnZ3p06cPAKtXr6ZatWrY2Njg4+PDjBkz7rjulJQU2rRpg6OjI87OznTs2JEzZ848qNsqIiIiIiIi8tBQQlhERCxER0dTrFgx9u7dy6BBg+jfvz8vv/wyDRo04ODBgzRr1oyQkBAyMzO5ePEiTZo0wd/fn/3797Np0ybOnDlDx44dAZg9ezb169end+/epKamkpqaire3N7/88gstW7akbt26xMfHs2DBAj744AMmTZqUK5bChQuzd+9eZs+ezcyZM1m8eLFFn+nTp1OzZk0OHTrEmDFjOHDgAB07dqRz584cOXKEiIgIxowZQ1RU1G3Xm5OTQ5s2bTh//jw7d+5k69at/PDDD3Tq1Ome7ltWVhbp6ekWHxEREREREZGHjUpGiIiIhZo1a/Lmm28CMGrUKKZOnUqxYsXo3bs3AGPHjmXBggV89913bNu2DX9/f6ZMmWKM//DDD/H29ubEiRNUqlQJa2tr7O3tKVGihNFn/vz5eHt7M2/ePEwmE1WqVOHXX39lxIgRjB07lkKFbvx9pbe3N++88w4mk4nKlStz5MgR3nnnHSMWgCZNmjBs2DDjODg4mOeff54xY8YAUKlSJY4fP87bb79Njx49cq13+/btHDlyhB9//BFvb28Ali5dSrVq1di3bx9169bN132LjIxk/Pjx+eorIiIiIiIiUlC0Q1hERCzUqFHD+NnKyoqiRYvi5+dntHl6egKQlpZGfHw8O3bswNHR0fhUqVIFgKSkpDyvkZCQQP369TGZTEZbw4YNycjI4OeffzbannnmGYs+9evX5+TJk2RnZxttderUyTV3w4YNLdoaNmyYa9yt/b29vY1kMEDVqlVxdXUlISEhzzX81ahRo7h06ZLxOX36dL7HioiIiIiIiPxbtENYREQsFClSxOLYZDJZtN1M0Obk5JCRkUHr1q2ZNm1arnm8vLz+2UD/HwcHh3/lOndjY2ODjY1NQYchIiIiIiIickdKCIuIyH0LCAhg9erV+Pj4ULjw7f9Isba2zrUz19fXl9WrV2M2m40Ec1xcHE5OTpQuXdrot2fPHotx3377LRUrVsTKyirPmHx9fYmLi7Noi4uLo1KlSrcd5+vry+nTpzl9+rSxS/j48eNcvHiRqlWr3mH1IvKoSp76YkGHICIiIiJSYFQyQkRE7tvAgQM5f/48Xbp0Yd++fSQlJbF582Z69uxpJIF9fHzYs2cPycnJnD17lpycHAYMGMDp06cZNGgQ33//PZ999hnjxo1j6NChRv1ggJSUFIYOHUpiYiIfffQRc+fOZciQIXeMadiwYWzfvp2JEydy4sQJoqOjmTdvHuHh4bft37RpU/z8/AgODubgwYPs3buXbt260ahRo1zlKEREREREREQedUoIi4jIfStZsiRxcXFkZ2fTrFkz/Pz8CAsLw9XV1UjshoeHY2VlRdWqVfHw8CAlJYVSpUqxceNG9u7dS82aNenXrx+9evUyXmZ3U7du3fjzzz+pV68eAwcOZMiQIfTp0+eOMQUEBLBq1SpWrFhB9erVGTt2LBMmTLjtC+XgRgmMzz77DDc3N5577jmaNm1K+fLlWbly5QO5RyIiIiIiIiIPE5PZbDYXdBAiIiJ/FRgYSK1atZg1a1ZBh3Jf0tPTcXFx4dKlSzg7Oxd0OCIiIiIiIvKYy+/3UO0QFhEREREREREREXlCKCEsIiIFLi4uDj8/P4oUKULbtm3/9esHBgYSFhb2r19XRERERERE5N+mkhEiIvKvyasMxNNPP02lSpWIjIzE0dERV1fXfzWu8+fPU6RIEZycnB7YnCoZISIiIiIiIv+m/H4PLfwvxiQiInJbSUlJ9OvXj9KlS9/3HFevXsXa2vq+xrq7u9/3dUVEHiU+IzcUdAgFLnnqiwUdgoiIiEiBUskIERG5rcDAQAYNGkRYWBhubm54enqyaNEiLl++TM+ePXFycqJChQp88cUXxpijR4/SokULHB0d8fT0JCQkhLNnzwLQo0cPdu7cyezZszGZTJhMJpKTkzGZTJw7d45XX30Vk8lEVFQUADt37qRevXrY2Njg5eXFyJEjuX79ukV8oaGhhIWFUaxYMYKCgoiNjcVkMrF582b8/f2xs7OjSZMmpKWl8cUXX+Dr64uzszNdu3YlMzPTYq5bS0b4+PgwZcoUXn31VZycnChTpgzvv//+P3vDRURERERERP4FSgiLiEieoqOjKVasGHv37mXQoEH079+fl19+mQYNGnDw4EGaNWtGSEgImZmZXLx4kSZNmuDv78/+/fvZtGkTZ86coWPHjgDMnj2b+vXr07t3b1JTU0lNTcXb25vU1FScnZ2ZNWsWqampdOrUiV9++YWWLVtSt25d4uPjWbBgAR988AGTJk3KFZ+1tTVxcXG89957RntERATz5s3j66+/5vTp03Ts2JFZs2axfPlyNmzYwJYtW5g7d+4d1z5jxgzq1KnDoUOHGDBgAP379ycxMfHB32QRERERERGRf5FKRoiISJ5q1qzJm2++CcCoUaOYOnUqxYoVo3fv3gCMHTuWBQsW8N1337Ft2zb8/f2ZMmWKMf7DDz/E29ubEydOUKlSJaytrbG3t6dEiRJGnxIlSmAymXBxcTHa58+fj7e3N/PmzcNkMlGlShV+/fVXRowYwdixYylU6MbfZ1asWJG33nrLmCs1NRWASZMm0bBhQwB69erFqFGjSEpKonz58gB06NCBHTt2MGLEiDzX3rJlSwYMGADAiBEjeOedd9ixYweVK1e+bf+srCyysrKM4/T09PzcYhEREREREZF/lXYIi4hInmrUqGH8bGVlRdGiRfHz8zPaPD09AUhLSyM+Pp4dO3bg6OhofKpUqQLcqBF8LxISEqhfvz4mk8loa9iwIRkZGfz8889GW+3ate8at6enJ/b29kYy+GZbWlraHWO4dQ6TyUSJEiXuOCYyMhIXFxfj4+3tfcf5RURERERERAqCdgiLiEieihQpYnFsMpks2m4mbHNycsjIyKB169ZMmzYt1zxeXl7/SHwODg63bf9rjLdbR05Ozh3nvtcxo0aNYujQocZxenq6ksIiIiIiIiLy0FFCWEREHoiAgABWr16Nj48PhQvf/o8Xa2trsrOz7zqXr68vq1evxmw2G0nnuLg4nJycKF269AON+0GxsbHBxsamoMMQERERERERuSMlhEVE5IEYOHAgixYtokuXLgwfPhx3d3dOnTrFihUrWLx4MVZWVvj4+LBnzx6Sk5NxdHTE3d3dqAd8qwEDBjBr1iwGDRpEaGgoiYmJjBs3jqFDh962v4iI5E/y1BcLOgQRERERKWD6Vi0iIg9EyZIliYuLIzs7m2bNmuHn50dYWBiurq5GEjc8PBwrKyuqVq2Kh4cHKSkpt52rVKlSbNy4kb1791KzZk369etHr169jBfciYiIiIiIiMj9MZnNZnNBByEiIvK4SU9Px8XFhUuXLuHs7FzQ4YiIiIiIiMhjLr/fQ7VDWEREREREREREROQJoYSwiIiIiIiIiIiIyBNCCWEREflH+fj4MGvWrIIOQ0RERERERERQQlhERJ5gsbGxmEwmLl68WNChiIiIiIiIiPwrlBAWEZH7cvXq1YIOQURERERERETukRLCIiKPmMDAQAYNGkRYWBhubm54enqyaNEiLl++TM+ePXFycqJChQp88cUXxpijR4/SokULHB0d8fT0JCQkhLNnz1rMGRoaSmhoKC4uLhQrVowxY8ZgNpuNPj4+PkycOJFu3brh7OxMnz59AFi9ejXVqlXDxsYGHx8fZsyYkSvmP/74gy5duuDg4ECpUqV49913Lc7PnDkTPz8/HBwc8Pb2ZsCAAWRkZBjno6KicHV1Zf369VSuXBl7e3s6dOhAZmYm0dHR+Pj44ObmxuDBg8nOzjbGLVu2jDp16uDk5ESJEiXo2rUraWlpACQnJ9O4cWMA3NzcMJlM9OjRA4CcnBwiIyMpV64cdnZ21KxZk08++eR+H5mIiIiIiIjIQ0MJYRGRR1B0dDTFihVj7969DBo0iP79+/Pyyy/ToEEDDh48SLNmzQgJCSEzM5OLFy/SpEkT/P392b9/P5s2beLMmTN07Ngx15yFCxdm7969zJ49m5kzZ7J48WKLPtOnT6dmzZocOnSIMWPGcODAATp27Ejnzp05cuQIERERjBkzhqioKItxb7/9tjFu5MiRDBkyhK1btxrnCxUqxJw5czh27BjR0dF8+eWXDB8+3GKOzMxM5syZw4oVK9i0aROxsbG0a9eOjRs3snHjRpYtW8bChQstErfXrl1j4sSJxMfHs3btWpKTk42kr7e3N6tXrwYgMTGR1NRUZs+eDUBkZCRLly7lvffe49ixY7z++uu88sor7Ny58289NxEREREREZGCZjLfuv1LREQeeoGBgWRnZ7Nr1y4AsrOzcXFxoX379ixduhSA3377DS8vL7755hu2bdvGrl272Lx5szHHzz//jLe3N4mJiVSqVInAwEDS0tI4duwYJpMJgJEjR7Ju3TqOHz8O3Ngh7O/vz6effmrMExwczO+//86WLVuMtuHDh7NhwwaOHTtmjPP19bXYsdy5c2fS09PZuHHjbdf4ySef0K9fP2MXc1RUFD179uTUqVM89dRTAPTr149ly5Zx5swZHB0dAWjevDk+Pj689957t513//791K1blz/++ANHR0diY2Np3LgxFy5cwNXVFYCsrCzc3d3Ztm0b9evXN8a+9tprZGZmsnz58tvOnZWVRVZWlnGcnp6Ot7c3ly5dwtnZ+bZjRERERERERB6U9PR0XFxc7vo9VDuERUQeQTVq1DB+trKyomjRovj5+Rltnp6eAKSlpREfH8+OHTtwdHQ0PlWqVAEgKSnJGPPMM88YyWCA+vXrc/LkSYsSDHXq1LGIIyEhgYYNG1q0NWzYMNe4WxOrN48TEhKM423btvH8889TqlQpnJycCAkJ4dy5c2RmZhp97O3tjWTwzTX6+PgYyeCbbTdLQgAcOHCA1q1bU6ZMGZycnGjUqBEAKSkp5OXUqVNkZmbywgsvWNyzpUuXWtyvv4qMjMTFxcX4eHt759lXREREREREpKAULugARETk3hUpUsTi2GQyWbTdTOzm5OSQkZFB69atmTZtWq55vLy87um6Dg4O9xHtnSUnJ9OqVSv69+/P5MmTcXd3Z/fu3fTq1YurV69ib28P3H3NN9tycnIAuHz5MkFBQQQFBRETE4OHhwcpKSkEBQXd8YV4N2sXb9iwgVKlSlmcs7GxyXPcqFGjGDp0qHF8c4ewiIiIiIiIyMNECWERkcdcQEAAq1evxsfHh8KF8/7f/p49eyyOv/32WypWrIiVlVWeY3x9fYmLi7Noi4uLo1KlShbjvv3221xz+/r6Ajd28ebk5DBjxgwKFbrxD1dWrVqVv8Xdwffff8+5c+eYOnWqkZjdv3+/RR9ra2sAi93MVatWxcbGhpSUFGNHcX7Y2NjcMWEsIiIiIiIi8jBQyQgRkcfcwIEDOX/+PF26dGHfvn0kJSWxefNmevbsaZEITUlJYejQoSQmJvLRRx8xd+5chgwZcse5hw0bxvbt25k4cSInTpwgOjqaefPmER4ebtEvLi6Ot956ixMnTvDuu+/y8ccfG3NXqFCBa9euMXfuXH744QeWLVuWZw3ge1GmTBmsra2NedetW8fEiRMt+pQtWxaTycT69ev5/fffycjIwMnJifDwcF5//XWio6NJSkri4MGDzJ07l+jo6L8dl4iIiIiIiEhBUkJYROQxV7JkSeLi4sjOzqZZs2b4+fkRFhaGq6ursSMXoFu3bvz555/Uq1ePgQMHMmTIEPr06XPHuQMCAli1ahUrVqygevXqjB07lgkTJtCjRw+LfsOGDWP//v34+/szadIkZs6cSVBQEAA1a9Zk5syZTJs2jerVqxMTE0NkZOTfXreHhwdRUVF8/PHHVK1alalTpzJ9+nSLPqVKlWL8+PGMHDkST09PQkNDAZg4cSJjxowhMjISX19fmjdvzoYNGyhXrtzfjktERERERESkIJnMZrO5oIMQEZGCFRgYSK1atZg1a1ZBh/LYyO/bXUVEREREREQehPx+D9UOYREREREREREREZEnhBLCIiIiIiIiIiIiIk8IJYRFRITY2Nj7LhcRGBhIWFgYAD4+Pnedx2QysXbt2vu61v2IiorC1dX1X7ueiIiIiIiIyMOscEEHICIij499+/bh4OBQ0GFY6NSpEy1btizoMEREREREREQeCkoIi4jIA+Ph4VHQIeRiZ2eHnZ1dQYchIiIiIiIi8lBQyQgREXlg/loy4uTJkzz33HPY2tpStWpVtm7dmmvMkSNHaNKkCXZ2dhQtWpQ+ffqQkZFh0efDDz+kWrVq2NjY4OXlRWhoqHFu5syZ+Pn54eDggLe3NwMGDLAY/9eSEREREdSqVYtly5bh4+ODi4sLnTt35o8//jD65OTkEBkZSbly5bCzs6NmzZp88sknD+AOiYiIiIiIiBQsJYRFROQfkZOTQ/v27bG2tmbPnj289957jBgxwqLP5cuXCQoKws3NjX379vHxxx+zbds2i4TvggULGDhwIH369OHIkSOsW7eOChUqGOcLFSrEnDlzOHbsGNHR0Xz55ZcMHz78jrElJSWxdu1a1q9fz/r169m5cydTp041zkdGRrJ06VLee+89jh07xuuvv84rr7zCzp07H9DdERERERERESkYKhkhIiL/iG3btvH999+zefNmSpYsCcCUKVNo0aKF0Wf58uVcuXKFpUuXGrWH582bR+vWrZk2bRqenp5MmjSJYcOGMWTIEGNc3bp1jZ9vvtAObuxQnjRpEv369WP+/Pl5xpaTk0NUVBROTk4AhISEsH37diZPnkxWVhZTpkxh27Zt1K9fH4Dy5cuze/duFi5cSKNGjW47Z1ZWFllZWcZxenp6fm+ViIiIiIiIyL9GCWEREflHJCQk4O3tbSSDASPBemufmjVrWryIrmHDhuTk5JCYmIjJZOLXX3/l+eefz/M627ZtIzIyku+//5709HSuX7/OlStXyMzMxN7e/rZjfHx8jGQwgJeXF2lpaQCcOnWKzMxMXnjhBYsxV69exd/fP884IiMjGT9+fJ7nRURERERERB4GSgiLiMhD624vg0tOTqZVq1b079+fyZMn4+7uzu7du+nVqxdXr17NMyFcpEgRi2OTyUROTg6AUX94w4YNlCpVyqKfjY1NnrGMGjWKoUOHGsfp6el4e3vfMX4RERERERGRf5sSwiIi8o/w9fXl9OnTpKam4uXlBcC3336bq09UVBSXL182dgnHxcVRqFAhKleujJOTEz4+Pmzfvp3GjRvnusaBAwfIyclhxowZFCp0oyz+qlWr/lbcVatWxcbGhpSUlDzLQ9yOjY3NHRPGIiIiIiIiIg8DvVRORET+EU2bNqVSpUp0796d+Ph4du3axejRoy36BAcHY2trS/fu3Tl69Cg7duxg0KBBhISE4OnpCUBERAQzZsxgzpw5nDx5koMHDzJ37lwAKlSowLVr15g7dy4//PADy5Yt47333vtbcTs5OREeHs7rr79OdHQ0SUlJxjWjo6P/1twiIiIiIiIiBU0JYRER+UcUKlSITz/9lD///JN69erx2muvMXnyZIs+9vb2bN68mfPnz1O3bl06dOjA888/z7x584w+3bt3Z9asWcyfP59q1arRqlUrTp48CUDNmjWZOXMm06ZNo3r16sTExBAZGfm3Y584cSJjxowhMjISX19fmjdvzoYNGyhXrtzfnltERERERESkIJnMZrO5oIMQERF53KSnp+Pi4sKlS5dwdnYu6HBERERERETkMZff76HaISwiIiIiIiIiIiLyhFBCWEREREREREREROQJoYSwiMgjKjAwkLCwsAKNITk5GZPJxOHDhws0DhERERERERHJHyWERUQkX3r06EHbtm0t2ry9vUlNTaV69eoFE9QtHoYEuYiIiIiIiMjDrnBBByAiIo8uKysrSpQoked5s9lMdnY2hQvrjxuRx5XPyA0FHYLcg+SpLxZ0CCIiIiJSwLRDWETkMZCVlUV4eDilSpXCwcGBp59+mtjYWODGW0bt7Oz44osvLMZ8+umnODk5kZmZCcDp06fp2LEjrq6uuLu706ZNG5KTkwGIiIggOjqazz77DJPJhMlkIjY2NlfJiNjYWEwmE1988QW1a9fGxsaG3bt3k5SURJs2bfD09MTR0ZG6deuybdu2XGsYMWIE3t7e2NjYUKFCBT744APj/NGjR2nRogWOjo54enoSEhLC2bNngRu7l3fu3Mns2bON+JKTk8nOzqZXr16UK1cOOzs7KleuzOzZsy2ue3Pn85QpU/D09MTV1ZUJEyZw/fp13njjDdzd3SldujRLlix5UI9LREREREREpMAoISwi8hgIDQ3lm2++YcWKFXz33Xe8/PLLNG/enJMnT+Ls7EyrVq1Yvny5xZiYmBjatm2Lvb09165dIygoCCcnJ3bt2kVcXByOjo40b96cq1evEh4eTseOHWnevDmpqamkpqbSoEGDPOMZOXIkU6dOJSEhgRo1apCRkUHLli3Zvn07hw4donnz5rRu3ZqUlBRjTLdu3fjoo4+YM2cOCQkJLFy4EEdHRwAuXrxIkyZN8Pf3Z//+/WzatIkzZ87QsWNHAGbPnk39+vXp3bu3EZ+3tzc5OTmULl2ajz/+mOPHjzN27Fj+z//5P6xatcoi3i+//JJff/2Vr776ipkzZzJu3DhatWqFm5sbe/bsoV+/fvTt25eff/45zzVnZWWRnp5u8RERERERERF52JjMZrO5oIMQEZF7FxgYSK1atRg6dCjly5cnJSWFkiVLGuebNm1KvXr1mDJlCmvXriUkJIQzZ85gb29Peno6np6efPrppzRv3pz//e9/TJo0iYSEBEwmEwBXr17F1dWVtWvX0qxZM3r06MHFixdZu3atcY3k5GTKlSvHoUOHqFWrFrGxsTRu3Ji1a9fSpk2bO8ZfvXp1+vXrR2hoKCdOnKBy5cps3bqVpk2b5uo7adIkdu3axebNm422n3/+GW9vbxITE6lUqZJxP2bNmnXH64aGhvLbb7/xySefADd2CMfGxvLDDz9QqNCNvyetUqUKxYsX56uvvgIgOzsbFxcXFi9eTOfOnW87b0REBOPHj8/VfunSJZydne8Yk8ijTCUjHi0qGSEiIiLy+EpPT8fFxeWu30NV1FFE5BF35MgRsrOzqVSpkkV7VlYWRYsWBaBly5YUKVKEdevW0blzZ1avXo2zs7ORfI2Pj+fUqVM4OTlZzHHlyhWSkpLuOaY6depYHGdkZBAREcGGDRtITU3l+vXr/Pnnn8YO4cOHD2NlZUWjRo1uO198fDw7duwwdgzfKikpKdfab/Xuu+/y4YcfkpKSwp9//snVq1epVauWRZ9q1aoZyWAAT09PixflWVlZUbRoUdLS0vK8zqhRoxg6dKhxnJ6ejre3d579RURERERERAqCEsIiIo+4jIwMrKysOHDgAFZWVhbnbiZQra2t6dChA8uXL6dz584sX76cTp06GS97y8jIoHbt2sTExOSa38PD455jcnBwsDgODw9n69atTJ8+nQoVKmBnZ0eHDh24evUqAHZ2dnddY+vWrZk2bVquc15eXnmOW7FiBeHh4cyYMYP69evj5OTE22+/zZ49eyz6FSlSxOLYZDLdti0nJyfPa9nY2GBjY3PHdYiIiIiIiIgUNCWERUQecf7+/mRnZ5OWlsazzz6bZ7/g4GBeeOEFjh07xpdffsmkSZOMcwEBAaxcuZLixYvn+c9KrK2tyc7Ovq8Y4+Li6NGjB+3atQNuJHhvvrAOwM/Pj5ycHHbu3HnbkhEBAQGsXr0aHx8fI4mdn/ji4uJo0KABAwYMMNruZ8eziIiIiIiIyONCCWERkUdcpUqVCA4Oplu3bsyYMQN/f39+//13tm/fTo0aNXjxxRv1Ip977jlKlChBcHAw5cqV4+mnnzbmCA4O5u2336ZNmzZMmDCB0qVL89NPP7FmzRqGDx9O6dKl8fHxYfPmzSQmJlK0aFFcXFzyHWPFihVZs2YNrVu3xmQyMWbMGIvdtj4+PnTv3p1XX32VOXPmULNmTX766SfS0tLo2LEjAwcOZNGiRXTp0oXhw4fj7u7OqVOnWLFiBYsXL8bKygofHx/27NlDcnIyjo6OuLu7U7FiRZYuXcrmzZspV64cy5YtY9++fZQrV+7BPQCRJ5xq0oqIiIiIPFoK3b2LiIg87JYsWUK3bt0YNmwYlStXpm3btuzbt48yZcoYfUwmE126dCE+Pp7g4GCL8fb29nz11VeUKVOG9u3b4+vrS69evbhy5YqxY7h3795UrlyZOnXq4OHhQVxcXL7jmzlzJm5ubjRo0IDWrVsTFBREQECARZ8FCxbQoUMHBgwYQJUqVejduzeXL18GoGTJksTFxZGdnU2zZs3w8/MjLCwMV1dXo/ZveHg4VlZWVK1aFQ8PD1JSUujbty/t27enU6dOPP3005w7d85it7CIiIiIiIjIk8ZkNpvNBR2EiIjI4ya/b3cVEREREREReRDy+z1UO4RFREREREREREREnhBKCIuIiIiIiIiIiIg8IZQQFhF5QgUGBhIWFlbQYdwTk8nE2rVr890/NjYWk8nExYsX/7GYRERERERERB4lSgiLiEiBudeEbWpqKi1atMj3/A0aNCA1NRUXF5f7jFBERERERETk8VK4oAMQERG5m6tXr2JtbU2JEiXuadz9jBEReZz5jNxQ0CE8MZKnvljQIYiIiIjclnYIi4gIy5Yto06dOjg5OVGiRAm6du1KWlqacf7mTt7Nmzfj7++PnZ0dTZo0IS0tjS+++AJfX1+cnZ3p2rUrmZmZxrisrCwGDx5M8eLFsbW15T//+Q/79u0DIDk5mcaNGwPg5uaGyWSiR48ewI1yFqGhoYSFhVGsWDGCgoKA3CUjvv76a2rVqoWtrS116tRh7dq1mEwmDh8+bBH3zR3IUVFRuLq6snnzZnx9fXF0dKR58+akpqZa3I/Fixfj6+uLra0tVapUYf78+Q/ydouIiIiIiIgUGCWERUSEa9euMXHiROLj41m7di3JyclGcvZWERERzJs3j6+//prTp0/TsWNHZs2axfLly9mwYQNbtmxh7ty5Rv/hw4ezevVqoqOjOXjwIBUqVCAoKIjz58/j7e3N6tWrAUhMTCQ1NZXZs2cbY6Ojo7G2tiYuLo733nsvVyzp6em0bt0aPz8/Dh48yMSJExkxYsRd15qZmcn06dNZtmwZX331FSkpKYSHhxvnY2JiGDt2LJMnTyYhIYEpU6YwZswYoqOj7zhvVlYW6enpFh8RERERERGRh41KRoiICK+++qrxc/ny5ZkzZw5169YlIyMDR0dH49ykSZNo2LAhAL169WLUqFEkJSVRvnx5ADp06MCOHTsYMWIEly9fZsGCBURFRRl1fxctWsTWrVv54IMPeOONN3B3dwegePHiuLq6WsRUsWJF3nrrrTxjXr58OSaTiUWLFmFra0vVqlX55Zdf6N279x3Xeu3aNd577z2eeuopAEJDQ5kwYYJxfty4ccyYMYP27dsDUK5cOY4fP87ChQvp3r17nvNGRkYyfvz4O15bREREREREpKBph7CIiHDgwAFat25NmTJlcHJyolGjRgCkpKRY9KtRo4bxs6enJ/b29kYy+GbbzVITSUlJXLt2zUggAxQpUoR69eqRkJBw15hq1659x/OJiYnUqFEDW1tbo61evXp3ndfe3t5IBgN4eXkZMV++fJmkpCR69eqFo6Oj8Zk0aRJJSUl3nHfUqFFcunTJ+Jw+ffqusYiIiIiIiIj827RDWETkCXf58mWCgoIICgoiJiYGDw8PUlJSCAoK4urVqxZ9ixQpYvxsMpksjm+25eTkPJC4HBwcHsg8f3W7mM1mMwAZGRnAjZ3MTz/9tEU/KyurO85rY2ODjY3NA4xURERERERE5MHTDmERkSfc999/z7lz55g6dSrPPvssVapUsXih3P166qmnjBrAN127do19+/ZRtWpVAKytrQHIzs6+5/krV67MkSNHyMrKMtpuvrDufnl6elKyZEl++OEHKlSoYPEpV67c35pbRERERERE5GGgHcIiIk+4MmXKYG1tzdy5c+nXrx9Hjx5l4sSJf3teBwcH+vfvb9QKLlOmDG+99RaZmZn06tULgLJly2IymVi/fj0tW7bEzs7OombxnXTt2pXRo0fTp08fRo4cSUpKCtOnTwdu7Pq9X+PHj2fw4MG4uLjQvHlzsrKy2L9/PxcuXGDo0KH3Pa+IyMMgeeqLBR2CiIiIiBQw7RAWEXnCeXh4EBUVxccff0zVqlWZOnWqkVj9u6ZOncpLL71ESEgIAQEBnDp1is2bN+Pm5gZAqVKlGD9+PCNHjsTT05PQ0NB8z+3s7Mznn3/O4cOHqVWrFqNHj2bs2LEAFnWF79Vrr73G4sWLWbJkCX5+fjRq1IioqCjtEBYREREREZHHgsl8s3CiiIjIIy4mJoaePXty6dIl7OzsCjSW9PR0XFxcuHTpEs7OzgUai4iIiIiIiDz+8vs9VCUjRETkkbV06VLKly9PqVKliI+PZ8SIEXTs2LHAk8EiIiIiIiIiDyslhEVE5JH122+/MXbsWH777Te8vLx4+eWXmTx5ckGHJSIiIiIiIvLQUg1hEXngAgMDCQsLM459fHyYNWtWgcWTH2vXrqVChQpYWVlZxP6oiY2NxWQycfHixfueIzk5GZPJxOHDhx9YXP+U4cOHk5yczJUrV/jxxx955513sLe3t+gTFRWFq6vrHeeJiIigVq1a/1ygIiIiIiIiIg8J7RAWkQduzZo1FClSpKDDuCd9+/alZ8+eDB48GCcnp4IORx6gTp060bJly4IOQ0REREREROShoISwiDxw7u7uBR0CANnZ2ZhMJgoVuvM/hsjIyCAtLY2goCBKliz5L0Und3Pt2rUH8hcLdnZ2qiksIvL/+Izc8K9eL3nqi//q9URERETk7lQyQkQeuL+WjAD4448/6NKlCw4ODpQqVYp3333XOHe7EgUXL17EZDIRGxsL/P9SCBs2bKBGjRrY2tryzDPPcPToUWPMzdIA69ato2rVqtjY2JCSksKFCxfo1q0bbm5u2Nvb06JFC06ePGnMe3NHcJMmTSyuuXv3bp599lns7Ozw9vZm8ODBXL582biej48PU6ZM4dVXX8XJyYkyZcrw/vvv3/HebNq0if/85z+4urpStGhRWrVqRVJSkkWfn3/+mS5duuDu7o6DgwN16tRhz549JCcnU6hQIfbv32/Rf9asWZQtW5acnJw7Xvum77//nv/85z/Y2tpStWpVtm3bhslkYu3atbftf7uSC2vXrsVkMlm0ff7559StWxdbW1uKFStGu3btjHO3m9/V1ZWoqCjg//8OrFy5kkaNGmFra0tMTAw5OTlMmDCB0qVLY2NjQ61atdi0aZMxx81xa9asoXHjxtjb21OzZk2++eabO8Y/depUPD09cXJyolevXly5ciXXuhcvXoyvry+2trZUqVKF+fPn53FHRURERERERB4dSgiLyL/i7bffpmbNmhw6dIiRI0cyZMgQtm7des/zvPHGG8yYMYN9+/bh4eFB69atuXbtmnE+MzOTadOmsXjxYo4dO0bx4sXp0aMH+/fvZ926dXzzzTeYzWZatmzJtWvXaNCgAYmJiQCsXr2a1NRUGjRoQFJSEs2bN+ell17iu+++Y+XKlezevZvQ0FCLeGbMmEGdOnU4dOgQAwYMoH///sZ8t3P58mWGDh3K/v372b59O4UKFaJdu3ZGMjcjI4NGjRrxyy+/sG7dOuLj4xk+fDg5OTn4+PjQtGlTlixZYjHnkiVL6NGjx113QsONXdNt27bF3t6ePXv28P777zN69Oh83/+8bNiwgXbt2tGyZUsOHTrE9u3bqVev3j3Pc/N3IyEhgaCgIGbPns2MGTOYPn063333HUFBQfz3v/81Evo3jR49mvDwcA4fPkylSpXo0qUL169fv+01Vq1aRUREBFOmTGH//v14eXnlSvbGxMQwduxYJk+eTEJCAlOmTGHMmDFER0fnGXtWVhbp6ekWHxH5v+zdeVRW5f7//+ctyiA3gyAKKAYqICooijllmtrBVNKsHKKQnDNSU3A4puKQYoJTmlkamNqxydSyKOWIp8icUUuOA0XYibTUIPQjKvD7w6/75y2iOKL5eqy117r3vq59Xe993S1d99ur9xYRERERkbuNSkaIyB3RunVrxo4dC4Cfnx9paWnMmTOHRx999LrGmTRpknHPsmXLqFmzJp988gk9e/YELpQZeOONN2jUqBEAhw4dYt26daSlpdGqVSvgQrLPy8uLNWvW8PTTT1OtWjXgQqkLd3d3AGbMmEF4eLix09nX15f58+fTtm1bFi1ahK2tLQCdO3dm6NChAIwZM4Y5c+awadMm/P39rxj/k08+aXH+zjvv4Obmxv79+2nYsCHvvfcev//+O9u3bzdKb9StW9foP2DAAIYMGcLs2bOxsbFh165d7Nu3j7Vr15Zp/TZs2EBmZiapqanGs7766qvX/T1c7tVXX6V3795MnjzZuHbxO7geI0aMoEePHsZ5fHw8Y8aMoXfv3gDMnDmTTZs2MXfuXItd5tHR0XTpcuF/S548eTINGjTg8OHD1KtXr8Qcc+fOpX///vTv3x+AadOmsXHjRotdwpMmTSIhIcGIxcfHh/3797N48WL69u17xdhnzJhh8fwiIiIiIiIidyPtEBaRO6Jly5YlzjMyMm5qHBcXF/z9/S3Gsba2JigoyDjPyMigYsWKNG/e3Ljm6upa4r7L7dmzh6SkJMxms3GEhoZSVFTETz/9ZPS7dC6TyYS7uzvHjh0rddxDhw7Rp08fateujaOjI97e3gBkZ2cDkJ6eTnBwcKl1mLt3746VlRWffPIJcKEcwiOPPGKMcy0HDhzAy8vLSAYDN7ST93Lp6el06NDhpscJCQkxPufl5fHrr7/SunVriz6tW7cu8d1d+j14eHgAlPo9ZGRkWPz3AJb/XZ06dYrMzEz69+9v8f1PmzatRHmPS40bN47c3FzjOHLkyDWeVkREREREROTO0w5hESl3F0sdFBcXG9cuLQNxPezs7ErUtr0R+fn5DB48mGHDhpVoq1WrlvH58peemUymq9byDQsL44EHHuDtt9/G09OToqIiGjZsyNmzZ434r8ba2pqIiAgSExPp0aMH7733HvPmzbueR7tuFSpUsPhuoOT3c624TSbTNccAsLe3v6EYL/0eLn7/Za2pfLn8/HwA3n777RKJYysrq1Lvs7GxwcbG5obmFBEREREREblTtENYRO6I7777rsR5QEAAAG5ubgDk5OQY7Ze+YK60cU6ePMnBgweNca4kICCA8+fPs3XrVuPa8ePHOXDgAPXr1y/1viZNmrB//37q1q1b4rC2ti79Qa/i4ryvvPIKHTp0ICAggJMnT1r0CQoKIj09nRMnTpQ6zoABA9i4cSNvvPEG58+ftyixcC3+/v4cOXKEo0ePGte2b99+1Xvc3Nz466+/LF6od/n3ExQUREpKylXHuPT7PXToEKdPn77qvI6Ojnh6epKWlmZxPS0t7arf3bUEBARY/PcAlv9dVa9eHU9PT3788ccS372Pj88NzysiIiIiIiJyN9AOYRG5I9LS0njttdfo3r07GzZs4MMPP2T9+vXAhd2lLVq0IC4uDh8fH44dO8Yrr7xyxXGmTJmCq6sr1atXZ/z48VStWpXu3buXOq+vry/dunVj4MCBLF68GAcHB8aOHUuNGjXo1q1bqfeNGTOGFi1aEBUVxYABA7C3t2f//v1s2LCBBQsW3NAaVKlSBVdXV9566y08PDzIzs426ipf1KdPH6ZPn0737t2ZMWMGHh4e7N69G09PT6OsQUBAAC1atGDMmDH069fvmrtzL/Xoo49Sp04d+vbty2uvvcZff/1lrHVpO6ubN29O5cqV+ec//8mwYcPYunUrSUlJFn0mTZpEhw4dqFOnDr179+b8+fN8/vnnjBkzBoD27duzYMECWrZsSWFhIWPGjCmxu/pKYmJimDRpEnXq1KFx48YkJiaSnp7OypUry/zMlxs+fDiRkZGEhITQunVrVq5cyQ8//EDt2rWNPpMnT2bYsGE4OTnRqVMnCgoK2LFjBydPnmTkyJE3PLeISHnLiutS3iGIiIiISDnTDmERuSNGjRrFjh07CA4OZtq0acyePZvQ0FCj/Z133uH8+fM0bdqUESNGMG3atCuOExcXx/Dhw2natCm//fYbn3766TV37CYmJtK0aVO6du1Ky5YtKS4u5vPPP79qQjIoKIjNmzdz8OBB2rRpQ3BwMBMnTsTT0/PGFoALpRdWrVrFzp07adiwIS+//DKzZs2y6GNtbc1XX31FtWrV6Ny5M4GBgcTFxZUoVdC/f3/Onj1Lv379risGKysr1qxZQ35+Ps2aNWPAgAGMHz8ewHhR3uVcXFxYsWIFn3/+OYGBgfzrX/8iNjbWok+7du348MMPWbduHY0bN6Z9+/Zs27bNaE9ISMDLy4s2bdrwzDPPEB0dTeXKla8Z77Bhwxg5ciSjRo0iMDCQ5ORk1q1bh6+v73U996V69erFhAkTGD16NE2bNuXnn3/mhRdesOgzYMAAlixZQmJiIoGBgbRt25akpCTtEBYREREREZF7nqn48qKOIiJ3odTUVB555BFOnjyJs7NzeYdT7qZOncqHH37I3r17b3qstLQ0HnroIQ4fPkydOnVuQXQCF16K5+TkRG5uLo6OjuUdjoiIiIiIiPzNlfV3qEpGiIjcQ/Lz88nKymLBggWl7qK+lk8++QSz2Yyvry+HDx9m+PDhtG7dWslgERERERERkfuASkaIiNxDoqKiaNq0Ke3atbvuchEX/fXXX7z44ovUq1ePyMhImjVrxtq1a29xpCIiIiIiIiJyN1LJCBERuS7t2rWjcePGzJ07F29vb0aMGMGIESPKO6xSrVmzhujoaH766Sdeeukl5s6de0fmVckIERERERERuZNUMkJERG6L1atXX/WFfHebwYMH8/zzzzNs2DAcHBzKOxwRERERERGRcqWEsIiIXBcXF5fyDoHCwkJMJhMVKly98lF+fj7Hjh0jNDQUT0/POxSdiMjdy3vs+vIOoVRZcV3KOwQRERGR+4JqCIuIyHVp166dRYmIv/76iz59+mBvb0+NGjVYuHCh0ZaVlYXJZCI9Pd249ueff2IymUhNTQUgNTUVk8nE+vXrCQoKwtbWlhYtWvD9998b9yQlJeHs7My6deuoX78+NjY2ZGdnc/LkSSIiIqhSpQqVK1fmscce49ChQ8a4F3cEt2/f3mLOb775hjZt2mBnZ4eXlxfDhg3j1KlTxnze3t5Mnz6dfv364eDgQK1atXjrrbdu8UqKiIiIiIiI3HlKCIuIyE2ZNWsWjRo1Yvfu3YwdO5bhw4ezYcOG6x4nJiaGhIQEtm/fjpubG2FhYZw7d85oP336NDNnzmTJkiX88MMPVKtWjcjISHbs2MG6devYsmULxcXFdO7cmXPnztGqVSsOHDgAwMcff0xOTg6tWrUiMzOTTp068eSTT7J3717ef/99vvnmG6KioiziSUhIICQkhN27dzN06FBeeOEFY7wrKSgoIC8vz+IQERERERERudsoISwiIjeldevWjB07Fj8/P1566SWeeuop5syZc93jTJo0iUcffZTAwECWLVvG0aNH+eSTT4z2c+fO8cYbb9CqVSv8/f353//+x7p161iyZAlt2rShUaNGrFy5kv/973+sWbMGa2trqlWrBlwoc+Hu7o61tTUzZswgPDycESNG4OvrS6tWrZg/fz7vvvsuZ86cMebr3LkzQ4cOpW7duowZM4aqVauyadOmUuOfMWMGTk5OxuHl5XXdayAiIiIiIiJyuykhLCIiN6Vly5YlzjMyMm5qHBcXF/z9/S3Gsba2JigoyDjPyMigYsWKNG/e3Ljm6upa4r7L7dmzh6SkJMxms3GEhoZSVFTETz/9ZPS7dC6TyYS7uzvHjh0rddxx48aRm5trHEeOHCn7w4uIiIiIiIjcIXqpnIiI3DYXX/pWXFxsXLu0DMT1sLOzw2Qy3XRM+fn5jEXiDgABAABJREFUDB48mGHDhpVoq1WrlvG5UqVKFm0mk4mioqJSx7WxscHGxuam4xMRERERERG5nZQQFhGRm/Ldd9+VOA8ICADAzc0NgJycHIKDgwEsXjB3+X0XE7InT57k4MGDxjhXEhAQwPnz59m6dSutWrUC4Pjx4xw4cID69euXel+TJk3Yv38/devWLdsDioiIiIiIiPyNKCEsIiI3JS0tjddee43u3buzYcMGPvzwQ9avXw9c2NXbokUL4uLi8PHx4dixY7zyyitXHGfKlCm4urpSvXp1xo8fT9WqVenevXup8/r6+tKtWzcGDhzI4sWLcXBwYOzYsdSoUYNu3bqVet+YMWNo0aIFUVFRDBgwAHt7e/bv38+GDRtYsGDBTa2FiMjdLiuuS3mHICIiIiLlTDWERUTkpowaNYodO3YQHBzMtGnTmD17NqGhoUb7O++8w/nz52natCkjRoxg2rRpVxwnLi6O4cOH07RpU3777Tc+/fRTrK2trzp3YmIiTZs2pWvXrrRs2ZLi4mI+//zzEuUeLhUUFMTmzZs5ePAgbdq0ITg4mIkTJ+Lp6XljCyAiIiIiIiJyDzEVX1rYUURE5A5LTU3lkUce4eTJkzg7O5d3OLdMXl4eTk5O5Obm4ujoWN7hiIiIiIiIyN9cWX+HaoewiIiIiIiIiIiIyH1CCWERkXLUrl07RowYcdePebfIysrCZDKV+mK6K4mNjaVx48a3LSYRERERERGRe4kSwiIiUq7atWtHcXFxiXIRkZGRJV4q5+XlRU5ODg0bNizz+NHR0aSkpNyCSEVERERERETufRXLOwAREbmzzp49e82Xtd2trKyscHd3v657zGYzZrP5NkUkInJ38x673uI8K65LOUUiIiIiIncL7RAWESlnRUVFjB49GhcXF9zd3YmNjQWgX79+dO3a1aLvuXPnqFatGkuXLgXg1KlTREREYDab8fDwICEhocT43t7eTJ06lYiICBwdHRk0aBAAH3/8MQ0aNMDGxgZvb2+Le6dMmYKnpyfHjx83rnXp0oVHHnmEoqKiMsVWVFTEa6+9Rt26dbGxsaFWrVq8+uqrRv99+/bRvn177OzscHV1ZdCgQeTn5wMXyjwsW7aMtWvXYjKZMJlMpKamligZkZqaislkIiUlhZCQECpXrkyrVq04cOCAMc/lJSMu7jyOj4/Hw8MDV1dXXnzxRc6dO2f0KSgoIDo6mho1amBvb0/z5s1JTU296vcoIiIiIiIici9QQlhEpJwtW7YMe3t7tm7dymuvvcaUKVPYsGEDAwYMIDk5mZycHKPvZ599xunTp+nVqxcAMTExbN68mbVr1/LVV1+RmprKrl27SswRHx9Po0aN2L17NxMmTGDnzp307NmT3r17s2/fPmJjY5kwYQJJSUkAjB8/Hm9vbwYMGADAwoUL+fbbb1m2bBkVKlQoU2zjxo0jLi6OCRMmsH//ft577z2qV68OXEhkh4aGUqVKFbZv386HH37Ixo0biYqKAi6UeejZsyedOnUiJyeHnJwcWrVqVeoajh8/noSEBHbs2EHFihXp16/fVdd806ZNZGZmsmnTJpYtW0ZSUpLx7ABRUVFs2bKFVatWsXfvXp5++mk6derEoUOHrjquiIiIiIiIyN1OJSNERMpZUFAQkyZNAsDX15cFCxaQkpJCXFwc/v7+LF++nNGjRwOQmJjI008/jdlsJj8/n6VLl7JixQo6dOgAXEgu16xZs8Qc7du3Z9SoUcZ5eHg4HTp0YMKECQD4+fmxf/9+Zs2aRWRkJFZWVqxYsYLGjRszduxY5s+fz5IlS6hVqxYArVq1umpsf/31F/PmzWPBggX07dsXgDp16vDQQw8B8N5773HmzBneffdd7O3tAViwYAFhYWHMnDmT6tWrY2dnR0FBQZlKRLz66qu0bdsWgLFjx9KlSxfOnDmDra3tFftXqVKFBQsWYGVlRb169ejSpQspKSkMHDiQ7OxsEhMTyc7OxtPTE7iQoE5OTiYxMZHp06dfccyCggIKCgqM87y8vGvGLSIiIiIiInKnaYewiEg5CwoKsjj38PDg2LFjAAwYMIDExEQAjh49yhdffGHsfs3MzOTs2bM0b97cuNfFxQV/f/8Sc4SEhFicZ2Rk0Lp1a4trrVu35tChQxQWFgJQu3Zt4uPjmTlzJo8//jjPPPOMRf+rxZaRkUFBQYGRqL5cRkYGjRo1MpLBF+cvKiqyKPdQVpeuoYeHB4CxhlfSoEEDrKysLO652H/fvn0UFhbi5+dn1B82m81s3ryZzMzMUsecMWMGTk5OxuHl5XXdzyEiIiIiIiJyu2mHsIhIOatUqZLFuclkoqioCICIiAjGjh3Lli1b+Pbbb/Hx8aFNmzbXPcelidfr8Z///AcrKyuysrI4f/48FSv+/39tXC02Ozu7G5rvRl26hiaTCcBYw2v1v3jPxf75+flYWVmxc+dOi6QxcNWX040bN46RI0ca53l5eUoKi4iIiIiIyF1HO4RFRO5irq6udO/encTERJKSknj++eeNtjp16lCpUiW2bt1qXDt58iQHDx685rgBAQGkpaVZXEtLS8PPz89Igr7//vusXr2a1NRUsrOzmTp1aplj8/X1xc7OjpSUlFLn37NnD6dOnbKYv0KFCsYOZ2tra2O38p0UHBxMYWEhx44do27duhbH1cpX2NjY4OjoaHGIiIiIiIiI3G20Q1hE5C43YMAAunbtSmFhoVGPFy7sVu3fvz8xMTG4urpSrVo1xo8fT4UK1/63vlGjRtGsWTOmTp1Kr1692LJlCwsWLOCNN94A4JdffuGFF15g5syZPPTQQyQmJtK1a1cee+wxWrRocc3YbG1tGTNmDKNHj8ba2prWrVvz+++/88MPP9C/f3/Cw8OZNGkSffv2JTY2lt9//52XXnqJ5557znjxnLe3N19++SUHDhzA1dUVJyenW7WkV+Xn50d4eDgREREkJCQQHBzM77//TkpKCkFBQXTp0uWOxCEicitkxenPLBERERGxpISwiMhdrmPHjnh4eNCgQQPjJWcXzZo1i/z8fMLCwnBwcGDUqFHk5uZec8wmTZrwwQcfMHHiRKZOnYqHhwdTpkwhMjKS4uJiIiMjefDBB4mKigIgNDSUF154gWeffZb09HSjdMLVYpswYQIVK1Zk4sSJ/Prrr3h4eDBkyBAAKleuzJdffsnw4cNp1qwZlStX5sknn2T27NnG/QMHDiQ1NZWQkBDy8/PZtGkT3t7eN7OUZZaYmMi0adMYNWoU//vf/6hatSotWrSga9eud2R+ERERERERkdvFVFxcXFzeQYiISOny8/OpUaMGiYmJ9OjRo7zDsXA3x1be8vLycHJyIjc3V+UjRERERERE5LYr6+9Q7RAWEblLFRUV8ccff5CQkICzszOPP/54eYdkuJtjExEREREREZHSKSEsInKXys7OxsfHh5o1a5KUlETFinfPH9l3c2wiIiIiIiIiUjr9ghcRuUnt2rWjcePGzJ0795aPWd5VfUp7Nm9v73KPraySkpIYMWIEf/75Z3mHIiIiIiIiIlLurv0qehERkXtYr169OHjwYHmHISIiIiIiInJX0A5hEZF70NmzZ7G2ti7vMG6b4uJiCgsLb0kpCjs7O+zs7G5BVCIi9z7vsevLOwS5TllxXco7BBEREfmb0Q5hEZFboKioiNGjR+Pi4oK7uzuxsbEA9OvXj65du1r0PXfuHNWqVWPp0qUAnDp1ioiICMxmMx4eHiQkJJQY39vbm6lTpxIREYGjoyODBg0C4OOPP6ZBgwbY2Njg7e1tce+UKVPw9PTk+PHjxrUuXbrwyCOPUFRUVKbYAM6fP09UVBROTk5UrVqVCRMmWJSLMJlMrFmzxmIcZ2dnkpKSAMjKysJkMrFq1SpatWqFra0tDRs2ZPPmzUb/1NRUTCYTX3zxBU2bNsXGxoZvvvmGgoIChg0bRrVq1bC1teWhhx5i+/btJe5bv349QUFB2Nra0qJFC77//nujT1JSEs7OzhbxLVq0iDp16mBtbY2/vz/Lly+3aDeZTCxZsoQnnniCypUr4+vry7p160p8LyIiIiIiIiL3GiWERURugWXLlmFvb8/WrVt57bXXmDJlChs2bGDAgAEkJyeTk5Nj9P3ss884ffo0vXr1AiAmJobNmzezdu1avvrqK1JTU9m1a1eJOeLj42nUqBG7d+9mwoQJ7Ny5k549e9K7d2/27dtHbGwsEyZMMBKx48ePx9vbmwEDBgCwcOFCvv32W5YtW0aFChXKFNvFZ6tYsSLbtm1j3rx5zJ49myVLllz3GsXExDBq1Ch2795Ny5YtCQsLs0hWA4wdO5a4uDgyMjIICgpi9OjRfPzxxyxbtoxdu3ZRt25dQkNDOXHiRImxExIS2L59O25uboSFhXHu3LkrxvHJJ58wfPhwRo0axffff8/gwYN5/vnn2bRpk0W/yZMn07NnT/bu3Uvnzp0JDw8vMa+IiIiIiIjIvUYJYRGRWyAoKIhJkybh6+tLREQEISEhpKSk0KpVqxI7UBMTE3n66acxm83k5+ezdOlS4uPj6dChA4GBgSxbtozz58+XmKN9+/aMGjWKOnXqUKdOHWbPnk2HDh2YMGECfn5+REZGEhUVxaxZswCwsrJixYoVpKSkMHbsWGJiYli4cCG1atUCuGZsF3l5eTFnzhz8/f0JDw/npZdeYs6cOde9RlFRUTz55JMEBASwaNEinJycLHYiw4VdzY8++ih16tTBxsaGRYsWMWvWLB577DHq16/P22+/jZ2dXYn7Jk2axKOPPmqs39GjR/nkk0+uGEd8fDyRkZEMHToUPz8/Ro4cSY8ePYiPj7foFxkZSZ8+fahbty7Tp08nPz+fbdu2lfp8BQUF5OXlWRwiIiIiIiIidxslhEVEboGgoCCLcw8PD44dOwbAgAEDSExMBODo0aN88cUX9OvXD4DMzEzOnj1L8+bNjXtdXFzw9/cvMUdISIjFeUZGBq1bt7a41rp1aw4dOkRhYSEAtWvXJj4+npkzZ/L444/zzDPPWPS/WmwXtWjRApPJZJy3bNnSYo6yatmypfG5YsWKhISEkJGRUeozZmZmcu7cOYtnrFSpEg8++GCJ+y4d++L6Xd7notLW7fL+l36n9vb2ODo6Gt/plcyYMQMnJyfj8PLyKrWviIiIiIiISHlRQlhE5BaoVKmSxbnJZKKoqAiAiIgIfvzxR7Zs2cKKFSvw8fGhTZs21z2Hvb39DcX2n//8BysrK7KyskrsPL4VsZlMJouawkCp5Rqu5Uaf8Xa42nd6JePGjSM3N9c4jhw5crtDFBEREREREbluSgiLiNxmrq6udO/encTERJKSknj++eeNtjp16lCpUiW2bt1qXDt58iQHDx685rgBAQGkpaVZXEtLS8PPzw8rKysA3n//fVavXk1qairZ2dlMnTq1zLFddGlsAN999x2+vr7GHG5ubhZ1iA8dOsTp06dLjPPdd98Zn8+fP8/OnTsJCAgo9fkuvvTt0mc8d+4c27dvp379+qWOfXH9Shu7tHW7fMzrZWNjg6Ojo8UhIiIiIiIicrepWN4BiIjcDwYMGEDXrl0pLCykb9++xnWz2Uz//v2JiYnB1dWVatWqMX78eCpUuPa/140aNYpmzZoxdepUevXqxZYtW1iwYAFvvPEGAL/88gsvvPACM2fO5KGHHiIxMZGuXbvy2GOP0aJFi2vGdlF2djYjR45k8ODB7Nq1i9dff52EhASjvX379ixYsICWLVtSWFjImDFjSuyuhQsvtfP19SUgIIA5c+Zw8uTJEuUpLmVvb88LL7xATEwMLi4u1KpVi9dee43Tp0/Tv39/i75TpkzB1dWV6tWrM378eKpWrUr37t2vOG5MTAw9e/YkODiYjh078umnn7J69Wo2btx41fUWEfk7yIrrUt4hiIiIiEg5U0JYROQO6NixIx4eHjRo0ABPT0+LtlmzZpGfn09YWBgODg6MGjWK3Nzca47ZpEkTPvjgAyZOnMjUqVPx8PBgypQpREZGUlxcTGRkJA8++CBRUVEAhIaG8sILL/Dss8+Snp5uvDjuarHBhbIS//d//8eDDz6IlZUVw4cPZ9CgQUZ7QkICzz//PG3atMHT05N58+axc+fOEuPExcURFxdHeno6devWZd26dVStWvWqzxgXF0dRURHPPfccf/31FyEhIXz55ZdUqVKlRL/hw4dz6NAhGjduzKeffoq1tfUVx+zevTvz5s0jPj6e4cOH4+PjQ2JiIu3atbtqLCIiIiIiIiJ/B6biyws/iojILZefn0+NGjVITEykR48e5R2OhdsdW1ZWFj4+PuzevZvGjRvf0rFTU1N55JFHOHnyJM7Ozrd07JuVl5eHk5MTubm5Kh8hIiIiIiIit11Zf4dqh7CIyG1UVFTEH3/8QUJCAs7Ozjz++OPlHZLhbo5NRERERERERG4PJYRFRG6j7OxsfHx8qFmzJklJSVSsePf8sXs3xyYiIiIiIiIit4d+/YvIfaNdu3Y0btyYuXPn3rFxvb29uZOVea6nhMKdiu12zRMZGcmff/5pjF1cXMzgwYP56KOPOHny5G0pUSEiIiIiIiJyr7v2a+xFROSe0apVK3JycnBycirvUO645ORkkpKS+Oyzz8jJyaFhw4bXvCcrKwuTyUR6evrtD1BERERERETkLqAdwiIit9nZs2extra+I3NZW1vj7u5+R+a622RmZuLh4UGrVq3KOxQRkbuW99j15R3CPSMrrkt5hyAiIiJyW2iHsIjcV4qKihg9ejQuLi64u7sTGxtrtPXr14+uXbta9D937hzVqlVj6dKlAJw6dYqIiAjMZjMeHh4kJCSUmMPb25upU6cSERGBo6MjgwYNAuDjjz+mQYMG2NjY4O3tXeLeY8eOERYWhp2dHT4+PqxcuRJvb2+jFMWVdrP++eefmEwmUlNTgQslI0wmE3/++ScASUlJODs78+WXXxIQEIDZbKZTp07k5ORYrMmUKVOoWbMmNjY2NG7cmOTkZKP94ryrV6/mkUceoXLlyjRq1IgtW7ZYxP/NN9/Qpk0b7Ozs8PLyYtiwYZw6darU72LPnj088sgjODg44OjoSNOmTdmxYwcAsbGxJco9zJ07F29v7yuOFRkZyUsvvUR2djYmk8nol5yczEMPPYSzszOurq507dqVzMxM4z4fHx8AgoODMZlMtGvXzmhbsmQJAQEB2NraUq9ePd54441Sn0VERERERETkXqGEsIjcV5YtW4a9vT1bt27ltddeY8qUKWzYsAGAAQMGkJycbJEs/eyzzzh9+jS9evUCICYmhs2bN7N27Vq++uorUlNT2bVrV4l54uPjadSoEbt372bChAns3LmTnj170rt3b/bt20dsbCwTJkwgKSnJuCcyMpIjR46wadMmPvroI9544w2OHTt20898+vRp4uPjWb58Of/5z3/Izs4mOjraaJ83bx4JCQnEx8ezd+9eQkNDefzxxzl06JDFOOPHjyc6Opr09HT8/Pzo06cP58+fBy7szu3UqRNPPvkke/fu5f333+ebb74hKiqq1LjCw8OpWbMm27dvZ+fOnYwdO5ZKlSrd0DPOmzfPSGrn5OSwfft24EICf+TIkezYsYOUlBQqVKjAE088QVFREQDbtm0DYOPGjeTk5LB69WoAVq5cycSJE3n11VfJyMhg+vTpTJgwgWXLlt1QfCIiIiIiIiJ3C5WMEJH7SlBQEJMmTQLA19eXBQsWkJKSwqOPPkqrVq3w9/dn+fLljB49GoDExESefvppzGYz+fn5LF26lBUrVtChQwfgQoK5Zs2aJeZp3749o0aNMs7Dw8Pp0KEDEyZMAMDPz4/9+/cza9YsIiMjOXjwIF988QXbtm2jWbNmACxdupSAgICbfuZz587x5ptvUqdOHQCioqKYMmWK0R4fH8+YMWPo3bs3ADNnzmTTpk3MnTuXhQsXGv2io6Pp0uXC/z47efJkGjRowOHDh6lXrx4zZswgPDycESNGGGs7f/582rZty6JFi7C1tS0RV3Z2NjExMdSrV8+450Y5OTnh4OCAlZWVRcmMJ5980qLfO++8g5ubG/v376dhw4a4ubkB4OrqanHfpEmTSEhIoEePHsCFncT79+9n8eLF9O3b94oxFBQUUFBQYJzn5eXd8POIiIiIiIiI3C7aISwi95WgoCCLcw8PD4tduAMGDCAxMRGAo0eP8sUXX9CvXz/gwi7Ys2fP0rx5c6O/i4sL/v7+JeYJCQmxOM/IyKB169YW11q3bs2hQ4coLCwkIyODihUr0rRpU6O9Xr16ODs739iDXqJy5cpGMhgsnzkvL49ff/31irFlZGRYXLt07Tw8PACMcfbs2UNSUhJms9k4QkNDKSoq4qeffrpiXCNHjmTAgAF07NiRuLg4i1IOt8qhQ4fo06cPtWvXxtHR0SglkZ2dXeo9p06dIjMzk/79+1s8z7Rp064a44wZM3BycjIOLy+vW/04IiIiIiIiIjdNCWERua9cXpLAZDIZ5QMAIiIi+PHHH9myZQsrVqzAx8eHNm3aXPc89vb2Nx3r5SpUuPBHdnFxsXHt3Llz17zvSs986Rhldek4JpMJwFi7/Px8Bg8eTHp6unHs2bOHQ4cOWSSjLxUbG8sPP/xAly5d+Pe//039+vX55JNPgAvPenmMZXnWy4WFhXHixAnefvtttm7dytatW4ELL/orTX5+PgBvv/22xfN8//33fPfdd6XeN27cOHJzc43jyJEj1x2viIiIiIiIyO2mkhEiIpdwdXWle/fuJCYmsmXLFp5//nmjrU6dOlSqVImtW7dSq1YtAE6ePMnBgwdp27btVccNCAggLS3N4lpaWhp+fn5YWVlRr149zp8/z86dO42SEQcOHDBeDgcY5Q1ycnIIDg4GsHjB3I1wdHTE09OTtLQ0i2dIS0vjwQcfLPM4TZo0Yf/+/dStW/e65vfz88PPz4+XX36ZPn36kJiYyBNPPIGbmxu//fYbxcXFRvL5ep/1+PHjHDhwgLfffttI6n/zzTcWfaytrQEoLCw0rlWvXh1PT09+/PFHwsPDyzyfjY0NNjY21xWjiIiIiIiIyJ2mhLCIyGUGDBhA165dKSwstKgXazab6d+/PzExMbi6ulKtWjXGjx9v7Ny9mlGjRtGsWTOmTp1Kr1692LJlCwsWLOCNN94AwN/fn06dOjF48GAWLVpExYoVGTFiBHZ2dsYYdnZ2tGjRgri4OHx8fDh27BivvPLKTT9vTEwMkyZNok6dOjRu3JjExETS09NZuXJlmccYM2YMLVq0ICoqigEDBmBvb8/+/fvZsGEDCxYsKNH///7v/4iJieGpp57Cx8eHX375he3btxs1f9u1a8fvv//Oa6+9xlNPPUVycjJffPEFjo6OZY6pSpUquLq68tZbb+Hh4UF2djZjx4616FOtWjXs7OxITk6mZs2a2Nra4uTkxOTJkxk2bBhOTk506tSJgoICduzYwcmTJxk5cmSZYxARudtkxXUp7xBEREREpJypZISIyGU6duyIh4cHoaGheHp6WrTNmjWLNm3aEBYWRseOHXnooYcs6v6WpkmTJnzwwQesWrWKhg0bMnHiRKZMmUJkZKTRJzExEU9PT9q2bUuPHj0YNGgQ1apVsxjnnXfe4fz58zRt2pQRI0Ywbdq0m37eYcOGMXLkSEaNGkVgYCDJycmsW7fuul7yFhQUxObNmzl48CBt2rQhODiYiRMnlli/i6ysrDh+/DgRERH4+fnRs2dPHnvsMSZPngxc2FH9xhtvsHDhQho1asS2bduIjo6+rueqUKECq1atYufOnTRs2JCXX36ZWbNmWfSpWLEi8+fPZ/HixXh6etKtWzfgwj8KLFmyhMTERAIDA2nbti1JSUn4+PhcVwwiIiIiIiIidxtT8Y0UkhQR+RvLz8+nRo0aJCYm0qNHj3KNxdvbmxEjRjBixIhyjUOuX15eHk5OTuTm5l7XzmYRERERERGRG1HW36EqGSEi8v8UFRXxxx9/kJCQgLOzM48//nh5hyQiIiIiIiIickspISwi8v9kZ2fj4+NDzZo1SUpKomJF/REpIiIiIiIiIn8vqiEsIvL/eHt7U1xcTJ06dfj0009v6djt2rW7obIPWVlZZb4vNTUVk8nEn3/+WWqf2NhYGjdufN1x3CqRkZF07979qn28vb2ZO3fuLZvTZDKxZs2aUtuzsrIwmUykp6ffsjlFRERERERE7lba/iYiIrdcVlYWPj4+7N69+7oT0Nu3b8fe3v6WxZKTk0OVKlVu2XgiIiIiIiIi9zIlhEVE7gJnz57F2tq6vMMok3PnzlGpUqXbNr6bm9stHc/d3f2Wjici5ct77PryDuGelhXXpbxDEBEREZFyppIRIiJXUFRUxOjRo3FxccHd3Z3Y2FgA+vXrR9euXS36njt3jmrVqrF06VIATp06RUREBGazGQ8PDxISEkqM7+3tzdSpU4mIiMDR0ZFBgwYB8PHHH9OgQQNsbGzw9vYucW9BQQFjxozBy8sLGxsb6tata8x70c6dOwkJCaFy5cq0atWKAwcOXPU5p0yZQs2aNbGxsaFx48YkJycb7RfLKbz//vu0bdsWW1tbVq5cec37fHx8AAgODsZkMtGuXTuLeePj4/Hw8MDV1ZUXX3yRc+fOWazNpSUjZs+eTWBgIPb29nh5eTF06FDy8/ON9nbt2mEymUocWVlZQMmSEdu2bSM4OBhbW1tCQkLYvXt3iXX5/vvveeyxxzCbzVSvXp3nnnuOP/74o9R1FBEREREREblXKCEsInIFy5Ytw97enq1bt/Laa68xZcoUNmzYwIABA0hOTiYnJ8fo+9lnn3H69Gl69eoFQExMDJs3b2bt2rV89dVXpKamsmvXrhJzxMfH06hRI3bv3s2ECRPYuXMnPXv2pHfv3uzbt4/Y2FgmTJhAUlKScU9ERAT/+te/mD9/PhkZGSxevBiz2Wwx7vjx40lISGDHjh1UrFiRfv36lfqc8+bNIyEhgfj4ePbu3UtoaCiPP/44hw4dsug3duxYhg8fTkZGBqGhode8b9u2bQBs3LiRnJwcVq9ebYy1adMmMjMz2bRpE8uWLSMpKcniGS9XoUIF5s+fzw8//MCyZcv497//zejRo4321atXk5OTYxw9evTA39+f6tWrlxgrPz+frl27Ur9+fXbu3ElsbCzR0dEWff7880/at29PcHAwO3bsIDk5maNHj9KzZ89SYxQRERERERG5V6hkhIjIFQQFBTFp0iQAfH19WbBgASkpKcTFxeHv78/y5cuNpGRiYiJPP/00ZrOZ/Px8li5dyooVK+jQoQNwIblcs2bNEnO0b9+eUaNGGefh4eF06NCBCRMmAODn58f+/fuZNWsWkZGRHDx4kA8++IANGzbQsWNHAGrXrl1i3FdffZW2bdsCFxK5Xbp04cyZM9ja2pboGx8fz5gxY+jduzcAM2fOZNOmTcydO5eFCxca/UaMGEGPHj3KfN/Fsg+urq4lSjZUqVKFBQsWYGVlRb169ejSpQspKSkMHDjwit/FpS/V8/b2Ztq0aQwZMoQ33ngDABcXF6N9zpw5/Pvf/2br1q3Y2dmVGOu9996jqKiIpUuXYmtrS4MGDfjll1944YUXjD4LFiwgODiY6dOnG9feeecdvLy8OHjwIH5+fleMs6CggIKCAuM8Ly/viv1EREREREREypN2CIuIXEFQUJDFuYeHB8eOHQNgwIABJCYmAnD06FG++OILYxduZmYmZ8+epXnz5sa9Li4u+Pv7l5gjJCTE4jwjI4PWrVtbXGvdujWHDh2isLCQ9PR0rKysjGRvWWL38PAAMGK/VF5eHr/++usV58zIyCg11uu570oaNGiAlZWVRYxXiu+ijRs30qFDB2rUqIGDgwPPPfccx48f5/Tp0xb9vvjiC8aOHcv7779fatI2IyODoKAgi+R4y5YtLfrs2bOHTZs2YTabjaNevXrAhe+3NDNmzMDJyck4vLy8Sl8EERERERERkXKihLCIyBVc/tI0k8lEUVERcKFsw48//siWLVtYsWIFPj4+tGnT5rrnsLe3v67+V9rxeiWXxm4ymQCM2G/U9cZ6NVdb28tlZWXRtWtXgoKC+Pjjj9m5c6exc/ns2bNGv/3799O7d2/i4uL4xz/+cVPx5efnExYWRnp6usVx6NAhHn744VLvGzduHLm5ucZx5MiRm4pDRERERERE5HZQQlhE5Dq5urrSvXt3EhMTSUpK4vnnnzfa6tSpQ6VKldi6datx7eTJkxw8ePCa4wYEBJCWlmZxLS0tDT8/P6ysrAgMDKSoqIjNmzffkudwdHTE09PzinPWr1//pu6ztrYGoLCw8KZi3LlzJ0VFRSQkJNCiRQv8/Pz49ddfLfr88ccfhIWF8eSTT/Lyyy9fdbyAgAD27t3LmTNnjGvfffedRZ8mTZrwww8/4O3tTd26dS2OqyXGbWxscHR0tDhERERERERE7jaqISwicgMGDBhA165dKSwspG/fvsZ1s9lM//79iYmJwdXVlWrVqjF+/HgqVLj2v7+NGjWKZs2aMXXqVHr16sWWLVtYsGCBUSvX29ubvn370q9fP+bPn0+jRo34+eefOXbs2A2/8CwmJoZJkyZRp04dGjduTGJiIunp6axcufKm7qtWrRp2dnYkJydTs2ZNbG1tcXJyuu746taty7lz53j99dcJCwsjLS2NN99806LPk08+SeXKlYmNjeW3334zrru5uVmUpgB45plnGD9+PAMHDmTcuHFkZWURHx9v0efFF1/k7bffpk+fPowePRoXFxcOHz7MqlWrWLJkSYkxReTOyorrUt4hiIiIiIjc07RDWETkBnTs2BEPDw9CQ0Px9PS0aJs1axZt2rQhLCyMjh078tBDD9G0adNrjtmkSRM++OADVq1aRcOGDZk4cSJTpkwhMjLS6LNo0SKeeuophg4dSr169Rg4cCCnTp264ecYNmwYI0eOZNSoUQQGBpKcnMy6devw9fW9qfsqVqzI/PnzWbx4MZ6ennTr1u2G4mvUqBGzZ89m5syZNGzYkJUrVzJjxgyLPv/5z3/4/vvveeCBB/Dw8DCOK5VsMJvNfPrpp+zbt4/g4GDGjx/PzJkzLfpc3P1cWFjIP/7xDwIDAxkxYgTOzs5lSuyLiIiIiIiI3M1MxcXFxeUdhIjIvSY/P58aNWqQmJhIjx49yjscuQvl5eXh5OREbm6uykeIiIiIiIjIbVfW36EqGSEich2Kior4448/SEhIwNnZmccff7y8QxIRERERERERKTMlhEVErkN2djY+Pj7UrFmTpKQkKlbUH6MiIiIiIiIicu9QMUQRkevg7e1NcXExR44coUOHDrRr144RI0aUd1j3tKysLEwmE+np6eUWg8lkYs2aNaW23w0xioiIiIiIiNwKSgiLiMgtl5SUhLOzc5n6enl5kZOTQ8OGDW9vUFeRk5PDY489Vm7zi4iIiIiIiNwp+n+dRUSkzM6ePYu1tfUtH8/d3f2WjXkjynt+EZE7xXvs+vIOodxlxXUp7xBEREREypV2CIuI3KSioiJGjx6Ni4sL7u7uxMbGWrRnZ2fTrVs3zGYzjo6O9OzZk6NHjxrtsbGxNG7cmHfeeYdatWphNpsZOnQohYWFvPbaa7i7u1OtWjVeffXVMo978OBBTCYT//3vfy3umTNnDnXq1DHOv//+ex577DHMZjPVq1fnueee448//jDa27VrR1RUFCNGjKBq1aqEhoYCMHv2bAIDA7G3t8fLy4uhQ4eSn58PQGpqKs8//zy5ubmYTCZMJpOxJt7e3kydOpWIiAgcHR0ZNGjQFcsx/PDDD3Tt2hVHR0ccHBxo06YNmZmZV1z/wsJC+vfvj4+PD3Z2dvj7+zNv3rwS/d555x0aNGiAjY0NHh4eREVFGW2Xl4zYtm0bwcHB2NraEhISwu7du684t4iIiIiIiMi9RglhEZGbtGzZMuzt7dm6dSuvvfYaU6ZMYcOGDcCFZHG3bt04ceIEmzdvZsOGDfz444/06tXLYozMzEy++OILkpOT+de//sXSpUvp0qULv/zyC5s3b2bmzJm88sorbN26tUzj+vn5ERISwsqVKy3mWblyJc888wwAf/75J+3btyc4OJgdO3aQnJzM0aNH6dmzZ4nns7a2Ji0tjTfffBOAChUqMH/+fH744QeWLVvGv//9b0aPHg1Aq1atmDt3Lo6OjuTk5JCTk0N0dLQxXnx8PI0aNWL37t1MmDChxHr+73//4+GHH8bGxoZ///vf7Ny5k379+nH+/Pkrrn9RURE1a9bkww8/ZP/+/UycOJF//vOffPDBB0afRYsW8eKLLzJo0CD27dvHunXrqFu37hXHy8/Pp2vXrtSvX5+dO3cSGxtrEX9pCgoKyMvLszhERERERERE7jYqGSEicpOCgoKYNGkSAL6+vixYsICUlBQeffRRUlJS2LdvHz/99BNeXl4AvPvuuzRo0IDt27fTrFkz4EJS85133sHBwYH69evzyCOPcODAAT7//HMqVKiAv78/M2fOZNOmTTRv3rxM44aHh7NgwQKmTp0KXNg1vHPnTlasWAHAggULCA4OZvr06cazvPPOO3h5eXHw4EH8/PyMZ3rttdcsnvnSF+l5e3szbdo0hgwZwhtvvIG1tTVOTk6YTKYrlmJo3749o0aNMs6zsrIs2hcuXIiTkxOrVq2iUqVKAEYsV1KpUiUmT55snPv4+LBlyxY++OADI7k9bdo0Ro0axfDhw41+F9f+cu+99x5FRUUsXboUW1tbGjRowC+//MILL7xQagwAM2bMsIhDRERERERE5G6kHcIiIjcpKCjI4tzDw4Njx44BkJGRgZeXl5G0Bahfvz7Ozs5kZGQY17y9vXFwcDDOq1evTv369alQoYLFtesZt3fv3mRlZfHdd98BF3YHN2nShHr16gGwZ88eNm3ahNlsNo6LbZeWZ2jatGmJZ964cSMdOnSgRo0aODg48Nxzz3H8+HFOnz59zfUKCQm5ant6ejpt2rQxksFlsXDhQpo2bYqbmxtms5m33nqL7OxsAI4dO8avv/5Khw4dyjRWRkYGQUFB2NraGtdatmx5zfvGjRtHbm6ucRw5cqTM8YuIiIiIiIjcKUoIi4jcpMsTlyaTiaKiopse42bHdXd3p3379rz33nvAhZ2v4eHhRnt+fj5hYWGkp6dbHIcOHeLhhx82+tnb21uMm5WVRdeuXQkKCuLjjz9m586dLFy4ELjwkrhruXy8y9nZ2ZX5GQFWrVpFdHQ0/fv356uvviI9PZ3nn3/eiOV6x7tRNjY2ODo6WhwiIiIiIiIidxslhEVEbqOAgACOHDlisVt0//79/Pnnn9SvX/+2jxseHs7777/Pli1b+PHHH+ndu7fR1qRJE3744Qe8vb2pW7euxXG1pO3OnTspKioiISGBFi1a4Ofnx6+//mrRx9ramsLCwht6tqCgIL7++mvOnTtXpv5paWm0atWKoUOHEhwcTN26dS12ODs4OODt7U1KSkqZxgsICGDv3r2cOXPGuHZxl7WIiIiIiIjIvU41hEVEbqOOHTsSGBhIeHg4c+fO5fz58wwdOpS2bdtes3TCrRi3R48evPDCC7zwwgs88sgjeHp6Gm0vvvgib7/9Nn369GH06NG4uLhw+PBhVq1axZIlS7Cysrri3HXr1uXcuXO8/vrrhIWFWbxs7iJvb2/y8/NJSUmhUaNGVK5cmcqVK5fp2aKionj99dfp3bs348aNw8nJie+++44HH3wQf3//Ev19fX159913+fLLL/Hx8WH58uVs374dHx8fo09sbCxDhgyhWrVqPPbYY/z111+kpaXx0ksvlRjvmWeeYfz48QwcOJBx48aRlZVFfHx8mWIXEbnbZcV1Ke8QRERERKScaYewiMhtZDKZWLt2LVWqVOHhhx+mY8eO1K5dm/fff/+OjOvg4EBYWBh79uyxKBcB4OnpSVpaGoWFhfzjH/8gMDCQESNG4OzsbFG7+HKNGjVi9uzZzJw5k4YNG7Jy5UpmzJhh0adVq1YMGTKEXr164ebmVuKldFfj6urKv//9b/Lz82nbti1Nmzbl7bffLrWm8ODBg+nRowe9evWiefPmHD9+nKFDh1r06du3L3PnzuWNN96gQYMGdO3alUOHDl1xPLPZzKeffsq+ffsIDg5m/PjxzJw5s8zxi4iIiIiIiNzNTMXFxcXlHYSIiMjfTV5eHk5OTuTm5qqesIiIiIiIiNx2Zf0dqh3CIiIiIiIiIiIiIvcJJYRFRERERERERERE7hNKCIuIyG0TGxtL48aNS1yrXr06JpOJNWvWlEtcl2vXrh0jRowo7zBEREREREREbjvVEBYRkdsmPz+fgoICXF1dAcjIyKB+/fp88skntGjRgipVqmBjY1POUcKJEyeoVKkSDg4Ot2xM1RAWERERERGRO6msv0Mr3sGYRETkPmM2mzGbzcZ5ZmYmAN26dcNkMpVXWCW4uLiUdwgiIiIiIiIid4RKRoiI3Kf++usvwsPDsbe3x8PDgzlz5liUTrhSSQdnZ2eSkpKM8zFjxuDn50flypWpXbs2EyZM4Ny5c0b7pSUjYmNjCQsLA6BChQoWCeElS5YQEBCAra0t9erV44033jDasrKyMJlMrF69mkceeYTKlSvTqFEjtmzZYhHbN998Q5s2bbCzs8PLy4thw4Zx6tQpo/2NN97A19cXW1tbqlevzlNPPWW0XV4ywtvbm+nTp9OvXz8cHByoVasWb7311nWtr4iIiIiIiMjdSAlhEZH71MiRI0lLS2PdunVs2LCBr7/+ml27dl3XGA4ODiQlJbF//37mzZvH22+/zZw5c67YNzo6msTERABycnLIyckBYOXKlUycOJFXX32VjIwMpk+fzoQJE1i2bJnF/ePHjyc6Opr09HT8/Pzo06cP58+fBy7sPO7UqRNPPvkke/fu5f333+ebb74hKioKgB07djBs2DCmTJnCgQMHSE5O5uGHH77qsyUkJBASEsLu3bsZOnQoL7zwAgcOHCi1f0FBAXl5eRaHiIiIiIiIyN1GJSNERO5Df/31F8uWLeO9996jQ4cOACQmJuLp6Xld47zyyivGZ29vb6Kjo1m1ahWjR48u0ddsNuPs7AyAu7u7cX3SpEkkJCTQo0cPAHx8fNi/fz+LFy+mb9++Rr/o6Gi6dOkCwOTJk2nQoAGHDx+mXr16zJgxg/DwcGOXr6+vL/Pnz6dt27YsWrSI7Oxs7O3t6dq1Kw4ODjzwwAMEBwdf9dk6d+7M0KFDgQs7oefMmcOmTZvw9/e/Yv8ZM2YwefLka6yYiIiIiIiISPlSQlhE5D70448/cu7cOR588EHjmpOTU6nJztK8//77zJ8/n8zMTPLz8zl//vx1vUDt1KlTZGZm0r9/fwYOHGhcP3/+PE5OThZ9g4KCjM8eHh4AHDt2jHr16rFnzx727t3LypUrjT7FxcUUFRXx008/8eijj/LAAw9Qu3ZtOnXqRKdOnXjiiSeoXLlyqbFdOp/JZMLd3Z1jx46V2n/cuHGMHDnSOM/Ly8PLy6sMqyAiIiIiIiJy5yghLCIiV2QymSguLra4dml94C1bthAeHs7kyZMJDQ3FycmJVatWkZCQUOY58vPzAXj77bdp3ry5RZuVlZXFeaVKlSxiAygqKjLGGTx4MMOGDSsxR61atbC2tmbXrl2kpqby1VdfMXHiRGJjY9m+fbuxa/lyl853cc6L812JjY0NNjY2pbaLiIiIiIiI3A2UEBYRuQ/Vrl2bSpUqsX37dmrVqgVAbm4uBw8eNGrrurm5GXV+AQ4dOsTp06eN82+//ZYHHniA8ePHG9d+/vnn64qjevXqeHp68uOPPxIeHn7Dz9OkSRP2799P3bp1S+1TsWJFOnbsSMeOHZk0aRLOzs78+9//NkpViIiIiIiIiNwPlBAWEbkPOTg40LdvX2JiYnBxcaFatWpMmjSJChUqGLtv27dvz4IFC2jZsiWFhYWMGTPGYtesr68v2dnZrFq1imbNmrF+/Xo++eST645l8uTJDBs2DCcnJzp16kRBQQE7duzg5MmTFiUYrmbMmDG0aNGCqKgoBgwYgL29Pfv372fDhg0sWLCAzz77jB9//JGHH36YKlWq8Pnnn1NUVHTdJTJERERERERE7nUVyjsAEREpH7Nnz6Zly5Z07dqVjh070rp1awICArC1tQUgISEBLy8v2rRpwzPPPEN0dLRFzd3HH3+cl19+maioKBo3bsy3337LhAkTrjuOAQMGsGTJEhITEwkMDKRt27YkJSXh4+NT5jGCgoLYvHkzBw8epE2bNgQHBzNx4kTjJXnOzs6sXr2a9u3bExAQwJtvvsm//vUvGjRocN3xioiIiIiIiNzLTMWXF4gUEZH70qlTp6hRowYJCQn079+/vMO55+Xl5eHk5ERubu51vWhPRERERERE5EaU9XeoSkaIiNyndu/ezX//+18efPBBcnNzmTJlCgDdunUr58hERERERERE5HZRQlhE5D4WHx/PgQMHsLa2pmnTpnz99ddUrVq1vMMSERERERERkdtENYRFRO5TwcHB7Ny5k/z8fE6cOMGGDRsIDAy8rjFSU1MxmUz8+eeftyfIOyArKwuTyUR6enp5hyIiIiIiIiJy22mHsIiI3DciIyP5888/WbNmjXHNy8uLnJwc7YwWERERERGR+4ISwiIicl+zsrLC3d29vMMQEbkjvMeuL+8Q/lay4rqUdwgiIiIi100lI0RE7mN//fUX4eHh2Nvb4+HhwZw5c2jXrh0jRowAYPny5YSEhODg4IC7uzvPPPMMx44dKzFOWloaQUFB2Nra0qJFC77//nuj7fjx4/Tp04caNWpQuXJlAgMD+de//mVxf7t27YiKiiIqKgonJyeqVq3KhAkTKC4uNvoUFBQQHR1NjRo1sLe3p3nz5qSmphrtSUlJODs78+WXXxIQEIDZbKZTp07k5OQAEBsby7Jly1i7di0mkwmTyURqamqJkhEXy2CkpKQQEhJC5cqVadWqFQcOHLhFqy4iIiIiIiJSfpQQFhG5j40cOZK0tDTWrVvHhg0b+Prrr9m1a5fRfu7cOaZOncqePXtYs2YNWVlZREZGlhgnJiaGhIQEtm/fjpubG2FhYZw7dw6AM2fO0LRpU9avX8/333/PoEGDeO6559i2bZvFGMuWLaNixYps27aNefPmMXv2bJYsWWK0R0VFsWXLFlatWsXevXt5+umn6dSpE4cOHTL6nD59mvj4eJYvX85//vMfsrOziY6OBiA6OpqePXsaSeKcnBxatWpV6tqMHz+ehIQEduzYQcWKFenXr99V17KgoIC8vDyLQ0RERERERORuo5IRIiL3qb/++otly5bx3nvv0aFDBwASExPx9PQ0+lyaBK1duzbz58+nWbNm5OfnYzabjbZJkybx6KOPAhcSuzVr1uSTTz6hZ8+e1KhRw0jKArz00kt8+eWXfPDBBzz44IPGdS8vL+bMmYPJZMLf3599+/YxZ84cBg4cSHZ2NomJiWRnZxvxRUdHk5ycTGJiItOnTwcuJLDffPNN6tSpA1xIIk+ZMgUAs9mMnZ0dBQUFZSoR8eqrr9K2bVsAxo4dS5cuXThz5gy2trZX7D9jxgwmT558zXFFREREREREypN2CIuI3Kd+/PFHzp07Z5GUdXJywt/f3zjfuXMnYWFh1KpVCwcHByNBmp2dbTFWy5Ytjc8uLi74+/uTkZEBQGFhIVOnTiUwMBAXFxfMZjNffvlliTFatGiByWSyGPPQoUMUFhayb98+CgsL8fPzw2w2G8fmzZvJzMw07qlcubKRDAbw8PC4YomLsggKCrIYB7jqWOPGjSM3N9c4jhw5ckPzioiIiIiIiNxO2iEsIiJXdOrUKUJDQwkNDWXlypW4ubmRnZ1NaGgoZ8+eLfM4s2bNYt68ecydO5fAwEDs7e0ZMWLEdY2Rn5+PlZUVO3fuxMrKyqLt0p3KlSpVsmgzmUwWdYivx6VjXUxUFxUVldrfxsYGGxubG5pLRERERERE5E5RQlhE5D5Vu3ZtKlWqxPbt26lVqxYAubm5HDx4kIcffpj//ve/HD9+nLi4OLy8vADYsWPHFcf67rvvjDFOnjzJwYMHCQgIAC68cK5bt248++yzwIWk6sGDB6lfv77FGFu3bi0xpq+vL1ZWVgQHB1NYWMixY8do06bNDT+ztbU1hYWFN3y/iIiIiIiIyL1OCWERkfuUg4MDffv2JSYmBhcXF6pVq8akSZOoUKECJpOJWrVqYW1tzeuvv86QIUP4/vvvmTp16hXHmjJlCq6urlSvXp3x48dTtWpVunfvDoCvry8fffQR3377LVWqVGH27NkcPXq0REI4OzubkSNHMnjwYHbt2sXrr79OQkICAH5+foSHhxMREUFCQgLBwcH8/vvvpKSkEBQURJcuXcr0zN7e3nz55ZccOHAAV1dXnJycbnwBRUTuQVlxZfvzUkRERET+vlRDWETkPjZ79mxatmxJ165d6dixI61btyYgIABbW1vc3NxISkriww8/pH79+sTFxREfH3/FceLi4hg+fDhNmzblt99+49NPP8Xa2hqAV155hSZNmhAaGkq7du1wd3c3ksWXioiI4P/+7/948MEHefHFFxk+fDiDBg0y2hMTE4mIiGDUqFH4+/vTvXt3i93NZTFw4ED8/f0JCQnBzc2NtLS061swERERERERkXucqfhGiyuKiMjfzqlTp6hRowYJCQn079//js3brl07GjduzNy5c+/YnLdbXl4eTk5O5Obm4ujoWN7hiIiIiIiIyN9cWX+HqmSEiMh9bPfu3fz3v//lwQcfJDc3lylTpgDQrVu3co5MRERERERERG4HJYRFRO5z8fHxHDhwAGtra5o2bcrXX39N1apVyzssEREREREREbkNVDJCRESuqbi4mMGDB/PRRx9x8uRJnJyciIyMvOtLPGRlZeHj48Pu3btp3LjxHZ1bJSNERERERETkTirr71C9VE5ERK4pOTmZpKQkPvvsM3JycmjYsGF5h1RCZGRkiZfVeXl53bXxioiIiIiIiJQHlYwQEZFryszMxMPDg1atWgFQseK98deHlZUV7u7u5R2GiIiIiIiIyF1DO4RFROSqIiMjeemll8jOzsZkMuHt7V2ij8lkYs2aNRbXnJ2dSUpKMs737dtH+/btsbOzw9XVlUGDBpGfnw9Aamoq1tbWfP3110b/1157jWrVqnH06FEAjhw5Qs+ePXF2dsbFxYVu3bqRlZUFQGxsLMuWLWPt2rWYTCZMJhOpqalkZWVhMplIT0835jGZTKSkpBASEkLlypVp1aoVBw4csIh97dq1NGnSBFtbW2rXrs3kyZM5f/78zS2kiIiIiIiIyF1ACWEREbmqefPmMWXKFGrWrElOTg7bt2+/7jFOnTpFaGgoVapUYfv27Xz44Yds3LiRqKgoANq1a8eIESN47rnnyM3NZffu3UyYMIElS5ZQvXp1zp07R2hoKA4ODnz99dekpaVhNpvp1KkTZ8+eJTo6mp49e9KpUydycnLIyckxdjNfyfjx40lISGDHjh1UrFiRfv36GW1ff/01ERERDB8+nP3797N48WKSkpJ49dVXr/qMBQUF5OXlWRwiIiIiIiIidxslhEVE5KqcnJxwcHAwyi+4ubld9xjvvfceZ86c4d1336Vhw4a0b9+eBQsWsHz5cmMH8LRp06hSpQqDBg3i2WefpW/fvjz++OMAvP/++xQVFbFkyRICAwMJCAggMTGR7OxsUlNTMZvN2NnZYWNjg7u7O+7u7lhbW5caz6uvvkrbtm2pX78+Y8eO5dtvv+XMmTMATJ48mbFjx9K3b19q167No48+ytSpU1m8ePFVn3HGjBk4OTkZh5eX13Wvk4iIiIiIiMjtdm8UgRQRkXtaRkYGjRo1wt7e3rjWunVrioqKOHDgANWrV8fa2pqVK1cSFBTEAw88wJw5c4y+e/bs4fDhwzg4OFiMe+bMGTIzM687nqCgIOOzh4cHAMeOHaNWrVrs2bOHtLQ0ix3BhYWFnDlzhtOnT1O5cuUrjjlu3DhGjhxpnOfl5SkpLCIiIiIiIncdJYRFROSmmUwmiouLLa6dO3fuusf59ttvAThx4gQnTpwwEsj5+fk0bdqUlStXlrjnRnYsV6pUyfhsMpkAKCoqMuaaPHkyPXr0KHGfra1tqWPa2NhgY2Nz3bGIiIiIiIiI3ElKCIuIyE1zc3MjJyfHOD906BCnT582zgMCAkhKSuLUqVNGkjctLY0KFSrg7+8PQGZmJi+//DJvv/0277//Pn379mXjxo1UqFCBJk2a8P7771OtWjUcHR2vGIO1tTWFhYU3/SxNmjThwIED1K1b96bHEhEREREREbnbqIawiIjctIs1gXfv3s2OHTsYMmSIxS7c8PBwbG1t6du3L99//z2bNm3ipZde4rnnnqN69eoUFhby7LPPEhoayvPPP09iYiJ79+4lISHBuL9q1ap069aNr7/+mp9++onU1FSGDRvGL7/8AoC3tzd79+7lwIED/PHHHze0Qxlg4sSJvPvuu0yePJkffviBjIwMVq1axSuvvHLzCyUiIiIiIiJSzpQQFhGRm5aQkICXlxdt2rThmWeeITo62qLWbuXKlfnyyy85ceIEzZo146mnnqJDhw4sWLAAuPCSt59//tl4cZuHhwdvvfUWr7zyCnv27KFy5cr85z//oVatWvTo0YOAgAD69+/PmTNnjB3DAwcOxN/fn5CQENzc3EhLS7uhZwkNDeWzzz7jq6++olmzZrRo0YI5c+bwwAMP3OQqiYiIiIiIiJQ/U/HlRR9FRETkpuXl5eHk5ERubm6pZS5EREREREREbpWy/g7VDmERERERERERERGR+4QSwiIi97Hi4mIGDRqEi4sLJpMJZ2dnRowYUd5h3XHt2rW7L59bRERERERE7j9KCIuI3MeSk5NJSkris88+Iycnh4YNG5Z3SCIiIiIiIiJyG1Us7wBERKT8ZGZm4uHhQatWrQCoWFF/LYiI/J15j11f3iGUu6y4LuUdgoiIiEi50g5hEZH7VGRkJC+99BLZ2dmYTCa8vb1L9DGZTKxZs8bimrOzM0lJScb5L7/8Qp8+fXBxccHe3p6QkBC2bt1qtC9atIg6depgbW2Nv78/y5cvLzHHkiVLeOKJJ6hcuTK+vr6sW7fOaC8sLKR///74+PhgZ2eHv78/8+bNKzHG5celz7N582YefPBBbGxs8PDwYOzYsZw/f77UtSkoKCA6OpoaNWpgb29P8+bNSU1NLX0xRURERERERO4RSgiLiNyn5s2bx5QpU6hZsyY5OTls3779usfIz8+nbdu2/O9//2PdunXs2bOH0aNHU1RUBMAnn3zC8OHDGTVqFN9//z2DBw/m+eefZ9OmTRbjTJ48mZ49e7J37146d+5MeHg4J06cAKCoqIiaNWvy4Ycfsn//fiZOnMg///lPPvjgA+P+nJwc4zh8+DB169bl4YcfBuB///sfnTt3plmzZuzZs4dFixaxdOlSpk2bVupzRUVFsWXLFlatWsXevXt5+umn6dSpE4cOHbruNRIRERERERG5m+j/DRYRuU85OTnh4OCAlZUV7u7uNzTGe++9x++//8727dtxcXEBoG7dukZ7fHw8kZGRDB06FICRI0fy3XffER8fzyOPPGL0i4yMpE+fPgBMnz6d+fPns23bNjp16kSlSpWYPHmy0dfHx4ctW7bwwQcf0LNnTwAj/uLiYp588kmcnJxYvHgxAG+88QZeXl4sWLAAk8lEvXr1+PXXXxkzZgwTJ06kQgXLfxvNzs4mMTGR7OxsPD09AYiOjiY5OZnExESmT59+xbUoKCigoKDAOM/Ly7uBFRURERERERG5vbRDWEREblh6ejrBwcFGMvhyGRkZtG7d2uJa69atycjIsLgWFBRkfLa3t8fR0ZFjx44Z1xYuXEjTpk1xc3PDbDbz1ltvkZ2dXWK+f/7zn2zZsoW1a9diZ2dnxNCyZUtMJpNFDPn5+fzyyy8lxti3bx+FhYX4+flhNpuNY/PmzWRmZpa6FjNmzMDJyck4vLy8Su0rIiIiIiIiUl60Q1hEREplMpkoLi62uHbu3Dnj88Wk682qVKlSiXkvlp1YtWoV0dHRJCQk0LJlSxwcHJg1a5ZFnWKAFStWMGfOHFJTU6lRo8YNx5Kfn4+VlRU7d+7EysrKos1sNpd637hx4xg5cqRxnpeXp6SwiIiIiIiI3HWUEBYRkVK5ubmRk5NjnB86dIjTp08b50FBQSxZsoQTJ05ccZdwQEAAaWlp9O3b17iWlpZG/fr1yxxDWloarVq1MspOACV26m7ZsoUBAwawePFiWrRoUSKGjz/+mOLiYmOXcFpaGg4ODtSsWbPEfMHBwRQWFnLs2DHatGlT5jhtbGywsbEpc38RERERERGR8qCEsIiIlKp9+/YsWLCAli1bUlhYyJgxYyx28/bp04fp06fTvXt3ZsyYgYeHB7t378bT05OWLVsSExNDz549CQ4OpmPHjnz66aesXr2ajRs3ljkGX19f3n33Xb788kt8fHxYvnw527dvx8fHB4DffvuNJ554gt69exMaGspvv/0GgJWVFW5ubgwdOpS5c+fy0ksvERUVxYEDB5g0aRIjR44sUT8YwM/Pj/DwcCIiIkhISCA4OJjff/+dlJQUgoKC6NKly02uqohI+cmK059hIiIiIvc71RAWEZFSJSQk4OXlRZs2bXjmmWeIjo6mcuXKRru1tTVfffUV1apVo3PnzgQGBhIXF2eUWujevTvz5s0jPj6eBg0asHjxYhITE2nXrl2ZYxg8eDA9evSgV69eNG/enOPHj1vsFv7vf//L0aNHWbZsGR4eHsbRrFkzAGrUqMHnn3/Otm3baNSoEUOGDKF///688sorpc6ZmJhIREQEo0aNwt/fn+7du7N9+3Zq1ap1nSsoIiIiIiIicncxFV9eHFJERERuWl5eHk5OTuTm5uLo6Fje4YiIiIiIiMjfXFl/h2qHsIiIiIiIiIiIiMh9QglhERERERERERERkfuEEsIiIn8zxcXFDBo0CBcXF0wmE+np6bd9zv/+97+0aNECW1tbGjdufNvnu5rU1FRMJhN//vknAElJSTg7O5drTCIiIiIiIiJ3i4rlHYCIiNxaycnJJCUlkZqaSu3atalateptn3PSpEnY29tz4MABzGbzbZ/vevTq1YvOnTuXdxgiIiIiIiIidwUlhEVE/mYyMzPx8PCgVatWd3TOLl268MADD9yxOcvKzs4OOzu78g5DROSu4D12fXmHILdBVlyX8g5BRERE7iEqGSEi8jcSGRnJSy+9RHZ2NiaTCW9vb4qKipgxYwY+Pj7Y2dnRqFEjPvroI+BCeYmOHTsSGhpKcXExACdOnKBmzZpMnDgRgKKiIqZMmULNmjWxsbGhcePGJCcnG3OaTCZ27tzJlClTMJlMxMbGAnDkyBF69uyJs7MzLi4udOvWjaysLItYu3fvTnx8PB4eHri6uvLiiy9y7tw5o8/y5csJCQnBwcEBd3d3nnnmGY4dO2bxzJ9//jl+fn7Y2dnxyCOPWMwBJUtGxMbG0rhxY5YvX463tzdOTk707t2bv/76y+hztTUTERERERERuZcpISwi8jcyb948I3mbk5PD9u3bmTFjBu+++y5vvvkmP/zwAy+//DLPPvssmzdvxmQysWzZMrZv3878+fMBGDJkCDVq1DASwvPmzSMhIYH4+Hj27t1LaGgojz/+OIcOHQIgJyeHBg0aMGrUKHJycoiOjubcuXOEhobi4ODA119/TVpaGmazmU6dOnH27Fkj3k2bNpGZmcmmTZtYtmwZSUlJJCUlGe3nzp1j6tSp7NmzhzVr1pCVlUVkZKTRfuTIEXr06EFYWBjp6ekMGDCAsWPHXnOdMjMzWbNmDZ999hmfffYZmzdvJi4uzmi/2pqJiIiIiIiI3MtUMkJE5G/EyckJBwcHrKyscHd3p6CggOnTp7Nx40ZatmwJQO3atfnmm29YvHgxbdu2pUaNGixevJiIiAh+++03Pv/8c3bv3k3Fihf+ioiPj2fMmDH07t0bgJkzZ7Jp0ybmzp3LwoULcXd3p2LFipjNZtzd3QFYsWIFRUVFLFmyBJPJBEBiYiLOzs6kpqbyj3/8A4AqVaqwYMECrKysqFevHl26dCElJYWBAwcC0K9fP+PZateuzfz582nWrBn5+fmYzWYWLVpEnTp1SEhIAMDf3599+/Yxc+bMq65TUVERSUlJODg4APDcc8+RkpLCq6++WqY1u5KCggIKCgqM87y8vLJ+bSIiIiIiIiJ3jBLCIiJ/Y4cPH+b06dM8+uijFtfPnj1LcHCwcf7000/zySefEBcXx6JFi/D19QUuJDV//fVXWrdubXF/69at2bNnT6nz7tmzh8OHDxsJ14vOnDlDZmamcd6gQQOsrKyMcw8PD/bt22ec79y5k9jYWPbs2cPJkycpKioCIDs7m/r165ORkUHz5s0t5riYxL0ab29vi9g8PDyMUhRlXbPLzZgxg8mTJ19zbhEREREREZHypISwiMjfWH5+PgDr16+nRo0aFm02NjbG59OnT7Nz506srKyMUhA3O2/Tpk1ZuXJliTY3Nzfjc6VKlSzaTCaTkfQ9deoUoaGhhIaGsnLlStzc3MjOziY0NNSi7MSNuNq8ZV2zy40bN46RI0ca53l5eXh5ed1UnCIiIiIiIiK3mhLCIiJ/Y/Xr18fGxobs7OxSSx0AjBo1igoVKvDFF1/QuXNnunTpQvv27XF0dMTT05O0tDSL+9PS0njwwQdLHa9Jkya8//77VKtWDUdHxxuK/b///S/Hjx8nLi7OSKzu2LHDok9AQADr1q2zuPbdd9/d0HwXlXXNLmdjY3PVhLGIiIiIiIjI3UAJYRGRvzEHBweio6N5+eWXKSoq4qGHHiI3N5e0tDQcHR3p27cv69ev55133mHLli00adKEmJgY+vbty969e6lSpQoxMTFMmjSJOnXq0LhxYxITE0lPT7/i7t+LwsPDmTVrFt26dTNecvfzzz+zevVqRo8eTc2aNa8Ze61atbC2tub1119nyJAhfP/990ydOtWiz5AhQ0hISCAmJoYBAwawc+dOi5fS3a41ExG5V2XFdSnvEERERESknFUo7wBEROT2mjp1KhMmTGDGjBkEBATQqVMn1q9fj4+PD7///jv9+/cnNjaWJk2aADB58mSqV6/OkCFDABg2bBgjR45k1KhRBAYGkpyczLp164w6w1dSuXJl/vOf/1CrVi169OhBQEAA/fv358yZM2XeMezm5kZSUhIffvgh9evXJy4ujvj4eIs+tWrV4uOPP2bNmjU0atSIN998k+nTp9/gSv3/rrZmIiIiIiIiIvcyU3FxcXF5ByEiIvJ3k5eXh5OTE7m5uTdcNkNERERERESkrMr6O1Q7hEVERERERERERETuE0oIi4iIiIiIiIiIiNwnlBAWERFDcXExgwYNwsXFBZPJRHp6enmHZCEyMpLu3btftU+7du0YMWKEce7t7c3cuXNva1wiIiIiIiIi94qK5R2AiIjcPZKTk0lKSiI1NZXatWtTtWrVcokjKysLHx8fdu/eTePGjY3r8+bN43pL32/fvh17e/tbHKGIiIiIiIjIvUkJYRERMWRmZuLh4UGrVq3KO5QrcnJyuu573NzcbkMkIiL3Ju+x68s7hHKXFdelvEMQERERKVcqGSEiIsCFcgwvvfQS2dnZmEwmvL29SU5O5qGHHsLZ2RlXV1e6du1KZmamcU9WVhYmk4kPPviANm3aYGdnR7NmzTh48CDbt28nJCQEs9nMY489xu+//27cV1RUxJQpU6hZsyY2NjY0btyY5ORko93HxweA4OBgTCYT7dq1M2K8tGTEqVOniIiIwGw24+HhQUJCQonnurxkhMlkYsmSJTzxxBNUrlwZX19f1q1bZ3HP999/z2OPPYbZbKZ69eo899xz/PHHHzezvCIiIiIiIiJ3BSWERUQEuFCO4WKSNicnh+3bt3Pq1ClGjhzJjh07SElJoUKFCjzxxBMUFRVZ3Dtp0iReeeUVdu3aRcWKFXnmmWcYPXo08+bN4+uvv+bw4cNMnDjRYq6EhATi4+PZu3cvoaGhPP744xw6dAiAbdu2AbBx40ZycnJYvXr1FWOOiYlh8+bNrF27lq+++orU1FR27dp1zWedPHkyPXv2ZO/evXTu3Jnw8HBOnDgBwJ9//kn79u0JDg5mx44dJCcnc/ToUXr27HlD6yoiIiIiIiJyN1HJCBERAS6UY3BwcMDKygp3d3cAnnzySYs+77zzDm5ubuzfv5+GDRsa16OjowkNDQVg+PDh9OnTh5SUFFq3bg1A//79SUpKMvrHx8czZswYevfuDcDMmTPZtGkTc+fOZeHChUaZB1dXVyOWy+Xn57N06VJWrFhBhw4dAFi2bBk1a9a85rNGRkbSp08fAKZPn878+fPZtm0bnTp1YsGCBQQHBzN9+nSL5/by8uLgwYP4+fldccyCggIKCgqM87y8vGvGISIiIiIiInKnaYewiIiU6tChQ/Tp04fatWvj6OiIt7c3ANnZ2Rb9goKCjM/Vq1cHIDAw0OLasWPHgAuJ0l9//dVIFl/UunVrMjIyyhxbZmYmZ8+epXnz5sY1FxcX/P39r3nvpfHa29vj6OhoxLdnzx42bdqE2Ww2jnr16hlzlmbGjBk4OTkZh5eXV5mfRURERERERORO0Q5hEREpVVhYGA888ABvv/02np6eFBUV0bBhQ86ePWvRr1KlSsZnk8l0xWuXl5koT5fGBpbx5efnExYWxsyZM0vc5+HhUeqY48aNY+TIkcZ5Xl6eksIiIiIiIiJy11FCWEREruj48eMcOHCAt99+mzZt2gDwzTff3PS4jo6OeHp6kpaWRtu2bY3raWlpPPjggwBYW1sDUFhYWOo4derUoVKlSmzdupVatWoBcPLkSQ4ePGgx7vVq0qQJH3/8Md7e3lSsWPa/Jm1sbLCxsbnheUVERERERETuBCWERUTkiqpUqYKrqytvvfUWHh4eZGdnM3bs2FsydkxMDJMmTaJOnTo0btyYxMRE0tPTWblyJQDVqlXDzs6O5ORkatasia2tLU5OThZjmM1m+vfvT0xMDK6urlSrVo3x48dTocLNVUN68cUXefvtt+nTpw+jR4/GxcWFw4cPs2rVKpYsWYKVldVNjS8iUp6y4rqUdwgiIiIiUs5UQ1hERK6oQoUKrFq1ip07d9KwYUNefvllZs2adUvGHjZsGCNHjmTUqFEEBgaSnJzMunXr8PX1BaBixYrMnz+fxYsX4+npSbdu3a44zqxZs2jTpg1hYWF07NiRhx56iKZNm95UbBd3LxcWFvKPf/yDwMBARowYgbOz800nm0VERERERETKm6m4uLi4vIMQERH5u8nLy8PJyYnc3FwcHR3LOxwRERERERH5myvr71BtdRIRERERERERERG5TyghLCIiIiIiIiIiInKfUEJYRETKJDY2lsaNG98144iIiIiIiIjI9VNCWEREyiQ6OpqUlBTjPDIyku7du5dfQCIiIiIiIiJy3SqWdwAiInJvMJvNmM3m8g6jTIqLiyksLKRiRf01JyJyKe+x6+/4nFlxXe74nCIiIiJSOu0QFhH5mykqKmLGjBn4+PhgZ2dHo0aN+OijjwA4efIk4eHhuLm5YWdnh6+vL4mJica9v/zyC3369MHFxQV7e3tCQkLYunUrYFnqITY2lmXLlrF27VpMJhMmk4nU1FQAxowZg5+fH5UrV6Z27dpMmDCBc+fOXTXeKVOmULNmTWxsbGjcuDHJyclGe1ZWFiaTiVWrVtGqVStsbW1p2LAhmzdvNvqkpqZiMpn44osvaNq0KTY2NnzzzTdkZmbSrVs3qlevjtlsplmzZmzcuNFifm9vb6ZNm0ZERARms5kHHniAdevW8fvvv9OtWzfMZjNBQUHs2LHjpr4XERERERERkbuBEsIiIn8zM2bM4N133+XNN9/khx9+4OWXX+bZZ59l8+bNTJgwgf379/PFF1+QkZHBokWLqFq1KgD5+fm0bduW//3vf6xbt449e/YwevRoioqKSswRHR1Nz5496dSpEzk5OeTk5NCqVSsAHBwcSEpKYv/+/cybN4+3336bOXPmlBrvvHnzSEhIID4+nr179xIaGsrjjz/OoUOHLPrFxMQwatQodu/eTcuWLQkLC+P48eMWfcaOHUtcXBwZGRkEBQWRn59P586dSUlJYffu3XTq1ImwsDCys7Mt7pszZw6tW7dm9+7ddOnSheeee46IiAieffZZdu3aRZ06dYiIiKC4uLjU5ygoKCAvL8/iEBEREREREbnb6P+lFRH5GykoKGD69Ols3LiRli1bAlC7dm2++eYbFi9eTH5+PsHBwYSEhAAXdsde9N577/H777+zfft2XFxcAKhbt+4V5zGbzdjZ2VFQUIC7u7tF2yuvvGJ89vb2Jjo6mlWrVjF69OgrjhUfH8+YMWPo3bs3ADNnzmTTpk3MnTuXhQsXGv2ioqJ48sknAVi0aBHJycksXbrUYtwpU6bw6KOPGucuLi40atTIOJ86dSqffPIJ69atIyoqyrjeuXNnBg8eDMDEiRNZtGgRzZo14+mnnwYu7Hpu2bIlR48eLfG8F82YMYPJkydfsU1ERERERETkbqGEsIjI38jhw4c5ffq0RVIU4OzZswQHBxMbG8uTTz7Jrl27+Mc//kH37t2Nnb3p6ekEBwcbyeAb9f777zN//nwyMzPJz8/n/PnzODo6XrFvXl4ev/76K61bt7a43rp1a/bs2WNx7WKCG6BixYqEhISQkZFh0ediovui/Px8YmNjWb9+PTk5OZw/f57/+7//K7FDOCgoyPhcvXp1AAIDA0tcO3bsWKkJ4XHjxjFy5EiLZ/Py8rpiXxEREREREZHyooSwiMjfSH5+PgDr16+nRo0aFm02NjZ4eXnx888/8/nnn7NhwwY6dOjAiy++SHx8PHZ2djc9/5YtWwgPD2fy5MmEhobi5OTEqlWrSEhIuOmxy8Le3t7iPDo6mg0bNhAfH0/dunWxs7Pjqaee4uzZsxb9KlWqZHw2mUylXrtS+YyLbGxssLGxuelnEBEREREREbmdVENYRORvpH79+tjY2JCdnU3dunUtjou7Vd3c3Ojbty8rVqxg7ty5vPXWW8CFXbLp6emcOHGiTHNZW1tTWFhoce3bb7/lgQceYPz48YSEhODr68vPP/9c6hiOjo54enqSlpZmcT0tLY369etbXPvuu++Mz+fPn2fnzp0EBARcNca0tDQiIyN54oknCAwMxN3dnaysrDI9n4iIiIiIiMjfkXYIi4j8jTg4OBAdHc3LL79MUVERDz30ELm5uaSlpeHo6EhmZiZNmzalQYMGFBQU8NlnnxlJ1T59+jB9+nS6d+/OjBkz8PDwYPfu3Xh6elqUa7jI29ubL7/8kgMHDuDq6oqTkxO+vr5kZ2ezatUqmjVrxvr16/nkk0+uGnNMTAyTJk2iTp06NG7cmMTERNLT01m5cqVFv4ULF+Lr60tAQABz5szh5MmT9OvX76pj+/r6snr1asLCwjCZTEyYMOGqu3xFRP7usuK6lHcIIiIiIlLOlBAWEfmbmTp1Km5ubsyYMYMff/wRZ2dnmjRpwj//+U+OHDnCuHHjyMrKws7OjjZt2rBq1Srgwo7fr776ilGjRtG5c2fOnz9P/fr1LV7sdqmBAweSmppKSEgI+fn5bNq0iccff5yXX36ZqKgoCgoK6NKlCxMmTCA2NrbUeIcNG0Zubi6jRo3i2LFj1K9fn3Xr1uHr62vRLy4ujri4ONLT06lbty7r1q2jatWqV12L2bNn069fP1q1akXVqlUZM2YMeXl517egIiIiIiIiIn8jpuLi4uLyDkJERKQ0WVlZ+Pj4sHv3bho3blze4ZRZXl4eTk5O5ObmlvpSPREREREREZFbpay/Q1VDWEREREREREREROQ+oYSwiIiIiIiIiIiIyH1CCWERkTugXbt2jBgxArjwMra5c+eW+d6srCxMJhPp6em3JbbbPc/Njuvt7U1xcfENl4tISkrC2dn5hu4VERERERER+bvRS+VERO6w7du3Y29vX95h3Dd69epF586dyzsMERERERERkbuCEsIiIneYm5tbeYdwVykuLqawsJCKFW/PX0l2dnbY2dndlrFFRO413mPXl3cIAmTFdSnvEEREROQ+ppIRIiK32KlTp4iIiMBsNuPh4UFCQoJF++UlI0wmE4sWLeKxxx7Dzs6O2rVr89FHH5UY98cff+SRRx6hcuXKNGrUiC1btli0f/PNN7Rp0wY7Ozu8vLwYNmwYp06dsph3+vTp9OvXDwcHB2rVqsVbb71V5nlOnTqFo6NjidjWrFmDvb09f/31FwDbtm0jODgYW1tbQkJC2L17t0X/1NRUTCYTX3zxBU2bNsXGxoZvvvmGzMxMunXrRvXq1TGbzTRr1oyNGzeWWLtp06YZ6/vAAw+wbt06fv/9d7p164bZbCYoKIgdO3YY91xeMiI2NpbGjRuzfPlyvL29cXJyonfv3kb8AEVFRcyYMQMfHx/s7Oxo1KjRFb8TERERERERkXuNEsIiIrdYTEwMmzdvZu3atXz11Vekpqaya9euq94zYcIEnnzySfbs2UN4eDi9e/cmIyPDos/48eOJjo4mPT0dPz8/+vTpw/nz5wHIzMykU6dOPPnkk+zdu5f333+fb775hqioKIsxEhISjCTt0KFDeeGFFzhw4ECZ5rG3t6d3794kJiZa9E9MTOSpp57CwcGB/Px8unbtSv369dm5cyexsbFER0df8ZnHjh1LXFwcGRkZBAUFkZ+fT+fOnUlJSWH37t106tSJsLAwsrOzLe6bM2cOrVu3Zvfu3XTp0oXnnnuOiIgInn32WXbt2kWdOnWIiIiguLi41PXOzMxkzZo1fPbZZ3z22Wds3ryZuLg4o33GjBm8++67vPnmm/zwww+8/PLLPPvss2zevLnUMQsKCsjLy7M4RERERERERO42SgiLiNxC+fn5LF26lPj4eDp06EBgYCDLli0zErelefrppxkwYAB+fn5MnTqVkJAQXn/9dYs+0dHRdOnSBT8/PyZPnszPP//M4cOHgQsJzPDwcEaMGIGvry+tWrVi/vz5vPvuu5w5c8YYo3PnzgwdOpS6desyZswYqlatyqZNm8o8z4ABA/jyyy/JyckB4NixY3z++ef069cPgPfee4+ioiKWLl1KgwYN6Nq1KzExMVd85ilTpvDoo49Sp04dXFxcaNSoEYMHD6Zhw4b4+voydepU6tSpw7p16yzu69y5M4MHD8bX15eJEyeSl5dHs2bNePrpp/Hz82PMmDFkZGRw9OjRUte7qKiIpKQkGjZsSJs2bXjuuedISUkBLiR2p0+fzjvvvENoaCi1a9cmMjKSZ599lsWLF5c65owZM3BycjIOLy+vUvuKiIiIiIiIlBclhEVEbqHMzEzOnj1L8+bNjWsuLi74+/tf9b6WLVuWOL98h3BQUJDx2cPDA7iQkAXYs2cPSUlJmM1m4wgNDaWoqIiffvrpimOYTCbc3d2NMcoyz4MPPkiDBg1YtmwZACtWrOCBBx7g4YcfBjB2+9ra2pb6bBeFhIRYnOfn5xMdHU1AQADOzs6YzWYyMjJK7BC+NL7q1asDEBgYWOLa5c91KW9vbxwcHCye82L/w4cPc/r0aR599FGL9Xz33XfJzMwsdcxx48aRm5trHEeOHCm1r4iIiIiIiEh50UvlRETuEZUqVTI+m0wm4MJOV7iQTB08eDDDhg0rcV+tWrWuOMbFcS6OUZZ54MIu4YULFzJ27FgSExN5/vnnjX7Xw97e3uI8OjqaDRs2EB8fT926dbGzs+Opp57i7Nmz14zvWjFf7mrrkJ+fD8D69eupUaOGRT8bG5tSx7Sxsblqu4iIiIiIiMjdQDuERURuoTp16lCpUiW2bt1qXDt58iQHDx686n3fffddifOAgIAyz9ukSRP2799P3bp1SxzW1tbX9xDX8Oyzz/Lzzz8zf/589u/fT9++fY22gIAA9u7da1Gm4vJnK01aWhqRkZE88cQTBAYG4u7uTlZW1i2NvSzq16+PjY0N2dnZJdZSZSBERERERETkXqcdwiIit5DZbKZ///7ExMTg6upKtWrVGD9+PBUqXP3f3z788ENCQkJ46KGHWLlyJdu2bWPp0qVlnnfMmDG0aNGCqKgoBgwYgL29Pfv372fDhg0sWLDgZh/LQpUqVejRowcxMTH84x//oGbNmkbbM888w/jx4xk4cCDjxo0jKyuL+Pj4Mo3r6+vL6tWrCQsLw2QyMWHChKvu8r1dHBwciI6O5uWXX6aoqIiHHnqI3Nxc0tLScHR0tEiAi4jca7LiupR3CCIiIiJSzpQQFhG5xWbNmkV+fj5hYWE4ODgwatQocnNzr3rP5MmTWbVqFUOHDsXDw4N//etf1K9fv8xzBgUFsXnzZsaPH0+bNm0oLi6mTp069OrV62Yf54r69+/Pe++9Z7xM7iKz2cynn37KkCFDCA4Opn79+sycOZMnn3zymmPOnj2bfv360apVK6pWrcqYMWPIy8u7LfFfy9SpU3Fzc2PGjBn8+OOPODs706RJE/75z3+WSzwiIiIiIiIit4qpuLi4uLyDEBG5n5lMJj755BO6d+9e3qGU2fLly3n55Zf59ddfb3lJir+LvLw8nJycyM3NxdHRsbzDERERERERkb+5sv4O1Q5hEREps9OnT5OTk0NcXByDBw9WMlhERERERETkHqOXyomISJm99tpr1KtXD3d3d8aNG1fe4YiIiIiIiIjIdVJCWESknBUXF9O9e3fatWvHiBEjbsmYSUlJODs735KxLhUbG8u5c+dISUnBbDbf8vHLy+1aLxEREREREZG7jRLCIiIiIiIiIiIiIvcJ1RAWEZG71tmzZ1WnWETuKd5j15d3CFeVFdelvEMQERERkXKmHcIiIuXg1KlTREREYDab8fDwICEhwaK9oKCA6OhoatSogb29Pc2bNyc1NRWAM2fO0KBBAwYNGmT0z8zMxMHBgXfeeeeK82VmZtKtWzeqV6+O2WymWbNmbNy40aKPt7c306dPp1+/fjg4OFCrVi3eeusto/3s2bNERUXh4eGBra0tDzzwADNmzDDas7Oz6datG2azGUdHR3r27MnRo0eN9tjYWBo3bszixYvx8vKicuXK9OzZk9zcXKNPZGQk3bt359VXX8XT0xN/f38Ali9fTkhICA4ODri7u/PMM89w7Ngxi/tMJlOJ4+KanTx5koiICKpUqULlypV57LHHOHTo0FW/o7Vr19KkSRNsbW2pXbs2kydP5vz581e9R0RERERERORup4SwiEg5iImJYfPmzaxdu5avvvqK1NRUdu3aZbRHRUWxZcsWVq1axd69e3n66afp1KkThw4dwtbWlpUrV7Js2TLWrl1LYWEhzz77LI8++ij9+vW74nz5+fl07tyZlJQUdu/eTadOnQgLCyM7O9uiX0JCAiEhIezevZuhQ4fywgsvcODAAQDmz5/PunXr+OCDDzhw4AArV67E29sbgKKiIrp168aJEyfYvHkzGzZs4Mcff6RXr14W4x8+fJgPPviATz/9lOTkZGOeS6WkpHDgwAE2bNjAZ599BsC5c+eYOnUqe/bsYc2aNWRlZREZGWncM2/ePHJycoxj+PDhVKtWjXr16gEXEsY7duxg3bp1bNmyheLiYjp37sy5c+euuF5ff/01ERERDB8+nP3797N48WKSkpJ49dVXS/1OCwoKyMvLszhERERERERE7jam4uLi4vIOQkTkfpKfn4+rqysrVqzg6aefBuDEiRPUrFmTQYMGMXLkSGrXrk12djaenp7GfR07duTBBx9k+vTpAMyaNYvXXnuN3r178/HHH7Nv3z5cXV2BCy9JGzFiBH/++WepcTRs2JAhQ4YQFRUFXNgh3KZNG5YvXw5ceNmdu7s7kydPZsiQIQwbNowffviBjRs3YjKZLMbasGEDjz32GD/99BNeXl4A7N+/nwYNGrBt2zaaNWtGbGws06ZN4+eff6ZGjRoAJCcn06VLF/73v//h7u5OZGQkycnJZGdnX7VUxI4dO2jWrBl//fVXiZfbrV69mvDwcDZu3Ejr1q05dOgQfn5+pKWl0apVKwCOHz+Ol5cXy5Yt4+mnny6xXh07dqRDhw6MGzfOGHfFihWMHj2aX3/99YoxxcbGMnny5BLXc3NzcXR0LPVZROTvRSUjRERERKS85OXl4eTkdM3fodohLCJyh2VmZnL27FmaN29uXHNxcTHKI+zbt4/CwkL8/Pwwm83GsXnzZjIzM417Ro0ahZ+fHwsWLOCdd94xksFXkp+fT3R0NAEBATg7O2M2m8nIyCixQzgoKMj4bDKZcHd3N0ozREZGkp6ejr+/P8OGDeOrr74y+mZkZODl5WUkgwHq16+Ps7MzGRkZxrVatWoZyWCAli1bUlRUZOxCBggMDCyRDN65cydhYWHUqlULBwcH2rZtC1Ai/t27d/Pcc8+xYMECWrdubcRWsWJFi/V2dXXF39/fIrZL7dmzhylTplis/8CBA8nJyeH06dNXvGfcuHHk5uYax5EjR67YT0RERERERKQ86aVyIiJ3mfz8fKysrNi5cydWVlYWbZfuhj127BgHDx7EysqKQ4cO0alTp1LHjI6OZsOGDcTHx1O3bl3s7Ox46qmnOHv2rEW/SpUqWZybTCaKiooAaNKkCT/99BNffPEFGzdupGfPnnTs2JGPPvroZh/Zgr29vcX5qVOnCA0NJTQ0lJUrV+Lm5kZ2djahoaEW8f/22288/vjjDBgwgP79+99UDPn5+UyePJkePXqUaLO1tb3iPTY2NtjY2NzUvCIiIiIiIiK3mxLCIiJ3WJ06dahUqRJbt26lVq1awIWXnh08eJC2bdsSHBxMYWEhx44do02bNqWO069fPwIDA+nfvz8DBw6kY8eOBAQEXLFvWloakZGRPPHEE8CFhGdWVtZ1x+7o6EivXr3o1asXTz31FJ06deLEiRMEBARw5MgRjhw5YlEy4s8//6R+/frG/dnZ2fz6669GKYzvvvuOChUqGLujr+S///0vx48fJy4uzhh7x44dFn3OnDlDt27dqFevHrNnz7ZoCwgI4Pz582zdutWiZMSBAwcsYrtUkyZNOHDgAHXr1r3OFRIRERERERG5uykhLCJyh5nNZvr3709MTAyurq5Uq1aN8ePHU6HChSo+fn5+hIeHExERQUJCAsHBwfz++++kpKQQFBREly5dWLhwIVu2bGHv3r14eXmxfv16wsPD+e67765Ye9fX15fVq1cTFhaGyWRiwoQJxs7fspo9ezYeHh4EBwdToUIFPvzwQ9zd3XF2dqZjx44EBgYSHh7O3LlzOX/+PEOHDqVt27aEhIQYY9ja2tK3b1/i4+PJy8tj2LBh9OzZE3d391LnrVWrFtbW1rz++usMGTKE77//nqlTp1r0GTx4MEeOHCElJYXff//duO7i4oKvry/dunVj4MCBLF68GAcHB8aOHUuNGjXo1q3bFeecOHEiXbt2pVatWjz11FNUqFCBPXv28P333zNt2rTrWjcRub+oRq+IiIiI3O1UQ1hEpBzMmjWLNm3aEBYWRseOHXnooYdo2rSp0Z6YmEhERASjRo3C3///Y+/Oo7qq9v+PPz+AzKOIiAriAIrzWCp6nSq8OVtpzuSUt8gccCBFUVPINCeuZVigpj+sm1lpqUliirPlTA50Ee+N0hxA9IoIn98fLs/XT6CiqZi9HmudtThn77P3+2w+S9fn7fZ9qtO1a1d2796Nn58fP/74I2PGjGHhwoXGjtmFCxfy22+/ERkZWeR877zzDh4eHjRv3pxOnToREhJCw4YN7ypmFxcXZs6cSePGjWnSpAnp6el89dVXWFlZYTKZ+Pzzz/Hw8OBvf/sbTz31FFWqVGHlypUWY1SrVo3u3bvz7LPP8swzz1C3bl0WLlx423m9vLxISEjgk08+oWbNmsTExDBr1iyLPps3byYzM5OaNWvi4+NjHNu2bTPWs1GjRnTs2JFmzZphNpv56quvCpXIuCEkJIQ1a9awYcMGmjRpQtOmTZkzZw6VKlW6qzUTERERERERedSYzGazuaSDEBGRx19UVBSrV69m3759JR3KQ1Hct7uKiIiIiIiI3A/F/R6qHcIiIiIiIiIiIiIifxFKCIuIiIiIiIiIiIj8RSghLCIPROvWrRkxYkRJh3FP7kfsf+bnf1CioqLua7mI0NBQunbtapybzWaGDh1K6dKlMZlMf5nSFCIiIiIiIiJ3QwlhEfnLSk5OxmQyceHChZIORe6DdevWkZCQwJo1a8jMzKR27dp3vCc9PV3JYxEREREREflLsSnpAERE5MG5evUqtra2JR3GQ5GWloaPjw/Nmzcv6VBE5BHlP35tSYdQ4tJjOpR0CCIiIiJSwrRDWET+sEuXLtG/f3+cnZ3x8fFh9uzZhfrk5uYSHh5OhQoVcHJy4sknnyQ5OdloP3nyJJ06dcLDwwMnJydq1arFV199BfzfTt7169fToEEDHBwcaNu2LadPn+brr78mKCgIV1dXevfuzeXLl40xCwoKiI6OpnLlyjg4OFCvXj3+9a9/Add3hrZp0wYADw8PTCYToaGhFveOHTuW0qVLU65cOaKiooy2gQMH0rFjR4vny8vLo2zZsnzwwQdFrpG/vz8zZsxg4MCBuLi44Ofnx/vvv2/RZ9y4cQQGBuLo6EiVKlWIjIwkLy/PaI+KiqJ+/fosWrQIX19fHB0d6dGjB1lZWUafG2UUpk+fTvny5alevToABw8epG3btjg4OODp6cnQoUPJyckx1tfW1pYtW7YY48ycOZOyZcvy66+/AnDq1Cl69OiBu7s7pUuXpkuXLqSnpxead9asWfj4+ODp6cmrr75qEf/v7d+/nzZt2uDi4oKrqyuNGjViz549Fs96s7lz5+Lv71/kWKGhobz22mtkZGRgMpmMfuvWraNFixa4u7vj6elJx44dSUtLM+6rXLkyAA0aNMBkMtG6dWujbfHixQQFBWFvb0+NGjVYuHDhLZ9FRERERERE5M9CCWER+cPGjBnD5s2b+fzzz9mwYQPJycl8//33Fn3CwsLYvn07iYmJHDhwgBdeeIH27dtz/PhxAF599VVyc3P57rvvOHjwIG+99RbOzs4WY0RFRREbG8u2bduMBOXcuXNZsWIFa9euZcOGDSxYsMDoHx0dzdKlS3nvvfc4fPgwI0eOpG/fvmzevBlfX18+/fRTAI4ePUpmZibz5s0z7l2yZAlOTk7s3LmTmTNnMnXqVL755hsABg8ezLp168jMzDT6r1mzhsuXL9OzZ89brtPs2bNp3LgxP/zwA6+88gr/+Mc/OHr0qNHu4uJCQkICR44cYd68ecTFxTFnzhyLMU6cOMHHH3/Ml19+ybp164yxbpaUlMTRo0f55ptvWLNmDZcuXSIkJAQPDw92797NJ598wsaNGwkLCwP+r95xv379yMrK4ocffiAyMpLFixfj7e1NXl4eISEhuLi4sGXLFlJSUnB2dqZ9+/ZcvXrVmHfTpk2kpaWxadMmlixZQkJCAgkJCbdcjz59+lCxYkV2797N3r17GT9+PKVKlbpl/9uZN28eU6dOpWLFimRmZrJ7927g+j9WjBo1ij179pCUlISVlRXdunWjoKAAgF27dgGwceNGMjMzWbVqFQDLly9n0qRJTJ8+ndTUVGbMmEFkZCRLliy5ZQy5ublkZ2dbHCIiIiIiIiKPGpWMEJE/JCcnhw8++ICPPvqIdu3aAdeTqRUrVjT6ZGRkEB8fT0ZGBuXLlwcgPDycdevWER8fz4wZM8jIyOC5556jTp06AFSpUqXQXG+++SbBwcEADBo0iIiICNLS0oy+zz//PJs2bWLcuHHk5uYyY8YMNm7cSLNmzYwxt27dyqJFi2jVqhWlS5cGoGzZsri7u1vMVbduXSZPngxAQEAAsbGxJCUl8fTTT9O8eXOqV6/OsmXLGDt2LADx8fG88MILhZLYN3v22WeN5O24ceOYM2cOmzZtMnbxTpw40ejr7+9PeHg4iYmJxhwAV65cYenSpVSoUAGABQsW0KFDB2bPnk25cuUAcHJyYvHixUapiLi4OOM+JycnAGJjY+nUqRNvvfUW3t7evPnmm3zzzTcMHTqUQ4cOMWDAADp37gzAypUrKSgoYPHixZhMJuN53d3dSU5O5plnngGu77SOjY3F2tqaGjVq0KFDB5KSkhgyZEiR65GRkcGYMWOoUaOGsc73ys3NDRcXF6ytrY11AHjuuecs+n344Yd4eXlx5MgRateujZeXFwCenp4W902ePJnZs2fTvXt34PpO4iNHjrBo0SIGDBhQZAzR0dFMmTLlnp9BRERERERE5GHQDmER+UPS0tK4evUqTz75pHGtdOnSRpITrpcryM/PJzAwEGdnZ+PYvHmz8d/3hw8fbiR8J0+ezIEDBwrNVbduXeNnb29vo7TCzddOnz4NXN9Je/nyZZ5++mmLOZcuXWpRMuBWbp4LwMfHxxgbru8Sjo+PB+DXX3/l66+/ZuDAgcUe02QyUa5cOYsxV65cSXBwMOXKlcPZ2ZmJEyeSkZFhMYafn5+RDAZo1qwZBQUFFjuN69SpY1E3ODU1lXr16hnJYIDg4GCL+2xtbVm+fDmffvopV65csdiZvH//fk6cOIGLi4uxjqVLl+bKlSsWa1mrVi2sra1vuWa/N2rUKAYPHsxTTz1FTExMsX4vd+v48eP06tWLKlWq4OrqapSS+P263uzSpUukpaUxaNAgi8/Om2++edsYIyIiyMrKMo5Tp07d78cRERERERER+cO0Q1hEHricnBysra3Zu3evRcIQMHbUDh48mJCQEKP0Q3R0NLNnz+a1114z+t5cTsBkMhUqL2AymYxSADfq465du9YigQpgZ2d3x5hvNzZA//79GT9+PNu3b2fbtm1UrlyZli1b3vOY27dvp0+fPkyZMoWQkBDc3NxITEwssh7zndyc+L0b27ZtA+DcuXOcO3fOGCcnJ4dGjRqxfPnyQvfc2GELd16z34uKiqJ3796sXbuWr7/+msmTJ5OYmEi3bt2wsrLCbDZb9L9dPeJb6dSpE5UqVSIuLo7y5ctTUFBA7dq1LUpd/N6Nz05cXJzFP3QAhT6/N7OzsyvWZ0tERERERESkJCkhLCJ/SNWqVSlVqhQ7d+7Ez88PgPPnz3Ps2DFatWoFXH9hV35+PqdPn75t0tTX15dhw4YxbNgwIiIiiIuLs0gI342aNWtiZ2dHRkaGEcfv3dhFm5+ff9fje3p60rVrV+Lj49m+fTsvvfTSPcV5w7Zt26hUqRITJkwwrp08ebJQv4yMDH7++Wej9MaOHTuwsrKy2JH9e0FBQSQkJHDp0iUjyZuSkmJxX1paGiNHjiQuLo6VK1cyYMAANm7ciJWVFQ0bNmTlypWULVsWV1fXP/ScvxcYGEhgYCAjR46kV69exMfH061bN7y8vPjll18wm81GmYp9+/bd1dhnz57l6NGjxMXFGZ+7rVu3WvQp6jPg7e1N+fLl+emnn+jTp88feDoRedSkx3Qo6RBEREREREqcSkaIyB/i7OzMoEGDGDNmDN9++y2HDh0iNDQUK6v/++MlMDCQPn360L9/f1atWsW///1vdu3aRXR0NGvXrgVgxIgRrF+/nn//+998//33bNq0iaCgoHuOy8XFhfDwcEaOHMmSJUtIS0vj+++/Z8GCBcaLwSpVqoTJZGLNmjWcOXPG2BlaXIMHD2bJkiWkpqbesq5scQUEBJCRkUFiYiJpaWnMnz+fzz77rFA/e3t7BgwYwP79+9myZQvDhw+nR48eFvVvf69Pnz7GfYcOHWLTpk289tpr9OvXD29vb/Lz8+nbty8hISG89NJLxMfHc+DAAWN3cp8+fShTpgxdunRhy5Yt/Pvf/yY5OZnhw4fzn//8556e93//+x9hYWEkJydz8uRJUlJS2L17t/E7b926NWfOnGHmzJmkpaXxz3/+k6+//vqu5vDw8MDT05P333+fEydO8O233zJq1CiLPmXLlsXBwYF169bx66+/kpWVBcCUKVOIjo5m/vz5HDt2jIMHDxIfH88777xzT88rIiIiIiIi8qhQQlhE/rC3336bli1b0qlTJ5566ilatGhBo0aNLPrEx8fTv39/Ro8eTfXq1enatSu7d+82dhXn5+fz6quvEhQURPv27QkMDGThwoV/KK5p06YRGRlJdHS0Me7atWupXLkyABUqVGDKlCmMHz8eb29vwsLC7mr8p556Ch8fH0JCQowdu/eqc+fOjBw5krCwMOrXr8+2bduIjIws1K9atWp0796dZ599lmeeeYa6devecZ0cHR1Zv349586do0mTJjz//PO0a9eO2NhYAKZPn87JkydZtGgRcL327/vvv8/EiRPZv38/jo6OfPfdd/j5+dG9e3eCgoIYNGgQV65cuecdw9bW1pw9e5b+/fsTGBhIjx49+Pvf/268lC0oKIiFCxfyz3/+k3r16rFr1y7Cw8Pvag4rKysSExPZu3cvtWvXZuTIkbz99tsWfWxsbJg/fz6LFi2ifPnydOnSBbie7F+8eDHx8fHUqVOHVq1akZCQYHx2RERERERERP6sTObfF2kUEZFiycnJoUKFCsTHx9O9e/cHPl9UVBSrV6++69IJUjKys7Nxc3MjKyvrvpfaEBEREREREfm94n4PVQ1hEZG7VFBQwG+//cbs2bNxd3enc+fOJR2SiIiIiIiIiEixqGSEiEgxtW7dmhEjRpCRkYG3tzcrVqzgww8/xMbm0f63tRtxl/QYIiIiIiIiIlLylBAWEblL/v7+mM1mTp06Rbt27R7avFFRUbctF5GcnIzJZOLChQsPLSYRERERERER+XN5tLe1iYiI3OTq1avY2tqWdBgi8gjyH7+2pEP4U0iP6VDSIYiIiIhICdMOYRGRIly6dIn+/fvj7OyMj48Ps2fPtmjPzc0lPDycChUq4OTkxJNPPklycrLRfvLkSTp16oSHhwdOTk7UqlWLr776Cvi/nbzr16+nQYMGODg40LZtW06fPs3XX39NUFAQrq6u9O7dm8uXLxtjFhQUEB0dTeXKlXFwcKBevXr861//AiA9PZ02bdoA4OHhgclkIjQ01OLesWPHUrp0acqVK0dUVJTRNnDgQDp27GjxfHl5eZQtW5YPPvigyPXx9/dnxowZDBw4EBcXF/z8/Hj//fct+owbN47AwEAcHR2pUqUKkZGR5OXlGe1RUVHUr1+fRYsW4evri6OjIz169CArK8voExoaSteuXZk+fTrly5enevXqABw8eJC2bdvi4OCAp6cnQ4cOJScnx1hfW1tbtmzZYowzc+ZMypYty6+//grAqVOn6NGjB+7u7pQuXZouXbqQnp5eaN5Zs2bh4+ODp6cnr776qkX8IiIiIiIiIn9GSgiLiBRhzJgxbN68mc8//5wNGzaQnJzM999/b7SHhYWxfft2EhMTOXDgAC+88ALt27fn+PHjALz66qvk5uby3XffcfDgQd566y2cnZ0t5oiKiiI2NpZt27YZCcq5c+eyYsUK1q5dy4YNG1iwYIHRPzo6mqVLl/Lee+9x+PBhRo4cSd++fdm8eTO+vr58+umnABw9epTMzEzmzZtn3LtkyRKcnJzYuXMnM2fOZOrUqXzzzTcADB48mHXr1pGZmWn0X7NmDZcvX6Znz563XKPZs2fTuHFjfvjhB1555RX+8Y9/cPToUaPdxcWFhIQEjhw5wrx584iLi2POnDkWY5w4cYKPP/6YL7/8knXr1hlj3SwpKYmjR4/yzTffsGbNGi5dukRISAgeHh7s3r2bTz75hI0bNxIWFgb8X73jfv36kZWVxQ8//EBkZCSLFy/G29ubvLw8QkJCcHFxYcuWLaSkpODs7Ez79u25evWqMe+mTZtIS0tj06ZNLFmyhISEBBISEm65HiIiIiIiIiJ/Biaz2Wwu6SBERB4lOTk5eHp68tFHH/HCCy8AcO7cOSpWrMjQoUMZNWoUVapUISMjg/Llyxv3PfXUUzzxxBPMmDGDunXr8txzzzF58uRC4ycnJ9OmTRs2btxo1CCOiYkhIiKCtLQ0qlSpAsCwYcNIT09n3bp15ObmUrp0aTZu3EizZs2MsQYPHszly5dZsWKFMe758+dxd3c3+rRu3Zr8/HyLHbNPPPEEbdu2JSYmBoBatWoxYMAAxo4dC0Dnzp3x9PQkPj7eGKN+/frMnTsXuL5DuGXLlixbtgwAs9lMuXLlmDJlCsOGDStyXWfNmkViYiJ79uwBrifE33zzTU6ePEmFChUAWLduHR06dOC///0v5cqVIzQ0lHXr1pGRkWGUioiLi2PcuHGcOnUKJycnAL766is6derEzz//jLe3N1evXuXJJ58kMDCQQ4cOERwcbOxg/uijj3jzzTdJTU3FZDIB10tRuLu7s3r1ap555hlCQ0NJTk4mLS0Na2trAHr06IGVlRWJiYlFPl9ubi65ubnGeXZ2Nr6+vmRlZeHq6lrkPSJy/6hkRPGoZISIiIjI4ys7Oxs3N7c7fg9VDWERkd9JS0szEoo3lC5d2qJcQX5+PoGBgRb35ebm4unpCcDw4cP5xz/+wYYNG3jqqad47rnnqFu3rkX/m8+9vb2N0go3X9u1axdwfSft5cuXefrppy3GuHr1Kg0aNLjjM/1+bh8fH06fPm2cDx48mPfff5+xY8fy66+/8vXXX/Ptt98We0yTyUS5cuUsxly5ciXz588nLS2NnJwcrl27VugvJD8/PyMZDNCsWTMKCgo4evQo5cqVA6BOnToWdYNTU1OpV6+ekQwGCA4ONu7z9vbG1taW5cuXU7duXSpVqmSxM3n//v2cOHECFxcXi1iuXLlCWlqacV6rVi0jGXxjzQ4ePHjL9YiOjmbKlCm3XjARERERERGRR4ASwiIidyknJwdra2v27t1rkTAEjLIQgwcPJiQkxCj9EB0dzezZs3nttdeMvqVKlTJ+NplMFuc3rhUUFBhzAqxdu9YigQpgZ2d3x5hvNzZA//79GT9+PNu3b2fbtm1UrlyZli1b3vOY27dvp0+fPkyZMoWQkBDc3NxITEwsVIu5OG5O/N6Nbdu2Add3d587d84YJycnh0aNGrF8+fJC93h5eRk/32nNfi8iIoJRo0YZ5zd2CIuIiIiIiIg8SpQQFhH5napVq1KqVCl27tyJn58fAOfPn+fYsWO0atWKBg0akJ+fz+nTp2+bNPX19WXYsGEMGzaMiIgI4uLiLBLCd6NmzZrY2dmRkZFBq1atiuxzYxdtfn7+XY/v6elJ165diY+PZ/v27bz00kv3FOcN27Zto1KlSkyYMMG4dvLkyUL9MjIy+Pnnn43SGzt27MDKysrYjV2UoKAgEhISuHTpkpHkTUlJsbgvLS2NkSNHEhcXx8qVKxkwYAAbN27EysqKhg0bsnLlSsqWLXtfSznY2dkVKzkvIiIiIiIiUpKUEBYR+R1nZ2cGDRrEmDFj8PT0pGzZskyYMAErq+vv4QwMDKRPnz7079+f2bNn06BBA86cOUNSUhJ169alQ4cOjBgxgr///e8EBgZy/vx5Nm3aRFBQ0D3H5OLiQnh4OCNHjqSgoIAWLVqQlZVFSkoKrq6uDBgwgEqVKmEymVizZg3PPvssDg4OhV5kdzuDBw+mY8eO5OfnM2DAgHuOFSAgIICMjAwSExNp0qQJa9eu5bPPPivUz97engEDBjBr1iyys7MZPnw4PXr0MMpFFKVPnz5MnjyZAQMGEBUVxZkzZ3jttdfo168f3t7e5Ofn07dvX0JCQnjppZdo3749derUYfbs2YwZM4Y+ffrw9ttv06VLF6ZOnUrFihU5efIkq1atYuzYsVSsWPEPPbuIlAzVxhURERERKR6rkg5ARORR9Pbbb9OyZUs6derEU089RYsWLWjUqJHRHh8fT//+/Rk9ejTVq1ena9eu7N6929hRnJ+fz6uvvkpQUBDt27cnMDCQhQsX/qGYpk2bRmRkJNHR0ca4a9eupXLlygBUqFCBKVOmMH78eLy9vQkLC7ur8Z966il8fHwICQmxeFnevejcuTMjR44kLCyM+vXrs23bNiIjIwv1q1atGt27d+fZZ5/lmWeeoW7dundcJ0dHR9avX8+5c+do0qQJzz//PO3atSM2NhaA6dOnc/LkSRYtWgRcr/37/vvvM3HiRPbv34+joyPfffcdfn5+dO/enaCgIAYNGsSVK1f08jcRERERERF57JnMZrO5pIMQEZGSl5OTQ4UKFYiPj6d79+4PfL6oqChWr17Nvn37HvhcJaG4b3cVERERERERuR+K+z1UJSNERP7iCgoK+O2335g9ezbu7u507ty5pEMSERERERERkQdECWERkb+4jIwMKleuTMWKFUlISMDGRn81iIiIiIiIiDyuVENYROQxkZ6ejslkuqsSDFFRUXTt2hWz2cypU6do167dgwuwiLkfRrmI4qxLcnIyJpOJCxcuPPB4REREREREREqSEsIiIn9CoaGhdO3a1eKar68vmZmZ1K5du9jjhIeHk5SUdJ+jK8zf3x+TycSOHTssro8YMYLWrVs/0LnvZV1EREREREREHldKCIuIPCasra0pV67cXZV8cHZ2xtPT8wFG9X/s7e0ZN27cQ5nrZveyLiIiIiIiIiKPKyWERURKQEFBATNnzqRatWrY2dnh5+fH9OnTjfaDBw/Stm1bHBwc8PT0ZOjQoeTk5ADXSy0sWbKEzz//HJPJhMlkIjk5uVBphBtlEJKSkmjcuDGOjo40b96co0ePGvNERUVRv3594/zGzuNZs2bh4+ODp6cnr776Knl5eUaf3NxcwsPDqVChAk5OTjz55JMkJyff8ZmHDh3Kjh07+Oqrr+56vd59912qVq2Kra0t1atXZ9myZUbbwIEDqVu3Lrm5uQBcvXqVBg0a0L9/f6DokhFfffUVgYGBODg40KZNG9LT0wvNuXXrVlq2bImDgwO+vr4MHz6cS5cu3XXsIiIiIiIiIo8SJYRFREpAREQEMTExREZGcuTIEVasWIG3tzcAly5dIiQkBA8PD3bv3s0nn3zCxo0bCQsLA66XeejRowft27cnMzOTzMxMmjdvfsu5JkyYwOzZs9mzZw82NjYMHDjwtrFt2rSJtLQ0Nm3axJIlS0hISCAhIcFoDwsLY/v27SQmJnLgwAFeeOEF2rdvz/Hjx287buXKlRk2bBgREREUFBQUc6Xgs88+4/XXX2f06NEcOnSIl19+mZdeeolNmzYBMH/+fC5dusT48eON571w4QKxsbFFjnfq1Cm6d+9Op06d2LdvH4MHDzbuvSEtLY327dvz3HPPceDAAVauXMnWrVuN34GIiIiIiIjIn5X+/6yIyEN28eJF5s2bR2xsLAMGDACgatWqtGjRAoAVK1Zw5coVli5dipOTEwCxsbF06tSJt956C29vbxwcHMjNzaVcuXJ3nG/69Om0atUKgPHjx9OhQweuXLmCvb19kf09PDyIjY3F2tqaGjVq0KFDB5KSkhgyZAgZGRnEx8eTkZFB+fLlgesJ6nXr1hEfH8+MGTNuG8vEiROJj49n+fLl9OvXr1jrNWvWLEJDQ3nllVcAGDVqFDt27GDWrFm0adMGZ2dnPvroI1q1aoWLiwtz585l06ZNuLq6Fjnejd3Gs2fPBqB69eocPHiQt956y+gTHR1Nnz59GDFiBAABAQHMnz+fVq1a8e677xa5drm5ucYuZYDs7OxiPZ+IiIiIiIjIw6QdwiIiD1lqaiq5ubm0a9fulu316tUzksEAwcHBFBQUWJR7KK66desaP/v4+ABw+vTpW/avVasW1tbWFvfc6H/w4EHy8/MJDAzE2dnZODZv3kxaWtodY/Hy8iI8PJxJkyZx9epVi7YtW7ZYjLl8+XLg+noEBwdb9A0ODiY1NdU4b9asGeHh4UybNo3Ro0cbyfWipKam8uSTT1pca9asmcX5/v37SUhIsIgnJCSEgoIC/v3vfxc5bnR0NG5ubsbh6+t7x/UQERERERERedi0Q1hE5CFzcHB4qPOVKlXK+NlkMgHctmTDzf1v3HOjf05ODtbW1uzdu9ciaQzXX1BXHKNGjWLhwoUsXLjQ4nrjxo0t6vzeKKFRHAUFBaSkpGBtbc2JEyeKfd+t5OTk8PLLLzN8+PBCbX5+fkXeExERwahRo4zz7OxsJYVFRERERETkkaMdwiIiD1lAQAAODg4kJSUV2R4UFMT+/fstXmCWkpKClZUV1atXB8DW1pb8/PyHEu/NGjRoQH5+PqdPn6ZatWoWR3HKV8D1xHFkZCTTp0/n4sWLxnUHBweL8VxcXIDr65GSkmIxRkpKCjVr1jTO3377bX788Uc2b95slK+4laCgIHbt2mVxbceOHRbnDRs25MiRI4WesVq1atja2hY5rp2dHa6urhaHiIiIiIiIyKNGCWERkYfM3t6ecePGMXbsWJYuXUpaWho7duzggw8+AKBPnz7Y29szYMAADh06xKZNm3jttdfo16+fsWvW39+fAwcOcPToUX777Tfy8vIeSuyBgYH06dOH/v37s2rVKv7973+za9cuoqOjWbt2bbHHGTp0KG5ubqxYseKOfceMGUNCQgLvvvsux48f55133mHVqlWEh4cD8MMPPzBp0iQWL15McHAw77zzDq+//jo//fRTkeMNGzaM48ePM2bMGI4ePcqKFSssXpoHMG7cOLZt20ZYWBj79u3j+PHjfP7553qpnIiIiIiIiPzpKSEsIlICIiMjGT16NJMmTSIoKIiePXsadXodHR1Zv349586do0mTJjz//PO0a9eO2NhY4/4hQ4ZQvXp1GjdujJeXV6EdtA9SfHw8/fv3Z/To0VSvXp2uXbuye/fuW5ZSKEqpUqWYNm0aV65cuWPfrl27Mm/ePGbNmkWtWrVYtGgR8fHxtG7dmitXrtC3b19CQ0Pp1KkTcD3Z3KZNG/r161fkLmo/Pz8+/fRTVq9eTb169XjvvfcKvQyvbt26bN68mWPHjtGyZUsaNGjApEmTjBfpiYiIiIiIiPxZmcxms7mkgxAREXncZGdn4+bmRlZWlspHiIiIiIiIyANX3O+h2iEsIiIiIiIiIiIi8hehhLCIiIiIiIiIiIjIX4QSwiIi8qeRnp6OyWRi3759xb4nKiqK+vXrP7CYRERERERERP5MVENYREQeSaGhoVy4cIHVq1cb1/Lz8zlz5gxlypTBxsamWOPk5OSQm5uLp6fnA4q0aKohLCIiIiIiIg9Tcb+HFu/btIiIyCPA2tqacuXK3dU9zs7OODs7P6CIRET+XPzHry123/SYDg8wEhEREREpKSoZISIiD0xBQQEzZ86kWrVq2NnZ4efnx/Tp0wE4ePAgbdu2xcHBAU9PT4YOHUpOTg5wvczDkiVL+PzzzzGZTJhMJpKTkwuVjEhOTsZkMpGUlETjxo1xdHSkefPmHD161Ijh9yUjQkND6dq1K7NmzcLHxwdPT09effVV8vLyjD65ubmEh4dToUIFnJycePLJJ0lOTn7g6yUiIiIiIiLyoCkhLCIiD0xERAQxMTFERkZy5MgRVqxYgbe3N5cuXSIkJAQPDw92797NJ598wsaNGwkLCwMgPDycHj160L59ezIzM8nMzKR58+a3nGfChAnMnj2bPXv2YGNjw8CBA28b16ZNm0hLS2PTpk0sWbKEhIQEEhISjPawsDC2b99OYmIiBw4c4IUXXqB9+/YcP378vqyLiIiIiIiISElRyQgREXkgLl68yLx584iNjWXAgAEAVK1alRYtWhAXF8eVK1dYunQpTk5OAMTGxtKpUyfeeustvL29cXBwIDc3t1glIqZPn06rVq0AGD9+PB06dODKlSvY29sX2d/Dw4PY2Fisra2pUaMGHTp0ICkpiSFDhpCRkUF8fDwZGRmUL18euJ6gXrduHfHx8cyYMaPIMXNzc8nNzTXOs7Ozi79YIiIiIiIiIg+JdgiLiMgDkZqaSm5uLu3atSuyrV69ekYyGCA4OJiCggKLcg/FVbduXeNnHx8fAE6fPn3L/rVq1cLa2trinhv9Dx48SH5+PoGBgUb9YWdnZzZv3kxaWtotx4yOjsbNzc04fH197/o5RERERERERB407RAWEZEHwsHB4aHNVapUKeNnk8kEXK9fXJz+N+650T8nJwdra2v27t1rkTQGbvtyuoiICEaNGmWcZ2dnKyksIiIiIiIijxztEBYRkQciICAABwcHkpKSCrUFBQWxf/9+Ll26ZFxLSUnBysqK6tWrA2Bra0t+fv5Di/eGBg0akJ+fz+nTp6lWrZrFcbvyFXZ2dri6ulocIiIiIiIiIo8a7RAWEZEHwt7ennHjxjF27FhsbW0JDg7mzJkzHD58mD59+jB58mQGDBhAVFQUZ86c4bXXXqNfv354e3sD4O/vz/r16zl69Cienp64ubk9lLgDAwPp06cP/fv3Z/bs2TRo0IAzZ86QlJRE3bp16dChw0OJQ0TkQUiP0Z9hIiIiIn91SgiLiMgDExkZiY2NDZMmTeLnn3/Gx8eHYcOG4ejoyPr163n99ddp0qQJjo6OPPfcc7zzzjvGvUOGDCE5OZnGjRuTk5PDpk2b8Pf3fyhxx8fH8+abbzJ69Gj++9//UqZMGZo2bUrHjh0fyvwiIiIiIiIiD4rJbDabSzoIERGRx012djZubm5kZWWpfISIiIiIiIg8cMX9HqoawiIiIiIiIiIiIiJ/EUoIi4iIiIiIiIiIiPxFKCEsIiKPjPT0dEwmE/v27bttv6ioKOrXr1+sMZOTkzGZTFy4cOEPxyciIiIiIiLyZ6cawiIiUiJCQ0O5cOECq1evNq7l5+dz5swZypQpg43Nrd97mpOTQ25uLp6ennec5+rVq5w7dw5vb29MJtP9CL1YVENYREREREREHqbifg+99bdtERGRh8za2ppy5crdst1sNpOfn4+zszPOzs7FGtPW1va2Y4qI/JX4j19b0iE8ttJjOpR0CCIiIiLFopIRIiJyzwoKCpg5cybVqlXDzs4OPz8/pk+fDsCpU6fo0aMH7u7ulC5dmi5dupCeng5cL/mwZMkSPv/8c0wmEyaTieTk5EIlI26Ue/j6669p1KgRdnZ2bN26tVDJiBtj3Hz4+/tbjHGjZERCQgLu7u6sX7+eoKAgnJ2dad++PZmZmRbPtnjxYoKCgrC3t6dGjRosXLjwQS6liIiIiIiIyEOhHcIiInLPIiIiiIuLY86cObRo0YLMzEx+/PFH8vLyCAkJoVmzZmzZsgUbGxvefPNN2rdvz4EDBwgPDyc1NZXs7Gzi4+MBKF26ND///HOR84wfP55Zs2ZRpUoVPDw8SE5Otmi/OZl76dIl2rdvT7NmzW4Z9+XLl5k1axbLli3DysqKvn37Eh4ezvLlywFYvnw5kyZNIjY2lgYNGvDDDz8wZMgQnJycGDBgQJFj5ubmkpuba5xnZ2cXaw1FREREREREHiYlhEVE5J5cvHiRefPmERsbayRJq1atSosWLfjoo48oKChg8eLFRt3e+Ph43N3dSU5O5plnnsHBwYHc3NxilXOYOnUqTz/99C3bb4xhNpt57rnncHNzY9GiRbfsn5eXx3vvvUfVqlUBCAsLY+rUqUb75MmTmT17Nt27dwegcuXKHDlyhEWLFt0yIRwdHc2UKVPu+CwiIiIiIiIiJUkJYRERuSepqank5ubSrl27Qm379+/nxIkTuLi4WFy/cuUKaWlpdz1X48aNi9XvjTfeYPv27ezZswcHB4db9nN0dDSSwQA+Pj6cPn0auL7DOC0tjUGDBjFkyBCjz7Vr13Bzc7vlmBEREYwaNco4z87OxtfXt1hxi4iIiIiIiDwsSgiLiMg9uV3CNScnh0aNGhklGG7m5eV113M5OTndsc9HH33EnDlzSE5OpkKFCrftW6pUKYtzk8mE2WwGrscOEBcXx5NPPmnRz9ra+pZj2tnZYWdnd8c4RUREREREREqSEsIiInJPAgICcHBwICkpicGDB1u0NWzYkJUrV1K2bFlcXV2LvN/W1pb8/Pz7Esv27dsZPHgwixYtomnTpn9oLG9vb8qXL89PP/1Enz597kt8IiIiIiIiIo8KJYRFROSe2NvbM27cOMaOHYutrS3BwcGcOXOGw4cP06dPH95++226dOnC1KlTqVixIidPnmTVqlWMHTuWihUr4u/vz/r16zl69Cienp63LcdwO7/88gvdunXjxRdfJCQkhF9++QW4vpv3XnYjA0yZMoXhw4fj5uZG+/btyc3NZc+ePZw/f96iLISIyJ9NekyHkg5BREREREqYVUkHICIif16RkZGMHj2aSZMmERQURM+ePTl9+jSOjo589913+Pn50b17d4KCghg0aBBXrlwxdgwPGTKE6tWr07hxY7y8vEhJSbmnGH788Ud+/fVXlixZgo+Pj3E0adLknp9r8ODBLF68mPj4eOrUqUOrVq1ISEigcuXK9zymiIiIiIiIyKPAZL5RNFFERETum+zsbNzc3MjKyrpl2QwRERERERGR+6W430O1Q1hERERERERERETkL0IJYREREREREREREZG/CCWERUTkoQoNDaVr164lHYYhOTkZk8nEhQsXAEhISMDd3b1EYxIRERERERF5UJQQFhGRv7TmzZuTmZmJm5tbSYciIiIiIiIi8sDZlHQAIiIiJcnW1pZy5cqVdBgif1r+49eWdAhyF9JjOpR0CCIiIiJSwrRDWERE7lpBQQEzZ86kWrVq2NnZ4efnx/Tp0wE4deoUPXr0wN3dndKlS9OlSxfS09NvO1Z0dDSVK1fGwcGBevXq8a9//cuiz+HDh+nYsSOurq64uLjQsmVL0tLSjPunTp1KxYoVsbOzo379+qxbtw4As9nMU089RUhICGazGYBz585RsWJFJk2aBBQuGXHD6tWrCQgIwN7enpCQEE6dOnU/lk5ERERERESkRCkhLCIidy0iIoKYmBgiIyM5cuQIK1aswNvbm7y8PEJCQnBxcWHLli2kpKTg7OxM+/btuXr1apFjRUdHs3TpUt577z0OHz7MyJEj6du3L5s3bwbgv//9L3/729+ws7Pj22+/Ze/evQwcOJBr164BMG/ePGbPns2sWbM4cOAAISEhdO7cmePHj2MymViyZAm7d+9m/vz5AAwbNowKFSoYCeGiXL58menTp7N06VJSUlK4cOECL7744m3XJDc3l+zsbItDRERERERE5FGjkhEiInJXLl68yLx584iNjWXAgAEAVK1alRYtWvDRRx9RUFDA4sWLMZlMAMTHx+Pu7k5ycjLPPPOMxVi5ubnMmDGDjRs30qxZMwCqVKnC1q1bWbRoEa1ateKf//wnbm5uJCYmUqpUKQACAwONMWbNmsW4ceOMhO1bb73Fpk2bmDt3Lv/85z+pUKECixYton///vzyyy989dVX/PDDD9jY3PqvwLy8PGJjY3nyyScBWLJkCUFBQezatYsnnniiyHuio6OZMmXKvSypiIiIiIiIyEOjhLCIiNyV1NRUcnNzadeuXaG2/fv3c+LECVxcXCyuX7lyxSjxcLMTJ05w+fJlnn76aYvrV69epUGDBgDs27ePli1bGsngm2VnZ/Pzzz8THBxscT04OJj9+/cb5y+88AKfffYZMTExvPvuuwQEBNz2GW1sbGjSpIlxXqNGDdzd3UlNTb1lQjgiIoJRo0ZZxObr63vbeUREREREREQeNiWERUTkrjg4ONyyLScnh0aNGrF8+fJCbV5eXkX2B1i7di0VKlSwaLOzs7vjfMV1+fJl9u7di7W1NcePH//D4xXFzs7OiFlERERERETkUaUawiIiclcCAgJwcHAgKSmpUFvDhg05fvw4ZcuWpVq1ahaHm5tbof41a9bEzs6OjIyMQv1v7K6tW7cuW7ZsIS8vr9D9rq6ulC9fnpSUFIvrKSkp1KxZ0zgfPXo0VlZWfP3118yfP59vv/32ts947do19uzZY5wfPXqUCxcuEBQUdPvFEREREREREXnEaYewiIjcFXt7e8aNG8fYsWOxtbUlODiYM2fOcPjwYfr06cPbb79Nly5dmDp1KhUrVuTkyZOsWrWKsWPHUrFiRYuxXFxcCA8PZ+TIkRQUFNCiRQuysrJISUnB1dWVAQMGEBYWxoIFC3jxxReJiIjAzc2NHTt28MQTT1C9enXGjBnD5MmTqVq1KvXr1yc+Pp59+/YZu5TXrl3Lhx9+yPbt22nYsCFjxoxhwIABHDhwAA8PjyKfsVSpUrz22mvMnz8fGxsbwsLCaNq06S3LRYj8laXHdCjpEERERERE5C4oISwiInctMjISGxsbJk2axM8//4yPjw/Dhg3D0dGR7777jnHjxtG9e3cuXrxIhQoVaNeuHa6urkWONW3aNLy8vIiOjuann37C3d2dhg0b8sYbbwDg6enJt99+y5gxY2jVqhXW1tbUr1/fqBs8fPhwsrKyGD16NKdPn6ZmzZp88cUXBAQEcObMGQYNGkRUVBQNGzYEYMqUKWzYsIFhw4axcuXKImNydHRk3Lhx9O7dm//+97+0bNmSDz744AGspIiIiIiIiMjDZTKbzeaSDkJERORxk52djZubG1lZWbdMhouIiIiIiIjcL8X9HqoawiIiIiIiIiIiIiJ/EUoIi4iIiIiIiIiIiPxFKCEsIvIn0bp1a0aMGFGiMSQnJ2Mymbhw4QIACQkJuLu7l2hMd3L58mWee+45XF1dLWIXERERERER+SvSS+VERKTYmjdvTmZmJm5ubiUdSrEtWbKELVu2sG3bNsqUKfOnil1ERERERETkflNCWETkEXf16lVsbW1LOgwAbG1tKVeuXEmHARR/XdLS0ggKCqJ27doPISoRkUeb//i1JR3CIy09pkNJhyAiIiLywKlkhIjIA1BQUMDMmTOpVq0adnZ2+Pn5MX36dADGjRtHYGAgjo6OVKlShcjISPLy8ox7o6KiqF+/PosXL6Zy5crY29sbbdeuXSMsLAw3NzfKlClDZGQkZrPZaD9//jz9+/fHw8MDR0dH/v73v3P8+HEAzpw5Q7ly5ZgxY4bRf9u2bdja2pKUlER6ejpWVlbs2bPH4lnmzp1LpUqVKCgoKFQy4obVq1cTEBCAvb09ISEhnDp1ymgLDQ2la9euFv1HjBhB69atjfPWrVsTFhZ222fz9/dn2rRp9O/fH1dXV4YOHQrAp59+Sq1atbCzs8Pf35/Zs2dbjDt79my+++47TCaTMWdubi7h4eFUqFABJycnnnzySZKTk437bpTCWL9+PUFBQTg7O9O+fXsyMzML/a5FRERERERE/kyUEBYReQAiIiKIiYkhMjKSI0eOsGLFCry9vQFwcXEhISGBI0eOMG/ePOLi4pgzZ47F/SdOnODTTz9l1apV7Nu3z7i+ZMkSbGxs2LVrF/PmzeOdd95h8eLFRntoaCh79uzhiy++YPv27ZjNZp599lny8vLw8vLiww8/JCoqij179nDx4kX69etHWFgY7dq1w9/fn6eeeor4+HiLWOLj4wkNDcXKqui/Mi5fvsz06dNZunQpKSkpXLhwgRdffPGu1+xOzwYwa9Ys6tWrxw8//EBkZCR79+6lR48evPjiixw8eJCoqCgiIyNJSEgAYNWqVQwZMoRmzZqRmZnJqlWrAAgLC2P79u0kJiZy4MABXnjhBdq3b28kz28816xZs1i2bBnfffcdGRkZhIeH3zL+3NxcsrOzLQ4RERERERGRR41KRoiI3GcXL15k3rx5xMbGMmDAAACqVq1KixYtAJg4caLR19/fn/DwcBITExk7dqxx/erVqyxduhQvLy+LsX19fZkzZw4mk4nq1atz8OBB5syZw5AhQzh+/DhffPEFKSkpNG/eHIDly5fj6+vL6tWreeGFF3j22WcZMmQIffr0oXHjxjg5OREdHW2MP3jwYIYNG8Y777yDnZ0d33//PQcPHuTzzz+/5fPm5eURGxvLk08+CVxP7AYFBbFr1y6eeOKJYq/b7Z7thrZt2zJ69GjjvE+fPrRr147IyEgAAgMDOXLkCG+//TahoaGULl0aR0dHi1IXGRkZxMfHk5GRQfny5QEIDw9n3bp1xMfHGzuo8/LyeO+996hatSpwPYk8derUW8YfHR3NlClTiv28IiIiIiIiIiVBO4RFRO6z1NRUcnNzadeuXZHtK1euJDg4mHLlyuHs7MzEiRPJyMiw6FOpUqVCyWCApk2bYjKZjPNmzZpx/Phx8vPzSU1NxcbGxkjMAnh6elK9enVSU1ONa7NmzeLatWt88sknLF++HDs7O6Ota9euWFtb89lnnwHXSye0adMGf3//Wz6vjY0NTZo0Mc5r1KiBu7u7xZzFcbtnu6Fx48YW96SmphIcHGxxLTg4uNB9Nzt48CD5+fkEBgbi7OxsHJs3byYtLc3o5+joaCSDAXx8fDh9+vQt44+IiCArK8s4bi6bISIiIiIiIvKo0A5hEZH7zMHB4ZZt27dvp0+fPkyZMoWQkBDc3NxITEy0qHsL4OTk9MDiS0tL4+eff6agoID09HTq1KljtNna2tK/f3/i4+Pp3r07K1asYN68eX9oPisrK4tawIBFzeS7cT/WJScnB2tra/bu3Yu1tbVFm7Ozs/FzqVKlLNpMJlOh57iZnZ2dRXJdRERERERE5FGkhLCIyH0WEBCAg4MDSUlJDB482KJt27ZtVKpUiQkTJhjXTp48Weyxd+7caXG+Y8cOAgICsLa2JigoiGvXrrFz506jZMTZs2c5evQoNWvWBK6Xoujbty89e/akevXqDB48mIMHD1K2bFljzMGDB1O7dm0WLlzItWvX6N69+21junbtGnv27DHKQxw9epQLFy4QFBQEgJeXF4cOHbK4Z9++fYUSrrd7tlsJCgoiJSXF4lpKSgqBgYG3vK9Bgwbk5+dz+vRpWrZsedtnExEREREREXncKCEsInKf2dvbM27cOMaOHYutrS3BwcGcOXOGw4cPExAQQEZGBomJiTRp0oS1a9ca5RmKIyMjg1GjRvHyyy/z/fffs2DBAmN3cUBAAF26dGHIkCEsWrQIFxcXxo8fT4UKFejSpQsAEyZMICsri/nz5+Ps7MxXX33FwIEDWbNmjTFHUFAQTZs2Zdy4cQwcOPC2O57h+k7a1157jfnz52NjY0NYWBhNmzY1EsRt27bl7bffZunSpTRr1oyPPvqIQ4cO0aBBg2I/262MHj2aJk2aMG3aNHr27Mn27duJjY1l4cKFt7wnMDCQPn360L9/f2bPnk2DBg04c+YMSUlJ1K1blw4dOtx2ThGRP7P0GP0ZJyIiIvJXpxrCIiIPQGRkJKNHj2bSpEkEBQXRs2dPTp8+TefOnRk5ciRhYWHUr1+fbdu2GS9EK47+/fvzv//9jyeeeIJXX32V119/naFDhxrt8fHxNGrUiI4dO9KsWTPMZjNfffUVpUqVIjk5mblz57Js2TJcXV2xsrJi2bJlbNmyhXfffddinkGDBnH16lUGDhx4x5gcHR0ZN24cvXv3Jjg4GGdnZ1auXGm0h4SEEBkZydixY2nSpAkXL16kf//+d/1sRWnYsCEff/wxiYmJ1K5dm0mTJjF16lRCQ0Nve198fDz9+/dn9OjRVK9ena5du7J79278/Pzu+LwiIiIiIiIif2Ym8+0KIoqIyF/StGnT+OSTTzhw4MBDma9169bUr1+fuXPnPpT5Hobs7Gzc3NzIysrC1dW1pMMRERERERGRx1xxv4dqh7CIiBhycnI4dOgQsbGxvPbaayUdjoiIiIiIiIjcZ0oIi4iIISwsjEaNGtG6detilYsQERERERERkT8XJYRF5KFq3bo1I0aMKOkwSkxCQgLu7u4lHQYAJpOJ1atXW1xLSEggNzeXlStXYm1t/dBiuVHf+I/cbzKZuHDhwi37PEprLyIiIiIiIlJSlBAWEXmIevbsybFjx0o6jMdO8+bNyczMxM3N7b6PnZ6efseX1ImIiIiIiIj8WdiUdAAi8tdw9epVbG1tSzqMEufg4ICDg0NJh/HIyMvLo1SpUn94HFtbW8qVK3cfIvo/y5cvp2nTpsZOabPZzMKFC+nduzceHh73dS6RPzP/8WtLOgS5C+kxHUo6BBEREREpYdohLCJFKigoYObMmVSrVg07Ozv8/PyYPn260T5u3DgCAwNxdHSkSpUqREZGkpeXZ7RHRUVRv359Fi9eTOXKlbG3tzfarl27RlhYGG5ubpQpU4bIyEjMZrPRvmzZMho3boyLiwvlypWjd+/enD592mi/UR5g/fr1NGjQAAcHB9q2bcvp06f5+uuvCQoKwtXVld69e3P58mXjvnXr1tGiRQvc3d3x9PSkY8eOpKWlWcRsMpkKHQkJCcaaREdHU7lyZRwcHKhXrx7/+te/CsW1du1a6tati729PU2bNuXQoUNGn9+XLbixTsuWLcPf3x83NzdefPFFLl68aPG7uN28RcnMzKRDhw44ODhQuXJlVqxYgb+//y3LMhRVcmHfvn2YTCbS09ONaykpKbRu3RpHR0c8PDwICQnh/PnzAEWOX79+faKiooxzk8nEu+++S+fOnXFycjI+U++++y5Vq1bF1taW6tWrs2zZMotxTCYTixcvplu3bjg6OhIQEMAXX3xx2/gTEhLw8/PD0dGRbt26cfbs2ULP/fnnn9OwYUPs7e2pUqUKU6ZM4dq1awBUrlyZAQMG8N577/Gf//yH9u3b89///hc7O7tbLbuIiIiIiIjII08JYREpUkREBDExMURGRnLkyBFWrFiBt7e30e7i4kJCQgJHjhxh3rx5xMXFMWfOHIsxTpw4waeffsqqVavYt2+fcX3JkiXY2Niwa9cu5s2bxzvvvMPixYuN9ry8PKZNm8b+/ftZvXr1Lf/LflRUFLGxsWzbto1Tp07Ro0cP5s6dy4oVK1i7di0bNmxgwYIFRv9Lly4xatQo9uzZQ1JSElZWVnTr1o2CggIAwsPDyczMNI5Zs2bh6OhI48aNAYiOjmbp0qW89957HD58mJEjR9K3b182b95sEdeYMWOYPXs2u3fvxsvLi06dOlkky38vLS2N1atXs2bNGtasWcPmzZuJiYkx2os778369+/Pzz//THJyMp9++invv/++RVL9Xuzbt4927dpRs2ZNtm/fztatW+nUqRP5+fl3NU5UVBTdunXj4MGDDBw4kM8++4zXX3+d0aNHc+jQIV5++WVeeuklNm3aZHHflClT6NGjBwcOHODZZ5+lT58+nDt3rsg5du7cyaBBgwgLC2Pfvn20adOGN99806LPli1b6N+/P6+//jpHjhxh0aJFJCQkGEnq5s2bs2nTJrZv305ycjIjRoxgxowZODo6Fjlnbm4u2dnZFoeIiIiIiIjIo0YlI0SkkIsXLzJv3jxiY2MZMGAAAFWrVqVFixZGn4kTJxo/+/v7Ex4eTmJiImPHjjWuX716laVLl+Ll5WUxvq+vL3PmzMFkMlG9enUOHjzInDlzGDJkCAADBw40+lapUoX58+fTpEkTcnJycHZ2NtrefPNNgoODARg0aBARERGkpaVRpUoVAJ5//nk2bdrEuHHjAHjuuecs4vjwww/x8vLiyJEj1K5dG2dnZ2P8HTt2MHHiRJYsWULt2rXJzc1lxowZbNy4kWbNmhmxbd26lUWLFtGqVStj3MmTJ/P0008D15PfFStW5LPPPqNHjx5FrndBQQEJCQm4uLgA0K9fP5KSkpg+ffpdzXvDjz/+yMaNG9m9e7eRzF68eDEBAQFFzl9cM2fOpHHjxixcuNC4VqtWrbsep3fv3rz00kvGea9evQgNDeWVV14BYNSoUezYsYNZs2bRpk0bo19oaCi9evUCYMaMGcyfP59du3bRvn37QnPMmzeP9u3bG5/HwMBAtm3bxrp164w+U6ZMYfz48cZnvEqVKkybNo2xY8cyefJkdu7cyZgxY2jevDmlSpVi7ty5bN++nTfeeMNix/sN0dHRTJky5a7XQ0RERERERORh0g5hESkkNTWV3Nxc2rVrd8s+K1euJDg4mHLlyuHs7MzEiRPJyMiw6FOpUqVCyWCApk2bYjKZjPNmzZpx/PhxY6fp3r176dSpE35+fri4uBhJz9+PX7duXeNnb29vo3zFzddu3hV7/PhxevXqRZUqVXB1dcXf37/IcTMyMujatSvh4eFGEvfEiRNcvnyZp59+2kgcOzs7s3TpUouyEzee54bSpUtTvXp1UlNTb7GS1xPqN5LBAD4+PkbcdzPvDUePHsXGxoaGDRsa16pVq/aH697e2CH8R91IUt+QmppqJPZvCA4OLrRmN/++nZyccHV1veWu59TUVJ588kmLazf/XgD279/P1KlTLdZ1yJAhZGZmcvnyZY4fP058fDzDhg2jYsWKrFu3Dm9vb4syJDeLiIggKyvLOE6dOnX7hRAREREREREpAdohLCKF3OmlZ9u3b6dPnz5MmTKFkJAQ3NzcSExMZPbs2Rb9nJyc7nruS5cuERISQkhICMuXL8fLy4uMjAxCQkK4evWqRd+bX0ZmMpkKvZzMZDIZ5SAAOnXqRKVKlYiLi6N8+fIUFBRQu3Zti3EvXbpE586dadasGVOnTjWu5+TkALB27VoqVKhgMc8frSl7u7gf5Lw3s7K6/u+DN9dy/n2Zizt9LqysrCzuL2oMuLfPBdx+ne5FTk4OU6ZMoXv37oXa7O3t6du3L4BRQ9lkMvHqq6/ecjw7OzvVFxYREREREZFHnhLCIlJIQEAADg4OJCUlMXjw4ELt27Zto1KlSkyYMMG4dvLkyWKPv3PnTovzHTt2EBAQgLW1NT/++CNnz54lJiYGX19fAPbs2XOPT/J/zp49y9GjR4mLi6Nly5YAbN261aKP2Wymb9++FBQUsGzZMotdzDVr1sTOzo6MjIwiyzT8/nn8/PwAOH/+PMeOHSMoKOie4r6beW+oXr06165d44cffqBRo0bA9Z3GN17+VpQbO7kzMzONncQ3132G6zt0k5KSblkWwcvLi8zMTOM8Ozubf//733eMNygoiJSUFKN0A1x/eV3NmjXveO/txizqc3azhg0bcvToUapVq3bbsfz9/Y0XC4qIiIiIiIj82SkhLCKF2NvbM27cOMaOHYutrS3BwcGcOXOGw4cPM2jQIAICAsjIyCAxMZEmTZqwdu1aPvvss2KPn5GRwahRo3j55Zf5/vvvWbBggbG72M/PD1tbWxYsWMCwYcM4dOgQ06ZN+8PP5OHhgaenJ++//z4+Pj5kZGQwfvx4iz5RUVFs3LiRDRs2kJOTY+zOdXNzw8XFhfDwcEaOHElBQQEtWrQgKyuLlJQUXF1dLZKZU6dOxdPTE29vbyZMmECZMmXo2rXrPcV9N/PeUKNGDZ566imGDh3Ku+++S6lSpRg9ejQODg4WSe6bVatWDV9fX6Kiopg+fTrHjh0rtOM7IiKCOnXq8MorrzBs2DBsbW3ZtGkTL7zwAmXKlKFt27YkJCTQqVMn3N3dmTRpEtbW1nd8xjFjxtCjRw8aNGjAU089xZdffsmqVavYuHHjPa0ZwPDhwwkODmbWrFl06dKF9evXW9QPBpg0aRIdO3bEz8+P559/HisrK/bv38+hQ4cKvYBORG4tPaZDSYcgIiIiIiJ3QTWERaRIkZGRjB49mkmTJhEUFETPnj2Neq2dO3dm5MiRhIWFUb9+fbZt20ZkZGSxx+7fvz//+9//eOKJJ3j11Vd5/fXXGTp0KHB9l2lCQgKffPIJNWvWJCYmhlmzZv3h57GysiIxMZG9e/dSu3ZtRo4cydtvv23RZ/PmzeTk5NC8eXN8fHyMY+XKlQBMmzaNyMhIoqOjCQoKon379qxdu5bKlStbjBMTE8Prr79Oo0aN+OWXX/jyyy+xtbW959iLO+/Nli5dire3N3/729/o1q0bQ4YMwcXFpciXocH1cgz/7//9P3788Ufq1q3LW2+9VSgpGhgYyIYNG9i/fz9PPPEEzZo14/PPP8fG5vq/LUZERNCqVSs6duxIhw4d6Nq1K1WrVr3j83Xt2pV58+Yxa9YsatWqxaJFi4iPj6d169bFX6Tfadq0KXFxccybN4969eqxYcMGixchAoSEhLBmzRo2bNhAkyZNaNq0KXPmzKFSpUr3PK+IiIiIiIjIo85k/n3BRxERuSfJycm0adOG8+fP4+7uXtLhWPjPf/6Dr68vGzduvC8vhpM7y87Oxs3NjaysLFxdXUs6HBEREREREXnMFfd7qEpGiIg8hr799ltycnKoU6cOmZmZjB07Fn9/f/72t7+VdGgiIiIiIiIiUoKUEBYReQzl5eXxxhtv8NNPP+Hi4kLz5s1Zvnw5pUqVKunQRERERERERKQEqYawiBRL69atGTFiREmHUWISEhLuWAaidevWmM3mR6JcREhICIcOHeLy5cv8+uuvfPbZZ491bdyoqCjq169/2z6hoaH3/HI/ERERERERkceFdgiLiBRDz549efbZZx/4PKtWreK9995j7969nDt3jh9++KFQovPKlSuMHj2axMREcnNzCQkJYeHChXh7e/+hcd9//31WrFjB999/z8WLFx/JWsi3Eh4ezmuvvfZAxk5ISACuJ5RFpDD/8WtLOgS5C+kxHUo6BBEREREpYdohLCK3dfXq1ZIO4ZHg4OBA2bJlH/g8ly5dokWLFrz11lu37DNy5Ei+/PJLPvnkEzZv3szPP/9M9+7d//C4ly9fpn379rzxxhv3HH9JcXZ2xtPT876OOWfOHC5evGicX7x4kTlz5tzXOUREREREREQeNiWERR4zBQUFzJw5k2rVqmFnZ4efnx/Tp0832seNG0dgYCCOjo5UqVKFyMhI8vLyjPYb//V+8eLFVK5cGXt7e6Pt2rVrhIWF4ebmRpkyZYiMjMRsNhvty5Yto3Hjxri4uFCuXDl69+7N6dOnjfbk5GRMJhPr16+nQYMGODg40LZtW06fPs3XX39NUFAQrq6u9O7dm8uXLxv3rVu3jhYtWuDu7o6npycdO3YkLS3NImaTyVTouLGzs6CggOjoaCpXroyDgwP16tXjX//6V6G41q5dS926dbG3t6dp06YcOnTI6PP7khE31mnZsmX4+/vj5ubGiy++aJFAvNO8RenXrx+TJk3iqaeeKrI9KyuLDz74gHfeeYe2bdvSqFEj4uPj2bZtGzt27LjncQFGjBjB+PHjadq06W1j/L1Dhw7x97//HWdnZ7y9venXrx+//fab0d66dWvCwsJu+9k5f/48/fv3x8PDA0dHR/7+979z/PhxAM6cOUO5cuWYMWOG0X/btm3Y2tqSlJQEFC4ZkZ+fz6hRo4zPzNixYy3mgzv/fjw8PHj66afZunUrW7du5emnn8bDw+Ou1kZERERERETkUaOEsMhjJiIigpiYGCIjIzly5AgrVqywKCXg4uJCQkICR44cYd68ecTFxRXa9XjixAk+/fRTVq1axb59+4zrS5YswcbGhl27djFv3jzeeecdFi9ebLTn5eUxbdo09u/fz+rVq0lPTy/yv9lHRUURGxvLtm3bOHXqFD169GDu3LmsWLGCtWvXsmHDBhYsWGD0v3TpEqNGjWLPnj0kJSVhZWVFt27dKCgoAK6XC8jMzDSOWbNm4ejoSOPGjQGIjo5m6dKlvPfeexw+fJiRI0fSt29fNm/ebBHXmDFjmD17Nrt378bLy4tOnTpZJMt/Ly0tjdWrV7NmzRrWrFnD5s2biYmJMdqLO+/d2Lt3L3l5eRaJ3Ro1auDn58f27dvvedx7deHCBdq2bUuDBg3Ys2cP69at49dff6VHjx4W/e702QkNDWXPnj188cUXbN++HbPZzLPPPkteXh5eXl58+OGHREVFsWfPHi5evEi/fv0ICwujXbt2RcY1e/ZsEhIS+PDDD9m6dSvnzp3js88+s+hzp99PaGgoH3/8sfH7/fjjj29bNiI3N5fs7GyLQ0RERERERORRoxrCIo+RixcvMm/ePGJjYxkwYAAAVatWpUWLFkafiRMnGj/7+/sTHh5OYmIiY8eONa5fvXqVpUuX4uXlZTG+r68vc+bMwWQyUb16dQ4ePMicOXMYMmQIAAMHDjT6VqlShfnz59OkSRNycnJwdnY22t58802Cg4MBGDRoEBEREaSlpVGlShUAnn/+eTZt2sS4ceMAeO655yzi+PDDD/Hy8uLIkSPUrl0bZ2dnY/wdO3YwceJElixZQu3atcnNzWXGjBls3LiRZs2aGbFt3bqVRYsW0apVK2PcyZMn8/TTTwPXE5gVK1bks88+K5TcvKGgoICEhARcXFyA67twk5KSmD59+l3Nezd++eUXbG1tC9X29fb25pdffrmnMf+I2NhYGjRoYLF798MPP8TX15djx44RGBgI3P6zc/z4cb744gtSUlJo3rw5AMuXL8fX15fVq1fzwgsv8OyzzzJkyBD69OlD48aNcXJyIjo6+pZxzZ07l4iICKOUxnvvvcf69euN9uL8fj766CNiY2Pp0OF6vc0ePXoQFhZG3759i5wzOjqaKVOm/IHVFBEREREREXnwtENY5DGSmppKbm7uLXdNAqxcuZLg4GDKlSuHs7MzEydOJCMjw6JPpUqVCiWDAZo2bYrJZDLOmzVrxvHjx8nPzweu717t1KkTfn5+uLi4GEnP349ft25d42dvb2+jfMXN124uNXH8+HF69epFlSpVcHV1xd/fv8hxMzIy6Nq1K+Hh4UYS98SJE1y+fJmnn37aSBw7OzuzdOlSi7ITN57nhtKlS1O9enVSU1NvsZLXE+o3ksEAPj4+Rtx3M++fxY2yEM7OztSqVQuA/fv3s2nTJotnrFGjBoDFc97us5OamoqNjQ1PPvmk0e7p6Vlo/WfNmsW1a9f45JNPWL58OXZ2dkXGmZWVRWZmpsV4NjY2xo5xKN7v5/Tp03zzzTe0bNmSli1b8s0331h8Ln8vIiKCrKws4zh16lSx1lVERERERETkYdIOYZHHiIODw23bt2/fTp8+fZgyZQohISG4ubmRmJjI7NmzLfo5OTnd9dyXLl0iJCSEkJAQli9fjpeXFxkZGYSEhBR6MV2pUqWMn00mk8X5jWs3ykEAdOrUiUqVKhEXF0f58uUpKCigdu3aFuNeunSJzp0706xZM6ZOnWpcz8nJAWDt2rVUqFDBYp5bJRSL63ZxP6h5y5Urx9WrV7lw4YLFLuFff/2VcuXK3fO4xbF48WL+97//Af/37Dk5OXTq1KnIl9X5+Pjc1/nT0tL4+eefKSgoID09nTp16tzzWMX5/YwaNcriuouLS6Frv7/vj36mRERERERERB40JYRFHiMBAQE4ODiQlJTE4MGDC7Vv27aNSpUqMWHCBOPayZMniz3+zp07Lc537NhBQEAA1tbW/Pjjj5w9e5aYmBh8fX0B2LNnzz0+yf85e/YsR48eJS4ujpYtWwKwdetWiz5ms5m+fftSUFDAsmXLLHai1qxZEzs7OzIyMu5YpmHHjh34+fkB119yduzYMYKCgu4p7ruZ9240atSIUqVKkZSUZJTSOHr0KBkZGRY7nB+E3ydOARo2bMinn36Kv78/Nja3/ivldp+doKAgrl27xs6dO42SETd+7zVr1gSulzHp27cvPXv2pHr16gwePJiDBw9StmzZQnO5ubnh4+PDzp07+dvf/gZcfyHi3r17adiwIXB3v5/b1Q0WEUiP6VDSIYiIiIiIyF1QQljkMWJvb8+4ceMYO3Ystra2BAcHc+bMGQ4fPsygQYMICAggIyODxMREmjRpwtq1awu9aOt2MjIyGDVqFC+//DLff/89CxYsMHYX+/n5YWtry4IFCxg2bBiHDh1i2rRpf/iZPDw88PT05P3338fHx4eMjAzGjx9v0ScqKoqNGzeyYcMGcnJyjN2fbm5uuLi4EB4ezsiRIykoKKBFixZkZWWRkpKCq6urUWsZYOrUqXh6euLt7c2ECRMoU6YMXbt2vae472bem507d46MjAx+/vln4HqyF67vDC5Xrhxubm4MGjSIUaNGUbp0aVxdXXnttddo1qwZTZs2vWU8dxoXrtcn/uWXXzhx4gQABw8exMXFBT8/P0qXLl3kuK+++ipxcXH06tWLsWPHUrp0aU6cOEFiYiKLFy/G2toauP1nJyAggC5dujBkyBAWLVqEi4sL48ePp0KFCnTp0gWACRMmkJWVxfz583F2duarr75i4MCBrFmzpsi4Xn/9dWJiYggICKBGjRq88847XLhw4Q//fkRERERERET+9Mwi8ljJz883v/nmm+ZKlSqZS5UqZfbz8zPPmDHDaB8zZozZ09PT7OzsbO7Zs6d5zpw5Zjc3N6N98uTJ5nr16hUat1WrVuZXXnnFPGzYMLOrq6vZw8PD/MYbb5gLCgqMPitWrDD7+/ub7ezszM2aNTN/8cUXZsD8ww8/mM1ms3nTpk1mwHz+/Hnjnvj4eIv5i4rhm2++MQcFBZnt7OzMdevWNScnJ5sB82effWbEBhQ64uPjzWaz2VxQUGCeO3euuXr16uZSpUqZvby8zCEhIebNmzdbxPXll1+aa9WqZba1tTU/8cQT5v37998yzqLWac6cOeZKlSoZ53eatyjx8fFFPsvkyZONPv/73//Mr7zyitnDw8Ps6Oho7tatmzkzM9NinEqVKlncU5xxJ0+efNt1vJVjx46Zu3XrZnZ3dzc7ODiYa9SoYR4xYoTx2SjOZ+fcuXPmfv36md3c3MwODg7mkJAQ87Fjx8xm8/Xfj42NjXnLli1G/3//+99mV1dX88KFC43Yb/595OXlmV9//XWzq6ur2d3d3Txq1Chz//79zV26dPlDv5+7kZWVZQbMWVlZ92U8ERERERERkdsp7vdQk9lsNj+s5LOIyKMoOTmZNm3acP78eYu6vH9Wly9fxtPTk6+//prWrVuXdDi0bt2a+vXrM3fu3JIO5aHKzs7Gzc2NrKwsXF1dSzocERERERERecwV93uo1UOMSUREHoJNmzbRtm3bRyIZLCIiIiIiIiKPFiWERUQeMx06dGDt2rXGeevWrRkxYkTJBVTCEhISHoud3yIiIiIiIiL3g14qJyJ/ea1bt0bVcx6c5OTkEp2/Z8+ePPvssyUag4iIiIiIiMijQglhEZHH1NWrV7G1tS3pMEqcg4MDDg4OJR2GyGPLf/zaO3eSR0Z6TIeSDkFERERESphKRoiIPEIKCgqYOXMm1apVw87ODj8/P6ZPnw7AuHHjCAwMxNHRkSpVqhAZGUleXp5xb1RUFPXr12fx4sVUrlwZe3t7o+3atWuEhYXh5uZGmTJliIyMtNgVvWzZMho3boyLiwvlypWjd+/enD592mhPTk7GZDKxfv16GjRogIODA23btuX06dN8/fXXBAUF4erqSu/evbl8+bJx37p162jRogXu7u54enrSsWNH0tLSLGI2mUyFjoSEBGM9oqOjqVy5Mg4ODtSrV49//etfheJau3YtdevWxd7enqZNm3Lo0CGjz+9LRtxYp2XLluHv74+bmxsvvvgiFy9etPg93G5eERERERERkT8rJYRFRB4hERERxMTEEBkZyZEjR1ixYgXe3t4AuLi4kJCQwJEjR5g3bx5xcXHMmTPH4v4TJ07w6aefsmrVKvbt22dcX7JkCTY2NuzatYt58+bxzjvvsHjxYqM9Ly+PadOmsX//flavXk16ejqhoaGF4ouKiiI2NpZt27Zx6tQpevTowdy5c1mxYgVr165lw4YNLFiwwOh/6dIlRo0axZ49e0hKSsLKyopu3bpRUFAAQHh4OJmZmcYxa9YsHB0dady4MQDR0dEsXbqU9957j8OHDzNy5Ej69u3L5s2bLeIaM2YMs2fPZvfu3Xh5edGpUyeLZPnvpaWlsXr1atasWcOaNWvYvHkzMTExRntx5xURERERERH5szGZVThTROSRcPHiRby8vIiNjWXw4MF37D9r1iwSExPZs2cPcD1ZO2PGDP773//i5eVl9GvdujWnT5/m8OHDmEwmAMaPH88XX3zBkSNHihx7z549NGnShIsXL+Ls7ExycjJt2rRh48aNtGvXDoCYmBgiIiJIS0ujSpUqAAwbNoz09HTWrVtX5Li//fYbXl5eHDx4kNq1a1u07dixgzZt2rBkyRJ69OhBbm4upUuXZuPGjTRr1szoN3jwYC5fvsyKFSuMuBITE+nZsycA586do2LFiiQkJNCjRw8SEhIYMWIEFy5cMNbp7bff5pdffsHFxQWAsWPH8t1337Fjx45izVuU3NxccnNzjfPs7Gx8fX3JysrC1dW1yHtEHgcqGfHnopIRIiIiIo+v7Oxs3Nzc7vg9VDuERUQeEampqeTm5hoJ199buXIlwcHBlCtXDmdnZyZOnEhGRoZFn0qVKlkkg29o2rSpkQwGaNasGcePHyc/Px+AvXv30qlTJ/z8/HBxcaFVq1YAhcavW7eu8bO3t7dRvuLmazeXmjh+/Di9evWiSpUquLq64u/vX+S4GRkZdO3alfDwcHr06AFc3+18+fJlnn76aZydnY1j6dKlFmUnbjzPDaVLl6Z69eqkpqYWuY4A/v7+RjIYwMfHx4j7bua9WXR0NG5ubsbh6+t7y74iIiIiIiIiJUUvlRMReUTc7sVn27dvp0+fPkyZMoWQkBDc3NxITExk9uzZFv2cnJzuet5Lly4REhJCSEgIy5cvx8vLi4yMDEJCQrh69apF31KlShk/m0wmi/Mb126UgwDo1KkTlSpVIi4ujvLly1NQUEDt2rUtxr106RKdO3emWbNmTJ061biek5MDwNq1a6lQoYLFPHZ2dnf9nLd6jt/Hfa/zRkREMGrUKOP8xg5hERERERERkUeJEsIiIo+IgIAAHBwcSEpKKlQyYtu2bVSqVIkJEyYY106ePFnssXfu3GlxvmPHDgICArC2tubHH3/k7NmzxMTEGAnMG2Uo/oizZ89y9OhR4uLiaNmyJQBbt2616GM2m+nbty8FBQUsW7bMYhdzzZo1sbOzIyMjw9ixfCs7duzAz88PgPPnz3Ps2DGCgoLuKe67mfdmdnZ2fzhRLSIiIiIiIvKgKSEsIvKIsLe3Z9y4cYwdOxZbW1uCg4M5c+YMhw8fJiAggIyMDBITE2nSpAlr167ls88+K/bYGRkZjBo1ipdffpnvv/+eBQsWGLuL/fz8sLW1ZcGCBQwbNoxDhw4xbdq0P/w8Hh4eeHp68v777+Pj40NGRgbjx4+36BMVFcXGjRvZsGEDOTk5xu5cNzc3XFxcCA8PZ+TIkRQUFNCiRQuysrJISUnB1dWVAQMGGONMnToVT09PvL29mTBhAmXKlKFr1673FPfdzCsiqkkrIiIiIvJno4SwiMgjJDIyEhsbGyZNmsTPP/+Mj48Pw4YNY9CgQYwcOZKwsDByc3Pp0KEDkZGRREVFFWvc/v3787///Y8nnngCa2trXn/9dYYOHQqAl5cXCQkJvPHGG8yfP5+GDRsya9YsOnfu/IeexcrKisTERIYPH07t2rWpXr068+fPp3Xr1kafzZs3k5OTQ/PmzS3ujY+PJzQ0lGnTpuHl5UV0dDQ//fQT7u7uNGzYkDfeeMOif0xMDK+//jrHjx+nfv36fPnll9ja2t5z7MWdV0REREREROTPxmQ2m80lHYSIiMi9SE5Opk2bNpw/fx53d/eSDsdCcd/uKiIiIiIiInI/FPd7qNVDjElERERERERERERESpASwiIiIiIiIiIiIiJ/EUoIi4jIfdG6dWtGjBjxwMYPDQ0t9KK41q1bYzabb1kuIiUlhTp16lCqVKl7fsmciIiIiIiIyONEL5UTEZHH1qhRo6hfvz5ff/01zs7OJR2OiIiIiIiISInTDmEREXlspaWl0bZtWypWrPjIvXROREREREREpCQoISwiIvfNtWvXCAsLw83NjTJlyhAZGYnZbAZg2bJlNG7cGBcXF8qVK0fv3r05ffq0xf2HDx+mY8eOuLq64uLiQsuWLUlLSytyrtzcXIYPH07ZsmWxt7enRYsW7N69G4D09HRMJhNnz55l4MCBmEwmEhISADh06BB///vfcXZ2xtvbm379+vHbb78Z47Zu3Zrhw4czduxYSpcuTbly5YiKirr/iyUiIiIiIiJSApQQFhGR+2bJkiXY2Niwa9cu5s2bxzvvvMPixYsByMvLY9q0aezfv5/Vq1eTnp5OaGioce9///tf/va3v2FnZ8e3337L3r17GThwINeuXStyrrFjx/Lpp5+yZMkSvv/+e6pVq0ZISAjnzp3D19eXzMxMXF1dmTt3LpmZmfTs2ZMLFy7Qtm1bGjRowJ49e1i3bh2//vorPXr0KPQcTk5O7Ny5k5kzZzJ16lS++eabB7ZuIiIiIiIiIg+LyXxj65aIiMgf0Lp1a06fPs3hw4cxmUwAjB8/ni+++IIjR44U6r9nzx6aNGnCxYsXcXZ25o033iAxMZGjR49SqlSpQv1DQ0O5cOECq1ev5tKlS3h4eJCQkEDv3r2B6wlnf39/RowYwZgxYwBwd3dn7ty5RuL5zTffZMuWLaxfv94Y9z//+Q++vr4cPXqUwMBAWrduTX5+Plu2bDH6PPHEE7Rt25aYmJhbPn9ubi65ubnGeXZ2Nr6+vmRlZeHq6noXKykiIiIiIiJy97Kzs3Fzc7vj91DtEBYRkfumadOmRjIYoFmzZhw/fpz8/Hz27t1Lp06d8PPzw8XFhVatWgGQkZEBwL59+2jZsmWRyeDfS0tLIy8vj+DgYONaqVKleOKJJ0hNTb3lffv372fTpk04OzsbR40aNYwxb6hbt67FfT4+PoXKW/xedHQ0bm5uxuHr63vH5xARERERERF52GxKOgAREXn8XblyhZCQEEJCQli+fDleXl5kZGQQEhLC1atXAXBwcHjgceTk5NCpUyfeeuutQm0+Pj7Gz79PSptMJgoKCm47dkREBKNGjTLOb+wQFhEREREREXmUKCEsIiL3zc6dOy3Od+zYQUBAAD/++CNnz54lJibGSJLu2bPHom/dunVZsmQJeXl5d9wlXLVqVWxtbUlJSaFSpUrA9ZIRu3fvZsSIEbe8r2HDhnz66af4+/tjY3N//wq0s7PDzs7uvo4pIiIiIiIicr+pZISIiNw3GRkZjBo1iqNHj/L//t//Y8GCBbz++uv4+flha2vLggUL+Omnn/jiiy+YNm2axb1hYWFkZ2fz4osvsmfPHo4fP86yZcs4evRooXmcnJz4xz/+wZgxY1i3bh1HjhxhyJAhXL58mUGDBt0yvldffZVz587Rq1cvdu/eTVpaGuvXr+ell14iPz//vq+HiIiIiIiIyKNGO4RFROS+6d+/P//73/944oknsLa25vXXX2fo0KGYTCYSEhJ44403mD9/Pg0bNmTWrFl07tzZuNfT05Nvv/2WMWPG0KpVK6ytralfv75FneCbxcTEUFBQQL9+/bh48SKNGzdm/fr1eHh43DK+8uXLk5KSwrhx43jmmWfIzc2lUqVKtG/fHisr/RupiIiIiIiIPP5MZrPZXNJBiIiIPG6K+3ZXERERERERkfuhuN9DtR1KRERERERERERE5C9CCWERERERERERERGRvwglhEVExELr1q0ZMWLEbfskJCTg7u7+UOJ5GJKTkzGZTFy4cKGkQxERERERERF5oPRSORERsbBq1SpKlSplnPv7+zNixIg7Jon/zJo3b05mZiZubm4lHYqIiIiIiIjIA6WEsIiIWChduvQDGffq1avY2to+kLH/KFtbW8qVK1fSYYiIPHD+49eWdAiPhPSYDiUdgoiIiEiJUckIEZHH0Lp162jRogXu7u54enrSsWNH0tLSAIiKisJkMhU6EhISAMuSEa1bt+bkyZOMHDnS6Hez9evXExQUhLOzM+3btyczM9NoCw0NpWvXrkyfPp3y5ctTvXp1AA4ePEjbtm1xcHDA09OToUOHkpOTU+i+GTNm4O3tjbu7O1OnTuXatWuMGTOG0qVLU7FiReLj44172rZtS1hYmEVsZ86cwdbWlqSkJAByc3MZN24cvr6+2NnZUa1aNT744AOgcMmIGyUxbvd8IiIiIiIiIn9GSgiLiDyGLl26xKhRo9izZw9JSUlYWVnRrVs3CgoKCA8PJzMz0zhmzZqFo6MjjRs3LjTOqlWrqFixIlOnTjX633D58mVmzZrFsmXL+O6778jIyCA8PNzi/qSkJI4ePco333zDmjVruHTpEiEhIXh4eLB7924++eQTNm7cWCiZ++233/Lzzz/z3Xff8c477zB58mQ6duyIh4cHO3fuZNiwYbz88sv85z//AWDw4MGsWLGC3NxcY4yPPvqIChUq0LZtWwD69+/P//t//4/58+eTmprKokWLcHZ2vuUaFuf5RERERERERP5sVDJCROQx9Nxzz1mcf/jhh3h5eXHkyBFq165tJEJ37NjBxIkTWbJkCbVr1y40TunSpbG2tsbFxaVQSYW8vDzee+89qlatCkBYWBhTp0616OPk5MTixYuNUhFxcXFcuXKFpUuX4uTkBEBsbCydOnXirbfewtvb25h3/vz5WFlZUb16dWbOnMnly5d54403AIiIiCAmJoatW7fy4osv0r17d8LCwvj888/p0aMHcH2Xb2hoKCaTiWPHjvHxxx/zzTff8NRTTwFQpUqV265hcZ7vZrm5uRYJ6ezs7NuOLyIiIiIiIlIStENYROQxdPz4cXr16kWVKlVwdXXF398fgIyMDKNPRkYGXbt2JTw83Eii3g1HR0cjWQrg4+PD6dOnLfrUqVPHom5wamoq9erVM5LBAMHBwRQUFHD06FHjWq1atbCy+r+/ory9valTp45xbm1tjaenpzGfvb09/fr148MPPwTg+++/59ChQ4SGhgKwb98+rK2tadWq1X19vptFR0fj5uZmHL6+vsWeS0RERERERORhUUJYROQx1KlTJ86dO0dcXBw7d+5k586dwPUXu8H1khKdO3emWbNmt931ejulSpWyODeZTJjNZotrNyd+/+jYRV0rKCgwzgcPHsw333zDf/7zH+Lj42nbti2VKlUCwMHB4b7E8Pvnu1lERARZWVnGcerUqbueU0RERERERORBU0JYROQxc/bsWY4ePcrEiRNp164dQUFBnD9/3mg3m8307duXgoICli1bVuhFcb9na2tLfn7+fYktKCiI/fv3c+nSJeNaSkqKURrij6hTpw6NGzcmLi6OFStWMHDgQIu2goICNm/e/IfmuB07OztcXV0tDhEREREREZFHjWoIi4g8Zjw8PPD09OT999/Hx8eHjIwMxo8fb7RHRUWxceNGNmzYQE5ODjk5OQC4ubkVuZPW39+f7777jhdffBE7OzvKlClzz7H16dOHyZMnM2DAAKKiojhz5gyvvfYa/fr1M+oH/xGDBw8mLCwMJycnunXrZvEMAwYMYODAgcyfP5969epx8uRJTp8+fU/lMkRE/qzSYzqUdAgiIiIiUsK0Q1hE5DFjZWVFYmIie/fupXbt2owcOZK3337baN+8eTM5OTk0b94cHx8f41i5cmWR402dOpX09HSqVq2Kl5fXH4rN0dGR9evXc+7cOZo0acLzzz9Pu3btiI2N/UPj3tCrVy9sbGzo1asX9vb2Fm3vvvsuzz//PK+88go1atRgyJAhFjuVRURERERERP4KTObbFUQUERH5E7mRuN69ezcNGzYs0Viys7Nxc3MjKytL5SNERERERETkgSvu91CVjBARkT+9vLw8zp49y8SJE2natGmJJ4NFREREREREHlUqGSEiIn96KSkp+Pj4sHv3bt57772SDkdERERERETkkaWEsIiI/Om1bt0as9nM0aNHqVOnTrHu8ff3Z+7cucWeIyoqivr1699bgCIiIiIiIiKPCCWERUSkRKSnp2Mymdi3b19JhyIiIiIiIiLyl6EawiIiIiIifxH+49eWdAh/eekxHUo6BBEREfmL0w5hERF5YNatW0eLFi1wd3fH09OTjh07kpaWBkDlypUBaNCgASaTidatWxv3LV68mKCgIOzt7alRowYLFy402m7sLF61ahVt2rTB0dGRevXqsX37dou5P/30U2rVqoWdnR3+/v7Mnj37trFmZGTQpUsXnJ2dcXV1pUePHvz666/3aSVEREREREREHg1KCIuIyANz6dIlRo0axZ49e0hKSsLKyopu3bpRUFDArl27ANi4cSOZmZmsWrUKgOXLlzNp0iSmT59OamoqM2bMIDIykiVLlliMPWHCBMLDw9m3bx+BgYH06tWLa9euAbB371569OjBiy++yMGDB4mKiiIyMpKEhIQi4ywoKKBLly6cO3eOzZs388033/DTTz/Rs2fPYj9rbm4u2dnZFoeIiIiIiIjIo0YlI0RE5IF57rnnLM4//PBDvLy8OHLkCF5eXgB4enpSrlw5o8/kyZOZPXs23bt3B67vJD5y5AiLFi1iwIABRr/w8HA6dLj+326nTJlCrVq1OHHiBDVq1OCdd96hXbt2REZGAhAYGMiRI0d4++23CQ0NLRRnUlISBw8e5N///je+vr4ALF26lFq1arF7926aNGlyx2eNjo5mypQpd7E6IiIiIiIiIg+fdgiLiMgDc/z4cXr16kWVKlVwdXXF398fuF6eoSiXLl0iLS2NQYMG4ezsbBxvvvmmUWrihrp16xo/+/j4AHD69GkAUlNTCQ4OtugfHBzM8ePHyc/PLzRvamoqvr6+RjIYoGbNmri7u5OamlqsZ42IiCArK8s4Tp06Vaz7RERERERERB4m7RAWEZEHplOnTlSqVIm4uDjKly9PQUEBtWvX5urVq0X2z8nJASAuLo4nn3zSos3a2trivFSpUsbPJpMJuF76oaTY2dlhZ2dXYvOLiIiIiIiIFIcSwiIi8kCcPXuWo0ePEhcXR8uWLQHYunWr0W5rawtgsWPX29ub8uXL89NPP9GnT597njsoKIiUlBSLaykpKQQGBhZKLN/of+rUKU6dOmXsEj5y5AgXLlygZs2a9xyHiIiIiIiIyKNGCWEREXkgPDw88PT05P3338fHx4eMjAzGjx9vtJctWxYHBwfWrVtHxYoVsbe3x83NjSlTpjB8+HDc3Nxo3749ubm57Nmzh/PnzzNq1KhizT169GiaNGnCtGnT6NmzJ9u3byc2NpaFCxcW2f+pp56iTp069OnTh7lz53Lt2jVeeeUVWrVqRePGje/LeoiIPArSYzqUdAgiIiIiUsJUQ1hERB4IKysrEhMT2bt3L7Vr12bkyJG8/fbbRruNjQ3z589n0aJFlC9fni5dugAwePBgFi9eTHx8PHXq1KFVq1YkJCRQuXLlYs/dsGFDPv74YxITE6lduzaTJk1i6tSpRb5QDq6XnPj888/x8PDgb3/7G0899RRVqlRh5cqVf2gNRERERERERB41JrPZbC7pIERERB432dnZuLm5kZWVhaura0mHIyIiIiIiIo+54n4P1Q5hERERERERERERkb8IJYRFRERERERERERE/iKUEBaRR1p6ejomk4l9+/YV+56EhATc3d0fiVhKcly5teTkZEwmExcuXCj2Pf7+/sydO/eBxSQiIiIiIiLyMCghLCIiD5QS3iIiIiIiIiKPDpuSDkBERG7PbDaTn5+PjY3+yL4TrZWI/Nn4j1/7UOdLj+nwUOcTERERkUePdgiLSIlbt24dLVq0wN3dHU9PTzp27EhaWlqRfW/8V/+1a9dSt25d7O3tadq0KYcOHSrUd/369QQFBeHs7Ez79u3JzMw02nbv3s3TTz9NmTJlcHNzo1WrVnz//ffFivenn36iTZs2ODo6Uq9ePbZv3w7ApUuXcHV15V//+pdF/9WrV+Pk5MTFixcB2LVrFw0aNMDe3p7GjRvzww8/FPmMX3/9NY0aNcLOzo6tW7eSm5vL8OHDKVu2LPb29rRo0YLdu3cDcOXKFWrVqsXQoUONcdLS0nBxceHDDz8sVmw3dvJ+/PHHtGzZEgcHB5o0acKxY8fYvXs3jRs3xtnZmb///e+cOXPGYpzFixcTFBSEvb09NWrUYOHChUZb5cqVAWjQoAEmk4nWrVsDUFBQwNSpU6lYsSJ2dnbUr1+fdevWGffdiCcxMZHmzZtjb29P7dq12bx58x9aq1v59NNPqVWrFnZ2dvj7+zN79uzb9hcRERERERH5M1JCWERK3KVLlxg1ahR79uwhKSkJKysrunXrRkFBwS3vGTNmDLNnz2b37t14eXnRqVMn8vLyjPbLly8za9Ysli1bxnfffUdGRgbh4eFG+8WLFxkwYABbt25lx44dBAQE8OyzzxpJ29uZMGEC4eHh7Nu3j8DAQHr16sW1a9dwcnLixRdfJD4+3qJ/fHw8zz//PC4uLuTk5NCxY0dq1qzJ3r17iYqKsojrZuPHjycmJobU1FTq1q3L2LFj+fTTT1myZAnff/891apVIyQkhHPnzmFvb8/y5ctZsmQJn3/+Ofn5+fTt25enn36agQMHFiu2GyZPnszEiRP5/vvvsbGxoXfv3owdO5Z58+axZcsWTpw4waRJk4z+y5cvZ9KkSUyfPp3U1FRmzJhBZGQkS5YsAa4nwAE2btxIZmYmq1atAmDevHnMnj2bWbNmceDAAUJCQujcuTPHjx8v9LsePXo0P/zwA82aNaNTp06cPXv2nteqKHv37qVHjx68+OKLHDx4kKioKCIjI0lISLjVx6CQ3NxcsrOzLQ4RERERERGRR43+T62IlLjnnnvO4vzDDz/Ey8uLI0eO4OzsXOQ9kydP5umnnwZgyZIlVKxYkc8++4wePXoAkJeXx3vvvUfVqlUBCAsLY+rUqcb9bdu2tRjv/fffx93dnc2bN9OxY8fbxhseHk6HDtf/y+2UKVOoVasWJ06coEaNGgwePJjmzZuTmZmJj48Pp0+f5quvvmLjxo0ArFixgoKCAj744APs7e2pVasW//nPf/jHP/5RaJ6pU6caz3jp0iXeffddEhIS+Pvf/w5AXFwc33zzDR988AFjxoyhfv36vPnmmwwePJgXX3yRkydPsmbNGmO8O8V28/OFhIQA8Prrr9OrVy+SkpIIDg4GYNCgQRaJ0smTJzN79my6d+8OXN8RfOTIERYtWsSAAQPw8vICwNPTk3Llyhn3zZo1i3HjxvHiiy8C8NZbb7Fp0ybmzp3LP//5T6NfWFiY8Rl59913WbduHR988AFjx46957X6vXfeeYd27doRGRkJQGBgIEeOHOHtt98mNDS0UP+iREdHM2XKlGL1FRERERERESkp2iEsIiXu+PHj9OrViypVquDq6oq/vz8AGRkZt7ynWbNmxs+lS5emevXqpKamGtccHR2NZDBgJEBv+PXXXxkyZAgBAQG4ubnh6upKTk6OMeewYcNwdnY2jpvVrVvXYlzAGPuJJ56gVq1axu7Yjz76iEqVKvG3v/0NwNjBam9vX+Sz3Kxx48bGz2lpaeTl5RlJWYBSpUrxxBNPWDz36NGjCQwMJDY2lg8//BBPT0+j7U6xFfV83t7eANSpU8fi2o3nvXTpEmlpaQwaNMhivd58881blv0AyM7O5ueff7Z4HoDg4GCL5/n9+tjY2NC4ceNCfe5lrW6WmppaZCzHjx8nPz//ls9xs4iICLKysozj1KlTxbpPRERERERE5GHSDmERKXGdOnWiUqVKxMXFUb58eQoKCqhduzZXr1695zFLlSplcW4ymTCbzcb5gAEDOHv2LPPmzaNSpUrY2dnRrFkzY86pU6fespTDzWObTCYAi/IWgwcP5p///Cfjx48nPj6el156yeh3N5ycnO76ntOnT3Ps2DGsra05fvw47du3t2gvTmxFPd/vr9143pycHOD6Dtwnn3zSYhxra+u7jv9e3cta3W92dnbY2dmVdBgiIiIiIiIit6UdwiJSos6ePcvRo0eZOHEi7dq1IygoiPPnz9/xvh07dhg/nz9/nmPHjhEUFFTseVNSUhg+fDjPPvus8SKx3377zWgvW7Ys1apVM4670bdvX06ePMn8+fM5cuQIAwYMMNqCgoI4cOAAV65cKfJZbqVq1arY2tqSkpJiXMvLy2P37t3UrFnTuDZw4EDq1KnDkiVLGDduXKEdsbeL7V54e3tTvnx5fvrpJ4v1qlatmvEyOVtbWwCLnbaurq6UL1/e4nng+u/l5ucBy/W5du0ae/fuve3vurhrdbOgoKAiYwkMDHyoiW0RERERERGRB007hEWkRHl4eODp6cn777+Pj48PGRkZjB8//o73TZ06FU9PT7y9vZkwYQJlypSha9euxZ43ICCAZcuW0bhxY7KzsxkzZgwODg5/4En+j4eHB927d2fMmDE888wzVKxY0Wjr3bs3EyZMYMiQIURERJCens6sWbPuOKaTkxP/+Mc/GDNmDKVLl8bPz4+ZM2dy+fJlBg0aBMA///lPtm/fzoEDB/D19WXt2rX06dOHHTt2GEnZ28V2r6ZMmcLw4cNxc3Ojffv25ObmsmfPHs6fP8+oUaMoW7YsDg4OrFu3jooVK2Jvb4+bmxtjxoxh8uTJVK1alfr16xMfH8++fftYvny5xfj//Oc/CQgIICgoiDlz5nD+/HkGDhz4h9bq90aPHk2TJk2YNm0aPXv2ZPv27cTGxrJw4cI/vD4iIreTHtOhpEMQERERkb8Y7RAWkRJlZWVFYmIie/fupXbt2owcOZK33377jvfFxMTw+uuv06hRI3755Re+/PJLI+lZHB988AHnz5+nYcOG9OvXj+HDh1O2bNk/8igWBg0axNWrVwslLp2dnfnyyy85ePAgDRo0YMKECbz11lvFGjMmJobnnnuOfv360bBhQ06cOMH69evx8PDgxx9/ZMyYMSxcuBBfX18AFi5cyG+//Wa8KO1Osd2rwYMHs3jxYuLj46lTpw6tWrUiISHB2CFsY2PD/PnzWbRoEeXLl6dLly4ADB8+nFGjRjF69Gjq1KnDunXr+OKLLwgICCj03DExMdSrV4+tW7fyxRdfUKZMmXteq6I0bNiQjz/+mMTERGrXrs2kSZOYOnVqsV8oJyIiIiIiIvJnYTLfXFRTROQRl5ycTJs2bTh//jzu7u4lHc4tLVu2jJEjR/Lzzz/fVaL6YXiUY7tZeno6lStX5ocffqB+/folHc5dy87Oxs3NjaysLFxdXUs6HBEREREREXnMFfd7qEpGiIjcR5cvXyYzM5OYmBhefvnlRyrh+ijHJiIiIiIiIiIPh0pGiIjcRzNnzqRGjRqUK1eOiIiIkg7HwqMcm4iIiIiIiIg8HCoZISJynz2oUgd/9hIKj7KEhARGjBjBhQsX7tuYKhkhIiIiIiIiD1Nxv4dqh7CIyF2IiYnBZDIxYsSIkg5F7qOePXty7Nixkg5DRERERERE5IFTDWERkWLavXs3ixYtom7duiUdSpHMZjP5+fnY2OiP9ruRl5eHg4MDDg4OJR2KiMgD5z9+bYnOnx7ToUTnFxERERHtEBYRKZacnBz69OlDXFwcHh4exbrnp59+ok2bNjg6OlKvXj22b98OwKVLl3B1deVf//qXRf/Vq1fj5OTExYsXAdi1axcNGjTA3t6exo0b88MPP1j0T05OxmQy8fXXX9OoUSPs7OzYunUrubm5DB8+nLJly2Jvb0+LFi3YvXs3AFeuXKFWrVoMHTrUGCctLQ0XFxc+/PDDYsf2n//8h169elG6dGmcnJxo3LgxO3fuNPq/++67VK1aFVtbW6pXr86yZcuMtvT0dEwmE/v27TOuXbhwAZPJRHJyssWzrV+/ngYNGuDg4EDbtm05ffo0X3/9NUFBQbi6utK7d28uX75sjLNu3TpatGiBu7s7/5+9e4/L+f4fP/64lOh8UgqRQyfJIWWLz2gyEeYwwhoiLOQwcvrMIedmDqExY6pZFjbMnOlTWEyJktUaTWrTljFZTFLX7w+/3l8XlWwms+f9drtut67X+3V4vl/va5/PzbNXz8vc3JyePXuSlZX1yNpbt26lU6dO1K5dm+joaCIjIzExMVH6hYSE0Lp1azZv3oytrS3GxsYMGjRIuX8hhBBCCCGEEOKfShLCQghRBePGjaNHjx506dKlymPeffddgoODSUlJwd7ensGDB3Pv3j309fUZNGgQERERGv0jIiLo378/hoaGFBYW0rNnT5o3b05ycjIhISEEBweXu86MGTMIDQ0lIyODli1bMm3aNL744guioqI4c+YMzZo1w9vbm+vXrysJ0KioKL788ktKSkp46623eO211xgxYkSVY+vUqRM//fQTu3fvJjU1lWnTplFaWgrAzp07mThxIlOmTOH8+fO8/fbbDB8+nLi4uCfc9fuJ2fDwcE6cOEFubi6+vr6EhYWxZcsW9u7dy6FDh1izZo3S/9atW0yePJnTp08TGxtLjRo16Nu3rxLbg3s2ceJEMjIy8Pb2LnftrKwsdu3axZ49e9izZw9Hjx4lNDS0wliLioq4efOmxksIIYQQQgghhHjeyN8VCyHEY8TExHDmzBnllG1VBQcH06PH/T+NnTdvHs7Ozly8eBFHR0dGjhxJ+/btycvLw9ramvz8fPbt28eRI0cA2LJlC6WlpXz88cfUrl0bZ2dnfvzxR8aMGfPIOvPnz+e1114D7idE161bR2RkJN27dwdgw4YNHD58mI8//pipU6fSunVrFi5cyMiRIxk0aBCXL19mz549ynxVie3q1askJSVhZmYGQLNmzZTxy5Ytw9/fn7FjxwIwefJkvvnmG5YtW8arr776RHu4cOFCOnToAEBAQAAzZ84kKyuLJk2aANC/f3/i4uKYPn06AG+88YbG+E2bNmFhYUF6ejotWrRQ2idNmkS/fv0qXbu0tJTIyEgMDQ0BGDJkCLGxsSxatKjc/kuWLGHevHlPdH9CCCGEEEIIIcSzJieEhRCiErm5uUycOJHo6Ghq1679yPXAwEAMDAyU14MerDVsbW0NQH5+PgDt2rXD2dmZqKgoAD799FMaNWpEx44dAZTTvg+u6eHhUW6Mbm5uys9ZWVkUFxcrSVSAmjVr0q5dOzIyMpS2KVOmYG9vT3h4OJs2bcLc3Fy59rjYUlJSaNOmjZIMflhGRobG+gAdOnTQWL+qHtzDunXroqenpySDy9rK9hTgwoULDB48mCZNmmBkZIStrS0AOTk5GvM+uGcVsbW1VZLBgJIcr8jMmTMpKChQXrm5uY9dQwghhBBCCCGEeNYkISyEEJVITk4mPz8fV1dXtLW10dbW5ujRo6xevRptbW3mzZtHSkqK8npQzZo1lZ9VKhWARumCkSNHEhkZCdwvyTB8+HCl35PQ19d/4jH5+fl8//33aGlpceHChUeuVxbbX/3ytRo17v9fj1qtVtqKi4vL7fvwHj74vqztwT3t1asX169fZ8OGDZw6dUqpa3z37l2NcVXZs8et9bBatWphZGSk8RJCCCGEEEIIIZ43khAWQohKeHl5kZaWppH0dXNzw8/Pj5SUFOrWrUuzZs2U15N46623uHz5MqtXryY9PZ1hw4Yp15ycnDh37hx37txR2r755pvHzln2RW4JCQlKW3FxMUlJSTRv3lxpGzFiBC4uLkRFRTF9+vRHTu9WFlvLli1JSUnh+vXr5cbg5OSksT5AQkKCsr6FhQUAeXl5yvWHk+l/xrVr18jMzGTWrFl4eXnh5OTEb7/99pfnFUIIIYQQQgghXiRSQ1gIISphaGioUXsW7p8uNTc3f6T9SZmamtKvXz+mTp1K165dadCggXLtzTff5N1332XUqFHMnDmT7Oxsli1b9tg59fX1GTNmDFOnTsXMzIyGDRuydOlSbt++TUBAAAAffPABJ0+e5Ny5c9jY2LB37178/Pz45ptv0NHReWxsgwcPZvHixfTp04clS5ZgbW3N2bNnqVevHh4eHkydOhVfX1/atGlDly5d+Oqrr9ixY4dSg1hXV5eXX36Z0NBQGjduTH5+PrNmzfpLe1kWs7m5OR999BHW1tbk5OQwY8aMvzyvEEK8SLJDe1R3CEIIIYQQoprJCWEhhKhGAQEB3L17lxEjRmi0GxgY8NVXX5GWlkabNm149913ee+996o0Z2hoKG+88QZDhgzB1dWVixcvcvDgQUxNTfnuu++YOnUqa9euxcbGBoC1a9fy66+/Mnv27CrFpqOjw6FDh7C0tMTHxwcXFxdCQ0PR0tICoE+fPqxatYply5bh7OzM+vXriYiIwNPTU5lj06ZN3Lt3j7Zt2zJp0iQWLlz4pFv3iBo1ahATE0NycjItWrTgnXfe4f333//L8wohhBBCCCGEEC8SlfrBIo5CCCGeqc2bN/POO+9w5coV5XTu8+J5ju2f4ObNmxgbG1NQUCD1hIUQQgghhBBC/O2q+u9QKRkhhBDV4Pbt2+Tl5REaGsrbb7/9XCVcn+fYhBBCCCGEEEII8ddIyQghhKgGS5cuxdHRESsrK2bOnFnd4Wh4nmMTQgghhBBCCCHEXyMJYSGEqAYhISEUFxcTGxuLgYFBhf38/f3p06fPE81ta2tLWFjY3x7b40RGRmJiYvKnxz9OfHw8KpWKGzduKG27du2iWbNmaGlpMWnSpL9tbSGEEEIIIYQQ4p9KEsJCiBdWaGgoKpXquUgM/t3JUXHf22+/Tf/+/cnNzWXBggVVGuPp6flcfEaEEEIIIYQQQohnQWoICyFeSElJSaxfv56WLVtWdyjiGSksLCQ/Px9vb2/q1atX3eEIIcRj2c7Y+8zXzA7t8czXFEIIIYQQzxc5ISyEeOEUFhbi5+fHhg0bMDU1rdKY6dOnY29vj56eHk2aNGH27NkUFxdr9Pnqq69wd3endu3a1KlTh759+yrXioqKCA4Opn79+ujr6/PSSy8RHx8P3C9tMHz4cAoKClCpVKhUKkJCQpg/fz4tWrR4JJbWrVsze/bscuP09PQkKCiIoKAgjI2NqVOnDrNnz0atVmv0u337NiNGjMDQ0JCGDRvy0UcfaVzPzc3F19cXExMTzMzM6N27N9nZ2cr1slIVy5Ytw9raGnNzc8aNG6exJ7/99htDhw7F1NQUPT09unfvzoULF6q03wB3794lKCgIa2trateuTaNGjViyZAkA2dnZqFQqUlJSlP43btxApVIp+/qg+Ph4DA0NAejcubPS79q1awwePJj69eujp6eHi4sLn332mcZ9Hj16lFWrVinPpmwfzp8/T/fu3TEwMKBu3boMGTKEX3/9tcr3J4QQQgghhBBCPI8kISyEeOGMGzeOHj160KVLlyqPMTQ0JDIykvT0dFatWsWGDRtYuXKlcn3v3r307dsXHx8fzp49S2xsLO3atVOuBwUFcfLkSWJiYjh37hwDBgygW7duXLhwgfbt2xMWFoaRkRF5eXnk5eURHBzMiBEjyMjIICkpSZnn7NmznDt3juHDh1cYa1RUFNra2iQmJrJq1SpWrFjBxo0bNfosX74cNzc3zp49y9ixYxkzZgyZmZkAFBcX4+3tjaGhIcePHychIQEDAwO6devG3bt3lTni4uLIysoiLi6OqKgoIiMjiYyMVK77+/tz+vRpdu/ezcmTJ1Gr1fj4+DySSK/I6tWr2b17N9u2bSMzM5Po6GhsbW2rNPZh7du3V+7viy++IC8vj/bt23Pnzh3atm3L3r17OX/+PKNHj2bIkCEkJiYCsGrVKjw8PBg1apTybGxsbLhx4wadO3emTZs2nD59mgMHDvDLL7/g6+tbYQxFRUXcvHlT4yWEEEIIIYQQQjxvpGSEEOKFEhMTw5kzZzSSrFUxa9Ys5WdbW1uCg4OJiYlh2rRpACxatIhBgwYxb948pV+rVq0AyMnJISIigpycHKVUQXBwMAcOHCAiIoLFixdjbGyMSqXCyspKGW9gYIC3tzcRERG4u7sDEBERQadOnWjSpEmFsdrY2LBy5UpUKhUODg6kpaWxcuVKRo0apfTx8fFh7NixwP3TzytXriQuLg4HBwe2bt1KaWkpGzduRKVSKeuamJgQHx9P165dATA1NSU8PBwtLS0cHR3p0aMHsbGxjBo1igsXLrB7924SEhJo3749ANHR0djY2LBr1y4GDBjw2D3PycnBzs6O//znP6hUKho1avTYMRXR0dHB0tISADMzM2Wf69evT3BwsNJv/PjxHDx4kG3bttGuXTuMjY3R0dFBT09P49mEh4fTpk0bFi9erLRt2rQJGxsbvv/+e+zt7R+JYcmSJRqfDyGEEEIIIYQQ4nkkJ4SFEC+M3NxcJk6cSHR0NLVr1y63T2BgIAYGBsqrzNatW+nQoQNWVlYYGBgwa9YscnJylOspKSl4eXmVO2daWholJSXY29trzH306FGysrIqjXnUqFF89tln3Llzh7t377JlyxZGjBhR6ZiXX35ZSeQCeHh4cOHCBUpKSpS2B2snlyWi8/PzAUhNTeXixYsYGhoqsZqZmXHnzh2NeJ2dndHS0lLeW1tbK3NkZGSgra3NSy+9pFw3NzfHwcGBjIyMSuMv4+/vT0pKCg4ODkyYMIFDhw5VadyTKCkpYcGCBbi4uGBmZoaBgQEHDx7UeLblSU1NJS4uTuN5Ojo6AlT4TGfOnElBQYHyys3Nfer3I4QQQgghhBBC/FVyQlgI8cJITk4mPz8fV1dXpa2kpIRjx44RHh5OUVER8+fP1zgxCnDy5En8/PyYN28e3t7eGBsbExMTw/Lly5U+urq6Fa5bWFiIlpYWycnJGglUQCPpXJ5evXpRq1Ytdu7ciY6ODsXFxfTv3/9JbrtcNWvW1HivUqkoLS1V4m3bti3R0dGPjLOwsKjSHE+Dq6srly5dYv/+/Rw5cgRfX1+6dOnC559/To0a939f+WBt5KqWonjQ+++/z6pVqwgLC8PFxQV9fX0mTZqkURqjPIWFhfTq1Yv33nvvkWvW1tbljqlVqxa1atV64hiFEEIIIYQQQohnSRLCQogXhpeXF2lpaRptw4cPx9HRkenTp6OlpYWlpaVSWqDMiRMnaNSoEe+++67SdvnyZY0+LVu2JDY2ttzavm3atKGkpIT8/HxeeeWVcmPT0dHROMFbRltbm2HDhhEREYGOjg6DBg2qNPkMcOrUKY3333zzDXZ2do8koyvi6urK1q1bsbS0xMjIqEpjHubk5MS9e/c4deqUUjLi2rVrZGZm0rx58yrPY2RkxMCBAxk4cCD9+/enW7duXL9+XUlM5+Xl0aZNGwCNL5irqoSEBHr37s1bb70FQGlpKd9//71GjOU9G1dXV7744gtsbW3R1pb/qxRC/D2yQ3tUdwhCCCGEEOJfSEpGCCFeGIaGhrRo0ULjpa+vj7m5OS1atKhwnJ2dHTk5OcTExJCVlcXq1avZuXOnRp+5c+fy2WefMXfuXDIyMkhLS1NOj9rb2+Pn58fQoUPZsWMHly5dIjExkSVLlrB3717gfl3iwsJCYmNj+fXXX7l9+7Yy98iRI/nf//7HgQMHHlsuAu7X3p08eTKZmZl89tlnrFmzhokTJ1Z5n/z8/KhTpw69e/fm+PHjXLp0ifj4eCZMmMCPP/5YpTns7Ozo3bs3o0aN4uuvvyY1NZW33nqL+vXr07t37yrNsWLFCj777DO+++47vv/+e7Zv346VlRUmJibo6ury8ssvExoaSkZGBkePHtWo81xVdnZ2HD58mBMnTpCRkcHbb7/NL7/8otHH1taWU6dOkZ2dza+//kppaSnjxo3j+vXrDB48mKSkJLKysjh48CDDhw8vN7EvhBBCCCGEEEL8U0hCWAjxr/f666/zzjvvEBQUROvWrTlx4gSzZ8/W6OPp6cn27dvZvXs3rVu3pnPnziQmJirXIyIiGDp0KFOmTMHBwYE+ffqQlJREw4YNAWjfvj2BgYEMHDgQCwsLli5dqoy1s7Ojffv2ODo6atTkrcjQoUP5448/aNeuHePGjWPixImMHj26yverp6fHsWPHaNiwIf369cPJyYmAgADu3LnzRCeGIyIiaNu2LT179sTDwwO1Ws2+ffseKTVREUNDQ5YuXYqbmxvu7u5kZ2ezb98+pVzEpk2buHfvHm3btmXSpEksXLiwyrGVmTVrFq6urnh7e+Pp6YmVlRV9+vTR6BMcHIyWlhbNmzfHwsJC+XLAhIQESkpK6Nq1Ky4uLkyaNAkTExMlPiGEEEIIIYQQ4p9IpX6wQKMQQohnTq1WY2dnx9ixY5k8eXKlfT09PWndujVhYWHPJjjxp928eRNjY2MKCgr+dGkOIYQQQgghhBCiqqr671ApjCiEENXo6tWrxMTE8PPPP5dbn1gIIYQQQgghhBDiaZK/exVCiGpkaWnJ/Pnz+eijj+jbty+TJk165jF4enpWy7p/VUhICK1bt36krW7duqhUKnbt2lUtcQkhhBBCCCGEEM8zSQgLIZ4roaGhqFSq5yJBGRkZiYmJyd+6hlqt5urVq7z55pvs2LGDBQsWVNo/Pj5eykVUICMjg3nz5rF+/Xry8vLo3r17lcZJ8lgIIYQQQgghxL+JlIwQQjw3kpKSWL9+PS1btqzuUKqFmZlZdYfwj5aVlQVA7969UalU1RyNEEI8n2xn7K3uEJ5L2aE9qjsEIYQQQohnRk4ICyGeC4WFhfj5+bFhwwZMTU2rNGb69OnY29ujp6dHkyZNmD17NsXFxRp9vvrqK9zd3alduzZ16tShb9++yrWioiKCg4OpX78++vr6vPTSS8THxwP3T+IOHz6cgoICVCoVKpWKkJAQADZv3oybmxuGhoZYWVnx5ptvkp+fr8wbHx+PSqXi4MGDtGnTBl1dXTp37kx+fj779+/HyckJIyMj3nzzTW7fvq2Me7h0g62tLYsXL2bEiBEYGhrSsGFDPvroI437S0tLo3Pnzujq6mJubs7o0aMpLCxUrvv7+9OnTx/mzZuHhYUFRkZGBAYGcvfuXY15SktLmTZtGmZmZlhZWSn3WubGjRuMHDlSmaNz586kpqYq18vKN2zevBlbW1uMjY0ZNGgQv//+e4XP7/Lly/Tq1QtTU1P09fVxdnZm3759QPmns3ft2lVhojckJIRevXoBUKNGDaVfUlISr732GnXq1MHY2JhOnTpx5swZjT0G6Nu3LyqVSnkP8OWXX+Lq6krt2rVp0qQJ8+bN4969exXejxBCCCGEEEII8U8gCWEhxHNh3Lhx9OjRgy5dulR5jKGhIZGRkaSnp7Nq1So2bNjAypUrlet79+6lb9+++Pj4cPbsWWJjY2nXrp1yPSgoiJMnTxITE8O5c+cYMGAA3bp148KFC7Rv356wsDCMjIzIy8sjLy+P4OBgAIqLi1mwYAGpqans2rWL7Oxs/P39H4kvJCSE8PBwTpw4QW5uLr6+voSFhbFlyxb27t3LoUOHWLNmTaX3uHz5ctzc3Dh79ixjx45lzJgxZGZmAnDr1i28vb0xNTUlKSmJ7du3c+TIEYKCgjTmiI2NJSMjg/j4eD777DN27NjBvHnzNPpERUWhr6/PqVOnWLp0KfPnz+fw4cPK9QEDBigJ7eTkZFxdXfHy8uL69etKn6ysLHbt2sWePXvYs2cPR48eJTQ0tMJ7Gy62Cg0AAQAASURBVDduHEVFRRw7doy0tDTee+89DAwMKt2PigQHBxMREQGgPC+A33//nWHDhvH111/zzTffYGdnh4+Pj5KoTkpKAiAiIoK8vDzl/fHjxxk6dCgTJ04kPT2d9evXExkZyaJFi/5UfEIIIYQQQgghxPNCSkYIIapdTEwMZ86cUZJxVTVr1izlZ1tbW4KDg4mJiWHatGkALFq0iEGDBmkkP1u1agVATk4OERER5OTkUK9ePeB+UvHAgQNERESwePFijI2NUalUWFlZaaw7YsQI5ecmTZqwevVq3N3dKSws1EhoLly4kA4dOgAQEBDAzJkzycrKokmTJgD079+fuLg4pk+fXuE9+vj4MHbsWOD+ieiVK1cSFxeHg4MDW7Zs4c6dO3zyySfo6+sDEB4eTq9evXjvvfeoW7cuADo6OmzatAk9PT2cnZ2ZP38+U6dOZcGCBdSocf/3gi1btmTu3LkA2NnZER4eTmxsLK+99hpff/01iYmJ5OfnU6tWLQCWLVvGrl27+Pzzzxk9ejRw/5RxZGQkhoaGAAwZMoTY2NgKk6g5OTm88cYbuLi4KHv5ZxkYGCgnih98Xp07d9bo99FHH2FiYsLRo0fp2bMnFhYWAJiYmGiMmzdvHjNmzGDYsGFKbAsWLGDatGnKPj2sqKiIoqIi5f3Nmzf/9P0IIYQQQgghhBB/FzkhLISoVrm5uUycOJHo6Ghq165dbp/AwEAMDAyUV5mtW7fSoUMHrKysMDAwYNasWeTk5CjXU1JS8PLyKnfOtLQ0SkpKsLe315j76NGjSi3aiiQnJ9OrVy8aNmyIoaEhnTp1AtBYG9CohVy3bl2ltMWDbQ+WmijPg3OUJafLxmRkZNCqVSslGQzQoUMHSktLlVPEcD8Jrqenp7z38PCgsLCQ3NzcctcBsLa2VtZJTU2lsLAQc3Nzjb26dOmSxl7Z2toqyeCH5yjPhAkTlKT53LlzOXfuXKV78Wf88ssvjBo1Cjs7O4yNjTEyMqKwsPCRZ/Ww1NRU5s+fr3G/o0aNIi8vT6PMx4OWLFmCsbGx8rKxsXnq9yOEEEIIIYQQQvxVckJYCFGtkpOTyc/Px9XVVWkrKSnh2LFjhIeHU1RUxPz585VyDWVOnjyJn58f8+bNw9vbG2NjY2JiYli+fLnSR1dXt8J1CwsL0dLSIjk5GS0tLY1rlZUtKCvT4O3tTXR0NBYWFuTk5ODt7f1IXd6aNWsqP6tUKo33ZW2lpaUVrvXwHFUd82dUtk5hYSHW1tZKfeUHPVjn90ljHTlyJN7e3kr5jCVLlrB8+XLGjx9PjRo1UKvVGv0frg9dFcOGDePatWusWrWKRo0aUatWLTw8PB55Vg8rLCxk3rx59OvX75FrFf3iYubMmUyePFl5f/PmTUkKCyGEEEIIIYR47khCWAhRrby8vEhLS9NoGz58OI6OjkyfPh0tLS0sLS2xtLTU6HPixAkaNWrEu+++q7RdvnxZo0/Lli2JjY1l+PDhj6zbpk0bSkpKyM/P55VXXik3Nh0dHUpKSjTavvvuO65du0ZoaKiS7Dt9+nTVb/gpcnJyIjIyklu3bimnhBMSEqhRowYODg5Kv9TUVP744w8lQf7NN99gYGBQ5WSlq6srP//8M9ra2hpfuvY02NjYEBgYSGBgIDNnzmTDhg2MHz8eCwsLfv/9d417S0lJeeL5ExISWLt2LT4+PsD9E+m//vqrRp+aNWs+8pxdXV3JzMykWbNmVV6rVq1aSkkNIYQQQgghhBDieSUJYSFEtTI0NKRFixYabfr6+pibmz/S/iA7OztycnKIiYnB3d2dvXv3snPnTo0+c+fOxcvLi6ZNmzJo0CDu3bvHvn37mD59Ovb29vj5+TF06FCWL19OmzZtuHr1KrGxsbRs2ZIePXpga2tLYWEhsbGxStmFhg0boqOjw5o1awgMDOT8+fMsWLDgb9mbx/Hz82Pu3LkMGzaMkJAQrl69yvjx4xkyZIhSPxjg7t27BAQEMGvWLLKzs5k7dy5BQUFK/eDH6dKlCx4eHvTp04elS5dib2/PlStXlC/tc3Nz+1PxT5o0ie7du2Nvb89vv/1GXFwcTk5OALz00kvo6enx3//+lwkTJnDq1CkiIyOfeA07Ozs2b96Mm5sbN2/eZOrUqY+cHLe1tSU2NpYOHTpQq1YtTE1NmTNnDj179qRhw4b079+fGjVqkJqayvnz51m4cOGful8hhHgeZIf2qO4QhBBCCCFENZMawkKIf6TXX3+dd955h6CgIFq3bs2JEyeYPXu2Rh9PT0+2b9/O7t27ad26NZ07dyYxMVG5HhERwdChQ5kyZQoODg706dOHpKQkGjZsCED79u0JDAxk4MCBWFhYsHTpUiwsLIiMjGT79u00b96c0NBQli1b9kzvvYyenh4HDx7k+vXruLu7079/f7y8vAgPD9fo5+XlhZ2dHR07dmTgwIG8/vrrhISEVHkdlUrFvn376NixI8OHD8fe3p5BgwZx+fJljcTzkyopKWHcuHE4OTnRrVs37O3tWbt2LQBmZmZ8+umn7Nu3DxcXFz777LMnirnMxx9/zG+//YarqytDhgxhwoQJj5w2X758OYcPH8bGxoY2bdoA4O3tzZ49ezh06BDu7u68/PLLrFy5kkaNGv3p+xVCCCGEEEIIIZ4HKvXDRRqFEEK8MPz9/blx4wa7du2q7lD+dW7evImxsTEFBQUYGRlVdzhCCCGEEEIIIV5wVf13qJwQFkIIIYQQQgghhBBCiH8JSQgLIYQQQgghhBBCCCHEv4QkhIUQLzRPT08mTZpUaR9bW1vCwsKe6rr+/v706dPnqc75Z3h6ehIfH/9EY56X2J+WqjxflUolZTWEEEIIIYQQQvwrSEJYiH+J0NBQVCrVY5Ojf7fIyEhMTEye2Xo7duxgwYIFz2w98fxJSkpi9OjR1R2GEEIIIYQQQgjxXNCu7gCEEH+/pKQk1q9fT8uWLas7lGfOzMysukMQf8Ldu3fR0dF5KnNZWFg8lXmEEOJFYDtjb3WH8ELKDu1R3SEIIYQQQlSZnBAW4gVXWFiIn58fGzZswNTU9LH9p0+fjr29PXp6ejRp0oTZs2dTXFys0eerr77C3d2d2rVrU6dOHfr27atcKyoqIjg4mPr166Ovr89LL72klCyIj49n+PDhFBQUoFKpUKlUhISEALB582bc3NwwNDTEysqKN998k/z8fGXe+Ph4VCoVBw8epE2bNujq6tK5c2fy8/PZv38/Tk5OGBkZ8eabb3L79m1l3MMlI/Lz8+nVqxe6uro0btyY6OjoR/YgJyeH3r17Y2BggJGREb6+vvzyyy/K9ZCQEFq3bs369euxsbFBT08PX19fCgoKHplr2bJlWFtbY25uzrhx4zT2srK9gv87TX3w4EGcnJwwMDCgW7du5OXlAXDs2DFq1qzJzz//rLHmpEmTeOWVVx6JpczChQuxtLTE0NCQkSNHMmPGDFq3bl1h//JKLrRu3Vp5dgA3btzg7bffpm7dutSuXZsWLVqwZ88ejf16UFhYGLa2tsr7sjIVixYtol69ejg4OACQlpZG586d0dXVxdzcnNGjR1NYWPjIuMr2+eH4L1y4QMeOHalduzbNmzfn8OHDj9xzbm4uvr6+mJiYYGZmRu/evcnOzq5wj4QQQgghhBBCiH8KSQgL8YIbN24cPXr0oEuXLlXqb2hoSGRkJOnp6axatYoNGzawcuVK5frevXvp27cvPj4+nD17ltjYWNq1a6dcDwoK4uTJk8TExHDu3DkGDBhAt27duHDhAu3btycsLAwjIyPy8vLIy8sjODgYgOLiYhYsWEBqaiq7du0iOzsbf3//R+ILCQkhPDycEydOKEm7sLAwtmzZwt69ezl06BBr1qyp8P78/f3Jzc0lLi6Ozz//nLVr12oknktLS+nduzfXr1/n6NGjHD58mB9++IGBAwdqzHPx4kW2bdvGV199xYEDBzh79ixjx47V6BMXF0dWVhZxcXFERUURGRlJZGRklfaqzO3bt1m2bBmbN2/m2LFj5OTkKHvWsWNHmjRpwubNm5X+xcXFREdHM2LEiHLvPzo6mkWLFvHee++RnJxMw4YNWbduXYX7VRWlpaV0796dhIQEPv30U9LT0wkNDUVLS+uJ5omNjSUzM5PDhw+zZ88ebt26hbe3N6ampiQlJbF9+3aOHDlCUFCQxrjH7fPDsfbr1w8dHR1OnTrFhx9+yPTp0zX6FBcX4+3tjaGhIcePHychIUFJxt+9e/eJ7kkIIYQQQgghhHjeSMkIIV5gMTExnDlzhqSkpCqPmTVrlvKzra0twcHBxMTEMG3aNAAWLVrEoEGDmDdvntKvVatWwP2TtREREeTk5FCvXj0AgoODOXDgABERESxevBhjY2NUKhVWVlYa6z6YwGzSpAmrV6/G3d2dwsJCDAwMlGsLFy6kQ4cOAAQEBDBz5kyysrJo0qQJAP379ycuLu6RJB/A999/z/79+0lMTMTd3R2Ajz/+GCcnJ6VPbGwsaWlpXLp0CRsbGwA++eQTnJ2dSUpKUsbduXOHTz75hPr16wOwZs0aevTowfLly5V7MzU1JTw8HC0tLRwdHenRowexsbGMGjWqSnsF95OTH374IU2bNgXuJ5Hnz5+vxBsQEEBERARTp04F7p/evnPnDr6+vuU9XtasWUNAQADDhw8HYM6cORw6dEjj1O2TOnLkCImJiWRkZGBvbw+gPI8noa+vz8aNG5VSERs2bFD2WV9fH4Dw8HB69erFe++9R926dYHK97m8WL/77jsOHjyo7PvixYvp3r270mfr1q2UlpayceNGVCoVABEREZiYmBAfH0/Xrl3Ljb+oqIiioiLl/c2bN594D4QQQgghhBBCiL+bnBAW4gWVm5vLxIkTiY6Opnbt2o9cDwwMxMDAQHmV2bp1Kx06dMDKygoDAwNmzZpFTk6Ocj0lJQUvL69y10xLS6OkpAR7e3uNuY8ePUpWVlal8SYnJ9OrVy8aNmyIoaEhnTp1AtBYG9Cog1y3bl2ltMWDbQ+e+H1QRkYG2tratG3bVmlzdHTU+JK7jIwMbGxslGQwQPPmzTExMSEjI0Npa9iwoZIMBvDw8KC0tJTMzEylzdnZWeOUrLW1tRJbVfdKT09PSQY/PAfcP/F88eJFvvnmG+B+mQlfX18lgfqwzMxMjRPdwCPvn1RKSgoNGjRQksF/louLi0bd4IyMDFq1aqVxLx06dHiifX5Y2fMtSwbD/Wf3oNTUVC5evIihoaHyXMzMzLhz506ln+MlS5ZgbGysvB78DAkhhBBCCCGEEM8LOSEsxAsqOTmZ/Px8XF1dlbaSkhKOHTtGeHg4P/30k1J6oMzJkyfx8/Nj3rx5eHt7Y2xsTExMDMuXL1f66OrqVrhmYWEhWlpaJCcnP1Iu4MGk88PKSgN4e3sTHR2NhYUFOTk5eHt7P/In+jVr1lR+VqlUGu/L2kpLSytc61mqLLaq7lV5c6jVauW9paUlvXr1IiIigsaNG7N//36NOsRPQ40aNTTWBDRq9Fb2majK+DIVJbEf52l/BgoLC2nbtm259aUr+4K6mTNnMnnyZOX9zZs3JSkshBBCCCGEEOK5IwlhIV5QXl5epKWlabQNHz4cR0dHpk+fTt26dZU/uS9z4sQJGjVqxLvvvqu0Xb58WaNPy5YtiY2NVUoOPKhNmzaUlJSQn59f4Zea6ejoUFJSotH23Xffce3aNUJDQ5UE2unTp6t+s1Xk6OjIvXv3SE5OVko/ZGZmcuPGDaWPk5MTubm55ObmKrGkp6dz48YNmjdvrvTLycnhypUryknTb775hho1aihfhvY4Vdmrqho5ciSDBw+mQYMGNG3aVCmpUR4HBweSkpIYOnSo0va4kiIWFhbKF9nB/UTnpUuXlPctW7bkxx9/5Pvvvy/3lLCFhQU///wzarVaKcGQkpLy2PtycnIiMjKSW7duKcnihISEJ9rn8ubMzc0lLy8Pa2trAOV0dRlXV1e2bt2KpaUlRkZGVZ67Vq1a1KpV60/FJYQQQgghhBBCPCuSEBbiBWVoaEiLFi002vT19TE3N3+kvYydnR05OTnExMTg7u7O3r172blzp0afuXPn4uXlRdOmTRk0aBD37t1j3759TJ8+HXt7e/z8/Bg6dCjLly+nTZs2XL16ldjYWFq2bEmPHj2wtbWlsLCQ2NhYWrVqhZ6eHg0bNkRHR4c1a9YQGBjI+fPnWbBgwVPfEwcHB7p168bbb7/NunXr0NbWZtKkSRonXLt06YKLiwt+fn6EhYVx7949xo4dS6dOnXBzc1P61a5dm2HDhrFs2TJu3rzJhAkT8PX1faQ2ckWqsldV5e3tjZGREQsXLtSoL1ye8ePHM2rUKNzc3Gjfvj1bt27l3Llzldb87dy5M5GRkfTq1QsTExPmzJmjcaq5U6dOdOzYkTfeeIMVK1bQrFkzvvvuO1QqFd26dcPT05OrV6+ydOlS+vfvz4EDB9i/f/9jk61+fn7MnTuXYcOGERISwtWrVxk/fjxDhgx55JcZVdWlSxfs7e0ZNmwY77//Pjdv3tT4BUjZuu+//z69e/dm/vz5NGjQgMuXL7Njxw6mTZtGgwYN/tTaQgjxPMgOrfr/vwghhBBCiBeT1BAWQihef/113nnnHYKCgmjdujUnTpxg9uzZGn08PT3Zvn07u3fvpnXr1nTu3JnExETlekREBEOHDmXKlCk4ODjQp08fkpKSaNiwIQDt27cnMDCQgQMHYmFhwdKlS7GwsCAyMpLt27fTvHlzQkNDWbZs2d9yjxEREdSrV49OnTrRr18/Ro8ejaWlpXJdpVLx5ZdfYmpqSseOHenSpQtNmjRh69atGvM0a9aMfv364ePjQ9euXWnZsiVr16594lgq26uqqlGjBv7+/pSUlGic/C2Pn58fM2fOJDg4GFdXVy5duoS/v3+5dabLzJw5k06dOtGzZ0969OhBnz59NOoaA3zxxRe4u7szePBgmjdvzrRp05ST4E5OTqxdu5YPPviAVq1akZiY+Ei5kvLo6elx8OBBrl+/jru7O/3798fLy4vw8PAq7Er5atSowc6dO/njjz9o164dI0eOZNGiRY+se+zYMRo2bEi/fv1wcnIiICCAO3fuPNGJYSGEEEIIIYQQ4nmkUj9c2FEIIUSlQkJC2LVrV5XKHjwrAQEBXL16ld27dz/x2Ndeew0rKys2b978N0T273Xz5k2MjY0pKCiQRLIQQgghhBBCiL9dVf8dKiUjhBDiH6ygoIC0tDS2bNlSpWTw7du3+fDDD/H29kZLS4vPPvuMI0eOcPjw4WcQrRBCCCGEEEIIIaqbJISFEOIfrHfv3iQmJhIYGMhrr7322P4qlYp9+/axaNEi7ty5g4ODA1988QVdunR5BtEKIYQQQgghhBCiuknJCCGEEI/l6elJ69atCQsLq7CPra0tkyZNYtKkSU9tXX9/f27cuMGuXbue2px/RnZ2No0bN+bs2bO0bt26SmOkZIQQQgghhBBCiGepqv8OlS+VE0KIJxAaGopKpXqqSc8/IzIyEhMTk2e23o4dO1iwYMEzW08IIYQQQgghhBB/DykZIYQQVZSUlMT69etp2bJldYfyzJmZmVV3CEIIIZ4C2xl7qzuE51Z2aI/qDkEIIYQQ4pmQE8JCCFEFhYWF+Pn5sWHDBkxNTR/bf/r06djb26Onp0eTJk2YPXs2xcXFGn2++uor3N3dqV27NnXq1KFv377KtaKiIoKDg6lfvz76+vq89NJLxMfHAxAfH8/w4cMpKChApVKhUqkICQkBYPPmzbi5uWFoaIiVlRVvvvkm+fn5yrzx8fGoVCoOHjxImzZt0NXVpXPnzuTn57N//36cnJwwMjLizTff5Pbt28o4T09PjVPR+fn59OrVC11dXRo3bkx0dPQje5CTk0Pv3r0xMDDAyMgIX19ffvnlF+V6SEgIrVu3Zv369djY2KCnp4evry8FBQWPzLVs2TKsra0xNzdn3LhxGntZ2V7B/52mPnjwIE5OThgYGNCtWzfy8vKUPqWlpcyfP58GDRpQq1YtWrduzYEDByp4ukIIIYQQQgghxD+XJISFEKIKxo0bR48ePar85WuGhoZERkaSnp7OqlWr2LBhAytXrlSu7927l759++Lj48PZs2eJjY2lXbt2yvWgoCBOnjxJTEwM586dY8CAAXTr1o0LFy7Qvn17wsLCMDIyIi8vj7y8PIKDgwEoLi5mwYIFpKamsmvXLrKzs/H3938kvpCQEMLDwzlx4gS5ubn4+voSFhbGli1b2Lt3L4cOHWLNmjUV3p+/vz+5ubnExcXx+eefs3btWo3Ec2lpKb179+b69escPXqUw4cP88MPPzBw4ECNeS5evMi2bdv46quvOHDgAGfPnmXs2LEafeLi4sjKyiIuLo6oqCgiIyOJjIys0l6VuX37NsuWLWPz5s0cO3aMnJwcZc8AVq1axfLly1m2bBnnzp3D29ub119/XWMOIYQQQgghhBDiRSAlI4QQ4jFiYmI4c+YMSUlJVR4za9Ys5WdbW1uCg4OJiYlh2rRpACxatIhBgwYxb948pV+rVq2A+ydrIyIiyMnJoV69egAEBwdz4MABIiIiWLx4McbGxqhUKqysrDTWHTFihPJzkyZNWL16Ne7u7hQWFmJgYKBcW7hwIR06dAAgICCAmTNnkpWVRZMmTQDo378/cXFxTJ8+/ZF7+/7779m/fz+JiYm4u7sD8PHHH+Pk5KT0iY2NJS0tjUuXLmFjYwPAJ598grOzM0lJScq4O3fu8Mknn1C/fn0A1qxZQ48ePVi+fLlyb6ampoSHh6OlpYWjoyM9evQgNjaWUaNGVWmv4H6i/MMPP6Rp06bA/STy/PnzlXiXLVvG9OnTGTRoEADvvfcecXFxhIWF8cEHH5T3iB9RVFREUVGR8v7mzZtVGieEEEIIIYQQQjxLckJYCCEqkZuby8SJE4mOjqZ27dqPXA8MDMTAwEB5ldm6dSsdOnTAysoKAwMDZs2aRU5OjnI9JSUFLy+vctdMS0ujpKQEe3t7jbmPHj1KVlZWpfEmJyfTq1cvGjZsiKGhIZ06dQLQWBvQqINct25dpbTFg20Pnvh9UEZGBtra2rRt21Zpc3R01PiSu4yMDGxsbJRkMEDz5s0xMTEhIyNDaWvYsKGSDAbw8PCgtLSUzMxMpc3Z2RktLS3lvbW1tRJbVfdKT09PSQY/PMfNmze5cuWKkiAv06FDB41YH2fJkiUYGxsrrwfvXQghhBBCCCGEeF7ICWEhhKhEcnIy+fn5uLq6Km0lJSUcO3aM8PBwfvrpJ43SAwAnT57Ez8+PefPm4e3tjbGxMTExMSxfvlzpo6urW+GahYWFaGlpkZycrJEIBTSSzg+7desW3t7eeHt7Ex0djYWFBTk5OXh7e3P37l2NvjVr1lR+VqlUGu/L2kpLSytc61mqLLaq7lV5c6jV6qca58yZM5k8ebLy/ubNm5IUFkIIIYQQQgjx3JGEsBBCVMLLy4u0tDSNtuHDh+Po6Mj06dOpW7cudevW1bh+4sQJGjVqxLvvvqu0Xb58WaNPy5YtiY2NZfjw4Y+s2aZNG0pKSsjPz+eVV14pNy4dHR1KSko02r777juuXbtGaGiokog8ffp01W+2ihwdHbl37x7JyclK6YfMzExu3Lih9HFyciI3N5fc3FwllvT0dG7cuEHz5s2Vfjk5OVy5ckUp9/DNN99Qo0YNHBwcqhRLVfbqcYyMjKhXrx4JCQnKiWqAhIQEjbrOj1OrVi1q1ar1p2IQQgghhBBCCCGeFUkICyFEJQwNDWnRooVGm76+Pubm5o+0l7GzsyMnJ4eYmBjc3d3Zu3cvO3fu1Ogzd+5cvLy8aNq0KYMGDeLevXvs27eP6dOnY29vj5+fH0OHDmX58uW0adOGq1evEhsbS8uWLenRowe2trYUFhYSGxtLq1at0NPTo2HDhujo6LBmzRoCAwM5f/48CxYseOp74uDgQLdu3Xj77bdZt24d2traTJo0SePUc5cuXXBxccHPz4+wsDDu3bvH2LFj6dSpE25ubkq/2rVrM2zYMJYtW8bNmzeZMGECvr6+j9RGrkhV9qoqpk6dyty5c2natCmtW7cmIiKClJQUoqOjn2xzhBDiOZcdWrX/XRRCCCGEEC8uqSEshBBP2euvv84777xDUFAQrVu35sSJE8yePVujj6enJ9u3b2f37t20bt2azp07k5iYqFyPiIhg6NChTJkyBQcHB/r06UNSUhINGzYEoH379gQGBjJw4EAsLCxYunQpFhYWREZGsn37dpo3b05oaCjLli37W+4xIiKCevXq0alTJ/r168fo0aOxtLRUrqtUKr788ktMTU3p2LEjXbp0oUmTJmzdulVjnmbNmtGvXz98fHzo2rUrLVu2ZO3atU8cS2V7VRUTJkxg8uTJTJkyBRcXFw4cOMDu3buxs7N7oliEEEIIIYQQQojnnUr9tIsoCiGEEFUQEhLCrl27SElJqe5Q/hY3b97E2NiYgoICjIyMqjscIYQQQgghhBAvuKr+O1ROCAshhBBCCCGEEEIIIcS/hCSEhRBCCCGEEEIIIYQQ4l9CEsJCiMfKzs5GpVI99T/t/7vmfV6EhITQunXrJxpja2tLWFjY3xLPk/gzsf+ZNZ7Vs/f09GTSpEmV9nle9l4IIYQQQgghhPg7SUJYiH+ZdevW0bJlS4yMjDAyMsLDw4P9+/dXd1j/eCqVil27dmm0BQcHExsb+0TzJCUlMXr06KcYmQDYsWMHCxYsqO4whBBCCCGEEEKIaqdd3QEIIZ6tBg0aEBoaip2dHWq1mqioKHr37s3Zs2dxdnau7vA0qNVqSkpK0Nb+Z/5PlYGBAQYGBk80xsLC4m+K5p/n7t276OjoPJW5zMzMnso8QgjxT2c7Y+8jbdmhPaohEiGEEEIIUV3khLAQ/zK9evXCx8cHOzs77O3tWbRoEQYGBnzzzTePHfvDDz/w6quvoqenR6tWrTh58iQAt27dwsjIiM8//1yj/65du9DX1+f3338HIDExkTZt2lC7dm3c3Nw4e/asRv/4+HhUKhX79++nbdu21KpVi6+//pqioiImTJiApaUltWvX5j//+Q9JSUkA3LlzB2dnZ41TtVlZWRgaGrJp06Yqx/bjjz8yePBgzMzM0NfXx83NjVOnTin9161bR9OmTdHR0cHBwYHNmzcr12xtbQHo27cvKpVKef9w2QV/f3/69OnDsmXLsLa2xtzcnHHjxlFcXKwx14NlC1QqFRs3bqRv377o6elhZ2fH7t27Ne7l/PnzdO/eHQMDA+rWrcuQIUP49ddfy3+I/9+GDRuwsbFBT0+Pvn37smLFCkxMTCrsX17JhT59+uDv76+8LyoqYvr06djY2FCrVi2aNWvGxx9/DEBkZOQj8+/atQuVSqW8L9uvjRs30rhxY2rXrg1ATk4OvXv3xsDAACMjI3x9ffnll18eGbd582ZsbW0xNjZm0KBByrMtL/78/Hx69eqFrq4ujRs3Jjo6+pF7vnHjBiNHjsTCwgIjIyM6d+5MampqhXskhBBCCCGEEEL8E0hCWIh/sZKSEmJiYrh16xYeHh6P7f/uu+8SHBxMSkoK9vb2DB48mHv37qGvr8+gQYOIiIjQ6B8REUH//v0xNDSksLCQnj170rx5c5KTkwkJCSE4OLjcdWbMmEFoaCgZGRm0bNmSadOm8cUXXxAVFcWZM2do1qwZ3t7eXL9+ndq1axMdHU1UVBRffvklJSUlvPXWW7z22muMGDGiyrF16tSJn376id27d5Oamsq0adMoLS0FYOfOnUycOJEpU6Zw/vx53n77bYYPH05cXByAkpyOiIggLy9PeV+euLg4srKyiIuLIyoqisjISCIjIyvd93nz5uHr68u5c+fw8fHBz8+P69evA/eTlp07d6ZNmzacPn2aAwcO8Msvv+Dr61vhfAkJCQQGBjJx4kRSUlJ47bXXWLRoUaUxVMXQoUP57LPPWL16NRkZGaxfv/6JT0hfvHiRL774gh07dpCSkkJpaSm9e/fm+vXrHD16lMOHD/PDDz8wcOBAjXFZWVns2rWLPXv2sGfPHo4ePUpoaGiF6/j7+5Obm0tcXByff/45a9euJT8/X6PPgAEDyM/PZ//+/SQnJ+Pq6oqXl5ey9w8rKiri5s2bGi8hhBBCCCGEEOK5oxZC/OucO3dOra+vr9bS0lIbGxur9+7dW2n/S5cuqQH1xo0blbZvv/1WDagzMjLUarVaferUKbWWlpb6ypUrarVarf7ll1/U2tra6vj4eLVarVavX79ebW5urv7jjz+UOdatW6cG1GfPnlWr1Wp1XFycGlDv2rVL6VNYWKiuWbOmOjo6Wmm7e/euul69euqlS5cqbUuXLlXXqVNHHRQUpLa2tlb/+uuvyrWqxGZoaKi+du1aufffvn179ahRozTaBgwYoPbx8VHeA+qdO3dq9Jk7d666VatWyvthw4apGzVqpL53757GPAMHDlTeN2rUSL1y5UqNeWfNmqWxH4B6//79arVarV6wYIG6a9euGuvm5uaqAXVmZma59zNw4EB1jx49NNr8/PzUxsbGFcbeqVMn9cSJEzXG9O7dWz1s2DC1Wq1WZ2ZmqgH14cOHy10zIiJCY361Wq3euXOn+sH/G5o7d666Zs2a6vz8fKXt0KFDai0tLXVOTo7SVvbZS0xMVMbp6empb968qfSZOnWq+qWXXio3/rJYy8ar1Wp1RkaGGlD2/vjx42ojIyP1nTt3NGJu2rSpev369eXe49y5c9XAI6+CgoJy+wshRHVoNH3PIy8hhBBCCPFiKCgoqNK/Q+WEsBD/Qg4ODqSkpHDq1CnGjBnDsGHDSE9PByAwMFCpffvw6c6WLVsqP1tbWwMopyrbtWuHs7MzUVFRAHz66ac0atSIjh07AiinfcvKAAAVnkp2c3NTfs7KyqK4uJgOHToobTVr1qRdu3ZkZGQobVOmTMHe3p7w8HA2bdqEubm5cu1xsaWkpNCmTZsK68xmZGRorA/QoUMHjfWrytnZGS0tLeW9tbX1IydTH/bgvuvr62NkZKSMSU1NJS4uTuOZOTo6Avf3rjyZmZm0a9dOo+3h908qJSUFLS0tOnXq9JfmadSokUYd5YyMDGxsbLCxsVHamjdvjomJicb+29raYmhoqLyvbF8zMjLQ1tambdu2Spujo6NGSYvU1FQKCwsxNzfX2NtLly5VuK8zZ86koKBAeeXm5j7x/QshhBBCCCGEEH+3f+Y3NQkh/hIdHR2aNWsGQNu2bUlKSmLVqlWsX7+e+fPnV1jKoWbNmsrPZbVfy8oqAIwcOZIPPviAGTNmEBERwfDhwzVqxFaVvr7+E4/Jz8/n+++/R0tLiwsXLtCtWzeN65XFpqur+8Tr/VkP7iHc38cH9/BJxxQWFtKrVy/ee++9R8aVJe2fhho1aqBWqzXaHqx9/Lg9fNz4Mn/m2cOf29fKFBYWYm1tTXx8/CPXKqq1XKtWLWrVqvWn1xRCCCGEEEIIIZ4FOSEshKC0tJSioiIALC0tadasmfJ6Em+99RaXL19m9erVpKenM2zYMOWak5MT586d486dO0pbVb7IruyL3BISEpS24uJikpKSaN68udI2YsQIXFxciIqKYvr06Y+c3q0stpYtW5KSklJhbVgnJyeN9eF+Hd4H169ZsyYlJSWPvZ+nzdXVlW+//RZbW1uN59asWbMKk6sODg6P1DmurO4xgIWFBXl5ecr7kpISzp8/r7x3cXGhtLSUo0ePVjj+999/59atW0pbSkrK424PJycncnNzNU7bpqenc+PGDY39fxKOjo7cu3eP5ORkpS0zM5MbN24o711dXfn555/R1tZ+ZF/r1Knzp9YVQgghhBBCCCGeB5IQFuJfZubMmRw7dozs7GzS0tKYOXMm8fHx+Pn5/eW5TU1N6devH1OnTqVr1640aNBAufbmm2+iUqkYNWoU6enp7Nu3j2XLlj12Tn19fcaMGcPUqVM5cOAA6enpjBo1itu3bxMQEADABx98wMmTJ4mKisLPz48+ffrg5+fH3bt3qxTb4MGDsbKyok+fPiQkJPDDDz/wxRdfcPLkSQCmTp1KZGQk69at48KFC6xYsYIdO3ZonKS2tbUlNjaWn3/+md9+++0v72VVjRs3juvXrzN48GCSkpLIysri4MGDDB8+vMIE9fjx49m3bx8rVqzgwoULrF+/nv3791d6mrtz587s3buXvXv38t133zFmzBiNBKqtrS3Dhg1jxIgR7Nq1i0uXLhEfH8+2bdsAeOmll9DT0+O///0vWVlZbNmy5bFfpgfQpUsXXFxc8PPz48yZMyQmJjJ06FA6deqkUVrkSTg4ONCtWzfefvttTp06RXJyMiNHjtQ45dylSxc8PDzo06cPhw4dIjs7mxMnTvDuu+9y+vTpP7WuEEI8D7JDezzyEkIIIYQQ/y6SEBbiXyY/P5+hQ4fi4OCAl5cXSUlJHDx4kNdee+2pzB8QEMDdu3cZMWKERruBgQFfffUVaWlptGnThnfffbfcMgflCQ0N5Y033mDIkCG4urpy8eJFDh48iKmpKd999x1Tp05l7dq1Sp3ZtWvX8uuvvzJ79uwqxaajo8OhQ4ewtLTEx8cHFxcXQkNDlVq/ffr0YdWqVSxbtgxnZ2fWr19PREQEnp6eyhzLly/n8OHD2NjY0KZNmyfdtj+tXr16JCQkUFJSQteuXXFxcWHSpEmYmJhQo0b5/xPfoUMHPvzwQ1asWEGrVq04cOAA77zzjkZ954eNGDGCYcOGKcnYJk2a8Oqrr2r0WbduHf3792fs2LE4OjoyatQo5USwmZkZn376Kfv27cPFxYXPPvuMkJCQx96fSqXiyy+/xNTUlI4dO9KlSxeaNGnC1q1bq75J5YiIiKBevXp06tSJfv36MXr0aCwtLTXW3bdvHx07dmT48OHY29szaNAgLl++TN26df/S2kIIIYQQQgghRHVSqR8u6iiEEH/B5s2beeedd7hy5Qo6OjrVHY6G5zm26jZq1Ci+++47jh8/Xt2hvDBu3ryJsbExBQUFGBkZVXc4QgghhBBCCCFecFX9d6h8qZwQ4qm4ffs2eXl5hIaG8vbbbz9XCdfnObbqsmzZMl577TX09fXZv38/UVFRrF27trrDEkIIIYQQQgghxN9MSkYIIZ6KpUuX4ujoiJWVFTNnzqzucDQ8z7FVl8TERF577TVcXFz48MMPWb16NSNHjqzusIQQQgghhBBCCPE3k5IR4l/j448/ZuvWrRw6dKi6Q/lb2draMmnSJCZNmlTdofytPD09ad26NWFhYdUdyiP8/f25ceMGu3btAmDQoEG4u7szZcqU6g3sGXt4H170dR8mJSOEEEIIIYQQQjxLVf13qJwQFv8o69ato2XLlhgZGWFkZISHhwf79+9/7Lg7d+4we/Zs5s6dq7SFhISgUqkIDAzU6JuSkoJKpSI7O/tph/9E/P396dOnz98yt0qlqvZkWRlPT88/lbzesWMHCxYs+Mvr79y5k5dffhljY2MMDQ1xdnZ+6sn0WbNmsWjRIgoKCp7qvE8qPj4elUrFjRs3nsl6q1atIjIy8pmsJYQQQgghhBBCiKqRGsLiH6VBgwaEhoZiZ2eHWq0mKiqK3r17c/bsWZydnSsc9/nnn2NkZESHDh002mvXrs3HH3/MlClTsLOz+7vDF0+RmZnZX54jNjaWgQMHsmjRIl5//XVUKhXp6ekcPnz4KUT4f1q0aEHTpk359NNPGTdu3FOd+3lmbGxc3SEIIYR4iO2MvdUdgngC2aE9qjsEIYQQQryA5ISw+Efp1asXPj4+2NnZYW9vz6JFizAwMOCbb76pdFxMTAy9evV6pN3BwYFXX32Vd99994niuHbtGoMHD6Z+/fro6enh4uLCZ599ptGntLSUpUuX0qxZM2rVqkXDhg1ZtGiRcj03NxdfX19MTEwwMzOjd+/eyqnkkJAQoqKi+PLLL1GpVKhUKuLj4+ncuTNBQUEa61y9ehUdHR1iY2Of6B6eRGX3UpWY1q5di52dHbVr16Zu3br0798fuH8K+ujRo6xatUq5z7I9OH/+PN27d8fAwIC6desyZMgQfv31V2WNh08W29rasnjxYkaMGIGhoSENGzbko48+qvS+vvrqKzp06MDUqVNxcHDA3t6ePn368MEHH1Q4Zv78+bRo0eKR9tatWzN79uwKx/Xq1YuYmJhK41mxYgUuLi7o6+tjY2PD2LFjKSws1OiTkJCAp6cnenp6mJqa4u3tzW+//Qbcf05LliyhcePG6Orq0qpVKz7//HMAsrOzefXVVwEwNTVFpVLh7+8PwIEDB/jPf/6DiYkJ5ubm9OzZk6ysLGXN7OxsVCoV27Zt45VXXkFXVxd3d3e+//57kpKScHNzw8DAgO7du3P16lVl3MOn3D09PZkwYQLTpk3DzMwMKysrQkJCNO4vJyeH3r17Y2BggJGREb6+vvzyyy/K9ZCQEFq3bs369euxsbFBT08PX1/fck9fL1u2DGtra8zNzRk3bhzFxcXKtaKiIoKDg6lfvz76+vq89NJLxMfHK9cjIyMxMTHh4MGDODk5YWBgQLdu3cjLy6v0GQohhBBCCCGEEM87SQiLf6ySkhJiYmK4desWHh4elfb9+uuvcXNzK/daaGgoX3zxBadPn67y2nfu3KFt27bs3buX8+fPM3r0aIYMGUJiYqLSZ+bMmYSGhjJ79mzS09PZsmULdevWBaC4uBhvb28MDQ05fvw4CQkJSsLp7t27BAcH4+vrqySg8vLyaN++PSNHjmTLli0UFRUp63z66afUr1+fzp07Vzn+J1XZvTwuptOnTzNhwgTmz59PZmYmBw4coGPHjsD9kgIeHh6MGjVKuU8bGxtu3LhB586dadOmDadPn+bAgQP88ssv+Pr6Vhrn8uXLcXNz4+zZs4wdO5YxY8aQmZlZYX8rKyu+/fZbzp8/X+W9GDFiBBkZGSQlJSltZ8+e5dy5cwwfPrzCce3atSMxMVFjnx5Wo0YNVq9ezbfffktUVBT/+9//mDZtmnI9JSUFLy8vmjdvzsmTJ/n666/p1asXJSUlACxZsoRPPvmEDz/8kG+//ZZ33nmHt956i6NHj2JjY8MXX3wBQGZmJnl5eaxatQqAW7duMXnyZE6fPk1sbCw1atSgb9++lJaWasQ3d+5cZs2axZkzZ9DW1ubNN99k2rRprFq1iuPHj3Px4kXmzJlT6f5FRUWhr6/PqVOnWLp0KfPnz1dOZJeWltK7d2+uX7/O0aNHOXz4MD/88AMDBw7UmOPixYts27aNr776igMHDijP+0FxcXFkZWURFxdHVFQUkZGRGuUrgoKCOHnyJDExMZw7d44BAwbQrVs3Lly4oPS5ffs2y5YtY/PmzRw7doycnByCg4MrvLeioiJu3ryp8RJCCCGEEEIIIZ43UjJC/OOkpaXh4eHBnTt3MDAwYOfOnTRv3rzC/jdu3KCgoIB69eqVe93V1RVfX1+mT59e5VO29evX10gMjR8/noMHD7Jt2zbatWvH77//zqpVqwgPD2fYsGEANG3alP/85z8AbN26ldLSUjZu3IhKpQIgIiICExMT4uPj6dq1K7q6uhQVFWFlZaWs069fP4KCgvjyyy+V5GhkZCT+/v7KPE/b4+7lcTHl5OSgr69Pz549MTQ0pFGjRrRp0wa4X1JAR0cHPT09jfsMDw+nTZs2LF68WGnbtGkTNjY2fP/999jb25cbq4+Pj5IYnD59OitXriQuLg4HB4dy+48fP57jx4/j4uJCo0aNePnll+natSt+fn7UqlWr3DENGjTA29ubiIgI3N3dgfvPrlOnTjRp0qTCfaxXrx53797l559/plGjRuX2efjE88KFCwkMDGTt2rUALF26FDc3N+U9oJRKKSoqYvHixRw5ckT5BUmTJk34+uuvWb9+PZ06dVLKbFhaWmJiYqLM8cYbb2jEsWnTJiwsLEhPT9c4DR0cHIy3tzcAEydOZPDgwcTGxiqlWAICAh5bM7hly5ZKLW87OzvCw8OJjY3ltddeIzY2lrS0NC5duoSNjQ0An3zyCc7OziQlJSn7fefOHT755BPq168PwJo1a+jRowfLly9XPkempqaEh4ejpaWFo6MjPXr0IDY2llGjRpGTk0NERAQ5OTnK/y4EBwdz4MABIiIilM9dcXExH374IU2bNgXuJ5Hnz59f4b0tWbKEefPmVXr/QgghhBBCCCFEdZMTwuIfx8HBgZSUFE6dOsWYMWMYNmwY6enpAAQGBmJgYKC8AP744w/gfr3giixcuJDjx49z6NChR645Ozsr83Xv3h24fzp5wYIFuLi4YGZmhoGBAQcPHiQnJweAjIwMioqK8PLyKne91NRULl68iKGhoTK3mZkZd+7c0fhT/YfVrl2bIUOGsGnTJgDOnDnD+fPnlT/9f1h5+1GZ48ePa/SPjo5+7L08LqbXXnuNRo0a0aRJE4YMGUJ0dDS3b9+uNI7U1FTi4uI0YnF0dASodH9atmyp/KxSqbCysiI/Px9AKT9hYGCgJFH19fXZu3cvFy9eZNasWRgYGDBlyhTatWvH7du3ycnJ0YihLFE4atQoPvvsM+7cucPdu3fZsmULI0aMqPSedHV1ASq99yNHjuDl5UX9+vUxNDRkyJAhXLt2TRlTdkK4PBcvXuT27du89tprGjF/8sknle4ZwIULFxg8eDBNmjTByMgIW1tbAOXzXObB/S07Ie7i4qLRVrbfFXlwDgBra2tlTEZGBjY2NkoyGKB58+aYmJiQkZGhtDVs2FBJBgN4eHhQWlqqcRrc2dkZLS2tctdJS0ujpKQEe3t7jb06evSoxl7p6ekpyeCH5yjPzJkzKSgoUF65ubmV7oUQQgghhBBCCFEd5ISw+MfR0dGhWbNmALRt25akpCRWrVrF+vXrmT9//iN/0m1ubo5KpVLqrJanadOmjBo1ihkzZvDxxx9rXNu3b59Se7Qsqff++++zatUqwsLClJqvkyZN4u7duxr9KlJYWEjbtm2Jjo5+5JqFhUWlY0eOHEnr1q358ccfiYiIoHPnzhWeOC1vPyrj5uZGSkqK8r5u3bpKTd8/G5OhoSFnzpwhPj6eQ4cOMWfOHEJCQkhKStI4pfqgwsJCevXqxXvvvffINWtr6wrjqFmzpsZ7lUqllD3YuHGj8suBh/s1bdqUpk2bMnLkSN59913s7e3ZunUrQ4YM0diPshO2vXr1olatWuzcuRMdHR2Ki4uVusgVuX79OlDx883OzqZnz56MGTOGRYsWYWZmxtdff01AQAB3795FT0+v0s9VWa3hvXv3aiRLgQpPO5fp1asXjRo1YsOGDdSrV4/S0lJatGihfJ7LPLhvZSfSH257uMzEwyp7Rk9TZesUFhaipaVFcnKyRtIY0PjFSXlzqNXqCtesVavWY/daCCGEEEIIIYSobpIQFv94paWlSl1WS0tLLC0tNa7r6OjQvHlz0tPT6dq1a4XzzJkzh6ZNmz7yxV/lJVsTEhLo3bs3b731lhLD999/r5SusLOzQ1dXl9jYWEaOHPnIeFdXV7Zu3YqlpSVGRkblxqOjo6PUhn2Qi4sLbm5ubNiwgS1bthAeHl7hPZW3H5XR1dVVku1lHncvVYlJW1ubLl260KVLF+bOnYuJiQn/+9//6NevX7n36erqyhdffIGtrS3a2k/nf6YeTpJWxNbWFj09PW7duoW2tvYj+1F2P8OGDSMiIgIdHR0GDRr02F8CnD9/ngYNGlCnTp1yrycnJ1NaWsry5cupUeP+H29s27ZNo0/Lli2JjY0ttyxB8+bNqVWrFjk5OXTq1KncNXR0dAA09vvatWtkZmayYcMGXnnlFeB+ze3q4OTkRG5uLrm5ucop4fT0dG7cuKFRFiYnJ4crV64o5R6++eYbatSoUWFpkIe1adOGkpIS8vPzlXsWQgghhBBCCCH+LSQhLP5RZs6cSffu3WnYsCG///47W7ZsIT4+noMHD1Y6ztvbm6+//lqjRuvD6taty+TJk3n//fcfG4ednR2ff/45J06cwNTUlBUrVvDLL78oSavatWszffp0pk2bho6ODh06dODq1at8++23BAQE4Ofnx/vvv0/v3r2ZP38+DRo04PLly+zYsYNp06bRoEEDbG1tOXjwIJmZmZibm2NsbKycWBw5ciRBQUHo6+vTt2/fqm/gAy5duqRx+rXsvvT19TXaHncvZSqKac+ePfzwww907NgRU1NT9u3bR2lpqZK8s7W15dSpU2RnZyulM8aNG8eGDRsYPHgw06ZNw8zMjIsXLxITE8PGjRsfOdX5Z4WEhHD79m18fHxo1KgRN27cYPXq1RQXF/Paa69VOnbkyJE4OTkB939B8DjHjx+v9BcSzZo1o7i4mDVr1tCrVy8SEhL48MMPNfrMnDkTFxcXxo4dS2BgIDo6OsTFxTFgwADq1KlDcHAw77zzDqWlpfznP/+hoKCAhIQEjIyMGDZsGI0aNUKlUrFnzx58fHzQ1dXF1NQUc3NzPvroI6ytrcnJyWHGjBlV2L2nr0uXLri4uODn50dYWBj37t1j7NixdOrUSeNLIWvXrs2wYcNYtmwZN2/eZMKECfj6+mrUoa6Mvb09fn5+DB06lOXLl9OmTRuuXr1KbGwsLVu2pEePHn/XLQohRLXLDpX/jRNCCCGE+LeTGsLiHyU/P5+hQ4fi4OCAl5cXSUlJHDx48LHJu4CAAPbt20dBQUGl/YKDg6tUa3fWrFm4urri7e2Np6cnVlZW9OnTR6PP7NmzmTJlCnPmzMHJyYmBAwcq9Uf19PQ4duwYDRs2pF+/fjg5OREQEMCdO3eUE8OjRo3CwcEBNzc3LCwsNJKOgwcPRltbm8GDB1daG7kykydPpk2bNhqvs2fPltu3snt5XEwmJibs2LGDzp074+TkxIcffshnn32m1PENDg5GS0uL5s2bY2FhoXzRV0JCAiUlJXTt2hUXFxcmTZqEiYmJcnr2aejUqRM//PADQ4cOxdHRke7du/Pzzz9z6NChx542tbOzo3379jg6OvLSSy9V2vfOnTvs2rWLUaNGVdinVatWrFixgvfee48WLVoQHR3NkiVLNPrY29tz6NAhUlNTadeuHR4eHnz55ZfKKeoFCxYwe/ZslixZgpOTE926dWPv3r00btwYuH9Ket68ecyYMYO6desSFBREjRo1iImJITk5mRYtWvDOO+9U6ZcifweVSsWXX36JqakpHTt2pEuXLjRp0oStW7dq9GvWrBn9+vXDx8eHrl270rJlS40v2quKiIgIhg4dypQpU3BwcKBPnz4kJSXRsGHDp3lLQgghhBBCCCHEc0elrqwgohAvkAEDBuDq6srMmTOrO5S/LDs7m6ZNm5KUlISrq2t1hwM8nzH9ndRqNXZ2dowdO5bJkydX2nfdunXs3Lmz3C8tFE8mJCSEXbt2PXK6/Xl08+ZNjI2NKSgoqLA0jBBCCCGEEEII8bRU9d+hckJY/Gu8//77VTr9+zwrLi7m559/ZtasWbz88svPReL1eYzp73b16lXCw8P5+eefGT58+GP716xZkzVr1jyDyIQQQgghhBBCCCEqJzWExb+Gra0t48ePr+4w/pKEhAReffVV7O3t+fzzz6s7HOD5jOnvZmlpSZ06dfjoo48wNTV9bP+KvoxPCCGEEEIIIYQQ4lmTE8JC/IN4enqiVqvJzMzExcXlqc378ccfV/qFZ9UR08P8/f0fqdNcXdRqNVevXuXNN98E7pcxaN26tXJ9xowZ//hfPlSFra0tYWFhz3TNkJAQbty48czXFUIIIYQQQgghXhSSEBbiBbJu3TpatmyJkZERRkZGeHh4sH///krH3Llzh9mzZzN37txnEuOfTeyuWrWKyMjIv7z+0aNH6dy5M2ZmZujp6WFnZ8ewYcO4e/fuX567THBwMFFRUfzwww9Pbc6qeDgx/XdLSkpi9OjRz2y96uLp6VndIQghhBBCCCGEEE+NlIwQ4gXSoEEDQkNDsbOzQ61WExUVRe/evTl79izOzs7ljvn8888xMjKiQ4cOzzjaJ2NsbPyX50hPT6dbt26MHz+e1atXo6ury4ULF/jiiy8oKSl5ClHeV6dOHby9vVm3bh3vv//+U5v3eWNhYVHdIfxt9uzZQ7169TRqYsfExODq6oq9vX01RiaEEH+N7Yy91R3CCy87tEd1hyCEEEIIUSk5ISzEC6RXr174+PhgZ2eHvb09ixYtwsDAgG+++abCMTExMfTq1euR9k2bNuHs7EytWrWwtrYmKCgIgBEjRtCzZ0+NvsXFxVhaWvLxxx8D95PMLi4u6OrqYm5uTpcuXbh16xYhISFERUXx5ZdfolKpUKlUxMfHA5Cbm4uvry8mJiaYmZnRu3dvsrOzlTUePlns6enJhAkTmDZtGmZmZlhZWRESElLp/hw6dAgrKyuWLl1KixYtaNq0Kd26dWPDhg3o6uqWO+aTTz7B3NycoqIijfY+ffowZMiQCtfq1asXMTExyvuSkhICAgJo3Lgxurq6ODg4sGrVqkfGVbTvADdu3GDkyJFYWFhgZGRE586dSU1NBSAyMpJ58+aRmpqq7G3ZieoVK1bg4uKCvr4+NjY2jB07lsLCQmXeyMhITExM2LNnDw4ODujp6dG/f39u375NVFQUtra2mJqaMmHCBI3E+cMlI1QqFRs3bqRv377K6evdu3dr3N/Ro0dp166dcn8zZszg3r17ynVPT0+CgoIICgrC2NiYOnXqMHv2bNRqtcY8t2/fZsSIERgaGtKwYUM++ugjjetV/TwtW7YMa2trzM3NGTduHMXFxQA0adKEmTNnMnfuXG7cuIGvry9xcXHUqVOn3OcthBBCCCGEEEL8U0hCWIgXVElJCTExMdy6dQsPD48K+3399de4ublptK1bt45x48YxevRo0tLS2L17N82aNQPuf0HagQMHyMvLU/rv2bOH27dvM3DgQPLy8hg8eDAjRowgIyOD+Ph4+vXrh1qtJjg4GF9fX7p160ZeXh55eXm0b9+e4uJivL29MTQ05Pjx4yQkJGBgYEC3bt0qLeUQFRWFvr4+p06dYunSpcyfP5/Dhw9X2N/Kyoq8vDyOHTtW1W1kwIABlJSUaCQ28/Pz2bt3LyNGjKhwXLt27fjxxx+VJGRpaSkNGjRg+/btpKenM2fOHP773/+ybds2ZUxl+14WS35+Pvv37yc5ORlXV1e8vLy4fv06AwcOZMqUKTg7Oyt7O3DgQABq1KjB6tWr+fbbb4mKiuJ///sf06ZN04j39u3brF69mpiYGA4cOEB8fDx9+/Zl37597Nu3j82bN7N+/frHfnHgvHnz8PX15dy5c/j4+ODn58f169cB+Omnn/Dx8cHd3Z3U1FTWrVvHxx9/zMKFCzXmiIqKQltbm8TERFatWsWKFSvYuHGjRp/ly5fj5ubG2bNnGTt2LGPGjCEzMxOgyp+nuLg4srKyiIuLIyoqisjISCWJ3rx5cw4ePMiFCxdITU2lS5curF+/HjMzswrvvaioiJs3b2q8hBBCCCGEEEKI542UjBDiBZOWloaHhwd37tzBwMCAnTt30rx583L73rhxg4KCAurVq6fRvnDhQqZMmcLEiROVNnd3dwDat2+Pg4MDmzdvVpKKERERDBgwAAMDA77//nvu3btHv379aNSoEYDGl83p6upSVFSElZWV0vbpp59SWlrKxo0bUalUypwmJibEx8dX+IV3LVu2VGof29nZER4eTmxsLK+99lq5/QcMGMDBgwfp1KkTVlZWvPzyy3h5eTF06FCMjIzKHaOrq8ubb76p3GNZvA0bNqy0tmzZnl6+fBlbW1tq1qzJvHnzlOuNGzfm5MmTbNu2DV9fX6Dyff/6669JTEwkPz+fWrVqAbBs2TJ27drF559/zujRozEwMEBbW1tjbwEmTZqk/Gxra8vChQsJDAxk7dq1SntxcTHr1q2jadOmAPTv35/Nmzfzyy+/YGBgQPPmzXn11VeJi4tTEs3l8ff3Z/DgwQAsXryY1atXk5iYSLdu3Vi7di02NjaEh4ejUqlwdHTkypUrTJ8+nTlz5lCjxv3fUdrY2LBy5UpUKhUODg6kpaWxcuVKRo0apazj4+PD2LFjAZg+fTorV64kLi4OBwcHtm7dWqXPk6mpKeHh4WhpaeHo6EiPHj2IjY1l1KhRZGZmMmnSJNzd3WnVqhVHjhwhJSWFRYsWYWpqWu69L1myROMZCyGEEEIIIYQQzyM5ISzEC8bBwYGUlBROnTrFmDFjGDZsGOnp6QQGBmJgYKC8AP744w8AateurYzPz8/nypUreHl5VbjGyJEjiYiIAOCXX35h//79ymnZVq1a4eXlhYuLCwMGDGDDhg389ttvlcacmprKxYsXMTQ0VOIzMzPjzp07ZGVlVTiuZcuWGu+tra3Jz88HKPd+tbS0iIiI4Mcff2Tp0qXUr1+fxYsXK6dqAY0xgYGBAIwaNYpDhw7x008/AfdLLPj7+yvJxvKUlaC4ffu20vbBBx/Qtm1bLCwsMDAw4KOPPiInJwd4/L6npqZSWFiIubm5RoyXLl2qdI8Ajhw5gpeXF/Xr18fQ0JAhQ4Zw7do1jdj09PSUZDBA3bp1sbW1VfaurK1sfyvy4DPR19fHyMhIGZORkYGHh4fGvnXo0IHCwkJ+/PFHpe3ll1/W6OPh4cGFCxc0ylU8uI5KpcLKykpZp6qfJ2dnZ7S0tJT3D35+vv/+exYtWsT8+fMxMTFh27ZtvPLKK1y9erXCe585cyYFBQXKKzc3t9K9EkIIIYQQQgghqoOcEBbiBaOjo6OUGWjbti1JSUmsWrWKBQsWEBwcrNHX3NwclUqlkbCtqJbug4YOHcqMGTM4efIkJ06coHHjxrzyyivA/aTr4cOHOXHiBIcOHWLNmjW8++67nDp1isaNG5c7X2FhIW3btiU6OvqRa5V9cVnNmjU13qtUKkpLSwGYP3/+I/dbpn79+gwZMoQhQ4awYMEC7O3t+fDDD5k3bx4pKSlKv7JTw23atKFVq1Z88skndO3alW+//Za9eyv/Up6yMgll8cfExBAcHMzy5cvx8PDA0NCQ999/n1OnTgGP3/fCwkKsra2VmssPMjExqXBcdnY2PXv2ZMyYMSxatAgzMzO+/vprAgICuHv3Lnp6ekD5e1nZ/lbkz4z5Mypbp6qfp8rmKK+udtnJ54rUqlVLOb0thBBCCCGEEEI8ryQhLMQLrrS0lKKiIiwtLbG0tNS4pqOjQ/PmzUlPT1f+jN7Q0BBbW1tiY2N59dVXy53T3NycPn36EBERwcmTJxk+fLjGdZVKRYcOHejQoQNz5syhUaNG7Ny5k8mTJ6Ojo6Nx0hPA1dWVrVu3YmlpWWHphidV3v2Wx9TUFGtra27dugWgUbP3QSNHjiQsLIyffvqJLl26YGNjU+m858+fp2bNmjg7OwOQkJBA+/btlTIHgMZp1cftu6urKz///DPa2trY2tqWu2Z5e5ucnExpaSnLly9XSjI8WLf4WXJycuKLL75ArVYrJ4ATEhIwNDSkQYMGSr+yJHmZb775Bjs7O43TvJV52p+n8pLwQgghhBBCCCHEP5UkhIV4gcycOZPu3bvTsGFDfv/9d7Zs2UJ8fDwHDx6scIy3tzdff/21Rp3ZkJAQAgMDsbS0pHv37vz+++8kJCQwfvx4pc/IkSPp2bMnJSUlDBs2TGk/deoUsbGxdO3aFUtLS06dOsXVq1dxcnIC7tewPXjwIJmZmZibm2NsbIyfnx/vv/8+vXv3Zv78+TRo0IDLly+zY8cOpk2bppEs/CvWr19PSkoKffv2pWnTpty5c4dPPvmEb7/9ljVr1lQ69s033yQ4OJgNGzbwySefPHat48eP88orrygnf+3s7Pjkk084ePAgjRs3ZvPmzSQlJWmcmq5s37t06YKHhwd9+vRh6dKl2Nvbc+XKFfbu3Uvfvn1xc3PD1taWS5cukZKSQoMGDTA0NKRZs2YUFxezZs0aevXqRUJCAh9++OFf28g/aezYsYSFhTF+/HiCgoLIzMxk7ty5TJ48WUlWA+Tk5DB58mTefvttzpw5w5o1a1i+fHmV13lWnychhPgnyg7tUd0hCCGEEEKIaiY1hIV4geTn5zN06FAcHBzw8vIiKSmJgwcPVvglawABAQHs27ePgoICpW3YsGGEhYWxdu1anJ2d6dmzJxcuXNAY16VLF6ytrfH29tb4UjojIyOOHTuGj48P9vb2zJo1i+XLl9O9e3fgfj1eBwcH3NzcsLCwICEhAT09PY4dO0bDhg3p168fTk5OBAQEcOfOnad2YhigXbt2FBYWEhgYiLOzM506deKbb75h165ddOrUqdKxxsbGvPHGGxgYGNCnT5/HrhUTE6PxJWhvv/02/fr1Y+DAgbz00ktcu3ZN47QwVL7vKpWKffv20bFjR4YPH469vT2DBg3i8uXL1K1bF4A33niDbt268eqrr2JhYcFnn31Gq1atWLFiBe+99x4tWrQgOjqaJUuWPOHOPR3169dn3759JCYm0qpVKwIDAwkICGDWrFka/YYOHcoff/xBu3btGDduHBMnTmT06NFVXudZfZ6EEEIIIYQQQoh/IpVarVZXdxBCiOo1YMAAXF1dmTlzZpXHFBYWUr9+fSIiIujXr9/fGN3zw8vLC2dnZ1avXl1pv/379zNlyhTOnTuHtrb8IcaT8PT0pHXr1oSFhVV3KH/ZzZs3MTY2pqCgQBLRQgghhBBCCCH+dlX9d6icEBZC8P7772NgYFClvqWlpeTn57NgwQJMTEx4/fXX/+boqt9vv/3Gzp07iY+PZ9y4cY/tf+vWLSIiIiQZLIQQQgghhBBCiOeOZCuEENja2mrUB65MTk4OjRs3pkGDBkRGRv4rkp5t2rTht99+47333sPBweGx/fv37/8MohJCCCGEEEIIIYR4cnJCWAhRLn9//3Jr5dra2qJWq8nNzcXLy+vZB1YNsrOzKSgoIDg4+C/PZWtrWy3lEKpr3ScVHx+vEefDn0O1Ws3o0aMxMzNDpVKRkpLyzGMUQgghhBBCCCH+ySQhLEQ1WLJkCe7u7hgaGmJpaUmfPn3IzMyslliys7P/1Ym1kJAQWrdu/czWS0pKeqIvSBOaDhw4QGRkJHv27CEvL48WLVo8dsxf/YzHx8cTEhLyp8YKIYQQQgghhBDPmxf/b72FeA4dPXqUcePG4e7uzr179/jvf/9L165dSU9PR19fv7rDE38jCwuL6g7hHy0rKwtra2vat2//t6/14Ycfanxh4t27d1mzZg0TJkygZs2af/v6Qgjxd7Cdsbe6Q/jHyg7tUd0hCCGEEEI8FXJCWIhqcODAAfz9/XF2dqZVq1ZERkaSk5NDcnJyhWPKTjlu27aNV155BV1dXdzd3fn+++9JSkrCzc0NAwMDunfvztWrVzXGbty4EScnJ2rXro2joyNr165VrjVu3Bi4XydXpVLh6empMXbZsmVYW1tjbm7OuHHjKC4uVq799ttvDB06FFNTU/T09OjevTsXLlwA4OrVq1hZWbF48WKl/4kTJ9DR0SE2Npbs7Gxq1KjB6dOnNdYLCwujUaNGlJaWUlJSQkBAAI0bN0ZXVxcHBwdWrVr1yN5s2rQJZ2dnatWqhbW1NUFBQcq1GzduMHLkSCwsLDAyMqJz586kpqYCEBkZybx580hNTUWlUqFSqYiMjARgxYoVuLi4oK+vj42NDWPHjqWwsFCZNzIyEhMTE/bs2YODgwN6enr079+f27dvExUVha2tLaampkyYMIGSkhJl3MOlG1QqFRs3bqRv377o6elhZ2fH7t27Ne7v6NGjtGvXTrm/GTNmcO/ePeW6p6cnQUFBBAUFYWxsTJ06dZg9ezZqtVpjntu3bzNixAgMDQ1p2LAhH330kcb13NxcfH19MTExwczMjN69e5Odna1cLyvfUNln4mGpqam8+uqrGBoaYmRkRNu2bZVnXt7p7LCwMGxtbcudy9/fn/Hjx5OTk4NKpVL6HThwgP/85z+YmJhgbm5Oz549ycrKUsZV9hmv7L8NGxsbXn/9dXbu3Mm3335L586dgfvPTAghhBBCCCGE+KeShLAQz4GCggIAzMzMHtt37ty5zJo1izNnzqCtrc2bb77JtGnTWLVqFcePH+fixYvMmTNH6R8dHc2cOXNYtGgRGRkZLF68mNmzZxMVFQVAYmIiAEeOHCEvL48dO3YoY+Pi4sjKyiIuLo6oqCgiIyOVhCncT9CdPn2a3bt3c/LkSdRqNT4+PhQXF2NhYcGmTZsICQnh9OnT/P777wwZMoSgoCC8vLywtbWlS5cuREREaNxfREQE/v7+1KhRg9LSUho0aMD27dtJT09nzpw5/Pe//2Xbtm1K/3Xr1jFu3DhGjx5NWloau3fvplmzZsr1AQMGkJ+fz/79+0lOTsbV1RUvLy+uX7/OwIEDmTJlCs7OzuTl5ZGXl8fAgQMBqFGjBqtXr+bbb78lKiqK//3vf0ybNk0j1tu3b7N69WpiYmI4cOAA8fHx9O3bl3379rFv3z42b97M+vXr+fzzzyt9pvPmzcPX15dz587h4+ODn58f169fB+Cnn37Cx8cHd3d3UlNTWbduHR9//DELFy7UmCMqKgptbW0SExNZtWoVK1asYOPGjRp9li9fjpubG2fPnmXs2LGMGTNGKVVSXFyMt7c3hoaGHD9+nISEBAwMDOjWrRt3796t8mfiYX5+fjRo0ICkpCSSk5OZMWPGnz5du2rVKubPn0+DBg3Iy8sjKSkJgFu3bjF58mROnz5NbGwsNWrUoG/fvpSWlgIVf8Yf999Gjx49OHjwIIcOHWLfvn2sWbOGKVOmVPhFikVFRdy8eVPjJYQQQgghhBBCPG+kZIQQ1ay0tJRJkybRoUOHKtVDDQ4OxtvbG4CJEycyePBgYmNj6dChAwABAQEaCbq5c+eyfPly5U/fGzduTHp6OuvXr2fYsGFKCQNzc3OsrKw01jI1NSU8PBwtLS0cHR3p0aMHsbGxjBo1igsXLrB7924SEhKUP9+Pjo7GxsaGXbt2MWDAAHx8fBg1ahR+fn64ubmhr6/PkiVLlPlHjhxJYGAgK1asoFatWpw5c4a0tDS+/PJLAGrWrMm8efOU/o0bN+bkyZNs27YNX19fABYuXMiUKVOYOHGi0s/d3R2Ar7/+msTERPLz86lVqxZw/8Tzrl27+Pzzzxk9ejQGBgZoa2s/cu+TJk1Sfra1tWXhwoUEBgZqnCAtLi5m3bp1NG3aFID+/fuzefNmfvnlFwwMDGjevDmvvvoqcXFxSqK5PP7+/gwePBiAxYsXs3r1ahITE+nWrRtr167FxsaG8PBwVCoVjo6OXLlyhenTpzNnzhxq1Lj/ez0bGxtWrlyJSqXCwcGBtLQ0Vq5cyahRo5R1fHx8GDt2LADTp09n5cqVxMXF4eDgwNatWyktLWXjxo3KCdiIiAhMTEyIj4+na9euj/1MlCcnJ4epU6fi6OgIgJ2dXYX78DjGxsYYGhqipaWl8bzeeOMNjX6bNm3CwsKC9PR0WrRoUeFn/HH/bRw4cIB58+bRtWtXrly5woQJE+jfvz9BQUFoaWk9Et+SJUs0Pq9CCCGEEEIIIcTzSE4IC1HNxo0bx/nz54mJiVHaAgMDMTAwUF4PatmypfJz3bp1AXBxcdFoy8/PB+6fnMzKyiIgIEBjvoULF2r8SX1FnJ2dNRJf1tbWytwZGRloa2vz0ksvKdfNzc1xcHAgIyNDaVu2bBn37t1j+/btREdHK4lZgD59+qClpcXOnTuB+2UYXn31VY2SAR988AFt27bFwsICAwMDPvroI3JycgDIz8/nypUreHl5lRt/amoqhYWFmJuba9z/pUuXHnv/R44cwcvLi/r162NoaMiQIUO4du0at2/fVvro6ekpyWC4v/e2trYaz+zB51GRB5+pvr4+RkZGGvvs4eGhUaagQ4cOFBYW8uOPPyptL7/8skYfDw8PLly4oFGu4sF1VCoVVlZWyjqpqalcvHgRQ0NDZZ/MzMy4c+eOxl5V9pkoz+TJkxk5ciRdunQhNDS0Sp+7J3XhwgUGDx5MkyZNMDIyUj4/ZZ+T8lTlv41Lly7x5Zdf0rdvX5ydnYmNjaW4uFg5efywmTNnUlBQoLxyc3Of+r0KIYQQQgghhBB/lZwQFqIaBQUFsWfPHo4dO0aDBg2U9vnz5xMcHFzumAf/3L4sAfhwW1nCqqzm7YYNGzQSt0C5JxwrW+vhuasqKyuLK1euUFpaSnZ2tkbyWkdHh6FDhxIREUG/fv3YsmWLRo3gmJgYgoODWb58OR4eHhgaGvL+++9z6tQpAHR1dStdu7CwEGtra+Lj4x+5ZmJiUuG47OxsevbsyZgxY1i0aBFmZmZ8/fXXBAQEcPfuXfT09IDy9+fP7NnT2OeqqGydwsJC2rZtS3R09CPjHvwivCeNNSQkhDfffJO9e/eyf/9+5s6dS0xMDH379qVGjRqP1DmurB5xRXr16kWjRo3YsGED9erVo7S0lBYtWmiUunhYVf7bGDNmDADp6enA/c9rRf9dAtSqVUvjFx5CCCGEEEIIIcTzSBLCQlQDtVrN+PHj2blzJ/Hx8cqXXpWxtLTE0tLyL69Tt25d6tWrxw8//ICfn1+5fXR0dAA0TpJWhZOTE/fu3ePUqVNKyYhr166RmZlJ8+bNAbh79y5vvfUWAwcOxMHBgZEjR5KWlqZxbyNHjqRFixasXbuWe/fuKX++DyjlKMrKHAAaJ0wNDQ2xtbUlNjaWV1999ZEYXV1d+fnnn9HW1q7wi8p0dHQeuffk5GRKS0tZvny5UpLhwbrFz5KTkxNffPEFarVa+QVAQkIChoaGGr9EKEuSl/nmm2+ws7OrUuIf7u/V1q1bsbS0xMjI6OndAGBvb4+9vT3vvPMOgwcPJiIigr59+2JhYcHPP/+scW8pKSlPNHfZZ27Dhg288sorwP1SIQ8q7zNelf82ynh6ej7yZYtCCCGEEEIIIcQ/lSSEhagG48aNY8uWLXz55ZcYGhry888/A/drpD7u1OuTmjdvHhMmTMDY2Jhu3bpRVFTE6dOn+e2335g8eTKWlpbo6upy4MABGjRoQO3atTE2Nn7svHZ2dvTu3ZtRo0axfv16DA0NmTFjBvXr16d3794AvPvuuxQUFLB69WoMDAzYt28fI0aMYM+ePco8Tk5OvPzyy0yfPp0RI0Zo3L+dnR2ffPIJBw8epHHjxmzevJmkpCSNBHpISAiBgYFYWlrSvXt3fv/9dxISEhg/fjxdunTBw8ODPn36sHTpUuzt7bly5Qp79+6lb9++uLm5YWtry6VLl0hJSaFBgwYYGhrSrFkziouLWbNmDb169SIhIYEPP/zwKT6Vqhs7dixhYWGMHz+eoKAgMjMzmTt3LpMnT1aS1XC/PMLkyZN5++23OXPmDGvWrGH58uVVXsfPz4/333+f3r17K1/cdvnyZXbs2MG0adM0ks9V9ccffzB16lT69+9P48aN+fHHH0lKSlJq/np6enL16lWWLl1K//79OXDgAPv373+ihLSpqSnm5uZ89NFHWFtbk5OTw4wZMzT6VPQZf9x/G0II8SLKDu1R3SEIIYQQQohqJjWEhagG69ato6CgAE9PT6ytrZXX1q1bn/paI0eOZOPGjURERODi4kKnTp2IjIxUkqra2tqsXr2a9evXU69ePSWZWxURERG0bduWnj174uHhgVqtZt++fdSsWZP4+HjCwsLYvHkzRkZG1KhRg82bN3P8+HHWrVunMU9ZKYYRI0ZotL/99tv069ePgQMH8tJLL3Ht2jWN08IAw4YNIywsjLVr1+Ls7EzPnj25cOECcL+cwb59++jYsSPDhw/H3t6eQYMGcfnyZaX+8htvvEG3bt149dVXsbCw4LPPPqNVq1asWLGC9957jxYtWhAdHa3xZXjPUv369dm3bx+JiYm0atWKwMBAAgICmDVrlka/oUOH8scff9CuXTvGjRvHxIkTGT16dJXX0dPT49ixYzRs2JB+/frh5OREQEAAd+7c+dMnhrW0tLh27RpDhw7F3t4eX19funfvrnzxmpOTE2vXruWDDz6gVatWJCYmVlqSoTw1atQgJiaG5ORkWrRowTvvvMP777+v0aeiz/jj/tsQQgghhBBCCCFeRCr1wwUchRDiGVuwYAHbt2/n3Llz1R3KP5KnpyetW7cmLCysukMRD7h58ybGxsYUFBQ89TIcQgghhBBCCCHEw6r671A5ISyEqDaFhYWcP3+e8PBwxo8fX93hCCGEEEIIIYQQQrzwJCEsxHPG39+fPn36VHcYz0RQUBBt27bF09PzkXIRT5utrW21nKCtrnWr4kX7rFVlr1UqFbt27Xom8QghhBBCCCGEEM8j+VI58a+yZMkSduzYwXfffYeuri7t27fnvffew8HB4ZnHkp2dTePGjTl79iytW7d+5utXt5CQEFJSUigqKnom6yUlJaGvr/9M1nrW4uPjqzuE58Lf+Yw9PT1ln4UQQgghhBBCvBAkISz+VY4ePcq4ceNwd3fn3r17/Pe//6Vr166kp6e/sMlCcZ+FhUV1hyDKcffuXXR0dJ7KXE/7GX///fecOXOGQYMGKW1nzpzhypUr9OzZ86muJYQQz4rtjL3VHYIoR3Zoj+oOQQghhBD/IlIyQvyrHDhwAH9/f5ydnWnVqhWRkZHk5OSQnJxc4Zjs7GxUKhXbtm3jlVdeQVdXF3d3d77//nuSkpJwc3PDwMCA7t27c/XqVY2xGzduxMnJidq1a+Po6MjatWuVa40bNwagTZs2qFQqPD09NcYuW7YMa2trzM3NGTduHMXFxcq13377jaFDh2Jqaoqenh7du3fnwoULAFy9ehUrKysWL16s9D9x4gQ6OjrExsaSnZ1NjRo1OH36tMZ6YWFhNGrUiNLSUkpKSggICKBx48bo6uri4ODAqlWrHtmbTZs24ezsTK1atbC2tiYoKEi5duPGDUaOHImFhQVGRkZ07tyZ1NRUACIjI5k3bx6pqamoVCpUKhWRkZEArFixAhcXF/T19bGxsWHs2LEUFhYq80ZGRmJiYsKePXtwcHBAT0+P/v37c/v2baKiorC1tcXU1JQJEyZQUlKijHu4nIBKpWLjxo307dsXPT097Ozs2L17t8b9HT16lHbt2in3N2PGDO7du6dc9/T0JCgoiKCgIIyNjalTpw6zZ8/m4e/qvH37NiNGjMDQ0JCGDRvy0UcfaVzPzc3F19cXExMTzMzM6N27N9nZ2cr1stIOlX0myrNw4UIsLS0xNDRk5MiRzJgxo9LT6OWVXGjdujUhISHK+xs3bvD2229Tt25dateuTYsWLdizZw9w/9T3w/OHhYVha2v7yL0sWrSIevXqKafz09LS6Ny5M7q6upibmzN69GiN516VPXg4/gsXLtCxY0dq165N8+bNOXz48CP3XNne16lTh7i4OHx9fblx4wZz5sxh5syZNGnSpMI9FEIIIYQQQgghnneSEBb/agUFBQCYmZk9tu/cuXOZNWsWZ86cQVtbmzfffJNp06axatUqjh8/zsWLF5kzZ47SPzo6mjlz5rBo0SIyMjJYvHgxs2fPJioqCoDExEQAjhw5Ql5eHjt27FDGxsXFkZWVRVxcHFFRUURGRioJU7ifHDt9+jS7d+/m5MmTqNVqfHx8KC4uxsLCgk2bNhESEsLp06f5/fffGTJkCEFBQXh5eWFra0uXLl2IiIjQuL+IiAj8/f2pUaMGpaWlNGjQgO3bt5Oens6cOXP473//y7Zt25T+69atY9y4cYwePZq0tDR2795Ns2bNlOsDBgwgPz+f/fv3k5ycjKurK15eXly/fp2BAwcyZcoUnJ2dycvLIy8vj4EDBwJQo0YNVq9ezbfffktUVBT/+9//mDZtmkast2/fZvXq1cTExHDgwAHi4+Pp27cv+/btY9++fWzevJn169fz+eefV/pM582bh6+vL+fOncPHxwc/Pz+uX78OwE8//YSPjw/u7u6kpqaybt06Pv74YxYuXKgxR1RUFNra2iQmJrJq1SpWrFjBxo0bNfosX74cNzc3zp49y9ixYxkzZgyZmZkAFBcX4+3tjaGhIcePHychIQEDAwO6devG3bt3q/yZeFh0dDSLFi3ivffeIzk5mYYNG7Ju3bpK9+NxSktL6d69OwkJCXz66aekp6cTGhqKlpbWE80TGxtLZmYmhw8fZs+ePdy6dQtvb29MTU1JSkpi+/btHDlyROMXDPBke1BaWkq/fv3Q0dHh1KlTfPjhh0yfPl2jz+P23szMjPXr19OlSxdSU1PJysri4MGDNG/e/InuVwghhBBCCCGEeJ5IyQjxr1VaWsqkSZPo0KEDLVq0eGz/4OBgvL29AZg4cSKDBw8mNjaWDh06ABAQEKCRnJo7dy7Lly+nX79+wP0Twenp6axfv55hw4Ypf95ubm6OlZWVxlqmpqaEh4ejpaWFo6MjPXr0IDY2llGjRnHhwgV2795NQkIC7du3B+4n/2xsbNi1axcDBgzAx8eHUaNG4efnh5ubG/r6+ixZskSZf+TIkQQGBrJixQpq1arFmTNnSEtL48svvwSgZs2azJs3T+nfuHFjTp48ybZt2/D19QXunz6dMmUKEydOVPq5u7sD8PXXX5OYmEh+fj61atUC7p943rVrF59//jmjR4/GwMAAbW3tR+590qRJys+2trYsXLiQwMBAjdPVxcXFrFu3jqZNmwLQv39/Nm/ezC+//IKBgQHNmzfn1VdfJS4uTkk0l8ff35/BgwcDsHjxYlavXk1iYiLdunVj7dq12NjYEB4ejkqlwtHRkStXrjB9+nTmzJlDjRr3f59mY2PDypUrUalUODg4kJaWxsqVKxk1apSyjo+PD2PHjgVg+vTprFy5kri4OBwcHNi6dSulpaVs3LgRlUoF3E/Om5iYEB8fT9euXR/7mSjPmjVrCAgIYPjw4QDMmTOHQ4cOaZy6fVJHjhwhMTGRjIwM7O3tAf7UaVl9fX02btyolIrYsGEDd+7c4ZNPPlFKt4SHh9OrVy/ee+896tatCzzZHhw5coTvvvuOgwcPUq9ePeD+M+7evbvS53F77+7uzrvvvsuvv/5Kq1ataNq0Kd27dycsLKzcuuNFRUUaNbFv3rz5xHsjhBBCCCGEEEL83eSEsPjXGjduHOfPnycmJkZpCwwMxMDAQHk9qGXLlsrPZQkqFxcXjbb8/HwAbt26RVZWFgEBARrzLVy4kKysrMfG5uzsrHHq0traWpk7IyMDbW1tXnrpJeW6ubk5Dg4OZGRkKG3Lli3j3r17bN++nejoaCUxC9CnTx+0tLTYuXMncL8Mw6uvvqrxp/0ffPABbdu2xcLCAgMDAz766CNycnIAyM/P58qVK3h5eZUbf2pqKoWFhZibm2vc/6VLlx57/0eOHMHLy4v69etjaGjIkCFDuHbtGrdv31b66OnpKclguL/3tra2Gs/swedRkQefqb6+PkZGRhr77OHhoSQKATp06EBhYSE//vij0vbyyy9r9PHw8ODChQsa5SoeXEelUmFlZaWsk5qaysWLFzE0NFT2yczMjDt37mjsVWWfifJkZmbSrl07jbaH3z+plJQUGjRooCSD/ywXFxeNusEZGf+PvTsPq6pc/z/+3qLMgxMKKooDKCCDCuaQSg7hWGpmDqk4lRmZKThkKmAqmuSYwykDNU2btFLTlBNWOJGJQ5IahVhRehwgNBGB3x/+XF+3I45Yfl7Xta5rr7We4V7P3scONw/3TsXf39+sjnfTpk0pKCgwdlLDra1Bamoqbm5uRjIYLr43l7vZ2h87doxmzZrxwQcfULp0aaKjo5k8eTKHDh265pxTp07FycnJONzc3G5tYURERERERETuA+0QlodSWFgYa9eu5euvv6ZKlSrG9ejoaMLDw6/Zp1SpUsbrSwnAK68VFBQAGLsw3377bbPELVCkP6+/fNwrxy6qtLQ0fv/9dwoKCkhPTzdLXltaWtK3b1/i4uLo2rUrK1asMKsRvHLlSsLDw4mNjaVx48Y4ODjwxhtvsGPHDgBsbGxuOHdOTg6urq4kJiZeda906dLX7Zeenk7Hjh154YUXmDx5MmXLluXbb79l4MCBnD9/HltbW+Da63M7a3Y31rkobjRPTk4ODRo0YPny5Vf1u/xL0u5HrCVKlLiq/vHlNXpv9r7frP8lt/sFjnd7DW629k5OTlftBK5fvz7169e/5nhjx45lxIgRxnl2draSwiIiIiIiIvLAUUJYHiqFhYW89NJLrF69msTEROOL3S6pUKECFSpUuON5KlasSKVKlfj555/p3bv3Ndtc2iF5+U7SovDy8uLChQvs2LHDKBlx4sQJDh48aNQ2PX/+PM8++yzPPPMMtWvXZtCgQezbt8/s2QYNGkTdunWZP38+Fy5cMEpbAEY5iktlDgCz3aoODg64u7uTkJDAY489dlWM9evX548//qBkyZJmu46vfP4rn33Xrl0UFBQQGxtrlGS4vG7x/eTl5cXHH39MYWGh8QuApKQkHBwczH6JcClJfsn27dvx8PAocl3d+vXrs2rVKipUqICjo+Ndi7927dokJyfTt29f41pycvIN+zg7O5OZmWmcZ2dn88svvxjnfn5+/Prrrxw6dOiau4SdnZ35448/zNYsJSXlprF6eXkRHx/PmTNnjGRxUlISJUqUuGZphqLw8vLi6NGjZGZm4urqClx8by53K2t/rV9uXMnKyspsJ76IiIiIiIjIg0gJYXmovPjii6xYsYJPP/0UBwcH/vjjDwCcnJxuuvvxVkVFRTFs2DCcnJxo27Ytubm5fPfdd5w6dYoRI0ZQoUIFbGxs2LBhA1WqVMHa2honJ6ebjuvh4cGTTz7J4MGDWbRoEQ4ODowZM4bKlSvz5JNPAjBu3DiysrKYM2cO9vb2rF+/ngEDBrB27VpjHC8vLxo1asTo0aMZMGCA2fN7eHiwdOlSNm7cSPXq1Vm2bBnJyclmCfTIyEiGDBlChQoVaNeuHX/99RdJSUm89NJLtG7dmsaNG9O5c2emT5+Op6cnv//+O+vWraNLly4EBgbi7u7OL7/8YpQhcHBwoFatWuTl5TF37lw6depEUlISCxcuvIvvStENHTqUWbNm8dJLLxEWFsbBgweZOHEiI0aMMJLVABkZGYwYMYLnn3+e77//nrlz5xIbG1vkeXr37s0bb7zBk08+SXR0NFWqVOHIkSN88sknjBo1yiz5fCteeuklBg8eTGBgIE2aNGHVqlXs3bv3hjV/W7ZsSXx8PJ06daJ06dJMmDDBLLHdokULmjdvzlNPPcWbb75JrVq1+PHHHzGZTLRt25bg4GCOHz/O9OnT6datGxs2bOCLL764abK1d+/eTJw4kX79+hEZGcnx48d56aWX6NOnj1Ge5Va1bt0aT09P+vXrxxtvvEF2djbjxo27at57sfYiIg+y9JgOxR2CiIiIiBQz1RCWh8qCBQvIysoiODgYV1dX41i1atVdn2vQoEG88847xMXF4evrS4sWLYiPjzeSqiVLlmTOnDksWrSISpUqGcncooiLi6NBgwZ07NiRxo0bU1hYyPr16ylVqhSJiYnMmjWLZcuW4ejoSIkSJVi2bBnffPMNCxYsMBvnUimGAQMGmF1//vnn6dq1K8888wyPPPIIJ06cMNstDNCvXz9mzZrF/Pnz8fHxoWPHjhw+fBi4+Kf869evp3nz5vTv3x9PT0969OjBkSNHjATfU089Rdu2bXnsscdwdnbm/fffx9/fnzfffJNp06ZRt25dli9fbvZlePdT5cqVWb9+PTt37sTf358hQ4YwcOBAXnvtNbN2ffv25e+//6Zhw4a8+OKLvPzyyzz33HNFnsfW1pavv/6aqlWr0rVrV7y8vBg4cCDnzp27ox3DvXv3ZuzYsYSHh1O/fn1++eUXQkNDsba2vm6fsWPH0qJFCzp27EiHDh3o3LmzWa1mgI8//pigoCB69uyJt7c3o0aNMnZ6e3l5MX/+fN566y38/f3ZuXPndUuwXLkGGzdu5OTJkwQFBdGtWzdatWrFvHnzbvv5S5QowerVq433ZtCgQUyePPmqee/F2ouIiIiIiIg8yEyFVxZ8FJGHxqRJk/jwww/Zu3dvcYfyjxQcHExAQACzZs0q7lCKpE2bNri4uLBs2bLiDuWhkJ2djZOTE1lZWUowi4iIiIiIyD1X1J9DVTJC5CGUk5NDeno68+bN4/XXXy/ucOQeOHv2LAsXLiQkJAQLCwvef/99Nm/ezKZNm4o7NBEREREREREpRioZIfIQCgsLo0GDBgQHB19VLkL+HS4v29GgQQM+//xzPv74Y1q3bl3coYmIiIiIiIhIMVLJCBGRuyg9PZ3q1auze/duAgICHvhx7zSOxMREHnvsMU6dOkXp0qWLLa4bKSws5Pnnn+ejjz7i1KlT920NVTJCRERERERE7qei/hyqHcIiItcxdepUgoKCcHBwoEKFCnTu3JmDBw8Wd1jFys3NjczMTOrWrVvcoRTZhg0biI+PZ+3atf+42EVERERERETuNtUQFhG5ji1btvDiiy8SFBTEhQsXePXVV3n88cc5cOAAdnZ2xR2emcLCQvLz8ylZ8t7+s25hYYGLi8s9naOozp8/j6Wl5U3bpaWl4erqSpMmTe5DVCIiDzb3MeuKO4QHUnpMh+IOQUREROS+0Q5hEZHr2LBhA6Ghofj4+ODv7098fDwZGRns2rXrpn1//vlnHnvsMWxtbfH392fbtm0AnDlzBkdHRz766COz9mvWrMHOzo6//voLgJ07d1KvXj2sra0JDAxk9+7dZu0TExMxmUx88cUXNGjQACsrK7799ltyc3MZNmwYFSpUwNramkcffZTk5GQAzp07h4+PD88995wxTlpaGg4ODrz77rtFii09PR2TyURKSopZm6SkJPz8/LC2tqZRo0bs37/fuBcZGXlViYZZs2bh7u5unIeGhtK5c2eioqJwdnbG0dGRIUOGcP78eaNNcHAwYWFhDB8+nPLlyxMSEgJcTNw3bNgQKysrXF1dGTNmDBcuXDDGfemll8jIyMBkMhlzFhQUMHXqVKpXr46NjQ3+/v5mz31pfRMSEggMDMTW1pYmTZo89DvERURERERE5J9PCWERkSLKysoCoGzZsjdtO27cOMLDw0lJScHT05OePXty4cIF7Ozs6NGjB3FxcWbt4+Li6NatGw4ODuTk5NCxY0e8vb3ZtWsXkZGRhIeHX3OeMWPGEBMTQ2pqKn5+fowaNYqPP/6YJUuW8P3331OrVi1CQkI4efIk1tbWLF++nCVLlvDpp5+Sn5/Ps88+S5s2bRgwYECRYrueiIgIYmNjSU5OxtnZmU6dOpGXl3fTdbpcQkICqampJCYm8v777/PJJ58QFRVl1mbJkiVYWlqSlJTEwoUL+e2332jfvj1BQUHs2bOHBQsWsHjxYl5//XUAZs+eTXR0NFWqVCEzM9NIjk+dOpWlS5eycOFCfvjhB1555RWeffZZtmzZYjbfuHHjiI2N5bvvvqNkyZL6EkYRERERERH5x1PJCBGRIigoKGD48OE0bdq0SDVow8PD6dDh4p+fRkVF4ePjw08//USdOnUYNGgQTZo0ITMzE1dXV44dO8b69evZvHkzACtWrKCgoIDFixdjbW2Nj48Pv/76Ky+88MJV80RHR9OmTRvg4u7jBQsWEB8fT7t27QB4++232bRpE4sXLyYiIoKAgABef/11Bg0aRI8ePThy5Ahr1641xrtZbNczceJEI44lS5ZQpUoVVq9eTffu3YuwuhdZWlry7rvvYmtri4+PD9HR0URERDBp0iRKlLj4+0sPDw+mT59u9Bk3bhxubm7MmzcPk8lEnTp1+P333xk9ejQTJkzAyckJBwcHs1IXubm5TJkyhc2bN9O4cWMAatSowbfffsuiRYto0aKFMf7kyZON8zFjxtChQwfOnTuHtbX1VfHn5uaSm5trnGdnZxf52UVERERERETuF+0QFhEpghdffJH9+/ezcuVK49qQIUOwt7c3jsv5+fkZr11dXQE4duwYAA0bNsTHx4clS5YA8N5771GtWjWaN28OYOz2vTzpeClxeaXAwEDjdVpaGnl5eTRt2tS4VqpUKRo2bEhqaqpxbeTIkXh6ejJv3jzeffddypUrZ9y7WWzXc3l8ZcuWpXbt2mZzFoW/vz+2trZmY+bk5HD06FHjWoMGDcz6pKam0rhxY0wmk3GtadOm5OTk8Ouvv15znp9++omzZ8/Spk0bs/dv6dKlpKWlmbW90ft4palTp+Lk5GQcbm5uRXxyERERERERkftHCWERkZsICwtj7dq1fPXVV1SpUsW4Hh0dTUpKinFcrlSpUsbrS8nKgoIC49qgQYOIj48HLpZk6N+/v1lSs6hu58vtjh07xqFDh7CwsODw4cNX3b9bsV1SokQJCgsLza7dajmJS+7Gl/nl5OQAsG7dOrP378CBA1fVT77Z+3i5sWPHkpWVZRyXJ7JFREREREREHhRKCIuIXEdhYSFhYWGsXr2a//73v1SvXt3sfoUKFahVq5Zx3Ipnn32WI0eOMGfOHA4cOEC/fv2Me15eXuzdu5dz584Z17Zv337TMWvWrGnU170kLy+P5ORkvL29jWsDBgzA19eXJUuWMHr06Kt28t4otuu5PL5Tp05x6NAhvLy8AHB2duaPP/4wSwpfmUAH2LNnD3///bfZmPb29jfcaevl5cW2bdvMxk5KSsLBwcEseX85b29vrKysyMjIMHv/atWqdUe7eq2srHB0dDQ7RERERERERB40qiEsInIdL774IitWrODTTz/FwcGBP/74AwAnJydsbGzuaOwyZcrQtWtXIiIiePzxx82Sl7169WLcuHEMHjyYsWPHkp6ezowZM246pp2dHS+88AIRERGULVuWqlWrMn36dM6ePcvAgQMBeOutt9i2bRt79+7Fzc2NdevW0bt3b7Zv346lpeVNY7ue6OhoypUrR8WKFRk3bhzly5enc+fOAAQHB3P8+HGmT59Ot27d2LBhA1988cVVCdPz588zcOBAXnvtNdLT05k4cSJhYWFG/eBrGTp0KLNmzeKll14iLCyMgwcPMnHiREaMGHHdfg4ODoSHh/PKK69QUFDAo48+SlZWFklJSTg6OhYpAS4i8k+VHtOhuEMQERERkWKmHcIiItexYMECsrKyCA4OxtXV1ThWrVp1V8YfOHAg58+fZ8CAAWbX7e3t+fzzz9m3bx/16tVj3LhxTJs2rUhjxsTE8NRTT9GnTx/q16/PTz/9xMaNGylTpgw//vgjERERzJ8/39gJO3/+fP73v/8xfvz4IsV2o3lffvllGjRowB9//MHnn39uJJi9vLyYP38+b731Fv7+/uzcuZPw8PCrxmjVqhUeHh40b96cZ555hieeeILIyMgbzlu5cmXWr1/Pzp078ff3Z8iQIUZS+UYmTZrE+PHjmTp1Kl5eXrRt25Z169ZdtQtcRERERERE5N/GVHhlYUcREbkvli1bxiuvvMLvv/9uJE8fFPc7ttDQUE6fPs2aNWvu+Vz3S3Z2Nk5OTmRlZal8hIiIiIiIiNxzRf05VCUjRETus7Nnz5KZmUlMTAzPP//8A5UMfpBjExEREREREZE7p5IRIiL32fTp06lTpw4uLi6MHTu2uMMx8yDHJiIiIiIiIiJ3TglhkX+w9PR0TCYTKSkp/4hx5eIXrJ0+fZq8vDwSEhKwt7e/b/MOHz78pu0iIyPve2wA8fHx1ywXERkZSUBAwFXXKlasiMlk+leVmBARERERERG5H5QQFnlATJ06laCgIBwcHKhQoQKdO3fm4MGDxR3Wv158fDylS5e+b/N98sknTJo06b7N92+TmppKVFQUixYtIjMzk3bt2hWp350kj9PT0wkNDb2tviIiIiIiIiIPGtUQFnlAbNmyhRdffJGgoCAuXLjAq6++yuOPP86BAwews7Mr7vDMFBYWkp+fT8mS+ifkVpUtW7a4Q/hHS0tLA+DJJ5/EZDLd07mWL19Oo0aNsLCwAC5+7ufPn0+vXr0oU6bMPZ1bRORecR+zrrhD+MdLj+lQ3CGIiIiI3BHtEBZ5QGzYsIHQ0FB8fHzw9/cnPj6ejIwMdu3addO+P//8M4899hi2trb4+/uzbds2AM6cOYOjoyMfffSRWfs1a9ZgZ2fHX3/9BcDOnTupV68e1tbWBAYGsnv3brP2iYmJmEwmvvjiCxo0aICVlRXffvstubm5DBs2jAoVKmBtbc2jjz5KcnIyAOfOncPHx4fnnnvOGCctLQ0HBwfefffdIsc2evRoPD09sbW1pUaNGowfP568vDyzPp9//jlBQUFYW1tTvnx5unTpYtzLzc0lPDycypUrY2dnxyOPPEJiYqLxXP379ycrKwuTyYTJZCIyMhKAZcuWERgYiIODAy4uLvTq1Ytjx45dtSYbN26kXr162NjY0LJlS44dO8YXX3yBl5cXjo6O9OrVi7Nnzxr9rizd4O7uzpQpUxgwYAAODg5UrVqV//znP2bPt2/fPlq2bImNjQ3lypXjueeeIycnx7gfGhpK586diYqKwtnZGUdHR4YMGcL58+fNxikoKGDUqFGULVsWFxcX41kvOX36NIMGDTLGaNmyJXv27DHuXyrfsGzZMtzd3XFycqJHjx7Ge3UtR44coVOnTpQpUwY7Ozt8fHxYv349cO3d2WvWrLluojcyMpJOnToBUKJECaNdcnIybdq0oXz58jg5OdGiRQu+//57szUG6NKlCyaTyTgH+PTTT6lfvz7W1tbUqFGDqKgoLly4AED16tXp168fCxcu5Ndff6Vt27b89ttvWFlZXfd5RURERERERB50SgiLPKCysrKAou0oHTduHOHh4aSkpODp6UnPnj25cOECdnZ29OjRg7i4OLP2cXFxdOvWDQcHB3JycujYsSPe3t7s2rWLyMhIwsPDrznPmDFjiImJITU1FT8/P0aNGsXHH3/MkiVL+P7776lVqxYhISGcPHkSa2trli9fzpIlS/j000/Jz8/n2WefpU2bNgwYMKBIsQE4ODgQHx/PgQMHmD17Nm+//TYzZ8402q9bt44uXbrQvn17du/eTUJCAg0bNjTuh4WFsW3bNlauXMnevXt5+umnadu2LYcPH6ZJkybMmjULR0dHMjMzyczMNJ49Ly+PSZMmsWfPHtasWXPdsgGRkZHMmzePrVu3cvToUbp3786sWbNYsWIF69at48svv2Tu3Lk3fP9iY2ONRPzQoUN54YUXjHIhZ86cISQkhDJlypCcnMyHH37I5s2bCQsLMxsjISGB1NRUEhMTef/99/nkk0+Iiooya7NkyRLs7OzYsWMH06dPJzo6mk2bNhn3n376aSOhvWvXLurXr0+rVq04efKk0SYtLY01a9awdu1a1q5dy5YtW4iJibnus7344ovk5uby9ddfs2/fPqZNm3bbtYnDw8ONz8ul9wvgr7/+ol+/fnz77bds374dDw8P2rdvbySqL/2SIi4ujszMTOP8m2++oW/fvrz88sscOHCARYsWER8fz+TJkwFo0qQJX331Fdu2bSMxMZHhw4czZcoUbG1tbyt+ERERERERkQeB/t5b5AFUUFDA8OHDadq0KXXr1r1p+/DwcDp0uPjni1FRUfj4+PDTTz9Rp04dBg0aRJMmTcjMzMTV1ZVjx46xfv16Nm/eDMCKFSsoKChg8eLFWFtb4+Pjw6+//soLL7xw1TzR0dG0adMGuJioXLBgAfHx8UYd17fffptNmzaxePFiIiIiCAgI4PXXX2fQoEH06NGDI0eOsHbtWmO8m8UG8Nprrxmv3d3dCQ8PZ+XKlYwaNQqAyZMn06NHD7Pkp7+/PwAZGRnExcWRkZFBpUqVjLXasGEDcXFxTJkyBScnJ0wmEy4uLmbPOmDAAON1jRo1mDNnDkFBQeTk5JglNF9//XWaNm0KwMCBAxk7dixpaWnUqFEDgG7duvHVV18xevTo675/7du3Z+jQocDFHdEzZ87kq6++onbt2qxYsYJz586xdOlSo3TIvHnz6NSpE9OmTaNixYoAWFpa8u6772Jra4uPjw/R0dFEREQwadIkSpS4+Ls/Pz8/Jk6cCICHhwfz5s0jISGBNm3a8O2337Jz506OHTtm7ICdMWMGa9as4aOPPjJ2ehcUFBAfH28k7Pv06UNCQoKRRL1SRkYGTz31FL6+vsZa3i57e3tjR/Hl71fLli3N2v3nP/+hdOnSbNmyhY4dO+Ls7AxA6dKlzfpFRUUxZswY+vXrZ8Q2adIkRo0axcSJE9mxYwcRERE0adKEUqVKMWvWLLZt28arr76KtbX1VfHl5uaSm5trnGdnZ9/2s4qIiIiIiIjcK9ohLPIAevHFF9m/fz8rV640rg0ZMgR7e3vjuJyfn5/x2tXVFcAob9CwYUN8fHxYsmQJAO+99x7VqlWjefPmAMZu38sTXI0bN75mXIGBgcbrtLQ08vLyjGQoQKlSpWjYsCGpqanGtZEjR+Lp6cm8efN49913KVeunHHvZrEBrFq1iqZNm+Li4oK9vT2vvfYaGRkZxv2UlBRatWp1zXj37dtHfn4+np6eZmu3ZcsWoxbt9ezatYtOnTpRtWpVHBwcaNGiBYDZ3GC+9hUrVjRKW1x+7fJSE9dy+RiXktOX+qSmpuLv729WR7pp06YUFBSYfemgv7+/2c7Vxo0bk5OTw9GjR685D2Ak4QH27NlDTk4O5cqVM1urX375xWyt3N3djWTwlWNcy7Bhw4yk+cSJE9m7d+8N1+J2/PnnnwwePBgPDw+cnJxwdHQkJyfnqvfqSnv27CE6OtrseQcPHkxmZiZnz57l8OHDxMXFMWTIEKpUqcKGDRuoWLGiWQmQy02dOhUnJyfjcHNzu+vPKiIiIiIiInKntENY5AETFhbG2rVr+frrr6lSpYpxPTo6+rqlHEqVKmW8vlRXtaCgwLg2aNAg3nrrLcaMGUNcXBz9+/e/rS/kup0vtzt27BiHDh3CwsKCw4cP07ZtW7P7N4pt27Zt9O7dm6ioKEJCQnBycmLlypXExsYa/W1sbK47d05ODhYWFuzatcv4YrBLblS24FKZhpCQEJYvX46zszMZGRmEhIRcVZf3yrW//PzStcvfi2u5nT6340bz5OTk4OrqatRXvtzldX5vNdZBgwYREhJilM+YOnUqsbGxvPTSS5QoUYLCwkKz9lfWhy6Kfv36ceLECWbPnk21atWwsrKicePGV71XV8rJySEqKoquXbtedc/a2ppnn30WgPT0dODis7744ovXHW/s2LGMGDHCOM/OzlZSWERERERERB442iEs8oAoLCwkLCyM1atX89///pfq1aub3a9QoQK1atUyjlvx7LPPcuTIEebMmcOBAweMP5EH8PLyYu/evZw7d864tn379puOWbNmTSwtLUlKSjKu5eXlkZycjLe3t3FtwIAB+Pr6smTJEkaPHm22e/hmsW3dupVq1aoxbtw4AgMD8fDw4MiRI2b9/fz8SEhIuGaM9erVIz8/n2PHjpmtXa1atYzSAZaWluTn55v1+/HHHzlx4gQxMTE0a9aMOnXq3HSX773i5eXFnj17OHPmjHEtKSmJEiVKULt2bePanj17+Pvvv43z7du3Y29vX+SEZP369fnjjz8oWbLkVWtVvnz5O3oGNzc3hgwZwieffMLIkSN5++23AXB2duavv/4ye7aUlJRbHj8pKYlhw4bRvn17fHx8sLKy4n//+59Zm1KlSl31PtevX5+DBw9e9by1atUyymzAxV3R8fHxN43DysoKR0dHs0NERERERETkQaMdwiIPiBdffJEVK1bw6aef4uDgwB9//AGAk5PTDXfBFkWZMmXo2rUrERERPP7442Y7j3v16sW4ceMYPHgwY8eOJT09nRkzZtx0TDs7O1544QUiIiIoW7YsVatWZfr06Zw9e5aBAwcC8NZbb7Ft2zb27t2Lm5sb69ato3fv3mzfvh1LS8ubxubh4UFGRgYrV64kKCiIdevWsXr1arM4Jk6cSKtWrahZsyY9evTgwoULrF+/ntGjR+Pp6Unv3r3p27cvsbGx1KtXj+PHj5OQkICfnx8dOnTA3d2dnJwcEhISjLILVatWxdLSkrlz5zJkyBD279/PpEmT7ug9uF29e/dm4sSJ9OvXj8jISI4fP85LL71Enz59jPrBAOfPn2fgwIG89tprpKenM3HiRMLCwswSmzfSunVrGjduTOfOnZk+fTqenp78/vvvxpf2XV4u5FYMHz6cdu3a4enpyalTp/jqq6/w8vIC4JFHHsHW1pZXX32VYcOGsWPHjiIlXq/k4eHBsmXLCAwMJDs7m4iIiKv+N+Pu7k5CQgJNmzbFysqKMmXKMGHCBDp27EjVqlXp1q0bJUqUYM+ePezfv5/XX3/9tp5XRORBlx7TobhDEBEREZFiph3CIg+IBQsWkJWVRXBwMK6ursaxatWquzL+wIEDOX/+vNmXpcHF0gmff/45+/bto169eowbN45p06YVacyYmBieeuop+vTpQ/369fnpp5/YuHEjZcqU4ccffyQiIoL58+cbu1Tnz5/P//73P8aPH1+k2J544gleeeUVwsLCCAgIYOvWrVf1DQ4O5sMPP+Szzz4jICCAli1bsnPnTuN+XFwcffv2ZeTIkdSuXZvOnTuTnJxM1apVAWjSpAlDhgzhmWeewdnZmenTp+Ps7Ex8fDwffvgh3t7exMTEFClJfi/Y2tqyceNGTp48SVBQEN26daNVq1bMmzfPrF2rVq3w8PCgefPmPPPMMzzxxBNERkYWeR6TycT69etp3rw5/fv3x9PT0/giwMsTz7cqPz+fF198ES8vL9q2bYunpyfz588HoGzZsrz33nusX78eX19f3n///VuK+ZLFixdz6tQp6tevT58+fRg2bBgVKlQwaxMbG8umTZtwc3OjXr16AISEhLB27Vq+/PJLgoKCaNSoETNnzqRatWq3/bwiIiIiIiIiDzpT4ZUFHEXkX2nZsmW88sor/P7778bu3AfFgxzbP0FoaCinT59mzZo1xR2KXCY7OxsnJyeysrJUPkJERERERETuuaL+HKqSESL/cmfPniUzM5OYmBief/75Byrh+iDHJiIiIiIiIiLyb6SSESL/ctOnT6dOnTq4uLgwduzY4g7HzIMcm4iIiIiIiIjIv5ESwiL3kclkuid/1n+jcSMjI8nLyyMhIQF7e/u7PvedKO7YIiMjCQgIuOV+iYmJmEwmTp8+fUfzu7u7M2vWrDsaAyA+Pr7Yy0XcrTW5U8HBwQwfPrxYYxARERERERF5kCkhLHKbvv76azp16kSlSpXuWaL3ny4xMZEnn3wSV1dX7OzsCAgIYPny5cUd1i1RgvHf7UFJZIuIiIiIiIjcL0oIi9ymM2fO4O/vz1tvvVXcodxUXl5escy7detW/Pz8+Pjjj9m7dy/9+/enb9++rF27tljikXujuD5fIiIiIiIiInLrlBAWuU3t2rXj9ddfp0uXLrfU73//+x9dunTB1tYWDw8PPvvsMwAKCwupVasWM2bMMGufkpKCyWTip59+AuDw4cM0b94ca2trvL292bRpk1n79PR0TCYTq1atokWLFlhbW7N8+XIKCgqIjo6mSpUqWFlZERAQwIYNG4y5W7duTUhICIWFhQCcPHmSKlWqMGHChCLHdqVXX32VSZMm0aRJE2rWrMnLL79M27Zt+eSTT264RsHBwQwbNoxRo0ZRtmxZXFxciIyMNGvz5ptv4uvri52dHW5ubgwdOpScnBzjfnx8PKVLl2bNmjV4eHhgbW1NSEgIR48evWq+ZcuW4e7ujpOTEz169OCvv/4CIDQ0lC1btjB79mxMJhMmk4n09HSj365duwgMDMTW1pYmTZpw8OBB415aWhpPPvkkFStWxN7enqCgIDZv3nzD5z59+jSDBg3C2dkZR0dHWrZsyZ49e4z7l0pcXC9egIKCAqZOnUr16tWxsbHB39+fjz76yGyeH374gY4dO+Lo6IiDgwPNmjUjLS0NgOTkZNq0aUP58uVxcnKiRYsWfP/992b9TSYTCxYs4IknnsDOzo7Jkycb95KSkvDz88Pa2ppGjRqxf/9+s74ff/wxPj4+WFlZ4e7uTmxsrHEvOjqaSpUqceLECeNahw4deOyxxygoKGDAgAF07NjRbLy8vDwqVKjA4sWLr7mmy5YtIzAwEAcHB1xcXOjVqxfHjh0DLv5v5bHHHgOgTJkymEwmQkNDi7yOIiIiIiIiIv9ESgiL3GdRUVF0796dvXv30r59e3r37s3JkycxmUwMGDCAuLg4s/ZxcXE0b96cWrVqUVBQQNeuXbG0tGTHjh0sXLiQ0aNHX3OeMWPG8PLLL5OamkpISAizZ88mNjaWGTNmsHfvXkJCQnjiiSc4fPgwJpOJJUuWkJyczJw5cwAYMmQIlStXZsKECUWKraiysrIoW7bsTdstWbIEOzs7duzYwfTp04mOjjZLfpcoUYI5c+bwww8/sGTJEv773/8yatQoszHOnj3L5MmTWbp0KUlJSZw+fZoePXqYtUlLS2PNmjWsXbuWtWvXsmXLFmJiYgCYPXs2jRs3ZvDgwWRmZpKZmYmbm5vRd9y4ccTGxvLdd99RsmRJBgwYYNzLycmhffv2JCQksHv3btq2bUunTp3IyMi47jM//fTTHDt2jC+++IJdu3ZRv359WrVqxcmTJ4sUL8DUqVNZunQpCxcu5IcffuCVV17h2WefZcuWLQD89ttvNG/eHCsrK/773/+ya9cuBgwYwIULFwD466+/6NevH99++y3bt2/Hw8OD9u3bmyWd4WJyukuXLuzbt8/suSMiIoiNjSU5ORlnZ2c6depk7CDetWsX3bt3p0ePHuzbt4/IyEjGjx9PfHy8sZ7u7u4MGjQIgLfeeoutW7eyZMkSSpQowaBBg9iwYQOZmZnGfGvXruXs2bM888wz11zTvLw8Jk2axJ49e1izZg3p6elG0tfNzY2PP/4YgIMHD5KZmcns2bOLtI4iIiIiIiIi/1iFInLHgMLVq1cXqd1rr71mnOfk5BQChV988UVhYWFh4W+//VZoYWFRuGPHjsLCwsLC8+fPF5YvX74wPj6+sLCwsHDjxo2FJUuWLPztt9+MMb744guz+X/55ZdCoHDWrFlmc1eqVKlw8uTJZteCgoIKhw4dapx/8MEHhdbW1oVjxowptLOzKzx06JBx72axFcWqVasKLS0tC/fv33/Ddi1atCh89NFHr4p19OjR1+3z4YcfFpYrV844j4uLKwQKt2/fblxLTU0tBIxnmDhxYqGtrW1hdna20SYiIqLwkUceMYvl5ZdfNpvrq6++KgQKN2/ebFxbt25dIVD4999/XzdGHx+fwrlz5xrn1apVK5w5c2ZhYWFh4TfffFPo6OhYeO7cObM+NWvWLFy0aFGR4j137lyhra1t4datW83GGDhwYGHPnj0LCwsLC8eOHVtYvXr1wvPnz183zsvl5+cXOjg4FH7++efGNaBw+PDhZu0urcnKlSuNaydOnCi0sbEpXLVqVWFhYWFhr169Ctu0aWPWLyIiotDb29s4T0tLK3RwcCgcPXp0oY2NTeHy5cvN2nt7exdOmzbNOO/UqVNhaGiocX6t9+tyycnJhUDhX3/9ZRb3qVOnjDZFWcdrOXfuXGFWVpZxHD16tBAozMrKum4fERERERERkbslKyurSD+HaoewyD0wZcoU7O3tjePyXaF+fn7Gazs7OxwdHY0/Ya9UqRIdOnTg3XffBeDzzz8nNzeXp59+GoDU1FTc3NyoVKmSMUbjxo2vGUNgYKDxOjs7m99//52mTZuatWnatCmpqanG+dNPP02XLl2IiYlhxowZeHh4GPduFpuPj4/xvO3atbsqnq+++or+/fvz9ttv4+PjA8A333xjtk6Xf+Hc5esE4OrqaqwTwObNm2nVqhWVK1fGwcGBPn36cOLECc6ePWu0KVmyJEFBQcZ5nTp1KF26tNkzu7u74+DgcN15buTyGF1dXQGMvjk5OYSHh+Pl5UXp0qWxt7cnNTX1ujuE9+zZQ05ODuXKlTNbk19++cUo53CzeH/66SfOnj1LmzZtzMZYunSpMUZKSgrNmjWjVKlS14zjzz//ZPDgwXh4eODk5ISjoyM5OTlXxX355+tyl38ey5YtS+3atY31Tk1NveZn8PDhw+Tn5wNQo0YNZsyYwbRp03jiiSfo1auXWftBgwYZO9X//PNPvvjiC7MdylfatWsXnTp1omrVqjg4ONCiRQuAG+7ULso6XsvUqVNxcnIyjst3k4uIiIiIiIg8KEoWdwAi/0ZDhgyhe/fuxvnlCdwrE3Emk4mCggLjfNCgQfTp04eZM2cSFxfHM888g62t7S3HYGdnd8t9zp49y65du7CwsODw4cNX3b9RbOvXrzdKA9jY2Jj127JlC506dWLmzJn07dvXuB4YGEhKSopxXrFiReP1jdYpPT2djh078sILLzB58mTKli3Lt99+y8CBAzl//vwtrdfN3o+i9jWZTABG3/DwcDZt2sSMGTOoVasWNjY2dOvWjfPnz19zrJycHFxdXUlMTLzqXunSpYsU76UayuvWraNy5cpm7aysrICr35sr9evXjxMnTjB79myqVauGlZUVjRs3viru2/l8FdXXX3+NhYUF6enpXLhwgZIl/+8/VX379mXMmDFs27aNrVu3Ur16dZo1a3bNcc6cOUNISAghISEsX74cZ2dnMjIyCAkJue77AEVbx2sZO3YsI0aMMM6zs7OVFBYREREREZEHjhLCIvdA2bJli1Qn91rat2+PnZ0dCxYsYMOGDXz99dfGPS8vL44ePUpmZqaxI3X79u03HdPR0ZFKlSqRlJRk7JCEi18A1rBhQ+N85MiRlChRgi+++IL27dvToUMHWrZsWaTYqlWrds25ExMT6dixI9OmTeO5554zu2djY3NL9Ycv2bVrFwUFBcTGxlKixMU/dPjggw+uanfhwgW+++474xkPHjzI6dOn8fLyKvJclpaWxu7VW5GUlERoaKjxpYM5OTlmX0h3pfr16/PHH39QsmRJ3N3db3k+AG9vb6ysrMjIyDB7ny/n5+fHkiVLyMvLu+Yu4aSkJObPn0/79u0BOHr0KP/73/+KHMP27dupWrUqAKdOneLQoUPGent5eZGUlHTVfJ6enlhYWACwatUqPvnkExITE+nevTuTJk0iKirKaF+uXDk6d+5MXFwc27Zto3///teN5ccff+TEiRPExMQYidnvvvvOrI2lpSWA2XtclHW8FisrqxsmjEVEREREREQeBEoIi9ymnJwcfvrpJ+P8l19+ISUlhbJlyxoJsdthYWFBaGgoY8eOxcPDw+xP8Fu3bo2npyf9+vXjjTfeIDs7m3HjxhVp3IiICCZOnEjNmjUJCAggLi6OlJQUo0zDunXrePfdd9m2bRv169cnIiKCfv36sXfvXsqUKXPT2K7lq6++omPHjrz88ss89dRT/PHHH8DFJNztJswBatWqRV5eHnPnzqVTp04kJSWxcOHCq9qVKlWKl156iTlz5lCyZEnCwsJo1KiRWRL8Ztzd3dmxYwfp6enY29sXOW4PDw8++eQTOnXqhMlkYvz48Tfcedy6dWsaN25M586dmT59Op6envz++++sW7eOLl26XLdEw+UcHBwIDw/nlVdeoaCggEcffZSsrCySkpJwdHSkX79+hIWFMXfuXHr06MHYsWNxcnJi+/btNGzYkNq1a+Ph4cGyZcsIDAwkOzubiIiIm+4qvlx0dDTlypWjYsWKjBs3jvLly9O5c2fg4i8cgoKCmDRpEs888wzbtm1j3rx5zJ8/H4Bff/2VF154gWnTpvHoo48SFxdHx44dadeuHY0aNTLmGDRoEB07diQ/P59+/fpdN5aqVatiaWnJ3LlzGTJkCPv372fSpElmbapVq4bJZGLt2rW0b98eGxubIq2jiIiIiIiIyD+VagiL3KbvvvuOevXqUa9ePQBGjBhBvXr1mDBhwh2Pfan0wZW7H0uUKMHq1av5+++/adiwIYMGDWLy5MlFGnPYsGGMGDGCkSNH4uvry4YNG/jss8/w8PDg+PHjDBw4kMjISOrXrw9AVFQUFStWZMiQIUWK7VqWLFnC2bNnmTp1Kq6ursbRtWvXIq7Etfn7+/Pmm28ybdo06taty/Lly5k6depV7WxtbRk9ejS9evWiadOm2Nvbs2rVqluaKzw8HAsLC7y9vY2SA0Xx5ptvUqZMGZo0aUKnTp0ICQkx1vZaTCYT69evp3nz5vTv3x9PT0969OjBkSNHzEpp3MykSZMYP348U6dOxcvLi7Zt27Ju3TqqV68OXNxh+9///pecnBxatGhBgwYNePvtt43dwosXL+bUqVPUr1+fPn36MGzYMCpUqFDk+WNiYnj55Zdp0KABf/zxB59//rmxC7d+/fp88MEHrFy5krp16zJhwgSio6MJDQ2lsLCQ0NBQGjZsSFhYGAAhISG88MILPPvss0YZB7iYPHd1dSUkJMSsHMuVnJ2diY+P58MPP8Tb29uojX25ypUrExUVxZgxY6hYsaIx983WUUREREREROSfylRYWFhY3EGIiLlvvvmGVq1acfTo0VtKBt4PD3Jsl4uPj2f48OGcPn26uEORuywnJ4fKlSsTFxd3x79cuJeys7NxcnIiKysLR0fH4g5HRERERERE/uWK+nOoSkaIPEByc3M5fvw4kZGRPP300w9UwvVBjk0eDgUFBfzvf/8jNjaW0qVL88QTTxR3SCIiIiIiIiL/OCoZIfIAef/996lWrRqnT59m+vTpxR2OmQc5Nnk4ZGRkULFiRVasWMG7775LyZL6naaIiIiIiIjIrVLJCBERuaHExEQee+wxTp06RenSpa/ZJjIykjVr1pCSknJfY7uWK+MtrvIhKhkhIiIiIiIi91NRfw7VDmERETETHBzM8OHDb6lPeHg4CQkJ9yagO/TMM89w6NCh4g5DRERERERE5IGgv7cVEZE7Zm9vj729/T2do7CwkPz8/FsuFWFjY4ONjc09ikpE5J/Ffcy64g5B7oL0mA7FHYKIiIj8g2mHsIiIGEJDQ9myZQuzZ8/GZDJhMplIT08HYNeuXQQGBmJra0uTJk04ePCg0S8yMpKAgADjvKCggOjoaKpUqYKVlRUBAQFs2LDBuJ+eno7JZGLlypU0adIEa2tr6taty5YtW4w2iYmJmEwmvvjiCxo0aICVlRXffvstubm5DBs2jAoVKmBtbc2jjz5KcnLydZ8pPj7erNTFpViXLVuGu7s7Tk5O9OjRg7/++sss/qlTp1K9enVsbGzw9/fno48+uoOVFREREREREXkwKCEsIiKG2bNn07hxYwYPHkxmZiaZmZm4ubkBMG7cOGJjY/nuu+8oWbIkAwYMuOE4sbGxzJgxg7179xISEsITTzzB4cOHzdpFREQwcuRIdu/eTePGjenUqRMnTpwwazNmzBhiYmJITU3Fz8+PUaNG8fHHH7NkyRK+//57atWqRUhICCdPnizyc6alpbFmzRrWrl3L2rVr2bJlCzExMcb9qVOnsnTpUhYuXMgPP/zAK6+8wrPPPmuWsL5Sbm4u2dnZZoeIiIiIiIjIg0YJYRERMTg5OWFpaYmtrS0uLi64uLhgYWEBwOTJk2nRogXe3t6MGTOGrVu3cu7cuWuOM2PGDEaPHk2PHj2oXbs206ZNIyAggFmzZpm1CwsL46mnnsLLy4sFCxbg5OTE4sWLzdpER0fTpk0batasiZWVFQsWLOCNN96gXbt2eHt78/bbb2NjY3NVvxspKCggPj6eunXr0qxZM/r06WPUQM7NzWXKlCm8++67hISEUKNGDUJDQ3n22WdZtGjRdcecOnUqTk5OxnEpkS4iIiIiIiLyIFFCWEREisTPz8947erqCsCxY8euapednc3vv/9O06ZNza43bdqU1NRUs2uNGzc2XpcsWZLAwMCr2gQGBhqv09LSyMvLMxu7VKlSNGzY8Kp+N+Lu7o6Dg4PZ81x6lp9++omzZ8/Spk0bozayvb09S5cuJS0t7bpjjh07lqysLOM4evRokeMRERERERERuV/0pXIiIlIkpUqVMl6bTCbg4k7be83Ozu6uj3n5s8DF57n0LDk5OQCsW7eOypUrm7WzsrK67phWVlY3vC8iIiIiIiLyINAOYRERMWNpaUl+fv5t93d0dKRSpUokJSWZXU9KSsLb29vs2vbt243XFy5cYNeuXXh5eV137Jo1a2JpaWk2dl5eHsnJyVeNfbu8vb2xsrIiIyODWrVqmR0qAyEiIiIiIiL/dNohLCIiZtzd3dmxYwfp6enY29vf1i7giIgIJk6cSM2aNQkICCAuLo6UlBSWL19u1u6tt97Cw8MDLy8vZs6cyalTp274ZXV2dna88MILREREULZsWapWrcr06dM5e/YsAwcOvOU4r8XBwYHw8HBeeeUVCgoKePTRR8nKyiIpKQlHR0f69et3V+YRESkO6TEdijsEERERESlmSgiLiIiZ8PBw+vXrh7e3N3///TdxcXG3PMawYcPIyspi5MiRHDt2DG9vbz777DM8PDzM2sXExBATE0NKSgq1atXis88+o3z58jccOyYmhoKCAvr06cNff/1FYGAgGzdupEyZMrcc5/VMmjQJZ2dnpk6dys8//0zp0qWpX78+r7766l2bQ0RERERERKQ4mAoLCwuLOwgREXm4pKenU716dXbv3k1AQEBxh3NPZGdn4+TkRFZWFo6OjsUdjoiIiIiIiPzLFfXnUNUQFhEREREREREREXlIKCEsIiIiIiIiIiIi8pBQQlhE5CGQmJiIyWTi9OnT93SeyMjIIpWAcHd3p7Cw8J6Xi0hPT8dkMpGSknJP5xERERERERH5p1BCWETkXyg4OJjhw4cXdxjFzs3NjczMTOrWrVvcoYiIiIiIiIg8EEoWdwAiIvJwO3/+PJaWlvdkbAsLC1xcXO7J2CJy97iPWVfcITw00mM6FHcIIiIiIlLMtENYRORfJjQ0lC1btjB79mxMJhMmk4n09HQAdu3aRWBgILa2tjRp0oSDBw+a9f3000+pX78+1tbW1KhRg6ioKC5cuGDcz8jI4Mknn8Te3h5HR0e6d+/On3/+eVUMixYtws3NDVtbW7p3705WVpZZfJ07d2by5MlUqlSJ2rVrA7Bv3z5atmyJjY0N5cqV47nnniMnJ+eqflOmTKFixYqULl2a6OhoLly4QEREBGXLlqVKlSrExcUZfa4sGXGpdEZCQsIdrYOIiIiIiIjIP5USwiIi/zKzZ8+mcePGDB48mMzMTDIzM3FzcwNg3LhxxMbG8t1331GyZEkGDBhg9Pvmm2/o27cvL7/8MgcOHGDRokXEx8czefJkAAoKCnjyySc5efIkW7ZsYdOmTfz8888888wzZvP/9NNPfPDBB3z++eds2LCB3bt3M3ToULM2CQkJHDx4kE2bNrF27VrOnDlDSEgIZcqUITk5mQ8//JDNmzcTFhZm1u+///0vv//+O19//TVvvvkmEydOpGPHjpQpU4YdO3YwZMgQnn/+eX799dcbrtGdrMP15Obmkp2dbXaIiIiIiIiIPGiUEBYR+ZdxcnLC0tISW1tbXFxccHFxwcLCAoDJkyfTokULvL29GTNmDFu3buXcuXMAREVFMWbMGPr160eNGjVo06YNkyZNYtGiRcDFJO6+fftYsWIFDRo04JFHHmHp0qVs2bKF5ORkY/5z586xdOlSAgICaN68OXPnzmXlypX88ccfRhs7OzveeecdfHx88PHxYcWKFUa/unXr0rJlS+bNm8eyZcvMdiCXLVuWOXPmULt2bQYMGEDt2rU5e/Ysr776Kh4eHowdOxZLS0u+/fbbG67RnazD9UydOhUnJyfjuJSEFxEREREREXmQKCEsIvIQ8fPzM167uroCcOzYMQD27NlDdHQ09vb2xnFpl/HZs2dJTU3Fzc3NLNHp7e1N6dKlSU1NNa5VrVqVypUrG+eNGzemoKDArCyDr6+vWd3g1NRU/P39sbOzM641bdr0qn4+Pj6UKPF//+mqWLEivr6+xrmFhQXlypUznulerMP1jB07lqysLOM4evToDWMQERERERERKQ76UjkRkYdIqVKljNcmkwm4WAoCICcnh6ioKLp27XpVP2tr67sax+WJ31txefxw8Rmude3SMxVlnLu1DlZWVlhZWd34AURERERERESKmRLCIiL/QpaWluTn599Sn/r163Pw4EFq1ap1zfteXl4cPXqUo0ePGruEDxw4wOnTp/H29jbaZWRk8Pvvv1OpUiUAtm/fTokSJYwvj7ve2PHx8Zw5c8ZIFiclJd20371ws3UQERERERER+SdTQlhE5F/I3d2dHTt2kJ6ejr29/U13zAJMmDCBjh07UrVqVbp160aJEiXYs2cP+/fv5/XXX6d169b4+vrSu3dvZs2axYULFxg6dCgtWrQgMDDQGMfa2pp+/foxY8YMsrOzGTZsGN27d8fFxeW6c/fu3ZuJEyfSr18/IiMjOX78OC+99BJ9+vShYsWKd2VNiupm6yAid196TIfiDkFERERE5KGhGsIiIv9C4eHhWFhY4O3tjbOzMxkZGTftExISwtq1a/nyyy8JCgqiUaNGzJw5k2rVqgEXSyt8+umnlClThubNm9O6dWtq1KjBqlWrzMapVasWXbt2pX379jz++OP4+fkxf/78G85ta2vLxo0bOXnyJEFBQXTr1o1WrVoxb96821+E23SzdRARERERERH5JzMVFhYWFncQIiIi/zbZ2dk4OTmRlZWFo6NjcYcjIiIiIiIi/3JF/TlUO4RFREREREREREREHhJKCIuIiIiIiIiIiIg8JJQQFhEpovPnz1OrVi22bt0KQHp6OiaTiZSUlLs6z70a90FiMplYs2ZNcYdRJAcOHKBKlSqcOXOmuEMRERERERERuWNKCIs8xIKDgxk+fPhdG8/d3Z1Zs2bdtfHuhruZeFy4cCHVq1enSZMmd2U8ub8SExMxmUycPn36lvp5e3vTqFEj3nzzzXsTmIiIiIiIiMh9VLK4AxCRf77z589jaWlZpLb5+fmYTCZKlPhn/T6qsLCQefPmER0dXdyhUFhYSH5+PiVL6p/w+6V///4MHjyYsWPHat1F5I65j1lXbHOnx3QotrlFRERE5MHwz8rIiMhdExoaypYtW5g9ezYmkwmTyUR6ejr5+fkMHDiQ6tWrY2NjQ+3atZk9e/ZVfTt37szkyZOpVKkStWvXJjg4mCNHjvDKK68Y4wHEx8dTunRpPvvsM7y9vbGysiIjI4NTp07Rt29fypQpg62tLe3atePw4cPGHJf6bdy4ES8vL+zt7Wnbti2ZmZlGm+TkZNq0aUP58uVxcnKiRYsWfP/998Z9d3d3ALp06YLJZDLOAT799FPq16+PtbU1NWrUICoqigsXLlx3vXbt2kVaWhodOlz9g/TPP//MY489hq2tLf7+/mzbtg2AM2fO4OjoyEcffWTWfs2aNdjZ2fHXX38BsHPnTurVq4e1tTWBgYHs3r3brP2lna1ffPEFDRo0wMrKim+//Zbc3FyGDRtGhQoVsLa25tFHHyU5ORmAc+fO4ePjw3PPPWeMk5aWhoODA++++26RYrtUuuKDDz6gWbNm2NjYEBQUxKFDh0hOTiYwMBB7e3vatWvH8ePHi/y+XMu+ffto2bIlNjY2lCtXjueee46cnBzj/qXP3IwZM3B1daVcuXK8+OKL5OXlGW2WLVtGYGAgDg4OuLi40KtXL44dOwZcLMPx2GOPAVCmTBlMJhOhoaEAFBQUMHXqVOMz7+/vf9W6tGnThpMnT7Jly5YbPoeIiIiIiIjIg04JYZGH1OzZs2ncuDGDBw8mMzOTzMxM3NzcKCgooEqVKnz44YccOHCACRMm8Oqrr/LBBx+Y9U9ISODgwYNs2rSJtWvX8sknn1ClShWio6ON8S45e/Ys06ZN45133uGHH36gQoUKhIaG8t133/HZZ5+xbds2CgsLad++vVmC7+zZs8yYMYNly5bx9ddfk5GRQXh4uHH/r7/+ol+/fnz77bds374dDw8P2rdvbyRaLyVH4+LiyMzMNM6/+eYb+vbty8svv8yBAwdYtGgR8fHxTJ48+brr9c033+Dp6YmDg8NV98aNG0d4eDgpKSl4enrSs2dPLly4gJ2dHT169CAuLs6sfVxcHN26dcPBwYGcnBw6duyIt7c3u3btIjIy0uwZLzdmzBhiYmJITU3Fz8+PUaNG8fHHH7NkyRK+//57atWqRUhICCdPnsTa2prly5ezZMkSPv30U/Lz83n22Wdp06YNAwYMKFJsl0ycOJHXXnuN77//npIlS9KrVy9GjRrF7Nmz+eabb/jpp5+YMGFCkd+XK505c4aQkBDKlClDcnIyH374IZs3byYsLMys3VdffUVaWhpfffUVS5YsIT4+nvj4eON+Xl4ekyZNYs+ePaxZs4b09HQj6evm5sbHH38MwMGDB8nMzDR+0TF16lSWLl3KwoUL+eGHH3jllVd49tlnzZK/lpaWBAQE8M0331zzGQByc3PJzs42O0REREREREQeNPq7V5GHlJOTE5aWltja2uLi4mJct7CwICoqyjivXr0627Zt44MPPqB79+7GdTs7O9555x2zUhEWFhbG7szL5eXlMX/+fPz9/QE4fPgwn332GUlJSUY93uXLl+Pm5saaNWt4+umnjX4LFy6kZs2aAISFhZmVbGjZsqXZPP/5z38oXbo0W7ZsoWPHjjg7OwNQunRps5iioqIYM2YM/fr1A6BGjRpMmjSJUaNGMXHixGuu15EjR6hUqdI174WHhxs7h6OiovDx8eGnn36iTp06DBo0iCZNmpCZmYmrqyvHjh1j/fr1bN68GYAVK1ZQUFDA4sWLsba2xsfHh19//ZUXXnjhqnmio6Np06YNcDGJumDBAuLj42nXrh0Ab7/9Nps2bWLx4sVEREQQEBDA66+/zqBBg+jRowdHjhxh7dq1xng3i+3y5wsJCQHg5ZdfpmfPniQkJNC0aVMABg4caJaYvdn7cqUVK1Zw7tw5li5dip2dHQDz5s2jU6dOTJs2jYoVKwIXd/bOmzcPCwsL6tSpQ4cOHUhISGDw4MEADBgwwBizRo0azJkzh6CgIHJycrC3t6ds2bIAVKhQgdKlSwMXk7hTpkxh8+bNNG7c2Oj77bffsmjRIlq0aGGMWalSJY4cOXJV/JdMnTrV7H87IiIiIiIiIg8i7RAWkau89dZbNGjQAGdnZ+zt7fnPf/5DRkaGWRtfX98i1w22tLTEz8/POE9NTaVkyZI88sgjxrVy5cpRu3ZtUlNTjWu2trZGMhgwkpaX/PnnnwwePBgPDw+cnJxwdHQkJyfnqlivtGfPHqKjo7G3tzeOSzulz549e80+f//9N9bW1te8d/mzubq6AhhxNmzYEB8fH5YsWQLAe++9R7Vq1WjevLmxFn5+fmZjX0pMXikwMNB4nZaWRl5enpGUBShVqhQNGzY0W8ORI0fi6enJvHnzePfddylXrpxx72axXev5LiVnfX19za7dyfuSmpqKv7+/kQwGaNq0KQUFBRw8eNC45uPjg4WFhXF+5edh165ddOrUiapVq+Lg4GAkc2/0efjpp584e/Ysbdq0Mfs8LF26lLS0NLO2NjY21/18AIwdO5asrCzjOHr06HXbioiIiIiIiBQX7RAWETMrV64kPDyc2NhYGjdujIODA2+88QY7duwwa3d58u5mbGxsjJrCt6JUqVJm5yaTicLCQuO8X79+nDhxgtmzZ1OtWjWsrKxo3Lgx58+fv+G4OTk5REVF0bVr16vuXS/pW758efbt23fTOC89Z0FBgXFt0KBBvPXWW4wZM4a4uDj69+9/W+txK2t+ybFjxzh06BAWFhYcPnyYtm3bmt0vSmzXer4rr13+vLf7vtzMtT4Pl+a9VHYiJCSE5cuX4+zsTEZGBiEhITec91Kd4nXr1lG5cmWze1ZWVmbnJ0+eNPsFxZWsrKyu6iMiIiIiIiLyoNEOYZGHmKWlJfn5+WbXLpVxGDp0KPXq1aNWrVpX7ZS8lfGuxcvLiwsXLpglmU+cOMHBgwfx9vYucvxJSUkMGzaM9u3b4+Pjg5WVFf/73//M2pQqVeqqmOrXr8/BgwepVavWVUeJEtf+Z7FevXr8+OOPZgnponr22Wc5cuQIc+bM4cCBA0apCri4Fnv37uXcuXPGte3bt990zJo1a2JpaUlSUpJxLS8vj+TkZLM1HDBgAL6+vixZsoTRo0eb7R6+WWy3qyjvy+W8vLzYs2cPZ86cMRujRIkS1K5du0hz/vjjj5w4cYKYmBiaNWtGnTp1zHYPA8aO9ss/D5d/0eGVnwU3Nzez/vv376devXpFikdERERERETkQaUdwiIPMXd3d3bs2EF6erpRY9XDw4OlS5eyceNGqlevzrJly0hOTqZ69epFGu/rr7+mR48eWFlZUb58+Wu28/Dw4Mknn2Tw4MEsWrQIBwcHxowZQ+XKlXnyySeLHL+HhwfLli0jMDCQ7OxsIiIisLGxuSqmS/VuraysKFOmDBMmTKBjx45UrVqVbt26UaJECfbs2cP+/ft5/fXXrznXY489Rk5ODj/88AN169YtcoxwsfZt165diYiI4PHHH6dKlSrGvV69ejFu3DgGDx7M2LFjSU9PZ8aMGTcd087OjhdeeIGIiAjKli1L1apVmT59OmfPnmXgwIHAxdIf27ZtY+/evbi5ubFu3Tp69+7N9u3bjeTojWK7XUV5Xy7Xu3dvJk6cSL9+/YiMjOT48eO89NJL9OnTxyhRcTNVq1bF0tKSuXPnMmTIEPbv38+kSZPM2lSrVg2TycTatWtp3749NjY2ODg4EB4eziuvvEJBQQGPPvooWVlZJCUl4ejoaCTI09PT+e2332jduvXtL4yIyP+XHtOhuEMQERERkYeYdgiLPMTCw8OxsLDA29vb+BP7559/nq5du/LMM8/wyCOPcOLECYYOHVqk8aKjo0lPT6dmzZrGF7pdT1xcHA0aNKBjx440btyYwsJC1q9ff1VZgBtZvHgxp06don79+vTp04dhw4ZRoUIFszaxsbFs2rQJNzc3Y3dnSEgIa9eu5csvvyQoKIhGjRoxc+ZMqlWrdt25ypUrR5cuXVi+fHmR47vcwIEDOX/+vNkXnwHY29vz+eefs2/fPurVq8e4ceOYNm1akcaMiYnhqaeeok+fPtSvX5+ffvqJjRs3UqZMGX788UciIiKYP3++sdN1/vz5/O9//2P8+PFFiu12FeV9uZytrS0bN27k5MmTBAUF0a1bN1q1asW8efOKPKezszPx8fF8+OGHeHt7ExMTc1VivXLlysYXClasWJGwsDAAJk2axPjx45k6dSpeXl60bduWdevWmf0S5P333+fxxx+/4WdERERERERE5J/AVHg7f/8sIvIQ2rt3L23atCEtLQ17e/tb6rts2TJeeeUVfv/99yJ/Gd/98iDH9iA4f/48Hh4erFixwuxL/G4mOzsbJycnsrKycHR0vIcRioiIiIiIiBT951DtEBYRKSI/Pz+mTZvGL7/8UuQ+Z8+eJS0tjZiYGJ5//vkHKuH6IMf2IMnIyODVV1+9pWSwiIiIiIiIyINKCWERkVsQGhqKr69vkdtPnz6dOnXq4OLiwtixY+9hZLfuQY7tQVKrVi2ef/754g5DRERERERE5K5QyQgREXlgubu7M3z4cIYPHw7AH3/8QZ8+fdi6dSulSpXi9OnTxRrfjahkhIiIiIiIiNxPKhkhIiL/OjNnziQzM5OUlBQOHTpUpD7x8fGULl36tueMjIwkMTHxtvuLiIiIiIiIPEhKFncAIiIiRZWWlkaDBg3w8PC4p/Pk5eUxZ84chg0bZlw7duwYq1evVvkIEflHcx+zrrhDKHbpMR2KOwQRERGRYqUdwiIick999NFH+Pr6YmNjQ7ly5WjdujVnzpwhODjYKAVxSefOnQkNDb3mOO7u7nz88ccsXboUk8lktHvzzTfx9fXFzs4ONzc3hg4dSk5ODgCJiYn079+frKwsTCYTJpOJyMhIAHJzcwkPD6dy5crY2dnxyCOPGDuBTSYTAC1btuSHH35g9erVdOrUiSpVqtzt5RERERERERG5r7RDWERE7pnMzEx69uzJ9OnT6dKlC3/99RfffPMNt1O+Pjk5mb59++Lo6Mjs2bOxsbEBoESJEsyZM4fq1avz888/M3ToUEaNGsX8+fNp0qQJs2bNYsKECRw8eBAAe3t7AMLCwjhw4AArV66kUqVKrF69mrZt27Jv3z48PDwYOXIkLVu25NFHH6Vq1aps374dJyen68aXm5tLbm6ucZ6dnX3LzygiIiIiIiJyrykhLCIi90xmZiYXLlyga9euVKtWDQBfX9/bGsvZ2RkrKytsbGxwcXExrl++y9jd3Z3XX3+dIUOGMH/+fCwtLXFycsJkMpn1ycjIIC4ujoyMDCpVqgRAeHg4GzZsIC4ujkmTJjFv3jw++ugj2rdvT6VKlWjbti0TJ06kbdu214xv6tSpREVF3daziYiIiIiIiNwvKhkhIiL3jL+/P61atcLX15enn36at99+m1OnTt3VOTZv3kyrVq2oXLkyDg4O9OnThxMnTnD27Nnr9tm3bx/5+fl4enpib29vHFu2bCEtLY2CggLy8vJISEjAx8eHLl26sGbNGtLT06875tixY8nKyjKOo0eP3tXnFBEREREREbkbtENYRETuGQsLCzZt2sTWrVv58ssvmTt3LuPGjWPHjh2UKFHiqtIReXl5tzR+eno6HTt25IUXXmDy5MmULVuWb7/9loEDB3L+/HlsbW2v2S8nJwcLCwt27dqFhYWF2T17e3tKlSpFeHi42fWKFSsyZMiQ68ZiZWWFlZXVLcUvIiIiIiIicr8pISwiIveUyWSiadOmNG3alAkTJlCtWjVWr16Ns7MzmZmZRrv8/Hz279/PY489VuSxd+3aRUFBAbGxsZQocfGPXj744AOzNpaWluTn55tdq1evHvn5+Rw7doxmzZrdcI5LX0InIvJvkB7TobhDEBEREZFipoSwiIjcMzt27CAhIYHHH3+cChUqsGPHDo4fP46Xlxd2dnaMGDGCdevWUbNmTd58801Onz59S+PXqlWLvLw85s6dS6dOnUhKSmLhwoVmbdzd3cnJySEhIQF/f39sbW3x9PSkd+/e9O3bl9jYWOrVq8fx48dJSEjAz8+PDh2UMBEREREREZF/J9UQFhGRe8bR0ZGvv/6a9u3b4+npyWuvvUZsbCzt2rVjwIAB9OvXj759+9KiRQtq1KhxS7uD4WKN4jfffJNp06ZRt25dli9fztSpU83aNGnShCFDhvDMM8/g7OzM9OnTAYiLi6Nv376MHDmS2rVr07lzZ5KTk6latepde34RERERERGRB42p8MoCjiIiInLHsrOzcXJyIisrC0dHx+IOR0RERERERP7livpzqHYIi4iIiIiIiIiIiDwklBAWEZH7IjQ0lM6dO99SH5PJxJo1a+75vMHBwQwfPvyO5hERERERERH5J9CXyomIyH0xe/ZsbrVKUWZmJmXKlLnv84qIiIiIiIj8WykhLCIi94WTk9Mt93FxcSmWeUVE/q3cx6wr7hBEHljpMR2KOwQREZH7QiUjREQeMh999BG+vr7Y2NhQrlw5WrduzZkzZ65ZNqFz586EhoYa57m5uYwePRo3NzesrKyoVasWixcvNu7/8MMPdOzYEUdHRxwcHGjWrBlpaWnA1aUbgoODGTZsGKNGjaJs2bK4uLgQGRlpNv/lJSPS09MxmUx88MEHNGvWDBsbG4KCgjh06BDJyckEBgZib29Pu3btOH78uDHGlfOeOXOGvn37Ym9vj6urK7GxsVetUW5uLuHh4VSuXBk7OzseeeQREhMTb2mdRURERERERB5ESgiLiDxEMjMz6dmzJwMGDCA1NZXExES6du1a5JIKffv25f3332fOnDmkpqayaNEi7O3tAfjtt99o3rw5VlZW/Pe//2XXrl0MGDCACxcuXHe8JUuWYGdnx44dO5g+fTrR0dFs2rTphjFMnDiR1157je+//56SJUvSq1cvRo0axezZs/nmm2/46aefmDBhwnX7R0REsGXLFj799FO+/PJLEhMT+f77783ahIWFsW3bNlauXMnevXt5+umnadu2LYcPHy7SOomIiIiIiIg8qFQyQkTkIZKZmcmFCxfo2rUr1apVA8DX17dIfQ8dOsQHH3zApk2baN26NQA1atQw7r/11ls4OTmxcuVKSpUqBYCnp+cNx/Tz82PixIkAeHh4MG/ePBISEmjTps11+4SHhxMSEgLAyy+/TM+ePUlISKBp06YADBw4kPj4+Gv2zcnJYfHixbz33nu0atUKuJiUrlKlitEmIyODuLg4MjIyqFSpkjHnhg0biIuLY8qUKdccOzc3l9zcXOM8Ozv7hs8uIiIiIiIiUhyUEBYReYj4+/vTqlUrfH19CQkJ4fHHH6dbt25F+uK2lJQULCwsaNGixXXvN2vWzEgGF4Wfn5/ZuaurK8eOHStyn4oVKwLmSe2KFSted4y0tDTOnz/PI488YlwrW7YstWvXNs737dtHfn7+Vcns3NxcypUrd924pk6dSlRU1A1jFxERERERESluSgiLiDxELCws2LRpE1u3buXLL79k7ty5jBs3jh07dlCiRImrSkfk5eUZr21sbG449s3uX8uVyWOTyURBQUGR+5hMpmteu9kYN5KTk4OFhQW7du3CwsLC7N6l8hjXMnbsWEaMGGGcZ2dn4+bmdttxiIiIiIiIiNwLqiEsIvKQMZlMNG3alKioKHbv3o2lpSWrV6/G2dmZzMxMo11+fj779+83zn19fSkoKGDLli3XHNfPz49vvvnGLIn8oKlZsyalSpVix44dxrVTp05x6NAh47xevXrk5+dz7NgxatWqZXa4uLhcd2wrKyscHR3NDhEREREREZEHjXYIi4g8RHbs2EFCQgKPP/44FSpUYMeOHRw/fhwvLy/s7OwYMWIE69ato2bNmrz55pucPn3a6Ovu7k6/fv0YMGAAc+bMwd/fnyNHjnDs2DG6d+9OWFgYc+fOpUePHowdOxYnJye2b99Ow4YNzUoyFCd7e3sGDhxIREQE5cqVo0KFCowbN44SJf7v96Oenp707t2bvn37EhsbS7169Th+/DgJCQn4+fnRoUOHYnwCEZE7kx6jf8NEREREHnZKCIuIPEQcHR35+uuvmTVrFtnZ2VSrVo3Y2FjatWtHXl4ee/bsoW/fvpQsWZJXXnmFxx57zKz/ggULePXVVxk6dCgnTpygatWqvPrqqwCUK1eO//73v0RERNCiRQssLCwICAgwvuztQfHGG2+Qk5NDp06dcHBwYOTIkWRlZZm1iYuL4/XXX2fkyJH89ttvlC9fnkaNGtGxY8diilpERERERETk7jAVXlkwUkRERO5YdnY2Tk5OZGVlqXyEiIiIiIiI3HNF/TlUNYRFREREREREREREHhJKCIuIiIiIiIiIiIg8JJQQFhGRe87d3Z1Zs2YVy7iJiYmYTCazL8gTEREREREReVgpISwiIobQ0FA6d+5c3GHcVU2aNCEzMxMnJ6fiDkVERERERESk2JUs7gBERETulby8PCwtLXFxcSnuUEREHgjuY9YVdwiG9JgOxR2CiIiIyENJO4RFRB5CH330Eb6+vtjY2FCuXDlat25NREQES5Ys4dNPP8VkMmEymUhMTARg9OjReHp6YmtrS40aNRg/fjx5eXlmY37++ecEBQVhbW1N+fLl6dKli9n9s2fPMmDAABwcHKhatSr/+c9/jHstW7YkLCzMrP3x48extLQkISEBgGPHjtGpUydsbGyoXr06y5cvv+q5TCYTCxYs4IknnsDOzo7JkydfVTIiPj6e0qVLs3HjRry8vLC3t6dt27ZkZmaajfXOO+/g5eWFtbU1derUYf78+be11iIiIiIiIiIPEiWERUQeMpmZmfTs2ZMBAwaQmppKYmIiXbt2ZeLEiXTv3t1IjmZmZtKkSRMAHBwciI+P58CBA8yePZu3336bmTNnGmOuW7eOLl260L59e3bv3k1CQgINGzY0mzc2NpbAwEB2797N0KFDeeGFFzh48CAAgwYNYsWKFeTm5hrt33vvPSpXrkzLli2Bi+Usjh49yldffcVHH33E/PnzOXbs2FXPFxkZSZcuXdi3bx8DBgy45hqcPXuWGTNmsGzZMr7++msyMjIIDw837i9fvpwJEyYwefJkUlNTmTJlCuPHj2fJkiW3ueoiIiIiIiIiDwaVjBARechkZmZy4cIFunbtSrVq1QDw9fUFwMbGhtzc3KtKLLz22mvGa3d3d8LDw1m5ciWjRo0CYPLkyfTo0YOoqCijnb+/v9kY7du3Z+jQocDFHcczZ87kq6++onbt2nTt2pWwsDA+/fRTunfvDlzcyRsaGorJZOLQoUN88cUX7Ny5k6CgIAAWL16Ml5fXVc/Xq1cv+vfvb5z//PPPV7XJy8tj4cKF1KxZE4CwsDCio6ON+xMnTiQ2NpauXbsCUL16dQ4cOMCiRYvo16/fNdc1NzfXLKGdnZ19zXYiIiIiIiIixUk7hEVEHjL+/v60atUKX19fnn76ad5++21OnTp1wz6rVq2iadOmuLi4YG9vz2uvvUZGRoZxPyUlhVatWt1wDD8/P+O1yWTCxcXF2OFrbW1Nnz59ePfddwH4/vvv2b9/P6GhoQCkpqZSsmRJGjRoYIxRp04dSpcufdU8gYGBN4wDwNbW1kgGA7i6uhqxnDlzhrS0NAYOHIi9vb1xvP7666SlpV13zKlTp+Lk5GQcbm5uN41DRERERERE5H5TQlhE5CFjYWHBpk2b+OKLL/D29mbu3LnUrl2bX3755Zrtt23bRu/evWnfvj1r165l9+7djBs3jvPnzxttbGxsbjpvqVKlzM5NJhMFBQXG+aBBg9i0aRO//vorcXFxtGzZ0tjBfCvs7OxuK5bCwkIAcnJyAHj77bdJSUkxjv3797N9+/brjjl27FiysrKM4+jRo7ccu4iIiIiIiMi9ppIRIiIPIZPJRNOmTWnatCkTJkygWrVqrF69GktLS/Lz883abt26lWrVqjFu3Djj2pEjR8za+Pn5kZCQYFaq4Vb5+voSGBjI22+/zYoVK5g3b55xr06dOly4cIFdu3YZJSMOHjxofFHc3VSxYkUqVarEzz//TO/evYvcz8rKCisrq7sej4iIiIiIiMjdpISwiMhDZseOHSQkJPD4449ToUIFduzYwfHjx/Hy8uLcuXNs3LiRgwcPUq5cOZycnPDw8CAjI4OVK1cSFBTEunXrWL16tdmYEydOpFWrVtSsWZMePXpw4cIF1q9fz+jRo28ptkGDBhEWFoadnR1dunQxrteuXZu2bdvy/PPPs2DBAkqWLMnw4cOLtDP5dkRFRTFs2DCcnJxo27Ytubm5fPfdd5w6dYoRI0bckzlFRO6H9JgOxR2CiIiIiBQzlYwQEXnIODo68vXXX9O+fXs8PT157bXXiI2NpV27dgwePJjatWsTGBiIs7MzSUlJPPHEE7zyyiuEhYUREBDA1q1bGT9+vNmYwcHBfPjhh3z22WcEBATQsmVLdu7cecux9ezZk5IlS9KzZ0+sra3N7sXFxVGpUiVatGhB165dee6556hQocIdrcX1DBo0iHfeeYe4uDh8fX1p0aIF8fHxVK9e/Z7MJyIiIiIiInK/mAovFU0UEREpZunp6dSsWZPk5GTq169f3OHckezsbJycnMjKysLR0bG4wxEREREREZF/uaL+HKqSESIiUuzy8vI4ceIEr732Go0aNfrHJ4NFREREREREHlQqGSEiIsUuKSkJV1dXkpOTWbhwYXGHIyIiIiIiIvKvpR3CIiJS7IKDg7lZBaP09HSqV6/O7t27CQgIuD+BiYiIiIiIiPzLaIewiIj8I7i5uZGZmUndunXv6rju7u7MmjXrro4pIiIiIiIi8qDSDmEREflHsLCwwMXFpbjDEBH5R3Mfs664Q/hXSY/pUNwhiIiIiNwy7RAWEZH74syZM/Tt2xd7e3tcXV2JjY0lODiY4cOHA2AymVizZo1Zn9KlSxMfHw9cLBlhMplISUkBIDExEZPJREJCAoGBgdja2tKkSRMOHjxo9E9LS+PJJ5+kYsWK2NvbExQUxObNm437wcHBHDlyhFdeeQWTyYTJZDLuffvttzRr1gwbGxvc3NwYNmwYZ86cuSdrIyIiIiIiInK/KCEsIiL3RUREBFu2bOHTTz/lyy+/JDExke+///6Oxx03bhyxsbF89913lCxZkgEDBhj3cnJyaN++PQkJCezevZu2bdvSqVMnMjIyAPjkk0+oUqUK0dHRZGZmkpmZCVxMJLdt25annnqKvXv3smrVKr799lvCwsLuOF4RERERERGR4qSSESIics/l5OSwePFi3nvvPVq1agXAkiVLqFKlyh2PPXnyZFq0aAHAmDFj6NChA+fOncPa2hp/f3/8/f2NtpMmTWL16tV89tlnhIWFUbZsWSwsLHBwcDArRzF16lR69+5t7F728PBgzpw5tGjRggULFmBtbX1VHLm5ueTm5hrn2dnZd/xsIiIiIiIiInebdgiLiMg9l5aWxvnz53nkkUeMa2XLlqV27dp3PLafn5/x2tXVFYBjx44BFxPR4eHheHl5Ubp0aezt7UlNTTV2CF/Pnj17iI+Px97e3jhCQkIoKCjgl19+uWafqVOn4uTkZBxubm53/GwiIiIiIiIid5t2CIuIyAPBZDJRWFhodi0vL++m/UqVKmU2BkBBQQEA4eHhbNq0iRkzZlCrVi1sbGzo1q0b58+fv+GYOTk5PP/88wwbNuyqe1WrVr1mn7FjxzJixAjjPDs7W0lhEREREREReeAoISwiIvdczZo1KVWqFDt27DASqqdOneLQoUNGuQdnZ2ejhi/A4cOHOXv27B3Nm5SURGhoKF26dAEuJnrT09PN2lhaWpKfn292rX79+hw4cIBatWoVeS4rKyusrKzuKF4RERERERGRe00JYRERuefs7e0ZOHAgERERlCtXjgoVKjBu3DhKlPi/ykUtW7Zk3rx5NG7cmPz8fEaPHm22+/d2eHh48Mknn9CpUydMJhPjx483dg9f4u7uztdff02PHj2wsrKifPnyjB49mkaNGhEWFsagQYOws7PjwIEDbNq0iXnz5t1RTCIixSk9pkNxhyAiIiIixUw1hEVE5L544403aNasGZ06daJ169Y8+uijNGjQwLgfGxuLm5sbzZo1o1evXoSHh2Nra3tHc7755puUKVOGJk2a0KlTJ0JCQqhfv75Zm+joaNLT06lZsybOzs7AxbrEW7Zs4dChQzRr1ox69eoxYcIEKlWqdEfxiIiIiIiIiBQ3U+GVBRtFRETuk+DgYAICApg1a1Zxh3LXZWdn4+TkRFZWFo6OjsUdjoiIiIiIiPzLFfXnUO0QFhEREREREREREXlIKCEsIiIiIiIiIiIi8pBQQlhERIpNYmLiXS8XERwczPDhw41zd3f3f2VJChEREREREZHbUbK4AxAREbmXkpOTsbOzK+4wRERERERERB4ISgiLiMgD5fz581haWl51PS8vj1KlSt3yeM7OzncjLBG5De5j1hV3CHKF9JgOxR2CiIiIiBQzlYwQEZE7EhwcTFhYGGFhYTg5OVG+fHnGjx9PYWEh0dHR1K1b96o+AQEBjB8/HoDQ0FA6d+7M5MmTqVSpErVr1yY9PR2TycSqVato0aIF1tbWLF++nBMnTtCzZ08qV66Mra0tvr6+vP/++zeM78qSESaTiXfeeYcuXbpga2uLh4cHn332mVmf/fv3065dO+zt7alYsSJ9+vThf//7350vloiIiIiIiEgxU0JYRETu2JIlSyhZsiQ7d+5k9uzZvPnmm7zzzjsMGDCA1NRUkpOTjba7d+9m79699O/f37iWkJDAwYMH2bRpE2vXrjWujxkzhpdffpnU1FRCQkI4d+4cDRo0YN26dezfv5/nnnuOPn36sHPnzluKNyoqiu7du7N3717at29P7969OXnyJACnT5+mZcuW1KtXj++++44NGzbw559/0r179xuOmZubS3Z2ttkhIiIiIiIi8qBRyQgREbljbm5uzJw5E5PJRO3atdm3bx8zZ85k8ODBhISEEBcXR1BQEABxcXG0aNGCGjVqGP3t7Ox45513jFIR6enpAAwfPpyuXbuazRUeHm68fumll9i4cSMffPABDRs2LHK8oaGh9OzZE4ApU6YwZ84cdu7cSdu2bZk3bx716tVjypQpRvt3330XNzc3Dh06hKen5zXHnDp1KlFRUUWOQURERERERKQ4aIewiIjcsUaNGmEymYzzxo0bc/jwYfLz8xk8eDDvv/8+586d4/z586xYsYIBAwaY9ff19b1m3eDAwECz8/z8fCZNmoSvry9ly5bF3t6ejRs3kpGRcUvx+vn5Ga/t7OxwdHTk2LFjAOzZs4evvvoKe3t746hTpw4AaWlp1x1z7NixZGVlGcfRo0dvKSYRERERERGR+0E7hEVE5J7q1KkTVlZWrF69GktLS/Ly8ujWrZtZGzs7u2v2vfL6G2+8wezZs5k1axa+vr7Y2dkxfPhwzp8/f0sxXfnldCaTiYKCAgBycnLo1KkT06ZNu6qfq6vrdce0srLCysrqluIQERERERERud+UEBYRkTu2Y8cOs/Pt27fj4eGBhYUFAP369SMuLg5LS0t69OiBjY3Nbc2TlJTEk08+ybPPPgtAQUEBhw4dwtvb+84e4DL169fn448/xt3dnZIl9Z9JERERERER+XfRT7oiInLHMjIyGDFiBM8//zzff/89c+fOJTY21rg/aNAgvLy8gItJ3dvl4eHBRx99xNatWylTpgxvvvkmf/75511NCL/44ou8/fbb9OzZk1GjRlG2bFl++uknVq5cyTvvvGMkuUXk5tJjOhR3CCIiIiIicgUlhEVE5I717duXv//+m4YNG2JhYcHLL7/Mc889Z9z38PCgSZMmnDx5kkceeeS253nttdf4+eefCQkJwdbWlueee47OnTuTlZV1Nx4DgEqVKpGUlMTo0aN5/PHHyc3NpVq1arRt25YSJVR6X0RERERERP7ZTIWFhYXFHYSIiPxzBQcHExAQwKxZs67bprCwEA8PD4YOHcqIESPuX3DFKDs7GycnJ7KysnB0dCzucERERERERORfrqg/h2qHsIiI3FPHjx9n5cqV/PHHH/Tv37+4wxERERERERF5qCkhLCIi91SFChUoX748//nPfyhTpkxxhyMiIiIiIiLyUFMxRJF/qMjISCpWrIjJZGLNmjWEhobSuXPn4g7roZeeno7JZCIlJcW4lpSUhK+vL6VKlbqr79Gl9764uLu7M2vWLBITE69bLsJkMrF69WqOHz9Or169rtnmxIkTVKhQgfT09HsX7B04cOAAVapU4cyZM8UdioiIiIiIiMgdU0JY5B8oNTWVqKgoFi1aRGZmJu3atSvukO6q+Ph4SpcuXdxh3DUjRowgICCAX375hfj4+Ls2bnG/98nJyWZfHHe7Jk+ezJNPPom7uzvwf0n1S0e5cuV4/PHH2b17t9EnODjYrM2l48KFC0abH374ge7du+Ps7IyVlRWenp5MmDCBs2fPms2/Z88ennjiCSpUqIC1tTXu7u4888wzHDt2DABvb28aNWrEm2++ecfPKiIiIiIiIlLcVDJC5B8kPz8fk8lEWloaAE8++SQmk+m+zX/+/HksLS3v23z/FmlpaQwZMoQqVarc1XFdXFzu6ni3ytnZ+Y7HOHv2LIsXL2bjxo1X3du8eTM+Pj78+uuvDBs2jHbt2vHjjz8avywYPHgw0dHRZn1Klrz4n7Xt27fTunVrWrduzbp166hYsSI7d+5k5MiRJCQk8NVXX2Fpacnx48dp1aoVHTt2ZOPGjZQuXZr09HQ+++wzsx3B/fv3Z/DgwYwdO9aYQ0Tkn8h9zLriDkHkgZIe06G4QxAREbnvtENY5B4JDg4mLCyMsLAwnJycKF++POPHj6ewsNBok5ubS3h4OJUrV8bOzo5HHnmExMRE4/6lnbKfffYZ3t7eWFlZMWDAADp16gRAiRIlrpsQvvTn/JcLCAggMjLSOM/IyODJJ5/E3t4eR0dHunfvzp9//mncj4yMJCAggHfeeYfq1atjbW1dpH4ACxYsoGbNmlhaWlK7dm2WLVtmdv/06dM8//zzVKxYEWtra+rWrcvatWtJTEykf//+ZGVlGbs+L8W8bNkyAgMDcXBwwMXFhV69ehm7OAESExMxmUwkJCQQGBiIra0tTZo04eDBg2Zzf/rpp9SvXx9ra2tq1KhBVFSUsbO0sLCQyMhIqlatipWVFZUqVWLYsGFG32uVaShduvQ1d/5e2ul64sQJBgwYgMlkMtpt2bKFhg0bYmVlhaurK2PGjDHb3RocHMywYcMYNWoUZcuWxcXFxey9u1Ysv/76Kz179qRs2bLY2dkRGBjIjh07rorrktGjR+Pp6YmtrS01atRg/Pjx5OXlmbX5/PPPCQoKwtramvLly9OlSxfj3pWfscOHD9O8eXOsra3x9vZm06ZN1537kvXr12NlZUWjRo2uuleuXDlcXFwIDAxkxowZ/Pnnn2bPY2tri4uLi9kBF9/DgQMH4uXlxSeffELDhg2pVq0aTz/9NJ9//jnbtm1j5syZwMVyHllZWbzzzjvUq1eP6tWr89hjjzFz5kyqV69uzNWmTRtOnjzJli1bbvpMIiIiIiIiIg8yJYRF7qElS5ZQsmRJdu7cyezZs3nzzTd55513jPthYWFs27aNlStXsnfvXp5++mnatm3L4cOHjTZnz55l2rRpvPPOO/zwww/MmTOHuLg44GLJgMzMzNuKraCggCeffNJIcm3atImff/6ZZ555xqzdTz/9xMcff8wnn3xCSkpKkfqtXr2al19+mZEjR7J//36ef/55+vfvz1dffWXM3a5dO5KSknjvvfc4cOAAMTExWFhY0KRJE2bNmoWjo6PxfOHh4QDk5eUxadIk9uzZw5o1a0hPTyc0NPSqZxs3bhyxsbF89913lCxZkgEDBhj3vvnmG/r27cvLL7/MgQMHWLRoEfHx8UyePBmAjz/+mJkzZ7Jo0SIOHz7MmjVr8PX1va01dnNzIzMzE0dHR2bNmkVmZibPPPMMv/32G+3btycoKIg9e/awYMECFi9ezOuvv27Wf8mSJdjZ2bFjxw6mT59OdHT0dZOsOTk5tGjRgt9++43PPvuMPXv2MGrUKAoKCq4bn4ODA/Hx8Rw4cIDZs2fz9ttvG4lSgHXr1tGlSxfat2/P7t27SUhIoGHDhtccq6CggK5du2JpacmOHTtYuHAho0ePvukaffPNNzRo0OCm7WxsbICLu9RvJiUlhQMHDjBixAhKlDD/z5y/vz+tW7fm/fffBy7usr5w4QKrV682+2XNlSwtLQkICOCbb765bpvc3Fyys7PNDhEREREREZEHjf7uVeQecnNzY+bMmZhMJmrXrs2+ffuYOXMmgwcPJiMjg7i4ODIyMqhUqRIA4eHhbNiwgbi4OKZMmQJcTILOnz8ff39/Y9xLfzJ/JyUDEhIS2LdvH7/88gtubm4ALF26FB8fH5KTkwkKCgIuJuCWLl1qlAfYtGnTTfvNmDGD0NBQhg4dClysobt9+3ZmzJjBY489xubNm9m5cyepqal4enoCUKNGDSM2JycnTCbTVc93eWK3Ro0azJkzh6CgIHJycrC3tzfuTZ48mRYtWgAwZswYOnTowLlz57C2tiYqKooxY8bQr18/Y5xJkyYxatQoJk6cSEZGBi4uLrRu3ZpSpUpRtWrV6yZBb8bCwgIXFxdMJhNOTk7G88yfPx83NzfmzZuHyWSiTp06/P7774wePZoJEyYYSUw/Pz8mTpwIgIeHB/PmzSMhIYE2bdpcNdeKFSs4fvw4ycnJlC1bFoBatWrdML7XXnvNeO3u7k54eDgrV65k1KhRxjr26NGDqKgoo93ln8PLbd68mR9//JGNGzcan+cpU6bctMbxkSNHjPbXc/r0aSZNmoS9vb3ZezF//nyzX7A8//zzxMbGcujQIQC8vLyuOZ6XlxfffvstAI0aNeLVV1+lV69eDBkyhIYNG9KyZUv69u1LxYoVzfpVqlSJI0eOXDfOqVOnmq2ViIiIiIiIyINIO4RF7qFGjRqZlXRo3Lgxhw8fJj8/n3379pGfn4+npyf29vbGsWXLFqNGMFzcmejn53fXY0tNTcXNzc1I6sLFL88qXbo0qampxrVq1aqZ1YotSr/U1FSaNm1qNl/Tpk2N+ykpKVSpUsVIBhfVrl276NSpE1WrVsXBwcFI+mZkZJi1u3y9XF1dAYzSEnv27CE6OtpszQcPHkxmZiZnz57l6aef5u+//6ZGjRoMHjyY1atXm5VyuBtSU1Np3Lix2WejadOm5OTk8Ouvv17zOS49y+UlMi6XkpJCvXr1jGRwUaxatYqmTZvi4uKCvb09r732mtlapqSk0KpVqyI/k5ubm1lyt3Hjxjft9/fffxulSK7UpEkT7O3tKVOmDHv27GHVqlVmSdrevXuTkpJiHGPHjjXrf6Mdv5ebPHkyf/zxBwsXLsTHx4eFCxdSp04d9u3bZ9bOxsbmqi+ku9zYsWPJysoyjqNHjxZpfhEREREREZH7STuERYpJTk4OFhYW7Nq1CwsLC7N7l+92tbGxua0vjitRosRVCbEr68MWhZ2d3S33uZlLf/5/K86cOUNISAghISEsX74cZ2dnMjIyCAkJuaqMQKlSpYzXl9buUumEnJwcoqKi6Nq161VzWFtb4+bmxsGDB9m8eTObNm1i6NChvPHGG2zZsoVSpUphMpnuyroWxeXPcelZrlcC4lbXdNu2bfTu3ZuoqChCQkJwcnJi5cqVxMbG3vaYt6N8+fKcOnXqmvdWrVqFt7c35cqVM3bFX87Jyemau6Av/aIhNTWVevXqXXX/8p3pl5QrV46nn36ap59+milTplCvXj1mzJjBkiVLjDYnT56kZs2a130WKysrrKysrntfRERERERE5EGgHcIi99CVX+i1fft2PDw8sLCwoF69euTn53Ps2DFq1apldtxJKYhLnJ2dzeoLZ2dn88svvxjnXl5eHD161GwX44EDBzh9+jTe3t7XHbco/by8vEhKSjLrl5SUZNz38/Pj119/Nf60/0qWlpbk5+ebXfvxxx85ceIEMTExNGvWjDp16lx3t+yN1K9fn4MHD1615rVq1TJKNdjY2NCpUyfmzJlDYmIi27ZtM3aLXrmuhw8fvuGu0Wvx8vJi27ZtZonlpKQkHBwcqFKlyi0/E1xc05SUFE6ePFmk9lu3bqVatWqMGzeOwMBAPDw8riqH4OfnR0JCQpHGu/S5uHxttm/fftN+9erV48CBA9e85+bmRs2aNa+ZDL6RgIAA6tSpw8yZM69KoO/Zs4fNmzfTs2fP6/a3tLSkZs2anDlzxuz6/v37r5lgFhEREREREfkn0Q5hkXsoIyODESNG8Pzzz/P9998zd+5cYwemp6cnvXv3pm/fvsTGxlKvXj2OHz9OQkICfn5+dOjQ4Y7mbtmyJfHx8XTq1InSpUszYcIEs53IrVu3xtfXl969ezNr1iwuXLjA0KFDadGiBYGBgdcdtyj9IiIi6N69O/Xq1aN169Z8/vnnfPLJJ2zevBmAFi1a0Lx5c5566inefPNNatWqxY8//ojJZKJt27a4u7uTk5NDQkIC/v7+2NraUrVqVSwtLZk7dy5Dhgxh//79TJo06ZbXZcKECXTs2JGqVavSrVs3SpQowZ49e9i/fz+vv/468fHx5Ofn88gjj2Bra8t7772HjY0N1apVM9Z13rx5NG7cmPz8fEaPHn3VTt6bGTp0KLNmzeKll14iLCyMgwcPMnHixGt+CVpR9ezZkylTptC5c2emTp2Kq6sru3fvplKlStcs3eDh4UFGRgYrV64kKCiIdevWsXr1arM2EydOpFWrVtSsWZMePXpw4cIF1q9ff80vi2vdujWenp7069ePN954g+zsbMaNG3fTuENCQhg7diynTp2iTJkyt/XsVzKZTCxevJg2bdrw1FNPMXbsWFxcXNixYwcjR46kcePGDB8+HIC1a9eycuVKevTogaenJ4WFhXz++eesX7/e+PJGgPT0dH777Tdat259V2IUESku6TF39v8vREREROSfTzuERe6hvn378vfff9OwYUNefPFFXn75ZZ577jnjflxcHH379mXkyJHUrl2bzp07k5ycTNWqVe947rFjx9KiRQs6duxIhw4d6Ny5s9mfu5tMJj799FPKlClD8+bNad26NTVq1GDVqlU3HLco/Tp37szs2bOZMWMGPj4+LFq0iLi4OIKDg402H3/8MUFBQfTs2RNvb29GjRpl7Apu0qQJQ4YM4ZlnnsHZ2Znp06fj7OxMfHw8H374Id7e3sTExDBjxoxbXpeQkBDWrl3Ll19+SVBQEI0aNWLmzJlGwrd06dK8/fbbNG3aFD8/PzZv3sznn39OuXLlAIiNjcXNzY1mzZrRq1cvwsPDsbW1vaUYKleuzPr169m5cyf+/v4MGTKEgQMHmn3J262ytLTkyy+/pEKFCrRv3x5fX19iYmKuKkdyyRNPPMErr7xCWFgYAQEBbN26lfHjx5u1CQ4O5sMPP+Szzz4jICCAli1bsnPnzmuOV6JECVavXm183gcNGsTkyZNvGrevry/169fngw8+uPWHvoEmTZqwfft2LCwsaNeuHbVq1WLs2LH069ePTZs2GaUdvL29sbW1ZeTIkQQEBNCoUSM++OAD3nnnHfr06WOM9/777/P4448bnxMRERERERGRfypTYVG/dUdEbklwcDABAQHMmjWruEMReaCtW7eOiIgI9u/ff9s7pO+l8+fP4+HhwYoVK676ssQbyc7OxsnJiaysLBwdHe9hhCIiIiIiIiJF/zlUJSNERKRYdejQgcOHD/Pbb7/h5uZW3OFcJSMjg1dfffWWksEiIiIiIiIiDyolhEVEpNhdqun7ILr0pYMiIiIiIiIi/wYP3t/mivxLJCYmqlyEPNSCg4PvaaI3NDSUzp07G+eFhYU899xzlC1bFpPJREpKyj2bW0REREREROSfSglhERH5V9iwYQPx8fGsXbuWzMxM6tate9M+6enpSh6LiIiIiIjIQ0UlI0REHjL5+fmYTKYH8gvc7kRaWhqurq40adKkuEMREXlguY9ZV9whyC1Ij+lQ3CGIiIjIv9C/KxsgIvIPFxwcTFhYGGFhYTg5OVG+fHnGjx9PYWHhDfudPn2a559/nooVK2JtbU3dunVZu3YtAPHx8ZQuXZrPPvsMb29vrKysyMjIIDc3l/DwcCpXroydnR2PPPIIiYmJxphHjhyhU6dOlClTBjs7O3x8fFi/fr1xf8uWLTRs2BArKytcXV0ZM2YMFy5cKPKz7tmzh8ceewwHBwccHR1p0KAB3333HQCRkZEEBASYtZ81axbu7u7XHCs0NJSXXnqJjIwMTCaT0W7Dhg08+uijlC5dmnLlytGxY0fS0tKMftWrVwegXr16mEwmgoODjXvvvPMOXl5eWFtbU6dOHebPn1/kZxMRERERERF5UGmHsIjIA2bJkiUMHDiQnTt38t133/Hcc89RtWpVBg8efM32BQUFtGvXjr/++ov33nuPmjVrcuDAASwsLIw2Z8+eZdq0abzzzjuUK1eOChUqEBYWxoEDB1i5ciWVKlVi9erVtG3bln379uHh4cGLL77I+fPn+frrr7Gzs+PAgQPY29sD8Ntvv9G+fXtCQ0NZunQpP/74I4MHD8ba2prIyMgiPWfv3r2pV68eCxYswMLCgpSUFEqVKnVbazZ79mxq1qzJf/7zH5KTk41nP3PmDCNGjMDPz4+cnBwmTJhAly5dSElJoUSJEuzcuZOGDRuyefNmfHx8sLS0BGD58uVMmDCBefPmUa9ePXbv3s3gwYOxs7OjX79+14whNzeX3Nxc4zw7O/u2nkVERERERETkXlJCWETkAePm5sbMmTMxmUzUrl2bffv2MXPmzOsmhDdv3szOnTtJTU3F09MTgBo1api1ycvLY/78+fj7+wOQkZFBXFwcGRkZVKpUCYDw8HA2bNhAXFwcU6ZMISMjg6eeegpfX9+rxpw/fz5ubm7MmzcPk8lEnTp1+P333xk9ejQTJkwoUjmKjIwMIiIiqFOnDgAeHh63uFL/x8nJCQcHBywsLHBxcTGuP/XUU2bt3n33XZydnTlw4AB169bF2dkZgHLlypn1mzhxIrGxsXTt2hW4uJP4wIEDLFq06LoJ4alTpxIVFXXbzyAiIiIiIiJyP6hkhIjIA6ZRo0aYTCbjvHHjxhw+fJj8/HymTJmCvb29cWRkZJCSkkKVKlWMZPC1WFpa4ufnZ5zv27eP/Px8PD09zcbbsmWLUVJh2LBhvP766zRt2pSJEyeyd+9eo39qaiqNGzc2i7Np06bk5OTw/9i786iq6vb//88jyGEGBxRUFAdAnEUxcR5vcMp5ylScytvMHHC6SwVNIdPUssHMwMrUskI/TqWmpmROBU6EQxKWGOYAooUI/P7w5/52EhQNxer1WOusdfZ7vPamZYvLt9f+6aefCnSf48ePZ/jw4bRr147IyEiLUg6F5cSJE/Tv358qVarg7OxslJJITk7Od87Vq1c5deoUw4YNs3g2L7744h1jnDp1KmlpacbnzJkzhX07IiIiIiIiIn+ZTgiLiPyNjBw5kj59+hjX5cqVw87O7q7z7OzsLJK3GRkZWFlZcfDgQYvSEoBRFmL48OEEBQWxYcMGvvjiCyIiIpg/fz7PPvtsodxLWFgYTzzxBBs2bGDTpk3MmDGDVatW0b17d4oVK3Zb3eSsrKx73qNLly5UqlSJpUuXUq5cOXJycqhVqxbXr1/Pd05GRgYAS5cu5bHHHrPo+/Oz+iOz2YzZbL7nGEVEREREREQeJiWERUQeMXv37rW4/uabb/D29sbKyoqSJUtSsmRJi/46derw008/cfz48TueEv6j+vXrk52dTWpqKs2bN893nKenJyNHjmTkyJFMnTqVpUuX8uyzz+Ln58cnn3xCbm6ukWiOjY3FycmJChUqFPhefXx88PHxYdy4cfTv35+oqCi6d++Om5sb586ds1g/Li6uwOsCXLhwgcTERJYuXWrc4+7duy3G3KoZnJ2dbbSVLVuWcuXK8cMPPzBgwIB72lNERERERETkUaeEsIjIIyY5OZnx48fz9NNP8+233/Laa68xf/78fMe3bNmSFi1a0LNnT1555RWqVavG999/j8lkIjg4OM85Pj4+DBgwgEGDBjF//nzq16/P+fPn2bZtG3Xq1KFTp06MHTuWDh064OPjw6VLl9i+fTt+fn4AjBo1ioULF/Lss88yevRoEhMTmTFjBuPHjy9Q/eDffvuNiRMn0qtXLypXrsxPP/3E/v37jZq/rVq14vz588ydO5devXqxefNmNm3ahLOzc4GfY4kSJShVqhRvv/02Hh4eJCcnM2XKFIsxZcqUwc7Ojs2bN1OhQgVsbW1xcXEhPDycMWPG4OLiQnBwMJmZmRw4cIBLly4xfvz4AscgIvKoSYrsVNQhiIiIiEgRUw1hEZFHzKBBg/jtt99o1KgRzzzzDM899xxPPfXUHed88sknBAQE0L9/f2rUqMGkSZMsTr3mJSoqikGDBjFhwgR8fX3p1q0b+/fvp2LFisDNU7PPPPMMfn5+BAcH4+PjwxtvvAFA+fLl2bhxI/v27aNu3bqMHDmSYcOG8cILLxToHq2srLhw4QKDBg3Cx8eHPn360KFDB+OlbH5+frzxxhu8/vrr1K1bl3379hEaGlqgtW8pVqwYq1at4uDBg9SqVYtx48bx8ssvW4yxtrbm1VdfZcmSJZQrV46uXbsCN8tlvPPOO0RFRVG7dm1atmxJdHQ0lStXvqcYRERERERERB41ptw/F2kUEZEi06pVK+rVq8fChQuLOhT5i9LT03FxcSEtLe2eTjaLiIiIiIiI3I+C/h6qE8IiIiIiIiIiIiIi/xJKCIuIiIiIiIiIiIj8SyghLCLyCNmxY8dfKhfRqlUrxo4da1xfu3aNnj174uzsjMlk4vLly385xr8jk8lETExMUYchIiIiIiIiUuSUEBYReQDOnDnD0KFDKVeuHDY2NlSqVInnnnuOCxcuPNQ4li9fzq5du/j6669JSUnBxcXlvtZJSkrCZDIRFxdX4DleXl6PTC3klJQUOnToUNRhiIiIiIiIiBQ566IOQETkn+aHH34gMDAQHx8fVq5cSeXKlTl69CgTJ05k06ZNfPPNN5QsWfKhxHLq1Cn8/PyoVavWQ9nvQcjKyqJ48eJ/aQ13d/dCikZE5O/Na8qGog5B/kWSIjsVdQgiIiKSB50QFhEpZM888ww2NjZ88cUXtGzZkooVK9KhQwe2bt3Kzz//zPPPP5/v3B07dtCoUSMcHBxwdXWladOm/PjjjwCEhITQrVs3i/Fjx46lVatWea7VqlUr5s+fz1dffYXJZDLGXbp0iUGDBlGiRAns7e3p0KEDJ06cKIxbt9j7xx9/ZNy4cZhMJkwmE1evXsXZ2Zk1a9ZYjI2JicHBwYErV64YJ5FXr15Ny5YtsbW1ZcWKFeTk5DBz5kwqVKiA2WymXr16bN682Vjj+vXrjB49Gg8PD2xtbalUqRIRERFG/x9LRtza49NPP6V169bY29tTt25d9uzZYxHX7t27ad68OXZ2dnh6ejJmzBiuXr1aqM9JRERERERE5GFTQlhEpBBdvHiRzz//nFGjRmFnZ2fR5+7uzoABA1i9ejW5ubm3zb1x4wbdunWjZcuWHDp0iD179vDUU09hMpnuK5ZPP/2UESNGEBgYSEpKCp9++ilwM7F84MAB1q1bx549e8jNzaVjx45kZWXd1z757V2hQgVmzpxJSkoKKSkpODg40K9fP6KioizGRkVF0atXL5ycnIy2KVOm8Nxzz5GQkEBQUBCLFi1i/vz5zJs3j0OHDhEUFMTjjz9uJLJfffVV1q1bx0cffURiYiIrVqzAy8vrjjE+//zzhIaGEhcXh4+PD/379+fGjRvAzZPVwcHB9OzZk0OHDrF69Wp2797N6NGj810vMzOT9PR0i4+IiIiIiIjIo0YlI0RECtGJEyfIzc3Fz88vz34/Pz8uXbrE+fPnKVOmjEVfeno6aWlpdO7cmapVqxrj71fJkiWxt7fHxsbGKJlw4sQJ1q1bR2xsLE2aNAFgxYoVeHp6EhMTQ+/eve97vz/vbWVlhZOTk0W5huHDh9OkSRNSUlLw8PAgNTWVjRs3snXrVov5Y8eOpUePHsb1vHnzmDx5Mv369QPgpZdeYvv27SxcuJDXX3+d5ORkvL29adasGSaTiUqVKt01xtDQUDp1uvlPWcPDw6lZsyYnT56kevXqREREMGDAAOMFfd7e3rz66qu0bNmSN998E1tb29vWi4iIIDw8/J6flYiIiIiIiMjDpBPCIiIPQF4ngP/o999/x9HR0fjMmTOHkiVLEhISQlBQEF26dGHRokWkpKQUalwJCQlYW1vz2GOPGW2lSpXC19eXhIQEADp06GDEVbNmzbuuuWLFCot72bVrV75jGzVqRM2aNVm+fDkAH3zwAZUqVaJFixYW4xo2bGh8T09P5+zZszRt2tRiTNOmTY2YQ0JCiIuLw9fXlzFjxvDFF1/cNe46deoY3z08PABITU0FID4+nujoaIv7CgoKIicnh9OnT+e53tSpU0lLSzM+Z86cuWsMIiIiIiIiIg+bTgiLiBSiatWqYTKZSEhIoHv37rf1JyQkUKJECTw8PIiLizPab71kLioqijFjxrB582ZWr17NCy+8wJYtW2jcuDHFihW7LdFcmGUebnnnnXf47bffAAr0MrfHH3/cIsFcvnz5O44fPnw4r7/+OlOmTCEqKoohQ4bcVhbDwcHhnmL29/fn9OnTbNq0ia1bt9KnTx/atWt3W73iP/rjvd3aPycnB4CMjAyefvppxowZc9u8ihUr5rme2WzGbDbfU9wiIiIiIiIiD5sSwiIihahUqVK0b9+eN954g3HjxlnUET537hwrVqxg0KBBFC9enGrVquW5Rv369alfvz5Tp04lMDCQDz/8kMaNG+Pm5saRI0csxsbFxRUoaXuLn58fN27cYO/evUbJiAsXLpCYmEiNGjWAuyd0/8zJycmi/u8tNjY2ZGdn39b+5JNPMmnSJF599VWOHTvG4MGD77i+s7Mz5cqVIzY2lpYtWxrtsbGxNGrUyGJc37596du3L7169SI4OJiLFy8ayfZ74e/vz7Fjx/L9GYmIiIiIiIj8XSkhLCJSyBYvXkyTJk0ICgrixRdfpHLlyhw9epSJEydSvnx5Zs+enee806dP8/bbb/P4449Trlw5EhMTOXHiBIMGDQKgTZs2vPzyy7z33nsEBgbywQcfcOTIEerXr1/g2Ly9venatSsjRoxgyZIlODk5MWXKFMqXL0/Xrl3vOj8xMfG2tpo1a+aZlPby8uKrr76iX79+mM1mSpcuDUCJEiXo0aMHEydO5D//+Q8VKlS4674TJ05kxowZVK1alXr16hEVFUVcXBwrVqwA4JVXXsHDw4P69etTrFgxPv74Y9zd3XF1db3r2nmZPHkyjRs3ZvTo0QwfPhwHBweOHTvGli1bWLx48X2tKSLyKEiK7FTUIYiIiIhIEVNCWESkkHl7e3PgwAFmzJhBnz59uHjxIu7u7nTr1o0ZM2bke2LV3t6e77//nuXLl3PhwgU8PDx45plnePrppwEICgpi2rRpTJo0id9//52hQ4cyaNAgDh8+fE/xRUVF8dxzz9G5c2euX79OixYt2LhxY4FOGt96qdsfnTlzJs+k7syZM3n66aepWrUqmZmZFuUuhg0bxocffsjQoUMLFPOYMWNIS0tjwoQJpKamUqNGDdatW4e3tzdw85Ty3LlzOXHiBFZWVgQEBLBx40aKFbu/Uvl16tRh586dPP/88zRv3pzc3FyqVq1K375972s9ERERERERkUeFKfdubz4SEREpZO+//z7jxo3j7Nmz2NjYFHU4D0R6ejouLi6kpaXh7Oxc1OGIiIiIiIjIP1xBfw/VCWEREXlorl27RkpKCpGRkTz99NP/2GSwiIiIiIiIyKPq/v4trYjIv1BSUhImk4m4uLgiXeNhiI6Ovu/6u7fkda9z586levXquLu7M3Xq1L8WJGAymYiJiTGuv//+exo3boytrS316tX7y+uLiIiIiIiI/NMoISwiRe7MmTMMHTqUcuXKYWNjQ6VKlXjuuee4cOFCkcUUEhJCt27dimz/e/HnpOijLCwsjKysLLZt24ajo2Ohrz9jxgwcHBxITExk27ZtBY5JyWMRERERERH5t1DJCBEpUj/88AOBgYH4+PiwcuVKKleuzNGjR5k4cSKbNm3im2++yfclbCJ/durUKTp16kSlSpWKOhQRkUeS15QNRR1CkUiK7FTUIYiIiIg8MnRCWESK1DPPPIONjQ1ffPEFLVu2pGLFinTo0IGtW7fy888/8/zzz99x/q2TvHPmzKFs2bK4uroyc+ZMbty4wcSJEylZsiQVKlQgKirKYt6ZM2fo06cPrq6ulCxZkq5du5KUlATcPDG6fPly1q5di8lkwmQysWPHDmPuDz/8QOvWrbG3t6du3brs2bMHgKtXr+Ls7MyaNWss9oqJicHBwYErV67keQ9Hjx6lc+fOODs74+TkRPPmzTl16hQA+/fvp3379pQuXRoXFxdatmzJt99+a8z18vICoHv37phMJuMaYO3atfj7+2Nra0uVKlUIDw/nxo0bRv/ly5d5+umnKVu2LLa2ttSqVYv169dbxPb555/j5+eHo6MjwcHBpKSkGH05OTnMnDmTChUqYDabqVevHps3b77DT+t2b7zxBt7e3tja2lK2bFl69eplcW8LFy60GF+vXj3CwsLyXMtkMnHw4EFmzpyJyWQyxk2ePBkfHx/s7e2pUqUK06ZNIysrC7hZGiM8PJz4+HjjZx0dHW08n+HDh+Pm5oazszNt2rQhPj7+nu5PRERERERE5FGjhLCIFJmLFy/y+eefM2rUKOzs7Cz63N3dGTBgAKtXryY3N/eO63z55ZecPXuWr776ildeeYUZM2bQuXNnSpQowd69exk5ciRPP/00P/30EwBZWVkEBQXh5OTErl27iI2NNRKe169fJzQ0lD59+hgJ0JSUFJo0aWLs9/zzzxMaGkpcXBw+Pj7079+fGzdu4ODgQL9+/W5LPkdFRdGrVy+cnJxui/3nn3+mRYsWmM1mvvzySw4ePMjQoUONxO2VK1cYPHgwu3fv5ptvvsHb25uOHTsayeX9+/cbe6SkpBjXu3btYtCgQTz33HMcO3aMJUuWEB0dzezZs4GbydwOHToQGxvLBx98wLFjx4iMjMTKysqI7dq1a8ybN4/333+fr776iuTkZEJDQ43+RYsWMX/+fObNm8ehQ4cICgri8ccf58SJE3f8ed1y4MABxowZw8yZM0lMTGTz5s20aNGiQHPzkpKSQs2aNZkwYQIpKSlGrE5OTkRHR3Ps2DEWLVrE0qVLWbBgAQB9+/ZlwoQJ1KxZ0/hZ9+3bF4DevXuTmprKpk2bOHjwIP7+/rRt25aLFy/ed4wiIiIiIiIiRU0lI0SkyJw4cYLc3Fz8/Pzy7Pfz8+PSpUucP3+eMmXK5LtOyZIlefXVVylWrBi+vr7MnTuXa9eu8b///Q+AqVOnEhkZye7du+nXrx+rV68mJyeHd955B5PJBNxMqLq6urJjxw7+85//YGdnR2ZmJu7u7rftFxoaSqdON//paXh4ODVr1uTkyZNUr16d4cOH06RJE1JSUvDw8CA1NZWNGzeydevWPGN//fXXcXFxYdWqVRQvXhwAHx8fo79NmzYW499++21cXV3ZuXMnnTt3xs3NDQBXV1eLWMPDw5kyZQqDBw8GoEqVKsyaNYtJkyYxY8YMtm7dyr59+0hISDD2q1KlisVeWVlZvPXWW1StWhWA0aNHM3PmTKN/3rx5TJ48mX79+gHw0ksvsX37dhYuXMjrr7+e78/rluTkZBwcHOjcuTNOTk5UqlSJ+vXr33Veftzd3bG2tsbR0dHiWbzwwgvGdy8vL0JDQ1m1ahWTJk3Czs4OR0dHrK2tLebs3r2bffv2kZqaitlsNu43JiaGNWvW8NRTT922f2ZmJpmZmcZ1enr6fd+LiIiIiIiIyIOiE8IiUuTudgIYbiYPHR0djc+cOXOMvpo1a1Ks2P/746xs2bLUrl3buLaysqJUqVKkpqYCEB8fz8mTJ3FycjLWK1myJL///rtRquFO6tSpY3z38PAAMNZu1KgRNWvWZPny5QB88MEHVKpUKd+Tr3FxcTRv3txIBv/ZL7/8wogRI/D29sbFxQVnZ2cyMjJITk6+Y4zx8fHMnDnT4pmNGDGClJQUrl27RlxcHBUqVLBIPv+Zvb29kQy+da+37jM9PZ2zZ8/StGlTizlNmzYlISHhjrHd0r59eypVqkSVKlUYOHAgK1as4Nq1awWaey9Wr15N06ZNcXd3x9HRkRdeeKFAzy8jI4NSpUpZPMPTp0/n+99IREQELi4uxsfT07PQ70VERERERETkr9IJYREpMtWqVcNkMpGQkED37t1v609ISKBEiRK4ubmRnZ1NXFyc0ffHF839OZlqMpnybMvJyQEgIyODBg0asGLFitv2vHXi9k7+uPatE8a31gYYPnw4r7/+OlOmTCEqKoohQ4YY4/7sz6Uy/mzw4MFcuHCBRYsWUalSJcxmM4GBgVy/fv2O8zIyMggPD6dHjx639dna2t51X8j7uRYkeV9QTk5OfPvtt+zYsYMvvviC6dOnExYWxv79+3F1daVYsWK37Xer9m9B7dmzhwEDBhAeHk5QUJBxGnv+/Pl3nJeRkYGHh4dF7ehbXF1d85wzdepUxo8fb1ynp6crKSwiIiIiIiKPHCWERaTIlCpVivbt2/PGG28wbtw4iyTluXPnWLFiBYMGDcJkMmFtbU21atUKZV9/f39Wr15NmTJlcHZ2znOMjY0N2dnZ97X+k08+yaRJk3j11Vc5duyYUbYhL3Xq1GH58uVkZWXleUo4NjaWN954g44dOwI3X4b366+/WowpXrz4bbH6+/uTmJiY7zOrU6cOP/30E8ePH7/jKeH8ODs7U65cOWJjY2nZsqVFvI0aNSrwOtbW1rRr14527doxY8YMXF1d+fLLL+nRowdubm4WL7FLT0/n9OnT9xTn119/TaVKlSxeTvjjjz9ajMnrZ+3v78+5c+ewtra2eFHfnZjNZqO8hIiIiIiIiMijSglhESlSixcvpkmTJgQFBfHiiy9SuXJljh49ysSJEylfvrzxErTCNGDAAF5++WW6du3KzJkzqVChAj/++COffvopkyZNokKFCnh5efH555+TmJhIqVKlcHFxKfD6JUqUoEePHkycOJH//Oc/VKhQId+xo0eP5rXXXqNfv35MnToVFxcXvvnmGxo1aoSvry/e3t68//77NGzYkPT0dCZOnHjb6V4vLy+2bdtG06ZNMZvNlChRgunTp9O5c2cqVqxIr169KFasGPHx8Rw5coQXX3yRli1b0qJFC3r27Mkrr7xCtWrV+P777zGZTAQHBxfoPidOnMiMGTOoWrUq9erVIyoqiri4uDxPXudl/fr1/PDDD7Ro0YISJUqwceNGcnJy8PX1BW7WT46OjqZLly64uroyffp0i5feFYS3tzfJycmsWrWKgIAANmzYwGeffXbb8zt9+rRRRsPJyYl27doRGBhIt27dmDt3Lj4+Ppw9e5YNGzbQvXt3GjZseE9xiIg8KpIiOxV1CCIiIiJSxFRDWESKlLe3NwcOHKBKlSr06dOHqlWr8tRTT9G6dWv27NljURqisNjb2/PVV19RsWJFevTogZ+fH8OGDeP33383TgyPGDECX19fGjZsiJubG7Gxsfe0x7Bhw7h+/TpDhw6947hSpUrx5ZdfkpGRQcuWLWnQoAFLly41TgsvW7aMS5cu4e/vz8CBAxkzZsxtL9ibP38+W7ZswdPT03gpW1BQEOvXr+eLL74gICCAxo0bs2DBAipVqmTM++STTwgICKB///7UqFGDSZMm3dOp6DFjxjB+/HgmTJhA7dq12bx5M+vWrcPb27tA811dXfn0009p06YNfn5+vPXWW6xcuZKaNWsCN0swtGzZks6dO9OpUye6detmUdO4IB5//HHGjRvH6NGjqVevHl9//TXTpk2zGNOzZ0+Cg4Np3bo1bm5urFy5EpPJxMaNG2nRogVDhgzBx8eHfv368eOPP1K2bNl7ikFERERERETkUWLKLcyCkCIiAsD777/PuHHjOHv2LDY2NkUdjhSB9PR0XFxcSEtLy7c0iYiIiIiIiEhhKejvoSoZISJSiK5du0ZKSgqRkZE8/fTTSgaLiIjfaP6QAAEAAElEQVSIiIiIyCNFJSNERArR3LlzqV69Ou7u7kydOrWowxERERERERERsaCEsIhIIQoLCyMrK4tt27bh6Oj4UPY0mUzExMQ81DV27NiByWTi8uXLf2nfwubl5cXChQuLOgwRERERERGRR5YSwiIi+QgJCcFkMhEZGWnRHhMTg8lkeujxhIWFUa9evYe+b16aNGlCSkoKLi4uRR3KXxIdHY2rq2tRhyEiIiIiIiLy0KiGsIjIHdja2vLSSy/x9NNPU6JEiaIO55FhY2ODu7t7UYchIiL3yGvKhqIOQf4BkiI7FXUIIiIi8hfohLCIyB20a9cOd3d3IiIiCjzn1kned999l4oVK+Lo6MioUaPIzs5m7ty5uLu7U6ZMGWbPnm0x7/LlywwfPhw3NzecnZ1p06YN8fHxwM2TrOHh4cTHx2MymTCZTERHRxtzf/31V7p37469vT3e3t6sW7cOgNzcXKpVq8a8efMs9oqLi8NkMnHy5Mnb4k9KSsJkMrFq1SqaNGmCra0ttWrVYufOncaYP5eMuHXSNiYmBm9vb2xtbQkKCuLMmTMWa69duxZ/f39sbW2pUqUK4eHh3Lhxw+IZPP3005QtW9bYd/369Ub/J598Qs2aNTGbzXh5eTF//vw7/ixeeeUVateujYODA56enowaNYqMjAzjHoYMGUJaWprxTMPCwgDIzMwkNDSU8uXL4+DgwGOPPcaOHTvuuJeIiIiIiIjI34ESwiIid2BlZcWcOXN47bXX+Omnnwo879SpU2zatInNmzezcuVKli1bRqdOnfjpp5/YuXMnL730Ei+88AJ79+415vTu3ZvU1FQ2bdrEwYMH8ff3p23btly8eJG+ffsyYcIEatasSUpKCikpKfTt29eYGx4eTp8+fTh06BAdO3ZkwIABXLx4EZPJxNChQ4mKirKILyoqihYtWlCtWrV872HixIlMmDCB7777jsDAQLp06cKFCxfyHX/t2jVmz57Ne++9R2xsLJcvX6Zfv35G/65duxg0aBDPPfccx44dY8mSJURHRxuJ8ZycHDp06EBsbCwffPABx44dIzIyEisrKwAOHjxInz596NevH4cPHyYsLIxp06ZZJMb/rFixYrz66qscPXqU5cuX8+WXXzJp0iTgZtmLhQsX4uzsbDzT0NBQAEaPHs2ePXtYtWoVhw4donfv3gQHB3PixIl89xIRERERERH5O1BCWETkLrp37069evWYMWNGgefk5OTw7rvvUqNGDbp06ULr1q1JTExk4cKF+Pr6MmTIEHx9fdm+fTsAu3fvZt++fXz88cc0bNgQb29v5s2bh6urK2vWrMHOzg5HR0esra1xd3fH3d0dOzs7Y7+QkBD69+9PtWrVmDNnDhkZGezbt8/oS0xMNK6zsrL48MMPGTp06B3vYfTo0fTs2RM/Pz/efPNNXFxcWLZsWb7js7KyWLx4MYGBgTRo0IDly5fz9ddfG/uGh4czZcoUBg8eTJUqVWjfvj2zZs1iyZIlAGzdupV9+/bx6aef0r59e6pUqULnzp3p0KEDcPO0b9u2bZk2bRo+Pj6EhIQwevRoXn755XxjGjt2LK1bt8bLy4s2bdrw4osv8tFHHwE3y164uLhgMpmMZ+ro6EhycjJRUVF8/PHHNG/enKpVqxIaGkqzZs1uS6z/UWZmJunp6RYfERERERERkUeNEsIiIgXw0ksvsXz5chISEizaHR0djc/IkSONdi8vL5ycnIzrsmXLUqNGDYoVK2bRlpqaCkB8fDwZGRmUKlXKYs3Tp09z6tSpu8ZXp04d47uDgwPOzs7G2uXKlaNTp068++67APzf//0fmZmZ9O7d+45rBgYGGt+tra1p2LDhbff/R9bW1gQEBBjX1atXx9XV1ZgTHx/PzJkzLe5vxIgRpKSkcO3aNeLi4qhQoQI+Pj55rp+QkEDTpk0t2po2bcqJEyfIzs7Oc87WrVtp27Yt5cuXx8nJiYEDB3LhwgWuXbuW730cPnyY7OxsfHx8LGLduXPnHX8WERERuLi4GB9PT898x4qIiIiIiIgUFb1UTkSkAFq0aEFQUBBTp04lJCTEaI+LizO+Ozs7G9+LFy9uMd9kMuXZlpOTA0BGRgYeHh551ql1dXW9a3x3Whtg+PDhDBw4kAULFhAVFUXfvn2xt7e/67qFKSMjg/DwcHr06HFbn62trcWJ58KQlJRE586d+e9//8vs2bMpWbIku3fvZtiwYVy/fj3f+8/IyMDKyoqDBw8a5SpucXR0zHe/qVOnMn78eOM6PT1dSWERERERERF55CghLCJSQJGRkdSrVw9fX1+j7U41eO+Fv78/586dw9raGi8vrzzH2NjY5HsS9m46duyIg4MDb775Jps3b+arr76665xvvvmGFi1aAHDjxg0OHjzI6NGj8x1/48YNDhw4QKNGjQBITEzk8uXL+Pn5ATfvMTExMd9nVqdOHX766SeOHz+e5ylhPz8/YmNjLdpiY2Px8fG5LXELN2sO5+TkMH/+fONk9q1yEbfk9Uzr169PdnY2qampNG/ePN/7/TOz2YzZbC7weBEREREREZGioISwiEgB1a5dmwEDBvDqq68W+trt2rUjMDCQbt26MXfuXHx8fDh79iwbNmyge/fuNGzYEC8vL06fPm2UVnBycipwAtLKyoqQkBCmTp2Kt7e3RTmI/Lz++ut4e3vj5+fHggULuHTp0h3rDhcvXpxnn32WV199FWtra0aPHk3jxo2NBPH06dPp3LkzFStWpFevXhQrVoz4+HiOHDnCiy++SMuWLWnRogU9e/bklVdeoVq1anz//feYTCaCg4OZMGECAQEBzJo1i759+7Jnzx4WL17MG2+8kWc81apVIysri9dee40uXboQGxvLW2+9ZTHGy8uLjIwMtm3bRt26dbG3t8fHx4cBAwYwaNAg5s+fT/369Tl//jzbtm2jTp06dOrUqUDPXETkUZQUqT/DRERERP7tVENYROQezJw506IUQ2ExmUxs3LiRFi1aMGTIEHx8fOjXrx8//vgjZcuWBaBnz54EBwfTunVr3NzcWLly5T3tcatUwpAhQwo0PjIyksjISOrWrcvu3btZt24dpUuXzne8vb09kydP5oknnqBp06Y4OjqyevVqoz8oKIj169fzxRdfEBAQQOPGjVmwYAGVKlUyxnzyyScEBATQv39/atSowaRJk4wTvP7+/nz00UesWrWKWrVqMX36dGbOnGlRwuOP6tatyyuvvMJLL71ErVq1WLFiBRERERZjmjRpwsiRI+nbty9ubm7MnTsXgKioKAYNGsSECRPw9fWlW7du7N+/n4oVKxbo2YmIiIiIiIg8qky5ubm5RR2EiIg8eLt27aJt27acOXPGSDLnJSkpicqVK/Pdd99Rr169Aq0dHR3N2LFjuXz5cuEE+w+Qnp6Oi4sLaWlpFvWlRURERERERB6Egv4eqpIRIiL/cJmZmZw/f56wsDB69+59x2SwiIiIiIiIiPyzqWSEiMg/3MqVK6lUqRKXL182SiKIiIiIiIiIyL+TEsIiIv9wISEhZGdnc/DgQcqXL39bf6tWrRg7dqxx7eXlRW5uboHLRdza427lIkwmEzExMfn279ixA5PJVKhlJ5KSkjCZTMTFxRXamiIiIiIiIiJ/Z0oIi4hIoQoLC7unZPItTZo0ISUlBRcXl0KLxdPTk5SUFGrVqlVoa4qIiIiIiIj8namGsIiIPBJsbGxwd3cv1DWtrKwKfU0Rkb8zrykbijoE+ZtIiuxU1CGIiIjIA6ITwiIiYnj//fdp2LAhTk5OuLu788QTT5Cammr03yrrsG3bNho2bIi9vT1NmjQhMTERgOjoaMLDw4mPj8dkMmEymYiOjjbm//rrr3Tv3h17e3u8vb1Zt27dbWv/sWTEJ598Qs2aNTGbzXh5eTF//nyLeL28vJgzZw5Dhw7FycmJihUr8vbbbxv9fy4Zcbf4b1m7di3+/v7Y2tpSpUoVwsPDuXHjxl99vCIiIiIiIiJFTglhERExZGVlMWvWLOLj44mJiSEpKYmQkJDbxj3//PPMnz+fAwcOYG1tzdChQwHo27cvEyZMoGbNmqSkpJCSkkLfvn2NeeHh4fTp04dDhw7RsWNHBgwYwMWLF/OM5eDBg/Tp04d+/fpx+PBhwsLCmDZtmkWCGWD+/Pk0bNiQ7777jlGjRvHf//73tgRvQeMH2LVrF4MGDeK5557j2LFjLFmyhOjoaGbPnl3ApygiIiIiIiLy6FLJCBERMfwxMVqlShVeffVVAgICyMjIwNHR0eibPXs2LVu2BGDKlCl06tSJ33//HTs7OxwdHbG2ts6zVENISAj9+/cHYM6cObz66qvs27eP4ODg28a+8sortG3blmnTpgHg4+PDsWPHePnlly2S1B07dmTUqFEATJ48mQULFrB9+3Z8fX3zvc/84re1tSU8PJwpU6YwePBg4znMmjWLSZMmMWPGjHzXzMzMJDMz07hOT0/Pd6yIiIiIiIhIUdEJYRERMRw8eJAuXbpQsWJFnJycjKRpcnKyxbg6deoY3z08PAAsSkvk54/zHBwccHZ2zndeQkICTZs2tWhr2rQpJ06cIDs7O881TSYT7u7ud43lTvHHx8czc+ZMHB0djc+IESNISUnh2rVr+a4ZERGBi4uL8fH09LxjDCIiIiIiIiJFQSeERUQEgKtXrxIUFERQUBArVqzAzc2N5ORkgoKCuH79usXY4sWLG99NJhMAOTk5d93jj/NuzS3IvMJe807xZ2RkEB4eTo8ePW6bZ2trm++aU6dOZfz48cZ1enq6ksIiIiIiIiLyyFFCWEREAPj++++5cOECkZGRRiLzwIED97yOjY2NxQne++Xn50dsbKxFW2xsLD4+PlhZWf3l9fPj7+9PYmIi1apVu6d5ZrMZs9n8gKISERERERERKRxKCIuICAAVK1bExsaG1157jZEjR3LkyBFmzZp1z+t4eXlx+vRp4uLiqFChAk5OTveVKJ0wYQIBAQHMmjWLvn37smfPHhYvXswbb7xxz2vdi+nTp9O5c2cqVqxIr169KFasGPHx8Rw5coQXX3zxge4tIvKgJUV2KuoQRERERKSIqYawiIgA4ObmRnR0NB9//DE1atQgMjKSefPm3fM6PXv2JDg4mNatW+Pm5sbKlSvvKx5/f38++ugjVq1aRa1atZg+fTozZ860eKHcgxAUFMT69ev54osvCAgIoHHjxixYsIBKlSo90H1FREREREREHgZTbm5ublEHISIi8k+Tnp6Oi4sLaWlpODs7F3U4IiIiIiIi8g9X0N9DdUJYRERERERERERE5F9CCWERERERERERERGRfwklhEVERERERERERET+JZQQFpF/tVatWjF27Ni/tEZ0dDSurq6FEs+d7NixA5PJxOXLlx/qvo+iadOm8dRTTz20/fr168f8+fMf2n4iIiIiIiIiD4peKici/2oXL16kePHiODk53fcav/32G1euXKFMmTKFGNntduzYQevWrbl06RKurq4Pbd8/atWqFfXq1WPhwoX3NC8kJITLly8TExPzl2M4d+4cPj4+HD58mEqVKuW5fkhICMuXLwfA2tqakiVLUqdOHfr3709ISAjFit3+96FBQUFs3bqVb775hoCAAIu+I0eO0KJFC06fPo2Li0uB4tRL5UTkUeQ1ZcMd+5MiOz2kSERERESksOmlciIiBVCyZMm/lAwGsLOze6hJ2aLet6i98847NGnSxEgG5yc4OJiUlBSSkpLYtGkTrVu35rnnnqNz587cuHHDYmxycjJff/01o0eP5t13371trVq1alG1alU++OCDQr0XERERERERkYdNCWER+Vf7c8kILy8vXnzxRQYNGoSjoyOVKlVi3bp1nD9/nq5du+Lo6EidOnU4cOCAMefPpRvCwsKoV68e77//Pl5eXri4uNCvXz+uXLlijMnMzGTMmDGUKVMGW1tbmjVrxv79+y1i27hxIz4+PtjZ2dG6dWuSkpIs+v+876lTp+jatStly5bF0dGRgIAAtm7dajEnMzOTyZMn4+npidlsplq1aixbtszoP3LkCB06dMDR0ZGyZcsycOBAfv31V+DmqdudO3eyaNEiTCYTJpOJpKQksrOzGTZsGJUrV8bOzg5fX18WLVpk8TyWL1/O2rVrjXk7duwA4MyZM/Tp0wdXV1dKlixJ165db7vPP1u1ahVdunS54xgAs9mMu7s75cuXx9/fn//973+sXbuWTZs2ER0dbTE2KiqKzp0789///peVK1fy22+/3bZely5dWLVq1V33FREREREREXmUKSEsIvInCxYsoGnTpnz33Xd06tSJgQMHMmjQIJ588km+/fZbqlatyqBBg7hTxZ1Tp04RExPD+vXrWb9+PTt37iQyMtLonzRpEp988gnLly/n22+/pVq1agQFBXHx4kXgZqK0R48edOnShbi4OIYPH86UKVPuGHdGRgYdO3Zk27ZtfPfddwQHB9OlSxeSk5ONMYMGDWLlypW8+uqrJCQksGTJEhwdHQG4fPkybdq0oX79+hw4cIDNmzfzyy+/0KdPHwAWLVpEYGAgI0aMICUlhZSUFDw9PcnJyaFChQp8/PHHHDt2jOnTp/O///2Pjz76CIDQ0FD69OljnNhNSUmhSZMmZGVlERQUhJOTE7t27SI2NhZHR0eCg4O5fv16nvd48eJFjh07RsOGDQvwk7xdmzZtqFu3Lp9++qnRlpubS1RUFE8++STVq1enWrVqrFmz5ra5jRo1Yt++fWRmZua5dmZmJunp6RYfERERERERkUeNdVEHICLyqOnYsSNPP/00ANOnT+fNN98kICCA3r17AzB58mQCAwP55ZdfcHd3z3ONnJwcoqOjjXIUAwcOZNu2bcyePZurV6/y5ptvEh0dTYcOHQBYunQpW7ZsYdmyZUycOJE333yTqlWrGi8y8/X15fDhw7z00kv5xl23bl3q1q1rXM+aNYvPPvuMdevWMXr0aI4fP85HH33Eli1baNeuHQBVqlQxxi9evJj69eszZ84co+3dd9/F09OT48eP4+Pjg42NDfb29hb3bWVlRXh4uHFduXJl9uzZw0cffUSfPn1wdHTEzs6OzMxMi3kffPABOTk5vPPOO5hMJuDmSV1XV1d27NjBf/7zn9vuMTk5mdzcXMqVK5fvc7ib6tWrc+jQIeN669atXLt2jaCgIACefPJJli1bxsCBAy3mlStXjuvXr3Pu3Lk8y1VERERYPAcRERERERGRR5FOCIuI/EmdOnWM72XLlgWgdu3at7Wlpqbmu4aXl5dFbWIPDw9j/KlTp8jKyqJp06ZGf/HixWnUqBEJCQkAJCQk8Nhjj1msGRgYeMe4MzIyCA0Nxc/PD1dXVxwdHUlISDBOCMfFxWFlZUXLli3znB8fH8/27dtxdHQ0PtWrVzdivpPXX3+dBg0a4ObmhqOjI2+//bbFyeT89jt58iROTk7GfiVLluT333/Pd79bpRxsbW3vuPad5ObmGglouJn07tu3L9bWN/+OtH///sTGxt4Wg52dHQDXrl3Lc92pU6eSlpZmfM6cOXPfMYqIiIiIiIg8KDohLCLyJ8WLFze+30oc5tWWk5NToDVuzbnT+MIQGhrKli1bmDdvHtWqVcPOzo5evXoZ5RduJTTzk5GRQZcuXfI8hezh4ZHvvFWrVhEaGsr8+fMJDAzEycmJl19+mb179951vwYNGrBixYrb+tzc3PKcU7p0aQAuXbqU75i7SUhIoHLlysDNEhSfffYZWVlZvPnmm8aY7Oxs3n33XWbPnm203Srnkd++ZrMZs9l8XzGJiIiIiIiIPCxKCIuIPGRVq1bFxsaG2NhYo/RAVlYW+/fvN15w5+fnx7p16yzmffPNN3dcNzY2lpCQELp37w7cTLj+8QVttWvXJicnh507dxolI/7I39+fTz75BC8vL+O07J/Z2NiQnZ19275NmjRh1KhRRtufT9fmNc/f35/Vq1dTpkwZnJ2d73hvt1StWhVnZ2eOHTuGj49Pgeb80Zdffsnhw4cZN24cACtWrKBChQrExMRYjPviiy+YP38+M2fOxMrKCrj5wr0KFSoYSWkRkb+jpMhORR2CiIiIiBQxlYwQEXnIHBwc+O9//8vEiRPZvHkzx44dY8SIEVy7do1hw4YBMHLkSE6cOMHEiRNJTEzkww8/JDo6+o7rent78+mnnxIXF0d8fDxPPPGExalkLy8vBg8ezNChQ4mJieH06dPs2LHDePnbM888w8WLF+nfvz/79+/n1KlTfP755wwZMsRI5np5ebF3716SkpL49ddfycnJwdvbmwMHDvD5559z/Phxpk2bxv79+y1i8/Ly4tChQyQmJvLrr7+SlZXFgAEDKF26NF27dmXXrl1GPGPGjOGnn37K8x6LFStGu3bt2L17912fc2ZmJufOnePnn3/m22+/Zc6cOXTt2pXOnTszaNAgAJYtW0avXr2oVauWxWfYsGH8+uuvbN682Vhv165dedY1FhEREREREfk7UUJYRKQIREZG0rNnTwYOHIi/vz8nT57k888/p0SJEgBUrFiRTz75hJiYGOrWrctbb71l8bK3vLzyyiuUKFGCJk2a0KVLF4KCgvD397cY8+abb9KrVy9GjRpF9erVGTFiBFevXgVuvjQtNjaW7Oxs/vOf/1C7dm3Gjh2Lq6srxYrd/N9FaGgoVlZW1KhRAzc3N5KTk3n66afp0aMHffv25bHHHuPChQsWp4UBRowYga+vLw0bNsTNzY3Y2Fjs7e356quvqFixIj169MDPz49hw4bx+++/3/HE8PDhw1m1atVdS3Bs3rwZDw8PvLy8CA4OZvv27bz66qusXbsWKysrDh48SHx8PD179rxtrouLC23btmXZsmUA/P7778TExDBixIg77ikiIiIiIiLyqDPl5ubmFnUQIiIiBZWbm8tjjz3GuHHj6N+//0PZ88033+Szzz7jiy++KPCc9PR0XFxcSEtLK3BJDBEREREREZH7VdDfQ3VCWERE/lZMJhNvv/02N27ceGh7Fi9enNdee+2h7SciIiIiIiLyoOiEsIjIfWrVqhX16tVj4cKFRR1KkQsJCeHy5cu3vZztYa1rMpn47LPP6NatW6Hu/1fohLCIiIiIiIg8TDohLCIit4mOjsbV1bWowyh0KSkpdOjQ4YGs3apVqweyroiIiIiIiEhRsC7qAERERO7X9evXsbGxwd3dvVDXXb9+PeXKlbN4Kd+qVavw9/fHx8enUPcSEXmYvKZsuK0tKbJTEUQiIiIiIkVFJ4RFRP6CnJwcJk2aRMmSJXF3dycsLMzoS05OpmvXrjg6OuLs7EyfPn345ZdfjP6wsDDq1avHu+++S8WKFXF0dGTUqFFkZ2czd+5c3N3dKVOmDLNnz7bY827rxsfH07p1a5ycnHB2dqZBgwYcOHCAHTt2MGTIENLS0jCZTJhMJiPe999/n4YNG+Lk5IS7uztPPPEEqampFvsePXqUzp074+zsjJOTE82bN+fUqVMWY+bNm4eHhwelSpXimWeeISsrC4CZM2dSq1at255fvXr1mDZtGgDZ2dmMHz8eV1dXSpUqxaRJk/hzVaNWrVoxevRoxo4dS+nSpQkKCgJuloy4VVYiKSkJk8nEp59+SuvWrbG3t6du3brs2bPHYq3du3fTvHlz7Ozs8PT0ZMyYMVy9ehWAKlWqMHXqVGbMmMHly5fp06cP27dvp3Tp0rf/RyAiIiIiIiLyN6KEsIjIX7B8+XIcHBzYu3cvc+fOZebMmWzZsoWcnBy6du3KxYsX2blzJ1u2bOGHH36gb9++FvNPnTrFpk2b2Lx5MytXrmTZsmV06tSJn376iZ07d/LSSy/xwgsvsHfvXoACrTtgwAAqVKjA/v37OXjwIFOmTKF48eI0adKEhQsX4uzsTEpKCikpKYSGhgKQlZXFrFmziI+PJyYmhqSkJEJCQow1f/75Z1q0aIHZbObLL7/k4MGDDB061OLFbtu3b+fUqVNs376d5cuXEx0dTXR0NABDhw4lISGB/fv3G+O/++47Dh06xJAhQwCYP38+0dHRvPvuu+zevZuLFy/y2Wef5fnMbWxsiI2N5a233sr3Z/P8888TGhpKXFwcPj4+9O/f34j31KlTBAcH07NnTw4dOsTq1avZvXs3o0ePBqBGjRp8/vnnnDhxgvj4eNq1a8eSJUsoWbJkvvtlZmaSnp5u8RERERERERF51OilciIi96lVq1ZkZ2eza9cuo61Ro0a0adOGtm3b0qFDB06fPo2npycAx44do2bNmuzbt4+AgADCwsJ4+eWXOXfuHE5OTgAEBweTmJjIqVOnKFbs5t/ZVa9enZCQEKZMmcKWLVvuuq6zszOvvfYagwcPvi3m6Ohoxo4dy+XLl+94bwcOHCAgIIArV67g6OjI//73P1atWkViYiLFixe/bXxISAg7duzg1KlTWFlZAdCnTx+KFSvGqlWrAOjYsSNeXl688cYbAIwZM4bDhw+zfft2AMqVK8e4ceOYOHEiADdu3KBy5co0aNDAOP3bqlUr0tPT+fbbby32/+NL5ZKSkqhcuTLvvPMOw4YNs3hGCQkJVK9eneHDh2NlZcWSJUuMNXbv3k3Lli25evUqP/74I2PHjiUgIIB169bh4+ND6dKlmT17NiVKlMjzmYWFhREeHn5bu14qJyKPEpWMEBEREfnn0kvlREQegjp16lhce3h4kJqaSkJCAp6enkbSFm6eOnV1dSUhIcFo8/LyMpLBAGXLlqVGjRpGMvhW263yDQVZd/z48QwfPpx27doRGRl5W1mHvBw8eJAuXbpQsWJFnJycaNmyJXCzPAVAXFwczZs3zzMZfEvNmjWNZPAfn8UtI0aMYOXKlfz+++9cv36dDz/8kKFDhwI3k6YpKSk89thjxnhra2saNmx42z4NGjS46/2A5c/Gw8MDwIgnPj6e6OhoHB0djU9QUBA5OTmcPn2a48ePM3v2bGbOnImrqysfffQRzZs35/z58/nuN3XqVNLS0ozPmTNnChSniIiIiIiIyMOkl8qJiPwFf06QmkwmcnJy/tL8v7pmWFgYTzzxBBs2bGDTpk3MmDGDVatW0b179zzHX716laCgIIKCglixYgVubm4kJycTFBTE9evXAbCzs7uve/lj3F26dMFsNvPZZ59hY2NDVlYWvXr1KvB93eLg4FCgcX+Mx2QyARjxZGRk8PTTTzNmzJjb5lWsWBE/P7/b2vv373/H/cxmM2azuUCxiYiIiIiIiBQVJYRFRB4APz8/zpw5w5kzZyxKO1y+fJkaNWo88HV9fHzw8fFh3Lhx9O/fn6ioKLp3746NjQ3Z2dkWa37//fdcuHCByMhIY80DBw5YjKlTpw7Lly8nKyvrjqeE78Ta2prBgwcTFRWFjY0N/fr1MxLNLi4ueHh4sHfvXlq0aAHcLBlx8OBB/P3972u/O/H39+fYsWNUq1btrmN37NhR6PuLiIiIiIiIFBUlhEVEHoB27dpRu3ZtBgwYwMKFC7lx4wajRo2iZcuWeZZBKKx1f/vtNyZOnEivXr2oXLkyP/30E/v376dnz57AzRIVGRkZbNu2jbp162Jvb0/FihWxsbHhtddeY+TIkRw5coRZs2ZZ7Dt69Ghee+01+vXrx9SpU3FxceGbb76hUaNG+Pr6Fjj+4cOHG6dvY2NjLfqee+45IiMj8fb2pnr16rzyyit3rXV8vyZPnkzjxo0ZPXo0w4cPx8HBgWPHjrFlyxYWL178QPYUEXkUqF6wiIiIiKiGsIjIA2AymVi7di0lSpSgRYsWtGvXjipVqrB69eoHuq6VlRUXLlxg0KBB+Pj40KdPHzp06GC87KxJkyaMHDmSvn374ubmxty5c3FzcyM6OpqPP/6YGjVqEBkZybx58yz2LVWqFF9++SUZGRm0bNmSBg0asHTp0ns+Lezt7U2TJk2oXr26Rb1ggAkTJjBw4EAGDx5MYGAgTk5O+Za5+Kvq1KnDzp07OX78OM2bN6d+/fpMnz6dcuXKPZD9RERERERERB4Vptzc3NyiDkJERP4dcnNz8fb2ZtSoUYwfP76ow3mgCvp2VxEREREREZHCUNDfQ1UyQkREHorz58+zatUqzp07x5AhQ4o6HBEREREREZF/JSWERUTkoShTpgylS5fm7bffpkSJEkUdjoiIiIiIiMi/kmoIi4hIgbVq1YqxY8fm228ymYiJicmzLzc3l/Pnz/PEE088mOBERERERERE5K6UEBYRkUKTkpJChw4dijqMAtuxYwcmk4nLly8XdSgiIiIiIiIiD4VKRoiISKFxd3cv6hAAuH79OjY2NkUdhohInrymbCiyvZMiOxXZ3iIiIiLyaNAJYRERuSc5OTlMmjSJkiVL4u7uTlhYmNH3x5IRSUlJmEwmVq1aRZMmTbC1taVWrVrs3LnTGH/rhO6GDRuoU6cOtra2NG7cmCNHjhhjwsLCqFevnkUMCxcuxMvLy7gOCQmhW7duzJ49m3LlyuHr6wvA+++/T8OGDXFycsLd3Z0nnniC1NRUI77WrVsDUKJECUwmEyEhIcY9RkREULlyZezs7Khbty5r1qwppCcoIiIiIiIiUnSUEBYRkXuyfPlyHBwc2Lt3L3PnzmXmzJls2bIl3/ETJ05kwoQJfPfddwQGBtKlSxcuXLhw25j58+ezf/9+3Nzc6NKlC1lZWfcU17Zt20hMTGTLli2sX78egKysLGbNmkV8fDwxMTEkJSUZSV9PT08++eQTABITE0lJSWHRokUARERE8N577/HWW29x9OhRxo0bx5NPPmmRzP6zzMxM0tPTLT4iIiIiIiIijxqVjBARkXtSp04dZsyYAYC3tzeLFy9m27ZttG/fPs/xo0ePpmfPngC8+eabbN68mWXLljFp0iRjzIwZM4z5y5cvp0KFCnz22Wf06dOnwHE5ODjwzjvvWJSKGDp0qPG9SpUqvPrqqwQEBJCRkYGjoyMlS5YEoEyZMri6ugI3E7tz5sxh69atBAYGGnN3797NkiVLaNmyZZ77R0REEB4eXuB4RURERERERIqCTgiLiMg9qVOnjsW1h4eHUYYhL7eSqgDW1tY0bNiQhISEfMeULFkSX1/f28bcTe3atW+rG3zw4EG6dOlCxYoVcXJyMpK5ycnJ+a5z8uRJrl27Rvv27XF0dDQ+7733HqdOncp33tSpU0lLSzM+Z86cuaf4RURERERERB4GnRAWEZF7Urx4cYtrk8lETk7OA9uvWLFi5ObmWrTlVU7CwcHB4vrq1asEBQURFBTEihUrcHNzIzk5maCgIK5fv57vfhkZGQBs2LCB8uXLW/SZzeZ855nN5jv2i4iIiIiIiDwKdEJYREQeqG+++cb4fuPGDQ4ePIifn1++Yy5dusTx48eNMW5ubpw7d84iKRwXF3fXfb///nsuXLhAZGQkzZs3p3r16redZL51ojg7O9toq1GjBmazmeTkZKpVq2bx8fT0LPiNi4iIiIiIiDyCdEJYREQeqNdffx1vb2/8/PxYsGABly5dsqjtCzBz5kxKlSpF2bJlef755yldujTdunUDoFWrVpw/f565c+fSq1cvNm/ezKZNm3B2dr7jvhUrVsTGxobXXnuNkSNHcuTIEWbNmmUxplKlSphMJtavX0/Hjh2xs7PDycmJ0NBQxo0bR05ODs2aNSMtLY3Y2FicnZ0ZPHhwoT4fEfn3SYrsVNQhiIiIiMi/mE4Ii4jIAxUZGUlkZCR169Zl9+7drFu3jtKlS9825rnnnqNBgwacO3eO//u//zNO7/r5+fHGG2/w+uuvU7duXfbt20doaOhd93VzcyM6OpqPP/6YGjVqEBkZybx58yzGlC9fnvDwcKZMmULZsmUZPXo0ALNmzWLatGlERETg5+dHcHAwGzZsoHLlyoX0VERERERERESKhin3z4UZRURECkFSUhKVK1fmu+++o169enmO2bFjB61bt+bSpUu4uro+1PgetPT0dFxcXEhLS7vraWYRERERERGRv6qgv4fqhLCIiIiIiIiIiIjIv4QSwiIiIiIiIiIiIiL/EkoIi4hIofDy8mLhwoUW17m5ufmWi4CbL4zLzc39x5WLEBEREREREXlUKSEsIiL/aq1atWLs2LFFHYaIiIiIiIjIQ2Fd1AGIiIiIiMideU3ZUCjrJEV2KpR1REREROTvSyeERUSkQK5cucKAAQNwcHDAw8ODBQsW5Hu6NikpCZPJRFxcnNF2+fJlTCYTO3bsMNqOHj1K586dcXZ2xsnJiebNm3Pq1CkAcnJymDlzJhUqVMBsNlOvXj02b9582x6ffvoprVu3xt7enrp167Jnzx5jzIULF+jfvz/ly5fH3t6e2rVrs3LlSqM/JCSEnTt3smjRIkwmEyaTiaSkJACOHDlChw4dcHR0pGzZsgwcOJBff/21cB6miIiIiIiISBFRQlhERApk/PjxxMbGsm7dOrZs2cKuXbv49ttv73u9n3/+mRYtWmA2m/nyyy85ePAgQ4cO5caNGwAsWrSI+fPnM2/ePA4dOkRQUBCPP/44J06csFjn+eefJzQ0lLi4OHx8fOjfv7+xxu+//06DBg3YsGEDR44c4amnnmLgwIHs27fP2CMwMJARI0aQkpJCSkoKnp6eXL58mTZt2lC/fn0OHDjA5s2b+eWXX+jTp0++95OZmUl6errFR0RERERERORRo5IRIiJyV1euXGH58uV8+OGHtG3bFoCoqCjKlSt332u+/vrruLi4sGrVKooXLw6Aj4+P0T9v3jwmT55Mv379AHjppZfYvn07Cxcu5PXXXzfGhYaG0qnTzX8CHR4eTs2aNTl58iTVq1enfPnyhIaGGmOfffZZPv/8cz766CMaNWqEi4sLNjY22Nvb4+7uboxbvHgx9evXZ86cOUbbu+++i6enJ8ePH7eI85aIiAjCw8Pv+3mIiIiIiIiIPAw6ISwiInf1ww8/kJWVRaNGjYw2FxcXfH1973vNuLg4mjdvbiSD/yg9PZ2zZ8/StGlTi/amTZuSkJBg0VanTh3ju4eHBwCpqakAZGdnM2vWLGrXrk3JkiVxdHTk888/Jzk5+Y6xxcfHs337dhwdHY1P9erVAYySFn82depU0tLSjM+ZM2fu8gREREREREREHj6dEBYRkUJXrNjNv2/Mzc012rKysizG2NnZFcpef0wom0wm4Gb9YYCXX36ZRYsWsXDhQmrXro2DgwNjx47l+vXrd1wzIyODLl268NJLL93Wdyvp/Gdmsxmz2Xy/tyEiIiIiIiLyUOiEsIiI3FWVKlUoXrw4+/fvN9rS0tI4fvx4nuPd3NwASElJMdr++II5uHmyd9euXbcligGcnZ0pV64csbGxFu2xsbHUqFGjwHHHxsbStWtXnnzySerWrUuVKlVui9nGxobs7GyLNn9/f44ePYqXlxfVqlWz+Dg4OBR4fxEREREREZFHjU4Ii4jIXTk5OTF48GAmTpxIyZIlKVOmDDNmzKBYsWLGqdw/srOzo3HjxkRGRlK5cmVSU1N54YUXLMaMHj2a1157jX79+jF16lRcXFz45ptvaNSoEb6+vkycOJEZM2ZQtWpV6tWrR1RUFHFxcaxYsaLAcXt7e7NmzRq+/vprSpQowSuvvMIvv/xikVT28vJi7969JCUl4ejoSMmSJXnmmWdYunQp/fv3Z9KkSZQsWZKTJ0+yatUq3nnnHaysrO7/YYqI3IekyE5FHYKIiIiI/EPohLCIiBTIK6+8QmBgIJ07d6Zdu3Y0bdoUPz8/bG1t8xz/7rvvcuPGDRo0aMDYsWN58cUXLfpLlSrFl19+SUZGBi1btqRBgwYsXbrUKAExZswYxo8fz4QJE6hduzabN29m3bp1eHt7FzjmF154AX9/f4KCgmjVqhXu7u5069bNYkxoaChWVlbUqFEDNzc3kpOTjdPJ2dnZ/Oc//6F27dqMHTsWV1dXoxyGiIiIiIiIyN+RKfePBR5FREQK6OrVq5QvX5758+czbNiwog7nkZOeno6LiwtpaWk4OzsXdTgiIiIiIiLyD1fQ30NVMkJERArku+++4/vvv6dRo0akpaUxc+ZMALp27VrEkYmIiIiIiIhIQSkhLCIiBTZv3jwSExOxsbGhQYMG7Nq1i9KlSxd1WCIiIiIiIiJSQCqEKCIiBVK/fn0OHjxIRkYGFy9eZMuWLdSuXfuh7N2qVSvGjh17z/N27NiByWTi8uXLf2n/6OhoXF1d/9IaIiIiIiIiIo8CJYRFROSRUVgJ3FuaNGlCSkoKLi4ugBK7IiIiIiIiIioZISIiD1xubi7Z2dlYWz+8/+1kZWVhY2ODu7v7Q9tTRORR5zVlQ1GH8K+WFNmpqEMQERER0QlhERG5Pzk5OURERFC5cmXs7OyoW7cua9asAf7fSd9NmzbRoEEDzGYzH3zwAcWKFePAgQMW6yxcuJBKlSrxww8/0Lp1awBKlCiByWQiJCTEYr9JkyZRsmRJ3N3dCQsLs1jHZDLx5ptv8vjjj+Pg4MDs2bMtThzv2LGDIUOGkJaWhslkwmQyGWtcunSJQYMGUaJECezt7enQoQMnTpx4YM9OREREREREpKgoISwiIvclIiKC9957j7feeoujR48ybtw4nnzySXbu3GmMmTJlCpGRkSQkJPD444/Trl07oqKiLNaJiooiJCSESpUq8cknnwCQmJhISkoKixYtMsYtX74cBwcH9u7dy9y5c5k5cyZbtmyxWCssLIzu3btz+PBhhg4datHXpEkTFi5ciLOzMykpKaSkpBAaGgpASEgIBw4cYN26dezZs4fc3Fw6duxIVlZWgZ9HZmYm6enpFh8RERERERGRR41KRoiIyD3LzMxkzpw5bN26lcDAQACqVKnC7t27WbJkCU899RQAM2fOpH379sa84cOHM3LkSF555RXMZjPffvsthw8fZu3atVhZWVGyZEkAypQpc1ut3zp16jBjxgwAvL29Wbx4Mdu2bbNY/4knnmDIkCHG9Q8//GB8t7GxwcXFBZPJZFFG4sSJE6xbt47Y2FiaNGkCwIoVK/D09CQmJobevXsX6JlEREQQHh5eoLEiIiIiIiIiRUUnhEVE5J6dPHmSa9eu0b59exwdHY3Pe++9x6lTp4xxDRs2tJjXrVs3rKys+Oyzz4CbL3lr3bo1Xl5ed92zTp06FtceHh6kpqZatP15v4JISEjA2tqaxx57zGgrVaoUvr6+JCQkFHidqVOnkpaWZnzOnDlzz7GIiIiIiIiIPGg6ISwiIvcsIyMDgA0bNlC+fHmLPrPZbCSFHRwcLPpsbGwYNGgQUVFR9OjRgw8//NCiLMSdFC9e3OLaZDKRk5Nj0fbn/R4ms9mM2Wwusv1FRERERERECkIJYRERuWc1atTAbDaTnJxMy5Ytb+v/4ynhPxs+fDi1atXijTfe4MaNG/To0cPos7GxASA7O7vwg/7/1//z2n5+fty4cYO9e/caJSMuXLhAYmIiNWrUeCBxiIgUlaTITkUdgoiIiIgUMSWERUTknjk5OREaGsq4cePIycmhWbNmpKWlERsbi7OzM5UqVcp3rp+fH40bN2by5MkMHToUOzs7o69SpUqYTCbWr19Px44dsbOzw9HRsdDi9vLyIiMjg23btlG3bl3s7e3x9vama9eujBgxgiVLluDk5MSUKVMoX748Xbt2LbS9RURERERERB4FqiEsIiL3ZdasWUybNo2IiAj8/PwIDg5mw4YNVK5c+a5zhw0bxvXr1xk6dKhFe/ny5QkPD2fKlCmULVuW0aNHF2rMTZo0YeTIkfTt2xc3Nzfmzp0LQFRUFA0aNKBz584EBgaSm5vLxo0bbytTISIiIiIiIvJ3Z8rNzc0t6iBEROTfZdasWXz88cccOnSoqEN5YNLT03FxcSEtLQ1nZ+eiDkdERERERET+4Qr6e6hOCIuIyEOTkZHBkSNHWLx4Mc8++2xRhyMiIiIiIiLyr6OEsIiIFAovLy8WLlyYb39SUhJOTk74+/vTqlWr28pFPChhYWHUq1fvoewlIiIiIiIi8qhTQlhERO5JdHQ0rq6u9zzP09OTlJQUrl27xurVq7Gysir84PIQGhrKtm3bHspeIiIiIiIiIo8666IOQEREHrzc3Fyys7Oxti66P/atrKxwd3d/6Ps6Ojri6Oj40PcVEXkUeU3ZUNQhSCFIiuxU1CGIiIjI35hOCIuI/E3l5OQQERFB5cqVsbOzo27duqxZswaAHTt2YDKZ2LRpEw0aNMBsNrN7926uXLnCgAEDcHBwwMPDgwULFtCqVSvGjh1rrHvp0iUGDRpEiRIlsLe3p0OHDpw4ccJYd8iQIaSlpWEymTCZTISFhRlzr127xtChQ3FycqJixYq8/fbbRl9SUhImk4m4uDijbefOnTRq1Aiz2YyHhwdTpkzhxo0bRn+rVq0YM2YMkyZNomTJkri7u1vsB3D58mWGDx+Om5sbzs7OtGnThvj4eKP/zyUjQkJC6NatG/PmzcPDw4NSpUrxzDPPkJWVZYzJzMwkNDSU8uXL4+DgwGOPPcaOHTvu46ckIiIiIiIi8mhRQlhE5G8qIiKC9957j7feeoujR48ybtw4nnzySXbu3GmMmTJlCpGRkSQkJFCnTh3Gjx9PbGws69atY8uWLezatYtvv/3WYt2QkBAOHDjAunXr2LNnD7m5uXTs2JGsrCyaNGnCwoULcXZ2JiUlhZSUFEJDQ4258+fPp2HDhnz33XeMGjWK//73vyQmJuYZ/88//0zHjh0JCAggPj6eN998k2XLlvHiiy9ajFu+fDkODg7s3buXuXPnMnPmTLZs2WL09+7dm9TUVDZt2sTBgwfx9/enbdu2XLx4Md9nt337dk6dOsX27dtZvnw50dHRREdHG/2jR49mz549rFq1ikOHDtG7d2+Cg4ONxLiIiIiIiIjI35VKRoiI/A1lZmYyZ84ctm7dSmBgIABVqlRh9+7dLFmyhKeeegqAmTNn0r59ewCuXLnC8uXL+fDDD2nbti0AUVFRlCtXzlj3xIkTrFu3jtjYWJo0aQLAihUr8PT0JCYmht69e+Pi4oLJZMqz/EPHjh0ZNWoUAJMnT2bBggVs374dX1/f28a+8cYbeHp6snjxYkwmE9WrV+fs2bNMnjyZ6dOnU6zYzb+zrFOnDjNmzADA29ubxYsXs23bNtq3b8/u3bvZt28fqampmM1mAObNm0dMTAxr1qwxnsOflShRgsWLF2NlZUX16tXp1KkT27ZtY8SIESQnJxMVFUVycrLxbEJDQ9m8eTNRUVHMmTMn359JZmamcZ2enp7nOBEREREREZGipISwiMjf0MmTJ7l27ZqR7L3l+vXr1K9f37hu2LCh8f2HH34gKyuLRo0aGW0uLi4WydqEhASsra157LHHjLZSpUrh6+tLQkLCXeOqU6eO8f1W0jg1NTXPsQkJCQQGBmIymYy2pk2bkpGRwU8//UTFihVvWxPAw8PDWDM+Pp6MjAxKlSplMea3337j1KlT+cZZs2ZNi5faeXh4cPjwYQAOHz5MdnY2Pj4+FnMyMzNv2+ePIiIiCA8Pz7dfRERERERE5FGghLCIyN9QRkYGABs2bKB8+fIWfWaz2UiGOjg4PNS4ihcvbnFtMpnIycl5YGtmZGTg4eGRZ31fV1fX+17TysqKgwcPWiSNgTu+nG7q1KmMHz/euE5PT8fT0zPf8SIiIiIiIiJFQQlhEZG/oRo1amA2m0lOTqZly5a39ed1OrZKlSoUL16c/fv3G6dv09LSOH78OC1atADAz8+PGzdusHfvXqNkxIULF0hMTKRGjRoA2NjYkJ2d/Zfvwc/Pj08++YTc3FzjlHBsbCxOTk5UqFChQGv4+/tz7tw5rK2t8fLy+ssxAdSvX5/s7GxSU1Np3rx5geeZzWajbIWIiIiIiIjIo0oJYRGRvyEnJydCQ0MZN24cOTk5NGvWjLS0NGJjY3F2dqZSpUp5zhk8eDATJ06kZMmSlClThhkzZlCsWDEjIevt7U3Xrl0ZMWIES5YswcnJiSlTplC+fHm6du0KgJeXFxkZGWzbto26detib2+Pvb39Pd/DqFGjWLhwIc8++yyjR48mMTGRGTNmMH78eKN+8N20a9eOwMBAunXrxty5c/Hx8eHs2bNs2LCB7t27W5TMKCgfHx8GDBjAoEGDmD9/PvXr1+f8+fNs27aNOnXq0KlTp3teU0TkUZEUqT/DRERERP7tCvYbt4iIPHJmzZrFtGnTiIiIwM/Pj+DgYDZs2EDlypXznfPKK68QGBhI586dadeuHU2bNsXPzw9bW1tjTFRUFA0aNKBz584EBgaSm5vLxo0bjTILTZo0YeTIkfTt2xc3Nzfmzp17X/GXL1+ejRs3sm/fPurWrcvIkSMZNmwYL7zwQoHXMJlMbNy4kRYtWjBkyBB8fHzo168fP/74I2XLlr2vuODmMxg0aBATJkzA19eXbt26WZysFhEREREREfm7MuXm5uYWdRAiIlI0rl69Svny5Zk/fz7Dhg0r6nD+UdLT03FxcSEtLQ1nZ+eiDkdERERERET+4Qr6e6hKRoiI/It89913fP/99zRq1Ii0tDRmzpwJYJSDEBEREREREZF/NiWERUT+ZebNm0diYiI2NjY0aNCAXbt2Ubp06aIOS0REREREREQeAiWERUT+RerXr8/BgweLOgwRERERERERKSJ6qZyIiPwthISEYDKZbvsEBwcD4OXlZbTZ2dnh5eVFnz59+PLLL401wsLC8lzjj59bVq5ciZWVFc8888xDv1cRERERERGRB0UvlRMRkb+FkJAQfvnlF6KioizazWYzJUqUwMvLi2HDhjFixAiuX79OUlISH3zwAe+88w6zZs3i+eefJyMjg4yMDGNuQEAATz31FCNGjDDa3N3dAWjXrh0BAQEsWbKEs2fPYmtre0/x6qVyIvIo8pqyoahDeOQkRXYq6hBERERECoVeKiciIv84ZrPZSNjmxcnJyeivWLEiLVq0wMPDg+nTp9OrVy98fX1xdHQ0xltZWVnMueX06dN8/fXXfPLJJ2zfvp1PP/2UJ5544sHclIiIiIiIiMhDpJIRIiLyj/bcc8+Rm5vL2rVrCzwnKiqKTp064eLiwpNPPsmyZcseYIQiIiIiIiIiD48SwiIi8rexfv16HB0dLT5z5sy545ySJUtSpkwZkpKSCrRHTk4O0dHRPPnkkwD069eP3bt3c/r06TvOy8zMJD093eIjIiIiIiIi8qhRQlhERP42WrduTVxcnMVn5MiRd52Xm5tr8cK4O9myZQtXr16lY8eOAJQuXZr27dvz7rvv3nFeREQELi4uxsfT07NA+4mIiIiIiIg8TKohLCIifxsODg5Uq1btnuZcuHCB8+fPU7ly5QKNX7ZsGRcvXsTOzs5oy8nJ4dChQ4SHh1OsWN5/lzp16lTGjx9vXKenpyspLCIiIiIiIo8cJYRFROQfbdGiRRQrVoxu3brddeyFCxdYu3Ytq1atombNmkZ7dnY2zZo144svviA4ODjPuWazGbPZXFhhi4iIiIiIiDwQSgiLiMjfRmZmJufOnbNos7a2pnTp0gBcuXKFc+fOkZWVxenTp/nggw945513iIiIKNDJ4vfff59SpUrRp0+f20pMdOzYkWXLluWbEBYR+TtIiuxU1CGIiIiISBFTQlhERP42Nm/ejIeHh0Wbr68v33//PQDTp09n+vTp2NjY4O7uTuPGjdm2bRutW7cu0Prvvvsu3bt3z7PecM+ePRk4cCC//vqrkYAWERERERER+bsx5ebm5hZ1ECIiIv806enpuLi4kJaWhrOzc1GHIyIiIiIiIv9wBf09NO8344iIiIiIiIiIiIjIP44SwiIiIiIiIiIiIiL/EkoIi4jIP1pISAjdunUr6jBEREREREREHgl6qZyIiPwthISEcPnyZWJiYu5p3qJFi1C5fBEREREREZGblBAWEZF/NBcXl6IOQUT+BbymbCjqEAokKbJTUYcgIiIiIkVMJSNEROShycnJISIigsqVK2NnZ0fdunVZs2aN0X/06FE6d+6Ms7MzTk5ONG/enFOnThEWFsby5ctZu3YtJpMJk8nEjh07ADh8+DBt2rTBzs6OUqVK8dRTT5GRkWGs+eeSEa1atWLMmDFMmjSJkiVL4u7uTlhYmEWcly9fZvjw4bi5ueHs7EybNm2Ij49/kI9GRERERERE5KFQQlhERB6aiIgI3nvvPd566y2OHj3KuHHjePLJJ9m5cyc///wzLVq0wGw28+WXX3Lw4EGGDh3KjRs3CA0NpU+fPgQHB5OSkkJKSgpNmjTh6tWrBAUFUaJECfbv38/HH3/M1q1bGT169B3jWL58OQ4ODuzdu5e5c+cyc+ZMtmzZYvT37t2b1NRUNm3axMGDB/H396dt27ZcvHjxQT8iERERERERkQdKJSNEROShyMzMZM6cOWzdupXAwEAAqlSpwu7du1myZAleXl64uLiwatUqihcvDoCPj48x387OjszMTNzd3Y225cuX8/vvv/Pee+/h4OAAwOLFi+nSpQsvvfQSZcuWzTOWOnXqMGPGDAC8vb1ZvHgx27Zto3379uzevZt9+/aRmpqK2WwGYN68ecTExLBmzRqeeuqpfO8vMzPTuE5PT7/fRyUiIiIiIiLywCghLCIiD8XJkye5du0a7du3t2i/fv069evX5/LlyzRv3txIBhdEQkICdevWNZLBAE2bNiUnJ4fExMQ7JoT/yMPDg9TUVADi4+PJyMigVKlSFmN+++03Tp06lW8sERERhIeHFzh2ERERERERkaKghLCIiDwUt+r6btiwgfLly1v0mc1mxo4d+9Bi+XPS2WQykZOTA9yM08PDw6hR/Eeurq75rjl16lTGjx9vXKenp+Pp6Vko8YqIiIiIiIgUFiWERUTkoahRowZms5nk5GRatmx5W3+dOnVYvnw5WVlZeZ4StrGxITs726LNz8+P6Ohorl69apwSjo2NpVixYvj6+t5XnP7+/pw7dw5ra2u8vLwKPM9sNhslJkREREREREQeVUoIi4jIQ+Hk5ERoaCjjxo0jJyeHZs2akZaWRmxsLM7OzowePZrXXnuNfv36MXXqVFxcXPjmm29o1KgRvr6+eHl58fnnn5OYmEipUqVwcXFhwIABzJgxg8GDBxMWFsb58+d59tlnGThwYL7lIu6mXbt2BAYG0q1bN+bOnYuPjw9nz55lw4YNdO/enYYNGxbykxGRf4KkyE5FHYKIiIiISIEUK+oARETk32PWrFlMmzaNiIgI/Pz8CA4OZsOGDVSuXJlSpUrx5ZdfkpGRQcuWLWnQoAFLly41TguPGDECX19fGjZsiJubG7Gxsdjb2/P5559z8eJFAgIC6NWrF23btmXx4sX3HaPJZGLjxo20aNGCIUOG4OPjQ79+/fjxxx/vO8ksIiIiIiIi8qgw5ebm5hZ1ECIiIv806enpuLi4kJaWhrOzc1GHIyIiIiIiIv9wBf09VCeERURERERERERERP4llBAWERERERERERER+ZdQQlhE5CFKSkrCZDIRFxdX1KE8NF5eXixcuLDA4wv7GUVHR+Pq6looa4mIiIiIiIj83SkhLCLyEHl6epKSkkKtWrWKOpR/jb59+3L8+PGiDkNERERERETkkWBd1AGIiPybWFlZ4e7uXtRh/KvY2dlhZ2dX1GGISCHymrKhqEP420qK7FTUIYiIiIhIEdMJYRGRByAnJ4e5c+dSrVo1zGYzFStWZPbs2beVQ9ixYwcmk4lt27bRsGFD7O3tadKkCYmJicZaYWFh1KtXj/fffx8vLy9cXFzo168fV65cMcZs3ryZZs2a4erqSqlSpejcuTOnTp0y+m/t+9FHH9G8eXPs7OwICAjg+PHj7N+/n4YNG+Lo6EiHDh04f/68xX3MnDmTChUqYDabqVevHps3bzb627Rpw+jRoy3u/fz589jY2LBt27Y8n833339Ps2bNsLW1pUaNGmzduhWTyURMTMxtY3Nzc6lWrRrz5s2zaI+Li8NkMnHy5EkALl++zNNPP03ZsmWxtbWlVq1arF+/Hri9ZERBnmdOTg4RERFUrlwZOzs76taty5o1a/K8HxEREREREZG/EyWERUQegKlTpxIZGcm0adM4duwYH374IWXLls13/PPPP8/8+fM5cOAA1tbWDB061KL/1KlTxMTEsH79etavX8/OnTuJjIw0+q9evcr48eM5cOAA27Zto1ixYnTv3p2cnByLdWbMmMELL7zAt99+i7W1NU888QSTJk1i0aJF7Nq1i5MnTzJ9+nRj/KJFi5g/fz7z5s3j0KFDBAUF8fjjj3PixAkAhg8fzocffkhmZqYx54MPPqB8+fK0adPmtvvMzs6mW7du2Nvbs3fvXt5++22ef/75fJ+LyWRi6NChREVFWbRHRUXRokULqlWrRk5ODh06dCA2NpYPPviAY8eOERkZiZWVVb7r3u15RkRE8N577/HWW29x9OhRxo0bx5NPPsnOnTvzXTMzM5P09HSLj4iIiIiIiMijRiUjREQK2ZUrV1i0aBGLFy9m8ODBAFStWpVmzZqRlJSU55zZs2fTsmVLAKZMmUKnTp34/fffsbW1BW6eWI2OjsbJyQmAgQMHsm3bNmbPng1Az549LdZ79913cXNz49ixYxb1ikNDQwkKCgLgueeeo3///mzbto2mTZsCMGzYMKKjo43x8+bNY/LkyfTr1w+Al156ie3bt7Nw4UJef/11evTowejRo1m7di19+vQBbp7IDQkJwWQy3XafW7Zs4dSpU+zYscMonTF79mzat2+f7/MMCQlh+vTp7Nu3j0aNGpGVlcWHH35onBreunUr+/btIyEhAR8fHwCqVKmS73p3e56ZmZnMmTOHrVu3EhgYaKy3e/dulixZYvyc/iwiIoLw8PA77isiIiIiIiJS1HRCWESkkCUkJJCZmUnbtm0LPKdOnTrGdw8PDwBSU1ONNi8vLyN5eWvMH/tPnDhB//79qVKlCs7Oznh5eQGQnJyc7z63TizXrl3bou3Wuunp6Zw9e9ZIFt/StGlTEhISALC1tWXgwIG8++67AHz77bccOXKEkJCQPO8zMTERT09PizrKjRo1ynPsLeXKlaNTp07GHv/3f/9HZmYmvXv3Bm6Wj6hQoYKRDC6IOz3PkydPcu3aNdq3b4+jo6Pxee+99yzKcPzZ1KlTSUtLMz5nzpwpcDwiIiIiIiIiD4tOCIuIFLL7eYFZ8eLFje+3Ttb+sdzDH/tvjfljf5cuXahUqRJLly6lXLly5OTkUKtWLa5fv37Xff7c9ucyE3czfPhw6tWrx08//URUVBRt2rShUqVK97RGQfYYOHAgCxYsICoqir59+2Jvbw/89ecNlvedkZEBwIYNGyhfvrzFOLPZnO+aZrP5jv0iIiIiIiIijwKdEBYRKWTe3t7Y2dnl+1K1wnbhwgUSExN54YUXaNu2LX5+fly6dOkvr+vs7Ey5cuWIjY21aI+NjaVGjRrGde3atWnYsCFLly7lww8/vK3+8R/5+vpy5swZfvnlF6Nt//79d42lY8eOODg48Oabb7J582aLPerUqcNPP/3E8ePH7+X28lWjRg3MZjPJyclUq1bN4uPp6Vkoe4iIiIiIiIgUFZ0QFhEpZLa2tkyePJlJkyZhY2ND06ZNOX/+PEePHr2nMhIFVaJECUqVKsXbb7+Nh4cHycnJTJkypVDWnjhxIjNmzKBq1arUq1ePqKgo4uLiWLFihcW44cOHM3r0aBwcHOjevXu+67Vv356qVasyePBg5s6dy5UrV3jhhRcA8qw5fIuVlRUhISFMnToVb29vo7YvQMuWLWnRogU9e/bklVdeoVq1anz//feYTCaCg4Pv+Z6dnJwIDQ1l3Lhx5OTk0KxZM9LS0oiNjcXZ2dmoCy0iRScpslNRhyAiIiIi8relE8IiIg/AtGnTmDBhAtOnT8fPz4++ffta1PwtTMWKFWPVqlUcPHiQWrVqMW7cOF5++eVCWXvMmDGMHz+eCRMmULt2bTZv3sy6devw9va2GNe/f3+sra3p37+/8SK8vFhZWRETE0NGRgYBAQEMHz6c559/HuCO8+DmC++uX7/OkCFDbuv75JNPCAgIoH///tSoUYNJkyaRnZ19H3d806xZs5g2bRoRERH4+fkRHBzMhg0bqFy58n2vKSIiIiIiIvIoMOXm5uYWdRAiIvL3lpSURNWqVdm/fz/+/v73NDc2NpZmzZpx8uRJqlatmu+4Xbt20bZtW86cOWO8EO9Rlp6ejouLC2lpaTg7Oxd1OCIiIiIiIvIPV9DfQ1UyQkRE7ltWVhYXLlzghRdeoHHjxgVKBn/22Wc4Ojri7e3NyZMnee6552jatGm+yeDMzEzOnz9PWFgYvXv3/lskg0VEREREREQeVSoZISIi9y02NhYPDw/279/PW2+9VaA5V65c4ZlnnqF69eqEhIQQEBDA2rVr8x2/cuVKKlWqxOXLl5k7d25hhS4iIiIiIiLyr6SSESIichsvLy/Gjh3L2LFj73uNkJAQLl++TExMTKHF9UdhYWHExMQQFxdn0fbmm2+SmprKZ599Rrdu3R7I3gWhkhEiIiIiIiLyMBX091CdEBYR+RsLCwujXr16RR3GIyEhIYHw8HCWLFlCSkoKHTp0KNA8k8n0wJLWIiIiIiIiIo8a1RAWEZF/hFOnTgHQtWtXTCZTEUcjIvJo8pqyoahD+NtKiuxU1CGIiIiIFAqdEBYRKUI5OTnMnTuXatWqYTabqVixIrNnzzb6J0+ejI+PD/b29lSpUoVp06aRlZUFQHR0NOHh4cTHx2MymTCZTERHRwNw+fJlhg8fjpubG87OzrRp04b4+HiLvf/v//6PgIAAbG1tKV26NN27d7fov3btGkOHDsXJyYmKFSvy9ttvW/QfPnyYNm3aYGdnR6lSpXjqqafIyMgo8L3/+OOPdOnShRIlSuDg4EDNmjXZuHGjcW+urq4W42NiYvJN9IaFhdGlSxcAihUrZozbv38/7du3p3Tp0ri4uNCyZUu+/fZbY56XlxcA3bt3x2QyGdcAa9euxd/fH1tbW6pUqUJ4eDg3btwo8P2JiIiIiIiIPIqUEBYRKUJTp04lMjKSadOmcezYMT788EPKli1r9Ds5OREdHc2xY8dYtGgRS5cuZcGCBQD07duXCRMmULNmTVJSUkhJSaFv374A9O7dm9TUVDZt2sTBgwfx9/enbdu2XLx4EYANGzbQvXt3OnbsyHfffce2bdto1KiRRWzz58+nYcOGfPfdd4waNYr//ve/JCYmAnD16lWCgoIoUaIE+/fv5+OPP2br1q2MHj26wPf+zDPPkJmZyVdffcXhw4d56aWXcHR0vK/nGBoaSlRUFIDxLODmC+wGDx7M7t27+eabb/D29qZjx45cuXIFuJkwBoiKiiIlJcW43rVrF4MGDeK5557j2LFjLFmyhOjoaItk/Z9lZmaSnp5u8RERERERERF51KhkhIhIEbly5QqLFi1i8eLFDB48GICqVavSrFkzY8wLL7xgfPfy8iI0NJRVq1YxadIk7OzscHR0xNraGnd3d2Pc7t272bdvH6mpqZjNZgDmzZtHTEwMa9as4amnnmL27Nn069eP8PBwY17dunUt4uvYsSOjRo0Cbp5UXrBgAdu3b8fX15cPP/yQ33//nffeew8HBwcAFi9eTJcuXXjppZcsktr5SU5OpmfPntSuXRuAKlWq3NPz+yNHR0fjRPEfn0WbNm0sxr399tu4urqyc+dOOnfujJubGwCurq4W88LDw5kyZYrxc6lSpQqzZs1i0qRJzJgxI88YIiIiLJ6niIiIiIiIyKNICWERkSKSkJBAZmYmbdu2zXfM6tWrefXVVzl16hQZGRncuHHjjm8KBYiPjycjI4NSpUpZtP/2229Gnd24uDhGjBhxx3Xq1KljfDeZTLi7u5OammrEXrduXSMZDNC0aVNycnJITEwsUEJ4zJgx/Pe//+WLL76gXbt29OzZ02LPwvDLL7/wwgsvsGPHDlJTU8nOzubatWskJyffcV58fDyxsbEWJ4Kzs7P5/fffuXbtGvb29rfNmTp1KuPHjzeu09PT8fT0LLybERERERERESkESgiLiBQROzu7O/bv2bOHAQMGEB4eTlBQEC4uLqxatYr58+ffcV5GRgYeHh7s2LHjtr5bp2jvtjdA8eLFLa5NJhM5OTl3nVdQw4cPJygoiA0bNvDFF18QERHB/PnzefbZZylWrBi5ubkW42/VTr4XgwcP5sKFCyxatIhKlSphNpsJDAzk+vXrd5yXkZFBeHg4PXr0uK3P1tY2zzlms9k4kS0iIiIiIiLyqFINYRGRIuLt7Y2dnR3btm3Ls//rr7+mUqVKPP/88zRs2BBvb29+/PFHizE2NjZkZ2dbtPn7+3Pu3Dmsra2pVq2axad06dLAzdO/+e1bEH5+fsTHx3P16lWjLTY2lmLFiuHr61vgdTw9PRk5ciSffvopEyZMYOnSpQC4ublx5coVi/Xj4uLuOc7Y2FjGjBlDx44dqVmzJmazmV9//dViTPHixfN8homJibc9v2rVqlGsmP7XKSIiIiIiIn9fOiEsIlJEbG1tmTx5MpMmTcLGxoamTZty/vx5jh49yrBhw/D29iY5OZlVq1YREBDAhg0b+OyzzyzW8PLy4vTp08TFxVGhQgWcnJxo164dgYGBdOvWjblz5+Lj48PZs2eNF8k1bNiQGTNm0LZtW6pWrUq/fv24ceMGGzduZPLkyQWKfcCAAcyYMYPBgwcTFhbG+fPnefbZZxk4cGCBykUAjB07lg4dOuDj48OlS5fYvn07fn5+ADz22GPY29vzv//9jzFjxrB3716io6Pv6fnCzaT7+++/T8OGDUlPT2fixIm3nY728vJi27ZtNG3aFLPZTIkSJZg+fTqdO3emYsWK9OrVi2LFihEfH8+RI0d48cUX7zkOEZFHRVJkp6IOQURERESKmI45iYgUoWnTpjFhwgSmT5+On58fffv2Ner0Pv7444wbN47Ro0dTr149vv76a6ZNm2Yxv2fPngQHB9O6dWvc3NxYuXIlJpOJjRs30qJFC4YMGYKPjw/9+vXjxx9/NJK1rVq14uOPP2bdunXUq1ePNm3asG/fvgLHbW9vz+eff87FixcJCAigV69etG3blsWLFxd4jezsbJ555hn8/PwIDg7Gx8eHN954A4CSJUvywQcfsHHjRmrXrs3KlSsJCwsr8Nq3LFu2jEuXLuHv78/AgQMZM2YMZcqUsRgzf/58tmzZgqenJ/Xr1wcgKCiI9evX88UXXxAQEEDjxo1ZsGABlSpVuucYRERERERERB4lptw/F2kUERGRvyw9PR0XFxfS0tLu+iJAERERERERkb+qoL+H6oSwiIiIiIiIiIiIyL+EEsIiIiIiIiIiIiIi/xJKCIuIyCPBy8uLhQsXGtcmk4mYmJgCzw8JCaFbt253HTdw4EDmzJlT4HV//fVXypQpw08//VTgOSIiIiIiIiKPKiWERUT+BcLCwqhXr15Rh3FPUlJS6NChQ6GuGR8fz8aNGxkzZozRFhYWRvXq1XFwcKBEiRK0a9eOvXv3Gv2lS5dm0KBBzJgxo1BjERERERERESkK1kUdgIiI3L/r169jY2NT1GE8EO7u7oW+5muvvUbv3r1xdHQ02nx8fFi8eDFVqlTht99+Y8GCBfznP//h5MmTuLm5ATBkyBAaNGjAyy+/TMmSJQs9LhGRwuQ1ZUO+fUmRnR5iJCIiIiLyKNIJYRGRhygnJ4e5c+dSrVo1zGYzFStWZPbs2Ub/5MmT8fHxwd7enipVqjBt2jSysrKM/lsnfd955x0qV66Mra0tAMnJyXTt2hVHR0ecnZ3p06cPv/zyCwDR0dGEh4cTHx+PyWTCZDIRHR0NwOXLlxk+fDhubm44OzvTpk0b4uPjb9vv/fffx8vLCxcXF/r168eVK1cs7ikiIoLKlStjZ2dH3bp1WbNmzR2fQ2pqKl26dMHOzo7KlSuzYsWK28b8uWTE4cOHadOmDXZ2dpQqVYqnnnqKjIyMAj/77Oxs1qxZQ5cuXSzan3jiCdq1a0eVKlWoWbMmr7zyCunp6Rw6dMgYU7NmTcqVK8dnn31W4P1EREREREREHkU6ISwi8hBNnTqVpUuXsmDBApo1a0ZKSgrff/+90e/k5ER0dDTlypXj8OHDjBgxAicnJyZNmmSMOXnyJJ988gmffvopVlZW5OTkGMngnTt3cuPGDZ555hn69u3Ljh076Nu3L0eOHGHz5s1s3boVABcXFwB69+6NnZ0dmzZtwsXFhSVLltC2bVuOHz9unIQ9deoUMTExrF+/nkuXLtGnTx8iIyONRHZERAQffPABb731Ft7e3nz11Vc8+eSTuLm50bJlyzyfQ0hICGfPnmX79u0UL16cMWPGkJqamu9zu3r1KkFBQQQGBrJ//35SU1MZPnw4o0ePNpLbd3Po0CHS0tJo2LBhvmOuX7/O22+/jYuLC3Xr1rXoa9SoEbt27WLYsGF5zs3MzCQzM9O4Tk9PL1BcIiIiIiIiIg+TEsIiIg/JlStXWLRoEYsXL2bw4MEAVK1alWbNmhljXnjhBeO7l5cXoaGhrFq1yiIhfP36dd577z2jnMGWLVs4fPgwp0+fxtPTE4D33nuPmjVrsn//fgICAnB0dMTa2tqiDMPu3bvZt28fqampmM1mAObNm0dMTAxr1qzhqaeeAm6eAI6OjsbJyQm4+VK2bdu2MXv2bDIzM5kzZw5bt24lMDAQgCpVqrB7926WLFmSZ0L4+PHjbNq0iX379hEQEADAsmXL8PPzy/fZffjhh/z++++89957ODg4ALB48WK6dOnCSy+9RNmyZe/6/H/88UesrKwoU6bMbX3r16+nX79+XLt2DQ8PD7Zs2ULp0qUtxpQrV47vvvsu3/UjIiIIDw+/axwiIiIiIiIiRUkJYRGRhyQhIYHMzEzatm2b75jVq1fz6quvcurUKTIyMrhx4wbOzs4WYypVqmQkg2+t6+npaSSDAWrUqIGrqysJCQlG0vXP4uPjycjIoFSpUhbtv/32G6dOnTKuvby8jGQwgIeHh3Ga9+TJk1y7do327dtbrHH9+nXq16+f73OwtramQYMGRlv16tVxdXXNc/ytOXXr1jWSwQBNmzYlJyeHxMTEAiWEf/vtN8xmMyaT6ba+1q1bExcXx6+//srSpUvp06cPe/futUge29nZce3atXzXnzp1KuPHjzeu09PTLX4mIiIiIiIiIo8CJYRFRB4SOzu7O/bv2bOHAQMGEB4eTlBQEC4uLqxatYr58+dbjPtjUvSvyMjIwMPDgx07dtzW98fkbPHixS36TCYTOTk5xhoAGzZsoHz58hbjbp06flSULl2aa9eu5fkiPgcHB6pVq0a1atVo3Lgx3t7eLFu2jKlTpxpjLl68aJGI/zOz2fzI3bOIiIiIiIjInykhLCLykHh7e2NnZ8e2bdsYPnz4bf1ff/01lSpV4vnnnzfafvzxx7uu6+fnx5kzZzhz5oxxIvXYsWNcvnyZGjVqAGBjY0N2drbFPH9/f86dO4e1tTVeXl73dU81atTAbDaTnJycb73gP6tevTo3btzg4MGDxunlxMRELl++nO8cPz8/oqOjuXr1qpEQj42NpVixYvj6+hZo33r16gE3n82t7/nJycmxqAcMcOTIEVq1alWgvUREREREREQeVUoIi4g8JLa2tkyePJlJkyZhY2ND06ZNOX/+PEePHmXYsGF4e3uTnJzMqlWrCAgIYMOGDXz22Wd3Xbddu3bUrl2bAQMGsHDhQm7cuMGoUaNo2bKl8QI1Ly8vTp8+TVxcHBUqVMDJyYl27doRGBhIt27dmDt3Lj4+Ppw9e5YNGzbQvXv3O7587RYnJydCQ0MZN24cOTk5NGvWjLS0NGJjY3F2djZqJf+Rr68vwcHBPP3007z55ptYW1szduzYO56gHjBgADNmzGDw4MGEhYVx/vx5nn32WQYOHFigchEAbm5u+Pv7s3v3biMhfPXqVWbPns3jjz+Oh4cHv/76K6+//jo///wzvXv3NuZeu3aNgwcPMmfOnALtJSJSlJIiOxV1CCIiIiLyCCtW1AGIiPybTJs2jQkTJjB9+nT8/Pzo27evUY/38ccfZ9y4cYwePZp69erx9ddfM23atLuuaTKZWLt2LSVKlKBFixa0a9eOKlWqsHr1amNMz549CQ4OpnXr1ri5ubFy5UpMJhMbN26kRYsWDBkyBB8fH/r168ePP/5Y4CQrwKxZs5g2bRoRERH4+fkRHBzMhg0bqFy5cr5zoqKiKFeuHC1btqRHjx489dRTeb7s7RZ7e3s+//xzLl68SEBAAL169aJt27YsXry4wHECDB8+nBUrVhjXVlZWfP/99/Ts2RMfHx+6dOnChQsX2LVrFzVr1jTGrV27looVK9K8efN72k9ERERERETkUWPKzc3NLeogREREHobffvsNX19fVq9eTWBgYIHnNW7cmDFjxvDEE08UeE56ejouLi6kpaXd9mJAERERERERkcJW0N9DdUJYRET+Nezs7Hjvvff49ddfCzzn119/pUePHvTv3/8BRiYiIiIiIiLycOiEsIiIyAOgE8IiIiIiIiLyMOmEsIiI/K14eXmxcOFC49pkMhETE1Pg+SEhIXTr1u2u4wYOHHhPL4f79ddfKVOmDD/99FOB54iIiIiIiIg8qpQQFhH5FwgLC6NevXpFHcY9SUlJoUOHDoW6Znx8PBs3bmTMmDEAZGVlMXnyZGrXro2DgwPlypVj0KBBnD171phTunRpBg0axIwZMwo1FhEREREREZGiYF3UAYiIyP27fv06NjY2RR3GA+Hu7l7oa7722mv07t0bR0dHAK5du8a3337LtGnTqFu3LpcuXeK5557j8ccf58CBA8a8IUOG0KBBA15++WVKlixZ6HGJiDwsXlM2FHUID1RSZKeiDkFERETkkacTwiIiD1FOTg5z586lWrVq/H/s3X14z/X////ry9j5GZoMY8M2MyczI6Oc15ZzysjCMCWWlDlLtE3OineUN4naC6npxFlOKx9zMnKWjd6Wk9XMu9Z7FbZGZrb9/vDz/HqxMZJRt8txvI5jz8fzcXJ/PF8dOXb3cH/a2NhQs2ZNpk6datwfN24cPj4+2NvbU7t2bSZNmkR+fr5x/8pJ38WLF+Pl5YWtrS0AGRkZdO/eHUdHR5ydnQkLC+N///sfAGazmdjYWFJSUjCZTJhMJsxmMwBnz54lMjISNzc3nJ2dad++PSkpKdett2zZMjw9PXFxcaFv3778/vvvFnuaPn06Xl5e2NnZ0bhxYz799NMbPoesrCy6du2KnZ0dXl5eLF++/Lo+15aMOHz4MO3bt8fOzo7KlSvzzDPPkJubW+pnX1BQwKeffkrXrl2NNhcXF7788kvCwsLw9fWlRYsWzJs3jwMHDpCRkWH08/f3p1q1aqxatarU64mIiIiIiIjci3RCWETkLpowYQKLFi3izTff5OGHHyYzM5PvvvvOuO/k5ITZbKZatWocPnyYoUOH4uTkxNixY40+J06c4LPPPmPlypVYWVlRWFhoJIO3bdvGpUuXGDFiBH369CExMZE+ffrw7bffsmnTJr766ivgciIUoHfv3tjZ2bFx40ZcXFxYuHAhHTp04NixY8ZJ2LS0NFavXs26des4c+YMYWFhzJgxw0hkT58+nQ8++IB33nkHb29vtm/fztNPP42bmxtt2rQp9jlERETw008/sXXrVipUqMDIkSPJysoq8bmdO3eOkJAQgoOD2bdvH1lZWURGRhIVFWUkt2/m0KFDZGdnExQUdMN+2dnZmEwmXF1dLdqbN2/Ojh07GDJkSLHj8vLyyMvLM65zcnJKFZeIiIiIiIjI3aSEsIjIXfL7778zd+5c5s2bx8CBAwGoU6cODz/8sNHnlVdeMX729PQkOjqahIQEi4TwxYsXWbp0KW5ubgB8+eWXHD58mB9++AEPDw8Ali5dir+/P/v27aNZs2Y4OjpSvnx5izIMO3fuZO/evWRlZWFjYwPArFmzWL16NZ9++inPPPMMcPkEsNlsxsnJCbj8UrYtW7YwdepU8vLymDZtGl999RXBwcEA1K5dm507d7Jw4cJiE8LHjh1j48aN7N27l2bNmgHw3nvv4efnV+Kz+/DDD7lw4QJLly7FwcEBgHnz5tG1a1dmzpzJgw8+eNPnf/LkSaysrKhSpUqJfS5cuMC4ceN46qmnrnsja7Vq1Th48GCJY6dPn05sbOxN4xAREREREREpS0oIi4jcJampqeTl5dGhQ4cS+6xYsYK33nqLtLQ0cnNzuXTp0nWJyVq1ahnJ4Cvzenh4GMlggPr16+Pq6kpqaqqRdL1WSkoKubm5VK5c2aL9jz/+IC0tzbj29PQ0ksEA7u7uxmneEydOcP78eR599FGLOS5evEiTJk1KfA7ly5enadOmRlu9evWuO5F77ZjGjRsbyWCAVq1aUVhYyNGjR0uVEP7jjz+wsbHBZDIVez8/P5+wsDCKiopYsGDBdfft7Ow4f/58ifNPmDCBl156ybjOycmx+E5ERERERERE7gVKCIuI3CV2dnY3vL97927Cw8OJjY0lJCQEFxcXEhISmD17tkW/q5Oif0Zubi7u7u4kJiZed+/q5GyFChUs7plMJgoLC405ANavX0/16tUt+l05dXyveOCBBzh//nyxL+K7kgw+efIk//d//3ddEh7g9OnTFon4a9nY2NxzexYRERERERG5lhLCIiJ3ibe3N3Z2dmzZsoXIyMjr7u/atYtatWoxceJEo+3kyZM3ndfPz49Tp05x6tQp40TqkSNHOHv2LPXr1wfA2tqagoICi3GBgYH8/PPPlC9fHk9Pz9vaU/369bGxsSEjI6PEesHXqlevHpcuXeLAgQPG6eWjR49y9uzZEsf4+flhNps5d+6ckRBPSkqiXLly+Pr6lmrdgIAA4PKzufIz/L9k8PHjx9m6det1J6av+Pbbb2nbtm2p1hIRERERERG5VykhLCJyl9ja2jJu3DjGjh2LtbU1rVq14pdffuE///kPQ4YMwdvbm4yMDBISEmjWrBnr169n1apVN523Y8eONGzYkPDwcObMmcOlS5cYPnw4bdq0MV6g5unpyQ8//EBycjI1atTAycmJjh07EhwcTI8ePXj99dfx8fHhp59+Yv369fTs2fOmL1+Dyy/Bi46O5sUXX6SwsJCHH36Y7OxskpKScHZ2NmolX83X15fQ0FCeffZZFixYQPny5Rk1atQNT1CHh4fz6quvMnDgQGJiYvjll194/vnn6d+/f6nKRQC4ubkRGBjIzp07jYRwfn4+Tz75JN988w3r1q2joKCAn3/+GYBKlSoZJ4nPnz/PgQMHmDZtWqnWEhG5V6XP6FzWIYiIiIhIGStX1gGIiPyTTJo0idGjRzN58mT8/Pzo06ePUY+3W7duvPjii0RFRREQEMCuXbuYNGnSTec0mUysWbOGihUr0rp1azp27Ejt2rVZsWKF0eeJJ54gNDSUdu3a4ebmxkcffYTJZGLDhg20bt2aQYMG4ePjQ9++fTl58mSpk6wAU6ZMYdKkSUyfPh0/Pz9CQ0NZv349Xl5eJY6Jj4+nWrVqtGnThl69evHMM8/c8GVv9vb2bN68mdOnT9OsWTOefPJJOnTowLx580odJ0BkZCTLly83rn/88UfWrl3Lf//7XwICAnB3dzc+u3btMvqtWbOGmjVr8sgjj9zSeiIiIiIiIiL3GlNRUVFRWQchIiJyN/zxxx/4+vqyYsUKgoODSz2uRYsWjBw5kn79+pV6TE5ODi4uLmRnZxdbk1hERERERETkTirt76E6ISwiIv8YdnZ2LF26lF9//bXUY3799Vd69erFU0899RdGJiIiIiIiInJ36ISwiIjIX0AnhEVERERERORu0glhERG5r3h6ejJnzhzj2mQysXr16lKPj4iIoEePHjft179//1t6OdzFixfx9PRk//79pR4jIiIiIiIicq8qX9YBiIjIXy8mJobVq1eTnJxc1qGUWmZmJhUrVryjc6akpLBhwwYWLFhgtK1cuZJ33nmHAwcOcPr0aQ4ePEhAQIBx39ramujoaMaNG8eWLVvuaDwiIneb5/j1ZR3CTaXP6FzWIYiIiIj8remEsIjIfezixYtlHcJfpmrVqtjY2NzROd9++2169+6No6Oj0Xbu3DkefvhhZs6cWeK48PBwdu7cyX/+8587Go+IiIiIiIjI3aaEsIjIXVRYWMjrr79O3bp1sbGxoWbNmkydOtW4P27cOHx8fLC3t6d27dpMmjSJ/Px8435MTAwBAQEsXrwYLy8vbG1tAcjIyKB79+44Ojri7OxMWFgY//vf/wAwm83ExsaSkpKCyWTCZDJhNpsBOHv2LJGRkbi5ueHs7Ez79u1JSUm5br1ly5bh6emJi4sLffv25ffff7fY0/Tp0/Hy8sLOzo7GjRvz6aef3vA5ZGVl0bVrV+zs7PDy8mL58uXX9bm2ZMThw4dp3749dnZ2VK5cmWeeeYbc3NxSP/uCggI+/fRTunbtatHev39/Jk+eTMeOHUscW7FiRVq1akVCQkKp1xMRERERERG5F6lkhIjIXTRhwgQWLVrEm2++ycMPP0xmZibfffedcd/JyQmz2Uy1atU4fPgwQ4cOxcnJibFjxxp9Tpw4wWeffcbKlSuxsrKisLDQSAZv27aNS5cuMWLECPr06UNiYiJ9+vTh22+/ZdOmTXz11VcAuLi4ANC7d2/s7OzYuHEjLi4uLFy4kA4dOnDs2DEqVaoEQFpaGqtXr2bdunWcOXOGsLAwZsyYYSSyp0+fzgcffMA777yDt7c327dv5+mnn8bNzY02bdoU+xwiIiL46aef2Lp1KxUqVGDkyJFkZWWV+NzOnTtHSEgIwcHB7Nu3j6ysLCIjI4mKijKS2zdz6NAhsrOzCQoKKlX/azVv3pwdO3aUeD8vL4+8vDzjOicn57bWEREREREREfkrKSEsInKX/P7778ydO5d58+YxcOBAAOrUqcPDDz9s9HnllVeMnz09PYmOjiYhIcEiIXzx4kWWLl2Km5sbAF9++SWHDx/mhx9+wMPDA4ClS5fi7+/Pvn37aNasGY6OjpQvX56qVasa8+zcuZO9e/eSlZVllGaYNWsWq1ev5tNPP+WZZ54BLp8ANpvNODk5AZdP1G7ZsoWpU6eSl5fHtGnT+OqrrwgODgagdu3a7Ny5k4ULFxabED527BgbN25k7969NGvWDID33nsPPz+/Ep/dhx9+yIULF1i6dCkODg4AzJs3j65duzJz5kwefPDBmz7/kydPYmVlRZUqVW7atzjVqlXj5MmTJd6fPn06sbGxtzW3iIiIiIiIyN2ihLCIyF2SmppKXl4eHTp0KLHPihUreOutt0hLSyM3N5dLly7h7Oxs0adWrVpGMvjKvB4eHkYyGKB+/fq4urqSmppqJF2vlZKSQm5uLpUrV7Zo/+OPP0hLSzOuPT09jWQwgLu7u3Ga98SJE5w/f55HH33UYo6LFy/SpEmTEp9D+fLladq0qdFWr149XF1di+1/ZUzjxo2NZDBAq1atKCws5OjRo6VKCP/xxx/Y2NhgMplu2rc4dnZ2nD9/vsT7EyZM4KWXXjKuc3JyLL4TERERERERkXuBEsIiIneJnZ3dDe/v3r2b8PBwYmNjCQkJwcXFhYSEBGbPnm3R7+qk6J+Rm5uLu7s7iYmJ1927OjlboUIFi3smk4nCwkJjDoD169dTvXp1i353+oVwf9YDDzzA+fPnuXjxItbW1rc8/vTp0xaJ+GvZ2Njcc3sWERERERERuZYSwiIid4m3tzd2dnZs2bKFyMjI6+7v2rWLWrVqMXHiRKPtRiUKrvDz8+PUqVOcOnXKOJF65MgRzp49S/369QGwtramoKDAYlxgYCA///wz5cuXx9PT87b2VL9+fWxsbMjIyCixXvC16tWrx6VLlzhw4IBxevno0aOcPXu2xDF+fn6YzWbOnTtnJMSTkpIoV64cvr6+pVo3ICAAuPxsrvx8K7799tsSTz2LiNwv0md0LusQRERERKSMlSvrAERE/ilsbW0ZN24cY8eOZenSpaSlpfH111/z3nvvAZcTxhkZGSQkJJCWlsZbb73FqlWrbjpvx44dadiwIeHh4XzzzTfs3buXAQMG0KZNG+MFap6envzwww8kJyfz66+/kpeXR8eOHQkODqZHjx588cUXpKens2vXLiZOnMj+/ftLtScnJyeio6N58cUXWbJkCWlpaXzzzTe8/fbbLFmypNgxvr6+hIaG8uyzz7Jnzx4OHDhAZGTkDU9Qh4eHY2try8CBA/n222/ZunUrzz//PP379y9VuQgANzc3AgMD2blzp0X76dOnSU5O5siRI8Dl5HRycjI///yzRb8dO3bw2GOPlWotERERERERkXuVEsIiInfRpEmTGD16NJMnT8bPz48+ffoY9Xi7devGiy++SFRUFAEBAezatYtJkybddE6TycSaNWuoWLEirVu3pmPHjtSuXZsVK1YYfZ544glCQ0Np164dbm5ufPTRR5hMJjZs2EDr1q0ZNGgQPj4+9O3bl5MnT5Y6yQowZcoUJk2axPTp0/Hz8yM0NJT169fj5eVV4pj4+HiqVatGmzZt6NWrF88888wNX/Zmb2/P5s2bOX36NM2aNePJJ5+kQ4cOzJs3r9RxAkRGRrJ8+XKLtrVr19KkSRM6d758aq5v3740adKEd955x+ize/dusrOzefLJJ29pPREREREREZF7jamoqKiorIMQERG5G/744w98fX1ZsWIFwcHBpR7Xp08fGjduzMsvv1zqMTk5Obi4uJCdnX3diwFFRERERERE7rTS/h6qE8IiIvKPYWdnx9KlS/n1119LPebixYs0bNiQF1988S+MTEREREREROTuUEJYRKQU2rZty6hRo8o6DLlF6enpmEwmkpOTjba2bdvStWtX49psNuPq6lriHNbW1rzyyis3rHEsIiIiIiIicr9QQlhE5C64WdLxfuHp6cmcOXPKOoxiRURE0KNHj1se16dPH44dO3bnAxIRERERERG5B5Uv6wBEROSvdfHiRaytrcs6jHuWnZ2dTv/KLfEcv76sQxC5bekzOpd1CCIiIiJSxnRCWESklC5dukRUVBQuLi488MADTJo0iSvv5czLyyM6Oprq1avj4ODAQw89RGJiIgCJiYkMGjSI7OxsTCYTJpOJmJgYAJYtW0ZQUBBOTk5UrVqVfv36kZWVddNYkpKSaNu2Lfb29lSsWJGQkBDOnDkDXC6JEBUVxahRo3jggQcICQlh8ODBdOnSxWKO/Px8qlSpwnvvvWcxrqQ9tm3blpMnT/Liiy8a+7jis88+w9/fHxsbGzw9PZk9e7ZxLy4ujmrVqvHbb78ZbZ07d6Zdu3YUFhYC8K9//YuGDRvi4OCAh4cHw4cPJzc31+h/5YT15s2b8fPzw9HRkdDQUDIzMwGIiYlhyZIlrFmzxojtyvMH+P7772nXrh329vY0btyY3bt3Xzf3FTExMQQEBLBs2TI8PT1xcXGhb9++/P777zf9XkRERERERETudUoIi4iU0pIlSyhfvjx79+5l7ty5/Otf/2Lx4sUAREVFsXv3bhISEjh06BC9e/cmNDSU48eP07JlS+bMmYOzszOZmZlkZmYSHR0NXE7KTpkyhZSUFFavXk16ejoRERE3jCM5OZkOHTpQv359du/ezc6dO+natSsFBQUWsVpbW5OUlMQ777xDZGQkmzZtMhKoAOvWreP8+fP06dOnVHtcuXIlNWrUIC4uztgHwIEDBwgLC6Nv374cPnyYmJgYJk2ahNlsBmDixIl4enoSGRkJwL///W927drFkiVLKFfu8h9D5cqV46233uI///kPS5Ys4f/+7/8YO3asxb7Pnz/PrFmzWLZsGdu3bycjI8N4jtHR0YSFhRlJ4szMTFq2bGmMnThxItHR0SQnJ+Pj48NTTz3FpUuXSnzGaWlprF69mnXr1rFu3Tq2bdvGjBkzbvi9iIiIiIiIiNwPVDJCRKSUPDw8ePPNNzGZTPj6+nL48GHefPNNQkJCiI+PJyMjg2rVqgGXE5SbNm0iPj6eadOm4eLigslkomrVqhZzDh482Pi5du3avPXWWzRr1ozc3FwcHR2LjeP1118nKCiI+fPnG23+/v4Wfby9vXn99dct2nx9fVm2bJmRaI2Pj6d3794W65S0x6FDh1KpUiWsrKyM08xX/Otf/6JDhw5MmjQJAB8fH44cOcIbb7xBREQEVlZWfPDBBwQEBDB+/HjeeustFi9eTM2aNY05rn5hn6enJ6+99hrDhg2z2GN+fj7vvPMOderUAS4n4ePi4gBwdHTEzs6OvLy8654xXP4+One+/M+kY2Nj8ff358SJE9SrV6/YZ1xYWIjZbMbJyQmA/v37s2XLFqZOnVpsf7h8SjwvL8+4zsnJKbGviIiIiIiISFnRCWERkVJq0aKFRZmE4OBgjh8/zuHDhykoKMDHxwdHR0fjs23bNtLS0m4454EDB+jatSs1a9bEycmJNm3aAJCRkQFcTvReme/xxx8H/t8J4Rtp2rTpdW2RkZHEx8cD8L///Y+NGzdaJKRvtMerTx9fKzU1lVatWlm0tWrVymJc7dq1mTVrFjNnzqRbt27069fPov9XX31Fhw4dqF69Ok5OTvTv35/ffvuN8+fPG33s7e2NZDCAu7t7qcprADRq1MhiHHDDsZ6enkYyuLRrTZ8+HRcXF+Pj4eFRqthERERERERE7iadEBYR+ZNyc3OxsrLiwIEDWFlZWdwr6ZQvwLlz5wgJCSEkJITly5fj5uZGRkYGISEhXLx4EYANGzaQn58PYLz4rDQvQHNwcLiubcCAAYwfP57du3eza9cuvLy8eOSRR0q9zz9r+/btWFlZkZ6ezqVLlyhf/vIfQenp6XTp0oXnnnuOqVOnUqlSJXbu3MmQIUO4ePEi9vb2AFSoUMFiPpPJZNQ3vpmrx15JeF+pX3yz/lfG3Kg/wIQJE3jppZeM65ycHCWFRURERERE5J6jhLCISCnt2bPH4vrrr7/G29ubJk2aUFBQQFZWVokJVmtr6+tO2X733Xf89ttvzJgxw0gc7t+/36JPrVq1rpurUaNGbNmyhdjY2FuKv3LlyvTo0YP4+Hh2797NoEGDSr3HK4nu4vbh5+dHUlKSRVtSUhI+Pj7GuBUrVrBy5UoSExMJCwtjypQpRvwHDhygsLCQ2bNnGzWFP/7441vaW0mx3U02NjbY2NiU2foiIiIiIiIipaGEsIhIKWVkZPDSSy/x7LPP8s033/D2228ze/ZsfHx8CA8PZ8CAAcyePZsmTZrwyy+/sGXLFho1akTnzp3x9PQkNzeXLVu20LhxY+zt7alZsybW1ta8/fbbDBs2jG+//ZYpU6bcNI4JEybQsGFDhg8fzrBhw7C2tmbr1q307t2bBx544IZjIyMj6dKlCwUFBQwcOLDUe7zC09OT7du307dvX2xsbHjggQcYPXo0zZo1Y8qUKfTp04fdu3czb948o/7vf//7X5577jlmzpzJww8/THx8PF26dOHxxx+nRYsW1K1bl/z8fN5++226du1qvAjvVnl6erJ582aOHj1K5cqVcXFxueU5REojfUbnsg5BRERERETktqmGsIhIKQ0YMIA//viD5s2bM2LECF544QWeeeYZ4PIL2gYMGMDo0aPx9fWlR48e7Nu3z3hxWsuWLRk2bBh9+vTBzc2N119/HTc3N8xmM5988gn169dnxowZzJo166Zx+Pj48MUXX5CSkkLz5s0JDg5mzZo1RgmGG+nYsSPu7u6EhIQYL8Ar7R4B4uLiSE9Pp06dOri5uQEQGBjIxx9/TEJCAg0aNGDy5MnExcURERFBUVERERERNG/enKioKABCQkJ47rnnePrpp8nNzaVx48b861//YubMmTRo0IDly5czffr0m38h1xg6dCi+vr4EBQXh5uZ23allEREREREREQFTUWkLMIqIyH0vNzeX6tWrEx8fT69evSzutW3bloCAAObMmVM2wf3N5OTk4OLiQnZ2Ns7OzmUdjoiIiIiIiPzNlfb3UJWMEBH5BygsLOTXX39l9uzZuLq60q1bt7IOSURERERERETKgBLCIiL/ABkZGXh5eVGjRg3MZnOpykuIiIiIiIiIyN+PMgIiIv8Anp6e3KxCUGJi4i3NqRITIiIiIiIiIvcfvVRORET+sdLT0zGZTCQnJ5d1KCIiIiIiIiJ3hU4Ii4iIiIj8Q3iOX1/WIfwjpM/oXNYhiIiIiJRIJ4RFROS2Xbp0iaioKFxcXHjggQeYNGmSUZoiLy+P6OhoqlevjoODAw899JBFWQqz2YyrqyubN2/Gz88PR0dHQkNDyczMNPqYTKbrPp6ensb9bdu20bx5c2xsbHB3d2f8+PFcunTJuL9p0yYefvhhXF1dqVy5Ml26dCEtLc247+XlBUCTJk0wmUy0bdvWuLd48WL8/PywtbWlXr16zJ8//w4/PREREREREZG7TwlhERG5bUuWLKF8+fLs3buXuXPn8q9//YvFixcDEBUVxe7du0lISODQoUP07t2b0NBQjh8/bow/f/48s2bNYtmyZWzfvp2MjAyio6ON+5mZmcbnxIkT1K1bl9atWwPw448/0qlTJ5o1a0ZKSgoLFizgvffe47XXXjPGnzt3jpdeeon9+/ezZcsWypUrR8+ePSksLARg7969AHz11VdkZmaycuVKAJYvX87kyZOZOnUqqampTJs2jUmTJrFkyZK/9oGKiIiIiIiI/MVMRTd7y5CIiEgx2rZtS1ZWFv/5z38wmUwAjB8/nrVr17Jp0yZq165NRkYG1apVM8Z07NiR5s2bM23aNMxmM4MGDeLEiRPUqVMHgPnz5xMXF8fPP/9ssVZRURFPPPEEGRkZ7NixAzs7OyZOnMhnn31Gamqqsf78+fMZN24c2dnZlCt3/d95/vrrr7i5uXH48GEaNGhAeno6Xl5eHDx4kICAAKNf3bp1mTJlCk899ZTR9tprr7FhwwZ27dpV7PPIy8sjLy/PuM7JycHDw4Ps7GycnZ1v8emKiPw1VDLi7lDJCBERESkLOTk5uLi43PT3UJ0QFhGR29aiRQsjGQsQHBzM8ePHOXz4MAUFBfj4+ODo6Gh8tm3bZlGywd7e3kgGA7i7u5OVlXXdOi+//DK7d+9mzZo12NnZAZCamkpwcLDF+q1atSI3N5f//ve/ABw/fpynnnqK2rVr4+zsbJSbyMjIKHFP586dIy0tjSFDhljE/tprr1nEfq3p06fj4uJifDw8PG7y9ERERERERETuPr1UTkRE7rjc3FysrKw4cOAAVlZWFvccHR2NnytUqGBxz2Qyce0/XPnggw948803SUxMpHr16rcUR9euXalVqxaLFi2iWrVqFBYW0qBBAy5evHjD2AEWLVrEQw89ZHHv2r1cbcKECbz00kvG9ZUTwiIiIiIiIiL3EiWERUTktu3Zs8fi+uuvv8bb25smTZpQUFBAVlYWjzzyyG3Pv3v3biIjI1m4cCEtWrSwuOfn58dnn31GUVGRcUo4KSkJJycnatSowW+//cbRo0dZtGiREcPOnTst5rC2tgagoKDAaHvwwQepVq0a33//PeHh4aWO1cbGBhsbm9vap4iIiIiIiMjdooSwiIjctoyMDF566SWeffZZvvnmG95++21mz56Nj48P4eHhDBgwgNmzZ9OkSRN++eUXtmzZQqNGjejc+ea1FX/++Wd69uxJ3759CQkJMeoKW1lZ4ebmxvDhw5kzZw7PP/88UVFRHD16lFdffZWXXnqJcuXKUbFiRSpXrsy7776Lu7s7GRkZjB8/3mKNKlWqYGdnx6ZNm6hRowa2tra4uLgQGxvLyJEjcXFxITQ0lLy8PPbv38+ZM2csTgGLiNxvVNtWRERERFRDWEREbtuAAQP4448/aN68OSNGjOCFF17gmWeeASA+Pp4BAwYwevRofH196dGjB/v27aNmzZqlmvu7777jf//7H0uWLMHd3d34NGvWDIDq1auzYcMG9u7dS+PGjRk2bBhDhgzhlVdeAaBcuXIkJCRw4MABGjRowIsvvsgbb7xhsUb58uV56623WLhwIdWqVaN79+4AREZGsnjxYuLj42nYsCFt2rTBbDbj5eV1px6diIiIiIiISJkwFV1brFFERET+tNK+3VVERERERETkTijt76E6ISwiIiIiIiIiIiLyD6GEsIiIiIiIiIiIiMg/hBLCIvK3ZzKZWL169X0zb1nEYTabcXV1vevr/hnFxfzuu+/i4eFBuXLlmDNnTpnEJSIiIiIiInIvU0JYRO4rP/74I08//TSVK1fGzs6Ohg0bsn///rIOq0xlZmby+OOPl3UYZS4nJ4eoqCjGjRvHjz/+aLzc7mY8PT2VPBYREREREZF/jPJlHYCISGmdOXOGVq1a0a5dOzZu3IibmxvHjx+nYsWKZR1asfLz86lQocJfvk7VqlX/8jXuBxkZGeTn59O5c2fc3d3LOhwRkXuS5/j1ZR2ClCB9RueyDkFERET+IXRCWETuGzNnzsTDw4P4+HiaN2+Ol5cXjz32GHXq1Lnp2F9//ZWePXtib2+Pt7c3a9euBaCoqIi6desya9Ysi/7JycmYTCZOnDgBwPHjx2ndujW2trbUr1+fL7/80qJ/eno6JpOJFStW0KZNG2xtbVm+fDmFhYXExcVRo0YNbGxsCAgIYNOmTcbaHTt2JCQkhKKiIgBOnz5NjRo1mDx5cqlju7p0w5U4Vq5cSbt27bC3t6dx48bs3r3bYg6z2UzNmjWxt7enZ8+e/Pbbb9c9swULFlCnTh2sra3x9fVl2bJlN3zGp06dIiwsDFdXVypVqkT37t1JT08vsf+ZM2cIDw/Hzc0NOzs7vL29iY+PByAxMRGTycTZs2ev23dxc5rNZho2bAhA7dq1jX5paWl0796dBx98EEdHR5o1a8ZXX31ljGvbti0nT57kxRdfxGQyYTKZjHs7d+7kkUcewc7ODg8PD0aOHMm5c+du+AxERERERERE7nVKCIvIfWPt2rUEBQXRu3dvqlSpQpMmTVi0aFGpxsbGxhIWFsahQ4fo1KkT4eHhnD59GpPJxODBg41E5BXx8fG0bt2aunXrUlhYSK9evbC2tmbPnj288847jBs3rth1xo8fzwsvvEBqaiohISHMnTuX2bNnM2vWLA4dOkRISAjdunXj+PHjmEwmlixZwr59+3jrrbcAGDZsGNWrV2fy5Mmliq0kEydOJDo6muTkZHx8fHjqqae4dOkSAHv27GHIkCFERUWRnJxMu3bteO211yzGr1q1ihdeeIHRo0fz7bff8uyzzzJo0CC2bt1a7Hr5+fmEhITg5OTEjh07SEpKwtHRkdDQUC5evFjsmEmTJnHkyBE2btxIamoqCxYs4IEHHihxTzfSp08fI9G7d+9eMjMz8fDwIDc3l06dOrFlyxYOHjxIaGgoXbt2JSMjA4CVK1dSo0YN4uLiyMzMJDMzE4C0tDRCQ0N54oknOHToECtWrGDnzp1ERUWVGENeXh45OTkWHxEREREREZF7jRLCInLf+P7771mwYAHe3t5s3ryZ5557jpEjR7JkyZKbjo2IiOCpp56ibt26TJs2jdzcXPbu3WvcO3r0qHGdn5/Phx9+yODBgwH46quv+O6771i6dCmNGzemdevWTJs2rdh1Ro0aRa9evfDy8sLd3Z1Zs2Yxbtw4+vbti6+vLzNnziQgIMCoWVu9enUWLlzI+PHjmTBhAhs2bOCDDz6gfPnypYqtJNHR0XTu3BkfHx9iY2M5efKkcaJ47ty5hIaGMnbsWHx8fBg5ciQhISEW42fNmkVERATDhw/Hx8eHl156iV69el13WvmKFStWUFhYyOLFi2nYsCF+fn7Ex8eTkZFBYmJisWMyMjJo0qQJQUFBeHp60rFjR7p27XrDfZXEzs6OypUrA+Dm5kbVqlWxsrKicePGPPvsszRo0ABvb2+mTJlCnTp1jBPilSpVwsrKCicnJ6pWrWqU35g+fTrh4eGMGjUKb29vWrZsyVtvvcXSpUu5cOFCsTFMnz4dFxcX4+Ph4XFbexERERERERH5KykhLCL3jcLCQgIDA5k2bRpNmjThmWeeYejQobzzzjsATJs2DUdHR+Nz5RQoQKNGjYyfHRwccHZ2JisrC4Bq1arRuXNn3n//fQA+//xz8vLy6N27NwCpqal4eHhQrVo1Y47g4OBiYwwKCjJ+zsnJ4aeffqJVq1YWfVq1akVqaqpx3bt3b3r27MmMGTOYNWsW3t7exr2bxVaSq/d7pZ7ulf2mpqby0EMPWfS/dj+pqak3jftqKSkpnDhxAicnJ+P5V6pUiQsXLpCWllbsmOeee46EhAQCAgIYO3Ysu3btuuGebkdubi7R0dH4+fnh6uqKo6MjqampFv9tlLQfs9ls8d9TSEgIhYWF/PDDD8WOmTBhAtnZ2cbn1KlTd3w/IiIiIiIiIn+WXionIvcNd3d36tevb9Hm5+fHZ599BlwutxAWFmbcuzqBe+3L3UwmE4WFhcZ1ZGQk/fv358033yQ+Pp4+ffpgb29/yzE6ODjc8pjz589z4MABrKysOH78+HX3bye2q/d7pS7u1fu903Jzc2natCnLly+/7p6bm1uxYx5//HFOnjzJhg0b+PLLL+nQoQMjRoxg1qxZlCt3+e8rr9RWhsuno29VdHQ0X375JbNmzaJu3brY2dnx5JNPlljG4ur9PPvss4wcOfK6ezVr1ix2jI2NDTY2Nrcco4iIiIiIiMjdpISwiNw3WrVqxdGjRy3ajh07Rq1atYDL//y/UqVKtzV3p06dcHBwYMGCBWzatInt27cb9/z8/Dh16hSZmZnGaduvv/76pnM6OztTrVo1kpKSaNOmjdGelJRE8+bNjevRo0dTrlw5Nm7cSKdOnejcuTPt27cvVWy3w8/Pjz179li0XbsfPz8/kpKSGDhwoEXc1ybkrwgMDGTFihVUqVIFZ2fnUsfi5ubGwIEDGThwII888ghjxoxh1qxZRhI5MzOTihUrApdfKnerkpKSiIiIoGfPnsDlRO+1L6WztramoKDguv0cOXLkhnWaRURERERERO5HSgiLyH3jxRdfpGXLlkybNo2wsDD27t3Lu+++y7vvvvun57aysiIiIoIJEybg7e1tUUKhY8eO+Pj4MHDgQN544w1ycnKYOHFiqeYdM2YMr776KnXq1CEgIID4+HiSk5ONk7Tr16/n/fffZ/fu3QQGBjJmzBgGDhzIoUOHjETojWK7HSNHjqRVq1bMmjWL7t27s3nzZjZt2nRd3GFhYTRp0oSOHTvy+eefs3LlSuPFbdcKDw/njTfeoHv37sTFxVGjRg1OnjzJypUrGTt2LDVq1LhuzOTJk2natCn+/v7k5eWxbt06/Pz8AKhbty4eHh7ExMQwdepUjh07xuzZs295r97e3qxcuZKuXbtiMpmYNGnSdSelPT092b59O3379sXGxoYHHniAcePG0aJFC6KiooiMjMTBwYEjR47w5ZdfMm/evFuOQ0TkXpE+o3NZhyAiIiIiZUw1hEXkvtGsWTNWrVrFRx99RIMGDZgyZQpz5swhPDz8jsw/ZMgQLl68yKBBgyzay5Urx6pVq/jjjz9o3rw5kZGRTJ06tVRzjhw5kpdeeonRo0fTsGFDNm3axNq1a/H29uaXX35hyJAhxMTEEBgYCEBsbCwPPvggw4YNK1Vst6NFixYsWrSIuXPn0rhxY7744gteeeUViz49evRg7ty5zJo1C39/fxYuXEh8fDxt27Ytdk57e3u2b99OzZo16dWrF35+fgwZMoQLFy6UeGLY2tqaCRMm0KhRI1q3bo2VlRUJCQnA5ZIXH330Ed999x2NGjVi5syZvPbaa7e813/9619UrFiRli1b0rVrV0JCQoxnfUVcXBzp6enUqVPHOJncqFEjtm3bxrFjx3jkkUdo0qQJkydPtihDIiIiIiIiInI/MhVdXaBRROQfbMeOHXTo0IFTp07x4IMPlnU4Fu7l2KR4OTk5uLi4kJ2dfUtlNERERERERERuR2l/D1XJCBH5x8vLy+OXX34hJiaG3r1731MJ13s5NhERERERERG5/6hkhIj843300UfUqlWLs2fP8vrrr5d1OBbu5dhERERERERE5P6jhLCI/ONFRERQUFDAgQMHqF69+m3Pk5iYiMlk4uzZs3cuOMDJyemWYouIiKBHjx53NIbbkZ6ejslkIjk5+S9bw2QysXr1auP6u+++o0WLFtja2hIQEPCXrSsiIiIiIiJyv1JCWET+8WbMmIHJZGLUqFF/ap6WLVuSmZmJi4vLnQlMbtmrr76Kg4MDR48eZcuWLaUaExMTo+SxiIiIiIiI/GOohrCI/KPt27ePhQsX0qhRoz89l7W1NVWrVr0DUcntSktLo3PnztSqVausQxERuSd5jl9/R+dLn9H5js4nIiIiIn89nRAWkX+s3NxcwsPDWbRoERUrVrxh32PHjmEymfjuu+8s2t98803q1KkDXF8ywmw24+rqyubNm/Hz88PR0ZHQ0FAyMzMB2L59OxUqVODnn3+2mHPUqFE88sgjxcZx5TTrwoUL8fDwwN7enrCwMLKzs6/rO2vWLNzd3alcuTIjRowgPz/fuJeXl0d0dDTVq1fHwcGBhx56iMTEROP+zWIHKCwsJC4ujho1amBjY0NAQACbNm264XO81vz58/H29sbW1pYHH3yQJ5980rjn6enJnDlzLPoHBAQQExNT7Fwmk4kDBw4QFxeHyWQy+o0bNw4fHx/s7e2pXbs2kyZNMp6F2WwmNjaWlJQUTCYTJpMJs9kMwNmzZ4mMjMTNzQ1nZ2fat29PSkrKLe1PRERERERE5F6jhLCI/GONGDGCzp0707Fjx5v29fHxISgoiOXLl1u0L1++nH79+pU47vz588yaNYtly5axfft2MjIyiI6OBqB169bUrl2bZcuWGf3z8/NZvnw5gwcPLnHOEydO8PHHH/P555+zadMmDh48yPDhwy36bN26lbS0NLZu3cqSJUswm81GohMgKiqK3bt3k5CQwKFDh+jduzehoaEcP368VLEDzJ07l9mzZzNr1iwOHTpESEgI3bp1s5jjRvbv38/IkSOJi4vj6NGjbNq0idatW5dqbHEyMzPx9/dn9OjRZGZmGrE6OTlhNps5cuQIc+fOZdGiRbz55psA9OnTh9GjR+Pv709mZiaZmZn06dMHgN69e5OVlcXGjRs5cOAAgYGBdOjQgdOnTxe7fl5eHjk5ORYfERERERERkXuNEsIi8o+UkJDAN998w/Tp00s9Jjw8nI8++si4PnbsGAcOHCA8PLzEMfn5+bzzzjsEBQURGBhIVFSURW3bIUOGEB8fb1x//vnnXLhwgbCwsBLnvHDhAkuXLiUgIIDWrVvz9ttvk5CQYHHSuGLFisybN4969erRpUsXOnfubKybkZFBfHw8n3zyCY888gh16tQhOjqahx9+2CKWm8U+a9Ysxo0bR9++ffH19WXmzJkEBARcd6q3JBkZGTg4ONClSxdq1apFkyZNGDlyZKnGFqdq1aqUL18eR0dHqlatiqOjIwCvvPIKLVu2xNPTk65duxIdHc3HH38MgJ2dHY6OjpQvX56qVatStWpV7Ozs2LlzJ3v37uWTTz4hKCgIb29vZs2ahaurK59++mmx60+fPh0XFxfj4+Hhcdt7EREREREREfmrKCEsIv84p06d4oUXXmD58uXY2toW22fYsGE4OjoaH4C+ffuSnp7O119/DVw+HRwYGEi9evVKXMve3t4oKQHg7u5OVlaWcR0REcGJEyeMOc1mM2FhYTg4OJQ4Z82aNalevbpxHRwcTGFhIUePHjXa/P39sbKyKnbdw4cPU1BQgI+Pj8Uet23bRlpaWqliz8nJ4aeffqJVq1YWsbVq1YrU1NQSY7/ao48+Sq1atahduzb9+/dn+fLlnD9/vlRjb8WKFSto1aqVkSR+5ZVXyMjIuOGYlJQUcnNzqVy5ssUz+uGHHyye0dUmTJhAdna28Tl16tQd34uIiIiIiIjIn6WXyonIP86BAwfIysoiMDDQaCsoKGD79u3MmzePvLw84uLiLMojwOUTqO3bt+fDDz+kRYsWfPjhhzz33HM3XKtChQoW1yaTiaKiIuO6SpUqdO3alfj4eLy8vNi4caNFLd/bVdy6hYWFwOXayVZWVhw4cMAiaQwYye/SxP5nOTk58c0335CYmMgXX3zB5MmTiYmJYd++fbi6ulKuXLnr1ru6DnJp7N69m/DwcGJjYwkJCcHFxYWEhARmz559w3G5ubm4u7sX+124uroWO8bGxgYbG5tbik9ERERERETkblNCWET+cTp06MDhw4ct2gYNGkS9evUYN24cVlZWVKlShSpVqlw3Njw8nLFjx/LUU0/x/fff07dv3z8dT2RkJE899RQ1atSgTp061526vVZGRgY//fQT1apVA+Drr7+mXLly+Pr6lmq9Jk2aUFBQQFZWVokvr7sZZ2dnqlWrRlJSEm3atDHak5KSaN68eannKV++PB07dqRjx468+uqruLq68n//93/06tULNzc3i5fY5eTk8MMPP9xSnLt27aJWrVpMnDjRaDt58qRFH2trawoKCizaAgMD+fnnnylfvjyenp63tKaIiIiIiIjIvUwJYRH5x3FycqJBgwYWbQ4ODlSuXPm69mv16tWL5557jueee4527doZSdk/IyQkBGdnZ1577TXi4uJu2t/W1paBAwcya9YscnJyGDlyJGFhYVStWrVU6/n4+BAeHs6AAQOYPXs2TZo04ZdffmHLli00atSIzp07l2qeMWPG8Oqrr1KnTh0CAgKIj48nOTn5uhfvlWTdunV8//33tG7dmooVK7JhwwYKCwuNxHb79u0xm8107doVV1dXJk+efN2J5pvx9vYmIyODhIQEmjVrxvr161m1apVFH09PT3744QeSk5OpUaMGTk5OdOzYkeDgYHr06MHrr7+Oj48PP/30E+vXr6dnz54EBQXdUhwiIveK9Bml+3+8iIiIiPx9qYawiMgtcHJyomvXrqSkpNzwZXK3oly5ckRERFBQUMCAAQNu2r9u3br06tWLTp068dhjj9GoUSPmz59/S2vGx8czYMAARo8eja+vLz169GDfvn3UrFmz1HOMHDmSl156idGjR9OwYUM2bdrE2rVr8fb2LtV4V1dXVq5cSfv27fHz8+Odd97ho48+wt/fH7hck7dNmzbGS/F69OhhUdO4NLp168aLL75IVFQUAQEB7Nq1i0mTJln0eeKJJwgNDaVdu3a4ubnx0UcfYTKZ2LBhA61bt2bQoEH4+PjQt29fTp48yYMPPnhLMYiIiIiIiIjcS0xFd7IgpIiI3JYhQ4bwyy+/sHbt2hv2i4mJYfXq1SQnJ9+dwOS25eTk4OLiQnZ2Ns7OzmUdjoiIiIiIiPzNlfb3UJWMEBEpQ9nZ2Rw+fJgPP/zwpslgEREREREREZE/SwlhEZEy1L17d/bu3cuwYcN49NFHyzocEREREREREfmbUw1hEZFSioiIoEePHnd0jsTERM6fP8+bb75ZqvExMTF3pVyEp6cnc+bM+VNz3InndSMxMTEEBARc1/bggw9iMplYvXr1X7a2iIiIiIiIyP1KCWERuefMmDEDk8nEqFGjymT99PR0TCbTfVGnt7ik6D9VamoqsbGxLFy4kMzMTB5//PFSjVPyWERERERERP5JVDJCRO4p+/btY+HChTRq1KisQ5H7TFpaGnC5DIfJZCrjaETkfuY5fn1Zh/CXSZ/RuaxDEBEREZEyphPCInLPyM3NJTw8nEWLFlGxYsWb9r9ykvfjjz/mkUcewc7OjmbNmnHs2DH27dtHUFAQjo6OPP744/zyyy8WYxcvXoyfnx+2trbUq1eP+fPnG/e8vLwAaNKkCSaTibZt21qMnTVrFu7u7lSuXJkRI0aQn58PQFxcHA0aNLguzoCAACZNmlTsHgoLC3n99depW7cuNjY21KxZk6lTpxr3x40bh4+PD/b29tSuXZtJkyYZ65nNZmJjY0lJScFkMmEymTCbzQCcPXuWyMhI3NzccHZ2pn379qSkpFis/fnnn9OsWTNsbW154IEH6Nmzp8X98+fPM3jwYJycnKhZsybvvvuuxf3Dhw/Tvn177OzsqFy5Ms888wy5ubnF7rM4J0+epGvXrlSsWBEHBwf8/f3ZsGGDsTdXV1eL/qtXry4x0RsTE0PXrl0BKFeunNFv3759PProozzwwAO4uLjQpk0bvvnmG2Ocp6cnAD179sRkMhnXAGvWrCEwMBBbW1tq165NbGwsly5dKvX+RERERERERO5FSgiLyD1jxIgRdO7cmY4dO97SuFdffZVXXnmFb775hvLly9OvXz/Gjh3L3Llz2bFjBydOnGDy5MlG/+XLlzN58mSmTp1Kamoq06ZNY9KkSSxZsgSAvXv3AvDVV1+RmZnJypUrjbFbt24lLS2NrVu3smTJEsxms5GEHTx4MKmpqezbt8/of/DgQQ4dOsSgQYOKjX3ChAnMmDGDSZMmceTIET788EMefPBB476TkxNms5kjR44wd+5cFi1aZNQb7tOnD6NHj8bf35/MzEwyMzPp06cPAL179yYrK4uNGzdy4MABAgMD6dChA6dPnwZg/fr19OzZk06dOnHw4EG2bNlC8+bNLWKbPXs2QUFBHDx4kOHDh/Pcc89x9OhRAM6dO0dISAgVK1Zk3759fPLJJ3z11VdERUWV+nsbMWIEeXl5bN++ncOHDzNz5kwcHR1LPf5q0dHRxMfHAxjPAuD3339n4MCB7Ny5k6+//hpvb286derE77//DmB8V/Hx8WRmZhrXO3bsYMCAAbzwwgscOXKEhQsXYjabLZL118rLyyMnJ8fiIyIiIiIiInKvUckIEbknJCQk8M0331gkU0srOjqakJAQAF544QWeeuoptmzZQqtWrQAYMmSIkbSFywnk2bNn06tXL+DyieArSb+BAwfi5uYGQOXKlalatarFWhUrVmTevHlYWVlRr149OnfuzJYtWxg6dCg1atQgJCSE+Ph4mjVrBlxONLZp04batWtfF/fvv//O3LlzmTdvHgMHDgSgTp06PPzww0afV155xfjZ09OT6OhoEhISGDt2LHZ2djg6OlK+fHmLOHfu3MnevXvJysrCxsYGuHyqefXq1Xz66ac888wzTJ06lb59+xIbG2uMa9y4sUV8nTp1Yvjw4cDlk8pvvvkmW7duxdfXlw8//JALFy6wdOlSHBwcAJg3bx5du3Zl5syZFkntkmRkZPDEE0/QsGFDgGKfUWk5OjoaJ4qvfhbt27e36Pfuu+/i6urKtm3b6NKli/Fdu7q6WoyLjY1l/PjxxvdSu3ZtpkyZwtixY3n11VeLjWH69OkWz1NERERERETkXqQTwiJS5k6dOsULL7zA8uXLsbW1LbbPsGHDcHR0ND5Xu7re8JVE5JUk45W2rKws4PLJ1rS0NIYMGWIx32uvvWbUoL0Rf39/rKysjGt3d3djboChQ4fy0UcfceHCBS5evMiHH37I4MGDi50rNTWVvLw8OnToUOJ6K1asoFWrVlStWhVHR0deeeUVMjIybhhjSkoKubm5VK5c2WKPP/zwg7HH5OTkG64Lls/VZDJRtWpVY6+pqak0btzYSAYDtGrVisLCQuMU8c2MHDmS1157jVatWvHqq69y6NChUo27Ff/73/8YOnQo3t7euLi44OzsTG5ubqmeYVxcnMXzGzp0KJmZmZw/f77YMRMmTCA7O9v4nDp16o7vR0REREREROTP0glhESlzBw4cICsri8DAQKOtoKCA7du3M2/ePPLy8oiLiyM6OrrY8RUqVDB+vlI79tq2wsJCAKPG7aJFi3jooYcs5rk60VuSq+e9dm6Arl27YmNjw6pVq7C2tiY/P58nn3yy2Lns7OxuuNbu3bsJDw8nNjaWkJAQXFxcSEhIYPbs2Tccl5ubi7u7O4mJidfdu3KK9mZrw833+mdFRkYSEhLC+vXr+eKLL5g+fTqzZ8/m+eefp1y5chQVFVn0v1I7+VYMHDiQ3377jblz51KrVi1sbGwIDg7m4sWLNxyXm5tLbGyscYr8aiX9pYWNjY1xIltERERERETkXqWEsIiUuQ4dOnD48GGLtkGDBlGvXj3GjRuHlZUVVapUoUqVKn96rQcffJBq1arx/fffEx4eXmwfa2tr4HJS+laVL1+egQMHEh8fj7W1NX379i0x+ert7Y2dnR1btmwhMjLyuvu7du2iVq1aTJw40Wg7efLkdbFeG2dgYCA///wz5cuXt3hJ2tUaNWrEli1bSqxtfDN+fn6YzWbOnTtnnBJOSkqiXLly+Pr6lnoeDw8Phg0bxrBhw5gwYQKLFi3i+eefx83Njd9//91i/uTk5FuOMykpifnz59OpUyfg8mn0X3/91aJPhQoVin2GR48epW7dure8poiIiIiIiMi9TAlhESlzTk5ONGjQwKLNwcGBypUrX9d+J8TGxjJy5EhcXFwIDQ0lLy+P/fv3c+bMGV566SWqVKmCnZ0dmzZtokaNGtja2uLi4lLq+SMjI/Hz8wMuJyRLYmtry7hx4xg7dizW1ta0atWKX375hf/85z8MGTIEb29vMjIySEhIoFmzZqxfv55Vq1ZZzOHp6ckPP/xAcnIyNWrUwMnJiY4dOxIcHEyPHj14/fXX8fHx4aeffjJeJBcUFMSrr75Khw4dqFOnDn379uXSpUts2LCBcePGlWqP4eHhvPrqqwwcOJCYmBh++eUXnn/+efr371+q+sEAo0aN4vHHH8fHx4czZ86wdetW47k99NBD2Nvb8/LLLzNy5Ej27NljUQe6tLy9vVm2bBlBQUHk5OQwZsyY6xL0np6eRs1pGxsbKlasyOTJk+nSpQs1a9bkySefpFy5cqSkpPDtt9/y2muv3XIcInJ/SZ/RuaxDEBERERH5y6iGsIj840RGRrJ48WLi4+Np2LAhbdq0wWw24+XlBVw+5fvWW2+xcOFCqlWrRvfu3W9pfm9vb1q2bEm9evWuK0txrUmTJjF69GgmT56Mn58fffr0Mer0duvWjRdffJGoqCgCAgLYtWsXkyZNshj/xBNPEBoaSrt27XBzc+Ojjz7CZDKxYcMGWrduzaBBg/Dx8aFv376cPHnSSNa2bduWTz75hLVr1xIQEED79u3Zu3dvqfdob2/P5s2bOX36NM2aNePJJ5+kQ4cOzJs3r9RzFBQUMGLECPz8/AgNDcXHx4f58+cDUKlSJT744AM2bNhAw4YN+eijj4iJiSn13Fe89957nDlzhsDAQPr378/IkSOvO2k+e/ZsvvzySzw8PGjSpAkAISEhrFu3ji+++IJmzZrRokUL3nzzTWrVqnXLMYiIiIiIiIjcS0xF1xZpFBGRP6WoqAhvb2+GDx/OSy+9VNbhSBnJycnBxcWF7OxsnJ2dyzocERERERER+Zsr7e+hKhkhInIH/fLLLyQkJPDzzz/fdn1eEREREREREZG/ihLCIiJ3UJUqVXjggQd49913qVixYlmHIyIiIiIiIiJiQTWERUTugPT0dEwmEwcPHuSXX36hX79+d3Te5OTkOzLfXxmH2WzG1dX1rsUkIiIiIiIiIrdOCWERkZuYMWMGJpOJUaNGlXUo97Q+ffpw7Nixsg7jlkRERNCjR4+yDkNERERERETkrlHJCBGRG9i3bx8LFy6kUaNGZR1KsYqKiigoKKB8+bL/37mdnR12dnZlHQYA+fn5VKhQoazDEJE7wHP8+rIO4W8lfUbnsg5BRERERMqYTgiLiJQgNzeX8PBwFi1aVOp6wN9//z3t2rXD3t6exo0bs3v3bgDOnTuHs7Mzn376qUX/1atX4+DgwO+//w7A3r17adKkCba2tgQFBXHw4EGL/omJiZhMJjZu3EjTpk2xsbFh586d5OXlMXLkSKpUqYKtrS0PP/ww+/btA+DChQv4+/vzzDPPGPOkpaXh5OTE+++/X+rYbrQ/uL5kRExMDAEBASxcuBAPDw/s7e0JCwsjOzvb6HPlhG5sbCxubm44OzszbNgwLl68aPTx9PRkzpw5FrEFBAQQExNjXJtMJhYsWEC3bt1wcHBg6tSpFBQUMGTIELy8vLCzs8PX15e5c+daxLdkyRLWrFmDyWTCZDKRmJgIwKlTpwgLC8PV1ZVKlSrRvXt30tPTEREREREREbnfKSEsIlKCESNG0LlzZzp27FjqMRMnTiQ6Oprk5GR8fHx46qmnuHTpEg4ODvTt25f4+HiL/vHx8Tz55JM4OTmRm5tLly5dqF+/PgcOHCAmJobo6Ohi1xk/fjwzZswgNTWVRo0aMXbsWD777DOWLFnCN998Q926dQkJCeH06dPY2tqyfPlyI/lZUFDA008/zaOPPsrgwYNLFdvN9leSEydO8PHHH/P555+zadMmDh48yPDhwy36bNmyhdTUVBITE/noo49YuXIlsbGxpX7mV8TExNCzZ08OHz7M4MGDKSwspEaNGnzyySccOXKEyZMn8/LLL/Pxxx8DEB0dTVhYGKGhoWRmZpKZmUnLli3Jz88nJCQEJycnduzYQVJSEo6OjoSGhlokqq+Vl5dHTk6OxUdERERERETkXlP2/8ZYROQelJCQwDfffGOcsi2t6OhoOne+/M9xY2Nj8ff358SJE9SrV4/IyEhatmxJZmYm7u7uZGVlsWHDBr766isAPvzwQwoLC3nvvfewtbXF39+f//73vzz33HPXrRMXF8ejjz4KXD59vGDBAsxmM48//jgAixYt4ssvv+S9995jzJgxBAQE8NprrxEZGUnfvn05efIk69atM+a7WWyl2V9xLly4wNKlS6levToAb7/9Np07d2b27NlUrVoVAGtra95//33s7e3x9/cnLi6OMWPGMGXKFMqVK/3fW/br149BgwZZtF2dWPby8mL37t18/PHHhIWF4ejoiJ2dHXl5eUYsAB988AGFhYUsXrwYk8kEXE6Ou7q6kpiYyGOPPVbs+tOnT7+tRLaIiIiIiIjI3aQTwiIi1zh16hQvvPACy5cvx9bW9rr7w4YNw9HR0fhc7epaw+7u7gBkZWUB0Lx5c/z9/VmyZAlwOfFYq1YtWrduDWCc9r16zeDg4GJjDAoKMn5OS0sjPz+fVq1aGW0VKlSgefPmpKamGm2jR4/Gx8eHefPm8f7771O5cmXj3s1iK83+ilOzZk0jGXxlP4WFhRw9etRoa9y4Mfb29hZ9cnNzOXXqVInzFufqZ3LFv//9b5o2bYqbmxuOjo68++67ZGRk3HCelJQUTpw4gZOTk/EdV6pUiQsXLpCWllbiuAkTJpCdnW18bjV+ERERERERkbtBJ4RFRK5x4MABsrKyCAwMNNoKCgrYvn078+bN48cffyyxlMPVLzK7crq0sLDQaIuMjOTf//4348ePJz4+nkGDBhn9boWDg8Mtj8nKyuLYsWNYWVlx/PhxQkNDLe6XJrab7e+vUK5cOYqKiiza8vPzr+t37TNJSEggOjqa2bNnExwcjJOTE2+88QZ79uy54Xq5ubk0bdqU5cuXX3fPzc2txHE2NjbY2NjccG4RERERERGRsqYTwiIi1+jQoQOHDx8mOTnZ+AQFBREeHk5ycjIPPvggdevWNT634umnn+bkyZO89dZbHDlyhIEDBxr3/Pz8OHToEBcuXDDavv7665vOWadOHaytrUlKSjLa8vPz2bdvH/Xr1zfaBg8eTMOGDVmyZAnjxo2zOD18s9huV0ZGBj/99JPFfsqVK4evr6/RlpKSwh9//GHRx9HREQ8PD+ByEjYzM9O4n5OTww8//HDTtZOSkmjZsiXDhw+nSZMm1K1b97oTvtbW1hQUFFi0BQYGcvz4capUqWLxPdetWxcXF5dbewAiIiIiIiIi9xidEBYRuYaTkxMNGjSwaHNwcKBy5crXtd+qihUr0qtXL8aMGcNjjz1GjRo1jHv9+vVj4sSJDB06lAkTJpCens6sWbNuOqeDgwPPPfccY8aMoVKlStSsWZPXX3+d8+fPM2TIEOBy6YTdu3dz6NAhPDw8WL9+PeHh4Xz99ddYW1vfNLbbZWtry8CBA5k1axY5OTmMHDmSsLAwi5q9Fy9eZMiQIbzyyiukp6fz6quvEhUVZdQPbt++PWazma5du+Lq6srkyZOxsrK66dre3t4sXbqUzZs34+XlxbJly9i3bx9eXl5GH09PTzZv3szRo0epXLkyLi4uhIeH88Ybb9C9e3fi4uKoUaMGJ0+eZOXKlYwdO/aOPBcRKb30GZ3LOgQRERERkb8VnRAWEbnLhgwZwsWLFxk8eLBFu6OjI59//jmHDx+mSZMmTJw4kZkzZ5ZqzhkzZvDEE0/Qv39/AgMDOXHiBJs3b6ZixYp89913jBkzhvnz5xunbufPn8+vv/7KpEmTShXb7apbty69evWiU6dOPPbYYzRq1Ij58+db9OnQoQPe3t60bt2aPn360K1bN2JiYoz7EyZMoE2bNnTp0oXOnTvTo0cP6tSpc9O1n332WXr16kWfPn146KGH+O233xg+fLhFn6FDh+Lr60tQUBBubm4kJSVhb2/P9u3bqVmzJr169cLPz48hQ4Zw4cIFnJ2d78hzERERERERESkrpqJrCzOKiMhfatmyZbz44ov89NNPxunce8WdjC0mJobVq1eTnJxcYp+IiAjOnj3L6tWr/9Ra96KcnBxcXFzIzs5WIllERERERET+cqX9PVQlI0RE7pLz58+TmZnJjBkzePbZZ++pZPC9HJuIiIiIiIiI3DkqGSEicpe8/vrr1KtXj6pVqzJhwoSyDsfCvRybiIiIiIiIiNw5SgiLiPyFYmJiCAgIMH4ODw/HyckJR0fHWx5fWm3btmXUqFG3HGd+fj5btmwpdWyliSMlJYWzZ8+W2MdsNt92uYj09HRMJpNFSYqkpCQaNmxIhQoV6NGjx23NKyIiIiIiIvJ3ppIRIiLXmDFjBhMmTOCFF15gzpw5ZR2O3IKXXnqJgIAANm7cWOrE9t+5jrGIyLU8x68v6xDkHpU+o3NZhyAiIiJ3iU4Ii4hcZd++fSxcuJBGjRqVdShyG9LS0mjfvj01atTA1dW1rMMRERERERERuecoISwi8v/Lzc0lPDycRYsWUbFixVKNGTduHD4+Ptjb21O7dm0mTZpEfn5+qcYuXbqUypUrk5eXZ9Heo0cP+vfvX+yYiIgIevToQWxsLG5ubjg7OzNs2DAuXrxo0a+wsJCxY8dSqVIlqlatSkxMjMX9s2fPEhkZaczRvn17UlJSjPtXSlUsW7YMT09PXFxc6Nu3L7///rvRJy8vj5EjR1KlShVsbW15+OGH2bdvX6n2DlBUVERMTAw1a9bExsaGatWqMXLkSOO+yWS67tSuq6srZrP5urmulI/47bffGDx4MCaTCbPZTEFBAUOGDMHLyws7Ozt8fX2ZO3euxT6XLFnCmjVrMJlMmEwmEhMTATh16hRhYWG4urpSqVIlunfvTnp6eqn3JyIiIiIiInIvUkJYROT/N2LECDp37kzHjh1LPcbJyQmz2cyRI0eYO3cuixYt4s033yzV2N69e1NQUMDatWuNtqysLNavX8/gwYNLHLdlyxZSU1NJTEzko48+YuXKlcTGxlr0WbJkCQ4ODuzZs4fXX3+duLg4vvzyS4u1s7Ky2LhxIwcOHCAwMJAOHTpw+vRpo09aWhqrV69m3bp1rFu3jm3btjFjxgzj/tixY/nss89YsmQJ33zzDXXr1iUkJMRijhv57LPPePPNN1m4cCHHjx9n9erVNGzYsFRjr+Xh4UFmZibOzs7MmTOHzMxM+vTpQ2FhITVq1OCTTz7hyJEjTJ48mZdffpmPP/4YgOjoaMLCwggNDSUzM5PMzExatmxJfn4+ISEhODk5sWPHDpKSknB0dCQ0NPS65PsVeXl55OTkWHxERERERERE7jVKCIuIAAkJCXzzzTdMnz79lsa98sortGzZEk9PT7p27Up0dLSRbLwZOzs7+vXrR3x8vNH2wQcfULNmTdq2bVviOGtra95//338/f3p3LkzcXFxvPXWWxQWFhp9GjVqxKuvvoq3tzcDBgwgKCiILVu2ALBz50727t3LJ598QlBQEN7e3syaNQtXV1c+/fRTY47CwkLMZjMNGjTgkUceoX///sYc586dY8GCBbzxxhs8/vjj1K9fn0WLFmFnZ8d7771Xqv1nZGRQtWpVOnbsSM2aNWnevDlDhw4t1dhrWVlZUbVqVUwmEy4uLlStWhU7OzsqVKhAbGwsQUFBeHl5ER4ezqBBg4zvyNHRETs7O2xsbKhatSpVq1bF2tqaFStWUFhYyOLFi2nYsCF+fn7Ex8eTkZFhnCC+1vTp03FxcTE+Hh4et7UXERERERERkb+SEsIi8o936tQpXnjhBZYvX46trW2xfYYNG4ajo6PxuWLFihW0atWKqlWr4ujoyCuvvEJGRkap1x46dChffPEFP/74IwBms5mIiAhMJlOJYxo3boy9vb1xHRwcTG5uLqdOnTLarq2B7O7uTlZWFgApKSnk5uZSuXJliz398MMPpKWlGWM8PT1xcnIqdo60tDTy8/Np1aqVcb9ChQo0b96c1NTUUu29d+/e/PHHH9SuXZuhQ4eyatUqLl26VKqxt+Lf//43TZs2xc3NDUdHR959992bfkcpKSmcOHECJycn4/lUqlSJCxcuWDyjq02YMIHs7Gzjc/X3ISIiIiIiInKvKF/WAYiIlLUDBw6QlZVFYGCg0VZQUMD27duZN28eeXl5xMXFER0dbTFu9+7dhIeHExsbS0hICC4uLiQkJDB79uxSr92kSRMaN27M0qVLeeyxx/jPf/7D+vV//g3wFSpUsLg2mUzGCeLc3Fzc3d2LPel69YvYbjTHneDh4cHRo0f56quv+PLLLxk+fDhvvPEG27Zto0KFCphMJoqKiizGlLY+8xUJCQlER0cze/ZsgoODcXJy4o033mDPnj03HJebm0vTpk1Zvnz5dffc3NyKHWNjY4ONjc0txSciIiIiIiJytykhLCL/eB06dODw4cMWbYMGDaJevXqMGzcOKysrqlSpQpUqVSz67Nq1i1q1ajFx4kSj7eTJk7e8fmRkJHPmzOHHH3+kY8eONy01kJKSwh9//IGdnR0AX3/9NY6OjqUuURAYGMjPP/9M+fLl8fT0vOV4AerUqYO1tTVJSUnUqlULuJys3bdvH6NGjSr1PHZ2dnTt2pWuXbsyYsQI6tWrx+HDhwkMDMTNzY3MzEyj7/Hjxzl//vwtxZmUlETLli0ZPny40XbtCV9ra2sKCgos2gIDA1mxYgVVqlTB2dn5ltYUEbmXpc/oXNYhiIiIiEgZU8kIEfnHc3JyokGDBhYfBwcHKleuTIMGDUoc5+3tTUZGBgkJCaSlpfHWW2+xatWqW16/X79+/Pe//2XRokU3fJncFRcvXmTIkCEcOXKEDRs28OqrrxIVFUW5cqX7X3rHjh0JDg6mR48efPHFF6Snp7Nr1y4mTpzI/v37SzWHg4MDzz33HGPGjGHTpk0cOXKEoUOHcv78eYYMGVKqOcxmM++99x7ffvst33//PR988AF2dnZGgrl9+/bMmzePgwcPsn//foYNG3bdqeWb8fb2Zv/+/WzevJljx44xadIk9u3bZ9HH09OTQ4cOcfToUX799Vfy8/MJDw/ngQceoHv37uzYsYMffviBxMRERo4cyX//+99bikFERERERETkXqKEsIjIberWrRsvvvgiUVFRBAQEsGvXLiZNmnTL87i4uPDEE0/g6OhIjx49btq/Q4cOeHt707p1a/r06UO3bt2IiYkp9Xomk4kNGzbQunVrBg0ahI+PD3379uXkyZM8+OCDpZ5nxowZPPHEE/Tv35/AwEBOnDjB5s2bqVixYqnGu7q6smjRIlq1akWjRo346quv+Pzzz6lcuTIAs2fPxsPDg0ceeYR+/foRHR1tUTu5NJ599ll69epFnz59eOihh/jtt98sTgvD5TrOvr6+BAUF4ebmRlJSEvb29mzfvp2aNWvSq1cv/Pz8GDJkCBcuXNCJYREREREREbmvmYquLdAoIiJ3XYcOHfD39+ett966Yb+IiAjOnj3L6tWr705gcttycnJwcXEhOztbSWQRERERERH5y5X291DVEBYRKUNnzpwhMTGRxMRE5s+fX9bhiIiIiIiIiMjfnEpGiIjcAenp6ZhMJpKTk29pXJMmTYiIiGDmzJn4+vresXnvtNLEYTabcXV1vWsxiYiIiIiIiMitU0JYRKQYCxYsoFGjRjg7O+Ps7ExwcDAbN2684+ukp6eTnZ1NdHR0qfqbzeZ7tlxEnz59OHbsWFmHcUsiIiJKVbdZRERERERE5O9CJSNERIpRo0YNZsyYgbe3N0VFRSxZsoTu3btz8OBB/P39yzo8Q1FREQUFBZQvX/b/O7ezs8POzq6swwAgPz+fChUqlHUYIiL3HM/x68s6hBKlz+hc1iGIiIiI/CPohLCISDG6du1Kp06d8Pb2xsfHh6lTp+Lo6MjXX399w3Hff/897dq1w97ensaNG7N7924Azp07h7OzM59++qlF/9WrV+Pg4MDvv/8OwN69e2nSpAm2trYEBQVx8OBBi/6JiYmYTCY2btxI06ZNsbGxYefOneTl5TFy5EiqVKmCra0tDz/8MPv27QPgwoUL+Pv788wzzxjzpKWl4eTkxPvvv1/q2G60P7i+ZERMTAwBAQEsXLgQDw8P7O3tCQsLIzs72+hz5YRubGwsbm5uODs7M2zYMC5evGj08fT0ZM6cORaxBQQEEBMTY1ybTCYWLFhAt27dcHBwYOrUqRQUFDBkyBC8vLyws7PD19eXuXPnWsS3ZMkS1qxZg8lkwmQykZiYCMCpU6cICwvD1dWVSpUq0b17d9LT0xERERERERG53ykhLCJyEwUFBSQkJHDu3DmCg4Nv2HfixIlER0eTnJyMj48PTz31FJcuXcLBwYG+ffsSHx9v0T8+Pp4nn3wSJycncnNz6dKlC/Xr1+fAgQPExMSUWEpi/PjxzJgxg9TUVBo1asTYsWP57LPPWLJkCd988w1169YlJCSE06dPY2try/Lly43kZ0FBAU8//TSPPvoogwcPLlVsN9tfSU6cOMHHH3/M559/zqZNmzh48CDDhw+36LNlyxZSU1NJTEzko48+YuXKlcTGxt7wORcnJiaGnj17cvjwYQYPHkxhYSE1atTgk08+4ciRI0yePJmXX36Zjz/+GIDo6GjCwsIIDQ0lMzOTzMxMWrZsSX5+PiEhITg5ObFjxw6SkpJwdHQkNDTUIlEtIiIiIiIicj8q+39jLCJyjzp8+DDBwcFcuHABR0dHVq1aRf369W84Jjo6ms6dL/+T19jYWPz9/Tlx4gT16tUjMjKSli1bkpmZibu7O1lZWWzYsIGvvvoKgA8//JDCwkLee+89bG1t8ff357///S/PPffcdevExcXx6KOPApdPHy9YsACz2czjjz8OwKJFi/jyyy957733GDNmDAEBAbz22mtERkbSt29fTp48ybp164z5bhZbafZXnAsXLrB06VKqV68OwNtvv03nzp2ZPXs2VatWBcDa2pr3338fe3t7/P39iYuLY8yYMUyZMoVy5Ur/95b9+vVj0KBBFm1XJ5a9vLzYvXs3H3/8MWFhYTg6OmJnZ0deXp4RC8AHH3xAYWEhixcvxmQyAZeT466uriQmJvLYY48Vu35eXh55eXnGdU5OTqljFxEREREREblbdEJYRKQEvr6+JCcns2fPHp577jkGDhzIkSNHGDZsGI6Ojsbnao0aNTJ+dnd3ByArKwuA5s2b4+/vz5IlS4DLicdatWrRunVrAOO0r62trTFHSSeSg4KCjJ/T0tLIz8+nVatWRluFChVo3rw5qampRtvo0aPx8fFh3rx5vP/++1SuXNm4d7PYSrO/4tSsWdNIBl/ZT2FhIUePHjXaGjdujL29vUWf3NxcTp06VeK8xbn6mVzx73//m6ZNm+Lm5oajoyPvvvsuGRkZN5wnJSWFEydO4OTkZHzHlSpV4sKFC6SlpZU4bvr06bi4uBgfDw+PW4pfRERERERE5G5QQlhEpATW1tbUrVuXpk2bMn36dBo3bszcuXOJi4sjOTnZ+Fzt6heZXTldWlhYaLRFRkZiNpuBy6dOBw0aZPS7FQ4ODrc8Jisri2PHjmFlZcXx48evu1+a2G62v79CuXLlKCoqsmjLz8+/rt+1zyQhIYHo6GiGDBnCF198QXJyMoMGDbpp2Yfc3FyaNm1q8R0nJydz7Ngx+vXrV+K4CRMmkJ2dbXxuNaEtIiIiIiIicjcoISwiUkqFhYXk5eVRpUoV6tata3xuxdNPP83Jkyd56623OHLkCAMHDjTu+fn5cejQIS5cuGC03ewldgB16tTB2tqapKQkoy0/P599+/ZZlLgYPHgwDRs2ZMmSJYwbN87i9PDNYrtdGRkZ/PTTTxb7KVeuHL6+vkZbSkoKf/zxh0UfR0dH44Stm5sbmZmZxv2cnBx++OGHm66dlJREy5YtGT58OE2aNKFu3brXnfC1tramoKDAoi0wMJDjx49f9z3XrVsXFxeXEtezsbHB2dnZ4iMiIiIiIiJyr1ENYRGRYkyYMIHHH3+cmjVr8vvvv/Phhx+SmJjI5s2b/9S8FStWpFevXowZM4bHHnuMGjVqGPf69evHxIkTGTp0KBMmTCA9PZ1Zs2bddE4HBweee+45xowZQ6VKlahZsyavv/4658+fZ8iQIcDl0gm7d+/m0KFDeHh4sH79esLDw/n666+xtra+aWy3y9bWloEDBzJr1ixycnIYOXIkYWFhFjV7L168yJAhQ3jllVdIT0/n1VdfJSoqyqgf3L59e8xmM127dsXV1ZXJkydjZWV107W9vb1ZunQpmzdvxsvLi2XLlrFv3z68vLyMPp6enmzevJmjR49SuXJlXFxcCA8P54033qB79+7ExcVRo0YNTp48ycqVKxk7duwdeS4iImUlfUbnsg5BRERERMqYTgiLiBQjKyuLAQMG4OvrS4cOHdi3bx+bN282XuT2ZwwZMoSLFy8yePBgi3ZHR0c+//xzDh8+TJMmTZg4cSIzZ84s1ZwzZszgiSeeoH///gQGBnLixAk2b95MxYoV+e677xgzZgzz5883Tt3Onz+fX3/9lUmTJpUqtttVt25devXqRadOnXjsscdo1KgR8+fPt+jToUMHvL29ad26NX369KFbt27ExMQY9ydMmECbNm3o0qULnTt3pkePHtSpU+emaz/77LP06tWLPn368NBDD/Hbb78xfPhwiz5Dhw7F19eXoKAg3NzcSEpKwt7enu3bt1OzZk169eqFn58fQ4YM4cKFCzr1KyIiIiIiIvc9U9G1hRlFROQvtWzZMl588UV++ukn43TuveJOxhYTE8Pq1auvq7N8tYiICM6ePcvq1av/1Fr3opycHFxcXMjOzlYiWURERERERP5ypf09VCUjRETukvPnz5OZmcmMGTN49tln76lk8L0cm4iIiIiIiIjcOSoZISJyl7z++uvUq1ePqlWrMmHChLIOx8K9HJuIiIiIiIiI3DkqGSEi8g+WmJhIu3btOHPmDK6urmW+ltlsZtSoUZw9exYoXdmJe5VKRoiIiIiIiMjdVNrfQ3VCWETkPjB9+nSaNWuGk5MTVapUoUePHhw9evRPz9uyZUsyMzNxcXG5A1He+bWio6PZsmXLXxiViIiIiIiIyD+LagiLiNwHtm3bxogRI2jWrBmXLl3i5Zdf5rHHHuPIkSM4ODjc9rzW1tZUrVr1DkZavPz8/Ntay9HREUdHx78oKhGRfx7P8evLOgQL6TM6l3UIIiIiIv84OiEsInIf2LRpExEREfj7+9O4cWPMZjMZGRkcOHCgxDHp6emYTCYSEhJo2bIltra2NGjQgG3bthl9EhMTMZlMRokGs9mMq6srq1evxtvbG1tbW0JCQjh16pTF3GvWrCEwMBBbW1tq165NbGwsly5dMu6bTCYWLFhAt27dcHBwYOrUqdetdWW9mjVrYm9vT8+ePfntt98s1omJiSEgIMC4joiIoEePHsyaNQt3d3cqV67MiBEjyM/PN/qcOXOGAQMGULFiRezt7Xn88cc5fvy4xZqurq5s3rwZPz8/HB0dCQ0NJTMz02LtxYsX4+fnh62tLfXq1WP+/Pklf0EiIiIiIiIi9wklhEVE7kPZ2dkAVKpU6aZ9x4wZw+jRozl48CDBwcF07dr1usTr1c6fP8/UqVNZunQpSUlJnD17lr59+xr3d+zYwYABA3jhhRc4cuQICxcuxGw2M3XqVIt5YmJi6NmzJ4cPH2bw4MHXrbNnzx6GDBlCVFQUycnJtGvXjtdee+2m+9m6dStpaWls3bqVJUuWYDabMZvNxv2IiAj279/P2rVr2b17N0VFRXTq1MkiaXz+/HlmzZrFsmXL2L59OxkZGURHRxv3ly9fzuTJk5k6dSqpqalMmzaNSZMmsWTJkpvGJyIiIiIiInIvU0JYROQ+U1hYyKhRo2jVqhUNGjS4af+oqCieeOIJ/Pz8WLBgAS4uLrz33nsl9s/Pz2fevHkEBwfTtGlTlixZwq5du9i7dy8AsbGxjB8/noEDB1K7dm0effRRpkyZwsKFCy3m6devH4MGDaJ27drUrFnzunXmzp1LaGgoY8eOxcfHh5EjRxISEnLT/VSsWJF58+ZRr149unTpQufOnY06w8ePH2ft2rUsXryYRx55hMaNG7N8+XJ+/PFHVq9ebbHHd955h6CgIAIDA4mKirKoVfzqq68ye/ZsevXqhZeXF7169eLFF1+8bo9Xy8vLIycnx+IjIiIiIiIicq9RQlhE5D4zYsQIvv32WxISEoy2YcOGGfV2r625GxwcbPxcvnx5goKCSE1NLXH+8uXL06xZM+O6Xr16uLq6GmNSUlKIi4uzWG/o0KFkZmZy/vx5Y1xQUNAN95GamspDDz1UYqwl8ff3x8rKyrh2d3cnKyvLmLN8+fIW81auXBlfX1+LPdvb21OnTp1i5zh37hxpaWkMGTLEYo+vvfYaaWlpJcY1ffp0XFxcjI+Hh8dN9yIiIiIiIiJyt+mlciIi95GoqCjWrVvH9u3bqVGjhtEeFxdnUfLgr5Sbm0tsbCy9evW67p6tra3x85952d2NVKhQweLaZDJRWFj4p+coKioCLu8PYNGiRdclrK9ORF9rwoQJvPTSS8Z1Tk6OksIiIiIiIiJyz1FCWETkPlBUVMTzzz/PqlWrSExMxMvLy+J+lSpVqFKlSrFjv/76a1q3bg3ApUuXOHDgAFFRUSWudenSJfbv30/z5s0BOHr0KGfPnsXPzw+AwMBAjh49St26df/Unvz8/NizZ891sf7ZOS9dusSePXto2bIlAL/99htHjx6lfv36pZrjwQcfpFq1anz//feEh4eXem0bGxtsbGxuK24RERERERGRu0UJYRGR+8CIESP48MMPWbNmDU5OTvz8888AuLi4YGdnd8Ox//73v/H29sbPz48333yTM2fOFPuStysqVKjA888/z1tvvUX58uWJioqiRYsWRoJ48uTJdOnShZo1a/Lkk09Srlw5UlJS+Pbbb0v1UrgrRo4cSatWrZg1axbdu3dn8+bNbNq0qdTji+Pt7U337t0ZOnQoCxcuxMnJifHjx1O9enW6d+9e6nliY2MZOXIkLi4uhIaGkpeXx/79+zlz5ozFKWARkftN+ozOZR2CiIiIiJQx1RAWEbkPLFiwgOzsbNq2bYu7u7vxWbFixU3HzpgxgxkzZtC4cWN27tzJ2rVreeCBB0rsb29vz7hx4+jXrx+tWrXC0dHRYp2QkBDWrVvHF198QbNmzWjRogVvvvkmtWrVuqU9tWjRgkWLFjF37lwaN27MF198wSuvvHJLcxQnPj6epk2b0qVLF4KDgykqKmLDhg3XlYm4kcjISBYvXkx8fDwNGzakTZs2mM3m605mi4iIiIiIiNxvTEVXiiaKiMjfSnp6Ol5eXhw8eJCAgIBSjTGbzYwaNYqzZ8/+pbH9E+Tk5ODi4kJ2djbOzs5lHY6IiIiIiIj8zZX291CdEBYRERERERERERH5h1BCWEREREREREREROQfQglhEbkvpKenYzKZSE5OLutQ7qjExERMJtNfUqLB09OToqKiUpeLAIiIiLjtWNq2bcuoUaNua6yIiIiIiIiI3B1KCIvIXTd9+nSaNWuGk5MTVapUoUePHhw9evQvX9dkMrF69eo7MldMTAz16tXDwcGBihUr0rFjR/bs2XNH5pa7KyIigh49epR1GCIiIiIiIiJ3RfmyDkBE/nm2bdvGiBEjaNasGZcuXeLll1/mscce48iRIzg4OJR1eKXi4+PDvHnzqF27Nn/88Qdvvvkmjz32GCdOnMDNza2swxMRESmW5/j1ZR3CXyZ9RueyDkFERETkvqATwiJy123atImIiAj8/f1p3LgxZrOZjIwMDhw4UOo5CgoKGDx4MPXq1SMjIwOANWvWEBgYiK2tLbVr1yY2NpZLly4Bl8snAPTs2ROTyWRcAyxYsIA6depgbW2Nr68vy5Ytu+n6/fr1o2PHjtSuXRt/f3/+9a9/kZOTw6FDh244bsOGDfj4+GBnZ0e7du1IT0+/rs/OnTt55JFHsLOzw8PDg5EjR3Lu3Dnj/pkzZxgwYAAVK1bE3t6exx9/nOPHjwPwyy+/ULVqVaZNm2b037VrF9bW1mzZsoX09HTKlSvH/v37LdacM2cOtWrVorCwsNi4L126xMiRI3F1daVy5cqMGzeOgQMH3vBkbXEnsl1dXTGbzcb1f//7X5566ikqVaqEg4MDQUFBFietb/bdmEwmFi9eTM+ePbG3t8fb25u1a9ca9wsKChgyZAheXl7Y2dnh6+vL3LlzjfsxMTEsWbKENWvWYDKZMJlMJCYmAnDq1CnCwsJwdXWlUqVKdO/evdjvS0REREREROR+ooSwiJS57OxsACpVqlSq/nl5efTu3Zvk5GR27NhBzZo12bFjBwMGDOCFF17gyJEjLFy4ELPZzNSpUwHYt28fAPHx8WRmZhrXq1at4oUXXmD06NF8++23PPvsswwaNIitW7eWOv6LFy/y7rvv4uLiQuPGjUvsd+rUKXr16kXXrl1JTk4mMjKS8ePHW/RJS0sjNDSUJ554gkOHDrFixQp27txJVFSU0SciIoL9+/ezdu1adu/eTVFREZ06dSI/Px83Nzfef/99YmJi2L9/P7///jv9+/cnKiqKDh064OnpSceOHYmPj7dYNz4+noiICMqVK/6PhZkzZ7J8+XLi4+NJSkoiJyfnT5ffyM3NpU2bNvz444+sXbuWlJQUxo4daySlS/vdxMbGEhYWxqFDh+jUqRPh4eGcPn0agMLCQmrUqMEnn3zCkSNHmDx5Mi+//DIff/wxANHR0YSFhREaGkpmZiaZmZm0bNmS/Px8QkJCcHJyYseOHSQlJeHo6EhoaCgXL178U/sWERERERERKUumoqKiorIOQkT+uQoLC+nWrRtnz55l586dJfZLT0/Hy8uLHTt2EBMTQ15eHuvWrcPFxQWAjh070qFDByZMmGCM+eCDDxg7diw//fQTcPk06apVqyxOtbZq1Qp/f3/effddoy0sLIxz586xfv2N/1ntunXr6Nu3L+fPn8fd3Z3Vq1fTrFmzEvu//PLLrFmzhv/85z9G2/jx45k5cyZnzpzB1dWVyMhIrKysWLhwodFn586dtGnThnPnznHq1Cl8fHxISkqiZcuWAPz22294eHiwZMkSevfuDcCIESP46quvCAoK4vDhw+zbtw8bGxsAPv74Y4YNG0ZmZiY2NjZ88803BAUF8f3331ucnL5a1apViY6OJjo6Grh88rZ27do0adLESAy3bduWgIAA5syZU+LzdnV1Zc6cOURERPDuu+8SHR1Nenp6sX8ZUJrvxmQy8corrzBlyhQAzp07h6OjIxs3biQ0NLTYvURFRfHzzz/z6aefAv/vRXpXJ7g/+OADXnvtNVJTUzGZTMDlxL+rqyurV6/mscceu27evLw88vLyjOucnBw8PDzIzs7G2dm52FhERO42lYwQERER+fvKycnBxcXlpr+H6oSwiJSpESNG8O2335KQkGC0DRs2DEdHR+Nztaeeeopz587xxRdfGMlggJSUFOLi4izGDR06lMzMTM6fP1/i+qmpqbRq1cqirVWrVqSmpgKwfPlyizl37Nhh9GvXrh3Jycns2rWL0NBQwsLCyMrKAuDxxx83xvj7+xtrPfTQQxZrBQcHW1ynpKRgNpst1gwJCaGwsJAffviB1NRUypcvbzFP5cqV8fX1NWIGmDVrFpcuXeKTTz5h+fLlRjIYoEePHlhZWbFq1SoAzGYz7dq1w9PTk4yMDIu1p02bRnZ2Nv/73/9o3ry5MYeVlRVNmzYt8bmWRnJyMk2aNCnxZPjNvpsrGjVqZPzs4OCAs7Oz8T0A/Pvf/6Zp06a4ubnh6OjIu+++a5QZKUlKSgonTpzAycnJeBaVKlXiwoULpKWlFTtm+vTpuLi4GB8PD48briEiIiIiIiJSFvRSOREpM1FRUaxbt47t27dTo0YNoz0uLs44iXqtTp068cEHH7B7927at29vtOfm5hIbG0uvXr2uG2Nra3vbMXbr1s0i+Vq9enXjZwcHB+rWrUvdunVp0aIF3t7evPfee0yYMIHFixfzxx9/AFChQoVSr5ebm8uzzz7LyJEjr7tXs2ZNo1bwzaSlpfHTTz9RWFhIeno6DRs2NO5ZW1szYMAA4uPj6dWrFx9++KFRV7datWokJycbfUtbxqM4JpOJa/8RSn5+vvGznZ3dbc99tWufr8lkMspOJCQkEB0dzezZswkODsbJyYk33njDok5xcXJzc2natCnLly+/7l5JLw2cMGECL730knF95YSwiIiIiIiIyL1ECWERueuKiop4/vnnWbVqFYmJiXh5eVncr1KlClWqVCl27HPPPUeDBg3o1q0b69evp02bNgAEBgZy9OhR6tatW+K6FSpUoKCgwKLNz8+PpKQkBg4caLQlJSVRv359AJycnHBycirVvgoLC42SAVcnjq9e6+oXngF8/fXXFteBgYEcOXKkxH34+flx6dIl9uzZY1Ey4ujRo0bMFy9e5Omnn6ZPnz74+voSGRnJ4cOHLZ5pZGQkDRo0YP78+Vy6dMlIpJcvX77YtR988EH27dtH69atgcslI7755hsCAgJKfB5ubm5kZmYa18ePH7c4rd2oUSMWL17M6dOni0083+y7KY0rpTWGDx9utF17wtfa2vq6/y4CAwNZsWIFVapUKXW5BxsbG4uT2CIiIiIiIiL3IiWEReSuGzFiBB9++CFr1qzBycmJn3/+GQAXF5dSnRp9/vnnKSgooEuXLmzcuJGHH36YyZMn06VLF2rWrMmTTz5JuXLlSElJ4dtvv+W1114DwNPTky1bttCqVStsbGyoWLEiY8aMISwsjCZNmtCxY0c+//xzVq5cyVdffVXi+ufOnWPq1Kl069YNd3d3fv31V/7973/z448/GjV8izNs2DBmz57NmDFjiIyM5MCBA5jNZos+48aNo0WLFkRFRREZGYmDgwNHjhzhyy+/ZN68eXh7e9O9e3eGDh3KwoULcXJyYvz48VSvXp3u3bsDMHHiRLKzs3nrrbdwdHRkw4YNDB48mHXr1hnr+Pn50aJFC8aNG8fgwYNv+tyff/55pk+fTt26dalXrx5vv/02Z86cMerrFqd9+/bMmzeP4OBgCgoKGDdunMVp3qeeeopp06bRo0cPpk+fjru7OwcPHqRatWoEBwff1ndzLW9vb5YuXcrmzZvx8vJi2bJl7Nu3z+IvITw9Pdm8eTNHjx6lcuXKuLi4EB4ezhtvvEH37t2Ji4ujRo0anDx5kpUrVzJ27FiLE+0iIvcT1dkVEREREYpERO4yoNhPfHx8iWN++OGHIqDo4MGDRtvs2bOLnJycipKSkoqKioqKNm3aVNSyZcsiOzu7Imdn56LmzZsXvfvuu0b/tWvXFtWtW7eofPnyRbVq1TLa58+fX1S7du2iChUqFPn4+BQtXbr0hvH/8ccfRT179iyqVq1akbW1dZG7u3tRt27divbu3XvTvX/++edFdevWLbKxsSl65JFHit5///0ioOjMmTNGn7179xY9+uijRY6OjkUODg5FjRo1Kpo6dapx//Tp00X9+/cvcnFxKbKzsysKCQkpOnbsWFFRUVHR1q1bi8qXL1+0Y8cOi2fn7OxcNH/+fItY3nvvvSKgVHHn5+cXRUVFFTk7OxdVrFixaNy4cUW9e/cu6tu3r9GnTZs2RS+88IJx/eOPPxY99thjRQ4ODkXe3t5FGzZsKHJxcbH4ntPT04ueeOKJImdn5yJ7e/uioKCgoj179hj3b/bdAEWrVq2yaLt6jQsXLhRFREQUubi4FLm6uhY999xzRePHjy9q3Lix0T8rK8t43kDR1q1bi4qKiooyMzOLBgwYUPTAAw8U2djYFNWuXbto6NChRdnZ2Td9XkVFRUXZ2dlFQKn7i4iIiIiIiPwZpf091FRUdE2BRxER+UeYMmUKn3zyCYcOHbrlsYWFhfj5+REWFsaUKVP+gujuf6V9u6uIiIiIiIjInVDa30NVMkJE5B8mNzeX9PR05s2bZ5TTuJmTJ0/yxRdf0KZNG/Ly8pg3bx4//PAD/fr1+4ujFREREREREZE7qVxZByAiIndXVFQUTZs2pW3btgwePLhUY8qVK4fZbKZZs2a0atWKw4cP89VXX+Hn5/cXRysiIiIiIiIid5ISwiIi/zARERFcvHiRhQsXYmVlVaoxHh4eJCUlkZ2dTU5ODrt27aJ169Z3JJYePXrc0Tnatm3LqFGjjGtPT0/mzJnzp9YQERERERER+btQyQgRkb+5tm3bEhAQ8I9Niu7btw8HB4eyDkNERERERETknqCEsIiI/K25ubmVdQgiIvcMz/HryzqEe0L6jM5lHYKIiIhImVHJCBGRv7GIiAi2bdvG3LlzMZlMmEwm0tPTAThw4ABBQUHY29vTsmVLjh49ajF2zZo1BAYGYmtrS+3atYmNjeXSpUvG/YyMDLp3746joyPOzs6EhYXxv//9z7gfExNDQEAACxcuxMPDA3t7e8LCwsjOzr4uzlmzZuHu7k7lypUZMWIE+fn5AMTFxdGgQYPr+gcEBDBp0qRSPYNrS0aYTCYWL15Mz549sbe3x9vbm7Vr11qM+fbbb3n88cdxdHTkwQcfpH///vz666+lWk9ERERERETkXqaEsIjI39jcuXMJDg5m6NChZGZmkpmZiYeHBwATJ05k9uzZ7N+/n/Lly1u8YG7Hjh0MGDCAF154gSNHjrBw4ULMZjNTp04FoLCwkO7du3P69Gm2bdvGl19+yffff0+fPn0s1j9x4gQff/wxn3/+OZs2beLgwYMMHz7cos/WrVtJS0tj69atLFmyBLPZjNlsBmDw4MGkpqayb98+o//Bgwc5dOgQgwYNuu3nEhsbS1hYGIcOHaJTp06Eh4dz+vRpAM6ePUv79u1p0qQJ+/fvZ9OmTfzvf/8jLCzshnPm5eWRk5Nj8RERERERERG51yghLCLyN+bi4oK1tTX29vZUrVqVqlWrGi+Smzp1Km3atKF+/fqMHz+eXbt2ceHCBeBywnT8+PEMHDiQ2rVr8+ijjzJlyhQWLlwIwJYtWzh8+DAffvghTZs25aGHHmLp0qVs27bNInl74cIFli5dSkBAAK1bt+btt98mISGBn3/+2ehTsWJF5s2bR7169ejSpQudO3dmy5YtANSoUYOQkBDi4+ON/vHx8bRp04batWvf9nOJiIjgqaeeom7dukybNo3c3Fz27t0LwLx582jSpAnTpk2jXr16NGnShPfff5+tW7dy7NixEuecPn06Li4uxudK4l1ERERERETkXqKEsIjIP1SjRo2Mn93d3QHIysoCICUlhbi4OBwdHY3PlVPG58+fJzU1FQ8PD4ukZ/369XF1dSU1NdVoq1mzJtWrVzeug4ODKSwstChP4e/vbySpr8RyJQ6AoUOH8tFHH3HhwgUuXrzIhx9+aHGa+c/u3cHBAWdnZ4u9b9261WLv9erVAyAtLa3EOSdMmEB2drbxOXXq1J+KUUREREREROSvoJfKiYj8Q1WoUMH42WQyAZdLQQDk5uYSGxtLr169rhtna2v7l8VxJZYrcQB07doVGxsbVq1ahbW1Nfn5+Tz55JN/2Zq5ubl07dqVmTNnXjfuSuK8ODY2NtjY2PypuERERERERET+akoIi4j8zVlbW1NQUHBLYwIDAzl69Ch169Yt9r6fnx+nTp3i1KlTxinhI0eOcPbsWerXr2/0y8jI4KeffqJatWoAfP3115QrVw5fX99Sx1K+fHkGDhxIfHw81tbW9O3bFzs7u1vaz60IDAzks88+w9PTk/Ll9cekiIiIiIiI/L3oN10Rkb85T09P9uzZQ3p6Oo6Ojhanb0syefJkunTpQs2aNXnyyScpV64cKSkpfPvtt7z22mt07NiRhg0bEh4ezpw5c7h06RLDhw+nTZs2BAUFGfPY2toycOBAZs2aRU5ODiNHjiQsLIyqVave0h4iIyPx8/MDICkp6dYewC0aMWIEixYt4qmnnmLs2LFUqlSJEydOkJCQwOLFiy3KW4iI3G/SZ3Qu6xBEREREpIyphrCIyN9cdHQ0VlZW1K9fHzc3NzIyMm46JiQkhHXr1vHFF1/QrFkzWrRowZtvvkmtWrWAyyUW1qxZQ8WKFWndujUdO3akdu3arFixwmKeunXr0qtXLzp16sRjjz1Go0aNmD9//i3vwdvbm5YtW1KvXj0eeuihWx5/K6pVq0ZSUhIFBQU89thjNGzYkFGjRuHq6kq5cvpjU0RERERERO5vpqKioqKyDkJERP5+YmJiWL16NcnJyX96rqKiIry9vRk+fDgvvfTSnw/uLsjJycHFxYXs7GycnZ3LOhwRERERERH5myvt76EqGSEiIve0X375hYSEBH7++WcGDRpU1uGIiIiIiIiI3NeUEBYRkXtalSpVeOCBB3j33XepWLFiWYcjIiIiIiIicl9TyQgREflbSUxMpF27dpw5cwZXV9c7Nq/JZGLVqlX06NGjVP1VMkJERERERETuptL+Hqq344iIyH2rbdu2jBo1yqKtZcuWZGZm4uLiUjZBiYiIiIiIiNzDVDJCRETuSRcvXsTa2vqWx1lbW1O1atW/ICIRkfuf5/j1ZR2C3MfSZ3Qu6xBERETkDtAJYRERuSe0bduWqKgoRo0axQMPPEBISAjffvstjz/+OI6Ojjz44IP079+fX3/9FYCIiAi2bdvG3LlzMZlMmEwm0tPTSUxMxGQycfbsWQDMZjOurq5s3ryZ/4+9e4/r8f4fP/54K53PCSGFiqRSwmTOh3JoDptjQ8gYzWHKYU6JTTM2NocNWzVj2eYwcxx9HBMqcpiGmmRbG3OImKSu3x/9ur7eOjIW9rzfbtft1vW6Xofn67recevVq+fl4uKCiYkJfn5+ZGZmqmMnJCTQqVMnqlSpgrm5OW3atOHYsWMVcRuEEEIIIYQQQoinShaEhRBCPDOio6PR09MjLi6OiIgI2rdvj6enJ4mJiezYsYM///yTvn37ArB48WJatGjBiBEjyMzMJDMzEzs7u2L7vXPnDgsWLGD16tXs37+fjIwMQkJC1Ou3bt1iyJAhHDx4kMOHD+Pk5ETXrl25detWuWPPycnh5s2bWocQQgghhBBCCPGskZQRQgghnhlOTk7Mnz8fgLlz5+Lp6cl7772nXv/iiy+ws7Pj3LlzODs7o6enh5GRUZkpInJzc/n000+pV68eAMHBwYSHh6vX27dvr1V/xYoVWFhYsG/fPrp3716u2OfNm8fs2bPLVVcIIYQQQgghhKgoskNYCCHEM6NJkybq1ydOnGDPnj2YmJioR4MGDQBIS0t7pH6NjIzUxWAAW1tbLl++rJ7/+eefjBgxAicnJ8zNzTEzMyM7O5uMjIxyjzF16lSysrLU49KlS48UoxBCCCGEEEII8W+QHcJCCCGeGcbGxurX2dnZ+Pv78/777xepZ2tr+0j9Vq5cWetco9GgKIp6PmTIEK5evcrixYuxt7dHX1+fFi1acO/evXKPoa+vj76+/iPFJYQQQgghhBBC/NtkQVgIIcQzycvLi/Xr1+Pg4ICubvH/Xenp6ZGXl/ePx4qLi2PZsmV07doVgEuXLqkvrxNCCCGEEEIIIV4ksiAshBDimTRmzBhWrlzJgAEDmDRpElZWVqSmphITE8OqVavQ0dHBwcGBI0eOkJ6ejomJCVZWVo81lpOTE6tXr8bb25ubN28SGhqKoaHhE56REEJUvPSIbhUdghBCCCGEqGCSQ1gIIcQzqUaNGsTFxZGXl0fnzp1xc3Nj/PjxWFhYUKlSwX9fISEh6Ojo0LBhQ2xsbB4p5++DPv/8c65fv46XlxeDBg1i7NixVK1a9UlORwghhBBCCCGEeCZolAeTKAohhBDiibh58ybm5uZkZWVhZmZW0eEIIYQQQgghhHjBlffnUNkhLIQQQgghhBBCCCGEEP8RsiAshBBCCCGEEEIIIYQQ/xGyICzEf8jevXvRaDTcuHGjQvsoiYODA4sWLXpu+n1e43iRaDQaNm3apJ7//PPPvPTSSxgYGNC4ceMKi0sIIYQQQgghhHhWyYKwEC+otm3bMn78+IoOg7i4OHR1dWVx7gXyNH8p8E/NmjULY2Njzp49S2xsbLnahIWFyedTCCGEEEIIIcR/hm5FByCEeHHduHGDwYMH06FDB/7888+KDqdEubm5VK5cuaLDEE9AWloa3bp1w97evqJDEUKICuMwZWuJ19Ijuv2LkQghhBBCiGeR7BAWooK1bduWt956i/Hjx2NpaUm1atVYuXIlt2/fZujQoZiamuLo6Mj27du12p0+fZouXbpgYmJCtWrVGDRoEH/99RcAgYGB7Nu3j8WLF6PRaNBoNKSnp6ttk5KS8Pb2xsjICB8fH86ePQtAeno6lSpVIjExUWusRYsWYW9vT35+/iPNbdSoUQwcOJAWLVqUu82dO3cYNmwYpqam1K5dmxUrVqjX2rdvT3BwsFb9K1euoKenp+4GvXz5Mv7+/hgaGlKnTh3WrFlTZAyNRsPy5ct55ZVXMDY25t133wVg+fLl1KtXDz09PerXr8/q1avVNsOGDcPd3Z2cnBwA7t27h6enJ4MHDy53bAC3bt1iwIABGBsbU7NmTZYuXarV5saNGwQFBWFjY4OZmRnt27fnxIkT6vXC3ayrV6/GwcEBc3Nz+vfvz61bt4CCZ1j4zB882rZtq/axfv16XF1d0dfXx8HBgYULF2rFsHr1ary9vTE1NaV69eoMHDiQy5cvq/23a9cOAEtLSzQaDYGBgQDk5+czb9486tSpg6GhIR4eHnz33XdF7v+Dli1bhpOTEwYGBlSrVo3XXntNvVZcio3GjRsTFhZWbF8ajYakpCTCw8PRaDRqvcmTJ+Ps7IyRkRF169ZlxowZ5ObmAhAVFcXs2bM5ceKEeq+ioqLK9SyEEEIIIYQQQojnkSwIC/EMiI6OpkqVKhw9epS33nqLN998kz59+uDj48OxY8fo3LkzgwYN4s6dO0DBQlX79u3x9PQkMTGRHTt28Oeff9K3b18AFi9eTIsWLRgxYgSZmZlkZmZiZ2enjjdt2jQWLlxIYmIiurq6DBs2DChYgOvYsSORkZFa8UVGRhIYGEilSuX/JyMyMpJffvmFWbNmPdK9WLhwId7e3hw/fpzRo0fz5ptvqgvWQUFBrF27Vl2UBfjqq6+oWbMm7du3BwoWwy9dusSePXv47rvvWLZsmbqY+aCwsDB69erFqVOnGDZsGBs3bmTcuHFMnDiR06dPM3LkSIYOHcqePXsA+Pjjj7l9+zZTpkwBCu7hjRs3WLJkSbljA/jggw/w8PDg+PHjTJkyhXHjxrFr1y71ep8+fbh8+TLbt28nKSkJLy8vOnTowLVr19Q6aWlpbNq0iS1btrBlyxb27dtHREQEAHZ2duozz8zM5Pjx41hbW9O6dWug4JcBffv2pX///pw6dYqwsDBmzJihLoJCwY7pOXPmcOLECTZt2kR6erq66GtnZ8f69esBOHv2LJmZmSxevBiAefPm8eWXX/Lpp5/y008/MWHCBF5//XX27dtX7LNOTExk7NixhIeHc/bsWXbs2KHG+TgyMzNxdXVl4sSJZGZmEhISAoCpqSlRUVGcOXOGxYsXs3LlSj766CMA+vXrx8SJE3F1dVXvWb9+/cr9LB6Uk5PDzZs3tQ4hhBBCCCGEEOKZowghKlSbNm2Ul19+WT2/f/++YmxsrAwaNEgty8zMVAAlPj5eURRFmTNnjtK5c2etfi5duqQAytmzZ9V+x40bp1Vnz549CqDs3r1bLdu6dasCKH///beiKIqybt06xdLSUrl7966iKIqSlJSkaDQa5cKFC1p9XL9+vcQ5nTt3Tqlataoay6xZsxQPD48y74W9vb3y+uuvq+f5+flK1apVleXLlyuKoih///23Ymlpqaxbt06t4+7uroSFhSmKoihnz55VAOXo0aPq9ZSUFAVQPvroI7UMUMaPH681to+PjzJixAitsj59+ihdu3ZVzw8dOqRUrlxZmTFjhqKrq6scOHBAvVZWbIXz8/Pz0xqjX79+SpcuXRRFUZQDBw4oZmZm6r0vVK9ePeWzzz5TFKXgXhoZGSk3b95Ur4eGhirNmzdXHvb3338rzZs3V7p3767k5eUpiqIoAwcOVDp16qRVLzQ0VGnYsGGR9oUSEhIUQLl165aiKMV/Bu7evasYGRkphw4d0mo7fPhwZcCAAcX2u379esXMzExrLg+yt7fXem6KoigeHh7KrFmz1HNA2bhxY4nXi/PBBx8oTZo0Uc+L+3yW51k8bNasWQpQ5MjKyio1HiGEeNLsJ28p8RBCCCGEEC+urKyscv0cKjuEhXgGuLu7q1/r6OhgbW2Nm5ubWlatWjUAdafriRMn2LNnDyYmJurRoEEDoGD36KOMZ2trq9V3z5490dHRYePGjUDBn9S3a9cOBweHYvt6MIZRo0aRl5fHwIEDmT17Ns7OzsW2WbNmjVa7AwcOFBubRqOhevXqamwGBgYMGjSIL774AoBjx45x+vRpdfdqSkoKurq6NGnSRO2jQYMGWFhYFInB29tb6zwlJYWWLVtqlbVs2ZKUlBT1vEWLFoSEhDBnzhwmTpzIyy+/rF4rK7YH+3j4vHCMEydOkJ2djbW1tdb9uXDhgtZzdXBwwNTUVD23tbUtdhf0sGHDuHXrFmvXrlV3d5c0z/Pnz5OXlwcU7CL29/endu3amJqa0qZNGwAyMjKKjFEoNTWVO3fu0KlTJ63Yv/zyyxI/k506dcLe3p66desyaNAg1qxZo+6Cf5LWrVtHy5YtqV69OiYmJkyfPr3UuUD5n8WDpk6dSlZWlnpcunTpic9FCCGEEEIIIYT4p+SlckI8Ax5+oZlGo9Eq02g0AGoO3+zsbPz9/Xn//feL9FW4wFve8R7uW09Pj8GDBxMZGUnv3r1Zu3atmhKgOMnJyerXZmZm3Lp1i8TERI4fP67m1M3Pz0dRFHR1dfnxxx955ZVXaN68udquZs2axcZWGN+DuYuDgoJo3Lgxv/76K5GRkbRv3/6xXiBmbGz8yG3y8/OJi4tDR0eH1NTUItf/aWzZ2dnY2tqyd+/eItceXNQu6x4BzJ07l507d3L06FGtxeOy3L59G19fX3x9fVmzZg02NjZkZGTg6+vLvXv3So0dYOvWrVrPE0BfX7/YNqamphw7doy9e/fy448/MnPmTMLCwkhISMDCwoJKlSqhKIpWm8Lcv+UVHx9PQEAAs2fPxtfXF3Nzc2JiYorkTS5uPuV5Fg/S19cvca5CCCGEEEIIIcSzQhaEhXgOeXl5sX79ehwcHNDVLf7bWE9PT93x+aiCgoJo1KgRy5Yt4/79+/Tu3bvEuo6Ojlrn+fn5nDp1Sqts2bJl/O9//+O7776jTp06GBsbP9Ii5YPc3Nzw9vZm5cqVrF27Vs3hCwW7ge/fv09SUhJNmzYFCvLc3rhxo8x+XVxciIuLY8iQIWpZXFwcDRs2VM8/+OADfv75Z/bt24evry+RkZEMHTq0XLEVOnz4cJFzFxcXoOC5/vHHH+jq6pa4I7s81q9fT3h4ONu3b6devXrFzvNBcXFxODs7o6Ojw88//8zVq1eJiIhQ804//JJBPT09AK3PV8OGDdHX1ycjI0PdUVweurq6dOzYkY4dOzJr1iwsLCz43//+R+/evbGxsSEzM1Ote/PmTS5cuFDuvgEOHTqEvb0906ZNU8suXrxYZD4Pf688qWchhBBCCCGEEEI8a2RBWIjn0JgxY1i5ciUDBgxg0qRJWFlZkZqaSkxMDKtWrUJHRwcHBweOHDlCeno6JiYmWFlZlbt/FxcXXnrpJSZPnsywYcMwNDQsd9tKlSrRqFEjrbKqVatiYGBQpPxxBQUFERwcjLGxMb169VLL69evj5+fHyNHjmT58uXo6uoyfvz4csUfGhpK37598fT0pGPHjvzwww9s2LCB3bt3A3D8+HFmzpzJd999R8uWLfnwww8ZN24cbdq0oW7dumXGViguLo758+fTs2dPdu3axbfffsvWrVsB6NixIy1atKBnz57Mnz8fZ2dnfv/9d7Zu3UqvXr2KpLkozunTpxk8eDCTJ0/G1dWVP/74AyhY9LSysmLixIk0bdqUOXPm0K9fP+Lj41myZAnLli0DoHbt2ujp6fHJJ58watQoTp8+zZw5c7TGsLe3R6PRsGXLFrp27YqhoSGmpqaEhIQwYcIE8vPzefnll8nKyiIuLg4zMzOthfZCW7Zs4ZdffqF169ZYWlqybds28vPzqV+/PgDt27cnKioKf39/LCwsmDlzJjo6OmXegwc5OTmRkZFBTEwMTZs2ZevWrWo6lEIODg5cuHCB5ORkatWqhamp6RN5FkIIUVHSI7pVdAhCCCGEEOIZJjmEhXgO1ahRg7i4OPLy8ujcuTNubm6MHz9e/TN7gJCQEHR0dGjYsKH6Z/+PYvjw4dy7d49hw4Y9jSn8IwMGDEBXV5cBAwZgYGCgdS0yMpIaNWrQpk0bevfuzRtvvEHVqlXL7LNnz54sXryYBQsW4OrqymeffUZkZCRt27bl7t27vP766wQGBuLv7w/AG2+8Qbt27Rg0aJDW7tLSYgOYOHEiiYmJeHp6MnfuXD788EN8fX2BgtQP27Zto3Xr1gwdOhRnZ2f69+/PxYsX1TzSZUlMTOTOnTvMnTsXW1tb9Sjc5e3l5cU333xDTEwMjRo1YubMmYSHh6u5jm1sbIiKiuLbb7+lYcOGREREsGDBAq0xatasyezZs5kyZQrVqlVTU4PMmTOHGTNmMG/ePFxcXPDz82Pr1q3UqVOn2FgtLCzYsGED7du3x8XFhU8//ZSvv/4aV1dXoCAnb5s2bejevTvdunWjZ8+eRXY8l+WVV15hwoQJBAcH07hxYw4dOsSMGTO06rz66qv4+fnRrl07bGxs+Prrr5/IsxBCCCGEEEIIIZ5FGuXhBI1CCEHB4t63337LyZMnKzqUItLT06lXrx4JCQl4eXlVdDhanuXYxL/r5s2bmJubk5WVhZmZWUWHI4QQQgghhBDiBVfen0MlZYQQQkt2djbp6eksWbKEuXPnVnQ4WnJzc7l69SrTp0/npZdeeqYWXJ/l2IQQQgghhBBCCCEKScoIIYSW4OBgmjRpQtu2bZ+5dBFxcXHY2tqSkJDAp59+WtHhaHmWYxNCCCGEEEIIIYQoJAvCQvwL9u7di0aj4caNGxXaR3p6OhqNhuTk5BLrREVFkZOTw7p16x75BV5PW9u2bVEUhbNnz+Lm5lbR4QAQFhZG48aNS40tMDCQnj17/uOxzp49S/Xq1bl161a527Rt25bx48c/0jgajYZNmzY9WnBP2ZP4/P8T/fv3Z+HChRUythBCCCGEEEII8STJgrAQT9jjLMCJ51dISAixsbH/ylhTp07lrbfewtTU9F8Z70Xk4ODAokWLHrnd9OnTeffdd8nKynryQQkhhBBCCCGEEP8iySEshHjuKIpCXl4euroV/0+YiYkJJiYmT32cjIwMtmzZwieffPLUx/o37N27l8DAQNLT0ys6lHJp1KgR9erV46uvvmLMmDEVHY4QQjw2hylbK3T89IhuFTq+EEIIIYSQHcLiP6xt27a89dZbjB8/HktLS6pVq8bKlSu5ffs2Q4cOxdTUFEdHR7Zv367V7vTp03Tp0gUTExOqVavGoEGD+Ouvv4CC1AD79u1j8eLFaDQaNBqN1oJXUlIS3t7eGBkZ4ePjw9mzZ4GCVA6VKlUiMTFRa6xFixZhb29Pfn5+ueb0888/8/LLL2NgYEDDhg3ZvXt3qX/+HxUVhYWFhVbZpk2b0Gg0WmU//PADTZs2xcDAgCpVqtCrVy/12vXr1xk8eDCWlpYYGRnRpUsXzp8/X2SMTZs24eTkhIGBAb6+vly6dKnccy9MF7B9+3aaNGmCvr4+Bw8eJC0tjR49elCtWjVMTExo2rQpu3fv1urHwcGB9957j2HDhmFqakrt2rVZsWKFVp1Tp07Rvn17DA0Nsba25o033iA7O1u9vnfvXpo1a4axsTEWFha0bNmSixcvAv+XMqJQXl4eb7/9NhYWFlhbWzNp0iQURdEaLz8/n3nz5lGnTh0MDQ3x8PDgu+++K/YZFfrmm2/w8PCgZs2aatnVq1cZMGAANWvWxMjICDc3N77++utS+3FwcGDOnDkMGDAAY2NjatasydKlS4vU++uvv+jVqxdGRkY4OTmxefNmrTkOHz5cjb9+/fosXry41HGflLi4ONzd3TEwMOCll17i9OnTWtcPHjxIq1atMDQ0xM7OjrFjx3L79m2g4Hv+4sWLTJgwQf3+hPLfR39/f2JiYp7+JIUQQgghhBBCiKdIFoTFf1p0dDRVqlTh6NGjvPXWW7z55pv06dMHHx8fjh07RufOnRk0aBB37twB4MaNG7Rv3x5PT08SExPZsWMHf/75J3379gVg8eLFtGjRghEjRpCZmUlmZiZ2dnbqeNOmTWPhwoUkJiaiq6urvrTNwcGBjh07EhkZqRVfZGQkgYGBVKpU9rdqXl4ePXv2xMjIiCNHjrBixQqmTZv2j+/R1q1b6dWrF127duX48ePExsbSrFkz9XpgYCCJiYls3ryZ+Ph4FEWha9eu5ObmqnXu3LnDu+++y5dffklcXBw3btygf//+jzz3KVOmEBERQUpKCu7u7mRnZ9O1a1diY2M5fvw4fn5++Pv7k5GRodXXwoUL8fb25vjx44wePZo333xTXYy/ffs2vr6+WFpakpCQwLfffsvu3bsJDg4G4P79+/Ts2ZM2bdpw8uRJ4uPjeeONN4osmj84VlRUFF988QUHDx7k2rVrbNy4UavOvHnz+PLLL/n000/56aefmDBhAq+//jr79u0r8TkcOHAAb29vrbK7d+/SpEkTtm7dyunTp3njjTcYNGgQR48eLbEfgA8++AAPDw+OHz/OlClTGDduHLt27dKqM3v2bPr27cvJkyfp2rUrAQEBXLt2DShY0K5VqxbffvstZ86cYebMmbzzzjt88803pY77JISGhrJw4UISEhKwsbHB399f/aylpaXh5+fHq6++ysmTJ1m3bh0HDx5Un+WGDRuoVasW4eHh6vcnlP8+NmvWjKNHj5KTk1NsbDk5Ody8eVPrEEIIIYQQQgghnjmKEP9Rbdq0UV5++WX1/P79+4qxsbEyaNAgtSwzM1MBlPj4eEVRFGXOnDlK586dtfq5dOmSAihnz55V+x03bpxWnT179iiAsnv3brVs69atCqD8/fffiqIoyrp16xRLS0vl7t27iqIoSlJSkqLRaJQLFy5o9XH9+vVi57N9+3ZFV1dXyczMVMt27dqlAMrGjRsVRVGUCxcuKIBy/PhxRVEUJTIyUjE3N9fqZ+PGjcqD/zS0aNFCCQgIKHbMc+fOKYASFxenlv3111+KoaGh8s0336hjAMrhw4fVOikpKQqgHDly5JHmvmnTpmLjeJCrq6vyySefqOf29vbK66+/rp7n5+crVatWVZYvX64oiqKsWLFCsbS0VLKzs9U6W7duVSpVqqT88ccfytWrVxVA2bt3b7HjzZo1S/Hw8FDPbW1tlfnz56vnubm5Sq1atZQePXooiqIod+/eVYyMjJRDhw5p9TN8+HBlwIABJc7Lw8NDCQ8PL3P+3bp1UyZOnKieP/x5tLe3V/z8/LTa9OvXT+nSpYt6DijTp09Xz7OzsxVA2b59e4njjhkzRnn11VfLjK/Qnj17FHt7+0eqDygxMTFq2dWrVxVDQ0Nl3bp1iqIU3MM33nhDq92BAweUSpUqqd9n9vb2ykcffVTmeA/fR0VRlBMnTiiAkp6eXmybWbNmKUCRIysrq9zzFEKIp81+8pYKPYQQQgghxNOTlZVVrp9DZYew+E9zd3dXv9bR0cHa2ho3Nze1rFq1agBcvnwZgBMnTrBnzx41b6yJiQkNGjQACnYnPsp4tra2Wn337NkTHR0ddTdpVFQU7dq1w8HBoVxzOXv2LHZ2dlSvXl0te3An7+NKTk6mQ4cOxV5LSUlBV1eX5s2bq2XW1tbUr1+flJQUtUxXV5emTZuq5w0aNMDCwkKtU965P7xDNjs7m5CQEFxcXLCwsMDExISUlJQiO4QfvO8ajYbq1aur9z0lJQUPDw+MjY3VOi1btiQ/P5+zZ89iZWVFYGAgvr6++Pv7s3jxYnVn6cOysrLIzMzUuh+6urpacaempnLnzh06deqk9Tn68ssvS/0M/f333xgYGGiV5eXlMWfOHNzc3LCyssLExISdO3cWmf/DWrRoUeT8wecF2vfM2NgYMzMz9Z4BLF26lCZNmmBjY4OJiQkrVqwoc9wH59ulSxcyMjK0ykaNGlVq+4djt7Ky0vqsnThxgqioKK0+fX19yc/P58KFCyX2Wd77aGhoCKD+xcDDpk6dSlZWlnoUpkURQgghhBBCCCGeJRX/RiYhKlDlypW1zjUajVZZYVqAwhy+2dnZ+Pv78/777xfpq3CBt7zjPdy3np4egwcPJjIykt69e7N27dqnnpe1UqVKRfLbPpjqAf5vEexpKu/cH1y0BQgJCWHXrl0sWLAAR0dHDA0Nee2117h3755WveKec3nzMkNB+oqxY8eyY8cO1q1bx/Tp09m1axcvvfTSI8yyQGFu4q1bt2rlAwbQ19cvsV2VKlW4fv26VtkHH3zA4sWLWbRoEW5ubhgbGzN+/Pgi838cpd2zmJgYQkJCWLhwIS1atMDU1JQPPviAI0eOlNpncnKy+vWRI0eYPHkye/fuVcvMzMz+UczZ2dmMHDmSsWPHFrlWu3btEtuV9z4WpsywsbEpth99ff1Sn6EQQgghhBBCCPEskAVhIR6Bl5cX69evx8HBAV3d4r999PT0yMvLe6z+g4KCaNSoEcuWLeP+/fv07t273G3r16/PpUuX+PPPP9WdzQkJCaW2sbGx4datW9y+fVtdbH1w0Q4KdorGxsYydOjQIu1dXFy4f/8+R44cwcfHByh4QdfZs2dp2LChWu/+/fskJiaqO5bPnj3LjRs3cHFx+Udzj4uLIzAwUH3JXXZ2ttZL/MrDxcWFqKgorXsQFxdHpUqVqF+/vlrP09MTT09Ppk6dSosWLVi7dm2RBWFzc3NsbW05cuQIrVu3VueelJSEl5cXAA0bNkRfX5+MjAzatGlT7jg9PT05c+ZMkfn36NGD119/HSj45cK5c+e07n1xDh8+XOT8wWdRlri4OHx8fBg9erRaVp4d8o6OjurXv/76K7q6ulpl5XH48GF1cff69eucO3dOjd3Ly4szZ86U2mdx35/lvY+nT5+mVq1aVKlS5ZFiFkKIZ0l6RLeKDkEIIYQQQlQwSRkhxCMYM2YM165dY8CAASQkJJCWlsbOnTsZOnSousjk4ODAkSNHSE9P56+//nqknaguLi689NJLTJ48mQEDBjzS7txOnTpRr149hgwZwsmTJ4mLi2P69OkAJb4ArXnz5hgZGfHOO++QlpbG2rVriYqK0qoza9Ysvv76a2bNmkVKSgqnTp1Sd0g7OTnRo0cPRowYwcGDBzlx4gSvv/46NWvWpEePHmoflStX5q233uLIkSMkJSURGBjISy+9pJXS4nHm7uTkxIYNG0hOTubEiRMMHDjwke43QEBAAAYGBgwZMoTTp0+zZ88e3nrrLQYNGkS1atW4cOECU6dOJT4+nosXL/Ljjz9y/vz5EhdQx40bR0REBJs2beLnn39m9OjR3LhxQ71uampKSEgIEyZMIDo6mrS0NI4dO8Ynn3xCdHR0iXH6+voSHx+vtZjp5OTErl27OHToECkpKYwcOZI///yzzDnHxcUxf/58zp07x9KlS/n2228ZN25cue+Zk5MTiYmJ7Ny5k3PnzjFjxowyf/nwpISHhxMbG8vp06cJDAykSpUq9OzZE4DJkydz6NAhgoODSU5O5vz583z//ffqS+Wg4Ptz//79/Pbbb/z111/qfMpzHw8cOEDnzp3/lXkKIYQQQgghhBBPiywIC/EIatSoQVxcHHl5eXTu3Bk3NzfGjx+PhYUFlSoVfDuFhISgo6NDw4YNsbGxKTOv6sOGDx/OvXv3GDZs2CO109HRYdOmTWRnZ9O0aVOCgoKYNm0aQJHcs4WsrKz46quv2LZtG25ubnz99deEhYVp1Wnbti3ffvstmzdvpnHjxrRv356jR4+q1yMjI2nSpAndu3enRYsWKIrCtm3btFIOGBkZMXnyZAYOHEjLli0xMTFh3bp1/3juH374IZaWlvj4+ODv74+vr6+6E7e8jIyM2LlzJ9euXaNp06a89tprdOjQgSVLlqjXf/75Z1599VWcnZ154403GDNmDCNHjiy2v4kTJzJo0CCGDBmiplMo3MFcaM6cOcyYMYN58+bh4uKCn58fW7dupU6dOiXG2aVLF3R1ddm9e7daNn36dLy8vPD19aVt27ZUr15dXRwtzcSJE0lMTMTT05O5c+fy4Ycf4uvrW467VWDkyJH07t2bfv360bx5c65evaq1W/hpioiIYNy4cTRp0oQ//viDH374AT09PaBgN/u+ffs4d+4crVq1wtPTk5kzZ1KjRg21fXh4OOnp6dSrV09N/VCe+3j37l02bdrEiBEj/pV5CiGEEEIIIYQQT4tGeTiBqBCiQs2ZM4dvv/2WkydP/uO+4uLiePnll0lNTaVevXpPILpHFxUVxfjx47V2yZbkSc79RbR06VI2b97Mzp07H7sPBwcHxo8fz/jx459cYP8By5cvZ+PGjfz444/lbnPz5k3Mzc3Jysr6x/mRhRBCCCGEEEKIspT351DJISzEM6Iw/+2SJUuYO3fuY/WxceNGTExMcHJyIjU1lXHjxtGyZcsKWwwuH81exgABAABJREFUrycx9/+CkSNHcuPGDW7duoWpqWlFh/OfUrlyZT755JOKDkMIIYQQQgghhPjHJGWEEM+I4OBgmjRpQtu2bR85XUShW7duMWbMGBo0aEBgYCA5OTn/ys7EwMDAcqUqKMmTmHtFCAsLo3Hjxv/aeLq6ukybNu2ZXAxOT09Ho9EUeSnhv93Hk/Lwsz148CCTJ0+uuICEEEIIIYQQQognRBaEhXhIWFgYGo1G62jQoMFTHzcqKoqcnBzWrVuHjo5OkWsWFhZl9jF48GDOnTvH3bt3+fXXX3n55ZfV/KpP0+LFi4u8jK5QYGBgmekiSpv7wxRFYcGCBTg7O6Ovr0/NmjV59913HzPyfyYkJITY2NinPs7Vq1fx8/OjRo0a6OvrY2dnR3BwMDdv3nzkvtLT0/9xuoh/+guA58G/9WyFEEIIIYQQQoh/m6SMEKIYrq6uWi/v0tWVb5XSmJub/2tjjRs3jh9//JEFCxbg5ubGtWvXuHbt2r82/oNMTEwwMTF56uNUqlSJHj16MHfuXGxsbEhNTWXMmDFcu3aNtWvXPvXxnyf37t17Ir8E+beerRBC/Nscpmyt6BBEMdIjulV0CEIIIYT4D5EdwkIUQ1dXl+rVq6tHlSpVSq0/efJknJ2dMTIyom7dusyYMYPc3FytOj/88ANNmzbFwMCAKlWq0KtXL/VaTk4OISEh1KxZE2NjY5o3b87evXsB2Lt3L0OHDiUrK0vdsRwWFkZ4eDiNGjUqEkvjxo2ZMWNGsXHu2LGDl19+GQsLC6ytrenevTtpaWnq9cI/2f/mm29o1aoVhoaGNG3alHPnzpGQkIC3tzcmJiZ06dKFK1euqO0e3jHatm1bxo4dy6RJk7CysqJ69eqEhYVpxZKRkUGPHj0wMTHBzMyMvn378ueff5Z6n1NSUli+fDnff/89r7zyCnXq1KFJkyZ06tSp1HYJCQl06tSJKlWqYG5uTps2bTh27JhWHY1Gw2effUb37t0xMjLCxcWF+Ph4UlNTadu2LcbGxvj4+Gjdr4fTChTehwULFmBra4u1tTVjxozR+ixcv36dwYMHY2lpiZGREV26dOH8+fOlxm9pacmbb76Jt7c39vb2dOjQgdGjR3PgwIFS2xXG895771GtWjUsLCwIDw/n/v37hIaGYmVlRa1atYiMjNRqd+nSJfr27YuFhQVWVlb06NGD9PR0dc7R0dF8//336uex8LMK8Msvv9CuXTuMjIzw8PAgPj4egNu3b2NmZsZ3332nNdamTZswNjbm1q1bReIvbmf8pk2b0Gg06nnhM1i1ahV16tTBwMAAKPuzDvDrr78yYMAArKysMDY2xtvbmyNHjmj1K4QQQgghhBBCvGhkQViIYpw/f54aNWpQt25dAgICyMjIKLW+qakpUVFRnDlzhsWLF7Ny5Uo++ugj9frWrVvp1asXXbt25fjx48TGxtKsWTP1enBwMPHx8cTExHDy5En69OmDn58f58+fx8fHh0WLFmFmZkZmZiaZmZmEhIQwbNgwUlJSSEhIUPs5fvw4J0+eZOjQocXGefv2bd5++20SExOJjY2lUqVK9OrVi/z8fK16s2bNYvr06Rw7dgxdXV0GDhzIpEmTWLx4MQcOHCA1NZWZM2eWek+io6MxNjbmyJEjzJ8/n/DwcHbt2gVAfn4+PXr04Nq1a+zbt49du3bxyy+/0K9fv1L7/OGHH6hbty5btmyhTp06ODg4EBQUVOYO4Vu3bjFkyBAOHjzI4cOHcXJyomvXrkUWIefMmcPgwYNJTk6mQYMGDBw4kJEjRzJ16lQSExNRFIXg4OBSx9qzZw9paWns2bOH6OhooqKitNJpBAYGkpiYyObNm4mPj0dRFLp27VrkFwil+f3339mwYQNt2rQps+7//vc/fv/9d/bv38+HH37IrFmz6N69O5aWlhw5coRRo0YxcuRIfv31VwByc3Px9fXF1NSUAwcOEBcXh4mJCX5+fty7d4+QkBD69u2Ln5+f+nn08fFRx5s2bRohISEkJyfj7OzMgAEDuH//PsbGxvTv37/I4nNkZCSvvfbaP8qLnJqayvr169mwYYOaf7isz3p2djZt2rTht99+Y/PmzZw4cYJJkyYV+V4QQgghhBBCCCFeNPJ38EI8pHnz5kRFRVG/fn0yMzOZPXs2rVq14vTp0yUuWk2fPl392sHBgZCQEGJiYpg0aRIA7777Lv3792f27NlqPQ8PD6Bgp2xkZCQZGRnUqFEDKMhfumPHDiIjI3nvvfcwNzdHo9FQvXp1tb2JiQm+vr5ERkbStGlToGBxrU2bNtStW7fYOF999VWt8y+++AIbGxvOnDmjtds4JCQEX19foCBFw4ABA4iNjaVly5YADB8+vMScwYXc3d2ZNWsWAE5OTixZsoTY2Fg6depEbGwsp06d4sKFC9jZ2QHw5Zdf4urqSkJCgjqfh/3yyy9cvHiRb7/9li+//JK8vDwmTJjAa6+9xv/+978SY2nfvr3W+YoVK7CwsGDfvn10795dLR86dCh9+/YFCnZ9t2jRghkzZmjdi5IW2wtZWlqyZMkSdHR0aNCgAd26dSM2NpYRI0Zw/vx5Nm/eTFxcnLqIumbNGuzs7Ni0aRN9+vQpte8BAwbw/fff8/fff+Pv78+qVatKrQ9gZWXFxx9/TKVKlahfvz7z58/nzp07vPPOOwBMnTqViIgIDh48SP/+/Vm3bh35+fmsWrVK3YkbGRmJhYUFe/fupXPnzhgaGpKTk6P1eSwUEhJCt24Ff/Y6e/ZsXF1dSU1NpUGDBgQFBeHj40NmZia2trZcvnyZbdu2aaVneRz37t3jyy+/xMbGRi0r67O+du1arly5QkJCAlZWVgA4Ojr+ozhycnLIyclRzx8nx7MQQgghhBBCCPG0yQ5hIR7SpUsX+vTpg7u7O76+vmzbto0bN27wzTffMGrUKDW36IP5RdetW0fLli2pXr06JiYmTJ8+XWtXcXJyMh06dCh2vFOnTpGXl4ezs7NW3/v27SvyJ+4PGzFiBF9//TV3797l3r17rF27lmHDhpVY//z58wwYMIC6detiZmaGg4MDQJEd0O7u7urX1apVA8DNzU2r7PLly6XG9mAfgLoACAWpH+zs7NTFYICGDRtiYWFBSkoKUJDHufBedOnSBSjYWZyTk8OXX35Jq1ataNu2LZ9//jl79uzh7NmzZGRkaN3D9957D4A///yTESNG4OTkhLm5OWZmZmRnZz/WvO/evVvqQp+rq6vWi/Eenreuri7NmzdXr1tbW1O/fn113l26dFHjd3V11er7o48+4tixY3z//fekpaXx9ttvA5Q478J4KlX6v3/qq1WrpjUnHR0drK2t1RhPnDhBamoqpqaman9WVlbcvXu3zM8jaN9DW1tbALXvZs2a4erqSnR0NABfffUV9vb2tG7dusx+S2Nvb6+1GAxlf9aTk5Px9PRUF4OfhHnz5mFubq4eD36+hRBCCCGEEEKIZ4XsEBaiDBYWFjg7O5Oamkp4eDghISFa1+Pj4wkICGD27Nn4+vpibm5OTEwMCxcuVOsYGhqW2H92djY6OjokJSVpLSQCZb7Uyt/fH319fTZu3Iienh65ubm89tprpda3t7dn5cqV1KhRg/z8fBo1asS9e/e06lWuXFn9unCX6MNlZf1p/YP1y9vmQdu2bVPTKBTeP1tbW3R1dXF2dlbrubi4AAULfe3atVNTBgDqYt+QIUO4evUqixcvxt7eHn19fVq0aPFY8wZKncc/nfeqVav4+++/i+2rMKd1gwYNsLKyolWrVsyYMYMaNWoUO++S4iktxuzsbJo0acKaNWuKxPbwomtxyrpfQUFBLF26lClTphAZGcnQoUO1cgI/qFKlSiiKolVWXGoNY2PjImVlfdZL+558XFOnTlUX6aFgh7AsCgshhBBCCCGEeNbIgrAQZcjOziYtLY1BgwZRtWpVqlatqnX90KFD2NvbM23aNLXs4sWLWnXc3d2JjY0tNt2Ap6cneXl5XL58mVatWhUbg56eHnl5eUXKdXV1GTJkCJGRkejp6dG/f/8SF7quXr3K2bNnWblypTrOwYMHS5/8U+Li4sKlS5e4dOmSumB25swZbty4QcOGDYGCXZ8Pa9myJffv3yctLY169eoBcO7cObW+rq5usX/2HxcXx7Jly+jatStQ8NK0v/7666nMrTQuLi7cv3+fI0eOqCkjCp9L4bxr1qxZrr4KF1lzcnJKnPfj8PLyYt26dVStWhUzM7Ni65T0eSyP119/nUmTJvHxxx9z5swZhgwZUmJdGxsbbt26xe3bt9VF3wcXvktSns+6u7s7q1at4tq1a09sl7C+vj76+vpPpC8hhBBCCCGEEOJpkQVhIR4SEhKi7i78/fffmTVrFjo6OgwYMKDY+k5OTmRkZBATE0PTpk3ZunUrGzdu1Koza9YsOnToQL169ejfvz/3799n27ZtTJ48GWdnZwICAhg8eDALFy7E09OTK1euEBsbi7u7O926dcPBwYHs7GxiY2Px8PDAyMgIIyMjoGDHZeEu2bi4uBLnZWlpibW1NStWrMDW1paMjAymTJnyhO7ao+nYsSNubm4EBASwaNEi7t+/z+jRo2nTpg3e3t6ltvPy8mLYsGEsWrSI/Px8xowZQ6dOnbR2DT/MycmJ1atX4+3tzc2bNwkNDX0qO0TL4uTkRI8ePRgxYgSfffYZpqamTJkyhZo1a9KjR48S223bto0///yTpk2bYmJiwk8//URoaCgtW7ZUUyE8KQEBAXzwwQf06NGD8PBwatWqxcWLF9mwYQOTJk2iVq1aODg4sHPnTs6ePYu1tTXm5ubl7t/S0pLevXsTGhpK586dqVWrVol1mzdvjpGREe+88w5jx47lyJEjZeauLhyjrM/6gAEDeO+99+jZsyfz5s3D1taW48ePU6NGDVq0aFHu+QghxPMmPaJbRYcghBBCCCEqmOQQFuIhv/76KwMGDKB+/fr07dsXa2trDh8+XOKfy7/yyitMmDCB4OBgGjduzKFDh5gxY4ZWnbZt2/Ltt9+yefNmGjduTPv27Tl69Kh6PTIyksGDBzNx4kTq169Pz549SUhIoHbt2gD4+PgwatQo+vXrh42NDfPnz1fbOjk54ePjQ4MGDbRy0z6sUqVKxMTEkJSURKNGjZgwYQIffPDBP7lVj02j0fD9999jaWlJ69at6dixI3Xr1mXdunWltqtUqRI//PADVapUoXXr1nTr1g0XFxdiYmJKbff5559z/fp1vLy8GDRoEGPHji2y0/vfEhkZSZMmTejevTstWrRAURS2bdtWJI3DgwwNDVm5ciUvv/wyLi4uTJgwgVdeeYUtW7Y88fiMjIzYv38/tWvXpnfv3ri4uDB8+HDu3r2r7hgeMWIE9evXx9vbGxsbm1J/EVGc4cOHc+/evVLzXUNB6ouvvvqKbdu24ebmxtdff01YWFiZ/Zfns66np8ePP/5I1apV6dq1K25ubkRERBRJ2yKEEEIIIYQQQrxoNMrDCRqFEM8VRVFwcnJi9OjRWvlLhXhWrV69mgkTJvD777+jp6dX0eE8NTdv3sTc3JysrKwS028IIYQQQgghhBBPSnl/DpWUEUI8x65cuUJMTAx//PFHsfmJhXiW3Llzh8zMTCIiIhg5cuQLvRgshBBCCCGEEEI8qyRlhBDPsapVqxIeHs6KFSuwtLSs6HCEKNX8+fNp0KAB1atXZ+rUqRUdjhBCCCGEEEII8Z8kC8JCPMcUReHKlSsMHDiwokN57gQGBtKzZ88n2kfbtm0ZP378P+rzRRYWFkZubi6xsbEEBwdr3TtFUXjjjTewsrJCo9GQnJxcYXEKIYQQQgghhBAvMlkQFkI8dREREWg0mgpZLE1PT5cFxufAjh07iIqKYsuWLWRmZtKoUaN/bWwHBwcWLVr0r40nhBBCCCGEEEJUJMkhLIR4qhISEvjss89wd3ev6FDEMywtLQ1bW1t8fHwqOhQhhHihOUzZWtEh/GvSI7pVdAhCCCGEEM8k2SEshHhqsrOzCQgIYOXKlWXmOC7cyfvNN9/QqlUrDA0Nadq0KefOnSMhIQFvb29MTEzo0qULV65c0Wq7atUqXFxcMDAwoEGDBixbtky9VqdOHQA8PT3RaDS0bdtWq+2CBQuwtbXF2tqaMWPGkJubC0B4eHixu1QbN27MjBkzSpzH/fv3CQ4OxtzcnCpVqjBjxgwURVGv5+TkEBISQs2aNTE2NqZ58+bs3btXvR4VFYWFhQU7d+7ExcUFExMT/Pz8yMzMVOtoNJoih4ODg3r99OnTdOnSBRMTE6pVq8agQYP466+/1Ott27Zl7NixTJo0CSsrK6pXr05YWJjWPG7cuEFQUBA2NjaYmZnRvn17Tpw4oV4/ceIE7dq1w9TUFDMzM5o0aUJiYiJQkBqicePGWv0tWrRIK8YHBQYG8tZbb5GRkaE1l5ycHMaOHUvVqlUxMDDg5ZdfJiEhQW23d+9eNBoNsbGxeHt7Y2RkhI+PD2fPnlXrpKWl0aNHD6pVq4aJiQlNmzZl9+7dWvfi4sWLTJgwQb2XhQ4ePKh+Fu3s7Bg7diy3b98udg5CCCGEEEIIIcTzQhaEhRBPzZgxY+jWrRsdO3Ysd5tZs2Yxffp0jh07hq6uLgMHDmTSpEksXryYAwcOkJqaysyZM9X6a9asYebMmbz77rukpKTw3nvvMWPGDKKjowE4evQoALt37yYzM5MNGzaobffs2UNaWhp79uwhOjqaqKgooqKiABg2bBgpKSlaC5DHjx/n5MmTDB06tMT4o6Oj0dXV5ejRoyxevJgPP/yQVatWqdeDg4OJj48nJiaGkydP0qdPH/z8/Dh//rxa586dOyxYsIDVq1ezf/9+MjIyCAkJUa9nZmaqR2pqKo6OjrRu3RooWMht3749np6eJCYmsmPHDv7880/69u1bJE5jY2OOHDnC/PnzCQ8PZ9euXer1Pn36cPnyZbZv305SUhJeXl506NCBa9euARAQEECtWrVISEggKSmJKVOmULly5TKebvEWL15MeHg4tWrVIjMzU73nkyZNYv369URHR3Ps2DEcHR3x9fVVYyg0bdo0Fi5cSGJiIrq6ugwbNky9lp2dTdeuXYmNjeX48eP4+fnh7+9PRkYGABs2bKBWrVqEh4er9xQKFpL9/Px49dVXOXnyJOvWrePgwYMEBwc/1hyFEEIIIYQQQohnhaSMEEI8FTExMRw7dkxrQbU8QkJC8PX1BWDcuHEMGDCA2NhYWrZsCcDw4cPVRVsoWEBeuHAhvXv3Bgp2BJ85c4bPPvuMIUOGYGNjA4C1tTXVq1fXGsvS0pIlS5ago6NDgwYN6NatG7GxsYwYMYJatWrh6+tLZGQkTZs2BSAyMpI2bdpQt27dEuO3s7Pjo48+QqPRUL9+fU6dOsVHH33EiBEjyMjIIDIykoyMDGrUqKHOd8eOHURGRvLee+8BkJuby6effkq9evWAgkXk8PBwdYzCeSiKwquvvoq5uTmfffYZAEuWLMHT01PtC+CLL77Azs6Oc+fO4ezsDIC7uzuzZs0CwMnJiSVLlhAbG0unTp04ePAgR48e5fLly+jr6wMFO6k3bdrEd999xxtvvEFGRgahoaE0aNBA7eNxmZubY2pqio6Ojjq327dvs3z5cqKioujSpQsAK1euZNeuXXz++eeEhoaq7d99913atGkDwJQpU+jWrRt3797FwMAADw8PPDw81Lpz5sxh48aNbN68meDgYKysrNDR0cHU1FTr8zFv3jwCAgLUvNdOTk58/PHHtGnThuXLl2NgYFBkHjk5OeTk5KjnN2/efOx7IoQQQgghhBBCPC2yQ1gI8cRdunSJcePGsWbNmmIXzkaNGoWJiYl6POjBXMPVqlUDwM3NTavs8uXLQMGiYVpaGsOHD9fqb+7cuaSlpZUZp6urKzo6Ouq5ra2t2jfAiBEj+Prrr7l79y737t1j7dq1WrtPi/PSSy9ppR1o0aIF58+fJy8vj1OnTpGXl4ezs7NWvPv27dOK18jISF0MLi6uQu+88w7x8fF8//33GBoaAgWpHPbs2aPVf+Gi7YNjPJzT+cExTpw4QXZ2NtbW1lr9XLhwQe3j7bffJigoiI4dOxIREVGu+/0o0tLSyM3NVX8RAFC5cmWaNWtGSkqKVt0H52JrawugziU7O5uQkBBcXFywsLDAxMSElJQUdYdwSU6cOEFUVJTW/H19fcnPz+fChQvFtpk3bx7m5ubqYWdn91hzF0IIIYQQQgghnibZISyEeOKSkpK4fPkyXl5ealleXh779+9nyZIl/Pbbb1opEB70YNqBwoXVh8vy8/OBgsU+KNg52rx5c61+HlzoLcnDKQ4e7BvA398ffX19Nm7ciJ6eHrm5ubz22mtl9luS7OxsdHR0SEpKKhLfgwvjxcX1YB5igK+++oqPPvqIvXv3UrNmTa0x/P39ef/994uMX7hYWtIYD95XW1tbrdzGhSwsLICCPMEDBw5k69atbN++nVmzZhETE0OvXr2oVKlSkXgLczM/DcV9ZgrnEhISwq5du1iwYAGOjo4YGhry2muvce/evVL7zM7OZuTIkYwdO7bItdq1axfbZurUqbz99tvq+c2bN2VRWAghhBBCCCHEM0cWhIUQT1yHDh04deqUVtnQoUNp0KABkydPplq1auru33+iWrVq1KhRg19++YWAgIBi6+jp6QEFC9KPSldXlyFDhhAZGYmenh79+/dXd+KW5MiRI1rnhw8fxsnJCR0dHTw9PcnLy+Py5cu0atXqkeMpFB8fT1BQEJ999hkvvfSS1jUvLy/Wr1+Pg4MDurqP90+8l5cXf/zxB7q6uiW+CA7A2dkZZ2dnJkyYwIABA4iMjKRXr17Y2Njwxx9/oCiKukCbnJz8SDHUq1cPPT094uLisLe3BwoWlRMSEtQ0DuURFxdHYGAgvXr1AgoWetPT07Xq6OnpFfl8eHl5cebMGRwdHcs9lr6+vppiQwghhBBCCCGEeFbJgrAQ4okzNTWlUaNGWmXGxsZYW1sXKf+nZs+ezdixYzE3N8fPz4+cnBwSExO5fv06b7/9NlWrVsXQ0JAdO3ZQq1YtDAwMMDc3L3f/QUFBuLi4AAWLi2XJyMjg7bffZuTIkRw7doxPPvmEhQsXAgULqAEBAQwePJiFCxfi6enJlStXiI2Nxd3dnW7dupXZ/x9//EGvXr3o378/vr6+/PHHH0DBjmgbGxvGjBnDypUrGTBgAJMmTcLKyorU1FRiYmJYtWpVuXZOd+zYkRYtWtCzZ0/mz5+Ps7Mzv//+O1u3bqVXr164uroSGhrKa6+9Rp06dfj1119JSEjg1VdfBaBt27ZcuXKF+fPn89prr7Fjxw62b9+OmZlZmWMXMjY25s033yQ0NBQrKytq167N/PnzuXPnDsOHDy93P05OTmzYsAF/f380Gg0zZszQ2gUO4ODgwP79++nfvz/6+vpUqVKFyZMn89JLLxEcHExQUBDGxsacOXOGXbt2sWTJknKPL4QQz5r0iLL/rxFCCCGEEC82ySEshHiuBQUFsWrVKiIjI3Fzc6NNmzZERUVRp04doGCX78cff8xnn31GjRo16NGjxyP17+TkhI+PDw0aNCiSlqI4gwcP5u+//6ZZs2aMGTOGcePG8cYbb6jXIyMjGTx4MBMnTqR+/fr07NmThISEEtMQPOznn3/mzz//JDo6GltbW/UofPFdjRo1iIuLIy8vj86dO+Pm5sb48eOxsLCgUqXy/ZOv0WjYtm0brVu3ZujQoTg7O9O/f38uXrxItWrV0NHR4erVqwwePBhnZ2f69u1Lly5dmD17NgAuLi4sW7aMpUuX4uHhwdGjR0tMEVKaiIgIXn31VQYNGoSXlxepqans3LkTS0vLcvfx4YcfYmlpiY+PD/7+/vj6+mqlMgEIDw8nPT2devXqqS8hdHd3Z9++fZw7d45WrVrh6enJzJkz1ZcBCiGEEEIIIYQQzyuN8nCiRyGEECpFUXBycmL06NFa+WGFKMvNmzcxNzcnKyvrkXZHCyGEEEIIIYQQj6O8P4dKygghhCjBlStXiImJ4Y8//mDo0KEVHY4QQgghhBBCCCHEPyYLwkIIUYKqVatSpUoVVqxY8UhpCoQQQgghhBBCCCGeVZJDWAjxwkpPT0ej0ZCcnPxY7RVF4cqVKwwcOPCJ9vtvCQsLo3HjxqXWadu2LePHj/9X4imOg4MDixYt+kd9lGeejyoqKgoLC4unOoYQQgghhBBCCFERZEFYCPFcioiIQKPRVOhipii/hxdYn3X9+vXj3LlzFR2GEEIIIYQQQgjxxEnKCCHEcychIYHPPvsMd3f3ig6lWIqikJeXh67ui/9PbF5eHhqNhkqVXqzfLxoaGmJoaFjRYQghxBPnMGVrRYcgxAsjPaJbRYcghBBCPJYX6yd4IcQLLzs7m4CAAFauXFnuvL6//PIL7dq1w8jICA8PD+Lj4wG4ffs2ZmZmfPfdd1r1N23ahLGxMbdu3QLg6NGjeHp6YmBggLe3N8ePH9eqv3fvXjQaDdu3b6dJkybo6+tz8OBBcnJyGDt2LFWrVsXAwICXX36ZhIQEAO7evYurqytvvPGG2k9aWhqmpqZ88cUX5Y7t119/ZcCAAVhZWWFsbIy3tzdHjhzRarN69WocHBwwNzenf//+atviXL9+ncGDB2NpaYmRkRFdunTh/Pnz6vXCnb6bN2+mYcOG6Ovrk5GRUWq7vXv3MnToULKystBoNGg0GsLCwtQ+79y5w7BhwzA1NaV27dqsWLFCK6bJkyfj7OyMkZERdevWZcaMGeTm5pY4h/z8fMLDw6lVqxb6+vo0btyYHTt2qNcLU35s2LCh2M/Fg/MUQgghhBBCCCFeNLIgLIR4rowZM4Zu3brRsWPHcreZNm0aISEhJCcn4+zszIABA7h//z7Gxsb079+fyMhIrfqRkZG89tprmJqakp2dTffu3WnYsCFJSUmEhYUREhJS7DhTpkwhIiKClJQU3N3dmTRpEuvXryc6Oppjx47h6OiIr68v165dw8DAgDVr1hAdHc33339PXl4er7/+Op06dWLYsGHljq1Nmzb89ttvbN68mRMnTjBp0iTy8/PV+mlpaWzatIktW7awZcsW9u3bR0RERIn3KjAwkMTERDZv3kx8fDyKotC1a1etBdg7d+7w/vvvs2rVKn766SeqVq1aajsfHx8WLVqEmZkZmZmZZGZmat3DhQsXqgvto0eP5s033+Ts2bPqdVNTU6Kiojhz5gyLFy9m5cqVfPTRRyXOYfHixSxcuJAFCxZw8uRJfH19eeWVV7QWtkv7XAghhBBCCCGEEC+yF//vmYUQL4yYmBiOHTum7rItr5CQELp1K/iTvtmzZ+Pq6kpqaioNGjQgKCgIHx8fMjMzsbW15fLly2zbto3du3cDsHbtWvLz8/n8888xMDDA1dWVX3/9lTfffLPIOOHh4XTq1Ako2H28fPlyoqKi6NKlCwArV65k165dfP7554SGhtK4cWPmzp1LUFAQ/fv35+LFi2zZskXtrzyxXblyhYSEBKysrABwdHTUiik/P5+oqChMTU0BGDRoELGxsbz77rtF4j9//jybN28mLi4OHx8fANasWYOdnR2bNm2iT58+AOTm5rJs2TI8PDzK3c7c3ByNRkP16tWLjNu1a1dGjx4NFOwG/uijj9izZw/169cHYPr06WpdBwcHQkJCiImJYdKkScU+7wULFjB58mT69+8PwPvvv8+ePXtYtGgRS5cuVeuV9rl4HDk5OeTk5KjnN2/efKx+hBBCCCGEEEKIp0l2CAshnguXLl1i3LhxrFmzBgMDgyLXR40ahYmJiXo86MFcw7a2tgBcvnwZgGbNmuHq6kp0dDQAX331Ffb29rRu3RpA3e374JgtWrQoNkZvb2/167S0NHJzc2nZsqVaVrlyZZo1a0ZKSopaNnHiRJydnVmyZAlffPEF1tbW6rWyYktOTsbT01NdDC6Og4ODuhhcOP/CuT8sJSUFXV1dmjdvrpZZW1tTv359rZj19PS07ml525Xkwb4KF40fjHHdunW0bNmS6tWrY2JiwvTp08nIyCi2r5s3b/L7779r3XeAli1bFomltM/F45g3bx7m5ubqYWdn99h9CSGEEEIIIYQQT4ssCAshngtJSUlcvnwZLy8vdHV10dXVZd++fXz88cfo6uoye/ZskpOT1eNBlStXVr/WaDQAWmkVgoKCiIqKAgpSMgwdOlSt9yiMjY0fuc3ly5c5d+4cOjo6RVIalBVbeV569uDcoWD+D879cRgaGj7W/SlJaTHGx8cTEBBA165d2bJlC8ePH2fatGncu3fviY5b3OfiUU2dOpWsrCz1uHTp0j+OUQghhBBCCCGEeNJkQVgI8Vzo0KEDp06d0lr09fb2JiAggOTkZKpVq4ajo6N6PIrXX3+dixcv8vHHH3PmzBmGDBmiXnNxceHkyZPcvXtXLTt8+HCZfdarVw89PT3i4uLUstzcXBISEmjYsKFaNmzYMNzc3IiOjmby5MlFdrGWFpu7uzvJyclcu3btkeZbEhcXF+7fv6/1UrqrV69y9uxZrZgfp52enh55eXmPHNOhQ4ewt7dn2rRpeHt74+TkxMWLF0usb2ZmRo0aNbTuO0BcXFypc3gS9PX1MTMz0zqEEEIIIYQQQohnjeQQFkI8F0xNTWnUqJFWmbGxMdbW1kXKH5WlpSW9e/cmNDSUzp07U6tWLfXawIEDmTZtGiNGjGDq1Kmkp6ezYMGCMvs0NjbmzTffJDQ0FCsrK2rXrs38+fO5c+cOw4cPB2Dp0qXEx8dz8uRJ7Ozs2Lp1KwEBARw+fBg9Pb0yYxswYADvvfcePXv2ZN68edja2nL8+HFq1KhRYlqL0jg5OdGjRw9GjBjBZ599hqmpKVOmTKFmzZr06NHjH7VzcHAgOzub2NhYPDw8MDIywsjIqFwxZWRkEBMTQ9OmTdm6dSsbN24stU1oaCizZs2iXr16NG7cmMjISJKTk1mzZs2j3RAhhHgBpUd0q+gQhBBCCCFEBZMdwkIIAQwfPpx79+4xbNgwrXITExN++OEHTp06haenJ9OmTeP9998vV58RERG8+uqrDBo0CC8vL1JTU9m5cyeWlpb8/PPPhIaGsmzZMjXX7LJly/jrr7+YMWNGuWLT09Pjxx9/pGrVqnTt2hU3NzciIiLQ0dF57PsQGRlJkyZN6N69Oy1atEBRFLZt21YkrcOjtvPx8WHUqFH069cPGxsb5s+fX654XnnlFSZMmEBwcDCNGzfm0KFDRe7Pw8aOHcvbb7/NxIkTcXNzY8eOHWzevBknJ6fy3QQhhBBCCCGEEOIFplEURanoIIQQoqKtXr2aCRMm8Pvvv6u7c58Vz3JsomQ3b97E3NycrKwsSR8hhBBCCCGEEOKpK+/PoZIyQgjxn3bnzh0yMzOJiIhg5MiRz9SC67McmxBCCCGEEEIIIZ5PkjJCCPGfNn/+fBo0aED16tWZOnVqRYej5VmOTQghhBBCCCGEEM8nWRAWQvynhYWFkZubS2xsLCYmJk91rPT0dDQaDcnJyY8d26P2ARAVFYWFhcWjB/yEPU7spSluXitWrMDOzo5KlSqxaNGiJzKOEEIIIYQQQgjxIpEFYSGEeEBERAQajYbx48f/o34CAwPp2bPnE4lJlM/NmzcJDg5m8uTJ/Pbbb7zxxhvlaufg4CCLx0IIIYQQQggh/jMkh7AQQvx/CQkJfPbZZ7i7u1d0KOIxZGRkkJubS7du3bC1ta3ocIQQ4pnkMGXrU+s7PaLbU+tbCCGEEEI8ObJDWAghgOzsbAICAli5ciWWlpZl1r906RJ9+/bFwsICKysrevToQXp6OlCQ6iE6Oprvv/8ejUaDRqNh7969attffvmFdu3aYWRkhIeHB/Hx8QDcvn0bMzMzvvvuO62xNm3ahLGxMbdu3SoSx969e9FoNGzduhV3d3cMDAx46aWXOH36dJG6O3fuxMXFBRMTE/z8/MjMzNS6vmrVKlxcXDAwMKBBgwYsW7ZMvVaY7mHDhg1PLPbr168TEBCAjY0NhoaGODk5ERkZqTWvGzduqPWTk5PRaDTqfX5QVFQUbm5uANStW1etl5aWRo8ePahWrRomJiY0bdqU3bt3q+3atm3LxYsXmTBhgvqsCh08eJBWrVphaGiInZ0dY8eO5fbt20XGFkIIIYQQQgghnieyICyEEMCYMWPo1q0bHTt2LLNubm4uvr6+mJqacuDAAeLi4tRF1nv37hESEkLfvn3VRdfMzEx8fHzU9tOmTSMkJITk5GScnZ0ZMGAA9+/fx9jYmP79+6uLooUiIyN57bXXMDU1LTGm0NBQFi5cSEJCAjY2Nvj7+5Obm6tev3PnDgsWLGD16tXs37+fjIwMQkJC1Otr1qxh5syZvPvuu6SkpPDee+8xY8YMoqOjtcZ5krHPmDGDM2fOsH37dlJSUli+fDlVqlQp8/4Xp1+/fupC79GjR8nMzMTOzo7s7Gy6du1KbGwsx48fx8/PD39/fzIyMgDYsGEDtWrVIjw8XH1WAGlpafj5+fHqq69y8uRJ1q1bx8GDBwkODi4xhpycHG7evKl1CCGEEEIIIYQQzxpJGSGE+M+LiYnh2LFjJCQklKv+unXryM/PZ9WqVeqO0sjISCwsLNi7dy+dO3fG0NCQnJwcqlevXqR9SEgI3boV/Fnt7NmzcXV1JTU1lQYNGhAUFISPjw+ZmZnY2tpy+fJltm3bprWrtTizZs2iU6dOAERHR1OrVi02btxI3759gYJF7E8//ZR69eoBEBwcTHh4uFb7hQsX0rt3bwDq1KnDmTNn+OyzzxgyZMhTiT0jIwNPT0+8vb2Bgly+j8vQ0BBra2sAbGxs1Pvu4eGBh4eHWm/OnDls3LiRzZs3ExwcjJWVFTo6Opiammo9q3nz5hEQEKDmknZycuLjjz+mTZs2LF++HAMDgyIxzJs3j9mzZz/2HIQQQgghhBBCiH+D7BAWQvynXbp0iXHjxrFmzZpiF/lGjRqFiYmJegCcOHGC1NRUTE1N1XIrKyvu3r1LWlpamWM+mKO4MNft5cuXAWjWrBmurq7qztyvvvoKe3t7WrduXWqfLVq0UL+2srKifv36pKSkqGVGRkbqYnDhuIVj3r59m7S0NIYPH64117lz5xaZz5OM/c033yQmJobGjRszadIkDh06VOocH0d2djYhISG4uLhgYWGBiYkJKSkp6g7hkpw4cYKoqCit++Hr60t+fj4XLlwots3UqVPJyspSj0uXLj3x+QghhBBCCCGEEP+U7BAWQvynJSUlcfnyZby8vNSyvLw89u/fz5IlS/jtt9+0UitAwSJjkyZNWLNmTZH+bGxsyhyzcuXK6teFO4zz8/PVsqCgIJYuXcqUKVOIjIxk6NChWrltH8eDYxaOqygKUDAfgJUrV9K8eXOtejo6Ok8t9i5dunDx4kW2bdvGrl276NChA2PGjGHBggVUqlTw+8rCGAGtFBjlFRISwq5du1iwYAGOjo4YGhry2muvce/evVLbZWdnM3LkSMaOHVvkWu3atYtto6+vj76+/iPHKIQQQgghhBBC/JtkQVgI8Z/WoUMHTp06pVU2dOhQGjRowOTJk6lWrRrVqlXTuu7l5cW6deuoWrUqZmZmxfarp6dHXl7eY8X0+uuvM2nSJD7++GPOnDmjlbKhJIcPH1YXKq9fv865c+dwcXEp13jVqlWjRo0a/PLLLwQEBDxWzI8bu42NDUOGDGHIkCG0atWK0NBQFixYoC6sZ2Zmqi/5S05OfuR44uLiCAwMpFevXkDBQu/DL6Ur7ll5eXlx5swZHB0dH3lMIYQQQgghhBDiWSYLwkKI/zRTU1MaNWqkVWZsbIy1tXWR8kIBAQF88MEH9OjRg/DwcGrVqsXFixfZsGEDkyZNolatWjg4OLBz507Onj2LtbU15ubm5Y7J0tKS3r17ExoaSufOnalVq1aZbcLDw7G2tqZatWpMmzaNKlWq0LNnz3KPOXv2bMaOHYu5uTl+fn7k5OSQmJjI9evXefvtt59K7DNnzqRJkya4urqSk5PDli1b1EVsR0dH7OzsCAsL49133+XcuXMsXLiw3HEUcnJyYsOGDfj7+6PRaJgxY4bWjmYoyF28f/9++vfvj76+PlWqVGHy5Mm89NJLBAcHExQUhLGxMWfOnGHXrl0sWbLkkeMQQohnRXpEt4oOQQghhBBCVDDJISyEEI/IyMiI/fv3U7t2bXr37o2LiwvDhw/n7t276o7hESNGUL9+fby9vbGxsSEuLu6Rxhg+fDj37t1j2LBh5aofERHBuHHjaNKkCX/88Qc//PADenp65R4vKCiIVatWERkZiZubG23atCEqKoo6deo8UtyPEruenh5Tp07F3d2d1q1bo6OjQ0xMDFCQmuLrr7/m559/xt3dnffff5+5c+c+ciwffvghlpaW+Pj44O/vj6+vr1Z6EChYTE9PT6devXrqzmR3d3f27dvHuXPnaNWqFZ6ensycOZMaNWo8cgxCCCGEEEIIIcSzRKM8mKBRCCHEM2H16tVMmDCB33//vdSF3b1799KuXTuuX7+OhYXFvxdgKcob+4vu5s2bmJubk5WVVWJqESGEEEIIIYQQ4kkp78+hkjJCCCGeIXfu3CEzM5OIiAhGjhz5XC2oPs+xCyGEEEIIIYQQ/xWSMkIIIZ4h8+fPp0GDBlSvXp2pU6dWdDiP5HmOXQghhBBCCCGE+K+QBWEhxHMhPT0djUZDcnLyc9Hv4woLCyM3N5fY2FhMTEzKrN+2bVsURSk1XcTevXvRaDTcuHGjxDpRUVFafYSFhdG4cePyB86jx/5PFffs4uLicHNzo3Llyo/0Uj0hhBBCCCGEEOK/QhaEhRD/uuXLl+Pu7o6ZmRlmZma0aNGC7du3V3RYLywfHx8yMzMxNzcvd5uQkBBiY2OfYlRPx9tvv03jxo25cOECUVFR5WoTGBgoi8dCCCGEEEIIIf4zJIewEOJfV6tWLSIiInByckJRFKKjo+nRowfHjx/H1dW1osPToigKeXl56Oo+n/9c5ubmoqenR/Xq1R+pnYmJyb+yy/dJS0tLY9SoUdSqVauiQxFCiCfKYcrWJ9JPekS3J9KPEEIIIYR4fskOYSHEv87f35+uXbvi5OSEs7Mz7777LiYmJhw+fLjMtr/88gvt2rXDyMgIDw8P4uPjAbh9+zZmZmZ89913WvU3bdqEsbExt27dAuDo0aN4enpiYGCAt7c3x48f16pfmF5h+/btNGnSBH19fQ4ePEhOTg5jx46latWqGBgY8PLLL5OQkADA3bt3cXV15Y033lD7SUtLw9TUlC+++KJcsRWmP4iJicHHxwcDAwMaNWrEvn37gIKFaUdHRxYsWKDVR3JyMhqNhtTUVAA0Gg3Lly/nlVdewdjYmHfffbfYlBFRUVHUrl0bIyMjevXqxdWrV7X6fThlROEu2gULFmBra4u1tTVjxowhNzdXrZOTk0NISAg1a9bE2NiY5s2bs3fv3hKfpaIohIWFUbt2bfT19alRowZjx45Vr2s0GjZt2qTVxsLCotidv4X37+rVqwwbNgyNRkNUVBR5eXkMHz6cOnXqYGhoSP369Vm8eLHWPKOjo/n+++/RaDRoNBo15kuXLtG3b18sLCywsrKiR48epKenlzgfIYQQQgghhBDieSALwkKICpWXl0dMTAy3b9+mRYsWZdafNm0aISEhJCcn4+zszIABA7h//z7Gxsb079+fyMhIrfqRkZG89tprmJqakp2dTffu3WnYsCFJSUmEhYUREhJS7DhTpkwhIiKClJQU3N3dmTRpEuvXryc6Oppjx47h6OiIr68v165dw8DAgDVr1qgLi3l5ebz++ut06tSJYcOGlSu2QqGhoUycOJHjx4/TokUL/P39uXr1KhqNhmHDhhXbR+vWrXF0dFTLwsLC6NWrF6dOnWLYsGFF5nbkyBGGDx9OcHAwycnJtGvXjrlz55Z57/fs2UNaWhp79uwhOjqaqKgorcXZ4OBg4uPjiYmJ4eTJk/Tp0wc/Pz/Onz9fbH/r16/no48+4rPPPuP8+fNs2rQJNze3MuMojp2dHZmZmZiZmbFo0SIyMzPp168f+fn51KpVi2+//ZYzZ84wc+ZM3nnnHb755hugIDVG37598fPzIzMzk8zMTHx8fMjNzcXX1xdTU1MOHDhAXFwcJiYm+Pn5ce/evWJjyMnJ4ebNm1qHEEIIIYQQQgjxrHk+/wZaCPHcO3XqFC1atODu3buYmJiwceNGGjZsWGa7kJAQunUr+HPX2bNn4+rqSmpqKg0aNCAoKEjNl2tra8vly5fZtm0bu3fvBmDt2rXk5+fz+eefY2BggKurK7/++itvvvlmkXHCw8Pp1KkTULD7ePny5URFRdGlSxcAVq5cya5du/j8888JDQ2lcePGzJ07l6CgIPr378/FixfZsmWL2l9ZsRUKDg7m1VdfBQpyLe/YsYPPP/+cSZMmERgYyMyZMzl69CjNmjUjNzeXtWvXFtk1PHDgQIYOHaqe//LLL1rXFy9ejJ+fH5MmTQLA2dmZQ4cOsWPHjlLvvaWlJUuWLEFHR4cGDRrQrVs3YmNjGTFiBBkZGURGRpKRkUGNGjXUZ7Vjxw4iIyN57733ivSXkZFB9erV6dixI5UrV6Z27do0a9as1BhKoqOjQ/Xq1dFoNJibm2ulyJg9e7b6dZ06dYiPj+ebb76hb9++mJiYYGhoSE5Ojlabr776ivz8fFatWoVGowEKFt8tLCzYu3cvnTt3LhLDvHnztMYSQgghhBBCCCGeRbJDWAhRIerXr09ycjJHjhzhzTffZMiQIZw5cwaAUaNGqTlsH85j6+7urn5ta2sLwOXLlwFo1qwZrq6uREdHAwWLevb29rRu3RpA3e1rYGCg9lHSrmRvb2/167S0NHJzc2nZsqVaVrlyZZo1a0ZKSopaNnHiRJydnVmyZAlffPEF1tbW6rWyYisuHl1dXby9vdUxatSoQbdu3fjiiy8A+OGHH8jJyaFPnz4lxl6clJQUmjdvXuK4JXF1dUVHR0c9L1zYhoIF/ry8PJydnbWe3b59+0hLSyu2vz59+vD3339Tt25dRowYwcaNG7l//36ZcTyqpUuX0qRJE2xsbDAxMWHFihVkZGSU2ubEiROkpqZiamqqzsXKyoq7d++WOJ+pU6eSlZWlHpcuXXricxFCCCGEEEIIIf4pWRAWQlQIPT09HB0dadKkCfPmzcPDw0PN7RoeHk5ycrJ6PKhy5crq14U7N/Pz89WyoKAgNY1BZGQkQ4cOVes9CmNj40duc/nyZc6dO4eOjk6xaRKeRGxBQUHExMTw999/ExkZSb9+/TAyMvrHsZfHg/ceCu5/4b3Pzs5GR0eHpKQkrWeXkpKilbP3QXZ2dpw9e5Zly5ZhaGjI6NGjad26tZqXWKPRoCiKVpsHcxaXR0xMDCEhIQwfPpwff/yR5ORkhg4dWmLah0LZ2dk0adJEay7JycmcO3eOgQMHFttGX18fMzMzrUMIIYQQQgghhHjWyIKwEOKZkJ+fT05ODgBVq1bF0dFRPR7F66+/zsWLF/n44485c+YMQ4YMUa+5uLhw8uRJ7t69q5aV50V29erVQ09Pj7i4OLUsNzeXhIQErTQXw4YNw83NjejoaCZPnqy1e7is2IqL5/79+yQlJeHi4qKWde3aFWNjYzWdRHE5gsvi4uLCkSNHShz3cXh6epKXl8fly5e1np2jo6NWKoaHGRoa4u/vz8cff8zevXuJj4/n1KlTANjY2JCZmanWPX/+PHfu3HmkuOLi4vDx8WH06NF4enri6OhYZIevnp4eeXl5WmVeXl6cP3++yGfR0dERc3PzR4pBCCGEEEIIIYR4lkgOYSHEv27q1Kl06dKF2rVrc+vWLdauXcvevXvZuXPnP+7b0tKS3r17ExoaSufOnalVq5Z6beDAgUybNo0RI0YwdepU0tPTi+TfLY6xsTFvvvkmoaGhWFlZUbt2bebPn8+dO3cYPnw4UJCWID4+npMnT2JnZ8fWrVsJCAjg8OHD6OnplRlboaVLl+Lk5ISLiwsfffQR169f11r01dHRITAwkKlTp+Lk5FSuVA8PGzt2LC1btmTBggX06NGDnTt3lpk/uCzOzs4EBAQwePBgFi5ciKenJ1euXCE2NhZ3d3c17/ODoqKiyMvLo3nz5hgZGfHVV19haGiIvb09AO3bt2fJkiW0aNGCvLw8Jk+eXGSXclmcnJz48ssv2blzJ3Xq1GH16tUkJCRQp04dtY6DgwM7d+7k7NmzWFtbY25uTkBAAB988AE9evQgPDycWrVqcfHiRTZs2MCkSZOKfXZCCPE0pUcU/XdUCCGEEEKIxyE7hIUQ/7rLly8zePBg6tevT4cOHUhISGDnzp3qS9z+qeHDh3Pv3r0iu2dNTEz44YcfOHXqFJ6enkybNo3333+/XH1GRETw6quvMmjQILy8vEhNTWXnzp1YWlry888/ExoayrJly7CzswNg2bJl/PXXX8yYMaNcsT04TkREBB4eHhw8eJDNmzdTpUqVYvt48MVxj+Kll15i5cqVLF68GA8PD3788UemT5/+WH09KDIyksGDBzNx4kTq169Pz549SUhIoHbt2sXWt7CwYOXKlbRs2RJ3d3d2797NDz/8oOZeXrhwIXZ2drRq1YqBAwcSEhJSJD1GWUaOHEnv3r3p168fzZs35+rVq4wePVqrzogRI6hfvz7e3t7Y2NgQFxeHkZER+/fvp3bt2vTu3RsXFxeGDx/O3bt3JRWEEEIIIYQQQojnmkZ5OEGjEEI851avXs2ECRP4/fff1d25z4qSYktPT6dOnTocP36cxo0bl9rHgQMH6NChA5cuXaJatWpPOWLxuG7evIm5uTlZWVmyiCyEEEIIIYQQ4qkr78+hkjJCCPHCuHPnDpmZmURERDBy5MhnajH4ScSWk5PDlStXCAsLo0+fPrIYLIQQQgghhBBCiEcmKSOEEC+M+fPn06BBA6pXr87UqVMrOhwtTyK2r7/+Gnt7e27cuMH8+fOfcIRCCCGEEEIIIYT4L5AFYSFeIOnp6Wg0GpKTk5+Lfp90HGFhYaxcuZKkpCRMTEz+3eDKEBYWRm5uLrGxscXG5uDggKIopaaLCAwMJC8vj6SkJGrWrFlivRkzZvDGG288ibAB0Gg0bNq0CXjyn4WoqCgsLCyeSF9Py44dO2jcuDH5+fkVHYoQQgghhBBCCPGPyYKwEM+oefPm0bRpU0xNTalatSo9e/bk7NmzFR3WM69fv36cO3euosN4JIGBgfTs2fOJ9PXHH3+wePFipk2b9kT6e5idnR2ZmZk0atToqfT/ND3u4rOfnx+VK1dmzZo1Tz4oIYQQQgghhBDiXyY5hIV4Ru3bt48xY8bQtGlT7t+/zzvvvEPnzp05c+YMxsbGFR2eFkVRyMvLQ1e34v9JMTQ0xNDQsKLDACA3N5fKlSv/q2OuWrUKHx8f7O3tn0r/Ojo6VK9e/an0/bju3bv31PNFBwYG8vHHHzNo0KCnOo4QQjxtDlO2VnQIL5z0iG4VHYIQQgghxCORHcJCPKN27NhBYGAgrq6ueHh4EBUVRUZGBklJSWW2/eWXX2jXrh1GRkZ4eHgQHx8PwO3btzEzM+O7777Tqr9p0yaMjY25desWAEePHsXT0xMDAwO8vb05fvy4Vv29e/ei0WjYvn07TZo0QV9fn4MHD5KTk8PYsWOpWrUqBgYGvPzyyyQkJABw9+5dXF1dtVIZpKWlYWpqyhdffFHu2EqbHxTdBRoWFkbjxo357LPPsLOzw8jIiL59+5KVlaXWKdyhO3v2bGxsbDAzM2PUqFHcu3dPrePg4MCiRYu0YmvcuDFhYWHquUajYfny5bzyyisYGxvz7rvvkpeXx/Dhw6lTpw6GhobUr1+fxYsXa8UXHR3N999/j0ajQaPRsHfvXgAuXbpE3759sbCwwMrKih49epCenk5pYmJi8Pf31yr77rvvcHNzw9DQEGtrazp27Mjt27cBSEhIoFOnTlSpUgVzc3PatGnDsWPHSuy/uJQRP/30E927d8fMzAxTU1NatWpFWloa+/fvp3Llyvzxxx9afYwfP55WrVoV239xu6XHjx9P27Zt1fO2bdsSHBzM+PHjqVKlCr6+vgB8+OGHuLm5YWxsjJ2dHaNHjyY7Oxso+MwOHTqUrKws9T4XPrucnBxCQkKoWbMmxsbGNG/eXH0Ghfz9/UlMTCQtLa3EeyOEEEIIIYQQQjwPZEFYiOdE4QKmlZVVmXWnTZtGSEgIycnJODs7M2DAAO7fv4+xsTH9+/cnMjJSq35kZCSvvfYapqamZGdn0717dxo2bEhSUhJhYWGEhIQUO86UKVOIiIggJSUFd3d3Jk2axPr164mOjubYsWM4Ojri6+vLtWvXMDAwYM2aNeriZ15eHq+//jqdOnVi2LBh5YqtrPmVJDU1lW+++YYffviBHTt2cPz4cUaPHq1VJzY2lpSUFPbu3cvXX3/Nhg0bmD17dpn3+mFhYWH06tWLU6dOMWzYMPLz86lVqxbffvstZ86cYebMmbzzzjt88803AISEhNC3b1/8/PzIzMwkMzMTHx8fcnNz8fX1xdTUlAMHDhAXF4eJiQl+fn5aC9UPunbtGmfOnMHb21sty8zMZMCAAQwbNkydX+/evVEUBYBbt24xZMgQDh48yOHDh3FycqJr165aC/Cl+e2332jdujX6+vr873//IykpiWHDhnH//n1at25N3bp1Wb16tVo/NzeXNWvWMGzYsEe+tw+Kjo5GT0+PuLg4Pv30UwAqVarExx9/zE8//UR0dDT/+9//mDRpEgA+Pj4sWrQIMzMz9T4Xfq6Dg4OJj48nJiaGkydP0qdPH/z8/Dh//rw6Xu3atalWrRoHDhwoMaacnBxu3rypdQghhBBCCCGEEM+aiv/7biFEmfLz8xk/fjwtW7YsV+7WkJAQunUr+PPF2bNn4+rqSmpqKg0aNCAoKAgfHx8yMzOxtbXl8uXLbNu2jd27dwOwdu1a8vPz+fzzzzEwMMDV1ZVff/2VN998s8g44eHhdOrUCSjYfbx8+XKioqLo0qULACtXrmTXrl18/vnnhIaG0rhxY+bOnUtQUBD9+/fn4sWLbNmyRe2vrNjKM7/i3L17ly+//FJ9Edsnn3xCt27dWLhwoZr+QE9Pjy+++AIjIyNcXV0JDw8nNDSUOXPmUKlS+X93NnDgQIYOHapV9uDCcp06dYiPj+ebb76hb9++mJiYYGhoSE5OjlYqhq+++or8/HxWrVqFRqMBChbHLSws2Lt3L507dy4ydkZGBoqiUKNGDbUsMzOT+/fv07t3bzWNhJubm3q9ffv2Wn2sWLECCwsL9u3bR/fu3cuc79KlSzE3NycmJkZNj+Hs7KxeHz58OJGRkYSGhgLwww8/cPfuXfr27Vtm36VxcnJi/vz5WmXjx49Xv3ZwcGDu3LmMGjWKZcuWoaenh7m5ORqNRus+Z2RkEBkZSUZGhnrfQkJC2LFjB5GRkbz33ntq3Ro1anDx4sUSY5o3b95j/RJBCCGEEEIIIYT4N8kOYSGeA2PGjOH06dPExMSoZaNGjcLExEQ9HuTu7q5+bWtrC8Dly5cBaNasGa6urkRHRwMFC4/29va0bt0aQN3ta2BgoPbRokWLYuN6cCdqWloaubm5tGzZUi2rXLkyzZo1IyUlRS2bOHEizs7OLFmyhC+++AJra2v1WlmxlWd+xaldu7a6GFw4n/z8fK2X9Hl4eGBkZKRVJzs7m0uXLpXYb3EevCeFli5dSpMmTbCxscHExIQVK1aQkZFRaj8nTpwgNTUVU1NT9RlbWVlx9+7dEtMW/P333wBaz87Dw4MOHTrg5uZGnz59WLlyJdevX1ev//nnn4wYMQInJyfMzc0xMzMjOzu7zPgKJScn06pVqxJzJQcGBpKamsrhw4eBgpQeffv2/cd5sJs0aVKkbPfu3XTo0IGaNWtiamrKoEGDuHr1Knfu3Cmxn1OnTpGXl4ezs7PW99O+ffuK3GdDQ8NS+5o6dSpZWVnq8aifHSGEEEIIIYQQ4t8gC8JCPOOCg4PZsmULe/bsoVatWmp5eHg4ycnJ6vGgBxfnCneX5ufnq2VBQUFERUUBBbtOhw4dqtZ7FI+zqHf58mXOnTuHjo6O1p/kP0psZc3vaahUqZKaZqFQbm5ukXoP35OYmBhCQkIYPnw4P/74I8nJyQwdOrTEtA+FsrOzadKkidYzTk5O5ty5cwwcOLDYNlWqVAHQWvDV0dFh165dbN++nYYNG/LJJ59Qv359Lly4AMCQIUNITk5m8eLFHDp0iOTkZKytrcuMr1BZL/CrWrUq/v7+REZG8ueff7J9+/ZS00U87n1OT0+ne/fuuLu7s379epKSkli6dClAqXPJzs5GR0eHpKQkrfuckpKilesZClJy2NjYlNiXvr4+ZmZmWocQQgghhBBCCPGskQVhIZ5RiqIQHBzMxo0b+d///kedOnW0rletWhVHR0f1eBSvv/46Fy9e5OOPP+bMmTMMGTJEvebi4sLJkye5e/euWla4u7M09erVU3O6FsrNzSUhIYGGDRuqZcOGDcPNzY3o6GgmT56stXu4rNgeV0ZGBr///rvWfCpVqkT9+vXVshMnTqg7bAvrmJiYYGdnB4CNjQ2ZmZnq9Zs3b6qLqqWJi4vDx8eH0aNH4+npiaOjY5Gdp3p6euTl5WmVeXl5cf78+SLP2dHREXNz82LHqlevHmZmZpw5c0arXKPR0LJlS2bPns3x48fR09Nj48aNanxjx46la9euuLq6oq+vz19//VXmvAq5u7tz4MCBYhdtCwUFBbFu3TpWrFhBvXr1tHaRP+zh+wwU+YVHcZKSksjPz2fhwoW89NJLODs7az1zKP4+e3p6kpeXx+XLl4vc5wdTSxTuzPb09CwzFiGEEEIIIYQQ4lkmOYSFeEaNGTOGtWvX8v3332Nqasoff/wBgLm5eZm7MstiaWlJ7969CQ0NpXPnzlo7jwcOHMi0adMYMWIEU6dOJT09nQULFpTZp7GxMW+++SahoaFYWVlRu3Zt5s+fz507dxg+fDhQkDohPj6ekydPYmdnx9atWwkICODw4cPo6emVGdvjMjAwYMiQISxYsICbN28yduxY+vbtq7Xgd+/ePYYPH8706dNJT09n1qxZBAcHq/mD27dvT1RUFP7+/lhYWDBz5kx0dHTKHNvJyYkvv/ySnTt3UqdOHVavXk1CQoLWAr+DgwM7d+7k7NmzWFtbY25uTkBAAB988AE9evQgPDycWrVqcfHiRTZs2MCkSZOKvS+VKlWiY8eOHDx4kJ49ewJw5MgRYmNj6dy5M1WrVuXIkSNcuXIFFxcXNb7Vq1fj7e3NzZs3CQ0NfaTPV3BwMJ988gn9+/dn6tSpmJubc/jwYZo1a6YuuPv6+mJmZsbcuXMJDw8vtb/27dvzwQcf8OWXX9KiRQu++uorTp8+XeZCrKOjI7m5uXzyySf4+/trvWyukIODA9nZ2cTGxqopQpydnQkICGDw4MEsXLgQT09Prly5QmxsLO7u7mqu6sOHD6Ovr19i+hQhhHhepEd0q+gQhBBCCCFEBZMdwkI8o5YvX05WVhZt27bF1tZWPdatW/dE+h8+fDj37t0r8uf7JiYm/PDDD5w6dQpPT0+mTZvG+++/X64+IyIiePXVVxk0aBBeXl6kpqayc+dOLC0t+fnnnwkNDWXZsmXqrttly5bx119/MWPGjHLF9rgcHR3p3bs3Xbt2pXPnzri7u7Ns2TKtOh06dMDJyYnWrVvTr18/XnnlFcLCwtTrU6dOpU2bNnTv3p1u3brRs2dP6tWrV+bYI0eOpHfv3vTr14/mzZtz9epVRo8erVVnxIgR1K9fH29vb2xsbIiLi8PIyIj9+/dTu3ZtevfujYuLC8OHD+fu3bulpiIICgoiJiZGTaFhZmbG/v376dq1K87OzkyfPp2FCxeqL/77/PPPuX79Ol5eXgwaNIixY8dStWrV8t5arK2t+d///kd2djZt2rShSZMmrFy5UiutR6VKlQgMDCQvL4/BgweX2p+vry8zZsxg0qRJNG3alFu3bpXZBgpyJX/44Ye8//77NGrUiDVr1jBv3jytOj4+PowaNYp+/fphY2OjvpQuMjKSwYMHM3HiROrXr0/Pnj1JSEigdu3aatuvv/6agIAArTzTQgghhBBCCCHE80ijPJysUQjxn7B69WomTJjA77//ru7OfVY8ydjCwsLYtGlTqWkHAgMDuXHjBps2bfpHYz0LFEWhefPmTJgwgQEDBlR0OKrhw4dz5coVNm/eXNGhPLK//vqL+vXrk5iYWCR1S2lu3ryJubk5WVlZkk9YCCGEEEIIIcRTV96fQyVlhBD/MXfu3CEzM5OIiAhGjhz5TC0GP8uxPS80Gg0rVqzg1KlTFR0KAFlZWZw6dYq1a9c+l4vBUPDCumXLlj3SYrAQQgghhBBCCPGskpQRQvzHzJ8/nwYNGlC9enWmTp1a0eFoeZZje540btyYQYMGVXQYAPTo0YPOnTszatQoOnXqVNHhPBZvb2/69etX0WEIIYQQQgghhBBPhKSMEEKIp0Sj0bBx40b1BW8v+rgPK0+6jn8iKiqK8ePHc+PGDbVsxYoVzJkzh99++40PP/yQ8ePHP5Wxy0NSRgghhBBCCCGE+DeV9+dQ2SEshHhhzJs3j6ZNm2JqakrVqlXp2bMnZ8+erbB4MjMz1Ze3iafv5s2bBAcHM3nyZH777TfeeOONcrVzcHBg0aJFTzc4IYQQQgghhBDiGSE5hIUQL4x9+/YxZswYmjZtyv3793nnnXfo3LkzZ86cwdjY+F+Pp3r16v/6mP9lGRkZ5Obm0q1bN2xtbSs6HCGEeCY5TNmqdZ4e0a2CIhFCCCGEEBVFdggLIV4YO3bsIDAwEFdXVzw8PIiKiiIjI4OkpKRS202ePBlnZ2eMjIyoW7cuM2bMIDc3V70eFhZG48aN+eKLL6hduzYmJiaMHj2avLw85s+fT/Xq1alatSrvvvuuVr8ajYZNmzYBBS8m02g0bNiwgXbt2mFkZISHhwfx8fFabdavX4+rqyv6+vo4ODiwcOFCresODg7MmTOHAQMGYGxsTM2aNVm6dGmROf3111/06tULIyMjnJycirzQ7fTp03Tp0gUTExOqVavGoEGD+Ouvv9Trbdu2ZezYsUyaNAkrKyuqV69OWFiYVh8ZGRn06NEDExMTzMzM6Nu3L3/++Wep9/pB169fJyAgABsbGwwNDXFyciIyMhKAvXv3otFotNJBJCcno9FoSE9PL9JXVFQUbm5uANStW1etl5aWRo8ePahWrRomJiY0bdqU3bt3a83z4sWLTJgwAY1Gg0ajUa8dPHiQVq1aYWhoiJ2dHWPHjuX27dvlnp8QQgghhBBCCPEskgVhIcQLKysrCwArK6tS65mamhIVFcWZM2dYvHgxK1eu5KOPPtKqk5aWxvbt29mxYwdff/01n3/+Od26dePXX39l3759vP/++0yfPp0jR46UOta0adMICQkhOTkZZ2dnBgwYwP379wFISkqib9++9O/fn1OnThEWFsaMGTOIiorS6uODDz7Aw8OD48ePM2XKFMaNG8euXbu06syePZu+ffty8uRJunbtSkBAANeuXQPgxo0btG/fHk9PTxITE9mxYwd//vknffv21eojOjoaY2Njjhw5wvz58wkPD1fHyc/Pp0ePHly7do19+/axa9cufvnll0d6+dqMGTM4c+YM27dvJyUlheXLl1OlSpVyt39Qv3791IXeo0ePkpmZiZ2dHdnZ2XTt2pXY2FiOHz+On58f/v7+ZGRkALBhwwZq1apFeHg4mZmZZGZmAgXP28/Pj1dffZWTJ0+ybt06Dh48SHBwcIkx5OTkcPPmTa1DCCGEEEIIIYR45ihCCPECysvLU7p166a0bNnykdt+8MEHSpMmTdTzWbNmKUZGRsrNmzfVMl9fX8XBwUHJy8tTy+rXr6/MmzdPPQeUjRs3KoqiKBcuXFAAZdWqVer1n376SQGUlJQURVEUZeDAgUqnTp20YgkNDVUaNmyontvb2yt+fn5adfr166d06dJFa9zp06er59nZ2QqgbN++XVEURZkzZ47SuXNnrT4uXbqkAMrZs2cVRVGUNm3aKC+//LJWnaZNmyqTJ09WFEVRfvzxR0VHR0fJyMgoMp+jR4+q983Dw0Mpib+/vzJ06NBir+3Zs0cBlOvXr6tlx48fVwDlwoULiqIoSmRkpGJubl7i9ZK4uroqn3zyiXpub2+vfPTRR1p1hg8frrzxxhtaZQcOHFAqVaqk/P3338X2O2vWLAUocmRlZZUajxBC/JvsJ2/ROoQQQgghxIsjKyurXD+Hyg5hIcQLacyYMZw+fZqYmBi1bNSoUZiYmKhHoXXr1tGyZUuqV6+OiYkJ06dPV3eQFnJwcMDU1FQ9r1atGg0bNqRSpUpaZZcvXy41Lnd3d/Xrwjy3hW1SUlJo2bKlVv2WLVty/vx58vLy1LIWLVpo1WnRogUpKSkljmNsbIyZmZk6zokTJ9izZ4/WvWjQoAFQsDO2uD4K430wVjs7O+zs7NTrDRs2xMLCokgsJXnzzTeJiYmhcePGTJo0iUOHDpWr3aPIzs4mJCQEFxcXLCwsMDExISUlpcjzfdiJEyeIiorSuke+vr7k5+dz4cKFYttMnTqVrKws9bh06dITn48QQgghhBBCCPFPyUvlhBAvnODgYLZs2cL+/fupVauWWh4eHk5ISIhW3fj4eAICApg9eza+vr6Ym5sTExNTJHdv5cqVtc41Gk2xZfn5+aXG9mCbwny1ZbV5HKXFlp2djb+/P++//36Rdg++jO1x5vcounTpwsWLF9m2bRu7du2iQ4cOjBkzhgULFqgL7YqiqPUfzOtcXiEhIezatYsFCxbg6OiIoaEhr732Gvfu3Su1XXZ2NiNHjmTs2LFFrtWuXbvYNvr6+ujr6z9yjEIIIYQQQgghxL9JFoSFEC8MRVF466232LhxI3v37qVOnTpa16tWrUrVqlW1yg4dOoS9vT3Tpk1Tyy5evPivxPswFxcX4uLitMri4uJwdnZGR0dHLTt8+LBWncOHD+Pi4lLucby8vFi/fj0ODg7o6j7efwMuLi5cunSJS5cuqbuEz5w5w40bN2jYsGG5+7GxsWHIkCEMGTKEVq1aERoayoIFC7CxsQEgMzMTS0tLoOClco8qLi6OwMBAevXqBRQs9D78Ujo9PT2tHdhQcI/OnDmDo6PjI48phBBCCCGEEEI8yyRlhBDihTFmzBi++uor1q5di6mpKX/88Qd//PEHf//9d4ltnJycyMjIICYmhrS0ND7++GM2btz4L0b9fyZOnEhsbCxz5szh3LlzREdHs2TJkiK7muPi4pg/fz7nzp1j6dKlfPvtt4wbN67c44wZM4Zr164xYMAAEhISSEtLY+fOnQwdOrTIwmhJOnbsiJubGwEBARw7doyjR48yePBg2rRpg7e3d7n6mDlzJt9//z2pqan89NNPbNmyRV3YdnR0xM7OjrCwMM6fP8/WrVuL7NouDycnJzZs2EBycjInTpxg4MCBRXY5Ozg4sH//fn777Tf++usvACZPnsyhQ4cIDg4mOTmZ8+fP8/3335f6UjkhhHgepEd00zqEEEIIIcR/jywICyFeGMuXLycrK4u2bdtia2urHuvWrSuxzSuvvMKECRMIDg6mcePGHDp0iBkzZvyLUf8fLy8vvvnmG2JiYmjUqBEzZ84kPDycwMBArXoTJ04kMTERT09P5s6dy4cffoivr2+5x6lRowZxcXHk5eXRuXNn3NzcGD9+PBYWFlo5kUuj0Wj4/vvvsbS0pHXr1nTs2JG6deuWeq8fpqenx9SpU3F3d6d169bo6OioOZ8rV67M119/zc8//4y7uzvvv/8+c+fOLXffhT788EMsLS3x8fHB398fX19fvLy8tOqEh4eTnp5OvXr11J3J7u7u7Nu3j3PnztGqVSs8PT2ZOXMmNWrUeOQYhBBCCCGEEEKIZ4lGeTBBoxBCiGeag4MD48ePZ/z48RUdiijDzZs3MTc3JysrCzMzs4oORwghhBBCCCHEC668P4fKDmEhhBBCCCGEEEIIIYT4j5AFYSGEoCAFwqZNmwBIT09Ho9GoLzHbu3cvGo2GGzduPNExn1a/z2scD3JwcGDRokUVHYYQQgghhBBCCPHCkQVhIcQzYd68eTRt2hRTU1OqVq1Kz549OXv2bKltNmzYgLe3NxYWFhgbG9O4cWNWr179j2Oxs7MjMzOTRo0a/eO+nrT09PQnni7Cx8eHzMxMzM3Nn2i/z4OHF/+FEEIIIYQQQogXnW5FByCEEAD79u1jzJgxNG3alPv37/POO+/QuXNnzpw5g7GxcbFtrKysmDZtGg0aNEBPT48tW7YwdOhQqlat+kgvWXuYjo4O1atXf+z2T0peXh4ajabcL3p7XHp6es/EfJ+ke/fuoaenV9FhCCHEM8dhytaKDkE8BekR3So6BCGEEEI8R2SHsBDimbBjxw4CAwNxdXXFw8ODqKgoMjIySEpKKrFN27Zt6dWrFy4uLtSrV49x48bh7u7OwYMHSx3r/PnztG7dGgMDAxo2bMiuXbu0rpe0azQpKQlvb2+MjIzw8fFRdzCnp6dTqVIlEhMTteovWrQIe3t78vPzAdi2bRvOzs4YGhrSrl070tPTtepHRUVhYWHB5s2badiwIfr6+mRkZHD9+nUGDx6MpaUlRkZGdOnShfPnzwNw5coVqlevznvvvaf2c+jQIfT09IiNjS1XbA+njLh48SL+/v5YWlpibGyMq6sr27ZtU9vu27ePZs2aoa+vj62tLVOmTOH+/fsArFixgho1aqhzLtSjRw+GDRsGQFpaGj169KBatWqYmJjQtGlTdu/eXeozu3HjBkFBQdjY2GBmZkb79u05ceKEej0sLIzGjRuzatUq6tSpg4GBAVDwuXr55ZexsLDA2tqa7t27k5aWprarU6cOAJ6enmg0Gtq2bateW7VqFS4uLhgYGNCgQQOWLVtWaoxCCCGEEEIIIcTzQBaEhRDPpKysLKBgF3B5KIpCbGwsZ8+epXXr1iXWy8/Pp3fv3ujp6XHkyBE+/fRTJk+eXK4xpk2bxsKFC0lMTERXV1dd4HRwcKBjx45ERkZq1Y+MjCQwMJBKlSpx6dIlevfujb+/P8nJyQQFBTFlypQiY9y5c4f333+fVatW8dNPP1G1alUCAwNJTExk8+bNxMfHoygKXbt2JTc3FxsbG7744gvCwsJITEzk1q1bDBo0iODgYDp06FCu2B42ZswYcnJy2L9/P6dOneL999/HxMQEgN9++42uXbvStGlTTpw4wfLly/n888+ZO3cuAH369OHq1avs2bNH7e/atWvs2LGDgIAAALKzs+natSuxsbEcP34cPz8//P39ycjIKPHe9+nTh8uXL7N9+3aSkpLw8vKiQ4cOXLt2Ta2TmprK+vXr2bBhg7qYf/v2bd5++20SExP/H3t3Hp3Tvf7//3kTmSchISGRIAiCEDQclaJNDKmpKGkJieGgqpoaTmuIuUWLOtTQJsaiNbSHoviJkipBTUeqpI3oaRxOkQgVJPn94WN/3ZIQikT7eqy117r33u/heu/bYuXK27XZvn07JUqUoGPHjkbCet++fQBs27aNtLQ01q5dC8Dy5csZM2YMkyZNIikpicmTJzN69GgWL15cYIwiIiIiIiIiTwOVjBCRYicnJ4ehQ4fStGnT+9bxTU9Pp0KFCmRlZVGyZEnmzp3L888/X2D7bdu28cMPP7BlyxY8PDwAmDx5Mq1bt75vXJMmTaJ58+YAjBw5krZt23Lt2jWsra2JiopiwIABvP/++1hZWXHw4EGOHj3KF198AcC8efOoUqUKM2bMAKB69epGsvVON27cYO7cudStWxe4tZv5yy+/JCEhgSZNmgC3kpWenp6sX7+eLl260KZNG/r27Ut4eDiBgYHY2dkxZcoUY8z7xXa31NRUOnfujL+/PwCVK1c27s2dOxdPT0/mzJmDyWSiRo0a/Prrr4wYMYIxY8ZQunRpWrduzYoVK2jZsiUAn3/+OWXLluW5554DoG7dusb6ACZMmMC6dev48ssvGTx4cJ54du/ezb59+zh37hxWVlYATJ8+nfXr1/P555/Tr18/4FaZiCVLluDq6mr07dy5s9lYn3zyCa6urhw/fpzatWsbbcuUKWNWNmPs2LHMmDGDTp06Abd2Eh8/fpz58+fTq1evfJ9bVlYWWVlZxnlGRka+7URERERERESKknYIi0ixM2jQII4dO8bKlSvv29bBwYFDhw6RmJjIpEmTGDZsGPHx8cCtRK+9vb1xpKamkpSUhKenp5EMBggKCipUXHXq1DE+u7u7A3Du3DkAOnToQMmSJVm3bh1wq/zDc889h7e3NwBJSUk0btzYbLz85rW0tDSbJykpCQsLC7O+ZcqUoXr16iQlJRnXpk+fzs2bN/nss89Yvny5kTgtTGx3GzJkCBMnTqRp06aMHTuWI0eOmMUTFBSEyWQyrjVt2pTMzEx++eUXAMLDw1mzZo2RHF2+fDkvv/yysRs5MzOT6Oho/Pz8cHZ2xt7enqSkpAJ3CB8+fJjMzEzKlClj9n3+/PPPZuUfKlWqZJYMhlsJ9e7du1O5cmUcHR2NNd9rN/KVK1dITk4mMjLSbL6JEyeazXe3KVOm4OTkZByenp4FthUREREREREpKtohLCLFyuDBg9mwYQPffPMNFStWvG/7EiVKULVqVQDq1atHUlISU6ZMITg4mAEDBtC1a1ej7Z1J4IdRqlQp4/PthOjt0gOWlpb07NmT2NhYOnXqxIoVK5g1a9YDz2FjY2OWbC2s5ORkfv31V3JyckhJSTF29z5MbFFRUYSEhLBx40a+/vprpkyZwowZM3jttdcKFUtYWBi5ubls3LiRhg0bsmvXLj744APjfnR0NFu3bmX69OlUrVoVGxsbXnrpJa5fv57veJmZmbi7uxuJ/js5Ozsbn/N7+WBYWBiVKlVi4cKFRm3j2rVrFzjX7fkAFi5cmCeJX7JkyQL7jRo1imHDhhnnGRkZSgqLiIiIiIhIsaOEsIgUC7m5ubz22musW7eO+Ph442VfDyonJ8fYmeri4pKnBrGfnx9nzpwhLS3N2OX73Xff/bHg/09UVBS1a9dm7ty53Lx50yg3cHveL7/80qx9Yeb18/Pj5s2b7N271ygZ8dtvv3HixAlq1qwJ3CqV8Morr9CtWzeqV69OVFQUR48exc3NrVCx5cfT05MBAwYwYMAARo0axcKFC3nttdfw8/NjzZo15ObmGonrhIQEHBwcjAS+tbU1nTp1Yvny5Zw6dYrq1atTv359Y+yEhAQiIiLo2LEjcCsBe/cL9u5Uv359zp49i4WFRYG7mvNz+zktXLiQZs2aAeR54aClpSUA2dnZxrVy5crh4eHBTz/9ZNQ9LgwrKyuzndkiIiIiIiIixZESwiJSLAwaNIgVK1bwxRdf4ODgwNmzZwFwcnLCxsYm3z5TpkwhMDCQKlWqkJWVxVdffcXSpUuZN29egfO0atWKatWq0atXL6ZNm0ZGRgZvv/32I1mDn58fzzzzDCNGjKBPnz5mcQ8YMIAZM2bw1ltvERUVxYEDB4iLi7vvmL6+vrRv356+ffsyf/58HBwcGDlyJBUqVKB9+/bArZfdpaenM3v2bOzt7fnqq6/o06cPGzZsKFRsdxs6dCitW7emWrVqXLx4kR07duDn5wfAwIEDmTlzJq+99hqDBw/mxIkTjB07lmHDhpm9oC48PJx27drx73//m1deeSXPmtauXUtYWBgmk4nRo0cbO63z06pVK4KCgujQoQPvvfce1apV49dff2Xjxo107NiRwMDAfPuVLl2aMmXKsGDBAtzd3UlNTc3zIj83NzdsbGzYvHkzFStWxNraGicnJ2JiYhgyZAhOTk6EhoaSlZXF/v37uXjxotkuYBGRp03K1LZFHYKIiIiIFDHVEBaRYmHevHmkp6cTHByMu7u7caxatcpoExERQXBwsHF+5coVBg4cSK1atWjatClr1qxh2bJlREVFFThPiRIlWLduHb///juNGjUiKiqKSZMmPbJ1REZGcv36dfr06WN23cvLizVr1rB+/Xrq1q3LRx99xOTJkws1ZmxsLA0aNKBdu3YEBQWRm5vLV199RalSpYiPj2fmzJksXboUR0dHSpQowdKlS9m1a1eexHhBsd0tOzubQYMG4efnR2hoKNWqVWPu3LkAVKhQga+++op9+/ZRt25dBgwYQGRkJO+8847ZGC1atMDFxYUTJ07Qo0cPs3vvv/8+pUuXpkmTJoSFhRESEmK2g/huJpOJr776imeffZbevXtTrVo1Xn75ZU6fPk25cuUK7FeiRAlWrlzJgQMHqF27Nm+88QbTpk0za2NhYcHs2bOZP38+Hh4eRpI9KiqKRYsWERsbi7+/P82bNycuLu6hd66LiIiIiIiIFBem3Nzc3KIOQkSkMJo3b85zzz3HuHHjijqUAk2YMIHPPvvM7EVsxUVxju3PKCMjAycnJ9LT03F0dCzqcERERERERORPrrA/h6pkhIg8FdLT00lOTmbjxo1FHUq+btfBnTNnDhMnTizqcMwU59hERERERERE5MlSyQgReSo4OTnxyy+/YG9vX9Sh5Gvw4ME0aNCA4ODg+5ZkeNKKc2wiIiIiIiIi8mQpISwi8gjExcWRlZXFqlWrKFmyZFGHY+bO2CZMmEC9evX+0Hjjxo37w2M8KoWJJTg4mKFDhz6ReERERERERESKOyWERUQeoW+++YawsDA8PDwwmUysX7++yGIp6vkftYddz9q1a5kwYcKjD0hERERERETkKaQawiIij9CVK1eoW7cuffr0oVOnTkUdjgAuLi5FHYKISLHhPbJ41uL/M0qZ2raoQxARERHJl3YIi4g8Qq1bt2bixIl07Nix0H1MJhPz58+nXbt22Nra4ufnx549ezh16hTBwcHY2dnRpEkTkpOTzfp98cUX1K9fH2traypXrkxMTAw3b94EwNvbG4COHTtiMpmM89uWLl2Kt7c3Tk5OvPzyy1y+fBmAJUuWUKZMGbKysszad+jQgVdffTVP7NeuXaNWrVr069fPuJacnIyDgwOffPIJAL/99hvdu3enQoUK2Nra4u/vz6effmo2TnBwMEOGDGH48OG4uLhQvnx5xo0bZ9x/2PXcHvvOkhHe3t5MnjyZPn364ODggJeXFwsWLDAb78yZM3Tt2hVnZ2dcXFxo3749KSkpedYvIiIiIiIi8rRRQlhEpBiYMGECPXv25NChQ9SoUYMePXrQv39/Ro0axf79+8nNzWXw4MFG+127dtGzZ09ef/11jh8/zvz584mLi2PSpEkAJCYmAhAbG0taWppxDrcStuvXr2fDhg1s2LCBnTt3MnXqVAC6dOlCdnY2X375pdH+3LlzbNy4Md8X0llbW7N8+XIWL17MF198QXZ2Nq+88grPP/+80f7atWs0aNCAjRs3cuzYMfr168err77Kvn37zMZavHgxdnZ27N27l/fee4/x48ezdevWP7SegsyYMYPAwEC+//57Bg4cyN///ndOnDgBwI0bNwgJCcHBwYFdu3aRkJCAvb09oaGhXL9+/Z7jioiIiIiIiBR3SgiLiBQDvXv3pmvXrlSrVo0RI0aQkpJCeHg4ISEh+Pn58frrrxMfH2+0j4mJYeTIkfTq1YvKlSvz/PPPM2HCBObPnw+Aq6srAM7OzpQvX944B8jJySEuLo7atWvTrFkzXn31VbZv3w6AjY0NPXr0IDY21mi/bNkyvLy8CA4Ozjf2evXqMXHiRKKiohg6dCinT59m4cKFxv0KFSoQHR1NvXr1qFy5Mq+99hqhoaGsXr3abJw6deowduxYfH196dmzJ4GBgUZcD7uegrRp04aBAwdStWpVRowYQdmyZdmxYwcAq1atIicnh0WLFuHv74+fnx+xsbGkpqaafQd3y8rKIiMjw+wQERERERERKW6UEBYReUImT56Mvb29caSmphr36tSpY3wuV64cAP7+/mbXrl27ZiQZDx8+zPjx483G69u3L2lpaVy9evWecXh7e+Pg4GCcu7u7c+7cOeO8b9++fP311/znP/8BIC4ujoiICEwmU4Fjvvnmm1SrVo05c+bwySefUKZMGeNednY2EyZMwN/fHxcXF+zt7dmyZYvZ+u9+BvnF9bDryc+dc5lMJsqXL2/0OXz4MKdOncLBwcF4ti4uLly7di1P2Y47TZkyBScnJ+Pw9PS8b+wiIiIiIiIiT5peKici8oQMGDCArl27GuceHh7G51KlShmfbyde87uWk5MDQGZmJjExMfm+uM7a2vqecdw57u2xb48LEBAQQN26dVmyZAkvvPAC//73v9m48d4vITp37hw//vgjJUuW5OTJk4SGhhr3pk2bxqxZs5g5cyb+/v7Y2dkxdOjQPOUX7hfXw67nQftkZmbSoEEDli9fnqffnTuT7zZq1CiGDRtmnGdkZCgpLCIiIiIiIsWOEsIiIk+Ii4sLLi4uj2Ss+vXrc+LECapWrVpgm1KlSpGdnf1Q40dFRTFz5kz+85//0KpVq/smNvv06YO/vz+RkZH07duXVq1a4efnB0BCQgLt27fnlVdeAW4ltX/88Udq1qz5QDH9kfU8iPr167Nq1Src3NxwdHQsdD8rKyusrKweY2QiIiIiIiIif5wSwiIij1BmZianTp0yzn/++WcOHTqEi4sLXl5ej2yeMWPG0K5dO7y8vHjppZcoUaIEhw8f5tixY0ycOBG4VUph+/btNG3aFCsrK0qXLl3o8Xv06EF0dDQLFy5kyZIl92z7z3/+kz179nDkyBE8PT3ZuHEj4eHhfPfdd1haWuLr68vnn3/Ot99+S+nSpXn//ff573//+8AJ4T+yngcRHh7OtGnTaN++PePHj6dixYqcPn2atWvXMnz4cCpWrPhY5hUReRJSprYt6hBEREREpIiphrCIyCO0f/9+AgICCAgIAGDYsGEEBAQwZsyYRzpPSEgIGzZs4Ouvv6Zhw4Y888wzfPDBB1SqVMloM2PGDLZu3Yqnp6cRT2E5OTnRuXNn7O3t6dChQ4HtfvjhB9566y3mzp1r7CKeO3cu//vf/xg9ejQA77zzDvXr1yckJITg4GDKly9/zzEL8kfW8yBsbW355ptv8PLyolOnTvj5+REZGcm1a9ceaMewiIiIiIiISHFkys3NzS3qIEREpPhp2bIltWrVYvbs2UUdylMpIyMDJycn0tPTlUgWERERERGRx66wP4eqZISIiJi5ePEi8fHxxMfHM3fu3KIOR0REREREREQeISWERUTETEBAABcvXuTdd9+levXqRR2OiIiIiIiIiDxCqiEsIk+V4OBghg4dWtRhFDvx8fGYTCYuXbpU6D7e3t7MnDkzz/WUlBTS09OJjo7+QzHd/V1dvXqVzp074+jo+MCxPionTpygfPnyXL58udB9Ro4cyWuvvfYYoxIRERERERF5cpQQFhEz33zzDWFhYXh4eGAymVi/fv19+6xdu5bnn38eV1dXHB0dCQoKYsuWLffsc+LECZ577jnKlSuHtbU1lStX5p133uHGjRuPaCVPv3HjxlGvXr1CtW3SpAlpaWk4OTk93qD+gMWLF7Nr1y6+/fbbQsf6MInuexk1ahSvvfYaDg4Oxvjt27fH3d0dOzs76tWrx/Lly836REdHs3jxYn766adHEoOIiIiIiIhIUVLJCBExc+XKFerWrUufPn3o1KlTofp88803PP/880yePBlnZ2diY2MJCwtj7969BAQE5NunVKlS9OzZk/r16+Ps7Mzhw4fp27cvOTk5TJ48+VEu6U/vxo0bWFpaUr58+aIO5Z6Sk5Px8/Ojdu3aRTJ/amoqGzZs4MMPPzSuffvtt9SpU4cRI0ZQrlw5NmzYQM+ePXFycqJdu3YAlC1blpCQEObNm8e0adOKJHYRkUfFe+TGIp0/ZWrbIp1fRERERLRDWETu0rp1ayZOnEjHjh0L3WfmzJkMHz6chg0b4uvry+TJk/H19eVf//pXgX0qV65M7969qVu3LpUqVeLFF18kPDycXbt23Xe+mzdvMnjwYJycnChbtiyjR48mNzfXuJ+VlUV0dDQVKlTAzs6Oxo0bEx8fb9yPi4vD2dmZLVu24Ofnh729PaGhoaSlpRltTCZTnsPb29u4f+zYMVq3bo29vT3lypXj1Vdf5X//+59xPzg4mCFDhjB8+HBcXFwoX74848aNM1vHpUuXiIqKMnZWt2jRgsOHDxsxxsTEcPjwYWP+uLg4I7Z58+bx4osvYmdnx6RJk/LdSbtmzRpq1aqFlZUV3t7ezJgx477P9k7x8fE0atQIOzs7nJ2dadq0KadPnwYgIiKCDh06mLUfOnQowcHB+Y4VHBzMjBkz+OabbzCZTEa7pUuXEhgYiIODA+XLl6dHjx6cO3cOuFW64rnnngOgdOnSmEwmIiIiAMjJyWHKlCn4+PhgY2ND3bp1+fzzz++5ntWrV1O3bl0qVKhgXPvHP/7BhAkTaNKkCVWqVOH1118nNDSUtWvXmvUNCwtj5cqVhXlsIiIiIiIiIsWaEsIi8sjl5ORw+fJlXFxcCt3n1KlTbN68mebNm9+37eLFi7GwsGDfvn3MmjWL999/n0WLFhn3Bw8ezJ49e1i5ciVHjhyhS5cuhIaGcvLkSaPN1atXmT59OkuXLuWbb74hNTXVrGZuWlqacZw6dYqqVavy7LPPArcSuS1atCAgIID9+/ezefNm/vvf/9K1a9c8cdrZ2bF3717ee+89xo8fz9atW437Xbp04dy5c2zatIkDBw5Qv359WrZsyYULF+jWrRtvvvkmtWrVMuLo1q2b0XfcuHF07NiRo0eP0qdPnzzP6MCBA3Tt2pWXX36Zo0ePMm7cOEaPHm0kle/n5s2bdOjQgebNm3PkyBH27NlDv379MJlMhep/t7Vr19K3b1+CgoJIS0szEq43btxgwoQJHD58mPXr15OSkmIkfT09PVmzZg1wq8RIWloas2bNAmDKlCksWbKEjz76iH//+9+88cYbvPLKK+zcubPAGHbt2kVgYOB9Y01PT8/zZ7dRo0b88ssvpKSkPMTqRURERERERIoPlYwQkUdu+vTpZGZm5kmQ5qdJkyYcPHiQrKws+vXrx/jx4+/bx9PTkw8++ACTyUT16tU5evQoH3zwAX379iU1NZXY2FhSU1Px8PAAbtWA3bx5M7GxsUY5ihs3bvDRRx9RpUoV4FYS+c65b5dfyM3NpXPnzjg5OTF//nwA5syZQ0BAgFlpi08++QRPT09+/PFHqlWrBkCdOnUYO3YsAL6+vsyZM4ft27fz/PPPs3v3bvbt28e5c+ewsrIyntv69ev5/PPP6devH/b29lhYWORbCqJHjx707t3bOL+7vu37779Py5YtGT16NADVqlXj+PHjTJs2zUi43ktGRgbp6em0a9fOeEZ+fn737VcQFxcXbG1t85S2uDOZXblyZWbPnk3Dhg3JzMzE3t7eSMy6ubnh7OwM3NoBPnnyZLZt20ZQUJDRd/fu3cyfP7/AXyqcPn36vgnh1atXk5iYaHzXt93+s3T69GmzneJ3ysrKIisryzjPyMi451wiIiIiIiIiRUE7hEXkkVqxYgUxMTGsXr0aNze3+7ZftWoVBw8eZMWKFWzcuJHp06cDt3Zz2tvbG8edL/p65plnzHaqBgUFcfLkSbKzszl69CjZ2dlUq1bNrP/OnTtJTk42+tja2hqJTgB3d3ejVMGd/vGPf7Bnzx6++OILbGxsADh8+DA7duwwG79GjRoAZnPUqVPHbKw75zh8+DCZmZmUKVPGbJyff/7ZbIyC3C+xmZSURNOmTc2uNW3a1HhO9+Pi4kJERAQhISGEhYUxa9Yss5Iaj8qBAwcICwvDy8sLBwcHI5mbmppaYJ9Tp05x9epVnn/+ebNnt2TJkns+u99//x1ra+sC7+/YsYPevXuzcOFCatWqZXbv9nd/9erVAvtPmTIFJycn4/D09CywrYiIiIiIiEhR0Q5hEXlkVq5cSVRUFJ999hmtWrUqVJ/bSbOaNWuSnZ1Nv379ePPNNwkMDOTQoUNGu3LlyhVqvMzMTEqWLMmBAwcoWbKk2T17e3vjc6lSpczumUwmszrEAMuWLeODDz4gPj7erO5sZmYmYWFhvPvuu3nmd3d3v+ccOTk5xhju7u5mtY1vu70T9l7s7Ozu2+aPio2NZciQIWzevJlVq1bxzjvvsHXrVp555hlKlCiR53nduHHjgca/cuUKISEhhISEsHz5clxdXUlNTSUkJITr168X2C8zMxOAjRs3mn0vgLHbOj9ly5bl4sWL+d7buXMnYWFhfPDBB/Ts2TPP/QsXLgDg6upa4PijRo1i2LBhxnlGRoaSwiIiIiIiIlLsKCEsIo/Ep59+Sp8+fVi5ciVt2z7cG8RzcnK4ceMGOTk52NjYULVq1Xzb7d271+z8u+++w9fXl5IlSxIQEEB2djbnzp2jWbNmDxUHwJ49e4iKimL+/Pk888wzZvfq16/PmjVr8Pb2xsLi4f4arV+/PmfPnsXCwqLAEgSWlpaF2s2bHz8/PxISEsyuJSQkUK1atTyJ8nsJCAggICCAUaNGERQUxIoVK3jmmWdwdXXl2LFjZm0PHTqUJwl+Lz/88AO//fYbU6dONRKn+/fvN2tjaWkJYPYcatasiZWVFampqYWqOX3nWo4fP57nenx8PO3atePdd9+lX79++fY9duwYpUqVyrNz+E5WVlb3TEiLiIiIiIiIFAdKCIuImczMTE6dOmWc//zzzxw6dAgXFxe8vLzy7bNixQp69erFrFmzaNy4MWfPngVu/Td7JyenfPssX76cUqVK4e/vj5WVFfv372fUqFF069btvknF1NRUhg0bRv/+/Tl48CAffvghM2bMAG7Vyg0PD6dnz57MmDGDgIAAzp8/z/bt26lTp06hktVnz56lY8eOvPzyy4SEhBjrKVmyJK6urgwaNIiFCxfSvXt3hg8fjouLC6dOnWLlypUsWrSoUAnXVq1aERQURIcOHXjvvfeoVq0av/76Kxs3bqRjx44EBgbi7e1tPP+KFSvi4OBQ6ITjm2++ScOGDZkwYQLdunVjz549zJkzh7lz5xaq/88//8yCBQt48cUX8fDw4MSJE5w8edLYPduiRQumTZvGkiVLCAoKYtmyZRw7doyAgIBCjQ/g5eWFpaUlH374IQMGDODYsWNMmDDBrE2lSpUwmUxs2LCBNm3aYGNjg4ODA9HR0bzxxhvk5OTwt7/9jfT0dBISEnB0dKRXr175zhcSEkJUVBTZ2dnGd7Rjxw7atWvH66+/TufOnY3v2tLS0uzFcrt27aJZs2ZG6QgRkadVytSH+6WtiIiIiPx5qIawiJjZv3+/sSsUYNiwYQQEBDBmzBijzbhx48x2tS5YsICbN28yaNAg3N3djeP111832sTFxZnV/bWwsODdd9+lUaNG1KlTh5iYGAYPHsyiRYvuG2PPnj35/fffadSoEYMGDeL1118329kZGxtLz549efPNN6levTodOnQgMTGxwIT23X744Qf++9//snjxYrP1NGzYELj1grGEhASys7N54YUX8Pf3Z+jQoTg7O1OiROH+WjWZTHz11Vc8++yz9O7dm2rVqvHyyy9z+vRpozxG586dCQ0N5bnnnsPV1ZVPP/20UGPDrR3Iq1evZuXKldSuXZsxY8Ywfvz4Qr1QDm7VWP7hhx/o3Lkz1apVo1+/fgwaNIj+/fsDt5Kro0ePZvjw4TRs2JDLly/nW2rhXlxdXYmLi+Ozzz6jZs2aTJ061aghfVuFChWIiYlh5MiRlCtXjsGDBwMwYcIERo8ezZQpU/Dz8yM0NJSNGzfi4+NT4HytW7fGwsKCbdu2GdcWL17M1atXmTJlitl33alTJ7O+K1eupG/fvg+0PhEREREREZHiyJR7dxFIEZH76NWrFyaTibi4uEL3GTt2LDt37sy3Zq7Ik/LPf/6TL7/8ki1bthS6z6ZNm3jzzTc5cuTIA5UIycjIwMnJifT0dBwdHR8mXBEREREREZFCK+zPoSoZISIPJDc3l/j4eHbv3v1A/TZt2sScOXMeU1QihdO/f38uXbrE5cuXcXBwKFSfK1euEBsb+9D1okVERERERESKE+0QFhEReQy0Q1hERERERESepML+HKoawiIi8tQKDg5m6NCh92xjMplYv379E4lHREREREREpLhTQlhERIq9+Ph4TCYTly5deuC+aWlptG7d+tEHJSIiIiIiIvIUUkFEERHJIzc3l+zs7D9F3dzy5csXdQgiIsWG98iNRR1CoaVMbVvUIYiIiIj8KWmHsIjIn0BwcDCDBw9m8ODBODk5UbZsWUaPHs3tMvFLly4lMDAQBwcHypcvT48ePTh37pzR//YO3E2bNtGgQQOsrKzYvXs3ycnJtG/fnnLlymFvb0/Dhg3Ztm2b0e+HH37A1taWFStWGNdWr16NjY0Nx48fByAxMZHnn3+esmXL4uTkRPPmzTl48KBZ/CaTiUWLFtGxY0dsbW3x9fXlyy+/BCAlJYXnnnsOgNKlS2MymYiIiDD65uTkMHz4cFxcXChfvjzjxo3LM/btkhEpKSmYTCbWrl3Lc889h62tLXXr1mXPnj1mfXbv3k2zZs2wsbHB09OTIUOGcOXKlYf4ZkRERERERESKFyWERUT+JBYvXoyFhQX79u1j1qxZvP/++yxatAiAGzduMGHCBA4fPsz69etJSUkxS6reNnLkSKZOnUpSUhJ16tQhMzOTNm3asH37dr7//ntCQ0MJCwsjNTUVgBo1ajB9+nQGDhxIamoqv/zyCwMGDODdd9+lZs2aAFy+fJlevXqxe/duvvvuO3x9fWnTpg2XL182mzsmJoauXbty5MgR2rRpQ3h4OBcuXMDT05M1a9YAcOLECdLS0pg1a5bZuu3s7Ni7dy/vvfce48ePZ+vWrfd8Vm+//TbR0dEcOnSIatWq0b17d27evAlAcnIyoaGhdO7cmSNHjrBq1Sp2797N4MGDH+6LERERERERESlGTLm3t4+JiMhTKzg4mHPnzvHvf/8bk8kE3Erufvnll8ZO3Tvt37+fhg0bcvnyZezt7YmPj+e5555j/fr1tG/f/p5z1a5dmwEDBpglSNu1a0dGRgaWlpaULFmSzZs3G3HcLScnB2dnZ1asWEG7du2AW7t433nnHSZMmADAlStXsLe3Z9OmTYSGhhrxXbx4EWdnZ7N1Z2dns2vXLuNao0aNaNGiBVOnTjXGXrduHR06dCAlJQUfHx8WLVpEZGQkAMePH6dWrVokJSVRo0YNoqKiKFmyJPPnzzfG3L17N82bN+fKlStYW1vnu66srCyysrKM84yMDDw9Pe/7dlcRkSdJJSNERERE/rwyMjJwcnK678+h2iEsIvIn8cwzz5glYYOCgjh58iTZ2dkcOHCAsLAwvLy8cHBwoHnz5gDGTt/bAgMDzc4zMzOJjo7Gz88PZ2dn7O3tSUpKytPvk08+4ciRIxw8eJC4uDizOP773//St29ffH19cXJywtHRkczMzDxj1KlTx/hsZ2eHo6OjWVmLgtzZD8Dd3f2+/e7s4+7uDmD0OXz4MHFxcdjb2xtHSEgIOTk5/PzzzwWOOWXKFJycnIzD09PzvrGLiIiIiIiIPGlP/9uCRETknq5du0ZISAghISEsX74cV1dXUlNTCQkJ4fr162Zt7ezszM6jo6PZunUr06dPp2rVqtjY2PDSSy/l6Xf48GGuXLlCiRIlSEtLM5KsAL169eK3335j1qxZVKpUCSsrK4KCgvKMUapUKbNzk8lETk7Ofdf3MP3u7HM7eX27T2ZmJv3792fIkCF5+nl5eRU45qhRoxg2bJhxfnuHsIiIiIiIiEhxooSwiMifxN69e83Ob9fr/eGHH/jtt9+YOnWqkaDcv39/ocZMSEggIiKCjh07AreSpSkpKWZtLly4QEREBG+//TZpaWmEh4dz8OBBbGxsjDHmzp1LmzZtADhz5gz/+9//HmhtlpaWAGRnZz9Qv4dRv359jh8/TtWqVR+on5WVFVZWVo8pKhEREREREZFHQwlhEZE/idTUVIYNG0b//v05ePAgH374ITNmzMDLywtLS0s+/PBDBgwYwLFjx4xavffj6+vL2rVrCQsLw2QyMXr06Dy7bwcMGICnpyfvvPMOWVlZBAQEEB0dzT//+U9jjKVLlxIYGEhGRgZvvfWWkSwurEqVKmEymdiwYQNt2rTBxsYGe3v7BxqjsEaMGMEzzzzD4MGDiYqKws7OjuPHj7N161bmzJnzWOYUEXlSVJdXRERERFRDWETkT6Jnz578/vvvNGrUiEGDBvH666/Tr18/XF1diYuL47PPPqNmzZpMnTqV6dOnF2rM999/n9KlS9OkSRPCwsIICQmhfv36xv0lS5bw1VdfsXTpUiwsLLCzs2PZsmUsXLiQTZs2AfDxxx9z8eJF6tevz6uvvsqQIUNwc3N7oLVVqFCBmJgYRo4cSbly5cxeaPeo1alTh507d/Ljjz/SrFkzAgICGDNmDB4eHo9tThEREREREZEnxZSbm5tb1EGIiMgfExwcTL169Zg5c2ZRhyL/p7BvdxURERERERF5FAr7c6h2CIuIiIiIiIiIiIj8RSghLCIiIiIiIiIiIvIXoYSwiEgRePbZZ1mxYsUfHmf9+vVUrVqVXbt2PYKo/pi4uDicnZ2N848++oiwsLAHHic+Ph6TycSlS5ceSVzjxo2jXr16j2QsERERERERkaedEsIiIg8hIiICk8nE1KlTza6vX78ek8l0z75ffvkl//3vf3n55ZcBuHDhAq+99hrVq1fHxsYGLy8vhgwZQnp6+n3j6N+/Py+99BJnzpxhwoQJD7+gx6BPnz4cPHiwyJPV0dHRbN++vUhjEBERERERESkuLIo6ABGRp5W1tTXvvvsu/fv3p3Tp0oXuN3v2bHr37k2JErd+J/frr7/y66+/Mn36dGrWrMnp06cZMGAAv/76K59//nmB42RmZnLu3DlCQkLw8PB46HVcv34dS0vLh+5fEEtLS3r06MHs2bNp1qzZIx+/sOzt7bG3ty+y+UVEihPvkRsf2VgpU9s+srFERERE5MnRDmERkYfUqlUrypcvz5QpUwrd5/z58/x//9//Z1ZKoXbt2qxZs4awsDCqVKlCixYtmDRpEv/617+4efNmvuPEx8fj4OAAQIsWLTCZTMTHx+dbHmHmzJl4e3sb5xEREXTo0IFJkybh4eFB9erVATh69CgtWrTAxsaGMmXK0K9fPzIzMwH45ptvKFWqFGfPnjUbe+jQofdM9oaFhfHll1/y+++/G9e+/fZb6tWrh7W1NYGBgcau6kOHDuXpf+XKFRwdHfMkxtevX4+dnR2XL18G4JdffqF79+64uLhgZ2dHYGAge/fuBfKWjLi9/unTp+Pu7k6ZMmUYNGgQN27cMNpkZWURHR1NhQoVsLOzo3HjxsTHxxe4ThEREREREZGnhRLCIiIPqWTJkkyePJkPP/yQX375pVB9du/eja2tLX5+fvdsl56ejqOjIxYW+f9HjiZNmnDixAkA1qxZQ1paGk2aNCl07Nu3b+fEiRNs3bqVDRs2cOXKFUJCQihdujSJiYl89tlnbNu2jcGDBwO3ah5XrlyZpUuXGmPcuHGD5cuX06dPnwLnCQwM5ObNm0ZyNiMjg7CwMPz9/Tl48CATJkxgxIgRBfa3s7Pj5ZdfJjY21ux6bGwsL730Eg4ODmRmZtK8eXP+85//8OWXX3L48GGGDx9OTk5OgePu2LGD5ORkduzYweLFi4mLiyMuLs64P3jwYPbs2cPKlSs5cuQIXbp0ITQ0lJMnTxY4ZlZWFhkZGWaHiIiIiIiISHGjkhEiIn9Ax44dqVevHmPHjuXjjz++b/vTp09Trlw5o1xEfv73v/8xYcIE+vXrV2AbS0tL3NzcAHBxcaF8+fIPFLednR2LFi0ySkUsXLiQa9eusWTJEuzs7ACYM2cOYWFhvPvuu5QrV47IyEhiY2N56623APjXv/7FtWvX6Nq1a4Hz2Nra4uTkxOnTpwFYsWIFJpOJhQsXYm1tTc2aNfnPf/5D3759CxwjKiqKJk2akJaWhru7O+fOneOrr75i27Ztxpjnz58nMTERFxcXAKpWrXrP9ZcuXZo5c+ZQsmRJatSoQdu2bdm+fTt9+/YlNTWV2NhYUlNTjVIc0dHRbN68mdjYWCZPnpzvmFOmTCEmJuae84qIiIiIiIgUNe0QFhH5g959910WL15MUlKS2fXbtWvt7e0ZMGAAAL///jvW1tYFjpWRkUHbtm2pWbMm48aNM67XqlXLGKt169Z/OGZ/f3+zusFJSUnUrVvXSAYDNG3alJycHGMnckREBKdOneK7774DIC4ujq5du5r1yY+NjQ1Xr14F4MSJE9SpU8fsGTRq1Oie/Rs1akStWrVYvHgxAMuWLaNSpUo8++yzABw6dIiAgAAjGVwYtWrVomTJksb57UQz3CqdkZ2dTbVq1cy+w507d5KcnFzgmKNGjSI9Pd04zpw5U+h4RERERERERJ4U7RAWEfmDnn32WUJCQhg1ahQRERHG9Ttr4jo6OgJQtmxZLl68mO84ly9fJjQ0FAcHB9atW0epUqWMe1999ZVR49bGxqbAWEqUKEFubq7ZtTtr4952vyRuftzc3AgLCyM2NhYfHx82bdpUqLq6Fy5cwNXV9YHnu1NUVBT//Oc/GTlyJLGxsfTu3RuTyQTc+3kU5M5nC2AymYwSE5mZmZQsWZIDBw6YJY2Be76czsrKCisrqweORURERERERORJUkJYROQRmDp1KvXq1TNe0Ab5ly0ICAjg7NmzXLx4kdKlSxvXMzIyCAkJwcrKii+//DLPLuJKlSoVKg5XV1fOnj1Lbm6ukTDN72Vtd/Pz8yMuLo4rV64YyeKEhARKlChhtqaoqCi6d+9OxYoVqVKlCk2bNr3nuMnJyVy7do2AgAAAqlevzrJly8jKyjKSp4mJifeN75VXXmH48OHMnj2b48eP06tXL+NenTp1WLRoERcuXHigXcIFCQgIIDs7m3Pnzt3zhXkiIiIiIiIiTyMlhEVEHgF/f3/Cw8OZPXv2PdsFBARQtmxZEhISaNeuHXArGfzCCy9w9epVli1bZvZCMldX1zy7VO8lODiY8+fP89577/HSSy+xefNmNm3aZOxQLkh4eDhjx46lV69ejBs3jvPnz/Paa6/x6quvUq5cOaNdSEgIjo6OTJw4kfHjx983nl27dlG5cmWqVKkCQI8ePXj77bfp168fI0eOJDU1lenTpwMYCez8lC5dmk6dOvHWW2/xwgsvULFiReNe9+7dmTx5Mh06dGDKlCm4u7vz/fff4+HhQVBQ0H1jvFu1atUIDw+nZ8+ezJgxg4CAAM6fP8/27dupU6cObdu2feAxRUSKi5Sp+jtMRERE5K9ONYRFRB6R8ePHG2UHClKyZEl69+7N8uXLjWsHDx5k7969HD16lKpVq+Lu7m4cD1qH1s/Pj7lz5/LPf/6TunXrsm/fPqKjo+/bz9bWli1btnDhwgUaNmzISy+9RMuWLZkzZ45ZuxIlShAREUF2djY9e/a877iffvqp2QvjHB0d+de//sWhQ4eoV68eb7/9NmPGjAG4Z21lgMjISK5fv06fPn3MrltaWvL111/j5uZGmzZt8Pf3Z+rUqQ+USL9bbGwsPXv25M0336R69ep06NCBxMREvLy8HnpMERERERERkeLAlHt3sUkREXmszp49S61atTh48GChS0EUJ5GRkZw/f54vv/zynu3+/e9/06JFC3788UecnJwKbLd8+XJ69+5Nenr6PesBL126lDfeeINff/3V7IV4xVVGRgZOTk6kp6ffd4e2iIiIiIiIyB9V2J9DVTJCROQJK1++PB9//DGpqalPVUI4PT2do0ePsmLFivsmgwHS0tJYsmRJnmTwkiVLqFy5MhUqVODw4cOMGDGCrl27FpgMvnr1KmlpaUydOpX+/fs/FclgERERERERkeJKCWERkSLQoUOHog7hgbVv3559+/YxYMAAnn/++fu2b9WqVb7Xz549y5gxYzh79izu7u506dKFSZMmFTjOe++9x6RJk3j22WcZNWrUQ8cvIiIiIiIiIioZISLylxIREcGlS5dYv359kY7xqBQmFm9vb4YOHcrQoUOfWFygkhEiIiIiIiLyZBX251C9VE5E5BHy9vbGZDLlOQYNGvRE40hJScFkMnHo0KEnOu/j8kfWk5iYSL9+/R59UCIiIiIiIiJPIZWMEBF5hBITE8nOzjbOjx07xvPPP0+XLl2KMKq/NldX16IOQUT+JLxHbizqEP6wlKltizoEERERESli2iEsIvIIubq6Ur58eePYsGEDVapUoXnz5vm2v73zdfXq1TRr1gwbGxsaNmzIjz/+SGJiIoGBgdjb29O6dWvOnz9v1nfRokX4+flhbW1NjRo1mDt3rnHPx8cHgICAAEwmE8HBwWZ9p0+fjru7O2XKlGHQoEHcuHEDgPHjx1O7du08cdarV4/Ro0fnuX7+/HnKly/P5MmTjWvffvstlpaWbN++HYDk5GTat29PuXLlsLe3p2HDhmzbts1sHG9vbyZPnkyfPn1wcHDAy8uLBQsW/OH13B575syZxrnJZGLRokV07NgRW1tbfH1987wk79ixY7Ru3Rp7e3vKlSvHq6++yv/+97886xcRERERERF52ighLCLymFy/fp1ly5bRp08fTCbTPduOHTuWd955h4MHD2JhYUGPHj0YPnw4s2bNYteuXZw6dYoxY8YY7ZcvX86YMWOYNGkSSUlJTJ48mdGjR7N48WIA9u3bB8C2bdtIS0tj7dq1Rt8dO3aQnJzMjh07WLx4MXFxccTFxQHQp08fkpKSSExMNNp///33HDlyhN69e+eJ29XVlU8++YRx48axf/9+Ll++zKuvvsrgwYNp2bIlAJmZmbRp04bt27fz/fffExoaSlhYGKmpqWZjzZgxg8DAQL7//nsGDhzI3//+d06cOPGH1lOQmJgYunbtypEjR2jTpg3h4eFcuHABgEuXLtGiRQsCAgLYv38/mzdv5r///S9du3a955hZWVlkZGSYHSIiIiIiIiLFjRLCIiKPyfr167l06RIRERH3bRsdHU1ISAh+fn68/vrrHDhwgNGjR9O0aVMCAgKIjIxkx44dRvuxY8cyY8YMOnXqhI+PD506deKNN95g/vz5wP8rk1CmTBnKly+Pi4uL0bd06dLMmTOHGjVq0K5dO9q2bWvs5q1YsSIhISHExsYa7WNjY2nevDmVK1fON/Y2bdrQt29fwsPDGTBgAHZ2dkyZMsW4X7duXfr370/t2rXx9fVlwoQJVKlSJc+u3DZt2jBw4ECqVq3KiBEjKFu2rLHmh11PQSIiIujevTtVq1Zl8uTJZGZmGknnOXPmEBAQwOTJk6lRowYBAQF88skn7Nixgx9//LHAMadMmYKTk5NxeHp63jMGERERERERkaKghLCIyGPy8ccf07p1azw8PAAYMGAA9vb2xnGnOnXqGJ/LlSsHgL+/v9m1c+fOAXDlyhWSk5OJjIw0G2/ixIkkJyffN65atWpRsmRJ49zd3d0YG6Bv3758+umnXLt2jevXr7NixQr69OlzzzGnT5/OzZs3+eyzz1i+fDlWVlbGvczMTKKjo/Hz88PZ2Rl7e3uSkpLy7BC+8xmYTCbKly9vFtfDric/d85lZ2eHo6Oj0efw4cPs2LHD7NnWqFED4J7Pd9SoUaSnpxvHmTNn7hu7iIiIiIiIyJOml8qJiDwGp0+fZtu2bWalDcaPH090dHS+7UuVKmV8vl1e4u5rOTk5wK0EK8DChQtp3Lix2Th3JkYLcue4d48NEBYWhpWVFevWrcPS0pIbN27w0ksv3XPM5ORkfv31V3JyckhJSTFLZkdHR7N161amT59O1apVsbGx4aWXXuL69esPFNfDrudB+2RmZhIWFsa7776bp5+7u3uBY1pZWZklwkVERERERESKIyWERUQeg9jYWNzc3Gjb9v+9zd3NzQ03N7c/PHa5cuXw8PDgp59+Ijw8PN82lpaWAGRnZz/w+BYWFvTq1YvY2FgsLS15+eWXsbGxKbD99evXeeWVV+jWrRvVq1cnKiqKo0ePGmtNSEggIiKCjh07ArcSrikpKQ8U0x9Zz4OqX78+a9aswdvbGwsL/TMpIiIiIiIify76SVdE5BHLyckhNjaWXr16PbaEYkxMDEOGDMHJyYnQ0FCysrLYv38/Fy9eZNiwYbi5uWFjY8PmzZupWLEi1tbWODk5FXr8qKgo/Pz8gFsJ3Xt5++23SU9PZ/bs2djb2/PVV1/Rp08fNmzYAICvry9r164lLCwMk8nE6NGjC7Xz905/dD0PYtCgQSxcuJDu3bszfPhwXFxcOHXqFCtXrmTRokWF2oUtIn9OKVPb3r+RiIiIiEgxpxrCIiKP2LZt20hNTb1v3d0/IioqikWLFhEbG4u/vz/NmzcnLi4OHx8f4NYu39mzZzN//nw8PDxo3779A43v6+tLkyZNqFGjRp6yFHeKj49n5syZLF26FEdHR0qUKMHSpUvZtWsX8+bNA+D999+ndOnSNGnShLCwMEJCQqhfv/4DxfNH1/MgPDw8SEhIIDs7mxdeeAF/f3+GDh2Ks7MzJUron00RERERERF5uplyc3NzizoIEREpXnJzc/H19WXgwIEMGzasqMN5KmVkZODk5ER6ejqOjo5FHY6IiIiIiIj8yRX251CVjBARETPnz59n5cqVnD17lt69exd1OCIiIiIiIiLyCCkhLCIiZtzc3ChbtiwLFiygdOnSRR2OiIiIiIiIiDxCKoYoIk+tiIgIOnToUORjFIVx48ZRr169PzRGfHw8JpOJS5cumV3Pzc3l/Pnz9OjR4w+Nn5KSgslk4tChQ8a1hIQE/P39KVWqVJE999GjR9OvX78H6vPMM8+wZs2axxSRiIiIiIiIyJOjhLCI5GvevHnUqVMHR0dHHB0dCQoKYtOmTUUSS36JxafF0xz74zBs2DDq1avHzz//TFxcXKH6PMqk/dmzZ5k1axZvv/22ce2bb74hLCwMDw8PTCYT69evz9PvnXfeYeTIkeTk5DySOERERERERESKikpGiEi+KlasyNSpU/H19SU3N5fFixfTvn17vv/+e2rVqlXU4clTKjk5mQEDBlCxYsUimX/RokU0adKESpUqGdeuXLlC3bp16dOnD506dcq3X+vWrYmKimLTpk20bdv2SYUrIvLIeY/c+EjGSZmqvwtFREREnlbaISwi+QoLC6NNmzb4+vpSrVo1Jk2ahL29Pd99912BfW7vhl29ejXNmjXDxsaGhg0b8uOPP5KYmEhgYCD29va0bt2a8+fPm/VdtGgRfn5+WFtbU6NGDebOnWvc8/HxASAgIACTyURwcLBZ3+nTp+Pu7k6ZMmUYNGgQN27cAGD8+PHUrl07T5z16tVj9OjRhX4WCQkJBAcHY2trS+nSpQkJCeHixYsAbN68mb/97W84OztTpkwZ2rVrR3JycqFiv9eaAX755Re6d++Oi4sLdnZ2BAYGsnfvXrM2S5cuxdvbGycnJ15++WUuX75s3MvKymLIkCG4ublhbW3N3/72NxITEwu97tzcXMaNG4eXlxdWVlZ4eHgwZMgQ435+u2mdnZ3z3fl7+8/Gb7/9Rp8+fTCZTMTFxZGdnU1kZCQ+Pj7Y2NhQvXp1Zs2aZfQbN24cixcv5osvvsBkMmEymYiPjwfgzJkzdO3aFWdnZ1xcXGjfvj0pKSn3XNPKlSsJCwszu9a6dWsmTpxIx44dC+xXsmRJ2rRpw8qVK+85voiIiIiIiEhxp4SwiNxXdnY2K1eu5MqVKwQFBd23/dixY3nnnXc4ePAgFhYW9OjRg+HDhzNr1ix27drFqVOnGDNmjNF++fLljBkzhkmTJpGUlMTkyZMZPXo0ixcvBmDfvn0AbNu2jbS0NNauXWv03bFjB8nJyezYsYPFixcTFxdnJCT79OlDUlKSWRL0+++/58iRI/Tu3btQaz906BAtW7akZs2a7Nmzh927dxMWFkZ2djZwa3fpsGHD2L9/P9u3b6dEiRJ07NjRKC1QUOz3W3NmZibNmzfnP//5D19++SWHDx9m+PDhZiULkpOTWb9+PRs2bGDDhg3s3LmTqVOnGveHDx/OmjVrWLx4MQcPHqRq1aqEhIRw4cKFQq19zZo1fPDBB8yfP5+TJ0+yfv16/P39C9X3bp6enqSlpeHo6MjMmTNJS0ujW7du5OTkULFiRT777DOOHz/OmDFj+Mc//sHq1asBiI6OpmvXroSGhpKWlkZaWhpNmjThxo0bhISE4ODgwK5du0hISMDe3p7Q0FCuX7+ebwwXLlzg+PHjBAYGPtQaGjVqxK5duwq8n5WVRUZGhtkhIiIiIiIiUtyoZISIFOjo0aMEBQVx7do17O3tWbduHTVr1rxvv+joaEJCQgB4/fXX6d69O9u3b6dp06YAREZGmu0iHTt2LDNmzDD+u76Pjw/Hjx9n/vz59OrVC1dXVwDKlClD+fLlzeYqXbo0c+bMoWTJktSoUYO2bduyfft2+vbtS8WKFQkJCSE2NpaGDRsCEBsbS/PmzalcuXKhnsF7771HYGCg2e7dO0tmdO7c2az9J598gqurK8ePH6d27doFxn6/Na9YsYLz58+TmJiIi4sLAFWrVjWbKycnh7i4OBwcHAB49dVX2b59O5MmTeLKlSvMmzePuLg4WrduDcDChQvZunUrH3/8MW+99dZ9156amkr58uVp1aoVpUqVwsvLi0aNGhXqud2tZMmSlC9fHpPJhJOTk9mziImJMT77+PiwZ88eVq9eTdeuXbG3t8fGxoasrCyzPsuWLSMnJ4dFixZhMpmAW9+ts7Mz8fHxvPDCC/muJzc3Fw8Pj4dag4eHB2fOnCEnJ4cSJfL+PnXKlClmaxEREREREREpjrRDWEQKVL16dQ4dOsTevXv5+9//Tq9evTh+/DgAAwYMwN7e3jjuVKdOHeNzuXLlAMx2lpYrV45z584Bt3bYJicnExkZaTbexIkTzUovFKRWrVqULFnSOHd3dzfGBujbty+ffvop165d4/r166xYsYI+ffoU+hnc3iFckJMnT9K9e3cqV66Mo6Mj3t7ewK3kY0EKs+ZDhw4REBBgJIPz4+3tbSSDwXztycnJ3Lhxw0jCA5QqVYpGjRqRlJRUqLV36dKF33//ncqVK9O3b1/WrVvHzZs3C9X3Qfzzn/+kQYMGuLq6Ym9vz4IFC+75/AAOHz7MqVOncHBwMJ6fi4sL165dK/DPze+//w6AtbX1Q8VpY2NDTk4OWVlZ+d4fNWoU6enpxnHmzJmHmkdERERERETkcdIOYREpkKWlpbErtUGDBiQmJjJr1izmz5/P+PHjiY6OzrdfqVKljM+3d2/efe126YPMzEzg1u7Vxo0bm41zZ6K3IHeOe/fYcKsWspWVFevWrcPS0pIbN27w0ksv3Xfc22xsbO55PywsjEqVKrFw4UI8PDzIycmhdu3aBZYtgMKt+X7zwv3X/kd5enpy4sQJtm3bxtatWxk4cCDTpk1j586dlCpVCpPJRG5urlmf2/WbC2vlypVER0czY8YMgoKCcHBwYNq0aXlqJd8tMzOTBg0asHz58jz3bu/KvlvZsmUBuHjxYoFt7uXChQvY2dkV+N1YWVlhZWX1wOOKiIiIiIiIPElKCItIod25O9LNzQ03N7c/PGa5cuXw8PDgp59+Ijw8PN82lpaWAEbd3gdhYWFBr169iI2NxdLSkpdffrlQydbb6tSpw/bt2/MtBfDbb79x4sQJFi5cSLNmzQDYvXv3fWMvzJrr1KnDokWLuHDhwj13CRekSpUqWFpakpCQQKVKlYBbydrExESGDh1a6HFsbGwICwsjLCyMQYMGUaNGDY4ePUr9+vVxdXUlLS3NaHvy5EmuXr36QHEmJCTQpEkTBg4caFy7e4evpaVlnu++fv36rFq1Cjc3NxwdHQs1V5UqVXB0dOT48eNUq1btgeIEOHbsGAEBAQ/cT0RERERERKQ4UUJYRPI1atQoWrdujZeXF5cvX2bFihXEx8ezZcuWRz5XTEwMQ4YMwcnJidDQULKysti/fz8XL15k2LBhuLm5YWNjw+bNm6lYsSLW1tY4OTkVevyoqCj8/PyAWwnIBzFq1Cj8/f0ZOHAgAwYMwNLSkh07dtClSxdcXFwoU6YMCxYswN3dndTUVEaOHGnWv6DY77fm7t27M3nyZDp06MCUKVNwd3fn+++/x8PDo1Av9rOzs+Pvf/87b731Fi4uLnh5efHee+9x9epVIiMjC7X2uLg4srOzady4Mba2tixbtgwbGxsjwdyiRQvmzJlDUFAQ2dnZjBgxIs+u5fvx9fVlyZIlbNmyBR8fH5YuXUpiYiI+Pj5GG29vb7Zs2cKJEycoU6YMTk5OhIeHM23aNNq3b8/48eOpWLEip0+fZu3atQwfPpyKFSvmmatEiRK0atWK3bt306FDB+N6ZmYmp06dMs5//vlnDh06ZDy323bt2pVvbWIRkadJytS2RR2CiIiIiBQx1RAWkXydO3eOnj17Ur16dVq2bEliYiJbtmzh+eeff+RzRUVFsWjRImJjY/H396d58+bExcUZSUELCwtmz57N/Pnz8fDwoH379g80vq+vL02aNKFGjRp5SjTcT7Vq1fj66685fPgwjRo1IigoiC+++AILCwtKlCjBypUrOXDgALVr1+aNN95g2rRpZv0Liv1+a7a0tOTrr7/Gzc2NNm3a4O/vz9SpUwtVRuO2qVOn0rlzZ1599VXq16/PqVOn2LJlC6VLly5Uf2dnZxYuXEjTpk2pU6cO27Zt41//+hdlypQBYMaMGXh6etKsWTN69OhBdHQ0tra2hY4PoH///nTq1Ilu3brRuHFjfvvtN7PdwnCrDnT16tUJDAzE1dWVhIQEbG1t+eabb/Dy8qJTp074+fkRGRnJtWvX7rljOCoqipUrV5qV1ti/fz8BAQHG7t9hw4YREBDAmDFjjDb/+c9/+Pbbb+ndu/cDrU9ERERERESkuDHl3l0AUkTkTyY3NxdfX18GDhzIsGHDijocKUK5ubk0btyYN954g+7duxe634gRI7h48SILFiwodJ+MjAycnJxIT08vdFkLERERERERkYdV2J9DtUNYRP7Uzp8/z5w5czh79qx2dwomk4kFCxZw8+bNB+rn5ubGhAkTHlNUIiIiIiIiIk+OdgiLyJ+ayWSibNmyzJo1ix49ehR1OPIXoh3CIiIiIiIi8iRph7CICLdKBJw/f17J4GLG29ubmTNn/unmEhERERERESnuLIo6ABER+etJTEzEzs7uTzeXiIiIiIiISHGnhLCIiDxxrq6uj32O69evY2lp+UTmEhF5WniP3FjUIYg8MilT2xZ1CCIiIk8llYwQEZFHLjg4mMGDBzN48GCcnJwoW7Yso0eP5nbZ+rvLOJhMJubNm0fr1q2xsbGhcuXKfP7552Zjnjlzhq5du+Ls7IyLiwvt27cnJSXFuB8REUGHDh2YNGkSHh4eVK9evcC5Fi1aRMeOHbG1tcXX15cvv/zSbK5jx47RunVr7O3tKVeuHK+++ir/+9//Hu1DEhERERERESkCSgiLiMhjsXjxYiwsLNi3bx+zZs3i/fffZ9GiRQW2Hz16NJ07d+bw4cOEh4fz8ssvk5SUBMCNGzcICQnBwcGBXbt2kZCQgL29PaGhoVy/ft0YY/v27Zw4cYKtW7eyYcOGAueKiYmha9euHDlyhDZt2hAeHs6FCxcAuHTpEi1atCAgIID9+/ezefNm/vvf/9K1a9d7rjcrK4uMjAyzQ0RERERERKS4UUJYREQeC09PTz744AOqV69OeHg4r732Gh988EGB7bt06UJUVBTVqlVjwoQJBAYG8uGHHwKwatUqcnJyWLRoEf7+/vj5+REbG0tqairx8fHGGHZ2dixatIhatWpRq1atAueKiIige/fuVK1alcmTJ5OZmcm+ffsAmDNnDgEBAUyePJkaNWoQEBDAJ598wo4dO/jxxx8LHHPKlCk4OTkZh6en5wM+MREREREREZHHTwlhERF5LJ555hlMJpNxHhQUxMmTJ8nOzs63fVBQUJ7z2zuEDx8+zKlTp3BwcMDe3h57e3tcXFy4du0aycnJRh9/f38sLS3vG1udOnWMz3Z2djg6OnLu3Dljrh07dhjz2NvbU6NGDQCzue42atQo0tPTjePMmTP3jUNERERERETkSdNL5UREpNjLzMykQYMGLF++PM+9O18aZ2dnV6jxSpUqZXZuMpnIyckx5goLC+Pdd9/N08/d3b3AMa2srLCysirU/CIiIiIiIiJFRQlhERF5LPbu3Wt2/t133+Hr60vJkiXzbf/dd9/Rs2dPs/OAgAAA6tevz6pVq3Bzc8PR0fHxBf1/c61ZswZvb28sLPTPpIj8uaRMbVvUIYiIiIhIEVPJCBEReSxSU1MZNmwYJ06c4NNPP+XDDz/k9ddfL7D9Z599xieffMKPP/7I2LFj2bdvH4MHDwYgPDycsmXL0r59e3bt2sXPP/9MfHw8Q4YM4ZdffnmkcQ8aNIgLFy7QvXt3EhMTSU5OZsuWLfTu3bvAchciIiIiIiIiTwttfRIRkceiZ8+e/P777zRq1IiSJUvy+uuv069fvwLbx8TEsHLlSgYOHIi7uzuffvopNWvWBMDW1pZvvvmGESNG0KlTJy5fvkyFChVo2bLlI98x7OHhQUJCAiNGjOCFF14gKyuLSpUqERoaSokS+j2qiIiIiIiIPN1Mubm5uUUdhIiI/LkEBwdTr149Zs6cWaj2JpOJdevW0aFDh8ca15OUkZGBk5MT6enpj73MhYiIiIiIiEhhfw7VVicRERERERERERGRvwglhEXkLy83N5d+/frh4uKCyWTi0KFDj3W+4OBghg4dapx7e3sXeiftk4gnP0UdY35SUlLyfF8JCQn4+/tTqlSpP9VuYxEREREREZFHRTWEReQvb/PmzcTFxREfH0/lypUpW7bsE50/MTEROzu7JzrnndauXUupUqUe2XgrV65k586dODs7F7rPo6peNGzYMOrVq8emTZuwt7cvVJ+IiAguXbrE+vXrH0kMIiIiIiIiIsWZEsIi8peXnJyMu7s7TZo0eegxcnNzyc7OxsLiwf9adXV1feh5HwUXF5dHNlZKSgrR0dE0a9bskY35IJKTkxkwYAAVK1YskvlFRIo775Ebi3T+lKlti3R+EREREVHJCBH5i4uIiOC1114jNTUVk8mEt7c3ADk5OUyZMgUfHx9sbGyoW7cun3/+udEvPj4ek8nEpk2baNCgAVZWVuzevZuIiIg8pQqGDh1KcHBwgTHcXY7h0qVL9O/fn3LlymFtbU3t2rXZsGFDgf3ff/99/P39sbOzw9PTk4EDB5KZmWnWJiEhgeDgYGxtbSldujQhISFcvHgRyFsy4ty5c4SFhWFjY4OPjw/Lly+/90P8P9nZ2YSHhxMTE0PlypXv2z43N5dx48bh5eWFlZUVHh4eDBkyxLhvMpny7Np1dnYmLi4uz1i3y0f89ttv9OnTB5PJRFxcHNnZ2URGRhrfY/Xq1Zk1a5bRb9y4cSxevJgvvvgCk8mEyWQiPj4egDNnztC1a1ecnZ1xcXGhffv2pKSkFOpZiIiIiIiIiBRX2iEsIn9ps2bNokqVKixYsIDExERKliwJwJQpU1i2bBkfffQRvr6+fPPNN7zyyiu4urrSvHlzo//IkSOZPn06lStXpnTp0n84npycHFq3bs3ly5dZtmwZVapU4fjx40Zc+SlRogSzZ8/Gx8eHn376iYEDBzJ8+HDmzp0LwKFDh2jZsiV9+vRh1qxZWFhYsGPHDrKzs/MdLyIigl9//ZUdO3ZQqlQphgwZwrlz5+4b+/jx43FzcyMyMpJdu3bdt/2aNWv44IMPWLlyJbVq1eLs2bMcPnz4vv3y4+npSVpaGtWrV2f8+PF069YNJycncnJyqFixIp999hllypTh22+/pV+/fri7u9O1a1eio6NJSkoiIyOD2NhY4NaO6Rs3bhASEkJQUBC7du3CwsKCiRMnEhoaypEjR7C0tHyoOEVERERERESKmhLCIvKX5uTkhIODAyVLlqR8+fIAZGVlMXnyZLZt20ZQUBAAlStXZvfu3cyfP98sITx+/Hief/75RxbPtm3b2LdvH0lJSVSrVs2Y+17ufkHdxIkTGTBggJEQfu+99wgMDDTOAWrVqpXvWD/++CObNm1i3759NGzYEICPP/4YPz+/e8awe/duPv744wd6IV9qairly5enVatWlCpVCi8vLxo1alTo/ne6/f2ZTCacnJyM7xIgJibG+Ozj48OePXtYvXo1Xbt2xd7eHhsbG7Kyssz6LFu2jJycHBYtWoTJZAIgNjYWZ2dn4uPjeeGFF/LEkJWVRVZWlnGekZHxUGsREREREREReZxUMkJE5C6nTp3i6tWrPP/889jb2xvHkiVLSE5ONmsbGBj4SOc+dOgQFStWNJLBhbFt2zZatmxJhQoVcHBw4NVXX+W3337j6tWrxpgtW7Ys1FhJSUlYWFjQoEED41qNGjXu+YK4y5cv8+qrr7Jw4cICX8g3efJks2eZmppKly5d+P3336lcuTJ9+/Zl3bp13Lx5s9DrLqx//vOfNGjQAFdXV+zt7VmwYAGpqan37HP48GFOnTqFg4ODEbOLiwvXrl3L82fgtilTpuDk5GQcnp6ej3wtIiIiIiIiIn+UdgiLiNzldv3djRs3UqFCBbN7VlZWZud2dnZm5yVKlCA3N9fs2o0bNwo9t42NzYOESkpKCu3atePvf/87kyZNwsXFhd27dxMZGcn169extbV94DEfVHJyMikpKYSFhRnXcnJyALCwsODEiRMMGDCArl27Gvc9PDyMe9u2bWPr1q0MHDiQadOmsXPnTkqVKoXJZPpDzxJg5cqVREdHM2PGDIKCgnBwcGDatGns3bv3nv0yMzNp0KBBvvWTC3oJ4KhRoxg2bJhxnpGRoaSwiIiIiIiIFDtKCIuI3KVmzZpYWVmRmppqVh6iMFxdXTl27JjZtUOHDlGqVKlC9a9Tpw6//PILP/74Y6F2CR84cICcnBxmzJhBiRK3/tPH6tWr84y5fft2s9IJBalRowY3b97kwIEDRsmIEydOcOnSpXv2OXr0qNm1d955h8uXLzNr1iw8PT2xtLTExcUlT18bGxvCwsIICwtj0KBBxlj169fH1dWVtLQ0o+3JkyeNXc+FlZCQQJMmTRg4cKBx7e4dvpaWlnnqKdevX59Vq1bh5uaGo6NjoeaysrLK8wsDERERERERkeJGCWERkbs4ODgQHR3NG2+8QU5ODn/7299IT08nISEBR0dHevXqVWDfFi1aMG3aNJYsWUJQUBDLli3j2LFjBAQEFGru5s2b8+yzz9K5c2fef/99qlatyg8//IDJZCI0NDRP+6pVq3Ljxg0+/PBDwsLCSEhI4KOPPjJrM2rUKPz9/Rk4cCADBgzA0tKSHTt20KVLlzwlHqpXr05oaCj9+/dn3rx5WFhYMHTo0HvuMra2tqZ27dpm126XmLj7+p3i4uLIzs6mcePG2NrasmzZMmxsbKhUqRJw61nOmTOHoKAgsrOzGTFiRKET67f5+vqyZMkStmzZgo+PD0uXLiUxMREfHx+jjbe3N1u2bOHEiROUKVMGJycnwsPDmTZtGu3bt2f8+PFUrFiR06dPs3btWoYPH07FihUfKA4RkeIiZWrbog5BRERERIqYagiLiORjwoQJjB49milTpuDn50doaCgbN240SyTmJyQkhNGjRzN8+HAaNmzI5cuX6dmz5wPNvWbNGho2bEj37t2pWbMmw4cPz7OD9ba6devy/vvv8+6771K7dm2WL1/OlClTzNpUq1aNr7/+msOHD9OoUSOCgoL44osvsLDI/3eCsbGxeHh40Lx5czp16kS/fv1wc3N7oDUUhrOzMwsXLqRp06bUqVOHbdu28a9//YsyZcoAMGPGDDw9PWnWrBk9evQgOjoaW1vbB5qjf//+dOrUiW7dutG4cWN+++03s93CAH379qV69eoEBgbi6upKQkICtra2fPPNN3h5edGpUyf8/PyIjIzk2rVrhd4xLCIiIiIiIlIcmXLvLtAoIiIif1hGRgZOTk6kp6criSwiIiIiIiKPXWF/DtUOYREREREREREREZG/CCWERURERERERERERP4ilBAWEZHHwtvbm5kzZz628YODgxk6dKhxfvXqVTp37oyjoyMmk4lLly49trlFREREREREnlZKCIuIyJ/C4sWL2bVrF99++y1paWk4OTndt098fLySxyIiIiIiIvKXkv8r5kVERJ4yycnJ+Pn5Ubt27aIORUSk2PIeubFQ7VKmtn3MkYiIiIhIUdEOYRGRYiInJ4cpU6bg4+ODjY0NdevW5fPPPzfux8XF4ezsbNZn/fr1mEwms2sTJ07Ezc0NBwcHoqKiGDlyJPXq1TNrs2jRIvz8/LC2tqZGjRrMnTvXuJeSkoLJZGLt2rU899xz2NraUrduXfbs2WM2xpo1a6hVqxZWVlZ4e3szY8aMB1pvfHw8jRo1ws7ODmdnZ5o2bcrp06cBiIiIoEOHDmbthw4dSnBwcL5jBQcHM2PGDL755htMJpPRbunSpQQGBuLg4ED58uXp0aMH586dM9b53HPPAVC6dGlMJhMRERHA/b8LERERERERkaeVEsIiIsXElClTWLJkCR999BH//ve/eeONN3jllVfYuXNnocdYvnw5kyZN4t133+XAgQN4eXkxb968PG3GjBnDpEmTSEpKYvLkyYwePZrFixebtXv77beJjo7m0KFDVKtWje7du3Pz5k0ADhw4QNeuXXn55Zc5evQo48aNY/To0cTFxRUqzps3b9KhQweaN2/OkSNH2LNnD/369cuT3C6stWvX0rdvX4KCgkhLS2Pt2rUA3LhxgwkTJnD48GHWr19PSkqKkfT19PRkzZo1AJw4cYK0tDRmzZoFPJrvQkRERERERKQ4UskIEZFiICsri8mTJ7Nt2zaCgoIAqFy5Mrt372b+/Pk0b968UON8+OGHREZG0rt3bwDGjBnD119/TWZmptFm7NixzJgxg06dOgHg4+PD8ePHmT9/Pr169TLaRUdH07btrf8yHBMTQ61atTh16hQ1atTg/fffp2XLlowePRqAatWqcfz4caZNm2YkXO8lIyOD9PR02rVrR5UqVQDw8/Mr1Brz4+Ligq2tLZaWlpQvX9643qdPH+Nz5cqVmT17Ng0bNiQzMxN7e3tcXFwAcHNzM3ZfP+x3kZWVRVZWltkaRURERERERIob7RAWESkGTp06xdWrV3n++eext7c3jiVLlpCcnFzocU6cOEGjRo3Mrt15fuXKFZKTk4mMjDSbZ+LEiXnmqVOnjvHZ3d0dwCi3kJSURNOmTc3aN23alJMnT5KdnX3fOF1cXIiIiCAkJISwsDBmzZpFWlpaoddZWAcOHCAsLAwvLy8cHByMZG5qamqBfR72u5gyZQpOTk7G4enp+cjXIyIiIiIiIvJHaYewiEgxcHsH78aNG6lQoYLZPSsrKwBKlChBbm6u2b0bN2481DwLFy6kcePGZvdKlixpdl6qVCnj8+1SDjk5OQ80373ExsYyZMgQNm/ezKpVq3jnnXfYunUrzzzzzCNZ65UrVwgJCSEkJITly5fj6upKamoqISEhXL9+vcB+hfku8jNq1CiGDRtmnGdkZCgpLCIiIiIiIsWOEsIiIsVAzZo1sbKyIjU1tcCSBK6urly+fJkrV65gZ2cHwKFDh8zaVK9encTERHr27GlcS0xMND6XK1cODw8PfvrpJ8LDwx86Xj8/PxISEsyuJSQkUK1atTyJ5XsJCAggICCAUaNGERQUxIoVK3jmmWdwdXXl2LFjZm0PHTpklqS+nx9++IHffvuNqVOnGonZ/fv3m7WxtLQEMNvVXJjvIj9WVlb3TBiLiIiIiIiIFAdKCIuIFAMODg5ER0fzxhtvkJOTw9/+9jfS09NJSEjA0dGRXr160bhxY2xtbfnHP/7BkCFD2Lt3b56XuL322mv07duXwMBAmjRpwqpVqzhy5AiVK1c22sTExDBkyBCcnJwIDQ0lKyuL/fv3c/HiRbMdrvfy5ptv0rBhQyZMmEC3bt3Ys2cPc+bMYe7cuYXq//PPP7NgwQJefPFFPDw8OHHiBCdPnjQS2S1atGDatGksWbKEoKAgli1bxrFjxwgICCjcAwW8vLywtLTkww8/ZMCAARw7dowJEyaYtalUqRImk4kNGzbQpk0bbGxsCvVdiIg8rVKmti3qEERERESkiKmGsIhIMTFhwgRGjx7NlClT8PPzIzQ0lI0bN+Lj4wPcqru7bNkyvvrqK/z9/fn0008ZN26c2Rjh4eGMGjWK6Oho6tevz88//0xERATW1tZGm6ioKBYtWkRsbCz+/v40b96cuLg4Y57CqF+/PqtXr2blypXUrl2bMWPGMH78+EK9UA7A1taWH374gc6dO1OtWjX69evHoEGD6N+/PwAhISGMHj2a4cOH07BhQy5fvmy267kwXF1diYuL47PPPqNmzZpMnTqV6dOnm7WpUKECMTExjBw5knLlyjF48GDg/t+FiIiIiIiIyNPKlHt3kUYREflTef755ylfvjxLly4t6lD+UjIyMnByciI9PR1HR8eiDkdERERERET+5Ar7c6hKRoiI/IlcvXqVjz76iJCQEEqWLMmnn37Ktm3b2Lp1a1GHJiIiIiIiIiLFgBLCIiJ/IiaTia+++opJkyZx7do1qlevzpo1a2jVqlVRhyYiIiIiIiIixYBqCIuI/InY2Niwbds2fvvtN65cucLBgwfp1KlTUYf10BYsWICnpyclSpRg5syZBV67H5PJxPr16x9bnCIiIiIiIiJPC9UQFhGRYikjI4OyZcvy/vvv07lzZ5ycnLh582aea7a2tvcd6+zZs5QuXRorK6snEPktqiEsIiIiIiIiT5JqCIuIyFMtNTWVGzdu0LZtW9zd3QE4duxYnmuFUb58+ccVpojIU8V75MaiDiGPlKltizoEERERkb8UlYwQEZHHJicnh/fee4+qVatiZWWFl5cXkyZNAmDEiBFUq1YNW1tbKleuzOjRo7lx4wYAcXFx+Pv7A1C5cmVMJlO+11JSUgD44osvqF+/PtbW1lSuXJmYmBhu3rxpxHFnyYiUlBRMJhNr167lueeew9bWlrp167Jnzx6z2Hfv3k2zZs2wsbHB09OTIUOGcOXKlcf5uEREREREREQeOyWERUTksRk1ahRTp05l9OjRHD9+nBUrVlCuXDkAHBwciIuL4/jx48yaNYuFCxfywQcfANCtWze2bdsGwL59+0hLS6NLly55rnl6erJr1y569uzJ66+/zvHjx5k/fz5xcXFG4rkgb7/9NtHR0Rw6dIhq1arRvXt3I4mcnJxMaGgonTt35siRI6xatYrdu3czePDgx/WoRERERERERJ4I1RAWEZHH4vLly7i6ujJnzhyioqLu23769OmsXLmS/fv3A3Do0CECAgL4+eef8fb2LvBaq1ataNmyJaNGjTLGWrZsGcOHD+fXX38Fbu0QXrduHR06dCAlJQUfHx8WLVpEZGQkAMePH6dWrVokJSVRo0YNoqKiKFmyJPPnzzfG3L17N82bN+fKlStYW1vniT8rK4usrCzjPCMjA09PT9UQFpFiRSUjRERERP68VENYRESKVFJSEllZWbRs2TLf+6tWrWL27NkkJyeTmZnJzZs3HypxevjwYRISEsx2BGdnZ3Pt2jWuXr1a4Evn6tSpY3y+XY/43Llz1KhRg8OHD3PkyBGWL19utMnNzSUnJ4eff/4ZPz+/PONNmTKFmJiYB45fRERERERE5ElSQlhERB4LGxubAu/t2bOH8PBwYmJiCAkJwcnJiZUrVzJjxowHniczM5OYmBg6deqU515+O3lvK1WqlPHZZDIBt2oe3x6zf//+DBkyJE8/Ly+vfMcbNWoUw4YNM85v7xAWERERERERKU6UEBYRkcfC19cXGxsbtm/fnqdkxLfffkulSpV4++23jWunT59+qHnq16/PiRMnqFq16h+K9+4xjx8//kBjWllZYWVl9chiEBEREREREXkclBAWEZHHwtramhEjRjB8+HAsLS1p2rQp58+f59///je+vr6kpqaycuVKGjZsyMaNG1m3bt1DzTNmzBjatWuHl5cXL730EiVKlODw4cMcO3aMiRMnPtSYI0aM4JlnnmHw4MFERUVhZ2fH8ePH2bp1K3PmzHmoMUVEigPV6xURERGREkUdgIiI/HmNHj2aN998kzFjxuDn50e3bt04d+4cL774Im+88QaDBw+mXr16fPvtt4wePfqh5ggJCWHDhg18/fXXNGzYkGeeeYYPPviASpUqPXTcderUYefOnfz44480a9aMgIAAxowZg4eHx0OPKSIiIiIiIlIcmHJzc3OLOggREZE/m8K+3VVERERERETkUSjsz6HaISwiIiIiIiIiIiLyF6GEsIiIiIiIiIiIiMhfhBLCImLm448/5oUXXvjD45hMJtavX//HA3pC4z5qKSkpmEwmDh06VNSh4O3tzcyZMwG4fv063t7e7N+/v2iDusudMYqIiIiIiIjI46OEsMif1Lx586hTpw6Ojo44OjoSFBTEpk2b7tnn2rVrjB49mrFjxxrX1q5dS2BgIM7OztjZ2VGvXj2WLl36uMOXx8TS0pLo6GhGjBhR1KGYSUxMpF+/fk90zuKUtBcRERERERF5UiyKOgAReTwqVqzI1KlT8fX1JTc3l8WLF9O+fXu+//57atWqlW+fzz//HEdHR5o2bWpcc3Fx4e2336ZGjRpYWlqyYcMGevfujZubGyEhIU9qOYV248YNSpUqVdRhFGvh4eG8+eab/Pvf/y7wz0JhXL9+HUtLy0cSk6ur6yMZR0RE7s175MaiDkEegZSpbYs6BBEREXmKaYewyJ9UWFgYbdq0wdfXl2rVqjFp0iTs7e357rvvCuyzcuVKwsLCzK4FBwfTsWNH/Pz8qFKlCq+//jp16tRh9+7d943hf//7Hx07dsTW1hZfX1++/PJLAHJzc6latSrTp083a3/o0CFMJhOnTp0C4OTJkzz77LNYW1tTs2ZNtm7datb+9g7PVatW0bx5c6ytrVm+fDk5OTmMHz+eihUrYmVlRb169di8ebMxd6tWrQgJCSE3NxeACxcuULFiRcaMGVPo2EwmE/PmzaN169bY2NhQuXJlPv/88zzP4KeffuK5557D1taWunXrsmfPHrP7u3fvplmzZtjY2ODp6cmQIUO4cuWKcd/b25vJkyfTp08fHBwc8PLyYsGCBcb9Fi1aMHjwYLMxz58/j6WlJdu3b8/3eyldujRNmzZl5cqVxrWIiAg6dOhATEwMrq6uODo6MmDAAK5fv260CQ4OZvDgwQwdOpSyZcsavxDYuXMnjRo1wsrKCnd3d0aOHMnNmzfz9Bs8eDBOTk6ULVuW0aNHG8//9jrvLBmRmppK+/btsbe3x9HRka5du/Lf//7XuD9u3Dhjt7q3tzdOTk68/PLLXL582WizefNm/va3v+Hs7EyZMmVo164dycnJxn0fHx8AAgICMJlMBAcHG/cWLVqEn58f1tbW1KhRg7lz5+b7LEVERERERESeNkoIi/wFZGdns3LlSq5cuUJQUFCB7Xbv3k1gYGCB93Nzc9m+fTsnTpzg2Wefve+8MTExdO3alSNHjtCmTRvCw8O5cOECJpOJPn36EBsba9Y+NjaWZ599lqpVq5KTk0OnTp2wtLRk7969fPTRRwWWORg5ciSvv/46SUlJhISEMGvWLGbMmMH06dM5cuQIISEhvPjii5w8eRKTycTixYtJTExk9uzZAAwYMIAKFSowZsyYQsV22+jRo+ncuTOHDx8mPDycl19+maSkJLN+b7/9NtHR0Rw6dIhq1arRvXt3I1manJxMaGgonTt35siRI6xatYrdu3fnSfDOmDGDwMBAvv/+ewYOHMjf//53Tpw4AUBUVBQrVqwgKyvLaL9s2TIqVKhAixYtCvxuGjVqxK5du8yubd++naSkJOLj4/n0009Zu3YtMTExZm0WL16MpaUlCQkJfPTRR/znP/+hTZs2NGzYkMOHDzNv3jw+/vhjJk6cmKefhYUF+/btY9asWbz//vssWrQo39hycnJo3749Fy5cYOfOnWzdupWffvqJbt26mbVLTk5m/fr1bNiwgQ0bNrBz506mTp1q3L9y5QrDhg1j//79bN++nRIlStCxY0dycnIA2LdvHwDbtm0jLS2NtWvXArB8+XLGjBnDpEmTSEpKYvLkyYwePZrFixcX+DwBsrKyyMjIMDtEREREREREihslhEX+xI4ePYq9vT1WVlYMGDCAdevWUbNmzXzbXrp0ifT0dDw8PPLcS09Px97eHktLS9q2bcuHH37I888/f9/5IyIi6N69O1WrVmXy5MlkZmYaSbiIiAhOnDhhnN+4cYMVK1bQp08f4FaS7ocffmDJkiXUrVuXZ599lsmTJ+c7z9ChQ+nUqRM+Pj64u7szffp0RowYwcsvv0z16tV59913qVevnrEDtUKFCsyfP5+RI0cyatQovvrqK5YtW4aFhUWhYrutS5cuREVFUa1aNSZMmEBgYCAffvihWZvo6Gjatm1LtWrViImJ4fTp08Yu4ylTphAeHs7QoUPx9fWlSZMmzJ49myVLlnDt2jVjjDZt2jBw4ECqVq3KiBEjKFu2LDt27ACgU6dOAHzxxRdG+7i4OCIiIjCZTAV+Nx4eHpw+fdrsmqWlJZ988gm1atWibdu2jB8/ntmzZxsJVABfX1/ee+89qlevTvXq1Zk7dy6enp7MmTOHGjVqGLuMZ8yYYdbP09OTDz74gOrVqxMeHs5rr73GBx98kG9s27dv5+jRo6xYsYIGDRrQuHFjlixZws6dO0lMTDTa5eTkEBcXR+3atWnWrBmvvvqq2a7ozp0706lTJ6pWrUq9evX45JNPOHr0KMePHwf+X5mKMmXKUL58eVxcXAAYO3YsM2bMMP5MderUiTfeeIP58+cX+Dzh1vfp5ORkHJ6envdsLyIiIiIiIlIUlBAW+ROrXr06hw4dYu/evfz973+nV69eHD9+nAEDBmBvb28cAL///jsA1tbWecZxcHDg0KFDJCYmMmnSJIYNG0Z8fDwAkydPNhsrNTXV6FenTh3js52dHY6Ojpw7dw64lZBs27Ytn3zyCQD/+te/yMrKokuXLgAkJSXh6elplqAuaHfznbuaMzIy+PXXX83qIAM0bdrUbPduly5d6NixI1OnTmX69On4+voa9+4XW0HxBAUF5dkhfOczcHd3BzCeweHDh4mLizN7fiEhIeTk5PDzzz/nO4bJZKJ8+fLGGNbW1rz66qtGrAcPHuTYsWNERETk+6xus7Gx4erVq2bX6tati62trdl6MjMzOXPmjHGtQYMGZn2SkpIICgoySz43bdqUzMxMfvnlF+PaM888Y9YmKCiIkydPkp2dnSe229/9nQnVmjVr4uzsbPZ8vb29cXBwMM7d3d2N5wK3So50796dypUr4+joiLe3N4DZn9G7XblyheTkZCIjI82+l4kTJ5qVm8jPqFGjSE9PN447n5uIiIiIiIhIcaGXyon8iVlaWholDho0aEBiYiKzZs1iwoQJREdHm7UtU6YMJpOJixcv5hmnRIkSxjj16tUjKSmJKVOmEBwczIABA+jatavR9s4E7t0vdzOZTGa7RqOionj11Vf54IMPiI2NpVu3bmYJycKys7N74D5Xr17lwIEDlCxZkpMnT+a5/6hiu/MZ3E6I3n4GmZmZ9O/fnyFDhuTp5+Xlle8Yt8e5+znWq1ePX375hdjYWFq0aEGlSpXuGdeFCxce6kVuD/OsH5f7PZewsDAqVarEwoUL8fDwICcnh9q1a5vVRb5bZmYmAAsXLqRx48Zm90qWLHnPeKysrLCysnrQZYiIiIiIiIg8UUoIi/yF5OTkkJWVhZubG25ubmb3LC0tqVmzJsePH+eFF14o1DgALi4uxn+1f1Bt2rTBzs6OefPmsXnzZr755hvjnp+fH2fOnCEtLc3YWXuvF+Ld5ujoiIeHBwkJCTRv3ty4npCQQKNGjYzzN998kxIlSrBp0ybatGlD27ZtzWru3iu227777jt69uxpdh4QEFDo9devX5/jx4+b1SV+GP7+/gQGBrJw4UJWrFjBnDlz7tvn2LFjeWI9fPgwv//+OzY2NsCt9djb29+z9IGfnx9r1qwhNzfXSHgnJCTg4OBAxYoVjXZ79+416/fdd9/h6+ubb5L19nd/5swZY+7jx49z6dKlAkue3O23337jxIkTLFy4kGbNmgHkeRGipaUlgNku5XLlyuHh4cFPP/1EeHh4oeYSEREREREReZooISzyJzVq1Chat26Nl5cXly9fZsWKFcTHx7Nly5YC+4SEhLB7926GDh1qXJsyZQqBgYFUqVKFrKwsvvrqK5YuXcq8efP+cIwlS5YkIiKCUaNG4evra1aCoVWrVlSrVo1evXoxbdo0MjIyePvttws17ltvvcXYsWOpUqUK9erVIzY2lkOHDrF8+XIANm7cyCeffMKePXuoX78+b731Fr169eLIkSOULl36vrHd9tlnnxEYGMjf/vY3li9fzr59+/j4448Lvf4RI0bwzDPPMHjwYKKiorCzs+P48eNs3bq1UEndO0VFRTF48GDs7Ozo2LHjfdvv2rWLCRMmmF27fv06kZGRvPPOO6SkpDB27FgGDx5MiRIFVxcaOHAgM2fO5LXXXmPw4MGcOHGCsWPHMmzYMLN+qampDBs2jP79+3Pw4EE+/PBDZsyYke+YrVq1wt/fn/DwcGbOnMnNmzcZOHAgzZs3v+dLD+9UunRpypQpw4IFC3B3dyc1NZWRI0eatXFzc8PGxobNmzdTsWJFrK2tcXJyIiYmhiFDhuDk5ERoaChZWVns37+fixcvMmzYsELNLyJSXKVMbVvUIYiIiIhIEVMNYZE/qXPnztGzZ0+qV69Oy5YtSUxMZMuWLfd8GVxkZCRfffUV6enpxrUrV64wcOBAatWqRdOmTVmzZg3Lli0jKirqkcQZGRnJ9evX6d27t9n1EiVKsG7dOn7//XcaNWpEVFQUkyZNKtSYQ4YMYdiwYbz55pv4+/uzefNmvvzyS3x9fTl//jyRkZGMGzeO+vXrAxATE0O5cuUYMGBAoWK7LSYmhpUrV1KnTh2WLFnCp59+WugdrHCrNvDOnTv58ccfadasGQEBAYwZMybfF/vdT/fu3bGwsKB79+751oG+0549e0hPT+ell14yu96yZUt8fX159tln6datGy+++CLjxo2751gVKlTgq6++Yt++fdStW5cBAwYYSeU79ezZ0/guBw0axOuvv06/fv3yHdNkMvHFF19QunRpnn32WVq1akXlypVZtWrV/R/E/ylRogQrV67kwIED1K5dmzfeeINp06aZtbGwsGD27NnMnz8fDw8P2rdvD9xKri9atIjY2Fj8/f1p3rw5cXFx+Pj4FHp+ERERERERkeLKlJubm1vUQYhI8dGlSxfq16/PqFGjnsh8u3btomXLlpw5c4Zy5co9kTkL616xmUwm1q1bR4cOHYomuLukpKRQpUoVEhMTjUR3Qbp160bdunX5xz/+YVyLiIjg0qVLrF+//pHHFhwcTL169Zg5c+YjH7s4y8jIwMnJifT0dBwdHYs6HBEREREREfmTK+zPodohLCJmpk2bhr29/WOfJysri19++YVx48bRpUuXYpUMLs6x3e3GjRucPXuWd955h2eeeea+yeDr16/j7+/PG2+88YQiFBEREREREZHiRAlhETHj7e3Na6+99tjn+fTTT6lUqRKXLl3ivffee+zzPYjiHNvdEhIScHd3JzExkY8++ui+7S0tLXnnnXeMF8eJiIiIiIiIyF+LSkaIiDzlvL29GTp0qPEywKIsZ/EoSk88zvIVT5JKRoiIiIiIiMiTpJIRIiJP0DfffENYWBgeHh6YTKb7JjMjIiIwmUx5jlq1av3hWNLS0mjduvUfHudeUlJSMJlMHDp06LHO87hFREQUmzrQIiIiIiIiIk+CRVEHICLyZ3DlyhXq1q1Lnz596NSp033bz5o1i6lTpxrnN2/epG7dunTp0uUPx1K+fPk/PMbT7saNG5QqVaqowxARKXa8R24s6hD+lFKmti3qEEREREQKTTuERUQegdatWzNx4kQ6duxYqPZOTk6UL1/eOPbv38/Fixfp3bv3PfudO3eOsLAwbGxs8PHxYfny5Xna3LlD+fZO3tWrV9OsWTNsbGxo2LAhP/74I4mJiQQGBmJvb0/r1q05f/682TiLFi3Cz88Pa2tratSowdy5c417Pj4+AAQEBGAymQgODjbrO336dNzd3SlTpgyDBg3ixo0bAIwfP57atWvniblevXqMHj063zV7e3szc+bMPO3HjRtntuZ58+bx4osvYmdnx6RJk8jOziYyMhIfHx9sbGyoXr06s2bNMvqMGzeOxYsX88UXXxg7tOPj4wE4c+YMXbt2xdnZGRcXF9q3b09KSkq+8YmIiIiIiIg8TbRDWESkGPj4449p1aoVlSpVume7iIgIfv31V3bs2EGpUqUYMmQI586du+/4Y8eOZebMmXh5edGnTx969OiBg4MDs2bNwtbWlq5duzJmzBjmzZsHwPLlyxkzZgxz5swhICCA77//nr59+2JnZ0evXr3Yt28fjRo1Ytu2bdSqVQtLS0tjrh07duDu7s6OHTs4deoU3bp1o169evTt25c+ffoQExNDYmIiDRs2BOD777/nyJEjrF279g88wVsJ3qlTpzJz5kwsLCzIycmhYsWKfPbZZ5QpU4Zvv/2Wfv364e7uTteuXYmOjiYpKYmMjAxiY2MBcHFx4caNG4SEhBAUFMSuXbuwsLBg4sSJhIaGcuTIEbO13ikrK4usrCzjPCMj4w+tR0RERERERORxUEJYRKSI/frrr2zatIkVK1bcs92PP/7Ipk2b2Ldvn5FM/fjjj/Hz87vvHNHR0YSEhADw+uuv0717d7Zv307Tpk0BiIyMJC4uzmg/duxYZsyYYZS/8PHx4fjx48yfP59evXrh6uoKQJkyZfKUqChdujRz5syhZMmS1KhRg7Zt27J9+3b69u1LxYoVCQkJITY21lhDbGwszZs3p3LlyoV4WgXr0aNHnh3WMTExxmcfHx/27NnD6tWr6dq1K/b29tjY2JCVlWW2hmXLlpGTk8OiRYswmUxGjM7OzsTHx/PCCy/kO/+UKVPM5hMREREREREpjlQyQkSkiC1evBhnZ2ezl5stX74ce3t749i1axdJSUlYWFjQoEEDo12NGjVwdna+7xx16tQxPpcrVw4Af39/s2u3dxpfuXKF5ORkIiMjzWKYOHEiycnJ952rVq1alCxZ0jh3d3c328Xct29fPv30U65du8b169dZsWIFffr0ue+49xMYGJjn2j//+U8aNGiAq6sr9vb2LFiwgNTU1HuOc/jwYU6dOoWDg4OxdhcXF65du3bP9Y8aNYr09HTjOHPmzB9ek4iIiIiIiMijph3CIiJFKDc3l08++YRXX33VrBTBiy++SOPGjY3zChUq8PXXXz/0PHe+YO32rte7r+Xk5ACQmZkJwMKFC81iAMwSvYWZ6+6xAcLCwrCysmLdunVYWlpy48YNXnrppQLHK1GiBLm5uWbXbtckvpOdnZ3Z+cqVK4mOjmbGjBkEBQXh4ODAtGnT2Lt37z3jz8zMpEGDBvnWZ769Mzo/VlZWWFlZ3XNsERERERERkaKmhLCISBHauXMnp06dIjIy0uy6g4MDDg4OZtdq1KjBzZs3OXDggFFu4cSJE1y6dOmRxlSuXDk8PDz46aefCA8Pz7fN7eR1dnb2A49vYWFBr169iI2NxdLSkpdffhkbG5sC27u6upKWlmacZ2Rk8PPPP993noSEBJo0acLAgQONa3fv8LW0tMyzhvr167Nq1Src3NxwdHQs7LJEREREREREngpKCIuIPAKZmZmcOnXKOP/55585dOgQLi4ueHl5Fdjv448/pnHjxtSuXfu+c1SvXp3Q0FD69+/PvHnzsLCwYOjQofdMpj6smJgYhgwZgpOTE6GhoWRlZbF//34uXrzIsGHDcHNzw8bGhs2bN1OxYkWsra1xcnIq9PhRUVFG7eOEhIR7tm3RogVxcXGEhYXh7OzMmDFjCrVT2dfXlyVLlrBlyxZ8fHxYunQpiYmJ+Pj4GG28vb3ZsmULJ06coEyZMjg5OREeHs60adNo374948ePp2LFipw+fZq1a9cyfPhwKlasWOh1iogUNylT2xZ1CCIiIiJSxFRDWETkEdi/fz8BAQEEBAQAMGzYMAICAhgzZgwA48aNw9vb26xPeno6a9asybM7+F5iY2Px8PCgefPmdOrUiX79+uHm5vbI1nFbVFQUixYtIjY2Fn9/f5o3b05cXJyRTLWwsGD27NnMnz8fDw8P2rdv/0Dj+/r60qRJE2rUqJGnLMXdRo0aRfPmzWnXrh1t27alQ4cOVKlS5b5z9O/fn06dOtGtWzcaN27Mb7/9ZrZbGG7VM65evTqBgYG4urqSkJCAra0t33zzDV5eXnTq1Ak/Pz8iIyO5du2adgyLiIiIiIjIU8+Ue3dhRhEReeR69eqFyWQiLi6uqEMpFnJzc/H19WXgwIEMGzasqMN5LDIyMnByciI9PV2JZBEREREREXnsCvtzqEpGiIg8Zrm5ucTHx7N79+6iDqVYOH/+PCtXruTs2bP07t27qMMRERERERER+UtRQlhE5DEzmUycPn26qMMoNtzc3ChbtiwLFiygdOnSRR2OiIiIiIiIyF+KagiLiDzF4uPjMZlMXLp0qahDyaOg2HJzczl//jw9evT4Q+OnpKRgMpk4dOiQcS0hIQF/f39KlSpFhw4d/tD4IiIiIiIiIn9GSgiLiDwlgoODGTp0aFGHUawNGzaMevXq8fPPPxe6XnNERISSxyIiIiIiIvKXoZIRIiLyp5GcnMyAAQOoWLFiUYciIsWQ98iNRR1CkUuZ2raoQxARERGRIqYdwiIiT4GIiAh27tzJrFmzMJlMmEwmUlJSjPsHDhwgMDAQW1tbmjRpwokTJ4BbZRVKlCjB/v37zcabOXMmlSpVIicnxyjtsGXLFgICArCxsaFFixacO3eOTZs24efnh6OjIz169ODq1avGGFlZWQwZMgQ3Nzesra3529/+RmJiYqHXlJuby7hx4/Dy8sLKygoPDw+GDBli3DeZTKxfv96sj7Ozc747f2+Xj/jtt9/o06cPJpOJuLg4srOziYyMxMfHBxsbG6pXr86sWbOMfuPGjWPx4sV88cUXxnONj48H4MyZM3Tt2hVnZ2dcXFxo37692TMXEREREREReRopISwi8hSYNWsWQUFB9O3bl7S0NNLS0vD09DTuv/3228yYMYP9+/djYWFBnz59APD29qZVq1bExsaajRcbG0tERAQlSvy/fwbGjRvHnDlz+Pbbb41k6MyZM1mxYgUbN27k66+/5sMPPzTaDx8+nDVr1rB48WIOHjxI1apVCQkJ4cKFC4Va05o1a/jggw+YP38+J0+eZP369fj7+z/U8/H09CQtLQ1HR0dmzpxJWloa3bp1Iycnh4oVK/LZZ59x/PhxxowZwz/+8Q9Wr14NQHR0NF27diU0NNR4rk2aNOHGjRuEhITg4ODArl27SEhIwN7entDQUK5fv55vDFlZWWRkZJgdIiIiIiIiIsWNSkaIiDwFnJycsLS0xNbWlvLly+e5P2nSJJo3bw7AyJEjadu2LdeuXcPa2pqoqCgGDBjA+++/j5WVFQcPHuTo0aN88cUXZmNMnDiRpk2bAhAZGcmoUaNITk6mcuXKALz00kvs2LGDESNGcOXKFebNm0dcXBytW7cGYOHChWzdupWPP/6Yt956675rSk1NpXz58rRq1YpSpUrh5eVFo0aNHur5lCxZkvLly2MymXBycjJ7RjExMcZnHx8f9uzZw+rVq+natSv29vbY2NiQlZVl1mfZsmXk5OSwaNEiTCYTcCuJ7uzsTHx8PC+88EKeGKZMmWI2l8j/z969x+V8/48ff1xJx6uDUpRKDp2kVMJiaNhyatHm2EdS2cx8MHLo41Q5T02ZMWMqx+zgNMxhfWTEiMlh+ji0tWzamKHFVKrfH769fy4d5Jhtz/vtdt1uXe/36/B8va5w8+zV8y2EEEIIIYQQzyM5ISyEEH8D7u7uytdWVlYAXL58GYA+ffpQp04dNm3aBEBSUhIvvfQS9vb2VY7RoEEDDAwMlGRw+bXyMbOzsykuLlYSyAB169albdu2ZGVl1Sjmfv368eeff9K0aVOGDx/Opk2buHPnzkOsumY++OADWrdujYWFBWq1mo8++ojc3Nxq+5w4cYILFy5gZGSEWq1GrVZjZmbG7du3yc7OrrRPZGQkN27cUF4XL1584msRQgghhBBCCCEelySEhRDib6Bu3brK1+UnWktLSwHQ0dEhODiYxMREioqKWLdunVJSorox7n1ffq18zCfB1taWs2fPsmTJEvT19Rk5ciSdOnWiuLhYma+srEyjT/m9mkpJSSEiIoKwsDB2795NZmYmw4YNq7LsQ7mCggJat25NZmamxuvcuXMMHjy40j66uroYGxtrvIQQQgghhBBCiOeNlIwQQoi/CB0dHUpKSh6pb3h4OC1btmTJkiXcuXOHwMDAx4qlWbNm6OjokJ6eTuPGjYG7ydqMjAzGjh1b43H09fXx9/fH39+ft99+G2dnZ06dOoWXlxcWFhbk5eUpbc+fP6/xULuaSE9Pp3379owcOVK5dv8J38r21cvLiw0bNmBpaSmJXSGEEEIIIYQQfyuSEBZCiL8Ie3t7Dh8+TE5OjlLCoKZcXFx44YUXmDRpEqGhoejr6z9WLIaGhrz11ltMmDABMzMz7OzsePfdd7l16xZhYWE1GiMpKYmSkhLatWuHgYEBa9asQV9fX0kwd+nShcWLF+Pj40NJSQmTJk2qcGr5QRwcHFi1ahW7du2iSZMmrF69moyMDJo0aaK0sbe3Z9euXZw9exZzc3NMTEwICgpiwYIFBAQEEBMTg42NDT/++CMbN25k4sSJ2NjYPFQcQojnQ868XrUdghBCCCGEELVOSkYIIcRfREREBHXq1KFFixZYWFg8sA7u/cLCwigqKqq0XMSjmDdvHq+99hpDhgzBy8uLCxcusGvXLurVq1ej/qampixfvpwOHTrg7u7OV199xRdffIG5uTkAcXFx2Nra0rFjRwYPHkxERAQGBgYPFeObb75JYGAgAwYMoF27dly9elXjtDDA8OHDcXJywtvbGwsLC9LT0zEwMODrr7/Gzs6OwMBAXFxcCAsL4/bt23JiWAghhBBCCCHEX5qq7P4CjUIIIf6WZs6cyaeffsrJkydrO5R/hPz8fExMTLhx44YkkYUQQgghhBBCPHU1/X+onBAWQoi/uYKCAk6fPs3ixYv597//XdvhCCGEEEIIIYQQohZJQlgIIf7mRo0aRevWrfH19X1i5SKEEEIIIYQQQgjx1yQJYSGesbS0NFQqFdevX6/tUFCpVGzevLm2wwDuPmDM1NS0tsN4bNOmTeONN95Q3vv6+jJ27NgnPs/DjJuUlERhYSEbNmygTp06NZ7jefperU2//fYblpaW/PTTT7UdihBCCCGEEEII8dgkISxEFZYuXYq7uzvGxsYYGxvj4+PDl19+Wdth/W0NGDCAc+fOPfN5Q0JC6NOnzxMZ65dffiEhIYEpU6Y8kfFqW/v27cnLy8PExKS2Q3kicnJyUKlUZGZmPlS/+vXrExwczIwZM55OYEIIIYQQQgghxDOkXdsBCPG8srGxYd68eTg4OFBWVkZycjIBAQEcP34cV1fX2g7vuVBWVkZJSQna2o//V4m+vj76+vpPIKras2LFCtq3b0/jxo1rOxSKiorQ0dF5rDF0dHRo2LDhE4ror23YsGG0bt2aBQsWYGZmVtvhCAGA/eTttR2C+AvKmdertkMQQgghhBC1TE4IC1EFf39/evbsiYODA46OjsyePRu1Ws0333xTZZ/yE4gpKSm0b98ePT09WrZsyb59+yq0PXbsGN7e3hgYGNC+fXvOnj2rcX/Lli14eXmhp6dH06ZNiY6O5s6dO8p9lUrFihUr6Nu3LwYGBjg4OLB161bgbqK2efPmxMbGaoyZmZmJSqXiwoULjxR7eQmBL7/8ktatW6Orq8uBAwcoLCxk9OjRWFpaoqenx4svvkhGRkaFftu3b8fd3R09PT1eeOEFTp8+rbSprGTE0qVLadasGTo6Ojg5ObF69WqN+9XtAUBJSQlhYWE0adIEfX19nJycSEhIUO5HRUWRnJzMli1bUKlUqFQq0tLSALh48SL9+/fH1NQUMzMzAgICyMnJqbBv90pJScHf37/C9dLSUiZOnIiZmRkNGzYkKipKuRcaGkrv3r012hcXF2NpacnHH38MwM2bNwkODkatVmNlZUVcXFyFOezt7Zk5cybBwcEYGxsrZSs+//xzXF1d0dXVxd7evkLfwsJCJk2ahK2tLbq6ujRv3lyZ9/6SEeWf0a5du3BxcUGtVtO9e3fy8vKU8cpPXMfGxmJlZYW5uTlvv/02xcXFSpvVq1fj7e2NkZERDRs2ZPDgwVy+fFm5Xz7vrl278PT0RF9fny5dunD58mW+/PJLXFxcMDY2ZvDgwdy6dUvpt3PnTl588UVMTU0xNzend+/eZGdnK/ebNGkCgKenJyqVCl9fX+XeihUrcHFxQU9PD2dnZ5YsWaKxT66urlhbW7Np06YKey+EEEIIIYQQQvyVSEJYiBooKSkhJSWFmzdv4uPj88D2EyZMYPz48Rw/fhwfHx/8/f25evWqRpspU6YQFxfH0aNH0dbW1njY1/79+wkODmbMmDGcOXOGZcuWkZSUxOzZszXGiI6Opn///pw8eZKePXsSFBTE77//jkqlIjQ0lMTERI32iYmJdOrUiebNmz9W7JMnT2bevHlkZWXh7u7OxIkT+fzzz0lOTubbb7+lefPm+Pn58fvvv1cYOy4ujoyMDCwsLPD399dIFN5r06ZNjBkzhvHjx3P69GnefPNNhg0bxt69e2u0B3A3EWtjY8Onn37KmTNnmD59Ov/5z3/45JNPAIiIiKB///5KUjMvL4/27dtTXFyMn58fRkZG7N+/n/T0dCX5WVRUVGm8v//+O2fOnMHb27vCveTkZAwNDTl8+DDvvvsuMTEx7NmzB4Dw8HB27typkVTdtm0bt27dYsCAAcq+7du3jy1btrB7927S0tL49ttvK8wTGxtLq1atOH78ONOmTePYsWP079+fgQMHcurUKaKiopg2bRpJSUlKn+DgYNavX8+iRYvIyspi2bJlqNXqStcIcOvWLWJjY1m9ejVff/01ubm5REREaLTZu3cv2dnZ7N27l+TkZJKSkjTmLC4uZubMmZw4cYLNmzeTk5NDSEhIhbmioqJYvHgxBw8eVBL08fHxrFu3ju3bt7N7927ef/99pf3NmzcZN24cR48eJTU1FS0tLfr27UtpaSkAR44cAeCrr74iLy+PjRs3ArB27VqmT5/O7NmzycrKYs6cOUybNo3k5GSNeNq2bcv+/fur3JvCwkLy8/M1XkIIIYQQQgghxPNGVVZWVlbbQQjxvDp16hQ+Pj7cvn0btVrNunXr6NmzZ5Xtc3JyaNKkCfPmzWPSpEkA3LlzhyZNmvDvf/+biRMnkpaWxksvvcRXX31F165dAdixYwe9evXizz//RE9Pj27dutG1a1ciIyOVsdesWcPEiRO5dOkScPd07NSpU5k5cyZwNxmmVqv58ssv6d69O5cuXcLOzo6DBw/Stm1biouLsba2JjY2lqFDhypjbNq0iT59+jxU7Js3byYgIECZt169eiQlJTF48GDgbsLP3t6esWPHMmHCBKVfSkqKkuT8/fffsbGxISkpif79+5OUlMTYsWOV06gdOnTA1dWVjz76SNmD/v37c/PmTbZv316jPajMqFGj+OWXX/jss8+Auydar1+/rvFwvTVr1jBr1iyysrJQqVTA3RIMpqambN68mVdeeaXCuJmZmXh6epKbm4utra1y3dfXl5KSEo1EYtu2benSpQvz5s0D7p4+HTp0KBMnTgTg1VdfxdzcnMTERAoKCjA3N2fNmjX069dPY+/eeOMN4uPjgbsnhD09PTVOsAYFBXHlyhV2796tXJs4cSLbt2/nu+++49y5czg5ObFnzx66detWYU3ln9u1a9cwNTUlKSmJYcOGceHCBZo1awbAkiVLiImJ4ZdfflH2My0tjezsbOUBdv3790dLS4uUlJRKP5OjR4/Spk0b/vjjD9RqdaV/RubNm0dkZCTZ2dk0bdoUgBEjRpCTk8POnTsrHfe3337DwsKCU6dO0bJlS+V7/Pjx43h4eCjtmjdvzsyZMxk0aJBybdasWezYsYODBw8q18aNG8fx48cr/FCiXFRUFNHR0RWu37hxA2Nj40r7CPE4pGSEeBRSMkIIIYQQ4u8rPz8fExOTB/4/VE4IC1ENJycnMjMzOXz4MG+99RZDhw7lzJkzwN1klFqtVl73uvcUsba2Nt7e3mRlZWm0cXd3V762srICUH5t/sSJE8TExGiMP3z4cPLy8jR+Rf7eMQwNDTE2NlbGsLa2plevXqxcuRKAL774gsLCQiWpWJWaxH7vKdjs7GyKi4vp0KGDcq1u3bq0bdu2Qr97xzYzM8PJyalCm3JZWVkaY8LdJHF1+3j/HgB88MEHtG7dGgsLC9RqNR999BG5ublVrh/u7v+FCxcwMjJS9t/MzIzbt29rlCC4159//gmAnp5ehXv3xgh3P+97YwwPD1dOc//66698+eWXyonx7OxsioqKaNeundK+fO/ud//p5Kr28Pz585SUlJCZmUmdOnXo3LlzlXtxPwMDAyUZXNla4G6CuzwZXFmbY8eO4e/vj52dHUZGRsr8938u9+5bgwYNMDAwUJLB5dfuHff8+fMMGjSIpk2bYmxsjL29faXj3uvmzZtkZ2cTFham8edt1qxZFT5rfX19jT9/94uMjOTGjRvK6+LFi1W2FUIIIYQQQgghaos8VE6Iaujo6CjlFVq3bk1GRgYJCQksW7aMmJiYCr8q/zDq1q2rfF1+CrX8V9sLCgqIjo4mMDCwQr97E473jlE+TvkYcDfROGTIEBYuXEhiYiIDBgzAwMDgkWMuZ2ho+NhjPCnV7UFKSgoRERHExcXh4+ODkZERCxYs4PDhw9WOWVBQQOvWrVm7dm2FexYWFpX2qV+/PgDXrl2r0OZBn1NwcDCTJ0/m0KFDHDx4kCZNmtCxY8dqY6zMw34uj/IQv8rWcv8vmlS33ps3b+Ln54efnx9r167FwsKC3Nxc/Pz8KpTjuP/PyIP20d/fn8aNG7N8+XKsra0pLS2lZcuWVZb5gLufNcDy5cs1ku6ARlIb7p7MrurzB9DV1UVXV7fK+0IIIYQQQgghxPNATggL8RBKS0spLCwEwNLSkubNmyuve9374Lk7d+5w7NgxXFxcajyPl5cXZ8+e1Ri//KWlVfM/tj179sTQ0JClS5eyc+dOjTrFVXnY2Msf+paenq5cKy4uJiMjgxYtWlQ59rVr1zh37lyVY7u4uGiMCZCenl5hzOqkp6fTvn17Ro4ciaenJ82bN69w6lNHR4eSkhKNa15eXpw/f77CZ9y8eXNMTEwqnatZs2YYGxsrJ8gfhrm5OX369CExMVEpy3DvuHXr1tVIYpfv3YNUtYeOjo7UqVMHNzc3SktLK33o4dPyv//9j6tXrzJv3jw6duyIs7NzhRPGj+Lq1aucPXuWqVOn0rVrV1xcXLh27ZpGGx0dHQCNz7tBgwZYW1vz/fffV/isyx9CV+706dN4eno+dqxCCCGEEEIIIURtkhPCQlQhMjKSHj16YGdnxx9//MG6detIS0tj165dD+z7wQcf4ODggIuLCwsXLuTatWs1SsaWmz59Or1798bOzo7XX38dLS0tTpw4wenTp5k1a1aNx6lTpw4hISFERkbi4OBQowfiPWzshoaGvPXWW0yYMAEzMzPs7Ox49913uXXrFmFhYRptY2JiMDc3p0GDBkyZMoX69evTp0+fSsedMGEC/fv3x9PTk27duvHFF1+wceNGvvrqqxqv38HBgVWrVrFr1y6aNGnC6tWrycjI0Ej02dvbs2vXLs6ePYu5uTkmJiYEBQWxYMECAgICiImJwcbGhh9//JGNGzcyceJEbGxsKsylpaVFt27dOHDgQJVrqk54eDi9e/empKREqfEMoFarCQsLY8KECZibm2NpacmUKVNq9IOB8ePH06ZNG2bOnMmAAQM4dOgQixcvZsmSJcrahw4dSmhoKIsWLaJVq1b8+OOPXL58mf79+z/0GmrCzs4OHR0d3n//fUaMGMHp06eVGtCPo169epibm/PRRx9hZWVFbm4ukydP1mhjaWmJvr4+O3fuxMbGBj09PUxMTIiOjmb06NGYmJjQvXt3CgsLOXr0KNeuXWPcuHHA3YfpHTt2jDlz5jx2rEI8KVILVgghhBBCCPEo5ISwEFW4fPkywcHBODk50bVrVzIyMti1axcvv/zyA/vOmzePefPm0apVKw4cOMDWrVuVkgI14efnx7Zt29i9ezdt2rThhRdeYOHChTRu3Pih1xEWFkZRUZHGqdMnHfu8efN47bXXGDJkCF5eXly4cIFdu3ZRr169Cu3GjBlD69at+eWXX/jiiy+UU5v369OnDwkJCcTGxuLq6sqyZctITEzE19e3RusAePPNNwkMDGTAgAG0a9eOq1evMnLkSI02w4cPx8nJCW9vbywsLEhPT8fAwICvv/4aOzs7AgMDcXFxISwsjNu3b1dblD08PJyUlBSNMgY11a1bN6ysrPDz88Pa2lrj3oIFC+jYsSP+/v5069aNF198kdatWz9wTC8vLz755BNSUlJo2bIl06dPJyYmhpCQEKXN0qVLef311xk5ciTOzs4MHz6cmzdvPnT8NWVhYUFSUhKffvopLVq0YN68ecTGxj72uOUPrTt27BgtW7bknXfeYcGCBRpttLW1WbRoEcuWLcPa2lp5MGJ4eDgrVqwgMTERNzc3OnfuTFJSksYPDrZs2YKdnd0jlfIQQgghhBBCCCGeJ6qy+4s/CiEeWU5ODk2aNOH48eN4eHjUdjgA7N+/n65du3Lx4kUaNGhQZbunGXtaWhovvfQS165dw9TU9ImO/TwpKyujXbt2vPPOOwwaNOih+hYUFNCoUSMSExMrrR0tatcLL7zA6NGjGTx4cI371PTprkIIIYQQQgghxJNQ0/+HyglhIf6mCgsL+emnn4iKiqJfv37VJoPFk6FSqfjoo4+4c+dOjfuUlpZy+fJlZs6ciampKa+++upTjFA8it9++43AwMCHTvILIYQQQgghhBDPI0kIC/E3tX79eho3bsz169d59913azucfwwPDw+GDBlS4/a5ubk0aNCAdevWsXLlSrS1n25p95CQkEeqcfykx3hSahKLvb098fHxjzxH/fr1mThxIiqV6pHHEEIIIYQQQgghnheSEBbiCbK3t6esrOy5KBcREhJCSUkJx44do1GjRg9s/zRj9/X1pays7G9dLqLc0qVLcXd3x9jYGGNjY3x8fPjyyy+rbF++7xcvXqRr165PLI6cnBxUKhWZmZlPbMza9DjrycjI4I033njyQQkhhBBCCCGEEH9BT/comhBC/MPY2Ngwb948HBwcKCsrIzk5mYCAAI4fP46rq2tth/ePZGFhUdshCCHEI7OfvP2Jjpczr9cTHU8IIYQQQvz1yAlhIYR4gvz9/enZsycODg44Ojoye/Zs1Go133zzTaXty0++fvLJJ3Ts2BF9fX3atGnDuXPnyMjIwNvbG7VaTY8ePbhy5YpG3xUrVuDi4oKenh7Ozs4sWbJEudekSRMAPD09UalU+Pr6avSNjY3FysoKc3Nz3n77bYqLiwGIiYmhZcuWFeL08PBg2rRpFa5fuXKFhg0bMmfOHOXawYMH0dHRITU1FYDs7GwCAgJo0KABarWaNm3a8NVXX2mMY29vz5w5cwgNDcXIyAg7Ozs++uijx15P+dj3loxQqVSsWLGCvn37YmBggIODA1u3btUY7/Tp0/To0QO1Wk2DBg0YMmQIv/32W4X1CyGEEEIIIYQQfzWSEBZCiKekpKSElJQUbt68iY+PT7VtZ8yYwdSpU/n222/R1tZm8ODBTJw4kYSEBPbv38+FCxeYPn260n7t2rVMnz6d2bNnk5WVxZw5c5g2bRrJyckAHDlyBICvvvqKvLw8Nm7cqPTdu3cv2dnZ7N27l+TkZJKSkkhKSgIgNDSUrKwsMjIylPbHjx/n5MmTDBs2rELcFhYWrFy5kqioKI4ePcoff/zBkCFDGDVqlFICo6CggJ49e5Kamsrx48fp3r07/v7+5ObmaowVFxeHt7c3x48fZ+TIkbz11lucPXv2sdZTlejoaPr378/Jkyfp2bMnQUFB/P777wBcv36dLl264OnpydGjR9m5cye//vor/fv3r3ZMIYQQQgghhBDir0BKRgghxBN26tQpfHx8uH37Nmq1mk2bNtGiRYtq+0RERODn5wfAmDFjGDRoEKmpqXTo0AGAsLAwjSTnjBkziIuLIzAwELh7gvbMmTMsW7aMoUOHKmUSzM3NadiwocZc9erVY/HixdSpUwdnZ2d69epFamoqw4cPx8bGBj8/PxITE2nTpg0AiYmJdO7cmaZNm1Yae8+ePRk+fDhBQUF4e3tjaGjI3LlzlfutWrWiVatWyvuZM2eyadMmtm7dyqhRozTGGTlyJACTJk1i4cKF7N27Fycnp0deT1VCQkIYNGgQAHPmzGHRokUcOXKE7t27s3jxYjw9PTVOPa9cuRJbW1vOnTuHo6NjpWMWFhZSWFiovM/Pz69yfiGEEEIIIYQQorbICWEhhHjCnJycyMzM5PDhw7z11lsMHTqUM2fOMGLECNRqtfK6l7u7u/J1gwYNAHBzc9O4dvnyZQBu3rxJdnY2YWFhGuPNmjWL7OzsB8bn6upKnTp1lPdWVlbK2ADDhw9n/fr13L59m6KiItatW0doaGi1Y8bGxnLnzh0+/fRT1q5di66urnKvoKCAiIgIXFxcMDU1Ra1Wk5WVVeGE8L17oFKpaNiwoUZcj7qeytw7l6GhIcbGxkqfEydOsHfvXo29dXZ2Bqh2f+fOnYuJiYnysrW1fWDsQgghhBBCCCHEsyYnhIUQ4gnT0dGhefPmALRu3ZqMjAwSEhKYOXMmERERlfapW7eu8rVKpar0WmlpKXA3wQqwfPly2rVrpzHOvYnRqtw77v1jw906yLq6umzatAkdHR2Ki4t5/fXXqx0zOzubS5cuUVpaSk5OjkYyOyIigj179hAbG0vz5s3R19fn9ddfp6io6KHietT1PGyfgoIC/P39mT9/foV+VlZWVY4ZGRnJuHHjlPf5+fmSFBZCCCGEEEII8dyRhLAQQjxlpaWlFBYWYmlpiaWl5WOP16BBA6ytrfn+++8JCgqqtI2Ojg5wt47xw9LW1mbo0KEkJiaio6PDwIED0dfXr7J9UVER//rXvxgwYABOTk6Eh4dz6tQpZa3p6emEhITQt29f4G7CNScn56Fiepz1PCwvLy8+//xz7O3t0dau+T+Turq6GiejhRBCCCGEEEKI55EkhIUQ4gmKjIykR48e2NnZ8ccff7Bu3TrS0tLYtWvXE50nOjqa0aNHY2JiQvfu3SksLOTo0aNcu3aNcePGYWlpib6+Pjt37sTGxgY9PT1MTExqPH54eDguLi7A3YRudaZMmcKNGzdYtGgRarWaHTt2EBoayrZt2wBwcHBg48aN+Pv7o1KpmDZtWo1O/t7rcdfzMN5++22WL1/OoEGDmDhxImZmZly4cIGUlBRWrFhRo1PYQgjxpOTM61XbIQghhBBCiL8ZqSEshBBP0OXLlwkODsbJyYmuXbuSkZHBrl27ePnll5/oPOHh4axYsYLExETc3Nzo3LkzSUlJNGnSBLh7ynfRokUsW7YMa2trAgICHmp8BwcH2rdvj7Ozc4WyFPdKS0sjPj6e1atXY2xsjJaWFqtXr2b//v0sXboUgPfee4969erRvn17/P398fPzw8vL66Hiedz1PAxra2vS09MpKSnhlVdewc3NjbFjx2JqaoqWlvyzKYQQQgghhBDir01VVlZWVttBCCGEeL6UlZXh4ODAyJEjNeriiprLz8/HxMSEGzduYGxsXNvhCCGEEEIIIYT4m6vp/0OlZIQQQggNV65cISUlhV9++YVhw4bVdjhCCCGEEEIIIYR4giQhLIQQQoOlpSX169fno48+ol69erUdjhBCCCGEEEIIIZ4gKYYohHhuhYSE0KdPn9oO47mUlJSEqanpY42Rk5ODSqUiMzNT43pZWRlXrlxh8ODBjzU+gEqlYvPmzcr7//3vf7zwwgvo6enh4eHx2OM/io8//phXXnnlofoMHDiQuLi4pxSREEIIIYQQQgjx7EhCWIh/qKVLl+Lu7o6xsTHGxsb4+Pjw5Zdf1kosVSUm/y7uT4r+k82YMQNDQ0POnj1LampqjfpERUU9seTx7du3mTZtGjNmzFCufffdd7z22mvY29ujUqmIj4+v0G/q1KnMnj2bGzduPJE4hBBCCCGEEEKI2iIlI4T4h7KxsWHevHk4ODhQVlZGcnIyAQEBHD9+HFdX19oOT/xNZWdn06tXLxo3blwr83/22WcYGxvToUMH5dqtW7do2rQp/fr145133qm0X8uWLWnWrBlr1qzh7bffflbhCiFElewnb3+kfjnzej3hSIQQQgghxF+NnBAW4h/K39+fnj174uDggKOjI7Nnz0atVvPNN99U2af8JO8nn3xCx44d0dfXp02bNpw7d46MjAy8vb1Rq9X06NGDK1euaPRdsWIFLi4u6Onp4ezszJIlS5R7TZo0AcDT0xOVSoWvr69G39jYWKysrDA3N+ftt9+muLhYuXft2jWCg4OpV68eBgYG9OjRg/PnzwN3H47WsGFD5syZo7Q/ePAgOjo6pKamkpOTg5aWFkePHtWYLz4+nsaNG1NaWgrcPUHau3dvjI2NMTIyomPHjmRnZwOQkZHByy+/TP369TExMaFz5858++23ylj29vYA9O3bF5VKpbwH2LJlC15eXujp6dG0aVOio6O5c+eOcv/69eu8+eabNGjQAD09PVq2bMm2bds0Yt21axcuLi6o1Wq6d+9OXl6ecq+0tJSYmBhsbGzQ1dXFw8ODnTt3VvLJVm3JkiU4ODigp6dHgwYNeP311zXWdv9pWg8PD6KioiodS6VScezYMWJiYlCpVEq7SZMm4ejoiIGBAU2bNmXatGnKZ5yUlER0dDQnTpxApVKhUqlISkpS9ic8PBwLCwuMjY3p0qULJ06cqHY9KSkp+Pv7a1xr06YNCxYsYODAgejq6lbZ19/fn5SUlGrHF0IIIYQQQgghnneSEBZCUFJSQkpKCjdv3sTHx+eB7WfMmMHUqVP59ttv0dbWZvDgwUycOJGEhAT279/PhQsXmD59utJ+7dq1TJ8+ndmzZ5OVlcWcOXOYNm0aycnJABw5cgSAr776iry8PDZu3Kj03bt3L9nZ2ezdu5fk5GSSkpKUhCDcrTN89OhRtm7dyqFDhygrK6Nnz54UFxdjYWHBypUriYqK4ujRo/zxxx8MGTKEUaNG0bVrV+zt7enWrRuJiYka60tMTCQkJAQtLS1+/vlnOnXqhK6uLv/97385duwYoaGhSuL2jz/+YOjQoRw4cIBvvvkGBwcHevbsyR9//AHcTRiXj5mXl6e8379/P8HBwYwZM4YzZ86wbNkykpKSmD17NnA3mdujRw/S09NZs2YNZ86cYd68edSpU0eJ89atW8TGxrJ69Wq+/vprcnNziYiIUO4nJCQQFxdHbGwsJ0+exM/Pj1dffVVJmD/I0aNHGT16NDExMZw9e5adO3fSqVOnGvWtTF5eHq6urowfP568vDwlViMjI5KSkjhz5gwJCQksX76chQsXAjBgwADGjx+Pq6sreXl55OXlMWDAAAD69evH5cuX+fLLLzl27BheXl507dqV33//vcoYDhw4gLe39yPF37ZtW44cOUJhYeEj9RdCCCGEEEIIIZ4HUjJCiH+wU6dO4ePjw+3bt1Gr1WzatIkWLVo8sF9ERAR+fn4AjBkzhkGDBpGamqr8Gn5YWJhG0nbGjBnExcURGBgI3D0RXJ4EHTp0KBYWFgCYm5vTsGFDjbnq1avH4sWLqVOnDs7OzvTq1YvU1FSGDx/O+fPn2bp1K+np6bRv3x64m3y2tbVl8+bN9OvXj549ezJ8+HCCgoLw9vbG0NCQuXPnKuOHh4czYsQI3nvvPXR1dfn22285deoUW7ZsAeCDDz7AxMSElJQU6tatC4Cjo6PSv0uXLhrxfvTRR5iamrJv3z569+6trM3U1FRjbdHR0UyePJmhQ4cC0LRpU2bOnMnEiROZMWMGX331FUeOHCErK0uZr2nTphpzFRcX8+GHH9KsWTMARo0aRUxMjHI/NjaWSZMmMXDgQADmz5/P3r17iY+P54MPPqjy8y2Xm5uLoaEhvXv3xsjIiMaNG+Pp6fnAflVp2LAh2traqNVqjb2YOnWq8rW9vT0RERGkpKQwceJE9PX1UavVaGtra/Q5cOAAR44c4fLly8qp3tjYWDZv3sxnn33GG2+8UWH+69evc+PGDaytrR8pfmtra4qKivjll18qLXlRWFiokSzOz89/pHmEEEIIIYQQQoinSU4IC/EP5uTkRGZmJocPH+att95i6NChnDlzBoARI0agVquV173c3d2Vrxs0aACAm5ubxrXLly8DcPPmTbKzswkLC9MYb9asWUrZheq4urpqnIq1srJSxs7KykJbW5t27dop983NzXFyciIrK0u5Fhsby507d/j0009Zu3atRlmAPn36UKdOHTZt2gTcLVHw0ksvKaUdMjMz6dixo5IMvt+vv/7K8OHDcXBwwMTEBGNjYwoKCsjNza12XSdOnCAmJkZjT4YPH05eXh63bt0iMzMTGxsbjeTz/QwMDJRk8P17k5+fz6VLlzRq5QJ06NBBY2+q8/LLL9O4cWOaNm3KkCFDWLt2Lbdu3apR34exYcMGOnToQMOGDVGr1UydOrVG+1dQUIC5ubnGHv7www9Vfl/9+eefAOjp6T1SnPr6+gBV7sHcuXMxMTFRXra2to80jxBCCCGEEEII8TTJCWEh/sF0dHRo3rw5AK1btyYjI4OEhO98KU8AAQAASURBVASWLVtGTEyMRvmBe92bHFWpVJVeK6+/W1BQAMDy5cs1EreARqK3KvcnYu8du6ays7O5dOkSpaWl5OTkaCSvdXR0CA4OJjExkcDAQNatW0dCQoJyvzwJWJWhQ4dy9epVEhISaNy4Mbq6uvj4+FBUVFRtv4KCAqKjo5VT0/fS09N74LxQ+d6UlZU9sF9NGRkZ8e2335KWlsbu3buZPn06UVFRZGRkYGpqipaWVoX57q3vXBOHDh0iKCiI6Oho/Pz8lNPYcXFx1fYrKCjAysqKtLS0CvdMTU0r7WNubo5KpeLatWsPFWO58lIU5ae+7xcZGcm4ceOU9/n5+ZIUFkIIIYQQQgjx3JGEsBBCUVpaqvzKu6WlJZaWlo89ZoMGDbC2tub7778nKCio0jY6OjrA3VrGD8PFxYU7d+5w+PBhpWTE1atXOXv2rFL6oqioiH/9618MGDAAJycnwsPDOXXqlMbawsPDadmyJUuWLOHOnTsaSVp3d3eSk5MpLi6u9JRweno6S5YsoWfPngBcvHiR3377TaNN3bp1K6zNy8uLs2fPKgn5+7m7u/PTTz9x7ty5ak8JV8XY2Bhra2vS09Pp3LmzRrxt27at8Tja2tp069aNbt26MWPGDExNTfnvf/9LYGAgFhYWGg+xy8/P54cffnioOA8ePEjjxo2ZMmWKcu3HH3/UaKOjo1Pp/v3yyy9oa2trPKivOjo6OrRo0YIzZ87wyiuvPFScAKdPn8bGxob69etXel9XV7fah9IJIYQQQgghhBDPA0kIC/EPFRkZSY8ePbCzs+OPP/5g3bp1pKWlsWvXric+V3R0NKNHj8bExITu3btTWFjI0aNHuXbtGuPGjcPS0hJ9fX127tyJjY0Nenp6mJiYPHBcBwcHAgICGD58OMuWLcPIyIjJkyfTqFEjAgICAJgyZQo3btxg0aJFqNVqduzYQWhoKNu2bVPGcXFx4YUXXmDSpEmEhoZqnM4dNWoU77//PgMHDiQyMhITExO++eYb2rZti5OTEw4ODqxevRpvb2/y8/OZMGFChdO99vb2So1lXV1d6tWrx/Tp0+nduzd2dna8/vrraGlpceLECU6fPs2sWbPo3LkznTp14rXXXuO9996jefPm/O9//0OlUtG9e/ca7fuECROYMWMGzZo1w8PDg8TERDIzM1m7dm2N+m/bto3vv/+eTp06Ua9ePXbs2EFpaSlOTk7A3frJSUlJ+Pv7Y2pqyvTp02t06vteDg4O5ObmkpKSQps2bdi+fbtSvuPe/fvhhx+UMhpGRkZ069YNHx8f+vTpw7vvvoujoyOXLl1i+/bt9O3bt8oHx/n5+XHgwAHGjh2rXCsqKlJKpRQVFfHzzz+TmZmJWq3WSNjv37//kRLJQgjxNOTM61XbIQghhBBCiL8oqSEsxD/U5cuXCQ4OxsnJia5du5KRkcGuXbt4+eWXn/hc4eHhrFixgsTERNzc3OjcuTNJSUk0adIEuHsKddGiRSxbtgxra2slmVsTiYmJtG7dmt69e+Pj40NZWRk7duygbt26pKWlER8fz+rVqzE2NkZLS4vVq1ezf/9+li5dqjFOWFgYRUVFhIaGalw3Nzfnv//9LwUFBXTu3JnWrVuzfPly5bTwxx9/zLVr1/Dy8mLIkCGMHj26wsnquLg49uzZg62trfJQNj8/P7Zt28bu3btp06YNL7zwAgsXLtR4WNnnn39OmzZtGDRoEC1atGDixIkPdYp69OjRjBs3jvHjx+Pm5sbOnTvZunUrDg4ONepvamrKxo0b6dKlCy4uLnz44YesX78eV1dX4O4PFTp37kzv3r3p1asXffr00ahpXBOvvvoq77zzDqNGjcLDw4ODBw8ybdo0jTavvfYa3bt356WXXsLCwoL169ejUqnYsWMHnTp1YtiwYTg6OjJw4EB+/PFHpa51ZcLCwtixYwc3btxQrl26dAlPT088PT3Jy8sjNjYWT09PwsPDlTa3b99m8+bNDB8+/KHWJ4QQQgghhBBCPG9UZU+y4KQQQvxFzZw5k08//ZSTJ0/WdijiKevXrx9eXl5ERkbWuM/SpUvZtGkTu3fvrnGf/Px8TExMuHHjBsbGxo8SqhBCCCGEEEIIUWM1/X+onBAWQvyjFRQUcPr0aRYvXsy///3v2g5HPAMLFixArVY/VJ+6devy/vvvP6WIhBBCCCGEEEKIZ0dOCAsh/tFCQkJYv349ffr0Yd26dQ9dA1eIqsgJYSGEEEIIIYQQz5KcEBbiCQsJCaFPnz5/m3keR1RUFA0aNEClUrF58+baDqcCe3t74uPja9Q2KSmJwsJCNmzY8NDJ4IeZ5+8uKioKDw+PWh/jSbn/s31ev9eFEEIIIYQQQoiHJQlh8VRFRUWhUqk0Xs7OzrUaU1JSEqamprUaQ3USEhJISkp6JnOVlZURGxuLo6Mjurq6NGrUiNmzZ1fbJysri+joaJYtW0ZeXh49evR4JrE+jzIyMnjjjTee+jwbN27E29sbU1NTDA0N8fDwYPXq1U993qr8E5Kjz+qzFUIIIYQQQgghnjXt2g5A/P25urry1VdfKe+1teXbrjomJibPbK4xY8awe/duYmNjcXNz4/fff+f333+vtk92djYAAQEBqFSqR567uLiYunXrPnL/54GFhcUzmcfMzIwpU6bg7OyMjo4O27ZtY9iwYVhaWuLn5/dMYvirKCoqQkdH57HHeVafrRBCPGv2k7fXdgjPnZx5vWo7BCGEEEKIZ0pOCIunTltbm4YNGyqv+vXrV9t+0qRJODo6YmBgQNOmTZk2bRrFxcUabb744gvatGmDnp4e9evXp2/fvsq9wsJCIiIiaNSoEYaGhrRr1460tDQA0tLSGDZsGDdu3FBOLEdFRRETE0PLli0rxOLh4cG0adMqjXPnzp28+OKLmJqaYm5uTu/evZVkKUBOTg4qlYpPPvmEjh07oq+vT5s2bTh37hwZGRl4e3ujVqvp0aMHV65cUfrdXzLC19eX0aNHM3HiRMzMzGjYsCFRUVEaseTm5hIQEIBarcbY2Jj+/fvz66+/VrvPWVlZLF26lC1btvDqq6/SpEkTWrduzcsvv1xln6ioKPz9/QHQ0tJSEsKlpaXExMRgY2ODrq4uHh4e7Ny5s8JebNiwgc6dO6Onp8fatWuVtc6ZM4cGDRpgampKTEwMd+7cYcKECZiZmWFjY0NiYqIyVpcuXRg1apRGXFeuXEFHR4fU1NRK437vvfdwc3PD0NAQW1tbRo4cSUFBgXK//NT4tm3bcHJywsDAgNdff51bt26RnJyMvb099erVY/To0ZSUlCj9KisrsGLFCvr27YuBgQEODg5s3bpVI5Z9+/bRtm1bdHV1sbKyYvLkydy5c6fKPYe73wN9+/bFxcWFZs2aMWbMGNzd3Tlw4EC1/VQqFcuWLaN3794YGBjg4uLCoUOHuHDhAr6+vhgaGtK+fXuN71uALVu24OXlhZ6eHk2bNiU6OlqJ0d7eHoC+ffuiUqmU9+VWr16Nvb09JiYmDBw4kD/++AOAVatWYW5uTmFhoUb7Pn36MGTIkCrXPXbs2ArtQ0JClPf29vbMnDmT4OBgjI2NlVO9j/v3iJQDEUIIIYQQQgjxdyUJYfHUnT9/Hmtra5o2bUpQUBC5ubnVtjcyMiIpKYkzZ86QkJDA8uXLWbhwoXJ/+/bt9O3bl549e3L8+HFSU1Np27atcn/UqFEcOnSIlJQUTp48Sb9+/ejevTvnz5+nffv2xMfHY2xsTF5eHnl5eURERBAaGkpWVhYZGRnKOMePH+fkyZMMGzas0jhv3rzJuHHjOHr0KKmpqWhpadG3b19KS0s12s2YMYOpU6fy7bffoq2tzeDBg5k4cSIJCQns37+fCxcuMH369Gr3JDk5GUNDQw4fPsy7775LTEwMe/bsAe4mYwMCAvj999/Zt28fe/bs4fvvv2fAgAHVjvnFF1/QtGlTtm3bRpMmTbC3tyc8PLzaE8IRERFKcrZ8/+BumYu4uDhiY2M5efIkfn5+vPrqq5w/f16j/+TJkxkzZgxZWVnKydb//ve/XLp0ia+//pr33nuPGTNm0Lt3b+rVq8fhw4cZMWIEb775Jj/99BMA4eHhrFu3TiOxuGbNGho1akSXLl0qjVtLS4tFixbx3XffkZyczH//+18mTpyo0ebWrVssWrSIlJQUdu7cSVpaGn379mXHjh3s2LGD1atXs2zZMj777LNq9zU6Opr+/ftz8uRJevbsSVBQkLKnP//8Mz179qRNmzacOHGCpUuX8vHHHzNr1qxqx7xXWVkZqampnD17lk6dOj2wfXmyNDMzE2dnZwYPHsybb75JZGQkR48epaysTCPBvn//foKDgxkzZgxnzpxh2bJlJCUlKaVEyv+MJCYmkpeXp/FnJjs7m82bN7Nt2za2bdvGvn37mDdvHgD9+vWjpKREI0F++fJltm/fTmhoaI3XX5nY2FhatWrF8ePHlR/gPO7fI0IIIYQQQgghxN+V/O6+eKratWtHUlISTk5O5OXlER0dTceOHTl9+jRGRkaV9pk6darytb29PREREaSkpCgJvNmzZzNw4ECio6OVdq1atQLunpRNTEwkNzcXa2tr4G4Sc+fOnSQmJjJnzhxMTExQqVQ0bNhQ6a9Wq/Hz8yMxMZE2bdoAdxNenTt3pmnTppXG+dprr2m8X7lyJRYWFpw5c0bjtHFERISS/BwzZgyDBg0iNTWVDh06ABAWFvbAmsHu7u7MmDEDAAcHBxYvXkxqaiovv/wyqampnDp1ih9++AFbW1vg7mlMV1dXMjIylPXc7/vvv+fHH3/k008/ZdWqVZSUlPDOO+/w+uuv89///rfSPmq1Wqm/fO/+xcbGMmnSJAYOHAjA/Pnz2bt3L/Hx8XzwwQdKu7FjxxIYGKgxppmZGYsWLUJLSwsnJyfeffddbt26xX/+8x8AIiMjmTdvHgcOHGDgwIEEBgYyatQotmzZQv/+/YG7J3xDQkKqLGFx7ylTe3t7Zs2axYgRI1iyZIlyvbi4mKVLl9KsWTMAXn/9dVavXs2vv/6KWq2mRYsWvPTSS+zdu7faZHtISAiDBg0CYM6cOSxatIgjR47QvXt3lixZgq2tLYsXL1bqaV+6dIlJkyYxffp0tLSq/hndjRs3aNSoEYWFhdSpU4clS5ZUe5q73LBhw5R9mjRpEj4+PkybNk3je/LeH3pER0czefJkhg4dCkDTpk2ZOXMmEydOZMaMGUopBVNTU43vAbj7w4mkpCTlz/aQIUNITU1l9uzZ6OvrM3jwYBITE+nXrx9wN5FvZ2eHr6/vA9dRnS5dujB+/HiNa4/z98ijKiws1PhBRX5+/mONJ4QQQgghhBBCPA1yQlg8VT169KBfv364u7vj5+fHjh07uH79Op988gkjRoxArVYrr3IbNmygQ4cONGzYELVazdSpUzVOFWdmZtK1a9dK5zt16hQlJSU4OjpqjL1v374KvxZ/v+HDh7N+/Xpu375NUVER69atq/bk4vnz5xk0aBBNmzbF2NhY+dX5+09Au7u7K183aNAAADc3N41rly9frja2e8cAsLKyUvpkZWVha2urJIMBWrRogampKVlZWcDdOs7le1H+ELjS0lIKCwtZtWoVHTt2xNfXl48//pi9e/dy9uxZcnNzNfZwzpw5lcaWn5/PpUuXlAR3uQ4dOijzl/P29q7Q39XVVSMR2qBBA439qVOnDubm5sp69fT0GDJkCCtXrgTg22+/5fTp0xplBO731Vdf0bVrVxo1aoSRkRFDhgzh6tWr3Lp1S2ljYGCgJIPL47C3t9f43nzYz8rQ0BBjY2ONz8rHx0cjcd2hQwcKCgr46aefqt1zIyMjMjMzycjIYPbs2YwbN04phTJnzhyNfvd+D9bk++/27dtK8vLEiRPExMRojDd8+HDy8vI09qsy9vb2Gj/ouff7FO7+Gdu9ezc///wz8OBEfk1V9n31OH+PPKq5c+diYmKivO79MymEEEIIIYQQQjwv5ISweKZMTU1xdHTkwoULxMTEEBERoXH/0KFDBAUFER0djZ+fHyYmJqSkpBAXF6e00dfXr3L8goIC6tSpw7Fjx6hTp47GvXsTe5Xx9/dHV1eXTZs2oaOjQ3FxMa+//nq17Rs3bszy5cuxtramtLSUli1bUlRUpNHu3genlSe+7r92f5mJ+93/8LWa9LnXjh07lPqp5ftnZWWFtrY2jo6OSjsXFxfgblL7pZdeIjMzU7lnZmZW4/mqYmhoWOFaZWt70HrDw8Px8PDgp59+IjExkS5dutC4ceNK58zJyaF379689dZbzJ49GzMzMw4cOEBYWBhFRUUYGBg8chyVeZzPytrauso919LSonnz5sDd2tZZWVnMnTsXX19fRowYoZwCLh+nsniq+v4DlBgLCgqIjo6ucJIb7ibjq/OgtXt6etKqVStWrVrFK6+8wnfffcf27VU/3EhLS4uysjKNa/fXAYaK31eP+/fIo4qMjGTcuHHK+/z8fEkKCyGEEEIIIYR47khCWDxTBQUFZGdnM2TIECwtLbG0tNS4f/DgQRo3bsyUKVOUaz/++KNGG3d3d1JTUyut7evp6UlJSQmXL1+mY8eOlcago6Oj8WCwctra2gwdOpTExER0dHQYOHBglUmjq1evcvbsWZYvX67M86AHfD0tLi4uXLx4kYsXLyrJpzNnznD9+nVatGgBUGmytEOHDty5c4fs7GzlZOy5c+eU9tra2koCsjrGxsZYW1uTnp5O586dlevp6elPrSarm5sb3t7eLF++nHXr1rF48eIq2x47dozS0lLi4uKUk8iffPLJU4nrQVxcXPj8888pKytTErHp6ekYGRlhY2OjkfR9kPIT3nA3cfwkEvYAXl5enD17tto46tatW+mfoZoIDw8nPj6en3/+mW7dulWbMLWwsFDqVAOUlJRw+vRpXnrppWrneNy/Rx6Vrq4uurq6T2w8IYQQQgghhBDiaZCEsHiqIiIilJO0ly5dYsaMGdSpU0epsXo/BwcHcnNzSUlJoU2bNmzfvp1NmzZptJkxYwZdu3alWbNmDBw4kDt37rBjxw4mTZqEo6MjQUFBBAcHExcXh6enJ1euXCE1NRV3d3d69eqFvb09BQUFpKam0qpVKwwMDJRTouHh4cop2fT09CrXVa9ePczNzfnoo4+wsrIiNzeXyZMnP6FdezjdunXDzc2NoKAg4uPjuXPnDiNHjqRz586V/ir9vf28vLwIDQ0lPj6e0tJS3n77bV5++WWNU8M1MWHCBGbMmEGzZs3w8PAgMTGRzMxM1q5d+7jLq1J4eDijRo3C0NCQvn37VtmuefPmFBcX8/777+Pv7096ejoffvjhU4urOiNHjiQ+Pp5///vfjBo1irNnzzJjxgzGjRtXbf3guXPn4u3tTbNmzSgsLFQecrd06dInHuP06dPp3bs3dnZ2vP7662hpaXHixAlOnz6tPPzO3t5eqYOtq6tLvXr1ajz+4MGDiYiIYPny5axataratl26dGHcuHFs376dZs2a8d5773H9+vUHzvG4f48IIcTfWc68XrUdghBCCCGEqGVSQ1g8VT/99BODBg3CycmJ/v37Y25uzjfffKM8mOp+r776Ku+88w6jRo3Cw8ODgwcPMm3aNI02vr6+fPrpp2zduhUPDw+6dOnCkSNHlPuJiYkEBwczfvx4nJyc6NOnDxkZGdjZ2QHQvn17RowYwYABA7CwsODdd99V+jo4ONC+fXucnZ1p165dlevS0tIiJSWFY8eO0bJlS9555x0WLFjwOFv1yFQqFVu2bKFevXp06tSJbt260bRpUzZs2FBtPy0tLb744gvq169Pp06d6NWrFy4uLqSkpDx0DKNHj2bcuHGMHz8eNzc3du7cydatW3FwcHjUZT3QoEGD0NbWZtCgQdWWMmjVqhXvvfce8+fPp2XLlqxdu5a5c+c+tbiq06hRI3bs2MGRI0do1aoVI0aMICwsTOMBaJW5efMmI0eOxNXVlQ4dOvD555+zZs0awsPDn3iMfn5+bNu2jd27d9OmTRteeOEFFi5cqHHKPC4ujj179mBra4unp+dDjW9iYsJrr72GWq2mT58+1bYNDQ1l6NChBAcHKw94fNDpYHgyf48IIYQQQgghhBB/V6qy+ws0CvEPVlZWhoODAyNHjtSoBSqePzk5OTRr1oyMjAy8vLxqOxzxELp27YqrqyuLFi2q7VCeqvz8fExMTLhx4wbGxsa1HY4QQgghhBBCiL+5mv4/VEpGCPF/rly5QkpKCr/88ssTrSsqnqzi4mKuXr3K1KlTeeGFFyQZ/Bdy7do10tLSSEtLY8mSJbUdjhBCCCGEEEII8Y8kCWEh/o+lpSX169fno48+eqiaqOLZSk9P56WXXsLR0ZHPPvustsMRD8HT05Nr164xf/58nJycajscIYQQQgghhBDiH0lqCAvxf8rKyrhy5QqDBw9+6L4ff/wxr7zyymPHoFKp2Lx582OP86zGfdJycnJQqVRkZmZW2cbX15eysjLOnj2Lm5vbU4vF3t6e+Ph4AIqKirC3t+fo0aNPbb5HcW+MfwU5OTncuHGDiIiIJzLe/ev/5ZdfePnllzE0NMTU1PSJzCGEEEIIIYQQQvzdSEJYiP+zdOlS3N3dMTY2xtjYGB8fH7788ssH9rt9+zbTpk1jxowZyrWNGzfi7e2NqakphoaGeHh4sHr16qcZvniKdHR0iIiIYNKkSbUdioaMjAzeeOONZzpnTZL2tWXhwoXk5eWRmZnJuXPnatQnKSlJksdCCCGEEEIIIf5RpGSEEP/HxsaGefPm4eDgQFlZGcnJyQQEBHD8+HFcXV2r7PfZZ59hbGxMhw4dlGtmZmZMmTIFZ2dndHR02LZtG8OGDcPS0hI/P79nsZyHUlxcTN26dWs7jOdaUFAQ48eP57vvvqv2++FBioqK0NHReSIxWVhYPJFx/i6ys7Np3bo1Dg4OtR2KEEI8t+wnb6/tEJ65nHm9ajsEIYQQQojnipwQFuL/+Pv707NnTxwcHHB0dGT27Nmo1Wq++eabavulpKTg7++vcc3X15e+ffvi4uJCs2bNGDNmDO7u7hw4cOCBcfz222/07dsXAwMDHBwc2Lp1K3C3pEXz5s2JjY3VaJ+ZmYlKpeLChQsAnD9/nk6dOqGnp0eLFi3Ys2ePRvvyE54bNmygc+fO6OnpsXbtWkpLS4mJicHGxgZdXV08PDzYuXOnMne3bt3w8/OjrKwMgN9//x0bGxumT59e49hUKhVLly6lR48e6Ovr07Rp00rrAH///fe89NJLGBgY0KpVKw4dOqRx/8CBA3Ts2BF9fX1sbW0ZPXo0N2/eVO7b29szZ84cQkNDMTIyws7Ojo8++ki536VLF0aNGqUx5pUrV9DR0SE1NbXSz6VevXp06NCBlJQU5VpISAh9+vQhOjoaCwsLjI2NGTFiBEVFRUobX19fRo0axdixY6lfv77yA4F9+/bRtm1bdHV1sbKyYvLkydy5c6dCv1GjRmFiYkL9+vWZNm2asv/l67y3ZEJubi4BAQGo1WqMjY3p378/v/76q3I/KipKOa1ub2+PiYkJAwcO5I8//lDa7Ny5kxdffBFTU1PMzc3p3bs32dnZyv0mTZoAd+sBq1QqfH19lXsrVqzAxcUFPT09nJ2dH/jguM8++ww3Nzf09fUxNzenW7duyufo6+vL2LFjNdr36dOHkJCQSseyt7fn888/Z9WqVahUKqXde++9h5ubG4aGhtja2jJy5EgKCgoASEtLY9iwYdy4cQOVSoVKpSIqKgqAwsJCIiIiaNSoEYaGhrRr1460tLRq1yOEEEIIIYQQQvwVSEJYiEqUlJSQkpLCzZs38fHxqbbtgQMH8Pb2rvJ+WVkZqampnD17lk6dOj1w7ujoaPr378/Jkyfp2bMnQUFB/P7776hUKkJDQ0lMTNRon5iYSKdOnWjevDmlpaUEBgaio6PD4cOH+fDDD6ssczB58mTGjBlDVlYWfn5+JCQkEBcXR2xsLCdPnsTPz49XX32V8+fPo1KpSE5OJiMjg0WLFgEwYsQIGjVqxPTp02sUW7lp06bx2muvceLECYKCghg4cCBZWVka/aZMmUJERASZmZk4OjoyaNAgJVmanZ1N9+7dee211zh58iQbNmzgwIEDFRK8cXFxeHt7c/z4cUaOHMlbb73F2bNnAQgPD2fdunUUFhYq7desWUOjRo3o0qVLlZ9N27Zt2b9/v8a11NRUsrKySEtLY/369WzcuJHo6GiNNsnJyejo6JCens6HH37Izz//TM+ePWnTpg0nTpxg6dKlfPzxx8yaNatCP21tbY4cOUJCQgLvvfceK1asqDS20tJSAgIC+P3339m3bx979uzh+++/Z8CAARrtsrOz2bx5M9u2bWPbtm3s27ePefPmKfdv3rzJuHHjOHr0KKmpqWhpadG3b19KS0sBOHLkCABfffUVeXl5bNy4EYC1a9cyffp0Zs+eTVZWFnPmzGHatGkkJydXGm9eXh6DBg0iNDRU2b/AwECNhPfDyMjIoHv37vTv35+8vDwSEhIA0NLSYtGiRXz33XckJyfz3//+l4kTJwLQvn174uPjMTY2Ji8vj7y8PKW+8ahRozh06BApKSmcPHmSfv360b17d86fP/9I8QkhhBBCCCGEEM8LKRkhxD1OnTqFj48Pt2/fRq1Ws2nTJlq0aFFl++vXr3Pjxg2sra0r3Ltx4waNGjWisLCQOnXqsGTJEl5++eUHxhASEsKgQYMAmDNnDosWLeLIkSN0796dkJAQpk+fzpEjR2jbti3FxcWsW7dOOZn71Vdf8b///Y9du3YpMc2ZM4cePXpUmGfs2LEEBgYq72NjY5k0aRIDBw4EYP78+ezdu5f4+Hg++OADGjVqxLJlywgODuaXX35hx44dHD9+HG1tbSXu6mIr169fP8LDwwGYOXMme/bs4f3339c4TRoREUGvXnd/vTM6OhpXV1cuXLiAs7Mzc+fOJSgoSDk96uDgwKJFi+jcuTNLly5FT08PgJ49ezJy5EgAJk2axMKFC9m7dy9OTk4EBgYyatQotmzZQv/+/YG7tWRDQkJQqVRVfjbW1tb8+OOPGtd0dHRYuXIlBgYGuLq6EhMTw4QJE5g5cyZaWlpKjO+++67SZ8qUKdja2rJ48WJUKhXOzs5cunSJSZMmMX36dKWfra0tCxcuRKVS4eTkxKlTp1i4cCHDhw+vEFtqaiqnTp3ihx9+wNbWFoBVq1bh6upKRkYGbdq0Ae4mjpOSkjAyMgJgyJAhpKamMnv2bABee+01jXFXrlyJhYUFZ86coWXLlkqZCnNzcxo2bKi0mzFjBnFxccr3VJMmTThz5gzLli1j6NChFeLNy8vjzp07BAYG0rhxY4DHekighYUFurq66Ovra8R17ylje3t7Zs2axYgRI1iyZAk6OjqYmJigUqk0+uTm5pKYmEhubq7y5ygiIoKdO3eSmJjInDlzKo2hsLBQ44cM+fn5j7weIYQQQgghhBDiaZETwkLcw8nJiczMTA4fPsxbb73F0KFDOXPmDHD3RKxarVZeAH/++SeAkoS8l5GREZmZmWRkZDB79mzGjRun/Mr5nDlzNMbKzc1V+rm7uytfGxoaYmxszOXLl4G7CclevXqxcuVKAL744gsKCwvp168fAFlZWdja2mokqKs64Xzvqeb8/HwuXbqkUQcZoEOHDhqnd/v160ffvn2ZN28esbGxGrVaHxRbVfH4+PhUOCF87x5YWVkBKHtw4sQJkpKSNPbPz8+P0tJSfvjhh0rHKE/4lY+hp6fHkCFDlFi//fZbTp8+XWU5gnL6+vrcunVL41qrVq0wMDDQWE9BQQEXL15UrrVu3VqjT1ZWFj4+PhrJ5w4dOlBQUMBPP/2kXHvhhRc02vj4+HD+/HlKSkoqxFb+2ZcngwFatGiBqampxv7a29sryWC4u7/l+wJ3S44MGjSIpk2bYmxsjL29PYDG9+j9bt68SXZ2NmFhYRqfy6xZszTKTdyrVatWdO3aFTc3N/r168fy5cu5du1alXM8qq+++oquXbvSqFEjjIyMGDJkCFevXq3wOd7r1KlTlJSU4OjoqLGeffv2VbkegLlz52JiYqK87v0shBBCCCGEEEKI54WcEBbiHjo6Okp5g9atW5ORkUFCQgLLli0jJiZG+XXycubm5qhUqkoTWVpaWspYHh4eZGVlMXfuXHx9fRkxYoRyMhXQSODe/3A3lUql/Lo+3C13MGTIEBYuXEhiYiIDBgzQSEjWlKGh4UP3uXXrFseOHaNOnTqV/ur8k4rt3j0oT4iW70FBQQFvvvkmo0ePrtDPzs6u0jHKx7l/Hz08PPjpp59ITEykS5cuyknVqvz++++P9CC3R9nrp+VB++Lv70/jxo1Zvnw51tbWlJaW0rJlS426yPcrr8m7fPly2rVrp3GvTp06lfapU6cOe/bs4eDBg+zevZv333+fKVOmcPjwYZo0aYKWllaF8hHFxcUPtdacnBx69+7NW2+9xezZszEzM+PAgQOEhYVRVFRU5fdmQUEBderUUb7X71X+w6DKREZGMm7cOOV9fn6+JIWFEEIIIYQQQjx3JCEsRDVKS0uVXwG3tLTE0tJS476Ojg4tWrTgzJkzvPLKKzUey8zMDDMzs0eKqWfPnhgaGrJ06VJ27tzJ119/rdxzcXHh4sWL5OXlKSdrH/RQPABjY2Osra1JT0+nc+fOyvX09HTatm2rvB8/fjxaWlp8+eWX9OzZk169emnU3K0utnLffPMNwcHBGu89PT1rvH4vLy/OnDmjUZf4Ubi5ueHt7c3y5ctZt24dixcvfmCf06dPV4j1xIkT/Pnnn+jr6wN316NWq6tNBLq4uPD5559TVlamJLzT09MxMjLCxsZGaXf48GGNft988w0ODg6VJlnLP/uLFy8qc585c4br169XW/bkXlevXuXs2bMsX76cjh07AlR4EKKOjg6AxinlBg0aYG1tzffff09QUFCN5oK7yegOHTrQoUMHpk+fTuPGjdm0aRPjxo3DwsKCvLw8pW1JSQmnT5/mpZdeqvH4x44do7S0lLi4OKUMxyeffFJhPfefuPb09KSkpITLly8r+1ATurq66Orq1ri9EEIIIYQQQghRGyQhLMT/iYyMpEePHtjZ2fHHH3+wbt060tLS2LVrV7X9/Pz8OHDggEat0rlz5+Lt7U2zZs0oLCxkx44drF69mqVLlz52nHXq1CEkJITIyEgcHBw0SjB069YNR0dHhg4dyoIFC8jPz2fKlCk1GnfChAnMmDGDZs2a4eHhQWJiIpmZmaxduxaA7du3s3LlSg4dOoSXlxcTJkxg6NChnDx5knr16j0wtnKffvop3t7evPjii6xdu5YjR47w8ccf13j9kyZN4oUXXmDUqFGEh4djaGjImTNn2LNnT42SuvcKDw9n1KhRGBoa0rdv3we2379/PzNnztS4VlRURFhYGFOnTiUnJ4cZM2YwatQoJQFZmZEjRxIfH8+///1vRo0axdmzZ5kxYwbjxo3T6Jebm8u4ceN48803+fbbb3n//feJi4urdMxu3brh5uZGUFAQ8fHx3Llzh5EjR9K5c+dqH3p4r3r16mFubs5HH32ElZUVubm5TJ48WaONpaUl+vr67Ny5ExsbG/T09DAxMSE6OprRo0djYmJC9+7dKSws5OjRo1y7dk3j1Gy5w4cPk5qayiuvvIKlpSWHDx/mypUruLi4ANClSxfGjRvH9u3badasGe+99x7Xr1+v0TrKNW/enOLiYt5//338/f2Vh/rdy97enoKCAlJTU5XyH46OjgQFBREcHExcXByenp5cuXKF1NRU3N3dlfrWQgjxV5QzT/4OE0IIIYT4p5MawkL8n8uXLxMcHIyTkxNdu3YlIyODXbt2PfBBcGFhYezYsYMbN24o127evMnIkSNxdXWlQ4cOfP7556xZs0Z5mNrjKv+V92HDhmlc19LSYtOmTfz555+0bduW8PBw5WFhDzJ69GjGjRvH+PHjcXNzY+fOnWzduhUHBweuXLlCWFgYUVFReHl5AXcf9tagQQNGjBhRo9jKRUdHk5KSgru7O6tWrWL9+vU1PsEKd2sD79u3j3PnztGxY0c8PT2ZPn16pQ/2e5BBgwahra3NoEGDKq0Dfa9Dhw5x48YNXn/9dY3rXbt2xcHBgU6dOjFgwABeffVVoqKiqh2rUaNG7NixgyNHjtCqVStGjBihJJXvFRwcrHyWb7/9NmPGjOGNN96odEyVSsWWLVuoV68enTp1olu3bjRt2pQNGzY8eCP+j5aWFikpKRw7doyWLVvyzjvvsGDBAo022traLFq0iGXLlmFtbU1AQABwN7m+YsUKEhMTcXNzo3PnziQlJdGkSZNK5zI2Nubrr7+mZ8+eODo6MnXqVOLi4pQHIIaGhjJ06FCCg4Pp3LkzTZs2fajTwXC3TvF7773H/PnzadmyJWvXrmXu3Lkabdq3b8+IESMYMGAAFhYWysP/EhMTCQ4OZvz48Tg5OdGnTx8yMjI0ypIIIYQQQgghhBB/Raqy+4s0CiEeWr9+/fDy8iIyMvKZzLd//366du3KxYsXadCgwTOZs6aqi02lUrFp0yb69OlTO8HdJycnh2bNmpGRkaEkuqsyYMAAWrVqxX/+8x/lWkhICNevX2fz5s1PPDZfX188PDyIj49/4mOLZyM/Px8TExNu3LiBsbFxbYcjhBBCCCGEEOJvrqb/D5UTwkI8AQsWLKj2YVNPSmFhIT/99BNRUVH069fvuUoGP8+x3a+4uJhffvmFqVOn8sILLzwwGVxUVISbmxvvvPPOM4pQCCGEEEIIIYQQ4umQhLAQT4C9vT3//ve/n/o869evp3Hjxly/fl351fbnxfMc2/3S09OxsrIiIyOjQk3Zyujo6DB16lTlwXFCCCGEEEIIIYQQf1VSMkIIIR5RVFQUmzdvJjMzs1bHeBT29vaMHTtW42GI4smSkhFCCCGEEEIIIZ4lKRkhhHiuLF26FHd3d4yNjTE2NsbHx4cvv/yyRn1TUlJQqVS1WntYpVI9lVrBf3e+vr7PddL5eY9PCCGEEEIIIYR40rRrOwAhxD+DjY0N8+bNw8HBgbKyMpKTkwkICOD48eO4urpW2S8nJ4eIiAg6duz4DKMVQgjxJNhP3l7bIYj75MzrVdshCCGEEEKIWiYnhIUQz4S/vz89e/bEwcEBR0dHZs+ejVqt5ptvvqmyT0lJCUFBQURHR9O0adMazaNSqVi2bBm9e/fGwMAAFxcXDh06xIULF/D19cXQ0JD27duTnZ2t0W/Lli14eXmhp6dH06ZNiY6O5s6dO8Dd8goAffv2RaVSKe/LrV69Gnt7e0xMTBg4cCB//PEHAKtWrcLc3JzCwkKN9n369GHIkCFVrmHFihW4uLigp6eHs7MzS5YsUe7l5OSgUqnYuHEjL730EgYGBrRq1YpDhw5pjHHgwAE6duyIvr4+tra2jB49mps3b2q0uXXrFqGhoRgZGWFnZ8dHH32kcf/ixYv0798fU1NTzMzMCAgIICcnR7kfEhJCnz59iI6OxsLCAmNjY0aMGEFRUZFyf9++fSQkJKBSqVCpVOTk5FBSUkJYWBhNmjRBX18fJycnEhISNOYuHzs2NhYrKyvMzc15++23KS4uVtpcu3aN4OBg6tWrh4GBAT169OD8+fPK/atXrzJo0CAaNWqEgYEBbm5urF+/XmOOyuIDOH36ND169ECtVtOgQQOGDBnCb7/9VuVnJoQQQgghhBBC/FVIQlgI8cyVlJSQkpLCzZs38fHxqbJdTEwMlpaWhIWFPdT4M2fOJDg4mMzMTJydnRk8eDBvvvkmkZGRHD16lLKyMkaNGqW0379/P8HBwYwZM4YzZ86wbNkykpKSmD17NgAZGRkAJCYmkpeXp7wHyM7OZvPmzWzbto1t27axb98+5s2bB0C/fv0oKSlh69atSvvLly+zfft2QkNDK4197dq1TJ8+ndmzZ5OVlcWcOXOYNm0aycnJGu2mTJlCREQEmZmZODo6MmjQICWBnZ2dTffu3Xnttdc4efIkGzZs4MCBAxprBoiLi8Pb25vjx48zcuRI3nrrLc6ePQtAcXExfn5+GBkZsX//ftLT01Gr1XTv3l1J+AKkpqaSlZVFWloa69evZ+PGjURHRwOQkJCAj48Pw4cPJy8vj7y8PGxtbSktLcXGxoZPP/2UM2fOMH36dP7zn//wySefaMS3d+9esrOz2bt3L8nJySQlJZGUlKTcDwkJ4ejRo2zdupVDhw5RVlZGz549laTx7du3ad26Ndu3b+f06dO88cYbDBkyhCNHjlQb3/Xr1+nSpQuenp4cPXqUnTt38uuvv9K/f/9KP7NyhYWF5Ofna7yEEEIIIYQQQojnjTxUTgjxzJw6dQofHx9u376NWq1m3bp19OzZs9K2Bw4cYODAgWRmZlK/fn1CQkK4fv36A+v4qlQqpk6dysyZMwH45ptv8PHx4eOPP1aSsCkpKQwbNow///wTgG7dutG1a1ciIyOVcdasWcPEiRO5dOmSMu6mTZs06hhHRUWxYMECfvnlF4yMjACYOHEiX3/9tXLyeeTIkeTk5LBjxw4A3nvvPT744AMuXLiASqWq8FC55s2bM3PmTAYNGqTMM2vWLHbs2MHBgwfJycmhSZMmrFixQkmUnzlzBldXV7KysnB2diY8PJw6deqwbNkyjf3s3LkzN2/eRE9PD3t7ezp27Mjq1asBKCsro2HDhkRHRzNixAjWrFnDrFmzyMrKQqVSAVBUVISpqSmbN2/mlVdeISQkhC+++IKLFy9iYGAAwIcffsiECRO4ceMGWlpa+Pr64uHhQXx8fLWf26hRo/jll1/47LPPgLvJ3rS0NLKzs6lTpw4A/fv3R0tLi5SUFM6fP4+joyPp6em0b98euHsi2NbWluTkZPr161fpPL1798bZ2ZnY2FiASuObNWsW+/fvZ9euXcq1n376CVtbW86ePYujo2OlY0dFRSnJ8HvJQ+XEP5mUjHj+SMkIIYQQQoi/L3monBDiuePk5ERmZiaHDx/mrbfeYujQoZw5c6ZCuz/++IMhQ4awfPly6tevX+lYc+bMQa1WK6/c3Fzlnru7u/J1gwYNAHBzc9O4dvv2beUE54kTJ4iJidEYr/zU6K1bt6pdk729vZIMBrCysuLy5cvK++HDh7N7925+/vlnAJKSkggJCVGSrPe6efMm2dnZhIWFacQya9asCiUu7l2jlZUVgDLviRMnSEpK0hjDz8+P0tJSfvjhh0rHUKlUNGzYUGOMCxcuYGRkpIxhZmbG7du3NWJp1aqVkgwG8PHxoaCggIsXL1a7bx988AGtW7fGwsICtVrNRx99pPEZAri6uirJ4Pv3NisrC21tbdq1a6fcNzc3x8nJiaysLODuSfSZM2fi5uaGmZkZarWaXbt2VZjnfidOnGDv3r0a++fs7AxQ4XO4V2RkJDdu3FBeD9oDIYQQQgghhBCiNshD5YQQz4yOjg7NmzcHoHXr1mRkZJCQkKBxkhXuJt1ycnLw9/dXrpWWlgKgra3N2bNnGTFihMav8FtbWytf161bV/m6PPFa2bXyMQsKCoiOjiYwMLBCzHp6etWu6d5xy8cuHxfA09OTVq1asWrVKl555RW+++47tm+v/MRcQUEBAMuXL9dIdAIaidGarOfNN99k9OjRFeaws7OrUewFBQW0bt2atWvXVhjDwsKi0vhrKiUlhYiICOLi4vDx8cHIyIgFCxZw+PBhjXYP2tsHWbBgAQkJCcTHx+Pm5oahoSFjx47VKHlRmYKCAvz9/Zk/f36Fe+XJ98ro6uqiq6tb4/iEEEIIIYQQQojaIAlhIUStKS0trfDANQBnZ2dOnTqlcW3q1Kn88ccfJCQkYGtri46ODmZmZk8kDi8vL86ePaskqytTt25dSkpKHmn88PBw4uPj+fnnn+nWrRu2traVtmvQoAHW1tZ8//33BAUFPdJccHc9Z86cqXY9NRljw4YNWFpaVvtrJidOnODPP/9EX18fuFuiQ61WK2vU0dGpsG/lZR5GjhypXKvu5G1lXFxcuHPnDocPH9YoGXH27FlatGihzBMQEMC//vUv4O7327lz55T7VcXn5eXF559/jr29Pdra8s+kEEIIIYQQQoi/F/mfrhDimYiMjKRHjx7Y2dnxxx9/sG7dOtLS0jTqtJbT09OjZcuWGtdMTU0BKlx/EqZPn07v3r2xs7Pj9ddfR0tLixMnTnD69GlmzZoF3C0NkZqaSocOHdDV1aVevXo1Hn/w4MFERESwfPlyVq1aVW3b6OhoRo8ejYmJCd27d6ewsJCjR49y7do1xo0bV6P5Jk2axAsvvMCoUaMIDw/H0NCQM2fOsGfPHhYvXlyjMYKCgliwYAEBAQHExMRgY2PDjz/+yMaNG5k4cSI2NjbA3brCYWFhTJ06lZycHGbMmMGoUaPQ0rpbkcje3p7Dhw+Tk5OjlJ1wcHBg1apV7Nq1iyZNmrB69WoyMjJo0qRJjWIDcHBwICAggOHDh7Ns2TKMjIyYPHkyjRo1IiAgQGnz2WefcfDgQerVq8d7773Hr7/+qpEQriy+t99+m+XLlzNo0CAmTpyImZkZFy5cICUlhRUrVlQ4rS2EqJrUqxVCCCGEEOL5IzWEhRDPxOXLlwkODsbJyYmuXbuSkZHBrl27ePnll4G7DxHz9fWtldj8/PzYtm0bu3fvpk2bNrzwwgssXLiQxo0bK23i4uLYs2cPtra2eHp6PtT4JiYmvPbaa6jVao2H0lUmPDycFStWkJiYiJubG507dyYpKemhkqXu7u7s27ePc+fO0bFjRzw9PZk+fbpGWY0HMTAw4Ouvv8bOzo7AwEBcXFwICwvj9u3bGieGu3btioODA506dWLAgAG8+uqrREVFKfcjIiKoU6cOLVq0wMLCgtzcXN58800CAwMZMGAA7dq14+rVqxqnhWsqMTGR1q1b07t3b3x8fCgrK2PHjh1KqYmpU6fi5eWFn58fvr6+NGzYsML+VxaftbU16enplJSU8Morr+Dm5sbYsWMxNTVVEt1CCCGEEEIIIcRflaqsrKystoMQQojOnTvz0ksvaSQT/066du2Kq6srixYtqu1QnpiQkBCuX7/O5s2bazuU51JNn+4qhBBCCCGEEEI8CTX9f6iUjBBC1LobN26QnZ1d5cPW/squXbtGWloaaWlpLFmypLbDEUIIIYQQQgghxD+cJISFELXOxMSEn376qbbDeCo8PT25du0a8+fPx8nJqbbDEUIIIYQQQgghxD+cFEMUQoinKCcnhxs3bhAREfHU5rC3tyc+Pl55r1KpnkkZh6SkpArzhISEPLBO8oM8iTGEEEIIIYQQQghROUkICyHEE/D111/j7++PtbV1jRKyBw4coEOHDpibm6Ovr4+zszMLFy58IrHk5eXRo0ePJzJWVXJyclCpVGRmZj7VeZ42ST4LIYQQQgghhPinkZIRQgjxBNy8eZNWrVoRGhpKYGDgA9sbGhoyatQo3N3dMTQ05MCBA7z55psYGhryxhtvPFYsDRs2fKz+fwfFxcXUrVu3tsMQQojnjv3k569ef868XrUdghBCCCHEP4qcEBZCiCegR48ezJo1i759+9aovaenJ4MGDcLV1RV7e3v+9a9/4efnx/79+6vtd/nyZfz9/dHX16dJkyasXbu2Qpt7TyiXn+T95JNP6NixI/r6+rRp04Zz586RkZGBt7c3arWaHj16cOXKFY1xVqxYgYuLC3p6ejg7O2s8FK9JkybKOlQqFb6+vhp9Y2NjsbKywtzcnLfffpvi4mIAYmJiaNmyZYWYPTw8mDZtWqVrvr8kRnn7qKgojTUvXbqUV199FUNDQ2bPnk1JSQlhYWE0adIEfX19nJycSEhIUPpERUWRnJzMli1bUKlUqFQq0tLSALh48SL9+/fH1NQUMzMzAgICyMnJqTQ+IYQQQgghhBDir0ROCAshxHPg+PHjHDx4kFmzZlXbLiQkhEuXLrF3717q1q3L6NGjuXz58gPHnzFjBvHx8djZ2REaGsrgwYMxMjIiISEBAwMD+vfvz/Tp01m6dCkAa9euZfr06SxevBhPT0+OHz/O8OHDMTQ0ZOjQoRw5coS2bdvy1Vdf4erqio6OjjLX3r17sbKyYu/evVy4cIEBAwbg4eHB8OHDCQ0NJTo6moyMDNq0aaOs/eTJk2zcuPExdvBugnfevHnEx8ejra1NaWkpNjY2fPrpp5ibm3Pw4EHeeOMNrKys6N+/PxEREWRlZZGfn09iYiIAZmZmFBcX4+fnh4+PD/v370dbW5tZs2bRvXt3Tp48qbHWexUWFlJYWKi8z8/Pf6z1CCGEEEIIIYQQT4MkhIUQohbZ2Nhw5coV7ty5Q1RUFOHh4VW2PXfuHF9++SVHjhxRkqkff/wxLi4uD5wnIiICPz8/AMaMGcOgQYNITU2lQ4cOAISFhZGUlKS0nzFjBnFxcUr5iyZNmnDmzBmWLVvG0KFDsbCwAMDc3LxCiYp69eqxePFi6tSpg7OzM7169SI1NZXhw4djY2ODn58fiYmJyhoSExPp3LkzTZs2reGuVW7w4MEMGzZM41p0dLTydZMmTTh06BCffPIJ/fv3R61Wo6+vT2FhocYa1qxZQ2lpKStWrEClUikxmpqakpaWxiuvvFLp/HPnztWYTwghhBBCCCGEeB5JyQghhKhF+/fv5+jRo3z44YfEx8ezfv164O4JXbVarbz2799PVlYW2tratG7dWunv7OyMqanpA+dxd3dXvm7QoAEAbm5uGtfKTxrfvHmT7OxswsLCNGKYNWsW2dnZD5zL1dWVOnXqKO+trKw0TjEPHz6c9evXc/v2bYqKili3bh2hoaEPHPdBvL29K1z74IMPaN26NRYWFqjVaj766CNyc3OrHefEiRNcuHABIyMjZe1mZmbcvn272vVHRkZy48YN5XXx4sXHXpMQQgghhBBCCPGkyQlhIYSoReW1eN3c3Pj111+Jiopi0KBBvPrqq7Rr105p16hRI3bv3v3I89z7gLXyU6/3XystLQWgoKAAgOXLl2vEAGgkemsy1/1jA/j7+6Orq8umTZvQ0dGhuLiY119/vcrxtLS0KCsr07hWXpP4XoaGhhrvU1JSiIiIIC4uDh8fH4yMjFiwYAGHDx+uNv6CggJat25daX3m8pPRldHV1UVXV7fasYUQQgghhBBCiNomCWEhhHhOlJaWKjVojYyMMDIy0rjv7OzMnTt3OHbsmFJu4ezZs1y/fv2JxtGgQQOsra35/vvvCQoKqrRNeR3dkpKShx5fW1uboUOHkpiYiI6ODgMHDkRfX7/K9hYWFuTl5Snv8/Pz+eGHHx44T3p6Ou3bt2fkyJHKtftP+Oro6FRYg5eXFxs2bMDS0hJjY+OaLksIIYQQQgghhPhLkISwEEI8AQUFBVy4cEF5/8MPP5CZmYmZmRl2dnYV2n/wwQfY2dnh7OwMwNdff01sbCyjR4+ucg4nJye6d+/Om2++ydKlS9HW1mbs2LHVJlMfVXR0NKNHj8bExITu3btTWFjI0aNHuXbtGuPGjcPS0hJ9fX127tyJjY0Nenp6mJiY1Hj88PBwpfZxenp6tW27dOlCUlIS/v7+mJqaMn369BqdVHZwcGDVqlXs2rWLJk2asHr1ajIyMpRT2QD29vbs2rWLs2fPYm5ujomJCUFBQSxYsICAgABiYmKwsbHhxx9/ZOPGjUycOBEbG5sar1MIIZ43OfN61XYIQgghhBCilkkNYSGEeAKOHj2Kp6cnnp6eAIwbNw5PT0+mT58OQFRUFPb29kr70tJSIiMj8fDwwNvbmw8++ID58+cTExNT7TyJiYlYW1vTuXNnAgMDeeONN7C0tHzi6wkPD2fFihUkJibi5uZG586dSUpKUpKp2traLFq0iGXLlmFtbU1AQMBDje/g4ED79u1xdnauUJbifpGRkXTu3JnevXvTq1cv+vTpQ7NmzR44x5tvvklgYCADBgygXbt2XL16VeO0MNytZ+zk5IS3tzcWFhakp6djYGDA119/jZ2dHYGBgbi4uBAWFsbt27flxLAQQgghhBBCiL88Vdn9hRmFEEI8cUOHDkWlUpGUlFTboTwXysrKcHBwYOTIkYwbN662w3kq8vPzMTEx4caNG5JIFkIIIYQQQgjx1NX0/6FSMkIIIZ6ysrIy0tLSOHDgQG2H8ly4cuUKKSkp/PLLLwwbNqy2wxFCCCGEEEIIIf5RJCEshBBPmUql4scff6ztMJ4blpaW1K9fn48++oh69erVdjhCCCGEEEIIIcQ/itQQFkKIJ8TX15exY8cq7+3t7YmPj1feq1QqNm/e/MTnfVLj/u9//+OFF15AT08PDw+Pxx6vKmVlZWRkZBAUFERmZiYAaWlpqFQqrl+//tTmrU5OTg4qlUqJpzK1HaMQQgghhBBCCPEkyAlhIYR4SjIyMjA0NKztMGpsxowZGBoacvbsWdRq9TOdu3379uTl5WFiYvJM5y1na2tLXl4e9evXr5X5hRBCCCGEEEKIZ0USwkII8ZRYWFjUdggAFBcXU7du3Qe2y87OplevXjRu3PiR5yoqKkJHR+eh++no6NCwYcNHnvdx1alTp1bnF0I8HvvJ22s7hL+MnHm9ajsEIYQQQghRy6RkhBBCPIKbN28SHByMWq3GysqKuLi4Cm3uLxkB8Ntvv9G3b18MDAxwcHBg69atwN0yCs2bNyc2NlajfWZmJiqVigsXLgBw/vx5OnXqhJ6eHi1atGDPnj0a7ctLH2zYsIHOnTujp6fH2rVrKS0tJSYmBhsbG3R1dfHw8GDnzp1KP5VKxbFjx4iJiUGlUhEVFQXAxYsX6d+/P6amppiZmREQEEBOTo7SLyQkhD59+jB79mysra1xcnJSxru/jIWpqSlJSUmV7mdl5RjS09Px9fXFwMCAevXq4efnx7Vr1yrtf/XqVQYNGkSjRo0wMDDAzc2N9evXa7QpLS3l3XffpXnz5ujq6mJnZ8fs2bM19u3ekhE7duzA0dERfX19XnrpJY11CyGEEEIIIYQQf1WSEBZCiEcwYcIE9u3bx5YtW9i9ezdpaWl8++23D+wXHR1N//79OXnyJD179iQoKIjff/8dlUpFaGgoiYmJGu0TExPp1KkTzZs3p7S0lMDAQHR0dDh8+DAffvghkyZNqnSeyZMnM2bMGLKysvDz8yMhIYG4uDhiY2M5efIkfn5+vPrqq5w/fx6AvLw8XF1dGT9+PHl5eURERFBcXIyfnx9GRkbs37+f9PR01Go13bt3p6ioSJkrNTWVs2fPsmfPHrZt2/YYu/r/ZWZm0rVrV1q0aMGhQ4c4cOAA/v7+lJSUVNr+9u3btG7dmu3bt3P69GneeOMNhgwZwpEjR5Q2kZGRzJs3j2nTpnHmzBnWrVtHgwYNKh3v4sWLBAYG4u/vT2ZmJuHh4UyePLnamAsLC8nPz9d4CSGEEEIIIYQQzxspGSGEEA+poKCAjz/+mDVr1tC1a1cAkpOTsbGxeWDfkJAQBg0aBMCcOXNYtGgRR44coXv37oSEhDB9+nSOHDlC27ZtKS4uZt26dcqp4a+++or//e9/7Nq1C2tra2WMHj16VJhn7NixBAYGKu9jY2OZNGkSAwcOBGD+/Pns3buX+Ph4PvjgAxo2bIi2tjZqtVopnbBmzRpKS0tZsWIFKpUKuJugNjU1JS0tjVdeeQUAQ0NDVqxY8UilIqry7rvv4u3tzZIlS5Rrrq6uVbZv1KgRERERyvt///vf7Nq1i08++YS2bdvyxx9/kJCQwOLFixk6dCgAzZo148UXX6x0vKVLl9KsWTPl5LeTkxOnTp1i/vz5VcYwd+5coqOjH2qdQgghhBBCCCHEsyYnhIUQ4iFlZ2dTVFREu3btlGtmZmZKuYTquLu7K18bGhpibGzM5cuXAbC2tqZXr16sXLkSgC+++ILCwkL69esHQFZWFra2tkoyGMDHx6fSeby9vZWv8/PzuXTpEh06dNBo06FDB7KysqqM9cSJE1y4cAEjIyPUajVqtRozMzNu375Ndna20s7Nze2JJoPh/58QrqmSkhJmzpyJm5sbZmZmqNVqdu3aRW5uLnB37woLC2s8ZlZWlsbnC1XvdbnIyEhu3LihvC5evFjj+IUQQgghhBBCiGdFTggLIcQzdP/D3VQqFaWlpcr78PBwhgwZwsKFC0lMTGTAgAEYGBg89DyGhoaPHWtBQQGtW7dm7dq1Fe7d+8C8yuZSqVSUlZVpXCsuLq7x3Pr6+g8RKSxYsICEhATi4+Nxc3PD0NCQsWPHKqUtHna8R6Grq4uuru5Tn0cIIYQQQgghhHgcckJYCCEeUrNmzahbty6HDx9Wrl27do1z58499tg9e/bE0NCQpUuXsnPnTkJDQ5V7Li4uXLx4kby8POXaN99888AxjY2Nsba2Jj09XeN6eno6LVq0qLKfl5cX58+fx9LSkubNm2u8TExMqp3TwsJCI87z589z69atB8Zazt3dndTU1Bq3T09PJyAggH/961+0atWKpk2banweDg4O6Ovr13hMFxcXjfrDULO9FkIIIYQQQgghnndyQlgIIR6SWq0mLCyMCRMmYG5ujqWlJVOmTEFL6/F/xlanTh1CQkKIjIzEwcFBo0xBt27dcHR0ZOjQoSxYsID8/HymTJlSo3EnTJjAjBkzaNasGR4eHiQmJpKZmVnp6d9yQUFBLFiwgICAAGJiYrCxseHHH39k48aNTJw4sdqayV26dGHx4sX4+PhQUlLCpEmTKpyOrk5kZCRubm6MHDmSESNGoKOjw969e+nXrx/169ev0N7BwYHPPvuMgwcPUq9ePd577z1+/fVXJeGtp6fHpEmTmDhxIjo6OnTo0IErV67w3XffERYWVmG8ESNGEBcXx4QJEwgPD+fYsWMkJSXVOH4hxLOVM69XbYcghBBCCCHEX4acEBZCiEewYMECOnbsiL+/P926dePFF1+kdevWT2TssLAwioqKGDZsmMZ1LS0tNm3axJ9//knbtm0JDw9n9uzZNRpz9OjRjBs3jvHjx+Pm5sbOnTvZunUrDg4OVfYxMDDg66+/xs7OjsDAQFxcXAgLC+P27dsYGxtXO19cXBy2trZ07NiRwYMHExER8VClLxwdHdm9ezcnTpygbdu2+Pj4sGXLFrS1K/855tSpU/Hy8sLPzw9fX18aNmxInz59NNpMmzaN8ePHM336dFxcXBgwYIBSv/l+dnZ2fP7552zevJlWrVrx4YcfMmfOnBrHL4QQQgghhBBCPK9UZfcXeRRCCFGr9u/fT9euXbl48SINGjSo7XDEI8rPz8fExIQbN248MIEuhBBCCCGEEEI8rpr+P1RKRgghxHOisLCQK1euEBUVRb9+/SQZLIQQQgghhBBCiCdOSkYIIcRzYv369TRu3Jjr16/z7rvv1nY4QgghhBBCCCGE+BuShLAQQjwnQkJCKCkp4dixYzRq1OiZzRsVFYWHh4dGHPfX332Y/s+jh12TEEIIIYQQQgjxdyUJYSGE+Au5cuUKb731FnZ2dujq6tKwYUP8/PxIT0+v7dCeiUdN7CYkJJCUlPTE4xFCCCGEEEIIIf5qpIawEEL8hbz22msUFRWRnJxM06ZN+fXXX0lNTeXq1au1HdpzzcTEpLZDEEL8DdlP3l7bITy0nHm9ajsEIYQQQghRy+SEsBBC/EVcv36d/fv3M3/+fF566SUaN25M27ZtiYyM5NVXX62y36RJk3B0dMTAwICmTZsybdo0iouLazTnqlWrMDc3p7CwUON6nz59GDJkSJX9Vq5ciaurK7q6ulhZWTFq1CgAQkND6d27t0bb4uJiLC0t+fjjjwH47LPPcHNzQ19fH3Nzc7p168bNmzeJiooiOTmZLVu2oFKpUKlUpKWlAXDx4kX69++PqakpZmZmBAQEkJOTo8xx/8liX19fRo8ezcSJEzEzM6Nhw4ZERUVpxHX9+nXCw8OxsLDA2NiYLl26cOLEiRrtmxBCCCGEEEII8byShLAQQvxFqNVq1Go1mzdvrpCgrY6RkRFJSUmcOXOGhIQEli9fzsKFC2vUt1+/fpSUlLB161bl2uXLl9m+fTuhoaGV9lm6dClvv/02b7zxBqdOnWLr1q00b94cgPDwcHbu3EleXp7Sftu2bdy6dYsBAwaQl5fHoEGDCA0NJSsri7S0NAIDAykrKyMiIoL+/fvTvXt38vLyyMvLo3379hQXF+Pn54eRkRH79+8nPT0dtVpN9+7dKSoqqnJtycnJGBoacvjwYd59911iYmLYs2ePxtovX77Ml19+ybFjx/Dy8qJr1678/vvvlY5XWFhIfn6+xksIIYQQQgghhHjeSEJYCCH+IrS1tUlKSiI5ORlTU1M6dOjAf/7zH06ePFltv6lTp9K+fXvs7e3x9/cnIiKCTz75pEZz6uvrM3jwYBITE5Vra9aswc7ODl9f30r7zJo1i/HjxzNmzBgcHR1p06YNY8eOBaB9+/Y4OTmxevVqpX1iYiL9+vVDrVaTl5fHnTt3CAwMxN7eHjc3N0aOHKkkw/X19ZXayQ0bNkRHR4cNGzZQWlrKihUrcHNzw8XFhcTERHJzc5UTxJVxd3dnxowZODg4EBwcjLe3N6mpqQAcOHCAI0eO8Omnn+Lt7Y2DgwOxsbGYmpry2WefVTre3LlzMTExUV62trY12mMhhBBCCCGEEOJZkoSwEEL8hbz22mtcunSJrVu30r17d9LS0vDy8iIpKYkRI0YoiVO1Wq302bBhAx06dKBhw4ao1WqmTp1Kbm5ujeccPnw4u3fv5ueffwYgKSmJkJAQVCpVhbaXL1/m0qVLdO3atcrxwsPDlQTzr7/+ypdffqmcNm7VqhVdu3bFzc2Nfv36sXz5cq5du1ZtfCdOnODChQsYGRkpazczM+P27dtkZ2dX2c/d3V3jvZWVFZcvX1bGLCgowNzcXGNPf/jhhyrHjIyM5MaNG8rr4sWL1cYthBBCCCGEEELUBnmonBBC/MXo6enx8ssv8/LLLzNt2jTCw8OZMWMGGRkZREREaLQ9dOgQQUFBREdH4+fnh4mJCSkpKcTFxdV4Pk9PT1q1asWqVat45ZVX+O6779i+vfIHKenr6z9wvODgYCZPnsyhQ4c4ePAgTZo0oWPHjgDUqVOHPXv2cPDgQXbv3s3777/PlClTOHz4ME2aNKl0vIKCAlq3bs3atWsr3LOwsKgyjrp162q8V6lUlJaWKmNaWVlVesLY1NS00vF0dXXR1dWtcj4hhBBCCCGEEOJ5IAlhIYT4i2vRogWbN2/G0tISS0tLjXsHDx6kcePGTJkyRbn2448/PvQc4eHhxMfH8/PPP9OtW7cqyyEYGRlhb29PamoqL730UqVtzM3N6dOnD4mJiRw6dIhhw4Zp3FepVHTo0IEOHTowffp0GjduzKZNmxg3bhw6OjqUlJRotPfy8mLDhg1YWlpibGz80GurjJeXF7/88gva2trY29s/kTGFEH8/OfN61XYIQgghhBBCPDQpGSGEEH8RV69epUuXLqxZs4aTJ0/yww8/8Omnn/Luu+8SEBBQaR8HBwdyc3NJSUkhOzubRYsWsWnTpoeee/Dgwfz0008sX768yofJlYuKiiIuLo5FixZx/vx5vv32W95//32NNuHh4SQnJ5OVlcXQoUOV64cPH2bOnDkcPXqU3NxcNm7cyJUrV3BxcQHA3t6ekydPcvbsWX777TeKi4sJCgqifv36BAQEsH//fn744QfS0tIYPXo0P/3000OvFaBbt274+PjQp08fdu/eTU5ODgcPHmTKlCkcPXr0kcYUQgghhBBCCCGeB5IQFkKIvwi1Wk27du1YuHAhnTp1omXLlkybNo3hw4ezePHiSvu8+uqrvPPOO4waNQoPDw8OHjzItGnTHnpuExMTXnvtNdRqNX369Km27dChQ4mPj2fJkiW4urrSu3dvzp8/r9GmW7duWFlZ4efnh7W1tXLd2NiYr7/+mp49e+Lo6MjUqVOJi4ujR48ewN16xk5OTnh7e2NhYUF6ejoGBgZ8/fXX2NnZERgYiIuLC2FhYdy+ffuRTwyrVCp27NhBp06dGDZsGI6OjgwcOJAff/yRBg0aPNKYQgghhBBCCCHE80BVVlZWVttBCCGEeP517doVV1dXFi1a9NhjFRQU0KhRIxITEwkMDHwC0T1/8vPzMTEx4caNG0+slIUQQgghhBBCCFGVmv4/VGoICyGEqNa1a9dIS0sjLS2NJUuWPNZYpaWl/Pbbb8TFxWFqasqrr776hKIUQgghhBBCCCFETUjJCCGEENXy9PQkJCSE+fPn4+Tk9Fhj5ebm0qBBA9atW8fKlSvR1q7ZzyVVKhWbN2+u8TxRUVF4eHgo70NCQjRKXfj6+jJ27Fjlvb29PfHx8TUeXwghhBBCCCGE+KuSE8JCCPE3ExISQnJyMnPnzmXy5MnK9c2bN9O3b18etlJQTk7OE41tzJgxtZ583bhxI3Xr1lXeZ2RkYGhoWIsRCSGEEEIIIYQQz4YkhIUQ4m9IT0+P+fPn8+abb1KvXr3aDue5Y2ZmpvHewsKiliIRQohny37y9toO4S8lZ16v2g5BCCGEEOKJk5IRQgjxN9StWzcaNmzI3Llza9wnOzubgIAAGjRogFqtpk2bNnz11VcabQoLC5k0aRK2trbo6urSvHlzPv74Y+X+6dOn6dGjB2q1mgYNGjBkyBB+++034O7p4H379pGQkIBKpUKlUvHDDz/QvHlzYmNjNebJzMxEpVJx4cKFSmOdNGkSjo6OGBgY0LRpU6ZNm0ZxcXGN1/qgkhEqlYoVK1bQt29fDAwMcHBwYOvWrTUeXwghhBBCCCGEeF5JQlgIIf6G6tSpw5w5c3j//ff56aefatSnoKCAnj17kpqayvHjx+nevTv+/v7k5uYqbYKDg1m/fj2LFi0iKyuLZcuWoVarAbh+/TpdunTB09OTo0ePsnPnTn799Vf69+8PQEJCAj4+PgwfPpy8vDzy8vKws7MjNDSUxMREjVgSExPp1KkTzZs3rzRWIyMjkpKSOHPmDAkJCSxfvpyFCxc+ylZVKTo6mv79+3Py5El69uxJUFAQv//++xOdQwghhBBCCCGEeNYkISyEEH9Tffv2xcPDgxkzZtSofatWrXjzzTdp2bIlDg4OzJw5k2bNmiknY8+dO8cnn3zCypUr6du3L02bNqVr164MGDAAgMWLF+Pp6cmcOXNwdnbG09OTlStXsnfvXs6dO4eJiQk6OjoYGBjQsGFDGjZsSJ06dQgJCeHs2bMcOXIEgOLiYtatW0doaGiVsU6dOpX27dtjb2+Pv78/ERERfPLJJ4+5Y5pCQkIYNGgQzZs3Z86cORQUFCgxVqawsJD8/HyNlxBCCCGEEEII8byRhLAQQvyNzZ8/n+TkZLKysjSuq9Vq5TVixAjg7gnhiIgIXFxcMDU1Ra1Wk5WVpZwQzszMpE6dOnTu3LnSuU6cOMHevXs1xnZ2dgbulqOoirW1Nb169WLlypUAfPHFFxQWFtKvX78q+2zYsIEOHTrQsGFD1Go1U6dO1TjJ/CS4u7srXxsaGmJsbMzly5erbD937lxMTEyUl62t7RONRwghhBBCCCGEeBLkoXJCCPE31qlTJ/z8/IiMjCQkJES5npmZqXxtbGwMQEREBHv27CE2NpbmzZujr6/P66+/TlFREQD6+vrVzlVQUIC/vz/z58+vcM/KyqravuHh4QwZMoSFCxeSmJjIgAEDMDAwqLTtoUOHCAoKIjo6Gj8/P0xMTEhJSSEuLq7aOR5W3bp1Nd6rVCpKS0urbB8ZGcm4ceOU9/n5+ZIUFkIIIYQQQgjx3JGEsBBC/M3NmzcPDw8PnJyclGuV1eZNT08nJCSEvn37AncTvDk5Ocp9Nzc3SktL2bdvH926davQ38vLi88//xx7e3u0tSv/50VHR4eSkpIK13v27ImhoSFLly5l586dfP3111Wu5+DBgzRu3JgpU6Yo13788ccq2z8rurq66Orq1nYYQgghhBBCCCFEtSQhLIQQf3Nubm4EBQWxaNGiats5ODiwceNG/P39UalUTJs2TeNErL29PUOHDv1/7N15dE73+v//552QyBzRkCARQ0IQxNA2tBVTY0qFtqYUMbWKVhDTaZGYZ6IONbQJSmlNp0VpOaIaaqoolWpp0zjfk5ZqJcIRkdy/P3zsn1sGUTSG12OtvVb23u/heu/7Xqxc3q5Nnz59mD9/PnXr1uWXX37h7NmzdO7cmUGDBrF06VK6devGyJEjcXNz49SpU6xZs4Zly5ZhbW2Nj48P+/fvJyUlBUdHR9zc3LCysjJqCY8ZMwZfX1+CgoIKjTM1NZU1a9bQqFEjtmzZwsaNG+/Z8xIReZSlTGtX3CGIiIiISDFTDWERkcfAhAkTCi13ADBnzhxKly5N48aNCQ0NJSQkhPr161u0WbRoES+99BIDBw6kRo0a9O/fn0uXLgHXawEnJiaSk5PD888/T0BAAJGRkbi6umJldf2vm6ioKKytralZsybu7u4WdX/79u3L1atX6d27d6FxvvDCCwwdOpTBgwdTr1499u7dy9ixY//KYxERERERERF57JjMZrO5uIMQERHZs2cPLVq04MyZM5QrV664w7lrGRkZuLi4kJ6ebtRpFhEREREREblfivp7qEpGiIhIscrKyuLcuXNER0fz8ssvPxLJYBEREREREZEHlUpGiIhIsfrwww+pVKkSFy5cYMaMGcUdjoiIiIiIiMgjTQlhEZG/2ZIlS/Dy8sLKyop58+YVeO12TCYTmzZtum9x3o6Pj89tYy1KjBEREeTk5HD48GEqVKhwVzH8+uuvtGrVCgcHB1xdXe9oLBEREREREZHHgUpGiIj8jTIyMhg8eDBz5szhxRdfxMXFJd9rRZGWlkbp0qXvc8QFO3jwIA4ODsU2f37mzp1LWloaSUlJRX6O8fHxREZGcuHChfsbnIiIiIiIiMgDQAlhEZG/UWpqKtnZ2bRr1w5PT08Ajh8/nudaUXh4eNyvMIvE3d29WOfPz+nTp2nQoAG+vr7FHYqIyAPJZ/SWfK+nTGv3N0ciIiIiIsVFJSNERO5Abm4uM2bMoFq1atja2uLt7c3kyZON+6NGjcLPzw97e3uqVKnC2LFjyc7OBq7vRA0ICACgSpUqmEymfK+lpKQA8K9//Yv69etTqlQpqlSpQkxMDNeuXTPmurUcw3/+8x+6deuGm5sbDg4ONGzYkP379xe4lsJiveHTTz+lUaNGlCpViieeeIKOHTsa924t1/Djjz/y3HPPUapUKWrWrMkXX3xx2+e5bt06AgICsLOzo0yZMrRs2ZJLly4BEBwcTGRkpEX7sLAwIiIi8h3Lx8eH9evXs2LFCkwmk9Fuzpw5BAQE4ODggJeXFwMHDiQzMxOAhIQEevfuTXp6OiaTCZPJRHR0NHD9ZXdRUVFUqFABBwcHnnrqKRISEm67JhEREREREZEHmXYIi4jcgTFjxrB06VLmzp3LM888Q1paGt9//71x38nJifj4eMqXL8+xY8fo378/Tk5OjBw5ki5duuDl5UXLli05cOAAXl5eODk55bnm7u7Onj176NmzJ/Pnz+fZZ5/l9OnTvPrqqwCMHz8+T1yZmZk0bdqUChUq8Mknn+Dh4cE333xDbm5ugWspLFaALVu20LFjR9566y1WrFjB1atX2bp1a75j5ebm0qlTJ8qVK8f+/ftJT0/Pk8y9VVpaGt26dWPGjBl07NiRixcvsmfPHsxm8+0+hnwdPHiQnj174uzsTGxsLHZ2dgBYWVkxf/58KleuzE8//cTAgQMZOXIkCxcupHHjxsybN49x48Zx8uRJABwdHQEYPHgwJ06cYM2aNZQvX56NGzfSunVrjh07ph3IIiIiIiIi8tBSQlhEpIguXrxIbGwsCxYsoFevXgBUrVqVZ555xmjz9ttvGz/7+PgQFRXFmjVrGDlypLELFq6XW7hR8iG/azExMYwePdqYp0qVKkycOJGRI0fmmxBevXo1586d4+DBg7i5uQFQrVq1QtdTWKwAkydPpmvXrsTExBjt6tatm+9YO3bs4Pvvv2f79u2UL18egClTptCmTZsC509LS+PatWt06tSJSpUqARi7pf8Kd3d3bG1tsbOzsyincXNi2sfHh0mTJjFgwAAWLlyIjY0NLi4umEwmiz6pqanExcWRmppqrCcqKopt27YRFxfHlClT8syflZVFVlaWcZ6RkfGX1yIiIiIiIiJyvyghLCJSRMnJyWRlZdGiRYsC26xdu5b58+dz+vRpMjMzuXbtGs7Oznc819GjR0lMTLQoR5GTk8OVK1e4fPky9vb2Fu2TkpIIDAw0ksFFcbtYk5KS6N+/f5HGSk5OxsvLy0ieAgQFBRXap27durRo0YKAgABCQkJ4/vnneemll+75i/J27NjB1KlT+f7778nIyODatWsFPscbjh07Rk5ODn5+fhbXs7KyjAT+raZOnWqRPBcRERERERF5EKmGsIhIEd0oQVCQffv2ER4eTtu2bdm8eTNHjhzhrbfe4urVq3c8V2ZmJjExMSQlJRnHsWPH+PHHHylVqtQdx/ZXYr3TMe+UtbU1X3zxBZ999hk1a9bknXfeoXr16vz888/A9VIPt5aPuLXG8e2kpKTQvn176tSpw/r16zl8+DD//Oc/AQr9XDIzM7G2tubw4cMWn0FycjKxsbH59hkzZgzp6enGcebMmTuKVUREREREROTvoB3CIiJF5Ovri52dHTt37qRfv3557u/du5dKlSrx1ltvGdd++eWXvzRX/fr1OXny5G3LPtxQp04dli1bxh9//FGkXcJFibVOnTrs3LmT3r1733Y8f39/zpw5Q1paGp6engB8/fXXt+1nMplo0qQJTZo0Ydy4cVSqVImNGzcybNgw3N3dSUtLM9rm5ORw/PhxmjVrdttxbzh8+DC5ubnMnj0bK6vr/wb60UcfWbSxsbEhJyfH4lpgYCA5OTmcPXuWZ599tkhz2draYmtrW+TYRERERERERIqDEsIiIkVUqlQpRo0axciRI7GxsaFJkyacO3eO7777jr59++Lr60tqaipr1qyhUaNGbNmyhY0bN/6lucaNG0f79u3x9vbmpZdewsrKiqNHj3L8+HEmTZqUp323bt2YMmUKYWFhTJ06FU9PT44cOUL58uXzLd1QlFjHjx9PixYtqFq1Kl27duXatWts3bqVUaNG5RmvZcuW+Pn50atXL2bOnElGRoZFsjk/+/fvZ+fOnTz//POULVuW/fv3c+7cOfz9/QFo3rw5w4YNY8uWLVStWpU5c+Zw4cKFO3iK1+soZ2dn88477xAaGkpiYiLvvvuuRRsfHx8yMzPZuXMndevWxd7eHj8/P8LDw+nZsyezZ88mMDCQc+fOsXPnTurUqUO7du3uKA4RkQdFyjT9+SUiIiLyuFPJCBGROzB27FiGDx/OuHHj8Pf3p0uXLpw9exaAF154gaFDhzJ48GDq1avH3r17GTt27F+aJyQkhM2bN/P555/TqFEjnn76aebOnWu8fO1WNjY2fP7555QtW5a2bdsSEBDAtGnTsLa2zrd9UWINDg7m448/5pNPPqFevXo0b96cAwcO5DuelZUVGzdu5H//+x9PPvkk/fr1s6h/nB9nZ2e+/PJL2rZti5+fH2+//TazZ882XkTXp08fevXqRc+ePWnatClVqlS5o93BcL1O8Zw5c5g+fTq1a9dm1apVTJ061aJN48aNGTBgAF26dMHd3Z0ZM2YAEBcXR8+ePRk+fDjVq1cnLCyMgwcP4u3tfUcxiIiIiIiIiDxITOZbCzSKiIjIXcvIyMDFxYX09PS/9GJBERERERERkTtR1N9DtUNYRERERERERERE5DGhhLCIiIiIiIiIiIjIY0IJYREReeSkpKRgMplISkoCICEhAZPJZLyULj4+HldXV6N9dHQ09erV+9vjFBEREREREfm7KSEsIiKPnS5duvDDDz8Y51FRUezcubMYIxIRERERERH5e5Qo7gBERET+bnZ2dtjZ2Rnnjo6OODo6FmNEIiJ/D5/RW+64T8q0dvchEhEREREpLtohLCIiD6Vt27bxzDPP4OrqSpkyZWjfvj2nT58uUt/blYyIiIggLCyMWbNm4enpSZkyZRg0aBDZ2dn3eBUiIiIiIiIify8lhEVE5KF06dIlhg0bxqFDh9i5cydWVlZ07NiR3NzcezL+rl27OH36NLt27WL58uXEx8cTHx9/T8YWERERERERKS4qGSEiIg+lF1980eL8/fffx93dnRMnTtyT8g+lS5dmwYIFWFtbU6NGDdq1a8fOnTvp379/vu2zsrLIysoyzjMyMu46BhEREREREZF7TTuERUTkofTjjz/SrVs3qlSpgrOzMz4+PgCkpqbek/Fr1aqFtbW1ce7p6cnZs2cLbD916lRcXFyMw8vL657EISIiIiIiInIvKSEsIiIPpdDQUP744w+WLl3K/v372b9/PwBXr169J+OXLFnS4txkMhVajmLMmDGkp6cbx5kzZ+5JHCIiIiIiIiL3kkpGiIjIQ+f8+fOcPHmSpUuX8uyzzwLw1VdfFWtMtra22NraFmsMIiIiIiIiIrejhLCIiDx0SpcuTZkyZViyZAmenp6kpqYyevTo4g5LROSBlzKtXXGHICIiIiLFTCUjRETkoWNlZcWaNWs4fPgwtWvXZujQocycObO4wxIRERERERF54JnMZrO5uIMQERF51GRkZODi4kJ6ejrOzs7FHY6IiIiIiIg84or6e6h2CIuIiIiIiIiIiIg8JpQQFhEREREREREREXlMKCEsIlKAhIQETCYTFy5cuGdjxsfH4+rqes/GK6r7sZbbiYiIICws7L6NHx0dTb169fJcK1euHCaTiU2bNt23uUVEREREREQeVkoIi8gjZ9q0aZhMJiIjI+9qnMaNG5OWloaLi8u9CawYPUprKUhycjIxMTEsXryYtLQ02rRpU6R+Sh6LiIiIiIjI46REcQcgInIvHTx4kMWLF1OnTp27HsvGxgYPD497EFXxe5TWUpDTp08D0KFDB0wmUzFHIyLy1/mM3nLfxk6Z1u6+jS0iIiIiDwftEBaRR0ZmZibh4eEsXbqU0qVLF9r2hx9+wGQy8f3331tcnzt3LlWrVgXyllm4Ue5h+/bt+Pv74+joSOvWrUlLSwPgyy+/pGTJkvz6668WY0ZGRvLss88WGMukSZMoW7YsTk5O9OvXj9GjR1uUQggODs6z2zksLIyIiAjjfOXKlTRs2BAnJyc8PDzo3r07Z8+eNe7fupbz58/TrVs3KlSogL29PQEBAXz44YcWc+Tm5jJjxgyqVauGra0t3t7eTJ482bh/7Ngxmjdvjp2dHWXKlOHVV18lMzOzwHXe6pdffiE0NJTSpUvj4OBArVq12Lp1K5B/aY1NmzYVmOiNjo4mNDQUACsrK6PdwYMHadWqFU888QQuLi40bdqUb775xujn4+MDQMeOHTGZTMY5wL/+9S/q169PqVKlqFKlCjExMVy7dq3I6xMRERERERF5ECkhLCKPjEGDBtGuXTtatmx527Z+fn40bNiQVatWWVxftWoV3bt3L7Df5cuXmTVrFitXruTLL78kNTWVqKgoAJ577jmqVKnCypUrjfbZ2dmsWrWKPn365DveqlWrmDx5MtOnT+fw4cN4e3uzaNGioizXQnZ2NhMnTuTo0aNs2rSJlJQUi4Txra5cuUKDBg3YsmULx48f59VXX6VHjx4cOHDAaDNmzBimTZvG2LFjOXHiBKtXr6ZcuXIAXLp0iZCQEEqXLs3Bgwf5+OOP2bFjB4MHDy5yzIMGDSIrK4svv/ySY8eOMX36dBwdHe947QBRUVHExcUBkJaWZiTpL168SK9evfjqq6/4+uuv8fX1pW3btly8eBG4njAGiIuLIy0tzTjfs2cPPXv2ZMiQIZw4cYLFixcTHx9vkRC/VVZWFhkZGRaHiIiIiIiIyINGJSNE5JGwZs0avvnmGyOhVxTh4eEsWLCAiRMnAtd3DR8+fJgPPvigwD7Z2dm8++67xi7iwYMHM2HCBON+3759iYuLY8SIEQB8+umnXLlyhc6dO+c73jvvvEPfvn3p3bs3AOPGjePzzz+/o522gEXCuUqVKsyfP59GjRqRmZmZb5K1QoUKRiIb4I033mD79u189NFHPPnkk1y8eJHY2FgWLFhAr169AKhatSrPPPMMAKtXr+bKlSusWLECBwcHABYsWEBoaCjTp083EseFSU1N5cUXXyQgIMCI+69ydHQ0dhTfXBqjefPmFu2WLFmCq6sru3fvpn379ri7uwPg6upq0S8mJobRo0cba69SpQoTJ05k5MiRjB8/Pt8Ypk6dSkxMzF9eg4iIiIiIiMjfQTuEReShd+bMGYYMGcKqVasoVapUvm0GDBiAo6OjcQB07dqVlJQUvv76a+D6bt369etTo0aNAueyt7c3ksEAnp6eFqUZIiIiOHXqlDFmfHw8nTt3NpKmtzp58iRPPvmkxbVbz4vi8OHDhIaG4u3tjZOTE02bNgWuJ13zk5OTw8SJEwkICMDNzQ1HR0e2b99utE9OTiYrK4sWLVrk2z85OZm6detarKtJkybk5uZy8uTJIsX85ptvMmnSJJo0acL48eP59ttv72TJRfLbb7/Rv39/fH19cXFxwdnZmczMzAKfyw1Hjx5lwoQJFt+Z/v37k5aWxuXLl/PtM2bMGNLT043jzJkz93w9IiIiIiIiIndLCWEReegdPnyYs2fPUr9+fUqUKEGJEiXYvXs38+fPp0SJEuTk5DBhwgSSkpKMA67vJG3evDmrV68Gru96DQ8PL3SukiVLWpybTCbMZrNxXrZsWUJDQ4mLi+O3337js88+K7BcRFFZWVlZzAHXdyrfcKN8g7OzM6tWreLgwYNs3LgRgKtXr+Y75syZM4mNjWXUqFHs2rWLpKQkQkJCjPZ2dnZ3FXNR9OvXj59++okePXpw7NgxGjZsyDvvvAPcfs1F1atXL5KSkoiNjWXv3r0kJSVRpkyZAp/LDZmZmcTExFh8Z44dO8aPP/5Y4D862Nra4uzsbHGIiIiIiIiIPGiUEBaRh16LFi04duyYRfKuYcOGhIeHk5SUhLW1NWXLlqVatWrGcUN4eDhr165l3759/PTTT3Tt2vWu4+nXrx9r165lyZIlVK1alSZNmhTYtnr16nnKXNx67u7ubtTEheu7e48fP26cf//995w/f55p06bx7LPPUqNGDYtdy/lJTEykQ4cOvPLKK9StW5cqVarwww8/GPd9fX2xs7Nj586d+fb39/fn6NGjXLp0yWJMKysrqlevXujcN/Py8mLAgAFs2LCB4cOHs3TpUmPNFy9etBj/RiL/TiQmJvLmm2/Stm1batWqha2tLb///rtFm5IlS5KTk2NxrX79+pw8edLiO3PjsLLSX50iIiIiIiLy8FINYRF56Dk5OVG7dm2Law4ODpQpUybP9Vt16tSJ119/nddff51mzZpRvnz5u47nxm7dSZMmWdQXzs8bb7xB//79adiwIY0bN2bt2rV8++23FvV0mzdvzrBhw9iyZQtVq1Zlzpw5XLhwwbjv7e2NjY0N77zzDgMGDOD48eNGXeSC+Pr6sm7dOvbu3Uvp0qWZM2cOv/32GzVr1gSgVKlSjBo1ipEjR2JjY0OTJk04d+4c3333HX379iU8PJzx48fTq1cvoqOjOXfuHG+88QY9evQoUv1ggMjISNq0aYOfnx9//vknu3btwt/fH4CnnnoKe3t7/vGPf/Dmm2+yf/9+4uPjizTuretcuXIlDRs2JCMjgxEjRuTZ/ezj48POnTtp0qQJtra2lC5dmnHjxtG+fXu8vb156aWXsLKy4ujRoxw/fpxJkybdcRwiInciZVq74g5BRERERB5h2uYkIo81JycnQkNDOXr06G3LRRSVlZUVERER5OTk0LNnz0LbhoeHM2bMGKKioqhfvz4///wzERERFmUJ+vTpQ69evejZsydNmzalSpUqNGvWzLjv7u5OfHw8H3/8MTVr1mTatGnMmjWr0Hnffvtt6tevT0hICMHBwXh4eBAWFmbRZuzYsQwfPpxx48bh7+9Ply5djJ3H9vb2bN++nT/++INGjRrx0ksv0aJFCxYsWFDk55STk8OgQYPw9/endevW+Pn5sXDhQgDc3Nz44IMP2Lp1KwEBAXz44YdER0cXeewb3nvvPf7880/q169Pjx49ePPNNylbtqxFm9mzZ/PFF1/g5eVFYGAgcD2pv3nzZj7//HMaNWrE008/zdy5c6lUqdIdxyAiIiIiIiLyIDGZby3SKCIid61v376cO3eOTz755I77tmrVCg8PD1auXHkfIpO/S0ZGBi4uLqSnp6uesIiIiIiIiNx3Rf09VCUjRETuofT0dI4dO8bq1auLlAy+fPky7777LiEhIVhbW/Phhx+yY8cOvvjii78hWhERERERERF53CghLCJyD3Xo0IEDBw4wYMAAWrVqddv2JpOJrVu3MnnyZK5cuUL16tVZv349LVu2/BuiFREREREREZHHjWoIi4jcQwkJCVy+fJm5c+cWqb2dnR07duzg/PnzXLp0iW+++YZOnToZ9yMiIvLU9r0dHx8f5s2bd0d97of4+HhcXV3v2/gJCQmYTCaLF+xt2rSJatWqYW1tTWRk5H2bW0RERERERORhpYSwiDxSFi1aRJ06dXB2dsbZ2ZmgoCA+++yz4g7rvidH5brXXnuNl156iTNnzjBx4sQi9QkODlbyWERERERERB4bKhkhIo+UihUrMm3aNHx9fTGbzSxfvpwOHTpw5MgRatWqVdzhyX2UmZnJ2bNnCQkJoXz58sUdjog85nxGbynuEPKVMq1dcYcgIiIiIsVMO4RF5JESGhpK27Zt8fX1xc/Pj8mTJ+Po6MjXX39daL9Ro0bh5+eHvb09VapUYezYsWRnZ1u0+fTTT2nUqBGlSpXiiSeeoGPHjsa9rKwsoqKiqFChAg4ODjz11FMkJCQA10sb9O7dm/T0dEwmEyaTiejoaCZMmEDt2rXzxFKvXj3Gjh2bb5zBwcEMHjyYwYMH4+LiwhNPPMHYsWMxm80W7S5fvkyfPn1wcnLC29ubJUuWWNw/c+YMnTt3xtXVFTc3Nzp06EBKSopx/0apilmzZuHp6UmZMmUYNGiQxTP5888/6dmzJ6VLl8be3p42bdrw448/Fvqcb3b16lUGDx6Mp6cnpUqVolKlSkydOhWAlJQUTCYTSUlJRvsLFy5gMpmM53qzhIQEnJycAGjevLnR7vz583Tr1o0KFSpgb29PQEAAH374ocU6d+/eTWxsrPHZ3HgOx48fp02bNjg6OlKuXDl69OjB77//XuT1iYiIiIiIiDyIlBAWkUdWTk4Oa9as4dKlSwQFBRXa1snJifj4eE6cOEFsbCxLly61qAO8ZcsWOnbsSNu2bTly5Ag7d+7kySefNO4PHjyYffv2sWbNGr799ltefvllWrduzY8//kjjxo2ZN28ezs7OpKWlkZaWRlRUFH369CE5OZmDBw8a4xw5coRvv/2W3r17Fxjr8uXLKVGiBAcOHCA2NpY5c+awbNkyizazZ8+mYcOGHDlyhIEDB/L6669z8uRJALKzswkJCcHJyYk9e/aQmJiIo6MjrVu35urVq8YYu3bt4vTp0+zatYvly5cTHx9PfHy8cT8iIoJDhw7xySefsG/fPsxmM23bts2TSC/I/Pnz+eSTT/joo484efIkq1atwsfHp0h9b9W4cWNjfevXryctLY3GjRtz5coVGjRowJYtWzh+/DivvvoqPXr04MCBAwDExsYSFBRE//79jc/Gy8uLCxcu0Lx5cwIDAzl06BDbtm3jt99+o3PnzgXGkJWVRUZGhsUhIiIiIiIi8qBRyQgReeQcO3aMoKAgrly5gqOjIxs3bqRmzZqF9nn77beNn318fIiKimLNmjWMHDkSgMmTJ9O1a1diYmKMdnXr1gUgNTWVuLg4UlNTjVIFUVFRbNu2jbi4OKZMmYKLiwsmkwkPDw+jv6OjIyEhIcTFxdGoUSMA4uLiaNq0KVWqVCkwVi8vL+bOnYvJZKJ69eocO3aMuXPn0r9/f6NN27ZtGThwIHB99/PcuXPZtWsX1atXZ+3ateTm5rJs2TJMJpMxr6urKwkJCTz//PMAlC5dmgULFmBtbU2NGjVo164dO3fupH///vz444988sknJCYm0rhxYwBWrVqFl5cXmzZt4uWXXy70ed94br6+vjzzzDOYTCYqVap02z4FsbGxoWzZsgC4ubkZz7lChQpERUUZ7d544w22b9/ORx99xJNPPomLiws2NjbY29tbfDYLFiwgMDCQKVOmGNfef/99vLy8+OGHH/Dz88sTw9SpUy2+HyIiIiIiIiIPIu0QFpFHTvXq1UlKSmL//v28/vrr9OrVixMnTgAwYMAAHB0djeOGtWvX0qRJEzw8PHB0dOTtt98mNTXVuJ+UlESLFi3yne/YsWPk5OTg5+dnMfbu3bs5ffp0obH279+fDz/8kCtXrnD16lVWr15Nnz59Cu3z9NNPG4lcgKCgIH788UdycnKMa3Xq1DF+vpGIPnv2LABHjx7l1KlTODk5GbG6ublx5coVi3hr1aqFtbW1ce7p6WmMkZycTIkSJXjqqaeM+2XKlKF69eokJycXGv8NERERJCUlUb16dd58800+//zzIvW7Ezk5OUycOJGAgADc3NxwdHRk+/btFp9tfo4ePcquXbssPs8aNWoAFPiZjhkzhvT0dOM4c+bMPV+PiIiIiIiIyN3SDmEReeTY2NhQrVo1ABo0aMDBgweJjY1l8eLFTJgwwWLHKMC+ffsIDw8nJiaGkJAQXFxcWLNmDbNnzzba2NnZFThfZmYm1tbWHD582CKBClgknfMTGhqKra0tGzduxMbGhuzsbF566aU7XXIeJUuWtDg3mUzk5uYa8TZo0IBVq1bl6efu7l6kMe6F+vXr8/PPP/PZZ5+xY8cOOnfuTMuWLVm3bh1WVtf/vfLm2shFLUVxs5kzZxIbG8u8efMICAjAwcGByMhIi9IY+cnMzCQ0NJTp06fnuefp6ZlvH1tbW2xtbe84RhEREREREZG/kxLCIvLIy83NJSsrC4CyZcsapQVu2Lt3L5UqVeKtt94yrv3yyy8WberUqcPOnTvzre0bGBhITk4OZ8+e5dlnn803BhsbG4sdvDeUKFGCXr16ERcXh42NDV27di00+Qywf/9+i/Ovv/4aX1/fPMnogtSvX5+1a9dStmxZnJ2di9TnVv7+/ly7do39+/cbJSPOnz/PyZMnb1ue42bOzs506dKFLl268NJLL9G6dWv++OMPIzGdlpZGYGAggMUL5ooqMTGRDh068MorrwDXvws//PCDRYz5fTb169dn/fr1+Pj4UKKE/qoUERERERGRR4d+yxWRR8qYMWNo06YN3t7eXLx4kdWrV5OQkMD27dsL7OPr60tqaipr1qyhUaNGbNmyhY0bN1q0GT9+PC1atKBq1ap07dqVa9eusXXrVkaNGoWfnx/h4eH07NmT2bNnExgYyLlz59i5cyd16tShXbt2+Pj4kJmZyc6dO6lbty729vbY29sD0K9fP/z9/YHrCczbSU1NZdiwYbz22mt88803vPPOOxa7mW8nPDycmTNn0qFDByZMmEDFihX55Zdf2LBhAyNHjqRixYq3HcPX15cOHTrQv39/Fi9ejJOTE6NHj6ZChQp06NChSHHMmTMHT09PAgMDsbKy4uOPP8bDwwNXV1esrKx4+umnmTZtGpUrV+bs2bMWdZ6LytfXl3Xr1rF3715Kly7NnDlz+O233ywSwj4+Puzfv5+UlBSjfMagQYNYunQp3bp1Y+TIkbi5uXHq1CnWrFnDsmXLipx8F5HHV8q0dsUdgoiIiIhIvlRDWEQeKWfPnqVnz55Ur16dFi1acPDgQbZv306rVq0K7PPCCy8wdOhQBg8eTL169di7dy9jx461aBMcHMzHH3/MJ598Qr169WjevDkHDhww7sfFxdGzZ0+GDx9O9erVCQsL4+DBg3h7ewPQuHFjBgwYQJcuXXB3d2fGjBlGX19fXxo3bkyNGjUsavIWpGfPnvzvf//jySefZNCgQQwZMoRXX321yM/I3t6eL7/8Em9vbzp16oS/vz99+/blypUrd7RjOC4ujgYNGtC+fXuCgoIwm81s3bo1T6mJgjg5OTFjxgwaNmxIo0aNSElJYevWrUa5iPfff59r167RoEEDIiMjmTRpUpFju+Htt9+mfv36hISEEBwcjIeHB2FhYRZtoqKisLa2pmbNmri7uxsvB0xMTCQnJ4fnn3+egIAAIiMjjWS1iIiIiIiIyMPKZL65QKOIiPztzGYzvr6+DBw4kGHDhhXaNjg4mHr16jFv3ry/Jzj5yzIyMnBxcSE9Pf0vl+YQERERERERKaqi/h6qkhEiIsXo3LlzrFmzhl9//TXf+sQiIiIiIiIiIveSEsIiIsWobNmyPPHEEyxZsoTSpUsXdzgiIiIiIiIi8ohTIUQRkWJkNps5d+4c3bt3L1L7hISEPOUiTCYTmzZtAiAlJQWTyURSUtK9DbSIgoODiYyMLPYxRERERERERCR/SgiLiNwDixYtok6dOjg7O+Ps7ExQUBCfffZZge2Dg4MxmUx5jnbt7u6t9F5eXqSlpVG7du27Gud2EhISMJlMXLhw4b7Oc78p+SwiIiIiIiKPG5WMEBG5BypWrMi0adPw9fXFbDazfPlyOnTowJEjR6hVq1ae9hs2bODq1avG+fnz56lbty4vv/zyXcVhbW2Nh4fHXY3xKMjOzqZkyZLFHYaIPKR8Rm8p7hDum5Rpd/cPjyIiIiLy8NMOYRGReyA0NJS2bdvi6+uLn58fkydPxtHRka+//jrf9m5ubnh4eBjHF198gb29/W0Twj/++CPPPfccpUqVombNmnzxxRcW928tGXFjJ+/27dsJDAzEzs6O5s2bc/bsWT777DP8/f1xdname/fuXL582RgnNzeXqVOnUrlyZezs7Khbty7r1q0z5mjWrBkApUuXxmQyERERYdF35MiRxhqjo6ONe3369KF9+/YWMWdnZ1O2bFnee++9fNd8c0mMG1xdXYmPj7dY89q1a2natCmlSpVi1apVnD9/nm7dulGhQgXs7e0JCAjgww8/NMaIiIhg9+7dxMbGGju0U1JSADh+/Dht2rTB0dGRcuXK0aNHD37//fdCPxsRERERERGRh4ESwiIi91hOTg5r1qzh0qVLBAUFFanPe++9R9euXXFwcCiwTW5uLp06dcLGxob9+/fz7rvvMmrUqCKNHx0dzYIFC9i7dy9nzpyhc+fOzJs3j9WrV7NlyxY+//xz3nnnHaP91KlTWbFiBe+++y7fffcdQ4cO5ZVXXmH37t14eXmxfv16AE6ePElaWhqxsbFG3+XLl+Pg4MD+/fuZMWMGEyZMMBLX/fr1Y9u2baSlpRntN2/ezOXLl+nSpUuR1lKQ0aNHM2TIEJKTkwkJCeHKlSs0aNCALVu2cPz4cV599VV69OjBgQMHAIiNjSUoKIj+/fuTlpZGWloaXl5eXLhwgebNmxMYGMihQ4fYtm0bv/32G507dy50/qysLDIyMiwOERERERERkQeNSkaIiNwjx44dIygoiCtXruDo6MjGjRupWbPmbfsdOHCA48ePF7hD9oYdO3bw/fffs337dsqXLw/AlClTaNOmzW3nmDRpEk2aNAGgb9++jBkzhtOnT1OlShUAXnrpJXbt2sWoUaPIyspiypQp7Nixw0hoV6lSha+++orFixfTtGlT3NzcAChbtiyurq4Wc9WpU4fx48cD4Ovry4IFC9i5cyetWrWicePGVK9enZUrVzJy5EgA4uLiePnll3F0dLztOgoTGRlJp06dLK5FRUUZP7/xxhts376djz76iCeffBIXFxdsbGywt7e3KLOxYMECAgMDmTJlinHt/fffx8vLix9++AE/P7985586dSoxMTF3tQYRERERERGR+007hEVE7pHq1auTlJTE/v37ef311+nVqxcnTpy4bb/33nuPgIAAnnzySePalClTcHR0NI7U1FSSk5Px8vIyksFAkXcg16lTx/i5XLly2NvbG8ngG9fOnj0LwKlTp7h8+TKtWrWyiGHFihWcPn36juYC8PT0NMaG67uE4+LiAPjtt9/47LPP6NOnT5HWUZiGDRtanOfk5DBx4kQCAgJwc3PD0dGR7du3k5qaWug4R48eZdeuXRZrr1GjBkCh6x8zZgzp6enGcebMmbtek4iIiIiIiMi9ph3CIiL3iI2NDdWqVQOgQYMGHDx4kNjYWBYvXlxgn0uXLrFmzRomTJhgcX3AgAEWJQpuTgL/FTe/YM1kMuV54ZrJZCI3NxeAzMxMALZs2UKFChUs2tna2t7RXLeODdCzZ09Gjx7Nvn372Lt3L5UrV+bZZ58tcDyTyYTZbLa4lp2dnafdreU2Zs6cSWxsLPPmzSMgIAAHBwciIyMtXuaXn8zMTEJDQ5k+fXqee56engX2s7W1LdLzERERERERESlOSgiLiNwnubm5ZGVlFdrm448/Jisri1deecXiupubm1GW4QZ/f3/OnDlDWlqakZgs6KV1d6NmzZrY2tqSmppK06ZN821jY2MDXN+Fe6fKlClDWFgYcXFx7Nu3j969exfa3t3d3aLm8I8//mjxAryCJCYm0qFDB+PZ5ubm8sMPP1iU8bCxscmzhvr167N+/Xp8fHwoUUJ/TYqIiIiIiMijRb/piojcA2PGjKFNmzZ4e3tz8eJFVq9eTUJCAtu3by+033vvvUdYWBhlypS57RwtW7bEz8+PXr16MXPmTDIyMnjrrbfu1RIMTk5OREVFMXToUHJzc3nmmWdIT08nMTERZ2dnevXqRaVKlTCZTGzevJm2bdtiZ2d3RzWA+/XrR/v27cnJyaFXr16Ftm3evDkLFiwgKCiInJwcRo0alWcXcn58fX1Zt24de/fupXTp0syZM4fffvvNIiHs4+PD/v37SUlJwdHRETc3NwYNGsTSpUvp1q0bI0eOxM3NjVOnTrFmzRqWLVuGtbV1kdcpIg+nlGntijsEEREREZH7RjWERUTugbNnz9KzZ0+qV69OixYtOHjwINu3b6dVq1YAREREEBwcbNHn5MmTfPXVV/Tt27dIc1hZWbFx40b+97//8eSTT9KvXz8mT558r5cCwMSJExk7dixTp07F39+f1q1bs2XLFipXrgxAhQoViImJYfTo0ZQrV47Bgwff0fgtW7bE09OTkJCQ25bDmD17Nl5eXjz77LN0796dqKgo7O3tbzvH22+/Tf369QkJCSE4OBgPDw/CwsIs2kRFRWFtbU3NmjVxd3cnNTWV8uXLk5iYSE5ODs8//zwBAQFERkbi6uqKlZX+2hQREREREZGHm8l8a2FGERG555o2bUqzZs2Ijo4u7lAeCJmZmVSoUIG4uDg6depU3OHcFxkZGbi4uJCeno6zs3NxhyMiIiIiIiKPuKL+HqqSESIi91l6ejqnT59my5YtxR1KscvNzeX3339n9uzZuLq68sILLxR3SCIiIiIiIiKPFSWERUTuMxcXF/7zn/8UdxgPhNTUVCpXrkzFihWJj4/XS9tERERERERE/mYqhigi8oiJjo6mXr16xTJ3SkoKJpOJpKSkfO/7+PhgNps5c+YMLVq0+EtjiIiIiIiIiMhfp4SwiMj/+fLLLwkNDaV8+fKYTCY2bdpUaPuvvvqKJk2aUKZMGezs7KhRowZz584ttE90dDQmkynP4eDgUGi/4OBgIiMji7SOqKgodu7cWaS2dyMiIiLPS9oeNko+i4iIiIiIyONG/1dXROT/XLp0ibp169KnT58ivejMwcGBwYMHU6dOHRwcHPjqq6947bXXcHBw4NVXX823T1RUFAMGDLC41qJFCxo1anTX8ZvNZnJycnB0dMTR0fGux3uYXb16FRsbm+IOQ0TkgeMz+sGuZ58yrV1xhyAiIiLyyNMOYRGR/9OmTRsmTZpEx44di9Q+MDCQbt26UatWLXx8fHjllVcICQlhz549BfZxdHTEw8PDOH777TdOnDhB3759C+wTERHB7t27iY2NNXYUp6SkkJCQgMlk4rPPPqNBgwbY2try1Vdf5SkZcWMn75QpUyhXrhyurq5MmDCBa9euMWLECNzc3KhYsSJxcXEW8545c4bOnTvj6uqKm5sbHTp0ICUlBbi+03n58uX861//MmJKSEgw+v700080a9YMe3t76taty759+4DrSXdnZ2fWrVtnMdemTZtwcHDg4sWLedYfHx+Pq6trnvYmk8k4v7HmZcuWUblyZUqVKgXAtm3beOaZZ3B1daVMmTK0b9+e06dPG/0qV64MXP8sTSYTwcHBxr1ly5bh7+9PqVKlqFGjBgsXLizwMxIRERERERF5WCghLCJyjxw5coS9e/fStGnTIvdZtmwZfn5+PPvsswW2iY2NJSgoiP79+5OWlkZaWhpeXl7G/dGjRzNt2jSSk5OpU6dOvmP8+9//5r///S9ffvklc+bMYfz48bRv357SpUuzf/9+BgwYwGuvvWa8/C47O5uQkBCcnJzYs2cPiYmJODo60rp1a65evUpUVBSdO3emdevWRkyNGzc25nvrrbeIiooiKSkJPz8/unXrxrVr13BwcKBr1655ks9xcXG89NJLODk5FfnZ3erUqVOsX7+eDRs2GCUgLl26xLBhwzh06BA7d+7EysqKjh07kpubC8CBAwcA2LFjB2lpaWzYsAGAVatWMW7cOCZPnkxycjJTpkxh7NixLF++vMD5s7KyyMjIsDhEREREREREHjQqGSEicpcqVqzIuXPnuHbtGtHR0fTr169I/a5cucKqVasYPXp0oe1cXFywsbHB3t4eDw+PPPcnTJhAq1atCh3Dzc2N+fPnY2VlRfXq1ZkxYwaXL1/mH//4BwBjxoxh2rRpfPXVV3Tt2pW1a9eSm5vLsmXLjJ24cXFxuLq6kpCQwPPPP4+dnR1ZWVn5xhQVFUW7dtf/229MTAy1atXi1KlT1KhRg379+tG4cWPS0tLw9PTk7NmzbN26lR07dhTpuRXk6tWrrFixAnd3d+Paiy++aNHm/fffx93dnRMnTlC7dm2jbZkyZSzWMX78eGbPnm2UDqlcuTInTpxg8eLF9OrVK9/5p06dSkxMzF2tQUREREREROR+0w5hEZG7tGfPHg4dOsS7777LvHnz+PDDD4vUb+PGjVy8eNEiwbhnzx6jBrCjoyOrVq267TgNGza8bZtatWphZfX//5Ffrlw5AgICjHNra2vKlCnD2bNnATh69CinTp3CycnJiMXNzY0rV65YlFwoyM07lT09PQGMsZ988klq1apl7Lb94IMPqFSpEs8999xtxy1MpUqVLJLBAD/++CPdunWjSpUqODs74+PjA0BqamqB41y6dInTp0/Tt29fi89i0qRJha59zJgxpKenG8eZM2fuaj0iIiIiIiIi94N2CIuI3KUbdWgDAgL47bffiI6Oplu3brftt2zZMtq3b0+5cuWMaw0bNjTKHQAW9wri4OBw2zYlS5a0ODeZTPleu1FKITMzkwYNGuSbkL416Xq7+W7sML4xNkC/fv345z//yejRo4mLi6N3794WNYFvZmVlhdlstriWnZ2dp11+zyE0NJRKlSqxdOlSypcvT25uLrVr1+bq1asFxp6ZmQnA0qVLeeqppyzuWVtbF9jP1tYWW1vbAu+LiIiIiIiIPAiUEBYRuYdyc3PJysq6bbuff/6ZXbt28cknn1hct7Ozo1q1anna29jYkJOTc8/ivJ369euzdu1aypYti7Ozc75t7iamV155hZEjRzJ//nxOnDhRYBkGuJ6AvnjxIpcuXTKSvjcnzQty/vx5Tp48ydKlS40azV999VWeNQAW6yhXrhzly5fnp59+Ijw8/E6XJiIiIiIiIvJAU0JYROT/ZGZmcurUKeP8559/JikpCTc3N7y9vfO0/+c//4m3tzc1atQA4Msvv2TWrFm8+eabt53r/fffx9PTkzZt2hQpNh8fH/bv309KSopRvuF+Cg8PZ+bMmXTo0IEJEyZQsWJFfvnlFzZs2MDIkSOpWLEiPj4+bN++nZMnT1KmTBlcXFyKPH7p0qXp1KkTI0aM4Pnnn6dixYoFtn3qqaewt7fnH//4B2+++Sb79+8nPj6+SHOUKVOGJUuW4OnpSWpqap56zWXLlsXOzo5t27ZRsWJFSpUqhYuLCzExMbz55pu4uLjQunVrsrKyOHToEH/++SfDhg0r8jpFRB40KdPaFXcIIiIiIlLMVENYROT/HDp0iMDAQAIDAwEYNmwYgYGBjBs3DoDo6GijBi1c3w08ZswY6tWrR8OGDfnnP//J9OnTmTBhgtEmPj4+TymE3Nxc4uPjiYiIKLQEwc2ioqKwtramZs2auLu7F1oD916wt7fnyy+/xNvbm06dOuHv70/fvn25cuWKsWO4f//+VK9enYYNG+Lu7k5iYuIdzdG3b1+uXr1Knz59Cm3n5ubGBx98wNatWwkICODDDz8kOjr6tuNbWVmxZs0aDh8+TO3atRk6dCgzZ860aFOiRAnmz5/P4sWLKV++PB06dACul7RYtmwZcXFxBAQE0LRpU+Lj443yICIiIiIiIiIPK5P51sKMIiKSr169emEymYq0O/WG8ePHs3v3bhISEu5bXA+rlStXMnToUP773/8apRseJRkZGbi4uJCenl5g2Q0RERERERGRe6Wov4eqZISISBGYzWYSEhLy1KC9nc8++4wFCxbcp6geTpcvXyYtLY1p06bx2muvPZLJYBEREREREZEHlUpGiIj8n4SEBEwmExcuXMhzz2Qy8csvv+Dl5XVHYxw4cIAnn3wyz1ibNm26q1jj4+NxdXW9oz73Yt57YcaMGdSoUQMPDw/GjBlT3OGIiIiIiIiIPFaUEBaRx1JwcDCRkZHFMndaWlqRXyb3oFm0aBF16tTB2dkZZ2dngoKC+Oyzz+5ojOjoaLKzs9m5cyeOjo73JK6/kiCHwv8RQERERERERORRpJIRIiJ/Mw8Pj+IO4S+rWLEi06ZNw9fXF7PZzPLly+nQoQNHjhyhVq1axR2ePGZ8Rm8p7hBEHjop09oVdwgiIiIiUsy0Q1hEHmjBwcG88cYbREZGUrp0acqVK8fSpUu5dOkSvXv3xsnJiWrVquXZpXr8+HHatGmDo6Mj5cqVo0ePHvz+++8AREREsHv3bmJjYzGZTJhMJlJSUoy+hw8fpmHDhtjb29O4cWNOnjwJQEpKClZWVhw6dMhirnnz5lGpUiVyc3OLtKabSzekpKRgMpnYsGEDzZo1w97enrp167Jv3z6LPvHx8Xh7e2Nvb0/Hjh05f/58nnEXLVpE1apVsbGxoXr16qxcubLQOM6cOUPnzp1xdXXFzc2NDh06WDyH/ISGhtK2bVt8fX3x8/Nj8uTJODo68vXXXxfab9SoUfj5+WFvb0+VKlUYO3Ys2dnZFm0+/fRTGjVqRKlSpXjiiSfo2LGjcS8rK4uoqCgqVKiAg4MDTz31lPGivoSEBHr37k16errxeUZHRwPXX1zXsGFDnJyc8PDwoHv37pw9exa4/uybNWsGQOnSpTGZTERERACQm5vL1KlTqVy5MnZ2dtStW5d169YVukYRERERERGRh4ESwiLywFu+fDlPPPEEBw4c4I033uD111/n5ZdfpnHjxnzzzTc8//zz9OjRg8uXLwNw4cIFmjdvTmBgIIcOHWLbtm389ttvdO7cGYDY2FiCgoLo378/aWlppKWlWdQGfuutt5g9ezaHDh2iRIkS9OnTBwAfHx9atmxJXFycRXxxcXFERERgZfXX/0h96623iIqKIikpCT8/P7p168a1a9cA2L9/P3379mXw4MEkJSXRrFkzJk2aZNF/48aNDBkyhOHDh3P8+HFee+01evfuza5du/KdLzs7m5CQEJycnNizZw+JiYk4OjrSunVrrl69WqSYc3JyWLNmDZcuXSIoKKjQtk5OTsTHx3PixAliY2NZunQpc+fONe5v2bKFjh070rZtW44cOcLOnTstai8PHjyYffv2sWbNGr799ltefvllWrduzY8//kjjxo2ZN28ezs7OxucZFRVlrHPixIkcPXqUTZs2kZKSYiR9vby8WL9+PQAnT54kLS2N2NhYAKZOncqKFSt49913+e677xg6dCivvPIKu3fvLtKzEREREREREXlQmcxms7m4gxARKUhwcDA5OTns2bMHuJ6EdHFxoVOnTqxYsQKAX3/9FU9PT/bt28fTTz/NpEmT2LNnD9u3bzfG+c9//oOXlxcnT57Ez8+P4OBg6tWrx7x584w2CQkJNGvWjB07dtCiRQsAtm7dSrt27fjf//5HqVKl+OijjxgwYABpaWnY2tryzTff0LBhQ3766Sd8fHyMMf78888Ca9qaTCY2btxIWFgYKSkpVK5cmWXLltG3b18ATpw4Qa1atUhOTqZGjRp0796d9PR0tmz5//97fNeuXdm2bZtR+7ZJkybUqlWLJUuWGG06d+7MpUuXjH43z/vBBx8wadIkkpOTMZlMAFy9ehVXV1c2bdrE888/X+BncuzYMYKCgrhy5QqOjo6sXr2atm3bFuXjNMyaNYs1a9YYu60bN25MlSpV+OCDD/K0TU1NpUqVKqSmplK+fHnjesuWLXnyySeZMmUK8fHxREZG3rYW8KFDh2jUqBEXL17E0dEx388rKysLNzc3duzYYZHo7tevH5cvX2b16tX5jp2VlUVWVpZxnpGRgZeXF+np6Tg7Oxf10cgdUMkIkTunkhEiIiIij66MjAxcXFxu+3uodgiLyAOvTp06xs/W1taUKVOGgIAA41q5cuUAjFIAR48eZdeuXTg6OhpHjRo1ADh9+vQdzefp6WkxdlhYGNbW1mzcuBG4XsqhWbNm+Pj43MUKC58zOTmZp556yqL9rTtyk5OTadKkicW1Jk2akJycnO98R48e5dSpUzg5ORnPyM3NjStXrnD69Gn27Nlj8fxWrVpl9K1evTpJSUns37+f119/nV69enHixAkABgwYYNHvhrVr19KkSRM8PDxwdHTk7bffJjU11biflJRkJOFvdezYMXJycvDz87MYe/fu3bf9PA8fPkxoaCje3t44OTnRtGlTAIu5b3Xq1CkuX75Mq1atLOZbsWJFofNNnToVFxcX47h517mIiIiIiIjIg0IvlRORB17JkiUtzk0mk8W1Gztcb9TwzczMJDQ0lOnTp+cZ60aytajz3Tq2jY0NPXv2JC4ujk6dOrF69WqjzMDdKGzO+yEzM5MGDRpYJHpvcHd3x8bGhqSkJOPajaQ7XH8G1apVA6BBgwYcPHiQ2NhYFi9ezIQJE4xyDTfs27eP8PBwYmJiCAkJwcXFhTVr1jB79myjjZ2dXaGxWltbc/jwYaytrS3u3Zx0vtWlS5cICQkhJCSEVatW4e7uTmpqKiEhIYWWxcjMzASul7GoUKGCxT1bW9sC+40ZM4Zhw4YZ5zd2CIuIiIiIiIg8SJQQFpFHTv369Vm/fj0+Pj6UKJH/H3M2Njbk5OT8pfH79etH7dq1WbhwIdeuXaNTp053E+5t+fv7s3//fotrt77Ezd/fn8TERHr16mVcS0xMpGbNmvmOWb9+fdauXUvZsmUL/G8kN5K+t5Obm2uUSihbtixly5a1uL93714qVarEW2+9ZVz75ZdfLNrUqVOHnTt30rt37zzjBwYGkpOTw9mzZ3n22WfzjSG/z/P777/n/PnzTJs2zUjM3vpCQBsbGwCLvjVr1sTW1pbU1FRjR3FR2NraFpowFhEREREREXkQKCEsIo+cQYMGsXTpUrp168bIkSNxc3Pj1KlTrFmzhmXLlmFtbY2Pjw/79+8nJSXFKJdQVP7+/jz99NOMGjWKPn36FLq79V548803adKkCbNmzaJDhw5s376dbdu2WbQZMWIEnTt3JjAwkJYtW/Lpp5+yYcMGduzYke+Y4eHhzJw5kw4dOjBhwgQqVqzIL7/8woYNGxg5ciQVK1bMt9+YMWNo06YN3t7eXLx4kdWrV5OQkGBRr/lWvr6+pKamsmbNGho1asSWLVuMkhs3jB8/nhYtWlC1alW6du3KtWvX2Lp1K6NGjcLPz4/w8HB69uzJ7NmzCQwM5Ny5c+zcuZM6derQrl07fHx8yMzMZOfOndStWxd7e3u8vb2xsbHhnXfeYcCAARw/fpyJEydazFupUiVMJhObN2+mbdu22NnZ4eTkRFRUFEOHDiU3N5dnnnmG9PR0EhMTcXZ2tki6S/FSLVQREREREZE7pxrCIvLIKV++PImJieTk5PD8888TEBBAZGQkrq6uWFld/2MvKioKa2tratasaZQSuBN9+/bl6tWr9OnT534swcLTTz/N0qVLiY2NpW7dunz++ee8/fbbFm3CwsKIjY1l1qxZ1KpVi8WLFxMXF0dwcHC+Y9rb2/Pll1/i7e1Np06d8Pf3p2/fvly5cqXQwvNnz56lZ8+eVK9enRYtWnDw4EG2b99Oq1atCuzzwgsvMHToUAYPHky9evXYu3cvY8eOtWgTHBzMxx9/zCeffEK9evVo3rw5Bw4cMO7HxcXRs2dPhg8fTvXq1QkLC+PgwYN4e3sD119KN2DAALp06YK7uzszZszA3d2d+Ph4Pv74Y2rWrMm0adOYNWuWxbwVKlQgJiaG0aNHU65cOQYPHgzAxIkTGTt2LFOnTsXf35/WrVuzZcsWKleuXOA6RURERERERB4GJrPZbC7uIEREHjYTJ07k448/5ttvvy3uUOQBVdS3u4qIiIiIiIjcC0X9PVQ7hEVE7kBmZibHjx9nwYIFvPHGG8UdjoiIiIiIiIjIHVFCWETkDgwePJgGDRoQHBz8t5SLEBERERERERG5l5QQFhG5A/Hx8WRlZbF27Vqsra2LO5wHmo+PD/Pmzbtv4wcHBxMZGWmcX758mRdffBFnZ2dMJhMXLly4b3OLiIiIiIiIPKyUEBYRkUfC8uXL2bNnD3v37iUtLQ0XF5fb9klISFDyWERERERERB4rJYo7ABER+XtdvXoVGxub4g7jnjt9+jT+/v7Url27uEMREXlg+YzeUtwhPJZSprUr7hBEREREDNohLCLyAMnKyuLNN9+kbNmylCpVimeeeYaDBw/ett9//vMfunXrhpubGw4ODjRs2JD9+/cDEB0dTb169Vi2bBmVK1emVKlSAFy4cIF+/frh7u6Os7MzzZs35+jRo8aYR48epVmzZjg5OeHs7EyDBg04dOiQcX/9+vXUqlULW1tbfHx8mD179h2tNSEhgSeffBIHBwdcXV1p0qQJv/zyCwARERGEhYVZtI+MjCQ4ODjfsYKDg5k9ezZffvklJpPJaLdy5UoaNmyIk5MTHh4edO/enbNnzwKQkpJCs2bNAChdujQmk4mIiAgAcnNzmTp1KpUrV8bOzo66deuybt26O1qfiIiIiIiIyINIO4RFRB4gI0eOZP369SxfvpxKlSoxY8YMQkJCOHXqFG5ubvn2yczMpGnTplSoUIFPPvkEDw8PvvnmG3Jzc402p06dYv369WzYsMGoffzyyy9jZ2fHZ599houLC4sXL6ZFixb88MMPuLm5ER4eTmBgIIsWLcLa2pqkpCRKliwJwOHDh+ncuTPR0dF06dKFvXv3MnDgQMqUKWMkVQtz7do1wsLC6N+/Px9++CFXr17lwIEDmEymv/TcNmzYwOjRozl+/DgbNmwwdkBnZ2czceJEqlevztmzZxk2bBgRERFs3boVLy8v1q9fz4svvsjJkydxdnbGzs4OgKlTp/LBBx/w7rvv4uvry5dffskrr7yCu7s7TZs2/UsxioiIiIiIiDwIlBAWEXlAXLp0iUWLFhEfH0+bNm0AWLp0KV988QXvvfceI0aMyLff6tWrOXfuHAcPHjSSxtWqVbNoc/XqVVasWIG7uzsAX331FQcOHODs2bPY2toCMGvWLDZt2sS6det49dVXSU1NZcSIEdSoUQMAX19fY7w5c+bQokULxo4dC4Cfnx8nTpxg5syZRUoIZ2RkkJ6eTvv27alatSoA/v7+RX1Uebi5uWFvb4+NjQ0eHh7G9T59+hg/V6lShfnz59OoUSMyMzNxdHQ0nlfZsmVxdXUFru/SnjJlCjt27CAoKMjo+9VXX7F48eICE8JZWVlkZWVZrFFERERERETkQaOSESIiD4jTp0+TnZ1NkyZNjGslS5bkySefJDk5GYABAwbg6OhoHABJSUkEBgYWuIMYoFKlSkYyGK6Xg8jMzKRMmTIW4/3888+cPn0agGHDhtGvXz9atmzJtGnTjOsAycnJFnECNGnShB9//JGcnJzbrtXNzY2IiAhCQkIIDQ0lNjaWtLS0IjylO3P48GFCQ0Px9vbGycnJSOampqYW2OfUqVNcvnyZVq1aWTybFStWWDyDW02dOhUXFxfj8PLyuufrEREREREREblbSgiLiDxEJkyYQFJSknEARpmDwjg4OFicZ2Zm4unpaTFWUlISJ0+eNHYiR0dH891339GuXTv+/e9/U7NmTTZu3HjP1hIXF8e+ffto3Lgxa9euxc/Pj6+//hoAKysrzGazRfvs7Ow7Gv/SpUuEhITg7OzMqlWrOHjwoBH/1atXC+yXmZkJwJYtWyyezYkTJwqtIzxmzBjS09ON48yZM3cUr4iIiIiIiMjfQSUjREQeEFWrVsXGxobExEQqVaoEXE+CHjx4kMjISOB6aYOyZcta9KtTpw7Lli3jjz/+KHSX8M3q16/Pr7/+SokSJfDx8SmwnZ+fH35+fgwdOpRu3boRFxdHx44d8ff3JzEx0aJtYmIifn5+Ro3ioggMDCQwMJAxY8YQFBTE6tWrefrpp3F3d+f48eMWbW+uYVwU33//PefPn2fatGnGbt2bX4oHGLWGb97VXLNmTWxtbUlNTb2jesG2trZG+Q0RERERERGRB5USwiIiDwgHBwdef/11RowYgZubG97e3syYMYPLly/Tt2/fAvt169aNKVOmEBYWxtSpU/H09OTIkSOUL1/eqIF7q5YtWxIUFERYWBgzZszAz8+P//73v2zZsoWOHTtSq1YtRowYwUsvvUTlypX5z3/+w8GDB3nxxRcBGD58OI0aNWLixIl06dKFffv2sWDBAhYuXFiktf78888sWbKEF154gfLly3Py5El+/PFHevbsCUDz5s2ZOXMmK1asICgoiA8++IDjx48TGBhY5Ofp7e2NjY0N77zzDgMGDOD48eNMnDjRok2lSpUwmUxs3ryZtm3bYmdnh5OTE1FRUQwdOpTc3FyeeeYZ0tPTSUxMxNnZmV69ehU5BhGRB03KtHbFHYKIiIiIFDOVjBAReYBMmzaNF198kR49elC/fn1OnTrF9u3bKV26dIF9bGxs+Pzzzylbtixt27YlICCAadOmFbpT12QysXXrVp577jl69+6Nn58fXbt25ZdffqFcuXJYW1tz/vx5evbsiZ+fH507d6ZNmzbExMQA13cYf/TRR6xZs4batWszbtw4JkyYUKQXygHY29vz/fff8+KLL+Ln58err77KoEGDeO211wAICQlh7NixjBw5kkaNGnHx4kUjWVxU7u7uxMfH8/HHH1OzZk2mTZvGrFmzLNpUqFCBmJgYRo8eTbly5Rg8eDAAEydOZOzYsUydOhV/f39at27Nli1bqFy58h3FICIiIiIiIvKgMZlvLdIoIiIidy0jIwMXFxfS09NxdnYu7nBERERERETkEVfU30O1Q1hERERERERERETkMaGEsIiIiIiIiIiIiMhjQglhERERERERERERkceEEsIi8rcJDg4mMjLyb50zPj4eV1dX4zw6Opp69er9rTHcqZMnT+Lh4cHFixeLO5T7LiUlBZPJRFJSUnGHUqBt27ZRr149cnNzizsUERERERERkbtWorgDEBH5O0VFRfHGG2/c0zETEhJo1qwZf/75p0Xy+a8aM2YMb7zxBk5OTnnunTp1isDAQKytrblw4cJdz/U4iY+PJzIy8o6fW+vWrRk7diyrVq2iR48e9yc4EZG/ic/oLcUdgsh9kzKtXXGHICIi8lDQDmEReaw4OjpSpkyZ4g6jQKmpqWzevJmIiIg897Kzs+nWrRvPPvvs3x/YA+zq1av3fY6IiAjmz59/3+cRERERERERud+UEBaRYpOVlUVUVBQVKlTAwcGBp556ioSEBAAyMjKws7Pjs88+s+izceNGnJycuHz5MgkJCZhMJosdn0lJSZhMJlJSUvKd89aSEREREYSFhTFr1iw8PT0pU6YMgwYNIjs722izcuVKGjZsiJOTEx4eHnTv3p2zZ88C10seNGvWDIDSpUtjMpmMZG5ubi5Tp06lcuXK2NnZUbduXdatW1foM/noo4+oW7cuFSpUyHPv7bffpkaNGnTu3LnQMW62aNEiqlatio2NDdWrV2flypXGvT59+lCnTh2ysrKA64nVwMBAevbsWaT+3bt3p0uXLhbzZWdn88QTT7BixQrgermFZ555BldXV8qUKUP79u05ffp0oTEfP36cNm3a4OjoSLly5ejRowe///67cT84OJjBgwcTGRnJE088QUhICABz5swhICAABwcHvLy8GDhwIJmZmcD1Xdy9e/cmPT0dk8mEyWQiOjoaKPx7eENoaCiHDh26bewiIiIiIiIiDzolhEWk2AwePJh9+/axZs0avv32W15++WVat27Njz/+iLOzM+3bt2f16tUWfVatWkVYWBj29vb3LI5du3Zx+vRpdu3axfLly4mPjyc+Pt64n52dzcSJEzl69CibNm0iJSXFSPp6eXmxfv164Hrt37S0NGJjYwGYOnUqK1as4N133+W7775j6NChvPLKK+zevbvAWPbs2UPDhg3zXP/3v//Nxx9/zD//+c8ir2vjxo0MGTKE4cOHc/z4cV577TV69+7Nrl27AJg/fz6XLl1i9OjRALz11ltcuHCBBQsWFKl/eHg4n376qZF0Bdi+fTuXL1+mY8eOAFy6dIlhw4Zx6NAhdu7ciZWVFR07diywHu+FCxdo3rw5gYGBHDp0iG3btvHbb7/lSYIvX74cGxsbEhMTeffddwGwsrJi/vz5fPfddyxfvpx///vfjBw5EoDGjRszb948nJ2dSUtLIy0tjaioKKDw7+EN3t7elCtXjj179hT4vLOyssjIyLA4RERERERERB40qiEsIsUiNTWVuLg4UlNTKV++PHC9vu+2bduIi4tjypQphIeH06NHDy5fvoy9vT0ZGRls2bKFjRs33tNYSpcuzYIFC7C2tqZGjRq0a9eOnTt30r9/f+D6TtobqlSpwvz582nUqBGZmZk4Ojri5uYGQNmyZY0awllZWUyZMoUdO3YQFBRk9P3qq69YvHgxTZs2zTeWX375JU9C+Pz580RERPDBBx/g7Oxc5HXNmjWLiIgIBg4cCMCwYcP4+uuvmTVrFs2aNcPR0ZEPPviApk2b4uTkxLx589i1a5cxx+36h4SE4ODgwMaNG43auqtXr+aFF14w6h+/+OKLFjG9//77uLu7c+LECWrXrp0n5gULFhAYGMiUKVMs+nh5efHDDz/g5+cHgK+vLzNmzLDoe/MLC318fJg0aRIDBgxg4cKF2NjY4OLigslkwsPDw2hXlO/hDeXLl+eXX34p8HlPnTqVmJiYAu+LiIiIiIiIPAi0Q1hEisWxY8fIycnBz88PR0dH49i9e7fx3/Lbtm1LyZIl+eSTTwBYv349zs7OtGzZ8p7GUqtWLaytrY1zT09PoyQEwOHDhwkNDcXb2xsnJycjmZuamlrgmKdOneLy5cu0atXKYn0rVqwotOzA//73P0qVKmVxrX///nTv3p3nnnsu3z579uyxmGPVqlUAJCcn06RJE4u2TZo0ITk52TgPCgoiKiqKiRMnMnz4cJ555hnj3u36lyhRgs6dOxvzXbp0iX/961+Eh4cb7X/88Ue6detGlSpVcHZ2xsfHByj42R09epRdu3ZZrKdGjRoAFs+tQYMGefru2LGDFi1aUKFCBZycnOjRowfnz5/n8uXL+c4FRfse3mBnZ1foWGPGjCE9Pd04zpw5U2BbERERERERkeKiHcIiUiwyMzOxtrbm8OHDFslYuP7iNwAbGxteeuklVq9eTdeuXVm9ejVdunShRInrf3RZWV3/Ny2z2Wz0vbn2b1GVLFnS4txkMhklDS5dukRISAghISGsWrUKd3d3UlNTCQkJKfRlZjfKKGzZsiVPPWBbW9sC+z3xxBP8+eefFtf+/e9/88knnzBr1izg+npzc3MpUaIES5YsoVu3biQlJRnty5Urd/tF/5/c3FwSExOxtrbm1KlTRe53Q3h4OE2bNuXs2bN88cUX2NnZ0bp1a+N+aGgolSpVYunSpZQvX57c3Fxq165d4LPLzMwkNDSU6dOn57nn6elp/Ozg4GBxLyUlhfbt2/P6668zefJk3Nzc+Oqrr+jbty9Xr14tsMRIUb6HN/zxxx+4u7sX+CxsbW0L/WxFREREREREHgRKCItIsQgMDCQnJ4ezZ8/y7LPPFtguPDycVq1a8d133/Hvf/+bSZMmGfduJOfS0tIoXbo0gEVi9F74/vvvOX/+PNOmTcPLywuAQ4cOWbSxsbEBICcnx7hWs2ZNbG1tSU1NLbA8RH4CAwM5ceKExbV9+/ZZjP2vf/2L6dOns3fvXipUqICdnR3VqlXLM5a/vz+JiYn06tXLuJaYmEjNmjWN85kzZ/L999+ze/duQkJCiIuLo3fv3kXu37hxY7y8vFi7di2fffYZL7/8spFgP3/+PCdPnmTp0qXGZ/zVV18Vuv769euzfv16fHx8jMR/URw+fJjc3Fxmz55t/EPBRx99ZNHGxsbG4jlC0b+HV65c4fTp0wQGBhY5JhGRB1HKtHbFHYKIiIiIFDMlhEWkWPj5+REeHk7Pnj2ZPXs2gYGBnDt3jp07d1KnTh3atbv+C+tzzz2Hh4cH4eHhVK5cmaeeesoYo1q1anh5eREdHc3kyZP54YcfmD179j2N09vbGxsbG9555x0GDBjA8ePHmThxokWbSpUqYTKZ2Lx5M23btsXOzg4nJyeioqIYOnQoubm5PPPMM6Snp5OYmIizs7NFkvVmISEh9OvXj5ycHGPHqr+/v0WbQ4cOYWVllW8N3puNGDGCzp07ExgYSMuWLfn000/ZsGEDO3bsAODIkSOMGzeOdevW0aRJE+bMmcOQIUNo2rQpVapUuW3/G7p37867777LDz/8YLxwDq7XZi5TpgxLlizB09OT1NRU4wV2BRk0aBBLly6lW7dujBw5Ejc3N06dOsWaNWtYtmxZnl28N1SrVo3s7GzeeecdQkNDLV42d4OPjw+ZmZns3LmTunXrYm9vX+Tv4ddff42tra1RD1pERERERETkYaUawiJSbOLi4ujZsyfDhw+nevXqhIWFcfDgQby9vY02JpOJbt26cfToUYvatHC91MOHH37I999/T506dZg+fbrFDuJ7wd3dnfj4eD7++GNq1qzJtGnTjNINN1SoUIGYmBhGjx5NuXLlGDx4MAATJ05k7NixTJ06FX9/f1q3bs2WLVuoXLlygfO1adOGEiVK5Em6/hVhYWHExsYya9YsatWqxeLFi4mLiyM4OJgrV67wyiuvEBERQWhoKACvvvoqzZo1o0ePHuTk5BTa/2bh4eGcOHGCChUqWNQctrKyYs2aNRw+fJjatWszdOhQZs6cWWjM5cuXJzExkZycHJ5//nkCAgKIjIzE1dXV2Pmbn7p16zJnzhymT59O7dq1WbVqFVOnTrVo07hxYwYMGECXLl1wd3c3XkpXlO/hhx9+SHh4eIGlJ0REREREREQeFibzzcU3RUSk2P3zn//kk08+Yfv27cUdigC///471atX59ChQ4Um82+VkZGBi4sL6enpODs738cIRURERERERIr+e6hKRoiIPGBee+01Lly4wMWLF3FycirucB57KSkpLFy48I6SwSIiIiIiIiIPKu0QFhGReyYiIoILFy6wadOmYh3jQaAdwiIiIiIiIvJ3KurvoaohLCLyEPHx8cFkMuU5Bg0a9LfGkZKSgslkIikp6W+d916LiIggLCysuMMQERERERER+duoZISIyEPk4MGD5OTkGOfHjx+nVatWvPzyy8UY1YMnOzubkiVLFncYIiIPHJ/RWwq8lzKt3d8YiYiIiIgUF+0QFhF5iLi7u+Ph4WEcmzdvpmrVqjRt2jTf9jd28n700Uc8++yz2NnZ0ahRI3744QcOHjxIw4YNcXR0pE2bNpw7d86i77Jly/D396dUqVLUqFGDhQsXGvdu1NMNDAzEZDIRHBxs0XfWrFl4enpSpkwZBg0aRHZ2NgATJkygdu3aeeKsV68eY8eOzXcNPj4+zJs3L0/76Oho49xkMrFo0SJeeOEFHBwcmDx5Mjk5OfTt25fKlStjZ2dH9erViY2NNfpER0ezfPly/vWvfxk7rRMSEgA4c+YMnTt3xtXVFTc3Nzp06EBKSkq+8YmIiIiIiIg8TJQQFhF5SF29epUPPviAPn36YDKZCm07fvx43n77bb755htKlChB9+7dGTlyJLGxsezZs4dTp04xbtw4o/2qVasYN24ckydPJjk5mSlTpjB27FiWL18OwIEDBwDYsWMHaWlpbNiwwei7a9cuTp8+za5du1i+fDnx8fHEx8cD0KdPH5KTkzl48KDR/siRI3z77bf07t37rp5HdHQ0HTt25NixY/Tp04fc3FwqVqzIxx9/zIkTJxg3bhz/+Mc/+OijjwCIioqic+fOtG7dmrS0NNLS0mjcuDHZ2dmEhITg5OTEnj17SExMxNHRkdatW3P16tW7ilFERERERESkuKlkhIjIQ2rTpk1cuHCBiIiI27aNiooiJCQEgCFDhtCtWzd27txJkyZNAOjbt6+RtIXrCeTZs2fTqVMn4PqO4BMnTrB48WJ69eqFu7s7AGXKlMHDw8NirtKlS7NgwQKsra2pUaMG7dq1Y+fOnfTv35+KFSsSEhJCXFwcjRo1AiAuLo6mTZtSpUqVu3oe3bt3z5NUjomJMX6uXLky+/bt46OPPqJz5844OjpiZ2dHVlaWxRo++OADcnNzWbZsmZFoj4uLw9XVlYSEBJ5//vl858/KyiIrK8s4z8jIuKv1iIiIiIiIiNwP2iEsIvKQeu+992jTpg3ly5cHYMCAATg6OhrHzerUqWP8XK5cOQACAgIsrp09exaAS5cucfr0afr27Wsx3qRJkzh9+vRt46pVqxbW1tbGuaenpzE2QP/+/fnwww+5cuUKV69eZfXq1fTp0+cvPAFLDRs2zHPtn//8Jw0aNMDd3R1HR0eWLFlCampqoeMcPXqUU6dO4eTkZKzdzc2NK1euFLr+qVOn4uLiYhxeXl53vSYRERERERGRe007hEVEHkK//PILO3bssCjVMGHCBKKiovJtf/ML1m7ser31Wm5uLgCZmZkALF26lKeeespinJsTvQW59WVuN48NEBoaiq2tLRs3bsTGxobs7GxeeumlAsezsrLCbDZbXLtRk/hmDg4OFudr1qwhKiqK2bNnExQUhJOTEzNnzmT//v2Fxp+ZmUmDBg1YtWpVnns3dkbnZ8yYMQwbNsw4z8jIUFJYREREREREHjhKCIuIPITi4uIoW7Ys7dr9/2+EL1u2LGXLlr3rscuVK0f58uX56aefCA8Pz7eNjY0NADk5OXc8fokSJejVqxdxcXHY2NjQtWtX7OzsCmzv7u5OWlqacZ6RkcHPP/9823kSExNp3LgxAwcONK7dusPXxsYmzxrq16/P2rVrKVu2LM7OzkVdFra2ttja2ha5vYiIiIiIiEhxUEJYROQhk5ubS1xcHL169aJEifvzx3hMTAxvvvkmLi4utG7dmqysLA4dOsSff/7JsGHDKFu2LHZ2dmzbto2KFStSqlQpXFxcijx+v3798Pf3B64nbgvTvHlz4uPjCQ0NxdXVlXHjxhVpp7Kvry8rVqxg+/btVK5cmZUrV3Lw4EEqV65stPHx8WH79u2cPHmSMmXK4OLiQnh4ODNnzqRDhw5MmDCBihUr8ssvv7BhwwZGjhxJxYoVi7xOEZEHTcq0drdvJCIiIiKPNNUQFhF5yOzYsYPU1NR7Une3IP369WPZsmXExcUREBBA06ZNiY+PN5KpJUqUYP78+SxevJjy5cvToUOHOxrf19eXxo0bU6NGjTxlKW41ZswYmjZtSvv27WnXrh1hYWFUrVr1tnO89tprdOrUiS5duvDUU09x/vx5i93CcL2ecfXq1WnYsCHu7u4kJiZib2/Pl19+ibe3N506dcLf35++ffty5cqVO9oxLCIiIiIiIvIgMplvLcwoIiJyn5nNZnx9fRk4cKBF3d1HSUZGBi4uLqSnpyuRLCIiIiIiIvddUX8PVckIERH5W507d441a9bw66+/0rt37+IOR0REREREROSxooSwiIj8rcqWLcsTTzzBkiVLKF26dHGHIyIiIiIiIvJYUQ1hEZG7FB0dTb169e5qjJSUFEwmE0lJSQAkJCRgMpm4cOECAPHx8bi6ulr0WbJkCV5eXlhZWTFv3ry7mv/vZDabOXfuHN27d7+rcfJ77tHR0ZQrVw6TycSmTZvuanwRERERERGRR5ESwiIiD4EuXbrwww8/GOcZGRkMHjyYUaNG8f/+3//j1VdfLcboHgzJycnExMSwePFi0tLSaNOmTZH6KXksIiIiIiIijxOVjBAReQjY2dlhZ2dnnKemppKdnU27du3w9PT8y+NmZ2dTsmTJexFisTt9+jQAHTp0wGQyFXM0IiIF8xm9pdjmTpnWrtjmFhEREZEHg3YIi8hjw8fHJ09phXr16hEdHW2cm0wmFi9eTPv27bG3t8ff3599+/Zx6tQpgoODcXBwoHHjxkby8WaLFy/Gy8sLe3t7OnfuTHp6usX9ZcuW4e/vT6lSpahRowYLFy4scuw3l4yIj48nICAAgCpVqmAymUhJSQHgX//6F/Xr16dUqVJUqVKFmJgYrl27ZrG+RYsW8cILL+Dg4MDkyZMBWLRoEVWrVsXGxobq1auzcuVKi/lNJhPLli2jY8eO2Nvb4+vryyeffGLR5vjx47Rp0wZHR0fKlStHjx49+P333wtc0y+//EJoaCilS5fGwcGBWrVqsXXr1jzrvWHTpk0FJnqjo6MJDQ0FwMrKymh38OBBWrVqxRNPPIGLiwtNmzblm2++Mfr5+PgA0LFjR0wmk3FelGcpIiIiIiIi8jBSQlhE5BYTJ06kZ8+eJCUlUaNGDbp3785rr73GmDFjOHToEGazmcGDB1v0OXXqFB999BGffvop27Zt48iRIwwcONC4v2rVKsaNG8fkyZNJTk5mypQpjB07luXLl99xfF26dGHHjh0AHDhwgLS0NLy8vNizZw89e/ZkyJAhnDhxgsWLFxMfH28kfW+Ijo6mY8eOHDt2jD59+rBx40aGDBnC8OHDOX78OK+99hq9e/dm165dFv1iYmLo3Lkz3377LW3btiU8PJw//vgDgAsXLtC8eXMCAwM5dOgQ27Zt47fffqNz584FrmPQoEFkZWXx5ZdfcuzYMaZPn46jo+MdPw+AqKgo4uLiAEhLSyMtLQ2Aixcv0qtXL7766iu+/vprfH19adu2LRcvXgSuJ4wB4uLiSEtLM86L+ixvlpWVRUZGhsUhIiIiIiIi8qBRyQgRkVv07t3bSGSOGjWKoKAgxo4dS0hICABDhgyhd+/eFn2uXLnCihUrqFChAgDvvPMO7dq1Y/bs2Xh4eDB+/Hhmz55Np06dAKhcubKRaOzVq9cdxWdnZ0eZMmUAcHd3x8PDA7iesB09erQxXpUqVZg4cSIjR45k/PjxRv/u3btbxN+tWzciIiKMBPawYcP4+uuvmTVrFs2aNTPaRURE0K1bNwCmTJnC/PnzOXDgAK1bt2bBggUEBgYyZcoUo/3777+Pl5cXP/zwA35+fnnWkZqayosvvmix2/mvcnR0NHYU33geAM2bN7dot2TJElxdXdm9ezft27fH3d0dAFdXV4t+RX2WN5s6dSoxMTF/eQ0iIiIiIiIifwftEBYRuUWdOnWMn8uVKwdgJC1vXLty5YrFDlBvb28jGQwQFBREbm4uJ0+e5NKlS5w+fZq+ffvi6OhoHJMmTcq39MRfdfToUSZMmGAxR//+/UlLS+Py5ctGu4YNG1r0S05OpkmTJhbXmjRpQnJyssW1m5+Lg4MDzs7OnD171ph7165dFnPXqFEDoMA1vvnmm0yaNIkmTZowfvx4vv3227+++AL89ttv9O/fH19fX1xcXHB2diYzM5PU1NRC+xX1Wd5szJgxpKenG8eZM2fu+XpERERERERE7pZ2CIvIY8PKygqz2WxxLTs7O0+7m1+ydqMWbX7XcnNzizRvZmYmAEuXLuWpp56yuGdtbV2kMYo6T0xMjLEL+WalSpUyfnZwcPhL49/68jmTyWQ8g8zMTEJDQ5k+fXqefgW99K5fv36EhISwZcsWPv/8c6ZOncrs2bN54403ivxZ3U6vXr04f/48sbGxVKpUCVtbW4KCgrh69Wqh/Yr6LG9ma2uLra3tHccoIiIiIiIi8ndSQlhEHhvu7u5GbVmAjIwMfv7553sydmpqKv/9738pX748AF9//TVWVlZUr16dcuXKUb58eX766SfCw8PvyXz5qV+/PidPnqRatWp31M/f35/ExESL0hWJiYnUrFnzjuZev349Pj4+lChR9L9avLy8GDBgAAMGDGDMmDEsXbqUN954A3d3dy5evMilS5eMBHZSUlKRx70hMTGRhQsX0rZtWwDOnDmT50V3JUuWJCcnJ896/sqzFBEREREREXnQKSEsIo+N5s2bEx8fT2hoKK6urowbN+6e7dAtVaoUvXr1YtasWWRkZPDmm2/SuXNni/q+b775Ji4uLrRu3ZqsrCwOHTrEn3/+ybBhw+5JDOPGjaN9+/Z4e3vz0ksvYWVlxdGjRzl+/DiTJk0qsN+IESPo3LkzgYGBtGzZkk8//ZQNGzYYL64rikGDBrF06VK6devGyJEjcXNz49SpU6xZs4Zly5bl+5wjIyNp06YNfn5+/Pnnn+zatQt/f38AnnrqKezt7fnHP/7Bm2++yf79+4mPj7/jZ+Lr68vKlStp2LAhGRkZjBgxAjs7O4s2Pj4+7Ny5kyZNmmBra0vp0qX/8rMUESmKlGntijsEEREREXmMqYawiDw2xowZQ9OmTWnfvj3t2rUjLCyMqlWr3pOxq1WrRqdOnWjbti3PP/88derUYeHChcb9fv36sWzZMuLi4ggICKBp06bEx8dTuXLlezI/QEhICJs3b+bzzz+nUaNGPP3008ydO5dKlSoV2i8sLIzY2FhmzZpFrVq1WLx4MXFxcQQHBxd57vLly5OYmEhOTg7PP/88AQEBREZG4urqipVV/n/V5OTkMGjQIPz9/WndujV+fn7GM3Nzc+ODDz5g69atBAQE8OGHHxIdHV3keG547733+PPPP6lfvz49evTgzTffpGzZshZtZs+ezRdffIGXlxeBgYHAX3+WIiIiIiIiIg86k/nWIo0iIiJy1zIyMnBxcSE9PR1nZ+fiDkdEREREREQecUX9PVQ7hEVEREREREREREQeE0oIi4iIiIiIiIiIiDwmlBAWkTsWHBxMZGTkPR/Xx8eHefPmPTTjPqxxPEpMJhObNm0yzr///nuefvppSpUqRb169YotLhEREREREZEHlRLCInJfJSYmUqJECSXnHiEJCQmYTCYuXLhQ3KHkMX78eBwcHDh58iQ7d+4sUp/o6Gh9P0VEREREROSxUaK4AxCRe+Pq1avY2NgUdxgWLly4QM+ePWnRogW//fZbcYdToOzsbEqWLFncYcg9cPr0adq1a0elSpWKOxQRkQeSz+gt923slGnt7tvYIiIiInLvaIewyAMoODiYwYMHM3jwYFxcXHjiiScYO3YsZrPZaOPj48PEiRPp2bMnzs7OvPrqqwCsX7+eWrVqYWtri4+PD7Nnz7YY+0a/bt264eDgQIUKFfjnP/9p3O/Tpw/t27e36JOdnU3ZsmV577337mgdAwYMoHv37gQFBRW5z+XLl+nTpw9OTk54e3uzZMkS417z5s0ZPHiwRftz585hY2Nj7AY9e/YsoaGh2NnZUblyZVatWpVnDpPJxKJFi3jhhRdwcHBg8uTJACxatIiqVatiY2ND9erVWblypdGnT58+1KlTh6ysLOB6Aj4wMJCePXsWOTaAixcvFvjs4XoSvV+/fri7u+Ps7Ezz5s05evSocf/GbtaVK1fi4+ODi4sLXbt25eLFiwCkpKRgMpnyHMHBwcYYt/uOrFy5koYNG+Lk5ISHhwfdu3fn7NmzxvjNmjUDoHTp0phMJiIiIgDIzc1l6tSpVK5cGTs7O+rWrcu6devyPP+bLVy4EF9fX0qVKkW5cuV46aWXjHv5ldioV68e0dHR+Y5lMpk4fPgwEyZMwGQyGe1GjRqFn58f9vb2VKlShbFjx5KdnQ1AfHw8MTExHD161HhW8fHxRfosRERERERERB5GSgiLPKCWL19OiRIlOHDgALGxscyZM4dly5ZZtJk1axZ169blyJEjjB07lsOHD9O5c2e6du3KsWPHiI6OZuzYsUaC64aZM2ca/UaPHs2QIUP44osvAOjXrx/btm0jLS3NaL9582YuX75Mly5dihx/XFwcP/30E+PHj7+jdc+ePZuGDRty5MgRBg4cyOuvv87JkyeN2FavXm0kZQE++OADKlSoQPPmzQGIiIjgzJkz7Nq1i3Xr1rFw4UIjmXmz6OhoOnbsyLFjx+jTpw8bN25kyJAhDB8+nOPHj/Paa6/Ru3dvdu3aBcD8+fO5dOkSo0ePBuCtt97iwoULLFiwoMixQeHPHuDll1/m7NmzfPbZZxw+fJj69evTokUL/vjjD6PN6dOn2bRpE5s3b2bz5s3s3r2badOmAeDl5UVaWppxHDlyhDJlyvDcc88BFOk7kp2dzcSJEzl69CibNm0iJSXFSPp6eXmxfv16AE6ePElaWhqxsbEATJ06lRUrVvDuu+/y3XffMXToUF555RV2796d72d96NAh3nzzTSZMmMDJkyfZtm2bEedfkZaWRq1atRg+fDhpaWlERUUB4OTkRHx8PCdOnCA2NpalS5cyd+5cALp06cLw4cOpVauW8cxufM+L8lncLCsri4yMDItDRERERERE5IFjFpEHTtOmTc3+/v7m3Nxc49qoUaPM/v7+xnmlSpXMYWFhFv26d+9ubtWqlcW1ESNGmGvWrGnRr3Xr1hZtunTpYm7Tpo1xXrNmTfP06dON89DQUHNERIRFfEOGDCkw/h9++MFctmxZ88mTJ81ms9k8fvx4c926dQtZ8f8f2yuvvGKc5+bmmsuWLWtetGiR2Ww2m//3v/+ZS5cubV67dq3Rpk6dOubo6Giz2Ww2nzx50gyYDxw4YNxPTk42A+a5c+ca1wBzZGSkxdyNGzc29+/f3+Layy+/bG7btq1xvnfvXnPJkiXNY8eONZcoUcK8Z88e497tYruxvsKe/Z49e8zOzs7mK1euWLSpWrWqefHixWaz+fqztLe3N2dkZBj3R4wYYX7qqafMt/rf//5nfuqpp8zt27c35+TkmM3mon1HbnXw4EEzYL548aLZbDabd+3aZQbMf/75p9HmypUrZnt7e/PevXst+vbt29fcrVu3fMddv3692dnZ2WItN6tUqZLF52Y2m81169Y1jx8/3jgHzBs3bizwfn5mzpxpbtCggXGe3/ezKJ/FrcaPH28G8hzp6emFxiMi8neqNGrzfTtEREREpHilp6cX6fdQ7RAWeUA9/fTTmEwm4zwoKIgff/yRnJwc41rDhg0t+iQnJ9OkSROLa02aNMnT79YSDkFBQSQnJxvn/fr1Iy4uDoDffvuNzz77jD59+hQp7pycHLp3705MTAx+fn75tlm1ahWOjo7GsWfPHuNenTp1jJ9NJhMeHh7GDt9SpUrRo0cP3n//fQC++eYbjh8/buxeTU5OpkSJEjRo0MAYo0aNGri6uuaJoajP7ubnEhQURFRUFBMnTmT48OE888wzxr3bxXbzGLee35jj6NGjZGZmUqZMGYvn8/PPP3P69Gmjj4+PD05OTsa5p6dnvrug+/Tpw8WLF1m9ejVWVlaFrvPm78jhw4cJDQ3F29sbJycnmjZtCkBqamqeOW44deoUly9fplWrVhaxr1ixwiL2m7Vq1YpKlSpRpUoVevTowapVq7h8+XKBc/xVa9eupUmTJnh4eODo6Mjbb79d6Fqg6J/FzcaMGUN6erpxnDlz5p6vRURERERERORu6aVyIg8xBweH+zJuz549GT16NPv27WPv3r1UrlyZZ599tkh9L168yKFDhzhy5IhRUzc3Nxez2UyJEiX4/PPPeeGFF3jqqaeMPhUqVDB+vvXlbiaTidzcXOO8X79+1KtXj//85z/ExcXRvHnzv/QCsb/y7HJzc0lMTMTa2ppTp07luX+3sWVmZuLp6UlCQkKeezcntW/3jAAmTZrE9u3bOXDggEXy+HYuXbpESEgIISEhrFq1Cnd3d1JTUwkJCeHq1auFxg6wZcsWi88TwNbWNt8+Tk5OfPPNNyQkJPD5558zbtw4oqOjOXjwIK6urlhZWVnUzQaM2r9FtW/fPsLDw4mJiSEkJAQXFxfWrFmTp25yfuspymdxM1tb2wLXKiIiIiIiIvKgUEJY5AG1f/9+i/Ovv/4aX19frK2tC+zj7+9PYmKixbXExET8/Pws+n399dd5xvb39zfOy5QpQ1hYGHFxcezbt4/evXsXOW5nZ2eOHTtmcW3hwoX8+9//Zt26dVSuXBkHB4c7SlLeLCAggIYNG7J06VJWr15t1PCF67uBr127xuHDh2nUqBFwvc7thQsXbjvujWfXq1cv41piYiI1a9Y0zmfOnMn333/P7t27CQkJIS4uzuLZFBbbDYU9+/r16/Prr79SokQJfHx8ivQ88rN+/XomTJjAZ599RtWqVfNd581u/o58//33nD9/nmnTpuHl5QVcr/V7MxsbGwCLXec1a9bE1taW1NRUY0dxUZQoUYKWLVvSsmVLxo8fj6urK//+97/p1KkT7u7uFrWsMzIy+Pnnn4s8NsDevXupVKkSb731lnHtl19+ybOem9cC9+6zEBEREREREXnQKCEs8oBKTU1l2LBhvPbaa3zzzTe88847t93VOHz4cBo1asTEiRPp0qUL+/btY8GCBSxcuNCiXWJiIjNmzCAsLIwvvviCjz/+mC1btli06devH+3btycnJ8ciSXo7VlZW1K5d2+Ja2bJlKVWqVJ7rf1W/fv0YPHgwDg4OdOzY0bhevXp1WrduzWuvvcaiRYsoUaIEkZGR2NnZ3XbMESNG0LlzZwIDA2nZsiWffvopGzZsYMeOHQAcOXKEcePGsW7dOpo0acKcOXMYMmQITZs2pUqVKreN7YbCnn3Lli0JCgoiLCyMGTNm4Ofnx3//+1+2bNlCx44d85S5yM/x48fp2bMno0aNolatWvz666/A9aSnm5vbbb8j3t7e2NjY8M477zBgwACOHz/OxIkTLeaoVKkSJpOJzZs307ZtW+zs7HByciIqKoqhQ4eSm5vLM888Q3p6OomJiTg7O+f7Hdq8eTM//fQTzz33HKVLl2br1q3k5uZSvXp1AJo3b058fDyhoaG4uroybty4Qv9BJD++vr6kpqayZs0aGjVqxJYtW9i4caNFGx8fH37++WeSkpKoWLEiTk5O9+SzEBF5EKVMa1fcIYiIiIhIcftbKhqLyB1p2rSpeeDAgeYBAwaYnZ2dzaVLlzb/4x//sHjJXH4v3DKbzeZ169aZa9asaS5ZsqTZ29vbPHPmTIv7lSpVMsfExJhffvlls729vdnDw8McGxubZ5zc3FxzpUqVLF6qdnN8hb1U7lZ38lK5271EzGw2my9evGi2t7c3Dxw4MM8YaWlp5nbt2pltbW3N3t7e5hUrVuQZl1teRHbDwoULzVWqVDGXLFnS7OfnZ16xYoXZbL7+craaNWuaX331VYv2L7zwgrlx48bma9euFSm2ojz7jIwM8xtvvGEuX768uWTJkmYvLy9zeHi4OTU11Ww25/8s586da65UqZLZbDab4+Li8n2xWdOmTY32t/uOrF692uzj42O2tbU1BwUFmT/55BMzYD5y5IjRZsKECWYPDw+zyWQy9+rVy2w2X//OzJs3z1y9enVzyZIlze7u7uaQkBDz7t278zwLs/n6i9uaNm1qLl26tNnOzs5cp04di5fypaenm7t06WJ2dnY2e3l5mePj4//SS+VGjBhhLlOmjNnR0dHcpUsX89y5c80uLi7G/StXrphffPFFs6urqxkwx8XFFemzuJ2iFvMXERERERERuReK+nuoyWy+pUCjiBS74OBg6tWrx7x58+752D4+PkRGRhIZGVlou8zMTCpUqEBcXBydOnW653HcjZSUFKpWrcrBgwepX79+cYdj4UGOTf5eGRkZuLi4kJ6ejrOzc3GHIyIiIiIiIo+4ov4eqpIRImIhNzeX33//ndmzZ+Pq6soLL7xQ3CEZsrOzOX/+PG+//TZPP/30A5VwfZBjExERERERERG5QQlhEbGQmppK5cqVqVixIvHx8ZQo8eD8MZGYmEizZs3w8/Nj3bp1xR2OhQc5NhERERERERGRG1QyQkTkEXK35UZSUlKoXLkyR44coV69en9pzqKWJXnUqWSEiIiIiIiI/J1UMkJE5DG0YcMGSpYsWawxHDx4EAcHh7saIyEhgblz53LgwAEyMjLw9fVlxIgRhIeH36MoRURERERERB5PSgiLiDxC3NzcijsE3N3d73qMvXv3UqdOHUaNGkW5cuXYvHkzPXv2xMXFhfbt29+DKEVEHk8+o7cUdwj5SpnWrrhDEBEREXlsWBV3ACIicu8EBwcbpRp8fHyYMmUKffr0wcnJCW9vb5YsWWLR/sCBAwQGBlKqVCkaNmzIkSNH8oy5e/dunnzySWxtbfH09GT06NFcu3atwBh8fHwsSlaYTCaWLVtGx44dsbe3x9fXl08++aTQdfzjH/9g4sSJNG7cmKpVqzJkyBBat27Nhg0bbvsMFi1aRNWqVbGxsaF69eqsXLnS4n5R4jl+/Dht2rTB0dGRcuXK0aNHD37//ffbzi0iIiIiIiLyoFNCWETkETZ79mwj0Ttw4EBef/11Tp48CUBmZibt27enZs2aHD58mOjoaKKioiz6/7//9/9o27YtjRo14ujRoyxatIj33nuPSZMm3VEcMTExdO7cmW+//Za2bdsSHh7OH3/8cUdjpKen33YH9MaNGxkyZAjDhw/n+PHjvPbaa/Tu3Ztdu3YVOZ4LFy7QvHlzAgMDOXToENu2beO3336jc+fOhc6dlZVFRkaGxSEiIiIiIiLyoFFCWETkEda2bVsGDhxItWrVGDVqFE888YSRHF29ejW5ubm899571KpVi/bt2zNixAiL/gsXLsTLy4sFCxZQo0YNwsLCiImJYfbs2eTm5hY5joiICLp160a1atWYMmUKmZmZHDhwoMj9P/roIw4ePEjv3r0LbTdr1iwiIiIYOHAgfn5+DBs2jE6dOjFr1qwix7NgwQICAwOZMmUKNWrUIDAwkPfff59du3bxww8/FDj31KlTcXFxMQ4vL68ir09ERERERETk76KEsIjII6xOnTrGzyaTCQ8PD86ePQtAcnIyderUoVSpUkaboKAgi/7JyckEBQVhMpmMa02aNCEzM5P//Oc/fykOBwcHnJ2djThq1aqFo6Mjjo6OtGnTJk/fXbt20bt3b5YuXUqtWrUA2LNnj9HH0dGRVatWGfE2adLEon+TJk1ITk4ucjxHjx5l165dFuPXqFEDgNOnTxe4xjFjxpCenm4cZ86cKfLzEREREREREfm76KVyIiKPsJIlS1qcm0ymO9rZ+3fEsXXrVrKzswGws7OzaLd7925CQ0OZO3cuPXv2NK43bNiQpKQk47xcuXL3LJ7MzExCQ0OZPn16nn6enp4Fjmlra4utre0dxSEiIiIiIiLyd1NCWETkMeXv78/KlSu5cuWKsUv466+/ztNm/fr1mM1mY5dwYmIiTk5OVKxY8Z7EUalSpXyvJyQk0L59e6ZPn86rr75qcc/Ozo5q1arl6ePv709iYiK9evUyriUmJlKzZs0ix1O/fn3Wr1+Pj48PJUror0kRERERERF5tOg3XRGRx1T37t1566236N+/P2PGjCElJSVPrd2BAwcyb9483njjDQYPHszJkycZP348w4YNw8rq/lUd2rVrF+3bt2fIkCG8+OKL/PrrrwDY2NgU+mK5ESNG0LlzZwIDA2nZsiWffvopGzZsYMeOHUWee9CgQSxdupRu3boxcuRI3NzcOHXqFGvWrGHZsmVYW1vf9fpERIpLyrR2xR2CiIiIiBQz1RAWEXlMOTo68umnn3Ls2DECAwN566238pRJqFChAlu3buXAgQPUrVuXAQMG0LdvX95+++37Gtvy5cu5fPkyU6dOxdPT0zg6depUaL+wsDBiY2OZNWsWtWrVYvHixcTFxREcHFzkucuXL09iYiI5OTk8//zzBAQEEBkZiaur631NgouIiIiIiIj8HUxms9lc3EGIiIg8ajIyMnBxcSE9PR1nZ+fiDkdEREREREQecUX9PVRbnUREREREREREREQeE0oIi4iIiIiIiIiIiDwmlBAWEXmABAcHExkZWexjREREEBYWdldjPEh8fHyYN29eoW1MJhObNv1/7N19eM/1////62tj52c2sxPGnMwMw8ZoJMvZnC2iSMKci6XREhU5n3IS5Z1EbUiNcprT2MecjLfTiLaGZU29V+Rka2TY9vvDz/Pr5XROaqrb5Thex7Hn83F2fzxfDh27e3R/rvhL4hEREREREREpLiWKOwARkX+jpKQknnzySc6ePYuLi0txh/OPt2fPHuzt7Ys7DBEREREREZFip4SwiIg8ki5duoSVldVDmcvd3f2hzCMi8nfnO2JNcYcgf4GMyW2LOwQRERF5hKlkhIjIn6CgoIDY2FgqVqyIra0ttWvX5ssvvwQgIyODJ598EoBSpUphMpmIjIw0Gzt8+HBcXV3x9PRkzJgxRlvv3r1p166d2VqXL1+mTJkyfPzxx0WOb8KECZQpUwZHR0f69u3LiBEjqFOnzm3736rkQp06dcxiO3fuHAMGDMDDwwMbGxtq1qzJ6tWrARgzZsxN88+YMQNfX1/j+lqZiokTJ+Lt7Y2/vz8Ahw4domnTptja2uLm5kb//v3Jzc29adzUqVPx8vLCzc2NwYMHc/ny5dvGf/ToUZ544glsbGyoXr06GzduvGnPJ06coHPnzri4uODq6kr79u3JyMi47TMSERERERER+TvQCWERkT9BbGwsn376KR9++CF+fn5s3bqVF154AXd3dx5//HGWLl1Kp06dSEtLw8nJCVtbW2Ps/PnzGTZsGLt27WLnzp1ERkbSqFEjWrRoQd++fXniiSfIysrCy8sLgNWrV3PhwgW6dOlSpNgWLVrExIkT+eCDD2jUqBEJCQlMmzaNihUr3vd+CwoKaN26Nb///juffvoplStXJiUlBUtLy3uaJzExEScnJyNBe/78ecLDwwkNDWXPnj2cPHmSvn37EhUVRXx8vDFu8+bNeHl5sXnzZo4dO0aXLl2oU6cO/fr1u2WsHTt2xMPDg127dpGdnX1TzeXLly8b627bto0SJUowYcIEWrVqxbfffnvLk8t5eXnk5eUZ1zk5Ofe0dxEREREREZG/ghLCIiIPWV5eHpMmTWLTpk2EhoYCUKlSJbZv386cOXNo0qQJrq6uAJQpU+amGsK1atXirbfeAsDPz49Zs2aRmJhIixYtaNiwIf7+/ixcuJDhw4cDEBcXx7PPPouDg0OR4nv//ffp06cPvXr1AmD06NF8/fXXZqdu79WmTZvYvXs3qampVK1a1djzvbK3t2fevHlGwnXu3LlcvHiRBQsWGDWAZ82aRUREBG+//TYeHh7A1ZPWs2bNwtLSkmrVqtG2bVsSExNvmRDetGkT33//PRs2bMDb2xuASZMm0bp1a6PP4sWLKSgoYN68eZhMJuDqc3ZxcSEpKYmWLVveNG9sbCxjx4695z2LiIiIiIiI/JVUMkJE5CE7duwYFy5coEWLFjg4OBifBQsWkJ6eftfxtWrVMrv28vLi5MmTxnXfvn2Ji4sD4Ndff2XdunX07t27yPGlpaVRv359s3s3Xt+rAwcOUK5cOSMZfL8CAwPNTt+mpqZSu3ZtsxfCNWrUiIKCAtLS0ox7NWrUMDuNfOMzu15qaio+Pj5GMhgwEvfXHDx4kGPHjuHo6Gh8f66urly8ePG23+HIkSPJzs42PidOnLi3zYuIiIiIiIj8BXRCWETkIbt20nbNmjWULVvWrM3a2vqu40uWLGl2bTKZKCgoMK579OjBiBEj2LlzJzt27KBixYo0btz4IUR+exYWFhQWFprdu75G7/UlL+5n/DXXJ37vxd2e2b3Kzc2lbt26LFq06Ka2272gztraukjfr4iIiIiIiEhxUkJYROQhq169OtbW1mRmZtKkSZNb9rl2CjY/P/+e53dzc6NDhw7ExcWxc+dOo/RDUfn7+7Nnzx569Ohh3NuzZ88dx7i7u5OVlWVc5+TkcPz4ceO6Vq1a/PTTTxw5cuSWp4Td3d355ZdfKCwsNEowHDhw4K6xBgQEEB8fz/nz541kcXJyMhYWFsZL5+5VQEAAJ06cMKvD/N///tesT3BwMIsXL6ZMmTI4OTnd1zoiIo+ijMltizsEERERESlmKhkhIvKQOTo6EhMTw9ChQ5k/fz7p6ens37+f999/n/nz5wNQoUIFTCYTq1ev5tSpU/dcv7dv377Mnz+f1NRUevbseU9jX3rpJT7++GPmz5/P0aNHmTBhAt9++62RqL2Vpk2bsnDhQrZt28ahQ4fo2bOnWYmGJk2a8MQTT9CpUyc2btzI8ePHWbduHevXrwcgLCyMU6dO8c4775Cens5//vMf1q1bd9dYu3Xrho2NDT179uTw4cNs3ryZl156ie7duxv1g+9V8+bNqVq1Kj179uTgwYNs27aNN95446Z1S5cuTfv27dm2bRvHjx8nKSmJIUOG8NNPP93XuiIiIiIiIiKPAiWERUT+BOPHj2fUqFHExsYSEBBAq1atWLNmDRUrVgSgbNmyjB07lhEjRuDh4UFUVNQ9zd+8eXO8vLwIDw83q4VbFN26dWPkyJHExMQQHBzM8ePHiYyMxMbG5rZjRo4cSZMmTWjXrh1t27alQ4cOVK5c2azP0qVLCQkJoWvXrlSvXp3hw4cbJ6ADAgL44IMP+M9//kPt2rXZvXs3MTExd43Vzs6ODRs2cObMGUJCQnjmmWdo1qwZs2bNuqc9X8/CwoLly5fzxx9/UL9+ffr27cvEiRNvWnfr1q2UL1+ejh07EhAQQJ8+fbh48aJODIuIiIiIiMjfmqnwxqKOIiLyyMvNzaVs2bLExcXRsWPHB56vRYsWeHp6snDhwocQncDVshrOzs5kZ2criSwiIiIiIiJ/uqL+HqoawiIifyMFBQX89ttvTJs2DRcXF5566ql7nuPChQt8+OGHhIeHY2lpyeeff86mTZvYuHHjnxCxiIiIiIiIiDxKVDJCRORvJDMzEw8PDz777DM++eQTSpS493/XM5lMrF27lieeeIK6devy1VdfsXTpUpo3b/7A8Y0ZM4Y6deoU+xwiIiIiIiIicmtKCIuI/I1kZmbSrl078vPzad68OStWrLjnOWxtbdm0aROnT5/m/Pnz7N+//77KTphMpvta/1Gi5LOIiIiIiIj826hkhIjI38j58+epXbs2vXv3fii1g/+pLl26hJWVVXGHISLyyPEdsaa4Q5AbZExuW9whiIiIyL+MTgiLiPyNtG7dmgkTJvD0008XeYzJZGLOnDm0a9cOOzs7AgIC2LlzJ8eOHSMsLAx7e3saNmxIenq62biVK1cSHByMjY0NlSpVYuzYsVy5cgUAX19fAJ5++mlMJpNxfc3ChQvx9fXF2dmZ5557jt9//x2ABQsW4ObmRl5enln/Dh060L1791vGHxYWRnR09E39IyMjjWtfX1/Gjx9Pjx49cHJyon///gC89tprVK1aFTs7OypVqsSoUaO4fPkyAPHx8YwdO5aDBw9iMpkwmUzEx8cDcO7cOfr27Yu7uztOTk40bdqUgwcPFul5i4iIiIiIiDzKlBAWEfkXuJYsPXDgANWqVeP5559nwIABjBw5kr1791JYWEhUVJTRf9u2bfTo0YOXX36ZlJQU5syZQ3x8PBMnTgRgz549AMTFxZGVlWVcA6Snp7NixQpWr17N6tWr2bJlC5MnTwbg2WefJT8/n1WrVhn9T548yZo1a+jdu/cD7XHq1KnUrl2bb775hlGjRgHg6OhIfHw8KSkpzJw5k7lz5/Luu+8C0KVLF1555RVq1KhBVlYWWVlZdOnSxYjz5MmTrFu3jn379hEcHEyzZs04c+bMA8UoIiIiIiIiUtyUEBYR+Rfo1asXnTt3pmrVqrz22mtkZGTQrVs3wsPDCQgI4OWXXyYpKcnoP3bsWEaMGEHPnj2pVKkSLVq0YPz48cyZMwcAd3d3AFxcXPD09DSuAQoKCoiPj6dmzZo0btyY7t27k5iYCFytX/z8888TFxdn9P/0008pX748YWFhD7THpk2b8sorr1C5cmUqV64MwJtvvknDhg3x9fUlIiKCmJgYlixZYsTi4OBAiRIl8PT0xNPTE1tbW7Zv387u3bv54osvqFevHn5+fkydOhUXFxe+/PLL266fl5dHTk6O2UdERERERETkUaMawiIi/xCTJk1i0qRJxnVKSgrly5cHoFatWsZ9Dw8PAAIDA83uXbx4kZycHJycnDh48CDJycnGiWCA/Px8Ll68yIULF7Czs7ttHL6+vjg6OhrXXl5enDx50rju168fISEh/Pzzz5QtW5b4+HgiIyMxmUwPsHuoV6/eTfcWL17Me++9R3p6Orm5uVy5cgUnJ6c7znPw4EFyc3Nxc3Mzu//HH3/cVFbjerGxsYwdO/b+ghcRERERERH5iyghLCLyDzFw4EA6d+5sXHt7exs/lyxZ0vj5WuL1VvcKCgoAyM3NZezYsbd8cZ2Njc0d47h+3mtzX5sXICgoiNq1a7NgwQJatmzJd999x5o1t3/JkYWFBYWFhWb3rtUBvp69vb3Z9c6dO+nWrRtjx44lPDwcZ2dnEhISmDZt2h3jz83NxcvLy+zE9DUuLi63HTdy5EiGDRtmXOfk5ODj43PHtURERERERET+akoIi4j8Q7i6uuLq6vpQ5goODiYtLY0qVarctk/JkiXJz8+/r/n79u3LjBkz+Pnnn2nevPkdE6fu7u5kZWUZ1/n5+Rw+fJgnn3zyjmvs2LGDChUq8MYbbxj3fvzxR7M+VlZWN+0hODiYX375hRIlStz0srw7sba2xtrausj9RURERERERIqDEsIiIn8jubm5HDt2zLg+fvw4Bw4cwNXV1SgP8TCMHj2adu3aUb58eZ555hksLCw4ePAghw8fZsKECcDV0hCJiYk0atQIa2trSpUqVeT5n3/+eWJiYpg7dy4LFiy4Y9+mTZsybNgw1qxZQ+XKlZk+fTrnzp276xp+fn5kZmaSkJBASEgIa9asYfny5WZ9fH19jWdYrlw5HB0dad68OaGhoXTo0IF33nmHqlWr8r///Y81a9bw9NNP37I0hYjI30XG5LbFHYKIiIiIFDO9VE5E5G9k7969BAUFERQUBMCwYcMICgpi9OjRD3Wd8PBwVq9ezddff01ISAiPPfYY7777LhUqVDD6TJs2jY0bN+Lj42PEU1TOzs506tQJBwcHOnTocMe+vXv3pmfPnvTo0YMmTZpQqVKlu54OBnjqqacYOnQoUVFR1KlThx07djBq1CizPp06daJVq1Y8+eSTuLu78/nnn2MymVi7di1PPPEEvXr1omrVqjz33HP8+OOPRv1lERERERERkb8rU+GNhRlFRET+As2aNaNGjRq89957xR3KnyInJwdnZ2eys7Pv+iI7ERERERERkQdV1N9DVTJCRET+UmfPniUpKYmkpCQ++OCD4g5HRERERERE5F9FCWEREflLBQUFcfbsWd5++238/f2LOxwRERERERGRfxXVEBYR+YuNGTOGOnXqPPA8vr6+zJgx4y9f90FlZGSQnZ1NTExMcYciIiIiIiIi8q+jhLCI/GvFxsYSEhKCo6MjZcqUoUOHDqSlpf3p68bExJCYmPinr/NnOH36NK1atcLb2xtra2t8fHyIiooiJyenuEO75wT5NWFhYURHRz/0eEREREREREQeRSoZISL/Wlu2bGHw4MGEhIRw5coVXn/9dVq2bElKSgr29vZ/2roODg44ODj8afP/mSwsLGjfvj0TJkzA3d2dY8eOMXjwYM6cOcNnn31W3OGJiPxj+Y5Y81DmyZjc9qHMIyIiIiJ/XzohLCL/WuvXrycyMpIaNWpQu3Zt4uPjyczMZN++fXccd/bsWXr06EGpUqWws7OjdevWHD16FIBTp07h6enJpEmTjP47duzAysrKOBV8Y+mGyMhIOnTowNSpU/Hy8sLNzY3Bgwdz+fJlo8/JkyeJiIjA1taWihUrsmjRopviyszMpH379jg4OODk5ETnzp359ddf77iXefPmERAQgI2NDdWqVbvrS95KlSrFiy++SL169ahQoQLNmjVj0KBBbNu27Y7j9uzZQ4sWLShdujTOzs40adKE/fv3m/U5d+4cAwYMwMPDAxsbG2rWrMnq1auN9u3bt9O4cWNsbW3x8fFhyJAhnD9/Hrh6yvfHH39k6NChmEwmTCYTcPVEc9euXSlbtix2dnYEBgby+eefG3NGRkayZcsWZs6caYzLyMgA4PDhw7Ru3RoHBwc8PDzo3r07v/322x33KSIiIiIiIvKoU0JYROT/l52dDYCrq+sd+0VGRrJ3715WrVrFzp07KSwspE2bNly+fBl3d3c++eQTxowZw969e/n999/p3r07UVFRNGvW7LZzbt68mfT0dDZv3sz8+fOJj48nPj7ebM0TJ06wefNmvvzySz744ANOnjxptBcUFNC+fXvOnDnDli1b2LhxIz/88ANdunS57ZqLFi1i9OjRTJw4kdTUVCZNmsSoUaOYP39+EZ8Y/O9//2PZsmU0adLkjv1+//13evbsyfbt2/nvf/+Ln58fbdq04ffffzfib926NcnJyXz66aekpKQwefJkLC0tAUhPT6dVq1Z06tSJb7/9lsWLF7N9+3aioqIAWLZsGeXKlWPcuHFkZWWRlZUFwMWLF6lbty5r1qzh8OHD9O/fn+7du7N7924AZs6cSWhoKP369TPG+fj4cO7cOZo2bUpQUBB79+5l/fr1/Prrr3Tu3LnIz0ZERERERETkUaSSESIiXE1IRkdH06hRI2rWrHnbfkePHmXVqlUkJyfTsGFD4Gpi1cfHhxUrVvDss8/Spk0b+vXrR7du3ahXrx729vbExsbecf1SpUoxa9YsLC0tqVatGm3btiUxMZF+/fpx5MgR1q1bx+7duwkJCQHg448/JiAgwBifmJjIoUOHOH78OD4+PgAsWLCAGjVqsGfPHmPc9d566y2mTZtGx44dAahYsSIpKSnMmTOHnj173jHerl27snLlSv744w8iIiKYN2/eHfs3bdrU7Pqjjz7CxcWFLVu20K5dOzZt2sTu3btJTU2latWqAFSqVMnoHxsbS7du3Yxav35+frz33ns0adKE2bNn4+rqiqWlJY6Ojnh6ehrjypYta/byupdeeokNGzawZMkS6tevj7OzM1ZWVtjZ2ZmNmzVrFkFBQWYnvT/55BN8fHw4cuSIEeP18vLyyMvLM64fhbrKIiIiIiIiIjfSCWEREWDw4MEcPnyYhIQE497AgQONer/Xav6mpqZSokQJGjRoYPRzc3PD39+f1NRU497UqVO5cuUKX3zxBYsWLcLa2vqO69eoUcM4DQvg5eVlnAC+tmbdunWN9mrVquHi4mJcp6am4uPjYySDAapXr46Li4tZXNecP3+e9PR0+vTpY7bHCRMmkJ6eDmCUS3BwcKBGjRpm4999913279/PypUrSU9PZ9iwYcDVshXXz3ctofrrr7/Sr18//Pz8cHZ2xsnJidzcXDIzMwE4cOAA5cqVu2WiFeDgwYPEx8ebzR0eHk5BQQHHjx+/7XPNz89n/PjxBAYG4urqioODAxs2bDDWvZ2DBw+yefNms/WqVasGYDyfG8XGxuLs7Gx8rv8uRERERERERB4VOiEsIv96UVFRrF69mq1bt1KuXDnj/rhx48xOl96L9PR0/ve//1FQUEBGRgaBgYF37F+yZEmza5PJREFBwX2tXRS5ubkAzJ071yy5DRiJ6Xnz5vHHH3/cMj5PT088PT2pVq0arq6uNG7cmFGjRuHt7c2BAweMftfKb/Ts2ZPTp08zc+ZMKlSogLW1NaGhoVy6dAkAW1vbu8Y7YMAAhgwZclNb+fLlbztuypQpzJw5kxkzZhAYGIi9vT3R0dHGundaLyIigrfffvumNi8vr1uOGTlypJEYh6snhJUUFhERERERkUeNEsIi8q9VWFjISy+9xPLly0lKSqJixYpm7WXKlKFMmTJm9wICArhy5Qq7du0ySkacPn2atLQ0qlevDsClS5d44YUX6NKlC/7+/vTt25dDhw7dNFdRVatWjStXrrBv3z6j9ENaWhrnzp0zi+vEiROcOHHCSEKmpKRw7tw5I67reXh44O3tzQ8//EC3bt1uuW7ZsmWLFN+1xHVeXh4lSpSgSpUqN/VJTk7mgw8+oE2bNgCcOHHC7AVttWrV4qeffrptOYbg4GBSUlJuOfc1VlZW5Ofn37Ru+/bteeGFF4xYjxw5YvZMbjUuODiYpUuX4uvrS4kSRftPpbW19V1PgouIiIiIiIgUNyWEReRfa/DgwXz22WesXLkSR0dHfvnlFwCcnZ1ve2LVz8+P9u3b069fP+bMmYOjoyMjRoygbNmytG/fHoA33niD7Oxs3nvvPRwcHFi7di29e/dm9erV9xWnv78/rVq1YsCAAcyePZsSJUoQHR1tFmPz5s0JDAykW7duzJgxgytXrjBo0CCaNGlCvXr1bjnv2LFjGTJkCM7OzrRq1Yq8vDz27t3L2bNnzU66Xm/t2rX8+uuvhISE4ODgwHfffcerr75Ko0aN8PX1ve0e/Pz8WLhwIfXq1SMnJ4dXX33VLP4mTZrwxBNP0KlTJ6ZPn06VKlX4/vvvMZlMtGrVitdee43HHnuMqKgo+vbti729PSkpKWzcuJFZs2YB4Ovry9atW3nuueewtramdOnS+Pn58eWXX7Jjxw5KlSrF9OnT+fXXX80Swr6+vuzatYuMjAwcHBxwdXVl8ODBzJ07l65duzJ8+HBcXV05duwYCQkJzJs3z6y8h4jIXyFjctviDkFERERE/iFUQ1hE/rVmz55NdnY2YWFheHl5GZ/FixffcVxcXBx169alXbt2hIaGUlhYyNq1aylZsiRJSUnMmDGDhQsX4uTkhIWFBQsXLmTbtm3Mnj37vmONi4vD29ubJk2a0LFjR/r372924thkMrFy5UpKlSrFE088QfPmzalUqdId99K3b1/mzZtHXFwcgYGBNGnShPj4+JtOSl/P1taWuXPn8vjjjxMQEMDQoUN56qmn7prs/vjjjzl79izBwcF0796dIUOG3HRieunSpYSEhNC1a1eqV6/O8OHDjZO7tWrVYsuWLRw5coTGjRsTFBTE6NGj8fb2NsaPGzeOjIwMKleujLu7OwBvvvkmwcHBhIeHExYWhqenJx06dDBbNyYmBktLS6pXr467uzuZmZl4e3uTnJxMfn4+LVu2JDAwkOjoaFxcXLCw0H86RURERERE5O/LVFhYWFjcQYiIiPzT5OTk4OzsTHZ2Nk5OTsUdjoiIiIiIiPzDFfX3UB1zEhEREREREREREfmXUEJYRERERERERERE5F9CCWERkWIUFhZGdHS0ce3r68uMGTOKJZYxY8ZQp06dYp/jTuLj43FxcTG799FHH+Hj44OFhUWxPTsRERERERGRv4sSxR2AiIj8P3v27MHe3v5PX8dkMrF8+fKbXrD2d5OTk0NUVBTTp0+nU6dOODs7F3dIIiIiIiIiIo80JYRFRB4h7u7uxR3C30pmZiaXL1+mbdu2eHl5FXc4Iv94viPWFHcI8oAyJrct7hBEREREpJipZISIyF/k/Pnz9OjRAwcHB7y8vJg2bdpNfW4sGWEymZgzZw7t2rXDzs6OgIAAdu7cybFjxwgLC8Pe3p6GDRuSnp5uNs/KlSsJDg7GxsaGSpUqMXbsWK5cuWKsAfD0009jMpmM62sWLlyIr68vzs7OPPfcc/z+++8ALFiwADc3N/Ly8sz6d+jQge7duxfpGZw9e5Zu3brh7u6Ora0tfn5+xMXFAZCUlITJZOLcuXNG/wMHDmAymcjIyLhprvj4eAIDAwGoVKmSWb/Zs2dTuXJlrKys8Pf3Z+HChWZjTSYT8+bN4+mnn8bOzg4/Pz9WrVpl1ufw4cO0bt0aBwcHPDw86N69O7/99luR9ikiIiIiIiLyqFJCWETkL/Lqq6+yZcsWVq5cyddff01SUhL79++/67jx48fTo0cPDhw4QLVq1Xj++ecZMGAAI0eOZO/evRQWFhIVFWX037ZtGz169ODll18mJSWFOXPmEB8fz8SJE4GrZSkA4uLiyMrKMq4B0tPTWbFiBatXr2b16tVs2bKFyZMnA/Dss8+Sn59vljg9efIka9asoXfv3kV6BqNGjSIlJYV169aRmprK7NmzKV26dJHG3qhLly5s2rQJgN27d5OVlYWPjw/Lly/n5Zdf5pVXXuHw4cMMGDCAXr16sXnzZrPxY8eOpXPnznz77be0adOGbt26cebMGQDOnTtH06ZNCQoKYu/evaxfv55ff/2Vzp0731esIiIiIiIiIo8KJYRFRP4Cubm5fPzxx0ydOpVmzZoRGBjI/PnzjVO7d9KrVy86d+5M1apVee2118jIyKBbt26Eh4cTEBDAyy+/TFJSktF/7NixjBgxgp49e1KpUiVatGjB+PHjmTNnDvD/ylK4uLjg6elpVqaioKCA+Ph4atasSePGjenevTuJiYkA2Nra8vzzzxsnegE+/fRTypcvT1hYWJGeQ2ZmJkFBQdSrVw9fX1+aN29OREREkcbeyNbWFjc3N2NPnp6eWFpaMnXqVCIjIxk0aBBVq1Zl2LBhdOzYkalTp5qNj4yMpGvXrlSpUoVJkyaRm5vL7t27AZg1axZBQUFMmjSJatWqERQUxCeffMLmzZs5cuTILePJy8sjJyfH7CMiIiIiIiLyqFFCWETkL5Cens6lS5do0KCBcc/V1RV/f/+7jq1Vq5bxs4eHB4BRKuHavYsXLxoJyIMHDzJu3DgcHByMT79+/cjKyuLChQt3XMvX1xdHR0fj2svLi5MnTxrX/fr14+uvv+bnn38GrpZtiIyMxGQy3XUfAC+++CIJCQnUqVOH4cOHs2PHjiKNuxepqak0atTI7F6jRo1ITU01u3f9c7W3t8fJycnY68GDB9m8ebPZM6xWrRrATeU5romNjcXZ2dn4+Pj4PMxtiYiIiIiIiDwUeqmciMgjrmTJksbP1xKvt7pXUFAAXD2NPHbsWDp27HjTXDY2NkVe69rc1+YFCAoKonbt2ixYsICWLVvy3XffsWZN0V8y1bp1a3788UfWrl3Lxo0badasGYMHD2bq1KlYWFz9N8rCwkKj/+XLl4s89726015zc3OJiIjg7bffvmnc7V5eN3LkSIYNG2Zc5+TkKCksIiIiIiIijxwlhEVE/gKVK1emZMmS7Nq1i/LlywNXX7B25MgRmjRp8lDXCg4OJi0tjSpVqty2T8mSJcnPz7+v+fv27cuMGTP4+eefad68+T0nPd3d3enZsyc9e/akcePGvPrqq0ydOtUoXZGVlUWpUqWAqy+Vu1cBAQEkJyfTs2dP415ycjLVq1cv8hzBwcEsXboUX19fSpQo2n8qra2tsba2vud4RURERERERP5KSgiLiPwFHBwc6NOnD6+++ipubm6UKVOGN954wzgV+zCNHj2adu3aUb58eZ555hksLCw4ePAghw8fZsKECcDV0hCJiYk0atQIa2trIwFbFM8//zwxMTHMnTuXBQsW3HNsdevWpUaNGuTl5bF69WoCAgIAqFKlCj4+PowZM4aJEydy5MgRpk2bdk/zw9WX93Xu3JmgoCCaN2/OV199xbJly4wX0BXF4MGDmTt3Ll27dmX48OG4urpy7NgxEhISmDdvHpaWlvccl8g/QcbktsUdgoiIiIiIPCDVEBYR+YtMmTKFxo0bExERQfPmzXn88cepW7fuQ18nPDyc1atX8/XXXxMSEsJjjz3Gu+++S4UKFYw+06ZNY+PGjfj4+BAUFHRP8zs7O9OpUyccHBzo0KHDPY21srJi5MiR1KpViyeeeAJLS0sSEhKAq6eWP//8c77//ntq1arF22+/bSSw70WHDh2YOXMmU6dOpUaNGsyZM4e4uLgiv/gOwNvbm+TkZPLz82nZsiWBgYFER0fj4uLypyTxRURERERERP4qpsLrizWKiIgUQbNmzahRowbvvfdecYfyyMrJycHZ2Zns7GycnJyKOxwRERERERH5hyvq76EqGSEiIkV29uxZkpKSSEpK4oMPPijucERERERERETkHikhLCIiRRYUFMTZs2d5++238ff3L+5wREREREREROQeqRCiiPxtRUZG3nMN2z9jjuIwZswY6tSp80BzJCUlYTKZOHfuXJHHZGRkkJ2dTUxMTJH6mkwmDhw4YNxLTk4mMDCQkiVLFttzHzVqFP379y9y/0uXLuHr68vevXv/xKhERERERERE/hpKCIvILc2ePZtatWrh5OSEk5MToaGhrFu3rlhiuVVi8e/i7xz7n2HYsGHUqVOH48ePEx8fX6QxDzNp/8svvzBz5kzeeOMN415sbCwhISE4OjpSpkwZOnToQFpamtFuZWVFTEwMr7322kOJQURERERERKQ4qWSEiNxSuXLlmDx5Mn5+fhQWFjJ//nzat2/PN998Q40aNYo7PPmbSk9PZ+DAgZQrV65Y1p83bx4NGzakQoUKxr0tW7YwePBgQkJCuHLlCq+//jotW7YkJSUFe3t7ALp168Yrr7zCd999pz//IvK35jtizQONz5jc9iFFIiIiIiLFRSeEReSWIiIiaNOmDX5+flStWpWJEyfi4ODAf//739uOuXYadsmSJTRu3BhbW1tCQkI4cuQIe/bsoV69ejg4ONC6dWtOnTplNnbevHkEBARgY2NDtWrVzF5YVrFiReBq/VqTyURYWJjZ2KlTp+Ll5YWbmxuDBw/m8uXLAIwbN46aNWveFGedOnUYNWpUkZ9FcnIyYWFh2NnZUapUKcLDwzl79iwA69ev5/HHH8fFxQU3NzfatWtHenp6kWK/054BfvrpJ7p27Yqrqyv29vbUq1ePXbt2mfVZuHAhvr6+ODs789xzz/H7778bbXl5eQwZMoQyZcpgY2PD448/zp49e4q878LCQsaMGUP58uWxtrbG29ubIUOGGO0mk4kVK1aYjXFxcbnlyd9rfzZOnz5N7969MZlMxMfHk5+fT58+fahYsSK2trb4+/szc+ZMY9yYMWOYP38+K1euxGQyYTKZSEpKAuDEiRN07twZFxcXXF1dad++PRkZGXfcU0JCAhEREWb31q9fT2RkJDVq1KB27drEx8eTmZnJvn37jD6lSpWiUaNGJCQkFO3hiYiIiIiIiDyilBAWkbvKz88nISGB8+fPExoaetf+b731Fm+++Sb79++nRIkSPP/88wwfPpyZM2eybds2jh07xujRo43+ixYtYvTo0UycOJHU1FQmTZrEqFGjmD9/PgC7d+8GYNOmTWRlZbFs2TJj7ObNm0lPT2fz5s3Mnz+f+Ph4IyHZu3dvUlNTzZKg33zzDd9++y29evUq0t4PHDhAs2bNqF69Ojt37mT79u1ERESQn58PwPnz5xk2bBh79+4lMTERCwsLnn76aQoKCu4Y+932nJubS5MmTfj5559ZtWoVBw8eZPjw4ca8cPW07YoVK1i9ejWrV69my5YtTJ482WgfPnw4S5cuZf78+ezfv58qVaoQHh7OmTNnirT3pUuX8u677zJnzhyOHj3KihUrCAwMLNLYG/n4+JCVlYWTkxMzZswgKyuLLl26UFBQQLly5fjiiy9ISUlh9OjRvP766yxZsgSAmJgYOnfuTKtWrcjKyiIrK4uGDRty+fJlwsPDcXR0ZNu2bSQnJ+Pg4ECrVq24dOnSLWM4c+YMKSkp1KtX746xZmdnA+Dq6mp2v379+mzbtu224/Ly8sjJyTH7iIiIiIiIiDxqVDJCRG7r0KFDhIaGcvHiRRwcHFi+fDnVq1e/67iYmBjCw8MBePnll+natSuJiYk0atQIgD59+pidIn3rrbeYNm0aHTt2BK6eqk1JSWHOnDn07NkTd3d3ANzc3PD09DRbq1SpUsyaNQtLS0uqVatG27ZtSUxMpF+/fpQrV47w8HDi4uIICQkBIC4ujiZNmlCpUqUiPYN33nmHevXqmZ3evb5kQKdOncz6f/LJJ7i7u5OSkkLNmjVvG/vd9vzZZ59x6tQp9uzZYyQmq1SpYrZWQUEB8fHxODo6AtC9e3cSExOZOHEi58+fZ/bs2cTHx9O6dWsA5s6dy8aNG/n444959dVX77r3zMxMPD09ad68OSVLlqR8+fLUr1+/SM/tRpaWlnh6emIymXB2djZ7FmPHjjV+rlixIjt37mTJkiV07twZBwcHbG1tycvLMxvz6aefUlBQwLx58zCZTMDV79bFxYWkpCRatmx5y/0UFhbi7e192zgLCgqIjo6mUaNGN50u9/b25scff7zt2NjYWLO9iIiIiIiIiDyKdEJYRG7L39+fAwcOsGvXLl588UV69uxJSkoKAAMHDsTBwcH4XK9WrVrGzx4eHgBmJ0s9PDw4efIkcPWEbXp6On369DGbb8KECWalF26nRo0aWFpaGtdeXl7G3AD9+vXj888/5+LFi1y6dInPPvuM3r17F/kZXDshfDtHjx6la9euVKpUCScnJ3x9fYGrycfbKcqeDxw4QFBQ0E2nVK/n6+trJIPBfO/p6elcvnzZSMIDlCxZkvr165OamlqkvT/77LP88ccfVKpUiX79+rF8+XKuXLlSpLH34j//+Q9169bF3d0dBwcHPvroozs+P4CDBw9y7NgxHB0djefn6urKxYsXb/vn5o8//gDAxsbmtvMOHjyYw4cP37I0hK2tLRcuXLjt2JEjR5KdnW18Tpw4ccc9iIiIiIiIiBQHnRAWkduysrIyTqXWrVuXPXv2MHPmTOZ6fYSmAAEAAElEQVTMmcO4ceOIiYm55biSJUsaP187vXnjvWulD3Jzc4Grp1cbNGhgNs/1id7buX7eG+eGq7WQra2tWb58OVZWVly+fJlnnnnmrvNeY2tre8f2iIgIKlSowNy5c/H29qagoICaNWvetmwBFG3Pd1sX7r73B+Xj40NaWhqbNm1i48aNDBo0iClTprBlyxZKliyJyWSisLDQbMy1+s1FlZCQQExMDNOmTSM0NBRHR0emTJlyU63kG+Xm5lK3bl0WLVp0U9u1U9k3Kl26NABnz569ZZ+oqChWr17N1q1bb/nSuzNnztx2bgBra2usra3vGLeIiIiIiIhIcVNCWESKrKCggLy8PADKlClDmTJlHnhODw8PvL29+eGHH+jWrdst+1hZWQEYdXvvRYkSJejZsydxcXFYWVnx3HPPFSnZek2tWrVITEy8ZSmA06dPk5aWxty5c2ncuDEA27dvv2vsRdlzrVq1mDdvHmfOnLnjKeHbqVy5MlZWViQnJ1OhQgXgarJ2z549REdHF3keW1tbIiIiiIiIYPDgwVSrVo1Dhw4RHByMu7s7WVlZRt+jR4/e8QTtrSQnJ9OwYUMGDRpk3LvxhK+VldVN331wcDCLFy+mTJkyODk5FWmtypUr4+TkREpKClWrVjXuFxYW8tJLL7F8+XKSkpKMFwHe6PDhwwQFBRV1ayIiIiIiIiKPJCWEReSWRo4cSevWrSlfvjy///47n332GUlJSWzYsOGhrzV27FiGDBmCs7MzrVq1Ii8vj71793L27FmGDRtGmTJlsLW1Zf369ZQrVw4bGxucnZ2LPH/fvn0JCAgAriYg78XIkSMJDAxk0KBBDBw4ECsrKzZv3syzzz6Lq6srbm5ufPTRR3h5eZGZmcmIESPMxt8u9rvtuWvXrkyaNIkOHToQGxuLl5cX33zzDd7e3kV6sZ+9vT0vvvgir776Kq6urpQvX5533nmHCxcu0KdPnyLtPT4+nvz8fBo0aICdnR2ffvoptra2RoK5adOmzJo1i9DQUPLz83nttdduOrV8N35+fixYsIANGzZQsWJFFi5cyJ49e8ySsr6+vmzYsIG0tDTc3NxwdnamW7duTJkyhfbt2zNu3DjKlSvHjz/+yLJlyxg+fPgtT/haWFjQvHlztm/fTocOHYz7gwcP5rPPPmPlypU4Ojryyy+/AODs7Gz2jwfbtm1j/Pjx97Q/EZFHTcbktsUdgoiIiIgUM9UQFpFbOnnyJD169MDf359mzZqxZ88eNmzYQIsWLR76Wn379mXevHnExcURGBhIkyZNiI+PN5KCJUqU4L333mPOnDl4e3vTvn37e5rfz8+Phg0bUq1atZtKNNxN1apV+frrrzl48CD169cnNDSUlStXUqJECSwsLEhISGDfvn3UrFmToUOHMmXKFLPxt4v9bnu2srLi66+/pkyZMrRp04bAwEAmT55cpDIa10yePJlOnTrRvXt3goODOXbsGBs2bKBUqVJFGu/i4sLcuXNp1KgRtWrVYtOmTXz11Ve4ubkBMG3aNHx8fGjcuDHPP/88MTEx2NnZFTk+gAEDBtCxY0e6dOlCgwYNOH36tNlpYbhaB9rf35969erh7u5OcnIydnZ2bN26lfLly9OxY0cCAgLo06cPFy9evOOJ4b59+5KQkGBWWmP27NlkZ2cTFhaGl5eX8Vm8eLHRZ+fOnWRnZ99TuRERERERERGRR5Gp8MYCkCIi/zCFhYX4+fkxaNAghg0bVtzhSDEqLCykQYMGDB06lK5duxZ5XJcuXahduzavv/56kcfk5OTg7OxMdnZ2kctaiIiIiIiIiNyvov4eqhPCIvKPdurUKWbNmsUvv/xCr169ijscKWYmk4mPPvqIK1euFHnMpUuXCAwMZOjQoX9iZCIiIiIiIiJ/DZ0QFpF/NJPJROnSpZk5cybPP/98cYcj/yI6ISwiIiIiIiJ/JZ0QFhHhaomAU6dOPXLJ4IyMDEwmEwcOHCjuUP4SkZGRZi9y+7uvIyIiIiIiIvJ3pYSwiMgDio2NJSQkBEdHR8qUKUOHDh1IS0u74xgfHx+ysrKoWbPmXxSl3Mq/LTEvIiIiIiIiUqK4AxAR+bvbsmULgwcPJiQkhCtXrvD666/TsmVLUlJSsLe3v+UYS0tLPD09/+JIzV26dAkrK6tijUFE/pl8R6wp7hDkNjImty3uEERERESkmOmEsIjIA1q/fj2RkZHUqFGD2rVrEx8fT2ZmJvv27bvtmBtPpp49e5Zu3brh7u6Ora0tfn5+xMXFGf0PHTpE06ZNsbW1xc3Njf79+5Obm2u0XyuVMHbsWNzd3XFycmLgwIFcunTJ6BMWFkZUVBTR0dGULl2a8PBw4GpCu379+lhbW+Pl5cWIESPMXrp2bVxUVBTOzs6ULl2aUaNGca0E/bhx42550rlOnTqMGjXqlvsPCwvjpZdeIjo6mlKlSuHh4cHcuXM5f/48vXr1wtHRkSpVqrBu3TpjTH5+Pn369KFixYrY2tri7+/PzJkz7/TVsH79eh5//HFcXFxwc3OjXbt2pKenG+0VK1YEICgoCJPJRFhYmNE2b948AgICsLGxoVq1anzwwQd3XEtERERERETk70AJYRGRhyw7OxsAV1fXIo8ZNWoUKSkprFu3jtTUVGbPnk3p0qUBOH/+POHh4ZQqVYo9e/bwxRdfsGnTJqKioszmSExMJDU1laSkJD7//HOWLVvG2LFjzfrMnz8fKysrkpOT+fDDD/n5559p06YNISEhHDx4kNmzZ/Pxxx8zYcKEm8aVKFGC3bt3M3PmTKZPn868efMA6N27N6mpqezZs8fo/8033/Dtt9/Sq1ev2+55/vz5lC5dmt27d/PSSy/x4osv8uyzz9KwYUP2799Py5Yt6d69OxcuXACgoKCAcuXK8cUXX5CSksLo0aN5/fXXWbJkyW3XOH/+PMOGDWPv3r0kJiZiYWHB008/TUFBAQC7d+8GYNOmTWRlZbFs2TIAFi1axOjRo5k4cSKpqalMmjSJUaNGMX/+/NuulZeXR05OjtlHRERERERE5FFjKrx2xEtERB5YQUEBTz31FOfOnWP79u237ZeRkUHFihX55ptvqFOnDk899RSlS5fmk08+uanv3Llzee211zhx4oRRgmLt2rVERETwv//9Dw8PDyIjI/nqq684ceIEdnZ2AHz44Ye8+uqrZGdnY2FhQVhYGDk5Oezfv9+Y+4033mDp0qWkpqZiMpkA+OCDD3jttdfMxp08eZLvvvvO6DNixAhWrVpFSkoKAG3atMHX19c4RTtkyBAOHTrE5s2bgasnmM+dO8eKFSuAqyeE8/Pz2bZtG3D19K+zszMdO3ZkwYIFAPzyyy94eXmxc+dOHnvssVs+x6ioKH755Re+/PLLW65zo99++w13d3cOHTpEzZo1b/oerqlSpQrjx4+na9euxr0JEyawdu1aduzYccu5x4wZc1MCHrjr211F/olUMuLRpZIRIiIiIv9cOTk5ODs73/X3UJ0QFhF5iAYPHszhw4dJSEgw7g0cOBAHBwfjcysvvvgiCQkJ1KlTh+HDh5slHVNTU6ldu7ZZPeJGjRpRUFBg9vK62rVrG8lggNDQUHJzczlx4oRxr27dumbrpqamEhoaaiR6r82dm5vLTz/9ZNx77LHHzPqEhoZy9OhR8vPzAejXrx+ff/45Fy9e5NKlS3z22Wf07t37js+qVq1axs+Wlpa4ubkRGBho3PPw8ADg5MmTxr3//Oc/1K1bF3d3dxwcHPjoo4/IzMy87RpHjx6la9euVKpUCScnJ3x9fQHuOOb8+fOkp6fTp08fs+9twoQJZuUmbjRy5Eiys7ONz/XPXURERERERORRoZfKiYg8JFFRUaxevZqtW7dSrlw54/64ceOIiYm549jWrVvz448/snbtWjZu3EizZs0YPHgwU6dOfagx3u4ldw8qIiICa2trli9fjpWVFZcvX+aZZ56545iSJUuaXZtMJrN71xLQ18o7JCQkEBMTw7Rp0wgNDcXR0ZEpU6awa9euO8ZVoUIF5s6di7e3NwUFBdSsWdOstvKNrtVmnjt3Lg0aNDBrs7S0vO04a2trrK2tb9suIiIiIiIi8ihQQlhE5AEVFhby0ksvsXz5cpKSkowXlV1TpkwZypQpc9d53N3d6dmzJz179qRx48a8+uqrTJ06lYCAAOLj4zl//ryR0E1OTsbCwgJ/f39j/MGDB/njjz+wtbUF4L///S8ODg74+Pjcds2AgACWLl1KYWGhkYBNTk7G0dHRLKl9Y9L1v//9L35+fkaCtESJEvTs2ZO4uDisrKx47rnnjDgeluTkZBo2bMigQYOMe3c6sXv69GnS0tKYO3cujRs3BripjIeVlRWAcdIZrp5M9vb25ocffqBbt24PcwsiIiIiIiIixU4JYRGRBzR48GA+++wzVq5ciaOjI7/88gsAzs7ORU6Kjh49mrp161KjRg3y8vJYvXo1AQEBAHTr1o233nqLnj17MmbMGE6dOsVLL71E9+7djbIKAJcuXaJPnz68+eabZGRk8NZbbxEVFYWFxe2rAw0aNIgZM2bw0ksvERUVRVpaGm+99RbDhg0zG5eZmcmwYcMYMGAA+/fv5/3332fatGlmc/Xt29eIOTk5uWgP7x74+fmxYMECNmzYQMWKFVm4cCF79uy5KQF/TalSpXBzc+Ojjz7Cy8uLzMxMRowYYdanTJky2Nrasn79esqVK4eNjQ3Ozs6MHTuWIUOG4OzsTKtWrcjLy2Pv3r2cPXuWYcOGPfS9ifzTqE6tiIiIiMijSzWERUQe0OzZs8nOziYsLAwvLy/js3jx4iLPYWVlxciRI6lVqxZPPPEElpaWRh1iOzs7NmzYwJkzZwgJCeGZZ56hWbNmzJo1y2yOZs2a4efnxxNPPEGXLl146qmnGDNmzB3XLVu2LGvXrmX37t3Url2bgQMHGknl6/Xo0YM//viD+vXrM3jwYF5++WX69+9v1sfPz4+GDRtSrVq1m0otPAwDBgygY8eOdOnShQYNGnD69Gmz08I3srCwICEhgX379lGzZk2GDh3KlClTzPqUKFGC9957jzlz5uDt7U379u2Bq8ntefPmERcXR2BgIE2aNCE+Pv62yWcRERERERGRvwtTYWFhYXEHISIiDyYyMpJz586xYsWKhz53WFgYderUYcaMGXfsV1hYiJ+fH4MGDdIpWor+dlcRERERERGRh6Gov4eqZISIiDywU6dOkZCQwC+//EKvXr2KOxwRERERERERuQ0lhEVE5IGVKVOG0qVL89FHH1GqVKniDkdEREREREREbkM1hEXkbyUsLIzo6OjiDuORExkZycqVKzl37lyRx/j6+t61DARAUlJSkcpFnDp1iueff964d+N3deHCBTp16oSTkxMmk+meYn1Y0tLS8PT05Pfffy/ymA8//JCIiIg/MSoRERERERGRv44SwiJiZuvWrURERODt7Y3JZCpSTdply5bRokUL3N3dcXJyIjQ0lA0bNtxxTFpaGk8++SQeHh7Y2NhQqVIl3nzzTS5fvvyQdvL3N2bMGOrUqVOkvg0bNiQrKwtnZ+c/N6gHMH/+fLZt28aOHTuKHGtSUtJDTR6PHDmSl156CUdHRwAuXrxIZGQkgYGBlChRgg4dOtw0pnfv3uzfv59t27Y9lBhEREREREREipNKRoiImfPnz1O7dm169+5Nx44dizRm69attGjRgkmTJuHi4kJcXBwRERHs2rWLoKCgW44pWbIkPXr0IDg4GBcXFw4ePEi/fv0oKChg0qRJD3NL/3iXL1/GysoKT0/P4g7ljtLT0wkICKBmzZrFsn5mZiarV6/m/fffN+7l5+dja2vLkCFDWLp06S3HWVlZ8fzzz/Pee+/RuHHjvypcEXnE+Y5YU9wh3JeMyW2LOwQRERERKWY6ISwiZlq3bs2ECRN4+umnizxmxowZDB8+nJCQEPz8/Jg0aRJ+fn589dVXtx1TqVIlevXqRe3atalQoQJPPfUU3bp1K9IpzCtXrhAVFYWzszOlS5dm1KhRFBYWGu15eXnExMRQtmxZ7O3tadCgAUlJSUZ7fHw8Li4ubNiwgYCAABwcHGjVqhVZWVlGH5PJdNPH19fXaD98+DCtW7fGwcEBDw8Punfvzm+//Wa0h4WFMWTIEIYPH46rqyuenp6MGTPGbB/nzp2jb9++xsnqpk2bcvDgQSPGsWPHcvDgQWP9+Ph4I7bZs2fz1FNPYW9vz8SJE295knbp0qXUqFEDa2trfH19mTZt2l2f7fWSkpKoX78+9vb2uLi40KhRI3788UfgaomKG0/TRkdHExYWdsu5wsLCmDZtGlu3bsVkMhn9Fi5cSL169XB0dMTT05Pnn3+ekydPApCRkcGTTz4JQKlSpTCZTERGRgJQUFBAbGwsFStWxNbWltq1a/Pll1/ecT9Lliyhdu3alC1b1rhnb2/P7Nmz6dev3x0T6hEREaxatYo//vjjjmuIiIiIiIiIPOqUEBaRh66goIDff/8dV1fXIo85duwY69evp0mTJnftO3/+fEqUKMHu3buZOXMm06dPZ968eUZ7VFQUO3fuJCEhgW+//ZZnn32WVq1acfToUaPPhQsXmDp1KgsXLmTr1q1kZmYSExNjtGdlZRmfY8eOUaVKFZ544gngaiK3adOmBAUFsXfvXtavX8+vv/5K586db4rT3t6eXbt28c477zBu3Dg2btxotD/77LOcPHmSdevWsW/fPoKDg2nWrBlnzpyhS5cuvPLKK9SoUcOIo0uXLsbYMWPG8PTTT3Po0CF69+590zPat28fnTt35rnnnuPQoUOMGTOGUaNGGUnlu7ly5QodOnSgSZMmfPvtt+zcuZP+/ftjMpmKNP5Gy5Yto1+/foSGhpKVlcWyZcuAq6ebx48fz8GDB1mxYgUZGRlG0tfHx8c4tZuWlkZWVhYzZ84EIDY2lgULFvDhhx/y3XffMXToUF544QW2bNly2xi2bdtGvXr17iv+evXqceXKFXbt2nXbPnl5eeTk5Jh9RERERERERB41KhkhIg/d1KlTyc3NvSlBeisNGzZk//795OXl0b9/f8aNG3fXMT4+Prz77ruYTCb8/f05dOgQ7777Lv369SMzM5O4uDgyMzPx9vYGICYmhvXr1xMXF2eUo7h8+TIffvghlStXBq4mka9f+9pp0cLCQjp16oSzszNz5swBYNasWQQFBZmVtvjkk0/w8fHhyJEjVK1aFYBatWrx1ltvAeDn58esWbNITEykRYsWbN++nd27d3Py5Emsra2N57ZixQq+/PJL+vfvj4ODAyVKlLjlydXnn3+eXr16Gdc//PCDWfv06dNp1qwZo0aNAqBq1aqkpKQwZcoUI+F6Jzk5OWRnZ9OuXTvjGQUEBNx13O24urpiZ2d3U2mL65PZlSpV4r333iMkJITc3FwcHByMf1QoU6YMLi4uwNXE66RJk9i0aROhoaHG2O3btzNnzpzb/qPCjz/+eN8JYTs7O5ydnY0T0rcSGxvL2LFj72t+ERERERERkb+KTgiLyEP12WefMXbsWJYsWUKZMmXu2n/x4sXs37+fzz77jDVr1jB16lTg6mlOBwcH47No0SJjzGOPPWZ2UjU0NJSjR4+Sn5/PoUOHyM/Pp2rVqmbjt2zZQnp6ujHGzs7OSHQCeHl5GaUKrvf666+zc+dOVq5cia2tLQAHDx5k8+bNZvNXq1YNwGyNWrVqmc11/RoHDx4kNzcXNzc3s3mOHz9uNsft3C2xmZqaSqNGjczuNWrUyHhOd+Pq6kpkZCTh4eFEREQwc+ZMs5IaD8u+ffuIiIigfPnyODo6GsnczMzM2445duwYFy5coEWLFmbPbsGCBXd8dn/88Qc2Njb3HautrS0XLly4bfvIkSPJzs42PidOnLjvtURERERERET+LDohLCIPTUJCAn379uWLL76gefPmRRrj4+MDQPXq1cnPz6d///688sor1KtXjwMHDhj9PDw8ijRfbm4ulpaW7Nu3D0tLS7M2BwcH4+eSJUuatZlMJrM6xACffvop7777LklJSWZ1Z3Nzc4mIiODtt9++aX0vL687rlFQUGDM4eXlZVbb+JprJ2HvxN7e/q59HlRcXBxDhgxh/fr1LF68mDfffJONGzfy2GOPYWFhcdPzunz58j3Nf/78ecLDwwkPD2fRokW4u7uTmZlJeHg4ly5duu243NxcANasWWP2vQDGaetbKV26NGfPnr2nGK935swZ3N3db9tubW19x/VFREREREREHgVKCIvIQ/H555/Tu3dvEhISaNv2/t5gXlBQwOXLlykoKMDW1pYqVarcst+NdVz/+9//4ufnh6WlJUFBQeTn53Py5EkaN258X3EA7Ny5k759+zJnzhwee+wxs7bg4GCWLl2Kr68vJUrc31+jwcHB/PLLL5QoUcLsZXXXs7KyKtJp3lsJCAggOTnZ7F5ycjJVq1a9KVF+J0FBQQQFBTFy5EhCQ0P57LPPeOyxx3B3d+fw4cNmfQ8cOHBTEvxOvv/+e06fPs3kyZONfxjYu3evWR8rKysAs+dQvXp1rK2tyczMLFLN6ev3kpKSUuT+10tPT+fixYsEBQXd13gRERERERGRR4USwiJiJjc3l2PHjhnXx48f58CBA7i6ulK+fPlbjvnss8/o2bMnM2fOpEGDBvzyyy/A1f/F3tnZ+ZZjFi1aRMmSJQkMDMTa2pq9e/cycuRIunTpctekYmZmJsOGDWPAgAHs37+f999/n2nTpgFXa+V269aNHj16MG3aNIKCgjh16hSJiYnUqlWrSMnqX375haeffprnnnuO8PBwYz+Wlpa4u7szePBg5s6dS9euXRk+fDiurq4cO3aMhIQE5s2bV6SEa/PmzQkNDaVDhw688847VK1alf/973+sWbOGp59+mnr16uHr62s8/3LlyuHo6FjkE6ivvPIKISEhjB8/ni5durBz505mzZrFBx98UKTxx48f56OPPuKpp57C29ubtLQ0jh49So8ePQBo2rQpU6ZMYcGCBYSGhvLpp59y+PDhe0qYli9fHisrK95//30GDhzI4cOHGT9+vFmfChUqYDKZWL16NW3atMHW1hZHR0diYmIYOnQoBQUFPP7442RnZ5OcnIyTkxM9e/a85Xrh4eH07duX/Px8s+8oJSWFS5cucebMGX7//XfjZHqdOnWMPtu2baNSpUpmZUZE5N8tY/L9/eOniIiIiEhxUw1hETGzd+9e41QowLBhwwgKCmL06NFGnzFjxpidav3oo4+4cuUKgwcPxsvLy/i8/PLLRp/4+Hizur8lSpTg7bffpn79+tSqVYuxY8cSFRXFvHnz7hpjjx49+OOPP6hfvz6DBw/m5Zdfpn///kZ7XFwcPXr04JVXXsHf358OHTqwZ8+e2ya0b/T999/z66+/Mn/+fLP9hISEAODt7U1ycjL5+fm0bNmSwMBAoqOjcXFxwcKiaH+tmkwm1q5dyxNPPEGvXr2oWrUqzz33HD/++KNRHqNTp060atWKJ598End3dz7//PMizQ1XTyAvWbKEhIQEatasyejRoxk3blyRXigHV2ssf//993Tq1ImqVavSv39/Bg8ezIABA4CrydVRo0YxfPhwQkJC+P33341kcVG5u7sTHx/PF198QfXq1Zk8ebJRQ/qasmXLMnbsWEaMGIGHhwdRUVEAjB8/nlGjRhEbG0tAQACtWrVizZo1VKxY8bbrtW7dmhIlSrBp0yaz+23atCEoKIivvvqKpKQksz//13z++ef069fvnvYnIiIiIiIi8igyFd5YBFJE5C569uyJyWQiPj6+yGPeeusttmzZcsuauSJ/lf/85z+sWrWKDRs2FHnMd999R9OmTTly5MhtT7zfSk5ODs7OzmRnZ+Pk5HQ/4YqIiIiIiIgUWVF/D1XJCBG5J4WFhSQlJbF9+/Z7Grdu3TpmzZr1J0UlUjQDBgzg3Llz/P777zg6OhZpTFZWFgsWLLinZLCIiIiIiIjIo0onhEVERP4EOiEsIiIiIiIif6Wi/h6qGsIiIg8gLCyM6Ojo4g7jkRQfH4+Li8ufNn9SUhImk4lz584Z91asWEGVKlWwtLTU9yIiIiIiIiJyCyoZISLyAJYtW0bJkiWLOwz5/w0YMIBevXoxZMiQIpeECAsLo06dOsyYMePPDU5ERERERETkEaCEsIjIA3B1dS3uEOT/l5uby8mTJwkPD8fb27u4wxEReST5jlhT3CGQMbltcYcgIiIi8q+mkhEiIg/gxpIRH3zwAX5+ftjY2ODh4cEzzzxjtOXl5TFkyBDKlCmDjY0Njz/+OHv27DGb7/Dhw7Ru3RoHBwc8PDzo3r07v/32m9Hu6+t700nWOnXqMGbMGOP6+++/5/HHH8fGxobq1auzadMmTCYTK1asMPqcOHGCzp074+LigqurK+3btycjI8Noj4yMpEOHDkydOhUvLy/c3NwYPHgwly9fNvqcPXuWHj16UKpUKezs7GjdujVHjx4t8rO7dOkSUVFReHl5YWNjQ4UKFYiNjQUgIyMDk8nEgQMHjP7nzp3DZDKRlJR001xJSUnGieCmTZsa/U6fPk3Xrl0pW7YsdnZ2BAYG8vnnn5vtc8uWLcycOROTyYTJZDKew92+CxEREREREZG/IyWERUQekr179zJkyBDGjRtHWloa69ev54knnjDahw8fztKlS5k/fz779++nSpUqhIeHc+bMGeBqwrNp06YEBQWxd+9e1q9fz6+//krnzp2LHEN+fj4dOnTAzs6OXbt28dFHH/HGG2+Y9bl8+TLh4eE4Ojqybds2kpOTcXBwoFWrVly6dMnot3nzZtLT09m8eTPz588nPj6e+Ph4oz0yMpK9e/eyatUqdu7cSWFhIW3atDFLGt/Je++9x6pVq1iyZAlpaWksWrQIX1/fIu/1eg0bNiQtLQ2ApUuXkpWVRcOGDbl48SJ169ZlzZo1HD58mP79+9O9e3d2794NwMyZMwkNDaVfv35kZWWRlZWFj4/PfX0XeXl55OTkmH1EREREREREHjUqGSEi8pBkZmZib29Pu3btcHR0pEKFCgQFBQFw/vx5Zs+eTXx8PK1btwZg7ty5bNy4kY8//phXX32VWbNmERQUxKRJk4w5P/nkE3x8fDhy5AhVq1a9awwbN24kPT2dpKQkPD09AZg4cSItWrQw+ixevJiCggLmzZuHyWQCIC4uDhcXF5KSkmjZsiUApUqVYtasWVhaWlKtWjXatm1LYmIi/fr14+jRo6xatYrk5GQaNmwIwKJFi/Dx8WHFihU8++yzRXpefn5+PP7445hMJipUqFCUx3xLVlZWlClTBrhaxuPa3suWLUtMTIzR76WXXmLDhg0sWbKE+vXr4+zsjJWVFXZ2dsYY4L6+i9jYWMaOHXvfexARERERERH5K+iEsIjIQ9KiRQsqVKhApUqV6N69O4sWLeLChQsApKenc/nyZRo1amT0L1myJPXr1yc1NRWAgwcPsnnzZhwcHIxPtWrVjPFFkZaWho+Pj1lys379+mZ9Dh48yLFjx3B0dDTWcXV15eLFi2br1KhRA0tLS+Pay8uLkydPApCamkqJEiVo0KCB0e7m5oa/v7+xn7uJjIzkwIED+Pv7M2TIEL7++usijbsX+fn5jB8/nsDAQFxdXXFwcGDDhg1kZmbecdz9fBcjR44kOzvb+Jw4ceKh70dERERERETkQemEsIjIQ+Lo6Mj+/ftJSkri66+/ZvTo0YwZM+amOsG3k5ubS0REBG+//fZNbV5eXgBYWFhQWFho1lbUEg3Xr1O3bl0WLVp0U5u7u7vxc8mSJc3aTCYTBQUF97TWnQQHB3P8+HHWrVvHpk2b6Ny5M82bN+fLL7/EwuLqv1dev9d73SfAlClTmDlzJjNmzCAwMBB7e3uio6PNSmPcSlG+ixtZW1tjbW19zzGKiIiIiIiI/JWUEBYReYhKlChB8+bNad68OW+99RYuLi783//9H+Hh4VhZWZGcnGyURrh8+TJ79uwxXkoXHBzM0qVL8fX1pUSJW//17O7uTlZWlnGdk5PD8ePHjWt/f39OnDjBr7/+ioeHB8BNCeng4GAWL15MmTJlcHJyuq99BgQEcOXKFXbt2mWUjDh9+jRpaWlUr169yPM4OTnRpUsXunTpwjPPPEOrVq04c+aMkZjOysoyym5c/4K5okpOTqZ9+/a88MILABQUFHDkyBGzGK2srMjPzzcbV5TvQkTk7yhjctviDkFEREREiplKRoiIPCSrV6/mvffe48CBA/z4448sWLCAgoIC/P39sbe358UXX+TVV19l/fr1pKSk0K9fPy5cuECfPn0AGDx4MGfOnKFr167s2bOH9PR0NmzYQK9evYyEZdOmTVm4cCHbtm3j0KFD9OzZ06ysQ4sWLahcuTI9e/bk22+/JTk5mTfffBPAqBfcrVs3SpcuTfv27dm2bRvHjx8nKSmJIUOG8NNPPxVpr35+frRv355+/fqxfft2Dh48yAsvvEDZsmVp3759keaYPn06n3/+Od9//z1Hjhzhiy++wNPTExcXF2xtbXnssceYPHkyqampbNmyxdjHvfDz82Pjxo3s2LGD1NRUBgwYwK+//mrWx9fXl127dpGRkcFvv/1GQUFBkb4LERERERERkb8jJYRFRB4SFxcXli1bRtOmTQkICODDDz/k888/p0aNGgBMnjyZTp060b17d4KDgzl27BgbNmygVKlSAHh7e5OcnEx+fj4tW7YkMDCQ6OhoXFxcjBIKI0eOpEmTJrRr1462bdvSoUMHKleubMRgaWnJihUryM3NJSQkhL59+/LGG28AYGNjA4CdnR1bt26lfPnydOzYkYCAAPr06cPFixfv6cRwXFwcdevWpV27doSGhlJYWMjatWtvKjVxO46OjrzzzjvUq1ePkJAQMjIyWLt2rbHXTz75hCtXrlC3bl2io6OZMGFCkWO75s033yQ4OJjw8HDCwsLw9PSkQ4cOZn1iYmKwtLSkevXquLu7k5mZWaTvQkREREREROTvyFR4YzFKERH5R0lOTubxxx/n2LFjZslj+XPl5OTg7OxMdnb2fZfmEBERERERESmqov4eqsKIIiL/MMuXL8fBwQE/Pz+OHTvGyy+/TKNGjZQMFhERERERERGVjBAR+af5/fffGTx4MNWqVSMyMpKQkBBWrlxZ3GHds4yMDEwmk9nL5JKTkwkMDKRkyZI3lX4QERERERERkbvTCWERkX+YHj160KNHj+IO408xbNgw6tSpw7p163BwcCjucERERERERET+dpQQFhGRv4309HQGDhxIuXLlijsUEZG/Jd8Ra4rUL2Ny2z85EhEREREpLioZISLyL7Z+/Xoef/xxXFxccHNzo127dqSnpxvtP/30E127dsXV1RV7e3vq1avHrl27jPaVK1cSHByMjY0NlSpVYuzYsVy5cgWAwsJCxowZQ/ny5bG2tsbb25shQ4YYY00mEytWrDCLx8XFhfj4+JvivFY+4vTp0/Tu3RuTyUR8fDz5+fn06dOHihUrYmtri7+/PzNnzjQbGxkZSYcOHZg0aRIeHh64uLgwbtw4rly5wquvvoqrqyvlypUjLi7ObNyJEyfo3LkzLi4uuLq60r59ezIyMu7zSYuIiIiIiIg8GpQQFhH5Fzt//jzDhg1j7969JCYmYmFhwdNPP01BQQG5ubk0adKEn3/+mVWrVnHw4EGGDx9OQUEBANu2baNHjx68/PLLpKSkMGfOHOLj45k4cSIAS5cu5d1332XOnDkcPXqUFStWEBgYeF9x+vj4kJWVhZOTEzNmzCArK4suXbpQUFBAuXLl+OKLL0hJSWH06NG8/vrrLFmyxGz8//3f//G///2PrVu3Mn36dN566y3atWtHqVKl2LVrFwMHDmTAgAH89NNPAFy+fJnw8HAcHR3Ztm0bycnJODg40KpVKy5duvQAT1xERERERESkeKlkhIjIv1inTp3Mrj/55BPc3d1JSUlhx44dnDp1ij179uDq6gpAlSpVjL5jx45lxIgR9OzZE4BKlSoxfvx4hg8fzltvvUVmZiaenp40b96ckiVLUr58eerXr39fcVpaWuLp6YnJZMLZ2RlPT0+zOK6pWLEiO3fuZMmSJXTu3Nm47+rqynvvvYeFhQX+/v688847XLhwgddffx2AkSNHMnnyZLZv385zzz3H4sWLKSgoYN68eZhMJgDi4uJwcXEhKSmJli1b3hRjXl4eeXl5xnVOTs597VVERERERETkz6QTwiIi/2JHjx6la9euVKpUCScnJ3x9fQHIzMzkwIEDBAUFGcngGx08eJBx48bh4OBgfPr160dWVhYXLlzg2Wef5Y8//qBSpUr069eP5cuXG+UkHqb//Oc/1K1bF3d3dxwcHPjoo4/IzMw061OjRg0sLP7ff/I8PDzMTitbWlri5ubGyZMnjb0dO3YMR0dHY2+urq5cvHjRrKTG9WJjY3F2djY+Pj4+D32vIiIiIiIiIg9KJ4RFRP7FIiIiqFChAnPnzsXb25uCggJq1qzJpUuXsLW1vePY3Nxcxo4dS8eOHW9qs7GxwcfHh7S0NDZt2sTGjRsZNGgQU6ZMYcuWLZQsWRKTyURhYaHZuMuXL99T/AkJCcTExDBt2jRCQ0NxdHRkypQpZnWOAUqWLGl2bTKZbnnvWjmM3Nxc6taty6JFi25a093d/ZaxjBw5kmHDhhnXOTk5SgqLiIiIiIjII0cJYRGRf6nTp0+TlpbG3Llzady4MQDbt2832mvVqsW8efM4c+bMLU8JBwcHk5aWZlZG4ka2trZEREQQERHB4MGDqVatGocOHSI4OBh3d3eysrKMvkePHuXChQv3tIfk5GQaNmzIoEGDjHu3O8F7L4KDg1m8eDFlypTBycmpSGOsra2xtrZ+4LVFRERERERE/kxKCIuI/EuVKlUKNzc3PvroI7y8vMjMzGTEiBFGe9euXZk0aRIdOnQgNjYWLy8vvvnmG7y9vQkNDWX06NG0a9eO8uXL88wzz2BhYcHBgwc5fPgwEyZMID4+nvz8fBo0aICdnR2ffvoptra2VKhQAYCmTZsya9YsQkNDyc/P57XXXrvp1O7d+Pn5sWDBAjZs2EDFihVZuHAhe/bsoWLFig/0bLp168aUKVNo374948aNo1y5cvz4448sW7aM4cOHU65cuQeaX0SkuGRMblvcIYiIiIhIMVMNYRGRfykLCwsSEhLYt28fNWvWZOjQoUyZMsVot7Ky4uuvv6ZMmTK0adOGwMBAJk+ejKWlJQDh4eGsXr2ar7/+mpCQEB577DHeffddI+Hr4uLC3LlzadSoEbVq1WLTpk189dVXuLm5ATBt2jR8fHxo3Lgxzz//PDExMdjZ2d3THgYMGEDHjh3p0qULDRo04PTp02anhe+XnZ0dW7dupXz58nTs2JGAgAD69OnDxYsXi3xiWERERERERORRZCq8sYCjiIiIPLCcnBycnZ3Jzs5WEllERERERET+dEX9PVQnhEVERERERERERET+JZQQFhEREREREREREfmXUEJYRERERERERERE5F9CCWEREXkgYWFhREdHP5S5fH19mTFjxkOZqyji4+NxcXH5y9YTERERERERKW4lijsAERGRS5cuYWVl9cjOJyLyT+E7Yk1xh3DPMia3Le4QRERERP5RdEJYRETuW2RkJFu2bGHmzJmYTCZMJhPp6en06dOHihUrYmtri7+/PzNnzrxpXIcOHZg4cSLe3t74+/sTFhbGjz/+yNChQ425AE6fPk3Xrl0pW7YsdnZ2BAYG8vnnn5vNFxYWRlRUFNHR0ZQuXZrw8HAApk+fTmBgIPb29vj4+DBo0CByc3MBSEpKolevXmRnZxvrjRkzBoC8vDxiYmIoW7Ys9vb2NGjQgKSkpD/3YYqIiIiIiIj8BXRCWERE7tvMmTM5cuQINWvWZNy4cQCUKlWKcuXK8cUXX+Dm5saOHTvo378/Xl5edO7c2RibmJiIk5MTGzduBMDLy4vatWvTv39/+vXrZ/S7ePEidevW5bXXXsPJyYk1a9bQvXt3KleuTP369Y1+8+fP58UXXyQ5Odm4Z2FhwXvvvUfFihX54YcfGDRoEMOHD+eDDz6gYcOGzJgxg9GjR5OWlgaAg4MDAFFRUaSkpJCQkIC3tzfLly+nVatWHDp0CD8/vz/vgYqIiIiIiIj8yUyFhYWFxR2EiIj8fYWFhVGnTp071v6Nioril19+4csvvwSunhBev349mZmZZqUdfH19iY6OvmtN4nbt2lGtWjWmTp1qxJCTk8P+/fvvOO7LL79k4MCB/Pbbb8DVGsLR0dGcO3fO6JOZmUmlSpXIzMzE29vbuN+8eXPq16/PpEmTbjl3Xl4eeXl5xnVOTg4+Pj5kZ2fj5OR0x7hERP4qKhkhIiIi8s+Vk5ODs7PzXX8P1QlhERF56P7zn//wySefkJmZyR9//MGlS5eoU6eOWZ/AwMAi1fnNz89n0qRJLFmyhJ9//plLly6Rl5eHnZ2dWb+6deveNHbTpk3Exsby/fffk5OTw5UrV7h48SIXLly4afw1hw4dIj8/n6pVq5rdz8vLw83N7bZxxsbGMnbs2LvuR0RERERERKQ4KSEsIiIPVUJCAjExMUybNo3Q0FAcHR2ZMmUKu3btMutnb29fpPmmTJnCzJkzmTFjhlEPODo6mkuXLt1xvoyMDNq1a8eLL77IxIkTcXV1Zfv27fTp04dLly7dNiGcm5uLpaUl+/btw9LS0qztWkmJWxk5ciTDhg0zrq+dEBYRERERERF5lCghLCIiD8TKyor8/HzjOjk5mYYNGzJo0CDjXnp6+n3NdW2+9u3b88ILLwBQUFDAkSNHqF69+h3n2rdvHwUFBUybNg0Li6vvUF2yZMld1wsKCiI/P5+TJ0/SuHHjIsUNYG1tjbW1dZH7i4iIiIiIiBQHJYRFROSB+Pr6smvXLjIyMnBwcMDPz48FCxawYcMGKlasyMKFC9mzZw8VK1Ys0lxbt27lueeew9ramtKlS+Pn58eXX37Jjh07KFWqFNOnT+fXX3+9a0K4SpUqXL58mffff5+IiAiSk5P58MMPb1ovNzeXxMREateujZ2dHVWrVqVbt2706NGDadOmERQUxKlTp0hMTKRWrVq0bataliLy96V6vCIiIiJiUdwBiIjI31tMTAyWlpZUr14dd3d3wsPD6dixI126dKFBgwacPn3a7LTwnYwbN46MjAwqV66Mu7s7AG+++SbBwcGEh4cTFhaGp6cnHTp0uOtctWvXZvr06bz99tvUrFmTRYsWERsba9anYcOGDBw4kC5duuDu7s4777wDQFxcHD169OCVV17B39+fDh06sGfPHsqXL39vD0dERERERETkEWMqLCwsLO4gRERE/mmK+nZXERERERERkYehqL+H6oSwiIiIiIiIiIiIyL+EEsIiIiIiIiIiIiIi/xJKCIuI/MOFhYURHR19xz6+vr7MmDGjyHOOGTOGOnXqPFBcIiIiIiIiIvLXU0JYRP41Jk+ejMlkumty9M8WHx+Pi4vLX7besmXLGD9+/F+23t/NvSbDRURERERERP7OShR3ACIif4U9e/YwZ84catWqVdyh/OVcXV2LOwQREblHviPW/CnzZkxu+6fMKyIiIiJ/HzohLCL/eLm5uXTr1o25c+dSqlSpu/Z/7bXXqFq1KnZ2dlSqVIlRo0Zx+fJlsz5fffUVISEh2NjYULp0aZ5++mmjLS8vj5iYGMqWLYu9vT0NGjQgKSkJgKSkJHr16kV2djYmkwmTycSYMWMAWLhwIfXq1cPR0RFPT0+ef/55Tp48acyblJSEyWRiw4YNBAUFYWtrS9OmTTl58iTr1q0jICAAJycnnn/+eS5cuGCMu7FkxMmTJ4mIiMDW1paKFSuyaNGim55BZmYm7du3x8HBAScnJzp37syvv/56U785c+bg4+ODnZ0dnTt3Jjs726x93rx5BAQEYGNjQ7Vq1fjggw+MtoyMDEwmE8uWLePJJ5/Ezs6O2rVrs3PnTrPYrz2n6z8ZGRlFijM9PZ327dvj4eGBg4MDISEhbNq0yWz+H3/8kaFDhxpzX7N9+3YaN26Mra0tPj4+DBkyhPPnz9/0DERERERERET+TpQQFpF/vMGDB9O2bVuaN29epP6Ojo7Ex8eTkpLCzJkzmTt3Lu+++67RvmbNGp5++mnatGnDN998Q2JiIvXr1zfao6Ki2LlzJwkJCXz77bc8++yztGrViqNHj9KwYUNmzJiBk5MTWVlZZGVlERMTA8Dly5cZP348Bw8eZMWKFWRkZBAZGXlTfGPGjGHWrFns2LGDEydO0LlzZ2bMmMFnn33GmjVr+Prrr3n//fdvu7/IyEhOnDjB5s2b+fLLL/nggw/MEs8FBQW0b9+eM2fOsGXLFjZu3MgPP/xAly5dzOY5duwYS5Ys4auvvmL9+vV88803DBo0yGhftGgRo0ePZuLEiaSmpjJp0iRGjRrF/PnzzeZ54403iImJ4cCBA1StWpWuXbty5coV4Gq5i2vPKSsri44dO+Lv74+Hh0eR4szNzaVNmzYkJibyzTff0KpVKyIiIsjMzDTmL1euHOPGjTPWgKuJ5FatWtGpUye+/fZbFi9ezPbt24mKirrtcxURERERERH5OzAVFhYWFncQIiJ/loSEBCZOnMiePXuwsbEhLCyMOnXq3FPN2KlTp5KQkMDevXsBaNiwIZUqVeLTTz+9qW9mZiaVKlUiMzMTb29v437z5s2pX78+kyZNIj4+nujoaM6dO3fHdffu3UtISAi///47Dg4OJCUl8eSTT7Jp0yaaNWsGXK2LPHLkSNLT06lUqRIAAwcOJCMjg/Xr1wOY7fnIkSP4+/uze/duQkJCAPj+++8JCAjg3XffJTo6mo0bN9K6dWuOHz+Oj48PACkpKdSoUcMYN2bMGCZMmMCPP/5I2bJlAVi/fj1t27bl559/xtPTkypVqjB+/Hi6du1q7GnChAmsXbuWHTt2kJGRQcWKFZk3bx59+vQxWyc1NZVq1aqZPY93332XcePGsWvXLqpWrVqkOG+lZs2aDBw40Eju+vr6Eh0dbXaKum/fvlhaWjJnzhzj3vbt22nSpAnnz5/Hxsbmpnnz8vLIy8szrnNycvDx8SE7OxsnJ6c7ftciIjdSyQgRERERuVc5OTk4Ozvf9fdQnRAWkX+sEydO8PLLL7No0aJbJvAGDhyIg4OD8blm8eLFNGrUCE9PTxwcHHjzzTeNE6UABw4cMBKyNzp06BD5+flUrVrVbO4tW7aQnp5+x3j37dtHREQE5cuXx9HRkSZNmgCYrQ2Y1UH28PAwSltcf+/6E7/XS01NpUSJEtStW9e4V61aNbOX3KWmpuLj42MkWQGqV6+Oi4sLqampxr3y5csbyWCA0NBQCgoKSEtL4/z586Snp9OnTx+z5zBhwoSbnsP1+/Hy8gK4Kf5169YxYsQIFi9eTNWqVYscZ25uLjExMQQEBODi4oKDgwOpqak3PdMbHTx4kPj4eLPYw8PDKSgo4Pjx47ccExsbi7Ozs/G5Pi4RERERERGRR4VeKici/1j79u3j5MmTBAcHG/fy8/PZunUrs2bN4ueffzbKNVyzc+dOunXrxtixYwkPD8fZ2ZmEhASmTZtm9LG1tb3tmrm5uVhaWrJv3z4sLS3N2q5POt/o/PnzhIeHEx4ezqJFi3B3dyczM5Pw8HAuXbpk1rdkyZLGzyaTyez62r2CgoLbrvVXyM3NBWDu3Lk0aNDArO3G53LjfgCz+FNSUnjuueeYPHkyLVu2vKc4YmJi2LhxI1OnTqVKlSrY2tryzDPP3PRMbxX/gAEDGDJkyE1t5cuXv+WYkSNHMmzYMOP62glhERERERERkUeJEsIi8o/VrFkzDh06ZHavV69eVKtWjddeew0PDw88PDzM2nfs2EGFChV44403jHs//vijWZ9atWqRmJhIr169blozKCiI/Px8Tp48SePGjW8Zl5WVFfn5+Wb3vv/+e06fPs3kyZONJOK1EhUPU7Vq1bhy5Qr79u0zSiqkpaWZla8ICAjgxIkTnDhxwqwUw7lz56hevbrRLzMzk//9739GaYz//ve/WFhYGDV+vb29+eGHH+jWrdt9x/vbb78RERFBp06dGDp0qFlbUeJMTk4mMjLSeOlfbm6u8UK6a271fQQHB5OSkkKVKlWKHKu1tTXW1tb3ukURERERERGRv5QSwiLyj+Xo6EjNmjXN7tnb2+Pm5nbT/Wv8/PzIzMwkISGBkJAQ1qxZw/Lly836vPXWWzRr1ozKlSvz3HPPceXKFdauXctrr71G1apV6datGz169GDatGkEBQVx6tQpEhMTqVWrFm3btsXX15fc3FwSExOpXbs2dnZ2lC9fHisrK95//30GDhzI4cOHGT9+/EN/Jv7+/rRq1YoBAwYwe/ZsSpQoQXR0tNmp5+bNmxMYGEi3bt2YMWMGV65cYdCgQTRp0oR69eoZ/WxsbOjZsydTp04lJyeHIUOG0LlzZzw9PQEYO3YsQ4YMwdnZmVatWpGXl8fevXs5e/as2UnaO+nUqRN2dnaMGTOGX375xbjv7u5epDj9/PxYtmwZERERmEwmRo0addPpaV9fX7Zu3cpzzz2HtbU1pUuX5rXXXuOxxx4jKiqKvn37Ym9vT0pKChs3bmTWrFn3/fxFRIpKtX5FRERE5M+iGsIiItd56qmnGDp0KFFRUdSpU4cdO3YwatQosz5hYWF88cUXrFq1ijp16tC0aVN2795ttMfFxdGjRw9eeeUV/P396dChA3v27DFKDTRs2JCBAwfSpUsX3N3deeedd3B3dyc+Pp4vvviC6tWrM3nyZKZOnfqn7DEuLg5vb2+aNGlCx44d6d+/P2XKlDHaTSYTK1eupFSpUjzxxBM0b96cSpUqsXjxYrN5qlSpQseOHWnTpg0tW7akVq1afPDBB0Z73759mTdvHnFxcQQGBtKkSRPi4+OpWLFikWPdunUrhw8fpkKFCnh5eRmfEydOFCnO6dOnU6pUKRo2bEhERATh4eFmJUQAxo0bR0ZGBpUrV8bd3R24egp8y5YtHDlyhMaNGxMUFMTo0aPNXhQoIiIiIiIi8ndkKiwsLCzuIERERP5pivp2VxEREREREZGHoai/h+qEsIiIiIiIiIiIiMi/hBLCIiIiIiIiIiIiIv8SSgiLyD9SZGQkHTp0KO4w/jbGjBlDnTp1Huqc8fHxuLi4PNQ5r5eUlITJZOLcuXPGvRUrVlClShUsLS2Jjo7+09YWERERERER+btSQlhE7llsbCwhISE4OjpSpkwZOnToQFpaWrHEkpGRgclk4sCBA8Wy/j9FTEwMiYmJxR3GAxswYADPPPMMJ06cYPz48UUaExYWpuSxiIiIiIiI/GuUKO4AROTvZ8uWLQwePJiQkBCuXLnC66+/TsuWLUlJScHe3r64w3tkFRYWkp+fT4kSf+1fvZcuXcLKyuqOfRwcHHBwcPiLIvpz5ObmcvLkScLDw/H29i7ucEREHkm+I9YUdwj/SBmT2xZ3CCIiIiJFphPCInLP1q9fT2RkJDVq1KB27drEx8eTmZnJvn37bjvm2kneJUuW0LhxY2xtbQkJCeHIkSPs2bOHevXq4eDgQOvWrTl16pTZ2Hnz5hEQEICNjQ3VqlXjgw8+MNoqVqwIQFBQECaTibCwMLOxU6dOxcvLCzc3NwYPHszly5eNtrNnz9KjRw9KlSqFnZ0drVu35ujRowCcOnUKT09PJk2aZPTfsWMHVlZWJCYmkpGRgYWFBXv37jVbb8aMGVSoUIGCggKjpMG6deuoW7cu1tbWbN++nYKCAmJjY6lYsSK2trbUrl2bL7/80iyubt264e7ujq2tLX5+fsTFxRnthw4domnTptja2uLm5kb//v3Jzc012q+Vy5g4cSLe3t74+/sD8NNPP9G1a1dcXV2xt7enXr167Nq1C7i5ZMS1Oe73+RXFpUuXiIqKwsvLCxsbGypUqEBsbCxw65Pf586dw2QykZSUdNNcSUlJODo6AtC0aVOj3+nTp+natStly5bFzs6OwMBAPv/8c7N9btmyhZkzZ2IymTCZTGRkZABw+PBhWrdujYODAx4eHnTv3p3ffvutyPsTEREREREReRQpISwiDyw7OxsAV1fXu/Z96623ePPNN9m/fz8lSpTg+eefZ/jw4cycOZNt27Zx7NgxRo8ebfRftGgRo0ePZuLEiaSmpjJp0iRGjRrF/PnzAdi9ezcAmzZtIisri2XLlhljN2/eTHp6Ops3b2b+/PnEx8cTHx9vtEdGRrJ3715WrVrFzp07KSwspE2bNly+fBl3d3c++eQTxowZw969e/n999/p3r07UVFRNGvWDF9fX5o3b26WqAWIi4sjMjISC4v/99friBEjmDx5MqmpqdSqVYvY2FgWLFjAhx9+yHfffcfQoUN54YUX2LJlCwCjRo0iJSWFdevWkZqayuzZsyldujQA58+fJzw8nFKlSrFnzx6++OILNm3aRFRUlFkciYmJpKWlsXHjRlavXk1ubi5NmjTh559/ZtWqVRw8eJDhw4dTUFBw2+/qQZ5fUbz33nusWrWKJUuWkJaWxqJFi/D19S3S2Bs1bNjQKFuydOlSsrKyaNiwIRcvXqRu3bqsWbOGw4cP079/f7p37278uZk5cyahoaH069ePrKwssrKy8PHx4dy5czRt2pSgoCD27t3L+vXr+fXXX+ncufNtY8jLyyMnJ8fsIyIiIiIiIvKoUckIEXkgBQUFREdH06hRI2rWrHnX/jExMYSHhwPw8ssv07VrVxITE2nUqBEAffr0MUs6vvXWW0ybNo2OHTsCV08Ep6SkMGfOHHr27Im7uzsAbm5ueHp6mq1VqlQpZs2ahaWlJdWqVaNt27YkJibSr18/jh49yqpVq0hOTqZhw4bA1eSzj48PK1as4Nlnn6VNmzb069ePbt26Ua9ePezt7Y0TrAB9+/Zl4MCBTJ8+HWtra/bv38+hQ4dYuXKlWRzjxo2jRYsWwNWk4aRJk9i0aROhoaEAVKpUie3btzNnzhyaNGlCZmYmQUFB1KtXD8AsSfrZZ59x8eJFFixYYJTnmDVrFhEREbz99tt4eHgAYG9vz7x584xSER999BGnTp1iz549RuK+SpUqd/yuHvT53U1mZiZ+fn48/vjjmEwmKlSocNcxt2NlZUWZMmWAq/8wce3PQtmyZYmJiTH6vfTSS2zYsIElS5ZQv359nJ2dsbKyws7OzuzPz6xZswgKCjI7If7JJ5/g4+PDkSNHqFq16k0xxMbGMnbs2Pveg4iIiIiIiMhfQSeEReSBDB48mMOHD5OQkGDcGzhwoFGT9sa6tLVq1TJ+vpa8DAwMNLt38uRJ4Opp2PT0dPr06WM234QJE0hPT79rbDVq1MDS0tK49vLyMuZOTU2lRIkSNGjQwGh3c3PD39+f1NRU497UqVO5cuUKX3zxBYsWLcLa2tpo69ChA5aWlixfvhyA+Ph4nnzyyZtOuV5L7AIcO3aMCxcu0KJFC7M9LViwwNjTiy++SEJCAnXq1GH48OHs2LHDGJ+amkrt2rXNajU3atSIgoICsxf7BQYGmtUNPnDgAEFBQUU6xf0wn9+dREZGcuDAAfz9/RkyZAhff/11kWMrqvz8fMaPH09gYCCurq44ODiwYcMGMjMz7zju4MGDbN682ew7qlatGsBt/+yNHDmS7Oxs43PixImHvh8RERERERGRB6UTwiJy36Kioli9ejVbt26lXLlyxv1x48aZncq8XsmSJY2fTSbTLe9dK2NwrS7u3LlzzRKPgFmi8naun/fGuYsqPT2d//3vfxQUFJCRkWGWvLaysqJHjx7ExcXRsWNHPvvsM2bOnHnTHNcnb6/tac2aNZQtW9as37Vkc+vWrfnxxx9Zu3YtGzdupFmzZgwePJipU6cWOe4bX+5na2tb5LHXPIzndyfBwcEcP36cdevWsWnTJjp37kzz5s358ssvjZIbhYWFRv+ilqK43pQpU5g5cyYzZswgMDAQe3t7oqOjuXTp0h3H5ebmGqeub+Tl5XXLMdbW1mb/YCAiIiIiIiLyKFJCWETuWWFhIS+99BLLly8nKSnJeLHbNWXKlDH+9/0H4eHhgbe3Nz/88APdunW7ZZ9rp2Dz8/Pvae6AgACuXLnCrl27jJIHp0+fJi0tjerVqwNXX3r2wgsv0KVLF/z9/enbty+HDh0y21vfvn2pWbMmH3zwAVeuXDFKW9xO9erVsba2JjMzkyZNmty2n7u7Oz179qRnz540btyYV199lalTpxIQEEB8fDznz583kr7JyclYWFgYL4+7lVq1ajFv3jzOnDlzT6eEb6coz68onJyc6NKlC126dOGZZ56hVatWnDlzxigFkpWVRVBQEIDZC+aKKjk5mfbt2/PCCy8AV0ucHDlyxCxGKyurm/78BAcHs3TpUnx9fSlRQv+pFBERERERkX8O/ZYrIvds8ODBfPbZZ6xcuRJHR0d++eUXAJydne/rJOqdjB07liFDhuDs7EyrVq3Iy8tj7969nD17lmHDhlGmTBlsbW1Zv3495cqVw8bGBmdn57vO6+fnR/v27enXrx9z5szB0dGRESNGULZsWdq3bw/AG2+8QXZ2Nu+99x4ODg6sXbuW3r17s3r1amOegIAAHnvsMV577TV69+591/07OjoSExPD0KFDKSgo4PHHHyc7O5vk5GScnJzo2bMno0ePpm7dutSoUYO8vDxWr15NQEAAAN26deOtt96iZ8+ejBkzhlOnTvHSSy/RvXt3owTHrXTt2pVJkybRoUMHYmNj8fLy4ptvvsHb29uoZXwvivL87mb69Ol4eXkRFBSEhYUFX3zxBZ6enri4uGBhYcFjjz3G5MmTqVixIidPnuTNN9+8rzi//PJLduzYQalSpZg+fTq//vqrWULY19eXXbt2kZGRgYODA66urgwePJi5c+fStWtXhg8fjqurK8eOHSMhIYF58+YV6YS6iMijKGNy2+IOQURERESKmWoIi8g9mz17NtnZ2YSFheHl5WV8Fi9e/NDX6tu3L/PmzSMuLo7AwECaNGlCfHy8cSq5RIkSvPfee8yZMwdvb+8iJyMB4uLiqFu3Lu3atSM0NJTCwkLWrl1LyZIlSUpKYsaMGSxcuBAnJycsLCxYuHAh27ZtY/bs2Wbz9OnTh0uXLtG7d+8irTt+/HhGjRpFbGwsAQEBtGrVijVr1hh7srKyYuTIkdSqVYsnnngCS0tLo0aznZ0dGzZs4MyZM4SEhPDMM8/QrFkzZs2adcc1rays+PrrrylTpgxt2rQhMDCQyZMnP1Bi807PrygcHR155513qFevHiEhIWRkZLB27VqjXMQnn3zClStXqFu3LtHR0UyYMOGeY3zzzTcJDg4mPDycsLAwPD096dChg1mfmJgYLC0tqV69Ou7u7mRmZuLt7U1ycjL5+fm0bNmSwMBAoqOjjWS1iIiIiIiIyN+VqfD6Ao0iInLPxo8fzxdffMG3335b3KHIIyQnJwdnZ2eys7NxcnIq7nBERERERETkH66ov4fqmJOIyH3Kzc3l8OHDzJo1i5deeqm4wxERERERERERuSslhEVE7lNUVBR169YlLCysyOUiRERERERERESKkxLCIiL3KT4+nry8PBYvXlysLxmLj4/HxcXlbzPvrURGRt5U21dEREREREREHj4lhEVEbmHr1q1ERETg7e2NyWRixYoVdx2Tl5fHG2+8QYUKFbC2tsbX15dPPvnkzw9WRERERERERKSIShR3ACIij6Lz589Tu3ZtevfuTceOHYs0pnPnzvz66698/PHHVKlShaysLAoKCv7kSIvPpUuXsLKyKu4wREQeOb4j1hR3CLeVMbltcYcgIiIiIsVMJ4RFRG6hdevWTJgwgaeffrpI/devX8+WLVtYu3YtzZs3x9fXl9DQUBo1anTXcY8//jguLi64ubnRrl070tPTjfaMjAxMJhPLli3jySefxM7Ojtq1a7Nz586b5tqwYQMBAQE4ODjQqlUrsrKygKunnUuWLMkvv/xi1j86OprGjRsb1/Hx8ZQvXx47OzuefvppTp8+bdZ/zJgx1KlTh3nz5lGxYkVsbGwAyMzMpH379jg4OODk5GQkxq83YcIEypQpg6OjI3379mXEiBHUqVPnts/F19eXGTNmmN2rU6cOY8aMMa7PnTvHgAED8PDwwMbGhpo1a7J69WqjfenSpdSoUcM4rT1t2jSz+T744AP8/PywsbHBw8ODZ555xmgrKCggNjaWihUrYmtrS+3atfnyyy9vG6+IiIiIiIjI34USwiIiD8GqVauoV68e77zzDmXLlqVq1arExMTwxx9/3HHc+fPnGTZsGHv37iUxMRELCwuefvrpm04Wv/HGG8TExHDgwAGqVq1K165duXLlitF+4cIFpk6dysKFC9m6dSuZmZnExMQA8MQTT1CpUiUWLlxo9L98+TKLFi0yXoa3a9cu+vTpQ1RUFAcOHODJJ59kwoQJN8V77Ngxli5dyrJlyzhw4AAFBQW0b9+eM2fOsGXLFjZu3MgPP/xAly5djDGLFi1i4sSJvP322+zbt4/y5csze/bse3/I1ykoKKB169YkJyfz6aefkpKSwuTJk41azvv27aNz584899xzHDp0iDFjxjBq1Cji4+MB2Lt3L0OGDGHcuHGkpaWxfv16nnjiCWP+2NhYFixYwIcffsh3333H0KFDeeGFF9iyZcttY8rLyyMnJ8fsIyIiIiIiIvKoUckIEZGH4IcffmD79u3Y2NiwfPlyfvvtNwYNGsTp06eJi4u77bhOnTqZXX/yySe4u7uTkpJCzZo1jfsxMTG0bXv1f/MdO3YsNWrU4NixY1SrVg24muD98MMPqVy5MgBRUVGMGzfOGN+nTx/i4uJ49dVXAfjqq6+4ePEinTt3BmDmzJm0atWK4cOHA1C1alV27NjB+vXrzeK7dOkSCxYswN3dHYCNGzdy6NAhjh8/jo+PDwALFiygRo0a7Nmzh5CQEN5//3369OlDr169ABg9ejRff/01ubm59/KIzWzatIndu3eTmppK1apVAahUqZLRPn36dJo1a8aoUaOM/aSkpDBlyhQiIyPJzMzE3t6edu3a4ejoSIUKFQgKCgKuJnYnTZrEpk2bCA0NNebevn07c+bMoUmTJreMKTY2lrFjx973nkRERERERET+CjohLCLyEBQUFGAymVi0aBH169enTZs2TJ8+nfnz5/PHH3+wbds2HBwcjM+iRYsAOHr0KF27dqVSpUo4OTnh6+sLXC3DcL1atWoZP3t5eQFw8uRJ456dnZ2RDL7W5/r2yMhIjh07xn//+1/ganmIzp07Y29vD0BqaioNGjQwW/NaMvR6FSpUMJLB18b5+PgYyWCA6tWr4+LiQmpqKgBpaWnUr1/fbJ4br+/VgQMHKFeunJEMvlFqaupN5ToaNWrE0aNHyc/Pp0WLFlSoUIFKlSrRvXt3Fi1axIULF4Crp6AvXLhAixYtzL6zBQsWmJXzuNHIkSPJzs42PidOnHigPYqIiIiIiIj8GXRCWETkIfDy8qJs2bI4Ozsb9wICAigsLOSnn36iXr16HDhwwGjz8PAA4P9j786jsqrX//8/bxAQGUVRUBFQEVFRQTSHnDEcc8gh8qiIWOZBIyOHUzmXZIJDpqUWmEdTKzWP5lykkjmDlUZpElaUZgmhHxGB3x/+3F9vGUTTUHs91rrXYu/9Hq733qxc98W7a/fs2RNPT0+WLFlCtWrVyM/Pp2HDhly+fNlsfCsrK+Nnk8kEYFZW4vrr19oUFBQYx1WqVKFnz57Ex8fj7e3N5s2bSUxMvOV1Xksg320WFhZm8cPVXdDX2Nra/qXxHRwcOHz4MImJiWzbto1JkyYxZcoUDhw4YOxc3rRpE9WrVzfrZ2NjU+yYNjY2JV4XERERERERuRcoISwicge0bt2a999/n+zsbOzt7QH49ttvsbCwoEaNGtja2lKnTh2zPufOnSM1NZUlS5YYL3fbs2fPXYsxIiKC0NBQatSoQe3atc120Pr5+bFv3z6z9td2E5fEz8+P06dPc/r0aWOX8LFjxzh//jz169cHwNfXlwMHDjBkyBCj34EDB0oc19XV1XgpHkBWVhanTp0yjhs1asSPP/7It99+W+QuYT8/P5KSkszOJSUlUbduXaPOcLly5QgODiY4OJjJkyfj7OzMJ598QufOnbGxsSE9Pb3Y8hAiIiIiIiIi9yslhEVEipCdnc2JEyeM41OnTpGcnIyLiws1a9Ys1P6JJ55g+vTpDBs2jKlTp/Lbb7/x/PPPEx4eXuxu1ooVK1KpUiUWL16Mu7s76enpTJgw4a6tKSQkBEdHR2bMmGFWXxhgzJgxtG7dmtmzZ9OrVy+2bt1aqH5wUYKDg/H392fQoEHMnTuXK1euMGrUKNq1a0dQUBAAo0ePZsSIEQQFBdGqVStWr17N0aNHzWr+3qhjx44kJCTQs2dPnJ2dmTRpkpHIBWjXrh1t27blscceIy4ujjp16vDNN99gMpno0qULzz33HM2aNWP69OkMHDiQvXv3smDBAhYuXAjAxo0b+f7772nbti0VK1bk448/Jj8/H19fXxwcHIiOjubZZ58lPz+fhx9+mMzMTJKSknB0dGTo0KG3c/tF5B8kLaZ7WYcgIiIiIlIs1RAWESnCwYMHCQgIMF40NnbsWAICApg0aRIAU6ZMMer9Atjb27N9+3bOnz9PUFAQgwYNomfPnsyfP7/YOSwsLFi1ahWHDh2iYcOGPPvss7z22mt3bU0WFhaEhYWRl5dntlsXoEWLFixZsoR58+bRuHFjtm3bxosvvnjTMU0mEx999BEVK1akbdu2BAcHU6tWLVavXm20GTRoEBMnTiQ6OprAwEBOnTpFWFgY5cuXL3bciRMn0q5dO3r06EH37t3p3bu3WY1kgA8//JBmzZoRGhpK/fr1GTduHHl5eQAEBgayZs0aVq1aRcOGDZk0aRLTpk0jLCwMAGdnZ9auXUvHjh3x8/PjzTff5L333qNBgwYATJ8+nZdeeomZM2fi5+dHly5d2LRpE97e3qW61yIiIiIiIiL3KlPBjUUaRUTkpoYOHYrJZCIhIaGsQ7klw4cP5+zZs2zYsKFM4+jcuTNubm4sX768TOO4m7KysnByciIzMxNHR8eyDkdEREREREQecKX9HqqSESIit6igoIDExMS7Wu/3TsvMzOTLL79k5cqVf3sy+OLFi7z55puEhIRgaWnJe++9x44dO9i+ffvfGoeIiIiIiIiIKCEsInLLTCYTP/zwQ1mHcUt69erF/v37GTlyJJ07d/5b5zaZTHz88ce8/PLLXLp0CV9fXz788EOCg4P/1jhERERERERERCUjRETkPtG+fXuaNGnC3Llz7/jYYWFhnD9/nvXr19+xMVUyQkRERERERP5OKhkhIiJSSvPmzUN/HxUREREREZF/AiWERUTkHysvLw+TyYSTk1NZhyIi8rfwmrDpb58zLab73z6niIiIiBTPoqwDEBGR+8sHH3yAv78/tra2VKpUieDgYC5cuMCBAwfo3LkzlStXxsnJiXbt2nH48GGzvufPn+epp56iatWqlC9fnoYNG7Jx40bjelJSEu3bt6dChQpUrFiRkJAQ/vjjD+N6fn4+48aNw8XFBTc3N6ZMmWI2flxcHP7+/tjZ2eHh4cGoUaPIzs42rickJODs7MyGDRuoX78+NjY2pKenExYWRu/evY127du3Z8yYMSXOJSIiIiIiInI/UkJYRERKLSMjg9DQUMLDwzl+/DiJiYn07duXgoIC/vzzT4YOHcqePXv44osv8PHxoVu3bvz555/A1WRu165dSUpK4r///S/Hjh0jJiYGS0tLAJKTk+nUqRP169dn79697Nmzh549e5KXl2fMv2zZMuzs7Ni3bx+zZs1i2rRpbN++3bhuYWHB/Pnz+frrr1m2bBmffPIJ48aNM1vDxYsXefXVV1m6dClff/01VapUKXKtN5vrRjk5OWRlZZl9RERERERERO41eqmciIiU2uHDh2natClpaWl4enqW2DY/Px9nZ2dWrlxJjx492LZtG127duX48ePUrVu3UPsnnniC9PR09uzZU+R47du3Jy8vj927dxvnmjdvTseOHYmJiSmyzwcffMDIkSP57bffgKs7hIcNG0ZycjKNGzc22t34UrnbmWvKlClMnTq10Hm9VE5E7iUqGSEiIiLy4CrtS+W0Q1hEREqtcePGdOrUCX9/f/r378+SJUuMkg6//vorI0aMwMfHBycnJxwdHcnOziY9PR24ugO4Ro0aRSaDr13v1KlTifM3atTI7Njd3Z0zZ84Yxzt27KBTp05Ur14dBwcHBg8ezLlz57h48aLRxtrautA4tzPXjSZOnEhmZqbxOX369E3nEBEREREREfm7KSEsIiKlZmlpyfbt29m8eTP169fn9ddfx9fXl1OnTjF06FCSk5OZN28en3/+OcnJyVSqVInLly8DYGtrW+LYN7sOYGVlZXZsMpnIz88HIC0tjR49etCoUSM+/PBDDh06xBtvvAFgxHBtHpPJ9JfmKoqNjQ2Ojo5mHxEREREREZF7jRLCIiJyS0wmE61bt2bq1KkcOXIEa2tr1q1bR1JSEmPGjKFbt240aNAAGxsbo1QDXN1x++OPP/Ltt98WOW6jRo3YuXPnbcd16NAh8vPziY2NpUWLFtStW5eff/75tscTEREREREReRCVK+sARETk/rFv3z527tzJI488QpUqVdi3bx9nz57Fz88PHx8fli9fTlBQEFlZWTz//PNmu37btWtH27Zteeyxx4iLi6NOnTp88803mEwmunTpwsSJE/H392fUqFGMHDkSa2trPv30U/r370/lypVvGludOnXIzc3l9ddfp2fPniQlJfHmm2/ezdshInLfUT1fEREREdEOYRERKTVHR0d27dpFt27dqFu3Li+++CKxsbF07dqVt99+mz/++IPAwEAGDx7MmDFjqFKliln/Dz/8kGbNmhEaGkr9+vUZN24ceXl5ANStW5dt27aRkpJC8+bNadmyJR999BHlypXub5eNGzcmLi6OV199lYYNG7JixQpmzpx5x++BiIiIiIiIyP3MVFBQUFDWQYiIiDxoSvt2VxEREREREZE7obTfQ7VDWEREREREREREROQfQglhERERERERERERkX8IJYRFRIC0tDRMJhPJycl3tO3dYjKZWL9+fbHXyzpGLy8v5s6dWyZzF+Vev18iIiIiIiIif5fSvalHROQBEhYWxvnz580ShB4eHmRkZFC5cuWb9r+VtndLRkYGFStW/EtjpKWl4e3tXej83r17adGixV8a+15zJ+6XiIiIiIiIyINACWEREcDS0hI3N7c73vZuuZPz79ixgwYNGhjHlSpVumNj3yvK+nmJiNwrvCZsKusQykxaTPeyDkFERETknqCSESJyz/jzzz8ZNGgQdnZ2uLu7M2fOHNq3b09UVJTRJicnh+joaKpXr46dnR0PPfQQiYmJxvWEhAScnZ3ZunUrfn5+2Nvb06VLFzIyMgCYMmUKy5Yt46OPPsJkMmEymUhMTCxUMuCPP/5g0KBBuLq6Ymtri4+PD/Hx8UDR5QW+/vprevTogaOjIw4ODrRp04aTJ08Wuc68vDyGDx+Ot7c3tra2+Pr6Mm/evELt3nnnHRo0aICNjQ3u7u5ERkYa124sgbB//34CAgIoX748QUFBHDlypNT3vVKlSri5uRkfKyurEtuX5jldr6j7df78eePeX1PSPczPz2fatGnUqFEDGxsbmjRpwpYtW4y+ly9fJjIyEnd3d8qXL4+npyczZ878S/frq6++omvXrtjb21O1alUGDx7Mb7/9VuK9EREREREREbnXKSEsIveMsWPHkpSUxIYNG9i+fTu7d+/m8OHDZm0iIyPZu3cvq1at4ujRo/Tv358uXbrw3XffGW0uXrzI7NmzWb58Obt27SI9PZ3o6GgAoqOjGTBggJEkzsjIoFWrVoVieemllzh27BibN2/m+PHjLFq0qNgSET/99BNt27bFxsaGTz75hEOHDhEeHs6VK1eKbJ+fn0+NGjV4//33OXbsGJMmTeI///kPa9asMdosWrSIf//73zz55JN8+eWXbNiwgTp16hQ5XnZ2Nj169KB+/focOnSIKVOmGOstjUcffZQqVarw8MMPs2HDhpu2L81zulU3u4fz5s0jNjaW2bNnc/ToUUJCQnj00UeN5z5//nw2bNjAmjVrSE1NZcWKFXh5eRU5V2nu1/nz5+nYsSMBAQEcPHiQLVu28OuvvzJgwIBi15CTk0NWVpbZR0REREREROReo5IRInJP+PPPP1m2bBkrV66kU6dOAMTHx1OtWjWjTXp6OvHx8aSnpxvno6Oj2bJlC/Hx8bzyyisA5Obm8uabb1K7dm3gahJ52rRpANjb22Nra0tOTk6JZQTS09MJCAggKCgIoNjkIsAbb7yBk5MTq1atMnbX1q1bt9j2VlZWTJ061Tj29vZm7969rFmzxkg4zpgxg+eee45nnnnGaNesWbMix1u5ciX5+fm8/fbblC9fngYNGvDjjz/y9NNPFxsDXL0XsbGxtG7dGgsLCz788EN69+7N+vXrefTRR4vsU5rndDtudg9nz57N+PHjefzxxwF49dVX+fTTT5k7dy5vvPEG6enp+Pj48PDDD2MymfD09Cx2rtLcrwULFhAQEGD8TsHVHdseHh58++23RT7fmTNnmj1XERERERERkXuREsIick/4/vvvyc3NpXnz5sY5JycnfH19jeMvv/ySvLy8Qsm4nJwcs7q3FSpUMJLBAO7u7pw5c+aW4nn66ad57LHHOHz4MI888gi9e/cucicxQHJyMm3atLlpqYXrvfHGG7zzzjukp6fzf//3f1y+fJkmTZoAcObMGX7++Wcj4Xozx48fp1GjRpQvX94417JlS7M2DRo04IcffgCgTZs2bN68mcqVKzN27FijTbNmzfj555957bXXePTRR9m9ezddu3Y1rr/11ls0bNjwps/pdpR0D7Oysvj5559p3bq12fnWrVuTkpICXH1RYOfOnfH19aVLly706NGDRx55pMi5SnO/UlJS+PTTT7G3ty/U/+TJk0UmhCdOnGh2P7OysvDw8Chh1SIiIiIiIiJ/PyWEReS+kZ2djaWlJYcOHcLS0tLs2vWJuxuTiiaTiYKCgluaq2vXrvzwww98/PHHbN++nU6dOvHvf/+b2bNnF2pra2t7S2OvWrWK6OhoYmNjadmyJQ4ODrz22mvs27fvtsYrjY8//pjc3Nybjv/QQw+xfft2AIKCgszq/latWpXvv//+lue2sLhanej6Z3Atlmv+6poDAwM5deoUmzdvZseOHQwYMIDg4GA++OCD2xovOzubnj178uqrrxa65u7uXmQfGxsbbGxsbms+ERERERERkb+LagiLyD2hVq1aWFlZceDAAeNcZmYm3377rXEcEBBAXl4eZ86coU6dOmafkso/3Mja2pq8vLybtnN1dWXo0KH897//Ze7cuSxevLjIdo0aNWL37t2FkpzFSUpKolWrVowaNYqAgADq1Klj9gI6BwcHvLy82LlzZ6nG8/Pz4+jRo1y6dMk498UXX5i18fT0NO5V9erVix0rOTnZSHja2tqa3WMHB4dSPacbubq6Ahgv9rs2z/VKuoeOjo5Uq1aNpKQks/NJSUnUr1/frN3AgQNZsmQJq1ev5sMPP+T3338vNF5p7ldgYCBff/01Xl5ehX7X7Ozsil2riIiIiIiIyL1OO4RF5J7g4ODA0KFDef7553FxcaFKlSpMnjwZCwsLTCYTcLWm7KBBgxgyZAixsbEEBARw9uxZdu7cSaNGjejevXup5vLy8mLr1q2kpqZSqVIlnJycCrWZNGkSTZs2pUGDBuTk5LBx40b8/PyKHC8yMpLXX3+dxx9/nIkTJ+Lk5MQXX3xB8+bNiyyl4OPjw7vvvsvWrVvx9vZm+fLlHDhwAG9vb6PNlClTGDlyJFWqVKFr1678+eefJCUlMXr06ELjPfHEE7zwwguMGDGCiRMnkpaWVuRO5hstW7YMa2trAgICAFi7di3vvPMOS5cuLbZPaZ7TjWxtbWnRogUxMTF4e3tz5swZXnzxxVu6h88//zyTJ0+mdu3aNGnShPj4eJKTk1mxYgUAcXFxuLu7ExAQgIWFBe+//z5ubm44Ozvf1v3697//zZIlSwgNDWXcuHG4uLhw4sQJVq1axdKlSwvtUBcRuV+kxZTu30oREREReXBph7CI3DPi4uJo2bIlPXr0IDg4mNatW+Pn52dW6zU+Pp4hQ4bw3HPP4evrS+/evTlw4AA1a9Ys9TwjRozA19eXoKAgXF1dC+08hau7iCdOnEijRo1o27YtlpaWrFq1qsjxKlWqxCeffEJ2djbt2rWjadOmLFmypNiawk899RR9+/Zl4MCBPPTQQ5w7d45Ro0aZtRk6dChz585l4cKFNGjQgB49evDdd98VOZ69vT3/+9//+PLLLwkICOCFF14ostRBUaZPn07Tpk156KGH+Oijj1i9ejXDhg0rsU9pntON3nnnHa5cuULTpk2JiopixowZZtdvdg/HjBnD2LFjee655/D392fLli1s2LABHx8f4GqietasWQQFBdGsWTPS0tL4+OOPjXIVt3q/ru1IzsvL45FHHsHf35+oqCicnZ2LHFNERERERETkfmEquNXCmiIif5MLFy5QvXp1YmNjGT58eFmHI8XQcypaVlYWTk5OZGZm4ujoWNbhiIiIiIiIyAOutN9DVTJCRO4ZR44c4ZtvvqF58+ZkZmYybdo0AHr16lXGkcn19JxERERERERE7l9KCIvIPWX27NmkpqZibW1N06ZN2b17N5UrVy7rsOQGek4iIiIiIiIi9yeVjBARkQeCl5cXUVFRREVFlXUogEpGiIiIiIiIyN9LJSNERERERIrgNWFTWYdQZtJiupd1CCIiIiJSxvSqdBERuWcVFBRw5cqVsg5DRERERERE5IGhhLCIiNyyDz74AH9/f2xtbalUqRLBwcFcuHCB9u3bFyrZ0Lt3b8LCwozjnJwcxo8fj4eHBzY2NtSpU4e3334bgMTEREwmE5s3b6Zp06bY2NiwZ88eTp48Sa9evahatSr29vY0a9aMHTt2lBhjeno6vXr1wt7eHkdHRwYMGMCvv/5qXE9JSaFDhw44ODjg6OhI06ZNOXjwoHF9z549tGnTBltbWzw8PBgzZgwXLlz46zdPREREREREpAwpISwiIrckIyOD0NBQwsPDOX78OImJifTt25fSlqQfMmQI7733HvPnz+f48eO89dZb2Nvbm7WZMGECMTExHD9+nEaNGpGdnU23bt3YuXMnR44coUuXLvTs2ZP09PQi58jPz6dXr178/vvvfPbZZ2zfvp3vv/+egQMHGm0GDRpEjRo1OHDgAIcOHWLChAlYWVkBcPLkSbp06cJjjz3G0aNHWb16NXv27CEyMrLYdeXk5JCVlWX2EREREREREbnXqIawiIjckoyMDK5cuULfvn3x9PQEwN/fv1R9v/32W9asWcP27dsJDg4GoFatWoXaTZs2jc6dOxvHLi4uNG7c2DiePn0669atY8OGDUUmaXfu3MmXX37JqVOn8PDwAODdd9+lQYMGHDhwgGbNmpGens7zzz9PvXr1APDx8TH6z5w5k0GDBhm7nX18fJg/fz7t2rVj0aJFlC9fvtCcM2fOZOrUqaW6DyIiIiIiIiJlRTuERUTkljRu3JhOnTrh7+9P//79WbJkCX/88Uep+iYnJ2NpaUm7du1KbBcUFGR2nJ2dTXR0NH5+fjg7O2Nvb8/x48eL3SF8/PhxPDw8jGQwQP369XF2dub48eMAjB07loiICIKDg4mJieHkyZNG25SUFBISErC3tzc+ISEh5Ofnc+rUqSLnnDhxIpmZmcbn9OnTpbonIiIiIiIiIn8nJYRFROSWWFpasn37djZv3kz9+vV5/fXX8fX15dSpU1hYWBQqHZGbm2v8bGtrW6o57OzszI6jo6NZt24dr7zyCrt37yY5ORl/f38uX7582+uYMmUKX3/9Nd27d+eTTz6hfv36rFu3DriagH7qqadITk42PikpKXz33XfUrl27yPFsbGxwdHQ0+4iIiIiIiIjca1QyQkREbpnJZKJ169a0bt2aSZMm4enpybp163B1dSUjI8Nol5eXx1dffUWHDh2Aq6Ul8vPz+eyzz4ySEaWRlJREWFgYffr0Aa4mbNPS0opt7+fnx+nTpzl9+rSxS/jYsWOcP3+e+vXrG+3q1q1L3bp1efbZZwkNDSU+Pp4+ffoQGBjIsWPHqFOnzq3cFhG5T6TFdC/rEEREREREyox2CIuIyC3Zt28fr7zyCgcPHiQ9PZ21a9dy9uxZ/Pz86NixI5s2bWLTpk188803PP3005w/f97o6+XlxdChQwkPD2f9+vWcOnWKxMRE1qxZU+KcPj4+rF271tip+8QTT5Cfn19s++DgYPz9/Rk0aBCHDx9m//79DBkyhHbt2hEUFMT//d//ERkZSWJiIj/88ANJSUkcOHAAPz8/AMaPH8/nn39OZGQkycnJfPfdd3z00UclvlRORERERERE5H6gHcIiInJLHB0d2bVrF3PnziUrKwtPT09iY2Pp2rUrubm5pKSkMGTIEMqVK8ezzz5r7A6+ZtGiRfznP/9h1KhRnDt3jpo1a/Kf//ynxDnj4uIIDw+nVatWVK5cmfHjx5OVlVVse5PJxEcffcTo0aNp27YtFhYWdOnShddffx24Wvbi3LlzDBkyhF9//ZXKlSvTt29f46VwjRo14rPPPuOFF16gTZs2FBQUULt2bQYOHPgX756IiIiIiIhI2TIV3FjsUURERP6yrKwsnJycyMzMVD1hERERERERuetK+z1UJSNERERERERERERE/iGUEBYRkTsuMTERk8lkVj+4rISFhdG7d++yDkNERERERETknqAawiIi8pe1b9+eJk2aMHfu3LIOpZB58+ah6kgiIiIiIiIiVykhLCIiDzQnJ6eyDkFE5J7hNWFTWYdw30mL6V7WIYiIiIjcUSoZISIif0lYWBifffYZ8+bNw2QyYTKZSEtLA+DQoUMEBQVRoUIFWrVqRWpqqlnfjz76iMDAQMqXL0+tWrWYOnUqV65cMa7HxcXh7++PnZ0dHh4ejBo1iuzsbON6QkICzs7ObN26FT8/P+zt7enSpQsZGRlm8V1fMqJ9+/aMGTOGcePG4eLigpubG1OmTDGL6/z580RERODq6oqjoyMdO3YkJSXlzt00ERERERERkTKihLCIiPwl8+bNo2XLlowYMYKMjAwyMjLw8PAA4IUXXiA2NpaDBw9Srlw5wsPDjX67d+9myJAhPPPMMxw7doy33nqLhIQEXn75ZaONhYUF8+fP5+uvv2bZsmV88sknjBs3zmz+ixcvMnv2bJYvX86uXbtIT08nOjq6xJiXLVuGnZ0d+/btY9asWUybNo3t27cb1/v378+ZM2fYvHkzhw4dIjAwkE6dOvH777/fiVsmIiIiIiIiUmaUEBYRkb/EyckJa2trKlSogJubG25ublhaWgLw8ssv065dO+rXr8+ECRP4/PPPuXTpEgBTp05lwoQJDB06lFq1atG5c2emT5/OW2+9ZYwdFRVFhw4d8PLyomPHjsyYMYM1a9aYzZ+bm8ubb75JUFAQgYGBREZGsnPnzhJjbtSoEZMnT8bHx4chQ4YQFBRk9NmzZw/79+/n/fffJygoCB8fH2bPno2zszMffPBBsWPm5OSQlZVl9hERERERERG516iGsIiI3DWNGjUyfnZ3dwfgzJkz1KxZk5SUFJKSksx2BOfl5XHp0iUuXrxIhQoV2LFjBzNnzuSbb74hKyuLK1eumF0HqFChArVr1zab58yZM6WO68Y+KSkpZGdnU6lSJbM2//d//8fJkyeLHXPmzJlMnTq1xHlFREREREREypoSwiIictdYWVkZP5tMJgDy8/MByM7OZurUqfTt27dQv/Lly5OWlkaPHj14+umnefnll3FxcWHPnj0MHz6cy5cvGwnh6+e4Nk9BQUGp47rW5/q43N3dSUxMLNTP2dm52DEnTpzI2LFjjeOsrCyjdIaIiIiIiIjIvUIJYRER+cusra3Jy8u7pT6BgYGkpqZSp06dIq8fOnSI/Px8YmNjsbC4WuHoxnIRd0NgYCC//PIL5cqVw8vLq9T9bGxssLGxuXuBiYiIiIiIiNwBSgiLiMhf5uXlxb59+0hLS8Pe3t7YbVuSSZMm0aNHD2rWrEm/fv2wsLAgJSWFr776ihkzZlCnTh1yc3N5/fXX6dmzJ0lJSbz55pt3fS3BwcG0bNmS3r17M2vWLOrWrcvPP//Mpk2b6NOnD0FBQXc9BhGRuyUtpntZhyAiIiIiZUwvlRMRkb8sOjoaS0tL6tevj6urK+np6TftExISwsaNG9m2bRvNmjWjRYsWzJkzB09PTwAaN25MXFwcr776Kg0bNmTFihXMnDnzbi8Fk8nExx9/TNu2bRk2bBh169bl8ccf54cffqBq1ap3fX4RERERERGRu8lUcLNCiyIiInLLsrKycHJyIjMzE0dHx7IOR0RERERERB5wpf0eqh3CIiIiIiIiIiIiIv8QSgiLiIiIiIiIiIiI/EMoISwiIiIiIiIiIiLyD6GEsIiIlLmwsDB69+5d6HxiYiImk4nz588bPxf1+eWXXwCYMmWKca5cuXJ4eXnx7LPPkp2dDUBaWlqxY3zxxRcA5OXlERMTQ7169bC1tcXFxYWHHnqIpUuX/m33Q0RERERERORuKVfWAYiIiNyK1NTUQsXxq1SpYvzcoEEDduzYwZUrV0hKSiI8PJyLFy/y1ltvGW127NhBgwYNzMaoVKkSAFOnTuWtt95iwYIFBAUFkZWVxcGDB/njjz/u4qpE7l9eEzaVdQhyC9Jiupd1CCIiIiJSxpQQFhGR+0qVKlVwdnYu9nq5cuVwc3MDYODAgezcuZMNGzaYJYQrVapktLnRhg0bGDVqFP379zfONW7c+M4ELyIiIiIiIlLGVDJCREQeaLa2tly+fLnU7d3c3Pjkk084e/bsXYxKREREREREpGxoh7CIiNwTNm7ciL29vdm5vLy8Qu1q1Khhduzp6cnXX39d5JiHDh1i5cqVdOzY0ex8q1atsLAw/5votTrDcXFx9OvXDzc3Nxo0aECrVq3o1asXXbt2LTH+nJwccnJyjOOsrKwS24uIiIiIiIiUBSWERUTkntChQwcWLVpkdm7fvn3861//Mju3e/duHBwcjGMrKyuz619++SX29vbk5eVx+fJlunfvzoIFC8zarF69Gj8/vyLjqF+/Pl999RWHDh0iKSmJXbt20bNnT8LCwkp8sdzMmTOZOnVqqdYqIiIiIiIiUlaUEBYRkXuCnZ0dderUMTv3448/Fmrn7e1dYg1hX19fNmzYQLly5ahWrRrW1taF2nh4eBSa63oWFhY0a9aMZs2aERUVxX//+18GDx7MCy+8gLe3d5F9Jk6cyNixY43jrKwsPDw8ip1DREREREREpCwoISwiIg8Ua2vrEpO9t6N+/foAXLhwodg2NjY22NjY3NF5RURERERERO40JYRFROS+cubMGS5dumR2rlKlSoVKR5Tk3Llz/PLLL2bnnJ2dKV++PP369aN169a0atUKNzc3Tp06xcSJE6lbty716tW7I2sQeZCkxXQv6xBEREREROQWWNy8iYiIyL3D19cXd3d3s8+hQ4duaYzg4OBCY6xfvx6AkJAQ/ve//9GzZ0/q1q3L0KFDqVevHtu2baNcOf0dVURERERERO5vpoKCgoKyDkJERORBk5WVhZOTE5mZmTg6OpZ1OCIiIiIiIvKAK+33UO0QFhEREREREREREfmHUEJYRERERERERERE5B9CCWEREbklXl5ezJ07t9Tt27dvT1RU1C3NYTKZjJq+f1ViYiImk4nz58/fkfFERERERERE7mdKCIuIyAOtVatWZGRk4OTkVNahiIiIiIiIiJQ5vS5dREQeaNbW1ri5uZV1GHKXeU3YVNYhiNwX0mK6l3UIIiIiIlLGtENYROQfZPHixVSrVo38/Hyz87169SI8PJyTJ0/Sq1cvqlatir29Pc2aNWPHjh3FjhceHk6PHj3MzuXm5lKlShXefvvtIvtkZGTQvXt3bG1t8fb2ZuXKlSWWoejYsSORkZFm586ePYu1tTU7d+4EICcnh/Hjx+Ph4YGNjQ116tQx5r+xZERCQgLOzs5s3boVPz8/7O3t6dKlCxkZGWZzLF26FD8/P8qXL0+9evVYuHBhsfdBRERERERE5H6hhLCIyD9I//79OXfuHJ9++qlx7vfff2fLli0MGjSI7OxsunXrxs6dOzly5AhdunShZ8+epKenFzleREQEW7ZsMUumbty4kYsXLzJw4MAi+wwZMoSff/6ZxMREPvzwQxYvXsyZM2eKjTkiIoKVK1eSk5NjnPvvf/9L9erV6dixozHme++9x/z58zl+/DhvvfUW9vb2xY558eJFZs+ezfLly9m1axfp6elER0cb11esWMGkSZN4+eWXOX78OK+88govvfQSy5YtK3ZMERERERERkfuBSkaIiPyDVKxYka5du7Jy5Uo6deoEwAcffEDlypXp0KEDFhYWNG7c2Gg/ffp01q1bx4YNGwrt0oWr9Xl9fX1Zvnw548aNAyA+Pp7+/fsXmZD95ptv2LFjBwcOHCAoKAi4uhPXx8en2Jj79u1LZGQkH330EQMGDACu7vINCwvDZDLx7bffsmbNGrZv305wcDAAtWrVKvE+5Obm8uabb1K7dm0AIiMjmTZtmnF98uTJxMbG0rdvXwC8vb05duwYb731FkOHDi1yzJycHLOkdVZWVokxiIiIiIiIiJQF7RAWEfmHGTRoEB9++KGRvFyxYgWPP/44FhYWZGdnEx0djZ+fH87Oztjb23P8+PFidwjD1R288fHxAPz6669s3ryZ8PDwItumpqZSrlw5AgMDjXN16tShYsWKxY5fvnx5Bg8ezDvvvAPA4cOH+eqrrwgLCwMgOTkZS0tL2rVrV+p7UKFCBSMZDODu7m7sUr5w4QInT55k+PDh2NvbG58ZM2Zw8uTJYsecOXMmTk5OxsfDw6PU8YiIiIiIiIj8XbRDWETkH6Znz54UFBSwadMmmjVrxu7du5kzZw4A0dHRbN++ndmzZ1OnTh1sbW3p168fly9fLna8IUOGMGHCBPbu3cvnn3+Ot7c3bdq0uaMxR0RE0KRJE3788Ufi4+Pp2LEjnp6eANja2t7yeFZWVmbHJpOJgoICALKzswFYsmQJDz30kFk7S0vLYsecOHEiY8eONY6zsrKUFBYREREREZF7jhLCIiL/MOXLl6dv376sWLGCEydO4Ovra+zYTUpKIiwsjD59+gBXk6NpaWkljlepUiV69+5NfHw8e/fuZdiwYcW29fX15cqVKxw5coSmTZsCcOLECf74448S5/D39ycoKIglS5awcuVKFixYYHYtPz+fzz77zCgZ8VdUrVqVatWq8f333zNo0KBS97OxscHGxuYvzy8iIiIiIiJyNykhLCLyDzRo0CB69OjB119/zb/+9S/jvI+PD2vXrqVnz56YTCZeeukl8vPzbzpeREQEPXr0IC8vr9gauwD16tUjODiYJ598kkWLFmFlZcVzzz2Hra0tJpPppnNERkZiZ2dnJKwBvLy8GDp0KOHh4cyfP5/GjRvzww8/cObMGaPm8K2aOnUqY8aMwcnJiS5dupCTk8PBgwf5448/zHYBy70jLaZ7WYcgIiIiIiJyX1ANYRGRf6COHTvi4uJCamoqTzzxhHE+Li6OihUr0qpVK3r27ElISIhZvd/iBAcH4+7uTkhICNWqVSux7bvvvkvVqlVp27Ytffr0YcSIETg4OFC+fPkS+4WGhlKuXDlCQ0MLtV20aBH9+vVj1KhR1KtXjxEjRnDhwoWbxl2ciIgIli5dSnx8PP7+/rRr146EhAS8vb1ve0wRERERERGRe4Gp4FrRRBERkduUnZ1N9erViY+Pp2/fvrfU98cff8TDw4MdO3bQqVOnYtulpaVRu3ZtDhw4UKokdVnLysrCycmJzMxMHB0dyzocERERERERecCV9nuoSkaIiMhty8/P57fffiM2NhZnZ2ceffTRm/b55JNPyM7Oxt/fn4yMDMaNG4eXlxdt27Ytsn1ubi7nzp3jxRdfpEWLFvdFMlhERERERETkXqWEsIiI3Lb09HS8vb2pUaMGCQkJlCt3839WcnNz+c9//sP333+Pg4MDrVq1YsWKFVhZWRXZPikpiQ4dOlC3bl0++OCDO70EERERERERkX8U1RAWkQeWl5cXc+fOLeswCAsLo3fv3mUdxk0lJiZiMpk4f/58qfskJCTQuHFjTp8+XWK5h+uFhITw1VdfcfHiRX799VfWrVuHp6dnse3bt29PQUEBqamp+Pv7lzo2uL01iYiIiIiIiDzIlBAWEXkAmUwm1q9fX9ZhFOnvTNS3atWKjIwMnJyc/pb5RERERERERO51KhkhIiIPLGtra9zc3Mo6DBGRe4bXhE1lHcJtSYvpXtYhiIiIiDwwtENYRO5b7du3JzIyksjISJycnKhcuTIvvfQSBQUFRpuLFy8SHh6Og4MDNWvWZPHixWZjnD59mgEDBuDs7IyLiwu9evUiLS3NuH6t3MPs2bNxd3enUqVK/Pvf/yY3NxeAadOm0bBhw0KxNWnShJdeeqnIuLds2cLDDz+Ms7MzlSpVokePHpw8edKszY8//khoaCguLi7Y2dkRFBTEvn37jOsfffQRgYGBlC9fnlq1ajF16lSuXLkCXN2BC9CnTx9MJhNeXl6kpaVhYWHBwYMHzeaZO3cunp6e5OfnFxnrkiVL8PDwoEKFCvTp04e4uDicnZ2LbAtXn0lUVJTZud69exMWFmZc/+GHH3j22WcxmUyYTCYAzp07R2hoKNWrV6dChQr4+/vz3nvvFRp79OjRREVFUbFiRapWrcqSJUu4cOECw4YNw8HBgTp16rB582ajz40lIxISEnB2dmbr1q34+flhb29Ply5dyMjIMJtr6dKl+Pn5Ub58eerVq8fChQuLXbOIiIiIiIjI/UQJYRG5ry1btoxy5cqxf/9+5s2bR1xcHEuXLjWux8bGEhQUxJEjRxg1ahRPP/00qampwNWXm4WEhODg4MDu3btJSkoyEoSXL182xvj00085efIkn376KcuWLSMhIYGEhAQAwsPDOX78OAcOHDDaHzlyhKNHjzJs2LAiY75w4QJjx47l4MGD7Ny5EwsLC/r06WMkZbOzs2nXrh0//fQTGzZsICUlhXHjxhnXd+/ezZAhQ3jmmWc4duwYb731FgkJCbz88ssARizx8fFkZGRw4MABvLy8CA4OJj4+3iyW+Ph4wsLCsLAo/M9BUlISI0eO5JlnniE5OZnOnTsbc9yutWvXUqNGDaZNm0ZGRoaRiL106RJNmzZl06ZNfPXVVzz55JMMHjyY/fv3m/VftmwZlStXZv/+/YwePZqnn36a/v3706pVKw4fPswjjzzC4MGDuXjxYrExXLx4kdmzZ7N8+XJ27dpFeno60dHRxvUVK1YwadIkXn75ZY4fP84rr7zCSy+9xLJly0pcW05ODllZWWYfERERERERkXuNSkaIyH3Nw8ODOXPmYDKZ8PX15csvv2TOnDmMGDECgG7dujFq1CgAxo8fz5w5c/j000/x9fVl9erV5Ofns3TpUmOnanx8PM7OziQmJvLII48AULFiRRYsWIClpSX16tWje/fu7Ny5kxEjRlCjRg1CQkKIj4+nWbNmxhjt2rWjVq1aRcb82GOPmR2/8847uLq6cuzYMRo2bMjKlSs5e/YsBw4cwMXFBYA6deoY7adOncqECRMYOnQoALVq1WL69OmMGzeOyZMn4+rqCoCzs7NZuYSIiAhGjhxJXFwcNjY2HD58mC+//JKPPvqoyDhff/11unbtaiRL69aty+eff87GjRtL+3gKcXFxwdLSEgcHB7PYqlevbpaUHT16NFu3bmXNmjU0b97cON+4cWNefPFFACZOnEhMTAyVK1c2nvekSZNYtGgRR48epUWLFkXGkJuby5tvvknt2rUBiIyMZNq0acb1yZMnExsbS9++fQHw9vY2Eu/X7nlRZs6cydSpU2/1loiIiIiIiIj8rbRDWETuay1atDCSuQAtW7bku+++Iy8vD4BGjRoZ10wmE25ubpw5cwaAlJQUTpw4gYODA/b29tjb2+Pi4sKlS5fMSjg0aNAAS0tL49jd3d0YA2DEiBG89957XLp0icuXL7Ny5UrCw8OLjfm7774jNDSUWrVq4ejoaJR4SE9PByA5OZmAgAAjGXyjlJQUpk2bZsRsb2/PiBEjyMjIKHFnbO/evbG0tGTdunXA1fIJHTp0MOa/UWpqqlkyFih0fKfk5eUxffp0/P39cXFxwd7enq1btxr35Jrrn6elpSWVKlXC39/fOFe1alUAs+dzowoVKhjJYDB/nhcuXODkyZMMHz7c7P7OmDGjUFmPG02cOJHMzEzjc/r06dLfABEREREREZG/iXYIi8gDzcrKyuzYZDKZlWZo2rQpK1asKNTv2i7bm40B0LNnT2xsbFi3bh3W1tbk5ubSr1+/YmPq2bMnnp6eLFmyhGrVqpGfn0/Dhg2NMhW2trYlrik7O5upU6caO1ivV758+WL7WVtbM2TIEOLj4+nbty8rV65k3rx5Jc51qywsLMxqOANGveWSvPbaa8ybN4+5c+fi7++PnZ0dUVFRZqU7oOhncf25a38cKK4mcnFjXIs5OzsbuFo7+aGHHjJrd/0fBYpiY2ODjY1NiW1EREREREREypoSwiJyX7v+RWsAX3zxBT4+PjdN3gEEBgayevVqqlSpgqOj423HUK5cOYYOHUp8fDzW1tY8/vjjxSZ1z507R2pqKkuWLKFNmzYA7Nmzx6xNo0aNWLp0Kb///nuRu4QDAwNJTU01KyNxIysrK2OX9PUiIiJo2LAhCxcu5MqVK0Umla/x9fU1q40MFDq+kaurq9kL2vLy8vjqq6/o0KGDcc7a2rpQbElJSfTq1Yt//etfwNWE7rfffkv9+vVLnO9Oq1q1KtWqVeP7779n0KBBf+vcIiIiIiIiIn8HJYRF5L6Wnp7O2LFjeeqppzh8+DCvv/46sbGxpeo7aNAgXnvtNXr16sW0adOoUaMGP/zwA2vXrmXcuHHUqFGj1HFERETg5+cHXE1uFqdixYpUqlSJxYsX4+7uTnp6OhMmTDBrExoayiuvvELv3r2ZOXMm7u7uHDlyhGrVqtGyZUsmTZpEjx49qFmzJv369cPCwoKUlBS++uorZsyYAYCXlxc7d+6kdevW2NjYULFiRQD8/Pxo0aIF48ePJzw8vMTdyKNHj6Zt27bExcXRs2dPPvnkEzZv3mxWouNGHTt2ZOzYsWzatInatWsTFxfH+fPnzdp4eXmxa9cuHn/8cWxsbKhcuTI+Pj588MEHfP7551SsWJG4uDh+/fXXvz0hDFdrNI8ZMwYnJye6dOlCTk4OBw8e5I8//mDs2LF/ezwiIndSWkz3sg5BRERERMqYagiLyH1tyJAh/N///R/Nmzfn3//+N8888wxPPvlkqfpWqFCBXbt2UbNmTfr27Yufnx/Dhw/n0qVLt7xj2MfHh1atWlGvXr1CpQauZ2FhwapVqzh06BANGzbk2Wef5bXXXjNrY21tzbZt26hSpQrdunXD39+fmJgYY9dzSEgIGzduZNu2bTRr1owWLVowZ84cPD09jTFiY2PZvn07Hh4eBAQEmI0/fPhwLl++XGKdY4DWrVvz5ptvEhcXR+PGjdmyZQvPPvtsiWUpwsPDGTp0KEOGDDFerHf97mCAadOmkZaWRu3atY3SHC+++CKBgYGEhITQvn173Nzc6N27d4nx3S0REREsXbqU+Ph4/P39adeuHQkJCXh7e5dJPCIiIiIiIiJ3kqngxmKPIiL3ifbt29OkSRPmzp1b1qFQUFCAj48Po0aNuud3kU6fPp3333+fo0eP3nLfESNG8M0337B79+67ENmDJSsrCycnJzIzM/9SSRIRERERERGR0ijt91CVjBAR+YvOnj3LqlWr+OWXXxg2bFhZh1Os7Oxs0tLSWLBggVFa4mZmz55N586dsbOzY/PmzSxbtoyFCxfe5UhFRERERERE5G5RQlhE5C+qUqUKlStXZvHixUat3ntRZGQk7733Hr17975puYhr9u/fz6xZs/jzzz+pVasW8+fPJyIi4i5HKiIiIiIiIiJ3i0pGiMgDycvLi6ioKKKioso0jrCwMM6fP8/69evLNI6bSUxMpEOHDvzxxx84OzuXqs+UKVNYv349ycnJdzW2+5VKRoiIiIiIiMjfqbTfQ/VSORGRB4zJZLpnE9BeXl73RM3na8LCwsrs5XUiIiIiIiIiZUElI0RERERE/iG8Jmwq6xDuaWkx3cs6BBEREZG7TjuEReS+1L59eyIjI4mMjMTJyYnKlSvz0ksvcX0VnIsXLxIeHo6DgwM1a9Zk8eLFZmOcPn2aAQMG4OzsjIuLC7169SItLc24fm336OzZs3F3d6dSpUr8+9//Jjc3F4Bp06bRsGHDQrE1adKEl156qci4t2zZwsMPP4yzszOVKlWiR48enDx50qzNjz/+SGhoKC4uLtjZ2REUFMS+ffuM6x999BGBgYGUL1+eWrVqMXXqVK5cuQJc3YEL0KdPH0wmE15eXqSlpWFhYcHBgwfN5pk7dy6enp7k5+cXGeuSJUvw8PCgQoUK9OnTh7i4uBLLSbRv375QiY7evXsTFhZmXP/hhx949tlnMZlMmEwmAM6dO0doaCjVq1enQoUK+Pv789577xUae/To0URFRVGxYkWqVq3KkiVLuHDhAsOGDcPBwYE6deqwefNmo09eXh7Dhw/H29sbW1tbfH19mTdvnnF9ypQpLFu2jI8++siIJzExEbj574aIiIiIiIjI/UoJYRG5by1btoxy5cqxf/9+5s2bR1xcHEuXLjWux8bGEhQUxJEjRxg1ahRPP/00qampAOTm5hISEoKDgwO7d+8mKSkJe3t7unTpwuXLl40xPv30U06ePMmnn37KsmXLSEhIICEhAYDw8HCOHz/OgQMHjPZHjhzh6NGjDBs2rMiYL1y4wNixYzl48CA7d+7EwsKCPn36GEnZ7Oxs2rVrx08//cSGDRtISUlh3LhxxvXdu3czZMgQnnnmGY4dO8Zbb71FQkICL7/8MoARS3x8PBkZGRw4cAAvLy+Cg4OJj483iyU+Pp6wsDAsLAr/U5CUlMTIkSN55plnSE5OpnPnzsYct2vt2rXUqFGDadOmkZGRQUZGBgCXLl2iadOmbNq0ia+++oonn3ySwYMHs3//frP+y5Yto3Llyuzfv5/Ro0fz9NNP079/f1q1asXhw4d55JFHGDx4MBcvXgQgPz+fGjVq8P7773Ps2DEmTZrEf/7zH9asWQNAdHQ0AwYMoEuXLkY8rVq1KvXvxo1ycnLIysoy+4iIiIiIiIjca1QyQkTuWx4eHsyZMweTyYSvry9ffvklc+bMYcSIEQB069aNUaNGATB+/HjmzJnDp59+iq+vL6tXryY/P5+lS5caO1Xj4+NxdnYmMTGRRx55BICKFSuyYMECLC0tqVevHt27d2fnzp2MGDGCGjVqEBISQnx8PM2aNTPGaNeuHbVq1Soy5scee8zs+J133sHV1ZVjx47RsGFDVq5cydmzZzlw4AAuLi4A1KlTx2g/depUJkyYwNChQwGoVasW06dPZ9y4cUyePBlXV1cAnJ2dcXNzM/pFREQwcuRI4uLisLGx4fDhw3z55Zd89NFHRcb5+uuv07VrV6KjowGoW7cun3/+ORs3bizt4ynExcUFS0tLHBwczGKrXr26MQ/A6NGj2bp1K2vWrKF58+bG+caNG/Piiy8CMHHiRGJiYqhcubLxvCdNmsSiRYs4evQoLVq0wMrKiqlTpxr9vb292bt3L2vWrGHAgAHY29tja2tLTk6OWTz//e9/S/W7caOZM2eazSciIiIiIiJyL9IOYRG5b7Vo0cJI2AG0bNmS7777jry8PAAaNWpkXDOZTLi5uXHmzBkAUlJSOHHiBA4ODtjb22Nvb4+LiwuXLl0yK+HQoEEDLC0tjWN3d3djDIARI0bw3nvvcenSJS5fvszKlSsJDw8vNubvvvuO0NBQatWqhaOjo1HiIT09HYDk5GQCAgKMZPCNUlJSmDZtmhGzvb09I0aMICMjw9gZW5TevXtjaWnJunXrAEhISKBDhw7G/DdKTU01S8YChY7vlLy8PKZPn46/vz8uLi7Y29uzdetW455cc/3ztLS0pFKlSvj7+xvnqlatCmD2fN544w2aNm2Kq6sr9vb2LF68uNC4Nyrt78aNJk6cSGZmpvE5ffr0Ld0HERERERERkb+DdgiLyAPLysrK7NhkMpmVZmjatCkrVqwo1O/aLtubjQHQs2dPbGxsWLduHdbW1uTm5tKvX79iY+rZsyeenp4sWbKEatWqkZ+fT8OGDY1SBLa2tiWuKTs7m6lTp9K3b99C18qXL19sP2tra4YMGUJ8fDx9+/Zl5cqVZvV07wQLCwuzGs6AUW+5JK+99hrz5s1j7ty5+Pv7Y2dnR1RUVKHyDEU9i+vPXfvjwLXns2rVKqKjo4mNjaVly5Y4ODjw2muvmdVjLkppfzduZGNjg42NTcmLFRERERERESljSgiLyH3rxsTeF198gY+Pj9mO3uIEBgayevVqqlSpgqOj423HUK5cOYYOHUp8fDzW1tY8/vjjxSZ1z507R2pqKkuWLKFNmzYA7Nmzx6xNo0aNWLp0Kb///nuRu4QDAwNJTU01KyNxIysrK2OX9PUiIiJo2LAhCxcu5MqVK0Umla/x9fU1q40MFDq+kaurq1EXGK7u/P3qq6/o0KGDcc7a2rpQbElJSfTq1Yt//etfwNWE7rfffkv9+vVLnO9mkpKSaNWqlVE2BCi0w7eoeO7U74aIiIiIiIjIvUgJYRG5b6WnpzN27FieeuopDh8+zOuvv05sbGyp+g4aNIjXXnuNXr16MW3aNGrUqMEPP/zA2rVrGTduHDVq1Ch1HBEREfj5+QFXk5DFqVixIpUqVWLx4sW4u7uTnp7OhAkTzNqEhobyyiuv0Lt3b2bOnIm7uztHjhyhWrVqtGzZkkmTJtGjRw9q1qxJv379sLCwICUlha+++ooZM2YA4OXlxc6dO2ndujU2NjZUrFgRAD8/P1q0aMH48eMJDw8vcTfy6NGjadu2LXFxcfTs2ZNPPvmEzZs3m5XouFHHjh0ZO3YsmzZtonbt2sTFxXH+/HmzNl5eXuzatYvHH38cGxsbKleujI+PDx988AGff/45FStWJC4ujl9//fUvJ4R9fHx499132bp1K97e3ixfvpwDBw7g7e1tFs/WrVtJTU2lUqVKODk53dHfDRGRe01aTPeyDkFEREREyphqCIvIfWvIkCH83//9H82bN+ff//43zzzzDE8++WSp+laoUIFdu3ZRs2ZN+vbti5+fH8OHD+fSpUu3vCvUx8eHVq1aUa9ePR566KFi21lYWLBq1SoOHTpEw4YNefbZZ3nttdfM2lhbW7Nt2zaqVKlCt27d8Pf3JyYmxtj1HBISwsaNG9m2bRvNmjWjRYsWzJkzB09PT2OM2NhYtm/fjoeHBwEBAWbjDx8+nMuXL5dY5xigdevWvPnmm8TFxdG4cWO2bNnCs88+W2JZivDwcIYOHcqQIUOMF+tdvzsYYNq0aaSlpVG7dm2j/MKLL75IYGAgISEhtG/fHjc3N3r37l1ifKXx1FNP0bdvXwYOHMhDDz3EuXPnzHYLw9Ua0L6+vgQFBeHq6kpSUtId/d0QERERERERudeYCm4s+Cgich9o3749TZo0Ye7cuWUdCgUFBfj4+DBq1CjGjh1b1uGUaPr06bz//vscPXr0lvuOGDGCb775ht27d9+FyB48WVlZODk5kZmZqUSyiIiIiIiI3HWl/R6qkhEiIn/B2bNnWbVqFb/88gvDhg0r63CKlZ2dTVpaGgsWLDBKS9zM7Nmz6dy5M3Z2dmzevJlly5axcOHCuxypiIiIiIiIiNxNSgiLiPwFVapUoXLlyixevNio1XsvioyM5L333qN37943LRdxzf79+5k1axZ//vkntWrVYv78+URERNzlSEVERERERETkblLJCBERKZLJZGLdunV3pJ5vWSqrdahkhIiIiIiIiPydSvs9VC+VExG5A8LCwjCZTMTExJidX79+PSaTqYyiuqp9+/ZERUWVaQxlKSMjg65du5Z1GCIiIiIiIiL3BJWMEBG5Q8qXL8+rr77KU089dU+Xj7hXXL58GWtr67s+j5ub212fQ0TkfuE1YVOhc2kx3csgEhEREREpK9ohLCJyhwQHB+Pm5sbMmTNL3efkyZP06tWLqlWrYm9vT7NmzdixY4dZm5ycHMaPH4+Hhwc2NjbUqVOHt99+27j+1Vdf0bVrV+zt7alatSqDBw/mt99+A67uXP7ss8+YN28eJpMJk8nEqVOnqFOnDrNnzzabJzk5GZPJxIkTJ4qM9ccffyQ0NBQXFxfs7OwICgpi3759pV6Hl5cX06dPZ8iQITg6OvLkk0+SkJCAs7MzW7duxc/PD3t7e7p06UJGRobRLz8/n2nTplGjRg1sbGxo0qQJW7ZsMa5fvnyZyMhI3N3dKV++PJ6enmbPwGQysX79egDS0tIwmUysXbuWDh06UKFCBRo3bszevXvNYt2zZw9t2rTB1tYWDw8PxowZw4ULF0p8liIiIiIiIiL3AyWERUTuEEtLS1555RVef/11fvzxx1L1yc7Oplu3buzcuZMjR47QpUsXevbsSXp6utFmyJAhvPfee8yfP5/jx4/z1ltvYW9vD8D58+fp2LEjAQEBHDx4kC1btvDrr78yYMAAAObNm0fLli0ZMWIEGRkZZGRkULNmTcLDw4mPjzeLJT4+nrZt21KnTp0i42zXrh0//fQTGzZsICUlhXHjxpGfn1/qdQDMnj2bxo0bc+TIEV566SUALl68yOzZs1m+fDm7du0iPT2d6Ohoo8+8efOIjY1l9uzZHD16lJCQEB599FG+++47AObPn8+GDRtYs2YNqamprFixAi8vrxLv+wsvvEB0dDTJycnUrVuX0NBQrly5AlxNbnfp0oXHHnuMo0ePsnr1avbs2UNkZGSJY+bk5JCVlWX2EREREREREbnnFIiIyF82dOjQgl69ehUUFBQUtGjRoiA8PLygoKCgYN26dQW3+p/aBg0aFLz++usFBQUFBampqQVAwfbt24tsO3369IJHHnnE7Nzp06cLgILU1NSCgoKCgnbt2hU888wzZm1++umnAktLy4J9+/YVFBQUFFy+fLmgcuXKBQkJCUYboGDdunUFBQUFBW+99VaBg4NDwblz525rHQUFBQWenp4FvXv3NmsTHx9fABScOHHCOPfGG28UVK1a1TiuVq1awcsvv2zWr1mzZgWjRo0qKCgoKBg9enRBx44dC/Lz84uM4/p1nDp1qgAoWLp0qXH966+/LgAKjh8/XlBQUFAwfPjwgieffNJsjN27dxdYWFgU/N///V+x6508eXIBUOiTmZlZbB8Rkb+b5/iNhT4iIiIi8mDIzMws1fdQ7RAWEbnDXn31VZYtW8bx48fNztvb2xufkSNHAld31kZHR+Pn54ezszP29vYcP37c2FmbnJyMpaUl7dq1K3KulJQUPv30U7Ox69WrB1zd6VqcatWq0b17d9555x0A/ve//5GTk0P//v2LbJ+cnExAQAAuLi5FXr/ZOq4JCgoq1LdChQrUrl3bOHZ3d+fMmTPA1Tek/vzzz7Ru3dqsT+vWrY37GxYWRnJyMr6+vowZM4Zt27YVu+5rGjVqZDYfYMyZkpJCQkKC2T0NCQkhPz+fU6dOFTvmxIkTyczMND6nT5++aRwiIiIiIiIifze9VE5E5A5r27YtISEhTJw4kbCwMON8cnKy8bOjoyMA0dHRbN++ndmzZ1OnTh1sbW3p168fly9fBsDW1rbEubKzs+nZsyevvvpqoWvXEp3FiYiIYPDgwcyZM4f4+HgGDhxIhQoVimx7szhuto5r7OzsCvW1srIyOzaZTBQUFJQ43/UCAwM5deoUmzdvZseOHQwYMIDg4GA++OCDYvtcP6fJZAIwK3/x1FNPMWbMmEL9atasWeyYNjY22NjYlDpuERERERERkbKghLCIyF0QExNDkyZN8PX1Nc4VVZs3KSmJsLAw+vTpA1xNRqalpRnX/f39yc/P57PPPiM4OLhQ/8DAQD788EO8vLwoV67o/6RbW1uTl5dX6Hy3bt2ws7Nj0aJFbNmyhV27dhW7nkaNGrF06VJ+//33IncJ32wdt8vR0ZFq1aqRlJRktks6KSmJ5s2bm7UbOHAgAwcOpF+/fnTp0qXYWG8mMDCQY8eOFfm8RERERERERO53SgiLiNwF/v7+DBo0iPnz55fYzsfHh7Vr19KzZ09MJhMvvfSSsVMVwMvLi6FDhxIeHs78+fNp3LgxP/zwA2fOnGHAgAH8+9//ZsmSJYSGhjJu3DhcXFw4ceIEq1atYunSpVhaWuLl5cW+fftIS0vD3t4eFxcXLCwssLS0JCwsjIkTJ+Lj40PLli2LjTM0NJRXXnmF3r17M3PmTNzd3Tly5AjVqlWjZcuWN13HX/H8888zefJkateuTZMmTYiPjyc5OZkVK1YAEBcXh7u7OwEBAVhYWPD+++/j5uaGs7Pzbc03fvx4WrRoQWRkJBEREdjZ2XHs2DG2b9/OggUL7siaRETKSlpM97IOQURERETKmGoIi4jcJdOmTbtpUjQuLo6KFSvSqlUrevbsSUhICIGBgWZtFi1aRL9+/Rg1ahT16tVjxIgRXLhwAcDYPZuXl8cjjzyCv78/UVFRODs7Y2Fx9T/x0dHRWFpaUr9+fVxdXc3q+g4fPpzLly8zbNiwEuO0trZm27ZtVKlShW7duuHv709MTAyWlpalXsftGjNmDGPHjuW5557D39+fLVu2sGHDBnx8fABwcHBg1qxZBAUF0axZM9LS0vj444+N9d+qRo0a8dlnn/Htt9/Spk0bAgICmDRpEtWqVbsj6xEREREREREpS6aCWynUKCIiD5Tdu3fTqVMnTp8+TdWqVcs6nAdKVlYWTk5OZGZmGjWjRURERERERO6W0n4PVckIEZF/oJycHM6ePcuUKVPo37+/ksEiIiIiIiIi/xAqGSEi8g/03nvv4enpyfnz55k1a1ZZhyMiIiIiIiIifxMlhEVEHjDt27cnKiqqxDZhYWHk5eVx6NAhqlevXubx3MhkMrF+/fo7Mn9iYiImk4nz58/fkfFERERERERE7mdKCIuIyAOtVatWZGRk4OTkVNahiIiIiIiIiJQ51RAWEZEHmrW1NW5ubmUdhoj8/7wmbCrrEP7R0mK6l3UIIiIiIlLGtENYROQBlpOTQ3R0NNWrV8fOzo6HHnqIxMRE4/qUKVNo0qSJWZ+5c+fi5eVldu6dd96hQYMG2NjY4O7uTmRkJADh4eH06NHDrG1ubi5VqlTh7bffLjKmjIwMunfvjq2tLd7e3qxcuRIvLy/mzp1bZPuOHTsa811z9uxZrK2t2blzp7HO8ePH4+HhgY2NDXXq1DHmv7FkREJCAs7OzmzduhU/Pz/s7e3p0qULGRkZZnMsXboUPz8/ypcvT7169Vi4cGGR8YmIiIiIiIjcT7RDWETkARYZGcmxY8dYtWoV1apVY926dXTp0oUvv/wSHx+fUo2xaNEixo4dS0xMDF27diUzM5OkpCQAIiIiaNu2LRkZGbi7uwOwceNGLl68yMCBA4scb8iQIfz2228kJiZiZWXF2LFjOXPmTLHzR0REEBkZSWxsLDY2NgD897//pXr16nTs2NEYc+/evcyfP5/GjRtz6tQpfvvtt2LHvHjxIrNnz2b58uVYWFjwr3/9i+joaFasWAHAihUrmDRpEgsWLCAgIIAjR44wYsQI7OzsGDp0aJFj5uTkkJOTYxxnZWUVO7+IiIiIiIhIWVFCWETkAZWenk58fDzp6elUq1YNgOjoaLZs2UJ8fDyvvPJKqcaZMWMGzz33HM8884xxrlmzZsDV+ry+vr4sX76ccePGARAfH0///v2xt7cvNNY333zDjh07OHDgAEFBQcDVnbglJaf79u1LZGQkH330EQMGDACu7vINCwvDZDLx7bffsmbNGrZv305wcDAAtWrVKnFNubm5vPnmm9SuXRu4mjifNm2acX3y5MnExsbSt29fALy9vTl27BhvvfVWsQnhmTNnMnXq1BLnFRERERERESlrKhkhIvKA+vLLL8nLy6Nu3brY29sbn88++4yTJ0+WaowzZ87w888/06lTp2LbREREEB8fD8Cvv/7K5s2bCQ8PL7Jtamoq5cqVIzAw0DhXp04dKlasWOz45cuXZ/DgwbzzzjsAHD58mK+++oqwsDAAkpOTsbS0pF27dqVaE0CFChWMZDCAu7u7sUv5woULnDx5kuHDh5vdtxkzZpR43yZOnEhmZqbxOX36dKnjEREREREREfm7aIewiMgDKjs7G0tLSw4dOoSlpaXZtWu7dy0sLCgoKDC7lpuba/xsa2t703mGDBnChAkT2Lt3L59//jne3t60adPmDqzg/4mIiKBJkyb8+OOPxMfH07FjRzw9PUsd442srKzMjk0mk3EfsrOzAViyZAkPPfSQWbsb7+P1bGxsjJIWIiIiIiIiIvcqJYRFRB5QAQEB5OXlcebMmWITtK6urvzyyy8UFBRgMpmAqztur3FwcMDLy4udO3fSoUOHIseoVKkSvXv3Jj4+nr179zJs2LBiY/L19eXKlSscOXKEpk2bAnDixAn++OOPEtfi7+9PUFAQS5YsYeXKlSxYsMDsWn5+Pp999plRMuKvqFq1KtWqVeP7779n0KBBf3k8ETGXFtO9rEMQEREREflHU0JYROQBVbduXQYNGsSQIUOIjY0lICCAs2fPsnPnTho1akT37t1p3749Z8+eZdasWfTr148tW7awefNmHB0djXGmTJnCyJEjqVKlCl27duXPP/8kKSmJ0aNHG20iIiLo0aMHeXl5xdbYBahXrx7BwcE8+eSTLFq0CCsrK5577jlsbW2NhHRxrr1czs7Ojj59+hjnvby8GDp0KOHh4cZL5X744QfOnDlj1By+VVOnTmXMmDE4OTnRpUsXcnJyOHjwIH/88Qdjx469rTFFRERERERE7gWqISwi8gCLj49nyJAhPPfcc/j6+tK7d28OHDhAzZo1AfDz82PhwoW88cYbNG7cmP379xMdHW02xtChQ5k7dy4LFy6kQYMG9OjRg++++86sTXBwMO7u7oSEhBgvsCvOu+++S9WqVWnbti19+vRhxIgRODg4UL58+RL7hYaGUq5cOUJDQwu1XbRoEf369WPUqFHUq1ePESNGcOHChdLepkIiIiJYunQp8fHx+Pv7065dOxISEvD29r7tMUVERERERETuBaaCG4tHioiI3KLs7GyqV69OfHw8ffv2vaW+P/74Ix4eHuzYsaPEl9elpaVRu3ZtDhw4YPZSuntVVlYWTk5OZGZmmu24FhEREREREbkbSvs9VCUjRETktuXn5/Pbb78RGxuLs7Mzjz766E37fPLJJ2RnZ+Pv709GRgbjxo3Dy8uLtm3bFtk+NzeXc+fO8eKLL9KiRYv7IhksIiIiIiIicq9SyQgRkTLWvn17oqKi/vI4iYmJmEwmzp8//5fHKq309HSqVq3KypUreeeddyhXzvzvjEXFlJuby3/+8x8aNGhAnz59cHV1JTExESsrK+BqzeImTZoY7ZOSknB3d+fAgQO8+eabtxzjnbq/IiIiIiIiIg8C7RAWESlja9euNZKh9xsvLy9utfJQSEgIISEhpW7fvn37W57jevfz/RURERERERG505QQFhEpYy4uLmUdwgNN91ekaF4TNpV1CFIG0mK6l3UIIiIiIlLGVDJCRKSMXV/SYOHChfj4+FC+fHmqVq1Kv379jHY5OTmMGTOGKlWqUL58eR5++GEOHDhQ4th79uyhTZs22Nra4uHhwZgxY7hw4YJx3WQysX79erM+zs7OJCQkGMc//vgjoaGhuLi4YGdnR1BQEPv27SMtLQ0LCwsOHjxo1n/u3Ll4enqSn59fZExLlizBw8ODChUq0KdPH+Li4nB2di6y7a5du7CysuKXX34xOx8VFUWbNm2M46SkJNq3b0+FChWoWLEiISEh/PHHH0DhkhFeXl688sorhIeH4+DgQM2aNVm8eLHZ+KdPn2bAgAE4Ozvj4uJCr169SEtLKzJGERERERERkfuJEsIiIveIgwcPMmbMGKZNm0Zqaipbtmwxe9HauHHj+PDDD1m2bBmHDx+mTp06hISE8Pvvvxc53smTJ+nSpQuPPfYYR48eZfXq1ezZs4fIyMhSx5SdnU27du346aef2LBhAykpKYwbN478/Hy8vLwIDg4mPj7erE98fDxhYWFYWBT+JyYpKYmRI0fyzDPPkJycTOfOnXn55ZeLnb9t27bUqlWL5cuXG+dyc3NZsWIF4eHhACQnJ9OpUyfq16/P3r172bNnDz179iQvL6/YcWNjYwkKCuLIkSOMGjWKp59+mtTUVGP8kJAQHBwc2L17N0lJSdjb29OlSxcuX75c6nsnIiIiIiIici9SyQgRkXtEeno6dnZ29OjRAwcHBzw9PQkICADgwoULLFq0iISEBLp27Qpc3Wm7fft23n77bZ5//vlC482cOZNBgwYZu2N9fHyYP38+7dq1Y9GiRZQvX/6mMa1cuZKzZ89y4MABo/RCnTp1jOsRERGMHDmSuLg4bGxsOHz4MF9++SUfffRRkeO9/vrrdO3alejoaADq1q3L559/zsaNG4uNYfjw4cTHxxtr/N///selS5cYMGAAALNmzSIoKIiFCxcafRo0aFDiurp168aoUaMAGD9+PHPmzOHTTz/F19eX1atXk5+fz9KlSzGZTMDVJLezszOJiYk88sgjRY6Zk5NDTk6OcZyVlVViDCIiIiIiIiJlQTuERUTuEZ07d8bT05NatWoxePBgVqxYwcWLF4Gru31zc3Np3bq10d7KyormzZtz/PjxIsdLSUkhISEBe3t74xMSEkJ+fj6nTp0qVUzJyckEBAQUW4e3d+/eWFpasm7dOgASEhLo0KEDXl5eRbZPTU2lefPmZuduPL5RWFgYJ06c4IsvvjDmGDBgAHZ2dkaMnTp1KtV6rmnUqJHxs8lkws3NjTNnzgBX79uJEydwcHAw7puLiwuXLl3i5MmTxY45c+ZMnJycjI+Hh8ctxSQiIiIiIiLyd9AOYRGRe4SDgwOHDx8mMTGRbdu2MWnSJKZMmXLTOsHFyc7O5qmnnmLMmDGFrtWsWRO4mgwtKCgwu5abm2v8bGtrW+Ic1tbWDBkyhPj4ePr27cvKlSuZN2/ebcVbnCpVqtCzZ0/i4+Px9vZm8+bNJCYmljrGolhZWZkdm0wmo+ZxdnY2TZs2ZcWKFYX6ubq6FjvmxIkTGTt2rHGclZWlpLCIiIiIiIjcc5QQFhG5h5QrV47g4GCCg4OZPHkyzs7OfPLJJ4SEhGBtbU1SUhKenp7A1cTtgQMHzF6Ydr3AwECOHTtmVuLhRq6urmRkZBjH3333nbErGa7upF26dCm///57sbuEIyIiaNiwIQsXLuTKlSv07du32Pl8fX0LJbhLk/COiIggNDSUGjVqULt2bbOd0o0aNWLnzp1MnTr1puOURmBgIKtXr6ZKlSo4OjqWup+NjQ02NjZ3JAYRERERERGRu0UJYRGRe8TGjRv5/vvvadu2LRUrVuTjjz8mPz8fX19f7OzsePrpp3n++edxcXGhZs2azJo1i4sXLzJ8+PAixxs/fjwtWrQgMjKSiIgI7OzsOHbsGNu3b2fBggUAdOzYkQULFtCyZUvy8vIYP3682e7Z0NBQXnnlFXr37s3MmTNxd3fnyJEjVKtWjZYtWwLg5+dHixYtGD9+POHh4SXu2B09ejRt27YlLi6Onj178sknn7B582ajVm9xQkJCcHR0ZMaMGUybNs3s2sSJE/H392fUqFGMHDkSa2trPv30U/r370/lypVLde+vN2jQIF577TV69erFtGnTqFGjBj/88ANr165l3Lhx1KhR45bHFLkXpcV0L+sQRERERESkDKiGsIjIPcLZ2Zm1a9fSsWNH/Pz8ePPNN3nvvfeMF6TFxMTw2GOPMXjwYAIDAzlx4gRbt26lYsWKRY7XqFEjPvvsM7799lvatGlDQEAAkyZNolq1akab2NhYPDw8aNOmDU888QTR0dFUqFDBuG5tbc22bduoUqUK3bp1w9/fn5iYGCwtLc3mGj58OJcvXyY8PLzENbZu3Zo333yTuLg4GjduzJYtW3j22Wdv+oI7CwsLwsLCyMvLY8iQIWbX6taty7Zt20hJSaF58+a0bNmSjz76iHLlbu9vnhUqVGDXrl3UrFmTvn374ufnx/Dhw7l06dIt7RgWERERERERuReZCm4sHikiInKLpk+fzvvvv8/Ro0dvue+IESP45ptv2L17d4nthg8fztmzZ9mwYcPthvm3ysrKwsnJiczMTCWSRURERERE5K4r7fdQlYwQEZHblp2dTVpaGgsWLGDGjBml6jN79mw6d+6MnZ0dmzdvZtmyZSxcuLDY9pmZmXz55ZesXLnyvkkGi4iIiIiIiNyrlBAWEZHbFhkZyXvvvUfv3r1vWi7imv379zNr1iz+/PNPatWqxfz584mIiCi2fa9evdi/fz8jR46kc+fOdyp0ERERERERkX8klYwQEbkPtG/fniZNmjB37twir5tMJtatW0fv3r1va/wpU6awfv16kpOTi20TFhbG+fPnWb9+/R0b80Z/dR1Fudm9u1tUMkJERERERET+TioZISLyD5KRkVHsy+VuVFTSNTo6mtGjR9+l6MrW2rVrsbKyKuswRERERERERO4JSgiLiDwA3Nzc/lJ/e3t77O3t71A09xYXF5eyDkFE5J7hNWFTWYfwt0iL6V7WIYiIiIjcsyzKOgARESmd/Px8xo0bh4uLC25ubkyZMsW4ZjKZjFIOly9fJjIyEnd3d8qXL4+npyczZ84EwMvLC4A+ffpgMpmM4ylTptCkSRNjvLy8PMaOHYuzszOVKlVi3LhxXF9h6N1336VSpUrk5OSYxdi7d28GDx5cZPwHDhygc+fOVK5cGScnJ9q1a8fhw4dLXPP48eOpW7cuFSpUoFatWrz00kvk5uYa16/FvXz5cry8vHBycuLxxx/nzz//NNq0b9+eqKgo49jLy4tXXnmF8PBwHBwcqFmzJosXLzab9/Tp0wwYMABnZ2dcXFzo1asXaWlpJcYqIiIiIiIicj9QQlhE5D6xbNky7Ozs2LdvH7NmzWLatGls3769ULv58+ezYcMG1qxZQ2pqKitWrDASvwcOHAAgPj6ejIwM4/hGsbGxJCQk8M4777Bnzx5+//131q1bZ1zv378/eXl5bNiwwTh35swZNm3aVOzL5f7880+GDh3Knj17+OKLL/Dx8aFbt25mydsbOTg4kJCQwLFjx5g3bx5Llixhzpw5Zm1OnjzJ+vXr2bhxIxs3buSzzz4jJiam2DGvrS8oKIgjR44watQonn76aVJTUwHIzc0lJCQEBwcHdu/eTVJSEvb29nTp0oXLly+XOK6IiIiIiIjIvU4lI0RE7hONGjVi8uTJAPj4+LBgwQJ27txJ586dzdqlp6fj4+PDww8/jMlkwtPT07jm6uoKgLOzc4llJubOncvEiRPp27cvAG+++SZbt241rtva2vLEE08QHx9P//79Afjvf/9LzZo1ad++fZFjduzY0ex48eLFODs789lnn9GjR48i+7z44ovGz15eXkRHR7Nq1SrGjRtnnM/PzychIQEHBwcABg8ezM6dO3n55ZeLXV+3bt0YNWoUcHUX8pw5c/j000/x9fVl9erV5Ofns3TpUkwmE3A1ge7s7ExiYiKPPPJIkWPm5OSY7ZjOysoqdn4RERERERGRsqIdwiIi94lGjRqZHbu7u3PmzJlC7cLCwkhOTsbX15cxY8awbdu2W5onMzOTjIwMHnroIeNcuXLlCAoKMms3YsQItm3bxk8//QRAQkICYWFhRhL1Rr/++isjRozAx8cHJycnHB0dyc7OJj09vdhYVq9eTevWrXFzc8Pe3p4XX3yxUHsvLy8jGQzF35frXX8vTSYTbm5uRp+UlBROnDiBg4ODUVvZxcWFS5cucfLkyWLHnDlzJk5OTsbHw8OjxBhEREREREREyoJ2CIuI3CesrKzMjk0mE/n5+YXaBQYGcurUKTZv3syOHTsYMGAAwcHBfPDBB3c0noCAABo3bsy7777LI488wtdff82mTcW/rGjo0KGcO3eOefPm4enpiY2NDS1btiy2DMPevXsZNGgQU6dOJSQkBCcnJ1atWkVsbKxZu9Lel9L2yc7OpmnTpqxYsaJQv2s7rIsyceJExo4daxxnZWUpKSwiIiIiIiL3HCWERUQeQI6OjgwcOJCBAwfSr18/unTpwu+//46LiwtWVlbk5eUV29fJyQl3d3f27dtH27ZtAbhy5QqHDh0iMDDQrG1ERARz587lp59+Ijg4uMQEaFJSEgsXLqRbt27A1Re3/fbbb8W2//zzz/H09OSFF14wzv3www+lWv9fERgYyOrVq6lSpQqOjo6l7mdjY4ONjc1djExERERERETkr1NCWETkARMXF4e7uzsBAQFYWFjw/vvv4+bmhrOzM3C1xMLOnTtp3bo1NjY2VKxYsdAYzzzzDDExMfj4+FCvXj3i4uI4f/58oXZPPPEE0dHRLFmyhHfffbfEuHx8fFi+fDlBQUFkZWXx/PPPY2trW2L79PR0Vq1aRbNmzdi0aZPZi+3ulkGDBvHaa6/Rq1cvpk2bRo0aNfjhhx9Yu3Yt48aNo0aNGnc9BhGRuyUtpntZhyAiIiIiZUw1hEVEHjAODg7MmjWLoKAgmjVrRlpaGh9//DEWFlf/kx8bG8v27dvx8PAgICCgyDGee+45Bg8ezNChQ2nZsiUODg706dOnUDsnJycee+wx7O3t6d27d4lxvf322/zxxx8EBgYyePBgxowZQ5UqVYpt/+ijj/Lss88SGRlJkyZN+Pzzz3nppZdKfyNuU4UKFdi1axc1a9akb9+++Pn5MXz4cC5dunRLO4ZFRERERERE7kWmgoKCgrIOQkRE7l+dOnWiQYMGzJ8/v6xDuadkZWXh5OREZmamEskiIiIiIiJy15X2e6hKRoiIyG35448/SExMJDExkYULF5Z1OCIiIiIiIiJSCkoIi4jIbQkICOCPP/7g1VdfxdfXt6zDEREREREREZFSUA1hEZF7gJeXF3Pnzi3rMG5JWloamZmZREdHk5CQYLy07l4TFhZ20/rGIiIiIiIiIv8USgiLiNyHEhMTMZlMnD9/vqxDKdKUKVNo0qRJWYcBwLx580hISCjrMERERERERETuCSoZISIi96zLly9jbW39l8ZwcnK6Q9GIiNz/vCZsKusQRO5baTHdyzoEERGRO0I7hEWkTP35558MGjQIOzs73N3dmTNnDu3btycqKgqA5cuXExQUhIODA25ubjzxxBOcOXPG6H9tp+zWrVsJCAjA1taWjh07cubMGTZv3oyfnx+Ojo488cQTXLx40ejXvn17Ro8eTVRUFBUrVqRq1aosWbKECxcuMGzYMBwcHKhTpw6bN282+uTl5TF8+HC8vb2xtbXF19eXefPm/eU13igtLQ2TyURycrJx7vz585hMJhITE0lLS6NDhw4AVKxYEZPJRFhYGABbtmzh4YcfxtnZmUqVKtGjRw9OnjxZaOw1a9bQpk0bbG1tadasGd9++y0HDhwgKCgIe3t7unbtytmzZwHYtWsXVlZW/PLLL2ZxRkVF0aZNm0LxJyQkMHXqVFJSUjCZTJhMJhISEggPD6dHjx5mbXNzc6lSpQpvv/228VwiIyOJioqicuXKhISEAPDZZ5/RvHlzbGxscHd3Z8KECVy5csUY54MPPsDf3x9bW1sqVapEcHAwFy5cAAqXjGjfvj1jxoxh3LhxuLi44ObmxpQpU8ziOn/+PBEREbi6uuLo6EjHjh1JSUkp8nmJiIiIiIiI3E+UEBaRMjV27FiSkpLYsGED27dvZ/fu3Rw+fNi4npuby/Tp00lJSWH9+vWkpaUZyc/rTZkyhQULFvD5559z+vRpBgwYwNy5c1m5ciWbNm1i27ZtvP7662Z9li1bRuXKldm/fz+jR4/m6aefpn///rRq1YrDhw/zyCOPMHjwYCORnJ+fT40aNXj//fc5duwYkyZN4j//+Q9r1qz5S2u8VR4eHnz44YcApKamkpGRYSSmL1y4wNixYzl48CA7d+7EwsKCPn36kJ+fbzbG5MmTefHFFzl8+DDlypXjiSeeYNy4ccybN4/du3dz4sQJJk2aBEDbtm2pVasWy5cvN/rn5uayYsUKwsPDC8U3cOBAnnvuORo0aEBGRgYZGRkMHDiQiIgItmzZQkZGhtF248aNXLx4kYEDBxrnli1bhrW1NUlJSbz55pv89NNPdOvWjWbNmpGSksKiRYt4++23mTFjBgAZGRmEhoYSHh7O8ePHSUxMpG/fvhQUFBR7D5ctW4adnR379u1j1qxZTJs2je3btxvX+/fvb/xR4dChQwQGBtKpUyd+//33Uj8nERERERERkXuRSkaISJn5888/WbZsGStXrqRTp04AxMfHU61aNaPN9QnHWrVqMX/+fJo1a0Z2djb29vbGtRkzZtC6dWsAhg8fzsSJEzl58iS1atUCoF+/fnz66aeMHz/e6NO4cWNefPFFACZOnEhMTAyVK1dmxIgRAEyaNIlFixZx9OhRWrRogZWVFVOnTjX6e3t7s3fvXtasWcOAAQNue423ytLSEhcXFwCqVKli9jK3xx57zKztO++8g6urK8eOHaNhw4bG+ejoaGP37TPPPENoaCg7d+40u4fX190dPnw48fHxPP/88wD873//49KlS0Wu29bWFnt7e8qVK4ebm5txvlWrVvj6+rJ8+XLGjRtn3Iv+/fubPUsfHx9mzZplHL/wwgt4eHiwYMECTCYT9erV4+eff2b8+PFMmjSJjIwMrly5Qt++ffH09ATA39+/xHvYqFEjJk+ebMy3YMECdu7cSefOndmzZw/79+/nzJkz2NjYADB79mzWr1/PBx98wJNPPlnkmDk5OeTk5BjHWVlZJcYgIiIiIiIiUha0Q1hEysz3339Pbm4uzZs3N845OTnh6+trHB86dIiePXtSs2ZNHBwcaNeuHQDp6elmYzVq1Mj4uWrVqlSoUMFIBl87d32piRv7WFpaUqlSJbNEYtWqVQHM+r3xxhs0bdoUV1dX7O3tWbx4sRHL7t27sbe3Nz4rVqwo1RrvpO+++47Q0FBq1aqFo6MjXl5ewM3vF1Bo7devOywsjBMnTvDFF18AV8tCDBgwADs7u1uKLyIigvj4eAB+/fVXNm/eXGiXcdOmTc2Ojx8/TsuWLTGZTMa51q1bk52dzY8//kjjxo3p1KkT/v7+9O/fnyVLlvDHH3+UGMf16wdwd3c31puSkkJ2djaVKlUye56nTp0yK79xo5kzZ+Lk5GR8PDw8bn5DRERERERERP5m2iEsIvesCxcuEBISQkhICCtWrMDV1ZX09HRCQkK4fPmyWVsrKyvjZ5PJZHZ87dyNZROKanPjOIDRb9WqVURHRxMbG0vLli1xcHDgtddeY9++fQAEBQWZ1f2tWrUq33///S2v28Li6t/qri95kJubW6q+PXv2xNPTkyVLllCtWjXy8/Np2LDhTe9XUeeuv19VqlShZ8+exMfH4+3tzebNm0lMTLzltQ0ZMoQJEyawd+9ePv/8c7y9vQvVIb7VJLOlpSXbt2/n888/N0qDvPDCC+zbtw9vb+8i+5T0+5GdnY27u3uR67t+N/aNJk6cyNixY43jrKwsJYVFRERERETknqOEsIiUmVq1amFlZcWBAweoWbMmAJmZmXz77be0bduWb775hnPnzhETE2Mk1g4ePFhm8SYlJdGqVStGjRplnLt+x6itrS116tQx63OzNRbF1dUVuFobNyAgAMAs0QxgbW0NXH3R3TXnzp0jNTWVJUuWGEnWPXv23M5SixQREUFoaCg1atSgdu3aRnmJolhbW5vFdk2lSpXo3bs38fHx7N27l2HDht10Xj8/Pz788EMKCgqM5HVSUhIODg7UqFEDuJrQbd26Na1bt2bSpEl4enqybt06swRtaQUGBvLLL79Qrlw5Y4d1adjY2BglJkRERERERETuVUoIi0iZcXBwYOjQoTz//PO4uLhQpUoVJk+ejIWFBSaTiZo1a2Jtbc3rr7/OyJEj+eqrr5g+fXqZxevj48O7777L1q1b8fb2Zvny5Rw4cKDYXahw8zUWxdbWlhYtWhATE4O3tzdnzpwxah1f4+npiclkYuPGjXTr1g1bW1sqVqxIpUqVWLx4Me7u7qSnpzNhwoQ7tv6QkBAcHR2ZMWMG06ZNK7Gtl5cXp06dIjk5mRo1auDg4GAkSyMiIujRowd5eXkMHTr0pvOOGjWKuXPnMnr0aCIjI0lNTWXy5MmMHTsWCwsL9u3bx86dO3nkkUeoUqUK+/bt4+zZs/j5+d3WOoODg2nZsiW9e/dm1qxZ1K1bl59//plNmzbRp08fgoKCbmtcEZF7QVpM97IOQURERETKmGoIi0iZiouLo2XLlvTo0YPg4GBat26Nn58f5cuXx9XVlYSEBN5//33q169PTEwMs2fPLrNYn3rqKfr27cvAgQN56KGHOHfunNlu4eKUtMbivPPOO1y5coWmTZsSFRXFjBkzzK5Xr16dqVOnMmHCBKpWrUpkZCQWFhasWrWKQ4cO0bBhQ5599llee+21v7zuaywsLAgLCyMvL48hQ4aU2Paxxx6jS5cudOjQAVdXV9577z3jWnBwMO7u7oSEhJTq5XrVq1fn448/Zv/+/TRu3JiRI0cyfPhwI0nu6OjIrl276NatG3Xr1uXFF18kNjaWrl273tY6TSYTH3/8MW3btmXYsGHUrVuXxx9/nB9++MGotywiIiIiIiJyvzIVXF+kUkSkjF24cIHq1asTGxvL8OHDyzqcu+J+XuPw4cM5e/YsGzZsuO0xsrOzqV69OvHx8fTt2/cORndvycrKwsnJiczMTBwdHcs6HBEREREREXnAlfZ7qEpGiEiZOnLkCN988w3NmzcnMzPTKEXQq1evMo7sznkQ1piZmcmXX37JypUrbzsZnJ+fz2+//UZsbCzOzs48+uijdzhKEREREREREbkZJYRFpMzNnj2b1NRUrK2tadq0Kbt376Zy5cplHdYddb+vsVevXuzfv5+RI0fSuXPn2xojPT0db29vatSoQUJCAuXK6Z8gERERERERkb+bvo2LSJkKCAjg0KFDZR3GXePl5UVUVNR9u8aEhASioqI4f/58ie1MJhPr1q2jd+/exbbx8vKirKoUlSY+ERERERERkX8CvVROROQekpiYiMlkumkCtqxMmTKFJk2alHUYtywjI+O2XzInIiIiIiIi8iDRDmEREfnbFRQUkJeX97eVjXBzc/tb5hERudd5TdhU1iGIyC1Ii+le1iGIiMgDSDuEReSu+PPPPxk0aBB2dna4u7szZ84c2rdvT1RUFADLly8nKCgIBwcH3NzceOKJJzhz5ozR/9pO2a1btxIQEICtrS0dO3bkzJkzbN68GT8/PxwdHXniiSe4ePGi0a99+/aMHj2aqKgoKlasSNWqVVmyZAkXLlxg2LBhODg4UKdOHTZv3mz0ycvLY/jw4Xh7e2Nra4uvry/z5s37y2u8UVpaGiaTieTkZOPc+fPnMZlMJCYmkpaWRocOHQCoWLEiJpOJsLAwALZs2cLDDz+Ms7MzlSpVokePHpw8ebLQ2GvWrKFNmzbY2trSrFkzvv32Ww4cOEBQUBD29vZ07dqVs2fPArBr1y6srKz45ZdfzOKMioqiTZs2heJPSEhg6tSppKSkYDKZMJlMJCQkGNd/++03+vTpQ4UKFfDx8TF7+dy157l582aaNm2KjY0Ne/bsIT8/n5kzZxr3vnHjxnzwwQdm83722Wc0b94cGxsb3N3dmTBhAleuXDGut2/fnjFjxjBu3DhcXFxwc3NjypQpZmOYTCbWr19vdq/Wrl1Lhw4dqFChAo0bN2bv3r1mffbs2WPcSw8PD8aMGcOFCxeKeLIiIiIiIiIi9w8lhEXkrhg7dixJSUls2LCB7du3s3v3bg4fPmxcz83NZfr06aSkpLB+/XrS0tKM5Of1pkyZwoIFC/j88885ffo0AwYMYO7cuaxcuZJNmzaxbds2Xn/9dbM+y5Yto3Llyuzfv5/Ro0fz9NNP079/f1q1asXhw4d55JFHGDx4sJFIzs/Pp0aNGrz//vscO3aMSZMm8Z///Ic1a9b8pTXeKg8PDz788EMAUlNTycjIMBLTFy5cYOzYsRw8eJCdO3diYWFBnz59yM/PNxtj8uTJvPjiixw+fJhy5crxxBNPMG7cOObNm8fu3bs5ceIEkyZNAqBt27bUqlWL5cuXG/1zc3NZsWIF4eHhheIbOHAgzz33HA0aNCAjI4OMjAwGDhxoXJ86dSoDBgzg6NGjdOvWjUGDBvH777+bjTFhwgRiYmI4fvw4jRo1YubMmbz77ru8+eabfP311zz77LP861//4rPPPgPgp59+olu3bjRr1oyUlBQWLVrE22+/zYwZM8zGXbZsGXZ2duzbt49Zs2Yxbdo0tm/fXuL9fuGFF4iOjiY5OZm6desSGhpqJJpPnjxJly5deOyxxzh69CirV69mz549REZGFjteTk4OWVlZZh8RERERERGRe41KRojIHffnn3+ybNkyVq5cSadOnQCIj4+nWrVqRpvrE461atVi/vz5NGvWjOzsbOzt7Y1rM2bMoHXr1gAMHz6ciRMncvLkSWrVqgVAv379+PTTTxk/frzRp3Hjxrz44osATJw4kZiYGCpXrsyIESMAmDRpEosWLeLo0aO0aNECKysrpk6davT39vZm7969rFmzhgEDBtz2Gm+VpaUlLi4uAFSpUgVnZ2fj2mOPPWbW9p133sHV1ZVjx47RsGFD43x0dDQhISEAPPPMM4SGhrJz506ze3j9rt7hw4cTHx/P888/D8D//vc/Ll26VOS6bW1tsbe3p1y5ckWWYAgLCyM0NBSAV155hfnz57N//366dOlitJk2bRqdO3cGriZQX3nlFXbs2EHLli2Bq78Le/bs4a233qJdu3YsXLgQDw8PFixYgMlkol69evz888+MHz+eSZMmYWFx9e+ajRo1YvLkyQD4+PiwYMECdu7cacxVlOjoaLp3v/q/YU6dOpUGDRpw4sQJ6tWrx8yZMxk0aJCx29vHx4f58+fTrl07Fi1aRPny5QuNN3PmTLPfIxEREREREZF7kXYIi8gd9/3335Obm0vz5s2Nc05OTvj6+hrHhw4domfPntSsWRMHBwfatWsHQHp6utlYjRo1Mn6uWrUqFSpUMJLB185dX2rixj6WlpZUqlQJf39/sz6AWb833niDpk2b4urqir29PYsXLzZi2b17N/b29sZnxYoVpVrjnfTdd98RGhpKrVq1cHR0xMvLC7j5/QIKrf36dYeFhXHixAm++OIL4GpZiAEDBmBnZ3fLMV4/t52dHY6OjoWeTVBQkPHziRMnuHjxIp07dza7v++++65RDuP48eO0bNkSk8lk9GvdujXZ2dn8+OOPRc4N4O7uXmjukuJ1d3cH/t/vREpKCgkJCWZxhYSEkJ+fz6lTp4ocb+LEiWRmZhqf06dPlzi/iIiIiIiISFnQDmER+dtduHCBkJAQQkJCWLFiBa6urqSnpxMSEsLly5fN2lpZWRk/m0wms+Nr524sm1BUmxvHAYx+q1atIjo6mtjYWFq2bImDgwOvvfYa+/btA64mMa+v+1u1alW+//77W173td2sBQUFxrnc3NxS9e3Zsyeenp4sWbKEatWqkZ+fT8OGDW96v4o6d/39qlKlCj179iQ+Ph5vb282b95MYmLiLa/txnmKmgswSzRnZ2cDsGnTJqpXr27WzsbG5o7PXVKfG38nsrOzeeqppxgzZkyhfjVr1ixyPBsbm1uOW0REREREROTvpoSwiNxxtWrVwsrKigMHDhjJs8zMTL799lvatm3LN998w7lz54iJicHDwwOAgwcPllm8SUlJtGrVilGjRhnnrn9hm62tLXXq1DHrc7M1FsXV1RWAjIwMAgICAMwSzQDW1tbA1RfdXXPu3DlSU1NZsmSJ8bK3PXv23M5SixQREUFoaCg1atSgdu3aRnmJolhbW5vF9lfUr18fGxsb0tPTjR3iN/Lz8+PDDz+koKDASNomJSXh4OBAjRo17kgcRQkMDOTYsWOFnruIiIiIiIjI/U4JYRG54xwcHBg6dCjPP/88Li4uVKlShcmTJ2NhYYHJZKJmzZpYW1vz+uuvM3LkSL766iumT59eZvH6+Pjw7rvvsnXrVry9vVm+fDkHDhzA29u72D43W2NRbG1tadGiBTExMXh7e3PmzBmj1vE1np6emEwmNm7cSLdu3bC1taVixYpUqlSJxYsX4+7uTnp6OhMmTLhj6w8JCcHR0ZEZM2Ywbdq0Ett6eXlx6tQpkpOTqVGjBg4ODre9K9bBwYHo6GieffZZ8vPzefjhh8nMzCQpKQlHR0eGDh3KqFGjmDt3LqNHjyYyMpLU1FQmT57M2LFjjR3Xd8P48eNp0aIFkZGRREREYGdnx7Fjx9i+fTsLFiy4a/OKiNxtaTHdyzoEERERESljqiEsIndFXFwcLVu2pEePHgQHB9O6dWv8/PwoX748rq6uJCQk8P7771O/fn1iYmKYPXt2mcX61FNP0bdvXwYOHMhDDz3EuXPnzHYLF6ekNRbnnXfe4cqVKzRt2pSoqChmzJhhdr169epMnTqVCRMmULVqVSIjI7GwsGDVqlUcOnSIhg0b8uyzz/Laa6/95XVfY2FhQVhYGHl5eQwZMqTEto899hhdunShQ4cOuLq68t577/2luadPn85LL73EzJkz8fPzo0uXLmzatMlIxlevXp2PP/6Y/fv307hxY0aOHMnw4cMLJdLvtEaNGvHZZ5/x7bff0qZNGwICApg0adJfemmgiIiIiIiIyL3AVHB9MUsRkbvkwoULVK9endjYWIYPH17W4dwV9/Mahw8fztmzZ9mwYUNZh/LAyMrKwsnJiczMTBwdHcs6HBEREREREXnAlfZ7qEpGiMhdceTIEb755huaN29OZmamUYqgV69eZRzZnfMgrDEzM5Mvv/ySlStXKhksIiIiIiIi8g+ghLCI3DWzZ88mNTUVa2trmjZtyu7du6lcuXJZh3VH3e9r7NWrF/v372fkyJF07ty5rMMRERERERERkbtMJSNE5IHm5eVFVFQUUVFRZR3KbUlISCAqKorz58+Xuk9YWBjnz59n/fr1dy2u0rid2O/G8yqr+6GSESIiIiIiIvJ3UskIEZHbkJiYSIcOHfjjjz9wdnYu63DkDpg3bx7626eIiIiIiIjIVUoIi4jIA83JyamsQxARuWd4TdhU1iGIAJAW072sQxAREfnHsijrAETk7vjzzz8ZNGgQdnZ2uLu7M2fOHNq3b2/8r/jLly8nKCgIBwcH3NzceOKJJzhz5ozRPzExEZPJxNatWwkICMDW1paOHTty5swZNm/ejJ+fH46OjjzxxBNcvHjR6Ne+fXtGjx5NVFQUFStWpGrVqixZsoQLFy4wbNgwHBwcqFOnDps3b/7/2Lv3qKrq9PHj7wOCHjiH+0VUrl4IwwuCFzDvl2MKX9SUQkdF0UkdTTJUaAxFsShBRS1LGsH4QoRjOaZ5i68kkiaC11FRMcLvd2hwSFFwaQj9/nCxfxwFxStaz2utsxZn78/ns59nn7Nq8fDx2cqc6upqQkNDcXV1Ra1W4+7uTkJCwiPneKeioiJUKhVHjx5Vjl25cgWVSkVWVhZFRUUMGDAAAEtLS1QqFSEhIQDs3LmTl156CQsLC6ytrfH396ewsPCutTMyMujTpw9qtZru3btz9uxZcnNz8fHxQaPR8PLLL3Pp0iUA9u3bh5GRET///LNenGFhYfTp06feHBYvXkzXrl355JNPcHR0xMTEhKCgIMrLy+8aGxcXh4ODA9bW1vzlL3+hqqpKOXfz5k3Cw8Np3bo1pqam9OzZk6ysLOV8cnIyFhYW7Nq1Cw8PDzQaDcOGDaOkpOShYy8sLCQwMBB7e3s0Gg3du3fn22+/rXdsrRUrVtCpUydMTU1xdHRk5syZVFRUNDpOuN0yYuTIkcr7/v3788YbbzB//nysrKxo2bIlixcv1rvulStXmDp1Kra2tpiZmTFw4ECOHTt2z1iFEEIIIYQQQojngRSEhfidmjt3Ljk5OWzdupU9e/aQnZ1Nfn6+cr6qqoqlS5dy7NgxtmzZQlFRkVL8rGvx4sWsXbuW77//nosXLxIUFMSqVatIS0tj+/bt7N69mzVr1ujN2bhxIzY2Nhw6dIjZs2czY8YMxo4di5+fH/n5+QwdOpQJEyYoheSamhratGnDpk2bOHXqFFFRUbz99ttkZGQ8Uo4PytHRkc2bNwNQUFBASUmJUpiurKxk7ty5HD58mMzMTAwMDBg1ahQ1NTV6ayxatIiFCxeSn59Ps2bNGDduHPPnzychIYHs7GzOnz9PVFQUAH379sXNzY2UlBRlflVVFampqUyZMqXBOM+fP09GRgZff/01O3fu5MiRI8ycOVNvzN69eyksLGTv3r1s3LiR5ORkkpOTlfOzZs3iwIEDpKenc/z4ccaOHcuwYcM4d+6cMub69evExcWRkpLCvn37KC4uJjw8/KFjr6ioYPjw4WRmZnLkyBGGDRtGQEAAxcXFDeZqYGDA6tWr+ec//8nGjRv5n//5H+bPn6835l5xNmTjxo2Ympryww8/8MEHH7BkyRL27NmjnB87dqzyx4+8vDy6devGoEGD+OWXXxpc8+bNm1y9elXvJYQQQgghhBBCPGukZYQQv0PXrl1j48aNpKWlMWjQIACSkpJo1aqVMqZu0c7NzY3Vq1fTvXt3Kioq0Gg0yrmYmBh69+4NQGhoKJGRkRQWFuLm5gbAmDFj2Lt3LwsWLFDmdOnShYULFwIQGRlJbGwsNjY2TJs2DYCoqCjWrVvH8ePH6dWrF0ZGRkRHRyvzXV1dOXDgABkZGQQFBT10jg/K0NAQKysrAOzs7PR6CL/yyit6Yzds2ICtrS2nTp3C09NTOR4eHo5OpwNgzpw5BAcHk5mZqXcP6xZmQ0NDSUpKYt68eQB8/fXX3Lhxo8G8AW7cuMFnn31G69atAVizZg0jRowgPj6eli1bArd3OK9duxZDQ0NeeOEFRowYQWZmJtOmTaO4uJikpCSKi4uV+xUeHs7OnTtJSkri3XffBW4XeD/++GPatm0L3C4iL1my5KFj79KlC126dFHeL126lK+++oqtW7cya9aseufU3e3t4uJCTEwM06dP56OPPlKO3y/O+nTu3JlFixYB0L59e9auXUtmZiZDhgxh//79HDp0iNLSUpo3bw7c3m29ZcsW/v73v/PnP/+53jXfe+89ve+xEEIIIYQQQgjxLJIdwkL8Dl24cIGqqip69OihHDM3N8fd3V15n5eXR0BAAE5OTmi1Wvr16wdw127Nzp07Kz/b29tjYmKiFINrj9VtNXHnHENDQ6ytrenUqZPeHEBv3ocffoi3tze2trZoNBrWr1+vxJKdnY1Go1FeqampjcrxcTp37hzBwcG4ublhZmaGi4sLcP/7BdyVe928Q0JCOH/+PAcPHgRut0AICgrC1NS0wVicnJyUYjCAr68vNTU1FBQUKMdefPFFDA0NlfcODg7KdU+cOEF1dTUdOnTQu6/fffedXhsMExMTpch65xoPE3tFRQXh4eF4eHhgYWGBRqPh9OnT99wh/O233zJo0CBat26NVqtlwoQJlJWV6bUpuV+c9an7Od0559ixY1RUVGBtba13f3788Ue9+3OnyMhIysvLldfFixfvGYMQQgghhBBCCNEUZIewEH9AlZWV6HQ6dDodqamp2NraUlxcjE6n49dff9Uba2RkpPysUqn03tceu7NtQn1j7lwHUOalp6cTHh5OfHw8vr6+aLVali9fzg8//ACAj4+PXt9fe3t7Lly48MB5Gxjc/hvYb7/9phyr21f3XgICAnB2diYxMZFWrVpRU1ODp6fnfe9Xfcfq3i87OzsCAgJISkrC1dWVHTt26PXyfVj3+pwqKiowNDQkLy9Pr2gM6O0Or2+NuvfuQWMPDw9nz549xMXF0a5dO9RqNWPGjLnrHtYqKirC39+fGTNmsGzZMqysrNi/fz+hoaH8+uuvmJiYNCrO+tzv/jg4ONSbS91d43dq3ry5sqNYCCGEEEIIIYR4VklBWIjfITc3N4yMjMjNzcXJyQmA8vJyzp49S9++fTlz5gxlZWXExsbi6OgIwOHDh5ss3pycHPz8/PT64NbdialWq2nXrp3enPvlWB9bW1sASkpK8PLyAtArNAMYGxsDtx90V6usrIyCggISExOVB6bt37//YVKt19SpUwkODqZNmza0bdtWaS/RkOLiYv71r38p7R4OHjyIgYFBo3dHe3l5UV1dTWlpaYMPgHsSsefk5BASEsKoUaOA24XXoqKiBsfn5eVRU1NDfHy8Usy/X1/px6Fbt278/PPPNGvWTNkJLoQQQgghhBBC/F5IQViI3yGtVsukSZOYN28eVlZW2NnZsWjRIgwMDFCpVDg5OWFsbMyaNWuYPn06J0+eZOnSpU0Wb/v27fnss8/YtWsXrq6upKSkkJubi6ura4Nz7pdjfdRqNb169SI2NhZXV1dKS0uVXse1nJ2dUalUbNu2jeHDh6NWq7G0tMTa2pr169fj4OBAcXExERERjy1/nU6HmZkZMTEx9+19C9CiRQsmTZpEXFwcV69e5Y033iAoKEjpH3w/HTp0YPz48UycOJH4+Hi8vLy4dOkSmZmZdO7cmREjRjyR2Nu3b8+XX35JQEAAKpWKd955567d5XW1a9eOqqoq1qxZQ0BAADk5OXz88ceNju1hDR48GF9fX0aOHMkHH3xAhw4d+Ne//sX27dsZNWoUPj4+TzwGIYR4UopiG//feCGEEEII8fskPYSF+J1asWIFvr6++Pv7M3jwYHr37o2HhwctWrTA1taW5ORkNm3aRMeOHYmNjSUuLq7JYn399dcZPXo0r776Kj179qSsrExvt3BD7pVjQzZs2MCtW7fw9vYmLCyMmJgYvfOtW7cmOjqaiIgI7O3tmTVrFgYGBqSnp5OXl4enpydvvvkmy5cvf+S8axkYGBASEkJ1dTUTJ0687/h27doxevRohg8fztChQ+ncubPeQ9YaIykpiYkTJ/LWW2/h7u7OyJEj9XZbP4nYV6xYgaWlJX5+fgQEBKDT6ejWrVuD47t06cKKFSt4//338fT0JDU1lffee++B4nsYKpWKb775hr59+zJ58mQ6dOjAa6+9xk8//aT0hRZCCCGEEEIIIZ5Xqt/u12hRCPG7UFlZSevWrYmPjyc0NLSpw3kinuccQ0NDuXTpElu3br3nuMWLF7Nly5a7Wl00pcbG/kdz9epVzM3NKS8vx8zMrKnDEUIIIYQQQgjxO9fY30OlZYQQv1NHjhzhzJkz9OjRg/LycuWf8wcGBjZxZI/P7yHH8vJyTpw4QVpa2nNXUH2eYxdCCCGEEEIIIf6opCAsxO9YXFwcBQUFGBsb4+3tTXZ2NjY2Nk0d1mP1vOcYGBjIoUOHmD59OkOGDGnqcB7I8xy7EEIIIYQQQgjxRyUtI4QQ4gG4uLgQFhZGWFhYU4fyUJKTkwkLC+PKlStNcn2VSsVXX33FyJEj6z2flZXFgAEDuHz5MhYWFo/lmkVFRbi6unLkyBG6du36WNZsDGkZIYQQQgghhBDiaWrs76HyUDkhhHiCsrKyUKlUTVaAbSqLFy9+qOKrn58fJSUlmJubP7ZYHB0dKSkpwdPT87GtKYQQQgghhBBCPK+kZYQQQohnhrGxMS1btnysaxoaGj72NYUQ4nnlErG9qUMQQlEUO6KpQxBCCCH+kGSHsBCiUa5du8b48eMxNTXFwcGBlStX0r9/f6V1QkpKCj4+Pmi1Wlq2bMm4ceMoLS1V5tfulN21axdeXl6o1WoGDhxIaWkpO3bswMPDAzMzM8aNG8f169eVef3792f27NmEhYVhaWmJvb09iYmJVFZWMnnyZLRaLe3atWPHjh3KnOrqakJDQ3F1dUWtVuPu7k5CQsIj53inoqIiVCoVR48eVY5duXIFlUpFVlYWRUVFDBgwAABLS0tUKhUhISEA7Ny5k5deegkLCwusra3x9/ensLDwrrUzMjLo06cParWa7t27c/bsWXJzc/Hx8UGj0fDyyy9z6dIlAPbt24eRkRE///yzXpxhYWH06dOn3hxqd/Ju2LABJycnNBoNM2fOpLq6mg8++ICWLVtiZ2fHsmXL9OZduXKFqVOnYmtri5mZGQMHDuTYsWPA7bYU0dHRHDt2DJVKhUqlIjk5WZn7n//8h1GjRmFiYkL79u31HkhX347qzZs38+KLL9K8eXNcXFyIj4/Xi8XFxYV3332XKVOmoNVqcXJyYv369Q1+TrXXyMzMxMfHBxMTE/z8/CgoKNBb9x//+AfdunWjRYsWuLm5ER0dza1bt+q9j0IIIYQQQgghxPNCCsJCiEaZO3cuOTk5bN26lT179pCdnU1+fr5yvqqqiqVLl3Ls2DG2bNlCUVGRUvysa/Hixaxdu5bvv/+eixcvEhQUxKpVq0hLS2P79u3s3r2bNWvW6M3ZuHEjNjY2HDp0iNmzZzNjxgzGjh2Ln58f+fn5DB06lAkTJiiF5JqaGtq0acOmTZs4deoUUVFRvP3222RkZDxSjg/K0dGRzZs3A1BQUEBJSYlSmK6srGTu3LkcPnyYzMxMDAwMGDVqFDU1NXprLFq0iIULF5Kfn0+zZs0YN24c8+fPJyEhgezsbM6fP09UVBQAffv2xc3NjZSUFGV+VVUVqampTJkypcE4CwsL2bFjBzt37uTzzz/nb3/7GyNGjOB///d/+e6773j//fdZuHAhP/zwgzJn7NixSjE/Ly+Pbt26MWjQIH755RdeffVV3nrrLV588UVKSkooKSnh1VdfVeZGR0cTFBTE8ePHGT58OOPHj+eXX36pN7a8vDyCgoJ47bXXOHHiBIsXL+add97RKzADxMfH4+Pjw5EjR5g5cyYzZsy4q8B7p7/+9a/Ex8dz+PBhmjVrpnePsrOzmThxInPmzOHUqVN88sknJCcn31UYr+vmzZtcvXpV7yWEEEIIIYQQQjxrpGWEEOK+rl27xsaNG0lLS2PQoEEAJCUl0apVK2VM3WKam5sbq1evpnv37lRUVKDRaJRzMTEx9O7dG4DQ0FAiIyMpLCzEzc0NgDFjxrB3714WLFigzOnSpQsLFy4EIDIyktjYWGxsbJg2bRoAUVFRrFu3juPHj9OrVy+MjIyIjo5W5ru6unLgwAEyMjIICgp66BwflKGhIVZWVgDY2dnpPSTtlVde0Ru7YcMGbG1tOXXqlF6v2/DwcHQ6HQBz5swhODiYzMxMvXtYtzgaGhpKUlIS8+bNA+Drr7/mxo0bDeYNtwvoGzZsQKvV0rFjRwYMGEBBQQHffPMNBgYGuLu78/7777N371569uzJ/v37OXToEKWlpTRv3hyAuLg4tmzZwt///nf+/Oc/o9FoaNasWb2tGkJCQggODgbg3XffZfXq1Rw6dIhhw4bdNXbFihUMGjSId955B4AOHTpw6tQpli9frvcHh+HDhzNz5kwAFixYwMqVK9m7dy/u7u4N5r1s2TL69esHQEREBCNGjODGjRu0aNGC6OhoIiIimDRpEnD7O7106VLmz5/PokWL6l3vvffe0/veCSGEEEIIIYQQzyLZISyEuK8LFy5QVVVFjx49lGPm5uZ6xba8vDwCAgJwcnJCq9Uqhbbi4mK9tTp37qz8bG9vj4mJiVIMrj1Wt9XEnXMMDQ2xtramU6dOenMAvXkffvgh3t7e2NraotFoWL9+vRJLdnY2Go1GeaWmpjYqx8fp3LlzBAcH4+bmhpmZGS4uLsD97xdwV+518w4JCeH8+fMcPHgQuN2+ISgoCFNT0wZjcXFxQavV6q3ZsWNHDAwM9I7VXufYsWNUVFRgbW2tdx9//PFHvbYXDambk6mpKWZmZnd95rVOnz6tFL9r9e7dm3PnzlFdXV3vmiqVipYtWza4Zn1zHBwcAPRyXLJkiV5+06ZNo6SkRK+lSV2RkZGUl5crr4sXL97z+kIIIYQQQgghRFOQHcJCiEdWWVmJTqdDp9ORmpqKra0txcXF6HQ6fv31V72xRkZGys8qlUrvfe2xO9sm1DfmznUAZV56ejrh4eHEx8fj6+uLVqtl+fLlSssDHx8fvb6/9vb2XLhw4YHzri2Y/vbbb8qxqqqqRs0NCAjA2dmZxMREWrVqRU1NDZ6enve9X/Udq3u/7OzsCAgIICkpCVdXV3bs2EFWVtY9Y7nf/b3zOhUVFTg4ONS7bt1d0A9yvTs/8wf1MGve6ztUUVFBdHQ0o0ePvmteixYt6l2vefPmyo5pIYQQQgghhBDiWSUFYSHEfbm5uWFkZERubi5OTk4AlJeXc/bsWfr27cuZM2coKysjNjYWR0dHAA4fPtxk8ebk5ODn56e0EAD0dq6q1WratWunN+d+OdbH1tYWgJKSEry8vAD0Cs0AxsbGAHq7WcvKyigoKCAxMVF52Nv+/fsfJtV6TZ06leDgYNq0aUPbtm3v2mH7qLp168bPP/9Ms2bNlJ3NdzI2NtbL+WF5eHiQk5OjdywnJ4cOHTpgaGj4yOs3pFu3bhQUFNz1PRFCCCGEEEIIIZ53UhAWQtyXVqtl0qRJzJs3DysrK+zs7Fi0aBEGBgaoVCqcnJwwNjZmzZo1TJ8+nZMnT7J06dImi7d9+/Z89tln7Nq1C1dXV1JSUsjNzcXV1bXBOffLsT5qtZpevXoRGxuLq6srpaWlSq/jWs7OzqhUKrZt28bw4cNRq9VYWlpibW3N+vXrcXBwoLi4mIiIiMeWv06nw8zMjJiYGJYsWfLY1q01ePBgfH19GTlyJB988AEdOnTgX//6F9u3b2fUqFH4+Pjg4uLCjz/+yNGjR2nTpg1arfahds++9dZbdO/enaVLl/Lqq69y4MAB1q5dy0cfffTY86orKioKf39/nJycGDNmDAYGBhw7doyTJ08SExPzRK8thBBPUlHsiKYOQQghhBBCNDHpISyEaJQVK1bg6+uLv78/gwcPpnfv3nh4eNCiRQtsbW1JTk5m06ZNdOzYkdjYWOLi4pos1tdff53Ro0fz6quv0rNnT8rKyvR2CzfkXjk2ZMOGDdy6dQtvb2/CwsLuKha2bt1aeUCZvb09s2bNwsDAgPT0dPLy8vD09OTNN99k+fLlj5x3LQMDA0JCQqiurmbixImPbd1aKpWKb775hr59+zJ58mQ6dOjAa6+9xk8//aT0OX7llVcYNmwYAwYMwNbWls8///yhrtWtWzcyMjJIT0/H09OTqKgolixZovdAuSdBp9Oxbds2du/eTffu3enVqxcrV67E2dn5iV5XCCGEEEIIIYR40lS/1W1+KYQQjVRZWUnr1q2Jj48nNDS0qcN5Ip7nHENDQ7l06RJbt25t6lD+sK5evYq5uTnl5eWYmZk1dThCCCGEEEIIIX7nGvt7qLSMEEI0ypEjRzhz5gw9evSgvLxcaUUQGBjYxJE9Pr+HHMvLyzlx4gRpaWlSDBZCCCGEEEIIIcRdpCAshGi0uLg4CgoKMDY2xtvbm+zsbGxsbJo6rMfqec8xMDCQQ4cOMX36dIYMGdLU4QghhBBCCCGEEOIZIy0jhBDiGebi4kJYWBhhYWFNHcpDSU5OJiwsjCtXrgCwePFitmzZwtGjR59aDP3796dr166sWrXqqV0TpGWEEEIIIYQQQoinS1pGCCHEH1BWVhYDBgzg8uXLWFhYNHU4z4Qvv/wSIyOjpg5DCCGEEEIIIYR4JkhBWAghxO+alZVVU4cghBDPDJeI7U0dgnhIRbEjmjoEIYQQQvxOGDR1AEIIUZ9r164xfvx4TE1NcXBwYOXKlfTv319pnZCSkoKPjw9arZaWLVsybtw4SktLlflZWVmoVCp27dqFl5cXarWagQMHUlpayo4dO/Dw8MDMzIxx48Zx/fp1ZV7//v2ZPXs2YWFhWFpaYm9vT2JiIpWVlUyePBmtVku7du3YsWOHMqe6uprQ0FBcXV1Rq9W4u7uTkJDwyDneqaioCJVKpddu4cqVK6hUKrKysigqKmLAgAEAWFpaolKpCAkJAWDnzp289NJLWFhYYG1tjb+/P4WFhXetnZGRQZ8+fVCr1XTv3p2zZ8+Sm5uLj48PGo2Gl19+mUuXLgGwb98+jIyM+Pnnn/XiDAsLo0+fPvfNv9ann36Kh4cHLVq04IUXXuCjjz5SztV+jrUtJwCOHj2KSqWiqKhIOZaTk0P//v0xMTHB0tISnU7H5cuXAe66py4uLrz77rtMmTIFrVaLk5MT69ev14vp4sWLBAUFYWFhgZWVFYGBgXrXE0IIIYQQQgghnldSEBZCPJPmzp1LTk4OW7duZc+ePWRnZ5Ofn6+cr6qqYunSpRw7dowtW7ZQVFSkFD/rWrx4MWvXruX7779XinyrVq0iLS2N7du3s3v3btasWaM3Z+PGjdjY2HDo0CFmz57NjBkzGDt2LH5+fuTn5zN06FAmTJigFJJrampo06YNmzZt4tSpU0RFRfH222+TkZHxSDk+KEdHRzZv3gxAQUEBJSUlSmG6srKSuXPncvjwYTIzMzEwMGDUqFHU1NTorbFo0SIWLlxIfn4+zZo1Y9y4ccyfP5+EhASys7M5f/48UVFRAPTt2xc3NzdSUlKU+VVVVaSmpjJlypRGxZyamkpUVBTLli3j9OnTvPvuu7zzzjts3Lix0XkfPXqUQYMG0bFjRw4cOMD+/fsJCAigurq6wTnx8fH4+Phw5MgRZs6cyYwZMygoKFBy0Ol0aLVasrOzycnJQaPRMGzYMH799dcG17x58yZXr17VewkhhBBCCCGEEM8aaRkhhHjmXLt2jY0bN5KWlsagQYMASEpKolWrVsqYugVHNzc3Vq9eTffu3amoqECj0SjnYmJi6N27NwChoaFERkZSWFiIm5sbAGPGjGHv3r0sWLBAmdOlSxcWLlwIQGRkJLGxsdjY2DBt2jQAoqKiWLduHcePH6dXr14YGRkRHR2tzHd1deXAgQNkZGQQFBT00Dk+KENDQ6U9gp2dnV4P4VdeeUVv7IYNG7C1teXUqVN4enoqx8PDw9HpdADMmTOH4OBgMjMz9e5hcnKyMj40NJSkpCTmzZsHwNdff82NGzcazPtOixYtIj4+ntGjRwO3792pU6f45JNPmDRpUqPW+OCDD/Dx8dHbWfziiy/ec87w4cOZOXMmAAsWLGDlypXs3bsXd3d3vvjiC2pqavj0009RqVTA7c/GwsKCrKwshg4dWu+a7733nt73QAghhBBCCCGEeBbJDmEhxDPnwoULVFVV0aNHD+WYubk57u7uyvu8vDwCAgJwcnJCq9XSr18/AIqLi/XW6ty5s/Kzvb09JiYmSjG49ljdVhN3zjE0NMTa2ppOnTrpzQH05n344Yd4e3tja2uLRqNh/fr1SizZ2dloNBrllZqa2qgcH6dz584RHByMm5sbZmZmuLi4APe/X8BdudfNOyQkhPPnz3Pw4EEAkpOTCQoKwtTU9L4xVVZWUlhYSGhoqN79iYmJ0WtncT+1O4QfRN08VSoVLVu2VPI6duwY58+fR6vVKjFZWVlx48aNe8YVGRlJeXm58rp48eIDxSSEEEIIIYQQQjwNskNYCPHcqaysRKfTodPpSE1NxdbWluLiYnQ63V3/pN/IyEj5WaVS6b2vPXZn24T6xty5DqDMS09PJzw8nPj4eHx9fdFqtSxfvpwffvgBAB8fH72+v/b29ly4cOGB8zYwuP03vN9++005VlVV1ai5AQEBODs7k5iYSKtWraipqcHT0/O+96u+Y3Xvl52dHQEBASQlJeHq6sqOHTvIyspqVEwVFRUAJCYm0rNnT71zhoaGQONyVqvVjbpeXff6HlRUVODt7U1qaupd82xtbRtcs3nz5jRv3vyBYxFCCCGEEEIIIZ4mKQgLIZ45bm5uGBkZkZubi5OTEwDl5eWcPXuWvn37cubMGcrKyoiNjcXR0RGAw4cPN1m8OTk5+Pn5KS0IAL2dpGq1mnbt2unNuV+O9aktRpaUlODl5QWgV2gGMDY2BtDrn1tWVkZBQQGJiYnKw97279//MKnWa+rUqQQHB9OmTRvatm2rtJe4H3t7e1q1asWFCxcYP358vWPq5mxpaQncnXPnzp3JzMx8bO0aunXrxhdffIGdnR1mZmaPZU0hhBBCCCGEEOJZIQVhIcQzR6vVMmnSJObNm4eVlRV2dnYsWrQIAwMDVCoVTk5OGBsbs2bNGqZPn87JkydZunRpk8Xbvn17PvvsM3bt2oWrqyspKSnk5ubi6ura4Jz75VgftVpNr169iI2NxdXVldLSUqXXcS1nZ2dUKhXbtm1j+PDhqNVqLC0tsba2Zv369Tg4OFBcXExERMRjy1+n02FmZkZMTAxLlix5oLnR0dG88cYbmJubM2zYMG7evMnhw4e5fPkyc+fOpV27djg6OrJ48WKWLVvG2bNniY+P11sjMjKSTp06MXPmTKZPn46xsTF79+5l7Nix2NjYPHA+48ePZ/ny5QQGBrJkyRLatGnDTz/9xJdffsn8+fNp06bNA68phBDPiqLYEU0dghBCCCGEaGLSQ1gI8UxasWIFvr6++Pv7M3jwYHr37o2HhwctWrTA1taW5ORkNm3aRMeOHYmNjSUuLq7JYn399dcZPXo0r776Kj179qSsrExvt3BD7pVjQzZs2MCtW7fw9vYmLCyMmJgYvfOtW7cmOjqaiIgI7O3tmTVrFgYGBqSnp5OXl4enpydvvvkmy5cvf+S8axkYGBASEkJ1dTUTJ058oLlTp07l008/JSkpiU6dOtGvXz+Sk5OVYrqRkRGff/45Z86coXPnzrz//vt35dyhQwd2797NsWPH6NGjB76+vvzjH/+gWbOH+5uniYkJ+/btw8nJidGjR+Ph4UFoaCg3btyQHcNCCCGEEEIIIZ57qt/qNmYUQohnVGVlJa1btyY+Pp7Q0NCmDueJeJ5zDA0N5dKlS2zdurWpQ3lmXL16FXNzc8rLy6WQLIQQQgghhBDiiWvs76HSMkII8Uw6cuQIZ86coUePHpSXlyutCAIDA5s4ssfn95BjeXk5J06cIC0tTYrBQgghhBBCCCHEc0BaRgghnllxcXF06dKFwYMHU1lZSXZ29kP1hH0SXFxcWLVq1SOv01Q5JicnY2FhobxfvHgxXbt2feB1AgMDGTp0KNOnT2fIkCHKcZVKxZYtWx490EbKyspCpVJx5cqVp3ZNIYQQQgghhBDieSQ7hIUQzyQvLy/y8vKaOozHJisriwEDBnD58mWlEPss5RgeHs7s2bMfeF5WVtbjD+Yh+Pn5UVJSgrm5+WNfOysri6ysLBYvXvzY1xZCCCGEEEIIIZ42KQgLIYRAo9Gg0WiaOoyHZmxsTMuWLR/rmh9//DGjR49W3v/666+sWbOGN954AyMjo8d6LSGEeFpcIrY3dQjiKSmKHdHUIQghhBDiGSUtI4QQD+TatWuMHz8eU1NTHBwcWLlyJf379ycsLAyAlJQUfHx80Gq1tGzZknHjxlFaWqrMr/2n/bt27cLLywu1Ws3AgQMpLS1lx44deHh4YGZmxrhx47h+/boyr3///syePZuwsDAsLS2xt7cnMTGRyspKJk+ejFarpV27duzYsUOZU11dTWhoKK6urqjVatzd3UlISHjkHO9UVFSESqXi6NGjyrErV66gUqnIysqiqKiIAQMGAGBpaYlKpSIkJASAnTt38tJLL2FhYYG1tTX+/v4UFhbetXZGRgZ9+vRBrVbTvXt3zp49S25uLj4+Pmg0Gl5++WUuXboEwL59+zAyMuLnn3/WizMsLIw+ffrUm8OdLSOysrLo0aMHpqamWFhY0Lt3b3766Sfl/Lp162jbti3Gxsa4u7uTkpJyz3t68eJFgoKCsLCwwMrKisDAQIqKipTz9d3fkSNHKvcJ4ObNmyxYsABHR0eaN29Ou3bt+Nvf/qbEW7dlRG1LjF27duHh4YFGo2HYsGGUlJToXePTTz/Fw8ODFi1a8MILL/DRRx8p5xwdHfmv//ovvvrqK/75z38ycOBA4HY7DCGEEEIIIYQQ4nklBWEhxAOZO3cuOTk5bN26lT179pCdnU1+fr5yvqqqiqVLl3Ls2DG2bNlCUVGRXlGv1uLFi1m7di3ff/+9UixctWoVaWlpbN++nd27d7NmzRq9ORs3bsTGxoZDhw4xe/ZsZsyYwdixY/Hz8yM/P5+hQ4cyYcIEpZBcU1NDmzZt2LRpE6dOnSIqKoq3336bjIyMR8rxQTk6OrJ582YACgoKKCkpUQrTlZWVzJ07l8OHD5OZmYmBgQGjRo2ipqZGb41FixaxcOFC8vPzadasGePGjWP+/PkkJCSQnZ3N+fPniYqKAqBv3764ubnpFWmrqqpITU1lypQp94331q1bjBw5kn79+nH8+HEOHDjAn//8Z6UQ+tVXXzFnzhzeeustTp48yeuvv87kyZPZu3dvvetVVVWh0+nQarVkZ2eTk5OjFGh//fXXRt/HiRMn8vnnn7N69WpOnz7NJ598cs9dzdevXycuLo6UlBT27dtHcXEx4eHhyvnU1FSioqJYtmwZp0+f5t133+Wdd95h48aNAIwYMYJdu3axe/duvvnmG9asWcNbb71Fs2byj2uEEEIIIYQQQjy/5LdaIUSjXbt2jY0bN5KWlsagQYMASEpKolWrVsqYugVHNzc3Vq9eTffu3amoqNAr3sXExNC7d28AQkNDiYyMpLCwEDc3NwDGjBnD3r17WbBggTKnS5cuLFy4EIDIyEhiY2OxsbFh2rRpAERFRbFu3TqOHz9Or169MDIyIjo6Wpnv6urKgQMHyMjIICgo6KFzfFCGhoZYWVkBYGdnp/cwt1deeUVv7IYNG7C1teXUqVN4enoqx8PDw9HpdADMmTOH4OBgMjMz9e5hcnKyMj40NJSkpCTmzZsHwNdff82NGzcazLuuq1evUl5ejr+/P23btgXAw8NDOR8XF0dISAgzZ84EbhfQDx48SFxcnLITuq4vvviCmpoaPv30U6WonJSUhIWFBVlZWQwdOvS+MZ09e5aMjAz27NnD4MGDAZTvSkOqqqr4+OOPlRxmzZrFkiVLlPOLFi0iPj5eaQvh6urKqVOn+OSTT5g0aRI7d+4kOjqaoUOH8q9//Ys33niDMWPGMGvWLAwNDe+63s2bN7l586befRRCCCGEEEIIIZ41skNYCNFoFy5coKqqih49eijHzM3NcXd3V97n5eUREBCAk5MTWq2Wfv36AVBcXKy3VufOnZWf7e3tMTEx0Svw2dvb67WauHOOoaEh1tbWdOrUSW8OoDfvww8/xNvbG1tbWzQaDevXr1diyc7OVnrnajQaUlNTG5Xj43Tu3DmCg4Nxc3PDzMwMFxcX4P73C7gr97p5h4SEcP78eQ4ePAjcbqEQFBSEqanpfWOysrIiJCQEnU5HQEAACQkJeq0WTp8+rRSia/Xu3ZvTp0/Xu96xY8c4f/48Wq1WuddWVlbcuHFDrz3GvRw9ehRDQ0Pl+9QYJiYmSjEYwMHBQblHlZWVFBYWEhoaqvcdiImJUWL68ccf+cc//sGoUaN48cUXyczMpKqq6q7d27Xee+89zM3NlZejo2OjYxVCCCGEEEIIIZ4W2SEshHhsKisr0el06HQ6UlNTsbW1pbi4GJ1Od1drgLoP5VKpVHc9pEulUt1VeKtvzJ3rAMq89PR0wsPDiY+Px9fXF61Wy/Lly/nhhx8A8PHx0ev7a29vz4ULFx44bwOD239b++2335RjVVVVjZobEBCAs7MziYmJtGrVipqaGjw9Pe97v+o7Vvd+2dnZERAQQFJSEq6uruzYsYOsrKxG55SUlMQbb7zBzp07+eKLL1i4cCF79uyhV69ejV6jVkVFBd7e3qSmpt51ztbWFrh9D+veP9C/h2q1+oGvW9/3pfYaFRUVACQmJtKzZ0+9cbW7f2fMmAHAqVOngNsPrqvbcuJOkZGRzJ07V3l/9epVKQoLIYQQQgghhHjmSEFYCNFobm5uGBkZkZubi5OTEwDl5eWcPXuWvn37cubMGcrKyoiNjVUKYYcPH26yeHNycvDz81NaGwB6O1LVajXt2rXTm3O/HOtTW9QsKSnBy8sLQK/QDLeLiXD7QXe1ysrKKCgoIDExUXnY2/79+x8m1XpNnTqV4OBg2rRpQ9u2be/a1Xs/Xl5eeHl5ERkZia+vL2lpafTq1QsPDw9ycnKYNGmSMjYnJ4eOHTvWu063bt344osvsLOzw8zMrN4xtra2eruQq6urOXnypNKColOnTtTU1PDdd98pLSMehb29Pa1ateLChQuMHz/+nmP79+9P//7977tm8+bNad68+SPHJoQQQgghhBBCPElSEBZCNJpWq2XSpEnMmzcPKysr7OzsWLRoEQYGBqhUKpycnDA2NmbNmjVMnz6dkydPsnTp0iaLt3379nz22Wfs2rULV1dXUlJSyM3NxdXVtcE598uxPmq1ml69ehEbG4urqyulpaVKr+Nazs7OqFQqtm3bxvDhw1Gr1VhaWmJtbc369etxcHCguLiYiIiIx5a/TqfDzMyMmJgYvd659/Pjjz+yfv16/uu//otWrVpRUFDAuXPnmDhxIgDz5s0jKCgILy8vBg8ezNdff82XX37Jt99+W+9648ePZ/ny5QQGBrJkyRLatGnDTz/9xJdffsn8+fNp06YNAwcOZO7cuWzfvp22bduyYsUKrly5oqzh4uLCpEmTmDJlCqtXr6ZLly789NNPlJaWNqovcn2io6N54403MDc3Z9iwYdy8eZPDhw9z+fJlvZ2+Qgjxe1IUO6KpQxBCCCGEEE1MeggLIR7IihUr8PX1xd/fn8GDB9O7d288PDxo0aIFtra2JCcns2nTJjp27EhsbCxxcXFNFuvrr7/O6NGjefXVV+nZsydlZWV6u4Ubcq8cG7JhwwZu3bqFt7c3YWFhxMTE6J1v3bo10dHRREREYG9vz6xZszAwMCA9PZ28vDw8PT158803Wb58+SPnXcvAwICQkBCqq6uVYm5jmJiYcObMGV555RU6dOjAn//8Z/7yl7/w+uuvAzBy5EgSEhKIi4vjxRdf5JNPPiEpKanBXbQmJibs27cPJycnRo8ejYeHB6Ghody4cUPZMTxlyhQmTZrExIkT6devH25ubnc9oG7dunWMGTOGmTNn8sILLzBt2jQqKysf7uZwewf1p59+SlJSEp06daJfv34kJyff8w8GQgghhBBCCCHE8071251NG4UQ4gFUVlbSunVr4uPjCQ0NbepwnojnOcfQ0FAuXbrE1q1bmzqUP5yrV69ibm5OeXl5g60yhBBCCCGEEEKIx6Wxv4dKywghxAM5cuQIZ86coUePHpSXlyutCAIDA5s4ssfn95BjeXk5J06cIC0tTYrBQgghhBBCCCGEUEhBWAjxwOLi4igoKMDY2Bhvb2+ys7OxsbFp6rAeq+c9x8DAQA4dOsT06dMZMmRIU4cjhBBCCCGEEEKIZ4T0EBZCPBAvLy/y8vKoqKjgl19+Yc+ePXTq1Kmpw3qsnlaOLi4urFq16rGvC5CVlcX169dZuXLlE1kfIDk5GQsLC+X94sWL6dq16z3n9O/fn7CwsIe+ZlZWFiqVSu+Bc48jLiGEEEIIIYQQ4o9CCsJCCPGcaEwx9Fn35ZdfsnTp0kaNra947OfnR0lJCebm5o2+Znh4OJmZmQ8SphBCCCGEEEII8bslLSOEEEI8NVZWVo8039jYmJYtWz7QHI1Gg0ajeaTrCiHE74VLxPamDuGBFcWOaOoQhBBCCCF+V2SHsBDiqbt27Rrjx4/H1NQUBwcHVq5cqbcbNCUlBR8fH7RaLS1btmTcuHGUlpYq82t3yu7atQsvLy/UajUDBw6ktLSUHTt24OHhgZmZGePGjeP69evKvP79+zN79mzCwsKwtLTE3t6exMREKisrmTx5Mlqtlnbt2rFjxw5lTnV1NaGhobi6uqJWq3F3dychIeGRc7xTUVERKpWKo0ePKseuXLmCSqUiKyuLoqIiBgwYAIClpSUqlYqQkBAAdu7cyUsvvYSFhQXW1tb4+/tTWFh419oZGRn06dMHtVpN9+7dOXv2LLm5ufj4+KDRaHj55Ze5dOkSAPv27cPIyIiff/5ZL86wsDD69Olzz9xTUlJwcXHB3Nyc1157jWvXrul9BnXvwUcffUT79u1p0aIF9vb2jBkzBoCQkBC+++47EhISUKlUqFQqioqK6t0lnZycjJOTEyYmJowaNYqysjK9eO5sGRESEsLIkSOJi4vDwcEBa2tr/vKXv1BVVaWMuXnzJuHh4bRu3RpTU1N69uxJVlbWPfMWQgghhBBCCCGeB1IQFkI8dXPnziUnJ4etW7eyZ88esrOzyc/PV85XVVWxdOlSjh07xpYtWygqKlKKn3UtXryYtWvX8v3333Px4kWCgoJYtWoVaWlpbN++nd27d7NmzRq9ORs3bsTGxoZDhw4xe/ZsZsyYwdixY/Hz8yM/P5+hQ4cyYcIEpZBcU1NDmzZt2LRpE6dOnSIqKoq3336bjIyMR8rxQTk6OrJ582YACgoKKCkpUQrTlZWVzJ07l8OHD5OZmYmBgQGjRo2ipqZGb41FixaxcOFC8vPzadasGePGjWP+/PkkJCSQnZ3N+fPniYqKAqBv3764ubmRkpKizK+qqiI1NZUpU6Y0GGdhYSFbtmxh27ZtbNu2je+++47Y2Nh6xx4+fJg33niDJUuWUFBQwM6dO+nbty8ACQkJ+Pr6Mm3aNEpKSigpKcHR0fGuNX744QdCQ0OZNWsWR48eZcCAAcTExNz3fu7du5fCwkL27t3Lxo0bSU5OJjk5WTk/a9YsDhw4QHp6OsePH2fs2LEMGzaMc+fO3XdtIYQQQgghhBDiWSYtI4QQT9W1a9fYuHEjaWlpDBo0CICkpCRatWqljKlbcHRzc2P16tV0796diooKvX/6HxMTQ+/evQEIDQ0lMjKSwsJC3NzcABgzZgx79+5lwYIFhsHXoQABAABJREFUypwuXbqwcOFCACIjI4mNjcXGxoZp06YBEBUVxbp16zh+/Di9evXCyMiI6OhoZb6rqysHDhwgIyODoKCgh87xQRkaGirtFuzs7PQemvbKK6/ojd2wYQO2tracOnUKT09P5Xh4eDg6nQ6AOXPmEBwcTGZmpt49rFsUDQ0NJSkpiXnz5gHw9ddfc+PGjQbzhtsF9OTkZLRaLQATJkwgMzOTZcuW3TW2uLgYU1NT/P390Wq1ODs74+XlBYC5uTnGxsaYmJjcs0VEQkICw4YNY/78+QB06NCB77//np07dzY4B27vsl67di2Ghoa88MILjBgxgszMTKZNm0ZxcTFJSUkUFxcrn1l4eDg7d+4kKSmJd999t941b968yc2bN5X3V69evWcMQgghhBBCCCFEU5AdwkKIp+rChQtUVVXRo0cP5Zi5uTnu7u7K+7y8PAICAnByckKr1dKvXz/gdgGxrs6dOys/29vbY2JiohSDa4/VbTVx5xxDQ0Osra3p1KmT3hxAb96HH36It7c3tra2aDQa1q9fr8SSnZ2t9KjVaDSkpqY2KsfH6dy5cwQHB+Pm5oaZmRkuLi7A/e8XcFfudfMOCQnh/PnzHDx4ELjdmiEoKAhTU9MGY3FxcVGKwQAODg53fQa1hgwZgrOzM25ubkyYMIHU1FS9Fh+Ncfr0aXr27Kl3zNfX977zXnzxRQwNDeuN88SJE1RXV9OhQwe9z/a7777Ta8Vxp/feew9zc3PlVd+OZiGEEEIIIYQQoqnJDmEhxDOlsrISnU6HTqcjNTUVW1tbiouL0el0/Prrr3pjjYyMlJ9VKpXe+9pjd7ZNqG/MnesAyrz09HTCw8OJj4/H19cXrVbL8uXL+eGHHwDw8fHR6/trb2/PhQsXHjhvA4Pbf5/77bfflGN1e9reS0BAAM7OziQmJtKqVStqamrw9PS87/2q71jd+2VnZ0dAQABJSUm4urqyY8eO+/bRbcxnUEur1ZKfn09WVha7d+8mKiqKxYsXk5ubq7cD+km4V5wVFRUYGhqSl5enVzQG7vlwusjISObOnau8v3r1qhSFhRBCCCGEEEI8c6QgLIR4qtzc3DAyMiI3NxcnJycAysvLOXv2LH379uXMmTOUlZURGxurFNMOHz7cZPHm5OTg5+fHzJkzlWN1d4mq1WratWunN+d+OdbH1tYWgJKSEqVtQt1CM4CxsTFw+0F3tcrKyigoKCAxMVF52Nv+/fsfJtV6TZ06leDgYNq0aUPbtm2V9hKPS7NmzRg8eDCDBw9m0aJFWFhY8D//8z+MHj0aY2NjvVzr4+HhoRTna9XuaH5YXl5eVFdXU1paet8H6NXVvHlzmjdv/kjXFkIIIYQQQgghnjQpCAshniqtVsukSZOYN28eVlZW2NnZsWjRIgwMDFCpVDg5OWFsbMyaNWuYPn06J0+eZOnSpU0Wb/v27fnss8/YtWsXrq6upKSkkJubi6ura4Nz7pdjfdRqNb169SI2NhZXV1dKS0uVXse1nJ2dUalUbNu2jeHDh6NWq7G0tMTa2pr169fj4OBAcXExERERjy1/nU6HmZkZMTExLFmy5LGtC7Bt2zYuXLhA3759sbS05JtvvqGmpkZpreHi4sIPP/xAUVERGo1G6aFc1xtvvEHv3r2Ji4sjMDCQXbt23bd/8P106NCB8ePHM3HiROLj4/Hy8uLSpUtkZmbSuXNnRowY8UjrCyFEUyqKlf+GCSGEEEL80UkPYSHEU7dixQp8fX3x9/dn8ODB9O7dGw8PD1q0aIGtrS3Jycls2rSJjh07EhsbS1xcXJPF+vrrrzN69GheffVVevbsSVlZmd5u4YbcK8eGbNiwgVu3buHt7U1YWBgxMTF651u3bk10dDQRERHY29sza9YsDAwMSE9PJy8vD09PT958802WL1/+yHnXMjAwICQkhOrqaiZOnPjY1gWwsLDgyy+/ZODAgXh4ePDxxx/z+eef8+KLLwK3H+RmaGhIx44dldYhd+rVqxeJiYkkJCTQpUsXdu/efVch/WEkJSUxceJE3nrrLdzd3Rk5cqTejm8hhBBCCCGEEOJ5pfqtbsNKIYRoApWVlbRu3Zr4+HhCQ0ObOpwn4nnOMTQ0lEuXLrF169amDuW5cvXqVczNzSkvL8fMzKypwxFCCCGEEEII8TvX2N9DpWWEEOKpO3LkCGfOnKFHjx6Ul5crrQgCAwObOLLH5/eQY3l5OSdOnCAtLU2KwUIIIYQQQgghxO+EFISFEE0iLi6OgoICjI2N8fb2Jjs7Gxsbm6YO67F63nMMDAzk0KFDTJ8+nSFDhjR1OEIIIYQQQgghhHgMpGWEEEI841xcXAgLCyMsLKypQ3koycnJhIWFceXKlUbPCQkJ4cqVK2zZsuWxxNAU91BaRgghhBBCCCGEeJqkZYQQQvxBZWVlMWDAAC5fvoyFhUVTh/NMyM3NxdTUtKnDEEIIIYQQQgghmpwUhIUQQvzu2draNnUIQgjxTHCJ2N7UIYjnTFHsiKYOQQghhBCPmUFTByCEEA25du0a48ePx9TUFAcHB1auXEn//v2Vf/afkpKCj48PWq2Wli1bMm7cOEpLS5X5WVlZqFQqdu3ahZeXF2q1moEDB1JaWsqOHTvw8PDAzMyMcePGcf36dWVe//79mT17NmFhYVhaWmJvb09iYiKVlZVMnjwZrVZLu3bt2LFjhzKnurqa0NBQXF1dUavVuLu7k5CQ8Mg53qmoqAiVSsXRo0eVY1euXEGlUpGVlUVRUREDBgwAwNLSEpVKRUhICAA7d+7kpZdewsLCAmtra/z9/SksLLxr7YyMDPr06YNaraZ79+6cPXuW3NxcfHx80Gg0vPzyy1y6dAmAffv2YWRkxM8//6wXZ1hYGH369Gkw75iYGOzs7NBqtUydOpWIiAi6du1a79jPPvsMa2trbt68qXd85MiRTJgwQXn/9ddf0717d1q0aIGNjQ2jRo1Szrm4uLBq1SrlvUql4tNPP2XUqFGYmJjQvn37ux6cd/LkSV5++WU0Gg329vZMmDCB//znPw3mJIQQQgghhBBCPA+kICyEeGbNnTuXnJwctm7dyp49e8jOziY/P185X1VVxdKlSzl27BhbtmyhqKhIKX7WtXjxYtauXcv333/PxYsXCQoKYtWqVaSlpbF9+3Z2797NmjVr9OZs3LgRGxsbDh06xOzZs5kxYwZjx47Fz8+P/Px8hg4dyoQJE5RCck1NDW3atGHTpk2cOnWKqKgo3n77bTIyMh4pxwfl6OjI5s2bASgoKKCkpEQpTFdWVjJ37lwOHz5MZmYmBgYGjBo1ipqaGr01Fi1axMKFC8nPz6dZs2aMGzeO+fPnk5CQQHZ2NufPnycqKgqAvn374ubmRkpKijK/qqqK1NRUpkyZUm+MqampLFu2jPfff5+8vDycnJxYt25dgzmNHTuW6upqvYJtaWkp27dvV66xfft2Ro0axfDhwzly5AiZmZn06NHjnvcqOjqaoKAgjh8/zvDhwxk/fjy//PILcLvIPnDgQLy8vDh8+DA7d+7k3//+N0FBQfdcUwghhBBCCCGEeNZJywghxDPp2rVrbNy4kbS0NAYNGgRAUlISrVq1UsbULTi6ubmxevVqunfvTkVFBRqNRjkXExND7969AQgNDSUyMpLCwkLc3NwAGDNmDHv37mXBggXKnC5durBw4UIAIiMjiY2NxcbGhmnTpgEQFRXFunXrOH78OL169cLIyIjo6GhlvqurKwcOHCAjI6PBImJjcnxQhoaGWFlZAWBnZ6fXQ/iVV17RG7thwwZsbW05deoUnp6eyvHw8HB0Oh0Ac+bMITg4mMzMTL17mJycrIwPDQ0lKSmJefPmAbd36t64caPBvNesWUNoaCiTJ08Gbt/L3bt3U1FRUe94tVrNuHHjSEpKYuzYsQD893//N05OTvTv3x+AZcuW8dprr+l9Bl26dLnnvQoJCSE4OBiAd999l9WrV3Po0CGGDRvG2rVr8fLy4t1339W7X46Ojpw9e5YOHTrctd7Nmzf1djFfvXr1ntcXQgghhBBCCCGaguwQFkI8ky5cuEBVVZXeLk9zc3Pc3d2V93l5eQQEBODk5IRWq6Vfv34AFBcX663VuXNn5Wd7e3tMTEyUYnDtsbqtJu6cY2hoiLW1NZ06ddKbA+jN+/DDD/H29sbW1haNRsP69euVWLKzs9FoNMorNTW1UTk+TufOnSM4OBg3NzfMzMxwcXEB7n+/gLtyr5t3SEgI58+f5+DBgwAkJycTFBTU4EPcCgoK7tq9e7/dvNOmTWP37t383//9n3KNkJAQVCoVAEePHlWK6o1VN09TU1PMzMyUvI4dO8bevXv1PrMXXngBQK/NRl3vvfce5ubmysvR0fGB4hFCCCGEEEIIIZ4G2SEshHguVVZWotPp0Ol0pKamYmtrS3FxMTqdjl9//VVvrJGRkfKzSqXSe1977M62CfWNuXMdQJmXnp5OeHg48fHx+Pr6otVqWb58OT/88AMAPj4+en1/7e3tuXDhwgPnbWBw++94v/32m3KsqqqqUXMDAgJwdnYmMTGRVq1aUVNTg6en533vV33H6t4vOzs7AgICSEpKwtXVlR07dpCVlfXAud2Ll5cXXbp04bPPPmPo0KH885//ZPv2//9gJLVa/cBr3ut7UFFRQUBAAO+///5d8xwcHOpdLzIykrlz5yrvr169KkVhIYQQQgghhBDPHCkICyGeSW5ubhgZGZGbm4uTkxMA5eXlnD17lr59+3LmzBnKysqIjY1Vim6HDx9usnhzcnLw8/Nj5syZyrG6O0nVajXt2rXTm3O/HOtja2sLQElJCV5eXgB6hWYAY2Nj4PaD7mqVlZVRUFBAYmKi8rC3/fv3P0yq9Zo6dSrBwcG0adOGtm3bKu0l6uPu7k5ubi4TJ05UjuXm5jbqGqtWreL//u//GDx4sF6xtXPnzmRmZiptKB5Vt27d2Lx5My4uLjRr1rj/VTZv3pzmzZs/lusLIYQQQgghhBBPihSEhRDPJK1Wy6RJk5g3bx5WVlbY2dmxaNEiDAwMUKlUODk5YWxszJo1a5g+fTonT55k6dKlTRZv+/bt+eyzz9i1axeurq6kpKSQm5uLq6trg3Pul2N91Go1vXr1IjY2FldXV0pLS5Vex7WcnZ1RqVRs27aN4cOHo1arsbS0xNramvXr1+Pg4EBxcTERERGPLX+dToeZmRkxMTEsWbLknmNnz57NtGnT8PHxwc/Pjy+++ILjx4/rtfGoz7hx4wgPDycxMZHPPvtM79yiRYsYNGgQbdu25bXXXuPWrVt88803en2hH8Rf/vIXEhMTCQ4OZv78+VhZWXH+/HnS09P59NNPMTQ0fKh1hRCiqRXFjmjqEIQQQgghRBOTHsJCiGfWihUr8PX1xd/fn8GDB9O7d288PDxo0aIFtra2JCcns2nTJjp27EhsbCxxcXFNFuvrr7/O6NGjefXVV+nZsydlZWV6u4Ubcq8cG7JhwwZu3bqFt7c3YWFhxMTE6J1v3bo10dHRREREYG9vz6xZszAwMCA9PZ28vDw8PT158803Wb58+SPnXcvAwICQkBCqq6v1dv7WZ/z48URGRhIeHk63bt348ccfCQkJuWfOcLu/8iuvvIJGo2HkyJF65/r378+mTZvYunUrXbt2ZeDAgRw6dOih82nVqhU5OTlUV1czdOhQOnXqRFhYGBYWFkrbDiGEEEIIIYQQ4nmk+q1uI0ohhHiGVVZW0rp1a+Lj4wkNDW3qcJ6I5znH0NBQLl26xNatWx947pAhQ2jZsiUpKSn3HDdo0CBefPFFVq9e/bBhPjVXr17F3Nyc8vJyzMzMmjocIYQQQgghhBC/c439PVRaRgghnllHjhzhzJkz9OjRg/LycqUVQWBgYBNH9vj8HnIsLy/nxIkTpKWlNaoYfP36dT7++GN0Oh2GhoZ8/vnnfPvtt+zZs6fBOZcvXyYrK4usrCw++uijxxm+EEIIIYQQQgjxhyIFYSHEMy0uLo6CggKMjY3x9vYmOzsbGxubpg7rsXrecwwMDOTQoUNMnz6dIUOG3He8SqXim2++YdmyZdy4cQN3d3c2b97M4MGDG5zj5eXF5cuXef/993F3d3+c4QshhBBCCCGEEH8o0jJCCCEeIxcXF8LCwggLC2vqUB5KcnIyYWFhXLlypdFzQkJCuHLlClu2bHlicT2Kh8npcZCWEUIIIYQQQgghnqbG/h4qT8YRQogmlJWVhUqleurFyqamUqmeWgH51Vdf5ezZs0/lWkIIIYQQQgghxLNOWkYIIYT4XVOr1ajV6qYOQwghngkuEdubOoRHVhQ7oqlDEEIIIYR4rskOYSHEY3Ht2jXGjx+PqakpDg4OrFy5kv79+yutE1JSUvDx8UGr1dKyZUvGjRtHaWmpMr92p+yuXbvw8vJCrVYzcOBASktL2bFjBx4eHpiZmTFu3DiuX7+uzOvfvz+zZ88mLCwMS0tL7O3tSUxMpLKyksmTJ6PVamnXrh07duxQ5lRXVxMaGoqrqytqtRp3d3cSEhIeOcc7FRUVoVKpOHr0qHLsypUrqFQqsrKyKCoqYsCAAQBYWlqiUqkICQkBYOfOnbz00ktYWFhgbW2Nv78/hYWFd62dkZFBnz59UKvVdO/enbNnz5Kbm4uPjw8ajYaXX36ZS5cuAbBv3z6MjIz4+eef9eIMCwujT58+DeYdExODnZ0dWq2WqVOnEhERQdeuXRsc7+LiwqpVq/SOde3alcWLFyvnAUaNGoVKpVLeFxYWEhgYiL29PRqNhu7du/Ptt9/etXZMTAwTJ05Eo9Hg7OzM1q1buXTpEoGBgWg0Gjp37szhw4eVOcnJyVhYWCjvFy9eTNeuXUlJScHFxQVzc3Nee+01rl27poypqanhvffeU74jXbp04e9//3uDOQshhBBCCCGEEM8LKQgLIR6LuXPnkpOTw9atW9mzZw/Z2dnk5+cr56uqqli6dCnHjh1jy5YtFBUVKcXPuhYvXszatWv5/vvvuXjxIkFBQaxatYq0tDS2b9/O7t27WbNmjd6cjRs3YmNjw6FDh5g9ezYzZsxg7Nix+Pn5kZ+fz9ChQ5kwYYJSSK6pqaFNmzZs2rSJU6dOERUVxdtvv01GRsYj5figHB0d2bx5MwAFBQWUlJQohenKykrmzp3L4cOHyczMxMDAgFGjRlFTU6O3xqJFi1i4cCH5+fk0a9aMcePGMX/+fBISEsjOzub8+fNERUUB0LdvX9zc3EhJSVHmV1VVkZqaypQpU+qNMTU1lWXLlvH++++Tl5eHk5MT69ate+icAXJzcwFISkqipKREeV9RUcHw4cPJzMzkyJEjDBs2jICAAIqLi/Xmr1y5kt69e3PkyBFGjBjBhAkTmDhxIn/605/Iz8+nbdu2TJw4kXu1yC8sLGTLli1s27aNbdu28d133xEbG6ucf++99/jss8/4+OOP+ec//8mbb77Jn/70J7777rtHyl0IIYQQQgghhGhq0jJCCPHIrl27xsaNG0lLS2PQoEHA7WJfq1atlDF1C45ubm6sXr2a7t27U1FRgUajUc7FxMTQu3dvAEJDQ4mMjKSwsBA3NzcAxowZw969e1mwYIEyp0uXLixcuBCAyMhIYmNjsbGxYdq0aQBERUWxbt06jh8/Tq9evTAyMiI6OlqZ7+rqyoEDB8jIyCAoKOihc3xQhoaGWFlZAWBnZ6e3i/WVV17RG7thwwZsbW05deoUnp6eyvHw8HB0Oh0Ac+bMITg4mMzMTL17mJycrIwPDQ0lKSmJefPmAfD1119z48aNBvNes2YNoaGhTJ48Gbh9L3fv3k1FRcVD521rawuAhYUFLVu2VI536dKFLl26KO+XLl3KV199xdatW5k1a5ZyfPjw4bz++utKPOvWraN79+6MHTsWgAULFuDr68u///1vvfXrqqmpITk5Ga1WC8CECRPIzMxk2bJl3Lx5k3fffZdvv/0WX19f4PZ3dv/+/XzyySf069ev3jVv3rzJzZs3lfdXr1594HsjhBBCCCGEEEI8abJDWAjxyC5cuEBVVRU9evRQjpmbm+Pu7q68z8vLIyAgACcnJ7RarVJUu3P3Z+fOnZWf7e3tMTExUYrBtcfqtpq4c46hoSHW1tZ06tRJbw6gN+/DDz/E29sbW1tbNBoN69evV2LJzs5Go9Eor9TU1Ebl+DidO3eO4OBg3NzcMDMzU9oq3O9+AXflXjfvkJAQzp8/z8GDB4Hb7RSCgoIwNTWtN46CggK9nIG73j8uFRUVhIeH4+HhgYWFBRqNhtOnTz9UzsBd35O6XFxclGIwgIODgzL+/PnzXL9+nSFDhuh9Dz777DO9th13eu+99zA3N1dejo6OD5C9EEIIIYQQQgjxdMgOYSHEE1dZWYlOp0On05GamoqtrS3FxcXodDp+/fVXvbFGRkbKzyqVSu997bE72ybUN+bOdQBlXnp6OuHh4cTHx+Pr64tWq2X58uX88MMPAPj4+Oj1/bW3t+fChQsPnLeBwe2/udVtXVBVVdWouQEBATg7O5OYmEirVq2oqanB09PzvvervmN175ednR0BAQEkJSXh6urKjh07yMrKeuDc7sXAwOCudg2NyTs8PJw9e/YQFxdHu3btUKvVjBkz5qFyBu76njS0Ru2c2vG1u5+3b99O69at9cY1b968wTUjIyOZO3eu8v7q1atSFBZCCCGEEEII8cyRgrAQ4pG5ublhZGREbm4uTk5OAJSXl3P27Fn69u3LmTNnKCsrIzY2VimQ1X3o19OWk5ODn58fM2fOVI7V3fmpVqtp166d3pz75Vif2tYIJSUleHl5AegVmgGMjY2B2w+6q1VWVkZBQQGJiYnKw97279//MKnWa+rUqQQHB9OmTRvatm2rtJeoj7u7O7m5uUycOFE5VtvztyG2traUlJQo769evcqPP/6oN8bIyEgvZ7j9uYSEhDBq1CjgdmG2qKiosWk9Nh07dqR58+YUFxc32B6iPs2bN79nwVgIIYQQQgghhHgWSEFYCPHItFotkyZNYt68eVhZWWFnZ8eiRYswMDBApVLh5OSEsbExa9asYfr06Zw8eZKlS5c2Wbzt27fns88+Y9euXbi6upKSkkJubi6urq4NzrlfjvVRq9X06tWL2NhYXF1dKS0tVXod13J2dkalUrFt2zaGDx+OWq3G0tISa2tr1q9fj4ODA8XFxURERDy2/HU6HWZmZsTExLBkyZJ7jp09ezbTpk3Dx8cHPz8/vvjiC44fP67XxuNOAwcOJDk5mYCAACwsLIiKisLQ0FBvjIuLi9LruHnz5lhaWtK+fXu+/PJLAgICUKlUvPPOO/fc5fukaLVawsPDefPNN6mpqeGll16ivLycnJwczMzMmDRp0lOPSQghHpei2BFNHYIQQgghhGhi0kNYCPFYrFixAl9fX/z9/Rk8eDC9e/fGw8ODFi1aYGtrS3JyMps2baJjx47ExsYSFxfXZLG+/vrrjB49mldffZWePXtSVlamt1u4IffKsSEbNmzg1q1beHt7ExYWRkxMjN751q1bEx0dTUREBPb29syaNQsDAwPS09PJy8vD09OTN998k+XLlz9y3rUMDAwICQmhurpab+dvfcaPH09kZCTh4eF069aNH3/8kZCQkHvmHBkZSb9+/fD392fEiBGMHDmStm3b6o2Jj49nz549ODo6KrunV6xYgaWlJX5+fgQEBKDT6ejWrdujJ/wQli5dyjvvvMN7772Hh4cHw4YNY/v27ff8o4EQQgghhBBCCPE8UP12Z6NHIYR4DCorK2ndujXx8fGEhoY2dThPxPOcY2hoKJcuXWLr1q0PPHfIkCG0bNmSlJSUJxDZ78fVq1cxNzenvLwcMzOzpg5HCCGEEEIIIcTvXGN/D5WWEUKIx+LIkSOcOXOGHj16UF5errQiCAwMbOLIHp/fQ47l5eWcOHGCtLS0RhWDr1+/zscff4xOp8PQ0JDPP/+cb7/9lj179jyFaIUQQgghhBBCCPG4SUFYCPHYxMXFUVBQgLGxMd7e3mRnZ2NjY9PUYT1Wz3uOgYGBHDp0iOnTpzNkyJD7jlepVHzzzTcsW7aMGzdu4O7uzubNmxk8ePBTiFYIIYQQQgghhBCPm7SMEEKIx8TFxYWwsDDCwsKaOpSHkpycTFhYGFeuXGn0nJCQEK5cucKWLVueWFzPK2kZIYQQQgghhBDiaWrs76HyUDkhhGgiWVlZqFSqByrA/h6oVKpnqoDcv3//57aIL4QQQgghhBBCPChpGSGEEEIIIcQfhEvE9qYOQdxHUeyIpg5BCCGEEL9zskNYCPHIrl27xvjx4zE1NcXBwYGVK1fq7bpMSUnBx8cHrVZLy5YtGTduHKWlpcr82p2yu3btwsvLC7VazcCBAyktLWXHjh14eHhgZmbGuHHjuH79ujKvf//+zJ49m7CwMCwtLbG3tycxMZHKykomT56MVqulXbt27NixQ5lTXV1NaGgorq6uqNVq3N3dSUhIeOQc71RUVIRKpeLo0aPKsStXrqBSqcjKyqKoqIgBAwYAYGlpiUqlIiQkBICdO3fy0ksvYWFhgbW1Nf7+/hQWFt61dkZGBn369EGtVtO9e3fOnj1Lbm4uPj4+aDQaXn75ZS5dugTAvn37MDIy4ueff9aLMywsjD59+jSYd0xMDHZ2dmi1WqZOnUpERARdu3ZtcLyLiwurVq3SO9a1a1cWL16snAcYNWoUKpVKeV9YWEhgYCD29vZoNBq6d+/Ot99+e9faMTExTJw4EY1Gg7OzM1u3buXSpUsEBgai0Wjo3Lkzhw8fVuaUlZURHBxM69atMTExoVOnTnz++efK+ZCQEL777jsSEhJQqVSoVCqKiooAOHnyJC+//DIajQZ7e3smTJjAf/7znwZzF0IIIYQQQgghngdSEBZCPLK5c+eSk5PD1q1b2bNnD9nZ2eTn5yvnq6qqWLp0KceOHWPLli0UFRUpxc+6Fi9ezNq1a/n++++5ePEiQUFBrFq1irS0NLZv387u3btZs2aN3pyNGzdiY2PDoUOHmD17NjNmzGDs2LH4+fmRn5/P0KFDmTBhglJIrqmpoU2bNmzatIlTp04RFRXF22+/TUZGxiPl+KAcHR3ZvHkzAAUFBZSUlCiF6crKSubOncvhw4fJzMzEwMCAUaNGUVNTo7fGokWLWLhwIfn5+TRr1oxx48Yxf/58EhISyM7O5vz580RFRQHQt29f3NzcSElJUeZXVVWRmprKlClT6o0xNTWVZcuW8f7775OXl4eTkxPr1q176JwBcnNzAUhKSqKkpER5X1FRwfDhw8nMzOTIkSMMGzaMgIAAiouL9eavXLmS3r17c+TIEUaMGMGECROYOHEif/rTn8jPz6dt27ZMnDiR2vb4N27cwNvbm+3bt3Py5En+/Oc/M2HCBA4dOgRAQkICvr6+TJs2jZKSEkpKSnB0dOTKlSsMHDgQLy8vDh8+zM6dO/n3v/9NUFBQg7ndvHmTq1ev6r2EEEIIIYQQQohnjbSMEEI8kmvXrrFx40bS0tIYNGgQcLvY16pVK2VM3YKjm5sbq1evpnv37lRUVKDRaJRzMTEx9O7dG4DQ0FAiIyMpLCzEzc0NgDFjxrB3714WLFigzOnSpQsLFy4EIDIyktjYWGxsbJg2bRoAUVFRrFu3juPHj9OrVy+MjIyIjo5W5ru6unLgwAEyMjIaLPY1JscHZWhoiJWVFQB2dnZYWFgo51555RW9sRs2bMDW1pZTp07h6empHA8PD0en0wEwZ84cgoODyczM1LuHycnJyvjQ0FCSkpKYN28eAF9//TU3btxoMO81a9YQGhrK5MmTgdv3cvfu3VRUVDx03ra2tgBYWFjQsmVL5XiXLl3o0qWL8n7p0qV89dVXbN26lVmzZinHhw8fzuuvv67Es27dOrp3787YsWMBWLBgAb6+vvz73/+mZcuWtG7dmvDwcGX+7Nmz2bVrFxkZGfTo0QNzc3OMjY0xMTHRi2ft2rV4eXnx7rvvKsc2bNiAo6MjZ8+epUOHDnfl9t577+l9t4QQQgghhBBCiGeR7BAWQjySCxcuUFVVRY8ePZRj5ubmuLu7K+/z8vIICAjAyckJrVZLv379AO7a/dm5c2flZ3t7e0xMTJRicO2xuq0m7pxjaGiItbU1nTp10psD6M378MMP8fb2xtbWFo1Gw/r165VYsrOz0Wg0yis1NbVROT5O586dIzg4GDc3N8zMzJS2Cve7X8BdudfNOyQkhPPnz3Pw4EEAkpOTCQoKwtTUtN44CgoK9HIG7nr/uFRUVBAeHo6HhwcWFhZoNBpOnz79UDnD//+8q6urWbp0KZ06dcLKygqNRsOuXbvuWvdOx44dY+/evXrfhRdeeAFAr31HXZGRkZSXlyuvixcvPuBdEEIIIYQQQgghnjzZISyEeKIqKyvR6XTodDpSU1OxtbWluLgYnU7Hr7/+qjfWyMhI+VmlUum9rz12Z9uE+sbcuQ6gzEtPTyc8PJz4+Hh8fX3RarUsX76cH374AQAfHx+9vr/29vZcuHDhgfM2MLj997ba1gVwu0VDYwQEBODs7ExiYiKtWrWipqYGT0/P+96v+o7VvV92dnYEBASQlJSEq6srO3bsICsr64FzuxcDAwO9nKFxeYeHh7Nnzx7i4uJo164darWaMWPGPFTO8P8/7+XLl5OQkMCqVavo1KkTpqamhIWF3bXunSoqKggICOD999+/65yDg0O9c5o3b07z5s3vm6sQQgghhBBCCNGUpCAshHgkbm5uGBkZkZubi5OTEwDl5eWcPXuWvn37cubMGcrKyoiNjcXR0RFA76FfT1tOTg5+fn7MnDlTOVZ3x6daraZdu3Z6c+6XY31qWyOUlJTg5eUFoFdoBjA2NgZu72KtVVZWRkFBAYmJicrD3vbv3/8wqdZr6tSpBAcH06ZNG9q2bau0l6iPu7s7ubm5TJw4UTlW2/O3Iba2tpSUlCjvr169yo8//qg3xsjISC9nuP25hISEMGrUKOB2Qbb24W6PIicnh8DAQP70pz8BtwvFZ8+epWPHjsoYY2Pju+Lp1q0bmzdvxsXFhWbN5H+VQgghhBBCCCF+P+S3XCHEI9FqtUyaNIl58+ZhZWWFnZ0dixYtwsDAAJVKhZOTE8bGxqxZs4bp06dz8uRJli5d2mTxtm/fns8++4xdu3bh6upKSkoKubm5uLq6NjjnfjnWR61W06tXL2JjY3F1daW0tFTpdVzL2dkZlUrFtm3bGD58OGq1GktLS6ytrVm/fj0ODg4UFxcTERHx2PLX6XSYmZkRExPDkiVL7jl29uzZTJs2DR8fH/z8/Pjiiy84fvy4XhuPOw0cOJDk5GQCAgKwsLAgKioKQ0NDvTEuLi5Kr+PmzZtjaWlJ+/bt+fLLLwkICEClUvHOO+/ctRv8YbRv356///3vfP/991haWrJixQr+/e9/6xWEXVxc+OGHHygqKkKj0WBlZcVf/vIXEhMTCQ4OZv78+VhZWXH+/HnS09P59NNP78pJCCGeF0WxI5o6BCGEEEII0cSkh7AQ4pGtWLECX19f/P39GTx4ML1798bDw4MWLVpga2tLcnIymzZtomPHjsTGxhIXF9dksb7++uuMHj2aV199lZ49e1JWVqa3W7gh98qxIRs2bODWrVt4e3sTFhZGTEyM3vnWrVsTHR1NREQE9vb2zJo1CwMDA9LT08nLy8PT05M333yT5cuXP3LetQwMDAgJCaG6ulpv5299xo8fT2RkJOHh4XTr1o0ff/yRkJCQe+YcGRlJv3798Pf3Z8SIEYwcOZK2bdvqjYmPj2fPnj04Ojoqu6dXrFiBpaUlfn5+BAQEoNPp6Nat2yPnu3DhQrp164ZOp6N///60bNmSkSNH6o0JDw/H0NCQjh07Ki1NWrVqRU5ODtXV1QwdOpROnToRFhaGhYWF0g5ECCGEEEIIIYR4Hql+u7PZoxBCPKLKykpat25NfHw8oaGhTR3OE/E85xgaGsqlS5fYunXrA88dMmQILVu2JCUl5QlE9vty9epVzM3NKS8vx8zMrKnDEUIIIYQQQgjxO9fY30OlZYQQ4pEdOXKEM2fO0KNHD8rLy5VWBIGBgU0c2ePze8ixvLycEydOkJaW1qhi8PXr1/n444/R6XQYGhry+eef8+2337Jnz56nEK0QQgghhBBCCCGeBCkICyEei7i4OAoKCjA2Nsbb25vs7GxsbGyaOqzH6nnPMTAwkEOHDjF9+nSGDBly3/EqlYpvvvmGZcuWcePGDdzd3dm8eTODBw9+CtEKIYQQQgghhBDiSZCWEUIIwe0Hi4WFhREWFtbUoTyU5ORkwsLCuHLlyiOto1Kp+Oqrr+7qs9uQrKwsBgwYwOXLl7GwsHikaz9qLPfSv39/unbtyqpVqx55rcaSlhFCCCGEEEIIIZ4maRkhhBBP0JMshIrH78svv8TIyKipwxBCCCGEEEIIIZqcFISFEEL87llZWTV1CEII8Uxwidje1CEI8ciKYkc0dQhCCCHEc82gqQMQQjSta9euMX78eExNTXFwcGDlypX0799faZ2QkpKCj48PWq2Wli1bMm7cOEpLS5X5WVlZqFQqdu3ahZeXF2q1moEDB1JaWsqOHTvw8PDAzMyMcePGcf36dWVe//79mT17NmFhYVhaWmJvb09iYiKVlZVMnjwZrVZLu3bt2LFjhzKnurqa0NBQXF1dUavVuLu7k5CQ8Mg53qmoqAiVSsXRo0eVY1euXEGlUpGVlUVRUREDBgwAwNLSEpVKRUhICAA7d+7kpZdewsLCAmtra/z9/SksLLxr7YyMDPr06YNaraZ79+6cPXuW3NxcfHx80Gg0vPzyy1y6dAmAffv2YWRkxM8//6wXZ1hYGH369Llv/rVyc3MZMmQINjY2mJub069fP/Lz8xscXxtreno6fn5+tGjRAk9PT7777ru7xubl5eHj44OJiQl+fn4UFBQo5woLCwkMDMTe3h6NRkP37t359ttvGx03wMCBA5k1a5besUuXLmFsbExmZiYAH330Ee3bt6dFixbY29szZswYZeydn7eLiwvvvvsuU6ZMQavV4uTkxPr16/XWv3jxIkFBQVhYWGBlZUVgYCBFRUUPFLcQQgghhBBCCPGskYKwEH9wc+fOJScnh61bt7Jnzx6ys7P1ioRVVVUsXbqUY8eOsWXLFoqKipTiZ12LFy9m7dq1fP/990ohbdWqVaSlpbF9+3Z2797NmjVr9OZs3LgRGxsbDh06xOzZs5kxYwZjx47Fz8+P/Px8hg4dyoQJE5RCck1NDW3atGHTpk2cOnWKqKgo3n77bTIyMh4pxwfl6OjI5s2bASgoKKCkpEQpTFdWVjJ37lwOHz5MZmYmBgYGjBo1ipqaGr01Fi1axMKFC8nPz6dZs2aMGzeO+fPnk5CQQHZ2NufPnycqKgqAvn374ubmRkpKijK/qqqK1NRUpkyZ0ui4r127xqRJk9i/fz8HDx6kffv2DB8+nGvXrt1z3rx583jrrbc4cuQIvr6+BAQEUFZWpjfmr3/9K/Hx8Rw+fJhmzZrpxVVRUcHw4cPJzMzkyJEjDBs2jICAAIqLixsd+9SpU0lLS+PmzZvKsf/+7/+mdevWDBw4kMOHD/PGG2+wZMkSCgoK2LlzJ3379r3nmvHx8fj4+HDkyBFmzpzJjBkzlEJ2VVUVOp0OrVZLdnY2OTk5aDQahg0bxq+//lrvejdv3uTq1at6LyGEEEIIIYQQ4lkjLSOE+AO7du0aGzduJC0tjUGDBgGQlJREq1atlDF1C3tubm6sXr2a7t27U1FRgUajUc7FxMTQu3dvAEJDQ4mMjKSwsBA3NzcAxowZw969e1mwYIEyp0uXLixcuBCAyMhIYmNjsbGxYdq0aQBERUWxbt06jh8/Tq9evTAyMiI6OlqZ7+rqyoEDB8jIyCAoKOihc3xQhoaGSgsCOzs7vR7Cr7zyit7YDRs2YGtry6lTp/D09FSOh4eHo9PpAJgzZw7BwcFkZmbq3cPk5GRlfGhoKElJScybNw+Ar7/+mhs3bjSYd30GDhyo9379+vVYWFjw3Xff4e/v3+C8WbNmKXmtW7eOnTt38re//Y358+crY5YtW0a/fv0AiIiIYMSIEdy4cYMWLVrQpUsXunTpooxdunQpX331FVu3br1r129DRo8ezaxZs/jHP/6h5JycnExISAgqlYri4mJMTU3x9/dHq9Xi7OyMl5fXPdccPnw4M2fOBGDBggWsXLmSvXv34u7uzhdffEFNTQ2ffvopKpUKuP29sbCwICsri6FDh9613nvvvaf3/RRCCCGEEEIIIZ5FskNYiD+wCxcuUFVVRY8ePZRj5ubmuLu7K+/z8vIICAjAyckJrVarFP3u3N3ZuXNn5Wd7e3tMTEyUYnDtsbqtJu6cY2hoiLW1NZ06ddKbA+jN+/DDD/H29sbW1haNRsP69euVWLKzs9FoNMorNTW1UTk+TufOnSM4OBg3NzfMzMxwcXEB7n+/gLtyr5t3SEgI58+f5+DBg8DtYmhQUBCmpqZ3xVBcXKx3H959910A/v3vfzNt2jTat2+Pubk5ZmZmVFRU3Henrq+vr/Jzs2bN8PHx4fTp0w3m4+DgAPz/z62iooLw8HA8PDywsLBAo9Fw+vRp5brvvvuuXrz1xdOiRQsmTJjAhg0bAMjPz+fkyZPKbvUhQ4bg7OyMm5sbEyZMIDU1Va9FSX3qxqxSqWjZsqUS87Fjxzh//jxarVaJy8rKihs3bui1AKkrMjKS8vJy5XXx4sV7Xl8IIYQQQgghhGgKskNYCNGgyspKdDodOp2O1NRUbG1tKS4uRqfT3fXP5o2MjJSfVSqV3vvaY3e2TahvzJ3rAMq89PR0wsPDiY+Px9fXF61Wy/Lly/nhhx8A8PHx0ev7a29vz4ULFx44bwOD238r++2335RjVVVVjZobEBCAs7MziYmJtGrVipqaGjw9Pe97v+o7Vvd+2dnZERAQQFJSEq6uruzYsYOsrKx6Y2jVqpXefajdzTxp0iTKyspISEjA2dmZ5s2b4+vr22ALhAdxr88tPDycPXv2EBcXR7t27VCr1YwZM0a57vTp0/V2Oje0e3vq1Kl07dqV//3f/yUpKYmBAwfi7OwMgFarJT8/n6ysLHbv3k1UVBSLFy8mNzdXbwd3QzHXxl0bc0VFBd7e3qSmpt41z9bWtt71mjdvTvPmzes9J4QQQgghhBBCPCukICzEH5ibmxtGRkbk5ubi5OQEQHl5OWfPnqVv376cOXOGsrIyYmNjcXR0BODw4cNNFm9OTg5+fn7KP/MH9HZrqtVq2rVrpzfnfjnWp7bgV1JSorQdqFtgBTA2NgZuP+iuVllZGQUFBSQmJioPe9u/f//DpFqvqVOnEhwcTJs2bWjbtq3SXuJOzZo1u+s+wO3799FHHzF8+HDg9kPT/vOf/9z3ugcPHlTu1a1bt8jLy2t0q4fa64aEhDBq1CjgdrG17sPZrKyslKL1vXTq1AkfHx8SExNJS0tj7dq1euebNWvG4MGDGTx4MIsWLcLCwoL/+Z//YfTo0Y2OtVa3bt344osvsLOzw8zM7IHnCyGEEEIIIYQQzyopCAvxB6bVapk0aRLz5s3DysoKOzs7Fi1ahIGBASqVCicnJ4yNjVmzZg3Tp0/n5MmTLF26tMnibd++PZ999hm7du3C1dWVlJQUcnNzcXV1bXDO/XKsj1qtplevXsTGxuLq6kppaanS67iWs7MzKpWKbdu2MXz4cNRqNZaWllhbW7N+/XocHBwoLi4mIiLiseWv0+kwMzMjJiaGJUuWPPD89u3bk5KSgo+PD1evXmXevHmo1er7zvvwww9p3749Hh4erFy5ksuXLz/Qw+zat2/Pl19+SUBAACqVinfeeeeu3eKNNXXqVGbNmoWpqalSYAbYtm0bFy5coG/fvlhaWvLNN99QU1Pz0K1Bxo8fz/LlywkMDGTJkiW0adOGn376iS+//JL58+fTpk2bh1pXCCGaWlHsiKYOQQghhBBCNDHpISzEH9yKFSvw9fXF39+fwYMH07t3bzw8PGjRogW2trYkJyezadMmOnbsSGxsLHFxcU0W6+uvv87o0aN59dVX6dmzJ2VlZXq7hRtyrxwbsmHDBm7duoW3tzdhYWHExMTonW/dujXR0dFERERgb2/PrFmzMDAwID09nby8PDw9PXnzzTdZvnz5I+ddy8DAgJCQEKqrq5k4ceIDz//b3/7G5cuX6datGxMmTOCNN97Azs7uvvNiY2OJjY2lS5cu7N+/n61bt2JjY9Po665YsQJLS0v8/PwICAhAp9PRrVu3B44fIDg4mGbNmhEcHKz3+VlYWPDll18ycOBAPDw8+Pjjj/n888958cUXH+o6JiYm7Nu3DycnJ0aPHo2HhwehoaHcuHFDdgwLIYQQQgghhHiuqX6r2yRTCPGHV1lZSevWrYmPjyc0NLSpw3kinuccQ0NDuXTpElu3bn3i1yoqKsLV1ZUjR47QtWvXJ369xigqKqJt27bk5uY+dFH5abl69Srm5uaUl5dLEVkIIYQQQgghxBPX2N9DpWWEEH9wR44c4cyZM/To0YPy8nKlFUFgYGATR/b4/B5yLC8v58SJE6SlpT2VYvCzpqqqirKyMhYuXEivXr2e+WKwEEIIIYQQQgjxrJKCsBCCuLg4CgoKMDY2xtvbm+zs7AdqCfA8eN5zDAwM5NChQ0yfPp0hQ4Y0dThPXU5ODgMGDKBDhw78/e9/b+pwhBBCCCGEEEKI55a0jBDid+pJ/XP/Z7GNQEOysrIYMGAAly9fxsLCokljUalUfPXVV4wcObJJ47ifkJAQrly5wpYtWxo9x8XFhbCwMMLCwp5YXI/iYXJ6HKRlhBBCCCGEEEKIp6mxv4fKQ+WEeA7FxsaiUqme2QKcaHrJyclNXgRvSFZWFiqViitXrjyV6yUkJJCcnPxUriWEEEIIIYQQQjzrpGWEEM+Z3NxcPvnkEzp37tzUodTrt99+o7q6mmbN5D8v4tlgbm7e1CEIIcQzwyVie1OH8IdXFDuiqUMQQgghxB+c7BAW4jlSUVHB+PHjSUxMxNLSslFzLly4wIABAzAxMaFLly4cOHAAgMrKSszMzO7qx7plyxZMTU25du0aAIcOHcLLy4sWLVrg4+PDkSNH9MbX7vbcsWMH3t7eNG/enP3793Pz5k3eeOMN7OzsaNGiBS+99BK5ubkA3LhxgxdffJE///nPyjqFhYVotVo2bNjQqNiKiopQqVSkp6fj5+dHixYt8PT05LvvvrvrHuTl5eHj44OJiQl+fn4UFBTonf/HP/5Bt27daNGiBW5ubkRHR3Pr1i3lvEql4tNPP2XUqFGYmJjQvn175cFuv/32G+3atSMuLk5vzaNHj6JSqTh//ny9n8uCBQvo0KEDJiYmuLm58c4771BVVaU35uuvv6Z79+60aNECGxsbRo0apZy7efMm4eHhtG7dGlNTU3r27ElWVpbymUyePJny8nJUKhUqlYrFixezZMkSPD0974qla9euvPPOO/XGee3aNcaPH4+pqSkODg6sXLmS/v37N7g7vfZzOXr0qHLsypUrqFQqsrKyKCoqYsCAAQBYWlqiUqkICQkBYOfOnbz00ktYWFhgbW2Nv78/hYWFd62dkZFBnz59UKvVdO/enbNnz5Kbm4uPjw8ajYaXX36ZS5cuKfNCQkL0WnX079+fN954g/nz52NlZUXLli1ZvHixXh5Xrlxh6tSp2NraYmZmxsCBAzl27Fi9OQshhBBCCCGEEM8TKQgL8Rz5y1/+wogRIxg8eHCj5/z1r38lPDyco0eP0qFDB4KDg7l16xampqa89tprJCUl6Y1PSkpizJgxaLVaKioq8Pf3p2PHjuTl5bF48WLCw8PrvU5ERASxsbGcPn2azp07M3/+fDZv3szGjRvJz8+nXbt26HQ6fvnlF1q0aEFqaiobN27kH//4B9XV1fzpT39iyJAhTJkypVGx1Zo3bx5vvfUWR44cwdfXl4CAAMrKyu66B/Hx8Rw+fJhmzZoxZcoU5Vx2djYTJ05kzpw5nDp1ik8++YTk5GSWLVumt0Z0dDRBQUEcP36c4cOHM378eH755RdUKhVTpkypN9a+ffvSrl27eu+XVqslOTmZU6dOkZCQQGJiIitXrlTOb9++nVGjRjF8+HCOHDlCZmYmPXr0UM7PmjWLAwcOkJ6ezvHjxxk7dizDhg3j3Llz+Pn5sWrVKszMzCgpKaGkpITw8HCmTJnC6dOnlcI8wJEjRzh+/DiTJ0+uN865c+eSk5PD1q1b2bNnD9nZ2eTn59c7tjEcHR3ZvHkzAAUFBZSUlJCQkADc/iPF3LlzOXz4MJmZmRgYGDBq1Chqamr01li0aBELFy4kPz+fZs2aMW7cOObPn09CQgLZ2dmcP3+eqKioe8axceNGTE1N+eGHH/jggw9YsmQJe/bsUc6PHTuW0tJSduzYQV5eHt26dWPQoEH88ssvDa558+ZNrl69qvcSQgghhBBCCCGeNVIQFuI5kZ6eTn5+Pu+9994DzQsPD2fEiBF06NCB6OhofvrpJ2XX6tSpU9m1axclJSUAlJaW8s033ygF07S0NGpqavjb3/7Giy++iL+/P/Pmzav3OkuWLGHIkCG0bduW5s2bs27dOpYvX87LL79Mx44dSUxMRK1W87e//Q24vSs1JiaGqVOnEhYWxk8//URiYqKy3v1iqzVr1ixeeeUVPDw8WLduHebm5so1ai1btox+/frRsWNHIiIi+P7777lx4wZwu9AbERHBpEmTcHNzY8iQISxdupRPPvlEb42QkBCCg4Np164d7777LhUVFRw6dEg5V1BQoLyvqqoiLS3trljrWrhwIX5+fri4uBAQEEB4eDgZGRl6Mb/22mtER0fj4eFBly5diIyMBKC4uJikpCQ2bdpEnz59aNu2LeHh4bz00kskJSVhbGyMubk5KpWKli1b0rJlSzQaDW3atEGn0+kVr5OSkujXrx9ubm53xXjt2jU2btxIXFwcgwYNwtPTk6SkJKqrqxvM634MDQ2xsrICwM7OjpYtWyotHV555RVGjx5Nu3bt6Nq1Kxs2bODEiROcOnVKb43w8HB0Oh0eHh7MmTOHvLw83nnnHXr37o2XlxehoaHs3bv3nnF07tyZRYsW0b59eyZOnIiPjw+ZmZkA7N+/n0OHDrFp0yZ8fHxo3749cXFxWFhY3LVrva733nsPc3Nz5eXo6PjQ90kIIYQQQgghhHhSpCAsxHPg4sWLzJkzh9TUVFq0aHHX+enTp6PRaJRXXXV7DTs4OAC3i6sAPXr04MUXX2Tjxo0A/Pd//zfOzs707dsXQNntW/eavr6+9cbo4+Oj/FxYWEhVVRW9e/dWjhkZGdGjRw9Onz6tHHvrrbfo0KEDa9euZcOGDVhbWyvn7hdbffE0a9YMHx8fvWvc7x4cO3aMJUuW6N2/adOmUVJSwvXr1+tdw9TUFDMzM2WNVq1aMWLECDZs2ADcbvVw8+ZNxo4dW++9Avjiiy/o3bu3UqxduHAhxcXFyvmjR48yaNCgeueeOHGC6upqOnTooBf3d999p9dioT7Tpk3j888/58aNG/z666/3LFxfuHCBqqoqvZ3J5ubmuLu73/MaD+vcuXMEBwfj5uaGmZkZLi4uAHr3BfQ/C3t7ewA6deqkd6z2s2nInT24HRwc9L4TFRUVWFtb693fH3/88Z73NzIykvLycuV18eLF+ycthBBCCCGEEEI8ZfLUJyGeA3l5eZSWltKtWzflWHV1Nfv27WPt2rX83//9X4OtHIyMjJSfVSoVgN4/wZ86dSoffvghERERJCUlMXnyZGXcgzA1NX3gOaWlpZw9exZDQ0POnTvHsGHD9M4/rtjudQ8qKiqIjo5m9OjRd82rWwivu0btOnfexwkTJrBy5UqSkpJ49dVXMTExqTeeAwcOMH78eKKjo9HpdJibm5Oenk58fLwyRq1WN5hPRUUFhoaG5OXlYWhoqHfuzj8I3CkgIIDmzZvz1VdfYWxsTFVVFWPGjLnnnAdhYHD774y//fabcuzO3sj3is3Z2ZnExERatWpFTU0Nnp6e/Prrr3rj6vs87zx2Z5uJO93r86yoqMDBwUHpyVyXhYVFg2s2b96c5s2b3/O6QgghhBBCCCFEU5OCsBDPgUGDBnHixAm9Y5MnT+aFF15gwYIF2NvbKzslH9Sf/vQn5s+fz+rVqzl16hSTJk1Sznl4eJCSksKNGzeU4ujBgwfvu2bbtm0xNjYmJycHZ2dn4HZRMDc3V+9hZFOmTKFTp06EhoYybdo0Bg8ejIeHR6Niq3Xw4EFl1/CtW7fIy8tj1qxZjc6/W7duFBQUNNjrt7GGDx+Oqakp69atY+fOnezbt6/Bsd9//z3Ozs789a9/VY799NNPemM6d+5MZmZmvb19vby8qK6uprS0lD59+tR7DWNj43pbOzRr1oxJkyYprSVee+21BovPbm5uGBkZkZubi5OTEwDl5eWcPXv2rp3atWxtbQEoKSnBy8sLQO8Bc7WxAXrxlZWVUVBQQGJiopLT/v37673Gk9atWzd+/vlnmjVrpuxSFkIIIYQQQgghfi+kICzEc0Cr1eLp6al3zNTUFGtr67uOPyhLS0tGjx7NvHnzGDp0KG3atFHOjRs3jr/+9a9MmzaNyMhIioqKiIuLu++apqamzJgxg3nz5mFlZYWTkxMffPAB169fJzQ0FIAPP/yQAwcOcPz4cRwdHdm+fTvjx4/n4MGDSsHwXrHV+vDDD2nfvj0eHh6sXLmSy5cv37N3752ioqLw9/fHycmJMWPGYGBgwLFjxzh58iQxMTGNXsfQ0JCQkBAiIyNp3759g601ANq3b09xcTHp6el0796d7du389VXX+mNWbRoEYMGDaJt27a89tpr3Lp1i2+++YYFCxbQoUMHxo8fz8SJE4mPj8fLy4tLly6RmZlJ586dGTFiBC4uLlRUVJCZmUmXLl0wMTFRdixPnTpVKbzn5OQ0GKdWq2XSpEnK52hnZ8eiRYswMDBocKe2Wq2mV69exMbG4urqSmlpKQsXLtQb4+zsjEqlYtu2bQwfPhy1Wo2lpSXW1tasX78eBwcHiouLiYiIaNS9f9wGDx6Mr68vI0eO5IMPPqBDhw7861//Uh70V7c9ihBCPG+KYkc0dQhCCCGEEKKJSQ9hIQShoaH8+uuvdxVSNRoNX3/9NSdOnMDLy4u//vWvvP/++41aMzY2lldeeYUJEybQrVs3zp8/z65du7C0tOTMmTPMmzePjz76SHnw1kcffcR//vMf3nnnnUbFVvc6sbGxdOnShf3797N161ZsbGwanbtOp2Pbtm3s3r2b7t2706tXL1auXKnsbH4QtbHWt6u3rv/6r//izTffZNasWXTt2pXvv//+rrz79+/Ppk2b2Lp1K127dmXgwIHKQ+vg9sPgJk6cyFtvvYW7uzsjR47U28nr5+fH9OnTefXVV7G1teWDDz5Q5rZv3x4/Pz9eeOEFevbsec9YV6xYga+vL/7+/gwePJjevXvj4eFRby/rWhs2bODWrVt4e3sTFhZ2V2G9devWysP87O3tmTVrFgYGBqSnp5OXl4enpydvvvkmy5cvv2dsT4pKpeKbb76hb9++TJ48mQ4dOvDaa6/x008/PfROfCGEEEIIIYQQ4lmh+q1uo0chxB9SSkoKb775Jv/617+U3bnPioZiKyoqwtXVlSNHjtC1a9emC7CO7OxsBg0axMWLF5/pwuFvv/1G+/btmTlzJnPnzn2guZWVlbRu3Zr4+Hhlt7eo39WrVzE3N6e8vBwzM7OmDkcIIYQQQgghxO9cY38PlZYRQvyBXb9+nZKSEmJjY3n99defqWLwsxzbnW7evMmlS5dYvHgxY8eOfaaLwZcuXSI9PZ2ff/75vjuZAY4cOcKZM2fo0aMH5eXlLFmyBIDAwMAnHaoQQgghhBBCCCGeAGkZIcQf2AcffMALL7xAy5YtiYyMbOpw9DzLsd3p888/x9nZmStXrui1ZngW2dnZsWTJEtavX4+lpWWj5sTFxdGlSxcGDx5MZWUl2dnZD9SWQwghhBBCCCGEEM8OaRkhhPjDc3FxISwsjLCwsCaNIyQkhCtXrrBly5YmjeN+srKyGDBgAJcvX8bCwqJJY2nMZ7d48WK2bNnC0aNHn1pcIC0jhBBCCCGEEEI8XY39PVR2CAshxB+YSqV65gvQ95Kbm8uf//xn5X19+YSHh5OZmfmUIxNCCCGEEEIIIZ5N0kNYCCHEM6eqqgojI6P7jrO1tb3vGI1Gg0ajeRxhCSHEc88lYvsTXb8odsQTXV8IIYQQQjw62SEshPjd69+/P7NmzWLWrFmYm5tjY2PDO++8Q92OOdevX2fKlClotVqcnJxYv3693hoXL14kKCgICwsLrKysCAwMpKioSDkfEhLCyJEjiYuLw8HBAWtra/7yl79QVVUFwJIlS/D09Lwrtq5du/LOO+/UG/fOnTt56aWXsLCwwNraGn9/fwoLC/XG/O///i/BwcFYWVlhamqKj48PP/zwg3L+H//4B926daNFixa4ubkRHR3NrVu3gNvtFgBGjRqFSqXCxcWFoqIiDAwMOHz4sN51Vq1ahbOzMzU1NfXGmpOTQ//+/TExMcHS0hKdTsfly5cblUdRUREqlYovvviCfv360aJFC1JTU+97T2tzWLVqVYP5wO2WEV27dlXmNGbdmzdvEh4eTuvWrTE1NaVnz55kZWXVm7sQQgghhBBCCPE8kYKwEOIPYePGjTRr1oxDhw6RkJDAihUr+PTTT5Xz8fHx+Pj4cOTIEWbOnMmMGTMoKCgAbu9W1el0aLVasrOzycnJQaPRMGzYMH799Vdljb1791JYWMjevXvZuHEjycnJJCcnAzBlyhROnz5Nbm6uMv7IkSMcP36cyZMn1xtzZWUlc+fO5fDhw2RmZmJgYMCoUaOUomxFRQX9+vXj//7v/9i6dSvHjh1j/vz5yvns7GwmTpzInDlzOHXqFJ988gnJycksW7YMQIklKSmJkpIScnNzcXFxYfDgwSQlJenFkpSUREhICAYGd/9v4+jRowwaNIiOHTty4MAB9u/fT0BAANXV1Y3Ko1ZERARz5szh9OnT6HS6+97TO9WXT0Put+6sWbM4cOAA6enpHD9+nLFjxzJs2DDOnTvX4Jo3b97k6tWrei8hhBBCCCGEEOJZIy0jhBB/CI6OjqxcuRKVSoW7uzsnTpzg/7F359E5Xvv//593RpEZmRCSSETMQ6hQszaK1FBDcRBCi2qlajwtEmNaUlPLKSpRJ6qcauu0By0VJVrz1FbNafTTtFElESoiye8PP9fXLYMYg74ea11r5drX3vt67307pytv2/uePXs2gwcPBqB9+/YMGzYMgLFjxzJ79mw2b95MYGAgH330Ebm5uSxZsgSTyQRcSzq6uLiQmJjI008/DYCrqyvvvPMOlpaWVKtWjQ4dOrBp0yYGDx5MxYoVCQ0NJS4ujoYNGxpztGjRAj8/vwJjfu6558zuly5dipubGz/++CM1a9ZkxYoVnDlzhl27dlGmTBkA/P39jf7R0dGMGzeO/v37A+Dn58eUKVMYM2YMkyZNMsotuLi44OnpaYwbNGgQQ4YM4e2338bW1pa9e/dy6NAhPvvsswLjfOuttwgODmbBggVGW40aNYq9jusiIyPp2rWrWd+i9vRmha2nIEXNm5KSQlxcHCkpKZQvXx64Vod4/fr1xMXFMX369ALnnDFjBtHR0UW+V0RERERERKSk6YSwiPwtNG7c2EjmAoSEhHDs2DHjFGvt2rWNZyaTCU9PT9LS0gA4cOAAx48fx9HR0ahHW6ZMGS5fvmxW+qBGjRpYWloa915eXsYcAIMHD+bDDz/k8uXLXLlyhRUrVjBw4MBCYz527Bi9evXCz88PJycnowRCSkoKcO1kbr169Yxk8M0OHDjA5MmTjZgdHBwYPHgwqampXLp0qdD3du7cGUtLSz755BMA4uPjadWqlfH+m10/IXyn67guODg439hb7emdKmreQ4cOkZOTQ9WqVc32bsuWLflKdtxo/PjxpKenG9fp06fvOk4RERERERGRe00nhEVEIN8XmJlMJrPSDA0aNCAhISHfuBu/1KyoOQDCwsKwtbXlk08+wcbGhuzsbLp161ZoTGFhYVSuXJnFixdTvnx5cnNzqVmzplGmws7Orsg1ZWZmEh0dne/ULUCpUqUKHWdjY0O/fv2Ii4uja9eurFixgrlz5xba/1Zx3God19nb2+cbe6s9vVO3+rwtLS3Zs2ePWdIYKPLL6WxtbbG1tb3r2ERERERERETuJyWEReRv4cYvWgP47rvvCAgIyJfwK0j9+vX56KOPcHd3x8nJ6Y5jsLKyon///sTFxWFjY8Pzzz9faDL17NmzHDlyhMWLF9OsWTMAtm3bZtandu3aLFmyhD///LPAU8L169fnyJEjZmUkbmZtbW2ckr7RoEGDqFmzJgsWLODq1asFJpVvjGPTpk0FlksozjrupcLWczvq1atHTk4OaWlpRswiIo+L5JgOJR2CiIiIiJQwlYwQkb+FlJQURo4cyZEjR/jwww+ZP38+I0aMKNbYPn36UK5cOTp16sTWrVs5deoUiYmJvPLKK/zyyy+3FcegQYP4+uuvWb9+fZHlIlxdXSlbtiyLFi3i+PHjfP3114wcOdKsT69evfD09KRz584kJSVx8uRJPv74Y7799lsAJk6cyAcffEB0dDQ//PADhw8fZuXKlbzxxhvGHD4+PmzatInffvuNc+fOGe1BQUE0btyYsWPH0qtXryJPAY8fP55du3YxbNgwDh48yE8//cTChQv5448/irWOe6mw9dyOqlWr0qdPH/r168eaNWs4deoUO3fuZMaMGXzxxRf3OGIRERERERGRB0sJYRH5W+jXrx9//fUXjRo14qWXXmLEiBG88MILxRpbunRpvvnmGypVqkTXrl0JCgoiIiKCy5cv3/aJ4YCAAJo0aUK1atV44oknCu1nYWHBypUr2bNnDzVr1uTVV19l5syZZn1sbGz48ssvcXd3p3379tSqVYuYmBjj1HNoaCiff/45X375JQ0bNqRx48bMnj2bypUrG3PExsby1Vdf4e3tTb169czmj4iI4MqVK0UmruFaAvXLL7/kwIEDNGrUiJCQED777DOsrKyKtY57qaj13I64uDj69evHa6+9RmBgIJ07d2bXrl1UqlTpHkYrIiIiIiIi8uCZ8vLy8ko6CBGR+6lly5bUrVuXOXPmlHQo5OXlERAQwLBhw+7rSdl7YcqUKaxevZqDBw+WdCiPpIyMDJydnUlPT7+rUiMiIiIiIiIixVHc30NVQ1hE5AE5c+YMK1eu5LfffmPAgAElHU6hMjMzSU5O5p133mHq1KklHY6IiIiIiIiI3EMqGSEi8oC4u7szefJkFi1ahKur6z2Z08fH556ffB4+fDgNGjSgZcuWtywXcbfi4+NxcXG5p3OGh4fTuXNn475ly5ZERkbe03eIiIiIiIiIPKp0QlhEHnuJiYklHQJwrVxESUtMTKRVq1acO3eu0ERsfHw88fHxDzSu+2nNmjVYW1uXdBgiIiIiIiIiDwUlhEVE5LFWpkyZkg5BROSh4TPui5IOQf5/yTEdSjoEERER+ZtSyQgReSRduHCBPn36YG9vj5eXF7NnzzYrDbB8+XKCg4NxdHTE09OT3r17k5aWZoxPTEzEZDKxYcMG6tWrh52dHa1btyYtLY1169YRFBSEk5MTvXv35tKlS8a4li1b8vLLLxMZGYmrqyseHh4sXryYixcvMmDAABwdHfH392fdunXGmJycHCIiIvD19cXOzo7AwEDmzp1712u8WXJyMiaTif379xtt58+fx2QykZiYSHJyMq1atQLA1dUVk8lEeHg4AOvXr+fJJ5/ExcWFsmXL0rFjR06cOJFv7lWrVtGsWTPs7Oxo2LAhR48eZdeuXQQHB+Pg4MAzzzzDmTNnAPjmm2+wtrbmt99+M4szMjKSZs2a5Yv/6NGjmEwmfvrpJ7P22bNnU6VKlTvey5v3zMfHh+nTpzNw4EAcHR2pVKkSixYtMhtz+vRpevTogYuLC2XKlKFTp04kJycX+R4RERERERGRR4ESwiLySBo5ciRJSUmsXbuWr776iq1bt7J3717jeXZ2NlOmTOHAgQN8+umnJCcnG8nPG0VFRfHOO++wfft2Iwk4Z84cVqxYwRdffMGXX37J/PnzzcYsW7aMcuXKsXPnTl5++WWGDh1K9+7dadKkCXv37uXpp5+mb9++RiI5NzeXihUrsnr1an788UcmTpzIP//5T1atWnVXa7xd3t7efPzxxwAcOXKE1NRUI5l68eJFRo4cye7du9m0aRMWFhZ06dKF3NxcszkmTZrEG2+8wd69e7GysqJ3796MGTOGuXPnsnXrVo4fP87EiRMBaN68OX5+fixfvtwYn52dTUJCQoG1iatWrUpwcDAJCQlm7QkJCfTu3Ru48728WWxsLMHBwezbt49hw4YxdOhQjhw5YsQYGhqKo6MjW7duJSkpCQcHB9q1a8eVK1du6z0iIiIiIiIiDxuVjBCRR86FCxdYtmwZK1asoE2bNgDExcVRvnx5o8+NCUc/Pz/mzZtHw4YNyczMxMHBwXg2depUmjZtCkBERATjx4/nxIkT+Pn5AdCtWzc2b97M2LFjjTF16tThjTfeAGD8+PHExMRQrlw5Bg8eDMDEiRNZuHAhBw8epHHjxlhbWxMdHW2M9/X15dtvv2XVqlX06NHjjtd4uywtLY3yCe7u7mY1hJ977jmzvkuXLsXNzY0ff/yRmjVrGu2jRo0iNDQUgBEjRtCrVy82bdpktoc31h+OiIggLi6O0aNHA/Df//6Xy5cvF7ruPn368M477zBlyhTg2qnhPXv28O9//xvgjvayIO3bt2fYsGEAjB07ltmzZ7N582YCAwP56KOPyM3NZcmSJZhMJuDa3ru4uJCYmMjTTz9d4JxZWVlkZWUZ9xkZGcWOR0RERERERORB0QlhEXnknDx5kuzsbBo1amS0OTs7ExgYaNzv2bOHsLAwKlWqhKOjIy1atAAgJSXFbK7atWsbP3t4eFC6dGkjGXy97cZSEzePsbS0pGzZstSqVctsDGA27t1336VBgwa4ubnh4ODAokWLjFi2bt2Kg4ODcSUkJBRrjffSsWPH6NWrF35+fjg5OeHj4wPcer+AfGu/cd3h4eEcP36c7777Drj2hXU9evTA3t6+wDief/55kpOTjf4JCQnUr1+fatWqGX2K2sviunEdJpMJT09PI+4DBw5w/PhxHB0djc+kTJkyXL582ayMxs1mzJiBs7OzcXl7e99WTCIiIiIiIiIPgk4Ii8hj5+LFi4SGhhIaGkpCQgJubm6kpKQQGhqa75/8W1tbGz+bTCaz++ttN5dNKKjPzfMAxriVK1cyatQoYmNjCQkJwdHRkZkzZ7Jjxw4AgoODzer+enh4cPLkydtet4XFtb/jy8vLM9qys7OLNTYsLIzKlSuzePFiypcvT25uLjVr1rzlfhXUduN+ubu7ExYWRlxcHL6+vqxbt47ExMRC4/D09KR169asWLGCxo0bs2LFCoYOHWo8v9VeFldRn3NmZiYNGjTIV7oCwM3NrdA5x48fz8iRI437jIwMJYVFRERERETkoaOEsIg8cvz8/LC2tmbXrl1UqlQJgPT0dI4ePUrz5s356aefOHv2LDExMUZCbvfu3SUWb1JSEk2aNDFKFABmJ03t7Ozw9/c3G3OrNRbkerIyNTWVevXqAZglmgFsbGyAa1/Odt3Zs2c5cuQIixcvNr7sbdu2bXey1AINGjSIXr16UbFiRapUqWKUlyhMnz59GDNmDL169eLkyZM8//zzxrNb7eW9UL9+fT766CPc3d1xcnIq9jhbW1tsbW3vaSwiIiIiIiIi95oSwiLyyHF0dKR///6MHj2aMmXK4O7uzqRJk7CwsMBkMlGpUiVsbGyYP38+Q4YM4fvvvzdq0paEgIAAPvjgAzZs2ICvry/Lly9n165d+Pr6FjrmVmssiJ2dHY0bNyYmJgZfX1/S0tKMWsfXVa5cGZPJxOeff0779u2xs7PD1dWVsmXLsmjRIry8vEhJSWHcuHH3bP2hoaE4OTkxdepUJk+efMv+Xbt2ZejQoQwdOpRWrVqZ1U2+k728XX369GHmzJl06tSJyZMnU7FiRX7++WfWrFnDmDFjqFix4j17l4jIg5Yc06GkQxARERGREqYawiLySHr77bcJCQmhY8eOtG3blqZNmxIUFESpUqVwc3MjPj6e1atXU716dWJiYpg1a1aJxfriiy/StWtXevbsyRNPPMHZs2fNTrgWpqg1Fmbp0qVcvXqVBg0aEBkZydSpU82eV6hQgejoaMaNG4eHhwfDhw/HwsKClStXsmfPHmrWrMmrr77KzJkz73rd11lYWBAeHk5OTg79+vW7ZX9HR0fCwsI4cOAAffr0MXt2p3t5O0qXLs0333xDpUqV6Nq1K0FBQURERHD58uXbOjEsIiIiIiIi8jAy5d1YbFJE5BF18eJFKlSoQGxsLBERESUdzn3xKK8xIiKCM2fOsHbt2pIO5YHJyMjA2dmZ9PR0JZJFRERERETkvivu76EqGSEij6R9+/bx008/0ahRI9LT041SBJ06dSrhyO6dx2GN6enpHDp0iBUrVvytksEiIiIiIiIiDyslhEXkkTVr1iyOHDmCjY0NDRo0YOvWrZQrV66kw7qnHvU1durUiZ07dzJkyBCeeuqpkg5HRERERERE5G9PJSNERG6Tj48PkZGRREZGlnQodyQ+Pp7IyEjOnz9f0qHcc4mJibRq1Ypz587h4uJSorGoZISIiIiIiIg8SMX9PVRfKicicp8lJiZiMpke2gRsVFQUdevWfWDvS05OxmQysX///gf2ThERERERERG5RiUjRESkWLKzs7G2ti7pMERE5C74jPuipEMQySc5pkNJhyAiIvK3ohPCIlJsFy5coE+fPtjb2+Pl5cXs2bNp2bKlUTph+fLlBAcH4+joiKenJ7179yYtLc0Yf/2k7IYNG6hXrx52dna0bt2atLQ01q1bR1BQEE5OTvTu3ZtLly4Z41q2bMnLL79MZGQkrq6ueHh4sHjxYi5evMiAAQNwdHTE39+fdevWGWNycnKIiIjA19cXOzs7AgMDmTt37l2v8WYFnXY9f/48JpOJxMREkpOTadWqFQCurq6YTCbCw8MBWL9+PU8++SQuLi6ULVuWjh07cuLEiXxzr1q1imbNmmFnZ0fDhg05evQou3btIjg4GAcHB5555hnOnDkDwDfffIO1tTW//fabWZyRkZE0a9YsX/zx8fFER0dz4MABTCYTJpOJ+Ph4AEwmEwsXLuTZZ5/F3t6eqVOn4u/vz6xZs8zm2L9/PyaTiePHj5uNe+aZZ7Czs8PPz4///Oc/Rn9fX18A6tWrh8lkomXLlgDk5uYyefJkKlasiK2tLXXr1mX9+vX59mPlypU0adKEUqVKUbNmTbZs2ZJvXXv27CE4OJjSpUvTpEkTjhw5Yjw7ceIEnTp1wsPDAwcHBxo2bMjGjRvNxvv4+DB9+nQGDhyIo6MjlSpVYtGiRfneIyIiIiIiIvKoUUJYRIpt5MiRJCUlsXbtWr766iu2bt3K3r17jefZ2dlMmTKFAwcO8Omnn5KcnGwkP28UFRXFO++8w/bt2zl9+jQ9evRgzpw5rFixgi+++IIvv/yS+fPnm41ZtmwZ5cqVY+fOnbz88ssMHTqU7t2706RJE/bu3cvTTz9N3759jURybm4uFStWZPXq1fz4449MnDiRf/7zn6xatequ1ni7vL29+fjjjwE4cuQIqampRmL64sWLjBw5kt27d7Np0yYsLCzo0qULubm5ZnNMmjSJN954g71792JlZUXv3r0ZM2YMc+fOZevWrRw/fpyJEycC0Lx5c/z8/Fi+fLkxPjs7m4SEBAYOHJgvvp49e/Laa69Ro0YNUlNTSU1NpWfPnsbzqKgounTpwqFDh4iIiGDgwIHExcWZzREXF0fz5s3x9/c32iZMmMBzzz3HgQMH6NOnD88//zyHDx8GYOfOnQBs3LiR1NRU1qxZA8DcuXOJjY1l1qxZHDx4kNDQUJ599lmOHTtm9r7Ro0fz2muvsW/fPkJCQggLC+Ps2bNmfV5//XViY2PZvXs3VlZWZmvPzMykffv2bNq0iX379tGuXTvCwsJISUkxmyM2Npbg4GD27dvHsGHDGDp0qFliWURERERERORRpISwiBTLhQsXWLZsGbNmzaJNmzbUrFmTuLg4cnJyjD4DBw7kmWeewc/Pj8aNGzNv3jzWrVtHZmam2VxTp06ladOm1KtXj4iICLZs2cLChQupV68ezZo1o1u3bmzevNlsTJ06dXjjjTcICAhg/PjxlCpVinLlyjF48GACAgKYOHEiZ8+e5eDBgwBYW1sTHR1NcHAwvr6+9OnThwEDBhSZEC7OGm+XpaUlZcqUAcDd3R1PT0+cnZ0BeO655+jatSv+/v7UrVuXpUuXcujQIX788UezOUaNGkVoaChBQUGMGDGCPXv2MGHCBLM9vHG/IiIizJK2//3vf7l8+TI9evTIF5+dnR0ODg5YWVnh6emJp6cndnZ2xvPevXszYMAA/Pz8qFSpEuHh4Rw5csRI6mZnZ7NixYp8yebu3bszaNAgqlatypQpUwgODjaS/G5ubgCULVsWT09PY39mzZrF2LFjef755wkMDOTNN9+kbt26zJkzx2zu4cOH89xzzxEUFMTChQtxdnbm/fffN+szbdo0WrRoQfXq1Rk3bhzbt2/n8uXLwLU/Sy+++CI1a9YkICCAKVOmUKVKFdauXWs2R/v27Rk2bBj+/v6MHTuWcuXK5ftzeaOsrCwyMjLMLhEREREREZGHjRLCIlIsJ0+eJDs7m0aNGhltzs7OBAYGGvd79uwhLCyMSpUq4ejoSIsWLQDynbysXbu28bOHhwelS5fGz8/PrO3GUhM3j7G0tKRs2bLUqlXLbAxgNu7dd9+lQYMGuLm54eDgwKJFi4xYtm7dioODg3ElJCQUa4330rFjx+jVqxd+fn44OTnh4+MD3Hq/gHxrv3Hd4eHhHD9+nO+++w64VhaiR48e2Nvb33aMwcHBZvfly5enQ4cOLF26FLiWbM7KyqJ79+5m/UJCQvLdXz8hXJCMjAx+/fVXmjZtatbetGnTfONunNvKyorg4OB8fW7cMy8vL+D//dnIzMxk1KhRBAUF4eLigoODA4cPHy5y300mE56envn+XN5oxowZODs7G5e3t3ehfUVERERERERKihLCInJPXLx4kdDQUJycnEhISGDXrl188sknAFy5csWs741fTGYymfJ9UZnJZMpXNqGgPjfPAxjjVq5cyahRo4iIiODLL79k//79DBgwwIglODiY/fv3G9ezzz57R+u2sLj2f6N5eXlGW3Z2drHGhoWF8eeff7J48WJ27NjBjh07gFvvV0FtN+6Xu7s7YWFhxMXF8fvvv7Nu3boCy0UUR0FJ5EGDBrFy5Ur++usv4uLi6NmzJ6VLl76j+e+Xov5sjBo1ik8++YTp06ezdetW9u/fT61atYrc9+vz3Pzn8kbjx48nPT3duE6fPn2vliMiIiIiIiJyzyghLCLF4ufnh7W1Nbt27TLa0tPTOXr0KAA//fQTZ8+eJSYmhmbNmlGtWrUiT1Peb0lJSTRp0oRhw4ZRr149/P39zb6wzc7ODn9/f+NydHS85RoLcr38QWpqqtF24xfMAdjY2ACYlZ44e/YsR44c4Y033qBNmzYEBQVx7ty5u1rzjQYNGsRHH33EokWLqFKlSr6TtzfHdztlMdq3b4+9vT0LFy5k/fr1BSabr59OvvE+KCjIeB+Y74eTkxPly5cnKSnJbFxSUhLVq1cvdO6rV6+yZ88eY+7iSEpKIjw8nC5dulCrVi08PT1JTk4u9vjC2Nra4uTkZHaJiIiIiIiIPGysSjoAEXk0ODo60r9/f0aPHk2ZMmVwd3dn0qRJWFhYYDKZqFSpEjY2NsyfP58hQ4bw/fffM2XKlBKLNyAggA8++IANGzbg6+vL8uXL2bVrF76+voWOudUaC2JnZ0fjxo2JiYnB19eXtLQ03njjDbM+lStXxmQy8fnnn9O+fXvs7OxwdXWlbNmyLFq0CC8vL1JSUhg3btw9W//109pTp05l8uTJRfb18fHh1KlT7N+/n4oVK+Lo6IitrW2h/S0tLQkPD2f8+PEEBATkKw8BsHr1aoKDg3nyySdJSEhg586dRp1fd3d37OzsWL9+PRUrVqRUqVI4OzszevRoJk2aRJUqVahbty5xcXHs37+fhIQEs7nfffddAgICCAoKYvbs2Zw7d+62TkAHBASwZs0awsLCMJlMTJgwociTvyIij5PkmA4lHYKIiIiIlDCdEBaRYnv77bcJCQmhY8eOtG3blqZNmxIUFESpUqVwc3MjPj6e1atXU716dWJiYpg1a1aJxfriiy/StWtXevbsyRNPPMHZs2cZNmzYLccVtcbCLF26lKtXr9KgQQMiIyOZOnWq2fMKFSoQHR3NuHHj8PDwYPjw4VhYWLBy5Ur27NlDzZo1efXVV5k5c+Zdr/s6CwsLwsPDycnJoV+/fkX2fe6552jXrh2tWrXCzc2NDz/88JbzR0REcOXKFQYMGFDg8+joaFauXEnt2rX54IMP+PDDD42TvlZWVsybN4/33nuP8uXL06lTJwBeeeUVRo4cyWuvvUatWrVYv349a9euJSAgwGzumJgYYmJiqFOnDtu2bWPt2rWUK1euONsCXPuMXV1dadKkCWFhYYSGhlK/fv1ijxcRERERERF5lJnybix8KSJyGy5evEiFChWIjY0lIiKipMO5Lx7lNUZERHDmzBnWrl17z+feunUrbdq04fTp08YX3V1nMpn45JNP6Ny58z19Z3JyMr6+vuzbt4+6deve07nvh4yMDJydnUlPT1f5CBEREREREbnvivt7qEpGiEix7du3j59++olGjRqRnp5ulCK4fsLzcfA4rDE9PZ1Dhw6xYsWKe54MzsrK4syZM0RFRdG9e/d8yWARERERERERebipZISI3JZZs2ZRp04d2rZty8WLF9m6dett/XP9R8GjvsZOnTrx9NNPM2TIEJ566ql7OveHH35I5cqVOX/+PG+99dY9nVtERERERERE7j+VjBAReUj5+PgQGRlJZGRkSYdyR+Lj44mMjOT8+fPFHnM/1hweHs758+f59NNP79mcxaGSESIiIiIiIvIgqWSEiMjfTGJiIq1ateLcuXO4uLiUdDgPjblz56K/+xQRERERERG5RglhERF5rDk7O5d0CCIiDw2fcV/c9RzJMR3uQSQiIiIiUlJUQ1hEHjoXLlygT58+2Nvb4+XlxezZs2nZsqVRRmD58uUEBwfj6OiIp6cnvXv3Ji0tzRifmJiIyWRiw4YN1KtXDzs7O1q3bk1aWhrr1q0jKCgIJycnevfuzaVLl4xxLVu25OWXXyYyMhJXV1c8PDxYvHgxFy9eZMCAATg6OuLv78+6deuMMTk5OURERODr64udnR2BgYHMnTv3rtd4s+TkZEwmE/v37zfazp8/j8lkIjExkeTkZFq1agWAq6srJpOJ8PBwANavX8+TTz6Ji4sLZcuWpWPHjpw4cSLf3KtWraJZs2bY2dnRsGFDjh49yq5duwgODsbBwYFnnnmGM2fOAPDNN99gbW3Nb7/9ZhZnZGQkzZo1K3ANJ06coFOnTnh4eODg4EDDhg3ZuHFjkfv09ttvU6tWLezt7fH29mbYsGFkZmYaz+Pj43FxcWHDhg0EBQXh4OBAu3btSE1NNfqEh4fTuXNn475ly5a88sorjBkzhjJlyuDp6UlUVJTZe8+fP8+gQYNwc3PDycmJ1q1bc+DAgSJjFREREREREXkUKCEsIg+dkSNHkpSUxNq1a/nqq6/YunUre/fuNZ5nZ2czZcoUDhw4wKeffkpycrKR/LxRVFQU77zzDtu3b+f06dP06NGDOXPmsGLFCr744gu+/PJL5s+fbzZm2bJllCtXjp07d/Lyyy8zdOhQunfvTpMmTdi7dy9PP/00ffv2NRLJubm5VKxYkdWrV/Pjjz8yceJE/vnPf7Jq1aq7WuPt8vb25uOPPwbgyJEjpKamGonpixcvMnLkSHbv3s2mTZuwsLCgS5cu5Obmms0xadIk3njjDfbu3YuVlRW9e/dmzJgxzJ07l61bt3L8+HEmTpwIQPPmzfHz82P58uXG+OzsbBISEhg4cGCBMWZmZtK+fXs2bdrEvn37aNeuHWFhYaSkpBS6LgsLC+bNm8cPP/zAsmXL+PrrrxkzZoxZn0uXLjFr1iyWL1/ON998Q0pKCqNGjSpyv5YtW4a9vT07duzgrbfeYvLkyXz11VfG8+7duxt/gbBnzx7q169PmzZt+PPPP4ucV0RERERERORhp5IRIvJQuXDhAsuWLWPFihW0adMGgLi4OMqXL2/0uTHh6Ofnx7x582jYsCGZmZk4ODgYz6ZOnUrTpk0BiIiIYPz48Zw4cQI/Pz8AunXrxubNmxk7dqwxpk6dOrzxxhsAjB8/npiYGMqVK8fgwYMBmDhxIgsXLuTgwYM0btwYa2troqOjjfG+vr58++23rFq1ih49etzxGm+XpaUlZcqUAcDd3d2shvBzzz1n1nfp0qW4ubnx448/UrNmTaN91KhRhIaGAjBixAh69erFpk2bzPYwPj7e6B8REUFcXByjR48G4L///S+XL18udN116tShTp06xv2UKVP45JNPWLt2LcOHDy9wzI0npn18fJg6dSpDhgxhwYIFRnt2djb/+te/qFKlCgDDhw9n8uTJBc53Xe3atZk0aRIAAQEBvPPOO2zatImnnnqKbdu2sXPnTtLS0rC1tQVg1qxZfPrpp/znP//hhRdeKHDOrKwssrKyjPuMjIwiYxAREREREREpCTohLCIPlZMnT5KdnU2jRo2MNmdnZwIDA437PXv2EBYWRqVKlXB0dKRFixYA+U6a1q5d2/jZw8OD0qVLG8ng6203lpq4eYylpSVly5alVq1aZmMAs3HvvvsuDRo0wM3NDQcHBxYtWmTEsnXrVhwcHIwrISGhWGu8l44dO0avXr3w8/PDyckJHx8f4Nb7BeRb+43rDg8P5/jx43z33XfAtfINPXr0wN7evsA4MjMzGTVqFEFBQbi4uODg4MDhw4eLPCG8ceNG2rRpQ4UKFXB0dKRv376cPXvWrNRH6dKljWQwgJeXV77P9WY3rvXmMQcOHCAzM5OyZcuafXanTp0yK7VxsxkzZuDs7Gxc3t7eRcYgIiIiIiIiUhJ0QlhEHikXL14kNDSU0NBQEhIScHNzIyUlhdDQUK5cuWLW19ra2vjZZDKZ3V9vu7lsQkF9bp4HMMatXLmSUaNGERsbS0hICI6OjsycOZMdO3YAEBwcbFb318PDg5MnT972ui0srv39XV5entGWnZ1drLFhYWFUrlyZxYsXU758eXJzc6lZs+Yt96ugthv3y93dnbCwMOLi4vD19WXdunUkJiYWGseoUaP46quvmDVrFv7+/tjZ2dGtW7d8cVyXnJxMx44dGTp0KNOmTaNMmTJs27aNiIgIrly5QunSpfPFeD3OG/epIEX9WcjMzMTLy6vAtdx48vpm48ePZ+TIkcZ9RkaGksIiIiIiIiLy0FFCWEQeKn5+flhbW7Nr1y4qVaoEQHp6OkePHqV58+b89NNPnD17lpiYGCPZtnv37hKLNykpiSZNmjBs2DCj7cZTpHZ2dvj7+5uNudUaC+Lm5gZAamoq9erVAzBLNAPY2NgA177o7rqzZ89y5MgRFi9ebHzZ27Zt2+5kqQUaNGgQvXr1omLFilSpUsUoL1GQpKQkwsPD6dKlC3At8ZqcnFxo/z179pCbm0tsbKyREL9VbeZ7oX79+vz2229YWVkZp6mLw9bW1igxISIiIiIiIvKwUkJYRB4qjo6O9O/fn9GjR1OmTBnc3d2ZNGkSFhYWmEwmKlWqhI2NDfPnz2fIkCF8//33TJkypcTiDQgI4IMPPmDDhg34+vqyfPlydu3aha+vb6FjbrXGgtjZ2dG4cWNiYmLw9fUlLS3NqHV8XeXKlTGZTHz++ee0b98eOzs7XF1dKVu2LIsWLcLLy4uUlBTGjRt3z9YfGhqKk5MTU6dOvWXd3oCAANasWUNYWBgmk4kJEybkO6F9I39/f7Kzs5k/fz5hYWEkJSXxr3/9657FXpi2bdsSEhJC586deeutt6hatSq//vorX3zxBV26dCE4OPi+xyAicr8kx3Qo6RBEREREpISphrCIPHTefvttQkJC6NixI23btqVp06YEBQVRqlQp3NzciI+PZ/Xq1VSvXp2YmBhmzZpVYrG++OKLdO3alZ49e/LEE09w9uxZs9PChSlqjYVZunQpV69epUGDBkRGRjJ16lSz5xUqVCA6Oppx48bh4eHB8OHDsbCwYOXKlezZs4eaNWvy6quvMnPmzLte93UWFhaEh4eTk5NDv379iuz79ttv4+rqSpMmTQgLCyM0NJT69esX2r9OnTq8/fbbvPnmm9SsWZOEhARmzJhxz2IvjMlk4n//+x/NmzdnwIABVK1aleeff56ff/7ZqK0sIiIiIiIi8qgy5d2q0KKISAm7ePEiFSpUIDY2loiIiJIO5754lNcYERHBmTNnWLt2bUmH8lDJyMjA2dmZ9PR0nJycSjocERERERERecwV9/dQlYwQkYfOvn37+Omnn2jUqBHp6elGKYJOnTqVcGT3zuOwxvT0dA4dOsSKFSuUDBYRERERERF5RCghLCIPpVmzZnHkyBFsbGxo0KABW7dupVy5ciUd1j31qK+xU6dO7Ny5kyFDhvDUU0+VdDgiIiIiIiIiUgwqGSEiJc7Hx4fIyEgiIyNLOpQ7Eh8fT2RkJOfPny/pUIrtfux5y5YtqVu3LnPmzLlncz7KVDJCREREREREHqTi/h6qL5UTkUdOYmIiJpPpkUrALl68mGbNmuHq6oqrqytt27Zl586dJRbPrl27eOGFF0rs/YVJTk7GZDKxf//+B/ZOk8nEp59++sDeJyIiIiIiIlKSVDJCROQBSExMpFevXjRp0oRSpUrx5ptv8vTTT/PDDz9QoUKFBx6Pm5vbA3/ng5STk4PJZMLCQn/vKSJyI59xX5R0CFKE5JgOJR2CiIiI/A3oN2WREnThwgX69OmDvb09Xl5ezJ49m5YtWxr/jH/58uUEBwfj6OiIp6cnvXv3Ji0tzRh//aTshg0bqFevHnZ2drRu3Zq0tDTWrVtHUFAQTk5O9O7dm0uXLhnjWrZsycsvv0xkZCSurq54eHiwePFiLl68yIABA3B0dMTf359169YZY3JycoiIiMDX1xc7OzsCAwOZO3fuXa/xZgWdED1//jwmk4nExESSk5Np1aoVAK6urphMJsLDwwFYv349Tz75JC4uLpQtW5aOHTty4sSJfHOvWrWKZs2aYWdnR8OGDTl69Ci7du0iODgYBwcHnnnmGc6cOQPAN998g7W1Nb/99ptZnJGRkTRr1uyW678uISGBYcOGUbduXapVq8aSJUvIzc1l06ZNRY57++23qVWrFvb29nh7ezNs2DAyMzON5/Hx8bi4uPD5558TGBhI6dKl6datG5cuXWLZsmX4+Pjg6urKK6+8Qk5OjjHOx8fHrLSDyWRiyZIldOnShdKlSxMQEJDvi+K2bNlCo0aNsLW1xcvLi3HjxnH16lWzPlevXmX48OE4OztTrlw5JkyYwI2ViQo6jevi4kJ8fDwAvr6+ANSrVw+TyUTLli2L9Rlc34e1a9dSvXp1bG1tSUlJYdeuXTz11FOUK1cOZ2dnWrRowd69e832AaBLly6YTCbjHuCzzz6jfv36lCpVCj8/P6Kjo/OtV0RERERERORRo4SwSAkaOXIkSUlJrF27lq+++oqtW7eaJauys7OZMmUKBw4c4NNPPyU5OdlIft4oKiqKd955h+3bt3P69Gl69OjBnDlzWLFiBV988QVffvkl8+fPNxuzbNkyypUrx86dO3n55ZcZOnQo3bt3p0mTJuzdu5enn36avn37Gonk3NxcKlasyOrVq/nxxx+ZOHEi//znP1m1atVdrfF2eXt78/HHHwNw5MgRUlNTjcT0xYsXGTlyJLt372bTpk1YWFjQpUsXcnNzzeaYNGkSb7zxBnv37sXKyorevXszZswY5s6dy9atWzl+/DgTJ04EoHnz5vj5+bF8+XJjfHZ2NgkJCQwcOPCO13Hp0iWys7MpU6ZMkf0sLCyYN28eP/zwA8uWLePrr79mzJgx+eaaN28eK1euZP369SQmJtKlSxf+97//8b///Y/ly5fz3nvv8Z///KfId0VHR9OjRw8OHjxI+/bt6dOnD3/++ScA//d//0f79u1p2LAhBw4cYOHChbz//vtMnTrVbI5ly5ZhZWXFzp07mTt3Lm+//TZLliwp9r5cL6OxceNGUlNTWbNmTbE/g0uXLvHmm2+yZMkSfvjhB9zd3blw4QL9+/dn27ZtfPfddwQEBNC+fXsuXLgAXCudARAXF0dqaqpxv3XrVvr168eIESP48ccfee+994iPj2fatGmFxp6VlUVGRobZJSIiIiIiIvKwUckIkRJy4cIFli1bxooVK2jTpg1wLSlVvnx5o8+NyS4/Pz/mzZtHw4YNyczMxMHBwXg2depUmjZtCkBERATjx4/nxIkT+Pn5AdCtWzc2b97M2LFjjTF16tThjTfeAGD8+PHExMRQrlw5Bg8eDMDEiRNZuHAhBw8epHHjxlhbWxMdHW2M9/X15dtvv2XVqlX06NHjjtd4uywtLY0kqru7Oy4uLsaz5557zqzv0qVLcXNz48cff6RmzZpG+6hRowgNDQVgxIgR9OrVi02bNpnt4fUTq9fv4+LiGD16NAD//e9/uXz5cqHrLo6xY8dSvnx52rZtW2S/G09S+/j4MHXqVIYMGcKCBQuM9uzsbBYuXEiVKlWAa5/38uXL+f3333FwcKB69eq0atWKzZs307Nnz0LfFR4eTq9evQCYPn068+bNY+fOnbRr144FCxbg7e3NO++8g8lkolq1avz666+MHTuWiRMnGqUZvL29mT17NiaTicDAQA4dOsTs2bONP1e3cr2URdmyZfH09DTai/MZZGdns2DBAurUqWO0tW7d2mz+RYsW4eLiwpYtW+jYsaPxPhcXF7P3RUdHM27cOPr37w9c+9/flClTGDNmDJMmTSow9hkzZpj9b0RERERERETkYaQTwiIl5OTJk2RnZ9OoUSOjzdnZmcDAQON+z549hIWFUalSJRwdHWnRogUAKSkpZnPVrl3b+NnDw4PSpUsbyeDrbTeWmrh5jKWlJWXLlqVWrVpmYwCzce+++y4NGjTAzc0NBwcHFi1aZMSydetWHBwcjCshIaFYa7yXjh07Rq9evfDz88PJycn45/+32i8g39pvXHd4eDjHjx/nu+++A66VJ+jRowf29vb5YkhJSTHbh+nTp+frExMTw8qVK/nkk08oVaoUcC0Be+O46zFv3LiRNm3aUKFCBRwdHenbty9nz541KwFSunRpIxl8PX4fHx+zvzQo6M/AzW7cF3t7e5ycnIwxhw8fJiQkBJPJZPRp2rQpmZmZ/PLLL0Zb48aNzfqEhIRw7Ngxs3IVd6I4n4GNjY3ZGgB+//13Bg8eTEBAAM7Ozjg5OZGZmZnvz8TNDhw4wOTJk80+k8GDB5Oammq29zcaP3486enpxnX69Om7WrOIiIiIiIjI/aATwiIPqYsXLxIaGkpoaCgJCQm4ubmRkpJCaGgoV65cMetrbW1t/Gwymczur7fdXDahoD43zwMY41auXMmoUaOIjY0lJCQER0dHZs6cyY4dOwAIDg42q/vr4eHByZMnb3vd10+a3lh3Njs7u1hjw8LCqFy5MosXL6Z8+fLk5uZSs2bNW+5XQW037pe7uzthYWHExcXh6+vLunXrSExMLDCG8uXLm+3DzSUhZs2aRUxMDBs3bjRLXg4ZMsTstGv58uVJTk6mY8eODB06lGnTplGmTBm2bdtGREQEV65coXTp0vlivx5/cf4M3OxOxtwuk8lk9tlC8T7f4nwGdnZ2ZslogP79+3P27Fnmzp1L5cqVsbW1JSQkJN+fiZtlZmYSHR1N165d8z27nsS/ma2tLba2trdci4iIiIiIiEhJUkJYpIT4+flhbW3Nrl27qFSpEgDp6ekcPXqU5s2b89NPP3H27FliYmLw9vYGYPfu3SUWb1JSEk2aNGHYsGFG241f2GZnZ4e/v7/ZmFutsSDX/wl/amoq9erVAzBLsMK1k6CA2anTs2fPcuTIERYvXmx80di2bdvuZKkFGjRoEL169aJixYpUqVLFKC9xMysrq3z7cN1bb73FtGnT2LBhA8HBwWbPypQpky95vGfPHnJzc4mNjTUS5beq2Xy/BAUF8fHHH5OXl2ckXZOSknB0dKRixYpGv+t/QXDd9bq9lpaWwLXPNzU11Xh+7NgxsxO3BX221xX3M7hRUlISCxYsoH379gCcPn2aP/74w6yPtbV1vvfVr1+fI0eOFPpZioiIiIiIiDyqlBAWKSGOjo7079+f0aNHU6ZMGdzd3Zk0aRIWFhaYTCYqVaqEjY0N8+fPZ8iQIXz//fdMmTKlxOINCAjggw8+YMOGDfj6+rJ8+XJ27dqFr69voWNutcaC2NnZ0bhxY2JiYvD19SUtLc2odXxd5cqVMZlMfP7557Rv3x47OztcXV0pW7YsixYtwsvLi5SUFMaNG3fP1h8aGoqTkxNTp05l8uTJtz3+zTffZOLEiaxYsQIfHx9+++03AKMcQUH8/f3Jzs5m/vz5hIWFkZSUxL/+9a+7WsedGjZsGHPmzOHll19m+PDhHDlyhEmTJjFy5EgjWQ3XSmaMHDmSF198kb179zJ//nxiY2ON561bt+add94hJCSEnJwcxo4da3Yy2d3dHTs7O9avX0/FihUpVaoUzs7OwJ19BgEBASxfvpzg4GAyMjIYPXo0dnZ2Zn18fHyMGtK2tra4uroyceJEOnbsSKVKlejWrRsWFhYcOHCA77//Pt8X6YmIPEqSYzqUdAgiIiIiUsJUQ1ikBL399tuEhITQsWNH2rZtS9OmTQkKCqJUqVK4ubkRHx/P6tWrqV69OjExMcyaNavEYn3xxRfp2rUrPXv25IknnuDs2bNmp4ULU9QaC7N06VKuXr1KgwYNiIyMzJeAq1ChgvGlXx4eHgwfPhwLCwtWrlzJnj17qFmzJq+++iozZ86863VfZ2FhQXh4ODk5OfTr1++2xy9cuJArV67QrVs3vLy8jKuoz7ROnTq8/fbbvPnmm9SsWZOEhARmzJhxN8u4YxUqVOB///sfO3fupE6dOgwZMoSIiIh8yfp+/frx119/0ahRI1566SVGjBjBCy+8YDyPjY3F29ubZs2a0bt3b0aNGmWUvoBrJ6znzZvHe++9R/ny5enUqZPx7E4+g/fff59z585Rv359+vbtyyuvvIK7u7tZn9jYWL766iu8vb2NU+mhoaF8/vnnfPnllzRs2JDGjRsze/ZsKleufNt7JyIiIiIiIvIwMeXdXMxRRErMxYsXqVChArGxsURERJR0OPfFo7zGiIgIzpw5w9q1a0s6lL+tR+kzyMjIwNnZmfT0dJycnEo6HBEREREREXnMFff3UJWMEClB+/bt46effqJRo0akp6cb/wz+xlORj7rHYY3p6ekcOnSIFStWPBKJyMeRPgMRERERERGRe0MJYZESNmvWLI4cOYKNjQ0NGjRg69atlCtXrqTDuqce9TV26tSJnTt3MmTIEJ566qmSDudvSZ+BiIiIiIiIyL2hkhEi8lhLTEykVatWnDt3DhcXl5IO546YTCY++eQTOnfuXKz+D9Oabzf2qKgoPv30U/bv33/PYiip/VDJCBEREREREXmQivt7qL5UTkQeKy1btiQyMrKkw5CHSJMmTUhNTcXZ2bmkQxEREREREREpcSoZISJykytXrmBjY1PSYcg9YmNjg6enZ0mHISJSYnzGfWH8nBzToQQjEREREZGHgU4Ii8hjIzw8nC1btjB37lxMJhMmk4nk5GQA9uzZQ3BwMKVLl6ZJkyYcOXLEGBcVFUXdunVZsmQJvr6+lCpVCoDz588zaNAg3NzccHJyonXr1hw4cMDsnQsXLqRKlSrY2NgQGBjI8uXLzZ6bTCaWLFlCly5dKF26NAEBAcaXouXl5eHv78+sWbPMxuzfvx+TycTx48fzrTE5ORmTycTKlStp0qQJpUqVombNmmzZsiVf36LWDPDZZ59Rv359SpUqhZ+fH9HR0Vy9evW+xQ4wduxYqlatSunSpfHz82PChAlkZ2cX2Bdg165dPPXUU5QrVw5nZ2datGjB3r17zfoUFSdcKxlhMpk4f/48APHx8bi4uLBhwwaCgoJwcHCgXbt2pKamms27ZMkSgoKCKFWqFNWqVWPBggWFxikiIiIiIiLyqFBCWEQeG3PnziUkJITBgweTmppKamoq3t7eALz++uvExsaye/durKysGDhwoNnY48eP8/HHH7NmzRqjfm337t1JS0tj3bp17Nmzh/r169OmTRv+/PNPAD755BNGjBjBa6+9xvfff8+LL77IgAED2Lx5s9nc0dHR9OjRg4MHD9K+fXv69OnDn3/+iclkYuDAgcTFxZn1j4uLo3nz5vj7+xe61tGjR/Paa6+xb98+QkJCCAsL4+zZs2Z9ilrz1q1b6devHyNGjODHH3/kvffeIz4+nmnTpt3X2B0dHYmPj+fHH39k7ty5LF68mNmzZxe6zgsXLtC/f3+2bdvGd999R0BAAO3bt+fChQvFirMwly5dYtasWSxfvpxvvvmGlJQURo0aZTxPSEhg4sSJTJs2jcOHDzN9+nQmTJjAsmXLCp0zKyuLjIwMs0tERERERETkoZMnIvIYadGiRd6IESOM+82bN+cBeRs3bjTavvjiizwg76+//srLy8vLmzRpUp61tXVeWlqa0Wfr1q15Tk5OeZcvXzabv0qVKnnvvfdeXl5eXl6TJk3yBg8ebPa8e/fuee3btzfugbw33njDuM/MzMwD8tatW5eXl5eX93//9395lpaWeTt27MjLy8vLu3LlSl65cuXy4uPjzeb45JNP8vLy8vJOnTqVB+TFxMQYz7Ozs/MqVqyY9+abbxZ7zW3atMmbPn26WezLly/P8/Lyum+xF2TmzJl5DRo0MO4nTZqUV6dOnUL75+Tk5Dk6Oub997//LXac1/fj3LlzeXl5eXlxcXF5QN7x48eNMe+++26eh4eHcV+lSpW8FStWmL17ypQpeSEhIYXGNmnSpDwg35Wenl7oGBGRB6Hy2M+NS0REREQeX+np6cX6PVQnhEXkb6F27drGz15eXgCkpaUZbZUrV8bNzc24P3DgAJmZmZQtWxYHBwfjOnXqFCdOnADg8OHDNG3a1Ow9TZs25fDhw4W+297eHicnJ+Pd5cuXp0OHDixduhSA//73v2RlZdG9e/ci1xMSEmL8bGVlRXBwcJHvvXnNBw4cYPLkyWZru36y+tKlS/ct9o8++oimTZvi6emJg4MDb7zxBikpKYX2//333xk8eDABAQE4Ozvj5OREZmZmvjFFxVmQ0qVLU6VKFbP9ud7/4sWLnDhxgoiICLP9mTp1qvHZF2T8+PGkp6cb1+nTpwvtKyIiIiIiIlJS9KVyIvK3YG1tbfxsMpkAyM3NNdrs7e3N+mdmZuLl5UViYmK+uVxcXO743dfff+O7Bw0aRN++fZk9ezZxcXH07NmT0qVL39Y7bvXem9ecmZlJdHQ0Xbt2zTfueg3lex37t99+S58+fYiOjiY0NBRnZ2dWrlxJbGxsoWvo378/Z8+eZe7cuVSuXBlbW1tCQkK4cuVKoWstKM6bFdQ/Ly8PuLY3AIsXL+aJJ54w62dpaVnonLa2ttja2hb6XERERERERORhoISwiDxWbGxsyMnJuet56tevz2+//YaVlRU+Pj4F9gkKCiIpKYn+/fsbbUlJSVSvXv223tW+fXvs7e1ZuHAh69ev55tvvrnlmO+++47mzZsDcPXqVfbs2cPw4cOL/c769etz5MiRIusUF8ftxL59+3YqV67M66+/brT9/PPPRc6flJTEggULaN++PQCnT5/mjz/+uKuYb8XDw4Py5ctz8uRJ+vTpc1/fJSIiIiIiIvKgKSEsIo8VHx8fduzYQXJyMg4ODkWeEi1K27ZtCQkJoXPnzrz11ltUrVqVX3/9lS+++IIuXboQHBzM6NGj6dGjB/Xq1aNt27b897//Zc2aNWzcuPG23mVpaUl4eDjjx48nICDArBxEYd59910CAgIICgpi9uzZnDt3Lt8X5RVl4sSJdOzYkUqVKtGtWzcsLCw4cOAA33//PVOnTr0vsQcEBJCSksLKlStp2LAhX3zxBZ988kmR8wcEBLB8+XKCg4PJyMhg9OjR2NnZFTu+OxUdHc0rr7yCs7Mz7dq1Iysri927d3Pu3DlGjhx5398vInIvJcd0KOkQREREROQhohrCIvJYGTVqFJaWllSvXh03N7ci69MWxWQy8b///Y/mzZszYMAAqlatyvPPP8/PP/+Mh4cHAJ07d2bu3LnMmjWLGjVq8N577xEXF0fLli1v+30RERFcuXKFAQMGFKt/TEwMMTEx1KlTh23btrF27VrKlStX7PeFhoby+eef8+WXX9KwYUMaN27M7NmzqVy58n2L/dlnn+XVV19l+PDh1K1bl+3btzNhwoQix7z//vucO3eO+vXr07dvX1555RXc3d1vO8bbNWjQIJYsWUJcXBy1atWiRYsWxMfH4+vre9/fLSIiIiIiInI/mfKuF00UEZESs3XrVtq0acPp06eNhHNBkpOT8fX1Zd++fdStW/fBBViE4sb+d5ORkYGzszPp6ek4OTmVdDgiIiIiIiLymCvu76EqGSEiUoKysrI4c+YMUVFRdO/e/ZFKqD7KsYuIiIiIiIj8XalkhIhICfrwww+pXLky58+f56233irpcG7Loxy7iIiIiIiIyN+VSkaIiNxnLVu2pG7dusyZM6ekQwHuLB6TycQnn3xC586d71tcd+Nh22NQyQgRERERERF5sIr7e6hOCIuIyD0XHx+Pi4vLA3vfmjVrmDJlyn2Z+06+JFBERERERETkYaUawiIi8sgrU6bMPZ3v6NGj7N27l+eff95o27t3L7/++isdO3a8p+8SEXmQfMZ9cd/mTo7pcN/mFhEREZF7RyeERUQeoKysLEaNGkWFChWwt7fniSeeIDEx0XgeFRVF3bp1zcbMmTMHHx8fs7alS5dSo0YNbG1t8fLyYvjw4QAMHDgwX8IyOzsbd3d33n///QJjSk1NpUOHDtjZ2eHr68uKFSvw8fEptPxCYmIiJpOJ8+fPG2379+/HZDKRnJxMYmIiAwYMID09HZPJhMlkIioqCoDly5cTHByMo6Mjnp6e9O7dm7S0tHxzb9iwgXr16mFnZ0fr1q1JS0tj3bp1BAUF4eTkRO/evbl06ZIxrmXLlkRGRhr3Pj4+TJ8+nYEDB+Lo6EilSpVYtGiR2TpOnz5Njx49cHFxoUyZMnTq1Ink5GQAypUrx+bNm+nRowfnz59n4sSJjB8/Hj8/vwL3RERERERERORRoYSwiMgDNHz4cL799ltWrlzJwYMH6d69O+3atePYsWPFnmPhwoW89NJLvPDCCxw6dIi1a9fi7+8PwKBBg1i/fj2pqalG/88//5xLly7Rs2fPAufr168fv/76K4mJiXz88ccsWrTILEl7u5o0acKcOXNwcnIiNTWV1NRURo0aBVxLTk+ZMoUDBw7w6aefkpycTHh4eL45oqKieOedd9i+fbuRuJ0zZw4rVqzgiy++4Msvv2T+/PlFxhEbG0twcDD79u1j2LBhDB06lCNHjhhxhIaG4ujoyNatW0lKSsLBwYF27dpx5coVypQpw3vvvUfbtm05cOAAJ06cYMOGDVSvXr3Q92VlZZGRkWF2iYiIiIiIiDxsVDJCROQBSUlJIS4ujpSUFMqXLw/AqFGjWL9+PXFxcUyfPr1Y80ydOpXXXnuNESNGGG0NGzYEriVjAwMDWb58OWPGjAEgLi6O7t274+DgkG+un376iY0bN7Jr1y6Cg4MBWLJkCQEBAXe8ThsbG5ydnTGZTHh6epo9GzhwoPGzn58f8+bNo2HDhmRmZprFN3XqVJo2bQpAREQE48eP58SJE8YJ3W7durF582bGjh1baBzt27dn2LBhAIwdO5bZs2ezefNmAgMD+eijj8jNzWXJkiWYTCbg2j65uLiQmJhIw4YNef311/njjz+oU6cOVapU4ZlnnmHOnDkEBgYW+L4ZM2YQHR19BzsmIiIiIiIi8uDohLCIyANy6NAhcnJyqFq1Kg4ODsa1ZcsWTpw4Uaw50tLS+PXXX2nTpk2hfQYNGkRcXBwAv//+O+vWrTNLxN7oyJEjWFlZUb9+faPN398fV1fX21hZ8e3Zs4ewsDAqVaqEo6MjLVq0AK4ly29Uu3Zt42cPDw9Kly5tVq7Bw8PjlqeYb5zjenL6+pgDBw5w/PhxHB0djc+hTJkyXL58mRMnTpCWlkazZs1YtWoVLi4uTJ48mWnTpnH06NFC3zd+/HjS09ON6/Tp08XfGBEREREREZEHRCeERUQekMzMTCwtLdmzZw+WlpZmz66fjrWwsCAvL8/sWXZ2tvGznZ3dLd/Tr18/xo0bx7fffsv27dvx9fWlWbNm92AFGDECZnHeGGNhLl68SGhoKKGhoSQkJODm5kZKSgqhoaFcuXLFrK+1tbXxs8lkMru/3pabm1vk+4oak5mZSYMGDUhISMg3zs3NDWdn53wngevXr2+WOL+Zra0ttra2RcYkIiIiIiIiUtKUEBYReUDq1atHTk6Ocfq0IG5ubvz222/k5eUZpQz2799vPHd0dMTHx4dNmzbRqlWrAucoW7YsnTt3Ji4ujm+//ZYBAwYUGlNgYCBXr15l3759NGjQAIDjx49z7ty5Qse4ubkB176M7vpJ4htjhGtlI3JycszafvrpJ86ePUtMTAze3t4A7N69u9D33E/169fno48+wt3dHScnpyL73vilfyIiIiIiIiKPOiWERUQekKpVq9KnTx/69etHbGws9erV48yZM2zatInatWvToUMHWrZsyZkzZ3jrrbfo1q0b69evZ926dWZJy6ioKIYMGYK7uzvPPPMMFy5cICkpiZdfftnoM2jQIDp27EhOTg79+/cvNKZq1arRtm1bXnjhBRYuXIi1tTWvvfYadnZ2RkL6Zv7+/nh7exMVFWWUUYiNjTXr4+PjQ2ZmJps2baJOnTqULl2aSpUqYWNjw/z58xkyZAjff/89U6ZMuctdvTN9+vRh5syZdOrUicmTJ1OxYkV+/vln1qxZw5gxY6hYsWKJxCUicr8lx3Qo6RBEREREpISphrCIyAMUFxdHv379eO211wgMDKRz587s2rWLSpUqARAUFMSCBQt49913qVOnDjt37mTUqFFmc/Tv3585c+awYMECatSoQceOHTl27JhZn7Zt2+Ll5UVoaKjxBXaF+eCDD/Dw8KB58+Z06dKFwYMH4+joSKlSpQrsb21tzYcffshPP/1E7dq1efPNN5k6dapZnyZNmjBkyBB69uyJm5sbb731Fm5ubsTHx7N69WqqV69OTEwMs2bNut0tvCdKly7NN998Q6VKlejatStBQUFERERw+fLlW54YFhEREREREXmUmfJuLlYpIiKPvMzMTCpUqEBcXBxdu3a9rbG//PIL3t7ebNy4scgvr5OiZWRk4OzsTHp6upLMIiIiIiIict8V9/dQlYwQEXmM5Obm8scffxAbG4uLiwvPPvvsLcd8/fXXZGZmUqtWLVJTUxkzZgw+Pj40b978AUQsIiIiIiIiIg+SEsIiIo+RlJQUfH19qVixIvHx8VhZ3fr/5rOzs/nnP//JyZMncXR0pEmTJiQkJGBtbf0AIhYRERERERGRB0k1hEVEHiM+Pj7k5eVx+vTpYpd7CA0N5fvvv+fSpUv8/vvvfPLJJ1SuXLnId8yZM6fYMbVs2ZLIyMhi9wcwmUx8+umntzWmMImJiZhMJs6fP39P5hMRERERERF5lCkhLCIij7UmTZqQmpqKs7NzSYciIiIiIiIiUuJUMkJERAC4cuUKNjY2JR3GPWdjY4Onp2dJhyEi8lDwGfdFSYcgj5HkmA4lHYKIiIjcAZ0QFhF5TLVs2ZLhw4czfPhwnJ2dKVeuHBMmTCAvLw+4VvphypQp9OvXDycnJ1544QUAPv74Y2rUqIGtrS0+Pj7ExsYW+o6BAwfSsWNHs7bs7Gzc3d15//33CxyTmppKhw4dsLOzw9fXlxUrVhRZhqJ169YMHz7crO3MmTPY2NiwadMmALKyshg7dize3t7Y2tri7+9vvP/mkhHx8fG4uLiwYcMGgoKCcHBwoF27dqSmppq9Y8mSJQQFBVGqVCmqVavGggULCt0HERERERERkUeFEsIiIo+xZcuWYWVlxc6dO5k7dy5vv/02S5YsMZ7PmjWLOnXqsG/fPiZMmMCePXvo0aMHzz//PIcOHSIqKooJEyYQHx9f4PyDBg1i/fr1ZsnUzz//nEuXLtGzZ88Cx/Tr149ff/2VxMREPv74YxYtWkRaWlqhaxg0aBArVqwgKyvLaPv3v/9NhQoVaN26tTHnhx9+yLx58zh8+DDvvfceDg4Ohc556dIlZs2axfLly/nmm29ISUlh1KhRxvOEhAQmTpzItGnTOHz4MNOnT2fChAksW7as0DmzsrLIyMgwu0REREREREQeNioZISLyGPP29mb27NmYTCYCAwM5dOgQs2fPZvDgwcC107evvfaa0b9Pnz60adOGCRMmAFC1alV+/PFHZs6cSXh4eL75mzRpQmBgIMuXL2fMmDEAxMXF0b179wITsj/99BMbN25k165dBAcHA9dO4gYEBBS6hq5duzJ8+HA+++wzevToAVw75RseHo7JZOLo0aOsWrWKr776irZt2wLg5+dX5L5kZ2fzr3/9iypVqgAwfPhwJk+ebDyfNGkSsbGxdO3aFQBfX19+/PFH3nvvPfr371/gnDNmzCA6OrrI94qIiIiIiIiUNJ0QFhF5jDVu3BiTyWTch4SEcOzYMXJycgCMpOx1hw8fpmnTpmZtTZs2NRtzs0GDBhEXFwfA77//zrp16xg4cGCBfY8cOYKVlRX169c32vz9/XF1dS10DaVKlaJv374sXboUgL179/L9998bCer9+/djaWlJixYtCp3jZqVLlzaSwQBeXl7GKeWLFy9y4sQJIiIicHBwMK6pU6dy4sSJQuccP3486enpxnX69OlixyMiIiIiIiLyoOiEsIjI35i9vf1dz9GvXz/GjRvHt99+y/bt2/H19aVZs2b3ILr/Z9CgQdStW5dffvmFuLg4WrduTeXKlQGws7O77fmsra3N7k0mk1FbOTMzE4DFixfzxBNPmPWztLQsdE5bW1tsbW1vOxYRERERERGRB0knhEVEHmM7duwwu//uu+8ICAgoNLEZFBREUlKSWVtSUhJVq1YtdEzZsmXp3LkzcXFxxMfHM2DAgELjCQwM5OrVq+zbt89oO378OOfOnStyHbVq1SI4OJjFixezYsUKsxPItWrVIjc3ly1bthQ5R3F5eHhQvnx5Tp48ib+/v9nl6+t7T94hIiIiIiIiUlJ0QlhE5DGWkpLCyJEjefHFF9m7dy/z588nNja20P6vvfYaDRs2ZMqUKfTs2ZNvv/2Wd955hwULFhT5nkGDBtGxY0dycnIKrbELUK1aNdq2bcsLL7zAwoULsba25rXXXsPOzs6stEVh7xg+fDj29vZ06dLFaPfx8aF///4MHDiQefPmUadOHX7++WfS0tKMmsO3Kzo6mldeeQVnZ2fatWtHVlYWu3fv5ty5c4wcOfKO5hQReRgkx3Qo6RBEREREpITphLCIyGOsX79+/PXXXzRq1IiXXnqJESNG8MILLxTav379+qxatYqVK1dSs2ZNJk6cyOTJkwv8QrkbtW3bFi8vL0JDQylfvnyRfT/44AM8PDxo3rw5Xbp0YfDgwTg6OlKqVKkix/Xq1QsrKyt69eqVr+/ChQvp1q0bw4YNo1q1agwePJiLFy8WOV9RBg0axJIlS4iLi6NWrVq0aNGC+Ph4nRAWERERERGRR54p73rRRBEReay0bNmSunXrMmfOnPv+rszMTCpUqEBcXBxdu3a9rbG//PIL3t7ebNy4kTZt2hTaLzk5mSpVqrBr1y6zL6V7WGVkZODs7Ex6ejpOTk4lHY6IiIiIiIg85or7e6hKRoiIyB3Lzc3ljz/+IDY2FhcXF5599tlbjvn666/JzMykVq1apKamMmbMGHx8fGjevHmB/bOzszl79ixvvPEGjRs3fiSSwSIiIiIiIiIPKyWERUTkjqWkpODr60vFihWJj4/HyurW/1nJzs7mn//8JydPnsTR0ZEmTZqQkJCAtbV1gf2TkpJo1aoVVatW5T//+c+9XoKIiIiIiIjI34pqCIuIPKYSExOZM2cO4eHhdO7cucDnJpOJX375BWtra1auXGn2/Pnnn8dkMpGcnGzW7uPjw4QJEwCIj48HrpV9aNu2LSaTCZPJRLVq1Yz+p06donfv3pQvX55SpUoRERFBlSpV2Lt3L7///juffPIJlStXBuDDDz/E0tKSl156yRjfsmVL8vLyOHLkCN999x116tTBwcEBFxcX6tWrx4wZM4y+PXv2pFGjRuTk5Bht2dnZNGjQgD59+gBw4MABbGxsWLt2rdm6Pv74Y0qVKsX3339v1t6yZcsidllERERERETk0aITwiIif3MODg4EBweTmJjI888/b7QnJibi7e1NYmKi8aVyp06d4ueff6Z169ZGvxo1arBx40azOa+fFM7Ozuapp54iMDCQNWvW4OXlxS+//MK6des4f/58vljef/99xowZw3vvvUdsbKzZl8ctXbqUyMhI5s2bR4sWLcjKyuLgwYNmCdwFCxZQo0YNYmJieP311wGYMmUKqampRox16tRh4sSJvPDCCzRt2pSyZcuSlpbGkCFDiI6OpmbNmhw9epS9e/ea7cfevXv59ddf6dix4x3utMjjyWfcFyUdgtyG5JgOJR2CiIiIiJQwJYRFRIRWrVqxZs0a4/7w4cNcvnyZESNGmCWEExMTsbW1JSQkxOhrZWWFp6dngfP+8MMPnDhxgk2bNhmngCtXrkzTpk3z9T116hTbt2/n448/ZvPmzaxZs4bevXsbz9euXUuPHj2IiIgw2mrUqGE2R9myZVm0aBHdu3cnLCyMK1euMGPGDD777DNcXV2NfuPHj2ft2rW89NJLrFy5khdffJGAgABGjRoFQLly5YwYzp8/z8SJE9mxYwezZ88u7paKiIiIiIiIPJRUMkJERGjVqhVHjhwhNTUVgM2bN/Pkk0/SunVrEhMTjX6bN28mJCTE7ORuUdzc3LCwsOA///mPWRmHgsTFxdGhQwecnZ35xz/+wfvvv2/23NPTk++++46ff/65yHmeffZZnn/+efr160f//v3p378/7du3N+tjaWnJsmXL+Oyzz+jduzcbNmwgPj4eS0tLAMqUKcN7771H27ZtOXDgACdOnGDDhg1Ur169WOsWEREREREReVgpISwi8jfw+eef4+DgYHY988wzxvOmTZtiY2NjJH8TExNp0aIFDRo04I8//uDUqVMAbNmyhVatWpnNfejQoXxzDxkyBIAKFSowb948Jk6ciKurK61bt2bKlCmcPHnSbI7c3Fzi4+P5xz/+AVyrX7xt2zbjvQCTJk3CxcUFHx8fAgMDCQ8PZ9WqVeTm5uZb75w5czh69Chnz57l7bffLnBPgoKCiIyM5MMPPyQqKoqqVasaz86dO8ewYcPYuHEjderUoUqVKjzzzDMcOXKk0D3OysoiIyPD7BIRERERERF52CghLCLyN9CqVSv2799vdi1ZssR4Xrp0aRo2bGgkhLds2ULLli2xsrKiSZMmJCYmcvLkSVJSUvIlhAMDA/PNPXnyZOP5Sy+9xG+//UZCQgIhISGsXr2aGjVq8NVXXxl9vvrqKy5evGic5C1XrhxPPfUUS5cuNfp4eXnx7bffcujQIUaMGMHVq1fp378/7dq1y5cU/vDDDzGZTPzxxx/89NNPBe5JZmYmH330EaVLl2br1q1mz9LS0mjWrBmrVq3CxcWFyZMnM23aNI4ePVroHs+YMQNnZ2fj8vb2LrSviIiIiIiISEkx5eXl5ZV0ECIicv+Eh4dz/vx5Pv30U7P2xMREWrVqxblz53BxcWHChAl89NFHfPLJJ4SEhHDu3DksLS2ZNm0aR44coUWLFrzyyiucO3cOGxsbAKKiovj000/Zv39/sePJy8sjNDSUrKwstmzZAkCPHj1YvXq1UbIBrp0arlixIsnJyVhYFPz3l9u2baNZs2Z8/fXXRqL65MmT1K5dmwULFrB582Z27NjBvn37sLW1NRs7dOhQtmzZwocffkjjxo1577336NevX753tGzZ0qxsRmGysrLIysoy7jMyMvD29iY9PR0nJ6dbjhd5VOlL5R4t+lI5ERERkcdXRkYGzs7Ot/w9VCeERUQEuHaK+NixY6xYsYInn3zSSM42b96cLVu2kJiYaJSWuBsmk4lq1apx8eJFAM6ePctnn33GypUrzU4Z79u3j3PnzvHll18WOtf1mr7X58rNzSU8PJw2bdrQr18/5syZw4ULF5g4caLZuK+++oolS5awbNky6tSpw9SpU4mMjDRqKN+oOMlgAFtbW5ycnMwuERERERERkYeNVUkHICIiD4cmTZpga2vL/Pnzef311432Ro0akZaWxmeffcb48ePzjbt69Sq//fabWZvJZMLDw4P9+/czadIk+vbtS/Xq1bGxsWHLli0sXbqUsWPHArB8+XLKli1Ljx49MJlMZvO0b9+e999/n3bt2jF06FDKly9P69atqVixIqmpqUydOhU3NzdCQkIAmDt3Lj/88AM//PADAM7OzixZsoSOHTvy3HPP0ahRIzIyMoiIiGD06NE0bNgQgFdffZVPPvmEF154gf/+97/3blNF/gZ04lRERERE5NGiE8IiIgJAqVKlaNy4MRcuXKBly5ZGu62trdF+c/1ggB9++AEvLy+zq3LlygBUrFgRHx8foqOjeeKJJ6hfvz5z584lOjraSDovXbqULl265EsGAzz33HOsXbuWP/74g7Zt2/Ldd9/RvXt3qlatynPPPUepUqXYtGkTZcuW5ejRo7z++uvMnz8fT09PY47Q0FAGDBhAeHg4WVlZREZG4uzsTFRUlNHHwsKCuLg4vv76az744IN7tKMiIiIiIiIiDx/VEBYREbkPilu7SUREREREROReUA1hERERERERERERETGjhLCIiIiIiIiIiIjI34QSwiIiIiIiIiIiIiJ/E0oIi4j8DYSHh9O5c+d87YmJiZhMJn755Resra1ZuXKl2fPnn38ek8lEcnKyWbuPjw8TJkwAICoqCpPJlO+qVq2a0f/UqVP07t2b8uXLU6pUKSpWrEinTp346aef8sX04YcfYmlpyUsvvVTgWhYvXkydOnVwcHDAxcWFevXqMWPGDON5VFQUdevWLXQvWrZsSWRkZKHPb1yDk5MTDRs25LPPPiu0v4iIiIiIiMijxKqkAxARkZLn4OBAcHAwiYmJPP/880Z7YmIi3t7eJCYmEh4eDlxL7v7888+0bt3a6FejRg02btxoNqeV1bX/xGRnZ/PUU08RGBjImjVr8PLy4pdffmHdunWcP38+Xyzvv/8+Y8aM4b333iM2NpZSpUoZz5YuXUpkZCTz5s2jRYsWZGVlcfDgQb7//vt7uBsQFxdHu3btyMjIYMGCBXTr1o29e/dSq1ate/oekceBz7gvSjoEuQ3JMR1KOgQRERERKWFKCIuICACtWrVizZo1xv3hw4e5fPkyI0aMMEsIJyYmYmtrS0hIiNHXysoKT0/PAuf94YcfOHHiBJs2baJy5coAVK5cmaZNm+bre+rUKbZv387HH3/M5s2bWbNmDb179zaer127lh49ehAREWG01ahR467WXRAXFxc8PT3x9PRkypQpzJ07l82bNyshLCIiIiIiIo88lYwQERHgWkL4yJEjpKamArB582aefPJJWrduTWJiotFv8+bNhISEmJ3cLYqbmxsWFhb85z//IScnp8i+cXFxdOjQAWdnZ/7xj3/w/vvvmz339PTku+++4+eff769xd2hq1evGjHY2Ng8kHeKiIiIiIiI3E9KCIuI/E18/vnnODg4mF3PPPOM8bxp06bY2NgYyd/ExERatGhBgwYN+OOPPzh16hQAW7ZsoVWrVmZzHzp0KN/cQ4YMAaBChQrMmzePiRMn4urqSuvWrZkyZQonT540myM3N5f4+Hj+8Y9/ANfqF2/bts14L8CkSZNwcXHBx8eHwMBAwsPDWbVqFbm5ufd0r3r16oWDgwO2tra8+uqr+Pj40KNHjyLHZGVlkZGRYXaJiIiIiIiIPGyUEBYR+Zto1aoV+/fvN7uWLFliPC9dujQNGzY0EsJbtmyhZcuWWFlZ0aRJExITEzl58iQpKSn5EsKBgYH55p48ebLx/KWXXuK3334jISGBkJAQVq9eTY0aNfjqq6+MPl999RUXL16kffv2AJQrV46nnnqKpUuXGn28vLz49ttvOXToECNGjODq1av079+fdu3a3dOk8OzZs9m/fz/r1q2jevXqLFmyhDJlyhQ5ZsaMGTg7OxuXt7f3PYtHRERERERE5F5RDWERkb8Je3t7/P39zdp++eUXs/tWrVrx0Ucf8cMPP/DXX39Rv359AFq0aMHmzZvJzc2ldOnSPPHEE2bjbGxs8s19M0dHR8LCwggLC2Pq1KmEhoYydepUnnrqKeDal8n9+eef2NnZGWNyc3M5ePAg0dHRWFj8v7/DrFmzJjVr1mTYsGEMGTKEZs2aFXhy+U55enri7++Pv78/cXFxtG/fnh9//BF3d/dCx4wfP56RI0ca9xkZGUoKi4iIiIiIyENHJ4RFRMTQqlUrjh07xooVK3jyySextLQEoHnz5mzZsoXExESjtMTdMJlMVKtWjYsXLwJw9uxZPvvsM1auXGl2ynjfvn2cO3eOL7/8stC5qlevDmDMda81atSIBg0aMG3atCL72dra4uTkZHaJiIiIiIiIPGx0QlhERAxNmjTB1taW+fPn8/rrrxvtjRo1Ii0tjc8++4zx48fnG3f16lV+++03szaTyYSHhwf79+9n0qRJ9O3bl+rVq2NjY8OWLVtYunQpY8eOBWD58uWULVuWHj16YDKZzOZp374977//Pu3atWPo0KGUL1+e1q1bU7FiRVJTU5k6dSpubm6EhIQYY/766y/2799vNo+joyNVqlQB4MyZM/mee3l54eHhUeC+REZG0qVLF8aMGUOFChWK3kSRv5nkmA4lHYKIiIiIiNwGJYRFRMRQqlQpGjdubNQPvs7W1pbGjRuTmJhYYFmGH374AS8vL7M2W1tbLl++TMWKFfHx8SE6Oprk5GRMJpNx/+qrrwKwdOlSunTpki8ZDPDcc8/Rt29f/vjjD9q2bcvSpUtZuHAhZ8+epVy5coSEhLBp0ybKli1rjDl69Cj16tUzm6dNmzZs3LgRgBUrVrBixQqz51OmTOGNN94ocF/atWuHr68v06ZNY8GCBUXsoIiIiIiIiMjDzZSXl5dX0kGIiIg8bjIyMnB2diY9PV3lI0REREREROS+K+7voaohLCIiIiIiIiIiIvI3oYSwiIiIiIiIiIiIyN+EEsIiIvLICg8Pp3PnzkX28fHxYc6cOQ8kHhEREREREZGHnb5UTkREHnrJycn4+vqyb98+6tate1tjd+3ahb29/f0JTEREREREROQRo4SwiIg81tzc3Eo6BBGRh4bPuC9KOgR5BCTHdCjpEEREROQ+UskIERG5K2fOnMHT05Pp06cbbdu3b8fGxoZNmzZx4sQJOnXqhIeHBw4ODjRs2JCNGzeazeHj48P06dMZOHAgjo6OVKpUiUWLFhnPfX19AahXrx4mk4mWLVuajZ81axZeXl6ULVuWl156iezsbLO5bywZYTKZWLJkCV26dKF06dIEBASwdu1as/m+//57nnnmGRwcHPDw8KBv37788ccfd7tVIiIiIiIiIiVOCWEREbkrbm5uLF26lKioKHbv3s2FCxfo27cvw4cPp02bNmRmZtK+fXs2bdrEvn37aNeuHWFhYaSkpJjNExsbS3BwMPv27WPYsGEMHTqUI0eOALBz504ANm7cSGpqKmvWrDHGbd68mRMnTrB582aWLVtGfHw88fHxRcYcHR1Njx49OHjwIO3bt6dPnz78+eefAJw/f57WrVtTr149du/ezfr16/n999/p0aPHPdw1ERERERERkZKhhLCIiNy19u3bM3jwYPr06cOQIUOwt7dnxowZANSpU4cXX3yRmjVrEhAQwJQpU6hSpUq+U7nt27dn2LBh+Pv7M3bsWMqVK8fmzZuB/1f2oWzZsnh6elKmTBljnKurK++88w7VqlWjY8eOdOjQgU2bNhUZb3h4OL169cLf35/p06eTmZlpJJ3feecd6tWrx/Tp06lWrRr16tVj6dKlbN68maNHjxY6Z1ZWFhkZGWaXiIiIiIiIyMNGCWEREbknZs2axdWrV1m9ejUJCQnY2toCkJmZyahRowgKCsLFxQUHBwcOHz6c74Rw7dq1jZ9NJhOenp6kpaXd8r01atTA0tLSuPfy8rrluBvfZW9vj5OTkzHmwIEDbN68GQcHB+OqVq0aACdOnCh0zhkzZuDs7Gxc3t7et4xdRERERERE5EHTl8qJiMg9ceLECX799Vdyc3NJTk6mVq1aAIwaNYqvvvqKWbNm4e/vj52dHd26dePKlStm462trc3uTSYTubm5t3zvnYwrakxmZiZhYWG8+eab+cZ5eXkVOuf48eMZOXKkcZ+RkaGksIiIiIiIiDx0lBAWEZG7duXKFf7xj3/Qs2dPAgMDGTRoEIcOHcLd3Z2kpCTCw8Pp0qULcC3hmpycfFvz29jYAJCTk3OvQ8+nfv36fPzxx/j4+GBlVfz/TNra2hqnokVEREREREQeVkoIi4jIXXv99ddJT09n3rx5ODg48L///Y+BAwfy+eefExAQwJo1awgLC8NkMjFhwoRinfy9kbu7O3Z2dqxfv56KFStSqlQpnJ2d78taXnrpJRYvXkyvXr0YM2YMZcqU4fjx46xcuZIlS5aYlacQEXnUJMd0KOkQRERERKSEqYawiIjclcTERObMmcPy5ctxcnLCwsKC5cuXs3XrVhYuXMjbb7+Nq6srTZo0ISwsjNDQUOrXr39b77CysmLevHm89957lC9fnk6dOt2n1UD58uVJSkoiJyeHp59+mlq1ahEZGYmLiwsWFvrPpoiIiIiIiDzaTHl5eXklHYSIiMjjJiMjA2dnZ9LT03FycirpcEREREREROQxV9zfQ3XUSURERERERERERORvQglhERERERERERERkb8JJYRFROSRkZiYiMlk4vz584X2iY+Px8XFxbiPioqibt269z02ERERERERkUeBEsIiIvLIaNKkCampqTg7Oxd7zKhRo9i0adN9jEpERERERETk0WFV0gGIiIgUR3Z2NjY2Nnh6et7WOAcHBxwcHO5TVCIi957PuC/u29zJMR3u29wiIiIi8mjQCWERESkRPj4+zJkzx6ytbt26REVFAWAymVi4cCHPPvss9vb2TJs2rcCSEfHx8VSqVInSpUvTpUsXzp49azbnzSUjwsPD6dy5M7NmzcLLy4uyZcvy0ksvkZ2dbfTJyspi1KhRVKhQAXt7e5544gkSExPv8Q6IiIiIiIiIPHhKCIuIyEMrKiqKLl26cOjQIQYOHJjv+Y4dO4iIiGD48OHs37+fVq1aMXXq1FvOu3nzZk6cOMHmzZtZtmwZ8fHxxMfHG8+HDx/Ot99+y8qVKzl48CDdu3enXbt2HDt27F4uT0REREREROSBU8kIERF5aPXu3ZsBAwYY9ydPnjR7PnfuXNq1a8eYMWMAqFq1Ktu3b2f9+vVFzuvq6so777yDpaUl1apVo0OHDmzatInBgweTkpJCXFwcKSkplC9fHrhWh3j9+vXExcUxffr0AufMysoiKyvLuM/IyLijNYuIiIiIiIjcTzohLCIiD63g4OAinx8+fJgnnnjCrC0kJOSW89aoUQNLS0vj3svLi7S0NAAOHTpETk4OVatWNeoPOzg4sGXLFk6cOFHonDNmzMDZ2dm4vL29bxmHiIiIiIiIyIOmE8IiIlIiLCwsyMvLM2u7sY4vgL29/X15t7W1tdm9yWQiNzcXgMzMTCwtLdmzZ49Z0hgo8svpxo8fz8iRI437jIwMJYVFRERERETkoaOEsIiIlAg3NzdSU1ON+4yMDE6dOnVbcwQFBbFjxw6ztu++++6u4qpXrx45OTmkpaXRrFmzYo+ztbXF1tb2rt4tIiIiIiIicr8pISwiIiWidevWxMfHExYWhouLCxMnTsx3IvdWXnnlFZo2bcqsWbPo1KkTGzZsuGX94FupWrUqffr0oV+/fsTGxlKvXj3OnDnDpk2bqF27Nh06dLir+UVEbiU5Rv8/IyIiIiL3j2oIi4hIiRg/fjwtWrSgY8eOdOjQgc6dO1OlSpXbmqNx48YsXryYuXPnUqdOHb788kveeOONu44tLi6Ofv368dprrxEYGEjnzp3ZtWsXlSpVuuu5RUREREREREqSKe/mAo4iIiJy1zIyMnB2diY9PR0nJ6eSDkdEREREREQec8X9PVQnhEVERERERERERET+JpQQFhEREREREREREfmbUEJYRERERERERERE5G9CCWEREfnbCg8Pp3PnziUdhoiIiIiIiMgDY1XSAYiIiNxr2dnZWFtbl3QYIiIPHZ9xX5R0CIVKjulQ0iGIiIiI/C3ohLCIiDz0fHx8mDNnjllb3bp1iYqKAsBkMrFw4UKeffZZ7O3tmTZtGjk5OURERODr64udnR2BgYHMnTvXGB8VFcWyZcv47LPPMJlMmEwmEhMTATh9+jQ9evTAxcWFMmXK0KlTJ5KTkx/MYkVERERERETuI50QFhGRx0JUVBQxMTHMmTMHKysrcnNzqVixIqtXr6Zs2bJs376dF154AS8vL3r06MGoUaM4fPgwGRkZxMXFAVCmTBmys7MJDQ0lJCSErVu3YmVlxdSpU2nXrh0HDx7ExsamwPdnZWWRlZVl3GdkZDyQdYuIiIiIiIjcDiWERUTksdC7d28GDBhg1hYdHW387Ovry7fffsuqVavo0aMHDg4O2NnZkZWVhaenp9Hv3//+N7m5uSxZsgSTyQRAXFwcLi4uJCYm8vTTTxf4/hkzZpi9T0RERERERORhpJIRIiLyWAgODs7X9u6779KgQQPc3NxwcHBg0aJFpKSkFDnPgQMHOH78OI6Ojjg4OODg4ECZMmW4fPkyJ06cKHTc+PHjSU9PN67Tp0/f9ZpERERERERE7jWdEBYRkYeehYUFeXl5Zm3Z2dlm9/b29mb3K1euZNSoUcTGxhISEoKjoyMzZ85kx44dRb4rMzOTBg0akJCQkO+Zm5tboeNsbW2xtbW91VJERERERERESpQSwiIi8tBzc3MjNTXVuM/IyODUqVNFjklKSqJJkyYMGzbMaLv5hK+NjQ05OTlmbfXr1+ejjz7C3d0dJyenexC9iIiIiIiIyMNDCWEREXnotW7dmvj4eMLCwnBxcWHixIlYWloWOSYgIIAPPviADRs24Ovry/Lly9m1axe+vr5GHx8fHzZs2MCRI0coW7Yszs7O9OnTh5kzZ9KpUycmT55MxYoV+fnnn1mzZg1jxoyhYsWK93u5IiL3TXJMh5IOQURERERKmGoIi4jIQ2/8+PG0aNGCjh070qFDBzp37kyVKlWKHPPiiy/StWtXevbsyRNPPMHZs2fNTgsDDB48mMDAQIKDg3FzcyMpKYnSpUvzzTffUKlSJbp27UpQUBARERFcvnxZJ4ZFRERERETkkWfKu7koo4iIiNy1jIwMnJ2dSU9PVyJZRERERERE7rvi/h6qE8IiIiIiIiIiIiIifxNKCIuIiIiIiIiIiIj8TSghLCIiUgCTycSnn34KQHJyMiaTif3795doTCIiIiIiIiJ3y6qkAxAREXkYpaam4urqWtJhiIiIiIiIiNxTSgiLiMhjJTs7G2tr67uex9PT8x5EIyLycPEZ90VJh2BIjulQ0iGIiIiI/C2pZISIiDzUfHx8mDNnjllb3bp1iYqKAq6Vdli4cCHPPvss9vb2TJs2jZycHCIiIvD19cXOzo7AwEDmzp2bb+6lS5dSo0YNbG1t8fLyYvjw4cazG0tGiIiIiIiIiDwudEJYREQeeVFRUcTExDBnzhysrKzIzc2lYsWKrF69mrJly7J9+3ZeeOEFvLy86NGjBwALFy5k5MiRxMTE8Mwzz5Cenk5SUtIdx5CVlUVWVpZxn5GRcdfrEhEREREREbnXlBAWEZFHXu/evRkwYIBZW3R0tPGzr68v3377LatWrTISwlOnTuW1115jxIgRRr+GDRvecQwzZswwe6eIiIiIiIjIw0glI0RE5JEXHBycr+3dd9+lQYMGuLm54eDgwKJFi0hJSQEgLS2NX3/9lTZt2tyzGMaPH096erpxnT59+p7NLSIiIiIiInKv6ISwiIg81CwsLMjLyzNry87ONru3t7c3u1+5ciWjRo0iNjaWkJAQHB0dmTlzJjt27ADAzs7unsdpa2uLra3tPZ9XRERERERE5F5SQlhERB5qbm5upKamGvcZGRmcOnWqyDFJSUk0adKEYcOGGW0nTpwwfnZ0dMTHx4dNmzbRqlWrex+0iIiIiIiIyENKCWEREXmotW7dmvj4eMLCwnBxcWHixIlYWloWOSYgIIAPPviADRs24Ovry/Lly9m1axe+vr5Gn6ioKIYMGYK7uzvPPPMMFy5cICkpiZdffvl+L0lEpMQkx3Qo6RBEREREpIQpISwiIg+18ePHc+rUKTp27IizszNTpky55QnhF198kX379tGzZ09MJhO9evVi2LBhrFu3zujTv39/Ll++zOzZsxk1ahTlypWjW7du93s5IiIiIiIiIiXKlHdzYUYRERG5axkZGTg7O5Oeno6Tk1NJhyMiIiIiIiKPueL+HmrxAGMSERERERERERERkRKkhLCIiIiIiIiIiIjI34QSwiIicleioqKoW7fuA3lXeHg4nTt3LrJPy5YtiYyMNO59fHyYM2fOfY1LRERERERE5FGhL5UTEZFHxty5c7nd0ve7du3C3t7+PkUkIiIiIiIi8mhRQlhERB56OTk5mEwmnJ2db3usm5vbfYhIROTR5DPui5IOQeSBSY7pUNIhiIiIPJRUMkJE5BHSsmVLhg8fzvDhw3F2dqZcuXJMmDDBODW7YMECAgICKFWqFB4eHnTr1s0Ym5uby4wZM/D19cXOzo46derwn//8x3geHx+Pi4uL2fs+/fRTTCaTWVtMTAweHh44OjoSERHB5cuXzZ7n5uYyefJkKlasiK2tLXXr1mX9+vXG88TEREwmE+fPnzfa9u/fj8lkIjk52SyWtWvXUr16dWxtbUlJSclXMuLixYv069cPBwcHvLy8iI2NzbdnN5eMMJlMLFmyhC5dulC6dGkCAgJYu3at2Zjvv/+eZ555BgcHBzw8POjbty9//PFH/g9ERERERERE5BGjhLCIyCNm2bJlWFlZsXPnTubOncvbb7/NkiVL2L17N6+88gqTJ0/myJEjrF+/nubNmxvjZsyYwQcffMC//vUvfvjhB1599VX+8Y9/sGXLlmK/e9WqVURFRTF9+nR2796Nl5cXCxYsMOszd+5cYmNjmTVrFgcPHiQ0NJRnn32WY8eO3dY6L126xJtvvsmSJUv44YcfcHd3z9dn9OjRbNmyhc8++4wvv/ySxMRE9u7de8u5o6Oj6dGjBwcPHqR9+/b06dOHP//8E4Dz58/TunVr6tWrx+7du1m/fj2///47PXr0KHLOrKwsMjIyzC4RERERERGRh41KRoiIPGK8vb2ZPXs2JpOJwMBADh06xOzZs5k6dSr29vZ07NgRR0dHKleuTL169YBrycrp06ezceNGQkJCAPDz82Pbtm289957tGjRoljvnjNnDhEREURERAAwdepUNm7caHZKeNasWYwdO5bnn38egDfffJPNmzczZ84c3n333WKvMzs7mwULFlCnTp0Cn2dmZvL+++/z73//mzZt2gDXkuUVK1a85dzh4eH06tULgOnTpzNv3jx27txJu3bteOedd6hXrx7Tp083+i9duhRvb2+OHj1K1apVC5xzxowZREdHF3t9IiIiIiIiIiVBJ4RFRB4xjRs3NivjEBISwrFjx2jTpg2VK1fGz8+Pvn37kpCQwKVLlwA4fvw4ly5d4qmnnsLBwcG4PvjgA06cOFHsdx8+fJgnnnjCrO16ghkgIyODX3/9laZNm5r1adq0KYcPH76tddrY2FC7du1Cn584cYIrV66YxVOmTBkCAwNvOfeN89rb2+Pk5ERaWhoABw4cYPPmzWb7VK1aNeOdhRk/fjzp6enGdfr06VvGISIiIiIiIvKg6YSwiMhjwsHBgb1795KYmMiXX37JxIkTiYqKYteuXWRmZgLwxRdfUKFCBbNxtra2AFhYWBi1iK/Lzs6+53FaWFz7u8gb31XQe+zs7PLVL75XrK2tze5NJhO5ubnAtZPHYWFhvPnmm/nGeXl5FTqnra2tsZciIiIiIiIiDyudEBYRecTs2LHD7P67774jICAAS0tLrKysaNu2LW+99RYHDx4kOTmZr7/+2uyL2fz9/c0ub29vANzc3Lhw4QIXL1405t6/f7/Zu4KCggp8/3VOTk6UL1+epKQksz5JSUlUr17deA9Aampqoe8pjipVqmBtbW0Wz7lz5zh69Ohtz3Wj+vXr88MPP+Dj45Nvr+zt7e9qbhEREREREZGSphPCIiKPmJSUFEaOHMmLL77I3r17mT9/PrGxsXz++eecPHmS5s2b4+rqyv/+9z9yc3MJDAzE0dGRUaNG8eqrr5Kbm8uTTz5Jeno6SUlJODk50b9/f5544glKly7NP//5T1555RV27NhBfHy82btHjBhBeHg4wcHBNG3alISEBH744Qf8/PyMPqNHj2bSpElUqVKFunXrEhcXx/79+0lISAAwktBRUVFMmzaNo0ePEhsbe9v74ODgQEREBKNHj6Zs2bK4u7vz+uuvGyeQ79RLL73E4sWL6dWrF2PGjKFMmTIcP36clStXsmTJEiwtLe9qfhGRkpQc06GkQxARERGREqaEsIjII6Zfv3789ddfNGrUCEtLS0aMGMELL7xAUlISa9asISoqisuXLxMQEMCHH35IjRo1AJgyZQpubm7MmDGDkydP4uLiQv369fnnP/8JXKu/++9//5vRo0ezePFi2rRpQ1RUFC+88ILx7p49e3LixAnGjBnD5cuXee655xg6dCgbNmww+rzyyiukp6fz2muvkZaWRvXq1Vm7di0BAQHAtXINH374IUOHDqV27do0bNiQqVOn0r1799vei5kzZxolHhwdHXnttddIT0+/m+01TjiPHTuWp59+mqysLCpXrky7du3uOtksIiIiIiIiUtJMeTcXjBQRkYdWy5YtqVu3LnPmzCnpUOQWMjIycHZ2Jj09HScnp5IOR0RERERERB5zxf09VEedRERERERERERERP4mlBAWERERERERERER+ZtQQlhE5BGSmJj4ty8X0bJlSyIjI4vs4+PjY7ZPJpOJTz/99L7GJSIiIiIiIvIo0JfKiYjIQykxMZFWrVpx7tw5XFxcjPY1a9ZgbW19W3Olpqbi6up6jyMUERERERERefQoISwiIg9UXl4eOTk5WFnd2X+CypQpc9tjPD097+hdIiKPG59xX5R0CPKIS47pUNIhiIiIyF1SyQgREblrWVlZvPLKK7i7u1OqVCmefPJJdu3aBVw76WsymVi3bh0NGjTA1taWbdu2FTkmOTmZVq1aAeDq6orJZCI8PBzIXzIiLS2NsLAw7Ozs8PX1JSEhIV98N5aMSE5OxmQysWbNGlq1akXp0qWpU6cO3377rdmYbdu20axZM+zs7PD29uaVV17h4sWL93jnRERERERERB4sJYRFROSujRkzho8//phly5axd+9e/P39CQ0N5c8//zT6jBs3jpiYGA4fPkzt2rWLHOPt7c3HH38MwJEjR0hNTWXu3LkFvjs8PJzTp0+zefNm/vOf/7BgwQLS0tJuGfPrr7/OqFGj2L9/P1WrVqVXr15cvXoVgBMnTtCuXTuee+45Dh48yEcffcS2bdsYPnx4ofNlZWWRkZFhdomIiIiIiIg8bJQQFhGRu3Lx4kUWLlzIzJkzeeaZZ6hevTqLFy/Gzs6O999/3+g3efJknnrqKapUqYKtrW2RYywtLY3SEO7u7nh6euLs7Jzv3UePHmXdunUsXryYxo0b06BBA95//33++uuvW8Y9atQoOnToQNWqVYmOjubnn3/m+PHjAMyYMYM+ffoQGRlJQEAATZo0Yd68eXzwwQdcvny5wPlmzJiBs7OzcXl7e9/JdoqIiIiIiIjcV0oIi4jIXTlx4gTZ2dk0bdrUaLO2tqZRo0YcPnzYaAsODr7tMbdy+PBhrKysaNCggdFWrVo1sy+hK0zt2rWNn728vACMk8UHDhwgPj4eBwcH4woNDSU3N5dTp04VON/48eNJT083rtOnTxd7HSIiIiIiIiIPir5UTkREHgh7e/uSDsGMtbW18bPJZAIgNzcXgMzMTF588UVeeeWVfOMqVapU4Hy2trbY2treh0hFRERERERE7h0lhEVE5K5UqVIFGxsbkpKSqFy5MgDZ2dns2rXL7MvfbneMjY0NADk5OYW+u1q1aly9epU9e/bQsGFD4FrN4fPnz9/VmurXr8+PP/6Iv7//Xc0jIvKwSY7pUNIhiIiIiEgJU8kIERG5K/b29gwdOpTRo0ezfv16fvzxRwYPHsylS5eIiIi44zGVK1fGZDLx+eefc+bMGTIzM/PNExgYSLt27XjxxRfZsWMHe/bsYdCgQdjZ2d3VmsaOHcv27dsZPnw4+/fv59ixY3z22WdFfqmciIiIiIiIyKNACWEREblrMTExPPfcc/Tt25f69etz/PhxNmzYgKur6x2PqVChAtHR0YwbNw4PD49Ck7FxcXGUL1+eFi1a0LVrV1544QXc3d3vaj21a9dmy5YtHD16lGbNmlGvXj0mTpxI+fLl72peERERERERkZJmysvLyyvpIERERB43GRkZODs7k56ejpOTU0mHIyIiIiIiIo+54v4eqhPCIiIiIiIiIiIiIn8TSgiLiIiIiIiIiIiI/E0oISwiIo+8xMRETCYT58+fv61xycnJmEwm9u/ff1/iEhEREREREfn/2Lv3uB7v//Hjj3el47uzQweRQ6UURc5n2grlMJPFEMKGmUMOfTBhU4gPZieniiGzmfMymowYZQrTJzQttsbmUHJI6v37w6/r660kG2J73m+39+2263qdntd1vc2tZy/P60WjV9kBCCGEEI+i0WgoKipCT0/+uhJCiKfBcerOyg4BgKzI7pUdghBCCCHEv5bsEBZCCPFcFRQUMHbsWKpXr46hoSFt27YlOTkZ+L+dvt988w1NmzbFwMCAgwcPljsmKyuLTp06AWBpaYlKpSI4OBiA+Ph42rZti4WFBdbW1vj7+5OZmanEUqdOHQC8vLxQqVR07NhRaVu5ciWurq4YGhrSoEEDPv744+dwd4QQQgghhBBCiGdLEsJCCCGeq8mTJ/PVV18RGxvLjz/+SP369fH19eXq1atKn6lTpxIZGUl6ejqNGjUqd4yDgwNfffUVABkZGeTk5LBkyRIAbt68yYQJE0hJSSEhIQEdHR169+5NcXExAEePHgVg79695OTksHnzZgDWrVvHe++9xwcffEB6ejpz585lxowZxMbGPs9bJYQQQgghhBBCPHUqjUajqewghBBC/DvcvHkTS0tLYmJi6N+/PwCFhYU4Ojoybtw4mjVrRqdOndiyZQs9e/as0JhJkyaRmJhIp06duHbtGhYWFo9c/88//6RatWqcPHkSd3d3srKyqFOnDsePH8fT01PpV79+febMmUNQUJBy7v3332fXrl0cOnSozLkLCgooKChQjvPy8nBwcCA3NxczM7O/esuEEOKpkpIRQgghhBD/XHl5eZibmz/251DZISyEEOK5yczMpLCwkDZt2ijnqlSpQvPmzUlPT1fOeXt7P/GYspw9e5agoCDq1q2LmZkZjo6OAGRnZz9yzM2bN8nMzGTYsGGo1Wrl8/7772uVm3hYREQE5ubmysfBwaHc2IQQQgghhBBCiMogb+kRQgjxwjExMXkq8wQEBFC7dm1WrFiBnZ0dxcXFuLu7c/fu3UeOyc/PB2DFihW0aNFCq01XV/eR48LCwpgwYYJyXLJDWAghhBBCCCGEeJHIDmEhhBDPTb169dDX1ycpKUk5V1hYSHJyMm5ubn95jL6+PgBFRUVKnytXrpCRkcH06dPp0qULrq6uXLt2TWvussbVqFEDOzs7fv75Z+rXr6/1KXkJXVkMDAwwMzPT+gghhBBCCCGEEC8a2SEshBDiuTExMeHtt99m0qRJWFlZUatWLebPn8+tW7cYNmwYaWlpTzwGoHbt2qhUKnbs2EG3bt0wMjLC0tISa2trli9fjq2tLdnZ2UydOlVr7urVq2NkZER8fDw1a9bE0NAQc3NzZs2axdixYzE3N8fPz4+CggJSUlK4du2a1i5gIYR42UjtXiGEEEIIITuEhRBCPFeRkZH06dOHgQMH0qRJE86dO8fu3buxtLT8y2Ps7e2ZNWsWU6dOpUaNGowZMwYdHR3i4uI4duwY7u7ujB8/ngULFmjNq6enx9KlS/nss8+ws7NTXmQXEhLCypUriY6OxsPDgw4dOhATE1PuDmEhhBBCCCGEEOJloNJoNJrKDkIIIYT4p6no212FEEIIIYQQQoinoaI/h8oOYSGEEEIIIYQQQgghhPiXkISwEEIIIYQQQgghhBBC/EtIQlgIIV5C4eHheHp6PtU5g4OD6dWr19+aIysrC5VKRWpq6lOJ6WmIiYnBwsKissMQQgghhBBCCCFeCJIQFkL8owUHB6NSqYiMjNQ6v2XLFlQqlXKs0WiIiorC2dkZAwMD7O3t+eCDD553uBUWGhpKQkJCZYfxUujXrx9nzpyp7DCEEEIIIYQQQogXgl5lByCEEM+aoaEh8+bNY+TIkVhaWpbZ59133+Xbb78lKioKDw8Prl69ytWrV59zpBWnVqtRq9WVHcZLwcjICCMjo8oOQwghXgiOU3f+rfFZkd2fUiRCCCGEEKKyyA5hIcQ/no+PDzY2NkRERJTZnp6ezieffMLWrVvp0aMHderUoWnTprzyyivlzpuYmEjz5s0xMTHBwsKCNm3a8MsvvwBll18YN24cHTt2VI6Li4uZP38+9evXx8DAgFq1amntSr548SJBQUFYWVlhYmKCt7c3R44cAUqXjChZLyoqCltbW6ytrRk9ejSFhYUAzJ49G3d391LX4OnpyYwZM8q8vvj4eNq2bYuFhQXW1tb4+/uTmZmp1efo0aN4eXlhaGiIt7c3x48fLzXPqVOn6Nq1K2q1mho1ajBw4ED+/PNPpb1jx46MHTuWyZMnY2VlhY2NDeHh4VpzZGdn07NnT9RqNWZmZgQGBnLp0iWlPS0tjU6dOmFqaoqZmRlNmzYlJSUFKF0youTerV27FkdHR8zNzXnjjTe4ceOG1rOJiIigTp06GBkZ0bhxY7788ssy75MQQgghhBBCCPEykYSwEOIfT1dXl7lz5/Lhhx9y8eLFUu3bt2+nbt267Nixgzp16uDo6EhISEi5O4Tv3btHr1696NChAydOnODw4cOMGDFCqwzF44SFhREZGcmMGTM4ffo069evp0aNGgDk5+fToUMHfv31V7Zt20ZaWhqTJ0+muLj4kfPt27ePzMxM9u3bR2xsLDExMcTExAAwdOhQ0tPTSU5OVvofP36cEydOMGTIkDLnu3nzJhMmTCAlJYWEhAR0dHTo3bu3EkN+fj7+/v64ublx7NgxwsPDCQ0N1Zrj+vXrdO7cGS8vL1JSUoiPj+fSpUsEBgZq9YuNjcXExIQjR44wf/58Zs+ezZ49e4D7ydmePXty9epV9u/fz549e/j555/p16+fMn7AgAHUrFmT5ORkjh07xtSpU6lSpcoj71VmZiZbtmxhx44d7Nixg/3792uVFYmIiGDNmjV8+umn/PTTT4wfP54333yT/fv3P3JOIYQQQgghhBDiZSAlI4QQ/wq9e/fG09OTmTNnsmrVKq22n3/+mV9++YVNmzaxZs0aioqKGD9+PK+//jrfffddmfPl5eWRm5uLv78/9erVA8DV1bXC8dy4cYMlS5awbNkyBg8eDEC9evVo27YtAOvXr+ePP/4gOTkZKysrAOrXr1/unJaWlixbtgxdXV0aNGhA9+7dSUhIYPjw4dSsWRNfX1+io6Np1qwZANHR0XTo0IG6deuWOV+fPn20jlevXk21atU4ffo07u7urF+/nuLiYlatWoWhoSENGzbk4sWLvP3228qYZcuW4eXlxdy5c7XmcXBw4MyZMzg7OwPQqFEjZs6cCYCTkxPLli0jISGBV155hYSEBE6ePMn58+dxcHAAYM2aNTRs2JDk5GSaNWtGdnY2kyZNokGDBsoc5SkuLiYmJgZTU1MABg4cSEJCAh988AEFBQXMnTuXvXv30qpVKwDq1q3LwYMH+eyzz+jQoUOZcxYUFFBQUKAc5+XllRuDEEIIIYQQQghRGWSHsBDiX2PevHnExsaSnp6udb64uJiCggLWrFlDu3bt6NixI6tWrWLfvn1kZGSQnZ2t1OxVq9XMnTsXKysrgoOD8fX1JSAggCVLlpCTk1PhWNLT0ykoKKBLly5ltqempuLl5aUkgyuiYcOG6OrqKse2trZcvnxZOR4+fDgbNmzgzp073L17l/Xr1zN06NBHznf27FmCgoKoW7cuZmZmODo6AvfLN5RcQ6NGjTA0NFTGlCRQS6SlpbFv3z6t+1eStH2w/ESjRo20xj0Ye3p6Og4ODkoyGMDNzQ0LCwvlWU6YMIGQkBB8fHyIjIwsVdriYY6Ojkoy+OH1zp07x61bt3jllVe04l6zZk2580ZERGBubq58HoxXCCGEEEIIIYR4UUhCWAjxr9G+fXt8fX0JCwvTOm9ra4uenp6yWxX+b7dvdnY2dnZ2pKamKp+33noLuL/D9vDhw7Ru3ZqNGzfi7OzMDz/8AICOjg4ajUZrnZJ6vsBjX3L2V16C9nCJBJVKpVViIiAgAAMDA77++mu2b99OYWEhr7/++iPnCwgI4OrVq6xYsYIjR44o9Yvv3r1b4Zjy8/MJCAjQun+pqamcPXuW9u3bVzj2xwkPD+enn36ie/fufPfdd7i5ufH1118/sn956+Xn5wOwc+dOrZhPnz5dbh3hsLAwcnNzlc+FCxcqHL8QQgghhBBCCPG8SMkIIcS/SmRkJJ6enri4uCjn2rRpw71798jMzFTKP5w5cwaA2rVro6en98hyDV5eXnh5eREWFkarVq1Yv349LVu2pFq1apw6dUqrb2pqqpKIdHJywsjIiISEBEJCQkrN26hRI1auXMnVq1efaJdwefT09Bg8eDDR0dHo6+vzxhtvPDLxfOXKFTIyMlixYgXt2rUD4ODBg1p9XF1dWbt2LXfu3FF2CZckxEs0adKEr776CkdHR/T0/tpfOa6urly4cIELFy4ou25Pnz7N9evXcXNzU/o5Ozvj7OzM+PHjCQoKIjo6mt69ez/xem5ubhgYGJCdnf3I8hBlMTAwwMDA4InXE0IIIYQQQgghnidJCAsh/lU8PDwYMGAAS5cuVc75+PjQpEkThg4dyuLFiykuLmb06NG88sorWruGH3T+/HmWL19Ojx49sLOzIyMjg7NnzzJo0CAAOnfuzIIFC1izZg2tWrXi888/59SpU3h5eQFgaGjIlClTmDx5Mvr6+rRp04Y//viDn376iWHDhhEUFMTcuXPp1asXERER2Nracvz4cezs7EqVZXgSISEhyu7npKSkR/aztLTE2tqa5cuXY2trS3Z2NlOnTtXq079/f6ZNm8bw4cMJCwsjKyuLqKgorT6jR49mxYoVBAUFMXnyZKysrDh37hxxcXGsXLlSq8TFo/j4+CjPbfHixdy7d49Ro0bRoUMHvL29uX37NpMmTeL111+nTp06XLx4keTk5FI1kCvK1NSU0NBQxo8fT3FxMW3btiU3N5ekpCTMzMyUms9CCPEyyorsXtkhCCGEEEKISiYlI4QQ/zqzZ8/WKkego6PD9u3bqVq1Ku3bt6d79+64uroSFxf3yDmMjY353//+R58+fXB2dmbEiBGMHj2akSNHAuDr68uMGTOYPHkyzZo148aNG0qyuMSMGTOYOHEi7733Hq6urvTr10+pY6uvr8+3335L9erV6datGx4eHkRGRlYogVoeJycnWrduTYMGDWjRosUj++no6BAXF8exY8dwd3dn/PjxLFiwQKuPWq1m+/btnDx5Ei8vL6ZNm8a8efO0+tjZ2ZGUlERRURGvvvoqHh4ejBs3DgsLC3R0KvZXkEqlYuvWrVhaWtK+fXt8fHyoW7cuGzduBEBXV5crV64waNAgnJ2dCQwMpGvXrsyaNesJ787/mTNnDjNmzCAiIgJXV1f8/PzYuXMnderU+ctzCiGEEEIIIYQQLwKV5uEil0IIIf6xNBoNTk5OjBo1igkTJlR2OP9oeXl5mJubk5ubi5mZWWWHI4QQQgghhBDiH66iP4dKyQghhPiX+OOPP4iLi+P3339nyJAhlR2OEEIIIYQQQgghKoEkhIUQ4l+ievXqVK1aleXLl2NpaVnZ4QghhBBCCCGEEKISSA1hIcQzFxwcTK9evSo7jL/M0dGRxYsXl9snPDwcT0/P5xLPX6XRaPjjjz/o379/qbbExERUKhXXr1//W2t07NiRcePG/a05njaVSsWWLVsqOwwhhBBCCCGEEOKFIAlhIV4ywcHBqFQqIiMjtc5v2bIFlUqlHGs0GqKionB2dsbAwAB7e3s++OCD5x3uP5IkGF8uOTk5dO3atbLDEEIIIYQQQgghXghSMkKIl5ChoSHz5s1j5MiRj/yn/++++y7ffvstUVFReHh4cPXqVa5evfpc4ywqKtJKUgttd+/eRV9fv7LD+MezsbGp7BCEEOKF4Th1Z2WHIJ6hrMjulR2CEEIIIV4CskNYiJeQj48PNjY2RERElNmenp7OJ598wtatW+nRowd16tShadOmvPLKK4+de/Xq1TRs2BADAwNsbW0ZM2aM0rZo0SI8PDwwMTHBwcGBUaNGkZ+fr7THxMRgYWHBtm3bcHNzw8DAgOzsbKV91qxZVKtWDTMzM9566y3u3r2rtMXHx9O2bVssLCywtrbG39+fzMxMpT0rKwuVSsUXX3xBu3btMDIyolmzZpw5c4bk5GS8vb1Rq9V07dqVP/74QxlXXFzM7NmzqVmzJgYGBnh6ehIfH6+0d+7cWesa4f7L1/T19UlISCh1fxwdHQHo3bs3KpVKOS6xdu1aHB0dMTc354033uDGjRtKW8eOHRkzZgzjxo2jatWq+Pr6AnDq1Cm6du2KWq2mRo0aDBw4kD///FMZV1BQwNixY6levTqGhoa0bduW5ORkpb2k3ENCQgLe3t4YGxvTunVrMjIylHuno6NDSkqKVqyLFy+mdu3aFBcXl7rOK1euEBQUhL29PcbGxnh4eLBhwwatPjdv3mTQoEGo1WpsbW1ZuHBhqXkKCgoIDQ3F3t4eExMTWrRoQWJiotJe8p3ZvXs3rq6uqNVq/Pz8yMnJUfo87hnevXuXMWPGYGtri6GhIbVr19b6s/Hgju6S79HmzZvp1KkTxsbGNG7cmMOHD2vFffDgQeV75uDgwNixY7l582ap6xNCCCGEEEIIIV42khAW4iWkq6vL3Llz+fDDD7l48WKp9u3bt1O3bl127NhBnTp1cHR0JCQk5LE7hD/55BNGjx7NiBEjOHnyJNu2baN+/fpKu46ODkuXLuWnn34iNjaW7777jsmTJ2vNcevWLebNm8fKlSv56aefqF69OgAJCQmkp6eTmJjIhg0b2Lx5M7NmzVLG3bx5kwkTJpCSkkJCQgI6Ojr07t27VLJy5syZTJ8+nR9//BE9PT369+/P5MmTWbJkCQcOHODcuXO89957Sv8lS5awcOFCoqKiOHHiBL6+vvTo0YOzZ88CEBISwvr16ykoKFDGfP7559jb29O5c+dS96gkERsdHU1OTo5WYjYzM5MtW7awY8cOduzYwf79+0uV9oiNjUVfX5+kpCQ+/fRTrl+/TufOnfHy8iIlJYX4+HguXbpEYGCgMmby5Ml89dVXxMbG8uOPP1K/fn18fX1LPc9p06axcOFCUlJS0NPTY+jQocD9JLaPjw/R0dFa/aOjowkODkZHp/RfBXfu3KFp06bs3LmTU6dOMWLECAYOHMjRo0eVPpMmTWL//v1s3bqVb7/9lsTERH788UetecaMGcPhw4eJi4vjxIkT9O3bFz8/P+X+w/3vTFRUFGvXruX7778nOzub0NDQCj/DpUuXsm3bNr744gsyMjJYt25dqUT9w6ZNm0ZoaCipqak4OzsTFBTEvXv3lOfo5+dHnz59OHHiBBs3buTgwYOlfnEghBBCCCGEEEK8jFQajUZT2UEIISouODiY69evs2XLFlq1aoWbmxurVq1iy5Yt9O7dG41Gw1tvvUVMTAyenp4sWLCAoqIixo8fj6WlJd99990j57a3t2fIkCG8//77FYrlyy+/5K233lJ2s8bExDBkyBBSU1Np3LixVszbt2/nwoULGBsbA/Dpp58yadIkcnNzy0xI/vnnn1SrVo2TJ0/i7u5OVlYWderUYeXKlQwbNgyAuLg4goKCSEhIUJK3kZGRxMTE8L///U+5ptGjR/Of//xHmbt58+Y0a9aMjz76iDt37mBnZ8enn36qJGEbN27Ma6+9xsyZM4H7CdVx48YpL0tTqVR8/fXXWi/KCw8PZ8GCBfz++++YmpoC9xO533//PT/88ANwf4dwXl6eVtL0/fff58CBA+zevVs5d/HiRRwcHMjIyMDe3h5LS0tiYmKUl8EVFhYqMU2aNInExEQ6derE3r176dKlCwC7du2ie/fu3L59G0NDQ7744gveeustcnJyMDAw4Mcff8Tb25uff/4ZR0dHZY5r165hYWFR5vP29/enQYMGREVFkZ+fj7W1NZ9//jl9+/YF4OrVq9SsWZMRI0awePFisrOzqVu3LtnZ2djZ2Snz+Pj40Lx5c+bOnat8Z86dO0e9evUA+Pjjj5k9eza///57hZ7h2LFj+emnn9i7d2+ZJUoefF5lfY9Onz5Nw4YNSU9Pp0GDBoSEhKCrq8tnn32mzHHw4EE6dOjAzZs3MTQ0LPP+FBQUaP1iIS8vDwcHB3JzczEzMytzjBBCPG9SMuKfTUpGCCGEEP9ueXl5mJubP/bnUNkhLMRLbN68ecTGxpKenq51vri4mIKCAtasWUO7du3o2LEjq1atYt++fWRkZJCdnY1arVY+c+fO5fLly/z2229KQrEsJQlHe3t7TE1NGThwIFeuXOHWrVtKH319fRo1alRqbOPGjZVkMECrVq3Iz8/nwoULAJw9e5agoCDq1q2LmZmZssPzwZITgNbcNWrUAMDDw0Pr3OXLl4H7/yP87bffaNOmjdYcbdq0Ue6ZoaEhAwcOZPXq1QD8+OOPnDp1iuDg4Efeh0dxdHRUksEAtra2SiwlmjZtqnWclpbGvn37tJ5HgwYNgPs7VTMzMyksLNS6hipVqtC8efNSz/3Be2NrawugrN+rVy90dXX5+uuvgfvJ+06dOj1yJ21RURFz5szBw8MDKysr1Go1u3fvVp5HZmYmd+/epUWLFsoYKysrXFxclOOTJ09SVFSEs7Oz1vXt379fqxyIsbGxkgx++L5V5BkGBweTmpqKi4sLY8eO5dtvvy3zmip6r9LS0oiJidGK2dfXl+LiYs6fP//IOSMiIjA3N1c+Dg4Oj41DCCGEEEIIIYR43uSlckK8xNq3b4+vry9hYWFaCUxbW1v09PRwdnZWzrm6ugL3E6ydOnUiNTVVabOysqJKlSrlrpWVlYW/vz9vv/02H3zwAVZWVhw8eJBhw4Zx9+5dJdlrZGT0l14kFxAQQO3atVmxYgV2dnYUFxfj7u6uVWcY0IqzZJ2Hz5VVE7c8ISEheHp6cvHiRaKjo+ncuTO1a9d+4mt4+B6WFYuJiYnWcX5+PgEBAcybN6/UfLa2tlqJ0ydZv+TelKyvr6/PoEGDiI6O5rXXXmP9+vUsWbLkkXMtWLCAJUuWsHjxYqVu9Lhx40o9j/Lk5+ejq6vLsWPH0NXV1WpTq9Vlxl0S+5P845UmTZpw/vx5vvnmG/bu3UtgYCA+Pj58+eWXjxxT3r3Kz89n5MiRjB07ttS4WrVqPXLOsLAwJkyYoByX7BAWQgghhBBCCCFeJJIQFuIlFxkZiaenp9bOzDZt2nDv3j0yMzOVnZdnzpwBoHbt2ujp6WnVBi7h6OhIQkICnTp1KtV27NgxiouLWbhwoVLi4YsvvqhwnGlpady+fRsjIyMAfvjhB9RqNQ4ODly5coWMjAxWrFhBu3btgPv/RP/vMjMzw87OjqSkJDp06KCcT0pKonnz5sqxh4cH3t7erFixgvXr17Ns2bJy561SpQpFRUV/Oz64n8z86quvcHR0RE+v9P+S69Wrp9QcLklSFxYWkpycrJSwqKiQkBDc3d35+OOPuXfvHq+99toj+yYlJdGzZ0/efPNN4H6y9MyZM7i5uSlxValShSNHjihJ0mvXrnHmzBnlXnt5eVFUVMTly5eV5/qkKvoMzczM6NevH/369eP111/Hz8+Pq1evYmVl9cRrNmnShNOnT5f5Z6Q8BgYGGBgYPPF6QgghhBBCCCHE8yQJYSFech4eHgwYMIClS5cq53x8fGjSpAlDhw5l8eLFFBcXM3r0aF555RWtXcMPCw8P56233qJ69ep07dqVGzdukJSUxDvvvEP9+vUpLCzkww8/JCAgQHkpWkXdvXuXYcOGMX36dLKyspg5cyZjxoxBR0cHS0tLrK2tWb58Oba2tmRnZzN16tS/dV9KTJo0iZkzZ1KvXj08PT2Jjo4mNTWVdevWafULCQlhzJgxmJiY0Lt373LnLEmct2nTBgMDAywtLf9yfKNHj2bFihUEBQUxefJkrKysOHfuHHFxcaxcuRITExPefvttJk2ahJWVFbVq1WL+/PncunVLqYFbUa6urrRs2ZIpU6YwdOhQJTlfFicnJ7788ksOHTqEpaUlixYt4tKlS0pCWK1WM2zYMCZNmoS1tTXVq1dn2rRpWvWgnZ2dGTBgAIMGDWLhwoV4eXnxxx9/kJCQQKNGjejevWJ1Dh/3DBctWoStrS1eXl7o6OiwadMmbGxsHlkL+XGmTJlCy5YtGTNmDCEhIZiYmHD69Gn27Nnz2F8WCCHEi05qzAohhBBCCKkhLMQ/wOzZs7VKE+jo6LB9+3aqVq1K+/bt6d69O66ursTFxZU7z+DBg1m8eDEff/wxDRs2xN/fn7NnzwL3awAvWrSIefPm4e7uzrp164iIiKhwjF26dMHJyYn27dvTr18/evToQXh4uBJvXFwcx44dw93dnfHjx7NgwYInvxFlGDt2LBMmTGDixIl4eHgQHx/Ptm3bcHJy0uoXFBSEnp4eQUFBj3xpWImFCxeyZ88eHBwc8PLy+lvxlex+LSoq4tVXX8XDw4Nx48ZhYWGhJFcjIyPp06cPAwcOpEmTJpw7d47du3f/pUR0SYmPoUOHlttv+vTpNGnSBF9fXzp27IiNjY3WS/TgflmJdu3aERAQgI+PD23bti1VIzk6OppBgwYxceJEXFxc6NWrF8nJyeWWXnjY456hqakp8+fPx9vbm2bNmpGVlcWuXbvKfFlhRTRq1Ij9+/dz5swZ2rVrh5eXF++9957Wi/GEEEIIIYQQQoiXlUrzJIUahRDiHyorK4t69eqRnJxMkyZNKjucZ2bOnDls2rSJEydOVHYo/3gVfburEEIIIYQQQgjxNFT051ApGSGE+FcrLCzkypUrTJ8+nZYtW/5jk8H5+flkZWWxbNky3n///coORwghhBBCCCGEEJVESkYIIf7VkpKSsLW1JTk5+YlqIr9sxowZQ9OmTenYseNjy0UIIYQQQgghhBDin0sSwkKIf7WOHTui0WjIyMjAw8OjssN5ZmJiYigoKGDjxo3o6uo+kzUSExNRqVRcv379mcxfQqVSsWXLlke2Z2VloVKpSE1Nfa5xCSGEEEIIIYQQLwNJCAshxDMQHByMSqUiMjJS6/yWLVtQqVSl+p87dw5TU1MsLCyeU4Tle1zS9XkIDw/H09Oz1PmcnBy6du1a4Xlat25NTk4O5ubmTzE6IYQQQgghhBDi5SQ1hIUQ4hkxNDRk3rx5jBw5EktLy0f2KywsJCgoiHbt2nHo0KHnGOHLycbG5on66+vrP/EYIYT4p3KcurOyQxDimcqK7F7ZIQghhBAvPNkhLIQQz4iPjw82NjZERESU22/69Ok0aNCAwMDACs0bHx9P27ZtsbCwwNraGn9/fzIzM7X6XLx4kaCgIKysrDAxMcHb25sjR44o7Vu3bqVJkyYYGhpSt25dZs2axb179wBwdHQEoHfv3qhUKhwdHcnKykJHR4eUlBStdRYvXkzt2rUpLi4uM9akpCQ6duyIsbExlpaW+Pr6cu3aNdasWYO1tTUFBQVa/Xv16sXAgQOJiYlh1qxZpKWloVKpUKlUxMTEAKV3Lx89ehQvLy8MDQ3x9vbm+PHjWnM+XDIiJiYGCwsLdu/ejaurK2q1Gj8/P3JycrTGrVy5EldXVwwNDWnQoAEff/zxox+KEEIIIYQQQgjxkpCEsBBCPCO6urrMnTuXDz/8kIsXL5bZ57vvvmPTpk189NFHFZ735s2bTJgwgZSUFBISEtDR0aF3795KUjY/P58OHTrw66+/sm3bNtLS0pg8ebLSfuDAAQYNGsS7777L6dOn+eyzz4iJieGDDz4AIDk5GYDo6GhycnJITk7G0dERHx8foqOjtWKJjo4mODgYHZ3Sf52kpqbSpUsX3NzcOHz4MAcPHiQgIICioiL69u1LUVER27ZtU/pfvnyZnTt3MnToUPr168fEiRNp2LAhOTk55OTk0K9fv1Jr5Ofn4+/vj5ubG8eOHSM8PJzQ0NDH3sNbt24RFRXF2rVr+f7778nOztYat27dOt577z0++OAD0tPTmTt3LjNmzCA2NvaRcxYUFJCXl6f1EUIIIYQQQgghXjRSMkIIIZ6h3r174+npycyZM1m1apVW25UrVwgODubzzz/HzMyswnP26dNH63j16tVUq1aN06dP4+7uzvr16/njjz9ITk7GysoKgPr16yv9Z82axdSpUxk8eDAAdevWZc6cOUyePJmZM2dSrVo1ACwsLLRKLYSEhPDWW2+xaNEiDAwM+PHHHzl58iRbt24tM8758+fj7e2ttbO2YcOGyn/379+f6Oho+vbtC8Dnn39OrVq16NixIyqVCrVajZ6eXrnlHtavX09xcTGrVq3C0NCQhg0bcvHiRd5+++1y72FhYSGffvop9erVA2DMmDHMnj1baZ85cyYLFy7ktddeA6BOnTpK8rzkvj0sIiKCWbNmlbuuEEIIIYQQQghR2WSHsBBCPGPz5s0jNjaW9PR0rfPDhw+nf//+tG/fvsxxBw4cQK1WK59169YBcPbsWYKCgqhbty5mZmZKiYfs7Gzg/s5cLy8vJRn8sLS0NGbPnq019/Dhw8nJyeHWrVuPvI5evXqhq6vL119/DdwvvdCpUydl/YeV7BB+lOHDh/Ptt9/y66+/KvOVvIyvotLT02nUqBGGhobKuVatWj12nLGxsZIMBrC1teXy5cvA/R3YmZmZDBs2TOsevf/++6VKczwoLCyM3Nxc5XPhwoUKX4cQQgghhBBCCPG8yA5hIYR4xtq3b4+vry9hYWEEBwcr57/77ju2bdtGVFQUABqNhuLiYvT09Fi+fDlBQUGkpqYq/WvUqAFAQEAAtWvXZsWKFdjZ2VFcXIy7uzt3794FwMjIqNx48vPzmTVrlrL79UEPJlYfpq+vz6BBg4iOjua1115j/fr1LFmy5JH9HxeHl5cXjRs3Zs2aNbz66qv89NNP7Nz5fF52VKVKFa1jlUqFRqMB7t8fgBUrVtCiRQutfrq6uo+c08DAAAMDg6ccqRBCCCGEEEII8XRJQlgIIZ6DyMhIPD09cXFxUc4dPnyYoqIi5Xjr1q3MmzePQ4cOYW9vj5GRkVapB7hfZiIjI4MVK1bQrl07AA4ePKjVp1GjRqxcuZKrV6+WuUu4SZMmZGRklJr7QVWqVNGKrURISAju7u58/PHH3Lt3r8yk8oNxJCQklFtGISQkhMWLF/Prr7/i4+ODg4OD0qavr19mDA9ydXVl7dq13LlzR0lm//DDD+WOeZwaNWpgZ2fHzz//zIABA/7WXEIIIYQQQgghxItGEsJCCPEceHh4MGDAAJYuXaqcc3V11eqTkpKCjo4O7u7uj5zH0tISa2trli9fjq2tLdnZ2UydOlWrT1BQEHPnzqVXr15ERERga2vL8ePHsbOzo1WrVrz33nv4+/tTq1YtXn/9dXR0dEhLS+PUqVO8//77ADg6OpKQkECbNm0wMDDA0tJSiblly5ZMmTKFoUOHlrsLOCwsDA8PD0aNGsVbb72Fvr4++/bto2/fvlStWhW4X0c4NDSUFStWsGbNGq3xjo6OnD9/ntTUVGrWrImpqWmpHbj9+/dn2rRpDB8+nLCwMLKyspQd13/HrFmzGDt2LObm5vj5+VFQUEBKSgrXrl1jwoQJf3t+IYSoLFmR3Ss7BCGEEEIIUcmkhrAQQjwns2fPpri4+G/NoaOjQ1xcHMeOHcPd3Z3x48ezYMECrT76+vp8++23VK9enW7duuHh4UFkZKRS7sDX15cdO3bw7bff0qxZM1q2bMl///tfateurcyxcOFC9uzZg4ODA15eXlrzDxs2jLt37zJ06NByY3V2dubbb78lLS2N5s2b06pVK7Zu3Yqe3v/9LtLc3Jw+ffqgVqvp1auX1vg+ffrg5+dHp06dqFatGhs2bCi1hlqtZvv27Zw8eRIvLy+mTZvGvHnzKnQvyxMSEsLKlSuJjo7Gw8ODDh06EBMTQ506df723EIIIYQQQgghRGVSaUqKJgohhBAVMGfOHDZt2sSJEyeeynxdunShYcOGWrun/wny8vIwNzcnNzcXMzOzyg5HCCGEEEIIIcQ/XEV/DpWSEUIIISokPz+frKwsli1bppSW+DuuXbtGYmIiiYmJfPzxx08hQiGEEEIIIYQQQjyOJISFEEJUyJgxY9iwYQO9evV6bLmIivDy8uLatWvMmzdP62V7QgghhBBCCCGEeHakhrAQQvwFiYmJqFQqrl+/DkBMTAwWFhaVFo9KpWLLli3PdI6YmBgKCgrYuHGjUo/478jKyiI3N5fQ0NC/PVd5wsPD8fT0fKZrCCGEEEIIIYQQLwtJCAshnpvg4GBUKhWRkZFa57ds2YJKpQLuJ1p79uyJra0tJiYmeHp6sm7dunLnzcrKQqVSUb16dW7cuKHV5unpSXh4OACFhYVMmTIFDw8PTExMsLOzY9CgQfz2229/+9r69evHmTNn/vY8jyPJzScXGhpKQkJCZYchhBBCCCGEEEK8EKRkhBDiuTI0NGTevHmMHDkSS0vLUu2HDh2iUaNGTJkyhRo1arBjxw4GDRqEubk5/v7+5c5948YNoqKimDVrVpntt27d4scff2TGjBk0btyYa9eu8e6779KjRw9SUlL+1nUZGRlhZGT0t+YQz4ZarUatVld2GEII8UJwnLqzskMgK7J7ZYcghBBCCPGvJjuEhRDPlY+PDzY2NkRERJTZ/p///Ic5c+bQunVr6tWrx7vvvoufnx+bN29+7NzvvPMOixYt4vLly2W2m5ubs2fPHgIDA3FxcaFly5YsW7aMY8eOkZ2dXe7cu3btwtnZGSMjIzp16kRWVpZW+8MlI0p28q5evZpatWqhVqsZNWoURUVFzJ8/HxsbG6pXr84HH3ygNc/169cJCQmhWrVqmJmZ0blzZ9LS0pQ1Zs2aRVpaGiqVCpVKRUxMjDL2zz//pHfv3hgbG+Pk5MS2bdsA0Gg01K9fn6ioKK21UlNTUalUnDt3rsxrPnToEJ6enhgaGuLt7a3s5E5NTS3zmkF7tzdAZmYmPXv2pEaNGqjVapo1a8bevXu1xjg6OjJ37lyGDh2KqakptWrVYvny5Vp9Tp48SefOnTEyMsLa2poRI0aQn5+vtCcmJtK8eXNMTEywsLCgTZs2/PLLL1rPokRwcDC9evUiKioKW1tbrK2tGT16NIWFhUqfgoICQkNDsbe3x8TEhBYtWpCYmFjmfRJCCCGEEEIIIV4mkhAWQjxXurq6zJ07lw8//JCLFy9WaExubi5WVlaP7RcUFET9+vWZPXt2hePJzc1FpVKVW//3woULvPbaawQEBJCamkpISAhTp0597NyZmZl88803xMfHs2HDBlatWkX37t25ePEi+/fvZ968eUyfPp0jR44oY/r27cvly5f55ptvOHbsGE2aNKFLly5cvXqVfv36MXHiRBo2bEhOTg45OTn069dPGTtr1iwCAwM5ceIE3bp1Y8CAAVy9ehWVSsXQoUOJjo7Wii86Opr27dtTv379UrHn5eUREBCAh4cHP/74I3PmzGHKlCkVuKPa8vPz6datGwkJCRw/fhw/Pz8CAgJKJeAXLlyIt7c3x48fZ9SoUbz99ttkZGQAcPPmTXx9fbG0tCQ5OZlNmzaxd+9exowZA8C9e/fo1asXHTp04MSJExw+fJgRI0ZoJaYftm/fPjIzM9m3bx+xsbHExMRoJdfHjBnD4cOHiYuL48SJE/Tt2xc/Pz/Onj37yDkLCgrIy8vT+gghhBBCCCGEEC8aSQgLIZ673r174+npycyZMx/b94svviA5OZkhQ4Y8tm9JfeLly5eTmZn52P537txhypQpBAUFYWZm9sh+n3zyCfXq1WPhwoW4uLgwYMAAgoODHzt/cXExq1evxs3NjYCAADp16kRGRgaLFy/GxcWFIUOG4OLiwr59+wA4ePAgR48eZdOmTXh7e+Pk5ERUVBQWFhZ8+eWXGBkZoVar0dPTw8bGBhsbG60yFcHBwUpSfO7cueTn53P06FGlLSMjQzkuLCxk/fr1DB06tMzY169fj0qlYsWKFbi5udG1a1cmTZr02Gt+WOPGjRk5ciTu7u44OTkxZ84c6tWrp+xeLtGtWzdGjRpF/fr1mTJlClWrVlXuy/r167lz5w5r1qzB3d2dzp07s2zZMtauXculS5fIy8sjNzcXf39/6tWrh6urK4MHD6ZWrVqPjMvS0pJly5bRoEED/P396d69u1JnODs7m+joaDZt2kS7du2oV68eoaGhtG3btlRS/UERERGYm5srHwcHhye+X0IIIYQQQgghxLMmCWEhRKWYN28esbGxpKenP7LPvn37GDJkCCtWrKBhw4YVmtfX15e2bdsyY8aMcvsVFhYSGBiIRqPhk08+Uc537dpVqTlbsmZ6ejotWrTQGt+qVavHxuLo6IipqalyXKNGDdzc3NDR0dE6V1LiIi0tjfz8fKytrZUY1Go158+fr1CCu1GjRsp/m5iYYGZmpsxtZ2dH9+7dWb16NQDbt2+noKCAvn37ljlXRkYGjRo1wtDQUDnXvHnzx8bwsPz8fEJDQ3F1dcXCwgK1Wk16enqpHcIPxq5SqbCxsVFiT09Pp3HjxpiYmCh92rRpQ3FxMRkZGVhZWREcHIyvry8BAQEsWbKEnJyccuNq2LAhurq6yrGtra2y3smTJykqKsLZ2VnrOezfv7/c5xAWFkZubq7yuXDhQsVvlBBCCCGEEEII8ZzIS+WEEJWiffv2+Pr6EhYWVuZu2/379xMQEMB///tfBg0a9ERzR0ZG0qpVq0fuaC1JBv/yyy989913WruDV65cye3btwGoUqXKE637sIfHq1SqMs8VFxcD95Ontra2ZdaqLa+kRXnrlcwNEBISwsCBA/nvf/9LdHQ0/fr1w9jYuIJXU5qOjg4ajUbr3IN1eAFCQ0PZs2cPUVFR1K9fHyMjI15//XXu3r37RLE/TnR0NGPHjiU+Pp6NGzcyffp09uzZQ8uWLcvs/7jnoKury7Fjx7SSxkC5L6czMDDAwMCgwjELIYQQQgghhBCVQRLCQohKExkZiaenJy4uLlrnExMT8ff3Z968eYwYMeKJ523evDmvvfZamXV+S5LBZ8+eZd++fVhbW2u129vblxrj6upaqsTBDz/88MRxPU6TJk34/fff0dPTw9HRscw++vr6FBUV/aX5u3XrhomJCZ988gnx8fF8//33j+zr4uLC559/TkFBgZLkTE5O1upTrVo1bty4wc2bN5XduyUvnCuRlJREcHAwvXv3Bu4nWx9+Id/juLq6EhMTo7VOUlISOjo6Wt8dLy8vvLy8CAsLo1WrVqxfv/6RCeHyeHl5UVRUxOXLl2nXrt0TjxdCCCGEEEIIIV5kkhAWQlQaDw8PBgwYwNKlS5Vz+/btw9/fn3fffZc+ffrw+++/A/cToRV5sVyJDz74gIYNG6Kn93//myssLOT111/nxx9/ZMeOHRQVFSnzW1lZoa+vX+Zcb731FgsXLmTSpEmEhIRw7NgxrReQPS0+Pj60atWKXr16MX/+fJydnfntt9/YuXMnvXv3xtvbG0dHR86fP09qaio1a9bE1NS0wrtSdXV1CQ4OJiwsDCcnp3LLXvTv359p06YxYsQIpk6dSnZ2NlFRUQDKy9patGiBsbEx//nPfxg7dixHjhwpdV+cnJzYvHkzAQEBqFQqZsyY8UQ7fwEGDBjAzJkzGTx4MOHh4fzxxx+88847DBw4kBo1anD+/HmWL19Ojx49sLOzIyMjg7Nnzz7xzvISzs7ODBgwgEGDBrFw4UK8vLz4448/SEhIoFGjRnTv3v0vzSuEEC+CrEj5f5gQQgghxL+d1BAWQlSq2bNnayUIY2NjuXXrFhEREdja2iqf1157TemTmJiISqUqd6eps7MzQ4cO5c6dO8q5X3/9lW3btnHx4kU8PT215j906NAj56pVqxZfffUVW7ZsoXHjxnz66afMnTv37114GVQqFbt27aJ9+/YMGTIEZ2dn3njjDX755Rdq1KgBQJ8+ffDz86NTp05Uq1aNDRs2PNEaw4YN4+7du499SZ+ZmRnbt28nNTUVT09Ppk2bxnvvvQeg1BW2srLi888/Z9euXXh4eLBhwwbCw8O15lm0aBGWlpa0bt2agIAAfH19adKkyRPFbGxszO7du7l69SrNmjXj9ddfp0uXLixbtkxp/9///kefPn1wdnZmxIgRjB49mpEjRz7ROg+Kjo5m0KBBTJw4ERcXF3r16kVycnK5L6oTQgghhBBCCCFeBirNwwUghRDiBRcdHc3cuXM5ffr0367z+29z4MABunTpwoULF5Qkc0WtW7eOIUOGkJubi5GR0TOK8J8jLy8Pc3NzcnNztepUCyGEEEIIIYQQz0JFfw6VkhFCiJfOrl27mDt3riSDn0BBQQF//PEH4eHh9O3bt0LJ4DVr1lC3bl3s7e1JS0tjypQpBAYGSjJYCCGEEEIIIYR4iUlCWAjx0tm0aVNlh/DS2bBhA8OGDcPT05M1a9ZUaMzvv//Oe++9x++//46trS19+/blgw8+eMaRCiGEEEIIIYQQ4lmSGsJCCPEvEBwcTFFREceOHcPe3r5CYwIDA/nll1/44YcfOH/+PP/9738xNjZ+onWzsrJQqVSkpqYC/1f/+fr16094BX+dSqViy5Ytz209IYQQQgghhBDiRSYJYSGEeMqCg4NRqVRERkZqnd+yZQsqlQqAO3fuEBwcjIeHB3p6evTq1asSIv0/wcHBzyWG1q1bk5OTg7m5+TNfq0ROTg5du3Z9busJIYQQQgghhBAvMikZIYQQz4ChoSHz5s1j5MiRWFpalmovKirCyMiIsWPH8tVXX1VChJVDX18fGxub57rm815PCCFeZI5Td1Z2CP86WZHdKzsEIYQQQggtskNYCCGeAR8fH2xsbIiIiCiz3cTEhE8++YThw4c/UcKyZCfv3LlzqVGjBhYWFsyePZt79+4xadIkrKysqFmzJtHR0VrjLly4QGBgIBYWFlhZWdGzZ0+ysrIACA8PJzY2lq1bt6JSqVCpVCQmJipjf/75Zzp16oSxsTGNGzfm8OHDANy8eRMzMzO+/PJLrbW2bNmCiYkJN27cKBX/wyUjYmJisLCwYPfu3bi6uqJWq/Hz8yMnJ0cZU1xczOzZs6lZsyYGBgZ4enoSHx+vtN+9e5cxY8Zga2uLoaEhtWvX1rrvD5aMKClhsXnz5jKvqcTBgwdp164dRkZGODg4MHbsWG7evFmxhySEEEIIIYQQQrzAJCEshBDPgK6uLnPnzuXDDz/k4sWLT3Xu7777jt9++43vv/+eRYsWMXPmTPz9/bG0tOTIkSO89dZbjBw5Ulm3sLAQX19fTE1NOXDgAElJSUri9e7du4SGhhIYGKgkYnNycmjdurWy3rRp0wgNDSU1NRVnZ2eCgoK4d+8eJiYmvPHGG6WSz9HR0bz++uuYmppW6Hpu3bpFVFQUa9eu5fvvvyc7O5vQ0FClfcmSJSxcuJCoqChOnDiBr68vPXr04OzZswAsXbqUbdu28cUXX5CRkcG6detwdHQsd81HXRNAZmYmfn5+9OnThxMnTrBx40YOHjzImDFjyp2zoKCAvLw8rY8QQgghhBBCCPGikYSwEEI8I71798bT05OZM2c+1XmtrKxYunQpLi4uDB06FBcXF27dusV//vMfnJycCAsLQ19fn4MHDwKwceNGiouLWblyJR4eHri6uhIdHU12djaJiYmo1WqMjIwwMDDAxsYGGxsb9PX1lfVCQ0Pp3r07zs7OzJo1i19++YVz584BEBISwu7du5UdvZcvX2bXrl0MHTq0wtdTWFjIp59+ire3N02aNGHMmDEkJCQo7VFRUUyZMoU33ngDFxcX5s2bh6enJ4sXLwYgOzsbJycn2rZtS+3atWnbti1BQUHlrlneNUVERDBgwADGjRuHk5MTrVu3ZunSpaxZs4Y7d+48cs6IiAjMzc2Vj4ODQ4XvgRBCCCGEEEII8bxIQlgIIZ6hefPmERsbS3p6+hONy87ORjz4E64AAQAASURBVK1WK5+5c+cqbQ0bNkRH5//+912jRg08PDyUY11dXaytrbl8+TIAaWlpnDt3DlNTU2U+Kysr7ty5Q2Zm5mNjadSokfLftra2AMrczZs3p2HDhsTGxgLw+eefU7t2bdq3b1/hazU2NqZevXpaa5TMn5eXx2+//UabNm20xrRp00a5p8HBwaSmpuLi4sLYsWP59ttv/9Y1paWlERMTo3X/fX19KS4u5vz584+cMywsjNzcXOVz4cKFCt4BIYQQQgghhBDi+ZGXygkhxDPUvn17fH19CQsLIzg4uMLj7OzsSE1NVY6trKyU/65SpYpWX5VKVea54uJiAPLz82natCnr1q0rtU61atUeG8uDc6tUKgBlbri/S/ijjz5i6tSpREdHM2TIEKVfRZQVu0ajqfD4Jk2acP78eb755hv27t1LYGAgPj4+pWobP2rNh68pPz+fkSNHMnbs2FLjatWq9cg5DQwMMDAwqHDcQgghhBBCCCFEZZCEsBBCPGORkZF4enri4uJS4TF6enrUr1//qazfpEkTNm7cSPXq1TEzMyuzj76+PkVFRX9p/jfffJPJkyezdOlSTp8+zeDBg/9OuFrMzMyws7MjKSmJDh06KOeTkpJo3ry5Vr9+/frRr18/Xn/9dfz8/Lh69apWIr2imjRpwunTp5/a/RdCCCGEEEIIIV4kkhAWQohnzMPDgwEDBrB06VKt86dPn+bu3btcvXqVGzduKDuCPT09n+r6AwYMYMGCBfTs2ZPZs2dTs2ZNfvnlFzZv3szkyZOpWbMmjo6O7N69m4yMDKytrTE3N6/w/JaWlrz22mtMmjSJV199lZo1az7V+CdNmsTMmTOpV68enp6eREdHk5qaqux4XrRoEba2tnh5eaGjo8OmTZuwsbHBwsLiL603ZcoUWrZsyZgxYwgJCcHExITTp0+zZ88eli1b9hSvTAghnr+syO6VHYIQQgghhKhkkhAWQojnYPbs2WzcuFHrXLdu3fjll1+UYy8vL4AnKpdQEcbGxnz//fdMmTKF1157jRs3bmBvb0+XLl2UHcPDhw8nMTERb29v8vPz2bdvH46OjhVeY9iwYaxfv/6JXiZXUWPHjiU3N5eJEydy+fJl3Nzc2LZtG05OTgCYmpoyf/58zp49i66uLs2aNWPXrl1adZafRKNGjdi/fz/Tpk2jXbt2aDQa6tWrR79+/Z7mZQkhhBBCCCGEEJVCpXnamQchhBD/OmvXrmX8+PH89ttv6OvrV3Y4L4S8vDzMzc3Jzc19ZKkOIYQQQgghhBDiaanoz6GyQ1gIIcRfduvWLXJycoiMjGTkyJGSDBZCCCGEEEIIIV5wf+3f0wohhBDA/PnzadCgATY2NoSFhVV2OEIIIYQQQgghhHgMSQgL8RLr2LEj48aNe27rhYeHP/UXnomyxcTE/OWXoj0tWVlZqFQq5WV3ZQkPD6ewsJCEhATUavVziWvgwIHMnTv3uawF8OmnnxIQEPDc1hNCCCGEEEIIIZ4lSQgL8RLbvHkzc+bMeW7rhYaGkpCQ8MzX6dixIyqVSuvz1ltvKe0liUrxcniav7hIS0tj165djB079pHzl3x/IiMjS43v3r07KpWK8PDwUv1VKhWGhoa4ubnx8ccfK+1Dhw7lxx9/5MCBA0/lGoQQQgghhBBCiMokNYSFeIlZWVk91/XUavVz2wU6fPhwZs+erRwbGxs/l3XFi+3DDz+kb9++j/0eOjg4EBMTw9SpU5Vzv/76KwkJCdja2pbqX/J9u3XrFmvWrGH06NFYWloSFBSEvr4+/fv3Z+nSpbRr1+6pX9M/gePUnZUdghCigrIiu1d2CEIIIYQQopLJDmEhXmIP74x0dHRk7ty5DB06FFNTU2rVqsXy5cu1xpw8eZLOnTtjZGSEtbU1I0aMID8/X2lPTEykefPmmJiYYGFhQZs2bfjll1+A0iUjgoOD6dWrF1FRUdja2mJtbc3o0aMpLCxU+hQUFBAaGoq9vT0mJia0aNGCxMTEx16bsbExNjY2yqe8t2OWpSTW1atXU6tWLdRqNaNGjaKoqIj58+djY2ND9erV+eCDD7TGZWdn07NnT9RqNWZmZgQGBnLp0qVS865duxZHR0fMzc154403uHHjhtY1jx07lurVq2NoaEjbtm1JTk7WuscqlYqdO3fSqFEjDA0NadmyJadOnSp1Hbt378bV1RW1Wo2fnx85OTlKW3FxMbNnz6ZmzZoYGBjg6elJfHy80n737l3GjBmDra0thoaG1K5dm4iICKVdpVLxySef0LVrV4yMjKhbty5ffvllqRh+/vlnOnXqhLGxMY0bN+bw4cNK25UrVwgKCsLe3h5jY2M8PDzYsGGD0h4cHMz+/ftZsmSJsgs3KysLgFOnTtG1a1fUajU1atRg4MCB/Pnnn498pkVFRXz55ZcVKt/g7+/Pn3/+SVJSknIuNjaWV199lerVq5fqX/J9q1u3LuHh4Tg5ObFt2zalPSAggG3btnH79u3Hri2EEEIIIYQQQrzIJCEsxD/MwoUL8fb25vjx44waNYq3336bjIwMAG7evImvry+WlpYkJyezadMm9u7dy5gxYwC4d+8evXr1okOHDpw4cYLDhw8zYsSIcssz7Nu3j8zMTPbt20dsbCwxMTHExMQo7WPGjOHw4cPExcVx4sQJ+vbti5+fH2fPni33OtatW0fVqlVxd3cnLCyMW7duPfG9yMzM5JtvviE+Pp4NGzawatUqunfvzsWLF9m/fz/z5s1j+vTpHDlyBLifYO3ZsydXr15l//797Nmzh59//pl+/fqVmnfLli3s2LGDHTt2sH//fq3yBJMnT+arr74iNjaWH3/8kfr16+Pr68vVq1e15pk0aRILFy4kOTmZatWqERAQoJVMv3XrFlFRUaxdu5bvv/+e7OxsQkNDlfYlS5awcOFCoqKiOHHiBL6+vvTo0UO5t0uXLmXbtm188cUXZGRksG7dOhwdHbVimDFjBn369CEtLY0BAwbwxhtvkJ6ertVn2rRphIaGkpqairOzM0FBQdy7dw+AO3fu0LRpU3bu3MmpU6cYMWIEAwcO5OjRo0qMrVq1Yvjw4eTk5JCTk4ODgwPXr1+nc+fOeHl5kZKSQnx8PJcuXSIwMPCRz/PEiRPk5ubi7e1d7nMH0NfXZ8CAAURHRyvnYmJiGDp06GPHAhgZGXH37l3l2Nvbm3v37inflbIUFBSQl5en9RFCCCGEEEIIIV40khAW4h+mW7dujBo1ivr16zNlyhSqVq3Kvn37AFi/fj137txhzZo1uLu707lzZ5YtW8batWu5dOkSeXl55Obm4u/vT7169XB1dWXw4MHUqlXrketZWlqybNkyGjRogL+/P927d1fqDGdnZxMdHc2mTZto164d9erVIzQ0lLZt22ol6h7Wv39/Pv/8c/bt20dYWBhr167lzTffVNodHR3RaDSPvRfFxcWsXr0aNzc3AgIC6NSpExkZGSxevBgXFxeGDBmCi4uLcn8SEhI4efIk69evp2nTprRo0YI1a9awf/9+rR2+xcXFxMTE4O7uTrt27Rg4cKByzTdv3uSTTz5hwYIFdO3aFTc3N1asWIGRkRGrVq3Sim/mzJm88soreHh4EBsby6VLl/j666+V9sLCQj799FO8vb1p0qQJY8aM0arhHBUVxZQpU3jjjTdwcXFh3rx5eHp6snjxYuX+Ozk50bZtW2rXrk3btm0JCgrSiqFv376EhITg7OzMnDlz8Pb25sMPP9TqExoaSvfu3XF2dmbWrFn88ssvnDt3DgB7e3tCQ0Px9PSkbt26vPPOO/j5+fHFF18AYG5ujr6+vtaOb11dXZYtW4aXlxdz586lQYMGeHl5sXr1avbt28eZM2fKfJ6//PILurq6Ze7wLcvQoUP54osvuHnzJt9//73y3S5PUVERn3/+OSdOnKBz587KeWNjY8zNzZXd8mWJiIjA3Nxc+Tg4OFQoTiGEEEIIIYQQ4nmSGsJC/MM0atRI+W+VSoWNjQ2XL18GID09ncaNG2NiYqL0adOmDcXFxWRkZNC+fXuCg4Px9fXllVdewcfHh8DAwDJrrpZo2LAhurq6yrGtrS0nT54E7penKCoqwtnZWWtMQUEB1tbWj5xzxIgRyn97eHhga2tLly5dyMzMpF69eqX6P1hP9s033+TTTz8F7ieOTU1NlbYaNWqgq6uLjo6O1rkH74+Dg4NWIs/NzQ0LCwvS09Np1qxZmfPa2toqc2RmZlJYWEibNm2U9ipVqtC8efNSO29btWql/LeVlRUuLi5afYyNjbWu98F18vLy+O2337TWgfvPMy0tDbhfruGVV17BxcUFPz8//P39efXVVx8ZQ8lxamqq1rkHv1Ml34XLly/ToEEDioqKmDt3Ll988QW//vord+/epaCg4LE1n9PS0ti3b1+ZtYAzMzNLfWcAbt++jYGBQYVfKNi4cWOcnJz48ssv2bdvHwMHDkRPr+y/9j7++GNWrlzJ3bt30dXVZfz48bz99ttafYyMjMrdqR4WFsaECROU47y8PEkKCyGEEEIIIYR44UhCWIh/mCpVqmgdq1QqiouLKzw+OjqasWPHEh8fz8aNG5k+fTp79uyhZcuWT7xefn4+urq6HDt2TCtpDDzRy+latGgBwLlz58pMCD+YwHyw1nBZsf3d+/OoeZ90jr+6TkV2Rpdo0qQJ58+f55tvvmHv3r0EBgbi4+NTZp3gisZRkowtud4FCxawZMkSFi9ejIeHByYmJowbN06r3EJZ8vPzCQgIYN68eaXaHvULiKpVq3Lr1i3u3r2Lvr5+hWIfOnQoH330EadPn1bKWJRlwIABTJs2DSMjI2xtbbV+aVDi6tWrVKtW7ZFzGBgYYGBgUKG4hBBCCCGEEEKIyiIlI4T4F3F1dSUtLY2bN28q55KSktDR0cHFxUU55+XlRVhYGIcOHcLd3Z3169f/pfW8vLwoKiri8uXL1K9fX+tjY2NT4XlKEr6PShQ+OG9FywmUxdXVlQsXLnDhwgXl3OnTp7l+/Tpubm4VmqNevXro6+trvcyssLCQ5OTkUnP88MMPyn9fu3aNM2fO4OrqWqF1zMzMsLOz01oH7j/PB9cxMzOjX79+rFixgo0bN/LVV19p1TJ+MIaS44rGULJez549efPNN2ncuDF169YtVfJBX1+foqIirXNNmjThp59+wtHRsdR348Ed7A8qeaHh6dOnKxxf//79OXnyJO7u7uU+Q3Nzc+rXr4+9vX2ZyeDMzEzu3LmDl5dXhdcWQgghhBBCCCFeRLJDWIh/kQEDBjBz5kwGDx5MeHg4f/zxB++88w4DBw6kRo0anD9/nuXLl9OjRw/s7OzIyMjg7NmzDBo06C+t5+zszIABAxg0aBALFy7Ey8uLP/74g4SEBBo1akT37t1LjcnMzGT9+vV069YNa2trTpw4wfjx42nfvr1W6YJnwcfHBw8PDwYMGMDixYu5d+8eo0aNokOHDhV6kRmAiYkJb7/9NpMmTcLKyopatWoxf/58bt26xbBhw7T6zp49G2tra2rUqMG0adOoWrUqvXr1qnC8kyZNYubMmdSrVw9PT0+io6NJTU1l3bp1ACxatAhbW1u8vLzQ0dFh06ZN2NjYYGFhocyxadMmvL29adu2LevWrePo0aOlah2Xp6Qkw6FDh7C0tGTRokVcunRJK/nq6OjIkSNHyMrKQq1WY2VlxejRo1mxYgVBQUFMnjwZKysrzp07R1xcHCtXriy1oxygWrVqNGnShIMHDyrJ4cextLQkJyen1G7rJ3XgwAHq1q1b5g51AVmRpf8sCyGEEEIIIYR4MUlCWIh/EWNjY3bv3s27775Ls2bNMDY2pk+fPixatEhp/9///kdsbCxXrlzB1taW0aNHM3LkyL+8ZnR0NO+//z4TJ07k119/pWrVqrRs2fKRL/fS19dn7969LF68mJs3b+Lg4ECfPn2YPn36X46holQqFVu3buWdd96hffv26Ojo4OfnV+ola48TGRlJcXExAwcO5MaNG3h7e7N7924sLS1L9Xv33Xc5e/Ysnp6ebN++vcKlEADGjh1Lbm4uEydO5PLly7i5ubFt2zacnJwAMDU1Zf78+Zw9exZdXV2aNWvGrl27tHbAzpo1i7i4OEaNGoWtrS0bNmyo8G5ogOnTp/Pzzz/j6+uLsbExI0aMoFevXuTm5ip9QkNDGTx4MG5ubty+fZvz58/j6OhIUlISU6ZM4dVXX6WgoIDatWvj5+dX5g7dEiEhIaxZs4YxY8ZUOMYHE+B/1YYNGxg+fPjfnkcIIYQQQgghhKhsKs2TFKQUQgjxtyUmJtKpUyeuXbv2VJKVf5VKpeLrr79+ol3Jle327du4uLiwcePGUi/Ee1Z++uknOnfuzJkzZzA3N6/wuLy8PMzNzcnNzdWqbS2EEEIIIYQQQjwLFf05VGoICyGEeGkYGRmxZs0a/vzzz+e2Zk5ODmvWrHmiZLAQQgghhBBCCPGikoSwEEK8xDp27Mi4ceMqO4znqmPHjgQEBAAQHBz82B3Ojo6OLF68+C+v5+Pjg6+v718eL4QQQgghhBBCvEikhrAQQjxnHTt25EWo1vMixFBRWVlZ1KlTh+PHj1f4hXIlkpOTMTExeTaBCSGEEEIIIYQQLxlJCAshhPhHq1atWmWHIIQQLwzHqTsrO4TnIiuye2WHIIQQQgjxwpKSEUII8ZIrLi5m8uTJWFlZYWNjQ3h4OABDhw7F399fq29hYSHVq1dn1apVwP3dymPGjGHMmDGYm5tTtWpVZsyYobV7+Nq1awwaNAhLS0uMjY3p2rUrZ8+eBeCPP/7AxsaGuXPnKv0PHTqEvr4+CQkJAGRmZtKzZ09q1KiBWq2mWbNm7N27VysuR0dH5s6dy9ChQzE1NaVWrVosX75caa9Tpw4AXl5eqFQqOnbsqDU+KioKW1tbrK2tGT16NIWFhVpzP1gyQqVSsXLlSnr37o2xsTFOTk5s27ZNa75Tp07RtWtX1Go1NWrUYODAgc+1brEQQgghhBBCCPGsSEJYCCFecrGxsZiYmHDkyBHmz5/P7Nmz2bNnDyEhIcTHx5OTk6P03bFjB7du3aJfv35a4/X09Dh69ChLlixh0aJFrFy5UmkPDg4mJSWFbdu2cfjwYTQaDd26daOwsJBq1aqxevVqwsPDSUlJ4caNGwwcOJAxY8bQpUsXAPLz8+nWrRsJCQkcP34cPz8/AgICyM7O1rqOhQsX4u3tzfHjxxk1ahRvv/02GRkZABw9ehSAvXv3kpOTw+bNm5Vx+/btIzMzk3379hEbG0tMTAwxMTHl3rNZs2YRGBjIiRMn6NatGwMGDODq1asAXL9+nc6dO+Pl5UVKSgrx8fFcunSJwMDAv/B0hBBCCCGEEEKIF4tK8zIVkRRCCKGlY8eOFBUVceDAAeVc8+bN6dy5M5GRkTRs2JDBgwczefJkAHr06IG1tTXR0dHK+MuXL/PTTz+hUqkAmDp1Ktu2beP06dOcPXsWZ2dnkpKSaN26NQBXrlzBwcGB2NhY+vbtC8Do0aPZu3cv3t7enDx5kuTkZAwMDB4Zt7u7O2+99RZjxowB7u/ibdeuHWvXrgXu1ze2sbFh1qxZvPXWW4+sIRwcHExiYiKZmZno6uoCEBgYiI6ODnFxccrc48aNU16+p1KpmD59OnPmzAHg5s2bqNVqvvnmG/z8/Hj//fc5cOAAu3fvVta5ePEiDg4OZGRk4OzsXOY1FRQUUFBQoBzn5eXh4OBAbm4uZmZmj7wXQgjxPEnJCCGEEEKIf668vDzMzc0f+3Oo7BAWQoiXXKNGjbSObW1tuXz5MgAhISFK8vfSpUt88803DB06VKt/y5YtlWQwQKtWrTh79ixFRUWkp6ejp6dHixYtlHZra2tcXFxIT09XzkVFRXHv3j02bdrEunXrtJLB+fn5hIaG4urqioWFBWq1mvT09FI7hB+8DpVKhY2NjXId5WnYsKGSDH74+h/lwbVMTEwwMzNTxqSlpbFv3z7UarXyadCgAXC//MWjREREYG5urnwcHBweG7sQQgghhBBCCPG8yUvlhBDiJVelShWtY5VKRXFxMQCDBg1i6tSpHD58mEOHDlGnTh3atWv31GPIzMzkt99+o7i4mKysLDw8PJS20NBQ9uzZQ1RUFPXr18fIyIjXX3+du3fvVvg6yvNXxpU3Jj8/n4CAAObNm1dqnK2t7SPnDAsLY8KECcpxyQ5hIYQQQgghhBDiRSIJYSGE+AeztramV69eREdHc/jwYYYMGVKqz5EjR7SOf/jhB5ycnNDV1cXV1ZV79+5x5MgRrZIRGRkZuLm5AXD37l3efPNN+vXrh4uLCyEhIZw8eZLq1asDkJSURHBwML179wbuJ1yzsrKe6Dr09fUBKCoqeqJxf0WTJk346quvcHR0RE+v4n9NGhgYlFsmQwghhBBCCCGEeBFIQlgIIf7hQkJC8Pf3p6ioiMGDB5dqz87OZsKECYwcOZIff/yRDz/8kIULFwLg5OREz549GT58OJ999hmmpqZMnToVe3t7evbsCcC0adPIzc1l6dKlqNVqdu3axdChQ9mxY4cyx+bNmwkICEClUjFjxowK7fx9UPXq1TEyMiI+Pp6aNWtiaGiIubn537wzZRs9ejQrVqwgKCiIyZMnY2Vlxblz54iLi2PlypVa5SmEEOJlI7V1hRBCCCGE1BAWQoh/OB8fH2xtbfH19cXOzq5U+6BBg7h9+zbNmzdn9OjRvPvuu4wYMUJpj46OpmnTpvj7+9OqVSs0Gg27du2iSpUqJCYmsnjxYtauXYuZmRk6OjqsXbuWAwcO8MknnwCwaNEiLC0tad26NQEBAfj6+tKkSZMnugY9PT2WLl3KZ599hp2dnZKMfhbs7OxISkqiqKiIV199FQ8PD8aNG4eFhQU6OvLXphBCCCGEEEKIl5tKo9FoKjsIIYQQz05+fj729vZER0fz2muvabV17NgRT09PFi9eXDnB/YNV9O2uQgghhBBCCCHE01DRn0OlZIQQQvxDFRcX8+eff7Jw4UIsLCzo0aNHZYckhBBCCCGEEEKISiYJYSGE+IfKzs6mTp061KxZk5iYmCd6QZoQQgghhBBCCCH+maQYohAvgKysLFQqFampqZUdiiImJgYLC4vKDuNfITExEZVKxfXr15/qvI6Ojmg0Gi5cuECXLl0euXZJuQiVSsWWLVueagx/14wZM7TqGVeWli1b8tVXX1V2GEIIIYQQQgghxN8mCWEhRJn69evHmTNnnvk6wcHBqFQqrY+fn59WH5VKRVZW1jOPRfx9wcHB9OrV66nM9fvvv7NkyRKmTZtWqu3w4cPo6urSvXv3Um0lv2DR1dXl119/1WrLyclBT09P6ztV0r/kY21tzauvvsrx48eVcdOnT2fq1KkUFxc/lWsTQgghhBBCCCEqi/z7YSFEmYyMjDAyMnoua/n5+REdHa0cGxgYPJd1xYtt5cqVtG7dmtq1a5dqW7VqFe+88w6rVq3it99+w87OrlQfe3t71qxZQ1hYmHIuNjYWe3t7srOzS/Xfu3cvDRs25OLFi4wdO5auXbvyv//9DwsLC7p27UpISAjffPNNmUloIYR43hyn7vxL47Ii5f9hQgghhBD/drJDWIinLD4+nrZt22JhYYG1tTX+/v5kZmZq9Tl69CheXl4YGhri7e2ttROxxKlTp+jatStqtZoaNWowcOBA/vzzT6W9Y8eOjB07lsmTJ2NlZYWNjQ3h4eFac2RnZ9OzZ0/UajVmZmYEBgZy6dIlpT0tLY1OnTphamqKmZkZTZs2JSUlBShdMiI8PBxPT0/Wrl2Lo6Mj5ubmvPHGG9y4cUPpU1xcTEREBHXq1MHIyIjGjRvz5ZdfPvaeGRgYYGNjo3wsLS0fO+ZBJbHu2LEDFxcXjI2Nef3117l16xaxsbE4OjpiaWnJ2LFjKSoqUsZdu3aNQYMGYWlpibGxMV27duXs2bOl5t29ezeurq6o1Wr8/PzIycnRuubZs2dTs2ZNDAwM8PT0JD4+Xmkv2X0aFxdH69atMTQ0xN3dnf3795e6jmPHjuHt7Y2xsTGtW7cmIyNDq/2TTz6hXr166Ovr4+Liwtq1a5U2jUZDeHg4tWrVwsDAADs7O8aOHau0Ozo6MmfOHIKCgjAxMcHe3p6PPvqoVAx//vknvXv3xtjYGCcnJ7Zt26a0FRUVMWzYMOX5uri4sGTJEqU9PDyc2NhYtm7dquy2TUxMBODChQsEBgZiYWGBlZUVPXv2fOyu77i4OAICAkqdz8/PZ+PGjbz99tt0796dmJiYMscPHjxY6xcNANHR0QwePLjM/tbW1tjY2ODt7U1UVBSXLl3iyJEjAOjq6tKtWzfi4uLKjVkIIYQQQgghhHjRSUJYiKfs5s2bTJgwgZSUFBISEtDR0aF3797KPzXPz8/H398fNzc3jh07Rnh4OKGhoVpzXL9+nc6dO+Pl5UVKSgrx8fFcunSJwMBArX6xsbGYmJhw5MgR5s+fz+zZs9mzZw9wP1HZs2dPrl69yv79+9mzZw8///wz/fr1U8YPGDCAmjVrkpyczLFjx5g6dSpVqlR55LVlZmayZcsWduzYwY4dO9i/fz+RkZFKe0REBGvWrOHTTz/lp59+Yvz48bz55ptlJj8flJiYSPXq1XFxceHtt9/mypUrFbvZD7h16xZLly4lLi6O+Ph4EhMT6d27N7t27WLXrl2sXbuWzz77TCtBHRwcTEpKCtu2bePw4cNoNBq6detGYWGh1rxRUVGsXbuW77//nuzsbK3ntWTJEhYuXEhUVBQnTpzA19eXHj16aCWWASZNmsTEiRM5fvw4rVq1IiAgoNR1Tps2jYULF5KSkoKenh5Dhw5V2r7++mveffddJk6cyKlTpxg5ciRDhgxh3759AHz11Vf897//5bPPPuPs2bNs2bIFDw8PrfkXLFhA48aNOX78OFOnTuXdd99Vvi8lZs2aRWBgICdOnKBbt24MGDCAq1evAve/UzVr1mTTpk2cPn2a9957j//85z988cUXAISGhhIYGKgkzXNycmjdujWFhYX4+vpiamrKgQMHSEpKUpLrd+/eLfN5Xr16ldOnT+Pt7V2q7YsvvqBBgwa4uLjw5ptvsnr1ajQaTal+PXr04Nq1axw8eBCAgwcPcu3atTKTzA8r2R3/YHzNmzfnwIEDjx0rhBBCCCGEEEK80DRCiGfqjz/+0ACakydPajQajeazzz7TWFtba27fvq30+eSTTzSA5vjx4xqNRqOZM2eO5tVXX9Wa58KFCxpAk5GRodFoNJoOHTpo2rZtq9WnWbNmmilTpmg0Go3m22+/1ejq6mqys7OV9p9++kkDaI4eParRaDQaU1NTTUxMTJlxR0dHa8zNzZXjmTNnaoyNjTV5eXnKuUmTJmlatGih0Wg0mjt37miMjY01hw4d0ppn2LBhmqCgoEfenw0bNmi2bt2qOXHihObrr7/WuLq6apo1a6a5d+/eI8eUFSugOXfunHJu5MiRGmNjY82NGzeUc76+vpqRI0dqNBqN5syZMxpAk5SUpLT/+eefGiMjI80XX3zxyHk/+ugjTY0aNZRjOzs7zQcffKAVT7NmzTSjRo3SaDQazfnz5zWAJjIyUmkvLCzU1KxZUzNv3jyNRqPR7Nu3TwNo9u7dq/TZuXOnBlC+J61bt9YMHz5ca52+fftqunXrptFoNJqFCxdqnJ2dNXfv3i3zHtWuXVvj5+enda5fv36arl27KseAZvr06cpxfn6+BtB88803Zc6p0Wg0o0eP1vTp00c5Hjx4sKZnz55afdauXatxcXHRFBcXK+cKCgo0RkZGmt27d5c57/HjxzWA1ve3ROvWrTWLFy/WaDT372XVqlU1+/btU9pL7vnx48c148aN0wwZMkSj0Wg0Q4YM0YwfP16Z+/z586X6azQazbVr1zS9e/fWqNVqze+//67Mu3XrVo2Ojo6mqKiozJjv3Lmjyc3NVT4lf2Zzc3PLvnlCCPE31J6y4y99hBBCCCHEP1dubm6Ffg6VHcJCPGVnz54lKCiIunXrYmZmhqOjI4BSszQ9PZ1GjRphaGiojGnVqpXWHGlpaezbtw+1Wq18GjRoAKBVfqJRo0Za42xtbbl8+bKyjoODAw4ODkq7m5sbFhYWpKenAzBhwgRCQkLw8fEhMjKyVGmLhzk6OmJqalrmeufOnePWrVu88sorWnGvWbOm3HnfeOMNevTogYeHB7169WLHjh0kJycrpQYe1rBhQ2Xurl27KueNjY2pV6+eclyjRg0cHR1Rq9Va5x68P3p6erRo0UJpt7a2xsXFRbk/Zc374DXn5eXx22+/0aZNG60Y27RpozUHaD9jPT09vL29S/V58Hna2toCaMVb3jp9+/bl9u3b1K1bl+HDh/P1119z7969R8ZQclxeDCYmJpiZmSkxAHz00Uc0bdqUatWqoVarWb58eZn1eB+UlpbGuXPnMDU1VZ6dlZUVd+7ceeR34/bt2wBaf04AMjIyOHr0KEFBQcD9e9mvXz9WrVpV5jxDhw5l06ZN/P7772zatElr1/XDWrdujVqtxtLSkrS0NDZu3EiNGjWUdiMjI4qLiykoKChzfEREBObm5srnwT97QgghhBBCCCHEi0JeKifEUxYQEEDt2rVZsWIFdnZ2FBcX4+7u/sh/Gl+W/Px8AgICmDdvXqm2kkQhUKq8g0qlUkpTVER4eDj9+/dn586dfPPNN8ycOZO4uDh69+5dZv/y1svPzwdg586d2Nvba/V7kpfE1a1bl6pVq3Lu3Dm6dOlSqn3Xrl1KSYcHX3pXVmx/9/48al5NGeUJnoYH11KpVAAVjtfBwYGMjAz27t3Lnj17GDVqFAsWLGD//v3llgEpL4aSOEpiiIuLIzQ0lIULF9KqVStMTU1ZsGCBUmf3UfLz82natCnr1q0r1VatWrUyx1StWhW4X+f5wT6rVq3i3r17Wi+R02g0GBgYsGzZMszNzbXm8fDwoEGDBgQFBeHq6oq7uzupqallrrlx40bc3NywtrbWqp9d4urVq5iYmDzyZYthYWFMmDBBOc7Ly5OksBBCCCGEEEKIF47sEBbiKbpy5QoZGRlMnz6dLl264OrqyrVr17T6uLq6cuLECe7cuaOc++GHH7T6NGnShJ9++glHR0fq16+v9TExMalQLK6urly4cIELFy4o506fPs3169dxc3NTzjk7OzN+/Hi+/fZbXnvttVIv4aooNzc3DAwMyM7OLhXzkyTFLl68yJUrV7QS3w+qXbu2Mu/Diecn4erqyr1797SSmSXP78H7Ux4zMzPs7OxISkrSOp+UlFRqjgef8b179zh27Biurq5PFO/j1jEyMiIgIIClS5eSmJjI4cOHOXnyZJkxlBw/SQxJSUm0bt2aUaNG4eXlRf369Uvt8NXX19d6cR/c/z6fPXuW6tWrl/puPJzALVGvXj3MzMw4ffq0cu7evXusWbOGhQsXkpqaqnzS0tKws7Njw4YNZc41dOhQEhMTy90dDPeT6vXq1SszGQz3X/To5eX1yPEGBgaYmZlpfYQQQgghhBBCiBeN7BAW4imytLTE2tqa5cuXY2trS3Z2NlOnTtXq079/f6ZNm8bw4cMJCwsjKyuLqKgorT6jR49mxYoVBAUFMXnyZKysrDh37hxxcXGsXLkSXV3dx8bi4+ODh4cHAwYMYPHixdy7d49Ro0bRoUMHvL29uX37NpMmTeL111+nTp06XLx4keTkZPr06fOXrt3U1JTQ0FDGjx9PcXExbdu2JTc3l6SkJMzMzBg8eHCpMfn5+cyaNYs+ffpgY2NDZmYmkydPpn79+vj6+v6lOCrKycmJnj17Mnz4cD777DNMTU2ZOnUq9vb29OzZs8LzTJo0iZkzZ1KvXj08PT2Jjo4mNTW11G7Yjz76CCcnJ1xdXfnvf//LtWvXHpugfHidwMBAvLy88PHxYfv27WzevJm9e/cCEBMTQ1FRES1atMDY2JjPP/8cIyMjateurcyRlJTE/Pnz6dWrF3v27GHTpk3s3LmzwjE4OTmxZs0adu/eTZ06dVi7di3JycnUqVNH6ePo6Mju3bvJyMjA2toac3NzBgwYwIIFC+jZsyezZ8+mZs2a/PLLL2zevJnJkydTs2bNUmvp6Ojg4+PDwYMH6dWrFwA7duzg2rVrDBs2rFQiuU+fPqxatYq33nqr1FzDhw+nb9++j0z0VtSBAwd49dVX/9YcQgjxtGRFdq/sEIQQQgghxEtKdggL8RTp6OgQFxfHsWPHcHd3Z/z48SxYsECrj1qtZvv27Zw8eRIvLy+mTZtWqjREya7ToqIiXn31VTw8PBg3bhwWFhbo6FTsj61KpWLr1q1YWlrSvn17fHx8qFu3Lhs3bgRAV1eXK1euMGjQIJydnQkMDKRr167MmjXrL1//nDlzmDFjBhEREbi6uuLn58fOnTu1EoYP0tXV5cSJE/To0QNnZ2eGDRtG06ZNOXDgwBOVmfiroqOjadq0Kf7+/rRq1QqNRsOuXbueqMTC2LFjmTBhAhMnTsTDw4P4+Hi2bduGk5OTVr/IyEgiIyNp3LgxBw8eZNu2bUpZhIro1asXS5YsISoqioYNG/LZZ58RHR1Nx44dAbCwsGDFihW0adOGRo0asXfvXrZv3461tbUyx8SJE0lJScHLy4v333+fRYsWPVHifeTIkbz22mv069ePFi1acOXKFUaNGqXVZ/jw4bi4uODt7U21atVISkrC2NiY77//nlq1avHaa6/h6urKsGHDuHPnTrm7aENCQoiLi1NKVqxatQofH58ydxX36dOHlJQUTpw4UapNT0+PqlWroqf3138H+uuvv3Lo0CGGDBnyl+cQQgghhBBCCCFeBCrNsyqGKYQQgqysLOrUqcPx48fx9PSstDgcHR0ZN24c48aNq7QYnpRGo6FFixaMHz9eeYlcZZkyZQrXrl1j+fLlFR6Tl5eHubk5ubm5Uj5CCCGEEEIIIcQzV9GfQ2WHsBBCiBeSSqVi+fLl3Lt3r7JDoXr16syZM6eywxBCCCGEEEIIIf42qSEshBDiheXp6VmpO6tLTJw4sbJDEEIIIYQQQgghngrZISyEEM+Qo6MjGo2m0pOaWVlZlVouIisrC5VKRWpqKgCJiYmoVCquX79eaTE9SKVSsWXLlsoOQwghhBBCCCGEeOYkISyEEOIf468mdnNycujatevTD0gIIYQQQgghhHjBSMkIIYQQ/3o2NjaVHYIQQjwXjlN3Pvc1syK7P/c1hRBCCCHEo8kOYSGEEE9FfHw8bdu2xcLCAmtra/z9/cnMzKzQ2CtXrhAUFIS9vT3GxsZ4eHiwYcMGrT4dO3Zk7NixTJ48GSsrK2xsbAgPD1faHR0dAejduzcqlUo5Bvjkk0+oV68e+vr6uLi4sHbtWq25H9xZXFLeYvPmzXTq1AljY2MaN27M4cOHn/ieCCGEEEIIIYQQLxpJCAshhHgqbt68yYQJE0hJSSEhIQEdHR169+5NcXHxY8feuXOHpk2bsnPnTk6dOsWIESMYOHAgR48e1eoXGxuLiYkJR44cYf78+cyePZs9e/YAkJycDEB0dDQ5OTnK8ddff827777LxIkTOXXqFCNHjmTIkCHs27ev3JimTZtGaGgoqampODs7ExQUxL179/7KrRFCCCGEEEIIIV4YUjJCCCHEU9GnTx+t49WrV1OtWjVOnz6NWq0ud6y9vT2hoaHK8TvvvMPu3bv54osvaN68uXK+UaNGzJw5EwAnJyeWLVtGQkICr7zyCtWqVQPAwsJCqwREVFQUwcHBjBo1CoAJEybwww8/EBUVRadOnR4ZU2hoKN273/9nzrNmzaJhw4acO3eOBg0alNm/oKCAgoIC5TgvL6/caxZCCCGEEEIIISqD7BAWQgjxVJw9e5agoCDq1q2LmZmZUrIhOzv7sWOLioqYM2cOHh4eWFlZoVar2b17d6mxjRo10jq2tbXl8uXL5c6dnp5OmzZttM61adOG9PT0csc9uJatrS1AuWtFRERgbm6ufBwcHMqdXwghhBBCCCGEqAySEBZCCPFUBAQEcPXqVVasWMGRI0c4cuQIAHfv3n3s2AULFrBkyRKmTJnCvn37SE1NxdfXt9TYKlWqaB2rVKoKlaT4Kx5cS6VSAZS7VlhYGLm5ucrnwoULzyQuIYQQQgghhBDi75CSEUIIIf62K1eukJGRwYoVK2jXrh0ABw8erPD4pKQkevbsyZtvvgncT7yeOXMGNze3J4qjSpUqFBUVaZ1zdXUlKSmJwYMHa633pHM/joGBAQYGBk91TiGEEEIIIYQQ4mmThLAQQoi/zdLSEmtra5YvX46trS3Z2dlMnTq1wuOdnJz48ssvOXToEJaWlixatIhLly49cdLW0dGRhIQE2rRpg4GBAZaWlkyaNInAwEC8vLzw8fFh+/btbN68mb179z7pZQohxEsvK7J7ZYcghBBCCCEqmZSMEEII8bfp6OgQFxfHsWPHcHd3Z/z48SxYsKDC46dPn06TJk3w9fWlY8eO2NjY0KtXryeOY+HChezZswcHBwe8vLwA6NWrF0uWLCEqKoqGDRvy2WefER0dTceOHZ94fiGEEEIIIYQQ4mWn0mg0msoOQgghhPinycvLw9zcnNzcXMzMzCo7HCGEEEIIIYQQ/3AV/TlUdggLIYQQQgghhBBCCCHEv4QkhIUQQgghhBBCCCGEEOJfQhLCQvzLZGVloVKpSE1NrexQFDExMVhYWFR2GH/Zw/GHh4fj6en5RHN07NiRcePGPdW4ntRfiftZu3LlCtWrVycrK6vSYpg6dSrvvPNOpa0vhBBCCCGEEEI8TZIQFkJUun79+nHmzJlnvk5wcDAqlUrr4+fnp9VHpVL97eRjaGgoCQkJf2uOl9XT/oXDBx98QM+ePXF0dCzV5uvri66uLsnJyaXaHnzWVapUoUaNGrzyyiusXr2a4uJirb6Ojo5KXxMTE5o0acKmTZuU9tDQUGJjY/n555+fyjUJIYQQQgghhBCVSa+yAxBCCCMjI4yMjJ7LWn5+fkRHRyvHBgYGT30NtVqNWq1+6vP+29y6dYtVq1axe/fuUm3Z2dkcOnSIMWPGsHr1apo1a1aqT8mzLioq4tKlS8THx/Puu+/y5Zdfsm3bNvT0/u+vwNmzZzN8+HDy8vJYuHAh/fr1w97entatW1O1alV8fX355JNPWLBgwTO9ZiH+bRyn7qzsEP51siK7V3YIQgghhBCikskOYSFeYvHx8bRt2xYLCwusra3x9/cnMzNTq8/Ro0fx8vLC0NAQb29vjh8/XmqeU6dO0bVrV9RqNTVq1GDgwIH8+eefSnvHjh0ZO3YskydPxsrKChsbG8LDw7XmyM7OpmfPnqjVaszMzAgMDOTSpUtKe1paGp06dcLU1BQzMzOaNm1KSkoK8OiSC2vXrsXR0RFzc3PeeOMNbty4ofQpLi4mIiKCOnXqYGRkROPGjfnyyy8fe88MDAywsbFRPpaWlo8d87CYmBhq1aqFsbExvXv35sqVK1rtD5deCA4OplevXsyaNYtq1aphZmbGW2+9xd27d7XGFRcXP/N7vGXLFpycnDA0NMTX15cLFy6Uur7y7vvjvnN16tQBwMvLC5VKRceOHZW2lStX4urqiqGhIQ0aNODjjz8u9z7v2rULAwMDWrZsWaotOjoaf39/3n77bTZs2MDt27dL9Sl51vb29jRp0oT//Oc/bN26lW+++YaYmBitvqamptjY2ODs7MxHH32EkZER27dvV9oDAgKIi4srN14hhBBCCCGEEOJlIAlhIV5iN2/eZMKECaSkpJCQkICOjg69e/dW/kl8fn4+/v7+uLm5cezYMcLDwwkNDdWa4/r163Tu3BkvLy9SUlKIj4/n0qVLBAYGavWLjY3FxMSEI0eOMH/+fGbPns2ePXuA+4nMnj17cvXqVfbv38+ePXv4+eef6devnzJ+wIAB1KxZk+TkZI4dO8bUqVOpUqXKI68tMzOTLVu2sGPHDnbs2MH+/fuJjIxU2iMiIlizZg2ffvopP/30E+PHj+fNN99k//795d6zxMREqlevjouLC2+//XapZO7jHDlyhGHDhjFmzBhSU1Pp1KkT77///mPHJSQkkJ6eTmJiIhs2bGDz5s3MmjVLq8+zvse3bt3igw8+YM2aNSQlJXH9+nXeeOMNrRged98f9507evQoAHv37iUnJ4fNmzcDsG7dOt577z0++OAD0tPTmTt3LjNmzCA2NvaR9+zAgQM0bdq01HmNRkN0dDRvvvkmDRo0oH79+hX6ZQBA586dady4sRJXWfT09KhSpYpWwr558+ZcvHix3HIiBQUF5OXlaX2EEEIIIYQQQogXjZSMEOIl1qdPH63j1atXU61aNU6fPo27uzvr16+nuLiYVatWYWhoSMOGDbl48SJvv/22MmbZsmV4eXkxd+5crXkcHBw4c+YMzs7OADRq1IiZM2cC4OTkxLJly0hISOCVV14hISGBkydPcv78eRwcHABYs2YNDRs2JDk5mWbNmpGdnc2kSZNo0KCBMkd5iouLiYmJwdTUFICBAweSkJDABx98QEFBAXPnzmXv3r20atUKgLp163Lw4EE+++wzOnToUOacfn5+vPbaa9SpU4fMzEz+85//0LVrVw4fPoyuri5wP9lYniVLluDn58fkyZMBcHZ25tChQ8THx5c7Tl9fn9WrV2NsbEzDhg2ZPXs2kyZNYs6cOejo6DyXe1xYWMiyZcto0aIFcD8B7erqytGjR2nevPlj7zs8/jtXrVo1AKytrbGxsVH6zZw5k4ULF/Laa68B93cSnz59ms8++4zBgweXec9++eUX7OzsSp3fu3cvt27dwtfXF4A333yTVatWMXDgwHKfQYkGDRpw4sSJMtvu3r3LwoULyc3NpXPnzsr5kjh++eWXMusZw/1fUjyc5BdCCCGEEEIIIV40skNYiJfY2bNnCQoKom7dupiZmSmJquzsbADS09Np1KgRhoaGypiSBGqJtLQ09u3bp9S9VavVSkLxwVIAjRo10hpna2vL5cuXlXUcHByURCWAm5sbFhYWpKenAzBhwgRCQkLw8fEhMjKyVGmLhzk6OipJyYfXO3fuHLdu3eKVV17RinvNmjXlzvvGG2/Qo0cPPDw86NWrFzt27CA5OZnExMQy+zds2FCZu2vXrsq1liRUSzx8T8vSuHFjjI2Ntcbk5+drlWx41vdYT09Pq9ZugwYNtMZD+fcdHv+dK8vNmzfJzMxk2LBhWs/r/fffL/d53b59W+u7W2L16tX069dPqQEcFBREUlLSY79TJTQaDSqVSuvclClTUKvVGBsbM2/ePCIjI+ne/f/qbJbUuL5169Yj5w0LCyM3N1f5lFWOQwghhBBCCCGEqGyyQ1iIl1hAQAC1a9dmxYoV2NnZUVxcjLu7e6natOXJz88nICCAefPmlWqztbVV/vvh8g4qlUopE1AR4eHh9O/fn507d/LNN98wc+ZM4uLi6N27d5n9y1svPz8fgJ07d2Jvb6/V70leEle3bl2qVq3KuXPn6NKlS6n2Xbt2UVhYCPBcXnr3vO/xX4nhr3znSp7XihUrSiXTS3Zml6Vq1apcu3ZN69zVq1f5+uuvKSws5JNPPlHOFxUVsXr1amUnc3nS09OVWsclJk2aRHBwsFJH++GE8dWrVwGUHdBlMTAweCYvKRRCCCGEEEIIIZ4mSQgL8ZK6cuUKGRkZrFixgnbt2gFw8OBBrT6urq6sXbuWO3fuKDstf/jhB60+TZo04auvvsLR0VHZcfmkXF1duXDhAhcuXFB2sJ4+fZrr16/j5uam9HN2dsbZ2Znx48cTFBREdHT0EyUrS7i5uWFgYEB2dvYjy0NUxMWLF7ly5YpW4vtBtWvXLnXO1dWVI0eOaJ17+J6WJS0tjdu3byuJ5R9++AG1Wq2147c8T+Me37t3j5SUFKU8REZGBtevX8fV1bVCMVTkO6evrw/cT9CWqFGjBnZ2dvz8888MGDCgQmvB/RfTff7551rn1q1bR82aNdmyZYvW+W+//ZaFCxcye/bscpPM3333HSdPnmT8+PFa56tWrUr9+vUfOe7UqVNUqVKFhg0bVjh+IYQQQgghhBDiRSQJYSFeUpaWllhbW7N8+XJsbW3Jzs5m6tSpWn369+/PtGnTGD58OGFhYWRlZREVFaXVZ/To0axYsYKgoCAmT56MlZUV586dIy4ujpUrV5abXCvh4+ODh4cHAwYMYPHixdy7d49Ro0bRoUMHvL29uX37NpMmTeL111+nTp06XLx4keTk5FL1aCvK1NSU0NBQxo8fT3FxMW3btiU3N5ekpCTMzMzKrEmbn5/PrFmz6NOnDzY2NmRmZjJ58mTq16+v1KKtiLFjx9KmTRuioqLo2bMnu3fvfmz9YLhfm3bYsGFMnz6drKwsZs6cyZgxY5T6wY/zNO5xlSpVeOedd1i6dCl6enqMGTOGli1bKgnix6nId6569eoYGRkRHx9PzZo1MTQ0xNzcnFmzZjF27FjMzc3x8/OjoKCAlJQUrl27xoQJE8pcz9fXl7CwMK5du4alpSUAq1at4vXXX8fd3V2rr4ODA2FhYcTHxyulHgoKCvj9998pKiri0qVLxMfHExERgb+/P4MGDarQNZc4cOAA7dq1ey47xYX4N8mK7P74TkIIIYQQQoinSmoIC/GS0tHRIS4ujmPHjuHu7s748eNZsGCBVh+1Ws327ds5efIkXl5eTJs2rVRpCDs7O5KSkigqKuLVV1/Fw8ODcePGYWFhUeFkpUqlYuvWrVhaWtK+fXt8fHyoW7cuGzduBO6XBbhy5QqDBg3C2dmZwMBAunbt+rdewDVnzhxmzJhBREQErq6u+Pn5sXPnzlKlAEro6upy4sQJevTogbOzM8OGDaNp06YcOHDgif6Zf8uWLVmxYgVLliyhcePGfPvtt0yfPv2x47p06YKTkxPt27enX79+9OjRg/Dw8Aqv+zTusbGxMVOmTKF///60adMGtVqtjK+Iinzn9PT0WLp0KZ999hl2dnb07NkTgJCQEFauXEl0dDQeHh506NCBmJiYRz4vAA8PD5o0acIXX3wBwLFjx0hLSyvzFwnm5uZ06dKFVatWKefi4+OxtbXF0dERPz8/9u3bx9KlS9m6dWuFftHxoLi4OIYPH/5EY4QQQgghhBBCiBeRSqPRaCo7CCGE+CcLDg7m+vXrpcocPE8xMTGMGzeO69evV1oMf8XOnTuZNGkSp06dqvAvKJ62b775hokTJ3LixIknKquSl5eHubk5ubm5mJmZPcMIhRBCCCGEEEKIiv8cKiUjhBBCvLC6d+/O2bNn+fXXXytcb/lpu3nzJtHR0X+5xrYQQgghhBBCCPEikZ9uhRBCvNDGjRtXqeu//vrrlbq+EEIIIYQQQgjxNEkNYVEpsrKyUKlUpKamVnYoipiYGCwsLCo7jH8MR0dHFi9erByrVKpKLZlQmWJiYti6dWulXn9wcDCenp6Vnlx9WEJCAq6urhQVFVV2KI909+5dHB0dSUlJqexQhBBCCCGEEEKIv00SwkL8f/369ePMmTPPfJ3w8HAaNGiAiYkJlpaW+Pj4cOTIEa0+KpWKrKysR84RHByMSqXS+vj5+T3RHM9bTk4OXbt2rewwxN/0tH9xMnnyZKZPn/7EL3nbsGEDurq6jB49ulRbYmIiKpUKS0tL7ty5o9WWnJys/Jl5uH/Jp0aNGvTp04eff/4ZAH19fUJDQ5kyZcpfuEIhhBBCCCGEEOLFIiUjhPj/jIyMMDIyeubrODs7s2zZMurWrcvt27f573//y6uvvsq5c+eoVq1ahefx8/MjOjpaOTYwMHgW4T41NjY2lR2CeMEcPHiQzMxM+vTp88RjV61axeTJk/nss89YuHAhhoaGpfqYmpry9ddfExQUpDWuVq1aZGdnl+qfkZGBqakpZ8+eZcSIEQQEBHDixAl0dXUZMGAAEydO5KeffqJhw4ZPHK8QAI5Td1Z2CEKQFdm9skMQQgghhBCVTHYIi78tPj6etm3bYmFhgbW1Nf7+/mRmZmr1OXr0KF5eXhgaGuLt7c3x48dLzXPq1Cm6du2KWq2mRo0aDBw4kD///FNp79ixI2PHjmXy5MlYWVlhY2NDeHi41hzZ2dn07NkTtVqNmZkZgYGBXLp0SWlPS0ujU6dOmJqaYmZmRtOmTZV/Bv7wzsfw8HA8PT1Zu3Ytjo6OmJub88Ybb3Djxg2lT3FxMREREdSpUwcjIyMaN27Ml19+We796t+/Pz4+PtStW5eGDRuyaNEi8vLyOHHixGPv9YMMDAywsbFRPpaWlk80HiApKYmOHTtibGyMpaUlvr6+XLt2jTVr1mBtbU1BQYFW/169ejFw4EDlePv27TRr1gxDQ0OqVq1K7969H7nWwyUjLl68SFBQEFZWVpiYmODt7V1qp3SJkhIjX3zxBe3atcPIyIhmzZpx5swZkpOT8fb2Rq1W07VrV/744w9lXHFxMbNnz6ZmzZoYGBjg6elJfHx8qXk3b95Mp06dMDY2pnHjxhw+fFhr/a+++oqGDRtiYGCAo6MjCxcu1Gp3dHRkzpw5BAUFYWJigr29PR999FGp6/jzzz/p3bs3xsbGODk5sW3bNq32/fv307x5cwwMDLC1tWXq1Kncu3dPaf/yyy/x8PDAyMgIa2trfHx8uHnzJnB/13ivXr2YNWsW1apVw8zMjLfeeou7d+9qrVFcXFzun6FFixbh4eGBiYkJDg4OjBo1ivz8fOD+TtohQ4aQm5ur7KYtGV9QUEBoaCj29vaYmJjQokULEhMTy3yeJeLi4njllVdKJXMf9706f/48hw4dYurUqTg7O7N58+Yy5x88eDCrV69Wjm/fvk1cXByDBw8us3/16tWxtbWlffv2vPfee5w+fZpz584BYGlpSZs2bYiLiyv3moQQQgghhBBCiBedJITF33bz5k0mTJhASkoKCQkJ6Ojo0Lt3b4qLiwHIz8/H398fNzc3jh07Rnh4OKGhoVpzXL9+nc6dO+Pl5UVKSgrx8fFcunSJwMBArX6xsbGYmJhw5MgR5s+fz+zZs9mzZw9wP9HVs2dPrl69yv79+9mzZw8///wz/fr1U8YPGDCAmjVrkpyczLFjx5g6dSpVqlR55LVlZmayZcsWduzYwY4dO9i/fz+RkZFKe0REBGvWrOHTTz/lp59+Yvz48bz55pvs37+/Qvfu7t27LF++HHNzcxo3blyhMSUSExOpXr06Li4uvP3221y5cuWJxqemptKlSxfc3Nw4fPgwBw8eJCAggKKiIvr27UtRUZFWwvLy5cvs3LmToUOHArBz50569+5Nt27dOH78OAkJCfw/9u48usZ7/f//cwuZJ4khCSEhCUFCCG2oWRtjDa0YchDCaakaY0hNoYbU0JZqVdEE1UYH1FAUHzRSJVQMlWNqI5zmVEslQkUk+f3hZ39tGUQN0fb1WGuvlX3f7/f1vu57ByuXd667UaNGxVo7MzOT5s2b89///pf169dz+PBhxo4da/yeKcyUKVOYOHEi33//PaVLl6Z3796MHTuW+fPnEx8fz+nTp5k8ebJx/Pz585k3bx5z587lyJEjBAcH8/zzz3Pq1CmTuBMmTCAiIoKkpCR8fHzo1auXsRB78OBBQkJC6NmzJ0ePHiUqKopJkyYRGxtrEmPOnDnUrVuXQ4cOMX78eIYPH2783rxt6tSphISEcOTIEdq3b09oaCiXLl0C4L///S/t27enYcOGHD58mEWLFrFs2TKmT58O3Gq50atXLwYMGEBycjK7du2iW7du5OXlGePv2LHDeO6TTz5hzZo1TJ061SSHov4MAZQqVYoFCxbwww8/sHz5cv7v//6PsWPHAtC4cWPefvtt7O3tSUtLIy0tzfhneejQoezdu5e4uDiOHDlC9+7dadu2bb57faf4+HgCAwNNjhXn+yomJoYOHTrg4ODAv/71L5YtW1Zg/D59+hAfH2/cDfzFF1/g4eFB/fr1C83pttu/LXBnQb1Ro0bEx8cXOicrK4uMjAyTl4iIiIiIiMiTxpB3ZzVB5CH47bffKF++PEePHqVOnTp88MEHvPbaa5w/f964E/D9999n8ODBHDp0iHr16jF9+nTi4+PZunWrMc758+dxd3fnxIkT+Pj40KJFC3JyckwKMo0aNaJVq1ZER0ezbds22rVrx08//YS7uzsAx48fp3bt2uzfv5+GDRtib2/PO++8U+AOwdjYWEaMGMHly5eBWzuE58yZw//+9z/s7OyAW/1Ov/nmG7777juysrJwcnJi+/btBAUFGeMMHDiQa9eu8fHHHxd6jzZu3EjPnj25du0arq6urFu3joYNGxb7HsfFxWFtbY2npydnzpzhtddew9bWlr179xa7F2vv3r1JTU1lz549BZ4fMmQIKSkpfPXVV8CtnaPvvvsup0+fxmAw0LhxY6pVq8ZHH31U4HwPDw9GjBhhfIiZwWBg7dq1dOnShQ8++ICIiAhSUlJwcnK6Z64pKSl4enqydOlSwsPDjfegV69e7Nixg1atWgEQHR1NbGws//nPfwCoVKkSr7zyCq+99poxVqNGjWjYsCHvvvtugXFvf88kJydTs2ZNQkND+fXXX/n666+NMcaOHcumTZv44YcfjNfq6+vL5s2bjWN69uxJRkaG8f4ZDAYmTpzI66+/Dtz6jxRbW1s2b95M27ZtmTBhAl988QXJycnG/rbvvfce48aNIz09naSkJBo0aEBKSgpVq1bNd4/CwsLYsGED586dw9raGrj152zMmDGkp6dTqlSpe/4ZKsjnn3/Oyy+/bNytf/efE7i1M79atWqkpqbi5uZmPN6mTRsaNWrEzJkzC4zt6OjIO++8Y7Lr/F7fV7m5uXh4ePDOO+/QuXNnfvvtNypVqsR//vMfPD09gVv/WdKyZUt+//13+vfvT0BAAJMnT6ZVq1Z06dKFKlWq0LVrV2Mx/c7xjo6OpKWl8eKLL3L27Fl+/PFHzM3NAViwYAFvvfUWP/30U4G5RUVF5SvAA6Snp2Nvb1/gHPlnUcsIeRKoZYSIiIjI31dGRgYODg73/DlUO4TlgZ06dYpevXpRrVo17O3t8fDwADDuyktOTsbf39/k18LvLKDCrVYOO3fuxNbW1viqWbMmgEn7CX9/f5N5rq6uXLhwwbiOu7u7sRgMUKtWLRwdHUlOTgZg1KhRDBw4kDZt2hAdHZ2vtcXdPDw8jMXgu9c7ffo0165d49lnnzXJe8WKFfeM27JlS5KSkvj2229p27YtISEhxrjF0bNnT55//nn8/Pzo0qULGzduJDExsdBf0a9du7Yxv9sPdru9Q7gwgwYN4uuvv+a///0vcKsQePthdsWZX5SkpCQCAgKKVQy+052ff8WKFQHw8/MzOXb7PmZkZPDzzz/TpEkTkxhNmjQxfj8UFNfV1RXA5PuqoBinTp0iJyfHeOzu7+mgoKAi17GxscHe3t5knaCgIJOHnTVp0oTMzEzOnz9P3bp1ad26NX5+fnTv3p0lS5bw+++/m8SvW7eusRh8O4fMzEzOnTtXYA63r/fO773t27fTunVrKlWqhJ2dHX369OHixYtcu3aNwhw9epScnBx8fHxM/izs3r27yD8Lf/zxR752Eff6vtq2bRtXr16lffv2AJQrV45nn33WpDXEnQYMGEBsbCw//vgje/fuJTQ0tNDYlStXxsbGBjc3N65evcoXX3xhLAbDrV3DRd2HyMhI0tPTja8777uIiIiIiIjIk0IPlZMH1qlTJ6pWrcqSJUtwc3MjNzeXOnXq5OtdWpTMzEw6derEG2+8ke/c7QIdkK+9g8FguGebgTtFRUXRu3dvNm3axObNm5kyZQpxcXGF9r4tar3bfVU3bdpEpUqVTMbd6wFvNjY2eHl54eXlxdNPP423tzfLli0jMjKy2Ndyp2rVqlGuXDlOnz5dYDHtq6++Ijs7G/h/vwp/rwfoBQQEULduXVasWMFzzz3HDz/8wKZN/29324M8gO/Pzr3z87hdOL372P18PxQV98/EuZ91bq9V3HXMzMzYtm0b3377LV9//TXvvPMOEyZMYN++fcadsQ+aQ0pKCh07dmTw4MHMmDEDJycn9uzZQ3h4ODdu3DApNt8pMzMTMzMzDh48mG+Huq2tbaG5lCtXLl9R+17fG8uWLePSpUsm43Jzczly5AhTp06lVCnT/+ds164d//73vwkPD6dTp044OzsXGjs+Ph57e3sqVKhg8h9Bt126dKnIBz9aWFg88Q93FBEREREREdEOYXkgFy9e5MSJE0ycOJHWrVvj6+ubr8Dj6+vLkSNHuH79uvHYd999ZzKmfv36/PDDD3h4eBgLpbdfNjY2xcrF19eXc+fOmezKO378OJcvX6ZWrVrGYz4+PowcOZKvv/6abt26ERMT82cunVq1amFhYUFqamq+nO/cpVwcubm5+R7gdj/Onz/PxYsXTYrnd6pataoxt9vFa39/f3bs2FFk3IEDBxIbG0tMTAxt2rQxua7izC+Mv78/SUlJxv65j4K9vT1ubm4kJCSYHE9ISDD5frgXX1/fAmP4+PiYFD/v/p7+7rvv8PX1va919u7da9ITOCEhATs7OypXrgzcKt42adKEqVOncujQIczNzVm7dq1x/OHDh/njjz9McrC1tS329+PBgwfJzc1l3rx5PP300/j4+PDzzz+bjDE3NzfZGQ23/vMgJyeHCxcu5Puz4OLiUuh6AQEBHD9+3ORYUd9XFy9e5MsvvyQuLo6kpCTj69ChQ/z+++8mbT1uK126NH379mXXrl3G/teF8fT0pHr16gUWg+HWgy8DAgKKjCEiIiIiIiLypNMOYXkgZcuWxdnZmQ8++ABXV1dSU1MZP368yZjevXszYcIEBg0aRGRkJCkpKcydO9dkzCuvvMKSJUvo1asXY8eOxcnJidOnTxMXF8fSpUuL1Re3TZs2+Pn5ERoayttvv83NmzcZMmQIzZs3JzAwkD/++IMxY8bw4osv4unpyfnz50lMTOSFF174U9duZ2dHREQEI0eOJDc3l2eeeYb09HQSEhKwt7cvsE/x1atXmTFjBs8//zyurq789ttvvPvuu/z3v/+le/fuxVo3MzOTqVOn8sILL+Di4sKZM2cYO3YsXl5eBAcHFzv/yMhI/Pz8GDJkCC+//DLm5ubs3LmT7t27U65cOeDWZxcREcGSJUtYsWKFyfwpU6bQunVrqlevTs+ePbl58yZfffUV48aNu+favXr1YubMmXTp0oVZs2bh6urKoUOHcHNzy9d64UGMGTOGKVOmUL16derVq0dMTAxJSUmsWrWq2DFGjx5Nw4YNef311+nRowd79+5l4cKFvPfeeybjEhISmD17Nl26dGHbtm189tlnJjuq72XIkCG8/fbbvPrqqwwdOpQTJ04wZcoURo0aRalSpdi3bx87duzgueeeo0KFCuzbt49ff/3VpOh848YNwsPDmThxIikpKUyZMoWhQ4fm2zVbGC8vL7Kzs3nnnXfo1KkTCQkJvP/++yZjPDw8yMzMZMeOHcYWFT4+PoSGhtK3b1/mzZtHQEAAv/76Kzt27MDf358OHQruVxkcHMzy5ctNjhX1fbVy5UqcnZ0JCQkxaa0B0L59e5YtW0bbtm3zrfP6668zZsyYIncHF0d8fLyxB7TIn6HerSIiIiIi8iTQDmF5IKVKlSIuLo6DBw9Sp04dRo4cyZw5c0zG2NrasmHDBo4ePUpAQAATJkzI1xri9k7OnJwcnnvuOfz8/BgxYgSOjo7FLmYZDAa+/PJLypYtS7NmzWjTpg3VqlVj9erVwK1fub948SJ9+/bFx8eHkJAQ2rVrV+BDoIrr9ddfZ9KkScyaNQtfX1/atm3Lpk2bCv0VfjMzM/7zn//wwgsv4OPjQ6dOnbh48SLx8fHUrl270HU8PDyIiooyxjhy5AjPP/88Pj4+hIeH06BBA+Lj4+/r19V9fHz4+uuvOXz4MI0aNSIoKIgvv/yS0qX/3/8TOTg48MILL2Bra0uXLl1M5rdo0YLPPvuM9evXU69ePVq1asX+/fuLtba5uTlff/01FSpUoH379vj5+REdHV3sB+IV17Bhwxg1ahSjR4/Gz8+PLVu2sH79ery9vYsdo379+nz66afExcVRp04dJk+ezLRp0wgLCzMZN3r0aA4cOEBAQADTp0/nzTffvK8CfaVKlfjqq6/Yv38/devW5eWXXzYWd+HWjudvvvmG9u3b4+Pjw8SJE5k3b56xJzRA69at8fb2plmzZvTo0YPnn3/e+H1THHXr1uXNN9/kjTfeoE6dOqxatYpZs2aZjGncuDEvv/wyPXr0oHz58syePRuAmJgY+vbty+jRo6lRowZdunQhMTGRKlWqFLpeaGgoP/zwAydOnDAeK+r76sMPP6Rr1675isEAL7zwAuvXrzc+/O5O5ubmlCtXrsB5xbV3717S09N58cUX/3QMERERERERkSeBIe/O308WkSfOtWvXcHZ2ZvPmzbRo0eKxr9+6dWtq167NggULHvvafxUeHh6MGDGCESNGlFgOYWFhXL58mXXr1pVYDn/GmDFjyMjIYPHixSWdSpF69OhB3bp1ee2114o9p7hPdxURERERERF5GIr7c6h2CIs84Xbu3EmrVq0eezH4999/Z+3atezatYtXXnnlsa4t/xwTJkygatWqj+Qhfg/LjRs38PPzY+TIkSWdioiIiIiIiMgDUw9hkSdchw4dCu3B+igFBATw+++/88Ybb1CjRo3Hvr78Mzg6Ot7XrtuSYG5ubmzdISIiIiIiIvJXp5YRIiLyxEhJScHT05NDhw5Rr169hxbXYDCwdu3afL2wHyW1jBAREREREZHHqbg/h2qHsIiI/O2lpaVRtmzZkk5DREREREREpMSpICwiIn97Li4uJZ2CiMhD5TF+05+alxL9+NtQiYiIiMiTRQ+VExGRR2bLli0888wzODo64uzsTMeOHTlz5ozx/P79+wkICMDS0pLAwEAOHTqUL8axY8do164dtra2VKxYkT59+vDbb78Zz7do0YJhw4YxduxYnJyccHFxISoqyiSGwWBg3bp1wK22FAaDgTVr1tCyZUusra2pW7cue/fuNZmzZ88emjZtipWVFe7u7gwbNoyrV68+vJsjIiIiIiIiUgJUEBYRkUfm6tWrjBo1igMHDrBjxw5KlSpF165dyc3NJTMzk44dO1KrVi0OHjxIVFQUERERJvMvX75Mq1atCAgI4MCBA2zZsoVffvmFkJAQk3HLly/HxsaGffv2MXv2bKZNm8a2bduKzG3ChAlERESQlJSEj48PvXr14ubNmwCcOXOGtm3b8sILL3DkyBFWr17Nnj17GDp0aKHxsrKyyMjIMHmJiIiIiIiIPGn0UDkREXlsfvvtN8qXL8/Ro0f59ttvee211zh//jyWlpYAvP/++wwePNj4ULnp06cTHx/P1q1bjTHOnz+Pu7s7J06cwMfHhxYtWpCTk0N8fLxxTKNGjWjVqhXR0dGA6UPlbj+4bunSpYSHhwNw/PhxateuTXJyMjVr1mTgwIGYmZmxePFiY8w9e/bQvHlzrl69asz3TlFRUUydOjXfcT1UTkQeBbWMEBEREZG7FfehctohLCIij8ypU6fo1asX1apVw97eHg8PDwBSU1NJTk7G39/fpLgaFBRkMv/w4cPs3LkTW1tb46tmzZoAJq0n/P39Tea5urpy4cKFInO7c46rqyuAcc7hw4eJjY01WTc4OJjc3Fx++umnAuNFRkaSnp5ufJ07d67I9UVERERERERKgh4qJyIij0ynTp2oWrUqS5Yswc3NjdzcXOrUqcONGzeKNT8zM5NOnTrxxhtv5Dt3u4gLUKZMGZNzBoOB3NzcImPfOcdgMAAY52RmZvLSSy8xbNiwfPOqVKlSYDwLCwssLCyKXFNERERERESkpKkgLCIij8TFixc5ceIES5YsoWnTpsCttgu3+fr6snLlSq5fv27cJfzdd9+ZxKhfvz5ffPEFHh4elC79+P7Jql+/PsePH8fLy+uxrSkiIiIiIiLyOKggLCIij0TZsmVxdnbmgw8+wNXVldTUVMaPH28837t3byZMmMCgQYOIjIwkJSWFuXPnmsR45ZVXWLJkCb169WLs2LE4OTlx+vRp4uLiWLp0KWZmZo8k93HjxvH0008zdOhQBg4ciI2NDcePH2fbtm0sXLjwkawpInI/1AtYRERERP4s9RAWEZFHolSpUsTFxXHw4EHq1KnDyJEjmTNnjvG8ra0tGzZs4OjRowQEBDBhwoR8rSHc3NxISEggJyeH5557Dj8/P0aMGIGjoyOlSj26f8L8/f3ZvXs3J0+epGnTpgQEBDB58mTc3Nwe2ZoiIiIiIiIij4MhLy8vr6STEBER+bsp7tNdRURERERERB6G4v4cqh3CIiIiIiIiIiIiIv8QKgiLiIiIiIiIiIiI/EOoICwi8g8XFhZGly5dSjzGo9KiRQtGjBhR0mmIiIiIiIiIPBFUEBYRecQ8PDwwGAz5Xq+88spjzSMlJQWDwUBSUtJjXbekrVmzhtdff72k0xARERERERF5IpQu6QRERP7uEhMTycnJMb4/duwYzz77LN27dy/BrP45nJycSjoFEZEnhsf4TSWdgjyBUqI7lHQKIiIi8hhph7CIyCNWvnx5XFxcjK+NGzdSvXp1mjdvXuD42zt5P/30U5o2bYqVlRUNGzbk5MmTJCYmEhgYiK2tLe3atePXX381mbt06VJ8fX2xtLSkZs2avPfee8Zznp6eAAQEBGAwGGjRooXJ3Llz5+Lq6oqzszOvvPIK2dnZAEybNo06derky7NevXpMmjSpwGu4cuUKoaGh2NjY4OrqyltvvZWvdYPBYGDdunUm8xwdHYmNjTW+HzduHD4+PlhbW1OtWjUmTZpkzAsgKiqKevXqsXLlSjw8PHBwcKBnz55cuXLFOObudT08PJg5cyYDBgzAzs6OKlWq8MEHH5jkce7cOUJCQnB0dMTJyYnOnTuTkpJS4LWKiIiIiIiI/JWoICwi8hjduHGDjz76iAEDBmAwGIocO2XKFCZOnMj3339P6dKl6d27N2PHjmX+/PnEx8dz+vRpJk+ebBy/atUqJk+ezIwZM0hOTmbmzJlMmjSJ5cuXA7B//34Atm/fTlpaGmvWrDHO3blzJ2fOnGHnzp0sX76c2NhYY2F2wIABJCcnk5iYaBx/6NAhjhw5Qv/+/QvMfdSoUSQkJLB+/Xq2bdtGfHw833///X3fLzs7O2JjYzl+/Djz589nyZIlvPXWWyZjzpw5w7p169i4cSMbN25k9+7dREdHFxl33rx5BAYGcujQIYYMGcLgwYM5ceIEANnZ2QQHB2NnZ0d8fDwJCQnY2trStm1bbty4UWjMrKwsMjIyTF4iIiIiIiIiTxoVhEVEHqN169Zx+fJlwsLC7jk2IiKC4OBgfH19GT58OAcPHmTSpEk0adKEgIAAwsPD2blzp3H8lClTmDdvHt26dcPT05Nu3boxcuRIFi9eDNzaqQzg7OyMi4uLSSuFsmXLsnDhQmrWrEnHjh3p0KEDO3bsAKBy5coEBwcTExNjHB8TE0Pz5s2pVq1avryvXLnC8uXLmTt3Lq1bt6ZOnTrExMSYtM0orokTJ9K4cWM8PDzo1KkTERERfPrppyZjcnNziY2NpU6dOjRt2pQ+ffoYcy9M+/btGTJkCF5eXowbN45y5coZ7+Xq1avJzc1l6dKl+Pn54evrS0xMDKmpqezatavQmLNmzcLBwcH4cnd3v+/rFREREREREXnUVBAWEXmMli1bRrt27XBzcwPg5ZdfxtbW1vi6k7+/v/HrihUrAuDn52dy7MKFCwBcvXqVM2fOEB4ebhJv+vTpnDlz5p551a5dGzMzM+N7V1dXY2yAQYMG8cknn3D9+nVu3LjBxx9/zIABAwqM9eOPP5KdnU2jRo2MxxwcHKhRo8Y987jb6tWradKkCS4uLtja2jJx4kRSU1NNxnh4eGBnZ1do7gW5894aDAZcXFyMcw4fPszp06exs7Mz3kcnJyeuX79e5L2MjIwkPT3d+Dp37tx9X6+IiIiIiIjIo6aHyomIPCZnz55l+/btJq0apk2bRkRERIHjy5QpY/z6dnuJu4/l5uYCkJmZCcCSJUt46qmnTOLcWegtzJ1x744N0KlTJywsLFi7di3m5uZkZ2fz4osv3jNuUQwGA3l5eSbH7uwPvHfvXkJDQ5k6dSrBwcE4ODgQFxfHvHnz7iv3ghQ1JzMzkwYNGrBq1ap8827vsi6IhYUFFhYWRa4rIiIiIiIiUtJUEBYReUxiYmKoUKECHTr8vyd5V6hQgQoVKjxw7IoVK+Lm5saPP/5IaGhogWPMzc0B/lTrhtKlS9OvXz9iYmIwNzenZ8+eWFlZFTi2WrVqlClThsTERKpUqQJAeno6J0+epFmzZsZx5cuXJy0tzfj+1KlTXLt2zfj+22+/pWrVqkyYMMF47OzZs/ed+/2qX78+q1evpkKFCtjb2z/y9UREREREREQeJxWERUQeg9zcXGJiYujXrx+lSz+av3qnTp3KsGHDcHBwoG3btmRlZXHgwAF+//13Ro0aRYUKFbCysmLLli1UrlwZS0tLHBwcih1/4MCB+Pr6ApCQkFDoODs7O/r168eYMWNwcnKiQoUKTJkyhVKlSpk8SK9Vq1YsXLiQoKAgcnJyGDdunMnOXW9vb1JTU4mLi6Nhw4Zs2rSJtWvX/ok7c39CQ0OZM2cOnTt3Ztq0aVSuXJmzZ8+yZs0axo4dS+XKlR95DiIij0pKdId7DxIRERGRvzX1EBYReQy2b99OampqoX13H4aBAweydOlSYmJi8PPzo3nz5sTGxuLp6Qnc2uW7YMECFi9ejJubG507d76v+N7e3jRu3JiaNWvma0txtzfffJOgoCA6duxImzZtaNKkCb6+vlhaWhrHzJs3D3d3d5o2bUrv3r2JiIjA2traeP75559n5MiRDB06lHr16vHtt98yadKk+8r5z7C2tuabb76hSpUqdOvWDV9fX8LDw7l+/bp2DIuIiIiIiMhfniHv7gaOIiIiBcjLy8Pb25shQ4YwatSo+5p79epVKlWqxLx58wgPD39EGT5ZMjIycHBwID09XYVkEREREREReeSK+3OoWkaIiMg9/frrr8TFxfG///2P/v3733P8oUOH+M9//kOjRo1IT09n2rRpAPe9K1lEREREREREHi4VhEVE5J4qVKhAuXLl+OCDDyhbtmyx5sydO5cTJ05gbm5OgwYNiI+Pp1y5co84UxEREREREREpinoIi8gjFxYWRpcuXUo8BsCuXbswGAxcvny50DGxsbE4Ojoa30dFRVGvXr0HXrs4duzYga+vLzk5OUWOa9GiBSNGjDC+9/Dw4O23334kORkMBtauXcuvv/5K7969izUnICCAgwcPkpmZyaVLl9i2bRt+fn73tW5x7vvd3xd335eHYfz48bz66qsPNaaIiIiIiIhISdEOYZG/uKioKKZOnWpyrEaNGvznP/957LmkpKTg6enJoUOHHlsB9X41btyYtLQ0HBwcij0nIiLisRUEx44dy8SJEzEzMyty3Jo1ayhTpsxDXTsqKop169aRlJT0UOP+WX/mvj+K+xIREUG1atUYOXIk1apVe6ixReT/8Ri/qaRT+EdIie5Q0imIiIiISAnTDmGRv4HatWuTlpZmfO3Zs6ekU3oiZWdnY25ujouLCwaDodjzbG1tcXZ2foSZ3bJnzx7OnDnDCy+8UOiYGzduAODk5ISdnd0jz6kk/Zn7/ijuS7ly5QgODmbRokUPNa6IiIiIiIhISVBBWORvoHTp0ri4uBhf9+rTmpKSgsFg4NNPP6Vp06ZYWVnRsGFDTp48SWJiIoGBgdja2tKuXTt+/fVXk7lLly7F19cXS0tLatasyXvvvWc85+npCdxqF2AwGGjRooXJ3Llz5+Lq6oqzszOvvPIK2dnZAEybNo06derky7NevXpMmjSpwGsoqEVCvXr1iIqKMr43GAwsWrSI559/HhsbG2bMmFFgy4jY2FiqVKmCtbU1Xbt25eLFiyZx725dcLtNQWHXA5CVlUVERASVKlXCxsaGp556il27dhV4LbfFxcXx7LPPYmlpmW/tpUuX4unpaTxXUGuEK1eu0KtXL2xsbKhUqRLvvvuuyfnU1FQ6d+6Mra0t9vb2hISE8MsvvxjvwdSpUzl8+DAGgwGDwUBsbKxx7m+//UbXrl2xtrbG29ub9evXA5CXl4eXlxdz5841WSspKQmDwcDp06eNn8XixYvp2LEj1tbW+Pr6snfvXk6fPk2LFi2wsbGhcePGnDlzptD7npOTw6hRo3B0dMTZ2ZmxY8eSl5dnsm5BrTRmzpzJgAEDsLOzo0qVKnzwwQcmc86dO0dISAiOjo44OTnRuXNnUlJSTMZ06tSJuLg4RERERERERP7qVBAW+Rs4deoUbm5uVKtWjdDQUFJTU4s1b8qUKUycOJHvv/+e0qVL07t3b8aOHcv8+fOJj4/n9OnTTJ482Th+1apVTJ48mRkzZpCcnMzMmTOZNGkSy5cvB2D//v0AbN++nbS0NNasWWOcu3PnTs6cOcPOnTtZvnw5sbGxxoLjgAEDSE5OJjEx0Tj+0KFDHDlyhP79+z/QvYmKiqJr164cPXqUAQMG5Du/b98+wsPDGTp0KElJSbRs2ZLp06ffM25R1wMwdOhQ9u7dS1xcHEeOHKF79+60bduWU6dOFRozPj6ewMDAfMdPnz7NF198wZo1a4ps5zBnzhzq1q3LoUOHGD9+PMOHD2fbtm0A5Obm0rlzZy5dusTu3bvZtm0bP/74Iz169ACgR48ejB492mS3+e1zAFOnTiUkJIQjR47Qvn17QkNDuXTpEgaDgQEDBhATE2OSS0xMDM2aNcPLy8t47PXXX6dv374kJSVRs2ZNevfuzUsvvURkZCQHDhwgLy+PoUOHFnp98+bNIzY2lg8//JA9e/Zw6dIl1q5dW+j4O+cFBgZy6NAhhgwZwuDBgzlx4gRwa9d4cHAwdnZ2xMfHk5CQgK2tLW3btjXuxgZo1KgR58+fz1covlNWVhYZGRkmLxEREREREZEnjQrCIn9xTz31FLGxsWzZsoVFixbx008/0bRpU65cuXLPuREREQQHB+Pr68vw4cM5ePAgkyZNokmTJgQEBBAeHs7OnTuN46dMmcK8efPo1q0bnp6edOvWjZEjR7J48WIAypcvD4CzszMuLi44OTkZ55YtW5aFCxdSs2ZNOnbsSIcOHdixYwcAlStXJjg42KSoGBMTQ/PmzR+4Z2vv3r3p378/1apVo0qVKvnOz58/n7Zt2zJ27Fh8fHwYNmwYwcHB94xb1PWkpqYSExPDZ599RtOmTalevToRERE888wz+Qqndzp79ixubm75jt+4cYMVK1YQEBCAv79/ofObNGnC+PHj8fHx4dVXX+XFF1/krbfeAm49rO7o0aN8/PHHNGjQgKeeeooVK1awe/duEhMTsbKywtbW1mS3uZWVlTF2WFgYvXr1wsvLi5kzZ5KZmWn8D4CwsDBOnDhhfJ+dnc3HH3+crwDfv39/QkJC8PHxYdy4caSkpBAaGmryPVjULuq3336byMhIunXrhq+vL++//36xekG3b9+eIUOG4OXlxbhx4yhXrpzx+3r16tXk5uaydOlS/Pz88PX1JSYmhtTUVJNcbn8uZ8+eLXSdWbNm4eDgYHy5u7vfMzcRERERERGRx00FYZG/uHbt2tG9e3f8/f0JDg7mq6++4vLly3z66acAvPzyy9ja2hpfd7qzuFixYkUA/Pz8TI5duHABgKtXr3LmzBnCw8NN4k2fPt3k1/wLU7t2bZMHpbm6uhpjAwwaNIhPPvmE69evc+PGjQILin9GQTtu75ScnMxTTz1lciwoKOiecYu6nqNHj5KTk4OPj4/Jvdq9e3eR9+qPP/4waRdxW9WqVY3F9qLcnXdQUBDJycnAret0d3c3KVLWqlULR0dH45ii3Pm9YmNjg729vfF63dzc6NChAx9++CEAGzZsICsri+7duxcao7Dvt+vXrxe4szY9PZ20tDSTz6p06dL3/HzvXtdgMODi4mLM/fDhw5w+fRo7Ozvj5+Tk5MT169dNPqvbxfFr164Vuk5kZCTp6enG17lz5+6Zm4iIiIiIiMjjVrqkExCRh8vR0REfHx9j79Zp06YRERFR4NgyZcoYv779kLW7j+Xm5gKQmZkJwJIlS/IVUO8sjBbmzrh3x4ZbPVotLCxYu3Yt5ubmZGdn8+KLLxYar1SpUvn6x97Zw/c2Gxube+b2ZxR1PZmZmZiZmXHw4MF89+buovydypUrx++//57v+KO6hvtxr89v4MCB9OnTh7feeouYmBh69OiBtbV1oTEK+34DTOI+6twzMzNp0KABq1atyjfvziL8pUuX8h27m4WFBRYWFg8jZREREREREZFHRgVhkb+ZzMxMzpw5Q58+fQCoUKECFSpUeOC4FStWxM3NjR9//JHQ0NACx5ibmwO3Hv51v0qXLk2/fv2IiYnB3Nycnj17mrQsuFv58uVJS0szvs/IyOCnn36673V9fX3Zt2+fybHvvvvuvuPcKSAggJycHC5cuEDTpk3va97x48f/9Lp35/3dd9/h6+sL3LrOc+fOce7cOeMu4ePHj3P58mVq1aoF3Pr8/sxnB7faMtjY2LBo0SK2bNnCN99886evoyAODg64urqyb98+mjVrBsDNmzc5ePAg9evX/9Nx69evz+rVq6lQoQL29vaFjjt27BhlypShdu3af3otESlaSnSHkk5BREREROQfQS0jRP7iIiIi2L17NykpKXz77bd07doVMzMzevXq9dDXmjp1KrNmzWLBggWcPHmSo0ePEhMTw5tvvgncKj5bWVmxZcsWfvnlF9LT0+8r/sCBA/m///s/tmzZcs92Ea1atWLlypXEx8dz9OhR+vXrV6ydyncbNmwYW7ZsYe7cuZw6dYqFCxeyZcuW+45zJx8fH0JDQ+nbty9r1qzhp59+Yv/+/cyaNYtNmzYVOi84OJg9e/b86XUTEhKYPXs2J0+e5N133+Wzzz5j+PDhALRp0wY/Pz9CQ0P5/vvv2b9/P3379qV58+bGtgseHh789NNPJCUl8dtvv5GVlVXstc3MzAgLCyMyMhJvb+9itd24X8OHDyc6Opp169bxn//8hyFDhnD58uUHihkaGkq5cuXo3Lkz8fHx/PTTT+zatYthw4Zx/vx547j4+HiaNm1a5H9SiIiIiIiIiPwVqCAs8hd3/vx5evXqRY0aNQgJCcHZ2ZnvvvuuWD1n79fAgQNZunQpMTEx+Pn50bx5c2JjY/H09ARu7fJdsGABixcvxs3Njc6dO99XfG9vbxo3bkzNmjXztaW4W2RkJM2bNzc+0K1Lly5Ur179vq/p6aefZsmSJcyfP5+6devy9ddfM3HixPuOc7eYmBj69u3L6NGjqVGjBl26dCExMbHAB9vdFhoayg8//MCJEyf+1JqjR4/mwIEDBAQEMH36dN58803jA/IMBgNffvklZcuWpVmzZrRp04Zq1aqxevVq4/wXXniBtm3b0rJlS8qXL88nn3xyX+uHh4dz48YN+vfv/6fyv5fRo0fTp08f+vXrR1BQEHZ2dnTt2vWBYlpbW/PNN99QpUoV48PqwsPDuX79usmO4bi4OAYNGvSglyAiIiIiIiJS4gx5dzfhFBEpIXl5eXh7ezNkyBBGjRpV0umUiDFjxpCRkcHixYtLOpX7Fh8fT+vWrTl37pzxoXF/B5s3b2b06NEcOXKE0qWL32kpIyMDBwcH0tPTi2xHISIiIiIiIvIwFPfnUO0QFpEnwq+//srChQv53//+98h2mP4VTJgwgapVqz70B6s9SllZWZw/f56oqCi6d+/+tyoGA1y9epWYmJj7KgaLiIiIiIiIPKlUEBaRJ0KFChWYNm0aH3zwAWXLli3pdEqMo6MjH3zwAQsWLDAeMxgMrFu3DoCUlBQMBgNJSUkPdd0HifvJJ59QtWpVLl++zOzZswsc06JFC0aMGPFgSf4Ju3btwmAwPFCv4RdffPGeLUxERERERERE/ipUEBaRJ0JeXh6//vorvXv3LulUAIiKisJgMJi8atasWeScy5cv88orr+Dq6oqFhQU+Pj589dVXD5xLWloa7dq1e+A4j0pYWBg5OTkcPHiQU6dOPXAB9mFq3LgxaWlpODg4lHQqIiIiIiIiIk8E/f6riEghateuzfbt243vi2oZcOPGDZ599lkqVKjA559/TqVKlTh79iyOjo4PnIeLi8sDx3hQeXl55OTk/OXaJpibmz8R90/kr8Rj/KaSTkEeoZToDiWdgoiIiIiUMO0QFhEpROnSpXFxcTG+ypUrV+jYDz/8kEuXLrFu3TqaNGmCh4cHzZs3p27dukWuceHCBTp16oSVlRWenp6sWrUq35g7W0bc9uOPP9KyZUusra2pW7cue/fuBW71u7W3t+fzzz83Gb9u3TpsbGy4cuUKAPv37ycgIABLS0sCAwM5dOiQyfjbrRY2b95MgwYNsLCwYM+ePWRlZTFs2DAqVKiApaUlzzzzDImJicCtthMtW7YEoGzZshgMBsLCwowxc3NzGTt2LE5OTri4uBAVFWU8N2DAADp27GiSQ3Z2NhUqVGDZsmXArbYTr776KiNGjKBs2bJUrFiRJUuWcPXqVfr374+dnR1eXl5s3rw533Xc3rEcGxuLo6MjW7duxdfXF1tbW9q2bUtaWprJ2kuXLsXX1xdLS0tq1qzJe++9l+9zEREREREREfkrUkFYRKQQp06dws3NjWrVqhEaGkpqamqhY9evX09QUBCvvPIKFStWpE6dOsycOZOcnJwi1wgLC+PcuXPs3LmTzz//nPfee48LFy7cM7cJEyYQERFBUlISPj4+9OrVi5s3b2JjY0PPnj2JiYkxGR8TE8OLL76InZ0dmZmZdOzYkVq1anHw4EGioqKIiIgocJ3x48cTHR1NcnIy/v7+jB07li+++ILly5fz/fff4+XlRXBwMJcuXcLd3Z0vvvgCgBMnTpCWlsb8+fONsZYvX46NjQ379u1j9uzZTJs2jW3btgEwcOBAtmzZYlKY3bhxI9euXaNHjx4mMcqVK8f+/ft59dVXGTx4MN27d6dx48Z8//33PPfcc/Tp04dr164Veu+uXbvG3LlzWblyJd988w2pqakm179q1SomT57MjBkzSE5OZubMmUyaNInly5ff83MRERERERERedKpICwiUoCnnnqK2NhYtmzZwqJFi/jpp59o2rSpcYft3X788Uc+//xzcnJy+Oqrr5g0aRLz5s1j+vTpha5x8uRJNm/ezJIlS3j66adp0KABy5Yt448//rhnfhEREXTo0AEfHx+mTp3K2bNnOX36NHCruLp161ZjcfXChQt89dVXDBgwAICPP/6Y3Nxcli1bRu3atenYsSNjxowpcJ1p06bx7LPPUr16dSwsLFi0aBFz5syhXbt21KpViyVLlmBlZcWyZcswMzPDyckJuPWQQBcXF5Pevf7+/kyZMgVvb2/69u1LYGAgO3bsAG71+q1RowYrV640jo+JiaF79+7Y2toaj9WtW5eJEyfi7e1NZGQklpaWlCtXjkGDBuHt7c3kyZO5ePEiR44cKfTeZWdn8/777xMYGEj9+vUZOnSoMQ+AKVOmMG/ePLp164anpyfdunVj5MiRLF68uMjPJCsri4yMDJOXiIiIiIiIyJNGBWERkQK0a9eO7t274+/vT3BwMF999RWXL1/m008/LXB8bm4uFSpU4IMPPqBBgwb06NGDCRMm8P777wO3dp3a2toaX/Hx8SQnJ1O6dGkaNGhgjFOzZs1i9R329/c3fu3q6gpg3FncqFEjateubdzR+tFHH1G1alWaNWsGYNzta2lpaYwRFBRU4DqBgYHGr8+cOUN2djZNmjQxHitTpgyNGjUiOTn5vnK+nfedu6EHDhxo3Nn8yy+/sHnzZmMRu6AYZmZmODs74+fnZzxWsWJFgCJ3WVtbW1O9evUC87h69SpnzpwhPDzc5POaPn06Z86cKfL6Zs2ahYODg/Hl7u5e5HgRERERERGRkqCCsIhIMTg6OuLj42PchXs3V1dXfHx8MDMzMx7z9fXlf//7Hzdu3OD5558nKSnJ+Lqz0PpnlClTxvi1wWAAbhWlbxs4cCCxsbHArZ22/fv3N467HzY2Ng+U553uzBlu5X1nzn379uXHH39k7969fPTRR3h6etK0adN7xrjXvShOHnl5eQBkZmYCsGTJEpPP69ixY3z33XdFXl9kZCTp6enG17lz54ocLyIiIiIiIlISVBAWESmGzMxMzpw5Y9yNe7cmTZpw+vRpk0LkyZMncXV1xdzc3PjAs9svKysratasyc2bNzl48KBxzokTJ4wPQHsQ//rXvzh79iwLFizg+PHj9OvXz3jO19eXI0eOcP36deOxexU7AapXr465uTkJCQnGY9nZ2SQmJlKrVi0AzM3NAe7ZO7kgzs7OdOnShZiYGGJjY+nfv/99x3hQFStWxM3NjR9//NHk8/Ly8sLT07PIuRYWFtjb25u8RERERERERJ40pUs6ARGRJ1FERASdOnWiatWq/Pzzz0yZMgUzMzN69epV4PjBgwezcOFChg8fzquvvsqpU6eYOXMmw4YNK3SNGjVq0LZtW1566SUWLVpE6dKlGTFiBFZWVg+cf9myZenWrRtjxozhueeeo3LlysZzvXv3ZsKECQwaNIjIyEhSUlKYO3fuPWPa2NgwePBgxowZg5OTE1WqVGH27Nlcu3aN8PBwAKpWrYrBYGDjxo20b98eKysrkx7A9zJw4EA6duxITk6OSRH7cZo6dSrDhg3DwcGBtm3bkpWVxYEDB/j9998ZNWpUieQk8jilRHco6RREREREROQR0g5hEZECnD9/nl69elGjRg1CQkJwdnbmu+++o3z58gCEhYXRokUL43h3d3e2bt1KYmIi/v7+DBs2jOHDhzN+/Pgi14mJicHNzY3mzZvTrVs3/v3vf1OhQoWHcg3h4eHcuHEjXx9eW1tbNmzYwNGjRwkICGDChAm88cYbxYoZHR3NCy+8QJ8+fahfvz6nT59m69atlC1bFoBKlSoxdepUxo8fT8WKFRk6dOh95dymTRtcXV0JDg7Gzc3tvuY+LAMHDmTp0qXExMTg5+dH8+bNiY2NvecOYREREREREZG/AkPe7caJIiJSbM2bN6dly5ZERUWVdCqFWrlyJSNHjuTnn382tnJ40mVmZlKpUiViYmLo1q1bSafzQDIyMnBwcCA9PV3tI0REREREROSRK+7PoWoZISJyn9LT0zlz5gybNm0q6VQKdO3aNdLS0oiOjuall176SxSDc3Nz+e2335g3bx6Ojo48//zzJZ2SiIiIiIiIyN+SWkaIiNwnBwcHzp8/f1+9cR+n2bNnU7NmTVxcXIiMjCzpdIolNTWVihUr8vHHH/Phhx9SurT+v1JERERERETkUVBBWETkL8BgMLBu3bpijY2KiiI7O5sdO3YUWbT28PDg7bfffij5xcbG4ujo+Kfne3h4kJeXx7lz52jduvVDyUlERERERERE8lNBWESkEIsWLcLf3x97e3vs7e0JCgpi8+bNJZJLWloa7dq1e6gxExMT+fe///1QYz6oFi1aMGLEiMe2XlhYGF26dHls64mIiIiIiIiUNP1OrohIISpXrkx0dDTe3t7k5eWxfPlyOnfuzKFDh6hdu/ZjzcXFxeWhxyxfvvxDj/mkyM7OpkyZMiWdhojIE8dj/JPZ/16efCnRHUo6BREREXlItENYRKQQnTp1on379nh7e+Pj48OMGTOwtbXlu+++K3TOuHHj8PHxwdrammrVqjFp0iSys7ON56OioqhXrx4ffvghVapUwdbWliFDhpCTk8Ps2bNxcXGhQoUKzJgxwyTunS0jUlJSMBgMrFmzhpYtW2JtbU3dunXZu3evyZwvvviC2rVrY2FhgYeHB/PmzTM5f2fLiLy8PKKioqhSpQoWFha4ubkxbNgw49jff/+dvn37UrZsWaytrWnXrh2nTp3Kd/3r1q3D29sbS0tLgoODOXfunPFcQbtxR4wYQYsWLYznd+/ezfz58zEYDBgMBn766Se8vLyYO3euybykpCQMBgOnT5823p9Fixbx/PPPY2Njw4wZM8jJySE8PBxPT0+srKyoUaMG8+fPN/ksli9fzpdffmlcb9euXQCcO3eOkJAQHB0dcXJyonPnzqSkpOS7XhEREREREZG/GhWERUSKIScnh7i4OK5evUpQUFCh4+zs7IiNjeX48ePMnz+fJUuW8NZbb5mMOXPmDJs3b2bLli188sknLFu2jA4dOnD+/Hl2797NG2+8wcSJE9m3b1+ROU2YMIGIiAiSkpLw8fGhV69e3Lx5E4CDBw8SEhJCz549OXr0KFFRUUyaNInY2NgCY33xxRe89dZbLF68mFOnTrFu3Tr8/PyM58PCwjhw4ADr169n79695OXl0b59e5Ni97Vr15gxYwYrVqwgISGBy5cv07Nnz3vdWqP58+cTFBTEoEGDSEtLIy0tjSpVqjBgwABiYmJMxsbExNCsWTO8vLyMx6KioujatStHjx5lwIAB5ObmUrlyZT777DOOHz/O5MmTee211/j0008BiIiIICQkhLZt2xrXa9y4MdnZ2QQHB2NnZ0d8fDwJCQnY2trStm1bbty4UezrEREREREREXkSqWWEiEgRjh49SlBQENevX8fW1pa1a9dSq1atQsdPnDjR+LWHhwcRERHExcUxduxY4/Hc3Fw+/PBD7OzsqFWrFi1btuTEiRN89dVXlCpViho1avDGG2+wc+dOnnrqqULXioiIoEOHW7++OXXqVGrXrs3p06epWbMmb775Jq1bt2bSpEkA+Pj4cPz4cebMmUNYWFi+WKmpqbi4uNCmTRvKlClDlSpVaNSoEQCnTp1i/fr1JCQk0LhxYwBWrVqFu7s769ato3v37sCtNg0LFy405rx8+XJ8fX3Zv3+/MVZRHBwcMDc3x9ra2qRFRlhYGJMnTzbGyc7O5uOPP863a7h3797079/f5NjUqVONX3t6erJ3714+/fRTQkJCsLW1xcrKiqysLJP1PvroI3Jzc1m6dCkGgwG4VYB2dHRk165dPPfccwXmn5WVRVZWlvF9RkbGPa9ZRERERERE5HHTDmERkSLUqFGDpKQk9u3bx+DBg+nXrx/Hjx/n5ZdfxtbW1vi6bfXq1TRp0gQXFxdsbW2ZOHEiqampJjE9PDyws7Mzvq9YsSK1atWiVKlSJscuXLhQZG7+/v7Gr11dXQGMc5KTk2nSpInJ+CZNmnDq1ClycnLyxerevTt//PEH1apVY9CgQaxdu9a42zg5OZnSpUubFKednZ2pUaMGycnJxmOlS5emYcOGxvc1a9bE0dHRZMyf4ebmRocOHfjwww8B2LBhA1lZWcZC9G2BgYH55r777rs0aNCA8uXLY2trywcffJDv87jb4cOHOX36NHZ2dsbP18nJievXr3PmzJlC582aNQsHBwfjy93d/U9crYiIiIiIiMijpYKwiEgRzM3N8fLyokGDBsyaNYu6desyf/58pk2bRlJSkvEFsHfvXkJDQ2nfvj0bN27k0KFDTJgwIV+bgbsfdmYwGAo8lpubW2Rud865vZP1XnMK4+7uzokTJ3jvvfewsrJiyJAhNGvWzKQlxIMqVaoUeXl5JseKG3/gwIHExcXxxx9/EBMTQ48ePbC2tjYZY2NjY/I+Li6OiIgIwsPD+frrr0lKSqJ///73bPuQmZlJgwYNTD7fpKQkTp48Se/evQudFxkZSXp6uvF1Z/9kERERERERkSeFWkaIiNyH3NxcsrKyqFChAhUqVDA59+2331K1alUmTJhgPHb27NnHnSIAvr6+JCQkmBxLSEjAx8cHMzOzAudYWVnRqVMnOnXqxCuvvELNmjU5evQovr6+3Lx5k3379hlbRly8eJETJ06YtM+4efMmBw4cMLaHOHHiBJcvX8bX1xeA8uXLc+zYMZM1k5KSTArb5ubmBe5gbt++PTY2NixatIgtW7bwzTff3PMe3G5xMWTIEOOxu3f4FrRe/fr1Wb16NRUqVMDe3v6e69xmYWGBhYVFsceLiIiIiIiIlAQVhEVEChEZGUm7du2oUqUKV65c4eOPP2bXrl1s3bq1wPHe3t6kpqYSFxdHw4YN2bRpE2vXrn3MWd8yevRoGjZsyOuvv06PHj3Yu3cvCxcu5L333itwfGxsLDk5OTz11FNYW1vz0UcfYWVlRdWqVXF2dqZz584MGjSIxYsXY2dnx/jx46lUqRKdO3c2xihTpgyvvvoqCxYsoHTp0gwdOpSnn37aWCBu1aoVc+bMYcWKFQQFBfHRRx9x7NgxAgICjDE8PDzYt28fKSkpxlYNpUqVwszMjLCwMCIjI/H29i7ywX63eXt7s2LFCrZu3YqnpycrV64kMTERT09Pk/W2bt3KiRMncHZ2xsHBgdDQUObMmUPnzp2ZNm0alStX5uzZs6xZs4axY8dSuXLlP/uxiIiUuJToDiWdgoiIiIiUMLWMEBEpxIULF+jbty81atSgdevWJCYmsnXrVp599tkCxz///POMHDmSoUOHUq9ePb799lvjQ90et/r16/Ppp58SFxdHnTp1mDx5MtOmTSvwgXIAjo6OLFmyhCZNmuDv78/27dvZsGEDzs7OwK2HqjVo0ICOHTsSFBREXl4eX331lcnuXmtra8aNG0fv3r1p0qQJtra2rF692ng+ODiYSZMmMXbsWBo2bMiVK1fo27evSR4RERGYmZlRq1Ytypcvb9LvNzw8nBs3buR7cFxhXnrpJbp160aPHj146qmnuHjxosluYYBBgwZRo0YNAgMDKV++PAkJCVhbW/PNN99QpUoVunXrhq+vL+Hh4Vy/fv2+dgyLiIiIiIiIPIkMeXc3dBQREXkCxcfH07p1a86dO0fFihVLOp17ysjIwMHBgfT0dBWSRURERERE5JEr7s+hahkhIiJPtKysLH799VeioqLo3r37X6IYLCIiIiIiIvKkUssIERF5on3yySdUrVqVy5cvM3v27JJOR0REREREROQvTQVhEZG/uJSUFAwGA0lJSSUaAyAsLIwuXbo8UIyCYubk5HDw4EEqVap03/M9PDx4++23H2pOIiIiIiIiIn9VKgiLyD9WWFgYBoOB6Ohok+Pr1q3DYDAAcP36dcLCwvDz86N06dIPvdh5vx5FwfXvLjExkX//+98lnYaIiIiIiIjIE0E9hEXkH83S0pI33niDl156ibJly+Y7n5OTg5WVFcOGDeOLL74ogQzlQZUvX76kUxAReWJ4jN90zzEp0R0eQyYiIiIiUlK0Q1hE/tHatGmDi4sLs2bNKvC8jY0NixYtYtCgQbi4uBQ77u2dvDNnzqRixYo4Ojoybdo0bt68yZgxY3BycqJy5crExMSYzDt37hwhISE4Ojri5ORE586dSUlJASAqKorly5fz5ZdfYjAYMBgM7Nq1yzj3xx9/pGXLllhbW1O3bl327t0LwNWrV7G3t+fzzz83WWvdunXY2Nhw5cqVfPnn5OQQHh6Op6cnVlZW1KhRg/nz5+cbM2rUKBwdHXF2dmbs2LHk5eWZjMnNzWXWrFnGOHXr1jXJY9euXRgMBnbs2EFgYCDW1tY0btyYEydOmMRZtGgR1atXx9zcnBo1arBy5Urjuby8PKKioqhSpQoWFha4ubkxbNgw4/m7W0YYDAaWLl1K165dsba2xtvbm/Xr15usd+zYMdq1a4etrS0VK1akT58+/Pbbb/nuk4iIiIiIiMhfjQrCIvKPZmZmxsyZM3nnnXc4f/78Q439f//3f/z888988803vPnmm0yZMoWOHTtStmxZ9u3bx8svv8xLL71kXDc7O5vg4GDs7OyIj48nISEBW1tb2rZty40bN4iIiCAkJIS2bduSlpZGWloajRs3Nq43YcIEIiIiSEpKwsfHh169enHz5k1sbGzo2bNnvuJzTEwML774InZ2dvlyz83NpXLlynz22WccP36cyZMn89prr/Hpp58ax8ybN4/Y2Fg+/PBD9uzZw6VLl1i7dq1JnFmzZrFixQref/99fvjhB0aOHMm//vUvdu/ebTJuwoQJzJs3jwMHDlC6dGkGDBhgPLd27VqGDx/O6NGjOXbsGC+99BL9+/dn586dAHzxxRe89dZbLF68mFOnTrFu3Tr8/PyK/GymTp1KSEgIR44coX379oSGhnLp0iUALl++TKtWrQgICODAgQNs2bKFX375hZCQkCJjioiIiIiIiPwVqGWEiPzjde3alXr16jFlyhSWLVv20OI6OTmxYMECSpUqRY0aNZg9ezbXrl3jtddeAyAyMpLo6Gj27NlDz549Wb16Nbm5uSxdutTYwzgmJgZHR0d27drFc889h5WVFVlZWQXuVo6IiKBDh1u/5jt16lRq167N6dOnqVmzJgMHDqRx48akpaXh6urKhQsX+Oqrr9i+fXuBuZcpU4apU6ca33t6erJ3714+/fRTY2H07bffJjIykm7dugHw/vvvs3XrVuOcrKwsZs6cyfbt2wkKCgKgWrVq7Nmzh8WLF9O8eXPj2BkzZhjfjx8/ng4dOnD9+nUsLS2ZO3cuYWFhDBkyBIBRo0bx3XffMXfuXFq2bElqaiouLi60adOGMmXKUKVKFRo1alTkZxMWFkavXr0AmDlzJgsWLGD//v20bduWhQsXEhAQwMyZM43jP/zwQ9zd3Tl58iQ+Pj4FxszKyiIrK8v4PiMjo8gcREREREREREqCdgiLiABvvPEGy5cvJzk5+b7mpaamYmtra3zdWUSsXbs2pUr9v79mK1asaLJz1czMDGdnZy5cuADA4cOHOX36NHZ2dsZ4Tk5OXL9+nTNnztwzF39/f+PXrq6uAMbYjRo1onbt2ixfvhyAjz76iKpVq9KsWbNC47377rs0aNCA8uXLY2trywcffEBqaioA6enppKWl8dRTTxnHly5dmsDAQOP706dPc+3aNZ599lmTe7RixYp811NU7snJyTRp0sRkfJMmTYyfVffu3fnjjz+oVq0agwYNYu3atdy8ebPY98rGxgZ7e3uTz2Hnzp0mOdesWROgyM9h1qxZODg4GF/u7u5F5iAiIiIiIiJSErRDWEQEaNasGcHBwURGRhIWFlbseW5ubiQlJRnfOzk5Gb8uU6aMyViDwVDgsdzcXAAyMzNp0KABq1atyrdOcR6Mdmfs2zuMb8cGGDhwIO+++y7jx48nJiaG/v37G8fdLS4ujoiICObNm0dQUBB2dnbMmTOHffv23TOP2zIzMwHYtGkTlSpVMjlnYWFxX7kXxd3dnRMnTrB9+3a2bdvGkCFDmDNnDrt37853vwta7/aad34OnTp14o033sg373axuiCRkZGMGjXK+D4jI0NFYREREREREXniqCAsIvL/i46Opl69etSoUaPYc0qXLo2Xl9dDWb9+/fqsXr2aChUqYG9vX+AYc3NzcnJy/lT8f/3rX4wdO5YFCxZw/Phx+vXrV+jYhIQEGjdubGzTAKa7Yx0cHHB1dWXfvn3GXcY3b97k4MGD1K9fH4BatWphYWFBamqqSXuI++Xr60tCQoJJvgkJCdSqVcv43srKik6dOtGpUydeeeUVatasydGjR4253I/69evzxRdf4OHhQenSxf9n0sLCIl+hW0RERERERORJo4KwiMj/z8/Pj9DQUBYsWGBy/Pjx49y4cYNLly5x5coV447gevXqPdT1Q0NDmTNnDp07d2batGlUrlyZs2fPsmbNGsaOHUvlypXx8PBg69atnDhxAmdnZxwcHIodv2zZsnTr1o0xY8bw3HPPUbly5ULHent7s2LFCrZu3YqnpycrV64kMTERT09P45jhw4cTHR2Nt7c3NWvW5M033+Ty5cvG83Z2dkRERDBy5Ehyc3N55plnSE9PJyEhAXt7+yIL0ncaM2YMISEhBAQE0KZNGzZs2MCaNWuM/Y9jY2PJycnhqaeewtramo8++ggrKyuqVq1a7Htzp1deeYUlS5bQq1cvxo4di5OTE6dPnyYuLo6lS5diZmb2p+KKiDwJUqI7lHQKIiIiIlLC1ENYROQO06ZNy9eqoH379gQEBLBhwwZ27dpFQEAAAQEBD31ta2trvvnmG6pUqUK3bt3w9fUlPDyc69evG3cMDxo0iBo1ahAYGEj58uVJSEi4rzXCw8O5ceMGAwYMKHLcSy+9RLdu3ejRowdPPfUUFy9eNNktDDB69Gj69OlDv379jG0lunbtajLm9ddfZ9KkScyaNQtfX1/atm3Lpk2bTArL99KlSxfmz5/P3LlzqV27NosXLyYmJoYWLVoA4OjoyJIlS2jSpAn+/v5s376dDRs24OzsXOw17uTm5kZCQgI5OTk899xz+Pn5MWLECBwdHU16QouIiIiIiIj8FRny8vLySjoJERF5PFauXMnIkSP5+eefMTc3L+l0/tYyMjJwcHAgPT290BYgIiIiIiIiIg9LcX8OVcsIEZF/gGvXrpGWlkZ0dDQvvfSSisEiIiIiIiIi/1D63VcRkX+A2bNnU7NmTVxcXIiMjCzpdERERERERESkhKggLCLyF2QwGFi3bl2h53ft2oXBYDA+5C0qKors7Gx27NiBra3t40nyPt2d88Nyr3slIiIiIiIi8k+igrCI/O2FhYVhMBiIjo42Ob5u3ToMBkMJZXVLixYtGDFiRInmUBQPDw/efvvtkk7jgaSlpdGuXbuSTkNERERERETkiaAewiLyj2Bpackbb7zBSy+9RNmyZUs6HXmMXFxcSjoFkQfiMX5TSacgfyMp0R1KOgURERERKWHaISwi/wht2rTBxcWFWbNmFXvOmTNn6Ny5MxUrVsTW1paGDRuyfft2kzFZWVmMGzcOd3d3LCws8PLyYtmyZcbzx44do127dtja2lKxYkX69OnDb7/9Btzaubx7927mz5+PwWDAYDDw008/4eXlxdy5c03WSUpKwmAwcPr06fu67oSEBPz9/bG0tOTpp5/m2LFjJuf37NlD06ZNsbKywt3dnWHDhnH16lXg1u7ls2fPMnLkSGN+ABcvXqRXr15UqlQJa2tr/Pz8+OSTT+6Zy8qVKwkMDMTOzg4XFxd69+7NhQsXCh1fnHVatGjBsGHDGDt2LE5OTri4uBAVFWUy5s6WESkpKRgMBtasWUPLli2xtrambt267N27t9j3RUREREREROSvTAVhEflHMDMzY+bMmbzzzjucP3++WHMyMzNp3749O3bs4NChQ7Rt25ZOnTqRmppqHNO3b18++eQTFixYQHJyMosXLzb26L18+TKtWrUiICCAAwcOsGXLFn755RdCQkIAmD9/PkFBQQwaNIi0tDTS0tKoUqUKAwYMICYmxiSXmJgYmjVrhpeX131d95gxY5g3bx6JiYmUL1+eTp06kZ2dDdwqeLdt25YXXniBI0eOsHr1avbs2cPQoUMBWLNmDZUrV2batGnG/ACuX79OgwYN2LRpE8eOHePf//43ffr0Yf/+/UXmkp2dzeuvv87hw4dZt24dKSkphIWFFTq+uOssX74cGxsb9u3bx+zZs5k2bRrbtm0rMpcJEyYQERFBUlISPj4+9OrVi5s3bxbrvhQmKyuLjIwMk5eIiIiIiIjIk8aQl5eXV9JJiIg8SmFhYVy+fJl169YRFBRErVq1WLZsGevWraNr167cz1+DderU4eWXX2bo0KGcPHmSGjVqsG3bNtq0aZNv7PTp04mPj2fr1q3GY+fPn8fd3Z0TJ07g4+NDixYtqFevnkmf3p9//pkqVarw7bff0qhRI7Kzs3Fzc2Pu3Ln069cPuLXrde3atXTp0qXAPHft2kXLli2Ji4ujR48eAFy6dInKlSsTGxtLSEgIAwcOxMzMjMWLFxvn7dmzh+bNm3P16lUsLS3x8PBgxIgR9+xz3LFjR2rWrJlvZ3NRDhw4QMOGDbly5Qq2trbGnH///XccHR2LtU6LFi3IyckhPj7eOKZRo0a0atXK2DP6znuVkpKCp6cnS5cuJTw8HIDjx49Tu3ZtkpOTqVmzZrHuS0GioqKYOnVqvuPp6enY29sX+76I3E0tI+RhUssIERERkb+vjIwMHBwc7vlzqHYIi8g/yhtvvMHy5ctJTk42OW5ra2t8vfzyy8CtHcIRERH4+vri6OiIra0tycnJxh3CSUlJmJmZ0bx58wLXOnz4MDt37jSJXbNmTeDWLtTCuLm50aFDBz788EMANmzYQFZWFt27dy9w/O2WFLa2ttSuXdvkXFBQkPFrJycnatSoYbz2w4cPExsba5JfcHAwubm5/PTTT4Xml5OTw+uvv46fnx9OTk7Y2tqydetW431ZtWqVSczbxdqDBw/SqVMnqlSpgp2dnfG+3bnj+n7Wuc3f39/kvaura5GtKO6e4+rqCmCc82fvS2RkJOnp6cbXuXPnisxBREREREREpCTooXIi8o/SrFkzgoODiYyMNGlXkJSUZPz69v+iRUREsG3bNubOnYuXlxdWVla8+OKL3LhxAwArK6si18rMzKRTp0688cYb+c7dLkIWZuDAgfTp04e33nqLmJgYevTogbW1dYFjly5dyh9//AFAmTJliox7d34vvfQSw4YNy3euSpUqhc6bM2cO8+fP5+2338bPzw8bGxtGjBhhvC/PP/88Tz31lHF8pUqVuHr1KsHBwQQHB7Nq1SrKly9PamoqwcHBxnn3u85td1+zwWAgNze3yGu/c87t3si35/zZ+2JhYYGFhUWR64qIiIiIiIiUNBWEReQfJzo6mnr16lGjRg3jsYJ68yYkJBAWFkbXrl2BW4XClJQU43k/Pz9yc3PZvXt3gS0j6tevzxdffIGHhwelSxf81625uTk5OTn5jrdv3x4bGxsWLVrEli1b+Oabbwq9nkqVKhV67rvvvjMWMX///XdOnjyJr6+vMb/jx48X2Ze4oPwSEhLo3Lkz//rXv4BbhdSTJ09Sq1YtAOzs7LCzszOZc/DgQS5evEh0dDTu7u7ArZYRRbnXOo9Kce6LiIiIiIiIyF+VCsIi8o/j5+dHaGgoCxYsKHKct7c3a9asoVOnThgMBiZNmmSy89TDw4N+/foxYMAAFixYQN26dTl79iwXLlwgJCSEV155hSVLltCrVy/Gjh2Lk5MTp0+fJi4ujqVLl2JmZoaHhwf79u0jJSUFW1tbnJycKFWqFGZmZoSFhREZGYm3t7dJ64f7MW3aNJydnalYsSITJkygXLlyxr7D48aN4+mnn2bo0KEMHDgQGxsbjh8/zrZt21i4cKHxGr/55ht69uyJhYUF5cqVw9vbm88//5xvv/2WsmXL8uabb/LLL78UWaitUqUK5ubmvPPOO7z88sscO3aM119//Z73/37XeRiKc19EHif1fBURERERkYdJPYRF5B9p2rRp92wr8Oabb1K2bFkaN25Mp06dCA4Opn79+iZjFi1axIsvvsiQIUOoWbMmgwYN4urVq8CtXsAJCQnk5OTw3HPP4efnx4gRI3B0dKRUqVt//UZERGBmZkatWrWMbRRuCw8P58aNG/Tv3/9PX2d0dDTDhw+nQYMG/O9//2PDhg2Ym5sDt/ro7t69m5MnT9K0aVMCAgKYPHkybm5uJvcpJSWF6tWrU758eQAmTpxI/fr1CQ4OpkWLFri4uBT6cLvbypcvT2xsLJ999hm1atUiOjr6ng+g+zPrPAzFuS8iIiIiIiIif1WGvLy8vJJOQkRE8ouPj6d169acO3eOihUrlnQ6cp+K+3RXERERERERkYehuD+HqmWEiMgTJisri19//ZWoqCi6d++uYrCIiIiIiIiIPDRqGSEi8oT55JNPqFq1KpcvX2b27NklnY6IiIiIiIiI/I2oICwi8oQJCwsjJyeHgwcPUqlSpXznY2NjcXR0LDJGVFQU9erVezQJPgLFuSYREREREREReXAqCIuIFMOiRYvw9/fH3t4ee3t7goKC2Lx5c4nk0qNHD06ePFkiaz8qJXVNYWFhj+VBdSIiIiIiIiJPCvUQFhEphsqVKxMdHY23tzd5eXksX76czp07c+jQIWrXrv1Q1sjJycFgMFCqVNH/V2dlZYWVldVDWfNB5OXlkZOTQ+nSD/5PyZNyTSIif3ce4zc9lnVSojs8lnVERERE5P5ph7CISDF06tSJ9u3b4+3tjY+PDzNmzMDW1pbvvvuuwPG7du3CYDBw+fJl47GkpCQMBgMpKSnA/2uTsH79emrVqoWFhQWpqalkZWURERFBpUqVsLGx4amnnmLXrl3GOAW1V4iOjqZixYrY2dkRHh7O9evXTc7n5uYybdo0KleujIWFBfXq1WPLli3G8ykpKRgMBuLi4mjcuDGWlpbUqVOH3bt357umzZs306BBAywsLNizZw9ZWVkMGzaMChUqYGlpyTPPPENiYmK+eZs2bcLf3x9LS0uefvppjh07VuQ1LVq0iOrVq2Nubk6NGjVYuXKlyXmDwcDSpUvp2rUr1tbWeHt7s379euP5nJwcwsPD8fT0xMrKiho1ajB//nzj+aioKJYvX86XX36JwWDAYDAY7/O5c+cICQnB0dERJycnOnfubPzcRERERERERP7KVBAWEblPOTk5xMXFcfXqVYKCgh4o1rVr13jjjTdYunQpP/zwAxUqVGDo0KHs3buXuLg4jhw5Qvfu3Wnbti2nTp0qMMann35KVFQUM2fO5MCBA7i6uvLee++ZjJk/fz7z5s1j7ty5HDlyhODgYJ5//vl8MceMGcPo0aM5dOgQQUFBdOrUiYsXL5qMGT9+PNHR0SQnJ+Pv78/YsWP54osvWL58Od9//z1eXl4EBwdz6dKlfLHnzZtHYmIi5cuXp1OnTmRnZxd4TWvXrmX48OGMHj2aY8eO8dJLL9G/f3927txpMm7q1KmEhIRw5MgR2rdvT2hoqHHd3NxcKleuzGeffcbx48eZPHkyr732Gp9++ikAERERhISE0LZtW9LS0khLS6Nx48ZkZ2cTHByMnZ0d8fHxJCQkYGtrS9u2bblx40ahn2VWVhYZGRkmLxEREREREZEnjQrCIiLFdPToUWxtbbGwsODll19m7dq11KpV64FiZmdn895779G4cWNq1KjBb7/9RkxMDJ999hlNmzalevXqRERE8MwzzxATE1NgjLfffpvw8HDCw8OpUaMG06dPz5fX3LlzGTduHD179qRGjRq88cYb1KtXj7fffttk3NChQ3nhhRfw9fVl0aJFODg4sGzZMpMx06ZN49lnn6V69epYWFiwaNEi5syZQ7t27ahVqxZLlizBysoq37wpU6bw7LPP4ufnx/Lly/nll19Yu3Ztgdc0d+5cwsLCGDJkCD4+PowaNYpu3boxd+5ck3FhYWH06tULLy8vZs6cSWZmJvv37wegTJkyTJ06lcDAQDw9PQkNDaV///7GgrCtrS1WVlZYWFjg4uKCi4sL5ubmrF69mtzcXJYuXYqfnx++vr7ExMSQmppqslP7brNmzcLBwcH4cnd3L3SsiIiIiIiISElRQVhEpJhq1KhBUlIS+/btY/DgwfTr14/jx4/z8ssvY2tra3zdD3Nzc/z9/Y3vjx49Sk5ODj4+PiYxd+/ezZkzZwqMkZyczFNPPWVy7M6dyxkZGfz88880adLEZEyTJk1ITk4udF7p0qUJDAzMNyYwMND49ZkzZ8jOzjaJXaZMGRo1alRkbCcnJ2rUqJFvzJ3XVJx877x3NjY22Nvbc+HCBeOxd999lwYNGlC+fHlsbW354IMPSE1NLXDN2w4fPszp06exs7Mz3n8nJyeuX79e6GcAEBkZSXp6uvF17ty5ItcRERERERERKQl6qJyISDGZm5vj5eUFQIMGDUhMTGT+/Pm8/vrrREREmIy9/WC4vLw847GC2iNYWVlhMBiM7zMzMzEzM+PgwYOYmZmZjL3fYvOjYmNjU9IpGJUpU8bkvcFgIDc3F4C4uDgiIiKYN28eQUFB2NnZMWfOHPbt21dkzMzMTBo0aMCqVavynStfvnyh8ywsLLCwsPgTVyEiIiIiIiLy+GiHsIjIn5Sbm0tWVhYVKlTAy8vL+IL/VzhMS0szjk9KSrpnzICAAHJycrhw4YJJTC8vL1xcXAqc4+vrm6/IeefD7uzt7XFzcyMhIcFkTEJCQr7WEnfOu3nzJgcPHsTX17fQfG8/9O3O2NnZ2SQmJhYZ+/fff+fkyZOFxvb19S1WvkVJSEigcePGDBkyhICAALy8vPLt8DU3NycnJ8fkWP369Tl16lS+z9XLywsHB4diry8iIiIiIiLyJNIOYRGRYoiMjKRdu3ZUqVKFK1eu8PHHH7Nr1y62bt1a4HgvLy/c3d2JiopixowZnDx5knnz5t1zHR8fH0JDQ+nbty/z5s0jICCAX3/9lR07duDv70+HDh3yzRk+fDhhYWEEBgbSpEkTVq1axQ8//EC1atWMY8aMGcOUKVOoXr069erVIyYmhqSkpHy7YN999128vb3x9fXlrbfe4vfff2fAgAGF5mtjY8PgwYMZM2YMTk5OVKlShdmzZ3Pt2jXCw8NNxk6bNg1nZ2cqVqzIhAkTKFeuHF26dCkw7pgxYwgJCSEgIIA2bdqwYcMG1qxZw/bt2+95D2/z9vZmxYoVbN26FU9PT1auXEliYiKenp7GMR4eHmzdupUTJ07g7OyMg4MDoaGhzJkzh86dOzNt2jQqV67M2bNnWbNmDWPHjqVy5crFzkFE5EmTEp3/3xERERER+WdRQVhEpBguXLhA3759SUtLw8HBAX9/f7Zu3cqzzz5b4PgyZcrwySefMHjwYPz9/WnYsCHTp0+ne/fu91wrJiaG6dOnM3r0aP773/9Srlw5nn76aTp27Fjg+B49enDmzBnGjh3L9evXeeGFFxg8eLBJsXrYsGGkp6czevRoLly4QK1atVi/fj3e3t4msaKjo4mOjiYpKQkvLy/Wr19PuXLlisw3Ojqa3Nxc+vTpw5UrVwgMDGTr1q2ULVs237jhw4dz6tQp6tWrx4YNGzA3Ny8wZpcuXZg/fz5z585l+PDheHp6EhMTQ4sWLe55/2576aWXOHToED169MBgMNCrVy+GDBnC5s2bjWMGDRrErl27CAwMJDMzk507d9KiRQu++eYbxo0bR7du3bhy5QqVKlWidevW2NvbF3t9ERERERERkSeRIe/OBpciIvKPlJKSgqenJ4cOHaJevXoPNfauXbto2bIlv//+O46Ojg819pMsIyMDBwcH0tPTVUgWERERERGRR664P4eqh7CIiIiIiIiIiIjIP4QKwiIiIiIiIiIiIiL/ECoIi4gIHh4e5OXlPXC7iJSUFAwGA0lJScZjLVq0IC8vr8TaRcTGxv6jWlWIiIiIiIiIFEUFYRER+Vvr0aMHJ0+eLOk0RERERERERJ4IpUs6ARERkUfJysoKKyurkk5DROSJ4DF+U0mn8JeXEt2hpFMQEREReSDaISwiIoXasmULzzzzDI6Ojjg7O9OxY0fOnDljPL9//34CAgKwtLQkMDCQQ4cO5Ytx7Ngx2rVrh62tLRUrVqRPnz789ttvxvMtWrRg2LBhjB07FicnJ1xcXIiKijKJkZqaSufOnbG1tcXe3p6QkBB++eUX4/nDhw/TsmVL7OzssLe3p0GDBhw4cADI3zIiKiqKevXqsXLlSjw8PHBwcKBnz55cuXLFOCY3N5dZs2bh6emJlZUVdevW5fPPP3/Q2ykiIiIiIiJS4lQQFhGRQl29epVRo0Zx4MABduzYQalSpejatSu5ublkZmbSsWNHatWqxcGDB4mKiiIiIsJk/uXLl2nVqhUBAQEcOHCALVu28MsvvxASEmIybvny5djY2LBv3z5mz57NtGnT2LZtG3CrONu5c2cuXbrE7t272bZtGz/++CM9evQwzg8NDaVy5cokJiZy8OBBxo8fT5kyZQq9rjNnzrBu3To2btzIxo0b2b17N9HR0cbzs2bNYsWKFbz//vv88MMPjBw5kn/961/s3r270JhZWVlkZGSYvERERERERESeNGoZISIihXrhhRdM3n/44YeUL1+e48eP8+2335Kbm8uyZcuwtLSkdu3anD9/nsGDBxvHL1y4kICAAGbOnGkSw93dnZMnT+Lj4wOAv78/U6ZMAcDb25uFCxeyY8cOnn32WXbs2MHRo0f56aefcHd3B2DFihXUrl2bxMREGjZsSGpqKmPGjKFmzZrGGEXJzc0lNjYWOzs7APr06cOOHTuYMWMGWVlZzJw5k+3btxMUFARAtWrV2LNnD4sXL6Z58+YFxpw1axZTp04t9r0VERERERERKQnaISwiIoU6deoUvXr1olq1atjb2+Ph4QHcauGQnJyMv78/lpaWxvG3C6i3HT58mJ07d2Jra2t83S7a3tl6wt/f32Seq6srFy5cACA5ORl3d3djMRigVq1aODo6kpycDMCoUaMYOHAgbdq0ITo62iR2QTw8PIzF4LvXO336NNeuXePZZ581yXvFihVFxo2MjCQ9Pd34OnfuXJE5iIiIiIiIiJQE7RAWEZFCderUiapVq7JkyRLc3NzIzc2lTp063Lhxo1jzMzMz6dSpE2+88Ua+c66ursav727vYDAYyM3NLXaeUVFR9O7dm02bNrF582amTJlCXFwcXbt2LXB8UetlZmYCsGnTJipVqmQyzsLCotAcLCwsijwvIiIiIiIi8iRQQVhERAp08eJFTpw4wZIlS2jatCkAe/bsMZ739fVl5cqVXL9+3bhL+LvvvjOJUb9+fb744gs8PDwoXfrP/ZPj6+vLuXPnOHfunHGX8PHjx7l8+TK1atUyjvPx8cHHx4eRI0fSq1cvYmJiCi0IF6VWrVpYWFiQmppaaHsIERERERERkb8qFYRFRKRAZcuWxdnZmQ8++ABXV1dSU1MZP3688Xzv3r2ZMGECgwYNIjIykpSUFObOnWsS45VXXmHJkiX06tWLsWPH4uTkxOnTp4mLi2Pp0qWYmZndM482bdrg5+dHaGgob7/9Njdv3mTIkCE0b96cwMBA/vjjD8aMGcOLL76Ip6cn58+fJzExMV//4+Kys7MjIiKCkSNHkpubyzPPPEN6ejoJCQnY29vTr1+/PxVXRORJkBLdoaRTEBEREZESph7CIiJSoFKlShEXF8fBgwepU6cOI0eOZM6cOcbztra2bNiwgaNHjxIQEMCECRPytYZwc3MjISGBnJwcnnvuOfz8/BgxYgSOjo6UKlW8f4IMBgNffvklZcuWpVmzZrRp04Zq1aqxevVqAMzMzLh48SJ9+/bFx8eHkJAQ2rVr90APeHv99deZNGkSs2bNwtfXl7Zt27Jp0yY8PT3/dEwRERERERGRJ4EhLy8vr6STEBER+bvJyMjAwcGB9PR07O3tSzodERERERER+Zsr7s+h2iEsIiIiIiIiIiIi8g+hgrCIiIiIiIiIiIjIP4QKwiIi8reWkpKCwWAgKSmppFMRERERERERKXGlSzoBERGRR8nd3Z20tDTKlStX0qmIiIiIiIiIlDgVhEVE5G/NzMwMFxeXkk5DROSJ4DF+k/HrlOgOJZiJiIiIiJQUtYwQEZFCXblyhdDQUGxsbHB1deWtt96iRYsWjBgxAgCDwcC6detM5jg6OhIbG2t8P27cOHx8fLC2tqZatWpMmjSJ7Oxs4/moqCjq1avHypUr8fDwwMHBgZ49e3LlyhXjmKysLIYNG0aFChWwtLTkmWeeITEx0Xj+999/JzQ0lPLly2NlZYW3tzcxMTFA/pYRu3btwmAwsGPHDgIDA7G2tqZx48acOHHC5Dq+/PJL6tevj6WlJdWqVWPq1KncvHnzIdxVERERERERkZKjgrCIiBRq1KhRJCQksH79erZt20Z8fDzff//9fcWws7MjNjaW48ePM3/+fJYsWcJbb71lMubMmTOsW7eOjRs3snHjRnbv3k10dLTx/NixY/niiy9Yvnw533//PV5eXgQHB3Pp0iUAJk2axPHjx9m8eTPJycksWrToni0iJkyYwLx58zhw4AClS5dmwIABxnPx8fH07duX4cOHc/z4cRYvXkxsbCwzZswoNF5WVhYZGRkmLxEREREREZEnjQrCIiJSoCtXrrB8+XLmzp1L69atqVOnDjExMeTk5NxXnIkTJ9K4cWM8PDzo1KkTERERfPrppyZjcnNziY2NpU6dOjRt2pQ+ffqwY8cOAK5evcqiRYuYM2cO7dq1o1atWixZsgQrKyuWLVsGQGpqKgEBAQQGBuLh4UGbNm3o1KlTkXnNmDGD5s2bU6tWLcaPH8+3337L9evXAZg6dSrjx4+nX79+VKtWjWeffZbXX3+dxYsXFxpv1qxZODg4GF/u7u73dZ9EREREREREHgf1EBYRkQL9+OOPZGdn06hRI+MxBwcHatSocV9xVq9ezYIFCzhz5gyZmZncvHkTe3t7kzEeHh7Y2dkZ37u6unLhwgXg1u7h7OxsmjRpYjxfpkwZGjVqRHJyMgCDBw/mhRde4Pvvv+e5556jS5cuNG7cuMi8/P39TdYDuHDhAlWqVOHw4cMkJCSY7AjOycnh+vXrXLt2DWtr63zxIiMjGTVqlPF9RkaGisIiIiIiIiLyxNEOYRER+dMMBgN5eXkmx+7sD7x3715CQ0Np3749Gzdu5NChQ0yYMIEbN26YzClTpky+uLm5ucXOo127dpw9e5aRI0fy888/07p1ayIiIoqcc+eaBoMBwLhmZmYmU6dOJSkpyfg6evQop06dwtLSssB4FhYW2Nvbm7xEREREREREnjTaISwiIgWqVq0aZcqUITExkSpVqgCQnp7OyZMnadasGQDly5cnLS3NOOfUqVNcu3bN+P7bb7+latWqTJgwwXjs7Nmz95VH9erVMTc3JyEhgapVqwK3is6JiYnGh9vdzqVfv37069ePpk2bMmbMGObOnXvf1w1Qv359Tpw4gZeX15+aLyLypEqJ7lDSKYiIiIhICVNBWERECmRnZ0e/fv0YM2YMTk5OVKhQgSlTplCqVCnjjtpWrVqxcOFCgoKCyMnJYdy4cSY7b729vUlNTSUuLo6GDRuyadMm1q5de1952NjYMHjwYGMeVapUYfbs2Vy7do3w8HAAJk+eTIMGDahduzZZWVls3LgRX1/fP33tkydPpmPHjlSpUoUXX3yRUqVKcfjwYY4dO8b06dP/dFwRERERERGRkqaWESIiUqg333yToKAgOnbsSJs2bWjSpAm+vr7Gtgnz5s3D3d2dpk2b0rt3byIiIkz66z7//POMHDmSoUOHUq9ePb799lsmTZp033lER0fzwgsv0KdPH+rXr8/p06fZunUrZcuWBcDc3JzIyEj8/f1p1qwZZmZmxMXF/enrDg4OZuPGjXz99dc0bNiQp59+mrfeesu4Q1lERERERETkr8qQd3fzRxERkUJcvXqVSpUqMW/ePOPuXClYRkYGDg4OpKenq5+wiIiIiIiIPHLF/TlULSNERKRQhw4d4j//+Q+NGjUiPT2dadOmAdC5c+cSzkxERERERERE/gy1jBAR+Ytp0aKF8WFqHh4evP3228ZzBoOBdevWPdT15s6di5eXF82bN+fq1avEx8dTrly5h7qGiIiIiIiIiDwe2iEsIvIXlpiYiI2NzSOLHxAQwMGDBzEYDKxcuZIuXbo8srUeRFhYGJcvX77vYnhUVBTr1q0jKSnpkeQlIiIiIiIi8qRRQVhE5C+sfPnyJZ0CANnZ2ZQpU+ahx71x4wbm5uYPPa6IyD+Vx/hNJZ1CiUqJ7lDSKYiIiIiUOLWMEBF5gl29epW+fftia2uLq6sr8+bNMzl/d8sIgN9++42uXbtibW2Nt7c369evByAvLw8vLy/mzp1rMj4pKQmDwcDp06cBOHXqFM2aNcPS0pJatWqxbds2k/EpKSkYDAZWr15N8+bNsbS0ZNWqVeTm5jJt2jQqV66MhYUF9erVY8uWLSZzjx49SqtWrbCyssLZ2Zl///vfZGZmGs+HhYXRpUsXZsyYgZubGzVq1LjnvKioKJYvX86XX36JwWDAYDCwa9cuAMaNG4ePjw/W1tZUq1aNSZMmkZ2dDUBsbCxTp07l8OHDxnmxsbEAXL58mYEDB1K+fHns7e1p1aoVhw8fvp+PTkREREREROSJpIKwiMgTbMyYMezevZsvv/ySr7/+ml27dvH9998XOWfq1KmEhIRw5MgR2rdvT2hoKJcuXcJgMDBgwABiYmJMxsfExNCsWTO8vLzIzc2lW7dumJubs2/fPt5//33GjRtX4Drjx49n+PDhJCcnExwczPz585k3bx5z587lyJEjBAcH8/zzz3Pq1CngVnE7ODiYsmXLkpiYyGeffcb27dsZOnSoSdwdO3Zw4sQJtm3bxsaNG+85LyIigpCQENq2bUtaWhppaWk0btwYADs7O2JjYzl+/Djz589nyZIlvPXWWwD06NGD0aNHU7t2beO8Hj16ANC9e3cuXLjA5s2bOXjwIPXr16d169ZcunTpPj9BERERERERkSeLCsIiIk+ozMxMli1bxty5c2ndujV+fn4sX76cmzdvFjkvLCyMXr164eXlxcyZM8nMzGT//v3GcydOnDC+z87O5uOPP2bAgAEAbN++nf/85z+sWLGCunXr0qxZM2bOnFngOiNGjKBbt254enri6urK3LlzGTduHD179qRGjRq88cYb1KtXz7iD+eOPP+b69eusWLGCOnXq0KpVKxYuXMjKlSv55ZdfjHFtbGxYunQptWvXpnbt2vecZ2tri5WVFRYWFri4uODi4mJsMzFx4kQaN26Mh4cHnTp1IiIigk8//RQAKysrbG1tKV26tHGelZUVe/bsYf/+/Xz22WcEBgbi7e3N3LlzcXR05PPPPy/0vmdlZZGRkWHyEhEREREREXnSqCAsIvKEOnPmDDdu3OCpp54yHnNycjK2USiMv7+/8WsbGxvs7e25cOECAG5ubnTo0IEPP/wQgA0bNpCVlUX37t0BSE5Oxt3dHTc3N2OMoKCgAtcJDAw0fp2RkcHPP/9MkyZNTMY0adKE5ORkY+y6deuaPASvSZMm5ObmcuLECeMxPz8/k77BxZ1XkNWrV9OkSRNcXFywtbVl4sSJpKamFjnn8OHDZGZm4uzsjK2trfH1008/cebMmULnzZo1CwcHB+PL3d29yHVERERERERESoIKwiIifzN3P9zNYDCQm5trfD9w4EDi4uL4448/iImJoUePHlhbW9/3OncWaB+mhxV37969hIaG0r59ezZu3MihQ4eYMGECN27cKHJeZmYmrq6uJCUlmbxOnDjBmDFjCp0XGRlJenq68XXu3LmHch0iIiIiIiIiD5MKwiIiT6jq1atTpkwZ9u3bZzz2+++/c/LkyQeK2759e2xsbFi0aBFbtmwxtosA8PX15dy5c6SlpRmPfffdd/eMaW9vj5ubGwkJCSbHExISqFWrljH24cOHuXr1qsn5UqVKFbnruTjzzM3NycnJMZn37bffUrVqVSZMmGBs/XD27FmTMQXNq1+/Pv/73/8oXbo0Xl5eJq9y5coVmqeFhQX29vYmLxEREREREZEnTemSTkBERApma2tLeHg4Y8aMwdnZmQoVKjBhwgRKlXqw/8szMzMjLCyMyMhIvL29TVpCtGnTBh8fH/r168ecOXPIyMhgwoQJxYo7ZswYpkyZQvXq1alXrx4xMTEkJSWxatUqAEJDQ5kyZQr9+vUjKiqKX3/9lVdffZU+ffpQsWLFQuMWZ56Hhwdbt27lxIkTODs74+DggLe3N6mpqcTFxdGwYUM2bdrE2rVrTWJ7eHjw008/kZSUROXKlbGzs6NNmzYEBQXRpUsXZs+ejY+PDz///DObNm2ia9euJq0yRET+alKiO5R0CiIiIiJSwrRDWETkCTZnzhyaNm1Kp06daNOmDc888wwNGjR44Ljh4eHcuHGD/v37mxwvVaoUa9eu5Y8//qBRo0YMHDiQGTNmFCvmsGHDGDVqFKNHj8bPz48tW7awfv16vL29AbC2tmbr1q1cunSJhg0b8uKLL9K6dWsWLlxYZNzizBs0aBA1atQgMDCQ8uXLk5CQwPPPP8/IkSMZOnQo9erV49tvv2XSpEkmsV944QXatm1Ly5YtKV++PJ988gkGg4GvvvqKZs2a0b9/f3x8fOjZsydnz54tsnAtIiIiIiIi8ldgyMvLyyvpJERE5PGKj4+ndevWnDt3TkXORyQjIwMHBwfS09PVPkJEREREREQeueL+HKqWESIi/yBZWVn8+uuvREVF0b17dxWDRURERERERP5h1DJCROQf5JNPPqFq1apcvnyZ2bNnl3Q6IiIiIiIiIvKYqSAsIvIPEhYWRk5ODgcPHqRSpUolnc59i42NxdHRscgxUVFR1KtXz/g+LCyMLl26PNK8RERERERERP4qVBAWEZEnkoeHB2+//bbJsR49enDy5Mn7ijN//nxiY2MfXmIiIiIiIiIif2HqISwiIn8ZVlZWWFlZ3dccBweHR5SNiMhfj8f4TSWdwkOREt2hpFMQERER+cvSDmEREXlkcnNzmT17Nl5eXlhYWFClShVmzJhBq1atGDp0qMnYX3/9FXNzc3bs2EGLFi04e/YsI0eOxGAwYDAYgIJbRkRHR1OxYkXs7OwIDw/n+vXrJufvbhnRokULhg0bxtixY3FycsLFxYWoqCiTOZcvX2bgwIGUL18ee3t7WrVqxeHDhx/afREREREREREpKSoIi4jIIxMZGUl0dDSTJk3i+PHjfPzxx1SsWJGBAwfy8ccfk5WVZRz70UcfUalSJVq1asWaNWuoXLky06ZNIy0tjbS0tALjf/rpp0RFRTFz5kwOHDiAq6sr77333j3zWr58OTY2Nuzbt4/Zs2czbdo0tm3bZjzfvXt3Lly4wObNmzl48CD169endevWXLp06cFvioiIiIiIiEgJUssIERF5JK5cucL8+fNZuHAh/fr1A6B69eo888wzXL9+naFDh/Lll18SEhIC3Nr9GxYWhsFgwMnJCTMzM+zs7HBxcSl0jbfffpvw8HDCw8MBmD59Otu3b8+3S/hu/v7+TJkyBQBvb28WLlzIjh07ePbZZ9mzZw/79+/nwoULWFhYADB37lzWrVvH559/zr///e8CY2ZlZZkUuDMyMop5p0REREREREQeH+0QFhGRRyI5OZmsrCxat26d75ylpSV9+vThww8/BOD777/n2LFjhIWF3fcaTz31lMmxoKCge87z9/c3ee/q6sqFCxcAOHz4MJmZmTg7O2Nra2t8/fTTT5w5c6bQmLNmzcLBwcH4cnd3v69rEREREREREXkctENYREQeiXs9/G3gwIHUq1eP8+fPExMTQ6tWrahatepjya1MmTIm7w0GA7m5uQBkZmbi6urKrl278s27u3/xnSIjIxk1apTxfUZGhorCIiIiIiIi8sTRDmEREXkkvL29sbKyYseOHQWe9/PzIzAwkCVLlvDxxx8zYMAAk/Pm5ubk5OQUuYavry/79u0zOfbdd989UN7169fnf//7H6VLl8bLy8vkVa5cuULnWVhYYG9vb/ISERERERERedJoh7CIiDwSlpaWjBs3jrFjx2Jubk6TJk349ddf+eGHH4w9fwcOHMjQoUOxsbGha9euJvM9PDz45ptv6NmzJxYWFgUWY4cPH05YWBiBgYE0adKEVatW8cMPP1CtWrU/nXebNm0ICgqiS5cuzJ49Gx8fH37++Wc2bdpE165dCQwM/NOxRURKWkp0h5JOQURERERKmHYIi4jIIzNp0iRGjx7N5MmT8fX1pUePHsZevQC9evWidOnS9OrVC0tLS5O506ZNIyUlherVq1O+fPkC4/fo0YNJkyYxduxYGjRowNmzZxk8ePAD5WwwGPjqq69o1qwZ/fv3x8fHh549e3L27FkqVqz4QLFFRERERERESpohLy8vr6STEBGRf6bbBd/ExETq169f0uk8VBkZGTg4OJCenq72ESIiIiIiIvLIFffnULWMEBGRxy47O5uLFy8yceJEnn766b9dMVhERERERETkSaWWESIi8tglJCTg6upKYmIi77//fkmnIyIiIiIiIvKPoYKwiIiwa9cuDAYDly9ffiwxWrRoQV5eHidOnMDPz+++1jEYDKxbt67Q8ykpKRgMBpKSku47LxEREREREZG/OxWERUTuMmvWLBo2bIidnR0VKlSgS5cunDhxwmSMh4cHu3btumesH374gZCQEMqXL4+FhQU+Pj5MnjyZa9euPaLs761FixaMGDGixNYvrqioKOrVq5fveFpaGu3atSt2nMaNG5OWloaDg8NDzE5ERERERETkr0k9hEVE7rJ7925eeeUVGjZsyM2bN3nttdd47rnnOH78ODY2NsWO891339GmTRvatGnDpk2bqFixIvv372f06NHs2LGDnTt3Ym5u/giv5O/JxcXlvsabm5vf9xx5uDzGbyrpFETk/5cS3aGkUxARERGREqYdwiIid9myZQthYWHUrl2bunXrEhsbS2pqKgcPHix2jLy8PMLDw/H19WXNmjU0atSIqlWr0r17dzZs2MDevXt56623iozRokULXn31VUaMGEHZsmWpWLEiS5Ys4erVq/Tv3x87Ozu8vLzYvHmzybxjx47Rrl07bG1tqVixIn369OG3334DICwsjN27dzN//nwMBgMGg4GUlBTj3IMHDxIYGIi1tTWNGzc27oxOSUmhVKlSHDhwwGStt99+m6pVq5Kbm1vgNSQkJNCiRQusra0pW7YswcHB/P7776xYsQJnZ2eysrJMxnfp0oU+ffoQGxvL1KlTOXz4sDHP2NhYIH/LiP379xMQEIClpSWBgYEcOnTIJObdLSNiY2NxdHRk69at+Pr6YmtrS9u2bUlLSzOZt3TpUnx9fbG0tKRmzZq89957hX9YIiIiIiIiIn8RKgiLiNxDeno6AE5OTsWek5SUxPHjxxk1ahSlSpn+VVu3bl3atGnDJ598cs84y5cvp1y5cuzfv59XX32VwYMH0717dxo3bsz333/Pc889R58+fYwtKC5fvkyrVq0ICAjgwIEDbNmyhV9++YWQkBAA5s+fT1BQEIMGDSItLY20tDTc3d2N602YMIF58+Zx4MABSpcuzYABA4BbLTLatGlDTEyMSX4xMTGEhYXlu8bb96B169bUqlWLvXv3smfPHjp16kROTg7du3cnJyeH9evXG8dfuHCBTZs2MWDAAHr06MHo0aOpXbu2Mc8ePXrkWyMzM5OOHTtSq1YtDh48SFRUFBEREfe8r9euXWPu3LmsXLmSb775htTUVJN5q1atYvLkycyYMYPk5GRmzpzJpEmTWL58+T1ji4iIiIiIiDzJ1DJCRKQIubm5jBgxgiZNmlCnTh3j8Tt31Rbk5MmTAPj6+hZ43tfXlz179txz/bp16zJx4kQAIiMjiY6Oply5cgwaNAiAyZMns2jRIo4cOcLTTz/NwoULCQgIYObMmcYYH374Ie7u7pw8eRIfHx/Mzc2xtrYusI3CjBkzaN68OQDjx4+nQ4cOXL9+HUtLSwYOHMjLL7/Mm2++iYWFBd9//z1Hjx7lyy+/LDD32bNnExgYaLKztnbt2save/fuTUxMDN27dwfgo48+okqVKrRo0QKDwYCtrS2lS5cust3Dxx9/TG5uLsuWLcPS0pLatWtz/vx5Bg8eXOR9zc7O5v3336d69eoADB06lGnTphnPT5kyhXnz5tGtWzcAPD09OX78OIsXL6Zfv34FxszKyjLZ8ZyRkVFkDiIiIiIiIiIlQTuERUSK8Morr3Ds2DHi4uIKHXO7PYOtra1JwRNutY64l/j4eON8W1tbVq1aZTzn7+9v/NrMzAxnZ2f8/PyMxypWrAjc2l0LcPjwYXbu3GkSr2bNmgCcOXPmnrncuZ6rq6tJ7C5dumBmZsbatWuBW60XWrZsiYeHR4Gxbu8QLsygQYP4+uuv+e9//2uMFxYWhsFguGeetyUnJ+Pv74+lpaXxWFBQ0D3nWVtbG4vBcOtab1/n1atXOXPmDOHh4Sb3cfr06UXew1mzZuHg4GB83bnzWkRERERERORJoR3CIiKFGDp0KBs3buSbb76hcuXKhY5bunQpf/zxBwBlypQBwMfHB7hVsAwICMg3Jzk52TgmMDCQpKQk47nbRd474/1/7N15WE/5+/jx57so7SkhSoVKkpQsMUOIsidkG0qK+djGkqVhTNlnLGObsU9hjG2sg7E1soRsUxhNlo/kMxPGVrJUqt8ffp2vt4oyCHM/rut9Xc45r+U+p8Zc3e7uk0elUqmdy0ue5vXwTU9Pp3379nz11Vf59sxL8L7Ii9bW0tKiT58+RERE4Ovry48//sjcuXMLXUtHR+eFe7m4uODs7MzKlStp1aoVv//+Ozt2vJ2XjxX0XPOS9+np6QAsXbqUBg0aqI3T1NQsdM3Q0FBGjBihHKelpUlSWAghhBBCCCHEO0cSwkII8Zzc3FyGDBnC5s2biY6OxsbG5oXjK1eunO9cnTp1qFGjBt988w3du3dX67EbHx/Pvn37mDZtGvA0cVq9evXXErurqysbN27E2tqaUqUK/iteS0uL7OzsV1o/KCiIWrVq8d133/HkyROlpUJBateuTVRUFOHh4S9cb86cOfz55594enqqJVCLEqeDgwOrVq1S2loAHDt2rJh3pa5ChQpUqlSJ//73v/Tq1avI87S1tdHW1v5HewshhBBCCCGEEG+aJISFEOI5gwYN4scff2Tr1q0YGBhw/fp1AIyMjF5a9ZpHpVKxfPlyWrZsSefOnQkNDaVixYrExsYycuRI3N3dGTZs2BuJfenSpfTo0YPRo0djYmLCpUuXWLt2LcuWLUNTUxNra2tiY2NJSkpCX1+/WC/Lc3BwoGHDhowZM4bAwMAXPo/Q0FCcnJwYOHAgn376KVpaWuzfv5+uXbtSrlw54Gkf4ZCQEJYuXcrKlSvV5ltbW3PlyhXi4uKwsLDAwMAgX8K1Z8+ejBs3juDgYEJDQ0lKSmLmzJnFeGIFCw8PZ+jQoRgZGeHt7U1GRgYnT57k7t27alXAomiSprct6RCEEEIIIYQQQvx/0kNYCCGes3DhQlJTU/Hw8MDc3Fz5rFu3rljrNGrUiGPHjqGpqUnr1q2pXr06oaGh+Pv7s3fv3jdSTVqpUiViYmLIzs6mVatWODk5MWzYMIyNjZUq5ZCQEDQ1NalZsyZmZmYkJycXa49+/fqRmZlJYGDgC8fZ2dmxZ88e4uPjqV+/Pu7u7mzdulWtctnIyIjOnTujr6+Pj4+P2vzOnTvj7e1Ns2bNMDMzY82aNfn20NfX5+eff+bs2bO4uLgwbty4AttlFFdQUBDLli0jIiICJycnmjZtSmRk5EurxYUQQgghhBBCiHedKrcobzwSQggh/r9JkyaxYcMGzpw581rWa9GiBY6OjsybN++1rPeuSEtLw8jIiNTUVAwNDUs6HCGEEEIIIYQQH7ii/hwqLSOEEEIUSXp6OklJSSxYsIDJkyf/4/Xu3r1LdHQ00dHRfPfdd68hQiGEEEIIIYQQQryMJISFEEIUyeDBg1mzZg0+Pj4vbRdRFC4uLty9e5evvvoKe3v71xChEEIIIYQQQgghXkZ6CAshhHih6OhoVCoVc+bMISMjg3Xr1qGpqflKa9y7d085l5SURGpqKiEhIcVay9ramjlz5rxwjEqlYsuWLco+KpWKuLi4Yu0jhBBCCCGEEEJ8iCQhLIQQxTBt2jTq1auHgYEB5cuXx8fHh8TERLUx1tbWREdHv3St33//HT8/P8zMzNDW1sbOzo4JEybw8OHDNxT9y3l4eDBs2LAS278oTpw4Qf/+/Ys83tLSkpSUFGrVqvUGoxJCCCGEEEIIId4P0jJCCCGK4cCBAwwaNIh69erx5MkTPv/8c1q1asX58+fR09Mr8jrHjh3D09MTT09PduzYQYUKFTh+/DgjR44kKiqK/fv3o6Wl9Qbv5P2TmZmJlpYWZmZmxZqnqalJxYoV31BUQvw7WY/dUdIhiFeUNL1tSYcghBBCCCFKmFQICyFEMezatYuAgAAcHR1xdnYmMjKS5ORkTp06VeQ1cnNz6devHw4ODmzatIn69etjZWVF165d+fnnnzl69CjffPPNC9fw8PBgyJAhDBs2jLJly1KhQgWWLl3KgwcP6Nu3LwYGBlSvXp1ffvlFbd65c+do3bo1+vr6VKhQgd69e3Pr1i0AAgICOHDgAHPnzkWlUqFSqUhKSlLmnjp1Cjc3N3R1dWnUqJFSGZ2UlISGhgYnT55U22vOnDlYWVmRk5OTL/6wsDDq1KmTb7y1tbVyHBAQgI+PD1OmTKFSpUpKn+HnW0ZcvHiRJk2aUKZMGWrWrMnevXvV1n2+ZURe+4qoqKgC7yfP1q1bcXV1pUyZMlStWpXw8HCePHlS8BdECCGEEEIIIYR4T0hCWAgh/oHU1FQATExMijwnLi6O8+fPM2LECDQ01P8adnZ2xtPTkzVr1rx0nRUrVlCuXDmOHz/OkCFD+M9//kPXrl1p1KgRp0+fplWrVvTu3VtpQXHv3j2aN2+Oi4sLJ0+eZNeuXdy4cQM/Pz8A5s6di7u7O8HBwaSkpJCSkoKlpaWy37hx45g1axYnT56kVKlSyovlrK2t8fT0JCIiQi2+iIgIAgIC8t1jcURFRZGYmMjevXvZvn17vus5OTn4+vqipaVFbGwsixYtYsyYMUVau7D7ATh06BB9+vThs88+4/z58yxevJjIyEimTJlS6HoZGRmkpaWpfYQQQgghhBBCiHeNJISFEOIV5eTkMGzYMBo3bqzWnzYpKQkPD49C5124cAEABweHAq87ODgoY17E2dmZ8ePHY2trS2hoKGXKlKFcuXIEBwdja2vLhAkTuH37NmfOnAFgwYIFuLi4MHXqVGrUqIGLiwvff/89+/fv58KFCxgZGaGlpYWuri4VK1akYsWKai+PmzJlCk2bNqVmzZqMHTuWI0eO8PjxYwCCgoJYs2YNGRkZAJw+fZqzZ8/St2/fl97Hi+jp6bFs2TIcHR1xdHTMd33fvn388ccfrFy5EmdnZ5o0acLUqVOLtPaL7ic8PJyxY8fi7+9P1apVadmyJZMmTWLx4sWFrjdt2jSMjIyUz7PJdCGEEEIIIYQQ4l0hCWEhhHhFgwYN4ty5c6xdu7bQMXntGfT19fMlNHNzc1+6x6FDh5T5+vr6rF69WrlWu3Zt5c+ampqYmpri5OSknKtQoQIAN2/eBCA+Pp79+/errVejRg0ALl++/NJYnt3P3NxcbW0fHx80NTXZvHkzAJGRkTRr1kytBcSrcHJyemEv5YSEBCwtLalUqZJyzt3dvUhrv+h+4uPjmThxotqzyqucLuylf6GhoaSmpiqfa9euFSkOIYQQQgghhBDibZKXygkhxCsYPHgw27dv5+DBg1hYWBQ6btmyZTx69AiA0qVLA2BnZwc8TWa6uLjkm5OQkKCMcXNzU3rfwv8leZ9dL49KpVI7p1KpAJQevunp6bRv356vvvoq3555CdEXedHaWlpa9OnTh4iICHx9ffnxxx+ZO3duoWtpaGjkS4hnZWXlG1ecF/UV18ueVXh4OL6+vvnmlSlTpsD1tLW10dbWfgORCiGEEEIIIYQQr48khIUQohhyc3MZMmQImzdvJjo6GhsbmxeOr1y5cr5zderUoUaNGnzzzTd0795drcdufHw8+/btY9q0aQDo6OhQvXr11xK7q6srGzduxNramlKlCv7rX0tLi+zs7FdaPygoiFq1avHdd9/x5MmTApOpeczMzLh+/Tq5ublKMvbZxHdROTg4cO3aNVJSUpSk9rFjx14p/me5urqSmJj42p69EEIIIYQQQgjxrpCEsBBCFMOgQYP48ccf2bp1KwYGBly/fh0AIyMjdHR0irSGSqVi+fLltGzZks6dOxMaGkrFihWJjY1l5MiRuLu7M2zYsDcS+9KlS+nRowejR4/GxMSES5cusXbtWpYtW4ampibW1tbExsaSlJSEvr5+sV6W5+DgQMOGDRkzZgyBgYEvfB4eHh78/ffffP3113Tp0oVdu3bxyy+/YGhoWKx78vT0xM7ODn9/f2bMmEFaWhrjxo0r1hoFmTBhAu3ataNKlSp06dIFDQ0N4uPjOXfuHJMnT/7H6wvxvkua3rakQxBCCCGEEEK8IukhLIQQxbBw4UJSU1Px8PDA3Nxc+axbt65Y6zRq1Ihjx46hqalJ69atqV69OqGhofj7+7N379430nqgUqVKxMTEkJ2dTatWrXBycmLYsGEYGxsrVcohISFoampSs2ZNzMzMSE5OLtYe/fr1IzMzk8DAwBeOc3Bw4LvvvuPbb7/F2dmZ48ePExISUux70tDQYPPmzTx69Ij69esTFBTElClTir3O87y8vNi+fTt79uyhXr16NGzYkG+++QYrK6t/vLYQQgghhBBCCFGSVLlFeauREEIIUQSTJk1iw4YNnDlzpqRDKXFpaWkYGRmRmppa7MpnIYQQQgghhBCiuIr6c6hUCAshhPjH0tPTOXfuHAsWLGDIkCElHY4QQgghhBBCCCEKIQlhIYQQ/9jgwYOpW7cuHh4eL20XIYQQQgghhBBCiJIjCWEhhBD/WGRkJBkZGaxbtw5NTc2Xjvfw8HgjL84rSFhYGHXq1HkrewkhhBBCCCGEEO866SEshBDirbtz5w6lS5fGwMDgje+Vnp5ORkYGpqamb3yvZ0kPYSGEEEIIIYQQb1NRfw4t9RZjEkIIIQAwMTF5a3vp6+ujr6//1vYTQoh3mfXYHSUdgihE0vS2JR2CEEIIIf4lpGWEEEKIt+7ZlhHW1tZMnTqVwMBADAwMqFKlCkuWLFEbf/bsWZo3b46Ojg6mpqb079+f9PR05Xp0dDT169dHT08PY2NjGjduzNWrV4H8LSMCAgLw8fFh5syZmJubY2pqyqBBg8jKylLGZGRkEBISQuXKldHT06NBgwZER0e/sechhBBCCCGEEEK8LZIQFkIIUeJmzZqFm5sbv/32GwMHDuQ///kPiYmJADx48AAvLy/Kli3LiRMn2LBhA/v27WPw4MEAPHnyBB8fH5o2bcqZM2c4evQo/fv3R6VSFbrf/v37uXz5Mvv372fFihVERkYSGRmpXB88eDBHjx5l7dq1nDlzhq5du+Lt7c3FixcLXTMjI4O0tDS1jxBCCCGEEEII8a6RhLAQQogS16ZNGwYOHEj16tUZM2YM5cqVY//+/QD8+OOPPH78mJUrV1KrVi2aN2/OggULWLVqFTdu3CAtLY3U1FTatWtHtWrVcHBwwN/fnypVqhS6X9myZVmwYAE1atSgXbt2tG3blqioKACSk5OJiIhgw4YNfPzxx1SrVo2QkBA++ugjIiIiCl1z2rRpGBkZKR9LS8vX+5CEEEIIIYQQQojXQBLCQgghSlzt2rWVP6tUKipWrMjNmzcBSEhIwNnZGT09PWVM48aNycnJITExERMTEwICAvDy8qJ9+/bMnTuXlJSUF+7n6OiIpqamcmxubq7sd/bsWbKzs7Gzs1P6D+vr63PgwAEuX75c6JqhoaGkpqYqn2vXrr3SsxBCCCGEEEIIId4keamcEEKIEle6dGm1Y5VKRU5OTpHnR0REMHToUHbt2sW6desYP348e/fupWHDhsXeLz09HU1NTU6dOqWWNAZe+HI6bW1ttLW1ixyzEEIIIYQQQghREqRCWAghxDvNwcGB+Ph4Hjx4oJyLiYlBQ0MDe3t75ZyLiwuhoaEcOXKEWrVq8eOPP77Sfi4uLmRnZ3Pz5k2qV6+u9qlYseI/vh8hhBBCCCGEEKIkSYWwEEKId1qvXr348ssv8ff3JywsjL///pshQ4bQu3dvKlSowJUrV1iyZAkdOnSgUqVKJCYmcvHiRfr06fNK+9nZ2dGrVy/69OnDrFmzcHFx4e+//yYqKoratWvTtm3b13yHQgjx9iRNl7/DhBBCCCH+7SQhLIQQ4p2mq6vL7t27+eyzz6hXrx66urp07tyZ2bNnK9f/+OMPVqxYwe3btzE3N2fQoEEMGDDglfeMiIhg8uTJjBw5kj///JNy5crRsGFD2rVr97puSwghhBBCCCGEKBGq3Nzc3JIOQgghhPjQpKWlYWRkRGpqKoaGhiUdjhBCCCGEEEKID1xRfw6VHsJCCCGEEEIIIYQQQgjxLyEJYSGEEEIIIYQQQgghhPiXkISwEOKtCQsLo06dOiUdxmuRlJSESqUiLi6upEPBw8ODYcOGvXBMZGQkxsbGbyWexMREKlasyP3799/Kfq/DokWLaN++fUmHIYQQQgghhBBCvHGSEBZCvDUhISFERUWVdBgfnE2bNjFp0iTl2Nramjlz5qiN6datGxcuXHgr8YSGhjJkyBAMDAyUc7m5uSxZsoQGDRqgr6+PsbExbm5uzJkzh4cPHwKwdOlSPv74Y8qWLUvZsmXx9PTk+PHj+dZPSEigQ4cOGBkZoaenR7169UhOTi40nsePHxMQEICTkxOlSpXCx8cn35jAwEBOnz7NoUOH8l2Ljo4mLCys+A9CCCGEEEIIIYR4B5Uq6QCEEP8e+vr66Ovrl3QY742srCxKly790nEmJiYvHaOjo4OOjs7rCOuFkpOT2b59O/Pnz1c737t3bzZt2sT48eNZsGABZmZmxMfHM2fOHKytrfHx8SE6OpoePXrQqFEjypQpw1dffUWrVq34/fffqVy5MgCXL1/mo48+ol+/foSHh2NoaMjvv/9OmTJlCo0pOzsbHR0dhg4dysaNGwsco6WlRc+ePZk3bx4ff/wx8LRq2NfXVxmTmZnJ/PnzGTp0aJG+LkII8S6yHrujpEMQb1nS9LYlHYIQQggh3jFSISyEeC3+/vtvKlasyNSpU5VzR44cQUtLS6kKfr5lREBAAD4+PkydOpUKFSpgbGzMxIkTefLkCaNGjcLExAQLCwsiIiLU9rp27Rp+fn4YGxtjYmJCx44dSUpKyrfuzJkzMTc3x9TUlEGDBpGVlaWMuXv3Ln369KFs2bLo6urSunVrLl68CMCDBw8wNDTkp59+Utt3y5Yt6OnpFdoK4ffff6ddu3YYGhpiYGDAxx9/zOXLlwE4ceIELVu2pFy5chgZGdG0aVNOnz6tNl+lUrFw4UI6dOiAnp4eU6ZMUZ7ZqlWrsLa2xsjIiO7du6vF8GzLCA8PD65evcrw4cNRqVSoVCogf8uIoqybk5PDtGnTsLGxQUdHB2dn53zP5Hnr16/H2dlZSeDmnVu9ejVr1qzh888/p169elhbW9OxY0d+/fVXmjVrBsDq1asZOHAgderUoUaNGixbtoycnBy1qvJx48bRpk0bvv76a1xcXKhWrRodOnSgfPnyhcakp6fHwoULCQ4OpmLFioWOa9++Pdu2bePRo0cAWFpa0qFDBzZv3szvv/9O8+bNla+TEEIIIYQQQgjxvpKEsBDitTAzM+P7778nLCyMkydPcv/+fXr37s3gwYNp0aJFofN+/fVX/vrrLw4ePMjs2bP58ssvadeuHWXLliU2NpZPP/2UAQMG8L///Q94WjXr5eWFgYEBhw4dIiYmBn19fby9vcnMzFTW3b9/P5cvX2b//v2sWLGCyMhIIiMjlesBAQGcPHmSbdu2cfToUXJzc2nTpg1ZWVno6enRvXv3fInoiIgIunTpotYKIc+ff/5JkyZN0NbW5tdff+XUqVMEBgby5MkTAO7fv4+/vz+HDx/m2LFj2Nra0qZNm3zJ5bCwMDp16sTZs2cJDAwEnlbFbtmyhe3bt7N9+3YOHDjA9OnTC3yemzZtwsLCgokTJ5KSkkJKSkqhz/5l606bNo2VK1eyaNEifv/9d4YPH84nn3zCgQMHCl3z0KFDuLm5qZ1bvXo19vb2dOzYMd94lUqFkZFRgWs9fPiQrKwspQI6JyeHHTt2YGdnh5eXF+XLl6dBgwZs2bJFbV5AQAAeHh6FxlgYNzc3njx5QmxsLABt27Zl9+7d7Nmzh507dzJ//nxGjhxJqVIF/3JNRkYGaWlpah8hhBBCCCGEEOJdIy0jhBCvTZs2bQgODqZXr164ubmhp6fHtGnTXjjHxMSEefPmoaGhgb29PV9//TUPHz7k888/B572o50+fTqHDx+me/furFu3jpycHJYtW6ZUakZERGBsbEx0dDStWrUCoGzZsixYsABNTU1q1KhB27ZtiYqKIjg4mIsXL7Jt2zZiYmJo1KgR8DRpaWlpyZYtW+jatStBQUE0atSIlJQUzM3NuXnzJjt37mTfvn0F3se3336LkZERa9euVdoJ2NnZKdfzqkvzLFmyBGNjYw4cOEC7du2U8z179qRv375qY3NycoiMjFQS0b179yYqKoopU6YU+Dw1NTUxMDB4YTXsy9bNyMhg6tSp7Nu3D3d3dwCqVq3K4cOHWbx4MU2bNi1wzatXr+ZLCF+8eBF7e/sXxlKQMWPGUKlSJTw9PQG4efMm6enpTJ8+ncmTJ/PVV1+xa9cufH192b9/vxKTubk5OTk5xd5PV1cXIyMjrl69CsCuXbsIDw+nVatW/PXXXwwdOpQuXbowePBgNDU1882fNm0a4eHhxd5XCCGEEEIIIYR4m6RCWAjxWs2cOZMnT56wYcMGVq9ejba29gvHOzo6oqHxf38VVahQAScnJ+VYU1MTU1NTbt68CUB8fDyXLl3CwMBA6UlsYmLC48ePlfYMees+m7TLS+rC05eSlSpVigYNGijXTU1Nsbe3JyEhAYD69evj6OjIihUrAPjhhx+wsrKiSZMmBd5HXFwcH3/8caG9ZW/cuEFwcDC2trYYGRlhaGhIenp6vpehPZ9MhacviXu2KvnZe/knXrTupUuXePjwIS1btlSes76+PitXrlR7zs979OhRvn6+ubm5xY5t+vTprF27ls2bNyvr5SV5O3bsyPDhw6lTpw5jx46lXbt2LFq0SJmbV9n8KnR0dJSX3F25coWtW7fSqVMnHB0diYqKIisrq9Bkc2hoKKmpqcrn2rVrrxSDEEIIIYQQQgjxJkmFsBDitbp8+TJ//fUXOTk5JCUlqSV3C/J8AlWlUhV4Li8Jl56eTt26dVm9enW+tczMzF64bnGrRoOCgvj2228ZO3YsERER9O3bt9D+sS97YZu/vz+3b99m7ty5WFlZoa2tjbu7u1qbC3ja7/Z5r+NeCvKy5wywY8cOtX7AwAuT/OXKlePu3btq5+zs7Pjjjz+KHNfMmTOZPn06+/bto3bt2mprlypVipo1a6qNd3Bw4PDhw0Ve/0Xu3LmjfB/95z//AeD8+fPA0xfPhYSEFDpXW1v7pf8AIoQQQgghhBBClDRJCAshXpvMzEw++eQTunXrhr29PUFBQZw9e/aFL/wqLldXV9atW0f58uUxNDR8pTUcHByUXrF5LSNu375NYmKiWrLxk08+YfTo0cybN4/z58/j7+9f6Jq1a9dmxYoVZGVlFVglHBMTw3fffUebNm2Apy/Gu3Xr1ivF/zJaWlpkZ2f/ozVq1qyJtrY2ycnJhbaHKIiLi4uSQM3Ts2dPunfvztatW/P1Ec7NzSUtLU3pI/z1118zZcoUdu/ena9aWktLi3r16pGYmKh2/sKFC1hZWRXn9gp0+fJlHj9+jIuLi9p5Dw+PV+pJLIQQQgghhBBCvIskISyEeG3GjRtHamoq8+bNQ19fn507dxIYGMj27dtf2x69evVixowZdOzYkYkTJ2JhYcHVq1fZtGkTo0ePxsLC4qVr2Nra0rFjR4KDg1m8eDEGBgaMHTuWypUrqyUsy5Yti6+vL6NGjaJVq1YvXHvw4MHMnz+f7t27ExoaipGREceOHaN+/frY29tja2vLqlWrcHNzIy0tjVGjRr20qvhVWVtbc/DgQbp37462tjblypUr9hoGBgaEhIQwfPhwcnJy+Oijj0hNTSUmJgZDQ8NCk+NeXl4EBQWRnZ2ttOzw8/Nj8+bN9OjRg/Hjx9OqVSvMzMw4e/Ys33zzDUOGDMHHx4evvvqKCRMm8OOPP2Jtbc3169cBlHYVAKNGjaJbt240adKEZs2asWvXLn7++Weio6OVGEJDQ/nzzz/V2kacP3+ezMxM7ty5w/3794mLiwOgTp06yphDhw5RtWpVqlWrVuznJYQQ74uk6W1LOgQhhBBCCFHCpIewEOK1iI6OZs6cOaxatQpDQ0M0NDRYtWoVhw4dYuHCha9tH11dXQ4ePEiVKlXw9fXFwcGBfv368fjx42JVDEdERFC3bl3atWuHu7s7ubm57Ny5M191b79+/cjMzCQwMPCF65mamvLrr7+Snp5O06ZNqVu3LkuXLlXWW758OXfv3sXV1ZXevXszdOjQ11o5/ayJEyeSlJREtWrV1NpoFNekSZP44osvmDZtGg4ODnh7e7Njxw5sbGwKndO6dWtKlSql9vI9lUrFjz/+yOzZs9myZQtNmzaldu3ahIWF0bFjR7y8vABYuHAhmZmZdOnSBXNzc+Uzc+ZMZa1OnTqxaNEivv76a5ycnFi2bBkbN27ko48+UsakpKTk683cpk0bXFxclOSxi4tLvkrgNWvWEBwc/MrPSwghhBBCCCGEeB+ocl/lbT9CCPEvsWrVKoYPH85ff/2FlpZWSYfzXvj222/Ztm0bu3fvLulQiuz333+nefPmXLhwQWlf8U/ltcJITU195fYmQgghhBBCCCFEURX151BpGSGEEAV4+PAhKSkpTJ8+nQEDBkgyuBgGDBjAvXv3uH//PgYGBiUdTpGkpKSwcuXK15YMFkIIIYQQQggh3lVSISyEEAUICwtjypQpNGnShK1btyo9bIUoKqkQFkIIIYQQQgjxNhX151DpISyEEAUICwsjKyuLqKio15oMjo6ORqVSce/evde25oeqd+/eTJ06taTDAKB79+7MmjWrpMMQQgghhBBCCCH+MUkICyGEeC08PDwYNmzYa1krPj6enTt3MnToUOXcpk2baNWqFaampqhUKuLi4vLNW7JkCR4eHhgaGhYr8R4dHY2rqyva2tpUr16dyMhItevjx49nypQppKam/oO7EkIIIYQQQgghSp70EBZCCPHOmT9/Pl27dlWrzn7w4AEfffQRfn5+BAcHFzjv4cOHeHt74+3tTWhoaJH2unLlCm3btuXTTz9l9erVREVFERQUhLm5OV5eXgDUqlWLatWq8cMPPzBo0KB/foNCCFFCrMfuKOkQ8kma3rakQxBCCCGE+FeRCmEhhCiAtbU1c+bMUTtXp04dwsLClGOVSsWyZcvo1KkTurq62Nrasm3bNrU5O3fuxM7ODh0dHZo1a0ZSUlK+vQ4fPszHH3+Mjo4OlpaWDB06lAcPHijXMzIyGDNmDJaWlkoF6/LlywHIzs6mX79+2NjYoKOjg729PXPnzlVbPyAgAB8fH2bOnIm5uTmmpqYMGjSIrKwsZczdu3fp06cPZcuWRVdXl9atW3Px4kXl+u3bt+nRoweVK1dGV1cXJycn1qxZo7bHgQMHmDt3LiqVCpVKpdzruXPnaN26Nfr6+lSoUIHevXtz69atQp99dnY2P/30E+3bt1c737t3byZMmICnp2ehc4cNG8bYsWNp2LBhoWOet2jRImxsbJg1axYODg4MHjyYLl268M0336iNa9++PWvXri3yukIIIYQQQgghxLtIEsJCCPEPhIeH4+fnx5kzZ2jTpg29evXizp07AFy7dg1fX1/at29PXFwcQUFBjB07Vm3+5cuX8fb2pnPnzpw5c4Z169Zx+PBhBg8erIzp06cPa9asYd68eSQkJLB48WKlcjYnJwcLCws2bNjA+fPnmTBhAp9//jnr169X22f//v1cvnyZ/fv3s2LFCiIjI9XaIgQEBHDy5Em2bdvG0aNHyc3NpU2bNkrS+PHjx9StW5cdO3Zw7tw5+vfvT+/evTl+/DgAc+fOxd3dneDgYFJSUkhJScHS0pJ79+7RvHlzXFxcOHnyJLt27eLGjRv4+fkV+kzPnDlDamoqbm5ur/6FeQEPDw8CAgKU46NHj+ZLMnt5eXH06FG1c/Xr1+f48eNkZGQUuG5GRgZpaWlqHyGEEEIIIYQQ4l0jLSOEEOIfCAgIoEePHgBMnTqVefPmcfz4cby9vVm4cCHVqlVTXkZmb2/P2bNn+eqrr5T506ZNo1evXkrvXVtbW+bNm0fTpk1ZuHAhycnJrF+/nr179ypJy6pVqyrzS5cuTXh4uHJsY2PD0aNHWb9+vVrStWzZsixYsABNTU1q1KhB27ZtiYqKIjg4mIsXL7Jt2zZiYmJo1KgRAKtXr8bS0pItW7bQtWtXKleuTEhIiLLekCFD2L17N+vXr6d+/foYGRmhpaWFrq4uFStWVMYtWLAAFxcXtZfDff/991haWnLhwgXs7OzyPdOrV6+iqalJ+fLli/8FKYIqVapgbm6uHF+/fp0KFSqojalQoQJpaWk8evQIHR0dACpVqkRmZibXr1/Hysoq37rTpk1T+1oIIYQQQgghhBDvIkkICyHEP1C7dm3lz3p6ehgaGnLz5k0AEhISaNCggdp4d3d3teP4+HjOnDnD6tWrlXO5ubnk5ORw5coVzp49i6amJk2bNi00hm+//Zbvv/+e5ORkHj16RGZmJnXq1FEb4+joiKampnJsbm7O2bNnlThLlSqlFqupqSn29vYkJCQAT9s4TJ06lfXr1/Pnn3+SmZlJRkYGurq6L3w+8fHx7N+/X60XcJ7Lly8XmBB+9OgR2traqFSqF679qlauXPlK8/ISww8fPizwemhoKCNGjFCO09LSsLS0fKW9hBBCCCGEEEKIN0USwkIIUQANDQ1yc3PVzj3bczdP6dKl1Y5VKhU5OTlF3ic9PZ0BAwYwdOjQfNeqVKnCpUuXXjh/7dq1hISEMGvWLNzd3TEwMGDGjBnExsa+1jhnzJjB3LlzmTNnDk5OTujp6TFs2DAyMzNfOC89PZ327durVUXnebZK91nlypXj4cOHZGZmoqWlVeQYX1XFihW5ceOG2rkbN25gaGioJIEBpRWImZlZgetoa2ujra395gIVQgghhBBCCCFeA0kICyFEAczMzEhJSVGO09LSuHLlSrHWcHBwyPeSuWPHjqkdu7q6cv78eapXr17gGk5OTuTk5HDgwIECX6aW1+Zh4MCByrnLly8XO84nT54QGxurtIy4ffs2iYmJ1KxZU9mnY8eOfPLJJ8DT3sUXLlxQrgNoaWmRnZ2d7/42btyItbU1pUoV7X85edXN58+fz1fp/Ca4u7uzc+dOtXN79+7NV8197tw5LCwsKFeu3BuPSQghhBBCCCGEeFMkISyEEAVo3rw5kZGRtG/fHmNjYyZMmKDWcqEoPv30U2bNmsWoUaMICgri1KlTai9yAxgzZgwNGzZk8ODBBAUFoaenx/nz59m7dy8LFizA2toaf39/AgMDmTdvHs7Ozly9epWbN2/i5+eHra0tK1euZPfu3djY2LBq1SpOnDiBjY1NkeO0tbWlY8eOBAcHs3jxYgwMDBg7diyVK1emY8eOypiffvqJI0eOULZsWWbPns2NGzfUEsLW1tbExsaSlJSEvr4+JiYmDBo0iKVLl9KjRw9Gjx6NiYkJly5dYu3atSxbtqzAZ2pmZoarqyuHDx9WSwjfuXOH5ORk/vrrLwASExOBpxW+eX2Lr1+/zvXr15XK6rNnz2JgYECVKlUwMTEBnr6kr3LlykybNk35Oi1YsIDRo0cTGBjIr7/+yvr169mxY4daXIcOHaJVq1ZFfq5CCPEuSpretqRDEEIIIYQQJUyjpAMQQoh3UWhoKE2bNqVdu3a0bdsWHx8fqlWrVqw1qlSpwsaNG9myZQvOzs4sWrRI7eVq8LQH8YEDB7hw4QIff/wxLi4uTJgwgUqVKiljFi5cSJcuXRg4cCA1atQgODiYBw8eADBgwAB8fX3p1q0bDRo04Pbt22rVwkUVERFB3bp1adeuHe7u7uTm5rJz506l1cT48eNxdXXFy8sLDw8PKlasiI+Pj9oaISEhaGpqUrNmTczMzEhOTqZSpUrExMSQnZ1Nq1atcHJyYtiwYRgbG6OhUfj/goKCgtT6KgNs27YNFxcX2rZ9mszo3r07Li4uLFq0SBmzaNEiXFxcCA4OBqBJkya4uLioVWonJyerVX/b2NiwY8cO9u7di7OzM7NmzWLZsmV4eXkpYx4/fsyWLVuUdYUQQgghhBBCiPeVKvf5JplCCCFECXv06BH29vasW7cuX+uGkrBw4UI2b97Mnj17ijwnLS0NIyMjUlNTMTQ0fIPRCSGEEEIIIYQQRf85VCqEhRBCvHN0dHRYuXIlt27dKulQgKcv5Zs/f35JhyGEEEIIIYQQQvxjkhAWQnyQwsLC3soLyQqSlJSESqUiLi6uRNd4l/Z5FR4eHrRv3/61rTVs2LAXjrG2tmbOnDkFXgsKCsLe3v61xCKEEEIIIYQQQpQkSQgLId4bRUnq5QkJCSEqKurNBgQEBATk66X7PrG0tCQlJYVatWq90X3CwsJQqVR8+umnaufj4uJQqVQkJSW90f03bdrEpEmT3ugeQgghhBBCCCHE+6BUSQcghBCvU25uLtnZ2ejr66Ovr1/S4bzzNDU1qVix4lvZq0yZMixfvpyRI0dia2v7VvbMY2Ji8lb3E0KId5X12B0lHcK/StL0tiUdghBCCCFEPlIhLIR4LwQEBHDgwAHmzp2LSqVSqkqjo6NRqVT88ssv1K1bF21tbQ4fPpyvZUReJe/UqVOpUKECxsbGTJw4kSdPnjBq1ChMTEywsLAgIiJCbd9r167h5+eHsbExJiYmdOzYUalmDQsLY8WKFWzdulWJKTo6Wpn73//+l2bNmqGrq4uzszNHjx4F4MGDBxgaGvLTTz+p7bVlyxb09PS4f/9+vvvPzs6mX79+2NjYoKOjg729PXPnzs33jIp7j8+3jMh7nlFRUbi5uaGrq0ujRo1ITExU22vr1q24urpSpkwZqlatSnh4OE+ePHnh19De3p5mzZoxbty4F44ryNmzZ2nevDk6OjqYmprSv39/0tPTlZi1tLQ4dOiQMv7rr7+mfPny3LhxA8hfXX7z5k3at2+Pjo4ONjY2rF69Ot+e9+7dIygoCDMzMwwNDWnevDnx8fHFjl0IIYQQQgghhHiXSEJYCPFemDt3Lu7u7gQHB5OSkkJKSgqWlpbK9bFjxzJ9+nQSEhKoXbt2gWv8+uuv/PXXXxw8eJDZs2fz5Zdf0q5dO8qWLUtsbCyffvopAwYM4H//+x8AWVlZeHl5YWBgwKFDh4iJiUFfXx9vb28yMzMJCQnBz88Pb29vJaZGjRop+40bN46QkBDi4uKws7OjR48ePHnyBD09Pbp3754v+RwREUGXLl0wMDDIF3tOTg4WFhZs2LCB8+fPM2HCBD7//HPWr1//j+6xMOPGjWPWrFmcPHmSUqVKERgYqFw7dOgQffr04bPPPuP8+fMsXryYyMhIpkyZ8sI1AaZPn87GjRs5efLkS8fmefDgAV5eXpQtW5YTJ06wYcMG9u3bx+DBg4H/S/b27t2b1NRUfvvtN7744guWLVtGhQoVClwzICCAa9eusX//fn766Se+++47bt68qTama9eu3Lx5k19++YVTp07h6upKixYtuHPnTpFjF0IIIYQQQggh3jWSEBZCvBeMjIzQ0tJCV1eXihUrUrFiRTQ1NZXrEydOpGXLllSrVq3Q9gAmJibMmzcPe3t7AgMDsbe35+HDh3z++efY2toSGhqKlpYWhw8fBmDdunXk5OSwbNkynJyccHBwICIiguTkZKKjo9HX10dHRwdtbW0lJi0tLWW/kJAQ2rZti52dHeHh4Vy9epVLly4BT19Stnv3blJSUoCnFas7d+5US7w+q3Tp0oSHh+Pm5oaNjQ29evWib9+++RLCxb3HwkyZMoWmTZtSs2ZNxo4dy5EjR3j8+DEA4eHhjB07Fn9/f6pWrUrLli2ZNGkSixcvfuGaAK6urvj5+TFmzJiXjs3z448/8vjxY1auXEmtWrVo3rw5CxYsYNWqVUoF8OTJkylbtiz9+/fnk08+wd/fnw4dOhS43oULF/jll19YunQpDRs2pG7duixfvpxHjx4pYw4fPszx48fZsGEDbm5u2NraMnPmTIyNjfNVdufJyMggLS1N7SOEEEIIIYQQQrxrJCEshPgguLm5vXSMo6MjGhr/99dehQoVcHJyUo41NTUxNTVVKkXj4+O5dOkSBgYGSk9iExMTHj9+zOXLl1+637OVyubm5gDK2vXr18fR0ZEVK1YA8MMPP2BlZUWTJk0KXe/bb7+lbt26mJmZoa+vz5IlS0hOTv5H9/gqscfHxzNx4kTlmejr6yuV2w8fPnzhuvA0eXvo0CH27NmT75qjo6OyZuvWrQFISEjA2dkZPT09ZVzjxo3JyclRWlloaWmxevVqNm7cyOPHj/nmm28K3T8hIYFSpUpRt25d5VyNGjUwNjZWjuPj40lPT8fU1FTtPq9cuVLo137atGkYGRkpn2cr2IUQQgghhBBCiHeFvFROCPFBeDZZWJjSpUurHatUqgLP5eTkAJCenk7dunUL7C9rZmZWrP1UKhWAsjY8rRL+9ttvGTt2LBEREfTt21cZ97y1a9cSEhLCrFmzcHd3x8DAgBkzZhAbG/uP7vFVYk9PTyc8PBxfX99888qUKfPCdQGqVatGcHAwY8eOZfny5WrXdu7cSVZWFgA6OjovXetZR44cAeDOnTvcuXOnSN8ThUlPT8fc3FytJ3SeZxPHzwoNDWXEiBHKcVpamiSFhRBCCCGEEEK8cyQhLIR4b2hpaZGdnf3W9nN1dWXdunWUL18eQ0PD1x7TJ598wujRo5k3bx7nz5/H39+/0LExMTE0atSIgQMHKueKUqX8Jri6upKYmEj16tVfeY0JEyZQrVo11q5dq3beysoq31gHBwciIyN58OCBkuSNiYlBQ0MDe3t74OmzGD58OEuXLmXdunX4+/uzb98+tWrpPDVq1ODJkyecOnWKevXqAZCYmMi9e/fU7vH69euUKlUKa2vrIt2TtrY22traRRorhBBCCCGEEEKUFEkICyHeG9bW1sTGxpKUlKS0b3iTevXqxYwZM+jYsSMTJ07EwsKCq1evsmnTJkaPHo2FhQXW1tbs3r2bxMRETE1NMTIyKvL6ZcuWxdfXl1GjRtGqVSssLCwKHWtra8vKlSvZvXs3NjY2rFq1ihMnTmBjY/M6brVYJkyYQLt27ahSpQpdunRBQ0OD+Ph4zp07x+TJk4u0RoUKFRgxYgQzZsx46dhevXrx5Zdf4u/vT1hYGH///TdDhgyhd+/eVKhQgezsbD755BO8vLzo27cv3t7eODk5MWvWLEaNGpVvPXt7e7y9vRkwYAALFy6kVKlSDBs2TK0i2dPTE3d3d3x8fPj666+xs7Pjr7/+YseOHXTq1KlILUqEEOJdlDS9bUmHIIQQQgghSpj0EBZCvDdCQkLQ1NSkZs2amJmZ5euf+7rp6upy8OBBqlSpgq+vLw4ODvTr14/Hjx8rFcPBwcHY29vj5uaGmZkZMTExxdqjX79+ZGZmFvoyuTwDBgzA19eXbt260aBBA27fvq1WLfw2eXl5sX37dvbs2UO9evVo2LAh33zzTYHVvS8SEhKCvr7+S8fp6uqye/du7ty5Q7169ejSpQstWrRgwYIFwNMX4F29elV5qZ25uTlLlixh/PjxxMfHF7hmREQElSpVomnTpvj6+tK/f3/Kly+vXFepVOzcuZMmTZrQt29f7Ozs6N69O1evXqVChQrFuk8hhBBCCCGEEOJdosrNzc0t6SCEEOLfatWqVQwfPpy//voLLS2tkg5HvEZpaWkYGRmRmppaaMsRIYQQQgghhBDidSnqz6HSMkIIIUrAw4cPSUlJYfr06QwYMECSwUIIIYQQQgghhHgrpGWEEEKUgK+//poaNWpQsWJFQkNDSzocIYQQQgghhBBC/EtIQliI/y8sLIw6deqUdBhvVXR0NCqVinv37r2xPVQqFVu2bCnRGN41KpWKOnXqkJWVxfLlyzEwMCAuLu4fr7t8+XJatWr1wjEBAQH4+Pj8470+NJmZmVhbW3Py5MmSDkUIIYQQQgghhHijJCEsPmgeHh4MGzasSGNDQkKIiop6swGJfBo1akRKSgpGRkYlHUqJsLS0JCUlhVq1av2jdR4/fswXX3zBl19+Wax5Bw8epH379lSqVKnQ5H16ejqDBw/GwsICHR0datasyaJFi14aT0BAAE5OTpQqVeqFSegVK1bw0UcfkZWVxZgxY3ByckJPT49KlSrRp08f/vrrL7XxHTp0oEqVKpQpUwZzc3N69+6db0xBvv32W6ytrSlTpgwNGjTg+PHjyjUtLS1CQkIYM2ZMgXM9PDxeur4QQgghhBBCCPE+kB7C4l8vNzeX7Oxs9PX10dfXL+lw/nW0tLSoWLFiSYdRYjQ1NV/L/f/0008YGhrSuHHjYs178OABzs7OBAYG4uvrW+CYESNG8Ouvv/LDDz9gbW3Nnj17GDhwIJUqVaJDhw4FzsnOzkZHR4ehQ4eycePGF8awdetWOnTowMOHDzl9+jRffPEFzs7O3L17l88++4wOHTqoVe42a9aMzz//HHNzc/78809CQkLo0qULR44cKXSPdevWMWLECBYtWkSDBg2YM2cOXl5eJCYmUr58eQB69erFyJEj+f3333F0dOTChQucPn2a7t27K+ucPn2av/76i3bt2r3wnoQQ4l1lPXbHW9sraXrbt7aXEEIIIYQoOqkQFh+sgIAADhw4wNy5c1GpVKhUKpKSkpQWBb/88gt169ZFW1ubw4cPF9gy4vvvv8fR0RFtbW3Mzc0ZPHiwci05OZmOHTuir6+PoaEhfn5+3LhxQ7keHx9Ps2bNMDAwwNDQkLp16ypJrdu3b9OjRw8qV66Mrq4uTk5OrFmzRm1vDw8Phg4dyujRozExMaFixYqEhYWpjXlRDElJSWhoaOT7Ffg5c+ZgZWVFTk7OS59hbm4uYWFhVKlSBW1tbSpVqsTQoUOV69bW1kyaNIkePXqgp6dH5cqV+fbbb/Otc+vWLTp16oSuri62trZs27ZNufZ8y4jIyEiMjY3ZvXs3Dg4O6Ovr4+3tTUpKijLnyZMnDB06FGNjY0xNTRkzZgz+/v5qVagZGRkMHTqU8uXLU6ZMGT766CNOnDiRb9/du3fj4uKCjo4OzZs35+bNm/zyyy84ODhgaGhIz549efjwIQArV67E1NSUjIwMtfvz8fGhd+/eyvHWrVtxdXWlTJkyVK1alfDwcJ48eVLgM05KSkKlUiktI/LiioqKws3NDV1dXRo1akRiYuILv1Zr166lffv2aueys7MZMWKE8pxGjx5Nbm6u2pjWrVszefJkOnXqVOjaR44cwd/fHw8PD6ytrenfvz/Ozs5qFbbP09PTY+HChQQHB78w4f348WP27NlDhw4dMDIyYu/evfj5+WFvb0/Dhg1ZsGABp06dIjk5WZkzfPhwGjZsiJWVFY0aNWLs2LEcO3aMrKysQveZPXs2wcHB9O3bV6lw1tXV5fvvv1fGlC1blsaNG7N27VoAypUrx/79+/Hz8+PevXtMmDCB0NBQqlatWug+QgghhBBCCCHEu04SwuKDNXfuXNzd3QkODiYlJYWUlBQsLS2V62PHjmX69OkkJCRQu3btfPMXLlzIoEGD6N+/P2fPnmXbtm1Ur14dgJycHDp27MidO3c4cOAAe/fu5b///S/dunVT5vfq1QsLCwtOnDjBqVOnGDt2LKVLlwaeJsHq1q3Ljh07OHfuHP3796d37975EmwrVqxAT0+P2NhYvv76ayZOnMjevXuLFIO1tTWenp5ERESorRkREUFAQAAaGi//z3/jxo188803LF68mIsXL7JlyxacnJzUxsyYMQNnZ2d+++03xo4dy2effabEmCc8PBw/Pz/OnDlDmzZt6NWrF3fu3Cl034cPHzJz5kxWrVrFwYMHSU5OJiQkRLn+1VdfsXr1aiIiIoiJiSEtLS1fq4PRo0ezceNGVqxYwenTp6levTpeXl759g0LC2PBggUcOXKEa9eu4efnx5w5c/jxxx/ZsWMHe/bsYf78+QB07dqV7OxstYT2zZs32bFjB4GBgQAcOnSIPn368Nlnn3H+/HkWL15MZGQkU6ZMeenzfta4ceOYNWsWJ0+epFSpUsr6hTl8+DBubm5q52bNmkVkZCTff/89hw8f5s6dO2zevLlYccDTth7btm3jzz//JDc3l/3793PhwgW1fsUBAQGv1FYhKiqKypUrU6NGjQKvp6amolKpMDY2LvD6nTt3WL16NY0aNVL++4KnfZojIyOBp/2BT506haenp3JdQ0MDT09Pjh49qrZe/fr1OXToEAAmJiYsXrwYT09P4uPjuXz5Mrt376ZmzZrFvk8hhBBCCCGEEOJdIS0jxAfLyMgILS0tdHV1C6xQnDhxIi1btix0/uTJkxk5ciSfffaZcq5evXrA0yTW2bNnuXLlipJkXrlyJY6Ojpw4cYJ69eqRnJzMqFGjlESXra2tsk7lypXVEpxDhgxh9+7drF+/nvr16yvna9eurfSEtbW1ZcGCBURFRdGyZcsixRAUFMSnn37K7Nmz0dbW5vTp05w9e5atW7cW6RkmJydTsWJFPD09KV26NFWqVFGLD6Bx48aMHTsWADs7O2JiYvjmm2/Unm1AQAA9evQAYOrUqcybN4/jx4/j7e1d4L5ZWVksWrSIatWqATB48GAmTpyoXJ8/fz6hoaFKVeuCBQvYuXOncv3BgwcsXLiQyMhIWrduDcDSpUvZu3cvy5cvZ9SoUcrYyZMnK20W+vXrR2hoKJcvX1aqQLt06cL+/fsZM2YMOjo69OzZk4iICLp27QrADz/8QJUqVZRkaHh4OGPHjsXf3x+AqlWrMmnSJEaPHl2s/r5TpkyhadOmwNN/vGjbti2PHz+mTJky+cbeu3eP1NRUKlWqpHZ+zpw5hIaGKq0gFi1axO7du4scQ5758+fTv39/LCwsKFWqFBoaGixdupQmTZooY8zNzYtUdf68vHYRBXn8+DFjxoyhR48eGBoaql0bM2YMCxYs4OHDhzRs2JDt27erXbe3t1f6Ut+6dYvs7GwqVKigNqZChQr88ccfaucqVarE1atXAbh79y7jxo3j1q1bODs7U61aNVq3bs2cOXOwt7fPF29GRoZa9XhaWloRn4IQQgghhBBCCPH2SIWw+Nd6vpryWTdv3uSvv/6iRYsWBV5PSEjA0tJSreK4Zs2aGBsbk5CQADztuxoUFISnpyfTp0/n8uXLytjs7GwmTZqEk5MTJiYm6Ovrs3v3brVfiwfyVS6bm5tz8+bNIsfg4+ODpqamUhUaGRlJs2bNsLa2ftnjAZ5WxD569IiqVasSHBzM5s2b87U+cHd3z3ect39B96Gnp4ehoaFyHwXR1dVVksHP33dqaio3btxQS0xrampSt25d5fjy5ctkZWWp9dMtXbo09evXf2FsFSpUQFdXV60lQIUKFdRiDQ4zfERIAAEAAElEQVQOZs+ePfz555/A02caEBCASqUCnrYKmThxotKTWl9fX6lSz2s9URTPxmVubg5Q6DN79OgRgFqyODU1lZSUFBo0aKCcK1Wq1Au/7wszf/58jh07xrZt2zh16hSzZs1i0KBB7Nu3Txkzbdo0Vq5cWax1c3Nz+fnnnwtMCGdlZeHn50dubi4LFy7Md33UqFH89ttv7NmzB01NTfr06aPWDuOPP/54YRuMwujo6Chfp5s3b/Lxxx+zfv16jI2NmThxIlOmTOHChQsFzp02bRpGRkbK59n/NoUQQgghhBBCiHeFJITFv5aenl6h13R0dP7x+mFhYfz++++0bduWX3/9lZo1ayqJ2RkzZjB37lzGjBnD/v37iYuLw8vLi8zMTLU1nv0VeHj6a/DFqcLU0tKiT58+REREkJmZyY8//vjS1gPPsrS0JDExke+++w4dHR0GDhxIkyZNXtirtSDFvY+Cxj/f+/Z1eb7NwMtidXFxwdnZmZUrV3Lq1Cl+//13AgIClOvp6emEh4cTFxenfM6ePcvFixcLrO4talxAoc/M1NQUlUrF3bt3i7x+UT169IjPP/+c2bNn0759e2rXrs3gwYPp1q0bM2fO/EdrHz9+nCdPntCoUSO183nJ4KtXr7J379581cHwtL+vnZ0dLVu2ZO3atezcuZNjx44VuE+5cuXQ1NRU6/ENcOPGjXy/PXDnzh3MzMyAp1XGeZXteVxdXfP1as4TGhpKamqq8rl27dqLH4AQQgghhBBCCFECJCEsPmhaWlpkZ2cXe56BgQHW1tZERUUVeN3BwYFr166pJXzOnz/PvXv31PqL2tnZMXz4cPbs2YOvr6/SzzcmJoaOHTvyySef4OzsTNWqVQutOixMUWMICgpi3759fPfddzx58kRpH1BUOjo6tG/fnnnz5hEdHc3Ro0c5e/ascv35JNyxY8dwcHAo1h7FYWRkRIUKFdReEJednc3p06eV42rVqqGlpUVMTIxyLisrixMnTryW/q9BQUFERkYSERGBp6enWiWoq6sriYmJVK9ePd+nKH2bX4WWlhY1a9bk/PnzyjkjIyPMzc2JjY1Vzj158oRTp04Va+2srCyysrLyxa6pqflKLSKetXXrVtq2bYumpqbafn5+fly8eJF9+/Zhamr60nXy4nj+ZX95tLS0qFu3rtp/zzk5OURFReWrcD937hwuLi751oiOjn5pHNra2hgaGqp9hBBCCCGEEEKId430EBYfNGtra2JjY0lKSkJfXx8TE5Mizw0LC+PTTz+lfPnytG7dmvv37xMTE8OQIUPw9PTEycmJXr16MWfOHJ48ecLAgQNp2rQpbm5uPHr0iFGjRtGlSxdsbGz43//+x4kTJ+jcuTPwtB/wTz/9xJEjRyhbtiyzZ8/mxo0bxUpWviyGPA4ODjRs2JAxY8YQGBhYrOrnyMhIsrOzadCgAbq6uvzwww/o6OhgZWWljImJieHrr7/Gx8eHvXv3smHDBnbs2FHkPV7FkCFDmDZtGtWrV6dGjRrMnz+fu3fvKpW0enp6/Oc//2HUqFGYmJhQpUoVvv76ax4+fEi/fv3+8f49e/YkJCSEpUuX5muTMGHCBNq1a0eVKlXo0qULGhoaxMfHc+7cOSZPnvyP9y6Ml5cXhw8fZtiwYcq5zz77jOnTp2Nra0uNGjWYPXs29+7dU5uXnp7OpUuXlOMrV64QFxenPDdDQ0OaNm3KqFGjlK/9gQMHWLlyJbNnz1bmhYaG8ueff6o9j/Pnz5OZmcmdO3e4f/8+cXFxANSpUweAbdu2qfWGzsrKokuXLpw+fZrt27eTnZ3N9evXgacveNPS0iI2NpYTJ07w0UcfUbZsWS5fvswXX3xBtWrV1JK7NWrUYNq0aUrbiBEjRuDv74+bmxv169dnzpw5PHjwgL59+6o9j0OHDjFp0qTifwGEEOI9kTS9bUmHIIQQQgghSpgkhMUHLSQkBH9/f2rWrMmjR4+4cuVKkef6+/vz+PFjvvnmG0JCQihXrhxdunQBnv4K/9atWxkyZAhNmjRBQ0MDb29v5s+fDzytnrx9+zZ9+vThxo0blCtXDl9fX8LDwwEYP348//3vf/Hy8kJXV5f+/fvj4+NDampqkeN7WQzP6tevH0eOHClWuwgAY2Njpk+fzogRI8jOzsbJyYmff/5ZrWpz5MiRnDx5kvDwcAwNDZk9ezZeXl7F2qe4xowZw/Xr1+nTpw+ampr0798fLy8vtUrT6dOnk5OTQ+/evbl//z5ubm7s3r2bsmXL/uP9jYyM6Ny5Mzt27MDHx0ftmpeXF9u3b2fixIl89dVXlC5dmho1ahAUFPSP932Rfv364ebmRmpqqvIytZEjR5KSkoK/vz8aGhoEBgbSqVMnte+zkydP0qxZM+V4xIgRwNPv/8jISADWrl1LaGgovXr14s6dO1hZWTFlyhQ+/fRTZV5KSkq+Htht2rRRXtAGKJW3ubm5XL58mUuXLql9r/z5559s27YN+L+kcZ79+/fj4eGBrq4umzZt4ssvv+TBgweYm5vj7e3N+PHj0dbWVsYnJiaq3We3bt34+++/mTBhAtevX6dOnTrs2rVL7UVzR48eJTU1VfnvXAghhBBCCCGE+BCpct9UY04hxDtj0qRJbNiwgTNnzrzWda2trRk2bJhaVWpJyMnJwcHBAT8/v7dW3dmiRQscHR2ZN2/eW9mvKLp27YqrqyuhoaElHcpLzZ49m3379rFz586SDkXRrVs3nJ2d+fzzz1/LemlpaRgZGZGamirtI4QQQgghhBBCvHFF/TlUeggL8QFLT0/n3LlzLFiwgCFDhpR0OK/N1atXWbp0KRcuXODs2bP85z//4cqVK/Ts2fON73337l02b95MdHQ0gwYNeuP7FceMGTPQ19cv6TCKxMLC4p1KXGdmZuLk5MTw4cNLOhQhhBBCCCGEEOKNkpYRQnzABg8ezJo1a/Dx8Sl2u4h3mYaGBpGRkYSEhJCbm0utWrXYt2/fG32ZXR4XFxfu3r3LV199hb29/Rvfrzisra3fm8S/n59fSYegRktLi/Hjx5d0GEIIIYQQQgghxBsnLSOEEKIEREdH06xZM+7evYuxsfErr6NSqdi8eXO+Xsb/Fs/f/x9//EFAQABxcXHUqFFDeZFdSZCWEUIIIYQQQggh3iZpGSGE+Ffx8PAo8V7G/xbR0dGoVCru3btX0qHk8+WXX6Knp0diYiJRUVFFmhMWFpbvJXZCCCGEEEIIIcSHSlpGCCFEMWVmZqKlpVXSYYgCXL58mbZt22JlZVXSoQghxDvJeuyOkg5BiHdC0vS2JR2CEEIIUWKkQlgI8d4LCAjgwIEDzJ07F5VKhUqlIikpiezsbPr164eNjQ06OjrY29szd+5ctbkFVRb7+PgQEBCgHFtbWzNp0iT69OmDoaEh/fv3B2Djxo04Ojqira2NtbU1s2bNUlsnIyODMWPGYGlpiba2NtWrV2f58uVqY06dOoWbmxu6uro0atSIxMREtesLFy6kWrVqaGlpYW9vz6pVq174LK5du4afnx/GxsaYmJjQsWNHkpKS1J6Vj48PM2fOxNzcHFNTUwYNGkRWVpYyZtWqVbi5uWFgYEDFihXp2bMnN2/eBCApKYlmzZoBULZsWVQqlfKscnJymDZtmvK8nZ2d+emnn14Y73fffYetrS1lypShQoUKdOnSRe25z5kzR218nTp1CAsLK3AtlUrFqVOnmDhxIiqVShk3ZswY7Ozs0NXVpWrVqnzxxRfK/UZGRhIeHk58fLzyvRMZGQnAvXv3CAoKwszMDENDQ5o3b058fPwL70cIIYQQQgghhHjXSYWwEOK9N3fuXC5cuECtWrWYOHEiAGZmZuTk5GBhYcGGDRswNTXlyJEj9O/fH3Nz82K/1GzmzJlMmDCBL7/8EniayPXz8yMsLIxu3bpx5MgRBg4ciKmpqZIg7dOnD0ePHmXevHk4Oztz5coVbt26pbbuuHHjmDVrFmZmZnz66acEBgYSExMDwObNm/nss8+YM2cOnp6ebN++nb59+2JhYaEkZZ+VlZWFl5cX7u7uHDp0iFKlSjF58mS8vb05c+aMUtW8f/9+zM3N2b9/P5cuXaJbt27UqVOH4OBgZZ1JkyZhb2/PzZs3GTFiBAEBAezcuRNLS0s2btxI586dSUxMxNDQEB0dHQCmTZvGDz/8wKJFi7C1teXgwYN88sknmJmZ0bRp03zxnjx5kqFDh7Jq1SoaNWrEnTt3OHToULG+Ls9KSUnB09MTb29vQkJC0NfXB8DAwIDIyEgqVarE2bNnCQ4OxsDAgNGjR9OtWzfOnTvHrl272LdvHwBGRkYAdO3aFR0dHX755ReMjIxYvHgxLVq04MKFC5iYmLxynEIIIYQQQgghREmShLAQ4r1nZGSElpYWurq6VKxYUTmvqalJeHi4cmxjY8PRo0dZv359sRPCzZs3Z+TIkcpxr169aNGiBV988QUAdnZ2nD9/nhkzZhAQEMCFCxdYv349e/fuxdPTE4CqVavmW3fKlClKsnTs2LG0bduWx48fU6ZMGWbOnElAQAADBw4EYMSIERw7doyZM2cWmBBet24dOTk5LFu2DJVKBUBERATGxsZER0fTqlUr4Gll74IFC9DU1KRGjRq0bduWqKgoJSEcGBiorFm1alXmzZtHvXr1SE9PR19fX0mGli9fXnkhXkZGBlOnTmXfvn24u7srcw8fPszixYsLTAgnJyejp6dHu3btMDAwwMrKChcXl6J+SfKpWLEipUqVQl9fX+37YPz48cqfra2tCQkJYe3atYwePRodHR309fUpVaqU2pzDhw9z/Phxbt68iba2NvD0HwW2bNnCTz/9pFSJPysjI4OMjAzlOC0t7ZXvRQghhBBCCCGEeFOkZYQQ4oP27bffUrduXczMzNDX12fJkiUkJycXex03Nze144SEBBo3bqx2rnHjxly8eJHs7Gzi4uLQ1NQsMBH6rNq1ayt/Njc3B1DaMxS2R0JCQoFrxcfHc+nSJQwMDNDX11eSt48fP+by5cvKOEdHRzQ1NdX2zdsTnlY/t2/fnipVqmBgYKDcw4ue26VLl3j48CEtW7ZU9tbX12flypVqez+rZcuWWFlZUbVqVXr37s3q1at5+PBhoXu8qnXr1tG4cWMqVqyIvr4+48ePf+n3QHx8POnp6Ziamqrdz5UrVwq9n2nTpmFkZKR8LC0tX/u9CCGEEEIIIYQQ/5RUCAshPlhr164lJCSEWbNm4e7ujoGBATNmzCA2NlYZo6GhQW5urtq8Z/vp5tHT0yvW3nltFF6mdOnSyp/zqnpzcnKKtVee9PR06taty+rVq/NdMzMzK3DPvH3z9nzw4AFeXl54eXmxevVqzMzMSE5OxsvLi8zMzBfuDbBjxw4qV66sdi2vwvZ5BgYGnD59mujoaPbs2cOECRMICwvjxIkTGBsbF/lr8yJHjx6lV69ehIeH4+XlhZGREWvXrs3X77mg+zE3Nyc6Ojrftbyq6OeFhoYyYsQI5TgtLU2SwkIIIYQQQggh3jmSEBZCfBC0tLTIzs5WOxcTE0OjRo2UlgtAvupOMzMzUlJSlOPs7GzOnTtXYEuGZzk4OCi9fp/dz87ODk1NTZycnMjJyeHAgQNKy4jiytvD399fbY+aNWsWON7V1ZV169ZRvnx5DA0NX2nPP/74g9u3bzN9+nQlmXny5Em1MXm9iJ993jVr1kRbW5vk5OSXVkU/q1SpUnh6euLp6cmXX36JsbExv/76K76+vvm+NmlpaVy5cqVY93PkyBGsrKwYN26ccu7q1av57uf57x1XV1euX79OqVKlsLa2LtJe2trahSa/hRBCCCGEEEKId4UkhIUQHwRra2tiY2NJSkpSWiXY2tqycuVKdu/ejY2NDatWreLEiRPY2Ngo85o3b86IESPYsWMH1apVY/bs2dy7d++l+40cOZJ69eoxadIkunXrxtGjR1mwYAHfffedEo+/vz+BgYHKS+WuXr3KzZs3i9y/eNSoUfj5+eHi4oKnpyc///wzmzZtUl5+9rxevXoxY8YMOnbsyMSJE7GwsODq1ats2rSJ0aNHY2Fh8dI9q1SpgpaWFvPnz+fTTz/l3LlzTJo0SW2MlZUVKpWK7du306ZNG3R0dDAwMCAkJIThw4eTk5PDRx99RGpqKjExMRgaGqoltfNs376d//73vzRp0oSyZcuyc+dOcnJysLe3B55+bSIjI2nfvj3GxsZMmDBBrdVFUdja2pKcnMzatWupV68eO3bsYPPmzWpjrK2tuXLlCnFxcVhYWGBgYICnpyfu7u74+Pjw9ddfY2dnx19//cWOHTvo1KlTvhYiQgjxvkia3rakQxBCCCGEECVMeggLIT4IISEhaGpqUrNmTaXNwYABA/D19aVbt240aNCA27dvq1ULw9MXqPn7+9OnTx+aNm1K1apVX1odDE8rSNevX8/atWupVasWEyZMYOLEiQQEBChjFi5cSJcuXRg4cCA1atQgODiYBw8eFPmefHx8mDt3LjNnzsTR0ZHFixcTERGBh4dHgeN1dXU5ePAgVapUwdfXFwcHB/r168fjx4+LXDFsZmZGZGQkGzZsoGbNmkyfPp2ZM2eqjalcuTLh4eGMHTuWChUqMHjwYAAmTZrEF198wbRp03BwcMDb25sdO3aoJeCfZWxszKZNm2jevDkODg4sWrSINWvW4OjoCDxtwdC0aVPatWtH27Zt8fHxoVq1akV8ek916NCB4cOHM3jwYOrUqcORI0eUFwHm6dy5M97e3jRr1gwzMzPWrFmDSqVi586dNGnShL59+2JnZ0f37t25evUqFSpUKFYMQgghhBBCCCHEu0SV+3yDRiGEEEL8Y2lpaRgZGZGamvrKLTyEEEIIIYQQQoiiKurPoVIhLIQQQgghhBBCCCGEEP8SkhAWQgghhBBCCCGEEEKIfwlJCAshxDvCw8ODYcOGlXQYREZGYmxs/NJxKpWKLVu2vPF4AJo0acKPP/74VvZ63qJFi2jfvn2J7C2EEEIIIYQQQrxukhAWQnyQAgIC8PHxKekw3kvdunXjwoULynFYWBh16tTJNy4lJYXWrVu/8Xi2bdvGjRs36N69u9r53377ja5du1KhQgXKlCmDra0twcHBarEPHTqUunXroq2tXeA9AOzevZuGDRtiYGCAmZkZnTt3JikpSbkeGBjI6dOnOXTo0Ju4PSGEEEIIIYQQ4q0qVdIBCCHE+y4rK4vSpUuXdBgvlZmZiZaW1kvH6ejooKOj89JxFStWfB1hvdS8efPo27cvGhr/92+Y27dvp3Pnznh5ebF69WqqVavGzZs32bBhA1988QXr1q1TxgYGBhIbG8uZM2fyrX3lyhU6duzIiBEjWL16NampqQwfPhxfX19Onz4NgJaWFj179mTevHl8/PHHb/6GhRDiDbIeu6OkQ3hvJU1vW9IhCCGEEEK8FlIhLIR4b/300084OTmho6ODqakpnp6ePHjwgLCwMFasWMHWrVtRqVSoVCqio6MBuHbtGn5+fhgbG2NiYkLHjh3VqkFPnDhBy5YtKVeuHEZGRjRt2lRJDOZRqVQsXLiQDh06oKenx5QpUwBYuHAh1apVQ0tLC3t7e1atWqXMCQwMpF27dmrrZGVlUb58eZYvX17g/WVkZDBmzBgsLS3R1tamevXqytjs7Gz69euHjY0NOjo62NvbM3fuXLX5eVXSU6ZMoVKlStjb25OUlIRKpWLTpk00a9YMXV1dnJ2dOXr0qDLv2ZYRkZGRhIeHEx8frzzLyMhI5TnktYwoyroAhw8f5uOPP0ZHRwdLS0uGDh3KgwcPCvkKw99//82vv/6q1rLh4cOH9O3blzZt2rBt2zY8PT2xsbGhQYMGzJw5k8WLFytj582bx6BBg6hatWqB6586dYrs7GwmT55MtWrVcHV1JSQkhLi4OLKyspRx7du3Z9u2bTx69KjQWIUQQgghhBBCiPeBJISFEO+llJQUevToQWBgIAkJCURHR+Pr60tubi4hISH4+fnh7e1NSkoKKSkpNGrUiKysLLy8vDAwMODQoUPExMSgr6+Pt7c3mZmZANy/fx9/f38OHz7MsWPHsLW1pU2bNty/f19t/7CwMDp16sTZs2cJDAxk8+bNfPbZZ4wcOZJz584xYMAA+vbty/79+wEICgpi165dpKSkKGts376dhw8f0q1btwLvsU+fPqxZs4Z58+aRkJDA4sWL0dfXByAnJwcLCws2bNjA+fPnmTBhAp9//jnr169XWyMqKorExET27t3L9u3blfPjxo1TEp92dnb06NGDJ0+e5IuhW7dujBw5EkdHR+VZFhbvy9a9fPky3t7edO7cmTNnzrBu3ToOHz7M4MGDC13v8OHD6Orq4uDgoJzbvXs3t27dYvTo0QXOKUr/4zx169ZFQ0ODiIgIsrOzSU1NZdWqVXh6eqpVfbu5ufHkyRNiY2OLvLYQQgghhBBCCPEukpYRQoj3UkpKCk+ePMHX1xcrKysAnJyclOs6OjpkZGSotTX44YcfyMnJYdmyZahUKgAiIiIwNjYmOjqaVq1a0bx5c7V9lixZgrGxMQcOHFCr8O3Zsyd9+/ZVjnv06EFAQAADBw4EYMSIERw7doyZM2fSrFkzGjVqpFQN5yUyIyIi6Nq1q5LkfdaFCxdYv349e/fuxdPTE0CtyrV06dKEh4crxzY2Nhw9epT169fj5+ennNfT02PZsmVKq4i8auiQkBDatn36q6/h4eE4Ojpy6dIlatSooRaHjo4O+vr6lCpVqkgtIl607rRp0+jVq5fy4jxbW1vmzZtH06ZNWbhwIWXKlMm33tWrV6lQoYJau4iLFy8C5Iv1VdjY2LBnzx78/PwYMGAA2dnZuLu7s3PnTrVxurq6GBkZcfXq1ULXysjIICMjQzlOS0v7x/EJIYQQQgghhBCvm1QICyHeS87OzrRo0QInJye6du3K0qVLuXv37gvnxMfHc+nSJQwMDNDX10dfXx8TExMeP37M5cuXAbhx4wbBwcHY2tpiZGSEoaEh6enpJCcnq63l5uamdpyQkEDjxo3VzjVu3JiEhATlOCgoiIiICGWfX375hcDAwAJjjYuLQ1NTk6ZNmxZ6P99++y1169bFzMwMfX19lixZki9OJyenAvsG165dW/mzubk5ADdv3ix0r6J60brx8fFERkYqz15fXx8vLy9ycnK4cuVKges9evQoX6I4Nzf3H8eZ5/r16wQHB+Pv78+JEyc4cOAAWlpadOnSJd8+Ojo6PHz4sNC1pk2bhpGRkfKxtLR8bXEKIYQQQgghhBCvi1QICyHeS5qamuzdu5cjR46wZ88e5s+fz7hx44iNjcXGxqbAOenp6dStW5fVq1fnu2ZmZgaAv78/t2/fZu7cuVhZWaGtrY27u7vSUiKPnp5esWPu06cPY8eO5ejRoxw5cgQbG5tCX1L2spe6rV27lpCQEGbNmoW7uzsGBgbMmDEjX0uDwuJ8th1CXrV0Tk5OcW6n2Oump6czYMAAhg4dmm9elSpVClyvXLly+RL9dnZ2APzxxx+4u7v/o3i//fZbjIyM+Prrr5VzP/zwA5aWlsTGxtKwYUPl/J07d5Tvk4KEhoYyYsQI5TgtLU2SwkIIIYQQQggh3jmSEBZCvLdUKhWNGzemcePGTJgwASsrKzZv3syIESPQ0tIiOztbbbyrqyvr1q2jfPnyGBoaFrhmTEwM3333HW3atAGevoTu1q1bL43FwcGBmJgY/P391daqWbOmcmxqaoqPjw8REREcPXpUreXE85ycnMjJyeHAgQNKy4jn42zUqJHSogJQqpxft4Ke5atwdXXl/PnzVK9evchzXFxcuH79Onfv3qVs2bIAtGrVinLlyvH111+zefPmfHPu3btX5D7CDx8+VGtHAU//sQHUE+SXL1/m8ePHuLi4FLqWtrY22traRdpXCCGEEEIIIYQoKZIQFkK8l2JjY4mKiqJVq1aUL1+e2NhY/v77b+XlY9bW1uzevZvExERMTU0xMjKiV69ezJgxg44dOzJx4kQsLCy4evUqmzZtYvTo0VhYWGBra8uqVatwc3MjLS2NUaNGvbRaF2DUqFH4+fnh4uKCp6cnP//8M5s2bWLfvn1q44KCgmjXrh3Z2dlqyePnWVtb4+/vT2BgIPPmzcPZ2ZmrV69y8+ZN/Pz8sLW1ZeXKlezevRsbGxtWrVrFiRMnCq2O/iesra25cuUKcXFxWFhYYGBg8EqJzzFjxtCwYUMGDx5MUFAQenp6nD9/nr1797JgwYIC57i4uFCuXDliYmKUHs55fZG7du1Khw4dGDp0KNWrV+fWrVusX7+e5ORk1q5dC8ClS5dIT0/n+vXrPHr0iLi4OABq1qyJlpYWbdu25ZtvvmHixIn06NGD+/fv8/nnn2NlZaWW/D106BBVq1alWrVqxb5vIYR4lyRNb1vSIQghhBBCiBImPYSFEO8lQ0NDDh48SJs2bbCzs2P8+PHMmjWL1q1bAxAcHIy9vT1ubm6YmZkRExODrq4uBw8epEqVKvj6+uLg4EC/fv14/PixUjG8fPly7t69i6urK71792bo0KGUL1/+pfH4+Pgwd+5cZs6ciaOjI4sXLyYiIgIPDw+1cZ6enpibm+Pl5UWlSpVeuObChQvp0qULAwcOpEaNGgQHB/PgwQMABgwYgK+vL926daNBgwbcvn1brVr4dercuTPe3t40a9YMMzMz1qxZ80rr1K5dmwMHDnDhwgU+/vhjXFxcmDBhwgufg6amJn379s3X5qNjx44cOXKE0qVL07NnT2rUqEGPHj1ITU1l8uTJyrigoCBcXFxYvHgxFy5cwMXFBRcXF/766y8Amjdvzo8//siWLVtwcXHB29sbbW1tdu3apfYPAWvWrCE4OPiV7lsIIYQQQgghhHiXqHJf59t5hBBCvFB6ejqVK1cmIiICX1/fkg7nvXD9+nUcHR05ffo0VlZWb33/33//nebNm3PhwgWMjIyKPC8tLQ0jIyNSU1MLbVEihBBCCCGEEEK8LkX9OVQqhIUQ4i3Iycnh5s2bTJo0CWNjYzp06FDSIb03KlasyPLly0lOTi6R/VNSUli5cmWxksFCCCGEEEIIIcS7SnoICyHEW5CcnIyNjQ0WFhZERkZSqpT89VscPj4+JbZ3QS/1E0IIIYQQQggh3ldSISyEEG+BtbU1ubm5XLt2jRYtWhRpjoeHB8OGDXvtsYSFhVGnTp3Xvu6rsLa2Zs6cOe/EPiqVii1btrzxWIQQQgghhBBCiJIkCWEhxL9CQEBAiVaZlhRJcj514sQJ+vfvX9JhCCGEEEIIIYQQJU5+Z1kIIV6zrKwsSpcuXdJhiGeYmZmVdAhCCPFOsB67o6RD+NdImt62pEMQQgghhCiQVAgLIT4YP/30E05OTujo6GBqaoqnpycPHjwgLCyMFStWsHXrVlQqFSqViujoaACuXbuGn58fxsbGmJiY0LFjR5KSkpQ1T5w4QcuWLSlXrhxGRkY0bdqU06dPq+2rUqlYuHAhHTp0QE9PjylTpgCwcOFCqlWrhpaWFvb29qxatUqZExgYSLt27dTWycrKonz58ixfvrzI97x161ZcXV0pU6YMVatWJTw8nCdPngBP2yQAdOrUCZVKpRznWbVqFdbW1hgZGdG9e3fu37+vXNu1axcfffQRxsbGmJqa0q5dOy5fvqxcT0pKQqVSsWnTJpo1a4auri7Ozs4cPXpUbY+NGzfi6OiItrY21tbWzJo164X3M3v2bJycnNDT08PS0pKBAweSnp6uXI+MjMTY2Jjt27djb2+Prq4uXbp04eHDh6xYsQJra2vKli3L0KFDyc7OVuY93zLi4sWLNGnShDJlylCzZk327t2bL5aXfW8IIYQQQgghhBDvI0kICyE+CCkpKfTo0YPAwEASEhKIjo7G19eX3NxcQkJC8PPzw9vbm5SUFFJSUmjUqBFZWVl4eXlhYGDAoUOHiImJQV9fH29vbzIzMwG4f/8+/v7+HD58mGPHjmFra0ubNm3UkqfwtC9vp06dOHv2LIGBgWzevJnPPvuMkSNHcu7cOQYMGEDfvn3Zv38/AEFBQezatYuUlBRlje3bt/Pw4UO6detWpHs+dOgQffr04bPPPuP8+fMsXryYyMhIJSF94sQJACIiIkhJSVGOAS5fvsyWLVvYvn0727dv58CBA0yfPl25/uDBA0aMGMHJkyeJiopCQ0ODTp06kZOToxbDuHHjCAkJIS4uDjs7O3r06KEkpE+dOoWfnx/du3fn7NmzhIWF8cUXXxAZGVnoPWloaDBv3jx+//13VqxYwa+//sro0aPVxjx8+JB58+axdu1adu3aRXR0NJ06dWLnzp3s3LmTVatWsXjxYn766acC98jJycHX1xctLS1iY2NZtGgRY8aMURtTlO+N52VkZJCWlqb2EUIIIYQQQggh3jXSMkII8UFISUnhyZMn+Pr6YmVlBYCTk5NyXUdHh4yMDCpWrKic++GHH8jJyWHZsmWoVCrgafLU2NiY6OhoWrVqRfPmzdX2WbJkCcbGxhw4cECtwrdnz5707dtXOe7RowcBAQEMHDgQgBEjRnDs2DFmzpxJs2bNaNSokVI1nJfwjIiIoGvXrujr6xfpnsPDwxk7diz+/v4AVK1alUmTJjF69Gi+/PJLpU2CsbGx2n3D06RoZGQkBgYGAPTu3ZuoqCglmdy5c2e18d9//z1mZmacP3+eWrVqKedDQkJo27atEo+joyOXLl2iRo0azJ49mxYtWvDFF18AYGdnx/nz55kxYwYBAQEF3tOzL9GztrZm8uTJfPrpp3z33XfK+aysLKX6GqBLly6sWrWKGzduoK+vT82aNWnWrBn79+8vMLm+b98+/vjjD3bv3k2lSpUAmDp1Kq1bt1bGrFu37qXfG8+bNm0a4eHhBd6XEEIIIYQQQgjxrpAKYSHEB8HZ2ZkWLVrg5ORE165dWbp0KXfv3n3hnPj4eC5duoSBgQH6+vro6+tjYmLC48ePlfYIN27cIDg4GFtbW4yMjDA0NCQ9PZ3k5GS1tdzc3NSOExISaNy4sdq5xo0bk5CQoBwHBQURERGh7PPLL78QGBhY5HuOj49n4sSJSuz6+voEBweTkpLCw4cPXzjX2tpaSQYDmJubc/PmTeX44sWL9OjRg6pVq2JoaKi0m3j+vmvXrq22BqCsU9gzuHjxolo7h2ft27ePFi1aULlyZQwMDOjduze3b99Wux9dXV0lGQxQoUIFrK2t1RLpFSpUULufZyUkJGBpaakkgwHc3d3VxhTle+N5oaGhpKamKp9r164VOE4IIYQQQgghhChJUiEshPggaGpqsnfvXo4cOcKePXuYP38+48aNIzY2FhsbmwLnpKenU7duXVavXp3vWl51rb+/P7dv32bu3LlYWVmhra2Nu7t7vrYBenp6xY65T58+jB07lqNHj3LkyBFsbGz4+OOPizw/PT2d8PBwfH19810rU6bMC+c+/9I7lUql1g6iffv2WFlZsXTpUipVqkROTg61atXKd9/PrpNXSft8W4miSkpKol27dvznP/9hypQpmJiYcPjwYfr160dmZia6urqFxv6y+ymuonxvPE9bWxttbe1X3lMIIYQQQgghhHgbJCEshPhgqFQqGjduTOPGjZkwYQJWVlZs3ryZESNGoKWlla8q1dXVlXXr1lG+fHkMDQ0LXDMmJobvvvuONm3aAE9fNHbr1q2XxuLg4EBMTIzSziFvrZo1ayrHpqam+Pj4EBERwdGjR9VaThSFq6sriYmJVK9evdAxpUuXLrQatzC3b98mMTGRpUuXKgnqw4cPF2sN+L9n8KyYmBjs7OzQ1NTMN/7UqVPk5OQwa9YsNDSe/gLL+vXri71vUeK6du0aKSkpSlXzsWPH1MYU5XtDCCGEEEIIIYR4H0lCWAjxQYiNjSUqKopWrVpRvnx5YmNj+fvvv3FwcACetkjYvXs3iYmJmJqaYmRkRK9evZgxYwYdO3Zk4sSJWFhYcPXqVTZt2sTo0aOxsLDA1taWVatW4ebmRlpaGqNGjUJHR+el8YwaNQo/Pz9cXFzw9PTk559/ZtOmTezbt09tXFBQEO3atSM7O1steVwUEyZMoF27dlSpUoUuXbqgoaFBfHw8586dY/Lkycp9R0VF0bhxY7S1tSlbtuxL1y1btiympqYsWbIEc3NzkpOTGTt2bLFiAxg5ciT16tVj0qRJdOvWjaNHj7JgwQK1fsDPql69OllZWcyfP5/27dsTExPDokWLir3vy3h6emJnZ4e/vz8zZswgLS2NcePGqY0pyveGEEK8j5Kmty3pEIQQQgghRAmTHsJCiA+CoaEhBw8epE2bNtjZ2TF+/HhmzZqlvCgsODgYe3t73NzcMDMzIyYmBl1dXQ4ePEiVKlXw9fXFwcGBfv368fjxY6UqdPny5dy9exdXV1d69+7N0KFDKV++/Evj8fHxYe7cucycORNHR0cWL15MREQEHh4eauM8PT0xNzfHy8tLradtUXh5ebF9+3b27NlDvXr1aNiwId98843yUj2AWbNmsXfvXiwtLXFxcSnSuhoaGqxdu5ZTp05Rq1Ythg8fzowZM4oVGzytsl2/fj1r166lVq1aTJgwgYkTJxb6QjlnZ2dmz57NV199Ra1atVi9ejXTpk0r9r4vo6GhwebNm3n06BH169cnKChIeZlenqJ8bwghhBBCCCGEEO8jVW5ubm5JByGEEP9W6enpVK5cmYiIiAJ7AYv3V1paGkZGRqSmpkoSWQghhBBCCCHEG1fUn0OlZYQQQpSAnJwcbt26xaxZszA2NqZDhw4lHZIQQgghhBBCCCH+BSQhLIQQJSA5ORkbGxssLCyIjIykVCn561gIIYQQQgghhBBvnvQQFkKItyA6OhqVSsW9e/eApy97y83N5dq1a7Ro0QKAyMhIjI2NSy7I1+SLL76gf//+JR3Ga3Pr1i3Kly/P//73v5IORQghhBBCCCGE+MckISyE+FcKCAjAx8fnre3XqFEjUlJSMDIyemt7FtXrfBbXr19n7ty5jBs3Tjl38OBB2rdvT6VKlVCpVGzZsiXfvPT0dAYPHoyFhQU6OjrUrFmTRYsWFXnfS5cuYWBg8EoJ9bCwMGrUqIGenh5ly5bF09OT2NhY5Xq5cuXo06cPX375ZbHXFkIIIYQQQggh3jXyO8pCCPGGZWVloaWlRcWKFUs6lDdu2bJlNGrUCCsrK+XcgwcPcHZ2JjAwsNAX540YMYJff/2VH374AWtra/bs2cPAgQOpVKnSS/srZ2Vl0aNHDz7++GOOHDlS7Jjt7OxYsGABVatW5dGjR3zzzTe0atWKS5cuYWZmBkDfvn2pW7cuM2bMwMTEpNh7CCHEu8J67I6SDqFYkqa3LekQhBBCCCE+OFIhLIT4YP300084OTmho6ODqakpnp6ePHjwgLCwMFasWMHWrVtRqVSoVCqio6MBuHbtGn5+fhgbG2NiYkLHjh1JSkpS1jxx4gQtW7akXLlyGBkZ0bRpU06fPq22r0qlYuHChXTo0AE9PT2mTJmSr2UEPG0RUaVKFXR1denUqRO3b9/Odw8LFy6kWrVqaGlpYW9vz6pVq/LttWzZMjp16oSuri62trZs27ZNuZ6dnU2/fv2wsbFBR0cHe3t75s6dq1z/J8+iIGvXrqV9+/Zq51q3bs3kyZPp1KlTofOOHDmCv78/Hh4eWFtb079/f5ydnTl+/PgL9wMYP348NWrUwM/PL9+1vOrnmTNnYm5ujqmpKYMGDSIrK0sZ07NnTzw9PalatSqOjo7Mnj2btLQ0zpw5o4xxdHSkUqVKbN68+aXxCCGEEEIIIYQQ7zJJCAshPkgpKSn06NGDwMBAEhISiI6OxtfXl9zcXEJCQvDz88Pb25uUlBRSUlJo1KgRWVlZeHl5YWBgwKFDh4iJiUFfXx9vb28yMzMBuH//Pv7+/hw+fJhjx45ha2tLmzZtuH//vtr+YWFhdOrUibNnzxIYGJgvvtjYWPr168fgwYOJi4ujWbNmTJ48WW3M5s2b+eyzzxg5ciTnzp1jwIAB9O3bl/3796uNCw8Px8/PjzNnztCmTRt69erFnTt3AMjJycHCwoINGzZw/vx5JkyYwOeff8769esB/tGzeN6dO3c4f/48bm5uxf56NWrUiG3btvHnn3+Sm5vL/v37uXDhAq1atVLGBAQE4OHhoTbv119/ZcOGDXz77beFrr1//34uX77M/v37WbFiBZGRkURGRhY4NjMzkyVLlmBkZISzs7Patfr163Po0KFC98nIyCAtLU3tI4QQQgghhBBCvGukZYQQ4oOUkpLCkydP8PX1VdoXODk5Kdd1dHTIyMhQa+Pwww8/kJOTw7Jly1CpVABERERgbGxMdHQ0rVq1onnz5mr7LFmyBGNjYw4cOEC7du2U8z179qRv377K8X//+1+1eXPnzsXb25vRo0cDT9sWHDlyhF27diljZs6cSUBAAAMHDgSetlU4duwYM2fOpFmzZsq4gIAAevToAcDUqVOZN28ex48fx9vbm9KlSxMeHq6MtbGx4ejRo6xfvx4/Pz/09fVf+Vk8Lzk5mdzcXCpVqlTAV+TF5s+fT//+/bGwsKBUqVJoaGiwdOlSmjRpoowxNzcnJydHOb59+zYBAQH88MMPGBoaFrp22bJlWbBgAZqamtSoUYO2bdsSFRVFcHCwMmb79u10796dhw8fYm5uzt69eylXrpzaOpUqVeK3334rdJ9p06apPWshhBBCCCGEEOJdJBXCQogPkrOzMy1atMDJyYmuXbuydOlS7t69+8I58fHxysvJ9PX10dfXx8TEhMePH3P58mUAbty4QXBwMLa2thgZGWFoaEh6ejrJyclqa72sSjYhIYEGDRqonXN3d883pnHjxmrnGjduTEJCgtq52rVrK3/W09PD0NCQmzdvKue+/fZb6tati5mZGfr6+ixZsiRfvK/yLJ736NEjAMqUKfPCtQsyf/58jh07xrZt2zh16hSzZs1i0KBB7Nu3Txkzbdo0Vq5cqRwHBwfTs2dPtaRxQRwdHdHU1FSOzc3N1Z4PQLNmzYiLi+PIkSN4e3vj5+eXb4yOjg4PHz4sdJ/Q0FBSU1OVz7Vr14p070IIIYQQQgghxNskFcJCiA+SpqYme/fu5ciRI+zZs4f58+czbtw4YmNjsbGxKXBOeno6devWZfXq1fmu5b1czN/fn9u3bzN37lysrKzQ1tbG3d09XxsFPT29139ThShdurTasUqlUipp165dS0hICLNmzcLd3R0DAwNmzJhBbGzsC9csyrN4Xl5F7d27dwsdU5BHjx7x+eefs3nzZtq2ffryoNq1axMXF8fMmTPx9PQscN6vv/7Ktm3bmDlzJgC5ubnk5ORQqlQplixZorTqeNHzyaOnp0f16tWpXr06DRs2xNbWluXLlxMaGqqMuXPnzgvvS1tbG21t7SLftxBCCCGEEEIIURIkISyE+GCpVCoaN25M48aNmTBhAlZWVmzevJkRI0agpaVFdna22nhXV1fWrVtH+fLlC21BEBMTw3fffUebNm2Apy9eu3XrVrFjc3BwyJeUPXbsWL4xMTEx+Pv7q+1fs2bNIu8TExNDo0aNlLYTQL4K31d9Fs+rVq0ahoaGnD9/Hjs7uyLHmJWVRVZWFhoa6r+0oqmpmS9x+6yjR4+qxb1161a++uorjhw5QuXKlYu8f0FycnLIyMhQO3fu3Ll8PYyFEEIIIYQQQoj3jSSEhRAfpNjYWKKiomjVqhXly5cnNjaWv//+GwcHBwCsra3ZvXs3iYmJmJqaYmRkRK9evZgxYwYdO3Zk4sSJWFhYcPXqVTZt2sTo0aOxsLDA1taWVatW4ebmRlpaGqNGjUJHR6fY8Q0dOpTGjRszc+ZMOnbsyO7du9X6BwOMGjUKPz8/XFxc8PT05Oeff2bTpk1qbRRextbWlpUrV7J7925sbGxYtWoVJ06cUKuSftVn8TwNDQ08PT05fPgwPj4+yvn09HQuXbqkHF+5coW4uDhMTEyoUqUKhoaGNG3aVHmWVlZWHDhwgJUrVzJ79mxlXmhoKH/++afSNiLva5nn5MmTaGhoUKtWrSI/nwcPHjBlyhQ6dOiAubk5t27d4ttvv+XPP/+ka9euyriHDx9y6tQppk6dWuS1hRDiXZQ0vW1JhyCEEEIIIUqY9BAWQnyQDA0NOXjwIG3atMHOzo7x48cza9YsWrduDTztP2tvb4+bmxtmZmbExMSgq6vLwYMHqVKlCr6+vjg4ONCvXz8eP36sVMkuX76cu3fv4urqSu/evRk6dCjly5cvdnwNGzZk6dKlzJ07F2dnZ/bs2cP48ePVxvj4+DB37lxmzpyJo6MjixcvJiIiolhVqgMGDMDX15du3brRoEEDbt++rVYt/E+eRUGCgoJYu3atWmXvyZMncXFxwcXFBXj6cjwXFxcmTJigjFm7di316tWjV69e1KxZk+nTpzNlyhQ+/fRTZUxKSspLex8Xl6amJn/88QedO3fGzs6O9u3bc/v2bQ4dOoSjo6MybuvWrVSpUoWPP/74te4vhBBCCCGEEEK8barc3Nzckg5CCCHEhyE3N5cGDRowfPhwevToUdLhvDYNGzZk6NCh9OzZs8hz0tLSMDIyIjU1tchtN4QQQgghhBBCiFdV1J9DpUJYCCHEa6NSqViyZAlPnjwp6VBem1u3buHr6/tBJbiFEEIIIYQQQvx7SYWwEEII8QZIhbAQQgghhBBCiLdJKoSFEP8KHh4eDBs27IVjVCoVW7ZseSvxFJW1tTVz5swp6TBeWVGe+5sWFhZGnTp1SjQGIYQQQgghhBDifSMJYSHEBy8lJUV5mdy74sSJE/Tv3/+N7vH48WMCAgJwcnKiVKlS+Pj4vNH93kdJSUmoVCri4uJKOhQhhBBCCCGEEOKtKFXSAQghxJtWsWLFkg4hHzMzsze+R3Z2Njo6OgwdOpSNGze+8f2EEKIkWI/dUdIhvFeSprct6RCEEEIIIUQJkwphIUSJ+umnn3ByckJHRwdTU1M8PT158OABAAEBAfj4+BAeHo6ZmRmGhoZ8+umnZGZmqq2Rk5PD6NGjMTExoWLFioSFhaldf7ZlRF5F6KZNm2jWrBm6uro4Oztz9OhRtTlLly7F0tISXV1dOnXqxOzZszE2NlYbs3DhQqpVq4aWlhb29vasWrVKuZabm0tYWBhVqlRBW1ubSpUqMXToUOX68y0jVCoVy5Yto1OnTujq6mJra8u2bdvU9jt37hytW7dGX1+fChUq0Lt3b27dulXos9XT02PhwoUEBwcXKyn+up57cnIyHTt2RF9fH0NDQ/z8/Lhx44ZyPT4+nmbNmmFgYIChoSF169bl5MmTAERGRmJsbMyWLVuwtbWlTJkyeHl5ce3atXzxrlq1Cmtra4yMjOjevTv3799Xru3atYuPPvoIY2NjTE1NadeuHZcvX1au29jYAODi4oJKpcLDw0O5tmzZMhwcHChTpgw1atTgu+++K/IzFEIIIYQQQggh3lWSEBZClJiUlBR69OhBYGAgCQkJREdH4+vry7PvuoyKilKurVmzhk2bNhEeHq62zooVK9DT0yM2Npavv/6aiRMnsnfv3hfuPW7cOEJCQoiLi8POzo4ePXrw5MkTAGJiYvj000/57LPPiIuLo2XLlkyZMkVt/ubNm/nss88YOXIk586dY8CAAfTt25f9+/cDsHHjRr755hsWL17MxYsX2bJlC05OTi+MKTw8HD8/P86cOUObNm3o1asXd+7cAeDevXs0b94cFxcXTp48ya5du7hx4wZ+fn5Fe9jF9E+fe05ODh07duTOnTscOHCAvXv38t///pdu3bop83v16oWFhQUnTpzg1KlTjB07ltKlSyvXHz58yJQpU1i5ciUxMTHcu3eP7t27q8Vw+fJltmzZwvbt29m+fTsHDhxg+vTpyvUHDx4wYsQITp48SVRUFBoaGnTq1ImcnBwAjh8/DsC+fftISUlh06ZNAKxevZoJEyYwZcoUEhISmDp1Kl988QUrVqwo9JllZGSQlpam9hFCCCGEEEIIId41qtxnMy9CCPEWnT59mrp165KUlISVlVW+6wEBAfz8889cu3YNXV1dABYtWsSoUaNITU1FQ0MDDw8PsrOzOXTokDKvfv36NG/eXEkMqlQqNm/ejI+PD0lJSdjY2LBs2TL69esHwPnz53F0dCQhIYEaNWrQvXt30tPT2b59u7LmJ598wvbt27l37x4AjRs3xtHRkSVLlihj/Pz8ePDgATt27GD27NksXryYc+fOqSU581hbWzNs2DDlxWwqlYrx48czadIk4GkiU19fn19++QVvb28mT57MoUOH2L17t7LG//73PywtLUlMTMTOzu6FzzogIIB79+4V6eV6r+O57927l9atW3PlyhUsLS3VnvPx48epV68ehoaGzJ8/H39//3wxREZG0rdvX44dO0aDBg0A+OOPP3BwcCA2Npb69esTFhbGjBkzuH79OgYGBgCMHj2agwcPcuzYsQLv7datW5iZmXH27Flq1aqlfD/89ttvai+oq169OpMmTaJHjx7KucmTJ7Nz506OHDlS4NphYWH5kubAS9/uKoT4Z6RlRPFIywghhBBCiA9XWloaRkZGL/05VCqEhRAlxtnZmRYtWuDk5ETXrl1ZunQpd+/ezTcmLykJ4O7uTnp6ulrrgNq1a6vNMTc35+bNmy/c+9k55ubmAMqcxMRE6tevrzb++eOEhAQaN26sdq5x48YkJCQA0LVrVx49ekTVqlUJDg5m8+bNSgVyUWLS09PD0NBQiSk+Pp79+/ejr6+vfGrUqAGg1gKhOJKTk9XWmzp1qnLtnz73hIQELC0tlWQwQM2aNTE2Nlae0YgRIwgKCsLT05Pp06fnu49SpUpRr1495bhGjRpq8+FpYj0vGfx8DAAXL16kR48eVK1aFUNDQ6ytrZV7L8yDBw+4fPky/fr1U3s+kydPfuGzDg0NJTU1VfkU1N5CCCGEEEIIIYQoafJSOSFEidHU1GTv3r0cOXKEPXv2MH/+fMaNG0dsbKzS27Uonq/AValUSkuAosxRqVQAL51THHmVu/v27WPv3r0MHDiQGTNmcODAgQIrhp+PKS+uvJjS09Np3749X331Vb55eQnt4qpUqRJxcXHKsYmJSbHmv8pzf1ZYWBg9e/Zkx44d/PLLL3z55ZesXbuWTp06vbYY2rdvj5WVFUuXLqVSpUrk5ORQq1atfP2Qn5Weng487SOdV52cR1NTs9B52traaGtrFzl2IYQQQgghhBCiJEiFsBCiRKlUKho3bkx4eDi//fYbWlpabN68WbkeHx/Po0ePlONjx46hr6+vVnn6utnb23PixAm1c88fOzg4EBMTo3YuJiaGmjVrKsc6Ojq0b9+eefPmER0dzdGjRzl79uwrxeTq6srvv/+OtbU11atXV/vo6em90pqlSpVSW+fZhPA/fe4ODg5cu3ZNrUr2/Pnz3Lt3T+0Z2dnZMXz4cPbs2YOvry8RERHKtSdPnigvmYOnldv37t3DwcGhSDHcvn2bxMRExo8fT4sWLXBwcMhXga6lpQVAdna2cq5ChQpUqlSJ//73v/medXH+oUIIIYQQQgghhHgXSYWwEKLExMbGEhUVRatWrShfvjyxsbH8/fffagm/zMxM+vXrx/jx40lKSuLLL79k8ODBaGi8uX/PGjJkCE2aNGH27Nm0b9+eX3/9lV9++UWpJAYYNWoUfn5+uLi44Onpyc8//8ymTZvYt28f8LQHbnZ2Ng0aNEBXV5cffvgBHR2dAnslF8WgQYNYunQpPXr0YPTo0ZiYmHDp0iXWrl3LsmXLCq1cPX/+PJmZmdy5c4f79+8rFcHP9sstyD997p6enjg5OdGrVy/mzJnDkydPGDhwIE2bNsXNzY1Hjx4xatQounTpgo2NDf/73/84ceIEnTt3VtYoXbo0Q4YMYd68eZQqVYrBgwfTsGHDfO07ClO2bFlMTU1ZsmQJ5ubmJCcnM3bsWLUx5cuXR0dHh127dv0/9u49ruf7f/z/7eUQHZQhYiLiVbG0lzHU3lakg0S1j97v8pYoh69TWEO0JccdWpPMYZliG7b3VitMDinzdmhOzSIsE97WhkUUavT6/eHS8+flVamZZdv9erm8/ng+no/T8/F62S7dX4/X/UH79u1p2rQpZmZmREdHM3XqVMzMzPDw8KCsrIzDhw9z7do1ZsyYUavxhRB/DMmJK4QQQgghRN3IDmEhRL0xNTXl66+/ZvDgwajVaiIjI3n33Xfx9PRU6gwcOJCuXbvSv39//vnPfzJ06FDmzZv3ROfl5OTEqlWriI2NxcHBgfT0dKZPn07Tpk2VOj4+PsTFxRETE0P37t1ZvXo1iYmJODs7A9C8eXMSEhJwcnKiR48e7Nq1i82bN9OyZcvfNKd27dqxb98+7t27h5ubG/b29kybNo3mzZvXGKQdPHgwGo2GzZs3k5WVhUajQaPRPHK8x113lUpFamoqzzzzDP3798fV1ZXOnTvz6aefAvdTL/zyyy8EBQWhVqvx9/fH09NT51A2IyMjZs2aRWBgIE5OTpiYmCjta6NBgwZs2rSJI0eO8NxzzzF9+nTeeecdnTqNGjVi2bJlrF69mnbt2jFs2DAAQkNDWbNmDYmJidjb2/Pyyy+TlJQkO4SFEEIIIYQQQvzpqbRarba+JyGEEFUJDg7m+vXrfPnll/U9FcaOHcupU6fYu3dvfU/liXsa1j0pKYlp06Zx/fr1epvD46rt6a5CCCGEEEIIIcTvobZ/h0rKCCGEqEJMTAyDBg3C2NiYbdu2sW7dOlasWFHf0xJCCCGEEEIIIYR4LBIQFkKIKnzzzTe8/fbb3Lx5k86dO7Ns2TJCQ0Pre1pCCCGEEEIIIYQQj0VSRgghhKg1Z2dnnn/+eZYuXVptHZVKRUpKCj4+Pn/YvB7FysqKadOmMW3atD9sTEkZIYQQQgghhBDijyQpI4QQQtSLwsJCnnnmmfqeho5Dhw5hbGxc39MQQgghhBBCCCHqnQSEhRBC/K4sLCzqewp6zM3N63sK4k/IavbW+p6CEL+7gje96nsKQgghhBCinjWo7wkIIYT4Y33++efY29tjaGhIy5YtcXV1pbS0lODgYHx8fIiOjsbc3BxTU1MmTJhAeXm5TvuKigpmzpxJixYtsLCwYN68eTr3VSoVX375JQAFBQWoVCqSk5NxcXHByMgIBwcHDhw4oNMmISEBS0tLjIyM8PX1JTY2lubNm+vUWblyJdbW1hgYGGBjY8NHH32k3NNqtcybN48OHTrQpEkT2rVrx9SpU5X7VlZWOmkuVCoVa9aswdfXFyMjI7p27UpaWprOeLm5uXh6emJiYkKbNm0YOXIkV69ereNqCyGEEEIIIYQQTxcJCAshxN9IYWEhAQEBjBkzhry8PLKysvDz86MynXxGRoZSvnHjRpKTk4mOjtbpY926dRgbG5Odnc3bb7/N/Pnz2blzZ43jzp07l/DwcHJyclCr1QQEBHD37l0A9u3bx4QJEwgLCyMnJ4dBgwaxaNEinfYpKSmEhYXx6quvkpuby/jx4xk9ejSZmZkAfPHFF7z33nusXr2a77//ni+//BJ7e/sa5xQdHY2/vz/Hjx9n8ODBjBgxgqKiIgCuX7/OgAED0Gg0HD58mPT0dH7++Wf8/f2r7a+srIwbN27ovIQQQgghhBBCiKeNHConhBB/I0ePHuWFF16goKCAjh076twLDg5m8+bNXLx4ESMjIwBWrVrFa6+9RnFxMQ0aNMDZ2Zl79+6xd+9epd2LL77IgAEDePPNNwHdQ+UKCgro1KkTa9asISQkBICTJ0/SvXt38vLysLW15V//+hclJSVs2bJF6fPf//43W7Zs4fr16wA4OTnRvXt3PvjgA6WOv78/paWlbN26ldjYWFavXk1ubi6NGzfWe+6HD5VTqVRERkayYMECAEpLSzExMWHbtm14eHiwcOFC9u7dy/bt25U+/ve//2Fpacnp06dRq9V6Y8ybN08veA7IoXJ/YpIyQvwVScoIIYQQQoi/rtoeKic7hIUQ4m/EwcGBgQMHYm9vz/Dhw0lISODatWs69yuDwQD9+vWjpKSEixcvKmU9evTQ6bNt27Zcvny5xnEfbNO2bVsApc3p06d58cUXdeo/fJ2Xl4eTk5NOmZOTE3l5eQAMHz6c27dv07lzZ8aOHUtKSoqyA7k2czI2NsbU1FSZ07fffktmZiYmJibKy9bWFoCzZ89W2V9ERATFxcXK68E1E0IIIYQQQgghnhYSEBZCiL+Rhg0bsnPnTrZt20a3bt2Ij4/HxsaGc+fO1bqPh3fgqlQqKioqat1GpVIBPLJNXVTu3F2xYgWGhoZMnDiR/v378+uvv9ZqTpXzqpxTSUkJ3t7e5OTk6Ly+//57+vfvX2V/TZo0wdTUVOclhBBCCCGEEEI8bRrV9wSEEEL8sVQqFU5OTjg5OfHGG2/QsWNHUlJSgPs7Y2/fvo2hoSEABw8exMTEBEtLyyc2HxsbGw4dOqRT9vC1nZ0d+/btY9SoUUrZvn376Natm3JtaGiIt7c33t7eTJo0CVtbW7777jt69uxZ5zn17NmTL774AisrKxo1kv9V/l3JT+uFEEIIIYQQf0XyV64QQvyNZGdnk5GRgZubG61btyY7O5srV65gZ2fH8ePHKS8vJyQkhMjISAoKCoiKimLy5Mk0aPDkflAyZcoU+vfvT2xsLN7e3uzevZtt27YpO4kBXnvtNfz9/dFoNLi6urJ582aSk5PZtWsXAElJSdy7d48+ffpgZGTExx9/jKGhoV6e5NqaNGkSCQkJBAQEMHPmTFq0aEF+fj6bNm1izZo1NGzY8Hd5diGEEEIIIYQQ4o8mKSOEEOJvxNTUlK+//prBgwejVquJjIzk3XffxdPTE4CBAwfStWtX+vfvzz//+U+GDh3KvHnznuicnJycWLVqFbGxsTg4OJCens706dNp2rSpUsfHx4e4uDhiYmLo3r07q1evJjExEWdnZwCaN29OQkICTk5O9OjRg127drF582Zatmz5m+bUrl079u3bx71793Bzc8Pe3p5p06bRvHnzJxocF0IIIYQQQgghnjSVVqvV1vckhBBC1L/g4GCuX7/Ol19+Wd9TYezYsZw6dYq9e/fW91R+s9qe7iqEEEIIIYQQQvweavt3qKSMEEIIUe9iYmIYNGgQxsbGbNu2jXXr1rFixYr6npYQQgghhBBCCPGXI797FUI8Uc7OzkybNq3GOiqV6qnYlfpHeXhNrKysWLp06WP3e/r0aSwsLLh582a1dZKSkmjevPljj/V7++abbxg0aBD29vasWrWKZcuWERoa+ofOoW/fvnzxxRd/6JhCCCGEEEIIIcQfTQLCQoh6V1hYqOSw/Ts6dOgQ48aNe+x+IiIimDJlCs2aNat1m8LCQgIDA1Gr1axfvx4rK6sq6y1duhQbGxsMDQ2xtLRk+vTp3Llzp9p+CwoKCAkJoVOnThgaGmJtbU1UVBTl5eV6dffs2cOBAwe4fPkyb7zxBkZGRrz22mu0bt0aHx8fTp8+XeUYWq0WT0/PWn2hkJCQwD/+8Q+eeeYZnnnmGVxdXfnmm2906kRGRjJ79mwqKir02gcHB1NQUFDjGEIIIYQQQgghxJ+BpIwQQtQ7CwuL+p5CvTI3N3/sPi5cuMCWLVuIj4+vU7uysjLMzc2JjIzkvffeq7LOhg0bmD17NmvXrsXR0ZEzZ84QHByMSqUiNja2yjanTp2ioqKC1atX06VLF3Jzcxk7diylpaXExMTo1E1NTcXb2xu4HxyeNGkSvXv35u7du8yZMwc3NzdOnjyJsbGxTrulS5eiUqlq9ZxZWVkEBATg6OhI06ZNeeutt3Bzc+PEiRM8++yzAHh6ehIaGsq2bdvw8vKiqKiIjRs3MnHiRKWfs2fPcvDgQUaMGFGrcYUQTzer2Vvrewp/uII3vep7CkIIIYQQop7JDmEhRI0+//xz7O3tMTQ0pGXLlri6ulJaWgrc3zXp4+NDdHQ05ubmmJqaMmHCBL1doBUVFcycOZMWLVpgYWHBvHnzdO4/uMOzoKAAlUpFcnIyLi4uGBkZ4eDgwIEDB3TaJCQkYGlpiZGREb6+vsTGxuqlQli5ciXW1tYYGBhgY2PDRx99pDfu6tWrGTJkCEZGRtjZ2XHgwAHy8/NxdnbG2NgYR0dHzp49q8ytQYMGHD58WKefpUuX0rFjR2VnaW5uLp6enpiYmNCmTRtGjhzJ1atXq13jh1NGqFQq1qxZg6+vL0ZGRnTt2pW0tLRq2wN89tlnODg4KMHNSklJSXTo0EFZp19++UVv7Li4OIKCgjAzM6uy7/379+Pk5ERgYCBWVla4ubkREBCgt8P2QR4eHiQmJuLm5kbnzp0ZOnQo4eHhJCcn69VNS0tj6NChAKSnpxMcHEz37t1xcHAgKSmJCxcucOTIEZ02OTk5vPvuu6xdu7bGdan0ySefMHHiRJ5//nlsbW1Zs2YNFRUVZGRkKHUaNmzI4MGD2bRpEwBNmzbl0qVLeHh48L///Y9Vq1YRHBxMp06dajWmEEIIIYQQQgjxNJKAsBCiWoWFhQQEBDBmzBjy8vLIysrCz88PrVar1MnIyFDubdy4keTkZKKjo3X6WbduHcbGxmRnZ/P2228zf/58du7cWePYc+fOJTw8nJycHNRqNQEBAdy9exeAffv2MWHCBMLCwsjJyWHQoEEsWrRIp31KSgphYWG8+uqr5ObmMn78eEaPHk1mZqZOvQULFhAUFEROTg62trYEBgYyfvx4IiIiOHz4MFqtlsmTJwP3g6eurq4kJibq9JGYmEhwcDANGjTg+vXrDBgwAI1Gw+HDh0lPT+fnn3/G39+/TmsfHR2Nv78/x48fZ/DgwYwYMYKioqJq6+/du5devXrplGVnZxMSEsLkyZPJycnBxcWFhQsX1mkeAI6Ojhw5ckQJAP/www989dVXDB48WKmTlJT0yN26xcXFtGjRQqfsxIkTXL58mQEDBlTbBtBpd+vWLQIDA3n//fer3V1uZWWl98XDg27dusWvv/6qN58XX3yRvXv3AmBkZMTixYsJCwsjKyuLgwcPsnv3bhwdHWt8TiGEEEIIIYQQ4mkmAWEhRLUKCwu5e/cufn5+WFlZYW9vz8SJEzExMVHqGBgYsHbtWrp3746Xlxfz589n2bJlOnlYe/ToQVRUFF27diUoKIhevXrp7MysSnh4OF5eXqjVaqKjozl//jz5+fkAxMfH4+npSXh4OGq1mokTJ+rlII6JiSE4OJiJEyeiVquZMWMGfn5+eukKRo8ejb+/P2q1mlmzZlFQUMCIESNwd3fHzs5OCQZWCg0NZePGjZSVlQFw9OhRvvvuO0aPHg3A8uXL0Wg0LF68GFtbWzQaDWvXriUzM5MzZ87Ueu2Dg4MJCAigS5cuLF68mJKSkhp35J4/f5527drplMXFxeHh4cHMmTNRq9VMnToVd3f3Ws+hUmBgIPPnz+ell16icePGWFtb4+zszJw5c5Q6ZmZm2NjYVNtHfn4+8fHxjB8/Xqc8NTUVd3d3DAwM9NpUVFQwbdo0nJyceO6555Ty6dOn4+joyLBhw6odz9ramlatWlV7f9asWbRr1w5XV1ed8nbt2nHx4kUqKiq4c+cOb7zxBnFxcTg7O9O3b98qcw9XKisr48aNGzovIYQQQgghhBDiaSMBYSFEtRwcHBg4cCD29vYMHz6chIQErl27plfHyMhIue7Xrx8lJSVcvHhRKevRo4dOm7Zt23L58uUax36wTdu2bQGUNqdPn+bFF1/Uqf/wdV5eHk5OTjplTk5O5OXlVTtOmzZtALC3t9cpu3PnjhLc8/HxoWHDhqSkpAD3d8a6uLgoh7F9++23ZGZmYmJiorxsbW0BlNQTtfHgvIyNjTE1Na1xzW7fvk3Tpk11yvLy8ujTp49OWb9+/Wo9h0pZWVksXryYFStWcPToUZKTk9m6dSsLFixQ6vj6+nLq1Kkq21emXRg+fDhjx47VuZeamqqki3jYpEmTyM3NVVI4wP30Ert379ZJsVGVjIwMZWf3w9588002bdpESkqK3poZGhpSUVFBWVkZt27dok2bNqSnp9O+fXsmTJjA2rVrqw3sL1myBDMzM+VlaWlZ4xyFEEIIIYQQQoj6IAFhIUS1GjZsyM6dO9m2bRvdunUjPj4eGxsbzp07V6d+GjdurHOtUql0dhA/qk1lKoJHtfktqhqnprENDAwICgoiMTGR8vJyNmzYwJgxY5T6JSUleHt7k5OTo/P6/vvv6d+//2+aV+U8anr+Vq1a6QXrfy+vv/46I0eOJDQ0FHt7e3x9fVm8eDFLlix55Hvy448/4uLigqOjIx988IHOvcLCQo4dO4aXl/4BR5MnT2bLli1kZmbSvn17pXz37t2cPXuW5s2b06hRIxo1un826iuvvIKzs/MjnyUmJoY333yTHTt26H1RAVBUVISxsTGGhoa0aNGCSZMm6aTCsLa25t///neVfUdERFBcXKy8HvxSRAghhBBCCCGEeFo0qu8JCCGebiqVCicnJ5ycnHjjjTfo2LEjKSkpzJgxA7i/I/b27dsYGhoCcPDgQUxMTJ7o7kgbGxsOHTqkU/bwtZ2dHfv27WPUqFFK2b59++jWrdtjjx8aGspzzz3HihUrlJQalXr27MkXX3yBlZWVEqz8I2g0Gk6ePKlTZmdnR3Z2tk7ZwYMH69z3rVu3aNBA9/vDhg0bAujkk37YpUuXcHFx4YUXXiAxMVGvj82bN+Po6KiTx1er1TJlyhRSUlLIysrSO8Bt9uzZhIaG6pTZ29vz3nvv4e3tXeNzvP322yxatIjt27fr5VuulJubi0aj0StPSkqqsW+AJk2a0KRJk0fWE0IIIYQQQggh6pMEhIUQ1crOziYjIwM3Nzdat25NdnY2V65cwc7OTqlTXl5OSEgIkZGRFBQUEBUVxeTJk/WCf7+nKVOm0L9/f2JjY/H29mb37t1s27ZNZyfna6+9hr+/PxqNBldXVzZv3kxycjK7du167PHt7Ozo27cvs2bNYsyYMUowHO6nOUhISCAgIICZM2fSokUL8vPz2bRpE2vWrFECqb83d3d3QkNDuXfvnjLG1KlTcXJyIiYmhmHDhrF9+3bS09P12ubk5AD3dzdfuXKFnJwcDAwMlOC5t7c3sbGxaDQa+vTpQ35+Pq+//jre3t7KWCkpKURERChpIy5duoSzszMdO3YkJiaGK1euKONVHgSXlpamly5i0qRJbNiwgdTUVJo1a8ZPP/0E3M9RbGhoiIWFRZUHyXXo0EEneDxw4EB8fX2VtBFvvfUWb7zxBhs2bMDKykrptzKtR6W9e/fi5uZW22UXQvzJFbyp/wsFIYQQQggh/uokZYQQolqmpqZ8/fXXDB48GLVaTWRkJO+++67OAW4DBw6ka9eu9O/fn3/+858MHTqUefPmPdF5OTk5sWrVKmJjY3FwcCA9PZ3p06fr5IP18fEhLi6OmJgYunfvzurVq0lMTKxVWoHaCAkJoby8XCddBNw/lGzfvn3cu3cPNzc37O3tmTZtGs2bN3+iQXJPT08aNWqkE/Du27cvCQkJxMXF4eDgwI4dO4iMjNRrq9Fo0Gg0HDlyhA0bNqDRaBg8eLByPzIykldffZXIyEi6detGSEgI7u7urF69WqlTXFzM6dOnleudO3eSn59PRkYG7du3p23btsoLoLS0lIyMDL2A8MqVKykuLsbZ2Vmnzaefflqn9Th79ixXr17V6be8vJz/+7//0+n3wUMGL126xP79+5UDAoUQQgghhBBCiL8ilbam3/sKIUQNgoODuX79Ol9++WV9T4WxY8dy6tQp9u7d+4eMt2DBAv7zn/9w/PjxP2S82nj//fdJS0tj+/bt9T2VR0pOTiYyMlIvzUV9mjVrFteuXdPLdfxb3bhxAzMzM4qLizE1Nf1d+hRCCCGEEEIIIapT279DJWWEEOJPKSYmhkGDBmFsbMy2bdtYt24dK1aseOLjlpSUUFBQwPLly1m4cOETH68uxo8fz/Xr17l58ybNmjWr7+nUyMTEhLfeequ+p6GjdevWSm5sIYQQQgghhBDir0p2CAshfrP63CHs7+9PVlYWN2/epHPnzkyZMoUJEyY88XGDg4PZuHEjPj4+bNiw4YnlBBZ/frJDWAghhBBCCCHEH6m2f4dKDmEhHuDs7My0adNqrKNSqZ6KFAl/lIfXxMrKiqVLlwKQlJT0m9fi9OnTWFhYcPPmzWrrJCUl0bx58yrvffbZZ1y+fJnbt29z4sSJPyQYXDmnsrIyPv300z9lMPjv9vmtrfT0dJ5//nkqKirqeypCCCGEEEIIIcQTJQFhIeqosLBQ51C1v5tDhw4xbty4x+4nIiKCKVOm1Cm1QWFhIYGBgajVaho0aFBt8H7p0qXY2NhgaGiIpaUl06dP586dO9X2W1BQQEhICJ06dcLQ0BBra2uioqIoLy/Xq7tnzx4sLS0BWLJkCb1796ZZs2a0bt0aHx8fnYPVHqTVavH09KxVQPbEiRO88sorWFlZoVKplAD8k7Bo0SIcHR0xMjKqNvh+6NAhBg4cSPPmzXnmmWdwd3fn22+/rbHfr7/+Gm9vb9q1a/fIZ3ZxcWHNmjV8++23BAQEYGlpiaGhIXZ2dsTFxVXbbt++fTRq1Ijnn3++xrnU5v318PCgcePGfPLJJ1W2Dw4OrnEMIYQQQgghhBDiz0JyCAtRRxYWFvU9hXplbm7+2H1cuHCBLVu2EB8fX6d2ZWVlmJubExkZyXvvvVdlnQ0bNjB79mzWrl2Lo6MjZ86cITg4GJVKRWxsbJVtTp06RUVFBatXr6ZLly7k5uYyduxYSktLiYmJ0ambmpqKt7c3cD84PGnSJHr37s3du3eZM2cObm5unDx5EmNjY512S5cuRaVS1eo5b926RefOnRk+fDjTp0+vVZvfqry8nOHDh9OvXz8+/PBDvfslJSV4eHgwdOhQVqxYwd27d4mKisLd3Z2LFy/SuHHjKvstLS3FwcGBMWPG4OfnV+34RUVF7Nu3j02bNrF161Zat27Nxx9/jKWlJfv372fcuHE0bNiQyZMn67S7fv06QUFBDBw4kJ9//rnGZ6zt+xscHMyyZcsYOXIkAJ988gl9+/ZVdoJrtVpWrFhBYGAgzzzzTI1jCiHE08pq9tb6nsJfXsGbXvU9BSGEEEKIGskOYfGX8vnnn2Nvb4+hoSEtW7bE1dWV0tJS4H6wx8fHh+joaMzNzTE1NWXChAl6u0ArKiqYOXMmLVq0wMLCgnnz5uncf3C3Y0FBASqViuTkZFxcXDAyMsLBwYEDBw7otElISMDS0hIjIyN8fX2JjY3V2425cuVKrK2tMTAwwMbGho8++khv3NWrVzNkyBCMjIyws7PjwIED5Ofn4+zsjLGxMY6Ojpw9e1aZW4MGDTh8+LBOP0uXLqVjx47KT+Nzc3Px9PTExMSENm3aMHLkSK5evVrtGj+YMqJyXmvWrMHX1xcjIyO6du1KWlpate3hfroHBwcHnn32WZ3ypKQkOnTooKzTL7/8ojd2XFwcQUFBmJmZVdn3/v37cXJyIjAwECsrK9zc3AgICOCbb76pdj4eHh4kJibi5uZG586dGTp0KOHh4SQnJ+vVTUtLY+jQocD9NAPBwcF0794dBwcHkpKSuHDhAkeOHNFpk5OTw7vvvsvatWtrXJdKvXv35p133uFf//oXTZo0qVWbqnz//ff079+fpk2b0q1bN3bu3KlXJzo6munTp2Nvb19lH6dOnaKoqIj58+djY2ND9+7diYqK4ueff+b8+fPVju3p6cnChQvx9fWtcY5bt26lZ8+etGnThjFjxhAXF8fLL79M586d+fe//83o0aOrfB8mTJhAYGAg/fr1e8Qq1P799fb25vDhw8q/oU6dOjFq1ChWrVrF//73Pzw8PLh06dJjvSdCCCGEEEIIIUR9k4Cw+MsoLCwkICCAMWPGkJeXR1ZWFn5+fjx4bmJGRoZyb+PGjSQnJxMdHa3Tz7p16zA2NiY7O5u3336b+fPnVxlIe9DcuXMJDw8nJycHtVpNQEAAd+/eBe7/rH3ChAmEhYWRk5PDoEGDWLRokU77lJQUwsLCePXVV8nNzWX8+PGMHj2azMxMnXoLFiwgKCiInJwcbG1tCQwMZPz48URERHD48GG0Wq2yk9LKygpXV1cSExN1+khMTCQ4OJgGDRpw/fp1BgwYgEaj4fDhw6Snp/Pzzz/j7+9fp7WPjo7G39+f48ePM3jwYEaMGEFRUVG19ffu3UuvXr10yrKzswkJCWHy5Mnk5OTg4uLCwoUL6zQPAEdHR44cOaIEgH/44Qe++uorBg8erNRJSkp65G7d4uJiWrRooVN24sQJLl++zIABA6ptA+i0u3XrFoGBgbz//vvV7i63srLS++LhcVVUVODn54eBgQHZ2dmsWrWKWbNm1bkfGxsbWrZsyYcffkh5eTm3b9/mww8/xM7ODisrK6WeSqUiKSmpzv2npaUxbNiwau9X9T4kJibyww8/EBUVVWWb3/r+dujQgTZt2rB3717g/mcpMzOTAwcOkJWVxbRp01i8eDFGRka1eTQhhBBCCCGEEOKpJAFh8ZdRWFjI3bt38fPzw8rKCnt7eyZOnIiJiYlSx8DAgLVr19K9e3e8vLyYP38+y5Yt0zlIqkePHkRFRdG1a1eCgoLo1asXGRkZNY4dHh6Ol5cXarWa6Ohozp8/T35+PgDx8fF4enoSHh6OWq1m4sSJejmIY2JiCA4OZuLEiajVambMmIGfn59euoLRo0fj7++PWq1m1qxZFBQUMGLECNzd3bGzsyMsLIysrCylfmhoKBs3bqSsrAyAo0eP8t133zF69GgAli9fjkajYfHixdja2qLRaFi7di2ZmZmcOXOm1msfHBxMQEAAXbp0YfHixZSUlNS4I/f8+fO0a9dOpywuLg4PDw9mzpyJWq1m6tSpuLu713oOlQIDA5k/fz4vvfQSjRs3xtraGmdnZ+bMmaPUMTMzw8bGpto+8vPziY+PZ/z48TrlqampuLu7Y2BgoNemoqKCadOm4eTkxHPPPaeUT58+HUdHxxqDntbW1rRq1aouj/lIu3bt4tSpU6xfvx4HBwf69+/P4sWL69xPs2bNyMrK4uOPP8bQ0BATExPS09PZtm0bjRr9/1mHbGxsqt21XZ2ysjLS09OVHdcP279/P59++qlOzurvv/+e2bNn8/HHH+uM/6Df+v4CtGvXTtn5nJ2dzcCBA+nXrx/Ozs4sXbqUN954o9p81GVlZdy4cUPnJYQQQgghhBBCPG0kICz+MhwcHBg4cCD29vYMHz6chIQErl27plfnwd19/fr1o6SkhIsXLyplPXr00GnTtm1bLl++XOPYD7Zp27YtgNLm9OnTvPjiizr1H77Oy8vDyclJp8zJyYm8vLxqx2nTpg2Azk/927Rpw507d5RAlI+PDw0bNiQlJQW4v3PSxcVF2dn57bffkpmZiYmJifKytbUFUH42XxsPzsvY2BhTU9Ma1+z27ds0bdpUpywvL48+ffrolNUmHcDDsrKyWLx4MStWrODo0aMkJyezdetWFixYoNTx9fXl1KlTVba/dOkSHh4eDB8+nLFjx+rcS01NrTZ4OWnSJHJzc9m0aZNSlpaWxu7dux95KFxGRoZejtzHlZeXh6WlpU7g/bes5+3btwkJCcHJyYmDBw+yb98+nnvuOby8vLh9+7ZS79SpU49MD/Gw3bt307p1a7p37653Lzc3l2HDhhEVFYWbmxsA9+7dIzAwkOjoaNRqdbX9/tb3F8DQ0JBbt24B94PPiYmJTJgwgfbt25Oenk6bNm2U+w9bsmQJZmZmyqvy8EEhhBBCCCGEEOJpIofKib+Mhg0bsnPnTvbv38+OHTuIj49n7ty5ZGdn06lTp1r38/AhWSqVSmcH8aPaVP5U/VFtfouqxqlpbAMDA4KCgkhMTMTPz48NGzYQFxen1C8pKcHb25u33npLb6zKwHZd51U5j5qev1WrVnrB+t/L66+/zsiRIwkNDQXuB8xLS0sZN24cc+fOpUGD6r8H+/HHH3FxccHR0ZEPPvhA515hYSHHjh3Dy0v/oJjJkyezZcsWvv76a9q3b6+U7969m7Nnz+rli37llVf4xz/+obOb+2m1YcMGCgoKOHDggLJ2GzZs4JlnniE1NZV//etfv7nvB/MxP+jkyZMMHDiQcePGERkZqZTfvHmTw4cPc+zYMSWAXlFRgVarpVGjRuzYsaPadB5Q8/tbqaioSDk48d///jdwPx833P9cT5o0qdr+IyIimDFjhnJ948YNCQoLIYQQQgghhHjqSEBY/KWoVCqcnJxwcnLijTfeoGPHjqSkpChBmm+//Zbbt29jaGgIwMGDBzExMXmiQRsbGxsOHTqkU/bwtZ2dHfv27WPUqFFK2b59++jWrdtjjx8aGspzzz3HihUrlJQalXr27MkXX3yBlZVVtT+/fxI0Gg0nT57UKbOzsyM7O1un7ODBg3Xu+9atW3pB34YNGwLo5JN+2KVLl3BxceGFF14gMTFRr4/Nmzfj6Oiok3dWq9UyZcoUUlJSyMrK0vviYfbs2UpgupK9vT3vvfce3t7edX62urCzs+PixYsUFhYqwf3HWc8Hc/JWXj/Olx5arZbNmzfz8ccf65SfOHGCAQMGMGrUKL1c26ampnz33Xc6ZStWrGD37t18/vnnNX7x86j3F+DOnTucPXsWjUajU25lZVWr/MhNmjSRA+eEEEIIIYQQQjz1JCAs/jKys7PJyMjAzc2N1q1bk52dzZUrV7Czs1PqlJeXExISQmRkJAUFBURFRTF58uQad40+rilTptC/f39iY2Px9vZm9+7dbNu2TSfA9tprr+Hv749Go8HV1ZXNmzeTnJzMrl27Hnt8Ozs7+vbty6xZsxgzZowSDIf7aQ4SEhIICAhg5syZtGjRgvz8fDZt2sSaNWuUQOrvzd3dndDQUO7du6eMMXXqVJycnIiJiWHYsGFs376d9PR0vbY5OTnA/d3NV65cIScnBwMDAyV47u3tTWxsLBqNhj59+pCfn8/rr7+Ot7e3MlZKSgoRERFKWoFLly7h7OxMx44diYmJ4cqVK8p4lQfBVbWbddKkSWzYsIHU1FSaNWvGTz/9BNzPYWtoaIiFhUWVB8l16NBBJ3g5cOBAfH19lV2v5eXlSsC8vLycS5cukZOTg4mJCV26dKnVGru6uqJWqxk1ahTvvPMON27cYO7cuXr1Lly4QFFRERcuXODevXvK+nbp0gUTExMGDRrEa6+9xqRJk5gyZQoVFRW8+eabNGrUCBcXF6UfW1tblixZoqSNKCkpUfJoA5w7d46cnBxatGhBhw4dOHLkCLdu3eKll15S6uTm5jJgwADc3d2ZMWOGsp4NGzbE3NycBg0a6ORnBmjdujVNmzbVKf8t7y/cD5g3adLkN6XWEEKIP4uCN/V/6SKEEEIIIf5eJIew+MswNTXl66+/ZvDgwajVaiIjI3n33Xd1DnAbOHAgXbt2pX///vzzn/9k6NChzJs374nOy8nJiVWrVhEbG4uDgwPp6elMnz5dJ4euj48PcXFxxMTE0L17d1avXk1iYiLOzs6/yxxCQkIoLy9nzJgxOuXt2rVj37593Lt3Dzc3N+zt7Zk2bRrNmzd/okFyT09PGjVqpBPw7tu3LwkJCcTFxeHg4MCOHTt00gVU0mg0aDQajhw5woYNG9BoNAwePFi5HxkZyauvvkpkZCTdunUjJCQEd3d3Vq9erdQpLi7m9OnTyvXOnTvJz88nIyOD9u3b07ZtW+UFUFpaSkZGhl5AeOXKlRQXF+Ps7KzT5tNPP63Tepw9e5arV68q1z/++KPynIWFhcTExKDRaHR2GyclJel8qfCwBg0akJKSwu3bt3nxxRcJDQ3V23EL8MYbb6DRaIiKiqKkpEQZ9/Dhw8D9QO/mzZs5fvw4/fr14x//+Ac//vgj6enpOmlFTp8+TXFxsXJ9+PBhpS+AGTNmoNFoeOONN4D7+ZgHDx6sszP9888/58qVK3z88cc669m7d+86rWdd399KGzduZMSIETp5xoUQQgghhBBCiL8albam31AL8RcSHBzM9evX+fLLL+t7KowdO5ZTp06xd+/eP2S8BQsW8J///Ifjx4//IePVxvvvv09aWhrbt2+v76k8UnJyMpGRkXppLupTVFQUe/bs+VPkIa5Kjx49iIyMxN/fv76nAsDVq1exsbHh8OHDdco5XpMbN25gZmZGcXExpqamv0ufQgghhBBCCCFEdWr7d6ikjBDiDxATE8OgQYMwNjZm27ZtrFu3jhUrVjzxcUtKSigoKGD58uUsXLjwiY9XF+PHj+f69evcvHmTZs2a1fd0amRiYlLlwXv1adu2bSxfvry+p/GblJeX88orr+js3q9vBQUFrFix4ncLBgshhBBCCCGEEE8r2SEs/jbqc4ewv78/WVlZ3Lx5k86dOzNlyhQmTJjwxMcNDg5m48aN+Pj4sGHDhieWE1gIoU92CAshhBBCCCGE+CPV9u9QySEs/jaSkpLqLV3EZ599xuXLl7l9+zYnTpz4Q4LBcP+Zy8rK+PTTT+stGOzs7My0adNqrKNSqZ6KVB5/lIfXxMrKiqVLlz52v6dPn8bCwoKbN29WWycpKYnmzZs/9lh/Rf/61794991363saQgghhBBCCCHEEyUBYSFEvSssLHyq0gf80Q4dOsS4ceMeu5+IiAimTJlSpxQchYWFBAYGolaradCgQbXB+6VLl2JjY4OhoSGWlpZMnz6dO3fuVNtvQUEBISEhdOrUCUNDQ6ytrYmKiqK8vFyv7p49e7C0tARgyZIl9O7dm2bNmtG6dWt8fHx0DoiD++lGrK2tMTQ0xNzcnGHDhnHq1Kkan/PEiRO88sorWFlZoVKpqgzAR0ZGsmjRIp3D8SrNmzfvT5uvWQghhBBCCCGEeJDkEBZC1DsLC4v6nkK9Mjc3f+w+Lly4wJYtW4iPj69Tu7KyMszNzYmMjOS9996rss6GDRuYPXs2a9euxdHRkTNnzhAcHIxKpSI2NrbKNqdOnaKiooLVq1fTpUsXcnNzGTt2LKWlpcTExOjUTU1NxdvbG7gfHJ40aRK9e/fm7t27zJkzBzc3N06ePImxsTEAL7zwAiNGjKBDhw4UFRUxb9483NzcOHfuXLU74W/dukXnzp0ZPnw406dPr7LOc889h7W1NR9//DGTJk3i119/ZdmyZUydOlWpc/nyZVJSUhg/fnzNCyuEEE8pq9lb63sKf3oFb3rV9xSEEEIIIR6L7BAWQtTo888/x97eHkNDQ1q2bImrqyulpaXA/RzFPj4+REdHY25ujqmpKRMmTNDbBVpRUcHMmTNp0aIFFhYWzJs3T+f+gykjCgoKUKlUJCcn4+LigpGREQ4ODhw4cECnTUJCApaWlhgZGeHr60tsbKxeKoSVK1dibW2NgYEBNjY2fPTRR3rjrl69miFDhmBkZISdnR0HDhwgPz8fZ2dnjI2NcXR05OzZs8rcGjRowOHDh3X6Wbp0KR07dqSiogKA3NxcPD09MTExoU2bNowcOZKrV69Wu8YPp4xQqVSsWbMGX19fjIyM6Nq1K2lpadW2h/tpSRwcHHj22Wd1ypOSkujQoYOyTr/88ove2HFxcQQFBWFmZlZl3/v378fJyYnAwECsrKxwc3MjICCAb775ptr5eHh4kJiYiJubG507d2bo0KGEh4eTnJysVzctLY2hQ4cCkJ6eTnBwMN27d8fBwYGkpCQuXLjAkSNHlPrjxo2jf//+WFlZ0bNnTxYuXMjFixcpKCiodj69e/fmnXfe4V//+hdNmjSptp63tzebNm0C7r8PAAMGDODEiROkpKTg7e1N+/btq20vhBBCCCGEEEI87SQgLISoVmFhIQEBAYwZM4a8vDyysrLw8/PjwbMoMzIylHsbN24kOTmZ6OhonX7WrVuHsbEx2dnZvP3228yfP5+dO3fWOPbcuXMJDw8nJycHtVpNQEAAd+/eBWDfvn1MmDCBsLAwcnJyGDRoEIsWLdJpn5KSQlhYGK+++iq5ubmMHz+e0aNHk5mZqVNvwYIFBAUFkZOTg62tLYGBgYwfP56IiAgOHz6MVqtl8uTJwP3gqaurK4mJiTp9JCYmEhwcTIMGDbh+/ToDBgxAo9Fw+PBh0tPT+fnnn/H396/T2kdHR+Pv78/x48cZPHgwI0aMoKioqNr6e/fupVevXjpl2dnZhISEMHnyZHJycnBxcWHhwoV1mgeAo6MjR44cUQLAP/zwA1999RWDBw9W6iQlJSkB1OoUFxfTokULnbITJ05w+fJlBgwYUG0bQK9dpdLSUhITE+nUqZOSdgLuv1cPf/FQGy+++CLffPMNZWVlNGrUiFdffZVly5bx1VdfsWPHDnbs2IGXl+wME0IIIYQQQgjx5yUBYSFEtQoLC7l79y5+fn5YWVlhb2/PxIkTMTExUeoYGBiwdu1aunfvjpeXF/Pnz2fZsmXKblmAHj16EBUVRdeuXQkKCqJXr15kZGTUOHZ4eDheXl6o1Wqio6M5f/48+fn5AMTHx+Pp6Ul4eDhqtZqJEyfq5SCOiYkhODiYiRMnolarmTFjBn5+fnrpCkaPHo2/vz9qtZpZs2ZRUFDAiBEjcHd3x87OjrCwMJ3csaGhoWzcuJGysjIAjh49ynfffcfo0aMBWL58ORqNhsWLF2Nra4tGo2Ht2rVkZmZy5syZWq99cHAwAQEBdOnShcWLF1NSUlLjjtzz58/Trl07nbK4uDg8PDyYOXMmarWaqVOn4u7uXus5VAoMDGT+/Pm89NJLNG7cGGtra5ydnZkzZ45Sx8zMDBsbm2r7yM/PJz4+Xi/VQmpqKu7u7hgYGOi1qaioYNq0aTg5OfHcc8/p3FuxYgUmJiaYmJiwbds2du7cqdOHtbU1rVq1qvOztmvXjvLycn766Sfu3btHXFwcU6dOZfDgwbi5ueHh4UF6enqVbcvKyrhx44bOSwghhBBCCCGEeNpIQFgIUS0HBwcGDhyIvb09w4cPJyEhgWvXrunVMTIyUq779etHSUkJFy9eVMp69Oih06Zt27Zcvny5xrEfbNO2bVsApc3p06d58cUXdeo/fJ2Xl4eTk5NOmZOTE3l5edWO06ZNGwDs7e11yu7cuaME93x8fGjYsCEpKSnA/Z2xLi4uWFlZAfDtt9+SmZmpBCtNTEywtbUFUFJP1MaD8zI2NsbU1LTGNbt9+zZNmzbVKcvLy6NPnz46Zf369av1HCplZWWxePFiVqxYwdGjR0lOTmbr1q0sWLBAqePr61vtwW6XLl3Cw8OD4cOHM3bsWJ17qampSrqIh02aNInc3FwlhcODRowYwbFjx9izZw9qtRp/f3+dQ+4yMjKUnd11YWhoCNzPOVxRUcGvv/5KRkYG3bt3x9fXly+//LLa1BRLlizBzMxMeT24Y1kIIYQQQgghhHhaSEBYCFGthg0bsnPnTrZt20a3bt2Ij4/HxsaGc+fO1amfxo0b61yrVCqdHcSPalOZiuBRbX6LqsapaWwDAwOCgoJITEykvLycDRs2MGbMGKV+SUkJ3t7e5OTk6Ly+//57+vfv/5vmVTmPmp6/VatWesH638vrr7/OyJEjCQ0Nxd7eHl9fXxYvXsySJUse+Z78+OOPuLi44OjoyAcffKBzr7CwkGPHjlWZgmHy5Mls2bKFzMzMKnP2mpmZ0bVrV/r378/nn3/OqVOnlCD946hMy2Fubk7jxo0JDw/X2Xncpk0bJkyYUGXbiIgIiouLldeDX4oIIYQQQgghhBBPCwkICyFqpFKpcHJyIjo6mmPHjmFgYKATePv222+5ffu2cn3w4EFMTEye6O5IGxsbDh06pFP28LWdnR379u3TKdu3bx/dunV77PFDQ0PZtWsXK1asUFJqVOrZsycnTpzAysqKLl266LyMjY0fe+zqaDQaTp48qVNmZ2dHdna2TtnBgwfr3PetW7do0ED3fxcNGzYE0Mkn/bBLly7h7OzMCy+8QGJiol4fmzdvxtHRUSc/cGXO5pSUFHbv3k2nTp0eOT+tVotWq1XSeDyO3Nxc2rdvr5duYt68eTg7O9fYtkmTJpiamuq8hBBCCCGEEEKIp02j+p6AEOLplZ2dTUZGBm5ubrRu3Zrs7GyuXLmCnZ2dUqe8vJyQkBAiIyMpKCggKiqKyZMn6wX/fk9Tpkyhf//+xMbG4u3tze7du9m2bZvOoWavvfYa/v7+aDQaXF1d2bx5M8nJyezateuxx7ezs6Nv377MmjWLMWPGKGkG4H6ag4SEBAICApg5cyYtWrQgPz+fTZs2sWbNGiWQ+ntzd3cnNDSUe/fuKWNMnToVJycnYmJiGDZsGNu3b68y/21OTg5wf3fzlStXyMnJwcDAQAmee3t7Exsbi0ajoU+fPuTn5/P666/j7e2tjJWSkkJERISSNqIyGNyxY0diYmK4cuWKMp6FhQUAaWlpeukiJk2axIYNG0hNTaVZs2b89NNPwP0dwYaGhvzwww98+umnuLm5YW5uzv/+9z/efPNNDA0NdQ65GzhwIL6+vkraiPLyciVgXl5ezqVLl8jJycHExIQuXboo7fbu3Yubm9tvfBeEEOLpV/CmHIwphBBCCPF3JzuEhRDVMjU15euvv2bw4MGo1WoiIyN59913dQ5wGzhwoPLT/X/+858MHTqUefPmPdF5OTk5sWrVKmJjY3FwcCA9PZ3p06fr5ND18fEhLi6OmJgYunfvzurVq0lMTHzkLs/aCgkJoby8XCddBNw/lGzfvn3cu3cPNzc37O3tmTZtGs2bN3+iQXJPT08aNWqkE/Du27cvCQkJxMXF4eDgwI4dO4iMjNRrq9Fo0Gg0HDlyhA0bNqDRaHSCq5GRkbz66qtERkbSrVs3QkJCcHd3Z/Xq1Uqd4uJiTp8+rVzv3LmT/Px8MjIyaN++PW3btlVeAKWlpWRkZOgFhFeuXElxcTHOzs46bT799FMAmjZtyt69exk8eDBdunThn//8J82aNWP//v20bt1a6efs2bNcvXpVuf7xxx+V5ywsLCQmJgaNRkNoaKhS586dO3z55Zd6eY6FEEIIIYQQQoi/EpW2pt/7CiFEDYKDg7l+/TpffvllfU+FsWPHcurUKfbu3fuHjLdgwQL+85//cPz48T9kvNp4//33SUtLY/v27fU9lUdKTk4mMjJSL81FfVq5ciUpKSns2LHjd+nvxo0bmJmZUVxcLOkjhBBCCCGEEEI8cbX9O1RSRggh/pRiYmIYNGgQxsbGbNu2jXXr1rFixYonPm5JSQkFBQUsX76chQsXPvHx6mL8+PFcv36dmzdv0qxZs/qeTo1MTEx466236nsaOho3bkx8fHx9T0MIIYQQQgghhHiiZIewEOI3q88dwv7+/mRlZXHz5k06d+7MlClTmDBhwhMfNzg4mI0bN+Lj48OGDRueWE5g8ecnO4SFEEIIIYQQQvyRavt3qOQQ/pNzdnZm2rRpNdZRqVRPxU/6/ygPr4mVlRVLly597H5Pnz6NhYUFN2/erLZOUlISzZs3f+yx/iySkpKe6GeroKAAlUqlHHr2oM8++4zLly9z+/ZtTpw48YcEg+H+M5eVlfHpp5/+KYPBwcHB+Pj41Pc0njrl5eVYWVlx+PDh+p6KEEIIIYQQQgjxRElA+G+gsLBQ5xCwv5tDhw4xbty4x+4nIiKCKVOm1Omn+IWFhQQGBqJWq2nQoEG1wfulS5diY2ODoaEhlpaWTJ8+nTt37lTbb0FBASEhIXTq1AlDQ0Osra2JioqivLxcr+6ePXuwtLQEYMmSJfTu3ZtmzZrRunVrfHx8dA4Cg/tpB6ytrTE0NMTc3Jxhw4Zx6tSpRz7rf/7zH2xtbWnatCn29vZ89dVXj2zzW0ydOpUXXniBJk2a8Pzzz1dZZ/v27fTt25dmzZphbm7OK6+8QkFBQY39Jicn4+bmRsuWLasNQlfq1KkTu3btIisri2HDhtG2bVuMjY15/vnn+eSTT/T67dWrF82bN1fqfPTRR7/Lc/4evv76a7y9vWnXrl21Xx6pVKoqX++88061/db2sw8QHR3Nv//9b4qKipgyZYryb6FDhw5MnTqV4uLiKtv98ssvtG/fHpVKxfXr12t8zke9vwYGBoSHhzNr1qwq2/9ehxEKIYQQQgghhBD1TXII/w1YWFjU9xTqlbm5+WP3ceHCBbZs2VLn/KJlZWWYm5sTGRnJe++9V2WdDRs2MHv2bNauXYujoyNnzpwhODgYlUpFbGxslW1OnTpFRUUFq1evpkuXLuTm5jJ27FhKS0uJiYnRqZuamoq3tzdwPzg8adIkevfuzd27d5kzZw5ubm6cPHkSY2NjAF544QVGjBhBhw4dKCoqYt68ebi5uXHu3Llqd8Tu37+fgIAAlixZwpAhQ9iwYQM+Pj4cPXqU5557rk5rVhtjxowhOzu7ygPdzp07x7Bhw5gxYwaffPIJxcXFTJ8+HT8/P44ePVptn6Wlpbz00kv4+/szduzYausdP36ca9eu8fLLL/POO+/Qo0cPZs2aRZs2bdiyZQtBQUGYmZkxZMgQAFq0aMHcuXOxtbXFwMCALVu2MHr0aFq3bo27u/tvfs7fS2lpKQ4ODowZMwY/P78q6xQWFupcb9u2jZCQEF555ZVq+63NZ79Samoqs2fP5scff+THH38kJiaGbt26cf78eSZMmMCPP/7I559/rtcuJCSEHj16cOnSpVo956Pe3xEjRvDqq69y4sQJunfvzpkzZzh69Cj/+te/lDpHjx7lxx9/VN5fIYT4s7GavbW+pyAeUvCmV31PQQghhBB/M7JDuJ59/vnn2NvbY2hoSMuWLXF1daW0tBT4/3/aHR0djbm5OaampkyYMEFvF2hFRQUzZ86kRYsWWFhYMG/ePJ37D+76q/wJfnJyMi4uLhgZGeHg4MCBAwd02iQkJGBpaYmRkRG+vr7ExsbqpUJYuXIl1tbWGBgYYGNjo7frUaVSsXr1aoYMGYKRkRF2dnYcOHCA/Px8nJ2dMTY2xtHRkbNnzypza9Cggd5PtpcuXUrHjh2pqKgAIDc3F09PT0xMTGjTpg0jR47k6tWr1a7xwykjVCoVa9aswdfXFyMjI7p27UpaWlq17eF+egIHBweeffZZnfKkpCQ6dOigrNMvv/yiN3ZcXJwSJKzK/v37cXJyIjAwECsrK9zc3AgICOCbb76pdj4eHh4kJibi5uZG586dGTp0KOHh4SQnJ+vVTUtLY+jQoQCkp6cTHBxM9+7dcXBwICkpiQsXLnDkyBGl/rhx4+jfvz9WVlb07NmThQsXcvHixRp32MbFxeHh4cFrr72GnZ0dCxYsoGfPnixfvrzaNlX55ptv0Gg0NG3alF69enHs2DG9OsuWLWPSpEl07ty5yj6OHDnCvXv3WLhwIdbW1vTs2ZPw8HBycnL49ddfqx175MiRvPHGG7i6utY4x9TUVDw8PGjcuDFz5sxhwYIFODo6Ym1tTVhYGB4eHjrvg7OzM76+vtjZ2Sl1evTowX//+98ax3nUc9bGvXv3mDFjBs2bN6dly5bMnDmTh9PGe3p6snDhQnx9favtx8LCQueVmpqKi4tLjXOrzWcf4OLFi5w4cQIPDw+ee+45vvjiC7y9vbG2tmbAgAEsWrSIzZs3c/fuXZ12K1eu5Pr164SHh9dqLWrz/j7zzDM4OTmxadMmAFq1akVmZib+/v5cv36dN954g4iIiMd6T4QQQgghhBBCiPomAeF6VFhYSEBAAGPGjCEvL4+srCz8/Px0AjYZGRnKvY0bN5KcnEx0dLROP+vWrcPY2Jjs7Gzefvtt5s+fz86dO2sce+7cuUqQTK1WExAQoARc9u3bx4QJEwgLCyMnJ4dBgwaxaNEinfYpKSmEhYXx6quvkpuby/jx4xk9ejSZmZk69RYsWEBQUBA5OTnY2toSGBjI+PHjiYiI4PDhw2i1WiZPngzcDyC5urqSmJio00diYiLBwcE0aNCA69evM2DAADQaDYcPHyY9PZ2ff/4Zf3//Oq19dHQ0/v7+HD9+nMGDBzNixAiKioqqrb9371569eqlU5adnU1ISAiTJ08mJycHFxcXFi5cWKd5ADg6OnLkyBElAPzDDz/w1VdfMXjwYKVOUlISKpWqxn6Ki4tp0aKFTtmJEye4fPkyAwYMqLYNoNeuUmlpKYmJiXTq1ElJOwH336sHv3g4cOCAXqDN3d1d74uGmpSUlDBkyBC6devGkSNHmDdvXq2DfQ964YUXaNCgAYmJidy7d4/i4mI++ugjXF1dady4MfD/fzGSlZVV5/7T0tIYNmxYtfereh8qabVaMjIyOH36NP3791fK582bh5WVVZ3n8ijvvvsuSUlJrF27lv/+978UFRWRkpLyWH3+/PPPbN26lZCQEJ1yZ2dngoOD69xfWloazs7O1Sa7r0yE36jR//+DlpMnTzJ//nzWr19Pgwb6/xt7nPf3xRdfZO/evcD9fxerV6/G1dWVb7/9lrNnz7J9+3a6detWZduysjJu3Lih8xJCCCGEEEIIIZ42EhCuR4WFhdy9exc/Pz+srKywt7dn4sSJmJiYKHUMDAxYu3Yt3bt3x8vLi/nz57Ns2TJltyxAjx49iIqKomvXrgQFBdGrVy8yMjJqHDs8PBwvLy/UajXR0dGcP3+e/Px8AOLj4/H09CQ8PBy1Ws3EiRP1chDHxMQQHBzMxIkTUavVzJgxAz8/P710BaNHj8bf3x+1Ws2sWbMoKChgxIgRuLu7Y2dnR1hYmE7QJjQ0lI0bN1JWVgbc/3n2d999x+jRowFYvnw5Go2GxYsXY2tri0ajYe3atWRmZnLmzJlar31wcDABAQF06dKFxYsXU1JSUuOO3PPnz9OuXTudsspdsTNnzkStVjN16tRHpgCoSmBgIPPnz+ell16icePGWFtb4+zszJw5c5Q6ZmZm2NjYVNtHfn4+8fHxjB8/Xqc8NTUVd3d3DAwM9NpUVFQwbdo0nJyc9NI6rFixAhMTE0xMTNi2bRs7d+7U6cPa2ppWrVop1z/99BNt2rTR6aNNmzb89NNPtVsE7qfOqKio4MMPP6R79+4MGTKE1157rdbtK3Xq1IkdO3YwZ84cmjRpQvPmzfnf//7HZ599ptRp3LgxNjY2GBkZ1anvS5cucfz48Wpzcn/22WccOnRI+bxWKi4uxsTEBAMDA7y8vIiPj2fQoEHK/VatWmFtbV2nudTG0qVLiYiIwM/PDzs7O1atWlXjbt3aWLduHc2aNdNLL9GhQwfatm1b5/5SU1OVHewPu3r1KgsWLNDJAV5WVkZAQADvvPMOHTp0qLLdb31/Adq1a8f58+cBuHbtGhMnTmTXrl04ODhgbW2Np6enXt7tSkuWLMHMzEx5PfglihBCCCGEEEII8bSQgHA9cnBwYODAgdjb2zN8+HASEhK4du2aXp0Hgxr9+vWjpKSEixcvKmU9evTQadO2bVsuX75c49gPtqkM4lS2OX36NC+++KJO/Yev8/LycHJy0ilzcnIiLy+v2nEqA4b29vY6ZXfu3FF20vn4+NCwYUNlF2NSUhIuLi7K7slvv/2WzMxMJVhpYmKCra0tgJJ6ojYenJexsTGmpqY1rtnt27dp2rSpTlleXh59+vTRKevXr1+t51ApKyuLxYsXs2LFCo4ePUpycjJbt25lwYIFSh1fX99qD3a7dOkSHh4eDB8+XC83ak3BtkmTJpGbm6v8PP5BI0aM4NixY+zZswe1Wo2/v7/OIXcZGRnKzu7fS15eHj169NBZ59+ynj/99BNjx45l1KhRHDp0iD179mBgYMD//d//Kbvvn332WU6dOqX3uX6UtLQ0XnrpJb30KQCZmZmMHj2ahIQEunfvrnOvWbNm5OTkcOjQIRYtWsSMGTN0vgiZPHnyI7/Eqavi4mIKCwt1PqONGjXS2+leV2vXrmXEiBF6/x7Wr1/PkiVL6tTXjRs32LNnT5Wf0Rs3buDl5UW3bt10dqNHRERgZ2fHv//972r7/a3vL4ChoSG3bt0C7v838R//+AefffYZzZs3Z/78+SxatKjaL58iIiIoLi5WXg/+d1oIIYQQQgghhHhayKFy9ahhw4bs3LmT/fv3s2PHDuLj45k7dy7Z2dl06tSp1v1U/gy+kkql0tlB/Kg2lakIHtXmt6hqnJrGNjAwICgoiMTERPz8/NiwYQNxcXFK/ZKSEry9vXnrrbf0xqrL7sS6rlmrVq30gvW/l9dff52RI0cSGhoK3A+Yl5aWMm7cOObOnVvlT+Ir/fjjj7i4uODo6MgHH3ygc6+wsJBjx47h5aV/UMnkyZPZsmULX3/9Ne3bt9e7X7nDsWvXrvTt25dnnnmGlJQUAgICqpyHhYUFP//8s07Zzz//XC8HGr7//vuYmZnx9ttvK2Uff/wxlpaWZGdn07dv39/c94P5mB+0Z88evL29ee+99wgKCtK736BBA7p06QLA888/T15eHkuWLMHZ2fk3z6U+7N27l9OnT/Ppp5/+Lv1t27aNbt266e2kvXnzJh4eHjRr1oyUlBSdf6+7d+/mu+++Uw6Zqwzyt2rVirlz5+ql1KmroqIi5SBKGxsbvZ35PXv2pGfPnlW2bdKkCU2aNHms8YUQQgghhBBCiCdNdgjXM5VKhZOTE9HR0Rw7dgwDAwOdHJ/ffvstt2/fVq4PHjyIiYnJE/0pso2NDYcOHdIpe/jazs6Offv26ZTt27ev2tyadREaGsquXbtYsWKFklKjUs+ePTlx4gRWVlZ06dJF52VsbPzYY1dHo9Fw8uRJnTI7Ozuys7N1yg4ePFjnvm/duqUX9G3YsCGA3gFgD7p06RLOzs688MILJCYm6vWxefNmHB0ddfLZVuZsTklJYffu3bX64kGr1aLVapU0HlXp16+f3g7XnTt31mmHr52dHcePH9fZifx7r+fjfOlRUlJCZmamXv7grKwsvLy8eOutt3RSG9SkoqKixvX8PZiZmdG2bVudz+jdu3d1DhCsqw8//JAXXngBBweH32OKpKam6q3njRs3cHNzw8DAgLS0NL2dyF988QXffvstOTk55OTksGbNGuB+sHrSpEmPPafc3Fw0Go1e+W/JRyyEEEIIIYQQQjyNZIdwPcrOziYjIwM3Nzdat25NdnY2V65cwc7OTqlTXl5OSEgIkZGRFBQUEBUVxeTJk2vcNfq4pkyZQv/+/YmNjcXb25vdu3ezbds2nUPNXnvtNfz9/dFoNLi6urJ582aSk5PZtWvXY49vZ2dH3759mTVrFmPGjMHQ0FC5N2nSJBISEggICGDmzJm0aNGC/Px8Nm3axJo1a5TA3+/N3d2d0NBQ7t27p4wxdepUnJyciImJYdiwYWzfvp309HS9tjk5OcD9gOKVK1fIycnBwMBACZ57e3sTGxuLRqOhT58+5Ofn8/rrr+Pt7a2MlZKSQkREhJI2ojIY3LFjR2JiYrhy5YoyXuWu3Kp2s06aNIkNGzaQmppKs2bNlBy/ZmZmGBoa8sMPP/Dpp5/i5uaGubk5//vf/3jzzTcxNDTUOeRu4MCB+Pr6KmkjwsLCePnll3n33Xfx8vJi06ZNHD58WG/Xck0CAwOZO3cuY8eOJSIigoKCAr2c1HA/X3JJSQk//fQTt2/fVta3W7duSo7e9957j/nz5xMQEMDNmzeZM2cOHTt2VAJ9ly5dYuDAgaxfv15JK1BUVMSFCxf48ccfAZQ8sRYWFlhYWJCeno5ardY5/C0zM5MhQ4YQFhbGK6+8oqyngYGBEohfsmQJvXr1wtramrKyMr766is++ugjVq5cqfSzfPlyUlJSdILqj3rO2ggLC+PNN9+ka9eu2NraEhsby/Xr13XqlJSUKPnDAc6dO0dOTg4tWrTQydF748YN/vOf//Duu+9WOVZQUBDPPvusTtqImj77d+/eZdu2bToHB1YGg2/dusXHH3+sczCbubk5DRs21Mu1fPXqVeD+fzcqU3n8lve30t69e3XStQghxF9NwZv6vxwSQgghhBB/M1pRb06ePKl1d3fXmpuba5s0aaJVq9Xa+Ph45f6oUaO0w4YN077xxhvali1bak1MTLRjx47V3rlzR6nz8ssva8PCwnT6HTZsmHbUqFHKNaBNSUnRarVa7blz57SA9tixY8r9a9euaQFtZmamUvbBBx9on332Wa2hoaHWx8dHu3DhQq2FhYXOOCtWrNB27txZ27hxY61ardauX79e5/6D41Y3dmZmphbQXrt2Tafthx9+qAW033zzjd66nTlzRuvr66tt3ry51tDQUGtra6udNm2atqKioso16dixo/a9996rdl5arVZrZmamTUxM1Bur0q+//qpt166dNj09XW+e7du31xoaGmq9vb21MTExWjMzM711ePjVsWNHnb7nzZuntba21jZt2lRraWmpnThxos6aJCYmah/851p5XdVLq9VqS0pKtE2bNtV+//33j5wLoDz7pUuXtJ6entrWrVtrGzdurG3fvr02MDBQe+rUKZ1+OnbsqI2KitIp++yzz7RqtVprYGCg7d69u3br1q0696OionSeuyoHDhzQOjg4aA0MDLTPP/+89osvvtD7zLz88stVPsO5c+eUOhs3btRqNBqtsbGx1tzcXDt06FBtXl6ecr/ys/jgZ766Na18zn//+9/auXPn6sx31KhRVbZ5+eWXlTpz587VdunSRdu0aVPtM888o+3Xr59206ZNj1yb2jzng+9dVX799VdtWFiY1tTUVNu8eXPtjBkztEFBQdphw4YpdSr/DT78evC/IVqtVrt69WqtoaGh9vr161WO9fLLL+u1qemzv2vXLm379u116lc3l4efu6o2D/57+S3vr1ar1e7fv1/bvHlz7a1bt6ocq66Ki4u1gLa4uPh36U8IIYQQQgghhKhJbf8OVWm1NfwmXdSr4OBgrl+/zpdfflnfU2Hs2LGcOnWKvXv3/iHjLViwgP/85z8cP378DxmvNt5//33S0tLYvn17fU/lkZKTk4mMjNRLc1GfRo0ahUqlIikpqb6nUmd3796lTZs2bNu27TcdVPYknDt3DrVazcmTJ+natWt9T6fOpk6dyt27d1mxYkV9T0Xxz3/+EwcHB+bMmfO79Hfjxg3MzMwoLi7G1NT0d+lTCCGEEEIIIYSoTm3/DpWUEaJKMTExDBo0CGNjY7Zt28a6dev+kMBNSUkJBQUFLF++nIULFz7x8epi/PjxXL9+nZs3b9KsWbP6nk6NTExMqjx4r75otVqysrL473//W99T+U2KioqYPn06vXv3ru+pKL766ivGjRv3pwwGAzz33HN1yjH9pJWXl2Nvb8/06dPreypCCCGEEEIIIcQTJTuEn2L1uUPY39+frKwsbt68SefOnZkyZQoTJkx44uMGBwezceNGfHx82LBhwxPLCSyEEE+a7BAWQgghhBBCCPFHqu3foU/uZDLx2JKSkuotXcRnn33G5cuXuX37NidOnPhDgsFw/5nLysr49NNP6yUY7OzszLRp02qso1Kpnoo0Hn+Uh9fEysqKpUuXPna/p0+fxsLCgps3b1ZbJykpSTkoTPw+/m6f39patWoV3t7e9T0NIYQQQgghhBDiiZOAsBB1VFhYiKenZ31Po94cOnSIcePGPXY/ERERTJkypU7pNwoLCwkMDEStVtOgQYNqg/dLly7FxsYGQ0NDLC0tmT59Onfu3Km234KCAkJCQujUqROGhoZYW1sTFRVFeXm5Xt09e/ZgaWkJwJIlS+jduzfNmjWjdevW+Pj4cPr0aZ36H3zwAc7OzpiamqJSqbh+/XqtnjUrK4uePXvSpEkTunTp8sRyLy9atAhHR0eMjIxqDL4nJSXRo0cPmjZtSuvWrZk0aVKN/dZmbSp16tSJXbt2kZWVxbBhw2jbti3GxsY8//zzfPLJJzp1k5OT6dWrF82bN1fqfPTRR498zgsXLuDl5YWRkRGtW7fmtdde4+7du8r9MWPGcPTo0SrzpGdlZTFv3rxHjiGEEEIIIYQQQvwZSA5hIerIwsKivqdQr8zNzR+7jwsXLrBlyxbi4+Pr1K6srAxzc3MiIyN57733qqyzYcMGZs+ezdq1a3F0dOTMmTMEBwejUqmIjY2tss2pU6eoqKhg9erVdOnShdzcXMaOHUtpaSkxMTE6dVNTU5WdpHv27GHSpEn07t2bu3fvMmfOHNzc3Dh58iTGxsYA3Lp1Cw8PDzw8PIiIiKjVc547dw4vLy8mTJjAJ598QkZGBqGhobRt2xZ3d/faLletlJeXM3z4cPr168eHH35YZZ3Y2Fjeffdd3nnnHfr06UNpaSkFBQU19lubtQE4fvw4165d4+WXX+add96hR48ezJo1izZt2rBlyxaCgoIwMzNjyJAhALRo0YK5c+dia2uLgYEBW7ZsYfTo0bRu3bratbl37x5eXl5YWFiwf/9+CgsLCQoKonHjxixevBgAAwMDAgMDWbZsGf/4xz+A+7uG/fz8dNYqPj6eqVOn0rhx41qvsRBCPE2sZm+t7ymIP5mCN73qewpCCCGE+J3JDmHxl/L5559jb2+PoaEhLVu2xNXVldLSUuB+fmIfHx+io6MxNzfH1NSUCRMm6O0CraioYObMmbRo0QILCwu9nYEP/uS+oKAAlUpFcnIyLi4uGBkZ4eDgwIEDB3TaJCQkYGlpiZGREb6+vsTGxurtxly5ciXW1tYYGBhgY2Ojt+tRpVKxevVqhgwZgpGREXZ2dhw4cID8/HycnZ0xNjbG0dGRs2fPKnNr0KABhw8f1uln6dKldOzYkYqKCgByc3Px9PTExMSENm3aMHLkSK5evVrtGj+cMkKlUrFmzRp8fX0xMjKia9eupKWlVdse7qckcXBw4Nlnn9UpT0pKokOHDso6/fLLL3pjx8XFKUHCquzfvx8nJycCAwOxsrLCzc2NgIAAvvnmm2rn4+HhQWJiIm5ubnTu3JmhQ4cSHh5OcnKyXt20tDSGDh0KQHp6OsHBwXTv3h0HBweSkpK4cOECR44cUepPmzaN2bNn07dv3xrX5EGrVq2iU6dOvPvuu9jZ2TF58mT+7//+r9ogeHW+//57+vfvT9OmTenWrRs7d+7UqxMdHc306dOxt7evso9r164RGRnJ+vXrCQwMxNramh49eihrUJ3arA3cD7B7eHjQuHFj5syZw4IFC3B0dMTa2pqwsDA8PDx03gdnZ2d8fX2xs7NT6vTo0aPGAwt37NjByZMn+fjjj3n++efx9PRkwYIFvP/++zr//r29vUlLS+P27dsAWFpaMnToUFJSUjhx4gQDBgwA7n/mhRBCCCGEEEKIPysJCIu/jMLCQgICAhgzZgx5eXlkZWXh5+fHg+cmZmRkKPc2btxIcnIy0dHROv2sW7cOY2NjsrOzefvtt5k/f36VgbQHzZ07l/DwcHJyclCr1QQEBCg/R9+3bx8TJkwgLCyMnJwcBg0axKJFi3Tap6SkEBYWxquvvkpubi7jx49n9OjRZGZm6tRbsGABQUFB5OTkYGtrS2BgIOPHjyciIoLDhw+j1WqZPHkycD946urqSmJiok4fiYmJBAcH06BBA65fv86AAQPQaDQcPnyY9PR0fv75Z/z9/eu09tHR0fj7+3P8+HEGDx7MiBEjKCoqqrb+3r176dWrl05ZdnY2ISEhTJ48mZycHFxcXFi4cGGd5gHg6OjIkSNHlADwDz/8wFdffcXgwYOVOklJSY8M6hUXF9OiRQudshMnTnD58mUlMFhVG0Cv3aM4OzsTHBysXB84cABXV1edOu7u7npfNNSkoqICPz8/DAwMyM7OZtWqVcyaNatO8wLYuXMnFRUVXLp0CTs7O9q3b4+/vz8XL17UqadSqWpMa1Hd2qSlpTFs2LAa21W3nlqtloyMDE6fPk3//v2V8nnz5mFlZaVcHzhwAHt7e9q0aaOUubu7c+PGDU6cOKGU9erVi7t375KdnQ2Al5cX27dvZ8eOHXz11VfEx8fz6quv0qhR1T+uKSsr48aNGzovIYQQQgghhBDiaSMBYfGXUVhYyN27d/Hz88PKygp7e3smTpyIiYmJUsfAwIC1a9fSvXt3vLy8mD9/PsuWLVN2ywL06NGDqKgounbtSlBQEL169SIjI6PGscPDw/Hy8kKtVhMdHc358+fJz88HID4+Hk9PT8LDw1Gr1UycOFEvB3FMTAzBwcFMnDgRtVrNjBkz8PPz00tXMHr0aPz9/VGr1cyaNYuCggJGjBiBu7s7dnZ2hIWFkZWVpdQPDQ1l48aNlJWVAXD06FG+++47Ro8eDcDy5cvRaDQsXrwYW1tbNBoNa9euJTMzkzNnztR67YODgwkICKBLly4sXryYkpKSGnfknj9/nnbt2umUxcXF4eHhwcyZM1Gr1UydOvU3pUcIDAxk/vz5vPTSSzRu3Bhra2ucnZ2ZM2eOUsfMzAwbG5tq+8jPzyc+Pp7x48frlKempuLu7o6BgYFem4qKCqZNm4aTkxPPPfdcnebcoUMH2rZtq1z/9NNPOsFLgDZt2nDjxg1l9+qj7Nq1i1OnTrF+/XocHBzo37+/kh6hLn744QcqKipYvHgxS5cu5fPPP6eoqIhBgwbp7K61sbGpdtd2dWtz6dIljh8/Xm1O7s8++4xDhw4pn9dKxcXFmJiYYGBggJeXF/Hx8QwaNEi536pVK6ytrZXr6taz8l4lIyMjzMzMOH/+PHB/l7OHhwdubm4MHjyYqVOnEhcXx71796qc75IlSzAzM1NelbmmhRBCCCGEEEKIp4kEhMVfhoODAwMHDsTe3p7hw4eTkJDAtWvX9OoYGRkp1/369aOkpERnt2OPHj102rRt25bLly/XOPaDbSoDe5VtTp8+zYsvvqhT/+HrvLw8nJycdMqcnJzIy8urdpzKgNaDP/Vv06YNd+7cUXYm+vj40LBhQ1JSUoD7O2NdXFyU3ZPffvstmZmZmJiYKC9bW1sAJfVEbTw4L2NjY0xNTWtcs9u3b9O0aVOdsry8PPr06aNT1q9fv1rPoVJWVhaLFy9mxYoVHD16lOTkZLZu3cqCBQuUOr6+vpw6darK9pcuXcLDw4Phw4czduxYnXupqanVpkqYNGkSubm5bNq0qc5zXr9+PUuWLKlzu5rk5eVhaWmpE3j/LetZUVHBr7/+yrJly3B3d6dv375s3LiR77//XmcH+6lTp/D19a2yj+rWJi0tjZdeeqnKw+wyMzMZPXo0CQkJdO/eXedes2bNyMnJ4dChQyxatIgZM2bofBEyefLkR36JUx1DQ0Nu3boF3M/lnJqaiq+vL927dycjI4Nff/1V5wukB0VERFBcXKy8Ht5FLYQQQgghhBBCPA3kUDnxl9GwYUN27tzJ/v372bFjB/Hx8cydO5fs7Gw6depU634ePixKpVJVGwCqqk1lKoJHtfktqhqnprENDAwICgoiMTERPz8/NmzYQFxcnFK/pKQEb29v3nrrLb2xHtyxWpd5Vc6jpudv1aqVXrD+9/L6668zcuRIQkNDgfsB89LSUsaNG8fcuXNp0KD678F+/PFHXFxccHR05IMPPtC5V1hYyLFjx/Dy0j9YZfLkyWzZsoWvv/6a9u3bP/YzWFhY8PPPP+uU/fzzz5iammJoaPjY/ddF5eegW7duSpm5uTmtWrXiwoULj2xf09o8mI/5QXv27MHb25v33nuPoKAgvfsNGjSgS5cuADz//PPk5eWxZMkSnJ2dq5yDhYWF3o71yvV9+JDIoqIi5eDE//f//h8AJ0+eBO7/ewoPD6/2WZs0aUKTJk2qvS+EEEIIIYQQQjwNZIew+EtRqVQ4OTkRHR3NsWPHMDAwUHbHwv0dsQ/+5P7gwYOYmJg80Z9229jYcOjQIZ2yh6/t7OzYt2+fTtm+fft0gnC/VWhoKLt27WLFihVKSo1KPXv25MSJE1hZWdGlSxedl7Gx8WOPXR2NRqME2SrZ2dkpuVsrHTx4sM5937p1Sy/o27BhQwCdfNIPu3TpEs7OzrzwwgskJibq9bF582YcHR118tlW5mxOSUlh9+7ddfrioSb9+vXT2+G6c+fOOu3wtbOz4+LFixQWFiplv2U9K3eunz59WikrKiri6tWrdOzYsdp2j1qbkpISMjMz9fIHZ2Vl4eXlxVtvvcW4ceNqNceKigolLUpV+vXrx3fffaeza33nzp2Ymprq/Bs7e/Ysd+7cQaPR6LR3dnbWO1xSCCGEEEIIIYT4s5IdwuIvIzs7m4yMDNzc3GjdujXZ2dlcuXIFOzs7pU55eTkhISFERkZSUFBAVFQUkydPrnHX6OOaMmUK/fv3JzY2Fm9vb3bv3s22bdt0DjV77bXX8Pf3R6PR4OrqyubNm0lOTmbXrl2PPb6dnR19+/Zl1qxZjBkzRmeH6aRJk0hISCAgIICZM2fSokUL8vPz2bRpE2vWrFECqb83d3d3QkNDuXfvnjLG1KlTcXJyIiYmhmHDhrF9+3bS09P12ubk5AD3A4pXrlwhJycHAwMDJbDn7e1NbGwsGo2GPn36kJ+fz+uvv463t7cyVkpKChEREUraiMpgcMeOHYmJieHKlSvKeJU7SKvazTpp0iQ2bNhAamoqzZo1U/LRmpmZKev8008/8dNPPyk5pb/77juaNWtGhw4dlOByUFAQzz77rJI2YsKECSxfvpyZM2cyZswYdu/ezWeffcbWrVtrvcaurq6o1WpGjRrFO++8w40bN5g7d65evQsXLlBUVMSFCxe4d++esr5dunTBxMQEtVrNsGHDCAsL44MPPsDU1JSIiAhsbW1xcXFR+rG1tWXJkiVK2ohHrU16ejpqtVrn8LfMzEyGDBlCWFgYr7zyitLGwMBAWaslS5bQq1cvrK2tKSsr46uvvuKjjz5i5cqVSj/Lly8nJSVFCaq7ubnRrVs3Ro4cydtvv81PP/1EZGQkkyZN0tnRu3fvXjp37qyTf1gIIf5qCt7U/6WLEEIIIYT4m9EK8Rdx8uRJrbu7u9bc3FzbpEkTrVqt1sbHxyv3R40apR02bJj2jTfe0LZs2VJrYmKiHTt2rPbOnTtKnZdfflkbFham0++wYcO0o0aNUq4BbUpKilar1WrPnTunBbTHjh1T7l+7dk0LaDMzM5WyDz74QPvss89qDQ0NtT4+PtqFCxdqLSwsdMZZsWKFtnPnztrGjRtr1Wq1dv369Tr3Hxy3urEzMzO1gPbatWs6bT/88EMtoP3mm2/01u3MmTNaX19fbfPmzbWGhoZaW1tb7bRp07QVFRVVrknHjh217733XrXz0mq1WjMzM21iYqLeWJV+/fVXbbt27bTp6el682zfvr3W0NBQ6+3trY2JidGamZnprcPDr44dO+r0PW/ePK21tbW2adOmWktLS+3EiRN11iQxMVH74H/+Kq+remm1Wm1JSYm2adOm2u+///6RcwF0nj0qKuqRdV5++WWdz5hWe/+9fP7557UGBgbazp07663nw89QldOnT2tfeuklrYGBgVatVmvT09P13q9Ro0ZVOb8HP7/FxcXaMWPGaJs3b65t0aKF1tfXV3vhwgW9tXhwjo9am3//+9/auXPn6vRR3Vxefvllpc7cuXO1Xbp00TZt2lT7zDPPaPv166fdtGmTTj9RUVE6nwmtVqstKCjQenp6ag0NDbWtWrXSvvrqq9pff/1Vp46bm5t2yZIlNa5pXRQXF2sBbXFx8e/WpxBCCCGEEEIIUZ3a/h2q0mpr+A21EH8hwcHBXL9+nS+//LK+p8LYsWM5deoUe/fu/UPGW7BgAf/5z384fvz4HzJebbz//vukpaWxffv2+p7KIyUnJxMZGamX5qI+RUVFsWfPHp3D1P4s7t69S5s2bdi2bZveAYv15cSJEwwYMIAzZ85gZmb2u/R548YNzMzMKC4uxtTU9HfpUwghhBBCCCGEqE5t/w6VlBFC/AFiYmIYNGgQxsbGbNu2jXXr1rFixYonPm5JSQkFBQUsX76chQsXPvHx6mL8+PFcv36dmzdv0qxZs/qeTo1MTEyqPHivPm3bto3ly5fX9zR+k6KiIqZPn07v3r3reyqKwsJC1q9f/7sFg4UQQgghhBBCiKeV7BAWfxv1uUPY39+frKwsbt68SefOnZkyZQoTJkx44uMGBwezceNGfHx82LBhwxPLCSyE0Cc7hIUQQgghhBBC/JFq+3fokztJS4inTFJSUr2li/jss8+4fPkyt2/f5sSJE39IMBjuP3NZWRmffvppvQSDnZ2dmTZtWo11VCrVU5HG44/y8JpYWVmxdOnSx+739OnTWFhYcPPmzWrrJCUl0bx588ce669o1apVeHt71/c0hBBCCCGEEEKIJ04CwkKIelVYWIinp2d9T6PeHDp0iHHjxj12PxEREUyZMqVO6TcKCwsJDAxErVbToEGDaoP3S5cuxcbGBkNDQywtLZk+fTp37typtt+CggJCQkLo1KkThoaGWFtbExUVRXl5uV7dPXv2YGlpCcDXX3+Nt7c37dq1q/aLgpKSEiZPnkz79u0xNDSkW7durFq1qsbnvHPnDsHBwdjb29OoUSN8fHz06owZM4ajR49Wmdc7KyuLefPm1TiGEEIIIYQQQgjxZyE5hIUQ9crCwqK+p1CvzM3NH7uPCxcusGXLFuLj4+vUrqysDHNzcyIjI3nvvfeqrLNhwwZmz57N2rVrcXR05MyZMwQHB6NSqYiNja2yzalTp6ioqGD16tV06dKF3Nxcxo4dS2lpKTExMTp1U1NTlZ25paWlODg4MGbMGPz8/Krse8aMGezevZuPP/4YKysrduzYwcSJE2nXrh1Dhw6tss29e/cwNDRk6tSpfPHFF1XWMTAwIDAwkGXLlvGPf/wDuL9r+MF5lJeXEx8fz9SpU2ncuHGV/QghxNPOavbW+p6CEH+Ygje96nsKQgghxFNJdggLIar1+eefY29vj6GhIS1btsTV1ZXS0lLgfn5iHx8foqOjMTc3x9TUlAkTJujtAq2oqGDmzJm0aNECCwsLvZ2WD+4ELSgoQKVSkZycjIuLC0ZGRjg4OHDgwAGdNgkJCVhaWmJkZISvry+xsbF6qRBWrlyJtbU1BgYG2NjY8NFHH+mNu3r1aoYMGYKRkRF2dnYcOHCA/Px8nJ2dMTY2xtHRkbNnzypza9CgAYcPH9bpZ+nSpXTs2JGKigoAcnNz8fT0xMTEhDZt2jBy5EiuXr1a7Ro/nDJCpVKxZs0afH19MTIyomvXrqSlpVXbHu6nJHFwcODZZ5/VKU9KSqJDhw7KOv3yyy96Y8fFxREUFFTtYWr79+/HycmJwMBArKyscHNzIyAggG+++aba+Xh4eJCYmIibmxudO3dm6NChhIeHk5ycrFc3LS1NCeR6enqycOFCfH19q+17//79jBo1CmdnZ6ysrBg3bhwODg41zsfY2JiVK1cyduzYGr+A8Pb2Ji0tjdu3bwNgaWnJ0KFDSUlJ4cSJEwwYMAC4/x4JIYQQQgghhBB/VhIQFkJUqbCwkICAAMaMGUNeXh5ZWVn4+fnx4DmUGRkZyr2NGzeSnJxMdHS0Tj/r1q3D2NiY7Oxs3n77bebPn8/OnTtrHHvu3LmEh4eTk5ODWq0mICCAu3fvArBv3z4mTJhAWFgYOTk5DBo0iEWLFum0T0lJISwsjFdffZXc3FzGjx/P6NGjyczM1Km3YMECgoKCyMnJwdbWlsDAQMaPH09ERASHDx9Gq9UyefJk4H7w1NXVlcTERJ0+EhMTCQ4OpkGDBly/fp0BAwag0Wg4fPgw6enp/Pzzz/j7+9dp7aOjo/H39+f48eMMHjyYESNGUFRUVG39vXv30qtXL52y7OxsQkJCmDx5Mjk5Obi4uLBw4cI6zQPA0dGRI0eOKAHXH374ga+++orBgwcrdZKSkh4ZJC0uLqZFixY6ZSdOnODy5ctKoLW280lLS+PSpUtotVoyMzM5c+YMbm5uSp3g4GCcnZ1r3WelXr16cffuXbKzswHw8vJi+/bt7Nixg6+++or4+HheffVVGjWq+sc1ZWVl3LhxQ+clhBBCCCGEEEI8bSQgLISoUmFhIXfv3sXPzw8rKyvs7e2ZOHEiJiYmSh0DAwPWrl1L9+7d8fLyYv78+SxbtkzZLQvQo0cPoqKi6Nq1K0FBQfTq1YuMjIwaxw4PD8fLywu1Wk10dDTnz58nPz8fgPj4eDw9PQkPD0etVjNx4kS9HMQxMTEEBwczceJE1Go1M2bMwM/PTy9dwejRo/H390etVjNr1iwKCgoYMWIE7u7u2NnZERYWRlZWllI/NDSUjRs3UlZWBsDRo0f57rvvGD16NADLly9Ho9GwePFibG1t0Wg0rF27Vgla1lZwcDABAQF06dKFxYsXU1JSUuMO2PPnz9OuXTudsri4ODw8PJg5cyZqtZqpU6fi7u5e6zlUCgwMZP78+bz00ks0btwYa2trnJ2dmTNnjlLHzMwMGxubavvIz88nPj6e8ePH65Snpqbi7u6OgYFBrecTHx9Pt27daN++PQYGBnh4ePD+++/Tv39/pU7btm3p0KFDHZ7yPiMjI8zMzDh//jwA6enpeHh44ObmxuDBg5k6dSpxcXHcu3evyvZLlizBzMxMeVXmRhZCCCGEEEIIIZ4mEhAWQlTJwcGBgQMHYm9vz/Dhw0lISODatWt6dYyMjJTrfv36UVJSwsWLF5WyHj166LRp27Ytly9frnHsB9u0bdsWQGlz+vRpXnzxRZ36D1/n5eXh5OSkU+bk5EReXl6147Rp0wYAe3t7nbI7d+4oOz19fHxo2LAhKSkpwP2dsS4uLlhZWQHw7bffkpmZiYmJifKytbUFUFJP1MaD8zI2NsbU1LTGNbt9+zZNmzbVKcvLy6NPnz46Zf369av1HCplZWWxePFiVqxYwdGjR0lOTmbr1q0sWLBAqePr68upU6eqbH/p0iU8PDwYPnw4Y8eO1bmXmppabd7f6sTHx3Pw4EHS0tI4cuQI7777LpMmTWLXrl1KnSVLlrB+/fo69VvJ0NCQW7duAXDu3DlSU1Px9fWle/fuZGRk8Ouvv+p84fGgiIgIiouLldeD/w6EEEIIIYQQQoinhRwqJ4SoUsOGDdm5cyf79+9nx44dxMfHM3fuXLKzs+nUqVOt+3n48C2VSlVtQK2qNpWpCB7V5reoapyaxjYwMCAoKIjExET8/PzYsGEDcXFxSv2SkhK8vb1566239MaqDGzXdV6V86jp+Vu1aqUXrP+9vP7664wcOZLQ0FDgfsC8tLSUcePGMXfuXBo0qP57xR9//BEXFxccHR354IMPdO4VFhZy7NgxvLxqf9jL7du3mTNnDikpKUq7Hj16kJOTQ0xMDK6urr/hCXUVFRUpB/39v//3/wA4efIkcP/9Dw8Pr7ZtkyZNaNKkyWPPQQghhBBCCCGEeJJkh7AQoloqlQonJyeio6M5duwYBgYGyu5YuL8jtvIALoCDBw9iYmLyRH8qb2Njw6FDh3TKHr62s7Nj3759OmX79u2jW7dujz1+aGgou3btYsWKFUpKjUo9e/bkxIkTWFlZ0aVLF52XsbHxY49dHY1GowQtK9nZ2Sm5cCsdPHiwzn3funVLL+jbsGFDAJ180g+7dOkSzs7OvPDCCyQmJur1sXnzZhwdHfXyCtfk119/5ddff61yPr/HFwZnz57lzp07aDQanXJnZ2e9wxCFEEIIIYQQQog/K9khLISoUnZ2NhkZGbi5udG6dWuys7O5cuUKdnZ2Sp3y8nJCQkKIjIykoKCAqKgoJk+eXOOu0cc1ZcoU+vfvT2xsLN7e3uzevZtt27bpHGr22muv4e/vj0ajwdXVlc2bN5OcnKyTVuC3srOzo2/fvsyaNYsxY8ZgaGio3Js0aRIJCQkEBAQwc+ZMWrRoQX5+Pps2bWLNmjVKIPX35u7uTmhoKPfu3VPGmDp1Kk5OTsTExDBs2DC2b99Oenq6XtucnBzg/u7mK1eukJOTg4GBgRI89/b2JjY2Fo1GQ58+fcjPz+f111/H29tbGSslJYWIiAglbURlMLhjx47ExMRw5coVZTwLCwsA0tLS9NJFlJSUKLmi4X7KhpycHFq0aEGHDh0wNTXl5Zdf5rXXXsPQ0JCOHTuyZ88e1q9fT2xsrNIuIiKCS5cu6aSNOHnyJOXl5RQVFXHz5k3luZ9//nmlzt69e+ncuTPW1tZ1Wn8hhPgzKXiz9r/MEEIIIYQQf00SEBZCVMnU1JSvv/6apUuXcuPGDTp27Mi7776rc4DbwIED6dq1K/3796esrIyAgIAnvpPSycmJVatWER0dTWRkJO7u7kyfPp3ly5crdXx8fIiLiyMmJoawsDA6depEYmIizs7Ov8scQkJC2L9/P2PGjNEpb9euHfv27WPWrFm4ublRVlZGx44d8fDweKJBck9PTxo1asSuXbuUg+P69u1LQkICUVFRvPHGG7i6uhIZGamT+xfQ2Q175MgRNmzYQMeOHSkoKAAgMjISlUpFZGQkly5dwtzcHG9vbxYtWqS0Ky4u5vTp08r1zp07yc/PJz8/n/bt2+uMp9VqKS0tJSMjg6VLl+rcO3z4MC4uLsr1jBkzABg1ahRJSUkAbNq0iYiICEaMGEFRUREdO3Zk0aJFTJgwQWlXWFjIhQsXdPoePHiwcljcg8/94C7njRs36uU5FkIIIYQQQggh/mpU2pp+8yuEENUIDg7m+vXrfPnll/U9FcaOHcupU6fYu3fvHzLeggUL+M9//sPx48f/kPFq4/333yctLY3t27fX91QeKTk5mcjISL00F/XpxIkTDBgwgDNnzmBmZva79Hnjxg3MzMwoLi7G1NT0d+lTCCGEEEIIIYSoTm3/DpUdwkKIP52YmBgGDRqEsbEx27ZtY926daxYseKJj1tSUkJBQQHLly9n4cKFT3y8uhg/fjzXr1/n5s2bNGvWrL6nUyMTE5MqD96rT4WFhaxfv/53CwYLIYQQQgghhBBPKwkICyH+dL755hvefvttbt68SefOnVm2bBmhoaFPfNzJkyezceNGfHx89NJF1LdGjRoxd+7c+p5Grbi5udX3FPS4urrW9xSEEEIIIYQQQog/xJNLainEn5CzszPTpk2rsY5KpXoq0iT8UR5eEysrK5YuXUpSUtJjrcPp06exsLDg5s2b1dZJSkqiefPmeuWfffYZly9f5vbt25w4cUInf+yTlJSURFlZGZ9++ukTOyDuSat8/4S+vn378sUXX9T3NIQQQgghhBBCiCdKAsJC1FFhYaHOwWp/N4cOHWLcuHGP3U9ERARTpkypU3qDwsJCAgMDUavVNGjQoNrg/dKlS7GxscHQ0BBLS0umT5/OnTt3qu23oKCAkJAQOnXqhKGhIdbW1kRFRVFeXq5Xd8+ePVhaWgLw9ddf4+3tTbt27Wr8oiAvL4+hQ4diZmaGsbExvXv31jv07GHHjx/nH//4B02bNsXS0pK33367xvq/1QcffICzszOmpqaoVCquX7+uV+fMmTMMGzaMVq1aYWpqyksvvURmZmaN/Z44cYJXXnkFKysrVCpVjUHo0aNHExkZCcCiRYtwdHTEyMioyi8DKiUlJdGjRw+aNm1K69atmTRpUo3zqc17FRkZyezZs6moqNC7FxwcrBy0J4QQQgghhBBC/JlJyggh6sjCwqK+p1CvzM3NH7uPCxcusGXLFuLj4+vUrqysDHNzcyIjI3nvvfeqrLNhwwZmz57N2rVrcXR05MyZMwQHB6NSqYiNja2yzalTp6ioqGD16tV06dKF3Nxcxo4dS2lpKTExMTp1U1NT8fb2BqC0tBQHBwfGjBmDn59flX2fPXuWl156iZCQEKKjozE1NeXEiRM0bdq02ue8ceMGbm5uuLq6smrVKr777jvGjBlD8+bNf5dg/INu3bqFh4cHHh4eREREVFlnyJAhdO3ald27d2NoaMjSpUsZMmQIZ8+erfbfw61bt+jcuTPDhw9n+vTp1Y5/7949tmzZwtatWwEoLy9n+PDh9OvXjw8//LDKNrGxsbz77ru888479OnTh9LS0kcGa2vzXnl6ehIaGsq2bdvw8vKiqKiIjRs3MnHiRKXO2bNnOXjwICNGjKhxPCGEeFpZzd5a31MQDyh406u+pyCEEEKIvyHZISz+Uj7//HPs7e0xNDSkZcuWuLq6UlpaCtzf4efj40N0dDTm5uaYmpoyYcIEvV2gFRUVzJw5kxYtWmBhYcG8efN07j+4u7CgoACVSkVycjIuLi4YGRnh4ODAgQMHdNokJCRgaWmJkZERvr6+xMbG6u1+XLlyJdbW1hgYGGBjY8NHH32kN+7q1asZMmQIRkZG2NnZceDAAfLz83F2dsbY2BhHR0fOnj2rzK1BgwYcPnxYp5+lS5fSsWNHZRdkbm4unp6emJiY0KZNG0aOHMnVq1erXeOHUw6oVCrWrFmDr68vRkZGdO3albS0tGrbw/2UDw4ODjz77LM65UlJSXTo0EFZp19++UVv7Li4OIKCgqo9/Gv//v04OTkRGBiIlZUVbm5uBAQE8M0331Q7Hw8PDxITE3Fzc6Nz584MHTqU8PBwkpOT9eqmpaUxdOhQ4H4AceHChfj6+lbb99y5cxk8eDBvv/02Go0Ga2trhg4dSuvWratt88knn1BeXs7atWvp3r07//rXv5g6dWq1Ae3qXL58GW9vbwwNDenUqROffPKJXp1p06Yxe/Zs+vbtW2UfV69e5fvvv2f27Nn06NGDrl278uabb3Lr1i1yc3OrHbt379688847/Otf/6JJkybV1tu/fz+NGzemd+/eAERHRzN9+nTs7e2rrH/t2jUiIyNZv349gYGBWFtb06NHD+U9qU5t3quGDRsyePBgNm3aBEDTpk25dOkSHh4e/O9//2PVqlUEBwfTqVOnGscSQgghhBBCCCGeZhIQFn8ZhYWFBAQEMGbMGPLy8sjKysLPzw+tVqvUycjIUO5t3LiR5ORkoqOjdfpZt24dxsbGZGdn8/bbbzN//nx27txZ49hz584lPDycnJwc1Go1AQEB3L17F4B9+/YxYcIEwsLCyMnJYdCgQSxatEinfUpKCmFhYbz66qvk5uYyfvx4Ro8erfez/AULFhAUFEROTg62trYEBgYyfvx4IiIiOHz4MFqtlsmTJwP3g6eurq4kJibq9JGYmEhwcDANGjTg+vXrDBgwAI1Gw+HDh0lPT+fnn3/G39+/TmsfHR2Nv78/x48fZ/DgwYwYMYKioqJq6+/du5devXrplGVnZxMSEsLkyZPJycnBxcWFhQsX1mkeAI6Ojhw5ckQJAP/www989dVXDB48WKmTlJSESqWqsZ/i4mJatGihU3bixAkuX77MgAEDajWXiooKtm7dilqtxt3dndatW9OnTx+9dAXBwcE4Ozsr1wcOHKB///4YGBgoZe7u7pw+fZpr167VauzKfi9evEhmZiaff/45K1as4PLly7VuD9CyZUtsbGxYv349paWl3L17l9WrV9O6dWteeOEFpZ6VlZXelye1kZaWhre39yPfj0o7d+6koqKCS5cuYWdnR/v27fH39+fixYs69VQqFUlJSXWez4svvsjevXsBMDIyYvHixYSFhZGVlcXBgwfZvXs3jo6OVbYtKyvjxo0bOi8hhBBCCCGEEOJpIwFh8ZdRWFjI3bt38fPzw8rKCnt7eyZOnIiJiYlSx8DAQNl16eXlxfz581m2bJlOztAePXoQFRVF165dCQoKolevXmRkZNQ4dnh4OF5eXqjVaqKjozl//jz5+fkAxMfH4+npSXh4OGq1mokTJ+rlII6JiSE4OJiJEyeiVquZMWMGfn5+eukKRo8ejb+/P2q1mlmzZlFQUMCIESNwd3fHzs5OCVxVCg0NZePGjZSVlQFw9OhRvvvuO0aPHg3A8uXL0Wg0LF68GFtbWzQaDWvXriUzM5MzZ87Ueu2Dg4MJCAigS5cuLF68mJKSkhp35J4/f5527drplMXFxeHh4cHMmTNRq9VMnToVd3f3Ws+hUmBgIPPnz+ell16icePGWFtb4+zszJw5c5Q6ZmZm2NjYVNtHfn4+8fHxjB8/Xqc8NTUVd3d3nUBtTS5fvkxJSQlvvvkmHh4e7NixA19fX/z8/NizZ49Sr23btnTo0EG5/umnn2jTpo1OX5XXP/30U63GPnPmDNu2bSMhIYG+ffvywgsv8OGHH3L79u1ata+kUqnYtWsXx44do1mzZjRt2pTY2FjS09N55plnlHrW1ta0atWqTn3D/TV91O7eB/3www9UVFSwePFili5dyueff05RURGDBg3S2e1vY2NT7S7ymrRr146LFy9SUVHBnTt3eOONN4iLi8PZ2Zm+ffvi6upa7Wd7yZIlmJmZKa/KXNNCCCGEEEIIIcTTRALC4i/DwcGBgQMHYm9vz/Dhw0lISNDbTeng4ICRkZFy3a9fP0pKSnR2F/bo0UOnTdu2bR+5q/LBNm3btgVQ2pw+fZoXX3xRp/7D13l5eTg5OemUOTk5kZeXV+04lQHCB39a36ZNG+7cuaPsTPTx8aFhw4akpKQA93fGuri4YGVlBcC3335LZmYmJiYmysvW1hZAST1RGw/Oy9jYGFNT0xrX7Pbt23o5dPPy8ujTp49OWb9+/Wo9h0pZWVksXryYFStWcPToUZKTk9m6dSsLFixQ6vj6+nLq1Kkq21emCBg+fDhjx47VuVfX4GXlFw3Dhg1j+vTpPP/888yePZshQ4awatUqpd6SJUtYv359XR7zkfLy8mjUqJHOLl5bW9saD2qrilarZdKkSbRu3Zq9e/fyzTff4OPjg7e3N4WFhUq9jIwMZXd6Xeb4448/MnDgwFq3qaio4Ndff2XZsmW4u7vTt29fNm7cyPfff6+zo/7UqVM1poeojqGhIRUVFZSVlXHr1i3atGlDeno67du3Z8KECaxdu7baL0siIiIoLi5WXg/vWhZCCCGEEEIIIZ4Gcqic+Mto2LAhO3fuZP/+/ezYsYP4+Hjmzp1LdnZ2nXJ+Nm7cWOdapVLp7CB+VJvKn74/qs1vUdU4NY1tYGBAUFAQiYmJ+Pn5sWHDBuLi4pT6JSUleHt789Zbb+mNVRnYruu8KudR0/O3atWqTqkP6uL1119n5MiRhIaGAvcD5qWlpYwbN465c+fSoEH134P9+OOPuLi44OjoyAcffKBzr7CwkGPHjuHlVfvDX1q1akWjRo3o1q2bTrmdnR3//e9/q21nYWHBzz//rFNWef1HH2q4e/dutmzZwrVr1zA1NQVgxYoV7Ny5k3Xr1jF79uzf3HdaWhqDBg2q8YC9h1V+Lh9cU3Nzc1q1asWFCxd+81wqFRUVYWxsjKGhIYaGhkyaNEnnvrW1NdbW1lW2bdKkSY35koUQQgghhBBCiKeB7BAWfykqlQonJyeio6M5duwYBgYGyu5YuL8j9sGfzB88eBATE5Mn+tNuGxsbDh06pFP28LWdnR379u3TKdu3b59eIPG3CA0NZdeuXaxYsUJJqVGpZ8+enDhxAisrK7p06aLzMjY2fuyxq6PRaDh58qROmZ2dHdnZ2TplBw8erHPft27d0gv6NmzYEEAnn/TDLl26hLOzMy+88AKJiYl6fWzevBlHR0e9vMI1MTAwoHfv3pw+fVqn/MyZM3Ts2LHadv369ePrr7/m119/Vcp27tyJjY2NTpqGmtja2nL37l2OHDmilJ0+fZrr16/Xev5wfz0BvfVo0KDBY3/pkZqayrBhw+rUpnIn/YNrWlRUxNWrV2tc09rKzc1Fo9HolSclJSk764UQQgghhBBCiD8z2SEs/jKys7PJyMjAzc2N1q1bk52dzZUrV7Czs1PqlJeXExISQmRkJAUFBURFRTF58uQad40+rilTptC/f39iY2Px9vZm9+7dbNu2TecQrddeew1/f380Gg2urq5s3ryZ5ORkdu3a9djj29nZ0bdvX2bNmsWYMWMwNDRU7k2aNImEhAQCAgKYOXMmLVq0ID8/n02bNrFmzRolkPp7c3d3JzQ0lHv37iljTJ06FScnJ2JiYhg2bBjbt28nPT1dr21OTg5wf3fzlStXyMnJwcDAQAmee3t7Exsbi0ajoU+fPuTn5/P666/j7e2tjJWSkkJERISSNqIyGNyxY0diYmK4cuWKMl7ljty0tDS9dBElJSVKrmiAc+fOkZOTQ4sWLZScwK+99hr//Oc/6d+/Py4uLqSnp7N582adXM8RERFcunRJSRsRGBhIdHQ0ISEhzJo1i9zcXOLi4njvvfdqvcY2NjZ4eHgwfvx4Vq5cSaNGjZg2bZrO+w/3cxL/9NNPynN89913NGvWjA4dOtCiRQv69evHM888w6hRo3jjjTcwNDQkISGBc+fO6eyWHjhwIL6+vkraiPLyciXoX15ezqVLl8jJycHExIQuXbpw+fJlDh8+TFpams58Lly4QFFRERcuXODevXvK+92lSxdMTExQq9UMGzaMsLAwPvjgA0xNTYmIiMDW1hYXFxelH1tbW5YsWaKkjajNewX3Dzx0c3Or9ToLIcSfTcGbtf+lixBCCCGE+IvSCvEXcfLkSa27u7vW3Nxc26RJE61ardbGx8cr90eNGqUdNmyY9o033tC2bNlSa2Jioh07dqz2zp07Sp2XX35ZGxYWptPvsGHDtKNGjVKuAW1KSopWq9Vqz507pwW0x44dU+5fu3ZNC2gzMzOVsg8++ED77LPPag0NDbU+Pj7ahQsXai0s/j/27jssimv/H/h7ERcWkKqAKEWBBTSI2ClRUKSISEnkBoywNOWHKGoUJKKIBdEQhGBQgwqaiGhyIWABCyXXWLAFDYoavKLGYAuCIh3O7w8f5jJsASzB5Htez7N/7Mxpc2ZWHz5z5jOarH5SUlLI8OHDSf/+/Qmfzyd79+5l7e/cr7i+i4qKCADy7NkzVt1du3YRAOT8+fNC83br1i3i7u5OlJWVCY/HI8bGxmTx4sWkvb1d5Jzo6uqSLVu2iB0XIYQoKSmRtLQ0ob46tLS0EC0tLZKfny80zqFDhxIej0dcXFxIfHw8UVJSEpqHrh9dXV1W22vWrCH6+vpEVlaWaGtrk5CQENacpKWlkc7//HV8F/UhhJC6ujoiKytLfvvtN9ZYOua766fz9dJxXAYGBkRWVpaYmZmRH3/8kbXf19eXTJkyhbXtypUrxNramsjIyJAhQ4aQuLg4kX3fuXNHzCwTUlVVRZydnYmMjAzR0dEhe/fuFTp/0dHRIo+h8/m7cOECsbe3J6qqqmTAgAFk0qRJ5OjRo6y+dHV1SXR0NPO94/rs+uk4zp07dxIrKyuhMfv6+oqs1/n3VFtbS/z9/YmysjJRVVUl7u7u5N69e6x2uh5DT87V77//Tvr370/u378vdk57o7a2lgAgtbW1b6U9iqIoiqIoiqIoipKkp3+HcgiR8Aw1Rf2DCAQC1NTU4Mcff+zroSAoKAg3btzAqVOn/pL+1q1bh++//x5Xr179S/rria+//hq5ubk4duxYXw+lW1lZWYiKihJKc9GX0tLSEBsbi+vXrwvlcP47mDVrFqytrREeHt7XQ2FERETg2bNnQvmjX9fz58+hpKSE2tpaJv8yRVEURVEURVEURb0rPf07lKaMoKi/QHx8PKZPnw55eXnk5eVhz549SElJeef91tXVobKyElu3bsX69evfeX+9MX/+fNTU1ODFixcYMGBAXw9HIgUFBZEv3utLR48eRWxs7N8yGAwA1tbW8PLy6uthsKirq2Pp0qV9PQyKoiiKoiiKoiiKeqfoS+UoqhMbGxssXrxYYhkOh9PrVcbnz5/H9OnTYWpqiu3bt+Orr75CYGDg6w+0h0JDQzF27FjY2NjA39//tdroOid6enpITEx847Hdvn0bycnJEsukp6dDWVn5jft6U/b29nBxcenrYbB8//33mD17dq/rvc71+y6Eh4e/05c59tbTp0+xadMm1ov8KIqiKIqiKIqiKOqfiAaEqf8z0tPT30ogrKqqCk5OTr2qc/DgQTx+/BgNDQ24du0agoOD33gcPZGeno6mpiYcOHDgrb0g7sKFC5g3b94btxMZGYmFCxf2anVwVVUVvL29wefzISUlJTZ4n5iYCCMjI/B4PGhra2PJkiVobGwU225lZSUCAgIwbNgw8Hg86OvrIzo6Gs3NzUJlf/rpJyaQ+Z///AcuLi7Q0tLqUaA1ODgYHA6nRwH14uJijBkzBjIyMjAwMEB6enq3dV7Hhg0bYGlpCTk5ObHB9wsXLmDatGlQVlaGiooKHBwccOXKFYnt9mZubG1tsXPnTgCvXi44duxYyMjIYPTo0RL7qKiowIABA3p00+Cbb76BjY0NFBUVweFwUFNTw9o/cOBA+Pj4IDo6WmR9GxubbvugKIqiKIqiKIqiqL8DmjKConpJU1Ozr4fQpwYNGvTGbdy7dw+HDx/udoVwV01NTRg0aBCioqKwZcsWkWUyMjKwYsUK7N69G5aWlrh16xYEAgE4HA4SEhJE1rlx4wba29uxY8cOGBgYoKysDEFBQXj58iXi4+NZZXNycpjVwi9fvoSZmRn8/f3h4eEhcezZ2dk4d+4ctLS0uj3OO3fuwNnZGcHBwdi3bx8KCgoQGBiIwYMHw8HBodv6vdHc3IzZs2fDwsICu3btEtpfV1cHR0dHzJo1CykpKWhtbUV0dDQcHBxw//59sSkrejo31dXVOH36NDIzM5lt/v7+KCkpkZjzuqWlBV5eXvjwww9x5syZbo+zvr4ejo6OcHR0RGRkpMgyfn5+GDt2LL744guoqqri9OnTaGhogJ2dHVPm5MmTkJOTg6WlZbd9UhRFvY/0Vhzp6yH8n1QZ59zXQ6AoiqIoimLQFcLUP8oPP/wAU1NT8Hg8qKmpwc7ODi9fvgTw6qVybm5uiImJwaBBg6CoqIjg4GChVaDt7e0IDw+HqqoqNDU1sWbNGtb+zqsdKysrweFwkJWVBVtbW8jJycHMzAxnz55l1UlNTYW2tjbk5OTg7u6OhIQEoVWN27Ztg76+PrhcLoyMjPDtt98K9btjxw7MnDkTcnJyMDExwdmzZ1FRUQEbGxvIy8vD0tISt2/fZsYmJSWFixcvstpJTEyErq4u2tvbAQBlZWVwcnKCgoICNDQ0MHfuXDx9+lTsHHdNGcHhcLBz5064u7tDTk4OhoaGyM3NFVsfeLVi2szMDEOGDGFtT09Ph46ODjNPf/75p1DfSUlJ8PHxgZKSksi2z5w5AysrK3h7e0NPTw/29vbw8vLC+fPnxY7H0dERaWlpsLe3x/DhwzFr1iwsW7YMWVlZQmVzc3Mxa9YsAICTkxPWr18Pd3d3icf74MEDLFy4EPv27etRzt/t27dj2LBh+PLLL2FiYoLQ0FB8/PHHYoPg4vz222+YPHkyZGVlMWLECJw4cUKoTExMDJYsWQJTU1ORbdy4cQPV1dVYu3YtjIyMMHLkSERHR+PRo0e4e/eu2L57OjdHjhzBmDFjoKGhAQD46quvsGDBAgwfPlxivaioKBgbG8PT01NiuQ6LFy/GihUrMGnSJLFlRo4cCS0tLWRnZwMAdHR0sGPHDoSEhODFixcICQnBN998816luqAoiqIoiqIoiqKo3qIBYeofo6qqCl5eXvD390d5eTmKi4vh4eEBQghTpqCggNm3f/9+ZGVlISYmhtXOnj17IC8vj5KSEmzevBlr164VGUjrbOXKlVi2bBlKS0vB5/Ph5eWF1tZWAMDp06cRHByMsLAwlJaWYvr06diwYQOrfnZ2NsLCwvDZZ5+hrKwM8+fPh5+fH4qKiljl1q1bBx8fH5SWlsLY2Bje3t6YP38+IiMjcfHiRRBCEBoaCuBV8NTOzg5paWmsNtLS0iAQCCAlJYWamhpMnToV5ubmuHjxIvLz8/Ho0aMeB9k6xMTEwNPTE1evXsWMGTMwZ84cVFdXiy1/6tQpjBs3jrWtpKQEAQEBCA0NRWlpKWxtbV/rRXiWlpa4dOkSEwD+73//i6NHj2LGjBlMmfT0dHA4HInt1NbWQlVVlbXt2rVrePz4MaZOndrj8bS3t2Pu3LlYvnw5Ro4cKbKMjY0NBAIB8/3s2bOsVakA4ODgIHSjobt+PTw8wOVyUVJSgu3btyMiIqLH9TsYGRlBTU0Nu3btQnNzMxoaGrBr1y6YmJhAT0+PKcfhcF4rrUVubi5cXV17VaewsBDff/89vv76a5H7i4uLweFwUFlZ2evxTJgwAadOnQIAaGtr4/vvv4eSkhIuX74MZWVlHDx4kAaEKYqiKIqiKIqiqL81GhCm/jGqqqrQ2toKDw8P6OnpwdTUFCEhIVBQUGDKcLlc7N69GyNHjoSzszPWrl2Lr776ilktCwCjRo1CdHQ0DA0N4ePjg3HjxqGgoEBi38uWLYOzszP4fD5iYmJw9+5dVFRUAACSk5Ph5OSEZcuWgc/nIyQkRCgHcXx8PAQCAUJCQsDn87F06VJ4eHgIpSvw8/ODp6cn+Hw+IiIiUFlZiTlz5sDBwQEmJiYICwtDcXExUz4wMBD79+9HU1MTAODy5cv49ddf4efnBwDYunUrzM3NERsbC2NjY5ibm2P37t0oKirCrVu3ejz3AoEAXl5eMDAwQGxsLOrq6iSuyL17965Q6oSkpCQ4OjoiPDwcfD4fixYteq30CN7e3li7di2sra3Rv39/6Ovrw8bGBp9//jlTRklJCUZGRmLbqKioQHJyMubPn8/anpOTAwcHB3C53B6PZ9OmTZCWlsaiRYvEltHR0cHgwYOZ7w8fPmRWzHbQ0NDA8+fP0dDQ0KN+T548iRs3bmDv3r0wMzPD5MmTERsb2+NxdxgwYACKi4vx3XffgcfjQUFBAfn5+cjLy4O09P+yDhkZGYldtS1OU1MT8vPzmRXXPfHnn39CIBAgPT0dioqKIsvIycnByMioR6uxu9LS0mJWPj948ACffPIJampqMGbMGDx79gyffPIJHjx4IPZ4nj9/zvpQFEVRFEVRFEVR1PuGBoSpfwwzMzNMmzYNpqammD17NlJTU/Hs2TOhMnJycsx3CwsL1NXV4f79+8y2UaNGseoMHjwYjx8/lth35zodgb2OOjdv3sSECRNY5bt+Ly8vh5WVFWublZUVysvLxfbTETDs/Ki/hoYGGhsbmUCUm5sb+vXrxzwCn56eDltbW2Zl55UrV1BUVAQFBQXmY2xsDABM6ome6DwueXl5KCoqSpyzhoYGyMrKsraVl5dj4sSJrG0WFhY9HkOH4uJixMbGIiUlBZcvX0ZWVhaOHDmCdevWMWXc3d1x48YNkfUfPHgAR0dHzJ49G0FBQax9OTk5vQpeXrp0CUlJSd2uSN67dy82btzY43Z7ory8HNra2qzA++vMZ0NDAwICAmBlZYVz587h9OnT+OCDD+Ds7MwKTt+4caPb9BBdFRYWQl1dXezKaVGCgoLg7e2NyZMniy0zYcIE3LhxQyglSU/weDzU19cDeJV2JTAwENu2bcOAAQOwbds2BAYGil15vHHjRigpKTEfupKYoiiKoiiKoiiKeh/RgDD1j9GvXz+cOHECeXl5GDFiBJKTk2FkZIQ7d+70qp2uqwo5HA5rBXF3dToCf93VeR2i+pHUN5fLhY+PD9LS0tDc3IyMjAz4+/sz5evq6uDi4oLS0lLWpyP37OuMq2Mcko5/4MCBQsH6t2XVqlWYO3cuAgMDYWpqCnd3d8TGxmLjxo3dnpM//vgDtra2sLS0xDfffMPaV1VVhV9++QXOzj1/KcypU6fw+PFj6OjoQFpaGtLS0rh79y4+++wzVrqFrjQ1NfHo0SPWtkePHkFRURE8Hq/H/b8NGRkZqKysRFpaGsaPH49JkyYhIyMDd+7cQU5Ozhu13Tkfc08VFhYiPj6emc+AgADU1tZCWloau3fvfqPxAK9ectfx4kQrKyuh1B12dnZCN286REZGora2lvl0vtFEURRFURRFURRFUe8L6e6LUNTfB4fDgZWVFaysrLB69Wro6uoiOzsbS5cuBfBqRWxDQwMTVDt37hwUFBTe6Uo+IyMjXLhwgbWt63cTExOcPn0avr6+zLbTp09jxIgRb9x/YGAgPvjgA6SkpDApNTqMGTMG//73v6Gnp8d6/P9dMzc3x/Xr11nbTExMUFJSwtp27ty5XrddX18PKSn2va5+/foBACufdFcPHjyAra0txo4di7S0NKE2Dh06BEtLS6G8wpLMnTtXZC7guXPnMmk7RLGwsMDRo0dZ206cONGrFb4mJia4f/8+qqqqmFXrbzKfnVc4d3x/k5sehBAcOnQI3333Xa/qnT17Fm1tbcz3nJwcbNq0CWfOnHmtFcFdlZWVwcbGRmh751Qs4sjIyEBGRuaNx0BRFEVRFEVRFEVR7xINCFP/GCUlJSgoKIC9vT3U1dVRUlKCJ0+ewMTEhCnT3NyMgIAAREVFobKyEtHR0QgNDRUK/r1NCxcuxOTJk5GQkAAXFxcUFhYiLy+PFWBbvnw5PD09YW5uDjs7Oxw6dAhZWVk4efLkG/dvYmKCSZMmISIiAv7+/qwVpgsWLEBqaiq8vLwQHh4OVVVVVFRUIDMzEzt37mQCqW+bg4MDAgMD0dbWxvSxaNEiWFlZIT4+Hq6urjh27Bjy8/OF6paWlgJ4tbr5yZMnKC0tBZfLZYLnLi4uSEhIgLm5OSZOnIiKigqsWrUKLi4uTF/Z2dmIjIxk0kY8ePAANjY20NXVRXx8PJ48ecL0p6mpCUD0ata6ujomVzQA3LlzB6WlpVBVVYWOjg7U1NSgpqbGqtO/f39oamqychj7+PhgyJAhTNqI4OBgbN26FeHh4fD390dhYSEOHjyII0eO9HiO7ezswOfz4evriy+++ALPnz/HypUrhcrdu3cP1dXVuHfvHtra2pj5NTAwgIKCAqZPn47ly5djwYIFWLhwIdrb2xEXFwdpaWnY2toy7RgbG2Pjxo1M2oju5ubSpUuor6+HtbU1azwVFRWoq6vDw4cP0dDQwIxnxIgR4HK5rN8zAFy8eBFSUlL44IMPmG3nz5+Hj48PCgoKmCDxw4cP8fDhQ2ZMv/76KwYMGAAdHR0myF9fX49Lly69Vq5liqKov4vKuJ4/6UJRFEVRFEX9QxGK+oe4fv06cXBwIIMGDSIyMjKEz+eT5ORkZr+vry9xdXUlq1evJmpqakRBQYEEBQWRxsZGpsyUKVNIWFgYq11XV1fi6+vLfAdAsrOzCSGE3LlzhwAgv/zyC7P/2bNnBAApKipitn3zzTdkyJAhhMfjETc3N7J+/XqiqanJ6iclJYUMHz6c9O/fn/D5fLJ3717W/s79iuu7qKiIACDPnj1j1d21axcBQM6fPy80b7du3SLu7u5EWVmZ8Hg8YmxsTBYvXkza29tFzomuri7ZsmWL2HERQoiSkhJJS0sT6qtDS0sL0dLSIvn5+ULjHDp0KOHxeMTFxYXEx8cTJSUloXno+tHV1WW1vWbNGqKvr09kZWWJtrY2CQkJYc1JWloa6fzPX8d3UR9CCKmrqyOysrLkt99+Y42lY767fjpfL111nT9CXs1x1zpFRUVk9OjRhMvlkuHDhwvNZ9djEOXmzZvE2tqacLlcwufzSX5+vtD58vX1FXkMna/f48ePEysrK6KkpERUVFTI1KlTydmzZ1l9AWCNsbu5iYqKInPmzBEa85QpU0TWu3PnjshjTEtLE7pGOvruXCc6Olpku53HnJGRQYyMjCRNaa/U1tYSAKS2tvattUlRFEVRFEVRFEVR4vT071AOIRKeoaaofxCBQICamhr8+OOPfT0UBAUF4caNGzh16tRf0t+6devw/fff4+rVq39Jfz3x9ddfIzc3F8eOHevroXQrKysLUVFRQmku+lJ0dDR++umnHqUyeB+NGjUKUVFR8PT07OuhMCZNmoRFixbB29v7rbT3/PlzKCkpoba2FoqKim+lTYqiKIqiKIqiKIoSp6d/h9KUERT1F4iPj8f06dMhLy+PvLw87NmzBykpKe+837q6OlRWVmLr1q1Yv379O++vN+bPn4+amhq8ePECAwYM6OvhSKSgoIBNmzb19TBY8vLysHXr1r4exmtpbm7GRx99BCcnp74eCuPp06fw8PCAl5dXXw+FoiiKoiiKoiiKot4pukKY+j+jL1cIe3p6ori4GC9evMDw4cOxcOFCBAcHv/N+BQIB9u/fDzc3N2RkZLyznMAURQmjK4QpiqIoiqIoiqKov1JP/w59d2/SEsPGxgaLFy+WWIbD4bwXj/X/VbrOiZ6eHhITE9+43Zs3b0JTUxMvXrwQWyY9PR3Kyspv3NffQXp6+l9yXYm6fg8ePIjHjx+joaEB165d+0uCwcCrY25qasKBAwf+tsFggUAANze3vh7GP8aaNWswevTovh7Ge2nSpEn497//3dfDoCiKoiiKoiiKoqh36i8PCPdEVVXVe/Uo8V/twoULmDdv3hu3ExkZiYULF/bqcfyqqip4e3uDz+dDSkpKbPA+MTERRkZG4PF40NbWxpIlS9DY2Cix7Q0bNsDS0hJycnISg9B3794Fj8dDXV0dUlNT8eGHH0JFRQUqKiqws7PD+fPnWeUFAgE4HA7r4+jo2O2xFhcXY8yYMZCRkYGBgQHS09O7rfM6enLcBQUFsLS0xIABA6CpqYmIiAi0trZ22/bXX38NPT09yMrKYuLEiUJz02HYsGE4efIkiouL4erqisGDB0NeXh6jR4/Gvn37xLafmZkJDofTo4DsokWLMHbsWMjIyLzTgOPGjRsxfvx4DBgwAOrq6nBzc8PNmzdZZRobG7FgwQKoqalBQUEBH330ER49eiSx3WvXruGjjz6Cnp4eOByOxJsyfn5+iIqKQmVlJQICAjBs2DDweDzo6+sjOjoazc3NTNmbN2/C1tYWGhoakJWVxfDhwxEVFYWWlhaJ43mdY3gdPTnuFy9eYPHixdDV1QWPx4OlpSUuXLjQbds9vSZ++uknaGtrA+jZ+e1ACIGTk1OPbyJ+//33MDY2hqysLExNTXH06FHW/qioKKxYsQLt7e1CdQUCASorK7vtg6IoiqIoiqIoiqLed+9lDmFNTc2+HkKfGjRo0Bu3ce/ePRw+fBjJycm9qtfU1IRBgwYhKioKW7ZsEVkmIyMDK1aswO7du2FpaYlbt24xQdmEhASxbTc3N2P27NmwsLDArl27xJbLycmBra0tFBQUUFxcDC8vL1haWkJWVhabNm2Cvb09rl27hiFDhjB1HB0dkZaWxnyXkZGReJx37tyBs7MzgoODsW/fPhQUFCAwMBCDBw+Gg4ODxLq91d1xX7lyBTNmzMDKlSuxd+9ePHjwAMHBwWhra0N8fLzYdg8cOIClS5di+/btmDhxIhITE+Hg4ICbN29CXV2dKXf16lU8e/YMU6ZMwRdffIFRo0YhIiICGhoaOHz4MHx8fKCkpISZM2ey2q+srMSyZcvw4Ycf9vhY/f39UVJS8k5fXvfTTz9hwYIFGD9+PFpbW/H555/D3t4e169fh7y8PABgyZIlOHLkCL7//nsoKSkhNDQUHh4eOH36tNh26+vrMXz4cMyePRtLliwRW66trQ2HDx/GkSNHcOPGDbS3t2PHjh0wMDBAWVkZgoKC8PLlS+bc9e/fHz4+PhgzZgyUlZVx5coVBAUFob29HbGxsWL7eZ1jeB09Oe7AwECUlZXh22+/hZaWFr777jvY2dnh+vXrrN+hKD25JnJycuDi4gKgZ+e3Q2JiIjgcTo+O88yZM/Dy8sLGjRsxc+ZMZGRkwM3NDZcvX8YHH3wAAHByckJgYCDy8vLg7OyM6upq7N+/HyEhIUw7t2/fxrlz5zBnzpwe9UtRFPW+0VtxpK+HQIlRGefc10OgKIqiKOr/iF6vEP7hhx9gamoKHo8HNTU12NnZ4eXLlwD+92h3TEwMBg0aBEVFRQQHB7NWywFAe3s7wsPDoaqqCk1NTaxZs4a1v/Nqr8rKSnA4HGRlZcHW1hZycnIwMzPD2bNnWXVSU1Ohra0NOTk5uLu7IyEhQWg15rZt26Cvrw8ulwsjIyN8++23Qv3u2LEDM2fOhJycHExMTHD27FlUVFTAxsYG8vLysLS0xO3bt5mxSUlJ4eLFi6x2EhMToaury6wyKysrg5OTExQUFKChoYG5c+fi6dOnYue4a8oIDoeDnTt3wt3dHXJycjA0NERubq7Y+sCrFAVmZmZCwZr09HTo6Ogw8/Tnn38K9Z2UlMQECUU5c+YMrKys4O3tDT09Pdjb28PLy0vs6tQOMTExWLJkCUxNTSWWy8nJwaxZswAA+/btQ0hICEaPHg1jY2Ps3LkT7e3tKCgoYNWRkZGBpqYm81FRUZHYx/bt2zFs2DB8+eWXMDExQWhoKD7++GOxQXBxfvvtN0yePBmysrIYMWIETpw40evjPnDgAEaNGoXVq1fDwMAAU6ZMwebNm/H1119LTPeRkJCAoKAg+Pn5YcSIEdi+fTvk5OSwe/duVrmcnBw4Ojqif//++Pzzz7Fu3TpYWlpCX18fYWFhcHR0RFZWFqtOW1sb5syZg5iYGAwfPrxHc/HVV19hwYIFPS4vSltbG5YuXQplZWWoqakhPDwcXdOc5+fnQyAQYOTIkTAzM0N6ejru3buHS5cuAQBqa2uxa9cuJCQkYOrUqRg7dizS0tJw5swZnDt3Tmzf48ePxxdffIFPPvlE4g2FM2fOoH///hg/fjxzI8Le3h7Dhw/HrFmzsGzZMtZ8Dh8+HH5+fjAzM4Ouri5mzZqFOXPm4NSpU2L7eN1jECUuLg4aGhoYMGAAAgIChFbyd3fcDQ0N+Pe//43Nmzdj8uTJMDAwwJo1a2BgYIBt27ZJ7Lun10Rubi7zm+/u/HYoLS3Fl19+KXS9i5OUlARHR0csX74cJiYmWLduHcaMGcN6MV+/fv0wY8YMZGZmAgBkZWXx4MEDODo64vfff8f27dshEAgwbNiwHvVJURRFURRFURRFUe+jXgWEq6qq4OXlBX9/f5SXl6O4uBgeHh6sgE1BQQGzb//+/cjKykJMTAyrnT179kBeXh4lJSXYvHkz1q5dKzKQ1tnKlSuxbNkylJaWgs/nw8vLi3mk/vTp0wgODkZYWBhKS0sxffp0bNiwgVU/OzsbYWFh+Oyzz1BWVob58+fDz88PRUVFrHLr1q2Dj48PSktLYWxsDG9vb8yfPx+RkZG4ePEiCCEIDQ0F8Cp4amdnx1qZCgBpaWkQCASQkpJCTU0Npk6dCnNzc1y8eBH5+fl49OgRPD09ezP1iImJgaenJ65evYoZM2Zgzpw5qK6uFlv+1KlTGDduHGtbSUkJAgICEBoaitLSUtja2mL9+vW9GgcAWFpa4tKlS0wA+L///S+OHj2KGTNmMGXS09N7vHKvs5qaGvz8889McKir+vp6tLS0QFVVlbW9uLgY6urqMDIywv/7f/9PKNBtY2MDgUDAfD979izs7OxYZRwcHIRuNEjS3t4ODw8PcLlclJSUYPv27YiIiOhx/Q5NTU2QlZVlbePxeGhsbGQFwTgcDpPWorm5GZcuXWIdg5SUFOzs7ISOITc3F66urmL7r62tFZrPtWvXQl1dHQEBASLrrFmzBnp6ej05vF758ssvkZ6ejt27d+Pnn39GdXU1srOzJdapra0FAOYYLl26hJaWFtbcGBsbQ0dHhzU3enp6QjejeiI3NxcuLi5ir29R89lZRUUF8vPzMWXKFGZbcXExOBwOk5Kgp8fQnYMHD2LNmjWIjY3FxYsXMXjwYKSkpPS4PgC0traira1N5DX6888/M99f95q4du0aHj9+jKlTp4rc3/X8Aq/+HfD29sbXX38t9omSrue3p7/5CRMmMMF6OTk5xMbGIiwsDMXFxTh37hwKCwthaWnZ6+OkKIqiKIqiKIqiqPdFrwPCra2t8PDwgJ6eHkxNTRESEgIFBQWmDJfLxe7duzFy5Eg4Oztj7dq1+Oqrr1g5GUeNGoXo6GgYGhrCx8cH48aNE1rx2dWyZcvg7OwMPp+PmJgY3L17FxUVFQCA5ORkODk5YdmyZeDz+QgJCRHKQRwfHw+BQICQkBDw+XwsXboUHh4eQo/k+/n5wdPTE3w+HxEREaisrMScOXPg4OAAExMTJjDQITAwEPv370dTUxMA4PLly/j111/h5+cHANi6dSvMzc0RGxsLY2NjmJubY/fu3SgqKsKtW7d6PPcCgQBeXl4wMDBAbGws6urqJK7IvXv3LrS0tFjbOlbIhYeHg8/nY9GiRa+VHsHb2xtr166FtbU1+vfvD319fdjY2ODzzz9nyigpKcHIyKjXbR89ehSjRo0SGnuHiIgIaGlpsQI7jo6O2Lt3LwoKCrBp0yb89NNPcHJyQltbG1NGR0cHgwcPZr4/fPgQGhoarLY1NDTw/PlzNDQ09GisJ0+exI0bN7B3716YmZlh8uTJElMAiOPg4IAzZ85g//79aGtrw4MHD7B27VoAr35zHYyMjJhV20+fPkVbW5vIY3j48CHz/cGDB7h69arYnNwHDx7EhQsXmOsVAH7++Wfs2rULqampYsc8cOBA6Ovr9/pYu5OYmIjIyEh4eHjAxMQE27dvF7tSHXgVlF+8eDGsrKyYx/4fPnwILpcr9IRA17nR19fHwIEDez3GzivYu6qoqEBycjLmz58vtK8j7YmhoSE+/PBD5hwDrwKPRkZG6N+/f6+OoTuJiYkICAhAQEAAjIyMsH79eowYMaLH9QFgwIABsLCwwLp16/DHH3+gra0N3333Hc6ePcu6Pl/3msjJyYGDgwO4XK7QPlHnF3iVTsPS0lLijY6u51fcb77rfGppaeH+/ftob29HY2MjVq9ejaSkJNjY2GDSpEki85h3aGpqwvPnz1kfiqIoiqIoiqIoinrf9CogbGZmhmnTpsHU1BSzZ89Gamoqnj17JlRGTk6O+W5hYYG6ujrcv3+f2TZq1ChWncGDB+Px48cS++5cpyOw11Hn5s2bmDBhAqt81+/l5eWwsrJibbOyskJ5ebnYfjqCB50f9dfQ0EBjYyPzh76bmxv69evHrGJMT0+Hra0ts1LuypUrKCoqgoKCAvMxNjYGACb1RE90Hpe8vDwUFRUlzllDQ4PQir7y8nJMnDiRtc3CwqLHY+hQXFyM2NhYpKSk4PLly8jKysKRI0ewbt06poy7uztu3LjR67YlBdvi4uKQmZmJ7Oxs1rF98sknmDVrFkxNTeHm5obDhw/jwoULrMD93r17sXHjxl6PR5Ly8nJoa2uzgtevM5/29vb44osvEBwcDBkZGfD5fGa1tZTU/36iN27cgLu7e6/azs3NhbW1tciX2RUVFcHPzw+pqakYOXIkgFcvD5s7dy5SU1MlBktDQ0O7vYnTW7W1taiqqmJdo9LS0kIr3TtbsGABysrKmEf8e6OgoIBZ7d9T5eXl+OOPPzBt2jShfR2pBWbPno2goCCh/QcOHMDly5eRkZGBI0eOsG5GTZgwATdu3Og2H29vva3f/LfffgtCCIYMGQIZGRl89dVX8PLyYl2fr3tNSPrNizq/ubm5KCwslPjSP+D1zi/wauVze3s7mpqaUF9fDw0NDeTn52Po0KEIDg7G7t27xd7M27hxI5SUlJhPx4vyKIqiKIqiKIqiKOp90quAcL9+/XDixAnk5eVhxIgRSE5OhpGREe7cudOrTjtWwXXgcDgi3+ourk7Ho9rd1XkdovqR1DeXy4WPjw/S0tLQ3NyMjIwM+Pv7M+Xr6urg4uKC0tJS1qcj9+zrjKtjHJKOf+DAgULB+rdl1apVmDt3LgIDA2Fqagp3d3fExsZi48aNb3ROmpubkZ+fLzI4FB8fj7i4OBw/flzohkJXw4cPx8CBA5kV5KJoamri0aNHrG2PHj2CoqIieDze6x3AG1i6dClqampw7949PH36lFn5KC736sCBA9GvXz+Rx9D5EfrOuVk7++mnn+Di4oItW7bAx8eH2X779m1UVlbCxcUF0tLSkJaWxt69e5Gbmwtpaele3cR410JDQ3H48GEUFRVh6NChzHZNTU00NzejpqaGVb7r3LyO3NxcTJ8+Xehmyx9//AFbW1tYWlrim2++EVlXW1sbI0aMgJeXF+Li4rBmzRrWKvbO3uUxvA59fX389NNPzM298+fPo6Wl5Y3yRQOvVsD/8ssvcHYWfomOuPNbWFiI27dvQ1lZmblGAeCjjz6CjY2N2L7E/ea7zmd1dTXk5eXB4/GgqqqKBQsWsNKD6Ovr49NPPxXZR2RkJGpra5lP5xuhFEVRFEVRFEVRFPW+6PVL5TgcDqysrBATE4NffvkFXC6XlePzypUrrEfuz507BwUFhXe6UsrIyAgXLlxgbev63cTEBKdPn2ZtO336dK8fnxYlMDAQJ0+eREpKCpNSo8OYMWNw7do16OnpwcDAgPWRl5d/477FMTc3x/Xr11nbTExMUFJSwtrW2xdUAa/yd3ZeGQi8ulkAQOgFYL1RXFwMFRUVmJmZsbZv3rwZ69atQ35+vsTVoh1+//13/Pnnn6wUEV1ZWFgIrWY8ceJEr1ZPmpiY4P79+6zH5l9nPjtwOBxoaWmBx+Nh//790NbWxpgxY0SW5XK5GDt2LOsYOl6213EMdXV1KCoqEnqsvri4GM7Ozti0aRPmzZvH2mdsbIxff/2VdfNi1qxZsLW1RWlp6Tv9HSspKWHw4MGsa7S1tVXoZWIdebyzs7NRWFgo9IKvsWPHon///qy5uXnzJu7du/daq2M7y8nJEZrPBw8ewMbGhnnxW9ffhijt7e1oaWkRewPlbR3D2/rNd5CXl8fgwYPx7NkzHDt2TGLKhp44dOgQLC0tWfmBuzu/K1aswNWrV1nXKABs2bJFKJ97Zz39zZeVlcHc3Fyofnp6erc5kmVkZKCoqMj6UBRFURRFURRFUdT7Rro3hUtKSlBQUAB7e3uoq6ujpKQET548gYmJCVOmubkZAQEBiIqKQmVlJaKjoxEaGtqjIMnrWrhwISZPnoyEhAS4uLigsLAQeXl5rFVdy5cvh6enJ8zNzWFnZ4dDhw4hKysLJ0+efOP+TUxMMGnSJERERMDf35+1wnTBggVITU2Fl5cXwsPDoaqqioqKCmRmZmLnzp1MIPVtc3BwQGBgINra2pg+Fi1aBCsrK8THx8PV1RXHjh1Dfn6+UN2OAEtdXR2ePHmC0tJScLlcJnju4uKChIQEmJubY+LEiaioqMCqVavg4uLC9JWdnY3IyEhW2oh79+6huroa9+7dQ1tbG9OPgYEBFBQURK5m3bRpE1avXo2MjAzo6ekx+T470m/U1dUhJiYGH330ETQ1NXH79m2Eh4fDwMCAlR/Zx8cHQ4YMYdJGBAcHY+vWrQgPD4e/vz8KCwtx8OBBHDlypMdzbGdnBz6fD19fX3zxxRd4/vw5Vq5cKVSuu+MGgC+++AKOjo6QkpJCVlYW4uLicPDgQdb1YWxsjI0bNzJpI5YuXQpfX1+MGzcOEyZMQGJiIl6+fMnkA87Pzwefz2cFsYqKijBz5kyEhYXho48+YuaTy+VCVVUVsrKyrFytAJh0E523b926FdnZ2awAW0VFBerq6vDw4UM0NDQwxzlixAiR+WFFCQsLQ1xcHAwNDWFsbIyEhAShVbILFixARkYGcnJyMGDAAOYYlJSUwOPxoKSkhICAACxduhSqqqpQVFTEwoULYWFhgUmTJjHtTJs2De7u7kxagebmZuYmSnNzMx48eIDS0lIoKCjAwMAAjx8/xsWLF5Gbm8u00REM1tXVRXx8PJ48ecLs61h5um/fPvTv3x+mpqaQkZHBxYsXERkZiX/961/Myv/z58/Dx8cHBQUFGDJkSI+PoSfzKRAIMG7cOFhZWWHfvn24du0aa2Vvd8cNAMeOHQMhBEZGRqioqMDy5cthbGzMyj39OteEqN98d+dXU1NT5CppHR0dVvC46/kNCwvDlClT8OWXX8LZ2RmZmZm4ePGi0IruU6dOwd7evsdzTFEU9XdTGSf8VAZFURRFURT1fwzphevXrxMHBwcyaNAgIiMjQ/h8PklOTmb2+/r6EldXV7J69WqipqZGFBQUSFBQEGlsbGTKTJkyhYSFhbHadXV1Jb6+vsx3ACQ7O5sQQsidO3cIAPLLL78w+589e0YAkKKiImbbN998Q4YMGUJ4PB5xc3Mj69evJ5qamqx+UlJSyPDhw0n//v0Jn88ne/fuZe3v3K+4vouKiggA8uzZM1bdXbt2EQDk/PnzQvN269Yt4u7uTpSVlQmPxyPGxsZk8eLFpL29XeSc6Orqki1btogdFyGEKCkpkbS0NKG+OrS0tBAtLS2Sn58vNM6hQ4cSHo9HXFxcSHx8PFFSUhKah64fXV1dVttr1qwh+vr6RFZWlmhra5OQkBDWnKSlpZGul5evr6/ItjvOo7a2Njlx4gSrjq6ursg60dHRhBBC6uvrib29PRk0aBDp378/0dXVJUFBQeThw4esdqZMmcK6xgh5dS5Hjx5NuFwuGT58uNB8ijqGrm7evEmsra0Jl8slfD6f5OfnC52v7o6bEEJsbW2JkpISkZWVJRMnTiRHjx4V6guA0BiTk5OJjo4O4XK5ZMKECeTcuXPMvk8//ZSsXLmSVV7cWKZMmSL2GDt+151FR0ezrglCXs2xqLbv3Lkj8Rg6a2lpIWFhYURRUZEoKyuTpUuXEh8fH1b/ovro2m5DQwMJCQkhKioqRE5Ojri7u5OqqipWX7q6usx1RMj/fu/i5mbnzp3EysqK1UbHNSLq0yEzM5OMGTOGKCgoEHl5eTJixAgSGxtLGhoamDId/650nqvXOQZRNmzYQAYOHEgUFBSIr68vCQ8PJ2ZmZj0+bkIIOXDgABk+fDjhcrlEU1OTLFiwgNTU1LD66e01UVdXR2RlZclvv/3GqtOT89uVqH8jRc3NwYMHCZ/PJ1wul4wcOZIcOXKEtf/3338n/fv3J/fv3xfbV2/U1tYSAKS2tvattEdRFEVRFEVRFEVRkvT071AOIW/wjH8XAoEANTU1+PHHH99Wk68tKCgIN27cwKlTp/6S/tatW4fvv/8eV69e/Uv664mvv/4aubm5OHbsWF8PpVuXL1/G1KlT8eTJE6F8yX0lOjoaP/30E+vldH8Xra2t0NDQQF5entALFvvKnTt3wOfzcf36dRgaGvb1cHpt1qxZsLa2Rnh4eF8PBcCr1C1qamrIy8uTmDv3fZWVlYWoqCih1DZ9KSIiAs+ePRObB7q3nj9/DiUlJdTW1tL0ERRFURRFURRFUdQ719O/Q3uVMuJ9Fh8fj+nTp0NeXh55eXnYs2cPUlJS3nm/dXV1qKysxNatW7F+/fp33l9vzJ8/HzU1NXjx4gUGDBjQ18ORqLW1FcnJye9NMBgA8vLysHXr1r4exmuprq7GkiVLMH78+L4eCuPo0aOYN2/e3zIYDADW1tbw8vLq62EwioqKMHXq1L9lMBh4lfZl06ZNfT0MFnV1dSxdurSvh0FRFEVRFEVRFEVR79Q/ZoWwp6cniouL8eLFCwwfPhwLFy5EcHDwO+9XIBBg//79cHNzQ0ZGxjvLCUxRFEX9vdAVwhRFURRFURRFUdRfqad/h77VN72lp6f3WbqIgwcP4vHjx2hoaMC1a9f+kmAw8OqYm5qacODAARoM/gewsbHB4sWLJZbhcDjvRVqUv0rXOdHT00NiYuIbt3vz5k1oamrixYsXYsukp6czL7Wj3o63df7+afLz8zF69Gi0t7f39VAoiqIoiqIoiqIo6p16qwFhivq/oKqqCk5OTn09jD5z4cIFzJs3743biYyMxMKFC3uVzqSqqgre3t7g8/mQkpISG7xPTEyEkZEReDwetLW1sWTJEjQ2Nkpse8OGDbC0tIScnJzEIPTdu3fB4/FQV1eH1NRUfPjhh1BRUYGKigrs7Oxw/vx5sXWDg4PB4XC6Dcj29Djfhm+++QY2NjZQVFQEh8NBTU2NUJlbt27B1dUVAwcOhKKiIqytrVFUVCSx3d7Mja2tLXbu3IkrV67Ay8sL2tra4PF4MDExQVJSktg+Tp8+DWlpaYwePbrb46yursacOXOgqKgIZWVlBAQEoK6ujtnv6OiI/v37Y9++fUJ1KysrIRAIuu2DoiiKoiiKoiiKov4O/jE5hCnqr6KpqdnXQ+hTgwYNeuM27t27h8OHDyM5OblX9ZqamjBo0CBERUVhy5YtIstkZGRgxYoV2L17NywtLXHr1i0IBAJwOBwkJCSIbbu5uRmzZ8+GhYUFdu3aJbZcTk4ObG1toaCggOLiYnh5ecHS0hKysrLYtGkT7O3tce3aNQwZMoRVLzs7G+fOnYOWltZbOc63pb6+Ho6OjnB0dERkZKTIMjNnzoShoSEKCwvB4/GQmJiImTNn4vbt22J/Dz2dm+rqapw+fRqZmZk4cuQI1NXV8d1330FbWxtnzpzBvHnz0K9fP4SGhrLar6mpgY+PD6ZNm4ZHjx51e5xz5sxBVVUVTpw4gZaWFvj5+WHevHnIyMhgyggEAnz11VeYO3cuAGDfvn2YNGkS8/QHIQQpKSnw9vaGiopKt31SFEW9j/RWHOnrIVB9rDLOua+HQFEURVFUH6MrhKl/lB9++AGmpqbg8XhQU1ODnZ0dXr58CeBVsMfNzQ0xMTEYNGgQFBUVERwcjObmZlYb7e3tCA8Ph6qqKjQ1NbFmzRrW/s4pIyorK8HhcJCVlQVbW1vIycnBzMwMZ8+eZdVJTU2FtrY25OTk4O7ujoSEBKFVqNu2bYO+vj64XC6MjIzw7bffCvW7Y8cOzJw5E3JycjAxMcHZs2dRUVEBGxsbyMvLw9LSErdv32bGJiUlhYsXL7LaSUxMhK6uLvNofFlZGZycnKCgoAANDQ3MnTsXT58+FTvHXVMOcDgc7Ny5E+7u7pCTk4OhoSFyc3PF1gdepXgxMzMTCpqmp6dDR0eHmac///xTqO+kpCT4+PhASUlJZNtnzpyBlZUVvL29oaenB3t7e3h5eUlcuQsAMTExWLJkCUxNTSWWy8nJwaxZswC8ChiGhIRg9OjRMDY2xs6dO9He3o6CggJWnQcPHmDhwoXYt29fj16c2JPj7InHjx/DxcUFPB4Pw4YNE7n6dfHixVixYgUmTZokso2nT5/it99+w4oVKzBq1CgYGhoiLi4O9fX1KCsrE9t3T+fmyJEjGDNmDDQ0NODv74+kpCRMmTIFw4cPx6effgo/Pz9kZWUJtR8cHAxvb29YWFh0Ow/l5eXIz8/Hzp07MXHiRFhbWyM5ORmZmZn4448/mHIuLi64ePEi8xsaNmwYfH19sX37dvz+++9wdHTEgwcPICMj022fFEVRFEVRFEVRFPW+ogFh6h+jqqoKXl5e8Pf3R3l5OYqLi+Hh4YHO700sKChg9u3fvx9ZWVmIiYlhtbNnzx7Iy8ujpKQEmzdvxtq1a3HixAmJfa9cuRLLli1DaWkp+Hw+vLy80NraCuDVY+3BwcEICwtDaWkppk+fjg0bNrDqZ2dnIywsDJ999hnKysowf/58+Pn5CT2Wv27dOvj4+KC0tBTGxsbw9vbG/PnzERkZiYsXL4IQwqyk1NPTg52dHdLS0lhtpKWlQSAQQEpKCjU1NZg6dSrMzc1x8eJF5Ofn49GjR/D09OzV3MfExMDT0xNXr17FjBkzMGfOHFRXV4stf+rUKYwbN461raSkBAEBAQgNDUVpaSlsbW2xfv36Xo0DACwtLXHp0iUmAPzf//4XR48exYwZM5gy6enp4HA4vW67pqYGP//8MxMQ7qq+vh4tLS1QVVVltrW3t2Pu3LlYvnw5Ro4cKbKejY3NO0lJIBAIcP/+fRQVFeGHH35ASkoKHj9+3Ks21NTUYGRkhL179+Lly5dobW3Fjh07oK6ujrFjxzLl9PT0hG6edCZqbgAgNzcXrq6uYuvV1tYK1UlLS8N///tfREdHi6zT9fyePXsWysrKrGvOzs4OUlJSKCkpYbbp6OhAQ0MDp06dAvDqWioqKsLZs2dRXFyMxYsXIzY2FnJycmLHS1EURVEURVEURVHvO5oygvrHqKqqQmtrKzw8PKCrqwsAQqs9uVwudu/eDTk5OYwcORJr167F8uXLsW7dOkhJvbo/MmrUKCbQZGhoiK1bt6KgoADTp08X2/eyZcvg7Pzq8buYmBiMHDkSFRUVMDY2RnJyMpycnLBs2TIAAJ/Px5kzZ3D48GGmfnx8PAQCAUJCQgAAS5cuxblz5xAfHw9bW1umnJ+fHxOsjYiIgIWFBVatWgUHBwcAQFhYGPz8/JjygYGBCA4ORkJCAmRkZHD58mX8+uuvyMnJAQBs3boV5ubmiI2NZers3r0b2trauHXrFvh8fo/mXiAQwMvLCwAQGxuLr776CufPn4ejo6PI8nfv3hUKCCclJcHR0RHh4eGsecrPz+/RGDp4e3vj6dOnsLa2BiEEra2tCA4Oxueff86UUVJSgpGRUa/aBYCjR49i1KhRYtM+REREQEtLC3Z2dsy2TZs2QVpaGosWLRLbro6ODgYPHtzr8Uhy69Yt5OXl4fz58xg/fjwAYNeuXTAxMelVOxwOBydPnoSbmxsGDBgAKSkpqKurIz8/n5U2QV9fHwMHDhTbjqi5aWpqQn5+vthA8pkzZ3DgwAEcOfK/x5s7ViufOnUK0tKi/wvren4fPnwIdXV1VhlpaWmoqqri4cOHrO1aWlq4e/cugFc3KZYvXw5LS0v0798fiYmJOHv2LD7//HPIysoK9dvU1ISmpibm+/Pnz8XMBkVRFEVRFEVRFEX1HbpCmPrHMDMzw7Rp02BqaorZs2cjNTUVz549EyrTeXWfhYUF6urqcP/+fWbbqFGjWHUGDx7c7arKznU6AnsddW7evIkJEyawynf9Xl5eDisrK9Y2KysrlJeXi+1HQ0MDADvoraGhgcbGRiYQ5ebmhn79+iE7OxvAq5WTtra20NPTAwBcuXIFRUVFUFBQYD7GxsYAwDw23xOdxyUvLw9FRUWJc9bQ0CAUUCsvL8fEiRNZ23qSDqCr4uJixMbGIiUlBZcvX0ZWVhaOHDmCdevWMWXc3d1x48aNXrfdOV1EV3FxccjMzER2djZzbJcuXUJSUlK3K5L37t2LjRs39no8kpSXl0NaWpq1itfY2FjiC/NEIYRgwYIFUFdXx6lTp3D+/Hm4ubnBxcUFVVVVTLmCggKhPL8dRM0NABQWFkJdXV3kyumysjK4uroiOjoa9vb2AIC2tjZ4e3sjJiZG4s2K1z2/AMDj8VBfXw/gVfA5LS0NwcHBGDp0KPLz86GhocHs72rjxo1QUlJiPtra2q81BoqiKIqiKIqiKIp6l2hAmPrH6NevH06cOIG8vDyMGDECycnJMDIywp07d3rVTtccrxwOh8m325M6HYG/7uq8DlH9SOqby+XCx8cHaWlpaG5uRkZGBvz9/ZnydXV1cHFxQWlpKevz22+/YfLkya81ro5xSDr+gQMHCgXr35ZVq1Zh7ty5CAwMhKmpKdzd3REbG4uNGze+0Tlpbm5Gfn6+yIBwfHw84uLicPz4cVZw/NSpU3j8+DF0dHQgLS0NaWlp3L17F5999hkTp52vuAABAABJREFUlH/fFRYW4vDhw8jMzISVlRXGjBmDlJQU8Hg87Nmzp9v64uYGeJUuQtR8Xr9+HdOmTcO8efMQFRXFbH/x4gUuXryI0NBQZj7Xrl2LK1euQFpaGoWFhSLHoKmpKXSDorW1FdXV1UIvxauurmZenPjpp59CX1+f2cfhcLBgwQKhFBYdIiMjUVtby3w632iiKIqiKIqiKIqiqPcFDQhT/ygcDgdWVlaIiYnBL7/8Ai6Xy6yOBV6tiG1oaGC+nzt3DgoKCu90JZ+RkREuXLjA2tb1u4mJCU6fPs3advr0aYwYMeKN+w8MDMTJkyeRkpLCpNToMGbMGFy7dg16enowMDBgfeTl5d+4b3HMzc1x/fp11jYTExNWPlfg1fnprfr6eib9R4d+/foBACufdG8VFxdDRUUFZmZmrO2bN2/GunXrkJ+fL5QGY+7cubh69Sor2K6lpYXly5fj2LFjrz2WnjA2NkZraysuXbrEbLt58yZqamp61U7HatiucyolJdVtgF3S3BBCcOjQIaH8wdeuXYOtrS18fX2Fcm0rKiri119/Zc1ncHAwjIyMUFpaKrTCvIOFhQVqampYc1FYWIj29nZWncbGRty+fRvm5uas+np6ekhPT5d4rAAgIyMDRUVF1oeiKIqiKIqiKIqi3jc0hzD1j1FSUoKCggLY29tDXV0dJSUlePLkCStnanNzMwICAhAVFYXKykpER0cjNDRUKNj1Ni1cuBCTJ09GQkICXFxcUFhYiLy8PFYKgeXLl8PT0xPm5uaws7PDoUOHkJWVhZMnT75x/yYmJpg0aRIiIiLg7+8PHo/H7FuwYAFSU1Ph5eWF8PBwqKqqoqKiApmZmdi5cycTSH3bHBwcEBgYiLa2NqaPRYsWwcrKCvHx8XB1dcWxY8dE5g8uLS0F8Gp185MnT1BaWgoul8sEz11cXJCQkABzc3NMnDgRFRUVWLVqFVxcXJi+srOzERkZyUorcO/ePVRXV+PevXtoa2tj+jEwMICCgoLI1aybNm3C6tWrkZGRAT09PSYfbUf6DTU1NaipqbHq9O/fH5qamqwctz4+PhgyZAgrbUR3x9kdIyMjODo6Yv78+di2bRukpaWxePFi1vkHXuXXffjwISoqKgAAv/76KwYMGAAdHR2oqqrCwsICKioq8PX1xerVq8Hj8ZCamoo7d+4webMBYNq0aXB3d2fSRnQ3N5cuXUJ9fT2sra2ZNsrKyjB16lQ4ODhg6dKlTJ1+/fph0KBBkJKSwgcffMAav7q6OmRlZVnbu55fExMTODo6IigoCNu3b0dLSwtCQ0PxySefsPJBnzt3DjIyMq+VqoSiKOrvojLOuftCFEVRFEVR1D8aXSFM/WMoKiriP//5D2bMmAE+n4+oqCh8+eWXcHJyYspMmzYNhoaGmDx5Mv71r39h1qxZYl9o9bZYWVlh+/btSEhIgJmZGfLz87FkyRJWLlU3NzckJSUhPj4eI0eOxI4dO5CWlgYbG5u3MoaAgAA0Nzez0kUAr16gdfr0abS1tcHe3h6mpqZYvHgxlJWV32mQ3MnJCdLS0qyA96RJk5CamoqkpCSYmZnh+PHjrHQBHczNzWFubo5Lly4hIyMD5ubmmDFjBrM/KioKn332GaKiojBixAgEBATAwcEBO3bsYMrU1tbi5s2brHZXr14Nc3NzREdHo66ujunn4sWLAESnN9i2bRuam5vx8ccfY/DgwcwnPj6+V/Nx7949Vj7enhxncXExOBwOKisrxbablpYGLS0tTJkyBR4eHpg3b57Qy9W2b98Oc3NzBAUFAQAmT54Mc3Nz5ObmAniV3iM/Px91dXWYOnUqxo0bh59//hk5OTms1dK3b9/G06dPezw3OTk5mDFjBuvFcD/88AOePHmC7777jlWn46V4PSXq/O7btw/GxsaYNm0aZsyYAWtra3zzzTesMvv378ecOXNYecYpiqIoiqIoiqIo6p+GQ97kGWqK+hsRCASoqanBjz/+2NdDQVBQEG7cuIFTp079Jf2tW7cO33//Pa5evfqX9NcTX3/9NXJzc9956oS34fLly5g6dSqePHkilC+5r6SlpSE2NhbXr19/b8bUG6NGjUJUVBQ8PT37eigAgKdPn8LIyAgXL17EsGHD3kqbz58/h5KSEmpra2n6CIqiKIqiKIqiKOqd6+nfoTRlBEX9BeLj4zF9+nTIy8sjLy8Pe/bsQUpKyjvvt66uDpWVldi6dSvWr1//zvvrjfnz56OmpgYvXrzAgAED+no4ErW2tiI5Ofm9CrwePXoUsbGx79WYeqq5uRkfffQRa/V+X6usrERKSspbCwZTFEVRFEVRFEVR1PuKrhCm/s/oyxXCnp6eKC4uxosXLzB8+HAsXLgQwcHB77xfgUCA/fv3w83NDRkZGe8sJzBFUcLoCmGKoiiKoiiKoijqr9TTv0NpDuG/ORsbGyxevFhiGQ6H816kSfirdJ0TPT09JCYmIj09/Y3m4ebNm9DU1MSLFy/ElklPT4eysrLQ9oMHD+Lx48doaGjAtWvX/pJgcMd4mpqacODAgb9tMPj/2vX7rgkEAri5ufX1MN47zc3N0NPTY3JGUxRFURRFURRFUdQ/FQ0I/x9QVVX1Xj2a/Ve7cOEC5s2b98btREZGYuHChb1Kb1BVVQVvb2/w+XxISUmJDd4nJibCyMgIPB4P2traWLJkCRobGyW2vWHDBlhaWkJOTk5kELrD3bt3wePxUFdXh9TUVHz44YdQUVGBiooK7OzscP78eaZsS0sLIiIiYGpqCnl5eWhpacHHxwd//PGHxLFkZWVh+vTpGDRoEBQVFWFhYfHOcgP35LgvXLiAadOmQVlZGSoqKnBwcMCVK1cktrtx40aMHz8eAwYMgLq6Otzc3IReTNZh2LBhOHnyJIqLi+Hq6orBgwdDXl4eo0ePxr59+1hlu5tzcRYtWoSxY8dCRkYGo0eP7rb86/rPf/4DFxcXaGlpSQy+l5eXY9asWVBSUoK8vDzGjx+Pe/fuiW23sbERAoEApqamkJaWlhiE3rNnD6ytrXt9/TU1NWH06NHgcDgoLS2VeJzdnV8ul4tly5YhIiJCZP239YJHiqIoiqIoiqIoiuprNIfw/wGampp9PYQ+NWjQoDdu4969ezh8+DCSk5N7Va+pqQmDBg1CVFQUtmzZIrJMRkYGVqxYgd27d8PS0hK3bt2CQCAAh8NBQkKC2Labm5sxe/ZsWFhYYNeuXWLL5eTkwNbWFgoKCiguLoaXlxcsLS0hKyuLTZs2wd7eHteuXcOQIUNQX1+Py5cvY9WqVTAzM8OzZ88QFhaGWbNmSVw5+Z///AfTp09HbGwslJWVkZaWBhcXF5SUlMDc3LznE9YD3R13XV0dHB0dMWvWLKSkpKC1tRXR0dFwcHDA/fv3xebc/emnn7BgwQKMHz8era2t+Pzzz2Fvb4/r169DXl6eKXf16lU8e/YMU6ZMwRdffIFRo0YhIiICGhoaOHz4MHx8fKCkpISZM2cCQLdzLom/vz9KSkre6csAX758CTMzM/j7+8PDw0Nkmdu3b8Pa2hoBAQGIiYmBoqIirl27BllZWbHttrW1gcfjYdGiRfj3v/8tcQw5OTmYNWtWr6+/8PBwaGlpdRvsB3p2fufMmYPPPvsM165dw8iRI3Hr1i1cvnwZn3zyCdPO5cuX8ccffzDnl6Io6u9Gb8WRvh5Cj1XGOff1ECiKoiiKov6R6ArhPvbDDz/A1NQUPB4PampqsLOzw8uXLwH879HumJgYZuVlcHAwmpubWW20t7cjPDwcqqqq0NTUxJo1a1j7O6/6q6ysBIfDQVZWFmxtbSEnJwczMzOcPXuWVSc1NRXa2tqQk5ODu7s7EhIShFZjbtu2Dfr6+uByuTAyMsK3334r1O+OHTswc+ZMyMnJwcTEBGfPnkVFRQVsbGwgLy8PS0tL3L59mxmblJSUUOAnMTERurq6aG9vBwCUlZXByckJCgoK0NDQwNy5c/H06VOxc9yRMqLzuHbu3Al3d3fIycnB0NAQubm5YusDr1I+mJmZCQXw0tPToaOjw8zTn3/+KdR3UlISEyQU5cyZM7CysoK3tzf09PRgb28PLy+vbleRxsTEYMmSJTA1NZVYriPYBgD79u1DSEgIRo8eDWNjY+zcuRPt7e0oKCgAACgpKeHEiRPw9PSEkZERJk2ahK1bt+LSpUsSV4MmJiYiPDwc48ePh6GhIWJjY2FoaIhDhw5JHFtXv/32GyZPngxZWVmMGDECJ06c6PVx37hxA9XV1Vi7di2MjIwwcuRIREdH49GjR7h7967YvvPz8yEQCDBy5EiYmZkhPT0d9+7dw6VLl1jlcnJy4OjoiP79++Pzzz/HunXrYGlpCX19fYSFhcHR0RFZWVlM+e7mXJyvvvoKCxYswPDhwyWWk6StrQ1Lly6FsrIy1NTUEB4ejq5p452cnLB+/Xq4u7uLbWflypWYMWMGNm/eDHNzc+jr62PWrFlQV1cXW0deXh7btm1DUFCQxJtSjY2NOH78OLP6uKfXX15eHo4fP474+PgezUVPzq+KigqsrKyQmZkJABg4cCCKiorg6emJmpoarF69GpGRkW90TiiKoiiKoiiKoiiqr9GAcB+qqqqCl5cX/P39UV5ejuLiYnh4eLACNgUFBcy+/fv3IysrCzExMax29uzZA3l5eZSUlGDz5s1Yu3atyEBaZytXrsSyZctQWloKPp8PLy8vtLa2AgBOnz6N4OBghIWFobS0FNOnT8eGDRtY9bOzsxEWFobPPvsMZWVlmD9/Pvz8/FBUVMQqt27dOvj4+KC0tBTGxsbw9vbG/PnzERkZiYsXL4IQgtDQUACvgqd2dnZIS0tjtZGWlgaBQAApKSnU1NRg6tSpMDc3x8WLF5Gfn49Hjx7B09OzV3MfExMDT09PXL16FTNmzMCcOXNQXV0ttvypU6cwbtw41raSkhIEBAQgNDQUpaWlsLW1xfr163s1DgCwtLTEpUuXmADwf//7Xxw9ehQzZsxgyqSnp4PD4fS67ZqaGvz8889MQLir+vp6tLS0QFVVVWwbtbW14HA4rBsCNjY2EAgEYuu0t7fjxYsXEtsVVcfDwwNcLhclJSXYvn272Mf3JTEyMoKamhp27dqF5uZmNDQ0YNeuXTAxMYGenh5TjsPhID09XWw7tbW1ACB0DLm5uXB1dZVYT9Jxi5rzNWvWsMb2tnz55ZdIT0/H7t278fPPP6O6uhrZ2dm9aqO9vR1HjhwBn8+Hg4MD1NXVMXHiRKHUEgKB4LXSKhQUFGDIkCEwNjYWuV/U9ffo0SMEBQXh22+/hZycnMh6r3t+J0yYgFOnTjH7duzYATs7O1y5cgW3b9/GsWPHMGLEiF4cIUVRFEVRFEVRFEW9X2hAuA9VVVWhtbUVHh4e0NPTg6mpKUJCQqCgoMCU4XK52L17N0aOHAlnZ2esXbsWX331FbNaFgBGjRqF6OhoGBoawsfHB+PGjet29eGyZcvg7OwMPp+PmJgY3L17FxUVFQCA5ORkODk5YdmyZeDz+QgJCRHKQRwfHw+BQICQkBDw+XwsXboUHh4eQqv1/Pz84OnpCT6fj4iICFRWVmLOnDlwcHCAiYkJwsLCUFxczJQPDAzE/v370dTUBODV49m//vor/Pz8AABbt26Fubk5YmNjYWxsDHNzc+zevRtFRUW4detWj+deIBDAy8sLBgYGiI2NRV1dncQVuXfv3oWWlhZrW1JSEhwdHREeHg4+n49FixbBwcGhx2Po4O3tjbVr18La2hr9+/eHvr4+bGxs8PnnnzNllJSUYGRk1Ou2jx49ilGjRgmNvUNERAS0tLRgZ2cncn9jYyMiIiLg5eXFejuljo4OBg8eLLbf+Ph41NXV9SpQf/LkSdy4cQN79+6FmZkZJk+ejNjY2B7X7zBgwAAUFxfju+++A4/Hg4KCAvLz85GXlwdp6f9lyTEyMhK7aru9vR2LFy+GlZUVPvjgA2b7gwcPcPXqVbE5uQ8ePIgLFy4w16soouZ84MCB0NfX7+2hdisxMRGRkZHw8PCAiYkJtm/fLvaYxXn8+DHq6uoQFxcHR0dHHD9+HO7u7vDw8MBPP/3ElBs8eDB0dHR6PcbOK9i7EnX9EUIgEAgQHBwsdJOms9c5vwCgpaXFrCR/9uwZQkJCcPLkSZiZmUFfXx9OTk5ic0s3NTXh+fPnrA9FURRFURRFURRFvW9oQLgPmZmZYdq0aTA1NcXs2bORmpqKZ8+eCZXpvALOwsICdXV1uH//PrNt1KhRrDqDBw/G48ePJfbduU5HYK+jzs2bNzFhwgRW+a7fy8vLYWVlxdpmZWWF8vJysf1oaGgAAOtRfw0NDTQ2NjKBEzc3N/Tr149ZxZieng5bW1tm9eSVK1dQVFQEBQUF5tOxsrAj9URPdB6XvLw8FBUVJc5ZQ0ODUL7U8vJyTJw4kbXNwsKix2PoUFxcjNjYWKSkpODy5cvIysrCkSNHsG7dOqaMu7s7bty40eu2JQXb4uLikJmZiezsbJG5YFtaWuDp6QlCCLZt28bat3fvXmzcuFFkuxkZGYiJicHBgwclphToqry8HNra2qzg9evMZ0NDAwICAmBlZYVz587h9OnT+OCDD+Ds7IyGhgam3I0bN8SmSViwYAHKysqY1AEdcnNzYW1tLfJldkVFRfDz80NqaipGjhwpsl1xcx4aGtrtTZzeqq2tRVVVFesalZaWlhhEFaXj5pOrqyuWLFmC0aNHY8WKFZg5cya2b9/OlNu4cSP27t3bq7YJITh06JDIa1Tc9ZecnIwXL14gMjJSYtuvc34BgMfjob6+HsCrfxM//PBDHDx4EMrKyli7di02bNgg9ubTxo0boaSkxHy0tbUljpGiKIqiKIqiKIqi+gINCPehfv364cSJE8jLy8OIESOQnJwMIyMj3Llzp1ftdH1JFofDYa0g7q5ORyqC7uq8DlH9SOqby+XCx8cHaWlpaG5uRkZGBvz9/ZnydXV1cHFxQWlpKevTkXv2dcbVMQ5Jxz9w4EChYP3bsmrVKsydOxeBgYEwNTWFu7s7YmNjsXHjxjc6J83NzcjPzxcZbIuPj0dcXByOHz8udEMB+F8w7u7duzhx4gRrdbAkmZmZCAwMxMGDB8WuOn7XMjIyUFlZibS0NIwfPx6TJk1CRkYG7ty5g5ycnG7rh4aG4vDhwygqKsLQoUNZ+3Jzc0XO508//QQXFxds2bIFPj4+Itvtbs7fVwMHDoS0tLRQmgQTExOJeaV74vz582htbYWlpSVru6Trr7CwEGfPnoWMjAykpaVhYGAAABg3bhx8fX277VPS+QWA6upq5kWURkZG8PLyYu0fM2YMXFxcRLYdGRmJ2tpa5tP5xh1FURRFURRFURRFvS9oQLiPcTgcWFlZISYmBr/88gu4XC4rx+eVK1dYqxrPnTsHBQWFd7ryzMjICBcuXGBt6/rdxMQEp0+fZm07ffr0W8mtGRgYiJMnTyIlJYVJqdFhzJgxuHbtGvT09GBgYMD6yMvLv3Hf4pibm+P69eusbSYmJigpKWFtO3fuXK/brq+vh5QU+6fYr18/ABB6AVhvFBcXQ0VFBWZmZqztmzdvxrp165Cfny9ytWhHMO63337DyZMnoaam1qP+9u/fDz8/P+zfvx/Ozr1/K7iJiQnu37+PqqoqZtubzGfnnMsd3yUF2DvyWWdnZ6OwsBDDhg1j7a+rq0NRUZFQ/uDi4mI4Oztj06ZNmDdvnsi2u5vzd0FJSQmDBw9mXaOtra1CL8nrDpfLxfjx44XSJNy6dQu6urpvNMacnBw4Ozsz1zvQ/fX31Vdf4cqVK8zNoKNHjwIADhw4IJTrvLPuzm+HsrIymJubC23vnNpGHBkZGSgqKrI+FEVRFEVRFEVRFPW+ke6+CPWulJSUoKCgAPb29lBXV0dJSQmePHkCExMTpkxzczMCAgIQFRWFyspKREdHIzQ0VCiA+DYtXLgQkydPRkJCAlxcXFBYWIi8vDxWgG358uXw9PSEubk57OzscOjQIWRlZeHkyZNv3L+JiQkmTZqEiIgI+Pv7g8fjMfsWLFiA1NRUeHl5ITw8HKqqqqioqEBmZiZ27tzJCiy9TQ4ODggMDERbWxvTx6JFi2BlZYX4+Hi4urri2LFjyM/PF6pbWloK4FVA8cmTJygtLQWXy2WC5y4uLkhISIC5uTkmTpyIiooKrFq1Ci4uLkxf2dnZiIyMZKWNuHfvHqqrq3Hv3j20tbUx/RgYGEBBQUHkatZNmzZh9erVyMjIgJ6eHh4+fAgATPqNlpYWfPzxx7h8+TIOHz6MtrY2poyqqiq4XC4AwMfHB0OGDGHSRmRkZMDX1xdJSUmYOHEiU4fH4/U4Z62dnR34fD58fX3xxRdf4Pnz51i5cqVQue6Oe/r06Vi+fDkWLFiAhQsXor29HXFxcZCWloatrS3TjrGxMTZu3MikFViwYAEyMjKQk5ODAQMGMMegpKQEHo+H/Px88Pl81svfioqKMHPmTISFheGjjz5i6nC5XOZlZd3NOfAqN3Z2djYrbURFRQXq6urw8OFDNDQ0MMc5YsQI5jx0JywsDHFxcTA0NISxsTESEhJQU1PDKlNXV8fkDweAO3fuoLS0FKqqqkxO4OXLl+Nf//oXJk+eDFtbW+Tn5+PQoUOsIGlkZCQePHjAShtx/fp1NDc3o7q6Gi9evGCOYfTo0QBerbheu3YtU74n11/XPMUdc6ivr89a8dvb89vh1KlTrHQtFEVR/zSVcb2/aUtRFEVRFEX9wxCqz1y/fp04ODiQQYMGERkZGcLn80lycjKz39fXl7i6upLVq1cTNTU1oqCgQIKCgkhjYyNTZsqUKSQsLIzVrqurK/H19WW+AyDZ2dmEEELu3LlDAJBffvmF2f/s2TMCgBQVFTHbvvnmGzJkyBDC4/GIm5sbWb9+PdHU1GT1k5KSQoYPH0769+9P+Hw+2bt3L2t/537F9V1UVEQAkGfPnrHq7tq1iwAg58+fF5q3W7duEXd3d6KsrEx4PB4xNjYmixcvJu3t7SLnRFdXl2zZskXsuAghRElJiaSlpQn11aGlpYVoaWmR/Px8oXEOHTqU8Hg84uLiQuLj44mSkpLQPHT96Orqstpes2YN0dfXJ7KyskRbW5uEhISw5iQtLY10/bn6+vqKbLvjPGpra5MTJ06w6ujq6oqsEx0dTQj53zmS1C4hr+a48zU2ZcoUkXU6lxF1DF3dvHmTWFtbEy6XS/h8PsnPzxc6X90dNyGEHD9+nFhZWRElJSWioqJCpk6dSs6ePSt0Xjqfc3HH3VHm008/JStXruzROZgyZUqP55wQQqKjo1nXhKQ5vXPnjthj6KqlpYWEhYURRUVFoqysTJYuXUp8fHyIq6srU6bjNyjp3BHy6lo3MDAgsrKyxMzMjPz4449Cc9H5uCUdOyGEVFRUEBkZGVJXV8eU7+n115mof1dEzU1355cQQs6cOUOUlZVJfX292DntjdraWgKA1NbWvpX2KIqiKIqiKIqiKEqSnv4dyiHkDZ5Jp94pgUCAmpoa/Pjjj309FAQFBeHGjRs4derUX9LfunXr8P333+Pq1at/SX898fXXXyM3NxfHjh3r66F06/Lly5g6dSqePHkilC+5r0RHR+Onn37q0aP375vW1lZoaGggLy9P6AWLfeXOnTvg8/m4fv06DA0N+3o4vZaQkICTJ08yKR/eB//6179gZmaGzz///K209/z5cygpKaG2tpamj6AoiqIoiqIoiqLeuZ7+HUpTRlAixcfHY/r06ZCXl0deXh727NmDlJSUd95vXV0dKisrsXXrVqxfv/6d99cb8+fPR01NDV68eIEBAwb09XAkam1tRXJy8nsTDAaAvLw8bN26ta+H8Vqqq6uxZMkSjB8/vq+Hwjh69CjmzZv3twwGA8DQoUMRGRnZ18NgNDc3w9TUFEuWLOnroVAURVEURVEURVHUO0VXCL/H+nKFsKenJ4qLi/HixQsMHz4cCxcuRHBw8DvvVyAQYP/+/XBzc0NGRsY7ywlMURT1rtEVwhRFURRFURRFUdRfqad/h767N5NRbyw9Pb3bYLCNjQ0WL14ssQyHw+l1UPngwYN4/PgxGhoacO3atb8kGAy8OuampiYcOHDgtYPBXedET08PiYmJbzy2mzdvQlNTEy9evBBbJj09HcrKym/cF/U/b+v8Ua8IBAK4ubn19TDeS5MmTcK///3vvh4GRVEURVEURVEURb1TNCD8f0BVVRWcnJz6ehh95sKFC5g3b94btxMZGYmFCxf2Kl1EVVUVvL29wefzISUlJTZ4n5iYCCMjI/B4PGhra2PJkiVobGyU2PaGDRtgaWkJOTk5iUHou3fvgsfjoa6uDqmpqfjwww+hoqICFRUV2NnZ4fz580zZlpYWREREwNTUFPLy8tDS0oKPjw/++OOPt3Kcb8M333wDGxsbKCoqgsPhoKamRqjMrVu34OrqioEDB0JRURHW1tYoKiqS2G53c9OZra0tdu7ciStXrsDLywva2trg8XgwMTFBUlISq2xWVhamT5+OQYMGQVFRERYWFj3KQ11dXY05c+ZAUVERysrKCAgIQF1dXbf1eus///kPXFxcoKWlJfHmUXl5OWbNmgUlJSXIy8tj/PjxuHfvnth2GxsbIRAIYGpqCmlpaYlB6D179sDa2rrX119TUxNGjx4NDoeD0tLSNz7OqKgorFixAu3t7UL7BAIBKisrJfZBURRFURRFURRFUX8HNIfw/wGampp9PYQ+NWjQoDdu4969ezh8+DCSk5N7Va+pqQmDBg1CVFQUtmzZIrJMRkYGVqxYgd27d8PS0hK3bt2CQCAAh8NBQkKC2Labm5sxe/ZsWFhYYNeuXWLL5eTkwNbWFgoKCiguLoaXlxcsLS0hKyuLTZs2wd7eHteuXcOQIUNQX1+Py5cvY9WqVTAzM8OzZ88QFhaGWbNm4eLFi290nG9LfX09HB0d4ejoKDYH7cyZM2FoaIjCwkLweDwkJiZi5syZuH37ttjfQ3dz06G6uhqnT59GZmYmjhw5AnV1dXz33XfQ1tbGmTNnMG/ePPTr1w+hoaEAXgUip0+fjtjYWCgrKyMtLQ0uLi4oKSmBubm52OOcM2cOqqqqcOLECbS0tMDPzw/z5s1DRkbGG8yesJcvX8LMzAz+/v7w8PAQWeb27duwtrZGQEAAYmJioKioiGvXrkFWVlZsu21tbeDxeFi0aFG3q25zcnIwa9asXl9/4eHh0NLSwpUrV97KcTo5OSEwMBB5eXlwdnZGdXU19u/fj5CQENZcnDt3DnPmzOm2T4qiqPeR3oojfT2E905lnHNfD4GiKIqiKOovRVcI97EffvgBpqam4PF4UFNTg52dHV6+fAngf492x8TEMKsLg4OD0dzczGqjvb0d4eHhUFVVhaamJtasWcPa33k1XGVlJTgcDrKysmBraws5OTmYmZnh7NmzrDqpqanQ1taGnJwc3N3dkZCQILQKddu2bdDX1weXy4WRkRG+/fZboX537NiBmTNnQk5ODiYmJjh79iwqKipgY2MDeXl5WFpa4vbt28zYpKSkhAI/iYmJ0NXVZVbtlZWVwcnJCQoKCtDQ0MDcuXPx9OlTsXPcNeUAh8PBzp074e7uDjk5ORgaGiI3N1dsfeBVCg0zMzNWYBB4lSJCR0eHmac///xTqO+kpCT4+PhASUlJZNtnzpyBlZUVvL29oaenB3t7e3h5eYldndohJiYGS5YsgampqcRyHcE2ANi3bx9CQkIwevRoGBsbY+fOnWhvb0dBQQEAQElJCSdOnICnpyeMjIwwadIkbN26FZcuXZK4GrQnx9kTjx8/houLC3g8HoYNG4Z9+/YJlVm8eDFWrFiBSZMmiWzj6dOn+O2337BixQqMGjUKhoaGiIuLQ319PcrKysT23d3cdDhy5AjGjBkDDQ0N+Pv7IykpCVOmTMHw4cPx6aefws/PD1lZWUz5xMREhIeHY/z48TA0NERsbCwMDQ1x6NAhsWMpLy9Hfn4+du7ciYkTJ8La2hrJycnIzMzsdrV2Z21tbVi6dCmUlZWhpqaG8PBwdE0b7+TkhPXr18Pd3V1sOytXrsSMGTOwefNmmJubQ19fH7NmzYK6urrYOvLy8ti2bRuCgoIk3pRqbGzE8ePHmdXHPb3+8vLycPz4ccTHx/doLnpynP369cOMGTOQmZkJAJCVlcWDBw/g6OiI33//Hdu3b4dAIMCwYcN61CdFURRFURRFURRFvY9oQLgPVVVVwcvLC/7+/igvL0dxcTE8PDxYAZuCggJm3/79+5GVlYWYmBhWO3v27IG8vDxKSkqwefNmrF27FidOnJDY98qVK7Fs2TKUlpaCz+fDy8sLra2tAIDTp08jODgYYWFhKC0txfTp07FhwwZW/ezsbISFheGzzz5DWVkZ5s+fDz8/P6HH8tetWwcfHx+UlpbC2NgY3t7emD9/PiIjI3Hx4kUQQpiVlHp6erCzs0NaWhqrjbS0NAgEAkhJSaGmpgZTp06Fubk5Ll68iPz8fDx69Aienp69mvuYmBh4enri6tWrmDFjBubMmYPq6mqx5U+dOoVx48axtpWUlCAgIAChoaEoLS2Fra0t1q9f36txAIClpSUuXbrEBID/+9//4ujRo5gxYwZTJj09HRwOp9dt19TU4Oeff2YCwl3V19ejpaUFqqqqYtuora0Fh8Nh3RCwsbGBQCDo9Xi6IxAIcP/+fRQVFeGHH35ASkoKHj9+3Ks21NTUYGRkhL179+Lly5dobW3Fjh07oK6ujrFjxzLl9PT0hG6edCZubnJzc+Hq6iq2Xm1trcT5bG9vx4sXL1hlup7fs2fPQllZmXXN2dnZQUpKCiUlJWLb7urLL79Eeno6du/ejZ9//hnV1dXIzs7ucf2O8R45cgR8Ph8ODg5QV1fHxIkThVIuCAQC2NjY9Kpt4NW/cUOGDIGxsbHI/aKuv0ePHiEoKAjffvst5OTkRNbjcDhIT0/v9XgmTJiAU6dOAQDk5OQQGxuLsLAwFBcX49y5cygsLISlpaXIuk1NTXj+/DnrQ1EURVEURVEURVHvGxoQ7kNVVVVobW2Fh4cH9PT0YGpqipCQECgoKDBluFwudu/ejZEjR8LZ2Rlr167FV199xcpxOWrUKERHR8PQ0BA+Pj4YN26c0KrGrpYtWwZnZ2fw+XzExMTg7t27qKioAAAkJyfDyckJy5YtA5/PR0hIiFAO4vj4eAgEAoSEhIDP52Pp0qXw8PAQWq3n5+cHT09P8Pl8REREoLKyEnPmzIGDgwNMTEyYQEuHwMBA7N+/H01NTQCAy5cv49dff4Wfnx8AYOvWrTA3N0dsbCyMjY1hbm6O3bt3o6ioCLdu3erx3AsEAnh5ecHAwACxsbGoq6uTuCL37t270NLSYm1LSkqCo6MjwsPDwefzsWjRIjg4OPR4DB28vb2xdu1aWFtbo3///tDX14eNjQ0+//xzpoySkhKMjIx63fbRo0cxatQoobF3iIiIgJaWFuzs7ETub2xsREREBLy8vFhvp9TR0cHgwYN7PR5Jbt26hby8PKSmpmLSpEkYO3Ysdu3ahYaGhl61w+FwcPLkSfzyyy8YMGAAZGVlkZCQgPz8fKioqDDl9PX1MXDgQLHtiJqbpqYm5Ofniw2wnzlzBgcOHJCYszo+Ph51dXWsmxhdz+/Dhw+FVt9KS0tDVVUVDx8+FH/wXSQmJiIyMhIeHh4wMTHB9u3be72C+/Hjx6irq0NcXBwcHR1x/PhxuLu7w8PDAz/99BNTbvDgwdDR0elV2wB7BXtXoq4/QggEAgGCg4OFbtJ0ZmRk9Fqr1bW0tHD//n20t7ejsbERq1evRlJSEmxsbDBp0iSJuaU3btwIJSUl5qOtrd3r/imKoiiKoiiKoijqXaMB4T5kZmaGadOmwdTUFLNnz0ZqaiqePXsmVKbzCjgLCwvU1dXh/v37zLZRo0ax6gwePLjbVZWd63QE9jrq3Lx5ExMmTGCV7/q9vLwcVlZWrG1WVlYoLy8X24+GhgYAsFIcaGhooLGxkVlJ5+bmhn79+jGrGNPT02Fraws9PT0AwJUrV1BUVAQFBQXm07GysCP1RE90Hpe8vDwUFRUlzllDQ4NQvtTy8nJMnDiRtc3CwqLHY+hQXFyM2NhYpKSk4PLly8jKysKRI0ewbt06poy7uztu3LjR67YlBdvi4uKQmZmJ7OxskblgW1pa4OnpCUIItm3bxtq3d+9ebNy4sdfjkaS8vBzS0tKsVbzGxsYSX5gnCiEECxYsgLq6Ok6dOoXz58/Dzc0NLi4uqKqqYsoVFBQwq9O7Ejc3hYWFUFdXx8iRI4XqlJWVwdXVFdHR0bC3txfZbkZGBmJiYnDw4EFWwPd1z68ktbW1qKqqYl2j0tLSEoOoonTcfHJ1dcWSJUswevRorFixAjNnzsT27duZchs3bsTevXt71TYhBIcOHRJ5jYq7/pKTk/HixQux+aM73LhxQ2J6CHF4PB7a29vR1NSE+vp6aGhoID8/H0OHDkVwcDB2794t9uZTZGQkamtrmU/nf6cpiqIoiqIoiqIo6n1BA8J9qF+/fjhx4gTy8vIwYsQIJCcnw8jICHfu3OlVO/3792d953A4rBXE3dXpeFS9uzqvQ1Q/kvrmcrnw8fFBWloampubkZGRAX9/f6Z8XV0dXFxcUFpayvr89ttvmDx58muNq2Mcko5/4MCBQsH6t2XVqlWYO3cuAgMDYWpqCnd3d8TGxmLjxo1vdE6am5vFrmaNj49HXFwcjh8/LnRDAfhfMO7u3bs4ceIEa3Xw+66wsBCHDx9GZmYmrKysMGbMGKSkpIDH42HPnj3d1pc0N7m5uSLn8/r165g2bRrmzZuHqKgoke1mZmYiMDAQBw8eFLsiu4OmpqbQDYrW1lZUV1f/5S+JHDhwIKSlpTFixAjWdhMTE4l5pXvi/PnzaG1tFUrBIOn6KywsxNmzZyEjIwNpaWkYGBgAAMaNGwdfX983Gg/w6qWB8vLy4PF4UFVVxYIFC1jpPPT19fHpp5+KrCsjIwNFRUXWh6IoiqIoiqIoiqLeNzQg3Mc4HA6srKwQExODX375BVwul5Xj88qVK6xH5s+dOwcFBYV3+iiykZERLly4wNrW9buJiQlOnz7N2nb69GmhoNHrCAwMxMmTJ5GSksKk1OgwZswYXLt2DXp6ejAwMGB95OXl37hvcczNzXH9+nXWNhMTE6F8rufOnet12/X19ZCSYv8U+/XrBwBCLwDrjeLiYqioqMDMzIy1ffPmzVi3bh3y8/NFrhbtCMb99ttvOHnyJNTU1F57DL1hbGyM1tZWXLp0idl28+ZN1NTU9Kqd+vp6ABCaUykpqW4D7JLmpmM1a9f8wdeuXYOtrS18fX2Fcm132L9/P/z8/LB//344O3f/JnMLCwvU1NSw5qKwsBDt7e1Cq9LFUVJSwuDBg1nXaNf57Qkul4vx48fj5s2brO23bt2Crq5ur9rqKicnB87Ozsz1DnR//X311Ve4cuUKczPo6NGjAIADBw6Inf/eKCsrg7m5udD29PR05kkFiqIoiqIoiqIoivo7k+7rAfxfVlJSgoKCAtjb20NdXR0lJSV48uQJTExMmDLNzc0ICAhAVFQUKisrER0djdDQUKFg19u0cOFCTJ48GQkJCXBxcUFhYSHy8vJYq+SWL18OT09PmJubw87ODocOHUJWVhZOnjz5xv2bmJhg0qRJiIiIgL+/P3g8HrNvwYIFSE1NhZeXF8LDw6GqqoqKigpkZmZi586drMDS2+Tg4IDAwEC0tbUxfSxatAhWVlaIj4+Hq6srjh07hvz8fKG6paWlAF6tbn7y5AlKS0vB5XKZ4LmLiwsSEhJgbm6OiRMnoqKiAqtWrYKLiwvTV3Z2NiIjI1lpBe7du4fq6mrcu3cPbW1tTD8GBgZQUFAQuZp106ZNWL16NTIyMqCnp8fko+1Iv9HS0oKPP/4Yly9fxuHDh9HW1saUUVVVBZfLBQD4+PhgyJAhrLQR3R1nd4yMjODo6Ij58+dj27ZtkJaWxuLFi1nnH3iVX/fhw4dMzutff/0VAwYMgI6ODlRVVWFhYQEVFRX4+vpi9erV4PF4SE1NxZ07d1jB2GnTpsHd3Z1JG9Hd3Fy6dAn19fWwtrZm2igrK8PUqVPh4OCApUuXMnX69euHQYMGAXiVJsLX1xdJSUmYOHEiU4bH4zE5brueXxMTEzg6OiIoKAjbt29HS0sLQkND8cknn4jNBy1KWFgY4uLiYGhoCGNjYyQkJAgF2Ovq6pi5BIA7d+6gtLQUqqqqTE7g5cuX41//+hcmT54MW1tb5Ofn49ChQ6z835GRkXjw4AErbcT169fR3NyM6upqvHjxgrlGRo8eDeDViuu1a9cy5Xty/XXNU9yRc11fXx9Dhw5lthsbG2Pjxo1M2oieHCfw6gWS4lJ+UBRF/RNUxnV/Y5KiKIqiKIr6hyNUn7l+/TpxcHAggwYNIjIyMoTP55Pk5GRmv6+vL3F1dSWrV68mampqREFBgQQFBZHGxkamzJQpU0hYWBirXVdXV+Lr68t8B0Cys7MJIYTcuXOHACC//PILs//Zs2cEACkqKmK2ffPNN2TIkCGEx+MRNzc3sn79eqKpqcnqJyUlhQwfPpz079+f8Pl8snfvXtb+zv2K67uoqIgAIM+ePWPV3bVrFwFAzp8/LzRvt27dIu7u7kRZWZnweDxibGxMFi9eTNrb20XOia6uLtmyZYvYcRFCiJKSEklLSxPqq0NLSwvR0tIi+fn5QuMcOnQo4fF4xMXFhcTHxxMlJSWheej60dXVZbW9Zs0aoq+vT2RlZYm2tjYJCQlhzUlaWhrp+nP19fUV2XbHedTW1iYnTpxg1dHV1RVZJzo6mhDyv3MkqV1CXs1x52usJ8fZca7v3Lkjdp6rqqqIs7MzkZGRITo6OmTv3r1C5y86OlpkX53P34ULF4i9vT1RVVUlAwYMIJMmTSJHjx4VmouO4+7J3ERFRZE5c+aw2hA3ls7HPWXKFJFlOs+fqPP7559/Ei8vL6KgoEAUFRWJn58fefHihdCcd3fdhoWFEUVFRaKsrEyWLl1KfHx8iKurK1Om47xIGh8hr651AwMDIisrS8zMzMiPP/7I2u/r60umTJkiNMei2iaEkIqKCiIjI0Pq6uqY8j29/joT9e+KqLnpyXH+/vvvpH///uT+/fti57Q3amtrCQBSW1v7VtqjKIqiKIqiKIqiKEl6+ncoh5A3eCadeqcEAgFqamrw448/9vVQEBQUhBs3buDUqVN/SX/r1q3D999/j6tXr/4l/fXE119/jdzcXBw7dqyvh9Kty5cvY+rUqXjy5IlQvuS+kpaWhtjYWFy/fv29GVNvjBo1ClFRUfD09OzroQB4tcKVz+fj+vXrMDQ07Ovh9FpCQgJOnjzJpHx4H0RERODZs2f45ptv3kp7z58/h5KSEmpra2k+YYqiKIqiKIqiKOqd6+nfoTRlBCVSfHw8pk+fDnl5eeTl5WHPnj1ISUl55/3W1dWhsrISW7duxfr16995f70xf/581NTU4MWLFxgwYEBfD0ei1tZWJCcnv1eB16NHjyI2Nva9GlNPNTc346OPPoKTk1NfD4Vx9OhRzJs3728ZDAaAoUOHIjIysq+HwaKuro6lS5f29TAoiqIoiqIoiqIo6p2iK4TfY325QtjT0xPFxcV48eIFhg8fjoULFyI4OPid9ysQCLB//364ubkhIyPjneUEpiiKetfoCmGKoiiKoiiKoijqr9TTv0Pf3ZvJqDeWnp7ebTDYxsYGixcvlliGw+H0Oqh88OBBPH78GA0NDbh27dpfEgwGXh1zU1MTDhw48NrB4K5zoqenh8TExDce282bN6GpqYkXL16ILZOeng5lZeU37ov6n7d1/qhXBAIB3Nzc+noY753m5mbo6enh4sWLfT0UiqIoiqIoiqIoinqnaED4/4Cqqqr36lH3v9qFCxcwb968N24nMjISCxcu7FW6iKqqKnh7e4PP50NKSkps8D4xMRFGRkbg8XjQ1tbGkiVL0NjYKLHtDRs2wNLSEnJychKD0Hfv3gWPx0NdXR1SU1Px4YcfQkVFBSoqKrCzs8P58+dZ5bOysmBvbw81NTVwOByUlpb26FivXr2KDz/8ELKystDW1sbmzZt7VK+3vvnmG9jY2EBRUREcDgc1NTWs/cXFxeBwOCI/Fy5cENvuf/7zH7i4uEBLS6vbmyi2trbYuXMnrly5Ai8vL2hra4PH48HExARJSUmssllZWZg+fToGDRoERUVFWFhY9CgPdXV1NebMmQNFRUUoKysjICAAdXV13dbrrZ4ed3l5OWbNmgUlJSXIy8tj/PjxuHfvnth2GxsbIRAIYGpqCmlpaYlB6D179sDa2hotLS2IiIiAqakp5OXloaWlBR8fH/zxxx+s8rNmzYKOjg5kZWUxePBgzJ07V6iMKF9//TX09PQgKyuLiRMnsq59LpeLZcuWISIiQmRdGxubbtunKIqiKIqiKIqiqL8DmkP4/wBNTc2+HkKfGjRo0Bu3ce/ePRw+fBjJycm9qtfU1IRBgwYhKioKW7ZsEVkmIyMDK1aswO7du2FpaYlbt25BIBCAw+EgISFBbNvNzc2YPXs2LCwssGvXLrHlcnJyYGtrCwUFBRQXF8PLywuWlpaQlZXFpk2bYG9vj2vXrmHIkCEAgJcvX8La2hqenp4ICgrq0XE+f/4c9vb2sLOzw/bt2/Hrr7/C398fysrKbyUY31l9fT0cHR3h6OgoMgetpaUlqqqqWNtWrVqFgoICjBs3Tmy7L1++hJmZGfz9/eHh4SG2XHV1NU6fPo3MzEwcOXIE6urq+O6776CtrY0zZ85g3rx56NevH0JDQwG8CrhOnz4dsbGxUFZWRlpaGlxcXFBSUgJzc3Ox/cyZMwdVVVU4ceIEWlpa4Ofnh3nz5iEjI6O7KeqVnhz37du3YW1tjYCAAMTExEBRURHXrl2DrKys2Hbb2trA4/GwaNEi/Pvf/5Y4hpycHMyaNQv19fW4fPkyVq1aBTMzMzx79gxhYWGYNWsWa+Wura0tPv/8cwwePBgPHjzAsmXL8PHHH+PMmTNi+zhw4ACWLl2K7du3Y+LEiUhMTISDgwNu3rwJdXV1AK/m/LPPPsO1a9cwcuRI3Lp1C5cvX8Ynn3zCtHP58mX88ccfmDlzpsRjoiiKel/prTjS10N4JyrjnPt6CBRFURRFUX8bdIVwH/vhhx9gamoKHo8HNTU12NnZ4eXLlwD+92h3TEwMs7owODgYzc3NrDba29sRHh4OVVVVaGpqYs2aNaz9nVf9VVZWgsPhICsrC7a2tpCTk4OZmRnOnj3LqpOamgptbW3IycnB3d0dCQkJQqtQt23bBn19fXC5XBgZGeHbb78V6nfHjh2YOXMm5OTkYGJigrNnz6KiogI2NjaQl5eHpaUlbt++zYxNSkpK6JHtxMRE6Orqor29HQBQVlYGJycnKCgoQENDA3PnzsXTp0/FznHXlAMcDgc7d+6Eu7s75OTkYGhoiNzcXLH1gVcpNMzMzJigaYf09HTo6Ogw8/Tnn38K9Z2UlAQfHx8oKSmJbPvMmTOwsrKCt7c39PT0YG9vDy8vL6GVu13FxMRgyZIlMDU1lViuI9gGAPv27UNISAhGjx4NY2Nj7Ny5E+3t7SgoKGDKz507F6tXr4adnZ3Edjvbt28fmpubsXv3bowcORKffPIJFi1aJDGgLcrjx4/h4uICHo+HYcOGYd++fUJlFi9ejBUrVmDSpEki2+ByudDU1GQ+ampqyMnJgZ+fHzgcjti+nZycsH79eri7u0sc45EjRzBmzBhoaGjA398fSUlJmDJlCoYPH45PP/0Ufn5+yMrKYsonJiYiPDwc48ePh6GhIWJjY2FoaIhDhw6J7aO8vBz5+fnYuXMnJk6cCGtrayQnJyMzM7NHK2E7tLW1YenSpVBWVoaamhrCw8PRNW18T4575cqVmDFjBjZv3gxzc3Po6+tj1qxZTCBVFHl5eWzbtg1BQUESb0o1Njbi+PHjzOrjEydOwNPTE0ZGRpg0aRK2bt2KS5cusVYjL1myBJMmTYKuri4sLS2xYsUKnDt3Di0tLWL7SUhIQFBQEPz8/DBixAhs374dcnJy2L17N1NGRUUFVlZWyMzMBAAMHDgQRUVF8PT0RE1NDVavXo3IyEgMHz5cbD8URVEURVEURVEU9b6jAeE+VFVVBS8vL/j7+6O8vBzFxcXw8PBgBWwKCgqYffv370dWVhZiYmJY7ezZswfy8vIoKSnB5s2bsXbtWpw4cUJi3ytXrsSyZctQWloKPp8PLy8vtLa2AgBOnz6N4OBghIWFobS0FNOnT8eGDRtY9bOzsxEWFobPPvsMZWVlmD9/Pvz8/FBUVMQqt27dOvj4+KC0tBTGxsbw9vbG/PnzERkZiYsXL4IQwqyk1NPTg52dHdLS0lhtpKWlQSAQQEpKCjU1NZg6dSrMzc1x8eJF5Ofn49GjR/D09OzV3MfExMDT0xNXr17FjBkzMGfOHFRXV4stf+rUKaHVpSUlJQgICEBoaChKS0tha2uL9evX92ocwKsVrZcuXWICwP/9739x9OhRzJgxgymTnp4uMZgpTk1NDX7++WcmINxVfX09WlpaoKqq2qt2BQIB6xH6s2fPYvLkyeByucy2jtWXz54961W79+/fR1FREX744QekpKTg8ePHvRpbV7m5ufjzzz/h5+fH2s7hcJCenv5a7bm6uordX1tbK3E+29vb8eLFC1aZruf37NmzUFZWZl1zdnZ2kJKSQklJSY/H+uWXXyI9PR27d+/Gzz//jOrqamRnZ/e4fsd4jxw5Aj6fDwcHB6irq2PixIlCqSW6XhM9VVBQgCFDhsDY2Fjk/traWnA4HLFpUaqrq7Fv3z5YWlqif//+zPbO57e5uRmXLl1i3eSQkpKCnZ2d0M2wCRMm4NSpUwAAVVVV7NixA3Z2drhy5Qpu376NY8eOYcSIESLH0tTUhOfPn7M+FEVRFEVRFEVRFPW+oQHhPlRVVYXW1lZ4eHhAT08PpqamCAkJgYKCAlOGy+Uyqy6dnZ2xdu1afPXVV8xqWQAYNWoUoqOjYWhoCB8fH4wbN4614lOUZcuWwdnZGXw+HzExMbh79y4qKioAAMnJyXBycsKyZcvA5/MREhIilIM4Pj4eAoEAISEh4PP5WLp0KTw8PBAfH88q5+fnB09PT/D5fERERKCyshJz5syBg4MDTExMEBYWhuLiYqZ8YGAg9u/fj6amJgCvHs/+9ddfmWDe1q1bYW5ujtjYWBgbG8Pc3By7d+9GUVERbt261eO5FwgE8PLygoGBAWJjY1FXVydxRe7du3ehpaXF2paUlARHR0eEh4eDz+dj0aJFcHBw6PEYOnh7e2Pt2rWwtrZG//79oa+vDxsbG3z++edMGSUlJRgZGfW67aNHj2LUqFFCY+8QEREBLS2tXq0GBoDBgwdDR0eH+f7w4UNoaGiwynR8f/jwYY/avHXrFvLy8pCamopJkyZh7Nix2LVrFxoaGno1tq527doFBwcHDB06lLXdyMhI7KptcZqampCfny82wH7mzBkcOHBAYpqM+Ph41NXVsW5idD2/Dx8+FFp9Ky0tDVVV1R7PJ/BqdXJkZCQ8PDxgYmKC7du39/qYHz9+jLq6OsTFxcHR0RHHjx+Hu7s7PDw88NNPPzHlul4TPdV5BXtXjY2NiIiIgJeXl9DbUSMiIiAvLw81NTXcu3cPOTk5rP2dz+/Tp0/R1tYm8hrtOp9aWlq4e/cuAODZs2cICQnByZMnYWZmBn19fTg5OeHmzZsix7tx40YoKSkxH21t7Z5PBEVRFEVRFEVRFEX9RWhAuA+ZmZlh2rRpMDU1xezZs5Gamiq0mtLMzAxycnLMdwsLC9TV1eH+/fvMtlGjRrHqDB48uNtVlZ3rDB48GACYOjdv3sSECRNY5bt+Ly8vh5WVFWublZUVysvLxfbTEYzpnOJAQ0MDjY2NzEo6Nzc39OvXj1nFmJ6eDltbW+jp6QEArly5gqKiIigoKDCfjpWFHakneqLzuOTl5aGoqChxzhoaGoTypZaXl2PixImsbRYWFj0eQ4fi4mLExsYiJSUFly9fRlZWFo4cOYJ169YxZdzd3XHjxo1ety0p2BYXF4fMzExkZ2dLzAUrysaNG7F3795ej0eS8vJySEtLY+zYscw2Y2NjiS/M687vv/+OY8eOISAgQGjfjRs3uk0P0VVhYSHU1dUxcuRIoX1lZWVwdXVFdHQ07O3tRdbPyMhATEwMDh48yAr4vu75laS2thZVVVWsa1RaWlpiHmVROm4+ubq6YsmSJRg9ejRWrFiBmTNnYvv27Uy517kmCCE4dOiQyGu0paUFnp6eIIRg27ZtQvuXL1+OX375BcePH0e/fv3g4+PDerridc4vAPB4PNTX1wN49W/ihx9+iIMHD0JZWRlr167Fhg0bxN58ioyMRG1tLfPp/O80RVEURVEURVEURb0v6Evl+lC/fv1w4sQJnDlzBsePH0dycjJWrlyJkpISDBs2rMftdH5MGnj1qHTnFcTd1el4VL27Oq9DVD+S+uZyufDx8UFaWho8PDyQkZGBpKQkpnxdXR1cXFywadMmob46Atu9HVfHOCQd/8CBA3uV+qA3Vq1ahblz5yIwMBDAq4D5y5cvMW/ePKxcuRJSUq9336a5uRn5+fmslcYd4uPjERcXh5MnTwrdUHgdmpqaePToEWtbx/e+fKlhWloa1NTUxAbFeys3N1dkW9evX8e0adMwb948REVFiaybmZmJwMBAfP/9992uyNbU1BS6QdHa2orq6uq/fD4HDhwIaWlpoTQJJiYm+Pnnn9+o7fPnz6O1tRWWlpas7R3B4Lt376KwsFBodXDHuAYOHAg+nw8TExNoa2vj3LlzIm/KDBw4EP369RN5jXadz+rqauZFlEZGRkIr88eMGYMxY8aIPB4ZGRnIyMh0f+AURVEURVEURVEU1YfoCuE+xuFwYGVlhZiYGPzyyy/gcrmsHJ9XrlxhPTJ/7tw5KCgovNNHkY2MjHDhwgXWtq7fTUxMcPr0ada206dPi82t2RuBgYE4efIkUlJSmJQaHcaMGYNr165BT08PBgYGrI+8vPwb9y2Oubk5rl+/ztpmYmIilM/13LlzvW67vr5eKOjbr18/ABB6AVhvFBcXQ0VFBWZmZqztmzdvxrp165Cfn9/r1aLiWFhY4D//+Q/rpV4nTpyAkZERVFRUetSGsbExWltbcenSJWbbzZs3UVNT81pjIoQgLS0NPj4+QjcAXre9Q4cOCeUPvnbtGmxtbeHr6yuUa7vD/v374efnh/3798PZufu3oFtYWKCmpoY1F4WFhWhvbxdalS6OkpISBg8ezLpGu85vT3C5XIwfP14oTcKtW7egq6vbq7a6ysnJgbOzM3O9A/8LBv/22284efIk1NTUum2n42ZOR6qZrrhcLsaOHctKpdPxMsWuAeSysjKYm5sLtdE5tQ1FURRFURRFURRF/Z3RFcJ9qKSkBAUFBbC3t4e6ujpKSkrw5MkTmJiYMGWam5sREBCAqKgoVFZWIjo6GqGhoa+9arQnFi5ciMmTJyMhIQEuLi4oLCxEXl4e66VXy5cvh6enJ8zNzWFnZ4dDhw4hKysLJ0+efOP+TUxMMGnSJERERMDf3x88Ho/Zt2DBAqSmpsLLywvh4eFQVVVFRUUFMjMzsXPnTlZg6W1ycHBAYGAg2tramD4WLVoEKysrxMfHw9XVFceOHUN+fr5Q3dLSUgCvVjc/efIEpaWl4HK5TPDcxcUFCQkJMDc3x8SJE1FRUYFVq1bBxcWF6Ss7OxuRkZGstAL37t1DdXU17t27h7a2NqYfAwMDKCgoiFzNumnTJqxevRoZGRnQ09Nj8qd2pN8AwLT5xx9/AAATCNTU1GRWU0ZGRuLBgwdMigBvb2/ExMQgICAAERERKCsrQ1JSErZs2dLjOTYyMoKjoyPmz5+Pbdu2QVpaGosXL2adf+BVft2HDx8yOa9//fVXDBgwADo6OqwXtRUWFuLOnTvMyuuujI2NsXHjRiatQF1dHdMmANy5cwelpaVQVVWFjo4OLl26hPr6elhbWzNlysrKMHXqVDg4OGDp0qXMfPbr149ZZZqRkQFfX18kJSVh4sSJTBkej8fkuO16fk1MTODo6IigoCBs374dLS0tCA0NxSeffCI2H7QoYWFhiIuLg6GhIYyNjZGQkCAUYO/uuIFXv/d//etfmDx5MmxtbZGfn49Dhw6xgqRdrwng1crp5uZmVFdX48WLF8w1Onr0aACvVlyvXbuWKd/S0oKPP/4Yly9fxuHDh9HW1sbMl6qqKrhcLkpKSnDhwgVYW1tDRUUFt2/fxqpVq6Cvr88K7nY9v0uXLoWvry/GjRuHCRMmIDExES9fvhR62eCpU6dY6VooiqL+aSrjur8xSVEURVEURf3DEarPXL9+nTg4OJBBgwYRGRkZwufzSXJyMrPf19eXuLq6ktWrVxM1NTWioKBAgoKCSGNjI1NmypQpJCwsjNWuq6sr8fX1Zb4DINnZ2YQQQu7cuUMAkF9++YXZ/+zZMwKAFBUVMdu++eYbMmTIEMLj8YibmxtZv3490dTUZPWTkpJChg8fTvr370/4fD7Zu3cva3/nfsX1XVRURACQZ8+eseru2rWLACDnz58Xmrdbt24Rd3d3oqysTHg8HjE2NiaLFy8m7e3tIudEV1eXbNmyRey4CCFESUmJpKWlCfXVoaWlhWhpaZH8/HyhcQ4dOpTweDzi4uJC4uPjiZKSktA8dP3o6uqy2l6zZg3R19cnsrKyRFtbm4SEhLDmJC0tjXT9ufr6+opsu+M8amtrkxMnTrDq6OrqiqwTHR0t1JekMr6+vmTKlCmstq9cuUKsra2JjIwMGTJkCImLi2Pt7zjXd+7cETvPVVVVxNnZmcjIyBAdHR2yd+9eofMXHR0tcnxdz5+XlxextLQU21fXOh3j6/rp+C1FRUWROXPmsNoQN5bO53fKlCkS2yVE9Pn9888/iZeXF1FQUCCKiorEz8+PvHjxQuIxdNXS0kLCwsKIoqIiUVZWJkuXLiU+Pj7E1dW1x8fdYdeuXcTAwIDIysoSMzMz8uOPP7L2i7omxF1vhBBSUVFBZGRkSF1dHVO+498ISdf11atXia2tLVFVVSUyMjJET0+PBAcHk99//73buUlOTiY6OjqEy+WSCRMmkHPnzrH2nzlzhigrK5P6+nqxc9obtbW1BACpra19K+1RFEVRFEVRFEVRlCQ9/TuUQ8gbPJNOvVMCgQA1NTX4/+zde1zO9/8/8MeVqa5KJzqSUroqVskOVD4U6SCtwz76rkxdJfRLhDlFJFFmLZHlEEqbmO1T06gsqc1IpIUOJBNm5bBOEiW9f3906/3x7urq4JTt87zfbtcf1/v9fB3er/c1u/W8Xtfz/cMPP/T3VDBnzhxcuXIFp06deiPjhYeH47vvvsOlS5feyHi98dVXXyEtLQ3Hjx/v76n0qLCwEJMnT8b9+/dfSbmEVyEhIQEREREoLS19a+bUFyYmJggJCYG7u3t/TwVA+05egUCA0tJS6Ovr9/d0+iw6OhonTpxAenp6f0+F9X//938wNTXtsu72i2hoaICCggLq6+u7rINMCCGEEEIIIYS8Sr39O5RKRpAuRUVFYerUqZCVlUVGRgb279+PuLi41z5uY2MjKisrsX37dmzYsOG1j9cX8+bNQ11dHR4+fIhBgwb193S61draitjY2Lcq8Zqeno6IiIi3ak691dLSgo8//hgODg79PRVWeno65s6d+7dMBgPAsGHDEBwc3N/TYLW0tMDY2BiLFy/u76kQQgghhBBCCCGvFe0Qfov15w5hd3d35Obm4uHDh9DV1cWCBQvg7+//2scVCoU4ePAgXFxckJyc/NpqAhNCyOtGO4QJIYQQQgghhLxJvf079PU9mYy8tMTExB6TwVZWVli0aFG3MTwer89J5cOHD+PevXt4/PgxSkpK3kgyGGi/5ubmZnz77bcvnAzuvCY6OjqIiYl56bldvXoV6urqePjwodiYxMREKCoqvvRY5L9e5PNLxBMKhXBxcenvabx1WlpaoKOjg4KCgv6eCiGEEEIIIYQQ8lpRQvh/QFVV1Vv1U/c37fz585g7d+5L9xMcHIwFCxb0qVxEVVUVPD09IRAIICEhITZ5HxMTAwMDA/D5fGhpaWHx4sV48uRJt31v3LgRFhYWkJGR6TYJffPmTfD5fDQ2NiI+Ph7/+te/oKSkBCUlJdjY2ODcuXOceIZhsHbtWmhoaIDP58PGxgbXrl3rdi4pKSmYOnUqVFRUIC8vD3Nz89dWa7k3133+/HlMmTIFioqKUFJSgp2dHS5evNhtv5GRkfjggw8waNAgqKqqwsXFBVevXu0ydsSIEThx4gRyc3Ph7OwMDQ0NyMrKYsyYMThw4IBI/HfffQdDQ0NIS0vD2Ni4V3VzFy5ciPfeew9SUlIYM2ZMj/Ev6pdffoGTkxM0NTW7Tb6XlZXho48+goKCAmRlZfHBBx/g1q1bYvt98uQJhEIhjI2N8c4773SbhN6/fz8mTJiAp0+fYsWKFTA2NoasrCw0NTXh5eWFP//8k42trKzE7NmzMWLECPD5fOjp6SE0NBQtLS3dXmdP91dSUhJLly7FihUrumxvZWXVbf+EEEIIIYQQQsjfBdUQ/h+grq7e31PoVyoqKi/dx61bt3D06FHExsb2qV1zczNUVFQQEhKCLVu2dBmTnJyMlStXYt++fbCwsEB5eTmEQiF4PB6io6PF9t3S0oIZM2bA3Nwce/fuFRt35MgRWFtbQ05ODrm5ufDw8ICFhQWkpaXx+eefw9bWFiUlJRg6dCgAYPPmzdi2bRv279+PESNGYM2aNbCzs0NpaSmkpaW7HOOXX37B1KlTERERAUVFRSQkJMDJyQn5+fkwMzPrw4r1rKfrbmxshL29PT766CPExcWhtbUVoaGhsLOzw+3bt8XWMP75558xf/58fPDBB2htbcWqVatga2uL0tJSyMrKsnGXLl1CbW0tJk2ahC+++AImJiZYsWIF1NTUcPToUXh5eUFBQQHTp08HAJw5cwYeHh6IjIzE9OnTkZycDBcXFxQWFuLdd9/t9lp9fX2Rn5//Wh+u+OjRI5iamsLX1xdubm5dxly/fh0TJkzA7NmzERYWBnl5eZSUlIj9PADAs2fPwOfzsXDhQvznP//pdg5HjhzBRx99hKamJhQWFmLNmjUwNTVFbW0tgoKC8NFHH7E7d69cuYK2tjbs2rULI0eORHFxMebMmYNHjx4hKipK7Bi9ub8zZ87EZ599hpKSEowePRrl5eUoLCzEJ598wvZTWFiIP//8k72/hBDyd6Oz8lh/T4EQEZWbHPt7CoQQQsj/FNoh3M++//57GBsbg8/nY/DgwbCxscGjR48A/Pen3WFhYezOS39/f5GdcG1tbVi+fDmUlZWhrq6OdevWcc4/v+uvsrISPB4PKSkpsLa2hoyMDExNTZGXl8dpEx8fDy0tLcjIyMDV1RXR0dEiuzF37NgBPT09SEpKwsDAAF9//bXIuLt27cL06dMhIyMDIyMj5OXloaKiAlZWVpCVlYWFhQWuX7/Ozk1CQkLkJ9sxMTHQ1tZGW1sbAKC4uBgODg6Qk5ODmpoaZs2ahQcPHohd484lI3g8Hvbs2QNXV1fIyMhAX18faWlpYtsD7SU0TE1N2aRph8TERAwfPpxdp7/++ktk7K1bt7JJwq6cOXMGlpaW8PT0hI6ODmxtbeHh4SGyc7ezsLAwLF68GMbGxt3GdSTbAODAgQMICAjAmDFjYGhoiD179qCtrQ3Z2dkA2ncHx8TEICQkBM7OzjAxMUFSUhL+/PPPbss2xMTEYPny5fjggw+gr6+PiIgI6Ovr48cff+x2bp1du3YNEydOhLS0NEaNGoWsrKw+X/eVK1dQU1OD9evXw8DAAKNHj0ZoaCju3r2Lmzdvih07MzMTQqEQo0ePhqmpKRITE3Hr1i1cuHCBE3fkyBHY29tj4MCBWLVqFcLDw2FhYQE9PT0EBQXB3t4eKSkpbPzWrVthb2+PZcuWwcjICOHh4Rg7diy2b9/e7Vps27YN8+fPh66ubrdx3Xn27BmWLFkCRUVFDB48GMuXL0fnsvEODg7YsGEDXF1dxfazevVqTJs2DZs3b4aZmRn09PTw0UcfQVVVVWwbWVlZ7NixA3PmzOn2S6knT57gp59+YncfZ2Vlwd3dHQYGBhg/fjy2b9+OCxcusLuR7e3tkZCQAFtbW+jq6uKjjz7C0qVLOWveld7cXyUlJVhaWuLQoUMAgCFDhiAnJwfu7u6oq6vD2rVrERwc/FL3hBBCCCGEEEII6W+UEO5HVVVV8PDwgK+vL8rKypCbmws3NzdOwiY7O5s9d/DgQaSkpCAsLIzTz/79+yErK4v8/Hxs3rwZ69ev7zKR9rzVq1dj6dKlKCoqgkAggIeHB1pbWwEAp0+fhr+/P4KCglBUVISpU6di48aNnPapqakICgrCZ599huLiYsybNw8+Pj7IycnhxIWHh8PLywtFRUUwNDSEp6cn5s2bh+DgYBQUFIBhGAQGBgJoT57a2NggISGB00dCQgKEQiEkJCRQV1eHyZMnw8zMDAUFBcjMzMTdu3fh7u7ep7UPCwuDu7s7Ll26hGnTpmHmzJmoqakRG3/q1Cm8//77nGP5+fmYPXs2AgMDUVRUBGtra2zYsKFP8wAACwsLXLhwgU0A//7770hPT8e0adPYmMTERPB4vD73XVdXh19//ZVNCHfW1NSEp0+fQllZGQBw48YNVFdXw8bGho1RUFDAuHHjOF8aWFlZQSgUih23ra0NDx8+ZPvtjba2Nri5uUFSUhL5+fnYuXOn2J/vd8fAwACDBw/G3r170dLSgsePH2Pv3r0wMjKCjo4OG8fj8ZCYmCi2n/r6egAQuYa0tDQ4Ozt32+75Nnl5eZz1BAA7OzvOeq5bt44zt1flyy+/RGJiIvbt24dff/0VNTU1SE1N7VMfbW1tOHbsGAQCAezs7KCqqopx48aJfEEgFApfqKxCdnY2hg4dCkNDwy7P19fXg8fjdVsWpfOaAy9+fz/88EOcOnWKPbdr1y7Y2Njg4sWLuH79Oo4fP45Ro0Z12WdzczMaGho4L0IIIYQQQggh5G1DCeF+VFVVhdbWVri5uUFHRwfGxsYICAiAnJwcGyMpKYl9+/Zh9OjRcHR0xPr167Ft2zZ2tywAmJiYIDQ0FPr6+vDy8sL777/P7vgUZ+nSpXB0dIRAIEBYWBhu3ryJiooKAEBsbCwcHBywdOlSCAQCBAQEiNQgjoqKglAoREBAAAQCAZYsWQI3NzeRn2z7+PjA3d0dAoEAK1asQGVlJWbOnAk7OzsYGRkhKCgIubm5bLyfnx8OHjyI5uZmAO0/z758+TJ8fHwAANu3b4eZmRkiIiJgaGgIMzMz7Nu3Dzk5OSgvL+/12guFQnh4eGDkyJGIiIhAY2Njtztyb968CU1NTc6xjp2fy5cvh0AgwMKFC2FnZ9frOXTw9PTE+vXrMWHCBAwcOBB6enqwsrLCqlWr2BgFBQUYGBj0ue/09HSYmJiIzL3DihUroKmpySYsq6urAQBqamqcODU1NfYcAAwfPhwaGhpix42KikJjY2OfEvUnTpzAlStXkJSUBFNTU0ycOBERERG9bt9h0KBByM3NxTfffAM+nw85OTlkZmYiIyMD77zz3yo5BgYGYndtt7W1YdGiRbC0tOSUdbhz5w4uXboktib34cOHcf78efbzCrSvaU/rOWTIEOjp6fX5WnsSExOD4OBguLm5wcjICDt37hR7zeLcu3cPjY2N2LRpE+zt7fHTTz/B1dUVbm5u+Pnnn9k4DQ0NDB8+vM9zfH4He2dPnjzBihUr4OHhIfbpqBUVFYiNjcW8efM4x1/k/gKApqYmu5O8trYWAQEBOHHiBExNTaGnpwcHBwextaUjIyOhoKDAvrS0tLq9dkIIIYQQQgghpD9QQrgfmZqaYsqUKTA2NsaMGTMQHx+P2tpakRgZGRn2vbm5ORobG3H79m32mImJCaeNhoYG7t271+3Yz7fpSOx1tLl69So+/PBDTnzn92VlZbC0tOQcs7S0RFlZmdhxOpJiz//UX01NDU+ePGF30rm4uGDAgAHsLsbExERYW1uzuycvXryInJwcyMnJsa+OnYUdpSd64/l5ycrKQl5evts1e/z4sUi91LKyMowbN45zzNzcvNdz6JCbm4uIiAjExcWhsLAQKSkpOHbsGMLDw9kYV1dXXLlypc99d5ds27RpEw4dOoTU1NRua8F2JSkpCZGRkV2eS05ORlhYGA4fPtxtSYHOysrKoKWlxUlev8h6Pn78GLNnz4alpSXOnj2L06dP491334WjoyMeP37Mxl25ckVsmYT58+ejuLiYLR3QIS0tDRMmTOhyt2pOTg58fHwQHx+P0aNH92nOgYGBPX6J01f19fWoqqrifEbfeecdkZ3uPen48snZ2RmLFy/GmDFjsHLlSkyfPh07d+5k4yIjI5GUlNSnvhmGwY8//tjlZ/Tp06dwd3cHwzDYsWNHl+3v3LkDe3t7zJgxA3PmzOGce5H7CwB8Ph9NTU0A2v9N/Ne//oXDhw9DUVER69evx8aNG8V++RQcHIz6+nr29fy/04QQQgghhBBCyNuCHirXjwYMGICsrCycOXMGP/30E2JjY7F69Wrk5+djxIgRve6n80OyeDweZwdxT206ShH01OZFdDVOd2NLSkrCy8sLCQkJcHNzQ3JyMrZu3crGNzY2wsnJCZ9//rnIWN3tWO1uXh3z6O76hwwZIpKsf1XWrFmDWbNmwc/PD0B7wvzRo0eYO3cuVq9eDQmJF/vepqWlBZmZmZydxh2ioqKwadMmnDhxgpMc76j1evfuXc563r17F2PGjOlxzEOHDsHPzw/fffedSJmENyU5ORmVlZXIy8tj1y45ORlKSko4cuQI5wFhXQkMDMTRo0fxyy+/YNiwYZxzaWlpXSYvf/75Zzg5OWHLli3w8vLinFNXV8fdu3c5x+7evfu3edjjkCFD8M4774iUSTAyMsKvv/76Un2fO3cOra2tsLCw4BzvSAbfvHkTJ0+e7HJ38J9//glra2tYWFhg9+7dvR6zu/sLADU1NeyDKA0MDER25o8dOxZjx47tsm8pKSlISUn1ei6EEEIIIYQQQkh/oB3C/YzH48HS0hJhYWH47bffICkpyanxefHiRc6uxrNnz0JOTu61/hTZwMAA58+f5xzr/N7IyAinT5/mHDt9+rTY2pp94efnhxMnTiAuLo4tqdFh7NixKCkpgY6ODkaOHMl5ycrKvvTY4piZmaG0tJRzzMjICPn5+ZxjZ8+e7XPfTU1NIknfAQMGAIDIA8D6Ijc3F0pKSjA1NeUc37x5M8LDw5GZmSmyW3TEiBFQV1fn7FZtaGhAfn5+j7t1Dx48CB8fHxw8eBCOjn1/UrSRkRFu376Nqqoq9tjLrOfzNZc73neX9O+oZ52amoqTJ0+KfCnT2NiInJwckfrBubm5cHR0xOeff465c+eK9Gtubi6y+zcrK+uFdj/3hYKCAjQ0NDif0dbWVpGH5PVEUlISH3zwgUiZhPLycmhra7/UHI8cOQJHR0f28w78Nxl87do1nDhxAoMHDxZpd+fOHVhZWeG9995DQkJCr7406en+diguLoaZmZnI8edL2xBCCCGEEEIIIX9ntEO4H+Xn5yM7Oxu2trZQVVVFfn4+7t+/DyMjIzampaUFs2fPRkhICCorKxEaGorAwMAX3jXaGwsWLMDEiRMRHR0NJycnnDx5EhkZGZwE27Jly+Du7g4zMzPY2Njgxx9/REpKCk6cOPHS4xsZGWH8+PFYsWIFfH19wefz2XPz589HfHw8PDw8sHz5cigrK6OiogKHDh3Cnj17OImlV8nOzg5+fn549uwZO8bChQthaWmJqKgoODs74/jx48jMzBRpW1RUBKA9oXj//n0UFRVBUlKSTZ47OTkhOjoaZmZmGDduHCoqKrBmzRo4OTmxY6WmpiI4OJhTNuLWrVuoqanBrVu38OzZM3ackSNHQk5OrsvdrJ9//jnWrl2L5ORk6OjosHVsO8pv8Hg8LFq0CBs2bIC+vj5GjBiBNWvWQFNTEy4uLmw/Xl5eGDp0KFs2Ijk5Gd7e3ti6dSvGjRvH9svn83tds9bGxgYCgQDe3t744osv0NDQgNWrV4vE9XTdU6dOxbJlyzB//nwsWLAAbW1t2LRpE9555x1YW1uz/RgaGiIyMpItKzB//nwkJyfjyJEjGDRoEHsNCgoK4PP5yMzMhEAg4Dz8LScnB9OnT0dQUBA+/vhjto2kpCT7sLKgoCBMmjQJX375JRwdHXHo0CEUFBRwdrVu374dqampnMRxRUUFGhsbUV1djcePH7PXOWrUKEhKSvZqTYOCgrBp0ybo6+vD0NAQ0dHRqKur48Q0Njay9cOB9gcLFhUVQVlZma0JvGzZMvzf//0fJk6cCGtra2RmZuLHH3/kJEmDg4Nx584dTtmI0tJStLS0oKamBg8fPmSvoWO3eVpaGtavX8/GP336FP/+979RWFiIo0eP4tmzZ+yaKisrQ1JSkk0Ga2trIyoqCvfv32fbP7/ruq/3t8OpU6c45VoIIeSfpnJT37+0JYQQQggh/zAM6TelpaWMnZ0do6KiwkhJSTECgYCJjY1lz3t7ezPOzs7M2rVrmcGDBzNycnLMnDlzmCdPnrAxkyZNYoKCgjj9Ojs7M97e3ux7AExqairDMAxz48YNBgDz22+/sedra2sZAExOTg57bPfu3czQoUMZPp/PuLi4MBs2bGDU1dU548TFxTG6urrMwIEDGYFAwCQlJXHOPz+uuLFzcnIYAExtbS2n7d69exkAzLlz50TWrby8nHF1dWUUFRUZPp/PGBoaMosWLWLa2tq6XBNtbW1my5YtYufFMAyjoKDAJCQkiIzV4enTp4ympiaTmZkpMs9hw4YxfD6fcXJyYqKiohgFBQWRdej80tbW5vS9bt06Rk9Pj5GWlma0tLSYgIAAzpokJCQwnf9z9fb27rLvjvuopaXFZGVlcdpoa2t32SY0NJSNaWtrY9asWcOoqakxUlJSzJQpU5irV69y+pk0aRLnMzZp0qQu+30+pqtr6Ozq1avMhAkTGElJSUYgEDCZmZki96un62YYhvnpp58YS0tLRkFBgVFSUmImT57M5OXlccYCwLnnXfX5fMynn37KrF69ulf3YNKkSZy4w4cPMwKBgJGUlGRGjx7NHDt2jHM+NDSU85nobk1v3Lgh9ho6e/r0KRMUFMTIy8szioqKzJIlSxgvLy/G2dmZjen4b7C7e8cw7Z/1kSNHMtLS0oypqSnzww8/iKxF5+sW93ljGIapqKhgpKSkmMbGRja+49+I7u5vx+dIXL/i1qan+8swDHPmzBlGUVGRaWpqErumfVFfX88AYOrr619Jf4QQQgghhBBCSHd6+3coj2Fe4jfp5LUSCoWoq6vDDz/80N9TwZw5c3DlyhWcOnXqjYwXHh6O7777DpcuXXoj4/XGV199hbS0NBw/fry/p9KjwsJCTJ48Gffv3xepl9xfQkND8fPPP/8tf3rf2toKNTU1ZGRkiDxgsb/cuHEDAoEApaWl0NfX7+/p9Fl0dDROnDiB9PT0/p4K6//+7/9gamraZd3tF9HQ0AAFBQXU19d3WQeZEEIIIYQQQgh5lXr7dyiVjCBdioqKwtSpUyErK4uMjAzs378fcXFxr33cxsZGVFZWYvv27diwYcNrH68v5s2bh7q6Ojx8+BCDBg3q7+l0q7W1FbGxsW9NMhgAMjIysH379v6exgupqanB4sWL8cEHH/T3VFjp6emYO3fu3zIZDADDhg1DcHBwf0+D1dLSAmNjYyxevLi/p0IIIYQQQgghhLxWtEP4LdafO4Td3d2Rm5uLhw8fQldXFwsWLIC/v/9rH1coFOLgwYNwcXFBcnLya6sJTAghrxvtECaEEEIIIYQQ8ib19u/Q1/dkMvLSEhMT+61cxOHDh3Hv3j08fvwYJSUlbyQZDLRfc3NzM7799tt+SQZbWVlh0aJF3cbweLy3oozHm9J5TXR0dBATE/PS/V69ehXq6up4+PCh2JjExEQoKiq+9Fjkv17V/funyczMxJgxY9DW1tbfUyGEEEIIIYQQQl4rSggT0kdVVVVwcHDo72n0m/Pnz2Pu3Lkv3U9wcDAWLFjQp/IbVVVV8PT0hEAggISEhNjkfUxMDAwMDMDn86GlpYXFixfjyZMn3fa9ceNGWFhYQEZGptsk9M2bN8Hn89HY2Ij4+Hj861//gpKSEpSUlGBjY4Nz585x4hmGwdq1a6GhoQE+nw8bGxtcu3btlVznq7B7925YWVlBXl4ePB4PdXV1IjHl5eVwdnbGkCFDIC8vjwkTJiAnJ6fbfnuzNh2sra2xZ88eXLx4ER4eHtDS0gKfz4eRkRG2bt0qEp+bm4uxY8dCSkoKI0eORGJiYo/XWVNTg5kzZ0JeXh6KioqYPXs2Ghsb2fP29vYYOHAgDhw4INK2srISQqGwxzEIIYQQQgghhJC/A6ohTEgfqaur9/cU+pWKispL93Hr1i0cPXoUsbGxfWrX3NwMFRUVhISEYMuWLV3GJCcnY+XKldi3bx8sLCxQXl4OoVAIHo+H6OhosX23tLRgxowZMDc3x969e8XGHTlyBNbW1pCTk0Nubi48PDxgYWEBaWlpfP7557C1tUVJSQmGDh0KANi8eTO2bduG/fv3Y8SIEVizZg3s7OxQWloKaWnpF77OV6WpqQn29vawt7cXW9N3+vTp0NfXx8mTJ8Hn8xETE4Pp06fj+vXrYv976M3aAO2J2tOnT+PQoUM4duwYVFVV8c0330BLSwtnzpzB3LlzMWDAAAQGBgJof5ieo6Mj/P39ceDAAWRnZ8PPzw8aGhqws7MTe50zZ85EVVUVsrKy8PTpU/j4+GDu3LlITk5mY4RCIbZt24ZZs2YBAA4cOIDx48ezv1ZgGAZxcXHw9PSEkpJS3xaaEELeEjorj/X3FP6nVW5y7O8pEEIIIYTQDmHyz/L999/D2NgYfD4fgwcPho2NDR49egSgPdnj4uKCsLAwqKioQF5eHv7+/mhpaeH00dbWhuXLl0NZWRnq6upYt24d5/zzJSMqKyvB4/GQkpICa2tryMjIwNTUFHl5eZw28fHx0NLSgoyMDFxdXREdHS2yC3XHjh3Q09ODpKQkDAwM8PXXX4uMu2vXLkyfPh0yMjIwMjJCXl4eKioqYGVlBVlZWVhYWOD69evs3CQkJFBQUMDpJyYmBtra2uxP44uLi+Hg4AA5OTmoqalh1qxZePDggdg17lxygMfjYc+ePXB1dYWMjAz09fWRlpYmtj3QXpLE1NSUkxgE2ktEDB8+nF2nv/76S2TsrVu3wsvLCwoKCl32febMGVhaWsLT0xM6OjqwtbWFh4eH2N2pHcLCwrB48WIYGxt3G3fkyBF89NFHANoThgEBARgzZgwMDQ2xZ88etLW1ITs7G0B7AjEmJgYhISFwdnaGiYkJkpKS8Oeff3ZbdqQ319kb9+7dg5OTE/h8PkaMGNHl7tdFixZh5cqVGD9+fJd9PHjwANeuXcPKlSthYmICfX19bNq0CU1NTSguLhY7dk9r0+HYsWMYO3Ys1NTU4Ovri61bt2LSpEnQ1dXFp59+Ch8fH6SkpLDxO3fuxIgRI/Dll1/CyMgIgYGB+Pe//91t4rysrAyZmZnYs2cPxo0bhwkTJiA2NhaHDh3Cn3/+ycY5OTmhoKCA/W9oxIgR8Pb2xs6dO/HHH3/A3t4ed+7cgZSUlNixCCGEEEIIIYSQtx0lhMk/RlVVFTw8PODr64uysjLk5ubCzc0Nzz83MTs7mz138OBBpKSkICwsjNPP/v37ISsri/z8fGzevBnr169HVlZWt2OvXr0aS5cuRVFREQQCATw8PNDa2goAOH36NPz9/REUFISioiJMnToVGzdu5LRPTU1FUFAQPvvsMxQXF2PevHnw8fER+Vl+eHg4vLy8UFRUBENDQ3h6emLevHkIDg5GQUEBGIZhd1Lq6OjAxsYGCQkJnD4SEhIgFAohISGBuro6TJ48GWZmZigoKEBmZibu3r0Ld3f3Pq19WFgY3N3dcenSJUybNg0zZ85ETU2N2PhTp07h/fff5xzLz8/H7NmzERgYiKKiIlhbW2PDhg19mgcAWFhY4MKFC2wC+Pfff0d6ejqmTZvGxiQmJoLH4/W577q6Ovz6669sQrizpqYmPH36FMrKygDad7NWV1fDxsaGjVFQUMC4ceM4XxpYWVm9lpIEQqEQt2/fRk5ODr7//nvExcXh3r17fepj8ODBMDAwQFJSEh49eoTW1lbs2rULqqqqeO+999g4HR0dkS9Pntd5bTqkpaXB2dlZbLv6+npOm7y8PM56AoCdnR1nPTvf37y8PCgqKnI+czY2NpCQkEB+fj57bPjw4VBTU8OpU6cAtH+WcnJykJeXh9zcXCxatAgRERGQkZHpcq7Nzc1oaGjgvAghhBBCCCGEkLcNlYwg/xhVVVVobW2Fm5sbtLW1AUBkt6ekpCT27dsHGRkZjB49GuvXr8eyZcsQHh4OCYn270dMTEwQGhoKANDX18f27duRnZ2NqVOnih176dKlcHRs/wlgWFgYRo8ejYqKChgaGiI2NhYODg5YunQpAEAgEODMmTM4evQo2z4qKgpCoRABAQEAgCVLluDs2bOIioqCtbU1G+fj48Mma1esWAFzc3O2BAEABAUFwcfHh4338/ODv78/oqOjISUlhcLCQly+fBlHjhwBAGzfvh1mZmaIiIhg2+zbtw9aWlooLy+HQCDo1doLhUJ4eHgAACIiIrBt2zacO3cO9vb2XcbfvHlTJCG8detW2NvbY/ny5Zx1yszM7NUcOnh6euLBgweYMGECGIZBa2sr/P39sWrVKjZGQUEBBgYGfeoXANLT02FiYgJNTc0uz69YsQKamppswrK6uhoAoKamxolTU1NjzwHtiUgNDY0+z6c75eXlyMjIwLlz5/DBBx8AAPbu3QsjI6M+9cPj8XDixAm4uLhg0KBBkJCQgKqqKjIzMzllE/T09DBkyBCx/XReG6A9gZqZmSk2kXzmzBl8++23OHbsvz9vrq6u7nI9Gxoa8PjxY/D5fJH7W11dDVVVVU6bd955B8rKypz7AACampq4efMmgPYvKZYtWwYLCwsMHDgQMTExyMvLw6pVq7os9xEZGSnyBRMhhBBCCCGEEPK2oR3C5B/D1NQUU6ZMgbGxMWbMmIH4+HjU1taKxDy/u8/c3ByNjY24ffs2e8zExITTRkNDo8ddlc+36UjsdbS5evUqPvzwQ0585/dlZWWwtLTkHLO0tERZWZnYcTqSYs8nvdXU1PDkyRN2Z6KLiwsGDBiA1NRUAO07J62traGjowMAuHjxInJyciAnJ8e+DA0NAYD92XxvPD8vWVlZyMvLd7tmjx8/FkmolZWVYdy4cZxj5ubmvZ5Dh9zcXERERCAuLg6FhYVISUnBsWPHEB4ezsa4urriypUrfe77+XIRnW3atAmHDh1Camqq2NrA4iQlJSEyMrLP8+lOWVkZ3nnnHc4uXkNDw24fmNcVhmEwf/58qKqq4tSpUzh37hxcXFzg5OSEqqoqNi47O5vdnd6ZuLU5efIkVFVVMXr0aJE2xcXFcHZ2RmhoKGxtbfs05xe9vwDA5/PR1NQEALh27RoSEhLg7++PYcOGITMzE2pqauz5zoKDg1FfX8++nv93hRBCCCGEEEIIeVtQQpj8YwwYMABZWVnIyMjAqFGjEBsbCwMDA9y4caNP/QwcOJDznsfjsfV2e9Om46fqPbV5EV2N093YkpKS8PLyQkJCAlpaWpCcnAxfX182vrGxEU5OTigqKuK8rl27hokTJ77QvDrm0d31DxkyRCRZ/6qsWbMGs2bNgp+fH4yNjeHq6oqIiAhERka+1D1paWlBZmZmlwnhqKgobNq0CT/99BMnOd7xwLW7d+9y4u/evfu3eTjhyZMncfToURw6dAiWlpYYO3Ys4uLiwOfzsX///h7bi1sboL1cRFfrWVpaiilTpmDu3LkICQnhnFNXV+9yPeXl5cHn87ucg7q6usgXFK2traipqRG5DzU1NeyDEz/99FPo6emx53g8HubPny9S9qKDlJQU5OXlOS9CCCGEEEIIIeRtQyUjyD8Kj8eDpaUlLC0tsXbtWmhrayM1NRVLliwB0L4jtuNn5QBw9uxZyMnJQUtL67XNycDAAOfPn+cc6/zeyMgIp0+fhre3N3vs9OnTGDVq1EuP7+fnh3fffRdxcXFsSY0OY8eOxX/+8x/o6OjgnXfe3D8HZmZmKC0t5RwzMjLi1HMF2u9PXzU1NbHlPzoMGDAAADj1pPsqNzcXSkpKMDU15RzfvHkzNm7ciOPHj4uUwRgxYgTU1dWRnZ2NMWPGAAAaGhqQn5+P//f//t8Lz6U3DA0N0draigsXLrAlI65evYq6uro+9dOxG7bzmkpISPSYYO9ubRiGwY8//ohvvvmGc7ykpASTJ0+Gt7e3SK1toH3XeHp6OudYVlZWt7vJzc3NUVdXhwsXLrA7pk+ePIm2tjbOrvQnT57g+vXrMDMz47TX0dFBYmJit9dKCCF/F5WbHPt7CoQQQgghpJ/RDmHyj5Gfn4+IiAgUFBTg1q1bSElJwf379zk1U1taWjB79myUlpYiPT0doaGhCAwMFEl2vUoLFixAeno6oqOjce3aNezatQsZGRmch14tW7YMiYmJ2LFjB65du4bo6GikpKSwdYdfhpGREcaPH48VK1bAw8ODs4ty/vz5qKmpgYeHB86fP4/r16/j+PHj8PHxwbNnz156bHE6HgL2/BgLFy5EZmYmoqKicO3aNWzfvr3L+sEdu5gbGxtx//59FBUVcZLLTk5O2LFjBw4dOoQbN24gKysLa9asgZOTE5sYTk1NZUtjdLh16xaKiopw69YtPHv2jDMO0PVu1s8//xxr1qzBvn37oKOjg+rqalRXV7NteDweFi1ahA0bNiAtLQ2XL1+Gl5cXNDU14eLiwvbj5eWF4ODgPl1nTwwMDGBvb4958+YhPz8fFy5cgJ+fn8gu2urqahQVFaGiogIAcPnyZRQVFbEPBTQ3N4eSkhK8vb1x8eJFlJeXY9myZbhx4wZbNxsApkyZgu3bt/d6bS5cuICmpiZMmDCBbVNcXAxra2vY2tpiyZIlbJv79++zMf7+/vj999+xfPlyXLlyBXFxcTh8+DAWL17MxnS+v0ZGRrC3t8ecOXNw7tw5nD59GoGBgfjkk0849aDPnj0LKSmpFypVQgghhBBCCCGE/G0whPxDlJaWMnZ2doyKigojJSXFCAQCJjY2lj3v7e3NODs7M2vXrmUGDx7MyMnJMXPmzGGePHnCxkyaNIkJCgri9Ovs7Mx4e3uz7wEwqampDMMwzI0bNxgAzG+//caer62tZQAwOTk57LHdu3czQ4cOZfh8PuPi4sJs2LCBUVdX54wTFxfH6OrqMgMHDmQEAgGTlJTEOf/8uOLGzsnJYQAwtbW1nLZ79+5lADDnzp0TWbfy8nLG1dWVUVRUZPh8PmNoaMgsWrSIaWtr63JNtLW1mS1btoidF8MwjIKCApOQkCAyVoenT58ympqaTGZmpsg8hw0bxvD5fMbJyYmJiopiFBQURNah80tbW5vT97p16xg9PT1GWlqa0dLSYgICAjhrkpCQwHT+58/b27vLvjvuo5aWFpOVlcVpo62t3WWb0NBQNqatrY1Zs2YNo6amxkhJSTFTpkxhrl69yuln0qRJnM9Yb66z417fuHFD7DpXVVUxjo6OjJSUFDN8+HAmKSlJ5P6FhoZ2Odbz9+/8+fOMra0to6yszAwaNIgZP348k56eLrIWz193T2sTEhLCzJw5k9OHuLk8f90d1z5mzBhGUlKS0dXVFfmsdXV///rrL8bDw4ORk5Nj5OXlGR8fH+bhw4ecmLlz5zLz5s0Tu559VV9fzwBg6uvrX1mfhBBCCCGEEEKIOL39O5THMC/xG2pC/kaEQiHq6urwww8/9PdUMGfOHFy5cgWnTp16I+OFh4fju+++w6VLl97IeL3x1VdfIS0tDcePH+/vqfSosLAQkydPxv3790XqJfeXhIQEREREoLS09K2ZU1+YmJggJCQE7u7u/T0VAMCDBw9gYGCAgoICjBgx4pX02dDQAAUFBdTX11M9YUIIIYQQQgghr11v/w6lGsKEvAFRUVGYOnUqZGVlkZGRgf379yMuLu61j9vY2IjKykps374dGzZseO3j9cW8efNQV1eHhw8fYtCgQf09nW61trYiNjb2rUq8pqenIyIi4q2aU2+1tLTg448/hoODQ39PhVVZWYm4uLhXlgwmhBBCCCGEEELeVlRDmJDnWFlZYdGiRd3G8Hi8Pu8yPnfuHKZOnQpjY2Ps3LkT27Ztg5+f34tPtJcCAwPx3nvvwcrKCr6+vi/UR+c10dHRQUxMzEvP7fr164iNje02JjExEYqKii891sv68MMPMWvWrP6eBsd3332HGTNm9Lndi3x+XzVJSUmEhoa+VV8EPHjwAJGRkT0+KI8QQgghhBBCCPm7o4Qw+Z+RmJj4ShJhVVVVfd7ZePjwYdy7dw+PHz9GSUkJ/P39X3oevZGYmIjm5mZ8++237APVXtb58+cxd+7cl+4nODgYCxYs6FNSsKqqCp6enhAIBJCQkBCbvI+JiYGBgQH4fD60tLSwePFiPHnypNu+N27cCAsLC8jIyHSbhL558yb4fD4aGxsRHx+Pf/3rX1BSUoKSkhJsbGxw7tw5TjzDMFi7di00NDTA5/NhY2ODa9eu9Xitubm5GDt2LKSkpDBy5EgkJib22OZF9Pa6ExMTYWJiAmlpaaiqqmL+/Pnd9vvLL7/AyckJmpqaPSahra2tsWfPHly8eBEeHh7Q0tICn8+HkZERtm7dyolNSUnB1KlToaKiAnl5eZibm/eq7EhNTQ1mzpwJeXl5KCoqYvbs2ewD7gDA3t4eAwcOxIEDB0TaVlZWQigU9jgGIYQQQgghhBDyd0AlIwjpI3V19f6eQr9SUVF56T5u3bqFo0eP9rhDuLPm5maoqKggJCQEW7Zs6TImOTkZK1euxL59+2BhYYHy8nIIhULweDxER0eL7bulpQUzZsyAubk59u7dKzbuyJEjsLa2hpycHHJzc+Hh4QELCwtIS0vj888/h62tLUpKSjB06FAAwObNm7Ft2zbs378fI0aMwJo1a2BnZ4fS0lJIS0t3OcaNGzfg6OgIf39/HDhwANnZ2fDz84OGhgbs7Oz6sGI96811R0dH48svv8QXX3yBcePG4dGjR6isrOy230ePHsHU1BS+vr5wc3MTG1dTU4PTp0/j0KFDOHbsGFRVVfHNN99AS0sLZ86cwdy5czFgwAAEBgYCaE80T506FREREVBUVERCQgKcnJyQn58PMzMzsePMnDkTVVVVyMrKwtOnT+Hj44O5c+ciOTmZjREKhdi2bRu7G/zAgQMYP348+2UKwzCIi4uDp6cnlJSUur1+Qgh5W+msPNbfU+hR5SbH/p4CIYQQQsg/Gu0QJv8o33//PYyNjcHn8zF48GDY2Njg0aNHANqTPS4uLggLC2N3F/r7+6OlpYXTR1tbG5YvXw5lZWWoq6tj3bp1nPPP73asrKwEj8dDSkoKrK2tISMjA1NTU+Tl5XHaxMfHQ0tLCzIyMnB1dUV0dLTIbswdO3ZAT08PkpKSMDAwwNdffy0y7q5duzB9+nTIyMjAyMgIeXl5qKiogJWVFWRlZWFhYYHr16+zc5OQkEBBQQGnn5iYGGhra7M/jS8uLoaDgwPk5OSgpqaGWbNm4cGDB2LXuHPJCB6Phz179sDV1RUyMjLQ19dHWlqa2PZA+45pU1NTNmnaITExEcOHD2fX6a+//hIZe+vWrfDy8oKCgkKXfZ85cwaWlpbw9PSEjo4ObG1t4eHhIbJzt7OwsDAsXrwYxsbG3cYdOXIEH330EYD2hGFAQADGjBkDQ0ND7NmzB21tbcjOzgbQnkCMiYlBSEgInJ2dYWJigqSkJPz555/d7pjduXMnRowYgS+//BJGRkYIDAzEv//9b7FJcHGuXbuGiRMnQlpaGqNGjUJWVlafr7u2thYhISFISkqCp6cn9PT0YGJiwq6BOA4ODtiwYQNcXV27jTt27BjGjh0LNTU1+Pr6YuvWrZg0aRJ0dXXx6aefwsfHBykpKWx8TEwMli9fjg8++AD6+vqIiIiAvr4+fvzxR7FjlJWVITMzE3v27MG4ceMwYcIExMbG4tChQ/jzzz/ZOCcnJxQUFLD/DY0YMQLe3t7YuXMn/vjjD9jb2+POnTuQkpLq9poIIYQQQgghhJC3GSWEyT9GVVUVPDw84Ovri7KyMuTm5sLNzQ0Mw7Ax2dnZ7LmDBw8iJSUFYWFhnH72798PWVlZ5OfnY/PmzVi/fn2XibTnrV69GkuXLkVRUREEAgE8PDzQ2toKADh9+jT8/f0RFBSEoqIiTJ06FRs3buS0T01NRVBQED777DMUFxdj3rx58PHxQU5ODicuPDwcXl5eKCoqgqGhITw9PTFv3jwEBwejoKAADMOwOyl1dHRgY2ODhIQETh8JCQkQCoWQkJBAXV0dJk+eDDMzMxQUFCAzMxN3796Fu7t7n9Y+LCwM7u7uuHTpEqZNm4aZM2eipqZGbPypU6fw/vvvc47l5+dj9uzZCAwMRFFREaytrV/oQXgWFha4cOECmwD+/fffkZ6ejmnTprExiYmJ4PF4fe67rq4Ov/76q9hkaFNTE54+fQplZWUA7Tt9q6urYWNjw8YoKChg3LhxnC8NrKysOCUJ8vLyOG0AwM7OTuSLhu60tbXBzc0NkpKSyM/Px86dO7FixYpet++QlZWFtrY23LlzB0ZGRhg2bBjc3d1x+/ZtThyPx3uhshZpaWlwdnYWe76+vp5dz660tbXh4cOHnJjO9zcvLw+Kioqcz5yNjQ0kJCSQn5/PHhs+fDjU1NRw6tQpAO2fpZycHOTl5SE3NxeLFi1CREQEZGRk+nydhBBCCCGEEELI24ISwuQfo6qqCq2trXBzc4OOjg6MjY0REBAAOTk5NkZSUhL79u3D6NGj4ejoiPXr12Pbtm2cB0mZmJggNDQU+vr68PLywvvvv8/u+BRn6dKlcHR0hEAgQFhYGG7evImKigoAQGxsLBwcHLB06VIIBAIEBASI1CCOioqCUChEQEAABAIBlixZAjc3N0RFRXHifHx84O7uDoFAgBUrVqCyshIzZ86EnZ0djIyMEBQUhNzcXDbez88PBw8eRHNzMwCgsLAQly9fho+PDwBg+/btMDMzQ0REBAwNDWFmZoZ9+/YhJycH5eXlvV57oVAIDw8PjBw5EhEREWhsbOx2R+7NmzehqanJObZ161bY29tj+fLlEAgEWLhw4QuVR/D09MT69esxYcIEDBw4EHp6erCyssKqVavYGAUFBRgYGPS57/T0dJiYmIjMvcOKFSugqanJJnOrq6sBAGpqapw4NTU19hzQnojU0NBg31dXV3fZpqGhAY8fP+7VXE+cOIErV64gKSkJpqammDhxIiIiInrV9nm///472traEBERgZiYGHz//feoqanB1KlTObvrDQwMxO7aFqe5uRmZmZliE+xnzpzBt99+223N6qioKDQ2NnK+xOh8f6urq6Gqqspp984770BZWZlzHwBAU1MTN2/eBND+JcWUKVNgbm4OKysrxMTEYO3atWLrUTc3N6OhoYHzIoQQQgghhBBC3jaUECb/GKamppgyZQqMjY0xY8YMxMfHo7a2ViTm+d195ubmaGxs5Ox2NDEx4bTR0NDAvXv3uh37+TYdib2ONlevXsWHH37Iie/8vqysDJaWlpxjlpaWKCsrEztOR8Lw+Z/6q6mp4cmTJ2wiysXFBQMGDEBqaiqA9p2T1tbW0NHRAQBcvHgROTk5kJOTY1+GhoYAwP5svjeen5esrCzk5eW7XbPHjx+L1M8tKyvDuHHjOMfMzc17PYcOubm5iIiIQFxcHAoLC5GSkoJjx44hPDycjXF1dcWVK1f63Pfz5SI627RpEw4dOoTU1FSxtYHFSUpKQmRkZJ/n052ysjJoaWlxktcvsp5tbW14+vQptm3bBjs7O4wfPx4HDx7EtWvXODvYr1y50mN5iM5OnjwJVVVVjB49WuRccXExnJ2dERoaCltb2y7bJycnIywsDIcPH+YkfF/0/gIAn89HU1MTgPaSGwkJCfD398ewYcOQmZkJNTU19nxnkZGRUFBQYF9aWlovNAdCCCGEEEIIIeR1ooQw+ccYMGAAsrKykJGRgVGjRiE2NhYGBga4ceNGn/oZOHAg5z2Px+PsIO6pTcdP1Xtq8yK6Gqe7sSUlJeHl5YWEhAS0tLQgOTkZvr6+bHxjYyOcnJxQVFTEeXXUnn2ReXXMo7vrHzJkiEiy/lVZs2YNZs2aBT8/PxgbG8PV1RURERGIjIx8qXvS0tIidjdrVFQUNm3ahJ9++omTHO94AOHdu3c58Xfv3u324YTq6updtpGXlwefz3/ha3gRHV9wjBo1ij2moqKCIUOG4NatWy/Vd1paWpfrWVpaiilTpmDu3LkICQnpsu2hQ4fg5+eHw4cPi5TX6ExdXV3kC4rW1lbU1NSI3Ieamhr2wYmffvop9PT02HM8Hg/z588XW8IiODgY9fX17KtzWQ1CCCGEEEIIIeRtQAlh8o/C4/FgaWmJsLAw/Pbbb5CUlGR3xwLtO2Kf/8n92bNnIScn91p38hkYGOD8+fOcY53fGxkZ4fTp05xjp0+f5iThXpSfnx9OnDiBuLg4tqRGh7Fjx6KkpAQ6OjoYOXIk5yUrK/vSY4tjZmaG0tJSzjEjIyNOPVeg/f70VVNTEyQkuP+0DRgwAAA49aT7Kjc3F0pKSjA1NeUc37x5M8LDw5GZmSlSF3nEiBFQV1fnlBxpaGhAfn5+t7t1zc3NRcqUZGVl9WmHr5GREW7fvo2qqir22IusZ8fO9atXr7LHampq8ODBA2hra/e5vw4Mw+DHH38UqR9cUlICa2treHt7i9Ta7nDw4EH4+Pjg4MGDcHTs+Un05ubmqKurw4ULF9hjJ0+eRFtbG2dX+pMnT3D9+nWYmZlx2uvo6PSqPrKUlBTk5eU5L0IIIYQQQggh5G3zTn9PgJBXJT8/H9nZ2bC1tYWqqiry8/Nx//59GBkZsTEtLS2YPXs2QkJCUFlZidDQUAQGBookEF+lBQsWYOLEiYiOjoaTkxNOnjyJjIwMzkOvli1bBnd3d5iZmcHGxgY//vgjUlJScOLEiZce38jICOPHj8eKFSvg6+vL2WE6f/58xMfHw8PDA8uXL4eysjIqKipw6NAh7Nmzh02kvmp2dnbw8/PDs2fP2DEWLlwIS0tLREVFwdnZGcePH0dmZqZI26KiIgDtu5vv37+PoqIiSEpKsslzJycnREdHw8zMDOPGjUNFRQXWrFkDJycndqzU1FQEBwdzygrcunULNTU1uHXrFp49e8aOM3LkSMjJyXW5m/Xzzz/H2rVrkZycDB0dHbYebUf5DR6Ph0WLFmHDhg3Q19fHiBEjsGbNGmhqasLFxYXtx8vLC0OHDmXLRvj7+2P79u1Yvnw5fH19cfLkSRw+fBjHjh3r9Rrb2NhAIBDA29sbX3zxBRoaGrB69WqRuJ6uWyAQwNnZGUFBQdi9ezfk5eURHBwMQ0NDWFtbs/0YGhoiMjKSLRvR2NjI1tEG2h+wV1RUBGVlZQwfPhwXLlxAU1MTJkyYwMYUFxdj8uTJsLOzw5IlS9j1HDBgALtrNzk5Gd7e3ti6dSvGjRvHxvD5fLaGcef7a2RkBHt7e8yZMwc7d+7E06dPERgYiE8++YRTUuPs2bOQkpJ6odIahBDyd1G5qecv0gghhBBCyD8cQ8g/RGlpKWNnZ8eoqKgwUlJSjEAgYGJjY9nz3t7ejLOzM7N27Vpm8ODBjJycHDNnzhzmyZMnbMykSZOYoKAgTr/Ozs6Mt7c3+x4Ak5qayjAMw9y4cYMBwPz222/s+draWgYAk5OTwx7bvXs3M3ToUIbP5zMuLi7Mhg0bGHV1dc44cXFxjK6uLjNw4EBGIBAwSUlJnPPPjytu7JycHAYAU1tby2m7d+9eBgBz7tw5kXUrLy9nXF1dGUVFRYbP5zOGhobMokWLmLa2ti7XRFtbm9myZYvYeTEMwygoKDAJCQkiY3V4+vQpo6mpyWRmZorMc9iwYQyfz2ecnJyYqKgoRkFBQWQdOr+0tbU5fa9bt47R09NjpKWlGS0tLSYgIICzJgkJCUznf/68vb277LvjPmppaTFZWVmcNtra2l22CQ0NZWPa2tqYNWvWMGpqaoyUlBQzZcoU5urVq5x+Jk2axPmMMUz7vRwzZgwjKSnJ6OrqiqxnV9fQ2dWrV5kJEyYwkpKSjEAgYDIzM0XuV0/XzTAMU19fz/j6+jKKioqMsrIy4+rqyty6dYszFgDOHDs+i51fHdcZEhLCzJw5k9NHaGhoj/d30qRJ3fYrbm3++usvxsPDg5GTk2Pk5eUZHx8f5uHDh5yYuXPnMvPmzet2Tfuivr6eAcDU19e/sj4JIYQQQgghhBBxevt3KI9hXuI31IT8jQiFQtTV1eGHH37o76lgzpw5uHLlCk6dOvVGxgsPD8d3332HS5cuvZHxeuOrr75CWloajh8/3t9T6VFhYSEmT56M+/fvi9RL7i+hoaH4+eefkZub299TeSEmJiYICQmBu7t7f08FAPDgwQMYGBigoKAAI0aMeCV9NjQ0QEFBAfX19VQ+ghBCCCGEEELIa9fbv0OpZAQhb0BUVBSmTp0KWVlZZGRkYP/+/YiLi3vt4zY2NqKyshLbt2/Hhg0bXvt4fTFv3jzU1dXh4cOHGDRoUH9Pp1utra2IjY19a5LBAJCRkYHt27f39zReSEtLCz7++GM4ODj091RYlZWViIuLe2XJYEIIIYQQQggh5G1FO4TJ/4z+3CHs7u6O3NxcPHz4ELq6uliwYAH8/f1f+7hCoRAHDx6Ei4sLkpOTX1tNYEKIKNohTAghhBBCCCHkTert36Gv70lahLxlEhMTe0wGW1lZYdGiRd3G8Hi8PieVDx8+jHv37uHx48coKSl5I8lgoP2am5ub8e23375wMrjzmujo6CAmJual53b16lWoq6vj4cOHYmMSExOhqKj40mOR/+rNZ/x/1fjx4/Gf//ynv6dBCCGEEEIIIYS8VpQQJqSPqqqq3qqfur9p58+fx9y5c1+6n+DgYCxYsKBP5SKqqqrg6ekJgUAACQkJsYnNmJgYGBgYgM/nQ0tLC4sXL8aTJ0+67Xvjxo2wsLCAjIxMt0nomzdvgs/no7GxESUlJfj444+ho6MDHo/XZaL84cOHWLRoEbS1tcHn82FhYYHz58/3eK23bt2Co6MjZGRkoKqqimXLlqG1tbXHdn2VkpICW1tbDB48GDweD0VFRSIx169fh6urK1RUVCAvLw93d3fcvXu32357e68AICwsDJ9++ikAYPfu3bCysoK8vDx4PB7q6upE4svLy+Hs7IwhQ4ZAXl4eEyZMQE5OTo/X+t1338HQ0BDS0tIwNjZGeno653xISAhWrlyJtrY2kbZCoRCVlZU9jkEIIYQQQgghhLztqIYwIX2krq7e31PoVyoqKi/dx61bt3D06FHExsb2qV1zczNUVFQQEhKCLVu2dBmTnJyMlStXYt++fbCwsEB5eTmEQiF4PB6io6PF9t3S0oIZM2bA3Nwce/fuFRt35MgRWFtbQ05ODk1NTdDV1cWMGTOwePHiLuP9/PxQXFyMr7/+Gpqamvjmm29gY2OD0tJSDB06tMs2z549g6OjI9TV1XHmzBlUVVXBy8sLAwcORERERDcr1HePHj3ChAkT4O7ujjlz5nR53tbWFqampjh58iQAYM2aNXBycsLZs2chIdH194q9uVcdjhw5gpUrVwIAmpqaYG9vD3t7ewQHB3cZP336dOjr6+PkyZPg8/mIiYnB9OnTcf36dbH/fZ45cwYeHh6IjIzE9OnTkZycDBcXFxQWFuLdd98FADg4OMDPzw8ZGRlwdHRETU0NDh48iICAALaf69ev4+zZs5g5c2a310QIIW8rnZXH+nsK5C1Xucmxv6dACCGEkNeMdgiTf5Tvv/8exsbG4PP5GDx4MGxsbPDo0SMA7Tv8XFxcEBYWxu509Pf3R0tLC6ePtrY2LF++HMrKylBXV8e6des4558vGVFZWQkej4eUlBRYW1tDRkYGpqamyMvL47SJj4+HlpYWZGRk4OrqiujoaJFdqDt27ICenh4kJSVhYGCAr7/+WmTcXbt2Yfr06ZCRkYGRkRHy8vJQUVEBKysryMrKwsLCAtevX2fnJiEhgYKCAk4/MTEx0NbWZndBFhcXw8HBAXJyclBTU8OsWbPw4MEDsWvcuWQEj8fDnj174OrqChkZGejr6yMtLU1se6C9hIapqalIQjQxMRHDhw9n1+mvv/4SGXvr1q3w8vKCgoJCl32fOXMGlpaW8PT0hI6ODmxtbeHh4YFz5851O6ewsDAsXrwYxsbG3cYdOXIEH330EQDggw8+wBdffIFPPvkEUlJSIrGPHz/Gf/7zH2zevBkTJ07EyJEjsW7dOowcORI7duwQO8ZPP/2E0tJSfPPNNxgzZgwcHBwQHh6Or776SuTz2p1Hjx7By8sLcnJy0NDQwJdffikSM2vWLKxduxY2NjZd9nH69GlUVlYiMTERxsbGMDY2xv79+1FQUMAmiLvSm3sFALdv30ZJSQns7e0BAIsWLcLKlSsxfvz4LuMfPHiAa9euYeXKlTAxMYG+vj42bdqEpqYmFBcXix1n69atsLe3x7Jly2BkZITw8HCMHTuW82C+AQMGYNq0aTh06BAAQFpaGnfu3IG9vT3++OMP7Ny5E0KhkB48RwghhBBCCCHkb40SwuQfo6qqCh4eHvD19UVZWRlyc3Ph5uaG55+bmJ2dzZ47ePAgUlJSEBYWxuln//79kJWVRX5+PjZv3oz169cjKyur27FXr16NpUuXoqioCAKBAB4eHuzP+0+fPg1/f38EBQWhqKgIU6dOxcaNGzntU1NTERQUhM8++wzFxcWYN28efHx8RH4GHx4eDi8vLxQVFcHQ0BCenp6YN28egoODUVBQAIZhEBgYCKA9IWdjY4OEhAROHwkJCRAKhZCQkEBdXR0mT54MMzMzFBQUIDMzE3fv3oW7u3uf1j4sLAzu7u64dOkSpk2bhpkzZ6KmpkZs/KlTp/D+++9zjuXn52P27NkIDAxEUVERrK2tsWHDhj7NAwAsLCxw4cIFNgH8+++/Iz09HdOmTWNjEhMTwePx+tx3XV0dfv31VzYh3JPW1lY8e/YM0tLSnON8Ph+//vor+37dunXQ0dFh3+fl5cHY2BhqamrsMTs7OzQ0NKCkpKTX8122bBl+/vlnHDlyBD/99BNyc3NRWFjY6/ZA+05fHo/HSXhLS0tDQkKCcw1WVlYQCoV96hsA0tLS2BIRvTF48GAYGBggKSkJjx49QmtrK3bt2gVVVVW89957bJyOjg7ny5y8vDyRpLednZ3IlzcffvghTp06BQCQkZFBREQEgoKCkJubi7Nnz+LkyZOwsLDo83USQgghhBBCCCFvC0oIk3+MqqoqtLa2ws3NDTo6OjA2NkZAQADk5OTYGElJSezbtw+jR4+Go6Mj1q9fj23btnFqhpqYmCA0NBT6+vrw8vLC+++/j+zs7G7HXrp0KRwdHSEQCBAWFoabN2+ioqICABAbGwsHBwcsXboUAoEAAQEBIjWIo6KiIBQKERAQAIFAgCVLlsDNzQ1RUVGcOB8fH7i7u0MgEGDFihWorKzEzJkzYWdnByMjIzZx1cHPzw8HDx5Ec3MzAKCwsBCXL1+Gj48PAGD79u0wMzNDREQEDA0NYWZmhn379iEnJwfl5eW9XnuhUAgPDw+MHDkSERERaGxs7HZH7s2bN6Gpqck51rGDc/ny5RAIBFi4cCHs7Ox6PYcOnp6eWL9+PSZMmICBAwdCT08PVlZWWLVqFRujoKAAAwODPvednp4OExMTkbmLM2jQIJibmyM8PBx//vknnj17hm+++QZ5eXmoqqpi44YMGQI9PT32fXV1NScZDIB9X11d3auxGxsbsXfvXkRFRWHKlCnszt6+1iEeP348ZGVlsWLFCjQ1NeHRo0dYunQpnj17xrmG4cOHQ0NDo099A9wd173B4/Fw4sQJ/Pbbbxg0aBCkpaURHR2NzMxMKCkpsXF6enoYMmQI+17cmnZeT01NTdy+fRttbW148uQJ1q5di61bt8LKygrjx4+HjY2N2M92c3MzGhoaOC9CCCGEEEIIIeRtQwlh8o9hamrKJr5mzJiB+Ph41NbWisTIyMiw783NzdHY2Ijbt2+zx0xMTDhtNDQ0cO/evW7Hfr5NR1Kso83Vq1fx4YcfcuI7vy8rK4OlpSXnmKWlJcrKysSO05Hcer7EgZqaGp48ecImolxcXDBgwACkpqYCaN8Za21tze5GvXjxInJyciAnJ8e+DA0NAYAtPdEbz89LVlYW8vLy3a7Z48ePRXbNlpWVYdy4cZxj5ubmvZ5Dh9zcXERERCAuLg6FhYVISUnBsWPHEB4ezsa4urriypUrfe67r8lLAPj666/BMAyGDh0KKSkpbNu2DR4eHpzau4GBgT1+6dBX169fR0tLC2dNlZWV+5wIV1FRwXfffYcff/wRcnJyUFBQQF1dHcaOHcu5hqSkJERGRvap74aGBvz88899WlOGYTB//nyoqqri1KlTOHfuHFxcXODk5MRJUGdnZ7O75fuCz+ejra0Nzc3NaGpqgpqaGjIzMzFs2DD4+/tj3759Yr8siYyMhIKCAvvS0tLq8/iEEEIIIYQQQsjrRglh8o8xYMAAZGVlISMjA6NGjUJsbCwMDAxw48aNPvUzcOBAznsej8fZQdxTm45SBD21eRFdjdPd2JKSkvDy8kJCQgJaWlqQnJwMX19fNr6xsRFOTk4oKirivK5du4aJEye+0Lw65tHd9Q8ZMkQkWf+qrFmzBrNmzYKfnx+MjY3h6uqKiIgIREZGvtQ9aWlpQWZmZp8Twnp6evj555/ZLx7OnTuHp0+fQldXV2wbdXV13L17l3Os431/PNTQ1tYW169fx7179/DgwQN8/fXXuHPnTrfX0Bsd/632JXF68uRJHD16FIcOHYKlpSXGjh2LuLg48Pl87N+/X2w7cWvaeT1ramogKysLPp8PZWVlzJ8/n1NeRE9PD59++mmXYwQHB6O+vp59Pf9FEyGEEEIIIYQQ8raghDD5R+HxeLC0tERYWBh+++03SEpKsrtjgfYdsY8fP2bfnz17FnJycq91J5+BgQHOnz/POdb5vZGREU6fPs05dvr0aYwaNeqlx/fz88OJEycQFxfHltToMHbsWJSUlEBHRwcjR47kvGRlZV96bHHMzMxQWlrKOWZkZIT8/HzOsbNnz/a576amJs7OVaD9ywIAnHrSfZWbmwslJSWYmpq+UHtZWVloaGigtrYWx48fh7Ozs9hYc3NzXL58mbPLOisrC/Ly8r3+TOjp6WHgwIGcNa2tre1TKZDOhgwZAkVFRZw8eRL37t3rc3K8syNHjnS7Dl1pamoCAJF7LCEh0W3C39zcXGQXdlZWlsgu9OLiYpiZmYm0T0xM5NR57oqUlBTk5eU5L0IIIYQQQggh5G3zTn9PgJBXJT8/H9nZ2bC1tYWqqiry8/Nx//59GBkZsTEtLS2YPXs2QkJCUFlZidDQUAQGBookl16lBQsWYOLEiYiOjoaTkxNOnjyJjIwMzq7DZcuWwd3dHWZmZrCxscGPP/6IlJQUnDhx4qXHNzIywvjx47FixQr4+vqCz+ez5+bPn4/4+Hh4eHhg+fLlUFZWRkVFBQ4dOoQ9e/awidRXzc7ODn5+fnj27Bk7xsKFC2FpaYmoqCg4Ozvj+PHjyMzMFGlbVFQEoH138/3791FUVARJSUk2Uerk5ITo6GiYmZlh3LhxqKiowJo1a+Dk5MSOlZqaiuDgYE7ZiFu3bqGmpga3bt3Cs2fP2HFGjhwJOTk5pKWliSRAW1pa2MR2S0sL7ty5g6KiIsjJyWHkyJEAgOPHj4NhGBgYGKCiogLLli2DoaEhW8cZaK/lnJqayiYsbW1tMWrUKMyaNQubN29GdXU1QkJCMH/+fM7D3bojJyeH2bNnY9myZRg8eDBUVVWxevVqkc96xzX/+eefANpLnADtO2o7ds8mJCTAyMgIKioqyMvLQ1BQEBYvXswpP+Hl5YWhQ4dyykZ0d69aW1uRkZGBpUuXcuZTXV2N6upqtgb35cuXMWjQIAwfPhzKysowNzeHkpISvL29sXbtWvD5fMTHx+PGjRtwdHRk+5kyZQpcXV3ZshFBQUGYNGkSvvzySzg6OuLQoUMoKCjA7t27OeOfOnUKtra2vVpjQgj5O6rc5NhzECGEEEII+WdjCPmHKC0tZezs7BgVFRVGSkqKEQgETGxsLHve29ubcXZ2ZtauXcsMHjyYkZOTY+bMmcM8efKEjZk0aRITFBTE6dfZ2Znx9vZm3wNgUlNTGYZhmBs3bjAAmN9++409X1tbywBgcnJy2GO7d+9mhg4dyvD5fMbFxYXZsGEDo66uzhknLi6O0dXVZQYOHMgIBAImKSmJc/75ccWNnZOTwwBgamtrOW337t3LAGDOnTsnsm7l5eWMq6sro6ioyPD5fMbQ0JBZtGgR09bW1uWaaGtrM1u2bBE7L4ZhGAUFBSYhIUFkrA5Pnz5lNDU1mczMTJF5Dhs2jOHz+YyTkxMTFRXFKCgoiKxD55e2tjan73Xr1jF6enqMtLQ0o6WlxQQEBHDWJCEhgen8z5+3t3eXfXfcRy0tLSYrK4vTpuMedH5NmjSJjfn2228ZXV1dRlJSklFXV2fmz5/P1NXVcfoJDQ3lXAPDMExlZSXj4ODA8Pl8ZsiQIcxnn33GPH36VGTs5z9nnT18+JD59NNPGRkZGUZNTY3ZvHmzyP3sWIvOr9DQUDZmxYoVjJqaGjNw4EBGX1+f+fLLL9nPR4dJkyZx/jthmO7v1YkTJ5hhw4aJzDk0NLTLds9/ns6fP8/Y2toyysrKzKBBg5jx48cz6enpnH60tbU518AwDHP48GFGIBAwkpKSzOjRo5ljx45xzv/xxx/MwIEDmdu3b4td076or69nADD19fWvpD9CCCGEEEIIIaQ7vf07lMcwL/EbakL+RoRCIerq6vDDDz/091QwZ84cXLlyBadOnXoj44WHh+O7777DpUuX3sh4vfHVV18hLS0Nx48f7++p9KiwsBCTJ0/G/fv3Reol95ecnBy4ubnh999/h5KSUn9Pp88WLlyI1tZWxMXF9fdUWCtWrEBtba3IruEX1dDQAAUFBdTX11P5CEIIIYQQQgghr11v/w6lkhGEvAFRUVGYOnUqZGVlkZGRgf3797+RRFhjYyMqKyuxfft2bNiw4bWP1xfz5s1DXV0dHj58iEGDBvX3dLrV2tqK2NjYtyYZDADp6elYtWrV3zIZDADvvvuuSP3e/qaqqoolS5b09zQIIYQQQgghhJDXinYIk/8Z/blD2N3dHbm5uXj48CF0dXWxYMEC+Pv7v/ZxhUIhDh48CBcXFyQnJ7+2msCEEFG0Q5gQQgghhBBCyJvU279DX9+TtAh5yyQmJr5UMtjKygqLFi3qNobH43U5xuHDh3Hv3j08fvwYJSUlbyQZDLRfc3NzM7799tvXkgzuvCY6OjqIiYl56X6vXr0KdXV1PHz4UGxMYmIiFBUVX3os8l9CoRAuLi79PY230vjx4/Gf//ynv6dBCCGEEEIIIYS8NEoIE/IKVVVVwcHBob+n0W/Onz+PuXPnvnQ/wcHBWLBgQZ9KSVRVVcHT0xMCgQASEhJik/cxMTEwMDAAn8+HlpYWFi9ejCdPnnTb98aNG2FhYQEZGZluk9A3b94En89HY2MjSkpK8PHHH0NHRwc8Hq/LRPmzZ8+wZs0ajBgxAnw+H3p6eggPD0dPP9xYuHAh3nvvPUhJSWHMmDHdxr6MX375BU5OTtDU1BT7ZUdjYyMCAwMxbNgw8Pl8jBo1Cjt37uy239zcXDg7O0NDQwOysrIYM2YMDhw40GVsWFgYPv30UwDA7t27YWVlBXl5efB4PNTV1YnEl5eXw9nZGUOGDIG8vDwmTJiAnJycHq/1u+++g6GhIaSlpWFsbIz09HTO+ZCQEKxcuRJtbW099kUIIYQQQgghhLzNqIYwIa+Qurp6f0+hX6moqLx0H7du3cLRo0cRGxvbp3bNzc1QUVFBSEgItmzZ0mVMcnIyVq5ciX379sHCwgLl5eUQCoXg8XiIjo4W23dLSwtmzJgBc3Nz7N27V2zckSNHYG1tDTk5OTQ1NUFXVxczZszA4sWLu4z//PPPsWPHDuzfvx+jR49GQUEBfHx8oKCggIULF3Z7vb6+vsjPz3+tDwp89OgRTE1N4evrCzc3ty5jlixZgpMnT+Kbb76Bjo4OfvrpJwQEBEBTUxMfffRRl23OnDkDExMTrFixAmpqajh69Ci8vLygoKCA6dOnc2KPHDmClStXAgCamppgb28Pe3t7BAcHd9n39OnToa+vj5MnT4LP5yMmJgbTp0/H9evXxf73eebMGXh4eCAyMhLTp09HcnIyXFxcUFhYiHfffRcA4ODgAD8/P2RkZMDR0bFX60cIIW8jnZXH+nsK5DWq3ET/jyKEEEJIz2iHMPmf8f3338PY2Bh8Ph+DBw+GjY0NHj16BOC/P5UPCwuDiooK5OXl4e/vj5aWFk4fbW1tWL58OZSVlaGuro5169Zxzj+/i7KyshI8Hg8pKSmwtraGjIwMTE1NkZeXx2kTHx8PLS0tyMjIwNXVFdHR0SK7UHfs2AE9PT1ISkrCwMAAX3/9tci4u3btwvTp0yEjIwMjIyPk5eWhoqICVlZWkJWVhYWFBa5fv87OTUJCAgUFBZx+YmJioK2tze6CLC4uhoODA+Tk5KCmpoZZs2bhwYMHYte4c8kIHo+HPXv2wNXVFTIyMtDX10daWprY9kB7eQ1TU1MMHTqUczwxMRHDhw9n1+mvv/4SGXvr1q1sYrErZ86cgaWlJTw9PaGjowNbW1t4eHjg3Llz3c4pLCwMixcvhrGxcbdxR44cYZOgH3zwAb744gt88sknkJKSEjsfZ2dnODo6QkdHB//+979ha2vb43y2bduG+fPnQ1dXt9u47jx79gxLliyBoqIiBg8ejOXLl4vsTHZwcMCGDRvg6uoqtp8zZ87A29sbVlZW0NHRwdy5c2FqatrtNaxatQrh4eGwsLCAnp4egoKCYG9vj5SUFE7c7du3UVJSAnt7ewDAokWLsHLlSowfP77Lfh88eIBr165h5cqVMDExgb6+PjZt2oSmpiYUFxeLnc/WrVthb2+PZcuWwcjICOHh4Rg7diy2b9/OxgwYMADTpk3DoUOHxPZDCCGEEEIIIYT8HVBCmPxPqKqqgoeHB3x9fVFWVobc3Fy4ublxEmDZ2dnsuYMHDyIlJQVhYWGcfvbv3w9ZWVnk5+dj8+bNWL9+PbKysrode/Xq1Vi6dCmKioogEAjg4eGB1tZWAMDp06fh7++PoKAgFBUVYerUqdi4cSOnfWpqKoKCgvDZZ5+huLgY8+bNg4+Pj8jP4MPDw+Hl5YWioiIYGhrC09MT8+bNQ3BwMAoKCsAwDAIDAwG0J09tbGyQkJDA6SMhIQFCoRASEhKoq6vD5MmTYWZmhoKCAmRmZuLu3btwd3fv09qHhYXB3d0dly5dwrRp0zBz5kzU1NSIjT916hTef/99zrH8/HzMnj0bgYGBKCoqgrW1NTZs2NCneQCAhYUFLly4wCYrf//9d6Snp2PatGlsTGJiIng8Xp/7rqurw6+//ip2V6y4+WRnZ6O8vBwAcPHiRfz666+csiPr1q2Djo5On+fTky+//BKJiYnYt28ffv31V9TU1CA1NbXP/VhYWCAtLQ137twBwzDIyclBeXk5bG1t2RihUAgrK6tu+6mvr4eysjLnWFpaGlsiojcGDx4MAwMDJCUl4dGjR2htbcWuXbugqqqK9957j43T0dHhfJmTl5cHGxsbTl92dnYiX958+OGHOHXqVK/mQgghhBBCCCGEvK2oZAT5n1BVVYXW1la4ublBW1sbAER2e0pKSmLfvn2QkZHB6NGjsX79eixbtgzh4eGQkGj/7sTExAShoaEAAH19fWzfvh3Z2dmYOnWq2LGXLl3K/sQ8LCwMo0ePRkVFBQwNDREbGwsHBwcsXboUACAQCHDmzBkcPXqUbR8VFQWhUIiAgAAA7T/RP3v2LKKiomBtbc3G+fj4sMnaFStWwNzcHGvWrIGdnR0AICgoCD4+Pmy8n58f/P39ER0dDSkpKRQWFuLy5cs4cuQIAGD79u0wMzNDREQE22bfvn3Q0tJCeXk5BAJBr9ZeKBTCw8MDABAREYFt27bh3Llz7K7Pzm7evCmSEO7Ywbl8+XLOOmVmZvZqDh08PT3x4MEDTJgwAQzDoLW1Ff7+/li1ahUbo6CgAAMDgz71CwDp6ekwMTGBpqZmr9usXLkSDQ0NMDQ0xIABA/Ds2TNs3LgRM2fOZGOGDBkCPT29Ps+nJzExMQgODmZLQezcuRPHjx/vcz+xsbGYO3cuhg0bhnfeeQcSEhKIj4/HxIkT2RgNDY1ua+8ePnwY58+fx65duzjHjxw5Amdn517Phcfj4cSJE3BxccGgQYMgISEBVVVVZGZmQklJiY3T09PDkCFD2PfV1dVQU1Pj9KWmpobq6mrOMU1NTdy+fRttbW3svwnPa25uRnNzM/u+oaGh13MnhBBCCCGEEELeFNohTP4nmJqaYsqUKTA2NsaMGTMQHx+P2tpakRgZGRn2vbm5ORobG3H79m32mImJCaeNhoYG7t271+3Yz7fR0NAAALbN1atX8eGHH3LiO78vKyuDpaUl55ilpSXKysrEjtOR3Ho+6a2mpoYnT56wSSoXFxcMGDCA3RWamJgIa2trdjfqxYsXkZOTAzk5OfZlaGgIAGzpid54fl6ysrKQl5fvds0eP34MaWlpzrGysjKMGzeOc8zc3LzXc+iQm5uLiIgIxMXFobCwECkpKTh27BjCw8PZGFdXV1y5cqXPfT9fLqK3Dh8+jAMHDiA5ORmFhYXYv38/oqKisH//fjYmMDAQ2dnZfZ5Pd+rr61FVVcVZ03feeUckEd8bsbGxOHv2LNLS0nDhwgV8+eWXmD9/Pk6cOMHGREZGIikpqcv2OTk58PHxQXx8PEaPHs0eb2howM8//9ynNWUYBvPnz4eqqipOnTqFc+fOwcXFBU5OTqiqqmLjsrOz2d3yfcHn89HW1sZJ+j4vMjISCgoK7EtLS6vPYxBCCCGEEEIIIa8b7RAm/xMGDBiArKwsnDlzBj/99BNiY2OxevVq5OfnY8SIEb3uZ+DAgZz3PB6v252Pndt0lCLoqc2L6Gqc7saWlJSEl5cXEhIS4ObmhuTkZGzdupWNb2xshJOTEz7//HORsToS232dV8c8urv+IUOGiCTrX5U1a9Zg1qxZ8PPzA9CeMH/06BHmzp2L1atXd7nrszdaWlqQmZnJ2WncG8uWLcPKlSvxySefsPO5efMmIiMj4e3t/UJzeZMeP36MVatWITU1ld0Fb2JigqKiIkRFRYmUYejs559/hpOTE7Zs2QIvLy/OuYyMDIwaNapPSdWTJ0/i6NGjqK2tZctMxMXFISsrC/v372cfTteZuro67t69yzl29+5dkYfQ1dTUQFZWFnw+v8t+goODsWTJEvZ9Q0MDJYUJIYQQQgghhLx1aIcw+Z/B4/FgaWmJsLAw/Pbbb5CUlOTUTL148SIeP37Mvj979izk5ORea0LHwMAA58+f5xzr/N7IyAinT5/mHDt9+jRGjRr10uP7+fnhxIkTiIuLY0tqdBg7dixKSkqgo6ODkSNHcl6ysrIvPbY4ZmZmKC0t5RwzMjJCfn4+59jZs2f73HdTU5NI0nfAgAEAIPJAtb7Izc2FkpISTE1NX8l8XscXBs9TUFCAhoYGZ01bW1tx4cKFPvXz9OlTPH369IWuITc3F46Ojvj8888xd+5ckfN9LRcBtK8nAJH5SEhIdDsfc3NzkV3YWVlZIrvQi4uLYWZmJrYfKSkpyMvLc16EEEIIIYQQQsjbhnYIk/8J+fn5yM7Ohq2tLVRVVZGfn4/79+/DyMiIjWlpacHs2bMREhKCyspKhIaGIjAw8IV3jfbGggULMHHiRERHR8PJyQknT55ERkYG56Fmy5Ytg7u7O8zMzGBjY4Mff/wRKSkpnJ/kvygjIyOMHz8eK1asgK+vL2fn4/z58xEfHw8PDw8sX74cysrKqKiowKFDh7Bnzx42kfqq2dnZwc/PD8+ePWPHWLhwISwtLREVFQVnZ2ccP368y/rBRUVFANp3N9+/fx9FRUWQlJRkk+dOTk6Ijo6GmZkZxo0bh4qKCqxZswZOTk7sWKmpqQgODuaUjbh16xZqampw69YtPHv2jB1n5MiRkJOTQ1pamkhpg5aWFjax3dLSgjt37qCoqAhycnIYOXIkO5+NGzdi+PDhGD16NH777TdER0fD19eX7Wf79u1ITU3lJCwrKirQ2NiI6upqPH78mJ3PqFGjICkp2at1DgoKwqZNm6Cvrw9DQ0NER0ejrq6OE9PY2IiKigr2/Y0bN1BUVARlZWUMHz4c8vLymDRpEpYtWwY+nw9tbW38/PPPSEpKQnR0NNsuODgYd+7cYctG5OTkYPr06QgKCsLHH3/M1uqVlJSEsrIyWltbkZGRwdbW7lBdXY3q6mp2TpcvX8agQYMwfPhwKCsrw9zcHEpKSvD29sbatWvB5/MRHx+PGzdusDuYAWDKlClwdXVly0YEBQVh0qRJ+PLLL+Ho6IhDhw6hoKAAu3fv5ox/6tQpzsPyCCHk76hyk2PPQYQQQggh5J+NIeR/QGlpKWNnZ8eoqKgwUlJSjEAgYGJjY9nz3t7ejLOzM7N27Vpm8ODBjJycHDNnzhzmyZMnbMykSZOYoKAgTr/Ozs6Mt7c3+x4Ak5qayjAMw9y4cYMBwPz222/s+draWgYAk5OTwx7bvXs3M3ToUIbP5zMuLi7Mhg0bGHV1dc44cXFxjK6uLjNw4EBGIBAwSUlJnPPPjytu7JycHAYAU1tby2m7d+9eBgBz7tw5kXUrLy9nXF1dGUVFRYbP5zOGhobMokWLmLa2ti7XRFtbm9myZYvYeTEMwygoKDAJCQkiY3V4+vQpo6mpyWRmZorMc9iwYQyfz2ecnJyYqKgoRkFBQWQdOr+0tbU5fa9bt47R09NjpKWlGS0tLSYgIICzJgkJCUznfxq9vb277LvjPmppaTFZWVmcNh33oPNr0qRJbExDQwMTFBTEDB8+nJGWlmZ0dXWZ1atXM83NzWxMaGgo5xoYpn3du+r7xo0bnLXoaZ2DgoIYeXl5RlFRkVmyZAnj5eXFODs7szEdn5nOr+c/81VVVYxQKGQ0NTUZaWlpxsDAgPnyyy/Zz0jH+j1/3eLWsyPmxIkTzLBhw0TmHBoa2mW756/z/PnzjK2tLaOsrMwMGjSIGT9+PJOens7pR1tbmwkNDeUcO3z4MCMQCBhJSUlm9OjRzLFjxzjn//jjD2bgwIHM7du3xa5pZ/X19QwApr6+vtdtCCGEEEIIIYSQF9Xbv0N5DPMSv5Mm5B9CKBSirq4OP/zwQ39PBXPmzMGVK1dw6tSpNzJeeHg4vvvuO1y6dOmNjNcbX331FdLS0nD8+PH+nkqPCgsLMXnyZNy/f1+kXnJ/uXHjBgQCAUpLS6Gvr9/f0+mzhQsXorW1FXFxcf09FdaKFStQW1srsmu4Ow0NDVBQUEB9fT2VjyCEEEIIIYQQ8tr19u9QKhlBSD+LiorC1KlTISsri4yMDOzfv/+NJMIaGxtRWVmJ7du3Y8OGDa99vL6YN28e6urq8PDhQwwaNKi/p9Ot1tZWxMbGvjXJYABIT0/H3Llz/5bJYAB49913Rer39jdVVVXOA+MIIYQQQgghhJC/K9ohTAj6d4ewu7s7cnNz8fDhQ+jq6mLBggXw9/d/7eMKhUIcPHgQLi4uSE5Ofm01gQn5X0U7hAkhhBBCCCGEvEm9/Tv09T0ti/QrKysrLFq0qNsYHo/3VpRIeFM6r4mOjg5iYmIAAImJiS+8FlevXoW6ujoePnwoNiYxMRGKiopdnjt8+DDu3buHx48fo6Sk5I0kgzvm1NzcjG+//fZvmQx+/v6Rl9fdZ/R/3c6dO+Hk5NTf0yCEEEIIIYQQQl4JSgj/D6uqqoKDg0N/T6PfnD9/HnPnzn3pfoKDg7FgwYI+lTaoqqqCp6cnBAIBJCQkxCbvY2JiYGBgAD6fDy0tLSxevBhPnjzptu+NGzfCwsICMjIy3Sb4bt68CT6fj8bGRpSUlODjjz+Gjo4OeDxel4nWjnOdX/Pnz+92PpcuXcK//vUvSEtLQ0tLC5s3b+42/kXt3r0bVlZWkJeXB4/HQ11dHed8bm5ul/Pn8Xg4f/682H5/+eUXODk5QVNTs8cvUaytrbFnzx4A7XVw33vvPUhJSWHMmDFdxh8/fhzjx4/HoEGDoKKigo8//hiVlZXdXifDMFi7di00NDTA5/NhY2ODa9euddvmRfTmM/r06VOsX78eenp6kJaWhqmpKTIzM3vs+3V9RgHgzp07+PTTTzF48GDw+XwYGxujoKCg2/ncunULjo6OkJGRgaqqKpYtW4bW1lb2vK+vLwoLC99YXW9CCCGEEEIIIeR1ohrC/8PU1dX7ewr9SkVF5aX7uHXrFo4ePYrY2Ng+tWtuboaKigpCQkKwZcuWLmOSk5OxcuVK7Nu3DxYWFigvL4dQKASPx0N0dLTYvltaWjBjxgyYm5tj7969YuOOHDkCa2tryMnJoampCbq6upgxYwYWL17cZfz58+fx7Nkz9n1xcTGmTp2KGTNmiB2joaEBtra2sLGxwc6dO3H58mX4+vpCUVHxlSTjn9fU1AR7e3vY29sjODhY5LyFhQWqqqo4x9asWYPs7Gy8//77Yvt99OgRTE1N4evrCzc3N7FxNTU1OH36NA4dOsQe8/X1RX5+fpcP7Ltx4wacnZ2xZMkSHDhwAPX19Vi8eDHc3NxQWFgodpzNmzdj27Zt2L9/P0aMGIE1a9bAzs4OpaWlkJaWFtuur3rzGQ0JCcE333yD+Ph4GBoa4vjx43B1dcWZM2dgZmYmtu/X9Rmtra2FpaUlrK2tkZGRARUVFVy7dg1KSkpix3j27BkcHR2hrq6OM2fOoKqqCl5eXhg4cCAiIiIAAJKSkvD09MS2bdvwr3/9S2xfhBDyd6Cz8lh/T4F0UrnJsb+nQAghhJD/MbRD+C31/fffw9jYGHw+H4MHD4aNjQ0ePXoEoL32q4uLC8LCwqCiogJ5eXn4+/ujpaWF00dbWxuWL18OZWVlqKurY926dZzzz+92rKysBI/HQ0pKCqytrSEjIwNTU1Pk5eVx2sTHx0NLSwsyMjJwdXVFdHS0yA6/HTt2QE9PD5KSkjAwMMDXX38tMu6uXbswffp0yMjIwMjICHl5eaioqICVlRVkZWVhYWGB69evs3OTkJAQ2eUXExMDbW1ttLW1AWhPUDo4OEBOTg5qamqYNWsWHjx4IHaNO5cc4PF42LNnD1xdXSEjIwN9fX2kpaWJbQ+0l3swNTXF0KFDOccTExMxfPhwdp3++usvkbG3bt0KLy8vKCgodNn3mTNnYGlpCU9PT+jo6MDW1hYeHh44d+5ct3MKCwvD4sWLYWxs3G3ckSNH8NFHHwEAPvjgA3zxxRf45JNPICUl1WW8iooK1NXV2dfRo0ehp6eHSZMmiR3jwIEDaGlpwb59+zB69Gh88sknWLhwYbcJ7a7cu3cPTk5O4PP5GDFiBA4cOCASs2jRIqxcuRLjx4/vsg9JSUnO/AcPHowjR47Ax8cHPB5P7NgODg7YsGEDXF1du53jsWPHMHbsWKipqQEAtm3bhvnz50NXV7fL+AsXLuDZs2fYsGED9PT0MHbsWCxduhRFRUV4+vRpl20YhkFMTAxCQkLg7OwMExMTJCUl4c8//+xzyZNX8Rn9+uuvsWrVKkybNg26urr4f//v/2HatGn48ssvux37dX1GP//8c2hpaSEhIQEffvghRowYAVtbW+jp6Ykd46effkJpaSm++eYbjBkzBg4ODggPD8dXX33F+TfVyckJaWlpePz4cbdzJoQQQgghhBBC3naUEH4LVVVVwcPDA76+vigrK0Nubi7c3Nzw/PP/srOz2XMHDx5ESkoKwsLCOP3s378fsrKyyM/Px+bNm7F+/XpkZWV1O/bq1avZpJRAIICHhwf70+nTp0/D398fQUFBKCoqwtSpU7Fx40ZO+9TUVAQFBeGzzz5DcXEx5s2bBx8fH+Tk5HDiwsPD4eXlhaKiIhgaGsLT0xPz5s1DcHAwCgoKwDAMAgMDAbQnpmxsbJCQkMDpIyEhAUKhEBISEqirq8PkyZNhZmaGgoICZGZm4u7du3B3d+/T2oeFhcHd3R2XLl3CtGnTMHPmTNTU1IiNP3XqlMju0vz8fMyePRuBgYEoKiqCtbU1NmzY0Kd5AO07Wi9cuMAmgH///Xekp6dj2rRpbExiYmK3yUxx6urq8Ouvv7LJtr5qaWnBN998A19fX874QqEQVlZW7Pu8vDxMnDgRkpKS7DE7OztcvXoVtbW1vR5PKBTi9u3byMnJwffff4+4uDjcu3fvhebeIS0tDX/99Rd8fHw4x3k8HhITE1+oP2dn517Hv/fee5CQkEBCQgKePXuG+vp6fP3117CxscHAgQMB/PeLmtzcXADtu4qrq6thY2PD9qOgoIBx48aJfHnTnVf1GW1ubhbZlczn8/Hrr7+y79/kZzQtLQ3vv/8+ZsyYAVVVVZiZmSE+Pp4Ts27dOujo6LDv8/LyYGxszCbygfbPaENDA0pKSthj77//PlpbW5Gfny92/ObmZjQ0NHBehBBCCCGEEELI24YSwm+hqqoqtLa2ws3NDTo6OjA2NkZAQADk5OTYGElJSXbXpaOjI9avX49t27axu2UBwMTEBKGhodDX14eXlxfef/99ZGdndzv20qVL4ejoCIFAgLCwMNy8eRMVFRUAgNjYWDg4OGDp0qUQCAQICAgQqUEcFRUFoVCIgIAACAQCLFmyBG5uboiKiuLE+fj4wN3dHQKBACtWrEBlZSVmzpwJOzs7GBkZISgoiE2CAYCfnx8OHjyI5uZmAEBhYSEuX77MJvO2b98OMzMzREREwNDQEGZmZti3bx9ycnJQXl7e67UXCoXw8PDAyJEjERERgcbGxm535N68eROampqcY1u3boW9vT2WL18OgUCAhQsXws7Ortdz6ODp6Yn169djwoQJGDhwIPT09GBlZYVVq1axMQoKCjAwMOhz3+np6TAxMRGZe2/98MMPqKurg1Ao5BzX0NDA8OHD2ffV1dWcRBsA9n11dXWvxiovL0dGRgbi4+Mxfvx4vPfee9i7d+9L79Tcu3cv7OzsMGzYMM5xAwMDsTtixWlubkZmZmafkpcjRozATz/9hFWrVkFKSgqKior4448/cPjwYTZm4MCBMDAwgIyMDID/rllXa9rb9QRe3WfUzs4O0dHRuHbtGtra2pCVlYWUlBROaY43+Rn9/fffsWPHDujr6+P48eP4f//v/2HhwoXYv38/GzNkyBDOjuHefkZlZGSgoKCAmzdvih0/MjISCgoK7EtLS6vXcyeEEEIIIYQQQt4USgi/hUxNTTFlyhQYGxtjxowZiI+PF9lNaWpqyiaJAMDc3ByNjY24ffs2e8zExITTRkNDo8ddlc+30dDQAAC2zdWrV/Hhhx9y4ju/Lysrg6WlJeeYpaUlysrKxI7TkXx5/ufjampqePLkCbvDzsXFBQMGDEBqaiqA9l2H1tbW7E6/ixcvIicnB3JycuzL0NAQANjSE73x/LxkZWUhLy/f7Zo9fvxYZIdkWVkZxo0bxzlmbm7e6zl0yM3NRUREBOLi4lBYWIiUlBQcO3YM4eHhbIyrqyuuXLnS576f/yn+i9i7dy8cHBxEknWRkZFISkp64X67UlZWhnfeeQfvvfcee8zQ0LDbh5H15I8//sDx48cxe/ZskXNXrlzpsTxEZydPnoSqqipGjx7d6zbV1dWYM2cOvL29cf78efz888+QlJTEv//9b/bXAEOHDsWVK1dE/jt7Wa/qM7p161bo6+vD0NAQkpKSCAwMhI+PDyQk/vu/ljf5GW1ra8PYsWMREREBMzMzzJ07F3PmzMHOnTvZmMDAwB6/GBOHz+ejqalJ7Png4GDU19ezr+f/PSaEEEIIIYQQQt4WlBB+Cw0YMABZWVnIyMjAqFGjEBsbCwMDA9y4caNP/XT87LwDj8fj7CDuqU3Hz7x7avMiuhqnu7ElJSXh5eWFhIQEtLS0IDk5Gb6+vmx8Y2MjnJycUFRUxHldu3YNEydOfKF5dcyju+sfMmRIn0of9MWaNWswa9Ys+Pn5wdjYGK6uroiIiEBkZORL3ZOWlpY+72Z93s2bN3HixAn4+fn1GKuuro67d+9yjnW878+HGiYkJGDw4MEvlRR/XlpaWp/7+uqrr6CgoIDNmzfDzMwMEydOxDfffIPs7GyxZQk61qyrNe2P9VRRUcEPP/yAR48e4ebNm7hy5Qrk5OTE1k3urRf9jGpoaGDUqFGcY0ZGRrh165bYNn35jNbU1HT7MEopKSnIy8tzXoQQQgghhBBCyNuGEsJvKR6PB0tLS4SFheG3336DpKQkuzsWaN8R+/xP5s+ePQs5ObnX+hNlAwMDnD9/nnOs83sjIyOcPn2ac+z06dMiSZoX4efnhxMnTiAuLo4tqdFh7NixKCkpgY6ODkaOHMl5ycrKvvTY4piZmaG0tJRzzMjISCShd/bs2T733dTUxNlpCbR/WQCAU0+6r3Jzc6GkpARTU9MXap+QkABVVVU4Ovb8RGxzc3P88ssvnIekZWVlwcDAAEpKSr0az9DQEK2trbhw4QJ77OrVq6irq+vz3IH2tUtISICXl5fIFwAv2t+PP/7Yp/rBQPf3V1zCf8SIEVBXV+fscG1oaEB+fn6fdvi+qs9oB2lpaQwdOhStra34z3/+0+e16OxFP6OWlpa4evUq51h5eTm0tbXFtjE3N8fly5c5vwTIysqCvLw859+t69ev48mTJzAzM+vTnAghhBBCCCGEkLfNO/09ASIqPz8f2dnZsLW1haqqKvLz83H//n0YGRmxMS0tLZg9ezZCQkJQWVmJ0NBQBAYGiiSYXqUFCxZg4sSJiI6OhpOTE06ePImMjAzOA6OWLVsGd3d3mJmZwcbGBj/++CNSUlJw4sSJlx7fyMgI48ePx4oVK+Dr6ws+n8+emz9/PuLj4+Hh4YHly5dDWVkZFRUVOHToEPbs2cMm2l41Ozs7+Pn54dmzZ+wYCxcuhKWlJaKiouDs7Izjx48jMzNTpG1RURGA9t3N9+/fR1FRESQlJdkklJOTE6Kjo2FmZoZx48ahoqICa9asgZOTEztWamoqgoODOT/Jv3XrFmpqanDr1i08e/aMHWfkyJGQk5PrcjdrS0sLm9huaWnBnTt3UFRUBDk5OYwcOZKNa2trQ0JCAry9vfHOO6L/fAQHB+POnTts2QhPT0+EhYVh9uzZWLFiBYqLi7F161Zs2bKl12tsYGAAe3t7zJs3Dzt27MA777yDRYsWce4/0F6Cobq6mq15ffnyZQwaNAjDhw+HsrIyG3fy5EncuHFD7A5nQ0NDREZGsmUjGhsb2T6B9ge7FRUVQVlZGcOHD8eFCxfQ1NSECRMmcPqpqKhAY2Mjqqur8fjxY/Y+jBo1CpKSknB0dMSWLVuwfv16eHh44OHDh1i1ahW0tbXZpOOdO3cwZcoUJCUl4cMPPwSPx8OiRYuwYcMG6OvrY8SIEVizZg00NTXh4uLS6zV9VZ/R/Px83LlzB2PGjMGdO3ewbt06tLW1Yfny5Wwfb/IzunjxYlhYWCAiIgLu7u44d+4cdu/ejd27d7P9bN++HampqWxS3dbWFqNGjcKsWbOwefNmVFdXIyQkBPPnz4eUlBTb7tSpU9DV1eXUHyaEkL+jyk09f6FLCCGEEEL+4Rjy1iktLWXs7OwYFRUVRkpKihEIBExsbCx73tvbm3F2dmbWrl3LDB48mJGTk2PmzJnDPHnyhI2ZNGkSExQUxOnX2dmZ8fb2Zt8DYFJTUxmGYZgbN24wAJjffvuNPV9bW8sAYHJycthju3fvZoYOHcrw+XzGxcWF2bBhA6Ours4ZJy4ujtHV1WUGDhzICAQCJikpiXP++XHFjZ2Tk8MAYGprazlt9+7dywBgzp07J7Ju5eXljKurK6OoqMjw+XzG0NCQWbRoEdPW1tblmmhrazNbtmwROy+GYRgFBQUmISFBZKwOT58+ZTQ1NZnMzEyReQ4bNozh8/mMk5MTExUVxSgoKIisQ+eXtrY2p+9169Yxenp6jLS0NKOlpcUEBARw1iQhIYHp/J+xt7d3l3133EctLS0mKyuL06bjHnR+TZo0iRN3/PhxBgBz9erVLtfD29tbpM3FixeZCRMmMFJSUszQoUOZTZs2cc533OsbN2502SfDMExVVRXj6OjISElJMcOHD2eSkpJE7l9oaGiX19D5/nl4eDAWFhZix+rcpmN+nV8d/y2FhIQwM2fOFOln0qRJXbZ7/joPHjzImJmZMbKysoyKigrz0UcfMWVlZez5jvvy/H+DbW1tzJo1axg1NTVGSkqKmTJlisj9mDRpEue/9a68is9obm4uY2RkxEhJSTGDBw9mZs2axdy5c4fTx5v+jP7444/Mu+++y0hJSTGGhobM7t27OedDQ0M518AwDFNZWck4ODgwfD6fGTJkCPPZZ58xT58+5cTY2toykZGR3ayoqPr6egYAU19f36d2hBBCCCGEEELIi+jt36E8hnmJ356TfiEUClFXV4cffvihv6eCOXPm4MqVKzh16tQbGS88PBzfffcdLl269EbG642vvvoKaWlpOH78eH9PpUeFhYWYPHky7t+//0rKJbwKCQkJiIiIQGlp6Vszp74wMTFBSEgI3N3d+3sqLG1tbYSFhUEoFPb3VPrsbfyMlpSUYPLkySgvL4eCgkKv2zU0NEBBQQH19fVUT5gQQgghhBBCyGvX279DqWQE6ZOoqChMnToVsrKyyMjIwP79+xEXF/fax21sbERlZSW2b9+ODRs2vPbx+mLevHmoq6vDw4cPMWjQoP6eTrdaW1sRGxv71iTaACA9PR0RERFv1Zx6q6WlBR9//DEcHBz6eyqskpISKCgowMvLq7+n8kLexs9oVVUVkpKS+pQMJoQQQgghhBBC3la0Q/hvqD93CLu7uyM3NxcPHz6Erq4uFixYAH9//9c+rlAoxMGDB+Hi4oLk5OTXVhOYEEJeFdohTAghhBBCCCHkTert36Gv7wlk5LVJTEzst3IRhw8fxr179/D48WOUlJS8kWQw0H7Nzc3N+Pbbb19rMtjKygqLFi3qNobH470V5TrelM5roqOjg5iYmJfu9+rVq1BXV8fDhw/FxiQmJkJRUfGlxyL/9aru3z9NS0sLdHR0UFBQ0N9TIYQQQgghhBBCXitKCBPSR1VVVW9ViYA37fz585g7d+5L9xMcHIwFCxb0qcxGVVUVPD09IRAIICEhITZ5HxMTAwMDA/D5fGhpaWHx4sV48uRJt31v3LgRFhYWkJGR6TYJffPmTfD5fDQ2NqKkpAQff/wxdHR0wOPxeky0btq0CTwer8cvHQDg0qVL+Ne//gVpaWloaWlh8+bNPbZ5Ebt374aVlRXk5eXB4/FQV1fXZdyxY8cwbtw48Pl8KCkpwcXFpdt++7I2Pj4+CAkJAdD7+5CYmAgTExNIS0tDVVUV8+fP7+FK2+t96+joQFpaGuPGjcO5c+fYc5KSkli6dClWrFjRZVsrK6se+yeEEEIIIYQQQv4OqIYwIX2krq7e31PoVyoqKi/dx61bt3D06FHExsb2qV1zczNUVFQQEhKCLVu2dBmTnJyMlStXYt++fbCwsEB5eTmEQiF4PB6io6PF9t3S0oIZM2bA3Nwce/fuFRt35MgRWFtbQ05ODk1NTdDV1cWMGTOwePHibud+/vx57Nq1CyYmJj1eZ0NDA2xtbWFjY4OdO3fi8uXL8PX1haKi4itJxj+vqakJ9vb2sLe3R3BwcJcx//nPfzBnzhxERERg8uTJaG1tRXFxcY/99mZtnj17hqNHj+LYsWMAencfoqOj8eWXX+KLL77AuHHj8OjRI1RWVnY7n2+//RZLlizBzp07MW7cOMTExMDOzg5Xr16FqqoqAGDmzJn47LPPUFJSgtGjR6O8vByFhYX45JNP2H4KCwvx559/Yvr06d2ORwghbyudlcf6ewr/KJWbHPt7CoQQQgghfUY7hMk/yvfffw9jY2Pw+XwMHjwYNjY2ePToEYD2OsQuLi4ICwuDiooK5OXl4e/vj5aWFk4fbW1tWL58OZSVlaGuro5169Zxzj9fMqKyshI8Hg8pKSmwtraGjIwMTE1NkZeXx2kTHx8PLS0tyMjIwNXVFdHR0SK7H3fs2AE9PT1ISkrCwMAAX3/9tci4u3btwvTp0yEjIwMjIyPk5eWhoqICVlZWkJWVhYWFBa5fv87OTUJCQuQn8DExMdDW1kZbWxsAoLi4GA4ODpCTk4OamhpmzZqFBw8eiF3jziUHeDwe9uzZA1dXV8jIyEBfXx9paWli2wPtpUdMTU0xdOhQzvHExEQMHz6cXae//vpLZOytW7fCy8tL7AO+zpw5A0tLS3h6ekJHRwe2trbw8PDg7AbtSlhYGBYvXgxjY+Nu444cOYKPPvoIAPDBBx/giy++wCeffAIpKSmxbRobGzFz5kzEx8dDSUmp2/4B4MCBA2hpacG+ffswevRofPLJJ1i4cGG3Ce2u3Lt3D05OTuDz+RgxYgQOHDggErNo0SKsXLkS48eP77KP1tZWBAUF4YsvvoC/vz8EAgFGjRoFd3f3bsfu7dqcOXMGAwcOxAcffACg5/tQW1uLkJAQJCUlwdPTE3p6ejAxMWHviTjR0dGYM2cOfHx8MGrUKOzcuRMyMjLYt28fG6OkpARLS0scOnQIADBkyBDk5OTA3d0ddXV1WLt2LYKDg6Grq9vtWIQQQgghhBBCyNuMEsLkH6OqqgoeHh7w9fVFWVkZcnNz4ebmhuefm5idnc2eO3jwIFJSUhAWFsbpZ//+/ZCVlUV+fj42b96M9evXIysrq9uxV69ejaVLl6KoqAgCgQAeHh5obW0FAJw+fRr+/v4ICgpCUVERpk6dio0bN3Lap6amIigoCJ999hmKi4sxb948+Pj4ICcnhxMXHh4OLy8vFBUVwdDQEJ6enpg3bx6Cg4NRUFAAhmEQGBgIoD15amNjg4SEBE4fCQkJEAqFkJCQQF1dHSZPngwzMzMUFBQgMzMTd+/e7THZ11lYWBjc3d1x6dIlTJs2DTNnzkRNTY3Y+FOnTuH999/nHMvPz8fs2bMRGBiIoqIiWFtbY8OGDX2aBwBYWFjgwoULbAL4999/R3p6OqZNm8bGJCYmgsfj9bnvuro6/Prrrz0mHzubP38+HB0dYWNj0+V5oVDIKUmQl5eHiRMnQlJSkj3WsZu1tra21+MKhULcvn0bOTk5+P777xEXF4d79+71ae6FhYW4c+cOJCQkYGZmBg0NDTg4OIjsENbR0RH58qQ30tLS4OTk1Ov7kZWVhba2Nty5cwdGRkYYNmwY3N3dcfv2bU4cj8dDYmIigPZdxxcuXOCsv4SEBGxsbES+vPnwww9x6tQpAICysjJ27doFGxsbXLx4EdevX8fx48cxatSoLufW3NyMhoYGzosQQgghhBBCCHnbUEKY/GNUVVWhtbUVbm5u0NHRgbGxMQICAiAnJ8fGSEpKsrsuHR0dsX79emzbto3dLQsAJiYmCA0Nhb6+Pry8vPD+++8jOzu727GXLl0KR0dHCAQChIWF4ebNm6ioqAAAxMbGwsHBAUuXLoVAIEBAQIBIDeKoqCgIhUIEBARAIBBgyZIlcHNzQ1RUFCfOx8cH7u7uEAgEWLFiBSorKzFz5kzY2dnByMgIQUFByM3NZeP9/Pxw8OBBNDc3A2hP7l2+fBk+Pj4AgO3bt8PMzAwREREwNDSEmZkZ9u3bh5ycHJSXl/d67YVCITw8PDBy5EhERESgsbGx2x25N2/ehKamJufY1q1bYW9vj+XLl0MgEGDhwoWws7Pr9Rw6eHp6Yv369ZgwYQIGDhwIPT09WFlZYdWqVWyMgoICDAwM+tx3eno6TExMRObenUOHDqGwsBCRkZFiYzQ0NDB8+HD2fXV1NdTU1DgxHe+rq6t7NW55eTkyMjIQHx+P8ePH47333sPevXvx+PHjXs8daE+oA8C6desQEhKCo0ePQklJCVZWVpykv56eHoYMGdKnvgHujuvezqetrQ0RERGIiYnB999/j5qaGkydOpWz29/AwIDdRf7gwQM8e/asyzXtvJ6ampq4efMmgPbdyAEBAThx4gRMTU2hp6cHBwcHXL16tcu5RUZGQkFBgX1paWn1+roIIYQQQgghhJA3hRLC5B/D1NQUU6ZMgbGxMWbMmIH4+HiR3ZSmpqaQkZFh35ubm6OxsfH/s3fncTWm///AX6e0nDotiha0UadikspWWaJSJC0zGjG0YxJhEo0lWWJMsmQwtmJGDKbIUiRlSLKGlCwjGZNlpDi06v790a/72+1UyjIZn/fz8TiPx+e+7mt539c55vPoOtd5X5zdhW/meNXU1HzrrsqGbTQ1NQGAbVNQUIC+ffty6r95nZ+fD2tra06ZtbU18vPzmxynfnGr4U/r1dXVUVFRwe5MdHV1haSkJBITEwHU7YwdMmQIdHV1AQBXrlxBeno6BAIB+zIyMgIANvVESzSMS15eHoqKis3OWXl5OWRlZTll+fn56NevH6fM0tKyxTHUy8jIQGRkJNavX49Lly4hISEBhw8fxuLFi9k6bm5uuHHjRqv7bu3i5f379xEcHIydO3eKPW9Dy5Ytw44dO1odT3Py8/PRrl07WFhYsGVGRkbNHtTWmPovS+bOnYsvv/wSFhYWiI2NBY/Hw969e9l6aWlp7O701sT4999/w9bWtlXxVFdXY+3atXBwcED//v2xa9cu3Lp1i7Oj/saNG3Bzc2tVPADA5/Px6tUrAHX/hgcOHIg9e/ZAWVkZixYtwtKlS5v8siQsLAxlZWXs681dy4QQQgghhBBCyKeADpUjnw1JSUmkpqbizJkzOHbsGGJiYjB37lxkZ2dDT0+vxf1ISUlxrnk8HmcH8dva1P/0/W1t3kVj4zQ3trS0NCZMmIDY2Fi4u7sjPj4ea9asYeuLRCI4Ozvjhx9+EBurfmG7tXHVx9Hc83fo0KFVqQ9aY/78+Rg/fjz8/f0B1C2Yv3z5EhMnTsTcuXMhIfFu34NVVVUhJSWFs9P4bS5evIjHjx/D3NycLXv9+jX++OMPrFu3DpWVlZCUlBRrp6GhgUePHnHK6q//7UMN6z8HDdMkyMjIoGvXrigqKnqvvpOSkmBvb9/sYnlL4unYsSM6dOjQZDwdOnSApKRko3P65nyWlJSwBycaGhqK7SQ3NzfnvJ8NycjINJsvmRBCCCGEEEII+RTQDmHyWeHxeLC2tkZERAQuX74MaWlpdncsULcjtuFP5s+ePQuBQPBRf9ptaGiI8+fPc8revDY2NkZmZianLDMzs8lcpa3h7++P48ePY/369WxKjXrm5ua4fv06dHV1oa+vz3nJy8u/99hNMTMzQ15eHqfM2NgY2dnZnLKzZ8+2uu9Xr16JLfrWL7o2zCfdWhkZGWjfvj1MTU1b3MbW1hbXrl1DTk4O++rduzfGjRuHnJycRheDgbqd0X/88Qeqq6vZstTUVBgaGrboUDqgbjdwTU0NLl68yJYVFBSgtLS0xfEDgIWFBWRkZDhpEqqrq1FYWAgdHZ1W9fWmAwcOwMXFpVVt6nfSN4ynpKQE//zzT5PxSEtLw8LCgpP6pba2FmlpaWK70HNzc2FmZibWR8NULIQQQgghhBBCyH8Z7RAmn43s7GykpaVh2LBhUFNTQ3Z2Np48eQJjY2O2TlVVFfz8/DBv3jwUFhYiPDwcQUFB77xrtCWmTp2KQYMGITo6Gs7Ozjhx4gSSk5M5h2jNmjULHh4eMDMzg52dHQ4ePIiEhAQcP378vcc3NjZG//79MXv2bPj6+oLP57P3pkyZgs2bN8PT0xOhoaFQUVHB7du3sXv3bmzZsqXJBcv35eDgAH9/f7x+/ZodY9q0abC2tkZUVBRcXFxw9OhRpKSkiLXNyckBULe7+cmTJ8jJyYG0tDS7eO7s7Izo6GiYmZmhX79+uH37NubPnw9nZ2d2rMTERISFhXHSRhQVFaGkpARFRUV4/fo1O46+vj4EAgGSkpLE0kVUVVWxC9tVVVV48OABcnJyIBAIoK+vDwUFBXzxxRecNvLy8lBVVeWUh4WF4cGDB2zaiLFjxyIiIgJ+fn6YPXs2cnNzsWbNGqxatarFc2xoaAhHR0dMmjQJGzZsQLt27TB9+nTO+w/U5SR++PAhm/P62rVrUFBQgLa2NlRUVKCoqIjJkycjPDwcWlpa0NHRwY8//ggAGD16NNuPra0t3Nzc2LQRb5ubx48f48KFC0hKSuLE87b3QSgUwsXFBcHBwdi0aRMUFRURFhYGIyMjDBkyhO3HyMgIy5YtY9NGzJw5E15eXujduzf69u2L1atX4+XLl2w+7XqnTp3ipBchhJDPTeFyp7YOgRBCCCGEtDWGkM9EXl4e4+DgwHTs2JGRkZFhhEIhExMTw9738vJiXFxcmAULFjCqqqqMQCBgAgICmIqKCrbO4MGDmeDgYE6/Li4ujJeXF3sNgElMTGQYhmHu3r3LAGAuX77M3n/27BkDgElPT2fLNm3axHTu3Jnh8/mMq6srs2TJEkZDQ4Mzzvr165muXbsyUlJSjFAoZHbs2MG533DcpsZOT09nADDPnj3jtN26dSsDgDl37pzYvN28eZNxc3NjlJWVGT6fzxgZGTHTp09namtrG50THR0dZtWqVU3GxTAMo6SkxMTGxoqNVa+6uprp1KkTk5KSIhZnly5dGD6fzzg7OzNRUVGMkpKS2Dy8+dLR0eH0vXDhQqZbt26MrKwso6WlxQQGBnLmJDY2lnnzP39eXl6N9l3/PmppaTGpqamcNvXvwZuvwYMHN/nsjX3GvLy8xNpcuXKFGTBgACMjI8N07tyZWb58Oed+/Xt99+7dJscqLi5mnJycGBkZGUZbW5vZsWOH2PsXHh7e6DM0fP+qqqqY7777jlFTU2MUFBQYOzs7Jjc3lzOWjo4OEx4e3uK52bJlC2NtbS0W89veB4ZhmLKyMsbX15dRVlZmVFRUGDc3N6aoqIjTz5vPwDAMExMTw2hrazPS0tJM3759mbNnz3LunzlzhlFWVmZevXrV5Jy2RllZGQOAKSsr+yD9EUIIIYQQQgghzWnp36E8hnmP31AT8h/i7e2N0tJS7N+/v61DQUBAAG7cuIFTp079K+MtXrwYe/fuxdWrV/+V8Vrip59+QlJSEo4ePdrWobzVpUuXMHToUDx58kQsX3JbiY2NRWRkJPLy8j6ZmFpj1KhRGDBgAEJDQ9s6FNbXX38NU1PTVuWJbs7z58+hpKSEsrIyKCoqfpA+CSGEEEIIIYSQprT071BKGUHIvyAqKgr29vaQl5dHcnIytm/fjvXr13/0cUUiEQoLC7Fu3TosWbLko4/XGpMmTUJpaSlevHgBBQWFtg6nWTU1NYiJifmkFl6PHDmCyMjITyqm1hgwYAA8PT3bOgxWVVUVTExMMGPGjLYOhRBCCCGEEEII+ahohzD5n9GWO4Q9PDyQkZGBFy9eoGvXrpg6dSomT5780cf19vbGrl274Orqivj4+I+WE5gQIo52CBNCCCGEEEII+Te19O/Qj3eSFiGfmLi4uLcuBtvY2GD69OnN1uHxeK1eVN6zZw8eP36M8vJyXL9+/V9ZDAbqnrmyshK//fbbOy8Gvzknurq6WL169XvHVlBQAA0NDbx48aLJOnFxcVBWVn7vsUidwsJC8Hg89qA28n/mzJmDqVOntnUYhBBCCCGEEELIR0cLwoS0UnFxMYYPH97WYbSZ8+fPY+LEie/dT1hYGKZOndqqdBHFxcUYO3YshEIhJCQkmly8X716NQwNDcHn86GlpYUZM2agoqKi2b5LSkowbtw4KCoqQllZGX5+fhCJRGL1Tp48CS0tLQDAsmXL0KdPHygoKEBNTQ2urq4oKCjg1K+oqMCUKVOgqqoKgUCAL7/8Eo8ePXrrs+7duxdGRkaQlZWFiYkJjhw58tY272LatGmwsLCAjIwMevXq1WgdhmEQFRUFoVAIGRkZdO7cGUuXLm22X4ZhsGDBAmhqaoLP58POzg63bt0Sq1deXg55eXncvn0bCQkJsLe3R8eOHaGoqAhLS0uxHNMtmfPGXL16FQMHDoSsrCy0tLSwYsUKzv2QkBBs374df/75p1jbuLg4xMXFvXUMQgghhBBCCCHkv4ByCBPSShoaGm0dQpvq2LHje/dRVFSEQ4cOISYmplXtKisr0bFjR8ybNw+rVq1qtE58fDzmzJmDbdu2wcrKCjdv3oS3tzd4PB6io6Ob7HvcuHEoLi5Gamoqqqur4ePjg4kTJyI+Pp5T78CBA3B2dgZQtzg8ZcoU9OnTBzU1Nfj+++8xbNgw5OXlQV5eHgAwY8YMHD58GHv37oWSkhKCgoLg7u6OzMzMJmM5c+YMPD09sWzZMowcORLx8fFwdXXFpUuX8MUXX7RqzlrC19cX2dnZTR46GBwcjGPHjiEqKgomJiYoKSlBSUlJs32uWLECa9euxfbt26Gnp4f58+fDwcEBeXl5kJWVZeulpqZCR0cH+vr6WLduHezt7REZGQllZWXExsbC2dkZ2dnZMDMzA9CyOX/T8+fPMWzYMNjZ2WHjxo24du0afH19oayszH650aFDBzg4OGDDhg348ccfAQCrVq2Cv78/28+LFy+wZcsWyjNMCPlP051z+KP1Xbjc6aP1TQghhBBCPhzaIUw+K/v27YOJiQn4fD5UVVVhZ2eHly9fAqjLp+vq6oqIiAh2B+LkyZNRVVXF6aO2thahoaFQUVGBhoYGFi5cyLnfMGVE/U/wExISMGTIEMjJycHU1BRZWVmcNps3b4aWlhbk5OTg5uaG6OhosVQIGzZsQLdu3SAtLQ1DQ0P88ssvYuP+/PPPGDlyJOTk5GBsbIysrCzcvn0bNjY2kJeXh5WVFe7cucPGJiEhgQsXLnD6Wb16NXR0dFBbWwsAyM3NxfDhwyEQCKCuro7x48fjn3/+aXKO30wZwePxsGXLFri5uUFOTg4GBgZISkpqsj1Ql0LD1NQUnTt35pTHxcVBW1ubnaenT5+Kjb1mzRpMmDABSkpKjfZ95swZWFtbY+zYsdDV1cWwYcPg6emJc+fONRlPfn4+UlJSsGXLFvTr1w8DBgxATEwMdu/ejb///ptTNykpCaNGjQIApKSkwNvbGz169ICpqSni4uJQVFSEixcvAgDKysqwdetWREdHY+jQobCwsEBsbCzOnDmDs2fPNhnPmjVr4OjoiFmzZsHY2BiLFy+Gubk51q1b1/SkNuLcuXMwMzODrKwsevfujcuXL4vVWbt2LaZMmYKuXbs2OTcbNmzAgQMHMGrUKOjp6cHCwgL29vZNjsswDFavXo158+bBxcUFPXv2xI4dO/D333+LpVup7xeo+2yGhoaiT58+MDAwQGRkJAwMDHDw4EG2/tvmvDE7d+5EVVUVtm3bhh49emDMmDGYNm2a2BcEzs7O2L17N3vdvn172Nvb4/Tp0zh9+jTs7e3Rvn37JschhBBCCCGEEEL+C2hBmHw2iouL4enpCV9fX+Tn5yMjIwPu7u5oeG5iWloae2/Xrl1ISEhAREQEp5/t27dDXl4e2dnZWLFiBRYtWoTU1NRmx547dy5CQkKQk5MDoVAIT09P1NTUAAAyMzMxefJkBAcHIycnB/b29mI/t09MTERwcDC+++475ObmYtKkSfDx8UF6ejqn3uLFizFhwgTk5OTAyMgIY8eOxaRJkxAWFoYLFy6AYRgEBQUBqFs8tbOzQ2xsLKeP2NhYeHt7Q0JCAqWlpRg6dCjMzMxw4cIFpKSk4NGjR/Dw8GjV3EdERMDDwwNXr17FiBEjMG7cuGZ3kJ46dQq9e/fmlGVnZ8PPzw9BQUHIycnBkCFDsGTJklbFAQBWVla4ePEiuwD8559/4siRIxgxYgRbJy4uDjwej73OysqCsrIyJyY7OztISEggOzubLbt+/ToeP36MoUOHNjp2WVkZAEBFRQUAcPHiRVRXV8POzo6tY2RkBG1tbc6XBrq6upwvHrKysjhtAMDBwUHsi4bmiEQijBw5Et27d8fFixexcOFChISEtLh9vYMHD6Jr1644dOgQ9PT0oKurC39/f877W//FSEZGBgDg7t27ePjwIecZlJSU0K9fP84z1NbW4tChQ3BxcWl07NraWrx48YKdz8a8OedA3Zc/NjY27HVWVhYGDRoEaWlptszBwQEFBQV49uwZW9a3b1/89ddfKCwsZPvZs2cPDh06hEOHDmHPnj3w9vZuMpbKyko8f/6c8yKEEEIIIYQQQj41tCBMPhvFxcWoqamBu7s7dHV1YWJigsDAQAgEAraOtLQ0u0vQyckJixYtwtq1a9ndsgDQs2dPhIeHw8DAABMmTEDv3r2RlpbW7NghISFwcnKCUChEREQE7t27h9u3bwMAYmJiMHz4cISEhEAoFCIwMFAsB3FUVBS8vb0RGBgIoVCImTNnwt3dHVFRUZx6Pj4+8PDwgFAoxOzZs1FYWIhx48bBwcEBxsbGCA4OZhflAMDf3x+7du1CZWUlAODSpUu4du0afHx8AADr1q2DmZkZIiMjYWRkBDMzM2zbtg3p6em4efNmi+fe29sbnp6e0NfXR2RkJEQiUbM7cu/du4dOnTpxyup3xYaGhkIoFGLatGlwcHBocQz1xo4di0WLFmHAgAGQkpJCt27dYGNjg++//56to6SkBENDQ/b64cOHUFNT4/TTrl07qKio4OHDh2zZgQMH4ODgwFlYrFdbW4vp06fD2tqaTevw8OFDSEtLi+0GV1dX5/TbrVs3dOjQgROPurp6s23eJj4+HrW1tdi6dSt69OiBkSNHYtasWS1uX+/PP//EvXv3sHfvXuzYsQNxcXG4ePEivvrqK7aOlJQUDA0NIScnx8ZfH3Nzz1C/S7pfv36Njh0VFQWRSNTkFxSNzTkAaGpqQltbm71uaj4bxgqA/Uzeu3cPAPDrr7/Cw8MDTk5OcHJygoeHB3799ddGYwHq8hsrKSmxr/pc04QQQgghhBBCyKeEFoTJZ8PU1BS2trYwMTHB6NGjsXnzZs7uv/o69YtWAGBpaQmRSIT79++zZT179uS00dTUxOPHj5sdu2EbTU1NAGDbFBQUoG/fvpz6b17n5+fD2tqaU2ZtbY38/Pwmx6lf0DIxMeGUVVRUsDsTXV1dISkpicTERAB1O2OHDBkCXV1dAMCVK1eQnp4OgUDAvoyMjACATT3REg3jkpeXh6KiYrNzVl5ezskjC9TNwZsLg5aWli2OoV5GRgYiIyOxfv16XLp0CQkJCTh8+DAWL17M1nFzc8ONGzda3XfD9AZvmjJlCnJzczkpB1oqLS2N3dn9oeTn56Nnz56ceX6X+aytrUVlZSV27NiBgQMHwsbGBlu3bkV6ejp7mFvnzp1x48YNsc/12xw4cAAjR46EhIT4/xXFx8cjIiICe/bsEVusr9fUnC9btgw7duxoVSwAwOfzAQCvXr0CUPdvODU1FQMHDsTAgQORmpra7Oc6LCwMZWVl7Kvhf1cIIYQQQgghhJBPBS0Ik8+GpKQkUlNTkZycjO7duyMmJgaGhoa4e/duq/qRkpLiXPN4PM4O4re1qU9F8LY276KxcZobW1paGhMmTEBsbCyqqqoQHx8PX19ftr5IJIKzszNycnI4r1u3bmHQoEHvFFd9HM09f4cOHcQW6z+U+fPnY/z48fD394eJiQnc3NwQGRmJZcuWNRmThoaG2EJfTU0NSkpK2EMEi4uLcfnyZTg5iR+YExQUhEOHDiE9PR1dunTh9FtVVYXS0lJO/UePHjV7OKGGhgYePXrUqjYfi6amJtq1awehUMiWGRsbA6g7HLAx9XG+7Rka5mNuaPfu3fD398eePXvEUmfUa2rOm4qnsVgaxgqATYNRf3DizJkzoaCgwN5XUFDAzJkzmxxHRkYGioqKnBchhBBCCCGEEPKpoQVh8lnh8XiwtrZGREQELl++DGlpaXZ3LFC3I7a8vJy9Pnv2LAQCwUf9abehoSHOnz/PKXvz2tjYGJmZmZyyzMxMdO/e/b3H9/f3x/Hjx7F+/Xo2pUY9c3NzXL9+Hbq6utDX1+e85OXl33vsppiZmSEvL49TZmxszMnXC6DZg9ea8urVK7Edp5KSkgDAySfdkKWlJUpLSzkHk504cQK1tbXsruWDBw/CysqKk6u2PmdzYmIiTpw4AT09PU6/FhYWkJKS4qQcKSgoQFFRUbO7dS0tLcXSlKSmprZqh6+xsTGuXr2KiooKtuxd5tPa2ho1NTWcHeP16UR0dHQabaOnpwcNDQ3OMzx//hzZ2dnsM9y6dQv37t0TO5xu165d8PHxwa5duxpdfH/bnDfG0tISf/zxB6qrq9my1NRUGBoacg6Jy83NhZSUFHr06MFp7+3t3WzuYEIIIYQQQggh5L+kXVsHQMiHkp2djbS0NAwbNgxqamrIzs7GkydP2N2MAFBVVQU/Pz/MmzcPhYWFCA8PR1BQUKM/Wf9Qpk6dikGDBiE6OhrOzs44ceIEkpOTOYeazZo1Cx4eHjAzM4OdnR0OHjyIhIQEHD9+/L3HNzY2Rv/+/TF79mz4+vqyP4sH6n5yv3nzZnh6eiI0NBQqKiq4ffs2du/ejS1btrALqR+ag4MD/P398fr1a3aMadOmwdraGlFRUXBxccHRo0eRkpIi1jYnJwdA3e7mJ0+eICcnB9LS0uziubOzM6Kjo2FmZoZ+/frh9u3bmD9/PpydndmxEhMTERYWxqaNMDY2hqOjIwICArBx40ZUV1cjKCgIY8aMYfPKNrabdcqUKYiPj8eBAwegoKDA5qNVUlICn8+HkpIS/Pz8MHPmTKioqEBRURFTp06FpaUl+vfvz/Zja2sLNzc3Nm1EcHAwBg8ejJUrV8LJyQm7d+/GhQsXsGnTphbP8dixYzF37lwEBAQgLCwMhYWFYjmpAeD27dsQiUR4+PAhysvL2fnt3r07pKWlYWdnB3Nzc/j6+mL16tWora3FlClTYG9vz+4afvDgAWxtbbFjxw707dsXPB4P06dPx5IlS2BgYAA9PT3Mnz8fnTp1gqurK4C6dBF2dnacFC7x8fHw8vLCmjVr0K9fP3Y+6+eyJXMO1KVuePDgAZs2YuzYsYiIiICfnx9mz56N3NxcrFmzBqtWreLMxalTpzBw4EDOvxFCCPncFC4X/7KNEEIIIYT8j2EI+Uzk5eUxDg4OTMeOHRkZGRlGKBQyMTEx7H0vLy/GxcWFWbBgAaOqqsoIBAImICCAqaioYOsMHjyYCQ4O5vTr4uLCeHl5sdcAmMTERIZhGObu3bsMAOby5cvs/WfPnjEAmPT0dLZs06ZNTOfOnRk+n8+4uroyS5YsYTQ0NDjjrF+/nunatSsjJSXFCIVCZseOHZz7Dcdtauz09HQGAPPs2TNO261btzIAmHPnzonN282bNxk3NzdGWVmZ4fP5jJGRETN9+nSmtra20TnR0dFhVq1a1WRcDMMwSkpKTGxsrNhY9aqrq5lOnToxKSkpYnF26dKF4fP5jLOzMxMVFcUoKSmJzcObLx0dHU7fCxcuZLp168bIysoyWlpaTGBgIGdOYmNjmTf/8/f06VPG09OTEQgEjKKiIuPj48O8ePGCYRiGEYlEjKysLHPr1q23xgKA8+zl5eVMYGAg0759e0ZOTo5xc3NjiouLOf3o6Ogw4eHhnLI9e/YwQqGQkZaWZnr06MEcPnyYcz88PJzz3I3JyspiTE1NGWlpaaZXr17M77//LvaZGTx4cKPPcPfuXbbOgwcPGHd3d0YgEDDq6uqMt7c38/TpU/Z+/Wex4We+traWmT9/PqOurs7IyMgwtra2TEFBAXt/wIABzObNmznxNhXLm//+3jbnXl5ezODBgzl9X7lyhRkwYAAjIyPDdO7cmVm+fLnYfBkaGjK7du1qdk5bo6ysjAHAlJWVfbA+CSGEEEIIIYSQprT071AewzTxG2pCPjPe3t4oLS3F/v372zoUBAQE4MaNGzh16tS/Mt7ixYuxd+9eXL169V8ZryV++uknJCUl4ejRo20dylslJCRg3rx5Ymku2pKXlxd4PB7i4uLaOpRW++eff6CpqYm//vqLPRyxrSUnJ+O7777D1atX0a7dh/nxzPPnz6GkpISysjLKJ0wIIYQQQggh5KNr6d+hlDKCkH9BVFQU7O3tIS8vj+TkZGzfvh3r16//6OOKRCIUFhZi3bp1WLJkyUcfrzUmTZqE0tJSvHjxgnNw16dIIBDghx9+aOswWAzDICMjA6dPn27rUN5JSUkJoqOjP5nFYAB4+fIlYmNjP9hiMCGEEEIIIYQQ8qmiHcLkf0Zb7hD28PBARkYGXrx4ga5du2Lq1KmYPHnyRx/X29sbu3btgqurK+Lj4z9aTmBCiDjaIUwIIYQQQggh5N/U0r9DP95JWoR8YuLi4t66GGxjY4Pp06c3W4fH47V6UXnPnj14/PgxysvLcf369X9lMRioe+bKykr89ttv77wY/Oac6OrqYvXq1e8dW0FBATQ0NPDixYsm68TFxUFZWfm9xyL/50O9f5+bvLw8dOnSBS9fvmzrUAghhBBCCCGEkI+KFoQJaaXi4mIMHz68rcNoM+fPn8fEiRPfu5+wsDBMnTq1VekiiouLMXbsWAiFQkhISDS5eL969WoYGhqCz+dDS0sLM2bMQEVFRbN9l5SUYNy4cVBUVISysjL8/PwgEonE6p08eRJaWloAgD/++APOzs7o1KlTk18UiEQiBAUFoUuXLuDz+ejevTs2btz41me9evUqBg4cCFlZWWhpaWHFihVvbfMuNm3aBBsbGygqKoLH46G0tFSszqVLl2Bvbw9lZWWoqqpi4sSJjc7Nm/bu3QsjIyPIysrCxMQER44cabTekCFDsGXLFgDAtGnTYGFhARkZGfTq1Uus7sKFC8Hj8cRe8vLyzcZSUVGBKVOmQFVVFQKBAF9++SUePXrE3u/evTv69++P6OjoRtvb2Ni89XkJIYQQQgghhJD/AkqWSEgraWhotHUIbapjx47v3UdRUREOHTqEmJiYVrWrrKxEx44dMW/ePKxatarROvHx8ZgzZw62bdsGKysr3Lx5E97e3uDxeE0u9gHAuHHjUFxcjNTUVFRXV8PHxwcTJ05EfHw8p96BAwfg7OwMoC7vrKmpKXx9feHu7t5ovzNnzsSJEyfw66+/QldXF8eOHUNgYCA6deqEUaNGNdrm+fPnGDZsGOzs7LBx40Zcu3YNvr6+UFZW/iCL8Q29evUKjo6OcHR0RFhYmNj9v//+G3Z2dvj666+xbt06PH/+HNOnT4e3tzf27dvXZL9nzpyBp6cnli1bhpEjRyI+Ph6urq64dOkSvvjiC7ZeSUkJMjMzsXv3brbM19cX2dnZjR6CGBISIrbD3tbWFn369Gn2OWfMmIHDhw9j7969UFJSQlBQENzd3ZGZmcnW8fHxQUBAAMLCwtCuXTscOnQInTp1grm5OVtn9+7dMDc3h1AobHY8Qgj5VOnOOdzWIRAAhcud2joEQgghhPwPox3C5LOyb98+mJiYgM/nQ1VVFXZ2duxPwL29veHq6oqIiAh07NgRioqKmDx5Mqqqqjh91NbWIjQ0FCoqKtDQ0MDChQs59xvuBC0sLASPx0NCQgKGDBkCOTk5mJqaIisri9Nm8+bN0NLSgpycHNzc3BAdHS2WCmHDhg3o1q0bpKWlYWhoiF9++UVs3J9//hkjR46EnJwcjI2NkZWVhdu3b8PGxgby8vKwsrLCnTt32NgkJCRw4cIFTj+rV6+Gjo4OamtrAQC5ubkYPnw4BAIB1NXVMX78ePzzzz9NzvGbKQd4PB62bNkCNzc3yMnJwcDAAElJSU22B+pSaJiamqJz586c8ri4OGhra7Pz9PTpU7Gx16xZgwkTJkBJSanRvs+cOQNra2uMHTsWurq6GDZsGDw9PXHu3Lkm48nPz0dKSgq2bNmCfv36YcCAAYiJicHu3bvx999/c+omJSWxC7nDhw/HkiVL4Obm1mTfZ86cgZeXF2xsbKCrq4uJEyfC1NS02Xh27tyJqqoqbNu2DT169MCYMWMwbdq0Zhe0G/P48WM4OzuDz+dDT08PO3fuFKszffp0zJkzB/3792+0j0OHDkFKSgo//fQTDA0N0adPH2zcuBG///47bt++3eTYa9asgaOjI2bNmgVjY2MsXrwY5ubmWLduHafe4cOHYW5uzh4wt3btWkyZMgVdu3ZttF+BQAANDQ329ejRI+Tl5cHPz6/JWMrKyrB161ZER0dj6NChsLCwQGxsLM6cOYOzZ8+y9ezt7VFSUoKTJ08CALp27YqwsDCEh4ejtLQUHh4eSE9PR4cOHZocixBCCCGEEEII+dTRgjD5bBQXF8PT0xO+vr7Iz89HRkYG3N3d0fDcxLS0NPberl27kJCQgIiICE4/27dvh7y8PLKzs7FixQosWrQIqampzY49d+5chISEICcnB0KhEJ6enqipqQEAZGZmYvLkyQgODkZOTg7s7e2xdOlSTvvExEQEBwfju+++Q25uLiZNmgQfHx+kp6dz6i1evBgTJkxATk4OjIyMMHbsWEyaNAlhYWG4cOECGIZBUFAQgLrFUzs7O8TGxnL6iI2Nhbe3NyQkJFBaWoqhQ4fCzMwMFy5cQEpKCh49egQPD49WzX1ERAQ8PDxw9epVjBgxAuPGjUNJSUmT9U+dOoXevXtzyrKzs+Hn54egoCDk5ORgyJAhWLJkSaviAAArKytcvHiRXXD9888/ceTIEYwYMYKtExcXBx6Px15nZWVBWVmZE5OdnR0kJCSQnZ3Nll2/fh2PHz/G0KFDWxVPUlISHjx4AIZhkJ6ejps3b2LYsGFsHW9vb05KgqysLAwaNAjS0tJsmYODAwoKCvDs2bMWj+3t7Y379+8jPT0d+/btw/r16/H48eMWtwfqdmVLS0tDQuL//u+Cz+cDAE6fPs2W6erqcr48ycrKgp2dHacvBwcHsS9LkpKS4OLi0qqYGtqyZQuEQiEGDhzIlmVkZIDH46GwsBAAcPHiRVRXV3PiMTIygra2NiceaWlp9OrVC6dOnQJQl0bi6NGjuHXrFq5cuQI7Ozv8/PPPUFFRaTSWyspKPH/+nPMihBBCCCGEEEI+NbQgTD4bxcXFqKmpgbu7O3R1dWFiYoLAwEAIBAK2jrS0NLvr0snJCYsWLcLatWvZ3bIA0LNnT4SHh8PAwAATJkxA7969kZaW1uzYISEhcHJyglAoREREBO7du8funoyJicHw4cMREhICoVCIwMBAsRzEUVFR8Pb2RmBgIIRCIWbOnAl3d3dERUVx6vn4+MDDwwNCoRCzZ89GYWEhxo0bBwcHBxgbGyM4OBgZGRlsfX9/f+zatQuVlZUA6nLBXrt2DT4+PgCAdevWwczMDJGRkTAyMoKZmRm2bdvGLlq2lLe3Nzw9PaGvr4/IyEiIRKJmd8Deu3cPnTp14pTV7ygNDQ2FUCjEtGnT4ODg0OIY6o0dOxaLFi3CgAEDICUlhW7dusHGxgbff/89W0dJSQmGhobs9cOHD6Gmpsbpp127dlBRUcHDhw/ZsgMHDsDBwYGzUPs2MTEx6N69O7p06QJpaWk4Ojrip59+wqBBg9g6mpqa0NbW5sRTv2O2Xv11w3iac/PmTSQnJ2Pz5s3o378/LCwssHXrVpSXl7c4dgAYOnQoHj58iB9//BFVVVV49uwZ5syZA6Du31y9bt26cXbONvUMDeOvrKxESkpKk6kz3qaiogI7d+4U2x0sJycHQ0NDSElJsbFIS0uL7cp/Mx4A6NSpE+7duweg7uDD4cOHQ19fH6ampjh+/DgCAwObXJRftmwZlJSU2Fd9rmlCCCGEEEIIIeRTQgvC5LNhamoKW1tbmJiYYPTo0di8ebPYwo2pqSnk5OTYa0tLS4hEIty/f58t69mzJ6eNpqbmW3dVNmyjqakJAGybgoIC9O3bl1P/zev8/HxYW1tzyqytrZGfn9/kOPWLbSYmJpyyiooKdmeiq6srJCUlkZiYCKBuZ+yQIUOgq6sLALhy5QrS09MhEAjYl5GREQCwqSdaomFc8vLyUFRUbHbOysvLISsryynLz89Hv379OGWWlpYtjqFeRkYGIiMjsX79ely6dAkJCQk4fPgwFi9ezNZxc3PDjRs3Wt33gQMHWr14GRMTg7NnzyIpKQkXL17EypUrMWXKFBw/fpyts2zZMuzYsaPV8TQnPz8f7dq1g4WFBVtmZGQktij6Nj169MD27duxcuVKyMnJQUNDA3p6elBXV+fsGk5LS2N3p7fUiRMnoKamhh49erSqXb3ExES8ePECXl5enPK+ffvixo0bYilJWoLP5+PVq1cA6hbVly5dikWLFkFZWRl79uzBwIED8eTJk0bbhoWFoaysjH01/O8KIYQQQgghhBDyqaBD5chnQ1JSEqmpqThz5gyOHTuGmJgYzJ07F9nZ2dDT02txP/W7CuvxeDzODuK3talPRfC2Nu+isXGaG1taWhoTJkxAbGws3N3dER8fjzVr1rD1RSIRnJ2d8cMPP4iNVb+w3dq46uNo7vk7dOjQqtQHrTF//nyMHz8e/v7+AOoWzF++fImJEydi7ty5nEXMehoaGmIL2DU1NSgpKWEPESwuLsbly5fh5NTyQ2DKy8vx/fffIzExkW3Xs2dP5OTkICoqSiylQsN4Hj16xCmrv26LQw3Hjh2LsWPH4tGjR5CXl2cP6Gsqzy/Q9DM0jL9hPuZ3sWXLFowcOVJsJ3JjsVRVVaG0tJSzIP5mPEDdIXfdunUDAPbwwIY8PT2bHEdGRgYyMjKteAJCCCGEEEIIIeTfRzuEyWeFx+PB2toaERERuHz5MqSlpdndsUDdjtiGP5k/e/YsBALBR/1pt6GhIc6fP88pe/Pa2NgYmZmZnLLMzEx07979vcf39/fH8ePHsX79ejalRj1zc3Ncv34durq60NfX57zk5eXfe+ymmJmZIS8vj1NmbGzMydcLgHPgV0u9evVKbNFXUlISADj5pBuytLREaWkpLl68yJadOHECtbW17K7lgwcPwsrKqsn8sY2prq5GdXV1o/E0t2BuaWmJP/74A9XV1WxZamoqDA0N0b59+xaNbWRkhJqaGs4zFRQUoLS0tMXxv0ldXR0CgQC//fYbZGVlYW9v3+wzvJlqJTU1ld31zTAMDh48+M75g+/evYv09PRmD5OrZ2FhASkpKU48BQUFKCoqEtuFnpubCzMzM7E+GqZiIYQQQgghhBBC/stohzD5bGRnZyMtLQ3Dhg2DmpoasrOz8eTJExgbG7N1qqqq4Ofnh3nz5qGwsBDh4eEICgpqdNfohzJ16lQMGjQI0dHRcHZ2xokTJ5CcnMw51GzWrFnw8PCAmZkZ7OzscPDgQSQkJHDSCrwrY2Nj9O/fH7Nnz4avry97IBgATJkyBZs3b4anpydCQ0OhoqKC27dvY/fu3diyZQu7kPqhOTg4wN/fH69fv2bHmDZtGqytrREVFQUXFxccPXoUKSkpYm1zcnIA1O1ufvLkCXJyciAtLc0unjs7OyM6OhpmZmbo168fbt++jfnz58PZ2ZkdKzExEWFhYWzaCGNjYzg6OiIgIAAbN25EdXU1goKCMGbMGDbXcWO7WUUiEZsrGqhbpMzJyYGKigq0tbWhqKiIwYMHY9asWeDz+dDR0cHJkyexY8cOREdHs+3CwsLw4MEDNm3E2LFjERERAT8/P8yePRu5ublYs2YNVq1a1eI5NjQ0hKOjIyZNmoQNGzagXbt2mD59Ouf9B+ry6z58+JB9jmvXrkFBQQHa2trs4ve6detgZWUFgUCA1NRUzJo1C8uXL+fstrW1tYWbmxubNiI4OBiDBw/GypUr4eTkhN27d+PChQvYtGkTgLqD3l69eoUBAwZw4rl9+zZEIhEePnyI8vJy9v3u3r07J3fztm3boKmpKZaPGwDOnTuHCRMmIC0tDZ07d4aSkhL8/Pwwc+ZMqKioQFFREVOnToWlpSX69+/PtissLMSDBw+a3LlNCCGfg8LlLf+lCyGEEEII+UwxhHwm8vLyGAcHB6Zjx46MjIwMIxQKmZiYGPa+l5cX4+LiwixYsIBRVVVlBAIBExAQwFRUVLB1Bg8ezAQHB3P6dXFxYby8vNhrAExiYiLDMAxz9+5dBgBz+fJl9v6zZ88YAEx6ejpbtmnTJqZz584Mn89nXF1dmSVLljAaGhqccdavX8907dqVkZKSYoRCIbNjxw7O/YbjNjV2eno6A4B59uwZp+3WrVsZAMy5c+fE5u3mzZuMm5sbo6yszPD5fMbIyIiZPn06U1tb2+ic6OjoMKtWrWoyLoZhGCUlJSY2NlZsrHrV1dVMp06dmJSUFLE4u3TpwvD5fMbZ2ZmJiopilJSUxObhzZeOjg6n74ULFzLdunVjZGVlGS0tLSYwMJAzJ7Gxscyb//l7+vQp4+npyQgEAkZRUZHx8fFhXrx4wTAMw4hEIkZWVpa5desWp039fL/5avh5KS4uZry9vZlOnToxsrKyjKGhIbNy5Up2fhmm7rM5ePBgTt9XrlxhBgwYwMjIyDCdO3dmli9f3ujYd+/ebXKei4uLGScnJ0ZGRobR1tZmduzYIfb+hYeHN/oMDd+/8ePHMyoqKoy0tDTTs2dPsc8mw9R9LsLDwzlle/bsYYRCISMtLc306NGDOXz4MHtv3rx5zLhx48T6GTx4cKPxNHzO169fM126dGG+//77Rp+7sbkpLy9nAgMDmfbt2zNycnKMm5sbU1xczGkXGRnJODg4NNrnuygrK2MAMGVlZR+sT0IIIYQQQgghpCkt/TuUxzBN/IaakM+Mt7c3SktLsX///rYOBQEBAbhx4wZOnTr1r4y3ePFi7N27F5IyuvIAAQAASURBVFevXv1XxmuJn376CUlJSTh69Ghbh/JWCQkJmDdvnliai7YUGxuLyMhI5OXlieVw/i/o2bMn5s2bBw8Pj7YOBUDdrwcMDAwQHx8vdsDju3r+/DmUlJRQVlYGRUXFD9InIYQQQgghhBDSlJb+HUopIwj5F0RFRcHe3h7y8vJITk7G9u3bsX79+o8+rkgkQmFhIdatW4clS5Z89PFaY9KkSSgtLcWLFy+goKDQ1uE0SyAQNHrwXls6cuQIIiMj/5OLwVVVVfjyyy8bTffQVoqKivD9999/sMVgQgghhBBCCCHkU0WHyhHSgI2NDaZPn95sHR6P1+pdxufOnYO9vT1MTEywceNGrF27Fv7+/u8eaAsFBQXBwsICNjY28PX1fac+3pwTXV1drF69+r1ju3PnDmJiYpqtExcXx8lT21aGDRsGZ2fntg6DY+/evRg9enSr273L5/dDk5aWRnh4+Cf1RcDt27exYcOGZg/7I4QQQgghhBBCPge0IEz+Z8TFxX2QhbDi4uJW72zcs2cPHj9+jPLycly/fh2TJ09+7zhaIi4uDpWVlfjtt98+2AFx58+fx8SJE9+7n7CwMEydOrVVi4LFxcUYO3YshEIhJCQkGl28t7GxAY/HE3s5OTV9iM6VK1fg6ekJLS0t8Pl8GBsbY82aNY3W3b59O3sQWkJCAoYNGwZVVVXweDz2ALQ3ZWVlYejQoZCXl4eioiIGDRqE8vLyZp81IyMD5ubmkJGRgb6+PuLi4pqt/66WLl0KKysryMnJNbn4fv78edja2kJZWRnt27eHg4MDrly50my/y5YtQ58+faCgoAA1NTW4urqioKCg0bp6eno4fvw4Kioq4O3tDRMTE7Rr1w6urq5idTMyMhp9fx8+fNhsPCUlJRg3bhwUFRWhrKwMPz8/iEQi9r6joyOkpKSwc+dOsbaFhYXw9vZutn9CCCGEEEIIIeS/glJGENJKGhoabR1Cm+rYseN791FUVIRDhw69dYfwmyorK9GxY0fMmzcPq1atarROQkICqqqq2OunT5/C1NS02d20Fy9ehJqaGn799VdoaWnhzJkzmDhxIiQlJREUFMSpe+DAAYwaNQoA8PLlSwwYMAAeHh4ICAhotO+srCw4OjoiLCwMMTExaNeuHa5cuQIJiaa/j7t79y6cnJwwefJk7Ny5E2lpafD394empiYcHByabPcuqqqqMHr0aFhaWmLr1q1i90UiERwdHTFq1CisX78eNTU1CA8Ph4ODA+7fv99kyoqTJ09iypQp6NOnD2pqavD9999j2LBhyMvLg7y8PFvv6tWrePbsGQYPHoyqqirw+XxMmzYNv//+e7NxFxQUcPIhqampNVt/3LhxKC4uRmpqKqqrq+Hj44OJEyciPj6erePt7Y21a9di/PjxAICdO3eif//+7JcpDMNg/fr1GDt2LNq3b9/seIQQ8qnSnXO4rUMgrVS4vOkvtQkhhBBC3gXtECaflX379sHExAR8Ph+qqqqws7PDy5cvAdQt9ri6uiIiIgIdO3aEoqIiJk+ezFk8BIDa2lqEhoZCRUUFGhoaWLhwIed+w5/cFxYWgsfjISEhAUOGDIGcnBxMTU2RlZXFabN582ZoaWlBTk4Obm5uiI6OFtuNuWHDBnTr1g3S0tIwNDTEL7/8Ijbuzz//jJEjR0JOTg7GxsbIysrC7du3YWNjA3l5eVhZWeHOnTtsbBISErhw4QKnn9WrV0NHR4f9aXxubi6GDx8OgUAAdXV1jB8/Hv/880+Tc/xmyggej4ctW7bAzc0NcnJyMDAwQFJSUpPtgbod06ampujcuTOnPC4uDtra2uw8PX36VGzsNWvWYMKECVBSUmq07/r3rf6VmpoKOTm5ZheEfX19sWbNGgwePBhdu3bFN998Ax8fHyQkJHDqVVRU4NixY+yC8Pjx47FgwQLY2dk12feMGTMwbdo0zJkzBz169IChoSE8PDwgIyPTZJuNGzdCT08PK1euhLGxMYKCgvDVV181uQjelFu3bmHQoEGQlZVF9+7dkZqaKlYnIiICM2bMgImJSaN93LhxAyUlJVi0aBEMDQ3Ro0cPhIeH49GjR7h3716TY6ekpMDb2xs9evSAqakp4uLiUFRUhIsXL3LqHThwgN2dKy8vjw0bNiAgIOCtX7yoqalx3ufmFtjz8/ORkpKCLVu2oF+/fhgwYABiYmKwe/du/P3332w9Z2dnXLhwgf03pKenBy8vL2zcuBF//fUXHB0d8eDBg2bfO0IIIYQQQggh5FNHC8Lks1FcXAxPT0/4+voiPz8fGRkZcHd3B8MwbJ20tDT23q5du5CQkICIiAhOP9u3b4e8vDyys7OxYsUKLFq0qNGFtIbmzp2LkJAQ5OTkQCgUwtPTEzU1NQCAzMxMTJ48GcHBwcjJyYG9vT2WLl3KaZ+YmIjg4GB89913yM3NxaRJk+Dj44P09HROvcWLF2PChAnIycmBkZERxo4di0mTJiEsLAwXLlwAwzDsjlZdXV3Y2dkhNjaW00dsbCy8vb0hISGB0tJSDB06FGZmZrhw4QJSUlLw6NEjeHh4tGruIyIi4OHhgatXr2LEiBEYN24cSkpKmqx/6tQp9O7dm1OWnZ0NPz8/BAUFIScnB0OGDPkgB+Ft3boVY8aM4exKXbhwIXR1dZttV1ZWBhUVFU5ZWloaOnfuDCMjoxaN/fjxY2RnZ0NNTQ1WVlZQV1fH4MGDcfr0aU49GxsbTkqCrKwssUVmBwcHsS8amlNbWwt3d3dIS0sjOzsbGzduxOzZs1vcvp6hoSFUVVWxdetWVFVVoby8HFu3boWxsTFnDnk8XrNpLcrKygBAbE6TkpLg4uLS6rh69eoFTU1N2NvbIzMzk3MvLi4OPB6Pvc7KyoKysjLnM2dnZwcJCQlkZ2ezZdra2lBXV8epU6cAAFZWVkhPT0dWVhYyMjIwffp0REZGQk5OrtXxEkIIIYQQQgghnwpaECafjeLiYtTU1MDd3R26urowMTFBYGAgBAIBW0daWhrbtm1Djx494OTkhEWLFmHt2rWcg6R69uyJ8PBwGBgYYMKECejduzfS0tKaHTskJAROTk4QCoWIiIjAvXv3cPv2bQBATEwMhg8fjpCQEAiFQgQGBorlII6KioK3tzcCAwMhFAoxc+ZMuLu7IyoqilPPx8cHHh4eEAqFmD17NgoLCzFu3Dg4ODjA2NgYwcHByMjIYOv7+/tj165dqKysBABcunQJ165dg4+PDwBg3bp1MDMzQ2RkJIyMjGBmZoZt27YhPT0dN2/ebPHce3t7w9PTE/r6+oiMjIRIJMK5c+earH/v3j106tSJU7ZmzRo4OjoiNDQUQqEQ06ZNe+/0COfOnUNubq7YAX4dOnRAt27dmmx35swZ/Pbbb2K5khumi2iJP//8E0DdAnRAQABSUlJgbm4OW1tb3Lp1i62nra0NTU1N9vrhw4dQV1fn9KWuro7nz5+/NfdwvePHj+PGjRvYsWMHTE1NMWjQIERGRrY49noKCgrIyMjAr7/+Cj6fD4FAgJSUFCQnJ6Ndu//LOmRoaNjkru3a2lpMnz4d1tbW+OKLL9jyBw8e4OrVq63Kya2pqYmNGzfi999/x++//w4tLS3Y2Njg0qVLbB0lJSUYGhqy1w8fPhRLKdGuXTuoqKiI5R7u1KkTu/M5Ozsbtra2sLS0hI2NDVavXo0FCxagoqKi0dgqKyvx/PlzzosQQgghhBBCCPnU0IIw+WyYmprC1tYWJiYmGD16NDZv3oxnz56J1Wm4u8/S0hIikQj3799ny3r27Mlpo6mpicePHzc7dsM29Qt79W0KCgrQt29fTv03r/Pz82Ftbc0ps7a2Rn5+fpPj1C8YNvypv7q6OioqKtiFKFdXV0hKSiIxMRFA3c7JIUOGsDs7r1y5gvT0dAgEAvZVv/u1/mfzLdEwrvqD05qbs/LycsjKynLK8vPz0a9fP06ZpaVli2NozNatW2FiYiI230FBQU0u8ufm5sLFxQXh4eEYNmwYW84wDA4ePNiqBeH6Lxrqd3ybmZlh1apVMDQ0xLZt29h6O3bswLJly1rzaG+Vn58PLS0tzsL7u8xneXk5/Pz8YG1tjbNnzyIzMxNffPEFnJycOIvTN27cgJubW6N9TJkyBbm5udi9ezenPCkpCQMGDGjyMLvGGBoaYtKkSbCwsICVlRW2bdsGKysrTjoNNzc33Lhxo3UP+v/x+Xy8evUKQF3KjdjYWEyePBldunRBSkoK1NXV2ftvWrZsGZSUlNiXlpbWO8VACCGEEEIIIYR8TLQgTD4bkpKSSE1NRXJyMrp3746YmBgYGhri7t27rernzUOyeDweZwfx29rU/1T9bW3eRWPjNDe2tLQ0JkyYgNjYWFRVVSE+Ph6+vr5sfZFIBGdnZ+Tk5HBe9bln3yWu+jiae/4OHTqILdZ/aC9fvsTu3bvh5+fX4jZ5eXmwtbXFxIkTMW/ePM69c+fOoaamBlZWVi3ur/7Lge7du3PKjY2NUVRU1GQ7DQ0NPHr0iFP26NEjKCoqgs/nt3j8DyE+Ph6FhYWIjY1Fnz590L9/f8THx+Pu3bs4cODAW9sHBQXh0KFDSE9PR5cuXTj3kpKSWrXA3pS+ffuyO/Ibo6GhIfYFRU1NDUpKSsRyFZeUlLAHJ37zzTecneQ8Hg9TpkwRS3tRLywsDGVlZeyr4RdNhBBCCCGEEELIp4IWhMlnhcfjwdraGhEREbh8+TKkpaXZ3bFA3Y7Yhrsaz549C4FA8FF38hkaGuL8+fOcsjevjY2NxfKgZmZmii0kvgt/f38cP34c69evZ1Nq1DM3N8f169ehq6sLfX19zqthzt0PzczMDHl5eZwyY2NjTj5XoO79eVd79+5FZWUlvvnmmxbVv379OoYMGQIvLy+xHM9AXboIJycnSEpKtjgGXV1ddOrUCQUFBZzymzdvQkdHp8l2lpaWYjuYU1NTW7XD19jYGPfv30dxcTFb9i7z+erVK0hISHBy8tZfN7foX5/POjExESdOnICenh7nvkgkQnp6+jvlD35TTk4OJ+XGmywtLVFaWso50O7EiROora3l7EqvqKjAnTt3YGZmxmmvq6vbbH7kejIyMlBUVOS8CCGEEEIIIYSQT027t1ch5L8hOzsbaWlpGDZsGNTU1JCdnY0nT57A2NiYrVNVVQU/Pz/MmzcPhYWFCA8PR1BQECQkPt53I1OnTsWgQYMQHR0NZ2dnnDhxAsnJyZwFtlmzZsHDwwNmZmaws7PDwYMHkZCQgOPHj7/3+MbGxujfvz9mz54NX19fzg7TKVOmYPPmzfD09ERoaChUVFRw+/Zt7N69G1u2bGnV4mdrODg4wN/fH69fv2bHmDZtGqytrREVFQUXFxccPXoUKSkpYm1zcnIA1C0oPnnyBDk5OZCWlhZbPN+6dStcXV2hqqoq1se6deuQmJjILrrm5uZi6NChcHBwwMyZM9m8spKSkuxu0aSkJCxatIjTT0lJCYqKivD3338DALvwq6GhAQ0NDfB4PMyaNQvh4eEwNTVFr169sH37dty4cQP79u1j+5kwYQI6d+7Mpo2YPHky1q1bh9DQUPj6+uLEiRPYs2cPDh8+3OI5trOzg1AohJeXF3788Uc8f/4cc+fOFatXVFTEPsfr16/Z+dXX14dAIIC9vT1mzZqFKVOmYOrUqaitrcXy5cvRrl07DBkyhO3HyMgIy5YtY9NGTJkyBfHx8Thw4AAUFBTYOVVSUgKfz0dKSgqEQqHY4X55eXmoqqpCSUkJXrx4wcbTq1cvAMDq1auhp6eHHj16oKKiAlu2bMGJEydw7Ngxto/ExESEhYWxaSOMjY3h6OiIgIAAbNy4EdXV1QgKCsKYMWM4KTXOnj0LGRmZ905VQgghn7LC5U5tHQIhhBBCCGlrDCGfiby8PMbBwYHp2LEjIyMjwwiFQiYmJoa97+Xlxbi4uDALFixgVFVVGYFAwAQEBDAVFRVsncGDBzPBwcGcfl1cXBgvLy/2GgCTmJjIMAzD3L17lwHAXL58mb3/7NkzBgCTnp7Olm3atInp3Lkzw+fzGVdXV2bJkiWMhoYGZ5z169czXbt2ZaSkpBihUMjs2LGDc7/huE2NnZ6ezgBgnj17xmm7detWBgBz7tw5sXm7efMm4+bmxigrKzN8Pp8xMjJipk+fztTW1jY6Jzo6OsyqVauajIthGEZJSYmJjY0VG6tedXU106lTJyYlJUUszi5dujB8Pp9xdnZmoqKiGCUlJbF5ePOlo6PDqXPjxg0GAHPs2LFGxw8PD+e0CQ8Pb7bf27dvMzIyMoxIJOL0Exsb22i78PBwTr1ly5YxXbp0YeTk5BhLS0vm1KlTnPuDBw/mfMYYpu697NWrFyMtLc107dpVbD7rx25OQUEBM2DAAEZaWpoRCoVMSkqK2Pvl5eXV6DM0/PweO3aMsba2ZpSUlJj27dszQ4cOZbKysjhjAeDE2FifDet88803zNy5c8Vi1tHRabRdvR9++IHp1q0bIysry6ioqDA2NjbMiRMn3jo3T58+ZTw9PRmBQMAoKioyPj4+zIsXLzh1Jk6cyEyaNKnZOW2NsrIyBgBTVlb2wfokhBBCCCGEEEKa0tK/Q3kMwzAfY6GZkE+Nt7c3SktLsX///rYOBQEBAbhx4wZOnTr1r4y3ePFi7N27F1evXv1XxmuJn376CUlJSTh69Ghbh/JW0dHROH78OI4cOdLWobDCw8Nx8uRJZGRktHUorVZTUwN1dXUkJyeLHfjXVv755x8YGhriwoULYukt3tXz58+hpKSEsrIySh9BCCGEEEIIIeSja+nfoZQygpB/QVRUFOzt7SEvL4/k5GRs374d69ev/+jjikQiFBYWYt26dViyZMlHH681Jk2ahNLSUrx48QIKCgptHU6zunTpgrCwsLYOgyM5ORnr1q1r6zDeSUlJCWbMmIE+ffq0dSiswsJCrF+//oMtBhNCCCGEEEIIIZ8q2iFM/me05Q5hDw8PZGRk4MWLF+jatSumTp2KyZMnf/Rxvb29sWvXLri6uiI+Pv6j5QQmhIijHcKEEEIIIYQQQv5NLf079OOdpEU+OhsbG0yfPr3ZOjwe75NIkfBveXNOdHV1sXr1agBAXFzcO89FQUEBNDQ08OLFiybrxMXFQVlZudF7e/bswePHj1FeXo7r16//K4vB9TFVVlbit99++08uBjd8/8j7a+4z+r9uzpw5mDp1aluHQQghhBBCCCGEfHS0IPyZKy4uxvDhw9s6jDZz/vx5TJw48b37CQsLw9SpU1uV2qC4uBhjx46FUCiEhIREo4v3NjY24PF4Yi8np+ZPAJ82bRosLCwgIyODXr16NVnv5MmT0NLSAgD88ccfcHZ2RqdOnZr9oiA/Px+jRo2CkpIS5OXl0adPHxQVFTUbz9WrVzFw4EDIyspCS0sLK1asaLb+u9q0aRNsbGygqKgIHo+H0tJSsTo3b96Ei4sLOnToAEVFRQwYMADp6enN9nv9+nV8+eWX0NXVBY/Ha3YR2sfHB/PmzQMALF26FFZWVpCTk2tyobWx93f37t3NxsMwDBYsWABNTU3w+XzY2dnh1q1bzbZ5Fy35jAJAaWkppkyZAk1NTcjIyEAoFL41n3JL5gYA7t27Bz6fD5FI1KL3of7em68pU6Y0G8/bPqMhISHYvn07/vzzT7G2cXFxiIuLa7Z/QgghhBBCCCHkv4JyCH/mNDQ02jqENtWxY8f37qOoqAiHDh1CTExMq9pVVlaiY8eOmDdvHlatWtVonYSEBFRVVbHXT58+hampKUaPHv3W/n19fZGdnd3sQXEHDhyAs7MzAODly5cwNTWFr68v3N3dG61/584dDBgwAH5+foiIiICioiKuX78OWVnZJsd4/vw5hg0bBjs7O2zcuBHXrl2Dr68vlJWVP8hifEOvXr2Co6MjHB0dm8zpO3LkSBgYGODEiRPg8/lYvXo1Ro4ciTt37jT57+HVq1fo2rUrRo8ejRkzZjQ5/uvXr3Ho0CEcPnwYAFBVVYXRo0fD0tISW7dubbJdbGwsHB0d2eu37dJdsWIF1q5di+3bt0NPTw/z58+Hg4MD8vLymn0vWqsln9GqqirY29tDTU0N+/btQ+fOnXHv3r23PkNL5+bAgQMYMmQIBAJBi96H8+fP4/Xr1+x1bm4u7O3tm/0305LPaIcOHeDg4IANGzbgxx9/BACsWrUK/v7+bD8vXrzAli1bmv2MEELIp053zuG2DuGzVri8+S/1CSGEEEI+BbRDuA3t27cPJiYm4PP5UFVVhZ2dHV6+fAmgLverq6srIiIi0LFjRygqKmLy5MmcxUMAqK2tRWhoKFRUVKChoYGFCxdy7jfcCVpYWAgej4eEhAQMGTIEcnJyMDU1RVZWFqfN5s2boaWlBTk5Obi5uSE6Olps8WfDhg3o1q0bpKWlYWhoiF9++UVs3J9//hkjR46EnJwcjI2NkZWVhdu3b8PGxgby8vKwsrLCnTt32NgkJCRw4cIFTj+rV6+Gjo4OamtrAdQt/gwfPhwCgQDq6uoYP348/vnnnybn+M2UAzweD1u2bIGbmxvk5ORgYGCApKSkJtsDdekeTE1N0blzZ055XFwctLW12Xl6+vSp2Nhr1qzBhAkToKSk1Gjf9e9b/Ss1NRVycnJvXRBeu3YtpkyZgq5duzZbLykpCaNGjQIADB8+HEuWLIGbm1uT9efOnYsRI0ZgxYoVMDMzQ7du3TBq1Cioqak12Wbnzp2oqqrCtm3b0KNHD4wZMwbTpk1DdHR0s7G96fHjx3B2dgafz4eenh527twpVmf69OmYM2cO+vfv32gf//zzD27duoU5c+agZ8+eMDAwwPLly/Hq1Svk5uY2OXafPn3w448/YsyYMZCRkWmy3pkzZyAlJcUehhYREYEZM2bAxMSk2WdTVlbmvM/NLeoyDIPVq1dj3rx5cHFxQc+ePbFjxw78/fffrU558iE+o9u2bUNJSQn2798Pa2tr6OrqYvDgwTA1NW127JbOzYEDB9jPaEveh44dO3Lm8tChQ+jWrRsGDx7c5Bgt/Yw6Oztzdm+3b98e9vb2OH36NE6fPg17e3u0b9++2echhBBCCCGEEEI+dbQg3EaKi4vh6ekJX19f5OfnIyMjA+7u7mh4xl9aWhp7b9euXUhISEBERASnn+3bt0NeXh7Z2dlYsWIFFi1ahNTU1GbHnjt3LkJCQpCTkwOhUAhPT0/U1NQAADIzMzF58mQEBwcjJycH9vb2WLp0Kad9YmIigoOD8d133yE3NxeTJk2Cj4+P2M/yFy9ejAkTJiAnJwdGRkYYO3YsJk2ahLCwMFy4cAEMwyAoKAhA3cKUnZ0dYmNjOX3ExsbC29sbEhISKC0txdChQ2FmZoYLFy4gJSUFjx49goeHR6vmPiIiAh4eHrh69SpGjBiBcePGoaSkpMn6p06dQu/evTll2dnZ8PPzQ1BQEHJycjBkyBAsWbKkVXE0ZuvWrRgzZgzk5eXZsoULF0JXV7fVfV2/fh2PHz/G0KFDW1S/trYWhw8fhlAohIODA9TU1NCvXz+xRUhvb2/Y2Niw11lZWRg0aBCkpaXZMgcHBxQUFODZs2ctjtfb2xv3799Heno69u3bh/Xr1+Px48ctbg8AqqqqMDQ0xI4dO/Dy5UvU1NTg559/hpqaGiwsLNh6urq6Yl+etERSUhKcnZ3B4/Fa1W7KlCno0KED+vbti23btnH+ndd/UZORkQEAuHv3Lh4+fAg7Ozu2jpKSEvr16yf25U1zPtRnNCkpCZaWlpgyZQrU1dXxxRdfIDIykrNLNy4urtVzAtSlojh9+jS7INxaVVVV+PXXX+Hr68sZ/10/o3379sVff/2FwsJCtp89e/bg0KFDOHToEPbs2QNvb+93ipUQQgghhBBCCPlU0IJwGykuLkZNTQ3c3d2hq6sLExMTBAYGQiAQsHWkpaXZHW1OTk5YtGgR1q5dy+6WBYCePXsiPDwcBgYGmDBhAnr37o20tLRmxw4JCYGTkxOEQiEiIiJw79493L59GwAQExOD4cOHIyQkBEKhEIGBgWI5iKOiouDt7Y3AwEAIhULMnDkT7u7uiIqK4tTz8fGBh4cHhEIhZs+ejcLCQowbNw4ODg4wNjZGcHAwuwgGAP7+/ti1axcqKysBAJcuXcK1a9fg4+MDAFi3bh3MzMwQGRkJIyMjmJmZYdu2bUhPT8fNmzdbPPfe3t7w9PSEvr4+IiMjIRKJcO7cuSbr37t3D506deKUrVmzBo6OjggNDYVQKMS0adPg4ODQ4hgac+7cOeTm5nJ+og7U/ZS9W7dure7vwIEDcHBw4CyCNefx48cQiURYvnw5HB0dcezYMbi5ucHd3R0nT55k62lqakJbW5u9fvjwIdTV1Tl91V8/fPiwRWPfvHkTycnJ2Lx5M/r37w8LCwts3boV5eXlLWpfj8fj4fjx47h8+TIUFBQgKyuL6OhopKSkcHZ2duvWDR06dGhV3wB3N2tLLVq0CHv27EFqaiq+/PJLBAYGctKPSElJwdDQEHJycgD+b84am9OWzifw4T6jf/75J/bt24fXr1/jyJEjmD9/PlauXMlZXFZSUoKhoWGr+z5y5Ah69uwp9u+rpfbv34/S0lKxRdp3/YzWx3Hv3j0AwK+//goPDw84OTnByckJHh4e+PXXX5uMp7KyEs+fP+e8CCGEEEIIIYSQTw0tCLcRU1NT2NrawsTEBKNHj8bmzZvFdlOampqyi0QAYGlpCZFIhPv377NlPXv25LTR1NR8667Khm00NTUBgG1TUFCAvn37cuq/eZ2fnw9ra2tOmbW1NfLz85scp37xpeHPx9XV1VFRUcEumri6ukJSUhKJiYkA6nYdDhkyhN0de+XKFaSnp0MgELAvIyMjAGBTT7REw7jk5eWhqKjY7JyVl5eL/cQ/Pz8f/fr145RZWlq2OIbGbN26FSYmJmLzHRQU9NZF/sa0dvGy/osGFxcXzJgxA7169cKcOXMwcuRIbNy4ka23bNky7Nixo9XxNCc/Px/t2rXj7OI1MjJ6a57aNzEMgylTpkBNTQ2nTp3CuXPn4OrqCmdnZxQXF7P10tLS2N3prYnx77//hq2tbavazZ8/H9bW1jAzM8Ps2bMRGhrK5qgFgM6dO+PGjRti7/v7+lCf0draWqipqWHTpk2wsLDA119/jblz53I+E25ubrhx40ar+36XBfaGtm7diuHDh4stKL/rZ5TP5wOoyykN1P13MTU1FQMHDsTAgQORmpra7H8rli1bBiUlJfZVf6AjIYQQQgghhBDyKaEF4TYiKSmJ1NRUJCcno3v37oiJiYGhoSHu3r3bqn6kpKQ41zwej7OD+G1t6n9m/bY276KxcZobW1paGhMmTEBsbCyqqqoQHx8PX19ftr5IJIKzszNycnI4r1u3bmHQoEHvFFd9HM09f4cOHVqV+uBdvHz5Ert374afn98H6a+4uBiXL1+Gk1PLDzbp0KED2rVrh+7du3PKjY2NUVRU1GQ7DQ0NPHr0iFNWf/1vH2p44sQJHDp0CLt374a1tTXMzc2xfv168Pl8bN++/b36TkpKgr29/Xsf6tavXz/89ddf7E74N9XPWWNz2haHRGpqakIoFEJSUpItMzY2xsOHD8VymrdGVVUVUlJS3nlB+N69ezh+/LjYjvrGtPQzWp86pv4wypkzZ0JBQYG9r6CggJkzZzY5TlhYGMrKythXwy/vCCGEEEIIIYSQTwUtCLchHo8Ha2trRERE4PLly5CWlmZ3xwJ1O2Ib/mT+7NmzEAgEH3XXmaGhIc6fP88pe/Pa2NgYmZmZnLLMzEyxhcR34e/vj+PHj2P9+vVsSo165ubmuH79OnR1daGvr895Ncy5+6GZmZkhLy+PU2ZsbIzs7GxO2dmzZ995jL1796KyshLffPPNO/fR0MGDB2FlZQUVFZUWt5GWlkafPn1QUFDAKb958yZ0dHSabGdpaYk//vgD1dXVbFlqaioMDQ1bfACXkZERampqcPHiRbasoKAApaWlLY4f+L+dnRIS3P+0SUhIvPeXHgcOHICLi8t79QEAOTk5aN++fZOHpunp6UFDQ4OzK/z58+fIzs5u1Q7fD/UZtba2xu3btznzd/PmTWhqarY4HUljMjIy0L59+7ceTteU2NhYqKmptehLj5Z+RnNzcyElJYUePXpw2nt7e7cod7CMjAwUFRU5L0IIIYQQQggh5FPTrq0D+F+VnZ2NtLQ0DBs2DGpqasjOzsaTJ09gbGzM1qmqqoKfnx/mzZuHwsJChIeHIygoSGyx60OaOnUqBg0ahOjoaDg7O+PEiRNITk7mHNg0a9YseHh4wMzMDHZ2djh48CASEhJw/Pjx9x7f2NgY/fv3x+zZs+Hr68v+hBuoO5hr8+bN8PT0RGhoKFRUVHD79m3s3r0bW7Zs4exg/JAcHBzg7++P169fs2NMmzYN1tbWiIqKgouLC44ePYqUlBSxtjk5OQDqdjc/efIEOTk5kJaWFls837p1K1xdXaGqqirWx7p165CYmMhZILx9+zZEIhEePnyI8vJydpzu3btDWloaSUlJYjsvRSIRmysaqDu8LCcnByoqKmy+1VmzZuHrr7/GoEGDMGTIEKSkpODgwYOcXM9hYWF48OAB+5P8sWPHIiIiAn5+fpg9ezZyc3OxZs0arFq1qoUzXPdFhKOjIyZNmoQNGzagXbt2mD59Ouf9B+ryvT58+JB9jmvXrkFBQQHa2tpQUVGBpaUl2rdvDy8vLyxYsAB8Ph+bN2/G3bt3OQuHtra2cHNzY9NGVFVVsYv+VVVVePDgAXJyciAQCKCvr4/Hjx/jwoULSEpK4sRTVFSEkpISFBUV4fXr1+z7oK+vD4FAgIMHD+LRo0fo378/ZGVlkZqaisjISISEhLB9PHjwALa2ttixYwf69u0LHo+H6dOnY8mSJTAwMICenh7mz5+PTp06wdXVtcVz+qE+o99++y3WrVuH4OBgTJ06Fbdu3UJkZCSmTZvG9pGYmIiwsDBO2oi3zU1jn9G3vQ/1amtrERsbCy8vL7RrJ/5/Y+/6GT116hQGDhwo9rkjhJDPSeHylv96iBBCCCGEfKYY0iby8vIYBwcHpmPHjoyMjAwjFAqZmJgY9r6Xlxfj4uLCLFiwgFFVVWUEAgETEBDAVFRUsHUGDx7MBAcHc/p1cXFhvLy82GsATGJiIsMwDHP37l0GAHP58mX2/rNnzxgATHp6Olu2adMmpnPnzgyfz2dcXV2ZJUuWMBoaGpxx1q9fz3Tt2pWRkpJihEIhs2PHDs79huM2NXZ6ejoDgHn27Bmn7datWxkAzLlz58Tm7ebNm4ybmxujrKzM8Pl8xsjIiJk+fTpTW1vb6Jzo6Ogwq1atajIuhmEYJSUlJjY2VmysetXV1UynTp2YlJQUsTi7dOnC8Pl8xtnZmYmKimKUlJTE5uHNl46ODqfOjRs3GADMsWPHGh0/PDxcrM3gwYMb7fvu3buMSCRiZGVlmVu3bnHa1M/3m6+Gn5f659LX12dkZWUZU1NTZv/+/Zz7Xl5ezODBgzllV65cYQYMGMDIyMgwnTt3ZpYvX97o2Hfv3m30GRmGYYqLixknJydGRkaG0dbWZnbs2CH2/oWHhzf6DA3fv/PnzzPDhg1jVFRUGAUFBaZ///7MkSNHOGPp6Ogw4eHh7HX95/PNV/1zbtmyhbG2thaL2cvLq9F29f+ekpOTmV69ejECgYCRl5dnTE1NmY0bNzKvX78WG7vhv8Ha2lpm/vz5jLq6OiMjI8PY2toyBQUFnLEHDx4s9t696UN9Rs+cOcP069ePkZGRYbp27cosXbqUqampYe/HxsYyb/7fydvmRktLi0lNTeW0edv7UO/o0aMMALE5aTh2az+jDMMwhoaGzK5duxrt812UlZUxAJiysrIP1ichhBBCCCGEENKUlv4dymMYhvkwS8vkQ/L29kZpaSn279/f1qEgICAAN27cwKlTp/6V8RYvXoy9e/fi6tWr/8p4LfHTTz8hKSkJR48ebetQ3iohIQHz5s0TS3PRlmJjYxEZGYm8vDyxHM7/BaNGjcKAAQMQGhra1qGwdHR0EBER0aJUBp+aS5cuYejQoXjy5Mkn83lITk7Gd999h6tXrza66/hdPH/+HEpKSigrK6P0EYQQQgghhBBCPrqW/h1KKSOImKioKNjb20NeXh7JycnYvn071q9f/9HHFYlEKCwsxLp167BkyZKPPl5rTJo0CaWlpXjx4gXnkKlPkUAgwA8//NDWYXAcOXIEkZGRn8ziX2sNGDAAnp6ebR0G6/r161BSUsKECRPaOpR3UlNTg5iYmE/q8/Dy5UvExsZ+sMVgQgghhBBCCCHkU0U7hD9RbblD2MPDAxkZGXjx4gW6du2KqVOnYvLkyR99XG9vb+zatQuurq6Ij4//aDmBCSHk30A7hAkhhBBCCCGE/Jta+nfoxzudjLyXuLi4NksXsWfPHjx+/Bjl5eW4fv36v7IYDNQ9c2VlJX777TdaDP4E2NjYYPr06R+t/4ULF6JXr15tGsOn5s058fb2btVBck2pqqqCvr4+zpw502SdwsJC8Hg89vA38n/y8vLQpUsXvHz5sq1DIYQQQgghhBBC3hstCBPyL/hQC3v/axISErB48eK2DqPNrFmzBnFxce/dz8aNG6GnpwcrK6tWtZs2bRosLCwgIyPT5OL90aNH0b9/fygoKKBjx4748ssvUVhY2Gy/CQkJGDZsGFRVVd+6CK2np4fjx4+joqIC3t7eMDExQbt27Zr897Rz506YmppCTk4Ompqa8PX1xdOnT5uNp6KiAlOmTIGqqioEAgG+/PJLPHr0iL3fvXt39O/fH9HR0c32QwghhBBCCCGE/BdQskRCPjPV1dWfVG7W96GiotLWIbQpJSWl9+6DYRisW7cOixYteqf2vr6+yM7ObvSQx7t378LFxQUzZ87Ezp07UVZWhhkzZsDd3R2XLl1qss+XL19iwIAB8PDwQEBAQJP1rl69imfPnmHw4MGoqqoCn8/HtGnT8PvvvzdaPzMzExMmTMCqVavg7OyMBw8eYPLkyQgICEBCQkKT48yYMQOHDx/G3r17oaSkhKCgILi7uyMzM5Ot4+Pjg4CAAISFhVGeYULIf5runMNtHcInoXC5U1uHQAghhBDSZmiHMCEfyL59+2BiYgI+nw9VVVXY2dnh5cuXWLhwIbZv344DBw6Ax+OBx+MhIyMDAHD//n14eHhAWVkZKioqcHFx4eyuPH/+POzt7dGhQwcoKSlh8ODBYgttPB4PGzZswKhRoyAvL4+lS5cCADZs2IBu3bpBWloahoaG+OWXX9g2vr6+GDlyJKef6upqqKmpYevWrS163itXrmDIkCFQUFCAoqIiLCwscOHCBQB16T+UlZWxf/9+GBgYQFZWFg4ODrh//75YP7/88gt0dXWhpKSEMWPG4MWLF+y9N1NG6OrqIjIyEr6+vlBQUIC2tjY2bdrE6e/MmTPo1asXZGVl0bt3b+zfv19sF+rJkyfRt29fyMjIQFNTE3PmzEFNTQ1n3KlTp2L69Olo37491NXVsXnzZrx8+RI+Pj5QUFCAvr4+kpOTAdQtuurr6yMqKooTS05ODng8Hm7fvg0AKC0thb+/Pzp27AhFRUUMHToUV65caXKO39xZbmNjg2nTpiE0NBQqKirQ0NDAwoULm2wPABcvXsSdO3fg5MT9w/fcuXMwMzNj5+ny5ctibdeuXYspU6aga9euTfb9+vVrLFmyBN26dYO5uTlCQkKQk5OD6urqJmMaP348FixYADs7u2ZjP3DgABwdHSElJQV5eXls2LABAQEB0NDQaLR+VlYWdHV1MW3aNOjp6WHAgAGYNGkSzp071+QYZWVl2Lp1K6KjozF06FBYWFggNjYWZ86cwdmzZ9l69vb2KCkpwcmTJ5uNmRBCCCGEEEII+dTRgjAhH0BxcTE8PT3h6+uL/Px8ZGRkwN3dHQzDICQkBB4eHnB0dERxcTGKi4thZWWF6upqODg4QEFBAadOnUJmZiYEAgEcHR1RVVUFAHjx4gW8vLxw+vRpnD17FgYGBhgxYgRn0RSoyz3r5uaGa9euwdfXF4mJiQgODsZ3332H3NxcTJo0CT4+PkhPTwcA+Pv7IyUlBcXFxWwfhw4dwqtXr/D111+36JnHjRuHLl264Pz587h48SLmzJnD2Zn86tUrLF26FDt27EBmZiZKS0sxZswYTh937tzB/v37cejQIRw6dAgnT57E8uXLmx135cqV7AJmYGAgvv32WxQUFACoS57u7OwMExMTXLp0CYsXL8bs2bM57R88eIARI0agT58+uHLlCjZs2ICtW7diyZIlnHrbt29Hhw4dcO7cOUydOhXffvstRo8eDSsrK1y6dAnDhg3D+PHj8erVK/B4PPj6+iI2NpbTR2xsLAYNGgR9fX0AwOjRo/H48WMkJyfj4sWLMDc3h62tLUpKSlo05/VxycvLIzs7GytWrMCiRYuQmpraZP1Tp05BKBRCQUGBLROJRBg5ciS6d++OixcvYuHChQgJCWlxDPUsLCwgISGB2NhYvH79GmVlZfjll19gZ2fHfhbqcxPXfwnSGklJSXBxcWlxfUtLS9y/fx9HjhwBwzB49OgR9u3bhxEjRrB1MjIywOPx2C9eLl68iOrqas7itJGREbS1tZGVlcWWSUtLo1evXjh16lSrn4MQQgghhBBCCPmU0IIwIR9AcXExampq4O7uDl1dXZiYmCAwMBACgQACgQB8Ph8yMjLQ0NCAhoYGpKWl8dtvv6G2thZbtmyBiYkJjI2NERsbi6KiInbxbOjQofjmm29gZGQEY2NjbNq0Ca9evRLbpTh27Fj4+Piga9eu0NbWRlRUFLy9vREYGAihUIiZM2fC3d2d3cFqZWUltms4NjYWo0ePhkAgaNEzFxUVwc7ODkZGRjAwMMDo0aNhamrK3q+ursa6detgaWkJCwsLbN++HWfOnOHs1qytrUVcXBy++OILDBw4EOPHj0daWlqz444YMQKBgYHQ19fH7Nmz0aFDB3ahOz4+HjweD5s3b0b37t0xfPhwzJo1i9N+/fr10NLSwrp162BkZARXV1dERERg5cqVqK2tZeuZmppi3rx5MDAwQFhYGGRlZdGhQwcEBATAwMAACxYswNOnT9lUCt7e3igoKGCfr7q6GvHx8fD19QUAnD59GufOncPevXvRu3dvGBgYICoqCsrKyti3b1+L5hwAevbsifDwcBgYGGDChAno3bt3s3N27949dOrUiVMWHx+P2tpabN26FT169MDIkSPF5qkl9PT0cOzYMXz//feQkZGBsrIy/vrrL+zZs4etIyUlBUNDQ8jJybWq7wcPHuDq1asYPnx4i9tYW1tj586d+PrrryEtLQ0NDQ0oKSnhp59+YuvIycnB0NCQXbB++PAhpKWloayszOlLXV0dDx8+5JR16tQJ9+7da3L8yspKPH/+nPMihBBCCCGEEEI+NbQgTMgHYGpqCltbW5iYmGD06NHYvHkznj171mybK1eu4Pbt21BQUGAXjlVUVFBRUYE7d+4AAB49esQuQCopKUFRUREikQhFRUWcvnr37s25zs/Ph7W1NafM2toa+fn57LW/vz+7o/XRo0dITk5mFy9bYubMmfD394ednR2WL1/OxlyvXbt26NOnD3ttZGQEZWVlTgy6urqcnauampp4/Phxs+P27NmT/d88Hg8aGhpsm4KCAvTs2ROysrJsnb59+3La5+fnw9LSEjwejy2ztraGSCTCX3/91eg4kpKSUFVVhYmJCVumrq4OAOzYnTp1gpOTE7Zt2wYAOHjwICorKzF69GgAde+3SCRiDy6rf929e1ds7lr6/MDb56y8vJwzH/Vz8OY8WVpatjiGeg8fPkRAQAC8vLxw/vx5nDx5EtLS0vjqq6/AMAwAoHPnzrhx44bY+/A2SUlJGDBggNhCbXPy8vIQHByMBQsW4OLFi0hJSUFhYSEmT57M1unbty9u3LiBzp07tyoeAODz+Xj16lWT95ctWwYlJSX2paWl1eoxCCGEEEIIIYSQj41OxiHkA5CUlERqairOnDmDY8eOISYmBnPnzkV2djb09PQabSMSiWBhYYGdO3eK3evYsSMAwMvLC0+fPsWaNWugo6MDGRkZWFpasikl6snLy7c65gkTJmDOnDnIysrCmTNnoKenh4EDB7a4/cKFCzF27FgcPnwYycnJCA8Px+7du+Hm5tbiPt48/I7H43F26X6oNu+isXEaltUvKDcc29/fH+PHj8eqVasQGxuLr7/+mt0ZKxKJoKmp2WjqhNYserb2+Tt06IBr1661uP/W+Omnn6CkpIQVK1awZb/++iu0tLSQnZ2N/v37v3PfSUlJGDVqVKvaLFu2DNbW1uxu5549e0JeXh4DBw7EkiVLoKmpKdZGQ0MDVVVVKC0t5bwPjx49EstVXFJSgm7dujU5flhYGGbOnMleP3/+nBaFCSGEEEIIIYR8cmiHMCEfCI/Hg7W1NSIiInD58mVIS0sjMTERQF3+0devX3Pqm5ub49atW1BTU4O+vj7npaSkBADIzMzEtGnTMGLECPTo0QMyMjL4559/3hqLsbExMjMzOWWZmZno3r07e62qqgpXV1fExsYiLi4OPj4+rX5moVCIGTNm4NixY3B3d+fk0K2pqWEPmQPqdu+WlpbC2Ni41eO0lKGhIa5du4bKykq27Pz585w6xsbGyMrKYnewAnVzo6CggC5durzX+CNGjGAPP0tJSeHsuDY3N8fDhw/Rrl07sfe7Q4cO7zVuc8zMzHDjxg3O8xobG+Pq1auoqKhgyxoeoNZSr169goQE9/9GJCUlAeC9FulFIhHS09NblT/4bfE0fP6GLCwsICUlxUm7UVBQgKKiIrFd07m5uTAzM2tyfBkZGSgqKnJehBBCCCGEEELIp4Z2CBPyAWRnZyMtLQ3Dhg2DmpoasrOz8eTJE3bxU1dXF0ePHkVBQQFUVVWhpKSEcePG4ccff4SLiwsWLVqELl264N69e0hISEBoaCi6dOkCAwMD/PLLL+jduzeeP3+OWbNmgc/nvzWeWbNmwcPDA2ZmZrCzs8PBgweRkJCA48ePc+r5+/tj5MiReP36Nby8vFr8vOXl5Zg1axa++uor6Onp4a+//sL58+fx5ZdfsnWkpKQwdepUrF27Fu3atUNQUBD69+/f6tQBrTF27FjMnTsXEydOxJw5c1BUVMTmTa7f0RsYGIjVq1dj6tSpCAoKQkFBAcLDwzFz5kyxxcTWkpSUhLe3N8LCwmBgYMBZULSzs4OlpSVcXV2xYsUKCIVC/P333zh8+DDc3NzE0n58KEOGDIFIJML169fxxRdfAPi/eQoICEBYWBgKCwvZeWro9u3bEIlEePjwIcrLy5GTkwMA6N69O6SlpeHk5IRVq1Zh0aJF8PT0xIsXL/D9999DR0eHXTh98OABbG1tsWPHDva9LykpQVFREf7++28AYA8FrM+xnZKSAqFQCF1dXU48eXl5qKqqQklJCV68eMHG06tXLwCAs7MzAgICsGHDBjg4OKC4uBjTp09H37592TzK586dw4QJE5CWlobOnTtDSUkJfn5+mDlzJlRUVKCoqIipU6fC0tKSs8O5sLAQDx484Bw+Rwgh/0WFy53aOgRCCCGEENLGaIcwIR+AoqIi/vjjD4wYMQJCoRDz5s3DypUr2QOxAgICYGhoiN69e6Njx47IzMyEnJwc/vjjD2hra8Pd3R3Gxsbw8/NDRUUFu7Nw69atePbsGczNzTF+/HhMmzYNampqb43H1dUVa9asQVRUFHr06IGff/4ZsbGxsLGx4dSzs7ODpqYmHBwcxA4ea46kpCSePn2KCRMmQCgUwsPDA8OHD0dERARbR05ODrNnz8bYsWNhbW0NgUCA3377rcVjvAtFRUUcPHgQOTk56NWrF+bOnYsFCxYAAJsvt3Pnzjhy5AjOnTsHU1NTTJ48GX5+fpg3b94HicHPzw9VVVViO655PB6OHDmCQYMGwcfHB0KhEGPGjMG9e/fYfMQfg6qqKtzc3DipSQQCAQ4ePIhr167BzMwMc+fOxQ8//CDW1t/fH2ZmZvj5559x8+ZNmJmZwczMjF3IHTp0KOLj47F//36YmZnB0dERMjIySElJYb+4qK6uRkFBASf3blJSEszMzODkVLcoMWbMGJiZmWHjxo0AgAMHDjSaLmLEiBEwMzPDwYMHkZGRwcZTz9vbG9HR0Vi3bh2++OILjB49GoaGhkhISGDrvHr1CgUFBaiurmbLVq1ahZEjR+LLL7/EoEGDoKGhwWkDALt27cKwYcOgo6PT8sknhBBCCCGEEEI+QTymqd/REkI+eyKRCJ07d0ZsbCzc3d0/WL9xcXGYPn06SktLP1if72rnzp3w8fFBWVlZi3ZXv69Tp07B1tYW9+/f/6gLva1x9epV2Nvb486dOxAIBG0dTrNqamqgrq6O5OTkj7qbvDWqqqpgYGCA+Ph4scMam/P8+XMoKSmhrKyM0kcQQgghhBBCCPnoWvp3KKWMIOR/UG1tLf755x+sXLkSysrKrT6861O2Y8cOdO3aFZ07d8aVK1cwe/ZseHh4fPTF4MrKSjx58gQLFy7E6NGjP5nFYKDucLUffvgBd+/ehYmJSVuH06ySkhLMmDEDffr0aetQWEVFRfj+++9btRhMCCGEEEIIIYR8qmhBmJD/QUVFRdDT00OXLl0QFxeHdu0+n/8UPHz4EAsWLMDDhw+hqamJ0aNHY+nSpR993F27dsHPzw+9evXCjh07Pvp4reXt7d3WIbSImpraB0vf8aHUH/5HCCGEEEIIIYR8DihlBCHkP8nGxga9evXC6tWrm6zD4/GQmJgIV1fXfy2uligsLISenh4uX77MHoj2X7Nw4ULs37+fPditLWRkZGDIkCF49uwZlJWV2yyOplDKCEIIIYQQQggh/6aW/h1Kh8oRQj5bxcXF7MF+nxItLS0UFxfjiy+++OhjLV26FFZWVpCTk/skF00/Bbq6us1+sUAIIYQQQgghhHxOPp/fiRNCyBs0NDTaOoRGSUpK/muxVVVVYfTo0bC0tMTWrVv/lTEJIYR8unTnHG5V/cLlTh8pEkIIIYQQ0lZohzAhpM3s27cPJiYm4PP5UFVVhZ2dHV6+fAlvb2+4uroiIiICHTt2hKKiIiZPnoyqqipO+9raWoSGhkJFRQUaGhpYuHAh5z6Px8P+/fsB1KVp4PF4SEhIwJAhQyAnJwdTU1NkZWVx2mzevBlaWlqQk5ODm5sboqOjOTtr79y5AxcXF6irq0MgEKBPnz44fvw4pw9dXV1ERkbC19cXCgoK0NbWxqZNm9j79bHUp1vIyMgAj8dDWloaevfuDTk5OVhZWaGgoIDT74EDB2Bubg5ZWVl07doVERERqKmpaXaOIyIiMGPGjFYdJhcXFwdlZWXs378fBgYGkJWVhYODA+7fvy9W95dffoGuri6UlJQwZswYvHjxgr1XWVmJadOmQU1NDbKyshgwYADOnz/P3n/27BnGjRuHjh07gs/nw8DAALGxsZw52r17N6ysrCArK4svvvgCJ0+eFIvh4sWLTc7b294vGxsb3Lt3DzNmzACPxwOPx2PvnT59GgMHDgSfz4eWlhamTZuGly9ftngeCSGEEEIIIYSQTxEtCBNC2kRxcTE8PT3h6+uL/Px8ZGRkwN3dHfVpzdPS0tjyXbt2ISEhAREREZw+tm/fDnl5eWRnZ2PFihVYtGgRUlNTmx137ty5CAkJQU5ODoRCITw9PdlF1czMTEyePBnBwcHIycmBvb292IF0IpEII0aMQFpaGi5fvgxHR0c4OzujqKiIU2/lypXo3bs3Ll++jMDAQHz77bdiC7yNxbZy5UpcuHAB7dq1g6+vL3vv1KlTmDBhAoKDg5GXl4eff/4ZcXFxH+3AvFevXmHp0qXYsWMHMjMzUVpaijFjxnDq3LlzB/v378ehQ4dw6NAhnDx5EsuXL2fvh4aG4vfff8f27dtx6dIl6Ovrw8HBASUlJQCA+fPnIy8vD8nJycjPz8eGDRvQoUMHzhizZs3Cd999h8uXL8PS0hLOzs54+vQpp05z8/a29yshIQFdunTBokWLUFxcjOLiYvbZHB0d8eWXX+Lq1av47bffcPr0aQQFBX24SSaEEEIIIYQQQtoCQwghbeDixYsMAKawsFDsnpeXF6OiosK8fPmSLduwYQMjEAiY169fMwzDMIMHD2YGDBjAadenTx9m9uzZ7DUAJjExkWEYhrl79y4DgNmyZQt7//r16wwAJj8/n2EYhvn6668ZJycnTp/jxo1jlJSUmn2WHj16MDExMey1jo4O880337DXtbW1jJqaGrNhwwZOLJcvX2YYhmHS09MZAMzx48fZNocPH2YAMOXl5QzDMIytrS0TGRnJGfeXX35hNDU1m42tXmxs7Fufo2FdAMzZs2fZsvz8fAYAk52dzTAMw4SHhzNycnLM8+fP2TqzZs1i+vXrxzAMw4hEIkZKSorZuXMne7+qqorp1KkTs2LFCoZhGMbZ2Znx8fFpNIb6OVq+fDlbVl1dzXTp0oX54YcfGIZp2bw1prH3a9WqVZw6fn5+zMSJEzllp06dYiQkJJrsu6KigikrK2Nf9+/fZwAwZWVlTcZCCCH/Np3Zh1r1IoQQQggh/x1lZWUt+juUdggTQtqEqakpbG1tYWJigtGjR2Pz5s149uwZ576cnBx7bWlpCZFIxElb0LNnT06fmpqaePz4cbPjNmyjqakJAGybgoIC9O3bl1P/zWuRSISQkBAYGxtDWVkZAoEA+fn5YjuEG47D4/GgoaHxXrFduXIFixYtgkAgYF8BAQEoLi7Gq1evMHnyZM69lurRowfbpuEBfO3atUOfPn3YayMjIygrKyM/P58t09XVhYKCAifm+njv3LmD6upqWFtbs/elpKTQt29fto9vv/0Wu3fvRq9evRAaGoozZ86IxWdpacmJqXfv3pwY3jZvLX2/3nTlyhXExcVx5tTBwQG1tbW4e/duo22WLVsGJSUl9qWlpdXsGIQQQgghhBBCSFugQ+UIIW1CUlISqampOHPmDI4dO4aYmBjMnTsX2dnZLe5DSkqKc83j8VBbW9viNvX5Yt/WpqGQkBCkpqYiKioK+vr64PP5+Oqrr8TyG3/o2EQiESIiIuDu7i7WTlZWFosWLUJISEiLn6PekSNHUF1dDQDg8/mtavsuz9jQ8OHDce/ePRw5cgSpqamwtbXFlClTEBUV9c5xvDlvLX2/3iQSiTBp0iRMmzZN7J62tnajbcLCwjBz5kz2+vnz57QoTAghhBBCCCHkk0MLwoSQNsPj8WBtbQ1ra2ssWLAAOjo6SExMBFC3Q7O8vJxdpDx79iwEAsFHXWAzNDTkHHoGQOw6MzMT3t7ecHNzA1C3cFhYWPjRYqpnbm6OgoIC6OvrN3pfTU0Nampqre5XR0en0fKamhpcuHCB3SFdUFCA0tJSGBsbt6jfbt26QVpaGpmZmewY1dXVOH/+PKZPn87W69ixI7y8vODl5YWBAwdi1qxZnAXhs2fPYtCgQWxMFy9ebFUe35a8X9LS0nj9+jWnzNzcHHl5eU3Od2NkZGQgIyPT4vqEEEIIIYQQQkhboAVhQkibyM7ORlpaGoYNGwY1NTVkZ2fjyZMnMDY2xtWrV1FVVQU/Pz/MmzcPhYWFCA8PR1BQECQkPl6mm6lTp2LQoEGIjo6Gs7MzTpw4geTkZHbXKQAYGBggISEBzs7O4PF4mD9/fqt2xb6rBQsWYOTIkdDW1sZXX30FCQkJXLlyBbm5uViyZEmT7YqKilBSUoKioiK8fv0aOTk5AAB9ff1mU0tISUlh6tSpWLt2Ldq1a4egoCD0799fLIVGU+Tl5fHtt99i1qxZUFFRgba2NlasWIFXr17Bz8+PfSYLCwv06NEDlZWVOHTokNiC808//QQDAwMYGxtj1apVePbsGefQuLdpyfulq6uLP/74A2PGjIGMjAw6dOiA2bNno3///ggKCoK/vz/k5eWRl5eH1NRUrFu3rsXjE0LIp6ZwuVNbh0AIIYQQQtoY5RAmhLQJRUVF/PHHHxgxYgSEQiHmzZuHlStXsnlsbW1tYWBggEGDBuHrr7/GqFGjsHDhwo8ak7W1NTZu3Ijo6GiYmpoiJSUFM2bMgKysLFsnOjoa7du3h5WVFZydneHg4ABzc/OPGhcAODg44NChQzh27Bj69OmD/v37Y9WqVU3u8K23YMECmJmZITw8HCKRCGZmZjAzM8OFCxeabScnJ4fZs2dj7NixsLa2hkAgwG+//daqmJcvX44vv/wS48ePh7m5OW7fvo2jR4+iffv2AOp25oaFhaFnz54YNGgQJCUlsXv3brE+li9fDlNTU5w+fRpJSUno0KFDi2Noyfu1aNEiFBYWolu3bujYsSOAurzEJ0+exM2bNzFw4ECYmZlhwYIF6NSpU6vmgBBCCCGEEEII+dTwGIZh2joIQghpyNvbG6Wlpdi/f39bh4KAgADcuHEDp06dautQ/jVxcXGYPn06SktL2yyGwsJC6Onp4fLly+jVq1ebxfE+nj9/DiUlJZSVlUFRUbGtwyGEEEIIIYQQ8plr6d+hlDKCEEIaiIqKgr29PeTl5ZGcnIzt27dj/fr1bR0WIYQQQgghhBBCyAdBC8KEENLAuXPnsGLFCrx48QJdu3bF2rVr4e/v39ZhEUIIIYQQQgghhHwQlDKCEELIW9nY2KBXr15YvXp1k3V4PB4SExPh6ur6r8XVEm2VfoJSRhBCCCGEEEII+TdRyghCCCH/quLiYvbAuE+JlpYWiouLW3UYHSGEEEIIIYQQ8rmiBWFCCCEfhIaGRluH0ChJSclPNjZCWkJ3zuG2DoF8RgqXO7V1CIQQQgghpI1JtHUAhBBC/h379u2DiYkJ+Hw+VFVVYWdnh5cvX8Lb2xuurq6IiIhAx44doaioiMmTJ6OqqorTvra2FqGhoVBRUYGGhgYWLlzIuc/j8bB//34AdWkaeDweEhISMGTIEMjJycHU1BRZWVmcNps3b4aWlhbk5OTg5uaG6OhoKCsrs/fv3LkDFxcXqKurQyAQoE+fPjh+/DinD11dXURGRsLX1xcKCgrQ1tbGpk2b2Pv1seTk5AAAMjIywOPxkJaWht69e0NOTg5WVlYoKCjg9HvgwAGYm5tDVlYWXbt2RUREBGpqat5h5gkhhBBCCCGEkE8HLQgTQsj/gOLiYnh6esLX1xf5+fnIyMiAu7s76tPIp6WlseW7du1CQkICIiIiOH1s374d8vLyyM7OxooVK7Bo0SKkpqY2O+7cuXMREhKCnJwcCIVCeHp6souqmZmZmDx5MoKDg5GTkwN7e3ssXbqU014kEmHEiBFIS0vD5cuX4ejoCGdnZxQVFXHqrVy5Er1798bly5cRGBiIb7/9VmyBt7HYVq5ciQsXLqBdu3bw9fVl7506dQoTJkxAcHAw8vLy8PPPPyMuLk4svoYqKyvx/PlzzosQQgghhBBCCPnU0KFyhBDyP+DSpUuwsLBAYWEhdHR0OPe8vb1x8OBB3L9/H3JycgCAjRs3YtasWSgrK4OEhARsbGzw+vVrnDp1im3Xt29fDB06FMuXLwfAPVSu/iC3LVu2wM/PDwCQl5eHHj16ID8/H0ZGRhgzZgxEIhEOHTrE9vnNN9/g0KFDKC0tbfJZvvjiC0yePBlBQUEA6nYIDxw4EL/88gsAgGEYaGhoICIiApMnTxY7VC4jIwNDhgzB8ePHYWtrCwA4cuQInJycUF5eDllZWdjZ2cHW1hZhYWHsuL/++itCQ0Px999/NxrXwoULxRbRAdChcuS9UcoI8iFRyghCCCGEkM9XSw+Vox3ChBDyP8DU1BS2trYwMTHB6NGjsXnzZjx79oxzv34xGAAsLS0hEolw//59tqxnz56cPjU1NfH48eNmx23YRlNTEwDYNgUFBejbty+n/pvXIpEIISEhMDY2hrKyMgQCAfLz88V2CDcch8fjQUND471iu3LlChYtWgSBQMC+AgICUFxcjFevXjXaX1hYGMrKythXw7kjhBBCCCGEEEI+FXSoHCGE/A+QlJREamoqzpw5g2PHjiEmJgZz585FdnZ2i/uQkpLiXPN4PNTW1ra4DY/HA4C3tmkoJCQEqampiIqKgr6+Pvh8Pr766iux/MYfOjaRSISIiAi4u7uLtZOVlW20PxkZGcjIyLz9oQghhBBCCCGEkDZEC8KEEPI/gsfjwdraGtbW1liwYAF0dHSQmJgIoG5HbHl5Ofh8PgDg7NmzEAgE0NLS+mjxGBoa4vz585yyN68zMzPh7e0NNzc3AHULtYWFhR8tpnrm5uYoKCiAvr7+Rx+LEEIIIYQQQgj5N9GCMCGE/A/Izs5GWloahg0bBjU1NWRnZ+PJkycwNjbG1atXUVVVBT8/P8ybNw+FhYUIDw9HUFAQJCQ+XmahqVOnYtCgQYiOjoazszNOnDiB5ORkdrcuABgYGCAhIQHOzs7g8XiYP39+q3YYv6sFCxZg5MiR0NbWxldffQUJCQlcuXIFubm5WLJkyUcfn5CGKOcrIYQQQggh5EOiHMKEEPI/QFFREX/88QdGjBgBoVCIefPmYeXKlRg+fDgAwNbWFgYGBhg0aBC+/vprjBo1CgsXLvyoMVlbW2Pjxo2Ijo6GqakpUlJSMGPGDE5KhujoaLRv3x5WVlZwdnaGg4MDzM3NP2pcAODg4IBDhw7h2LFj6NOnD/r3749Vq1aJHchHCCGEEEIIIYT81/AYhmHaOghCCCFtx9vbG6Wlpdi/f39bh4KAgADcuHEDp06dautQ3ltLT3clhBBCCCGEEEI+hJb+HUopIwghhLSZqKgo2NvbQ15eHsnJydi+fTvWr1/f1mERQgghhBBCCCGfLVoQJoQQ0mbOnTuHFStW4MWLF+jatSvWrl0Lf3//tg6LEEIIIYQQQgj5bFEOYULIf15hYSF4PB5ycnLaOpQPKi0tDcbGxnj9+nWTdRYuXIhevXq91zhxcXFtli5iz549ePz4McrLy9GnTx+kpKSw92xsbDB9+vQ2ietNY8aMwcqVK9s6DEIIIYQQQggh5L3RgjAhhHwgcXFxUFZW/mD9hYaGYt68eZCUlPxgff6XJCQkYPHixR+0z3ddZJ43bx6WLl2KsrKyDxoPIYQQQgghhBDyb6OUEYQQ8gk6ffo07ty5gy+//LKtQ2kzKioqbR0C64svvkC3bt3w66+/YsqUKW0dDiGklXTnHG7rED4Zhcud2joEQgghhBDSxmiHMCHkk7Bv3z6YmJiAz+dDVVUVdnZ2ePnyJXt/y5YtMDY2hqysLIyMjBo9eOzGjRuwsrKCrKwsvvjiC5w8eZK99/r1a/j5+UFPTw98Ph+GhoZYs2aNWB/btm1Djx49ICMjA01NTQQFBbH3oqOjYWJiAnl5eWhpaSEwMBAikQgAkJGRAR8fH5SVlYHH44HH42HhwoUAgMrKSoSEhKBz586Ql5dHv379kJGR0ex87N69G/b29pCVleWUL1++HOrq6lBQUICfnx8qKirE2r5trv766y94enpCRUUF8vLy6N27N7KzswEAd+7cgYuLC9TV1SEQCNCnTx8cP36c015XVxeRkZHw9fWFgoICtLW1sWnTJk6d+/fvw8PDA8rKylBRUYGLiwsKCws578fMmTOhrKwMVVVVhIaGgmEYTh9v7uZ99uwZJkyYgPbt20NOTg7Dhw/HrVu32PtPnz6Fp6cnOnfuDDk5OZiYmGDXrl3sfW9vb5w8eRJr1qxh36P6mHJzczF8+HAIBAKoq6tj/Pjx+OeffzjxODs7Y/fu3WLzTQghhBBCCCGE/JfQgjAhpM0VFxfD09MTvr6+yM/PR0ZGBtzd3dkFwp07d2LBggVYunQp8vPzERkZifnz52P79u2cfmbNmoXvvvsOly9fhqWlJZydnfH06VMAQG1tLbp06YK9e/ciLy8PCxYswPfff489e/aw7Tds2IApU6Zg4sSJuHbtGpKSkqCvr8/el5CQwNq1a3H9+nVs374dJ06cQGhoKADAysoKq1evhqKiIoqLi1FcXIyQkBAAQFBQELKysrB7925cvXoVo0ePhqOjI2cx802nTp1C7969OWV79uzBwoULERkZiQsXLkBTU1NssfdtcyUSiTB48GA8ePAASUlJuHLlCkJDQ1FbW8veHzFiBNLS0nD58mU4OjrC2dkZRUVFnHFWrlyJ3r174/LlywgMDMS3336LgoICAEB1dTUcHBygoKCAU6dOITMzEwKBAI6OjqiqqmLbx8XFYdu2bTh9+jRKSkqQmJjY5HwAdQu6Fy5cQFJSErKyssAwDEaMGIHq6moAQEVFBSwsLHD48GHk5uZi4sSJGD9+PM6dOwcAWLNmDSwtLREQEMC+R1paWigtLcXQoUNhZmaGCxcuICUlBY8ePYKHhwdn/L59++LcuXOorKxsNL7Kyko8f/6c8yKEEEIIIYQQQj41PObNLVmEEPIvu3TpEiwsLFBYWAgdHR2x+/r6+li8eDE8PT3ZsiVLluDIkSM4c+YMCgsLoaenh+XLl2P27NkAgJqaGujp6WHq1Knsou2bgv4fe/ce1/P9P/7/9lI66ahSobxCJSaVWOltcpgcas7MfFUojBZzCCMKw7ZyfjMbK7ydZsPMzHEyQnIohxLakm1hc2qJpPr94dfz47UOMofY7tfL5XW59Hw+H4f74/lsc+neo/szNJQrV67w1VdfAVCnTh0GDRrEzJkzKxX3V199xfDhw5WdpHFxcYwePZpbt24pbbKysqhfvz5ZWVnUrl1bOd+hQwdatmzJrFmzyhzb1NSURYsWMXDgQOVcq1atcHNz47///a9yztPTk3v37ikv1Hvcvfrss88YN24cmZmZlS7J8NprrzF8+HBlt7RaraZ169asXr0agOLiYqytrYmKimL48OH873//Y+bMmaSlpaFSqQC4f/8+pqambNmyhY4dO1K7dm3ef/99xo8fD/zf82revLnygjsfHx9cXV2ZP38+Fy5cwNHRkYSEBFq1agU83BFsa2vLypUr6dOnT5mx+/n50ahRI6Kjo0uN+ej9OXDgADt37lTO/fLLL9ja2pKeno6joyMAp06dolmzZuV+n0ZGRhIVFVXq/O3btzE2Nq7UvRZCPB9SMuL/SMkIIYQQQoh/rpycHExMTB77c6jUEBZCVLlmzZrRvn17mjZtiq+vLx07dqR3796YmZlx584dMjIyGDJkCCEhIUqfBw8eYGJiojGOl5eX8rW2tjYeHh6kpaUp5/773//yxRdfkJWVxd27d7l//z6urq4AXLt2jd9++4327duXG+eePXuYPXs2586dIycnhwcPHnDv3j3y8vIwMDAos8/p06cpLCxUkool8vPzMTc3L3euu3fvlioXkZaWxvDhw0uted++fQCVulfJycm4ubmVmwzOzc0lMjKS7777juzsbB48eMDdu3dL7RB2cXFRvlapVFhbW3Pt2jUAUlJSuHjxIkZGRhp97t27R0ZGBrdv3yY7O5vXX39duVbyvMr7HWVaWhra2toafczNzXFyclKecWFhIbNmzeLLL7/k119/5f79++Tn55f7bEqkpKSwb98+DA0NS13LyMhQnp2+vj4AeXl5ZY4zadIkxowZoxzn5ORga2tb4dxCCCGEEEIIIcSLJglhIUSV09LSYvfu3Rw6dIhdu3axaNEiJk+eTGJiopLM+/zzzzWSgSX9Kmv9+vWMGzeOmJgYvLy8MDIy4pNPPlFq55Yk+8qTmZmJn58f7777Lh9++CE1a9bk4MGDDBkyhPv375ebdMzNzUVLS4vjx4+XiresBGQJCwsLbt68Wen1lcwFFd+rx61z3Lhx7N69m+joaBo2bIi+vj69e/dWSj2UqF69usaxSqXSKDvRvHlz1qxZU2p8S0vLJ1rTk/jkk09YsGAB8+fPV2o9jx49ulTsf5Wbm4u/vz8fffRRqWs2NjbK1zdu3ADKX4Ouri66urpPsQIhhBBCCCGEEOL5k4SwEOKloFKp8Pb2xtvbm6lTp1KvXj02b97MmDFjqF27Nj/99BMDBgyocIwjR47wxhtvAA93xR4/flwpc1BSamDEiBFK+4yMDOVrIyMj1Go1e/fupW3btqXGPn78OEVFRcTExFCt2sPy64/WHwbQ0dGhsLBQ45ybmxuFhYVcu3aN1q1bV/p+uLm5kZqaqnHO2dmZxMREAgICNNZcwsrK6rH3ysXFheXLl3Pjxo0ydwknJCQQFBREjx49gIfJ0kdfBlcZ7u7ubNiwgVq1apX7Jyo2NjYkJiaWel7u7u5ltnd2dubBgwckJiZqlIxIT0+ncePGSuzdunXj//2//wc8rBt9/vx55TqU/Yzc3d35+uuvUavVaGuX/8/imTNnqFu3LhYWFpW8E0IIIYQQQgghxMtHEsJCiCqXmJjI3r176dixI7Vq1SIxMZHff/8dZ2dnAKKioggLC8PExIROnTqRn5/PsWPHuHnzpsaf6P/3v//FwcEBZ2dn5s2bx82bNxk8eDAADg4OrFq1ip07d2Jvb8/q1atJSkrC3t5e6R8ZGcnw4cOpVasWnTt35s8//yQhIYH33nuPhg0bUlBQwKJFi/D39ychIYFPP/1UYx1qtZrc3Fz27t1Ls2bNMDAwwNHRkQEDBhAQEEBMTAxubm78/vvv7N27FxcXF7p2LbuWo6+vb6mX5o0aNYqgoCA8PDzw9vZmzZo1nD17lvr16yttHnev+vfvz6xZs+jevTuzZ8/GxsaGkydPUrt2bby8vHBwcGDTpk34+/ujUqmIiIhQdv5W1oABA/jkk0/o1q0b06dPp27duly6dIlNmzYRHh5O3bp1GTVqFHPmzMHBwYFGjRoxd+5cjdrLf+Xg4EC3bt0ICQlh2bJlGBkZMXHiROrUqUO3bt2UNl999RWHDh3CzMyMuXPncvXqVY2EsFqtJjExkczMTAwNDalZsyYjR47k888/p3///oSHh1OzZk0uXrzI+vXrWb58ubK7+sCBA3Ts2PGJ7oUQ4uUgdXOFEEIIIYT4P9WqOgAhhDA2NubHH3+kS5cuODo6MmXKFGJiYujcuTMAwcHBLF++nNjYWJo2bUqbNm2Ii4vTSOYCzJkzhzlz5tCsWTMOHjzI1q1bld2cw4YNo2fPnvTr14/XX3+d69eva+wWBggMDGT+/PksWbKEJk2a4Ofnx4ULF4CHdY7nzp3LRx99xGuvvcaaNWuYPXu2Rv9WrVoxfPhw+vXrh6WlJR9//DEAsbGxBAQEMHbsWJycnOjevTtJSUnY2dmVe08GDBjA2bNnSU9PV87169ePiIgIwsPDad68OZcuXeLdd9/V6Pe4e6Wjo8OuXbuoVasWXbp0oWnTpsyZM0dJes6dOxczMzNatWqFv78/vr6+5e7aLY+BgQE//vgjdnZ29OzZE2dnZ4YMGcK9e/eUHcNjx45l4MCBBAYGKiU8SnYllyc2NpbmzZvj5+eHl5cXxcXFbN++XSlfMWXKFNzd3fH19cXHxwdra2u6d++uMca4cePQ0tKicePGWFpaKi/7S0hIoLCwkI4dO9K0aVNGjx6Nqampshv83r17bNmyRaM2sxBCCCGEEEII8SpSFZf3Bh8hhBBVavz48eTk5LBs2bKqDuVfb+nSpWzevJldu3ZVuk9l3+4qhBBCCCGEEEI8C5X9OVR2CAshxEtq8uTJ1KtX74lLNohnr3r16ixatKiqwxBCCCGEEEIIIZ6a7BAWQgghngPZISyEEEIIIYQQ4kWSHcJCCPGcqVQqtmzZ8kLnDAoKKlUXtyrEx8ejUqkqfBEcPHyJ2/z5819ITAMHDmTWrFnPfNwdO3bg6uoqO7WFEEIIIYQQQvwjSEJYCCH+puzsbOXFd/82rVq1Ijs7GxMTEwDi4uIwNTUt1S4pKYmhQ4c+93hSUlLYvn07YWFhGucvXrzIoEGDqFu3Lrq6utjb29O/f3+OHTumtHnrrbews7NDT08PGxsbBg4cyG+//aZc79SpE9WrV2fNmjXPfR1CCCGEEEIIIcTzpl3VAQghxIt0//59dHR0nslY1tbWz2Scl0ll74+Ojk6l1m9pafkswnqsRYsW0adPHwwNDZVzx44do3379rz22mssW7aMRo0a8eeff/LNN98wduxY9u/fD0Dbtm354IMPsLGx4ddff2XcuHH07t2bQ4cOKWMFBQWxcOFCBg4c+ELWI4R49agnflfVIVRK5pyuVR2CEEIIIYSoYrJDWAjxyvLx8SE0NJTQ0FBMTEywsLAgIiKCR0ujq9VqZsyYQUBAAMbGxspu1a+//pomTZqgq6uLWq0mJiZGY+ySfv3796dGjRrUqVOH//73vxpt/loy4vTp07Rr1w59fX3Mzc0ZOnQoubm5yvWScg/R0dHY2Nhgbm7OyJEjKSgoAGD69Om89tprpdbp6upKREREmfegqKiIjz/+mIYNG6Krq4udnR0ffvihcn3ChAk4OjpiYGBA/fr1iYiIUOYDiIyMxNXVleXLl2Nvb4+enp6ytuXLl9OjRw8MDAxwcHBg69atSr9HS0bEx8czaNAgbt++jUqlQqVSERkZqdzHR0tGPG5cgDNnztC5c2cMDQ2xsrJi4MCB/PHHH2WuH6CwsJCvvvoKf39/5VxxcTFBQUE4ODhw4MABunbtSoMGDXB1dWXatGl88803Stv3338fT09P6tWrR6tWrZg4cSJHjhzRuE/+/v4cO3aMjIyMcuMQQgghhBBCCCFeBZIQFkK80lauXIm2tjZHjx5lwYIFzJ07l+XLl2u0iY6OplmzZpw8eZKIiAiOHz9O3759efvttzl9+jSRkZFEREQQFxen0e+TTz5R+k2cOJFRo0axe/fuMuO4c+cOvr6+mJmZkZSUxMaNG9mzZw+hoaEa7fbt20dGRgb79u1j5cqVxMXFKfMOHjyYtLQ0kpKSlPYnT57k1KlTDBo0qMx5J02axJw5c4iIiCA1NZW1a9diZWWlXDcyMiIuLo7U1FQWLFjA559/zrx58zTGuHjxIl9//TWbNm0iOTlZOR8VFUXfvn05deoUXbp0YcCAAdy4caNUDK1atWL+/PkYGxuTnZ1NdnY248aNKzPex41769Yt2rVrh5ubG8eOHWPHjh1cvXqVvn37ljveqVOnuH37Nh4eHsq55ORkzp49y9ixY6lWrfQ/dWWVtwC4ceMGa9asoVWrVlSvXl05b2dnh5WVFQcOHCg3jvz8fHJycjQ+QgghhBBCCCHEy0ZKRgghXmm2trbMmzcPlUqFk5MTp0+fZt68eYSEhCht2rVrx9ixY5XjAQMG0L59e2XXraOjI6mpqXzyyScEBQUp7by9vZk4caLSJiEhgXnz5vHmm2+WimPt2rXcu3ePVatWUaNGDQAWL16Mv78/H330kZKkNTMzY/HixWhpadGoUSO6du3K3r17CQkJoW7duvj6+hIbG0uLFi0AiI2NpU2bNtSvX7/UnH/++ScLFixg8eLFBAYGAtCgQQP+85//KG2mTJmifK1Wqxk3bhzr168nPDxcOX///n1WrVpVqrxDUFAQ/fv3B2DWrFksXLiQo0eP0qlTJ412Ojo6mJiYoFKpKlVGoqJxFy9ejJubm8bL4b744gtsbW05f/48jo6Opca7dOkSWlpa1KpVSzl34cIFABo1avTYeODhTurFixeTl5eHp6cn27ZtK9Wmdu3aXLp0qdwxZs+eTVRUVKXmE0IIIYQQQgghqorsEBZCvNI8PT1RqVTKsZeXFxcuXKCwsFA59+jOUYC0tDS8vb01znl7e5fq5+XlpdHGy8uLtLS0MuNIS0ujWbNmSjK4ZMyioiLS09OVc02aNEFLS0s5trGx4dq1a8pxSEgI69at4969e9y/f5+1a9cyePDgcufMz8+nffv2ZV4H2LBhA97e3lhbW2NoaMiUKVPIysrSaFOvXr0ya/26uLgoX9eoUQNjY2ONWP+uisZNSUlh3759GBoaKp+SpG555Rru3r2Lrq6uxvfBo2VDKmP8+PGcPHmSXbt2oaWlRUBAQKkx9PX1ycvLK3eMSZMmcfv2beVz+fLlJ4pBCCGEEEIIIYR4EWSHsBDiH+/RJG1Ve7QMATysqVtUVKQc+/v7o6ury+bNm9HR0aGgoIDevXuXOZa+vn6Fcx0+fJgBAwYQFRWFr68vJiYmrF+/vlS95PLuz+Ni/bsqGjc3N1fZVf1XNjY2ZY5nYWFBXl6exgvxSnYSnzt3Djc3t8fGZGFhgYWFBY6Ojjg7O2Nra8uRI0c0filw48aNCl+Sp6uri66u7mPnEkIIIYQQQgghqpLsEBZCvNISExM1jo8cOYKDg4PGLty/cnZ2JiEhQeNcQkICjo6OGv2OHDlSamxnZ+dyx0xJSeHOnTsaY1arVg0nJ6dKr0dbW5vAwEBiY2OJjY3l7bffLjfx6+DggL6+Pnv37i3z+qFDh6hXrx6TJ0/Gw8MDBweHCksePA0dHR2N3dV/l7u7O2fPnkWtVtOwYUONT3mJa1dXVwBSU1M1zjVu3JiYmJgyk9i3bt0qN4aS9vn5+cq5e/fukZGRUankshBCCCGEEEII8TKTHcJCiFdaVlYWY8aMYdiwYZw4cYJFixaV2gH7V2PHjqVFixbMmDGDfv36cfjwYRYvXsySJUs02iUkJPDxxx/TvXt3du/ezcaNG/nuu+/KHHPAgAFMmzaNwMBAIiMj+f3333nvvfcYOHCgxkveKiM4OFhJPP81cf0oPT09JkyYQHh4ODo6Onh7e/P7779z9uxZhgwZgoODA1lZWaxfv54WLVrw3XffsXnz5ieKpbLUajW5ubns3buXZs2aYWBggIGBwROPM3LkSD7//HP69+9PeHg4NWvW5OLFi6xfv57ly5eXmei3tLTE3d2dgwcPKslhlUpFbGwsHTp0oHXr1kyePJlGjRqRm5vLt99+y65du9i/fz+JiYkkJSXxn//8BzMzMzIyMoiIiKBBgwYau4OPHDmCrq5uqTIiQghRInNO16oOQQghhBBCiEqRHcJCiFdaQEAAd+/epWXLlowcOZJRo0YxdOjQCvu4u7vz5Zdfsn79el577TWmTp3K9OnTNV4oBw8Tx8eOHcPNzY2ZM2cyd+5cfH19yxzTwMCAnTt3cuPGDVq0aEHv3r1p3749ixcvfuI1OTg40KpVKxo1asTrr79eYduIiAjGjh3L1KlTcXZ2pl+/fko93rfeeov333+f0NBQXF1dOXTokPIivWetVatWDB8+nH79+mFpacnHH3/8t8apXbs2CQkJFBYW0rFjR5o2bcro0aMxNTWlWrXy/8kKDg5mzZo1GudatmzJsWPHaNiwISEhITg7O/PWW29x9uxZ5s+fDzx8bps2baJ9+/Y4OTkxZMgQXFxc2L9/v0b5h3Xr1jFgwIC/leQWQgghhBBCCCFeJqriJ33zjhBCvCR8fHxwdXVVknvPklqtZvTo0YwePfqZj/04xcXFODg4MGLECMaMGfPC538V3b17FycnJzZs2PDMd/H+8ccfODk5cezYMezt7SvdLycnBxMTE27fvo2xsfEzjUkIIYQQQgghhPiryv4cKiUjhBDiJfL777+zfv16rly5wqBBg6o6nFeGvr4+q1at4o8//njmY2dmZrJkyZInSgYLIYQQQgghhBAvK0kICyHES6RWrVpYWFjw2WefYWZmVtXhvFJ8fHyey7geHh54eHg8l7GFEEIIIYQQQogXTWoICyFeWfHx8c+lXAQ83BVaVeUifv/9d955550n7puZmYlKpSI5ORl4eH9UKhW3bt2q9BhqtfqJ72lQUBDdu3dXjn18fJ7pvVOpVGzZskU5PnfuHJ6enujp6SkvkRNCCCGEEEIIIUTlSEJYCCH+oVq1akV2djYmJiYvdN5NmzYxY8aM5zb+tGnTqFGjBunp6ezdu7dSfSIjI58qeRwUFERmZubf7i+EEEIIIYQQQrwspGSEEOJf5/79++jo6FR1GM+djo4O1tbWL3zemjVrPtfxMzIy6Nq1K/Xq1Xuu89y4cYN169YxYsQIjbmPHDnCgAEDnuvcQgjxvKgnflfVIYhHZM7pWtUhCCGEEOJfSHYICyFeaT4+PoSGhhIaGoqJiQkWFhZERERQXFystFGr1cyYMYOAgACMjY0ZOnQoAAcPHqR169bo6+tja2tLWFgYd+7cUfplZ2fTtWtX9PX1sbe3Z+3ataVKKqhUKpYvX06PHj0wMDDAwcGBrVu3asR45swZOnfujKGhIVZWVgwcOFDj5Wc+Pj6EhYURHh5OzZo1sba2JjIy8rFrP3r0KG5ubujp6eHh4cHJkyc1rpdVMuLrr7+mSZMm6OrqolariYmJqcxtVhQWFjJmzBhMTU0xNzcnPDxc416XrOfRkhFLlizBwcEBPT09rKys6N27t3KtrBIVrq6u5a5fpVJx/Phxpk+fjkqlUtpNmDABR0dHDAwMqF+/PhERERQUFAAQFxdHVFQUKSkpqFQqVCoVcXFxANy6dYvg4GAsLS0xNjamXbt2pKSkAKCnp8evv/5Kp06d+OWXX/j0008JCgqSl8sJIYQQQgghhHilSUJYCPHKW7lyJdra2hw9epQFCxYwd+5cli9frtEmOjqaZs2acfLkSSIiIsjIyKBTp0706tWLU6dOsWHDBg4ePEhoaKjSJyAggN9++434+Hi+/vprPvvsM65du1Zq/qioKPr27cupU6fo0qULAwYM4MaNG8DDhGO7du1wc3Pj2LFj7Nixg6tXr9K3b99Sa6hRowaJiYl8/PHHTJ8+nd27d5e75tzcXPz8/GjcuDHHjx8nMjKScePGVXifjh8/Tt++fXn77bc5ffo0kZGRREREKMnRyoiJiSEuLo4vvviCgwcPcuPGDTZv3lxu+2PHjhEWFsb06dNJT09nx44dvPHGG5We76+ys7Np0qQJY8eOJTs7W1mzkZERcXFxpKamsmDBAj7//HPmzZsHQL9+/Rg7dixNmjQhOzub7Oxs+vXrB0CfPn24du0a33//PcePH8fd3Z327dtz48YNDAwMmDVrFqNGjSI+Pp4jR47www8/0KpVqzJjy8/PJycnR+MjhBBCCCGEEEK8bKRkhBDilWdra8u8efNQqVQ4OTlx+vRp5s2bR0hIiNKmXbt2jB07VjkODg5mwIAByk5WBwcHFi5cSJs2bVi6dCmZmZns2bOHpKQkPDw8AFi+fDkODg6l5g8KCqJ///4AzJo1i4ULF3L06FE6derE4sWLcXNzY9asWUr7L774AltbW86fP4+joyMALi4uTJs2TYll8eLF7N27lzfffLPMNa9du5aioiJWrFiBnp4eTZo04ZdffuHdd98t9z7NnTuX9u3bExERAYCjoyOpqal88sknBAUFPe42AzB//nwmTZpEz549Afj000/ZuXNnue2zsrKoUaMGfn5+GBkZUa9ePdzc3Co1V1msra3R1tbG0NBQoxzGlClTlK/VajXjxo1j/fr1hIeHo6+vj6GhIdra2hp9Dh48yNGjR7l27Rq6urrAw18cbNmyha+++oqAgABmzZpFYmIiPj4+eHh40KFDBz755BNatmxZKrbZs2cTFRX1t9cmhBBCCCGEEEK8CLJDWAjxyvP09ESlUinHXl5eXLhwgcLCQuVcSVK3REpKCnFxcRgaGiofX19fioqK+Pnnn0lPT0dbWxt3d3elT8OGDTEzMys1v4uLi/J1jRo1MDY2VnYSp6SksG/fPo15GjVqBDysR1vWGAA2NjbKGMOHD9foD5CWloaLiwt6enoa665IWloa3t7eGue8vb1L3avy3L59m+zsbF5//XXlnLa2dql7+6g333yTevXqUb9+fQYOHMiaNWvIy8t77FxPasOGDXh7e2NtbY2hoSFTpkwhKyurwj4pKSnk5uZibm6ucX9//vlnMjIyyMvLw8rKih07dlC3bl2GDx/OF198wfnz58scb9KkSdy+fVv5XL58+ZmvUwghhBBCCCGEeFqyQ1gI8a9Qo0YNjePc3FyGDRtGWFhYqbZ2dnblJv3KUr16dY1jlUpFUVGRMo+/vz8fffRRqX42NjaVGmP69OmPLQfxsjIyMuLEiRPEx8eza9cupk6dSmRkJElJSZiamlKtWrVSNYhLav9W1uHDhxkwYABRUVH4+vpiYmLC+vXrH1sfOTc3FxsbG+Lj40tdMzU1pWbNmowcOVLjfIMGDWjQoEGZ4+nq6io7jYUQQgghhBBCiJeVJISFEK+8xMREjeMjR47g4OCAlpZWuX3c3d1JTU2lYcOGZV53cnLiwYMHnDx5kubNmwNw8eJFbt68+USxubu78/XXX6NWq9HW/nv/y61Vqxa1atXSOOfs7Mzq1au5d++eskv4yJEjFY7j7OxMQkKCxrmEhAQcHR0rvFclTExMsLGxITExUakD/ODBA6X2bnm0tbXp0KEDHTp0YNq0aZiamvLDDz/Qs2dPLC0tyc7OVtrm5OTw888/PzaWRx06dIh69eoxefJk5dylS5c02ujo6JTaBe3u7s6VK1fQ1tZGrVZXOMeT1FkWQoiXWeacrlUdghBCCCGEqGJSMkII8crLyspizJgxpKens27dOhYtWsSoUaMq7DNhwgQOHTpEaGgoycnJXLhwgW+++UZ5qVyjRo3o0KEDQ4cO5ejRo5w8eZKhQ4eir6+vUZ7icUaOHMmNGzfo378/SUlJZGRksHPnTgYNGlSpMg3leeedd1CpVISEhJCamsr27duJjo6usM/YsWPZu3cvM2bM4Pz586xcuZLFixc/0e7jUaNGMWfOHLZs2cK5c+cYMWIEt27dKrf9tm3bWLhwIcnJyVy6dIlVq1ZRVFSEk5MT8LC28+rVqzlw4ACnT58mMDCwUsnpRzk4OJCVlcX69evJyMhg4cKFpV50p1ar+fnnn0lOTuaPP/4gPz+fDh064OXlRffu3dm1axeZmZkcOnSIyZMnc+zYsSeKQQghhBBCCCGEeFVIQlgI8coLCAjg7t27tGzZkpEjRzJq1CiGDh1aYR8XFxf279/P+fPnad26NW5ubkydOpXatWsrbVatWoWVlRVvvPEGPXr0ICQkBCMjI426vY9Tu3ZtEhISKCwspGPHjjRt2pTRo0cr5RL+LkNDQ7799ltOnz6Nm5sbkydPLrMsxaPc3d358ssvWb9+Pa+99hpTp05l+vTplX6hHDxMKg8cOJDAwEC8vLwwMjKiR48e5bY3NTVl06ZNtGvXDmdnZz799FPWrVtHkyZNgId1d9u0aYOfnx9du3ale/fu5ZZkKM9bb73F+++/T2hoKK6urhw6dEh5cV6JXr160alTJ9q2bYulpSXr1q1DpVKxfft23njjDQYNGoSjoyNvv/02ly5dwsrK6oliEEIIIYQQQgghXhWq4r8WbxRCiFeIj48Prq6uzJ8//7nP9csvv2Bra8uePXto3779c59PvNpycnIwMTHh9u3bGBsbV3U4QgghhBBCCCH+4Sr7c6jUEBZCiHL88MMP5Obm0rRpU7KzswkPD0etViv1c4UQQgghhBBCCCFeNVIyQgghylFQUMAHH3xAkyZN6NGjB5aWlsTHx1O9evVnNoePjw+jR4+usI1arX4hO6BfRpGRkbi6upY6Z2VlhUqlYsuWLVUSlxBCCCGEEEII8aqSHcJCiFdafHz8Mx3v0RIUvr6++Pr6PtPx/2rTpk3PNMH8T5eWlkZUVBSbN2/G09MTMzOzSvVTqVRs3ryZ7t27P/GcmZmZREZGEhcX98R9hRBCCCGEEEKIl40khIUQL9z9+/fR0dGp6jCeq8qusWbNmi8gmn+OjIwMALp164ZKpXquc61ZswZPT0+0tLQAKC4uZsmSJbzzzjuVTkQLIcTLRj3xu6oOQVSxzDldqzoEIYQQQlQxKRkhhHgqPj4+hIaGEhoaiomJCRYWFkRERPDo+yrVajUzZswgICAAY2Njhg4dCsDBgwdp3bo1+vr62NraEhYWxp07d5R+2dnZdO3aFX19fezt7Vm7dm2p8gkqlYrly5fTo0cPDAwMcHBwYOvWrRXGvGTJEhwcHNDT08PKyorevXsDEBQUxP79+1mwYAEqlQqVSkVmZiYAZ86coXPnzhgaGmJlZcXAgQP5448/St2H0aNHY2Fhoews3r9/Py1btkRXVxcbGxsmTpzIgwcPNPo9WjLi2rVr+Pv7K2tes2bNY59BUFAQ3bt3Z9asWVhZWWFqasr06dN58OAB48ePp2bNmtStW5fY2FiNfqdPn6Zdu3bo6+tjbm7O0KFDyc3NLTVudHQ0NjY2mJubM3LkSAoKCpQ2N2/eJCAgADMzMwwMDOjcuTMXLlxQrl+6dAl/f3/MzMyoUaMGTZo0Yfv27QDExcVhamqqEdOWLVvKTfRGRkbi7+8PQLVq1ZR2SUlJvPnmm1hYWGBiYkKbNm04ceKE0k+tVgPQo0cPVCqVcgzwzTff4O7ujp6eHvXr1ycqKkp5Pvb29gQGBvLpp5/yyy+/0KlTJ3799Vd0dXUf+0yEEEIIIYQQQoiXlSSEhRBPbeXKlWhra3P06FEWLFjA3LlzWb58uUab6OhomjVrxsmTJ4mIiCAjI4NOnTrRq1cvTp06xYYNGzh48CChoaFKn4CAAH777Tfi4+P5+uuv+eyzz7h27Vqp+aOioujbty+nTp2iS5cuDBgwgBs3bpQZ67FjxwgLC2P69Omkp6ezY8cO5SVxCxYswMvLi5CQELKzs8nOzsbW1pZbt27Rrl073NzcOHbsGDt27ODq1av07du31H3Q0dEhISGBTz/9lF9//ZUuXbrQokULUlJSWLp0KStWrGDmzJnl3sugoCAuX77Mvn37+Oqrr1iyZEmZa/6rH374gd9++40ff/yRuXPnMm3aNPz8/DAzMyMxMZHhw4czbNgwfvnlFwDu3LmDr68vZmZmJCUlsXHjRvbs2aNx/wH27dtHRkYG+/btY+XKlcTFxWmUTggKCuLYsWNs3bqVw4cPU1xcTJcuXZSk8ciRI8nPz+fHH3/k9OnTfPTRRxgaGj52PWUZN26cktQueT4Af/75J4GBgRw8eJAjR47g4OBAly5d+PPPP4GHCWOA2NhYsrOzleMDBw4QEBDAqFGjSE1NZdmyZcTFxfHhhx8C0KpVK/bt28fhw4eJj49n9OjRzJo1CwMDg78VvxBCCCGEEEII8TKQkhFCiKdma2vLvHnzUKlUODk5cfr0aebNm0dISIjSpl27dowdO1Y5Dg4OZsCAAcruWAcHBxYuXEibNm1YunQpmZmZ7Nmzh6SkJDw8PABYvnw5Dg4OpeYPCgqif//+AMyaNYuFCxdy9OhROnXqVKptVlYWNWrUwM/PDyMjI+rVq4ebmxsAJiYm6OjoYGBggLW1tdJn8eLFuLm5MWvWLOXcF198ga2tLefPn8fR0VFZw8cff6y0mTx5Mra2tixevBiVSkWjRo347bffmDBhAlOnTqVaNc3fyZ0/f57vv/+eo0eP0qJFCwBWrFiBs7PzY59BzZo1WbhwIdWqVcPJyYmPP/6YvLw8PvjgAwAmTZrEnDlzOHjwIG+//TZr167l3r17rFq1iho1aijr9Pf356OPPsLKygoAMzMzFi9ejJaWFo0aNaJr167s3buXkJAQLly4wNatW0lISKBVq1bAwzILtra2bNmyhT59+pCVlUWvXr1o2rQpAPXr13/sWspjaGio7Ch+9Pm0a9dOo91nn32Gqakp+/fvx8/PD0tLSwBMTU01+kVFRTFx4kQCAwOV2GbMmEF4eDjTpk0jMTGR8ePH06pVK6pXr878+fM5fPgwH3zwAXp6eqXiy8/PJz8/XznOycn522sVQgghhBBCCCGeF9khLIR4ap6enhp/5u/l5cWFCxcoLCxUzpUkdUukpKQQFxeHoaGh8vH19aWoqIiff/6Z9PR0tLW1cXd3V/o0bNiwzNqtLi4uytc1atTA2Ni43F21b775JvXq1aN+/foMHDiQNWvWkJeXV+H6UlJS2Ldvn0asjRo1Av6vpi1A8+bNNfqlpaXh5eWlcW+8vb3Jzc1Vdur+tb22trbGOI0aNSpVVqEsTZo00UgwW1lZKUlYAC0tLczNzZX7kpaWRrNmzZRkcElsRUVFpKena4xbUkMXwMbGRmMMbW1tXn/9deW6ubk5Tk5OpKWlARAWFsbMmTPx9vZm2rRpnDp16rFreVJXr14lJCQEBwcHTExMMDY2Jjc3l6ysrAr7paSkMH36dI3nWrI7PC8vjwsXLhAbG8vw4cOpW7cuO3bswMrKqtzvl9mzZ2NiYqJ8bG1tn/lahRBCCCGEEEKIpyUJYSHEC/Fo4hEgNzeXYcOGkZycrHxSUlK4cOECDRo0eKKxq1evrnGsUqkoKioqs62RkREnTpxg3bp12NjYMHXqVJo1a8atW7fKHT83Nxd/f3+NWJOTk7lw4YJSbqKsNb5IZd2DJ7kvTzLuk4wRHBzMTz/9xMCBAzl9+jQeHh4sWrQIeFgH+NFa04BGfeLKCgwMJDk5mQULFnDo0CGSk5MxNzfn/v37FfbLzc0lKipK45mePn2aCxcuoKenx//7f/9P43tRpVIxcuTIcl8EOGnSJG7fvq18Ll++/MRrEUIIIYQQQgghnjdJCAshnlpiYqLGcUkd10d3lv6Vu7s7qampNGzYsNRHR0cHJycnHjx4wMmTJ5U+Fy9e5ObNm08dr7a2Nh06dODjjz/m1KlTZGZm8sMPPwCgo6OjsbO5JNazZ8+iVqtLxVpREtjZ2Vmpq1siISEBIyMj6tatW6p9o0aNePDgAcePH1fOpaenV5is/rucnZ1JSUnReIlfQkKCUnKismM8ePBA4/lfv36d9PR0GjdurJyztbVl+PDhbNq0ibFjx/L5558DYGlpyZ9//qkRQ3Jy8hOvJSEhgbCwMLp06UKTJk3Q1dXVeOEfPExsl/Vc09PTy/wefHS3tVqt1qibXB5dXV2MjY01PkIIIYQQQgghxMtGaggLIZ5aVlYWY8aMYdiwYZw4cYJFixYRExNTYZ8JEybg6elJaGgowcHB1KhRg9TUVHbv3s3ixYtp1KgRHTp0YOjQoSxdupTq1aszduxY9PX1NUowPKlt27bx008/8cYbb2BmZsb27dspKipSkqBqtZrExEQyMzMxNDSkZs2ajBw5ks8//5z+/fsTHh5OzZo1uXjxIuvXr2f58uXlJr5HjBjB/Pnzee+99wgNDSU9PZ1p06YxZsyYUvWDAZycnOjUqRPDhg1j6dKlaGtrM3r0aPT19f/2esszYMAApk2bRmBgIJGRkfz++++89957DBw4UKkf/DgODg5069aNkJAQli1bhpGRERMnTqROnTp069YNgNGjR9O5c2ccHR25efMm+/btU2oiv/766xgYGPDBBx8QFhZGYmJipRKvZcWxevVqPDw8yMnJYfz48aXumVqtZu/evXh7e6Orq4uZmRlTp07Fz88POzs7evfuTbVq1UhJSeHMmTMVvvhPCCFeZZlzulZ1CEIIIYQQoorJDmEhxFMLCAjg7t27tGzZkpEjRzJq1CiGDh1aYR8XFxf279/P+fPnad26NW5ubkydOpXatWsrbVatWoWVlRVvvPEGPXr0ICQkBCMjozJf6FVZpqambNq0iXbt2uHs7Mynn37KunXraNKkCQDjxo1DS0uLxo0bY2lpSVZWFrVr1yYhIYHCwkI6duxI06ZNGT16NKampmUmdkvUqVOH7du3c/ToUZo1a8bw4cMZMmQIU6ZMKbdPbGwstWvXpk2bNvTs2ZOhQ4dSq1atv73e8hgYGLBz505u3LhBixYt6N27N+3bt2fx4sVPNE5sbCzNmzfHz88PLy8viouL2b59u1JqorCwkJEjR+Ls7EynTp1wdHRkyZIlwMMX4f3vf/9j+/btNG3alHXr1hEZGfnEa1mxYgU3b97E3d2dgQMHEhYWVuqexcTEsHv3bmxtbZWXCPr6+rJt2zZ27dpFixYt8PT0ZN68edSrV++JYxBCCCGEEEIIIV4VquK/FnAUQogn4OPjg6urK/Pnz3/uc/3yyy/Y2tqyZ88e2rdv/9znE+Jp5OTkYGJiwu3bt6V8hBBCCCGEEEKI566yP4dKyQghxEvrhx9+IDc3l6ZNm5KdnU14eDhqtVrjRW5CCCGEEEIIIYQQovIkISyEeGkVFBTwwQcf8NNPP2FkZESrVq1Ys2aNUo5ACCGEEEIIIYQQQjwZqSEshHgq8fHxz61chK+vL2fOnCEvL4+rV6+yefPmp67vqlarX0h5i4oEBQXRvXv3Kpk7Li4OU1PTKpn7r3x8fBg9evQ/Zh4hhBBCCCGEEOJVIDuEhRDiH0qtVjN69Oh/fTJ006ZNsqtcCCGEEEIIIYT4/0lCWAghxD9azZo1qzoEIcQj1BO/q+oQ/tUy53St6hCEEEIIIUQVk5IRQoh/FB8fH0JDQwkNDcXExAQLCwsiIiIoLi5W2uTl5TF48GCMjIyws7Pjs88+0xjj9OnTtGvXDn19fczNzRk6dCi5ubnK9fj4eFq2bEmNGjUwNTXF29ubS5cuARAZGYmrqyvLli3D1tYWAwMD+vbty+3bt0vFGh0djY2NDebm5owcOZKCggLl2s2bNwkICMDMzAwDAwM6d+7MhQsXNPofPHiQ1q1bo6+vj62tLWFhYdy5c0e5D5cuXeL9999HpVKhUqk0+u7cuRNnZ2cMDQ3p1KkT2dnZyrWkpCTefPNNLCwsMDExoU2bNpw4cUKjv0qlYvny5fTo0QMDAwMcHBzYunWrRpv9+/fTsmVLdHV1sbGxYeLEiTx48KDcZ7d69Wo8PDwwMjLC2tqad955h2vXrmncd5VKxc6dO3Fzc0NfX5927dpx7do1vv/+e5ydnTE2Nuadd94hLy9P6ffXkhFqtZpZs2ZV+D1w+fJl+vbti6mpKTVr1qRbt25kZmaWG7sQQgghhBBCCPGqkISwEOIfZ+XKlWhra3P06FEWLFjA3LlzWb58uXI9JiYGDw8PTp48yYgRI3j33XdJT08H4M6dO/j6+mJmZkZSUhIbN25kz549hIaGAvDgwQO6d+9OmzZtOHXqFIcPH2bo0KEaCdeLFy/y5Zdf8u2337Jjxw5lnkft27ePjIwM9u3bx8qVK4mLiyMuLk65HhQUxLFjx9i6dSuHDx+muLiYLl26KEnjjIwMOnXqRK9evTh16hQbNmzg4MGDSpybNm2ibt26TJ8+nezsbI2Eb15eHtHR0axevZoff/yRrKwsxo0bp1z/888/CQwM5ODBgxw5cgQHBwe6dOnCn3/+qbGGqKgo+vbty6lTp+jSpQsDBgzgxo0bAPz666906dKFFi1akJKSwtKlS1mxYgUzZ84s97kVFBQwY8YMUlJS2LJlC5mZmQQFBZVqFxkZyeLFizl06JCSuJ0/fz5r167lu+++Y9euXSxatKjceaDi74GCggJ8fX0xMjLiwIEDJCQkKInz+/fvVziuEEIIIYQQQgjxslMVP7ptTgghXnE+Pj5cu3aNs2fPKknaiRMnsnXrVlJTU1Gr1bRu3ZrVq1cDUFxcjLW1NVFRUQwfPpzPP/+cCRMmcPnyZWrUqAHA9u3b8ff357fffqN69eqYm5sTHx9PmzZtSs0fGRnJzJkzuXTpEnXq1AFgx44ddO3alV9//RVra2uCgoKIj48nIyMDLS0tAPr27Uu1atVYv349Fy5cwNHRkYSEBFq1agXA9evXsbW1ZeXKlfTp04fg4GC0tLRYtmyZMvfBgwdp06YNd+7cQU9Pr8wawnFxcQwaNIiLFy/SoEEDAJYsWcL06dO5cuVKmfe0qKgIU1NT1q5di5+fH/Bwh/CUKVOYMWMG8DCRbmhoyPfff0+nTp2YPHkyX3/9NWlpacpzWLJkCRMmTOD27dtUq1YNHx8fXF1dy33J37Fjx2jRogV//vknhoaGxMfH07ZtW/bs2UP79u0BmDNnDpMmTSIjI4P69esDMHz4cDIzM9mxY4fyPfHoPI/7Hvjf//7HzJkzNWK/f/8+pqambNmyhY4dO5YZb35+Pvn5+cpxTk4Otra23L59G2Nj4zL7CPFvJCUjqpaUjBBCCCGE+OfKycnBxMTksT+Hyg5hIcQ/jqenp8aOXS8vLy5cuEBhYSEALi4uyjWVSoW1tbVSmiAtLY1mzZopyWAAb29vioqKSE9Pp2bNmgQFBeHr64u/vz8LFizQ2H0LYGdnpySDS+Yv6V+iSZMmSjIYwMbGRiMGbW1tXn/9deW6ubk5Tk5OpKWlAZCSkkJcXByGhobKx9fXl6KiIn7++ecK74+BgYGSDP7r3ABXr14lJCQEBwcHTExMMDY2Jjc3l6ysLI1xHr2PNWrUwNjYWGMNXl5eGs/B29ub3NxcfvnllzLjOn78OP7+/tjZ2WFkZKQk3Cua18rKCgMDAyUZXHLu0fWUpaLvgZSUFC5evIiRkZFyb2vWrMm9e/fIyMgod8zZs2djYmKifGxtbSuMQQghhBBCCCGEqAryUjkhxL9O9erVNY5VKhVFRUWV7h8bG0tYWBg7duxgw4YNTJkyhd27d+Pp6fnCYsjNzWXYsGGEhYWVumZnZ/fEcz/6xyKBgYFcv36dBQsWUK9ePXR1dfHy8ipVLuFp1/CoklIdvr6+rFmzBktLS7KysvD19a1wXpVK9bfiqKhPbm4uzZs3Z82aNaX6WVpaljvmpEmTGDNmjHJcskNYCCGEEEIIIYR4mUhCWAjxj5OYmKhxXFIH99EdueVxdnYmLi6OO3fuKLuEExISqFatGk5OTko7Nzc33NzcmDRpEl5eXqxdu1ZJCGdlZfHbb79Ru3ZtZf6/9n9cDA8ePCAxMVGjZER6ejqNGzcGwN3dndTUVBo2bFjuODo6Osqu6CeRkJDAkiVL6NKlC/DwBWt//PHHE43h7OzM119/TXFxsbJLOCEhASMjI+rWrVuq/blz57h+/Tpz5sxRkqjHjh174tifBXd3dzZs2ECtWrWeqNSDrq4uurq6zzEyIYQQQgghhBDi6UlCWAjxj5OVlcWYMWMYNmwYJ06cYNGiRcTExFSq74ABA5g2bRqBgYFERkby+++/89577zFw4ECsrKz4+eef+eyzz3jrrbeoXbs26enpXLhwgYCAAGUMPT09AgMDiY6OJicnh7CwMPr27Yu1tXWlYnBwcKBbt26EhISwbNkyjIyMmDhxInXq1KFbt24ATJgwAU9PT0JDQwkODqZGjRqkpqaye/duFi9eDDyslfvjjz/y9ttvo6uri4WFRaXnX716NR4eHuTk5DB+/Hj09fUr1bfEiBEjmD9/Pu+99x6hoaGkp6czbdo0xowZQ7VqpasV2dnZoaOjw6JFixg+fDhnzpxR6hO/aAMGDOCTTz6hW7duTJ8+nbp163Lp0iU2bdpEeHh4mQltIUTlSQ1bIYQQQgghqpbUEBZC/OMEBARw9+5dWrZsyciRIxk1ahRDhw6tVF8DAwN27tzJjRs3aNGiBb1796Z9+/ZKktXAwIBz587Rq1cvHB0dGTp0KCNHjmTYsGHKGA0bNqRnz5506dKFjh074uLiwpIlS55oDbGxsTRv3hw/Pz+8vLwoLi5m+/btSqkDFxcX9u/fz/nz52ndujVubm5MnTpV2ZUMMH36dDIzM2nQoEGFpQ7+asWKFdy8eRN3d3cGDhxIWFgYtWrVeqL469Spw/bt2zl69CjNmjVj+PDhDBkyhClTppTZ3tLSkri4ODZu3Ejjxo2ZM2cO0dHRTzTns2JgYMCPP/6InZ0dPXv2xNnZmSFDhnDv3j15OZwQQgghhBBCiFeeqvjRwpFCCPGK8/HxwdXVlfnz51fJ/JGRkWzZsoXk5OQqmV+8PCr7dlchhBBCCCGEEOJZqOzPobJDWAghhBBCCCGEEEIIIf4lJCEshBBCCCGEEEIIIYQQ/xKSEBZC/KPEx8dXWbkIeFgyIjk5mczMTFQq1VOXjlCr1RrrUalUbNmy5anGfBaCgoLo3r17lcYQFxeHqalplcYghBBCCCGEEEK8aiQhLIQQr5Ds7Gw6d+5c1WH8o7wsSXYhhBBCCCGEEOJF0K7qAIQQQlSetbV1VYcghBDiKagnflel82fO6Vql8wshhBBCiKonO4SFEOJvKioq4uOPP6Zhw4bo6upiZ2fHhx9+qNHmp59+om3bthgYGNCsWTMOHz6scf3rr7+mSZMm6OrqolariYmJqXDOR3ezlpSl2LRpU4VzHDx4kNatW6Ovr4+trS1hYWHcuXOn3DkiIyNxdXVl2bJl2NraYmBgQN++fbl9+3apttHR0djY2GBubs7IkSMpKChQrt28eZOAgADMzMwwMDCgc+fOXLhwQbl+6dIl/P39MTMzo0aNGjRp0oTt27cDD0t/qFQqvvvuO1xcXNDT08PT05MzZ86UimHnzp04OztjaGhIp06dyM7OVq4lJSXx5ptvYmFhgYmJCW3atOHEiRPKdbVaDUCPHj1QqVTKMcA333yDu7s7enp61K9fn6ioKB48eFDufRNCCCGEEEIIIV4FkhAWQoi/adKkScyZM4eIiAhSU1NZu3YtVlZWGm0mT57MuHHjSE5OxtHRkf79+ytJxePHj9O3b1/efvttTp8+TWRkJBEREcTFxT1RHBXNkZGRQadOnejVqxenTp1iw4YNHDx4kNDQ0ArHvHjxIl9++SXffvstO3bs4OTJk4wYMUKjzb59+8jIyGDfvn2sXLmSuLg4jdiDgoI4duwYW7du5fDhwxQXF9OlSxclaTxy5Ejy8/P58ccfOX36NB999BGGhoYac4wfP56YmBiSkpKwtLTE399fI+mcl5dHdHQ0q1ev5scffyQrK4tx48Yp1//8808CAwM5ePAgR44cwcHBgS5duvDnn38CDxPGALGxsWRnZyvHBw4cICAggFGjRpGamsqyZcuIi4srlfAXQgghhBBCCCFeNari4uLiqg5CCCFeNX/++SeWlpYsXryY4ODgUtczMzOxt7dn+fLlDBkyBIDU1FSaNGlCWloajRo1YsCAAfz+++/s2rVL6RceHs53333H2bNngYc7WEePHs3o0aOBhzuEN2/eTPfu3Ss1R3BwMFpaWixbtkyZ4+DBg7Rp04Y7d+6gp6dXKvbIyEhmzpzJpUuXqFOnDgA7duyga9eu/Prrr1hbWxMUFER8fDwZGRloaWkB0LdvX6pVq8b69eu5cOECjo6OJCQk0KpVKwCuX7+Ora0tK1eupE+fPri4uNCrVy+mTZtWKob4+Hjatm3L+vXr6devHwA3btygbt26xMXF0bdvX+Li4hg0aBAXL16kQYMGACxZsoTp06dz5cqVMp9bUVERpqamrF27Fj8/v1L3tESHDh1o3749kyZNUs7973//Izw8nN9++63MsfPz88nPz1eOc3JysLW15fbt2xgbG5fZRwjx7yMlI4QQQgghxPOSk5ODiYnJY38OlR3CQgjxN6SlpZGfn0/79u0rbOfi4qJ8bWNjA8C1a9eUMby9vTXae3t7c+HCBQoLCysdS0VzpKSkEBcXh6GhofLx9fWlqKiIn3/+udwx7ezslGQwgJeXF0VFRaSnpyvnmjRpoiSDS+Z+dG3a2tq8/vrrynVzc3OcnJxIS0sDICwsjJkzZ+Lt7c20adM4depUqTi8vLyUr2vWrKnRH8DAwEBJBv81BoCrV68SEhKCg4MDJiYmGBsbk5ubS1ZWVrlrL7lv06dP17hvISEhZGdnk5eXV2af2bNnY2JionxsbW0rnEMIIYQQQgghhKgK8lI5IYT4G/T19SvVrnr16srXKpUKeLhL9VmqaI7c3FyGDRtGWFhYqX52dnbPbN6SuZ9kbcHBwfj6+vLdd9+xa9cuZs+eTUxMDO+9995TxfDoH74EBgZy/fp1FixYQL169dDV1cXLy4v79+9XOG5ubi5RUVH07Nmz1LWydlXDwxIiY8aMUY5LdggLIYQQQgghhBAvE0kICyHE3+Dg4IC+vj579+4ts2REZTg7O5OQkKBxLiEhAUdHR42dt0/D3d2d1NRUGjZs+ET9srKy+O2336hduzYAR44coVq1ajg5OVWqv7OzMw8ePCAxMVGjZER6ejqNGzdW2tna2jJ8+HCGDx/OpEmT+PzzzzUSwkeOHFES1zdv3uT8+fM4OztXeh0JCQksWbKELl26AHD58mX++OMPjTbVq1cvtSPb3d2d9PT0J7pvurq66OrqVrq9EEIIIYQQQghRFSQhLIQQf4Oenh4TJkwgPDwcHR0dvL29+f333zl79qxSz/dxxo4dS4sWLZgxYwb9+vXj8OHDLF68mCVLljyzOCdMmICnpyehoaEEBwdTo0YNUlNT2b17N4sXLy63n56eHoGBgURHR5OTk0NYWBh9+/bF2tq6UvM6ODjQrVs3QkJCWLZsGUZGRkycOJE6derQrVs3AEaPHk3nzp1xdHTk5s2b7Nu3r1Syd/r06Zibm2NlZcXkyZOxsLDQqPVbmThWr16Nh4cHOTk5jB8/vtTubrVazd69e/H29kZXVxczMzOmTp2Kn58fdnZ29O7dm2rVqpGSksKZM2eYOXNmpecXQoi/khq+QgghhBCiqkkNYSGE+JsiIiIYO3YsU6dOxdnZmX79+mnUr30cd3d3vvzyS9avX89rr73G1KlTmT59OkFBQc8sRhcXF/bv38/58+dp3bo1bm5uTJ06Vdn5W56GDRvSs2dPunTpQseOHXFxcXniRHVsbCzNmzfHz88PLy8viouL2b59u1LmobCwkJEjR+Ls7EynTp1wdHQsNcecOXMYNWoUzZs358qVK3z77bfo6OhUOoYVK1Zw8+ZN3N3dGThwIGFhYdSqVUujTUxMDLt378bW1hY3NzcAfH192bZtG7t27aJFixZ4enoyb9486tWr90T3QAghhBBCCCGEeNmoih8ttiiEEOJfLzIyki1btpCcnFxlMcTHx9O2bVtu3ryJqalplcXxNCr7dlchhBBCCCGEEOJZqOzPobJDWAghhBBCCCGEEEIIIf4lJCEshBBCCCGEEEIIIYQQ/xKSEBZCiBcoMjISV1fXqg6jQpGRkVVaLgKgVatWNGjQgNTU1CqNA+CPP/6gVq1a/PLLL1UdihBCCCGEEEII8dQkISyEEI8RFBRE9+7dqzqMl55KpWLLli3PZKxPP/0Ue3t7WrVqpZz78MMPadWqFQYGBuXWFVapVKU+69evr3Cu4uJipk6dio2NDfr6+nTo0IELFy4o1y0sLAgICGDatGnPZG1CCCGEEEIIIURV0q7qAIQQQohHFRcXs3jxYqZPn65x/v79+/Tp0wcvLy9WrFhRbv/Y2Fg6deqkHD/upXQff/wxCxcuZOXKldjb2xMREYGvry+pqano6ekBMGjQIJo3b84nn3xCzZo1//7ihBCiiqknflfVIfwrZM7pWtUhCCGEEEKUS3YICyFeWT4+PoSGhhIaGoqJiQkWFhZERERQXFystMnPz2fcuHHUqVOHGjVq8PrrrxMfH69cj4uLw9TUlJ07d+Ls7IyhoSGdOnUiOzsbeFg+YeXKlXzzzTfKjtOS/hMmTMDR0REDAwPq169PREQEBQUFGjHOmTMHKysrjIyMGDJkCPfu3Su1juXLl+Ps7Iyenh6NGjViyZIlGtd/+eUX+vfvT82aNalRowYeHh4kJiYCkJGRQbdu3bCyssLQ0JAWLVqwZ88ejf5qtZpZs2YxePBgjIyMsLOz47PPPtNoc/r0adq1a4e+vj7m5uYMHTqU3Nxc5XpSUhJvvvkmFhYWmJiY0KZNG06cOKExB0CPHj1QqVTKMcA333yDu7s7enp61K9fn6ioKB48eFDWIwXg+PHjZGRk0LWr5g/TUVFRvP/++zRt2rTcvvAwAWxtba18SpK6ZSkuLmb+/PlMmTKFbt264eLiwqpVq/jtt980djs3adKE2rVrs3nz5grnFkIIIYQQQgghXnaSEBZCvNJWrlyJtrY2R48eZcGCBcydO5fly5cr10NDQzl8+DDr16/n1KlT9OnTh06dOmmUBMjLyyM6OprVq1fz448/kpWVxbhx4wAYN24cffv2VZLE2dnZShkDIyMj4uLiSE1NZcGCBXz++efMmzdPGffLL78kMjKSWbNmcezYMWxsbEole9esWcPUqVP58MMPSUtLY9asWURERLBy5UoAcnNzadOmDb/++itbt24lJSWF8PBwioqKlOtdunRh7969nDx5kk6dOuHv709WVpbGPDExMXh4eHDy5ElGjBjBu+++S3p6OgB37tzB19cXMzMzkpKS2LhxI3v27CE0NFTp/+effxIYGMjBgwc5cuQIDg4OdOnShT///BN4mDCGh7tzs7OzleMDBw4QEBDAqFGjSE1NZdmyZcTFxfHhhx+W+0wPHDiAo6MjRkZGj33+ZRk5ciQWFha0bNmSL774QuMXBJmZmRpJ/Z9//pkrV67QoUMHpY2JiQmvv/46hw8f1hi3ZcuWHDhwoNx58/PzycnJ0fgIIYQQQgghhBAvGykZIYR4pdna2jJv3jxUKhVOTk6cPn2aefPmERISQlZWFrGxsWRlZVG7dm3gYYJ3x44dxMbGMmvWLAAKCgr49NNPadCgAfAwiVxSrsDQ0BB9fX3y8/OxtrbWmHvKlCnK12q1mnHjxrF+/XrCw8MBmD9/PkOGDGHIkCEAzJw5kz179mjsEp42bRoxMTH07NkTAHt7eyVxGhgYyNq1a/n9999JSkpSShU0bNhQ6d+sWTOaNWumHM+YMYPNmzezdetWjYRuly5dGDFiBPBwZ/O8efPYt28fTk5OrF27lnv37rFq1Spq1KgBwOLFi/H39+ejjz7CysqKdu3aaaz9s88+w9TUlP379+Pn54elpSXwf7tzS0RFRTFx4kQCAwMBqF+/PjNmzCA8PLzcmryXLl1SnteTmj59Ou3atcPAwIBdu3YxYsQIcnNzCQsLA6B69eo4OTlhYGAAwJUrVwCwsrLSGMfKykq5VqJ27dqcPHmy3Llnz55NVFTU34pbCCGEEEIIIYR4USQhLIR4pXl6eqJSqZRjLy8vYmJiKCws5PTp0xQWFuLo6KjRJz8/H3Nzc+XYwMBASQYD2NjYcO3atcfOvWHDBhYuXEhGRga5ubk8ePAAY2Nj5XpaWhrDhw/X6OPl5cW+ffuAhztzMzIyGDJkCCEhIUqbBw8eYGJiAkBycjJubm7l1q3Nzc0lMjKS7777juzsbB48eMDdu3dL7RB2cXFRvlapVFhbWytrTEtLo1mzZkoyGMDb25uioiLS09OxsrLi6tWrTJkyhfj4eK5du0ZhYSF5eXml5vmrlJQUEhISNHYEFxYWcu/ePfLy8pTE7KPu3r1bYZmHikRERChfu7m5cefOHT755BMlIVynTh3OnTv3t8bW19cnLy+v3OuTJk1izJgxynFOTg62trZ/ay4hhBBCCCGEEOJ5kYSwEOIfKzc3Fy0tLY4fP46WlpbGNUNDQ+Xr6tWra1xTqVQaZQbKcvjwYQYMGEBUVBS+vr6YmJiwfv16YmJinig+gM8//5zXX39d41pJvPr6+hWOMW7cOHbv3k10dDQNGzZEX1+f3r17c//+fY12Za2xpOxEZQQGBnL9+nUWLFhAvXr10NXVxcvLq9Q8f5Wbm0tUVJSyA/pR5SV9LSwsOH36dKVjq8jrr7/OjBkzyM/PR1dXt9T1kt3MV69excbGRjl/9epVXF1dNdreuHFD2QldFl1d3TLnEEIIIYQQQgghXiaSEBZCvNJKXq5WoqS+rZaWFm5ubhQWFnLt2jVat279t+fQ0dGhsLBQ49yhQ4eoV68ekydPVs5dunRJo42zszOJiYkEBARoxFfCysqK2rVr89NPPzFgwIAy53ZxcWH58uXcuHGjzF3CCQkJBAUF0aNHD+BhAjYzM/OJ1ufs7ExcXBx37txRdgknJCRQrVo1nJyclOMlS5bQpUsXAC5fvswff/yhMU716tVL3Sd3d3fS09M1ylw8jpubG0uXLqW4uFhj9/ffkZycjJmZWbmJWnt7e6ytrdm7d6+SAM7JySExMZF3331Xo+2ZM2fw8fF5qniEEEIIIYQQQoiqJglhIcQrLSsrizFjxjBs2DBOnDjBokWLlF26jo6ODBgwgICAAGJiYnBzc+P3339n7969uLi40LVr10rNoVar2blzJ+np6Zibm2NiYoKDgwNZWVmsX7+eFi1a8N1337F582aNfqNGjSIoKAgPDw+8vb1Zs2YNZ8+epX79+kqbqKgowsLCMDExoVOnTuTn53Ps2DFu3rzJmDFj6N+/P7NmzaJ79+7Mnj0bGxsbTp48Se3atfHy8sLBwYFNmzbh7++PSqUiIiLiiXb+AgwYMIBp06YRGBhIZGQkv//+O++99x4DBw5Uaus6ODiwevVqPDw8yMnJYfz48aV2L6vVavbu3Yu3tze6urqYmZkxdepU/Pz8sLOzo3fv3lSrVo2UlBTOnDnDzJkzy4ynbdu25ObmcvbsWV577TXlfFZWFjdu3CArK4vCwkKSk5OBhzWVDQ0N+fbbb7l69Sqenp7o6emxe/duZs2apbwgEODXX3+lffv2rFq1ipYtW6JSqRg9ejQzZ87EwcEBe3t7IiIiqF27Nt27d1f65eXlcfz4caXutBBCvKoy51Tu3z4hhBBCCPHPVa2qAxBCiKcREBDA3bt3admyJSNHjmTUqFEMHTpUuR4bG0tAQABjx47FycmJ7t27k5SUhJ2dXaXnCAkJwcnJCQ8PDywtLUlISOCtt97i/fffJzQ0FFdXVw4dOqRRvxagX79+REREEB4eTvPmzbl06VKpXafBwcEsX76c2NhYmjZtSps2bYiLi8Pe3h54uDt5165d1KpViy5dutC0aVPmzJmjlJSYO3cuZmZmtGrVCn9/f3x9fXF3d3+ie2hgYMDOnTu5ceMGLVq0oHfv3rRv357FixcrbVasWMHNmzdxd3dn4MCBhIWFUatWLY1xYmJi2L17N7a2tri5uQHg6+vLtm3b2LVrFy1atMDT05N58+ZRr169cuMxNzenR48erFmzRuP81KlTcXNzY9q0aeTm5uLm5oabmxvHjh0DHu5Q/u9//4uXlxeurq4sW7aMuXPnary8rqCggPT0dI1awOHh4bz33nsMHTqUFi1akJuby44dOzRKWnzzzTfY2dk91U5zIYQQQgghhBDiZaAqflyhTCGEeEn5+Pjg6urK/PnzqzoU8YydOnWKN998k4yMDI16z1XF09OTsLAw3nnnnUr3ycnJwcTEhNu3b2u8bFAIIYQQQgghhHgeKvtzqOwQFkII8dJxcXHho48+4ueff67qUPjjjz/o2bMn/fv3r+pQhBBCCCGEEEKIpyY1hIUQQryUgoKCqjoEACwsLAgPD6/qMIQQQgghhBBCiGdCdggLIV5Z8fHx/7pyEfHx8ahUKm7duvVU46jV6hdy73x8fBg9enSl2j6rtalUKrZs2QJAZmYmKpVKeQGdEEIIIYQQQgjxbyc7hIUQ4l8oKSmJGjVqKMcqlYrNmzfTvXv3qgvqObC1tSU7OxsLC4uqDkUIIYQQQgghhHgpSEJYCCH+hSwtLas6hBdCS0sLa2vrqg5DPAfqid9VdQhCvJIy53St6hCEEEIIIUQVk5IRQgjxAvn4+BAaGkpoaCgmJiZYWFgQERFBcXExAKtXr8bDwwMjIyOsra155513uHbtWrnjxcXFYWpqyrZt23BycsLAwIDevXuTl5fHypUrUavVmJmZERYWRmFhodLv0ZIRarUagB49eqBSqZRjgKVLl9KgQQN0dHRwcnJi9erVyrXBgwfj5+enEU9BQQG1atVixYoVZcabn5/PhAkTsLW1RVdXl4YNG5Zqe/z4cTw8PDAwMKBVq1akp6drXK8opr/6a8mIkrIUe/furXCOb775Bnd3d/T09Khfvz5RUVE8ePCg3HmEEEIIIYQQQohXhSSEhRDiBVu5ciXa2tocPXqUBQsWMHfuXJYvXw48TKjOmDGDlJQUtmzZQmZm5mNfrpaXl8fChQtZv349O3bsID4+nh49erB9+3a2b9/O6tWrWbZsGV999VWZ/ZOSkgCIjY0lOztbOd68eTOjRo1i7NixnDlzhmHDhjFo0CD27dsHQHBwMDt27CA7O1sZa9u2beTl5dGvX78y5woICGDdunUsXLiQtLQ0li1bhqGhoUabyZMnExMTw7Fjx9DW1mbw4MHKtcfFVFkVzXHgwAECAgIYNWoUqampLFu2jLi4OD788MMKx8zPzycnJ0fjI4QQQgghhBBCvGykZIQQQrxgtra2zJs3D5VKhZOTE6dPn2bevHmEhIRoJCbr16/PwoULadGiBbm5uaUSpyUKCgqUXbMAvXv3ZvXq1Vy9ehVDQ0MaN25M27Zt2bdvX5mJ2pLyEaamphrlFaKjowkKCmLEiBEAjBkzhiNHjhAdHU3btm1p1aqVskM3PDwceJhU7tOnT5mxnj9/ni+//JLdu3fToUMHZY1/9eGHH9KmTRsAJk6cSNeuXbl37x56enqPjamyKpojKiqKiRMnEhgYqMQ4Y8YMwsPDmTZtWrljzp49m6ioqErHIIQQQgghhBBCVAXZISyEEC+Yp6cnKpVKOfby8uLChQsUFhZy/Phx/P39sbOzw8jISElaZmVllTuegYGBkgwGsLKyQq1WayRlraysKiw9UZa0tDS8vb01znl7e5OWlqYcBwcHExsbC8DVq1f5/vvvNZLaj0pOTkZLS0tZU3lcXFyUr21sbACU2CsTU2VUNEdKSgrTp0/H0NBQ+YSEhJCdnU1eXl65Y06aNInbt28rn8uXLz9RTEIIIYQQQgghxIsgO4SFEOIlce/ePXx9ffH19WXNmjVYWlqSlZWFr68v9+/fL7df9erVNY5VKlWZ54qKip55zAEBAUycOJHDhw9z6NAh7O3tad26dZlt9fX1KzXmo7GXJM6fdewVzZGbm0tUVBQ9e/Ys1U9PT6/cMXV1ddHV1X2mcQohhBBCCCGEEM+a7BAWQogXLDExUeP4yJEjODg4cO7cOa5fv86cOXNo3bo1jRo1euJdvX9X9erVNV46B+Ds7ExCQoLGuYSEBBo3bqwcm5ub0717d2JjY4mLi2PQoEHlztG0aVOKiorYv3//346zMjE9LXd3d9LT02nYsGGpT7Vq8s+mEEIIIYQQQohXm+wQFkKIFywrK4sxY8YwbNgwTpw4waJFi4iJicHOzg4dHR0WLVrE8OHDOXPmDDNmzHghManVavbu3Yu3tze6urqYmZkxfvx4+vbti5ubGx06dODbb79l06ZN7NmzR6NvcHAwfn5+FBYWKnV3y5sjMDCQwYMHs3DhQpo1a8alS5e4du0affv2rVSclY3paUydOhU/Pz/s7Ozo3bs31apVIyUlhTNnzjBz5sxnNo94OplzulZ1CEIIIYQQQgjxSpKtTkII8YIFBARw9+5dWrZsyciRIxk1ahRDhw7F0tKSuLg4Nm7cSOPGjZkzZw7R0dEvJKaYmBh2796Nra0tbm5uAHTv3p0FCxYQHR1NkyZNWLZsGbGxsfj4+Gj07dChAzY2Nvj6+lK7du0K51m6dCm9e/dmxIgRNGrUiJCQEO7cuVPpOCsb09Pw9fVl27Zt7Nq1ixYtWuDp6cm8efOoV6/eM5tDCCGEEEIIIYSoKqri4uLiqg5CCCH+LXx8fHB1dWX+/PlVHcozk5ubS506dYiNjS2z7u6/VU5ODiYmJty+fRtjY+OqDkcIIYQQQgghxD9cZX8OlZIRQggh/paioiL++OMPYmJiMDU15a233qrqkIQQQgghhBBCCPEYkhAWQgjxt2RlZWFvb0/dunWJi4tDW1v+SRFCCCGEEEIIIV52UkNYCPGPFR8fj0ql4tatW081jlqtfmYlHuLj48sdy8fHh9GjRz+TeZ5GXFwcpqamj21nb2/P5s2buXz5Mu3bt3+uMb3xxhusXbv2uc5Rnk8//RR/f/8qmVsIIYQQQgghhHjWJCEshBCPkZSUxNChQ5VjlUrFli1bqi6g56xfv36cP39eOY6MjMTV1bVUu+zsbDp37vzc49m6dStXr17l7bff1jh/8uRJ+vTpg5WVFXp6ejg4OBASEqIRe1hYGM2bN0dXV7fMNQAUFxcTHR2No6Mjurq61KlThw8//FC5PnjwYE6cOMGBAweey/qEEEIIIYQQQogXSf6+VwghHsPS0rKqQ3gm7t+/j46OzmPb6evro6+v/9h21tbWzyKsx1q4cCGDBg2iWrX/+x3mtm3b6NWrF76+vqxZs4YGDRpw7do1Nm7cSEREBBs2bFDaDh48mMTERE6dOlXm+KNGjWLXrl1ER0fTtGlTbty4wY0bN5TrOjo6vPPOOyxcuJDWrVs/v4UKIcQLoJ74XVWH8Exkzula1SEIIYQQQryyZIewEOKl5OPjQ2hoKKGhoZiYmGBhYUFERATFxcVKm9WrV+Ph4YGRkRHW1ta88847XLt2rdwxS0ohbNu2DScnJwwMDOjduzd5eXmsXLkStVqNmZkZYWFhFBYWKv0eLRmhVqsB6NGjByqVSjkGWLp0KQ0aNEBHRwcnJydWr16tXBs8eDB+fn4a8RQUFFCrVi1WrFhRZrz5+flMmDABW1tbdHV1adiwodK2sLCQIUOGYG9vj76+Pk5OTixYsECjf1BQEN27d+fDDz+kdu3aODk5kZmZiUqlYtOmTbRt2xYDAwOaNWvG4cOHS92nkq+joqJISUlBpVKhUqmIi4sDNHdKV2ZcgIMHD9K6dWv09fWxtbUlLCyMO3fulPvMfv/9d3744QeNkg15eXkMGjSILl26sHXrVjp06IC9vT2vv/460dHRLFu2TGm7cOFCRo4cSf369cscPy0tjaVLl/LNN9/w1ltvYW9vT/PmzXnzzTc12vn7+7N161bu3r1bbqxCCCGEEEIIIcSrQBLCQoiX1sqVK9HW1ubo0aMsWLCAuXPnsnz5cuV6QUEBM2bMICUlhS1btpCZmUlQUFCFY+bl5bFw4ULWr1/Pjh07iI+Pp0ePHmzfvp3t27ezevVqli1bxldffVVm/6SkJABiY2PJzs5Wjjdv3syoUaMYO3YsZ86cYdiwYQwaNIh9+/YBEBwczI4dO8jOzlbG2rZtG3l5efTr16/MuQICAli3bh0LFy4kLS2NZcuWYWhoCEBRURF169Zl48aNpKamMnXqVD744AO+/PJLjTH27t1Leno6u3fvZtu2bcr5yZMnM27cOJKTk3F0dKR///48ePCgVAz9+vVj7NixNGnShOzsbLKzs8uN93HjZmRk0KlTJ3r16sWpU6fYsGEDBw8eJDQ0tNzxDh48iIGBAc7Ozsq5nTt38scffxAeHl5mn8rUPy7x7bffUr9+fbZt24a9vT1qtZrg4GCNHcIAHh4ePHjwgMTExHLHys/PJycnR+MjhBBCCCGEEEK8bKRkhBDipWVra8u8efNQqVQ4OTlx+vRp5s2bR0hICPBw122J+vXrs3DhQlq0aEFubq6SOP2rgoICZScvQO/evVm9ejVXr17F0NCQxo0b07ZtW/bt21dm4rOkfISpqalGyYTo6GiCgoIYMWIEAGPGjOHIkSNER0fTtm1bWrVqpewaLklkxsbG0qdPnzJjPX/+PF9++SW7d++mQ4cOyhpLVK9enaioKOXY3t6ew4cP8+WXX9K3b1/lfI0aNVi+fLlSKiIzMxOAcePG0bXrwz+3jYqKokmTJly8eJFGjRppxKGvr4+hoSHa2tqVKhFR0bizZ89mwIAByovzHBwcWLhwIW3atGHp0qXo6emVGu/SpUtYWVlplIu4cOECQKlY/46ffvqJS5cusXHjRlatWkVhYSHvv/8+vXv35ocfflDaGRgYYGJiwqVLl8oda/bs2RrPRAghhBBCCCGEeBnJDmEhxEvL09MTlUqlHHt5eXHhwgWlnMPx48fx9/fHzs4OIyMj2rRpA0BWVla5YxoYGCjJYAArKyvUarVGUtbKyqrC0hNlSUtLw9vbW+Oct7c3aWlpynFwcDCxsbEAXL16le+//14jqf2o5ORktLS0lDWV5b///S/NmzfH0tISQ0NDPvvss1Jrb9q0aZl1g11cXJSvbWxsAJ54zWWpaNyUlBTi4uIwNDRUPr6+vhQVFfHzzz+XOd7du3dLJYofLRvytIqKisjPz2fVqlW0bt0aHx8fVqxYwb59+0hPT9doq6+vT15eXrljTZo0idu3byufy5cvP7M4hRBCCCGEEEKIZ0USwkKIV9KdO3fw9fXF2NiYNWvWkJSUxObNm4GHL08rT/Xq1TWOVSpVmeeKioqeecwBAQH89NNPHD58mP/973/Y29uX+5Kyx73Ubf369YwbN44hQ4awa9cukpOTGTRoUKm116hRo8z+j665JOn+LNZc0bi5ubkMGzaM5ORk5ZOSksKFCxc0kvSPsrCw4ObNmxrnHB0dATh37txTx2tjY4O2trYyJqCUp/hrcv3GjRsVvmBQV1cXY2NjjY8QQgghhBBCCPGykZIRQoiX1l/rtR45cgQHBwe0tLQ4d+4c169fZ86cOdja2gJw7NixFxJX9erVNV46Bw+TiAkJCQQGBirnEhISaNy4sXJsbm5O9+7diY2N5fDhwwwaNKjcOZo2bUpRURH79+9XSkY8KiEhgVatWiklKuBhjd7nQUdHp9R6/w53d3dSU1Np2LBhpfu4ublx5coVbt68iZmZGQAdO3bEwsKCjz/+WPklwKNu3bpV6TrC3t7ePHjwgIyMDCUpff78eQDq1auntMvIyODevXu4ublVOnYhhBBCCCGEEOJlJAlhIcRLKysrizFjxjBs2DBOnDjBokWLiImJAcDOzg4dHR0WLVrE8OHDOXPmDDNmzHghcanVavbu3Yu3tze6urqYmZkxfvx4+vbti5ubGx06dODbb79l06ZN7NmzR6NvcHAwfn5+FBYWaiSPy5ojMDCQwYMHs3DhQpo1a8alS5e4du0affv2xcHBgVWrVrFz507s7e1ZvXo1SUlJ2NvbP5f1/vzzzyQnJ1O3bl2MjIzQ1dV94nEmTJiAp6cnoaGhBAcHU6NGDVJTU9m9ezeLFy8us4+bmxsWFhYkJCTg5+cH/F9d5D59+vDWW28RFhZGw4YN+eOPP/jyyy/Jyspi/fr1AFy8eJHc3FyuXLnC3bt3SU5OBqBx48bo6OjQoUMH3N3dGTx4MPPnz6eoqIiRI0fy5ptvauwaPnDgAPXr1y93J7MQQrwqMud0reoQhBBCCCFEFZOSEUKIl1ZAQAB3796lZcuWjBw5klGjRjF06FDg4cvd4uLi2LhxI40bN2bOnDlER0e/kLhiYmLYvXs3tra2yo7R7t27s2DBAqKjo2nSpAnLli0jNjYWHx8fjb4dOnTAxsYGX19fateuXeE8S5cupXfv3owYMYJGjRoREhLCnTt3ABg2bBg9e/akX79+vP7661y/fl1jt/Cz1KtXLzp16kTbtm2xtLRk3bp1f2scFxcX9u/fz/nz52ndujVubm5MnTq1wvugpaXFoEGDWLNmjcb5bt26cejQIapXr84777xDo0aN6N+/P7dv32bmzJlKu+DgYNzc3Fi2bBnnz5/Hzc0NNzc3fvvtNwCqVavGt99+i4WFBW+88QZdu3bF2dlZSSiXWLdunfIyQyGEEEIIIYQQ4lWmKn6Wb+cRQohnxMfHB1dXV+bPn1/VoTxTubm51KlTh9jYWHr27FnV4bwSrly5QpMmTThx4oRGGYcX5ezZs7Rr147z589jYmJS6X45OTmYmJhw+/ZtqScshBBCCCGEEOK5q+zPobJDWAghXoCioiKuXbvGjBkzMDU15a233qrqkF4Z1tbWrFixotRL3l6U7OxsVq1a9UTJYCGEEEIIIYQQ4mUlNYSFEOIFyMrKwt7enrp16xIXF4e2tvzv90l07969yuYu66V+QgghhBBCCCHEq0p2CAvxgsTHx6NSqbh169ZTjaNWq19IGQUfHx9Gjx793MaPjIzE1dW13Ovx8fEkJyc/1xheJLVaTXFxMZcvX6Z9+/ZltvnrPQkKCnomidD79+/TsGFDDh06VG6bzMxMVCqV8tI18X9SU1OpW7euUr9ZCCGEEEIIIYR4lUlCWIhXTFJSkvJiNQCVSsWWLVuqLqDnaNOmTcyYMaOqw6gyCxYsIC4u7qnH+fTTT7G3t6dVq1ZP1C8sLIzmzZujq6tbbvJ+586deHp6YmRkhKWlJb169SIzM7PCcTdt2kTHjh0xNzd/bBLa3t6ePXv2cO/ePYKCgmjatCna2trlJsrz8/OZPHky9erVQ1dXF7VazRdffFFhPPfu3WPkyJGYm5tjaGhIr169uHr1qnK9cePGeHp6Mnfu3ArHEUIIIYQQQgghXgXyN8tCvGIsLS2rOoQXpmbNmlUdQpV6FjVri4uLWbx4MdOnT/9b/QcPHkxiYiKnTp0qde3nn3+mW7dujBkzhjVr1nD79m3ef/99evbsyYkTJ8od886dO/znP/+hb9++hISElNvu1KlT3Lx5kzZt2nD//n309fUJCwvj66+/LrdP3759uXr1KitWrKBhw4ZkZ2dTVFRU4Rrff/99vvvuOzZu3IiJiQmhoaH07NmThIQEpc2gQYMICQlh0qRJUu5DCPFKU0/8rqpD+FfLnNO1qkMQQgghhJAdwkJUho+PD6GhoYSGhmJiYoKFhQUREREUFxcrbVavXo2HhwdGRkZYW1vzzjvvcO3atXLHjIuLw9TUlG3btuHk5ISBgQG9e/cmLy+PlStXolarMTMzIywsjMLCQqXfoyUj1Go1AD169EClUinHAEuXLqVBgwbo6Ojg5OTE6tWrlWuDBw/Gz89PI56CggJq1arFihUrKnVPUlJSaNu2LUZGRhgbG9O8eXOOHTumsbYtW7bg4OCAnp4evr6+XL58udQ4q1evRq1WY2Jiwttvv82ff/6pXPtr2Qq1Ws2sWbMYPHgwRkZG2NnZ8dlnn2mMd+jQIVxdXdHT08PDw4MtW7aU2oW6f/9+WrZsia6uLjY2NkycOJEHDx5ozPvee+8xevRozMzMsLKy4vPPP+fOnTsMGjQIIyMjGjZsyPfffw88TLo2bNiQ6OhojViSk5NRqVRcvHgRgFu3bhEcHIylpSXGxsa0a9eOlJSUcu/xX0tG+Pj4EBYWRnh4ODVr1sTa2prIyMhy+wMcP36cjIwMunbV/AH06NGjuLm5Kffp5MmTpfouXLiQkSNHUr9+/XLHLiwsZObMmTRo0AB3d3fGjRtHcnIyBQUF5cY0cOBApk6d+tjavN988w2dOnWievXq1KhRg6VLlxISEoK1tXWZ7Xfs2MH+/fvZvn07HTp0QK1W4+Xlhbe3d7lz3L59mxUrVjB37lzatWtH8+bNiY2N5dChQxw5ckRp9+abb3Ljxg32799fYcxCCCGEEEIIIcTLThLCQlTSypUr0dbW5ujRoyxYsIC5c+eyfPly5XpBQQEzZswgJSWFLVu2kJmZSVBQUIVj5uXlsXDhQtavX8+OHTuIj4+nR48ebN++ne3bt7N69WqWLVvGV199VWb/pKQkAGJjY8nOzlaON2/ezKhRoxg7dixnzpxh2LBhDBo0iH379gEQHBzMjh07yM7OVsbatm0beXl59OvXr1L3Y8CAAdStW5ekpCSOHz/OxIkTqV69usbaPvzwQ1atWkVCQgK3bt3i7bff1hgjIyODLVu2sG3bNrZt28b+/fuZM2dOhfPGxMQoCcwRI0bw7rvvkp6eDkBOTg7+/v40bdqUEydOMGPGDCZMmKDR/9dff6VLly60aNGClJQUli5dyooVK5g5c6ZGu5UrV2JhYcHRo0d57733ePfdd+nTpw+tWrXixIkTdOzYkYEDB5KXl4dKpWLw4MHExsZqjBEbG8sbb7xBw4YNAejTpw/Xrl3j+++/5/jx47i7u9O+fXtu3LhRqXteEleNGjVITEzk448/Zvr06ezevbvc9gcOHMDR0REjIyPlXG5uLn5+fjRu3Jjjx48TGRnJuHHjKh1DiebNm1OtWjViY2MpLCzk9u3brF69mg4dOijfCyW1iePj4594/K1bt9KtW7cnau/h4cHHH39MnTp1cHR0ZNy4cdy9e1dpU1LLu6SsxfHjxykoKNBITjdq1Ag7OzsOHz6snNPR0cHV1ZUDBw6UO39+fj45OTkaHyGEEEIIIYQQ4mUjCWEhKsnW1pZ58+bh5OTEgAEDeO+995g3b55yffDgwXTu3Jn69evj6enJwoUL+f7778nNzS13zIKCApYuXYqbmxtvvPEGvXv35uDBg6xYsYLGjRvj5+dH27ZtlUTuX5WUjzA1NcXa2lo5jo6OJigoiBEjRuDo6MiYMWPo2bOnsoO1VatWpXYNx8bG0qdPHwwNDSt1P7KysujQoQONGjXCwcGBPn360KxZM421LV68GC8vL5o3b87KlSs5dOgQR48eVdoUFRURFxfHa6+9RuvWrRk4cCB79+6tcN4uXbowYsQIGjZsyIQJE7CwsFDuz9q1a1GpVHz++ec0btyYzp07M378eI3+S5YswdbWlsWLF9OoUSO6d+9OVFQUMTExGqUFmjVrxpQpU3BwcGDSpEno6elhYWFBSEgIDg4OTJ06levXryulFIKCgkhPT1fWV1BQwNq1axk8eDAABw8e5OjRo2zcuBEPDw8cHByIjo7G1NS03IR/WVxcXJg2bRoODg4EBATg4eFR4T27dOkStWvX1ji3du1aioqKWLFiBU2aNMHPz6/UfaoMe3t7du3axQcffICuri6mpqb88ssvfPnll0qb6tWrKzvgn8Svv/7KqVOn6Ny5c6X7/PTTTxw8eJAzZ86wefNm5s+fz1dffcWIESOUNgYGBjg5OSkJ6ytXrqCjo4OpqanGWFZWVly5ckXjXO3atbl06VK588+ePRsTExPlY2trW+nYhRBCCCGEEEKIF0USwkJUkqenJyqVSjn28vLiwoULSjmH48eP4+/vj52dHUZGRrRp0wZ4mDgtj4GBAQ0aNFCOraysUKvVGklZKyurCktPlCUtLa3Un8l7e3uTlpamHAcHBys7Wq9evcr333+vJC8rY8yYMQQHB9OhQwfmzJlDRkaGxnVtbW1atGihHDdq1AhTU1ONGNRqtcbOVRsbm8eu1cXFRflapVJhbW2t9ElPT8fFxQU9PT2lTcuWLTX6p6Wl4eXlpfEsvb29yc3N5ZdffilzHi0tLczNzWnatKlyzsrKCkCZu3bt2nTt2lV5gdm3335Lfn4+ffr0AR6W2MjNzVVeXFby+fnnn0vdu8quHx5/z+7evatxP0ruwV/vk5eXV6VjKHHlyhVCQkIIDAwkKSmJ/fv3o6OjQ+/evZVyKnXq1OHcuXOlnsPjbN26lf/85z+lErUVKSoqQqVSsWbNGlq2bEmXLl2YO3cuK1euVHYJt2zZknPnzlGnTp0nigdAX1+fvLy8cq9PmjSJ27dvK5+ySqQIIYQQQgghhBBVTRLCQjwDd+7cwdfXF2NjY9asWUNSUhKbN28G4P79++X2e7TEAjxMcJZ17nEvxfo7AgIC+Omnnzh8+DD/+9//sLe3p3Xr1pXuHxkZydmzZ+natSs//PADjRs3VtZcWX9nrS/q/jzu2ZQklB+dOzg4mPXr13P37l1iY2Pp16+fsjM2NzcXGxsbkpOTNT7p6elPtDv3SddvYWHBzZs3Kz3+k/jvf/+LiYkJH3/8sbLL/X//+x979+4lMTHxqcbeunUrb7311hP1sbGxoU6dOhov43N2dqa4uFgj2f8oa2tr7t+/z61btzTOX716tVSt4hs3blT4UkddXV2MjY01PkIIIYQQQgghxMtGXpUuRCX9NcF15MgRHBwc0NLS4ty5c1y/fp05c+YofyZe8oK156169eoaL52Dh0mwhIQEAgMDlXMJCQk0btxYOTY3N6d79+7ExsZy+PBhBg0a9MRzOzo64ujoyPvvv0///v2JjY2lR48eADx48IBjx44pO0PT09O5desWzs7Of2eZleLk5MT//vc/8vPz0dXVBf6vznIJZ2dnvv76a4qLi5WkbkJCAkZGRtStW/ep5u/SpYvy8rMdO3bw448/Ktfc3d25cuUK2traGi//e97c3NxYunSpxnqdnZ1ZvXo19+7dU3YJP/oCtcrKy8ujWjXN3ytqaWkBPFWSPjc3l3379rF06dIn6uft7c3GjRvJzc1VdtmfP3+eatWqlftsmzdvTvXq1dm7dy+9evUCHn6vZmVlldo1febMGXr37v03ViSEEC+PzDldH99ICCGEEEL8o8kOYSEqKSsrizFjxpCens66detYtGgRo0aNAsDOzg4dHR0WLVrETz/9xNatW5kxY8YLiUutVrN3716uXLmi7AQdP348cXFxLF26lAsXLjB37lw2bdpU6sVhwcHBrFy5krS0NI3k8ePcvXuX0NBQ4uPjuXTpEgkJCSQlJWkke6tXr857771HYmIix48fJygoCE9PzycuHfAk3nnnHYqKihg6dChpaWns3LlTqZtckgwdMWIEly9f5r333uPcuXN88803TJs2jTFjxpRKbj4pLS0tgoKCmDRpEg4ODhoJxQ4dOuDl5UX37t3ZtWsXmZmZHDp0iMmTJz/XXx60bduW3Nxczp49q5x75513UKlUhISEkJqayvbt25X79KiLFy+SnJzMlStXuHv3rrKruWTXe9euXUlKSmL69OlcuHCBEydOMGjQIOrVq4ebmxvwsBZwo0aNNGpH37hxg+TkZFJTU4GHCdiSeQB27NiBo6NjqcR5amoqycnJ3Lhxg9u3byvxPLouc3NzBg0aRGpqKj/++CPjx49n8ODB6OvrA3D06FEaNWrEr7/+CoCJiQlDhgxhzJgx7Nu3j+PHjzNo0CC8vLzw9PRUxs7MzOTXX3/VePmcEEIIIYQQQgjxKpKEsBCVFBAQwN27d2nZsiUjR45k1KhRDB06FHj4cre4uDg2btxI48aNmTNnTpkJtuchJiaG3bt3Y2trqyThunfvzoIFC4iOjqZJkyYsW7aM2NhYfHx8NPp26NABGxsbfH19S714rCJaWlpcv36dgIAAHB0d6du3L507dyYqKkppY2BgwIQJE3jnnXfw9vbG0NCQDRs2PJM1l8fY2Jhvv/2W5ORkXF1dmTx5MlOnTgVQdsLWqVOH7du3c/ToUZo1a8bw4cMZMmQIU6ZMeSYxDBkyhPv375faca1Sqdi+fTtvvPEGgwYNwtHRkbfffptLly4p9YifB3Nzc3r06MGaNWuUc4aGhnz77becPn0aNzc3Jk+ezEcffVSqb3BwMG5ubixbtozz58/j5uaGm5sbv/32GwDt2rVj7dq1bNmyBTc3Nzp16oSuri47duxQErAFBQWkp6dr1N7dunUrbm5udO36cJfa22+/jZubG59++ikA33zzTZnlIrp06YKbmxvffvst8fHxSjyPrmv37t3cunULDw8PBgwYgL+/PwsXLlTa5OXlkZ6eTkFBgXJu3rx5+Pn50atXL9544w2sra3ZtGmTxtzr1q2jY8eO1KtXr/I3XwghhBBCCCGEeAmpikve/COEKJePjw+urq7Mnz+/qkN5pnJzc6lTpw6xsbH07NnzmY0bFxfH6NGjS9VlrQpr1qxh0KBB3L59W0lSPk8HDhygffv2XL58+bkmep/EqVOnePPNN8nIyNB4YeHL6MGDB1hZWfH9998/193kT+L+/fs4ODiwdu3aUi9rrEhOTg4mJibcvn1b6gkLIYQQQgghhHjuKvtzqNQQFuJfqKioiD/++IOYmBhMTU2f+OVdL7NVq1ZRv3596tSpQ0pKChMmTKBv377PPRmcn5/P77//TmRkJH369HlpksEALi4ufPTRR/z88880bdq0qsOp0I0bN3j//fdp0aJFVYeiyMrK4oMPPniiZLAQQgghhBBCCPGykpIRQvwLZWVlYWVlxdq1a/niiy/Q1v7n/G7oypUr/L//9/9wdnbm/fffp0+fPnz22WcAxMfHo1KpnnrnslqtLrVbfN26ddSrV49bt27x8ccfP9X4JXx8fBg9evQzGSsoKEhJBkdGRuLq6vpMxn1af72XtWrVYsqUKUrN5+c1T1lUKhVbtmwpdb5hw4YMGzbsmcYjhBBCCCGEEEJUlX9OFkiI5yg+Pr6qQ3im1Go1z7NaTFBQEEFBQc9t/IqEh4cTHh7+XOdISkqiRo0ayrFKpWLz5s0UFhY+13n/jpLYunfvXtWhVKm/PjMhhBBCCCGEEOLfShLCQgjxhCwtLas6BPGE5JkJIcRD6onfVXUIAsic07WqQxBCCCHEv5iUjBBCvBJ8fHwIDQ0lNDQUExMTLCwsiIiI0NjpvHr1ajw8PDAyMsLa2pp33nmHa9eulTtmXFwcpqambNu2DScnJwwMDOjduzd5eXmsXLkStVqNmZkZYWFhGrt/Hy0/oFarAejRowcqlUo5Bli6dCkNGjRAR0cHJycnVq9erVwbPHgwfn5+GvEUFBRQq1YtVqxYUen78s033+Du7o6enh7169cnKiqKBw8ePDa2kvulVqsxMTHh7bff5s8//1Su7dixg//85z+Ymppibm6On58fGRkZyvXMzExUKhWbNm2ibdu2GBgY0KxZMw4fPqwxx9dff02TJk3Q1dVFrVYTExNT4Xrmzp1L06ZNqVGjBra2towYMYLc3Fzl+rN4ZgAXLlzgjTfeQE9Pj8aNG7N79+5SsVy+fJm+fftiampKzZo16datG5mZmRXGL4QQQgghhBBCvOwkISyEeGWsXLkSbW1tjh49yoIFC5g7dy7Lly9XrhcUFDBjxgxSUlLYsmULmZmZjy1dkZeXx8KFC1m/fj07duwgPj6eHj16sH37drZv387q1atZtmwZX331VZn9k5KSAIiNjSU7O1s53rx5M6NGjWLs2LGcOXOGYcOGMWjQIPbt2wdAcHAwO3bsIDs7Wxlr27Zt5OXl0a9fv0rdjwMHDhAQEMCoUaNITU1l2bJlxMXF8eGHH1YYG0BGRgZbtmxh27ZtbNu2jf379zNnzhzl+p07dxgzZgzHjh1j7969VKtWjR49elBUVKQRw+TJkxk3bhzJyck4OjrSv39/JSF9/Phx+vbty9tvv83p06eJjIwkIiKCuLi4ctdUrVo1Fi5cyNmzZ1m5ciU//PBDqRIgT/vMioqK6NmzJzo6OiQmJvLpp58yYcIEjTYFBQX4+vpiZGTEgQMHSEhIwNDQkE6dOnH//v3HPBkhhBBCCCGEEOLlJSUjhBCvDFtbW+bNm4dKpcLJyYnTp08zb948QkJCgIe7bkvUr1+fhQsX0qJFC3JzczE0NCxzzIKCAmUnL0Dv3r1ZvXo1V69exdDQkMaNG9O2bVv27dtXZqK2pBSBqakp1tbWyvno6GiCgoIYMWIEAGPGjOHIkSNER0fTtm1bWrVqpewaLkl4xsbG0qdPn3Jj/auoqCgmTpxIYGCgsuYZM2YQHh7OtGnTyo0NHiZF4+LiMDIyAmDgwIHs3btXSSb36tVLo/0XX3yBpaUlqampvPbaa8r5cePG0bVrVyWeJk2acPHiRRo1asTcuXNp3749ERERADg6OpKamsonn3xSbqL+0ZfoqdVqZs6cyfDhw1myZIly/mmf2Z49ezh37hw7d+6kdu3aAMyaNYvOnTsrbTZs2EBRURHLly9XXnAXGxuLqakp8fHxdOzYsdS4+fn55OfnK8c5OTllrlEIIYQQQgghhKhKskNYCPHK8PT0VJJzAF5eXly4cEEpDXD8+HH8/f2xs7PDyMiINm3aAJCVlVXumAYGBkpiEcDKygq1Wq2RlLWysqqw9ERZ0tLS8Pb21jjn7e1NWlqachwcHExsbCwAV69e5fvvv9dIaj9OSkoK06dPx9DQUPmEhISQnZ1NXl5ehX3VarWSDAawsbHRWOOFCxfo378/9evXx9jYWCk38dd76eLiojEGoIxT3j149Jn91Z49e2jfvj116tTByMiIgQMHcv36dY31PO0zS0tLw9bWVkkGw8PvpUelpKRw8eJFjIyMlHtbs2ZN7t27p1E641GzZ8/GxMRE+dja2pbZTgghhBBCCCGEqEqyQ1gI8Y9w584dfH198fX1Zc2aNVhaWpKVlYWvr2+Ff+JfvXp1jWOVSlXmub+WSngWAgICmDhxIocPH+bQoUPY29vTunXrSvfPzc0lKiqKnj17lrqmp6dXYd/HrdHf35969erx+eefU7t2bYqKinjttddK3ctHxylJ1v/de5WZmYmfnx/vvvsuH374ITVr1uTgwYMMGTKE+/fvY2BgUG7sz/qZ5ebm0rx5c9asWVPqWnkvqJs0aRJjxoxRjnNyciQpLIQQQgghhBDipSMJYSHEKyMxMVHj+MiRIzg4OKClpcW5c+e4fv06c+bMUZJwx44deyFxVa9evdSOV2dnZxISEpRyDgAJCQk0btxYOTY3N6d79+7ExsZy+PBhBg0a9ETzuru7k56eTsOGDZ8otse5fv066enpfP7550qC+uDBg080BvzfPXhUQkICjo6OaGlplWp//PhxioqKiImJoVq1h3/A8uWXXz7xvJWJ6/Lly2RnZyu7mo8cOaLRxt3dnQ0bNlCrVi2MjY0rNa6uri66urrPPF4hhBBCCCGEEOJZkoSwEOKVkZWVxZgxYxg2bBgnTpxg0aJFxMTEAGBnZ4eOjg6LFi1i+PDhnDlzhhkzZryQuNRqNXv37sXb2xtdXV3MzMwYP348ffv2xc3NjQ4dOvDtt9+yadMm9uzZo9E3ODgYPz8/CgsLNZLHlTF16lT8/Pyws7Ojd+/eVKtWjZSUFM6cOcPMmTPLje1xzMzMMDc357PPPsPGxoasrCwmTpz4RLEBjB07lhYtWjBjxgz69evH4cOHWbx4sUY94Ec1bNiQgoICFi1ahL+/PwkJCXz66adPPO/jdOjQAUdHRwIDA/nkk0/Iyclh8uTJGm0GDBjAJ598Qrdu3Zg+fTp169bl0qVLbNq0ifDwcOrWrfvM4xJCiBchc07Xqg5BCCGEEEJUMakhLIR4ZQQEBHD37l1atmzJyJEjGTVqFEOHDgUe/hl/XFwcGzdupHHjxsyZM4fo6OgXEldMTAy7d+/G1tYWNzc3ALp3786CBQuIjo6mSZMmLFu2jNjYWHx8fDT6dujQARsbG3x9fTVq2laGr68v27ZtY9euXbRo0QJPT0/mzZtHvXr1KoztcapVq8b69es5fvw4r732Gu+//z6ffPLJE8UGD3fZfvnll6xfv57XXnuNqVOnMn369HJfKNesWTPmzp3LRx99xGuvvcaaNWuYPXv2E8/7ONWqVWPz5s3K91JwcLDyMr0SBgYG/Pjjj9jZ2dGzZ0+cnZ0ZMmQI9+7dq/SOYSGEEEIIIYQQ4mWkKi4uLq7qIIQQ4nF8fHxwdXVl/vz5VR3KM5Wbm0udOnWIjY0tsxaweHXl5ORgYmLC7du3JYkshBBCCCGEEOK5q+zPoVIyQgghqkBRURF//PEHMTExmJqa8tZbb1V1SEIIIYQQQgghhPgXkISwEEJUgaysLOzt7albty5xcXFoa8v/joUQQgghhBBCCPH8SQ1hUaXi4+NRqVTcunXrqcZRq9UvpJSAj48Po0ePfqI+kZGRuLq6KsdBQUF07979qcasjOc17pN63LPJzMxEpVKRnJxc4Tjx8fH/mHIRarWaLVu2UFxczOXLl+nQoQNbtmx56nH37t2Ls7MzhYWF5bb56/ej+D9vv/228pJCIYQQQgghhBDin0oSwuIfISkpSXm5GIBKpXomCbbnYcGCBcTFxVV1GC8NW1tbsrOzee2116o6lCqTnZ1N586dn3qc8PBwpkyZgpaWVqX7nD17ll69eqFWq1GpVGUm3QsLC4mIiMDe3h59fX0aNGjAjBkzeFwJ+qysLLp27YqBgQG1atVi/PjxPHjwoFS7lStX8p///AeATZs20bFjR8zNzSv8RcHhw4dp164dNWrUwNjYmDfeeIO7d+9WGE98fDzu7u7o6urSsGHDUv8dTpkyhQ8//JDbt2+X6hsZGUl8fHyF4wshhBBCCCHE/8fenUdVVf2P/39ekUlGBRUnuIKIQoo4oGKK5gAOhHOmCaiYlYRDDvjO2UxNnNAyK7+AU2o5kZqpJCZkzjhhDiRihpoTiCginN8f/jgfr1wQnLB6Pda6a3nO2Xuf19n3UosX+762EP8E8h1l8a9QsWLF0g6h2KysrEo7BADu37+PkZFRaYeBgYEBdnZ2pR1GqXoezx8fH09ycjI9evQoUb+srCwcHR3p1asXI0aM0Ntm1qxZLF68mOjoaNzc3Dh48CADBgzAysqK0NBQvX1yc3Pp3LkzdnZ2/Prrr6SlpREQEIChoSGffvqpTttNmzapNZTv3LnD66+/Tu/evRk8eLDesffu3Yuvry/jxo1j4cKFlC1blqNHj1KmTOF/4zx//jydO3fmvffeY+XKlcTGxhIcHEyVKlXw8fEB4LXXXsPJyYkVK1YwdOhQcnJyiIiI0HnGq1evsmHDBoYMGVL4pAohxCtMG7altEMQz0HKzM6lHYIQQggh/sFkhbB4aq1btyYkJISQkBCsrKywtbVlwoQJOqsGly9fTuPGjbGwsMDOzo6+ffty9erVQseMiorC2tqazZs34+LiQrly5ejZsydZWVlER0ej1WopX748oaGhOl+Lf7QsgVarBaBbt25oNBr1GGDx4sU4OTlhZGSEi4sLy5cvV68NHDiQLl266MSTk5NDpUqVWLp0abHnZebMmVSuXBkLCwsGDRrEvXv3dK4/XjICHm4wNmbMGCpUqICdnR2TJ08uUVx37twhICAAc3NzqlSpovdr71qtlmnTphEQEIClpaW6onrdunW4ublhbGyMVqst0PeLL77A2dkZExMTKleuTM+ePdVrxfkMwMOk48CBA7GwsMDe3p6vvvpKvfZ4yYj8MiKxsbE0btyYcuXK4eXlxenTp3XG/OSTT6hUqRIWFhYEBwcTFhamUwohLy+PqVOnUr16dYyNjWnQoAHbtm0rcN+1a9fSsmVLTE1NadKkCWfOnOHAgQM0btwYc3NzOnbsyN9//w3AL7/8gqGhIZcvX9aJZfjw4bRs2VI9jo+PV8esUaMGoaGh3Llzp8B7ku/RFe35ca1fv542bdpQrlw53N3d2bt3b6H9AVavXk379u0xMTHROf+kz2OTJk2YPXs2ffr0wdjYWO/Yv/76K/7+/nTu3BmtVkvPnj3p0KED+/fvLzSe7du3k5SUxIoVK2jQoAEdO3Zk2rRpfP7559y/f19td+/ePbZv364mhPv378/EiRNp165doWOPGDGC0NBQwsLCcHNzw8XFhd69excaP8CXX35JzZo1mTNnDnXr1iUkJISePXsyb948nXZ+fn6sXr0aePi+ALzxxhucPHmSDRs24OfnR/Xq1Qu9jxBCCCGEEEII8aqThLB4JtHR0ZQtW5b9+/ezYMEC5s6dyzfffKNez8nJYdq0aRw9epSNGzeSkpJCUFBQkWNmZWURERHB6tWr2bZtG3FxcXTr1o2tW7eydetWli9fzpIlS/j+++/19j9w4AAAkZGRpKWlqccbNmxg2LBhfPTRR5w4cYIhQ4YwYMAAdu3aBUBwcDDbtm0jLS1NHWvz5s1kZWXx1ltvFWs+1q5dy+TJk/n00085ePAgVapU4Ysvvnhiv+joaMzMzNi3bx+fffYZU6dOZceOHcWOa/To0ezevZtNmzaxfft24uLiOHz4cIH7hIeH4+7uzpEjR5gwYQKHDh2id+/e9OnTh+PHjzN58mQmTJigfpX+4MGDhIaGMnXqVE6fPs22bdto1apVgdiL+gwAzJkzh8aNG3PkyBE++OAD3n///QIJ3sd9/PHHzJkzh4MHD1K2bFkGDhyoXlu5ciXTp09n1qxZHDp0CHt7exYvXqzTf8GCBcyZM4fw8HCOHTuGj48Pb775JmfPntVpN2nSJMaPH8/hw4cpW7Ysffv2ZcyYMSxYsIA9e/Zw7tw5Jk6cCECrVq1wdHTU+UNCTk4OK1euVONLTk7G19eXHj16cOzYMdasWUN8fDwhISFFPq++5x81ahSJiYnUrl2bt99+W2+5hXx79uyhcePGOuee9vP4OC8vL2JjYzlz5gwAR48eJT4+XqfMxeTJk3X++LJ3717q1atH5cqV1XM+Pj5kZGRw8uRJ9VxsbCzVqlWjTp06xYrl6tWr7Nu3j0qVKuHl5UXlypXx9vYmPj5ep13r1q11/luzd+/eAklmHx+fAol2T09P9u/fT3Z2NmXLluWjjz4iIiKCrVu3sn37drZv307nzrIqSwghhBBCCCHEP5eUjBDPpEaNGsybNw+NRoOLiwvHjx9n3rx56le9H03iOTo6EhERQZMmTcjMzMTc3FzvmDk5OepKXoCePXuyfPlyrly5grm5Oa6urrRp04Zdu3bpTdTml4+wtrbW+Sp+eHg4QUFBfPDBBwCMHDmS3377jfDwcNq0aYOXl5e6anjMmDHAw6Ryr169Co31cfPnz2fQoEEMGjQIeLiKdefOnQVWZT6ufv36TJo0CQBnZ2cWLVpEbGws7du3f2JcmZmZLF26lBUrVtC2bVvgYZJW3yrGN954g48++kg97tevH23btmXChAkA1K5dm6SkJGbPnk1QUBCpqamYmZnRpUsXLCwscHBwwMPDQ2fMJ30GADp16qTO+9ixY5k3bx67du3CxcWl0DmZPn063t7eAISFhdG5c2fu3buHiYkJCxcuZNCgQQwYMACAiRMnsn37djIzM9X+4eHhjB07lj59+gAPyx7s2rWL+fPn8/nnn6vtRo0apZYMGDZsGG+//TaxsbG0aNECgEGDBunUmh00aBCRkZGMHj0agB9++IF79+7Ru3dvAGbMmEG/fv3UDf2cnZ2JiIjA29ubxYsXF1jBW5hRo0apiccpU6bg5ubGuXPnCk2cXrhwgapVq+qce9rP4+PCwsLIyMigTp06GBgYkJuby/Tp0+nXr5/axtbWVv2ZBbh8+bJOMhhQjx9dYf1ouYji+OOPP4CHCejw8HAaNGjAsmXLaNu2LSdOnMDZ2RkAe3t7qlSp8sR4MjIyuHv3LqampgBUrVqV+/fvc/nyZapXr86iRYv4/vvv6dSpE1WrVsXX15dJkybh6+tbILbs7Gyys7PV44yMjGI/lxBCCCGEEEII8bLICmHxTJo1a6Z+rRqgefPmnD17Vi3ncOjQIfz8/LC3t8fCwkJN8KWmphY6Zrly5XQSS5UrV0ar1eokZStXrlxk6Ql9Tp06pSb58rVo0YJTp06px8HBwURGRgJw5coVfvzxR52kdnHu0bRpU51zzZs3f2K/+vXr6xxXqVJF5/mKiis5OZn79+/r3LdChQp6k62PryAtbE7y38P27dvj4OCAo6Mj/fv3Z+XKlWRlZem0f9Jn4PHn02g02NnZPfH9e7RPfmIvv8/p06fx9PTUaf/ocUZGBn/99dcT3+/H75OfMKxXr57OuUdjDQoK4ty5c/z222/AwzInvXv3xszMDHi4ejYqKgpzc3P15ePjQ15eHufPny/ymYv7/PrcvXu3QLL5aT+Pj1u7di0rV65k1apVHD58mOjoaMLDw4mOjlbbhISEEBsbW6JxFUXhhx9+KFFCOC8vD0Bd4e/h4cG8efNwcXHh//2//6e2W7ZsGTNmzChRPICaGM7KyiIvL4+cnBxiY2Nxc3OjW7du6jcd9JkxYwZWVlbqq0aNGiW+vxBCCCGEEEII8aJJQli8MHfu3MHHxwdLS0tWrlzJgQMH2LBhA4BODdHHGRoa6hxrNBq95/ITQ89TQEAAf/zxB3v37mXFihXUrFlTpzbsi/Kk53teceUnLYvLwsKCw4cP8+2331KlShUmTpyIu7s7t27dKtE4T/P+PdonP+H8It5zffd5/Nyj961UqRJ+fn5ERkbq/aNBZmYmQ4YMITExUX0dPXqUs2fP6vyh42niKur5bW1tuXnzZrHHL4nRo0cTFhZGnz59qFevHv3792fEiBFFJlzt7Oy4cuWKzrn84/yV+/v37+fBgwd4eXkVO5b85Lirq6vO+bp16xb5h6bC4rG0tFSTwAA3btwAHn7TwNDQkFGjRulsvli5cmXee+89vfcYN24c6enp6uvixYvFfi4hhBBCCCGEEOJlkYSweCb79u3TOf7tt99wdnbGwMCA33//nevXrzNz5kxatmxJnTp1Sryq92kZGhrqrFCFhwmjhIQEnXMJCQk6iSUbGxu6du1KZGQkUVFRakmC4qpbt67eOXlWRcXl5OSEoaGhzn1v3ryp1nt9Urz65qR27doYGBgAULZsWdq1a8dnn33GsWPHSElJ4eeff1bbF/UZeFFcXFzU2tD5Hj22tLSkatWqT3y/n1ZwcDBr1qzhq6++wsnJSWclcsOGDUlKSqJWrVoFXo8mFp83Dw8PkpKSdM49r89jVlYWZcro/u/CwMCgyAR18+bNOX78uM7P/I4dO7C0tFTfg02bNtG5c+cSfVa0Wi1Vq1YtUIP6zJkzODg4FBnP4yuYd+zYUWDF9IkTJ6hevTq2trY65ydPnkzr1q2LjM3Y2BhLS0udlxBCCCGEEEII8aqRGsLimaSmpjJy5EiGDBnC4cOHWbhwIXPmzAEe1vA0MjJi4cKFvPfee5w4cYJp06a9lLi0Wq1aB9bY2Jjy5cszevRoevfujYeHB+3ateOHH35g/fr17Ny5U6dvcHAwXbp0ITc3l8DAwBLdd9iwYQQFBdG4cWNatGjBypUrOXnyJI6Ojs/8TIXFZW5uzqBBgxg9ejQ2NjZUqlSJjz/+uEACT5+PPvqIJk2aMG3aNN566y327t3LokWL1I3HNm/ezB9//EGrVq0oX748W7duJS8vT6ccRVGfgRflww8/ZPDgwTRu3BgvLy/WrFnDsWPHdOZ59OjRTJo0CScnJxo0aEBkZCSJiYmsXLnyme+fv/L9k08+YerUqTrXxo4dS7NmzQgJCSE4OBgzMzOSkpLYsWMHixYteuZ7FxXToyUcoHifx/v376uJ5Pv373Pp0iUSExMxNzenVq1aAPj5+TF9+nTs7e1xc3PjyJEjzJ07V2dl9KJFi9iwYYOadO3QoQOurq7079+fzz77jMuXLzN+/HiGDh2KsbExADExMQXm78aNG6SmpvLXX38BqIlfOzs77Ozs0Gg06nvr7u5OgwYNiI6O5vfff9fZaDIgIIBq1aqpq5jfe+89Fi1axJgxYxg4cCA///wza9euZcuWLTr337NnDx06dHjKd0EIIV59KTNlY0whhBBCiP86SQiLZxIQEMDdu3fx9PTEwMCAYcOG8e677wIPv3IdFRXF//73PyIiImjYsCHh4eElqhf6tObMmcPIkSP5+uuvqVatGikpKXTt2pUFCxYQHh7OsGHDqFmzJpGRkQVW/bVr144qVarg5uZWYJOuJ3nrrbdITk5mzJgx3Lt3jx49evD+++/z008/PfMzFRXX7NmzyczMxM/PDwsLCz766CPS09OfOGbDhg1Zu3YtEydOZNq0aVSpUoWpU6cSFBQEPNyYb/369UyePJl79+7h7OzMt99+i5ubmzpGUZ+BF6Vfv3788ccfjBo1St3QLSgoiP3796ttQkNDSU9P56OPPuLq1au4uroSExOjbjr2LMqUKUNQUBCffvopAQEBOtfq16/P7t27+fjjj2nZsiWKouDk5KR3A8TnqV+/fowZM4bTp0+rCfvifB7/+usvnY0Cw8PDCQ8Px9vbm7i4OAAWLlzIhAkT+OCDD7h69SpVq1ZlyJAhTJw4Ue137do1kpOT1WMDAwM2b97M+++/T/PmzTEzMyMwMFBNACcnJ3Pu3Dl1Q798MTExOivg8zcFnDRpEpMnTwZg+PDh3Lt3jxEjRnDjxg3c3d3ZsWOHTkmO1NRUnT+K1KxZky1btjBixAgWLFhA9erV+eabb3Tuf+/ePTZu3Mi2bdtKNvlCCCGEEEIIIcQ/iEZRFKW0gxD/TK1bt6ZBgwbMnz+/tEN5rjIzM6lWrRqRkZF07969tMNRvYpxvUqfgfbt22NnZ8fy5ctfyv0GDRrE33//TUxMzEu5X3GMHj2ajIwMlixZUtqhPNHcuXPZuXMnW7duLe1QVIsXL2bDhg1s3779uYyXkZGBlZUV6enpUj5CCCGEEEIIIcQLV9zfQ2WFsBD/v7y8PK5du8acOXOwtrZ+KSuZi+NVjas0ZWVl8eWXX+Lj44OBgQHffvstO3fuZMeOHS/83unp6Rw/fpxVq1a9UslggI8//pgvvviCvLy8YpUMKU3Vq1dn3LhxpR2GDkNDQxYuXFjaYQghhBBCCCGEEC+UJISF+P+lpqZSs2ZNqlevTlRUFGXLvho/Hq9qXKVJo9GwdetWpk+fzr1793BxcWHdunW0a9fuhd/b39+f/fv3895779G+ffsXfr+SsLa25n//+19ph1EsvXv3Lu0QCggODi7tEIQQQgghhBBCiBdOSkYIIZ5KXFwcbdq04ebNm1hbWz/1OFqtluHDhzN8+PBnikej0bBhwwa6du36TOOUxPOK/VlNnjyZjRs3kpiYWGiblJQUatasyZEjR2jQoMELjef+/fu4urqybNkyvLy8Xui9npdr167h6urK4cOHqV69+nMZU0pGCCGEEEIIIYR4mYr7e+ir/Z1iIcS/3oEDB3Q2odNoNGzcuLH0AvoHGjVqFLGxsepxUFBQgcR4jRo1SEtL47XXXnvh8Xz55ZfUrFmzQDJ4165ddOrUCRsbG8qVK4erqysfffQRly5dAh5u6hYUFES9evUoW7Zsocn97OxsPv74YxwcHDA2Nkar1fL//t//KzKmr776itatW2NpaYlGo+HWrVs6121tbQkICGDSpEl6+z+++aQQQgghhBBCCPFPJd89F0KUqooVK5Z2CK+s+/fvY2Rk9MR25ubmmJubF9nGwMAAOzu75xVaoRRFYdGiRUydOlXn/JIlS/jggw8IDAxk3bp1aLVaUlNTWbZsGXPmzGHu3Lnk5uZiampKaGgo69atK/QevXv35sqVKyxdupRatWqRlpZGXl5ekXFlZWXh6+uLr69vobWLBwwYQKNGjZg9ezYVKlQgISGBu3fv6pQi2blzJ+XKlfvHrHwWQojHacO2lHYIQrxwKTM7l3YIQgghxCtNVggL8R/UunVrQkJCCAkJwcrKCltbWyZMmMCjFWSWL19O48aNsbCwwM7Ojr59+3L16tVCx4yKisLa2prNmzfj4uJCuXLl6NmzJ1lZWURHR6PVailfvjyhoaHk5uaq/bRaLfPnz1f/DdCtWzc0Go16DLB48WKcnJwwMjLCxcWF5cuXF/mMFy9epHfv3lhbW1OhQgX8/f1JSUlRr+fl5TF16lSqV6+OsbExDRo0YNu2ber1N954g5CQEJ0x//77b4yMjHRW4z7q1q1bDBkyhMqVK2NiYsJrr73G5s2bAbh+/Tpvv/021apVo1y5ctSrV49vv/1Wp3/++zJ8+HBsbW3x8fEhLi4OjUZDbGwsjRs3VpORp0+fVvtNnjxZLQMxefJkoqOj2bRpExqNBo1GQ1xcHCkpKWg0GrWsRHHGBdi0aRMNGzbExMQER0dHpkyZwoMHDwqd90OHDpGcnEznzv/3i9iff/5JaGgooaGh/L//9/9o3bo1Wq2WVq1a8c033zBx4kQAzMzMWLx4MYMHDy40eb1t2zZ2797N1q1badeuHVqtlubNm9OiRYtCYwIYPnw4YWFhNGvWrNA2bm5uVK1alQ0bNgBgb2+vJrJv377NBx98wFdffUWNGjWKvJcQQgghhBBCCPEqk4SwEP9R0dHRlC1blv3797NgwQLmzp3LN998o17Pyclh2rRpHD16lI0bN5KSkkJQUFCRY2ZlZREREcHq1avZtm0bcXFxdOvWja1bt7J161aWL1/OkiVL+P777/X2P3DgAACRkZGkpaWpxxs2bGDYsGF89NFHnDhxgiFDhjBgwAB27dqld5ycnBx8fHywsLBgz549JCQkYG5ujq+vL/fv3wdgwYIFzJkzh/DwcI4dO4aPjw9vvvkmZ8+eBR5uMLZq1Sqys7PVcVesWEG1atV44403CtwzLy+Pjh07kpCQwIoVK0hKSmLmzJkYGBgAD8shNGrUiC1btnDixAneffdd+vfvz/79+wu8L0ZGRiQkJPDll1+q5z/++GPmzJnDwYMHKVu2LAMHDtT77KNGjaJ37974+vqSlpZGWlpakatZixp3z549BAQEMGzYMJKSkliyZAlRUVFMnz690PH27NlD7dq1sbCwUM9999133L9/nzFjxujtU5Ia1DExMTRu3JjPPvuMatWqUbt2bUaNGsXdu3fVNvnJ7kf/AFBcnp6e7NmzB3hYZuO7777DysqKw4cPY21tzdq1ayUhLIQQQgghhBDiH01KRgjxH1WjRg3mzZuHRqPBxcWF48ePM2/ePAYPHgygkxh0dHQkIiKCJk2akJmZWWh5gpycHHUlL0DPnj1Zvnw5V65cwdzcHFdXV9q0acOuXbt46623CvTPLx9hbW2ts0I0PDycoKAgPvjgAwBGjhzJb7/9Rnh4OG3atCkwzpo1a8jLy+Obb75Bo9EAD5PM1tbWxMXF0aFDB8LDwxk7dix9+vQBYNasWezatYv58+fz+eef0717d0JCQti0aRO9e/cGHq6CDgoKUsd81M6dO9m/fz+nTp2idu3a6rzlq1atGqNGjVKPP/zwQ3766SfWrl2Lp6enet7Z2ZnPPvtMPU5LSwNg+vTpeHt7AxAWFkbnzp25d+8eJiYmOnGYm5tjampKdnZ2sUpEFDXulClTCAsLIzAwUH2eadOmMWbMmEJr7V64cIGqVavqnDt79iyWlpZUqVLlifE8yR9//EF8fDwmJiZs2LCBa9eu8cEHH3D9+nUiIyMBKFeuHC4uLhgaGpZ4/KpVq3LkyBEALl26xEcffUT58uVp2LAhN2/epE+fPsyZM4dq1aoV6Judna3zB4SMjIynfEohhBBCCCGEEOLFkRXCQvxHNWvWTCex2bx5c86ePauWczh06BB+fn7Y29tjYWGhJg1TU1MLHbNcuXJqMhigcuXKaLVanQRy5cqViyw9oc+pU6cKlARo0aIFp06d0tv+6NGjnDt3DgsLC7W+boUKFbh37x7JyclkZGTw119/FTmmiYkJ/fv3VzcrO3z4MCdOnCh0lXRiYiLVq1dXk8GPy83NZdq0adSrV48KFSpgbm7OTz/9VGA+GzVqpLd//fr11X/nJ1ZLOo8lHffo0aNMnTpVnUNzc3MGDx5MWloaWVlZese7e/dugSS1oih6k+hPIy8vD41Gw8qVK/H09KRTp07MnTuX6OhodZWwp6cnv//+u96k7ZOYmpqqz5aSkkJwcDCLFy/GwsKCxYsXExwcXOjK4xkzZmBlZaW+ZCWxEEIIIYQQQohXkawQFkIUcOfOHXx8fPDx8WHlypVUrFiR1NRUfHx81JIL+jy+IlOj0eg996QNwJ5VZmYmjRo1YuXKlQWulWQTu+DgYBo0aMCff/5JZGQkb7zxBg4ODnrbmpqaFjnW7NmzWbBgAfPnz6devXqYmZkxfPjwAvNpZmamt/+j85ifXH0e81jUuJmZmUyZMoXu3bsX6Pd40jefra0tx48f1zlXu3Zt0tPTSUtLe+ZVwlWqVKFatWpYWVmp5+rWrYuiKPz55584Ozs/0/g3btxQPyP66hI/usHc48aNG8fIkSPV44yMDEkKCyGEEEIIIYR45cgKYSH+o/bt26dz/Ntvv+Hs7IyBgQG///47169fZ+bMmbRs2ZI6deo8l9WoxWFoaKiz6Rw8TPglJCTonEtISMDV1VXvGA0bNuTs2bNUqlSJWrVq6bysrKywtLSkatWqTxyzXr16NG7cmK+//ppVq1YVWrcXHq60/fPPPzlz5oze6wkJCfj7+/POO+/g7u6Oo6NjoW2flZGRUYE5fBoNGzbk9OnTBeawVq1alCmj/38fHh4e/P777zobFPbs2RMjIyOdUhiPunXrVrFjatGiBX/99ReZmZnquTNnzlCmTBmqV69e7HEKc+LECTw8PAqcj4uLe2JfY2NjLC0tdV5CCCGEEEIIIcSrRlYIC/EflZqaysiRIxkyZAiHDx9m4cKFzJkzBwB7e3uMjIxYuHAh7733HidOnGDatGkvJS6tVktsbCwtWrTA2NiY8uXLM3r0aHr37o2Hhwft2rXjhx9+YP369ezcuVPvGP369WP27Nn4+/szdepUqlevzoULF1i/fj1jxoyhevXqjB49mkmTJuHk5ESDBg2IjIwkMTGxwKri4OBgQkJCMDMzo1u3boXG7e3tTatWrejRowdz586lVq1a/P7772g0Gnx9fXF2dub777/n119/pXz58sydO5crV64UmtR+Flqtlp9++onTp09jY2Ojs5q2JCZOnEiXLl2wt7enZ8+elClThqNHj3LixAk++eQTvX3atGlDZmYmJ0+e5LXXXgP+r151SEgIGRkZBAQEoNVq+fPPP1m2bBnm5ubqZy8pKYn79+9z48YNbt++TWJiIgANGjQAoG/fvkybNo0BAwYwZcoUrl27xujRoxk4cKC6Snv//v0EBAQQGxurlo24fPkyly9f5ty5cwAcP34cCwsL7O3tqVChAvBwU8RDhw7x6aefPtV8CSHEP0HKzM6lHYIQQgghhChlskJYiP+ogIAA7t69i6enJ0OHDmXYsGG8++67wMOyClFRUXz33Xe4uroyc+ZMwsPDX0pcc+bMYceOHdSoUUNdqdm1a1cWLFhAeHg4bm5uLFmyhMjISFq3bq13jHLlyvHLL79gb29P9+7dqVu3LoMGDeLevXvqqs3Q0FBGjhzJRx99RL169di2bRsxMTEFSg68/fbblC1blrfffrvQMgn51q1bR5MmTXj77bdxdXVlzJgx6krd8ePH07BhQ3x8fGjdujV2dnZ07dr12SarEIMHD8bFxYXGjRtTsWLFAiuhi8vHx4fNmzezfft2mjRpQrNmzZg3b16hZTMAbGxs6NatW4HE+gcffMD27du5dOkS3bp1o06dOgQHB2Npaamz2V6nTp3w8PDghx9+IC4uDg8PD50Vu+bm5uzYsYNbt27RuHFj+vXrh5+fHxEREWqbrKwsTp8+TU5Ojnruyy+/xMPDQ900sVWrVnh4eBATE6O22bRpE/b29rRs2fKp5ksIIYQQQgghhPgn0CiPfq9XCPGf0Lp1axo0aMD8+fNLO5RXXkpKCk5OThw4cICGDRuWdjj/CMeOHaN9+/YkJyfrbCj4qmvWrBmhoaH07dv3uYyXkZGBlZUV6enpUj5CCCGEEEIIIcQLV9zfQ2WFsBBC6JGTk8Ply5cZP348zZo1k2RwCdSvX59Zs2Zx/vz50g6l2K5du0b37t15++23SzsUIYQQQgghhBDihZIawkIIoUdCQgJt2rShdu3afP/996Udzj9OUFBQaYdQIra2towZM6a0wxBCCCGEEEIIIV44WSEsxH9QXFyclIt4gtatW6MoCkuWLKF+/frcunXrmcbTarXPZc41Gg0bN2585nFelPv371OrVi1+/fXX0g7ludm2bRsNGjQgLy+vtEMRQgghhBBCCCGemSSEhRDiJThw4IC6aR+8Wond5xnLl19+Sc2aNfHy8lLPTZ8+HS8vL8qVK4e1tXWhfaOioqhfvz4mJiZUqlSJoUOHFnmvX375BT8/P6pWrfrUzxAXF4dGo9H7OnDgAAC+vr4YGhoW2ChPCCGEEEIIIYT4J5KSEUII8RJUrFixtEN44RRFYdGiRUydOlXn/P379+nVqxfNmzdn6dKlevvOnTuXOXPmMHv2bJo2bcqdO3dISUkp8n537tzB3d2dgQMH0r1796eK2cvLi7S0NJ1zEyZMIDY2lsaNG6vngoKCiIiIoH///k91HyGEeFVow7aUdgjiGaTM7FzaIQghhBDiX0BWCAsh/rVat25NSEgIISEhWFlZYWtry4QJE1AURW2zfPlyGjdujIWFBXZ2dvTt25erV68WOmZUVBTW1tZs3rwZFxcXypUrR8+ePcnKyiI6OhqtVkv58uUJDQ0lNzdX7fdoyQitVgtAt27d0Gg06jHA4sWLcXJywsjICBcXF5YvX17kM168eJHevXtjbW1NhQoV8Pf310mkHjhwgPbt22Nra4uVlRXe3t4cPnxYJ67CYtm0aRMNGzbExMQER0dHpkyZwoMHDwqN5dChQyQnJ9O5s+4vq1OmTGHEiBHUq1dPb7+bN28yfvx4li1bRt++fXFycqJ+/fq8+eabRT57x44d+eSTT+jWrVuhbbRaLZ9++ikDBw7EwsICe3t7vvrqK/W6kZERdnZ26svGxoZNmzYxYMAANBqN2s7Pz4+DBw+SnJxcZExCCCGEEEIIIcSrThLCQoh/tejoaMqWLcv+/ftZsGABc+fO5ZtvvlGv5+TkMG3aNI4ePcrGjRtJSUl54oZoWVlZREREsHr1arZt20ZcXBzdunVj69atbN26leXLl7NkyZJCN6PLL0UQGRlJWlqaerxhwwaGDRvGRx99xIkTJxgyZAgDBgxg165desfJycnBx8cHCwsL9uzZQ0JCAubm5vj6+nL//n0Abt++TWBgIPHx8fz22284OzvTqVMnbt++XWQse/bsISAggGHDhpGUlMSSJUuIiopi+vTphc7Lnj17qF27NhYWFkXO3+N27NhBXl4ely5dom7dulSvXp3evXtz8eJFnXYajYaoqKgSjQ0wZ84cGjduzJEjR/jggw94//33OX36tN62MTExXL9+nQEDBuict7e3p3LlyuzZs6fQ+2RnZ5ORkaHzEkIIIYQQQgghXjVSMkII8a9Wo0YN5s2bh0ajwcXFhePHjzNv3jwGDx4MwMCBA9W2jo6ORERE0KRJEzIzMzE3N9c7Zk5OjrqSF6Bnz54sX76cK1euYG5ujqurK23atGHXrl289dZbBfrnl4+wtrbGzs5OPR8eHk5QUBAffPABACNHjuS3334jPDycNm3aFBhnzZo15OXl8c0336irWSMjI7G2tiYuLo4OHTrwxhtv6PT56quvsLa2Zvfu3XTp0qXQWKZMmUJYWBiBgYHq3EybNo0xY8YwadIkvfNy4cIFqlatqvdaUf744w/y8vL49NNPWbBgAVZWVowfP5727dtz7NgxjIyMAHBxccHKyqrE43fq1Emd07FjxzJv3jx27dqFi4tLgbZLly7Fx8eH6tWrF7hWtWpVLly4UOh9ZsyYwZQpU0ocnxBCCCGEEEII8TLJCmEhxL9as2bNdL7637x5c86ePauWczh06BB+fn7Y29tjYWGBt7c3AKmpqYWOWa5cOTUZDFC5cmW0Wq1OArly5cpFlp7Q59SpU7Ro0ULnXIsWLTh16pTe9kePHuXcuXNYWFhgbm6Oubk5FSpU4N69e2ppgytXrjB48GCcnZ2xsrLC0tKSzMzMIp8vf+ypU6eq45qbmzN48GDS0tLIysrS2+fu3buYmJiU6JkB8vLyyMnJISIiAh8fH5o1a8a3337L2bNndVZH//7770WWhyhM/fr11X9rNBrs7Oz0vjd//vknP/30E4MGDdI7jqmpaaHPDjBu3DjS09PV1+MrnIUQQgghhBBCiFeBrBAWQvxn3blzBx8fH3x8fFi5ciUVK1YkNTUVHx8fteSCPoaGhjrHGo1G77m8vLwXEne+zMxMGjVqxMqVKwtcy1/5GxgYyPXr11mwYAEODg4YGxvTvHnzIp8vf+wpU6bo3aytsKSvra0tx48fL/FzVKlSBQBXV1ed+G1tbZ+YuC6O4r43kZGR2NjYFFq7+MaNG0VuDmhsbIyxsfGzBSuEEEIIIYQQQrxgkhAWQvyr7du3T+c4v46ugYEBv//+O9evX2fmzJnUqFEDgIMHD76UuAwNDXU2nQOoW7cuCQkJapkGgISEBJ1E6aMaNmzImjVrqFSpEpaWlnrbJCQk8MUXX9CpUyfg4SZ0165de2IsDRs25PTp09SqVavYz+Th4cHixYtRFEVnVfaT5K+KPn36tFqq4caNG1y7dg0HB4dij/MsFEUhMjKSgICAAglkQF117eHh8VLiEUIIIYQQQgghXhRJCAsh/tVSU1MZOXIkQ4YM4fDhwyxcuJA5c+YADzcKMzIyYuHChbz33nucOHGCadOmvZS4tFotsbGxtGjRAmNjY8qXL8/o0aPp3bs3Hh4etGvXjh9++IH169ezc+dOvWP069eP2bNn4+/vz9SpU6levToXLlxg/fr1jBkzhurVq+Ps7Mzy5ctp3LgxGRkZjB49GlNT0yfGMnHiRLp06YK9vT09e/akTJkyHD16lBMnTvDJJ5/ojadNmzZkZmZy8uRJXnvtNfV8amoqN27cIDU1ldzcXBITEwGoVasW5ubm1K5dG39/f4YNG8ZXX32FpaUl48aNo06dOjq1k+vUqcOMGTPUshGZmZmcO3dOvX7+/HkSExOpUKEC9vb2JXo/fv75Z86fP09wcLDe67/99pu6uloIIf7JUmZ2Lu0QhBBCCCFEKZMawkKIf7WAgADu3r2Lp6cnQ4cOZdiwYbz77rvAw7IEUVFRfPfdd7i6ujJz5kzCw8NfSlxz5sxhx44d1KhRQ1112rVrVxYsWEB4eDhubm4sWbKEyMhIWrdurXeMcuXK8csvv2Bvb0/37t2pW7cugwYN4t69e+qK4aVLl3Lz5k0aNmxI//79CQ0NpVKlSk+MxcfHh82bN7N9+3aaNGlCs2bNmDdvXpErdm1sbOjWrVuBEhYTJ07Ew8ODSZMmkZmZiYeHBx4eHjqrsZctW0bTpk3p3Lkz3t7eGBoasm3bNp3VuqdPnyY9PV09PnjwoDoWPNyEz8PDg4kTJz5p+gtYunQpXl5e1KlTR+/1b7/9ln79+lGuXLkSjy2EEEIIIYQQQrxKNIqiKKUdhBBCvAitW7emQYMGzJ8/v7RD+c84duwY7du3Jzk5WWeTvX+ya9eu4eLiwsGDB6lZs2ax+2VkZGBlZUV6enqhJT2EEEIIIYQQQojnpbi/h8oKYSGEEM9N/fr1mTVrFufPny/tUJ6blJQUvvjiixIlg4UQQgghhBBCiFeV1BAWQgjxXAUFBZV2CM9V48aNady4cWmHIYQQQgghhBBCPBeyQlgI8a8VFxf3ry4XERcXh0aj4datW880jlarfSXnqVWrVqxataq0wwCgWbNmrFu3rrTDEEIIIYQQQgghnpkkhIUQ4j/uwIED6kZ7ABqNho0bN5Z4nOeZWI6JieHKlSv06dNHPffVV1/RunVrLC0ti0yEb9myhaZNm2Jqakr58uXp2rXrE+/33XffUadOHUxMTKhXrx5bt27VuT5+/HjCwsLIy8t7lscSQgghhBBCCCFKnZSMEEKI/7iKFSuWdggFREREMGDAAMqU+b+/W2ZlZeHr64uvry/jxo3T22/dunUMHjyYTz/9lDfeeIMHDx5w4sSJIu/166+/8vbbbzNjxgy6dOnCqlWr6Nq1K4cPH+a1114DoGPHjgQHB/Pjjz/SuXPn5/egQgjxkmnDtpR2CK+klJny33YhhBBC/HfICmEhhCgFrVu3JiQkhJCQEKysrLC1tWXChAkoiqK2Wb7Vq/EOAAEAAElEQVR8OY0bN8bCwgI7Ozv69u3L1atXCx0zKioKa2trNm/ejIuLC+XKlaNnz55kZWURHR2NVqulfPnyhIaGkpubq/Z7dGWvVqsFoFu3bmg0GvU4OTkZf39/KleujLm5OU2aNGHnzp06z3PhwgVGjBiBRqNBo9Go1+Lj42nZsiWmpqbUqFGD0NBQ7ty5U+hz/P333/z888/4+fnpnB8+fDhhYWE0a9ZMb78HDx4wbNgwZs+ezXvvvUft2rVxdXWld+/ehd4LYMGCBfj6+jJ69Gjq1q3LtGnTaNiwIYsWLVLbGBgY0KlTJ1avXl3kWEIIIYQQQgghxKtOEsJCCFFKoqOjKVu2LPv372fBggXMnTuXb775Rr2ek5PDtGnTOHr0KBs3biQlJeWJG7ZlZWURERHB6tWr2bZtG3FxcXTr1o2tW7eydetWli9fzpIlS/j+++/19j9w4AAAkZGRpKWlqceZmZl06tSJ2NhYjhw5gq+vL35+fqSmpgKwfv16qlevztSpU0lLSyMtLQ14mEj29fWlR48eHDt2jDVr1hAfH09ISEihzxAfH0+5cuWoW7dusecS4PDhw1y6dIkyZcrg4eFBlSpV6NixY4EVwlqtlsmTJ6vHe/fupV27djptfHx82Lt3r845T09P9uzZU+j9s7OzycjI0HkJIYQQQgghhBCvGikZIYQQpaRGjRrMmzcPjUaDi4sLx48fZ968eQwePBiAgQMHqm0dHR2JiIigSZMmZGZmYm5urnfMnJwcFi9ejJOTEwA9e/Zk+fLlXLlyBXNzc1xdXWnTpg27du3irbfeKtA/v3yEtbU1dnZ26nl3d3fc3d3V42nTprFhwwZiYmIICQmhQoUKGBgYqKuZ882YMYN+/foxfPhwAJydnYmIiMDb25vFixdjYmJSIIYLFy5QuXJlnXIRxfHHH38AMHnyZObOnYtWq2XOnDm0bt2aM2fOUKFCBQCcnJywtbVV+12+fJnKlSvrjFW5cmUuX76sc65q1apcvHiRvLw8vbHNmDGDKVOmlChmIYQQQgghhBDiZZMVwkIIUUqaNWumU1qhefPmnD17Vi3ncOjQIfz8/LC3t8fCwgJvb28AdVWuPuXKlVOTwfAwsanVanUSyJUrVy6y9IQ+mZmZjBo1irp162JtbY25uTmnTp0qMhaAo0ePEhUVhbm5ufry8fEhLy+P8+fP6+1z9+5dvYniJ8nf8O3jjz+mR48eNGrUiMjISDQaDd99953aLjY2tsgVyoUxNTUlLy+P7OxsvdfHjRtHenq6+rp48WKJ7yGEEEIIIYQQQrxoskJYCCFeQXfu3MHHxwcfHx9WrlxJxYoVSU1NxcfHh/v37xfaz9DQUOdYo9HoPZefPC2uUaNGsWPHDsLDw6lVqxampqb07NmzyFjgYSJ5yJAhhIaGFrhmb2+vt4+trS03b94sUXwAVapUAcDV1VU9Z2xsjKOjY5GJazs7O65cuaJz7sqVKzornQFu3LiBmZkZpqamescxNjbG2Ni4xHELIYQQQgghhBAvkySEhRCilOzbt0/n+LfffsPZ2RkDAwN+//13rl+/zsyZM6lRowYABw8efClxGRoa6mw6B5CQkEBQUBDdunUDHiZ6U1JSdNoYGRkV6NewYUOSkpKoVatWse/v4eHB5cuXuXnzJuXLly92v0aNGmFsbMzp06d5/fXXgYclNFJSUnBwcCi0X/PmzYmNjVXLWgDs2LGD5s2b67Q7ceIEHh4exY5HCCGEEEIIIYR4FUlCWAghSklqaiojR45kyJAhHD58mIULFzJnzhzg4epZIyMjFi5cyHvvvceJEyeYNm3aS4lLq9USGxtLixYtMDY2pnz58jg7O7N+/Xr8/PzQaDRMmDChwCpjrVbLL7/8Qp8+fTA2NsbW1paxY8fSrFkzQkJCCA4OxszMjKSkJHbs2MGiRYv03t/DwwNbW1sSEhLo0qWLev7y5ctcvnyZc+fOAXD8+HEsLCywt7enQoUKWFpa8t577zFp0iRq1KiBg4MDs2fPBqBXr17qOG3btqVbt25q2Yhhw4bh7e3NnDlz6Ny5M6tXr+bgwYN89dVXOnHt2bOHDh06PPsECyFEKUqZ2bm0QxBCCCGEEKVMaggLIUQpCQgI4O7du3h6ejJ06FCGDRvGu+++Czzc3C0qKorvvvsOV1dXZs6cSXh4+EuJa86cOezYsYMaNWqoK2Lnzp1L+fLl8fLyws/PDx8fHxo2bKjTb+rUqaSkpODk5KRuTle/fn12797NmTNnaNmyJR4eHkycOJGqVasWen8DAwMGDBjAypUrdc5/+eWXeHh4qJvutWrVCg8PD2JiYtQ2s2fPpk+fPvTv358mTZpw4cIFfv75Z52VxsnJyVy7dk099vLyYtWqVXz11Ve4u7vz/fffs3HjRl577TW1zaVLl/j1118ZMGBASadTCCGEEEIIIYR4pWgURVFKOwghhPivad26NQ0aNGD+/PmlHcor6fLly7i5uXH48OEiyz28LGPHjuXmzZsFVg0XJSMjAysrK9LT07G0tHyB0QkhhBBCCCGEEMX/PVRWCAshhHjl2NnZsXTp0iI3g3uZKlWq9NJKdgghhBBCCCGEEC+S1BAWQgjxSuratWtph6D66KOPSjsEIYQQQgghhBDiuZAVwkI8B3FxcWg0Gm7duvXS7pmSkoJGoyExMfGZxgkKCnrpibfJkyfToEGDZx5Hq9X+I0ou6JvjuLi4ArH379+fTz/99OUF9g/Sp08fdcO9omg0GjQaDdbW1iUaPygoSO27cePGpwtSCCGEEEIIIYT4B5CEsBBCvAKOHj3K1q1bCQ0NVc+tX7+eDh06YGNjU2jy//Lly/Tv3x87OzvMzMxo2LAh69atK/JeaWlp9O3bl9q1a1OmTBmGDx9eaNspU6bwzjvvAPDVV1/RunVrLC0tC/0DyJkzZ/D398fW1hZLS0tef/11du3aVWQ8J0+epEePHmi1WjQajd4k//jx45k+fTrp6elFjgUQGRnJmTNn1OP169fTvn17KlasiKWlJc2bN+enn37S6bNgwQLS0tL0jhcVFUVUVNQT7yuEEEIIIYQQQvwTSMkIIYR4Svfv38fIyOi5jLVw4UJ69eqFubm5eu7OnTu8/vrr9O7dm8GDB+vtFxAQwK1bt4iJicHW1pZVq1bRu3dvDh48iIeHh94+2dnZVKxYkfHjxzNv3rwi49q0aRNhYWEAZGVl4evri6+vL+PGjdPbvkuXLjg7O/Pzzz9jamrK/Pnz6dKlC8nJydjZ2entk5WVhaOjI7169WLEiBF627z22ms4OTmxYsUKhg4dWmTM1tbWVKpUST3+5ZdfaN++PZ9++inW1tZERkbi5+fHvn371DmysrLCyspKZ5x58+YRHBysHt++fZtvvvmm0BiFEOKfQBu2pbRDEOKlSZnZubRDEEIIIV5JskJYiGLIzs4mNDSUSpUqYWJiwuuvv86BAweK7BMfH0/Lli0xNTWlRo0ahIaGcufOHfX6zZs3CQgIoHz58pQrV46OHTty9uxZ4GEi0NLSku+//15nzI0bN2JmZsbt27eLHfvx48d54403MDU1xcbGhnfffZfMzMxC2+fl5TFjxgxq1qyJqakp7u7uBeLYvXs3np6eGBsbU6VKFcLCwnjw4AEAy5Ytw8bGhuzsbJ0+Xbt2pX///sWO+/bt2/Tr1w8zMzOqVKnCvHnzaN26daGrWQcOHEiXLl10zuXk5FCpUiWWLl2qPttnn31GrVq1MDY2xt7enunTp6vtL168SO/evbG2tqZChQr4+/uTkpKiXs8v/TB9+nSqVq2Ki4sLUPI5flxubi7ff/89fn5+Ouf79+/PxIkTadeuXaF9f/31Vz788EM8PT1xdHRk/PjxWFtbc+jQoUL7aLVaFixYQEBAQIEk6KMuXrzIyZMn8fX1BWD48OGEhYXRrFkzve2vXbvG2bNnCQsLo379+jg7OzNz5kyysrI4ceJEofdp0qQJs2fPpk+fPhgbGxfazs/Pj9WrVxd6vTDz589nzJgxNGnSBGdnZz799FOcnZ354YcfiuxXvnx52rdvT3x8PPHx8bRv357y5cuX+P5CCCGEEEIIIcSrRBLCQhTDmDFjWLduHdHR0Rw+fJhatWrh4+PDjRs39LZPTk7G19eXHj16cOzYMdasWUN8fDwhISFqm6CgIA4ePEhMTAx79+5FURQ6depETk4OZmZm9OnTh8jISJ1xIyMj6dmzJxYWFsWK+86dO/j4+FC+fHkOHDjAd999x86dO3XieNyMGTNYtmwZX375JSdPnmTEiBG888477N69G4BLly7RqVMnmjRpwtGjR1m8eDFLly7lk08+AaBXr17k5uYSExOjjnn16lW2bNnCwIEDixU3wMiRI0lISCAmJoYdO3awZ88eDh8+XGj74OBgtm3bpvO1/82bN5OVlcVbb70FwLhx45g5cyYTJkwgKSmJVatWUblyZeBh8tjHxwcLCwv27NlDQkIC5ubm+Pr6cv/+fXXM2NhYTp8+zY4dO9i8efNTzfHjjh07Rnp6Oo0bNy52n3xeXl6sWbOGGzdukJeXx+rVq7l37x6tW7dW27Ru3ZqgoKASjx0TE6OWiCgOGxsbXFxcWLZsGXfu3OHBgwcsWbKESpUq0ahRI7WdVqtl8uTJJY7H09OT/fv3F/hjQ0nl5eVx+/ZtKlSoUGS7oKAg1q5dy+bNm9m8eTNr164tch6zs7PJyMjQeQkhhBBCCCGEEK8aKRkhxBPcuXOHxYsXExUVRceOHQH4+uuv2bFjB0uXLmX06NEF+syYMYN+/fqpq1mdnZ2JiIjA29ubxYsXc/HiRWJiYkhISMDLywuAlStXUqNGDTZu3EivXr0IDg7Gy8uLtLQ0qlSpwtWrV9m6dSs7d+4sduyrVq3i3r17LFu2DDMzMwAWLVqEn58fs2bNUpOh+bKzs/n000/ZuXMnzZs3B8DR0ZH4+HiWLFmCt7c3X3zxBTVq1GDRokVoNBrq1KnDX3/9xdixY5k4cSKmpqb07duXyMhIevXqBcCKFSuwt7fXSVIW5fbt20RHR7Nq1Sratm0LPEyGV61atdA+Xl5euLi4sHz5csaMGaP2yS/DcPv2bRYsWMCiRYsIDAwEwMnJiddffx2ANWvWkJeXxzfffINGo1H7W1tbExcXR4cOHQAwMzPjm2++UUtFfP311yWaY30uXLiAgYGBTpmD4lq7di1vvfUWNjY2lC1blnLlyrFhwwZq1aqltrG3t6dKlSolHnvTpk34+/sXu71Go2Hnzp107doVCwsLypQpQ6VKldi2bZvOylonJydsbW1LHE/VqlW5f/8+ly9fxsHBocT984WHh5OZmUnv3r2LbLdixQoWLVpE584Pv27au3dvQkJC1JrKj5sxYwZTpkx56riEEEIIIYQQQoiXQVYIC/EEycnJ5OTk0KJFC/WcoaEhnp6enDp1Sm+fo0ePEhUVhbm5ufry8fEhLy+P8+fPc+rUKcqWLUvTpk3VPvmrK/PH9PT0xM3NjejoaOBhcsrBwYFWrVrpvaebm5t6r/zE9alTp3B3d1cTlQAtWrQgLy+P06dPFxjj3LlzZGVl0b59e53Yly1bRnJysjpm8+bN1aRp/piZmZn8+eefAAwePJjt27dz6dIl4OGmXEFBQTp98u3Zs0fnXitXruSPP/4gJycHT09PtZ2VlZVaoqEwwcHB6qrqK1eu8OOPP6qrkk+dOkV2draaYH7c0aNHOXfuHBYWFmosFSpU4N69e+qzA9SrV0+nbnBJ51ifu3fvYmxsrHd+nmTChAncunWLnTt3cvDgQUaOHEnv3r05fvy42mbZsmXMmDGjRONmZGSwe/du3nzzzWL3URSFoUOHUqlSJfbs2cP+/fvp2rUrfn5+Oiu3Y2NjS7SCOp+pqSnwsObw01q1ahVTpkxh7dq1T0zAX716lR07dtCyZUtatmzJjh07uHr1aqHtx40bR3p6uvq6ePHiU8cphBBCCCGEEEK8KLJCWIgXIDMzkyFDhhAaGlrgmr29vVor+EmCg4P5/PPPCQsLIzIykgEDBhSaNNy6dSs5OTnA/yXOniZugC1btlCtWjWda0XVdn2ch4cH7u7uLFu2jA4dOnDy5Em2bNG/iU3jxo1JTExUjytXrswff/xR8uB5uMFaWFgYe/fu5ddff6VmzZq0bNkSePKcZGZm0qhRI1auXFngWsWKFdV/P5r4fV5sbW3Jysoq8SZ1ycnJLFq0iBMnTuDm5gaAu7s7e/bs4fPPP+fLL7986ph+/PFHXF1dqVGjRrH7/Pzzz2zevJmbN2+qZSa++OILduzYQXR0tLo53dPKL9Hy6PtREqtXryY4OJjvvvuuyLrM+UaOHKlzbGFhUeDco4yNjUv0cyKEEEIIIYQQQpQGSQgL8QROTk4YGRmRkJCgfk09JyeHAwcOFLrBWcOGDUlKStL52v6j6taty4MHD9i3b59aMuL69eucPn0aV1dXtd0777zDmDFjiIiIICkpSS11oI++r9DXrVuXqKgo7ty5oyYyExISKFOmjN7Vtq6urhgbG5Oamoq3t3ehsa9btw5FUdTkdEJCAhYWFlSvXl1tFxwczPz587l06RLt2rUrNLFoampaYJ4cHR0xNDTkwIED2NvbA5Cens6ZM2cKXSEND1dZd+3alcjISPbu3cuAAQPUa87OzpiamhIbG0twcHCBvg0bNmTNmjVUqlSp2DVz8+ejJHOsT4MGDQBISkpS/10c+Stly5TR/bKHgYEBeXl5xR5Hn5KWiygqnjJlyjxzPAAnTpygevXqT1Vu4ttvv2XgwIGsXr1aLQFRXE9Tf1kIIYQQQgghhHhVSUJYiCcwMzPj/fffZ/To0VSoUAF7e3s+++wzsrKyGDRokN4+Y8eOpVmzZoSEhBAcHIyZmRlJSUns2LGDRYsW4ezsjL+/P4MHD2bJkiVYWFgQFhZGtWrVdJJw5cuXp3v37owePZoOHTroJFyLo1+/fkyaNInAwEAmT57M33//zYcffkj//v311ra1sLBg1KhRjBgxgry8PF5//XXS09NJSEjA0tKSwMBAPvjgA+bPn8+HH35ISEgIp0+fZtKkSYwcOVInEdi3b19GjRrF119/zbJly0oUt4WFBYGBgeqcV6pUiUmTJlGmTJknllUIDg6mS5cu5Obm6iTQTUxMGDt2LGPGjMHIyIgWLVrw999/c/LkSQYNGkS/fv2YPXs2/v7+TJ06lerVq3PhwgXWr1/PmDFjCp37ks6xPhUrVqRhw4bEx8frJIRv3LhBamoqf/31F4BagsLOzg47Ozvq1KlDrVq1GDJkCOHh4djY2LBx40Z1w7t8AQEBVKtWTadsRP6q7MzMTP7++28SExMxMjLC1dWVBw8e8OOPPzJq1CidOC9fvszly5c5d+4cAMePH8fCwgJ7e3sqVKhA8+bNKV++PIGBgWo96a+//prz58/rJGHbtm1Lt27d1LIR9+/fJykpSf33pUuXSExMxNzcXOePBXv27FFrOZfEqlWrCAwMZMGCBTRt2pTLly8DD/8YYWVlVeLxhBDinyxlZsn+KCaEEEIIIf6FFCHEE929e1f58MMPFVtbW8XY2Fhp0aKFsn//fvX6rl27FEC5efOmem7//v1K+/btFXNzc8XMzEypX7++Mn36dPX6jRs3lP79+ytWVlaKqamp4uPjo5w5c6bAvWNjYxVAWbt2rc758+fPK4By5MiRImM/duyY0qZNG8XExESpUKGCMnjwYOX27dvq9cDAQMXf3189zsvLU+bPn6+4uLgohoaGSsWKFRUfHx9l9+7dapu4uDilSZMmipGRkWJnZ6eMHTtWycnJKXDv/v37KxUqVFDu3bunc37SpEmKu7t7kXFnZGQoffv2VcqVK6fY2dkpc+fOVTw9PZWwsDC1jYODgzJv3jydfnl5eYqDg4PSqVOnAmPm5uYqn3zyieLg4KAYGhoq9vb2yqeffqpeT0tLUwICAtT32dHRURk8eLCSnp6ud67ylXSO9fniiy+UZs2a6ZyLjIxUgAKvSZMmqW3OnDmjdO/eXalUqZJSrlw5pX79+sqyZct0xvH29lYCAwN1zukb18HBQVEURdm5c6dSvXr1AjFOmjRJb7/IyEi1zYEDB5QOHTooFSpUUCwsLJRmzZopW7du1RnHwcFB5xnyP8uPv7y9vdU2d+/eVaysrJS9e/cWOY+AsmHDhgLPr2/8x+eksP5PKz09XQHUz48QQgghhBBCCPEiFff3UI2iKMqLTzsLIZ7W8uXLGTFiBH/99VeJ6su+Ctq2bYubmxsRERHPPNadO3eoVq0ac+bMKXRlNjxc8VqtWjUiIyPp3r37M9/3Zbl79y4uLi6sWbOG5s2bl2osoaGhPHjwgC+++KJU43jU4sWL2bBhA9u3by+ynUajYcOGDXTt2vWp7vOs/R+VkZGBlZUV6enpJSpDIoQQQgghhBBCPI3i/h4qJSOEeEVlZWWRlpbGzJkzGTJkyD8qGXzz5k3i4uKIi4t76qTikSNH+P333/H09CQ9PZ2pU6cCFFrXNi8vj2vXrjFnzhysra158803nzr+0mBqasqyZcu4du1aaYfCa6+9VupJ6ccZGhqycOHCYrV9++23sbGx4c8//yz2+O+99x4rVqx42vCEEEIIIYQQQoh/DFkhLMQravLkyUyfPp1WrVqxadMmzM3NSzukYtNqtdy8eZMJEyYUqENbXEeOHCE4OJjTp09jZGREo0aNmDt3LvXq1dPbPiUlhZo1a1K9enWioqJo27btszyC+IfKr29sYGBAzZo1i93v6tWrZGRkAFClShV1g8BnISuEhRBCCCGEEEK8TMX9PbRMoVeEEADExcWh0Wi4devWS7tnSkoKU6ZM4cCBA8TGxupNBkdFRWFtba0eT548WWdDsufh8XsUV0pKCunp6U+VDM6f75o1a3Lo0CEyMzO5ceMGO3bsKDQZDA+T0IqicPHiRdq2bUtQUNBz+dr/i1bcOV66dOlTbaj2XxAWFsaHH34IQK1atahVq5beZLBWq0Wj0ej9ea5UqZLa9/Fk8OTJk9V+8+fPf1GPIYQQQgghhBBCvBSSEBbiX2LUqFHExsaWdhjiBbh37x4TJkxg0qRJ6rmTJ0/So0cPNcmpL1GZm5vLhAkTqFmzJqampjg5OTFt2jSe9MWQ0NBQGjVqhLGxcZF/ZNi9ezc1atQA4JdffsHPz4+qVaui0WjYuHFjgfaZmZmEhIRQvXp1TE1NcXV15csvvywylri4OPz9/dVVuw0aNGDlypU6bUaNGkV0dDR//PFHkWMBTJ06lbS0NKysrEo0flpaGtWrV3/i+EIIIYQQQgghxKtOaggL8S9hbm7+jyor8W+Xm5uLRqOhTJln/7vb999/j6WlJS1atFDPZWVl4ejoSK9evRgxYoTefrNmzWLx4sVER0fj5ubGwYMHGTBgAFZWVoSGhhZ5z4EDB7Jv3z6OHTtWaJtNmzbh5+cHPNz0z93dnYEDBxa6md/IkSP5+eefWbFiBVqtlu3bt/PBBx9QtWrVQms+//rrr9SvX5+xY8dSuXJlNm/eTEBAAFZWVnTp0gUAW1tbfHx8WLx4MbNnzy7yuSwsLLCzsyvR+Pk/WwYGBkWOLYQQ/wTasC2lHYJ4jlJmdi7tEIQQQgjxDyQrhMV/XnZ2NqGhoVSqVAkTExNef/11Dhw4UGSf+Ph4WrZsiampKTVq1CA0NJQ7d+6o12/evElAQADly5enXLlydOzYkbNnzwIPE2eWlpZ8//33OmNu3LgRMzMzbt++/VTP8XjJiPySCeHh4VSpUgUbGxuGDh1KTk5OseIszKZNm2jYsCEmJiY4OjoyZcoUHjx4oF5PTU3F398fc3NzLC0t6d27N1euXAEelpIoU6YMBw8e1Blz/vz5ODg4kJeXV+zn/eSTT6hUqRIWFhYEBwcTFhZW6GrWZcuWYWNjQ3Z2ts75rl270r9/f/X4hx9+oEmTJpiYmGBra0u3bt3Ua9nZ2YwaNYpq1aphZmZG06ZNiYuLU6/nl36IiYnB1dUVY2NjUlNTn2qOH7d69Wo18ZqvSZMmzJ49mz59+mBsbKy336+//oq/vz+dO3dGq9XSs2dPOnTowP79+4u8X0REBEOHDsXR0bHIdjExMWoit2PHjnzyySc6c6YvnsDAQFq3bo1Wq+Xdd9/F3d29yHj+97//MW3aNLy8vHBycmLYsGH4+vqyfv16nXZ+fn6sXr26yHifZXwhhBBCCCGEEOLfQhLC4j9vzJgxrFu3jujoaA4fPkytWrXw8fHhxo0betsnJyfj6+tLjx49OHbsGGvWrCE+Pp6QkBC1TVBQEAcPHiQmJoa9e/eiKAqdOnUiJycHMzMz+vTpQ2RkpM64kZGR9OzZEwsLi+f2bLt27SI5OZldu3YRHR1NVFQUUVFRxYpTnz179hAQEMCwYcNISkpiyZIlREVFMX36dADy8vLw9/fnxo0b7N69mx07dvDHH3/w1ltvAQ9ruLZr107vswcFBRV7Ne3KlSuZPn06s2bN4tChQ9jb27N48eJC2/fq1Yvc3FxiYmLUc1evXmXLli0MHDgQgC1bttCtWzc6derEkSNHiI2NxdPTU20fEhLC3r17Wb16NceOHaNXr174+vrqJHezsrKYNWsW33zzDSdPnqRSpUolnmN94uPjady4cbHb5/Py8iI2NpYzZ84AcPToUeLj4+nYsaPaZvLkyWi12hKPffLkSa5evcobb7xRonhiYmK4dOkSiqKwa9cuzpw5o1MbOSgoiNatWxc5Tnp6OhUqVNA55+npyZ9//klKSkpJHqPY4xdHdnY2GRkZOi8hhBBCCCGEEOJVIwlh8Z92584d9WvmHTt2xNXVla+//hpTU1OWLl2qt8+MGTPo168fw4cPx9nZGS8vLyIiIli2bBn37t3j7NmzxMTE8M0339CyZUvc3d1ZuXIlly5dUuuqBgcH89NPP5GWlgY8TE5u3bpVTU4+L+XLl2fRokXUqVOHLl260LlzZ7XOcHHifNyUKVMICwsjMDAQR0dH2rdvz7Rp01iyZAkAsbGxHD9+nFWrVtGoUSOaNm3KsmXL2L17t7rqOjg4mG+//VZdrXv48GGOHz/OgAEDiv1cCxcuZNCgQQwYMIDatWszceLEIjecMzU1pW/fvjqJ6BUrVmBvb68mH6dPn06fPn2YMmUKdevWxd3dnXHjxgEPVz1HRkby3Xff0bJlS5ycnBg1ahSvv/66zpg5OTl88cUXeHl54eLiwqVLl0o8x4+7desW6enpVK1atdjzky8sLIw+ffpQp04dDA0N8fDwYPjw4fTr109tY2tri5OTU4nH3rRpEz4+PhgZGRW7z8KFC3F1daV69eoYGRnh6+vL559/TqtWrdQ2VapUwd7evtAx1q5dy4EDBwp8XvLn58KFCyV8kuKNXxwzZszAyspKfeXXVxZCCCGEEEIIIV4lkhAW/2nJycnk5OTo1GY1NDTE09OTU6dO6e1z9OhRoqKi1Lqi5ubm+Pj4kJeXx/nz5zl16hRly5aladOmah8bGxtcXFzUMT09PXFzcyM6Ohp4mJx0cHDQSYw9ys3NTb3Xo6s7n8TNzU2n7mmVKlW4evUqQLHi1PfsU6dO1Xn2wYMHk5aWRlZWFqdOnaJGjRo6iTBXV1esra3VMbt27YqBgQEbNmwAHpZaaNOmTaGrVB+913vvvQfA6dOndVbvAgWOHzd48GC2b9/OpUuX1PsGBQWh0WgASExMpG3btnr7Hj9+nNzcXGrXrq0Tz+7du0lOTlbbGRkZUb9+ffX4aeb4cXfv3gXAxMSkWO0ftXbtWlauXMmqVas4fPgw0dHRhIeHq587eLjy+Wk2I9y0aVOhdX8Ls3DhQn777TdiYmI4dOgQc+bMYejQoezcuVNtM2PGDJYtW6a3/65duxgwYABff/01bm5uOtdMTU2Bh6u0n1ZR4xfHuHHjSE9PV18XL1586liEEEIIIYQQQogXRTaVE6KEMjMzGTJkiN5Nuezt7YtdHzY4OJjPP/+csLAwIiMjGTBggJqcfNzWrVvVEgP5ia/iMDQ01DnWaDQlqtP7uMzMTKZMmaJ307DiJiyNjIwICAggMjKS7t27s2rVKhYsWFBo+8TERPXflpaWJY45n4eHB+7u7ixbtowOHTpw8uRJtmz5v411iprXzMxMDAwMOHToUIGNxR7dyM/U1LTQ9/Bp2djYoNFouHnzZon7jh49Wl0lDFCvXj0uXLjAjBkzCAwMfOqY0tLSOHLkCJ07F38jm7t37/K///2PDRs2qP3q169PYmIi4eHhtGvXrsj+u3fvxs/Pj3nz5hEQEFDgen6Jl4oVK5bgSYo/fnEYGxsXWs9ZCCGEEEIIIYR4VUhCWPynOTk5YWRkREJCAg4ODsDDr/0fOHCA4cOH6+3TsGFDkpKSqFWrlt7rdevW5cGDB+zbtw8vLy8Arl+/zunTp3F1dVXbvfPOO4wZM4aIiAiSkpKKTNDlx/Y8FTfORzVs2JDTp08X+ewXL17k4sWL6irhpKQkbt26pTNmcHAwr732Gl988QUPHjzQm2DOp+9eLi4uHDhwQCdx96SNAPPvO3/+fC5dukS7du10VjLXr1+f2NhYvaUCPDw8yM3N5erVq7Rs2fKJ98n3NHP8OCMjI1xdXUlKStKptVscWVlZBeoyGxgYPNMfBeDh5nteXl4lqrObk5NDTk7OU8UTFxdHly5dmDVrFu+++67eNidOnMDQ0PCpVvYWZ3whhBBCCCGEEOLfQhLC4j/NzMyM999/n9GjR1OhQgXs7e357LPPyMrKYtCgQXr7jB07lmbNmhESEkJwcDBmZmYkJSWxY8cOFi1ahLOzM/7+/gwePJglS5ZgYWFBWFgY1apVw9/fXx2nfPnydO/endGjR9OhQweqV6/+sh4boNhxPmrixIl06dIFe3t7evbsSZkyZTh69CgnTpzgk08+oV27dtSrV49+/foxf/58Hjx4wAcffIC3t7fOpmh169alWbNmjB07loEDB5Zo1TPAhx9+yODBg2ncuDFeXl6sWbOGY8eO4ejoWGS/vn37MmrUKL7++usCZQkmTZpE27ZtcXJyok+fPjx48ICtW7cyduxYateuTb9+/QgICGDOnDl4eHjw999/ExsbS/369QtdKfs0c6yPj48P8fHxOn+kuH//PklJSeq/L126RGJiIubm5moS3c/Pj+nTp2Nvb4+bmxtHjhxh7ty5OrWqFy1axIYNG3TKRpw7d47MzEwuX77M3bt31VXarq6uGBkZERMTU6BcRGZmJufOnVOPz58/T2JiovpzZWlpibe3N6NHj8bU1BQHBwd2797NsmXLmDt3rtpv3LhxXLp0SX1/du3aRZcuXRg2bBg9evTg8uXLwMNE+aMJ6T179tCyZcsSf5aKO74QQvxbpMws/rc7hBBCCCHEv5QixH/c3bt3lQ8//FCxtbVVjI2NlRYtWij79+9Xr+/atUsBlJs3b6rn9u/fr7Rv314xNzdXzMzMlPr16yvTp09Xr9+4cUPp37+/YmVlpZiamio+Pj7KmTNnCtw7NjZWAZS1a9fqnD9//rwCKEeOHCk07sjISMXKyko9njRpkuLu7q4eBwYGKv7+/jp9hg0bpnh7exc7zsfvoSiKsm3bNsXLy0sxNTVVLC0tFU9PT+Wrr75Sr1+4cEF58803FTMzM8XCwkLp1auXcvny5QLxL126VAF05lpR9M+3PlOnTlVsbW0Vc3NzZeDAgUpoaKjSrFmzIp9fURSlf//+SoUKFZR79+4VuLZu3TqlQYMGipGRkWJra6t0795dvXb//n1l4sSJilarVQwNDZUqVaoo3bp1U44dO1boXCnK083x406ePKmYmpoqt27dUs/lf0Yefz36/mZkZCjDhg1T7O3tFRMTE8XR0VH5+OOPlezsbLXNpEmTFAcHB537eXt76x37/PnzSmZmpmJiYqKcPXtWp0/++/b4KzAwUG2TlpamBAUFKVWrVlVMTEwUFxcXZc6cOUpeXp7aJjAwUOcZAgMDn/iciqIoLi4uyrffflvkPDo4OCjz5s3TOVfc8QvrX5T09HQFUNLT04vdRwghhBBCCCGEeFrF/T1UoyiK8uLTzkIIfZYvX86IESP466+/MDIyKu1wXqpp06bx3XffcezYsecyXvv27bGzs2P58uVFtmvbti1ubm5EREQ8l/u+LL169aJhw4aMGzeuVONYv34948ePV1cnvwp+/PFHPvroI44dO0bZsoV/8UWr1TJ8+PBCy8E8SUn7Z2RkYGVlRXp6+jPVvxZCCCGEEEIIIYqjuL+Hlin0ihDihcnKyiI5OZmZM2cyZMiQ/1QyODMzkxMnTrBo0SI+/PDDpxojKyuLuXPncvLkSX7//XcmTZrEzp07i6zDfPPmTTZs2EBcXBxDhw592vBLzezZs3U2sCst5ubmzJo1q7TD0HHnzh0iIyOLTAbnGzt2LObm5qSnpxd7/E8//RRzc3NSU1OfJUwhhBBCCCGEEOKVICuEhSgFkydPZvr06bRq1YpNmza9Eom+lyUoKIhvv/2Wrl27smrVKgwMDEo8xt27d/Hz8+PIkSPcu3cPFxcXxo8fX+TmdFqtlps3bzJhwgRGjRr1LI8g/qEuXLhATk4OAI6OjgU2uCvMjRs3uHHjBgAVK1bEysqqWP1khbAQQgghhBBCiJdJVggL8ZzExcWh0Wi4devWcxtz8uTJ5OTkEBsbqzcZnJKSgkajUTfz0icqKgpra2udMRs0aPDcYtR3j+c1ZnZ2NmvWrNGbDC7OfJuamrJz506uX7/OnTt3OHz4cIFkcFBQEF27dlWPU1JSSE9Pf+WSwcWd46VLl9KhQ4cXH9A/UFhYWLFWm3t7e+Ps7IyzszMZGRnFHj8mJkbtN2nSpGcJVQghhBBCCCGEKHVP/n6tEOIfYdSoUU9dgkG82u7du8eECRP47rvv1HMnT55k4sSJHDp0iAsXLjBv3rwCtW1zc3OZPHkyK1as4PLly1StWpWgoCDGjx+PRqMp9H6hoaEkJCRw4sQJ6tatW+gfJnbv3s0777zDxYsX+eWXX5g9ezaHDh0iLS2NDRs26CTk4WG5kLCwMDZu3Mj169epWbMmoaGhvPfee4XGEhcXx7x589i/fz8ZGRk4OzszevRo+vXrp7YZNWoUjo6OjBgxAkdHx8InEpg6dSqDBw9WV/neu3eP9957j0OHDnHq1Cm6dOnCxo0bdfq89dZb+Pr6FrkCXQgh/im0YVtKOwRRQikzO5d2CEIIIYT4l5EVwkL8S5ibm2NjY1PaYYj/X25uLnl5ec9lrO+//x5LS0tatGihnsvKysLR0ZGZM2diZ2ent9+sWbNYvHgxixYt4tSpU8yaNYvPPvuMhQsXPvGeAwcO5K233iqyzaZNm/Dz8wMe1vF1d3fn888/L7T9yJEj2bZtGytWrODUqVMMHz6ckJAQYmJiCu3z66+/Ur9+fdatW8exY8cYMGAAAQEBbN68WW1ja2uLj48PixcvfuJzWVhYYGdnpybEc3NzMTU1JTQ0lHbt2untY2pqip2d3X+q1rcQQgghhBBCiH8vSQiL/7zs7GxCQ0OpVKkSJiYmvP766xw4cKDIPvHx8bRs2RJTU1Nq1KhBaGgod+7cUa/fvHmTgIAAypcvT7ly5ejYsSNnz54FHibOLC0t+f7773XG3LhxI2ZmZty+ffupnuPxkhH5JRPCw8OpUqUKNjY2DB06VK2h+qQ4C7Np0yYaNmyIiYkJjo6OTJkyhQcPHqjXU1NT8ff3x9zcHEtLS3r37s2VK1eAh2UbypQpw8GDB3XGnD9/Pg4ODiVKoH7yySdUqlQJCwsLgoODCQsLK7RkxrJly7CxsSE7O1vnfNeuXenfv796/MMPP9CkSRNMTEywtbWlW7du6rXs7GxGjRpFtWrVMDMzo2nTpsTFxanX80s/xMTE4OrqirGxMampqU81x49bvXq1mnjN16RJE2bPnk2fPn0wNjbW2+/XX3/F39+fzp07o9Vq6dmzJx06dGD//v1F3i8iIoKhQ4c+cbVtTEwMb775JgAdO3bkk08+0ZkzffEEBgbSunVrtFot7777Lu7u7kXG87///Y9p06bh5eWFk5MTw4YNw9fXl/Xr1+u08/PzY/Xq1UXGq4+ZmRmLFy9m8ODBhSbWhRBCCCGEEEKIfxNJCIv/vDFjxrBu3Tqio6M5fPgwtWrVwsfHR91E6nHJycn4+vrSo0cPjh07xpo1a4iPjyckJERtExQUxMGDB4mJiWHv3r0oikKnTp3IycnBzMyMPn36EBkZqTNuZGQkPXv2xMLC4rk9265du0hOTmbXrl1ER0cTFRVFVFRUseLUZ8+ePQQEBDBs2DCSkpJYsmQJUVFRTJ8+HYC8vDz8/f25ceMGu3fvZseOHfzxxx/qSlOtVku7du30PntQUFCxN/lauXIl06dPZ9asWRw6dAh7e/siV4f26tWL3NxcnZWoV69eZcuWLQwcOBCALVu20K1bNzp16sSRI0eIjY3F09NTbR8SEsLevXtZvXo1x44do1evXvj6+uokd7Oyspg1axbffPMNJ0+epFKlSiWeY33i4+Np3Lhxsdvn8/LyIjY2ljNnzgBw9OhR4uPj6dixo9pm8uTJaLXaEo998uRJrl69yhtvvFGieGJiYrh06RKKorBr1y7OnDmjUxs5KCiI1q1bFzlOeno6FSpU0Dnn6enJn3/+SUpKSkke47nKzs4mIyND5yWEEEIIIYQQQrxqJCEs/tPu3LnD4sWLmT17Nh07dsTV1ZWvv/4aU1NTli5dqrfPjBkz6NevH8OHD8fZ2RkvLy8iIiJYtmwZ9+7d4+zZs8TExPDNN9/QsmVL3N3dWblyJZcuXVJrkwYHB/PTTz+RlpYGPExObt26VU1OPi/ly5dn0aJF1KlThy5dutC5c2diY2MBihXn46ZMmUJYWBiBgYE4OjrSvn17pk2bxpIlSwCIjY3l+PHjrFq1ikaNGtG0aVOWLVvG7t271VXXwcHBfPvtt+pq3cOHD3P8+HEGDBhQ7OdauHAhgwYNYsCAAdSuXZuJEydSr169QtubmprSt29fnUT0ihUrsLe3V5OP06dPp0+fPkyZMoW6devi7u7OuHHjgIerniMjI/nuu+9o2bIlTk5OjBo1itdff11nzJycHL744gu8vLxwcXHh0qVLJZ7jx926dYv09HSqVq1a7PnJFxYWRp8+fahTpw6GhoZ4eHgwfPhwnfq7tra2ODk5lXjsTZs24ePjU6IyCgsXLsTV1ZXq1atjZGSEr68vn3/+Oa1atVLbVKlSBXt7+0LHWLt2LQcOHCjwecmfnwsXLpTwSZ6fGTNmYGVlpb5q1KhRarEIIYQQQgghhBCFkYSw+E9LTk4mJydHpzaroaEhnp6enDp1Sm+fo0ePEhUVhbm5ufry8fEhLy+P8+fPc+rUKcqWLUvTpk3VPjY2Nri4uKhjenp64ubmRnR0NPAwOeng4KCTGHuUm5ubeq9HV3c+iZubGwYGBupxlSpVuHr1KkCx4tT37FOnTtV59sGDB5OWlkZWVhanTp2iRo0aOokwV1dXrK2t1TG7du2KgYEBGzZsAB6WWmjTpk2hq1QfvVf+5mOnT5/WWb0LFDh+3ODBg9m+fTuXLl1S7xsUFKTWkk1MTKRt27Z6+x4/fpzc3Fxq166tE8/u3btJTk5W2xkZGVG/fn31+Gnm+HF3794FwMTEpFjtH7V27VpWrlzJqlWrOHz4MNHR0YSHh6ufO3i48jn/jwQlsWnTJrVcRHEtXLiQ3377jZiYGA4dOsScOXMYOnQoO3fuVNvMmDGDZcuW6e2/a9cuBgwYwNdff42bm5vONVNTU+DhKu3SMm7cONLT09XXxYsXSy0WIYQQQgghhBCiMGVLOwAh/mkyMzMZMmQIoaGhBa7Z29sXuz5scHAwn3/+OWFhYURGRjJgwAA1Ofm4rVu3qiUG8hNfxWFoaKhzrNFonmmjs8zMTKZMmUL37t0LXCtuwtLIyIiAgAAiIyPp3r07q1atYsGCBYW2T0xMVP9taWlZ4pjzeXh44O7uzrJly+jQoQMnT55ky5b/22m9qHnNzMzEwMCAQ4cO6STY4WHC+tExCnsPn5aNjQ0ajYabN2+WuO/o0aPVVcIA9erV48KFC8yYMYPAwMCnjiktLY0jR47QuXPxdz2/e/cu//vf/9iwYYPar379+iQmJhIeHl7ohm75du/ejZ+fH/PmzSMgIKDA9fwSLxUrVizBkzxfxsbGhdZzFkIIIYQQQgghXhWSEBb/aU5OThgZGZGQkICDgwPw8Gv/Bw4cYPjw4Xr7NGzYkKSkJGrVqqX3et26dXnw4AH79u3Dy8sLgOvXr3P69GlcXV3Vdu+88w5jxowhIiKCpKSkIhN0+bE9T8WN81ENGzbk9OnTRT77xYsXuXjxorpKOCkpiVu3bumMGRwczGuvvcYXX3zBgwcP9CaY8+m7l4uLCwcOHNBJDD5pI8D8+86fP59Lly7Rrl07nZXM9evXJzY2Vm/pCg8PD3Jzc7l69SotW7Z84n3yPc0cP87IyAhXV1eSkpJ0au0WR1ZWVoG6zAYGBs/0RwF4uPmel5dXgTq+RcnJySEnJ+ep4omLi6NLly7MmjWLd999V2+bEydOYGhoWGDlsBBCCF0pM4v/xzwhhBBCCPHvJCUjxH+amZkZ77//PqNHj2bbtm0kJSUxePBgsrKyGDRokN4+Y8eO5ddffyUkJITExETOnj3Lpk2b1E3lnJ2d8ff3Z/DgwcTHx3P06FHeeecdqlWrhr+/vzpO+fLl6d69O6NHj6ZDhw5Ur179pTxzvuLG+aiJEyeybNkypkyZwsmTJzl16hSrV69m/PjxALRr14569erRr18/Dh8+zP79+wkICMDb21tnU7S6devSrFkzxo4dy9tvv12iVc8AH374IUuXLiU6OpqzZ8/yySefcOzYsSeuzu3bty9//vknX3/9dYF6zZMmTeLbb79l0qRJnDp1iuPHjzNr1iwAateuTb9+/QgICGD9+vWcP3+e/fv3M2PGDJ1Vxo97mjnWx8fHh/j4eJ1z9+/fJzExkcTERO7fv8+lS5dITEzk3Llzahs/Pz+mT5/Oli1bSElJYcOGDcydO5du3bqpbRYtWlSgVMa5c+dITEzk8uXL3L17V+c+ADExMQXKRWRmZqrtAM6fP09iYiKpqanAw9Xd3t7ejB49mri4OM6fP09UVBTLli3TiWfcuHE6if5du3bRuXNnQkND6dGjB5cvX+by5csFNn3cs2cPLVu2LPFnCR7+0SIxMZEbN26Qnp6u8xxCCCGEEEIIIcS/jiLEf9zdu3eVDz/8ULG1tVWMjY2VFi1aKPv371ev79q1SwGUmzdvquf279+vtG/fXjE3N1fMzMyU+vXrK9OnT1ev37hxQ+nfv79iZWWlmJqaKj4+PsqZM2cK3Ds2NlYBlLVr1+qcP3/+vAIoR44cKTTuyMhIxcrKSj2eNGmS4u7urh4HBgYq/v7+On2GDRumeHt7FzvOx++hKIqybds2xcvLSzE1NVUsLS0VT09P5auvvlKvX7hwQXnzzTcVMzMzxcLCQunVq5dy+fLlAvEvXbpUAXTmWlH0z7c+U6dOVWxtbRVzc3Nl4MCBSmhoqNKsWbMin19RFKV///5KhQoVlHv37hW4tm7dOqVBgwaKkZGRYmtrq3Tv3l29dv/+fWXixImKVqtVDA0NlSpVqijdunVTjh07VuhcKcrTzfHjTp48qZiamiq3bt1Sz+V/Rh5/Pfr+ZmRkKMOGDVPs7e0VExMTxdHRUfn444+V7Oxstc2kSZMUBwcHnft5e3vrHfv8+fNKZmamYmJiopw9e1anT/779vgrMDBQbZOWlqYEBQUpVatWVUxMTBQXFxdlzpw5Sl5entomMDBQ5xkCAwOf+JyKoiguLi7Kt99+W+Q8Ojg4KPPmzdN7Xt89Huft7a0MGzasyHs8Kj09XQGU9PT0YvcRQgghhBBCCCGeVnF/D9UoiqK8+LSzEEKf5cuXM2LECP766y+MjIxKO5yXatq0aXz33XccO3bsuYzXvn177OzsWL58eZHt2rZti5ubGxEREc/lvi9Lr169aNiwIePGjSvVONavX8/48eNJSkoq1Tge9eOPP/LRRx9x7NgxypYtvBKSVqtl+PDhhZaDeZLWrVvToEED5s+fX6z2GRkZWFlZkZ6e/kz1r4UQQgghhBBCiOIo7u+hUjJCiFKQlZVFcnIyM2fOZMiQIf+pZHBmZiYnTpxg0aJFfPjhh081RlZWFnPnzuXkyZP8/vvvTJo0iZ07dxZZh/nmzZts2LCBuLg4hg4d+rThl5rZs2frbGBXWszNzdVSGq+KO3fuEBkZWWQyON/YsWMxNzcnPT292OOvXLkSc3Nz9uzZ8yxhCiGEEEIIIYQQrwRJCAtRCj777DPq1KmDnZ1dqa/4fNlCQkJo1KgRrVu3LlDHt7g0Gg1bt26lVatWNGrUiB9++IF169bRrl27Am3j4uLQaDS4u7sTFBTErFmzcHFxedbHKFJKSgoajea51qHVarVPlUBv3br1E1fERkVFYW1tXazxOnTogJ+fX4njyHf69Gns7Oy4ffv2U4/xuJ49e9K0adMnttu9ezcnT54kMTERCwuLYo9vampKjRo1OHXqlFovWwghhBBCCCGE+KeShLAQpWDy5Mnk5OQQGxv7Sqz6fJmioqLIzs5mzZo1GBgYPNUYpqam7Ny5k+vXr3Pnzh0OHz5M9+7di+xz7Ngx0tPTGTVq1FPd859q/fr1TJs2TT3WarUFSh689dZbnDlz5qXEM27cOD788EOdhKyiKHz11Vc0bdoUc3NzrK2tady4MfPnzycrKwuAkydP0qNHD7RaLRqNRm/ZhtzcXCZMmEDNmjUxNTXFycmJadOmkV8ZycHBgVq1alGrVi3KlPm///2FhobSqFEjjI2NadCgQYFxu3fvjrm5Ofv27cPW1vb5TogQQgghhBBCCPGSPfn7tUIIIV45OTk5GBoaPrFdhQoVntjG1NQUU1PT5xFWkVJTU9m8eTMLFy7UOd+/f3+1NvGiRYuoWLEiR48eZf78+Wi1Wrp27UpWVhaOjo706tWLESNG6B1/1qxZLF68mOjoaNzc3Dh48CADBgzAysqK0NDQImMbOHAg+/btK7SmdVBQEBEREfTv3//pHl4IIV4R2rAtpR2CEKUuZWbn0g5BCCGEKFWyQlgI8Y+WnZ1NaGgolSpVwsTEhNdff50DBw4U2Sc+Pp6WLVuqpQBCQ0O5c+eOev3mzZsEBARQvnx5ypUrR8eOHTl79izwsF6tpaUl33//vc6YGzduxMzMrNBSCCdPnqRLly5YWlpiYWFBy5YtSU5OBuDAgQO0b98eW1tbrKys8Pb25vDhwzr9NRoNixcv5s0338TMzIzp06czefJkGjRowPLly9FqtVhZWdGnTx+dGB4tGdG6dWsuXLjAiBEj0Gg0aDQaoGDJiOKMm5eXx4wZM9TVuO7u7gXm5HFr167F3d2datWq6ZxbuXIl3377Lf/73/9o0qQJWq0Wf39/fv75Z9q0aQNAkyZNmD17Nn369MHY2Fjv+L/++iv+/v507twZrVZLz5496dChA/v37y8yroiICIYOHYqjo2Ohbfz8/Dh48KD6ngkhhBBCCCGEEP9UkhAWQvyjjRkzhnXr1hEdHc3hw4epVasWPj4+3LhxQ2/75ORkfH196dGjB8eOHWPNmjXEx8cTEhKitgkKCuLgwYPExMSwd+9eFEWhU6dO5OTkYGZmRp8+fYiMjNQZNzIykp49e+qtTXvp0iVatWqFsbExP//8M4cOHWLgwIE8ePAAgNu3bxMYGEh8fDy//fYbzs7OdOrUqUByefLkyXTr1o3jx4+r9ZeTk5PZuHEjmzdvZvPmzezevZuZM2fqffb169dTvXp1pk6dSlpaGmlpaYXO65PGnTFjBsuWLePLL7/k5MmTjBgxgnfeeYfdu3cXOuaePXto3LixzrmVK1fi4uKCv79/gfYajQYrK6tCx3ucl5cXsbGxavmLo0ePEh8fT8eOHdU2kydPRqvVFnvMfPb29lSuXFk2lhNCCCGEEEII8Y8nJSOEEP9Yd+7cYfHixURFRalJv6+//podO3awdOlSRo8eXaDPjBkz6Nevn7pq1tnZmYiICLy9vVm8eDEXL14kJiaGhIQEvLy8gIdJyxo1arBx40Z69epFcHAwXl5epKWlUaVKFa5evcrWrVvZuXOn3jg///xzrKysWL16tVrmoXbt2ur1N954Q6f9V199hbW1Nbt376ZLly7q+b59+zJgwACdtnl5eURFRamJ6P79+xMbG8v06dMLxFGhQgUMDAywsLDAzs6uyLktatzs7Gw+/fRTdu7cSfPmzQFwdHQkPj6eJUuW4O3trXfMCxcuFEgInz179rlt8hcWFkZGRgZ16tTBwMCA3Nxcpk+fTr9+/dQ2tra2ODk5PdX4VatW5cKFC4Vez87OJjs7Wz3OyMh4qvsIIYQQQgghhBAvkqwQFkL8YyUnJ5OTk0OLFi3Uc4aGhnh6enLq1Cm9fY4ePUpUVBTm5ubqy8fHh7y8PM6fP8+pU6coW7YsTZs2VfvY2Njg4uKijunp6YmbmxvR0dEArFixAgcHB1q1aqX3nomJibRs2bLQmr9Xrlxh8ODBODs7Y2VlhaWlJZmZmaSmpuq0ezyZCg83iXt0VXJ+gvpZFTXuuXPnyMrKon379jrzuGzZsiJLKty9excTExOdc/kbvj0P+eUnVq1axeHDh4mOjiY8PFx9nwBCQkKIjY19qvFNTU3VTe70mTFjBlZWVuqrRo0aT3UfIYQQQgghhBDiRZIVwkKI/5TMzEyGDBmid5Mxe3t7tVbwkwQHB/P5558TFhZGZGQkAwYMUGvyPu5JG7YFBgZy/fp1FixYgIODA8bGxjRv3pz79+/rtDMzMyvQ9/Eks0ajIS8vr1jPUJSixs3MzARgy5YtOvWAgULr+8LD1bk3b97UOVe7dm1+//33Z44XYPTo0YSFhdGnTx8A6tWrx4ULF5gxYwaBgYHPPP6NGzeoWLFiodfHjRvHyJEj1eOMjAxJCgshhBBCCCGEeOXICmEhxD+Wk5MTRkZGJCQkqOdycnI4cOAArq6uevs0bNiQpKQkatWqVeBlZGRE3bp1efDgAfv27VP7XL9+ndOnT+uM+c4773DhwgUiIiJISkoqMuFYv3599uzZQ05Ojt7rCQkJhIaG0qlTJ9zc3DA2NubatWslnY5iMTIyIjc395nGcHV1xdjYmNTU1AJzWFQC1MPDg6SkJJ1zffv25cyZM2zatKlAe0VRSE9PL3ZcWVlZlCmj+781AwOD55Igv3fvHsnJyXh4eBTaxtjYGEtLS52XEEIIIYQQQgjxqpEVwkKIfywzMzPef/99Ro8eTYUKFbC3t+ezzz4jKyuLQYMG6e0zduxYmjVrRkhICMHBwZiZmZGUlMSOHTtYtGgRzs7O+Pv7M3jwYJYsWYKFhQVhYWFUq1ZNZ+Oz8uXL0717d0aPHk2HDh2oXr16oXGGhISwcOFC+vTpw7hx47CysuK3337D09MTFxcXnJ2dWb58OY0bNyYjI4PRo0c/cVXx09Jqtfzyyy/06dMHY2NjbG1tSzyGhYUFo0aNYsSIEeTl5fH666+Tnp5OQkIClpaWhSbHfXx8CA4OJjc3FwMDAwB69+7Nhg0bePvttxk/fjwdOnSgYsWKHD9+nHnz5vHhhx/StWtX7t+/ryaT79+/z6VLl0hMTMTc3JxatWoB4Ofnx/Tp07G3t8fNzY0jR44wd+5cdQM+gEWLFrFhwwadshHnzp0jMzOTy5cvc/fuXRITE4GHiW8jIyMAfvvtN3XlthBC/JOlzOxc2iEIIYQQQohSJiuEhRD/aDNnzqRHjx7079+fhg0bcu7cOX766SfKly+vt339+vXZvXs3Z86coWXLlnh4eDBx4kSqVq2qtomMjKRRo0Z06dKF5s2boygKW7duLVBGYdCgQdy/f18n4aiPjY0NP//8M5mZmXh7e9OoUSO+/vprdbylS5dy8+ZNGjZsSP/+/QkNDaVSpUrPODP6TZ06lZSUFJycnIosf/Ak06ZNY8KECcyYMYO6devi6+vLli1bqFmzZqF9OnbsSNmyZXU239NoNKxatYq5c+eyceNGvL29qV+/PpMnT8bf3x8fHx8A/vrrLzw8PPDw8CAtLY3w8HA8PDwIDg5Wx1q4cCE9e/bkgw8+oG7duowaNYohQ4Ywbdo0tc21a9cK1DkODg7Gw8ODJUuWcObMGfU+f/31l9rm22+/pV+/fpQrV+6p50wIIYQQQgghhHgVaJTnuaOPEEL8hyxfvpwRI0bw119/qStJRdE+//xzYmJi+Omnn0o7lGK7du0aLi4uHDx4sMiE9+MyMjKwsrIiPT1dykcIIYQQQgghhHjhivt7qJSMEEKIEsrKyiItLY2ZM2cyZMgQSQaXwJAhQ7h16xa3b9/GwsKitMMplpSUFL744osSJYOFEEIIIYQQQohXlawQFkKIEpo8eTLTp0+nVatWbNq0CXNz89IOSbyCZIWwEEIIIYQQQoiXqbi/h0oNYfFKiIuLQ6PRcOvWrZd2z5SUFDQajbqB1KumdevWDB8+vMg2Go2GjRs3Fnr9VX3G5/V+BwUF0bVr1+cSU0lMnjyZnJwcYmNji5UMjoqKwtra+ontli5dSocOHZ5DhP8+zZo1Y926dUW2yf+8azQaGjRoUKLxg4KC1L5F/UwJIYQQQgghhBD/dJIQFuIfLC0tjY4dO5Z2GOI5uHfvHhMmTGDSpEnquZMnT9KjRw+0Wi0ajYb58+cX6Jebm8uECROoWbMmpqamODk5MW3aNJ705Y/Q0FAaNWqEsbFxkcnT3bt3U6NGDQBmzJhBkyZNsLCwoFKlSnTt2pXTp08XeI6hQ4diY2ODubk5PXr04MqVK8Weh9WrV6PRaAok+sePH09YWBh5eXlPHGPnzp3Exsaqx8WZxwULFpCWlqZ3vKioKKKioor9DEIIIYQQQgghxKtMEsJCPGf3799/afeys7PD2Nj4pd1P6MrNzS1WgrI4vv/+eywtLWnRooV6LisrC0dHR2bOnImdnZ3efrNmzWLx4sUsWrSIU6dOMWvWLD777DMWLlz4xHsOHDiQt956q8g2mzZtws/PD3iYHB46dCi//fYbO3bsICcnhw4dOnDnzh21/YgRI/jhhx/47rvv2L17N3/99Rfdu3cvzhSQkpLCqFGjaNmyZYFrHTt25Pbt2/z4449PHMfGxgYbGxv1uDjzaGVlVeDavHnzuH37tnp8+/Zt5s2bV6xnEUKI0qQN21LoSwghhBBCCEkIi5ciOzub0NBQKlWqhImJCa+//joHDhwosk98fDwtW7bE1NSUGjVqEBoaqpN4unnzJgEBAZQvX55y5crRsWNHzp49C8CdO3ewtLTk+++/1xlz48aNmJmZ6SR5inL9+nXefvttqlWrRrly5ahXrx7ffvutTpvWrVsTEhLC8OHDsbW1xcfHB4C5c+dSr149zMzMqFGjBh988AGZmZk6fRMSEmjdujXlypWjfPny+Pj4cPPmTfV6Xl4eY8aMoUKFCtjZ2TF58mSd/o9/vX3//v14eHhgYmJC48aNOXLkSIFn2r17N56enhgbG1OlShXCwsJ48OCBzvOEhoYWed/U1FT8/f0xNzfH0tKS3r17q6tAU1JSKFOmDAcPHtTpM3/+fBwcHEqUQP3kk0+oVKkSFhYWBAcHExYWVuhq1mXLlmFjY0N2drbO+a5du9K/f3/1+IcffqBJkyaYmJhga2tLt27d1GvZ2dmMGjWKatWqYWZmRtOmTYmLi1Ov55d+iImJwdXVFWNjY1JTU4v8LBbX6tWr1cRrviZNmjB79mz69OlTaOL/119/xd/fn86dO6PVaunZsycdOnRg//79Rd4vIiKCoUOH4ujoWGS7mJgY3nzzTQC2bdtGUFAQbm5uuLu7ExUVRWpqKocOHQIgPT2dpUuXMnfuXN544w0aNWpEZGQkv/76K7/99luR98nNzaVfv35MmTJFb0wGBgZ06tSJ1atXFzmOPsWZR33Kly9P+/btiY+PJz4+nvbt21O+fPkS318IIYQQQgghhHiVSEJYvBRjxoxh3bp1REdHc/jwYWrVqoWPjw83btzQ2z45ORlfX1969OjBsWPHWLNmDfHx8YSEhKhtgoKCOHjwIDExMezduxdFUejUqRM5OTmYmZnRp08fIiMjdcaNjIykZ8+eWFhYFCvue/fu0ahRI7Zs2cKJEyd499136d+/f4FkW3R0NEZGRiQkJPDll18CUKZMGSIiIjh58iTR0dH8/PPPjBkzRu2TmJhI27ZtcXV1Ze/evcTHx+Pn50dubq7OuGZmZuzbt4/PPvuMqVOnsmPHDr2xZmZm0qVLF1xdXTl06BCTJ09m1KhROm0uXbpEp06daNKkCUePHmXx4sUsXbqUTz75pMDzFHbfvLw8/P39uXHjBrt372bHjh388ccf6kpTrVZLu3bt9M59UFAQZcoU7z87K1euZPr06cyaNYtDhw5hb2/P4sWLC23fq1cvcnNziYmJUc9dvXqVLVu2MHDgQAC2bNlCt27d6NSpE0eOHCE2NhZPT0+1fUhICHv37mX16tUcO3aMXr164evrq5PczcrKYtasWXzzzTecPHmSSpUqFflZLK74+HgaN25c7Pb5vLy8iI2N5cyZMwAcPXqU+Ph4nVIikydPRqvVlnjskydPcvXqVd544w2919PT0wGoUKECAIcOHSInJ4d27dqpberUqYO9vT179+5Vz2m12gJ/ZJg6dSqVKlVi0KBBhcbj6enJnj17SvwcTysoKIi1a9eyefNmNm/ezNq1awkKCnpp9xdCCCGEEEIIIV4IRYgXLDMzUzE0NFRWrlypnrt//75StWpV5bPPPlMURVF27dqlAMrNmzcVRVGUQYMGKe+++67OOHv27FHKlCmj3L17Vzlz5owCKAkJCer1a9euKaampsratWsVRVGUffv2KQYGBspff/2lKIqiXLlyRSlbtqwSFxenKIqinD9/XgGUI0eOlOh5OnfurHz00Ufqsbe3t+Lh4fHEft99951iY2OjHr/99ttKixYtCm3v7e2tvP766zrnmjRpoowdO1Y9BpQNGzYoiqIoS5YsUWxsbJS7d++q1xcvXqzzjP/73/8UFxcXJS8vT23z+eefK+bm5kpubm6x7rt9+3bFwMBASU1NVa+fPHlSAZT9+/criqIoa9asUcqXL6/cu3dPURRFOXTokKLRaJTz588rilLw/danadOmytChQ3XOtWjRQnF3d1ePAwMDFX9/f/X4/fffVzp27Kgez5kzR3F0dFSft3nz5kq/fv303u/ChQuKgYGBcunSJZ3zbdu2VcaNG6coiqJERkYqgJKYmKheL85nMTIyUrGysir0WW/evKkAyi+//FJoGwcHB2XevHkFzufm5ipjx45VNBqNUrZsWUWj0SiffvqpTpuFCxcqb7zxht5xJ02apDOnj5o+fbrSs2dPvddyc3OVzp0763yGV65cqRgZGRVo26RJE2XMmDHq8RtvvKEsXLhQPd6zZ49SrVo15e+//1YUpeD7mm/Tpk1KmTJl1M/q44rzM13YPOZ79Gdq+fLlStOmTZWBAwcqAwcOVJo2baosX7680L737t1T0tPT1dfFixcVQElPTy+0jxBCvAgOYzcX+hJCCCGEEP9e6enpxfo9VFYIixcuOTmZnJwcndqohoaGeHp6curUKb19jh49SlRUFObm5urLx8eHvLw8zp8/z6lTpyhbtixNmzZV+9jY2ODi4qKO6enpiZubG9HR0QCsWLECBwcHWrVqpfeebm5u6r3yV1fm5uYybdo06tWrR4UKFTA3N+enn34iNTVVp2+jRo0KjLdz507atm1LtWrVsLCwoH///ly/fp2srCzg/1YIF6V+/fo6x1WqVOHq1at62546dYr69etjYmKinmvevHmBNs2bN0ej0ajnWrRoQWZmJn/++Wex7nvq1Clq1KihbjQG4OrqirW1tTr3Xbt2xcDAgA0bNgAPSy20adOm0FWqj77P7733HgCnT5/WWb0LFDh+3ODBg9m+fTuXLl1S7xsUFKQ+b1Fzfvz4cXJzc6ldu7ZOPLt37yY5OVltZ2RkpDM/xfksPsndu3cBdN674lq7di0rV65k1apVHD58mOjoaMLDw9XPPTxc+fzoJmvFtWnTJrVcxOOGDh3KiRMnnqqEQ2xsrLra//bt2/Tv35+vv/4aW1vbIvuZmpqSl5dXoCzIi3L16lV27NhBy5YtadmyJTt27Cj05w8ebrpnZWWlvh79GRFCCCGEEEIIIV4VZUs7ACH0yczMZMiQIYSGhha4Zm9vX+z6rMHBwXz++eeEhYURGRnJgAEDdJKhj9q6dav6FX9TU1MAZs+ezYIFC5g/f75aD3j48OEFNo4zMzPTOU5JSaFLly68//77TJ8+nQoVKhAfH8+gQYO4f/8+5cqVU+9RFENDQ51jjUbz3DYxe5H3NTIyIiAggMjISLp3786qVatYsGBBoe0TExPVf1taWpY43nweHh64u7uzbNkyOnTowMmTJ9my5f820ClqzjMzMzEwMODQoUMYGBjoXDM3N9cZo7DP0NOysbFBo9Ho1I8urtGjRxMWFkafPn0AqFevHhcuXGDGjBkEBgY+dUxpaWkcOXKEzp07F7gWEhLC5s2b+eWXX6hevbp63s7Ojvv373Pr1i2sra3V81euXCl0M7fk5GRSUlJ06ifnf9bKli3L6dOncXJyAuDGjRuYmZkV62fneRg5cqTOsYWFRYFzjxo3bpzO9YyMDEkKCyGEEEIIIYR45cgKYfHCOTk5qfV18+Xk5HDgwAFcXV319mnYsCFJSUnUqlWrwMvIyIi6devy4MED9u3bp/a5fv06p0+f1hnznXfe4cKFC0RERJCUlFRkgszBwUG9R7Vq1YCHm775+/vzzjvv4O7ujqOjo1qrtSiHDh0iLy+POXPm0KxZM2rXrs1ff/2l06Z+/fpPtWqzMHXr1uXYsWPcu3dPPff4Rl5169ZVa9zmS0hIwMLCQiex96T7XLx4kYsXL6rnkpKSuHXrls7cBwcHs3PnTr744gsePHhA9+7dCx3z0fe3UqVKALi4uBTYePBJGxHm3zcqKorIyEjatWunk5Aras49PDzIzc3l6tWrBT5zhSUzgWJ/FotiZGSEq6srSUlJxWr//7F331FRXtvDx78jSi9iBQyISrEEEMQCWCOKDWswUaNiQY1BRYPt2sBesKDeqDGGYjTGnz12Y4JBNHasBJUEMYjRKKKIAsK8f7B4XkeKYAkmd3/WmrWc85xznv2cmXuz2Bz2eV5GRkaBusxaWlqv/YuD77//Hnd3d6U+MIBarcbf35/t27fz448/UqtWLY0xjRo1okKFChprHB8fT1JSUoHd6vnq1q3LxYsXiY2NVV5du3alTZs2xMbGanx+ly5dwtnZ+bWe61X4+vqWqHawjo4OxsbGGi8hhBBCCCGEEOJdIzuExVtnYGDAp59+yvjx46lUqRJWVlYsXLiQjIyMIg+QmjhxIs2aNcPf35+hQ4diYGDAlStXOHToECtXrsTW1pZu3brh5+fHmjVrMDIyYtKkSdSoUYNu3bop85iamtKzZ0/Gjx9P+/btS5z0zGdra8uWLVs4duwYpqamLFmyhD///POliT4bGxuys7NZsWIF3t7eGofN5Zs8eTIODg6MHDmSESNGoK2tzU8//YSPj89L/3S+MH379mXKlCn4+fkxefJkEhMTCQkJ0egzcuRIli1bxqhRo/D39yc+Pp4ZM2Ywbty4Eh/25unpiYODA/369WPZsmU8e/aMkSNH0qpVK41D0erVq0ezZs2YOHEigwcPLvWuzlGjRuHn54erqyvu7u589913XLhwgdq1a790HQIDA1m7di2RkZEa12bMmEHbtm2pU6cOH3/8Mc+ePWPv3r1MnDgROzs7+vXrx4ABA1i8eDHOzs7cvXuXw4cP4+joWOhOWaDE38WX8fLy4ujRowQEBChtWVlZSpI4KyuL5ORkYmNjMTQ0xMbGBgBvb2/mzJmDlZUVDRo04Ny5cyxZskQ5SA9g5cqVbN++XSNRe/36ddLT07l9+zZPnjxRdmnXr18fbW1tdu3aVaBcxGeffcbGjRvZuXMnRkZG3L59GwATExP09PQwMTFhyJAhjBs3jkqVKmFsbMyoUaNwc3OjWbNmyjxt27alR48e+Pv7o6ury/vvv69xn/zdxS+2R0dH0759+xKvaWnWUQgh/k0S5xf+3ywhhBBCCCEAOVRO/D2ePHmiHjVqlLpKlSpqHR0dtYeHh3IAmVpd+CFjJ0+eVLdr105taGioNjAwUDs6OqrnzJmjXL9//766f//+ahMTE7Wenp7ay8tLffXq1QL3Pnz4sBpQDvjKV5IDqO7du6fu1q2b2tDQUF2tWjX11KlT1QMGDNA48KpVq1bqMWPGFBi7ZMkStbm5uRJbZGRkgWeMiopSu7u7q3V0dNQVK1ZUe3l5KdcLm7dbt27qgQMHKu957gAstVqtPn78uNrJyUmtra2tbtiwoXrr1q0FnjEqKkrduHFjtba2ttrMzEw9ceJEdXZ2drHP8+J9b9y4oe7atavawMBAbWRkpPbx8VHfvn27wBqsW7dO47C5fCU5VE6tVqtnzpyprlKlitrQ0FA9ePBg9ejRo9XNmjVTrhd1+Fj//v3VlSpVUg61e97WrVvVDRs2VGtra6urVKmi7tmzp3ItKytLPX36dLW1tbW6QoUKanNzc3WPHj3UFy5cUKvVRR8O97Lv4ssOlVOr8w7m09PTUz948EBpy/+Ovvhq1aqV0ufhw4fqMWPGqK2srNS6urrq2rVrq6dMmaLOzMxU+syYMUNds2ZNjfu1atWq0Ll///13dXp6ulpXV1d97do1jTGF9QfUYWFhSp8nT56oR44cqTY1NVXr6+ure/TooU5JSdGYp2bNmuoZM2YUuRaFfa5//PGHukKFCuqbN28WOa6o/02XZB2ff8bn/zf1OkpazF8IIYQQQgghhHgTSvpzqEqtfu5vx4X4F1q/fj1jx47l1q1baGtrl3U4/1NmzZrF//3f/3HhwoU3Ml+7du0wMzNj/fr1xfZr27YtDRo0YPny5W/kvn8XHx8fXFxcmDx5cpnGsW3bNqZOnfpKJSzelokTJ5KamsqXX35ZZJ/ExERq1arFuXPnaNiw4SvdR6VSsX37drp37/5qgT7n4cOHmJiYkJaWJuUjhBBCCCGEEEK8dSX9OVRqCIt/rYyMDBISEpg/fz7Dhw+XZPDfKD09nUuXLrFy5UpGjRr1SnNkZGSwZMkSLl++zK+//sqMGTP44Ycfiq0DnZqayvbt24mKiuKzzz571fDLzKJFizQOsCsrhoaGLFiwoKzD0FCtWjVmzZpVor7u7u64u7uXav4RI0a8E2svhBBCCCGEEEK8bbJDWPxrBQUFMWfOHFq2bMnOnTsl2fM38vX15dtvv6V79+5s3LgRLS2tUs/x5MkTvL29OXfuHE+fPsXe3p6pU6cWezidtbU1qampTJs2jcDAwNd5BPEP9OzZMxITE4G8A96eP5DuZe7cucPDhw8BMDc3x8DA4LXjkR3CQgghhBBCCCH+TiX9OVQSwkII8RJRUVG0adOG1NRU5cCzt+1NlD8oirW1NQEBARoH2JWFv2tdS3Kf8PBwAgICePDgwRu7rySEhRBCCCGEEEL8naRkhBBC/I8LDw//2xLY7zJ3d3dSUlIwMTEp61CEEEIIIYQQQogyV76sAxBCCCHeJm1tbczMzMo6DCGEeCdYT9pT1iGIf4HE+Z3LOgQhhBBCvAbZISyE+J+XmZnJ6NGjqVatGrq6ujRv3pxTp04VO+bo0aO0aNECPT09LC0tGT16NI8fP1aup6amMmDAAExNTdHX16djx45cu3YNgMePH2NsbMyWLVs05tyxYwcGBgY8evSoxHEHBgZSo0YNDAwMaNq0KVFRUUBemYRBgwaRlpaGSqVCpVIRFBSkjM3IyGDw4MEYGRlhZWXFl19+qTH3xIkTsbOzQ19fn9q1azNt2jSys7OV60FBQTRs2JD169djbW2NiYkJH3/8sUbspV3Xe/fu0adPH2rUqIG+vj4ODg58++23Gn1at27NqFGjCAgIwNTUlOrVq7N27VoeP37MoEGDMDIywsbGhn379iljoqKiUKlUGuUgwsPDsbKyQl9fnx49enDv3r0C8ezcuRMXFxd0dXWpXbs2wcHBPHv2rNjPRAghhBBCCCGEeNdJQlgI8T9vwoQJbN26lYiICM6ePYuNjQ1eXl7cv3+/0P4JCQl06NCBXr16ceHCBb777juOHj2Kv7+/0sfX15fTp0+za9cujh8/jlqtplOnTmRnZ2NgYMDHH39MWFiYxrxhYWF8+OGHGBkZlShuf39/jh8/zqZNm7hw4QI+Pj506NCBa9eu4e7uzrJlyzA2NiYlJYWUlBSNg/YWL16Mq6sr586dY+TIkXz66afEx8cr142MjAgPD+fKlSuEhoaydu1ali5dWmAdduzYwe7du9m9ezdHjhxh/vz5r7yuT58+pVGjRuzZs4dLly4xbNgw+vfvz8mTJzX6RUREUKVKFU6ePMmoUaP49NNP8fHxwd3dnbNnz9K+fXv69+9PRkZGofc5ceIEQ4YMwd/fn9jYWNq0acPs2bM1+kRHRzNgwADGjBnDlStXWLNmDeHh4cyZM6dEn40QQgghhBBCCPGukkPlhBD/0x4/foypqSnh4eH07dsXgOzsbOXgtfHjxxc4lGzo0KFoaWmxZs0aZZ6jR4/SqlUrHj9+zM2bN7GzsyMmJgZ3d3cgb/erpaUlERER+Pj4cPLkSdzd3bl58ybm5ubcuXOHGjVq8MMPP9CqVauXHiqXlJRE7dq1SUpKwsLCQmn39PSkSZMmzJ07t8iD0qytrWnRogXr168HQK1WY2ZmRnBwMCNGjCh0nUJCQti0aROnT58G8nYIL1q0iNu3bysJ7AkTJvDzzz/zyy+/vNK6FqZLly7UrVuXkJAQIG+HcE5ODtHR0QDk5ORgYmJCz549iYyMBOD27duYm5tz/PhxmjVrVuA+ffv2JS0tjT17/v+fTX/88cfs379fWStPT0/atm3L5MmTlT7ffPMNEyZM4NatW4XGmpmZSWZmpvL+4cOHWFpayqFyQoh3ipSMEG+ClIwQQggh3k0lPVROaggLIf6nJSQkkJ2djYeHh9JWoUIFmjRpQlxcXKFjzp8/z4ULF9iwYYPSplaryc3N5ffff+fatWuUL1+epk2bKtcrV66Mvb29MmeTJk1o0KABERERTJo0iW+++YaaNWvSsmXLEsV98eJFcnJysLOz02jPzMykcuXKLx3v6Oio/FulUmFmZsadO3eUtu+++47ly5eTkJBAeno6z549K/AfE2tra43dzPmJbXi1dc3JyWHu3Lls3ryZ5ORksrKyyMzMRF9fv8jYtbS0qFy5Mg4ODkpb9erVATSe53lxcXH06NFDo83NzY39+/cr78+fP09MTIzGjuCcnByePn1KRkZGgZgA5s2bR3BwcKH3FEIIIYQQQggh3hWSEBZCiFJKT09n+PDhjB49usA1KysrpVbwywwdOpT//ve/TJo0ibCwMAYNGoRKpSpxDFpaWpw5cwYtLS2Na4aGhi8dX6FCBY33KpWK3NxcAI4fP06/fv0IDg7Gy8sLExMTNm3axOLFi0s8x6tYtGgRoaGhLFu2DAcHBwwMDAgICCArK+ul932+LX8NXyeW9PR0goOD6dmzZ4Frurq6hY6ZPHky48aNU97n7xAWQgghhBBCCCHeJZIQFkL8T6tTpw7a2trExMRQs2ZNIK+0walTpwgICCh0jIuLC1euXMHGxqbQ6/Xq1ePZs2ecOHFCo2REfHw89evXV/p98sknTJgwgeXLl3PlyhUGDhxY4ridnZ3Jycnhzp07tGjRotA+2tra5OTklHjOfMeOHaNmzZpMmTJFabtx40ap5niVdY2JiaFbt2588sknQF5C9+rVqxpr9ibUq1ePEydOaLT98ssvGu9dXFyIj48v8jMujI6ODjo6Om8kRiGEEEIIIYQQ4m2RhLAQ4n+agYEBn376KePHj6dSpUpYWVmxcOFCMjIyGDJkSKFjJk6cSLNmzfD392fo0KEYGBhw5coVDh06xMqVK7G1taVbt274+fmxZs0ajIyMmDRpEjVq1KBbt27KPKampvTs2ZPx48fTvn173nvvvRLHbWdnR79+/RgwYACLFy/G2dmZu3fvcvjwYRwdHencuTPW1takp6dz+PBhnJyc0NfXL7TUwYtsbW1JSkpi06ZNNG7cmD179rB9+/YSxwavtq62trZs2bKFY8eOYWpqypIlS/jzzz/feEJ49OjReHh4EBISQrdu3Thw4IBGuQiA6dOn06VLF6ysrPjwww8pV64c58+f59KlSwUOoBNCiH8Sqf0qhBBCCCHKlXUAQghR1ubPn0+vXr3o378/Li4uXL9+nQMHDmBqalpof0dHR44cOcLVq1dp0aIFzs7OTJ8+XeNwt7CwMBo1akSXLl1wc3NDrVazd+/eAuUOhgwZQlZWFoMHDy513GFhYQwYMIDPP/8ce3t7unfvzqlTp7CysgLA3d2dESNG8NFHH1G1alUWLlxYonm7du3K2LFj8ff3p2HDhhw7doxp06aVOr7SruvUqVNxcXHBy8uL1q1bY2ZmRvfu3Ut935dp1qwZa9euJTQ0FCcnJw4ePMjUqVM1+nh5ebF7924OHjxI48aNadasGUuXLlV2OwshhBBCCCGEEP9UKrVarS7rIIQQ4n/V+vXrGTt2LLdu3UJbW7uswxFvUElPdxVCCCGEEEIIId6Ekv4cKiUjhBCiDGRkZJCSksL8+fMZPny4JIOFEEIIIYQQQgjxt5CSEUIIUQYWLlxI3bp1MTMzY/LkyWUdjhBCCCGEEEIIIf5HSEJYCPGPFhUVhUql4sGDB2UdSqkEBQWRnZ3N4cOHMTQ0LOtw3jnTpk1j2LBhZR0GAKtXr8bb27uswxBCCCGEEEIIId4ISQgLIcQLXjfJfOPGDfT09EhPT3+zgb3DfH1939gBcLdv3yY0NJQpU6YobT///DPe3t5YWFigUqnYsWNHgXHp6en4+/vz3nvvoaenR/369Vm9enWx93r69Cm+vr44ODhQvnz5Qp9h8ODBnD17lujo6Nd9NCGEEEIIIYQQosxJDWEhhHjDdu7cSZs2bWTn7yv66quvcHd3p2bNmkrb48ePcXJyYvDgwfTs2bPQcePGjePHH3/km2++wdramoMHDzJy5EgsLCzo2rVroWNycnLQ09Nj9OjRbN26tdA+2tra9O3bl+XLl9OiRYvXf0AhhChD1pP2lHUI4m+QOL9zWYcghBBCiHeY7BAWQrzTMjMzGT16NNWqVUNXV5fmzZtz6tSpYsccPXqUFi1aoKenh6WlJaNHj+bx48fK9fXr1+Pq6oqRkRFmZmb07duXO3fuAJCYmEibNm0AMDU1RaVS4evrC0Bubi7z5s2jVq1a6Onp4eTkxJYtWwrcf+fOnXTt2pWDBw+iq6tbYKfxmDFj+OCDDwC4d+8effr0oUaNGujr6+Pg4MC3336r0T83N5eFCxdiY2ODjo4OVlZWzJkzR7n+xx9/0KdPHypVqoSBgQGurq6cOHFCIx4XFxd0dXWpXbs2wcHBPHv2TLmuUqn46quv6NGjB/r6+tja2rJr1y7lek5ODkOGDFGe297entDQUOV6UFAQERER7Ny5E5VKhUqlIioqCoCbN2/Su3dvKlasSKVKlejWrRuJiYnFfn6bNm0qUKKhY8eOzJ49mx49ehQ57tixYwwcOJDWrVtjbW3NsGHDcHJy4uTJk0WOMTAwYNWqVfj5+WFmZlZkP29vb3bt2sWTJ0+KjV0IIYQQQgghhHjXSUJYCPFOmzBhAlu3biUiIoKzZ89iY2ODl5cX9+/fL7R/QkICHTp0oFevXly4cIHvvvuOo0eP4u/vr/TJzs5m1qxZnD9/nh07dpCYmKgkfS0tLZWdovHx8aSkpCjJz3nz5hEZGcnq1au5fPkyY8eO5ZNPPuHIkSPK3A8ePODo0aN07dqVtm3bUrFiRY2dpzk5OXz33Xf069cPyCtZ0KhRI/bs2cOlS5cYNmwY/fv310hiTp48mfnz5zNt2jSuXLnCxo0bqV69OpBXJqFVq1YkJyeza9cuzp8/z4QJE8jNzQUgOjqaAQMGMGbMGK5cucKaNWsIDw/XSCgDBAcH07t3by5cuECnTp3o16+fssa5ubm89957/N///R9Xrlxh+vTp/Oc//2Hz5s0ABAYG0rt3bzp06EBKSgopKSm4u7uTnZ2Nl5cXRkZGREdHExMTg6GhIR06dCArK6vQz+/+/ftcuXIFV1fX4r4WhXJ3d2fXrl0kJyejVqv56aefuHr1Ku3bt1f6+Pr60rp161LP7erqyrNnzzQS7S/KzMzk4cOHGi8hhBBCCCGEEOJdo1Kr1eqyDkIIIQrz+PFjTE1NCQ8Pp2/fvkBeMtfa2pqAgADGjx9PVFQUbdq0ITU1lYoVKzJ06FC0tLRYs2aNMs/Ro0dp1aoVjx8/RldXt8B9Tp8+TePGjXn06BGGhoYF5oS8ZF+lSpX44YcfcHNzU8YOHTqUjIwMNm7cCMDGjRtZunSpsos5ICCAixcvcvjwYQAOHjxI165duX37tjL3i7p06ULdunUJCQnh0aNHVK1alZUrVzJ06NACfb/88ksCAwNJTEykUqVKBa57enrStm1bJk+erLR98803TJgwgVu3bgF5O4SnTp3KrFmzlHU3NDRk3759dOjQodAY/f39uX37trJD2tfXlwcPHmjU9v3mm2+YPXs2cXFxqFQqALKysqhYsSI7duzQSNTmi42NxdnZmaSkJCwtLQu9t0qlYvv27QXq/WZmZjJs2DAiIyMpX7485cqVY+3atQwYMEDpM3nyZJKTk4mMjCwwb2HP8LxKlSqxdOlSBg4cWOj1oKAggoODC7SnpaVhbGxc6BghhPi7ScmI/w1SMkIIIYT43/Tw4UNMTExe+nOo1BAWQryzEhISyM7OxsPDQ2mrUKECTZo0IS4urtAx58+f58KFC2zYsEFpU6vV5Obm8vvvv1OvXj3OnDlDUFAQ58+fJzU1VdlNm5SURP369Qud9/r162RkZNCuXTuN9qysLJydnZX3+eUi8vXr149mzZpx69YtLCws2LBhA507d1aSwTk5OcydO5fNmzeTnJxMVlYWmZmZ6OvrAxAXF0dmZiZt27YtNK78BGphyeD89YiJidHYEZyTk8PTp0/JyMhQ7uPo6KhcNzAwwNjYWCmjAfDf//6Xr7/+mqSkJJ48eUJWVhYNGzYs9J7P3/v69esYGRlptD99+pSEhIRCx+SXZCgscf8yK1as4JdffmHXrl3UrFmTn3/+mc8++wwLCws8PT2BvF3er0pPT4+MjIwir0+ePJlx48Yp7x8+fFhkUlsIIYQQQgghhCgrkhAWQvyrpKenM3z4cEaPHl3gmpWVFY8fP8bLywsvLy82bNhA1apVSUpKwsvLq8gyBvnzAuzZs4caNWpoXNPR0QHyksP79+/nP//5j3KtcePG1KlTh02bNvHpp5+yfft2wsPDleuLFi0iNDSUZcuW4eDggIGBAQEBAUosenp6xT7vy66np6cTHBxc6EFszyddK1SooHFNpVIpifJNmzYRGBjI4sWLcXNzw8jIiEWLFhVbPiH/3o0aNdJIzuerWrVqoWOqVKkCQGpqapF9CvPkyRP+85//sH37djp3ztsV5ejoSGxsLCEhIUpC+HXcv3+/2Jh0dHSU74IQQgghhBBCCPGukoSwEOKdVadOHbS1tYmJiaFmzZpAXsmIU6dOERAQUOgYFxcXrly5go2NTaHXL168yL1795g/f76ye/P06dMafbS1tYG8nbT56tevj46ODklJSbRq1arQuaOiojA1NcXJyUmjvV+/fmzYsIH33nuPcuXKKQlLgJiYGLp168Ynn3wC5NXrvXr1qrJT2dbWFj09PQ4fPlxoyQhHR0e++uor7t+/X+guYRcXF+Lj44tcj5KIiYnB3d2dkSNHKm0v7vDV1tbWWK/8e3/33XdUq1atxCUT6tSpg7GxMVeuXMHOzq7EMWZnZ5OdnU25cpql8bW0tJTE9utISEjg6dOnGrvBhRBCCCGEEEKIfyJJCAsh3lkGBgZ8+umnjB8/nkqVKmFlZcXChQvJyMhgyJAhhY6ZOHEizZo1w9/fn6FDh2JgYMCVK1c4dOgQK1euxMrKCm1tbVasWMGIESO4dOmSUjs3X82aNVGpVOzevZtOnTqhp6eHkZERgYGBjB07ltzcXJo3b05aWhoxMTEYGxszcOBAdu3apVEuIl+/fv0ICgpizpw5fPjhhxq7SG1tbdmyZQvHjh3D1NSUJUuW8OeffyoJYV1dXSZOnMiECRPQ1tbGw8ODu3fvcvnyZYYMGUKfPn2YO3cu3bt3Z968eZibm3Pu3DksLCxwc3Nj+vTpdOnSBSsrKz788EPKlSvH+fPnuXTpErNnzy7R52Bra0tkZCQHDhygVq1arF+/nlOnTlGrVi2lj7W1NQcOHCA+Pp7KlStjYmJCv379WLRoEd26dWPmzJm899573Lhxg23btjFhwgTee++9AvcqV64cnp6eHD16VKNGcHp6OtevX1fe//7778TGxirfC2NjY1q1asX48ePR09OjZs2aHDlyhMjISJYsWaKMK6yG8JUrV8jKyuL+/fs8evSI2NhYAI2SGNHR0dSuXZs6deqUaM2EEOJdJbVlhRBCCCEEaiGEeIc9efJEPWrUKHWVKlXUOjo6ag8PD/XJkyeV6z/99JMaUKempiptJ0+eVLdr105taGioNjAwUDs6OqrnzJmjXN+4caPa2tparaOjo3Zzc1Pv2rVLDajPnTun9Jk5c6bazMxMrVKp1AMHDlSr1Wp1bm6uetmyZWp7e3t1hQoV1FWrVlV7eXmpjxw5olar1WpLS0v1oUOHCn2OJk2aqAH1jz/+qNF+7949dbdu3dSGhobqatWqqadOnaoeMGCAulu3bkqfnJwc9ezZs9U1a9ZUV6hQQW1lZaWeO3eucj0xMVHdq1cvtbGxsVpfX1/t6uqqPnHihHJ9//79and3d7Wenp7a2NhY3aRJE/WXX36pXAfU27dv14jLxMREHRYWplar1eqnT5+qfX191SYmJuqKFSuqP/30U/WkSZPUTk5OSv87d+4oaw6of/rpJ7VarVanpKSoBwwYoHx+tWvXVvv5+anT0tIKXSe1Wq3eu3evukaNGuqcnBylLf9zfvGV/9nk38vX11dtYWGh1tXVVdvb26sXL16szs3NVfoMHDhQ3apVK4371axZs9C5n9e+fXv1vHnzioy5MGlpaWqg2GcVQgghhBBCCCHelJL+HKpSq9Xqvz0LLYQQ/zJnz57lgw8+4O7duwXq8YrSUavVNG3alLFjx9KnT5+yDofLly/zwQcfcPXqVUxMTEo8rqSnuwohhBBCCCGEEG9CSX8OLVfkFSGEECX27NkzVqxYIcngN0ClUvHll1/y7Nmzsg4FgJSUFCIjI0uVDBZCCCGEEEIIId5VskNYCCGEeAtkh7AQQgghhBBCiL+T7BAWQoh/IZVKxY4dO8o6DHx9fTUOfStMVFQUKpWKBw8evPV47t27R7Vq1UhMTHzjc0+aNIlRo0a98XmFEEIIIYQQQoiyIAlhIYR4TkkSnQJCQ0MJDw9X3rdu3ZqAgACNPu7u7qSkpPwtpRbmzJlDt27dsLa21mjfunUrrVu3xsTEBENDQxwdHZk5cyb3799X+mzYsAEnJyf09fUxNzdn8ODB3Lt3T7keGBhIREQEv/3221t/DiGEEEIIIYQQ4m0rX9YBCCGEeHdkZWWhra390n4lSfJqa2tjZmb2JsIqVkZGBuvWrePAgQMa7VOmTGHBggWMHTuWuXPnYmFhwbVr11i9ejXr169nzJgxxMTEMGDAAJYuXYq3tzfJycmMGDECPz8/tm3bBkCVKlXw8vJi1apVLFq06K0/jxBCvE3Wk/aUdQh/m8T5ncs6BCGEEEKId5LsEBZC/KtkZmYyevRoqlWrhq6uLs2bN+fUqVMafS5fvkyXLl0wNjbGyMiIFi1akJCQQFBQEBEREezcuROVSoVKpSIqKgqAiRMnYmdnh76+PrVr12batGlkZ2crcwYFBdGwYUPWr1+PtbU1JiYmfPzxxzx69KhEsanVamxsbAgJCdGINTY2FpVKxfXr1wt93j/++IM+ffpQqVIlDAwMcHV15cSJEwAkJCTQrVs3qlevjqGhIY0bN+aHH37QGG9tbc2sWbMYMGAAxsbGDBs2jPDwcCpWrMiBAweoV68ehoaGdOjQgZSUFGXc8zupfX19OXLkCKGhocq6JSYmFigZUZJ5Ab766ivq1auHrq4udevW5YsvvijuI2fv3r3o6OjQrFkzpe3kyZPMnTuXxYsXs2jRItzd3bG2tqZdu3Zs3bqVgQMHAnD8+HGsra0ZPXo0tWrVonnz5gwfPpyTJ09q3MPb25tNmzYVG4cQQgghhBBCCPFPIAlhIcS/yoQJE9i6dSsRERGcPXsWGxsbvLy8lBIBycnJtGzZEh0dHX788UfOnDnD4MGDefbsGYGBgfTu3VtJUqakpODu7g6AkZER4eHhXLlyhdDQUNauXcvSpUs17p2QkMCOHTvYvXs3u3fv5siRI8yfP79EsalUKgYPHkxYWJjGnGFhYbRs2RIbG5sCz5qenk6rVq1ITk5m165dnD9/ngkTJpCbm6tc79SpE4cPH+bcuXN06NABb29vkpKSNOYJCQnBycmJc+fOMW3aNCBv121ISAjr16/n559/JikpicDAwELXPDQ0FDc3N/z8/JR1s7S0LLTvy+bdsGED06dPZ86cOcTFxTF37lymTZtGREREofMBREdH06hRI422DRs2YGhoyMiRIwsdU7FiRQDc3Ny4efMme/fuRa1W8+eff7JlyxY6deqk0b9Jkyb88ccfxdYozszM5OHDhxovIYQQQgghhBDiXSMJYSHEv8bjx4+VP+vv2LEj9evXZ+3atejp6bFu3ToA/vvf/2JiYsKmTZtwdXXFzs6OQYMGYW9vj6GhIXp6eujo6GBmZoaZmZlSPmHq1KnKLlNvb28CAwPZvHmzxv1zc3MJDw/n/fffp0WLFvTv35/Dhw+XODZfX1/i4+OV3anZ2dls3LiRwYMHF/q8Gzdu5O7du+zYsYPmzZtjY2ND7969cXNzA8DJyYnhw4fz/vvvY2try6xZs6hTpw67du3SmOeDDz7g888/p06dOtSpU0e59+rVq3F1dcXFxQV/f3/lWV5kYmKCtrY2+vr6yrppaWkV2vdl886YMYPFixfTs2dPatWqRc+ePRk7dixr1qwp4lOHGzduYGFhodF27do1ateuTYUKFYocB+Dh4cGGDRv46KOPlBIXJiYm/Pe//9Xolz//jRs3ipxr3rx5mJiYKK+ikuJCCCGEEEIIIURZkoSwEOJfIyEhgezsbDw8PJS2ChUq0KRJE+Li4oC8EgwtWrR4aaLwRd999x0eHh6YmZlhaGjI1KlTC+y0tba2xsjISHlvbm7OnTt3ShybhYUFnTt35uuvvwbg+++/JzMzEx8fn0Jjio2NxdnZmUqVKhV6PT09ncDAQOrVq0fFihUxNDQkLi6uQNyurq4Fxurr6yvJ4Ref5XUUN+/jx49JSEhgyJAhGBoaKq/Zs2eTkJBQ5JxPnjxBV1dXo02tVpconitXrjBmzBimT5/OmTNn2L9/P4mJiYwYMUKjn56eHpC3w7kokydPJi0tTXndvHmzRDEIIYQQQgghhBB/JzlUTgjxPyU/sVcax48fp1+/fgQHB+Pl5aXsMF68eLFGvxeTzCqVSinfUFJDhw6lf//+LF26lLCwMD766CP09fUL7fuyZwkMDOTQoUOEhIRgY2ODnp4eH374IVlZWRr9DAwMCowt7FlKmmQtTnHzpqenA7B27VqaNm2q0a+oHceQd+hbamqqRpudnR1Hjx4lOzu72OT/vHnz8PDwYPz48QA4OjpiYGBAixYtmD17Nubm5gBKyZGqVasWOZeOjg46OjpFXhdCCCGEEEIIId4FskNYCPGvUadOHbS1tYmJiVHasrOzOXXqFPXr1wfyEn7R0dEaB8I9T1tbm5ycHI22Y8eOUbNmTaZMmYKrqyu2trbFlg541dgAOnXqhIGBAatWrWL//v1FlovIf5bY2FglWfmimJgYfH196dGjBw4ODpiZmRVbA/d1FLZupVW9enUsLCz47bffsLGx0XjVqlWryHHOzs5cuXJFo61v376kp6cXeSBd/kF3GRkZlCun+Z/C/OTz8wnwS5cuUaFCBRo0aPAqjyaEEEIIIYQQQrwzZIewEOJfw8DAgE8//ZTx48dTqVIlrKysWLhwIRkZGQwZMgQAf39/VqxYwccff8zkyZMxMTHhl19+oUmTJtjb22Ntbc2BAweIj4+ncuXKmJiYYGtrS1JSEps2baJx48bs2bOH7du3v/HYIC8Z6evry+TJk7G1tVXqARemT58+zJ07l+7duzNv3jzMzc05d+4cFhYWuLm5YWtry7Zt2/D29kalUjFt2rRS71guKWtra06cOEFiYiKGhoZFlrF4meDgYEaPHo2JiQkdOnQgMzOT06dPk5qayrhx4wod4+XlxeTJk0lNTcXU1BSApk2bMmHCBD7//HOSk5Pp0aMHFhYWXL9+ndWrV9O8eXPGjBmDt7c3fn5+rFq1Ci8vL1JSUggICKBJkyYadYmjo6Np0aLFK+0wF0KId0ni/M5lHYIQQgghhChjskNYCPGvMn/+fHr16kX//v1xcXHh+vXrHDhwQEkUVq5cmR9//JH09HRatWpFo0aNWLt2rVJWwM/PD3t7e1xdXalatSoxMTF07dqVsWPH4u/vT8OGDTl27BjTpk1747HlGzJkCFlZWQwaNKjY+bS1tTl48CDVqlWjU6dOODg4MH/+fGWH65IlSzA1NcXd3R1vb2+8vLxwcXEpddwlERgYiJaWFvXr16dq1aoF6hSX1NChQ/nqq68ICwvDwcGBVq1aER4eXuwOYQcHB1xcXAoc8rdgwQI2btzIiRMn8PLyokGDBowbNw5HR0cGDhwI5B3kt2TJElauXMn777+Pj48P9vb2bNu2TWOuTZs24efn90rPJIQQQgghhBBCvEtU6jdRFFIIIcQbEx0dTdu2bbl58ybVq1cv63D+Efbs2cP48eO5dOlSgRIQr2vfvn18/vnnXLhwgfLlS/6HNQ8fPsTExIS0tDSMjY3faExCCCGEEEIIIcSLSvpzqJSMEEKId0RmZiZ3794lKCgIHx8fSQaXQufOnbl27RrJyclYWlq+0bkfP35MWFhYqZLBQgghhBBCCCHEu0p2CAshxDsiPDycIUOG0LBhQ3bt2kWNGjXKOiTxGmSHsBBCCCGEEEKIv1NJfw6VGsJCCPGO8PX1JScnhzNnzvxrksFBQUE0bNiwTGNQqVTs2LGjTGMQQgghhBBCCCHeFZIQFkKIt8DX1xeVSsX8+fM12nfs2IFKpXqlOcPDw6lYseIbiK7s+Pr60r1797/1nikpKXTs2PFvvacQQgghhBBCCPGukoKIQgjxlujq6rJgwQKGDx+OqalpWYdTKllZWWhra5d1GK8l/xnMzMzKOhQhhHhnWE/aU9YhvFGJ8zuXdQhCCCGEEP84skNYCCHeEk9PT8zMzJg3b16Jx5w/f542bdpgZGSEsbExjRo14vTp00RFRTFo0CDS0tJQqVSoVCqCgoKAvMPoAgMDqVGjBgYGBjRt2pSoqChlznv37tGnTx9q1KiBvr4+Dg4OfPvttxr3bd26Nf7+/gQEBFClShW8vLwAOHLkCE2aNEFHRwdzc3MmTZrEs2fPAIiMjKRy5cpkZmZqzNW9e3f69+9f4NmCgoKIiIhg586dyjPkxzlx4kTs7OzQ19endu3aTJs2jezsbGVsYTuLAwICaN269Uuf4fmSEYmJiahUKrZt20abNm3Q19fHycmJ48ePa8x99OhRWrRogZ6eHpaWlowePZrHjx8X/cEJIYQQQgghhBD/EJIQFkKIt0RLS4u5c+eyYsUK/vjjjxKN6devH++99x6nTp3izJkzTJo0iQoVKuDu7s6yZcswNjYmJSWFlJQUAgMDAfD39+f48eNs2rSJCxcu4OPjQ4cOHbh27RoAT58+pVGjRuzZs4dLly4xbNgw+vfvz8mTJzXuHRERgba2NjExMaxevZrk5GQ6depE48aNOX/+PKtWrWLdunXMnj0bAB8fH3Jycti1a5cyx507d9izZw+DBw8u8GyBgYH07t2bDh06KM/g7u4OgJGREeHh4Vy5coXQ0FDWrl3L0qVLS73mLz5DUaZMmUJgYCCxsbHY2dnRp08fJdGdkJBAhw4d6NWrFxcuXOC7777j6NGj+Pv7F3vvzMxMHj58qPESQgghhBBCCCHeNVIyQggh3qIePXrQsGFDZsyYwbp1617aPykpifHjx1O3bl0AbG1tlWsmJiaoVCqNEghJSUmEhYWRlJSEhYUFkJd43b9/P2FhYcydO5caNWooyWOAUaNGceDAATZv3kyTJk2UdltbWxYuXKi8nzJlCpaWlqxcuRKVSkXdunW5desWEydOZPr06ejp6dG3b1/CwsLw8fEB4JtvvsHKykpj524+Q0ND9PT0yMzMLFDGYerUqcq/ra2tCQwMZNOmTUyYMOGla/a8F5+hKIGBgXTunPdnxsHBwTRo0IDr169Tt25d5s2bR79+/QgICFDmXL58Oa1atWLVqlXo6uoWOue8efMIDg4uVbxCCCGEEEIIIcTfTXYICyHEW7ZgwQIiIiKIi4vTaDc0NFReI0aMAGDcuHEMHToUT09P5s+fT0JCQrFzX7x4kZycHOzs7DTmO3LkiDI2JyeHWbNm4eDgQKVKlTA0NOTAgQMkJSVpzNWoUSON93Fxcbi5uWkcgufh4UF6erqy49nPz4+DBw+SnJwM5B18l3+gXml89913eHh4YGZmhqGhIVOnTi0QX0m8+AxFcXR0VP5tbm4O5O1uhryyHeHh4Rrr6eXlRW5uLr///nuRc06ePJm0tDTldfPmzVLHL4QQQgghhBBCvG2yQ1gIId6yli1b4uXlxeTJk/H19VXaY2NjlX8bGxsDeXV2+/bty549e9i3bx8zZsxg06ZN9OjRo9C509PT0dLS4syZM2hpaWlcMzQ0BGDRokWEhoaybNkyHBwcMDAwICAggKysLI3+BgYGpX42Z2dnnJyciIyMpH379ly+fJk9e0p3YNHx48fp168fwcHBeHl5YWJiwqZNm1i8eLHSp1y5cqjVao1xz9cYLu0zVKhQQfl3fvI6NzcXyFvT4cOHM3r06ALjrKysipxTR0cHHR2dEt1fCCGEEEIIIYQoK5IQFkKIv8H8+fNp2LAh9vb2SpuNjU2hfe3s7LCzs2Ps2LH06dOHsLAwevTogba2Njk5ORp9nZ2dycnJ4c6dO7Ro0aLQ+WJiYujWrRuffPIJkJf4vHr1KvXr1y825nr16rF161bUarWSNI2JicHIyIj33ntP6Td06FCWLVtGcnIynp6eWFpaFjlnYc9w7NgxatasyZQpU5S2GzduaPSpWrUqly5d0miLjY3VSOy+KS4uLly5cqXIz0cIIYQQQgghhPgnk4SwEEL8DRwcHOjXrx/Lly8vss+TJ08YP348H374IbVq1eKPP/7g1KlT9OrVC8irrZuens7hw4dxcnJCX18fOzs7+vXrx4ABA1i8eDHOzs7cvXuXw4cP4+joSOfOnbG1tWXLli0cO3YMU1NTlixZwp9//vnShPDIkSNZtmwZo0aNwt/fn/j4eGbMmMG4ceMoV+7/Vxzq27cvgYGBrF27lsjIyGLntLa25sCBA8THx1O5cmVMTEywtbUlKSmJTZs20bhxY/bs2cP27ds1xn3wwQcsWrSIyMhI3Nzc+Oabb7h06RLOzs4vW/pSmzhxIs2aNcPf35+hQ4diYGDAlStXOHToECtXrnzj9xNCiL9T4vzOZR2CEEIIIYQoY1JDWAgh/iYzZ85UyhIURktLi3v37jFgwADs7Ozo3bs3HTt2VA4qc3d3Z8SIEXz00UdUrVpVOTwtLCyMAQMG8Pnnn2Nvb0/37t05deqUUt5g6tSpuLi44OXlRevWrTEzM6N79+4vjbdGjRrs3buXkydP4uTkxIgRIxgyZIjGAXCQd9hdr169MDQ0fOm8fn5+2Nvb4+rqStWqVYmJiaFr166MHTsWf39/GjZsyLFjx5g2bZrGOC8vL6ZNm8aECRNo3Lgxjx49YsCAAS99hlfh6OjIkSNHuHr1Ki1atMDZ2Znp06crh/YJIYQQQgghhBD/ZCr1i0UZhRBCiFJq27YtDRo0KHYH9P+ahw8fYmJiQlpamlIjWgghhBBCCCGEeFtK+nOolIwQQgjxylJTU4mKiiIqKoovvviirMMRQgghhBBCCCHES0hCWAghxCtzdnYmNTWVBQsWaByYJ4QQQgghhBBCiHeT1BAWQry2oKAgGjZs+Fbv0bp1awICAorto1Kp2LFjx1uNo7Ssra1ZtmzZ33Kv/v37M3fu3L81nsTERNLS0ggMDHxjc5aFrKwsrK2tOX36dFmHIoQQQgghhBBCvFWSEBbiFfn6+qJSqZg/f75G+44dO1CpVK88b3h4OBUrVnzN6P43paSk0LFjx7IOQ8OpU6cYNmzYW7/P+fPn2bt3L6NHjy7VuC+//JLWrVtjbGyMSqXiwYMHBfpcvXqVbt26UaVKFYyNjWnevDk//fRTsfNevnyZXr16YW1tjUqlKjYJPWjQIOWgujlz5uDu7o6+vn6R/zs4deoUbdu2pWLFipiamuLl5cX58+df+qz//e9/sba2RldXl6ZNm3Ly5Enlmra2NoGBgUycOLHQsa1bt37p/EIIIYQQQgghxD+BJISFeA26urosWLCA1NTUsg7llWRlZZV1CG+UmZkZOjo6ZR2GhqpVq6Kvr//W77NixQp8fHwwNDQs1biMjAw6dOjAf/7znyL7dOnShWfPnvHjjz9y5swZnJyc6NKlC7dv3y523tq1azN//nzMzMyK7JeTk8Pu3bvp2rUrkPed9PHx4dNPPy20f3p6Oh06dMDKyooTJ05w9OhRjIyM8PLyIjs7u8j7fPfdd4wbN44ZM2Zw9uxZnJyc8PLy4s6dO0qffv36cfToUS5fvgzkJcI3bdqkMc/Zs2fZvXt3kfcRQoiyYD1pT4lfQgghhBBCSEJYiNfg6emJmZkZ8+bNK9W48+fP06ZNG4yMjDA2NqZRo0acPn2aqKgoBg0aRFpaGiqVCpVKRVBQEACZmZkEBgZSo0YNDAwMaNq0KVFRUcqc9+7do0+fPtSoUQN9fX0cHBz49ttvNe7bunVr/P39CQgIoEqVKnh5eQFw5MgRmjRpgo6ODubm5kyaNIlnz54BEBkZSeXKlcnMzNSYq3v37vTv37/Ez7xlyxYcHBzQ09OjcuXKeHp68vjxYyBvt3X37t0JDg6matWqGBsbM2LEiAIJ69zcXCZMmEClSpUwMzNT1ibf8yUjEhMTUalUbNu2jTZt2qCvr4+TkxPHjx/XGLN27VosLS3R19enR48eLFmypMDO1FWrVlGnTh20tbWxt7dn/fr1yjW1Wk1QUBBWVlbo6OhgYWGhsUv3xRINKpWKr776ih49eqCvr4+trS27du3SuN+lS5fo2LEjhoaGVK9enf79+/PXX38VubY5OTls2bIFb29vjfY7d+7g7e2Nnp4etWrVYsOGDQXGBgQEMGnSJJo1a1bo3H/99RfXrl1j0qRJODo6Ymtry/z588nIyODSpUtFxtS4cWMWLVrExx9/XGyS/tixY1SoUIHGjRsDEBwczNixY3FwcCi0/6+//sr9+/eZOXMm9vb2NGjQgBkzZvDnn39y48aNIu+zZMkS/Pz8GDRoEPXr12f16tXo6+vz9ddfK31MTU3x8PBQksBVqlThp59+onfv3jx48IDp06czefJkateuXeR9hBBCCCGEEEKId50khIV4DVpaWsydO5cVK1bwxx9/lHhcv379eO+99zh16hRnzpxh0qRJVKhQAXd3d5YtW4axsTEpKSmkpKQotVn9/f05fvw4mzZt4sKFC/j4+NChQweuXbsGwNOnT2nUqBF79uzh0qVLDBs2jP79+2v8WTxAREQE2traxMTEsHr1apKTk+nUqRONGzfm/PnzrFq1inXr1jF79mwAfHx8yMnJ0Uha3rlzhz179jB48OASPW9KSgp9+vRh8ODBxMXFERUVRc+ePVGr1Uqfw4cPK9e+/fZbtm3bRnBwcIHYDQwMOHHiBAsXLmTmzJkcOnSo2HtPmTKFwMBAYmNjsbOzo0+fPkqyOyYmhhEjRjBmzBhiY2Np164dc+bM0Ri/fft2xowZw+eff86lS5cYPnw4gwYNUkombN26laVLl7JmzRquXbvGjh07ikxm5gsODqZ3795cuHCBTp060a9fP+7fvw/AgwcP+OCDD3B2dub06dPs37+fP//8k969exc534ULF0hLS8PV1VWj3dfXl5s3b/LTTz+xZcsWvvjiC40dsSVRuXJl7O3tiYyM5PHjxzx79ow1a9ZQrVo1GjVqpPSztrYukKAviV27duHt7V3iMiv29vZUrlyZdevWkZWVxZMnT1i3bh316tXD2tpa6adSqQgPDwfydh2fOXMGT09P5Xq5cuXw9PQs8AuCJk2aEB0dDUClSpVYs2YNnp6enD9/noSEBA4cOED9+vULjS0zM5OHDx9qvIQQQgghhBBCiHdN+bIOQIh/uh49etCwYUNmzJjBunXrSjQmKSmJ8ePHU7duXQBsbW2VayYmJqhUKo0/s09KSiIsLIykpCQsLCwACAwMZP/+/YSFhTF37lxq1KihcbDXqFGjOHDgAJs3b6ZJkyZKu62tLQsXLlTeT5kyBUtLS1auXIlKpaJu3brcunWLiRMnMn36dPT09Ojbty9hYWH4+PgA8M0332BlZVXiuqopKSk8e/aMnj17UrNmTYACSVNtbW2+/vpr9PX1adCgATNnzmT8+PHMmjWLcuXyfnfl6OjIjBkzlOdYuXIlhw8fpl27dkXeOzAwkM6dOwN5idgGDRpw/fp16taty4oVK+jYsaOybnZ2dhw7dkyjJEBISAi+vr6MHDkSgHHjxvHLL78QEhJCmzZtSEpKwszMDE9PTypUqICVlZXGehfG19eXPn36ADB37lyWL1/OyZMn6dChAytXrsTZ2VnjcLivv/4aS0tLrl69ip2dXYH5bty4gZaWFtWqVVParl69yr59+zh58qSy+zY/cVoaKpWKH374ge7du2NkZES5cuWoVq0a+/fvx9TUVOlXp04dqlSpUqq5AXbu3MnSpUtL3N/IyIioqCi6d+/OrFmzgLzvwoEDByhf/v//J83e3h4TExMgb5dzTk4O1atX15irevXq/PrrrxptFhYWyk7j1NRUpkyZwl9//YWTkxN16tShY8eOLFu2DHt7+wKxzZs3r8AvMYQQQgghhBBCiHeN7BAW4g1YsGABERERxMXFFbhmaGiovEaMGAHkJRWHDh2Kp6cn8+fPJyEhodj5L168SE5ODnZ2dhrzHTlyRBmbk5PDrFmzcHBwoFKlShgaGnLgwAGSkpI05np+VydAXFwcbm5uGjs0PTw8SE9PV3Y9+/n5cfDgQZKTk4G8g+/yD9V7UXR0tEaMGzZswMnJibZt2+Lg4ICPjw9r164tUHfZyclJo9aum5sb6enp3Lx5U2lzdHTUGGNubv7SHa/PjzE3NwdQxsTHxxdI3r74Pi4uDg8PD402Dw8P5bP28fHhyZMn1K5dGz8/P7Zv367sQC5JTAYGBhgbGysxnT9/np9++kljDfN/cVDU9+TJkyfo6OhofB5xcXGUL19e4/OuW7duqQ8sVKvVfPbZZ1SrVo3o6GhOnjxJ9+7d8fb2JiUlRel3+PBh/P39SzV3XFwct27dom3btiUe8+TJE4YMGYKHhwe//PILMTExvP/++3Tu3JknT54o/X799Vd69OhRqngA9PT0yMjIAPK+Jy1atGDz5s1UrFiRmTNnMmfOHK5evVro2MmTJ5OWlqa8nv/uCiGEEEIIIYQQ7wrZISzEG9CyZUu8vLyYPHkyvr6+GtdiY2OVfxsbGwMQFBRE37592bNnD/v27WPGjBls2rSpyARWeno6WlpanDlzBi0tLY1r+YeILVq0iNDQUJYtW4aDgwMGBgYEBAQUqMNrYGBQ6udzdnbGycmJyMhI2rdvz+XLl9mzp/CDaVxdXTWeuXr16mhpaXHo0CGOHTvGwYMHWbFiBVOmTOHEiRPUqlWrxHFUqFBB471KpSI3N7fEY/ITpi8bUxqWlpbEx8fzww8/cOjQIUaOHMmiRYs4cuRIgXgLiyk/rvyY0tPT8fb2ZsGCBQXG5Se0X1SlShUyMjLIyspCW1v7NZ9I048//sju3btJTU1Vvr9ffPEFhw4dIiIigkmTJr3y3Lt27aJdu3bo6uqWeMzGjRtJTEzk+PHjys7xjRs3Ympqys6dO/n4448LjKlSpQpaWlr8+eefGu1//vlngQPv7t+/T9WqVYG8XcYv7gR2cXHBxcWl0Nh0dHTeuUMNhRBCCCGEEEKIF0lCWIg3ZP78+TRs2LBAAsnGxqbQ/nZ2dtjZ2TF27Fj69OlDWFgYPXr0QFtbm5ycHI2+zs7O5OTkKDsWCxMTE0O3bt345JNPgLyk59WrV4usd5qvXr16bN26FbVarSRMY2JiMDIy4r333lP6DR06lGXLlpGcnIynpyeWlpaFzqenp1foM6tUKjw8PPDw8GD69OnUrFmT7du3M27cOCBvZ+yTJ0/Q09MD4JdffsHQ0LDI+7wJ9vb2nDp1SqPtxff16tUjJiaGgQMHKm0xMTEa66qnp4e3tzfe3t589tln1K1bl4sXLxaZOCyOi4sLW7duxdraWqMEQnEaNmwIwJUrV5R/161bl2fPnnHmzBmlZER8fDwPHjwoVTz5u2Xzk6/5ypUr99qJ9Z07dzJs2LBSx1OuXDmN3dD574uKR1tbm0aNGnH48GG6d+8O5P3vo7BdzZcuXcLZ2bnAHM8f4CiEEO+axPmdyzoEIYQQQgjxDyIlI4R4QxwcHOjXrx/Lly8vtt+TJ0/w9/cnKiqKGzduEBMTw6lTp5TartbW1qSnp3P48GH++usvMjIysLOzo1+/fgwYMIBt27bx+++/c/LkSebNm6fs1LW1tVV24cbFxTF8+PACOyILM3LkSG7evMmoUaP49ddf2blzJzNmzGDcuHEaScC+ffvyxx9/sHbt2hIfJpfvxIkTzJ07l9OnT5OUlMS2bdu4e/euRj3brKwshgwZwpUrV9i7dy8zZszA39+/QCLyTRo1ahR79+5lyZIlXLt2jTVr1rBv3z6NZOP48eMJDw9n1apVXLt2jSVLlrBt2zal7nB4eDjr1q3j0qVL/Pbbb3zzzTfo6ekptZJL67PPPuP+/fv06dOHU6dOKQeZDRo0qMAvCvJVrVoVFxcXjh49qrTZ29vToUMHhg8fzokTJzhz5gxDhw5VEu75bt++TWxsLNevXwfyypPExsYqh9y5ublhamrKwIEDOX/+PFevXmX8+PH8/vvvSm1mgLZt27Jy5UrlfVZWFrGxscTGxpKVlUVycrLGfe7cucPp06fp0qWLRjxJSUnExsaSlJRETk6OMkd6ejoA7dq1IzU1lc8++4y4uDguX77MoEGDKF++PG3atFHmqVu3Ltu3b1fejxs3jrVr1yqlXT799FMeP37MoEGDNO4fHR1N+/btX/IpCSGEEEIIIYQQ/1ySEBbiDZo5c+ZLd01qaWlx7949BgwYgJ2dHb1796Zjx47KYVTu7u6MGDGCjz76iKpVqyoHwIWFhTFgwAA+//xz7O3t6d69O6dOncLKygqAqVOn4uLigpeXF61bt8bMzEzZDVmcGjVqsHfvXk6ePImTkxMjRoxgyJAhTJ06VaOfiYkJvXr1wtDQsETzPs/Y2Jiff/6ZTp06YWdnx9SpU1m8eDEdO3ZU+rRt2xZbW1tatmzJRx99RNeuXQkKCirVfUrLw8OD1atXs2TJEpycnNi/fz9jx47VKGHQvXt3QkNDCQkJoUGDBqxZs4awsDDlQL2KFSuydu1aPDw8cHR05IcffuD777+ncuXKrxSThYUFMTEx5OTk0L59exwcHAgICKBixYrFJseHDh3Khg0bNNrCwsKwsLCgVatW9OzZk2HDhmkcPAewevVqnJ2d8fPzA/LKnzg7O7Nr1y4gr9zC/v37SU9P54MPPsDV1ZWjR4+yc+dOnJyclHkSEhL466+/lPe3bt3C2dkZZ2dnUlJSCAkJwdnZmaFDhwLw/fff06RJkwIH0U2fPh1nZ2dmzJhBenq6Msfp06eBvETv999/z4ULF3Bzc6NFixbcunWL/fv3a5TUiI+PJy0tTXn/0UcfERISwvTp02nYsCGxsbHs379f46C548ePk5aWxocffljMJySEEEIIIYQQQvyzqdRqtbqsgxBC/DO0bduWBg0avHQXdGn5+vry4MEDduzY8UbnfRV+fn78+uuvREdHl3UopfLkyRPs7e357rvvcHNzK+twXqpr1640b96cCRMmlHUoio8++ggnJyf+85//vJH5Hj58iImJCWlpaUr9ZSGEEEIIIYQQ4m0p6c+hUkNYCPFSqampREVFERUVxRdffFHW4bxRISEhtGvXDgMDA/bt20dERMQ/8hn19PSIjIzU2KX7LmvevDl9+vQp6zAUWVlZODg4MHbs2LIORQghhBBCCCGEeKukZIQQ/0Aqleq1d9P6+vqWuPSDs7Mzvr6+LFiwoMCheS8TFBSkHHT2trRu3ZqAgIBi+xS1ZidPnqRdu3Y4ODiwevVqli9frpQ1eNusra1ZtmzZG5uvdevWeHt7F3qtf//+zJ0792+NpzgTJkx4qwcGlpa2tjZTp04tUGMZ8pLF1tbWStkKIYQQQgghhBDin0wSwkKUkq+vLyqVivnz52u079ixQ+MwsnddaGgo4eHhyvvikqqJiYmkpaUpB6m9aeHh4W+9XERKSopGzeJ8mzdv5s6dOzx58oTLly8zYsSItxrH806dOsWwYcPe+n3Onz/P3r17GT16dKnGffnll7Ru3RpjY2NUKhUPHjwo0Ofq1at069aNKlWqYGxsTPPmzfnpp5+Knffy5cv06tULa2trVCpVsUnoQYMGKfWs58yZg7u7O/r6+lSsWLHIMeHh4Tg6OqKrq0u1atX47LPPXvqs//3vf7G2tkZXV5emTZty8uRJ5Zq2tjaBgYFMnDjxpfMIIYQQQgghhBDvOikZIcQr0NXVZcGCBQwfPhxTU9OyDueVmJiYlHUIfyszM7OyDqGAqlWr/i33WbFiBT4+PhgaGpZqXEZGBh06dKBDhw5Mnjy50D5dunTB1taWH3/8ET09PZYtW0aXLl1ISEgocs0zMjKoXbs2Pj4+xZZoyMnJYffu3ezZswfI26nr4+ODm5sb69atK3TMkiVLWLx4MYsWLaJp06Y8fvyYxMTEYp/zu+++Y9y4caxevZqmTZuybNkyvLy8iI+PVw7h69evH59//jmXL1+mQYMGxc4nhBDvMutJe97q/InzO7/V+YUQQgghxOuTHcJCvAJPT0/MzMyYN29eqcbll09Ys2YNlpaW6Ovr07t3b9LS0pQ+p06dol27dlSpUgUTExNatWrF2bNni5wzMTERlUrF5s2badGiBXp6ejRu3JirV69y6tQpXF1dMTQ0pGPHjty9e1cZ93zJCF9fX44cOUJoaCgqlQqVSqUk0Y4cOUKTJk3Q0dHB3NycSZMm8ezZMwAiIyOpXLkymZmZGjF1796d/v37l3hdtmzZgoODA3p6elSuXBlPT08eP36sEWdwcDBVq1bF2NiYESNGkJWVpTFHbm4uEyZMoFKlSpiZmREUFKRx/fmSEflrtm3bNtq0aYO+vj5OTk4cP35cY8zatWuVz6lHjx4sWbKkwM7UVatWUadOHbS1tbG3t2f9+vXKNbVaTVBQEFZWVujo6GBhYaGxS/fFEg0qlYqvvvqKHj16oK+vj62tLbt27dK436VLl+jYsSOGhoZUr16d/v37F1s3OCcnhy1bthQoJXHnzh28vb3R09OjVq1abNiwocDYgIAAJk2aRLNmzQqd+6+//uLatWtMmjQJR0dHbG1tmT9/PhkZGVy6dKnImBo3bsyiRYv4+OOP0dHRKbLfsWPHqFChAo0bNwYgODiYsWPH4uDgUGj/1NRUpk6dSmRkJH379qVOnTo4OjrStWvXIu8BeUlkPz8/Bg0aRP369Vm9ejX6+vp8/fXXSh9TU1M8PDzYtGlTsXMJIYQQQgghhBDvOkkIC/EKtLS0mDt3LitWrOCPP/4o1djr16+zefNmvv/+e/bv38+5c+cYOXKkcv3Ro0cMHDiQo0eP8ssvv2Bra0unTp149OhRsfPOmDGDqVOncvbsWcqXL0/fvn2ZMGECoaGhREdHc/36daZPn17o2NDQUNzc3PDz8yMlJYWUlBQsLS1JTk6mU6dONG7cmPPnz7Nq1SrWrVvH7NmzAfDx8SEnJ0cjaXnnzh327NnD4MGDS7QeKSkp9OnTh8GDBxMXF0dUVBQ9e/ZErVYrfQ4fPqxc+/bbb9m2bRvBwcEa80RERGBgYMCJEydYuHAhM2fO5NChQ8Xee8qUKQQGBhIbG4udnR19+vRRkt0xMTGMGDGCMWPGEBsbS7t27ZgzZ47G+O3btzNmzBg+//xzLl26xPDhwxk0aJBSMmHr1q0sXbqUNWvWcO3aNXbs2FFkMjNfcHAwvXv35sKFC3Tq1Il+/fpx//59AB48eMAHH3yAs7Mzp0+fZv/+/fz555/07t27yPkuXLhAWloarq6uGu2+vr7cvHmTn376iS1btvDFF19w586dYmN7UeXKlbG3tycyMpLHjx/z7Nkz1qxZQ7Vq1WjUqJHSz9raukCCviR27dqFt7d3iUuxHDp0iNzcXJKTk6lXrx7vvfcevXv35ubNmxr9VCqVUi4lKyuLM2fO4OnpqVwvV64cnp6eBX5B0KRJE6Kjo0v9HEIIIYQQQgghxLtESkYI8Yp69OhBw4YNmTFjRpF/vl6Yp0+fEhkZSY0aNYC8P+fv3LkzixcvxszMjA8++ECj/5dffknFihU5cuQIXbp0KXLewMBAvLy8ABgzZgx9+vTh8OHDeHh4ADBkyBCNmsHPMzExQVtbG319fY0/8//iiy+wtLRk5cqVqFQq6taty61bt5g4cSLTp09HT0+Pvn37EhYWho+PDwDffPMNVlZWtG7dukTrkZKSwrNnz+jZsyc1a9YEKJA01dbW5uuvv0ZfX58GDRowc+ZMxo8fz6xZsyhXLu/3Wo6OjsyYMQMAW1tbVq5cyeHDh2nXrl2xa9a5c96ftgYHB9OgQQOuX79O3bp1WbFiBR07dlTqJtvZ2XHs2DF2796tjA8JCcHX11dJ6I8bN45ffvmFkJAQ2rRpQ1JSEmZmZnh6elKhQgWsrKxo0qRJsevh6+tLnz59AJg7dy7Lly/n5MmTdOjQgZUrV+Ls7KxxONzXX3+NpaUlV69exc7OrsB8N27cQEtLSyl9AHl1f/ft28fJkyeV3bfr1q2jXr16xcb2IpVKxQ8//ED37t0xMjKiXLlyVKtWjf3792uUUqlTpw5VqlQp1dwAO3fuZOnSpSXu/9tvv5Gbm8vcuXMJDQ3FxMSEqVOn0q5dOy5cuIC2tjYA9vb2SsmUv/76i5ycHKpXr64xV/Xq1fn111812iwsLLhx40aR98/MzNTYLf/w4cMSxy6EEEIIIYQQQvxdZIewEK9hwYIFREREEBcXV+CaoaGh8nr+oDIrKyslGQzg5uZGbm4u8fHxAPz555/4+flha2uLiYkJxsbGpKenk5SUVGwsjo6Oyr/zk1vPJ1arV69e6h2gcXFxuLm5aezQ9PDwID09XdkZ7efnx8GDB0lOTgbyDvTKP3jvRdHR0RrrsmHDBpycnGjbti0ODg74+Piwdu1aUlNTNcY5OTmhr6+vvHdzcyM9PV1j5+fzzw9gbm7+0ud9foy5uTmAMiY+Pr5A8vbF93FxcUrCPZ+Hh4fyffDx8eHJkyfUrl0bPz8/tm/fruxALklMBgYGGBsbKzGdP3+en376SWMN69atC0BCQkKh8z158gQdHR2NzyMuLo7y5ctr7OKtW7dusQe1FUatVvPZZ59RrVo1oqOjOXnyJN27d8fb25uUlBSl3+HDh/H39y/V3HFxcdy6dYu2bduWeExubi7Z2dksX74cLy8vmjVrxrfffsu1a9c0Drr79ddf6dGjR6niAdDT0yMjI6PI6/PmzcPExER5WVpalvoeQgghhBBCCCHE2yY7hIV4DS1btsTLy4vJkyfj6+urcS02Nlb5t7GxcYnnHDhwIPfu3SM0NJSaNWuio6ODm5tbgZq5L6pQoYLy7/zk34ttubm5JY6jpJydnXFyciIyMpL27dtz+fJl5RCwF7m6umqsS/Xq1dHS0uLQoUMcO3aMgwcPsmLFCqZMmcKJEyeoVatWieN4/lmhZM9b2Jq9yTWytLQkPj6eH374gUOHDjFy5EgWLVrEkSNHCsRbWEz5ceXHlJ6ejre3NwsWLCgwLj+h/aIqVaqQkZFBVlaWskP2Tfnxxx/ZvXs3qampynf8iy++4NChQ0RERDBp0qRXnnvXrl20a9cOXV3dEo/JX4P69esrbVWrVqVKlSpF/kKlSpUqaGlp8eeff2q0//nnnwUOxbt//36xBwFOnjyZcePGKe8fPnwoSWEhhBBCCCGEEO8c2SEsxGuaP38+33//fYF6ozY2Nsrr+T/XT0pK4tatW8r7X375hXLlymFvbw/k1a4dPXo0nTp1okGDBujo6BR7aNiboq2tTU5OjkZbvXr1OH78uEY935iYGIyMjHjvvfeUtqFDhxIeHk5YWBienp5FJsH09PQ01sXIyAjIS3p6eHgQHBzMuXPn0NbWZvv27cq48+fP8+TJE+X9L7/8gqGh4VtNttnb23Pq1CmNthff16tXj5iYGI22mJgYjYSknp4e3t7eLF++nKioKI4fP87FixdfKSYXFxcuX76MtbW1xjra2NhgYGBQ6JiGDRsCcOXKFaWtbt26PHv2jDNnziht8fHxPHjwoFTx5O+WzS/bka9cuXKvnVjfuXMn3bp1K9WY/N3a+bvtIS+J+9dffynlSF6kra1No0aNOHz4sNKWm5vL4cOHcXNz0+h76dIlnJ2di7y/jo4OxsbGGi8hhBBCCCGEEOJdIzuEhXhNDg4O9OvXj+XLl5eov66uLgMHDiQkJISHDx8yevRoevfurexGtLW1Zf369bi6uvLw4UPGjx+Pnp7e23wEIO/grxMnTpCYmIihoSGVKlVi5MiRLFu2jFGjRuHv7098fDwzZsxg3LhxGknAvn37EhgYyNq1a4mMjCzVfU+cOMHhw4dp37491apV48SJE9y9e1ejnm1WVhZDhgxh6tSpJCYmMmPGDPz9/QskIt+kUaNG0bJlS5YsWYK3tzc//vgj+/bt0yi9MH78eHr37o2zszOenp58//33bNu2jR9++AHIK5+Rk5ND06ZN0dfX55tvvkFPT6/I5OTLfPbZZ6xdu5Y+ffowYcIEKlWqxPXr19m0aRNfffUVWlpaBcZUrVoVFxcXjh49qiSH7e3t6dChA8OHD2fVqlWUL1+egICAAt+z27dvc/v2ba5fvw7AxYsXMTIywsrKikqVKuHm5oapqSkDBw5UakqvXbuW33//XanNDNC2bVt69OihlI3IyspSEtRZWVkkJycTGxuLoaEhNjY23Llzh9OnT2scVgh5v0y5f/8+SUlJ5OTkKLvNbWxsMDQ0xM7Ojm7dujFmzBi+/PJLjI2NmTx5MnXr1qVNmzbKPHXr1mXevHlK2Yhx48YxcOBAXF1dadKkCcuWLePx48cMGjRI4/7R0dHMmjWrtB+bEEK8UxLnd355JyGEEEII8a8mO4SFeANmzpxZ4h2RNjY29OzZk06dOtG+fXscHR354osvlOvr1q0jNTUVFxcX+vfvz+jRozV2GL8tgYGBaGlpUb9+fapWrUpSUhI1atRg7969nDx5EicnJ0aMGKEkZp9nYmJCr169MDQ0pHv37qW6r7GxMT///DOdOnXCzs6OqVOnsnjxYjp27Kj0adu2Lba2trRs2ZKPPvqIrl27EhQU9AaeumgeHh6sXr2aJUuW4OTkxP79+xk7dqxGCYPu3bsTGhpKSEgIDRo0YM2aNYSFhSkH6lWsWJG1a9fi4eGBo6MjP/zwA99//z2VK1d+pZgsLCyIiYkhJyeH9u3b4+DgQEBAABUrViw2OT506FA2bNig0RYWFoaFhQWtWrWiZ8+eDBs2rMD3bPXq1Tg7O+Pn5wfklUhxdnZWErVVqlRh//79pKen88EHH+Dq6srRo0fZuXMnTk5OyjwJCQkau9xv3bqFs7Mzzs7OpKSkEBISgrOzM0OHDgXg+++/p0mTJgUOops+fTrOzs7MmDGD9PR0ZY7Tp08rfSIjI2natCmdO3emVatWVKhQgf3792uU4oiPjyctLU15/9FHHxESEsL06dNp2LAhsbGx7N+/X+OguePHj5OWlsaHH35Y5DoLIYQQQgghhBD/BCr1838LLoR4q4KCgtixY4dGHd1/i7Zt29KgQYMS75QuKV9fXx48eMCOHTve6Lyvws/Pj19//ZXo6OiyDqVUnjx5gr29Pd99912BMgjvoq5du9K8eXMmTJhQ1qEoPvroI5ycnPjPf/5T4jEPHz7ExMSEtLQ0KR8hhBBCCCGEEOKtK+nPoVIyQgjxWlJTU4mKiiIqKkpjp/O/QUhICO3atcPAwIB9+/YRERHxj3xGPT09IiMj/5Za1G9C8+bN6dOnT1mHocjKysLBwYGxY8eWdShCCCGEEEIIIcRrk4SwEOK1ODs7k5qayoIFC5SD8f4tTp48ycKFC3n06BG1a9dm+fLlSlmDf5r8Mhb/BO/SzmDIO3juxTIpQgghhBBCCCHEP5XUEBbibxQUFPRa5SJUKtVrl07w9fUtdZ3f4iQmJpKWlkZgYKBGe1BQkHKI2esIDw8v8plbt25NQEBAseNfZ802b97MnTt3ePLkCZcvX2bEiBGvNE9hEhMTUalUf0v5kKysLGxsbDh27Ng7Ec8/zf79+2nYsGGJ64QLIYQQQgghhBDvMkkIC1FCvr6+qFQq5s+fr9G+Y8cOVCpVGUVVeqGhoYSHhyvvS5JU/SdLSUnROKDuXWFpaUlKSgrvv//+W7/X6tWrqVWrFu7u7qUaN3r0aBo1aoSOjk6Ryf0DBw7QrFkzjIyMqFq1Kr169SIxMbHYedVqNdOnT8fc3Bw9PT08PT25du1agX5PnjzBwMCA69evk5KSQt++fbGzs6NcuXJFfmcfPHjAZ599hrm5OTo6OtjZ2bF3795i47l//z79+vXD2NiYihUrMmTIENLT05XrHTp0oEKFCgUO5hNCCCGEEEIIIf6JpGSEEKWgq6vLggULGD58OKampmUdzisxMTEp6xD+VmZmZmUdQqG0tLT+ltjUajUrV65k5syZrzR+8ODBnDhxggsXLhS49vvvv9OtWzfGjRvHhg0bSEtLY+zYsfTs2ZOzZ88WOefChQtZvnw5ERER1KpVi2nTpuHl5cWVK1fQ1dVV+h06dIiaNWtiY2NDYmIiVatWZerUqSxdurTQebOysmjXrh3VqlVjy5Yt1KhRgxs3blCxYsVin7Ffv36kpKRw6NAhsrOzGTRoEMOGDWPjxo1KH19fX5YvX07//v1fsmJCCPFus560p6xD+NdJnN+5rEMQQgghhCgV2SEsRCl4enpiZmbGvHnzSjUuv3zCmjVrsLS0RF9fn969e5OWlqb0OXXqFO3ataNKlSqYmJjQqlWrYpNq+X/iv3nzZlq0aIGenh6NGzfm6tWrnDp1CldXVwwNDenYsSN3795Vxj1fMsLX15cjR44QGhqKSqVCpVIpuzuPHDlCkyZN0NHRwdzcnEmTJvHs2TMAIiMjqVy5MpmZmRoxde/evVQJsy1btuDg4ICenh6VK1fG09OTx48fa8QZHBxM1apVMTY2ZsSIEWRlZWnMkZuby4QJE6hUqRJmZmYEBQVpXH++ZET+mm3bto02bdqgr6+Pk5MTx48f1xizdu1a5XPq0aMHS5Ys0UgqJiQk0K1bN6pXr46hoSGNGzfmhx9+0JjD2tqauXPnMnjwYIyMjLCysuLLL79Urr9YoiEqKgqVSsXhw4dxdXVFX18fd3d34uPjNebduXMnLi4u6OrqUrt2bYKDg5XPpTBnzpwhISGBzp01f1g9efIkzs7O6Orq4urqyrlz5wqMXb58OZ999hm1a9cucu6cnBxmz55NnTp1cHFxITAwkNjYWLKzswsdo1arWbZsGVOnTqVbt244OjoSGRnJrVu3CpT22LlzJ127dlXWMzQ0lAEDBhT5S42vv/6a+/fvs2PHDjw8PLC2tqZVq1Y4OTkVuT5xcXHs37+fr776iqZNm9K8eXNWrFjBpk2buHXrltLP29ub06dPk5CQUORcQgghhBBCCCHEP4EkhIUoBS0tLebOncuKFSv4448/SjX2+vXrbN68me+//579+/dz7tw5Ro4cqVx/9OgRAwcO5OjRo/zyyy/Y2trSqVMnHj16VOy8M2bMYOrUqZw9e5by5cvTt29fJkyYQGhoKNHR0Vy/fp3p06cXOjY0NBQ3Nzf8/PxISUkhJSUFS0tLkpOT6dSpE40bN+b8+fOsWrWKdevWMXv2bAB8fHzIyclh165dylx37txhz549DB48uETrkZKSQp8+fRg8eDBxcXFERUXRs2dP1Gq10ufw4cPKtW+//ZZt27YRHBysMU9ERAQGBgacOHGChQsXMnPmTA4dOlTsvadMmaIkLu3s7OjTp4+SVI2JiWHEiBGMGTOG2NhY2rVrx5w5czTGp6en06lTJw4fPsy5c+fo0KED3t7eJCUlafRbvHixkmwdOXIkn376aYEEb2GxLV68mNOnT1O+fHmN9YyOjmbAgAGMGTOGK1eusGbNGsLDwwvE97zo6Gjs7OwwMjLSiL9Lly7Ur1+fM2fOEBQUVKAGdEk0atSIcuXKERYWRk5ODmlpaaxfvx5PT08qVKgA/P/Ed1RUFJC3q/j27dt4enoq85iYmNC0aVONxHxubi67d++mW7duJY5n165duLm58dlnn1G9enXef/995s6dS05OjtInPDxco8TL8ePHqVixIq6urkqbp6cn5cqV48SJE0qblZUV1atXJzo6uuQLJIQQQgghhBBCvIMkISxEKfXo0YOGDRsyY8aMUo17+vQpkZGRNGzYkJYtWyq7EG/fvg3ABx98wCeffELdunWpV68eX375JRkZGRw5cqTYeQMDA/Hy8qJevXqMGTOGM2fOMG3aNDw8PHB2dmbIkCH89NNPhY41MTFBW1sbfX19zMzMMDMzQ0tLiy+++AJLS0tWrlxJ3bp1lZ26ixcvJjc3Fz09Pfr27UtYWJgy1zfffIOVlRWtW7cu0XqkpKTw7NkzevbsibW1NQ4ODowcORJDQ0Olj7a2Nl9//TUNGjSgc+fOzJw5k+XLl2sc7uXo6MiMGTOwtbVlwIABuLq6cvjw4ZeuWefOnbGzsyM4OJgbN25w/fp1AFasWEHHjh0JDAzEzs6OkSNHFqhB7OTkxPDhw3n//fextbVl1qxZ1KlTRyNBDtCpUydGjhyJjY0NEydOpEqVKkV+FvnmzJlDq1atqF+/PpMmTeLYsWM8ffoUgODgYCZNmsTAgQOpXbs27dq1Y9asWaxZs6bI+W7cuIGFhYVG28aNG8nNzWXdunU0aNCALl26MH78+GLjKkytWrU4ePAg//nPf9DR0aFixYr88ccfbN68WelToUIF7O3t0dfXB1C+79WrV9eYq3r16so1gF9++QWApk2bljie3377jS1btpCTk8PevXuZNm0aixcvVn6RAXnfeXt7e+X97du3qVatmsY85cuXp1KlShrxAFhYWHDjxo0i75+ZmcnDhw81XkIIIYQQQgghxLtGEsJCvIIFCxYQERFBXFxcgWuGhobKa8SIEUq7lZUVNWrUUN67ubmRm5ur7Bj9888/8fPzw9bWFhMTE4yNjUlPTy+w6/RFjo6Oyr/zk2wODg4abXfu3CnV88XFxeHm5qaxk9LDw4P09HRlZ7Sfnx8HDx4kOTkZyNt5mX/w3ouio6M11mXDhg04OTnRtm1bHBwc8PHxYe3ataSmpmqMc3JyUhKJkLdm6enp3Lx5s9DnBzA3N3/p8z4/xtzcHEAZEx8fT5MmTTT6v/g+PT2dwMBA6tWrR8WKFTE0NCQuLq7AZ/X8fVQqFWZmZq8V2/nz55k5c6bGWubv7s7IyCh0vidPnmjU5YW8z9fR0VGj3c3Nrdi4CnP79m38/PwYOHAgp06d4siRI2hra/Phhx8qO71r1KjBr7/+WmANX2bnzp106dKFcuVK/p+p3NxcqlWrxpdffkmjRo346KOPmDJlCqtXr1b69OjRg19//bVUseTT09Mrcp0B5s2bh4mJifKytLR8pfsIIYQQQgghhBBvkxwqJ8QraNmyJV5eXkyePBlfX1+Na/k1YQGMjY1LPOfAgQO5d+8eoaGh1KxZEx0dHdzc3ArUzH1R/p/mA0oy9sW253fUvinOzs44OTkRGRlJ+/btuXz5Mnv2FH5Qjaurq8a6VK9eHS0tLQ4dOsSxY8c4ePAgK1asYMqUKZw4cYJatWqVOI7nnxVK9ryFrVlp1igwMJBDhw4REhKCjY0Nenp6fPjhhwU+qzcdW3p6OsHBwfTs2bPAuBeTvvmqVKnCxYsXX/5Qr+C///0vJiYmLFy4UGn75ptvsLS05MSJEzRr1qzAmPyD9P78808l4Z3/vmHDhsr7Xbt2MX/+/FLFY25uToUKFdDS0lLa6tWrx+3bt8nKykJbW7vQeF5M0j979oz79+8XOPTv/v37VK1atcj7T548mXHjxinvHz58KElhIYQQQgghhBDvHEkIC/GK5s+fT8OGDTX+/BzAxsam0P5JSUncunVL+fP9X375hXLlyinjY2Ji+OKLL+jUqRMAN2/e5K+//nqLT5BHW1tbo8Yq5CXRtm7dilqtVpKSMTExGBkZ8d577yn9hg4dyrJly0hOTsbT07PI5Jeenl6h66JSqfDw8MDDw4Pp06dTs2ZNtm/friTVzp8/z5MnT9DT0wPy1szQ0PCtJtns7e05deqURtuL72NiYvD19aVHjx5AXqI2/zC+t8nFxYX4+Pgiv2OFcXZ2ZtWqVRqfZb169Vi/fj1Pnz5VEsn5JRpKIyMjo8AO3vxkbFGJ71q1amFmZsbhw4eVBPDDhw85ceIEn376KQDXrl3jxo0btGvXrlTxeHh4KOUw8uO6evUq5ubmhSaDIW9n9IMHDzhz5gyNGjUC4McffyQ3N1ejXMXTp09JSEjA2dm5yPvr6Oigo6NTqpiFEEIIIYQQQoi/mySEhXhFDg4O9OvXj+XLl5eov66uLgMHDiQkJISHDx8yevRoevfurexCtLW1Zf369bi6uvLw4UPGjx+vJELfJmtra06cOEFiYiKGhoZUqlSJkSNHsmzZMkaNGoW/vz/x8fHMmDGDcePGaSQA+/btS2BgIGvXriUyMrJU9z1x4gSHDx+mffv2VKtWjRMnTnD37l3q1aun9MnKymLIkCFMnTqVxMREZsyYgb+/f6nKCJTWqFGjaNmyJUuWLMHb25sff/yRffv2aZTCsLW1Zdu2bXh7e6NSqZg2bdpb2YX9ounTp9OlSxesrKz48MMPKVeuHOfPn+fSpUsadXKf16ZNG9LT07l8+TLvv/8+kPe5TZkyBT8/PyZPnkxiYiIhISEFxl6/fp309HRu377NkydPlF3e9evXR1tbm86dO7N06VJmzpxJnz59ePToEf/5z3+oWbOmkjhNTk6mbdu2REZG0qRJE1QqFQEBAcyePRtbW1tq1arFtGnTsLCwoHv37kBeuQhPT0+NciHw/3ffp6enc/fuXWJjY9HW1qZ+/foAfPrpp6xcuZIxY8YwatQorl27xty5cxk9erQyx/bt25k8ebJSNqJevXp06NABPz8/Vq9eTXZ2Nv7+/nz88ccatZd/+eUXZde+EEL8kyXO71zWIQghhBBCiDImNYSFeA0zZ84scSLQxsaGnj170qlTJ9q3b4+joyNffPGFcn3dunWkpqbi4uJC//79GT16dIHDrt6GwMBAtLS0qF+/PlWrViUpKYkaNWqwd+9eTp48iZOTEyNGjFASs88zMTGhV69eGBoaKsm8kjI2Nubnn3+mU6dO2NnZMXXqVBYvXqxxgFvbtm2xtbWlZcuWfPTRR3Tt2pWgoKA38NRF8/DwYPXq1SxZsgQnJyf279/P2LFjNUoyLFmyBFNTU9zd3fH29sbLywsXF5e3GheAl5cXu3fv5uDBgzRu3JhmzZqxdOlSatasWeSYypUr06NHDzZs2KC0GRoa8v3333Px4kWcnZ2ZMmUKCxYsKDB26NChODs7s2bNGq5evYqzszPOzs7cunULyDsIcePGjezYsQNnZ2c6dOiAjo4O+/fvV36ZkZ2dTXx8vEbt3QkTJjBq1CiGDRtG48aNSU9PZ//+/coa79y5k65duxaIJ//+Z86cYePGjTg7Oys76gEsLS05cOAAp06dwtHRkdGjRzNmzBgmTZqk9ElLS1PqdufbsGEDdevWpW3btnTq1InmzZvz5ZdfavT59ttv6devX4EktRBCCCGEEEII8U+jUuef/COEeGuCgoLYsWOHRh3df4u2bdvSoEGDEu+ULilfX18ePHjAjh073ui8r8LPz49ff/2V6Ojosg7llVy4cIF27dqRkJCAoaFhWYdTrL/++gtzc3P++OMP5ZDEsvbXX39hb2/P6dOnS1Xf+uHDh5iYmJCWllaqeuJCCCGEEEIIIcSrKOnPoVIyQgjxSlJTU4mKiiIqKkpjp/O/QUhICO3atcPAwIB9+/YRERHxj35GR0dHFixYwO+//46Dg0NZh1Os+/fvs2TJkncmGQyQmJjIF198UapksBBCCCGEEEII8a6ShLAQ4pU4OzuTmprKggULChys90938uRJFi5cyKNHj6hduzbLly9n6NChZR3Wa/H19S3rEErEzs4OOzu7sg5Dg6urK66urmUdhhBCCCGEEEII8UZIyQghhACioqJo06YNqampVKxYscziUKlUbN++vdQ1md+0kpTs+DvX7N69e9SrV4+TJ09ibW39Vu9VmGbNmjF+/Hh69epV4jFSMkIIIYQQQgghxN+ppD+HyqFyQggBuLu7k5KSgomJyUv7RkVFoVKpePDgwdsPrIyEhoYSHh6uvG/dujUBAQEafUqzZq9rzpw5dOvWrUAyeOvWrbRu3RoTExMMDQ1xdHRk5syZ3L9/H4CUlBT69u2LnZ0d5cqVK/AML9q0aRMqlapAQn7q1KlMmjSpxIdICiGEEEIIIYQQ7yopGSGE+J+XnZ2NtrY2ZmZmZR3KW5eVlYW2tvZL+5Ukyft3rVlGRgbr1q3jwIEDGu1TpkxhwYIFjB07lrlz52JhYcG1a9dYvXo169evZ8yYMWRmZlK1alWmTp3K0qVLi71PYmIigYGBtGjRosC1jh07MnToUPbt20fnzp3f6PMJIcTfyXrSnrIOQZRQ4nz5740QQggh3g7ZISyEeGe1bt2aUaNGERAQgKmpKdWrV2ft2rU8fvyYQYMGYWRkhI2NDfv27QNArVZjY2NDSEiIxjyxsbGoVCquX78O5JVlWLVqFV27dsXAwIA5c+YU2PV748YNvL29MTU1xcDAgAYNGrB3714SExNp06YNAKampqhUKqU+b2ZmJqNHj6ZatWro6urSvHlzTp06VarYXvTHH3/Qp08fKlWqhIGBAa6urpw4cQKAhIQEunXrRvXq1TE0NKRx48b88MMPGuOtra2ZNWsWAwYMwNjYmGHDhhEeHk7FihU5cOAA9erVw9DQkA4dOpCSkqKM8/X1VXbJ+vr6cuTIEUJDQ1GpVKhUKhITEwusWUnmBfjqq6+oV68eurq61K1b96UH9u3duxcdHR2aNWumtJ08eZK5c+eyePFiFi1ahLu7O9bW1rRr146tW7cycOBA5flDQ0MZMGBAsUnunJwc+vXrR3BwMLVr1y5wXUtLi06dOrFp06ZiYxVCCCGEEEIIId51khAWQrzTIiIiqFKlCidPnmTUqFF8+umn+Pj44O7uztmzZ2nfvj39+/cnIyMDlUrF4MGDCQsL05gjLCyMli1bYmNjo7QFBQXRo0cPLl68yODBgwvc97PPPiMzM5Off/6ZixcvsmDBAgwNDbG0tGTr1q0AxMfHk5KSQmhoKAATJkxg69atREREcPbsWWxsbPDy8uL+/fulii1feno6rVq1Ijk5mV27dnH+/HkmTJiglC1IT0+nU6dOHD58mHPnztGhQwe8vb1JSkrSmCckJAQnJyfOnTvHtGnTgLxdtyEhIaxfv56ff/6ZpKQkAgMDC/0MQkNDcXNzw8/Pj5SUFFJSUrC0tCy078vm3bBhA9OnT2fOnDnExcUxd+5cpk2bRkRERKHzAURHR9OoUSONtg0bNmBoaMjIkSMLHVPamsYzZ86kWrVqDBkypMg+TZo0ITo6ulTzCiGEEEIIIYQQ7xpJCAsh3mlOTk5MnToVW1tbJk+ejK6uLlWqVMHPzw9bW1umT5/OvXv3uHDhApC3mzU+Pp6TJ08CeeUgNm7cWCDp27dvXwYNGkTt2rWxsrIqcN+kpCQ8PDxwcHCgdu3adOnShZYtW6KlpUWlSpUAqFatGmZmZpiYmPD48WNWrVrFokWL6NixI/Xr12ft2rXo6emxbt26UsWWb+PGjdy9e5cdO3bQvHlzbGxs6N27N25ubsraDB8+nPfffx9bW1tmzZpFnTp12LVrl8Y8H3zwAZ9//jl16tShTp06yr1Xr16Nq6srLi4u+Pv7c/jw4ULjMDExQVtbG319fczMzDAzM0NLS6vQvi+bd8aMGSxevJiePXtSq1YtevbsydixY1mzZk2h80Hebm0LCwuNtmvXrlG7dm0qVKhQ5LiSOnr0KOvWrWPt2rXF9rOwsODmzZtF1hHOzMzk4cOHGi8hhBBCCCGEEOJdIwlhIcQ7zdHRUfm3lpYWlStXxsHBQWmrXr06AHfu3AHyknadO3fm66+/BuD7778nMzMTHx8fjXldXV2Lve/o0aOZPXs2Hh4ezJgxQ0k4FyUhIYHs7Gw8PDyUtgoVKtCkSRPi4uJKFVu+2NhYnJ2dlQT0i9LT0wkMDKRevXpUrFgRQ0ND4uLiCuwQLuxZ9fX1leQwgLm5ubKGr6O4eR8/fkxCQgJDhgzB0NBQec2ePZuEhIQi53zy5Am6uroabWq1+rVjBXj06BH9+/dn7dq1VKlSpdi+enp65ObmkpmZWej1efPmYWJioryK2kUthBBCCCGEEEKUJUkICyHeaS/uAFWpVBptKpUKQGPX5tChQ9m0aRNPnjwhLCyMjz76CH19fY15DAwMir3v0KFD+e233+jfvz8XL17E1dWVFStWvO7jlCi2fHp6esXOFRgYyPbt25k7dy7R0dHExsbi4OBAVlaWRr/CnrWwdX0TSdbi5k1PTwdg7dq1xMbGKq9Lly7xyy+/FDlnlSpVSE1N1Wizs7Pjt99+Izs7+7XiTUhIIDExEW9vb8qXL0/58uWJjIxk165dlC9fXiNRff/+fQwMDIr8XCZPnkxaWpryunnz5mvFJoQQQgghhBBCvA2SEBZC/Ot06tQJAwMDVq1axf79+4ssyfAylpaWjBgxgm3btvH5558rJQW0tbWBvIPI8tWpUwdtbW1iYmKUtuzsbE6dOkX9+vVfKTZHR0diY2O5f/9+oddjYmLw9fWlR48eODg4YGZmRmJi4is968toa2trPO+rqF69OhYWFvz222/Y2NhovGrVqlXkOGdnZ65cuaLR1rdvX9LT04s8kC7/oLuXqVu3LhcvXtRIUHft2pU2bdoQGxurscv30qVLODs7FzmXjo4OxsbGGi8hhBBCCCGEEOJdU76sAxBCiDdNS0sLX19fJk+ejK2trVJztzQCAgLo2LEjdnZ2pKam8tNPP1GvXj0AatasiUqlYvfu3XTq1Ak9PT0MDQ359NNPGT9+PJUqVcLKyoqFCxeSkZGhcVBZaWLr06cPc+fOpXv37sybNw9zc3POnTuHhYUFbm5u2Nrasm3bNry9vVGpVEybNq3I+ravy9ramhMnTpCYmIihoWGRZSxeJjg4mNGjR2NiYkKHDh3IzMzk9OnTpKamMm7cuELHeHl5MXnyZFJTUzE1NQWgadOmTJgwgc8//5zk5GR69OiBhYUF169fZ/Xq1TRv3pwxY8YAeaU3IG+H8t27d4mNjUVbW5v69eujq6vL+++/r3G//APpXmyPjo6mffv2r/TcQgjxrkic37msQxBCCCGEEGVMdggLIf6VhgwZQlZWFoMGDXql8Tk5OXz22WfUq1ePDh06YGdnp+xGrVGjBsHBwUyaNInq1avj7+8PwPz58+nVqxf9+/fHxcWF69evc+DAASWJWdrYtLW1OXjwINWqVaNTp044ODgwf/585UC3JUuWYGpqiru7O97e3nh5eeHi4vJKz/sygYGBaGlpUb9+fapWrVqgTnFJDR06lK+++oqwsDAcHBxo1aoV4eHhxe4QdnBwwMXFhc2bN2u0L1iwgI0bN3LixAm8vLxo0KAB48aNw9HRkYEDByr9nJ2dcXZ25syZM2zcuBFnZ2c6depUqriTk5M5duzYK3+fhBBCCCGEEEKId4VK/aZO5hFCiHdIdHQ0bdu25ebNm8rBc++Kdzm2d9WePXsYP348ly5doly5v/93mRMnTiQ1NZUvv/yyxGMePnyIiYkJaWlpUj5CCCGEEEIIIcRbV9KfQ6VkhBDiXyUzM5O7d+8SFBSEj4/PO5VwfZdje9d17tyZa9eukZycrFHX9+9SrVq1IktaCCGEEEIIIYQQ/yRSMkII8a/y7bffUrNmTR48eMDChQvLOhwN73Js/wQBAQFlkgwG+PzzzyWBL4QQQgghhBDiX0ESwuIfISoqCpVKxYMHD8o0DpVKxY4dO0o1pnXr1gQEBCjvra2tWbZs2WvNWRJva97SSExMRKVSKYd6FSY8PFw5xOtN8PX1JScnhzNnzlCjRo03Nu+b4OvrS0JCAmfPnuXu3bvAm/1uT5s2jWHDhhXb58Xvo8jz119/Ua1aNf7444+yDkUIIYQQQgghhHirJCEs/hHc3d1JSUnBxMTkpX3fleRxUU6dOvXSpN3/ko8++oirV6+WdRhlpjTf7eLcvn2b0NBQpkyZUqpx27Zto3379lSuXLnI5P3t27fp378/ZmZmGBgY4OLiwtatW186d1RUFC4uLujo6GBjY0N4eHih/QYNGsTUqVMBmDNnDu7u7ujr67/0FwX37t3jvffeK9H/3tVqNdOnT8fc3Bw9PT08PT25du2acr1KlSoMGDCAGTNmFDq+devWxc4vhBBCCCGEEEL8U0gNYfHOy87ORltbGzMzs7IO5Y2oWrVqWYcA5K1rhQoVyjoM9PT00NPTK+swysyb+m5/9dVXuLu7U7NmzVKNe/z4Mc2bN6d37974+fkV2mfAgAE8ePCAXbt2UaVKFTZu3Ejv3r05ffo0zs7OhY75/fff6dy5MyNGjGDDhg0cPnyYoUOHYm5ujpeXl9IvJyeH3bt3s2fPHgCysrLw8fHBzc2NdevWFRv7kCFDcHR0JDk5+aXPuXDhQpYvX05ERAS1atVi2rRpeHl5ceXKFXR1dYG8xHSjRo1YtGgRlSpVIiYmhidPnuDp6anM88MPP6Cvr4+7u/tL7ymEEO8i60l7yjqEf73E+Z3LOgQhhBBCiGLJDmHxylq3bs2oUaMICAjA1NSU6tWrs3btWh4/fsygQYMwMjLCxsaGffv2AXk79GxsbAgJCdGYJzY2FpVKxfXr14G8UgerVq2ia9euGBgYMGfOnAK7fm/cuIG3tzempqYYGBjQoEED9u7dS2JiIm3atAHA1NQUlUqFr68vkHeg1+jRo6lWrRq6uro0b96cU6dOlSq2l3n8+DEDBgzA0NAQc3NzFi9eXKDPiyUjIO/P1Xv06IG+vj62trbs2rWrVHFdu3aNli1boqurS/369Tl06JBG//zSDd999x2tWrVCV1eXDRs2kJuby8yZM3nvvffQ0dGhYcOG7N+/XxmXlZWFv78/5ubm6OrqUrNmTebNm6dcz/+sOnbsiJ6eHrVr12bLli0Fnvm3336jTZs26Ovr4+TkxPHjx5VrL5aMCAoKomHDhqxfvx5ra2tMTEz4+OOPefTokdLn0aNH9OvXDwMDA8zNzVm6dGmBUgipqakMGDAAU1NT9PX16dixo8aO0Pz77t69G3t7e/T19fnwww/JyMggIiICa2trTE1NGT16NDk5OQDMnDmT999/v8DzNWzYkGnTpinvv/rqK+rVq4euri5169bliy++KDAm34vf7fy4Dhw4QL169TA0NKRDhw6kpKQUOQfApk2b8Pb21mgryfexf//+TJ8+XSPp+aJjx44xatQomjRpQu3atZk6dSoVK1bkzJkzRY5ZvXo1tWrVYvHixdSrVw9/f38+/PBDli5dWmDuChUq0LhxYwCCg4MZO3YsDg4OxT7vqlWrePDgAYGBgcX2g7z/HS1btoypU6fSrVs3HB0diYyM5NatWxplVRo0aICFhQXbt28HwMrKijVr1jBy5EgePXrEyJEj+fLLL8usjrEQQgghhBBCCPEmSEJYvJaIiAiqVKnCyZMnGTVqFJ9++ik+Pj64u7tz9uxZ2rdvT//+/cnIyEClUjF48GDCwsI05ggLC6Nly5bY2NgobUFBQfTo0YOLFy8yePDgAvf97LPPyMzM5Oeff+bixYssWLAAQ0NDLC0tlT9lj4+PJyUlhdDQUAAmTJjA1q1biYiI4OzZs9jY2ODl5cX9+/dLFVtxxo8fz5EjR9i5cycHDx4kKiqKs2fPvnRccHAwvXv35sKFC3Tq1Il+/fqVOK7c3Fx69uyJtrY2J06cYPXq1UycOLHQ+0yaNIkxY8YQFxeHl5cXoaGhLF68mJCQEC5cuICXlxddu3ZVEqfLly9n165dbN68mfj4eDZs2IC1tbXGnNOmTaNXr16cP3+efv368fHHHxMXF6fRZ8qUKQQGBhIbG4udnR19+vTh2bNnRa5HQkICO3bsYPfu3ezevZsjR44wf/585fq4ceOIiYlh165dHDp0iOjo6ALr7Ovry+nTp9m1axfHjx9HrVbTqVMnsrOzlT4ZGRksX76cTZs2sX//fqKioujRowd79+5l7969rF+/njVr1ihJ7sGDBxMXF6f8IgHg3LlzXLhwgUGDBgGwYcMGpk+fzpw5c4iLi2Pu3LlMmzaNiIiIIp/3RRkZGYSEhLB+/Xp+/vlnkpKSik183r9/nytXruDq6qrR/qrfxxe5u7vz3Xffcf/+fXJzc9m0aRNPnz7VKKPQunVr5ZcvAMePHy+QZPby8tL4ZQDArl278Pb2RqVSlTieK1euMHPmTCIjIylXruB/xvJ/ARIVFQXk7Va+ffu2RjwmJiY0bdq0QDxNmjQhOjoaAEtLS/7v//4PExMTzp49S8WKFdm8eXORCeHMzEwePnyo8RJCCCGEEEIIId41khAWr8XJyYmpU6dia2vL5MmT0dXVpUqVKvj5+WFra8v06dO5d+8eFy5cAPKSdPHx8Zw8eRLIK1uwcePGAknfvn37MmjQIGrXro2VlVWB+yYlJeHh4YGDgwO1a9emS5cutGzZEi0tLSpVqgRAtWrVMDMzw8TEhMePH7Nq1SoWLVpEx44dqV+/PmvXrkVPT0/5s/SSxlaU9PR01q1bR0hICG3btsXBwYGIiIhiE5/5fH196dOnDzY2NsydO5f09HQljpfF9cMPP/Drr78SGRmJk5MTLVu2ZO7cuYXeJyAggJ49e1KrVi3Mzc0JCQlh4sSJfPzxx9jb27NgwQIaNmyo7GBOSkrC1taW5s2bU7NmTZo3b06fPn005vTx8WHo0KHY2dkxa9YsXF1dWbFihUafwMBAOnfujJ2dHcHBwdy4caPYXde5ubmEh4fz/vvv06JFC/r378/hw4eBvN3BERERyjq///77hIWFKbt4IW/H9K5du/jqq69o0aIFTk5ObNiwgeTkZI0dodnZ2axatQpnZ2datmzJhx9+yNGjR1m3bh3169enS5cutGnThp9++gmA9957Dy8vL40EfVhYGK1ataJ27doAzJgxg8WLFyvr3LNnT8aOHcuaNWuKfN4XZWdns3r1alxdXXFxccHf3195/sIkJSWhVquxsLBQ2l7n+/iizZs3k52dTeXKldHR0WH48OFs375d4xclVlZWmJubK+9v375N9erVNeapXr06Dx8+5MmTJ0rbzp076dq1a4ljyczMpE+fPixatKjQ/28AqFChgrLrOz+W/Pu/GE/+tXwWFhbcuHEDgOTkZD7++GMePHiAi4sLqampfPzxx0WWqJg3bx4mJibKS3YSCyGEEEIIIYR4F0lCWLwWR0dH5d9aWlpUrlxZ40+98xMwd+7cAfKSLZ07d+brr78G4PvvvyczMxMfHx+NeV/c6fii0aNHM3v2bDw8PJgxY4aScC5KQkIC2dnZeHh4KG0VKlSgSZMmym7WksZW3D2ysrJo2rSp0lapUiXs7e1fOvb5dTQwMMDY2LjEaxYXF4elpaVGMtDNza3Q+zy/rg8fPuTWrVsaawLg4eGhrImvry+xsbHY29szevRoDh48WGDOF+/l5uZWYIfw88+XnzTMf77CWFtbY2RkpDEmv/9vv/1GdnY2TZo0Ua6bmJhorHNcXBzly5fX+CwqV66Mvb29Rmz6+vrUqVNHeV+9enWsra0xNDTUaHs+Vj8/P7799luePn1KVlaWRnL+8ePHJCQkMGTIEAwNDZXX7NmzSUhIKPJ5X/RiXM8/f2HyE6z5tXDh9b6PL5o2bRoPHjzghx9+4PTp04wbN47evXtz8eJFpU9kZKRGOZGSiIuL49atW7Rt27bEYyZPnky9evX45JNPiuxTo0YNfv31V43vSEnp6emRkZEB5O00Hjp0KKtWrcLIyIhVq1YxdOhQEhMTi4wtLS1Ned28ebPU9xdCCCH+H3t3HlVV+f7//3kEQWQSBcEBBQWcBxQnnDBNnCjNnFNB8Z3zR9NUytkM0qwccsgU1FTSLDPHTNMUzTGcMEwLscI0BxBRIOD3hz/PtyODOGL1eqy11+Lc+97Xfe19rBZXt9cWERERedJUEJZHcu9LyQwGg8nY3b8GnpmZaRwLDg4mMjKSW7duER4eTrdu3Yw7+e6ytrbOc93g4GB+/vlnevfuzYkTJ3Lclfow8pPbk5DTc3zQZ5Yf93uu96pTpw6//PIL06ZN49atW3Tt2pWXX375gde935+JvObfvSav+Q/rfn9+c1o7ICAAS0tLvvjiC7766ivS09ONzyQ5ORmAxYsXEx0dbTxOnjzJ999//0h5ZWVl5Trf0dERuNM3+XE7d+4c8+bNY+nSpbRs2ZJatWoxadIkfHx8+PDDD3O9zsXFhT/++MNk7I8//sDOzs74EsENGzbw/PPPmxSy72fnzp2sXbsWc3NzzM3NjcVkR0dHJk2alGsud9e/N597X+h39epV44sfGzdunK3tRatWrbL9T5S7LC0tsbOzMzlEREREREREnjUqCMtT165dO6ytrVmwYAFbt27Nd0uGe7m6ujJw4EA+//xzRo0axeLFiwGwsLAAMGkhULFiRSwsLIiKijKOpaenc+jQIapWrfpYcqtYsSKFCxfmwIEDxrFr165x5syZh7q/v8srrypVqnDhwgWTl47lp/hoZ2dH6dKlTZ4JQFRUlMkzsbOzo1u3bixevJhPP/2UdevWcfXq1VzX+v7776lSpcoD32N+VahQgcKFC5v08U1MTDR5zlWqVOGvv/4y+S6uXLlCbGysyb09DHNzc/r27Ut4eDjh4eF0797dWOB0dnamdOnS/Pzzz3h4eJgc7u7uj7RuXipWrIidnR0xMTEmY4/jz+Pd3bL39uo1MzPLs0jfqFGjbG0utm/fbrKj/Msvv+TFF198oHzWrVvHsWPHjMX2jz/+GIA9e/YwZMiQHK9xd3fHxcXFJJ+kpCQOHDiQbYf7yZMn8fb2zhbjbj9iERERERERkX8684JOQP57zMzMCAwMJCQkBE9Pz1zbG+RlxIgRtG3bFi8vL65du8a3335rLEKWL18eg8HAxo0badeuHVZWVtjY2DBo0CBef/11ihcvTrly5ZgxYwYpKSn079//seRmY2ND//79ef311ylRogQlS5bkzTffzPGlVw8qr7xatWqFl5cXffv2ZebMmSQlJfHmm2/mK+7rr7/OpEmTqFixIrVr1yY8PJzo6GhWrlwJwHvvvUepUqXw9vamUKFCrF27FhcXF4oVK2aMsXbtWnx8fGjSpAkrV67k4MGDxr7MT4KtrS19+/Y1fpclS5Zk0qRJFCpUyLj72NPTkxdffJEBAwawaNEibG1tGTduHGXKlHngAmROgoODjX/e7i2oT5kyheHDh2Nvb0+bNm1ITU3l8OHDXLt2jddee+2R185JoUKFaNWqFXv37qVjx45A/v88Xr16lfj4eH7//XfgzssY4c6uWhcXFypXroyHhwevvvoq7777LiVKlGD9+vVs376djRs3GuP06dOHMmXKGNtGDBw4kHnz5jFmzBj69evHzp07WbNmDZs2bQLutAy5+9K/v4uPjzfmlJGRQXR0NAAeHh7Y2NiYtNIA+PPPP4E7/xPg7p/L3377jZYtW7J8+XLq16+PwWBgxIgRvPXWW3h6euLu7s6ECRMoXbq08XnBneL3kSNHcu3BLSLybxAX1r6gUxARERGRAqYdwlIg+vfvT1paGkFBQQ91fUZGBkOGDKFKlSq0adMGLy8v5s+fD9zpHzplyhTGjRuHs7MzQ4cOBSAsLIzOnTvTu3dv6tSpw9mzZ9m2bRsODg6PLbeZM2fStGlTAgICaNWqFU2aNKFu3boPdY/3yi2vQoUK8cUXX3Dr1i3q169PcHAw06dPz1fM4cOH89prrzFq1Chq1KjB1q1b2bBhA56ensCd4uuMGTPw8fGhXr16xMXFsXnzZpOi4pQpU4iMjKRmzZosX76c1atXP/Iu3Pt57733aNSoER06dDD+Ff4qVaqYtB4IDw+nbt26dOjQgUaNGpGVlcXmzZuztWN4GJ6envj6+lK5cmWTHr1wp1j88ccfEx4eTo0aNWjevDkRERFPdIfw3XUjIyNNdu3m58/jhg0b8Pb2pn37OwWC7t274+3tzcKFC4E77Ss2b96Mk5MTAQEBxu952bJltGvXzhgnPj7eZJe6u7s7mzZtYvv27dSqVYtZs2bx8ccf4+/vD9zphV2/fn1ju4u7Jk6ciLe3N5MmTSI5ORlvb2+8vb05fPhwvp9Feno6sbGxxt3NAGPGjGHYsGH873//o169eiQnJ7N161aTPzNffvkl5cqVo2nTpvleS0REREREROSfxpCVV2NKkSdkz549tGzZkgsXLhhfPPeseFZzexbzMhgMfPHFFya7LAvCzZs3KVOmDLNmzTLZ8f2kZGVl4enpyeDBg5/Yrt8HlZWVRYMGDRg5ciQ9evQo6HTu64UXXqBJkyaMGTOmoFMxatiwIcOHD6dnz56PJV5SUhL29vYkJiaqn7CIiIiIiIg8cfn9PVQtI+SpSk1N5fLly0yePJkuXbo8M4VNeHZze1bzKkg//PADP/74I/Xr1ycxMZGpU6cCPJZ2EPdz+fJlIiMjuXjx4kPvcH8SDAYDH330ESdOnCjoVPKlSZMmz1Th+s8//+Sll156pnISEREREREReRLUMkKeqtWrV1O+fHmuX7/OjBkzCjodE89qbs9qXgXt3XffpVatWrRq1YqbN2+yZ8+ebO0HnoSSJUsydepUPvroo2ztRgpa7dq16d27d0GnkS9jxozB1dW1oNMwcnR0ZMyYMcY+1CIiIiIiIiL/VmoZISJP1K5du2jRogXXrl0zeRndP22Ne8XFxeHu7s4PP/xA7dq1n8qaufHz86N27dp88MEHuc6JiIhgxIgRXL9+/YnnExsbS/Pmzfnpp5+wtbV94us9DgsXLmTTpk189dVXjy2mWkaIiIiIiIjI05Tf30O1Q1hEnihfX18SEhKwt7e/79xdu3ZhMBieStHy3+Tzzz9n2rRpxs9ubm7ZisPdunXjzJkzTyWfkJAQhg0bZlIMzsrK4qOPPqJBgwbY2NhQrFgxfHx8+OCDD4wvfzt16hSdO3fGzc0Ng8GQZ4Eb7rwo0mAwMGLEiDzn3b59m8DAQGrUqIG5uXmOPa/79evH0aNH2bNnT7Zzu3btYvLkyfe7bREREREREZF/BPUQFpEnJj09HQsLC1xcXAo6lX+k9PR0ChcufN95xYsXv+8cKysrrKysHkdaeYqPj2fjxo3MnTvXZLx37958/vnnjB8/nnnz5uHk5MSxY8f44IMPcHNzo2PHjqSkpFChQgW6dOnCyJEj81zn0KFDLFq0iJo1a943p4yMDKysrBg+fDjr1q3LcY6FhQU9e/Zkzpw5NG3aFLiza/ill14yzklLS2Pu3LkMHz48X9+LiMizyG3cpoJOQSRf4sLaF3QKIiIi/1raISzyH+Tn58ewYcMYMWIEDg4OODs7s3jxYm7evElQUBC2trZ4eHiwZcsW4M7uTg8PD959912TONHR0RgMBs6ePQvcebHZggULeOGFF7C2tmb69OnZdv2eP3+egIAAHBwcsLa2plq1amzevJm4uDhatGgBgIODAwaDgcDAQODOi/WGDx9OyZIlKVKkCE2aNOHQoUN53uPevXtp2rQpVlZWuLq6Mnz4cG7evGk8f+3aNfr06YODgwNFixalbdu2/PTTTwDcvHkTOzs7PvvsM5OY69evx9ramhs3buS45qlTp+jQoQN2dnbY2trStGlTzp07B9wpYD7//PM4Ojpib29P8+bNOXr0qMn1OT2/yZMnU7t2bVasWIGbmxv29vZ0797dJAc/Pz/jLlk/Pz/Onz/PyJEjMRgMxp64ERERJu008hM3MzOT0NBQ3N3dsbKyolatWtmeyb3WrFlDrVq1KFOmjMnYypUrWb16NW+88Qb16tXDzc2NF198kZ07dxq/93r16jFz5ky6d++OpaVlrmskJyfTq1cvFi9enK8+ztbW1ixYsIABAwbk+T8nAgIC2LBhA7du3QLA1dWVF154gS+++IJTp07x3HPPAajPsIiIiIiIiPyjqSAs8h+1bNkyHB0dOXjwIMOGDWPQoEF06dIFX19fjh49SuvWrenduzcpKSkYDAb69etHeHi4SYzw8HCaNWuGh4eHcWzy5Ml06tSJEydO0K9fv2zrDhkyhNTUVL777jtOnDjBO++8g42NDa6ursbdm7GxsSQkJDB79mzgzgvI1q1bx7Jlyzh69CgeHh74+/tz9erVHO/t3LlztGnThs6dO3P8+HE+/fRT9u7dy9ChQ41zAgMDOXz4MBs2bGD//v1kZWXRrl070tPTsba2pnv37jne78svv5xjX9zffvuNZs2aYWlpyc6dOzly5Aj9+vXjr7/+AuDGjRv07duXvXv38v333+Pp6Um7du2yFZdzen7nzp1j/fr1bNy4kY0bN7J7927CwsJyvPfPP/+csmXLMnXqVBISEkhISMhxXn7ihoaGsnz5chYuXMipU6cYOXIkr7zyCrt378415p49e/Dx8TEZW7lyJZUqVeLFF1/MNt9gMOSrncjfDRkyhPbt29OqVasczwcGBuLn5/dAMQF8fHz466+/OHDgAADt27dn27ZtfP3112zevJm5c+cyatQozM1z/ss1qampJCUlmRwiIiIiIiIizxq1jBD5j6pVqxbjx48H7vR8DQsLw9HRkQEDBgAwceJEFixYwPHjx2nYsCGBgYFMnDiRgwcPUr9+fdLT01m1alW2XcM9e/YkKCjI+Pnnn382OR8fH0/nzp2pUaMGABUqVDCeu9v6oGTJksbdrDdv3mTBggVERETQtm1bABYvXsz27dtZsmQJr7/+erZ7Cw0NpVevXsZds56ensyZM4fmzZuzYMECLly4wIYNG4iKisLX1xe4U7R0dXVl/fr1dOnSheDgYGP/41KlSnHp0iU2b97MN998k+Pz/PDDD7G3tycyMtLYTsDLy8t4/u7u0rs++ugjihUrxu7du+nQoUOuzw/u7NSNiIgwFqJ79+7Njh07mD59erY8ihcvjpmZGba2tvdt1ZFX3NTUVN5++22++eYbGjVqBNz5rvbu3cuiRYto3rx5jjHPnz+frSD8008/UalSpTxzya/IyEiOHj2a5w7xUqVKkZmZ+cCxixYtir29PefPnwdg69atTJkyhdatW/P7778zfPhwXn75ZYYOHYqZmVm260NDQ5kyZcoDrysiIiIiIiLyNGmHsMh/1N97r5qZmVGiRAljkRbA2dkZgEuXLgFQunRp2rdvz9KlSwH46quvSE1NpUuXLiZx7y0G3mv48OG89dZbNG7cmEmTJnH8+PE85587d4709HQaN25sHCtcuDD169fn9OnTOV5z7NgxIiIisLGxMR7+/v5kZmbyyy+/cPr0aczNzWnQoIHxmhIlSlCpUiVjzPr161OtWjWWLVsGwCeffEL58uVp1qxZjmtGR0fTtGnTXHvL/vHHHwwYMABPT0/s7e2xs7MjOTmZ+Ph4k3k5PT83NzeTXcl3C9SPKq+4Z8+eJSUlheeff97kOS5fvtzYBiMnt27dokiRIiZjWVlZj5wrwIULF/i///s/Vq5cmW2Nv7u7s/lhWFlZGV9y98svv/Dll1/SqVMnqlWrxo4dO0hPT8+12BwSEkJiYqLxuHDhwkPlICIiIiIiIvIkqSAs8h91b+HSYDCYjN3tk/r34ldwcDCRkZHcunWL8PBwunXrRtGiRU3iWFtb57lucHAwP//8M7179+bEiRP4+PhkewHZo0pOTubVV18lOjraeBw7doyffvqJihUr5jtOcHAwERERwJ12EUFBQbn2j73fC9v69u1LdHQ0s2fPZt++fURHR1OiRAnS0tJM5uX0/HL6rh5mB+yDxE1OTgZg06ZNJs8xJiYmzz7Cjo6OXLt2zWTMy8uLH3/88ZHzPXLkCJcuXaJOnTqYm5tjbm7O7t27mTNnDubm5mRkZDzyGlevXsXJyQmAQYMGUbJkSeM5CwsLRo8enWvR39LSEjs7O5NDRERERERE5FmjgrCI5Fu7du2ML+jaunVrjj2C88PV1ZWBAwfy+eefM2rUKBYvXgzcKbgBJoW9ihUrYmFhQVRUlHEsPT2dQ4cOUbVq1Rzj16lTh5iYGDw8PLIdFhYWVKlSxaRXLMCVK1eIjY01ifnKK69w/vx55syZQ0xMDH379s31nmrWrMmePXtIT0/P8XxUVBTDhw+nXbt2VKtWDUtLS/788898PK0HZ2Fh8cjF0apVq2JpaUl8fHy2Z+jq6prrdd7e3sTExJiM9ezZkzNnzvDll19mm5+VlUViYmK+cmrZsiUnTpwwKVD7+PjQq1cvoqOjc2zj8CDOnTvH7du38fb2Nhn38/Nj8uTJjxRbRERERERE5FmhHsIikm9mZmYEBgYSEhKCp6ensbfsgxgxYgRt27bFy8uLa9eu8e2331KlShUAypcvj8FgYOPGjbRr1w4rKytsbGwYNGgQr7/+OsWLF6dcuXLMmDGDlJQU+vfvn+MaY8eOpWHDhgwdOpTg4GCsra2JiYlh+/btzJs3D09PT1588UUGDBjAokWLsLW1Zdy4cZQpU8bkxWcODg689NJLvP7667Ru3ZqyZcvmel9Dhw5l7ty5dO/enZCQEOzt7fn++++pX78+lSpVwtPTkxUrVuDj40NSUhKvv/76fXcVPyw3Nze+++47unfvjqWlJY6Ojg8cw9bWltGjRzNy5EgyMzNp0qQJiYmJREVFYWdnl2tx3N/fn+DgYDIyMowF2q5du/LFF1/Qo0cPxo8fT+vWrXFycuLEiRO8//77DBs2jI4dO5KWlmYsJqelpfHbb78RHR2NjY0NHh4e2NraUr16dZP1rK2tKVGihMl4SEgIv/32m0nbiJiYGNLS0rh69So3btwgOjoagNq1axvn7NmzhwoVKjzQLnIRkX+auLD2BZ2CiIiIiBQw7RAWkQfSv39/0tLSsr34LL8yMjIYMmQIVapUoU2bNnh5eTF//nwAypQpw5QpUxg3bhzOzs4MHToUgLCwMDp37kzv3r2pU6cOZ8+eZdu2bTg4OOS4Rs2aNdm9ezdnzpyhadOmeHt7M3HiREqXLm2cEx4eTt26denQoQONGjUiKyuLzZs3Z2sHcPd+77cbukSJEuzcuZPk5GSaN29O3bp1Wbx4sTHekiVLuHbtGnXq1KF3794MHz7cpB3B4zR16lTi4uKoWLGisf3Bw5g2bRoTJkwgNDTU+H1t2rQJd3f3XK9p27Yt5ubmJi/fMxgMrFq1ivfee4/169fTvHlzatasyeTJk3nxxRfx9/cH4Pfff8fb2xtvb28SEhJ499138fb2Jjg4+IHyTkhIyNabuV27dnh7e/PVV1+xa9cu4zp/t3r1auNLFUVERERERET+rQxZj+ttPyLyn7Bnzx5atmzJhQsXjC+e+zdbsWIFI0eO5Pfffze2tJC8ffjhh2zYsIFt27YVdCr5durUKZ577jnOnDmDvb39Y4mZlJSEvb09iYmJ6icsIiIiIiIiT1x+fw9VywgRyZfU1FQuX77M5MmT6dKly7++GJySkkJCQgJhYWG8+uqrKgY/gFdffZXr169z48YNbG1tCzqdfElISGD58uWPrRgsIiIiIiIi8qxSywgRyZfVq1dTvnx5rl+/zowZMwo6nSduxowZVK5cGRcXF0JCQgo6nX8Uc3Nz3nzzzX9MMRigVatWxtYVIiIiIiIiIv9mKgiLSL4EBgaSkZHBkSNHKFOmTEGn88RNnjyZ9PR0duzYgY2NTb6u2bVrFwaDgevXrz+xvJ7GGo8qNjYWFxcXbty4UdCpPDbdu3dn1qxZBZ2GiIiIiIiIyCNTQVhE5DHx9fUlISEhX20HnqXC7uPOJSQkhGHDhhl3CN++fZvAwEBq1KiBubk5HTt2zPP6qKgozM3NqV279n3Xmj59Or6+vhQtWpRixYo9VL537//e4+LFi8Y548ePZ/r06SQmJj7UGiIiIiIiIiLPCvUQFhF5DNLT07GwsMDFxaWgUylQ8fHxbNy4kblz5xrHMjIysLKyYvjw4axbty7P669fv06fPn1o2bIlf/zxx33XS0tLo0uXLjRq1IglS5Y8Uu6xsbEmTfdLlixp/Ll69epUrFiRTz75hCFDhjzSOiIiBclt3KaCTkHuIy6sfUGnICIiIv9y2iEsIv9qfn5+DBs2jBEjRuDg4ICzszOLFy/m5s2bBAUFYWtri4eHB1u2bAEgKysLDw8P3n33XZM40dHRGAwGzp49C4DBYGDBggW88MILWFtbM3369Gw7bc+fP09AQAAODg5YW1tTrVo1Nm/eTFxcHC1atADAwcEBg8FAYGAgcOflfcOHD6dkyZIUKVKEJk2acOjQoTzvce/evTRt2hQrKytcXV0ZPnw4N2/eNJ5fsWIFPj4+2Nra4uLiQs+ePbl06RJAnrlkZmYSGhqKu7s7VlZW1KpVi88++yzPXNasWUOtWrVM2opYW1uzYMECBgwYcN+C+cCBA+nZsyeNGjXKc95dU6ZMYeTIkdSoUSPH83e/kx07duDj40PRokXx9fUlNjY229ySJUvi4uJiPAoVMv1PZEBAAJGRkfnKS0RERERERORZpYKwiPzrLVu2DEdHRw4ePMiwYcMYNGgQXbp0wdfXl6NHj9K6dWt69+5NSkoKBoOBfv36ER4ebhIjPDycZs2a4eHhYRybPHkynTp14sSJE/Tr1y/bukOGDCE1NZXvvvuOEydO8M4772BjY4Orq6txp2xsbCwJCQnMnj0bgDFjxrBu3TqWLVvG0aNH8fDwwN/fn6tXr+Z4b+fOnaNNmzZ07tyZ48eP8+mnn7J3716GDh1qnJOens60adM4duwY69evJy4uzlj0zSuX0NBQli9fzsKFCzl16hQjR47klVdeYffu3bk+6z179uDj43O/ryRH4eHh/Pzzz0yaNCnH8xERERgMhoeK/eabbzJr1iwOHz6Mubl5jt9X7dq1KVWqFM8//zxRUVHZztevX5+DBw+Smpqa4xqpqakkJSWZHCIiIiIiIiLPGhWEReRfr1atWowfPx5PT09CQkIoUqQIjo6ODBgwAE9PTyZOnMiVK1c4fvw4cOcFerGxsRw8eBC4U1BdtWpVtiJiz549CQoKokKFCpQrVy7buvHx8TRu3JgaNWpQoUIFOnToQLNmzTAzM6N48eLA/9uVam9vz82bN1mwYAEzZ86kbdu2VK1alcWLF2NlZZVrO4TQ0FB69erFiBEj8PT0xNfXlzlz5rB8+XJu374NQL9+/Wjbti0VKlSgYcOGzJkzhy1btpCcnJxrLqmpqbz99tssXboUf39/KlSoQGBgIK+88gqLFi3K9VmfP3+e0qVLP+A3BD/99BPjxo3jk08+wdw8525G9vb2VKpU6YFjw51ew82bN6dq1aqMGzeOffv2GZ9PqVKlWLhwIevWrWPdunW4urri5+fH0aNHTWKULl2atLQ0k97CfxcaGoq9vb3xcHV1fahcRURERERERJ4kFYRF5F+vZs2axp/NzMwoUaKESYsBZ2dnAGMbhdKlS9O+fXuWLl0KwFdffUVqaipdunQxiXu/nbDDhw/nrbfeonHjxkyaNMlYcM7NuXPnSE9Pp3HjxsaxwoULU79+fU6fPp3jNceOHSMiIgIbGxvj4e/vT2ZmJr/88gsAR44cISAggHLlymFra0vz5s2BOwXr3Jw9e5aUlBSef/55k9jLly/n3LlzuV5369YtihQpkud93isjI4OePXsyZcoUvLy8cp3XqVMnfvzxxweKfdff/wyUKlUK+H/fd6VKlXj11VepW7cuvr6+LF26FF9fX95//32TGFZWVgCkpKTkuEZISAiJiYnG48KFCw+Vq4iIiIiIiMiTpJfKici/XuHChU0+GwwGk7G7bQgyMzONY8HBwfTu3Zv333+f8PBwunXrRtGiRU3iWFtb57lucHAw/v7+bNq0ia+//prQ0FBmzZrFsGHDHvWWjJKTk3n11VcZPnx4tnPlypXj5s2b+Pv74+/vz8qVK3FyciI+Ph5/f3/S0tLyjAuwadMmk37AAJaWlrle5+joyLVr1x7oHm7cuMHhw4f54YcfjK0uMjMzycrKwtzcnK+//prnnnvugWLe637f973q16/P3r17Tcbutu1wcnLK8RpLS8s8n42IiIiIiIjIs0AFYRGRHLRr1874MrStW7fy3XffPVQcV1dXBg4cyMCBAwkJCWHx4sUMGzYMCwsL4M7u2LsqVqyIhYUFUVFRlC9fHrjTruLQoUOMGDEix/h16tQhJibGpLfx3504cYIrV64QFhZmbGFw+PBhkzk55VK1alUsLS2Jj4837ijOD29vb2JiYvI9H8DOzo4TJ06YjM2fP5+dO3fy2Wef4e7u/kDxHofo6GjjTuK7Tp48SdmyZXF0dHzq+YiIiIiIiIg8LioIi4jkwMzMjMDAQEJCQvD09KRRo0YPHGPEiBG0bdsWLy8vrl27xrfffkuVKlUAKF++PAaDgY0bN9KuXTusrKywsbFh0KBBvP766xQvXpxy5coxY8YMUlJS6N+/f45rjB07loYNGzJ06FCCg4OxtrYmJiaG7du3M2/ePMqVK4eFhQVz585l4MCBnDx5kmnTppnEyCkXW1tbRo8ezciRI8nMzKRJkyYkJiYSFRWFnZ0dffv2zTEff39/goODycjIwMzMzDgeExNDWloaV69e5caNG0RHRwN3XuRWqFAhqlevbhKnZMmSFClSxGT8iy++ICQkxKRtRHx8PFevXiU+Pp6MjAxjXA8PD2xsbPL1PX3wwQe4u7tTrVo1bt++zccff8zOnTv5+uuvTebt2bOH1q1b5yumiMizKi6sfUGnICIiIiIFTD2ERURy0b9/f9LS0ggKCnqo6zMyMhgyZAhVqlShTZs2eHl5MX/+fADKlCnDlClTGDduHM7OzsZWCWFhYXTu3JnevXtTp04dzp49y7Zt23BwcMhxjZo1a7J7927OnDlD06ZN8fb2ZuLEicYXuzk5OREREcHatWupWrUqYWFhvPvuuyYxcstl2rRpTJgwgdDQUOM9bNq0Kc8du23btsXc3JxvvvnGZLxdu3Z4e3vz1VdfsWvXLry9vfH29n6g55mYmEhsbKzJ2MSJE/H29mbSpEkkJycb4967CzovaWlpjBo1iho1atC8eXOOHTvGN998Q8uWLY1zbt++zfr16xkwYMAD5SwiIiIiIiLyrDFkZWVlFXQSIiLPoj179tCyZUsuXLhgfPGc3N+HH37Ihg0b2LZtW0Gn8tgsWLCAL774Ituu4bwkJSVhb29PYmIidnZ2TzA7ERERERERkfz/HqqWESIi90hNTeXy5ctMnjyZLl26qBj8gF599VWuX7/OjRs3sLW1Leh0HovChQszd+7cgk5DRERERERE5JFph7CIyD0iIiLo378/tWvXZsOGDZQpU6agU5J/IO0QFhERERERkacpv7+HqoewiMg9AgMDycjI4MiRI/+KYvCuXbswGAxcv369oFPJtytXrlCyZEni4uIKOhViYmIoW7YsN2/eLOhURERERERERB6ZCsIiIv9yvr6+JCQkYG9vf9+5D1s8jouLw2AwEB0d/XBJ3mP69Om8+OKLuLm5GceGDx9O3bp1sbS0pHbt2nlef/bsWWxtbSlWrNh917p9+zZDhgyhRIkS2NjY0LlzZ/744w/j+apVq9KwYUPee++9h7wbERERERERkWeHegiLiPyLpaenY2FhgYuLS0Gnkm8pKSksWbIkx5fS9evXjwMHDnD8+PFcr09PT6dHjx40bdqUffv23Xe9kSNHsmnTJtauXYu9vT1Dhw7lpZdeIioqyjgnKCiIAQMGEBISgrm5/tMpIv9cbuM2FXQKz4S4sPYFnYKIiIhIgdEOYRGRAuDn58ewYcMYMWIEDg4OODs7s3jxYm7evElQUBC2trZ4eHiwZcsWALKysvDw8ODdd981iRMdHY3BYODs2bMAGAwGFixYwAsvvIC1tTXTp0/Ptuv3/PnzBAQE4ODggLW1NdWqVWPz5s3ExcXRokULABwcHDAYDAQGBgKwdetWmjRpQrFixShRogQdOnTg3Llzxjzc3d0B8Pb2xmAw4OfnZzz38ccfU6VKFYoUKULlypWZP39+ns9m8+bNWFpa0rBhQ5PxOXPmMGTIECpUqJDn9ePHj6dy5cp07do1z3kAiYmJLFmyhPfee4/nnnuOunXrEh4ezr59+/j++++N855//nmuXr3K7t277xtTRERERERE5FmmgrCISAFZtmwZjo6OHDx4kGHDhjFo0CC6dOmCr68vR48epXXr1vTu3ZuUlBQMBgP9+vUjPDzcJEZ4eDjNmjXDw8PDODZ58mQ6derEiRMn6NevX7Z1hwwZQmpqKt999x0nTpzgnXfewcbGBldXV9atWwdAbGwsCQkJzJ49G4CbN2/y2muvcfjwYXbs2EGhQoXo1KkTmZmZABw8eBCAb775hoSEBD7//HMAVq5cycSJE5k+fTqnT5/m7bffZsKECSxbtizX57Jnzx7q1q37UM90586drF27lg8//DDH83eL43d7Ex85coT09HRatWplnFO5cmXKlSvH/v37jWMWFhbUrl2bPXv25Lp2amoqSUlJJoeIiIiIiIjIs0Z/71VEpIDUqlWL8ePHAxASEkJYWBiOjo4MGDAAgIkTJ7JgwQKOHz9Ow4YNCQwMZOLEiRw8eJD69euTnp7OqlWrsu0a7tmzJ0FBQcbPP//8s8n5+Ph4OnfuTI0aNQBMdtwWL14cgJIlS5r03+3cubNJjKVLl+Lk5ERMTAzVq1fHyckJgBIlSpi0p5g0aRKzZs3ipZdeAu7sJI6JiWHRokX07ds3x+dy/vx5SpcufZ+nl92VK1cIDAzkk08+yfVtqkWLFqVSpUoULlwYgIsXL2JhYZGt17CzszMXL140GStdujTnz5/Pdf3Q0FCmTJnywHmLiIiIiIiIPE3aISwiUkBq1qxp/NnMzIwSJUoYi7RwpygJcOnSJeBOQbJ9+/YsXboUgK+++orU1FS6dOliEtfHxyfPdYcPH85bb71F48aNmTRpUp79eO/66aef6NGjBxUqVMDOzs74srf4+Phcr7l58ybnzp2jf//+2NjYGI+33nrLpN3EvW7dukWRIkXum9O9BgwYQM+ePWnWrFmuc+rXr8+PP/5ImTJlHji+lZUVKSkpuZ4PCQkhMTHReFy4cOGB1xARERERERF50lQQFhEpIHd3qd5lMBhMxgwGA4CxLQNAcHAwkZGR3Lp1i/DwcLp160bRokVN4lhbW+e5bnBwMD///DO9e/fmxIkT+Pj4MHfu3DyvCQgI4OrVqyxevJgDBw5w4MABANLS0nK9Jjk5GYDFixcTHR1tPE6ePGnSn/dejo6OXLt2Lc98crJz507effddzM3NMTc3p3///iQmJmJubm4sot/LxcWFtLQ0Y3/lu/74449sL+K7evWqcSd0TiwtLbGzszM5RERERERERJ41KgiLiPyDtGvXDmtraxYsWMDWrVtz7BGcH66urgwcOJDPP/+cUaNGsXjxYuBOr1yAjIwM49wrV64QGxvL+PHjadmyJVWqVMlWsM3pOmdnZ0qXLs3PP/+Mh4eHyXH3JXQ58fb2JiYm5oHvaf/+/SaF56lTp2Jra0t0dDSdOnXK8Zq6detSuHBhduzYYRyLjY0lPj6eRo0amcw9efIk3t7eD5yXiIiIiIiIyLNEPYRFRP5BzMzMCAwMJCQkBE9Pz2xFy/wYMWIEbdu2xcvLi2vXrvHtt99SpUoVAMqXL4/BYGDjxo20a9cOKysrHBwcKFGiBB999BGlSpUiPj6ecePGmcQsWbIkVlZWbN26lbJly1KkSBHs7e2ZMmUKw4cPx97enjZt2pCamsrhw4e5du0ar732Wo75+fv7ExISwrVr13BwcDCOnz17luTkZC5evMitW7eIjo4GoGrVqlhYWBjv4a7Dhw9TqFAhqlevbhw7ePAgffr0YceOHZQpUwZ7e3v69+/Pa6+9RvHixbGzs2PYsGE0atSIhg0bGq+Li4vjLG0BqwABAABJREFUt99+M3n5nIjIP1FcWPuCTkFERERECph2CIuI/MP079+ftLQ0kxfHPYiMjAyGDBlClSpVaNOmDV5eXsyfPx+AMmXKMGXKFMaNG4ezszNDhw6lUKFCREZGcuTIEapXr87IkSOZOXOmSUxzc3PmzJnDokWLKF26NC+++CJwpz3Fxx9/THh4ODVq1KB58+ZERETkuUO4Ro0a1KlThzVr1piMBwcH4+3tzaJFizhz5gze3t54e3vz+++/5/veU1JSiI2NJT093Tj2/vvv06FDBzp37kyzZs1wcXHh888/N7lu9erVtG7dmvLly+d7LREREREREZFnkSErKyuroJMQEZH827NnDy1btuTChQvGF8/922zatInXX3+dkydPUqhQwf6/y7S0NDw9PVm1ahWNGzfO93VJSUnY29uTmJiofsIiIiIiIiLyxOX391C1jBAR+YdITU3l8uXLTJ48mS5duvxri8EA7du356effuK3337D1dW1QHOJj4/njTfeeKBisIiIiIiIiMizSi0jRET+IVavXk358uW5fv06M2bMKOh0HkpERATFihXL19wRI0Y8cjE4Li4Og8Fg7Df8MDw8PKhUqRIGg4Hr168/Uj4iIiIiIiIiBU0FYRGRf4jAwEAyMjI4cuQIZcqUKeh0Hkq3bt04c+bMU1vP1dWVhIQE44vldu3apcKuiIiIiIiI/KepZYSIiDw1VlZWWFlZPbX1zMzMcHFxeWrriYg869zGbSroFP7z4sLaF3QKIiIi8h+nHcIiIv8Bfn5+DBs2jBEjRuDg4ICzszOLFy/m5s2bBAUFYWtri4eHB1u2bCErKwsPDw/effddkxjR0dEYDAbOnj0L3Omt++KLL2JjY4OdnR1du3bljz/+yDOPe1tGTJ48mdq1a7NixQrc3Nywt7ene/fu3LhxwzgnNTWV4cOHU7JkSYoUKUKTJk04dOiQ8fy1a9fo1asXTk5OWFlZ4enpSXh4OGDaMiIuLo4WLVoA4ODggMFgIDAwMF9riIiIiIiIiPxbqCAsIvIfsWzZMhwdHTl48CDDhg1j0KBBdOnSBV9fX44ePUrr1q3p3bs3t27dol+/fsai6l3h4eE0a9YMDw8PMjMzefHFF7l69Sq7d+9m+/bt/Pzzz3Tr1u2B8zp37hzr169n48aNbNy4kd27dxMWFmY8P2bMGNatW8eyZcs4evQoHh4e+Pv7c/XqVQAmTJhATEwMW7Zs4fTp0yxYsABHR8ds67i6urJu3ToAYmNjSUhIYPbs2flaQ0REREREROTfQgVhEZH/iFq1ajF+/Hg8PT0JCQmhSJEiODo6MmDAADw9PZk4cSJXrlzh+PHjBAYGEhsby8GDBwFIT09n1apV9OvXD4AdO3Zw4sQJVq1aRd26dWnQoAHLly9n9+7dD7yzNjMzk4iICKpXr07Tpk3p3bs3O3bsAODmzZssWLCAmTNn0rZtW6pWrcrixYuxsrJiyZIlwJ2dyt7e3vj4+ODm5karVq0ICAjIto6ZmRnFixcHoGTJkri4uGBvb5+vNfIjNTWVpKQkk0NERERERETkWaOCsIjIf0TNmjWNP5uZmVGiRAlq1KhhHHN2dgbg0qVLlC5dmvbt27N06VIAvvrqK1JTU+nSpQsAp0+fxtXVFVdXV+P1VatWpVixYpw+fRqAatWqYWNjg42NDW3bts01Lzc3N2xtbY2fS5UqxaVLl4A7u4fT09Np3Lix8XzhwoWpX7++cZ1BgwYRGRlJ7dq1GTNmDPv27Xug55KfNfIjNDQUe3t74/H3ZyMiIiIiIiLyrFBBWETkP6Jw4cImnw0Gg8mYwWAA7uzYBQgODiYyMpJbt24RHh5Ot27dKFq0aL7X27x5M9HR0URHR/Pxxx8/UF53c8iPtm3bcv78eUaOHMnvv/9Oy5YtGT16dL6vf1xCQkJITEw0HhcuXHjqOYiIiIiIiIjcjwrCIiKSo3bt2mFtbc2CBQvYunWrsV0EQJUqVbhw4YJJ0TMmJobr169TtWpVAMqXL4+HhwceHh6UKVPmoXKoWLEiFhYWREVFGcfS09M5dOiQcR0AJycn+vbtyyeffMIHH3zARx99lGM8CwsLADIyMh54jfuxtLTEzs7O5BARERERERF51pgXdAIiIvJsMjMzIzAwkJCQEDw9PWnUqJHxXKtWrahRowa9evXigw8+4K+//mLw4ME0b94cHx+fx5aDtbU1gwYN4vXXX6d48eKUK1eOGTNmkJKSQv/+/QGYOHEidevWpVq1aqSmprJx40aqVKmSY7zy5ctjMBjYuHEj7dq1w8rKChsbm/uuISLybxEX1r6gUxARERGRAqYdwiIikqv+/fuTlpZGUFCQybjBYODLL7/EwcGBZs2a0apVKypUqMCnn3762HMICwujc+fO9O7dmzp16nD27Fm2bduGg4MDcGfXb0hICDVr1qRZs2aYmZkRGRmZY6wyZcowZcoUxo0bh7OzM0OHDs3XGiIiIiIiIiL/FoasrKysgk5CRESeTXv27KFly5ZcuHDB+NI5yZ+kpCTs7e1JTExU+wgRERERERF54vL7e6haRoiISDapqalcvnyZyZMn06VLFxWDRURERERERP4l1DJCRESyWb16NeXLl+f69evMmDGjoNMRERERERERkcdEBWERkX8pPz8/RowY8VDXBgYGkpGRga2tLTNnznyseUVERFCsWLFHjmMwGFi/fv0jxxERERERERH5L1FBWEQkB9999x0BAQGULl06x8JjYGAgBoPB5GjTpk2B5Lpr1y4MBgPXr18vkPULSkJCAm3btgUgLi4Og8FAdHT0A8dRYVlERERERET+S9RDWEQkBzdv3qRWrVr069ePl156Kcc5bdq0ITw83PjZ0tLyaaUngIuLS0GnICLyj+M2blNBpyDPkLiw9gWdgoiIiBQA7RAWEclB27Zteeutt+jUqVOucywtLXFxcTEeDg4Oeca8u5N327ZteHt7Y2VlxXPPPcelS5fYsmULVapUwc7Ojp49e5KSkmK8LjMzk9DQUNzd3bGysqJWrVp89tlnwJ2dsS1atADAwcEBg8FAYGCgybVjxoyhePHiuLi4MHnyZOO5fv360aFDB5Mc09PTKVmyJEuWLMnxHtzc3Jg2bRo9evTA2tqaMmXK8OGHH5rMee+996hRowbW1ta4uroyePBgkpOTc30ukydPpnbt2ixdupRy5cphY2PD4MGDycjIYMaMGbi4uFCyZEmmT59uct3fd/a6u7sD4O3tjcFgwM/PD4BDhw7x/PPP4+joiL29Pc2bN+fo0aMm9wPQqVMnDAaD8TPAl19+SZ06dShSpAgVKlRgypQp/PXXX7neh4iIiIiIiMg/gQrCIiIPadeuXZQsWZJKlSoxaNAgrly5kq/rJk+ezLx589i3bx8XLlyga9eufPDBB6xatYpNmzbx9ddfM3fuXOP80NBQli9fzsKFCzl16hQjR47klVdeYffu3bi6urJu3ToAYmNjSUhIYPbs2cZrly1bhrW1NQcOHGDGjBlMnTqV7du3AxAcHMzWrVtJSEgwzt+4cSMpKSl069Yt1/xnzpxJrVq1+OGHHxg3bhz/93//Z4wJUKhQIebMmcOpU6dYtmwZO3fuZMyYMXk+k3PnzrFlyxa2bt3K6tWrWbJkCe3bt+fXX39l9+7dvPPOO4wfP54DBw7keP3BgwcB+Oabb0hISODzzz8H4MaNG/Tt25e9e/fy/fff4+npSbt27bhx4wZwp2AMEB4eTkJCgvHznj176NOnD//3f/9HTEwMixYtIiIiIltRWkREREREROSfRi0jREQeQps2bXjppZdwd3fn3LlzvPHGG7Rt25b9+/djZmaW57VvvfUWjRs3BqB///6EhIRw7tw5KlSoAMDLL7/Mt99+y9ixY0lNTeXtt9/mm2++oVGjRgBUqFCBvXv3smjRIpo3b07x4sUBKFmyZLaXtdWsWZNJkyYB4Onpybx589ixYwfPP/88vr6+VKpUiRUrVhgLtuHh4XTp0gUbG5tc82/cuDHjxo0DwMvLi6ioKN5//32ef/55AJMX2bm5ufHWW28xcOBA5s+fn2vMzMxMli5diq2tLVWrVqVFixbExsayefNmChUqRKVKlXjnnXf49ttvadCgQbbrnZycAChRooRJK4nnnnvOZN5HH31EsWLF2L17Nx06dDBeV6xYMZPrpkyZwrhx4+jbty9w55lPmzaNMWPGGJ/nvVJTU0lNTTV+TkpKyvV+RURERERERAqKCsIiIg+he/fuxp9r1KhBzZo1qVixIrt27aJly5a0bduWPXv2AFC+fHlOnTplnF+zZk3jz87OzhQtWtRYDL47dnfH69mzZ0lJSTEWW+9KS0vD29v7vnn+fS2AUqVKcenSJePn4OBgPvroI8aMGcMff/zBli1b2LlzZ54x7xam//75gw8+MH7+5ptvCA0N5ccffyQpKYm//vqL27dvk5KSQtGiRXOM6ebmhq2trfGzs7MzZmZmFCpUyGTs77nnxx9//MH48ePZtWsXly5dIiMjg5SUFOLj4/O87tixY0RFRZnsCM7IyMjzPkJDQ5kyZcoD5SciIiIiIiLytKkgLCLyGFSoUAFHR0fOnj1Ly5Yt+fjjj7l16xYAhQsXNpn7988GgyHbeYPBQGZmJoCx9+6mTZsoU6aMybz8vMQur9gAffr0Ydy4cezfv599+/bh7u5O06ZN7xs3N3FxcXTo0IFBgwYxffp0ihcvzt69e+nfvz9paWm5FoRzyvN+uedH3759uXLlCrNnz6Z8+fJYWlrSqFEj0tLS8rwuOTmZKVOm5PhCwSJFiuR4TUhICK+99prxc1JSEq6urg+Ur4iIiIiIiMiTpoKwiMhj8Ouvv3LlyhVKlSoFkK14+7CqVq2KpaUl8fHxNG/ePMc5FhYWwJ0drA+qRIkSdOzYkfDwcPbv309QUNB9r/n++++zfa5SpQoAR44cITMzk1mzZhl3965Zs+aB83pQuT2DqKgo5s+fT7t27QC4cOECf/75p8mcwoULZ7uuTp06xMbG4uHhke8cLC0t81WkFxERERERESlIKgiLiOQgOTmZs2fPGj//8ssvREdHU7x4cYoXL86UKVPo3LkzLi4unDt3jjFjxuDh4YG/v/9jzcPW1pbRo0czcuRIMjMzadKkCYmJiURFRWFnZ0ffvn0pX748BoOBjRs30q5dO6ysrPLsAXyv4OBgOnToQEZGhrFnbl6ioqKYMWMGHTt2ZPv27axdu5ZNmzYB4OHhQXp6OnPnziUgIICoqCgWLlz40PefXyVLlsTKyoqtW7dStmxZihQpgr29PZ6enqxYsQIfHx+SkpJ4/fXXsbKyMrnWzc2NHTt20LhxYywtLXFwcGDixIl06NCBcuXK8fLLL1OoUCGOHTvGyZMneeutt574/YiIPClxYe0LOgURERERKWCF7j9FROS/5/Dhw3h7exv79L722mt4e3szceJEzMzMOH78OC+88AJeXl7079+funXrsmfPnieyQ3TatGlMmDCB0NBQqlSpQps2bdi0aRPu7u7And3Id1+C5uzszNChQx8ofqtWrShVqhT+/v6ULl36vvNHjRplfD5vvfUW7733nrEQXqtWLd577z3eeecdqlevzsqVKwkNDX3wm35A5ubmzJkzh0WLFlG6dGlefPFFAJYsWcK1a9eoU6cOvXv3Zvjw4ZQsWdLk2lmzZrF9+3ZcXV2N37e/vz8bN27k66+/pl69ejRs2JD333+f8uXLP/F7EREREREREXmSDFlZWVkFnYSIiBSc5ORkypQpQ3h4eI49c//Ozc2NESNGMGLEiKeT3D9YUlIS9vb2JCYmYmdnV9DpiIiIiIiIyL9cfn8PVcsIEZH/qMzMTP78809mzZpFsWLFeOGFFwo6JRERERERERF5wlQQFhH5j4qPj8fd3Z2yZcsSERGBubn+kyAiIiIiIiLyb6cewiIiudi1axcGg4Hr168XaIwntY6bmxtZWVlcuHCBli1b5uuauLi4J9ouYsmSJbRu3fqJxX8Yf/75JyVLluTXX38t6FREREREREREHpkKwiIigJ+fn/riPoTJkydTu3btxxLr9u3bTJgwgUmTJpnENxgMtGnTJtv8mTNnYjAY8PPze+j5d/36669YWFhQvXr1bOccHR3p06ePSV4iIiIiIiIi/1T6+8EiIvJM+Oyzz7Czs6Nx48Ym46VKleLbb7/l119/pWzZssbxpUuXUq5cuWxxHnQ+QEREBF27duW7777jwIEDNGjQwOR8UFAQdevWZebMmRQvXvxRblNE/sPcxm0q6BSIC2tf0CmIiIiISAHTDmER+Ufx8/Nj2LBhjBgxAgcHB5ydnVm8eDE3b94kKCgIW1tbPDw82LJli8l1J0+epG3bttjY2ODs7Ezv3r35888/AQgMDGT37t3Mnj0bg8GAwWAgLi7OeO2RI0fw8fGhaNGi+Pr6EhsbC9xpn1CoUCEOHz5sstYHH3xA+fLlyczMzJZ/REQExYoVY+PGjVSqVImiRYvy8ssvk5KSwrJly3Bzc8PBwYHhw4eTkZFhvG7FihX4+Phga2uLi4sLPXv25NKlS3k+q3Xr1lGtWjUsLS1xc3Nj1qxZJufd3Nx4++236devH7a2tpQrV46PPvrIZM7YsWPx8vKiaNGiVKhQgQkTJpCenm68lylTpnDs2DHjc4uIiADg+vXrBAcH4+TkhJ2dHc899xzHjh3LM9/IyEgCAgKyjZcsWZLWrVuzbNky49i+ffv4888/ad8+e2HjQednZWURHh5O79696dmzJ0uWLMk2p1q1apQuXZovvvgiz3sQERERERERedapICwi/zjLli3D0dGRgwcPMmzYMAYNGkSXLl3w9fXl6NGjtG7dmt69e5OSkgLcKU4+99xzeHt7c/jwYbZu3coff/xB165dAZg9ezaNGjViwIABJCQkkJCQgKurq3G9N998k1mzZnH48GHMzc3p168fcKeg2qpVK8LDw03yCw8PJzAwkEKFcv5XbEpKCnPmzCEyMpKtW7eya9cuOnXqxObNm9m8eTMrVqxg0aJFfPbZZ8Zr0tPTmTZtGseOHWP9+vXExcURGBiY6zM6cuQIXbt2pXv37pw4cYLJkyczYcIEY8H2rlmzZuHj48MPP/zA4MGDGTRokLHgDWBra0tERAQxMTHMnj2bxYsX8/777wPQrVs3Ro0aRbVq1YzPrVu3bgB06dKFS5cusWXLFo4cOUKdOnVo2bIlV69ezTXnvXv34uPjk+O5fv36meS+dOlSevXqhYWFxSPP//bbb0lJSaFVq1a88sorREZGcvPmzWzz6tevz549e3LNX0REREREROSfQAVhEfnHqVWrFuPHj8fT05OQkBCKFCmCo6MjAwYMwNPTk4kTJ3LlyhWOHz8OwLx58/D29ubtt9+mcuXKeHt7s3TpUr799lvOnDmDvb09FhYWFC1aFBcXF1xcXDAzMzOuN336dJo3b07VqlUZN24c+/bt4/bt2wAEBwezevVqUlNTATh69CgnTpwgKCgo1/zT09NZsGAB3t7eNGvWjJdffpm9e/eyZMkSqlatSocOHWjRogXffvut8Zp+/frRtm1bKlSoQMOGDZkzZw5btmwhOTk5xzXee+89WrZsyYQJE/Dy8iIwMJChQ4cyc+ZMk3nt2rVj8ODBeHh4MHbsWBwdHU3WHT9+PL6+vri5uREQEMDo0aNZs2YNAFZWVtjY2GBubm58blZWVuzdu5eDBw+ydu1afHx88PT05N1336VYsWImRe6/u379OomJiZQuXTrH8x06dCApKYnvvvuOmzdvsmbNGmNh/lHnL1myhO7du2NmZkb16tWpUKECa9euzTavdOnSnD9/Ptc1U1NTSUpKMjlEREREREREnjUqCIvIP07NmjWNP5uZmVGiRAlq1KhhHHN2dgYwtlQ4duwY3377LTY2NsajcuXKAJw7d+6B1itVqpRJ7I4dO2JmZmZsJRAREUGLFi1wc3PLNV7RokWpWLGiSb5ubm7Y2NiYjP29JcSRI0cICAigXLly2Nra0rx5cwDi4+NzXOP06dPZevE2btyYn376yaQVxd/vzWAw4OLiYrLup59+SuPGjXFxccHGxobx48fnuuZdx44dIzk5mRIlSpg8819++SXX533r1i0AihQpkuP5woUL88orrxAeHs7atWvx8vIyyf1h51+/fp3PP/+cV155xTj2yiuv5Ng2wsrKyrjrPCehoaHY29sbj7/vMhcRERERERF5VuilciLyj1O4cGGTzwaDwWTMYDAAGHv4JicnExAQwDvvvJMt1t0Cb37Xuze2hYUFffr0ITw8nJdeeolVq1Yxe/bsR8r/7tjdNW7evIm/vz/+/v6sXLkSJycn4uPj8ff3Jy0t7b75P2gud9fdv38/vXr1YsqUKfj7+2Nvb09kZGS2XsT3Sk5OplSpUuzatSvbuWLFiuV4TYkSJTAYDFy7di3XuP369aNBgwacPHkyz93BDzJ/1apV3L592+QlcllZWWRmZnLmzBm8vLyM41evXsXJySnX9UJCQnjttdeMn5OSklQUFhERERERkWeOCsIi8q9Xp04d1q1bh5ubG+bmOf9rz8LCwmTn7IMIDg6mevXqzJ8/n7/++ouXXnrpUdLN5scff+TKlSuEhYUZC4z3vsjuXlWqVCEqKspkLCoqCi8vL5N2GHnZt28f5cuX58033zSO3dsyIafnVqdOHS5evIi5uXmeO6XvjVO1alViYmJo3bp1jnOqVatGtWrVOH78OD179rxvzPzMX7JkCaNGjcrWj3nw4MEsXbqUsLAw49jJkyfx8/PLdT1LS0ssLS3vm5eIiIiIiIhIQVJBWET+9YYMGcLixYvp0aMHY8aMoXjx4pw9e5bIyEg+/vhjzMzMcHNz48CBA8TFxWFjY0Px4sXzHb9KlSo0bNiQsWPH0q9fP6ysrB5r/uXKlcPCwoK5c+cycOBATp48ybRp0/K8ZtSoUdSrV49p06bRrVs39u/fz7x585g/f36+1/X09CQ+Pp7IyEjq1avHpk2bjK0x7nJzc+OXX34hOjqasmXLYmtrS6tWrWjUqBEdO3ZkxowZeHl58fvvv7Np0yY6deqU64vj/P392bt3LyNGjMg1p507d5Kenp7rTuMHmR8dHc3Ro0dZuXKlsYXIXT169GDq1Km89dZbmJubk5KSwpEjR3j77bfzta6ISE7iwtoXdAoiIiIiIuohLCL/fqVLlyYqKoqMjAxat25NjRo1GDFiBMWKFaNQoTv/Ghw9ejRmZmZUrVrV2JLhQfTv35+0tLR8tTJ4UE5OTkRERLB27VqqVq1KWFgY7777bp7X1KlThzVr1hAZGUn16tWZOHEiU6dOzbYTNi8vvPACI0eOZOjQodSuXZt9+/YxYcIEkzmdO3emTZs2tGjRAicnJ1avXo3BYGDz5s00a9aMoKAgvLy86N69O+fPnzf2d85J//792bx5M4mJibnOsba2zncx+H7z777E795iMECnTp24dOkSmzdvBuDLL7+kXLlyNG3aNN9ri4iIiIiIiDyLDFlZWVkFnYSIyD/dtGnTWLt2LcePHy/oVP7RunTpQp06dQgJCSnoVEw0bNiQ4cOH56tVxV1JSUnY29uTmJiInZ3dE8xOREREREREJP+/h2qHsIjII0hOTubkyZPMmzePYcOGFXQ6/3gzZ87ExsamoNMw8eeff/LSSy/Ro0ePgk5FRERERERE5JFph7CIyCMIDAxk9erVdOzYkVWrVuX7hW3y76cdwiIiIiIiIvI05ff3UBWERUREngAVhEVERERERORpUssIEZF/ibi4OAwGA9HR0U9sjcDAQDp27JjnHD8/P0aMGHHfWM2aNWPVqlWPJ7FnwMKFCwkICCjoNEREREREREQeC/OCTkBERAre7NmzeRx/YWTDhg388ccfdO/eHYCrV68yadIkvv76a+Lj43FycqJjx45MmzYNe3t743Xx8fEMGjSIb7/9FhsbG/r27UtoaCjm5rn/Z2ry5MlERkZy4cIFLCwsqFu3LtOnT6dBgwYPlPOaNWt4++23OXPmDE5OTgwdOpTXX3/deL5fv35MmzaNPXv20LRp0wd8IiIizxa3cZsKOoWnJi6sfUGnICIiIvJMUkFYRERMirOPYs6cOQQFBVGo0J2/gPL777/z+++/8+6771K1alXOnz/PwIED+f333/nss88AyMjIoH379ri4uLBv3z4SEhLo06cPhQsX5u233851LS8vL+bNm0eFChW4desW77//Pq1bt+bs2bM4OTnlK98tW7bQq1cv5s6dS+vWrTl9+jQDBgzAysqKoUOHAmBhYUHPnj2ZM2eOCsIiIiIiIiLyj6eWESIiOfDz82PYsGGMGDECBwcHnJ2dWbx4MTdv3iQoKAhbW1s8PDzYsmWLyXUnT56kbdu22NjY4OzsTO/evfnzzz+N57du3UqTJk0oVqwYJUqUoEOHDpw7d84kxsGDB/H29qZIkSL4+Pjwww8/3DffFStW4OPjg62tLS4uLvTs2ZNLly6ZzDl16hQdOnTAzs4OW1tbmjZtalz73pYRN2/epE+fPtjY2FCqVClmzZp13xwuX77Mzp07TdorVK9enXXr1hEQEEDFihV57rnnmD59Ol999RV//fUXAF9//TUxMTF88skn1K5dm7Zt2zJt2jQ+/PBD0tLScl2vZ8+etGrVigoVKlCtWjXee+89kpKSOH78OPD/Wm18/vnntGjRgqJFi1KrVi32799v8tw6duzIwIEDqVChAu3btyckJIR33nnHZMd0QEAAGzZs4NatW/d9DiIiIiIiIiLPMhWERURysWzZMhwdHTl48CDDhg1j0KBBdOnSBV9fX44ePUrr1q3p3bs3KSkpAFy/fp3nnnsOb29vDh8+zNatW/njjz/o2rWrMebNmzd57bXXOHz4MDt27KBQoUJ06tSJzMxMAJKTk+nQoQNVq1blyJEjTJ48mdGjR9831/T0dKZNm8axY8dYv349cXFxBAYGGs//9ttvNGvWDEtLS3bu3MmRI0fo16+fsSh7r9dff53du3fz5Zdf8vXXX7Nr1y6OHj2aZw579+6laNGiVKlSJc95d5vb320HsX//fmrUqIGzs7Nxjr+/P0lJSZw6dQr4f8XdXbt25RgzLS2Njz76CHt7e2rVqmVy7s0332T06NFER0fj5eVFjx49jPedmppKkSJFTOZbWVnx66+/cv78eeOYj48Pf/31FwcOHMj1vlJTU0lKSjI5RERERERERJ41ahkhIpKLWrVqMX78eABCQkIICwvD0dGRAQMGADBx4kQWLFjA8ePHadiwIfPmzcPb29ukzcHSpUtxdXXlzJkzeHl50blzZ5M1li5dipOTEzExMVSvXp1Vq1aRmZnJkiVLKFKkCNWqVePXX39l0KBBeebar18/488VKlRgzpw51KtXj+TkZGxsbPjwww+xt7cnMjKSwoULA3daLuQkOTmZJUuW8Mknn9CyZUvgTnG8bNmyeeZw/vx5nJ2dje0icvLnn38ybdo0/ve//xnHLl68aFIMBoyfL168CEDhwoWpVKkSRYsWNZm3ceNGunfvTkpKCqVKlWL79u04OjqazBk9ejTt29/pIzllyhSqVavG2bNnqVy5Mv7+/owcOZLAwEBatGjB2bNnjbuhExIScHNzA6Bo0aLY29ubFInvFRoaypQpU/J6RCIiIiIiIiIFTjuERURyUbNmTePPZmZmlChRgho1ahjH7hYt77ZmOHbsmPGlaHePypUrAxhbM/z000/06NGDChUqYGdnZyw4xsfHA3D69Glq1qxpsmu1UaNG9831yJEjBAQEUK5cOWxtbWnevLlJ3OjoaJo2bWosBufl3LlzpKWlmbycrXjx4lSqVCnP627dupVtt+3fJSUl0b59e6pWrcrkyZPvm8fflSlThh9//JH69eubjLdo0YLo6Gj27dtHmzZt6Nq1a7ZWGX//HkuVKgX8v+9swIABDB06lA4dOmBhYUHDhg2NL8S7t7BtZWVl3A2ek5CQEBITE43HhQsXHugeRURERERERJ4GFYRFRHJxb/HUYDCYjBkMBgCTdg8BAQFER0ebHD/99BPNmjUD7vSivXr1KosXL+bAgQPGFgR59cq9n5s3b+Lv74+dnR0rV67k0KFDfPHFFyZxraysHjp+fjk6OnLt2rUcz924cYM2bdpga2vLF198YfIcXVxc+OOPP0zm3/3s4uKS55rW1tZ4eHjQsGFDlixZgrm5OUuWLDGZk9d3ZjAYeOedd0hOTub8+fNcvHjRWHSuUKGCSZyrV6/m+bI6S0tL7OzsTA4RERERERGRZ41aRoiIPCZ16tRh3bp1uLm5Gfvj/t2VK1eIjY1l8eLFNG3aFLjTd/fvqlSpwooVK7h9+7Zxt+3333+f57o//vgjV65cISwsDFdXVwAOHz5sMqdmzZosW7aM9PT0++4SrlixIoULF+bAgQOUK1cOgGvXrnHmzBnjzuOceHt7c/HiRa5du4aDg4NxPCkpCX9/fywtLdmwYUO2XcSNGjVi+vTpXLp0iZIlSwKwfft27OzsqFq1ap653iszM5PU1NQHugbu7AAvU6YMAKtXr6ZRo0Ymxd9z585x+/ZtvL29Hzi2iMizJC6sfUGnICIiIiIFTDuERUQekyFDhnD16lV69OjBoUOHOHfuHNu2bSMoKIiMjAwcHBwoUaIEH330EWfPnmXnzp289tprJjF69uyJwWBgwIABxMTEsHnzZt5999081y1XrhwWFhbMnTuXn3/+mQ0bNjBt2jSTOUOHDiUpKYnu3btz+PBhfvrpJ1asWEFsbGy2eDY2NvTv35/XX3+dnTt3cvLkSQIDA/PsDQx3CsKOjo5ERUUZx5KSkmjdujU3b95kyZIlJCUlcfHiRS5evEhGRgYArVu3pmrVqvTu3Ztjx46xbds2xo8fz5AhQ7C0tATuvBSvcuXKHDx4ELizK/qNN97g+++/5/z588aX5P3222906dIlzzz/7s8//2ThwoX8+OOPREdH83//93+sXbuWDz74wGTenj17qFChAhUrVsx3bBEREREREZFnkQrCIiKPSenSpYmKiiIjI4PWrVtTo0YNRowYQbFixShUqBCFChUiMjKSI0eOUL16dUaOHMnMmTNNYtjY2PDVV19x4sQJvL29efPNN3nnnXfyXNfJyYmIiAjWrl1L1apVCQsLy1ZELlGiBDt37iQ5OZnmzZtTt25dFi9enOtu4ZkzZ9K0aVMCAgJo1aoVTZo0oW7dunnmYWZmRlBQECtXrjSOHT16lAMHDnDixAk8PDwoVaqU8bjbY9fMzIyNGzdiZmZGo0aNeOWVV+jTpw9Tp041xklPTyc2NtbYw9fMzIwff/yRzp074+XlRUBAAFeuXGHPnj1Uq1YtzzzvtWzZMnx8fGjcuDGnTp1i165d2XoVr1692vgyQREREREREZF/MkNWVlZWQSchIiL/DhcvXqRatWocPXqU8uXLF3Q6j8WpU6d47rnnOHPmDPb29vm+LikpCXt7exITE9VPWERERERERJ64/P4eqh3CIiLy2Li4uLBkyRLi4+MLOpXHJiEhgeXLlz9QMVhERERERETkWaWCsIiIZBMREUGxYsUe6tqOHTsaX5r3OBgMBtavX5/nnMDAQDp27PjY1vy7Vq1a4e/v/0Rii4iIiIiIiDxtKgiLiMgzLSEhgbZt2wIQFxeHwWAgOjraZM7s2bOJiIh4IusHBgYSFxf3RGKLiIiIiIiIPG3mBZ2AiMh/TVpaGhYWFv+42I9TVlYWGRkZmJvf/z9DLi4u953zuNs5XL16ldWrVzN48GDj2Llz5/j+++/p1avXY11LRORpchu3qaBTkKcgLqx9QacgIiIizzDtEBYR+Rs/Pz+GDRvGiBEjcHBwwNnZmcWLF3Pz5k2CgoKwtbXFw8ODLVu2AJCRkUH//v1xd3fHysqKSpUqMXv2bJOYd9sZTJ8+ndKlS1OpUiUA9u3bR+3atSlSpAg+Pj6sX7/eZPfro8Q+ceIEzz33HFZWVpQoUYL//e9/JCcnA/Ddd99RuHBhLl68aBJrxIgRebZ6+Oqrr6hXrx5FihTB0dGRTp06Gc+tWLECHx8fbG1tcXFxoWfPnly6dMl4fteuXRgMBrZs2ULdunWxtLRk7969+Pn5MXz4cMaMGUPx4sVxcXFh8uTJJuv+vWWEu7s7AN7e3hgMBvz8/Eyew9+/x/vFvX79OsHBwTg5OWFnZ8dzzz3HsWPHAChSpAi//fYbbdq04ddff2XhwoUEBgYa1xcRERERERH5p1JBWETkHsuWLcPR0ZGDBw8ybNgwBg0aRJcuXfD19eXo0aO0bt2a3r17k5KSQmZmJmXLlmXt2rXExMQwceJE3njjDdasWWMSc8eOHcTGxrJ9+3Y2btxIUlISAQEB1KhRg6NHjzJt2jTGjh1rcs3Dxr558yb+/v44ODhw6NAh1q5dyzfffMPQoUMBaNasGRUqVGDFihXGGOnp6axcuZJ+/frl+Ew2bdpEp06daNeuHT/88AM7duygfv36JtdPmzaNY8eOsX79euLi4ggMDMwWZ9y4cYSFhXH69Glq1qxpfN7W1tYcOHCAGTNmMHXqVLZv355jHgcPHgTgm2++ISEhgc8//zzHefmJ26VLFy5dusSWLVs4cuQIderUoWXLlly9epWiRYvy9ttv83//93/s2rWL77//np07d+Lr65vreqmpqSQlJZkcIiIiIiIiIs8aQ1ZWVlZBJyEi8qzw8/MjIyODPXv2AHd26drb2/PSSy+xfPlyAC5evEipUqXYv38/DRs2zBZj6NChXLx4kc8++wy4s3t169atxMfHG9s5LFy4kPHjx/Prr79SpEgRAD7++GMGDBjADz/8QO3atXPMLz+xFy9ezNixY7lw4QLW1tYAbN68mYCAAH7//XecnZ2ZMWMGERERxMTEAPD555/Tt29fLl68iLW1NREREYwYMYLr168D4OvrS4UKFfjkk0/y9RwPHz5MvXr1uHHjBjY2NuzatYsWLVqwfv16XnzxxVyfN0D9+vV57rnnCAsLA+7sEP7iiy/o2LEjcXFxuLu7Z3tGgYGBXL9+3biT+H5x9+7dS/v27bl06RKWlpbGOR4eHowZM4Y+ffrw9ttvc+DAATIyMvDx8WH//v3MnDnTpBD+d5MnT2bKlCnZxhMTE7Gzs8vXcxMRedLUMuK/QS0jRERE/puSkpKwt7e/7++h2iEsInKPuztXAczMzChRogQ1atQwjjk7OwMYWyJ8+OGH1K1bFycnJ2xsbPjoo4+Ij483iVmjRg2T3r6xsbHUrFnTWAwGciw0Pkzs06dPU6tWLWMxGKBx48ZkZmYSGxsL3Cmgnj17lu+//x6AiIgIunbtanLN30VHR9OyZcsczwEcOXKEgIAAypUrh62tLc2bNwfIlquPj0+2a//+vAFKlSpl0m7iYeUV99ixYyQnJ1OiRAlsbGyMxy+//MK5c+dISUnB2dmZrVu3UrZsWQYOHMjSpUs5c+ZMruuFhISQmJhoPC5cuPDI9yAiIiIiIiLyuOmlciIi9yhcuLDJZ4PBYDJmMBiAOy0dIiMjGT16NLNmzaJRo0bY2toyc+ZMDhw4YBIjt0JrXp5k7JIlSxIQEEB4eDju7u5s2bKFXbt25Trfysoq13N3W1T4+/uzcuVKnJyciI+Px9/fn7S0tPvmmtPzzszMfLAbykFecZOTkylVqlSO91ysWDGKFy/OkCFDTMYrVqxIxYoVc13P0tLSZLexiIiIiIiIyLNIBWERkUcQFRWFr68vgwcPNo6dO3fuvtdVqlSJTz75hNTUVGMR8dChQ48ldpUqVYiIiODmzZvGAmxUVBSFChUyvnQOIDg4mB49elC2bFkqVqxI48aNc41Zs2ZNduzYQVBQULZzP/74I1euXCEsLAxXV1fgTsuIJ+HuTuiMjIxHilOnTh0uXryIubk5bm5uec6NiIh4pLVEREREREREniUqCIuIPAJPT0+WL1/Otm3bcHd3Z8WKFRw6dAh3d/c8r+vZsydvvvkm//vf/xg3bhzx8fG8++67wP/bgfywsXv16sWkSZPo27cvkydP5vLlywwbNozevXsb210A+Pv7Y2dnx1tvvcXUqVPzjDlp0iRatmxJxYoV6d69O3/99RebN29m7NixlCtXDgsLC+bOncvAgQM5efIk06ZNy8/je2AlS5bEysrK2MqhSJEi2NvbP3CcVq1a0ahRIzp27MiMGTPw8vLi999/N748L6fWFiIi/wbqLSsiIiIi6iEsIvIIXn31VV566SW6detGgwYNuHLlismO3tzY2dnx1VdfER0dTe3atXnzzTeZOHEigLGv8MPGLlq0KNu2bePq1avUq1ePl19+mZYtWzJv3jyTeYUKFSIwMJCMjAz69OmTZ0w/Pz/Wrl3Lhg0bqF27Ns899xwHDx4EwMnJiYiICNauXUvVqlUJCwszFrcfN3Nzc+bMmcOiRYsoXbq0yQvqHoTBYGDz5s00a9aMoKAgvLy86N69O+fPnzcpmouIiIiIiIj82xiysrKyCjoJERGBlStXEhQURGJiYp49ex+n/v37c/nyZTZs2PBU1vsvye/bXUVEREREREQeh/z+HqqWESIiBWT58uVUqFCBMmXKcOzYMcaOHUvXrl2fSjE4MTGREydOsGrVKhWDRURERERERP5DVBAWESkgFy9eZOLEiVy8eJFSpUrRpUsXpk+f/lTWfvHFFzl48CADBw7k+eeffyprioiIiIiIiEjBU8sIERF55sTGxtK8eXN++uknbG1tCzSXrVu3Mm7cOI4ePUqhQvlvva+WESIiIiIiIvI05ff3UL1UTkREHtmuXbswGAxcv379scQLCQlh2LBhxmLw7du3CQwMpEaNGpibm9OxY8ds1wQGBmIwGLId1apVy3Otq1ev0qtXL+zs7ChWrBj9+/cnOTnZeL5NmzYULlyYlStXPpZ7ExERERERESlIahkhIvIPl5aWhoWFxT8udm7i4+PZuHEjc+fONY5lZGRgZWXF8OHDWbduXY7XzZ49m7CwMOPnv/76i1q1atGlS5c81+vVqxcJCQls376d9PR0goKC+N///seqVauMcwIDA5kzZw69e/d+xLsTESlYbuM2FXQK/xlxYe0LOgURERGRHGmHsIjIE+Ln58ewYcMYMWIEDg4OODs7s3jxYm7evElQUBC2trZ4eHiwZcsW4zUZGRn0798fd3d3rKysqFSpErNnzzaJGxgYSMeOHZk+fTqlS5emUqVKAOzbt4/atWtTpEgRfHx8WL9+PQaDgejo6EeOvWLFCnx8fLC1tcXFxYWePXty6dIlAOLi4mjRogUADg4OGAwGAgMDAcjMzCQ0NNS4Zq1atfjss8/yfG5r1qyhVq1alClTxjhmbW3NggULGDBgAC4uLjleZ29vj4uLi/E4fPgw165dIygoKNe1Tp8+zdatW/n4449p0KABTZo0Ye7cuURGRvL7778b5wUEBHD48GHOnTuXZ+4iIiIiIiIizzoVhEVEnqBly5bh6OjIwYMHGTZsGIMGDaJLly74+vpy9OhRWrduTe/evUlJSQHuFFDLli3L2rVriYmJYeLEibzxxhusWbPGJO6OHTuIjY1l+/btbNy4kaSkJAICAqhRowZHjx5l2rRpjB071uSah40NkJ6ezrRp0zh27Bjr168nLi7OWPR1dXU17tqNjY0lISHBWGgODQ1l+fLlLFy4kFOnTjFy5EheeeUVdu/enesz27NnDz4+Pg//0P9/S5YsoVWrVpQvX944FhERgcFgMH7ev38/xYoVM1mvVatWFCpUiAMHDhjHypUrh7OzM3v27Ml1vdTUVJKSkkwOERERERERkWeNWkaIiDxBtWrVYvz48cCdvrhhYWE4OjoyYMAAACZOnMiCBQs4fvw4DRs2pHDhwkyZMsV4vbu7O/v372fNmjV07drVOG5tbc3HH39sbOewcOFCDAYDixcvpkiRIlStWpXffvvNuA7w0LEB+vXrZ/y5QoUKzJkzh3r16pGcnIyNjQ3FixcHoGTJkhQrVgy4UyB9++23+eabb2jUqJHx2r1797Jo0SKaN2+e4zM7f/78IxeEf//9d7Zs2WLS9gHu7CK+u+sZ4OLFi5QsWdJkjrm5OcWLF+fixYsm46VLl+b8+fO5rhkaGmryfEVERERERESeRdohLCLyBNWsWdP4s5mZGSVKlKBGjRrGMWdnZwBj+wWADz/8kLp16+Lk5ISNjQ0fffQR8fHxJnFr1KhhUrCNjY2lZs2aFClSxDhWv379bPk8TGyAI0eOEBAQQLly5bC1tTUWc++99u/Onj1LSkoKzz//PDY2NsZj+fLlebZeuHXrlsl9PIxly5ZRrFixbC+f69SpEz/++ONDxbSysjLu5M5JSEgIiYmJxuPChQsPtY6IiIiIiIjIk6QdwiIiT1DhwoVNPhsMBpOxu+0LMjMzAYiMjGT06NHMmjWLRo0aYWtry8yZM03aF8CdXbwP6mFj37x5E39/f/z9/Vm5ciVOTk7Ex8fj7+9PWlparuslJycDsGnTJpN+wACWlpa5Xufo6Mi1a9ce9PaMsrKyWLp0Kb17977vC/FcXFxMivFw52V0V69ezdar+OrVqzg5OeUay9LSMs/7EhEREREREXkWqCAsIvIMiYqKwtfXl8GDBxvH8vMis0qVKvHJJ5+QmppqLEoeOnToscT+8ccfuXLlCmFhYbi6ugJw+PBhkzl3C68ZGRnGsapVq2JpaUl8fHyu7SFy4u3tTUxMTL7n32v37t2cPXuW/v3733duo0aNuH79OkeOHKFu3boA7Ny5k8zMTBo0aGCcd/v2bc6dO4e3t/dD5yUiIiIiIiLyLFBBWETkGeLp6cny5cvZtm0b7u7urFixgkOHDuHu7p7ndT179uTNN9/kf//7H+PGjSM+Pp53330X+H+7kB82drly5bCwsGDu3LkMHDiQkydPMm3aNJM55cuXx2AwsHHjRtq1a4eVlRW2traMHj2akSNHkpmZSZMmTUhMTCQqKgo7Ozv69u2b43r+/v4EBweTkZGBmZmZcTwmJoa0tDSuXr3KjRs3iI6OBqB27dom1y9ZsoQGDRpQvXr1bLG/+OILQkJCjG0jqlSpQps2bRgwYAALFy4kPT2doUOH0r17d0qXLm287vvvv8fS0tLYC1lE5J8qLqx9QacgIiIiIgVMPYRFRJ4hr776Ki+99BLdunWjQYMGXLlyxWRHb27s7Oz46quviI6Opnbt2rz55ptMnDgRwNiP92FjOzk5ERERwdq1a6latSphYWHGYvNdZcqUYcqUKYwbNw5nZ2eGDh0KwLRp05gwYQKhoaHG4uumTZvyLEK3bdsWc3NzvvnmG5Pxdu3a4e3tzVdffcWuXbvw9vbOtmM3MTGRdevW5bo7ODExkdjYWJOxlStXUrlyZVq2bEm7du1o0qQJH330kcmc1atX06tXL4oWLZr3wxIRERERERF5xhmysrKyCjoJERF5/FauXElQUBCJiYlYWVkVdDoP5MMPP2TDhg1s27atoFPhzz//pFKlShw+fPi+u6n/LikpCXt7exITE7Gzs3uCGYqIiIiIiIjk//dQtYwQEfmXWL58ORUqVKBMmTIcO3aMsWPH0rVr139cMRju7Ga+fv06N27cwNbWtkBziYuLY/78+Q9UDBYRERERERF5VmmHsIjIv8SMGTOYP38+Fy9epFSpUnTs2JHp06erzUEB0Q5hEREREREReZry+3uoCsIiIvKPEBgYyPXr11m/fn1Bp5IvKgiLiIiIiIjI05Tf30P1UjkREfnPCgwMpGPHjgWdhoiIiIiIiMhTox7CIiIiIiL/EW7jNj1yjLiw9o8hExEREREpKNohLCIij52fnx/Dhg1jxIgRODg44OzszOLFi7l58yZBQUHY2tri4eHBli1bAMjIyKB///64u7tjZWVFpUqVmD17dp5rZGZmEhoaarymVq1afPbZZ8bz94s5efJkli1bxpdffonBYMBgMLBr1y4ALly4QNeuXSlWrBjFixfnxRdfJC4u7rE/JxEREREREZGnTQVhERF5IpYtW4ajoyMHDx5k2LBhDBo0iC5duuDr68vRo0dp3bo1vXv3JiUlhczMTMqWLcvatWuJiYlh4sSJvPHGG6xZsybX+KGhoSxfvpyFCxdy6tQpRo4cySuvvMLu3bsB7htz9OjRdO3alTZt2pCQkEBCQgK+vr6kp6fj7++Pra0te/bsISoqChsbG9q0aUNaWlqu+aSmppKUlGRyiIiIiIiIiDxr9FI5ERF57Pz8/MjIyGDPnj3And269vb2vPTSSyxfvhyAixcvUqpUKfbv30/Dhg2zxRg6dCgXL1407vr9+0vlUlNTKV68ON988w2NGjUyXhMcHExKSgqrVq3KMa+8Yt71ySef8NZbb3H69GkMBgMAaWlpFCtWjPXr19O6descY0+ePJkpU6ZkG9dL5UTkWaKWESIiIiL/Xvl9qZx6CIuIyBNRs2ZN489mZmaUKFGCGjVqGMecnZ0BuHTpEgAffvghS5cuJT4+nlu3bpGWlkbt2rVzjH327FlSUlJ4/vnnTcbT0tLw9vY2fn6QmHcdO3aMs2fPYmtrazJ++/Ztzp07l+t1ISEhvPbaa8bPSUlJuLq65rmWiIiIiIiIyNOmgrCIiDwRhQsXNvlsMBhMxu7uvs3MzCQyMpLRo0cza9YsGjVqhK2tLTNnzuTAgQM5xk5OTgZg06ZNlClTxuScpaUlwAPH/HvsunXrsnLlymznnJyccr3O0tLSuLaIiIiIiIjIs0oFYRERKXBRUVH4+voyePBg41heu3GrVq2KpaUl8fHxNG/e/KFjWlhYkJGRYTJWp04dPv30U0qWLKlWDyIiIiIiIvKvo4KwiIgUOE9PT5YvX862bdtwd3dnxYoVHDp0CHd39xzn29raMnr0aEaOHElmZiZNmjQhMTGRqKgo7Ozs6Nu3b75iurm5sW3bNmJjYylRogT29vb06tWLmTNn8uKLLzJ16lTKli3L+fPn+fzzzxkzZgxly5Z9Wo9FROSxU/9fERERESlU0AmIiIi8+uqrvPTSS3Tr1o0GDRpw5coVk529OZk2bRoTJkwgNDSUKlWq0KZNGzZt2mQs+OYn5oABA6hUqRI+Pj44OTkRFRVF0aJF+e677yhXrhwvvfQSVapUoX///ty+fVs7hkVEREREROQfz5CVlZVV0EmIiIj82+T37a4iIiIiIiIij0N+fw/VDmERERERERERERGR/wgVhEVERERERERERET+I1QQFhF5ivz8/BgxYgRw54VmH3zwwROL/7QEBgbSsWPHfM2Ni4vDYDAQHR39SGve++wMBgPr169/pJgiIiIiIiIi/wXmBZ2AiMh/1aFDh7C2ti7oNP4VEhIScHBweCKx/fz82LVr1xOJLSIiIiIiIvK0qSAsIlJAnJycCjqFfw0XF5fHGm/jxo2ULl2aOnXqGMciIyOpU6cOXl5ej3UtyZnbuE0FnYLIv1JcWPuCTkFERERECphaRoiIFJCc2h58/PHHdOrUiaJFi+Lp6cmGDRtMrtm9ezf169fH0tKSUqVKMW7cOP76669c10hNTWX06NGUKVMGa2trGjRokG2367p166hWrRqWlpa4ubkxa9Ys47mpU6dSvXr1bHFr167NhAkTclwzMzOTGTNm4OHhgaWlJeXKlWP69Okmc37++WdatGhB0aJFqVWrFvv37893Tjn5e8uIu20pPv/88zzX2Lt3L02bNsXKygpXV1eGDx/OzZs3AahQoQIhISFMmjSJ69ev07VrV7799lscHR3zzENERERERETkWaeCsIjIM2TKlCl07dqV48eP065dO3r16sXVq1cB+O2332jXrh316tXj2LFjLFiwgCVLlvDWW2/lGm/o0KHs37+fyMhIjh8/TpcuXWjTpg0//fQTAEeOHKFr1650796dEydOMHnyZCZMmEBERAQA/fr14/Tp0xw6dMgY84cffuD48eMEBQXluGZISAhhYWFMmDCBmJgYVq1ahbOzs8mcN998k9GjRxMdHY2Xlxc9evQwFrbvl1N+5bXGuXPnaNOmDZ07d+b48eN8+umn7N27l6FDhwJQtWpVtm3bxk8//cSxY8do1aoVixYtonjx4rmul5qaSlJSkskhIiIiIiIi8qxRQVhE5BkSGBhIjx498PDw4O233yY5OZmDBw8CMH/+fFxdXZk3bx6VK1emY8eOTJkyhVmzZpGZmZktVnx8POHh4axdu5amTZtSsWJFRo8eTZMmTQgPDwfgvffeo2XLlkyYMAEvLy8CAwMZOnQoM2fOBKBs2bL4+/sb5wOEh4fTvHlzKlSokG3NGzduMHv2bGbMmEHfvn2pWLEiTZo0ITg42GTe6NGjad++PV5eXkyZMoXz589z9uzZfOWUX3mtERoaSq9evRgxYgSenp74+voyZ84cli9fzu3bt4mNjaVt27Z4eHhQq1YtvvnmGwYPHsy1a9dyXS80NBR7e3vj4erq+kD5ioiIiIiIiDwNKgiLiDxDatasafzZ2toaOzs7Ll26BMDp06dp1KgRBoPBOKdx48YkJyfz66+/Zot14sQJMjIy8PLywsbGxnjs3r2bc+fOGWM2btzY5LrGjRvz008/kZGRAcCAAQNYvXo1t2/fJi0tjVWrVtGvX78c8z99+jSpqam0bNky3/dZqlQpAJP7vF9O+ZHXGseOHSMiIsLkufj7+5OZmckvv/zCmTNnmD59OlOnTqVYsWKsWbOGpk2bcvny5VzXCwkJITEx0XhcuHAh37mKiIiIiIiIPC16qZyIyDOkcOHCJp8NBkOOu3/zIzk5GTMzM44cOYKZmZnJORsbm3zHCQgIwNLSki+++AILCwvS09N5+eWXc5xrZWWVr5h/v8+7Be6Hvc+HWSM5OZlXX32V4cOHZ7uuXLlyVKlSJdt4jx498lzP0tISS0vLR0lZRERERERE5IlTQVhE5B+iSpUqrFu3jqysLGOBMyoqCltbW8qWLZttvre3NxkZGVy6dImmTZvmGjMqKspkLCoqCi8vL2MR2dzcnL59+xIeHo6FhQXdu3fPtfDr6emJlZUVO3bsyNYm4kHu8345Pao6deoQExODh4fHfefe+xI+eTriwtoXdAoiIiIiIiL/SioIi4j8QwwePJgPPviAYcOGMXToUGJjY5k0aRKvvfYahQpl7wDk5eVFr1696NOnD7NmzcLb25vLly+zY8cOatasSfv27Rk1ahT16tVj2rRpdOvWjf379zNv3jzmz59vEis4ONi4a/beYu3fFSlShLFjxzJmzBgsLCxo3Lgxly9f5tSpU/Tv3z9f95nfnB7F2LFjadiwIUOHDiU4OBhra2tiYmLYvn078+bNe2zriIiIiIiIiDxrVBAWEfmHKFOmDJs3b+b111+nVq1aFC9enP79+zN+/PhcrwkPD+ett95i1KhR/Pbbbzg6OtKwYUM6dOgA3Nkpu2bNGiZOnMi0adMoVaoUU6dOJTAw0CTO3RevXb16lQYNGuSZ54QJEzA3N2fixIn8/vvvlCpVioEDB+b7PvOb06OoWbMmu3fv5s0336Rp06ZkZWVRsWJFunXr9tjWEBEREREREXkWGbKysrIKOgkREXm2ZWVl4enpyeDBg3nttdcKOp1/hKSkJOzt7UlMTMTOzq6g0xEREREREZF/ufz+HqodwiIikqfLly8TGRnJxYsXCQoKKuh0REREREREROQRZG86KSLymPn5+TFixAjjZzc3Nz744IMnusbTEBgYSMeOHZ/qmjnZtWsXBoOB69ev5znvYZ97yZIlmTp1Kh999BEODg75uqZ37968/fbbD7xWQUlLS8PNzY3Dhw8XdCoiIiIiIiIiT5QKwiLy1B06dIj//e9/BZ3Gv4avry8JCQnY29sDEBERQbFixbLNe9jnnpWVxeXLl+nZs2e+5h87dozNmzczfPhwk/GzZ88SFBRE2bJlsbS0xN3dnR49epgUYadPn46vry9FixbN8R7u3kfLli0pVqwYDg4O+Pv7c+zYsTxzCg0NpV69etja2lKyZEk6duxIbGys8byFhQWjR49m7NixOV7v5+eXr3sXERERERERedapZYSIPHVOTk4FncI/QlpaGhYWFvedZ2FhgYuLy33nPa3nPnfuXLp06YKNjY1x7PDhw7Rs2ZLq1auzaNEiKleuzI0bN/jyyy8ZNWoUu3fvBu7cc5cuXWjUqBFLlizJFjs5OZk2bdrwwgsvMH/+fP766y8mTZqEv78/Fy5coHDhwjnmtHv3boYMGUK9evX466+/eOONN2jdujUxMTFYW1sD0KtXL0aNGsWpU6eoVq0aZ86c4ejRo3Tv3t0Y5+jRo/z+++/Gl/KJiPzTuI3b9FjjxYW1f6zxREREROTJ0w5hEXnq7m1dYDAY+Pjjj+nUqRNFixbF09OTDRs2mFyze/du6tevj6WlJaVKlWLcuHH89ddfua6RmprK6NGjKVOmDNbW1jRo0IBdu3aZzFm3bh3VqlXD0tISNzc3Zs2aZTw3depUqlevni1u7dq1mTBhQo5rZmZmMmPGDDw8PLC0tKRcuXJMnz7deH7s2LF4eXlRtGhRKlSowIQJE0hPTzeenzx5MrVr1+bjjz/G3d2dIkWK5Ov5/L1lxK5duwgKCiIxMRGDwYDBYGDy5MkP/dxPnjxJ27ZtsbGxwdnZmd69e/Pnn3/m+twzMjL47LPPCAgIMI5lZWURGBiIp6cne/bsoX379lSsWJHatWszadIkvvzyS+PcKVOmMHLkSGrUqJFj/B9//JGrV68ydepUKlWqRLVq1Zg0aRJ//PEH58+fzzWvrVu3EhgYSLVq1ahVqxYRERHEx8dz5MgR4xwHBwcaN25MZGQkAI6Ojnz77bd07dqV69evM3HiREJCQqhQoUKu64iIiIiIiIg861QQFpFnwpQpU+jatSvHjx+nXbt29OrVi6tXrwLw22+/0a5dO+rVq8exY8dYsGABS5Ys4a233so13tChQ9m/fz+RkZEcP36cLl260KZNG3766ScAjhw5QteuXenevTsnTpxg8uTJTJgwgYiICAD69evH6dOnOXTokDHmDz/8wPHjx3N9sVpISAhhYWFMmDCBmJgYVq1ahbOzs/G8ra0tERERxMTEMHv2bBYvXsz7779vEuPs2bOsW7eOzz//nOjo6Hw9n7/z9fXlgw8+wM7OjoSEBBISEhg9evRDPffr16/z3HPP4e3tzeHDh9m6dSt//PEHXbt2zTXe8ePHSUxMxMfHxzgWHR3NqVOnGDVqFIUKZf/PTm6tIXJSqVIlSpQowZIlS0hLS+PWrVssWbKEKlWq4ObmZpxnMBiM32VOEhMTAShevLjJeP369dmzZ4/x3KJFi2jVqhXHjh3j3LlzbNu2japVq+Y7XxEREREREZFnjQrCIvJMCAwMpEePHnh4ePD222+TnJzMwYMHAZg/fz6urq7MmzePypUr07FjR6ZMmcKsWbPIzMzMFis+Pp7w8HDWrl1L06ZNqVixIqNHj6ZJkyaEh4cD8N5779GyZUsmTJiAl5cXgYGBDB06lJkzZwJQtmxZ/P39jfMBwsPDad68eY47RG/cuMHs2bOZMWMGffv2pWLFijRp0oTg4GDjnPHjx+Pr64ubmxsBAQGMHj2aNWvWmMRJS0tj+fLleHt7U7NmzXw9n7+zsLDA3t4eg8GAi4sLLi4uJq0bHuS5z5s3D29vb95++20qV66Mt7c3S5cu5dtvv+XMmTM5xjt//jxmZmaULFnSOHa3CF+5cuVc88gvW1tbdu3axSeffIKVlRU2NjZs3bqVLVu2YG7+/7ogVapUydhT+V6ZmZmMGDGCxo0bZ9sFXrp0aeNO42vXrjF48GC++eYbatWqRcWKFWnbtq1J7+G/S01NJSkpyeQQERERERERedaoICwiz4S/Fz+tra2xs7Pj0qVLAJw+fZpGjRphMBiMcxo3bkxycjK//vprtlgnTpwgIyMDLy8vbGxsjMfu3bs5d+6cMWbjxo1NrmvcuDE//fQTGRkZAAwYMIDVq1dz+/Zt0tLSWLVqFf369csx/9OnT5OamkrLli1zvcdPP/2Uxo0bG4u048ePJz4+3mRO+fLlc+z1m9fzeRR5xT127BjffvutyTO8W9S9+xzvdevWLSwtLU2+q6ysrEfO8+/x+/fvT+PGjfn++++JioqievXqtG/fnlu3bhnn/fjjj3Tq1CnHGEOGDOHkyZPG1hB/Z2VlRUpKCgCXLl2iadOmrFmzhmLFijF16lSmT5+eazE8NDQUe3t74+Hq6voY7lhERERERETk8dJL5UTkmXDvy8AMBkOOu3/zIzk5GTMzM44cOYKZmZnJubx2y94rICAAS0tLvvjiCywsLEhPT+fll1/Oca6VlVWesfbv30+vXr2YMmUK/v7+2NvbExkZadK3GDC+4Oxej/P55DducnIyAQEBvPPOO9muK1WqVI7xHB0dSUlJMXkhnpeXF3CnSOvt7f1I+a5atYq4uDj2799vbD+xatUqHBwc+PLLL01eAJeToUOHsnHjRr777jvKli2b7fzVq1eNBflKlSpRqVIlk/N16tShTp06OcYOCQnhtddeM35OSkpSUVhERERERESeOSoIi8gzr0qVKqxbt46srCzjztOoqChsbW1zLOp5e3uTkZFh3OGZW8yoqCiTsaioKLy8vIxFZHNzc/r27Ut4eDgWFhZ0794918Kvp6cnVlZW7Nixw6RNxF379u2jfPnyvPnmm8axvF6C9igsLCyMu5wfRZ06dVi3bh1ubm4m7RjyUrt2bQBiYmKMP9euXZuqVasya9YsunXrlq2P8PXr1/PdRzglJYVChQqZ7EC++zmvAnlWVhbDhg3jiy++YNeuXbi7u+c47+TJkzkWre99IWFOLC0tsbS0vP9NiIiIiIiIiBQgFYRF5Jk3ePBgPvjgA4YNG8bQoUOJjY1l0qRJvPbaazm+pMzLy4tevXrRp08fZs2ahbe3N5cvX2bHjh3UrFmT9u3bM2rUKOrVq8e0adPo1q0b+/fvZ968ecyfP98kVnBwMFWqVAHIVkD+uyJFijB27FjGjBmDhYUFjRs35vLly5w6dYr+/fvj6elJfHw8kZGR1KtXj02bNvHFF1883gf1/3NzcyM5OZkdO3ZQq1YtihYtStGiRR84zpAhQ1i8eDE9evRgzJgxFC9enLNnzxIZGcnHH3+cbfc1gJOTE3Xq1GHv3r3GgrDBYCA8PJxWrVrRtGlT3nzzTSpXrkxycjJfffUVX3/9Nbt37wbu9H++evUq8fHxZGRkGF+s5+HhgY2NDc8//zyvv/46Q4YMYdiwYWRmZhIWFoa5uTktWrQw5lG5cmVCQ0ONbSOGDBnCqlWr+PLLL7G1teXixYsA2NvbmxT59+zZw7Rp0x74WYmI/FPEhbUv6BREREREpICph7CIPPPKlCnD5s2bOXjwILVq1WLgwIH079+f8ePH53pNeHg4ffr0YdSoUVSqVImOHTty6NAhypUrB9zZ/bpmzRoiIyOpXr06EydOZOrUqQQGBprE8fT0xNfXl8qVK9OgQYM885wwYQKjRo1i4sSJVKlShW7duhn78b7wwguMHDmSoUOHUrt2bfbt28eECRMe7cHkwtfXl4EDB9KtWzecnJyYMWPGQ8UpXbo0UVFRZGRk0Lp1a2rUqMGIESMoVqxYjoX4u4KDg1m5cqXJWP369Tl8+DAeHh4MGDCAKlWq8MILL3Dq1Ck++OAD47yJEyfi7e3NpEmTSE5OxtvbG29vbw4fPgzcKfR+9dVXHD9+nEaNGtG0aVN+//13tm7datLGIjY2lsTEROPnBQsWkJiYiJ+fH6VKlTIen376qXHO/v37SUxMzLUtiIiIiIiIiMi/gSHrcb7tR0TkXyYrKwtPT08GDx5s0h9Wcnfr1i0qVarEp59+SqNGjQo6nXzr1q0btWrV4o033ngs8ZKSkrC3tycxMRE7O7vHElNEREREREQkN/n9PVQtI0REcnH58mUiIyO5ePEiQUFBBZ3OP4aVlRXLly/nzz//LOhU8i0tLY0aNWowcuTIgk5FRERERERE5InSDmERkVwYDAYcHR2ZPXs2PXv2LOh05B9GO4RFRERERETkacrv76HqISz54ufnx4gRI4yf3dzcTPp+Pok1nobAwEA6duz4VNfMr127dmEwGLh+/XqucyZPnmx8cVduntV7fBzfd1xcHAaDwfjiscctKyuLy5cvP5ZicH7+mUlLS8PDw4N9+/Y98nr/NgsXLiQgIOC+8/z8/DAYDA/85+LuP28Gg+GZ/OdFRERERERE5HFRQVgeyqFDh/jf//5X0Gn8540ePZodO3YUdBrymCxcuBB3d3d8fX2NY9OnT8fX15eiRYtSrFixHK87dOgQLVu2pFixYjg4OODv78+xY8fyXCs0NJR69epha2tLyZIl6dixI7GxsTnOdXd355tvvmHXrl28+OKLlCpVCmtra2rXrp3t5XEAa9eupXLlyhQpUoQaNWqwefPmfD+DK1euULZs2Wz/M6Rfv34cPXqUPXv23DfGgAEDSEhIoHr16sax4cOHU7duXSwtLXP8nyi+vr4kJCTQtWvXHGP6+fnl+x5EREREREREnmXqISwPxcnJqaBTeGZlZWWRkZGBufmT/8fLxsYGGxubJ76O5C4tLQ0LC4tHjpOVlcW8efOYOnVqtvhdunShUaNGLFmyJNt1ycnJtGnThhdeeIH58+fz119/MWnSJPz9/blw4QKFCxfOcb3du3czZMgQ6tWrx19//cUbb7xB69atiYmJwdra2jjv+PHjXLt2jebNmzNz5kxq1qzJ2LFjcXZ2ZuPGjfTp0wd7e3s6dOgAwL59++jRowehoaF06NCBVatW0bFjR44ePWpSoM1N//79qVmzJr/99pvJuIWFBT179mTOnDk0bdo0zxhFixbFxcUl23i//4+9e4/L+f4fP/64ROlMRElJOiiSIkMOOZZDw0yGSSgzcjZjzmc2OU8YKwzNnIcxmoyYQ8gpoS2RHOYQiUpdvz98e/9cOihDts/zfrtdt5vr9X4dnu93V599evbq+erTh6NHj3LmzJlc17S1tTEzM0NXV5f09HQAduzYQaVKlXBzc1P6hYeH4+bmhr29/SvvRYj/FdajdxZ3CKIIEma1K+4QhBBCCCFEMZMdwuK1vPzn7yqVihUrVtCpUyf09PSws7Nj+/btGmMOHDhAvXr10NHRwdzcnNGjR/Ps2bN810hPT2fkyJFYWFigr6/PBx98QGRkpEafTZs2UaNGDXR0dLC2tiY4OFi5NmXKlDwTULVr12b8+PGFvtc1a9ZQt25dDA0NMTMzo3v37ty+fVu5nvOn5r/88ouyA/HQoUPEx8fToUMHKlasiIGBAe7u7uzbty/XPX755ZdYWlqio6ODra1trqRfdHQ0devWRU9Pj4YNG2rs4ny5ZERWVhbDhw+nTJkylCtXjlGjRvFymfD09HQGDx5MhQoVKF26NI0aNeL48eO57iciIiLfdQFCQkKoVq0a2traODg4sGbNGuVanz59lARhjszMTCpUqJBnUjM/Fy9epFGjRpQuXRonJyf27duHSqVi69atufqq1WpsbW2ZM2eORvvp06dRqVRcuXIFgAcPHvDZZ59RsWJFSpcuTc2aNdmxY4fS/9ChQzRu3BhdXV0sLS0ZPHgwjx8/Vq5bW1szdepU/Pz8MDIyUnbKF/RZLIzo6Gji4+Np107zB/XJkyczbNgwnJ2d831G9+7dY8qUKTg4OFCjRg0mTpzIrVu3uHr1ar7r7d69G39/f2rUqIGLiwthYWEkJiYSHR2t0W/btm14e3tTqlQpvvrqK6ZOnUrDhg2pVq0aQ4YMwdvbm82bNyv9FyxYgLe3N1988QWOjo5MnToVNzc3Fi9e/MpnEBISwoMHDxg5cmSe1318fNi+fTtPnjx55VwvW7hwIQMHDsTGxqbQY2xsbBgzZgwTJ07kwYMH+Pr6sn//fsqXL1/k9YUQQgghhBBCiPeFJITFGzN58mR8fX05c+YMbdu2pUePHty7dw+ApKQk2rZti7u7OzExMYSEhLBy5UqmTZuW73xBQUEcOXKE8PBwzpw5Q5cuXfD29uby5cvA8wSar68vn3zyCWfPnmXSpEmMHz+esLAw4HlSMjY2ViPZeerUKc6cOUPv3r0LfV+ZmZlMnTqVmJgYtm7dSkJCAv7+/rn6jR49mlmzZhEbG0utWrVITU2lbdu2REREcOrUKby9vfHx8SExMVEZ4+fnx/r161m4cCGxsbEsW7Ys147fsWPHEhwczIkTJyhZsiR9+vTJN9bg4GDCwsL4/vvvOXToEPfu3WPLli0afUaNGsWmTZtYtWoVJ0+exNbWFi8vL+VrVZh1t2zZwpAhQxgxYgTnzp3js88+o3fv3uzfvx+AgIAAdu/eTXJysjJmx44dpKWl0bVr11c/dJ4ntzt27Iienh5Hjx5l+fLljB07Nt/+KpWKPn36EBoaqtEeGhpKkyZNsLW1JTs7mzZt2hAVFcUPP/zAhQsXmDVrFlpaWgDEx8fj7e1N586dOXPmDD/++COHDh0iKChIY845c+bg4uLCqVOnGD9+/Cs/i4Vx8OBB7O3tMTQ0LPQYAAcHB8qVK8fKlSvJyMjgyZMnrFy5EkdHR6ytrTWeT0HxpKSkAGBiYqLRvn37djp06FDguBfHHDlyhJYtW2r08fLy4siRI8r7SZMmacQGcOHCBaZMmcLq1aspUSLv/zTVrVuXZ8+ecfTo0XzjeZOcnJzYs2cPly9fJiYmhpYtW7Js2bJcz0gIIYQQQgghhPg3kZIR4o3x9/enW7duAMyYMYOFCxdy7NgxvL29WbJkCZaWlixevBiVSkX16tW5ceMGX375JRMmTMiVAEpMTCQ0NJTExEQqVaoEPK+Xu3v3bkJDQ5kxYwZz586lRYsWym5fe3t7Lly4wDfffIO/vz+VK1fGy8uL0NBQ3N3dgefJwaZNmxZpl+CLiVAbGxsWLlyIu7s7qampGsnbKVOm0KpVK+W9iYkJLi4uyvupU6eyZcsWtm/fTlBQEJcuXWLDhg3s3btXSaDlFdf06dNp2rQp8Dzp3K5dO54+fUrp0qVz9Z0/fz5jxozho48+Ap7XpN2zZ49y/fHjx4SEhBAWFkabNm0A+O6779i7dy8rV67kiy++KNS6c+bMwd/fnwEDBgAwfPhw/vjjD+bMmUOzZs1o2LChsmt41KhRwPNn36VLl0KXuNi7dy/x8fFERkYqf/4/ffp0jWf8Mn9/fyZMmMCxY8eoV68emZmZrFu3Ttk1vG/fPo4dO0ZsbKzyJ/8vPvOZM2fSo0cP5bA7Ozs7Fi5cSNOmTQkJCVGeefPmzRkxYoQyrkePHgV+Fgvj6tWryme9KAwNDYmMjKRjx45MnTpViXvPnj0aZUscHBwwNjbOc47s7GyGDh2Kh4eHxq76pKQkzpw5o3xWXrZhwwaOHz/OsmXLlLabN29SsWJFjX4VK1bk5s2byvvy5ctTrVo15X16ejrdunXjm2++wcrKij///DPP9fT09DA2Ni5w5/ObFBcXx9ChQ3F3d8fFxYV9+/Zx+vRppk+fTtmyZXP1T09PV8pNwPPTXYUQQgghhBBCiPeN7BAWb0ytWrWUf+vr62NkZKSUVoiNjaVBgwaoVCqlj4eHB6mpqVy/fj3XXGfPniUrKwt7e3ulTq6BgQEHDhwgPj5emdPDw0NjnIeHB5cvXyYrKwt4frjU+vXrefr0KRkZGaxbty7fHbZr167VWCvn8Kro6Gh8fHywsrLC0NBQSZK+uNMXnu9efFFqaiojR47E0dGRMmXKYGBgQGxsrDLu9OnTaGlpKfMV5rmam5sDaJSsyJGSkkJycjIffPCB0layZEmNuOLj48nMzNR4bqVKlaJevXrExsYWet38nv2LcwQEBCi7dW/dusUvv/yS77OfMWOGxrNPTEwkLi4OS0tLjVqw9erVy3N8jkqVKtGuXTu+//57AH7++WfS09Pp0qUL8PyZV65cOd/6rzExMYSFhWnE4uXlRXZ2Nn/99ZfS7+WvdWE+i6/y5MmTPJP8hRnXt29fPDw8+OOPP4iKiqJmzZq0a9dOo7TCxYsX6dSpU55zDBw4kHPnzhEeHq7Rvn37dho1apTnYXb79++nd+/efPfdd9SoUaNIMQcFBWkchjhmzBgcHR359NNPXzlWV1eXtLS0Iq33ui5dusT06dOZMmUKZcqUYcOGDTRu3Jg7d+7k2X/mzJkYGxsrL0tLy3cSpxBCCCGEEEIIURSyQ1i8MS8fXqVSqcjOzn6tuVJTU9HS0iI6Olr5c/4cRTlEzcfHBx0dHbZs2YK2tjaZmZl8/PHHefb98MMPNZKpFhYWPH78GC8vL7y8vFi7di2mpqYkJibi5eVFRkaGxvgXD+KC5zua9+7dy5w5c7C1tUVXV5ePP/5YGaerq1uoe3jxueYk1F/3uRbFP13Xz8+P0aNHc+TIEQ4fPkzVqlXzPQysf//++Pr6Ku9fZ6dsjoCAAHr27Mm8efMIDQ2la9eu6OnpAa9+5qmpqXz22WcMHjw41zUrKyvl3y9/rd+E8uXLc/bs2SKPW7duHQkJCRw5ckTZab9u3TrKli3Ltm3b+OSTTwocHxQUxI4dO/j999+pXLmyxrXt27fz4Ycf5hpz4MABfHx8mDdvHn5+fhrXzMzMuHXrlkbbrVu38jzkLcdvv/3G2bNn2bhxI4BS97p8+fKMHTuWyZMnK33v3bv3zg619PHxydWW81cQeRkzZgzDhw9X3j98+FCSwkIIIYQQQggh3juSEBbvhKOjI5s2bUKtVivJxaioKAwNDXMloQBcXV3Jysri9u3b+SYRHR0diYqK0miLiorC3t5eSSKXLFmSXr16ERoaira2Np988km+SUFDQ8Nc9Vujo6O5e/cus2bNUhI7J06cKNQ9R0VF4e/vr+zKTE1NJSEhQbnu7OxMdnY2Bw4cyFVz9XUYGxtjbm7O0aNHadKkCQDPnj0jOjoaNzc3AOUQuKioKKpUqQI8r5F8/PhxpUxCYeQ8+169eiltUVFRODk5Ke/LlStHx44dCQ0N5ciRIwXWbTYxMclVl9XBwYFr165x69YtpQTBi/Wg89O2bVv09fUJCQlh9+7d/P7778q1WrVqcf36dS5dupTnLmE3NzcuXLiAra3tK9d5UWE+i6/i6upKSEiIxvdIYaSlpVGiRAmNMTnvC0rgq9VqBg0axJYtW4iMjKRq1aoa11NTU9m/fz8hISEa7ZGRkbRv357Zs2crB+q9qEGDBkRERGh8nvbu3UuDBg3yjWXTpk0au5mPHz9Onz59OHjwoEZpifj4eJ4+fYqrq2u+c70tLx9omRcdHR10dHTefjBCCCGEEEIIIcQ/IAlh8U4MGDCA+fPnM2jQIIKCgoiLi2PixIkMHz48zwOk7O3t6dGjB35+fgQHB+Pq6sqdO3eIiIigVq1atGvXjhEjRuDu7s7UqVPp2rUrR44cYfHixSxZskRjroCAABwdHQFyJe1excrKCm1tbRYtWkT//v05d+6cUqf1Vezs7Ni8eTM+Pj6oVCrGjx+vkaCztramV69e9OnTh4ULF+Li4sLVq1e5ffu2xm7ZohgyZAizZs3Czs6O6tWrM3fuXB48eKBc19fX5/PPP+eLL77AxMQEKysrvv76a9LS0ujbt2+h1/niiy/w9fXF1dWVli1b8vPPP7N582b27dun0S8gIID27duTlZWlkTwujFatWlGtWjV69erF119/zaNHjxg3bhxAgQlTLS0t/P39GTNmDHZ2dhqJyKZNm9KkSRM6d+7M3LlzsbW15eLFi6hUKry9vfnyyy+pX78+QUFBBAQEoK+vz4ULF9i7dy+LFy/Od83CfhYL0qxZM1JTUzl//rxGHd/ExETu3btHYmIiWVlZnD59GgBbW1sMDAxo1aoVX3zxBQMHDmTQoEFkZ2cza9YsSpYsSbNmzZR5qlevzsyZM5VfUAwcOJB169axbds2DA0NlRq/xsbG6Orqsnv3buzt7TUOf9u/fz/t27dnyJAhdO7cWRmjra2tJPSHDBlC06ZNCQ4Opl27doSHh3PixAmWL1+uzLN48WK2bNmilI14MekL8PfffwMo5VZyHDx4EBsbm1z9C+PKlSukpqZy8+ZNnjx5ojxHJycntLW1izyfEOL/S5jVrrhDEEIIIYQQQhSB1BAW74SFhQW7du3i2LFjuLi40L9/f/r27ask+PISGhqKn58fI0aMwMHBgY4dO3L8+HHlT/fd3NzYsGED4eHh1KxZkwkTJjBlypRch3jZ2dnRsGFDqlevrlESojBMTU0JCwvjp59+wsnJiVmzZikHlL3K3LlzKVu2LA0bNsTHxwcvLy9lp26OkJAQPv74YwYMGED16tUJDAzk8ePHRYrxRSNGjKBnz5706tWLBg0aYGhomKtu7KxZs+jcuTM9e/bEzc2NK1eusGfPnjwPycpPx44dWbBgAXPmzKFGjRosW7aM0NBQPD09Nfq1bNkSc3NzvLy8ilwGQktLi61bt5Kamoq7uzsBAQGMHTsW4JW1dvv27UtGRkaeu5I3bdqEu7s73bp1w8nJiVGjRil1fmvVqsWBAwe4dOkSjRs3xtXVlQkTJrwy9sJ+FgtSrlw5OnXqxNq1azXaJ0yYgKurKxMnTiQ1NRVXV1dcXV2VnerVq1fn559/5syZMzRo0IDGjRtz48YNdu/erdR+hucHpKWkpCjvQ0JCSElJwdPTE3Nzc+X1448/ArBt27Zc5SJWrVpFWloaM2fO1BiTc4ghQMOGDVm3bh3Lly/HxcWFjRs3snXrVo0k999//63UAi+K9evXExgYWORx8PyXE66urixbtoxLly4pz/HGjRuvNZ8QQgghhBBCCPFvpVLnFGsU4j9KrVZjZ2fHgAEDNOp7ircvNTUVCwsLQkNDNZKGrysqKopGjRpx5cqVAneJHjx4kBYtWnDt2jWl3MS/wZkzZ2jVqhXx8fFFqpX9pj179oyKFSvyyy+/vPIgv3fl/PnzNG/enEuXLmFsbJxvP09PT2rXrs38+fNfax1/f38ePHjA1q1bXy/QFzx8+BBjY2NSUlIwMjL6x/MJIYQQQgghhBAFKezPobJDWPyn3blzh8WLF3Pz5s0Ca9iKNys7O5vbt28zdepUypQpk+fBZIWxZcsW9u7dS0JCAvv27aNfv354eHjkmwxOT0/n+vXrTJo0iS5duvyrksHwfIfy7Nmz+euvv4o1jnv37jFs2DDc3d2LNY4XJScns3r16gKTwTmWLFmCgYFBkQ7pO3jwIAYGBrl2aAshhBBCCCGEEP81skNY/KepVCrKly/PggUL6N69e3GH8z8jISGBqlWrUrlyZcLCwmjRosVrzbN69WqmTZtGYmIi5cuXp2XLlgQHB1OuXLk8+4eFhdG3b19q167N9u3bsbCw+Ce3If6FkpKSlAPqcmqAF8aTJ09ISkoCwMDAADMzs38ci+wQFkIIIYQQQgjxLhX251BJCAsh/vVeLhNgbW3N0KFDGTp06Ftb4114k+ULXhQWFsbQoUM1DhwsLu/quRZmnTf9uZGEsBBCCCGEEEKId6mwP4eWfIcxCSHEO3H8+HH09fWLO4z3wttIjv8bbd68mVKlShV3GEIIIYQQQgghRLGThLAQ4j/H1NS0uEMQ7xkTE5PiDkEIId4a69E7C903YVa7txiJEEIIIYT4N5BD5YQQ/znW1tYapQFUKhUrVqygU6dO6OnpYWdnx/bt2zXGHDhwgHr16qGjo4O5uTmjR4/m2bNn+a6Rnp7OyJEjsbCwQF9fnw8++IDIyEiNPps2baJGjRro6OhgbW1NcHCwcm3KlCnUrFkz17y1a9dm/Pjxhb7XQ4cO0bhxY3R1dbG0tGTw4ME8fvwYeF4m4erVqwwbNgyVSoVKpdIYu2fPHhwdHTEwMMDb25vk5GTl2vHjx2nVqhXly5fH2NiYpk2bcvLkSY3xb+O5rlmzhrp162JoaIiZmRndu3fn9u3byvXIyEhUKhV79uzB1dUVXV1dmjdvzu3bt/nll19wdHTEyMiI7t27k5aWpozz9PTU2CV9+/ZtfHx80NXVpWrVqnkeJvfgwQMCAgIwNTXFyMiI5s2bExMTU8BXQwghhBBCCCGEeP9JQlgI8T9h8uTJ+Pr6cubMGdq2bUuPHj24d+8e8PwgsrZt2+Lu7k5MTAwhISGsXLmSadOm5TtfUFAQR44cITw8nDNnztClSxe8vb25fPkyANHR0fj6+vLJJ59w9uxZJk2axPjx4wkLCwOgT58+xMbGcvz4cWXOU6dOcebMGXr37l2oe4qPj8fb25vOnTtz5swZfvzxRw4dOkRQUBDwvExC5cqVmTJlCsnJyRoJ37S0NObMmcOaNWv4/fffSUxMZOTIkcr1R48e0atXLw4dOsQff/yBnZ0dbdu25dGjR2/1uWZmZjJ16lRiYmLYunUrCQkJ+Pv75+o3adIkFi9ezOHDh7l27Rq+vr7Mnz+fdevWsXPnTn799VcWLVqU7zr+/v5cu3aN/fv3s3HjRpYsWaKReAbo0qWLkmiOjo7Gzc2NFi1aKPcnhBBCCCGEEEL8G0nJCCHE/wR/f3+6desGwIwZM1i4cCHHjh3D29ubJUuWYGlpyeLFi1GpVFSvXp0bN27w5ZdfMmHCBEqU0PzdWWJiIqGhoSQmJlKpUiUARo4cye7duwkNDWXGjBnMnTuXFi1aKLt97e3tuXDhAt988w3+/v5UrlwZLy8vQkNDcXd3ByA0NJSmTZtiY2NTqHuaOXMmPXr0UHa+2tnZsXDhQpo2bUpISAgmJiZoaWkpu21flJmZydKlS6lWrRrwPME9ZcoU5Xrz5s01+i9fvpwyZcpw4MAB2rdv/1aeKzxPlOewsbFh4cKFuLu7k5qaioGBgXJt2rRpeHh4ANC3b1/GjBlDfHy88uw+/vhj9u/fz5dffplrjUuXLvHLL79w7Ngx5dmvXLkSR0dHpc+hQ4c4duwYt2/fRkdHB4A5c+awdetWNm7cSL9+/XLNm56eTnp6uvL+4cOHufoIIYQQQgghhBDFTXYICyH+J9SqVUv5t76+PkZGRsqO0NjYWBo0aKBRUsHDw4PU1FSuX7+ea66zZ8+SlZWFvb09BgYGyuvAgQPEx8crc+YkLF+c8/Lly2RlZQEQGBjI+vXrefr0KRkZGaxbt04jIfoqMTExhIWFacTg5eVFdnY2f/31V4Fj9fT0lGQwgLm5ucYO2Vu3bhEYGIidnR3GxsYYGRmRmppKYmKixjxv8rnC853VPj4+WFlZYWhoSNOmTQEKXLdixYro6elpJNIrVqyYa8dvjtjYWEqWLEmdOnWUturVq1OmTBnlfUxMDKmpqZQrV07j+f7111/K1/hlM2fOxNjYWHlZWlrm2U8IIYQQQgghhChOskNYCPE/oVSpUhrvVSoV2dnZrzVXamoqWlpaREdHo6WlpXHtxV2sr+Lj44OOjg5btmxBW1ubzMxMPv744yLF8dlnnzF48OBc16ysrAocm9fzUKvVyvtevXpx9+5dFixYQJUqVdDR0aFBgwZkZGS8cp7Xfa6PHz/Gy8sLLy8v1q5di6mpKYmJiXh5eRW4rkqleqNxwPNna25unqsuNKCROH7RmDFjGD58uPL+4cOHkhQWQgghhBBCCPHekYSwEOJ/nqOjI5s2bUKtViu7WaOiojA0NKRy5cq5+ru6upKVlcXt27dp3LhxvnNGRUVptEVFRWFvb68kkUuWLEmvXr0IDQ1FW1ubTz75BF1d3ULH7ebmxoULF7C1tc23j7a2trIjuSiioqJYsmQJbdu2BeDatWv8/fffRZqjqM/14sWL3L17l1mzZimJ1BMnThQ59lepXr06z549Izo6WikZERcXx4MHD5Q+bm5u3Lx5k5IlS2JtbV2oeXV0dJTyEkIIIYQQQgghxPtKEsJCiP95AwYMYP78+QwaNIigoCDi4uKYOHEiw4cPz7POrb29PT169MDPz4/g4GBcXV25c+cOERER1KpVi3bt2jFixAjc3d2ZOnUqXbt25ciRIyxevJglS5ZozBUQEKDUrn05gfwqX375JfXr1ycoKIiAgAD09fW5cOECe/fuZfHixQBYW1vz+++/88knn6Cjo0P58uULNbednR1r1qyhbt26PHz4kC+++KJIyWoo+nO1srJCW1ubRYsW0b9/f86dO8fUqVOLtGZhODg44O3tzWeffUZISAglS5Zk6NChGvfXsmVLGjRoQMeOHfn666+xt7fnxo0b7Ny5k06dOlG3bt03HpcQQryuhFntijsEIYQQQgjxLyI1hIUQ//MsLCzYtWsXx44dw8XFhf79+9O3b1/GjRuX75jQ0FD8/PwYMWIEDg4OdOzYkePHjyulGtzc3NiwYQPh4eHUrFmTCRMmMGXKFPz9/TXmsbOzo2HDhlSvXp0PPvigSHHXqlWLAwcOcOnSJRo3boyrqysTJkxQDroDmDJlCgkJCVSrVg1TU9NCz71y5Uru37+Pm5sbPXv2ZPDgwVSoUKFI8RX1uZqamhIWFsZPP/2Ek5MTs2bNYs6cOUVas7BCQ0OpVKkSTZs25aOPPqJfv34a96dSqdi1axdNmjShd+/e2Nvb88knn3D16lUqVqz4VmISQgghhBBCCCHeBZX6xaKRQggh3im1Wo2dnR0DBgzQqD8r/v0ePnyIsbExKSkpGBkZFXc4QgghhBBCCCH+4wr7c6iUjBBCiGJy584dwsPDuXnzJr179y7ucIQQQgghhBBCCPE/QBLCQghRTCpUqED58uVZvnw5ZcuWLe5whBBCCCGEEEII8T9AaggLIf4RT09Phg4dqry3trZm/vz5b3WN98U/vVe1Ws2dO3fo3r37P4pj0qRJ1K5du8A+CQkJqFQqTp8+/Y/WKoyMjAxsbW05fPjwW1/rTblw4QKVK1fm8ePHxR2KEEIIIYQQQgjxVklCWAjxRh0/fpx+/foVdxj/U0aOHElERITy3t/fn44dO2r0sbS0JDk5mZo1a771eJYuXUrVqlVp2LChRvv+/ftp27Yt5cqVQ09PDycnJ0aMGEFSUhIAT58+xd/fH2dnZ0qWLJnrHnKsXbsWFxcX9PT0MDc3p0+fPty9e7fAmD777DOqVauGrq4upqamdOjQgYsXLyrXnZycqF+/PnPnzs1zvKenZ+EfgBBCCCGEEEII8R6TkhFCiDfK1NS0uEP4z8jIyEBbW/uV/QwMDDAwMCiwj5aWFmZmZm8qtHyp1WoWL17MlClTNNqXLVvGgAED6NWrF5s2bcLa2prExERWr15NcHAwc+fOJSsrC11dXQYPHsymTZvynD8qKgo/Pz/mzZuHj48PSUlJ9O/fn8DAQDZv3pxvXHXq1KFHjx5YWVlx7949Jk2aROvWrfnrr7/Q0tICoHfv3gQGBjJmzBhKlizJjh07qFSpEm5ubso84eHhuLm5YW9v/waelhBCFI316J3/eI6EWe3eQCRCCCGEEOLfTHYICyHeqJfLKKhUKlasWEGnTp3Q09PDzs6O7du3a4w5cOAA9erVQ0dHB3Nzc0aPHs2zZ8/yXSM9PZ2RI0diYWGBvr4+H3zwAZGRkcr1sLAwypQpw549e3B0dMTAwABvb2+Sk5OVPtnZ2UyZMoXKlSujo6ND7dq12b17t3K9efPmBAUFaax7584dtLW1NXbjvujBgwd89tlnVKxYkdKlS1OzZk127NgBwN27d+nWrRsWFhbo6enh7OzM+vXrNcZ7enoSFBTE0KFDKV++PF5eXkRGRqJSqYiIiKBu3bro6enRsGFD4uLilHEvloyYNGkSq1atYtu2bahUKlQqFZGRkblKRhRmXoBt27bh5uZG6dKlsbGxYfLkyQV+baKjo4mPj6ddu/+fcLh+/TqDBw9m8ODBfP/993h6emJtbU2TJk1YsWIFEyZMAEBfX5+QkBACAwPzTV4fOXIEa2trBg8eTNWqVWnUqBGfffYZx44dyzcmgH79+tGkSROsra1xc3Nj2rRpXLt2jYSEBKVPq1atuHfvHgcOHADAxsaGMWPGMHHiRB48eICvry/79++nfPnyBa4lhBBCCCGEEEK8zyQhLIR46yZPnoyvry9nzpyhbdu29OjRg3v37gGQlJRE27ZtcXd3JyYmhpCQEFauXMm0adPynS8oKIgjR44QHh7OmTNn6NKlC97e3ly+fFnpk5aWxpw5c1izZg2///47iYmJjBw5Urm+YMECgoODmTNnDmfOnMHLy4sPP/xQmSMgIIB169aRnp6ujPnhhx+wsLCgefPmuWLKzs6mTZs2REVF8cMPP3DhwgVmzZql7D59+vQpderUYefOnZw7d45+/frRs2fPXInMVatWoa2tTVRUFEuXLlXax44dS3BwMCdOnKBkyZL06dMnz2czcuRIfH19lQR4cnJyrtINLypo3oMHD+Ln58eQIUO4cOECy5YtIywsjOnTp+c738GDB7G3t8fQ0FBp++mnn8jIyGDUqFF5jilTpky+872sQYMGXLt2jV27dqFWq7l16xYbN26kbdu2Sp+cZPeLyd4XPX78mNDQUKpWrYqlpaXSrq2tTe3atTl48CDwvIzEnj17uHz5MjExMbRs2ZJly5ZhYmKS57zp6ek8fPhQ4yWEEEIIIYQQQrxvJCEshHjr/P396datG7a2tsyYMYPU1FQlEbpkyRIsLS1ZvHgx1atXp2PHjkyePJng4GCys7NzzZWYmEhoaCg//fQTjRs3plq1aowcOZJGjRoRGhqq9MvMzGTp0qXUrVsXNzc3goKCNHb2zpkzhy+//JJPPvkEBwcHZs+eTe3atZXdzR999BHwfIdsjrCwMPz9/VGpVLni2rdvH8eOHWPz5s20atUKGxsb2rdvT5s2bQCwsLBg5MiR1K5dGxsbGwYNGoS3tzcbNmzQmMfOzo6vv/4aBwcHHBwclPbp06fTtGlTnJycGD16NIcPH+bp06e54jAwMEBXVxcdHR3MzMwwMzMrsOxEQfNOnjyZ0aNH06tXL2xsbGjVqhVTp05l2bJl+c539epVKlWqpNF2+fJljIyMMDc3z3dcYXl4eLB27Vq6du2KtrY2ZmZmGBsb8+233yp99PT0cHBwoFSpUhpjlyxZopTX+OWXX9i7d2+uZ1OpUiWuXr0KQFxcHG3atMHW1hYXFxf27dvHgAEDuH//fp6xzZw5E2NjY+X1YrJZCCGEEEIIIYR4X0hCWAjx1tWqVUv5t76+PkZGRty+fRuA2NhYGjRooJFk9fDwIDU1levXr+ea6+zZs2RlZWFvb68k9wwMDDhw4ADx8fFKPz09PapVq6a8Nzc3V9Z8+PAhN27cwMPDQ2NuDw8PYmNjAShdujQ9e/bk+++/B+DkyZOcO3cOf3//PO/x9OnTVK5cOd/asllZWUydOhVnZ2dMTEwwMDBgz549JCYmavSrU6dOnuNffIY5idWc+/knCpo3JiaGKVOmaDznwMBAkpOTSUtLy3O+J0+eULp0aY02tVqdZxL9dVy4cIEhQ4YwYcIEoqOj2b17NwkJCfTv31/pU69ePS5evIiFhYXG2B49enDq1CkOHDiAvb09vr6+uZLqurq6yr1dunSJ6dOnM2XKFMqUKcOGDRto3Lgxd+7cyTO2MWPGkJKSoryuXbv2Ru5ZCCGEEEIIIYR4k+RQOSHEW/fyTk2VSpXn7t/CSE1NRUtLi+joaKUcQ44XD1bLa021Wl2ktQICAqhduzbXr18nNDSU5s2bU6VKlTz76urqFjjXN998w4IFC5g/fz7Ozs7o6+szdOhQMjIyNPrp6+vnOf7F+8lJrr7uMyzsvKmpqUyePFnZLf2il5O+OcqXL8/Zs2c12uzt7UlJSSE5Ofkf7xKeOXMmHh4efPHFF8DzhLa+vj6NGzdm2rRpBc6fs3PXzs6O+vXrU7ZsWbZs2UK3bt2UPvfu3VN+keDj45Nrjhf7vkxHRwcdHZ3XvTUhhBBCCCGEEOKdkB3CQohi5ejoyJEjRzSStVFRURgaGlK5cuVc/V1dXcnKyuL27dvY2tpqvPI7iOxlRkZGVKpUiaioKI32qKgonJyclPfOzs7UrVuX7777jnXr1uVbtxeeJyavX7/OpUuX8rweFRVFhw4d+PTTT3FxccHGxibfvv+UtrY2WVlZ/3geNzc34uLicj1nW1tbSpTI+z8frq6uXLx4UePr+fHHH6Otrc3XX3+d55gHDx4UOqa0tLRca+f8YqAoCX+1Wo1ardaoEQ1w7tw5XF1dc/V/8dBCIYQQQgghhBDi30x2CAshitWAAQOYP38+gwYNIigoiLi4OCZOnMjw4cPzTDra29vTo0cP/Pz8CA4OxtXVlTt37hAREUGtWrVo165dodb94osvmDhxItWqVaN27dqEhoZy+vRp1q5dq9EvICCAoKAg9PX16dSpU77zNW3alCZNmtC5c2fmzp2Lra0tFy9eRKVS4e3tjZ2dHRs3buTw4cOULVuWuXPncuvWLY0E9JtibW3Nnj17iIuLo1y5chgbG7/WPBMmTKB9+/ZYWVnx8ccfU6JECWJiYjh37ly+h/41a9aM1NRUzp8/T82aNQGwtLRk3rx5BAUF8fDhQ/z8/LC2tub69eusXr0aAwMDgoODgeclITIyMrh37x6PHj3i9OnTANSuXRt4vms3MDCQkJAQvLy8SE5OZujQodSrV0+pXXzs2DH8/PyIiIjAwsKCP//8kx9//JHWrVtjamrK9evXmTVrFrq6uhqH0SUkJJCUlETLli1f63kJIcTbljCrcP+NE0IIIYQQoiCyQ1gIUawsLCzYtWsXx44dw8XFhf79+9O3b1/GjRuX75jQ0FD8/PwYMWIEDg4OdOzYkePHj2NlZVXodQcPHszw4cMZMWIEzs7O7N69m+3bt2NnZ6fRr1u3bpQsWZJu3brlWyYhx6ZNm3B3d6dbt244OTkxatQoZafuuHHjcHNzw8vLC09PT8zMzOjYsWOh4y2KwMBAHBwcqFu3Lqamprl2QheWl5cXO3bs4Ndff8Xd3Z369eszb968fMtmAJQrV45OnTrlSqwPGDCAX3/9laSkJDp16kT16tUJCAjAyMiIkSNHKv3atm2Lq6srP//8M5GRkbi6umrs2PX392fu3LksXryYmjVr0qVLFxwcHNi8ebPSJy0tjbi4ODIzM4Hn5S0OHjxI27ZtsbW1pWvXrhgaGnL48GEqVKigjFu/fj2tW7cu8P6EEEIIIYQQQoh/O5W6qEU1hRDif0hCQgLVqlXj+PHjuLm5FXc4/wpnzpyhVatWxMfHa9R1fp9lZGRgZ2fHunXrch02+LoePnyIsbExKSkpGBkZvZE5hRBCCCGEEEKI/BT251DZISyEEHnIzMzk5s2bjBs3jvr160syuAhq1arF7Nmz+euvv4o7lEJLTEzkq6++emPJYCGEEEIIIYQQ4n0lO4SFECIPkZGRNGvWDHt7ezZu3Iizs3NxhyT+ZWSHsBBCCCGEEEKId0l2CIt/LU9PT4YOHaq8t7a2Zv78+W91jX8bf39/VCoVKpWKrVu3FnrcpEmTlMO5Cuvf/qxel6enJ2q1mri4uPc6GTx+/Hj69etX3GH8Z1y4cIHKlSvz+PFjjXZPT0/ley7noDshhBBCCCGEEOLfSBLC4r13/Pjx/0zCq6gJ3IJ4e3uTnJxMmzZt3sh84t/n5s2bLFiwgLFjxyptv//+Oz4+PlSqVCnfz1tqaipBQUFUrlwZXV1dnJycWLp0aYFrxcXF0axZMypWrEjp0qWxsbFh3LhxysFthTVp0iSqV6+Ovr4+ZcuWpWXLlhw9erRIc/xTO3fu5IMPPkBXV5eyZctqHO7n5ORE/fr1mTt3rsaYzZs3c+zYsXcapxBCCCGEEEII8TaULO4AhHgVU1PT4g7hvaSjo4OZmVlxh/HOZGRkoK2tXdxhvFdWrFhBw4YNqVKlitL2+PFjXFxc6NOnDx999FGe44YPH85vv/3GDz/8gLW1Nb/++isDBgygUqVKfPjhh3mOKVWqFH5+fri5uVGmTBliYmIIDAwkOzubGTNmFDpme3t7Fi9ejI2NDU+ePGHevHm0bt2aK1euvLHvdbVaTVZWFiVL5v5P3KZNmwgMDGTGjBk0b96cZ8+ece7cOY0+vXv3JjAwkDFjxihzmJiY8PDhwzcSnxBCWI/eWWxrJ8xqV2xrCyGEEEKI94PsEBbvvZdLRqhUKlasWEGnTp3Q09PDzs6O7du3a4w5cOAA9erVQ0dHB3Nzc0aPHs2zZ8/yXSM9PZ2RI0diYWGBvr4+H3zwAZGRkcr1sLAwypQpw549e3B0dMTAwEDZoZvj+PHjtGrVivLly2NsbEzTpk05efKkxn0AdOrUCZVKpbwH2LZtG25ubsrOy8mTJxcYb36+/PJL7O3t0dPTw8bGhvHjxxe4g9Pf35+OHTsyefJkTE1NMTIyon///mRkZGj0y87OZtSoUZiYmGBmZsakSZM0rs+dOxdnZ2f09fWxtLRkwIABpKamFhhrYmIiHTp0wMDAACMjI3x9fbl165ZyPae8xYoVK6hatSqlS5fOd67vvvsOS0tL9PT06NSpE3PnzqVMmTLK9fj4eDp06EDFihUxMDDA3d2dffv2acxhbW3NtGnT8PPzw8DAgCpVqrB9+3bu3LmjxFmrVi1OnDihjMn5XOzYsQMHBwf09PT4+OOPSUtLY9WqVVhbW1O2bFkGDx5MVlaWMm7NmjXUrVsXQ0NDzMzM6N69O7dv3y7weeUlPDwcHx8fjbY2bdowbdo0OnXqlO+4w4cP06tXLzw9PbG2tqZfv364uLgUuAPWxsaG3r174+LiQpUqVfjwww/p0aMHBw8eVPrkfJ7mzJmDubk55cqVY+DAgRqfwe7du9OyZUtsbGyoUaMGc+fO5eHDh5w5cybftdPT0xk8eDAVKlSgdOnSNGrUiOPHjyvXIyMjUalU/PLLL9SpUwcdHR0OHTqUa55nz54xZMgQvvnmG/r374+9vT1OTk74+vpq9GvVqhX37t3jwIED+cYkhBBCCCGEEEL8W0lCWPwrTZ48GV9fX86cOUPbtm3p0aMH9+7dAyApKYm2bdvi7u5OTEwMISEhrFy5kmnTpuU7X1BQEEeOHCE8PJwzZ87QpUsXvL29uXz5stInLS2NOXPmsGbNGn7//XcSExMZOXKkcv3Ro0f06tWLQ4cO8ccff2BnZ0fbtm159OgRgJLACg0NJTk5WXl/8OBB/Pz8GDJkCBcuXGDZsmWEhYUxffr0Ij8XQ0NDwsLCuHDhAgsWLOC7775j3rx5BY6JiIggNjaWyMhI1q9fz+bNm5k8ebJGn1WrVqGvr8/Ro0f5+uuvmTJlCnv37lWulyhRgoULF3L+/HlWrVrFb7/9xqhRo/JdMzs7mw4dOihJt7179/Lnn3/StWtXjX5Xrlxh06ZNbN68Od+6rVFRUfTv358hQ4Zw+vRpWrVqlevZpaam0rZtWyIiIjh16hTe3t74+PiQmJio0W/evHl4eHhw6tQp2rVrR8+ePfHz8+PTTz/l5MmTVKtWDT8/P148izMtLY2FCxcSHh7O7t27iYyMpFOnTuzatYtdu3axZs0ali1bxsaNG5UxmZmZTJ06lZiYGLZu3UpCQgL+/v4asVhbW+dKvL/o3r17XLhwgbp16+bbJz8NGzZk+/btJCUloVar2b9/P5cuXaJ169ZKH39/fzw9PfOd48qVK+zevZumTZtqtO/fv5/4+Hj279/PqlWrCAsLIywsLM85MjIyWL58OcbGxri4uOS71qhRo9i0aROrVq3i5MmT2Nra4uXlpXzP5xg9ejSzZs0iNjaWWrVq5Zrn5MmTJCUlUaJECVxdXTE3N6dNmza5dghra2tTu3ZtjWR3YaSnp/Pw4UONlxBCCCGEEEII8d5RC/Geadq0qXrIkCHK+ypVqqjnzZunvAfU48aNU96npqaqAfUvv/yiVqvV6q+++krt4OCgzs7OVvp8++23agMDA3VWVlauNa5evarW0tJSJyUlacTRokUL9ZgxY9RqtVodGhqqBtRXrlzRmLNixYr53kdWVpba0NBQ/fPPP2vEvmXLllzrzJgxQ6NtzZo1anNz83zn7tWrl7pDhw75Xs/xzTffqOvUqaO8nzhxotrFxUVjHhMTE/Xjx4+VtpCQkFzPqlGjRhrzuru7q7/88st81/3pp5/U5cqVy/f6r7/+qtbS0lInJiYqbefPn1cD6mPHjimxlipVSn379u0C77Fr167qdu3aabT16NFDbWxsXOC4GjVqqBctWqS8r1KlivrTTz9V3icnJ6sB9fjx45W2I0eOqAF1cnKyWq3O+3Px2WefqfX09NSPHj1S2ry8vNSfffZZvrEcP35cDWiMad68uUZ8Lzt16pQa0HiGL8vr86ZWq9VPnz5V+/n5qQF1yZIl1dra2upVq1Zp9Bk9erS6Z8+eucY2aNBAraOjowbU/fr1Uz4navXzz1OVKlXUz549U9q6dOmi7tq1q8YcP//8s1pfX1+tUqnUlSpVUr7meUlNTVWXKlVKvXbtWqUtIyNDXalSJfXXX3+tVqvV6v3796sB9datW/OdR61Wq9evX68G1FZWVuqNGzeqT5w4oe7WrZu6XLly6rt372r07dSpk9rf31+j7a+//lID6lOnTuU5/8SJE9VArldKSkqBcQkh/vdU+XJHsb2EEEIIIcR/V0pKSqF+DpUdwuJf6cXdf/r6+hgZGSl/ch8bG0uDBg1QqVRKHw8PD1JTU7l+/Xquuc6ePUtWVhb29vYYGBgorwMHDhAfH6/009PTo1q1asp7c3NzjT/zv3XrFoGBgdjZ2WFsbIyRkRGpqam5dqG+LCYmhilTpmisHRgYSHJyMmlpaUV6Lj/++CMeHh6YmZlhYGDAuHHjXrm+i4sLenp6yvsGDRqQmprKtWvXlLaXd1u+fO/79u2jRYsWWFhYYGhoSM+ePbl7926+8cfGxmJpaYmlpaXS5uTkRJkyZYiNjVXaqlSp8sq6snFxcdSrV0+j7eX3qampjBw5EkdHR8qUKYOBgQGxsbG5ns2L91mxYkUAnJ2dc7W9eO8vfy4qVqyItbU1BgYGGm0vjomOjsbHxwcrKysMDQ2VXbYvxhMREUFQUFC+9/3kyROAAktp5GfRokX88ccfbN++nejoaIKDgxk4cKBGGY2ZM2eyevXqXGN//PFHTp48ybp169i5cydz5szRuF6jRg20tLSU9y9/VgCaNWvG6dOnOXz4MN7e3vj6+uZbMiM+Pp7MzEw8PDyUtlKlSlGvXj2Nzwrwyt3S2dnZAIwdO5bOnTtTp04dQkNDUalU/PTTTxp9dXV1i/z9N2bMGFJSUpTXi99DQgghhBBCCCHE+0IOlRP/SqVKldJ4r1KplGRPUaWmpqKlpUV0dLRGIgvQSOrltab6hdIBvXr14u7duyxYsIAqVaqgo6NDgwYNctXjzWv9yZMn53kAWFGSfUeOHKFHjx5MnjwZLy8vjI2NCQ8PJzg4uNBz5Keg552QkED79u35/PPPmT59OiYmJhw6dIi+ffuSkZGhkWwuKn19/X8Ud46RI0eyd+9e5syZg62tLbq6unz88ce5vjYv3mfOLxTyanvxs5bXsynoeT1+/BgvLy+8vLxYu3YtpqamJCYm4uXl9crPyovKly8PwP3794t0GNuTJ0/46quv2LJlC+3aPT9YqFatWpw+fZo5c+bQsmXLAsfnJPGdnJzIysqiX79+jBgxQvneKcz3pr6+Pra2ttja2lK/fn3s7OxYuXIlY8aMKfR95OVVnxdzc3Ml9hw6OjrY2Njk+uXAvXv3NBL9haGjo4OOjk6RxgghhBBCCCGEEO+aJITFf46joyObNm1CrVYrCbyoqCgMDQ2pXLlyrv6urq5kZWVx+/ZtGjdu/NrrRkVFsWTJEtq2bQvAtWvX+PvvvzX6lCpVSuNwMQA3Nzfi4uKwtbV97bXh+UFhVapUYezYsUrb1atXXzkuJiaGJ0+eoKurC8Aff/yBgYGBxu7dgkRHR5OdnU1wcDAlSjz/o4MNGzYUOMbR0ZFr165x7do1ZZ0LFy7w4MEDjWRdYTg4OGgcMAbkeh8VFYW/v79y0FpqaioJCQlFWudNuXjxInfv3mXWrFnKvb94UF1hVatWDSMjIy5cuIC9vX2hx2VmZpKZmal8rXJoaWkV+Zcq2dnZZGZmkp2dneuXKUWdJz09Pc9r1apVQ1tbm6ioKKpUqQI8v4fjx48zdOjQIq2Tc+BcXFwcjRo1UuZKSEhQ5s5x7tw5Pv7446LfjBBCCCGEEEII8Z6ThLD4zxkwYADz589n0KBBBAUFERcXx8SJExk+fHiuJBiAvb09PXr0wM/Pj+DgYFxdXblz5w4RERHUqlVL2UX5KnZ2dqxZs4a6devy8OFDvvjiCyXJmsPa2pqIiAg8PDzQ0dGhbNmyTJgwgfbt22NlZcXHH39MiRIliImJ4dy5cwUehJfX+omJiYSHh+Pu7s7OnTvZsmXLK8dlZGTQt29fxo0bR0JCAhMnTiQoKCjPZ5UXW1tbMjMzWbRoET4+PkRFRbF06dICx7Rs2RJnZ2d69OjB/PnzefbsGQMGDKBp06ZFPiRt0KBBNGnShLlz5+Lj48Nvv/3GL7/8olEyxM7Ojs2bN+Pj44NKpWL8+PGvvaP8n7KyskJbW5tFixbRv39/zp07x9SpU4s8T4kSJWjZsiWHDh2iY8eOSntqaipXrlxR3v/111+cPn0aExMTrKysMDIyomnTpsrns0qVKhw4cIDVq1czd+5cZdyYMWNISkpSykasXbuWUqVK4ezsjI6ODidOnGDMmDF07do1167g/Dx+/Jjp06fz4YcfYm5uzt9//823335LUlISXbp0yXOMvr4+n3/+OV988YVyD19//TVpaWn07du3SM/MyMiI/v37M3HiRCwtLalSpQrffPMNgMb6CQkJJCUlvXK3tBBCvK6EWYX7/xZCCCGEEEK8DVJDWPznWFhYsGvXLo4dO4aLiwv9+/dXEp75CQ0Nxc/PjxEjRuDg4EDHjh05fvw4VlZWhV535cqV3L9/Hzc3N3r27MngwYOpUKGCRp/g4GD27t2LpaUlrq6uAHh5ebFjxw5+/fVX3N3dqV+/PvPmzcu1Y/FVPvzwQ4YNG0ZQUBC1a9fm8OHDjB8//pXjWrRogZ2dHU2aNKFr1658+OGHTJo0qdDruri4MHfuXGbPnk3NmjVZu3YtM2fOLHCMSqVi27ZtlC1bliZNmtCyZUtsbGz48ccfC71uDg8PD5YuXcrcuXNxcXFh9+7dDBs2TKPcxty5cylbtiwNGzbEx8cHLy8v3NzcirzWm2BqakpYWBg//fQTTk5OzJo1K1cdXnj+y4NXfR0CAgIIDw/XSG6fOHECV1dX5fM1fPhwXF1dmTBhgtIn55cGPXr0UGKYPn06/fv3V/okJydrlFEoWbIks2fPpl69etSqVYvJkycTFBTEihUrCn3vWlpaXLx4kc6dO2Nvb4+Pjw93797l4MGD1KhRI99xs2bNonPnzvTs2RM3NzeuXLnCnj17KFu2bKHXzvHNN9/wySef0LNnT9zd3bl69Sq//fabxlzr16+ndevWRf4eFEIIIYQQQggh/g1U6heLoAoh/hX8/f158OABW7dufS/med8EBgZy8eJFDh48WNyhvJa0tDTKlSvHL7/8gqenZ7791Go1H3zwAcOGDaNbt27vLsD/sIyMDOzs7Fi3bp3GQXbwfOdw1apVOXXqFLVr137lXA8fPsTY2JiUlBSMjIzeUsRCCCGEEEIIIcRzhf05VHYIC/EvtWPHDgwMDNixY0dxh1Ls5syZQ0xMDFeuXGHRokWsWrWKXr16FXdYr23//v00b968wGQwPN9pvXz5cp49e/ZuAvsfkJiYyFdffZUrGdymTZsCdzELIYQQQgghhBD/FrJDWIh/odu3b/Pw4UMAzM3N0dfXf615/is7hH19fYmMjOTRo0fY2NgwaNAgjfIHQvxTSUlJPHnyBPj/daBfRXYICyGEEEIIIYR4lwr7c6gkhIUQ4g3x9PSkdu3azJ8/H3heB3jo0KEMHTr0ra3xPurZsyeOjo589dVXxR3KG/H333/j5OTEyZMnqVy5cqHHSUJYCCGEEEIIIcS7JCUjhBCimB0/fpx+/foVdxiv5Onp+caS1jExMezatYvBgwcrbZs3b6Z169aUK1cOlUrF6dOnc427efMmPXv2xMzMDH19fdzc3Ni0aVOBa23evJlWrVphamqKkZERDRo0YM+ePa8V95EjR2jevDn6+voYGRnRpEkTZUdw+fLl8fPzY+LEia81txBCCCGEEEII8T4pWdwBCCHEf5WpqWlxh/DOLVq0iC5dumBgYKC0PX78mEaNGuHr60tgYGCe4/z8/Hjw4AHbt2+nfPnyrFu3Dl9fX06cOIGrq2ueY37//XdatWrFjBkzKFOmDKGhofj4+HD06NF8x+TlyJEjeHt7M2bMGBYtWkTJkiWJiYmhRIn//zvT3r17U6dOHb755htMTEwKPbcQQrxvrEfvLO4QCiVhVrviDkEIIYQQ4j9LdggLIcRbYm1trVHaQaVSsWLFCjp16oSenh52dnZs375dY8yBAweoV68eOjo6mJubM3r06AIPjUtPT2fkyJFYWFigr6/PBx98QGRkpHL97t27dOvWDQsLC/T09HB2dmb9+vXKdX9/fw4cOMCCBQtQqVSoVCoSEhIAOHfuHG3atMHAwICKFSvSs2dP/v7773xjycrKYuPGjfj4+Gi09+zZkwkTJtCyZct8xx4+fJhBgwZRr149bGxsGDduHGXKlCE6OjrfMfPnz2fUqFG4u7tjZ2fHjBkzsLOz4+eff1b6eHp6MnjwYEaNGoWJiQlmZmZMmjRJY55hw4YxePBgRo8eTY0aNXBwcMDX1xcdHR2lT40aNahUqRJbtmzJNx4hhBBCCCGEEOLfQBLCQgjxDk2ePBlfX1/OnDlD27Zt6dGjB/fu3QOeH1zWtm1b3N3diYmJISQkhJUrVzJt2rR85wsKCuLIkSOEh4dz5swZunTpgre3N5cvXwbg6dOn1KlTh507d3Lu3Dn69etHz549OXbsGAALFiygQYMGBAYGkpycTHJyMpaWljx48IDmzZvj6urKiRMn2L17N7du3cLX1zffWM6cOUNKSgp169Yt8nNp2LAhP/74I/fu3SM7O5vw8HCePn2Kp6en0sfT0xN/f/9858jOzubRo0e5dvCuWrUKfX19jh49ytdff82UKVPYu3cv8PyAxqNHj1KhQgUaNmxIxYoVadq0KYcOHco1f7169Th48GC+66enp/Pw4UONlxBCCCGEEEII8b6RhLAQQrxD/v7+dOvWDVtbW2bMmEFqaqqSnF2yZAmWlpYsXryY6tWr07FjRyZPnkxwcDDZ2dm55kpMTCQ0NJSffvqJxo0bU61aNUaOHEmjRo0IDQ0FwMLCgpEjR1K7dm1sbGwYNGgQ3t7ebNiwAQBjY2O0tbXR09PDzMwMMzMztLS0WLx4Ma6ursyYMYPq1avj6urK999/z/79+7l06VKe93b16lW0tLSoUKFCkZ/Lhg0byMzMpFy5cujo6PDZZ5+xZcsWbG1tlT5WVlaYm5vnO8ecOXNITU3NlbSuVasWEydOxM7ODj8/P+rWrUtERAQAf/75JwCTJk0iMDCQ3bt34+bmRosWLZSkeo5KlSpx9erVfNefOXMmxsbGysvS0rLIz0EIIYQQQgghhHjbpIawEEK8Q7Vq1VL+nXOA2e3btwGIjY2lQYMGqFQqpY+Hhwepqalcv34dKysrjbnOnj1LVlYW9vb2Gu3p6emUK1cOeF7GYcaMGWzYsIGkpCQyMjJIT09HT0+vwDhjYmLYv3+/Ri3gHPHx8bnWBHjy5Ak6Ojoa8RfW+PHjefDgAfv27aN8+fJs3boVX19fDh48iLOzMwCrV6/Od/y6deuYPHky27Zty5WQfvGZA5ibmyvPPCfR/tlnn9G7d28AXF1diYiI4Pvvv2fmzJnKOF1dXdLS0vKNYcyYMQwfPlx5//DhQ0kKCyGEEEIIIYR470hCWAgh3qFSpUppvFepVHnu/i2M1NRUtLS0iI6ORktLS+NaTiL3m2++YcGCBcyfPx9nZ2f09fUZOnQoGRkZr5zbx8eH2bNn57qW3y7d8uXLk5aWRkZGBtra2oW+j/j4eBYvXsy5c+eoUaMGAC4uLhw8eJBvv/2WpUuXFjg+PDycgIAAfvrppzzrFBf0zHPuxcnJSaOPo6MjiYmJGm337t0r8KBAHR0djbrDQgghhBBCCCHE+0gSwkII8Z5wdHRk06ZNqNVqZZdtVFQUhoaGVK5cOVd/V1dXsrKyuH37No0bN85zzqioKDp06MCnn34KPN8Re+nSJY0EqLa2NllZWRrj3Nzc2LRpE9bW1pQsWbj/VNSuXRuACxcuKP8ujJxdtyVKaFYx0tLSemWyfP369fTp04fw8HDatSv6ifTW1tZUqlSJuLg4jfZLly7Rpk0bjbZz585p1DQWQgghhBBCCCH+jSQhLIQQ74kBAwYwf/58Bg0aRFBQEHFxcUycOJHhw4fnSpYC2Nvb06NHD/z8/AgODsbV1ZU7d+4QERFBrVq1aNeuHXZ2dmzcuJHDhw9TtmxZ5s6dy61btzQSwtbW1hw9epSEhAQMDAwwMTFh4MCBfPfdd3Tr1o1Ro0ZhYmLClStXCA8PZ8WKFbl2JAOYmpri5ubGoUOHNBLC9+7dIzExkRs3bgAoydecmsXVq1fH1taWzz77jDlz5lCuXDm2bt3K3r172bFjhzKPn58fFhYWShmHdevW0atXLxYsWMAHH3zAzZs3geelHYyNjQv1zFUqFV988QUTJ07ExcWF2rVrs2rVKi5evMjGjRuVfmlpaURHRzNjxoxCzSuEEO+rhFlF/+WZEEIIIYT4b5FD5YQQ4j1hYWHBrl27OHbsGC4uLvTv35++ffsybty4fMeEhobi5+fHiBEjcHBwoGPHjhw/flypNzxu3Djc3Nzw8vLC09MTMzMzOnbsqDHHyJEj0dLSwsnJCVNTUxITE6lUqRJRUVFkZWXRunVrnJ2dGTp0KGXKlMkzOZ0jICCAtWvXarRt374dV1dXZQfvJ598gqurq1IKolSpUuzatQtTU1N8fHyoVasWq1evZtWqVbRt21aZJzExkeTkZOX98uXLefbsGQMHDsTc3Fx5DRkypHAP/P8MHTqUMWPGMGzYMFxcXIiIiGDv3r1Uq1ZN6bNt2zasrKzy3YkthBBCCCGEEEL8W6jUarW6uIMQQgjx3/DkyRMcHBz48ccfadCgQXGH88bUr1+fwYMH071790KPefjwIcbGxqSkpGBkZPQWoxNCCCGEEEIIIQr/c6jsEBZCCPHG6Orqsnr1av7+++/iDuWN+fvvv/noo4/o1q1bcYcihBBCCCGEEEL8Y7JDWAghhHgLZIewEEIIIYQQQoh3SXYICyGKhaenJ0OHDlXeW1tbM3/+/GKL530zadIkjQPXiktCQgIqlYrTp08X2O/lr+fbNH78ePr16/dO1nrZ0qVL8fHxKZa1hRBCCCGEEEKId0kSwkKIt+r48ePFluQT+bO0tCQ5OZmaNWsCEBkZiUql4sGDBxr9Nm/ezNSpU996PDdv3mTBggWMHTs2V/ugQYOwsbFBR0cHS0tLfHx8iIiIAODevXsMGjQIBwcHdHV1sbKyYvDgwaSkpOS5zt27d6lcuXKue+3Tpw8nT57k4MGDucZERkYyadKkN3avQgghhBBCCCFEcZKEsBDirTI1NUVPT6+4w/jHMjIyijuEQsnKyiI7O/uV/bS0tDAzM6NkyZIF9jMxMcHQ0PBNhZevFStW0LBhQ6pUqaK0JSQkUKdOHX777Te++eYbzp49y+7du2nWrBkDBw4E4MaNG9y4cYM5c+Zw7tw5wsLC2L17N3379s1znb59+1KrVq1c7dra2nTv3p2FCxcqbUuXLuX27dvK+4yMDIKDg8nMzHxTty2EEEIIIYQQQrxzkhAWQrxVL5eMuHjxIo0aNaJ06dI4OTmxb98+VCoVW7duBf5/KYPNmzfTrFkz9PT0cHFx4ciRIxrzbtq0iRo1aqCjo4O1tTXBwcEa19PT0/nyyy+xtLRER0cHW1tbVq5cqVw/d+4cbdq0wcDAgIoVK9KzZ0+Ng9A8PT0JCgpi6NChlC9fHi8vLwAOHDhAvXr10NHRwdzcnNGjR/Ps2TMAVq9eTbly5UhPT9eIpWPHjvTs2TPfZ/T9998r92Jubk5QUJBybe7cuTg7O6Ovr4+lpSUDBgwgNTVVuR4WFkaZMmXYvn07Tk5O6OjokJiYiLW1NTNmzKBPnz4YGhpiZWXF8uXLlXEvloxISEigWbNmAJQtWxaVSoW/v7/yHF4uAVLQvADXrl3D19eXMmXKYGJiQocOHUhISMj3/gHCw8NzlWwYMGAAKpWKY8eO0blzZ+zt7alRowbDhw/njz/+AKBmzZps2rQJHx8fqlWrRvPmzZk+fTo///yz8nXJERISwoMHDxg5cmSeMfj4+LB9+3aePHkCPN9F/eGHH7JlyxbOnz9P8+bNAVCpVAXeixBCCCGEEEII8T6ThLAQ4p3JysqiY8eO6OnpcfToUZYvX56rRECOsWPHMnLkSE6fPo29vT3dunVTEnzR0dH4+vryySefcPbsWSZNmsT48eMJCwtTxvv5+bF+/XoWLlxIbGwsy5Ytw8DAAIAHDx7QvHlzXF1dOXHiBLt37+bWrVv4+vpqxLBq1Sq0tbWJiopi6dKlJCUl0bZtW9zd3YmJiSEkJISVK1cybdo0ALp06UJWVhbbt29X5rh9+zY7d+6kT58+ed5nSEgIAwcOpF+/fpw9e5bt27dja2urXC9RogQLFy7k/PnzrFq1it9++41Ro0ZpzJGWlsbs2bNZsWIF58+fp0KFCgAEBwdTt25dTp06xYABA/j888+Ji4vLFYOlpSWbNm0CIC4ujuTkZBYsWJBnvK+aNzMzEy8vLwwNDTl48CBRUVEYGBjg7e2d7y7re/fuceHCBerWravRtnv3bgYOHIi+vn6uMWXKlMk3vpzi+S/ufr5w4QJTpkxh9erVlCiR93/66taty7Nnzzh69CgA7dq1Y8+ePfz666/s2rWLRYsWMWLEiHx3Vaenp/Pw4UONlxBCCCGEEEII8d5RCyHEG9S0aVP1kCFDlPdVqlRRz5s3T61Wq9W//PKLumTJkurk5GTl+t69e9WAesuWLWq1Wq3+66+/1IB6xYoVSp/z58+rAXVsbKxarVaru3fvrm7VqpXGul988YXayclJrVar1XFxcWpAvXfv3jxjnDp1qrp169YabdeuXVMD6ri4OOU+XF1dNfp89dVXagcHB3V2drbS9u2336oNDAzUWVlZarVarf7888/Vbdq0Ua4HBwerbWxslDETJ05Uu7i4KNcrVaqkHjt2bJ5x5uWnn35SlytXTnkfGhqqBtSnT5/W6FelShX1p59+qrzPzs5WV6hQQR0SEqJWq///cz516pRarVar9+/frwbU9+/f15gnr69nQfOuWbMm1zNKT09X6+rqqvfs2ZPnPZ06dUoNqBMTE5W2o0ePqgH15s2bC/FU/r87d+6orays1F999ZXS9vTpU3WtWrXUa9asKfBe1Wq1umzZsuqwsDC1Wv3881q/fn314MGD1R9//LG6UaNG6vnz56ufPXuW59oTJ05UA7leKSkpRboHIYQQQgghhBDidaSkpBTq51DZISyEeGfi4uKwtLTEzMxMaatXr16efV+s82pubg6g1HONjY3Fw8NDo7+HhweXL18mKyuL06dPo6WlRdOmTfOcOyYmhv3792NgYKC8qlevDkB8fLzSr06dOhrjYmNjadCggUbJAA8PD1JTU7l+/ToAgYGB/PrrryQlJQHPSzr4+/vnWWbg9u3b3LhxgxYtWuQZJ8C+ffto0aIFFhYWGBoa0rNnT+7evUtaWprSR1tbO8+6uC+2qVQqzMzMNGrivq6C5o2JieHKlSsYGhoqz9bExISnT59qPNsX5ZRoKF26tNKmVquLHNfDhw9p164dTk5OGofAjRkzBkdHRz799NNXzqGrq6s827/++ott27bRqVMnatSoQUREBJmZmfnWaB4zZgwpKSnK69q1a0W+ByGEEEIIIYQQ4m0r+DQhIYQoJqVKlVL+nZNMLcxhafA8qVeQ1NRUfHx8mD17dq5rOclnIM9SBa/i6uqKi4sLq1evpnXr1pw/f56dO3e+VpwJCQm0b9+ezz//nOnTp2NiYsKhQ4fo27cvGRkZymF9urq6eSacX3yG8Pw5FvYZFqSgeVNTU6lTpw5r167NNc7U1DTP+cqXLw/A/fv3lT52dnaoVCouXrxYqJgePXqEt7c3hoaGbNmyRSPG3377jbNnz7Jx40bg/yeby5cvz9ixY5k8ebLS9969e0oMn3/+OfC83AQ8T7znV38YQEdHBx0dnULFK4QQQgghhBBCFBdJCAsh3hkHBweuXbvGrVu3qFixIgDHjx8v8jyOjo5ERUVptEVFRWFvb4+WlhbOzs5kZ2dz4MABWrZsmWu8m5sbmzZtwtraOt96sPmtu2nTJtRqtZKAjYqKwtDQkMqVKyv9AgICmD9/PklJSbRs2RJLS8s85zM0NMTa2pqIiAjlULcXRUdHk52dTXBwsFL3dsOGDYWOtyi0tbWB53We/wk3Nzd+/PFHKlSogJGRUaHGVKtWDSMjIy5cuIC9vT0AJiYmeHl58e233zJ48OBcyfkHDx4odYQfPnyIl5cXOjo6bN++XWOnMTw/gDBnFzI8/8z16dOHgwcPUq1aNaU9Pj6ep0+f4urqqjHe09MTT0/Pwj4CIYQQQgghhBDivSYlI4QQ70yrVq2oVq0avXr14syZM0RFRTFu3DiAPHe45mfEiBFEREQwdepULl26xKpVq1i8eLGye9Pa2ppevXrRp08ftm7dyl9//UVkZKSSTB04cCD37t2jW7duHD9+nPj4ePbs2UPv3r0LTIgOGDCAa9euMWjQIC5evMi2bduYOHEiw4cP1ziorHv37ly/fp3vvvsu38PkckyaNIng4GAWLlzI5cuXOXnyJIsWLQLA1taWzMxMFi1axJ9//smaNWtYunRpoZ9TUVSpUgWVSsWOHTu4c+cOqamprzVPjx49KF++PB06dODgwYPKsx88eLBSVuNlJUqUoGXLlhw6dEij/dtvvyUrK4t69eqxadMmLl++TGxsLAsXLqRBgwbA82Rw69atefz4MStXruThw4fcvHmTmzdvKl/LatWqUbNmTeVVtWpV4HmCP+cAPoCDBw9iY2OjkSQWQgghhBBCCCH+ayQhLIR4Z7S0tNi6dSupqam4u7sTEBDA2LFjAXLt6iyIm5sbGzZsIDw8nJo1azJhwgSmTJmCv7+/0ickJISPP/6YAQMGUL16dQIDA3n8+DEAlSpVIioqiqysLFq3bo2zszNDhw6lTJkyGondl1lYWLBr1y6OHTuGi4sL/fv3p2/fvkpSO4exsTGdO3fGwMCAjh07FngvvXr1Yv78+SxZsoQaNWrQvn17Ll++DICLiwtz585l9uzZ1KxZk7Vr1zJz5sxCP6eisLCwYPLkyYwePZqKFSsSFBT0WvPo6enx+++/Y2VlxUcffYSjoyN9+/bl6dOnBe4YDggIIDw8XKOkhY2NDSdPnqRZs2aMGDGCmjVr0qpVKyIiIggJCQHg5MmTHD16lLNnz2Jra4u5ubnyKmoN3/Xr1xMYGPha9y2EEEIIIYQQQvxbqNSvc3KPEEK8IVFRUTRq1IgrV678p3ZmtmjRgho1arBw4cLiDuVfQa1W88EHHzBs2DC6dev2ztc/f/48zZs359KlSxgbG7+ROR8+fIixsTEpKSmFLp8hhBBCCCGEEEK8rsL+HCo1hIUQ79SWLVswMDDAzs6OK1euMGTIEDw8PP4zyeD79+8TGRlJZGQkS5YsKe5w/jVUKhXLly/n7NmzxbJ+cnIyq1evfmPJYCGEEEIIIYQQ4n0lJSPE/yxPT0+GDh2qvLe2tmb+/PnFFs/7ZtKkSdSuXfuNz/vo0SMGDhyIvb09rVq1wsXFhW3btr3TGN4mV1dX/P39mT17Ng4ODkUaGxkZiUql4sGDBwCEhYUpB6f9Uz179mTGjBkF9inu74HatWvTs2fPYlm7ZcuWeHl55XntwoULVK5cWSk5IoQQQgghhBBC/JtJQliI/3P8+HH69etX3GH85/n5+XHp0iV+/fVXAJYsWUK5cuXy7Dty5EgiIiLeZXj/WEJCAikpKcoBd/9E165duXTp0j+eJyYmhl27djF48OAijVu+fDmenp4YGRlpJKpfdOnSJTp06ED58uUxMjKiUaNG7N+/v8B5z58/T+fOnbG2tkalUhWYhO7duzfjxo0jISGBvn37UrVqVXR1dalWrRoTJ04kIyMjz3FXrlzB0NCwUAn1p0+fMnDgQMqVK4eBgQGdO3fm1q1bynUnJyfq16/P3LlzXzmXEEIIIYQQQgjxvpOSEUL8H1NT0+IO4Y3IyMhAW1u7uMN4IwwMDDAwMCjuMIqNrq4uurq6/3ieRYsW0aVLlyI/y7S0NLy9vfH29mbMmDF59mnfvj12dnb89ttv6OrqMn/+fNq3b098fDxmZmb5zmtjY0OXLl0YNmxYvutnZWWxY8cOdu7cycWLF8nOzmbZsmXY2tpy7tw55aDAOXPmaIzLzMykW7duNG7cmMOHD7/yPocNG8bOnTv56aefMDY2JigoiI8++oioqCilT+/evQkMDGTMmDGULCn/6RRCPGc9emdxh1BkCbPaFXcIQgghhBCimMkOYSH+z8t/Ln/x4kUaNWpE6dKlcXJyYt++fahUKrZu3Qo83wmqUqnYvHkzzZo1Q09PDxcXF44cOaIx76ZNm6hRowY6OjpYW1sTHByscT09PZ0vv/wSS0tLdHR0sLW1ZeXKlcr1c+fO0aZNGwwMDKhYsSI9e/bk77//Vq57enoSFBTE0KFDKV++vPJn7wcOHKBevXro6Ohgbm7O6NGjefbsGQCrV6+mXLlypKena8TSsWPHQv/J/v379+nRowempqbo6upiZ2dHaGioxrMJDw+nYcOGlC5dmpo1a3LgwIFc80RHR1O3bl309PRo2LAhcXFxyrWXS0b4+/vTsWNH5syZg7m5OeXKlWPgwIFkZmYqfZKTk2nXrh26urpUrVqVdevW5fraJiYm0qFDBwwMDDAyMsLX11djR2jOut9//z1WVlYYGBgwYMAAsrKy+PrrrzEzM6NChQpMnz5dGdOnTx/at2+vcW+ZmZlUqFBB+XpmZ2czc+ZMZZeri4sLGzduzPcZv1wyIieuNWvWYG1tjbGxMZ988gmPHj3Kd46srCw2btyIj4+PRvvt27fx8fFRntPatWtzjR06dCijR4+mfv36ec79999/c/nyZUaPHk2tWrWws7Nj1qxZpKWlce7cuXxjcnd355tvvuGTTz5BR0cn336HDx+mVKlSuLu74+3tTWhoKK1bt8bGxoYPP/yQkSNHsnnz5lzjxo0bR/Xq1fH19c137hwpKSmsXLmSuXPn0rx5c+rUqUNoaCiHDx/mjz/+UPq1atWKe/fu5fkZFkIIIYQQQggh/k0kISxEHrKysujYsSN6enocPXqU5cuXM3bs2Dz7jh07lpEjR3L69Gns7e3p1q2bkniNjo7G19eXTz75hLNnzzJp0iTGjx9PWFiYMt7Pz4/169ezcOFCYmNjWbZsmbKT88GDBzRv3hxXV1dOnDjB7t27uXXrVq5E16pVq9DW1iYqKoqlS5eSlJRE27ZtcXd3JyYmhpCQEFauXMm0adMA6NKlC1lZWWzfvl2Z4/bt2+zcuZM+ffoU6hmNHz+eCxcu8MsvvxAbG0tISAjly5fX6PPFF18wYsQITp06RYMGDfDx8eHu3bu5nl9wcDAnTpygZMmSr1x///79xMfHs3//flatWkVYWFiu53njxg0iIyPZtGkTy5cv5/bt28r17OxsOnTooCT39u7dy59//knXrl011omPj+eXX35h9+7drF+/npUrV9KuXTuuX7/OgQMHmD17NuPGjePo0aMABAQEsHv3bpKTk5U5duzYQVpamjL3zJkzWb16NUuXLuX8+fMMGzaMTz/9tEhJxvj4eLZu3cqOHTvYsWMHBw4cYNasWfn2P3PmDCkpKdStW1ej3d/fn2vXrrF//342btzIkiVLNJ5TYZQrVw4HBwdWr17N48ePefbsGcuWLaNChQrUqVNH6Wdtbc2kSZOKNDfA9u3b8fHxQaVS5Xk9JSUFExMTjbbffvuNn376iW+//TbPMTl1mhMSEoDn36OZmZm0bNlS6VO9enWsrKw0frmjra1N7dq1OXjwYJHvQwghhBBCCCGEeJ/I370KkYe9e/cSHx9PZGSk8mfv06dPp1WrVrn6jhw5knbtnv/55eTJk6lRowZXrlyhevXqzJ07lxYtWjB+/HgA7O3tuXDhAt988w3+/v5cunSJDRs2sHfvXiUhZWNjo8y9ePFiXF1dNQ4D+/7777G0tOTSpUvY29sDYGdnx9dff630GTt2LJaWlixevBiVSkX16tW5ceMGX375JRMmTEBXV5fu3bsTGhpKly5dAPjhhx+wsrLC09OzUM8oMTERV1dXJdFobW2dq09QUBCdO3cGICQkhN27d7Ny5UpGjRql9Jk+fTpNmzYFYPTo0bRr146nT59SunTpPNctW7YsixcvRktLi+rVq9OuXTsiIiIIDAzk4sWL7Nu3j+PHjytxrVixAjs7O2V8REQEZ8+e5a+//sLS0hJ4vmO6Ro0aHD9+HHd3d+B54vj777/H0NAQJycnmjVrRlxcHLt27aJEiRI4ODgwe/Zs9u/fzwcffEDDhg1xcHBgzZo1yv3lPF8DAwPS09OZMWMG+/bto0GDBsDzr/WhQ4dYtmyZ8gxeJTs7m7CwMAwNDYHnh8VFRERo7FZ+0dWrV9HS0qJChQpK26VLl/jll184duyYcr8rV67E0dGxUDHkUKlU7Nu3j44dO2JoaEiJEiWoUKECu3fvpmzZskq/atWq5fplQWFs27aNefPm5XntypUrLFq0SKNcxN27d/H39+eHH37AyMgoz3F6eno4ODhQqlQpAG7evIm2tnauWsMVK1bk5s2bGm2VKlXi6tWr+cabnp6usev+4cOHBd6fEEIIIYQQQghRHGSHsBB5iIuLw9LSUqMGar169fLsW6tWLeXf5ubmAMpOy9jYWDw8PDT6e3h4cPnyZbKysjh9+jRaWlr5JgNjYmLYv3+/UkvXwMCA6tWrA893iuZ4cTdmzroNGjTQ2Fnp4eFBamoq169fByAwMJBff/2VpKQk4Hl5An9//3x3Y77s888/Jzw8nNq1azNq1Kg8a7XmJD4BSpYsSd26dYmNjdXoU9Dzy0uNGjXQ0tLSGJPTPy4ujpIlS+Lm5qZct7W11UhOxsbGYmlpqSSD4fmhYWXKlNGIzdraWkm6wvMEoZOTEyVKlNBoezHWgIAApWzGrVu3+OWXX5Qdz1euXCEtLY1WrVppfD1Xr16t8bV8lZfjevH+8/LkyRN0dHQ0vq6xsbGULFlS43NTvXr1Qh3A9iK1Ws3AgQOpUKECBw8e5NixY3Ts2BEfHx+NndIREREEBQUVae7Y2Fhu3LhBixYtcl1LSkrC29ubLl26EBgYqLQHBgbSvXt3mjRpku+89erV4+LFi1hYWBQpHnhe0zktLS3f6zNnzsTY2Fh5vfgZE0IIIYQQQggh3heyQ1iIfyhnpyGgJN2ys7MLNfZVB4alpqbi4+PD7Nmzc13LSZ4C6OvrF2q9F7m6uuLi4sLq1atp3bo158+fZ+fOwh+O06ZNG65evcquXbvYu3cvLVq0YODAgbkO+HqVoj6/F/vnjCns837duHLWedXafn5+jB49miNHjnD48GGqVq1K48aNgedfS4CdO3fmSkYWVEe3MHEVdP/ly5cnLS3trRw2+Ntvv7Fjxw7u37+v7MhdsmQJe/fuZdWqVYwePfq1596+fTutWrXKtVP8xo0bNGvWjIYNG7J8+fJc8Wzfvl35DKrVarKzsylZsiTLly/PsxyJmZkZGRkZPHjwQCMhfuvWrVyH4t27d49q1arlG/OYMWMYPny48v7hw4eSFBZCCCGEEEII8d6RHcJC5MHBwYFr165pHDR2/PjxIs/j6OhIVFSURltUVBT29vZoaWnh7OxMdnZ2vjVk3dzcOH/+PNbW1tja2mq8CkoCOzo6cuTIEdRqtca6hoaGVK5cWWkLCAggLCyM0NBQWrZsWeTklampKb169eKHH35g/vz5uRJ0Lx7K9ezZM6Kjo4tclqAoHBwcePbsGadOnVLarly5wv3795X3jo6OXLt2jWvXriltFy5c4MGDBzg5Of2j9cuVK0fHjh0JDQ0lLCyM3r17K9ecnJzQ0dEhMTEx19fybSYNcw7lu3DhgtJWvXp15euRIy4ujgcPHhRp7pzdsi/ums55/0+T9Nu2baNDhw4abUlJSXh6eioHv7287pEjRzh9+rTymjJlCoaGhpw+fZpOnTrluU6dOnUoVaoUERERSltcXByJiYkaO9zh+QGPrq6u+caso6ODkZGRxksIIYQQQgghhHjfyA5hIfLQqlUrqlWrRq9evfj666959OgR48aNAyh0SQWAESNG4O7uztSpU+natStHjhxh8eLFLFmyBHj+5/+9evWiT58+LFy4EBcXF65evcrt27fx9fVl4MCBfPfdd3Tr1o1Ro0ZhYmLClStXCA8PZ8WKFRqlE140YMAA5s+fz6BBgwgKCiIuLo6JEycyfPhwjSRa9+7dGTlyJN999x2rV68u0jOaMGECderUoUaNGqSnp7Njx45cyd5vv/0WOzs7HB0dmTdvHvfv3y/0oXWvo3r16rRs2ZJ+/foREhJCqVKlGDFiBLq6usrXrWXLljg7O9OjRw/mz5/Ps2fPGDBgAE2bNs118NrrCAgIoH379mRlZdGrVy+l3dDQkJEjRzJs2DCys7Np1KgRKSkpREVFYWRkpNH3TTI1NcXNzY1Dhw4pyWEHBwe8vb357LPPCAkJoWTJkgwdOjTXjvWbN29y8+ZNrly5AsDZs2cxNDTEysoKExMTGjRoQNmyZenVq5dSm/q7777jr7/+UupqA7Ro0YJOnTopZSMyMjKUBHVGRgZJSUmcPn0aAwMDbG1tuX37NidOnNA49DAnGVylShXmzJnDnTt3lGs5O3lf/vydOHGCEiVKULNmTaXt2LFj+Pn5ERERgYWFBcbGxvTt25fhw4djYmKCkZERgwYNokGDBtSvX18Zl5CQQFJSksbhc0IIkTCr3as7CSGEEEII8Z6RHcJC5EFLS4utW7eSmpqKu7s7AQEBjB07FiDfw87y4ubmxoYNGwgPD6dmzZpMmDCBKVOm4O/vr/QJCQnh448/ZsCAAVSvXp3AwEAeP34MPD/EKioqiqysLFq3bo2zszNDhw6lTJkyuXZHvsjCwoJdu3Zx7NgxXFxc6N+/P3379lWS2jmMjY3p3LkzBgYGdOzYsfAPCNDW1mbMmDHUqlWLJk2aoKWlRXh4uEafWbNmMWvWLFxcXDh06BDbt29/rcPFimL16tVUrFiRJk2a0KlTJwIDAzE0NFS+biqVim3btlG2bFmaNGlCy5YtsbGx4ccff3wj67ds2RJzc3O8vLyoVKmSxrWpU6cyfvx4Zs6ciaOjI97e3uzcuZOqVau+kbXzExAQwNq1azXaQkNDqVSpEk2bNuWjjz6iX79+GgfPASxduhRXV1elTm+TJk1wdXVVErXly5dn9+7dpKam0rx5c+rWrcuhQ4fYtm0bLi4uyjzx8fH8/fffyvsbN27g6uqKq6srycnJzJkzB1dXVwICAgD4+eefqVevnsZnZe/evVy5coWIiAgqV66Mubm58iqKtLQ04uLiyMzMVNrmzZtH+/bt6dy5M02aNMHMzIzNmzdrjFu/fj2tW7emSpUqRVpPCCGEEEIIIYR436jUL/5NuRAiX1FRUTRq1IgrV64UWEf036ZFixbUqFGDhQsXvrE5ExISqFq1KqdOnVJ2pRaX69evY2lpyb59+/I8oOxNS01NxcLCgtDQUD766KO3vl5hPHnyBAcHB3788cdcZRDeRx9++CGNGjVi1KhRxR0K8HwXs52dHevWrct1SGRBHj58iLGxMSkpKVI+QgghhBBCCCHEW1fYn0OlZIQQ+diyZQsGBgbY2dlx5coVhgwZgoeHx38mGXz//n0iIyOJjIxUSlj8F/z222+kpqbi7OxMcnIyo0aNwtramiZNmrzVdbOzs/n7778JDg6mTJkyfPjhh291vaLQ1dVl9erVGrt032eNGjWiW7duxR2GIjExka+++qpIyWAhhBBCCCGEEOJ9JQlhIfLx6NEjvvzySxITEylfvjwtW7YkODi4uMN6Y1xdXbl//z6zZ8/GwcGhuMN5YzIzM/nqq6/4888/MTQ0pGHDhqxdu5ZSpUq91XUTExOpWrUqlStXJiwsjJIl36//efX09CzuEArtfdkZnCPn8D8hhBBCCCGEEOK/QEpGCCH+p3l6elK7dm3mz59f3KEwadIktm7dyunTp4s1jsKW/HiXz278+PHcunWL5cuXv/W1XrZ7925Gjx7NyZMnC6zd/TIpGSGEEEIIIYQQ4l0q7M+hcqicEEIIDZaWliQnJ1OzZk0AIiMjUalUPHjwQKPf5s2bmTp16luP5+bNmyxYsEA52PHF9kGDBmFjY4OOjg6Wlpb4+PgQERGh9Fm+fDmenp4YGRnleQ8JCQn07duXqlWroqurS7Vq1Zg4cSIZGRlKH29vb0qVKpXrYD4hhBBCCCGEEOLf6P36m2YhhPgPysjIQFtbu7jDICsrC5VK9cpdrlpaWpiZmb1yPhMTkzcVWoFWrFhBw4YNqVKlitKWkJCAh4cHZcqU4ZtvvsHZ2ZnMzEz27NnDwIEDuXjxIgBpaWl4e3vj7e3NmDFjcs198eJFsrOzWbZsGba2tpw7d47AwEAeP37MnDlzlH7+/v4sXLiQnj17vv0bFkKIt8h69M7iDuE/I2FWu+IOQQghhBDitcgOYSGEeMGaNWuoW7cuhoaGmJmZ0b17d27fvq1cDwsLo0yZMhpjtm7dikqlUt5PmjSJ2rVrs2LFCqpWrUrp0qVZvXo15cqVIz09XWNsx44dC0wyfv/999SoUQMdHR3Mzc0JCgpSrs2dOxdnZ2f09fWxtLRkwIABpKam5op1+/btODk5oaOjQ2JiItbW1syYMYM+ffpgaGiIlZWVRimGhIQEVCoVp0+fJiEhgWbNmgFQtmxZVCoV/v7+wPOSEUOHDlXGvWpegGvXruHr60uZMmUwMTGhQ4cOJCQk5Hv/AOHh4fj4+Gi0DRgwAJVKxbFjx+jcuTP29vbUqFGD4cOH88cffyj9hg4dyujRo6lfv36ec3t7exMaGkrr1q2xsbHhww8/ZOTIkWzevFmjn4+PDydOnCA+Pr7AWIUQQgghhBBCiPedJISFEOIFmZmZTJ06lZiYGLZu3UpCQoKSAC2KK1eusGnTJjZv3szp06fp0qULWVlZbN++Xelz+/Ztdu7cSZ8+ffKcIyQkhIEDB9KvXz/Onj3L9u3bNQ43K1GiBAsXLuT8+fOsWrWK3377LdeBbGlpacyePZsVK1Zw/vx5KlSoAEBwcDB169bl1KlTDBgwgM8//5y4uLhcMVhaWrJp0yYA4uLiSE5OZsGCBfned0HzZmZm4uXlhaGhIQcPHiQqKgoDAwO8vb01SjS86N69e1y4cIG6detqtO3evZuBAweir6+fa8zLCfuiSklJybX72crKiooVK3Lw4MF/NLcQQgghhBBCCFHcpGSEEEK84MXkrI2NDQsXLsTd3Z3U1FQMDAwKPU9GRgarV6/G1NRUaevevTuhoaF06dIFgB9++AErKys8PT3znGPatGmMGDGCIUOGKG3u7u7Kv1/enTtt2jT69+/PkiVLlPbMzEyWLFmCi4uLxtxt27ZlwIABAHz55ZfMmzeP/fv34+DgoNFPS0tLSY5WqFDhlcnWgub98ccfyc7OZsWKFcqO6tDQUMqUKUNkZCStW7fONV9iYiJqtZpKlSopbVeuXEGtVlO9evUCY3kdV65cYdGiRRrlInJUqlSJq1ev5js2PT1dYwf4w4cP33h8QgghhBBCCCHEPyU7hIUQ4gXR0dH4+PhgZWWFoaEhTZs2BZ4nJouiSpUqGslggMDAQH799VeSkpKA5yUd/P39NcpN5Lh9+zY3btygRYsW+a6xb98+WrRogYWFBYaGhvTs2ZO7d++Slpam9NHW1qZWrVq5xr7YplKpMDMz0yiN8boKmjcmJoYrV65gaGiIgYEBBgYGmJiY8PTp03xLMTx58gSA0qVLK21qtfofx5mXpKQkvL296dKlC4GBgbmu6+rqajzbl82cORNjY2PlZWlp+VbiFEIIIYQQQggh/glJCAshxP95/PgxXl5eGBkZsXbtWo4fP86WLVsAlJIGJUqUyJWQzMzMzDVXXqUMXF1dcXFxYfXq1URHR3P+/Pl8y1Ho6uoWGGtCQgLt27enVq1abNq0iejoaL799luNWHPmySvhXKpUKY33KpWK7OzsAtcsjILmTU1NpU6dOpw+fVrjdenSJbp3757nfOXLlwfg/v37SpudnR0qlUo5OO5NuHHjBs2aNaNhw4a56h7nuHfvXq4k/4vGjBlDSkqK8rp27dobi08IIYQQQgghhHhTpGSEEEL8n4sXL3L37l1mzZql7O48ceKERh9TU1MePXrE48ePlaTv6dOnC71GQEAA8+fPJykpiZYtW+a7i9TQ0BBra2siIiKUQ91eFB0dTXZ2NsHBwZQo8fx3exs2bCh0HEWhra0NQFZW1j+ax83NjR9//JEKFSpgZGRUqDHVqlXDyMiICxcuYG9vD4CJiQleXl58++23DB48OFfy/cGDB0WqI5yUlESzZs2oU6cOoaGhyvN8Uc4uZldX13zn0dHRQUdHp9DrCiGEEEIIIYQQxUESwkII8X+srKzQ1tZm0aJF9O/fn3PnzjF16lSNPh988AF6enp89dVXDB48mKNHjxIWFlboNbp3787IkSP57rvvWL16dYF9J02aRP/+/alQoQJt2rTh0aNHREVFMWjQIGxtbcnMzGTRokX4+PgQFRXF0qVLX+e2X6lKlSqoVCp27NhB27Zt0dXVLVI95Rw9evTgm2++oUOHDkyZMoXKlStz9epVNm/ezKhRo6hcuXKuMSVKlKBly5YcOnSIjh07Ku3ffvstHh4e1KtXjylTplCrVi2ePXvG3r17CQkJITY2FoCbN29y8+ZNrly5AsDZs2cxNDTEysoKExMTkpKS8PT0pEqVKsyZM4c7d+4oa5iZmSn//uOPP9DR0aFBgwZFvm8hhHifJMxqV9whCCGEEEKIYiYlI4QQ4v+YmpoSFhbGTz/9hJOTE7Nmzcp1uJiJiQk//PADu3btwtnZmfXr1zNp0qRCr2FsbEznzp0xMDDQSHDmpVevXsyfP58lS5ZQo0YN2rdvz+XLlwFwcXFh7ty5zJ49m5o1a7J27VpmzpxZ1FsuFAsLCyZPnszo0aOpWLEiQUFBrzWPnp4ev//+O1ZWVnz00Uc4OjrSt29fnj59WuCO4YCAAMLDwzVKWtjY2HDy5EmaNWvGiBEjqFmzJq1atSIiIoKQkBCl39KlS3F1dVVqAjdp0gRXV1e2b98OwN69e7ly5QoRERFUrlwZc3Nz5fWi9evX06NHD/T09F7r3oUQQgghhBBCiPeFSv22TucRQgiRpxYtWlCjRg0WLlxY3KH8K6jVaj744AOGDRtGt27d3vn6f//9Nw4ODpw4cYKqVasWetzDhw8xNjYmJSWl0CUyhBBCCCGEEEKI11XYn0Nlh7AQQrwj9+/fZ8uWLURGRjJw4MDiDudfQ6VSsXz5cp49e1Ys6yckJLBkyZIiJYOFEEIIIYQQQoj3lewQFkKId8Ta2pr79+8zfvx4Ro4cWdzhiLdMdggLIYQQQgghhHiXCvtzqBwqJ4QQ70hCQkJxhyCEEEIIIYQQQoj/cVIyQggh/qU8PT0ZOnRocYfxVty9e5cKFSq8F0n0CxcuULlyZR4/flzcoQghhBBCCCGEEP+Y7BAWQgjxjyUkJFC1alVOnTpF7dq1//F806dPp0OHDlhbWyttgwcPJioqinPnzuHo6Mjp06c1xkRGRjJv3jyOHTvGw4cPsbOz44svvqBHjx4FrvX06VNGjBhBeHg46enpeHl5sWTJEipWrAiAk5MT9evXZ+7cuYwfP/4f35sQomDWo3cWdwj/aQmz2hV3CEIIIYQQopjJDmEhhBD5ysjIeOdrpqWlsXLlSvr27ZvrWp8+fejatWue4w4fPkytWrXYtGkTZ86coXfv3vj5+bFjx44C1xs2bBg///wzP/30EwcOHODGjRt89NFHGn169+5NSEhIsR1sJ4QQQgghhBBCvCmSEBZCiP+INWvWULduXQwNDTEzM6N79+7cvn1buR4WFkaZMmU0xmzduhWVSqW8nzRpErVr12bFihVUrVqV0qVLA7B7924aNWpEmTJlKFeuHO3btyc+Pl4ZV7VqVQBcXV1RqVR4enoq11asWIGjoyOlS5emevXqLFmypMD72LVrFzo6OtSvX1+jfeHChQwcOBAbG5s8x3311VdMnTqVhg0bUq1aNYYMGYK3tzebN2/Od62UlBRWrlzJ3Llzad68OXXq1CE0NJTDhw/zxx9/KP1atWrFvXv3OHDgQIGxCyGEEEIIIYQQ7ztJCAshxH9EZmYmU6dOJSYmhq1bt5KQkIC/v3+R57ly5QqbNm1i8+bNSlmGx48fM3z4cE6cOEFERAQlSpSgU6dOZGdnA3Ds2DEA9u3bR3JyspKEXbt2LRMmTGD69OnExsYyY8YMxo8fz6pVq/Jd/+DBg9SpU6fIceclJSUFExMT5X1kZCQqlUqpTRwdHU1mZiYtW7ZU+lSvXh0rKyuOHDmitGlra1O7dm0OHjyY71rp6ek8fPhQ4yWEEEIIIYQQQrxvpIawEEL8R/Tp00f5t42NDQsXLsTd3Z3U1FQMDAwKPU9GRgarV6/G1NRUaevcubNGn++//x5TU1MuXLhAzZo1lb7lypXDzMxM6Tdx4kSCg4OVEgxVq1blwoULLFu2jF69euW5/tWrV6lUqVKh483Phg0bOH78OMuWLVPa9PT0cHBwoFSpUgDcvHkTbW3tXDunK1asyM2bNzXaKlWqxNWrV/Ndb+bMmUyePPkfxy2EEEIIIYQQQrxNskNYCCH+I6Kjo/Hx8cHKygpDQ0OaNm0KQGJiYpHmqVKlikYyGODy5ct069YNGxsbjIyMlMPeCpr78ePHxMfH07dvXwwMDJTXtGnTNMpNvOzJkydKqYrXtX//fnr37s13331HjRo1lPZ69epx8eJFLCwsijynrq4uaWlp+V4fM2YMKSkpyuvatWuvFbsQQgghhBBCCPE2yQ5hIYT4D3j8+DFeXl54eXmxdu1aTE1NSUxMxMvLSzkYrkSJEqjVao1xmZmZuebS19fP1ebj40OVKlX47rvvqFSpEtnZ2dSsWbPAQ+dSU1MB+O677/jggw80rmlpaeU7rnz58ty/fz//m32FAwcO4OPjw7x58/Dz8yuwr5mZGRkZGTx48EBjl/CtW7c0djoD3Lt3j2rVquU7l46ODjo6Oq8dtxBCCCGEEEII8S5IQlgIIf4DLl68yN27d5k1axaWlpYAnDhxQqOPqakpjx494vHjx0rSN6dGcEHu3r1LXFwc3333HY0bNwbg0KFDGn20tbUByMrKUtoqVqxIpUqV+PPPP+nRo0eh78XV1ZUffvih0P1fFBkZSfv27Zk9ezb9+vV7Zf86depQqlQpIiIilLIYcXFxJCYm0qBBA42+586d4+OPP36tuIQQhZcwq11xhyCEEEIIIcR/miSEhRDiP8DKygptbW0WLVpE//79OXfuHFOnTtXo88EHH6Cnp8dXX33F4MGDOXr0KGFhYa+cu2zZspQrV47ly5djbm5OYmIio0eP1uhToUIFdHV12b17N5UrV6Z06dIYGxszefJkBg8ejLGxMd7e3qSnp3PixAnu37/P8OHD81zPy8uLMWPGcP/+fcqWLau0X7lyhdTUVG7evMmTJ0+UZLaTkxPa2trs37+f9u3bM2TIEDp37qzUANbW1lYOljt27Bh+fn5ERERgYWGBsbExffv2Zfjw4ZiYmGBkZMSgQYNo0KAB9evXV9ZOSEggKSlJ4/A5IYQQQgghhBDi30hqCAshxH+AqakpYWFh/PTTTzg5OTFr1izmzJmj0cfExIQffviBXbt24ezszPr165k0adIr5y5RogTh4eFER0dTs2ZNhg0bxjfffKPRp2TJkixcuJBly5ZRqVIlOnToAEBAQAArVqwgNDQUZ2dnmjZtSlhYGFWrVs13PWdnZ9zc3NiwYYNGe0BAAK6urixbtoxLly7h6uqKq6srN27cAGDVqlWkpaUxc+ZMzM3NlVfOgXYAaWlpxMXFaZTKmDdvHu3bt6dz5840adIEMzMzNm/erLH2+vXrad26NVWqVHnl8xJCCCGEEEIIId5nKvXLBSWFEEKIYrZz506++OILzp07R4kSxfu7y4yMDOzs7Fi3bh0eHh6FHvfw4UOMjY1JSUnByMjoLUYohBBCCCGEEEIU/udQKRkhhBDivdOuXTsuX75MUlKSUhO5uCQmJvLVV18VKRkshBBCCCGEEEK8r6RkhHhjPD09GTp0aHGH8Y9ERkaiUql48OBBcYdSoDfxrMPCwihTpswbiacg7+KZTpo0idq1axfY5338fPr7+9OxY8d3stbKlStp3br1exNPYQwdOrTYk8EAtra27N+/n+Dg4OIORQghhBBCCCGE+MckISzeW+9bcipHWFgYKpUKb29vjfYHDx6gUqmIjIwsnsCKqGvXrly6dEl5X5ik6r/Z5s2bcx2yVtwWLFhQqEPd/qmnT58yfvx4Jk6cWKRxv//+Oz4+PlSqVAmVSsXWrVtz9UlNTSUoKIjKlSujq6uLk5MTS5cufWU8/v7+ODs7U7JkyQK/z1etWkWjRo2A51/D1q1bU65cOVQqlXKo3MuOHDlC8+bN0dfXx8jIiCZNmvDkyZMCY4qMjMTNzQ0dHR1sbW1zfV3GjRvH9OnTSUlJKXAeIYQQQgghhBDifSclI4R4DSVLlmTfvn3s37+fZs2aFXc4r0VXVxddXd3iDuOdMTExKe4QcjE2Nn4n62zcuBEjI6Milzx4/PgxLi4u9OnTR+NgthcNHz6c3377jR9++AFra2t+/fVXBgwYQKVKlfjwww/zHJOVlYWuri6DBw9m06ZNBcawbds2ZZ7Hjx/TqFEjfH19CQwMzLP/kSNH8Pb2ZsyYMSxatIiSJUsSExNTYB3iv/76i3bt2tG/f3/Wrl1LREQEAQEBmJub4+XlBUDNmjWpVq0aP/zwAwMHDiwwZiGEeJ9Zj95Z3CG89xJmtSvuEIQQQggh3irZISzemjVr1lC3bl0MDQ0xMzOje/fu3L59W6PP+fPnad++PUZGRhgaGtK4cWPi4+OZNGkSq1atYtu2bahUKo2dt2fPnqV58+bo6upSrlw5+vXrR2pqqjJnZGQk9erVQ19fnzJlyuDh4cHVq1dJSEigRIkSnDhxQiOG+fPnU6VKFbKzswt9b/r6+vTp04fRo0cX6ZnklE/YuXMntWrVonTp0tSvX59z584pfe7evUu3bt2wsLBAT08PZ2dn1q9fX+C81tbWTJs2DT8/PwwMDKhSpQrbt2/nzp07dOjQAQMDA2rVqqVx7y+WjAgLC2Py5MnExMQozztnh2RiYqIyh5GREb6+vty6dQvgjT3TmJgYmjVrhqGhIUZGRtSpU0eZMyfOrVu3YmdnR+nSpfHy8uLatWu55lmzZg3W1tYYGxvzySef8OjRI+XayyUjrK2tmTFjBn369MHQ0BArKyuWL1+uMd/hw4epXbs2pUuXpm7dumzdujXXztQDBw5Qr149dHR0MDc3Z/To0Tx79ky5vnHjRpydnZXPa8uWLXn8+DGQexe8p6cngwcPZtSoUZiYmGBmZsakSZM0Ynrw4AEBAQGYmppiZGRE8+bNiYmJKfD5hoeH4+Pjo9GWlZXF8OHDKVOmDOXKlWPUqFG8fMZomzZtmDZtGp06dcp37sOHD9OrVy88PT2xtramX79+uLi4cOzYsXzH6OvrExISQmBgIGZmZvn2e/r0Kb/++quSEO7ZsycTJkygZcuW+Y4ZNmwYgwcPZvTo0dSoUQMHBwd8fX3R0dHJd8zSpUupWrUqwcHBODo6EhQUxMcff8y8efM0+vn4+BAeHp7vPEIIIYQQQgghxL+BJITFW5OZmcnUqVOJiYlh69atJCQk4O/vr1xPSkqiSZMm6Ojo8NtvvxEdHU2fPn149uwZI0eOxNfXF29vb5KTk0lOTqZhw4Y8fvwYLy8vypYty/Hjx/npp5/Yt28fQUFBADx79oyOHTvStGlTzpw5w5EjR+jXrx8qlQpra2tatmxJaGioRpyhoaH4+/sXuIMwL5MmTeLs2bNs3LixyM/miy++IDg4mOPHj2NqaoqPjw+ZmZnA8yRYnTp12LlzJ+fOnaNfv3707NmzwAQbwLx58/Dw8ODUqVO0a9eOnj174ufnx6effsrJkyepVq0afn5+uZJ+8Lx8xIgRI6hRo4byvLt27Up2djYdOnTg3r17HDhwgL179/Lnn3/StWtXgDf2THv06EHlypU5fvw40dHRjB49mlKlSinX09LSmD59OqtXryYqKooHDx7wySefaMwRHx/P1q1b2bFjBzt27ODAgQPMmjWrwHWDg4OpW7cup06dYsCAAXz++efExcUBz0/m9PHxwdnZmZMnTzJ16lS+/PJLjfFJSUm0bdsWd3d3YmJiCAkJYeXKlUybNg2A5ORkunXrRp8+fYiNjSUyMpKPPvooz69BjlWrVqGvr8/Ro0f5+uuvmTJlCnv37lWud+nShdu3b/PLL78QHR2Nm5sbLVq04N69e/nOeejQIerWrfv/2Lv3uJzv//HjjytJ6UjSASmHUqSDMjSEJqfmMAwNScycmVNzyrk5n8bmsMKyNufzqSYjx6KcEppk5LAhcurk94df769LB2Us9nneb7frdut6v1+H5/t1Zbv17NXzlevZQ0JC+PHHHzl06BB3795l06ZNBa5XXho0aMDWrVu5fv06z58/Z//+/Vy8eFGtXrGvry8eHh5FHjsiIoIKFSpQo0aNQrW/ffs2x44do3z58jRo0ABTU1MaN27MoUOH1Np5eHio/bfoyJEjuZLMXl5eHDlyRO1a3bp1OX78OM+ePSvyswghhBBCCCGEEO8LKRkh3hk/Pz/l6ypVqrBw4ULc3NxIS0tDT0+P7777DkNDQ8LCwpTkn42NjdJHR0eHZ8+eqe0gXLVqFU+fPmX16tXo6uoCsHjxYry9vfn2228pWbIkqamptGnThqpVqwJgZ2en9Pf396dfv37MnTuXUqVKcfLkSc6cOcOWLVuK/HwWFhYMGTKEsWPHFrnW8cSJE/nkk0+UZ6pYsSKbNm2ic+fOVKhQgREjRihtBw0axJ49e/j111+pW7duvmO2atWKL7/8EoAJEyawdOlS3Nzc6NSpEwCjR4+mfv363Lp1K9euTB0dHfT09NDU1FS7t2/fPs6cOcOVK1eUw71Wr15NzZo1OXHiBG5ubm9lTZOTkxk5cqSS+Ktevbra/YyMDBYvXsxHH32krJmdnR3Hjx9X1iQ7O5uQkBD09fWBF7tJIyIimDZtWoFr1r9/f2V95s2bx/79+7G1tWXt2rWoVCqWL1+OtrY29vb2XL9+Xa1UwZIlS6hUqRKLFy9GpVJRo0YNbty4wejRo5kwYQIpKSlkZmbSoUMHKleuDICDg0OBa1G7dm2l1m/16tVZvHgxERERfPLJJxw6dIjjx49z+/ZtZcfr7Nmz2bx5M+vXr6dv3765xrt//z6pqalYWFioXZ8/fz4BAQFKKYjvv/+ePXv2FBhbXhYtWkTfvn2pWLEimpqaaGhosHz5cho1aqS0MTc3L9IO/Bwvl4sojD/++AN48cua2bNn4+TkxOrVq2nWrBlnz55Vvq8sLS0xNzdX+t28eRNTU1O1sUxNTXnw4AFPnjxRSqtYWFiQnp7OzZs3lc/zZc+ePVNLFj948KDwDyuEEEIIIYQQQvxLZIeweGdiYmLw9vbG0tISfX19GjduDLxI/gHExsbSsGFDtZ2grxMfH4+jo6OSDAZwd3cnOzubhIQEypYti6+vL15eXnh7e7NgwQJSUlKUtu3ataNEiRLKTsiQkBCaNGmClZVVnvPp6ekpr379+uW6P3r0aO7cucOPP/6Y617Lli2VvjVr1lS7V79+feXrsmXLYmtrS3x8PPDiT/mnTJmCg4MDZcuWRU9Pjz179ijrlp/atWsrX+ckt15OPuZce7VsR0Hi4+OpVKmSkgwGsLe3x8jISIn3bazp8OHD8ff3x9PTk6CgIBITE9X6aGpq4ubmpryvUaOGWgzwYrdyTjIYXiQhX/esL6+ZSqXCzMxM6ZOQkKCU9cjxakI+Pj6e+vXro1KplGvu7u6kpaXx559/4ujoSLNmzXBwcKBTp04sX76ce/fuFTqmV58jLi6OtLQ0jI2N1dbxypUrudYsR85hai8/R2pqKikpKUqCHV6s8au7iAtj0aJFHD16lK1btxITE8OcOXMYMGAA4eHhSpsZM2awevXqIo37/Plztm3bVqSEcE7S+csvv6RXr144Ozszb948bG1t1f6Nrl69mhkzZhQpHkBJDD9+/DjP+zNmzMDQ0FB5vfzvRgghhBBCCCGEeF/IDmHxTuSUdvDy8iI0NBQTExOSk5Px8vIiPT0d4J0daBYcHMzgwYPZvXs3v/zyC+PGjWPfvn3Uq1cPLS0tevToQXBwMB06dGDt2rUsWLAg37FerhVrYGCQ676RkREBAQFMmjSJNm3aqN1bsWKFkowrStJ71qxZLFiwgPnz5+Pg4ICuri5Dhw5V1i0/L8+Rk6DM69qb7NQsyNtY08DAQLp168aOHTvYtWsXEydOJCwsrMData96dY1VKtVrn/VN+hRFiRIl2LdvH4cPH2bv3r0sWrSIsWPHcuzYMaytrYscU1paGubm5ko97Zfl1IN+lbGxMSqV6rWJ6Dfx5MkTvvnmGzZt2kTr1i8O4KlduzaxsbHMnj27wFq/r3P8+HEyMzNp0KBBofvk7Pq1t7dXu25nZ1fgL1TMzMyUutg5bt26hYGBgdp/p3LKcpiYmOQ5TkBAAMOHD1feP3jwQJLCQgghhBBCCCHeO7JDWLwTFy5c4O+//yYoKIiGDRtSo0aNXLs1a9euzcGDB5Xaua/S0tIiKytL7ZqdnR1xcXHKoVwAUVFRaGhoYGtrq1xzdnYmICCAw4cPU6tWLdauXavc8/f3Jzw8nCVLlih/zp+fatWqKa/y5cvn2WbQoEFoaGjkSoJWqFBB6fvqn5cfPXpU+frevXtcvHhRKW0RFRVF27Zt+eKLL3B0dKRKlSpcvHgx3xjflvzW+9q1a2oHuJ0/f5779++rJd3expra2NgwbNgw9u7dS4cOHdTqEmdmZqodXJeQkMD9+/fVyoG8bba2tpw5c0atBMCJEyfU2tjZ2XHkyBG1msBRUVHo6+tTsWJF4EVC193dnUmTJnHq1Cm0tLTeqFYvgIuLCzdv3kRTU1NtHatVq0a5cuXy7KOlpYW9vT3nz59XrhkaGmJubs6xY8eUa5mZmcTExBQpnoyMDDIyMnLVii5RosQ/Tqxv2bKF1q1bU6JEiUL3sbKywsLCQqkDnePixYt5lnjIUb9+fSIiItSu7du3T20nP8DZs2epWLFivmtdqlQpDAwM1F5CCCGEEEIIIcT7RnYIi3fC0tISLS0tFi1aRL9+/Th79ixTpkxRazNw4EAWLVpEly5dCAgIwNDQkKNHj1K3bl1sbW2xsrJiz549JCQkYGxsjKGhIT4+PkycOJGePXsSGBjInTt3GDRoEN27d8fU1JQrV66wbNkyPv30UyUxdOnSJXr06KHMa2dnR7169Rg9ejR+fn7/eKeytrY2kyZNYsCAAYXuM3nyZIyNjTE1NWXs2LGUK1dOqUNcvXp11q9fz+HDhylTpgxz587l1q1buXY9vm1WVlZcuXKF2NhYKlasiL6+Pp6enjg4OODj48P8+fPJzMykf//+NG7cWK28wD9Z0ydPnjBy5Eg6duyItbU1f/75JydOnOCzzz5T2pQsWZJBgwaxcOFCNDU1GThwIPXq1SuwpvI/1a1bN8aOHUvfvn0ZM2YMycnJzJ49G/i/3db9+/dn/vz5DBo0iIEDB5KQkMDEiRMZPnw4GhoaHDt2jIiICJo3b0758uU5duwYd+7ceeNEtqenJ/Xr16ddu3bMnDkTGxsbbty4wY4dO2jfvn2+JR+8vLw4dOgQQ4cOVa4NGTKEoKAgqlevTo0aNZg7dy73799X65eWlsbly5eV9znfH2XLlsXS0hIDAwMaN27MyJEj0dHRoXLlyhw4cIDVq1czd+5cpV9AQADXr19XKxtx/vx50tPTuXv3Lg8fPlR2jjs5OQGwdetWJk+erBbP3bt3SU5O5saNGwBK4tfMzAwzMzNUKhUjR45k4sSJODo64uTkxKpVq7hw4YLa4Y89evSgQoUKStmIfv36sXjxYkaNGoWfnx+//fYbv/76Kzt27FCb/+DBg2qH5QkhxIcoKah1cYcghBBCCCGKmewQFu+EiYkJISEhrFu3Dnt7e4KCgpRkWg5jY2N+++030tLSaNy4MXXq1GH58uXKn8z36dMHW1tbXF1dMTExISoqitKlS7Nnzx7u3r2Lm5sbHTt2pFmzZixevBiA0qVLc+HCBT777DNsbGzo27cvAwYMUA5by9G7d2/S09PVDr77J3r27EmVKlUK3T4oKIghQ4ZQp04dbt68ybZt29DS0gJg3LhxuLi44OXlhYeHB2ZmZkU+tO5NfPbZZ7Ro0YImTZpgYmLCzz//jEqlYsuWLZQpU4ZGjRrh6elJlSpV+OWXX3L1f9M1LVGiBH///Tc9evTAxsaGzp0707JlSyZNmqS0KV26NKNHj6Zbt264u7ujp6eXZwxvk4GBAdu2bSM2NhYnJyfGjh3LhAkTgP+rx1uhQgV27tzJ8ePHcXR0pF+/fvTu3Ztx48YpY/z++++0atUKGxsbxo0bx5w5c2jZsuUbxaRSqdi5cyeNGjWiV69e2NjY0KVLF65evZrrULSX9e7dm507d5Kamqpc+/rrr+nevTs9e/akfv366Ovr5yrRER0djbOzM87OzsCLWs/Ozs7KOgCEhYXh5uaGj4+P8m992rRpajW3U1JScpVsaNWqFc7Ozmzbto3IyEi1eRITE7l8+TJeXl5qfbZu3Yqzs7NSnqJLly44Ozvz/fffK22GDh1KQEAAw4YNw9HRkYiICPbt26ccMgkv6pi/XFvc2tqaHTt2sG/fPhwdHZkzZw4rVqxQm//p06ds3rxZ7VBBIYQQQgghhBDiQ6R6/vLfOgvxP2LKlCmsW7eO06dP/6vzRkZG0qRJE+7du5dvzdcP1bta05CQEIYOHZpr92pxCA0NpVevXqSmpr6zGtjvSqdOnXBxcSEgIKC4Q3mtuXPnEh4ezs6dO4s7FMXSpUvZtGkTe/fuLXSfBw8eYGhoSGpqqpSPEEIIIYQQQgjxzhX251DZISz+p6SlpXH27FkWL17MoEGDijuc/4T/8pquXr2aQ4cOceXKFTZv3szo0aPp3LnzB5cMhheHFerp6RV3GIVSsWLF9y5xXbJkSRYtWlTcYQghhBBCCCGEEP+Y1BAW/1MGDhzIzz//TLt27d5auYj/df/lNb158yYTJkzg5s2bmJub06lTJ6ZNm1bcYb0RKyurDyZh37lz5+IOIRd/f//iDkEIIYQQQgghhHgrpGSEyJeHhwdOTk7Mnz+/uEN5Y//lEg3vE5VKxaZNm95ZrePCfI6BgYFs3rxZOZzsffBvlrtISEigcePGXLp0CX19/WKP50MzZswYHj169FZ3AUvJCCGEEEIIIYQQ/yYpGSHeO76+vv/K4WhFFRISgkqlokWLFmrX79+/j0qlIjIysngCE0UyYsQIIiIiijsMNZ9//jkXL178V+YKCAhg0KBB+SaD85KSkkK3bt2wsbFBQ0ODoUOH5tlu/vz52NraoqOjQ6VKlRg2bBhPnz4tcOxp06bRoEEDSpcuXeAvY65evYqOjg5paWksX76chg0bUqZMGcqUKYOnpyfHjx/Pt2+/fv1QqVSv/aVVYZ5zxIgRrFq1ij/++CPXvZCQEEJCQgqcQwghhBBCCCGE+FBIyQghAE1NTcLDw9m/fz9NmjQp7nDIyMigZMmSxR3GB0VPT++9q5Gro6Pzr9QbTk5OZvv27UXe3frs2TNMTEwYN24c8+bNy7PN2rVrGTNmDD/++CMNGjTg4sWL+Pr6olKpmDt3br5jp6en06lTJ+rXr8/KlSvzbbdlyxaaNGmCnp4ekZGRdO3alQYNGqCtrc23335L8+bNOXfuHBUqVFDrt2nTJo4ePYqFhcVbec5y5crh5eXF0qVLmTVrFgDz5s1TKxXx8OFDVqxYwbBhw147pxBCvK+sxuwo7hD+pyQFtS7uEIQQQgghcpEdwqLQ1qxZg6urK/r6+piZmdGtWzdu376t1ubcuXO0adMGAwMD9PX1adiwIYmJiQQGBrJq1Sq2bNmCSqVS23l75swZmjZtio6ODsbGxvTt25e0tDRlzMjISOrWrYuuri5GRka4u7tz9epVkpKS0NDQIDo6Wi2G+fPnU7lyZbKzswv9bLq6uvj5+TFmzJgirUlkZCQqlYqIiAhcXV0pXbo0DRo0ICEhQa3dli1bcHFxQVtbmypVqjBp0iQyMzOV+yqViqVLl/Lpp5+iq6vLlClTqFixIkuXLlUb59SpU2hoaHD16lXgRSKwbdu26OnpYWBgQOfOnbl165bSPjAwECcnJ9asWYOVlRWGhoZ06dKFhw8fKm2ePXvG4MGDKV++PNra2nz88cecOHECgOfPn1OtWjVmz56tFkdsbCwqlYrLly8Xap3u3buHj48PJiYm6OjoUL16dYKDgwFISkpCpVIRFhamJAJr1arFgQMHco0TExOT7zrnPGuOnB3ps2fPxtzcHGNjYwYMGEBGRobSJiUlhdatW6Ojo4O1tTVr167FyspKbcfp69Y4Li6OJk2aoK+vj4GBAXXq1FG+J0NCQtR2xxbm88jOzmbGjBlYW1ujo6ODo6Mj69evL3B9f/31VxwdHXMlTUNCQrC0tKR06dK0b9+ev//+W+2+lZUVCxYsoEePHhgaGuY59uHDh3F3d6dbt25YWVnRvHlzunbtWuDOXYBJkyYxbNgwHBwcCmy3ZcsWPv30UwBCQ0Pp378/Tk5O1KhRgxUrVpCdnZ1r5/f169cZNGgQoaGhhfrFSWGeE8Db25uwsDDlfZkyZfjkk084dOgQhw4d4pNPPqFMmTKvnU8IIYQQQgghhHifSUJYFFpGRgZTpkwhLi6OzZs3k5SUhK+vr3L/+vXrNGrUiFKlSvHbb78RExODn58fmZmZjBgxgs6dO9OiRQtSUlJISUmhQYMGPHr0CC8vL8qUKcOJEydYt24d4eHhDBw4EIDMzEzatWtH48aNOX36NEeOHKFv376oVCqsrKzw9PRUEos5goOD8fX1RUOjaN/egYGBnDlz5rXJt7yMHTuWOXPmEB0djaamptrhagcPHqRHjx4MGTKE8+fP88MPPxASEpLrcLLAwEDat2/PmTNn8Pf3p2vXrqxdu1atTWhoKO7u7krCu23btty9e5cDBw6wb98+/vjjDz7//HO1PomJiWzevJnt27ezfft2Dhw4QFBQkHJ/1KhRbNiwgVWrVnHy5EmqVauGl5cXd+/eRaVS4efnl+caN2rUiGrVqhVqfcaPH8/58+fZtWsX8fHxLF26lHLlyqm1GTlyJF9//TWnTp2ifv36eHt750pgFrTOedm/fz+JiYns37+fVatW5frT/x49enDjxg0iIyPZsGEDy5YtU/slR2HW2MfHh4oVK3LixAliYmIYM2ZMgUnK130eM2bMYPXq1Xz//fecO3eOYcOG8cUXX+SZIM9x8OBBXF1d1a4dO3aM3r17M3DgQGJjY2nSpAlTp04tcL3y0qBBA2JiYpQE8B9//MHOnTtp1aqV0ian7EpR3b9/n0OHDikJ4Vc9fvyYjIwMypYtq1zLzs6me/fujBw5kpo1a+bZz8PDQ+2/TYVVt25d/vzzT5KSkoAXv1T49ddflc/q119/LXDcZ8+e8eDBA7WXEEIIIYQQQgjxvpGSEaLQXk6+ValShYULF+Lm5kZaWhp6enp89913GBoaEhYWpiTEbGxslD46Ojo8e/YMMzMz5dqqVat4+vQpq1evRldXF4DFixfj7e3Nt99+S8mSJUlNTaVNmzZUrVoVADs7O6W/v78//fr1Y+7cuZQqVYqTJ09y5swZtmzZUuTns7CwYMiQIYwdO7bItY6nTZtG48aNgReHU7Vu3ZqnT5+ira3NpEmTGDNmDD179lTWbsqUKYwaNYqJEycqY3Tr1o1evXop7318fJgzZw7JyclYWlqSnZ1NWFgY48aNAyAiIoIzZ85w5coVKlWqBMDq1aupWbMmJ06cwM3NDXiRQAsJCVFqy3bv3p2IiAimTZvGo0ePWLp0KSEhIbRs2RKA5cuXs2/fPlauXMnIkSPx9fVlwoQJHD9+nLp165KRkcHatWtz7RouSHJyMs7OzkrS0srKKlebgQMH8tlnnwGwdOlSdu/ezcqVKxk1alSh1jkvZcqUYfHixZQoUYIaNWrQunVrIiIi6NOnDxcuXCA8PJwTJ04oca1YsYLq1asr/QuzxsnJyYwcOZIaNWoAqPXPS0Gfx7Nnz5g+fTrh4eHUr18fePH9cujQIX744Qfl2V919erVXAnhBQsW0KJFC2X9bGxsOHz4MLt37y4wvld169aNv/76i48//pjnz5+TmZlJv379+Oabb5Q2hoaG2NraFmlcgJ07d1K7du18yz6MHj0aCwsLPD09lWvffvstmpqaDB48ON9xLS0tMTc3L3I8OXFcvXoVKysrfvrpJxYvXkzr1i/+3Ldz584MHDiQL774Is/+M2bMYNKkSUWeVwghhBBCCCGE+DfJDmFRaDExMXh7e2NpaYm+vr6SnEpOTgZelBFo2LBhkWrfxsfH4+joqCSDAdzd3cnOziYhIYGyZcvi6+uLl5cX3t7eLFiwgJSUFKVtu3btKFGiBJs2bQJe7FRs0qRJnglH+L86s3p6evTr1y/X/dGjR3Pnzh1+/PHHXPdatmyp9H11Z2Lt2rWVr3MSUTk7TePi4pg8ebLa3H369CElJYXHjx8r/V5N6Dk5OWFnZ6fsEj5w4AC3b9+mU6dOytpVqlRJSVQC2NvbY2RkRHx8vHLNyspK7aAxc3NzJbbExEQyMjJwd3dX7pcsWZK6desqY1hYWNC6dWtlTbZt28azZ8+UOAqzTl999RVhYWE4OTkxatQoDh8+nKtfTgIUXtR0dnV1VXsOKHid81KzZk1KlCiR57MnJCSgqamJi4uLcr9atWpqJQEKs8bDhw/H398fT09PgoKCSExMzDceKPjzuHz5Mo8fP+aTTz5R+35ZvXp1geM+efIkV1I8Pj6ejz76SO3ay2tcWJGRkUyfPp0lS5Zw8uRJNm7cyI4dO5gyZYrSpn379ly4cKHIY79cLuJVQUFBhIWFsWnTJuXZYmJiWLBgwWt3JK9evZoZM2YUOZ6ces85/y5v377Nvn37aNiwIQ0bNmTfvn0Ffr8FBASQmpqqvK5du1bkGIQQQgghhBBCiHdNEsKiUHJKOxgYGBAaGsqJEyeUJGx6ejrAOzs8Kzg4mCNHjtCgQQN++eUXbGxsOHr0KABaWlr06NGD4OBg0tPTWbt2bYFlBGJjY5XX5MmTc903MjIiICCASZMmqSVr4cXu0Zy+O3fuVLv3chI8J1GVU8M4LS2NSZMmqc195swZLl26pJbEezkpnsPHx0dJCK9du5YWLVpgbGxc4Hq96tUEvUqlKlJ9ZXixEzssLIwnT54QHBzM559/TunSpfNsm9c6tWzZkqtXrzJs2DBu3LhBs2bNGDFiRJFiePVZXl3n17XP6VPUZ3+dwMBAzp07R+vWrfntt9+wt7dX/m0UNaac2tk7duxQ+345f/58gaVMypUrx717997C0+Q2fvx4unfvjr+/Pw4ODrRv357p06czY8aMf7SW6enp7N69O8+E8OzZswkKCmLv3r1qvwQ4ePAgt2/fxtLSEk1NTTQ1Nbl69Spff/11vr8EKoq7d+8CYGJiArxI9r+cvNfX12f48OH59i9VqhQGBgZqLyGEEEIIIYQQ4n0jCWFRKBcuXODvv/8mKCiIhg0bUqNGjVw75WrXrs3BgwfVDu16mZaWFllZWWrX7OzsiIuL49GjR8q1qKgoNDQ01P4E3dnZmYCAAA4fPkytWrXUauv6+/sTHh7OkiVLyMzMpEOHDvk+R7Vq1ZRX+fLl82wzaNAgNDQ0WLBggdr1ChUqKH0rV66c7xyvcnFxISEhQW3unNfr6hx369aNs2fPEhMTw/r16/Hx8VHu2dnZce3aNbVdiOfPn+f+/fvY29sXKraqVauipaVFVFSUci0jI4MTJ06ojdGqVSt0dXWVUg4FJd3zWycTExN69uzJTz/9xPz581m2bJlav5wkP7yoHR0TE6NWHuRts7W1JTMzk1OnTinXLl++rJZYLewa29jYMGzYMPbu3UuHDh1y1VwuLHt7e0qVKkVycnKu75WXdym/ytnZmfPnz6tds7Oz49ixY2rXXl7jwnr8+HGu79OcXdfPnz8v8ng5IiMjKVOmDI6OjmrXZ86cyZQpU9i9e3euXfPdu3fn9OnTaslyCwsLRo4cyZ49e944lhxnz56lZMmSuf4CwNfX941qEgshhBBCCCGEEO8jqSEsCsXS0hItLS0WLVpEv379OHv2rNqfjMOLGrCLFi2iS5cuBAQEYGhoyNGjR6lbty62trZYWVmxZ88eEhISMDY2xtDQEB8fHyZOnEjPnj0JDAzkzp07DBo0iO7du2NqasqVK1dYtmwZn376KRYWFiQkJHDp0iV69OihzGtnZ0e9evUYPXo0fn5+/3inck7d3wEDBvyjcXJMmDCBNm3aYGlpSceOHdHQ0CAuLo6zZ8++9pAvKysrGjRoQO/evcnKylLbTenp6YmDgwM+Pj7Mnz+fzMxM+vfvT+PGjXMl0vKjq6vLV199xciRIylbtiyWlpbMnDmTx48f07t3b6VdiRIl8PX1JSAggOrVqxe59MCECROoU6cONWvW5NmzZ2zfvj1Xsve7776jevXq2NnZMW/ePO7du/faQ+P+iRo1auDp6Unfvn1ZunQpJUuW5Ouvv0ZHR0fZffy6NX7y5AkjR46kY8eOWFtb8+eff3LixAmlFnJR6evrM2LECIYNG0Z2djYff/wxqampREVFYWBgoNShfpWXlxf+/v5kZWUpydrBgwfj7u7O7Nmzadu2LXv27MmzfnBsbCzwYnfynTt3iI2NRUtLS0l4e3t7M3fuXJydnfnoo4+4fPky48ePx9vbW5lr06ZNBAQEqJWNSE5O5u7duyQnJ5OVlaXMU61aNfT09Ni6dWuu3cHffvstEyZMYO3atVhZWXHz5k3g/0q9GBsb59ohX7JkSczMzNR+gdSjRw8qVKigVjbidc8JL3YgN2zY8J39tYMQQrwPkoJaF3cIQgghhBCimMkOYVEoJiYmhISEsG7dOuzt7QkKCsp1qJixsTG//fYbaWlpNG7cmDp16rB8+XLlT+T79OmDra0trq6umJiYEBUVRenSpdmzZw93797Fzc2Njh070qxZMxYvXgxA6dKluXDhAp999hk2Njb07duXAQMG8OWXX6rN3bt3b9LT099aArFnz55UqVLlrYzl5eXF9u3b2bt3L25ubtSrV4958+YVepexj48PcXFxtG/fXi1RpVKp2LJlC2XKlKFRo0Z4enpSpUoVfvnllyLFFxQUxGeffUb37t1xcXHh8uXL7NmzR62WLvzfGr988F1haWlpERAQQO3atWnUqBElSpQgLCwsVxxBQUE4Ojpy6NAhtm7dSrly5Yo8V1GsXr0aU1NTGjVqRPv27enTpw/6+vpKKY/XrXGJEiX4+++/6dGjBzY2NnTu3JmWLVv+o4PFpkyZwvjx45kxYwZ2dna0aNGCHTt2YG1tnW+fli1boqmpSXh4uHKtXr16LF++nAULFuDo6MjevXuVAwlf5uzsjLOzMzExMaxduxZnZ2datWql3B83bhxff/0148aNw97ent69e+Pl5cUPP/ygtElNTSUhIUFt3AkTJuDs7MzEiRNJS0tT5omOjgbIMyG8dOlS0tPT6dixI+bm5sqrKAcYwotk9Mu1xgvznABhYWH06dOnSHMJIYQQQgghhBAfGtXzf/I3v0K8J6ZMmcK6des4ffp0cYfyn3Xw4EGaNWvGtWvXMDU1fWvjJiUlYW1tzalTp3Bycnpr476JP//8k0qVKhEeHk6zZs2KNZai+u6779i6detbKZ3wrp08eZKmTZty586dIh1C+S7t2rWLr7/+mtOnT6Op+Xb+eObBgwcYGhqSmpoq9YSFEEIIIYQQQrxzhf05VEpGiA9aWloaSUlJLF68+LXlF8SbefbsGXfu3CEwMJBOnTq91WRwccvZ0e7g4EBKSgqjRo3CysqKRo0aFXdoRfbll19y//59Hj58qHYQ2vsoMzOTRYsWvTfJYHhxcGZwcPBbSwYLIYQQQgghhBDvKykZIT5oAwcOpE6dOnh4eLzTerP/y37++WcqV67M/fv3mTlzZnGH81ZlZGTwzTffULNmTdq3b4+JiQmRkZHvVaKysDQ1NRk7dux7nwwGqFu3Lt27dy/uMNR07NiRjz76qLjDEEIIIYQQQggh3jlJCIsi8/DwYOjQocUdBgAhISE8e/aMX375RTngqjAiIyNRqVTcv3//ncT1tsa3srJi/vz5byWmN+Xr60tWVhYxMTFUqFAhzzZJSUmoVCrl4K6isLKy4vnz568tFxESEoKRkdFrY23Xrl2h5/by8uLs2bM8fvyYW7dusWnTpkLXdi6swMDAf60URkREBHZ2dmRlZb0X8Xxo6tWrx4YNG4o7DCGEEEIIIYQQ4p2ShLAodkVN4v1bQkJCUKlUtGjRQu36/fv3UalUREZGFk9gIl8LFiwgJCSkuMNQM2LECCIiIv6VuUaNGsW4ceOK9MuRc+fO8dlnn2FlZYVKpcrzFxBZWVmMHz8ea2trdHR0qFq1KlOmTOF1JegHDx5MnTp1KFWqVIFJ6AMHDlCpUiUAZsyYgZubG/r6+pQvX5527dqpHVh39+5dBg0ahK2tLTo6OlhaWjJ48GBSU1Nf+6zr1q2jRo0aaGtr4+DgwM6dO9Xujxs3jjFjxpCdnZ2rr6+vL0lJSa+dQwghhBBCCCGEeN9JsUQhCqCpqUl4eDj79++nSZMmxR2OeA1DQ8PiDiEXPT099PT03vk8hw4dIjExkc8++6xI/R4/fkyVKlXo1KkTw4YNy7PNt99+y9KlS1m1ahU1a9YkOjqaXr16YWhoyODBgwsc38/Pj2PHjhV44OOWLVvw9vYGXiSHBwwYgJubG5mZmXzzzTc0b96c8+fPo6ury40bN7hx4wazZ8/G3t6eq1ev0q9fP27cuMH69evznePw4cN07dqVGTNm0KZNG9auXUu7du04efIktWrVAqBly5b4+/uza9cuWrduzd27d/n555/p37+/Mk5iYiJHjx7Fx8enwOcWQvxvshqzo7hDeK2koNbFHYIQQgghhChmskNY/GNr1qzB1dUVfX19zMzM6NatG7dv31Zrc+7cOdq0aYOBgQH6+vo0bNiQxMREAgMDWbVqFVu2bEGlUqntvD1z5gxNmzZFR0cHY2Nj+vbtS1pamjJmZGQkdevWRVdXFyMjI9zd3bl69SpJSUloaGgQHR2tFsP8+fOpXLlynrv/8qOrq4ufnx9jxox5o7WJioqidu3aaGtrU69ePc6ePat2/9ChQzRs2BAdHR0qVarE4MGDefTokVqbx48f4+fnh76+PpaWlixbtkzt/rVr1+jcuTNGRkaULVuWtm3bqu1kzNmBPXv2bMzNzTE2NmbAgAFkZGQobe7du0ePHj0oU6YMpUuXpmXLlly6dAl4cdiWgYFBrmTb5s2b0dXV5eHDh4Vai6tXr+Lt7U2ZMmXQ1dWlZs2ayg7NnBIbO3bsKHC9APbs2YOdnR16enq0aNGClJSUXM+aw8PDg8GDBzNq1CjKli2LmZkZgYGBauNduHCBjz/+GG1tbezt7QkPD0elUrF582alzZt+L0LuEg2F+TyePXvGiBEjqFChArq6unz00Uev3ZEeFhbGJ598gra2ttr1oKAgTE1N0dfXp3fv3jx9+lTtvpubG7NmzaJLly6UKlUqz7EPHz5M27Ztad26NVZWVnTs2JHmzZtz/PjxAmNauHAhAwYMoEqVKgW227p1K59++ikAu3fvxtfXl5o1a+Lo6EhISAjJycnExMQAUKtWLTZs2IC3tzdVq1aladOmTJs2jW3btpGZmZnvHAsWLKBFixaMHDkSOzs7pkyZgouLC4sXL1balChRglatWhEWFgaAtrY2169fp0WLFvz55598//33+Pr6Ym1tXeDzCCGEEEIIIYQQ7zNJCIt/LCMjgylTphAXF8fmzZtJSkrC19dXuX/9+nUaNWpEqVKl+O2334iJicHPz4/MzExGjBhB586dlcReSkoKDRo04NGjR3h5eVGmTBlOnDjBunXrCA8PZ+DAgQBkZmbSrl07GjduzOnTpzly5Ah9+/ZFpVJhZWWFp6cnwcHBanEGBwfj6+uLhkbRvu0DAwM5c+ZMgbsP8zNy5EjmzJnDiRMnMDExwdvbW0n8JSYm0qJFCz777DNOnz7NL7/8wqFDh5RnzDFnzhxcXV05deoU/fv356uvvlL+hD4jIwMvLy/09fU5ePAgUVFRSqI0PT1dGWP//v0kJiayf/9+Vq1aRUhIiFppBV9fX6Kjo9m6dStHjhzh+fPntGrVioyMDHR1denSpUue69mxY8dCH2I2YMAAnj17xu+//86ZM2f49ttvc+2cLWi94EVyfPbs2axZs4bff/+d5ORkRowYUeC8q1atQldXl2PHjjFz5kwmT57Mvn37gBelENq1a0fp0qU5duwYy5YtY+zYsWr9/8n3Yn5e93kMHDiQI0eOEBYWxunTp+nUqRMtWrRQkvR5OXjwIK6urmrXfv31VwIDA5k+fTrR0dGYm5uzZMmSAtcrLw0aNCAiIoKLFy8CEBcXx6FDh2jZsqXSJjAwECsrqyKPfe7cOW7fvk3TprgDNFUAAQAASURBVE3zvJ9TCqJs2bL5jpGamoqBgQGamv/3Ry9WVlZqyf8jR47g6emp1s/Ly4sjR46oXatbty4HDx4EoHTp0kyfPp0hQ4YQGRnJ0aNH+e2332jQoEGecTx79owHDx6ovYQQQgghhBBCiPeNlIwQ/5ifn5/ydZUqVVi4cCFubm6kpaWhp6fHd999h6GhIWFhYZQsWRIAGxsbpY+Ojg7Pnj3DzMxMubZq1SqePn3K6tWr0dXVBWDx4sV4e3vz7bffUrJkSVJTU2nTpg1Vq1YFwM7OTunv7+9Pv379mDt3LqVKleLkyZOcOXOGLVu2FPn5LCwsGDJkCGPHji1yreOJEyfyySefKM9UsWJFNm3aROfOnZkxYwY+Pj7KAX3Vq1dn4cKFNG7cmKVLlyo7PVu1aqX8yfro0aOZN28e+/fvx9bWll9++YXs7GxWrFihJCCDg4MxMjIiMjKS5s2bA1CmTBkWL15MiRIlqFGjBq1btyYiIoI+ffpw6dIltm7dSlRUlJLoCg0NpVKlSmzevJlOnTrh7+9PgwYNSElJwdzcnNu3b7Nz507Cw8MLvRbJycl89tlnODg4AOS5a7Sg9YIXCfDvv/9e+cwHDhzI5MmTC5y3du3aTJw4UVnjxYsXExERwSeffMK+fftITEwkMjJS+f6bNm2aEgPA2rVr/9H3Yl4K+jySk5MJDg4mOTkZCwsL4EUd4t27dxMcHMz06dPzHPPq1atK+xzz58+nd+/e9O7dG4CpU6cSHh6ea5fw64wZM4YHDx5Qo0YNSpQoQVZWFtOmTVMrm1CuXDnl+Ytiy5YteHl5oaWlletednY2Q4cOxd3dXSnr8Kq//vqLKVOm0LdvX7XrVatWpVy5csr7mzdvYmpqqtbG1NSUmzdvql2zsLDg2rVrZGdnk56ezvTp0zl27BgeHh64urri6enJrFmzqFu3bq5YZsyYwaRJkwr97EIIIYQQQgghRHGQHcLiH4uJicHb2xtLS0v09fVp3Lgx8CIBCBAbG0vDhg2VZHBhxMfH4+joqCTgANzd3cnOziYhIYGyZcvi6+uLl5cX3t7eLFiwQK10QLt27ShRogSbNm0CXhwQ16RJk3x3MObUedXT06Nfv3657o8ePZo7d+7w448/5rrXsmVLpW/NmjXV7tWvX1/5umzZstja2hIfHw+82GUZEhKiNreXlxfZ2dlcuXJF6Ve7dm3la5VKhZmZmVKSIy4ujsuXL6Ovr6+MUbZsWZ4+fUpiYqLSr2bNmmoHjeUkdXPWWlNTk48++ki5b2xsrBZr3bp1qVmzJqtWrQLgp59+onLlyjRq1CjP9axZs6YST84u0sGDBzN16lTc3d2ZOHFinjVlC1oveLFj8+Wk48vPkZ+X1+/VPgkJCVSqVEntlxGvJvr+6fdiXgr6PM6cOUNWVhY2NjZq3xsHDhxQ+0xf9eTJk1zlIuLj49U+V1Bf48L69ddfCQ0NZe3atZw8eZJVq1Yxe/Zs5fsBXiTn3+TwvC1btijlIl41YMAAzp49q5RweNWDBw9o3bo19vb2uUqBRERE5NptXxg6OjpkZ2fz7NkzHj9+jKmpKbt376ZixYr069ePH3/8Udkp/aqAgABSU1OV17Vr14o8vxBCCCGEEEII8a7JDmHxj+T8Ob2XlxehoaGYmJiQnJyMl5eXUrJAR0fnncwdHBzM4MGD2b17N7/88gvjxo1j37591KtXDy0tLXr06EFwcDAdOnRg7dq1LFiwIN+xYmNjla8NDAxy3TcyMiIgIIBJkybRpk0btXsrVqzgyZMnAEVKeqelpfHll1/meSiXpaWl8vWrY6pUKqUOclpaGnXq1CE0NDTXGCYmJoUao7D8/f357rvvGDNmDMHBwfTq1Svfsgg7d+5USj3kfP7+/v54eXmxY8cO9u7dy4wZM5gzZw6DBg0qdAx5Pcfz58+L3Keoz/46BX0vFjWmtLQ0SpQoQUxMjFrSGCjwcLpy5cpx7969f/gkeRs5ciRjxoyhS5cuADg4OHD16lVmzJhBz54933jclJQUTp06RevWuQ84GjhwINu3b+f333+nYsWKue4/fPiQFi1aoK+vz6ZNm177b8/MzIxbt26pXbt165baLwMA7t69i66uLjo6Oujo6DBgwAC1+1WrVs13J3SpUqXyrcMshBBCCCGEEEK8L2SHsPhHLly4wN9//01QUBANGzakRo0auXZs1q5dm4MHD6rVgn2ZlpYWWVlZatfs7OyIi4tTO2AtKioKDQ0NbG1tlWvOzs4EBARw+PBhatWqxdq1a5V7/v7+hIeHs2TJEjIzM+nQoUO+z1GtWjXlVb58+TzbDBo0CA0NjVyJ5QoVKih9K1eurHbv6NGjytf37t3j4sWLSjkBFxcXzp8/rzZ3ziuvP5/Pi4uLC5cuXaJ8+fK5xjA0NCzUGHZ2dmRmZnLs2DHl2t9//01CQgL29vbKtS+++IKrV6+ycOFCzp8/X2AisHLlykocFSpUUK5XqlSJfv36sXHjRr7++muWL1+u1q+g9XoXbG1tuXbtmlqi8MSJE2pt3sb3YlE4OzuTlZXF7du3c32mryYvX+13/vz5XLG//LmC+hoX1uPHj3PV3i5RosQ/Tqxv27aNBg0aqNUHfv78OQMHDmTTpk389ttveR7g9uDBA5o3b46WlhZbt27NtTM6L/Xr18+1g3nfvn25dkyfPXsWZ2fnXP1DQkLeqEayEEIIIYQQQgjxvpEdwuIfsbS0REtLi0WLFtGvXz/Onj3LlClT1NoMHDiQRYsW0aVLFwICAjA0NOTo0aPUrVsXW1tbrKys2LNnDwkJCRgbG2NoaIiPjw8TJ06kZ8+eBAYGcufOHQYNGkT37t0xNTXlypUrLFu2jE8//RQLCwsSEhK4dOkSPXr0UOa1s7OjXr16jB49Gj8/v3+8U1lbW5tJkybl2jFYkMmTJ2NsbIypqSljx46lXLlySh3i0aNHU69ePQYOHIi/vz+6urqcP3+effv2sXjx4kKN7+Pjw6xZs2jbti2TJ0+mYsWKXL16lY0bNzJq1Kg8d1a+qnr16rRt25Y+ffrwww8/oK+vz5gxY6hQoQJt27ZV2pUpU4YOHTowcuRImjdvXqixXzZ06FBatmyJjY0N9+7dY//+/bmSvQWt17vwySefULVqVXr27MnMmTN5+PAh48aNA1B2P7+N78WisLGxwcfHhx49ejBnzhycnZ25c+cOERER1K5dO8/dtPDigLSXSzgADBkyBF9fX1xdXXF3dyc0NJRz586p1W9OT09XEsnp6elcv36d2NhY9PT0qFatGgDe3t5MmzYNS0tLatasyalTp5g7d65a/fDFixezadMmtaTr5cuXSUtL4+bNmzx58kTZiW9vb68kc18tFzFgwADWrl3Lli1b0NfXV2r8GhoaoqOjoySDHz9+zE8//aR2eJuJiYmyq7pZs2a0b99eKRsxZMgQGjduzJw5c2jdujVhYWFER0ezbNkytfkPHjyo1N4WQoiiSgrK+7/RQgghhBBCvE9kh7D4R0xMTAgJCWHdunXY29sTFBTE7Nmz1doYGxvz22+/kZaWRuPGjalTpw7Lly9X/sS7T58+2Nra4urqiomJCVFRUZQuXZo9e/Zw9+5d3Nzc6NixI82aNVMSpaVLl+bChQt89tln2NjY0LdvXwYMGMCXX36pNnfv3r1JT09XS1z9Ez179szzMLT8BAUFMWTIEOrUqcPNmzfZtm2bsvu3du3aHDhwgIsXL9KwYUOcnZ2ZMGFCroPBClK6dGl+//13LC0t6dChA3Z2dvTu3ZunT5/mWfoiP8HBwdSpU4c2bdpQv359nj9/zs6dO3P9Gf4/Wc+srCwGDBiAnZ0dLVq0wMbGhiVLlqi1KWi93oUSJUqwefNm0tLScHNzw9/fn7FjxwIou07f1vdiUQQHB9OjRw++/vprbG1tadeuHSdOnFArJfIqHx8fzp07R0JCgnLt888/Z/z48YwaNYo6depw9epVvvrqK7V+N27cwNnZGWdnZ1JSUpg9ezbOzs74+/srbRYtWkTHjh3p378/dnZ2jBgxgi+//FLtlz9//fVXrhrH/v7+ODs788MPP3Dx4kVlnhs3bvDo0SMiIiJyJYSXLl1KamoqHh4emJubK69ffvkFgJMnT3Ls2DHOnDlDtWrV1Nq8XLM3MTGRv/76S3nfoEED1q5dy7Jly3B0dGT9+vVs3rxZ7bC669evc/jwYXr16lXg5yOEEEIIIYQQQnzIVM9fV4BTiA/YlClTWLduXZ4HmImiW7NmDcOGDePGjRtvNVEbGRlJkyZNuHfvHkZGRm9t3DcRFRXFxx9/zOXLl/OtFfu+GjlyJA8ePOCHH34o7lBea+PGjYwbNy5XmYviNHr0aO7du5dr1/CbevDgAYaGhqSmphbpFzRCCCGEEEIIIcSbKOzPoVIyQvwnpaWlkZSUxOLFi5k6dWpxh/PBe/z4MSkpKQQFBfHll1++0127/7ZNmzahp6dH9erVuXz5MkOGDMHd3f2DSwYDjB07liVLlpCdnZ2r5u/7Rk9Pj2+//ba4w1BTvnx5hg8fXtxhCCGEEEIIIYQQ79T7nTEQ4g0NHDiQOnXq4OHh8dbKRfwvmzlzJjVq1MDMzIyAgIDiDuetevjwIQMGDKBGjRr4+vri5ubGli1bijusN2JkZMQ333zz3ieDAZo3b463t3dxh6Hm66+/xtTUtLjDEEIIIYQQQggh3ikpGSGE+J/m4eGBk5MT8+fPL+5Q3pqkpCSsra05deoUTk5OxR1OoQQGBrJ582bl4Lk38T6VHgEpGSGEEEIIIYQQ4t8lJSOEEKIQNm7cmOvwPPG/47/4CwEhhBBCCCGEEKIgkhAWQvxPK1u2bLHNnZ6e/p+qxyyEEOL9ZzVmR3GH8D8rKah1cYcghBBCCAFIDWEhxP84Dw8Phg4dCsCSJUuoXr062tramJqa0rFjR6Xds2fPGDx4MOXLl0dbW5uPP/6YEydOKPdDQkJylSnYvHkzKpVKeR8YGIiTkxMrVqzA2toabW1tANavX4+DgwM6OjoYGxvj6enJo0ePAMjOzmby5MlUrFiRUqVK4eTkxO7du9XmOX78OM7Ozmhra+Pq6sqpU6dyPefZs2dp2bIlenp6mJqa0r17d/76669CPd/Tp0+pWbMmffv2VdonJiair6/Pjz/+yKNHjzAwMGD9+vW5nl9XV5eHDx8C8Oeff9K1a1fKli2Lrq4urq6uHDt2TK3PmjVrsLKywtDQkC5duih9C/MZvOrvv/+ma9euVKhQgdKlS+Pg4MDPP/+s3Pf19eXAgQMsWLAAlUqFSqUiKSmpUOslhBBCCCGEEEJ8qCQhLIQQQHR0NIMHD2by5MkkJCSwe/duGjVqpNwfNWoUGzZsYNWqVZw8eZJq1arh5eXF3bt3izTP5cuX2bBhAxs3biQ2NpaUlBS6du2Kn58f8fHxREZG0qFDB3LKuy9YsIA5c+Ywe/ZsTp8+jZeXF59++imXLl0CIC0tjTZt2mBvb09MTAyBgYGMGDFCbc779+/TtGlTnJ2diY6OZvfu3dy6dYvOnTsX6vm0tbUJDQ1l1apVbNmyhaysLL744gs++eQT/Pz80NXVpUuXLgQHB6vNGxwcTMeOHdHX1yctLY3GjRtz/fp1tm7dSlxcHKNGjSI7O1tpn5iYyObNm9m+fTvbt2/nwIEDBAUFvfFn8PTpU+rUqcOOHTs4e/Ysffv2pXv37hw/flxZ2/r169OnTx9SUlJISUmhUqVKhVqvvDx79owHDx6ovYQQQgghhBBCiPeNlIwQQgggOTkZXV1d2rRpg76+PpUrV8bZ2RmAR48esXTpUkJCQmjZsiUAy5cvZ9++faxcuZKRI0cWep709HRWr16NiYkJACdPniQzM5MOHTpQuXJlABwcHJT2s2fPZvTo0XTp0gWAb7/9lv379zN//ny+++471q5dS3Z2NitXrkRbW5uaNWvy559/8tVXXyljLF68GGdnZ6ZPn65c+/HHH6lUqRIXL16kQoUKr30+Jycnpk6dir+/P126dOHq1ats375dGc/f358GDRqQkpKCubk5t2/fZufOnYSHhwOwdu1a7ty5w4kTJ5QyHdWqVVNbm+zsbEJCQtDX1wege/fuREREMG3atDf6DCpUqKCWHB80aBB79uzh119/pW7duhgaGqKlpUXp0qUxMzMr9HrZ2Njk+dnOmDGDSZMm5XlPCCGEEEIIIYR4X8gOYSGEAD755BMqV65MlSpV6N69O6GhoTx+/Bh4sXM1IyMDd3d3pX3JkiWpW7cu8fHxRZqncuXKSjIYwNHRkWbNmuHg4ECnTp1Yvnw59+7dA16cDnrjxg21eQHc3d2VeePj46ldu7ZSfgKgfv36au3j4uLYv38/enp6yqtGjRrKsxX2+b7++mtsbGxYvHgxP/74I8bGxsq9unXrUrNmTVatWgXATz/9ROXKlZVd1rGxsTg7OxdYs9nKykpJBgNKYjknzqJ+BllZWUyZMgUHBwfKli2Lnp4ee/bsITk5Od8YCrNe+QkICCA1NVV5Xbt2rcB5hBBCCCGEEEKI4iAJYSGEAPT19Tl58iQ///wz5ubmTJgwAUdHR+7fv1+o/hoaGkqZhxwZGRm52unq6qq9L1GiBPv27WPXrl3Y29uzaNEibG1tuXLlyhs/y6vS0tLw9vYmNjZW7XXp0iW1shivc/v2bS5evEiJEiWUkhUv8/f3JyQkBHhRLqJXr15KDWUdHZ3Xjl+yZEm19yqVSq2kRFHNmjWLBQsWMHr0aPbv309sbCxeXl6kp6cX2O9N16tUqVIYGBiovYQQQgghhBBCiPeNJISFEOL/09TUxNPTk5kzZ3L69GmSkpL47bffqFq1KlpaWkRFRSltMzIyOHHiBPb29gCYmJjw8OFD5TA4eLErtjBUKhXu7u5MmjSJU6dOoaWlxaZNmzAwMMDCwkJtXoCoqChlXjs7O06fPs3Tp0+V+0ePHlVr7+Liwrlz57CysqJatWpqL11d3UI9H4Cfnx8ODg6sWrWK0aNH59qZ+8UXX3D16lUWLlzI+fPn6dmzp3Kvdu3axMbGFrnmco7CxviyqKgo2rZtyxdffIGjoyNVqlTh4sWLam20tLTIyspSu/a69RJCCCGEEEIIIT5kUkNYCCGA7du388cff9CoUSPKlCnDzp07yc7OxtbWFl1dXb766itGjhxJ2bJlsbS0ZObMmTx+/JjevXsD8NFHH1G6dGm++eYbBg8ezLFjx5TdsgU5duwYERERNG/enPLly3Ps2DHu3LmDnZ0dACNHjmTixIlUrVoVJycngoODiY2NJTQ0FIBu3boxduxY+vTpQ0BAAElJScyePVttjgEDBrB8+XK6du3KqFGjKFu2LJcvXyYsLIwVK1YU6vm+++47jhw5wunTp6lUqRI7duzAx8eHo0ePoqWlBUCZMmXo0KEDI0eOpHnz5lSsWFGJoWvXrkyfPp127doxY8YMzM3NOXXqFBYWFrlKXOSlMDG+qnr16qxfv57Dhw9TpkwZ5s6dy61bt9QSyFZWVhw7doykpCT09PQoW7bsa9erRIkSr41XCCHeV0lBrYs7BCGEEEIIUcxkh7AQQgBGRkZs3LiRpk2bYmdnx/fff8/PP/9MzZo1AQgKCuKzzz6je/fuuLi4cPnyZfbs2UOZMmUAKFu2LD/99BM7d+7EwcGBn3/+mcDAwNfOa2BgwO+//06rVq2wsbFh3LhxzJkzRzk4bfDgwQwfPpyvv/4aBwcHdu/ezdatW6levToAenp6bNu2jTNnzuDs7MzYsWP59ttv1ebI2WWclZVF8+bNcXBwYOjQoRgZGaGhofHa57tw4QIjR45kyZIlVKpUCYAlS5bw119/MX78eLW5evfuTXp6On5+fmrXtbS02Lt3L+XLl6dVq1Y4ODgQFBRUpOTq6z6DV40bNw4XFxe8vLzw8PDAzMyMdu3aqbUZMWIEJUqUwN7eHhMTE5KTkwu1XkIIIYQQQgghxIdK9fzVopdCCCHEG1qzZg3Dhg3jxo0bys7h/1UPHjzA0NCQ1NRUqScshBBCCCGEEOKdK+zPoVIyQgghxD/2+PFjUlJSCAoK4ssvv/yfTwYLIYQQQgghhBDvK/nbVyGEEP/YzJkzqVGjBmZmZgQEBBR3OEIIIYQQQgghhMiHJISFEB88Dw8Phg4dWtxh/CtCQkIwMjIq7jAAUKlUbN68GYDAwEAyMjKIiIhAT09PaePr65urbu+7snLlSpo3b/7Wx01PT8fKyoro6Oi3PrYQQgghhBBCCPFvk4SwEEKIN5KSkqIcfpeUlIRKpSI2NlatzYIFCwgJCXnnsTx9+pTx48czceJEtesPHjxg7Nix1KhRA21tbczMzPD09GTjxo28XEI/Pj6eTz/9FENDQ3R1dXFzcyM5ORl4cSDeiBEjGD169Dt/DiGEEEIIIYQQ4l2TGsJCCCEUz58/JysrC03N1//vwczM7LVtDA0N30ZYr7V+/XoMDAxwd3dXrt2/f5+PP/6Y1NRUpk6dipubG5qamhw4cIBRo0bRtGlTjIyMSExM5OOPP6Z3795MmjQJAwMDzp07h7a2tjKWj48PX3/9NefOnaNmzZr/yjMJIcS7YDVmR3GHIN6RpKDWxR2CEEIIIT4QskNYCPGfkJ2dzahRoyhbtixmZmYEBgaq3b9//z7+/v6YmJhgYGBA06ZNiYuLA+DOnTuYmZkxffp0pf3hw4fR0tIiIiICgMTERNq2bYupqSl6enq4ubkRHh6uNoeVlRXTp0/Hz88PfX19LC0tWbZsmVqbM2fO0LRpU3R0dDA2NqZv376kpaUB8Pvvv1OyZElu3ryp1mfo0KE0bNgw32fftm0bbm5uaGtrU65cOdq3b6/cW7NmDa6urujr62NmZka3bt24ffu2cj8yMhKVSsWuXbuoU6cOpUqV4tChQ3h4eDB48OAC1/TlkhHW1tYAODs7o1Kp8PDwAHKXjCjMuAV9VvkJCwvD29tb7do333xDUlISx44do2fPntjb22NjY0OfPn2IjY1VSluMHTuWVq1aMXPmTJydnalatSqffvop5cuXV8YqU6YM7u7uhIWFFRiHEEIIIYQQQgjxvpOEsBDiP2HVqlXo6upy7NgxZs6cyeTJk9m3b59yv1OnTty+fZtdu3YRExODi4sLzZo14+7du5iYmPDjjz8SGBhIdHQ0Dx8+pHv37gwcOJBmzZoBkJaWRqtWrYiIiODUqVO0aNECb29vpaxAjjlz5uDq6sqpU6fo378/X331FQkJCQA8evQILy8vypQpw4kTJ1i3bh3h4eEMHDgQgEaNGlGlShXWrFmjjJeRkUFoaCh+fn55PveOHTto3749rVq14tSpU0RERFC3bl21/lOmTCEuLo7NmzeTlJSEr69vrnHGjBlDUFAQ8fHx1K5du1Br+rLjx48DEB4eTkpKChs3bnwnn1V+Dh06hKurq/I+OzubsLAwfHx8sLCwyNVeT08PTU1NsrOz2bFjBzY2Nnh5eVG+fHk++ugjJdH9srp163Lw4MF8Y3j27BkPHjxQewkhhBBCCCGEEO8bSQgLIf4TateuzcSJE6levTo9evTA1dVV2d176NAhjh8/zrp163B1daV69erMnj0bIyMj1q9fD0CrVq3o06cPPj4+9OvXD11dXWbMmKGM7+joyJdffkmtWrWoXr06U6ZMoWrVqmzdulUtjlatWtG/f3+qVavG6NGjKVeuHPv37wdg7dq1PH36lNWrV1OrVi2aNm3K4sWLWbNmDbdu3QKgd+/eBAcHK+Nt27aNp0+f0rlz5zyfe9q0aXTp0oVJkyZhZ2eHo6MjAQEByn0/Pz9atmxJlSpVqFevHgsXLmTXrl3KruQckydP5pNPPqFq1aqULVv2tWv6KhMTEwCMjY0xMzNTxngXn9Wr7t+/T2pqqlri96+//uLevXvUqFEj3zgAbt++TVpaGkFBQbRo0YK9e/fSvn17OnTowIEDB9TaWlhYcPXq1XzHmjFjBoaGhsqrUqVKBc4thBBCCCGEEEIUB0kICyH+E3J2teYwNzdXSiPExcWRlpaGsbExenp6yuvKlSskJiYqfWbPnk1mZibr1q0jNDSUUqVKKffS0tIYMWIEdnZ2GBkZoaenR3x8fK4dwi/HoVKpMDMzU+KIj4/H0dERXV1dpY27uzvZ2dnKLmJfX18uX77M0aNHAQgJCaFz585qfV4WGxur7GLOS0xMDN7e3lhaWqKvr0/jxo0BcsX98u7avJ4F1Nf0n3gbn9XLnjx5AqBW8/flA+MKkp2dDUDbtm0ZNmwYTk5OjBkzhjZt2vD999+rtdXR0eHx48f5jhUQEEBqaqryunbtWqFiEEIIIYQQQggh/k1yqJwQ4j+hZMmSau9VKpWS7EtLS8Pc3JzIyMhc/YyMjJSvExMTuXHjBtnZ2SQlJeHg4KDcGzFiBPv27WP27NlUq1YNHR0dOnbsSHp6eqHjKIzy5cvj7e1NcHAw1tbW7Nq1K8+4c+jo6OR7L6dEhZeXF6GhoZiYmJCcnIyXl1euuPNKOP/TZ8nP2/isXmZsbIxKpeLevXvKNRMTE4yMjLhw4UKBsZQrVw5NTU3s7e3VrtvZ2XHo0CG1aznlRfJTqlQptV8iCCGEEEIIIYQQ7yNJCAsh/vNcXFy4efMmmpqaWFlZ5dkmPT2dL774gs8//xxbW1v8/f05c+aMcrBYVFQUvr6+yoFtaWlpJCUlFSkOOzs7QkJCePTokZKAjYqKQkNDA1tbW6Wdv78/Xbt2pWLFilStWhV3d/d8x6xduzYRERH06tUr170LFy7w999/ExQUpJQviI6OLlLMhaWlpQVAVlbWPxqnMJ9VXnPb29tz/vx5mjdvDoCGhgZdunRhzZo1TJw4MVcd4bS0NLS1tdHS0sLNzU3ZoZ3j4sWLVK5cWe3a2bNncXZ2fvOHE0KI90BSUOviDkEIIYQQQhQzKRkhhPjP8/T0pH79+rRr1469e/eSlJTE4cOHGTt2rJIgHTt2LKmpqSxcuJDRo0djY2OjdpBb9erV2bhxI7GxscTFxdGtW7ci75b18fFBW1ubnj17cvbsWfbv38+gQYPo3r07pqamSjsvLy8MDAyYOnVqnonel02cOJGff/6ZiRMnEh8fz5kzZ/j2228BsLS0REtLi0WLFvHHH3+wdetWpkyZUqSYC6t8+fLo6Oiwe/dubt26RWpq6huNU5jPKi9eXl65dvROmzaNSpUq8dFHH7F69WrOnz/PpUuX+PHHH3F2dlbqKI8cOZJffvmF5cuXc/nyZRYvXsy2bdvo37+/2ngHDx5UEs5CCCGEEEIIIcSHShLCQoj/PJVKxc6dO2nUqBG9evXCxsaGLl26cPXqVUxNTYmMjGT+/PmsWbMGAwMDNDQ0WLNmDQcPHmTp0qUAzJ07lzJlytCgQQO8vb3x8vLCxcWlSHGULl2aPXv2cPfuXdzc3OjYsSPNmjVj8eLFau00NDTw9fUlKyuLHj16FDimh4cH69atY+vWrTg5OdG0aVOOHz8OvCibEBISwrp167C3tycoKIjZs2cXKebC0tTUZOHChfzwww9YWFjQtm3bNxrndZ9Vfnr37s3OnTvVEtFly5bl6NGjfPHFF0ydOhVnZ2caNmzIzz//zKxZszA0NASgffv2fP/998ycORMHBwdWrFjBhg0b+Pjjj5Wxjhw5QmpqKh07dnyj5xJCCCGEEEIIId4XqueFPXlHCCHEv6Z3797cuXOHrVu3FncoH4xOnTrh4uJCQEDAWx/7888/x9HRkW+++abQfR48eIChoSGpqakYGBi89ZiEEEIIIYQQQoiXFfbnUNkhLIQQ75HU1FQOHTrE2rVrGTRoUHGH80GZNWsWenp6b33c9PR0HBwcGDZs2FsfWwghhBBCCCGE+LdJQlgIId6Qh4cHQ4cOfatjtm3blubNm9OvXz8++eSTNxrDysqK+fPnv9W4iotKpWLz5s0AJCUloVKpiI2NzbOtlZXVO0mia2lpMW7cOHR0dN762EIIIYQQQgghxL9Ns7gDEEII8X8iIyOLO4T3VqVKlUhJSaFcuXJvbcykpCSsra05deoUTk5Ob21cIYQQQgghhBDifSUJYSGEEB+EEiVKYGZmVtxhCCHEB81qzI7iDkG8oaSg1sUdghBCCCH+I6RkhBBC/APZ2dmMGjWKsmXLYmZmRmBgoHLv/v37+Pv7Y2JigoGBAU2bNiUuLg6AO3fuYGZmxvTp05X2hw8fRktLi4iICAASExNp27Ytpqam6Onp4ebmRnh4uNr8t2/fxtvbGx0dHaytrQkNDc0VY0Fx5Ni2bRtubm5oa2tTrlw52rdvr9xbs2YNrq6u6OvrY2ZmRrdu3bh9+7ZyPzIyEpVKRUREBK6urpQuXZoGDRqQkJCgNseWLVtwcXFBW1ubKlWqMGnSJDIzM5X7ly5dolGjRmhra2Nvb8++ffvU+udVMuLAgQPUrVuXUqVKYW5uzpgxY9TG3L17Nx9//DFGRkYYGxvTpk0bEhMTlfvW1tYAODs7o1Kp8PDwUO6tWLECOzs7tLW1qVGjBkuWLMm1tkIIIYQQQgghxIdGEsJCCPEPrFq1Cl1dXY4dO8bMmTOZPHmyksjs1KkTt2/fZteuXcTExODi4kKzZs24e/cuJiYm/PjjjwQGBhIdHc3Dhw/p3r07AwcOpFmzZgCkpaXRqlUrIiIiOHXqFC1atMDb25vk5GRlfl9fX65du8b+/ftZv349S5YsUUvWvi4OgB07dtC+fXtatWrFqVOniIiIoG7dukr/jIwMpkyZQlxcHJs3byYpKQlfX99cazF27FjmzJlDdHQ0mpqa+Pn5KfcOHjxIjx49GDJkCOfPn+eHH34gJCSEadOmAS8S6x06dEBLS4tjx47x/fffM3r06ALX/vr167Rq1Qo3Nzfi4uJYunQpK1euZOrUqUqbR48eMXz4cKKjo4mIiEBDQ4P27duTnZ0NwPHjxwEIDw8nJSWFjRs3AhAaGsqECROYNm0a8fHxTJ8+nfHjx7Nq1aoCYxJCCCGEEEIIId53qufPnz8v7iCEEOJD5OHhQVZWFgcPHlSu1a1bl6ZNm9KmTRtat27N7du3KVWqlHK/WrVqjBo1ir59+wIwYMAAwsPDcXV15cyZM5w4cUKt/atq1apFv379GDhwIBcvXsTW1pbjx4/j5uYGwIULF7Czs2PevHkMHTqUQ4cOvTaOBg0aUKVKFX766adCPXd0dDRubm48fPgQPT09IiMjadKkCeHh4Uoye+fOnbRu3ZonT56gra2Np6cnzZo1IyAgQBnnp59+YtSoUdy4cYO9e/fSunVrrl69ioWFBfBid2/Lli3ZtGkT7dq1y1Xvd+zYsWzYsIH4+HhUKhUAS5YsYfTo0aSmpqKhkft3nn/99RcmJiacOXOGWrVq5VtDuFq1akyZMoWuXbsq16ZOncrOnTs5fPhwnuvy7Nkznj17prx/8OABlSpVIjU1FQMDg0KtrRBCvGtSMuLDJSUjhBBCCPE6Dx48wNDQ8LU/h8oOYSGE+Adq166t9t7c3Jzbt28TFxdHWloaxsbG6OnpKa8rV66olSyYPXs2mZmZrFu3jtDQULWkbVpaGiNGjMDOzg4jIyP09PSIj49XdgjHx8ejqalJnTp1lD41atTAyMhIeV+YOGJjY5VEbl5iYmLw9vbG0tISfX19GjduDKC2U/nVtTA3NwdQdivHxcUxefJktRj69OlDSkoKjx8/Jj4+nkqVKinJYID69esXsPIvnr9+/fpKMhjA3d2dtLQ0/vzzT+BFGYquXbtSpUoVDAwMsLKyyjP2lz169IjExER69+6tFu/UqVPVPrtXzZgxA0NDQ+VVqVKlAuMXQgghhBBCCCGKgxwqJ4QQ/0DJkiXV3qtUKrKzs0lLS8Pc3JzIyMhcfV5O2CYmJnLjxg2ys7NJSkrCwcFBuTdixAj27dvH7NmzqVatGjo6OnTs2JH09PRCx1eYOHR0dPLt/+jRI7y8vPDy8iI0NBQTExOSk5Px8vLKFcfLa5GTpM0pzZCWlsakSZPo0KFDrjm0tbUL/TxF5e3tTeXKlVm+fDkWFhZkZ2dTq1atAtcwLS0NgOXLl/PRRx+p3StRokS+/QICAhg+fLjyPmeHsBBCCCGEEEII8T6RhLAQQrwDLi4u3Lx5E01NTWVX6qvS09P54osv+Pzzz7G1tcXf358zZ85Qvnx5AKKiovD19VUOeEtLSyMpKUnpX6NGDTIzM4mJiVFKRiQkJHD//v0ixVG7dm0iIiLo1atXrnsXLlzg77//JigoSEluRkdHF3E1XsSRkJBAtWrV8rxvZ2fHtWvXSElJUXYXHz16tMAx7ezs2LBhA8+fP1cS0FFRUejr61OxYkX+/vtvEhISWL58OQ0bNgTg0KFDamNoaWkBkJWVpVwzNTXFwsKCP/74Ax8fn0I/Y6lSpQos9yGEEEIIIYQQQrwPJCEshBDvgKenJ/Xr16ddu3bMnDkTGxsbbty4oRzg5urqytixY0lNTWXhwoXo6emxc+dO/Pz82L59OwDVq1dn48aNeHt7o1KpGD9+vLLjFsDW1pYWLVrw5ZdfsnTpUjQ1NRk6dKjajt/CxDFx4kSaNWtG1apV6dKlC5mZmezcuZPRo0djaWmJlpYWixYtol+/fpw9e5YpU6YUeT0mTJhAmzZtsLS0pGPHjmhoaBAXF8fZs2eZOnUqnp6e2NjY0LNnT2bNmsWDBw8YO3ZsgWP279+f+fPnM2jQIAYOHEhCQgITJ05k+PDhaGhoUKZMGYyNjVm2bBnm5uYkJyczZswYtTHKly+Pjo4Ou3fvpmLFimhra2NoaMikSZMYPHgwhoaGtGjRgmfPnhEdHc29e/fUdgELIcSHRurQCiGEEEIIqSEshBDvgEqlYufOnTRq1IhevXphY2NDly5duHr1KqampkRGRjJ//nzWrFmDgYEBGhoarFmzhoMHD7J06VIA5s6dS5kyZWjQoAHe3t54eXnh4uKiNk9wcDAWFhY0btyYDh060LdvX2WHcWHigBeH461bt46tW7fi5ORE06ZNOX78OAAmJiaEhISwbt067O3tCQoKYvbs2UVeDy8vL7Zv387evXtxc3OjXr16zJs3j8qVKwOgoaHBpk2bePLkCXXr1sXf359p06YVOGaFChXYuXMnx48fx9HRkX79+tG7d2/GjRunjBkWFkZMTAy1atVi2LBhzJo1S20MTU1NFi5cyA8//ICFhQVt27YFwN/fnxUrVhAcHIyDgwONGzcmJCQEa2vrIj+7EEIIIYQQQgjxPlE9f/78eXEHIYQQQvzXFPZ0VyGEEEIIIYQQ4m0o7M+hskNYCCGEEEIIIYQQQggh/kdIQlgIIYQQQgghhBBCCCH+R0hCWAghhBBCCCGEEEIIIf5HSEJYCPFGPDw8GDp0aHGHkScrKyvmz59frDFERkaiUqm4f/8+ACEhIRgZGRVrTP+Gv//+m/Lly5OUlFTcobw133//Pd7e3sUdhhBCCCGEEEII8VZoFncAQgjxv+Dzzz+nVatWxR1GLklJSVhbW3Pq1CmcnJz+8XjTpk2jbdu2WFlZKdcGDx5MVFQUZ8+exc7OjtjY2Fz9nj9/zpw5c1i2bBlXr16lXLly9O/fn7Fjx+Y5T0ZGBuPGjWPnzp388ccfGBoa4unpSVBQEBYWFkWK+XVz+/n5MWXKFA4ePEjDhg2LNLYQQrxvrMbsKO4QPmhJQa2LOwQhhBBCiH9MEsJCCPEv0NHRQUdHp7jDeKceP37MypUr2bNnT657fn5+HDt2jNOnT+fZd8iQIezdu5fZs2fj4ODA3bt3uXv3boFznTx5kvHjx+Po6Mi9e/cYMmQIn376KdHR0UWK+3Vza2lp0a1bNxYuXCgJYSGEEEIIIYQQHzwpGSGEeGPZ2dmMGjWKsmXLYmZmRmBgoNr9+/fv4+/vj4mJCQYGBjRt2pS4uDgA7ty5g5mZGdOnT1faHz58GC0tLSIiIgBITEykbdu2mJqaoqenh5ubG+Hh4Wpz3L59G29vb3R0dLC2tiY0NDRXnAXFkWPbtm24ubmhra1NuXLlaN++vXJvzZo1uLq6oq+vj5mZGd26deP27dtq/Xfu3ImNjQ06Ojo0adIkV8mEvEpGbNmyBRcXF7S1talSpQqTJk0iMzNTua9SqVixYgXt27endOnSVK9ena1bt6qNceDAAerWrUupUqUwNzdnzJgxamPs3r2bjz/+GCMjI4yNjWnTpg2JiYnKfWtrawCcnZ1RqVR4eHgo91asWIGdnR3a2trUqFGDJUuW5FrbV9egVKlS1KtXT+36woULGTBgAFWqVMmzX3x8PEuXLmXLli18+umnWFtbU6dOHT755JN85zI0NGTfvn107twZW1tb6tWrx+LFi4mJiSE5ORl4sftZpVKxceNGmjRpQunSpXF0dOTIkSNFntvb25utW7fy5MmTAtdACCGEEEIIIYR430lCWAjxxlatWoWuri7Hjh1j5syZTJ48mX379in3O3XqxO3bt9m1axcxMTG4uLjQrFkz7t69i4mJCT/++COBgYFER0fz8OFDunfvzsCBA2nWrBkAaWlptGrVioiICE6dOkWLFi3w9vZWEn4Avr6+XLt2jf3797N+/XqWLFmSK1lbUBwAO3bsoH379rRq1YpTp04RERFB3bp1lf4ZGRlMmTKFuLg4Nm/eTFJSEr6+vsr9a9eu0aFDB7y9vYmNjcXf358xY8YUuHYHDx6kR48eDBkyhPPnz/PDDz8QEhLCtGnT1NpNmjSJzp07c/r0aVq1aoWPj48S9/Xr12nVqhVubm7ExcWxdOlSVq5cydSpU5X+jx49Yvjw4URHRxMREYGGhgbt27cnOzsbgOPHjwMQHh5OSkoKGzduBCA0NJQJEyYwbdo04uPjmT59OuPHj2fVqlUFPlOdOnUKfO68bNu2jSpVqrB9+3asra2xsrLC399fbZduTnI3MjIy33FSU1NRqVS5Eu9jx45lxIgRxMbGYmNjQ9euXZWkeWHmBnB1dSUzM5Njx47lO/+zZ8948OCB2ksIIYQQQgghhHjfqJ4/f/68uIMQQnx4PDw8yMrK4uDBg8q1unXr0rRpU4KCgjh06BCtW7fm9u3blCpVSmlTrVo1Ro0aRd++fQEYMGAA4eHhuLq6cubMGU6cOKHW/lW1atWiX79+DBw4kIsXL2Jra8vx48dxc3MD4MKFC9jZ2TFv3jyGDh1aqDgaNGhAlSpV+Omnnwr17NHR0bi5ufHw4UP09PT45ptv2LJlC+fOnVPajBkzhm+//ZZ79+5hZGRESEgIQ4cOVQ6Z8/T0pFmzZgQEBCh9fvrpJ0aNGsWNGzeAFzuEx40bx5QpU4AXyV09PT127dpFixYtGDt2LBs2bCA+Ph6VSgXAkiVLGD16NKmpqWho5P6d319//YWJiQlnzpyhVq1a+dYQrlatGlOmTKFr167KtalTp7Jz504OHz6c57q0a9cOY2NjVq5cmef9wMBANm/enKuGcL9+/QgJCcHJyYlZs2aRlZXFsGHDKFOmDL/99hvwIvndrFkzVq9erZasz/H06VPc3d2pUaOGsks859lWrFhB7969ATh//jw1a9YkPj6eGjVqFGruHGXLlmXevHn07Nkz3+ebNGlSruupqakYGBjk2UcIIf5tUkP4n5EawkIIIYR4nz148ABDQ8PX/hwqNYSFEG+sdu3aau/Nzc2V3blxcXGkpaVhbGys1ubJkydqJQtmz55NrVq1WLduHTExMWpJ27S0NAIDA9mxYwcpKSlkZmby5MkTZYdwfHw8mpqaartSa9SoobZDtDBxxMbG0qdPn3yfMyYmhsDAQOLi4rh3756yuzY5ORl7e3vi4+P56KOP1PrUr18/3/Fy4oqKilLbEZyVlcXTp095/PgxpUuXBtTXWFdXFwMDA2WN4+PjqV+/vpIMBnB3dyctLY0///wTS0tLLl26xIQJEzh27Bh//fWXWuy1atXKM7ZHjx6RmJhI79691dYlMzMTQ0PDfJ/pyZMnaGtrF/jcecnOzubZs2esXr0aGxsbAFauXEmdOnVISEjA1taWChUqcOHChTz7Z2Rk0LlzZ54/f87SpUtz3X95Dc3NzYEXpUZq1KhRqLlz6Ojo8Pjx43yfIyAggOHDhyvvHzx4QKVKlYqwEkIIIYQQQgghxLsnCWEhxBsrWbKk2nuVSqUkHNPS0jA3N8/zT/xfTtgmJiZy48YNsrOzSUpKwsHBQbk3YsQI9u3bx+zZs6lWrRo6Ojp07NiR9PT0QsdYmDgKOuzt0aNHeHl54eXlRWhoKCYmJiQnJ+Pl5VWkOPKKa9KkSXTo0CHXvZeTqgWtcWF4e3tTuXJlli9fjoWFBdnZ2dSqVavA2NPS0gBYvnx5rkR3iRIl8u1Xrlw57t27V+jYcpibm6OpqakkZAHs7OyAF4nrl5Oyr8pJBl+9epXffvstz9+AvryGOcnznDUsytw5pU7yU6pUqQJ3twshhBBCCCGEEO8DSQgLId4JFxcXbt68iaamJlZWVnm2SU9P54svvuDzzz/H1tYWf39/zpw5Q/ny5QGIiorC19dXOeAtLS1N7bC2GjVqkJmZSUxMjFIyIiEhQSnLUNg4ateuTUREBL169cp178KFC/z9998EBQUpuz2jo6PV2tjZ2eU67O3o0aP5rk1OXAkJCVSrVq3AdgWxs7Njw4YNPH/+XEl0RkVFoa+vT8WKFfn7779JSEhg+fLlNGzYEIBDhw6pjaGlpQW82J2cw9TUFAsLC/744w98fHwKHY+zs3Ohy268zN3dnczMTBITE6latSoAFy9eBKBy5cr59stJBl+6dIn9+/fn2gX+NudOTEzk6dOnODs7F3kOIYR4n0jJAyGEEEIIIYfKCSHeCU9PT+rXr0+7du3Yu3cvSUlJHD58mLFjxyoJ1bFjx5KamsrChQsZPXo0NjY2+Pn5KWNUr16djRs3EhsbS1xcHN26dVPbHWtra0uLFi348ssvOXbsGDExMfj7+6vt+C1MHBMnTuTnn39m4sSJxMfHc+bMGb799lsALC0t0dLSYtGiRfzxxx9s3bpVqembo1+/fly6dImRI0eSkJDA2rVrCQkJKXB9JkyYwOrVq5k0aRLnzp0jPj6esLAwxo0bV+g17t+/P9euXWPQoEFcuHCBLVu2MHHiRIYPH46GhgZlypTB2NiYZcuWcfnyZX777Te1kgYA5cuXR0dHh927d3Pr1i1SU1OBF4fZzZgxg4ULF3Lx4kXOnDlDcHAwc+fOzTceLy8vzp07l2uX8OXLl4mNjeXmzZs8efKE2NhYYmNjlV3Knp6euLi44Ofnx6lTp4iJieHLL7/kk08+UXbuXr9+nRo1aiiH4GVkZNCxY0eio6MJDQ0lKyuLmzdvcvPmzSLt3C7M3PDiwLwqVaooSWMhhBBCCCGEEOJDJQlhIcQ7oVKp2LlzJ40aNaJXr17Y2NjQpUsXrl69iqmpKZGRkcyfP581a9ZgYGCAhoYGa9as4eDBg0od2Llz51KmTBkaNGiAt7c3Xl5euLi4qM0THByMhYUFjRs3pkOHDvTt21fZYVyYOODFAXnr1q1j69atODk50bRpUyXxaGJiQkhICOvWrcPe3p6goCBmz56tFoOlpSUbNmxg8+bNODo68v333zN9+vQC18fLy4vt27ezd+9e3NzcqFevHvPmzStwR+yrKlSowM6dOzl+/DiOjo7069eP3r17K0llDQ0NwsLCiImJoVatWgwbNoxZs2apjaGpqcnChQv54YcfsLCwoG3btgD4+/uzYsUKgoODcXBwoHHjxoSEhGBtbZ1vPA4ODri4uPDrr7+qXff398fZ2ZkffviBixcv4uzsjLOzs3J4noaGBtu2baNcuXI0atSI1q1bY2dnR1hYmDJGRkYGCQkJSg3f69evs3XrVv7880+cnJwwNzdXXvkdepeXwswN8PPPPxdYZ1oIIYQQQgghhPhQqJ4/f/68uIMQQgjx37Bjxw5GjhzJ2bNn0dD4b/zO8dy5czRt2pSLFy8WeKjeqwp7uqsQQgghhBBCCPE2FPbnUKkhLIQQ4q1p3bo1ly5d4vr160rN5Q9dSkoKq1evLlIyWAghhBBCCCGEeF/9N7ZvCSHEe8zDw4OhQ4cWdxj/mqFDh/4ryeDx48fTt2/fdz5PeHg427dvf+fzCCGEEEIIIYQQ/wZJCAshxH+Er68v7dq1K+4w8vU247t58yYLFixg7NixyjUrKytUKlWu14ABAwoc6/Tp0zRs2BBtbW0qVarEzJkz1e6PGDGCVatW8ccff7yV2IUQQgghhBBCiOIkCWEhhBAfnBUrVtCgQQO1Q/hOnDhBSkqK8tq3bx8AnTp1ynecBw8e0Lx5cypXrkxMTAyzZs0iMDCQZcuWKW3KlSuHl5eXctihEEIIIYQQQgjxIZOEsBBC/Auys7MZNWoUZcuWxczMjMDAQLX79+/fx9/fHxMTEwwMDGjatClxcXHK/cDAQJycnPjhhx+oVKkSpUuXpnPnzqSmpir3V61axZYtW5SdsZGRkQCMHj0aGxsbSpcuTZUqVRg/fjwZGRm5xl6zZg1WVlYYGhrSpUsXHj58qLR59uwZgwcPpnz58mhra/Pxxx9z4sQJ5X5WVha9e/fG2toaHR0dbG1tWbBggdoc+cV37do1OnfujJGREWXLlqVt27YkJSUVuJ5hYWF4e3urXTMxMcHMzEx5bd++napVq9K4ceN8xwkNDSU9PZ0ff/yRmjVr0qVLFwYPHszcuXPV2nl7exMWFlZgTEIIIYQQQgghxIdAEsJCCPEvWLVqFbq6uhw7doyZM2cyefJkZQcrvNjFevv2bXbt2kVMTAwuLi40a9aMu3fvKm0uX77Mr7/+yrZt29i9ezenTp2if//+wIuyBp07d6ZFixbKDtkGDRoAoK+vT0hICOfPn2fBggUsX76cefPmqcWXmJjI5s2b2b59O9u3b+fAgQMEBQUp90eNGsWGDRtYtWoVJ0+epFq1anh5eSnxZWdnU7FiRdatW8f58+eZMGEC33zzDb/++muB8WVkZODl5YW+vj4HDx4kKioKPT09WrRoQXp6ep5reffuXc6fP4+rq2u+652ens5PP/2En58fKpVKue7r64uHh4fy/siRIzRq1AgtLS3lmpeXFwkJCdy7d0+5VrduXf7888/XJqqFEEIIIYQQQoj3nSSEhRDiX1C7dm0mTpxI9erV6dGjB66urkRERABw6NAhjh8/zrp163B1daV69erMnj0bIyMj1q9fr4zx9OlTVq9ejZOTE40aNWLRokWEhYVx8+ZN9PT00NHRoVSpUsoO2Zwk57hx42jQoAFWVlZ4e3szYsQIJVGbIzs7m5CQEGrVqkXDhg3p3r27Et+jR49YunQps2bNomXLltjb27N8+XJ0dHRYuXIlACVLlmTSpEm4urpibW2Nj48PvXr1UubJL75ffvmF7OxsVqxYgYODA3Z2dgQHB5OcnKzsIH5VcnIyz58/x8LCIt/13rx5M/fv38fX11fturm5OZaWlsr7mzdvYmpqqtYm5/3NmzeVazlzXb16Nd85nz17xoMHD9ReQgghhBBCCCHE+0azuAMQQoj/BbVr11Z7b25uzu3btwGIi4sjLS0NY2NjtTZPnjwhMTFReW9paUmFChWU9/Xr1yc7O5uEhATMzMzynfuXX35h4cKFJCYmkpaWRmZmJgYGBmptrKys0NfXzzO+xMREMjIycHd3V+6XLFmSunXrEh8fr1z77rvv+PHHH0lOTubJkyekp6fj5ORU4LrExcVx+fJltbnhRfL75Wd/2ZMnTwDQ1tbOd9yVK1fSsmXLXEnjGTNmFBhPfnR0dAB4/Phxvm1mzJjBpEmT3mh8IYQQQgghhBDi3yIJYSGE+BeULFlS7b1KpSI7OxuAtLQ0zM3N89wRa2Rk9I/mPXLkCD4+PkyaNAkvLy8MDQ0JCwtjzpw5hY6vMMLCwhgxYgRz5syhfv366OvrM2vWLI4dO1Zgv7S0NOrUqUNoaGiueyYmJnn2KVeuHAD37t3Ls83Vq1cJDw9n48aNr43bzMyMW7duqV3Lef9ykj2nNEZ+MQEEBAQwfPhw5f2DBw+oVKnSa2MQQgghhBBCCCH+TZIQFkKIYubi4sLNmzfR1NTEysoq33bJycncuHFD2fV69OhRNDQ0sLW1BUBLS4usrCy1PocPH6Zy5cqMHTtWuVZQ2YO8VK1aFS0tLaKioqhcuTIAGRkZnDhxgqFDhwIQFRVFgwYNlJrGQK4dvnnF5+Liwi+//EL58uVz7VouKB4DAwPOnz+PjY1NrvvBwcGUL1+e1q1bv3as+vXrM3bsWDIyMpSk+L59+7C1taVMmTJKu7Nnz1KyZElq1qyZ71ilSpWiVKlShXoGIYQQQgghhBCiuEgNYSGEKGaenp7Ur1+fdu3asXfvXpKSkjh8+DBjx44lOjpaaaetrU3Pnj2Ji4vj4MGDDB48mM6dOys7Wa2srDh9+jQJCQn89ddfZGRkUL16dZKTkwkLCyMxMZGFCxeyadOmIsWnq6vLV199xciRI9m9ezfnz5+nT58+PH78mN69ewNQvXp1oqOj2bNnDxcvXmT8+PGcOHFCbZy84vPx8aFcuXK0bduWgwcPcuXKFSIjIxk8eDB//vlnnvFoaGjg6enJoUOHct3Lzs4mODiYnj17oqmZ+3eeAQEB9OjRQ3nfrVs3tLS06N27N+fOneOXX35hwYIFajt9AQ4ePEjDhg2V0hFCCCGEEEIIIcSHShLCQghRzFQqFTt37qRRo0b06tULGxsbunTpwtWrV9UOPKtWrRodOnSgVatWNG/enNq1a7NkyRLlfp8+fbC1tcXV1RUTExOioqL49NNPGTZsGAMHDsTJyYnDhw8zfvz4IscYFBTEZ599Rvfu3XFxceHy5cvs2bNH2UX75Zdf0qFDBz7//HM++ugj/v77b7XdwvnFV7p0aX7//XcsLS3p0KEDdnZ29O7dm6dPnxa4Y9jf35+wsLBcZS3Cw8NJTk7Gz88vz34pKSkkJycr7w0NDdm7dy9XrlyhTp06fP3110yYMIG+ffuq9QsLC6NPnz5FWjMhhBBCCCGEEOJ9pHr+/Pnz4g5CCCFEwQIDA9m8eTOxsbHFHcp74fnz53z00UcMGzaMrl27vtO5du3axddff83p06fz3HWcnwcPHmBoaEhqamqhy2EIIYQQQgghhBBvqrA/h8oOYSGEEB8clUrFsmXLyMzMfOdzPXr0iODg4CIlg4UQQgghhBBCiPeV/HQrhBDig+Tk5ISTk9M7n6djx47vfA4hhBBCCCGEEOLfIjuEhRD/WVZWVsyfP7+4w3grAgMDi1QuIjAw8F9Jlr5Nb+Pz8vX1pV27dm8lHiGEEEIIIYQQ4r9IEsJCCCH+ZyUlJaFSqaQ2sxBCCCGEEEKI/xlSMkIIIYpReno6WlpaxR2GEEKI/xFWY3YUdwjiPyYpqHVxhyCEEEKIIpIdwkKID9bDhw/x8fFBV1cXc3Nz5s2bh4eHB0OHDs3V1s/PjzZt2qhdy8jIoHz58qxcuRKA7OxsZs6cSbVq1ShVqhSWlpZMmzZNaX/mzBmaNm2Kjo4OxsbG9O3bl7S0NOV+XnO3a9cOX19f5b2VlRVTpkyhR48eGBgY0LdvX9LT0xk4cCDm5uZoa2tTuXJlZsyYofRJTk6mbdu26OnpYWBgQOfOnbl165baPEFBQZiamqKvr0/v3r15+vRprjVYsWIFdnZ2aGtrU6NGDZYsWaJ2v6Dni4yMREtLi4MHDyrtZ86cSfny5bl16xarV6/G2NiYZ8+e5Xr+7t27K++3bduGm5sb2tralCtXjvbt26u1f/z4MX5+fujr62NpacmyZcsKHWNedu/ezccff4yRkRHGxsa0adOGxMRE5b61tTUAzs7OqFQqPDw8Cr1eQgghhBBCCCHEh0gSwkKID9bw4cOJiopi69at7Nu3j4MHD3Ly5Mk82/r7+7N7925SUlKUa9u3b+fx48d8/vnnAAQEBBAUFMT48eM5f/48a9euxdTUFIBHjx7h5eVFmTJlOHHiBOvWrSM8PJyBAwcWOe7Zs2fj6OjIqVOnGD9+PAsXLmTr1q38+uuvJCQkEBoaipWVFfAiSd22bVvu3r3LgQMH2LdvH3/88YcSM8Cvv/5KYGAg06dPJzo6GnNz81zJy9DQUCZMmMC0adOIj49n+vTpjB8/nlWrVhXq+XKS3d27dyc1NVWJfcWKFZiamtKpUyeysrLYunWrMuft27fZsWMHfn5+AOzYsYP27dvTqlUrTp06RUREBHXr1lWLc86cObi6unLq1Cn69+/PV199RUJCwht/Bo8ePWL48OFER0cTERGBhoYG7du3Jzs7G4Djx48DEB4eTkpKChs3bizUeuXl2bNnPHjwQO0lhBBCCCGEEEK8b1TPnz9/XtxBCCFEUT18+BBjY2PWrl1Lx44dAUhNTcXCwoI+ffowf/58rKysGDp0qLJrt2bNmvTs2ZNRo0YB8Omnn2JsbExwcDAPHz7ExMSExYsX4+/vn2u+5cuXM3r0aK5du4auri4AO3fuxNvbmxs3bmBqaoqHhwdOTk5qB6O1a9cOIyMjQkJCgBc7hJ2dndm0aZPSZvDgwZw7d47w8HBUKpXavPv27aNly5ZcuXKFSpUqAXD+/Hlq1qzJ8ePHcXNzo0GDBjg7O/Pdd98p/erVq8fTp0+V2rjVqlVjypQpdO3aVWkzdepUdu7cyeHDhwv1fOnp6Xz00UfY2Nhw9uxZ3N3d1Xbw9u/fn6SkJHbu3AnA3Llz+e6777h8+TIqlYoGDRpQpUoVfvrppzw/UysrKxo2bMiaNWsAeP78OWZmZkyaNIl+/foVKkZfX1/u37/P5s2b85zjr7/+wsTEhDNnzlCrVi2SkpKwtrbm1KlTaofwvW698hIYGMikSZNyXU9NTcXAwCDPPkII8W+TkhHibZOSEUIIIcT748GDBxgaGr7251DZISyE+CD98ccfZGRkqO0wNTQ0xNbWNt8+/v7+BAcHA3Dr1i127dql7F6Nj4/n2bNnNGvWLM++8fHxODo6KolIAHd3d7Kzs5UdrIXl6uqq9t7X15fY2FhsbW0ZPHgwe/fuVZu3UqVKSjIYwN7eHiMjI+Lj45U2H330kdqY9evXV75+9OgRiYmJ9O7dGz09PeU1depUpXxCYZ5PS0uL0NBQNmzYwNOnT5k3b57anH369GHv3r1cv34dgJCQEHx9fZUkd2xsbL7rm6N27drK1yqVCjMzM27fvl3oGF916dIlunbtSpUqVTAwMFB2XicnJ+cbQ2HWKy8BAQGkpqYqr2vXrhX4rEIIIYQQQgghRHGQQ+WEEP8zevTowZgxYzhy5AiHDx/G2tqahg0bAqCjo/OPx9fQ0ODVP7rIyMjI1e7lhCaAi4sLV65cYdeuXYSHh9O5c2c8PT1Zv379P44JUGrsLl++PFfiuESJEkUaK2d37N27d7l7967aszg7O+Po6Mjq1atp3rw5586dY8eO/9uJVpg1LlmypNp7lUqllHd4E97e3lSuXJnly5djYWFBdnY2tWrVIj09Pd8+b7pepUqVolSpUm8cqxBCCCGEEEII8W+QHcJCiA9SlSpVKFmyJCdOnFCupaamcvHixXz7GBsb065dO4KDgwkJCaFXr17KverVq6Ojo0NERESefe3s7IiLi+PRo0fKtaioKDQ0NJRdySYmJmo1irOysjh79myhnsfAwIDPP/+c5cuX88svv7Bhwwbu3r2LnZ0d165dU9ttev78ee7fv4+9vb0S27Fjx9TGO3r0qPK1qakpFhYW/PHHH1SrVk3tlXOoWmGeLzExkWHDhimJ0p49e+ZK1vr7+xMSEkJwcDCenp5qO5tr166d7/oWRmFifNnff/9NQkIC48aNo1mzZtjZ2XHv3j21NlpaWsCLzypHYdZLCCGEEEIIIYT4UMkOYSHEB0lfX5+ePXsycuRIypYtS/ny5Zk4cSIaGhq56vC+zN/fnzZt2pCVlUXPnj2V69ra2owePZpRo0ahpaWFu7s7d+7c4dy5c/Tu3RsfHx8mTpxIz549CQwM5M6dOwwaNIju3bsrB881bdqU4cOHs2PHDqpWrcrcuXO5f//+a59l7ty5mJub4+zsjIaGBuvWrcPMzAwjIyM8PT1xcHDAx8eH+fPnk5mZSf/+/WncuLFSemLIkCH4+vri6uqKu7s7oaGhnDt3jipVqihzTJo0icGDB2NoaEiLFi149uwZ0dHR3Lt3j+HDh7/2+bKysvjiiy/w8vKiV69etGjRAgcHB+bMmcPIkSOVebp168aIESNYvnw5q1evVnvOiRMn0qxZM6pWrUqXLl3IzMxk586djB49ulCfeWE+g5eVKVMGY2Njli1bhrm5OcnJyYwZM0atTfny5dHR0WH37t1UrFgRbW1tDA0NX7teQgjxoZJ6r0IIIYQQQnYICyE+WHPnzqV+/fq0adMGT09P3N3dsbOzQ1tbO98+np6emJub4+XlhYWFhdq98ePH8/XXXzNhwgTs7Oz4/PPPlfq1pUuXZs+ePdy9exc3Nzc6duxIs2bNWLx4sdLfz8+Pnj170qNHDxo3bkyVKlVo0qTJa59DX1+fmTNn4urqipubm3IwW05ye8uWLZQpU4ZGjRrh6elJlSpV+OWXX5T+n3/+OePHj2fUqFHUqVOHq1ev8tVXX6nN4e/vz4oVKwgODsbBwYHGjRsTEhKi7Hh93fNNmzaNq1ev8sMPPwBgbm7OsmXLGDduHHFxcco8hoaGfPbZZ+jp6dGuXTu1GDw8PFi3bh1bt27FycmJpk2bcvz48deuT47CfAYv09DQICwsjJiYGGrVqsWwYcOYNWuWWhtNTU0WLlzIDz/8gIWFBW3bti3UegkhhBBCCCGEEB8q1fNXC14KIcQH6tGjR1SoUIE5c+bQu3fvPNukpaVRoUIFgoOD6dChw78c4f+GZs2aUbNmTRYuXFjcoRSrwp7uKoQQQgghhBBCvA2F/TlUSkYIIT5Yp06d4sKFC9StW5fU1FQmT54MoOzyfFl2djZ//fUXc+bMwcjIiE8//fTfDvc/7969e0RGRhIZGcmSJUuKOxwhhBBCCCGEEELkQRLCQogP2uzZs0lISEBLS4s6depw8OBBypUrl6tdcnIy1tbWVKxYkZCQEDQ15T9/b5uzszP37t3j22+/zfOQNyGEEEIIIYQQQhQ/qSEs3gtWVlbMnz+/uMMolMjISFQqVaEOCxPvdr2cnZ2JiYlhxIgRWFpasm/fPhwcHPJs6+vry5AhQ7h27RrNmjV767G8CV9f31x1dt+VlStX0rx583caT1JSEqmpqYwYMeKNx3hfdenShTlz5hR3GEIIIYQQQgghxD8mCWEh3oGQkBBUKhUtWrRQu37//n1UKhWRkZFvNG5SUhIqlYrY2Nh/HuT/mI0bNzJlypTiDkPNggULCAkJeefzPH36lPHjxzNx4sQi9fv999/x9vbGwsIClUrF5s2bc7VJS0tj4MCBVKxYER0dHezt7fn+++9fG4+vry8ODg5oamoWmIRetWoVH3/8MfDiM2zevDnGxsb5/ju4efMm3bt3x8zMDF1dXVxcXNiwYcNrnzUyMhIXFxdKlSpFtWrVcn0u48aNY9q0aaSmpr52LCGEEEIIIYQQ4n0mfzMtxDuiqalJeHg4+/fvp0mTJsUdTpGlp6ejpaVV3GG8NWXLli3uEHIxNDT8V+ZZv349BgYGuLu7F6nfo0ePcHR0xM/PL98D+IYPH85vv/3GTz/9hJWVFXv37qV///5YWFjkW6c5KysLHR0dBg8e/Npk7ZYtW5RxHj16xMcff0znzp3p06dPnu179OjB/fv32bp1K+XKlWPt2rV07tyZ6OhonJ2d8+xz5coVWrduTb9+/QgNDSUiIgJ/f3/Mzc3x8vICoFatWlStWpWffvqJAQMGFBizEEK8z6zG7CjuEP7TkoJaF3cIQgghhBCvJTuExTv38OFDfHx80NXVxdzcnHnz5uHh4cHQoUPzbO/n50ebNm3UrmVkZFC+fHlWrlwJvDggbObMmVSrVo1SpUphaWnJtGnTlPZnzpyhadOm6OjoYGxsTN++fUlLS1PuR0ZGUrduXXR1dTEyMsLd3Z2rV6+SlJSEhoYG0dHRavPPnz+fypUrk52dXejn1tXVxc/PjzFjxhS6D7w4mMvHxwcTExN0dHSoXr06wcHBAFhbWwMvSiWoVCo8PDyUfitWrMDOzg5tbW1q1KiR61Cv0aNHY2NjQ+nSpalSpQrjx48nIyNDuR8YGIiTkxMrVqzA2toabW1t4EXt3bZt26Knp4eBgQGdO3fm1q1bAG9tveLi4mjSpAn6+voYGBhQp04dZcyQkBCMjIzYvHkz1atXR1tbGy8vL65du5ZrnDVr1mBlZYWhoSFdunTh4cOHyr1Xv+esrKyYPn06fn5+6OvrY2lpybJly9TGO3z4ME5OTmhra+Pq6srmzZtz7Uw9cOAAdevWpVSpUpibmzNmzBgyMzOV++vXr8fBwUH5XvT09OTRo0dA7hINHh4eDB48mFGjRlG2bFnMzMwIDAxUi+n+/fv4+/tjYmKCgYEBTZs2JS4ursD1DQsLw9vbW+1aVlYWw4cPx8jICGNjY0aNGsXz58/V2rRs2ZKpU6fSvn37fMc+fPgwPXv2xMPDAysrK/r27YujoyPHjx/Pt4+uri5Lly6lT58+mJmZ5dvu6dOn7N27V0kId+/enQkTJuDp6VlgPIMGDaJu3bpUqVKFcePGYWRkRExMTL59vv/+e6ytrZkzZw52dnYMHDiQjh07Mm/ePLV23t7ehIWF5TuOEEIIIYQQQgjxIZCEsHjnhg8fTlRUFFu3bmXfvn0cPHiQkydP5tve39+f3bt3k5KSolzbvn07jx8/5vPPPwcgICCAoKAgxo8fz/nz51m7di2mpqbAi12EXl5elClThhMnTrBu3TrCw8MZOHAgAJmZmbRr147GjRtz+vRpjhw5Qt++fVGpVFhZWeHp6akkYHMEBwfj6+uLhkbR/skEBgZy5swZ1q9fX+g+Oc+0a9cu4uPjWbp0qXJIWk6SLTw8nJSUFDZu3AhAaGgoEyZMYNq0acTHxzN9+nTGjx/PqlWrlHH19fUJCQnh/PnzLFiwgOXLl+dKeF2+fJkNGzawceNGYmNjyc7Opm3btty9e5cDBw6wb98+/vjjD+VzeFvr5ePjQ8WKFTlx4gQxMTGMGTOGkiVLKvcfP37MtGnTWL16NVFRUdy/f58uXbqojZGYmMjmzZvZvn0727dv58CBAwQFBRU475w5c3B1deXUqVP079+fr776ioSEBAAePHiAt7c3Dg4OnDx5kilTpjB69Gi1/tevX6dVq1a4ubkRFxfH0qVLWblyJVOnTgUgJSWFrl274ufnR3x8PJGRkXTo0CFX4vVlq1atQldXl2PHjjHz/7F353E9Zv/j/x+v0r4qWrRHEpJQg5hso1A0DGY0Kooxyjq0jKXsMaJGb2PGUBgNM2YsY5tJgyGNfY8sgyzZBi0iqev3R7+ur5cWMZYxn3O/3V63W9d1nXOuc871ilvP13k9z5w5TJ06ldTUVPl63759uXnzJlu2bOHgwYO0aNGCzp07c+fOnSrb3L17N61ataow9uTkZJYuXcru3bu5c+cOa9eurXa+KtO2bVs2bNjA1atXkSSJ7du3c+bMGaV8xUFBQUofXtRUWloaFhYWNGrU6Ln6s3r1au7cuUNpaSmrVq3i4cOHSvfv0KEDQUFB8nFGRkaFILOXlxcZGRlK59zd3dm3bx9FRUWV3ruoqIi8vDyllyAIgiAIgiAIgiD824iUEcIrlZ+fz7Jly0hJSZE38kpKSqJevXpV1mnbti2Ojo6sWLGC8PBwuU7fvn3R1dUlPz+fhIQEEhMTCQwMBKB+/fpyntGUlBQePnzI8uXL0dHRASAxMRFfX19mz56Nmpoaubm5+Pj4UL9+fQCcnJzk+4eEhDBs2DDmzZuHhoYGhw4d4vjx46xfv/65x1+vXj1GjRrFhAkTarxZV3Z2Nq6urnIAz9bWVr5Wt25dAIyNjZVWVkZHRxMXFyd/rd/Ozo7MzEy+/vpreY4mTpwol7e1tWXcuHGsWrVKnmMoSxOxfPly+T6pqakcP36cCxcuYGVlBcDy5ctp0qQJ+/fvx83N7aXMV3Z2NuPHj5cDfw4ODkrXi4uLSUxM5J133gHKgqZOTk7s27cPd3d3oGzVeHJyMnp6ekDZatK0tDSlleNP6969O8OHDwfKVlDPnz+f7du34+joSEpKCgqFgsWLF6OpqUnjxo25evWqUqqChQsXYmVlRWJiIgqFgkaNGnHt2jUiIiKYPHkyOTk5PH78mN69e2NjYwNQ5aZ35Zo1aybn+nVwcCAxMZG0tDTee+89du/ezb59+7h58yYaGhoAzJ07l3Xr1rFmzRqGDh1aob179+6Rm5tb4XcuPj6eqKgo+T2zaNEifv3112r7VpkFCxYwdOhQLC0tqVWrFioqKixevJh3331XLmNubv5cq+vLPZkuoqZ++OEH+vfvj7GxMbVq1UJbW5u1a9fSoEEDuYy1tTXm5uby8fXr1+UPlMqZmpqSl5fHgwcP0NLSAsp+nx89esT169fl5/mkWbNmMWXKlOfqryAIgiAIgiAIgiC8bmKFsPBK/fXXXxQXF8tBOyjLm+ro6FhtvZCQEHnV6Y0bN9iyZQuDBw8G4NSpUxQVFckB5qedOnUKFxcXORgM4OHhQWlpKVlZWRgZGREUFISXlxe+vr4kJCQorUb28/NDVVVVXi2ZnJxMx44dlQKzT9LV1ZVfw4YNq3A9IiKCW7dusXTp0grXunXrJtdt0qQJAJ9++imrVq2iefPmhIeHs2fPnmrn6v79+5w/f57g4GClvkyfPp3z58/L5VavXo2HhwdmZmbo6uoyceJEsrOzldqysbGRg8Hlc2llZSUHgwEaN26MoaEhp06demnzNXbsWEJCQujSpQuxsbFK/YayfMxubm7ycaNGjZT6AGVB7vJgMJQFIW/evFnt3DVr1kz+WaFQYGZmJtfJysqiWbNmcuoMQOl9XD4/bdq0QaFQyOc8PDwoKCjgypUruLi40LlzZ5ydnenbty+LFy/m7t27Ne7T0+M4evQoBQUFGBsbK83jhQsXKsxZuQcPHgAojSM3N5ecnBw5wA5lc/z0KuKaWLBgAX/++ScbNmzg4MGDxMXFERoayrZt2+Qys2bNYvny5c/VriRJ/PLLL88dEJ40aRL37t1j27ZtHDhwgLFjx9KvXz+OHz8ul1m+fDmzZs16rnYBOTBcWFhY6fWoqChyc3PlV2VpTQRBEARBEARBEAThTRMrhIV/pYCAACIjI8nIyGDPnj3Y2dnRvn174P8FZf6JpKQkRo4cydatW1m9ejUTJ04kNTWV1q1bo66uTkBAAElJSfTu3ZuUlBQSEhKqbOvJfLL6+voVrhsaGhIVFcWUKVMq5Eb+9ttv5YBdeYqEbt26cenSJTZv3kxqaiqdO3cmNDSUuXPnVnr/8tzIixcvVgrwAaiqqgJlX4n39/dnypQpeHl5YWBgwKpVq4iLi1Mq/2QQvaZexnzFxMQwYMAANm3axJYtW4iOjmbVqlXV5q592pMpJqAswPusVakvUud5qKqqkpqayp49e/jtt99YsGABEyZMYO/evXI+6OfpU0FBAebm5uzYsaNCPUNDw0rbMzY2RqFQPDMQ/SIePHjA559/ztq1a+nRo2wTnWbNmnHkyBHmzp1bba7fZ9m3bx+PHz+mbdu2Na5z/vx5EhMTOXHihPwBi4uLC7t27eJ///sfixYtqrSemZmZnBe73I0bN9DX11f696Y8LceTH5o8SUNDQ165LQiCIAiCIAiCIAj/VmKFsPBK2dvbo6amxv79++Vzubm5nDlzptp6xsbG+Pn5kZSURHJyMoMGDZKvOTg4oKWlRVpaWqV1nZycOHr0qLxxF0B6ejoqKipKK5NdXV2Jiopiz549NG3alJSUFPlaSEgI27ZtY+HChfJX/qvSoEED+WViYlJpmREjRqCiolIhUGphYSHXffIr6HXr1iUwMJDvvvuO+Ph4ebMzdXV1oGxDsHKmpqbUq1ePv/76S6kvDRo0kIOOe/bswcbGhgkTJtCqVSscHBy4dOlSlWN6ci4vX76stNIxMzOTe/fu0bhx45c6Xw0bNmTMmDH89ttv9O7dWykv8ePHj5U2rsvKyuLevXtKqT5eNkdHR44fP66UL/bJ9zGUzU9GRoZSTuD09HT09PSwtLQEygK6Hh4eTJkyhcOHD6Ourv5CuXoBWrRowfXr16lVq1aFZ12eZ/pp6urqNG7cmMzMTPmcgYEB5ubm7N27Vz73+PHjajdeq0xxcTHFxcUVckWrqqr+48D6+vXr6dGjh/yhRk2Ur9x93v60adOmwr8nqamptGnTRunciRMnsLS0rHKuBUEQBEEQBEEQBOFtIFYIC6+Unp4egYGBjB8/HiMjI0xMTIiOjkZFRUXpa/aVCQkJwcfHh5KSEjkPLpR99T0iIoLw8HDU1dXx8PDg1q1bnDx5kuDgYPz9/YmOjiYwMJCYmBhu3brFiBEjGDhwIKamply4cIFvvvmGnj17Uq9ePbKysjh79iwBAQHyPZycnGjdujUREREMHjz4H69K1tTUZMqUKYSGhj6z7OTJk2nZsiVNmjShqKiIjRs3yoFPExMTtLS02Lp1K5aWlmhqamJgYMCUKVMYOXIkBgYGeHt7U1RUxIEDB7h79y5jx47FwcGB7OxsVq1ahZubG5s2bapRULJLly44Ozvj7+9PfHw8jx8/Zvjw4Xh6eiqlF/gn8/XgwQPGjx/PBx98gJ2dHVeuXGH//v306dNHLqOmpsaIESP48ssvqVWrFmFhYbRu3bpCCoeXacCAAUyYMIGhQ4cSGRlJdna2vEq7/L07fPhw4uPjGTFiBGFhYWRlZREdHc3YsWNRUVFh7969pKWl0bVrV0xMTNi7dy+3bt164UB2ly5daNOmDX5+fsyZM4eGDRty7do1Nm3axPvvv19lygcvLy92797N6NGj5XOjRo0iNjYWBwcHGjVqxLx587h3755SvYKCAs6dOycfX7hwgSNHjmBkZIS1tTX6+vp4enoyfvx4tLS0sLGxYefOnSxfvpx58+bJ9aKiorh69apS2ojMzEwePXrEnTt3yM/Pl1eON2/eHIANGzYwdepUpf7cuXOH7Oxsrl27BiBvAGhmZoaZmRmNGjWiQYMGfPLJJ8ydOxdjY2PWrVtHamoqGzdulNsJCAjAwsJCThsxbNgwEhMTCQ8PZ/Dgwfz+++/88MMPbNq0Sen+u3btUtosTxAE4W10MbbHm+6CIAiCIAiC8KZJgvCK5eXlSQMGDJC0tbUlMzMzad68eZK7u7sUGRkpl7GxsZHmz5+vVK+0tFSysbGRunfvXqHNkpISafr06ZKNjY2kpqYmWVtbSzNnzpSvHzt2TOrYsaOkqakpGRkZSUOGDJHy8/MlSZKk69evS35+fpK5ubmkrq4u2djYSJMnT5ZKSkqU7rFkyRIJkPbt26d0fvv27RIg3b17t8oxJyUlSQYGBkrnHj9+LDVu3FgCpO3bt1dZd9q0aZKTk5OkpaUlGRkZSb169ZL++usv+frixYslKysrSUVFRfL09JTPr1y5UmrevLmkrq4u1a5dW3r33Xeln3/+Wb4+fvx4ydjYWNLV1ZX69+8vzZ8/X6mP0dHRkouLS4X+XLp0SerZs6eko6Mj6enpSX379pWuX79eodyLzldRUZH04YcfSlZWVpK6urpUr149KSwsTHrw4IEkSf9vLn/66SfJ3t5e0tDQkLp06SJdunSp2r7Pnz9fsrGxkY89PT2lUaNGyceVvedcXFyk6Oho+Tg9PV1q1qyZpK6uLrVs2VJKSUmRAOn06dNymR07dkhubm6Surq6ZGZmJkVEREjFxcWSJElSZmam5OXlJdWtW1fS0NCQGjZsKC1YsECuGxgYKPXq1avKPkqSJPXq1UsKDAyUj/Py8qQRI0ZI9erVk9TU1CQrKyvJ399fys7OrnR+JUmSTp48KWlpaUn37t2TzxUXF0ujRo2S9PX1JUNDQ2ns2LFSQECAUn/Kn93Tryf7k5OTIwUFBUn16tWTNDU1JUdHRykuLk4qLS1VGueT71VJKpv/ytqWJEk6d+6cpKGhIRUUFCjVSUpKqrTOk8/szJkzUu/evSUTExNJW1tbatasmbR8+XKldjw9PZXGUD7W8t8fe3t7KSkpSen6gwcPJAMDAykjI6PKeX5abm6uBEi5ubk1riMIgiAIgiAIgiAIL6qmf4cqJOmJ7zoLwmtw//59LCwsiIuLIzg4uMpyBQUFWFhYyLlpX7dp06bx448/cuzYsdd+77fRq5qv5ORkRo8eXWH16puwcuVKBg0aRG5u7kvJZf069e3blxYtWhAVFfWmu/JM8+bNY9u2bWzevPlNd0X21VdfsXbtWn777bca18nLy8PAwIDc3NxK84sLgiAIgiAIgiAIwstU079DRcoI4ZU7fPgwp0+fxt3dndzcXPlr4L169aq0fGlpKbdv3yYuLg5DQ0N69uz5OrtLQUEBFy9eJDExkenTp7/We7+N/svztXz5cuzt7bGwsODo0aNERETQr1+/ty4YDPDFF1/wyy+/vOlu1IilpeW/LnCtpqbGggUL3nQ3BEEQBEEQBEEQBOEfEwFh4bWYO3cuWVlZqKur07JlS3bt2lXlxkzZ2dnY2dlhaWlJcnIytWq93rdpWFgY33//PX5+fgwePPi13vtt9F+er+vXrzN58mSuX7+Oubk5ffv2ZcaMGW+6Wy/E1taWESNGvOlu1Ei/fv3edBcqCAkJedNdEARBEARBEARBEISXQqSMEF4pW1tbRo8erbSZ1b/Vjh076NixI3fv3sXQ0PBNd6dKHTp0oHnz5sTHx79wG68rDcPrmNOYmBjWrVsnb0pWmZcxZy9bUFAQ9+7dY926da/8XkuWLGH16tXVpjt4nf1523z44Ye4ubnx2WefPVc9kTJCEARBEARBEARBeJ1q+neoymvskyC89ZKTk1EoFHh7eyudv3fvHgqFgh07dryZjj2n/v37c+bMGfk4JiaG5s2bv7kOvWI///wz06ZNe9PdUJKQkEBycvIrv8/Dhw+ZNGkS0dHRz1Xvjz/+wNfXl3r16qFQKCoNFBcUFBAWFoalpSVaWlo0btyYRYsWPbM/QUFBODs7U6tWLfz8/Kosu2zZMtq1aweUPcOuXbtibGyMQqGo8gOAjIwMOnXqhI6ODvr6+rz77rs8ePCg2j7t2LGDFi1aoKGhQYMGDSo8l4kTJzJjxgxyc3OrbUcQBEEQBEEQBEEQ3gYiZYQgPKdatWqxbds2tm/fTseOHd90d16IlpbWW5kH90UZGRm96S5UYGBg8Frus2bNGvT19fHw8Hiuevfv38fFxYXBgwdXuanj2LFj+f333/nuu++wtbXlt99+Y/jw4dSrV6/K3N8lJSVoaWkxcuRIfvrpp2r7sH79ermd+/fv065dO/r168eQIUMqLZ+RkYG3tzdRUVEsWLCAWrVqcfToUVRUqv7s88KFC/To0YNhw4axcuVK0tLSCAkJwdzcHC8vLwCaNm1K/fr1+e677wgNDa22z4IgCP92tpGb3nQXhOd0MbbHm+6CIAiCIAj/MWKFsPDC8vPz8ff3R0dHB3Nzc+bPn0+HDh2qTA8xePBgfHx8lM4VFxdjYmLCkiVLgLIN5ebMmUODBg3Q0NDA2tpaKWfr8ePH6dSpE1paWhgbGzN06FAKCgrk6zt27MDd3R0dHR0MDQ3x8PDg0qVLXLx4ERUVFQ4cOKB0//j4eGxsbCgtLa3xuHV0dBg8eDCRkZE1rlPeN4VCwaZNm2jWrBmampq0bt2aEydOyGX+/vtvPvroIywsLNDW1sbZ2Znvv/++2nZtbW2ZPn06AQEB6OrqYmNjw4YNG7h16xa9evVCV1eXZs2aKY09OTlZTuGQnJzMlClTOHr0KAqFAoVCIa+QzM7OltvQ19enX79+3LhxA+ClzenRo0fp2LEjenp66Ovr07JlS7nN8n6uW7cOBwcHNDU18fLy4vLlyxXaWbFiBba2thgYGPDhhx+Sn58vX3v6fWlra8vMmTMZPHgwenp6WFtb88033yi1t2fPHpo3b46mpiatWrVi3bp1FVam7ty5E3d3dzQ0NDA3NycyMpLHjx/L19esWYOzs7P8fu3SpQv3798HylI0PLk6tkOHDowcOZLw8HCMjIwwMzMjJiZGqU/37t0jJCSEunXroq+vT6dOnTh69Gi187tq1Sp8fX2VzpWUlDB27FgMDQ0xNjYmPDycp7MHdevWjenTp/P+++9X2faePXsIDAykQ4cO2NraMnToUFxcXNi3b1+VdXR0dPjqq68YMmQIZmZmVZZ7+PAhv/32mxwQHjhwIJMnT6ZLly5V1hkzZgwjR44kMjKSJk2a4OjoSL9+/dDQ0KiyzqJFi7CzsyMuLg4nJyfCwsL44IMPmD9/vlI5X19fVq1aVWU7giAIgiAIgiAIgvC2EAFh4YWNHTuW9PR0NmzYQGpqKrt27eLQoUNVlg8JCWHr1q3k5OTI5zZu3EhhYSH9+/cHICoqitjYWCZNmkRmZiYpKSmYmpoCZSsEvby8qF27Nvv37+fHH39k27ZthIWFAfD48WP8/Pzw9PTk2LFjZGRkMHToUBQKBba2tnTp0oWkpCSlPiUlJREUFFTtCsLKxMTEcPz4cdasWfNc9QDGjx9PXFwc+/fvp27duvj6+lJcXAyUBcFatmzJpk2bOHHiBEOHDmXgwIHVBtgA5s+fj4eHB4cPH6ZHjx4MHDiQgIAAPv74Yw4dOkT9+vUJCAioEPSDsvQRn332GU2aNCEnJ4ecnBz69+9PaWkpvXr14s6dO+zcuZPU1FT++usv+Vm9rDn19/fH0tKS/fv3c/DgQSIjI1FTU5OvFxYWMmPGDJYvX056ejr37t3jww8/VGrj/PnzrFu3jo0bN7Jx40Z27txJbGxstfeNi4ujVatWHD58mOHDh/Ppp5+SlZUFlOXc8fX1xdnZmUOHDjFt2jQiIiKU6l+9epXu3bvj5ubG0aNH+eqrr1iyZAnTp08HICcnh48++ojBgwdz6tQpduzYQe/evSt9BuWWLVuGjo4Oe/fuZc6cOUydOpXU1FT5et++fbl58yZbtmzh4MGDtGjRgs6dO3Pnzp0q29y9ezetWrWqMPbk5GSWLl3K7t27uXPnDmvXrq12virTtm1bNmzYwNWrV5Ekie3bt3PmzBm6du0qlwkKCqJDhw7P3XZaWhoWFhY0atSoRuVv3rzJ3r17MTExoW3btpiamuLp6cnu3buVynXo0IGgoCD5OCMjo0KQ2cvLi4yMDKVz7u7u7Nu3j6Kioir7UFRURF5entJLEARBEARBEARBEP5tREBYeCH5+fksW7aMuXPn0rlzZ5o2bUpSUhIlJSVV1mnbti2Ojo6sWLFCPpeUlETfvn3R1dUlPz+fhIQE5syZQ2BgIPXr16ddu3aEhIQAkJKSwsOHD1m+fDlNmzalU6dOJCYmsmLFCm7cuEFeXh65ubn4+PhQv359nJycCAwMxNraGigLSH///fdyQOfQoUMcP36cQYMGPff469Wrx6hRo5gwYYLSitCaiI6O5r333sPZ2Zlly5Zx48YNORhnYWHBuHHjaN68Ofb29owYMQJvb29++OGHatvs3r07n3zyCQ4ODkyePJm8vDzc3Nzo27cvDRs2JCIiglOnTsmre5+kpaWFrq4utWrVwszMDDMzM7S0tEhLS+P48eOkpKTQsmVL3nnnHZYvX87OnTvZv38/8HLmNDs7my5dutCoUSMcHBzo27cvLi4u8vXi4mISExNp06YNLVu2ZNmyZezZs0cpSF5aWkpycjJNmzalffv2DBw4kLS0tGfO2fDhw2nQoAERERHUqVOH7du3A2XvNYVCweLFi2ncuDHdunVj/PjxSvUXLlyIlZUViYmJNGrUCD8/P6ZMmUJcXBylpaXk5OTw+PFjevfuja2tLc7OzgwfPhxdXd0q+9SsWTOio6NxcHAgICCAVq1ayePYvXs3+/bt48cff6RVq1Y4ODgwd+5cDA0Nq/xg4t69e+Tm5lKvXj2l8/Hx8URFRdG7d2+cnJxYtGjRC6WwWLBgAY0bN8bS0hJ1dXW8vb353//+x7vvviuXMTc3l38Hn8eT6SJq4q+//gLKPqwZMmQIW7dulQPmZ8+elctZW1tjbm4uH1+/fl3+0KmcqakpeXl5SrmH69Wrx6NHj7h+/XqVfZg1axYGBgbyy8rKqsb9FwRBEARBEARBEITXRQSEhRfy119/UVxcjLu7u3zOwMAAR0fHauuFhITIK0pv3LjBli1bGDx4MACnTp2iqKiIzp07V1r31KlTuLi4oKOjI5/z8PCgtLSUrKwsjIyMCAoKwsvLC19fXxISEpRWI/v5+aGqqioHX5OTk+nYsSO2traV3k9XV1d+DRs2rML1iIgIbt26xdKlSytc69atm1y3SZMmStfatGkj/2xkZISjoyOnTp0Cyr7KP23aNJydnTEyMkJXV5dff/2V7OzsSvtYrlmzZvLP5cEtZ2fnCudu3rxZbTtPOnXqFFZWVkpBrcaNG2NoaCj392XM6dixYwkJCaFLly7ExsZy/vx5pTq1atXCzc1NPm7UqJFSH6BstbKenp58bG5u/syxPjlnCoUCMzMzuU5WVpac1qPck+/18vlp06YNCoVCPufh4UFBQQFXrlzBxcWFzp074+zsTN++fVm8eDF3796tcZ+eHsfRo0cpKCjA2NhYaR4vXLhQYc7KlQc0nxxHbm4uOTk5vPPOO/K5WrVqVVhFXBMLFizgzz//ZMOGDRw8eJC4uDhCQ0PZtm2bXGbWrFksX778udqVJIlffvnluQLC5SlKPvnkEwYNGoSrqyvz58/H0dFR6Xd0+fLlzJo167n6A8g5twsLC6ssExUVRW5urvyqLLWJIAiCIAiCIAiCILxpYlM54bUKCAggMjKSjIwM9uzZg52dHe3btwd4KZucJSUlMXLkSLZu3crq1auZOHEiqamptG7dGnV1dQICAkhKSqJ3796kpKSQkJBQZVtP5orV19evcN3Q0JCoqCimTJlSITfyt99+Kwfjnkx/8CxffPEFCQkJxMfH4+zsjI6ODqNHj+bRo0fV1nvyHuUBysrOPU+u5Jp4GXMaExPDgAED2LRpE1u2bCE6OppVq1ZVm7v2aU/PsUKheOZYX6TO81BVVSU1NZU9e/bw22+/sWDBAiZMmMDevXuxs7N77j4VFBRgbm7Ojh07KtQrzwf9NGNjYxQKxTMD0S/iwYMHfP7556xdu5YePco2u2nWrBlHjhxh7ty51eb6fZZ9+/bx+PFj2rZtW+M65at+GzdurHTeycmp2g9UzMzMKqycv3HjBvr6+kr/JpWn5ahbt26VbWloaFSbr1gQBEEQBEEQBEEQ/g3ECmHhhdjb26OmpianDoCylYdnzpyptp6xsTF+fn4kJSWRnJyslFrAwcFBTlVQGScnJ44ePSpvygWQnp6OioqK0spkV1dXoqKi2LNnD02bNiUlJUW+FhISwrZt21i4cKH8df6qNGjQQH6ZmJhUWmbEiBGoqKhUCIJaWFjIdW1sbJSu/fnnn/LPd+/e5cyZMzg5Ocnj6dWrFx9//DEuLi7Y29s/c05fBnV19QrpPpycnLh8+bLSKsfMzEzu3bunFHR7GXPasGFDxowZw2+//Ubv3r2V8hI/fvxYaeO6rKws7t27J8/Zq+Do6Mjx48eV8sU++V6HsvnJyMhQygmcnp6Onp4elpaWQFlA18PDgylTpnD48GHU1dVfKFcvQIsWLbh+/Tq1atVSmscGDRpQp06dSuuoq6vTuHFjMjMz5XMGBgaYm5uzd+9e+dzjx485ePDgc/WnuLiY4uLiCrmiVVVV/3Fgff369fTo0QNVVdUa17G1taVevXpyHuhyZ86cqfA7+KQ2bdpU+DcnNTVVaSU/wIkTJ7C0tKxyrgVBEARBEARBEAThbSFWCAsvRE9Pj8DAQMaPH4+RkREmJiZER0ejoqKi9BX6yoSEhODj40NJSQmBgYHyeU1NTSIiIggPD0ddXR0PDw9u3brFyZMnCQ4Oxt/fn+joaAIDA4mJieHWrVuMGDGCgQMHYmpqyoULF/jmm2/o2bOnHBg6e/YsAQEB8j2cnJxo3bo1ERERDB48+B+vStbU1GTKlCmEhobWuM7UqVMxNjbG1NSUCRMmUKdOHfz8/ICyoPiaNWvYs2cPtWvXZt68edy4caPCqseXzdbWlgsXLnDkyBEsLS3R09OjS5cuODs74+/vT3x8PI8fP2b48OF4enoqpRf4J3P64MEDxo8fzwcffICdnR1Xrlxh//799OnTRy6jpqbGiBEj+PLLL6lVqxZhYWG0bt26QgqHl2nAgAFMmDCBoUOHEhkZSXZ2NnPnzgX+32rr4cOHEx8fz4gRIwgLCyMrK4vo6GjGjh2LiooKe/fuJS0tja5du2JiYsLevXu5devWCweyu3TpQps2bfDz82POnDk0bNiQa9eusWnTJt5///0qUz54eXmxe/duRo8eLZ8bNWoUsbGxODg40KhRI+bNm8e9e/eU6hUUFHDu3Dn5uPz9YWRkhLW1Nfr6+nh6ejJ+/Hi0tLSwsbFh586dLF++nHnz5sn1oqKiuHr1qlLaiMzMTB49esSdO3fIz8+XV443b94cgA0bNjB16lSl/ty5c4fs7GyuXbsGIAd+y/NeKxQKxo8fT3R0NC4uLjRv3pxly5Zx+vRppRzLAQEBWFhYyGkjhg0bRmJiIuHh4QwePJjff/+dH374gU2bNindf9euXUqb5QmCILytLsb2eNNdEARBEARBEN4wERAWXti8efMYNmwYPj4+6OvrEx4ezuXLl5XylVamS5cumJub06RJkwqbXU2aNIlatWoxefJkrl27hrm5uZxrVltbm19//ZVRo0bh5uaGtrY2ffr0kYNP2tranD59mmXLlvH3339jbm5OaGgon3zyidI9goOD2bNnj5y7+J8KDAwkLi5OaRVmdWJjYxk1ahRnz56lefPm/PLLL6irqwMwceJE/vrrL7y8vNDW1mbo0KH4+fmRm5v7UvpalT59+vDzzz/TsWNH7t27R1JSEkFBQaxfv54RI0bw7rvvoqKigre3NwsWLKhQ/0XnVFVVlb///puAgABu3LhBnTp16N27N1OmTJHLaGtrExERwYABA7h69Srt27dnyZIl/3jM1dHX1+eXX37h008/pXnz5jg7OzN58mQGDBggv78tLCzYvHkz48ePx8XFBSMjI4KDg5k4caLcxh9//EF8fDx5eXnY2NgQFxdHt27dXqhPCoWCzZs3M2HCBAYNGsStW7cwMzPj3XffrbAp2pOCg4Np1aoVubm58sZxn332GTk5OQQGBqKiosLgwYN5//33ld5nBw4coGPHjvLx2LFjgbL3e3JyMgCrVq0iKioKf39/7ty5g42NDTNmzFDKuZ2Tk1MhZUP37t25dOmSfOzq6gqU5Q4+f/48586dw8vLS6nOhg0blL5R8OGHHwJlmzTGxMQAMHr0aB4+fMiYMWO4c+cOLi4upKamUr9+fbledna20qpmOzs7Nm3axJgxY0hISMDS0pJvv/1W6f4PHz5k3bp1bN26tcp5FgRBEARBEARBEIS3hUJ68vvOgvAP3L9/HwsLC+Li4ggODq6yXEFBARYWFnLe2ddt2rRp/Pjjjxw7duy13nfHjh107NiRu3fvVpnz9W31quY0OTmZ0aNHV1i9+iasXLmSQYMGkZub+1LyXb9Offv2pUWLFkRFRb3prjzTvHnz2LZtG5s3b37TXZF99dVXrF27lt9+++256uXl5WFgYEBubm6lecgFQRAEQRAEQRAE4WWq6d+hYoWw8MIOHz7M6dOncXd3Jzc3V/6Kd69evSotX1payu3bt4mLi8PQ0JCePXu+zu5SUFDAxYsXSUxMZPr06a/13v9V/+U5Xb58Ofb29lhYWHD06FEiIiLo16/fWxcMhrLNCn/55Zc33Y0asbS0/NcFrtXU1CpdGS8IgiAIgiAIgiAIbyMREBb+kblz55KVlYW6ujotW7Zk165dVW66lJ2djZ2dHZaWliQnJ1Or1ut9+4WFhfH999/j5+f30tJF/F/3X57T69evM3nyZK5fv465uTl9+/ZlxowZb7pbL8TW1pYRI0a86W7USL9+/d50FyoICQl5010QBEEQBEEQBEEQhJdGpIz4P8bW1pbRo0crbTD1b/WqUyy8rPbfljm9ePEidnZ2HD58WN6862WrSYqHoKAg7t27x7p1615JH55HTEwM69atkzc1exV9e/oer1JaWhphYWGcOHECVVXVN96ft8mjR49o2LAha9asqXKDvuclUkYIgiAIgiAIgiAIr1NN/w5VqfKKILwFkpOTUSgUeHt7K52/d+8eCoWCHTt2vJmOCVVKSEiQNyX7t3kVfRs3bhxpaWkvtc2qhIeHM3HixCqDwZU5efIkffr0wdbWFoVCQXx8fIUyJSUlTJo0CTs7O7S0tKhfvz7Tpk2jus8Tjx49ykcffYSVlRVaWlo4OTmRkJBQadlly5bRrl07iouLiYiIwNnZGR0dHerVq0dAQADXrl2Ty168eJHg4GClvkRHR/Po0aNnjvV///sftra2aGpq8s4777Bv3z75mrq6OuPGjSMiIqLSuh06dHhm+4IgCIIgCIIgCILwNhApI4S3Xq1atdi2bRvbt2+nY8eOb7o7wjMYGBi86S5U6VX0TVdXF11d3Zfe7tN2797N+fPn6dOnz3PVKywsxN7enr59+zJmzJhKy8yePZuvvvqKZcuW0aRJEw4cOMCgQYMwMDBg5MiRldY5ePAgJiYmfPfdd1hZWbFnzx6GDh2KqqoqYWFhSmXXr19Pz549KSws5NChQ0yaNAkXFxfu3r3LqFGj6NmzJwcOHADg9OnTlJaW8vXXX9OgQQNOnDjBkCFDuH//PnPnzq1ynKtXr2bs2LEsWrSId955h/j4eLy8vMjKysLExAQAf39/PvvsM06ePEmTJk04c+YMhw4d4sMPP5TbOXToENeuXcPHx+e55lkQBOHfwjZy05vugvAPXYzt8aa7IAiCIAjCW06sEP4Pyc/Px9/fHx0dHczNzZk/fz4dOnSoMpXB4MGDKwQ1iouLMTExYcmSJUDZRnBz5syhQYMGaGhoYG1trZRH9fjx43Tq1AktLS2MjY0ZOnQoBQUF8vUdO3bg7u6Ojo4OhoaGeHh4cOnSJS5evIiKiooc5CkXHx+PjY0NpaWlNR63jo4OgwcPJjIyssZ1npSenk6zZs3Q1NSkdevWnDhxQun67t27ad++PVpaWlhZWTFy5Eju37+vVKawsJDBgwejp6eHtbU133zzjdL1y5cv069fPwwNDTEyMqJXr15cvHhRvh4UFISfnx9z587F3NwcY2NjQkNDKS4ulsvcvXuXgIAAateujba2Nt26dePs2bMA3L9/H319fdasWaN033Xr1qGjo0N+fn6N5uLSpUv4+vpSu3ZtdHR0aNKkCZs3bwbKnqVCoWDTpk3VzhfAr7/+ipOTE7q6unh7e5OTk1NhrOU6dOjAyJEjCQ8Px8jICDMzM2JiYpTaO336NO3atUNTU5PGjRuzbds2FAqFUmqHiIgIGjZsiLa2Nvb29kyaNElp/gBiY2MxNTVFT0+P4OBgHj58qHT96b6VlpYya9YseTWqi4uL0hyXz0laWhqtWrVCW1ubtm3bkpWVJZeJiYlRStFRk2ddVFTEuHHjsLCwQEdHh3feeeeZq91XrVrFe++9h6am5nON2c3NjS+++IIPP/wQDQ2NStves2cPvXr1okePHtja2vLBBx/QtWtXpRW2Txs8eDAJCQl4enpib2/Pxx9/zKBBg/j555+Vyj18+JDffvuNnj17YmBgQGpqKv369cPR0ZHWrVuTmJjIwYMHyc7OBsDb25ukpCS6du2Kvb09PXv2ZNy4cRXafdq8efMYMmQIgwYNonHjxixatAhtbW2WLl0ql6lduzYeHh6sWrUKgDp16rB9+3b69evHvXv3mDx5MlFRUdjb21d7L0EQBEEQBEEQBEH4NxMB4f+QsWPHkp6ezoYNG0hNTWXXrl0cOnSoyvIhISFs3bpVKVi3ceNGCgsL6d+/PwBRUVHExsYyadIkMjMzSUlJwdTUFCgLQnp5eVG7dm3279/Pjz/+yLZt2+TVf48fP8bPzw9PT0+OHTtGRkYGQ4cORaFQYGtrS5cuXUhKSlLqU1JSEkFBQaioPN9bMyYmhuPHj1cIiNbE+PHjiYuLY//+/dStWxdfX185OHf+/Hm8vb3p06cPx44dY/Xq1ezevbvCCse4uDhatWrF4cOHGT58OJ9++qkcFCwuLsbLyws9PT127dpFenq6HCh98mvu27dv5/z582zfvp1ly5aRnJyslL4gKCiIAwcOsGHDBjIyMpAkie7du1NcXIyOjg4ffvhhpfP5wQcfoKenV6O5CA0NpaioiD/++IPjx48ze/bsCqtbq5svKAuOz507lxUrVvDHH3+QnZ3NuHHjqr3vsmXL0NHRYe/evcyZM4epU6eSmpoKlKUr8PPzQ1tbm7179/LNN98wYcKECm3o6emRnJxMZmYmCQkJLF68mPnz58vXf/jhB2JiYpg5cyYHDhzA3NychQsXVtuvWbNmsXz5chYtWsTJkycZM2YMH3/8MTt37lQqN2HCBOLi4jhw4AC1atV65gZ7z3rWYWFhZGRksGrVKo4dO0bfvn3x9vaWPwCozK5duyrkvn2RMVembdu2pKWlcebMGaAsHcTu3bvp1q2bXCYmJgZbW9tq28nNzcXIyEjpXFpaGhYWFjRq1KjKOgqFoto835W1q1Ao5Dl99OgRBw8epEuXLvJ1FRUVunTpQkZGhlI9d3d3du3aBYCRkRFff/01Xbp04ejRo5w/f55ff/2Vxo0bV9qPoqIi8vLylF6CIAiCIAiCIAiC8G8jUkb8R+Tn57Ns2TJSUlLo3LkzUBYMrFevXpV12rZti6OjIytWrCA8PFyu07dvX3R1dcnPzychIYHExEQCAwMBqF+/Pu3atQMgJSWFhw8fsnz5cnR0dABITEzE19eX2bNno6amRm5uLj4+PtSvXx8AJycn+f4hISEMGzaMefPmoaGhwaFDhzh+/Djr169/7vHXq1ePUaNGMWHCBKUVnjURHR3Ne++9B5QFJi0tLVm7di39+vVj1qxZ+Pv7y6usHRwc+PLLL/H09OSrr76SV2N2796d4cOHA2UrVefPn8/27dtxdHRk9erVlJaW8u2336JQKOR5NjQ0ZMeOHXTt2hUoW52YmJiIqqoqjRo1okePHqSlpTFkyBDOnj3Lhg0bSE9Pp23btgCsXLkSKysr1q1bR9++fQkJCaFt27bk5ORgbm7OzZs32bx5M9u2bavxXGRnZ9OnTx+cnZ0BKl0JWd18QVkAfNGiRfIzDwsLY+rUqdXet1mzZkRHR8tznJiYSFpaGu+99x6pqamcP3+eHTt2YGZmBsCMGTPkPpSbOHGi/LOtrS3jxo1j1apV8ns7Pj6e4OBggoODAZg+fTrbtm2rsGK2XFFRETNnzmTbtm20adNGno/du3fz9ddf4+npKZedMWOGfBwZGUmPHj14+PBhhdW65ap71tnZ2SQlJZGdnS3//o4bN46tW7eSlJTEzJkzK23z0qVLFX7fn3fMVYmMjCQvL49GjRqhqqpKSUkJM2bMwN/fXy5Tp04d+ZlXZs+ePaxevZpNm5S/qlyeLqIyDx8+JCIigo8++qjKZPjnzp1jwYIFFdJFODo6yilAbt++TUlJifxhVjlTU1NOnz6tdK5evXpcunQJKFuVP2HCBG7fvo2Liwv169enW7duxMfH4+joWKEvs2bNYsqUKVXOgSAIgiAIgiAIgiD8G4gVwv8Rf/31F8XFxbi7u8vnDAwMKg1aPCkkJEReVXrjxg22bNkir248deoURUVFcoD5aadOncLFxUUOBgN4eHhQWlpKVlYWRkZGBAUF4eXlha+vLwkJCUqrkf38/FBVVWXt2rVA2QZxHTt2rHKVYXkuVl1dXYYNG1bhekREBLdu3VL6Cni5bt26yXWbNGmidK082AdlKwIdHR05deoUULYSMjk5WeneXl5elJaWcuHCBbles2bN5J8VCgVmZmbcvHlTbuPcuXPo6enJbRgZGfHw4UPOnz8v12vSpInSZmDlQd3yua5VqxbvvPOOfN3Y2Fipr+7u7jRp0oRly5YB8N1332FjY8O7775b6Xw2adJE7k/5Ss+RI0cyffp0PDw8iI6O5tixYxXqVTdfANra2kqBwSfHUZUn5+/pOllZWVhZWcnB4PKxPm316tV4eHhgZmaGrq4uEydOlNMMQNkcPjl/T4/laefOnaOwsJD33ntP6fkvX75c6bk93X9zc3OAasdc3bM+fvw4JSUlNGzYUOm+O3furHDfJz148KBCAPp5x1yVH374gZUrV5KSksKhQ4dYtmwZc+fOld9rUBb4r2rzvBMnTtCrVy+io6PlD0AAJEnil19+qTQgXFxcTL9+/ZAkia+++qrSdq9evYq3tzd9+/ZlyJAhStdOnz7N+++//9xj1dLSorCwECh7hu3bt+eHH37A0NCQqVOnMmPGDHml9NOioqLIzc2VX5cvX37u+wuCIAiCIAiCIAjCqyZWCP8fFxAQQGRkJBkZGezZswc7Ozvat28PlAVG/qmkpCRGjhzJ1q1bWb16NRMnTiQ1NZXWrVujrq5OQEAASUlJ9O7dm5SUFBISEqps68iRI/LPla0WNDQ0JCoqiilTplTIjfztt9/y4MEDANTU1Grc/4KCAj755JNKN86ytraWf366TYVCIedBLigooGXLlqxcubJCG3Xr1q1RGzUVEhLC//73PyIjI0lKSmLQoEHyquSnbd68WU71UP6sQ0JC8PLyYtOmTfz222/MmjWLuLg4RowYUeM+VDYOSZKeu87zjD0jIwN/f3+mTJmCl5cXBgYGrFq1iri4uBq38bTyXNibNm3CwsJC6drTuXaf7H/5fFfX/2e9X1RVVTl48KBS0BiodnO6OnXqcPfu3Sqv/xPjx48nMjJS3lzN2dmZS5cuMWvWLPnbA1XJzMykc+fODB06VGkVN8C+fft4/PixvOq9XHkw+NKlS/z++++V/r5fu3aNjh070rZt2wo5u59Wp04dVFVVuXHjhtL5GzduKH3QAHDnzh3599LR0bHCh2otWrSgRYsWld5HQ0OjyjzMgiAIgiAIgiAIgvBvIVYI/0fY29ujpqbG/v375XO5ublVrmQrZ2xsjJ+fH0lJSSQnJzNo0CD5moODA1paWlWu+nNycuLo0aNKG6ylp6ejoqKiFERxdXUlKiqKPXv20LRpU1JSUuRrISEhbNu2jYULF/L48WN69+5dZV8bNGggv0xMTCotM2LECFRUVCoEli0sLOS6NjY2Stf+/PNP+ee7d+9y5swZObVFixYtyMzMVLp3+UtdXb3Kvj6pRYsWnD17FhMTkwptlH+l/VmcnJx4/Pgxe/fulc/9/fffZGVlKeUz/fjjj7l06RJffvklmZmZ1QbrbGxs5H48GfC0srJi2LBh/Pzzz3z22WcsXrxYqV518/UqODo6cvnyZaVg3pPvcyhLR2BjY8OECRNo1aoVDg4O8tf+yzk5OSnNHyiP5WmNGzdGQ0OD7OzsCs/NysrqJYyscq6urpSUlHDz5s0K9306ePl0vczMTKVzzzvmqhQWFlbI662qqvrMoP3Jkyfp2LEjgYGBSptRllu/fj09evRQCnyXB4PPnj3Ltm3bMDY2rlDv6tWrdOjQgZYtW5KUlPTMnOPq6uq0bNlS6d+y0tJS0tLSKqyYPnHiBK6urhXaeNamfoIgCIIgCIIgCILwthArhP8j9PT0CAwMZPz48RgZGWFiYkJ0dDQqKipVrhAtFxISgo+PDyUlJUoBRE1NTSIiIggPD0ddXR0PDw9u3brFyZMnCQ4Oxt/fn+joaAIDA4mJieHWrVuMGDGCgQMHYmpqyoULF/jmm2/o2bMn9erVIysri7NnzxIQECDfw8nJidatWxMREcHgwYP/8apkTU1NpkyZQmhoaI3rTJ06FWNjY0xNTZkwYQJ16tSR8xBHRETQunVrwsLCCAkJQUdHh8zMTFJTU0lMTKxR+/7+/nzxxRf06tWLqVOnYmlpyaVLl/j5558JDw/H0tLymW04ODjQq1cvhgwZwtdff42enh6RkZFYWFjQq1cvuVzt2rXp3bs348ePp2vXrjVq+0mjR4+mW7duNGzYkLt377J9+/YKwd7q5utVeO+996hfvz6BgYHMmTOH/Px8eaVp+XvbwcGB7OxsVq1ahZubG5s2bZJTkZQbNWoUQUFBtGrVCg8PD1auXMnJkycrzZMMZb9T48aNY8yYMZSWltKuXTtyc3NJT09HX1//mStjX1TDhg3x9/cnICCAuLg4XF1duXXrFmlpaTRr1owePXpUWs/Ly0sphQPUbMyPHj2SA8mPHj3i6tWrHDlyBF1dXRo0aACAr68vM2bMwNramiZNmnD48GHmzZuntHleYmIia9eulYOuJ06coFOnTnh5eTF27FiuX78OlAWSy1fgbtiwQSm/dHFxMR988AGHDh1i48aNlJSUyPWMjIxQV1eXg8E2NjbMnTuXW7duyfWfDJg3atSIWbNmyWkjxo4dS2BgIK1atcLd3Z34+Hju37+v9CEYlG3ON23atGc+J0EQhLfVxdjK/x8RBEEQBEEQ/u8QK4T/Q+bNm0ebNm3w8fGhS5cueHh44OTkVOXGVuW6dOmCubk5Xl5eFTalmjRpEp999hmTJ0/GycmJ/v37y7lOtbW1+fXXX7lz5w5ubm588MEHdO7cWQ6Uamtrc/r0afr06UPDhg0ZOnQooaGhfPLJJ0r3CA4O5tGjR0rBpX8iMDCwyiBfZWJjYxk1ahQtW7bk+vXr/PLLL/Lq32bNmrFz507OnDlD+/btcXV1ZfLkydVu1vc0bW1t/vjjD6ytrenduzdOTk4EBwfz8OHDKjfKqkxSUhItW7bEx8eHNm3aIEkSmzdvrpB+4J/MZ0lJCaGhoTg5OeHt7U3Dhg1ZuHChUpnq5utVUFVVZd26dRQUFODm5kZISAgTJkwAkN/bPXv2ZMyYMYSFhdG8eXP27NnDpEmTlNrp378/kyZNIjw8nJYtW3Lp0iU+/fTTau89bdo0Jk2axKxZs+Q52bRpE3Z2dq9msP+/pKQkAgIC+Oyzz3B0dMTPz4/9+/crpSl5mr+/PydPniQrK0s+V5MxX7t2DVdXV1xdXcnJyWHu3Lm4uroSEhIil1mwYAEffPABw4cPx8nJiXHjxvHJJ58oBU5v376tlON4zZo13Lp1i++++w5zc3P55ebmBsD58+c5d+4cXl5ecp2rV6+yYcMGrly5QvPmzZXq7dmzB4DU1FTOnTtHWloalpaWSmWelJWVRW5urtJczJ07l8mTJ9O8eXOOHDnC1q1blTaay8jIIDc3lw8++KD6ByQIgiAIgiAIgiAIbzGF9KzknsJb6/79+1hYWBAXF0dwcHCV5QoKCrCwsJBz+b5u06ZN48cff6x0AzPh+a1YsYIxY8Zw7dq1lxqo3bFjBx07duTu3bsYGhq+tHZfRHp6Ou3atePcuXNKG9j9Xzd+/Hjy8vL4+uuv33RXnmnevHls27aNzZs3v+muyPr374+Liwuff/75S2kvLy8PAwMDcnNzn+vDH0EQBEEQBEEQBEF4ETX9O1SkjPgPOXz4MKdPn8bd3Z3c3Fz5q9hPphR4UmlpKbdv3yYuLg5DQ0N69uz5OrtLQUEBFy9eJDExkenTp7/We/8XFRYWkpOTQ2xsLJ988skrXbX7uq1duxZdXV0cHBw4d+4co0aNwsPDQwSDnzJhwgQWLlxIaWnpM/PqvmmWlpZERUW96W7IHj16hLOzM2PGjHnTXREEQRAEQRAEQRCEV+rfHTEQntvcuXNxcXGhS5cu3L9/n127dlGnTp1Ky2ZnZ2NqakpKSgpLly6lVq3X+/lAWFgYLVu2pEOHDkrpDWxtbYmPj3+tfXlRO3bsQKFQcO/evTfdFebMmUOjRo0wMzP7R4E2hULBunXrqryenZ2NQqHgyJEjL3yPcgMHDmTmzJnVlrG1tWXNmjWEhobSqFEjgoKCcHNzY/369f/4/v81hoaGfP7559UGg2NiYmjevPnr61QV+vXrR/v27d90N2Tq6ups3LjxX7ViWRAEQRAEQRAEQRBeBREQ/g9xdXXl4MGDFBQUcOfOHVJTU3F2dq6yvK2tLZIkcfnyZTp37vwae1omOTmZoqIiVq9ejaqq6mu//39NTEwMxcXFpKWloaur+8Lt5OTk0K1btwrnO3TogCRJL+2r70ePHmXz5s2MHDnymWXd3Nw4c+YMDx8+ZPLkyVy8eBE7O7sqg/FnzpyhV69e1KlTB319fdq1a8f27durvcfixYtp3749tWvXpnbt2nTp0oV9+/ZVWrZjx458++23HD16lI8++ggrKyu0tLRwcnIiISGhynukp6dTq1atGgVkZ8yYQdu2bdHW1n6lKTpOnjxJnz59sLW1RaFQVPphTElJCZMmTcLOzg4tLS3q16/PtGnTeFbGoZEjR9KyZUs0NDSqHfPOnTuxsrICYNasWbi5uaGnp4eJiQl+fn5KeZGfJEkS3bp1e+aHGFCz5ztx4kQiIyMpLS2tUD8oKIiLFy9Wew9BEARBEARBEARBeBuIlBGC8JZ59OjRK00HYWZm9sraftKCBQvo27fvcwevCwsL8fb2xtvbu8qV0D4+Pjg4OPD777+jpaVFfHw8Pj4+nD9/vsrx7dixg48++oi2bduiqanJ7Nmz6dq1KydPnsTCwkIud+fOHdLT01m1ahWbNm3CxMSE7777DisrK/bs2cPQoUNRVVUlLCxMqf179+4REBBA586duXHjxjPH+ejRI/r27UubNm1YsmTJc8zQ8yksLMTe3p6+fftWmS5h9uzZfPXVVyxbtowmTZpw4MABBg0ahIGBwTMD+oMHD2bv3r3V5ghfv349vr6+QFlwODQ0FDc3Nx4/fsznn39O165dyczMREdHR6lefHw8CoWiRuOsyfPt1q0bISEhbNmyhR49enDnzh2+//57hg8fLrdz/vx5/vzzT/z9/Wt0X0EQhH8b28hNb7oL/wkXY3u86S4IgiAIgiC8MLFCWHit8vPz8ff3R0dHB3Nzc+bPn0+HDh0YPXp0peUHDx6Mj4+P0rni4mJMTEzkIFlpaSlz5syhQYMGaGhoYG1tzYwZM+Tyx48fp1OnTmhpaWFsbMzQoUMpKCiQr+/YsQN3d3d0dHQwNDTEw8ODS5cucfHiRVRUVDhw4IDS/ePj47Gxsal0FWFl7t27xyeffIKpqSmampo0bdqUjRs3ytd3795N+/bt0dLSwsrKipEjR3L//n35uq2tLdOmTSMgIAB9fX2GDh0KQEREBA0bNkRbWxt7e3smTZpEcXGxXK88NcDSpUuxtrZGV1eX4cOHU1JSwpw5czAzM8PExERprqBiyoh9+/bh6uqKpqYmrVq14vDhwxXGeOLECbp164auri6mpqYMHDiQ27dvVzknJSUlrFmzRg4Clrt58ya+vr5oaWlhZ2fHypUrK9QdPXo0kZGRtG7dutK2b9++zdmzZ4mMjKRZs2Y4ODgQGxtLYWEhJ06cqLJPK1euZPjw4TRv3pxGjRrx7bffUlpaSlpamlK5TZs20aJFC0xNTRk8eDAJCQl4enpib2/Pxx9/zKBBg/j5558rtD9s2DAGDBhAmzZtquzDk6ZMmcKYMWOqXeVfE7GxsZiamqKnp0dwcDAPHz5Uuu7m5sYXX3zBhx9+iIaGRqVt7Nmzh169etGjRw9sbW354IMP6Nq1a5UrqMt9+eWXhIaGYm9vX225DRs2yDnMt27dSlBQEE2aNMHFxYXk5GSys7M5ePCgUp0jR44QFxfH0qVLnzUFQM2er6qqKt27d2fVqlUAaGpqcvXqVby9vbly5QqLFi0iKCgIOzu7Gt1TEARBEARBEARBEP6NREBYeK3Gjh1Leno6GzZsIDU1lV27dnHo0KEqy4eEhLB161ZycnLkcxs3bqSwsJD+/fsDEBUVRWxsLJMmTSIzM5OUlBRMTU0BuH//Pl5eXtSuXZv9+/fz448/sm3bNnn15uPHj/Hz88PT05Njx46RkZHB0KFDUSgU2Nra0qVLF5KSkpT6lJSURFBQUI027SotLaVbt26kp6fz3XffkZmZSWxsrJwi4/z583h7e9OnTx+OHTvG6tWr2b17d4XVpeW5oQ8fPsykSZMA0NPTIzk5mczMTBISEli8eDHz589Xqnf+/Hm2bNnC1q1b+f7771myZAk9evTgypUr7Ny5k9mzZzNx4kT27t1baf8LCgrw8fGhcePGHDx4kJiYGMaNG6dU5t69e3Tq1AlXV1cOHDjA1q1buXHjBv369atyXo4dO0Zubi6tWrVSOh8UFMTly5fZvn07a9asYeHChdy8efOZ8/wkY2NjHB0dWb58Offv3+fx48d8/fXXmJiY0LJlS7mcra0tMTExVbZTWFhIcXExRkZGSuc3bNhQ5UaNALm5uRXqJCUl8ddffxEdHV1pneTk5BqvdH0eP/zwAzExMcycOZMDBw5gbm7OwoULn7udtm3bkpaWxpkzZ4CydB+7d+9WSi0SExODra3tc7d98uRJbt68SadOnSq9npubC6A0p4WFhQwYMID//e9/Va74ftHn6+7uzq5duwDQ1tZm5syZjBo1ih07dvDnn3/y+++/07Zt2+cZoiAIgiAIgiAIgiD8q4iUEcJrk5+fz7Jly0hJSZFzFiclJVGvXr0q67Rt2xZHR0dWrFhBeHi4XKc81UB+fj4JCQkkJiYSGBgIQP369WnXrh0AKSkpPHz4kOXLl8tfN09MTMTX15fZs2ejpqZGbm4uPj4+1K9fHwAnJyf5/iEhIQwbNox58+ahoaHBoUOHOH78eI03NNu2bRv79u3j1KlTNGzYEEBpteSsWbPw9/eXV0g7ODjw5Zdf4unpyVdffYWmpiYAnTp14rPPPlNqe+LEifLPtra2jBs3jlWrVsnzBGUB6aVLl6Knp0fjxo3p2LEjWVlZbN68GRUVFRwdHZk9ezbbt2/nnXfeqdD/lJQUSktLWbJkCZqamjRp0oQrV67w6aefymUSExNxdXVV2hxu6dKlWFlZcebMGXncT7p06RKqqqqYmJjI586cOcOWLVvYt28fbm5uACxZskTpedSEQqFg27Zt+Pn5oaenh4qKCiYmJmzdupXatWvL5erXr1/lhotQtgK7Xr16dOnSRT5XVFTE1q1bqww07tmzh9WrV7Np0//7Om75auVdu3ZVuXGjgYEBjo6OzzXOmoiPjyc4OJjg4GAApk+fzrZt2yqsEn6WyMhI8vLyaNSoEaqqqpSUlDBjxgyltAl16tSRf4eex/r16/Hy8qo0DUppaSmjR4/Gw8ODpk2byufHjBlD27Ztqw3Mv8jzBahXrx6XL1+mtLSUR48eMXPmTPbu3UuHDh1o1aoVXbp04YsvvsDd3b1Cm0VFRRQVFcnHeXl51Y5dEARBEARBEARBEN4EsUJYeG3++usviouLlQIpNQmEhYSEyKt0b9y4wZYtWxg8eDAAp06doqioqMpN8U6dOoWLi4tS7lEPDw9KS0vJysrCyMiIoKAgvLy88PX1JSEhQWk1sp+fH6qqqqxduxYoW8nZsWPHGq+EPHLkCJaWlpUGRaFspWVycjK6urryy8vLi9LSUi5cuCCXe3olLcDq1avx8PDAzMwMXV1dJk6cSHZ2tlIZW1tb9PT05GNTU1MaN26stLrZ1NS0ylW4p06dolmzZnJgGqiQ8uDo0aNs375daQyNGjUCylYoV+bBgwdoaGgorYo9deoUtWrVUlrF26hRo+feUE2SJEJDQzExMWHXrl3s27cPPz8/fH19lZ5tWlpahZXY5WJjY1m1ahVr165VGvvvv/+OiYkJTZo0qVDnxIkT9OrVi+joaLp27QqUpcYYMGAAU6ZMqfI9APD+++9z+vTp5xpnTZw6dapCoL+mKSue9MMPP7By5UpSUlI4dOgQy5YtY+7cuSxbtkwuExYWViG9Rk2sX79eThfxtNDQUE6cOCGncICyFdq///57pZvfPelFni+AlpYWpaWlFBUVUVhYiKmpKVu3bsXS0pJhw4axdOlSeaX002bNmoWBgYH8Kt8oTxAEQRAEQRAEQRD+TURAWPjXCwgI4K+//iIjI4PvvvsOOzs72rdvD5QFb/6ppKQkMjIyaNu2LatXr6Zhw4b8+eefAKirqxMQEEBSUhKPHj0iJSVFDkbXxLP6V1BQwCeffMKRI0fk19GjRzl79qzSasunN9PKyMjA39+f7t27s3HjRg4fPsyECRN49OiRUjk1NTWlY4VCUem5muZDrmoMvr6+SmM4cuQIZ8+e5d133620Tp06dSgsLKzQ35fh999/Z+PGjaxatQoPDw9atGjBwoUL0dLSUgpgVmXu3LnExsby22+/0axZM6VrT+a6fVJmZiadO3dm6NChSiu38/PzOXDgAGFhYdSqVYtatWoxdepUjh49Sq1atfj999//+YBfg/HjxxMZGcmHH36Is7MzAwcOZMyYMcyaNesftZuTk8Phw4fp0aPixjxhYWFs3LiR7du3Y2lpKZ///fffOX/+PIaGhvKcAvTp04cOHTo8857VPV8o2zRQR0cHLS0tjIyMCA0NVfrgon79+nz88ceVth0VFUVubq78unz58jP7IwiCIAiCIAiCIAivm0gZIbw29vb2qKmpsX//fqytrYGy/KBnzpypMnAIZTlh/fz85MDtoEGD5GsODg5oaWmRlpZGSEhIhbpOTk4kJydz//59Oaianp4up0so5+rqiqurK1FRUbRp04aUlBR507KQkBCaNm3KwoULefz4Mb17967xmJs1a8aVK1eqTJ3QokULMjMzadCgQY3bhLLUBDY2NkyYMEE+d+nSpedqoyacnJxYsWIFDx8+lFdSlgfLy7Vo0YKffvoJW1vbKlMiPK158+ZAWSC1/OdGjRrx+PFjDh48KKeMyMrK4t69e8/V58LCQoAKOZ5VVFSeGfieM2cOM2bM4Ndff62wKluSJH755Re+++47pfMnT56kU6dOBAYGVtigT19fn+PHjyudW7hwIb///jtr1qx55ZuTOTk5sXfvXgICAuRzTz+/migsLKwwn6qqqv/ogwSAX375hbZt2yrl8ZUkiREjRrB27Vp27NhRYY4iIyMr/K47Ozszf/78CpsUPq2651vuxIkTuLq6VjifnJz8zPFoaGhUuTGfIAiCIAiCIAiCIPxbiICw8Nro6ekRGBjI+PHjMTIywsTEhOjoaFRUVJ65oVZISAg+Pj6UlJTIuYIBNDU1iYiIIDw8HHV1dTw8PLh16xYnT54kODgYf39/oqOjCQwMJCYmhlu3bjFixAgGDhyIqakpFy5c4JtvvqFnz57Uq1ePrKwszp49qxRAc3JyonXr1kRERDB48ODnWpXs6enJu+++S58+fZg3bx4NGjTg9OnTKBQKvL29iYiIoHXr1oSFhRESEoKOjg6ZmZmkpqaSmJhYZbsODg5kZ2ezatUq3Nzc2LRpk5zW4mUaMGAAEyZMYMiQIURFRXHx4kXmzp2rVCY0NJTFixfz0UcfER4ejpGREefOnWPVqlV8++238gZ6T6pbty4tWrRg9+7dckDY0dERb29vPvnkE7766itq1arF6NGjK8z39evXuX79OufOnQPg+PHj6OnpYW1tjZGREW3atKF27doEBgYyefJktLS0WLx4MRcuXFBaidq5c2fef/99Oa3A7NmzmTx5MikpKdja2nL9+nUAOQ3GwYMHKSwslPNTQ1nwsFOnTnh5eTF27Fi5jqqqKnXr1kVFRUUp9y2AiYkJmpqaSufXrl1LVFSUUtqI7Oxs7ty5Q3Z2NiUlJRw5cgSABg0aoKur++yHB4waNYqgoCBatWqFh4cHK1eu5OTJk0p5rB89ekRmZqb889WrVzly5Ai6urryBxW+vr7MmDEDa2trmjRpwuHDh5k3b57SavnExETWrl2rlDbi3LlzFBQUcP36dR48eCCPoXHjxqirq1e64jo0NJSUlBTWr1+Pnp6ePKcGBgZoaWlhZmZW6UZy1tbWSsHj532+5Xbt2iWn/BAEQfgvuhhb8VsZgiAIgiAIwv8xkiC8Rnl5edKAAQMkbW1tyczMTJo3b57k7u4uRUZGymVsbGyk+fPnK9UrLS2VbGxspO7du1dos6SkRJo+fbpkY2MjqampSdbW1tLMmTPl68eOHZM6duwoaWpqSkZGRtKQIUOk/Px8SZIk6fr165Kfn59kbm4uqaurSzY2NtLkyZOlkpISpXssWbJEAqR9+/Ypnd++fbsESHfv3q1yzH///bc0aNAgydjYWNLU1JSaNm0qbdy4Ub6+b98+6b333pN0dXUlHR0dqVmzZtKMGTOqnQ9JkqTx48dLxsbGkq6urtS/f39p/vz5koGBgXw9OjpacnFxUaoTGBgo9erVS+mcp6enNGrUKPkYkNauXSsfZ2RkSC4uLpK6urrUvHlz6aeffpIA6fDhw3KZM2fOSO+//75kaGgoaWlpSY0aNZJGjx4tlZaWVjkvCxculFq3bq10LicnR+rRo4ekoaEhWVtbS8uXL68w/ujoaAmo8EpKSpLL7N+/X+ratatkZGQk6enpSa1bt5Y2b96sdC8bGxspOjpa6biydsvLTJw4UfL391dqo6q+2NjYVDnuyp5LUlKS9PQ/x4GBgZW2vX379irHUJkZM2ZIderUkXR1daXAwEApPDxc6f4XLlyo9D6enp5ymby8PGnUqFGStbW1pKmpKdnb20sTJkyQioqKlMb19Lg9PT0rbfvChQtSQUGBpKmpKZ09e1apTmXln36+T3v6PVvZ3Dzr+UqSJF25ckVSU1OTLl++XO2c1lRubq4ESLm5uS+lPUEQBEEQBEEQBEGoTk3/DlVIkiS99CizINTQ/fv3sbCwIC4ujuDg4CrLFRQUYGFhQVJS0nOlbHhZpk2bxo8//sixY8de+73/qx48eICjoyOrV69+oY3OXrdmzZoxceJE+vXr96a7ApSlcTA2NmbLli01yp37b/Pzzz8zceJEeXXyv0FERAR3797lm2++eSnt5eXlYWBgQG5uLvr6+i+lTUEQBEEQBEEQBEGoSk3/DhUpI4TX6vDhw5w+fRp3d3dyc3OZOnUqAL169aq0fGlpKbdv3yYuLg5DQ8NKN/R6lQoKCrh48SKJiYlMnz79td77v05LS4vly5dz+/btN92VZ3r06BF9+vShW7dub7orsu3bt9OpU6e3MhgMZakaZs+e/aa7ocTExISxY8e+6W4IgiAIgiAIgiAIwislVggLr9Xhw4cJCQkhKysLdXV1WrZsybx583B2dq60/MWLF7Gzs8PS0pLk5GQ6d+78WvsbFBTE999/j5+fHykpKZXmwxUEQaiMWCEsCIIgCIIgCIIgvE41/TtUpcorgvAKuLq6cvDgQQoKCrhz5w6pqakVgsG2trbEx8fLP0uSxOXLl197MBggOTmZoqIiVq9eXWkweMeOHSgUCu7du/fa+/aqKBQK1q1bV+X1ixcvolAo5A3C/omBAwcyc+bMass8+X4Q/rmYmBh5Iz9BWevWrfnpp5/edDcEQRAEQRAEQRAE4ZUSAWFBEJTk5OS8ltQIR48eZfPmzYwcOfK56n3zzTd06NABfX39KoPxZ86coVevXtSpUwd9fX3atWvH9u3bq2335MmT9OnTB1tbWxQKRbVB6EGDBjFx4kQuXrxIcHAwdnZ2aGlpUb9+faKjo3n06JFS+WPHjtG+fXs0NTWxsrJizpw5zxznw4cPCQ0NxdjYGF1dXfr06cONGzeeWe951XTcV69e5eOPP8bY2BgtLS2cnZ05cOBAtW2PHDmSli1boqGhUW0QeufOnVhZWQEwa9Ys3Nzc0NPTw8TEBD8/P7KysuSyd+7cYcSIETg6OqKlpYW1tTUjR44kNzf3mWP98ccfadSoEZqamjg7O7N582al6xMnTiQyMpLS0tIKdYOCgrh48eIz7yEIgiAIgiAIgiAI/3Yih7AgvGUePXqEurr6K2vfzMzslbX9pAULFtC3b190dXWfq15hYSHe3t54e3sTFRVVaRkfHx8cHBz4/fff0dLSIj4+Hh8fH86fP1/l+AoLC7G3t6dv376MGTOmyvuXlJSwceNGNm3axOnTpyktLeXrr7+mQYMGnDhxgiFDhnD//n3mzp0LlH1do2vXrnTp0oVFixZx/PhxBg8ejKGhIUOHDq3yPmPGjGHTpk38+OOPGBgYEBYWRu/evUlPT3+O2Xq2moz77t27eHh40LFjR7Zs2ULdunU5e/YstWvXfmb7gwcPZu/evdVuyLh+/Xp8fX2BsuBwaGgobm5uPH78mM8//5yuXbuSmZmJjo4O165d49q1a8ydO5fGjRtz6dIlhg0bxrVr11izZk2V99izZw8fffQRs2bNwsfHh5SUFPz8/Dh06BBNmzYFoFu3boSEhLBlyxZ69OjBnTt3+P777xk+fLjczvnz5/nzzz/x9/d/5tgFQRD+jWwjN73pLvxnXIzt8aa7IAiCIAiC8ELECmHhtcrPz8ff3x8dHR3Mzc2ZP38+HTp0YPTo0ZWWHzx4MD4+PkrniouLMTExYcmSJUDZxnNz5syhQYMGaGhoYG1tzYwZM+Tyx48fp1OnTmhpaWFsbMzQoUMpKCiQr+/YsQN3d3d0dHQwNDTEw8ODS5cucfHiRVRUVCqsgoyPj8fGxqbSVYSVuXfvHp988gmmpqZoamrStGlTNm7cKF/fvXs37du3R0tLCysrK0aOHMn9+/fl67a2tkybNo2AgAD09fXlIGJERAQNGzZEW1sbe3t7Jk2aRHFxsVyvPDXA0qVLsba2RldXl+HDh1NSUsKcOXMwMzPDxMREaa6gYsqIffv24erqiqamJq1ateLw4cMVxnjixAm6deuGrq4upqamDBw4sNrN4kpKSlizZo0cBCx38+ZNfH190dLSws7OjpUrV1aoO3r0aCIjI2ndunWlbd++fZuzZ88SGRlJs2bNcHBwIDY2lsLCQk6cOFFln9zc3Pjiiy/48MMP0dDQqLLcnj17UFNTw83NDW9vb5KSkujatSv29vb07NmTcePG8fPPP8vlV65cyaNHj1i6dClNmjThww8/ZOTIkcybN6/Ke+Tm5rJkyRLmzZtHp06daNmyJUlJSezZs4c///yzynqViY2NxdTUFD09PYKDg3n48OFzj3v27NlYWVmRlJSEu7s7dnZ2dO3alfr161d77y+//JLQ0FDs7e2rLbdhwwZ5w8itW7cSFBREkyZNcHFxITk5mezsbA4ePAhA06ZN+emnn/D19aV+/fp06tSJGTNm8Msvv/D48eMq75GQkIC3tzfjx4/HycmJadOm0aJFCxITE+UyqqqqdO/enVWrVgGgqanJ1atX8fb25sqVKyxatIigoCDs7OyqHY8gCIIgCIIgCIIg/JuJgLDwWo0dO5b09HQ2bNhAamoqu3bt4tChQ1WWDwkJYevWreTk5MjnNm7cSGFhIf379wcgKiqK2NhYJk2aRGZmJikpKZiamgJw//59vLy8qF27Nvv37+fHH39k27ZthIWFAfD48WP8/Pzw9PTk2LFjZGRkMHToUBQKBba2tnTp0oWkpCSlPiUlJREUFISKyrN/fUpLS+nWrRvp6el89913ZGZmEhsbK+cjPn/+PN7e3vTp04djx46xevVqdu/eLfev3Ny5c3FxceHw4cNMmjQJAD09PZKTk8nMzCQhIYHFixczf/58pXrnz59ny5YtbN26le+//54lS5bQo0cPrly5ws6dO5k9ezYTJ05k7969lfa/oKAAHx8fGjduzMGDB4mJiWHcuHFKZe7du0enTp1wdXXlwIEDbN26lRs3btCvX78q5+XYsWPk5ubSqlUrpfNBQUFcvnyZ7du3s2bNGhYuXMjNmzefOc9PMjY2xtHRkeXLl3P//n0eP37M119/jYmJCS1btpTL2draEhMT81xtQ1nw0tfXF4VCUen13NxcjIyM5OOMjAzeffddpVXdXl5eZGVlcffuXeD/5aIuT0lw8OBBiouL6dKli1ynUaNGWFtbk5GRUeO+/vDDD8TExDBz5kwOHDiAubk5CxcufJ7hAmVjbtWqFX379sXExARXV1cWL16sVCYmJgZbW9vnbvvkyZPcvHmTTp06VXq9PBXEk3NaWRl9fX1q1fp/X3p5+vlmZGQozSeUPYen59Pd3Z1du3YBoK2tzcyZMxk1ahQ7duzgzz//5Pfff6dt27bPNUZBEARBEARBEARB+DcRKSOE1yY/P59ly5aRkpIibxCXlJREvXr1qqzTtm1bHB0dWbFiBeHh4XKd8lQD+fn5JCQkkJiYSGBgIAD169enXbt2AKSkpPDw4UOWL1+Ojo4OAImJifj6+jJ79mzU1NTIzc3Fx8dHXu3o5OQk3z8kJIRhw4Yxb948NDQ0OHToEMePH2f9+vU1GvO2bdvYt28fp06domHDhgBKqyVnzZqFv7+/vELawcGBL7/8Ek9PT7766is0NTUB6NSpE5999plS2xMnTpR/trW1Zdy4caxatUqeJygLSC9duhQ9PT0aN25Mx44dycrKYvPmzaioqODo6Mjs2bPZvn0777zzToX+p6SkUFpaypIlS9DU1KRJkyZcuXKFTz/9VC6TmJiIq6ur0uZwS5cuxcrKijNnzsjjftKlS5dQVVXFxMREPnfmzBm2bNnCvn37cHNzA2DJkiVKz6MmFAoF27Ztw8/PDz09PVRUVDAxMWHr1q1KKQ7q169PnTp1nqttKEtv8HTgvdy5c+dYsGCBnC4C4Pr16xVWlJZ/YHH9+nVq166NtrY2jo6OqKmpyefV1dUxNDSsUO/69es17mt8fDzBwcEEBwcDMH36dLZt21ZhlfCz/PXXX3z11VeMHTuWzz//nP379zNy5EjU1dXl37s6deo8c8VwZdavX4+Xl1elaVBKS0sZPXo0Hh4eclqHp92+fZtp06ZVSL/x9PO9fv26PO/lKpvPevXqcfnyZUpLS3n06BEzZ85k7969dOjQgVatWtGlSxe++OIL3N3dK/SlqKiIoqIi+TgvL+/ZEyAIgiAIgiAIgiAIr5lYISy8Nn/99RfFxcVKgRQDAwMcHR2rrRcSEiKv0r1x4wZbtmxh8ODBAJw6dYqioiI5wPy0U6dO4eLiIgeDATw8PCgtLSUrKwsjIyOCgoLw8vLC19eXhIQEpdXIfn5+qKqqsnbtWgCSk5Pp2LFjjVdCHjlyBEtLy0qDolC2sVpycjK6urryy8vLi9LSUi5cuCCXe3olLcDq1avx8PDAzMwMXV1dJk6cSHZ2tlIZW1tb9PT05GNTU1MaN26stLrZ1NS0ylW4p06dolmzZnJgGqBNmzYVxrB9+3alMTRq1AgoW6FcmQcPHqChoaG0yvbUqVPUqlVLaRVvo0aNKgRFn0WSJEJDQzExMWHXrl3s27cPPz8/fH19lZ5tWlpahZXYz3Lq1CmuXbtW6futPLVA3759GTJkyHO16+7uzunTp7GwsHiues9y6tSpCoH+p59fTZSWltKiRQtmzpyJq6srQ4cOZciQISxatEguExYWRlpa2nO3vX79ejldxNNCQ0M5ceKEnMLhaXl5efTo0YPGjRtXWO39Is8XQEtLi9LSUoqKiigsLMTU1JStW7diaWnJsGHDWLp0KWfOnKm07qxZszAwMJBf5RvlCYIgCIIgCIIgCMK/iQgIC/96AQEB/PXXX2RkZPDdd99hZ2dH+/btgbLgzT+VlJRERkYGbdu2ZfXq1TRs2FDO06qurk5AQABJSUk8evSIlJQUORhdE8/qX0FBAZ988glHjhyRX0ePHuXs2bNKqy2fDGhD2dff/f396d69Oxs3buTw4cNMmDCBR48eKZUrX3FaTqFQVHqupvmQqxqDr6+v0hiOHDnC2bNneffddyutU6dOHQoLCyv092X4/fff2bhxI6tWrcLDw4MWLVqwcOFCtLS0WLZs2T9qe8OGDbz33ntKAXKAa9eu0bFjR9q2bcs333yjdM3MzIwbN24onSs/rmqDOzMzMx49esS9e/cq1Htdm/49ydzcnMaNGyudc3JyqvABxPPKycnh8OHD9OhRcVOesLAwNm7cyPbt27G0tKxwPT8/H29vb/T09Fi7dm2F9/XTqnoOT8/nnTt30NHRQUtLCyMjI0JDQ5U+uKhfvz4ff/xxpfeIiooiNzdXfl2+fLnaPgmCIAiCIAiCIAjCmyACwsJrY29vj5qaGvv375fP5ebmVrnarpyxsTF+fn4kJSWRnJzMoEGD5GsODg5oaWlVuTLRycmJo0ePKm3Slp6eLqdLKOfq6kpUVBR79uyhadOmpKSkyNdCQkLYtm0bCxcu5PHjx/Tu3bvGY27WrBlXrlypcowtWrQgMzOTBg0aVHhV9hX6cnv27MHGxoYJEybQqlUrHBwcuHTpUo37VVNOTk4cO3ZMKcXA05uatWjRgpMnT2Jra1thDE8Hsss1b94cgMzMTPlco0aNePz4sbx5GEBWVlaFoOizFBYWAlTI8ayiovKPAt9Qtpq1V69eSueuXr1Khw4d5I3fnr5vmzZt+OOPP5Q2/EtNTcXR0VEphcWTWrZsiZqamtL7Oisri+zs7Oda4evk5FQhP/TzbkoHZavqs7KylM6dOXMGGxub527rSb/88gtt27ZVyg8sSRJhYWGsXbuW33//vdIN3PLy8ujatSvq6ups2LChQoC+Mm3atKnw70RqamqF+Txx4gSurq4V6icnJz/zmwEaGhro6+srvQRBEARBEARBEATh30bkEBZeGz09PQIDAxk/fjxGRkaYmJgQHR2NiopKlRt0lQsJCcHHx4eSkhI5ZymApqYmERERhIeHo66ujoeHB7du3eLkyZMEBwfj7+9PdHQ0gYGBxMTEcOvWLUaMGMHAgQMxNTXlwoULfPPNN/Ts2ZN69eqRlZXF2bNnCQgIkO/h5ORE69atiYiIYPDgwc+1KtnT05N3332XPn36MG/ePBo0aMDp06dRKBR4e3sTERFB69atCQsLIyQkBB0dHTIzM0lNTSUxMbHKdh0cHMjOzmbVqlW4ubmxadMmOa3FyzRgwAAmTJjAkCFDiIqK4uLFi0r5caHsa/2LFy/mo48+Ijw8HCMjI86dO8eqVav49ttv5Q30nlS3bl1atGjB7t275eCwo6Mj3t7efPLJJ3z11VfUqlWL0aNHV5jv69evc/36dc6dOwfA8ePH0dPTw9raGiMjI9q0aUPt2rUJDAxk8uTJaGlpsXjxYi5cuKC0ErVz5868//77clqBR48eyQHqR48ecfXqVY4cOYKuri4NGjTg5s2bHDhwgA0bNshtlAeDbWxsmDt3Lrdu3ZKvla88HTBgAFOmTCE4OJiIiAhOnDhBQkKCUh7iffv2ERAQQFpaGhYWFhgYGBAcHMzYsWMxMjJCX1+fESNG0KZNG1q3bl3j5zdq1CiCgoJo1aoVHh4erFy5kpMnTyrlsX7WuAHGjBlD27ZtmTlzJv369WPfvn188803SquhExMTWbt2rVLQ9dy5cxQUFHD9+nUePHjAkSNHAGjcuLEczH06XURoaCgpKSmsX78ePT09OcevgYEBWlpacjC4sLCQ7777jry8PDlXb926deX329PPd9SoUXh6ehIXF0ePHj1YtWoVBw4cqLCie9euXXTt2rXGcywIgvC2uRhb8VsZgiAIgiAIwv8xkiC8Rnl5edKAAQMkbW1tyczMTJo3b57k7u4uRUZGymVsbGyk+fPnK9UrLS2VbGxspO7du1dos6SkRJo+fbpkY2MjqampSdbW1tLMmTPl68eOHZM6duwoaWpqSkZGRtKQIUOk/Px8SZIk6fr165Kfn59kbm4uqaurSzY2NtLkyZOlkpISpXssWbJEAqR9+/Ypnd++fbsESHfv3q1yzH///bc0aNAgydjYWNLU1JSaNm0qbdy4Ub6+b98+6b333pN0dXUlHR0dqVmzZtKMGTOqnQ9JkqTx48dLxsbGkq6urtS/f39p/vz5koGBgXw9OjpacnFxUaoTGBgo9erVS+mcp6enNGrUKPkYkNauXSsfZ2RkSC4uLpK6urrUvHlz6aeffpIA6fDhw3KZM2fOSO+//75kaGgoaWlpSY0aNZJGjx4tlZaWVjkvCxculFq3bq10LicnR+rRo4ekoaEhWVtbS8uXL68w/ujoaAmo8EpKSpLL7N+/X+ratatkZGQk6enpSa1bt5Y2b96sdC8bGxspOjpaPr5w4UKl7Xp6ekqSJEnffvut5OHhodRGUlJSpXWe/qf16NGjUrt27SQNDQ3JwsJCio2NVbpe/j66cOGCfO7BgwfS8OHDpdq1a0va2trS+++/L+Xk5FQ7hsrMmDFDqlOnjqSrqysFBgZK4eHhSu+LZ4273C+//CI1bdpU0tDQkBo1aiR98803Stejo6MlGxsbpXOenp6Vtn3hwgWpoKBA0tTUlM6ePatUp6r5LH++5XNVVbvVzc0PP/wgNWzYUFJXV5eaNGkibdq0Sen6lStXJDU1Neny5cvVzmlN5ebmSoCUm5v7UtoTBEEQBEEQBEEQhOrU9O9QhSRJ0iuJNAtCDdy/fx8LCwvi4uIIDg6uslxBQQEWFhYkJSU9V8qGl2XatGn8+OOPHDt27LXf+7/qwYMHODo6snr16hfa6Ox169mzJ+3atSM8PPxNdwUoS41hbGzMli1b6NChw5vuznP7+eefmThxolLakDctIiKCu3fvVlg1/KLy8vIwMDAgNzdXpI8QBEEQBEEQBEEQXrma/h0qUkYIr9Xhw4c5ffo07u7u5ObmMnXqVIAKeVnLlZaWcvv2beLi4jA0NKzw9fJXraCggIsXL5KYmMj06dNf673/67S0tFi+fDm3b99+012pkXbt2vHRRx+96W7Itm/fTqdOnd7KYDCArq4us2fPftPdUGJiYsLYsWPfdDcEQRAEQRAEQRAE4ZUSK4SF1+rw4cOEhISQlZWFuro6LVu2ZN68eTg7O1da/uLFi9jZ2WFpaUlycjKdO3d+rf0NCgri+++/x8/Pj5SUlErz4QqCIFRGrBAWBEEQBEEQBEEQXqea/h2q8hr7JAi4urpy8OBBCgoKuHPnDqmpqVUGgwFsbW2RJInLly+/9mAwQHJyMkVFRaxevVoEg18zW1tb4uPjX9v9goKC8PPzk487dOjA6NGjq62TnJyMoaHhK+1XTEyMvPHei9qxYwcKhYJ79+69lD69TpWNPyYmBlNTUxQKBevWrXsj/RIEQRAEQRAEQRCEt5UICAuCIFTi559/Ztq0afLx6w5Qv2k1CYi/CadOnWLKlCl8/fXX5OTk0K1btxrV+yfB44sXLxIUFPRCdQVBEARBEARBEATh30bkEBYEQaiEkZHRm+6CUInz588DZXnHFQrFK73XypUrad26tfztAEmSWLhwIQMGDKB27dqv9N6CILw+tpGb3nQXXquLsT3edBcEQRAEQRCEN0ysEBYE4bXLz8/H398fHR0dzM3NmT9/frUrUgcPHoyPj4/SueLiYkxMTFiyZAlQtgHhnDlzaNCgARoaGlhbWzNjxgy5/PHjx+nUqRNaWloYGxszdOhQCgoKquzjk/3p0KEDly5dYsyYMSgUigqByF9//RUnJyd0dXXx9vYmJydHvlZaWsrUqVOxtLREQ0OD5s2bs3XrVqX6V65c4aOPPsLIyAgdHR1atWrF3r17lcqsWLECW1tbDAwM+PDDD8nPz5evFRUVMXLkSExMTNDU1KRdu3bs37+/yrH9/ffffPTRR1hYWKCtrY2zszPff/+9fD0oKIidO3eSkJAgj/fixYsAnDhxgm7duqGrq4upqSkDBw6sdmPAS5cu4evrS+3atdHR0aFJkyZs3rwZqDzlxrp166oM9MbExODr6wuAioqKXG7//v2899571KlTBwMDAzw9PTl06JBcz9bWFoD3338fhUIhHwOsX7+eFi1aoKmpib29PVOmTOHx48cA2NnZERgYyKJFi7hy5Qre3t5cvXoVDQ2NKscrCIIgCIIgCIIgCP92IiAsCMJrN3bsWNLT09mwYQOpqans2rVLKYD3tJCQELZu3aoUaN24cSOFhYX0798fgKioKGJjY5k0aRKZmZmkpKRgamoKwP379/Hy8qJ27drs37+fH3/8kW3bthEWFlaj/v78889YWloydepUcnJylPpRWFjI3LlzWbFiBX/88QfZ2dmMGzdOvp6QkEBcXBxz587l2LFjeHl50bNnT86ePQtAQUEBnp6eXL16lQ0bNnD06FHCw8MpLS2V2zh//jzr1q1j48aNbNy4kZ07dxIbGytfDw8P56effmLZsmUcOnSIBg0a4OXlxZ07dyodz8OHD2nZsiWbNm3ixIkTDB06lIEDB7Jv3z65z23atGHIkCHyeK2srLh37x6dOnXC1dWVAwcOsHXrVm7cuEG/fv2qnLvQ0FCKior4448/OH78OLNnz0ZXV7dG8/60cePGkZSUBKD0HPLz8wkMDGT37t38+eefODg40L17dzloXh4cT0pKIicnRz7etWsXAQEBjBo1iszMTL7++muSk5PlDxLatm3L9u3bycjIYMeOHYwePZqZM2eira39Qv0XBEEQBEEQBEEQhH8DkTJCEITXKj8/n2XLlpGSkiJvFJiUlES9evWqrNO2bVscHR1ZsWIF4eHhcp2+ffuiq6tLfn4+CQkJJCYmEhgYCED9+vVp164dACkpKTx8+JDly5ejo6MDQGJiIr6+vsyePVsOHFfFyMgIVVVV9PT0MDMzU7pWXFzMokWLqF+/PgBhYWFMnTpVvj537lwiIiL48MMPAZg9ezbbt28nPj6e//3vf6SkpHDr1i32798vp6lo0KCB0j1KS0tJTk5GT08PgIEDB5KWlsaMGTO4f/8+X331FcnJyXI+3cWLF5OamsqSJUsYP358hfFYWFgoBa1HjBjBr7/+yg8//IC7uzsGBgaoq6ujra2tNN7ExERcXV2ZOXOmfG7p0qVYWVlx5swZGjZsWOFe2dnZ9OnTR9480t7evtq5ro6urq68ovjJfnXq1Emp3DfffIOhoSE7d+7Ex8eHunXrAmBoaKhUb8qUKURGRsrvGXt7e6ZNm0Z4eDjR0dHs3buX8ePH07ZtW9TU1IiPjycjI4PPP/8cTU3NCv0rKiqiqKhIPs7Ly3vhsQqCIAiCIAiCIAjCqyJWCAuC8Fr99ddfFBcX4+7uLp8zMDDA0dGx2nohISHy6tAbN26wZcsWBg8eDJRtNFZUVCQHmJ926tQpXFxc5GAwgIeHB6WlpWRlZf2j8Whra8vBYABzc3Nu3rwJlAUEr127hoeHh1IdDw8PTp06BcCRI0dwdXWtNmexra2tHAx++h7nz5+nuLhY6R5qamq4u7vL93haSUkJ06ZNw9nZGSMjI3R1dfn111/Jzs6udqxHjx5l+/bt6Orqyq9GjRrJ/ajMyJEjmT59Oh4eHkRHR3Ps2LFq7/Eibty4wZAhQ3BwcMDAwAB9fX0KCgpqNJ6pU6cqjad8VXRhYSFnz54lKSmJYcOGYWlpydatWzE1NaWwsLDS9mbNmoWBgYH8srKyeuljFQRBEARBEARBEIR/SqwQFgThrRAQEEBkZCQZGRns2bMHOzs72rdvD4CWltYb65eamprSsUKhQJKkGtevSd8ru8eTKSWe1xdffEFCQgLx8fE4Ozujo6PD6NGjefToUbX1CgoK5FXVTzM3N6+0TkhICF5eXmzatInffvuNWbNmERcXx4gRI1BRUakwV8XFxc89nsDAQP7++28SEhKwsbFBQ0ODNm3a1Gg8U6ZMoXfv3hWuaWpq8vHHHwPI+ZMVCgWhoaFVthcVFcXYsWPl47y8PBEUFgRBEARBEARBEP51xAphQRBeK3t7e9TU1JQ2PcvNzeXMmTPV1jM2NsbPz4+kpCSSk5MZNGiQfM3BwQEtLS3S0tIqrevk5MTRo0e5f/++fC49PR0VFZVnrkwup66uTklJSY3KltPX16devXqkp6crnU9PT6dx48YANGvWjCNHjlSZ7/dZ6tevj7q6utI9iouL2b9/v3yPp6Wnp9OrVy8+/vhjXFxcsLe3rzD/lY23RYsWnDx5EltbWxo0aKD0enL19dOsrKwYNmwYP//8M5999hmLFy8GoG7duuTn5ys9lyNHjjzvFJCens7IkSPp3r07TZo0QUNDo8JGd2pqapWOJysrq8JYGjRogIrK//vv0dbWluTk5Gf2Q0NDA319faWXIAiCIAiCIAiCIPzbiBXCgiC8Vnp6egQGBjJ+/HiMjIwwMTEhOjoaFRUVFApFtXVDQkLw8fGhpKREzvsKZas5IyIiCA8PR11dHQ8PD27dusXJkycJDg7G39+f6OhoAgMDiYmJ4datW4wYMYKBAwc+M39wOVtbW/744w8+/PBDNDQ0qFOnTo3qjR8/nujoaOrXr0/z5s1JSkriyJEjrFy5EoCPPvqImTNn4ufnx6xZszA3N+fw4cPUq1ePNm3aPLN9HR0dPv30U3k+ra2tmTNnDoWFhQQHB1dax8HBgTVr1rBnzx5q167NvHnzuHHjhlIA2dbWlr1793Lx4kV0dXUxMjIiNDSUxYsX89FHHxEeHo6RkRHnzp1j1apVfPvtt6iqqla41+jRo+nWrRsNGzbk7t27bN++HScnJwDeeecdtLW1+fzzzxk5ciR79+6tUeC1svGsWLGCVq1akZeXx/jx4yusvLa1tSUtLQ0PDw80NDSoXbs2kydPxsfHB2traz744ANUVFQ4evQoJ06cYPr06c/dD0EQ3k4XY3u86S4IgiAIgiAIwmslVggLgvDazZs3jzZt2uDj40OXLl3w8PDAycmp0o26ntSlSxfMzc3x8vKqsAndpEmT+Oyzz5g8eTJOTk70799fzrOrra3Nr7/+yp07d3Bzc+ODDz6gc+fOJCYm1rjPU6dO5eLFi9SvX1/epKwmRo4cydixY/nss89wdnZm69atbNiwAQcHB6BsJe5vv/2GiYkJ3bt3x9nZmdjY2EqDq1WJjY2lT58+DBw4kBYtWnDu3Dl+/fVXateuXWn5iRMn0qJFC7y8vOjQoQNmZmb4+fkplRk3bhyqqqo0btyYunXrkp2dLa92LikpoWvXrjg7OzN69GgMDQ2VVtQ+qaSkhNDQUJycnPD29qZhw4YsXLgQKNus77vvvmPz5s04Ozvz/fffExMTU+Nxl1uyZAl3796lRYsWDBw4kJEjR2JiYqJUJi4ujtTUVKysrHB1dQXAy8uLjRs38ttvv+Hm5kbr1q2ZP38+NjY2z90HQRAEQRAEQRAEQXhbKKTnSXYpCILwCty/fx8LCwvi4uKqXNUKZTlfLSwsSEpKqjTvqyD8m+Tl5WFgYEBubq5IHyEIgiAIgiAIgiC8cjX9O1SkjBAE4bU7fPgwp0+fxt3dndzcXKZOnQpAr169Ki1fWlrK7du3iYuLw9DQkJ49e77O7gqCIAiCIAiCIAiCIPxniICwIAhvxNy5c8nKykJdXZ2WLVuya9euKvPyZmdnY2dnh6WlJcnJydSqJf7pEgRBEARBEARBEARBeBEih7AgCK+dq6srBw8epKCggDt37pCamoqzs3OV5W1tbZEkicuXL9O5c+dqy8XHx7+CHr8YhULBunXr/lEbHTp0YPTo0S+lP2+jp8dfWFhInz590NfXR6FQcO/evTfWN0EQBEEQBEEQBEF4G4mAsCAIglDBywhmvwrLli1j165d7Nmzh5ycHAwMDJ5ZZ8eOHf8oeJycnExycvIL1RUEQRAEQRAEQRCEfxvxvWtBEAThrXH+/HmcnJxo2rTpK7/X/PnzCQkJkY/z8/P59ttvGTNmzCu/tyAIgm3kplfS7sXYHq+kXUEQBEEQBOHtIVYIC4LwVsjPz8ff3x8dHR3Mzc2ZP39+tekUBg8ejI+Pj9K54uJiTExMWLJkCVC2Wd2cOXNo0KABGhoaWFtbM2PGDLn88ePH6dSpE1paWhgbGzN06FAKCgqU2ly6dClNmjRBQ0MDc3NzwsLClK7fvn2b999/H21tbRwcHNiwYYPS9Z07d+Lu7i7Xj4yM5PHjx1XOQ1FREePGjcPCwgIdHR3eeecdduzYIV9PTk7G0NCQX3/9FScnJ3R1dfH29iYnJ0cus3//ft577z3q1KmDgYEBnp6eHDp0SL5ua2sLwPvvv49CoZCPAdavX0+LFi3Q1NTE3t6eKVOmVNvfHTt24O7ujo6ODoaGhnh4eHDp0iUAgoKC8PPzUyo/evRoOnToUGlbHTp0IC4ujj/++AOFQiGXW7FiBa1atUJPTw8zMzMGDBjAzZs3Abh48SIdO3YEoHbt2igUCoKCgoCy5z9r1izs7OzQ0tLCxcWFNWvWyPerXbs27733Hrt372b37t2899571K5du8qxCoIgCIIgCIIgCMLbQASEBUF4K4wdO5b09HQ2bNhAamoqu3btUgpiPi0kJIStW7cqBUI3btxIYWEh/fv3ByAqKorY2FgmTZpEZmYmKSkpmJqaAnD//n28vLyoXbs2+/fv58cff2Tbtm1KAd+vvvqK0NBQhg4dyvHjx9mwYQMNGjRQ6seUKVPo168fx44do3v37vj7+3Pnzh0Arl69Svfu3XFzc+Po0aN89dVXLFmyhOnTp1c5rrCwMDIyMli1ahXHjh2jb9++eHt7c/bsWblMYWEhc+fOZcWKFfzxxx9kZ2czbtw4+Xp+fj6BgYHs3r2bP//8EwcHB7p3705+fj5QFjAGSEpKIicnRz7etWsXAQEBjBo1iszMTL7++muSk5OVguhPevz4MX5+fnh6enLs2DEyMjIYOnQoCoWiyvFV5+eff2bIkCG0adOGnJwcfv75Z6As0D9t2jSOHj3KunXruHjxohz0tbKy4qeffgIgKyuLnJwcEhISAJg1axbLly9n0aJFnDx5kjFjxvDxxx+zc+dOoCxg/cMPP7Bx40Y2btzIDz/8ILdbmaKiIvLy8pRegiAIgiAIgiAIgvBvI1JGCILwr5efn8+yZctISUmRN5VLSkqiXr16VdZp27Ytjo6OrFixgvDwcLlO37590dXVJT8/n4SEBBITEwkMDASgfv36tGvXDoCUlBQePnzI8uXL0dHRASAxMRFfX19mz56Nqakp06dP57PPPmPUqFHyfd3c3JT6ERQUxEcffQTAzJkz+fLLL9m3bx/e3t4sXLgQKysrEhMTUSgUNGrUiGvXrhEREcHkyZNRUVH+zC47O5ukpCSys7PlsY8bN46tW7eSlJTEzJkzgbIA6aJFi6hfvz5QFkSeOnWq3E6nTp2U2v3mm28wNDRk586d+Pj4ULduXQAMDQ0xMzOTy02ZMoXIyEh5vuzt7Zk2bRrh4eFER0dXeAZ5eXnk5ubi4+Mj98XJyanKZ/YsRkZGaGtro66urtSvwYMHyz/b29vz5Zdf4ubmRkFBAbq6uhgZGQFgYmKCoaEhUBa8nTlzJtu2baNNmzZy3d27d/P111/j6enJd999R2JiIj16lH29ul+/foSFhfHxxx9X2r9Zs2YxZcqUFx6fIAiCIAiCIAiCILwOYoWwIAj/en/99RfFxcW4u7vL5wwMDHB0dKy2XkhICElJSQDcuHGDLVu2yMHDU6dOUVRUJAeYn3bq1ClcXFzkYDCAh4cHpaWlZGVlcfPmTa5du1Zl/XLNmjWTf9bR0UFfX19OZ3Dq1CnatGmjtGLWw8ODgoICrly5UqGt48ePU1JSQsOGDdHV1ZVfO3fu5Pz583I5bW1tOQALYG5uLt+zfC6GDBmCg4MDBgYG6OvrU1BQQHZ2drVjOXr0KFOnTlW695AhQ8jJyaGwsLBCeSMjI4KCgvDy8sLX15eEhASlFdsvy8GDB/H19cXa2ho9PT08PT0Bqh3PuXPnKCws5L333lMaz/Lly+W5vHnzJqmpqbRv35727duTmpqqNI9Pi4qKIjc3V35dvnz55Q5UEARBEARBEARBEF4CsUJYEIT/rICAACIjI8nIyGDPnj3Y2dnRvn17ALS0tP5R2zWtr6ampnSsUCgoLS19oXsWFBSgqqrKwYMHUVVVVbqmq6tb7T0lSZKPAwMD+fvvv0lISMDGxgYNDQ3atGnDo0ePnnn/KVOm0Lt37wrXNDU1K62TlJTEyJEj2bp1K6tXr2bixImkpqbSunVrVFRUlPoFZaubn0d5ag8vLy9WrlxJ3bp1yc7OxsvLq9rxlOeC3rRpExYWFkrXNDQ0gLI0JU/S09OrcO7peuV1BUEQBEEQBEEQBOHfSgSEBUH417O3t0dNTY39+/djbW0NQG5uLmfOnOHdd9+tsp6xsTF+fn4kJSWRkZHBoEGD5GsODg5oaWmRlpZGSEhIhbpOTk4kJydz//59eZVweno6KioqODo6oqenh62tLWlpafKmZc/LycmJn376CUmS5FXC6enp6OnpYWlpWaG8q6srJSUl3Lx5Uw5sv4j09HQWLlxI9+7dAbh8+TK3b99WKqOmpkZJSYnSuRYtWpCVlVUhT/KzuLq64urqSlRUFG3atCElJYXWrVtTt25dTpw4oVT2yJEjFQLa1Tl9+jR///03sbGxWFlZAXDgwAGlMurq6gBK42ncuDEaGhpkZ2fLK4qrUl3eYEEQBEEQBEEQBEF424iAsCAI/3p6enoEBgYyfvx4jIyMMDExITo6GhUVlWduUBYSEoKPjw8lJSVy7lsoW9EaERFBeHg46urqeHh4cOvWLU6ePElwcDD+/v5ER0cTGBhITEwMt27dYsSIEQwcOFDeeC4mJoZhw4ZhYmJCt27dyM/PJz09nREjRtRoXMOHDyc+Pp4RI0YQFhZGVlYW0dHRjB07tkL+YICGDRvi7+9PQEAAcXFxuLq6cuvWLdLS0mjWrJmc6/ZZHBwcWLFiBa1atSIvL4/x48dXWPFcHuz28PBAQ0OD2rVrM3nyZHx8fLC2tuaDDz5ARUWFo0ePcuLEiUo3wrtw4QLffPMNPXv2pF69emRlZXH27FkCAgKAslzGX3zxBcuXL6dNmzZ89913nDhxAldX1xqNA8Da2hp1dXUWLFjAsGHDOHHiBNOmTVMqY2Njg0KhYOPGjXTv3h0tLS309PQYN24cY8aMobS0lHbt2pGbm0t6ejr6+vpK7xVBEIQ34WJszf5NFwRBEARBEITnJXIIC4LwVpg3bx5t2rTBx8eHLl264OHhgZOTU5WpCsp16dIFc3NzvLy8KmxCN2nSJD777DMmT56Mk5MT/fv3l3PEamtr8+uvv3Lnzh3c3Nz44IMP6Ny5M4mJiXL9wMBA4uPjWbhwIU2aNMHHx4ezZ8/WeEwWFhZs3ryZffv24eLiwrBhwwgODmbixIlV1klKSiIgIIDPPvsMR0dH/Pz8lFZO18SSJUu4e/cuLVq0YODAgYwcORITExOlMnFxcaSmpmJlZSUHaL28vNi4cSO//fYbbm5utG7dmvnz52NjY1PpfbS1tTl9+jR9+vShYcOGDB06lNDQUD755BO5vUmTJhEeHo6bmxv5+flysLim6tatS3JyMj/++CONGzcmNjaWuXPnKpWxsLCQN8QzNTUlLCwMgGnTpjFp0iRmzZqFk5MT3t7ebNq0CTs7u+fqgyAIgiAIgiAIgiC8TRTS0wkcBUEQ3gL379/HwsKCuLg4goODqyxXUFCAhYUFSUlJlea+FYRXJS8vDwMDA3Jzc9HX13/T3REEQRAEQRAEQRD+42r6d6hIGSEIwlvh8OHDnD59Gnd3d3Jzc5k6dSoAvXr1qrR8aWkpt2/fJi4uDkNDQ3r27Pk6uysIgiAIgiAIgiAIgvCvJALCgiC8NebOnUtWVhbq6uq0bNmSXbt2UadOnUrLZmdnY2dnh6WlJcnJydSqJf65EwRBEARBEARBEARBECkjBEEQ/o+ytbVl9OjRjB49+k13BQCFQsHatWvx+//Yu/e4nu//8f+3V+h8TqUiFSEJCRs5RE1spdgcG0XxNcNiFJ9JYcghp3nvFIqNMWPm47j0liVGTs2hhSzZNIelVKhUvz/8PD9eKrKZ2O7Xy+V1ufR6Pk735+P1ml26e7g//f3/9BweHh60bduWpUuXPrO4/iwpGSGEEEIIIYQQ4nmq6e+h8lA5IYQQ/1pJSUmoVCry8vJqOxQhhBBCCCGEEOK5kH9DLYQQQgghxL+E3dQdtR1CrcqKfqO2QxBCCCGEqHVyQlgIIf6hCgoKCAgIQE9PDysrK5YsWYKHh0eVJSJGjhyJj4+P2rXS0lIsLCxYtWoVcP9BfQsWLKBp06ZoaWlha2vLnDlzlP6nTp2iZ8+e6OjoYGZmxujRoyksLFSbc/Xq1Tg7O6OlpYWVlRXjxo1Ta79x4wb9+vVDV1cXR0dHtm3bpta+f/9+OnbsqIyfOnUq9+7dq3YPvvjiC9q3b4+BgQENGjRg6NChXLt2DYCsrCx69OgBgImJCSqViqCgIOVe582bh729PTo6OrRp04ZvvvnmMbsthBBCCCGEEEK8HCQhLIQQ/1CTJk0iJSWFbdu2kZCQQHJyMsePH6+yb0hICLt37yYnJ0e5tn37dm7fvs2gQYMAmDZtGtHR0URERHD27FnWr1+PpaUlAEVFRXh7e2NiYkJqaiqbNm1i7969agnfTz75hHfffZfRo0dz6tQptm3bRtOmTdXimDlzJgMHDuSnn37i9ddfJyAggNzcXAB+++03Xn/9dTp06EBaWhqffPIJq1at4sMPP6x2D0pLS5k9ezZpaWls3bqVrKwsJenbqFEjNm/eDEBGRgY5OTksW7YMgHnz5rF27Vo+/fRTzpw5w8SJE3n77bfZv39/tWsVFxdz69YttZcQQgghhBBCCPGikYfKCSHEP1BBQQFmZmasX7+et956C4D8/Hysra0ZNWoUS5curfRQOWdnZwIDAwkLCwOgb9++mJmZERcXR0FBAebm5qxYsYKQkJBK68XGxhIeHs7ly5fR09MDYOfOnfj6+nLlyhUsLS2xsbFhxIgR1SZwVSoV06dPZ/bs2cD9JLO+vj67du2id+/efPDBB2zevJn09HRUKhUAH3/8MeHh4eTn56OhofHEh8odPXqUDh06UFBQgL6+PklJSfTo0YObN29ibGwM3E/smpqasnfvXjp16qSMDQkJ4fbt26xfv77KuaOiopg5c2al6/JQOSHEi0RKRkjJCCGEEEL8c8lD5YQQ4l/s4sWLlJaW0rFjR+WakZERzZs3r3ZMSEgIcXFxAFy9epVdu3YxcuRIANLT0ykuLsbT07PKsenp6bRp00ZJBgO4u7tTXl5ORkYG165d48qVK9WOf6B169bKz3p6ehgaGiolHtLT0+nUqZOSDH6wRmFhIb/++muV8x07dgxfX19sbW0xMDCge/fuAGRnZ1cbw4ULF7h9+zavvfYa+vr6ymvt2rVkZmZWO27atGnk5+crr8uXLz/2XoUQQgghhBBCiNogD5UTQggBwPDhw5k6dSqHDh3i4MGD2Nvb07VrVwB0dHT+0tw1HV+vXj219yqVivLy8j+15oMyFt7e3qxbtw5zc3Oys7Px9vampKSk2nEP6h7v2LEDGxsbtTYtLa1qx2lpaT22XQghhBBCCCGEeBHICWEhhPgHcnBwoF69eqSmpirX8vPzOXfuXLVjzMzM8Pf3Jy4ujvj4eEaMGKG0OTo6oqOjQ2JiYpVjnZycSEtLo6ioSLmWkpKChoYGzZs3x8DAADs7u2rH14STkxOHDh3i4UpHKSkpGBgY0LBhw0r9f/75Z/744w+io6Pp2rUrLVq0UE4bP6CpqQlAWVmZcq1ly5ZoaWmRnZ1N06ZN1V6NGjX60/ELIYQQQgghhBAvAjkhLIQQ/0AGBgYEBgYyZcoUTE1NsbCwIDIyEg0NDbWSC48KCQnBx8eHsrIyAgMDleva2tqEh4cTFhaGpqYm7u7uXL9+nTNnzhAcHExAQACRkZEEBgYSFRXF9evXGT9+PMOGDVMePBcVFcWYMWOwsLCgT58+FBQUkJKSwvjx42t0T2PHjmXp0qWMHz+ecePGkZGRQWRkJJMmTUJDo/Lfb9ra2qKpqclHH33EmDFjOH36tFKf+IHGjRujUqnYvn07r7/+Ojo6OhgYGDB58mQmTpxIeXk5Xbp0IT8/n5SUFAwNDdX2RQghXjZSQ1cIIYQQQsgJYSGE+IdavHgxnTp1wsfHBy8vL9zd3XFyckJbW7vaMV5eXlhZWeHt7Y21tbVaW0REBO+//z4zZszAycmJQYMGKSdudXV12bNnD7m5uXTo0IG33noLT09PVqxYoYwPDAxk6dKlfPzxxzg7O+Pj48P58+drfD82Njbs3LmTI0eO0KZNG8aMGUNwcDDTp0+vsr+5uTnx8fFs2rSJli1bEh0dzaJFiyrNOXPmTKZOnYqlpSXjxo0DYPbs2URERDBv3jycnJzo3bs3O3bswN7evsbxCiGEEEIIIYQQLyJVxcP/9lYIIcQ/VlFRETY2NsTExBAcHFxln8LCQmxsbIiLi6N///7POcJ/lpo+3VUIIYQQQgghhHgWavp7qJSMEEKIf6gTJ07w888/07FjR/Lz85k1axYAfn5+lfqWl5dz48YNYmJiMDY2pm/fvs87XCGEEEIIIYQQQjwHkhAWQoh/sEWLFpGRkYGmpiZubm4kJydTv379Sv2ys7Oxt7enYcOGxMfHU7eu/O9BCCGEEEIIIYT4J5IawkL8g9nZ2bF06dLaDkOhUqnYunVrbYdRpaioKNq2bVvbYTyVJ32+rq6uHDt2jMLCQnJzc0lISMDFxUWtT1BQEP7+/tjZ2VFRUcHly5fx9PT8myN/Nh69/99//53XXnsNPT09jI2Nay0uIYQQQgghhBDiRSYJYSGEEDWWlZWFSqXi5MmTtR1KJUuWLCEnJ4eTJ09y7ty5Go2Jj4+X5LEQQgghhBBCiH8V+TfBQggh/hEyMzNxc3PD0dGxtkMRQvwL2U3dUdsh1EhW9Bu1HYIQQgghhKhlckJYiJdUQUEBAQEB6OnpYWVlxZIlS/Dw8CA0NLTK/iNHjsTHx0ftWmlpKRYWFqxatQq4/2CxBQsW0LRpU7S0tLC1tWXOnDlK/1OnTtGzZ090dHQwMzNj9OjRFBYWqs25evVqnJ2d0dLSwsrKinHjxqm137hxg379+qGrq4ujoyPbtm1Taz99+jR9+vRBX18fS0tLhg0bxo0bN5R2Dw8PJkyYQFhYGKampjRo0ICoqCi1ObKzs/Hz80NfXx9DQ0MGDhzI1atX1fpER0djaWmJgYEBwcHB3L17t9KerVy5EicnJ7S1tWnRogUff/yxWvvj9iMpKQlNTU2Sk5OV/gsWLMDCwoKrV6+ydu1azMzMKC4uVpvT39+fYcOGKe//93//lw4dOqCtrU39+vXp16+fWv/bt28zcuRIDAwMsLW15fPPP69xjFXZvXs3Xbp0wdjYGDMzM3x8fMjMzFTa7e3tgfvlKFQqFR4eHjXer0d98803uLi4KLF5eXlRVFQEUOV32d/fn6CgoCrnsrOzY/PmzaxduxaVSqX0W7x4MS4uLujp6dGoUSPGjh2r9hmNGDGC/Px8VCoVKpVK+S4VFxczefJkbGxs0NPT45VXXiEpKemx9yOEEEIIIYQQQrwMJCEsxEtq0qRJpKSksG3bNhISEkhOTub48ePV9g8JCWH37t3k5OQo17Zv387t27cZNGgQANOmTSM6OpqIiAjOnj3L+vXrsbS0BKCoqAhvb29MTExITU1l06ZN7N27Vy3h+8knn/Duu+8yevRoTp06xbZt22jatKlaHDNnzmTgwIH89NNPvP766wQEBJCbmwtAXl4ePXv2xNXVlaNHj7J7926uXr3KwIED1eZYs2YNenp6HD58mAULFjBr1iwSEhKA+0ltPz8/cnNz2b9/PwkJCVy8eFG5R4Cvv/6aqKgo5s6dy9GjR7GysqqUvFy3bh0zZsxgzpw5pKenM3fuXCIiIlizZk2N9uNBQnPYsGHk5+dz4sQJIiIiWLlyJZaWlgwYMICysjK1hPi1a9fYsWMHI0eOBGDHjh3069eP119/nRMnTpCYmEjHjh3V4oyJiaF9+/acOHGCsWPH8s4775CRkVHjz+xRRUVFTJo0iaNHj5KYmIiGhgb9+vWjvLwcgCNHjgCwd+9ecnJy2LJlS43261E5OTkMGTKEkSNHkp6eTlJSEv3796eioqLa2B4nNTWV3r17M3DgQHJycli2bBkAGhoaLF++nDNnzrBmzRr++9//EhYWBkDnzp1ZunQphoaG5OTkkJOTw+TJkwEYN24chw4dYsOGDfz0008MGDCA3r17c/78+WpjKC4u5tatW2ovIYQQQgghhBDiRaOq+LO/fQshak1BQQFmZmasX7+et956C4D8/Hysra0ZNWqU8qAtOzs7QkNDlZOWzs7OBAYGKgmxvn37YmZmRlxcHAUFBZibm7NixQpCQkIqrRkbG0t4eDiXL19GT08PgJ07d+Lr68uVK1ewtLTExsaGESNG8OGHH1YZt0qlYvr06cyePRu4n3zU19dn165d9O7dmw8//JDk5GT27NmjjPn1119p1KgRGRkZNGvWDA8PD8rKytRO3nbs2JGePXsSHR1NQkICffr04ZdffqFRo0YAnD17FmdnZ44cOUKHDh3o3Lkzrq6u/Oc//1HmePXVV7l7965SG7dp06bMnj2bIUOGKH0+/PBDdu7cycGDB2u0HyUlJbzyyis0a9aM06dP4+7urnaCd+zYsWRlZbFz507g/mnW//znP1y4cAGVSkXnzp1xcHDgyy+/rHI/7ezs6Nq1K1988QUAFRUVNGjQgJkzZzJmzJgaxRgUFEReXl61D/u7ceMG5ubmnDp1ilatWpGVlYW9vT0nTpxQewjfk/brUcePH8fNzY2srCwaN25cqd3Dw4O2bduqPTTO398fY2Nj4uPjlft/+Pv9aHtVvvnmG8aMGaOcOo+Pjyc0NJS8vDylT3Z2Ng4ODmRnZ2Ntba1c9/LyomPHjsydO7fKuaOiopg5c2al6/n5+RgaGlYbkxDin0FKRgghhBBCiNp269YtjIyMnvh7qJwQFuIldPHiRUpLS9VOixoZGdG8efPHjgsJCSEuLg6Aq1evsmvXLuU0anp6OsXFxXh6elY5Nj09nTZt2iiJRQB3d3fKy8vJyMjg2rVrXLlypdrxD7Ru3Vr5WU9PD0NDQ65duwZAWloa+/btQ19fX3m1aNECQK1swcNzAFhZWSlzpKen06hRIyUZDNCyZUuMjY1JT09X+rzyyitqc3Tq1En5uaioiMzMTIKDg9Vi+fDDD5U4nrQfAJqamqxbt47Nmzdz9+5dlixZorbmqFGj+P777/ntt9+A+8nJoKAgVCoVACdPnnyq/VSpVDRo0EBtL54U46POnz/PkCFDcHBwwNDQEDs7O+B+krQ6NdmvR7Vp0wZPT09cXFwYMGAAsbGx3Lx587H3+mfs3bsXT09PbGxsMDAwYNiwYfzxxx/cvn272jGnTp2irKyMZs2aqd3P/v37q70fuH/CPj8/X3ldvnz5md+PEEIIIYQQQgjxV8lD5YT4Fxk+fDhTp07l0KFDHDx4EHt7e7p27QqAjo7OX5q7puPr1aun9l6lUinlCAoLC/H19WX+/PmVxllZWdVojmfhQY3Z2NjYSonjOnXqPNVcD07H5ubmkpubq5acdXV1pU2bNqxdu5ZevXpx5swZduz4vxNmNdnTZ70Xvr6+NG7cmNjYWKytrSkvL6dVq1aUlJRUO+bP7FedOnVISEjg4MGDfP/993z00Ud88MEHHD58GHt7ezQ0NCqVjygtLX2qe8nKysLHx4d33nmHOXPmYGpqyoEDBwgODqakpARdXd1q76dOnTocO3asUvz6+vrVrqelpYWWltZTxSiEEEIIIYQQQjxvckJYiJeQg4MD9erVIzU1VbmWn5/PuXPnHjvOzMwMf39/4uLiiI+PZ8SIEUqbo6MjOjo6JCYmVjnWycmJtLQ05aFfACkpKWhoaNC8eXMMDAyws7OrdnxNtGvXjjNnzmBnZ0fTpk3VXg8nUh/HycmJy5cvq53OPHv2LHl5ebRs2VLpc/jwYbVxP/74o/KzpaUl1tbWXLx4sVIcDx6q9qT9gPunmidOnKgkSgMDAysla0NCQoiPjycuLg4vLy+1k82tW7f+S/tZkxgf9scff5CRkcH06dPx9PTEycmp0qldTU1NAMrKypRrNdmvqqhUKtzd3Zk5cyYnTpxAU1OTb7/9FgBzc3O1etdlZWWcPn36qe7/2LFjlJeXExMTw6uvvkqzZs24cuVKpft5+F7gfqK+rKyMa9euVbqfBg0aPFUMQgghhBBCCCHEi0ZOCAvxEjIwMCAwMJApU6ZgamqKhYUFkZGRaGhoKOUGqhMSEoKPjw9lZWUEBgYq17W1tQkPDycsLAxNTU3c3d25fv06Z86cITg4mICAACIjIwkMDCQqKorr168zfvx4hg0bpjx4LioqijFjxmBhYUGfPn0oKCggJSWF8ePH1+i+3n33XWJjYxkyZAhhYWGYmppy4cIFNmzYwMqVK2t0OtfLywsXFxcCAgJYunQp9+7dY+zYsXTv3p327dsD8N577xEUFET79u1xd3dn3bp1nDlzBgcHB2WemTNnMmHCBIyMjOjduzfFxcUcPXqUmzdvMmnSpCfuR1lZGW+//Tbe3t6MGDGC3r174+LiQkxMDFOmTFHWGTp0KJMnTyY2Npa1a9eq3UtkZCSenp40adKEwYMHc+/ePXbu3El4eHiN9rMmn9nDTExMMDMz4/PPP8fKyors7GymTp2q1sfCwgIdHR12795Nw4YN0dbWxsjI6In79ajDhw+TmJhIr169sLCw4PDhw1y/fh0nJycAevbsyaRJk9ixYwdNmjRh8eLFanV+a6Jp06aUlpby0Ucf4evrS0pKCp9++qlaHzs7OwoLC0lMTKRNmzbo6urSrFkzAgICGD58ODExMbi6unL9+nUSExNp3bo1b7wh9TeFEJVJbV4hhBBCCPGykBPCQrykFi9eTKdOnfDx8cHLywt3d3ecnJzQ1tZ+7DgvLy+srKzw9vZWe2AWQEREBO+//z4zZszAycmJQYMGKfVodXV12bNnD7m5uXTo0IG33noLT09PVqxYoYwPDAxk6dKlfPzxxzg7O+Pj48P58+drfE/W1takpKRQVlZGr169cHFxITQ0FGNjYzQ0avbHlUql4rvvvsPExIRu3brh5eWFg4MDGzduVPoMGjSIiIgIwsLCcHNz49KlS7zzzjtq84SEhLBy5Uri4uJwcXGhe/fuxMfHKyden7Qfc+bM4dKlS3z22WfA/ZIXn3/+OdOnTyctLU1Zx8jIiDfffBN9fX38/f3VYvDw8GDTpk1s27aNtm3b0rNnT44cOVLj/azJZ/YwDQ0NNmzYwLFjx2jVqhUTJ05k4cKFan3q1q3L8uXL+eyzz7C2tsbPz69G+/UoQ0NDfvjhB15//XWaNWvG9OnTiYmJoU+fPgCMHDmSwMBAhg8fTvfu3XFwcKBHjx41vne4X6d48eLFzJ8/n1atWrFu3TrmzZun1qdz586MGTOGQYMGYW5uzoIFCwCIi4tj+PDhvP/++zRv3hx/f39SU1OxtbV9qhiEEEIIIYQQQogXjari0SKNQoiXUlFRETY2NsTExBAcHFxtv8LCQmxsbIiLi6N///7PMUJRHU9PT5ydnVm+fHlthyKeoZo+3VUIIYQQQgghhHgWavp7qJSMEOIldeLECX7++Wc6duxIfn4+s2bNAlBObD6qvLycGzduEBMTg7GxMX379n2e4Yoq3Lx5k6SkJJKSkvj4449rOxwhhBBCCCGEEEL8C0hCWIiX2KJFi8jIyEBTUxM3NzeSk5OpX79+lX2zs7Oxt7enYcOGxMfHU7eu/Odf21xdXbl58ybz58+v8iFvQgghhBBCCCGEEM+a1BAW/0p2dnYsXbq0tsNQqFQqtm7d+lRjXF1dOXbsGIWFheTm5pKQkICLi0u1/e3s7KioqODy5ct4enrWeJ2oqCjatm37VLHVtmfx+QYFBVWq6fusZWVlkZ+fz+TJk5967Iv2Hf4rsrKyUKlUnDx5sto+SUlJqFSqp36wXFW6devG+vXra9z/xo0bWFhY8Ouvv/7ltYUQQgghhBBCiNomCWEhhHgGapLUFFVr1KgROTk5tGrV6m9fa9u2bVy9epXBgwcr1z7//HM8PDwwNDSsMulcv359hg8fTmRk5N8enxBCCCGEEEII8XeTfzMuhBDiTykpKUFTU/Mvz1OnTh0aNGjwDCJ6suXLlzNixAg0NP7v70Nv375N79696d27N9OmTaty3IgRI3Bzc2PhwoWYmpo+l1iFEP8cdlN31HYIiqzoN2o7BCGEEEIIUcvkhLD4xykoKCAgIAA9PT2srKxYsmQJHh4ehIaGVtl/5MiR+Pj4qF0rLS3FwsKCVatWAfcfyLZgwQKaNm2KlpYWtra2zJkzR+l/6tQpevbsiY6ODmZmZowePZrCwkK1OVevXo2zszNaWlpYWVkxbtw4tfYbN27Qr18/dHV1cXR0ZNu2bWrtp0+fpk+fPujr62NpacmwYcO4ceOG0u7h4cGECRMICwvD1NSUBg0aEBUVpTZHdnY2fn5+6OvrY2hoyMCBA7l69apan+joaCwtLTEwMCA4OJi7d+9W2rOVK1fi5OSEtrY2LVq0qPRAtMftR1JSEpqamiQnJyv9FyxYgIWFBVevXmXt2rWYmZlRXFysNqe/vz/Dhg1T3v/v//4vHTp0QFtbm/r169OvXz+1/rdv32bkyJEYGBhga2vL559/XuMYq7J79266dOmCsbExZmZm+Pj4kJmZqbTb29sD90t5qFQqPDw8arxfj3ra73BVp5Pz8vJQqVQkJSUp186cOYOPjw+GhoYYGBjQtWtX5R6qmt/f35+goCDlvZ2dHbNnz2b48OEYGhoyevRoADZv3qx8t+3s7IiJiVGbx87Ojrlz51b7eVQV/86dO2nWrBk6Ojr06NGDrKysSvd94MABunbtio6ODo0aNWLChAkUFRVVu6/Xr1/nv//9L76+vmrXQ0NDmTp1Kq+++mq1Y52dnbG2tubbb7+tto8QQgghhBBCCPEykISw+MeZNGkSKSkpbNu2jYSEBJKTkzl+/Hi1/UNCQti9ezc5OTnKte3bt3P79m0GDRoEwLRp04iOjiYiIoKzZ8+yfv16LC0tASgqKsLb2xsTExNSU1PZtGkTe/fuVUv4fvLJJ7z77ruMHj2aU6dOsW3bNpo2baoWx8yZMxk4cCA//fQTr7/+OgEBAeTm5gL3k3s9e/bE1dWVo0ePsnv3bq5evcrAgQPV5lizZg16enocPnyYBQsWMGvWLBISEoD7SW0/Pz9yc3PZv38/CQkJXLx4UblHgK+//pqoqCjmzp3L0aNHsbKyqpS8XLduHTNmzGDOnDmkp6czd+5cIiIiWLNmTY3240HicdiwYeTn53PixAkiIiJYuXIllpaWDBgwgLKyMrWE+LVr19ixYwcjR44EYMeOHfTr14/XX3+dEydOkJiYSMeOHdXijImJoX379pw4cYKxY8fyzjvvkJGRUePP7FFFRUVMmjSJo0ePkpiYiIaGBv369aO8vByAI0eOALB3715ycnLYsmVLjfarKk/7Ha6J3377jW7duqGlpcV///tfjh07xsiRI7l3795TzbNo0SLatGmjfG7Hjh1j4MCBDB48mFOnThEVFUVERATx8fFq4x73eTzq8uXL9O/fH19fX06ePElISAhTp05V65OZmUnv3r158803+emnn9i4cSMHDhx47Gd44MABdHV1cXJyeqp7fqBjx45qf5HxqOLiYm7duqX2EkIIIYQQQgghXjgVQvyD3Lp1q6JevXoVmzZtUq7l5eVV6OrqVrz33nvKtcaNG1csWbJEed+yZcuK+fPnK+99fX0rgoKClDm1tLQqYmNjq1zz888/rzAxMakoLCxUru3YsaNCQ0Oj4vfff6+oqKiosLa2rvjggw+qjRuomD59uvK+sLCwAqjYtWtXRUVFRcXs2bMrevXqpTbm8uXLFUBFRkZGRUVFRUX37t0runTpotanQ4cOFeHh4RUVFRUV33//fUWdOnUqsrOzlfYzZ85UABVHjhypqKioqOjUqVPF2LFj1eZ45ZVXKtq0aaO8b9KkScX69evV+syePbuiU6dONd6P4uLiirZt21YMHDiwomXLlhWjRo1Sm++dd96p6NOnj/I+JiamwsHBoaK8vFyJMyAgoPJG/v8aN25c8fbbbyvvy8vLKywsLCo++eSTGscYGBhY4efnV+0a169frwAqTp06VVFRUVHxyy+/VAAVJ06cUOv3pP161J/5Dle19s2bNyuAin379lVUVFRUTJs2rcLe3r6ipKSkynW7d++uNn9FRUWFn59fRWBgoNqa/v7+an2GDh1a8dprr6ldmzJlSkXLli3Vxj3u83g0/mnTpqmNr6ioqAgPD68AKm7evFlRUVFRERwcXDF69Gi1PsnJyRUaGhoVd+7cqfIelyxZUuHg4FBlW0VFRcW+ffvU1njUxIkTKzw8PKodHxkZWQFUeuXn51c7Rgjx79A4fPsL8xJCCCGEEP9c+fn5Nfo9VE4Ii3+UixcvUlpaqnZa1MjIiObNmz92XEhICHFxcQBcvXqVXbt2KadR09PTKS4uxtPTs8qx6enptGnTBj09PeWau7s75eXlZGRkcO3aNa5cuVLt+Adat26t/Kynp4ehoSHXrl0DIC0tjX379qGvr6+8WrRoAaBWtuDhOQCsrKyUOdLT02nUqBGNGjVS2lu2bImxsTHp6elKn1deeUVtjk6dOik/FxUVkZmZSXBwsFosH374oRLHk/YDQFNTk3Xr1rF582bu3r3LkiVL1NYcNWoU33//Pb/99hsA8fHxBAUFoVKpADh58uRT7adKpaJBgwZqe/GkGB91/vx5hgwZgoODA4aGhtjZ2QH3y3BUpyb79ag/+x1+kpMnT9K1a1fq1av3l+Zp37692vv09HTc3d3Vrrm7u3P+/HnKysqUa4/7PB71pO8h3P9vIj4+Xm1fvb29KS8v55dffqly3jt37qCtrf3km6yGjo4Ot2/frrZ92rRp5OfnK6/Lly//6bWEEEIIIYQQQoi/izxUTghg+PDhTJ06lUOHDnHw4EHs7e3p2rUrcD8J9FfUdPyjiTqVSqWUIygsLMTX15f58+dXGmdlZVWjOZ6FBzV2Y2NjKyXs6tSp81RzHTx4EIDc3Fxyc3PVkrOurq60adOGtWvX0qtXL86cOcOOHf/3QJ6a7Omz3gtfX18aN25MbGws1tbWlJeX06pVK0pKSqod8yz363EePCCtoqJCuVZaWqrW50l7pqGhoTa+qjkAtc/paTzrz6OwsJD/9//+HxMmTKjUZmtrW+WY+vXrc/PmzT+9Zm5uLubm5tW2a2lpoaWl9afnF0IIIYQQQgghngc5ISz+URwcHKhXrx6pqanKtfz8fM6dO/fYcWZmZvj7+xMXF0d8fDwjRoxQ2hwdHdHR0SExMbHKsU5OTqSlpak9zColJQUNDQ2aN2+OgYEBdnZ21Y6viXbt2nHmzBns7Oxo2rSp2qumCTonJycuX76sdmrx7Nmz5OXl0bJlS6XP4cOH1cb9+OOPys+WlpZYW1tz8eLFSnE8eKjak/YD7p9qnjhxopIoDQwMrJQcDAkJIT4+nri4OLy8vNRONrdu3fov7WdNYnzYH3/8QUZGBtOnT8fT0xMnJ6dKiUVNTU0AtVOxNdmvR/2Z7/CDJOXDdbAffkAb3N+z5OTkKpO8D+Z4eHxZWRmnT5+uds0HnJycSElJUbuWkpJCs2bN/nTS28nJSanJ/MDD30O4/9/E2bNnK+1r06ZNlc/iUa6urvz+++9/Oil8+vRpXF1d/9RYIYQQQgghhBDiRSEnhMU/ioGBAYGBgUyZMgVTU1MsLCyIjIxEQ0NDKTdQnZCQEHx8fCgrKyMwMFC5rq2tTXh4OGFhYWhqauLu7s7169c5c+YMwcHBBAQEEBkZSWBgIFFRUVy/fp3x48czbNgw5cFzUVFRjBkzBgsLC/r06UNBQQEpKSmMHz++Rvf17rvvEhsby5AhQwgLC8PU1JQLFy6wYcMGVq5cWaPEm5eXFy4uLgQEBLB06VLu3bvH2LFj6d69u1IG4L333iMoKIj27dvj7u7OunXrOHPmDA4ODso8M2fOZMKECRgZGdG7d2+Ki4s5evQoN2/eZNKkSU/cj7KyMt5++228vb0ZMWIEvXv3xsXFhZiYGKZMmaKsM3ToUCZPnkxsbCxr165Vu5fIyEg8PT1p0qQJgwcP5t69e+zcuZPw8PAa7WdNPrOHmZiYYGZmxueff46VlRXZ2dmVHnJmYWGBjo4Ou3fvpmHDhmhra2NkZPTE/XrUn/kO6+jo8OqrrxIdHY29vT3Xrl1j+vTpan3GjRvHRx99xODBg5k2bRpGRkb8+OOPdOzYkebNm9OzZ08mTZrEjh07aNKkCYsXLyYvL++Je/n+++/ToUMHZs+ezaBBgzh06BArVqyo9DDCpzFmzBjl+xASEsKxY8cqPaQuPDycV199lXHjxhESEoKenh5nz54lISGBFStWVDmvq6sr9evXJyUlBR8fH+X677//zu+//86FCxcAOHXqFAYGBtja2mJqagrA7du3OXbsGHPnzv3T9yWE+PfKin6jtkMQQgghhBBCISeExT/O4sWL6dSpEz4+Pnh5eeHu7o6Tk9MTa4d6eXlhZWWFt7c31tbWam0RERG8//77zJgxAycnJwYNGqTUP9XV1WXPnj3k5ubSoUMH3nrrLTw9PdWSUoGBgSxdupSPP/4YZ2dnfHx8OH/+fI3vydrampSUFMrKyujVqxcuLi6EhoZibGyslAt4EpVKxXfffYeJiQndunXDy8sLBwcHNm7cqPQZNGgQERERhIWF4ebmxqVLl3jnnXfU5gkJCWHlypXExcXh4uJC9+7diY+PV068Pmk/5syZw6VLl/jss8+A+yUvPv/8c6ZPn05aWpqyjpGREW+++Sb6+vr4+/urxeDh4cGmTZvYtm0bbdu2pWfPnpVOlD5OTT6zh2loaLBhwwaOHTtGq1atmDhxIgsXLlTrU7duXZYvX85nn32GtbU1fn5+NdqvqvyZ7/Dq1au5d+8ebm5uhIaG8uGHH6q1m5mZ8d///pfCwkK6d++Om5sbsbGxSimHkSNHEhgYyPDhw+nevTsODg706NHjiXvZrl07vv76azZs2ECrVq2YMWMGs2bNIigo6Iljq2Nra8vmzZvZunUrbdq04dNPP62UiG3dujX79+/n3LlzdO3aFVdXV2bMmFHpv92H1akwUkyZAAEAAElEQVRThxEjRrBu3Tq1659++imurq6MGjUKgG7duuHq6sq2bduUPt999x22trZKKRkhhBBCCCGEEOJlpap4tGikEP8wRUVF2NjYEBMTQ3BwcLX9CgsLsbGxIS4ujv79+z/HCEV1PD09cXZ2Zvny5bUdSq2q6XdYPNnvv/+Os7Mzx48fp3HjxjUe9+qrrzJhwgSGDh1a4zG3bt3CyMiI/Px8DA0N/0y4QgghhBBCCCFEjdX091ApGSH+cU6cOMHPP/9Mx44dyc/PZ9asWQDKic1HlZeXc+PGDWJiYjA2NqZv377PM1xRhZs3b5KUlERSUtJfKj3wsnra77CouQYNGrBq1Sqys7NrnBC+ceMG/fv3Z8iQIX9zdEIIIYQQQgghxN9PEsLiH2nRokVkZGSgqamJm5sbycnJ1K9fv8q+2dnZ2Nvb07BhQ+Lj46lbV/6zqG2urq7cvHmT+fPnV/mQt3+Dp/kOi6fzaAmSJ6lfvz5hYWF/TzBCCCGEEEIIIcRzJiUjhBAvDTs7O0JDQwkNDa3tUID7dZm//fbbp04wPg9RUVFs3bqVkydP1nYoNfYsPt+goCDy8vLYunXrM4vrz5KSEUIIIYQQQgghnicpGSGEEEI8QVZWFvb29pw4cYK2bdvWdjhCCPG3s5u6o7ZD+MfJin6jtkMQQgghhHgqGrUdgBBCCCGEEEIIIYQQQojnQxLCQogXRkFBAQEBAejp6WFlZcWSJUvw8PCosoTAyJEj8fHxUbtWWlqKhYUFq1atAu4/MHDBggU0bdoULS0tbG1tmTNnjtL/1KlT9OzZEx0dHczMzBg9ejSFhYVqc65evRpnZ2e0tLSwsrJi3Lhxau03btygX79+6Orq4ujoyLZt29TaT58+TZ8+fdDX18fS0pJhw4Zx48YNpd3Dw4MJEyYQFhaGqakpDRo0ICoqSm2O7Oxs/Pz80NfXx9DQkIEDB3L16lW1PtHR0VhaWmJgYEBwcDB3796ttGcrV67EyckJbW1tWrRoUemBfY/bj6SkJDQ1NUlOTlb6L1iwAAsLC65evcratWsxMzOjuLhYbU5/f3+GDRumvP/f//1fOnTogLa2NvXr16dfv35q/W/fvs3IkSMxMDDA1taWzz//vMYxVmX37t106dIFY2NjzMzM8PHxITMzU2m3t7cH7tetVqlUeHh41Hi/hBBCCCGEEEKIl5EkhIUQL4xJkyaRkpLCtm3bSEhIIDk5mePHj1fZNyQkhN27d5OTk6Nc2759O7dv32bQoEEATJs2jejoaCIiIjh79izr16/H0tISgKKiIry9vTExMSE1NZVNmzaxd+9etYTvJ598wrvvvsvo0aM5deoU27Zto2nTpmpxzJw5k4EDB/LTTz/x+uuvExAQQG5uLgB5eXn07NkTV1dXjh49yu7du7l69SoDBw5Um2PNmjXo6elx+PBhFixYwKxZs0hISADuJ7X9/PzIzc1l//79JCQkcPHiReUeAb7++muioqKYO3cuR48excrKqlLyct26dcyYMYM5c+aQnp7O3LlziYiIYM2aNTXajweJ+WHDhpGfn8+JEyeIiIhg5cqVWFpaMmDAAMrKytQS4teuXWPHjh2MHDkSgB07dtCvXz9ef/11Tpw4QWJiIh07dlSLMyYmhvbt23PixAnGjh3LO++8Q0ZGRo0/s0cVFRUxadIkjh49SmJiIhoaGvTr14/y8nIAjhw5AsDevXvJyclhy5YtNdqvqhQXF3Pr1i21lxBCCCGEEEII8aKRh8oJIV4IBQUFmJmZsX79et566y0A8vPzsba2ZtSoUSxdurTSQ8ecnZ0JDAwkLCwMgL59+2JmZkZcXBwFBQWYm5uzYsUKQkJCKq0XGxtLeHg4ly9fRk9PD4CdO3fi6+vLlStXsLS0xMbGhhEjRvDhhx9WGbNKpWL69OnMnj0buJ981NfXZ9euXfTu3ZsPP/yQ5ORk9uzZo4z59ddfadSoERkZGTRr1gwPDw/KysrUTt527NiRnj17Eh0dTUJCAn369OGXX36hUaNGAJw9exZnZ2eOHDlChw4d6Ny5M66urvznP/9R5nj11Ve5e/eu8lC5pk2bMnv2bIYMGaL0+fDDD9m5cycHDx6s0X6UlJTwyiuv0KxZM06fPo27u7vaCd6xY8eSlZXFzp07AVi8eDH/+c9/uHDhAiqVis6dO+Pg4MCXX35Z5X7a2dnRtWtXvvjiCwAqKipo0KABM2fOZMyYMTWK8UkPlbtx4wbm5uacOnWKVq1aVVtD+En7VZWoqChmzpxZ6bo8VE4I8SKRGsLPntQQFkIIIcSLoqYPlZMTwkKIF8LFixcpLS1VOzFqZGRE8+bNqx0TEhJCXFwcAFevXmXXrl3KadT09HSKi4vx9PSscmx6ejpt2rRREosA7u7ulJeXk5GRwbVr17hy5Uq14x9o3bq18rOenh6GhoZcu3YNgLS0NPbt24e+vr7yatGiBYBa2YKH5wCwsrJS5khPT6dRo0ZKMhigZcuWGBsbk56ervR55ZVX1Obo1KmT8nNRURGZmZkEBwerxfLhhx8qcTxpPwA0NTVZt24dmzdv5u7duyxZskRtzVGjRvH999/z22+/ARAfH09QUBAqlQqAkydPPtV+qlQqGjRooLYXT4rxUefPn2fIkCE4ODhgaGiInZ0dcL8MR3Vqsl9VmTZtGvn5+crr8uXLj71XIYQQQgghhBCiNtSt7QCEEOLPGj58OFOnTuXQoUMcPHgQe3t7unbtCoCOjs5fmrum4+vVq6f2XqVSKeUICgsL8fX1Zf78+ZXGWVlZ1WiOZ+FBjd3Y2NhKieM6deo81VwPTsfm5uaSm5urlpx1dXWlTZs2rF27ll69enHmzBl27Pi/k2g12dNnvRe+vr40btyY2NhYrK2tKS8vp1WrVpSUlFQ75s/ul5aWFlpaWn86ViGEEEIIIYQQ4nmQhLAQ4oXg4OBAvXr1SE1NxdbWFrj/T+3PnTtHt27dqhxjZmaGv78/cXFxHDp0iBEjRihtjo6O6OjokJiYWGXJCCcnJ+Lj4ykqKlKSmikpKWhoaNC8eXMMDAyws7MjMTGRHj16/Kl7ateuHZs3b8bOzo66df/cH7dOTk5cvnyZy5cvq5WMyMvLo2XLlkqfw4cPM3z4cGXcjz/+qPxsaWmJtbU1Fy9eJCAgoNp1HrcfcP9U88SJE4mNjWXjxo0EBgayd+9eNDT+7x+bhISEsHTpUn777Te8vLzUTja3bt2axMREtc/paffiSTE+7I8//iAjI4PY2FjlLwoOHDig1kdTUxOAsrIy5VpN9ksIIV5WUt5ACCGEEEJIyQghxAvBwMCAwMBApkyZwr59+zhz5gzBwcFoaGgoJQeqEhISwpo1a0hPTycwMFC5rq2tTXh4OGFhYaxdu5bMzEx+/PFHVq1aBUBAQADa2toEBgZy+vRp9u3bx/jx4xk2bJjy4LmoqChiYmJYvnw558+f5/jx43z00Uc1vqd3332X3NxchgwZQmpqKpmZmezZs4cRI0aoJSAfx8vLCxcXFwICAjh+/DhHjhxh+PDhdO/enfbt2wPw3nvvsXr1auLi4jh37hyRkZGcOXNGbZ6ZM2cyb948li9fzrlz5zh16hRxcXEsXry4RvtRVlbG22+/jbe3NyNGjCAuLo6ffvqJmJgYtXWGDh3Kr7/+SmxsrFK+44HIyEi++uorIiMjSU9P59SpU1Wenq5OTT6zh5mYmGBmZsbnn3/OhQsX+O9//8ukSZPU+lhYWKCjo6M88C8/P79G+yWEEEIIIYQQQrysJCEshHhhLF68mE6dOuHj44OXlxfu7u44OTmhra1d7RgvLy+srKzw9vbG2tparS0iIoL333+fGTNm4OTkxKBBg5R6tLq6uuzZs4fc3Fw6dOjAW2+9haenJytWrFDGBwYGsnTpUj7++GOcnZ3x8fHh/PnzNb4fa2trUlJSKCsro1evXri4uBAaGoqxsbHaqdrHUalUfPfdd5iYmNCtWze8vLxwcHBg48aNSp9BgwYRERFBWFgYbm5uXLp0iXfeeUdtnpCQEFauXElcXBwuLi50796d+Ph47O3ta7Qfc+bM4dKlS3z22WfA/ZIXn3/+OdOnTyctLU1Zx8jIiDfffBN9fX38/f3VYvDw8GDTpk1s27aNtm3b0rNnT44cOVLj/azJZ/YwDQ0NNmzYwLFjx2jVqhUTJ05k4cKFan3q1q3L8uXL+eyzz7C2tsbPz69G+yWEEEIIIYQQQrysVBUVFRW1HYQQQlSlqKgIGxsbYmJiCA4OrrJPYWEhNjY2xMXF0b9//+ccoaiKp6cnzs7OLF++vLZDqVU1fbqrEEIIIYQQQgjxLNT091CpISyEeGGcOHGCn3/+mY4dO5Kfn8+sWbMAlFObDysvL+fGjRvExMRgbGxM3759n3e44hE3b94kKSmJpKQkPv7449oORwghhBBCCCGEEFWQkhFC/AvY2dmxdOnS2g6jRhYtWkSbNm3w8vKiqKiI5ORk6tevr7R7eHgQGhpKdnY2lpaWrF+/ntWrV//ph7b9GVFRUbRt2/a5rfewpKQkVCoVeXl5Ner/YL/+ikfvNygoqFI5CABXV1eCgoKYP39+lQ95+zNWrVpFr169nslcf9bgwYMr1UoWQgghhBBCCCFeVnJCWAjxwnB1deXYsWM16mtnZ4dUvKkdy5Ytq3Lvs7Kynuk6d+/eJSIigk2bNqldv3XrFgsXLmTLli1cvHgRXV1dHBwcGDBgAKNGjcLExAS4nwzfv38/AFpaWjg4ODBu3DjGjh2rzFVSUsLSpUtZt24d58+fR1dXl+bNmxMSEsLbb79NvXr1mD59Ot26dSMkJAQjI6Nneo9CCCGEEEIIIcTzJglhIcTfrqSkBE1NzdoO44VWUVFBWVnZcz3p/Gc9r6ToN998g6GhIe7u7sq13NxcunTpwq1bt5g9ezZubm4YGRmRkZFBXFwc69ev591331X6jxo1ilmzZnH79m3Wrl3Lu+++i4mJCUOGDKGkpARvb2/S0tKYPXs27u7uGBoa8uOPP7Jo0SJcXV1p27YtrVq1okmTJnz55ZdqcwshHs9u6o7aDkFUISv6jdoOQQghhBBC1DIpGSHES66goICAgAD09PSwsrJiyZIljy0TMHLkSHx8fNSulZaWYmFhwapVq4D79XkXLFhA06ZN0dLSwtbWljlz5ij9L1++zMCBAzE2NsbU1BQ/Pz+106EPSgrMmTMHa2trpXzAqVOn6NmzJzo6OpiZmTF69GgKCwsrjZs5cybm5uYYGhoyZswYSkpK1OItLy8nLCwMU1NTGjRoQFRUlFp7dnY2fn5+6OvrY2hoyMCBA7l69arSnpaWRo8ePTAwMMDQ0BA3NzeOHj0KQHx8PMbGxmzduhVHR0e0tbXx9vbm8uXLlfbyiy++wM7ODiMjIwYPHkxBQYHSVlxczIQJE7CwsEBbW5suXbqQmpqqtD8o/bBr1y7c3NzQ0tLiyy+/RENDQ4nlgaVLl9K4cWPKy8srf6BASkoKHh4e6OrqYmJigre3Nzdv3nxm+/WoR0tGeHh4MGHChMeukZeXR0hIiPK59uzZk7S0tGrXANiwYQO+vr5q1/7nf/6H7Oxsjhw5wogRI2jdujWNGzemV69efPXVV2qnfwF0dXVp0KABDg4OREVF4ejoyLZt24D7+/rDDz+QmJjIu+++S9u2bXFwcGDo0KEcPnwYR0dHZR5fX182bNjw2HiFEEIIIYQQQoiXgSSEhXjJTZo0iZSUFLZt20ZCQgLJyckcP3682v4hISHs3r2bnJwc5dr27du5ffs2gwYNAmDatGlER0cTERHB2bNnWb9+PZaWlsD95LG3tzcGBgYkJyeTkpKCvr4+vXv3VkvcJiYmkpGRQUJCAtu3b6eoqAhvb29MTExITU1l06ZN7N27l3HjxqnFl5iYSHp6OklJSXz11Vds2bKFmTNnqvVZs2YNenp6HD58mAULFjBr1iwSEhKA+8lPPz8/cnNz2b9/PwkJCVy8eFG5N4CAgAAaNmxIamoqx44dY+rUqdSrV09pv337NnPmzGHt2rWkpKSQl5fH4MGD1WLIzMxk69atbN++ne3bt7N//36io6OV9rCwMDZv3syaNWs4fvw4TZs2xdvbm9zcXLV5pk6dSnR0NOnp6fTt2xcvLy/i4uLU+sTFxREUFISGRuU/sk+ePImnpyctW7bk0KFDHDhwAF9fX8rKyp7ZftXE49YAGDBgANeuXWPXrl0cO3aMdu3a4enpWWk/HnbgwAHat2+vvC8vL2fjxo28/fbbWFtbVzlGpVI9Nk4dHR3le7pu3Tq8vLxwdXWt1K9evXro6ekp7zt27MiRI0coLi5+7PxCCCGEEEIIIcSL7sX/t8lCiGoVFBSwZs0a1q9fj6enJ3A/eVhdsgygc+fONG/enC+++IKwsDBlzIABA9DX16egoIBly5axYsUKAgMDAWjSpAldunQBYOPGjZSXl7Ny5Uol+RYXF4exsTFJSUnKA8D09PRYuXKlUioiNjaWu3fvsnbtWiXRtmLFCnx9fZk/f76ScNbU1GT16tXo6uri7OzMrFmzmDJlCrNnz1YSoq1btyYyMhIAR0dHVqxYQWJiIq+99hqJiYmcOnWKX375hUaNGgGwdu1anJ2dSU1NpUOHDmRnZzNlyhRatGihzPGw0tJSVqxYwSuvvALcT3Y6OTlx5MgROnbsCNxPTsbHx2NgYADAsGHDSExMZM6cORQVFfHJJ58QHx9Pnz59lPtPSEhg1apVTJkyRVlr1qxZvPbaa8r7kJAQxowZw+LFi9HS0uL48eOcOnWK7777rsrPc8GCBbRv356PP/5Yuebs7KzW56/uV008bo0DBw5w5MgRrl27hpaWFnD/4YFbt27lm2++YfTo0ZXmy8vLIz8/X+27fP36dfLy8io9sM7NzY2MjAzg/kner776qtJ8ZWVlfPXVV/z000/KeufPn8fDw6NG92dtbU1JSQm///47jRs3rrJPcXGxWsL41q1bNZpbCCGEEEIIIYR4nuSEsBAvsYsXL1JaWqokKeF+fddHE2aPCgkJUU6hXr16lV27djFy5EgA0tPTKS4uVhLMj0pLS+PChQsYGBigr6+Pvr4+pqam3L17l8zMTKWfi4uLWt3g9PR02rRpo3bq0t3dnfLyciWZB9CmTRt0dXWV9506daKwsFCtZEPr1q3VYrKysuLatWvKOo0aNVKSmwAtW7bE2NiY9PR04P6p6pCQELy8vIiOjlaLG6Bu3bpqidAWLVqojYf7D7V7kAx+NIbMzExKS0vVat/Wq1ePjh07qs0BqJ2ABfD396dOnTp8++23wP0SFj169MDOzo6qPDgh/Dh/db9q4nFrpKWlUVhYiJmZmfKd0dfX55dffqm09w/cuXMHAG1t7Seu/e2333Ly5Em8vb2VcQ98/PHH6Ovro6Ojw6hRo5g4cSLvvPMOwFM9lFBHRwe4f3q8OvPmzcPIyEh5PbynQgghhBBCCCHEi0JOCAvxLzR8+HCmTp3KoUOHOHjwIPb29nTt2hX4v8RXdQoLC3Fzc2PdunWV2szNzZWfH078PmsPl3eA+2UCqquvW5WoqCiGDh3Kjh072LVrF5GRkWzYsIF+/fo9txgeeHSfNDU1GT58OHFxcfTv35/169ezbNmyasc/6fN6lrH+2TUKCwuxsrIiKSmp0jhjY+Mq5zMzM0OlUqnVQjY3N8fY2FjtLxAAbG1tATAwMCAvL0+tLSAggA8++AAdHR2srKzUym40a9aMn3/+uUb396C0xcPf8UdNmzaNSZMmKe9v3bolSWEhhBBCCCGEEC8cOSEsxEvMwcGBevXqqT2sLD8/n3Pnzj12nJmZGf7+/sTFxREfH8+IESOUNkdHR3R0dEhMTKxybLt27Th//jwWFhY0bdpU7WVkZFTtmk5OTqSlpVFUVKRcS0lJQUNDQ+1Ec1pamtopzx9//BF9ff0aJ9acnJy4fPmy2onis2fPkpeXR8uWLZVrzZo1Y+LEiXz//ff0799frW7vvXv31B7slpGRQV5eHk5OTjWKoUmTJmhqapKSkqJcKy0tJTU1VS2G6oSEhLB3714+/vhj7t27R//+/avt27p162o/q5qo6X79Fe3ateP333+nbt26lb4z9evXr3KMpqYmLVu25OzZs8o1DQ0NBg4cyJdffsmVK1dqtLaRkRFNmzbFxsamUg3moUOHsnfvXk6cOFFpXGlpqdp39fTp0zRs2LDaeAG0tLQwNDRUewkhhBBCCCGEEC8aOSEsxEvMwMCAwMBApkyZgqmpKRYWFkRGRqKhofHEh2uFhITg4+NDWVmZUisY7v8T/fDwcMLCwtDU1MTd3Z3r169z5swZgoODCQgIYOHChfj5+TFr1iwaNmzIpUuX2LJlC2FhYTRs2LDK9QICAoiMjCQwMJCoqCiuX7/O+PHjGTZsmFI/GKCkpITg4GCmT59OVlYWkZGRjBs3rsoHqlXFy8sLFxcXAgICWLp0Kffu3WPs2LF0796d9u3bc+fOHaZMmcJbb72Fvb09v/76K6mpqbz55pvKHPXq1WP8+PEsX76cunXrMm7cOF599VW10hyPo6enxzvvvKN8Lra2tixYsIDbt28THBz8xPFOTk68+uqrhIeHM3LkyMeeAp42bRouLi6MHTuWMWPGoKmpyb59+xgwYMBjk5c13a9nwcvLi06dOuHv78+CBQto1qwZV65cYceOHfTr16/adby9vTlw4AChoaHKtblz55KUlETHjh2ZNWsW7du3R09Pj59++olDhw7RqlWrGscVGhrKjh078PT0ZPbs2XTp0gUDAwOOHj3K/PnzWbVqFW3btgUgOTlZqY8thKiZrOg3ajsEIYQQQgghRBUkISzES27x4sWMGTMGHx8fDA0NCQsL4/Lly0+sverl5YWVlRXOzs6VHkIXERFB3bp1mTFjBleuXMHKyooxY8YAoKuryw8//EB4eDj9+/enoKAAGxsbPD09H3siUldXlz179vDee+/RoUMHdHV1efPNN1m8eLFaP09PTxwdHenWrRvFxcUMGTKEqKioGu+HSqXiu+++Y/z48XTr1g0NDQ169+7NRx99BECdOnX4448/GD58OFevXqV+/fr079+fmTNnqsUaHh7O0KFD+e233+jatSurVq2qcQwA0dHRlJeXM2zYMAoKCmjfvj179uzBxMSkRuODg4M5ePCgUtu5Os2aNeP777/nf/7nf+jYsSM6Ojq88sorDBkypEbrPGm/ngWVSsXOnTv54IMPGDFiBNevX6dBgwZ069ZN7S8DHhUcHEz79u3Jz89XTp+bmZlx5MgR5s+fz8KFC/nll1/Q0NDA0dGRQYMGqSWPn0RLS4uEhASWLFnCZ599xuTJk9HV1cXJyYkJEyYoyeW7d++ydetWdu/e/Zf2QQghhBBCCCGEeBGoKp7mqTpCiBdeUVERNjY2xMTEPPY0amFhITY2Nkqt2hdBUFAQeXl5bN26tdZiiI+PJzQ0tFIt2udt9uzZbNq0iZ9++qlW46htAwYMoF27dkybNq3WYvjkk0/49ttv+f77759q3K1btzAyMiI/P1/KRwghhBBCCCGE+NvV9PdQqSEsxEvuxIkTfPXVV2RmZnL8+HECAgIA8PPzq7J/eXk5165dY/bs2RgbG9O3b9/nGa54gsLCQk6fPs2KFSsYP358bYdT6xYuXIi+vn6txlCvXr1nemJaCCGEEEIIIYSoTVIyQoh/gEWLFpGRkYGmpiZubm4kJydXWz82Ozsbe3t7GjZsSHx8PHXryh8DL5Jx48bx1Vdf4e/v/8RyEf8GdnZ2tZ4YDwkJqdX1hRBCCCGEEEKIZ0lKRgghXmp2dnaEhoY+Ve3YF5WHhwdt27Zl6dKltRZDVFQUW7du5eTJk396jqSkJHr06MHNmzcxNjZ+ZrE9jkql4ttvv8Xf3/9Pz5GVlYW9vT0nTpxQHib3V0jJCCGEEEIIIYQQz5OUjBBCCFErOnfuTE5OjvIguOchJyeHPn36APcTuyqV6i8ltR8WHx9PfHz8M5lLCCGEEEIIIYSobfJvxYUQ4i8oKSlBU1OztsN4oWhqatKgQYPnuubfsd6SJUvUykUUFBSwcuVKJk6c+MzXEn+d3dQdtR2CEC+FrOg3ajsEIYQQQghRy+SEsBDihVZQUEBAQAB6enpYWVmxZMkSPDw8qiwRMXLkSHx8fNSulZaWYmFhwapVq4D7D9VbsGABTZs2RUtLC1tbW+bMmaP0v3z5MgMHDsTY2BhTU1P8/PzIyspS2oOCgvD392fOnDlYW1vTvHlzAE6dOkXPnj3R0dHBzMyM0aNHU1hYWGnczJkzMTc3x9DQkDFjxlBSUqIWb3l5OWFhYZiamtKgQQOioqLU2rOzs/Hz80NfXx9DQ0MGDhzI1atXlfa0tDR69OiBgYEBhoaGuLm5cfToUeD+SVdjY2O2bt2Ko6Mj2traeHt7c/ny5Up7+cUXX2BnZ4eRkRGDBw+moKBAaSsuLmbChAlYWFigra1Nly5dSE1NVdqTkpJQqVTk5eWprbtnzx6cnJzQ19end+/e5OTkqN33rFmzaNiwIVpaWrRt25bdu3cr7SUlJYwbNw4rKyu0tbVp3Lgx8+bNU9pVKhVbt24FwN7eHgBXV1dUKhUeHh41WuNRJiYmvPbaaxw4cIADBw7w2muvYWJiUm1/IYQQQgghhBDiZSAJYSHEC23SpEmkpKSwbds2EhISSE5O5vjx41X2DQkJYffu3WqJxu3bt3P79m0GDRoEwLRp04iOjiYiIoKzZ8+yfv16LC0tgfvJY29vbwwMDEhOTiYlJUVJXj6cuE1MTCQjI4OEhAS2b99OUVER3t7emJiYkJqayqZNm9i7dy/jxo1Tiy8xMZH09HSSkpL46quv2LJlCzNnzlTrs2bNGvT09Dh8+DALFixg1qxZJCQkAPcTmn5+fuTm5rJ//34SEhK4ePGicm8AAQEBNGzYkNTUVI4dO8bUqVOpV6+e0n779m3mzJnD2rVrSUlJIS8vj8GDB6vFkJmZydatW9m+fTvbt29n//79REdHK+1hYWFs3ryZNWvWcPz4cZo2bYq3tze5ubnVfo63b99m0aJFfPHFF/zwww9kZ2czefJkpX3ZsmXExMSwaNEifvrpJ7y9venbty/nz58HYPny5Wzbto2vv/6ajIwM1q1bh52dXZVrHTlyBIC9e/eSk5PDli1barTGo4KCgvj666+Vffj6668JCgqq9h6FEEIIIYQQQoiXgZSMEEK8sAoKClizZg3r16/H09MTgLi4OKytravs37lzZ5o3b84XX3xBWFiY0n/AgAHo6+tTUFDAsmXLWLFiBYGBgQA0adKELl26ALBx40bKy8tZuXIlKpVKGW9sbExSUhK9evUCQE9Pj5UrVyqlImJjY7l79y5r165FT08PgBUrVuDr68v8+fOVhLOmpiarV69GV1cXZ2dnZs2axZQpU5g9ezYaGvf/fq5169ZERkYC4OjoyIoVK0hMTOS1114jMTGRU6dO8csvv9CoUSMA1q5di7OzM6mpqXTo0IHs7GymTJlCixYtlDkeVlpayooVK3jllVeA+wloJycnjhw5QseOHYH7ief4+HgMDAwAGDZsGImJicyZM4eioiI++eQT4uPjlZq9sbGxJCQksGrVKqZMmVLlZ1NaWsqnn35KkyZNABg3bhyzZs1S2hctWkR4eLiSnJ4/fz779u1j6dKl/Oc//yE7OxtHR0e6dOmCSqWicePGVa4DYG5uDoCZmZlaKYknrfGoL7/8khUrVvDGG/f/efXAgQMZN24cb7/9dpXrFhcXU1xcrLy/detWtTEKIYQQQgghhBC1RU4ICyFeWBcvXqS0tFRJVAIYGRkpZRqqEhISQlxcHABXr15l165djBw5EoD09HSKi4uV5PKj0tLSuHDhAgYGBujr66Ovr4+pqSl3794lMzNT6efi4qJWNzg9PZ02bdooyWAAd3d3ysvLycjIUK61adMGXV1d5X2nTp0oLCxUK9nQunVrtZisrKy4du2ask6jRo2UZDBAy5YtMTY2Jj09Hbh/ojokJAQvLy+io6PV4gaoW7cuHTp0UN63aNFCbTyAnZ2dkgx+NIbMzExKS0txd3dX2uvVq0fHjh3V5niUrq6ukgx+dM5bt25x5coVtTnh/h4+mDMoKIiTJ0/SvHlzJkyYwPfff1/tWlWpyRqPunbtGgkJCXTt2pWuXbuSkJCgxFyVefPmYWRkpLwe/pyEEEIIIYQQQogXhSSEhRD/KMOHD+fixYscOnSIL7/8Ent7e7p27QqAjo7OY8cWFhbi5ubGyZMn1V7nzp1j6NChSr+HE7/P2sPlHeB+bdzy8vIaj4+KiuLMmTO88cYb/Pe//6Vly5Z8++23zzWGms5ZUVFR4/Ht2rXjl19+Yfbs2dy5c4eBAwfy1ltv/aWYnmTSpElqiXEDAwMmTZpUbf9p06aRn5+vvKqqzSyEEEIIIYQQQtQ2SQgLIV5YDg4O1KtXT+2BZfn5+Zw7d67aMWZmZvj7+xMXF0d8fDwjRoxQ2hwdHdHR0SExMbHKse3ateP8+fNYWFjQtGlTtZeRkVG1azo5OZGWlkZRUZFyLSUlBQ0NDbXTzGlpady5c0d5/+OPP6Kvr1/jk6ROTk5cvnxZLdF49uxZ8vLyaNmypXKtWbNmTJw4ke+//57+/fsrJ6YB7t27pzxkDiAjI4O8vDycnJxqFEOTJk3Q1NQkJSVFuVZaWkpqaqpaDE/D0NAQa2trtTnh/h4+PKehoSGDBg0iNjaWjRs3snnz5irrFj84vV1WVvbUa1QlKCioRrWDtbS0MDQ0VHsJIYQQQgghhBAvGqkhLIR4YRkYGBAYGMiUKVMwNTXFwsKCyMhINDQ0lBq/VQkJCcHHx4eysjKlVjCAtrY24eHhhIWFoampibu7O9evX+fMmTMEBwcTEBDAwoUL8fPzY9asWTRs2JBLly6xZcsWwsLCaNiwYZXrBQQEEBkZSWBgIFFRUVy/fp3x48czbNgwpX4wQElJCcHBwUyfPp2srCwiIyMZN26cUj/4Sby8vHBxcSEgIIClS5dy7949xo4dS/fu3Wnfvj137txhypQpvPXWW9jb2/Prr7+SmprKm2++qcxRr149xo8fz/Lly6lbty7jxo3j1VdfVSvL8Th6enq88847ymdia2vLggULuH37NsHBwTWaoypTpkwhMjKSJk2a0LZtW+Li4jh58iTr1q0DYPHixVhZWeHq6oqGhgabNm2iQYMGGBsbV5rLwsICHR0ddu/eTcOGDdHW1sbIyOiJa4iXW1b0G7UdghBCCCGEEEK8FCQhLIR4oS1evJgxY8bg4+ODoaEhYWFhXL58GW1t7WrHeHl5YWVlhbOzc6UH0EVERFC3bl1mzJjBlStXsLKyYsyYMcD9Orc//PAD4eHh9O/fn4KCAmxsbPD09HzsaU9dXV327NnDe++9R4cOHdDV1eXNN99k8eLFav08PT1xdHSkW7duFBcXM2TIEKKiomq8FyqViu+++47x48fTrVs3NDQ06N27Nx999BEAderU4Y8//mD48OFcvXqV+vXr079/f2bOnKkWa3h4OEOHDuW3336ja9eurFq1qsYxAERHR1NeXs6wYcMoKCigffv27NmzBxMTk6ea52ETJkwgPz+f999/n2vXrtGyZUu2bdumPBTPwMCABQsWcP78eerUqUOHDh3YuXNnlcn0unXrsnz5cmbNmsWMGTPo2rUrSUlJT1xDCCGEEEIIIYT4N1BVPE0RRyGEqGVFRUXY2NgQExNT7YnUwsJCbGxsiIuLo3///s85wqoFBQWRl5fH1q1bay2G+Ph4QkNDycvLq7UY/k1u3bqFkZER+fn5Uj5CCCGEEEIIIcTfrqa/h8oJYSHEC+3EiRP8/PPPdOzYkfz8fGbNmgWAn59fpb7l5eXcuHGDmJgYjI2N6du37/MOVwghhBBCCCGEEOKFJglhIcQLb9GiRWRkZKCpqYmbmxvJycnUr1+/Ur/s7Gzs7e1p2LAh8fHx1K0rf8QJIYQQQgghhBBCPExKRgghnsjOzo7Q0FBCQ0NrO5S/zMPDg7Zt27J06dJaiyEqKoqtW7dy8uTJ5752UlISPXr04ObNm1U+kO15el5lNGqrXIeUjBBCCCGEEEII8TxJyQghhPiXexGS3y+CZcuWIX/3KYQQQgghhBBC3CcJYSHEC6+kpARNTc3aDkO8pIyMjGo7BPEPZTd1R22HIMRTy4p+o7ZDEEIIIYQQtUyjtgMQQtS+goICAgIC0NPTw8rKiiVLluDh4VFliYiRI0fi4+Ojdq20tBQLCwtWrVoF3H+424IFC2jatClaWlrY2toyZ84cpf/ly5cZOHAgxsbGmJqa4ufnR1ZWltIeFBSEv78/c+bMwdramubNmwNw6tQpevbsiY6ODmZmZowePZrCwsJK42bOnIm5uTmGhoaMGTOGkpIStXjLy8sJCwvD1NSUBg0aEBUVpdaenZ2Nn58f+vr6GBoaMnDgQK5evaq0p6Wl0aNHDwwMDDA0NMTNzY2jR48CEB8fj7GxMVu3bsXR0RFtbW28vb25fPlypb384osvsLOzw8jIiMGDB1NQUKC0FRcXM2HCBCwsLNDW1qZLly6kpqaqjT99+jR9+vRBX18fS0tLhg0bxo0bN5S92L9/P8uWLUOlUqFSqdT2+NixY7Rv3x5dXV06d+5MRkaG0paZmYmfnx+Wlpbo6+vToUMH9u7dq7a2nZ0dc+fOZeTIkRgYGGBra8vnn3+u1udJn9ejdu/eTZcuXTA2NsbMzAwfHx8yMzOV9qysLFQqFV9//TVdu3ZFR0eHDh06cO7cOVJTU2nfvj36+vr06dOH69evK+MefC8e8PDwYMKECY/9DuTl5RESEqJ8j3r27ElaWlq1sQshhBBCCCGEEC8LSQgLIZg0aRIpKSls27aNhIQEkpOTOX78eJV9Q0JC2L17Nzk5Ocq17du3c/v2bQYNGgTAtGnTiI6OJiIigrNnz7J+/XosLS2B+8ljb29vDAwMSE5OJiUlBX19fXr37q2WuE1MTCQjI4OEhAS2b99OUVER3t7emJiYkJqayqZNm9i7dy/jxo1Tiy8xMZH09HSSkpL46quv2LJlCzNnzlTrs2bNGvT09Dh8+DALFixg1qxZJCQkAPeTxX5+fuTm5rJ//34SEhK4ePGicm8AAQEBNGzYkNTUVI4dO8bUqVOpV6+e0n779m3mzJnD2rVrSUlJIS8vj8GDB6vFkJmZydatW9m+fTvbt29n//79REdHK+1hYWFs3ryZNWvWcPz4cZo2bYq3tze5ubnA/YRlz549cXV15ejRo+zevZurV68ycOBA4H6ZhE6dOjFq1ChycnLIycmhUaNGyvwffPABMTExHD16lLp16zJy5EilrbCwkNdff53ExEROnDhB79698fX1JTs7W+0eYmJiaN++PSdOnGDs2LG88847SmK5pp/Xw4qKipg0aRJHjx4lMTERDQ0N+vXrR3l5uVq/yMhIpk+fzvHjx6lbty5Dhw4lLCyMZcuWkZyczIULF5gxY0a168DjvwMAAwYM4Nq1a+zatYtjx47Rrl07PD09lf0XQgghhBBCCCFeVlIyQoh/uYKCAtasWcP69evx9PQEIC4uDmtr6yr7d+7cmebNm/PFF18QFham9B8wYAD6+voUFBSwbNkyVqxYQWBgIABNmjShS5cuAGzcuJHy8nJWrlyJSqVSxhsbG5OUlESvXr0A0NPTY+XKlUqpiNjYWO7evcvatWvR09MDYMWKFfj6+jJ//nwl4aypqcnq1avR1dXF2dmZWbNmMWXKFGbPno2Gxv2/A2vdujWRkZEAODo6smLFChITE3nttddITEzk1KlT/PLLL0oCde3atTg7O5OamkqHDh3Izs5mypQptGjRQpnjYaWlpaxYsYJXXnkFuJ98dHJy4siRI3Ts2BG4n3iOj4/HwMAAgGHDhpGYmMicOXMoKirik08+IT4+nj59+ij3n5CQwKpVq5gyZQorVqzA1dWVuXPnKuuuXr2aRo0ace7cOZo1a4ampia6uro0aNCg0uc4Z84cunfvDsDUqVN54403uHv3Ltra2rRp04Y2bdoofWfPns23337Ltm3b1BK6r7/+OmPHjgUgPDycJUuWsG/fPpo3b8769etr9Hk97M0331R7v3r1aszNzTl79iytWrVSrk+ePBlvb28A3nvvPYYMGUJiYiLu7u4ABAcHEx8fX2n+hz3uO3DgwAGOHDnCtWvX0NLSAmDRokVs3bqVb775htGjR1c5Z3FxMcXFxcr7W7duPTYGIYQQQgghhBCiNsgJYSH+5S5evEhpaamSqIT7NVcflGmoSkhICHFxcQBcvXqVXbt2KSdM09PTKS4uVpLLj0pLS+PChQsYGBigr6+Pvr4+pqam3L17V608gIuLi1rd4PT0dNq0aaMkFwHc3d0pLy9XK3fQpk0bdHV1lfedOnWisLBQrWRD69at1WKysrLi2rVryjqNGjVSO03bsmVLjI2NSU9PB+6fqA4JCcHLy4vo6Gi1uAHq1q1Lhw4dlPctWrRQGw/3Sy48SAY/GkNmZialpaVKghOgXr16dOzYUZkjLS2Nffv2KXuor6+vJKgfjacqD++BlZUVgLJ+YWEhkydPxsnJCWNjY/T19UlPT690QvjhOVQqFQ0aNFDbx5p8Xg87f/48Q4YMwcHBAUNDQ+zs7AAeu+6DxLKLi4vatQdx1OT+H+zBgzFpaWkUFhZiZmamtr+//PLLY/d23rx5GBkZKa+Hv0NCCCGEEEIIIcSLQk4ICyGe2vDhw5k6dSqHDh3i4MGD2Nvb07VrVwB0dHQeO7awsBA3NzfWrVtXqc3c3Fz5+eFE4rP2cHkHuJ/MfLQsweNERUUxdOhQduzYwa5du4iMjGTDhg3069fvucVQWFionLZ91IMEb03Xf3BS+8H6kydPJiEhgUWLFtG0aVN0dHR46623KtVi/qv38ChfX18aN25MbGws1tbWlJeX06pVq8eu+yD2R689KY7HxV5YWIiVlRVJSUmVxhkbG1c757Rp05g0aZLy/tatW5IUFkIIIYQQQgjxwpETwkL8yzk4OFCvXj21B5bl5+dz7ty5aseYmZnh7+9PXFwc8fHxjBgxQmlzdHRER0eHxMTEKse2a9eO8+fPY2FhQdOmTdVeRkZG1a7p5OREWloaRUVFyrWUlBQ0NDTUTjOnpaVx584d5f2PP/6Ivr5+jRNzTk5OXL58We1E8dmzZ8nLy6Nly5bKtWbNmjFx4kS+//57+vfvr5yYBrh3757ykDmAjIwM8vLycHJyqlEMTZo0QVNTk5SUFOVaaWkpqampSgzt2rXjzJkz2NnZVdrHB8l0TU1NysrKarTmw1JSUggKCqJfv364uLjQoEEDtQfS1URNP68H/vjjDzIyMpg+fTqenp44OTlx8+bNp479WWjXrh2///47devWrbS39evXr3aclpYWhoaGai8hhBBCCCGEEOJFIyeEhfiXMzAwIDAwkClTpmBqaoqFhQWRkZFoaGgopy+rEhISgo+PD2VlZUqtYABtbW3Cw8MJCwtDU1MTd3d3rl+/zpkzZwgODiYgIICFCxfi5+fHrFmzaNiwIZcuXWLLli2EhYXRsGHDKtcLCAggMjKSwMBAoqKiuH79OuPHj2fYsGFq9WhLSkoIDg5m+vTpZGVlERkZybhx45T6wU/i5eWFi4sLAQEBLF26lHv37jF27Fi6d+9O+/btuXPnDlOmTOGtt97C3t6eX3/9ldTUVLX6t/Xq1WP8+PEsX76cunXrMm7cOF599VW1shyPo6enxzvvvKN8Jra2tixYsIDbt28THBwMwLvvvktsbCxDhgwhLCwMU1NTLly4wIYNG1i5ciV16tTBzs6Ow4cPk5WVpZTmqAlHR0e2bNmCr68vKpWKiIiIpz75W9PP6wETExPMzMz4/PPPsbKyIjs7m6lTpz7Vms+Kl5cXnTp1wt/fnwULFtCsWTOuXLnCjh076NevH+3bt6+VuMSLJyv6jdoOQQghhBBCCCGempwQFkKwePFiOnXqhI+PD15eXri7u+Pk5IS2tna1Y7y8vLCyssLb27vSA+giIiJ4//33mTFjBk5OTgwaNEipz6qrq8sPP/yAra0t/fv3x8nJieDgYO7evfvYE5W6urrs2bOH3NxcOnTowFtvvYWnpycrVqxQ6+fp6YmjoyPdunVj0KBB9O3bl6ioqBrvhUql4rvvvsPExIRu3brh5eWFg4MDGzduBKBOnTr88ccfDB8+nGbNmjFw4ED69OnDzJkz1WINDw9n6NChuLu7o6+vr4yvqejoaN58802GDRtGu3btuHDhAnv27MHExAQAa2trUlJSKCsro1evXri4uBAaGoqxsbGS/J48eTJ16tShZcuWmJubV6rFW53FixdjYmJC586d8fX1xdvbm3bt2j1V/DX9vB7Q0NBgw4YNHDt2jFatWjFx4kQWLlz4VGs+KyqVip07d9KtWzdGjBhBs2bNGDx4MJcuXaoymS2EEEIIIYQQQrxMVBUVFRW1HYQQ4sVSVFSEjY0NMTExyonURxUWFmJjY0NcXBz9+/d/zhFWLSgoiLy8PLZu3VprMcTHxxMaGkpeXl6txSBeDLdu3cLIyIj8/HwpHyGEEEIIIYQQ4m9X099DpWSEEIITJ07w888/07FjR/Lz85k1axYAfn5+lfqWl5dz48YNYmJiMDY2pm/fvs87XCGEEEIIIYQQQgjxJ0lCWAgBwKJFi8jIyEBTUxM3NzeSk5OrfIBWdnY29vb2NGzYkPj4eOrWlT9GhBBCCCGEEEIIIV4WUjJCCCFErbKzsyM0NJTQ0NDaDuWxnrYkiZSMEEIIIYQQQgjxPNX091B5qJwQQgghhBBCCCGEEEL8S8i/9RZCCPGvVlJSgqamZm2HIYQQz4Xd1B21HcJflhX9Rm2HIIQQQgjxUpMTwkIIIf5WBQUFBAQEoKenh5WVFUuWLMHDw6PKEhEjR47Ex8dH7VppaSkWFhasWrUKuP9gwwULFtC0aVO0tLSwtbVlzpw5Sv/Lly8zcOBAjI2NMTU1xc/Pj6ysLKU9KCgIf39/5syZg7W1Nc2bNwfg1KlT9OzZEx0dHczMzBg9ejSFhYXPfkOEEEIIIYQQQohaJAlhIYQQf6tJkyaRkpLCtm3bSEhIIDk5mePHj1fZNyQkhN27d5OTk6Nc2759O7dv32bQoEEATJs2jejoaCIiIjh79izr16/H0tISuJ889vb2xsDAgOTkZFJSUtDX16d3796UlJQocyYmJpKRkUFCQgLbt2+nqKgIb29vTExMSE1NZdOmTezdu5dx48bV+D6Li4u5deuW2ksIIYQQQgghhHjRSMkIIYQQf5uCggLWrFnD+vXr8fT0BCAuLg5ra+sq+3fu3JnmzZvzxRdfEBYWpvQfMGAA+vr6FBQUsGzZMlasWEFgYCAATZo0oUuXLgBs3LiR8vJyVq5ciUqlUsYbGxuTlJREr169ANDT02PlypVKqYjY2Fju3r3L2rVr0dPTA2DFihX4+voyf/58JeH8OPPmzWPmzJl/dquEEEIIIYQQQojnQk4ICyGE+NtcvHiR0tJSOnbsqFwzMjJSyjRUJSQkhLi4OACuXr3Krl27GDlyJADp6ekUFxcryeVHpaWlceHCBQwMDNDX10dfXx9TU1Pu3r1LZmam0s/FxUWtbnB6ejpt2rRRksEA7u7ulJeXk5GRUaN7nTZtGvn5+crr8uXLNRonhBBCCCGEEEI8T3JCWAghxAtl+PDhTJ06lUOHDnHw4EHs7e3p2rUrADo6Oo8dW1hYiJubG+vWravUZm5urvz8cOL3WdHS0kJLS+uZzyuEEEIIIYQQQjxLckJYCCHE38bBwYF69eqRmpqqXMvPz+fcuXPVjjEzM8Pf35+4uDji4+MZMWKE0ubo6IiOjg6JiYlVjm3Xrh3nz5/HwsKCpk2bqr2MjIyqXdPJyYm0tDSKioqUaykpKWhoaDz2NLMQQgghhBBCCPGykRPCQggh/jYGBgYEBgYyZcoUTE1NsbCwIDIyEg0NDaXGb1VCQkLw8fGhrKxMqRUMoK2tTXh4OGFhYWhqauLu7s7169c5c+YMwcHBBAQEsHDhQvz8/Jg1axYNGzbk0qVLbNmyhbCwMBo2bFjlegEBAURGRhIYGEhUVBTXr19n/PjxDBs2rEb1g4UQ4mWRFf1GbYcghBBCCCFqmSSEhRBC/K0WL17MmDFj8PHxwdDQkLCwMC5fvoy2tna1Y7y8vLCyssLZ2bnSA+giIiKoW7cuM2bM4MqVK1hZWTFmzBgAdHV1+eGHHwgPD6d///4UFBRgY2ODp6cnhoaG1a6nq6vLnj17eO+99+jQoQO6urq8+eabLF68+NlsghBCCCGEEEII8YJQVVRUVNR2EEIIIf49ioqKsLGxISYmhuDg4Cr7FBYWYmNjQ1xcHP3793/OET4bt27dwsjIiPz8/Mcmo4UQQgghhBBCiGehpr+HyglhIYQQf6sTJ07w888/07FjR/Lz85k1axYAfn5+lfqWl5dz48YNYmJiMDY2pm/fvs87XCGEEEIIIYQQ4h9NEsJCCCH+dosWLSIjIwNNTU3c3NxITk6mfv36lfplZ2djb29Pw4YNiY+Pp25d+d+UEEIIIYQQQgjxLGnUdgBCCPGAnZ0dS5cure0wnqthw4Yxd+7c2g7jb+Xq6sqxY8coLCwkNzeXhIQEXFxc1PrEx8djbGyMnZ0dFRUVBAcH8/7779dSxOo+/fRTfH19azsMIYQQQgghhBDimZCEsBDipZWUlIRKpSIvL++5renh4UFoaOgzmSstLY2dO3cyYcKEZzLf03iW9/F3mDx5MomJic90zqioKNq2bfvU40aOHMnx48dJTk5+pvEIIYQQQgghhBC1Qf4trhBCAKWlpdSrV++5rvnRRx8xYMAA9PX1n+u6LwN9ff0XZl80NTUZOnQoy5cvp2vXrrUdjhBC/CV2U3fUdgj/CFnRb9R2CEIIIYQQf5qcEBZCPBcFBQUEBASgp6eHlZUVS5Yseewp1aysLFQqFSdPnlSu5eXloVKpSEpKIisrix49egBgYmKCSqUiKCgIgN27d9OlSxeMjY0xMzPDx8eHzMzMSnNv3LiR7t27o62tzbp16/jjjz8YMmQINjY26Orq4uLiwldffaWMCwoKYv/+/SxbtgyVSoVKpSIrKwuA06dP06dPH/T19bG0tGTYsGHcuHGj2v0oKyvjm2++qVSKwM7OjtmzZzNkyBD09PSwsbHhP//5j1qfvLw8QkJCMDc3x9DQkJ49e5KWlqa0PzgJ+8UXX2BnZ4eRkRGDBw+moKDgsfdRVlZGcHAw9vb26Ojo0Lx5c5YtW6a2dlBQEP7+/ixatAgrKyvMzMx49913KS0tVfoUFxczefJkbGxs0NPT45VXXiEpKUltnvj4eGxtbdHV1aVfv3788ccfau2PnuYtLy9n1qxZNGzYEC0tLdq2bcvu3bvVxoSHh9OsWTN0dXVxcHAgIiJCiSs+Pp6ZM2eSlpam3HN8fHyN9hPA19eXbdu2cefOnao+TiGEEEIIIYQQ4qUhCWEhxHMxadIkUlJS2LZtGwkJCSQnJ3P8+PE/PV+jRo3YvHkzABkZGeTk5CjJy6KiIiZNmsTRo0dJTExEQ0ODfv36UV5erjbH1KlTee+990hPT8fb25u7d+/i5ubGjh07OH36NKNHj2bYsGEcOXIEgGXLltGpUydGjRpFTk4OOTk5NGrUiLy8PHr27ImrqytHjx5l9+7dXL16lYEDB1Yb/08//UR+fj7t27ev1LZw4ULatGnDiRMnlBgTEhKU9gEDBnDt2jV27drFsWPHaNeuHZ6enuTm5ip9MjMz2bp1K9u3b2f79u3s37+f6Ojox95HeXk5DRs2ZNOmTZw9e5YZM2bwP//zP3z99ddq8e3bt4/MzEz27dvHmjVriI+PV5KrAOPGjePQoUNs2LCBn376iQEDBtC7d2/Onz8PwOHDhwkODmbcuHGcPHmSHj168OGHHz728162bBkxMTEsWrSIn376CW9vb/r27avMCWBgYEB8fDxnz55l2bJlxMbGsmTJEgAGDRrE+++/j7Ozs3LPgwYNqvF+tm/fnnv37nH48OFqYywuLubWrVtqLyGEEEIIIYQQ4kUjJSOEEH+7goIC1qxZw/r16/H09AQgLi4Oa2vrPz1nnTp1MDU1BcDCwgJjY2Ol7c0331Tru3r1aszNzTl79iytWrVSroeGhtK/f3+1vpMnT1Z+Hj9+PHv27OHrr7+mY8eOGBkZoampia6uLg0aNFD6rVixAldXV7WHw61evZpGjRpx7tw5mjVrVin+S5cuUadOHSwsLCq1ubu7M3XqVACaNWtGSkoKS5Ys4bXXXuPAgQMcOXKEa9euoaWlBcCiRYvYunUr33zzDaNHjwbun6iNj4/HwMAAuP/wusTERObMmVPtfdSpU4eZM2cq7+3t7Tl06BBff/21WnLbxMSEFStWUKdOHVq0aMEbb7xBYmIio0aNIjs7m7i4OLKzs5XPd/LkyezevZu4uDjmzp3LsmXL6N27N2FhYco9Hjx4sNKJ34ctWrSI8PBwBg8eDMD8+fPZt28fS5cuVU5QT58+XelvZ2fH5MmT2bBhA2FhYejo6KCvr0/dunXV7rmm+6mrq4uRkRGXLl2qNsZ58+ap7Z8QQgghhBBCCPEikoSwEOJvd/HiRUpLS+nYsaNyzcjIiObNm/8t650/f54ZM2Zw+PBhbty4oZwMzs7OVksIP3o6t6ysjLlz5/L111/z22+/UVJSQnFxMbq6uo9dLy0tjX379lVZ8zYzM7PKhPCdO3fQ0tJCpVJVauvUqVOl90uXLlXWKiwsxMzMrNJ8D5fFsLOzU5LBAFZWVly7du2x9wHwn//8h9WrV5Odnc2dO3coKSmp9CA2Z2dn6tSpozb3qVOnADh16hRlZWWV7rm4uFiJOT09nX79+lW6x+oSwrdu3eLKlSu4u7urXXd3d1cr7bBx40aWL19OZmYmhYWF3Lt3D0NDw8feb033E0BHR4fbt29XO9e0adOYNGmSWtyNGjV67PpCCCGEEEIIIcTzJglhIcQLSUPjfkWbiooK5drDdWofx9fXl8aNGxMbG4u1tTXl5eW0atWKkpIStX56enpq7xcuXMiyZctYunQpLi4u6OnpERoaWmncowoLC/H19WX+/PmV2qysrKocU79+fW7fvk1JSQmampo1uq8Ha1lZWVWqyQuonZJ+9AF5KpWqUsmMR23YsIHJkycTExNDp06dMDAwYOHChZXKJDxu7sLCQurUqcOxY8fUksbA3/qQuEOHDhEQEMDMmTPx9vbGyMiIDRs2EBMT89hxNd1PgNzcXMzNzaudS0tLSzllLIQQQgghhBBCvKgkISyE+Ns5ODhQr149UlNTsbW1BSA/P59z587RrVu3Ksc8SLzl5OTg6uoKoPaAOUBJpJaVlSnX/vjjDzIyMoiNjaVr167A/bIANZGSkoKfnx9vv/02cL/swrlz52jZsqXamg+vB9CuXTs2b96MnZ0ddevW7I/VB6duz549W+kE7o8//ljpvZOTk7LW77//Tt26dbGzs6vRWlWp6j5SUlLo3LkzY8eOVa49ekr2SVxdXSkrK+PatWvK/j/KycmpUpL50Xt+mKGhIdbW1qSkpNC9e3e1eB+cOj948CCNGzfmgw8+UNofLe9Q3WdXk/3MzMzk7t27yndRCCGEEEIIIYR4WUlCWAjxtzMwMCAwMJApU6ZgamqKhYUFkZGRaGhoVFkyAe7/8/xXX32V6Oho7O3tuXbtmlqNWIDGjRujUqnYvn07r7/+Ojo6OpiYmGBmZsbnn3+OlZUV2dnZSj3eJ3F0dOSbb77h4MGDmJiYsHjxYq5evaqWELazs+Pw4cNkZWWhr6+Pqakp7777LrGxsQwZMoSwsDBMTU25cOECGzZsYOXKlZVOysL9hHe7du04cOBApYRwSkoKCxYswN/fn4SEBDZt2sSOHTsA8PLyolOnTvj7+7NgwQKaNWvGlStX2LFjB/369avyIXVVqeo+HB0dWbt2LXv27MHe3p4vvviC1NRU7O3tazQn3K8HHBAQwPDhw4mJicHV1ZXr16+TmJhI69ateeONN5gwYQLu7u4sWrQIPz8/9uzZ89j6wQBTpkwhMjKSJk2a0LZtW+Li4jh58iTr1q0D7n922dnZbNiwgQ4dOrBjxw6+/fbbSvf8yy+/cPLkSRo2bIiBgUGN9zM5ORkHBweaNGlS470QQogXUVb0G7UdghBCCCGEqGUatR2AEOLfYfHixXTq1AkfHx+8vLxwd3fHyckJbW3tasesXr2ae/fu4ebmRmhoKB9++KFau42NDTNnzmTq1KlYWloybtw4NDQ02LBhA8eOHaNVq1ZMnDiRhQsX1ijG6dOn065dO7y9vfHw8KBBgwb4+/ur9Zk8eTJ16tShZcuWmJubKw9PS0lJoaysjF69euHi4kJoaCjGxsZK6YuqhISEKAnNh73//vscPXoUV1dXPvzwQxYvXoy3tzdwvzzDzp076datGyNGjKBZs2YMHjyYS5cuYWlpWaP7rO4+/t//+3/079+fQYMG8corr/DHH3+onRauqbi4OIYPH877779P8+bN8ff3Vzsd/uqrrxIbG8uyZcto06YN33//faVk/6MmTJjApEmTeP/993FxcWH37t1s27YNR0dHAPr27cvEiRMZN24cbdu25eDBg0RERKjN8eabb9K7d2969OiBubk5X331VY3386uvvmLUqFFPvRdCCCGEEEIIIcSLRlXxcIFOIYR4ToqKirCxsSEmJobg4ODaDqdW3Llzh+bNm7Nx40blQXJ2dnaEhoYSGhpau8EJxZkzZ+jZsyfnzp3DyMioxuNu3bqFkZER+fn5T3y4nRBCCCGEEEII8VfV9PdQKRkhhHguTpw4wc8//0zHjh3Jz89n1qxZAPj5+dVyZLVHR0eHtWvXcuPGjdoORTxGTk4Oa9eufapksBBCCCGEEEII8aKShLAQ4rlZtGgRGRkZaGpq4ubmRnJyMvXr16/tsGqVh4dHbYcgnsDLy6u2QxBCCCGEEEIIIZ4ZKRkhhBDimVq1ahUbN27k+++/r+1QnomSkhKaNWvGN998U+OH9oGUjBBCCCGEEEII8XzV9PdQeaicEEL8y0VFRdG2bdtnMtfdu3eJiIggMjJSuRYbG0vXrl0xMTHBxMQELy8vjhw5orSXlpYSHh6Oi4sLenp6WFtbM3z4cK5cufLYtXJychg6dCjNmjVDQ0PjT9ddvnr1KkFBQVhbW6Orq0vv3r05f/680q6pqcnkyZMJDw//U/MLIYQQQgghhBAvEikZIYQQL6CKigrKysqoW/fl+mP6m2++wdDQEHd3d+VaUlISQ4YMoXPnzmhrazN//nx69erFmTNnsLGx4fbt2xw/fpyIiAjatGnDzZs3ee+99+jbty9Hjx6tdq3i4mLMzc2ZPn06S5Ys+VPxVlRU4O/vT7169fjuu+8wNDRk8eLFeHl5cfbsWfT09AAICAjg/fff58yZMzg7O/+ptYQQ4kVgN3VHbYcgxHOVFf1GbYcghBBCvHDkhLAQQjwH5eXlzJs3D3t7e3R0dGjTpg3ffPON0p6UlIRKpWLXrl24ubmhpaXFgQMHCAoKwt/fX22u0NBQtdrD5eXlLFiwgKZNm6KlpYWtrS1z5sxR2sPDw2nWrBm6uro4ODgQERFBaWkpAPHx8cycOZO0tDRUKhUqlYr4+HgA8vLyCAkJwdzcHENDQ3r27ElaWtpj73PDhg34+vqqXVu3bh1jx46lbdu2tGjRgpUrV1JeXk5iYiIARkZGJCQkMHDgQJo3b86rr77KihUrOHbsGNnZ2dWuZWdnx7Jlyxg+fHi1D3x7sH+LFi3CysoKMzMz3n33XeX+z58/z48//sgnn3xChw4daN68OZ988gl37tzhq6++UuYxMTHB3d2dDRs2PPb+hRBCCCGEEEKIF93LdfRMCCFeUvPmzePLL7/k008/xdHRkR9++IG3334bc3NzunfvrvSbOnUqixYtwsHBARMTkxrNPW3aNGJjY1myZAldunQhJyeHn3/+WWk3MDAgPj4ea2trTp06xahRozAwMCAsLIxBgwZx+vRpdu/ezd69ewGU5OqAAQPQ0dFh165dGBkZ8dlnn+Hp6cm5c+cwNTWtMpYDBw4wbNiwx8Z7+/ZtSktLq50DID8/H5VKhbGxsXLNw8MDOzs7JWFdU/v27cPKyop9+/Zx4cIFBg0aRNu2bRk1ahTFxcUAaGtrK/01NDSUhHxISIhyvWPHjiQnJ1e7TnFxsTIf3K/dJIQQQgghhBBCvGgkISyEEH+z4uJi5s6dy969e+nUqRMADg4OHDhwgM8++0wtITxr1ixee+21Gs9dUFDAsmXLWLFiBYGBgQA0adKELl26KH2mT5+u/GxnZ8fkyZPZsGEDYWFh6OjooK+vT926dWnQoIHS78CBAxw5coRr166hpaUFwKJFi9i6dSvffPMNo0ePrhRLXl4e+fn5WFtbPzbm8PBwrK2t8fLyqrL97t27hIeHM2TIELUi+La2tlhZWdVgV9SZmJiwYsUK6tSpQ4sWLXjjjTdITExk1KhRtGjRAltbW6ZNm8Znn32Gnp4eS5Ys4ddffyUnJ0dtHmtray5dulTtOvPmzWPmzJlPHZ8QQgghhBBCCPE8SUJYCCH+ZhcuXOD27duVEr0lJSW4urqqXWvfvv1TzZ2enk5xcTGenp7V9tm4cSPLly8nMzOTwsJC7t2799injQKkpaVRWFiImZmZ2vU7d+6QmZlZ5Zg7d+4A6qdtHxUdHc2GDRtISkqqsl9paSkDBw6koqKCTz75RK1t7dq1j425Os7OztSpU0d5b2VlxalTpwCoV68eW7ZsITg4GFNTU+rUqYOXlxd9+vShoqJCbR4dHR1u375d7TrTpk1j0qRJyvtbt27RqFGjPxWzEEIIIYQQQgjxd5GEsBBC/M0KCwsB2LFjBzY2NmptD07fPvDgIWYPaGhoVEpMPqh/C/eTlI9z6NAhAgICmDlzJt7e3hgZGbFhwwZiYmKeGLOVlRVJSUmV2h4u4/AwMzMzVCoVN2/erLJ90aJFREdHs3fvXlq3bl2p/UEy+NKlS/z3v/99YtK6purVq6f2XqVSUV5errx3c3Pj5MmT5OfnU1JSgrm5Oa+88kql5Hxubi7m5ubVrqOlpVXp8xRCCCGEEEIIIV40khAWQoi/WcuWLdHS0iI7O1utPERNmJubc/r0abVrJ0+eVJKcjo6O6OjokJiYqFbv9oGDBw/SuHFjPvjgA+Xao2UPNDU1KSsrU7vWrl07fv/9d+rWrYudnV2NYtXU1KRly5acPXuWXr16qbUtWLCAOXPmsGfPnipPQT9IBp8/f559+/ZVOpn8PDyonXz+/HmOHj3K7Nmz1dpPnz5d6US3EEIIIYQQQgjxspGEsBBC/M0MDAyYPHkyEydOpLy8nC5dupCfn09KSgqGhoZK7d+q9OzZk4ULF7J27Vo6derEl19+qZaY1NbWJjw8nLCwMDQ1NXF3d+f69eucOXOG4OBgHB0dyc7OZsOGDXTo0IEdO3bw7bffqq1hZ2fHL7/8wsmTJ2nYsCEGBgZ4eXnRqVMn/P39WbBgAc2aNePKlSvs2LGDfv36VVvawtvbmwMHDhAaGqpcmz9/PjNmzGD9+vXY2dnx+++/A6Cvr4++vj6lpaW89dZbHD9+nO3bt1NWVqb0MTU1RVNTE4Dhw4djY2PDvHnzlLlPnjwJ3D/RfP36dU6ePKkkpmtq06ZNmJubY2try6lTp3jvvffw9/evlNROTk6ulCQWQoiXTVb0G7UdghBCCCGEqGWSEBZCiOdg9uzZmJubM2/ePC5evIixsTHt2rXjf/7nfx47ztvbm4iICMLCwrh79y4jR45k+PDhSg1cgIiICOrWrcuMGTO4cuUKVlZWjBkzBoC+ffsyceJExo0bR3FxMW+88QYRERFERUUp49988022bNlCjx49yMvLIy4ujqCgIHbu3MkHH3zAiBEjuH79Og0aNKBbt25YWlpWG29wcDDt27cnPz9fOXH7ySefUFJSwltvvaXWNzIykqioKH777Te2bdsGQNu2bdX67Nu3Dw8PDwCys7PR0NBQa3/4xO6xY8dYv349jRs3Jisr67H7+rCcnBwmTZrE1atXsbKyYvjw4URERKj1OXToEPn5+ZXuQQghhBBCCCGEeNmoKh4tTimEEEL8BQMGDKBdu3ZMmzattkN5ZgYNGkSbNm2emMB/2K1btzAyMiI/P/+Z1UMWQgghhBBCCCGqU9PfQzWqbRFCCCH+hIULF6Kvr1/bYTwzJSUluLi4MHHixNoORQghhBBCCCGE+MvkhLAQQgjxN5ATwkIIIYQQQgghnic5ISyEEA+Jj4/H2Nj4b18nKysLlUqlPOxM/H2CgoLw9/dX3ldUVDB69GhMTU3lMxBCCCGEEEIIIaohCWEhxL/CoEGDOHfuXG2H8UxI0rlqu3fvJj4+nu3bt5OTk0OrVq2eOEb2UgghhBBCCCHEv03d2g5ACCGeBx0dHXR0dGo7DCoqKigrK6Nu3Rfjj9/S0lLq1atX22E8E5mZmVhZWdG5c+faDkUIIV5YdlN31HYI4m+WFf1GbYcghBBCiBecnBAWQrzwysvLmTdvHvb29ujo6NCmTRu++eYbpT0pKQmVSsWOHTto3bo12travPrqq5w+fVrp82jJiMzMTPz8/LC0tERfX58OHTqwd+9etXXt7OyYO3cuI0eOxMDAAFtbWz7//HO1PkeOHMHV1RVtbW3at2/PiRMn1NofxLZr1y7c3NzQ0tLiwIEDFBcXM2HCBCwsLNDW1qZLly6kpqYq427evElAQADm5ubo6Ojg6OhIXFwcAPb29gC4urqiUqnw8PBQxq1cuRInJye0tbVp0aIFH3/8sdL24DTsxo0b6d69O9ra2qxbt47y8nJmzZpFw4YN0dLSom3btuzevbvSuC1bttCjRw90dXVp06YNhw4dUrvXAwcO0LVrV3R0dGjUqBETJkygqKio2s81LS2NHj16YGBggKGhIW5ubhw9ehSAqKgo2rZtq9Z/6dKl2NnZVTlXUFAQ48ePJzs7G5VKpfTbvXs3Xbp0wdjYGDMzM3x8fMjMzFTG/dm9FEIIIYQQQgghXlaSEBZCvPDmzZvH2rVr+fTTTzlz5gwTJ07k7bffZv/+/Wr9pkyZQkxMDKmpqZibm+Pr60tpaWmVcxYWFvL666+TmJjIiRMn6N27N76+vmRnZ6v1i4mJURK9Y8eO5Z133iEjI0OZw8fHh5YtW3Ls2DGioqKYPHlyletNnTqV6Oho0tPTad26NWFhYWzevJk1a9Zw/PhxmjZtire3N7m5uQBERERw9uxZdu3aRXp6Op988gn169cH7iehAfbu3UtOTg5btmwBYN26dcyYMYM5c+aQnp7O3LlziYiIYM2aNZViee+990hPT8fb25tly5YRExPDokWL+Omnn/D29ub/Y+/Oo6qq98f/PxFlnidBBXFgThDHcDYHRCU0EzUcc8gp0gLUqyhqCimWmmXmAE6FfnLMMTQ1RXIMSiEVVLBCvQmCiCLI/v3Bj/31CChUN+ze12Ots9Y5+z299j4nW7zO+7z2q6++ypUrVzTGzZw5k5CQEJKSknB2dmbIkCEUFxcDpQn2Xr16MWDAAH788Ue2bNnCiRMnmDx5cqXva1BQEA0aNODMmTOcO3eO6dOn/+HdysuWLVOT2llZWWpy/f79+7z77rucPXuWw4cPU6tWLfr3709JSclfci2fVFhYSF5ensZDCCGEEEIIIYR40bwYv1kWQohKFBYWsnDhQg4dOoSPjw8AjRs35sSJE6xatYrOnTurfefMmUOPHj0AWL9+PQ0aNGDHjh0EBgaWm9fLywsvLy/19fz589mxYwe7d+/WSGL27t2biRMnAjBt2jQ++ugjjhw5gouLC1988QUlJSWsXbsWPT09PDw8+OWXX5gwYUK59ebNm6fGdv/+fVauXElsbCx+fn4ArF69mvj4eNauXUtoaCiZmZl4e3vTqlUrAI2dsdbW1gBYWlpia2urcf5LlizhtddeA0p3v6akpLBq1SpGjBih9psyZYraByA6Oppp06YxePBgAD744AOOHDnC0qVL+eSTT9R+ISEh9OlT+jPUuXPn4uHhQVpaGq6urkRGRhIUFMSUKVMAcHJyYvny5XTu3JmVK1eip6dX7ppkZmYSGhqKq6urOuaPMjU1xdjYGG1tbY1rMmDAAI1+69atw9rampSUFF566aU/fS2fFBkZydy5c//wOQghhBBCCCGEEH8H2SEshHihpaWlUVBQQI8ePTAyMlIfGzZs0PjpP6AmjAEsLCxwcXEhNTW1wnnz8/MJCQnBzc0NMzMzjIyMSE1NLbdD2NPTU32upaWFra0tt2/fBlB3+z6Z7HwyhieVJXahdDdtUVER7du3V4/VqVOHNm3aqPFOmDCBuLg4mjdvTlhYGCdPnnzmdbp//z7p6emMHj1a4zq9//775a7Tk7Hk5eXx22+/acQC0L59+3LX7slrYWdnB6Bei+TkZGJjYzXW9vX1paSkhGvXrlUY87vvvsuYMWPo3r07UVFR5eL8K1y5coUhQ4bQuHFjTExM1MT60+/zk6pzLZ80Y8YMcnNz1ceNGzf+6tMRQgghhBBCCCH+NNkhLIR4oeXn5wOwd+9e6tevr9Gmq6v7h+cNCQkhPj6e6OhomjZtir6+Pq+//jqPHj3S6Pd0CQMtLS213EB1GBoaVqu/n58fGRkZ7Nu3j/j4eLp168akSZOIjo6usH/ZdVq9ejVt27bVaNPW1v5TsZR58lpoaWkBqNciPz+ft956i+Dg4HLjHBwcKpwvIiKCN954g71797J//37mzJlDXFwc/fv3p1atWiiKotG/svIfz+Lv70/Dhg1ZvXo19erVo6SkhJdeeqnc+/yk6lzLJ+nq6v6pz6QQQgghhBBCCPF3kISwEOKF5u7ujq6uLpmZmRrlISry/fffq8nHnJwcLl++jJubW4V9ExISGDlyJP379wdKk4DXr1+vVmxubm5s3LiRhw8fqruEv//+++eOa9KkCTo6OiQkJNCwYUOgNNl55swZteQClJaGGDFiBCNGjKBjx46EhoYSHR2Njo4OAI8fP1b71q1bl3r16nH16lWCgoKqfA4mJibUq1ePhIQEjeubkJBAmzZtqjxPixYtSElJoWnTplUeA+Ds7IyzszNTp05lyJAhxMTE0L9/f6ytrbl58yaKoqjJ56SkpGrNfefOHS5dusTq1avp2LEjUHrjuyf9lddSCCH+Ca5H9anpEIQQQgghRA2ThLAQ4oVmbGxMSEgIU6dOpaSkhA4dOpCbm0tCQgImJiYa9VznzZuHpaUldevWZebMmVhZWdGvX78K53VycmL79u34+/ujpaVFeHh4tXf+vvHGG8ycOZOxY8cyY8YMrl+/XukO3icZGhoyYcIEQkNDsbCwwMHBgUWLFlFQUMDo0aMBmD17Ni1btsTDw4PCwkL27NmjJrdtbGzQ19fnwIEDNGjQAD09PUxNTZk7dy7BwcGYmprSq1cvCgsLOXv2LDk5Obz77ruVxhMaGsqcOXNo0qQJzZs3JyYmhqSkJDZv3lzlazFt2jRefvllJk+ezJgxYzA0NCQlJYX4+HhWrFhRrv+DBw8IDQ3l9ddfp1GjRvzyyy+cOXNGrfnbpUsX/v3vf7No0SJef/11Dhw4wP79+zExMalyTObm5lhaWvL5559jZ2dHZmYm06dP1+jzV19LIYQQQgghhBDiRSc1hIUQL7z58+cTHh5OZGQkbm5u9OrVi71799KoUSONflFRUbzzzju0bNmSmzdv8vXXX6s7QJ/24YcfYm5uTrt27fD398fX15cWLVpUKy4jIyO+/vprfvrpJ7y9vZk5cyYffPBBlcZGRUUxYMAAhg0bRosWLUhLS+PgwYOYm5sDpTtXZ8yYgaenJ506dUJbW5u4uDgAateuzfLly1m1ahX16tUjICAAgDFjxrBmzRpiYmJo1qwZnTt3JjY2ttx1elpwcDDvvvsu7733Hs2aNePAgQPs3r27Wjd58/T05NixY1y+fJmOHTvi7e3N7NmzqVevXoX9tbW1uXPnDsOHD8fZ2ZnAwED8/PzUm7K5ubnx6aef8sknn+Dl5cXp06cJCQmpcjwAtWrVIi4ujnPnzvHSSy8xdepUFi9erNHnr76WQgghhBBCCCHEi05LebpIoxBC/MMcPXqUrl27kpOTg5mZWU2HIwRQesM+U1NTcnNzq7WzWQghhBBCCCGE+COq+neo7BAWQgghhBBCCCGEEEKI/xGSEBZC/GlHjx5FS0uLu3fv1nQof5vr16+jpaVV7Rud/Sd06dJF42Z0FYmNjf3bdk9funQJW1tb7t2797es91eYPn06b7/9dk2HIYQQQgghhBBC/MdJQlgI8ae1a9eOrKwsTE1Na2T9Ll26oCjK/2y5iO3btzN//nz1taOjI0uXLtXoM2jQIC5fvvy3xDNjxgzefvttjI2N1WOKovD555/Ttm1bjIyMMDMzo1WrVixdupSCggIAVq9eTceOHTE3N8fc3Jzu3btz+vRpjbkVRWH27NnY2dmhr69P9+7duXLlyjPjycrK4o033sDZ2ZlatWpVmDwPCQlh/fr1XL16tVxbbGwssbGx1b8QQgghhBBCCCHEC6h2TQcghPjn09HRwdbWtqbD+K9TVFREnTp1ntvPwsLiuX309fXR19f/K8J6pszMTPbs2cPHH3+scXzYsGFs376dWbNmsWLFCqytrUlOTmbp0qU4OjrSr18/jh49ypAhQ2jXrh16enp88MEH9OzZk4sXL1K/fn0AFi1axPLly1m/fj2NGjUiPDwcX19fUlJS0NPTqzCmwsJCrK2tmTVrFh999FGFfaysrPD19WXlypXqjec++ugjxowZo/a5d+8ea9asYerUqX/FpRJCiBrhOH1vTYcgRKWuR/Wp6RCEEEKI/wmyQ1gI8VwlJSVERkbSqFEj9PX18fLy4quvvlLbKyoZkZCQQJcuXTAwMMDc3BxfX19ycnKA0gRdcHAwNjY26Onp0aFDB86cOaOOzcnJISgoCGtra/T19XFyciImJkZtv3HjBoGBgZiZmWFhYUFAQADXr19X20eOHEm/fv2Ijo7Gzs4OS0tLJk2aRFFRkcYaw4cPx9zcHAMDA/z8/NSdpvfv38fExETjHAF27tyJoaFhpaUQLl68SN++fTExMcHY2JiOHTuSnp4OwJkzZ+jRowdWVlaYmprSuXNnzp8/rzFeS0uLlStX8uqrr2JoaMiCBQuIiIigefPmbNy4EUdHR0xNTRk8eLBGDE+WjOjSpQsZGRlMnToVLS0ttLS0gPIlI6oy7/Pe94ps3boVLy8vNYFbdmzz5s18+eWX/Otf/6J169Y4OjoSEBDAt99+S9euXQHYvHkzEydOpHnz5ri6urJmzRpKSko4fPgwULo7eOnSpcyaNYuAgAA8PT3ZsGEDv/32Gzt37qw0JkdHR5YtW8bw4cOfuYvd39+fuLg49bW5uTk9evTgxIkTnDhxgh49emBubv7M8xdCCCGEEEIIIV50khAWQjxXZGQkGzZs4LPPPuPixYtMnTqVoUOHcuzYsQr7JyUl0a1bN9zd3UlMTOTEiRP4+/vz+PFjAMLCwti2bRvr16/n/PnzNG3aFF9fX7KzswEIDw8nJSWF/fv3k5qaysqVK7GysgJKd836+vpibGzM8ePHSUhIwMjIiF69evHo0SM1hiNHjpCens6RI0dYv359uZ/9jxw5krNnz7J7924SExNRFIXevXtTVFSEoaEhgwcP1khCA8TExPD6669rlEIo8+uvv9KpUyd0dXX59ttvOXfuHG+++SbFxcVA6e7SESNGcOLECb7//nucnJzo3bt3ueRyREQE/fv356effuLNN98EID09nZ07d7Jnzx727NnDsWPHiIqKqvDab9++nQYNGjBv3jyysrLIysqq9H193rzVfd8Bjh8/TqtWrTSObd68GRcXFwICAsr119LSqjRJW1BQQFFRkboD+tq1a9y8eZPu3burfUxNTWnbti2JiYnqsS5dujBy5MhKY6xMmzZt+OWXX9QvF0aOHMnWrVvV67N169Y/NK8QQgghhBBCCPEikZIRQohnKiwsZOHChRw6dAgfHx8AGjduzIkTJ1i1ahWdO3cuN2bRokW0atWKTz/9VD3m4eEBlO6+XblyJbGxsfj5+QGltWPj4+NZu3YtoaGhZGZm4u3trSYWHR0d1Xm2bNlCSUkJa9asUXe/xsTEYGZmxtGjR+nZsydQurtzxYoVaGtr4+rqSp8+fTh8+DBjx47lypUr7N69m4SEBNq1aweUJi3t7e3ZuXMnAwcOZMyYMWptZDs7O27fvs2+ffs4dOhQhdfpk08+wdTUlLi4OLXMg7Ozs9r+yiuvaPT//PPPMTMz49ixY/Tt21c9/sYbbzBq1CiNviUlJcTGxqqJ6GHDhnH48GEWLFhQLg4LCwu0tbUxNjZ+bhmPZ837R953gIyMjHIJ4StXruDi4vLMWCoybdo06tWrpyaAb968CUDdunU1+tWtW1dtA3BwcMDOzq7a69WrVw8oPQdHR0c2bdrEihUr6NOn9OergYGBTJ48maFDh1Y4vrCwkMLCQvV1Xl5etWMQQgghhBBCCCH+0yQhLIR4prS0NAoKCujRo4fG8UePHuHt7V3hmKSkJAYOHFhhW3p6OkVFRbRv3149VqdOHdq0aUNqaioAEyZMYMCAAZw/f56ePXvSr18/NXGbnJxMWlpauV26Dx8+VMszQGkCWltbW31tZ2fHTz/9BEBqaiq1a9embdu2arulpSUuLi5qDG3atMHDw4P169czffp0Nm3aRMOGDenUqVOl59yxY8dKa/7eunWLWbNmcfToUW7fvs3jx48pKCggMzNTo9/TyVQoTYg/eb5lCeo/61nz/pH3HeDBgwflavkqilLt2KKiooiLi+Po0aOV1gauzIYNG6q9HqDWWC67yd3t27eJj49n27ZtACxdupTVq1dXOj4yMpK5c+f+obWFEEIIIYQQQoi/iySEhRDPlJ+fD8DevXs16sIC6OrqVjjmz968zM/Pj4yMDPbt20d8fDzdunVj0qRJREdHk5+fT8uWLdm8eXO5cdbW1urzpxOzWlpalJSUVCuOMWPG8MknnzB9+nRiYmIYNWqUuiv5ac875xEjRnDnzh2WLVtGw4YN0dXVxcfHR6PMBYChoWG5sX/FuVTkWfP+kfcdSm/OVlYruoyzszM///xzleOKjo4mKiqKQ4cO4enpqR4v2/F869YtjR3At27donnz5lWevzJlJUvKPkfvvvuuRruxsXG5Y0+aMWOGRnteXh729vZ/Oi4hhBBCCCGEEOKvJDWEhRDP5O7ujq6uLpmZmTRt2lTjUVmyy9PTU70R2NOaNGmCjo4OCQkJ6rGioiLOnDmDu7u7esza2poRI0awadMmli5dyueffw5AixYtuHLlCjY2NuXiedYNw57k5uZGcXExp06dUo/duXOHS5cuacQwdOhQMjIyWL58OSkpKYwYMaLSOT09PTl+/LjGjeuelJCQQHBwML1798bDwwNdXV1+//33KsVbXTo6Omq95j/qj7zvAN7e3qSkpGgce+ONN7h8+TK7du0q119RFHJzc9XXixYtYv78+Rw4cKDcbulGjRpha2ur8dnKy8vj1KlTalmLP+PChQvUqVNHLW9SZuTIkVWqHayrq4uJiYnGQwghhBBCCCGEeNHIDmEhxDMZGxsTEhLC1KlTKSkpoUOHDuTm5pKQkICJiUmFSdIZM2bQrFkzJk6cyPjx49HR0eHIkSMMHDgQKysrJkyYQGhoKBYWFjg4OLBo0SIKCgoYPXo0ALNnz6Zly5Z4eHhQWFjInj17cHNzAyAoKIjFixcTEBDAvHnzaNCgARkZGWzfvp2wsDAaNGjw3HNycnIiICCAsWPHsmrVKoyNjZk+fTr169fXuPGZubk5r732GqGhofTs2fOZc0+ePJmPP/6YwYMHM2PGDExNTfn+++9p06YNLi4uODk5sXHjRlq1akVeXh6hoaF/eid1ZRwdHfnuu+8YPHgwurq66g35quOPvO8Avr6+jBkzhsePH6slOwIDA9mxYwdDhgxh1qxZ9OzZE2tra3766Sc++ugj3n77bfr168cHH3zA7Nmz+eKLL3B0dFTrAhsZGWFkZISWlhZTpkzh/fffx8nJiUaNGhEeHk69evXo16+fGsPw4cOpX78+kZGR6rGkpCSgdOfzv//9b5KSktDR0dH4AuD48eN07NjxP/a+CCHEi+B6VJ+aDkEIIYQQQtQw2SEshHiu+fPnEx4eTmRkJG5ubvTq1Yu9e/fSqFGjCvs7OzvzzTffkJycTJs2bfDx8WHXrl3Url36HVRUVBQDBgxg2LBhtGjRgrS0NA4ePIi5uTlQusN1xowZeHp60qlTJ7S1tYmLiwPAwMCA7777DgcHB1577TXc3NwYPXo0Dx8+rNaOzJiYGFq2bEnfvn3x8fFBURT27dtXrozC6NGjefToEW+++eYz57O0tOTbb78lPz+fzp0707JlS1avXq3Ot3btWnJycmjRogXDhg0jODgYGxubKsdbHfPmzeP69es0adJEo4xGdVX3fYfSch+1a9fWuPmelpYWX3zxBR9++CE7d+6kc+fOeHp6EhERQUBAAL6+vgCsXLmSR48e8frrr2NnZ6c+oqOj1bnCwsJ4++23GTduHK1btyY/P58DBw5o1BnOzMwkKytLIy5vb2+8vb05d+4cX3zxBd7e3vTu3VujT1xcHGPHjv3D10sIIYQQQgghhPgn0FL+yN1+hBDif8TGjRuZOnUqv/32Gzo6OjUdzj/CJ598wu7duzl48GBNh1Jl+/fv57333uPHH39Uv7j4s/Ly8jA1NSU3N1fKRwghhBBCCCGE+I+r6t+hUjJCCCEqUFBQQFZWFlFRUbz11luSDK6Gt956i7t373Lv3j2MjY1rOpwquX//PjExMX9ZMlgIIYQQQgghhHhRyQ5hIYSoQEREBAsWLKBTp07s2rULIyOjmg5J/MPIDmEhhBBCCCGEEH+nqv4dKglhIYQQ4j9AEsJCCCGEEEIIIf5OVf07VG4qJ4QQf7GjR4+ipaXF3bt3azqUf7Rhw4axcOHCmg4DgJdffplt27bVdBhCCCGEEEIIIcSfJjuEhRDiL/bo0SOys7OpW7cuWlpaNR3O36ZLly40b96cpUuX/um5kpOTeeWVV8jIyMDIyIiioiJmzZrFvn37uHr1KqampnTv3p2oqCjq1aunjsvOzubtt9/m66+/platWgwYMIBly5Y9s+THd999x+LFizl37hxZWVns2LGDfv36afTZs2cPU6dO5dKlS9SqVbXvUmWHsBDiReQ4fW9NhyD+x1yP6lPTIQghhBD/M2SHsBBC1BAdHR1sbW3/p5LBf7WPP/6YgQMHqoncgoICzp8/T3h4OOfPn2f79u1cunSJV199VWNcUFAQFy9eJD4+nj179vDdd98xbty4Z651//59vLy8+OSTTyrt4+fnx71799i/f/+fPzkhhBBCCCGEEKIGSUJYCCGqqaSkhMjISBo1aoS+vj5eXl589dVXantFJSMSEhLo0qULBgYGmJub4+vrS05ODgCFhYUEBwdjY2ODnp4eHTp04MyZM+rYnJwcgoKCsLa2Rl9fHycnJ2JiYtT2GzduEBgYiJmZGRYWFgQEBHD9+nW1feTIkfTr14/o6Gjs7OywtLRk0qRJFBUVaawxfPhwzM3NMTAwwM/PjytXrqjtd+7cYciQIdSvXx8DAwOaNWvGl19+qbHGsWPHWLZsGVpaWmhpaakxXLhwAT8/P4yMjKhbty7Dhg3j999/r/T6Pn78mK+++gp/f3/1mKmpKfHx8QQGBuLi4sLLL7/MihUrOHfuHJmZmQCkpqZy4MAB1qxZQ9u2benQoQMff/wxcXFx/Pbbb5Wu5+fnx/vvv0///v0r7aOtrU3v3r2Ji4urtI8QQgghhBBCCPFPIAlhIYSopsjISDZs2MBnn33GxYsXmTp1KkOHDuXYsWMV9k9KSqJbt264u7uTmJjIiRMn8Pf35/HjxwCEhYWxbds21q9fz/nz52natCm+vr5kZ2cDEB4eTkpKCvv37yc1NZWVK1diZWUFQFFREb6+vhgbG3P8+HESEhIwMjKiV69ePHr0SI3hyJEjpKenc+TIEdavX09sbCyxsbFq+8iRIzl79iy7d+8mMTERRVHo3bu3mjR++PAhLVu2ZO/evVy4cIFx48YxbNgwTp8+DcCyZcvw8fFh7NixZGVlkZWVhb29PXfv3uWVV17B29ubs2fPcuDAAW7dukVgYGCl1/fHH38kNzeXVq1aPfN9yM3NRUtLCzMzMwASExMxMzPTGNe9e3dq1arFqVOn1GNaWloa515Vbdq04fjx45W2FxYWkpeXp/EQQgghhBBCCCFeNLVrOgAhhPgnKSwsZOHChRw6dAgfHx8AGjduzIkTJ1i1ahWdO3cuN2bRokW0atWKTz/9VD3m4eEBlJYrWLlyJbGxsfj5+QGwevVq4uPjWbt2LaGhoWRmZuLt7a0mOh0dHdV5tmzZQklJCWvWrFFLVMTExGBmZsbRo0fp2bMnAObm5qxYsQJtbW1cXV3p06cPhw8fZuzYsVy5coXdu3eTkJBAu3btANi8eTP29vbs3LmTgQMHUr9+fUJCQtR13377bQ4ePMjWrVtp06YNpqam6OjoYGBggK2trdpvxYoVeHt7a9wcbt26ddjb23P58mWcnZ3LXa+MjAy0tbWxsbGp9H14+PAh06ZNY8iQIWpdpJs3b5YbU7t2bSwsLLh586Z6zMXFBVNT00rnrky9evW4ceMGJSUlFdYRjoyMZO7cudWeVwghhBBCCCGE+DtJQlgIIaohLS2NgoICevTooXH80aNHeHt7VzgmKSmJgQMHVtiWnp5OUVER7du3V4/VqVOHNm3akJqaCsCECRMYMGAA58+fp2fPnvTr109N3CYnJ5OWloaxsbHGvA8fPiQ9PV197eHhgba2tvrazs6On376CSgttVC7dm3atm2rtltaWuLi4qLG8PjxYxYuXMjWrVv59ddfefToEYWFhRgYGDzzeiUnJ3PkyJEKb+qWnp5eYUL4wYMH6OrqVlqDuaioiMDAQBRFYeXKlc9cvyI///xztccA6OvrU1JSQmFhIfr6+uXaZ8yYwbvvvqu+zsvLw97e/g+tJYQQQgghhBBC/KdIQlgIIaohPz8fgL1791K/fn2NNl1d3QrHVJQ8rA4/Pz8yMjLYt28f8fHxdOvWjUmTJhEdHU1+fj4tW7Zk8+bN5cZZW1urz+vUqaPRpqWlRUlJSZVjWLx4McuWLWPp0qU0a9YMQ0NDpkyZolGWoiL5+fn4+/vzwQcflGuzs7OrcIyVlRUFBQU8evQIHR0djbayZHBGRgbffvutxl1TbW1tuX37tkb/4uJisrOzNXYt/1HZ2dkYGhpW+n7q6upW+hkQQgghhBBCCCFeFJIQFkKIanB3d0dXV5fMzMwKy0NUxNPTk8OHD1dYTqBJkybo6OiQkJBAw4YNgdKk55kzZ5gyZYraz9ramhEjRjBixAg6duxIaGgo0dHRtGjRgi1btmBjY6ORHK0ONzc3iouLOXXqlLrz+M6dO1y6dAl3d3eg9KZ4AQEBDB06FCi9sd7ly5fVdgAdHR21LnKZFi1asG3bNhwdHaldu2r/y2nevDkAKSkp6nP4f8ngK1eucOTIESwtLTXG+fj4cPfuXc6dO0fLli0B+PbbbykpKdHY/fxHXbhwodJd4EII8U9xPapPTYcghBBCCCFqmNxUTgghqsHY2JiQkBCmTp3K+vXrSU9P5/z583z88cesX7++wjEzZszgzJkzTJw4kR9//JGff/6ZlStX8vvvv2NoaMiECRMIDQ3lwIEDpKSkMHbsWAoKChg9ejQAs2fPZteuXaSlpXHx4kX27NmDm5sbAEFBQVhZWREQEMDx48e5du0aR48eJTg4mF9++aVK5+Tk5ERAQABjx47lxIkTJCcnM3ToUOrXr09AQIDaJz4+npMnT5Kamspbb73FrVu3NOZxdHTk1KlTXL9+nd9//52SkhImTZpEdnY2Q4YM4cyZM6Snp3Pw4EFGjRpVLnlcxtramhYtWnDixAn1WFFREa+//jpnz55l8+bNPH78mJs3b3Lz5k11l7Kbmxu9evVi7NixnD59moSEBCZPnszgwYOpV6+eOperqys7duxQX+fn55OUlERSUhIA165dIykpiczMTI24jh8/rtZkFkIIIYQQQggh/qkkISyEENU0f/58wsPDiYyMVJOQe/fupVGjRhX2d3Z25ptvviE5OZk2bdrg4+PDrl271B2zUVFRDBgwgGHDhtGiRQvS0tI4ePAg5ubmQOnO2xkzZuDp6UmnTp3Q1tYmLi4OAAMDA7777jscHBx47bXXcHNzY/To0Tx8+LBaO4ZjYmJo2bIlffv2xcfHB0VR2Ldvn1pqYtasWbRo0QJfX1+6dOmCra0t/fr105gjJCQEbW1t3N3dsba2JjMzk3r16pGQkMDjx4/p2bMnzZo1Y8qUKZiZmVV4Y7YyY8aM0SiD8euvv7J7925++eUXmjdvjp2dnfo4efKk2m/z5s24urrSrVs3evfuTYcOHfj888815r506RK5ubnq67Nnz+Lt7a3u/n333Xfx9vZm9uzZGuufPHmSUaNGVfmaCiGEEEIIIYQQLyItRVGUmg5CCCGEeNKDBw9wcXFhy5Yt+Pj41HQ4TJs2jZycnHLJ5WfJy8vD1NSU3NzcP1zOQwghhBBCCCGEqKqq/h0qNYSFEEK8cPT19dmwYQO///57TYcCgI2NDe+++25NhyGEEEIIIYQQQvxpUjJCiH+4o0ePoqWlxd27d2s6FFHDOnXqxBdffFHTYfxlunTpgr+/f02HAcD//d//adQ0FkIIIYQQQggh/qkkISzEP1y7du3IysrC1NS0pkP5W8XGxmJmZlbTYfwpjo6OLF269C+Za/fu3dy6dYvBgwdrzK+lpVXuERUVBcD169c1jltaWtKzZ09++OEHjbkTExPR1tamT58/dmf65ORkhgwZgr29Pfr6+ri5ubFs2bJy/Y4ePUqLFi3Q1dWladOmxMbGPnfuis6x7Pyqavv27bRq1QozMzMMDQ1p3rw5Gzdu1Ogza9Yspk+fTklJSbXmFkIIIYQQQgghXjRSMkKIfzgdHR1sbW1rOgxRw5YvX86oUaPK3aht3rx5jB07VuOYsbGxxutDhw7h4eHBL7/8QnBwMH5+fvz8889qwn3t2rW8/fbbrF27lt9++4169epVK7Zz585hY2PDpk2bsLe35+TJk4wbNw5tbW0mT54MwLVr1+jTpw/jx49n8+bNHD58mDFjxmBnZ4evr+8z53/6HJ8+v+exsLBg5syZuLq6oqOjw549exg1ahQ2Njbq2n5+fowZM4b9+/f/4cS4EEK8CByn763pEMRf7HqU/H9JCCGEENUjO4SFeMGVlJQQGRlJo0aN0NfXx8vLi6+++kptr6hkREJCAl26dMHAwABzc3N8fX3JyckBoLCwkODgYGxsbNDT06NDhw6cOXNGHZuTk0NQUBDW1tbo6+vj5ORETEyM2j5t2jScnZ0xMDCgcePGhIeHU1RUpLZHRETQvHlzVq1ahb29PQYGBgQGBpKbm6txXmvWrMHNzQ09PT1cXV359NNP1baynavbt2+na9euGBgY4OXlRWJionrOo0aNIjc3V90VGhERAcDGjRtp1aoVxsbG2Nra8sYbb3D79m2NtS9cuICfnx9GRkbUrVuXYcOGadSq7dKlC8HBwYSFhWFhYYGtra06f5nMzEwCAgIwMjLCxMSEwMBAbt26pbanp6cTEBBA3bp1MTIyonXr1hw6dEhjjYyMDKZOnaqeQ5kTJ07QsWNH9PX1sbe3Jzg4mPv371OZf//733z77bcVllcouw5PPgwNDTX6WFpaYmtrS6tWrYiOjubWrVucOnUKgPz8fLZs2cKECRPo06dPlXbtPu3NN99k2bJldO7cmcaNGzN06FBGjRrF9u3b1T6fffYZjRo1YsmSJbi5uTF58mRef/11Pvroo+fO//Q5Pnl+ZTvJDx48iJubG0ZGRvTq1YusrCy1T5cuXejfvz9ubm40adKEd955B09PT40SEdra2vTu3Zu4uLhqn78QQgghhBBCCPEikYSwEC+4yMhINmzYwGeffcbFixeZOnUqQ4cO5dixYxX2T0pKolu3bri7u5OYmMiJEyfw9/fn8ePHAISFhbFt2zbWr1/P+fPnadq0Kb6+vmRnZwMQHh5OSkoK+/fvJzU1lZUrV2JlZaXOb2xsTGxsLCkpKSxbtozVq1eXS9qlpaWxdetWvv76aw4cOMAPP/zAxIkT1fbNmzcze/ZsFixYQGpqKgsXLiQ8PJz169drzDNz5kxCQkJISkrC2dmZIUOGUFxcTLt27Vi6dCkmJiZkZWWRlZVFSEgIAEVFRcyfP5/k5GR27tzJ9evXGTlypDrn3bt3eeWVV/D29ubs2bMcOHCAW7duERgYqLH2+vXrMTQ05NSpUyxatIh58+YRHx8PlCbpAwICyM7O5tixY8THx3P16lUGDRqkjs/Pz6d3794cPnyYH374gV69euHv709mZiZQWqagQYMGzJs3Tz0HKE0k9+rViwEDBvDjjz+yZcsWTpw4oe6krciJEycwMDDAzc2t0j5Vpa+vD8CjR48A2Lp1K66urri4uDB06FDWrVuHoigaYxwdHcslzJ8nNzcXCwsL9XViYiLdu3fX6OPr66t+CQClyd0nE+dloqKisLS0xNvbm8WLF1NcXKzRXlBQQHR0NBs3buS7774jMzNT/bw8TVEUDh8+zKVLl+jUqZNGW5s2bTh+/Hi1zlMIIYQQQgghhHjRSMkIIV5ghYWFLFy4kEOHDuHj4wNA48aNOXHiBKtWraJz587lxixatIhWrVpp7Lj18PAA4P79+6xcuZLY2Fj8/PwAWL16NfHx8axdu5bQ0FAyMzPx9vamVatWQGmy70mzZs1Snzs6OhISEkJcXBxhYWHq8YcPH7Jhwwbq168PwMcff0yfPn1YsmQJtra2zJkzhyVLlvDaa68B0KhRI1JSUli1ahUjRoxQ5wkJCVF/nj937lw8PDxIS0vD1dUVU1NTtLS0ypXLePPNN9XnjRs3Zvny5bRu3Zr8/HyMjIxYsWIF3t7eLFy4UO23bt067O3tuXz5Ms7OzgB4enoyZ84cAJycnFixYgWHDx+mR48eHD58mJ9++olr165hb28PwIYNG/Dw8ODMmTO0bt0aLy8vvLy81DXmz5/Pjh072L17N5MnT8bCwgJtbW11d2uZyMhIgoKCmDJlirr28uXL6dy5MytXrkRPT6/ce56RkUHdunXLlYuA0h3dT75nAPv376djx47l+t69e5f58+djZGREmzZtgNJyEUOHDgWgV69e5ObmcuzYMbp06aKOa9KkicaXBs9z8uRJtmzZwt69/+9nyzdv3qRu3boa/erWrUteXh4PHjxAX18fU1NTXFxcNPoEBwfTokULLCwsOHnyJDNmzCArK4sPP/xQ7VNUVMRnn31GkyZNAJg8eTLz5s3TmCc3N5f69etTWFiItrY2n376KT169NDoU69ePW7cuEFJSUmF17qwsJDCwkL1dV5eXpWviRBCCCGEEEII8XeRhLAQL7C0tDQKCgrKJaYePXqEt7d3hWOSkpIYOHBghW3p6ekUFRXRvn179VidOnVo06YNqampAEyYMIEBAwZw/vx5evbsSb9+/WjXrp3af8uWLSxfvpz09HTy8/MpLi7GxMREYx0HBwc1GQzg4+NDSUkJly5dwtjYmPT0dEaPHq1R97W4uLjcjfE8PT3V53Z2dgDcvn0bV1fXCs8PSuvVRkREkJycTE5OjnoTsMzMTNzd3UlOTubIkSMYGRlVeH2eTAg/yc7OTi09kZqair29vZoMBnB3d8fMzIzU1FQ1AR0REcHevXvJysqiuLiYBw8eqDuEK5OcnMyPP/7I5s2b1WOKolBSUsK1a9cq3AX84MGDChPFAKGhoRo7pAGN9wZKb0xYq1Yt7t+/T+PGjdmyZQt169bl0qVLnD59mh07dgBQu3ZtBg0axNq1azUSwocPH37mOT3pwoULBAQEMGfOHHr27FnlcQD9+/enf//+Gsfeffdd9bmnpyc6Ojq89dZbREZGoqurC4CBgYGaDAbN97KMsbExSUlJ5Ofnc/jwYd59910aN26scZ76+vqUlJRQWFio7qR+UmRkJHPnzq3WOQkhhBBCCCGEEH83SQgL8QLLz88HYO/eveWSeGXJrqdVlKiqDj8/PzIyMti3bx/x8fF069aNSZMmER0dTWJiIkFBQcydOxdfX19MTU2Ji4tjyZIlVZ6/7JxWr15N27ZtNdq0tbU1XtepU0d9XlYqoCzBW5H79+/j6+uLr68vmzdvxtramszMTHx9fdUSCPn5+fj7+/PBBx+UG1+WdH567bL1n7X200JCQoiPjyc6OpqmTZuir6/P66+/rsZRmfz8fN566y2Cg4PLtTk4OFQ4xsrKSq0RXVFb06ZNn7nmli1bcHd3x9LSUr2RHJTuDi4uLta4iZyiKOjq6rJixYpyCfznSUlJoVu3bowbN67crmVbW1uNGswAt27dwsTEpFqf6bZt21JcXMz169fV3cQVvZdPl72oVauWep2aN29OamoqkZGRGgnh7OxsDA0NK41nxowZGgnqvLw8jS8NhBBCCCGEEEKIF4EkhIV4gbm7u6Orq0tmZmaF5SEq4unpyeHDhyvcqdikSRN0dHRISEigYcOGQOnP6c+cOaOWKACwtrZmxIgRjBgxgo4dOxIaGkp0dDQnT56kYcOGzJw5U+2bkZFRbp3MzEx+++03NZH4/fffU6tWLVxcXKhbty716tXj6tWrBAUFVedyaNDR0VHrIpf5+eefuXPnDlFRUWoi7uzZsxp9WrRowbZt23B0dKR27T/2T6Cbmxs3btzgxo0b6jopKSncvXsXd3d3oPTGfiNHjlR3tObn53P9+vXnnkOLFi1ISUl5bhL3Sd7e3ty8eZOcnBzMzc2rfT729vYaO2ihdMf2hg0bWLJkSbmdvP369ePLL79k/PjxVV7j4sWLvPLKK4wYMYIFCxaUa/fx8WHfvn0ax+Lj49VSKVWVlJRErVq1sLGxqda4p5XtBH7ShQsXKt2ZD6Vf0lT2RY0QQgghhBBCCPGikISwEC8wY2NjQkJCmDp1KiUlJXTo0IHc3FwSEhIwMTHRqLdbZsaMGTRr1oyJEycyfvx4dHR0OHLkCAMHDsTKyooJEyYQGhqKhYUFDg4OLFq0iIKCAkaPHg3A7NmzadmyJR4eHhQWFrJnzx61TIGTkxOZmZnExcXRunVr9u7dq5YTeJKenh4jRowgOjqavLw8goODCQwMVGvlzp07l+DgYExNTenVqxeFhYWcPXuWnJwcjR2Wz+Lo6Kj+vN/LywsDAwMcHBzQ0dHh448/Zvz48Vy4cIH58+drjJs0aRKrV69myJAhhIWFYWFhQVpaGnFxcaxZs6bcLuWKdO/enWbNmhEUFMTSpUspLi5m4sSJdO7cWa297OTkxPbt2/H390dLS4vw8PByO4wdHR357rvvGDx4MLq6ulhZWTFt2jRefvllJk+ezJgxYzA0NCQlJYX4+HhWrFhRYTze3t5YWVmRkJBA3759Ndru3bvHzZs3NY4ZGBiUK/PxtD179pCTk8Po0aPL7QQeMGAAa9eurXJC+MKFC7zyyiv4+vry7rvvqvFoa2tjbW0NwPjx41mxYgVhYWG8+eabfPvtt2zdulWjzvCOHTuYMWMGP//8M1B6I7pTp07RtWtXjI2NSUxMVG+6WJ3EeGRkJK1ataJJkyYUFhayb98+Nm7cyMqVKzX6HT9+vNplLoQQ4kVzPapPTYcghBBCCCFqmiKEeKGVlJQoS5cuVVxcXJQ6deoo1tbWiq+vr3Ls2DFFURTlyJEjCqDk5OSoY44ePaq0a9dO0dXVVczMzBRfX1+1/cGDB8rbb7+tWFlZKbq6ukr79u2V06dPq2Pnz5+vuLm5Kfr6+oqFhYUSEBCgXL16VW0PDQ1VLC0tFSMjI2XQoEHKRx99pJiamqrtc+bMUby8vJRPP/1UqVevnqKnp6e8/vrrSnZ2tsZ5bd68WWnevLmio6OjmJubK506dVK2b9+uKIqiXLt2TQGUH374Qe2fk5OjAMqRI0fUY+PHj1csLS0VQJkzZ46iKIryxRdfKI6Ojoqurq7i4+Oj7N69u9xcly9fVvr376+YmZkp+vr6iqurqzJlyhSlpKREURRF6dy5s/LOO+9oxBsQEKCMGDFCfZ2RkaG8+uqriqGhoWJsbKwMHDhQuXnzptp+7do1pWvXroq+vr5ib2+vrFixoty8iYmJiqenp6Krq6s8+c/x6dOnlR49eihGRkaKoaGh4unpqSxYsEB5lrCwMGXw4MEaxxo2bKgA5R5vvfVWpde5TN++fZXevXtXuNapU6cUQElOTlbXKbv+FZkzZ06FcTRs2FCj35EjR9TPROPGjZWYmBiN9piYGI3rdO7cOaVt27aKqampoqenp7i5uSkLFy5UHj58qDHmyc+noijKjh07NOaZOXOm0rRpU0VPT08xNzdXfHx8lLi4OI0xv/zyi1KnTh3lxo0blZ7n03JzcxVAyc3NrfIYIYQQQgghhBDij6rq36FaivJUIUUhhPgTIiIi2LlzJ0lJSTUdyv+Umzdv4uHhwfnz59VyIH+HgoICLC0t2b9/v0a93f8206ZNIycnh88//7zKY/Ly8jA1NSU3N/e5O7KFEEIIIYQQQog/q6p/h9b6G2MSQgjxH2Jra8vatWvJzMz8W9c9cuQIr7zyyn91MhjAxsamXPkRIYQQQgghhBDin0hqCAshxH+Jfv36/e1r9unThz59/vvrUb733ns1HYIQQgghhBBCCPGXkB3CQoi/VEREhJSL+A87evQoWlpa3L17t6ZD+Y96+jxjY2MxMzOr0ZiEEEIIIYQQQoh/OkkICyHEP0y7du3IysrC1NS0pkP5Ww0aNIjLly//pXNKklkIIYQQQgghxP8aKRkhhBD/MDo6Otja2tZ0GH87fX199PX1azoMIYT4R3OcvremQxDPcT3qv78UkxBCCCFqluwQFkKIF1BJSQmRkZE0atQIfX19vLy8+Oqrr4CKS0YkJCTQpUsXDAwMMDc3x9fXl5ycHAAKCwsJDg7GxsYGPT09OnTowJkzZ9SxOTk5BAUFYW1tjb6+Pk5OTsTExKjt06ZNw9nZGQMDAxo3bkx4eDhFRUVqe0REBM2bN2fjxo04OjpiamrK4MGDuXfvntrneTEA7Nu3D2dnZ/T19enatSvXr1/XaK9oN+/KlStp0qQJOjo6uLi4sHHjRo32Dz/8kGbNmmFoaIi9vT0TJ04kPz9fvY6jRo0iNzcXLS0ttLS0iIiIUOMNCQmhfv36GBoa0rZtW44ePfr8N04IIYQQQgghhHjBSUJYCCFeQJGRkWzYsIHPPvuMixcvMnXqVIYOHcqxY8fK9U1KSqJbt264u7uTmJjIiRMn8Pf35/HjxwCEhYWxbds21q9fz/nz52natCm+vr5kZ2cDEB4eTkpKCvv37yc1NZWVK1diZWWlzm9sbExsbCwpKSksW7aM1atX89FHH2nEkJ6ezs6dO9mzZw979uzh2LFjREVFqe3Pi+HGjRu89tpr+Pv7k5SUxJgxY5g+ffozr9GOHTt45513eO+997hw4QJvvfUWo0aN4siRI2qfWrVqsXz5ci5evMj69ev59ttvCQsLA0pLbyxduhQTExOysrLIysoiJCQEgMmTJ5OYmEhcXBw//vgjAwcOpFevXly5cqXSeAoLC8nLy9N4CCGEEEIIIYQQLxotRVGUmg5CCCHE/1NYWIiFhQWHDh3Cx8dHPT5mzBgKCgoYN24cXbt2JScnBzMzM9544w0yMzM5ceJEubnu37+Pubk5sbGxvPHGGwAUFRXh6OjIlClTCA0N5dVXX8XKyop169ZVKb7o6Gji4uI4e/YsULpDePHixdy8eRNjY2OgNAH83Xff8f3331cphn/961/s2rWLixcvqutMnz6dDz74QD3P2NhYpkyZou6Mbt++PR4eHnz++efqmMDAQO7fv8/evRX/JPqrr75i/Pjx/P777wDl5gTIzMykcePGZGZmUq9ePfV49+7dadOmDQsXLqxw7oiICObOnVvueG5uLiYmJs+7rEII8beQkhEvPikZIYQQQog/Ki8vD1NT0+f+HSo1hIUQ4gWTlpZGQUEBPXr00Dj+6NEjvL29y/VPSkpi4MCBFc6Vnp5OUVER7du3V4/VqVOHNm3akJqaCsCECRMYMGAA58+fp2fPnvTr14927dqp/bds2cLy5ctJT08nPz+f4uLicv9jcXR0VJPBAHZ2dty+fbvKMaSmptK2bVuNOZ9MhlckNTWVcePGaRxr3749y5YtU18fOnSIyMhIfv75Z/Ly8iguLubhw4cUFBRgYGBQ4bw//fQTjx8/xtnZWeN4YWEhlpaWlcYzY8YM3n33XfV1Xl4e9vb2zzwHIYQQQgghhBDi7yYJYSGEeMGU1bjdu3cv9evX12jT1dUlPT1d49ifvdGan58fGRkZ7Nu3j/j4eLp168akSZOIjo4mMTGRoKAg5s6di6+vL6ampsTFxbFkyRKNOerUqaPxWktLi5KSkj8V1591/fp1+vbty4QJE1iwYAEWFhacOHGC0aNH8+jRo0oTwvn5+Whra3Pu3Dm0tbU12oyMjCpdT1dXF11d3b/0HIQQQgghhBBCiL+a1BAWQogXjLu7O7q6umRmZtK0aVONR0U7Tj09PTl8+HCFc5XdcC0hIUE9VlRUxJkzZ3B3d1ePWVtbM2LECDZt2sTSpUvVMgwnT56kYcOGzJw5k1atWuHk5ERGRka1zqcqMbi5uXH69GmNcd9///0z53Vzc9OYE0pvrlc257lz5ygpKWHJkiW8/PLLODs789tvv2n019HRUWstl/H29ubx48fcvn273PW3tbWt1rkLIYQQQgghhBAvGtkhLIQQLxhjY2NCQkKYOnUqJSUldOjQgdzcXBISEjAxMaFhw4Ya/WfMmEGzZs2YOHEi48ePR0dHhyNHjjBw4ECsrKyYMGECoaGhWFhY4ODgwKJFiygoKGD06NEAzJ49m5YtW+Lh4UFhYSF79uzBzc0NACcnJzIzM4mLi6N169bs3buXHTt2VOt8DA0NnxvD+PHjWbJkCaGhoYwZM4Zz584RGxv7zHlDQ0MJDAzE29ub7t278/XXX7N9+3YOHToEQNOmTSkqKuLjjz/G39+fhIQEPvvsM405HB0dyc/P5/Dhw3h5eWFgYICzszNBQUEMHz6cJUuW4O3tzb///W8OHz6Mp6cnffpIbUchxD+X1KcVQgghhBCyQ1gIIV5A8+fPJzw8nMjISNzc3OjVqxd79+6lUaNG5fo6OzvzzTffkJycTJs2bfDx8WHXrl3Url36nV9UVBQDBgxg2LBhtGjRgrS0NA4ePIi5uTlQukt2xowZeHp60qlTJ7S1tYmLiwPg1VdfZerUqUyePJnmzZtz8uRJwsPDq30+z4vBwcGBbdu2sXPnTry8vPjss88qvXlbmX79+rFs2TKio6Px8PBg1apVxMTE0KVLFwC8vLz48MMP+eCDD3jppZfYvHkzkZGRGnO0a9eO8ePHM2jQIKytrVm0aBEAMTExDB8+nPfeew8XFxf69evHmTNncHBwqPa5CyGEEEIIIYQQLxItRVGUmg5CCCGE+G9T1bu7CiGEEEIIIYQQf4Wq/h0qO4SFEEIIIYQQQgghhBDif4QkhIUQQgghhBBCCCGEEOJ/hCSEhRDiBdOlSxemTJnyh8fHxsZiZmb2l8VTkyIiImjevLn6euTIkfTr16/G4hFCCCGEEEIIIf7patd0AEIIIURVLVu2jL+69P3IkSO5e/cuO3fu/EvnFUIIIYQQQgghXkSSEBZCCPGPYWpqWtMhCCH+AMfpe2s6BPH/ux7Vp6ZDEEIIIYQQNUxKRgghRA26f/8+w4cPx8jICDs7O5YsWaLRnpOTw/DhwzE3N8fAwAA/Pz+uXLmi0Sc2NhYHBwcMDAzo378/d+7cKbfOrl27aNGiBXp6ejRu3Ji5c+dSXFystt+9e5e33nqLunXroqenx0svvcSePXsAuHPnDkOGDKF+/foYGBjQrFkzvvzyS435u3TpQnBwMGFhYVhYWGBra0tERIRGn7t37zJmzBisra0xMTHhlVdeITk5WaNPVFQUdevWxdjYmNGjR/Pw4UON9qdLRhQWFhIcHIyNjQ16enp06NCBM2fOqO2PHz9m9OjRNGrUCH19fVxcXFi2bJnaHhERwfr169m1axdaWlpoaWlx9OhRAG7cuEFgYCBmZmZYWFgQEBDA9evXy11bIYQQQgghhBDin0QSwkIIUYNCQ0M5duwYu3bt4ptvvuHo0aOcP39ebR85ciRnz55l9+7dJCYmoigKvXv3pqioCIBTp04xevRoJk+eTFJSEl27duX999/XWOP48eMMHz6cd955h5SUFFatWkVsbCwLFiwAoKSkBD8/PxISEti0aRMpKSlERUWhra0NwMOHD2nZsiV79+7lwoULjBs3jmHDhnH69GmNddavX4+hoSGnTp1i0aJFzJs3j/j4eLV94MCB3L59m/3793Pu3DlatGhBt27dyM7OBmDr1q1ERESwcOFCzp49i52dHZ9++ukzr19YWBjbtm1j/fr1nD9/nqZNm+Lr66vOWVJSQoMGDfi///s/UlJSmD17Nv/617/YunUrACEhIQQGBtKrVy+ysrLIysqiXbt2FBUV4evri7GxMcePHychIQEjIyN69erFo0ePKoylsLCQvLw8jYcQQgghhBBCCPGi0VL+6mKMQgghqiQ/Px9LS0s2bdrEwIEDAcjOzqZBgwaMGzeOSZMm4ezsTEJCAu3atQNKd+va29uzfv16Bg4cyBtvvEFubi579/6/n2MPHjyYAwcOcPfuXQC6d+9Ot27dmDFjhtpn06ZNhIWF8dtvv/HNN9/g5+dHamoqzs7OVYq9b9++uLq6Eh0dDZTuEH78+DHHjx9X+7Rp04ZXXnmFqKgoTpw4QZ8+fbh9+za6urpqn6ZNmxIWFsa4ceNo164d3t7efPLJJ2r7yy+/zMOHD0lKSgI06/3ev38fc3NzYmNjeeONNwAoKirC0dGRKVOmEBoaWmHskydP5ubNm3z11Vfl5nzy+rz//vukpqaipaUFwKNHjzAzM2Pnzp307Nmz3LwRERHMnTu33PHc3FxMTEyqclmF+K8lJSNeHFIyQgghhBDiv1deXh6mpqbP/TtUdggLIUQNSU9P59GjR7Rt21Y9ZmFhgYuLCwCpqanUrl1bo93S0hIXFxdSU1PVPk+2A/j4+Gi8Tk5OZt68eRgZGamPsWPHkpWVRUFBAUlJSTRo0KDSZPDjx4+ZP38+zZo1w8LCAiMjIw4ePEhmZqZGP09PT43XdnZ23L59W42hLAH+ZBzXrl0jPT29yufy9PUrKiqiffv26rE6derQpk0b9foAfPLJJ7Rs2RJra2uMjIz4/PPPy8X+tOTkZNLS0jA2NlZjtbCw4OHDh2q8T5sxYwa5ubnq48aNG89cQwghhBBCCCGEqAlyUzkhhPgvl5+fz9y5c3nttdfKtenp6aGvr//M8YsXL2bZsmUsXbqUZs2aYWhoyJQpU8qVTqhTp47Gay0tLUpKStQY7Ozs1Pq8TzIzM6veCVVDXFwcISEhLFmyBB8fH4yNjVm8eDGnTp165rj8/HxatmzJ5s2by7VZW1tXOEZXV1dj97MQQgghhBBCCPEikoSwEELUkCZNmlCnTh1OnTqFg4MDUHoTucuXL9O5c2fc3NwoLi7m1KlTGiUjLl26hLu7OwBubm7lkpvff/+9xusWLVpw6dIlmjZtWmEcnp6e/PLLL1y+fLnCXcIJCQkEBAQwdOhQoLQu7+XLl9UYqqJFixbcvHmT2rVr4+joWGGfsnMZPnx4pefypCZNmqCjo0NCQgINGzYESktGnDlzhilTpqixt2vXjokTJ6rjnt7hq6Ojw+PHj8vFu2XLFmxsbKTcgxBCCCGEEEKI/yqSEBZCiBpiZGTE6NGjCQ0NxdLSEhsbG2bOnEmtWqXVfJycnAgICGDs2LGsWrUKY2Njpk+fTv369QkICAAgODiY9u3bEx0dTUBAAAcPHuTAgQMa68yePZu+ffvi4ODA66+/Tq1atUhOTubChQu8//77dO7cmU6dOjFgwAA+/PBDmjZtys8//4yWlha9evXCycmJr776ipMnT2Jubs6HH37IrVu3qpUQ7t69Oz4+PvTr149Fixbh7OzMb7/9xt69e+nfvz+tWrXinXfeYeTIkbRq1Yr27duzefNmLl68SOPGjSuc09DQkAkTJhAaGoqFhQUODg4sWrSIgoICRo8erV7DDRs2cPDgQRo1asTGjRs5c+YMjRo1UudxdHTk4MGDXLp0CUtLS0xNTQkKCmLx4sUEBAQwb948GjRoQEZGBtu3bycsLIwGDRpU670W4n+d1K0VQgghhBDixSE1hIUQogYtXryYjh074u/vT/fu3enQoQMtW7ZU22NiYmjZsiV9+/bFx8cHRVHYt2+fWp7h5ZdfZvXq1SxbtgwvLy+++eYbZs2apbGGr68ve/bs4ZtvvqF169a8/PLLfPTRR+quWoBt27bRunVrhgwZgru7O2FhYequ2VmzZtGiRQt8fX3p0qULtra29OvXr1rnqaWlxb59++jUqROjRo3C2dmZwYMHk5GRQd26dQEYNGgQ4eHhhIWF0bJlSzIyMpgwYcIz542KimLAgAEMGzaMFi1akJaWxsGDBzE3Nwfgrbfe4rXXXmPQoEG0bduWO3fuaOwWBhg7diwuLi60atUKa2trEhISMDAw4LvvvsPBwYHXXnsNNzc3Ro8ezcOHD2XHsBBCCCGEEEKIfzQtRVGUmg5CCCGE+G9T1bu7CiGEEEIIIYQQf4Wq/h0qO4SFEEIIIYQQQgghhBDif4QkhIUQQgghhBBCCCGEEOJ/hCSEhfgTunTpwpQpU2o6DPEP0KlTJ7744ouaDkP8AYMHD2bJkiU1HYYQQgghhBBCCPGXkISwEOIvFxsbi5mZWU2H8ac4OjqydOnSv2Su3bt3c+vWLQYPHlztsbGxsXh6eqKnp4eNjQ2TJk16Zn9HR0e0tLTQ0tJCX18fR0dHAgMD+fbbbzX6Xb9+Xe2npaWFpaUlPXv25IcfftDol5iYiLa2Nn369Kl27ADJyckMGTIEe3t79PX1cXNzY9myZRp9tm/fTo8ePbC2tsbExAQfHx8OHjz43LmfPNeyR1RUVLVjvHv3LpMmTcLOzg5dXV2cnZ3Zt2+f2j5r1iwWLFhAbm5utecWQgghhBBCCCFeNLVrOgAhhPhvt3z5ckaNGkWtWtX7Du7DDz9kyZIlLF68mLZt23L//n2uX7/+3HHz5s1j7NixPHr0iOvXr7Np0ya6d+/O/PnzmTlzpkbfQ4cO4eHhwS+//EJwcDB+fn78/PPPakJ/7dq1vP3226xdu5bffvuNevXqVesczp07h42NDZs2bcLe3p6TJ08ybtw4tLW1mTx5MgDfffcdPXr0YOHChZiZmRETE4O/vz+nTp3C29u7SudaxtjYuFrxPXr0iB49emBjY8NXX31F/fr1ycjI0PhC46WXXqJJkyZs2rTpuQl5IYQo4zh9b02HUKHrUX/sCz4hhBBCCPHfQ3YIC1FF9+/fZ/jw4RgZGWFnZ1fhT8hzcnIYPnw45ubmGBgY4Ofnx5UrVzT6JCQk0KVLFwwMDDA3N8fX15ecnBwACgsLCQ4OxsbGBj09PTp06MCZM2c05g8KCsLa2hp9fX2cnJyIiYlR26dNm4azszMGBgY0btyY8PBwioqK1PaIiAiaN2/OqlWrsLe3x8DAgMDAwHI7H9esWYObmxt6enq4urry6aefqm1lO0u3b99O165dMTAwwMvLi8TERACOHj3KqFGjyM3NVXdtRkREALBx40ZatWqFsbExtra2vPHGG9y+fVtj7QsXLuDn54eRkRF169Zl2LBh/P7772p7ly5dCA4OJiwsDAsLC2xtbdX5y2RmZhIQEICRkREmJiYEBgZy69YttT09PZ2AgADq1q2LkZERrVu35tChQxprZGRkMHXqVPUcypw4cYKOHTuir6+Pvb09wcHB3L9/v9xnocy///1vvv32W/z9/TWOa2lpsWbNGvr374+BgQFOTk7s3r1bbc/JyWHWrFls2LCBN954gyZNmuDp6cmrr75a6Vplyq6vg4MDnTp14vPPPyc8PJzZs2dz6dIljb6WlpbY2trSqlUroqOjuXXrFqdOnQIgPz+fLVu2MGHCBPr06UNsbOxz137am2++ybJly+jcuTONGzdm6NChjBo1iu3bt6t9li5dSlhYGK1bt8bJyYmFCxfi5OTE119/XeVzLXsYGhqqbWU71Q8ePIibmxtGRkb06tWLrKwstc+6devIzs5m586dtG/fHkdHRzp37oyXl5fGOv7+/sTFxVX7/IUQQgghhBBCiBeNJISFqKLQ0FCOHTvGrl27+Oabbzh69Cjnz5/X6DNy5EjOnj3L7t27SUxMRFEUevfurSZlk5KS6NatG+7u7iQmJnLixAn8/f15/PgxAGFhYWzbto3169dz/vx5mjZtiq+vL9nZ2QCEh4eTkpLC/v37SU1NZeXKlVhZWanrGxsbExsbS0pKCsuWLWP16tV89NFHGjGmpaWxdetWvv76aw4cOMAPP/zAxIkT1fbNmzcze/ZsFixYQGpqKgsXLiQ8PJz169drzDNz5kxCQkJISkrC2dmZIUOGUFxcTLt27Vi6dCkmJiZkZWWRlZVFSEgIAEVFRcyfP5/k5GR27tzJ9evXGTlypDrn3bt3eeWVV/D29ubs2bMcOHCAW7duERgYqLH2+vXrMTQ05NSpUyxatIh58+YRHx8PQElJCQEBAWRnZ3Ps2DHi4+O5evUqgwYNUsfn5+fTu3dvDh8+zA8//ECvXr3w9/cnMzMTKC1h0KBBA+bNm6eeA5Qmknv16sWAAQP48ccf2bJlCydOnFB3ulbkxIkTGBgY4ObmVq5t7ty5BAYG8uOPP9K7d2+CgoLU9zo+Pp6SkhJ+/fVX3NzcaNCgAYGBgdy4caPStZ7lnXfeQVEUdu3aVWkffX19oHTXLMDWrVtxdXXFxcWFoUOHsm7dOhRF0Rjj6OhYLiH/PLm5uVhYWFTaXlJSwr179zT6xMbGaiTmy0RFRWFpaYm3tzeLFy+muLhYo72goIDo6Gg2btzId999R2Zmpvp5hNJyHj4+PkyaNIm6devy0ksvsXDhQvW/yTJt2rTh9OnTFBYWVhp3YWEheXl5Gg8hhBBCCCGEEOJFIyUjhKiC/Px81q5dy6ZNm+jWrRtQmpRs0KCB2ufKlSvs3r2bhIQE2rVrB5QmV+3t7dm5cycDBw5k0aJFtGrVSmPHrYeHB1C6A3nlypXExsbi5+cHwOrVq4mPj2ft2rWEhoaSmZmJt7c3rVq1AkqTcU+aNWuW+tzR0ZGQkBDi4uIICwtTjz98+JANGzZQv359AD7++GP69OnDkiVLsLW1Zc6cOSxZsoTXXnsNgEaNGpGSksKqVasYMWKEOk9ISIhaV3bu3Ll4eHiQlpaGq6srpqamaGlpYWtrqxHfm2++qT5v3Lgxy5cvp3Xr1uTn52NkZMSKFSvw9vZm4cKFar9169Zhb2/P5cuXcXZ2BsDT05M5c+YA4OTkxIoVKzh8+DA9evTg8OHD/PTTT1y7dg17e3sANmzYgIeHB2fOnKF169Z4eXlp7ACdP38+O3bsYPfu3UyePBkLCwu0tbXV3adlIiMjCQoKUm8k6OTkxPLly+ncuTMrV65ET0+Pp2VkZFC3bt0Ky0WMHDmSIUOGALBw4UKWL1/O6dOn6dWrF1evXqWkpISFCxeybNkyTE1NmTVrFj169ODHH39ER0en3HzPYmFhgY2NTaUlJ+7evcv8+fMxMjKiTZs2QGm5iKFDhwLQq1cvcnNzOXbsGF26dFHHNWnSRONLiec5efIkW7ZsYe/eyn9KHR0dTX5+vsYXAaampri4uGj0Cw4OpkWLFlhYWHDy5ElmzJhBVlYWH374odqnqKiIzz77jCZNmgAwefJk5s2bp7ZfvXqVb7/9lqCgIPbt20daWhoTJ06kqKhI/YwB1KtXj0ePHnHz5k0aNmxYYdyRkZHMnTu3ytdCCCGEEEIIIYSoCZIQFqIK0tPTefToEW3btlWPWVhYaCSoUlNTqV27tkYfS0tLXFxcSE1NBUp3CA8cOLDSNYqKimjfvr16rE6dOrRp00YdP2HCBAYMGMD58+fp2bMn/fr1U5PPAFu2bGH58uWkp6eTn59PcXExJiYmGus4ODioyWAAHx8fSkpKuHTpEsbGxqSnpzN69GiNuqzFxcWYmppqzOPp6ak+t7OzA+D27du4urpWdhk5d+4cERERJCcnk5OTQ0lJCVBa4sHd3Z3k5GSOHDmCkZFRhdfnyYTwk+zs7NTSE6mpqdjb26vJYAB3d3fMzMxITU1VE9ARERHs3buXrKwsiouLefDggbpDuDLJycn8+OOPbN68WT2mKAolJSVcu3atwl3ADx48qDBR/PR5GBoaYmJiop5HSUkJRUVFLF++nJ49ewLw5ZdfYmtry5EjR/D19X1mrBVRFKXcLtt27dpRq1Yt7t+/T+PGjdmyZQt169bl0qVLnD59mh07dgBQu3ZtBg0axNq1azUSwocPH67y+hcuXCAgIIA5c+ao5/S0L774grlz57Jr1y5sbGzU4/3796d///4afd999131uaenJzo6Orz11ltERkaiq6sLgIGBgZoMBs3PCpReZxsbGz7//HO0tbVp2bIlv/76K4sXL9ZICJftni4oKKj0/GbMmKERU15ensbnUAghhBBCCCGEeBFIQliIv1FZUumP8vPzIyMjg3379hEfH0+3bt2YNGkS0dHRJCYmEhQUxNy5c/H19cXU1JS4uLgKax1XJj8/HyjdmfxkYhtAW1tb43WdOnXU52VJxrIEb0Xu37+Pr68vvr6+bN68GWtrazIzM/H19VVLFOTn5+Pv788HH3xQbnxZ0vnptcvWf9baTwsJCSE+Pp7o6GiaNm2Kvr4+r7/+uhpHZfLz83nrrbcIDg4u1+bg4FDhGCsrK7VG9NOedR5l5+vu7q62W1tbY2Vl9dzEdUXu3LnDv//9bxo1aqRxfMuWLbi7u2NpaalxI7W1a9dSXFyscRM5RVHQ1dVlxYoV5b4geJ6UlBS6devGuHHjNHayPykuLo4xY8bwf//3f3Tv3r1a8wO0bduW4uJirl+/rn5ZU9E1frLshZ2dHXXq1NH4fLu5uXHz5k0ePXqk7sQuK+VhbW1d6fq6urpqIloIIYQQQgghhHhRSQ1hIaqgSZMm1KlTR73ZFpTe9Ovy5cvqazc3N4qLizX63Llzh0uXLqlJPU9Pz0p3VDZp0gQdHR0SEhLUY0VFRZw5c6ZcUnDEiBFs2rSJpUuX8vnnnwOlP8Vv2LAhM2fOpFWrVjg5OZGRkVFunczMTH777Tf19ffff0+tWrVwcXGhbt261KtXj6tXr9K0aVONx9OJxGfR0dEpV4P1559/5s6dO0RFRdGxY0dcXV3L3VCuRYsWXLx4EUdHx3LrP3mzsGdxc3Pjxo0bGrV2U1JSuHv3rnodExISGDlyJP3796dZs2bY2tqWK6VQ0Tm0aNGClJSUcrE1bdq00hIO3t7e3Lx5s9KkcGXKdoo/eRO47Oxsfv/990pLFjzLsmXLqFWrFv369dM4bm9vT5MmTTSSwcXFxWzYsIElS5aQlJSkPpKTk6lXrx5ffvlltda+ePEiXbt2ZcSIESxYsKDCPl9++SWjRo3iyy+/VEuRVFdSUhK1atXS2Fn8PO3btyctLU3jC4XLly9jZ2en8Z5euHCBBg0aVKs8hhBCCCGEEEII8SKSHcJCVIGRkRGjR48mNDQUS0tLbGxsmDlzpkZdWCcnJwICAhg7diyrVq3C2NiY6dOnU79+fQICAoDSn5Q3a9aMiRMnMn78eHR0dDhy5AgDBw7EysqKCRMmEBoaioWFBQ4ODixatIiCggJGjx4NwOzZs2nZsiUeHh4UFhayZ88etUyBk5MTmZmZxMXF0bp1a/bu3av+3P9Jenp6jBgxgujoaPLy8ggODiYwMFCtlTt37lyCg4MxNTWlV69eFBYWcvbsWXJycjR+Dv8sjo6O5Ofnc/jwYby8vDAwMMDBwQEdHR0+/vhjxo8fz4ULF5g/f77GuEmTJrF69WqGDBlCWFgYFhYWpKWlERcXx5o1a8rtUq5I9+7dadasGUFBQSxdupTi4mImTpxI586d1drLTk5ObN++HX9/f7S0tAgPDy+3w9jR0ZHvvvuOwYMHo6uri5WVFdOmTePll19m8uTJjBkzBkNDQ1JSUoiPj2fFihUVxuPt7Y2VlRUJCQn07du3StcPwNnZmYCAAN555x0+//xzTExMmDFjBq6urnTt2vWZY+/du8fNmzcpKiri2rVrbNq0iTVr1hAZGUnTpk2fu/aePXvIyclh9OjR5XYCDxgwgLVr1zJ+/PgqnceFCxd45ZVX8PX15d133+XmzZtA6Y7zst22X3zxBSNGjGDZsmW0bdtW7aOvr6+uv2PHDmbMmMHPP/8MQGJiIqdOnaJr164YGxuTmJjI1KlTGTp0KObm5lWKDUrLsKxYsYJ33nmHt99+mytXrrBw4cJyu8CPHz9eaZkLIYSoyPWoP/bllhBCCCGEEP9xihCiSu7du6cMHTpUMTAwUOrWrassWrRI6dy5s/LOO++ofbKzs5Vhw4Yppqamir6+vuLr66tcvnxZY56jR48q7dq1U3R1dRUzMzPF19dXycnJURRFUR48eKC8/fbbipWVlaKrq6u0b99eOX36tDp2/vz5ipubm6Kvr69YWFgoAQEBytWrV9X20NBQxdLSUjEyMlIGDRqkfPTRR4qpqanaPmfOHMXLy0v59NNPlXr16il6enrK66+/rmRnZ2vEuHnzZqV58+aKjo6OYm5urnTq1EnZvn27oiiKcu3aNQVQfvjhB7V/Tk6OAihHjhxRj40fP16xtLRUAGXOnDmKoijKF198oTg6Oiq6urqKj4+Psnv37nJzXb58Wenfv79iZmam6OvrK66ursqUKVOUkpISRVGUctdcURQlICBAGTFihPo6IyNDefXVVxVDQ0PF2NhYGThwoHLz5k21/dq1a0rXrl0VfX19xd7eXlmxYkW5eRMTExVPT09FV1dXefKfytOnTys9evRQjIyMFENDQ8XT01NZsGCB8ixhYWHK4MGDNY4Byo4dOzSOmZqaKjExMerr3Nxc5c0331TMzMwUCwsLpX///kpmZuYz12rYsKECKICio6OjODg4KIGBgcq3336r0a+i97FM3759ld69e1c4/6lTpxRASU5OVtcre38rMmfOHDWeJx8NGzZU+3Tu3LnCPk++pzExMRrvw7lz55S2bdsqpqamip6enuLm5qYsXLhQefjwocaYJz//iqIoO3bsUJ7+X9/JkyeVtm3bKrq6ukrjxo2VBQsWKMXFxWr7gwcPFFNTUyUxMbHS86xIbm6uAii5ubnVGieEEEIIIYQQQvwRVf07VEtRniimKIT4rxYREcHOnTtJSkqq6VD+p9y8eRMPDw/Onz//h8o9vKgKCgqwtLRk//79Gjea+2+zcuVKduzYwTfffFOtcXl5eZiampKbm1vu5o5CCCGEEEIIIcRfrap/h0oNYSGE+A+ztbVl7dq1f+hmcC+yI0eO8Morr/xXJ4Oh9MZ0H3/8cU2HIYQQQgghhBBC/CWkhrAQQvwNnr6Z23+DPn36/OEbwP2TjBkzpqZDEEIIIYQQQggh/jKyQ1iIP6lLly5MmTKlpsOokoiICCkXUYM6derEF198UdNhiGp69OgRjo6OnD17tqZDEUIIIYQQQggh/jRJCAsh/iNiY2MxMzOr6TD+FEdHR5YuXfqXzLV7925u3brF4MGDqzzmzp079OrVi3r16qGrq4u9vT2TJ08mLy/vmeO0tLTUh6GhIU5OTowcOZJz585p9Dt69KhG37p16zJgwACuXr2q0e/LL79EW1ubSZMmVf2En1onICAAOzs7DA0Nad68OZs3b9bos3r1ajp27Ii5uTnm5uZ0796d06dPP3fuJ+Mve8TFxVUrvpUrV+Lp6YmJiQkmJib4+Piwf/9+tV1HR4eQkBCmTZtWrXmFEEIIIYQQQogXkZSMEEKIv8Hy5csZNWoUtWpV/Xu4WrVqERAQwPvvv4+1tTVpaWlMmjSJ7Ozs5+40jomJoVevXjx8+JDLly/z+eef07ZtW9atW8fw4cM1+l66dAljY2OuXLnCuHHj8Pf358cff0RbWxuAtWvXEhYWxqpVq1iyZAl6enrVOveTJ0/i6enJtGnTqFu3Lnv27GH48OGYmprSt29foDRpPGTIENq1a4eenh4ffPABPXv25OLFi9SvX79K51qmul9ENGjQgKioKJycnFAUhfXr1xMQEMAPP/yAh4cHAEFBQbz33ntcvHhRPSaEEP9EjtP31nQI//OuR/33l1sSQgghxItNdggLUQ33799n+PDhGBkZYWdnx5IlS8r1ycnJYfjw4Zibm2NgYICfnx9XrlzR6JOQkECXLl0wMDDA3NwcX19fcnJyACgsLCQ4OBgbGxv09PTo0KEDZ86c0Zg/KCgIa2tr9PX1cXJyIiYmRm2fNm0azs7OGBgY0LhxY8LDwykqKlLbIyIiaN68OatWrcLe3h4DAwMCAwPJzc3ViHHNmjW4ubmhp6eHq6srn376qdp2/fp1tLS02L59O127dsXAwAAvLy8SExOB0uTeqFGjyM3NVXdtRkREALBx40ZatWqFsbExtra2vPHGG9y+fVtj7QsXLuDn54eRkRF169Zl2LBh/P7772p7ly5dCA4OJiwsDAsLC2xtbdX5y2RmZhIQEICRkREmJiYEBgZy69YttT09PZ2AgADq1q2LkZERrVu35tChQxprZGRkMHXqVPUcypw4cYKOHTuir6+Pvb09wcHB3L9/v9xnocy///1vvv32W/z9/TWOa2lpsWbNGvr374+BgQFOTk7s3r1bbTc3N2fChAm0atWKhg0b0q1bNyZOnMjx48crXauMmZkZtra2ODo60rNnT7766iuCgoKYPHmy+lkrY2Njg52dHZ06dWL27NmkpKSQlpYGwLVr1zh58iTTp0/H2dmZ7du3P3ftp/3rX/9i/vz5tGvXjiZNmvDOO+/Qq1cvjbk2b97MxIkTad68Oa6urqxZs4aSkhIOHz5c5XMtezyZsC77vG/cuBFHR0dMTU0ZPHgw9+7dU/v4+/vTu3dvnJyccHZ2ZsGCBRgZGfH999+rfczNzWnfvn21dx8LIYQQQgghhBAvGkkIC1ENoaGhHDt2jF27dvHNN99w9OhRzp8/r9Fn5MiRnD17lt27d5OYmIiiKPTu3VtNyiYlJdGtWzfc3d1JTEzkxIkT+Pv78/jxYwDCwsLYtm0b69ev5/z58zRt2hRfX1+ys7MBCA8PJyUlhf3795OamsrKlSuxsrJS1zc2NiY2NpaUlBSWLVvG6tWr+eijjzRiTEtLY+vWrXz99dccOHCAH374gYkTJ6rtmzdvZvbs2SxYsIDU1FQWLlxIeHg469ev15hn5syZhISEkJSUhLOzM0OGDKG4uJh27dqxdOlSTExMyMrKIisri5CQEACKioqYP38+ycnJ7Ny5k+vXrzNy5Eh1zrt37/LKK6/g7e3N2bNnOXDgALdu3SIwMFBj7fXr12NoaMipU6dYtGgR8+bNIz4+HoCSkhICAgLIzs7m2LFjxMfHc/XqVQYNGqSOz8/Pp3fv3hw+fJgffviBXr164e/vT2ZmJgDbt2+nQYMGzJs3Tz0HKE0k9+rViwEDBvDjjz+yZcsWTpw4weTJkyv93Jw4cQIDAwPc3NzKtc2dO5fAwEB+/PFHevfuTVBQkPpeP+23335j+/btdO7cudK1nmXq1Kncu3dPvU4V0dfXB0rr5kLp7ts+ffpgamrK0KFDWbt2bbkxWlpaxMbGViuW3NxcLCwsKm0vKCigqKhIo09ERASOjo7l+k6aNAkrKyvatGnDunXrUBRFoz09PZ2dO3eyZ88e9uzZw7Fjx4iKiqpw3cePHxMXF8f9+/fx8fHRaGvTps0zk/GFhYXk5eVpPIQQQgghhBBCiBeNlIwQoory8/NZu3YtmzZtolu3bkBpUrJBgwZqnytXrrB7924SEhJo164dUJpctbe3Z+fOnQwcOJBFixbRqlUrjR23ZT9Bv3//PitXriQ2NhY/Pz+gtLZqfHw8a9euJTQ0lMzMTLy9vWnVqhVAuQTZrFmz1OeOjo6EhIQQFxdHWFiYevzhw4ds2LBB/Sn+xx9/TJ8+fViyZAm2trbMmTOHJUuW8NprrwHQqFEjUlJSWLVqFSNGjFDnCQkJoU+f0p89zp07Fw8PD9LS0nB1dcXU1BQtLS1sbW014nvzzTfV540bN2b58uW0bt2a/Px8jIyMWLFiBd7e3ixcuFDtt27dOuzt7bl8+TLOzs4AeHp6MmfOHACcnJxYsWIFhw8fpkePHhw+fJiffvqJa9euYW9vD8CGDRvw8PDgzJkztG7dGi8vL7y8vNQ15s+fz44dO9i9ezeTJ0/GwsICbW1tdSdzmcjISIKCgtQbCTo5ObF8+XI6d+7MypUrKyynkJGRQd26dSssFzFy5EiGDBkCwMKFC1m+fDmnT5/WKIEwZMgQdu3axYMHD/D392fNmjXl5qkKV1dXoHSHd0WysrKIjo6mfv36uLi4UFJSQmxsLB9//DEAgwcP5r333uPatWs0atRIHefi4oKpqWmV49i6dStnzpxh1apVlfaZNm0a9erVo3v37uoxKysrmjRpotFv3rx5vPLKKxgYGPDNN98wceJE8vPzCQ4OVvuUnYexsTEAw4YN4/DhwyxYsEDt89NPP+Hj48PDhw8xMjJix44duLu7a6xVr149MjIyKo05MjKSuXPnVu0iCCGEEEIIIYQQNUR2CAtRRenp6Tx69Ii2bduqxywsLHBxcVFfp6amUrt2bY0+lpaWuLi4kJqaCvy/HcKVrVFUVET79u3VY3Xq1KFNmzbq+AkTJhAXF0fz5s0JCwvj5MmTGnNs2bKF9u3bY2tri5GREbNmzVJ3vZZxcHDQqMvq4+NDSUkJly5d4v79+6SnpzN69GiMjIzUx/vvv096errGPJ6enupzOzs7gHLlH5527tw5/P39cXBwwNjYWN3tWhZjcnIyR44c0Vi7LJH55PpPrl22ftnaqamp2Nvbq8lgAHd3d8zMzNTrmJ+fT0hICG5ubpiZmWFkZERqamq5a/W05ORkYmNjNeLz9fWlpKSEa9euVTjmwYMHldbdffI8DA0NMTExKXcNP/roI86fP8+uXbtIT0/n3XfffWaMlSnbOftk+QsoraFraGhIvXr1uH//Ptu2bUNHR4f4+Hju379P7969gdKEbI8ePVi3bp3G+J9//pn+/ftXKYYjR44watQoVq9eXWkt3qioKOLi4tixY4fGdZs8eXK5EhLh4eG0b98eb29vpk2bRlhYGIsXL9bo4+joqCaDQfOzUsbFxYWkpCROnTrFhAkTGDFiBCkpKRp99PX1KSgoqPTcZsyYQW5urvq4cePGsy+GEEIIIYQQQghRA2SHsBB/s7Kf5P9Rfn5+ZGRksG/fPuLj4+nWrRuTJk0iOjqaxMREgoKCmDt3Lr6+vpiamhIXF1dhrePK5OfnA6U7k59MbAPqTcbK1KlTR31elmQsKSmpdO779+/j6+uLr68vmzdvxtramszMTHx9fdUSBfn5+fj7+/PBBx+UG1+WdH567bL1n7X200JCQoiPjyc6OpqmTZuir6/P66+/rsZRmfz8fN566y2NHahlHBwcKhxjZWVVrm5vmaqcR1ltXFdXVywsLOjYsSPh4eEa16MqypLhT+7uBTh+/DgmJibY2NhoJE7Xrl1Ldna2xme2pKSEH3/8kblz51brBnkAx44dw9/fn48++qjcje3KREdHExUVxaFDh8ol/auibdu2zJ8/n8LCQnR1dYGqXWMdHR2aNm0KQMuWLTlz5gzLli3T2MWcnZ2NtbV1pWvr6uqqawohhBBCCCGEEC8qSQgLUUVNmjShTp06nDp1Sk385eTkcPnyZXWXq5ubG8XFxZw6dUotGXHnzh0uXbqk/vzc09OTw4cPV/jT8iZNmqCjo0NCQgINGzYESmvunjlzRi1RAGBtbc2IESMYMWIEHTt2JDQ0lOjoaE6ePEnDhg2ZOXOm2rein7hnZmby22+/Ua9ePQC+//57atWqhYuLC3Xr1qVevXpcvXqVoKCgP3y9dHR01LrIZX7++Wfu3LlDVFSUunv37NmzGn1atGjBtm3bcHR0pHbtP/ZPlJubGzdu3ODGjRvqOikpKdy9e1d9HxISEhg5cqS6szU/P79cKYWKzqFFixakpKSoycOq8Pb25ubNm+Tk5GBubv6HzqlMWSKzsLCw2mPL6jo/WYYBShPEZmZmGsfu3LnDrl27iIuL09jJ+/jxYzp06MA333yjUdbieY4ePUrfvn354IMPGDduXIV9Fi1axIIFCzh48KBaEqW6kpKSMDc3/9OJ2ZKSknLX+MKFC3h7e/+peYUQQgghhBBCiJomCWEhqsjIyIjRo0cTGhqKpaUlNjY2zJw5U2OXpJOTEwEBAYwdO5ZVq1ZhbGzM9OnTqV+/PgEBAUDpz8qbNWvGxIkTGT9+PDo6Ohw5coSBAwdiZWXFhAkTCA0NxcLCAgcHBxYtWkRBQQGjR48GYPbs2bRs2RIPDw8KCwvZs2ePerMyJycnMjMziYuLo3Xr1uzdu5cdO3aUOxc9PT1GjBhBdHQ0eXl5BAcHExgYqNbKnTt3LsHBwZiamtKrVy8KCws5e/YsOTk5VS5X4OjoSH5+PocPH8bLywsDAwMcHBzQ0dHh448/Zvz48Vy4cIH58+drjJs0aRKrV69myJAhhIWFYWFhQVpaGnFxcaxZs6bcLuWKdO/enWbNmhEUFMTSpUspLi5m4sSJdO7cWU00Ojk5sX37dvz9/dHS0iI8PLzcrlFHR0e+++47Bg8ejK6uLlZWVkybNo2XX36ZyZMnM2bMGAwNDUlJSSE+Pp4VK1ZUGI+3tzdWVlYkJCTQt2/fKl0/gH379nHr1i1at26NkZERFy9eJDQ0lPbt21d4c7Un3b17l5s3b1JYWMjly5dZtWoVO3fuZMOGDeWSvxXZuHEjlpaWBAYGlisx0bt3b9auXVvlhPCRI0fo27cv77zzDgMGDODmzZtAacK97KZxH3zwAbNnz+aLL77A0dFR7VNWlgNgxYoV7NixQy0b8fXXX3Pr1i1efvll9PT0iI+PZ+HCheoNDKtqxowZ+Pn54eDgwL179/jiiy84evQoBw8e1Oh3/Pjxcp9XIYT4p7ke1aemQxBCCCGEEDVMaggLUQ2LFy+mY8eO+Pv70717dzp06EDLli01+sTExNCyZUv69u2Lj48PiqKwb98+9Wfrzs7OfPPNNyQnJ9OmTRt8fHzYtWuXuhs2KiqKAQMGMGzYMFq0aEFaWhoHDx5Ud5bq6OgwY8YMPD096dSpE9ra2sTFxQHw6quvMnXqVCZPnkzz5s05efIk4eHh5c6jadOmvPbaa/Tu3ZuePXvi6empcZO7MWPGsGbNGmJiYmjWrBmdO3cmNja2XKmBZ2nXrh3jx49n0KBBWFtbs2jRIqytrYmNjeX//u//cHd3JyoqiujoaI1x9erVIyEhgcePH9OzZ0+aNWvGlClTMDMzq3KJAi0tLXbt2oW5uTmdOnWie/fuNG7cmC1btqh9PvzwQ8zNzWnXrh3+/v74+vrSokULjXnmzZvH9evXadKkiVoqwNPTk2PHjnH58mU6duyIt7c3s2fPVndbV0RbW5tRo0axefPmql4+oLS8yOrVq+nQoQNubm5MnTqVV199lT179jx37KhRo7Czs8PV1ZUJEyZgZGTE6dOneeONN6q09rp16+jfv3+5ZDDAgAED2L17N7///jtQer1jY2MrnWv9+vUUFBQQGRmJnZ2d+ii7aSHAypUrefToEa+//rpGnyc/H7///rtGHek6derwySef4OPjQ/PmzVm1ahUffviherPBqrp9+zbDhw/HxcWFbt26cebMGQ4ePEiPHj3UPomJieTm5vL6669Xa24hhBBCCCGEEOJFo6WU3WVICPE/ISIigp07d5KUlFTTofxPuXnzJh4eHpw/f14tB/Lf4Nq1azg7O5OSkoKTk1NNh/MfM2jQILy8vPjXv/5V5TF5eXmYmpqSm5uLiYnJfzA6IYQQQgghhBCi6n+Hyg5hIYT4G9ja2rJ27VoyMzNrOpS/1L59+xg3btx/dTL40aNHNGvWjKlTp9Z0KEIIIYQQQgghxJ8mCWEh/gG6dOmicVO5F11ERATNmzev6TBeOP369aNjx45/ep5Lly5ha2vLvXv3/oKo/pxJkybxySef1HQY/1FpaWl89tln5WpMCyGEEEIIIYQQ/0SSEBbif0xERISUi/ibHT16FC0tLe7evfuXzDdjxgzefvttjI2NNebX0tKiVq1amJqa4u3tTVhYGFlZWRpjK0vWX79+HS0trQo/G76+vmhra3PmzJk/FG9kZCStW7fG2NgYGxsb+vXrx6VLl9T27Oxs3n77bVxcXNDX18fBwYHg4GByc3OfO/fdu3eZNGkSdnZ26Orq4uzszL59+6oV31tvvUWTJk3Q19fH2tqagIAAfv75Z7Xd3d2dl19+mQ8//LBa8wohhBBCCCGEEC+i2jUdgBBCiKrLzMxkz549fPzxx+XaLl26hImJCXl5eZw/f55Fixaxdu1ajh49SrNmzf7weidPnmTy5MmsW7eO1q1bV3uOY8eOMWnSJFq3bk1xcTH/+te/6NmzJykpKRgaGvLbb7/x22+/ER0djbu7OxkZGYwfP57ffvuNr776qtJ5Hz16RI8ePbCxseGrr76ifv36ZGRkYGZmVq34WrZsSVBQEA4ODmRnZxMREUHPnj25du0a2traQOlN+saOHcuMGTPUG0AKIcQ/keP0vTUdgqhh16P61HQIQgghhKhhskNYiBfM/fv3GT58OEZGRtjZ2bFkyZJyfXJychg+fDjm5uYYGBjg5+fHlStXNPokJCTQpUsXDAwMMDc3x9fXl5ycHAAKCwsJDg7GxsYGPT09OnTooLH7Mycnh6CgIKytrdHX18fJyYmYmBi1fdq0aTg7O2NgYEDjxo0JDw+nqKioXJwbN27E0dERU1NTBg8erFHioKSkhMjISBo1aoS+vj5eXl5q8k9RFLp3746vry9l973Mzs6mQYMGzJ49G4DHjx8zevRodbyLiwvLli0rF8OaNWtwc3NDT08PV1dXPv30U7WtbFfs9u3b6dq1KwYGBnh5eZGYmKgxx7Zt2/Dw8EBXVxdHR8dy78nGjRtp1aoVxsbG2Nra8sYbb3D79m11ja5duwJgbm6OlpYWI0eOfO41qMzWrVvx8vKifv365dpsbGywtbXF2dmZwYMHk5CQgLW1NRMmTHjmnM8SExND3759mTBhAl9++SUPHjyo9hwHDhxg5MiReHh44OXlRWxsLJmZmZw7dw6Al156iW3btuHv70+TJk145ZVXWLBgAV9//TXFxcWVzrtu3Tqys7PZuXMn7du3x9HRkc6dO+Pl5aX26dKlC8HBwYSFhWFhYYGtrS0REREa84wbN45OnTrh6OhIixYteP/997lx4wbXr19X+/To0YPs7GyOHTtW7fMXQgghhBBCCCFeJJIQFuIFExoayrFjx9i1axfffPMNR48e5fz58xp9Ro4cydmzZ9m9ezeJiYkoikLv3r3VpGxSUhLdunXD3d2dxMRETpw4gb+/P48fPwYgLCyMbdu2sX79es6fP0/Tpk3x9fUlOzsbgPDwcFJSUti/fz+pqamsXLkSKysrdX1jY2NiY2NJSUlh2bJlrF69mo8++kgjxvT0dHbu3MmePXvYs2cPx44dIyoqSm2PjIxkw4YNfPbZZ1y8eJGpU6cydOhQjh07hpaWFuvXr+fMmTMsX74cgPHjx1O/fn01IVxSUkKDBg34v//7P1JSUpg9ezb/+te/2Lp1q7rG5s2bmT17NgsWLCA1NZWFCxcSHh7O+vXrNWKdOXMmISEhJCUl4ezszJAhQ9RE5Llz5wgMDGTw4MH89NNPREREEB4eTmxsrDq+qKiI+fPnk5yczM6dO7l+/bqa9LW3t2fbtm1A6Q7erKwsNXH9rGtQmePHj9OqVatK25+kr6/P+PHjSUhIUBPU1aEoCjExMQwdOhRXV1eaNm1aLmEdGxuLlpZWteYtKwVhYWHxzD4mJiYau3EdHR01krm7d+/Gx8eHSZMmUbduXV566SUWLlyofs7LrF+/HkNDQ06dOsWiRYuYN28e8fHxFa57//59YmJiaNSoEfb29upxHR0dmjdvzvHjx6t1rkIIIYQQQgghxItGfvcqxAskPz+ftWvXsmnTJrp16waUJrMaNGig9rly5Qq7d+8mISGBdu3aAaWJT3t7e3bu3MnAgQNZtGgRrVq10tgN6+HhAZQmvFauXElsbCx+fn4ArF69mvj4eNauXUtoaCiZmZl4e3uriUdHR0eNOGfNmqU+d3R0JCQkhLi4OMLCwtTjJSUlxMbGqnVuhw0bxuHDh1mwYAGFhYUsXLiQQ4cO4ePjA0Djxo05ceIEq1atonPnztSvX59Vq1YxfPhwbt68yb59+/jhhx/UBGGdOnWYO3euul6jRo1ITExk69atBAYGAjBnzhyWLFnCa6+9pvZJSUlh1apVjBgxQh0bEhJCnz6lP5+cO3cuHh4epKWl4erqyocffki3bt0IDw8HwNnZmZSUFBYvXqwmfd988011rsaNG7N8+XJat25Nfn4+RkZGauLTxsZGLWdQlWtQkYyMjConhAFcXV2B0p3KNjY2APz0008YGRlp9Cvbif2kQ4cOUVBQgK+vLwBDhw5l7dq1DBs2TO1jamqKi4tLleMpKSlhypQptG/fnpdeeqnCPr///jvz589n3LhxGsebNGmi8cXE1atX+fbbbwkKCmLfvn2kpaUxceJEioqKmDNnjtrP09NTfe3k5MSKFSs4fPgwPXr0UPt8+umnhIWFcf/+fVxcXIiPj0dHR0dj/Xr16pGRkVHpuRUWFlJYWKi+zsvLq8IVEUIIIYQQQggh/l6SEBbiBZKens6jR49o27ateszCwkIj4Zaamkrt2rU1+lhaWuLi4kJqaipQukN44MCBla5RVFRE+/bt1WN16tShTZs26vgJEyYwYMAAzp8/T8+ePenXr5+afAbYsmULy5cvJz09nfz8fIqLizExMdFYx9HRUU0GA9jZ2am7VNPS0igoKNBIyEFpTVhvb2/19cCBA9mxYwdRUVGsXLkSJycnjf6ffPIJ69atIzMzkwcPHvDo0SP1hmn3798nPT2d0aNHM3bsWHVMcXExpqamGvN4enpqxAlw+/ZtXF1dSU1NJSAgQKN/+/btWbp0KY8fP0ZbW5tz584RERFBcnIyOTk5lJSUAKX1d93d3cu9B9W5Bk978OABenp6lbY/rSzR++QuXhcXF3bv3q3R79dff6VLly4ax9atW8egQYPUJPyQIUMIDQ0lPT2dJk2aANC/f3/69+9f5XgmTZrEhQsXOHHiRIXteXl59OnTB3d393KlHQ4fPqzxuqSkBBsbGz7//HO0tbVp2bIlv/76K4sXLy6XEH7Sk5/FMkFBQfTo0YOsrCyio6MJDAwkISFB41rr6+tTUFBQ6blFRkZqfEkhhBBCCCGEEEK8iCQhLMR/IX19/T813s/Pj4yMDPbt20d8fDzdunVj0qRJREdHk5iYSFBQEHPnzsXX1xdTU1Pi4uLK1dWtU6eOxmstLS01UZqfnw/A3r17y9XC1dXVVZ8XFBRw7tw5tLW1y9VIjouLIyQkhCVLluDj44OxsTGLFy/m1KlTGmusXr1aI3kOqDcKqyjWssRpWazPc//+fXx9ffH19WXz5s1YW1uTmZmJr68vjx49qnRcVa/B06ysrNRa0FVRluR/cpe3jo4OTZs21ej39I3SsrOz2bFjB0VFRaxcuVI9/vjxY9atW8eCBQuqHEOZyZMns2fPHr777juNXe9l7t27R69evTA2NmbHjh3lPkNPs7Ozo06dOhrvp5ubGzdv3uTRo0fqDt9nfRbLmJqaYmpqipOTEy+//DLm5ubs2LGDIUOGqH2ys7PVRHhFZsyYwbvvvqu+zsvL0yg7IYQQQgghhBBCvAikhrAQL5AmTZpQp04dNakJpTd4u3z5svrazc2N4uJijT537tzh0qVL6m5UT0/Pcrspn1xDR0eHhIQE9VhRURFnzpzR2M1qbW3NiBEj2LRpE0uXLuXzzz8H4OTJkzRs2JCZM2fSqlUrnJycnvkz+oq4u7ujq6tLZmYmTZs21Xg8mUB77733qFWrFvv372f58uV8++23altZyYyJEyfi7e1N06ZNSU9PV9vr1q1LvXr1uHr1ark1GjVqVOVY3dzcNK5V2drOzs5oa2vz888/c+fOHaKioujYsSOurq7ldp+WJSafrG1b1WvwNG9vb1JSUqoU+4MHD/j888/p1KkT1tbWVT1loLQMSYMGDUhOTiYpKUl9LFmyhNjY2HJ1ep9FURQmT57Mjh07+Pbbbyu8/nl5efTs2RMdHR12795dpV3Q7du3Jy0tTSO5e/nyZezs7MqVe6gORVFQFEWj/APAhQsXnrl7W1dXFxMTE42HEEIIIYQQQgjxopEdwkK8QIyMjBg9ejShoaFYWlpiY2PDzJkzqVXr/3134+TkREBAAGPHjmXVqlUYGxszffp06tevr5Y2mDFjBs2aNWPixImMHz8eHR0djhw5wsCBA7GysmLChAmEhoZiYWGBg4MDixYtoqCggNGjRwMwe/ZsWrZsiYeHB4WFhezZswc3Nzd1/czMTOLi4mjdujV79+5lx44d1TpPY2NjQkJCmDp1KiUlJXTo0IHc3FwSEhIwMTFhxIgR7N27l3Xr1pGYmEiLFi0IDQ1lxIgR/Pjjj5ibm+Pk5MSGDRs4ePAgjRo1YuPGjZw5c0Yj2Th37lyCg4MxNTWlV69eFBYWcvbsWXJycjR2cj7Le++9R+vWrZk/fz6DBg0iMTGRFStWqPWZHRwc0NHR4eOPP2b8+PFcuHCB+fPna8zRsGFDtLS02LNnD71790ZfX79K16Aivr6+jBkzRi1X8aTbt2/z8OFD7t27x7lz51i0aBG///4727dvr87bA8DatWt5/fXXy9X5tbe3Z8aMGRw4cECtu/w8kyZN4osvvmDXrl0YGxtz8+ZNoHRXrr6+vpoMLigoYNOmTeTl5an1d62trdXz7NatG/3792fy5MlAaWmTFStW8M477/D2229z5coVFi5cSHBwcJXP8+rVq2zZsoWePXtibW3NL7/8QlRUFPr6+vTu3Vvtd/36dX799Ve6d+9e5bmFEOJFdD2qav92CyGEEEKI/2KKEOKFcu/ePWXo0KGKgYGBUrduXWXRokVK586dlXfeeUftk52drQwbNkwxNTVV9PX1FV9fX+Xy5csa8xw9elRp166doqurq5iZmSm+vr5KTk6OoiiK8uDBA+Xtt99WrKysFF1dXaV9+/bK6dOn1bHz589X3NzcFH19fcXCwkIJCAhQrl69qraHhoYqlpaWipGRkTJo0CDlo48+UkxNTdX2OXPmKF5eXhrxfPTRR0rDhg3V1yUlJcrSpUsVFxcXpU6dOoq1tbXi6+urHDt2TLl9+7ZSt25dZeHChWr/R48eKS1btlQCAwMVRVGUhw8fKiNHjlRMTU0VMzMzZcKECcr06dPLrbt582alefPmio6OjmJubq506tRJ2b59u6IoinLt2jUFUH744Qe1f05OjgIoR44cUY999dVXiru7u1KnTh3FwcFBWbx4scYaX3zxheLo6Kjo6uoqPj4+yu7du8vNO2/ePMXW1lbR0tJSRowY8dxrUJmioiKlXr16yoEDB9RjR44cUQAFULS0tBRjY2PFy8tLCQ0NVbKysjTGV/TePH0tzp49qwAan4kn+fn5Kf3791cURVFiYmKU5/2vpCy2px8xMTHl4n/6ce3aNXWehg0bKnPmzNGY++TJk0rbtm0VXV1dpXHjxsqCBQuU4uJitf3p/3YURVECAgLU9+DXX39V/Pz8FBsbG6VOnTpKgwYNlDfeeEP5+eefNcYsXLhQ8fX1feZ5Pi03N1cBlNzc3GqNE0IIIYQQQggh/oiq/h2qpSgV3FpeCCHEC+uTTz5h9+7dHDx4sKZDYc6cORw7doyjR4/WdCj/MY8ePcLJyYkvvvhC42aMz5OXl4epqSm5ublSPkIIIYQQQgghxH9cVf8OlZIRQgjxD/PWW29x9+5d7t27h7GxcY3Gsn//flasWFGjMfynZWZm8q9//atayWAhhBBCCCGEEOJFJTuEhRBCiP8A2SEshBBCCCGEEOLvVNW/Q2tV2iKEEOIfrUuXLkyZMqWmw/jDIiIiaP7/sXfnUVWV3+PH31cEZJ4VVBRkEhARxwDNMcEBh0rQSEVRc8AZVEQUNWcpNUtLDTTzg5VjWuaQkCI55gTkVEqfwhGFwASE+/vDH+frjUHMAe2zX2vdtbjPec5+9jkXa7F52KdJE+V9SEgIvXr1qrJ8hBBCCCGEEEKIfwNpGSGEEOKlsHTpUp72H7WEhIRw584dtm7d+lTjCiGEEEIIIYQQLyopCAshhHgpmJiYVHUKQgjx0rObsvOZr3F5frdnvoYQQgghhPjnpGWEEEL8C+Tl5TFgwAAMDQ2xsbEhNjZW4/jt27cZMGAAZmZm6Ovr06VLFy5cuKAxJzk5mXbt2qGvr4+ZmRl+fn7cvn0bgPz8fMaMGUPNmjWpUaMGrVu35ujRoxrxg4ODsbKyQk9PDycnJ+Li4pTjkydPxtnZGX19fRo0aEB0dDSFhYUa68+fP59atWphZGREaGgo9+7d0zj+95YRj8qpqKiI0NBQ7O3t0dPTw8XFhaVLlyrHY2JiWLt2Ldu2bUOlUqFSqUhMTATgt99+IzAwEFNTU8zNzenZsyeXL1+u/AcihBBCCCGEEEK8oKQgLIQQ/wIREREkJSWxbds2du/eTWJiIidOnFCOh4SEcOzYMbZv305KSgpqtZquXbsqRdmTJ0/SsWNH3NzcSElJ4eDBgwQEBFBUVATApEmT2LRpE2vXruXEiRM4Ojri5+dHVlYWANHR0aSlpfHtt9+Snp7OihUrsLS0VNY3MjIiPj6etLQ0li5dyqpVq3j//feV41988QUxMTHMnTuXY8eOYWNjw0cffVThNT8qp+LiYurWrcuXX35JWloa06dPZ+rUqXzxxRcAhIeHExgYiL+/P5mZmWRmZuLj40NhYSF+fn4YGRlx4MABkpOTMTQ0xN/fn4KCgqfwaQkhhBBCCCGEEFVHpX7aDRmFEEI8V7m5uVhYWLB+/Xr69OkDQFZWFnXr1mXYsGGMGjUKZ2dnkpOT8fHxAeDWrVvY2tqydu1a+vTpw1tvvUVGRgYHDx4sFT8vLw8zMzPi4+N56623ACgsLMTOzo5x48YRERFBjx49sLS05NNPP61UzosXLyYhIYFjx44B4OPjg5eXFx9++KEy55VXXuHevXucPHkS0Oz3W5mcyhIWFsbVq1f56quvSsUssX79et59913S09NRqVQAFBQUYGpqytatW+ncuXOZsfPz88nPz1fe5+TkYGtr+8inuwohxPMkLSOEEEIIIf69cnJyMDExeeTPobJDWAghXnKXLl2ioKCAVq1aKWPm5ua4uLgAkJ6eTvXq1TWOW1hY4OLiQnp6OvB/O4TLi19YWIivr68ypq2tTcuWLZXzR4wYQUJCAk2aNGHSpEkcOnRII8bGjRvx9fXF2toaQ0NDpk2bRkZGhnI8PT1dIz8Ab2/vCq/5UTkBfPjhhzRr1gwrKysMDQ355JNPNNYty6lTp7h48SJGRkYYGhpiaGiIubk59+7d49KlS+WeN2/ePExMTJSXra1thesIIYQQQgghhBBVQQrCQggh0NPTe6Lzu3TpwpUrVxg/fjx//PEHHTt2JDw8HICUlBSCg4Pp2rUrO3bs4KeffiIqKuqZt19ISEggPDyc0NBQdu/ezcmTJxk0aNAj183NzaVZs2acPHlS43X+/HllN3JZIiMjyc7OVl6//fbb074kIYQQQgghhBDiiUlBWAghXnIODg5oa2tz+PBhZez27ducP38eAFdXV+7fv69x/NatW5w7dw43NzcAGjduzL59+8qNr6OjQ3JysjJWWFjI0aNHlfMBrKysGDhwIOvXr2fJkiV88sknABw6dIj69esTFRVF8+bNcXJy4sqVKxpruLq6auQH8OOPP1Z4zY/KqaRFxsiRI/Hy8sLR0bHUDl8dHR2lT3KJpk2bcuHCBWrWrImjo6PGy8TEpNycdHV1MTY21ngJIYQQQgghhBAvmupVnYAQQognY2hoSGhoKBEREVhYWFCzZk2ioqKoVu3B7/ycnJzo2bMnQ4cO5eOPP8bIyIgpU6ZQp04devbsCTzY3erh4cHIkSMZPnw4Ojo67N+/nz59+mBpacmIESOIiIjA3NycevXqsXDhQu7evUtoaCgA06dPp1mzZri7u5Ofn8+OHTtwdXVV1s/IyCAhIYEWLVqwc+dOtmzZonENY8eOJSQkhObNm+Pr68vnn39OamoqDRo0KPOaDQwMHpmTk5MT69at47vvvsPe3p7PPvuMo0ePYm9vr8Sxs7Pju+++49y5c1hYWGBiYkJwcDCLFi2iZ8+ezJo1i7p163LlyhU2b97MpEmTqFu37tP9AIUQ4jmS/r5CCCGEEEJ2CAshxL/AokWLaNOmDQEBAXTq1InWrVvTrFkz5XhcXBzNmjWje/fueHt7o1ar+eabb9DW1gbA2dmZ3bt3c+rUKVq2bIm3tzfbtm2jevUHvzecP38+b7zxBv3796dp06ZcvHiR7777DjMzM+DBTtvIyEgaN27Mq6++ipaWFgkJCQD06NGD8ePHExYWRpMmTTh06BDR0dEa+QcFBREdHc2kSZNo1qwZV65cYcSIERVe86Nyeuedd3j99dcJCgqiVatW3Lp1i5EjR2rEGDp0KC4uLjRv3hwrKyuSk5PR19fnhx9+oF69erz++uu4uroSGhrKvXv3ZNevEEIIIYQQQoiXnkqtVqurOgkhhBDi36ayT3cVQgghhBBCCCGehsr+HCo7hIUQQgghhBBCCCGEEOJ/hBSEhRBCCCGEEEIIIYQQ4n+EFISFEEIIIYQQQgghhBDif4QUhIUQL6R27doxbty4qk7jicTExNCkSRPlfUhICL169aqyfJ6Xffv24erqSlFRUVWn8lQUFBRgZ2fHsWPHqjoVIYQQQgghhBDiiVWv6gSEEOJ/xdKlS3kRn+MZHx/PuHHjuHPnzlOJN2nSJKZNm4aWlhYAmzdvZsWKFZw8eZL8/Hzc3d2JiYnBz89POWfevHls3ryZn3/+GT09PXx8fFiwYAEuLi7lrpOYmMj777/PkSNHyMnJwcnJiYiICIKDgx875/T0dCZPnkxSUhL379/Hzc2NTZs2Ua9ePXR0dAgPD2fy5Mns27fv8W+IEEK8QOym7KzqFP4nXZ7frapTEEIIIYRQyA5hIYR4TkxMTDA1Na3qNJ6pgwcPcunSJd544w1l7IcffuC1117jm2++4fjx47Rv356AgAB++uknZU5SUhKjRo3ixx9/ZM+ePRQWFtK5c2fy8vLKXevQoUM0btyYTZs2cfr0aQYNGsSAAQPYsWPHY+V86dIlWrduTcOGDUlMTOT06dNER0dTo0YNZU5wcDAHDx4kNTX1sWILIYQQQgghhBAvGikICyGqXF5eHgMGDMDQ0BAbGxtiY2NLzbl9+zYDBgzAzMwMfX19unTpwoULFzTmJCcn065dO/T19TEzM8PPz4/bt28DkJ+fz5gxY6hZsyY1atSgdevWHD16VCN+cHAwVlZW6Onp4eTkRFxcnHJ88uTJODs7o6+vT4MGDYiOjqawsFBj/fnz51OrVi2MjIwIDQ3l3r17Gsf/3jKiuLiYefPmYW9vj56eHp6ennz11VfK8cTERFQqFfv27aN58+bo6+vj4+PDuXPnNOKuWLECBwcHdHR0cHFx4bPPPtM4/t577+Hh4YGBgQG2traMHDmS3NxcZY1BgwaRnZ2NSqVCpVIRExOj3LPw8HDq1KmDgYEBrVq1IjExsayPUJGQkMBrr72mUUxdsmQJkyZNokWLFjg5OTF37lycnJz4+uuvlTm7du0iJCQEd3d3PD09iY+PJyMjg+PHj5e71tSpU5k9ezY+Pj44ODgwduxY/P392bx5c6l7vnjxYmxsbLCwsGDUqFEan11UVBRdu3Zl4cKFeHl54eDgQI8ePahZs6Yyx8zMDF9fXxISEiq8fiGEEEIIIYQQ4kUnBWEhRJWLiIggKSmJbdu2sXv3bhITEzlx4oTGnJCQEI4dO8b27dtJSUlBrVbTtWtXpbB38uRJOnbsiJubGykpKRw8eJCAgAClj+2kSZPYtGkTa9eu5cSJEzg6OuLn50dWVhYA0dHRpKWl8e2335Kens6KFSuwtLRU1jcyMiI+Pp60tDSWLl3KqlWreP/995XjX3zxBTExMcydO5djx45hY2PDRx99VOF1z5s3j3Xr1rFy5UpSU1MZP348b7/9NklJSRrzoqKiiI2N5dixY1SvXp3Bgwcrx7Zs2cLYsWOZOHEiZ8+e5Z133mHQoEHs379fmVOtWjWWLVtGamoqa9eu5fvvv2fSpEkA+Pj4sGTJEoyNjcnMzCQzM5Pw8HAAwsLCSElJISEhgdOnT9OnTx/8/f1LFeIfduDAAZo3b17hdRcXF/Pnn39ibm5e7pzs7GwAjTkhISG0a9euwtjZ2dml4u7fv59Lly6xf/9+1q5dS3x8PPHx8UouO3fuxNnZGT8/P2rWrEmrVq3YunVrqdgtW7bkwIED5a6dn59PTk6OxksIIYQQQgghhHjRqNQvYkNLIcT/jNzcXCwsLFi/fj19+vQBICsri7p16zJs2DCWLFnChQsXcHZ2Jjk5GR8fHwBu3bqFra0ta9eupU+fPrz11ltkZGRw8ODBUmvk5eVhZmZGfHw8b731FgCFhYXY2dkxbtw4IiIi6NGjB5aWlnz66aeVynvx4sUkJCQoDxrz8fHBy8uLDz/8UJnzyiuvcO/ePU6ePAk8KGjeuXOHrVu3kp+fj7m5OXv37sXb21s5Z8iQIdy9e5cNGzaQmJhI+/bt2bt3Lx07dgTgm2++oVu3bvz111/UqFEDX19f3N3d+eSTT5QYgYGB5OXlsXNn2X0iv/rqK4YPH87NmzeBsnsIZ2Rk0KBBAzIyMqhdu7Yy3qlTJ1q2bMncuXPLjG1qasoHH3xA//79y713CxcuZP78+fz8888au3BLFBcX06NHD+7cuaPxeUZGRvL777+zbt26MuN+8cUX9O/fnxMnTuDu7g48uOeJiYlcunRJ6WkcGBhItWrVSEhI4OrVq9jY2KCvr8+7775L+/bt2bVrF1OnTmX//v20bdtWib9s2TLef/99fv311zLXj4mJYebMmaXGs7OzMTY2Lvd+CCHE8yQ9hKuG9BAWQgghxPOQk5ODiYnJI38OlYfKCSGq1KVLlygoKKBVq1bKmLm5ucbDxNLT06levbrGHAsLC1xcXEhPTwce7BAuKSiXtUZhYSG+vr7KmLa2Ni1btlTOHzFiBG+88QYnTpygc+fO9OrVSyk+A2zcuJFly5Zx6dIlcnNzuX//vsZ/XNPT0xk+fLjGut7e3ho7dR928eJF7t69y2uvvaYxXlBQgJeXl8ZY48aNla9tbGwAuH79OvXq1SM9PZ1hw4ZpzPf19WXp0qXK+7179zJv3jx+/vlncnJyuH//Pvfu3ePu3bvo6+uXmd+ZM2coKirC2dlZYzw/Px8LC4syzwGUQnV5NmzYwMyZM9m2bVuZxWCAUaNGcfbs2VLF/Xnz5pUbd//+/QwaNIhVq1YpxeAS7u7uSjEYHtzDM2fOAA+KzwA9e/Zk/PjxADRp0oRDhw6xcuVKjYKwnp4ed+/eLTeHyMhIJkyYoLzPycnB1ta23PlCCCGEEEIIIURVkIKwEOJfQU9P74nO79KlC1euXOGbb75hz549dOzYkVGjRrF48WJSUlIIDg5m5syZ+Pn5YWJiQkJCQpm9jiurpIfvzp07qVOnjsYxXV1djffa2trK1yqVCvi/QuajXL58me7duzNixAjmzJmDubk5Bw8eJDQ0lIKCgnILwrm5uWhpaXH8+HGNYiqAoaFhuetZWloqfZv/LiEhgSFDhvDll1/SqVOnMueEhYWxY8cOfvjhB+rWrVupa0xKSiIgIID333+fAQMGlDr+8P2DB/ew5P5ZWlpSvXp13NzcNOa4urqWKkhnZWVhZWVVbh66urqlPjshhBBCCCGEEOJFIwVhIUSVcnBwQFtbm8OHD1OvXj3gwQPezp8/r+zOdHV15f79+xw+fFijZcS5c+eUQl7jxo3Zt29fmX+yX/LAteTkZOrXrw88aBlx9OhRxo0bp8yzsrJi4MCBDBw4kDZt2hAREcHixYs5dOgQ9evXJyoqSpl75coVjTVcXV05fPiwRkHyxx9/LPe63dzc0NXVJSMjQ2MX6uNydXUlOTmZgQMHKmPJycnKfTl+/DjFxcXExsZSrdqDtvFffPGFRgwdHR2l13IJLy8vioqKuH79Om3atKl0Pl5eXqSlpZUa/89//sPgwYNJSEigW7fSfzarVqsZPXo0W7ZsITExEXt7+0qtl5iYSPfu3VmwYEGpndKVoaOjQ4sWLUo9qO/8+fPK90qJs2fPltq9LYQQLxtpXSCEEEIIIaQgLISoUoaGhoSGhhIREYGFhQU1a9YkKipKKV4CODk50bNnT4YOHcrHH3+MkZERU6ZMoU6dOvTs2RN48Of6Hh4ejBw5kuHDh6Ojo8P+/fvp06cPlpaWjBgxgoiICMzNzalXrx4LFy7k7t27hIaGAjB9+nSaNWuGu7s7+fn57NixA1dXV2X9jIwMEhISaNGiBTt37mTLli0a1zF27FhCQkJo3rw5vr6+fP7556SmptKgQYMyr9vIyIjw8HDGjx9PcXExrVu3Jjs7m+TkZIyNjTUKvBWJiIggMDAQLy8vOnXqxNdff83mzZvZu3cvAI6OjhQWFvLBBx8QEBBAcnIyK1eu1IhhZ2dHbm4u+/btw9PTE319fZydnQkODmbAgAHExsbi5eXFjRs32LdvH40bNy6zqAvg5+fH2rVrNcY2bNjAwIEDWbp0Ka1ateLq1avAg13dJiYmwIM2ERs2bGDbtm0YGRkpc0xMTJTd33/vIbx//366d+/O2LFjeeONN5RzdHR0KnxgXVn3MCgoiFdffVXpIfz111+TmJioMe/AgQPMnj270nGFEEIIIYQQQogXkloIIarYn3/+qX777bfV+vr66lq1aqkXLlyobtu2rXrs2LHKnKysLHX//v3VJiYmaj09PbWfn5/6/PnzGnESExPVPj4+al1dXbWpqanaz89Pffv2bbVarVb/9ddf6tGjR6stLS3Vurq6al9fX/WRI0eUc2fPnq12dXVV6+npqc3NzdU9e/ZU//LLL8rxiIgItYWFhdrQ0FAdFBSkfv/999UmJiYa68+ZM0dtaWmpNjQ0VA8cOFA9adIktaenp3J84MCB6p49eyrvi4uL1UuWLFG7uLiotbW11VZWVmo/Pz91UlKSWq1Wq/fv368GlGtQq9Xqn376SQ2of/31V2Xso48+Ujdo0ECtra2tdnZ2Vq9bt04jr/fee09tY2Oj3Ld169aVijt8+HC1hYWFGlDPmDFDrVar1QUFBerp06er7ezs1Nra2mobGxt179691adPny7nk1Srb926pa5Ro4b6559/Vsbatm2rBkq9Bg4cqMwp6zigjouL07h/bdu21Xhf1jl/n/PwPVer1eqxY8dqzFGr1eo1a9aoHR0d1TVq1FB7enqqt27dqnH80KFDalNTU/Xdu3fLvfa/y87OVgPq7OzsSp8jhBBCCCGEEEL8U5X9OVSlVqvVz7MALYQQ4t8tIiKCnJwcPv7446pO5akJCgrC09OTqVOnVvqcyj7dVQghhBBCCCGEeBoq+3NotXKPCCGEEP9AVFQU9evXr/SD7150BQUFeHh4MH78+KpORQghhBBCCCGEeGJSEBb/Su3atdN4WJidnR1LlixR3qtUKrZu3frc8/qnQkJC6NWrl/L+79f3LNZ4UTyLa/0n4uPjMTU1feS85/m99eqrr7Jhw4bnstbjMDU1ZerUqRp9oF8Gffv2JTY2ttS4jo4O06ZNU3oZCyGEEEIIIYQQL7OX66d1If6ho0ePMmzYsKpO46nZvHmzPNzqOQsKCuL8+fPK+5iYGJo0aVJqXmZmJl26dHnm+Wzfvp1r167Rt29fALKyshg9ejQuLi7o6elRr149xowZQ3Z2tsZ5GRkZdOvWDX19fWrWrElERAT379+vcK2YmBgaNmyIgYEBZmZmdOrUicOHDz9WvufOnaN9+/bUqlWLGjVq0KBBA6ZNm0ZhYeHjXfgTuHPnDqNGjcLGxgZdXV2cnZ355ptvlOPTpk1jzpw5pe4ZPLgHf3/InBBCCCGEEEII8TKqXtUJCPE8WFlZVXUKT5W5uXlVp/CvUVBQgI6OziPn6enpVWqHqLW19dNI65GWLVvGoEGDlF24f/zxB3/88QeLFy/Gzc2NK1euMHz4cP744w+++uorAIqKiujWrRvW1tYcOnSIzMxMBgwYgLa2NnPnzi13LWdnZ5YvX06DBg3466+/eP/99+ncuTMXL16s9L8tbW1tBgwYQNOmTTE1NeXUqVMMHTqU4uLiCtd+XOV9ngUFBbz22mvUrFmTr776ijp16nDlyhWNXd+NGjXCwcGB9evXM2rUKAoLC1m2bBljxoxR5ly/fp0tW7bwzjvvPLWchRDPjt2UnVWdwgvn8vxuVZ2CEEIIIYSoYrJDWLz08vLyGDBgAIaGhtjY2JT5J99/bxkBcPPmTXr37o2+vj5OTk5s375d43hSUhItW7ZEV1cXGxsbpkyZorGTsl27dowePZpx48ZhZmZGrVq1WLVqFXl5eQwaNAgjIyMcHR359ttvHytuZZTVEmPu3LkMHjwYIyMj6tWrxyeffKJxzpkzZ+jQoQN6enpYWFgwbNgwcnNzy12juLiYefPmYW9vj56eHp6enkphESAxMRGVSsW+ffto3rw5+vr6+Pj4cO7cOY04K1aswMHBAR0dHVxcXPjss8+UY4MHD6Z79+4a8wsLC6lZsyZr1qwpM6/8/HwmT56Mra0turq6ODo6KnOLiooIDQ1VcnZxcWHp0qUa55e0xpgzZw61a9fGxcWFy5cvo1Kp2Lx5M+3bt0dfXx9PT09SUlKU8x5uGREfH8/MmTM5deoUKpUKlUpFfHw8oNkyojJxAQ4ePEibNm3Q09PD1taWMWPGkJeXV+5nc+PGDb7//nsCAgKUsUaNGrFp0yYCAgJwcHCgQ4cOzJkzh6+//lr5/tq9ezdpaWmsX7+eJk2a0KVLF2bPns2HH35IQUFBueu99dZbdOrUiQYNGuDu7s57771HTk4Op0+frvR1NmjQgEGDBuHp6Un9+vXp0aMHwcHBHDhwoNx1oXL/DsPCwhg3bhyWlpb4+fmVGefTTz8lKyuLrVu34uvri52dHW3btsXT01NjXkBAAAkJCcCDzxKgQ4cOpKamsmXLFgICAqhbt26FOQshhBBCCCGEEC8yKQiLl15ERARJSUls27aN3bt3k5iYyIkTJx553syZMwkMDOT06dN07dqV4OBgsrKyAPj999/p2rUrLVq04NSpU6xYsYI1a9bw7rvvasRYu3YtlpaWHDlyhNGjRzNixAj69OmDj48PJ06coHPnzvTv35+7d+8+Vtx/IjY2lubNm/PTTz8xcuRIRowYoRRn8/Ly8PPzw8zMjKNHj/Lll1+yd+9ewsLCyo03b9481q1bx8qVK0lNTWX8+PG8/fbbJCUlacyLiooiNjaWY8eOUb16dQYPHqwc27JlC2PHjmXixImcPXuWd955h0GDBrF//34AhgwZwq5du8jMzFTO2bFjB3fv3iUoKKjMvAYMGMB//vMfli1bRnp6Oh9//DGGhobAgyJ23bp1+fLLL0lLS2P69OlMnTqVL774QiPGvn37OHfuHHv27GHHjh0a1xIeHs7JkydxdnamX79+ZRbrg4KCmDhxIu7u7mRmZpKZmVluvo+Ke+nSJfz9/XnjjTc4ffo0Gzdu5ODBgxV+NgcPHkRfXx9XV9dy5wDKU0WrV3/wxyApKSl4eHhQq1YtZY6fnx85OTmkpqYC/1fcLa89QkFBAZ988gkmJialiqmVvX8AFy9eZNeuXbRt27bc/B/n36GOjg7JycmsXLmyzFjbt2/H29ubUaNGUatWLRo1asTcuXMpKirSmNeyZUuOHDlCfn4+1atXZ+LEiSxbtoxvvvmG3bt3s3v3brp1k911QgghhBBCCCFeXtIyQrzUcnNzWbNmDevXr6djx47Ag+JQZXbwhYSE0K9fPwDmzp3LsmXLOHLkCP7+/nz00UfY2tqyfPlyVCoVDRs25I8//mDy5MlMnz5d+TN9T09Ppk2bBkBkZCTz58/H0tKSoUOHAjB9+nRWrFjB6dOneeWVVyod95/o2rUrI0eOBGDy5Mm8//777N+/HxcXFzZs2MC9e/dYt24dBgYGACxfvpyAgAAWLFigUSCEB7tw586dy969e/H29gYe7PA8ePAgH3/8sUYRb86cOcr7KVOm0K1bN+7du0eNGjVYvHgxISEhSl4TJkzgxx9/ZPHixbRv3x4fHx9l1/CkSZMAiIuLo0+fPkqR92Hnz5/niy++YM+ePXTq1EnJq4S2tjYzZ85U3tvb25OSksIXX3xBYGCgMm5gYMDq1auV1gKXL18GIDw8XCn2zZw5E3d3dy5evEjDhg018tDT08PQ0JDq1atXqkVERXHnzZtHcHCwsuPbycmJZcuW0bZtW1asWEGNGjVKxbty5Qq1atWq8Pvl5s2bzJ49W6N39tWrV0t91iXvr169Cjy4hy4uLujr62vM27FjB3379uXu3bvY2NiwZ88eLC0tK32dJUp+WZKfn8+wYcOYNWtWuddQ2X8vTk5OLFy4sNw4AL/88gvff/89wcHBfPPNN1y8eJGRI0dSWFjIjBkzlHm1a9emoKCAq1evUrduXZYvX85XX31F165dqV27Nv7+/syYMQN/f/9Sa+Tn55Ofn6+8z8nJqTAnIYQQQgghhBCiKsgOYfFSu3TpEgUFBbRq1UoZMzc3x8XF5ZHnNm7cWPnawMAAY2Njrl+/DkB6ejre3t7Kn4wD+Pr6kpuby3//+98yY2hpaWFhYYGHh4cyVlJsq2zcjIwMDA0Nldfj9FZ9OBeVSoW1tbXGup6enkoxuGTd4uLiUi0e4MHuzbt37/Laa69p5LNu3TouXbpU7ro2NjalrtfX11djvq+vL+np6cr7IUOGEBcXB8C1a9f49ttvNXYZP+zkyZNoaWlVuKv0ww8/pFmzZlhZWWFoaMgnn3xCRkaGxhwPD48y+8xWdC1PoqK4p06dIj4+XuM++/n5UVxczK+//lpmvL/++qvMQnGJnJwcunXrhpubGzExMY+Va506dfj5559p2bKlxnj79u05efIkhw4dwt/fn8DAwFL3pjL3b+PGjZw4cYINGzawc+dOFi9eXG4ulf132KxZs0deV3FxMTVr1uSTTz6hWbNmBAUFERUVVWpHcUmf6Lt371JcXExhYSH79u3D3d2d3r17s3XrVuUXCH83b948TExMlJetre0j8xJCCCGEEEIIIZ432SEs/mdpa2trvFepVBQXFz9xjIfHSgpZlY1bu3ZtTp48qbx/nIfHPY3rKVHSW3jnzp3UqVNH45iurm656z7u9cKDFhBTpkwhJSWFQ4cOYW9vT5s2bcqc+6iHuiUkJBAeHk5sbCze3t4YGRmxaNEiDh8+rDHv4cL407yW8lQUNzc3l3feeUfjwWUl6tWrV2Y8S0tLbt++XeaxP//8E39/f4yMjNiyZYvG2tbW1hw5ckRj/rVr15RjFTEwMMDR0RFHR0deeeUVnJycWLNmDZGRkZW6zhIlRVI3NzeKiooYNmwYEydOREtLq8L1H5Xbo9jY2KCtra2xjqurK1evXtV4EF1J2xgrKyu0tbUJDw/XiFOrVi2GDx9e5hqRkZFMmDBBeZ+TkyNFYSGEEEIIIYQQLxwpCIuXmoODA9ra2hw+fFgpnt2+fZvz589XuIv0UVxdXdm0aRNqtVopbCUnJ2NkZPRED5R6VNxq1arh6Oj4j+NXtG58fDx5eXlK8Sw5OZlq1aqVuZvazc0NXV1dMjIynvg+JicnM3DgQGUsOTkZNzc35b2FhQW9evUiLi6OlJQUBg0aVG48Dw8PiouLSUpKUlpGPCw5ORkfHx+lRQVQakfz06Kjo1Oq/+w/0bRpU9LS0h7rc/fy8uLq1avcvn0bMzMzZTwnJwc/Pz90dXXZvn17qV3E3t7ezJkzh+vXr1OzZk0A9uzZg7GxscZnUhnFxcUa7RH+iZIduMXFxWUWhJ/mv0NfX182bNhAcXGx0mri/Pnz2NjYaOwWP3v2LHXr1i3VDqMyO611dXVL/cJECCGEEEIIIYR40UhBWLzUDA0NCQ0NJSIiAgsLC2rWrElUVNQT9eIFGDlyJEuWLGH06NGEhYVx7tw5ZsyYwYQJE54o9rOK+yjBwcHMmDGDgQMHEhMTw40bNxg9ejT9+/cv1VMWwMjIiPDwcMaPH09xcTGtW7cmOzub5ORkjI2NNQq8FYmIiCAwMBAvLy86derE119/zebNm9m7d6/GvCFDhtC9e3eKiooqjG1nZ8fAgQMZPHgwy5Ytw9PTkytXrnD9+nUCAwNxcnJi3bp1fPfdd9jb2/PZZ59x9OhR7O3tH++GVYKdnR2//vorJ0+epG7duhgZGf2jYuDkyZN55ZVXCAsLY8iQIRgYGJCWlsaePXtYvnx5med4eXlhaWlJcnIy3bt3Bx4Ugzt37szdu3dZv349OTk5Sg9bKysrtLS06Ny5M25ubvTv35+FCxdy9epVpk2bxqhRo5Tcf//9dzp27Mi6deto2bIleXl5zJkzhx49emBjY8PNmzf58MMP+f333+nTp0+lr/Pzzz9HW1sbDw8PdHV1OXbsGJGRkQQFBZXa3V7iaf57GTFiBMuXL2fs2LGMHj2aCxcuMHfu3FI7sw8cOEDnzp0fK7YQ4sV1eb48BFIIIYQQQoi/k4KweOktWrSI3NxcAgICMDIyYuLEiWRnZz9RzDp16vDNN98QERGBp6cn5ubmhIaGKg+Qe9HiPoq+vj7fffcdY8eOpUWLFujr6/PGG2/w3nvvlXvO7NmzsbKyYt68efzyyy+YmprStGlTpk6dWul1e/XqxdKlS1m8eDFjx47F3t6euLg42rVrpzGvU6dO2NjY4O7uTu3atSuMuWLFCqZOncrIkSO5desW9erVU3J65513+OmnnwgKCkKlUtGvXz9GjhzJt99+W+mcK+uNN95g8+bNtG/fnjt37hAXF0dISMhjx2ncuDFJSUlERUXRpk0b1Go1Dg4OBAUFlXuOlpYWgwYN4vPPP1cKwidOnFBaY/x9t/Gvv/6KnZ0dWlpa7NixgxEjRuDt7Y2BgQEDBw7UeLBbYWEh586d4+7du8paP//8M2vXruXmzZtYWFjQokULDhw4gLu7e6Wvs3r16ixYsIDz58+jVqupX78+YWFhjB8/vtxznua/F1tbW7777jvGjx9P48aNqVOnDmPHjmXy5MnKnHv37rF161Z27dr12PGFEEIIIYQQQoiXhUqtVqurOgkhxP+23Nxc6tSpQ1xcHK+//npVp/NSuHr1Ku7u7pw4cYL69etXdTr/CitWrGDLli3s3r37qcTLycnBxMSE7OxsjI2Nn0pMIYQQQgghhBCiPJX9OfTZ/Y26EEI8QnFxMdevX2f27NmYmprSo0ePqk7ppWFtbc2aNWvIyMio6lT+NbS1tfnggw+qOg0hhBBCCCGEEOKZkpYRQogqk5GRgb29PXXr1iU+Pp7q1eU/SY+jV69eVZ3Cv8qQIUOqOgUhhBBCCCGEEOKZkx3CQryk2rVrx7hx45T3dnZ2LFmyRHmvUqnYunXrc8/rcdjZ2aFWq/ntt9/47LPPNAqcf7++pyEkJORfUUR99dVX2bBhQ1Wn8T+joKAAOzs7jh07VtWpCCGEEEIIIYQQT0wKwkL8Sxw9epRhw4ZVdRpPzebNm5k9e3ZVp/FU/L1Y/yS2b9/OtWvX6Nu3LwBZWVmMHj0aFxcX9PT0qFevHmPGjCn1YMWMjAy6deuGvr4+NWvWJCIigvv371e4VkxMDA0bNsTAwAAzMzM6deqkPLiuss6dO0f79u2pVasWNWrUoEGDBkybNo3CwsLHu/BnLD09nR49emBiYoKBgQEtWrRQ2nHo6OgQHh6u8QA6IYQQQgghhBDiZSV/ny3Ev4SVlVVVp/BUmZubV3UKL6Rly5YxaNAgqlV78Pu8P/74gz/++IPFixfj5ubGlStXGD58OH/88QdfffUVAEVFRXTr1g1ra2sOHTpEZmYmAwYMQFtbm7lz55a7lrOzM8uXL6dBgwb89ddfvP/++3Tu3JmLFy9W+vtNW1ubAQMG0LRpU0xNTTl16hRDhw6luLi4wrUfV0FBATo6Ov/o3EuXLtG6dWtCQ0OZOXMmxsbGpKamUqNGDWVOcHAwEydOJDU1FXd396eVthBCPHd2U3Y+1XiX53d7qvGEEEIIIcSzJzuEhXgJ5OXlMWDAAAwNDbGxsSE2NrbUnLJ2od68eZPevXujr6+Pk5MT27dv1zielJREy5Yt0dXVxcbGhilTpmjsGm3Xrh2jR49m3LhxmJmZUatWLVatWkVeXh6DBg3CyMgIR0dHvv3228eKWxlltcSYO3cugwcPxsjIiHr16vHJJ59onHPmzBk6dOiAnp4eFhYWDBs2jNzc3HLXKC4uZt68edjb26Onp4enp6dSRAVITExEpVKxb98+mjdvjr6+Pj4+Ppw7d06Zc+nSJXr27EmtWrUwNDSkRYsW7N27V+M6rly5wvjx41GpVKhUKuXYwYMHadOmDXp6etja2jJmzBjy8vLKzffGEsFExwABAABJREFUjRt8//33BAQEKGONGjVi06ZNBAQE4ODgQIcOHZgzZw5ff/21cs93795NWloa69evp0mTJnTp0oXZs2fz4YcfUlBQUO56b731Fp06daJBgwa4u7vz3nvvkZOTw+nTpwG4fPkyKpWKzZs30759e/T19fH09CQlJUWJ0aBBAwYNGoSnpyf169enR48eBAcHc+DAgXLXhcp9b4aFhTFu3DgsLS3x8/MrM05Jm5DFixdjY2ODhYUFo0aN0tihHBUVRdeuXVm4cCFeXl44ODjQo0cPatasqcwxMzPD19eXhISECvMWQgghhBBCCCFedFIQFuIlEBERQVJSEtu2bWP37t0kJiZy4sSJR543c+ZMAgMDOX36NF27diU4OJisrCwAfv/9d7p27UqLFi04deoUK1asYM2aNbz77rsaMdauXYulpSVHjhxh9OjRjBgxgj59+uDj48OJEyfo3Lkz/fv35+7du48V95+IjY2lefPm/PTTT4wcOZIRI0Yoxdm8vDz8/PwwMzPj6NGjfPnll+zdu5ewsLBy482bN49169axcuVKUlNTGT9+PG+//TZJSUka86KiooiNjeXYsWNUr16dwYMHK8dyc3Pp2rUr+/bt46effsLf35+AgACl3cDmzZupW7cus2bNIjMzk8zMTOBBIdnf35833niD06dPs3HjRg4ePFhhvgcPHkRfXx9XV9cK71N2djbGxsbKQ/pSUlLw8PCgVq1ayhw/Pz9ycnJITU0F/q+4m5iYWGbMgoICPvnkE0xMTPD09Cx1f8LDwzl58iTOzs7069ev3F8AXLx4kV27dtG2bdty83+c700dHR2Sk5NZuXJlufH279/PpUuX2L9/P2vXriU+Pp74+HjgwS8Fdu7cibOzM35+ftSsWZNWrVqV2X+7ZcuWFRay8/PzycnJ0XgJIYQQQgghhBAvGikIC/GCy83NZc2aNSxevJiOHTvi4eHB2rVrK7XjNiQkhH79+uHo6MjcuXPJzc3lyJEjAHz00UfY2tqyfPlyGjZsSK9evZg5cyaxsbEUFxcrMTw9PZk2bRpOTk5ERkZSo0YNLC0tGTp0KE5OTkyfPp1bt24pu0YrG/ef6Nq1KyNHjsTR0ZHJkydjaWnJ/v37AdiwYQP37t1j3bp1NGrUiA4dOrB8+XI+++wzrl27VipWfn4+c+fO5dNPP8XPz48GDRoQEhLC22+/zccff6wxd86cObRt2xY3NzemTJnCoUOHuHfvnnJ/3nnnHRo1aoSTkxOzZ8/GwcFB2Y1tbm6OlpYWRkZGWFtbY21tDTwoRgcHBzNu3DicnJzw8fFh2bJlrFu3Ton9d1euXKFWrVpKu4iy3Lx5k9mzZ2v0k7569apGMRhQ3l+9ehV40NrBxcUFfX19jXk7duzA0NCQGjVq8P7777Nnzx4sLS015oSHh9OtWzecnZ2ZOXMmV65c4eLFixpzfHx8qFGjBk5OTrRp04ZZs2aVew2V/R5ycnJi4cKFuLi44OLiUm48MzMzJVb37t3p1q0b+/btA+D69evk5uYyf/58/P392b17N7179+b1118v9YuB2rVrc+XKlXLXmTdvHiYmJsrL1ta23LlCCCGEEEIIIURVkYKwEC+4S5cuUVBQQKtWrZQxc3PzCgtgJRo3bqx8bWBggLGxMdevXwcePETL29tbo4WBr68vubm5/Pe//y0zhpaWFhYWFnh4eChjJYXFysbNyMjA0NBQeT1OH9mHc1GpVFhbW2us6+npiYGBgca6xcXFGi0eSly8eJG7d+/y2muvaeSzbt06Ll26VO66NjY2Gtebm5tLeHg4rq6umJqaYmhoSHp6urJDuDynTp0iPj5eY20/Pz+Ki4v59ddfyzznr7/+0uhr+3c5OTl069YNNzc3YmJiKlz/7+rUqcPPP/9My5YtNcbbt2/PyZMnOXToEP7+/gQGBirXXqKi+1Ni48aNnDhxgg0bNrBz504WL15cbi6V/d5s1qxZpa7N3d0dLS0tjRxL8ispMPfs2ZPx48fTpEkTpkyZQvfu3UvtOtbT01N2wpclMjKS7Oxs5fXbb79VKj8hhBBCCCGEEOJ5kofKCfEvpq2trfFepVI99i7dsmI8PFZStKts3Nq1a3Py5Enl/eM8PO5pXE+Jkt7CO3fupE6dOhrHdHV1y13379cbHh7Onj17WLx4MY6Ojujp6fHmm29W2Ju3ZP133nmHMWPGlDpWr169Ms+xtLTk9u3bZR77888/8ff3x8jIiC1btmjkbG1trewML1Gya7pkx3J5DAwMcHR0xNHRkVdeeQUnJyfWrFlDZGSkMqcy3w8lu2Xd3NwoKipi2LBhTJw4UaNQ+7geLv5XpKLvG0tLS6pXr46bm5vGHFdXVw4ePKgxlpWVVeHD9HR1dUt97wghhBBCCCGEEC8aKQgL8YJzcHBAW1ubw4cPK4XC27dvc/78+Qr7sD6Kq6srmzZtQq1WK0W85ORkjIyMqFu37jOLW61aNRwdHf9x/IrWjY+PJy8vTykUJicnU61atTJ3U7u5uaGrq0tGRsYT3cfk5GRCQkLo3bs38KDQe/nyZY05Ojo6FBUVaYw1bdqUtLS0x7oXXl5eXL16ldu3b2NmZqaM5+Tk4Ofnh66uLtu3by+1i9jb25s5c+Zw/fp15UFpe/bswdjYuFQh9FGKi4vJz89/rHPKilFYWEhxcXGZBeFn9b1ZFh0dHVq0aFFqF/n58+epX7++xtjZs2fx8vJ6qusLIYQQQgghhBDPmxSEhXjBGRoaEhoaSkREBBYWFtSsWZOoqKgK+8hWxsiRI1myZAmjR48mLCyMc+fOMWPGDCZMmPBEsZ9V3EcJDg5mxowZDBw4kJiYGG7cuMHo0aPp379/qf65AEZGRoSHhzN+/HiKi4tp3bo12dnZJCcnY2xszMCBAyu1rpOTE5s3byYgIACVSkV0dHSp3bF2dnb88MMP9O3bF11dXSwtLZk8eTKvvPIKYWFhDBkyBAMDA9LS0tizZw/Lly8vcy0vLy8sLS1JTk6me/fuwINicOfOnbl79y7r16/XeJiZlZUVWlpadO7cGTc3N/r378/ChQu5evUq06ZNY9SoUcqO1t9//52OHTuybt06WrZsSV5eHnPmzKFHjx7Y2Nhw8+ZNPvzwQ37//Xf69OlT6c/l888/R1tbGw8PD3R1dTl27BiRkZEEBQWV2rlb4nl/D0VERBAUFMSrr75K+/bt2bVrF19//XWpB+wdOHCA2bNnP/X1hRDiebo8v1tVpyCEEEIIIaqYFISFeAksWrSI3NxcAgICMDIyYuLEiWRnZz9RzDp16vDNN98QERGBp6cn5ubmhIaGMm3atBcy7qPo6+vz3XffMXbsWFq0aIG+vj5vvPEG7733XrnnzJ49GysrK+bNm8cvv/yCqakpTZs2ZerUqZVe97333mPw4MH4+Pgohd6SgmyJWbNm8c477+Dg4EB+fj5qtZrGjRuTlJREVFQUbdq0Qa1W4+DgQFBQULlraWlpMWjQID7//HOlIHzixAkOHz4MUGq38a+//oqdnR1aWlrs2LGDESNG4O3tjYGBAQMHDtR4sFthYSHnzp1TeuRqaWnx888/s3btWm7evImFhQUtWrTgwIEDuLu7V/r+VK9enQULFnD+/HnUajX169cnLCyM8ePHl3vO8/4e6t27NytXrmTevHmMGTMGFxcXNm3aROvWrZU5KSkpZGdn8+abbz6THIQQQgghhBBCiOdFpVar1VWdhBBCiMq5evUq7u7unDhxolRLA/HsBAUF4enp+Vi/LMjJycHExITs7GyMjY2fYXZCCCGEEEIIIUTlfw59dn+/LYQQ4qmztrZmzZo1ZGRkVHUq/zMKCgrw8PCocFezEEIIIYQQQgjxspAdwkIIIcQzIDuEhRBCCCGEEEI8T7JDWAjxwmvXrh3jxo1T3tvZ2bFkyRLlvUqlYuvWrc89r38qJCSEXr16Ke//fn3PYo0XUXR0NMOGDavqNJ6atLQ06tatS15eXlWnIoQQQgghhBBCPDEpCAshXhhHjx79VxUSN2/ezOzZs6s6jUd6mkXmq1evsnTpUqKiopSxefPm0aJFC4yMjKhZsya9evXi3LlzGufdu3ePUaNGYWFhgaGhIW+88QbXrl2rcK1Vq1bRpk0bzMzMMDMzo1OnThw5cuQf5b1z505atWqFnp4eZmZmGvfDzc2NV155pcIHFAohhBBCCCGEEC+L6lWdgBBClLCysqrqFJ4qc3Pzqk7huVu9ejU+Pj4aD7xLSkpi1KhRtGjRgvv37zN16lQ6d+5MWloaBgYGAIwfP56dO3fy5ZdfYmJiQlhYGK+//jrJycnlrpWYmEi/fv3w8fGhRo0aLFiwgM6dO5OamkqdOnUqnfOmTZsYOnQoc+fOpUOHDty/f5+zZ89qzBk0aBBDhw4lMjKS6tXlf51CiJeX3ZSdVZ3CS+Hy/G5VnYIQQgghxDMjO4SFEM9FXl4eAwYMwNDQEBsbG2JjY0vN+XvLCICbN2/Su3dv9PX1cXJyYvv27RrHk5KSaNmyJbq6utjY2DBlyhTu37+vHG/Xrh2jR49m3LhxmJmZUatWLVatWkVeXh6DBg3CyMgIR0dHvv3228eKWxlltcSYO3cugwcPxsjIiHr16vHJJ59onHPmzBk6dOiAnp4eFhYWDBs2jNzc3HLXKC4uZt68edjb26Onp4enpydfffWVcryoqIjQ0FDluIuLC0uXLlWOx8TEsHbtWrZt24ZKpUKlUpGYmAjAb7/9RmBgIKamppibm9OzZ08uX75c4TUnJCQQEBCgMbZr1y5CQkJwd3fH09OT+Ph4MjIyOH78OADZ2dmsWbOG9957jw4dOtCsWTPi4uI4dOgQP/74Y7lrff7554wcOZImTZrQsGFDVq9eTXFxMfv27av0Pb9//z5jx45l0aJFDB8+HGdnZ9zc3AgMDNRY67XXXiMrK4ukpKQKr18IIYQQQgghhHjRSUFYCPFcREREkJSUxLZt29i9ezeJiYmcOHHikefNnDmTwMBATp8+TdeuXQkODiYrKwuA33//na5du9KiRQtOnTrFihUrWLNmDe+++65GjLVr12JpacmRI0cYPXo0I0aMoE+fPvj4+HDixAk6d+5M//79uXv37mPF/SdiY2Np3rw5P/30EyNHjmTEiBFK+4S8vDz8/PwwMzPj6NGjfPnll+zdu5ewsLBy482bN49169axcuVKUlNTGT9+PG+//bZSuCwuLqZu3bp8+eWXpKWlMX36dKZOncoXX3wBQHh4OIGBgfj7+5OZmUlmZiY+Pj4UFhbi5+eHkZERBw4cIDk5GUNDQ/z9/SkoKCgzl6ysLNLS0mjevHmF9yA7Oxv4vx3Ux48fp7CwkE6dOilzGjZsSL169UhJSVHG7OzsiImJKTfu3bt3KSwsLLUzu6J7fuLECX7//XeqVauGl5cXNjY2dOnSpdQOYR0dHZo0acKBAwfKXT8/P5+cnByNlxBCCCGEEEII8aKRgrAQ4pnLzc1lzZo1LF68mI4dO+Lh4cHatWsrteM2JCSEfv364ejoyNy5c8nNzVX6xH700UfY2tqyfPlyGjZsSK9evZg5cyaxsbEUFxcrMTw9PZk2bRpOTk5ERkZSo0YNLC0tGTp0KE5OTkyfPp1bt25x+vTpx4r7T3Tt2pWRI0fi6OjI5MmTsbS0ZP/+/QBs2LCBe/fusW7dOho1akSHDh1Yvnw5n332WZn9dPPz85k7dy6ffvopfn5+NGjQgJCQEN5++20+/vhjALS1tZk5cybNmzfH3t6e4OBgBg0apBSEDQ0N0dPTQ1dXF2tra6ytrdHR0WHjxo0UFxezevVqPDw8cHV1JS4ujoyMDGUH8d9lZGSgVqupXbt2uddfXFzMuHHj8PX1pVGjRsCDvsM6OjqYmppqzK1VqxZXr15V3js4OGBpaVlu7MmTJ1O7dm2NwvKj7vkvv/wCPNgpPW3aNHbs2IGZmRnt2rVTfvFQonbt2ly5cqXc9efNm4eJiYnysrW1LXeuEEIIIYQQQghRVaQRohDimbt06RIFBQW0atVKGTM3N8fFxeWR5zZu3Fj52sDAAGNjY65fvw5Aeno63t7eqFQqZY6vry+5ubn897//pV69eqViaGlpYWFhgYeHhzJWq1YtgErHhQcPGisxdepUpk6dWok7oZmLSqXC2tpaY11PT0+lr27JusXFxZw7d07Js8TFixe5e/cur732msZ4QUEBXl5eyvsPP/yQTz/9lIyMDP766y8KCgpo0qRJhXmeOnWKixcvYmRkpDF+7949Ll26VOY5f/31FwA1atQoN+6oUaM4e/YsBw8erHD9sjzcCuLv5s+fT0JCAomJiaXWr+ielxT4o6KieOONNwCIi4tTdlW/8847yrl6enrKLvKyREZGMmHCBOV9Tk6OFIWFEEIIIYQQQrxwpCAshHihaWtra7xXqVSPvUu3rBgPj5UUfisbt3bt2pw8eVJ5/zgPj3sa11OipLfwzp07Sz1ETVdXF3jQ0zc8PJzY2Fi8vb0xMjJi0aJFHD58+JGxmzVrxueff17qWHkP/yvZvXv79u0y54SFhbFjxw5++OEH6tatq4xbW1tTUFDAnTt3NHYJX7t2DWtr6wrzBFi8eDHz589n7969GsXfEhXdcxsbG0CzwK+rq0uDBg3IyMjQOC8rKwsHB4dy89DV1VXuuxBCCCGEEEII8aKSlhFCiGfOwcEBbW1tjSLk7du3OX/+/BPFdXV1JSUlBbVarYwlJydjZGSkUXB82nGrV6+Oo6Oj8nqcgvCj1j116hR5eXka61arVq3M3dRubm7o6uqSkZGhkY+jo6OyMzU5ORkfHx9GjhyJl5cXjo6OpXb46ujoUFRUpDHWtGlTLly4QM2aNUvFNjExKTN/BwcHjI2NSUtL0xhXq9WEhYWxZcsWvv/+e+zt7TWON2vWDG1tbY0dwOfOnSMjIwNvb+8K79nChQuZPXs2u3btemTv4rI0a9YMXV1dpacwQGFhIZcvX6Z+/foac8+ePaux81oIIYQQQgghhHgZyQ5hIcQzZ2hoSGhoKBEREVhYWFCzZk2ioqKoVu3Jfic1cuRIlixZwujRowkLC+PcuXPMmDGDCRMmPFHsZxX3UYKDg5kxYwYDBw4kJiaGGzduMHr0aPr371+qXQSAkZER4eHhjB8/nuLiYlq3bk12djbJyckYGxszcOBAnJycWLduHd999x329vZ89tlnHD16VKMoa2dnx3fffce5c+ewsLDAxMSE4OBgFi1aRM+ePZk1axZ169blypUrbN68mUmTJpVZcK9WrRqdOnXi4MGD9OrVSxkfNWoUGzZsYNu2bRgZGSl9gU1MTNDT08PExITQ0FAmTJiAubk5xsbGjB49Gm9vb1555RUlTseOHendu7fykL0FCxYwffp0NmzYgJ2dnRLX0NAQQ0PDSt1zY2Njhg8fzowZM7C1taV+/fosWrQIgD59+ijzLl++zO+//16qP7EQQrxsLs/vVtUpCCGEEEKIKiY7hIUQz8WiRYto06YNAQEBdOrUidatW9OsWbMnilmnTh2++eYbjhw5gqenJ8OHDyc0NJRp06a9kHEfRV9fn++++46srCxatGjBm2++SceOHVm+fHm558yePZvo6GjmzZuHq6sr/v7+7Ny5Uyn4vvPOO7z++usEBQXRqlUrbt26xciRIzViDB06FBcXF5o3b46VlRXJycno6+vzww8/UK9ePV5//XVcXV0JDQ3l3r17GBsbl5vPkCFDSEhI0GiDsWLFCrKzs2nXrh02NjbKa+PGjcqc999/n+7du/PGG2/w6quvYm1tzebNmzViX7p0iZs3b2rELSgo4M0339SIu3jx4srd8P9v0aJF9O3bl/79+9OiRQuuXLnC999/j5mZmTLnP//5D507dy61a1gIIYQQQgghhHjZqNQP/020EEII8QTUajWtWrVi/Pjx9OvXr6rTeSoKCgpwcnJiw4YN+Pr6Vvq8nJwcTExMyM7OrrCILoQQQgghhBBCPA2V/TlUdggLIYR4alQqFZ988gn379+v6lSemoyMDKZOnfpYxWAhhBBCCCGEEOJFJTuEhRBCiGdAdggLIYQQQgghhHieZIewEEL8i7Vr145x48ZVdRpVLjExEZVKxZ07dyqcZ2dnx5IlS55LTkIIIYQQQgghxItMCsJCCCFeWj4+PmRmZmJiYgJAfHw8pqampeYdPXqUYcOGPefshBBCCCGEEEKIF0/1qk5ACCGE+LuCggJ0dHQeOU9HRwdra+tHzrOysnoaaQkhxEvPbsrOqk4BgMvzu1V1CkIIIYQQ/7Nkh7AQQrzg8vLyGDBgAIaGhtjY2BAbG6txPD8/n/DwcOrUqYOBgQGtWrUiMTFRY86mTZtwd3dHV1cXOzs7jRizZs2idu3a3Lp1Sxnr1q0b7du3p7i4mMGDB9O9e3eNeIWFhdSsWZM1a9YAUFxczMKFC3F0dERXV5d69eoxZ84cZf7kyZNxdnZGX1+fBg0aEB0dTWFhoXI8JiaGJk2asHr1auzt7alRowbw4CF1q1evpnfv3ujr6+Pk5MT27duV8x5uGZGYmMigQYPIzs5GpVKhUqmIiYkBSreMeFRcgLNnz9KlSxcMDQ2pVasW/fv35+bNm4/6uIQQQgghhBBCiBeaFISFEOIFFxERQVJSEtu2bWP37t0kJiZy4sQJ5XhYWBgpKSkkJCRw+vRp+vTpg7+/PxcuXADg+PHjBAYG0rdvX86cOUNMTAzR0dHEx8cDEBUVhZ2dHUOGDAHgww8/5NChQ6xdu5Zq1aoxZMgQdu3aRWZmprLmjh07uHv3LkFBQQBERkYyf/58oqOjSUtLY8OGDdSqVUuZb2RkRHx8PGlpaSxdupRVq1bx/vvva1znxYsX2bRpE5s3b+bkyZPK+MyZMwkMDOT06dN07dqV4OBgsrKySt0nHx8flixZgrGxMZmZmWRmZhIeHl7ufa0o7p07d+jQoQNeXl4cO3aMXbt2ce3aNQIDA8uNl5+fT05OjsZLCCGEEEIIIYR40ajUarW6qpMQQghRttzcXCwsLFi/fj19+vQBICsri7p16zJs2DAmTJhAgwYNyMjIoHbt2sp5nTp1omXLlsydO5fg4GBu3LjB7t27leOTJk1i586dpKamAvDLL7/QpEkTRo4cybJly1i9ejVvvfWWMt/d3Z2BAwcyadIkAHr06IGFhQVxcXH8+eefWFlZsXz5cqWo/CiLFy8mISGBY8eOAQ92CM+dO5fff/9do72DSqVi2rRpzJ49G3iwW9rQ0JBvv/0Wf39/EhMTad++Pbdv38bU1JT4+HjGjRtX6iFzdnZ2jBs3TnkQ36Pivvvuuxw4cIDvvvtOifHf//4XW1tbzp07h7Ozc6lriomJYebMmaXGH/V0VyGEeJ6kZYQQQgghxL9XTk4OJiYmj/w5VHYICyHEC+zSpUsUFBTQqlUrZczc3BwXFxcAzpw5Q1FREc7OzhgaGiqvpKQkLl26BEB6ejq+vr4acX19fblw4QJFRUUANGjQgMWLF7NgwQJ69OihUQwGGDJkCHFxcQBcu3aNb7/9lsGDByvx8/Pz6dixY7nXsXHjRnx9fbG2tsbQ0JBp06aRkZGhMad+/fpl9vpt3Lix8rWBgQHGxsZcv3694htXCRXFPXXqFPv379e4pw0bNgRQ7uvfRUZGkp2drbx+++23J85RCCGEEEIIIYR42uShckII8RLLzc1FS0uL48ePo6WlpXHM0NDwsWL98MMPaGlpcfnyZe7fv0/16v/3v4gBAwYwZcoUUlJSOHToEPb29rRp0wYAPT29CuOmpKQQHBzMzJkz8fPzw8TEhISEhFK9kA0MDMo8X1tbW+O9SqWiuLj4sa7tcePm5uYSEBDAggULSp1nY2NTZjxdXV10dXWfOC8hhBBCCCGEEOJZkh3CQgjxAnNwcEBbW5vDhw8rY7dv3+b8+fMAeHl5UVRUxPXr13F0dNR4WVtbA+Dq6kpycrJG3OTkZJydnZUi8saNG9m8eTOJiYlkZGQorRRKWFhY0KtXL+Li4oiPj2fQoEHKMScnJ/T09Ni3b1+Z13Do0CHq169PVFQUzZs3x8nJiStXrjz5zSmDjo6Osuv5STRt2pTU1FTs7OxK3dfyCtdCCCGEEEIIIcTLQHYICyHEC8zQ0JDQ0FAiIiKwsLCgZs2aREVFUa3ag9/nOTs7ExwczIABA4iNjcXLy4sbN26wb98+GjduTLdu3Zg4cSItWrRg9uzZBAUFkZKSwvLly/noo4+AB71xR4wYwYIFC2jdujVxcXF0796dLl268Morryi5DBkyhO7du1NUVMTAgQOV8Ro1ajB58mQmTZqEjo4Ovr6+3Lhxg9TUVEJDQ3FyciIjI4OEhARatGjBzp072bJlyzO5X3Z2duTm5rJv3z48PT3R19dHX1//seOMGjWKVatW0a9fPyZNmoS5uTkXL14kISGB1atXl9qNLYQQLwvp3SuEEEIIIWSHsBBCvOAWLVpEmzZtCAgIoFOnTrRu3ZpmzZopx+Pi4hgwYAATJ07ExcWFXr16cfToUerVqwc82O36xRdfkJCQQKNGjZg+fTqzZs0iJCQEtVpNSEgILVu2JCwsDAA/Pz9GjBjB22+/TW5urrJOp06dsLGxwc/PT+MBdgDR0dFMnDiR6dOn4+rqSlBQkNKPt0ePHowfP56wsDCaNGnCoUOHiI6Ofib3ysfHh+HDhxMUFISVlRULFy78R3Fq165NcnIyRUVFdO7cGQ8PD8aNG4epqalSjBdCCCGEEEIIIV5GKrVara7qJIQQQrz4cnNzqVOnDnFxcbz++utVnc4Lr7JPdxVCCCGEEEIIIZ6Gyv4cKi0jhBBCVKi4uJibN28SGxuLqakpPXr0qOqUhBBCCCGEEEII8Q9JQVgIIUSFMjIysLe3p27dusTHx1O9uvyvQwghhBBCCCGEeFlJI0Txr9KuXTvGjRtX6fnx8fGYmpo+9TyeVtyYmBiaNGnyxHGetZCQEHr16lXVafzrXb58GZVKxcmTJ5Wx5ORkPDw80NbWfmafgZ2dHWq1mt9++42OHTuWOh4dHc2wYcOeydovgoKCAuzs7Dh27FhVpyKEEEIIIYQQQjwxKQgL8QILDw9n3759VZ3GC0GKzmWbMGECTZo04ddffyU+Pr5S5zzNe3n16lWWLl1KVFSURnyVSoVKpUJbW5tatWrx2muv8emnn1JcXKxxvp2dHUuWLCkV9++/DImJiVFiPvxq2LBhqXP/85//oKWlxahRoyp1DTdu3GDEiBHUq1cPXV1drK2t8fPzIzk5GQAdHR3Cw8OZPHlypeIJIYQQQgghhBAvMvm7XyGqQEFBATo6Oo+cZ2hoiKGh4XPI6Nmq7PU+Dy9SLk/DpUuXGD58OHXr1q2S9VevXo2Pjw/169fXGPf39ycuLo6ioiKuXbvGrl27GDt2LF999RXbt2//R20n3N3d2bt3r8ZYWXHWrFnDpEmT+Pjjj4mNjaVGjRoVxn3jjTcoKChg7dq1NGjQgGvXrrFv3z5u3bqlzAkODmbixImkpqbi7u7+2LkLIcSLwm7KzqpO4aVzeX63qk5BCCGEEOKpkh3C4qWVl5fHgAEDMDQ0xMbGhtjY2FJz8vPzCQ8Pp06dOhgYGNCqVSsSExNLzfvuu+9wdXXF0NAQf39/MjMzAfjhhx/Q1tbm6tWrGvPHjRtHmzZtlPfx8fHUq1cPfX19evfurVFIgv/b7bh69Wrs7e2VAlVGRgY9e/bE0NAQY2NjAgMDuXbtWqnzSiQmJtKyZUsMDAwwNTXF19eXK1euKMdXrFiBg4MDOjo6uLi48Nlnn2nk8d577+Hh4YGBgQG2traMHDmS3NxcjeswNTUt934AFBUVMWHCBExNTbGwsGDSpEmo1WqNddq1a0dYWBjjxo3D0tISPz8/AJKSkmjZsiW6urrY2NgwZcoU7t+/r5z31Vdf4eHhgZ6eHhYWFnTq1Im8vDxiYmJYu3Yt27ZtU3aGlnyOv/32G4GBgZiammJubk7Pnj25fPmyErNkN+ycOXOoXbs2Li4uAJw5c4YOHTooaw0bNkzjXpSct3jxYmxsbLCwsGDUqFEUFhYqcyr7/VVCrVYTExOj7EStXbs2Y8aMUY6rVCq2bt2qcY6pqWmZO39L2kfcunWLwYMHo1KpiI+Pp6ioiNDQUOzt7dHT08PFxYWlS5cq5z3JvSxLQkICAQEBpcZLdtrWqVOHpk2bMnXqVLZt28a3335b6Z3Mf1e9enWsra01XpaWlhpzfv31Vw4dOsSUKVNwdnZm8+bNFca8c+cOBw4cYMGCBbRv35769evTsmVLIiMjNR6eZ2Zmhq+vLwkJCf8odyGEEEIIIYQQ4kUhBWHx0oqIiCApKYlt27axe/duEhMTOXHihMacsLAwUlJSSEhI4PTp0/Tp0wd/f38uXLigzLl79y6LFy/ms88+44cffiAjI4Pw8HAAXn31VRo0aKBRWC0sLOTzzz9n8ODBABw+fJjQ0FDCwsI4efIk7du359133y2V78WLF9m0aRObN2/m5MmTFBcX07NnT7KyskhKSmLPnj388ssvBAUFlXm99+/fp1evXrRt25bTp0+TkpLCsGHDUKlUAGzZsoWxY8cyceJEzp49yzvvvMOgQYPYv3+/EqNatWosW7aM1NRU1q5dy/fff8+kSZM01qnofgDExsYSHx/Pp59+ysGDB8nKymLLli2l8l27di06OjokJyezcuVKfv/9d7p27UqLFi04deoUK1asYM2aNcq9yszMpF+/fgwePJj09HQSExN5/fXXUavVhIeHExgYqBSnMzMz8fHxobCwED8/P4yMjDhw4ADJyclKEbugoEDJZd++fZw7d449e/awY8cO8vLy8PPzw8zMjKNHj/Lll1+yd+9ewsLCNK5h//79XLp0if3797N27Vri4+M1ipmV+f562KZNm3j//ff5+OOPuXDhAlu3bsXDw6PMuY9ia2tLZmYmxsbGLFmyhMzMTIKCgiguLqZu3bp8+eWXpKWlMX36dKZOncoXX3wB8MT38mFZWVmkpaXRvHnzSuXcoUMHPD09H1mkfRJxcXF069YNExMT3n77bdasWVPh/JJd+Fu3biU/P7/CuS1btuTAgQPlHs/PzycnJ0fjJYQQQgghhBBCvGikZYR4KeXm5rJmzRrWr1+vPORq7dq1Gn82n5GRQVxcHBkZGdSuXRt4UAzbtWsXcXFxzJ07F3hQ4F25ciUODg7AgyLfrFmzlDihoaHExcUREREBwNdff829e/cIDAwEYOnSpfj7+yuFVWdnZw4dOsSuXbs0ci4oKGDdunVYWVkBsGfPHs6cOcOvv/6Kra0tAOvWrcPd3Z2jR4/SokULjfNzcnLIzs6me/fuSq6urq7K8cWLFxMSEsLIkSOBB71lf/zxRxYvXkz79u0BNB64Z2dnx7vvvsvw4cP56KOPlPFH3Y8lS5YQGRnJ66+/DsDKlSv57rvvSn1GTk5OLFy4UHkfFRWFra0ty5cvV3q//vHHH0yePJnp06eTmZnJ/fv3ef3115X2Aw8XS/X09MjPz8fa2loZW79+PcXFxaxevVopjMfFxWFqakpiYiKdO3cGwMDAgNWrVyutIlatWsW9e/dYt24dBgYGACxfvpyAgAAWLFhArVq1gAe7QpcvX46WlhYNGzakW7du7Nu3j6FDh1b6++thGRkZWFtb06lTJ7S1talXrx4tW7YsNa8ytLS0sLa2RqVSYWJionFfZs6cqXxtb29PSkoKX3zxBYGBgRgaGj7Rvfz79ajVauX6K6Nhw4acPn1aY2zy5MlMmzZNY6ygoAA3NzeNsTNnzpRqofL222+zcuVKAIqLi4mPj+eDDz4AoG/fvkycOJFff/0Ve3v7MvOpXr068fHxDB06lJUrV9K0aVPatm1L3759ady4scbc2rVra+zI/7t58+Zp3HshhBBCCCGEEOJFJDuExUvp0qVLFBQU0KpVK2XM3NxcaQcAD4pHRUVFODs7K7sADQ0NSUpK4tKlS8o8fX19pfgJYGNjw/Xr15X3ISEhXLx4kR9//BF40FYhMDBQKSSmp6dr5AHg7e1dKuf69esrxeCS82xtbZViMICbmxumpqakp6eXOt/c3JyQkBD8/PwICAhg6dKlGq0c0tPT8fX11TjH19dXI9bevXvp2LEjderUwcjIiP79+3Pr1i3u3r1bqfuRnZ1NZmamxvVWr169zB2izZo103ifnp6Ot7e3UmwsyS83N5f//ve/eHp60rFjRzw8POjTpw+rVq3i9u3bpeI+7NSpU1y8eBEjIyPl8zU3N+fevXsan7GHh4dG3+D09HQ8PT2Vz7Akl+LiYs6dO6eMubu7o6WlVea9qOz318P69OnDX3/9RYMGDRg6dChbtmzRaJnxtHz44Yc0a9YMKysrDA0N+eSTT8jIyKjwnMrey4f99ddfAI/s0fswtVqt8T0AD3b7nzx5UuM1fPjwUue6uLiUmvfwLyv27NlDXl4eXbt2BcDS0lJ5mB3AgQMHND6rzz//HHjQQ/iPP/5g+/bt+Pv7k5iYSNOmTUu1ttDT09P4t/J3kZGRZGdnK6/ffvut0vdFCCGEEEIIIYR4XmSHsPjXys3NRUtLi+PHj2sU9QCNXYba2toax1QqlUZP3Jo1axIQEEBcXBz29vZ8++23FfaJLc/Dxcd/Ki4ujjFjxrBr1y42btzItGnT2LNnD6+88sojz718+TLdu3dnxIgRzJkzB3Nzcw4ePEhoaCgFBQXo6+sDj74flfW416ulpcWePXs4dOgQu3fv5oMPPiAqKorDhw+Xu7szNzeXZs2aKYW9hz1cfP+n976se1FcXKysXZnvr4fZ2tpy7tw59u7dy549exg5ciSLFi0iKSkJbW3tMu/1wz2LKyMhIYHw8HBiY2Px9vbGyMiIRYsWcfjw4QrPq+y9fFhJ/97bt2+XO+fv0tPTS32elpaWODo6aoyZm5uXOldHR6fUvIetWbOGrKws9PT0lLHi4mJOnz7NzJkzad68OSdPnlSOlewEhwdF7ddee43XXnuN6OhohgwZwowZMwgJCVHmZGVlVXidurq66OrqlntcCCGEEEIIIYR4EUhBWLyUHBwc0NbW5vDhw9SrVw94UJQ6f/48bdu2BcDLy4uioiKuX7+u8QC4f2LIkCH069ePunXr4uDgoLET19XVtVSxrWQ3cUVcXV357bff+O2335Rdwmlpady5c6fUn8o/zMvLCy8vLyIjI/H29mbDhg288soruLq6kpyczMCBA5W5ycnJSqzjx49TXFxMbGws1ao9+OOAkr6ylWViYoKNjQ2HDx/m1VdfBR70Nj5+/DhNmzZ95PVu2rRJY4docnIyRkZGSqsPlUqFr68vvr6+TJ8+nfr167NlyxYmTJiAjo4ORUVFGjGbNm3Kxo0bqVmzJsbGxpW+DldXV+Lj48nLy1OKxcnJyVSrVk1jl3lF/un3l56eHgEBAQQEBDBq1CgaNmzImTNnaNq0KVZWVhq7vi9cuFDhjtSyJCcn4+Pjo7QOAUrt8H1a99LBwQFjY2PS0tJwdnZ+5Pzvv/+eM2fOMH78+ErFfxy3bt1i27ZtJCQk4O7urowXFRXRunVrdu/ejb+/f4UF5Ye5ubmVesDf2bNn8fLyepppCyHEc3d5freqTkEIIYQQQlQxaRkhXkqGhoaEhoYSERHB999/z9mzZwkJCVEKnfCgl29wcDADBgxg8+bN/Prrrxw5coR58+axc+fOx1rPz88PY2Nj3n33XQYNGqRxrGTH7uLFi7lw4QLLly8v1T+4LJ06dcLDw4Pg4GBOnDjBkSNHGDBgAG3bti2zBcOvv/5KZGQkKSkpXLlyhd27d3PhwgWlj3BERATx8fGsWLGCCxcu8N5777F582blgXCOjo4UFhbywQcf8Msvv/DZZ58pvVcfx9ixY5k/fz5bt27l559/ZuTIkdy5c+eR540cOZLffvuN0aNH8/PPP7Nt2zZmzJjBhAkTqFatGocPH2bu3LkcO3aMjIwMNm/ezI0bN5Trs7Oz4/Tp05w7d46bN29SWFhIcHAwlpaW9OzZkwMHDvDrr7+SmJjImDFj+O9//1tuLsHBwdSoUYOBAwdy9uxZ9u/fz+jRo+nfv7/GrtGK/JPvr/j4eNasWcPZs2f55ZdfWL9+PXp6ekrP5A4dOrB8+XJ++uknjh07xvDhw0vtUn4UJycnjh07xnfffcf58+eJjo7m6NGjGnOe1r2sVq0anTp14uDBg6WO5efnc/XqVX7//XdOnDjB3Llz6dmzJ927d2fAgAGPdU0l7t+/z9WrVzVe165dA+Czzz7DwsKCwMBAGjVqpLw8PT3p2rVruQ+Xu3XrFh06dGD9+vWcPn2aX3/9lS+//JKFCxfSs2dPjbkHDhwos5eyEEIIIYQQQgjxMpGCsHhpLVq0iDZt2hAQEECnTp1o3bp1qb61cXFxDBgwgIkTJ+Li4kKvXr04evSosqu4sqpVq0ZISAhFRUWlilmvvPIKq1atYunSpXh6erJ79+5SD8gqi0qlYtu2bZiZmfHqq6/SqVMnGjRowMaNG8ucr6+vz88//8wbb7yBs7Mzw4YNY9SoUbzzzjsA9OrVi6VLl7J48WLc3d35+OOPiYuLo127dgB4enry3nvvsWDBAho1asTnn3/OvHnzHus+AEycOJH+/fszcOBApSVB7969H3lenTp1+Oabbzhy5Aienp4MHz6c0NBQ5V4ZGxvzww8/0LVrV5ydnZk2bRqxsbF06dIFgKFDh+Li4kLz5s2xsrIiOTkZfX19fvjhB+rVq8frr7+Oq6sroaGh3Lt3r8Jdrvr6+nz33XdkZWXRokUL3nzzTTp27Mjy5csf61487veXqakpq1atwtfXl8aNG7N3716+/vprLCwsAIiNjcXW1pY2bdrw1ltvER4errTyqKx33nmH119/naCgIFq1asWtW7c0dgvD072XQ4YMISEhQWmlUWLXrl3Y2NhgZ2eHv78/+/fvZ9myZWzbtq1Ui43KSk1NxcbGRuNVUkz/9NNP6d27d6n+xPCgR/D27du5efNmqWOGhoa0atWK999/n1dffZVGjRoRHR3N0KFDNb4fUlJSyM7O5s033/xHuQshhBBCCCGEEC8KlfqfNAcV4n9QaGgoN27cYPv27VWdihAvDLVaTatWrRg/fjz9+vWr6nSemaCgIDw9PZk6dWqlz8nJycHExITs7OzHamkihBBCCCGEEEL8E5X9OVR6CAvxCNnZ2Zw5c4YNGzZIMViIv1GpVHzyySecOXOmqlN5ZgoKCvDw8HgmvY+FEEIIIYQQQojnTVpGCPEIPXv2pHPnzgwfPpzXXnutqtMRQLt27Rg3blxVp/HUhYSE0KtXr6pOg8TERFQq1SN7Q9vZ2bFkyRKaNGlC//79n2lO/fv3Z+7cuc90jfJ8+umnHD58GD09vSpZXwghhBBCCCGEeJqkICzEIyQmJnL37l3ef//9qk5FiOfCx8eHzMxMTExMgAcPwzM1NS017+jRowwbNuyZ53Pq1Cm++eYbxowZozF+8eJFBg0aRN26ddHV1cXe3p5+/fpx7NgxZc6cOXPw8fFBX1+/zGsAyMjIoFu3bujr61OzZk0iIiK4f/++cnzw4MGcOHGCAwcOPJPrE0IIIYQQQgghnidpGSGEEP8jCgoK0NHReeQ8HR0drK2tHznPysrqaaT1SB988AF9+vTB0NBQGTt27BgdO3akUaNGfPzxxzRs2JA///yTbdu2MXHiRJKSkoAH19ynTx+8vb1Zs2ZNqdhFRUV069YNa2trDh06RGZmJgMGDEBbW1vZkayjo8Nbb73FsmXLaNOmzXO5ZiGEeFbspuys6hReCpfnd6vqFIQQQgghnhnZISyEeKHl5eUxYMAADA0NsbGxITY2ttSc/Px8wsPDqVOnDgYGBrRq1YrExESNOcnJybRr1w59fX3MzMzw8/Pj9u3bAOzatYvWrVtjamqKhYUF3bt359KlS8q5ly9fRqVSsXnzZtq3b4++vj6enp6kpKRorLFp0ybc3d3R1dXFzs5OI9dZs2bRqFGjUrk3adKE6OjoMq+9uLiYhQsX4ujoiK6uLvXq1WPOnDnK8cmTJ+Ps7Iy+vj4NGjQgOjqawsJC5XhMTAxNmjRh9erV2NvbU6NGDeBB39/Vq1fTu3dv9PX1cXJy0uiP/XDLiMTERAYNGkR2djYqlQqVSkVMTAzwfy0jSjwqLsDZs2fp0qULhoaG1KpVi/79+3Pz5s0yrx8eFGy/+uorAgIClDG1Wk1ISAhOTk4cOHCAbt264eDgQJMmTZgxYwbbtm1T5s6cOZPx48fj4eFRZvzdu3eTlpbG+vXradKkCV26dGH27Nl8+OGHFBQUKPMCAgLYvn07f/31V7m5CiGEEEIIIYQQLwMpCAshXmgREREkJSWxbds2du/eTWJiIidOnNCYExYWRkpKCgkJCZw+fZo+ffrg7+/PhQsXADh58iQdO3bEzc2NlJQUDh48SEBAAEVFRcCDovOECRM4duwY+/bto1q1avTu3Zvi4mKNdaKioggPD+fkyZM4OzvTr18/pbXA8ePHCQwMpG/fvpw5c4aYmBiio6OJj48HHrQdSE9P5+jRo0q8n376idOnTzNo0KAyrz0yMpL58+cTHR1NWloaGzZsoFatWspxIyMj4uPjSUtLY+nSpaxatapUa5OLFy+yadMmNm/ezMmTJ5XxmTNnEhgYyOnTp+natSvBwcFkZWWVysHHx4clS5ZgbGxMZmYmmZmZhIeHl/t5VRT3zp07dOjQAS8vL44dO8auXbu4du0agYGB5cY7ffo02dnZNG/eXBk7efIkqampTJw4kWrVSv9vrLzWEGVJSUnBw8ND4776+fmRk5NDamqqMta8eXPu37/P4cOHKx1bCCGEEEIIIYR4EUnLCCHECys3N5c1a9awfv16OnbsCMDatWupW7euMicjI4O4uDgyMjKoXbs2AOHh4ezatYu4uDjmzp3LwoULad68OR999JFynru7u/L1G2+8obHup59+ipWVFWlpaRq7esPDw+nW7cGfkM6cORN3d3cuXrxIw4YNee+99+jYsaOy29fZ2Zm0tDQWLVpESEgIdevWxc/Pj7i4OFq0aAFAXFwcbdu2pUGDBqWu/c8//2Tp0qUsX76cgQMHAuDg4EDr1q2VOdOmTVO+trOzIzw8nISEBCZNmqSMFxQUsG7dulLtHUJCQujXrx8Ac+fOZdmyZRw5cgR/f3+NeTo6OpiYmKBSqSrVRqKiuMuXL8fLy0vj4XCffvoptra2nD9/Hmdn51Lxrly5gpaWFjVr1lTGSgr9DRs2fGQ+j3L16lWNYjCgvL969aoypq+vj4mJCVeuXCk3Vn5+Pvn5+cr7nJycJ85PCCGEEEIIIYR42mSHsBDihXXp0iUKCgpo1aqVMmZubo6Li4vy/syZMxQVFeHs7IyhoaHySkpKUto+lOwQLs+FCxfo168fDRo0wNjYGDs7O+BBsflhjRs3Vr62sbEB4Pr16wCkp6fj6+urMd/X15cLFy4oO5GHDh3Kf/7zH+7du0dBQQEbNmxg8ODBZeaUnp5Ofn5+hXlv3LgRX19frK2tMTQ0ZNq0aaVyrl+/fpm9fh++FgMDA4yNjZVreRIVxT116hT79+/X+JxKiroPt+h42F9//YWuri4qlUoZU6vVT5znP6Gnp8fdu3fLPT5v3jxMTEyUl62t7XPMTgghhBBCCCGEqBzZISyEeKnl5uaipaXF8ePH0dLS0jhW8hAyPT29CmMEBARQv359Vq1aRe3atSkuLqZRo0YaPWQBtLW1la9LCpR/byvxqHV0dXXZsmULOjo6FBYW8uabb5Y591E5p6SkEBwczMyZM/Hz88PExISEhIRSPZYNDAzKPP/ha4EH1/M411KeiuLm5uYSEBDAggULSp1XUmD/O0tLS+7evavxQLySncQ///wzXl5eT5SvtbU1R44c0Ri7du2acuxhWVlZFT5ILzIykgkTJijvc3JypCgshBBCCCGEEOKFIzuEhRAvLAcHB7S1tTX6tt6+fZvz588r7728vCgqKuL69es4OjpqvEoKeo0bN2bfvn1lrnHr1i3OnTvHtGnT6NixI66ursrD5h6Hq6srycnJGmPJyck4Ozsrherq1aszcOBA4uLiiIuLo2/fvuUWfp2cnNDT0ys370OHDlG/fn2ioqJo3rw5Tk5OFbYzeBI6OjrKLucn0bRpU1JTU7Gzsyv1WZVXuG7SpAkAaWlpGmNubm7ExsaWWcS+c+dOpXPy9vbmzJkzGruj9+zZg7GxMW5ubsrYpUuXuHfvXoUFaF1dXYyNjTVeQgghhBBCCCHEi0Z2CAshXliGhoaEhoYSERGBhYUFNWvWJCoqSuNBYs7OzgQHBzNgwABiY2Px8vLixo0b7Nu3j8aNG9OtWzciIyPx8PBg5MiRDB8+HB0dHfbv30+fPn0wNzfHwsKCTz75BBsbGzIyMpgyZcpj5zpx4kRatGjB7NmzCQoKIiUlheXLl2v0LQYYMmQIrq6uAKUKyA+rUaMGkydPZtKkSejo6ODr68uNGzdITU0lNDQUJycnMjIySEhIoEWLFuzcuZMtW7Y8dt6VYWdnR25uLvv27cPT0xN9fX309fUfO86oUaNYtWoV/fr1Y9KkSZibm3Px4kUSEhJYvXp1qR3eAFZWVjRt2pSDBw8qxWGVSkVcXBydOnWiTZs2REVF0bBhQ3Jzc/n666/ZvXs3SUlJwIO2H1lZWWRkZFBUVKQ8WM/R0RFDQ0M6d+6Mm5sb/fv3Z+HChVy9epVp06YxatQodHV1lTwOHDhAgwYNcHBwePwbKIQQL5DL87tVdQpCCCGEEKKKyQ5hIcQLbdGiRbRp04aAgAA6depE69atadasmcacuLg4BgwYwMSJE3FxcaFXr14cPXqUevXqAQ+Kxrt37+bUqVO0bNkSb29vtm3bRvXq1alWrRoJCQkcP36cRo0aMX78eBYtWvTYeTZt2pQvvviChIQEGjVqxPTp05k1axYhISEa85ycnPDx8aFhw4YavZHLEh0dzcSJE5k+fTqurq4EBQUpO1l79OjB+PHjCQsLo0mTJhw6dEh5oN3T5uPjw/DhwwkKCsLKyoqFCxf+ozi1a9cmOTmZoqIiOnfujIeHB+PGjcPU1FSjyP93Q4YM4fPPP9cYa9myJceOHcPR0ZGhQ4fi6upKjx49SE1NZcmSJcq86dOn4+XlxYwZM8jNzcXLywsvLy+OHTsGgJaWFjt27EBLSwtvb2/efvttBgwYwKxZszTW+89//sPQoUP/0XULIYQQQgghhBAvEpW6qp7OI4QQ/4PUajVOTk6MHDlSo9+sKN9ff/2Fi4sLGzduxNvb+7mvn5qaSocOHTh//jwmJiaVPi8nJwcTExOys7OlfYQQQgghhBBCiGeusj+HSssIIYR4Tm7cuEFCQgJXr15l0KBBVZ3OS0NPT49169Zx8+bNKlk/MzOTdevWPVYxWAghhBBCCCGEeFFJQVgIIZ6TmjVrYmlpySeffIKZmVlVp/NSadeuXZWt3alTpypbWwghhBBCCCGEeNqkh7AQ/4MuX76MSqVSHrBVlUJCQujVq1dVp/HUlXVdarWaGzdu8NZbbz23PBITE1GpVNy5c6fCeXZ2dhq9d5+l/v37M3fu3Oey1tNQUFCAnZ2d0ndYCCGEEEIIIYR4mUlBWIj/Qba2tmRmZtKoUaMnjnXr1i3q1q1bqaKjeP58fHzIzMxU2h3Ex8djampaat7Ro0cZNmzYM8/n1KlTfPPNN4wZM0Zj/OLFiwwaNIi6deuiq6uLvb09/fr10yjCzpkzBx8fH/T19cu8BoCMjAy6deuGvr4+NWvWJCIigvv371eY0+bNm+ncuTMWFhZl/qJER0eH8PBwJk+e/I+uWQghhBBCCCGEeJFIywgh/gdpaWlhbW39VGKFhobSuHFjfv/996cST1ROQUEBOjo6j5yno6NTqc/aysrqaaT1SB988AF9+vTB0NBQGTt27BgdO3akUaNGfPzxxzRs2JA///yTbdu2MXHiRJKSkoAH19ynTx+8vb1Zs2ZNqdhFRUV069YNa2trDh06RGZmJgMGDEBbW7vCHcl5eXm0bt2awMBAhg4dWuac4OBgJk6cSGpqKu7u7k94F4QQ4vHZTdn5VOJcnt/tqcQRQgghhBAvL9khLMS/VHFxMQsXLsTR0RFdXV3q1avHnDlzgNItI27fvk1wcDBWVlbo6enh5OREXFzcI9dYsWIFd+7cITw8vFI5FRUVMWHCBExNTbGwsGDSpEmo1epSec+bNw97e3v09PTw9PTkq6++0piTmppK9+7dMTY2xsjIiDZt2nDp0iXl+OrVq3F1daVGjRo0bNiQjz76SDlWcu2bN2+mffv26Ovr4+npSUpKisYamzZtwt3dHV1dXezs7IiNjVWOzZo1q8zd1U2aNCE6OrrMa6/o8wCYPHkyzs7O6Ovr06BBA6KjoyksLFSOx8TE0KRJE1avXo29vT01atQAQKVSsXr1anr37o2+vj5OTk5s375dOe/hlhGJiYkMGjSI7OxsVCoVKpWKmJgYoHTLiEfFBTh79ixdunTB0NCQWrVq0b9//wof/FZUVMRXX31FQECAMqZWqwkJCcHJyYkDBw7QrVs3HBwcaNKkCTNmzGDbtm3K3JkzZzJ+/Hg8PDzKjL97927S0tJYv349TZo0oUuXLsyePZsPP/yQgoKCcvPq378/06dPr7BXsJmZGb6+viQkJJQ7RwghhBBCCCGEeBlIQViIf6nIyEjmz59PdHQ0aWlpbNiwgVq1apU5t2TOt99+S3p6OitWrMDS0rLC+GlpacyaNYt169ZRrVrl/lMSGxtLfHw8n376KQcPHiQrK4stW7ZozJk3bx7r1q1j5cqVpKamMn78eN5++21ll+jvv//Oq6++iq6uLt9//z3Hjx9n8ODBSluAzz//nOnTpzNnzhzS09OZO3cu0dHRrF27VmOdqKgowsPDOXnyJM7OzvTr10+Jcfz4cQIDA+nbty9nzpwhJiaG6Oho4uPjARg8eDDp6ekcPXpUiffTTz9x+vRpBg0aVOa1P+rzMDIyIj4+nrS0NJYuXcqqVat4//33NWJcvHiRTZs2sXnzZo22BjNnziQwMJDTp0/TtWtXgoODycrKKpWDj48PS5YswdjYmMzMTDIzMyss5lcU986dO3To0AEvLy+OHTvGrl27uHbtGoGBgeXGO336NNnZ2TRv3lwZO3nyJKmpqUycOLHM76PyWkOUJSUlBQ8PD4376ufnR05ODqmpqcD//UIgMTGx0nFLtGzZkgMHDjz2eUIIIYQQQgghxItEWkYI8S/0559/snTpUpYvX87AgQMBcHBwoHXr1mXOz8jIwMvLSynU2dnZVRg/Pz+ffv36sWjRIurVq8cvv/xSqbyWLFlCZGQkr7/+OgArV67ku+++04g7d+5c9u7di7e3NwANGjTg4MGDfPzxx7Rt25YPP/wQExMTEhIS0NbWBsDZ2VmJMWPGDGJjY5U17O3tSUtL4+OPP1buBUB4eDjduj34s9mZM2fi7u7OxYsXadiwIe+99x4dO3ZUdvs6OzuTlpbGokWLCAkJoW7duvj5+REXF0eLFi0AiIuLo23btjRo0KDUdVfm85g2bZrytZ2dHeHh4SQkJDBp0iRlvKCggHXr1pVq7xASEkK/fv0AmDt3LsuWLePIkSP4+/trzNPR0cHExASVSlWpNhIVxV2+fDleXl4arRg+/fRTbG1tOX/+vMZnUuLKlStoaWlRs2ZNZezChQsANGzY8JH5PMrVq1dL/dKj5P3Vq1cB0NbWxsXFBX19/ceOX7t2ba5cuVLu8fz8fPLz85X3OTk5j72GEEIIIYQQQgjxrMkOYSH+hdLT08nPz6djx46Vmj9ixAgSEhJo0qQJkyZN4tChQ8qxkpYAhoaGSu/UyMhIXF1defvtt8uMl5GRoZxjaGjI3Llzyc7OJjMzk1atWinzqlevrrFb9OLFi9y9e5fXXntN4/x169YpLSFOnjxJmzZtlGLww/Ly8rh06RKhoaEa57/77rsaLSUAGjdurHxtY2MDwPXr15X75+vrqzHf19eXCxcuUFRUBMDQoUP5z3/+w7179ygoKGDDhg0MHjy4zPtRmc9j48aN+Pr6Ym1tjaGhIdOmTSMjI0NjTv369cvs9fvwtRgYGGBsbKxcy5OoKO6pU6fYv3+/xn0uKer+/V6X+Ouvv9DV1UWlUiljf28Z8qzVqVOHn3/+mZYtWz72uXp6ety9e7fc4/PmzcPExER52draPkmqQgghhBBCCCHEMyE7hIX4F9LT03us+V26dOHKlSt888037Nmzh44dOzJq1CgWL17M6tWr+euvvwCUIuz333/PmTNnlN6+JUU9S0tLoqKiiI6O1mhpYG5uXqk8cnNzAdi5cyd16tTROKarq/vIays5f9WqVRqFZ3jwIL2HPVxQLilQFhcXVypPgICAAHR1ddmyZQs6OjoUFhby5ptvljn3UZ9HSkoKwcHBzJw5Ez8/P2UH9MN9i+FBUbYsfy+Oq1Sqx7qW8lQUNzc3l4CAABYsWFDqvJIC+99ZWlpy9+5djQfilewk/vnnn/Hy8nqifK2trTly5IjG2LVr15RjTyorK6vCh+9FRkYyYcIE5X1OTo4UhYUQQgghhBBCvHCkICzEv5CTkxN6enrs27ePIUOGVOocKysrBg4cyMCBA2nTpg0REREsXry4VGEWHjxwraRIDHD06FEGDx7MgQMHcHBwoHr16jg6OpY6z8bGhsOHD/Pqq68CcP/+fY4fP07Tpk0BcHNzQ1dXl4yMDNq2bVtmno0bN2bt2rUUFhaWKljWqlWL2rVr88svvxAcHFyp6y6Lq6srycnJGmPJyck4OzsrheXq1aszcOBA4uLi0NHRoW/fvuUWfh/1eRw6dIj69esTFRWljFXUmuBJ6OjoKLucn0TTpk3ZtGkTdnZ2VK9euf+VNGnSBHjQf7rk6yZNmuDm5kZsbCxBQUGl+gjfuXOn0n2Evb29mTNnDtevX1faUuzZswdjY2Pc3NwqFaMiZ8+erbBoraurq/ziQgghhBBCCCGEeFFJQViIf6EaNWowefJkJk2ahI6ODr6+vty4cYPU1FRCQ0NLzZ8+fTrNmjXD3d2d/Px8duzYgaura7nxHRwcNN7fvHkTeFBIrah4N3bsWObPn4+Tk5PSq/fOnTvKcSMjI8LDwxk/fjzFxcW0bt2a7OxskpOTMTY2ZuDAgYSFhfHBBx/Qt29fIiMjMTEx4ccff6Rly5a4uLgwc+ZMxowZg4mJCf7+/uTn53Ps2DFu376tsXuzIhMnTqRFixbMnj2boKAgUlJSWL58OR999JHGvCFDhij36e8F5Ic96vNwcnIiIyODhIQEWrRowc6dO0s9bO9psbOzIzc3l3379uHp6Ym+vv4/6qc7atQoVq1aRb9+/Zg0aRLm5uZcvHiRhIQEVq9eXWpHNjz4pUPTpk05ePCgUhBWqVTExcXRqVMn2rRpQ1RUFA0bNiQ3N5evv/6a3bt3Kw8UzMjIICsri4yMDIqKipRd6I6OjhgaGtK5c2fc3Nzo378/Cxcu5OrVq0ybNo1Ro0Yphdrff/+djh07sm7dOqVtREnMP/74A4Bz584BD3YVP7yz+MCBA8yePfux75UQQjwNl+d3q+oUhBBCCCHEv4T0EBbiXyo6OpqJEycyffp0XF1dCQoKKrevrI6ODpGRkTRu3JhXX30VLS0tEhISnnpOEydOpH///gwcOBBvb2+MjIzo3bu3xpzZs2cTHR3NvHnzcHV1xd/fn507d2Jvbw+AhYUF33//Pbm5ubRt25ZmzZqxatUqZbfwkCFDWL16NXFxcXh4eNC2bVvi4+OV8yujadOmfPHFFyQkJNCoUSOmT5/OrFmzCAkJ0Zjn5OSEj48PDRs2LNWi4u8q+jx69OjB+PHjCQsLo0mTJhw6dEh5oN3T5uPjw/DhwwkKCsLKyoqFCxf+ozi1a9cmOTmZoqIiOnfujIeHB+PGjcPU1LTULt+HDRkyhM8//1xjrGXLlhw7dgxHR0eGDh2Kq6srPXr0IDU1lSVLlijzpk+fjpeXFzNmzCA3NxcvLy+8vLw4duwY8KAtyI4dO9DS0sLb25u3336bAQMGMGvWLCVGYWEh586d0+gFvH37dry8vJSHDPbt2xcvLy9WrlypzElJSSE7O7vctiBCCCGEEEIIIcTLQqV+3k/0EUKIfwm1Wo2TkxMjR46s9O7j/3V//fUXLi4ubNy4EW9v76pOp9KCgoLw9PRk6tSplT4nJycHExMTsrOzMTY2fobZCSGEEEIIIYQQlf85VFpGCCHEP3Djxg0SEhK4evUqgwYNqup0Xhp6enqsW7dOaTPyMigoKMDDw4Px48dXdSpCCCGEEEIIIcQTkx3CQgjxD6hUKiwtLVm6dClvvfVWVacjXkCyQ1gIIYQQQgghxPNU2Z9DpYewEEL8A2q1mhs3bkgx+Cm7fPkyKpVKeWDcP2VnZ6fRf1ilUrF169YniimEEEIIIYQQQvwbSMsIIYQQ/3qZmZmYmZlVdRpCCCGEEEIIIUSVk4KwEEKIfz1ra+uqTkEIIf4xuyk7n1qsy/O7PbVYQgghhBDi5SQtI4QQQjx3xcXFLFy4EEdHR3R1dalXrx5z5sxRjv/yyy+0b98efX19PD09SUlJ0Th/06ZNuLu7o6uri52dHbGxsRWu93DLiJK2FJs3b65wjYMHD9KmTRv09PSwtbVlzJgx5OXlPZ0bIIQQQgghhBBCVBEpCAshhHjuIiMjmT9/PtHR0aSlpbFhwwZq1aqlHI+KiiI8PJyTJ0/i7OxMv379uH//PgDHjx8nMDCQvn37cubMGWJiYoiOjiY+Pv6xcqhojUuXLuHv788bb7zB6dOn2bhxIwcPHiQsLOyp3QMhhBBCCCGEEKIqqNRqtbqqkxBCCPG/488//8TKyorly5czZMgQjWOXL1/G3t6e1atXExoaCkBaWhru7u6kp6fTsGFDgoODuXHjBrt371bOmzRpEjt37iQ1NRV48FC5cePGMW7cOODBDuEtW7bQq1evSq0xZMgQtLS0+Pjjj5U1Dh48SNu2bcnLy6NGjRqlris/P5/8/HzlfU5ODra2to98uqsQQjyKtIwQQgghhBCVkZOTg4mJySN/DpUdwkIIIZ6r9PR08vPz6dixY7lzGjdurHxtY2MDwPXr15XzfX19Neb7+vpy4cIFioqKKp1HRWucOnWK+Ph4DA0NlZefnx/FxcX8+uuvZcabN28eJiYmysvW1rbSuQghhBBCCCGEEM+LPFROCCHEc6Wnp/fIOdra2srXKpUKeNB3+GmqaI3c3FzeeecdxowZU+q8evXqlRkvMjKSCRMmKO9LdggLIYQQQgghhBAvEikICyGEeK6cnJzQ09Nj3759pVpGVIarqyvJyckaY8nJyTg7O6OlpfVUcmzatClpaWk4OjpW+hxdXV10dXWfyvpCCCGEEEIIIcSzIgVhIYQQz1WNGjWYPHkykyZNQkdHB19fX27cuEFqamqFbSRKTJw4kRYtWjB79myCgoJISUlh+fLlfPTRR08tx8mTJ/PKK68QFhbGkCFDMDAwIC0tjT179rB8+fKnto4QQlSG9P0VQgghhBBPkxSEhRBCPHfR0dFUr16d6dOn88cff2BjY8Pw4cMrdW7Tpk354osvmD59OrNnz8bGxoZZs2YREhLy1PJr3LgxSUlJREVF0aZNG9RqNQ4ODgQFBT21NYQQQgghhBBCiKqgUqvV6qpOQgghhPi3qezTXYUQQgghhBBCiKehsj+HVnuOOQkhhBBCCCGEEEIIIYSoQlIQFkIIIYQQQgghhBBCiP8RUhAWQghRocuXL6NSqTh58uQTxbGzs2PJkiVPJafnLT4+HlNT06pOQwghhBBCCCGEeGJSEBZCCPHSkQKtEEIIIYQQQgjxz1Sv6gSEEEKIqlJUVIRKpaJaNfn9qBDif4PdlJ1VncJzd3l+t6pOQQghhBDihSI/AQshhACguLiYhQsX4ujoiK6uLvXq1WPOnDnK8V9++YX27dujr6+Pp6cnKSkpGudv2rQJd3d3dHV1sbOzIzY2tsL17ty5w5AhQ7CyssLY2JgOHTpw6tQp5fipU6do3749RkZGGBsb06xZM44dO0ZiYiKDBg0iOzsblUqFSqUiJiYGgPz8fMLDw6lTpw4GBga0atWKxMREJWbJzuLt27fj5uaGrq4uGRkZ3L59mwEDBmBmZoa+vj5dunThwoULT35ThRBCCCGEEEKIF4wUhIUQQgAQGRnJ/PnziY6OJi0tjQ0bNlCrVi3leFRUFOHh4Zw8eRJnZ2f69evH/fv3ATh+/DiBgYH07duXM2fOEBMTQ3R0NPHx8eWu16dPH65fv863337L8ePHadq0KR07diQrKwuA4OBg6taty9GjRzl+/DhTpkxBW1sbHx8flixZgrGxMZmZmWRmZhIeHg5AWFgYKSkpJCQkcPr0afr06YO/v79Gcffu3bssWLCA1atXk5qaSs2aNQkJCeHYsWNs376dlJQU1Go1Xbt2pbCwsNL3Lz8/n5ycHI2XEEIIIYQQQgjxopGWEUIIIfjzzz9ZunQpy5cvZ+DAgQA4ODjQunVrLl++DEB4eDjduj34s9uZM2fi7u7OxYsXadiwIe+99x4dO3YkOjoaAGdnZ9LS0li0aBEhISGl1jt48CBHjhzh+vXr6OrqArB48WK2bt3KV199xbBhw8jIyCAiIoKGDRsC4OTkpJxvYmKCSqXC2tpaGcvIyCAuLo6MjAxq166t5Lxr1y7i4uKYO3cuAIWFhXz00Ud4enoCcOHCBbZv305ycjI+Pj4AfP755/+PvfuOqurMHj7+vYj0JogUBbHQbAgRFdFYULGEWCaxMQoqGt6IJRaUKIKdqFgZY0sgJhJi72WUaKLYSaygURPERFQMCmKhv3+4PD+vFLGik/1Z667Ffeo+597MLDaP+2BjY8OmTZv4+OOPy3UPZ82axZQpU8o1VgghhBBCCCGEqChyQlgIIQTJycnk5OTg5eVV6phGjRopP1tZWQFw8+ZNZb6np6faeE9PTy5evEhBQUGxtU6dOkV2djZmZmYYGBgorz/++IPLly8DMHr0aAICAmjfvj0RERFKe2nOnDlDQUEBDg4Oamv+9NNPanO1tLTUriU5ORlNTU2aNWumtJmZmeHo6EhycnKZez4pJCSEzMxM5XX16tVyzxVCCCGEEEIIId4UOSEshBACXV3dZ46pXLmy8rNKpQIe1R1+EdnZ2VhZWanV933MxMQEgPDwcPr168f27dvZuXMnYWFhxMXF0aNHj1LXrFSpEomJiVSqVEmtz8DAQPlZV1dXif9V0tbWVk47CyGEEEIIIYQQbytJCAshhMDe3h5dXV3i4+MJCAh47vnOzs4kJCSotSUkJODg4FAsOQvg5ubG9evX0dTUxM7OrtR1HRwccHBw4LPPPqNv375ER0fTo0cPtLS0ip08dnV1paCggJs3b9KqVavnij0/P5+jR48qJSP+/vtvLly4QL169cq9jhBCCCGEEEII8S6QhLAQQgh0dHQYP348wcHBaGlp4enpSXp6OufOnSuzjMRjY8aMwd3dnWnTptG7d28OHz5MVFQUS5YsKXF8+/bt8fDwoHv37syePRsHBweuXbvG9u3b6dGjB/Xr12fcuHF89NFH1KpViz///JPjx4/zr3/9CwA7Ozuys7OJj4/HxcUFPT09HBwc8PX1ZcCAAURGRuLq6kp6ejrx8fE0atRIqX/8NHt7e7p168aQIUNYtmwZhoaGTJgwgerVq9OtW7cXv6lCCPEWSoko+X8LhRBCCCHEP4fUEBZCCAFAaGgoY8aMYfLkyTg7O9O7d2+lRvCzuLm5sWbNGuLi4mjQoAGTJ09m6tSpJT5QDh6VnNixYwfvv/8+AwcOxMHBgT59+nDlyhUsLCyoVKkSf//9NwMGDMDBwYFevXrRuXNn5aFtLVq0IDAwkN69e2Nubs7s2bMBiI6OZsCAAYwZMwZHR0e6d+/O8ePHsbW1LTP+6Oho3nvvPT744AM8PDwoKipix44damUyhBBCCCGEEEKI/wWqoqKioooOQgghhPhfk5WVhbGxMZmZmRgZGVV0OEIIIYQQQggh/seV9/dQOSEshBBCCCGEEEIIIYQQ/xCSEBZCCCGEEEIIIYQQQoh/CEkICyGEqHApKSmoVCpOnjz5UuvY2dmxYMGCVxKTEEIIIYQQQgjxv0gSwkIIIf6xYmJiMDExqegwhBBCCCGEEEKIN0azogMQQgghhBCiPOwmbK/oEN55KRFdKzoEIYQQQghRweSEsBBCiDemsLCQ2bNnU7duXbS1tbG1tWXGjBlK/++//07btm3R09PDxcWFw4cPq81fv3499evXR1tbGzs7OyIjI8vcb968eTRs2BB9fX1sbGz49NNPyc7OBmD//v0MHDiQzMxMVCoVKpWK8PBwAHJychg7dizVq1dHX1+fZs2asX///ld6L4QQQgghhBBCiIogCWEhhBBvTEhICBEREYSGhpKUlERsbCwWFhZK/8SJExk7diwnT57EwcGBvn37kp+fD0BiYiK9evWiT58+nDlzhvDwcEJDQ4mJiSl1Pw0NDRYtWsS5c+f45ptv+PHHHwkODgagRYsWLFiwACMjI9LS0khLS2Ps2LEABAUFcfjwYeLi4jh9+jQff/wxnTp14uLFi6XulZOTQ1ZWltpLCCGEEEIIIYR426iKioqKKjoIIYQQ//vu3r2Lubk5UVFRBAQEqPWlpKRQq1YtVq5cyeDBgwFISkqifv36JCcn4+TkhK+vL+np6fz3v/9V5gUHB7N9+3bOnTsHPHqo3KhRoxg1alSJMaxbt47AwEBu3boFPKohPGrUKO7cuaOMSU1NpXbt2qSmpmJtba20t2/fnqZNmzJz5swS1w4PD2fKlCnF2jMzMzEyMnr2DRJCPJOUjHh5UjJCCCGEEOJ/V1ZWFsbGxs/8PVROCAshhHgjkpOTycnJwcvLq9QxjRo1Un62srIC4ObNm8p8T09PtfGenp5cvHiRgoKCEtfbu3cvXl5eVK9eHUNDQ/r378/ff//N/fv3S43hzJkzFBQU4ODggIGBgfL66aefuHz5cqnzQkJCyMzMVF5Xr14tdawQQgghhBBCCFFR5KFyQggh3ghdXd1njqlcubLys0qlAh7VHX4RKSkpfPDBB/y///f/mDFjBqamphw8eJDBgweTm5uLnp5eifOys7OpVKkSiYmJVKpUSa3PwMCg1P20tbXR1tZ+oViFEEIIIYQQQog3RRLCQggh3gh7e3t0dXWJj48vVjKiPJydnUlISFBrS0hIwMHBoVjiFh7VHC4sLCQyMhINjUf/IGbNmjVqY7S0tIqdLnZ1daWgoICbN2/SqlWr545TCCGEEEIIIYR4m0lCWAghxBuho6PD+PHjCQ4ORktLC09PT9LT0zl37lyZZSQeGzNmDO7u7kybNo3evXtz+PBhoqKiWLJkSYnj69atS15eHosXL8bHx4eEhASWLl2qNsbOzo7s7Gzi4+NxcXFBT08PBwcHfH19GTBgAJGRkbi6upKenk58fDyNGjWia1epvylERZH6t0IIIYQQQrw8qSEshBDijQkNDWXMmDFMnjwZZ2dnevfurdQIfhY3NzfWrFlDXFwcDRo0YPLkyUydOhV/f/8Sx7u4uDBv3jy++OILGjRowOrVq5k1a5bamBYtWhAYGEjv3r0xNzdn9uzZAERHRzNgwADGjBmDo6Mj3bt35/jx49ja2r7U9QshhBBCCCGEEBVNVVRUVFTRQQghhBD/a8r7dFchhBBCCCGEEOJVKO/voXJCWAghhBBCCCGEEEIIIf4hJCEshBBCCCGEEEIIIYQQ/xCSEBZCiBeQkpKCSqXi5MmTFR1Kifz9/enevXtFh/FcVCoVmzZteqk12rRpw6hRo15JPEIIIYQQQgghxP8iSQgLIYT4x9q/fz8qlYo7d+5UdChCCCGEEEIIIcQboVnRAQghhBBCCPFPYDdhe0WHQEpE14oOQQghhBBCVDA5ISyEEGUoLCxk9uzZ1K1bF21tbWxtbZkxY4bS//vvv9O2bVv09PRwcXHh8OHDavMPHjxIq1at0NXVxcbGhhEjRnDv3j2l387OjpkzZzJo0CAMDQ2xtbVl+fLlamucOXOGdu3aoauri5mZGUOHDiU7O1vpLygoYPTo0ZiYmGBmZkZwcDBFRUXFrmPWrFnUqlULXV1dXFxcWLdundqYn376iaZNm6KtrY2VlRUTJkwgPz8fgFWrVmFgYMDFixeV8Z9++ilOTk7cv3+fqVOn0qBBg2L3r3HjxoSGhirvv/76a+rXr6/sERQUpDb+1q1b9OjRAz09Pezt7dmyZUu5YyzJt99+S5MmTTA0NMTS0pJ+/fpx8+ZN4FHZj7Zt2wJQpUoVVCoV/v7+5b5fQgghhBBCCCHEu0gSwkIIUYaQkBAiIiIIDQ0lKSmJ2NhYLCwslP6JEycyduxYTp48iYODA3379lUSlJcvX6ZTp07861//4vTp0/zwww8cPHiwWBI0MjKSJk2a8Ouvv/Lpp5/y//7f/+PChQsA3Lt3D29vb6pUqcLx48dZu3Yte/fuVVsjMjKSmJgYvv76aw4ePEhGRgYbN25U22PWrFmsWrWKpUuXcu7cOT777DP+/e9/89NPPwHw119/0aVLF9zd3Tl16hRffvklX331FdOnTwdgwIABdOnSBV9fX/Lz89m+fTsrV65k9erV6OnpMWjQIJKTkzl+/Liy56+//srp06cZOHAgAF9++SXDhg1j6NChnDlzhi1btlC3bl21OKdMmUKvXr04ffq0sl9GRka5YixJXl4e06ZN49SpU2zatImUlBQl6WtjY8P69esBuHDhAmlpaSxcuLBc96skOTk5ZGVlqb2EEEIIIYQQQoi3jaro6WNkQgghALh79y7m5uZERUUREBCg1peSkkKtWrVYuXIlgwcPBiApKYn69euTnJyMk5MTAQEBVKpUiWXLlinzDh48SOvWrbl37x46OjrY2dnRqlUrvv32WwCKioqwtLRkypQpBAYGsmLFCsaPH8/Vq1fR19cHYMeOHfj4+HDt2jUsLCywtrbms88+Y9y4cQDk5+dTq1Yt3nvvPTZt2kROTg6mpqbs3bsXDw8PJZaAgADu379PbGwsEydOZP369SQnJ6NSqQBYsmQJ48ePJzMzEw0NDW7fvk2jRo3w8fFhw4YNjBgxgs8//1xZr0uXLtjZ2bFkyRIARowYwZkzZ9i3bx8A1atXZ+DAgaUmcFUqFZMmTWLatGnAo2S4gYEBO3fupFOnTuWKsU2bNjRu3JgFCxaUuMeJEydwd3fn7t27GBgYsH//ftq2bcvt27cxMTEBKNf9Kkl4eDhTpkwp1p6ZmYmRkVGJc4QQ/yxSMkIIIYQQQrxOWVlZGBsbP/P3UDkhLIQQpUhOTiYnJwcvL69SxzRq1Ej52crKCkApSXDq1CliYmIwMDBQXt7e3hQWFvLHH3+UuIZKpcLS0lJZIzk5GRcXFyUZDODp6UlhYSEXLlwgMzOTtLQ0mjVrpvRramrSpEkT5f2lS5e4f/8+HTp0UItl1apVXL58WdnHw8NDSbQ+3ic7O5s///wTeFRW4auvvuLLL7+kTp06TJgwQe1eDBkyhO+//56HDx+Sm5tLbGwsgwYNUu7JtWvXyryXT98LfX19jIyM1O7Fs2J8WmJiIj4+Ptja2mJoaEjr1q0BSE1NLTWG8tyvkoSEhJCZmam8rl69Wua1CiGEEEIIIYQQFUEeKieEEKXQ1dV95pjKlSsrPz9OVBYWFgKQnZ3NJ598wogRI4rNs7W1LXGNx+s8XuNVeFxvePv27VSvXl2tT1tb+7nW+vnnn6lUqRJpaWncu3cPQ0NDpc/HxwdtbW02btyIlpYWeXl5fPTRR0D57iW82nvxuNyGt7c3q1evxtzcnNTUVLy9vcnNzS113oveL21t7ee+n0IIIYQQQgghxJsmJ4SFEKIU9vb26OrqEh8f/0Lz3dzcSEpKom7dusVeWlpa5VrD2dmZU6dOqT2ILiEhAQ0NDRwdHTE2NsbKyoqjR48q/fn5+SQmJirv69Wrh7a2NqmpqcXisLGxUfY5fPiw2sPoEhISMDQ0pEaNGgAcOnSIL774gq1bt2JgYFCsFrKmpiZ+fn5ER0cTHR1Nnz59lESwoaEhdnZ2L3wvyxvjk86fP8/ff/9NREQErVq1wsnJSTlt/Njjz6GgoOC57pcQQgghhBBCCPGukhPCQghRCh0dHcaPH09wcDBaWlp4enqSnp7OuXPnnln6AGD8+PE0b96coKAgAgIC0NfXJykpiT179hAVFVWuGHx9fQkLC8PPz4/w8HDS09MZPnw4/fv3Vx5uN3LkSCIiIrC3t8fJyYl58+Zx584dZQ1DQ0PGjh3LZ599RmFhIS1btiQzM5OEhASMjIzw8/Pj008/ZcGCBQwfPpygoCAuXLhAWFgYo0ePRkNDg7t379K/f39GjBhB586dqVGjBu7u7vj4+CingOFRnV1nZ2fgUbL2SeHh4QQGBlKtWjU6d+7M3bt3SUhIYPjw4eW6F8+K8Wm2trZoaWmxePFiAgMDOXv2rFKf+LGaNWuiUqnYtm0bXbp0QVdXt1z3SwghXoTU7xVCCCGEEG8DSQgLIUQZQkND0dTUZPLkyVy7dg0rKysCAwPLNbdRo0b89NNPTJw4kVatWlFUVESdOnXo3bt3uffX09Nj9+7djBw5End3d/T09PjXv/7FvHnzlDFjxowhLS0NPz8/NDQ0GDRoED169CAzM1MZM23aNMzNzZk1axa///47JiYmuLm5KQ+Fq169Ojt27GDcuHG4uLhgamrK4MGDmTRpEvAo6ayvr8/MmTMBaNiwITNnzuSTTz7Bw8NDKa1gb29PixYtyMjIUKtrDODn58fDhw+ZP38+Y8eOpWrVqmrJ5Gd5VoxPMzc3JyYmhs8//5xFixbh5ubG3Llz+fDDD9XWnDJlChMmTGDgwIEMGDCAmJiYZ94vIYQQQgghhBDiXaUqevLf3gohhBAvoaioCHt7ez799FNGjx5d0eFUqPI+3VUIIYQQQgghhHgVyvt7qJwQFkII8Uqkp6cTFxfH9evXGThwYEWHI4QQQgghhBBCiBJIQlgIIcQrUa1aNapWrcry5cupUqVKRYcjhBBCCCGEEEKIEhR/Co8QQojXJiYmBhMTk4oOAwCVSsWmTZvKHOPv70/37t3LtV5RURHp6en069fvheL56quv6Nix4wvNfVlJSUnUqFGDe/fuVcj+QgghhBBCCCHEmyIJYSGEKMHzJELfVWlpaXTu3BmAlJQUVCoVJ0+eVBuzcOFCYmJiXnssDx8+JDQ0lLCwMLX2rKwsJk6ciJOTEzo6OlhaWtK+fXs2bNhAUVEReXl5jB8/noYNG6Kvr4+1tTUDBgzg2rVrxfbYvn07zZo1Q1dXlypVqqh9vvXq1aN58+ZqD+t7Ups2bV7l5QohhBBCCCGEEBVGSkYIIf5RcnNz0dLSqugwXpuioiIKCgrQ1Hz2/7xbWlo+c4yxsfGrCOuZ1q1bh5GREZ6enkrbnTt3aNmyJZmZmUyfPh13d3c0NTX56aefCA4Opl27dqhUKn755RdCQ0NxcXHh9u3bjBw5kg8//JATJ04oa61fv54hQ4Ywc+ZM2rVrR35+PmfPnlWLYeDAgQwZMoSQkBA0NTXZtm0b1tbWuLm5KWPi4uJwc3PDwcHh9d8UIcQ/it2E7W9kn5SIrm9kHyGEEEII8faSE8JCiLdaYWEhs2fPpm7dumhra2Nra8uMGTOU/qtXr9KrVy9MTEwwNTWlW7dupKSkKP2PT/rOmDEDa2trHB0dAThz5gzt2rVDV1cXMzMzhg4dSnZ2NgDh4eF88803bN68GZVKhUqlYv/+/c+c9/PPP1O5cmWuX7+udg2jRo2iVatWpV7j1q1bcXd3R0dHh6pVq9KjRw+l79tvv6VJkyYYGhpiaWlJv379uHnzptK/f/9+VCoVO3fu5L333kNbW5uDBw/Spk0bRowYQXBwMKamplhaWhIeHq6275MlI2rVqgWAq6srKpVKORH79Enp8qx7584dAgICMDc3x8jIiHbt2nHq1KlSrx8eJVp9fHzU2j7//HNSUlI4evQofn5+1KtXDwcHB4YMGcLJkycxMDDA2NiYPXv20KtXLxwdHWnevDlRUVEkJiaSmpoKQH5+PiNHjmTOnDkEBgbi4OBAvXr16NWrl9p+HTp0ICMjg59++gmA2rVrExISQlhYGHfu3KFXr17s27ePqlWrlnktQgghhBBCCCHE20wSwkKIt1pISAgRERGEhoaSlJREbGwsFhYWAOTl5eHt7Y2hoSEHDhwgISEBAwMDOnXqRG5urrJGfHw8Fy5cYM+ePWzbto179+7h7e1NlSpVOH78OGvXrmXv3r0EBQUBMHbsWHr16kWnTp1IS0sjLS2NFi1aPHPe+++/T+3atfn222+VvfPy8li9ejWDBg0q8fq2b99Ojx496NKlC7/++ivx8fE0bdpUbf60adM4deoUmzZtIiUlBX9//2LrTJgwgYiICJKTk2nUqBEA33zzDfr6+hw9epTZs2czdepU9uzZU2Icx44dA2Dv3r2kpaWxYcOGUj+TZ6378ccfc/PmTXbu3EliYiJubm54eXmRkZFR6poHDx6kSZMmyvvCwkLi4uLw9fXF2tq62HgDA4NST0FnZmaiUqmUWs2//PILf/31FxoaGri6umJlZUXnzp2LnRDW0tKicePGHDhwAHhURmL37t1cvHiRU6dO0b59e5YtW4apqWmJ++bk5JCVlaX2EkIIIYQQQggh3jZSMkII8da6e/cuCxcuJCoqCj8/PwDq1KlDy5YtAfjhhx8oLCxk5cqVqFQqAKKjozExMWH//v3KA8r09fVZuXKlUipixYoVPHz4kFWrVqGvrw9AVFQUPj4+fPHFF1hYWKCrq0tOTo5aWYVvvvnmmfMGDx5MdHQ048aNAx6d/n348GGx06iPzZgxgz59+jBlyhSlzcXFRfn5yURy7dq1WbRoEe7u7mRnZ2NgYKD0TZ06lQ4dOqit3ahRI6Umr729PVFRUcTHxxcbB2Bubg6AmZnZM0tJlLXuwYMHOXbsGDdv3kRbWxuAuXPnsmnTJtatW8fQoUOLrXfnzh0yMzPVEr+3bt3i9u3bODk5lRnL0x4+fMj48ePp27cvRkZGAPz+++/Ao5Pf8+bNw87OjsjISNq0acNvv/2mluC1trbmypUrAFy4cIFRo0bh7u6Oi4sLe/fu5eTJk8yYMYMqVaoU23vWrFlqn6MQQgghhBBCCPE2khPCQoi3VnJyMjk5OXh5eZXYf+rUKS5duoShoSEGBgYYGBhgamrKw4cPuXz5sjKuYcOGanWDk5OTcXFxUZK6AJ6enhQWFnLhwoUy43nWPH9/fy5dusSRI0cAiImJoVevXmpznnTy5MlSrw8gMTERHx8fbG1tMTQ0pHXr1gBKOYTHnjxd+9jjk8KPWVlZqZWbeFFlrXvq1Cmys7MxMzNTPhMDAwP++OMPtc/kSQ8ePABAR0dHaSsqKnruuPLy8ujVqxdFRUV8+eWXSnthYSEAEydO5F//+hfvvfce0dHRqFQq1q5dq7aGrq4u9+/fB+C3335jxowZTJ06FRMTE9asWUOrVq1IT08vcf+QkBAyMzOV19WrV5/7GoQQQgghhBBCiNdNTggLId5aurq6ZfZnZ2fz3nvvsXr16mJ9j0+8AqUmY1+HatWq4ePjQ3R0NLVq1WLnzp1K/eGSlHWNj0tUeHt7s3r1aszNzUlNTcXb21utJAaUfI2VK1dWe69SqZTk6Msoa93s7GysrKxKvObHJRyeZmZmhkql4vbt20qbubk5JiYmnD9/vlwxPU4GX7lyhR9//FE5HQyPEtbwqATEY9ra2tSuXbtYYj0jI4M6deoAFKtpDNC3b99SY9DW1lZORQshhBBCCCGEEG8rOSEshHhr2dvbo6urS3x8fIn9bm5uXLx4kWrVqlG3bl21l7GxcanrOjs7c+rUKe7du6e0JSQkoKGhoTx0TktLi4KCgueeBxAQEMAPP/zA8uXLqVOnDp6enqXG0qhRo1Kv7/z58/z9999ERETQqlUrnJycXskJ35I8PkH99DU/Lzc3N65fv46mpmaxz6S0h7FpaWlRr149kpKSlDYNDQ369OnD6tWruXbtWrE52dnZ5OfnA/+XDL548SJ79+7FzMxMbezjh+09efo7Ly+PlJQUatasqTb27NmzuLq6FtuvrKS+EEIIIYQQQgjxLpETwkKIt5aOjg7jx48nODgYLS0tPD09SU9P59y5cwwePBhfX1/mzJlDt27dmDp1KjVq1ODKlSts2LCB4OBgatSoUeK6vr6+hIWF4efnR3h4OOnp6QwfPpz+/fsrD6yzs7Nj9+7dXLhwATMzM4yNjcs1D8Db2xsjIyOmT5/O1KlTy7zGsLAwvLy8qFOnDn369CE/P58dO3Ywfvx4bG1t0dLSYvHixQQGBnL27FmmTZv26m7wE6pVq4auri67du2iRo0a6OjolJlUL0379u3x8PCge/fuzJ49GwcHB65du6Y8PK+k0hbw6J4dPHiQUaNGKW0zZsxg//79NGvWjBkzZtCkSRMqV67MgQMHmDVrFsePH0dfX5+PPvqIX375hW3btlFQUMD169cBMDU1RUtLCyMjIwIDAwkLC8PGxoaaNWsyZ84c4NED8B5LSUnhr7/+on379s993UII8bJSIrpWdAhCCCGEEOIfQk4ICyHeaqGhoYwZM4bJkyfj7OxM7969lVOyenp6/Pzzz9ja2tKzZ0+cnZ0ZPHgwDx8+VCsZ8DQ9PT12795NRkYG7u7ufPTRR3h5eREVFaWMGTJkCI6OjjRp0gRzc3MSEhLKNQ8enW719/enoKCAAQMGlHl9bdq0Ye3atWzZsoXGjRvTrl07jh07BjwqmxATE8PatWupV68eERERzJ0790VvZZk0NTVZtGgRy5Ytw9ramm7dur3QOiqVih07dvD+++8zcOBAHBwc6NOnD1euXFFLmj9t8ODB7Nixg8zMTKXN1NSUI0eO8O9//5vp06fj6upKq1at+P7775kzZw7Gxsb89ddfbNmyhT///JPGjRtjZWWlvA4dOqSsNWfOHPr06UP//v1xd3dXSks8+XC477//no4dOxY7NSyEEEIIIYQQQvwvURW9yJN7hBBClGnw4MGkp6ezZcuWig7lnfHxxx/j5uZGSEjIG987NzcXe3t7YmNjyyzx8TyysrIwNjYmMzOzzD9QCCGEEEIIIYQQr0J5fw+VE8JCCPEKZWZmcvDgQWJjYxk+fHhFh/NOmTNnDgYGBhWyd2pqKp9//vkrSwYLIYQQQgghhBBvK0kICyEUbdq0UavhWhI7OzsWLFjw0nt99dVXdOzYscwx/v7+dO/e/aX3epO6detGx44dCQwMpEOHDhUdjpr9+/ejUqm4c+dORYdSIjs7uwpLoq9cuZKzZ89WyN5CCCGEEEIIIcSbJAlhIYRiw4YNr+2hZU96+PAhoaGhhIWFPde8n3/+GR8fH6ytrVGpVGzatKnYmOzsbIKCgqhRowa6urrUq1ePpUuXlrnu/v376datG1ZWVujr69O4cWNWr15d4tgpU6bw73//m4yMDIYPH46joyO6urrY2toyYsQINm/ezP3795k/f77avL///psaNWqUKyG7YcMGOnbsiJmZGSqVipMnT5Y5/kU9fPgQf39/GjZsiKamZqnJ99WrV+Pi4oKenh5WVlYMGjSIv//+u8y1ly9fTps2bTAyMirzmh88eIC+vj6XLl1iw4YNdOjQAXNzc4yMjPDw8GD37t2l7hEREYFKpXrmHzHK8/mOHTuWb775ht9//73Y/JiYGGJiYsrcQwghhBBCCCGEeFdIQliId0hubu5rXd/U1BRDQ8PXugfAunXrMDIyeu5/nn/v3j1cXFz4z3/+U+qY0aNHs2vXLr777juSk5MZNWoUQUFBZdbyPXToEI0aNWL9+vWcPn2agQMHMmDAALZt21Zs7ObNm/nwww+5du0a165dY+7cuZw9e5aYmBh27drF4MGDS9xj8ODBNGrUqNzX2bJlS7744otyjX9RBQUF6OrqMmLECNq3b1/imISEBAYMGMDgwYM5d+4ca9eu5dixYwwZMqTMte/fv0+nTp34/PPPyxy3Z88eatasSd26dfn555/p0KEDO3bsIDExkbZt2+Lj48Ovv/5abN7x48dZtmxZue5peT7fqlWr4u3tzZdffqm0zZ8/n7t37yrv7969WyzRL4QQbwu7CdvL9RJCCCGEEEISwkK8RoWFhcyePZu6deuira2Nra0tM2bMUPqvXr1Kr169MDExwdTUlG7dupGSkqL0Py6ZMGPGDKytrXF0dATg22+/pUmTJhgaGmJpaUm/fv24efOmMu9xaYDdu3fj6uqKrq4u7dq14+bNm+zcuRNnZ2eMjIzo168f9+/fV+Y9XTLi5s2b+Pj4oKurS61atUo8NXvnzh0CAgKUU53t2rXj1KlTZd6XuLg4fHx81NoKCgoYPXo0JiYmmJmZERwczNPPvOzcuTPTp0+nR48epa596NAh/Pz8aNOmDXZ2dgwdOhQXFxeOHTtW6pzPP/+cadOm0aJFC+rUqcPIkSPp1KkTGzZsUBt39epVzp07R6dOnWjQoAHr16/Hx8eHOnXq0K5dO2bMmMHWrVvJz89Xm/fll19y584dxo4dW+Z9eax///5Mnjy51CRtee3YsQMHBwd0dXVp27at2ncLQF9fny+//JIhQ4ZgaWlZ4hqHDx/Gzs6OESNGUKtWLVq2bMknn3xS5v0EGDVqFBMmTKB58+ZljnucYAdYsGABwcHBuLu7Y29vz8yZM7G3t2fr1q1qc7Kzs/H19WXFihVUqVLlGXeh/J+vj48PcXFxyvsqVarQoUMHDh48yMGDB+nQoUO59hNCCCGEEEIIId5mkhAW4jUKCQkhIiKC0NBQkpKSiI2NxcLCAoC8vDy8vb0xNDTkwIEDJCQkYGBgQKdOndROAsfHx3PhwgX27NmjnGjMy8tj2rRpnDp1ik2bNpGSkoK/v3+x/cPDw4mKiuLQoUNK8nnBggXExsayfft2/vvf/7J48eJS4/f39+fq1avs27ePdevWsWTJErXEM8DHH3+sJJoTExNxc3PDy8uLjIyMUtc9ePAgTZo0UWuLjIwkJiaGr7/+moMHD5KRkcHGjRufeY+f1qJFC7Zs2cJff/1FUVER+/bt47ffflOrV+zv70+bNm3KXCczMxNTU1O1ti1btihlEEqbY2RkhKamptKWlJTE1KlTWbVqFRoaxf8nNyUlBZVKxf79+8t/keVw9epVevbsiY+PDydPniQgIIAJEyY89zoeHh5cvXqVHTt2UFRUxI0bN1i3bh1dunRRxjz+A8TTCednKSwsZNu2bXTr1q3U/rt37xb7HIYNG0bXrl1LTZi/6OfbtGlT/vzzT+U6/P39WbNmDdu2bWPbtm2sWbOmxP/OhBBCCCGEEEKId4nms4cIIV7E3bt3WbhwIVFRUfj5+QFQp04dWrZsCcAPP/xAYWEhK1euRKVSARAdHY2JiQn79+9XEpj6+vqsXLkSLS0tZe1BgwYpP9euXZtFixbh7u5OdnY2BgYGSt/06dOVsgyDBw8mJCSEy5cvU7t2bQA++ugj9u3bx/jx44vF/9tvv7Fz506OHTuGu7s78OhBcM7OzsqYgwcPcuzYMW7evIm2tjYAc+fOZdOmTaxbt46hQ4cWW/fOnTtkZmZibW2t1r5gwQJCQkLo2bMnAEuXLi2zfmxpFi9ezNChQ6lRowaamppoaGiwYsUK3n//fWWMlZUVhYWFpa6xZs0apSTBkzZv3lxq8vLWrVtMmzZN7ZpzcnLo27cvc+bMwdbWtsT6tJUrV8bR0RE9Pb3nvdQyffnll9SpU4fIyEgAHB0dOXPmzHOXofD09GT16tX07t2bhw8fkp+fj4+Pj1rZDj09PRwdHalcufJzrX3kyBEAmjVrVmL/3Llzyc7OplevXkpbXFwcv/zyC8ePHy913Rf9fB9/J69cuYKdnR3fffcdUVFRdO3aFYBevXoRFBTEv//97xLXzcnJIScnR3mflZVVagxCCCGEEEIIIURFkYSwEK9JcnIyOTk5eHl5ldh/6tQpLl26VKxm78OHD7l8+bLyvmHDhmrJYIDExETCw8M5deoUt2/fVpJfqamp1KtXTxn3ZH1VCwsL9PT0lGTw47bS/ul/cnIympqavPfee0qbk5MTJiYmateQnZ2NmZmZ2twHDx6oXcPTfQA6OjpKW2ZmJmlpaWqJQU1NTZo0aVKsbMSzLF68mCNHjrBlyxZq1qzJzz//zLBhw7C2tlZOlM6aNavU+fv27WPgwIGsWLGC+vXrK+1ZWVn89NNPfPXVV8XmZGVl0bVrV+rVq0d4eLjSHhISgrOzc6kJRIDq1atz/vz557rG8khOTi6WaPXw8HjudZKSkhg5ciSTJ0/G29ubtLQ0xo0bR2BgoHIvmjZt+kLXsHnzZj744IMST07HxsYyZcoUNm/eTLVq1YBHp55HjhzJnj171L4/T3uRzxdAV1cXQCmjcvPmTfbs2cP69euBR3+0WLFiRZn7TpkypdR+IYQQQgghhBDibSAJYSFek8fJpdJkZ2fz3nvvlViX19zcXPlZX19fre/evXt4e3vj7e3N6tWrMTc3JzU1FW9v72IPnXvyxKZKpSp2glOlUpV5kvJZsrOzsbKyKrHcwZOJ4yeZmZmhUqm4ffv2C+9bmgcPHvD555+zceNG5VRno0aNOHnyJHPnzn1mTd6ffvoJHx8f5s+fz4ABA9T6du7cSb169bCxsVFrv3v3Lp06dcLQ0JCNGzeq3eMff/yRM2fOsG7dOgAluV21alUmTpz4TiQPZ82ahaenJ+PGjQMe3U99fX1atWrF9OnTsbKyeuG1t2zZQkRERLH2uLg4AgICWLt2rdpnlpiYyM2bN3Fzc1PaCgoK+Pnnn4mKiiInJ4dKlSqVul9Zny+glDl5/N/f6NGj1foNDQ2LtT0pJCRErT8rK6vY90UIIYQQQgghhKhokhAW4jWxt7dHV1eX+Ph4AgICivW7ubnxww8/UK1atVJr0pbk/Pnz/P3330RERCjJphMnTryyuB9zcnIiPz+fxMREpWTEhQsXuHPnjjLGzc2N69evo6mpiZ2dXbnW1dLSol69eiQlJSllMYyNjbGysuLo0aNKaYfHez+Z/HuWvLw88vLyip04rVSp0jMT3/v37+eDDz7giy++KLHURUnlIrKysvD29kZbW5stW7YUO7W6fv165UQ0wPHjxxk0aBAHDhygTp065b6uF+Hs7MyWLVvU2h6XaHge9+/fV6uJDChJ1+c9vf2kixcvcuXKFTp06KDW/v333zNo0CDi4uKUpP5jXl5enDlzRq1t4MCBODk5MX78+DKTwc/6fAHOnj1L5cqVi50cLm/dYG1tbaV0ihBCCCGEEEII8baShLAQr4mOjg7jx48nODgYLS0tPD09SU9P59y5cwwePBhfX1/mzJlDt27dmDp1KjVq1ODKlSts2LCB4OBgatSoUeK6tra2aGlpsXjxYgIDAzl79izTpk175fE7OjrSqVMnPvnkE7788ks0NTUZNWqU2snn9u3b4+HhQffu3Zk9ezYODg5cu3aN7du306NHj2IPjnvM29ubgwcPMmrUKKVt5MiRREREYG9vj5OTE/PmzVNLPsOjE8mXLl1S3v/xxx+cPHkSU1NTbG1tMTIyonXr1owbNw5dXV1q1qzJTz/9xKpVq5g3b54yLyQkhL/++otVq1YBj8oIfPDBB4wcOZJ//etfXL9+HXiUvDY1NSU/P5+dO3cyduxYZY2srCw6duzI/fv3+e6778jKylJqxpqbm1OpUqViSd9bt24Bj5K1j09Q//XXX3h5ebFq1SqaNm0KPDqpmpqayrVr14BHiXgAS0tLLC0ty/jU/k9gYCCRkZGMGzeOgIAAEhMTiYmJKTYuKSmJ3NxcMjIyuHv3LidPngSgcePGAPj4+DBkyBC+/PJLpWTEqFGjaNq0qVJz99ixYwwYMID4+HiqV68OwPXr17l+/bryeZ05cwZDQ0NsbW0xNTVl8+bNtG/fXq12cmxsLH5+fixcuJBmzZopn4Ouri7GxsYYGhrSoEEDtfj19fUxMzNTa3/ez/exAwcO0KpVq2ee7hdCiLdRSkTXZw8SQgghhBACoEgI8doUFBQUTZ8+vahmzZpFlStXLrK1tS2aOXOm0p+WllY0YMCAoqpVqxZpa2sX1a5du2jIkCFFmZmZRUVFRUV+fn5F3bp1K7ZubGxskZ2dXZG2tnaRh4dH0ZYtW4qAol9//bWoqKioaN++fUVA0e3bt5U50dHRRcbGxmrrhIWFFbm4uCjvW7duXTRy5Ei1+Lp27Vqkra1dZGtrW7Rq1aqimjVrFs2fP18Zk5WVVTR8+PAia2vrosqVKxfZ2NgU+fr6FqWmppZ6X86dO1ekq6tbdOfOHaUtLy+vaOTIkUVGRkZFJiYmRaNHjy4aMGCA2vU/vq6nX35+fmox+/v7F1lbWxfp6OgUOTo6FkVGRhYVFhYqY/z8/Ipat26t9r6kdR+P2bt3b1GNGjXUrqG0WICiP/74o8TrLulz+eOPP4qAon379ilt0dHRJa4bFhZW6jWUZOvWrUV169Yt0tbWLmrVqlXR119/XWz/mjVrlrjXkxYtWlRUr169Il1d3SIrK6siX1/foj///LPYdT153WFhYSWuGx0dXVRUVFTUsmXLohUrVqjt07p162d+vk97+jtb0r151uf7mKOjY9H3339f6l7PKzMzswhQ/nsWQgghhBBCCCFep/L+HqoqKnqJf/MrhBAv6OOPP8bNzY2QkJCKDuWZRowYQX5+PkuWLKnoUBStW7embdu2ag+xe1fcunULKysr/vzzTywsLCo6HOBRjegxY8Zw+vTpYiUyXlRWVhbGxsZkZmY+V1kYIYQQQgghhBDiRZT391ApGSGEqBBz5sxh69atFR1GuTRo0AAPD4+KDkORmZnJ5cuX2b59e0WH8kIyMjKYN2/eW5MMhkcPa4yOjn5lyWAhhBBCCCGEEOJtJSeEhRBCiNdATggLIYQQQgghhHiTyvt7qMYbjEkIIYR4pfbv349KpSr2AMKn2dnZsWDBgjcSkxBCCCGEEEII8TaThLAQQoh3VosWLUhLS8PY2BiAmJgYTExMio07fvw4Q4cOfcPRCSGEEEIIIYQQbx8pliiEEOKtk5ubi5aW1jPHaWlpYWlp+cxx5ubmryIsIYR459lNeLn68ykRXV9RJEIIIYQQoqLICWEhhBCvRGFhIbNnz6Zu3bpoa2tja2vLjBkzABg/fjwODg7o6elRu3ZtQkNDycvLU+aGh4fTuHFjVq5cSa1atdDR0QFApVKxcuVKevTogZ6eHvb29mzZskWZ92TJiP379zNw4EAyMzNRqVSoVCrCw8OB4iUjnrUuwNmzZ+ncuTMGBgZYWFjQv39/bt269ZrunhBCCCGEEEII8WZIQlgIIcQrERISQkREBKGhoSQlJREbG4uFhQUAhoaGxMTEkJSUxMKFC1mxYgXz589Xm3/p0iXWr1/Phg0bOHnypNI+ZcoUevXqxenTp+nSpQu+vr5kZGQU279FixYsWLAAIyMj0tLSSEtLY+zYsaXGW9a6d+7coV27dri6unLixAl27drFjRs36NWr1yu4U0IIIYQQQgghRMWRkhFCCCFe2t27d1m4cCFRUVH4+fkBUKdOHVq2bAnApEmTlLF2dnaMHTuWuLg4goODlfbc3FxWrVpVrLyDv78/ffv2BWDmzJksWrSIY8eO0alTJ7VxWlpaGBsbo1KpylVGoqx1o6KicHV1ZebMmcr4r7/+GhsbG3777TccHByKrZeTk0NOTo7yPisr65kxCCGEEEIIIYQQb5okhIUQQry05ORkcnJy8PLyKrH/hx9+YNGiRVy+fJns7Gzy8/MxMjJSG1OzZs0Sa/02atRI+VlfXx8jIyNu3rz50jGXte6pU6fYt28fBgYGxeZdvny5xITwrFmzmDJlykvHJYQQQgghhBBCvE5SMkIIIcRL09XVLbXv8OHD+Pr60qVLF7Zt28avv/7KxIkTyc3NVRunr69f4vzKlSurvVepVBQWFr50zGWtm52djY+PDydPnlR7Xbx4kffff7/E9UJCQsjMzFReV69efekYhRBCCCGEEEKIV01OCAshhHhp9vb26OrqEh8fT0BAgFrfoUOHqFmzJhMnTlTarly58lri0NLSoqCg4KXXcXNzY/369djZ2aGpWb7/q9TW1kZbW/ul9xZCCCGEEEIIIV4nSQgLIYR4aTo6OowfP57g4GC0tLTw9PQkPT2dc+fOYW9vT2pqKnFxcbi7u7N9+3Y2btz4WuKws7MjOzub+Ph4XFxc0NPTQ09P77nXGTZsGCtWrKBv374EBwdjamrKpUuXiIuLY+XKlVSqVOk1RC+EEK9fSkTXig5BCCGEEEJUMCkZIYQQ4pUIDQ1lzJgxTJ48GWdnZ3r37s3Nmzf58MMP+eyzzwgKCqJx48YcOnSI0NDQ1xJDixYtCAwMpHfv3pibmzN79uwXWsfa2pqEhAQKCgro2LEjDRs2ZNSoUZiYmKChIf/XKYQQQgghhBDi3aUqKioqqugghBBCiP81WVlZGBsbk5mZWewBekIIIYQQQgghxKtW3t9D5ZiTEEIIIYQQQgghhBBC/ENIQlgIIYQQQgghhBBCCCH+ISQhLIQQ4oX4+/vTvXv3Ctv/77//plq1aqSkpLzWfXJzc7Gzs+PEiROvdR8hhBBCCCGEEOJNkISwEEKINyIlJQWVSsXJkydfyXozZsygW7du2NnZKW3Hjx/Hy8sLExMTqlSpgre3N6dOnXrmWv/5z3+ws7NDR0eHZs2acezYMaVPS0uLsWPHMn78+FcStxBCCCGEEEIIUZE0KzoAIYQQb5fc3Fy0tLQqOowy3b9/n6+++ordu3crbdnZ2XTq1IkPP/yQJUuWkJ+fT1hYGN7e3ly9epXKlSuXuNYPP/zA6NGjWbp0Kc2aNWPBggV4e3tz4cIFqlWrBoCvry9jxozh3Llz1K9f/41coxDizbKbsL2iQ3gjUiK6VnQIQgghhBCigskJYSGEeIsVFhYye/Zs6tati7a2Nra2tsyYMUPpHz9+PA4ODujp6VG7dm1CQ0PJy8tT+sPDw2ncuDHLli3DxsYGPT09evXqRWZmpjLmcemHGTNmYG1tjaOjI1OnTqVBgwbF4mncuDGhoaElxrpr1y5atmyJiYkJZmZmfPDBB1y+fFnpr1WrFgCurq6oVCratGmj9K1cuRJnZ2d0dHRwcnJiyZIlZd6XHTt2oK2tTfPmzZW28+fPk5GRwdSpU3F0dKR+/fqEhYVx48YNrly5Uupa8+bNY8iQIQwcOJB69eqxdOlS9PT0+Prrr5UxVapUwdPTk7i4uDLjEkIIIYQQQggh3naSEBZCiLdYSEgIERERhIaGkpSURGxsLBYWFkq/oaEhMTExJCUlsXDhQlasWMH8+fPV1rh06RJr1qxh69at7Nq1i19//ZVPP/1UbUx8fDwXLlxgz549bNu2jUGDBpGcnMzx48eVMb/++iunT59m4MCBJcZ67949Ro8ezYkTJ4iPj0dDQ4MePXpQWFgIoJRh2Lt3L2lpaWzYsAGA1atXM3nyZGbMmEFycjIzZ84kNDSUb775ptT7cuDAAd577z21NkdHR8zMzPjqq6/Izc3lwYMHfPXVVzg7O6uVlVCpVMTExACPTkMnJibSvn17pV9DQ4P27dtz+PBhtfWbNm3KgQMHSo1JCCGEEEIIIYR4F0jJCCGEeEvdvXuXhQsXEhUVhZ+fHwB16tShZcuWyphJkyYpP9vZ2TF27Fji4uIIDg5W2h8+fMiqVauoXr06AIsXL6Zr165ERkZiaWkJgL6+PitXrlQrFeHt7U10dDTu7u4AREdH07p1a2rXrl1ivP/617/U3n/99deYm5uTlJREgwYNMDc3B8DMzEzZFyAsLIzIyEh69uwJPDpJnJSUxLJly5TrftqVK1ewtrZWazM0NGT//v10796dadOmAWBvb8/u3bvR1Py//7tzdHTE2NgYgFu3blFQUKCWZAewsLDg/Pnzam3W1tZlnjTOyckhJydHeZ+VlVXqWCGEEEIIIYQQoqLICWEhhHhLJScnk5OTg5eXV6ljfvjhBzw9PbG0tMTAwIBJkyaRmpqqNsbW1lZJBgN4eHhQWFjIhQsXlLaGDRsWqxs8ZMgQvv/+ex4+fEhubi6xsbEMGjSo1FguXrxI3759qV27NkZGRsqp3KfjedK9e/e4fPkygwcPxsDAQHlNnz5drdzE0x48eICOjk6xtsGDB+Pp6cmRI0dISEigQYMGdO3alQcPHijjzp8/T48ePUpduzS6urrcv3+/1P5Zs2ZhbGysvGxsbJ57DyGEEEIIIYQQ4nWTE8JCCPGW0tXVLbP/8OHD+Pr6MmXKFLy9vTE2NiYuLo7IyMjn3ktfX79Ym4+PD9ra2mzcuBEtLS3y8vL46KOPSl3Dx8eHmjVrsmLFCqytrSksLKRBgwbk5uaWOic7OxuAFStW0KxZM7W+SpUqlTqvatWq3L59W60tNjaWlJQUDh8+jIaGhtJWpUoVNm/eTJ8+fUpcp1KlSty4cUOt/caNG2qnmAEyMjKUU84lCQkJYfTo0cr7rKwsSQoLIYQQQgghhHjrSEJYCCHeUvb29ujq6hIfH09AQECx/kOHDlGzZk0mTpyotJVU0iA1NZVr164pJRaOHDmChoYGjo6OZe6vqamJn58f0dHRaGlp0adPn1KT1H///TcXLlxgxYoVtGrVCoCDBw+qjXl8ArmgoEBps7CwwNramt9//x1fX98y43mSq6sr3333nVrb/fv30dDQQKVSKW2P3z+uY/w0LS0t3nvvPeLj4+nevTvw6EF+8fHxBAUFqY09e/Ysrq6upcakra2NtrZ2ua9BCCGEEEIIIYSoCJIQFkKIt5SOjg7jx48nODgYLS0tPD09SU9P59y5cwwePBh7e3tSU1OJi4vD3d2d7du3s3HjxhLX8fPzY+7cuWRlZTFixAh69epV7ARsSQICAnB2dgYgISGh1HFVqlTBzMyM5cuXY2VlRWpqKhMmTFAbU61aNXR1ddm1axc1atRAR0cHY2NjpkyZwogRIzA2NqZTp07k5ORw4sQJbt++rXbi9kne3t6EhIRw+/ZtqlSpAkCHDh0YN24cw4YNY/jw4RQWFhIREYGmpiZt27ZV5jo5OTFr1iylbMTo0aPx8/OjSZMmNG3alAULFnDv3r1iD887cOCAUptYCPG/JyWia0WHIIQQQgghxBshNYSFEOItFhoaypgxY5g8eTLOzs707t2bmzdvAvDhhx/y2WefERQUROPGjTl06BChoaHF1qhbty49e/akS5cudOzYkUaNGrFkyZJy7W9vb0+LFi1wcnIqVtLhSRoaGsTFxZGYmEiDBg347LPPmDNnjtoYTU1NFi1axLJly7C2tqZbt27Ao6TzypUriY6OpmHDhrRu3ZqYmBhq1apV6n4NGzbEzc2NNWvWKG1OTk5s3bqV06dP4+HhQatWrbh27Rq7du3CyspKGXfhwgUyMzOV971792bu3LlMnjyZxo0bc/LkSXbt2qX2oLnDhw+TmZlZZskMIYQQQgghhBDiXaAqKioqqugghBBCvB7h4eFs2rSJkydPvtD8oqIi7O3t+fTTT0s9rVtRtm/fzrhx4zh79qxSM/h16d27Ny4uLnz++eflnpOVlYWxsTGZmZkYGRm9xuiEEEIIIYQQQojy/x4qJSOEEEKUKD09nbi4OK5fv16sfMLboGvXrly8eJG//vrrtT68LTc3l4YNG/LZZ5+9tj2EEEIIIYQQQog3RRLCQgghSlStWjWqVq3K8uXLlTq9b5tRo0a99j20tLSYNGnSa99HCCGEEEIIIYR4E6SGsBBC/A8LDw9/qXIR6enp9OvX79UG9Yrk5uZSt25dDh069Nr3at68OevXr3/t+wghhBBCCCGEEK+bJISFEEK8MSqVik2bNr2StZYuXUqtWrVo0aKFWvv27dtp1qwZurq6VKlShe7duz9zrbVr1+Lk5ISOjg4NGzZkx44dav2TJk1iwoQJFBYWvpLYhRBCCCGEEEKIiiIlI4QQQpQpNzcXLS2tig5DTVFREVFRUUydOlWtff369QwZMoSZM2fSrl078vPzOXv2bJlrHTp0iL59+zJr1iw++OADYmNj6d69O7/88gsNGjQAoHPnzgQEBLBz5066du362q5LCCFeN7sJ2ys6hAqXEiH/Oy6EEEKIfzY5ISyEEO+QwsJCZs+eTd26ddHW1sbW1pYZM2Yo/ePHj8fBwQE9PT1q165NaGgoeXl5Sn94eDiNGzdm2bJl2NjYoKenR69evcjMzFTG+Pv70717d2bMmIG1tTWOjo4AnDlzhnbt2qGrq4uZmRlDhw4lOztbmXf8+HE6dOhA1apVMTY2pnXr1vzyyy9Kv52dHQA9evRApVIp7wE2b96Mm5sbOjo61K5dmylTppCfn1/qfUhMTOTy5ctqydn8/HxGjhzJnDlzCAwMxMHBgXr16tGrV68y7+nChQvp1KkT48aNw9nZmWnTpuHm5kZUVJQyplKlSnTp0oW4uLgy1xJCCCGEEEIIId52khAWQoh3SEhICBEREYSGhpKUlERsbCwWFhZKv6GhITExMSQlJbFw4UJWrFjB/Pnz1da4dOkSa9asYevWrezatYtff/2VTz/9VG1MfHw8Fy5cYM+ePWzbto179+7h7e1NlSpVOH78OGvXrmXv3r0EBQUpc+7evYufnx8HDx7kyJEj2Nvb06VLF+7evQs8ShgDREdHk5aWprw/cOAAAwYMYOTIkSQlJbFs2TJiYmLUEt1PO3DgAA4ODhgaGiptv/zyC3/99RcaGhq4urpiZWVF586di50QtrOzIzw8XHl/+PBh2rdvrzbG29ubw4cPq7U1bdqUAwcOlBqTEEIIIYQQQgjxLpCSEUII8Y64e/cuCxcuJCoqCj8/PwDq1KlDy5YtlTGTJk1Sfrazs2Ps2LHExcURHBystD98+JBVq1ZRvXp1ABYvXkzXrl2JjIzE0tISAH19fVauXKmUilixYoUyT19fH4CoqCh8fHz44osvsLCwoF27dmrxLl++HBMTE3766Sc++OADzM3NATAxMVH2AZgyZQoTJkxQrql27dpMmzaN4OBgwsLCSrwXV65cwdraWq3t999/Bx6dgp43bx52dnZERkbSpk0bfvvtN0xNTZV7VrVqVWXe9evX1ZLqABYWFly/fl2tzdramqtXr1JYWIiGRvG/p+bk5JCTk6O8z8rKKjF2IYQQQgghhBCiIklCWAgh3hHJycnk5OTg5eVV6pgffviBRYsWcfnyZbKzs8nPz8fIyEhtjK2trZIMBvDw8KCwsJALFy4oidqGDRuq1Q1OTk7GxcVFSQYDeHp6KvMsLCy4ceMGkyZNYv/+/dy8eZOCggLu379Pampqmdd16tQpEhIS1E4EFxQU8PDhQ+7fv4+enl6xOQ8ePEBHR0et7fED3yZOnMi//vUv4NFp5Bo1arB27Vo++eQT4NHp5xehq6tLYWEhOTk56OrqFuufNWsWU6ZMeaG1hRBCCCGEEEKIN0USwkII8Y4oKQn5pMOHD+Pr68uUKVPw9vbG2NiYuLg4IiMjn3uvJxO/5eXn58fff//NwoULqVmzJtra2nh4eJCbm1vmvOzsbKZMmULPnj2L9T2d9H2satWqnDlzRq3NysoKgHr16ilt2tra1K5du8yktKWlJTdu3FBru3HjhtopZoCMjAz09fVL/RxCQkIYPXq08j4rKwsbG5tS9xVCCCGEEEIIISqC1BAWQoh3hL29Pbq6uqWecD106BA1a9Zk4sSJNGnSBHt7e65cuVJsXGpqKteuXVPeHzlyBA0NDeXhcSVxdnbm1KlT3Lt3T2lLSEhQm5eQkMCIESPo0qUL9evXR1tbm1u3bqmtU7lyZQoKCtTa3NzcuHDhAnXr1i32Kqk0A4Crqyvnz5+nqKhIaXvvvffQ1tbmwoULSlteXh4pKSnUrFmz1Gvz8PAodk/37NmDh4eHWtvZs2dxdXUtdR1tbW2MjIzUXkIIIYQQQgghxNtGTggLIcQ7QkdHh/HjxxMcHIyWlhaenp6kp6dz7tw5Bg8ejL29PampqcTFxeHu7s727dvZuHFjiev4+fkxd+5csrKyGDFiBL169Sp2IvZJvr6+hIWF4efnR3h4OOnp6QwfPpz+/fsr9Xft7e359ttvadKkCVlZWYwbN67YaVo7Ozvi4+Px9PREW1ubKlWqMHnyZD744ANsbW356KOP0NDQ4NSpU5w9e5bp06eXGE/btm3Jzs7m3LlzNGjQAAAjIyMCAwMJCwvDxsaGmjVrMmfOHAA+/vhjZa6Xlxc9evRQHog3cuRIWrduTWRkJF27diUuLo4TJ06wfPlytT0PHDhAx44dn/UxCSHEWy0lomtFhyCEEEIIISqYnBAWQoh3SGhoKGPGjGHy5Mk4OzvTu3dvbt68CcCHH37IZ599RlBQEI0bN+bQoUOEhoYWW6Nu3br07NmTLl260LFjRxo1asSSJUvK3FdPT4/du3eTkZGBu7s7H330EV5eXkRFRSljvvrqK27fvo2bmxv9+/dnxIgRVKtWTW2dyMhI9uzZg42NjXLa1tvbm23btvHf//4Xd3d3mjdvzvz588s81WtmZkaPHj1YvXq1WvucOXPo06cP/fv3x93dnStXrvDjjz9SpUoVZczly5fVTi63aNGC2NhYli9fjouLC+vWrWPTpk1Kohngr7/+4tChQwwcOLDM+ySEEEIIIYQQQrztVEVP/ntbIYQQ/9PCw8PZtGkTJ0+erOhQXtrp06fp0KEDly9fxsDA4LXuNX78eG7fvl3s1HBZsrKyMDY2JjMzU8pHCCGEEEIIIYR47cr7e6icEBZCCPFOatSoEV988QV//PHHa9+rWrVqTJs27bXvI4QQQgghhBBCvG5SQ1gIIcQ7y9/f/43sM2bMmDeyjxBCCCGEEEII8brJCWEhhPgHCQ8PfyfKRVy4cAFLS0vu3r1b0aGwa9cuGjduTGFhYUWHIoQQQgghhBBCvDRJCAshhHhp+/fvR6VScefOnVeyXkhICMOHD8fQ0BCAhw8f4u/vT8OGDdHU1KR79+6lxuHm5oa2tjZ169YlJibmmXtlZGTg6+uLkZERJiYmDB48mOzsbKW/U6dOVK5cudgD7IQQQgghhBBCiHeRlIwQQghRqtzcXLS0tN7onqmpqWzbto3FixcrbQUFBejq6jJixAjWr19f4rw//viDrl27EhgYyOrVq4mPjycgIAArKyu8vb1L3c/X15e0tDT27NlDXl4eAwcOZOjQocTGxipj/P39WbRoEf379391FyqEEBXAbsL2ig4BgJSIrhUdghBCCCHEP5acEBZCiHdEYWEhs2fPpm7dumhra2Nra8uMGTOU/vHjx+Pg4ICenh61a9cmNDSUvLw8pT88PJzGjRuzbNkybGxs0NPTo1evXmRmZipj/P396d69OzNmzMDa2hpHR0cAvv32W5o0aYKhoSGWlpb069ePmzdvApCSkkLbtm0BqFKlCiqVSqntW1hYyKxZs6hVqxa6urq4uLiwbt26Mq9zzZo1uLi4UL16daVNX1+fL7/8kiFDhmBpaVnivKVLl1KrVi0iIyNxdnYmKCiIjz76iPnz55e6V3JyMrt27WLlypU0a9aMli1bsnjxYuLi4rh27ZoyzsfHhxMnTnD58uUyYxdCCCGEEEIIId52khAWQoh3REhICBEREYSGhpKUlERsbCwWFhZKv6GhITExMSQlJbFw4UJWrFhRLBl66dIl1qxZw9atW9m1axe//vorn376qdqY+Ph4Lly4wJ49e9i2bRsAeXl5TJs2jVOnTrFp0yZSUlKUpK+NjY1yavfChQukpaWxcOFCAGbNmsWqVatYunQp586d47PPPuPf//43P/30U6nXeeDAAZo0afLc9+fw4cO0b99erc3b25vDhw8r72NiYlCpVGpzTExM1PZr3749GhoaHD16VGmztbXFwsKCAwcOlLp/Tk4OWVlZai8hhBBCCCGEEOJtIyUjhBDiHXD37l0WLlxIVFQUfn5+ANSpU4eWLVsqYyZNmqT8bGdnx9ixY4mLiyM4OFhpf/jwIatWrVJO3y5evJiuXbsSGRmpnLzV19dn5cqVaqUiBg0apPxcu3ZtFi1ahLu7O9nZ2RgYGGBqagpAtWrVMDExAR4lSGfOnMnevXvx8PBQ5h48eJBly5bRunXrEq/1ypUrL5QQvn79ulqCHMDCwoKsrCwePHiArq4uxsbGyqnnx3OqVaumNkdTUxNTU1OuX7+u1m5tbc2VK1dK3X/WrFlMmTLlueMWQgghhBBCCCHeJDkhLIQQ74Dk5GRycnLw8vIqdcwPP/yAp6cnlpaWGBgYMGnSJFJTU9XG2NraqpVi8PDwoLCwkAsXLihtDRs2LFY3ODExER8fH2xtbTE0NFSSuU+v/6RLly5x//59OnTogIGBgfJatWpVmaUXHjx4gI6OTqn9L6NHjx6cP3/+hebq6upy//79UvtDQkLIzMxUXlevXn3RMIUQQgghhBBCiNdGTggLIcQ7QFdXt8z+w4cP4+vry5QpU/D29sbY2Ji4uDgiIyOfey99fX219/fu3cPb2xtvb29Wr16Nubk5qampeHt7k5ubW+o62dnZAGzfvl0tCQ2gra1d6ryqVaty+/bt547b0tKSGzduqLXduHEDIyOjUu+fpaWlUgv5sfz8fDIyMorVKs7IyMDc3LzU/bW1tcu8LiGEEEIIIYQQ4m0gCWEhhHgH2Nvbo6urS3x8PAEBAcX6Dx06RM2aNZk4caLSVlJ5g9TUVK5du4a1tTUAR44cQUNDQ62MwtPOnz/P33//TUREBDY2NgCcOHFCbczjE8UFBQVKW7169dDW1iY1NbXU8hAlcXV1JSkpqdzjH/Pw8GDHjh1qbXv27FHKVZQ2586dOyQmJvLee+8B8OOPP1JYWEizZs2UcQ8fPuTy5cu4uro+d1xCCCGEEEIIIcTbRBLCQgjxDtDR0WH8+PEEBwejpaWFp6cn6enpnDt3jsGDB2Nvb09qaipxcXG4u7uzfft2Nm7cWOI6fn5+zJ07l6ysLEaMGEGvXr2KnYZ9kq2tLVpaWixevJjAwEDOnj3LtGnT1MbUrFkTlUrFtm3b6NKlC7q6uhgaGjJ27Fg+++wzCgsLadmyJZmZmSQkJGBkZKTUQn6at7c3AQEBFBQUUKlSJaU9KSmJ3NxcMjIyuHv3LidPngSgcePGAAQGBhIVFUVwcDCDBg3ixx9/ZM2aNWzfvl1ZY+PGjYSEhChlI5ydnenUqRNDhgxh6dKl5OXlERQURJ8+fZSkOTxKnGtra5eZXBZCiHdBSkTXig5BCCGEEEJUMKkhLIQQ74jQ0FDGjBnD5MmTcXZ2pnfv3kq5gw8//JDPPvuMoKAgGjduzKFDhwgNDS22Rt26denZsyddunShY8eONGrUiCVLlpS5r7m5OTExMaxdu5Z69eoRERHB3Llz1cZUr16dKVOmMGHCBCwsLAgKCgJg2rRphIaGMmvWLCX5un37dmrVqlXqfp07d0ZTU5O9e/eqtXfp0gVXV1e2bt3K/v37cXV1VTuxW6tWLbZv386ePXtwcXEhMjKSlStX4u3trYzJzMxUq5cMsHr1apycnPDy8qJLly60bNmS5cuXq435/vvv8fX1RU9Pr8x7JYQQQgghhBBCvO1URUVFRRUdhBBCiNcvPDycTZs2KSdr32b/+c9/2LJlC7t3767oULh16xaOjo6cOHGizET207KysjA2NiYzMxMjI6PXGKEQQgghhBBCCFH+30OlZIQQQoi3zieffMKdO3e4e/cuhoaGFRpLSkoKS5Ysea5ksBBCCCGEEEII8baShLAQQoi3jqamptoD8ipSkyZNaNKkSUWHIYQQQgghhBBCvBJSQ1gI8Y/Vpk0bRo0aVdFhPJeYmBhMTExeaG54ePgrLRehUqnYtGlTmWP8/f3p3r37K9uzLF999RUdO3Z85eveunWLatWq8eeff77ytYUQQgghhBBCiDdNEsJCCPESUlJSUKlU70Rd3lctLS2Nzp07A6Xfh4ULFxITE/PaY3n48CGhoaGEhYWptWdlZTFx4kScnJzQ0dHB0tKS9u3bs2HDBkoqoR8YGIhKpWLBggVKW9WqVRkwYECxtYUQQgghhBBCiHeRlIwQQoi3QEFBASqVCg2Niv07XVFREQUFBWhqPvv/HiwtLZ85xtjY+FWE9Uzr1q3DyMgIT09Ppe3OnTu0bNmSzMxMpk+fjru7O5qamvz0008EBwfTrl07tdPWGzdu5MiRI1hbWxdbf+DAgbz33nvMmTMHU1PTN3FJQogKZjdhe0WH8FqkRHSt6BCEEEIIIUQFkxPCQoh/tPz8fIKCgjA2NqZq1aqEhoaqnRwtqSyCiYmJcur18YPGXF1dUalUtGnThp9//pnKlStz/fp1tXmjRo2iVatWwP+VftiyZQv16tVDW1ubgwcPPnNeSbZu3Yq7uzs6OjpUrVqVHj16KH3ffvstTZo0wdDQEEtLS/r168fNmzeV/v3796NSqdi5cyfvvfeeEkebNm0YMWIEwcHBmJqaYmlpSXh4uNq+T96bku4DFC8ZUZ5179y5Q0BAAObm5hgZGdGuXTtOnTpV6vUDxMXF4ePjo9b2+eefk5KSwtGjR/Hz86NevXo4ODgwZMgQTp48iYGBgTL2r7/+Yvjw4axevZrKlSsXW79+/fpYW1uzcePGMuMQQgghhBBCCCHedpIQFkL8o33zzTdoampy7NgxFi5cyLx581i5cmW55x87dgyAvXv3kpaWxoYNG3j//fepXbs23377rTIuLy+P1atXM2jQIKXt/v37fPHFF6xcuZJz587RpEmTcs170vbt2+nRowddunTh119/JT4+nqZNm6rNnzZtGqdOnWLTpk2kpKTg7+9fbJ0JEyYQERFBcnIyjRo1Uu6Nvr4+R48eZfbs2UydOpU9e/aU+z6U5lnrfvzxx9y8eZOdO3eSmJiIm5sbXl5eZGRklLrmwYMH1R78VlhYSFxcHL6+viWe+DUwMFBOQRcWFtK/f3/GjRtH/fr1S92jadOmHDhwoNT+nJwcsrKy1F5CCCGEEEIIIcTbRkpGCCH+0WxsbJg/fz4qlQpHR0fOnDnD/PnzGTJkSLnmm5ubA2BmZqZWQmHw4MFER0czbtw44NEp3ocPH9KrVy9lTF5eHkuWLMHFxeW55j1pxowZ9OnThylTpihtT673ZCK5du3aLFq0CHd3d7Kzs9VOyE6dOpUOHTqord2oUSOlbq69vT1RUVHEx8cXG1fWfShJWesePHiQY8eOcfPmTbS1tQGYO3cumzZtYt26dQwdOrTYenfu3CEzM1Mt8Xvr1i1u376Nk5NTmbEAfPHFF2hqajJixIgyx1lbW/Prr7+W2j9r1iy1z0EIIYQQQgghhHgbyQlhIcQ/WvPmzVGpVMp7Dw8PLl68SEFBwUut6+/vz6VLlzhy5AjwqEREr1690NfXV8ZoaWkpp3GfZ96TTp48iZeXV6lxJCYm4uPjg62tLYaGhrRu3RqA1NRUtXFPnq597OnYrKys1MpNvKiy1j116hTZ2dmYmZlhYGCgvP744w8uX75c4noPHjwAQEdHR2kr6YFxJUlMTFQefPfk96Akurq63L9/v9T+kJAQMjMzldfVq1fLFYMQQgghhBBCCPEmyQlhIYQog0qlKpZczMvLe+a8atWq4ePjQ3R0NLVq1WLnzp3s379fbYyurm6xJGR55j29Rmnu3buHt7c33t7erF69GnNzc1JTU/H29iY3N1dtbEkJ56dr6apUKgoLC0vdr7zKWjc7OxsrK6sSr/nJB8A9yczMDJVKxe3bt5U2c3NzTExMOH/+fJmxHDhwgJs3b2Jra6u0FRQUMGbMGBYsWEBKSorSnpGRoZyELom2trZyqlkIIYQQQgghhHhbSUJYCPGPdvToUbX3R44cwd7enkqVKgGPEotpaWlK/8WLF9VOiWppaQGUeKI4ICCAvn37UqNGDerUqYOnp2e5YnqeeY0aNSI+Pp6BAwcW6zt//jx///03ERER2NjYAHDixIlyxfC8yroPz8PNzY3r16+jqamJnZ1dufeuV68eSUlJdOzYEQANDQ369OnDt99+S1hYWLE6wtnZ2ejo6NC/f3/at2+v1uft7U3//v2L3dOzZ88qD8sTQgghhBBCCCHeVZIQFkL8o6WmpjJ69Gg++eQTfvnlFxYvXkxkZKTS365dO6KiovDw8KCgoIDx48ernXCtVq0aurq67Nq1ixo1aqCjo4OxsTHwKLFoZGTE9OnTmTp1arljep55YWFheHl5UadOHfr06UN+fj47duxg/Pjx2NraoqWlxeLFiwkMDOTs2bNMmzbtOe9Q+ZR1H55H+/bt8fDwoHv37syePRsHBweuXbumPDyvpNIW8OieHTx4kFGjRiltM2bMYP/+/TRr1owZM2bQpEkTKleuzIEDB5g1axbHjx/HzMwMMzMztbUqV66MpaUljo6OStv9+/dJTExk5syZz31NQoh3U0pE14oOQQghhBBCiNdCaggLIf7RBgwYwIMHD2jatCnDhg1j5MiRag8ui4yMxMbGhlatWtGvXz/Gjh2Lnp6e0q+pqcmiRYtYtmwZ1tbWdOvWTenT0NDA39+fgoICBgwYUO6YnmdemzZtWLt2LVu2bKFx48a0a9eOY8eOAY9ON8fExLB27Vrq1atHREQEc+fOLXccz6Os+/A8VCoVO3bs4P3332fgwIE4ODjQp08frly5goWFRanzBg8ezI4dO8jMzFTaTE1NOXLkCP/+97+ZPn06rq6utGrViu+//545c+Y8V8J68+bN2Nra0qpVqxe6LiGEEEIIIYQQ4m2hKirvk3eEEEI8t8GDB5Oens6WLVveyLx/so8//hg3NzdCQkJe+drNmzdnxIgR9OvXr9xzsrKyMDY2JjMzEyMjo1cekxBCCCGEEEII8aTy/h4qJSOEEOI1yMzM5MyZM8TGxj5XUvdF5wmYM2cOW7dufeXr3rp1i549e9K3b99XvrYQQgghhBBCCPGmyQlhIYR4Ddq0acOxY8f45JNPmD9//mufJ94+ckJYCCGEEEIIIcSbVN7fQ6WGsBBPaNOmjdpDqV5ETEwMJiYmrySe183f35/u3bu/tvXLcy9edwwVZf/+/dy/f79YUvfpexIeHk7jxo2fOa883n//fWJjY8sco1Kp2LRp03Ov/b9u165dNG7cmMLCwooORQghhBBCCCGEeK0kISyEqFALFy4kJiamosOoMGPHjiU+Pv6l19myZQs3btygT58+zzVvxowZtGjRAj09vVKT98ePH8fLywsTExOqVKmCt7c3p06dKnPdn3/+GR8fH6ytrZ+ZhG7bti0rV67k1KlT9O3bFxsbG3R1dXF2dmbhwoVqYzds2ECHDh0wNzfHyMgIDw8Pdu/e/czrzMjIwNfXFyMjI0xMTBg8eDDZ2dlKf6dOnahcuTKrV68uNjclJQV/f/9n7iGEEEIIIYQQQrwLpIawEKJCGRsbV3QIFcrAwAADA4OXXmfRokUMHDgQDY3n+ztfbm4uH3/8MR4eHnz11VfF+rOzs+nUqRMffvghS5YsIT8/n7CwMLy9vbl69SqVK1cucd179+7h4uLCoEGD6NmzZ6n7Z2RkkJCQQFxcHNu3b6datWp899132NjYcOjQIYYOHUqlSpUICgoCHiWaO3TowMyZMzExMSE6OhofHx+OHj2Kq6trqfv4+vqSlpbGnj17yMvLY+DAgQwdOlTtRLW/vz+LFi2if//+AKxevZrmzZtTqVIlAIqKiliyZAn9+vWjSpUqz765Qoh/HLsJ2ys6hGdKieha0SEIIYQQQogKJieEhXhKfn4+QUFBGBsbU7VqVUJDQ3my1HZOTg5jx46levXq6Ovr06xZM/bv319snd27d+Ps7IyBgQGdOnUiLS1NrX/lypU4Ozujo6ODk5MTS5YsUfpSUlJQqVRs2LCBtm3boqenh4uLC4cPH1ZbY/369dSvXx9tbW3s7OyIjIxU+qZOnUqDBg2KxdW4cWNCQ0PLdS+uXLmCj48PVapUQV9fn/r167Njxw7gUWkDlUrF9u3badSoETo6OjRv3pyzZ88+1714umREmzZtGDFiBMHBwZiammJpaUl4eLjaeufPn6dly5bo6OhQr1499u7dW+wU6pkzZ2jXrh26urqYmZkxdOhQtROhj/edOXMmFhYWmJiYMHXqVPLz8xk3bhympqbUqFGD6OhoZU67du2UxORj6enpaGlpKad8y/v9eOzpkhGP45o7dy5WVlaYmZkxbNgw8vLySl0jPT2dH3/8ER8fH7X2ixcv8v777yv3ac+ePcXmTpkyhc8++4yGDRuWuPb58+fJyMhg6tSpODo6Ur9+fcLCwrhx4wZXrlwpNabOnTszffp0evToUeoYgO3bt+Pm5oaFhQWDBg1i4cKFtG7dmtq1a/Pvf/+bgQMHsmHDBmX8ggULCA4Oxt3dHXt7e2bOnIm9vX2ZD5NLTk5m165drFy5kmbNmtGyZUsWL15MXFwc165dU8b5+Phw4sQJLl++DECtWrXw8/Nj6dKl/Pnnn3Tq1Im//voLbW3tMq9JCCGEEEIIIYR4m0lCWIinfPPNN2hqanLs2DEWLlzIvHnzWLlypdIfFBTE4cOHiYuL4/Tp03z88cd06tSJixcvKmPu37/P3Llz+fbbb/n5559JTU1l7NixSv/q1auZPHkyM2bMIDk5mZkzZxIaGso333yjFsvEiRMZO3YsJ0+exMHBgb59+5Kfnw9AYmIivXr1ok+fPpw5c4bw8HBCQ0OV8guDBg0iOTmZ48ePK+v9+uuvnD59moEDB5brXgwbNoycnBx+/vlnzpw5wxdffFHsNOu4ceOIjIzk+PHjmJub4+Pjo5a8fNa9KO0z0NfX5+jRo8yePZupU6cqycyCggK6d++Onp4eR48eZfny5UycOFFt/r179/D29qZKlSocP36ctWvXsnfv3mLJ3B9//JFr167x888/M2/ePMLCwvjggw+oUqUKR48eJTAwkE8++YQ///wTgICAAGJjY8nJyVHW+O6776hevTrt2rUDyvf9eJZ9+/Zx+fJl9u3bxzfffENMTEyZZTUOHjyInp4ezs7OSlthYSE9e/ZES0uLo0ePsnTpUsaPH1/uGB5zdHTEzMyMr776itzcXB48eMBXX32Fs7MzdnZ2yjiVSvVCpT+2bNlCt27dSu3PzMzE1NS01P7CwkLu3r2rNiYmJgaVSqW8P3z4MCYmJjRp0kRpa9++PRoaGhw9elRps7W1xcLCggMHDgDQokUL9u3bx+HDh9m/fz+jRo1i5syZ6OnplRhLTk4OWVlZai8hhBBCCCGEEOJtIwlhIZ5iY2PD/PnzcXR0xNfXl+HDhysP+EpNTSU6Opq1a9fSqlUr6tSpw9ixY2nZsqXaSdK8vDyWLl1KkyZNcHNzIygoSK1ObFhYGJGRkfTs2ZNatWrRs2dPPvvsM5YtW6YWy9ixY+natSsODg5MmTKFK1eucOnSJQDmzZuHl5cXoaGhODg44O/vT1BQEHPmzAGgRo0aeHt7q8UVHR2tnL4sj9TUVDw9PWnYsCG1a9fmgw8+4P3331cbExYWRocOHWjYsCHffPMNN27cYOPGjeW+FyVp1KgRYWFh2NvbM2DAAJo0aaLM2bNnD5cvX2bVqlW4uLjQsmVLZsyYoTY/NjaWhw8fsmrVKho0aEC7du2Iiori22+/5caNG8o4U1NTFi1ahKOjI4MGDcLR0ZH79+/z+eefY29vT0hICFpaWhw8eBBAKX2wefNmZY2YmBj8/f1RqVTl/n48S5UqVYiKisLJyYkPPviArl27lnnPrly5goWFhVq5iL1793L+/HnlPr3//vvMnDmz3DE8ZmhoyP79+/nuu+/Q1dXFwMCAXbt2sXPnTjQ1/6/qkKOj43OX/8jJyWHXrl18+OGHJfYfOnSIH374gaFDh5a6xty5c8nOzqZXr15Km7GxMY6Ojsr769evU61aNbV5mpqamJqacv36dbV2a2tr5eTz0aNH8fLywsPDgzZt2rBgwQImT57Mw4cPS4xl1qxZGBsbKy8bG5uyb4AQQgghhBBCCFEBJCEsxFOaN2+udrrQw8ODixcvUlBQwJkzZygoKMDBwUGp/WpgYMBPP/2k/DNzAD09PerUqaO8t7Ky4ubNm8Cj06uXL19m8ODBamtMnz5dbQ14lBh9cg1AWSc5ORlPT0+18Z6enkqsAEOGDOH777/n4cOH5ObmEhsby6BBg8p9L0aMGMH06dPx9PQkLCyM06dPFxvj4eGh/GxqaoqjoyPJycnluhelefK6n55z4cIFbGxssLS0VPqbNm2qNj45ORkXFxf09fWVNk9PTwoLC7lw4YLSVr9+fbUkqoWFhVrphEqVKmFmZqbsraOjQ//+/fn6668B+OWXXzh79qzywLHyfj+epX79+krd2qevvyQPHjxAR0en2D2wsbHB2tpaaXvysyqvBw8eMHjwYDw9PTly5AgJCQk0aNCArl278uDBA2Xc+fPnn1ke4mk//vgj1apVo379+sX6zp49S7du3QgLC6Njx44lzo+NjWXKlCmsWbNGLeHbo0cPzp8//1yxPKarq8v9+/eBRyU3oqOjCQwMpEaNGuzatQsLCwul/2khISFkZmYqr6tXr75QDEIIIYQQQgghxOskD5UT4jlkZ2dTqVIlEhMT1RJ2gFophacftKVSqZQ6xI/r2K5YsYJmzZqpjXt6zSfXeZykLiwsLHe8Pj4+aGtrs3HjRrS0tMjLy+Ojjz4q9/yAgAC8vb3Zvn07//3vf5k1axaRkZEMHz683GuUdS+eZ87zXPfLxPasvQMCAmjcuDF//vkn0dHRtGvXjpo1awLl/368SFxlXX/VqlW5fft2udd/HrGxsaSkpHD48GEleR4bG0uVKlXYvHkzffr0eeG1t2zZUuLp4KSkJLy8vBg6dCiTJk0qcW5cXBwBAQGsXbuW9u3bl7mPpaVlsYR6fn4+GRkZan9YgEcPuTM3Nwfg3//+N/Copjc8+hyGDRtW6j7a2tpSX1gIIYQQQgghxFtPEsJCPOXJmqIAR44cwd7enkqVKuHq6kpBQQE3b96kVatWL7S+hYUF1tbW/P777/j6+r5wnM7OziQkJKi1JSQk4ODgoCQjNTU18fPzIzo6Gi0tLfr06YOuru5z7WNjY0NgYCCBgYGEhISwYsUKtYTwkSNHsLW1BeD27dv89ttvarVsXzVHR0euXr3KjRs3sLCwAFCrkwyP7k1MTAz37t1TTgknJCSgoaGhVkrgRTRs2JAmTZqwYsUKYmNjiYqKUvpexffjRbi6unL9+nVu375NlSpVgEf34OrVq6SlpSmny48cOfLca9+/fx8NDQ21U/OP379Mkr6oqIitW7fy3XffqbWfO3eOdu3a4efnV6wUyGPff/89gwYNIi4ujq5duz5zLw8PD+7cuUNiYiLvvfce8Oh0cmFhodofZR4+fMjly5dxdXVVm29nZ/dC9ZGFEEIIIYQQQoi3kSSEhXhKamoqo0eP5pNPPuGXX35h8eLFREZGAuDg4ICvry8DBgwgMjISV1dX0tPTiY+Pp1GjRuVKTgFMmTKFESNGYGxsTKdOncjJyeHEiRPcvn2b0aNHl2uNMWPG4O7uzrRp0+jduzeHDx8mKiqKJUuWqI0LCAhQErRPJ5CfZdSoUXTu3BkHBwdu377Nvn37iiV7p06dipmZGRYWFkycOJGqVavSvXv359rneXTo0IE6derg5+fH7NmzuXv3rnKK9HHS0tfXl7CwMPz8/AgPDyc9PZ3hw4fTv39/JYn8MgICAggKCkJfX1+tTMKr+n48L1dXV6pWrUpCQgIffPAB8OihaQ4ODvj5+TFnzhyysrKKPXwPHn3fMzIySE1NpaCggJMnTwJQt25dDAwM6NChA+PGjWPYsGEMHz6cwsJCIiIi0NTUpG3btso6Tk5OzJo1S7kf2dnZSr1rgD/++IOTJ09iamqKra0tiYmJ3L9/n5YtWypjzp49S7t27fD29mb06NFKfd9KlSopp3ZjY2Px8/Nj4cKFNGvWTBmjq6ur1DDeuHEjISEhStkIZ2dnOnXqxJAhQ1i6dCl5eXkEBQXRp08ftZIaR44cQVtb+4VKawghBEBKxOv533khhBBCCCFeJakhLMRTBgwYwIMHD2jatCnDhg1j5MiRag+1io6OZsCAAYwZMwZHR0e6d+/O8ePHlVOy5REQEMDKlSuJjo6mYcOGtG7dmpiYGGrVqlXuNdzc3FizZg1xcXE0aNCAyZMnM3XqVKWe7WP29va0aNECJyenYiUqnqWgoIBhw4YpCTUHB4diCeeIiAhGjhzJe++9x/Xr19m6dStaWlrPtc/zqFSpEps2bSI7Oxt3d3cCAgKUROfjOrp6enrs3r2bjIwM3N3d+eijj/Dy8lI7zfsy+vbti6amJn379i1Wu/dVfD+eV6VKlRg4cCCrV69W2jQ0NNi4caPyXQ4ICCjxxO3kyZNxdXUlLCyM7OxsXF1dcXV15cSJE8CjRO/WrVs5ffo0Hh4etGrVimvXrrFr1y7l5DE8qu2cmZmpvD9x4oSyFsDo0aNxdXVl8uTJwKMH83Xp0kXtwXTr1q0jPT2d7777DisrK+Xl7u6ujFm+fDn5+fkMGzZMbczIkSOVMZmZmWq1ogFWr16Nk5MTXl5edOnShZYtW7J8+XK1Md9//z2+vr7o6emV/+YLIYQQQgghhBDvGFXRs4p5CiHeaUVFRdjb2/Ppp5+W+/Rxeezfv5+2bdty+/ZtTExMXtm6LyIhIYGWLVty6dIltQfYvS4pKSnUqVOH48eP4+bm9tr3K4/r169Tv359fvnlF6Wm8dusUaNGTJo0iV69elV0KADcunULR0dHTpw48Vx/mClLVlYWxsbGZGZmYmRk9ErWFEIIIYQQQgghSlPe30OlZIQQ/8PS09OJi4vj+vXrDBw4sKLDeWU2btyIgYEB9vb2XLp0iZEjR+Lp6fnak8F5eXn8/fffTJo0iebNm781yWB49OC0r776itTU1Lc+IZybm8u//vUvOnfuXNGhKFJSUliyZMkrSwYLIYQQQgghhBBvK0kIC/E/rFq1alStWpXly5crDxv7X3D37l3Gjx9PamoqVatWpX379kqd59cpISGBtm3b4uDgwLp16177fs/rddZufpW0tLQICwur6DDUNGnShCZNmlR0GEIIIYQQQgghxGsnNYTFS2nTpg2jRo16qTViYmIqvORAefn7+z930u3p6wsPD6dx48YvtWZ5+Pv7061bN9LT0+nXr98rX79NmzYUFRU987Mrz3dEpVKxadOmcu89YMAAfvvtNx4+fMiff/5JTEwMZmZm5Z7/oh5f84ULF2jYsOFLrfPkPbGzs2PBggUvHd+FCxewtLTk7t27pY55l/57e9OaN2/O+vXrKzoMIYQQQgghhBDitZKEsBBv2NixY4mPj6/oMN4qaWlpb1X5gDft+PHjag8ufFEhISEMHz4cQ0PDcs9JS0ujX79+ODg4oKGhUWryfsGCBTg6OqKrq4uNjQ2fffYZDx8+LHPtjIwMfH19MTIywsTEhMGDB5OdnV1s3E8//YSNjQ0As2bNwt3dHUNDQ6pVq0b37t3VHhCXkZHB8OHDlVhsbW0ZMWKE2gPtSrN27VqcnJzQ0dGhYcOG7NixQ61/0qRJTJgwgcLCwmJz/f39SUlJeeYeQgghhBBCCCHE205KRgjxhhkYGGBgYFDRYZCbm4uWllZFhwE8qn/7T2Zubv7Sa6SmprJt2zYWL178XPNycnIwNzdn0qRJzJ8/v8QxsbGxTJgwga+//poWLVrw22+/4e/vj0qlYt68eaWu7evrS1paGnv27CEvL4+BAwcydOhQYmNj1cZt3rwZHx8f4FFyeNiwYbi7u5Ofn8/nn39Ox44dSUpKQl9fn2vXrnHt2jXmzp1LvXr1uHLlCoGBgVy7dq3MMh6HDh2ib9++zJo1iw8++IDY2Fi6d+/OL7/8QoMGDQDo3LkzAQEB7Ny5k65du5KRkcH333/Pp59+qqxz+fJljhw5gq+vb7nvsRDin81uwvaKDkFNSkTXig5BCCGEEEJUMDkhLF5afn4+QUFBGBsbU7VqVUJDQykqKlL6c3JyGDt2LNWrV0dfX59mzZqxf//+Yuvs3r0bZ2dnDAwM6NSpE2lpaWr9K1euxNnZGR0dHZycnFiyZInSl5KSgkqlYsOGDbRt2xY9PT1cXFw4fPiw2hrr16+nfv36aGtrY2dnp1Z3durUqUpi6EmNGzcmNDS03PcjJiYGW1tb9PT06NGjB3///bda/9MlIx6bO3cuVlZWmJmZMWzYMPLy8sodV0FBAaNHj8bExAQzMzOCg4PVPgN4VKYgKCiIUaNGUbVqVby9vYFHCbimTZuira2NlZUVEyZMID8/X5m3bt06GjZsiK6uLmZmZrRv35579+4B/1fuYsqUKZibm2NkZERgYCC5ublqexcWFhIcHIypqSmWlpaEh4er9T9ZMqK8n+WKFSuwsbFR7vO8efOKlUL48ssvqVOnDlpaWjg6OvLtt98W23fZsmV88MEH6Onp4ezszOHDh7l06RJt2rRBX1+fFi1acPnyZSU2DQ0NTpw4obbOggULqFmzpnKy9OzZs3Tu3BkDAwMsLCzo378/t27dKvYZPvZ0yQiVSsXKlSvp0aMHenp62Nvbs2XLllLnA6xZswYXFxeqV6+u1v6s76OdnR0LFy5kwIABGBsbl7j2oUOH8PT0pF+/ftjZ2dGxY0f69u3LsWPHSo0nOTmZXbt2sXLlSpo1a0bLli1ZvHgxcXFxXLt2TW3sli1b+PDDDwHYtWsX/v7+1K9fHxcXF2JiYkhNTSUxMRGABg0asH79enx8fKhTpw7t2rVjxowZbN26Ve17+7SFCxfSqVMnxo0bh7OzM9OmTcPNzY2oqChlTKVKlejSpQtxcXEA6Ojo8Ndff9GpUyf+/PNPli5dir+/vzx4TgghhBBCCCHEO00SwuKlffPNN2hqanLs2DEWLlzIvHnzWLlypdIfFBTE4cOHiYuL4/Tp03z88cd06tSJixcvKmPu37/P3Llz+fbbb/n5559JTU1l7NixSv/q1auZPHkyM2bMIDk5mZkzZxIaGso333yjFsvEiRMZO3YsJ0+exMHBgb59+ypJosTERHr16kWfPn04c+YM4eHhhIaGEhMTA8CgQYNITk7m+PHjynq//vorp0+fZuDAgeW6F0ePHmXw4MEEBQVx8uRJ2rZty/Tp0585b9++fVy+fJl9+/bxzTffEBMT81xxRUZGEhMTw9dff83BgwfJyMhg48aNxfb55ptv0NLSIiEhgaVLl/LXX3/RpUsX3N3dOXXqFF9++SVfffWVEnNaWhp9+/ZVYti/fz89e/ZUSzbHx8crfd9//z0bNmxgypQpxfbV19fn6NGjzJ49m6lTp7Jnz54y70lZn2VCQgKBgYGMHDmSkydP0qFDB2bMmKE2f+PGjYwcOZIxY8Zw9uxZPvnkEwYOHMi+ffvUxk2bNo0BAwZw8uRJnJyc6NevH5988gkhISGcOHGCoqIigoKCgEfJ0/bt2xMdHa22RnR0NP7+/mhoaHDnzh3atWuHq6srJ06cYNeuXdy4cYNevXqVeb1PmzJlCr169eL06dN06dIFX19fMjIySh1/4MCBYg9Fe9Hv49NatGhBYmKikgD+/fff2bFjB126dFHGxMTEoFKplPeHDx/GxMRELab27dujoaHB0aNHlbZz585x8+ZN2rVrV+Lej0tBmJqalhpfZmYmRkZGaGr+3z96sbOzU/vDw+HDh2nfvr3aPG9v72J/aGjatCkHDhwAQE9Pj5kzZzJy5Ej279/PkSNH+PHHH2nRokWJceTk5JCVlaX2EkIIIYQQQggh3jZSMkK8NBsbG+bPn49KpcLR0ZEzZ84wf/58hgwZQmpqKtHR0aSmpmJtbQ08qqG7a9cuoqOjmTlzJgB5eXksXbqUOnXqAI+SyFOnTlX2CAsLIzIykp49ewJQq1YtkpKSWLZsGX5+fsq4sWPH0rXro38KOWXKFOrXr8+lS5dwcnJi3rx5eHl5KadqHRwcSEpKYs6cOfj7+1OjRg28vb2Jjo7G3d0deJToa926NbVr1y7XvXh8CjE4OFjZ49ChQ+zatavMeVWqVCEqKopKlSrh5ORE165diY+PZ8iQIeWKa8GCBYSEhCj3Z+nSpezevbvYPvb29syePVt5P3HiRGxsbIiKikKlUuHk5MS1a9cYP348kydPJi0tjfz8fHr27EnNmjUBij1MTUtLi6+//ho9PT3q16/P1KlTGTduHNOmTUND49HfnBo1akRYWJgSQ1RUFPHx8XTo0KHUe1LWZ7l48WI6d+6s/NHg8X3etm2bMn/u3Ln4+/sr/9x/9OjRHDlyhLlz59K2bVtl3MCBA5Vk7fjx4/Hw8CA0NFQ5QT1y5Ei1PwgEBAQQGBjIvHnz0NbW5pdffuHMmTNs3rwZgKioKFxdXZXvNsDXX3+NjY0Nv/32Gw4ODqVe85P8/f3p27cvADNnzmTRokUcO3aMTp06lTj+ypUrxRLCL/p9fFq/fv24desWLVu2pKioiPz8fAIDA/n888+VMcbGxjg6Oirvr1+/TrVq1dTW0dTUxNTUlOvXryttmzdvxtvbu8TyJYWFhYwaNQpPT88ST8kD3Lp1i2nTphWrwVynTh2qVq2qFo+FhYXaGAsLC7VYAKytrbl69SqFhYXk5uYyc+ZMjh49Sps2bWjSpAnt27dnzpw5NG3atFgss2bNKvbHECGEEEIIIYQQ4m0jJ4TFS2vevLnayUAPDw8uXrxIQUEBZ86coaCgAAcHB6V2roGBAT/99JPyz/Dh0Um8x8lgACsrK27evAnAvXv3uHz5MoMHD1ZbY/r06WprwKPE45NrAMo6ycnJeHp6qo339PRUYgUYMmQI33//PQ8fPiQ3N5fY2FgGDRpU7nuRnJxMs2bN1No8PDyeOa9+/fpUqlRJLfbHcT8rrszMTNLS0tT21dTULJYcBHjvvfeKxevh4aH2+Xl6epKdnc2ff/6Ji4sLXl5eNGzYkI8//pgVK1Zw+/ZttTVcXFzQ09NTu97s7GyuXr2qtD35uZR0fSUp67O8cOFCsYTc0+9L+7yTk5NL3edxwvDJpLeFhQUPHz5UTnt2796dSpUqKSewY2JiaNu2LXZ2dgCcOnWKffv2qX1XnZycAIp9X8t7/fr6+hgZGZV5zx48eICOjo5a24t+H5+2f/9+Zs6cyZIlS/jll1/YsGED27dvZ9q0acqYHj16cP78+edee/PmzUq5iKcNGzaMs2fPKiUcnpaVlUXXrl2pV69esTIk8fHxysnu56Grq0thYSE5OTncv38fCwsLdu3aRY0aNQgMDOTrr7/mt99+K3FuSEgImZmZyuvJ/waEEEIIIYQQQoi3hZwQFq9VdnY2lSpVIjExUS3hCag9WK1y5cpqfSqVSilLkJ2dDTyqGft0cuvpNZ9c53GS83Fd1/Lw8fFBW1ubjRs3oqWlRV5eHh999FG557+okq7/ybhfVVz6+vrPNb5SpUrs2bOHQ4cO8d///pfFixczceJEjh49+lx1VJ91fc+a8yKf5YvE9nifsvbW0tJiwIABREdH07NnT2JjY1m4cKEyPjs7Gx8fH7744otiez1ObD9vXI/jKOv6q1atWixZ/6qEhobSv39/AgICgEcJ83v37jF06FAmTpyonAR/kqWlZbEEdn5+PhkZGcpDBNPS0vj111+Vk+BPCgoKYtu2bfz888/UqFGjWP/du3fp1KkThoaGbNy4sdj9KimeGzduqLXduHGj2AMNMzIy0NfXR1dXF11dXYYNG6bWX6dOHbU/Xj1JW1sbbW3tMuMQQgghhBBCCCEqmiSExUt7sh4owJEjR7C3t6dSpUq4urpSUFDAzZs3adWq1Qutb2FhgbW1Nb///ju+vr4vHKezszMJCQlqbQkJCTg4OCiJZU1NTfz8/IiOjkZLS4s+ffqgq6v7XHuUdD9eVllxGRsbY2VlxdGjR3n//feBR4m3xMRE3Nzcnhnv+vXrKSoqUhKfCQkJGBoaKkk4lUqFp6cnnp6eTJ48mZo1a7Jx40ZGjx4NPDoR++DBAyWeI0eOYGBggI2NzUtfd2kcHR3VaioDxd4//ryfLCmSkJBAvXr1Xnr/gIAAGjRowJIlS5SSGo+5ubmxfv167Ozs1Gravm6urq4kJSWptb2q7+P9+/eLJX0f/zfz9MMLH/Pw8ODOnTskJiYqJ9N//PFHCgsLlT/sbN26lRYtWqjVBy4qKmL48OFs3LiR/fv3l/iHh6ysLLy9vdHW1mbLli3FTkaXFk98fDyjRo1S2vbs2VPsxPTZs2dxdXUtNv9xTW8hhHheKRHF/+glhBBCCCFERZKEsHhpqampjB49mk8++YRffvmFxYsXExkZCTyqWerr68uAAQOIjIzE1dWV9PR04uPjadSoUYknA0syZcoURowYgbGxMZ06dSInJ4cTJ05w+/ZtJTH5LGPGjMHd3Z1p06bRu3dvDh8+TFRUFEuWLFEbFxAQgLOzM0CxBPKzjBgxAk9PT+bOnUu3bt3YvXv3c9drLU1ZcY0cOZKIiAjs7e2Vesl37tx55pqffvopCxYsYPjw4QQFBXHhwgXCwsIYPXq08vCv+Ph4OnbsSLVq1Th69Cjp6elKHAC5ubkMHjyYSZMmkZKSQlhYGEFBQSWeGn1Vhg8fzvvvv8+8efPw8fHhxx9/ZOfOnWqlL8aNG0evXr1wdXWlffv2bN26lQ0bNrB3796X3t/Z2ZnmzZszfvx4Bg0apPZHg2HDhrFixQr69u1LcHAwpqamXLp0ibi4OFauXFnsVPur4u3tTUBAAAUFBcoe5f0+njx5Enh0ujk9PZ2TJ0+ipaWlJM99fHyYN28erq6uNGvWjEuXLhEaGoqPj4+y18aNGwkJCVHKRjg7O9OpUyeGDBnC0qVLycvLIygoiD59+ij1xLds2VKsXMSwYcOIjY1l8+bNGBoaKjV+jY2N0dXVJSsri44dO3L//n2+++47tYe3mZubK/F4eXnRo0cPpWzEyJEjad26NZGRkXTt2pW4uDhOnDjB8uXL1fY/cOAAHTt2fLkPQwghhBBCCCGEeItJDWHx0gYMGMCDBw9o2rQpw4YNY+TIkWoPeIqOjmbAgAGMGTMGR0dHunfvzvHjx7G1tS33HgEBAaxcuZLo6GgaNmxI69atiYmJea6yBW5ubqxZs4a4uDgaNGjA5MmTmTp1Kv7+/mrj7O3tadGiBU5OTsVKVDxL8+bNWbFiBQsXLsTFxYX//ve/TJo06bnWKE1ZcY0ZM4b+/fvj5+eHh4cHhoaG9OjR45lrVq9enR07dnDs2DFcXFwIDAxUkrsARkZG/Pzzz3Tp0gUHBwcmTZpEZGQknTt3Vtbw8vLC3t6e999/n969e/Phhx8Wq+f6qnl6erJ06VLmzZuHi4sLu3bt4rPPPlM7Kdq9e3cWLlzI3LlzqV+/PsuWLSM6Opo2bdq8khgGDx5Mbm5usRrT1tbWJCQkUFBQQMeOHWnYsCGjRo3CxMTktSbJO3fujKamplrCu7zfR1dXV1xdXUlMTCQ2NhZXV1e6dOmi9E+aNIkxY8YwadIk6tWrx+DBg/H29mbZsmXKmMzMTC5cuKC27urVq3FycsLLy4suXbrQsmVLJQF779494uPjiyWEv/zySzIzM2nTpg1WVlbK64cffgDgl19+4ejRo5w5c4a6deuqjXmyZu/ly5e5deuW8r5FixbExsayfPlyXFxcWLduHZs2bVJ7WN1ff/3FoUOH1B4iKIQQQgghhBBC/K9RFZX2732F+IcqKirC3t6eTz/9tNynj9+EtzEuf39/7ty5w6ZNmyo6FIYMGcL58+c5cODAG9lv2rRprF27ltOnT7+R/crjP//5D1u2bGH37t0VHcozbdiwgUmTJhUrc1GRxo8fz+3bt4udGn5RWVlZGBsbk5mZiZGR0StZUwghhBBCCCGEKE15fw+VkhFCPCE9PZ24uDiuX7/+Vp0SfFvjqkhz586lQ4cO6Ovrs3PnTr755pti5T9eh+zsbFJSUoiKimL69Omvfb/n8cknn3Dnzh3u3r2LoaFhRYdTJgMDgxIfvFeRqlWr9tb8sUUIIYQQQgghhHhdJCEsxBOqVatG1apVWb58OVWqVKnocBRva1wV6dj/Z+/O43JK//+Bv+727nZpWmilm6LNXjFElCVpqKQpGcvHEJGQIZVtLEVhDGIK32YyRmZ8JhNpZEilGtlqQiRLtlLmFkVdvz/8Oh+n9c4gM/N+Ph7349E513Wu7ZzTjHfXfV1nz2L9+vX4888/YWJigs2bN2PatGnvvF5/f3989913GDduXKPlItqbjIwMli5d2t7NkMiHuE7vggUL2rsJhBBCCCGEEELIO0dLRhBCSANpaWlwcHDA48ePoa6u3i5t8PHxgZmZGb744ot2qb89CAQCHDp0COPGjUNxcTGMjY1x7tw5WFtbt2u7Hj16BHNzc/z+++/o3LmzxNfRkhGEEEIIIYQQQt4nWjKCEELeoyFDhsDa2hpRUVF/uazz58/jyJEj+Prrr/96w/6m9PX1UVpaio4dO761Mt80yNyxY0f4+voiNDQUu3fvfmvtIYSQ9mAUnNTeTWikeO3o9m4CIYQQQsi/yrvb8p4QQsgb2bJlC9zd3aGsrNzeTWk30tLS0NHRgYzMh/F3yylTpiA+Ph7l5eXt3RRCCCGEEEIIIeQvoYAwIeRvJzk5GQMHDoS6ujo0NTUxZswYFBUVcelhYWEQCASNPnFxcQCAuro6fPnllzA2NoaioiKsrKzwww8/NFtfWVkZvLy80KlTJwiFQlhYWOC7777j0v38/HDy5ElER0dzdRUXFwMALl26hJEjR0JZWRna2trw8fHBo0ePmq2rtrYWP/zwA1xcXHjnjYyMsGbNGnz22WdQUVGBgYEBdu7cyctz8eJFDB06FIqKitDU1MSMGTMgFot57Rw3bhwiIiKgq6sLTU1NzJ49Gy9evODy7Nu3D3369IGKigp0dHQwadIkPHjwgEtPS0uDQCBAamoq+vTpA6FQCDs7OxQWFvLa8tNPP6FXr15QUFCAiYkJwsPD8fLlSy796tWr+Pjjj6GgoABzc3OkpKTwri8uLoZAIEBeXh537uTJk+jXrx/k5eWhq6uL4OBgXpmtPRfGxsYAABsbGwgEAgwZMoRL27VrF8zMzKCgoIDu3bs32qCwR48e0NPTw6FDh0AIIYQQQgghhPydUUCYEPK38/TpUwQGBiInJwepqamQkpKCm5sb6urqAABBQUEoLS3lPhERERAKhejTpw8A4Msvv8TevXuxfft2XL58GfPnz8enn36KkydPNlnf8+fP0bt3byQlJeHSpUuYMWMGfHx8cPbsWQBAdHQ0bG1tMX36dK5OfX19VFRUYOjQobCxsUFOTg6Sk5Nx//59eHh4NNu3CxcuoLKykmvr6yIjI9GnTx+cO3cOs2bNwueff84FYp8+fQonJydoaGggOzsbBw4cwPHjx+Hv788r48SJEygqKsKJEyewZ88exMXFcYFyAHjx4gVWrlyJ8+fP48cff0RxcTH8/PwatWXp0qWIjIxETk4OZGRkeBvsnTp1Cr6+vggICEB+fj527NiBuLg4rF69GsCrgPwnn3wCOTk5ZGVlYfv27Vi8eHGzYwIAd+7cwahRo9C3b1+cP38eX3/9NXbv3o1Vq1ZxeVp7Lurv1/Hjx1FaWorExEQAQHx8PJYvX47Vq1ejoKAAa9asQUhICPbs2cNrQ79+/XDq1Klm21hdXY0nT57wPoQQQgghhBBCyIeGNpUjhPztPXr0CFpaWrh48SJ69uzJS8vMzISDgwP27NkDDw8PVFdXo0OHDjh+/DhsbW25fNOmTUNVVRW+/fZbiTaVGzNmDLp3746IiAgATa8hvGrVKpw6dQpHjx7lzt2+fRv6+vooLCyESCRqVO6PP/6ICRMm4MWLFxAIBNx5IyMjDBo0CPv27QMAMMago6OD8PBwzJw5EzExMVi8eDFu3boFJSUlAMCRI0fg4uKCu3fvQltbG35+fkhLS0NRURGkpaUBAB4eHpCSkkJCQkKT/czJyUHfvn3x559/QllZmRub48ePY9iwYVw9o0ePxrNnz6CgoABHR0cMGzYMS5Ys4cr5v//7PyxatAh3797FsWPHMHr0aNy8eRN6enoAXs3uHTlyZLObyi1duhQHDx5EQUEBNy7btm3D4sWLUVlZCSmpxn/fbPhcNLeGcNeuXbFy5Up4eXnx7t2RI0dw5swZ7lxgYCDOnTuHEydONDlWYWFhCA8Pb3SeNpUjhHxIaA1hQgghhJB/Lkk3laMZwoSQv52rV6/Cy8sLJiYmUFVVhZGREQCgpKSEl6+kpATjxo1DUFAQNyv32rVrqKqqwvDhw6GsrMx99u7dy1te4HW1tbVYuXIlLCws0KFDBygrK+Po0aON6mvo/PnzOHHiBK+e7t27A0CzdT179gzy8vK8YHA9S0tL7meBQAAdHR1uOYeCggJYWVlxwWAAsLe3R11dHW85hx49enDBYADQ1dXlLQmRm5sLFxcXGBgYQEVFBYMHD+bGsrm26OrqAgBXzvnz57FixQpev+tnT1dVVaGgoAD6+vpcMBgALzjflIKCAtja2vLGxd7eHmKxGLdv3wYg+XPxuqdPn6KoqAhTp07ltXfVqlWN7pGioiKqqqqaLWvJkiWorKzkPrdu3WqxT4QQQgghhBBCSHv4MHbrIYSQNnBxcYGhoSFiYmKgp6eHuro69OzZEzU1NVyep0+fYuzYsbC1tcWKFSu48/Vr6iYlJaFTp068cuXl5Zusb8OGDYiOjkZUVBQsLCygpKSEefPm8eprilgshouLC9atW9corT6I2lDHjh1RVVWFmpoayMnJ8dJkZWV5xwKBgFsOQVItlVG/7ISTkxPi4+OhpaWFkpISODk5Nerr6+XUB2nryxGLxQgPD8cnn3zSqH4FBYU2tbctJHkuGqp/HmJiYtC/f39e2uuBcwAoLy+HlpZWs2XJy8s3+wwRQgghhBBCCCEfCgoIE0L+VsrKylBYWIiYmBgMGjQIAHD69GleHsYYPv30U9TV1WHfvn28WaXm5uaQl5dHSUkJN/u1Nenp6XB1dcWnn34K4FXg88qVKzA3N+fyyMnJoba2lnddr169cPDgQRgZGUFGRrJft/VLGeTn5/OWNWiNmZkZ4uLi8PTpU26WcHp6OqSkpNCtWzeJyvjjjz9QVlaGtWvXQl9fH8CrJSPaqlevXigsLETXrl2bbeutW7dQWlrKBcYzMzNbLNPMzAwHDx4EY4y7n+np6VBRUUHnzp0lei7qA+yv3ydtbW3o6enh+vXr8Pb2brENly5d4m1ERwghf0e0PAMhhBBCCKElIwghfysaGhrQ1NTEzp07ce3aNfz6668IDAzk5QkLC8Px48exY8cOiMVi3Lt3D/fu3cOzZ8+goqKCoKAgzJ8/H3v27EFRURF+//13bNmypdEmYvVMTU2RkpKCM2fOoKCgAP/5z39w//59Xh4jIyNkZWWhuLgYjx49Ql1dHWbPno3y8nJ4eXkhOzsbRUVFOHr0KKZMmdIoeFxPS0sLvXr1ahTMbI23tzcUFBQwefJkXLp0CSdOnMCcOXPg4+MDbW1ticowMDCAnJwctmzZguvXr+Pw4cNYuXJlm9oBAMuXL8fevXsRHh6Oy5cvo6CgAAkJCVi2bBkAwNHRESKRCJMnT8b58+dx6tQpLF26tMUyZ82ahVu3bmHOnDn4448/8NNPPyE0NBSBgYGQkpKS6Ln46KOPoKioyG3uV1lZCQAIDw/Hl19+ic2bN+PKlSu4ePEiYmNjsXHjRu7aqqoq5ObmYsSIEW0eD0IIIYQQQggh5ENCAWFCyN9K/QZoubm56NmzJ+bPn48NGzbw8pw8eRJisRh2dnbQ1dXlPvv37wcArFy5EiEhIfjyyy9hZmYGZ2dnJCUlwdjYuMk6ly1bhl69esHJyQlDhgyBjo4Oxo0bx8sTFBQEaWlpmJubc0st6OnpIT09HbW1tRgxYgQsLCwwb948qKurN7kJWr1p06YhPj6+TeMiFApx9OhRlJeXo2/fvpgwYQKGDRuGrVu3SlyGlpYW4uLicODAAZibm2Pt2rXcpnlt4eTkhJ9//hnHjh1D3759MWDAAGzatAmGhoYAXt3DQ4cO4dmzZ+jXrx+mTZuG1atXt1hmp06dcOTIEZw9exZWVlaYOXMmpk6dygWZJXkuZGRksHnzZuzYsQN6enpwdXUF8Gq8d+3ahdjYWFhYWGDw4MGIi4vjPQ8//fQTDAwMuNnHhBBCCCGEEELI35WAMcbauxGEEEL+59mzZ+jWrRv279/f6mZr5P0YMGAA5s6di0mTJkl8jaS7uxJCCCGEEEIIIW+DpP8OpRnChBDygVFUVMTevXvx6NGj9m4KAfDo0SN88skn8PLyau+mEEIIIYQQQgghfxkFhAkh7aK4uBgCgQB5eXnN5omLi4O6unqL5YSFhbVp87X3xc/Pr9GyEm0xZMgQuLi4/OV2pKWlQSAQoKKiosV8RkZGiIqK+sv1ScLHxwdr1qx5L3W9DQ8ePMDmzZtRVVXV3k0hhBBCCCGEEEL+MgoIE0I+WJ6enrhy5Up7N+Nvzc7ODqWlpVBTUwPQfJA9OzsbM2bMeOftOX/+PI4cOYK5c+fyzl+7dg1TpkxB586dIS8vD2NjY3h5eSEnJwfAqz8gTJ06FcbGxlBUVESXLl0QGhqKmpoaXjkXLlzAoEGDoKCgAH19faxfv17itjHGMHLkSAgEAvz444/ceXNzcwwYMIC3yRwhhBBCCCGEEPJ3JdPeDSCE/P28ePECsrKy77weRUVFKCoqvvN6/o5qamogJyfXaj45OTno6Oi0mk9LS+ttNKtVW7Zsgbu7O5SVlblzOTk5GDZsGHr27IkdO3age/fu+PPPP/HTTz9hwYIFOHnyJP744w/U1dVhx44d6Nq1Ky5duoTp06fj6dOn3MZ3T548wYgRI+Do6Ijt27fj4sWL+Oyzz6Curi5RsDsqKgoCgaDJtClTpmD69OlYsmQJZGToP52EkLYzCk5q7yYAAIrXjm7vJhBCCCGEkHZGM4QJ+ZdLTk7GwIEDoa6uDk1NTYwZMwZFRUVcev3SDvv378fgwYOhoKCA+Ph4lJWVwcvLC506dYJQKISFhQW+++47Xtl1dXVYv349unbtCnl5eRgYGGD16tW8PNevX4eDgwOEQiGsrKyQkZHBpTU1m3Xt2rXQ1taGiooKpk6diufPnzeqc8WKFdxMU2trayQnJzfqT2JiYrP1AsDBgwfRo0cPyMvLw8jICJGRkVzaihUr0LNnz0ZjaW1tjZCQkCbHubWxWLx4MUQiEYRCIUxMTBASEoIXL15w6fVLY+zatQvGxsZQUFAAAAgEAuzatQtubm4QCoUwNTXF4cOHueteXzIiLS0NU6ZMQWVlJQQCAQQCAcLCwgA0XjKitXIB4NKlSxg5ciSUlZWhra0NHx+fFtc9rq2txQ8//MBbCoMxBj8/P5iamuLUqVMYPXo0unTpAmtra4SGhuKnn34CADg7OyM2NhYjRoyAiYkJxo4di6CgICQmJnJlxcfHo6amBt988w169OiBiRMnYu7cuRLN7M3Ly0NkZCS++eabJtOHDx+O8vJynDx5stWyCCGEEEIIIYSQDxkFhAn5l3v69CkCAwORk5OD1NRUSElJwc3NDXV1dbx8wcHBCAgIQEFBAZycnPD8+XP07t0bSUlJuHTpEmbMmAEfHx+cPXuWu2bJkiVYu3YtQkJCkJ+fj2+//Rba2tq8cpcuXYqgoCDk5eVBJBLBy8sLL1++bLKt33//PcLCwrBmzRrk5ORAV1cX27Zt4+WJjo5GZGQkIiIicOHCBTg5OWHs2LG4evWqxPXm5ubCw8MDEydOxMWLFxEWFoaQkBDExcUBAD777DMUFBQgOzubK+/cuXO4cOECpkyZ0mTbWxsLFRUVxMXFIT8/H9HR0YiJicGmTZt4ZVy7dg0HDx5EYmIib+3l8PBweHh44MKFCxg1ahS8vb1RXl7eqA12dnaIioqCqqoqSktLUVpaiqCgoCbb21q5FRUVGDp0KGxsbJCTk4Pk5GTcv38fHh4ezZZ34cIFVFZWok+fPty5vLw8XL58GQsWLICUVOP/JLW0hnRlZSU6dOjAHWdkZODjjz/mzZx2cnJCYWEhHj9+DOB/AfLi4mIuT1VVFSZNmoSvvvqq2dnUcnJysLa2xqlTp5ptDyGEEEIIIYQQ8ndA33sl5F9u/PjxvONvvvkGWlpayM/P582CnTdvHj755BNe3teDiXPmzMHRo0fx/fffo1+/fvjzzz8RHR2NrVu3YvLkyQCALl26YODAgY3KGD361ddXw8PD0aNHD1y7dg3du3dv1NaoqChMnToVU6dOBQCsWrUKx48f580SjoiIwOLFizFx4kQAwLp163DixAlERUXhq6++kqjejRs3YtiwYdxsX5FIhPz8fGzYsAF+fn7o3LkznJycEBsbi759+wIAYmNjMXjwYJiYmDRqtyRjsWzZMu5nIyMjBAUFISEhAYsWLeLO19TUYO/evY2Wd/Dz84OXlxcAYM2aNdi8eTPOnj0LZ2dnXj45OTmoqalBIBBItIxES+Vu3boVNjY2vM3hvvnmG+jr6+PKlSsQiUSNyrt58yakpaXx0UcfcefqA/VN3e+WXLt2DVu2bOGWiwCAe/fuwdjYmJevPuh+7949aGhoQCgUolu3brwlT+bPnw87Ozu4urq2WKeenh5u3rzZbHp1dTWqq6u54ydPnrSpT4QQQgghhBBCyPtAM4QJ+Ze7evUqvLy8YGJiAlVVVRgZGQEASkpKePlen9UJvPr6/8qVK2FhYYEOHTpAWVkZR48e5a4rKChAdXU1hg0b1mL9lpaW3M+6uroAgAcPHjSZt6CgAP379+eds7W15X5+8uQJ7t69C3t7e14ee3t7FBQUSFxvQUFBk2VcvXoVtbW1AIDp06fju+++w/Pnz1FTU4Nvv/0Wn332WbPtbm0s9u/fD3t7e+jo6EBZWRnLli1rdA8MDQ2bXOv39b4oKSlBVVW12TFsi5bKPX/+PE6cOAFlZWXuUx/UfX3Jkdc9e/YM8vLyvHV6GWNtbtedO3fg7OwMd3d3TJ8+vU3X9uvXD3/88Qc6deoEADh8+DB+/fVX3nIZzVFUVERVVVWz6V9++SXU1NS4j76+fpvaRgghhBBCCCGEvA8UECbkX87FxQXl5eWIiYlBVlYWsrKyALyajfo6JSUl3vGGDRsQHR2NxYsX48SJE8jLy4OTkxN3naSbwb0+U7M+UNhwuYp34a/W6+LiAnl5eRw6dAj//e9/8eLFC0yYMKHJvK2NRUZGBry9vTFq1Cj8/PPPOHfuHJYuXdrqPWiqL8Cr/ryNMWypXLFYDBcXF+Tl5fE+V69exccff9xkeR07dkRVVRWvX/Uzif/44w+J2nT37l04ODjAzs4OO3fu5KXp6Ojg/v37vHP1x83NiP71119RVFQEdXV1yMjIcBvGjR8/HkOGDOHlLS8vb3HzvSVLlqCyspL73Lp1S6I+EUIIIYQQQggh7xMFhAn5FysrK0NhYSGWLVuGYcOGwczMjFtrtTXp6elwdXXFp59+CisrK5iYmODKlStcuqmpKRQVFZGamvrW2mtmZsYFrOtlZmZyP6uqqkJPTw/p6emN2mpubt6mepoqQyQSQVpaGgAgIyODyZMnIzY2FrGxsZg4cWKzgd/WxuLMmTMwNDTE0qVL0adPH5iamra4NMFfIScnx81y/it69eqFy5cvw8jICF27duV9mgtcW1tbAwDy8/N558zNzREZGdlkELuiooL7+c6dOxgyZAh69+6N2NjYRmsO29ra4rfffuNtxpeSkoJu3bpBQ0OjyTYFBwfjwoULvKA2AGzatAmxsbG8vJcuXYKNjU2zYyIvLw9VVVXehxBCCCGEEEII+dDQGsKE/ItpaGhAU1MTO3fuhK6uLkpKShAcHCzRtaampvjhhx9w5swZaGhoYOPGjbh//z4XeFVQUMDixYuxaNEiyMnJwd7eHg8fPsTly5e5NYDbKiAgAH5+fujTpw/s7e0RHx+Py5cv89btXbhwIUJDQ9GlSxdYW1sjNjYWeXl5iI+Pl7ieBQsWoG/fvli5ciU8PT2RkZGBrVu3NtrAbtq0aTAzMwOARgHk17U2FqampigpKUFCQgL69u2LpKQkHDp0qI2jIxkjIyOIxWKkpqbCysoKQqEQQqGwzeXMnj0bMTEx8PLywqJFi9ChQwdcu3YNCQkJ2LVrFxc4f52WlhZ69eqF06dPc8FhgUCA2NhYODo6YtCgQVi6dCm6d+8OsViM//73vzh27BhOnjzJBYMNDQ0RERGBhw8fcuXWz/6dNGkSwsPDMXXqVCxevBiXLl1CdHQ0b3O+s2fPwtfXF6mpqejUqRN0dHSanD1sYGDAW4+4uLgYd+7cgaOjY5vHihBCAKB47ej2bgIhhBBCCCEAKCBMyL+alJQUEhISMHfuXPTs2RPdunXD5s2bG31VvinLli3D9evX4eTkBKFQiBkzZmDcuHGorKzk8oSEhEBGRgbLly/H3bt3oauri5kzZ75xez09PVFUVIRFixbh+fPnGD9+PD7//HMcPXqUyzN37lxUVlZiwYIFePDgAczNzXH48GGYmppKXE+vXr3w/fffY/ny5Vi5ciV0dXWxYsUK+Pn58fKZmprCzs4O5eXljdY2bqilsRg7dizmz58Pf39/VFdXY/To0QgJCUFYWJjEbZaUnZ0dZs6cCU9PT5SVlSE0NPSN6qmfib148WKMGDEC1dXVMDQ0hLOzc6OZu6+bNm0a9u7dC39/f+5cv379kJOTg9WrV2P69Ol49OgRdHV1YWdnx63tm5KSgmvXruHatWvo3Lkzr8z6dYjV1NRw7NgxzJ49G71790bHjh2xfPlyzJgxg8tbVVWFwsJC3ixiSXz33XcYMWIEDA0N23QdIYQQQgghhBDyoRGwN9nRhxBCCBhjMDU1xaxZsxAYGNjezflbePbsGbp164b9+/fzNgT8kNXU1MDU1BTffvtto80GW/LkyROoqamhsrKSlo8ghBBCCCGEEPLOSfrvUJohTAghb+Dhw4dISEjAvXv3MGXKlPZuzt+GoqIi9u7di0ePHrV3UyRWUlKCL774ok3BYEIIIYQQQggh5ENFAWFCCHkDH330ETp27IidO3c2u2EZaZokS5J8SOo3yyOEEEIIIYQQQv4JKCBMCCFvgFbbIYQQQgghhBBCyN9R8zv/EEIIkUhxcTEEAgHy8vKazRMXFwd1dfUWywkLC4O1tfVbbVt78PHxwZo1a9q7GW9NcnIyrK2tUVdX195NIYQQQgghhBBC/jKaIUwIIe+Bp6cnRo0a1d7NaNKQIUNgbW2NqKiov1zW+fPnceTIEXz99dcAgBcvXmDZsmU4cuQIrl+/DjU1NTg6OmLt2rXQ09PjrisvL8ecOXPw3//+F1JSUhg/fjyio6OhrKwsUb1r167FkiVLEBAQ8Eb9iIuLw8aNG3HlyhWoqqrC3d0dX331FQDA2dkZISEhiI+Ph4+PT5vLJoQQSRkFJ73zOorXjn7ndRBCCCGEkA8bzRAmhPyrvXjx4r3Uo6ioiI8++ui91NWetmzZAnd3dy6QW1VVhd9//x0hISH4/fffkZiYiMLCQowdO5Z3nbe3Ny5fvoyUlBT8/PPP+O233zBjxgyJ6szOzsaOHTtgaWn5Rm3euHEjli5diuDgYFy+fBnHjx+Hk5MTL4+fnx82b978RuUTQgghhBBCCCEfEgoIE0L+MZKTkzFw4ECoq6tDU1MTY8aMQVFREZdev7TD/v37MXjwYCgoKCA+Ph5lZWXw8vJCp06dIBQKYWFhge+++45Xdl1dHdavX4+uXbtCXl4eBgYGWL16NS/P9evX4eDgAKFQCCsrK2RkZHBpTS0ZsXbtWmhra0NFRQVTp07F8+fPG9W5YsUKdO7cGfLy8rC2tkZycnKj/iQmJjZbb2t98/Pzw8mTJxEdHQ2BQACBQIDi4mIAwKVLlzBy5EgoKytDW1sbPj4+ePToUbPjX1tbix9++AEuLi7cOTU1NaSkpMDDwwPdunXDgAEDsHXrVuTm5qKkpAQAUFBQgOTkZOzatQv9+/fHwIEDsWXLFiQkJODu3bvN1gcAYrEY3t7eiImJaXJzP4FAgF27dsHNzQ1CoRCmpqY4fPgwl/748WMsW7YMe/fuxaRJk9ClSxdYWlo2Cli7uLggJyeH9zwRQgghhBBCCCF/RxQQJoT8Yzx9+hSBgYHIyclBamoqpKSk4Obm1mjt1+DgYAQEBKCgoABOTk54/vw5evfujaSkJFy6dAkzZsyAj48Pzp49y12zZMkSrF27FiEhIcjPz8e3334LbW1tXrlLly5FUFAQ8vLyIBKJ4OXlhZcvXzbZ1u+//x5hYWFYs2YNcnJyoKuri23btvHyREdHIzIyEhEREbhw4QKcnJwwduxYXL16VeJ6W+tbdHQ0bG1tMX36dJSWlqK0tBT6+vqoqKjA0KFDYWNjg5ycHCQnJ+P+/fvw8PBodvwvXLiAyspK9OnTp8X7VFlZCYFAwAXIMzIyoK6uzrvO0dERUlJSyMrK4s4JBALExcXxypo9ezZGjx4NR0fHZusLDw+Hh4cHLly4gFGjRsHb2xvl5eUAgJSUFNTV1eHOnTswMzND586d4eHhgVu3bvHKMDAwgLa2Nk6dOtVsPdXV1Xjy5AnvQwghhBBCCCGEfGhoDWFCyD/G+PHjecfffPMNtLS0kJ+fj549e3Ln582bh08++YSXNygoiPt5zpw5OHr0KL7//nv069cPf/75J6Kjo7F161ZMnjwZANClSxcMHDiwURmjR79amzE8PBw9evTAtWvX0L1790ZtjYqKwtSpUzF16lQAwKpVq3D8+HHeLOGIiAgsXrwYEydOBACsW7cOJ06cQFRUFLe+bWv1durUqcW+qampQU5ODkKhEDo6Oly+rVu3wsbGhrc53DfffAN9fX1cuXIFIpGoUZ9u3rwJaWnpFpfGeP78ORYvXgwvLy+oqqoCAO7du9foGhkZGXTo0AH37t3jznXr1g1qamrccUJCAn7//XdkZ2c3Wx/waha0l5cXAGDNmjXYvHkzzp49C2dnZ1y/fh11dXVYs2YNoqOjoaamhmXLlmH48OG4cOEC5OTkuHL09PRw8+bNZuv58ssvER4e3mJbCCGEEEIIIYSQ9kYzhAkh/xhXr16Fl5cXTExMoKqqCiMjIwDgliao13AGa21tLVauXAkLCwt06NABysrKOHr0KG9Jg+rqagwbNqzF+l9fw1ZXVxcA8ODBgybzFhQUoH///rxztra23M9PnjzB3bt3YW9vz8tjb2+PgoICiettrW/NOX/+PE6cOAFlZWXuUx/Ybm7ZhGfPnkFeXh4CgaDJ9BcvXsDDwwOMMW7Tubb4448/4ObmBgC4desWAgICEB8fDwUFhRave318lJSUoKqqyo1PXV0dXrx4gc2bN8PJyQkDBgzAd999h6tXr+LEiRO8chQVFVFVVdVsPUuWLEFlZSX3aTjLmBBCCCGEEEII+RDQDGFCyD+Gi4sLDA0NERMTAz09PdTV1aFnz56oqanh5VNSUuIdb9iwAdHR0YiKioKFhQWUlJQwb9487jpFRUWJ6peVleV+rg+KNlyu4l1oqd7W+tYcsVgMFxcXrFu3rlFafdC5oY4dO6Kqqgo1NTW8mbXA/4LBN2/exK+//srNDgYAHR2dRoHzly9fory8nDdr+XW5ubl48OABevXqxZ2rra3Fb7/9hq1bt6K6uhrS0tIA+OMDvBqj+vGp74u5uTmXrqWlhY4dOzYKmpeXl0NLS6vJ9gCAvLw85OXlm00nhBBCCCGEEEI+BBQQJoT8I5SVlaGwsBAxMTEYNGgQAOD06dMSXZueng5XV1d8+umnAF4FU69cucIFCU1NTaGoqIjU1FRMmzbtrbTXzMwMWVlZ8PX15c5lZmZyP6uqqkJPTw/p6ekYPHgwr639+vWTuJ7W+gYAcnJyqK2t5V3Xq1cvHDx4EEZGRpCRkew/FdbW1gCA/Px87mfgf8Hg+lm3mpqavOtsbW1RUVGB3Nxc9O7dGwDw66+/oq6urtEs6nrDhg3DxYsXeeemTJmC7t27Y/HixVwwuDX1M7ALCwvRuXNnAK8Cv48ePYKhoSGX7/nz5ygqKoKNjY1E5RJCyJsoXju6vZtACCGEEEL+BWjJCELIP4KGhgY0NTWxc+dOXLt2Db/++isCAwMlutbU1BQpKSk4c+YMCgoK8J///Af379/n0hUUFLB48WIsWrQIe/fuRVFRETIzM7F79+43bm9AQAC++eYbxMbG4sqVKwgNDcXly5d5eRYuXIh169Zh//79KCwsRHBwMPLy8hAQECBxPa31DQCMjIyQlZWF4uJiPHr0CHV1dZg9ezbKy8vh5eWF7OxsFBUV4ejRo5gyZUqj4HE9LS0t9OrVixeIf/HiBSZMmICcnBzEx8ejtrYW9+7dw71797hZymZmZnB2dsb06dNx9uxZpKenw9/fHxMnToSenh5XVvfu3XHo0CEAgIqKCnr27Mn7KCkpQVNTk7dedGtEIhFcXV0REBCAM2fO4NKlS5g8eTK6d+8OBwcHLl9mZibk5eV5y3oQQgghhBBCCCF/RxQQJoT8I0hJSSEhIQG5ubno2bMn5s+fjw0bNkh07bJly9CrVy84OTlhyJAh0NHRwbhx43h5QkJCsGDBAixfvhxmZmbw9PRsdn1gSXh6eiIkJASLFi1C7969cfPmTXz++ee8PHPnzkVgYCAWLFgACwsLJCcn4/DhwzA1NZW4Hkn6FhQUBGlpaZibm0NLSwslJSXc7OTa2lqMGDECFhYWmDdvHtTV1SEl1fx/OqZNm4b4+Hju+M6dOzh8+DBu374Na2tr6Orqcp8zZ85w+eLj49G9e3cMGzYMo0aNwsCBA7Fz505e2YWFhaisrJS475Lau3cv+vfvj9GjR2Pw4MGQlZVFcnIyb6mJ7777Dt7e3hAKhW+9fkIIIYQQQggh5H0SMMZYezeCEELIP8OzZ8/QrVs37N+//x8zm/bRo0fo1q0bcnJyYGxsLPF1T548gZqaGiorK3lrJhNCCCGEEEIIIe+CpP8OpRnChBBC3hpFRUXs3bsXjx49au+mvDXFxcXYtm1bm4LBhBBCCCGEEELIh4oCwoQQ8hbFxcVBXV29vZvRroYMGQIXF5d3Xo+RkRGioqK443v37mH48OFQUlJ6q/egT58+8PT0fGvlEUIIIYQQQggh7YkCwoQQ8jdDQeembdq0CaWlpcjLy8OVK1ckuobGkhBCCCGEEELIv41MezeAEEL+TWpqaiAnJ9fezQAA1NbWQiAQtLhJ3N9JUVERevfu3aZN9wgh5N/GKDipvZtA3pPitaPbuwmEEEII+UD9M6IAhBDSRsnJyRg4cCDU1dWhqamJMWPGoKioiEsvLi6GQCBAYmIiHBwcIBQKYWVlhYyMDF45cXFxMDAwgFAohJubG8rKynjpYWFhsLa2xq5du2BsbAwFBQUAQElJCVxdXaGsrAxVVVV4eHjg/v373HXnz5+Hg4MDVFRUoKqqit69eyMnJwdpaWmYMmUKKisrIRAIIBAIEBYWBgCorq5GUFAQOnXqBCUlJfTv3x9paWm8tqqrq+Pw4cMwNzeHvLw8SkpK8PjxY/j6+kJDQwNCoRAjR47E1atXG1139OhRmJmZQVlZGc7OzigtLeX1ddeuXTAzM4OCggK6d++Obdu2tXgPfvjhB1hYWEBRURGamppwdHTE06dPAbxadmLevHm8/OPGjYOfn1+TZRkZGeHgwYPYu3cvBAIBl2/jxo2wsLCAkpIS9PX1MWvWLIjFYgD4S2NJCCGEEEIIIYT8XVFAmBDyr/T06VMEBgYiJycHqampkJKSgpubG+rq6nj5li5diqCgIOTl5UEkEsHLywsvX74EAGRlZWHq1Knw9/dHXl4eHBwcsGrVqkZ1Xbt2DQcPHkRiYiLy8vJQV1cHV1dXlJeX4+TJk0hJScH169d569R6e3ujc+fOyM7ORm5uLoKDgyErKws7OztERUVBVVUVpaWlKC0tRVBQEADA398fGRkZSEhIwIULF+Du7g5nZ2decLeqqgrr1q3Drl27cPnyZXz00Ufw8/NDTk4ODh8+jIyMDDDGMGrUKLx48YJ3XUREBPbt24fffvsNJSUlXL0AEB8fj+XLl2P16tUoKCjAmjVrEBISgj179jQ5/qWlpfDy8sJnn32GgoICpKWl4ZNPPgFj7A3uJpCdnQ1nZ2d4eHigtLQU0dHRAAApKSls3rwZly9fxp49e/Drr79i0aJFAPCXx7Kh6upqPHnyhPchhBBCCCGEEEI+NLRkBCHkX2n8+PG842+++QZaWlrIz89Hz549ufNBQUEYPfrVVy7Dw8PRo0cPXLt2Dd27d0d0dDScnZ25AKNIJMKZM2eQnJzMK7umpgZ79+6FlpYWACAlJQUXL17EjRs3oK+vDwDYu3cvevTogezsbPTt2xclJSVYuHAhunfvDgC8ZRDU1NQgEAigo6PDnSspKUFsbCxKSkqgp6fHtT05ORmxsbFYs2YNAODFixfYtm0brKysAABXr17F4cOHkZ6eDjs7OwCvgrv6+vr48ccf4e7uzl23fft2dOnSBcCrgOmKFSu4+kNDQxEZGYlPPvkEAGBsbIz8/Hzs2LEDkydPbjT+paWlePnyJT755BMYGhoCACwsLJq/Ya3Q0tKCvLw8FBUVeePy+ixjIyMjrFq1CjNnzsS2bdsgJyf3l8ayoS+//BLh4eFv3AdCCCGEEEIIIeR9oBnChJB/patXr8LLywsmJiZQVVWFkZERgFfBwNdZWlpyP+vq6gIAHjx4AAAoKChA//79efltbW0b1WVoaMgFg+uv09fX54LBAGBubg51dXUUFBQAAAIDAzFt2jQ4Ojpi7dq1vOUsmnLx4kXU1tZCJBJBWVmZ+5w8eZJ3rZycHK9PBQUFkJGR4fVDU1MT3bp149oCAEKhkAsG149F/Tg8ffoURUVFmDp1Kq/uVatWNdtuKysrDBs2DBYWFnB3d0dMTAweP37cYh/fxA6Md2EAAQAASURBVPHjxzFs2DB06tQJKioq8PHxQVlZGaqqqpq9RtKxbGjJkiWorKzkPrdu3Xrr/SGEEEIIIYQQQv4qmiFMCPlXcnFxgaGhIWJiYqCnp4e6ujr07NkTNTU1vHyysrLczwKBAAAaLSvRGiUlpTa3LywsDJMmTUJSUhJ++eUXhIaGIiEhAW5ubk3mF4vFkJaWRm5uLqSlpXlpysrK3M+KiopcP9ri9XEAXo1F/fIO9WvyxsTENAqQN2zL6+dTUlJw5swZHDt2DFu2bMHSpUuRlZUFY2NjSElJNVo+4vUlLCRRXFyMMWPG4PPPP8fq1avRoUMHnD59GlOnTkVNTQ2EQmGT10k6lg3Jy8tDXl6+TW0khBBCCCGEEELeNwoIE0L+dcrKylBYWIiYmBgMGjQIAHD69Ok2l2NmZoasrCzeuczMTImuu3XrFm7dusXNEs7Pz0dFRQXMzc25fCKRCCKRCPPnz4eXlxdiY2Ph5uYGOTk51NbW8sq0sbFBbW0tHjx4wPVJ0j68fPkSWVlZ3JIR9ePzeltaoq2tDT09PVy/fh3e3t4S1y0QCGBvbw97e3ssX74choaGOHToEAIDA6GlpcXbtK62thaXLl2Cg4ODxOXn5uairq4OkZGRkJJ69YWY77//npfnbY4lIYQQQgghhBDyd0ABYULIv46GhgY0NTWxc+dO6OrqoqSkBMHBwW0uZ+7cubC3t0dERARcXV1x9OjRRusHN8XR0REWFhbw9vZGVFQUXr58iVmzZmHw4MHo06cPnj17hoULF2LChAkwNjbG7du3kZ2dza17bGRkBLFYjNTUVFhZWUEoFEIkEsHb2xu+vr6IjIyEjY0NHj58iNTUVFhaWnLrIDdkamoKV1dXTJ8+HTt27ICKigqCg4PRqVMnuLq6SjwW4eHhmDt3LtTU1ODs7Izq6mrk5OTg8ePHCAwMbJQ/KysLqampGDFiBD766CNkZWXh4cOHMDMzAwAMHToUgYGBSEpKQpcuXbBx40ZUVFRI3B4A6Nq1K168eIEtW7bAxcUF6enp2L59Oy/P2xxLQgj5OyheS7/DCCGEEEL+7WgNYULIv46UlBQSEhKQm5uLnj17Yv78+diwYUObyxkwYABiYmIQHR0NKysrHDt2DMuWLWv1OoFAgJ9++gkaGhr4+OOP4ejoCBMTE+zfvx/Aq+UUysrK4OvrC5FIBA8PD4wcOZLbsMzOzg4zZ86Ep6cntLS0sH79egBAbGwsfH19sWDBAnTr1g3jxo1DdnY2DAwMWmxPbGwsevfujTFjxsDW1haMMRw5cqTRMhEtmTZtGnbt2oXY2FhYWFhg8ODBiIuLg7GxcZP5VVVV8dtvv2HUqFEQiURYtmwZIiMjMXLkSADAZ599hsmTJ8PX1xeDBw+GiYlJm2YHA6/WKd64cSPWrVuHnj17Ij4+Hl9++SUvz9seS0IIIYQQQggh5EMnYA0XaSSEEELIX/bkyROoqamhsrISqqqq7d0cQgghhBBCCCH/cJL+O5RmCBNCCCGEEEIIIYQQQsi/BAWECSGEEEIIIYQQQggh5F+CAsKkXcTFxUFdXb29m/FeFRcXQyAQIC8vDwCQlpYGgUDQpo2yjIyMEBUV1WKempoadO3aFWfOnJG43H/q/ZBkvN6V5ORkWFtbo66url3q/xCEhYXB2tq60TltbW0IBAL8+OOP771Nb/J+5Ofno3Pnznj69Ok7bBkhhBBCCCGEEPJ+UECY/GN96EFOOzs7lJaWQk1N7a2Wu337dhgbG8POzo47N3bsWBgYGEBBQQG6urrw8fHB3bt332q9AN5akK+0tBSTJk2CSCSClJQU5s2b1yjPkCFDIBAIGn1Gj367u6c3FdSUhLOzM2RlZREfH/9W2/N3VlBQgPDwcOzYsQOlpaXcBnKteZvB46bej9WrV8POzg5CobDJ3xnm5uYYMGAANm7c+FbaQAghhBBCCCGEtCeZ9m4AIU2pqamBnJxcezfjnZKTk4OOjs5bLZMxhq1bt2LFihW88w4ODvjiiy+gq6uLO3fuICgoCBMmTGjTLMn3qbq6GlpaWli2bBk2bdrUZJ7ExETU1NRwx2VlZbCysoK7u/v7amar/Pz8sHnzZvj4+LR3Uz4IRUVFAABXV1cIBIL3Xn9z70dNTQ3c3d1ha2uL3bt3N3ntlClTMH36dCxZsgQyMvSfTkLI22UUnPTe6ipe+3b/cEoIIYQQQv5+aIYwaVFycjIGDhwIdXV1aGpqYsyYMVxQB/jfMgiJiYlwcHCAUCiElZUVMjIyeOXExcXBwMAAQqEQbm5uKCsr46XXz8LctWsXjI2NoaCgAAAoKSmBq6srlJWVoaqqCg8PD9y/f5+77vz583BwcICKigpUVVXRu3dv5OTkIC0tDVOmTEFlZSU3czQsLAzAq2BjUFAQOnXqBCUlJfTv3x9paWm8tqqrq+Po0aMwMzODsrIynJ2dUVpaymvzrl27YGZmBgUFBXTv3h3btm3jpZ89exY2NjZQUFBAnz59cO7cOV56U0tGHDx4ED169IC8vDyMjIwQGRkp2Y36/3Jzc1FUVNRoluz8+fMxYMAAGBoaws7ODsHBwcjMzMSLFy94+X788UeYmppCQUEBTk5OuHXrFi/9p59+Qq9evaCgoAATExOEh4fj5cuXAF4tzwAAbm5uEAgE3HFRURFcXV2hra0NZWVl9O3bF8ePH2+xH0ZGRoiOjoavr2+zM6g7dOgAHR0d7pOSkgKhUNgoIPznn3/Cy8sLSkpK6NSpE7766iteekVFBaZNmwYtLS2oqqpi6NChOH/+PIBXz0J4eDjOnz/PPUdxcXEAgI0bN8LCwgJKSkrQ19fHrFmzIBaLeWW7uLggJyeH98405Ofnh3HjxmHNmjXQ1taGuro6VqxYgZcvX2LhwoXo0KEDOnfujNjYWN51Fy9exNChQ6GoqAhNTU3MmDGDV399uREREdDV1YWmpiZmz57Nu+ePHz+Gr68vNDQ0IBQKMXLkSFy9epVLv3nzJlxcXKChoQElJSX06NEDR44c4cam4WzaH3/8sdlAb1hYGFxcXAAAUlJSXL7s7GwMHz4cHTt2hJqaGgYPHozff/+du6655wpo+XlsSnPvR3h4OObPnw8LC4tmrx0+fDjKy8tx8uTJZvMQQgghhBBCCCF/BxQQJi16+vQpAgMDkZOTg9TUVEhJScHNza3RuqhLly5FUFAQ8vLyIBKJ4OXlxQVmsrKyMHXqVPj7+yMvLw8ODg5YtWpVo7quXbuGgwcPIjExEXl5eairq4OrqysXhElJScH169fh6enJXePt7Y3OnTsjOzsbubm5CA4OhqysLOzs7BAVFQVVVVWUlpaitLQUQUFBAAB/f39kZGQgISEBFy5cgLu7O5ydnXmBsKqqKkRERGDfvn347bffUFJSwl0PAPHx8Vi+fDlWr16NgoICrFmzBiEhIdizZw8AQCwWY8yYMTA3N0dubi7CwsJ41zclNzcXHh4emDhxIi5evIiwsDCEhIRwAUhJnDp1CiKRCCoqKs3mKS8vR3x8POzs7CArK8vr8+rVq7F3716kp6ejoqICEydO5JXt6+uLgIAA5OfnY8eOHYiLi8Pq1asBvArsAUBsbCxKS0u5Y7FYjFGjRiE1NRXnzp2Ds7MzXFxcUFJSInG/JLF7925MnDgRSkpKvPMbNmyAlZUVzp07h+DgYAQEBCAlJYVLd3d3x4MHD/DLL78gNzcXvXr1wrBhw1BeXg5PT08sWLAAPXr04J6j+udPSkoKmzdvxuXLl7Fnzx78+uuvWLRoEa9uAwMDaGtr49SpUy22/ddff8Xdu3fx22+/YePGjQgNDcWYMWOgoaGBrKwszJw5E//5z39w+/ZtAK/eSycnJ2hoaCA7OxsHDhzA8ePH4e/vzyv3xIkTKCoqwokTJ7Bnzx7ExcXxnic/Pz/k5OTg8OHDyMjIAGMMo0aN4oLGs2fPRnV1NX777TdcvHgR69atg7KycttuzP8XFBTEBbXrxxJ4FbCfPHkyTp8+jczMTJiammLUqFH4888/ATT/XLX2PDZFkvejOXJycrC2tm7xXlZXV+PJkye8DyGEEEIIIYQQ8sFhhLTBw4cPGQB28eJFxhhjN27cYADYrl27uDyXL19mAFhBQQFjjDEvLy82atQoXjmenp5MTU2NOw4NDWWysrLswYMH3Lljx44xaWlpVlJS0qjss2fPMsYYU1FRYXFxcU22NTY2llcHY4zdvHmTSUtLszt37vDODxs2jC1ZsoS7DgC7du0al/7VV18xbW1t7rhLly7s22+/5ZWxcuVKZmtryxhjbMeOHUxTU5M9e/aMS//6668ZAHbu3DnGGGMnTpxgANjjx48ZY4xNmjSJDR8+nFfmwoULmbm5OXdsaGjINm3a1GR/GWMsICCADR06tMm0RYsWMaFQyACwAQMGsEePHnFp9X3OzMzkzhUUFDAALCsrixujNWvW8Mrct28f09XV5Y4BsEOHDjXbvno9evRgW7ZsaTUfY4wNHjyYBQQEtJgnKyuL19Z6hoaGzNnZmXfO09OTjRw5kjHG2KlTp5iqqip7/vw5L0+XLl3Yjh07GGOvnk0rK6tW23ngwAGmqanZ6LyNjQ0LCwtr9rrJkyczQ0NDVltby53r1q0bGzRoEHf88uVLpqSkxL777jvGGGM7d+5kGhoaTCwWc3mSkpKYlJQUu3fvHq/cly9fcnnc3d2Zp6cnY4yxK1euMAAsPT2dS3/06BFTVFRk33//PWOMMQsLi2bb3tT7dejQIfb6f1Yajl3D9KbU1tYyFRUV9t///pc719RzJcnz2FBL7wdjTffpdW5ubszPz6/Z9NDQUAag0aeysrLZawghhDHGDBf//N4+hBBCCCHkn6uyslKif4fSDGHSoqtXr8LLywsmJiZQVVXlvq7dcHanpaUl97Ouri4A4MGDBwBebSTVv39/Xn5bW9tGdRkaGkJLS4s7LigogL6+PvT19blz5ubmUFdXR0FBAQAgMDAQ06ZNg6OjI9auXdviV/OBV1+zr62thUgkgrKyMvc5efIk71qhUIguXbrw+lTfn6dPn6KoqAhTp07llbFq1SqujIKCAlhaWnJLXzTX59cVFBTA3t6ed87e3h5Xr15FbW1ti9fWe/bsGa/O1y1cuBDnzp3DsWPHIC0tDV9fXzDGuHQZGRn07duXO+7evTtvrM+fP48VK1bw+jx9+nSUlpaiqqqq2TaJxWIEBQXBzMwM6urqUFZWRkFBwVudIbx7925YWFigX79+jdIajrutrS2vT2KxGJqamrx+3bhxo9Vn6fjx4xg2bBg6deoEFRUV+Pj4oKysrNFYKCoqtjg+ANCjRw9ISf3v17G2tjZv+QJpaWloamry3ikrKyvebGh7e3vU1dWhsLCQV660tDR3/PpzXFBQABkZGd67qampiW7dunHjM3fuXKxatQr29vYIDQ3FhQsXWuzHm7h//z6mT58OU1NTqKmpQVVVFWKxuNXn402ex5beD0m0di+XLFmCyspK7tNwyRVCCCGEEEIIIeRDQDvjkBa5uLjA0NAQMTEx0NPTQ11dHXr27MnbzAsAb+mB+rVBGy4r0ZqGX/WXRFhYGCZNmoSkpCT88ssvCA0NRUJCAtzc3JrMLxaLIS0tjdzcXF6gDADvq/Cv9wd41af64Gn9Oq0xMTGNAt0Ny3zfOnbsiIsXLzab1rFjR4hEIpiZmUFfXx+ZmZmtBqrricVihIeH45NPPmmU1lKQLSgoCCkpKYiIiEDXrl2hqKiICRMmNHqG3tTTp0+RkJDQaKMwSYjFYujq6vLWkK7XcH3c1xUXF2PMmDH4/PPPsXr1anTo0AGnT5/G1KlTUVNTA6FQyOUtLy/n/aGjKU09b02da+s79VfLmDZtGpycnJCUlIRjx47hyy+/RGRkJObMmQMpKSneHxQANFqTWhKTJ09GWVkZoqOjYWhoCHl5edja2rb6fLzJ89jS+yGJ8vJy3h+KGpKXl4e8vPwbl08IIYQQQgghhLwPFBAmzSorK0NhYSFiYmIwaNAgAMDp06fbXI6ZmRmysrJ45zIzMyW67tatW7h16xY3Szg/Px8VFRUwNzfn8olEIohEIsyfPx9eXl6IjY2Fm5sb5OTkGs2stbGxQW1tLR48eMD1qa20tbWhp6eH69evw9vbu9m279u3D8+fP+eCU6312czMDOnp6bxz6enpEIlEEgeabWxs8PXXX4Mx1uzmXsD/gvXV1dXcuZcvXyInJ4ebZVtYWIiKigqYmZkBAHr16oXCwkJ07dq12XJlZWUbjXl6ejr8/Py4IL1YLEZxcbFE/ZHEgQMHUF1djU8//bTJ9IbjnpmZyevTvXv3ICMjw9us7HVNPUe5ubmoq6tDZGQkN7P3+++/b3Tt8+fPUVRUBBsbm7Z2q0VmZmaIi4vD06dPuT+kpKenQ0pKCt26dZO4jJcvXyIrKwt2dnYA/vfOv/5+6evrY+bMmZg5cyaWLFmCmJgYzJkzB1paWvjzzz95bcjLy2tzX9LT07Ft2zaMGjUKAHDr1i08evSIl6ep50qS57EhSd+P5ly6dAkTJkxo83WEEEIIIYQQQsiHhALCpFkaGhrQ1NTEzp07oauri5KSEgQHB7e5nLlz58Le3h4RERFwdXXF0aNHkZyc3Op1jo6OsLCwgLe3N6KiovDy5UvMmjULgwcPRp8+ffDs2TMsXLgQEyZMgLGxMW7fvo3s7GyMHz8eAGBkZASxWIzU1FRYWVlBKBRCJBLB29sbvr6+iIyMhI2NDR4+fIjU1FRYWlpi9OjREvUpPDwcc+fOhZqaGpydnVFdXY2cnBw8fvwYgYGBmDRpEpYuXYrp06djyZIlKC4uRkRERItlLliwAH379sXKlSvh6emJjIwMbN26Fdu2bZOoTQDg4OAAsViMy5cvo2fPngBebeqXnZ2NgQMHQkNDA0VFRQgJCUGXLl14s4NlZWUxZ84cbN68GTIyMvD398eAAQO4APHy5csxZswYGBgYYMKECZCSksL58+dx6dIlbpNAIyMjpKamwt7eHvLy8tDQ0ICpqSkSExPh4uICgUCAkJAQiWap1gcXxWIxHj58iLy8PMjJyfGClcCr5SLGjRsHTU3NJstJT0/H+vXrMW7cOKSkpODAgQNISkoC8OoZs7W1xbhx47B+/XqIRCLcvXsXSUlJcHNzQ58+fWBkZIQbN24gLy8PnTt3hoqKCrp27YoXL15gy5YtcHFxQXp6OrZv396o7szMTG7G69vk7e2N0NBQTJ48GWFhYXj48CHmzJkDHx8faGtrS1SGqakpXF1dMX36dOzYsQMqKioIDg5Gp06d4OrqCgCYN28eRo4cCZFIhMePH+PEiRNcML1///4QCoX44osvMHfuXGRlZbVpA8TX27Fv3z706dMHT548wcKFC6GoqMjL09RzJcnz2FBT7wfwagmc8vJylJSUoLa2lnv2unbtyn1zoLi4GHfu3IGjo2Ob+0gIIa0pXivZ/38QQgghhBDyVrz75YzJ31lKSgozMzNj8vLyzNLSkqWlpfE2eKrfVK5+ozTGGHv8+DEDwE6cOMGd2717N+vcuTNTVFRkLi4uLCIiotGmck1t3HXz5k02duxYpqSkxFRUVJi7uzu3aVZ1dTWbOHEi09fXZ3JyckxPT4/5+/vzNnKbOXMm09TUZABYaGgoY4yxmpoatnz5cmZkZMRkZWWZrq4uc3NzYxcuXGCMSbZZFmOMxcfHM2trayYnJ8c0NDTYxx9/zBITE7n0jIwMZmVlxeTk5Ji1tTU7ePBgi5vKMcbYDz/8wMzNzZmsrCwzMDBgGzZs4NXZ2qZyjDHm4eHBgoODueMLFy4wBwcH1qFDByYvL8+MjIzYzJkz2e3bt7k89X0+ePAgMzExYfLy8szR0ZHdvHmTV3ZycjKzs7NjioqKTFVVlfXr14/t3LmTSz98+DDr2rUrk5GRYYaGhoyxV8+Ig4MDU1RUZPr6+mzr1q2NNooLDQ3l8tdDE5tzNczzxx9/MADs2LFjTY6FoaEhCw8PZ+7u7kwoFDIdHR0WHR3Ny/PkyRM2Z84cpqenx2RlZZm+vj7z9vbmNjN8/vw5Gz9+PFNXV2cAWGxsLGOMsY0bNzJdXV2mqKjInJyc2N69exvdzxkzZrD//Oc/Tbat3uTJk5mrqyvvXFMb6TW89/X3VUFBgXXo0IFNnz6d/fnnny2WGxAQwAYPHswdl5eXMx8fH6ampsb148qVK1y6v78/69KlC5OXl2daWlrMx8eHtxnhoUOHWNeuXZmioiIbM2YM27lzZ5s3lfv9999Znz59mIKCAjM1NWUHDhxo1NemnivGWn8em9Lw/agfq6aet9d/h61Zs4Y5OTm1WHZDki7mTwghhBBCCCGEvA2S/jtUwFiDRSAJIX9rFy5cwPDhw1FUVMRbF/lDNnnyZAgEgjeaYfqhevToEbp164acnBwYGxu3d3PI//cm70dNTQ1MTU3x7bffNtr4sSVPnjyBmpoaKisroaqq+qZNJoQQQgghhBBCJCLpv0Olmk0hhPwtWVpaYt26dbhx40Z7N0UijDGkpaVh5cqV7d2Ut6q4uBjbtm2jYPAH5k3ej5KSEnzxxRdtCgYTQgghhBBCCCEfKpohTAghhLwDNEOYEEIIIYQQQsj7RDOECfn/4uLioK6u3t7NeK+Ki4shEAi4zbHS0tIgEAhQUVEhcRlGRkaIiopqMU9NTQ26du2KM2fOSFzuP/V+SDJe70pycjKsra0l2qyvIT8/P4wbN447HjJkCObNm/fW2iYQCPDjjz9yx3/88QcGDBgABQUFWFtbv7V62mL37t0YMWJEm64ZMGAADh48+I5aRAghhBBCCCGEvD8UECbkLfjQg5x2dnYoLS2FmpraWy13+/btMDY2hp2dHXdu7NixMDAwgIKCAnR1deHj44O7d+++1XqBxoHGN1VaWopJkyZBJBJBSkqqyWDokCFDIBAIGn1Gj367u8KHhYW9UZDU2dkZsrKyiI+P/8ttSExMfKfLd4SGhkJJSQmFhYVITU2V6Jo3HZemPH/+HCEhIQgNDeXOxcTEYNCgQdDQ0ICGhgYcHR1x9uxZ3nXLli1DcHDwGwXdCSGEEEIIIYSQD4lMezeAkPZWU1MDOTm59m7GOyUnJwcdHZ23WiZjDFu3bsWKFSt45x0cHPDFF19AV1cXd+7cQVBQECZMmNCmWcTvU3V1NbS0tLBs2TJs2rSpyTyJiYmoqanhjsvKymBlZQV3d/f31cxW+fn5YfPmzfDx8flL5XTo0OEttahpRUVFGD16NAwNDd9pPc354YcfoKqqylsPOC0tDV5eXrCzs4OCggLWrVuHESNG4PLly+jUqRMAYOTIkZg2bRp++eWXt/6HAEIIeZ+MgpMkzlu8ln7fEUIIIYT8E9EMYfLBSE5OxsCBA6Gurg5NTU2MGTMGRUVFXHr9MgiJiYlwcHCAUCiElZUVMjIyeOXExcXBwMAAQqEQbm5uKCsr46XXzzbctWsXjI2NoaCgAODVxlGurq5QVlaGqqoqPDw8cP/+fe668+fPw8HBASoqKlBVVUXv3r2Rk5ODtLQ0TJkyBZWVldzM0bCwMACvgo1BQUHo1KkTlJSU0L9/f6SlpfHaqq6ujqNHj8LMzAzKyspwdnZGaWkpr827du2CmZkZFBQU0L17d2zbto2XfvbsWdjY2EBBQQF9+vTBuXPneOlNLRlx8OBB9OjRA/Ly8jAyMkJkZKRkN+r/y83N5YJ7r5s/fz4GDBgAQ0ND2NnZITg4GJmZmXjx4gUv348//ghTU1MoKCjAyckJt27d4qX/9NNP6NWrFxQUFGBiYoLw8HC8fPkSwKvlGQDAzc0NAoGAOy4qKoKrqyu0tbWhrKyMvn374vjx4y32w8jICNHR0fD19W12BnWHDh2go6PDfVJSUiAUChsFhP/88094eXlBSUkJnTp1wldffcVLr6iowLRp06ClpQVVVVUMHToU58+fB/DqWQgPD8f58+e55yguLg4AsHHjRlhYWEBJSQn6+vqYNWsWxGIxr2wXFxfk5OTw3pmGamtrERgYyL1jixYtQsNl5BsuGbFt2zbuPmlra2PChAm8sWu4TIa1tTX3/DckEAiQm5uLFStW8N6TxYsXQyQSQSgUwsTEBCEhIdzz0tK4tDSezUlISICLiwvvXHx8PGbNmgVra2t0794du3btQl1dHW8Gs7S0NEaNGoWEhIQWyyeEEEIIIYQQQj50FBAmH4ynT58iMDAQOTk5SE1NhZSUFNzc3Bp9RXvp0qUICgpCXl4eRCIRvLy8uEBhVlYWpk6dCn9/f+Tl5cHBwQGrVq1qVNe1a9dw8OBBJCYmIi8vD3V1dXB1dUV5eTlOnjyJlJQUXL9+HZ6entw13t7e6Ny5M7Kzs5Gbm4vg4GDIysrCzs4OUVFRUFVVRWlpKUpLSxEUFAQA8Pf3R0ZGBhISEnDhwgW4u7vD2dkZV69e5cqtqqpCREQE9u3bh99++w0lJSXc9cCrYNXy5cuxevVqFBQUYM2aNQgJCcGePXsAAGKxGGPGjIG5uTlyc3MRFhbGu74pubm58PDwwMSJE3Hx4kWEhYUhJCSEC7RJ4tSpUxCJRFBRUWk2T3l5OeLj42FnZwdZWVlen1evXo29e/ciPT0dFRUVmDhxIq9sX19fBAQEID8/Hzt27EBcXBxWr14NAMjOzgYAxMbGorS0lDsWi8UYNWoUUlNTce7cOTg7O8PFxQUlJSUS90sSu3fvxsSJE6GkpMQ7v2HDBlhZWeHcuXMIDg5GQEAAUlJSuHR3d3c8ePAAv/zyC3Jzc9GrVy8MGzYM5eXl8PT0xIIFC9CjRw/uOap//qSkpLB582ZcvnwZe/bswa+//opFixbx6jYwMIC2tjZOnTrVbLsjIyMRFxeHb775BqdPn0Z5eTkOHTrUbP6cnBzMnTsXK1asQGFhIZKTk/Hxxx+/yZABeLU8R48ePbBgwQLee6KiooK4uDjk5+cjOjoaMTEx3GztlsalpfFszunTp9GnT58W21lVVYUXL140mi3dr1+/Fse3uroaT5484X0IIYQQQgghhJAPDiPkA/Xw4UMGgF28eJExxtiNGzcYALZr1y4uz+XLlxkAVlBQwBhjzMvLi40aNYpXjqenJ1NTU+OOQ0NDmaysLHvw4AF37tixY0xaWpqVlJQ0Kvvs2bOMMcZUVFRYXFxck22NjY3l1cEYYzdv3mTS0tLszp07vPPDhg1jS5Ys4a4DwK5du8alf/XVV0xbW5s77tKlC/v22295ZaxcuZLZ2toyxhjbsWMH09TUZM+ePePSv/76awaAnTt3jjHG2IkTJxgA9vjxY8YYY5MmTWLDhw/nlblw4UJmbm7OHRsaGrJNmzY12V/GGAsICGBDhw5tMm3RokVMKBQyAGzAgAHs0aNHXFp9nzMzM7lzBQUFDADLysrixmjNmjW8Mvft28d0dXW5YwDs0KFDzbavXo8ePdiWLVtazccYY4MHD2YBAQEt5snKyuK1tZ6hoSFzdnbmnfP09GQjR45kjDF26tQppqqqyp4/f87L06VLF7Zjxw7G2Ktn08rKqtV2HjhwgGlqajY6b2Njw8LCwpq9TldXl61fv547fvHiBevcuTNzdXXlzr0+BgcPHmSqqqrsyZMnTZbX1DNiZWXFQkNDueOG96lhelM2bNjAevfuzR03NS6SjGdDjx8/ZgDYb7/91mL9n3/+OTMxMeG9U4wx9tNPPzEpKSlWW1vb5HWhoaEMQKNPZWVli/URQsj7ZLj4Z4k/hBBCCCHk76WyslKif4fSDGHywbh69Sq8vLxgYmICVVVVbhmAhrM7LS0tuZ91dXUBAA8ePAAAFBQUoH///rz8tra2jeoyNDSElpYWd1xQUAB9fX3o6+tz58zNzaGuro6CggIAQGBgIKZNmwZHR0esXbu2xa/mA8DFixdRW1sLkUgEZWVl7nPy5EnetUKhEF26dOH1qb4/T58+RVFREaZOncorY9WqVVwZBQUFsLS05Ja+aK7PrysoKOCtoQoA9vb2uHr1Kmpra1u8tt6zZ894db5u4cKFOHfuHI4dOwZpaWn4+vryliaQkZFB3759uePu3bvzxvr8+fNYsWIFr8/Tp09HaWkpqqqqmm2TWCxGUFAQzMzMoK6uDmVlZRQUFLzVGcK7d++GhYUF+vXr1yit4bjb2try+iQWi6Gpqcnr140bN1p9lo4fP45hw4ahU6dOUFFRgY+PD8rKyhqNhaKiYrPjU1lZidLSUt77ISMj0+Js2eHDh8PQ0BAmJibw8fFBfHx8i+P/pvbv3w97e3vo6OhAWVkZy5Yta/Wevcl4Pnv2DACafW4BYO3atUhISMChQ4ca5VNUVERdXR2qq6ubvHbJkiWorKzkPg2XQSGEEEIIIYQQQj4EtKkc+WC4uLjA0NAQMTEx0NPTQ11dHXr27MnbzAsAb+kBgUAAAI2WlWhNw6/6SyIsLAyTJk1CUlISfvnlF4SGhiIhIQFubm5N5heLxZCWlkZubi6kpaV5acrKytzPr/cHeNWn+uBp/TqxMTExjQLdDct83zp27IiLFy82m9axY0eIRCKYmZlBX18fmZmZrQaq64nFYoSHh+OTTz5plNZSMC8oKAgpKSmIiIhA165doaioiAkTJjR6ht7U06dPkZCQ0GgjPUmIxWLo6ury1pCup66u3ux1xcXFGDNmDD7//HOsXr0aHTp0wOnTpzF16lTU1NRAKBRyecvLy3l/6PirVFRU8PvvvyMtLQ3Hjh3D8uXLERYWhuzsbKirq0NKSqrRGsQN14puTUZGBry9vREeHg4nJyeoqakhISGh1TWt32Q8NTU1IRAI8Pjx4ybTIyIisHbtWhw/fpz3h6d65eXlUFJSgqKiYpPXy8vLQ15evsV2E0IIIYQQQggh7Y0CwuSDUFZWhsLCQsTExGDQoEEAXq312VZmZmbIysrincvMzJToulu3buHWrVvcLOH8/HxUVFTA3NycyycSiSASiTB//nx4eXkhNjYWbm5ukJOTazSz1sbGBrW1tXjw4AHXp7bS1taGnp4erl+/Dm9v72bbvm/fPjx//pwLlrbWZzMzM6Snp/POpaenQyQSSRxotrGxwddffw3GGBeYb0p9sP71WZUvX75ETk4ON8u2sLAQFRUVMDMzAwD06tULhYWF6Nq1a7PlysrKNhrz9PR0+Pn5cUF6sViM4uJiifojiQMHDqC6uhqffvppk+kNxz0zM5PXp3v37kFGRoab/d5QU89Rbm4u6urqEBkZCSmpV1/q+P777xtd+/z5cxQVFcHGxqbJstXU1KCrq4usrCxuHeCXL19ya+82R0ZGBo6OjnB0dERoaCjU1dXx66+/4pNPPoGWlhZvA8QnT57gxo0bzZbVlDNnzsDQ0BBLly7lzt28eZOXp6lxkWQ8G5KTk4O5uTny8/MxYsQIXtr69euxevVqHD16tNlZ05cuXWp2fAkhhBBCCCGEkL8LCgiTD4KGhgY0NTWxc+dO6OrqoqSkBMHBwW0uZ+7cubC3t0dERARcXV1x9OhRJCcnt3qdo6MjLCws4O3tjaioKLx8+RKzZs3C4MGD0adPHzx79gwLFy7EhAkTYGxsjNu3byM7Oxvjx48HABgZGUEsFiM1NRVWVlYQCoUQiUTw9vaGr68vIiMjYWNjg4cPHyI1NRWWlpYYPXq0RH0KDw/H3LlzoaamBmdnZ1RXVyMnJwePHz9GYGAgJk2ahKVLl2L69OlYsmQJiouLERER0WKZCxYsQN++fbFy5Up4enoiIyMDW7duxbZt2yRqEwA4ODhALBbj8uXL6NmzJ4BXm/plZ2dj4MCB0NDQQFFREUJCQtClSxfe7GBZWVnMmTMHmzdvhoyMDPz9/TFgwAAuQLx8+XKMGTMGBgYGmDBhAqSkpHD+/HlcunSJ2yTQyMgIqampsLe3h7y8PDQ0NGBqaorExES4uLhAIBAgJCREotnjeXl5AF4FkB8+fIi8vDwuePi63bt3Y9y4cdDU1GyynPT0dKxfvx7jxo1DSkoKDhw4gKSkJACvnjFbW1uMGzcO69evh0gkwt27d5GUlAQ3Nzf06dMHRkZGuHHjBvLy8tC5c2eoqKiga9euePHiBbZs2QIXFxekp6dj+/btjerOzMyEvLx8i7OwAwICsHbtWpiamqJ79+7YuHEjKioqms3/888/4/r16/j444+hoaGBI0eOoK6uDt26dQMADB06FHFxcXBxcYG6ujqWL1/e5pnrpqamKCkpQUJCAvr27YukpKRGG901NS6SjGdTnJyccPr0acybN487t27dOixfvhzffvstjIyMcO/ePQDglqGod+rUqUaBZEII+bspXivZ/38QQgghhJB/sPewnjEhEklJSWFmZmZMXl6eWVpasrS0NN6GVPWbytVvlMbY/zaJOnHiBHdu9+7drHPnzkxRUZG5uLiwiIiIRpvKNbVx182bN9nYsWOZkpISU1FRYe7u7uzevXuMMcaqq6vZxIkTmb6+PpOTk2N6enrM39+ft+nUzJkzmaamJgPAbZpVU1PDli9fzoyMjJisrCzT1dVlbm5u7MKFC4yxpjejO3ToEGv4asbHxzNra2smJyfHNDQ02Mcff8wSExO59IyMDGZlZcXk5OSYtbU1O3jwYIubyjHG2A8//MDMzc2ZrKwsMzAwYBs2bODV2dqmcowx5uHhwYKDg7njCxcuMAcHB9ahQwcmLy/PjIyM2MyZM9nt27e5PPV9PnjwIDMxMWHy8vLM0dGR3bx5k1d2cnIys7OzY4qKikxVVZX169eP7dy5k0s/fPgw69q1K5ORkWGGhoaMsVfPiIODA1NUVGT6+vps69atjTaKCw0N5fLXQxMbgTXM88cffzAA7NixY02OhaGhIQsPD2fu7u5MKBQyHR0dFh0dzcvz5MkTNmfOHKanp8dkZWWZvr4+8/b25jYzfP78ORs/fjxTV1dnAFhsbCxjjLGNGzcyXV1dpqioyJycnNjevXsb3c8ZM2aw//znP022rd6LFy9YQEAAU1VVZerq6iwwMJD5+vo2u6ncqVOn2ODBg5mGhgZTVFRklpaWbP/+/VzeyspK5unpyVRVVZm+vj6Li4t7o03lFi5cyDQ1NZmysjLz9PRkmzZt4r0XzY1La+PZlMuXLzNFRUVWUVHBnTM0NGzyGXi9nbdv32aysrLs1q1bLY7x6yRdzJ8QQgghhBBCCHkbJP13qICxBgtAEkKIhC5cuIDhw4ejqKiIN5PyQzZ58mQIBALExcW1d1PemkePHqFbt27IycmBsbFxezfng+fu7o5evXphyZIlEl+zePFiPH78GDt37pT4midPnkBNTQ2VlZVQVVV9k6YSQgghhBBCCCESk/TfoVLvsU2EkH8YS0tLrFu3rs3rxrYXxhjS0tKwcuXK9m7KW1VcXIxt27ZRMFhCGzZsaPMfMD766KN/3HNDCCGEEEIIIeTfiWYIE0IIIe8AzRAmhBBCCCGEEPI+0QxhQv6/uLg4qKurt3cz3qvi4mIIBAJus7S0tDQIBIIWNxBryMjICFFRUS3mqampQdeuXXHmzBmJy/2n3g9JxutdSU5OhrW1tUQb6DXk5+eHcePGccdDhgzhbbj2VwkEAvz444/c8R9//IEBAwZAQUEB1tbWb62etti9e3ebN4ebOHEiIiMj31GLCCGEEEIIIYSQ94cCwoS8BR96kNPOzg6lpaVQU1N7q+Vu374dxsbGsLOz486NHTsWBgYGUFBQgK6uLnx8fHD37t23Wi/QOND4pkpLSzFp0iSIRCJISUk1GQwdMmQIBAJBo8/o0W93p/awsLA3CpI6OztDVlYW8fHxf7kNiYmJ73RphNDQUCgpKaGwsBCpqakSXfOm49KU58+fIyQkBKGhody5y5cvY/z48TAyMoJAIGgysL9s2TKsXr0alZWVb6UdhBBCCCGEEEJIe5Fp7wYQ0t5qamogJyfX3s14p+Tk5KCjo/NWy2SMYevWrVixYgXvvIODA7744gvo6urizp07CAoKwoQJE9o0i/h9qq6uhpaWFpYtW4ZNmzY1mScxMRE1NTXccVlZGaysrODu7v6+mtkqPz8/bN68GT4+Pn+pnA4dOrylFjWtqKgIo0ePhqGh4Tutpzk//PADVFVVYW9vz52rqqqCiYkJ3N3dMX/+/Cav69mzJ7p06YL/+7//w+zZs99Xcwkhb5lRcFJ7N6HdFa99u3/MJIQQQgghfz80Q5h8MJKTkzFw4ECoq6tDU1MTY8aMQVFREZdevwxCYmIiHBwcIBQKYWVlhYyMDF45cXFxMDAwgFAohJubG8rKynjp9bMNd+3aBWNjYygoKAAASkpK4OrqCmVlZaiqqsLDwwP379/nrjt//jwcHBygoqICVVVV9O7dGzk5OUhLS8OUKVNQWVnJzRwNCwsD8CrYGBQUhE6dOkFJSQn9+/dHWloar63q6uo4evQozMzMoKysDGdnZ5SWlvLavGvXLpiZmUFBQQHdu3fHtm3beOlnz56FjY0NFBQU0KdPH5w7d46X3tSSEQcPHkSPHj0gLy8PIyOjNn8dPjc3lwvuvW7+/PkYMGAADA0NYWdnh+DgYGRmZuLFixe8fD/++CNMTU2hoKAAJycn3Lp1i5f+008/oVevXlBQUICJiQnCw8Px8uVLAK+WZwAANzc3CAQC7rioqAiurq7Q1taGsrIy+vbti+PHj7fYDyMjI0RHR8PX17fZGdQdOnSAjo4O90lJSYFQKGwUEP7zzz/h5eUFJSUldOrUCV999RUvvaKiAtOmTYOWlhZUVVUxdOhQnD9/HsCrZyE8PBznz5/nnqO4uDgAwMaNG2FhYQElJSXo6+tj1qxZEIvFvLJdXFyQk5PDe2caqq2tRWBgIPeOLVq0CA2XkW+4ZMS2bdu4+6StrY0JEybwxq7hbFpra2vu+W9IIBAgNzcXK1as4L0nixcvhkgkglAohImJCUJCQrjnpaVxaWk8m5OQkAAXFxfeub59+2LDhg2YOHEi5OXlm73WxcUFCQkJLZZPCCGEEEIIIYR86CggTD4YT58+RWBgIHJycpCamgopKSm4ubk1Whd16dKlCAoKQl5eHkQiEby8vLhAYVZWFqZOnQp/f3/k5eXBwcEBq1atalTXtWvXcPDgQSQmJiIvLw91dXVwdXVFeXk5Tp48iZSUFFy/fh2enp7cNd7e3ujcuTOys7ORm5uL4OBgyMrKws7ODlFRUVBVVUVpaSlKS0sRFBQEAPD390dGRgYSEhJw4cIFuLu7w9nZGVevXuXKraqqQkREBPbt24fffvsNJSUl3PUAEB8fj+XLl2P16tUoKCjAmjVrEBISgj179gAAxGIxxowZA3Nzc+Tm5iIsLIx3fVNyc3Ph4eGBiRMn4uLFiwgLC0NISAgXaJPEqVOnIBKJoKKi0mye8vJyxMfHw87ODrKysrw+r169Gnv37kV6ejoqKiowceJEXtm+vr4ICAhAfn4+duzYgbi4OKxevRoAkJ2dDQCIjY1FaWkpdywWizFq1Cikpqbi3LlzcHZ2houLC0pKSiTulyR2796NiRMnQklJiXd+w4YNsLKywrlz5xAcHIyAgACkpKRw6e7u7njw4AF++eUX5ObmolevXhg2bBjKy8vh6emJBQsWoEePHtxzVP/8SUlJYfPmzbh8+TL27NmDX3/9FYsWLeLVbWBgAG1tbZw6darZdkdGRiIuLg7ffPMNTp8+jfLychw6dKjZ/Dk5OZg7dy5WrFiBwsJCJCcn4+OPP36TIQPwanmOHj16YMGCBbz3REVFBXFxccjPz0d0dDRiYmK42dotjUtL49mc06dPo0+fPm/U/n79+uHs2bOorq5uMr26uhpPnjzhfQghhBBCCCGEkA8NLRlBPhjjx4/nHX/zzTfQ0tJCfn4+evbsyZ0PCgriZqWGh4ejR48euHbtGrp3747o6Gg4OztzwTKRSIQzZ84gOTmZV3ZNTQ327t0LLS0tAEBKSgouXryIGzduQF9fHwCwd+9e9OjRA9nZ2ejbty9KSkqwcOFCdO/eHQBgamrKlaempgaBQMBblqGkpASxsbEoKSmBnp4e1/bk5GTExsZizZo1AIAXL15g+/bt6NKlC4BXQeTXl2EIDQ1FZGQkPvnkEwCAsbExFySdPHkyvv32W9TV1WH37t1QUFBAjx49cPv2bXz++efNjvXGjRsxbNgwhISEcOOUn5+PDRs2wM/Pr/mb9JqbN29y/Wpo8eLF2Lp1K6qqqjBgwAD8/PPPvPQXL15g69at6N+/PwBgz549MDMzw9mzZ9GvXz+Eh4cjODgYkydPBgCYmJhg5cqVWLRoEUJDQ7n7pq6uzhtzKysrWFlZcccrV67EoUOHcPjwYfj7+0vUr9acPXsWly5dwu7duxul2dvbIzg4GMCrMU1PT8emTZswfPhwnD59GmfPnsWDBw+4WagRERH48ccf8cMPP2DGjBlQVlaGjIxMo+U9Xp+xa2RkhFWrVmHmzJmNZorr6enh5s2bzbY9KioKS5Ys4Z6l7du34+jRo83mLykpgZKSEsaMGQMVFRUYGhrCxsam5QFqgY6ODmRkZKCsrMzr47Jly7ifjYyMEBQUhISEBCxatAiKiopNjosk49lQRUUFKisrm31uW6Onp4eamhrcu3evySUvvvzyS4SHh79R2YQQQgghhBBCyPtCM4TJB+Pq1avw8vKCiYkJVFVVuWUAGs7utLS05H7W1dUFADx48AAAUFBQwAUZ69na2jaqy9DQkAsq1l+nr6/PBYMBwNzcHOrq6igoKAAABAYGYtq0aXB0dMTatWtb/Go+AFy8eBG1tbUQiURQVlbmPidPnuRdKxQKuWBwfZ/q+/P06VMUFRVh6tSpvDJWrVrFlVFQUABLS0tu6Yvm+vy6goIC3hqqwKtg5tWrV1FbW9vitfWePXvGq/N1CxcuxLlz53Ds2DFIS0vD19eXtzSBjIwM+vbtyx13796dN9bnz5/HihUreH2ePn06SktLUVVV1WybxGIxgoKCYGZmBnV1dSgrK6OgoOCtzhDevXs3LCws0K9fv0ZpDcfd1taW1yexWAxNTU1ev27cuNHqs3T8+HEMGzYMnTp1goqKCnx8fFBWVtZoLBQVFZsdn8rKSpSWlvLeDxkZmRZnyw4fPhyGhoYwMTGBj48P4uPjWxz/N7V//37Y29tDR0cHysrKWLZsWav37E3G89mzZwDQ7HPbGkVFRQBodgyWLFmCyspK7tNwGRRCCCGEEEIIIeRDQDOEyQfDxcUFhoaGiImJgZ6eHurq6tCzZ0/eZl4AeEsPCAQCAGi0rERrGn7VXxJhYWGYNGkSkpKS8MsvvyA0NBQJCQlwc3NrMr9YLIa0tDRyc3MhLS3NS1NWVuZ+fr0/wKs+1QdP69eJjYmJaRTobljm+9axY0dcvHix2bSOHTtCJBLBzMwM+vr6yMzMbDVQXU8sFiM8PJybyfq6loJ5QUFBSElJQUREBLp27QpFRUVMmDCh0TP0pp4+fYqEhIRGG+lJQiwWQ1dXl7eGdD11dfVmrysuLsaYMWPw+eefY/Xq1ejQoQNOnz6NqVOnoqamBkKhkMtbXl7O+0PHX6WiooLff/8daWlpOHbsGJYvX46wsDBkZ2dDXV0dUlJSjdYgbrhWdGsyMjLg7e2N8PBwODk5QU1NDQkJCa2uaf0m46mpqQmBQIDHjx+3qY316peiaG6M5eXlW1yDmBBCCCGEEEII+RBQQJh8EMrKylBYWIiYmBgMGjQIwKuvhLeVmZkZsrKyeOcyMzMluu7WrVu4desWN0s4Pz8fFRUVMDc35/KJRCKIRCLMnz8fXl5eiI2NhZubG+Tk5BrNrLWxsUFtbS0ePHjA9amttLW1oaenh+vXr8Pb27vZtu/btw/Pnz/ngqWt9dnMzAzp6em8c+np6RCJRBIHmm1sbPD111+DMcYF5ptSH6x/fd3Vly9fIicnh5tlW1hYiIqKCpiZmQEAevXqhcLCQnTt2rXZcmVlZRuNeXp6Ovz8/LggvVgsRnFxsUT9kcSBAwdQXV2NTz/9tMn0huOemZnJ69O9e/cgIyPDzX5vqKnnKDc3F3V1dYiMjISU1KsvdXz//feNrn3+/DmKioqaXdJBTU0Nurq6yMrK4tYBfvnyJbf2bnNkZGTg6OgIR0dHhIaGQl1dHb/++is++eQTaGlp8TZAfPLkCW7cuNFsWU05c+YMDA0NsXTpUu5cw2UvmhoXScazITk5OZibmyM/Px8jRoxoUzsB4NKlS+jcuTM6duzY5msJIYQQQgghhJAPBQWEyQdBQ0MDmpqa2LlzJ3R1dVFSUsKtxdoWc+fOhb29PSIiIuDq6oqjR482Wj+4KY6OjrCwsIC3tzeioqLw8uVLzJo1C4MHD0afPn3w7NkzLFy4EBMmTICxsTFu376N7Oxsbt1jIyMjiMVipKamwsrKCkKhECKRCN7e3vD19UVkZCRsbGzw8OFDpKamwtLSklsHuTXh4eGYO3cu1NTU4OzsjOrqauTk5ODx48cIDAzEpEmTsHTpUkyfPh1LlixBcXExIiIiWixzwYIF6Nu3L1auXAlPT09kZGRg69atjdakbYmDgwPEYjEuX77MrfGclZWF7OxsDBw4EBoaGigqKkJISAi6dOnCmx0sKyuLOXPmYPPmzZCRkYG/vz8GDBjABYiXL1+OMWPGwMDAABMmTICUlBTOnz+PS5cucZsEGhkZITU1Ffb29pCXl4eGhgZMTU2RmJgIFxcXCAQChISESDR7PC8vD8CrAPLDhw+Rl5fHBQ9ft3v3bowbNw6amppNlpOeno7169dj3LhxSElJwYEDB5CUlATg1TNma2uLcePGYf369RCJRLh79y6SkpLg5uaGPn36wMjICDdu3EBeXh46d+4MFRUVdO3aFS9evMCWLVvg4uKC9PR0bN++vVHdmZmZkJeXb3EWdkBAANauXQtTU1N0794dGzduREVFRbP5f/75Z1y/fh0ff/wxNDQ0cOTIEdTV1aFbt24AgKFDhyIuLg4uLi5QV1fH8uXL2zxz3dTUFCUlJUhISEDfvn2RlJTUaKO7psZFkvFsipOTE06fPs1bl7mmpgb5+fncz3fu3EFeXh6UlZV5f5Q4derUGwWSCSEfjuK1kv23lxBCCCGEkH80RsgHIiUlhZmZmTF5eXlmaWnJ0tLSGAB26NAhxhhjN27cYADYuXPnuGseP37MALATJ05w53bv3s06d+7MFBUVmYuLC4uIiGBqampcemhoKLOysmpU/82bN9nYsWOZkpISU1FRYe7u7uzevXuMMcaqq6vZxIkTmb6+PpOTk2N6enrM39+fPXv2jLt+5syZTFNTkwFgoaGhjDHGampq2PLly5mRkRGTlZVlurq6zM3NjV24cIExxlhsbCyvbYwxdujQIdbw1YyPj2fW1tZMTk6OaWhosI8//pglJiZy6RkZGczKyorJyckxa2trdvDgQd5YnThxggFgjx8/5q754YcfmLm5OZOVlWUGBgZsw4YNvDoNDQ3Zpk2bGo3T6zw8PFhwcDB3fOHCBebg4MA6dOjA5OXlmZGREZs5cya7ffs2l6e+zwcPHmQmJiZMXl6eOTo6sps3b/LKTk5OZnZ2dkxRUZGpqqqyfv36sZ07d3Lphw8fZl27dmUyMjLM0NCQMfbqGXFwcGCKiopMX1+fbd26lQ0ePJgFBARw14WGhnL56wFo9GmY548//mAA2LFjx5ocC0NDQxYeHs7c3d2ZUChkOjo6LDo6mpfnyZMnbM6cOUxPT4/JysoyfX195u3tzUpKShhjjD1//pyNHz+eqaurMwAsNjaWMcbYxo0bma6uLlNUVGROTk5s7969je7njBkz2H/+858m21bvxYsXLCAggKmqqjJ1dXUWGBjIfH19maurK5fn9fE6deoUGzx4MNPQ0GCKiorM0tKS7d+/n8tbWVnJPD09maqqKtPX12dxcXHMysqKe/7rx7b+HWaMNUpnjLGFCxcyTU1NpqyszDw9PdmmTZt470Vz49LaeDbl8uXLTFFRkVVUVHDn6n+3NPwMHjyYy/Ps2TOmpqbGMjIyWhzj11VWVjIArLKyUuJrCCGEEEIIIYSQNyXpv0MFjDVYAJIQQiR04cIFDB8+HEVFRbx1kT9kkydPhkAgQFxcXHs35a159OgRunXrhpycHBgbG7d3cz547u7u6NWrF5YsWSLxNV9//TUOHTqEY8eOSXzNkydPoKamhsrKSqiqqr5JUwkhhBBCCCGEEIlJ+u9QqffYJkLIP4ylpSXWrVvX5nVj2wtjDGlpaVi5cmV7N+WtKi4uxrZt2ygYLKENGza0+Q8YsrKy2LJlyztqESGEEEIIIYQQ8v5QQJhILC4uDurq6u3djPequLgYAoGAW2M2LS0NAoGgxXVXGzIyMkJUVFSLeWpqatC1a1ecOXPmzRvbhCFDhvDWSpWEQCDAjz/+KHF+Pz8/WFhYtK1h75Gfnx/GjRsH4FXfbt68yW0c2BxJ7llrtm/fDhcXl79UhqT69OkDT0/P91JXW7w+9sCrgPyMGTPQoUMH3nv1PpWVlaFfv35tujfbt2/HTz/9xK2dTAghhBBCCCGE/J1RQJh8UD70oLOdnR1KS0uhpqb2Vsvdvn07jI2NYWdnx50bO3YsDAwMoKCgAF1dXfj4+ODu3btvtd72lJiYiBEjRkBTU7PJ4GB9ML6pz4EDB9qn0W3w2Wef4ffff8epU6fauykfjOTkZMTFxeHnn39GaWkptxlhSxr+UeavWr16NVxdXWFkZATgVYDY2dkZenp6kJeXh76+Pvz9/fHkyRPuGrqXhBBCCCGEEEL+SWTauwHkn6OmpgZycnLt3Yx3Sk5ODjo6Om+1TMYYtm7dihUrVvDOOzg44IsvvoCuri7u3LmDoKAgTJgw4a3PIm4vT58+xcCBA+Hh4YHp06c3StfX10dpaSnv3M6dO7FhwwaMHDnyfTXzjcnJyWHSpEnYvHkzBg0a1N7N+SAUFRVBV1eX94eP96mqqgq7d+/G0aNHuXNSUlJwdXXFqlWroKWlhWvXrmH27NkoLy/Ht99+C4DuJSHkn8UoOOmdlV28dvQ7K5sQQgghhLw9NEP4Hyg5ORkDBw6Euro6NDU1MWbMGBQVFXHp9TPuEhMT4eDgAKFQCCsrK2RkZPDKiYuLg4GBAYRCIdzc3FBWVsZLDwsLg7W1NXbt2gVjY2MoKCgAAEpKSuDq6gplZWWoqqrCw8MD9+/f5647f/48HBwcoKKiAlVVVfTu3Rs5OTlIS0vDlClTUFlZyc0EDQsLAwBUV1cjKCgInTp1gpKSEvr374+0tDReW9XV1XH06FGYmZlBWVkZzs7OjQKKu3btgpmZGRQUFNC9e3ds27aNl3727FnY2NhAQUEBffr0wblz53jpTS0ZcfDgQfTo0QPy8vIwMjJCZGSkZDfq/8vNzUVRURFGj+b/I2r+/PkYMGAADA0NYWdnh+DgYGRmZuLFixcAXs1s9PLyQqdOnSAUCmFhYYHvvvuuxbqMjIywcuVKeHl5QUlJCZ06dcJXX33VKN+jR4/g5uYGoVAIU1NTHD58mEurra3F1KlTYWxsDEVFRXTr1g3R0dFt6jMA+Pj4YPny5XB0dGwyXVpaGjo6OrzPoUOH4OHhwa3/+iZtGTJkCPz9/eHv7w81NTV07NgRISEhaLi/ZlVVFT777DOoqKjAwMAAO3fu5KUvXrwYIpEIQqEQJiYmCAkJ4e5NPRcXFxw+fBjPnj1rsT1z5szBvHnzoKGhAW1tbcTExODp06eYMmUKVFRU0LVrV/zyyy+8606ePIl+/fpBXl4eurq6CA4OxsuXL3nlzp07F4sWLUKHDh2go6PDvU/13vRdBf73/r8uKiqKm3nbkJ+fH+bMmYOSkhIIBAIuX2u/r+rXRbaxsYFAIMCQIUO4tNbe54aOHDkCeXl5DBgwgDunoaGBzz//HH369IGhoSGGDRuGWbNmNZoNLMm9JIQQQgghhBBC/g4oIPwP9PTpUwQGBiInJwepqamQkpKCm5sb6urqePmWLl2KoKAg5OXlQSQSwcvLiwsoZWVlYerUqfD390deXh4cHBywatWqRnVdu3YNBw8eRGJiIvLy8lBXVwdXV1eUl5fj5MmTSElJwfXr13nrm3p7e6Nz587Izs5Gbm4ugoODISsrCzs7O0RFRUFVVRWlpaUoLS1FUFAQAMDf3x8ZGRlISEjAhQsX4O7uDmdnZ1y9epUrt6qqChEREdi3bx9+++03lJSUcNcDQHx8PJYvX47Vq1ejoKAAa9asQUhICPbs2QMAEIvFGDNmDMzNzZGbm4uwsDDe9U3Jzc2Fh4cHJk6ciIsXLyIsLAwhISGIi4uT+H6dOnUKIpEIKioqzeYpLy9HfHw87OzsICsrCwB4/vw5evfujaSkJFy6dAkzZsyAj48Pzp4922J9GzZsgJWVFc6dO4fg4GAEBAQgJSWFlyc8PBweHh64cOECRo0aBW9vb5SXlwMA6urq0LlzZxw4cAD5+flYvnw5vvjiC3z//fcS9/lN5ObmIi8vD1OnTuXOvWlb9uzZAxkZGZw9exbR0dHYuHEjdu3axcsTGRnJ/VFg1qxZ+Pzzz1FYWMilq6ioIC4uDvn5+YiOjkZMTAw2bdrEK6NPnz54+fIlsrKyWm1Px44dcfbsWcyZMweff/453N3dYWdnh99//x0jRoyAj48PqqqqAAB37tzBqFGj0LdvX5w/fx5ff/01du/e3egd3bNnD5SUlJCVlYX169djxYoV3L3+K+/qm4iOjsaKFSvQuXNnlJaWIjs7G0Drv6/qn+fjx4+jtLQUiYmJAFp/n5ty6tQp9O7du8V23r17F4mJiRg8eDDvvKT3khBCCCGEEEII+eAx8o/38OFDBoBdvHiRMcbYjRs3GAC2a9cuLs/ly5cZAFZQUMAYY8zLy4uNGjWKV46npydTU1PjjkNDQ5msrCx78OABd+7YsWNMWlqalZSUNCr77NmzjDHGVFRUWFxcXJNtjY2N5dXBGGM3b95k0tLS7M6dO7zzw4YNY0uWLOGuA8CuXbvGpX/11VdMW1ubO+7SpQv79ttveWWsXLmS2draMsYY27FjB9PU1GTPnj3j0r/++msGgJ07d44xxtiJEycYAPb48WPGGGOTJk1iw4cP55W5cOFCZm5uzh0bGhqyTZs2NdlfxhgLCAhgQ4cObTJt0aJFTCgUMgBswIAB7NGjR82Wwxhjo0ePZgsWLOCOBw8ezAICAnhtcXZ25l3j6enJRo4cyR0DYMuWLeOOxWIxA8B++eWXZuudPXs2Gz9+fItta07981g/xs35/PPPmZmZWavlNWzL5MmTmaurK3c8ePBgZmZmxurq6rhzixcv5pVtaGjIPv30U+64rq6OffTRR+zrr79utt4NGzaw3r17NzqvoaHR7PNe356BAwdyxy9fvmRKSkrMx8eHO1daWsoAsIyMDMYYY1988QXr1q0brw9fffUVU1ZWZrW1tU2Wyxhjffv2ZYsXL2aM/fV3NTQ0lFlZWfHObdq0iRkaGnLHDce+YXpTmvt91fD5aO19boqrqyv77LPPmkybOHEiU1RUZACYi4sL7/dAvdbu5fPnz1llZSX3uXXrFgPAKisrm72GEELeN8PFP7+zDyGEEEIIaV+VlZUS/TuUZgj/A129ehVeXl4wMTGBqqoq99XskpISXj5LS0vuZ11dXQDAgwcPAAAFBQXo378/L7+trW2jugwNDaGlpcUdFxQUQF9fH/r6+tw5c3NzqKuro6CgAAAQGBiIadOmwdHREWvXruV9PbwpFy9eRG1tLUQiEZSVlbnPyZMnedcKhUJ06dKF16f6/jx9+hRFRUWYOnUqr4xVq1ZxZRQUFMDS0pJb+qK5Pr+uoKAA9vb2vHP29va4evUqamtrW7y23rNnz3h1vm7hwoU4d+4cjh07Bmlpafj6+nJLG9TW1mLlypWwsLBAhw4doKysjKNHjza6zw017JOtrS13b+q9/mwoKSlBVVWVG0sA+Oqrr9C7d29oaWlBWVkZO3fubLXev+LZs2f49ttvebOD/0pbBgwYAIFAwB3b2to2umevj4FAIICOjg5vDPbv3w97e3vo6OhAWVkZy5Yta7JeRUVFbmZvc16vS1paGpqamrCwsODOaWtrA+C/n7a2trw+2NvbQywW4/bt202WC/DfiXfxrr4JSX9fvU6S97kpLb1rmzZtwu+//46ffvoJRUVFCAwMbJSntXv55ZdfQk1Njfu8PraEEEIIIYQQQsiHgjaV+wdycXGBoaEhYmJioKenh7q6OvTs2RM1NTW8fK9/9bs+sNRwWYnWKCkptbl9YWFhmDRpEpKSkvDLL78gNDQUCQkJcHNzazK/WCyGtLQ0cnNzIS0tzUurX0sWQKOvsgsEAi54KhaLAQAxMTGNAt0Ny3zfOnbsiIsXLzab1rFjR4hEIpiZmUFfXx+ZmZmwtbXFhg0bEB0djaioKFhYWEBJSQnz5s1rdJ/fRFNjWf9sJCQkICgoCJGRkbC1tYWKigo2bNjwTr9K/8MPP6Cqqgq+vr688++yLS2NQUZGBry9vREeHg4nJyeoqakhISGhyfWjy8vLeX80kbSut/F+ttQHSbT0rkpJSTVad7nhGsqSkPT31eve9H3u2LEjHj9+3GRa/TrV3bt3R4cOHTBo0CCEhIRwfywDWr+XS5Ys4QWSnzx5QkFhQgghhBBCCCEfHAoI/8OUlZWhsLAQMTExGDRoEADg9OnTbS7HzMysUVAtMzNToutu3bqFW7ducYGQ/Px8VFRUwNzcnMsnEokgEokwf/58eHl5ITY2Fm5ubpCTk2s0s9bGxga1tbV48OAB16e20tbWhp6eHq5fvw5vb+9m275v3z48f/6cm0XYWp/NzMyQnp7OO5eeng6RSCRxoNnGxgZff/01GGO8GZ8N1QfyqquruXpcXV3x6aefculXrlzhjXNTGvYpMzMTZmZmErW1vl47OzvMmjWLO/cuZo6+bvfu3Rg7dmyjYNybtqWpZ9vU1FTie3bmzBkYGhpi6dKl3LmbN282yldUVITnz5/DxsZGonIlZWZmhoMHD/KemfT0dKioqKBz584Sl/FX3lUtLS3cu3eP14a8vLw29UOS31dycnIAwPu9IMn73BQbGxv83//9X6v5Gr5rgGT3Ul5eHvLy8hK3hxBCCCGEEEIIaQ8UEP6H0dDQgKamJnbu3AldXV2UlJQgODi4zeXMnTsX9vb2iIiIgKurK44ePYrk5ORWr3N0dISFhQW8vb0RFRWFly9fYtasWRg8eDD69OmDZ8+eYeHChZgwYQKMjY1x+/ZtZGdnY/z48QAAIyMjiMVipKamwsrKCkKhECKRCN7e3vD19UVkZCRsbGzw8OFDpKamwtLSEqNHj5aoT+Hh4Zg7dy7U1NTg7OyM6upq5OTk4PHjxwgMDMSkSZOwdOlSTJ8+HUuWLEFxcTEiIiJaLHPBggXo27cvVq5cCU9PT2RkZGDr1q3Ytm2bRG0CAAcHB4jFYly+fBk9e/YE8CpgmZ2djYEDB0JDQwNFRUUICQlBly5duCUfTE1N8cMPP+DMmTPQ0NDAxo0bcf/+/VYDwunp6Vi/fj3GjRuHlJQUHDhwAElJSRK319TUFHv37sXRo0dhbGyMffv2ITs7G8bGxhKXAbyabVlSUoK7d+8CALdhW/1MzXrXrl3Db7/9hiNHjry1tpSUlCAwMBD/+c9/8Pvvv2PLli1Nzu5tjqmpKUpKSpCQkIC+ffsiKSkJhw4dapTv1KlTMDEx4S1l8jbMmjULUVFRmDNnDvz9/VFYWIjQ0FAEBgZCSkqylYD+6rs6ZMgQPHz4EOvXr8eECROQnJyMX375BaqqqhL3Q5LfVx999BEUFRWRnJyMzp07Q0FBAWpqaq2+z01xcnLCkiVL8PjxY2hoaAAAjhw5gvv376Nv375QVlbG5cuXsXDhQtjb23PLVwDv7l4SQsj7VrxWsv9vIoQQQggh/1y0hvA/jJSUFBISEpCbm4uePXti/vz52LBhQ5vLGTBgAGJiYhAdHQ0rKyscO3YMy5Yta/U6gUCAn376CRoaGvj444/h6OgIExMT7N+/H8Crr3OXlZXB19cXIpEIHh4eGDlyJMLDwwEAdnZ2mDlzJjw9PaGlpYX169cDAGJjY+Hr64sFCxagW7duGDduHLKzs2FgYCBxn6ZNm4Zdu3YhNjYWFhYWGDx4MOLi4rjgobKyMv773//i4sWLsLGxwdKlS7Fu3boWy+zVqxe+//57JCQkoGfPnli+fDlWrFgBPz8/idulqakJNzc3xMfHc+eEQiESExMxbNgwdOvWDVOnToWlpSVOnjzJzUBctmwZevXqBScnJwwZMgQ6OjoYN25cq/UtWLAAOTk5sLGxwapVq7Bx40Y4OTlJ3N7//Oc/+OSTT+Dp6Yn+/fujrKyMN0MXANLS0iAQCFBcXNxsOYcPH4aNjQ0X0J84cSJsbGywfft2Xr5vvvkGnTt3xogRI96oLU3x9fXFs2fP0K9fP8yePRsBAQGYMWOGBL1/ZezYsZg/fz78/f1hbW2NM2fOICQkpFG+7777DtOnT5e4XEl16tQJR44cwdmzZ2FlZYWZM2di6tSpEr2j9f7qu2pmZoZt27bhq6++gpWVFc6ePYugoKA29UOS31cyMjLYvHkzduzYAT09Pbi6ugJo/X1uioWFBffO1lNUVERMTAwGDhwIMzMzzJ8/H2PHjsXPP//Mu/Zd3UtCCCGEEEIIIeR9E7CGi0ASQt67CxcuYPjw4SgqKuKti/y2GRkZYd68eZg3b947qwN4FcBfs2YN8vPzG61j296GDBkCa2trREVFvdN6Ll++jKFDh+LKlStQU1N7p3URySUlJWHhwoW4dOmSxLOp3/RePnnyBGpqaqisrGzTzGlCCCGEEEIIIeRNSPrvUJohTMgHwNLSEuvWrcONGzfauylvxZEjR7BmzZoPLhj8PpWWlmLv3r0UDP7AjB49GjNmzMCdO3ckvobuJSGEEEIIIYSQfxJaQ5iQD0Rblpn40B04cKC9m9DuHB0d27sJpBltnSFP95IQQgghhBBCyD8JzRAm5F+kuLj4nS8X0R6Ki4shEAiQl5cH4H9rGFdUVDTKm5aW9s6WixgyZMgHMb5xcXFQV1dvNZ9AIMCPP/74ztsDAB9//DG+/fbb91LX21ZTUwMjIyPk5OS0d1MIIYQQQgghhJC/jALChJB/HDs7O5SWlv5rv+Lv6emJK1eucMdhYWGwtrZulK+0tBQjR4585+05fPgw7t+/j4kTJ/LOnzt3Du7u7tDW1oaCggJMTU0xffp0XtuBVwFuS0tLKCgo4KOPPsLs2bNbrC8uLg4CgQACgQDS0tLQ0NBA//79sWLFClRWVjbKf+/ePcyZMwcmJiaQl5eHvr4+XFxckJqaCgCQk5NDUFAQFi9e/BdHghBCCCGEEEIIaX+0ZAQh5B9HTk4OOjo67d2Mt66mpgZycnKt5lNUVISiomKr+d7XGG3evBlTpkzhbeL2888/Y/z48XByckJ8fDy6dOmCBw8e4MCBAwgJCcH+/fsBABs3bkRkZCQ2bNiA/v374+nTpyguLm61TlVVVRQWFoIxhoqKCpw5cwZffvklYmNjkZ6eDj09PQCvZpfb29tDXV0dGzZsgIWFBV68eIGjR49i9uzZ+OOPPwAA3t7eWLBgAS5f/n/s3XlUVdXbwPHvBWQGGUQZRFCRUUAMB6RS08SJ1BzRVBwz5xSnn5oozqE5pWkZqOE8ZWoOkJribIKp5JSIJmZOIA6AcN4/XJzXK6NmSfV81rprdc7Ze59nn3suLZ+773PO4OXl9eovkhBC/E2cR2973SEI8ZdInt7idYcghBBC/GPICmEhRKmyY8cO3nzzTSwsLLC2tqZly5ZcunRJq83Ro0fx8/PD0NAQf39/Tp48qXX8+ZIReSUUNm/eTLVq1TA0NCQoKIirV69q9Vu0aBFVq1ZFX18fNzc3VqxYoR7r2bMnLVu21GqfnZ1N+fLlWbp0aYFzyczMZNSoUTg6OmJgYICLi4vaNicnh169elG5cmWMjIxwc3Nj7ty5Wv1DQ0Np3bo1U6ZMwd7eHjc3N7U8xsaNG2nYsCHGxsb4+vpy6NAhtd+zJSOio6OZOHEiiYmJ6qrZ6OhoQLtkREnGBThw4ABvvfUWRkZGODo6MnjwYB48eFDg/AH++OMPfvjhB4KDg9V9Dx8+pEePHjRv3pwtW7bQuHFjKleuTJ06dYiMjGTx4sUA3L17l3HjxrF8+XI6d+5M1apV8fHx4b333iv0fHk0Gg22trbY2dnh4eFBr169OHjwIBkZGYwcOVJt179/fzQaDUePHqVt27a4urri5eXFsGHDOHz4sNrO0tKSwMBAVq9eXey5hRBCCCGEEEKI0kwSwkKIUuXBgwcMGzaM48ePExcXh46ODm3atCE3NxeAjIwMWrZsiaenJydOnCA8PJywsLBix3348CFTpkxh+fLlxMfHc+/ePa0SBps2bWLIkCEMHz6c06dP8+GHH9KjRw/27NkDQO/evdmxYwepqalqn61bt/Lw4UM6duxY4Dm7devGqlWrmDdvHklJSSxevBhTU1MAcnNzqVixIuvWrePs2bN88skn/O9//2Pt2rVaY8TFxXHu3Dl2797N1q1b1f1jx44lLCyMhIQEXF1dCQkJ4cmTJ/li6NixI8OHD8fLy4vU1FRSU1MLjbe4cS9dukTTpk1p27Ytp06dYs2aNRw4cICBAwcWOt6BAwcwNjbGw8ND3bdz505u3bqllZh9Vl4ye/fu3eTm5vLbb7/h4eFBxYoV6dChQ75EfkmVL1+eLl26sGXLFnJycrhz5w47duxgwIABmJiYFBpHntq1a7N///6XOrcQQgghhBBCCFFaSMkIIUSp0rZtW63tr7/+GhsbG86ePUv16tVZuXIlubm5LF26FENDQ7y8vLh27RofffRRkeNmZ2ezYMEC6tSpA8CyZcvw8PDg6NGj1K5dm8jISEJDQ+nfvz+AukI0MjKShg0bUq9ePXXVcF4iMyoqivbt26tJ3medP3+etWvXsnv3bho3bgxAlSpV1ONlypRh4sSJ6nblypU5dOgQa9eupUOHDup+ExMTvvrqK7VURF65hLCwMFq0ePrTyIkTJ+Ll5cXFixdxd3fXisPIyAhTU1P09PRKVCKiqHGnTZtGly5d1AfnVatWjXnz5lG/fn0WLVqEoaFhvvGuXLlChQoVtMpFXLhwASBfrM/79ddfyc3NZerUqcydO5eyZcsybtw43n33XU6dOlWi8hnPc3d35/79+9y+fZvk5GQURSk2jjz29vZcuXKl0OOZmZlkZmaq2+np6S8cnxBCCCGEEEII8VeTFcJCiFLlwoULhISEUKVKFczNzXF2dgYgJSUFgKSkJPUBY3kCAgKKHVdPT49atWqp2+7u7lhYWJCUlKSOGxgYqNUnMDBQPQ5PVwlHRUUB8Pvvv/P999/Ts2fPAs+XkJCArq4u9evXLzSmzz//nDfeeAMbGxtMTU1ZsmSJOs883t7eBSY+fXx81P+2s7MD4ObNm4Weq6SKGjcxMZHo6GhMTU3VV1BQELm5uVy+fLnA8R49epQvUawoSoliyc3NJTs7m3nz5hEUFETdunVZtWoVFy5cUFduPxtLv379ih0z79wajabEceQxMjLi4cOHhR6fNm0aZcuWVV+Ojo4vNL4QQgghhBBCCPF3kBXCQohSJTg4GCcnJ7788kvs7e3Jzc2levXqZGVlve7Q6NatG6NHj+bQoUMcPHiQypUr89ZbbxXYtriHuq1evZqwsDBmzZpFQEAAZmZmfPrppxw5ckSrXUGlDODpCuM8Go0GQC2r8WcUNW5GRgYffvghgwcPztevUqVKBY5Xrlw57t69q7XP1dUVgF9++aXIZH5eQtrT01PdZ2NjQ7ly5dTEeUJCgnrM3Ny80LHyJCUlYW5ujrW1Nbq6umg0GvXBccW5c+cONjY2hR4fM2YMw4YNU7fT09MlKSyEEEIIIYQQotSRFcJCiFLj9u3bnDt3jnHjxtGoUSM8PDzyJRM9PDw4deoUjx8/Vvc9+/Cvwjx58oTjx4+r2+fOnePevXtqbVsPDw/i4+O1+sTHx2slI62trWndujVRUVFER0fTo0ePQs/n7e1Nbm4u+/btK/B4fHw89erVo3///vj5+eHi4pLv4Xmvir6+Pjk5OX96nJo1a3L27FlcXFzyvQor3+Dn58eNGze03scmTZpQrlw5Zs6cWWCfvIcB5q3YPnfunHrszp073Lp1CycnJwCtGMqXL19k/Ddv3mTlypW0bt0aHR0drKysCAoK4vPPPy/wwXh5ceQ5ffo0fn5+hY5vYGCAubm51ksIIYQQQgghhChtZIWwEKLUsLS0xNramiVLlmBnZ0dKSgqjR4/WatO5c2fGjh1Lnz59GDNmDMnJyURGRhY7dpkyZRg0aBDz5s1DT0+PgQMHUrduXWrXrg3AiBEj6NChA35+fjRu3JjvvvuOjRs3EhsbqzVO7969admyJTk5OXTv3r3Q8zk7O9O9e3d69uzJvHnz8PX15cqVK9y8eZMOHTpQrVo1li9fzs6dO6lcuTIrVqzg2LFjVK5c+SWuXNGcnZ25fPkyCQkJVKxYETMzMwwMDF54nFGjRlG3bl0GDhxI7969MTEx4ezZs+zevZsFCxYU2MfPz49y5coRHx9Py5Ytgf+vi9y+fXvee+89Bg8ejIuLC7du3WLt2rWkpKSwevVqXF1dadWqFUOGDGHJkiWYm5szZswY3N3dadiwYZGxKorCjRs3UBSFe/fucejQIaZOnUrZsmWZPn262u7zzz8nMDCQ2rVrM2nSJHx8fHjy5Am7d+9m0aJFWiVD9u/fT0RExAtfNyGEKE2Sp7d43SEIIYQQQojXTFYICyFKDR0dHVavXs2JEyeoXr06H3/8MZ9++qlWG1NTU7777jt+/vln/Pz8GDt2LDNmzCh2bGNjY0aNGkXnzp0JDAzE1NSUNWvWqMdbt27N3LlziYyMxMvLi8WLFxMVFUWDBg20xmncuDF2dnYEBQVhb29f5DkXLVpEu3bt6N+/P+7u7vTp00ddifrhhx/y/vvv07FjR+rUqcPt27fVB9q9am3btqVp06Y0bNgQGxsbVq1a9VLj+Pj4sG/fPs6fP89bb72Fn58fn3zySZHXQVdXlx49ehATE6O1v1WrVhw8eJAyZcrQuXNn3N3dCQkJIS0tjcmTJ6vtli9fTp06dWjRogX169enTJky7NixQ6u0RUHS09Oxs7PDwcGBgIAAFi9eTPfu3Tl58qRaigKePujvp59+omHDhgwfPpzq1avz7rvvEhcXx6JFi9R2hw4dIi0tjXbt2r3oZRNCCCGEEEIIIUoVjfKiT9URQoh/mOjoaIYOHZqvBMDLyMjIwMHBgaioKN5///0/H9x/wI0bN/Dy8uKnn35SSz3803Ts2BFfX1/+97//lbhPeno6ZcuWJS0tTcpHCCGEEEIIIYT4y5X036GyQlgIIUogNzeXmzdvEhERgYWFBe+9997rDukfw9bWlqVLl6oPgvunycrKwtvbm48//vh1hyKEEEIIIYQQQvxpUkNYCCFKICUlhcqVK1OxYkWio6PR05M/ny+idevWrzuEl6avr8+4ceNedxhCCCGEEEIIIcQrISuEhRD/eqGhoX+6XISzszOKonD16lUaNWr0agJ7CXv37kWj0byS8hd/lrOzM3PmzCmyTXh4ODVq1Phb4omLi8PDw4OcnJxXOm5WVhbOzs4cP378lY4rhBBCCCGEEEK8DpIQFkKI10Sj0bB58+bXHcZLO3bsGH379lW3C5pPWFgYcXFxf0s8I0eOZNy4cejq6qr7srKymDlzJr6+vhgbG1OuXDkCAwOJiooiOzsbgGnTplGrVi3MzMwoX748rVu35ty5c+oY+vr6hIWFMWrUqL9lHkIIIYQQQgghxF9JfvMshBBCS3Z2NmXKlCm2nY2NTbFtTE1NMTU1fRVhFenAgQNcunSJtm3bqvuysrIICgoiMTGRiIgIAgMDMTc35/Dhw0RGRuLn50eNGjXYt28fAwYMoFatWjx58oT//e9/NGnShLNnz2JiYgJAly5dGD58OGfOnMHLy+svn48QQvxVnEdve90hCFGo5OktXncIQgghxH+CrBAWQogC7NixgzfffBMLCwusra1p2bIlly5d0mpz7do1QkJCsLKywsTEBH9/f44cOaIe//bbb6lZsyaGhoZUqVKFiRMn8uTJE+BpuQWANm3aoNFocHZ2Jjk5GR0dnXylCebMmYOTkxO5ubkFxhofH0+DBg0wNjbG0tKSoKAg7t69W6J5JCcno9FoWLNmDfXr18fQ0JCYmBhCQ0Np3bo1kZGR2NnZYW1tzYABA9RVtXlzyCsZUdB8IH/JiJKMm5mZSVhYGA4ODpiYmFCnTh327t1b5Pu1evVq3n33XQwNDbWu248//khcXBwDBgygRo0aVKlShc6dO3PkyBGqVaumXqPQ0FC8vLzw9fUlOjqalJQUTpw4oY5laWlJYGAgq1evLjIOIYQQQgghhBCitJOEsBBCFODBgwcMGzaM48ePExcXh46ODm3atFGTshkZGdSvX5/ffvuNLVu2kJiYyMiRI9Xj+/fvp1u3bgwZMoSzZ8+yePFioqOjmTJlCvC03AJAVFQUqampHDt2DGdnZxo3bkxUVJRWLFFRUYSGhqKjk/9PdkJCAo0aNcLT05NDhw5x4MABgoOD1Tq6xc0jz+jRoxkyZAhJSUkEBQUBsGfPHi5dusSePXtYtmwZ0dHRREdHF3i9CppPYYobd+DAgRw6dIjVq1dz6tQp2rdvT9OmTblw4UKhY+7fvx9/f3+tfTExMTRu3Bg/P7987cuUKaOu/n1eWloaAFZWVlr7a9euzf79+wuNQQghhBBCCCGE+CeQkhFCCFGAZ0sPAHz99dfY2Nhw9uxZqlevzsqVK/njjz84duyYmjh0cXFR20+cOJHRo0fTvXt3AKpUqUJERAQjR45kwoQJarkFCwsLbG1t1X69e/emX79+zJ49GwMDA3766Sd+/vlnvv322wLjnDlzJv7+/ixcuFDd92xJg+LmkWfo0KG8//77Wm0tLS1ZsGABurq6uLu706JFC+Li4ujTp0++OAqbT0GKGjclJYWoqChSUlKwt7cHntYh3rFjB1FRUUydOrXAMa9cuaK2z3PhwgUaNGhQZCzPy83NZejQoQQGBmpdHwB7e3uuXLlSaN/MzEwyMzPV7fT09Bc6txBCCCGEEEII8XeQFcJCCFGACxcuEBISQpUqVTA3N1dLIKSkpABPV+b6+fnlW0WaJzExkUmTJqk1dE1NTenTpw+pqak8fPiw0PO2bt0aXV1dNm3aBEB0dDQNGzZUz/+8vBXCLzuPPM+vroWnieVnH9BmZ2fHzZs3Cz1XSRU17s8//0xOTg6urq5a127fvn35SnY869GjR1rlIgAURXnh2AYMGMDp06cLLA1hZGRU5Hs3bdo0ypYtq74cHR1f+PxCCCGEEEIIIcRfTVYICyFEAYKDg3FycuLLL7/E3t6e3NxcqlevTlZWFvA0OViUjIwMJk6cmG/VLZAvcfksfX19unXrRlRUFO+//z4rV65k7ty5hbYvLo7i5pGnoPIJzz9YTqPRFFrH+EUUNW5GRga6urqcOHFCK2kMFPlwunLlyql1k/O4urryyy+/lDiugQMHsnXrVn788UcqVqyY7/idO3eKfJDemDFjGDZsmLqdnp4uSWEhhBBCCCGEEKWOJISFEOI5t2/f5ty5c3z55Ze89dZbABw4cECrjY+PD1999RV37twpcJVwzZo1OXfunFYZieeVKVNGrfX7rN69e1O9enUWLlzIkydPCkwqPxtHXFwcEydOfKl5vEqFzedF+Pn5kZOTw82bN9WYS9rv7NmzWvs6d+7M//73P06ePJmvjnB2djZZWVmYmJigKAqDBg1i06ZN7N27l8qVKxd4jtOnTxdYjziPgYEBBgYGJY5ZCCGEEEIIIYR4HSQhLIQQz7G0tMTa2polS5ZgZ2dHSkoKo0eP1moTEhLC1KlTad26NdOmTcPOzo6TJ09ib29PQEAAn3zyCS1btqRSpUq0a9cOHR0dEhMTOX36NJMnTwbA2dmZuLg4AgMDMTAwwNLSEgAPDw/q1q3LqFGj6NmzZ5GrgMeMGYO3tzf9+/enX79+6Ovrs2fPHtq3b4+VlVWx83iVCpvPi3B1daVLly5069aNWbNm4efnxx9//EFcXBw+Pj60aNGiwH5BQUEsW7ZMa9/QoUPZtm0bjRo1IiIigjfffBMzMzOOHz/OjBkzWLp0KTVq1GDAgAGsXLmSb7/9FjMzM27cuAFA2bJlta79/v37iYiIeOE5CSFEaZI8veC/o0IIIYQQ4r9DaggLIcRzdHR0WL16NSdOnKB69ep8/PHHfPrpp1pt9PX12bVrF+XLl6d58+Z4e3szffp0tcxBUFAQW7duZdeuXdSqVYu6devy2Wef4eTkpI4xa9Ysdu/ejaOjY76Vp7169SIrK4uePXsWGaurqyu7du0iMTGR2rVrExAQwLfffouenl6J5vEqFTWfFxEVFUW3bt0YPnw4bm5utG7dmmPHjlGpUqVC+3Tp0oUzZ85w7tw5dZ+BgQG7d+9m5MiRLF68mLp161KrVi3mzZvH4MGD1YfGLVq0iLS0NBo0aICdnZ36WrNmjTrWoUOHSEtLo127di89LyGEEEIIIYQQojTQKC/z1B0hhBB/qYiICNatW8epU6dedyj/GCNGjCA9PZ3Fixe/8rE7duyIr68v//vf/0rcJz09nbJly5KWloa5ufkrj0kIIYQQQgghhHhWSf8dKiuEhRCiFMnIyOD06dMsWLCAQYMGve5w/lHGjh2Lk5PTK3nw3bOysrLw9vbm448/fqXjCiGEEEIIIYQQr4OsEBZCiFIkNDSUVatW0bp1a1auXKmWoBD/PLJCWAghhBBCCCHE30lWCAshxD9QdHQ0mZmZrFmz5j+RDN67dy8ajYZ79+697lCEEEIIIYQQQoj/BEkICyHEv8T9+/cZOnQoTk5OGBkZUa9ePY4dO1Zo+9TUVDp37oyrqys6OjoMHTq0wHbr1q3D3d0dQ0NDvL292b59e7GxODs7o9Fo0Gg0GBkZ4ezsTIcOHfjhhx+02tWrV4/U1FTKli0LFJ0gdnZ2Zs6cOVr7Dh48SPPmzbG0tFTjmz17Njk5OVrt8mI5fPiw1v7MzEysra3RaDTs3bs3X/vnX6tXry527kIIIYQQQgghRGmm97oDEEII8Wr07t2b06dPs2LFCuzt7fnmm29o3LgxZ8+excHBIV/7zMxMbGxsGDduHJ999lmBYx48eJCQkBCmTZtGy5YtWblyJa1bt+ann36ievXqRcYzadIk+vTpQ1ZWFsnJyWo8ERERjB07FgB9fX1sbW1far6bNm2iQ4cO9OjRgz179mBhYUFsbCwjR47k0KFDrF27Fo1Go7Z3dHQkKiqKunXrao1hamrKnTt38o0fFRVF06ZNtfZZWFi8VKxCCFFSzqO3/aXjJ09v8ZeOL4QQQgghSj9ZISyEEP8Cjx49YsOGDcycOZO3334bFxcXwsPDcXFxYdGiRQX2cXZ2Zu7cuXTr1k1dofu8uXPn0rRpU0aMGIGHhwcRERHUrFmTBQsWFBuTmZkZtra2VKpUibfffpslS5Ywfvx4PvnkE86dOwe8fMmIBw8e0KdPH9577z2WLFlCjRo1cHZ2pnfv3ixbtoz169ezdu1arT7du3dn9erVPHr0SN339ddf07179wLPYWFhga2trdbL0NDwheIUQgghhBBCCCFKG0kICyHEv8CTJ0/IycnJl7A0MjLiwIEDLz3uoUOHaNy4sda+oKAgDh069FLjDRkyBEVR+Pbbb186JoBdu3Zx+/ZtwsLC8h0LDg7G1dWVVatWae1/4403cHZ2ZsOGDQCkpKTw448/0rVr1z8VixBCCCGEEEII8U8iCWEhhPgXMDMzIyAggIiICK5fv05OTg7ffPMNhw4dIjU19aXHvXHjBhUqVNDaV6FCBW7cuPFS41lZWVG+fHmSk5OLbFexYkVMTU21XikpKerx8+fPA+Dh4VFgf3d3d7XNs3r27MnXX38NPH2AX/PmzbGxsSlwjJCQkCJjeF5mZibp6elaLyGEEEIIIYQQorSRhLAQQvxLrFixAkVRcHBwwMDAgHnz5hESEoKOzl/3p37q1KklTpjmURRFq7ZvQfbv309CQoLWy97evsCxXsQHH3zAoUOH+PXXX4mOjqZnz56Ftv3ss89KFEOeadOmUbZsWfXl6Oj4QrEJIYQQQgghhBB/B3monBBC/EtUrVqVffv28eDBA9LT07Gzs6Njx45UqVLlpce0tbXl999/19r3+++/qw+C69evHx06dFCPFZUwBbh9+zZ//PEHlStXLrJd5cqV8z3ATU/v//+X5erqCkBSUhL16tXL1z8pKQlPT898+62trWnZsiW9evXi8ePHNGvWjPv37xcYg62tLS4uLkXG+awxY8YwbNgwdTs9PV2SwkIIIYQQQgghSh1ZISyEEP8yJiYm2NnZcffuXXbu3EmrVq1eeqyAgADi4uK09u3evZuAgADgaQkIFxcX9fVs0rYgc+fORUdHh9atW790TABNmjTBysqKWbNm5Tu2ZcsWLly4QEhISIF9e/bsyd69e+nWrRu6urp/Ko5nGRgYYG5urvUSQgghhBBCCCFKG1khLIQQ/xI7d+5EURTc3Ny4ePEiI0aMwN3dnR49ehTaJyEhAYCMjAz++OMPEhIS0NfXV1fXDhkyhPr16zNr1ixatGjB6tWrOX78OEuWLCk2nvv373Pjxg2ys7O5fPky33zzDV999RXTpk17oZW3BTExMWHx4sV06tSJvn37MnDgQMzNzYmLi2PEiBG0a9dOa+Xys5o2bcoff/xRbML23r17+Wolm5mZYWJi8qdiF0KIoiRPb/G6QxBCCCGEEP9yskJYCCH+JdLS0hgwYADu7u5069aNN998k507d1KmTBkAwsPDcXZ21urj5+eHn58fJ06cYOXKlfj5+dG8eXP1eL169Vi5ciVLlizB19eX9evXs3nzZqpXr15sPJ988gl2dna4uLjQtWtX0tLSiIuLY9SoUa9kvu3atWPPnj2kpKTw1ltv4ebmxmeffcbYsWNZvXp1oXWKNRoN5cqVQ19fv8jxe/TogZ2dndZr/vz5ryR2IYQQQgghhBDiddEoL/pEHiGEEP9I3bt3R6PREB0d/bpD+U9IT0+nbNmypKWlSfkIIYQQQgghhBB/uZL+O1RKRgghxH+Aoijs3buXAwcOvO5QhBBCCCGEEEII8RpJQlgIIf4DNBoNV65ced1hCCGEEEIIIYQQ4jWTGsLilQsPD6dGjRov1KdBgwYMHTq0VMTyOscVf15ycjIajUZ9WNrLcnZ2Zs6cOa8kpv+apUuX0qRJk9cdxitVt25dNmzY8LrDEEIIIYQQQggh/jRJCP+HOTs7o9Fo8r0GDBjwukMTf0J4eDju7u6YmJhgaWlJ48aNOXLkyOsOq1gXL17EzMwMCwuL1x3KKxcdHV2q5/Uqv+B4/Pgx48ePZ8KECeq+Bg0aFPi3pkWLFkWOVVhS/nV8ITNu3DhGjx5Nbm7u33peIYQQQgghhBDiVZOSEf9hx44dIycnR90+ffo07777Lu3bt3+NUf07ZGVloa+v/1rO7erqyoIFC6hSpQqPHj3is88+o0mTJly8eBEbG5vXElNxsrOzCQkJ4a233uLgwYOvOxzxJ6xfvx5zc3MCAwPVfRs3biQrK0vdvn37Nr6+vv+ovzXNmjWjd+/efP/998UmsoUQpYvz6G2vO4RSJXm6/A0TQgghhPivkxXC/2E2NjbY2tqqr61bt1K1alXq169fZL9Ro0bh6uqKsbExVapUYfz48WRnZxfaPjQ0lNatWzNx4kRsbGwwNzenX79+WgkigNzcXEaOHImVlRW2traEh4drHZ89ezbe3t6YmJjg6OhI//79ycjIKNFcV6xYgbOzM2XLlqVTp07cv38fgOXLl2NtbU1mZqZW+9atW9O1a1d1e/r06VSoUAEzMzN69erF48ePC5zjlClTsLe3x83NDYCff/6Zd955ByMjI6ytrenbt68a8969e9HX12f//v3qODNnzqR8+fL8/vvvJY7teZ07d6Zx48ZUqVIFLy8vZs+eTXp6OqdOnSryGqWkpNCqVStMTU0xNzenQ4cO/P777wD88ssvGBsbs3LlSrX92rVrMTIy4uzZs8X2L864ceNwd3enQ4cOJWqfm5vLzJkzcXFxwcDAgEqVKjFlyhStNr/++isNGzbE2NgYX19fDh06pHV8w4YNeHl5YWBggLOzM7NmzSrynPfu3aN3797qPfzOO++QmJioHk9MTKRhw4aYmZlhbm7OG2+8wfHjx9m7dy89evQgLS1NXRmbd29nZmYSFhaGg4MDJiYm1KlTh71796pj5q0s3rlzJx4eHpiamtK0aVNSU1O1rsWkSZOoWLEiBgYG1KhRgx07dmjFXtRnNjo6mokTJ5KYmKjGFx0dXaI5F2T16tUEBwdr7cv7TOe9du/ejbGx8StLCJfkGly7do2QkBCsrKwwMTHB399fXTl/6dIlWrVqRYUKFTA1NaVWrVrExsZq9dfV1aV58+asXr36lcQshBBCCCGEEEK8LpIQFsDTFa3ffPMNPXv2RKPRFNnWzMyM6Ohozp49y9y5c/nyyy/57LPPiuwTFxdHUlISe/fuZdWqVWzcuJGJEydqtVm2bBkmJiYcOXKEmTNnMmnSJHbv3q0e19HRYd68eZw5c4Zly5bxww8/MHLkyGLndunSJTZv3szWrVvZunUr+/btY/r06QC0b9+enJwctmzZora/efMm27Zto2fPnsDTxGd4eDhTp07l+PHj2NnZsXDhwgLneO7cOXbv3s3WrVt58OABQUFBWFpacuzYMdatW0dsbCwDBw4E/r9ucteuXUlLS+PkyZOMHz+er776igoVKpQotuJkZWWxZMkSypYti6+vb6HtcnNzadWqFXfu3GHfvn3s3r2bX3/9lY4dOwLg7u5OZGQk/fv3JyUlhWvXrtGvXz9mzJiBp6dnsf2L8sMPP7Bu3To+//zzEs0JYMyYMUyfPp3x48dz9uxZVq5cSYUKFbTajB07lrCwMBISEnB1dSUkJIQnT54AcOLECTp06ECnTp34+eefCQ8PZ/z48WoitCDt27fn5s2bfP/995w4cYKaNWvSqFEj7ty5A0CXLl2oWLEix44d48SJE4wePZoyZcpQr1495syZg7m5OampqaSmphIWFgbAwIEDOXToEKtXr+bUqVO0b9+epk2bcuHCBfW8Dx8+JDIykhUrVvDjjz+SkpKi9geYO3cus2bNIjIyklOnThEUFMR7772nNUZRn9mOHTsyfPhwvLy81Pjy3rfi5lyQAwcO4O/vX+T7t3TpUjp16oSJiUmR7UqquGuQkZFB/fr1+e2339iyZQuJiYmMHDlSLf+QkZFB8+bNiYuL4+TJkzRt2pTg4GBSUlK0zlO7dm2tL3Cel5mZSXp6utZLCCGEEEIIIYQobTSKoiivOwjx+q1du5bOnTuTkpKCvb39C/WNjIxk9erVHD9+HHha33Pz5s3qQ71CQ0P57rvvuHr1KsbGxgB88cUXjBgxgrS0NHR0dGjQoAE5OTlayZbatWvzzjvvqMnb561fv55+/fpx69atQmMLDw/n008/5caNG5iZmQEwcuRIfvzxRw4fPgxA//79SU5OZvv27cDTlciff/45Fy9eRKPRUK9ePfz8/LQSlnXr1uXx48dac9yxYwcpKSlqqYgvv/ySUaNGcfXqVTXxtX37doKDg7l+/ToVKlQgKyuLOnXq4OrqyunTpwkMDGTJkiXqeYqLrTBbt26lU6dOPHz4EDs7OzZv3kytWrUKbb97926aNWvG5cuXcXR0BODs2bN4eXlx9OhRtW/Lli1JT09HX18fXV1dduzYgUajKXH/592+fRs/Pz+++eYb3n77baKjoxk6dCj37t0rNNb79+9jY2PDggUL6N27d77jycnJVK5cma+++opevXppxZKUlIS7uztdunThjz/+YNeuXWq/kSNHsm3bNs6cOQM8rV87dOhQhg4dyoEDB2jRogU3b97EwMBA7ePi4sLIkSPp27cv5ubmzJ8/n+7du+eLqaB5paSkUKVKlXyfucaNG1O7dm2mTp1KdHQ0PXr04OLFi1StWhWAhQsXMmnSJG7cuAGAg4MDAwYM4H//+586Ru3atalVq1ahSfbiPrNAieb8vHv37mFpacmPP/7IW2+9VeC5jx49Sp06dThy5Ai1a9cusE0eZ2dnUlNTKVOmjNb+rKwsPD091XiLuwZLliwhLCyM5ORkrKysijxnnurVq9OvXz/1CxyALVu20KZNG7Kzs9HRyf99anh4eL4vugDS0tIwNzcv0XmFEK+elIzQJiUjhBBCCCH+vdLT0ylbtmyx/w6VFcICeLpir1mzZlqJqX79+mFqaqq+8qxZs4bAwEBsbW0xNTVl3Lhx+VbSPc/X11dNBgMEBASQkZHB1atX1X0+Pj5afezs7Lh586a6HRsbS6NGjXBwcMDMzIyuXbty+/ZtHj58CKAVa79+/dR+zs7OajK4oHH79OnDrl27+O2334CnybvQ0FA14ZqUlESdOnW0YgsICMg3R29vb626wUlJSfj6+mqtggwMDCQ3N5dz584BoK+vT0xMDBs2bODx48f5VloXFVtMTIzWnJ9Npjds2JCEhAQOHjxI06ZN6dChgzrnZs2aqX28vLzUWB0dHdVkLoCnpycWFhYkJSWp+77++mtOnTrFTz/9RHR0tNY1Kq6/l5eXet5mzZqp8+vcuTNvv/12vusJsH//fq05xsTEkJSURGZmJo0aNSqwT55n7yc7OzsA9RokJSVp1biFp+/NhQsXtOpq50lMTCQjIwNra2uteC5fvsylS5cAGDZsGL1796Zx48ZMnz5d3V+Yn3/+mZycHFxdXbXG3Ldvn1ZfY2NjNRmcN5e8eaSnp3P9+vUC5/Ls+/Yyn9mSzPl5jx49AsDQ0LDQcZcuXYq3t7dWMnjq1Kla53g2thEjRpCQkKD1evbzXZJrkJCQgJ+fX6HJ4IyMDMLCwvDw8MDCwgJTU1OSkpLyXSMjIyNyc3PzlXHJM2bMGNLS0tTXs3/fhBBCCCGEEEKI0kIeKie4cuUKsbGxbNy4UWv/pEmTtH6aDnDo0CG6dOnCxIkTCQoKomzZsqxevbrY+qsl8fwqQI1Go/6kOzk5mZYtW/LRRx8xZcoUrKysOHDgAL169SIrKwtjY2Ot1Y3PfgtS1LgAfn5++Pr6snz5cpo0acKZM2fYtu3FVxO97M/f8x6idufOHe7cuaM1TlGxvffee1qJagcHB61YXFxccHFxoW7dulSrVo2lS5cyZswYvvrqKzVx9/y1KU5iYiIPHjxAR0eH1NRUNdFaEtu3b1fr1hoZGQFPy0Vs2bKFyMhIABRFITc3Fz09PZYsWUJISIjW+1qhQgWSk5NLdL5n55aXuH72fX8RGRkZ2NnZadX3zWNhYQE8XR3auXNntm3bxvfff8+ECRNYvXo1bdq0KXRMXV1dTpw4ga6urtaxZ7+AKej+fZEfdrzsZ7Ykc36etbU1Go2Gu3fvFnj8wYMHrF69mkmTJmnt79evn1b96Ge/mCpXrhwuLi5a7Uu6yjdP3v1WmLCwMHbv3k1kZCQuLi4YGRnRrl27fHXO8z6fhY1nYGCgtZpaCCGEEEIIIYQojSQhLIiKiqJ8+fK0aKH9E8Ly5ctTvnx5rX0HDx7EycmJsWPHqvuuXLlS7DkSExN59OiRmkg5fPgwpqamWitKi3LixAlyc3OZNWuW+lPttWvXarV5Pmn0Inr37s2cOXP47bffaNy4sVZcHh4eHDlyhG7duqn78spNFMXDw4Po6GgePHigJnnj4+PR0dFRHzp36dIlPv74Y7788kvWrFlD9+7diY2N1fo5emGxmZmZaa18LsqzqxqfTRw/G+vVq1e5evWqVsmHe/fu4enpCTxNhoWGhjJ27FhSU1Pp0qULP/30E0ZGRiXq7+TklO+8hw4d0lqR++233zJjxgwOHjyIg4MDRkZG+d7XatWqYWRkRFxcXIElI0rCw8OD+Ph4rX3x8fG4urrmS84C1KxZkxs3bqCnp4ezs3Oh47q6uuLq6srHH39MSEgIUVFRtGnTBn19/Xwrj/38/MjJyeHmzZuFllcojrm5Ofb29sTHx2s9DDI+Pl5dgVuSz2xB8ZV0zs+P4+npydmzZ2nSpEm+4+vWrSMzM5MPPvhAa7+VldULJ3nzlOQa+Pj48NVXX3Hnzp0CzxMfH09oaKiavM/IyCjwi4fTp0/j5+f3UnEKIYQQQgghhBClhSSE/+Nyc3OJioqie/fu6OkVfztUq1aNlJQUVq9eTa1atdi2bRubNm0qtl9WVha9evVi3LhxJCcnM2HCBAYOHFhgHc6CuLi4kJ2dzfz58wkODiY+Pp4vvviiRH1LonPnzoSFhfHll1+yfPlyrWNDhgwhNDQUf39/AgMDiYmJ4cyZM1SpUqXIMbt06cKECRPo3r074eHh/PHHHwwaNIiuXbtSoUIFcnJy+OCDDwgKCqJHjx40bdoUb29vZs2axYgRI0oU2/MePHjAlClTeO+997Czs+PWrVt8/vnn/Pbbb7Rv377Qfo0bN8bb25suXbowZ84cnjx5Qv/+/alfv776gLB+/frh6OjIuHHjyMzMxM/Pj7CwMD7//PMS9S+Ih4eH1vbx48fR0dGhevXqhfYxNDRk1KhRjBw5En19fQIDA/njjz84c+aMWjO4OMOHD6dWrVpERETQsWNHDh06xIIFCwp8WGDe9QkICKB169bMnDkTV1dXrl+/zrZt22jTpg1eXl6MGDGCdu3aUblyZa5du8axY8do27Yt8LRsSUZGBnFxcWr5FFdXV7p06UK3bt2YNWsWfn5+/PHHH8TFxeHj45PvC5rCjBgxggkTJlC1alVq1KhBVFQUCQkJxMTEACX7zDo7O3P58mUSEhKoWLEiZmZmxc65sPc1KCiIAwcOMHTo0HzHli5dSuvWrbG2ti7R3EqquGsQEhLC1KlTad26NdOmTcPOzo6TJ09ib29PQEAA1apVY+PGjQQHB6PRaBg/fnyBq8n3799fYKJbCFG6Sc1cIYQQQgghnqOI/7SdO3cqgHLu3LkS9xkxYoRibW2tmJqaKh07dlQ+++wzpWzZsurxCRMmKL6+vup29+7dlVatWimffPKJ2q9Pnz7K48eP1Tb169dXhgwZonWeVq1aKd27d1e3Z8+erdjZ2SlGRkZKUFCQsnz5cgVQ7t69W2isz8eiKIry2WefKU5OTvnadu3aVbGystKKK8+UKVOUcuXKKaampkr37t2VkSNHFjjH5506dUpp2LChYmhoqFhZWSl9+vRR7t+/ryiKokycOFGxs7NTbt26pbbfsGGDoq+vryQkJJQ4tmc9evRIadOmjWJvb6/o6+srdnZ2ynvvvaccPXq0yH6KoihXrlxR3nvvPcXExEQxMzNT2rdvr9y4cUNRFEVZtmyZYmJiopw/f15tf+TIEaVMmTLK9u3bi+1fUlFRUVr3UmFycnKUyZMnK05OTkqZMmWUSpUqKVOnTlUURVEuX76sAMrJkyfV9nfv3lUAZc+ePeq+9evXK56enmr/Tz/9VOscTk5OymeffaZup6enK4MGDVLs7e2VMmXKKI6OjkqXLl2UlJQUJTMzU+nUqZPi6Oio6OvrK/b29srAgQOVR48eqf379eunWFtbK4AyYcIERVEUJSsrS/nkk08UZ2dnpUyZMoqdnZ3Spk0b5dSpU4Vej02bNinP/unOyclRwsPDFQcHB6VMmTKKr6+v8v3332v1Ke4z+/jxY6Vt27aKhYWFAihRUVHFzrkwZ86cUYyMjJR79+5p7f/ll18UQNm1a1ehfZ/3/HuQ5/nPdUmuQXJystK2bVvF3NxcMTY2Vvz9/ZUjR44oivL0nmnYsKFiZGSkODo6KgsWLMj3N+natWtKmTJllKtXr5Y4/rS0NAVQ0tLSStxHCCGEEEIIIYR4WSX9d6hGUV6gGKUQLyE0NJR79+6xefPm1x1KkRo1aoSXlxfz5s173aHkU5pjE+J57du3p2bNmowZM+Z1h/LKjBo1irt377JkyZIS9ynp012FEEIIIYQQQohXoaT/Di3Z7/WF+Be7e/cumzZtYu/evQwYMOB1h6OlNMcmRGE+/fRTrQfj/RuUL1+eiIiI1x2GEEIIIYQQQgjxp0kNYfGf5+fnx927d5kxY4b6sLfSojTHJkRhnJ2dGTRo0OsO45UaPnz46w5BCCGEEEIIIYR4JaRkhBBCvIDk5GQqV67MyZMnqVGjRqkf958ax7+BlIwQQgghhBBCCPF3kpIRQghRAuHh4Wg0Gq2Xu7v76w5L/E2io6OxsLB43WEIIYQQQgghhBB/GykZIYT4z/Py8iI2Nlbd1tMrfX8aFUUhJyenVMYmhBDin8N59LZXMk7y9BavZBwhhBBCCPH3kxXCQoj/PD09PWxtbdVXuXLliu3z66+/0rBhQ4yNjfH19eXQoUMAPHjwAHNzc9avX6/VfvPmzZiYmHD//n0Ajh49ip+fH4aGhvj7+3Py5Emt9nv37kWj0fD999/zxhtvYGBgwIEDB8jMzGTw4MGUL18eQ0ND3nzzTY4dOwbA48eP8fLyom/fvuo4ly5dwszMjK+//rrEsRU1vzwHDhzgrbfewsjICEdHRwYPHsyDBw8AWL58Oaamply4cEFt379/f9zd3Xn48CEAK1aswN/fHzMzM2xtbencuTM3b97MN/+4uDj8/f0xNjamXr16nDt3TiuORYsWUbVqVfT19XFzc2PFihVax2fPno23tzcmJiY4OjrSv39/MjIy1HP06NGDtLQ0dXV4eHg4AJmZmYSFheHg4ICJiQl16tRh7969CCGEEEIIIYQQ/3SSEBZC/OdduHABe3t7qlSpQpcuXUhJSSm2z9ixYwkLCyMhIQFXV1dCQkJ48uQJJiYmdOrUiaioKK32UVFRtGvXDjMzMzIyMmjZsiWenp6cOHGC8PBwwsLCCjzP6NGjmT59OklJSfj4+DBy5Eg2bNjAsmXL+Omnn3BxcSEoKIg7d+5gaGhITEwMy5Yt49tvvyUnJ4cPPviAd999l549e5YotuLmB0+TzE2bNqVt27acOnWKNWvWcODAAQYOHAhAt27daN68OV26dOHJkyds27aNr776ipiYGIyNjQHIzs4mIiKCxMRENm/eTHJyMqGhoQVe51mzZnH8+HH09PTo2bOnemzTpk0MGTKE4cOHc/r0aT788EN69OjBnj171DY6OjrMmzePM2fOsGzZMn744QdGjhwJQL169ZgzZw7m5uakpqaSmpqqvg8DBw7k0KFDrF69mlOnTtG+fXuaNm2qleR+XmZmJunp6VovIYQQQgghhBCitJGHygkh/tO+//57MjIycHNzIzU1lYkTJ/Lbb79x+vRprQRpnryHrn311Vf06tULgLNnz+Ll5UVSUhLu7u4cPXqUevXqcfXqVezs7Lh58yYODg7ExsZSv359lixZwv/+9z+uXbuGoaEhAF988QUfffSR+jC3vXv30rBhQzZv3kyrVq2Ap6uPLS0tiY6OpnPnzsDTxKqzszNDhw5lxIgRAHz66afMnDmTTp06sWHDBn7++Wesra0Bio2tJPPr3bs3urq6LF68WL0uBw4coH79+jx48ABDQ0Pu3r2Lj48PwcHBbNy4kcGDB/O///2v0Pfh+PHj1KpVi/v372NqaqrOPzY2lkaNGgGwfft2WrRowaNHjzA0NCQwMBAvLy+WLFmijtOhQwcePHjAtm0F/yR6/fr19OvXj1u3bgFPawgPHTqUe/fuqW1SUlKoUqUKKSkp2Nvbq/sbN25M7dq1mTp1aoFjh4eHM3HixHz75aFyQojSREpGCCGEEEL8e8lD5YQQogSaNWtG+/bt8fHxISgoiO3bt3Pv3j3Wrl1Lv379MDU1VV/P8vHxUf/bzs4OQC15ULt2bby8vFi2bBkA33zzDU5OTrz99tsA6mrfvGQwQEBAQIHx+fv7q/996dIlsrOzCQwMVPeVKVOG2rVrk5SUpO4bPnw4rq6uLFiwgK+//lpNBpcktpLMLzExkejoaK1rExQURG5uLpcvXwbA0tKSpUuXqiUdRo8erTX+iRMnCA4OplKlSpiZmVG/fn2AfKuzi4ojKSlJ61oABAYGal2LvISyg4MDZmZmdO3aldu3b6ulKwry888/k5OTg6urq9Yc9+3bx6VLlwrtN2bMGNLS0tTX1atXC20rhBBCCCGEEEK8LpIQFkKIZ1hYWODq6srFixeZNGkSCQkJ6utZZcqUUf9bo9EAkJubq+7r3bs30dHRwNOSDD169FDbvQgTE5MX7nPz5k3Onz+Prq5ugSUOShJbUfPLyMjgww8/1Lo2iYmJXLhwgapVq6r9fvzxR3R1dUlNTVXrC8PTlc5BQUGYm5sTExPDsWPH2LRpEwBZWVkljqM4ycnJtGzZEh8fHzZs2MCJEyf4/PPPCzzPszIyMtDV1eXEiRNac0xKSmLu3LmF9jMwMMDc3FzrJYQQQgghhBBClDaSEBZCiGdkZGRw6dIl7OzsKF++PC4uLurrRXzwwQdcuXKFefPmcfbsWbp3764e8/Dw4NSpUzx+/Fjdd/jw4WLHzHt4Wnx8vLovOzubY8eO4enpqe7r2bMn3t7eLFu2jFGjRmmtmC0utpKoWbMmZ8+e1bo2eS99fX0ADh48yIwZM/juu+8wNTVV6wsD/PLLL9y+fZvp06fz1ltv4e7urvVAuZLy8PDQuhYA8fHx6rU4ceIEubm5zJo1i7p16+Lq6sr169e12uvr65OTk6O1z8/Pj5ycHG7evJlvfra2ti8cpxBCCCGEEEIIUZrove4AhBDidQoLCyM4OBgnJyeuX7/OhAkT0NXVJSQk5E+Na2lpyfvvv8+IESNo0qQJFStWVI917tyZsWPH0qdPH8aMGUNycjKRkZHFjmliYsJHH33EiBEjsLKyolKlSsycOZOHDx+q9X4///xzDh06xKlTp3B0dGTbtm106dKFw4cPq8naomIriVGjRlG3bl0GDhxI7969MTEx4ezZs+zevZsFCxZw//59unbtyuDBg2nWrBkVK1akVq1aBAcH065dOypVqoS+vj7z58+nX79+nD59moiIiBeKAWDEiBF06NABPz8/GjduzHfffcfGjRuJjY0FwMXFhezsbObPn09wcDDx8fF88cUXWmM4OzuTkZFBXFwcvr6+GBsb4+rqSpcuXejWrRuzZs3Cz8+PP/74g7i4OHx8fGjRQupmCiH+uaT2rxBCCCGEkBXCQoj/tGvXrhESEoKbmxsdOnTA2tqaw4cPY2Nj86fH7tWrF1lZWfTs2VNrv6mpKd999x0///wzfn5+jB07lhkzZpRozOnTp9O2bVu6du1KzZo1uXjxIjt37sTS0pJffvmFESNGsHDhQhwdHQFYuHAht27dYvz48SWKrSR8fHzYt28f58+f56233sLPz49PPvlEfQDbkCFDMDExUR++5u3tzdSpU/nwww/57bffsLGxITo6mnXr1uHp6cn06dNLlBB/XuvWrZk7dy6RkZF4eXmxePFioqKiaNCgAQC+vr7Mnj2bGTNmUL16dWJiYpg2bZrWGPXq1aNfv3507NgRGxsbZs6cCTwtpdGtWzeGDx+Om5sbrVu35tixY1SqVOmF4xRCCCGEEEIIIUoTjaIoyusOQggh/o1WrFjBxx9/zPXr19XVuaVFaY7t36KkT3cVQgghhBBCCCFehZL+O1RKRgghxCv28OFDUlNTmT59Oh9++GGpSriW5tiEEEIIIYQQQgjx15OSEUII8YrNnDkTd3d3bG1tGTNmzOsOR0tpjk0IIYQQQgghhBB/PUkICyH+9ZKTk9FoNCQkJPypcRo0aMDQoUOLbRceHk52djZxcXGYmpr+qXO+an9HbHFxcXh4eJCTk/OXjP861K1blw0bNrzuMIQQQgghhBBCiD9NEsJCiFIrPDwcjUaj9XJ3d3/dYf3rREdHY2Fh8crGGzlyJOPGjUNXVxeA1NRUOnfujKurKzo6OgUm1b/88kveeustLC0tsbS0pHHjxhw9erTYcw0ePJg33ngDAwMDatSo8VLxNmjQIN99ptFoaNGihdpm3LhxjB49mtzc3Jc6hxBCCCGEEEIIUVpIDWEhRKnm5eVFbGysuq2nJ3+2SrMDBw5w6dIl2rZtq+7LzMzExsaGcePG8dlnnxXYb+/evYSEhFCvXj0MDQ2ZMWMGTZo04cyZMzg4OBR5zp49e3LkyBFOnTr1UjFv3LiRrKwsdfv27dv4+vrSvn17dV+zZs3o3bs333//vVaiWAgh/mmcR2973SH8IyVPl7/9QgghhPj3kBXCQohSTU9PD1tbW/VVrly5YvscPXoUPz8/DA0N8ff35+TJk/na7Nu3j9q1a2NgYICdnR2jR4/myZMn6vEHDx7QrVs3TE1NsbOzY9asWfnGyMzMJCwsDAcHB0xMTKhTpw579+7VahMfH0+DBg0wNjbG0tKSoKAg7t69C0Bubi7Tpk2jcuXKGBkZ4evry/r169W+e/fuRaPREBcXh7+/P8bGxtSrV49z585pnWPRokVUrVoVfX193NzcWLFihdbx2bNn4+3tjYmJCY6OjvTv35+MjAz1HD169CAtLU1dGRseHl7i+T1v9erVvPvuuxgaGqr7nJ2dmTt3Lt26daNs2bIF9ouJiaF///7UqFEDd3d3vvrqK3Jzc4mLiyvyfPPmzWPAgAFUqVKlwON5q5937tyJh4cHpqamNG3alNTUVLWNlZWV1j22e/dujI2NtRLCurq6NG/enNWrVxcZjxBCCCGEEEIIUdpJQlgIUapduHABe3t7qlSpQpcuXUhJSSmyfUZGBi1btsTT05MTJ04QHh5OWFiYVpvffvuN5s2bU6tWLRITE1m0aBFLly5l8uTJapsRI0awb98+vv32W3bt2sXevXv56aeftMYZOHAghw4dYvXq1Zw6dYr27dvTtGlTLly4AEBCQgKNGjXC09OTQ4cOceDAAYKDg9XautOmTWP58uV88cUXnDlzho8//pgPPviAffv2aZ1n7NixzJo1i+PHj6Onp0fPnj3VY5s2bWLIkCEMHz6c06dP8+GHH9KjRw/27NmjttHR0WHevHmcOXOGZcuW8cMPPzBy5EgA6tWrx5w5czA3Nyc1NZXU1FT1ehU3v4Ls378ff3//It+jknj48CHZ2dlYWVmp+8LDw3F2dn6psSIjI1mxYgU//vgjKSkp+e6JZy1dupROnTphYmKitb927drs37+/0H6ZmZmkp6drvYQQQgghhBBCiNJGfnsthCi16tSpQ3R0NG5ubqSmpjJx4kTeeustTp8+jZmZWYF9Vq5cSW5uLkuXLsXQ0BAvLy+uXbvGRx99pLZZuHAhjo6OLFiwQK1LfP36dUaNGsUnn3zCw4cPWbp0Kd988w2NGjUCYNmyZVSsWFEdIyUlhaioKFJSUrC3twcgLCyMHTt2EBUVxdSpU5k5cyb+/v4sXLhQ7efl5QU8TR5OnTqV2NhYAgICAKhSpQoHDhxg8eLF1K9fX+0zZcoUdXv06NG0aNGCx48fY2hoSGRkJKGhofTv3x+AYcOGcfjwYSIjI2nYsCGAVs1eZ2dnJk+eTL9+/Vi4cCH6+vqULVsWjUaDra3tC82vIFeuXFHb/xmjRo3C3t6exo0bq/vKlStH1apVX3is7OxsvvjiC7XvwIEDmTRpUoFtjx49yunTp1m6dGm+Y/b29ly9epXc3Fx0dPJ/nzpt2jQmTpz4wvEJIYQQQgghhBB/J0kICyFKrWbNmqn/7ePjQ506dXBycmLt2rX06tWLfv368c0336htMjIySEpKwsfHR6tkQV7CNU9SUhIBAQFoNBp1X2BgIBkZGVy7do27d++SlZVFnTp11ONWVla4ubmp2z///DM5OTm4urpqjZ2ZmYm1tTXwdIXws2UHnnXx4kUePnzIu+++q7U/KysLPz8/rX0+Pj7qf9vZ2QFw8+ZNKlWqRFJSEn379tVqHxgYyNy5c9Xt2NhYpk2bxi+//EJ6ejpPnjzh8ePHPHz4EGNj4wLjK8n8CvLo0SOta/8ypk+fzurVq9m7d6/WWAMHDmTgwIEvPJ6xsbFWItnOzo6bN28W2Hbp0qV4e3tTu3btfMeMjIzIzc0lMzMTIyOjfMfHjBnDsGHD1O309HQcHR1fOF4hhBBCCCGEEOKvJAlhIcQ/hoWFBa6urly8eBGASZMmFfnT/79SRkYGurq6nDhxAl1dXa1jpqamAAUmDZ/tD7Bt27Z8D00zMDDQ2i5Tpoz633lJ7Nzc3BLFmZycTMuWLfnoo4+YMmUKVlZWHDhwgF69epGVlVVoQrgk8ytIuXLl1BrJLyMyMpLp06cTGxurlQj/M569fvD0GiqKkq/dgwcPWL16daGrh+/cuYOJiUmh76uBgUG+904IIYQQQgghhChtpIawEOIfIyMjg0uXLqmrZMuXL4+Li4v6AvDw8ODUqVM8fvxY7Xf48GGtcTw8PDh06JBWUjA+Ph4zMzMqVqxI1apVKVOmDEeOHFGP3717l/Pnz6vbfn5+5OTkcPPmTa0YXFxc1NILPj4+hT4UzdPTEwMDA1JSUvL1f5FVpR4eHsTHx2vti4+Px9PTE4ATJ06Qm5vLrFmzqFu3Lq6urly/fl2rvb6+vlrX+EXmVxA/Pz/Onj1b4vifNXPmTCIiItixY8crqUP8otatW0dmZiYffPBBgcdPnz6db/W2EEIIIYQQQgjxTyMrhIUQpVZYWBjBwcE4OTlx/fp1JkyYgK6uLiEhIYX26dy5M2PHjqVPnz6MGTOG5ORkIiMjtdr079+fOXPmMGjQIAYOHMi5c+eYMGECw4YNQ0dHB1NTU3r16sWIESOwtramfPnyjB07VqturKurK126dKFbt27MmjULPz8//vjjD+Li4vDx8aFFixaMGTMGb29v+vfvT79+/dDX12fPnj20b9+ecuXKERYWxscff0xubi5vvvkmaWlpxMfHY25uTvfu3Ut0jUaMGEGHDh3w8/OjcePGfPfdd2zcuJHY2FgAXFxcyM7OZv78+QQHBxMfH88XX3yhNYazszMZGRnExcXh6+uLsbFxieZXkKCgIJYtW5Zvf0JCAvA0qf/HH3+QkJCAvr6+mrieMWMGn3zyCStXrsTZ2ZkbN24AT1cj561IXrBgAZs2bdJKsl+8eJGMjAxu3LjBo0eP1PN4enqir69fomuYZ+nSpbRu3brQkhj79++nSZMmLzSmEEKUNsnTC/77LYQQQggh/kMUIYQopTp27KjY2dkp+vr6ioODg9KxY0fl4sWLxfY7dOiQ4uvrq+jr6ys1atRQNmzYoADKyZMn1TZ79+5VatWqpejr6yu2trbKqFGjlOzsbPX4/fv3lQ8++EAxNjZWKlSooMycOVOpX7++MmTIELVNVlaW8sknnyjOzs5KmTJlFDs7O6VNmzbKqVOntM5Tr149xcDAQLGwsFCCgoKUu3fvKoqiKLm5ucqcOXMUNzc3pUyZMoqNjY0SFBSk7Nu3T1EURdmzZ48CqO0VRVFOnjypAMrly5fVfQsXLlSqVKmilClTRnF1dVWWL1+udT1mz56t2NnZKUZGRkpQUJCyfPnyfOP269dPsba2VgBlwoQJJZ7f827fvq0YGhoqv/zyi9Z+IN/LyclJPe7k5FRgm7xYFEVRJkyYoNVHURSlfv36BfbLuz5RUVFK2bJltfps2rRJef5/f7/88osCKLt27SpwXteuXVPKlCmjXL16tdC5Py8tLU0BlLS0tBL3EUIIIYQQQgghXlZJ/x2qUZQCCikKIYQQL2nEiBGkp6ezePHi1x3KKzNq1Cju3r3LkiVLStwnPT2dsmXLkpaWhrm5+V8YnRBCCCGEEEIIUfJ/h0oNYSGEEK/U2LFjcXJyKvGD7/4JypcvT0RExOsOQwghhBBCCCGE+NNkhbAQQgjxF5AVwkIIIYQQQggh/k6yQlgAEB0djYWFxQv1CQ0NpXXr1n9JPKJwzs7OzJkz53WH8bd70XknJyej0WjUh4f91Z6PT6PRsHnz5hL3/y9/nvbu3YtGo+HevXvqvs2bN+Pi4oKuri5Dhw59LXF17dqVqVOnlrj9rVu3KF++PNeuXfsLoxJCCCGEEEIIIf4ekhAuxcLDw9FoNFovd3f31x2WeAkbN27E398fCwsLTExMqFGjBitWrHjl5wkPD6dGjRp/epw7d+4waNAg3NzcMDIyolKlSgwePJi0tDStdikpKbRo0QJjY2PKly/PiBEjePLkyZ8+f2mWmppKs2bNXncY/1gffvgh7dq14+rVqyUuwdCgQYNXljxOTExk+/btDB48GIDs7GxGjRqFt7c3JiYm2Nvb061bN65fv672KVeuHN26dWPChAmvJAYhhBBCCCGEEOJ10nvdAYiieXl5ERsbq27r6f233rKsrCz09fVfdxh/mpWVFWPHjsXd3R19fX22bt1Kjx49KF++PEFBQa87vHyuX7/O9evXiYyMxNPTkytXrtCvXz+uX7/O+vXrAcjJyaFFixbY2tpy8OBBUlNT6datG2XKlHmh1Zf/NLa2tq87hH+sjIwMbt68SVBQEPb29q8lhvnz59O+fXtMTU0BePjwIT/99BPjx4/H19eXu3fvMmTIEN577z2OHz+u9uvRowdvvPEGn376KVZWVq8ldiGEeBWcR2973SH8ZyVPb/G6QxBCCCGEAGSFcKmnp6eHra2t+ipXrpzW8dmzZ6sr2xwdHenfvz8ZGRmFjpe3gnTx4sU4OjpibGxMhw4d8q38BIiMjMTOzg5ra2sGDBhAdna2emzFihX4+/tjZmaGra0tnTt35ubNm0XOJa98xebNm6lWrRqGhoYEBQVx9erVfPF99dVXVK5cGUNDQwDu3btH7969sbGxwdzcnHfeeYfExESt8SdPnkz58uUxMzOjd+/ejB49Wmu1bN5P9//MvPJ+Ah8XF4e/vz/GxsbUq1ePc+fOFTn3Bg0a0KZNGzw8PKhatSpDhgzBx8eHAwcOaLW7f/8+ISEhmJiY4ODgwOeff651vKjrEB0dzcSJE0lMTFRXlEdHRwMvfp9Ur16dDRs2EBwcTNWqVXnnnXeYMmUK3333nboCeNeuXZw9e5ZvvvmGGjVq0KxZMyIiIvj888/JysoC4NKlS7Rq1YoKFSpgampKrVq1tL7gKIhGo2HRokU0a9YMIyMjqlSpoiahn/Xrr7/SsGFDjI2N8fX15dChQ+qx27dvExISgoODA8bGxnh7e7Nq1aoizwtw8+ZNgoODMTIyonLlysTExBQY37MlI37++WfeeecdjIyMsLa2pm/fvkVe2+flfS62bt2Km5sbxsbGtGvXjocPH7Js2TKcnZ2xtLRk8ODB5OTkqP3u3r1Lt27dsLS0xNjYmGbNmnHhwoV84+7cuRMPDw9MTU1p2rQpqampapvc3FwmTZpExYoVMTAwoEaNGuzYsUM9npWVxcCBA7Gzs8PQ0BAnJyemTZsGFFy64969e2g0Gvbu3Ztvnnv37sXMzAyAd955R21X3HsVGhrKvn37mDt3rnpfJycnA3D69GmaNWuGqakpFSpUoGvXrty6davQa52Tk8P69esJDg5W95UtW5bdu3fToUMH3NzcqFu3LgsWLODEiROkpKSo7by8vLC3t2fTpk2Fji+EEEIIIYQQQvwTSEK4lLtw4QL29vZUqVKFLl26aCUoAHR0dJg3bx5nzpxh2bJl/PDDD4wcObLIMS9evMjatWv57rvv2LFjBydPnqR///5abfbs2cOlS5fYs2cPy5YtIzo6Wk0uwtOfWUdERJCYmMjmzZtJTk4mNDS02Pk8fPiQKVOmsHz5cuLj47l37x6dOnXKF9+GDRvYuHGjmmxq3749N2/e5Pvvv+fEiRPUrFmTRo0acefOHQBiYmKYMmUKM2bM4MSJE1SqVIlFixblO/+rmtfYsWOZNWsWx48fR09Pj549exY79zyKohAXF8e5c+d4++23tY59+umn+Pr6cvLkSUaPHs2QIUPYvXu3eryo69CxY0eGDx+Ol5cXqamppKam0rFjR+Dl7pPn5RUkz1ulfujQIby9valQoYLaJigoiPT0dM6cOQM8XRHavHlz4uLiOHnyJE2bNiU4ODjfffy88ePH07ZtWxITE+nSpQudOnUiKSlJq83YsWMJCwsjISEBV1dXQkJC1GT148ePeeONN9i2bRunT5+mb9++dO3alaNHjxZ53tDQUK5evcqePXtYv349CxcuLPKLjgcPHhAUFISlpSXHjh1j3bp1xMbGMnDgwCLP87yHDx8yb948Vq9ezY4dO9i7dy9t2rRh+/btbN++nRUrVrB48WKtxHhoaCjHjx9ny5YtHDp0CEVRaN68udYXHA8fPiQyMpIVK1bw448/kpKSQlhYmHp87ty5zJo1i8jISE6dOkVQUBDvvfeemlieN28eW7ZsYe3atZw7d46YmBicnZ1faG55nv3iZMOGDaSmplKvXr1i36u5c+cSEBBAnz591Pva0dGRe/fu8c477+Dn58fx48fZsWMHv//+Ox06dCg0hlOnTpGWloa/v3+RsaalpaHRaPLVX69duzb79+8vtF9mZibp6elaLyGEEEIIIYQQorT5b9Uf+IepU6cO0dHRuLm5kZqaysSJE3nrrbc4ffq0utLu2bqazs7OTJ48mX79+rFw4cJCx338+DHLly/HwcEBePoT6hYtWjBr1iz15/CWlpYsWLAAXV1d3N3dadGiBXFxcfTp0wdAKwFapUoV5s2bR61atcjIyFB/il2Q7OxsFixYQJ06dQBYtmwZHh4eHD16lNq1awNPVyUuX74cGxsbAA4cOMDRo0e5efMmBgYGwNPVy5s3b2b9+vX07duX+fPn06tXL3r06AHAJ598wq5du/Kt1HxV85oyZQr169cHYPTo0bRo0YLHjx+rK5oLkpaWhoODA5mZmejq6rJw4ULeffddrTaBgYGMHj0aAFdXV+Lj4/nss8949913S3QdTE1N1VXlz3qZ++RZt27dIiIigr59+6r7bty4oZUMBtTtGzduAODr64uvr696PCIigk2bNrFly5Yik6bt27end+/eap/du3czf/58rXjDwsJo0eLpTy8nTpyIl5cXFy9exN3dHQcHB63E56BBg9i5cydr165V77PnnT9/nu+//56jR49Sq1YtAJYuXYqHh0ehca5cuVL9PJmYmACwYMECgoODmTFjRr7rU5js7GwWLVpE1apVAWjXrh0rVqzg999/x9TUFE9PTxo2bMiePXvo2LEjFy5cYMuWLcTHx1OvXj3g6Zcijo6ObN68mfbt26vjfvHFF+q4AwcOZNKkSep5IyMjGTVqlPqlzIwZM9izZw9z5szh888/JyUlhWrVqvHmm2+i0WhwcnIq0XwKoq+vT/ny5YGnJVTy7tHi3quyZcuir6+PsbGx1n29YMEC/Pz8tMqTfP311zg6OnL+/HlcXV3zxXDlyhV0dXXVOAry+PFjRo0aRUhISL4nstrb23Py5MlC+06bNo2JEycWcyWEEEIIIYQQQojXS1YIl2LNmjWjffv2+Pj4EBQUxPbt27l37x5r165V28TGxtKoUSMcHBwwMzOja9eu3L59m4cPHxY6bqVKldRkMEBAQAC5ublaZQ+8vLzQ1dVVt+3s7LRWSp44cYLg4GAqVaqEmZmZmhzNW/np5eWFqakppqamWg/g0tPTU5NtAO7u7lhYWGit/nRyclKTwfD0IVAZGRlYW1urY5qamnL58mUuXboEwLlz5/Il+gpK/P3ZeeXx8fHRGgOelhtISUnRivHZZJWZmRkJCQkcO3aMKVOmMGzYsHw/rQ8ICMi3nXdtSnIdCvMy90me9PR0WrRogaenJ+Hh4cW2f1ZGRgZhYWF4eHhgYWGBqakpSUlJxa4QLuo65CnsPYCnpQEiIiLw9vbGysoKU1NTdu7cqZ43JiZG6xru37+fpKQk9PT0eOONN9Rx8+7PwiQlJeHr66smg+FpUv/5z1NxjI2N1aQtPE2sOzs7a30JUaFCBXV+ebHmfbECYG1tjZubm9Z1en7cZ+/39PR0rl+/TmBgoFYsgYGB6hihoaEkJCTg5ubG4MGD2bVrV4nnVFLFvVeFSUxMZM+ePVrvY95DNwv7PDx69AgDAwM0Gk2Bx7Ozs+nQoQOKohT4CwMjI6MiPzNjxowhLS1NfT1bDkcIIYQQQgghhCgtZIXwP4iFhQWurq5cvHgReFrDs2XLlnz00UdMmTIFKysrDhw4QK9evcjKysLY2Pilz1WmTBmtbY1GQ25uLvD/P5MPCgoiJiYGGxsbUlJSCAoKUmvHbt++Xf3pupGR0Qud+9nkGjxNKtrZ2RVYl7SoZF1B/uy8ChonL7mUm5tLxYoVtWqqPvvwKR0dHVxcXACoUaMGSUlJTJs2jQYNGpQo9pe9Dn/mPrl//z5NmzbFzMyMTZs2ac3b1tY2XwmG33//XT0GT1fx7t69m8jISFxcXDAyMqJdu3b5rufLKOw9gKelN+bOncucOXPU2slDhw5Vz/vee+9pJVMdHBz+kmRnSRV0XxZ1r/6ZcRVFKXH/mjVrcvnyZb7//ntiY2Pp0KEDjRs3Zv369ejoPP0+8dnxni1XUVLFvVeFycjIUFdiPy/vC4LnlStXjocPHxb4sMq8ZPCVK1f44Ycf8q0OBrhz547Wl1XPMzAwUFfvCyGEEEIIIYQQpZUkhP9BMjIyuHTpEl27dgWermbNzc1l1qxZanLm2dXDhUlJSeH69evY29sDcPjwYXR0dHBzcytRHL/88gu3b99m+vTpODo6AnD8+HGtNoX9tPzJkyccP35cXb177tw57t27V+TP8mvWrMmNGzfQ09MrtH6pm5sbx44do1u3buq+Y8eOlWg+eUoyr+Lo6empSd/i5ObmkpmZqbXv8OHD+bbzrk1JroO+vr7Wg8fg5e+T9PR0goKCMDAwYMuWLfnKYQQEBDBlyhRu3ryp/gR/9+7dmJub4+npCUB8fDyhoaG0adMGeHoP5z0QrCiHDx/Wei8PHz6Mn59fsf3yxMfH06pVKz744APg6bU+f/68GpeZmZladiWPu7s7T5484cSJE+oq9rz7szAeHh5ER0fz4MED9YuM+Pj4F/o8vQwPDw+ePHnCkSNH1JIRt2/f5ty5c+oci2Nubo69vT3x8fHqSnh4Gv+zq+vNzc3p2LEjHTt2pF27djRt2lQrMZqamqq+N89+GVJSxb1XUPB9XbNmTTZs2ICzs7Na17o4eQ+ZPHv2rNYDJ/OSwRcuXGDPnj1YW1sX2P/06dMl/gJHCCFKq+TpLV53CEIIIYQQ4jWTkhGlWFhYGPv27SM5OZmDBw/Spk0bdHV1CQkJAcDFxYXs7Gzmz5/Pr7/+yooVK/jiiy+KHdfQ0JDu3buTmJjI/v37GTx4MB06dMhXd7YwlSpVQl9fXz3vli1biIiIKFHfMmXKMGjQII4cOcKJEycIDQ2lbt26hdZ1BWjcuDEBAQG0bt2aXbt2qddj7NixasJ20KBBLF26lGXLlnHhwgUmT57MqVOnCv1p+KueV3GmTZvG7t27+fXXX0lKSmLWrFmsWLFCTYLliY+PZ+bMmZw/f57PP/+cdevWMWTIkBJfB2dnZy5fvkxCQgK3bt0iMzPzpe6T9PR0mjRpwoMHD1i6dCnp6encuHGDGzduqIm5Jk2a4OnpSdeuXUlMTGTnzp2MGzeOAQMGqKskq1Wrpj4cMDExkc6dO5doleu6dev4+uuvOX/+PBMmTODo0aMv9KC2atWqsXv3bg4ePEhSUhIffvihunq5MG5ubjRt2pQPP/xQvT979+5d5Ar3Ll26qJ+n06dPs2fPHgYNGkTXrl1LXD/4ZVSrVo1WrVrRp08fDhw4QGJiIh988AEODg60atWqxOOMGDGCGTNmsGbNGs6dO8fo0aNJSEhQ77nZs2ezatUqfvnlF86fP8+6deuwtbXFwsICIyMj6taty/Tp00lKSmLfvn2MGzfupeZS3Hvl7OzMkSNHSE5O5tatW+Tm5jJgwADu3LlDSEgIx44d49KlS+zcuZMePXrkSx7nsbGxoWbNmhw4cEDdl52dTbt27Th+/DgxMTHk5OSo9/qzq5QfPnzIiRMnaNKkyQvPUQghhBBCCCGEKE0kIVyKXbt2jZCQENzc3OjQoQPW1tYcPnxYXZnn6+vL7NmzmTFjBtWrVycmJoZp06YVO66Liwvvv/8+zZs3p0mTJvj4+JT44WLwNKkSHR3NunXr8PT0ZPr06URGRpaor7GxMaNGjaJz584EBgZiamrKmjVriuyj0WjYvn07b7/9Nj169MDV1ZVOnTpx5coVNenWpUsXxowZQ1hYmPoz99DQ0CIf8vYq51WcBw8e0L9/f7y8vAgMDGTDhg1888036oPT8gwfPpzjx4/j5+fH5MmTmT17NkFBQSW+Dm3btqVp06Y0bNgQGxsbVq1aVeL7RKPREB0dDcBPP/3EkSNH+Pnnn3FxccHOzk595dVF1dXVZevWrejq6hIQEMAHH3xAt27dtB5aNnv2bCwtLalXrx7BwcEEBQVRs2bNYq/XxIkTWb16NT4+PixfvpxVq1aVeOUrwLhx46hZsyZBQUE0aNAAW1tbWrduXWy/qKgo7O3tqV+/Pu+//z59+/Yt8gFkxsbG7Ny5kzt37lCrVi3atWtHo0aNWLBgQYljfVlRUVG88cYbtGzZkoCAABRFYfv27fnKRBRl8ODBDBs2jOHDh+Pt7c2OHTvYsmUL1apVA56upJ45cyb+/v7UqlWL5ORktm/frq40//rrr3ny5AlvvPEGQ4cOZfLkyS88j5K8V2FhYejq6uLp6amWcslb3ZyTk0OTJk3w9vZm6NChWFhYqPEVpHfv3sTExKjbv/32G1u2bOHatWvUqFFD614/ePCg2u7bb7+lUqVKvPXWWy88RyGEEEIIIYQQojTRKC9SUFL844WHh7N58+aX+mn3nxUdHc3QoUOL/An+q/Tuu+9ia2vLihUr/pbz/ZNdvnwZV1dXzp49qyYDXxeNRsOmTZtKlMAV4kU9evQINzc31qxZk+/hhUWpW7cugwcPpnPnziXuk56eTtmyZUlLSyuwJrEQQgghhBBCCPEqlfTfoVJDWPwrPHz4kC+++IKgoCB0dXVZtWoVsbGx7N69+3WH9o+wfft2+vbt+9qTwUL81YyMjFi+fDm3bt0qcZ9bt27x/vvvq+V6hBBCCCGEEEKIfzIpGSH+EaKjo7GwsCj0+LPlFN544w2+++47GjRo8Lf8dP/fYMCAAXz++eevZCxnZ2fmzJnzSsb6J3nReScnJ6PRaP621frPx6fRaNi8eXOJ+4eGhr7wqu3nP7fh4eFaD3P7sxo0aMDQoUPV7YcPH9K2bVvMzc3RaDSF/hqhQYMGBAcHl/g85cqVY+TIkS9Uk1wIIYQQQgghhCitJCH8HxMeHv63l4sIDw9Ho9HQo0cP0tLS0Gg0uLu7v9JzGBkZERsby+3bt3nw4AE//fQTTk5Or/QcAjZu3Ii/vz8WFhaYmJhQo0aNV16SQ1EUEhISXkni8M6dOwwaNAg3NzeMjIyoVKkSgwcPJi0tTatdSkoKLVq0wNjYmPLlyzNixAiePHnyp89fmqWmptKsWbO/9ZxhYWHExcX9ZeMvW7aM/fv3c/DgQVJTUylbtmyxffbu3Vtk8lgIIYQQQgghhPi3kZIR4m/h5eVFbGysuq2n99+69bKystDX13/dYfxpVlZWjB07Fnd3d/T19dm6dSs9evSgfPny6sPvSpPr169z/fp1IiMj8fT05MqVK/Tr14/r16+zfv16AHJycmjRogW2trZqIrFbt26UKVOGqVOnvuYZ/HVsbW3/9nOamppiamr6l41/6dIlPDw8qF69+l92DiGE+KdzHr3tdYfwn5I8vcXrDkEIIYQQIh9ZISz+Fnp6etja2qqvcuXKaR2fPXs23t7emJiY4OjoSP/+/cnIyCh0vLyfni9evBhHR0eMjY3p0KFDvpWfAJGRkdjZ2WFtbc2AAQPIzs5Wj61YsQJ/f3/MzMywtbWlc+fO3Lx5s8i55P0MfvPmzVSrVg1DQ0OCgoK4evVqvvi++uorKleujKGhIQD37t2jd+/e2NjYYG5uzjvvvENiYqLW+JMnT6Z8+fKYmZnRu3dvRo8erbVaNu+n+39mXnmrIuPi4vD398fY2Jh69epx7ty5IufeoEED2rRpg4eHB1WrVmXIkCH4+Phw4MABrXb3798nJCQEExMTHBwc8pWjKOo6REdHM3HiRBITE9FoNGg0GqKjo4EXv0+qV6/Ohg0bCA4OpmrVqrzzzjtMmTKF7777Tl0BvGvXLs6ePcs333xDjRo1aNasGREREXz++edkZWUBTxONrVq1okKFCpiamlKrVi2tLzgKotFoWLRoEc2aNcPIyIgqVaqoSehn/frrrzRs2BBjY2N8fX05dOiQeuz27duEhITg4OCAsbEx3t7erFq1qsjzAty8eZPg4GCMjIyoXLkyMTExBcb3bMmIn3/+mXfeeQcjIyOsra3p27dvkde2INHR0VSqVAljY2PatGnD7du3tY4/XzJi79691K5dGxMTEywsLAgMDOTKlStAwSUqhg4dSoMGDQo8d4MGDZg1axY//vgjGo1GbVfUZyE5OZmGDRsCYGlpiUajITQ0FIDc3FymTZtG5cqVMTIywtfXt8D3TwghhBBCCCGE+KeRhLD4W1y4cAF7e3uqVKlCly5dSElJ0Tquo6PDvHnzOHPmDMuWLeOHH35g5MiRRY558eJF1q5dy3fffceOHTs4efIk/fv312qzZ88eLl26xJ49e1i2bBnR0dFqchEgOzubiIgIEhMT2bx5M8nJyWpCqCgPHz5kypQpLF++nPj4eO7du0enTp3yxbdhwwY2btyolulo3749N2/e5Pvvv+fEiRPUrFmTRo0acefOHQBiYmKYMmUKM2bM4MSJE1SqVIlFixblO/+rmtfYsWOZNWsWx48fR09Pj549exY79zyKohAXF8e5c+d4++23tY59+umn+Pr6cvLkSUaPHs2QIUO0HvBX1HXo2LEjw4cPx8vLi9TUVFJTU+nYsSPwcvfJ8/KetJm3Sv3QoUN4e3tToUIFtU1QUBDp6emcOXMGgIyMDJo3b05cXBwnT56kadOmBAcH57uPnzd+/Hjatm1LYmIiXbp0oVOnTiQlJWm1GTt2LGFhYSQkJODq6kpISIiarH78+DFvvPEG27Zt4/Tp0/Tt25euXbty9OjRIs8bGhrK1atX2bNnD+vXr2fhwoVFftHx4MEDgoKCsLS05NixY6xbt47Y2FgGDhxY5HmedeTIEXr16sXAgQNJSEigYcOGTJ48udD2T548oXXr1tSvX59Tp05x6NAh+vbt+9J1ejdu3EifPn0ICAggNTWVjRs3AkV/FhwdHdmwYQMA586dIzU1lblz5wIwbdo0li9fzhdffMGZM2f4+OOP+eCDD9i3b99LxSeEEEIIIYQQQpQW/63f7YvXok6dOkRHR+Pm5kZqaioTJ07krbfe4vTp05iZmQFoPRjK2dmZyZMn069fPxYuXFjouI8fP2b58uU4ODgAMH/+fFq0aMGsWbPUn8NbWlqyYMECdHV1cXd3p0WLFsTFxdGnTx8ArQRolSpVmDdvHrVq1SIjI6PIn7ZnZ2ezYMEC6tSpAzytXerh4cHRo0epXbs28LRMxPLly7GxsQHgwIEDHD16lJs3b2JgYAA8Xb28efNm1q9fT9++fZk/fz69evWiR48eAHzyySfs2rUr30rNVzWvKVOmUL9+fQBGjx5NixYtePz4sbqiuSBpaWk4ODiQmZmJrq4uCxcu5N1339VqExgYyOjRowFwdXUlPj6ezz77jHfffbdE18HU1FRdVf6sl7lPnnXr1i0iIiLo27evuu/GjRtayWBA3b5x4wYAvr6++Pr6qscjIiLYtGkTW7ZsKTJp2r59e3r37q322b17N/Pnz9eKNywsjBYtnv6cdOLEiXh5eXHx4kXc3d1xcHAgLCxMbTto0CB27tzJ2rVr1fvseefPn+f777/n6NGj1KpVC4ClS5fi4eFRaJwrV65UP08mJiYALFiwgODgYGbMmJHv+hRk7ty5NG3aVE3Qu7q6cvDgQXbs2FFg+/T0dNLS0mjZsiVVq1YFKDLG4lhZWWFsbIy+vr7WfVPcZ8HKygqA8uXLqw/Ay8zMZOrUqcTGxhIQEKD2PXDgAIsXL1Y/M8/LzMwkMzNTa45CCCGEEEIIIURpIyuExV+uWbNmtG/fHh8fH4KCgti+fTv37t1j7dq1apvY2FgaNWqEg4MDZmZmdO3aldu3b/Pw4cNCx61UqZKaDAYICAggNzdXq+yBl5cXurq66radnZ3WSskTJ04QHBxMpUqVMDMzUxM9eSs/vby81Lqnzz6AS09PT022Abi7u2NhYaG1+tPJyUlNBgMkJiaSkZGBtbW1OqapqSmXL1/m0qVLwNNVis8n+gpK/P3ZeeXx8fHRGgOelhtISUnRivHZWrpmZmYkJCRw7NgxpkyZwrBhw9i7d6/WuHlJtGe3865NSa5DYV7mPsmTnp5OixYt8PT0JDw8vNj2z8rIyCAsLAwPDw8sLCwwNTUlKSmp2BXCRV2HPIW9B/C0vnFERATe3t5YWVlhamrKzp071fPGxMRoXcP9+/eTlJSEnp4eb7zxhjpu3v1ZmKSkJHx9fdVkMDxN6j//eSpKUlKS+gVJYfN/lpWVFaGhoQQFBREcHMzcuXNJTU0t0bleREk/C8+6ePEiDx8+5N1339W6vsuXLy/yHp02bRply5ZVX46Ojq98PkIIIYQQQgghxJ8lK4TF387CwgJXV1cuXrwIPK3j2bJlSz766COmTJmClZUVBw4coFevXmRlZWFsbPzS5ypTpozWtkajITc3F/j/n8kHBQURExODjY0NKSkpBAUFqbVjt2/frtbmNTIyeqFzP5tcg6dJRTs7u3zJU6DIZF1B/uy8Chon76f6ubm5VKxYUS1zAairKOFp2QYXFxcAatSoQVJSEtOmTSu0tuvzXvY6/Jn75P79+zRt2hQzMzM2bdqkNW9bW9t8JRh+//139Rg8XcW7e/duIiMjcXFxwcjIiHbt2uW7ni+jsPcAnpbemDt3LnPmzFFrJw8dOlQ973vvvaeVhHVwcGDXrl1/Oqa/S1RUFIMHD2bHjh2sWbOGcePGsXv3burWrYuOjg6Komi1f7ZOdkm8yGfhWXkr8rdt26b1pROgrmovyJgxYxg2bJi6nZ6eLklhIYQQQgghhBCljiSExd8uIyODS5cu0bVrV+DpCr7c3FxmzZqFjs7TRevPrh4uTEpKCtevX8fe3h6Aw4cPo6Ojg5ubW4ni+OWXX7h9+zbTp09XkzbHjx/XauPk5FRg3ydPnnD8+HF19e65c+e4d+9ekT95r1mzJjdu3EBPTw9nZ+cC27i5uXHs2DG6deum7jt27FiJ5pOnJPMqjp6enpr0LU5ubq7Wz+Th6Xvx/HbetSnJddDX1ycnJ0dr38veJ+np6QQFBWFgYMCWLVvylcMICAhgypQp3Lx5k/LlywOwe/duzM3N8fT0BCA+Pp7Q0FDatGkDPL2Hk5OTiz334cOHtd7Lw4cP4+fnV2y/PPHx8bRq1YoPPvgAeHqtz58/r8ZlZmamll3J4+7uzpMnTzhx4oS6ij3v/iyMh4cH0dHRPHjwQP0iIz4+/oU+Tx4eHhw5ckRr3/P3QUH8/Pzw8/NjzJgxBAQEsHLlSurWrYuNjQ2nT5/WapuQkJDvy5CilOSzoK+vD6B1v3l6emJgYEBKSkqh5SEKYmBgUGTCWAghhBBCCCGEKA0kISz+cmFhYQQHB+Pk5MT169eZMGECurq6hISEAODi4kJ2djbz588nODiY+Ph4vvjii2LHNTQ0pHv37kRGRpKens7gwYPp0KFDvrqzhalUqRL6+vrMnz+ffv36cfr0aSIiIkrUt0yZMgwaNIh58+ahp6fHwIEDqVu3bqF1XQEaN25MQEAArVu3ZubMmbi6unL9+nW2bdtGmzZt8Pf3Z9CgQfTp0wd/f3/q1avHmjVrOHXqFFWqVClRXH92XsWZNm0a/v7+VK1alczMTLZv386KFSvyPfguPj6emTNn0rp1a3bv3s26devYtm1bia+Ds7Mzly9fJiEhgYoVK2JmZvZS90l6ejpNmjTh4cOHfPPNN6Snp6t1XW1sbNDV1aVJkyZ4enrStWtXZs6cyY0bNxg3bhwDBgxQk3vVqlVj48aNBAcHo9FoGD9+vLqKtyjr1q3D39+fN998k5iYGI4ePcrSpUtLfL2rVavG+vXrOXjwIJaWlsyePZvff/9dTQgXxM3NjaZNm/Lhhx+yaNEi9PT0GDp0aJEr3Lt06cKECRPo3r074eHh/PHHHwwaNIiuXbuWqH4wwODBgwkMDCQyMpJWrVqxc+fOQusHA1y+fJklS5bw3nvvYW9vz7lz57hw4YKaQH/nnXf49NNPWb58OQEBAXzzzTecPn36hRLqJfksODk5odFo2Lp1K82bN8fIyAgzMzPCwsL4+OOPyc3N5c033yQtLY34+HjMzc3p3r17iWMQQojSJnl6i9cdghBCCCGEeM2khrD4y127do2QkBDc3Nzo0KED1tbWHD58WK2v6+vry+zZs5kxYwbVq1cnJiaGadOmFTuui4sL77//Ps2bN6dJkyb4+PiU+OFi8DQhGB0dzbp16/D09GT69OlERkaWqK+xsTGjRo2ic+fOBAYGYmpqypo1a4rso9Fo2L59O2+//TY9evTA1dWVTp06ceXKFTXp1qVLF8aMGUNYWBg1a9bk8uXLhIaGFvmQt1c5r+I8ePCA/v374+XlRWBgIBs2bOCbb75RH5yWZ/jw4Rw/fhw/Pz8mT57M7NmzCQoKKvF1aNu2LU2bNqVhw4bY2NiwatWqEt8nGo2G6OhoAH766SeOHDnCzz//jIuLC3Z2durr6tWrAOjq6rJ161Z0dXUJCAjggw8+oFu3bkyaNEkdc/bs2VhaWlKvXj2Cg4MJCgqiZs2axV6viRMnsnr1anx8fFi+fDmrVq0qMpn7vHHjxlGzZk2CgoJo0KABtra2tG7duth+UVFR2NvbU79+fd5//3369u2rrn4uiLGxMTt37uTOnTvUqlWLdu3a0ahRIxYsWFDiWOvWrcuXX37J3Llz8fX1ZdeuXYwbN67Ic/7yyy+0bdsWV1dX+vbty4ABA/jwww8BCAoKYvz48YwcOZJatWpx//59rdXWJVGSz4KDgwMTJ05k9OjRVKhQQX1IYEREBOPHj2fatGl4eHjQtGlTtm3bRuXKlV8oBiGEEEIIIYQQorTRKM8XaRTiHyA8PJzNmzdr1bn9u0RHRzN06NAif4L/Kr377rvY2tqyYsWKv+V8/2SXL1/G1dWVs2fPUq1atdcai0ajYdOmTSVK4Ip/p/T0dMqWLUtaWhrm5uavOxwhhBBCCCGEEP9yJf13qJSMEKIUefjwIV988QVBQUHo6uqyatUqYmNj2b179+sO7R9h+/bt9O3b97Ung4UQQgghhBBCCCFKK0kIC1GK5JVTmDJlCo8fP8bNzY0NGzbQuHHj1x3aP8KAAQNedwhCCCGEEEIIIYQQpZrUEBalTnR0NBYWFkW2CQ8P1yoXERoa+rf9ND80NPSVlIvQaDRs3rxZa5+RkRGxsbHcvn2bBw8e8NNPP/H+++//6XOVFuHh4dSoUeN1h/HKFfReKopSqspFPP8ZadCgAUOHDi1x/5J8Lp+XnJyMRqNRP6t79+5Fo9G8snIrBd1P4eHhVKhQocD3RAghhBBCCCGEEJIQFq9YeHg4Go1G6+Xu7v66w/rP+juTYrdv36Zp06bY29tjYGCAo6MjAwcOJD09/ZWe5/kk459x5swZ2rZti7OzMxqNhjlz5uRrk3fs+derXo38d36pAbBx40YiIiL+tvMB1KtXj9TUVMqWLfuXjJ+UlMTEiRNZvHgxqampNGvWrET9JHkshBBCCCGEEOK/REpGiFfOy8uL2NhYdVtPT26zl5GdnU2ZMmVedxglpqOjQ6tWrZg8eTI2NjZcvHiRAQMGcOfOHVauXPm6wyvQw4cPqVKlCu3bt+fjjz8usM2xY8fIyclRt0+fPs27775L+/bt/64w/xJWVlZ/+zn19fWxtbX9y8a/dOkSAK1atUKj0fxl5xFCiH8y59Hb/pbzJE9v8becRwghhBBCvDhZISxeOT09PWxtbdVXuXLltI7Pnj0bb29vTExMcHR0pH///mRkZBQ6Xt7PwhcvXoyjoyPGxsZ06NCBtLS0fG0jIyOxs7PD2tqaAQMGkJ2drR5bsWIF/v7+mJmZYWtrS+fOnbl582aRc7l9+zYhISE4ODhgbGyMt7c3q1at0mrToEEDBg8ezMiRI7GyssLW1pbw8HCtNhcuXODtt9/G0NAQT0/PfA+Jy1v1umbNGurXr4+hoSExMTHk5uYyadIkKlasiIGBATVq1GDHjh1qv6ysLAYOHIidnR2GhoY4OTkxbdo04OnKVoA2bdqg0WjU7UuXLtGqVSsqVKiAqakptWrV0krg5/WdOnUqPXv2xMzMjEqVKrFkyZIir5WlpSUfffQR/v7+ODk50ahRI/r378/+/fvztS3uvfzqq6/w8PDA0NAQd3d3Fi5cqB6rXLkyAH5+fmg0Gho0aAA8Tdy+++67lCtXjrJly1K/fn1++umnImOuVasWn376KZ06dcLAwKDANjY2Nlr389atW6latSr169fXape3ItXIyIgqVaqwfv16reNXr16lQ4cOWFhYYGVlRatWrUhOTgae3uPLli3j22+/VVcg7927F4BRo0bh6uqKsbExVapUYfz48Vr3dUFycnIYNmwYFhYWWFtbM3LkSBRF0WrzfMmIu3fv0q1bNywtLTE2NqZZs2ZcuHChyPM87+jRo/j5+WFoaIi/vz8nT57UOv58yYgrV64QHByMpaUlJiYmeHl5sX37dqDgEhWbN28uNNEbHh5OcHAw8PTLibx2xd0XhX1OAL799ltq1qyJoaEhVapUYeLEiTx58uSFrokQQgghhBBCCFHaSEJYvHIXLlzA3t6eKlWq0KVLF1JSUrSO6+joMG/ePM6cOcOyZcv44YcfGDlyZJFjXrx4kbVr1/Ldd9+xY8cOTp48Sf/+/bXa7Nmzh0uXLrFnzx6WLVtGdHQ00dHR6vHs7GwiIiJITExk8+bNJCcnExoaWuR5Hz9+zBtvvMG2bds4ffo0ffv2pWvXrhw9elSr3bJlyzAxMeHIkSPMnDmTSZMmqUnf3Nxc3n//ffT19Tly5AhffPEFo0aNKvB8o0ePZsiQISQlJREUFMTcuXOZNWsWkZGRnDp1iqCgIN577z01UTdv3jy2bNnC2rVrOXfuHDExMWpC69ixYwBERUWRmpqqbmdkZNC8eXPi4uI4efIkTZs2JTg4ON/7NGvWLDWp179/fz766CPOnTtX5PV61vXr19m4cWO+xGlx72VMTAyffPIJU6ZMISkpialTpzJ+/HiWLVsGoF772NhYUlNT2bhxIwD379+ne/fuHDhwgMOHD1OtWjWaN2/O/fv3SxxzcbKysvjmm2/o2bNnvsTk+PHjadu2LYmJiXTp0oVOnTqRlJQEPL33goKCMDMzY//+/cTHx2NqakrTpk3JysoiLCyMDh060LRpU1JTU0lNTaVevXoAmJmZER0dzdmzZ5k7dy5ffvkln332WZFxzpo1i+joaL7++msOHDjAnTt32LRpU5F9QkNDOX78OFu2bOHQoUMoikLz5s2LTT7nycjIoGXLlnh6enLixAnCw8MJCwsrss+AAQPIzMzkxx9/5Oeff2bGjBmYmpqW6HzPCwsLIyoqCkC9hlD8fVHY52T//v1069aNIUOGcPbsWRYvXkx0dDRTpkx5qfiEEEIIIYQQQohSQxHiFdq+fbuydu1aJTExUdmxY4cSEBCgVKpUSUlPTy+0z7p16xRra2t1OyoqSilbtqy6PWHCBEVXV1e5du2auu/7779XdHR0lNTUVEVRFKV79+6Kk5OT8uTJE7VN+/btlY4dOxZ63mPHjimAcv/+/ReaY4sWLZThw4er2/Xr11fefPNNrTa1atVSRo0apSiKouzcuVPR09NTfvvtN634AWXTpk2KoijK5cuXFUCZM2eO1jj29vbKlClT8o3dv39/RVEUZdCgQco777yj5ObmFhjrs+coipeXlzJ//nx128nJSfnggw/U7dzcXKV8+fLKokWLih2rU6dOipGRkQIowcHByqNHj9RjJXkvq1atqqxcuVJrzIiICCUgIEBRlP+/VidPniwyjpycHMXMzEz57rvvio1ZUZ7O+bPPPiuyzZo1axRdXV2t91JRnl7nfv36ae2rU6eO8tFHHymKoigrVqxQ3NzctN6nzMxMxcjISNm5c6eiKE/v4VatWhUb56effqq88cYbRbaxs7NTZs6cqW5nZ2crFStW1Bq/fv36ypAhQxRFUZTz588rgBIfH68ev3XrlmJkZKSsXbtWUZT8n8vnLV68WLG2ttZ6vxctWqT1Xu3Zs0cBlLt37yqKoije3t5KeHh4geMVdL5NmzYpz/5va8KECYqvr2+hxwtS0H1R0OekUaNGytSpU7X2rVixQrGzsyt07MePHytpaWnq6+rVqwqgpKWlFRmTEEL8nZxGbf1bXkIIIYQQ4u+XlpZWon+Hygph8Uo1a9aM9u3b4+PjQ1BQENu3b+fevXusXbtWbRMbG0ujRo1wcHDAzMyMrl27cvv2bR4+fFjouJUqVcLBwUHdDggIIDc3V2vFqpeXF7q6uuq2nZ2dVkmIEydOEBwcTKVKlTAzM1NXruatjPXy8sLU1BRTU1P1YVQ5OTlERETg7e2NlZUVpqam7Ny5M99qWh8fH63tZ8+dlJSEo6Mj9vb2WvEXxN/fX/3v9PR0rl+/TmBgoFabwMBAdeVpaGgoCQkJuLm5MXjwYHbt2lXguM/KyMggLCwMDw8PLCwsMDU1JSkpqcg5aTQabG1t1Tk1a9ZMvVZeXl5a/T777DN++uknvv32Wy5dusSwYcO0jhf1Xj548IBLly7Rq1cvdXxTU1MmT56s1octzO+//06fPn2oVq0aZcuWxdzcnIyMjHzz+jOWLl1Ks2bNtN7LZ+fx/Hbe+5SYmMjFixcxMzNT52RlZcXjx4+LndeaNWsIDAzE1tYWU1NTxo0bp84pJSVF6zpNnTqVtLQ0UlNTqVOnjjqGnp6e1r31vKSkJPT09LT6WFtb4+bmps6hOElJSfj4+GBoaFjoNXne4MGDmTx5MoGBgUyYMIFTp06V6Fwv4mXvi8TERCZNmqR1ffv06UNqamqhf6umTZtG2bJl1Zejo+Mrn48QQgghhBBCCPFnydO+xF/KwsICV1dXLl68CDytlduyZUs++ugjpkyZgpWVFQcOHKBXr15kZWVhbGz80ud6/gFsGo2G3NxcAB48eEBQUBBBQUHExMRgY2NDSkoKQUFBZGVlAbB9+3b15/FGRkYAfPrpp8ydO5c5c+aodY+HDh2q9inJuV+EiYnJC7WvWbMmly9f5vvvvyc2NpYOHTrQuHHjfPVrnxUWFsbu3buJjIzExcUFIyMj2rVr90Jz+uqrr3j06FGB7fJq7bq7u2NlZcVbb73F+PHjsbOzK3Y+ebWkv/zyS63kJKCV7C9I9+7duX37NnPnzsXJyQkDAwMCAgLyzetlXblyhdjYWLVExYvIyMjgjTfeICYmJt8xGxubQvsdOnSILl26MHHiRIKCgihbtiyrV69m1qxZANjb25OQkKC2fx0PivszevfuTVBQENu2bWPXrl1MmzaNWbNmMWjQIHR0dPLVPS5p+Ypnvex9kZGRwcSJE3n//ffzHXs26f2sMWPGaH0Bkp6eLklhIYQQQgghhBCljiSExV8qIyODS5cu0bVrV+DpKt3c3FxmzZqFjs7TBerPrh4uTEpKCtevX1dXZh4+fBgdHR3c3NxKFMcvv/zC7du3mT59upqgOX78uFYbJyenfP3i4+Np1aoVH3zwAfC0HvD58+fx9PQs0XkBPDw8uHr1KqmpqWpS9PDhw8X2Mzc3x97envj4eK06vPHx8dSuXVurXceOHenYsSPt2rWjadOm3LlzBysrK8qUKUNOTk6+OYWGhtKmTRvg6XuU93Czknp2hW9R8hLImZmZ6r6i3ssKFSpgb2/Pr7/+SpcuXQocU19fH6DAeS1cuJDmzZsDTx/iduvWrReaV1GioqIoX748LVoU/NT0w4cP061bN61tPz8/4Gnifs2aNZQvXx5zc/MC++vr6+eb08GDB3FycmLs2LHqvitXrqj/raenh4uLS76x7OzsOHLkCG+//TYAT5484cSJE9SsWbPAc3t4ePDkyROOHDmi1i6+ffs2586dK/G97uHhwYoVK3j8+LGaMC3Jfe7o6Ei/fv3o168fY8aM4csvv2TQoEHY2Nhw//59Hjx4oH5R8mzyu6RKcl8U9DmpWbMm586dK/D6FsbAwKDQhxMKIYQQQgghhBClhSSExSsVFhZGcHAwTk5OXL9+nQkTJqCrq0tISAgALi4uZGdnM3/+fIKDg4mPj+eLL74odlxDQ0O6d+9OZGQk6enpDB48mA4dOmBra1uiuCpVqoS+vj7z58+nX79+nD59moiIiGL7VatWjfXr13Pw4EEsLS2ZPXs2v//++wslhBs3boyrqyvdu3fn008/JT09XSvBV5QRI0YwYcIEqlatSo0aNYiKiiIhIUFdaTp79mzs7Ozw8/NDR0eHdevWYWtri4WFBQDOzs7ExcURGBiIgYEBlpaWVKtWjY0bNxIcHIxGo2H8+PEvtZr5edu3b+f333+nVq1amJqacubMGUaMGEFgYKD6oDso/r2cOHEigwcPpmzZsjRt2pTMzEyOHz/O3bt3GTZsGOXLl8fIyIgdO3ZQsWJFDA0NKVu2LNWqVWPFihX4+/uTnp7OiBEj1JXehcnKyuLs2bPqf//2228kJCRgamqqlQjMzc0lKiqK7t27o6dX8J/NdevW4e/vz5tvvklMTAxHjx5l6dKlAHTp0oVPP/2UVq1aMWnSJCpWrMiVK1fYuHEjI0eOpGLFijg7O7Nz507OnTuHtbW1OqeUlBRWr15NrVq12LZtW7EPhwMYMmQI06dPp1q1ari7uzN79mzu3btXaPtq1arRqlUr+vTpw+LFizEzM2P06NE4ODjQqlWrYs8H0LlzZ8aOHUufPn0YM2YMycnJREZGFtln6NChNGvWDFdXV+7evcuePXvw8PAAoE6dOhgbG/O///2PwYMHc+TIEa2HRJZUSe6Lgj4nn3zyCS1btqRSpUq0a9cOHR0dEhMTOX36NJMnT37hOIQQorRInl7wF5tCCCGEEOK/Q2oIi1fq2rVrhISE4ObmRocOHbC2tubw4cPqz+J9fX2ZPXs2M2bMoHr16sTExDBt2rRix3VxceH999+nefPmNGnSBB8fHxYuXFjiuGxsbIiOjmbdunV4enoyffr0YpNVAOPGjaNmzZoEBQXRoEEDbG1tad26dYnPC6Cjo8OmTZt49OgRtWvXpnfv3kyZMqVEfQcPHsywYcMYPnw43t7e7Nixgy1btlCtWjUAzMzMmDlzJv7+/tSqVYvk5GS2b9+urr6eNWsWu3fvxtHRUV2tOnv2bCwtLalXrx7BwcEEBQUVunL0RRgZGfHll1/y5ptv4uHhwccff8x7773H1q1btdoV91727t2br776iqioKLy9valfvz7R0dFUrlwZeLoqdt68eSxevBh7e3s1Ybl06VLu3r1LzZo16dq1K4MHD6Z8+fJa5w4NDaVBgwbq9vXr1/Hz88PPz4/U1FQiIyPx8/Ojd+/eWv1iY2NJSUmhZ8+ehc5/4sSJrF69Gh8fH5YvX86qVavULw6MjY358ccfqVSpEu+//z4eHh706tWLx48fqyuG+/Tpg5ubG/7+/tjY2BAf/3/s3XlcVdX6+PHPcWA8gKggKCIqoySzFphTDihKjjmhoIg5xCVNUIn04hh6tdIcMgfAAWkwTVMj9YYpopKCUpADhUNSZJoKXAGB3x9+2T+PjFYK1fN+vfarc/Zea+1nr32gF4/rPDuJF198kRkzZhAcHIyLiwvHjx9n7ty5Nd6LmTNnMm7cOAICAvD09MTAwEBZEV6V6Oho3N3dGThwIJ6enpSVlbF///4KJUGqolar2bt3L+np6bi6uhIREcHSpUur7VNSUsIrr7yCg4MD/fr1w9bWVvksNG3alG3btrF//346duzIjh07iIyMrFUsD6vN56KynxNvb28+++wzvvjiCzp16sRzzz3H22+/Xek3CYQQQgghhBBCiL8SVdmjRRqFqGciIyPZvXv37/q6uBAP6969Oz179vxdiUUhHtedO3cwMjLi9u3bVZYKEUIIIYQQQggh/iy1/TtUSkYIIf4Rbt++TVZWFvv27avrUIQQQgghhBBCCCHqjCSEhRD/CEZGRly7dq2uwxBCCCGEEEIIIYSoU1JDWNR7kZGRUi7iLyY7OxuVSvWn37cnNe4/XWJiIiqVqtoHzz1pPXr0YPr06XV2/vHjx9dYH7yuYxRCCCGEEEIIIf4MkhAWQtRaVFQUKpVKkmKV+OSTT+jTpw8mJiYYGhri6elJQkJCXYf1xNQmgfo4PvnkExYuXPinjfe4Vq5cSUxMTJ2dXwghhBBCCCGEeFqkZIQQolZSUlJYv349Tk5OdR1KlcrKyigpKaFRo6f/q+2rr76iT58+LFmyhCZNmhAdHY2vry8nT57E1dX1qcfzV1FUVISWlhZNmzat0ziMjIzq9PxCCPG0WM2RWvr1UXbUgLoOQQghhBD/ILJCWAhRo7y8PPz8/NiwYQPGxsa17vf999/Ts2dP9PT0cHZ2Jjk5GYD8/HwMDQ35+OOPNdrv3r0bfX197t69C8CpU6dwdXVFR0cHDw8PUlNTNdqXlzo4cOAA7u7uaGtrc+zYMQoLCwkJCcHU1BQdHR2ef/55UlJSALh37x6Ojo68/PLLyjhZWVkYGBiwefPmWsf2qHfeeYdZs2bRqVMnbGxsWLJkCTY2Nuzdu7faOSotLWXBggVYWFigra2Ni4sLn3/+OfAgwd27d2+8vb0pKysD4ObNm1hYWDBv3rwa+5c7fvw4Li4uyjzu3r272tIbkZGRuLi4VLg+Kysr5XhsbCyffvopKpUKlUpFYmIiALNnz8bW1hY9PT3atWvH3LlzKS4urjD2xo0badu2LTo6OkDFcgyFhYXMnj2b1q1bo62tjbW1NZs2bapyHrdu3YqHhwcGBgaYmZkxZswYcnNzNdp8++23DBw4EENDQwwMDOjatStZWVlAxRXP+fn5+Pv7o1arMTc3Z8WKFVWeWwghhBBCCCGE+CuRhLAQokavvPIKAwYMoHfv3o/VLyIigtDQUNLS0rC1tWX06NHcv38ffX19Ro0aRXR0tEb76Ohohg8fjoGBAXl5eQwcOJAOHTpw+vRpIiMjCQ0NrfQ8c+bMISoqiszMTJycnJg1axY7d+4kNjaWM2fOYG1tjbe3Nzdv3kRHR4ft27crCc2SkhLGjh1Lnz59CAwMrFVstVFaWsrdu3drXPm6cuVKVqxYwfLlyzl37hze3t68+OKLXLx4EZVKRWxsLCkpKaxatQqAKVOm0KpVKyUhXF1/gDt37uDr60vHjh05c+YMCxcuZPbs2bW6hqqEhoYyYsQI+vXrR05ODjk5OXh5eQFgYGBATEwMGRkZrFy5kg0bNvD2229r9L906RI7d+7kk08+qTIp7e/vz44dO1i1ahWZmZmsX78etVpdZUzFxcUsXLiQs2fPsnv3brKzsxk/frxy/Mcff6Rbt25oa2vz3//+l9OnTxMYGMj9+/crHS8sLIwjR47w6aef8sUXX5CYmMiZM2ceb6KEEEIIIYQQQoh6SEpGCCGqFR8fz5kzZ5QVto8jNDSUAQMefAVy/vz5ODo6cunSJezt7QkKCsLLy4ucnBzMzc3Jzc1l//79HDp0CIC4uDhKS0vZtGkTOjo6ODo6cu3aNaZOnVrhPAsWLKBPnz7Ag5Wd69atIyYmhv79+wOwYcMGDh48yKZNmwgLC8PFxYVFixYRFBTEqFGjuHz5Mp999pkyXk2x1cby5cvJy8tjxIgRNbabPXs2o0aNAmDp0qV8+eWXvPPOO6xZs4ZWrVqxfv16/P39+emnn9i/fz+pqalKWYya+sfFxaFSqdiwYQM6Ojp06NCBH3/8kUmTJtX6Wh6lVqvR1dWlsLAQMzMzjWNvvPGG8trKyorQ0FDi4+OZNWuWsr+oqIgtW7ZgYmJS6fgXLlzgww8/5ODBg8o/QrRr167amAIDA5XX7dq1Y9WqVXTq1Im8vDzUajVr1qzByMiI+Ph4GjduDICtrW2lY+Xl5bFp0ya2bdtGr169AIiNjcXCwqLaGAoLCyksLFTe37lzp9r2QgghhBBCCCFEXZAVwkKIKl29epVXX32V7du3K1/tf9SUKVNQq9XK9rCH6w2bm5sDKF/j79y5M46OjsTGxgKwbds22rRpQ7du3QCU1b4Pn9fT07PSGDw8PJTXWVlZFBcX06VLF2Vf48aN6dy5M5mZmcq+mTNnYmtry+rVq9m8eTPNmjVTjtUU28PXO2XKlArxxMXFMX/+fD788ENMTU0B2L59u0a/o0ePcufOHa5fv64RK0CXLl00Yn3ppZcYMmQIUVFRLF++HBsbG4Ba9T9//nyFeezcuXOl8/hn+OCDD+jSpQtmZmao1WreeOMNrly5otGmTZs2VSaDAdLS0mjYsCHdu3ev9XlPnz6Nr68vlpaWGBgYKH3Lz52WlkbXrl2VZHB1srKyKCoq4tlnn1X2NW3aFDs7u2r7vfnmmxgZGSlb69atax2/EEIIIYQQQgjxtEhCWAhRpdOnT5Obm4ubmxuNGjWiUaNGHDlyhFWrVtGoUSNKSkpYsGABaWlpyvawh5NvKpUKeFBKoVxQUBAxMTHAg5IMEyZMUNo9Dn19/cfuk5uby4ULF2jYsKFSXuFh1cX28PUuWLBAo198fDxBQUF8+OGHGiU2XnzxRY1+Dyexa1JQUMDp06erjPXP1qBBA6VmcbmH6wBXJTk5GT8/P3x8fPjss89ITU0lIiKCoqIijXY13S9dXd3Hijc/Px9vb28MDQ3Zvn07KSkp7Nq1C0A59+OO+XuEh4dz+/ZtZbt69eoTP6cQQgghhBBCCPG4JCEshKhSr169SE9Pr5DI9PPzU1ZxmpqaYm1trWyPY+zYsVy+fJlVq1aRkZFBQECAcszBwYFz585x7949Zd+JEydqHLN9+/ZoaWmRlJSk7CsuLiYlJYUOHToo+wIDA+nYsSOxsbHMnj1bY0VuTbE9fL3lK4ABduzYwYQJE9ixY4dSKqOcgYGBRj9dXV0MDQ1p2bKlRqwASUlJGrHOnDmTBg0acODAAVatWsV///tfgFr1t7OzIz09XaOUQU3lP0xMTPjpp580ksKPJvu1tLQoKSnR2Hf8+HHatGlDREQEHh4e2NjYcPny5WrPVZmOHTtSWlrKkSNHatX+u+++49dffyUqKoquXbtib29f4YFyTk5OHD16tFaJ7fbt29O4cWNOnjyp7Lt16xYXLlyotp+2tjaGhoYamxBCCCGEEEIIUd9IDWEhRJUMDAx45plnNPbp6+vTrFmzCvt/D2NjY4YOHUpYWBh9+/bVqNE6ZswYIiIimDRpEuHh4WRnZ7N8+fIax9TX12fq1KmEhYXRtGlTLC0tWbZsGQUFBUycOBGANWvWkJyczLlz52jdujX79u3Dz8+PEydOoKWlVWNslYmLiyMgIICVK1fy7LPP8tNPPwEPVqYaGRlV2S8sLIx///vftG/fHhcXF6Kjo0lLS2P79u0A7Nu3j82bN5OcnIybmxthYWEEBARw7tw5jI2Na+xfPo8vv/wyc+bM4cqVK8o8VrUau0ePHvzyyy8sW7aM4cOH8/nnn3PgwAGNBKeVlRUJCQmcP3+eZs2aYWRkhI2NDVeuXCE+Pp5OnTqxb98+ZaXu47CysiIgIIDAwEBWrVqFs7Mzly9fJjc3t9KazJaWlmhpafHuu+8yZcoUvvnmGxYuXKjRJjg4mHfffZdRo0YRHh6OkZERJ06coHPnzhVKQajVaiZOnEhYWBjNmjXD1NSUiIgIGjSQf0MVQvz1ZUcNqLmREEIIIYT4W5O/boUQdWrixIkUFRVpPBQMHiTl9u7dS3p6Oq6urkRERLB06dJajRkVFcWwYcMYN24cbm5uXLp0iYSEBIyNjfnuu+8ICwtj7dq1So3XtWvXcuPGDebOnVur2Crz/vvvc//+fV555RXMzc2V7dVXX622X0hICK+99hozZ86kY8eOfP755+zZswcbGxt++eUXJk6cSGRkJG5ubsCDh/O1aNFCqV1cXX94sIp47969pKWl4eLiQkREBPPmzQOosi60g4MDa9euZc2aNTg7O3Pq1ClCQ0M12kyaNAk7Ozs8PDwwMTEhKSmJF198kRkzZhAcHIyLiwvHjx+vMKe1tW7dOoYPH860adOwt7dn0qRJ5OfnV9rWxMSEmJgYPvroIzp06KDUWn5Ys2bN+O9//0teXh7du3fH3d2dDRs2VFlT+D//+Q9du3bF19eX3r178/zzz+Pu7v67rkUIIYQQQgghhKhPVGWPFooUQoinaOvWrcyYMYPr168rq3Pri/oc2x+xfft2JkyYwO3bt59Kbd1/qjt37mBkZMTt27elfIQQQgghhBBCiCeutn+HSskIIUSdKCgoICcnh6ioKCZPnlyvEq71ObbfY8uWLbRr145WrVpx9uxZZs+ezYgRIyQZLIQQQgghhBBC/ANJyQghRJ1YtmwZ9vb2mJmZER4eXtfhaKjPsf0eP/30E2PHjsXBwYEZM2bw0ksv8f7779d1WEIIIYQQQgghhKgDUjJCCCF+p+zsbNq2bUtqaiouLi71flzxdEnJCCGEEEIIIYQQT1Nt/w6VFcJCCPF/1q1bh5OTE4aGhhgaGuLp6cmBAwfqOqy/NJVKxe7du+s6jCrV9/iEEEIIIYQQQog/m9QQFkKI/2NhYUFUVBQ2NjaUlZURGxvLoEGDSE1NxdHRsa7DU5SVlVFSUkKjRvIrXAghxOOxmrOvrkMQjyk7akBdhyCEEEKIvxlZISyEEP/H19cXHx8fbGxssLW1ZfHixajVak6cOFFtv++//56ePXuip6eHs7MzycnJAOTn52NoaMjHH3+s0X737t3o6+tz9+5dAE6dOoWrqys6Ojp4eHiQmpqq0T4xMRGVSsWBAwdwd3dHW1ubY8eOUVhYSEhICKampujo6PD888+TkpICwL1793B0dOTll19WxsnKysLAwIDNmzfXOrb09HReeOEFdHV1adasGS+//DJ5eXkafTZv3oyjoyPa2tqYm5sTHBwMgJWVFQBDhgxBpVIp77Oyshg0aBAtWrRArVbTqVMnDh06pDGmlZUVS5YsITAwEAMDAywtLSvUPa4ptpSUFPr06UPz5s0xMjKie/funDlzRuMclcUH8Omnn+Lm5oaOjg7t2rVj/vz53L9/HyGEEEIIIYQQ4q9OEsJCCFGJkpIS4uPjyc/Px9PTs9q2ERERhIaGkpaWhq2tLaNHj+b+/fvo6+szatQooqOjNdpHR0czfPhwDAwMyMvLY+DAgXTo0IHTp08TGRlJaGhopeeZM2cOUVFRZGZm4uTkxKxZs9i5cyexsbGcOXMGa2trvL29uXnzJjo6Omzfvp3Y2Fg+/fRTSkpKGDt2LH369CEwMLBWseXn5+Pt7Y2xsTEpKSl89NFHHDp0SEn4woMyG6+88govv/wy6enp7NmzB2trawAlOR0dHU1OTo7yPi8vDx8fHw4fPkxqair9+vXD19eXK1euaMSyYsUKJUE+bdo0pk6dyvnz5wFqFdvdu3cJCAjg2LFjnDhxAhsbG3x8fJRkd1XxHT16FH9/f1599VUyMjJYv349MTExLF68uNrPQWFhIXfu3NHYhBBCCCGEEEKI+kYeKieEEA9JT0/H09OTe/fuoVariYuLw8fHp9K25Q9/27hxIxMnTgQgIyMDR0dHMjMzsbe359SpU3h5eXH16lXMzc3Jzc2lVatWHDp0iO7du/P+++/z+uuvc+3aNXR0dAB47733mDp1qvJQucTERHr27Mnu3bsZNGgQ8CAhamxsTExMDGPGjAGguLgYKysrpk+fTlhYGAD/+c9/WLZsGaNGjWLnzp2kp6fTrFkzgBpj27BhA7Nnz+bq1avo6+sDsH//fnx9fbl+/TotWrSgVatWTJgwgUWLFlU6RyqVil27djF48OBq5/2ZZ55hypQpGquLu3btytatW4EHZTLMzMyYP38+U6ZMqVVsjyotLaVJkybExcUxcODAKuPr3bs3vXr1Ijw8XNm3bds2Zs2axfXr16u8hsjISObPn19hvzxUTghRn0jJiL8eKRkhhBBCiNqSh8oJIcTvYGdnR1paGidPnmTq1KkEBASQkZHBlClTUKvVyvYwJycn5bW5uTkAubm5AHTu3BlHR0diY2OBB4nFNm3a0K1bNwBltW95MhiockWyh4eH8jorK4vi4mK6dOmi7GvcuDGdO3cmMzNT2Tdz5kxsbW1ZvXo1mzdvVpLBtY3N2dlZSbgCdOnShdLSUs6fP09ubi7Xr1+nV69eNc7rw/Ly8ggNDcXBwYEmTZqgVqvJzMyssEL44XlVqVSYmZkp81pTbAA///wzkyZNwsbGBiMjIwwNDcnLy6twnkedPXuWBQsWaNzvSZMmkZOTQ0FBQZX9wsPDuX37trJdvXr1seZFCCGEEEIIIYR4GuSJREII8RAtLS2l5IG7uzspKSmsXLmShQsXVlnKoXHjxsprlUoFPFiNWi4oKIg1a9YwZ84coqOjmTBhgtLucTyc/Kyt3NxcLly4QMOGDbl48SL9+vXTOP5HYtPV1X3seABCQ0M5ePAgy5cvx9raGl1dXYYPH05RUZFGu4fnFR7M7cPzWpOAgAB+/fVXVq5cSZs2bdDW1sbT07PCeR6Vl5fH/PnzGTp0aIVjDyfuH6WtrY22tnat4xNCCCGEEEIIIeqCrBAWQohqlJaWUlhYiKmpKdbW1sr2OMaOHcvly5dZtWoVGRkZBAQEKMccHBw4d+4c9+7dU/bV9BA7gPbt26OlpUVSUpKyr7i4mJSUFDp06KDsCwwMpGPHjsTGxjJ79myN1cO1ie3s2bPk5+cr+5KSkmjQoAF2dnYYGBhgZWXF4cOHq4yzcePGlJSUaOxLSkpi/PjxDBkyhI4dO2JmZkZ2dnaN1/ywmmIrfx8SEoKPj4/y0LsbN27UGJ+bmxvnz5/XuN/lW4MG8r9NIYQQQgghhBB/bbJCWAgh/k94eDj9+/fH0tKSu3fvEhcXR2JiIgkJCX9oXGNjY4YOHUpYWBh9+/bFwsJCOTZmzBgiIiKYNGkS4eHhZGdns3z58hrH1NfXZ+rUqYSFhdG0aVMsLS1ZtmwZBQUFSj3jNWvWkJyczLlz52jdujX79u3Dz8+PEydOoKWlVWNsfn5+/Pvf/yYgIIDIyEh++eUX/vWvfzFu3DilRm9kZCRTpkzB1NSU/v37c/fuXZKSkvjXv/4FoCSMu3Tpgra2NsbGxtjY2PDJJ5/g6+uLSqVi7ty5j7Xyt7ax2djYsHXrVjw8PLhz5w5hYWEVVjVXFt+8efMYOHAglpaWDB8+nAYNGnD27Fm++eabKmslCyHEX4XUoxVCCCGEELLUSQgh/k9ubi7+/v7Y2dnRq1cvUlJSSEhIoE+fPn947IkTJ1JUVERgYKDGfrVazd69e0lPT8fV1ZWIiAiWLl1aqzGjoqIYNmwY48aNw83NjUuXLpGQkICxsTHfffcdYWFhrF27ltatWwOwdu1abty4wdy5c2sVm56eHgkJCdy8eZNOnToxfPhwevXqxerVq5U2AQEBvPPOO6xduxZHR0cGDhzIxYsXleMrVqzg4MGDtG7dGldXVwDeeustjI2N8fLywtfXF29vb9zc3Go/mbWMbdOmTdy6dQs3NzfGjRtHSEgIpqamGuNUFp+3tzefffYZX3zxBZ06deK5557j7bffpk2bNo8VoxBCCCGEEEIIUR+pysrKyuo6CCGE+LvbunUrM2bM4Pr168rq3PqiPsf2V1bbp7sKIYQQQgghhBB/htr+HSolI4QQ4gkqKCggJyeHqKgoJk+eXK8SrvU5NiGEEEIIIYQQQjwZUjJCCCGeoGXLlmFvb4+ZmRnh4eF1HY6G+hybEEIIIYQQQgghngwpGSGEEPVIdnY2bdu2JTU1FRcXl3o/7l81jqdBSkYIIYQQQgghhHiaavt3qKwQFkKIJ2jdunU4OTlhaGiIoaEhnp6eHDhwoK7DEv8nMjLyb5+YFkIIIYQQQgghHiY1hIUQ4gmysLAgKioKGxsbysrKiI2NZdCgQaSmpuLo6FjX4SnKysooKSmhUaO/x/8WioqKpCayEEJUwmrOvroOQfxO2VED6joEIYQQQvxNyAphIYR4gnx9ffHx8cHGxgZbW1sWL16MWq3mxIkT1fb7/vvv6dmzJ3p6ejg7O5OcnAxAfn4+hoaGfPzxxxrtd+/ejb6+Pnfv3gXg1KlTuLq6oqOjg4eHB6mpqRrtExMTUalUHDhwAHd3d7S1tTl27BiFhYWEhIRgamqKjo4Ozz//PCkpKQDcu3cPR0dHXn75ZWWcrKwsDAwM2Lx5c61je1hJSQkTJ06kbdu26OrqYmdnx8qVKzXa9OjRg+nTp2vsGzx4MOPHj1feW1lZsXDhQvz9/TE0NFRinD17Nra2tujp6dGuXTvmzp1LcXExADExMcyfP5+zZ8+iUqlQqVTExMQA8NtvvxEUFISJiQmGhoa88MILnD17tsr7JYQQQgghhBBC/FVIQlgIIZ6SkpIS4uPjyc/Px9PTs9q2ERERhIaGkpaWhq2tLaNHj+b+/fvo6+szatQooqOjNdpHR0czfPhwDAwMyMvLY+DAgXTo0IHTp08TGRlJaGhopeeZM2cOUVFRZGZm4uTkxKxZs9i5cyexsbGcOXMGa2trvL29uXnzJjo6Omzfvp3Y2Fg+/fRTSkpKGDt2LH369CEwMLBWsT2qtLQUCwsLPvroIzIyMpg3bx6vv/46H3744WPOLixfvhxnZ2dSU1OZO3cuAAYGBsTExJCRkcHKlSvZsGEDb7/9NgAjR45k5syZODo6kpOTQ05ODiNHjgTgpZdeIjc3lwMHDnD69Gnc3Nzo1asXN2/erPL8hYWF3LlzR2MTQgghhBBCCCHqm7/Hd4OFEKIeS09Px9PTk3v37qFWq9m1axcdOnSotk9oaCgDBjz4auj8+fNxdHTk0qVL2NvbExQUhJeXFzk5OZibm5Obm8v+/fs5dOgQAHFxcZSWlrJp0yZ0dHRwdHTk2rVrTJ06tcJ5FixYQJ8+fYAHq4/XrVtHTEwM/fv3B2DDhg0cPHiQTZs2ERYWhouLC4sWLSIoKIhRo0Zx+fJlPvvsM2W8mmJ7VOPGjZk/f77yvm3btiQnJ/Phhx8yYsSIx5hleOGFF5g5c6bGvjfeeEN5bWVlRWhoKPHx8cyaNQtdXV3UajWNGjXCzMxMaXfs2DFOnTpFbm4u2trawINk8+7du/n44481Vkg/7M0339S4FiGEEEIIIYQQoj6SFcJCCPGE2dnZkZaWxsmTJ5k6dSoBAQFkZGQwZcoU1Gq1sj3MyclJeW1ubg5Abm4uAJ07d8bR0ZHY2FgAtm3bRps2bejWrRuAstpXR0dHGaOqFckeHh7K66ysLIqLi+nSpYuyr3HjxnTu3JnMzExl38yZM7G1tWX16tVs3ryZZs2aKcdqiq0ya9aswd3dHRMTE9RqNe+//z5Xrlypsn1VHr6Wch988AFdunTBzMwMtVrNG2+8UePYZ8+eJS8vj2bNmmncnx9++IGsrKwq+4WHh3P79m1lu3r16mNfgxBCCCGEEEII8aTJCmEhhHjCtLS0sLa2BsDd3Z2UlBRWrlzJwoULqyzl0LhxY+W1SqUCHpRXKBcUFMSaNWuYM2cO0dHRTJgwQWn3OPT19R+7T25uLhcuXKBhw4ZcvHiRfv36aRx/nNji4+MJDQ1lxYoVeHp6YmBgwH/+8x9OnjyptGnQoAFlZWUa/crrAFd3LcnJyfj5+TF//ny8vb0xMjIiPj6eFStWVHt9eXl5mJubk5iYWOFYkyZNquynra2trCgWQgghhBBCCCHqK1khLIQQT1lpaSmFhYWYmppibW2tbI9j7NixXL58mVWrVpGRkUFAQIByzMHBgXPnznHv3j1lX00PsQNo3749WlpaJCUlKfuKi4tJSUnRKHERGBhIx44diY2NZfbs2Rqrh2uK7VFJSUl4eXkxbdo0XF1dsba2rrAK18TEhJycHOV9SUkJ33zzTY3Xc/z4cdq0aUNERAQeHh7Y2Nhw+fJljTZaWlqUlJRo7HNzc+Onn36iUaNGGvfH2tqa5s2b13heIYQQQgghhBCiPpMVwkII8QSFh4fTv39/LC0tuXv3LnFxcSQmJpKQkPCHxjU2Nmbo0KGEhYXRt29fLCwslGNjxowhIiKCSZMmER4eTnZ2NsuXL69xTH19faZOnUpYWBhNmzbF0tKSZcuWUVBQwMSJE4EH5R2Sk5M5d+4crVu3Zt++ffj5+XHixAm0tLRqjO1RNjY2bNmyhYSEBNq2bcvWrVtJSUmhbdu2SpsXXniB1157jX379tG+fXveeustfvvttxqvx8bGhitXrhAfH0+nTp3Yt28fu3bt0mhjZWXFDz/8QFpaGhYWFhgYGNC7d288PT0ZPHgwy5Ytw9bWluvXr7Nv3z6GDBlSaWkKIYT4q8iOGlDXIQghhBBCiDomK4SFEOIJys3Nxd/fHzs7O3r16kVKSgoJCQnKg9z+iIkTJ1JUVERgYKDGfrVazd69e0lPT8fV1ZWIiAiWLl1aqzGjoqIYNmwY48aNw83NjUuXLpGQkICxsTHfffcdYWFhrF27ltatWwOwdu1abty4wdy5c2sV26MmT57M0KFDGTlyJM8++yy//vor06ZN02gTGBhIQEAA/v7+dO/enXbt2tGzZ88ar+XFF19kxowZBAcH4+LiwvHjxyvEOWzYMPr160fPnj0xMTFhx44dqFQq9u/fT7du3ZgwYQK2trbKA/RatGhRm2kUQgghhBBCCCHqLVXZo4UZhRBC/CVs3bqVGTNmcP36dWV1bn1Rn2N7Wu7cuYORkRG3b9/G0NCwrsMRQgghhBBCCPE3V9u/Q6VkhBBC/MUUFBSQk5NDVFQUkydPrlcJ1/ocmxBCCCGEEEIIIaRkhBBC/OUsW7YMe3t7zMzMCA8Pr+twNNTn2IQQQgghhBBCCCElI4QQ4rFkZ2fTtm1bUlNTcXFxqffj/lXj+DuQkhFCCCGEEEIIIZ6m2v4dKiuEhRD/aOvWrcPJyQlDQ0MMDQ3x9PTkwIEDdR2WeEpiYmJo0qRJXYchhBBCCCGEEEI8NVJDWAjxj2ZhYUFUVBQ2NjaUlZURGxvLoEGDSE1NxdHRsa7DU5SVlVFSUkKjRvJrWwghxO9nNWdfXYcgBNlRA+o6BCGEEOIfTVYICyH+0Xx9ffHx8cHGxgZbW1sWL16MWq3mxIkT1fb7/vvv6dmzJ3p6ejg7O5OcnAxAfn4+hoaGfPzxxxrtd+/ejb6+Pnfv3gXg1KlTuLq6oqOjg4eHB6mpqRrtExMTUalUHDhwAHd3d7S1tTl27BiFhYWEhIRgamqKjo4Ozz//PCkpKQDcu3cPR0dHXn75ZWWcrKwsDAwM2Lx5c61jq+76yh07doyuXbuiq6tL69atCQkJIT8/H4AtW7agVqu5ePGi0n7atGnY29tTUFAAwNatW/Hw8MDAwAAzMzPGjBlDbm5uhes/fPgwHh4e6Onp4eXlxfnz5zXiWLduHe3bt0dLSws7Ozu2bt2qcfytt96iY8eO6Ovr07p1a6ZNm0ZeXp5yjgkTJnD79m1UKhUqlYrIyEgACgsLCQ0NpVWrVujr6/Pss8+SmJiIEEIIIYQQQgjxVycJYSGE+D8lJSXEx8eTn5+Pp6dntW0jIiIIDQ0lLS0NW1tbRo8ezf3799HX12fUqFFER0drtI+Ojmb48OEYGBiQl5fHwIED6dChA6dPnyYyMpLQ0NBKzzNnzhyioqLIzMzEycmJWbNmsXPnTmJjYzlz5gzW1tZ4e3tz8+ZNdHR02L59O7GxsXz66aeUlJQwduxY+vTpQ2BgYK1iq+n64EGSuV+/fgwbNoxz587xwQcfcOzYMYKDgwHw9/fHx8cHPz8/7t+/z759+9i4cSPbt29HT08PgOLiYhYuXMjZs2fZvXs32dnZjB8/vtJ5XrFiBV9//TWNGjUiMDBQObZr1y5effVVZs6cyTfffMPkyZOZMGECX375pdKmQYMGrFq1im+//ZbY2Fj++9//MmvWLAC8vLx45513MDQ0JCcnh5ycHOU+BAcHk5ycTHx8POfOneOll16iX79+GknuRxUWFnLnzh2NTQghhBBCCCGEqG/koXJCiH+89PR0PD09uXfvHmq1mri4OHx8fCptW/7QtY0bNzJx4kQAMjIycHR0JDMzE3t7e06dOoWXlxdXr17F3Nyc3NxcWrVqxaFDh+jevTvvv/8+r7/+OteuXUNHRweA9957j6lTpyoPc0tMTKRnz57s3r2bQYMGAQ9WHxsbGxMTE8OYMWOAB4lVKysrpk+fTlhYGAD/+c9/WLZsGaNGjWLnzp2kp6fTrFkzgBpjq831BQUF0bBhQ9avX6/My7Fjx+jevTv5+fno6Ohw69YtnJyc8PX15ZNPPiEkJITXX3+9ynvw9ddf06lTJ+7evYtarVau/9ChQ/Tq1QuA/fv3M2DAAP73v/+ho6NDly5dcHR05P3331fGGTFiBPn5+ezbV/lXoj/++GOmTJnCjRs3gAc1hKdPn85vv/2mtLly5Qrt2rXjypUrtGzZUtnfu3dvOnfuzJIlSyodOzIykvnz51fYLw+VE0LUJ1IyQtQHUjJCCCGEeDLkoXJCCFFLdnZ2pKWlcfLkSaZOnUpAQAAZGRlMmTIFtVqtbA9zcnJSXpubmwMoJQ86d+6Mo6MjsbGxAGzbto02bdrQrVs3AGW1b3kyGKhyRbKHh4fyOisri+LiYrp06aLsa9y4MZ07dyYzM1PZN3PmTGxtbVm9ejWbN29WksG1ia0213f27FliYmI05sbb25vS0lJ++OEHAIyNjdm0aZNS0mHOnDka458+fRpfX18sLS0xMDCge/fuwINkbG3jyMzM1JgLgC5dumjMRXlCuVWrVhgYGDBu3Dh+/fVXpXRFZdLT0ynjqDZDAAEAAElEQVQpKcHW1lbjGo8cOUJWVlaV/cLDw7l9+7ayXb16tcq2QgghhBBCCCFEXZGnEwkh/vG0tLSwtrYGwN3dnZSUFFauXMnChQurLOXQuHFj5bVKpQKgtLRU2RcUFMSaNWuYM2cO0dHRTJgwQWn3OPT19R+7T25uLhcuXKBhw4ZcvHiRfv36aRyvTWzVXV9eXh6TJ08mJCSkwrktLS2V11999RUNGzYkJyeH/Px8pSRFfn4+3t7eeHt7s337dkxMTLhy5Qre3t4UFRXVOo6aZGdnM3DgQKZOncrixYtp2rQpx44dY+LEiRQVFSnlKx6Vl5dHw4YNOX36NA0bNtQ49ug/DDxMW1sbbW3tWsUmhBBCCCGEEELUFVkhLIQQjygtLaWwsBBTU1Osra2V7XGMHTuWy5cvs2rVKjIyMggICFCOOTg4cO7cOe7du6fsq+khdoDy8LSkpCRlX3FxMSkpKXTo0EHZFxgYSMeOHYmNjWX27NkaK2Zriq023NzcyMjI0Jib8k1LSwuA48ePs3TpUvbu3YtarVbqCwN89913/Prrr0RFRdG1a1fs7e01HihXWw4ODhpzAZCUlKTMxenTpyktLWXFihU899xz2Nracv36dY32WlpalJSUaOxzdXWlpKSE3NzcCtdnZmb22HEKIYQQQgghhBD1iawQFkL8o4WHh9O/f38sLS25e/cucXFxJCYmkpCQ8IfGNTY2ZujQoYSFhdG3b18sLCyUY2PGjCEiIoJJkyYRHh5OdnY2y5cvr3FMfX19pk6dSlhYGE2bNsXS0pJly5ZRUFCg1Ptds2YNycnJnDt3jtatW7Nv3z78/Pw4ceKEkqytLrbamD17Ns899xzBwcEEBQWhr69PRkYGBw8eZPXq1dy9e5dx48YREhJC//79sbCwoFOnTvj6+jJ8+HAsLS3R0tLi3XffZcqUKXzzzTcsXLjwsWIACAsLY8SIEbi6utK7d2/27t3LJ598wqFDhwCwtramuLiYd999F19fX5KSknjvvfc0xrCysiIvL4/Dhw/j7OyMnp4etra2+Pn54e/vz4oVK3B1deWXX37h8OHDODk5MWCA1D0UQvx1Se1WIYQQQgghK4SFEP9oubm5+Pv7Y2dnR69evUhJSSEhIYE+ffr84bHLSxMEBgZq7Fer1ezdu5f09HRcXV2JiIhg6dKltRozKiqKYcOGMW7cONzc3Lh06RIJCQkYGxvz3XffERYWxtq1a2ndujUAa9eu5caNG8ydO7dWsdWGk5MTR44c4cKFC3Tt2hVXV1fmzZunPIDt1VdfRV9fX3n4WseOHVmyZAmTJ0/mxx9/xMTEhJiYGD766CM6dOhAVFRUrRLijxo8eDArV65k+fLlODo6sn79eqKjo+nRowcAzs7OvPXWWyxdupRnnnmG7du38+abb2qM4eXlxZQpUxg5ciQmJiYsW7YMgOjoaPz9/Zk5cyZ2dnYMHjyYlJQUjZIYQgghhBBCCCHEX5GqrKysrK6DEEKIv6OtW7cyY8YMrl+/rqzOrS/qc2x/F7V9uqsQQgghhBBCCPFnqO3foVIyQggh/mQFBQXk5OQQFRXF5MmT61XCtT7HJoQQQgghhBBCiCdPSkYIIcSfbNmyZdjb22NmZkZ4eHhdh6OhPscmhBBCCCGEEEKIJ09KRgghxGPIzs6mbdu2pKam4uLiUu/H/TPU59jqMykZIYQQQgghhBDiaart36GyQlgI8Y+2bt06nJycMDQ0xNDQEE9PTw4cOFDXYYmnZPz48QwePLiuwxBCCCGEEEIIIZ4aqSEshPhHs7CwICoqChsbG8rKyoiNjWXQoEGkpqbi6OhY1+EpysrKKCkpoVEj+bUthBDi97Oas6+uQxB1KDtqQF2HIIQQQoh6QFYICyH+0Xx9ffHx8cHGxgZbW1sWL16MWq3mxIkT1fb7/vvv6dmzJ3p6ejg7O5OcnAxAfn4+hoaGfPzxxxrtd+/ejb6+Pnfv3gXg1KlTuLq6oqOjg4eHB6mpqRrtExMTUalUHDhwAHd3d7S1tTl27BiFhYWEhIRgamqKjo4Ozz//PCkpKQDcu3cPR0dHXn75ZWWcrKwsDAwM2Lx5858WG8A333xD//79UavVtGjRgnHjxnHjxg3leGlpKcuWLcPa2hptbW0sLS1ZvHixcnz27NnY2tqip6dHu3btmDt3LsXFxcrxyMhIXFxc2Lp1K1ZWVhgZGTFq1CglRqDauQAoKSlh4sSJtG3bFl1dXezs7Fi5cqXGOWJjY/n0009RqVSoVCoSExMBuHr1KiNGjKBJkyY0bdqUQYMGkZ2dXWEehBBCCCGEEEKIvxpJCAshxP8pKSkhPj6e/Px8PD09q20bERFBaGgoaWlp2NraMnr0aO7fv4++vj6jRo0iOjpao310dDTDhw/HwMCAvLw8Bg4cSIcOHTh9+jSRkZGEhoZWep45c+YQFRVFZmYmTk5OzJo1i507dxIbG8uZM2ewtrbG29ubmzdvoqOjw/bt25UkZ0lJCWPHjqVPnz4EBgb+abH99ttvvPDCC7i6uvL111/z+eef8/PPPzNixAilTXh4OFFRUcydO5eMjAzi4uJo0aKFctzAwICYmBgyMjJYuXIlGzZs4O2339Y4T1ZWFrt37+azzz7js88+48iRI0RFRSnHq5sLeJCUtrCw4KOPPiIjI4N58+bx+uuv8+GHHwIQGhrKiBEj6NevHzk5OeTk5ODl5UVxcTHe3t4YGBhw9OhRkpKSUKvV9OvXj6Kioio/E4WFhdy5c0djE0IIIYQQQggh6ht5qJwQ4h8vPT0dT09P7t27h1qtJi4uDh8fn0rblj9gbePGjUycOBGAjIwMHB0dyczMxN7enlOnTuHl5cXVq1cxNzcnNzeXVq1acejQIbp3787777/P66+/zrVr19DR0QHgvffeY+rUqcqD2xITE+nZsye7d+9m0KBBwIPVx8bGxsTExDBmzBgAiouLsbKyYvr06YSFhQHwn//8h2XLljFq1Ch27txJeno6zZo1A/hTYlu0aBFHjx4lISFBmZdr167RunVrzp8/j7m5OSYmJqxevZqgoKBa3YPly5cTHx/P119/DTxYvfuf//yHn376CQMDA+BBAvirr77ixIkTtZ6LRwUHB/PTTz8pq6THjx/Pb7/9xu7du5U227ZtY9GiRWRmZqJSqQAoKiqiSZMm7N69m759+1Y6dmRkJPPnz6+wXx4qJ4SoT6RkxD+blIwQQggh/t7koXJCCFFLdnZ2pKWlcfLkSaZOnUpAQAAZGRlMmTIFtVqtbA9zcnJSXpubmwOQm5sLQOfOnXF0dCQ2NhZ4kGBs06YN3bp1A1BW+5YnXIEqVyR7eHgor7OysiguLqZLly7KvsaNG9O5c2cyMzOVfTNnzsTW1pbVq1ezefNmJRn8Z8V29uxZvvzyS425sbe3V2LMzMyksLCQXr16VXpNAB988AFdunTBzMwMtVrNG2+8wZUrVzTaWFlZKclgQElgP85crFmzBnd3d0xMTFCr1bz//vsVzvOos2fPcunSJQwMDJTra9q0Kffu3SMrK6vKfuHh4dy+fVvZrl69Wu15hBBCCCGEEEKIuiBPJxJC/ONpaWlhbW0NgLu7OykpKaxcuZKFCxdWWcqhcePGyuvyVaSlpaXKvqCgINasWcOcOXOIjo5mwoQJSrvHoa+v/9h9cnNzuXDhAg0bNuTixYv069dP4/gfjS0vLw9fX1+WLl1a4Zi5uTnff/99tf2Tk5Px8/Nj/vz5eHt7Y2RkRHx8PCtWrNBo9/Acw4N5fniOaxIfH09oaCgrVqzA09MTAwMD/vOf/3Dy5Mlq++Xl5eHu7s727dsrHDMxMamyn7a2Ntra2rWOTwghhBBCCCGEqAuSEBZCiEeUlpZSWFiIqakppqamv2uMsWPHMmvWLFatWkVGRgYBAQHKMQcHB7Zu3cq9e/eUlbg1PcQOoH379mhpaZGUlESbNm2AB2USUlJSmD59utIuMDCQjh07MnHiRCZNmkTv3r1xcHD402Jzc3Nj586dWFlZ0ahRxf+N2NjYoKury+HDhystGXH8+HHatGlDRESEsu/y5cs1Xv/jzkVSUhJeXl5MmzZN6ffoCl8tLS1KSkoqXN8HH3yAqamplHoQQvztSMkAIYQQQgghJSOEEP9o4eHhfPXVV2RnZ5Oenk54eDiJiYn4+fn9oXGNjY0ZOnQoYWFh9O3bFwsLC+XYmDFjUKlUTJo0iYyMDPbv38/y5ctrHFNfX5+pU6cSFhbG559/TkZGBpMmTaKgoECpZ7xmzRqSk5OJjY3Fz8+PwYMH4+fnp/EwtD8a2yuvvMLNmzcZPXo0KSkpZGVlkZCQwIQJEygpKUFHR4fZs2cza9YstmzZQlZWFidOnGDTpk3Ag4TxlStXiI+PJysri1WrVrFr167Hmt/azIWNjQ1ff/01CQkJXLhwgblz55KSkqIxjpWVFefOneP8+fPcuHGD4uJi/Pz8aN68OYMGDeLo0aP88MMPJCYmEhISwrVr1x4rTiGEEEIIIYQQor6RhLAQ4h8tNzcXf39/7Ozs6NWrFykpKSQkJNCnT58/PPbEiRMpKioiMDBQY79arWbv3r2kp6fj6upKREREpeUXKhMVFcWwYcMYN24cbm5uXLp0iYSEBIyNjfnuu+8ICwtj7dq1tG7dGoC1a9dy48YN5s6d+6fF1rJlS5KSkigpKaFv37507NiR6dOn06RJExo0ePC/lblz5zJz5kzmzZuHg4MDI0eOVOr/vvjii8yYMYPg4GBcXFw4fvx4hfj+6FwATJ48maFDhzJy5EieffZZfv31V43VwgCTJk3Czs4ODw8PTExMSEpKQk9Pj6+++gpLS0uGDh2Kg4MDEydO5N69e7JiWAghhBBCCCHEX56qrKysrK6DEEKIv6OtW7cyY8YMrl+/jpaWVl2Ho6E+x/Z3UdunuwohhBBCCCGEEH+G2v4dKjWEhRDiT1ZQUEBOTg5RUVFMnjy5XiVc63NsQgghhBBCCCGEePKkZIQQ4g/Jzs5GpVKRlpb2lxj3acSxbNky7O3tMTMzIzw8/MkFV40ePXpoPGiu3NOOLSYmhiZNmtTYTqVSsXv37iceD0C3bt2Ii4urdfuMjAwsLCzIz89/glEJIYQQQgghhBBPhySEhRCKdevW4eTkhKGhIYaGhnh6enLgwIG6DusvJzIykuLiYg4fPoxarVb2ubi41G1gVB7bkzRy5EguXLigcf7K5iEnJ4f+/fs/8Xj27NnDzz//zKhRowC4efMm//rXv7Czs0NXVxdLS0tCQkK4ffu20qdDhw4899xzvPXWW088PiGEEEIIIYQQ4kmTkhFCCIWFhQVRUVHY2NhQVlZGbGwsgwYNIjU1FUdHx7oOT0NZWRklJSU0avTP+jVWVFRUL8o81DYOXV1ddHV1a2xnZmb2Z4RVo1WrVjFhwgTl4XfXr1/n+vXrLF++nA4dOnD58mWmTJnC9evX+fjjj5V+EyZMYNKkSYSHh//jPnNCiL8Xqzn76joE8SfKjhpQ1yEIIYQQ4i9IVggLIRS+vr74+PhgY2ODra0tixcvRq1Wc+LEiRr7fv/99/Ts2RM9PT2cnZ1JTk4GID8/H0NDQ43kGsDu3bvR19fn7t27AJw6dQpXV1d0dHTw8PAgNTVVo31iYiIqlYoDBw7g7u6OtrY2x44do7CwkJCQEExNTdHR0eH5558nJSUFgHv37uHo6MjLL7+sjJOVlYWBgQGbN2+udWwA3333HV5eXujo6PDMM89w5MgR5VhlZRF2796NSqVSjs+fP5+zZ8+iUqlQqVTExMQQGBjIwIEDNfoVFxdjamrKpk2bgAelH4KDg5k+fTrNmzfH29u7Vv0eVVhYyOzZs2ndujXa2tpYW1srbUtKSpg4cSJt27ZFV1cXOzs7Vq5cqdF//PjxDB48mMWLF9OyZUvs7OyUchqffPJJpff+0bmpah5As2REbcYFOHbsGF27dkVXV5fWrVsTEhJSbVmHX375hf/+97/4+voq+5555hl27tyJr68v7du354UXXmDx4sXs3buX+/fvK+369OnDzZs3Ne67EEIIIYQQQgjxVyQJYSFEpUpKSoiPjyc/Px9PT88a20dERBAaGkpaWhq2traMHj2a+/fvo6+vz6hRo4iOjtZoHx0dzfDhwzEwMCAvL4+BAwfSoUMHTp8+TWRkJKGhoZWeZ86cOURFRZGZmYmTkxOzZs1i586dxMbGcubMGaytrfH29ubmzZvo6Oiwfft2YmNj+fTTTykpKWHs2LH06dOHwMDAWsVWLiwsjJkzZ5Kamoqnpye+vr78+uuvtZrLkSNHMnPmTBwdHcnJySEnJ4eRI0cSFBTE559/Tk5OjtL2s88+o6CggJEjRyr7YmNj0dLSIikpiffee6/W/R7m7+/Pjh07WLVqFZmZmaxfv14pGVFaWoqFhQUfffQRGRkZzJs3j9dff50PP/xQY4zDhw9z/vx5Dh48yGeffabsr+re13YeqlLduFlZWfTr149hw4Zx7tw5PvjgA44dO0ZwcHCV4x07dgw9PT0cHByqbAMoT2N9eCWwlpYWLi4uHD16tNq+QgghhBBCCCFEfSffexVCaEhPT8fT05N79+6hVqvZtWsXHTp0qLFfaGgoAwY8+Nri/PnzcXR05NKlS9jb2xMUFISXlxc5OTmYm5uTm5vL/v37OXToEABxcXGUlpayadMmdHR0cHR05Nq1a0ydOrXCeRYsWECfPn2AB6uP161bR0xMjFJ/dsOGDRw8eJBNmzYRFhaGi4sLixYtIigoiFGjRnH58mWNZGZNsZULDg5m2LBhwINay59//jmbNm1i1qxZNc6Nrq4uarWaRo0aaZRG8PLyws7Ojq1btyrjREdH89JLL2nU97WxsWHZsmUaY9amX7kLFy7w4YcfcvDgQXr37g1Au3btlOONGzdm/vz5yvu2bduSnJzMhx9+yIgRI5T9+vr6bNy4USkVkZ2dDVR/72szD1Wpbtw333wTPz8/5cF5NjY2rFq1iu7du7Nu3Tp0dHQqjHf58mVatGihlIuozI0bN1i4cKHGqvJyLVu25PLly1X2LSwspLCwUHl/586dGq9RCCGEEEIIIYR42mSFsBBCg52dHWlpaZw8eZKpU6cSEBBARkYGAFOmTEGtVivbw5ycnJTX5ubmAOTm5gLQuXNnHB0diY2NBWDbtm20adOGbt26ASirfR9O4lW1KtnDw0N5nZWVRXFxMV26dFH2NW7cmM6dO5OZmansmzlzJra2tqxevZrNmzfTrFkz5VhNsVUWT6NGjfDw8NA4x+8VFBSkrFD++eefOXDgAIGBgRpt3N3df1e/cmlpaTRs2JDu3btXGceaNWtwd3fHxMQEtVrN+++/z5UrVzTadOzYsdK6wdXd+z+iunHPnj1LTEyMxufR29ub0tJSfvjhh0rH+9///ldporjcnTt3GDBgAB06dCAyMrLCcV1dXQoKCqrs/+abb2JkZKRsrVu3rs1lCiGEEEIIIYQQT5UkhIUQGrS0tLC2tsbd3Z0333wTZ2dnpZ7sggULSEtLU7aHNW7cWHldXju3tLRU2RcUFKTUi42OjmbChAlKu8ehr6//2H1yc3O5cOECDRs25OLFixWO/9HYGjRoQFlZmca+4uLiWvX19/fn+++/Jzk5mW3bttG2bVu6du2q0aaya65Nv3I1PdQtPj6e0NBQJk6cyBdffEFaWhoTJkygqKioxjig5nv/e1U3bl5eHpMnT9b4PJ49e5aLFy/Svn37Ssdr3rw5t27dqvTY3bt36devHwYGBuzatUvj3OVu3ryJiYlJlfGGh4dz+/ZtZbt69Wqtr1UIIYQQQgghhHhaJCEshKhWaWmp8jV4U1NTrK2tle1xjB07lsuXL7Nq1SoyMjIICAhQjjk4OHDu3Dnu3bun7KvNg+zat2+v1NYtV1xcTEpKikaZi8DAQDp27EhsbCyzZ8+usLK3utgqi+f+/fucPn1aqUVrYmLC3bt3NR5o9mjCXEtLi5KSkgrjNmvWjMGDBxMdHU1MTAwTJkyo8boft1/Hjh0pLS2t8oFoSUlJeHl5MW3aNFxdXbG2tiYrK6tWcTyuqubhcbm5uZGRkaHxeSzfKlvFDODq6spPP/1UISl8584d+vbti5aWFnv27KlyFfE333yDq6trlTFpa2tjaGiosQkhhBBCCCGEEPWN1BAWQijCw8Pp378/lpaW3L17l7i4OBITE0lISPjDYxsbGzN06FDCwsLo27cvFhYWyrExY8YQERHBpEmTCA8PJzs7m+XLl9c4pr6+PlOnTiUsLIymTZtiaWnJsmXLKCgoYOLEicCDUgjJycmcO3eO1q1bs2/fPvz8/Dhx4oSSOKwutnJr1qzBxsYGBwcH3n77bW7duqWUaHj22WfR09Pj9ddfJyQkhJMnTyorjstZWVnxww8/kJaWhoWFBQYGBmhrawMPVigPHDiQkpKSSpPRValtPysrKwICAggMDGTVqlU4Oztz+fJlcnNzGTFiBDY2NmzZsoWEhATatm3L1q1bSUlJoW3btrWOpbaqm4fHMXv2bJ577jmCg4MJCgpCX1+fjIwMDh48yOrVqyvt4+rqSvPmzUlKSmLgwIHA/08GFxQUsG3bNu7cuaPU/jUxMaFhw4bAg3rJP/74o1KDWQgh/qqyowbUdQhCCCGEEKKOyQphIYQiNzcXf39/7Ozs6NWrFykpKSQkJCgPcfujJk6cSFFRUYVat2q1mr1795Keno6rqysREREsXbq0VmNGRUUxbNgwxo0bh5ubG5cuXSIhIQFjY2O+++47wsLCWLt2rVLPde3atdy4cYO5c+fWKraHzxMVFYWzszPHjh1jz549NG/eHICmTZuybds29u/fT8eOHdmxY0eFGrTDhg2jX79+9OzZExMTE3bs2KEc6927N+bm5nh7e9OyZctaXffj9lu3bh3Dhw9n2rRp2NvbM2nSJGVF8+TJkxk6dCgjR47k2Wef5ddff2XatGm1juNxVDcPj8PJyYkjR45w4cIFunbtiqurK/Pmzat2Hho2bMiECRPYvn27su/MmTOcPHmS9PR0rK2tMTc3V7aHSz7s2LGDvn370qZNm98VrxBCCCGEEEIIUV+oyh4tfCmEEE/I1q1bmTFjBtevX6/ya/11pS5jy8vLo1WrVkRHRzN06NAn3u+f7KeffsLR0ZEzZ87UOrlbVFSEjY0NcXFxGg8wrMmdO3cwMjLi9u3bUj5CCCGEEEIIIcQTV9u/Q6VkhBDiiSsoKCAnJ4eoqCgmT55cr5LBdRlbaWkpN27cYMWKFTRp0oQXX3zxifYTYGZmxqZNm7hy5UqtE8JXrlzh9ddff6xksBBCCCGEEEIIUV9JyQghxBO3bNky7O3tMTMzIzw8vK7D0VCXsV25coUWLVoQFxfH5s2badSodv9G93v7iQcGDx5M165da93e2tqayZMnP8GIhBBCCCGEEEKIp0dKRggh6pXs7Gzatm1LamoqLi4u9X7cv2ocde3w4cMEBwfzzTffKA9uq68+//xz5syZw5kzZ2jQoPb/jiolI4QQQgghhBBCPE21/TtUVggLIZ6YdevW4eTkhKGhIYaGhnh6enLgwIG6DutvITIy8qkmlGNiYmjSpMmfNt6sWbN44403lGRwTEwMKpVK2dRqNe7u7nzyySca/Xr06MH06dNrjK+245XbsWMHDRs25JVXXqlwrF+/fjRu3FjjYXRCCCGEEEIIIcRflXzPWAjxxFhYWBAVFYWNjQ1lZWXExsYyaNAgUlNTcXR0rOvwNJSVlVFSUvKPK79QVFT01Gs6Hzt2jKysLIYNG6ax39DQkPPnzwNw9+5doqOjGTFiBN9++y12dnaPfZ7HGW/Tpk3MmjWL9evXs2LFCnR0dDSOjx8/nlWrVjFu3LjHjkMIIeoTqzn76joEUU9kRw2o6xCEEEIIUUdkhbAQ4onx9fXFx8cHGxsbbG1tWbx4MWq1mhMnTtTY9/vvv6dnz57o6enh7OxMcnIyAPn5+RgaGvLxxx9rtN+9ezf6+vrcvXsXgFOnTuHq6oqOjg4eHh6kpqZqtE9MTESlUnHgwAHc3d3R1tbm2LFjFBYWEhISgqmpKTo6Ojz//POkpKQAcO/ePRwdHXn55ZeVcbKysjAwMGDz5s21jg3gu+++w8vLCx0dHZ555hmOHDmiHKtsNe7u3btRqVTK8fnz53P27FllBWxMTAyBgYEMHDhQo19xcTGmpqZs2rQJeLDCNjg4mOnTp9O8eXO8vb0BeOutt+jYsSP6+vq0bt2aadOmkZeXp8zVhAkTuH37tnK+yMhIAAoLCwkNDaVVq1bo6+vz7LPPkpiYWM2dhfj4ePr06VMh6apSqTAzM8PMzAwbGxsWLVpEgwYNOHfuXLXjVaW24/3www8cP36cOXPmYGtrW+kqYl9fX77++muysrJ+VyxCCCGEEEIIIUR9IQlhIcRTUVJSQnx8PPn5+Xh6etbYPiIigtDQUNLS0rC1tWX06NHcv38ffX19Ro0aRXR0tEb76Ohohg8fjoGBAXl5eQwcOJAOHTpw+vRpIiMjCQ0NrfQ8c+bMISoqiszMTJycnJg1axY7d+4kNjaWM2fOYG1tjbe3Nzdv3kRHR4ft27cTGxvLp59+SklJCWPHjqVPnz4EBgbWKrZyYWFhzJw5k9TUVDw9PfH19eXXX3+t1VyOHDmSmTNn4ujoSE5ODjk5OYwcOZKgoCA+//xzcnJylLafffYZBQUFjBw5UtkXGxuLlpYWSUlJvPfeewA0aNCAVatW8e233xIbG8t///tfZs2aBYCXlxfvvPMOhoaGyvnK5zM4OJjk5GTi4+M5d+4cL730Ev369ePixYtVxn/06FE8PDyqvcaSkhJiY2MBcHNzq9W8/N7xoqOjGTBgAEZGRowdO1ZJnj/M0tKSFi1acPTo0T8cixBCCCGEEEIIUZf+Wd+NFkI8denp6Xh6enLv3j3UajW7du2iQ4cONfYLDQ1lwIAHX2WcP38+jo6OXLp0CXt7e4KCgvDy8iInJwdzc3Nyc3PZv38/hw4dAiAuLo7S0lI2bdqEjo4Ojo6OXLt2jalTp1Y4z4IFC+jTpw/wYPXxunXriImJoX///gBs2LCBgwcPsmnTJsLCwnBxcWHRokUEBQUxatQoLl++zGeffaaMV1Ns5YKDg5WSCevWrePzzz9XyhbURFdXF7VaTaNGjTAzM1P2e3l5YWdnx9atW5VxoqOjeemll1Cr1Uo7Gxsbli1bpjHmw3V5raysWLRoEVOmTGHt2rVoaWlhZGSkrLgtd+XKFaKjo7ly5QotW7ZU7tvnn39OdHQ0S5YsqTT+y5cvK+0fdvv2bSXO//3vfzRu3Jj333+f9u3ba7Rbu3YtGzdu1Nh3//79CiuOazNeaWkpMTExvPvuuwCMGjWKmTNn8sMPP9C2bVuN8Vq2bMnly5crvSZ4sFq6sLBQeX/nzp0q2wohhBBCCCGEEHVFVggLIZ4oOzs70tLSOHnyJFOnTiUgIICMjAwApkyZglqtVraHOTk5Ka/Nzc0ByM3NBaBz5844OjoqKz63bdtGmzZt6NatG4Cy2vfhBGFVq5IfXqmalZVFcXExXbp0UfY1btyYzp07k5mZqeybOXMmtra2rF69ms2bN9OsWTPlWE2xVRZPo0aN8PDw0DjH7xUUFKSsUP755585cOAAgYGBGm3c3d0r9Dt06BC9evWiVatWGBgYMG7cOH799VcKCgqqPFd6ejolJSXY2tpq3McjR45UW1rhf//7X4XkLYCBgQFpaWmkpaWRmprKkiVLmDJlCnv37tVo5+fnp7Qr3xYsWPC7xjt48CD5+fn4+PgA0Lx5c/r06cPmzZsrjKerq1vtfLz55psYGRkpW+vWratsK4QQQgghhBBC1BVJCAshnigtLS2sra1xd3fnzTffxNnZmZUrVwIPVuc+nNR7WOPGjZXX5bVzS0tLlX1BQUHExMQAD1bBTpgwQWn3OPT19R+7T25uLhcuXKBhw4aVlkb4o7E1aNCAsrIyjX3FxcW16uvv78/3339PcnIy27Zto23btnTt2lWjzaPXnJ2dzcCBA3FycmLnzp2cPn2aNWvWAA8eOleVvLw8GjZsyOnTpzXuY2ZmpnKPK9O8eXNu3bpVYX+DBg2wtrbG2toaJycnXnvtNXr06MHSpUs12hkZGSntyjdTU9PfNd6mTZu4efMmurq6NGrUiEaNGrF//35iY2M1Pm8AN2/exMTEpMrrCg8P5/bt28p29erVKtsKIYQQQgghhBB1RRLCQoinqrS0VPlavampqUZS73GMHTuWy5cvs2rVKjIyMggICFCOOTg4cO7cOe7du6fsq82D7Nq3b6/U1i1XXFxMSkqKRpmLwMBAOnbsSGxsLLNnz66wsre62CqL5/79+5w+fRoHBwcATExMuHv3Lvn5+UqbRxPmWlpalJSUVBi3WbNmDB48mOjoaGJiYpgwYUKN13369GlKS0tZsWIFzz33HLa2tly/fr3G87m6ulJSUkJubm6FBO3DpSUe5erqqqwSr0nDhg353//+V6u2jzver7/+yqeffkp8fLxGQjs1NZVbt27xxRdfKP3u3btHVlYWrq6uVY6tra2NoaGhxiaEEEIIIYQQQtQ3UkNYCPHEhIeH079/fywtLbl79y5xcXEkJiaSkJDwh8c2NjZm6NChhIWF0bdvXywsLJRjY8aMISIigkmTJhEeHk52djbLly+vcUx9fX2mTp1KWFgYTZs2xdLSkmXLllFQUMDEiRMBWLNmDcnJyZw7d47WrVuzb98+/Pz8OHHiBFpaWjXGVm7NmjXY2Njg4ODA22+/za1bt5TSDs8++yx6enq8/vrrhISEcPLkSWXFcTkrKyt++OEH0tLSsLCwwMDAAG1tbeDBCuWBAwdSUlJSaTL6UdbW1hQXF/Puu+/i6+ur8bC5h8+Xl5fH4cOHcXZ2Rk9PD1tbW/z8/PD392fFihW4urryyy+/cPjwYZycnJQa0I/y9vZWSmo8rKysjJ9++gl4UFbi4MGDJCQkMG/evBqvoTI1jbd161aaNWvGiBEjKqzg9vHxYdOmTfTr1w94kMDX1tau1QMRhRCiPsuOqvx3sxBCCCGE+OeQFcJCiCcmNzcXf39/7Ozs6NWrFykpKSQkJCgPcfujJk6cSFFRUYUauWq1mr1795Keno6rqysREREVyg5UJSoqimHDhjFu3Djc3Ny4dOkSCQkJGBsb89133xEWFsbatWuV+rBr167lxo0bzJ07t1axPXyeqKgonJ2dOXbsGHv27KF58+YANG3alG3btrF//346duzIjh07iIyM1Og/bNgw+vXrR8+ePTExMWHHjh3Ksd69e2Nubo63t3elD297lLOzM2+99RZLly7lmWeeYfv27bz55psabby8vJgyZQojR47ExMREeShddHQ0/v7+zJw5Ezs7OwYPHkxKSgqWlpZVns/Pz49vv/2W8+fPa+y/c+cO5ubmmJub4+DgwIoVK1iwYAERERE1XkNlahpv8+bNDBkypNJyHsOGDWPPnj3cuHEDgB07duDn54eent7vikUIIYQQQgghhKgvVGWPFqoUQoi/iK1btzJjxgyuX7+urM6tL+oytry8PFq1akV0dDRDhw59queurbCwMO7cucP69evrOpQa3bhxAzs7O77++mvatm1b63537tzByMiI27dvS/kIIYQQQgghhBBPXG3/DpUVwkKIv5yCggKysrKIiopi8uTJ9SoZXJexlZaWkpuby8KFC2nSpAkvvvjiUzv344qIiKBNmzYVHtxWH2VnZ7N27drHSgYLIYQQQgghhBD1lSSEhRB/OcuWLcPe3h4zMzPCw8PrOhwNdRnblStXaNGiBXFxcWzevJlGjepvmfgmTZrw+uuv06BB/f/fkIeHByNHjqzrMIQQQgghhBBCiD+FlIwQQvxpsrOzadu2Lampqbi4uNT7cf8pYmJimD59Or/99ttTHWP8+PH89ttv7N69+3ef969MSkYIIYQQQgghhHiapGSEEOIPW7duHU5OThgaGmJoaIinpycHDhyo67DqlWPHjtGlSxeaNWuGrq4u9vb2vP3223UWj5WVFe+8806dnf+PUqlUTzWBHBkZKf/IIIQQQgghhBDiH6X+fp9YCFHnLCwsiIqKwsbGhrKyMmJjYxk0aBCpqak4OjrWdXiKsrIySkpK6qREgr6+PsHBwTg5OaGvr8+xY8eYPHky+vr6vPzyy089HvFAUVFRvaotLYT4Z7Kas6+uQ6ggO2pAXYcghBBCCCHqmKwQFkJUydfXFx8fH2xsbLC1tWXx4sWo1WpOnDhRbb/vv/+enj17oqenh7OzM8nJyQDk5+djaGjIxx9/rNF+9+7d6Ovrc/fuXQBOnTqFq6srOjo6eHh4kJqaqtE+MTERlUrFgQMHcHd3R1tbm2PHjlFYWEhISAimpqbo6Ojw/PPPk5KSAsC9e/dwdHTUSNJmZWVhYGDA5s2bax3bo1xdXRk9ejSOjo5YWVkxduxYvL29OXr0aLVzZGVlxaJFi/D390etVtOmTRv27NnDL7/8wqBBg1Cr1Tg5OfH1119r9Dt27Bhdu3ZFV1eX1q1bExISQn5+PgA9evTg8uXLzJgxA5VKhUql0uibkJCAg4MDarWafv36kZOTA8BXX31F48aN+emnnzTaT58+na5du1Z5DYsWLcLU1BQDAwOCgoKYM2dOtattK1u97OLiQmRkpHIcYMiQIahUKuV9VlYWgwYNokWLFqjVajp16sShQ4cqjL1w4UL8/f0xNDRU7vPs2bOxtbVFT0+Pdu3aMXfuXIqLi4EHZTDmz5/P2bNnlfmKiYkB4LfffiMoKAgTExMMDQ154YUXOHv2bJXXJoQQQgghhBBC/FVIQlgIUSslJSXEx8eTn5+Pp6dntW0jIiIIDQ0lLS0NW1tbRo8ezf3799HX12fUqFFER0drtI+Ojmb48OEYGBiQl5fHwIED6dChA6dPnyYyMpLQ0NBKzzNnzhyioqLIzMzEycmJWbNmsXPnTmJjYzlz5gzW1tZ4e3tz8+ZNdHR02L59O7GxsXz66aeUlJQwduxY+vTpQ2BgYK1iq43U1FSOHz9O9+7da2z79ttv06VLF1JTUxkwYADjxo3D39+fsWPHcubMGdq3b4+/vz/lpd6zsrLo168fw4YN49y5c3zwwQccO3aM4OBgAD755BMsLCxYsGABOTk5SsIXoKCggOXLl7N161a++uorrly5osxrt27daNeuHVu3blXaFxcXs337dgIDAyuNffv27SxevJilS5dy+vRpLC0tWbduXa3mqCrlyfvo6GhycnKU93l5efj4+HD48GFSU1Pp168fvr6+XLlyRaP/8uXLcXZ2JjU1lblz5wJgYGBATEwMGRkZrFy5kg0bNiglPUaOHMnMmTNxdHRU5qv84XEvvfQSubm5HDhwgNOnT+Pm5kavXr24efPmH7pGIYQQQgghhBCirknJCCFEtdLT0/H09OTevXuo1Wp27dpFhw4dqu0TGhrKgAEPvpI6f/58HB0duXTpEvb29gQFBeHl5UVOTg7m5ubk5uayf/9+ZcVnXFwcpaWlbNq0CR0dHRwdHbl27RpTp06tcJ4FCxbQp08f4MHq43Xr1hETE0P//v0B2LBhAwcPHmTTpk2EhYXh4uLCokWLCAoKYtSoUVy+fJnPPvtMGa+m2KpjYWHBL7/8wv3794mMjCQoKKjGPj4+PkyePBmAefPmsW7dOjp16sRLL70EPFjd6unpyc8//4yZmRlvvvkmfn5+TJ8+HQAbGxtWrVpF9+7dWbduHU2bNqVhw4YYGBhgZmamca7i4mLee+892rdvD0BwcDALFixQjk+cOJHo6GjCwsIA2Lt3L/fu3WPEiBGVxv7uu+8yceJEJkyYoMT/xRdfkJeXV+N1V8XExASAJk2aaMTv7OyMs7Oz8n7hwoXs2rWLPXv2KMlwgBdeeIGZM2dqjPnGG28or62srAgNDSU+Pp5Zs2ahq6uLWq2mUaNGGuc7duwYp06dIjc3F21tbeBBsnn37t18/PHHVZYCKSwspLCwUHl/586d3zMNQgghhBBCCCHEEyUrhIUQ1bKzsyMtLY2TJ08ydepUAgICyMjIYMqUKajVamV7mJOTk/La3NwcgNzcXAA6d+6Mo6MjsbGxAGzbto02bdrQrVs3AGW1r46OjjJGVSuSPTw8lNdZWVkUFxfTpUsXZV/jxo3p3LkzmZmZyr6ZM2dia2vL6tWr2bx5M82aNVOO1RTbw9c7ZcoUjViOHj3K119/zXvvvcc777zDjh07gAcraR/u93ApiYfnqUWLFgB07Nixwr7yuTt79iwxMTEa43l7e1NaWsoPP/xQ6RyV09PTU5LBgJLwLjd+/HguXbqklAOJiYlhxIgR6OvrVzre+fPn6dy5s8a+R9//WfLy8ggNDcXBwYEmTZqgVqvJzMyssEL44c9DuQ8++IAuXbpgZmaGWq3mjTfeqNDvUWfPniUvL49mzZppzPUPP/xAVlZWlf3efPNNjIyMlK1169a/74KFEEIIIYQQQognSFYICyGqpaWlhbW1NQDu7u6kpKSwcuVKFi5cWGUph8aNGyuvy+vYlpaWKvuCgoJYs2YNc+bMITo6mgkTJlSod1sbVSUrq5Obm8uFCxdo2LAhFy9epF+/fhrHq4stLS1NaWdoaKjRr23btsCDhO7PP/9MZGQko0eP5sUXX+TZZ59V2rVq1Up5Xdk8VTd3eXl5TJ48mZCQkArXZWlpWe11Pzxu+djlpSgATE1N8fX1JTo6mrZt23LgwAESExOrHfNxNWjQQOOcgFLPtzqhoaEcPHiQ5cuXY21tja6uLsOHD6eoqEij3aOfh+TkZPz8/Jg/fz7e3t4YGRkRHx/PihUrqj1fXl4e5ubmlV5/kyZNquwXHh7Oa6+9pry/c+eOJIWFEEIIIYQQQtQ7khAWQjyW0tJSCgsLMTU1xdTU9HeNMXbsWGbNmsWqVavIyMggICBAOebg4MDWrVu5d++eskq4pofYAbRv3x4tLS2SkpJo06YN8CDZmJKSopRYAAgMDKRjx45MnDiRSZMm0bt3bxwcHGoVW3livCblcwQPatjWtv5wTdzc3MjIyKg2Di0tLUpKSn7X+EFBQYwePRoLCwvat2+vsdr6UXZ2dqSkpODv76/sK6/5WxUTExONusZ37typsLK5cePGFeJPSkpi/PjxDBkyBHiQsM3Ozq7xeo4fP06bNm2IiIhQ9l2+fFmjTWXz5ebmxk8//USjRo2UB9vVhra2tlJiQgghhBBCCCGEqK8kISyEqFJ4eDj9+/fH0tKSu3fvEhcXR2JiIgkJCX9oXGNjY4YOHUpYWBh9+/bFwsJCOTZmzBgiIiKYNGkS4eHhZGdns3z58hrH1NfXZ+rUqYSFhdG0aVMsLS1ZtmwZBQUFTJw4EYA1a9aQnJzMuXPnaN26Nfv27cPPz48TJ06gpaVVY2yVWbNmDZaWltjb2wPw1VdfsXz58kpX8f5Rs2fP5rnnniM4OJigoCD09fXJyMjg4MGDrF69GnhQJ/err75i1KhRaGtr07x581qP7+3tjaGhIYsWLdKoL1yZf/3rX0yaNAkPDw+8vLz44IMPOHfuHO3atauyzwsvvEBMTAy+vr40adKEefPm0bBhQ402VlZWHD58mC5duqCtrY2xsTE2NjZ88skn+Pr6olKpmDt3rsaK86rY2Nhw5coV4uPj6dSpE/v27WPXrl0VzvfDDz+QlpaGhYUFBgYG9O7dG09PTwYPHsyyZcuwtbXl+vXr7Nu3jyFDhlRamkIIISqTHTWgrkMQQgghhBCiAqkhLISoUm5uLv7+/tjZ2dGrVy9SUlJISEhQHuT2R0ycOJGioiICAwM19qvVavbu3Ut6ejqurq5ERESwdOnSWo0ZFRXFsGHDGDduHG5ubly6dImEhASMjY357rvvCAsLY+3atcrX+NeuXcuNGzeYO3durWKrTGlpKeHh4bi4uODh4cGaNWtYunRpjQnV38PJyYkjR45w4cIFunbtiqurK/PmzaNly5ZKmwULFpCdnU379u2Vh7TVVoMGDRg/fjwlJSUaK38r4+fnR3h4OKGhobi5ufHDDz8wfvx4jdrPjwoPD6d79+4MHDiQAQMGMHjwYI26xgArVqzg4MGDtG7dGldXVwDeeustjI2N8fLywtfXF29vb9zc3Gq8nhdffJEZM2YQHByMi4sLx48fr3Cvhw0bRr9+/ejZsycmJibs2LEDlUrF/v376datGxMmTMDW1lZ5CGF5XWchhBBCCCGEEOKvSlX2aEFHIYR4CrZu3cqMGTO4fv26sjq3vqjPsT1pEydO5JdffmHPnj2P3bdPnz6YmZmxdevWJxDZX8+dO3cwMjLi9u3bFWpOCyGEEEIIIYQQf7ba/h0qJSOEEE9VQUEBOTk5REVFMXny5HqVcK3PsT1pt2/fJj09nbi4uFolgwsKCnjvvffw9vamYcOG7Nixg0OHDnHw4MGnEK0QQgghhBBCCCF+LykZIYR4qpYtW4a9vT1mZmaEh4fXdTga6nNsT9qgQYPo27cvU6ZMqVVJkIfLKri7u7N371527txJ7969n0K0QgghhBBCCCGE+L2kZMRfXHZ2Nm3btiU1NRUXF5e6Ducvx8rKiunTpzN9+vQ6HeOvKDIykt27d5OWlvanj/3dd98xfvx40tLSsLe3fyLnEHWvqKiIDh06sGXLFry8vOo6nCoVFRVha2vLxx9//FgPlJOSEUIIIYQQQgghnqba/h0qK4R/h3Xr1uHk5IShoSGGhoZ4enpy4MCBug6r3iorK6N///6oVCp2795dJzHExMTQpEmTOjk3PEgaq1QqjS0qKqrO4nla3nzzTTp16oSBgQGmpqYMHjyY8+fP19jv3//+N/r6+pw/f57Dhw8/hUhFbf2ZP8fvvfcebdu2rZAM/vLLL/Hx8aFZs2bo6enRoUMHZs6cyY8//ghAYmIiKpUKY2Nj7t27p9E3JSVF+RkrV96+fGvRogXDhg3j+++/V9pU9jNqYWEBgJaWFqGhocyePftPuW4hhBBCCCGEEKIuSQ3h38HCwoKoqChsbGwoKysjNjaWQYMGkZqaiqOj41OLo6io6Kmd64945513NJIz/1QLFixg0qRJynsDA4M//RxFRUX1qu7tkSNHeOWVV+jUqRP379/n9ddfp2/fvmRkZKCvr19lv6ysLAYMGECbNm1+97lLSkpQqVQ0aFA3/+5V1+ev78rKyli9ejULFizQ2L9+/XqmTZtGQEAAO3fuxMrKiitXrrBlyxZWrFjBW2+9pbQ1MDBg165djB49Wtm3adMmLC0tuXLlSoVznj9/HgMDAy5evMjLL7+Mr68v586do2HDhkDFn9Hy/QB+fn7MnDmTb7/99qn+nhdCiD+b1Zx9dR2CeMqyowbUdQhCCCGEqGckU/E7+Pr64uPjg42NDba2tixevBi1Ws2JEyeq7Xft2jVGjx5N06ZN0dfXx8PDg5MnTwIPEmCDBg2iRYsWqNVqOnXqxKFDhzT6W1lZsXDhQvz9/TE0NOTll19Wjn333Xd4eXmho6PDM888w5EjRzT6HjlyhM6dO6OtrY25uTlz5szh/v37AGzZsgW1Ws3FixeV9tOmTcPe3p6CggIWLFjAM888U+F6XFxcmDt3brXXnJaWxooVK9i8eXO17cqVr+T97LPPsLOzQ09Pj+HDh1NQUEBsbCxWVlYYGxsTEhJCSUmJ0q+wsJDQ0FBatWqFvr4+zz77LImJicCD1YETJkzg9u3bysq/yMhIpW9BQQGBgYEYGBhgaWnJ+++/rxx74YUXCA4O1ojxl19+QUtL67FXrhoYGGBmZqZs1SVE4UFJBhcXF9avX0/r1q3R09NjxIgR3L59W2kzfvx4Bg8ezOLFi2nZsiV2dnYApKen88ILL6Crq0uzZs14+eWXycvLq9Bv/vz5mJiYYGhoyJQpU5R/ZNiyZQvNmjWjsLBQI6bBgwczbty4Wl/z559/zvjx43F0dMTZ2ZmYmBiuXLnC6dOnq+yjUqk4ffo0CxYsUO5V+QrP3377TWmXlpaGSqUiOzsb+P+fnT179tChQwe0tbW5cuUKKSkp9OnTh+bNm2NkZET37t05c+ZMhXNu3LiRIUOGoKenh42NjcaD1crPv2/fPpycnNDR0eG5557jm2++UdpUdf5bt27h7++PsbExenp69O/fX+Nnrbzf7t27sbGxQUdHB29vb65evaq0qe3vhyVLllT5WYaaPxc1zZWVlRUAQ4YMQaVSKe8BPv30U9zc3NDR0aFdu3bMnz9f+R1TmdOnTyuJ/3LXrl0jJCSEkJAQNm/eTI8ePbCysqJbt25s3LiRefPmaYwREBCg8bvlf//7H/Hx8QQEBFR6TlNTU8zNzenWrRvz5s0jIyODS5cuKccf/Rk1MTFRjhkbG9OlSxfi4+OrvCYhhBBCCCGEEOKvQBLCf1BJSQnx8fHk5+fj6elZZbu8vDy6d+/Ojz/+yJ49ezh79iyzZs2itLRUOe7j48Phw4dJTU2lX79++Pr6Vljltnz5cpydnUlNTdVIxoaFhTFz5kxSU1Px9PTE19eXX3/9FYAff/wRHx8fOnXqxNmzZ1m3bh2bNm1i0aJFAPj7++Pj44Ofnx/3799n3759bNy4ke3bt6Onp0dgYCCZmZmkpKQo50tNTeXcuXNMmDChymsuKChgzJgxrFmzBjMzs1rPaUFBAatWrSI+Pp7PP/+cxMREhgwZwv79+9m/fz9bt25l/fr1fPzxx0qf4OBgkpOTiY+P59y5c7z00kv069ePixcv4uXlxTvvvIOhoSE5OTnk5OQQGhqq9F2xYgUeHh6kpqYybdo0pk6dqpQ1CAoKIi4uTiMxum3bNlq1asULL7xQ62sCiIqKolmzZri6uvKf//yn2mRZuUuXLvHhhx+yd+9ePv/8cyXGhx0+fJjz589z8OBBPvvsM/Lz8/H29sbY2JiUlBQ++ugjDh06VCGxffjwYTIzM0lMTGTHjh188sknzJ8/H4CXXnqJkpISjaRobm4u+/btIzAw8LGu+2HlyeymTZtW2SYnJwdHR0dmzpxZ4V7VpKCggKVLl7Jx40a+/fZbTE1NuXv3LgEBARw7dowTJ05gY2ODj48Pd+/e1eg7f/58RowYwblz55Sfh5s3b2q0CQsLY8WKFaSkpGBiYoKvry/FxcXVnn/8+PF8/fXX7Nmzh+TkZMrKyvDx8anQb/HixWzZsoWkpCR+++03Ro0apRyv7e+H6j7Ltflc1DRX5b8DoqOjycnJUd4fPXoUf39/Xn31VTIyMli/fj0xMTEsXry4ynt19OhRbG1tNVbKf/TRRxQVFTFr1qxK+zxa9mXcuHEcPXpUmYfyFcVubm5Vnrecrq4u8HjftOjcuTNHjx6t8nhhYSF37tzR2IQQQgghhBBCiPpGEsK/U3p6Omq1Gm1tbaZMmcKuXbvo0KFDle3j4uL45Zdf2L17N88//zzW1taMGDFCSSI7OzszefJknnnmGWxsbFi4cCHt27fXSMjBgxWrM2fOpH379rRv317ZHxwczLBhw3BwcGDdunUYGRmxadMmANauXUvr1q1ZvXo19vb2ysrQFStWKAnp9evXk5OTQ0hICBMnTiQyMhJ3d3fgQYkMb29voqOjlfNFR0fTvXt32rVrV+U1z5gxAy8vLwYNGvRYc1tcXMy6detwdXWlW7duDB8+nGPHjrFp0yY6dOjAwIED6dmzJ19++SUAV65cITo6mo8++oiuXbvSvn17QkNDef7554mOjkZLSwsjIyNUKpWy8k+tVivn8/HxYdq0aVhbWzN79myaN2+ujD106FDgwerHcjExMYwfP/6xymCEhIQQHx/Pl19+yeTJk1myZEmVSa+H3bt3jy1btuDi4kK3bt149913iY+P56efflLa6Ovrs3HjRhwdHXF0dCQuLk7p98wzz/DCCy+wevVqtm7dys8//6z009LSYvPmzTg6OjJgwAAWLFjAqlWrKC0tRVdXlzFjxmjc823btmFpaUmPHj1qfd0PKy0tZfr06XTp0qXSFeflzMzMaNSoEWq1usK9qklxcTFr167Fy8tLWWH+wgsvMHbsWOzt7XFwcOD999+noKCgwir68ePHM3r0aKytrVmyZAl5eXmcOnVKo82///1v+vTpQ8eOHYmNjeXnn39m165dVZ6//B+ANm7cSNeuXXF2dmb79u38+OOPGnV4i4uLWb16NZ6enri7uxMbG8vx48eV89f290N1n+XafC5qmqvyFbNNmjTRWEE7f/585syZQ0BAAO3ataNPnz4sXLiQ9evXV3mvLl++TMuWLTX2Xbx4EUNDQ8zNzau/0f/H1NSU/v37ExMTA8DmzZtr9Q8WOTk5LF++nFatWimr6gFmz56NWq1WtlWrVmn0a9myJZcvX65y3DfffBMjIyNla926da2uQwghhBBCCCGEeJokIfw72dnZkZaWxsmTJ5k6dSoBAQFkZGQAMGXKFI2kAjz4erurq2uVKyPz8vIIDQ3FwcGBJk2aoFaryczMrLACsKon3D+8OrlRo0Z4eHiQmZkJQGZmJp6enhoJzC5dupCXl8e1a9eAB1+H3rRpE+vWraN9+/bMmTNHY/xJkyaxY8cO7t27R1FREXFxcUriZcmSJRrXe+XKFfbs2cN///tf3nnnnSrn0NHRUenTv39/Zb+enp5GsrtFixZYWVlpJAZbtGhBbm4u8CA5X1JSgq2trUYcR44cISsrq8rzl3NyclJelyeNy8fW0dFh3LhxytfSz5w5wzfffMP48eMrHauyew/w2muv0aNHD5ycnJgyZQorVqzg3XffVVYeP9xnypQpSj9LS0tatWqlvPf09KS0tFTjwWwdO3bUqBucmZmJs7OzRkmKLl26VOjn7OyMnp6exth5eXlKqYJJkybxxRdfKA/yqi4RfvToUY1r2L59e4U2r7zyCt98843GV+6rmq/fS0tLS+N+Avz8889MmjQJGxsbjIyMMDQ0JC8vr8LP1sP99PX1MTQ0VD4H5R7+OWvatCl2dnbKz1ll58/MzKRRo0Y8++yzyr5mzZpV6NeoUSM6deqkvLe3t6dJkyZKm9r+fqjus1ybz0Vt5+pRZ8+eZcGCBRr3ctKkSeTk5FBQUFBpn//973/o6Oho7CsrK3vseuOBgYHExMTw/fffk5ycjJ+fX5VtLSws0NfXp2XLluTn57Nz506Nn52wsDDS0tKUzd/fX6O/rq5uldcDEB4ezu3bt5Xt4bIfQgghhBBCCCFEfSEPlfudtLS0sLa2BsDd3Z2UlBRWrlzJ+vXrWbBgQYWvuZd/PbkqoaGhHDx4kOXLl2NtbY2uri7Dhw+v8HXmmurO/hFfffUVDRs2JCcnh/z8fI2vcvv6+qKtrc2uXbvQ0tKiuLiY4cOHAw+SeiNGjFDatmzZkrfeeousrKwKX/EeNmwYXbt2JTExkf379ytfm394fho3bqzRR6VSVbrv4XIbDRs25PTp0xoPgQJqlWSsbmx4UDbCxcWFa9euER0dzQsvvFDlw84qu/eVefbZZ7l//z7Z2dnKPy6UMzQ0rLH/w57UZ8LV1RVnZ2e2bNlC3759+fbbb9m3r/IH0Xh4eGhcQ4sWLTSOBwcH89lnn/HVV19hYWGh7K/tfJU/mK2srEzZ93DJhXK6uroVEooBAQH8+uuvrFy5kjZt2qCtrY2np2eFn62aPge1Udn5/wy1/f3wR6+htnP1qLy8PObPn6+sqH/Yo0nfcs2bNyc9PV1jn62tLbdv3yYnJ6fWq4T79+/Pyy+/zMSJE/H19aVZs2ZVtj169CiGhoaYmppW+lDH5s2bK7/XK3Pz5k2NusKP0tbWRltbu1ZxCyGEEEIIIYQQdUUSwn+S0tJSZbWnqakppqamGsednJzYuHEjN2/erHSVcFJSEuPHj2fIkCHAgwRL+cOyauPEiRN069YNgPv373P69GmlNqiDgwM7d+7UWH2XlJSEgYGBkpw7fvw4S5cuZe/evcyePZvg4GBiY2OV8Rs1akRAQIBSgmHUqFFKErdp06YVrmnOnDkEBQVp7OvYsSNvv/02vr6+AFUmVR+Xq6srJSUl5Obm0rVr10rbaGlpaTyE7nF07NgRDw8PNmzYQFxcHKtXr66ybWX3vjJpaWk0aNBAaVtVEurKlStcv35d+Wr9iRMnaNCggcbX3B/l4OBATEwM+fn5SrI4KSmpQr+zZ8/yv//9T7mPJ06cQK1Wa3zNPSgoiHfeeYcff/yR3r17V/kVeF1d3UqvoaysjH/961/s2rWLxMRE2rZtq3G8tvNVnoTLycnB2NgYQCMBXZ2kpCTWrl2Lj48PAFevXuXGjRu16vuoEydOYGlpCcCtW7e4cOECDg4OVbZ3cHDg/v37nDx5Ei8vLwB+/fVXzp8/r1Fi5v79+3z99dd07twZgPPnz/Pbb78pY//R3w/lsdT0uajNXDVu3LjCz5Kbmxvnz5+vNpn6KFdXV9atW6fxe2n48OHMmTOHZcuW8fbbb1fo89tvv1X4R6ZGjRrh7+/PsmXLOHDgQLXnbNu2bYX+j+Obb77B1dX1d/cXQgghhBBCCCHqA0kI/w7h4eH0798fS0tL7t69S1xcHImJiSQkJFTZZ/To0SxZsoTBgwfz5ptvYm5uTmpqKi1btsTT0xMbGxs++eQTfH19UalUzJ0797FW9q1ZswYbGxscHBx4++23uXXrllLSYdq0abzzzjv861//Ijg4mPPnz/Pvf/+b1157jQYNGnD37l3GjRtHSEgI/fv3x8LCgk6dOuHr66usAoYHycGHE1TVKa/V+yhLS8sKScE/ytbWFj8/P/z9/VmxYgWurq788ssvHD58GCcnJwYMGICVlRV5eXkcPnxYKZXwcLmEmgQFBREcHIy+vr6SlKut5ORkTp48Sc+ePTEwMCA5OZkZM2YwduxYJblZFR0dHQICAli+fDl37twhJCSEESNGVPuQPj8/P/79738TEBBAZGQkv/zyC//6178YN26cxsrdoqIiJk6cyBtvvEF2djb//ve/CQ4OVlbjAowZM4bQ0FA2bNjAli1bHuu64UGZiLi4OD799FMMDAyU2sdGRkY1rpp/mLW1Na1btyYyMpLFixdz4cIFVqxYUau+NjY2bN26FQ8PD+7cuUNYWNhjnfthCxYsoFmzZrRo0YKIiAiaN2/O4MGDqz33oEGDmDRpEuvXr8fAwIA5c+bQqlUrjdrajRs35l//+herVq2iUaNGBAcH89xzzykJ4j/6+wFq97mozVxZWVlx+PBhunTpgra2NsbGxsybN4+BAwdiaWnJ8OHDadCgAWfPnuWbb75RHl75qJ49e5KXl8e3336r1JRu3bo1b7/9NsHBwdy5cwd/f3+srKy4du0aW7ZsQa1WV3rfFy5cSFhYWLWrg/8MR48eZeHChU/0HEII8aRlRw2o6xCEEEIIIUQdkxrCv0Nubi7+/v7Y2dnRq1cvUlJSSEhIoE+fPlX20dLS4osvvsDU1BQfHx86duxIVFSUUuLgrbfewtjYGC8vL3x9ffH29sbNza3WMUVFRREVFYWzszPHjh1jz549NG/eHIBWrVqxf/9+Tp06hbOzM1OmTFESgQCvvvoq+vr6LFmyBHiwInbJkiVMnjxZqR8LD5JFXl5e2Nvba9RErQ+io6Px9/dn5syZ2NnZMXjwYFJSUpTVnF5eXkyZMoWRI0diYmLCsmXLHmv80aNH06hRI0aPHl3lV+Croq2tTXx8PN27d8fR0ZHFixczY8YM3n///Rr7WltbM3ToUHx8fOjbty9OTk6sXbu22j56enokJCRw8+ZNOnXqxPDhw+nVq1eFlc29evXCxsaGbt26MXLkSF588UUiIyM12hgZGTFs2DDUanW1ic+qrFu3jtu3b9OjRw/Mzc2V7YMPPniscRo3bsyOHTv47rvvcHJyYunSpVUmGh+1adMmbt26hZubm/IPH7VZlVyZqKgoXn31Vdzd3fnpp5/Yu3evRg3aykRHR+Pu7s7AgQPx9PSkrKyM/fv3a5R30NPTY/bs2YwZM4YuXbqgVqs15uiP/n4oP0dNn4vazNWKFSs4ePAgrVu3VlbLent789lnn/HFF1/QqVMnnnvuOd5+++1qvwXQrFkzhgwZUqHe9LRp05Ta1UOGDMHe3p6goCAMDQ2rLC+ipaVF8+bNn0i5jnLJycncvn1b4x/JhBBCCCGEEEKIvyJV2cNFOYWoRllZGTY2NkybNo3XXnutrsN5qrKzs2nfvj0pKSmPnYj7vSIjI9m9e3etSyM8jvHjx/Pbb7+xe/fuGtv26tULR0dHVq1a9afH8VeRmJhIz549uXXr1h8qOVCZmJgYpk+fzm+//fanjvtXcO7cOfr06UNWVtaf8lDBJ2nkyJE4Ozvz+uuv17rPnTt3MDIy4vbt249dG1wIIYQQQgghhHhctf07VFYIi1r55ZdfWL16NT/99BMTJkyo63CemuLiYn766SfeeOMNnnvuuaeWDK4Pbt26pdT+feWVV+o6HPE3VL7a+4cffqjrUKpVVFREx44dmTFjRl2HIoQQQgghhBBC/GFSQ1jUiqmpKc2bN+f999+vse7t30lSUhI9e/bE1taWjz/+uK7DeapcXV25desWS5curfYhdkL8EePHj6/rEGqkpaWllNgRQgghhBBCCCH+6qRkhBD/QCqVil27dv2uusBPwuOUsKgP49ZXPXr0wMXFhXfeeed3j/EkS5X800jJCCGEEEIIIYQQT5OUjBDiH2zdunU4OTlhaGiIoaEhnp6eHDhw4E89x/jx4+tNQvmvqEePHqhUKo1typQpdR3Wn06lUtXbhHx2djYqlUqS30IIIYQQQggh/lGkZIQQf0MWFhZERUVhY2NDWVkZsbGxDBo0iNTUVBwdHes6vHqjqKgILS2tOjv/pEmTWLBggfJeT0+vzmIRQgjxz2A1Z19dhyAeQ3bUgLoOQQghhBB/Q7JCWIi/IV9fX3x8fLCxscHW1pbFixejVqs5ceKE0iYnJ4f+/fujq6tLu3btKtRIvnr1KiNGjKBJkyY0bdqUQYMGkZ2dDTwoKxAbG8unn36qrG5NTEwEYPbs2dja2qKnp0e7du2YO3cuxcXFtYp7+fLlmJub06xZM1555RWl34IFC3jmmWcqtHdxcWHu3LkAlJSU8Nprr9GkSROaNWvGrFmzeLQiTo8ePQgODmb69Ok0b94cb29vAI4cOULnzp3R1tbG3NycOXPmcP/+fQC2bNmCWq3m4sWLyjjTpk3D3t6egoKCWsVWFT09PczMzJStNmUFkpKS6NGjB3p6ehgbG+Pt7c2tW7eU46WlpcyaNYumTZtiZmZGZGSkRv8rV64waNAg1Go1hoaGjBgxgp9//rnac27cuBEHBwd0dHSwt7dn7dq1yrGioiKCg4MxNzdHR0eHNm3a8OabbwJgZWUFwJAhQ1CpVMp7gE8//RQ3Nzd0dHRo164d8+fPV+YcHqws3rhxI0OGDEFPTw8bGxv27NmjEVd19w3g888/5/nnn1c+EwMHDiQrK0s53rZtW+BBvWyVSkWPHj1qdc1CCCGEEEIIIcRfmSSEhfibKykpIT4+nvz8fDw9PZX9c+fOZdiwYZw9exY/Pz9GjRpFZmYmAMXFxXh7e2NgYMDRo0dJSkpCrVbTr18/ioqKCA0NZcSIEfTr14+cnBxycnLw8vICwMDAgJiYGDIyMli5ciUbNmzg7bffrjHOL7/8kqysLL788ktiY2OJiYkhJiYGgMDAQDIzM0lJSVHap6amcu7cOSZMmADAihUriImJYfPmzRw7doybN2+ya9euCueJjY1FS0uLpKQk3nvvPX788Ud8fHzo1KkTZ8+eZd26dWzatIlFixYB4O/vj4+PD35+fty/f599+/axceNGtm/fjp6eXq1iq8r27dtp3rw5zzzzDOHh4RQUFFTbPi0tjV69etGhQweSk5M5duwYvr6+lJSUaFyfvr4+J0+eZNmyZSxYsICDBw8CD5LFgwYN4ubNmxw5coSDBw/y/fffM3LkyGpjnDdvHosXLyYzM5MlS5Ywd+5cYmNjAVi1ahV79uzhww8/5Pz582zfvl1J/JbPSXR0NDk5Ocr7o0eP4u/vz6uvvkpGRgbr168nJiaGxYsXa5x7/vz5jBgxgnPnzin34ObNmwA13jeA/Px8XnvtNb7++msOHz5MgwYNGDJkCKWlpQCcOnUKgEOHDpGTk8Mnn3xSq2uuSmFhIXfu3NHYhBBCCCGEEEKI+kYeKifE31R6ejqenp7cu3cPtVpNXFwcPj4+AEq92nXr1intn3vuOdzc3Fi7di3btm1j0aJFZGZmolKpgAcrQZs0acLu3bvp27dvrR/Ytnz5cuLj4/n666+rbDN+/HgSExPJysqiYcOGAIwYMYIGDRoQHx8PgI+PD1ZWVspKzZCQENLT0/nyyy8BaNmyJTNmzCAsLAyA+/fv07ZtW9zd3ZUYe/TowZ07dzhz5oxy7oiICHbu3KlxrWvXrmX27Nncvn2bBg0acOvWLZycnPD19eWTTz4hJCSE119/XRmjptgq8/7779OmTRtatmzJuXPnmD17Np07d1aSkpUZM2YMV65c4dixY5Ue79GjByUlJRw9elTZ17lzZ1544QWioqI4ePAg/fv354cffqB169YAZGRk4OjoyKlTp+jUqVOFh8pZW1uzcOFCRo8erYy5aNEi9u/fz/HjxwkJCeHbb7/l0KFDyvw9rLIHGPbu3ZtevXoRHh6u7Nu2bRuzZs3i+vXrSr833niDhQsXAg+Su2q1mgMHDtCvX79a3bdH3bhxAxMTE9LT03nmmWfIzs6mbdu2pKam4uLiorSr6ZqrEhkZyfz58yvsl4fKCSHqEykZ8dciJSOEEEII8TjkoXJC/MPZ2dmRlpbGyZMnmTp1KgEBAWRkZCjHH14tXP6+fIXw2bNnuXTpEgYGBqjVatRqNU2bNuXevXsaX7mvzAcffECXLl0wMzNDrVbzxhtvcOXKFeBBuYLy8dRqNUuWLFH6OTo6KslgAHNzc3Jzc5X3kyZNYseOHdy7d4+ioiLi4uIIDAwEHiTccnJyePbZZ5X2jRo1wsPDo0J87u7uGu8zMzPx9PTUSGZ26dKFvLw8rl27BoCxsTGbNm1i3bp1tG/fnjlz5miMUV1sS5Ys0bjm8rl4+eWX8fb2pmPHjvj5+bFlyxZ27dqlzK+jo6PSp3///sD/XyFcHScnJ433D89jZmYmrVu3VpLBAB06dKBJkybKvX9Yfn4+WVlZTJw4UeMaFi1apMQ5fvx40tLSsLOzIyQkhC+++KLa+ODB52vBggUaY06aNImcnByNVdIPX4u+vj6GhoYa11LTfbt48SKjR4+mXbt2GBoaKiuXy+9BZWpzzVUJDw/n9u3bynb16tUa50IIIYQQQgghhHja5KFyQvxNaWlpYW1tDTxIgqakpLBy5UrWr19fY9+8vDzc3d3Zvn17hWMmJiZV9ktOTsbPz4/58+fj7e2NkZER8fHxrFixAniwird85SlA06ZNldeNGzfWGEulUilf7YcHdZG1tbXZtWsXWlpaFBcXM3z48Bqv5VH6+vqP3Qfgq6++omHDhuTk5JCfn4+BgUGtYpsyZQojRoxQ2rZs2bLS8cuT2ZcuXaJ9+/bs379fqaGsq6ur8d/q1DSPjyMvLw+ADRs2aCTbASV57+bmxg8//MCBAwc4dOgQI0aMoHfv3hVqUj867vz58xk6dGiFYzo6On/atfj6+tKmTRs2bNhAy5YtKS0t5ZlnnqGoqKja2KD6a66KtrY22tratY5PCCGEEEIIIYSoC5IQFuIforS0lMLCQuX9iRMn8Pf313jv6uoKPEjyffDBB5iamlb5FQMtLS2N2rUAx48fp02bNkRERCj7Ll++rLxu1KiRkqR+XI0aNSIgIIDo6Gi0tLQYNWqUkiA1MjLC3NyckydP0q1bN+BByYjTp0/j5uZW7bgODg7s3LmTsrIyZbVpUlISBgYGWFhYKNe19P+xd99hVdb/48efx8E+IBsciAoiICCIC3LlQFNyr9RE0BygaYKKK0cFOXLkKE0BTcPM3CtHbv2oKI5AVBKxgsyFIco8vz/4eX89AYJlofV6XNd9XZz3/R6v93287OLV29f98cds27aNCRMmEBISolVP9lmxmZmZaSW+S/IkUW5rawtAzZo1i/Rxd3dn//79xZYlKAtnZ2du3rzJzZs3tUpG3L9/HxcXlyL9ra2tqVq1Kj/++CP9+/cvcV5jY2P69OlDnz596NmzJx06dODu3buYmZlRuXLlIn9OvLy8SEpK+tN/Fp7s5Vnf2507d0hKSmLFihU0b94coEipDR0dHQCt+Mq6ZyGEEEIIIYQQ4lUlCWEh/oXCw8Pp2LEjdnZ2/P7776xbt46DBw+yZ88epc+GDRvw9vbmtddeY+3atZw6dYqVK1cC0L9/f+bMmUOXLl2YOXMm1atX58aNG3z77beMHz+e6tWrY29vz549e0hKSsLc3BwTExMcHR1JTU0lNjaWRo0asWPHjmJf7PZnDRkyBGdnZ6Aw+fe0d999l8jISBwdHalXrx6ffPIJ9+/fL3XOkSNHsmDBAkaNGkVISAhJSUm8//77vPfee1SoUIHff/+dgQMHMnr0aDp27Ej16tVp1KgR/v7+WieUnxXbHyUnJys1nc3Nzblw4QJjx46lRYsWRUo+PC08PBw3NzdGjhzJ8OHD0dHR4fvvv6dXr15YWFiUute2bdsqJSoWLFhAXl4eI0eOpGXLlsWW14DCF7uNHj0aExMTOnToQHZ2NmfOnOHevXu89957fPLJJ9ja2uLp6UmFChXYsGEDNjY2VKlSBQB7e3v279+Pr68vurq6mJqaMm3aNDp37oydnR09e/akQoUKnD9/nkuXLmm9FO5ZSvveTE1NMTc3Z/ny5dja2pKamlqk1IeVlRX6+vrs3r2b6tWro6enh4mJSal7FkKIV5nUpBVCCCGEEFJDWIh/oVu3bvH222/j5OREmzZtOH36NHv27KFdu3ZKnxkzZhAbG4u7uzurV6/mq6++Uk6JGhgYcPjwYezs7OjevTvOzs4EBQXx+PFj5cTw0KFDcXJywtvbG0tLS44dO8abb77J2LFjCQkJoUGDBhw/fpypU6e+sH05Ojri4+NDvXr1ivxz/nHjxjFw4EAGDRpEs2bNUKvVdOvWrdQ5q1Wrxs6dOzl16hQeHh4MHz6coKAgpkyZAhQmmg0NDZV6x25ubnz00UcMGzaMn3/+uUyx/ZGOjg779u2jffv21KtXj3HjxtGjRw+2bdv2zHF169blu+++4/z58zRu3JhmzZqxZcsWKlUq2//bU6lUbNmyBVNTU1q0aEHbtm2pXbs269evL3HMkCFD+OKLL4iKisLNzY2WLVsSHR1NrVq1AFCr1cyePRtvb28aNWpESkoKO3fuVF7qNm/ePPbu3UuNGjWUE+h+fn5s376d7777jkaNGtG0aVPmz59f7KnokpT2vT15IWFcXBz169dn7NixzJkzR2uOSpUqsWjRIj7//HOqVq1Kly5dyrRnIYQQQgghhBDiVabSaDSa8g5CCCHKQqPR4OjoyMiRI1+6k5ovc2yifJT17a5CCCGEEEIIIcSLUNbfQ6VkhBDilfDbb78RGxtLeno6gwcPLu9wtLzMsQkhhBBCCCGEEEI8TRLCQohXgpWVFRYWFixfvhxTU9PyDkfLyxybEEIIIYQQQgghxNOkhrAQ4pWg0Wj47bffeOutt8o7lCJepthSUlJQqVTEx8eXdyilysnJwcHBgePHj5d3KOTk5GBvb8+ZM2fKOxQhhBBCCCGEEOJvJQlhIcS/RkREBI0aNUKtVmNlZUXXrl1JSkr6S3OqVCo2b978YgJ8yVy7do3AwEDs7OzQ1dWlWrVqtGnThrVr15KXl6f0U6lUymViYoKvry8HDhxQ7gcEBGj1eXJ16NDhmet/9tln1KpVCx8fH6Xtww8/xMfHBwMDA6pUqVLsuNOnT9OmTRuqVKmCqakpfn5+nD9/vtT9LlmyBHt7e/T09GjSpAmnTp1S7uno6BAaGsqECROKHduqVatS5xdCCCGEEEIIIV4FUjJCCPGvcejQIYKDg2nUqBF5eXlMmjSJ9u3bk5CQgKGhYXmH90z5+fmoVCoqVPhn/j/dqVOnaNu2La6urixZsoR69eoBcObMGZYsWUL9+vXx8PBQ+kdFRdGhQwdu377N5MmT6dy5M5cuXaJ27doAdOjQgaioKK01dHV1S1xfo9GwePFiZs6cqdWek5NDr169aNasGStXriwyLjMzkw4dOvDmm2+ydOlS8vLyeP/99/Hz8+PmzZtUrly52PXWr1/Pe++9x2effUaTJk1YsGABfn5+JCUlYWVlBUD//v0ZN24cP/zwA66urly5coWzZ8/St29fZZ6zZ8/yyy+/0Llz52c9XiHES85+4o7yDqHcpER2Ku8QhBBCCCFEOZMTwkKIf43du3cTEBCAq6srHh4eREdHk5qaSlxcXIljcnJyCAkJwdbWFj09PWrWrElERAQA9vb2AHTr1g2VSqV8BtiyZQteXl7o6elRu3ZtZsyYoXWq9pNPPsHNzQ1DQ0Nq1KjByJEjyczMVO5HR0dTpUoVtm7diouLC7q6uqSmpnLv3j3efvttTE1NMTAwoGPHjly9ehWAhw8fYmxszDfffKO1h82bN2NoaMjvv/9epuek0WgICAigbt26HDt2DH9/fxwdHXF0dKRfv34cPXoUd3d3rTFVqlTBxsaG+vXrs2zZMh49esTevXuV+7q6utjY2Ghdz6qnHBcXR3JyMp06aScmZsyYwdixY3Fzcyt23OXLl7l79y4zZ87EyckJV1dX3n//fX799Vdu3LhR4nqffPIJQ4cOZfDgwbi4uPDZZ59hYGDAqlWrlD6mpqb4+voSGxsLgIWFBd9//z29e/fm/v37TJs2jfDwcCUJLoQQQgghhBBCvIokISyE+NfKyMgAwMzMrMQ+ixYtYuvWrXz99dckJSWxdu1aJfF7+vRpoPB0bFpamvL5yJEjvP3227z77rskJCTw+eefEx0dzYcffqjMW6FCBRYtWsQPP/xATEwMBw4cYPz48VprZ2Vl8fHHH/PFF1/www8/YGVlRUBAAGfOnGHr1q2cOHECjUbDG2+8QW5uLoaGhvTt27fISdyoqCh69uyJWq0u03OJj48nMTGR0NDQEk8kq1SqEsfr6+sDhcn0P+vIkSPUrVu3zDE/4eTkhLm5OStXriQnJ4dHjx6xcuVKnJ2dtRL2KpWK6OhoJc64uDjatm2r3K9QoQJt27blxIkTWvM3btyYI0eOAIV/bj7//HPatm3L+fPnSU5OZs+ePbi4uBQbW3Z2Ng8ePNC6hBBCCCGEEEKIl40khIUQ/0oFBQWMGTMGX19f6tevX2K/1NRUHB0dee2116hZsyavvfYa/fr1A8DS0hL4v9OxTz7PmDGDiRMnMmjQIGrXrk27du2YNWsWn3/+uTLvmDFjaN26Nfb29rz++ut88MEHfP3111pr5+bmsnTpUnx8fHBycuLnn39m69atfPHFFzRv3hwPDw/Wrl3Lzz//rNQxHjJkCHv27CEtLQ2AW7dusXPnTgIDA8v8bK5cuQIUJlefuHXrFkZGRsq1dOnSYsdmZWUxZcoUKlasSMuWLZX27du3a403MjLio48+KjGGGzduULVq1TLH/IRarebgwYN8+eWX6OvrY2RkxO7du9m1axeVKv1fFSQnJydMTEwAuH37Nvn5+VhbW2vNZW1tTXp6ulZb1apVlZPG9+7dY+TIkezbtw8PDw/q1KlDx44dS6xLHRERgYmJiXLVqFHjufcnhBBCCCGEEEL83SQhLIT4VwoODubSpUvKP/8HGD58uFbCEgpfiBYfH4+TkxOjR4/mu+++K3Xu8+fPM3PmTK25hg4dSlpaGllZWQDs27ePNm3aUK1aNdRqNQMHDuTOnTvKfSh8kdnTpRkSExOpVKkSTZo0UdrMzc1xcnIiMTERKDzB6urqSkxMDABffvklNWvWpEWLFsXG6urqqsTYsWPHEvdkbm5OfHw88fHxVKlSpcjp3379+mFkZIRarWbjxo2sXLlSK/bWrVsr459cw4cPL3G9R48eoaenV+L9Z40LCgrC19eXkydPcuzYMerXr0+nTp149OiR0u/y5ct069btuefX19dXvqNbt27RvHlzvv76a6pUqcLMmTP58MMPlYT6H4WHh5ORkaFcN2/efO71hRBCCCGEEEKIv5u8VE4I8a8TEhLC9u3bOXz4MNWrV1faZ86cSWhoqFZfLy8vrl+/zq5du9i3bx+9e/embdu2Rer0Pi0zM5MZM2bQvXv3Ivf09PRISUmhc+fOjBgxgg8//BAzMzOOHj1KUFAQOTk5GBgYAIXJx2eVZijJkCFDWLJkCRMnTiQqKorBgweXOM/OnTvJzc1V1gNwdHQEICkpCU9PTwAqVqyIg4MDgNZJ2yfmz59P27ZtMTExUU5KP83Q0FAZXxYWFhZcvHixzP2fWLduHSkpKZw4cUIpd7Fu3TpMTU3ZsmWL1gvgnl6rYsWK/Prrr1rtv/76KzY2Nlptd+/eVfbn5OSkdYoaCv+8eHl5FRubrq7uM1+kJ4QQQgghhBBCvAzkhLAQ4l9Do9EQEhLCpk2bOHDgALVq1dK6b2VlhYODg3I9YWxsTJ8+fVixYgXr169n48aN3L17F4DKlSuTn5+vNY+XlxdJSUlacz25KlSoQFxcHAUFBcybN4+mTZtSt25dfvnll1Ljd3Z2Ji8vj//9739K2507d0hKStKqWztgwABu3LjBokWLSEhIYNCgQSXOWbNmTSW2atWqAeDp6Um9evWYO3cuBQUFpcYFYGNjg4ODQ7HJ4D/D09OTy5cvo9FonmtcVlYWFSpU0EqAP/lc0l50dHRo2LAh+/fvV9oKCgrYv38/zZo10+p76dIlJUn+tIMHDz5XnEIIIYQQQgghxMtKTggLIf41goODWbduHVu2bEGtViv1YU1MTJTTsX/0ySefYGtri6enJxUqVGDDhg3Y2NhQpUoVAOzt7dm/fz++vr7o6upiamrKtGnT6Ny5M3Z2dvTs2ZMKFSpw/vx5Ll26xAcffICDgwO5ubl8+umn+Pv7c+zYMT777LNS43d0dKRLly4MHTqUzz//HLVazcSJE6lWrRpdunRR+pmamtK9e3fCwsJo37691inoslCpVERFRdGuXTt8fX0JDw/H2dmZ3NxcDh8+zG+//UbFihWfa87s7Owi9XgrVaqEhYVFsf1bt25NZmYmP/zwg1aN59TUVO7evUtqair5+fnEx8cD4ODggJGREe3atSMsLIzg4GBGjRpFQUEBkZGRVKpUidatWyvz1KtXj4iICKVsxHvvvcegQYPw9vamcePGLFiwgIcPHzJ48GCtuI4cOcKsWbOea+9CiFdPSmSn8g5BCCGEEEKIciMnhIUQ/xrLli0jIyODVq1aYWtrq1zr168vcYxarWb27Nl4e3vTqFEjUlJS2Llzp1KOYN68eezdu5caNWooJ0f9/PzYvn073333HY0aNaJp06bMnz+fmjVrAuDh4cEnn3zCxx9/TP369Vm7di0RERFl2kNUVBQNGzakc+fONGvWDI1Gw86dO6lcubJWvyflJ57nZXJPa9q0KXFxcTg5OREcHIyLiws+Pj589dVXzJ8/nxEjRjzXfLt379Z65ra2trz22msl9jc3N6dbt26sXbtWq33atGl4enry/vvvk5mZiaenJ56enpw5cwYoTPRu27aNCxcu0KxZM5o3b84vv/yirP9EUlISGRkZyuc+ffowd+5cpk2bRoMGDYiPj2f37t1aL5o7ceIEGRkZ9OzZ87n2LoQQQgghhBBCvEpUmuf997pCCCHK3Zo1axg7diy//PILOjo65R3On3LhwgXatWtHcnKy8pK/8tSnTx88PDyYNGnSC5nvwYMHmJiYkJGRgbGx8QuZUwghhBBCCCGEKElZfw+VE8JCCPEKycrKIjk5mcjISIYNG/bKJoMB3N3d+fjjj7l+/Xp5h0JOTg5ubm6MHTu2vEMRQgghhBBCCCH+VnJCWAghXiHTp0/nww8/pEWLFmzZsuWlOFkriicnhIUQQgghhBBC/JPkhLAQQrwAAQEBdO3a9S/NcfDgQVQqFffv3//L8UyfPp3c3Fz2799fJBmckpKCSqVSXsT2ssvJycHBwYHjx4+Xdyjk5ORgb2+v1CoWQgghhBBCCCH+rSQhLIR46UVERNCoUSPUajVWVlZ07dqVpKSk8g6rzHx8fEhLS8PExASA6OhoqlSpUq4xXbt2jcDAQOzs7NDV1aVatWq0adOGtWvXkpeXp/RTqVTKZWJigq+vLwcOHNCaKz09nVGjRlG7dm10dXWpUaMG/v7+7N+//5kxfPbZZ9SqVQsfHx+l7cMPP8THxwcDA4NnPqPo6Gjc3d3R09PDysqK4ODgUve8ZMkS7O3t0dPTo0mTJpw6dUq5p6OjQ2hoKBMmTCh2bKtWrUqdXwghhBBCCCGEeBVUKu8AhBCiNIcOHSI4OJhGjRqRl5fHpEmTaN++PQkJCRgaGpZ3eKXS0dHBxsamvMNQnDp1irZt2+Lq6sqSJUuoV68eAGfOnGHJkiXUr18fDw8PpX9UVBQdOnTg9u3bTJ48mc6dO3Pp0iVq165NSkoKvr6+VKlShTlz5uDm5kZubi579uwhODiYy5cvFxuDRqNh8eLFzJw5U6s9JyeHXr160axZM1auXFns2E8++YR58+YxZ84cmjRpwsOHD0lJSXnmntevX897773HZ599RpMmTViwYAF+fn4kJSVhZWUFQP/+/Rk3bhw//PADrq6uXLlyhbNnz9K3b19lnrNnz/LLL7/QuXPnUp+zEEK8jOwn7ijvEP71UiI7lXcIQgghhBDPJCeEhRAvvd27dxMQEICrqyseHh5ER0eTmppKXFxciWOelE+IjY3Fx8cHPT096tevz6FDh5Q++fn5BAUFUatWLfT19XFycmLhwoXPjKVVq1aMGjWKMWPGYGpqirW1NStWrODhw4cMHjwYtVqNg4MDu3btUsY8XTLi4MGDDB48mIyMDOXk7fTp0wG4d+8eb7/9NqamphgYGNCxY0euXr0KwMOHDzE2Nuabb77Rimfz5s0YGhry+++/l+lZajQaAgICqFu3LseOHcPf3x9HR0ccHR3p168fR48exd3dXWtMlSpVsLGxoX79+ixbtoxHjx6xd+9eAEaOHIlKpeLUqVP06NGDunXr4urqynvvvcfJkydLjCMuLo7k5GQ6ddL+pXnGjBmMHTsWNze3Ysfdu3ePKVOmsHr1at566y3q1KmDu7s7b7755jP3/cknnzB06FAGDx6Mi4sLn332GQYGBqxatUrpY2pqiq+vL7GxsQBYWFjw/fff07t3b+7fv8+0adMIDw+ndu3az1xLCCGEEEIIIYR4mUlCWAjxysnIyADAzMys1L5hYWGMGzeOc+fO0axZM/z9/blz5w4ABQUFVK9enQ0bNpCQkMC0adOYNGkSX3/99TPnjImJwcLCglOnTjFq1ChGjBhBr1698PHx4ezZs7Rv356BAweSlZVVZKyPjw8LFizA2NiYtLQ00tLSCA0NBQrrFZ85c4atW7dy4sQJNBoNb7zxBrm5uRgaGtK3b1+ioqK05ouKiqJnz56o1eoyPbv4+HgSExMJDQ2lQoXi/xOgUqlKHK+vrw8UnuS9e/cuu3fvJjg4uNiT2s8q+XDkyBHq1q1b5rif2Lt3LwUFBfz88884OztTvXp1evfuzc2bN4vsITo6Wok1Li6Otm3bKvcrVKhA27ZtOXHihNa4xo0bc+TIEaDwz9fnn39O27ZtOX/+PMnJyezZswcXF5diY8vOzubBgwdalxBCCCGEEEII8bKRhLAQ4pVSUFDAmDFj8PX1pX79+qX2DwkJoUePHjg7O7Ns2TJMTEyUUgSVK1dmxowZeHt7U6tWLfr378/gwYNLTQh7eHgwZcoUHB0dCQ8PR09PDwsLC4YOHYqjoyPTpk3jzp07XLhwochYHR0dTExMUKlU2NjYYGNjg5GREVevXmXr1q188cUXNG/eHA8PD9auXcvPP//M5s2bARgyZAh79uwhLS0NgFu3brFz504CAwPL/PyuXLkCgJOTk9J269YtjIyMlGvp0qXFjs3KymLKlClUrFiRli1bcu3aNTQajVJy4nncuHGDqlWrPve4H3/8kYKCAj766CMWLFjAN998w927d2nXrh05OTlKPycnJ6Vm8+3bt8nPz8fa2lprLmtra9LT07Xaqlatyo0bN4DC08gjR45k3759eHh4UKdOHTp27Fhi/eqIiAhMTEyUq0aNGs+9PyGEEEIIIYQQ4u8mCWEhxCslODiYS5cuKf+sH2D48OFaCc2nNWvWTPm5UqVKeHt7k5iYqLQtWbKEhg0bYmlpiZGREcuXLyc1NfWZMTxdUqFixYqYm5trlTh4kni8detWmfeVmJhIpUqVaNKkidJmbm6Ok5OTEm/jxo1xdXUlJiYGgC+//JKaNWvSokWLYud0dXVVnknHjh1LXNvc3Jz4+Hji4+OpUqWKVmIVoF+/fhgZGaFWq9m4cSMrV67E3d0djUZT5v390aNHj9DT03vucQUFBeTm5rJo0SL8/Pxo2rQpX331FVevXuX7779X+l2+fJlu3bo99/z6+vrKye5bt27RvHlzvv76a6pUqcLMmTP58MMPlaT6H4WHh5ORkaFcfzy1LIQQQgghhBBCvAzkpXJCiFdGSEgI27dv5/Dhw1SvXl1pnzlzplJ24XnExsYSGhrKvHnzaNasGWq1mjlz5vC///3vmeMqV66s9VmlUmm1PSm5UFBQ8NwxlWbIkCEsWbKEiRMnEhUVxeDBg0ss8bBz505yc3OB/yv14OjoCEBSUhKenp5AYVLbwcEBKEya/9H8+fNp27YtJiYmWFpaKu2Ojo6oVKoSXxz3LBYWFly8ePG5x9na2gJolW2wtLTEwsKixES+hYUFFStW5Ndff9Vq//XXX4u87O/u3bvKHp2cnLROUgN4eXnh5eVV7Dq6urro6uo+34aEEEIIIYQQQoh/mJwQFkK89DQaDSEhIWzatIkDBw5Qq1YtrftWVlY4ODgo19OefrFZXl4ecXFxODs7A3Ds2DF8fHwYOXIknp6eODg4kJyc/LfvR0dHh/z8fK02Z2dn8vLytJLRd+7cISkpSSv5OWDAAG7cuMGiRYtISEhg0KBBJa5Ts2ZN5ZlUq1YNAE9PT+rVq8fcuXPLnLC2sbHBwcFBKxkMhTV2/fz8WLJkCQ8fPiwy7v79+yXO6enpyeXLl5/7lLGvry+AVtmGu3fvcvv2bWrWrFnsGB0dHRo2bMj+/fuVtoKCAvbv3691ghzg0qVLSqL8aQcPHnyuOIUQQgghhBBCiJeVnBAWQrz0goODWbduHVu2bEGtVit1X01MTJSTryVZsmQJjo6OODs7M3/+fO7du6fU3HV0dGT16tXs2bOHWrVqsWbNGk6fPl0k4fyi2dvbk5mZyf79+/Hw8MDAwABHR0e6dOnC0KFD+fzzz1Gr1UycOJFq1arRpUsXZaypqSndu3cnLCyM9u3ba52ULguVSkVUVBTt2rXD19eX8PBwnJ2dyc3N5fDhw/z2229UrFixzPMtWbIEX19fGjduzMyZM3F3dycvL4+9e/eybNkyrfIcT2vdujWZmZn88MMPWrWgU1NTuXv3LqmpqeTn5xMfHw+Ag4MDRkZG1K1bly5duvDuu++yfPlyjI2NCQ8Pp169erRu3VqZp169ekRERChlI9577z0GDRqEt7c3jRs3ZsGCBTx8+JDBgwdrxXXkyBFmzZpV5v0LIcSrJiWyU3mHIIQQQgghypmcEBZCvPSWLVtGRkYGrVq1wtbWVrnWr19f6tjIyEgiIyPx8PDg6NGjbN26FQsLCwCGDRtG9+7d6dOnD02aNOHOnTuMHDny794OPj4+DB8+nD59+mBpacns2bMBiIqKomHDhnTu3JlmzZqh0WjYuXNnkRIVQUFB5OTkPNfL5J7WtGlT4uLicHJyIjg4GBcXF3x8fPjqq6+YP38+I0aMKPNctWvX5uzZs7Ru3Zpx48ZRv3592rVrx/79+1m2bFmJ48zNzenWrRtr167Vap82bRqenp68//77ZGZm4unpiaenJ2fOnFH6rF69miZNmtCpUydatmxJ5cqV2b17t9ZzSkpKIiMjQ/ncp08f5s6dy7Rp02jQoAHx8fHs3r1b60VzJ06cICMjg549e5Z5/0IIIYQQQgghxKtGpfkrbwUSQoiXVEpKCrVq1eLcuXM0aNCgvMN5odasWcPYsWP55Zdf0NHRKe9w/rQLFy7Qrl07kpOTi7wMsDz06dMHDw8PJk2a9ELme/DgASYmJmRkZGBsbPxC5hRCCCGEEEIIIUpS1t9D5YSwEEK8IrKyskhOTiYyMpJhw4a90slgAHd3dz7++GOuX79e3qGQk5ODm5sbY8eOLe9QhBBCCCGEEEKIv5UkhIUQ4hUxe/Zs6tWrh42NDeHh4eUdzgsREBCAm5tbeYeBjo4OU6ZMKbUmtRBCCCGEEEII8aqThLAQ4l/J3t4ejUbzj5aLSElJQaVSKS9Ce9Hzdu3aldzcXPbv3/9SlFj4swICAujatetfmuPgwYOoVCru37//QmISQgghhBBCCCH+KyqVdwBCCPEyioiI4Ntvv+Xy5cvo6+vj4+PDxx9/jJOTU3mHJih8MV9aWhomJiYAREdHM2bMmOdOEB88eJDWrVtz7949qlSp8uIDFUKIl4z9xB3lHcKfkhLZqbxDEEIIIYT415ATwkIIUYxDhw4RHBzMyZMn2bt3L7m5ubRv356HDx+Wd2hFaDQa8vLyyjuMf5SOjg42NjaoVKryDkUIIYQQQgghhHilSEJYCCGKsXv3bgICAnB1dcXDw4Po6GhSU1OJi4srdeyPP/5I69atMTAwwMPDgxMnTgDw8OFDjI2N+eabb7T6b968GUNDQ37//XcATp06haenJ3p6enh7e3Pu3Dmt/k/KJezatYuGDRuiq6vL0aNHyc7OZvTo0VhZWaGnp8drr73G6dOnAXj8+DGurq688847yjzJycmo1WpWrVpVptielK6IjY3Fx8cHPT096tevz6FDh5T++fn5BAUFUatWLfT19XFycmLhwoXPfF6tWrVi1KhRjBkzBlNTU6ytrVmxYgUPHz5k8ODBqNVqHBwc2LVrV5FncP/+fQ4ePMjgwYPJyMhApVKhUqmYPn06AGvWrMHb2xu1Wo2NjQ1vvfUWt27dAgpLcbRu3RoAU1NTVCoVAQEBABQUFBAREaHsw8PDo8izEUIIIYQQQgghXkWSEBZCiDLIyMgAwMzMrNS+kydPJjQ0lPj4eOrWrUu/fv3Iy8vD0NCQvn37EhUVpdU/KiqKnj17olaryczMpHPnzri4uBAXF8f06dMJDQ0tdp2JEycSGRlJYmIi7u7ujB8/no0bNxITE8PZs2dxcHDAz8+Pu3fvoqenx9q1a4mJiWHLli3k5+czYMAA2rVrR2BgYJlieyIsLIxx48Zx7tw5mjVrhr+/P3fu3AEKE6nVq1dnw4YNJCQkMG3aNCZNmsTXX3/9zGcWExODhYUFp06dYtSoUYwYMYJevXrh4+PD2bNnad++PQMHDiQrK6vIWB8fHxYsWICxsTFpaWmkpaUpzyw3N5dZs2Zx/vx5Nm/eTEpKipL0rVGjBhs3bgQgKSmJtLQ0JXkdERHB6tWr+eyzz/jhhx8YO3YsAwYM0Ep+/1F2djYPHjzQuoQQQgghhBBCiJeNSqPRaMo7CCGEeJkVFBTw5ptvcv/+fY4ePVpiv5SUFGrVqsUXX3xBUFAQAAkJCbi6upKYmEi9evU4deoUPj4+3Lx5E1tbW27dukW1atXYt28fLVu2ZPny5UyaNImffvoJPT09AD777DNGjBjBuXPnaNCggVL3dvPmzXTp0gUoPH1sampKdHQ0b731FlCYDLW3t2fMmDGEhYUBMGfOHGbPnk3fvn3ZuHEjFy9exNzcHKDU2J7sLzIykgkTJgCQl5dHrVq1GDVqFOPHjy/2uYSEhJCenq6csA0ICOD+/fts3rwZKDwhnJ+fz5EjR4DCU8YmJiZ0796d1atXA5Ceno6trS0nTpygadOmRWr/lrWG8JkzZ2jUqBG///47RkZGxdYQzs7OxszMjH379tGsWTNl7JAhQ8jKymLdunXFzj19+nRmzJhRpD0jIwNjY+NnxiWEEP8UqSEshBBCCPHv9eDBA0xMTEr9PVROCAshRCmCg4O5dOkSsbGxStvw4cMxMjJSrqe5u7srP9va2gIoZQoaN26Mq6srMTExAHz55ZfUrFmTFi1aACinfZ8kgwGtpOTTvL29lZ+Tk5PJzc3F19dXaatcuTKNGzcmMTFRaRs3bhx169Zl8eLFrFq1SkkGlyW24uKpVKkS3t7eWmssWbKEhg0bYmlpiZGREcuXLyc1NbXYPRT3zCpWrIi5uTlubm5Km7W1NfB/z7Gs4uLi8Pf3x87ODrVaTcuWLQGeGc+1a9fIysqiXbt2Wt/x6tWrSU5OLnFceHg4GRkZynXz5s3nilUIIYQQQgghhPgnSEJYCCGeISQkhO3bt/P9999TvXp1pX3mzJnEx8cr19MqV66s/PzkpWcFBQVK25AhQ4iOjgYKSzIMHjz4T70czdDQ8LnH3Lp1iytXrlCxYkWuXr1a5P5fjS02NpbQ0FCCgoL47rvviI+PZ/DgweTk5Dxz3NPPDAqfW2nPsTQPHz7Ez88PY2Nj1q5dy+nTp9m0aRPAM+PJzMwEYMeOHVrfcUJCwjPrCOvq6mJsbKx1CSGEEEIIIYQQL5tK5R2AEEK8jDQaDaNGjWLTpk0cPHiQWrVqad23srLCysrqT809YMAAxo8fz6JFi0hISGDQoEHKPWdnZ9asWcPjx4+VU8InT54sdc46deqgo6PDsWPHqFmzJlBYMuL06dOMGTNG6RcYGIibmxtBQUEMHTqUtm3b4uzsXKbYnjh58qRyajgvL4+4uDhCQkIAOHbsGD4+PowcOVLp/6xTtS+Kjo4O+fn5Wm2XL1/mzp07REZGUqNGDaCwZMQfxwFaY11cXNDV1SU1NVU5USyEEP8WUnpBCCGEEELICWEhhChGcHAwX375JevWrUOtVpOenk56ejqPHj36y3ObmprSvXt3wsLCaN++vdbJ47feeguVSsXQoUNJSEhg586dzJ07t9Q5DQ0NGTFiBGFhYezevZuEhASGDh1KVlaWUs94yZIlnDhxgpiYGPr370/Xrl3p37+/1mnZZ8X2xJIlS9i0aROXL18mODiYe/fuERgYCICjoyNnzpxhz549XLlyhalTp3L69Om/+shKZW9vT2ZmJvv37+f27dtkZWVhZ2eHjo4On376KT/++CNbt25l1qxZWuNq1qyJSqVi+/bt/Pbbb2RmZqJWqwkNDWXs2LHExMSQnJzM2bNn+fTTT5VyGkIIIYQQQgghxKtKEsJCCFGMZcuWkZGRQatWrbC1tVWu9evXv5D5g4KCyMnJURKpTxgZGbFt2zYuXryIp6cnkydP5uOPPy7TnJGRkfTo0YOBAwfi5eXFtWvX2LNnD6amply+fJmwsDCWLl2qnJZdunQpt2/fZurUqWWK7el1IiMj8fDw4OjRo2zduhULCwsAhg0bRvfu3enTpw9NmjThzp07WqeF/y4+Pj4MHz6cPn36YGlpyezZs7G0tCQ6OpoNGzbg4uJCZGRkkeR6tWrVmDFjBhMnTsTa2lo56Txr1iymTp1KREQEzs7OdOjQgR07dhQ5KS6EEEIIIYQQQrxqVBqNRlPeQQghxH/NmjVrGDt2LL/88otStuBlUVJsKSkp1KpVi3PnztGgQYPyC/AVUda3uwohhBBCCCGEEC9CWX8PlRrCQgjxD8rKyiItLY3IyEiGDRv2UiWDX+bYhBBCCCGEEEII8WJIyQghhPgLUlJSUKlUxMfHl6n/7NmzqVevHjY2NoSHh7+weV+EssYmhBBCCCGEEEKIV5ckhIUQ4v+LiIigUaNGqNVqrKys6Nq1K0lJSS90jenTp5Obm8v+/fsxMjJ6oXP/VaXFZm9vj0ajee5yESqVis2bN7+YIP8GL3t8QgghhBBCCCHEiyQlI4QQ4v87dOgQwcHBNGrUiLy8PCZNmkT79u1JSEjA0NCwvMPTotFoyM/Pp1Il+WtcCCFE2dlP3FHeIYiXREpkp/IOQQghhBDlRE4ICyHE/7d7924CAgJwdXXFw8OD6OhoUlNTiYuLK3Xsjz/+SOvWrTEwMMDDw4MTJ04A8PDhQ4yNjfnmm2+0+m/evBlDQ0N+//13AE6dOoWnpyd6enp4e3tz7tw5rf4HDx5EpVKxa9cuGjZsiK6uLkePHiU7O5vRo0djZWWFnp4er732GqdPnwbg8ePHuLq68s477yjzJCcno1arWbVqVZlju3jxIq+//jr6+vqYm5vzzjvvkJmZqTVm1apVuLq6oquri62tLSEhIUDhqWKAbt26oVKplM/Jycl06dIFa2trjIyMaNSoEfv27dOa097eno8++ojAwEDUajV2dnYsX75cq09psZ0+fZp27dphYWGBiYkJLVu25OzZs1prFBcfwJYtW/Dy8kJPT4/atWszY8YM8vLyEEIIIYQQQgghXmWSEBZCiBJkZGQAYGZmVmrfyZMnExoaSnx8PHXr1qVfv37k5eVhaGhI3759iYqK0uofFRVFz549UavVZGZm0rlzZ1xcXIiLi2P69OmEhoYWu87EiROJjIwkMTERd3d3xo8fz8aNG4mJieHs2bM4ODjg5+fH3bt30dPTY+3atcTExLBlyxby8/MZMGAA7dq1IzAwsEyxPXz4ED8/P0xNTTl9+jQbNmxg3759SsIXYNmyZQQHB/POO+9w8eJFtm7dioODA4CSnI6KiiItLU35nJmZyRtvvMH+/fs5d+4cHTp0wN/fn9TUVK1Y5s2bpyTIR44cyYgRI5QyHmWJ7ffff2fQoEEcPXqUkydP4ujoyBtvvKEku0uK78iRI7z99tu8++67JCQk8PnnnxMdHc2HH35Y6p8FIYQQQgghhBDiZabSaDSa8g5CCCFeNgUFBbz55pvcv3+fo0ePltgvJSWFWrVq8cUXXxAUFARAQkICrq6uJCYmUq9ePU6dOoWPjw83b97E1taWW7duUa1aNfbt20fLli1Zvnw5kyZN4qeffkJPTw+Azz77jBEjRnDu3DkaNGjAwYMHad26NZs3b6ZLly5AYULU1NSU6Oho3nrrLQByc3Oxt7dnzJgxhIWFATBnzhxmz55N37592bhxIxcvXsTc3Byg1NhWrFjBhAkTuHnzplI2Y+fOnfj7+/PLL79gbW1NtWrVGDx4MB988EGxz0ilUrFp0ya6du36zGdev359hg8frnW6uHnz5qxZswYoLJNhY2PDjBkzGD58eJliK+57rVKlCuvWraNz584lxte2bVvatGmj9XK9L7/8kvHjx/PLL78UG392djbZ2dnK5wcPHlCjRg0yMjIwNjZ+5t6FEOKfIiUjxBNSMkIIIYT493nw4AEmJial/h4qJ4SFEKIYwcHBXLp0idjYWKVt+PDhGBkZKdfT3N3dlZ9tbW0BuHXrFgCNGzfG1dWVmJgYoDCxWLNmTVq0aAGgnPZ9kgwGaNasWbFxeXt7Kz8nJyeTm5uLr6+v0la5cmUaN25MYmKi0jZu3Djq1q3L4sWLWbVqlZIMLmtsHh4eWjWUfX19KSgoICkpiVu3bvHLL7/Qpk2bkh9mMTIzMwkNDcXZ2ZkqVapgZGREYmJikRPCTz9XlUqFjY2N8lxLiw3g119/ZejQoTg6OmJiYoKxsTGZmZlF1vmj8+fPM3PmTK3ve+jQoaSlpZGVlVXsmIiICExMTJSrRo0az/VMhBBCCCGEEEKIf4IkhIUQ4g9CQkLYvn0733//PdWrV1faZ86cSXx8vHI9rXLlysrPKpUKKDyN+sSQIUOIjo4GCssTDB48WOn3PP7My+1u3brFlStXqFixIlevXi1y/6/Epq+v/9zxAISGhrJp0yY++ugjjhw5Qnx8PG5ubuTk5Gj1e/q5QuGzffq5lmbQoEHEx8ezcOFCjh8/Tnx8PObm5kXW+aPMzExmzJih9X1fvHiRq1evaiXunxYeHk5GRoZy3bx5s8xxCiGEEEIIIYQQ/xRJCAshxP+n0WgICQlh06ZNHDhwgFq1amndt7KywsHBQbmex4ABA7hx4waLFi0iISGBQYMGKfecnZ25cOECjx8/VtpOnjxZ6px16tRBR0eHY8eOKW25ubmcPn0aFxcXpS0wMBA3NzdiYmKYMGGC1unhssR2/vx5Hj58qLQdO3aMChUq4OTkhFqtxt7env3795cYZ+XKlcnPz9dqO3bsGAEBAXTr1g03NzdsbGxISUkpdc9PKy22J59Hjx7NG2+8obz07vbt26XG5+XlRVJSktb3/eSqUKH4/3Tq6upibGysdQkhhBBCCCGEEC+bSuUdgBBCvCyCg4NZt24dW7ZsQa1Wk56eDoCJicmfPgn7hKmpKd27dycsLIz27dtrnTx+6623mDx5MkOHDiU8PJyUlBTmzp1b6pyGhoaMGDGCsLAwzMzMsLOzY/bs2WRlZSn1jJcsWcKJEye4cOECNWrUYMeOHfTv35+TJ0+io6NTamz9+/fn/fffZ9CgQUyfPp3ffvuNUaNGMXDgQKVG7/Tp0xk+fDhWVlZ07NiR33//nWPHjjFq1CgAJWHs6+uLrq4upqamODo68u233+Lv749KpWLq1KnPdfK3rLE5OjqyZs0avL29efDgAWFhYUW+y+LimzZtGp07d8bOzo6ePXtSoUIFzp8/z6VLl0qslSyEEK8CqRsrhBBCCCHkhLAQQvx/y5YtIyMjg1atWmFra6tc69evfyHzBwUFkZOTQ2BgoFa7kZER27Zt4+LFi3h6ejJ58mQ+/vjjMs0ZGRlJjx49GDhwIF5eXly7do09e/ZgamrK5cuXCQsLY+nSpUo926VLl3L79m2mTp1aptgMDAzYs2cPd+/epVGjRvTs2ZM2bdqwePFipc+gQYNYsGABS5cuxdXVlc6dO2uVppg3bx579+6lRo0aeHp6AvDJJ59gamqKj48P/v7++Pn54eXlVfaHWcbYVq5cyb179/Dy8mLgwIGMHj0aKysrrXmKi8/Pz4/t27fz3Xff0ahRI5o2bcr8+fOpWbPmc8UohBBCCCGEEEK8bFQajUZT3kEIIcR/wZo1axg7diy//PKLcjr3ZfEyx/aqKuvbXYUQQgghhBBCiBehrL+HSskIIYT4m2VlZZGWlkZkZCTDhg17qRKuL3NsQgghhBBCCCGEePGkZIQQQvzNZs+eTb169bCxsSE8PLy8w9HyMscmhBBCCCGEEEKIF09KRgghxEsmJSWFWrVqce7cORo0aPDSz/uqxvF3k5IRQgghhBBCCCH+SWX9PVROCAshxN8oIiKCRo0aoVarsbKyomvXriQlJZV3WOIp06dP/1cnpoUQQgghhBBCiKdJDWEhhPgbHTp0iODgYBo1akReXh6TJk2iffv2JCQkYGhoWN7hadFoNOTn51Op0r/jPw05OTlSE1kIIf7AfuKO5+qfEtnpb4pECCGEEEKUFzkhLIQQf6Pdu3cTEBCAq6srHh4eREdHk5qaSlxcXKljf/zxR1q3bo2BgQEeHh6cOHECgIcPH2JsbMw333yj1X/z5s0YGhry+++/A3Dq1Ck8PT3R09PD29ubc+fOafU/ePAgKpWKXbt20bBhQ3R1dTl69CjZ2dmMHj0aKysr9PT0eO211zh9+jQAjx8/xtXVlXfeeUeZJzk5GbVazapVq8oc29Py8/MJCgqiVq1a6Ovr4+TkxMKFC7X6tGrVijFjxmi1de3alYCAAOWzvb09s2bN4u2338bY2FiJccKECdStWxcDAwNq167N1KlTyc3NBSA6OpoZM2Zw/vx5VCoVKpWK6OhoAO7fv8+QIUOwtLTE2NiY119/nfPnz5f4fQkhhBBCCCGEEK8CSQgLIcQ/KCMjAwAzM7NS+06ePJnQ0FDi4+OpW7cu/fr1Iy8vD0NDQ/r27UtUVJRW/6ioKHr27IlarSYzM5POnTvj4uJCXFwc06dPJzQ0tNh1Jk6cSGRkJImJibi7uzN+/Hg2btxITEwMZ8+excHBAT8/P+7evYuenh5r164lJiaGLVu2kJ+fz4ABA2jXrh2BgYFliu2PCgoKqF69Ohs2bCAhIYFp06YxadIkvv7667I+VsXcuXPx8PDg3LlzTJ06FQC1Wk10dDQJCQksXLiQFStWMH/+fAD69OnDuHHjcHV1JS0tjbS0NPr06QNAr169uHXrFrt27SIuLg4vLy/atGnD3bt3nzsuIYQQQgghhBDiZfHv+HfBQgjxCigoKGDMmDH4+vpSv379UvuHhobSqVPhP9WdMWMGrq6uXLt2jXr16jFkyBB8fHxIS0vD1taWW7dusXPnTvbt2wfAunXrKCgoYOXKlejp6eHq6spPP/3EiBEjiqwzc+ZM2rVrBxSePl62bBnR0dF07NgRgBUrVrB3715WrlxJWFgYDRo04IMPPmDIkCH07duXGzdusH37dmW+0mL7o8qVKzNjxgzlc61atThx4gRff/01vXv3LuPTLfT6668zbtw4rbYpU6YoP9vb2xMaGkpsbCzjx49HX18fIyMjKlWqhI2NjdLv6NGjnDp1ilu3bqGrqwsUJps3b97MN998o3VC+ons7Gyys7OVzw8ePHiu2IUQQgghhBBCiH+CnBAWQoh/SHBwMJcuXSI2NlZpGz58OEZGRsr1NHd3d+VnW1tbAG7dugVA48aNcXV1JSYmBoAvv/ySmjVr0qJFCwDltK+enp4yR7NmzYqNy9vbW/k5OTmZ3NxcfH19lbbKlSvTuHFjEhMTlbZx48ZRt25dFi9ezKpVqzA3N1fulRZbcZYsWULDhg2xtLTEyMiI5cuXk5qaWmL/kjy9lyfWr1+Pr68vNjY2GBkZMWXKlFLnPn/+PJmZmZibm2t9P9evXyc5ObnYMREREZiYmChXjRo1njt+IYQQQgghhBDi7yYJYSGE+AeEhISwfft2vv/+e6pXr660z5w5k/j4eOV6WuXKlZWfVSoVUHjK+IkhQ4Yo9W6joqIYPHiw0u95/JmX2926dYsrV65QsWJFrl69WuT+88QWGxtLaGgoQUFBfPfdd8THxzN48GBycnKUPhUqVECj0WiNe1IH+Fl7OXHiBP379+eNN95g+/btnDt3jsmTJ2vNXZzMzExsbW21vpv4+HiSkpIICwsrdkx4eDgZGRnKdfPmzWeuIYQQQgghhBBClAdJCAshxN9Io9EQEhLCpk2bOHDgALVq1dK6b2VlhYODg3I9jwEDBnDjxg0WLVpEQkICgwYNUu45Oztz4cIFHj9+rLSdPHmy1Dnr1KmDjo4Ox44dU9pyc3M5ffo0Li4uSltgYCBubm7ExMQwYcIErdPDpcX2R8eOHcPHx4eRI0fi6emJg4NDkVO4lpaWpKWlKZ/z8/O5dOlSqfs5fvw4NWvWZPLkyXh7e+Po6MiNGze0+ujo6JCfn6/V5uXlRXp6OpUqVdL6fhwcHLCwsCh2LV1dXYyNjbUuIYQQQgghhBDiZSM1hIUQ4m8UHBzMunXr2LJlC2q1mvT0dABMTEzQ19f/S3ObmprSvXt3wsLCaN++vdbJ47feeovJkyczdOhQwsPDSUlJYe7cuaXOaWhoyIgRIwgLC8PMzAw7Oztmz55NVlYWQUFBQGF5hxMnTnDhwgVq1KjBjh076N+/PydPnkRHR6fU2P7I0dGR1atXs2fPHmrVqsWaNWs4ffq0VvL89ddf57333mPHjh3UqVOHTz75hPv375e6H0dHR1JTU4mNjaVRo0bs2LGDTZs2afWxt7fn+vXrxMfHU716ddRqNW3btqVZs2Z07dqV2bNnU7duXX755Rd27NhBt27dii1NIYQQr4KUyE7lHYIQQgghhChnckJYCCH+RsuWLSMjI4NWrVpha2urXOvXr38h8wcFBZGTk0NgYKBWu5GREdu2bePixYt4enoyefJkPv744zLNGRkZSY8ePRg4cCBeXl5cu3aNPXv2YGpqyuXLlwkLC2Pp0qVKjdylS5dy+/Ztpk6dWqbY/mjYsGF0796dPn360KRJE+7cucPIkSO1+gQGBjJo0CDefvttWrZsSe3atWndunWpe3nzzTcZO3YsISEhNGjQgOPHjxeJs0ePHnTo0IHWrVtjaWnJV199hUqlYufOnbRo0YLBgwdTt25d5QV61tbWZXmMQgghhBBCCCHES0ml+WNRRiGEEK+MNWvWMHbsWH755RfldO7L4mWO7Z/w4MEDTExMyMjIkPIRQgghhBBCCCH+dmX9PVRKRgghxCsoKyuLtLQ0IiMjGTZs2EuVcH2ZYxNCCCGEEEIIIf7rpGSEEEK8gmbPnk29evWwsbEhPDy8vMPR8jLHJoQQQgghhBBC/NdJQlgIIf4GKSkpqFQq4uPj/5Z5u3btSm5uLvv378fIyOiFrvFXTZ8+ndzcXKZOnYparS7Ty9+EEEIIIYQQQgjxz5CEsBBClCIiIoJGjRqhVquxsrKia9euJCUllXdY/0oBAQF07dr1H1vv70rcCyGEEEIIIYQQLyupISyEEKU4dOgQwcHBNGrUiLy8PCZNmkT79u1JSEjA0NCwvMPTotFoyM/Pp1Kl//Zf7zk5OVK7WAghimE/ccffvkZKZKe/fQ0hhBBCCPHnyQlhIYQoxe7duwkICMDV1RUPDw+io6NJTU0lLi6u1LE//vgjrVu3xsDAAA8PD06cOAHAw4cPMTY25ptvvtHqv3nzZgwNDfn9998BOHXqFJ6enujp6eHt7c25c+e0+h88eBCVSsWuXbto2LAhurq6HD16lOzsbEaPHo2VlRV6enq89tprnD59GoDHjx/j6urKO++8o8yTnJyMWq1m1apVZY7t+PHjNGjQQIlt8+bNzzxtO336dBo0aKDVtmDBAuzt7ZX7MTExbNmyBZVKhUql4uDBgwBMmDCBunXrYmBgQO3atZk6dSq5ublF5v7iiy+oVasWenp6QOF399prr1GlShXMzc3p3LkzycnJyrhatWoB4OnpiUqlolWrVsq9L774AmdnZ/T09KhXrx5Lly4tdl9CCCGEEEIIIcSrRBLCQgjxnDIyMgAwMzMrte/kyZMJDQ0lPj6eunXr0q9fP/Ly8jA0NKRv375ERUVp9Y+KiqJnz56o1WoyMzPp3LkzLi4uxMXFMX36dEJDQ4tdZ+LEiURGRpKYmIi7uzvjx49n48aNxMTEcPbsWRwcHPDz8+Pu3bvo6emxdu1aJfman5/PgAEDaNeuHYGBgWWK7cGDB/j7++Pm5sbZs2eZNWsWEyZM+JNPtFBoaCi9e/emQ4cOpKWlkZaWho+PDwBqtZro6GgSEhJYuHAhK1asYP78+Vrjr127xsaNG/n222+VpPTDhw957733OHPmDPv376dChQp069aNgoICoDDhDrBv3z7S0tL49ttvAVi7di3Tpk3jww8/JDExkY8++oipU6cSExPzl/YohBBCCCGEEEKUt//2vykWQojnVFBQwJgxY/D19aV+/fql9g8NDaVTp8J/OjtjxgxcXV25du0a9erVY8iQIfj4+JCWloatrS23bt1i586d7Nu3D4B169ZRUFDAypUr0dPTw9XVlZ9++okRI0YUWWfmzJm0a9cOKEyCLlu2jOjoaDp27AjAihUr2Lt3LytXriQsLIwGDRrwwQcfMGTIEPr27cuNGzfYvn27Ml9ZYlOpVKxYsQI9PT1cXFz4+eefGTp06J9+tkZGRujr65OdnY2NjY3WvSlTpig/29vbExoaSmxsLOPHj1fac3JyWL16NZaWlkpbjx49tOZZtWoVlpaWJCQkUL9+faWvubm51prvv/8+8+bNo3v37kDhSeKEhAQ+//xzBg0aVGz82dnZZGdnK58fPHjwvI9ACCGEEEIIIYT428kJYSGEeA7BwcFcunSJ2NhYpW348OEYGRkp19Pc3d2Vn21tbQG4desWAI0bN8bV1VU5dfrll19Ss2ZNWrRoAaCc9n1S/gCgWbNmxcbl7e2t/JycnExubi6+vr5KW+XKlWncuDGJiYlK27hx46hbty6LFy9m1apVmJubK/dKiy0pKalIbI0bNy75wf1F69evx9fXFxsbG4yMjJgyZQqpqalafWrWrKmVDAa4evUq/fr1o3bt2hgbGyvlKf449mkPHz4kOTmZoKAgre/1gw8+0Co38UcRERGYmJgoV40aNf78hoUQQgghhBBCiL+JJISFEKKMQkJC2L59O99//z3Vq1dX2mfOnEl8fLxyPa1y5crKzyqVCkApVwCFJ3Gjo6OBwpIMgwcPVvo9jz/zcrtbt25x5coVKlasyNWrV4vcf1GxPVGhQgU0Go1W29N1gEty4sQJ+vfvzxtvvMH27ds5d+4ckydPJicnR6tfcc/A39+fu3fvsmLFCv73v//xv//9D6DI2KdlZmYChaeqn/5eL126xMmTJ0scFx4eTkZGhnLdvHmz1L0JIYQQQgghhBD/NEkICyFEKTQaDSEhIWzatIkDBw4oLyJ7wsrKCgcHB+V6HgMGDODGjRssWrSIhIQErXIEzs7OXLhwgcePHyttz0pIPlGnTh10dHQ4duyY0pabm8vp06dxcXFR2gIDA3FzcyMmJoYJEyZonR4uLTYnJycuXryoVSLhyUvrSmJpaUl6erpWUviPCXQdHR3y8/O12o4fP07NmjWZPHky3t7eODo6cuPGjVKfw507d0hKSmLKlCm0adMGZ2dn7t27V2Q9QGtNa2trqlatyo8//qj1vTo4OBT57p+mq6uLsbGx1iWEEEIIIYQQQrxspIawEEKUIjg4mHXr1rFlyxbUajXp6ekAmJiYoK+v/5fmNjU1pXv37oSFhdG+fXutk8dvvfUWkydPZujQoYSHh5OSksLcuXNLndPQ0JARI0YQFhaGmZkZdnZ2zJ49m6ysLIKCggBYsmQJJ06c4MKFC9SoUYMdO3bQv39/Tp48qSRJyxLbO++8w8SJE0lNTVViK+kUcatWrfjtt9+YPXs2PXv2ZPfu3ezatUsrcWpvb8+ePXtISkrC3NwcExMTHB0dSU1NJTY2lkaNGrFjxw42bdpUpmdrbm7O8uXLsbW1JTU1lYkTJ2r1sbKyQl9fn927d1O9enX09PQwMTFhxowZjB49GhMTEzp06EB2djZnzpzh3r17vPfee6WuLYQQL6uUyE7lHYIQQgghhChnckJYCCFKsWzZMjIyMmjVqhW2trbKtX79+hcyf1BQEDk5OQQGBmq1GxkZsW3bNi5evIinpyeTJ0/m448/LtOckZGR9OjRg4EDB+Ll5cW1a9fYs2cPpqamXL58mbCwMJYuXarUuV26dCm3b99m6tSpZYrN2NiYbdu2ER8fT4MGDZg8eTLTpk0D0Kor/DRnZ2eWLl3KkiVL8PDw4NSpU4SGhmr1GTp0KE5OTnh7e2NpacmxY8d48803GTt2LCEhITRo0IDjx48XibM4FSpUIDY2lri4OOrXr8/YsWOZM2eOVp9KlSqxaNEiPv/8c6pWrUqXLl2AwnIZX3zxBVFRUbi5udGyZUuio6OfeUJYCCGEEEIIIYR4Fag0fyzoKIQQ4h+1Zs0axo4dyy+//KKczn1ZPE9sa9euZfDgwWRkZPzlk9P/Bg8ePMDExISMjAwpHyGEEEIIIYQQ4m9X1t9DpWSEEEKUk6ysLNLS0oiMjGTYsGEvVTK4LLGtXr2a2rVrU61aNc6fP8+ECRPo3bu3JIOFEEIIIYQQQoiXmJSMEEKIcjJ79mzq1auHjY0N4eHh5R2OlrLElp6ezoABA3B2dmbs2LH06tWL5cuX/8ORCiGEEEIIIYQQ4nlIyQghhHhOKSkp1KpVi3PnztGgQYOXft4X4WWO7WUlJSOEEEIIIYQQQvyTyvp7qJwQFkL8p0VERNCoUSPUajVWVlZ07dqVpKSk8g5L/IMCAgLo2rVreYchhBBCCCGEEEL8I6SGsBDiP+3QoUMEBwfTqFEj8vLymDRpEu3btychIQFDQ8PyDk+LRqMhPz+fSpXkr24hxKvBfuKO8g5B/EFKZKfyDkEIIYQQQpQzOSEshPhP2717NwEBAbi6uuLh4UF0dDSpqanExcWVOvbHH3+kdevWGBgY4OHhwYkTJwB4+PAhxsbGfPPNN1r9N2/ejKGhIb///jsAp06dwtPTEz09Pby9vTl37pxW/4MHD6JSqdi1axcNGzZEV1eXo0ePkp2dzejRo7GyskJPT4/XXnuN06dPA/D48WNcXV155513lHmSk5NRq9WsWrXqhcUGcOnSJTp27IiRkRHW1tYMHDiQ27dvK/cLCgqYPXs2Dg4O6OrqYmdnx4cffqjcnzBhAnXr1sXAwIDatWszdepUcnNzlfvTp0+nQYMGrFmzBnt7e0xMTOjbt68SI/DMZwGQn59PUFAQtWrVQl9fHycnJxYuXKi1RkxMDFu2bEGlUqFSqTh48CAAN2/epHfv3lSpUgUzMzO6dOlCSkpKkecghBBCCCGEEEK8SiQhLIQQT8nIyADAzMys1L6TJ08mNDSU+Ph46tatS79+/cjLy8PQ0JC+ffsSFRWl1T8qKoqePXuiVqvJzMykc+fOuLi4EBcXx/Tp0wkNDS12nYkTJxIZGUliYiLu7u6MHz+ejRs3EhMTw9mzZ3FwcMDPz4+7d++ip6fH2rVrlSRnfn4+AwYMoF27dgQGBr6w2O7fv8/rr7+Op6cnZ86cYffu3fz666/07t1b6RMeHk5kZCRTp04lISGBdevWYW1trdxXq9VER0eTkJDAwoULWbFiBfPnz9daJzk5mc2bN7N9+3a2b9/OoUOHiIyMVO4/61lAYVK6evXqbNiwgYSEBKZNm8akSZP4+uuvAQgNDaV379506NCBtLQ00tLS8PHxITc3Fz8/P9RqNUeOHOHYsWMYGRnRoUMHcnJyiv2esrOzefDggdYlhBBCCCGEEEK8bOSlckII8f8VFBTw5ptvcv/+fY4ePVpivycvWPviiy8ICgoCICEhAVdXVxITE6lXrx6nTp3Cx8eHmzdvYmtry61bt6hWrRr79u2jZcuWLF++nEmTJvHTTz+hp6cHwGeffcaIESOUF7cdPHiQ1q1bs3nzZrp06QIUnj42NTUlOjqat956C4Dc3Fzs7e0ZM2YMYWFhAMyZM4fZs2fTt29fNm7cyMWLFzE3Nwd4IbF98MEHHDlyhD179ijP5aeffqJGjRokJSVha2uLpaUlixcvZsiQIWV6/nPnziU2NpYzZ84Ahad358yZQ3p6Omq1GihMAB8+fJiTJ0+W+Vn8UUhICOnp6cop6YCAAO7fv8/mzZuVPl9++SUffPABiYmJqFQqAHJycqhSpQqbN2+mffv2ReadPn06M2bMKNIuL5UT/2VSMuLlIyUjhBBCCCH+veSlckII8ZyCg4O5dOkSsbGxStvw4cMxMjJSrqe5u7srP9va2gJw69YtABo3boyrqysxMTFAYYKxZs2atGjRAkA57fsk4QrQrFmzYuPy9vZWfk5OTiY3NxdfX1+lrXLlyjRu3JjExESlbdy4cdStW5fFixezatUqJRn8omI7f/4833//vdazqVevnhJjYmIi2dnZtGnTptg9Aaxfvx5fX19sbGwwMjJiypQppKamavWxt7dXksGAksB+nmexZMkSGjZsiKWlJUZGRixfvrzIOn90/vx5rl27hlqtVvZnZmbG48ePSU5OLnZMeHg4GRkZynXz5s1nriGEEEIIIYQQQpQHSQgLIQSFp0a3b9/O999/T/Xq1ZX2mTNnEh8fr1xPq1y5svLzk1OkBQUFStuQIUOIjo4GCksyDB48WOn3PP7My+1u3brFlStXqFixIlevXi1y/6/GlpmZib+/v9aziY+P5+rVq7Ro0QJ9ff1njj9x4gT9+/fnjTfeYPv27Zw7d47JkycXKcfw9DOGwuf89DMuTWxsLKGhoQQFBfHdd98RHx/P4MGDSyz78PT+GjZsWGR/V65cUU4j/5Guri7GxsZalxBCCCGEEEII8bKRhLAQ4j9No9EQEhLCpk2bOHDgALVq1dK6b2VlhYODg3I9jwEDBnDjxg0WLVpEQkICgwYNUu45Oztz4cIFHj9+rLSdPHmy1Dnr1KmDjo4Ox44dU9pyc3M5ffo0Li4uSltgYCBubm7ExMQwYcIErROzLyI2Ly8vfvjhB+zt7bWej4ODA4aGhjg6OqKvr8/+/fuL3cfx48epWbMmkydPxtvbG0dHR27cuFHq/p/3WRw7dgwfHx9GjhyJp6cnDg4ORU746ujokJ+fX2R/V69eLfL9Ozg4YGJi8lxxCiGEEEIIIYQQL5NK5R2AEEKUp+DgYNatW8eWLVtQq9Wkp6cDYGJiUuop19KYmprSvXt3wsLCaN++vdbJ47feeovJkyczdOhQwsPDSUlJYe7cuaXOaWhoyIgRIwgLC8PMzAw7Oztmz55NVlaWUs94yZIlnDhxggsXLlCjRg127NhB//79OXnyJDo6Oi8ktuDgYFasWEG/fv0YP348ZmZmXLt2jdjYWL744gv09PSYMGEC48ePR0dHB19fX3777Td++OEHgoKCcHR0JDU1ldjYWBo1asSOHTvYtGnTcz3fsjwLR0dHVq9ezZ49e6hVqxZr1qzh9OnTWol/e3t79uzZQ1JSEubm5piYmNC/f3/mzJlDly5dmDlzJtWrV+fGjRt8++23jB8/Xut5CSFKJvVqhRBCCCGEePnICWEhxH/asmXLyMjIoFWrVtja2irX+vXrX8j8QUFB5OTkEBgYqNVuZGTEtm3buHjxIp6enkyePJmPP/64THNGRkbSo0cPBg4ciJeXF9euXWPPnj2Ymppy+fJlwsLCWLp0KTVq1ABg6dKl3L59m6lTp76w2KpWrcqxY8fIz8+nffv2uLm5MWbMGKpUqUKFCoX/aZk6dSrjxo1j2rRpODs706dPH6X+75tvvsnYsWMJCQmhQYMGHD9+vEh8f/VZAAwbNozu3bvTp08fmjRpwp07dxg5cqTWHEOHDsXJyQlvb28sLS05duwYBgYGHD58GDs7O7p3746zszNBQUE8fvxYSkEIIYQQQgghhHilqTQajaa8gxBCiH+rNWvWMHbsWH755RfldO7L4mWO7d+grG93FUIIIYQQQgghXoSy/h4qJSOEEOJvkJWVRVpaGpGRkQwbNuylSri+zLEJIYQQQgghhBDi7yUlI4QQ4m8we/Zs6tWrh42NDeHh4eUdjpaXOTYhhBBCCCGEEEL8vaRkhBBCvAJUKhWbNm2ia9euL2xOe3t7xowZw5gxY17YnOL/SMkIIYQQQgghhBD/pLL+HionhIUQohgRERE0atQItVqNlZUVXbt2JSkpqdziSUtLo2PHjuW2/l/RqlWrlzrp/LLHJ4QQQgghhBBCvEhSQ1gIIYpx6NAhgoODadSoEXl5eUyaNIn27duTkJCAoaHhPx6PjY3NP76mEEKIfx/7iTuKbU+J7PQPRyKEEEIIIcqLnBAWQohi7N69m4CAAFxdXfHw8CA6OprU1FTi4uKeOW7ChAnUrVsXAwMDateuzdSpU8nNzVXuT58+nQYNGrBq1Srs7OwwMjJi5MiR5OfnM3v2bGxsbLCysuLDDz/UmlelUrF582YAUlJSUKlUfPvtt7Ru3RoDAwM8PDw4ceKE1piNGzfi6uqKrq4u9vb2zJs3r0i8WVlZBAYGolarsbOzY/ny5Vr3b968Se/evalSpQpmZmZ06dKFlJQU5X5AQABdu3ZlxowZWFpaYmxszPDhw8nJyVHuHzp0iIULF6JSqVCpVKSkpJCfn09QUBC1atVCX18fJycnFi5cqLX2k7nnzp2Lra0t5ubmBAcHaz3Pe/fu8fbbb2NqaoqBgQEdO3bk6tWryv07d+7Qr18/qlWrhoGBAW5ubnz11VdaaxQXH8ClS5fo2LEjRkZGWFtbM3DgQG7fvl3SVy+EEEIIIYQQQrwSJCEshBBlkJGRAYCZmdkz+6nVaqKjo0lISGDhwoWsWLGC+fPna/VJTk5m165d7N69m6+++oqVK1fSqVMnfvrpJw4dOsTHH3/MlClT+N///vfMtSZPnkxoaCjx8fHUrVuXfv36kZeXB0BcXBy9e/emb9++XLx4kenTpzN16lSio6O15pg3bx7e3t6cO3eOkSNHMmLECKU0Rm5uLn5+fqjVao4cOcKxY8cwMjKiQ4cOSsIXYP/+/SQmJnLw4EG++uorvv32W2bMmAHAwoULadasGUOHDiUtLY20tDRq1KhBQUEB1atXZ8OGDSQkJDBt2jQmTZrE119/rRXf999/T3JyMt9//z0xMTFER0dr7SEgIIAzZ86wdetWTpw4gUaj4Y033lCSxo8fP6Zhw4bs2LGDS5cu8c477zBw4EBOnTr1zPju37/P66+/jqenJ2fOnGH37t38+uuv9O7du8TvIzs7mwcPHmhdQgghhBBCCCHES0cjhBDimfLz8zWdOnXS+Pr6PvfYOXPmaBo2bKh8fv/99zUGBgaaBw8eKG1+fn4ae3t7TX5+vtLm5OSkiYiIUD4Dmk2bNmk0Go3m+vXrGkDzxRdfKPd/+OEHDaBJTEzUaDQazVtvvaVp166dVixhYWEaFxcX5XPNmjU1AwYMUD4XFBRorKysNMuWLdNoNBrNmjVrNE5OTpqCggKlT3Z2tkZfX1+zZ88ejUaj0QwaNEhjZmamefjwodJn2bJlGiMjI2U/LVu21Lz77rulPqvg4GBNjx49lM+DBg3S1KxZU5OXl6e09erVS9OnTx+NRqPRXLlyRQNojh07pty/ffu2Rl9fX/P111+XuE6nTp0048aNUz4XF9+sWbM07du312q7efOmBtAkJSUVO+/777+vAYpcGRkZpe5dCCH+KTUnbC/2EkIIIYQQr76MjIwy/R4qJ4SFEKIUwcHBXLp0idjYWKVt+PDhGBkZKdcT69evx9fXFxsbG4yMjJgyZQqpqala89nb26NWq5XP1tbWuLi4UKFCBa22W7duPTMud3d35WdbW1sAZUxiYiK+vr5a/X19fbl69Sr5+fnFzqFSqbCxsVHmOH/+PNeuXUOtViv7NDMz4/HjxyQnJyvjPDw8MDAwUD43a9aMzMxMbt68+cz4lyxZQsOGDbG0tMTIyIjly5cXeVaurq5UrFhRa59P77FSpUo0adJEuW9ubo6TkxOJiYkA5OfnM2vWLNzc3DAzM8PIyIg9e/YUWeePzp8/z/fff6/1HderVw9Aa+9PCw8PJyMjQ7lK278QQgghhBBCCFEe5KVyQgjxDCEhIWzfvp3Dhw9TvXp1pX3mzJmEhoZq9T1x4gT9+/dnxowZ+Pn5YWJiQmxsbJHavZUrV9b6rFKpim0rKCh4ZmxPj1GpVACljnnWHH9cNzMzk4YNG7J27doi4ywtLZ9rnT+KjY0lNDSUefPm0axZM9RqNXPmzClSJuPPPJenzZkzh4ULF7JgwQLc3NwwNDRkzJgxWiUvipOZmYm/vz8ff/xxkXtPku9/pKuri66ubpljE0IIIYQQQgghyoMkhIUQohgajYZRo0axadMmDh48SK1atbTuW1lZYWVlpdV2/PhxatasyeTJk5W2Gzdu/CPx/pGzszPHjh3Tajt27Bh169bVOnH7LF5eXqxfvx4rKyuMjY1L7Hf+/HkePXqEvr4+ACdPnsTIyIgaNWoAoKOjo3Uq+UksPj4+jBw5Umkr6eRtSZydncnLy+N///sfPj4+QOFL5JKSknBxcVHW6dKlCwMGDAAKE+ZXrlxR7pcUn5eXFxs3bsTe3p5KleQ/lUIIIYQQQggh/j2kZIQQQhQjODiYL7/8knXr1qFWq0lPTyc9PZ1Hjx6VOMbR0ZHU1FRiY2NJTk5m0aJFbNq06R+M+v+MGzeO/fv3M2vWLK5cuUJMTAyLFy8ucqr5Wfr374+FhQVdunThyJEjXL9+nYMHDzJ69Gh++uknpV9OTg5BQUEkJCSwc+dO3n//fUJCQpQSGPb29vzvf/8jJSWF27dvU1BQgKOjI2fOnGHPnj1cuXKFqVOncvr06efao6OjI126dGHo0KEcPXqU8+fPM2DAAKpVq0aXLl2UPnv37uX48eMkJiYybNgwfv31V615iosvODiYu3fv0q9fP06fPk1ycjJ79uxh8ODBRZLHQgjxKkmJ7FTsJYQQQggh/jskISyEEMVYtmwZGRkZtGrVCltbW+Vav359iWPefPNNxo4dS0hICA0aNOD48eNMnTr1H4z6/3h5efH1118TGxtL/fr1mTZtGjNnziQgIKDMcxgYGHD48GHs7Ozo3r07zs7OBAUF8fjxY60Tw23atMHR0ZEWLVrQp08f3nzzTaZPn67cDw0NpWLFiri4uGBpaUlqairDhg2je/fu9OnThyZNmnDnzh2t08JlFRUVRcOGDencuTPNmjVDo9Gwc+dOpdTElClT8PLyws/Pj1atWmFjY0PXrl215iguvqpVq3Ls2DHy8/Np3749bm5ujBkzhipVqmjVehZCCCGEEEIIIV41Ko1GoynvIIQQQryaAgICuH//Pps3by7vUF46Dx48wMTEhIyMjGeW3BBCCCGEEEIIIV6Esv4eKsechBBCCCGEEEIIIYQQ4j9CEsJCCCGEEEIIIYQQQgjxHyEJYSGE+JdRqVT/WAmH6Ojov7RWixYtWLdu3YsL6C9o2rQpGzduLO8whBBCCCGEEEKIv5UkhIUQ/xqHDx/G39+fqlWrvrCkqL29PQsWLPjL87yM0tPTeffdd3FwcEBPTw9ra2t8fX1ZtmwZWVlZSj97e3tUKhUqlQpDQ0O8vLzYsGGDcj8rK4vw8HDq1KmDnp4elpaWtGzZki1btjxz/a1bt/Lrr7/St29fpW358uW0atUKY2NjVCoV9+/fLzLuypUrdOnSBQsLC4yNjXnttdf4/vvvS93vhg0bqFevHnp6eri5ubFz506t+1OmTGHixIkUFBQUGRsQEEBKSkqpawghhBBCCCGEEC+7SuUdgBBCvCgPHz7Ew8ODwMBAunfvXt7hPBeNRkN+fj6VKv0zfy3/+OOP+Pr6UqVKFT766CPc3NzQ1dXl4sWLLF++nGrVqvHmm28q/WfOnMnQoUN58OAB8+bNo0+fPlSrVg0fHx+GDx/O//73Pz799FNcXFy4c+cOx48f586dO8+MYdGiRQwePJgKFf7v/01mZWXRoUMHOnToQHh4eLHjOnfujKOjIwcOHEBfX58FCxbQuXNnkpOTsbGxKXbM8ePH6devHxEREXTu3Jl169bRtWtXzp49S/369QHo2LEjQ4YMYdeuXXTq1Im7d+/y1VdfMXLkSGWe5ORkTp48Sf/+/cv8rAXYT9xR3iEIIf6/lMhO5R2CEEIIIYQoZ3JCWAjxr9GxY0c++OADunXrVuYxGo2G6dOnY2dnh66uLlWrVmX06NEAtGrVihs3bjB27FjlhOwTR48epXnz5ujr61OjRg1Gjx7Nw4cPlftr1qzB29sbtVqNjY0Nb731Frdu3VLuHzx4EJVKxa5du2jYsCG6urocPXqU7OxsRo8ejZWVFXp6erz22mucPn1aidXBwYG5c+dq7SE+Ph6VSsW1a9fKvO+RI0dSqVIlzpw5Q+/evXF2dqZ27dp06dKFHTt24O/vr9X/yT7q1q3LkiVL0NfXZ9u2bUDhSd9JkybxxhtvYG9vT8OGDRk1ahSBgYElrv/bb79x4MCBIuuMGTOGiRMn0rRp02LH3b59m6tXrzJx4kTc3d1xdHQkMjKSrKwsLl26VOJ6CxcupEOHDoSFheHs7MysWbPw8vJi8eLFSp+KFSvyxhtvEBsbC4Cenh4///wzHTp04KeffuKzzz4jICCAWrVqPfvhCiGEEEIIIYQQLzFJCAsh/tM2btzI/Pnz+fzzz7l69SqbN2/Gzc0NgG+//Zbq1aszc+ZM0tLSSEtLAwpPiXbo0IEePXpw4cIF1q9fz9GjRwkJCVHmzc3NZdasWZw/f57NmzeTkpJCQEBAkfUnTpxIZGQkiYmJuLu7M378eDZu3EhMTAxnz57FwcEBPz8/7t69i0qlIjAwkKioKK05oqKiaNGiBQ4ODmXa8507d/juu+8IDg7G0NCw2D5PJ7//qFKlSlSuXJmcnBwAbGxs2LlzJ7///nuZ1ofChLqBgQHOzs5lHgNgbm6Ok5MTq1ev5uHDh+Tl5fH5559jZWVFw4YNlX729vZMnz5d+XzixAnatm2rNZefnx8nTpzQamvcuDFHjhwBwMDAgI8++oh3332XgwcPcvLkSQ4cOICPj0+xsWVnZ/PgwQOtSwghhBBCCCGEeNlIQlgI8Z+WmpqKjY0Nbdu2xc7OjsaNGzN06FAAzMzMqFixonI69kk5goiICPr378+YMWNwdHTEx8eHRYsWsXr1ah4/fgxAYGAgHTt2pHbt2jRt2pRFixaxa9cuMjMztdafOXMm7dq1o06dOujq6rJs2TLmzJlDx44dcXFxYcWKFejr67Ny5UqgsJZtUlISp06dAgoTz+vWrXvmadw/unbtGhqNBicnJ612CwsLjIyMMDIyYsKECcWOzcnJISIigoyMDF5//XWgsO7v8ePHMTc3p1GjRowdO5Zjx449M4YbN25gbW2tVS6iLFQqFfv27ePcuXOo1Wr09PT45JNP2L17N6ampkq/OnXqYGFhoXxOT0/H2tpaay5ra2vS09O12qpWrcrNmzcpKCjg8ePHTJs2jYULF9KqVSuaNm1K27ZtlWf/RxEREZiYmChXjRo1nmtvQgghhBBCCCHEP0ESwkKI/4yPPvpISXgaGRmRmppKr169ePToEbVr12bo0KFs2rSJvLy8Z85z/vx5oqOjteby8/OjoKCA69evAxAXF4e/vz92dnao1WpatmwJFCagn+bt7a38nJycTG5uLr6+vkpb5cqVady4MYmJiUBhwrJTp06sWrUKgG3btpGdnU2vXr2KjbVjx45KjK6urs/c16lTp4iPj8fV1ZXs7GytexMmTMDIyAgDAwM+/vhjIiMj6dSpsA5lixYt+PHHH9m/fz89e/bkhx9+oHnz5syaNavEtR49eoSent4z4ymORqMhODgYKysrjhw5wqlTp+jatSv+/v7KCW6A/fv3a53YLit9fX0KCgrIzs4mKysLa2trdu/eTfXq1Rk+fDirVq3iypUrxY4NDw8nIyNDuW7evPnc6wshhBBCCCGEEH83eamcEOI/Y/jw4fTu3Vv5XLVqVSpVqkRSUhL79u1j7969jBw5kjlz5nDo0CEqV65c7DyZmZkMGzZMqTX8NDs7Ox4+fIifnx9+fn6sXbsWS0tLUlNT8fPzU8osPFFSyYZnGTJkCAMHDmT+/PlERUXRp08fDAwMiu37xRdf8OjRIwBlPw4ODqhUKpKSkrT61q5dGyhMiv5RWFgYAQEBGBkZYW1tXaSkROXKlWnevDnNmzdnwoQJfPDBB8ycOZMJEyago6NTZD4LCwvu3bv33Hs/cOAA27dv5969exgbGwOwdOlS9u7dS0xMDBMnTix2nI2NDb/++qtW26+//lrkJXR3797F0NAQfX199PX1CQ4O1rpfp04d6tSpU+waurq66OrqPveehBBCCCGEEEKIf5IkhIUQ/xlmZmaYmZkVadfX18ff3x9/f3+Cg4OpV68eFy9exMvLCx0dHfLz87X6e3l5kZCQUGLN3osXL3Lnzh0iIyOVsgFnzpwpNb46deqgo6PDsWPHqFmzJlBYEuL06dOMGTNG6ffGG29gaGjIsmXL2L17N4cPHy5xzmrVqhVpMzc3p127dixevJhRo0aVKSltYWFR5hrFAC4uLuTl5fH48eNiE8Kenp6kp6dz7949rVIPpcnKygIoUmqiQoUKFBQUlDiuWbNm7N+/X+s57t27l2bNmmn1u3TpEp6enkXGR0dHlzlGIYQQQgghhBDiZSYJYSHEv0ZmZibXrl1TPl+/fp34+HjMzMyws7Mrdkx0dDT5+fk0adIEAwMDvvzyS/T19ZWErL29PYcPH6Zv377o6upiYWHBhAkTaNq0KSEhIQwZMgRDQ0MSEhLYu3cvixcvxs7ODh0dHT799FOGDx/OpUuXnlk+4QlDQ0NGjBhBWFiYEvPs2bPJysoiKChI6VexYkUCAgIIDw/H0dGxSFKzLJYuXYqvry/e3t5Mnz4dd3d3KlSowOnTp7l8+bLWC9pK06pVK/r164e3tzfm5uYkJCQwadIkWrdurZzi/SNPT08sLCw4duwYnTt3VtrT09NJT09XvseLFy+iVquxs7PDzMyMZs2aYWpqyqBBg5g2bRr6+vqsWLGC69evKyUsANq0aUO3bt2UshHvvvsuLVu2ZN68eXTq1InY2FjOnDnD8uXLteI6cuQI7du3L/PeRdmkRHYqvZMQQgghhBBCiH+E1BAWQvxrnDlzBk9PT+WE53vvvYenpyfTpk0rcUyVKlVYsWIFvr6+uLu7s2/fPrZt24a5uTlQ+NK3lJQU6tSpg6WlJQDu7u4cOnSIK1eu0Lx5c2WNqlWrAmBpaUl0dDQbNmzAxcWFyMhI5s6dW6Y9REZG0qNHDwYOHIiXlxfXrl1jz549RU7RBgUFkZOTw+DBg5/7OUHhaeRz587Rtm1bwsPD8fDwwNvbm08//ZTQ0NAyJbCf8PPzIyYmhvbt2+Ps7MyoUaPw8/Pj66+/LnFMxYoVGTx4MGvXrtVq/+yzz/D09FRe7NeiRQs8PT3ZunUrUHhSeffu3WRmZvL666/j7e3N0aNH2bJlCx4eHso8ycnJ3L59W/ns4+PDunXrWL58OR4eHnzzzTds3ryZ+vXrK31+/vlnjh8//qefqRBCCCGEEEII8SpQaTQaTXkHIYQQ4vkcOXKENm3acPPmTaytrcs7nD8lPT0dV1dXzp49q5zILk8TJkzg3r17RU4N/1kPHjzAxMSEjIyMEk9KCyGEEEIIIYQQL0pZfw+VE8JCCPEKyc7O5qeffmL69On06tXrlU0GQ+GL3lauXElqamp5hwKAlZXVc52MFkIIIYQQQgghXkVyQlgIIV4h0dHRBAUF0aBBA7Zu3VrsS+PEy0FOCAshhBBCCCGE+CfJCWEhhPgXCggIID8/n7i4uBeSDFapVGzevPmvB/aCTZ06lXfeeae8wwBg4sSJjBo1qrzDEEIIIYQQQgghXghJCAsh/pMOHz6Mv78/VatWfWFJUXt7exYsWPCX53kZpaen8+677+Lg4ICenh7W1tb4+vqybNkysrKylH729vaoVCpUKhWGhoZ4eXmxYcMG5f706dNp0KBBqWstXLiQyZMnK21l+b4yMzMJCQmhevXq6Ovr4+LiwmeffVbq3i5cuEDz5s3R09OjRo0azJ49W+t+aGgoMTEx/Pjjj6XOJYQQQgghhBBCvOwqlXcAQghRHh4+fIiHhweBgYF07969vMN5LhqNhvz8fCpV+mf+Cv/xxx/x9fWlSpUqfPTRR7i5uaGrq8vFixdZvnw51apV480331T6z5w5k6FDh/LgwQPmzZtHnz59qFatGj4+PmVa74svvsDHx0frRXNl+b7ee+89Dhw4wJdffom9vT3fffcdI0eOpGrVqlrxPe3Bgwe0b9+etm3b8tlnn3Hx4kUCAwOpUqWKckLZwsICPz8/li1bxpw5c8r62IT4R9lP3FHeIYhXREpkp/IOQQghhBBClDM5ISyE+E/q2LEjH3zwAd26dSvzGI1Gw/Tp07Gzs0NXV5eqVasyevRoAFq1asWNGzcYO3asckL2iaNHj9K8eXP09fWpUaMGo0eP5uHDh8r9NWvW4O3tjVqtxsbGhrfeeotbt24p9w8ePIhKpWLXrl00bNgQXV1djh49SnZ2NqNHj8bKygo9PT1ee+01Tp8+rcTq4ODA3LlztfYQHx+PSqXi2rVrZd73yJEjqVSpEmfOnKF37944OztTu3ZtunTpwo4dO/D399fq/2QfdevWZcmSJejr67Nt27YyrxcbG1tkzrJ8X8ePH2fQoEG0atUKe3t73nnnHTw8PDh16lSJY9auXUtOTg6rVq3C1dWVvn37Mnr0aD755BOtfv7+/sTGxpZ5D0IIIYQQQgghxMtKEsJCCFFGGzduZP78+Xz++edcvXqVzZs34+bmBsC3335L9erVmTlzJmlpaaSlpQGQnJxMhw4d6NGjBxcuXGD9+vUcPXqUkJAQZd7c3FxmzZrF+fPn2bx5MykpKQQEBBRZf+LEiURGRpKYmIi7uzvjx49n48aNxMTEcPbsWRwcHPDz8+Pu3buoVCoCAwOJiorSmiMqKooWLVrg4OBQpj3fuXOH7777juDgYAwNDYvt83Ty+48qVapE5cqVycnJKdN6d+/eJSEhAW9v7zL1f5qPjw9bt27l559/RqPR8P3333PlyhXat2+v9AkICKBVq1bK5xMnTtCiRQt0dHSUNj8/P5KSkrh3757S1rhxY3766SdSUlJKXD87O5sHDx5oXUIIIYQQQgghxMtGEsJCCFFGqamp2NjY0LZtW+zs7GjcuDFDhw4FwMzMjIoVKyqnY21sbACIiIigf//+jBkzBkdHR3x8fFi0aBGrV6/m8ePHAAQGBtKxY0dq165N06ZNWbRoEbt27SIzM1Nr/ZkzZ9KuXTvq1KmDrq6uUsKgY8eOuLi4sGLFCvT19Vm5ciVQmPxMSkpSTsjm5uaybt06AgMDy7zna9euodFocHJy0mq3sLDAyMgIIyMjJkyYUOzYnJwcIiIiyMjI4PXXXy/TeqmpqWg0GqpWrVrmGJ/49NNPcXFxoXr16ujo6NChQweWLFlCixYtlD62trbY2dkpn9PT07G2ttaa58nn9PR0pe1JPDdu3Chx/YiICExMTJSrRo0az70HIYQQQgghhBDi7yYJYSGEKMZHH32kJDyNjIxITU2lV69ePHr0iNq1azN06FA2bdpEXl7eM+c5f/480dHRWnP5+flRUFDA9evXAYiLi8Pf3x87OzvUajUtW7YECpOjT3v61GxycjK5ubn4+voqbZUrV6Zx48YkJiYChUnMTp06sWrVKgC2bdtGdnY2vXr1KjbWjh07KjG6uro+c1+nTp0iPj4eV1dXsrOzte5NmDABIyMjDAwM+Pjjj4mMjKRTp7LVrHz06BEAenp6Zer/tE8//ZSTJ0+ydetW4uLimDdvHsHBwezbt0/pExERwerVq597bn19fQCtF+j9UXh4OBkZGcp18+bN515HCCGEEEIIIYT4u8lL5YQQohjDhw+nd+/eyueqVatSqVIlkpKS2LdvH3v37mXkyJHMmTOHQ4cOUbly5WLnyczMZNiwYUqt4afZ2dnx8OFD/Pz88PPzY+3atVhaWpKamoqfn1+RMgsllWx4liFDhjBw4EDmz59PVFQUffr0wcDAoNi+X3zxhZKQfbIfBwcHVCoVSUlJWn1r164N/F+i9GlhYWEEBARgZGSEtbX1M0tK/JGFhQUA9+7dw9LSsszjHj16xKRJk9i0aZOSfHZ3dyc+Pp65c+fStm3bYsfZ2Njw66+/arU9+fzklDcUlrIAnhmTrq4uurq6ZY5ZCCGEEEIIIYQoD5IQFkKIYpiZmWFmZlakXV9fH39/f/z9/QkODqZevXpcvHgRLy8vdHR0yM/P1+rv5eVFQkJCiTV7L168yJ07d4iMjFRKDJw5c6bU+OrUqYOOjg7Hjh2jZs2aQGFJiNOnTzNmzBil3xtvvIGhoSHLli1j9+7dHD58uMQ5q1WrVqTN3Nycdu3asXjxYkaNGlWmpLSFhUWZaxT/UZ06dTA2NiYhIYG6deuWeVxubi65ublUqKD9D18qVqxIQUFBieOaNWvG5MmTyc3NVZLge/fuxcnJCVNTU6XfpUuXqFy5cqknp4UoLymRZTuFL4QQQgghhBBSMkII8Z+UmZlJfHw88fHxAFy/fp34+PgiZRqeFh0dzcqVK7l06RI//vgjX375Jfr6+kpC1t7ensOHD/Pzzz9z+/ZtoLB8wvHjxwkJCSE+Pp6rV6+yZcsW5aVydnZ26Ojo8Omnn/Ljjz+ydetWZs2aVWr8hoaGjBgxgrCwMHbv3k1CQgJDhw4lKyuLoKAgpV/FihUJCAggPDwcR0dHmjVr9tzPaunSpeTl5eHt7c369etJTEwkKSmJL7/8ksuXL1OxYsXnnrMkFSpUoG3bthw9elSrvbTvy9jYmJYtWxIWFsbBgwe5fv060dHRrF69mm7duinzhIeH8/bbbyuf33rrLXR0dAgKCuKHH35g/fr1LFy4kPfee09r/SNHjtC8efNiT0QLIYQQQgghhBCvEkkICyH+k86cOYOnpyeenp4AvPfee3h6ejJt2rQSx1SpUoUVK1bg6+uLu7s7+/btY9u2bZibmwOFL31LSUmhTp06SmkBd3d3Dh06xJUrV2jevLmyxpOXlFlaWhIdHc2GDRtwcXEhMjKSuXPnlmkPkZGR9OjRg4EDB+Ll5cW1a9fYs2eP1slWgKCgIHJychg8ePBzPycoPLV77tw52rZtS3h4OB4eHnh7e/Ppp58SGhpapgT28xgyZAixsbFaJ3vL8n3FxsbSqFEj+vfvrzzLDz/8kOHDhyt90tLStJL+JiYmfPfdd1y/fp2GDRsybtw4pk2bxjvvvKMVU2xsrPICQSGEEEIIIYQQ4lWm0mg0mvIOQgghxN/nyJEjtGnThps3b2JtbV3e4ZRKo9HQpEkTxo4dS79+/co7HHbt2sW4ceO4cOEClSqVvdLSgwcPMDExISMjA2Nj478xQiGEEEIIIYQQouy/h8oJYSGE+JfKzs7mp59+Yvr06fTq1euVSAYDqFQqli9fTl5eXnmHAsDDhw+Jiop6rmSwEEIIIYQQQgjxspKEsBBC/Et99dVX1KxZk/v37zN79mygMNm6efPm8g2sDBo0aMCKFStYt25deYdCz549effdd9m4cWN5hyKEEEIIIYQQQvxlkhAWQvwnHD58GH9/f6pWrfrCkqL29vYsWLDgL8/zdwkICCA/P5+4uDiqVav2XGPT09N59913cXBwQE9PD2tra3x9fVm2bBlZWVlKP3t7e1QqFSqVCkNDQ7y8vNiwYYNyf/r06cr9p6969eo9c/2tW7fy66+/0rdvX6Vt+fLltGrVCmNjY1QqFffv3y8y7sqVK3Tp0gULCwuMjY157bXX+P7770vd74YNG6hXrx56enq4ubmxc+dOrftTpkxh4sSJWnWNhRBCCCGEEEKIV5H8+1chxH/Cw4cP8fDwIDAwkO7du5d3OM9Fo9GQn5//j5Us+PHHH/H19aVKlSp89NFHuLm5oaury8WLF1m+fDnVqlXjzTffVPrPnDmToUOH8uDBA+bNm0efPn2oVq0aPj4+ALi6urJv3z6tNUrby6JFixg8eDAVKvzf/7fMysqiQ4cOdOjQgfDw8GLHde7cGUdHRw4cOIC+vj4LFiygc+fOJCcnY2NjU+yY48eP069fPyIiIujcuTPr1q2ja9eunD17lvr16wPQsWNHhgwZwq5du+jUqVPpD1EI8afYT9xR3iH866VEyt9hQgghhBD/dXJCWAjxn9CxY0c++OADunXrVuYxGo2G6dOnY2dnh66uLlWrVmX06NEAtGrVihs3bjB27Fjl1OsTR48epXnz5ujr61OjRg1Gjx7Nw4cPlftr1qzB29sbtVqNjY0Nb731Frdu3VLuHzx4EJVKxa5du2jYsCG6urocPXqU7OxsRo8ejZWVFXp6erz22mucPn1aidXBwYG5c+dq7SE+Ph6VSsW1a9fKvO+RI0dSqVIlzpw5Q+/evXF2dqZ27dp06dKFHTt24O/vr9X/yT7q1q3LkiVL0NfXZ9u2bcr9SpUqYWNjo3VZWFiUuP5vv/3GgQMHiqwzZswYJk6cSNOmTYsdd/v2ba5evcrEiRNxd3fH0dGRyMhIsrKyuHTpUonrLVy4kA4dOhAWFoazszOzZs3Cy8uLxYsXK30qVqzIG2+8QWxs7DOfnRBCCCGEEEII8bKThLAQQpRg48aNzJ8/n88//5yrV6+yefNm3NzcAPj222+pXr06M2fOJC0tjbS0NACSk5Pp0KEDPXr04MKFC6xfv56jR48SEhKizJubm8usWbM4f/48mzdvJiUlhYCAgCLrT5w4kcjISBITE3F3d2f8+PFs3LiRmJgYzp49i4ODA35+fty9exeVSkVgYCBRUVFac0RFRdGiRQscHBzKtOc7d+7w3XffERwcjKGhYbF9nk5+/1GlSpWoXLkyOTk5ZVqvOEePHsXAwABnZ+fnGmdubo6TkxOrV6/m4cOH5OXl8fnnn2NlZUXDhg2Vfvb29kyfPl35fOLECdq2bas1l5+fHydOnNBqa9y4MUeOHHn+DQkhhBBCCCGEEC8RSQgLIUQJUlNTsbGxoW3bttjZ2dG4cWOGDh0KgJmZGRUrVlROxz4pRxAREUH//v0ZM2YMjo6O+Pj4sGjRIlavXs3jx48BCAwMpGPHjtSuXZumTZuyaNEidu3aRWZmptb6M2fOpF27dtSpUwddXV2WLVvGnDlz6NixIy4uLqxYsQJ9fX1WrlwJFNYMTkpK4tSpU0Bh4nndunUEBgaWec/Xrl1Do9Hg5OSk1W5hYYGRkRFGRkZMmDCh2LE5OTlERESQkZHB66+/rrRfvHhRGfvkGj58eIkx3LhxA2tra61yEWWhUqnYt28f586dQ61Wo6enxyeffMLu3bsxNTVV+tWpU0frhHJ6ejrW1tZac1lbW5Oenq7VVrVqVW7evFliHeHs7GwePHigdQkhhBBCCCGEEC8bSQgLIQTw0UcfaSUsU1NT6dWrF48ePaJ27doMHTqUTZs2kZeX98x5zp8/T3R0tNZcfn5+FBQUcP36dQDi4uLw9/fHzs4OtVpNy5YtgcIE9NO8vb2Vn5OTk8nNzcXX11dpq1y5Mo0bNyYxMREoTFh26tSJVatWAbBt2zays7Pp1atXsbF27NhRidHV1fWZ+zp16hTx8fG4urqSnZ2tdW/ChAkYGRlhYGDAxx9/TGRkpFadXScnJ+Lj47WumTNnlrjWo0eP0NPTe2Y8xdFoNAQHB2NlZcWRI0c4deoUXbt2xd/fXznBDbB//36tE9tlpa+vT0FBQZH9PxEREYGJiYly1ahR47nXEEIIIYQQQggh/m7yUjkhhACGDx9O7969lc9Vq1alUqVKJCUlsW/fPvbu3cvIkSOZM2cOhw4donLlysXOk5mZybBhw5Raw0+zs7Pj4cOH+Pn54efnx9q1a7G0tCQ1NRU/P78iZRZKKtnwLEOGDGHgwIHMnz+fqKgo+vTpg4GBQbF9v/jiCx49egSg7MfBwQGVSkVSUpJW39q1awOFSdE/CgsLIyAgACMjI6ytrYuUlNDR0SlzyQooPI187969Mvd/4sCBA2zfvp179+5hbGwMwNKlS9m7dy8xMTFMnDix2HE2Njb8+uuvWm2//vprkZfQ3b17F0NDw2KfAUB4eDjvvfee8vnBgweSFBZCCCGEEEII8dKRhLAQQlBYAsLMzKxIu76+Pv7+/vj7+xMcHEy9evW4ePEiXl5e6OjokJ+fr9Xfy8uLhISEEhOgFy9e5M6dO0RGRirJwjNnzpQaX506ddDR0eHYsWPUrFkTKCwJcfr0acaMGaP0e+ONNzA0NGTZsmXs3r2bw4cPlzhntWrVirSZm5vTrl07Fi9ezKhRo8qUlLawsHiuhG9pPD09SU9P5969e1qlHkqTlZUFUKTURIUKFUos8wDQrFkz9u/fr/Uc9+7dS7NmzbT6Xbp0CU9PzxLn0dXVRVdXt8zxCiGEEEIIIYQQ5UESwkKI/4TMzEyuXbumfL5+/Trx8fGYmZlhZ2dX7Jjo6Gjy8/Np0qQJBgYGfPnll+jr6ysJWXt7ew4fPkzfvn3R1dXFwsKCCRMm0LRpU0JCQhgyZAiGhoYkJCSwd+9eFi9ejJ2dHTo6Onz66acMHz6cS5cuMWvWrFLjNzQ0ZMSIEYSFhSkxz549m6ysLIKCgpR+FStWJCAggPDwcBwdHYskNcti6dKl+Pr64u3tzfTp03F3d6dChQqcPn2ay5cva72grSzy8vKK1ONVqVRF6vY+4enpiYWFBceOHaNz585Ke3p6Ounp6cr3ePHiRdRqNXZ2dpiZmdGsWTNMTU0ZNGgQ06ZNQ19fnxUrVnD9+nWtEhZt2rShW7duStmId999l5YtWzJv3jw6depEbGwsZ86cYfny5VpxHTlyhPbt2z/X3oUQzyclslPpnYQQQgghhBB/idQQFkL8J5w5cwZPT0/lhOd7772Hp6cn06ZNK3FMlSpVWLFiBb6+vri7u7Nv3z62bduGubk5UPjSt5SUFOrUqYOlpSUA7u7uHDp0iCtXrtC8eXNljapVqwJgaWlJdHQ0GzZswMXFhcjISObOnVumPURGRtKjRw8GDhyIl5cX165dY8+ePUVO0QYFBZGTk8PgwYOf+zlB4Wnkc+fO0bZtW8LDw/Hw8MDb25tPP/2U0NDQMiWwn/bDDz9ga2urdT1JqhenYsWKDB48mLVr12q1f/bZZ3h6eiov9mvRogWenp5s3boVKDypvHv3bjIzM3n99dfx9vbm6NGjbNmyBQ8PD2We5ORkbt++rXz28fFh3bp1LF++HA8PD7755hs2b95M/fr1lT4///wzx48f/9PPVAghhBBCCCGEeFmoNBqNpryDEOL/sXffUVFd3f/43wPCMFJFQBxhGCmimICdpmIoDqgEywe7oahEEVEsEQwG7EQFbBGNBcSeRFGiYgKPiqImGBQEMag8KEYhGguEIiJzfn/w5f4YmUEwGkye/Vpr1vLeU+4+l5lksdlzLiHk7Tl//jxcXFxw7949hVW477vS0lL07NkTV65caTZ5/HdZtGgRnj592qRquDnl5eXQ1tZGWVkZt6cxIYQQQgghhBDyrrT091CqECaEkH+Jmpoa/Pbbb4iMjIS3t/c/NhkM1D/obefOnSguLm7rUAAABgYGra6MJoQQQgghhBBC3kdUIUwIIf8SCQkJmDp1Knr16oXk5GS5D40jfx+qECaEEEIIIYQQ8neiCmFCCPkf4+vri7q6OmRlZclNBvN4PBw9evTvD+wNDR48GPv372/rMAAAdnZ2OHz4cFuHQQghhBBCCCGE/GWUECaE/OudO3cOnp6eEAqFby0pKhaLsX79+r88z/uotLQUc+bMgbm5OdTU1NCpUyc4OjoiLi4OVVVVXD+xWAwejwcejwd1dXX06dMH3377rcxc5eXl+Pzzz9G9e3eoqanB0NAQrq6uOHLkCJr7gkpycjJ+//13jB8/njv39ddfY8iQIdDS0gKPx8OzZ8+ajLt58ya8vLygp6cHLS0tDBw4EGfOnHntmr/99lsuxg8//BAnT56UaQ8PD0doaCikUulr5yKEEEIIIYQQQt5n7do6AEIIedcqKythY2MDf39/jB49uq3DaRXGGOrq6tCu3d/zn+v//ve/cHR0hI6ODlatWoUPP/wQfD4fubm5+Prrr9GlSxd8/PHHXP9ly5Zh+vTpKC8vR3R0NMaNG4cuXbrAwcEBz549w8CBA1FWVoYVK1agf//+aNeuHdLT0/HZZ5/B2dkZOjo6cuPYuHEj/Pz8oKT0///dsqqqCu7u7nB3d0dYWJjccSNGjICFhQVOnz4NgUCA9evXY8SIESgsLIShoaHcMRcvXsSECROwevVqjBgxAvv378fIkSNx5coVfPDBBwAADw8PTJs2DSkpKRg+fPgb3l1CCGl74tATbR3Cv86dKPr/AiGEEEL+WahCmBDyr+fh4YEVK1Zg1KhRLR7DGENkZCREIhH4fD6EQiGCg4MBAEOGDMHdu3cREhLCVcg2yMjIwKBBgyAQCGBsbIzg4GBUVlZy7Xv27EG/fv2gqakJQ0NDTJw4EQ8fPuTaz549Cx6Ph5SUFPTt2xd8Ph8ZGRmoqalBcHAwDAwMoKamhoEDB+Ly5ctcrObm5li3bp3MGrKzs8Hj8XD79u0WrzswMBDt2rXDL7/8grFjx6JHjx4wNTWFl5cXTpw4AU9PT5n+Devo1q0bvvrqKwgEAnz//fcAgMWLF+POnTv4+eef4ePjAysrK3Tr1g3Tp09HdnY2NDQ05Mbw6NEjnD59usm15s6di9DQUNjZ2ckd98cff+DWrVsIDQ2FtbU1LCwsEBUVhaqqKuTl5Slc84YNG+Du7o6FCxeiR48eWL58Ofr06YPNmzdzfZSVlTFs2DAcPHiwRfeREEIIIYQQQgh5X1FCmBBC5Dh8+DBiY2Oxbds23Lp1C0ePHsWHH34IADhy5AiMjIywbNkylJSUoKSkBABQWFgId3d3jBkzBteuXcOhQ4eQkZGBoKAgbt7a2losX74cOTk5OHr0KO7cuQNfX98m1w8NDUVUVBRu3LgBa2trfPbZZzh8+DB2796NK1euwNzcHBKJBE+ePAGPx4O/vz/i4+Nl5oiPj8fgwYNhbm7eojU/fvwYP/74I2bNmgV1dXW5fRonv1/Vrl07qKio4MWLF5BKpTh48CAmTZoEoVDYpK+GhobCqueMjAy0b98ePXr0aFHcDTp27AhLS0skJiaisrISL1++xLZt22BgYIC+ffty/cRiMSIjI7njS5cuwdXVVWYuiUSCS5cuyZwbMGAAzp8/36qYCCGEEEIIIYSQ9w1tGUEIIXIUFxdz+92qqKhAJBJhwIABAABdXV0oKytz1bENVq9ejUmTJmHu3LkAAAsLC2zcuBFOTk6Ii4uDmpoa/P39uf6mpqbYuHEj+vfvj4qKCpmK2WXLlsHNzQ1A/ZYXcXFxSEhIgIeHBwBg+/btSE1Nxc6dO7Fw4UL4+vriiy++QGZmJgYMGIDa2lrs37+/SdVwc27fvg3GGCwtLWXO6+np4fnz5wCAWbNm4csvv2wy9sWLF4iOjkZZWRmcnZ3xxx9/4OnTp+jevXuLr9/g7t276NSpk8x2ES3B4/GQlpaGkSNHQlNTE0pKSjAwMMCpU6fQoUMHrp+ZmRn09PS449LSUnTq1Elmrk6dOqG0tFTmnFAoxL179yCVSuXGVlNTg5qaGu64vLy8VfETQgghhBBCCCF/B6oQJoT8z1u1ahU0NDS4V3FxMby9vVFdXQ1TU1NMnz4dSUlJePnyZbPz5OTkICEhQWYuiUQCqVSKoqIiAEBWVhY8PT0hEomgqakJJycnAPUJ6Mb69evH/buwsBC1tbVwdHTkzqmoqGDAgAG4ceMGgPpk5fDhw7Fr1y4AwPfff4+amhp4e3vLjdXDw4OLsWfPns2uKzMzE9nZ2ejZs6dMwhMAFi1aBA0NDbRv3x5ffvkloqKiMHz48GYfGPc61dXVUFNTa/U4xhhmzZoFAwMDnD9/HpmZmRg5ciQ8PT25Km4A+M9//iNTtd1SAoEAUqm0yT1osHr1amhra3MvY2PjVl+DEEIIIYQQQgh516hCmBDyP2/GjBkYO3YsdywUCtGuXTsUFBQgLS0NqampCAwMxNq1a5Geng4VFRW581RUVODTTz/l9hpuTCQSobKyEhKJBBKJBPv27YO+vj6Ki4shkUjw4sULmf6KtmxozrRp0zBlyhTExsYiPj4e48aNQ/v27eX23bFjB6qrqwGAW4+5uTl4PB4KCgpk+pqamgKoT4i+qqE6WUNDA506deK2lNDX14eOjg5+/fXXVq9DT08PT58+bfW406dP4/jx43j69Cm0tLQAAFu2bEFqaip2796N0NBQueMMDQ3x+++/y5z7/fffmzyE7smTJ1BXV5d7HwAgLCwM8+bN447Ly8spKUwIIYQQQggh5L1DFcKEkP95urq6MDc3514Ne9sKBAJ4enpi48aNOHv2LC5duoTc3FwAgKqqKurq6mTm6dOnD/Lz82Xmanipqqri119/xePHjxEVFYVBgwahe/fuMg+UU8TMzAyqqqq4cOECd662thaXL1+GlZUVd27YsGFQV1dHXFwcTp06JbM9xau6dOnCxWZiYgKgfg9eNzc3bN68WeZBeM3R09ODubk5DA0NZfYXVlJSwvjx47Fv3z48ePCgybiKigqFFde9e/dGaWlpq5PCVVVV3LUbU1JSglQqVTjO3t4e//nPf2TOpaamwt7eXuZcXl4eevfurXAePp8PLS0tmRchhBBCCCGEEPK+oQphQsi/XkVFBW7fvs0dFxUVITs7G7q6uhCJRHLHJCQkoK6uDra2tmjfvj327t0LgUDAJU/FYjHOnTuH8ePHg8/nQ09PD4sWLYKdnR2CgoIwbdo0qKurIz8/H6mpqdi8eTNEIhFUVVWxadMmzJgxA3l5eVi+fPlr41dXV8fMmTOxcOFCLuY1a9agqqoKU6dO5fopKyvD19cXYWFhsLCwaJLQbIktW7bA0dER/fr1Q2RkJKytraGkpITLly/j119/lXk42+usXLkSZ8+eha2tLVauXIl+/fpBRUUF58+fx+rVq3H58mXo6Og0Gde7d2/o6enhwoULGDFiBHe+tLQUpaWl3M8yNzcXmpqaEIlE0NXVhb29PTp06AAfHx988cUXEAgE2L59O4qKijB8+HBuHhcXF4waNYrbNmLOnDlwcnJCdHQ0hg8fjoMHD+KXX37B119/LRPX+fPnMXTo0NbcTkIIee/ciRr++k6EEEIIIeTfjRFCyL/cmTNnGIAmLx8fH4VjkpKSmK2tLdPS0mLq6urMzs6OpaWlce2XLl1i1tbWjM/ns8b/Kc3MzGRubm5MQ0ODqaurM2tra7Zy5Uquff/+/UwsFjM+n8/s7e1ZcnIyA8CuXr0qE+vTp09l4qmurmazZ89menp6jM/nM0dHR5aZmdkk7sLCQgaArVmzpkkbAJaUlPTa+/XgwQMWFBTEunbtylRUVJiGhgYbMGAAW7t2LausrOT6mZiYsNjY2GbnevbsGQsNDWUWFhZMVVWVderUibm6urKkpCQmlUoVjvvss8/Y+PHjZc5FRETI/TnGx8dzfS5fvsyGDh3KdHV1maamJrOzs2MnT56UmcfExIRFRETInPvmm29Yt27dmKqqKuvZsyc7ceKETPtvv/3GVFRU2L1795pdb2NlZWUMACsrK2vxGEIIIYQQQggh5E219PdQHmN/4ck/hBBC3ivnz5+Hi4sL7t27h06dOrV1OG+stLQUPXv2xJUrV7iq7La0aNEiPH36tEnVcHPKy8uhra2NsrIy2j6CEEIIIYQQQsg719LfQ2kPYUII+ReoqanBb7/9hsjISHh7e/+jk8FA/YPedu7cieLi4rYOBQBgYGDQou09CCGEEEIIIYSQ9x1VCBNCyL9AQkICpk6dil69eiE5ORldunRp65D+51GFMCGEEEIIIYSQvxNVCBNC3ks8Hg9Hjx5tk2uLxWKsX7/+b73mkCFDMHfu3Hd+HV9fX9TV1SErK+uNk8FLlixBQEDAW47s32H8+PGIjo5u6zAIIYQQQgghhJC/jBLChPxNzp07B09PTwiFwreWFG2LBOe7lpOTgwkTJsDY2BgCgQA9evTAhg0b2jqsd+7FixdYu3Yt+vTpA3V1dWhra8PGxgbh4eF48OAB18/X1xc8Hg88Hg+qqqowNzfHsmXL8PLlS67P9u3bYWNjAw0NDejo6KB3795YvXp1s9cvLS3Fhg0b8Pnnn3PnWvKeraioQFBQEIyMjCAQCGBlZYWtW7e+dr3Xrl3DoEGDoKamBmNjY6xZs0Zuv6VLl2Ly5MkAgK+//hpDhgyBlpYWeDwenj171qT/zZs34eXlBT09PWhpaWHgwIE4c+ZMs7Fcv34dY8aMgVgsBo/Hk/uZCg8Px8qVK1FWVvbatRFCCCGEEEIIIe+zdm0dACH/KyorK2FjYwN/f3+MHj26rcNpFcYY6urq0K7du/9PRlZWFgwMDLB3714YGxvj4sWLCAgIgLKyMoKCgt759dtCTU0Nhg4dimvXrmHp0qVwdHSEvr4+ioqKcODAAWzatEkmoevu7o74+HjU1NTg5MmTmDVrFlRUVBAWFoZdu3Zh7ty52LhxI5ycnFBTU4Nr164hLy+v2Rh27NgBBwcHmQe4teQ9O2/ePJw+fRp79+6FWCzGjz/+iMDAQAiFQnz88cdyx5SXl2Po0KFwdXXF1q1bkZubC39/f+jo6DSpUD527BhCQ0MBAFVVVXB3d4e7uzvCwsLkzj1ixAhYWFjg9OnTEAgEWL9+PUaMGIHCwkIYGhrKHVNVVQVTU1N4e3sjJCREbp8PPvgAZmZm2Lt3L2bNmiW3DyHvG3HoibYOgbyH7kQNb+sQCCGEEEJIG6MKYUL+Jh4eHlixYgVGjRrV4jGMMURGRkIkEoHP50MoFCI4OBhA/VYEd+/eRUhICFcx2iAjIwODBg2CQCCAsbExgoODUVlZybXv2bMH/fr1g6amJgwNDTFx4kQ8fPiQaz979ix4PB5SUlLQt29f8Pl8ZGRkoKamBsHBwTAwMICamhoGDhyIy5cvc7Gam5tj3bp1MmvIzs4Gj8fD7du3W7Rmf39/bNiwAU5OTjA1NcXkyZPh5+eHI0eOvHbs4cOH0bNnT/D5fIjF4td+xf/Zs2eYNm0a9PX1oaWlBWdnZ+Tk5Mj0iYuLg5mZGVRVVWFpaYk9e/bIxDpixAiZ/rW1tTAwMMDOnTtbtF4AiI2NRUZGBk6fPo3g4GD07dsXIpEITk5O2Lp1K1atWiXTn8/nw9DQECYmJpg5cyZcXV2RnJwMAEhOTsbYsWMxdepUmJubo2fPnpgwYQJWrlzZbAwHDx6Ep6enzLmWvGcvXrwIHx8fDBkyBGKxGAEBAbCxsUFmZqbCMfv27cOLFy+wa9cu9OzZE+PHj0dwcDBiYmJk+t27dw/Xr1+Hu7s7AGDu3LkIDQ2FnZ2d3Hn/+OMP3Lp1C6GhobC2toaFhQWioqJQVVXVbEK8f//+WLt2LcaPHw8+n6+wn6enJw4ePKiwnRBCCCGEEEII+SeghDAh77HDhw8jNjYW27Ztw61bt3D06FF8+OGHAIAjR47AyMgIy5YtQ0lJCUpKSgAAhYWFcHd3x5gxY3Dt2jUcOnQIGRkZMtW1tbW1WL58OXJycnD06FHcuXMHvr6+Ta4fGhqKqKgo3LhxA9bW1vjss89w+PBh7N69G1euXIG5uTkkEgmePHkCHo8Hf39/xMfHy8wRHx+PwYMHw9zc/I3vQ1lZGXR1dZvtk5WVhbFjx2L8+PHIzc1FZGQklixZgoSEBIVjvL298fDhQ6SkpCArKwt9+vSBi4sLnjx5AgBISkrCnDlzMH/+fOTl5eHTTz+Fn58ftwXBtGnTcOrUKe7eA8Dx48dRVVWFcePGtXh9Bw4cgJubG3r37i23vXGyXx6BQIAXL14AAAwNDfHTTz/h7t27Lb7+kydPkJ+fj379+rV4TAMHBwckJyfj/v37YIzhzJkzuHnzJoYOHcr18fX1xZAhQ7jjS5cuYfDgwVBVVeXOSSQSFBQU4OnTp9y55ORkbouIlujYsSMsLS2RmJiIyspKvHz5Etu2bYOBgQH69u3L9ROLxYiMjGz1WgcMGIDMzEzU1NS0eiwhhBBCCCGEEPK+oIQwIe+x4uJiGBoawtXVFSKRCAMGDMD06dMBALq6ulBWVuaqfBu+Dr969WpMmjQJc+fOhYWFBRwcHLBx40YkJibi+fPnAOorWz08PGBqago7Ozts3LgRKSkpqKiokLn+smXL4ObmBjMzM/D5fMTFxWHt2rXw8PCAlZUVtm/fDoFAwFXD+vr6oqCggKsOra2txf79++Hv7//G9+DixYs4dOjQax92FhMTAxcXFyxZsgTdunWDr68vgoKCsHbtWrn9MzIykJmZiW+//Rb9+vWDhYUF1q1bBx0dHXz33XcAgHXr1sHX1xeBgYHo1q0b5s2bh9GjR3NV0A4ODk2qhuPj4+Ht7Q0NDY0Wr/HmzZuwtLSUOTdq1ChoaGhAQ0MDDg4OcscxxpCWloYffvgBzs7OAICIiAjo6OhALBbD0tISvr6++OabbyCVShVev7i4GIwxCIXCFsfcYNOmTbCysoKRkRFUVVXh7u6Or776CoMHD+b6dO7cGSKRiDsuLS1Fp06dZOZpOC4tLeXOHTt2TOG2E/LweDykpaXh6tWr0NTUhJqaGmJiYnDq1Cl06NCB62dmZgY9Pb1Wr1UoFOLFixcyMTZWU1OD8vJymRchhBBCCCGEEPK+oYQwIe+JVatWcQlADQ0NFBcXw9vbG9XV1TA1NcX06dORlJQk8/AweXJycpCQkCAzl0QigVQqRVFREYD6alpPT0+IRCJoamrCyckJQH1isLHGFaOFhYWora2Fo6Mjd05FRQUDBgzAjRs3ANQnzIYPH45du3YBAL7//nvU1NTA29tbbqweHh5cjD179mzSnpeXBy8vL0RERHAVp8XFxTJra9hO4caNGzKxAYCjoyNu3bqFuro6ufepoqICHTt2lJmvqKgIhYWFzc7ZsF6gvkq4oSr6999/R0pKisIEuLyfsSJbtmxBdnY2/P39UVVVJdN2/PhxaGhoQE1NDR4eHhg3bhxX8dq5c2dcunQJubm5mDNnDl6+fAkfHx+4u7srTApXV1cDANTU1BTGo8imTZvw008/ITk5GVlZWYiOjsasWbOQlpbG9Vm9ejUSExNbNW95eTnS09NblRBmjGHWrFkwMDDA+fPnkZmZiZEjR8LT01Omivs///nPG+1HLRAIAKDJz6PB6tWroa2tzb2MjY1bfQ1CCCGEEEIIIeRdo4fKEfKemDFjBsaOHcsdC4VCtGvXDgUFBUhLS0NqaioCAwOxdu1apKenQ0VFRe48FRUV+PTTT7m9hhsTiUSorKyERCKBRCLBvn37oK+vj+LiYkgkEm7bgQbq6uqtXse0adMwZcoUxMbGIj4+HuPGjUP79u3l9t2xYweXjHx1Pfn5+XBxcUFAQADCw8O580KhENnZ2dzx67aSUKSiogKdO3fG2bNnm7Tp6Oi0eJ5PPvkEoaGhuHTpEi5evIiuXbti0KBBcvvK+xkDgIWFBQoKCmT6du7cGYD89X300UeIi4uDqqoq9z551QcffIAPPvgAgYGBmDFjBgYNGoT09HR89NFHTfo2VMs+ffoU+vr6LVx5fSJ58eLFSEpKwvDh9Q8psra2RnZ2NtatWwdXV1e54wwNDfH777/LnGs4bqh0T0lJgZWVVauSqqdPn8bx48fx9OlTbpuJLVu2IDU1Fbt37+YeTvemGrYSUXSPwsLCMG/ePO64vLycksKEEEIIIYQQQt47lBAm5D2hq6srN/knEAjg6ekJT09PzJo1C927d0dubi769OkDVVXVJtWvffr0QX5+vsI9e3Nzc/H48WNERUVxyapffvnltfE1PFjtwoULMDExAVC/JcTly5cxd+5crt+wYcOgrq6OuLg4nDp1CufOnVM4Z5cuXeSev379OpydneHj49PkYWjt2rWTu7YePXrgwoULMucuXLiAbt26QVlZuUn/Pn36oLS0FO3atYNYLJYbR8OcPj4+MnNaWVlxxx07dsTIkSMRHx+PS5cuwc/PT+F6Ff2MJ0yYgPDwcFy9elXhPsKNqaurt2pP5oZ4Gz9YsDEzMzNoaWkhPz8f3bp1a/G8tbW1qK2thZKS7JdNlJWVm92iwt7eHp9//jlqa2u5PwSkpqbC0tKS29rh2LFj8PLyanEswP9fuftqPEpKSs3G01J5eXkwMjJSuN0En89v9qF0hBBCCCGEEELI+4ASwoT8TSoqKnD79m3uuKioCNnZ2dDV1ZXZX7WxhIQE1NXVwdbWFu3bt8fevXshEAi4hKxYLMa5c+cwfvx48Pl86OnpYdGiRbCzs0NQUBCmTZsGdXV15OfnIzU1FZs3b4ZIJIKqqio2bdqEGTNmIC8vD8uXL39t/Orq6pg5cyYWLlzIxbxmzRpUVVVh6tSpXD9lZWX4+voiLCwMFhYWsLe3b9V9ysvLg7OzMyQSCebNm8ft16qsrNxs9er8+fPRv39/LF++HOPGjcOlS5ewefNmbNmyRW5/V1dX2NvbY+TIkVizZg26deuGBw8e4MSJExg1ahT69euHhQsXYuzYsejduzdcXV3x/fff48iRIzLbIQD1VdEjRoxAXV2dTPK4pUJCQnDixAm4uLggIiICgwYNQocOHXDz5k2kpKTITWgrMnPmTAiFQjg7O8PIyAglJSVYsWIF9PX1Ff4slJSU4OrqioyMDIwcOZI7/7r3rJaWFpycnLBw4ULufZmeno7ExETExMRw48LCwnD//n1u24iJEydi6dKlmDp1KhYtWoS8vDxs2LABsbGxAICXL18iJSUFCxYskImztLQUpaWlXEy5ubnQ1NSESCSCrq4u7O3t0aFDB/j4+OCLL76AQCDA9u3bUVRUxFUwA4CLiwtGjRrFbRvx4sUL5Ofnc/++f/8+srOzoaGhIZN4P3/+vMzD8gh5392JGv76ToQQQgghhJD/PYwQ8rc4c+YMA9Dk5ePjo3BMUlISs7W1ZVpaWkxdXZ3Z2dmxtLQ0rv3SpUvM2tqa8fl81vjjnJmZydzc3JiGhgZTV1dn1tbWbOXKlVz7/v37mVgsZnw+n9nb27Pk5GQGgF29elUm1qdPn8rEU11dzWbPns309PQYn89njo6OLDMzs0nchYWFDABbs2ZNkzYALCkpSeGaIyIi5N4nExMThWMafPfdd8zKyoqpqKgwkUjE1q5dK9NuYmLCYmNjuePy8nI2e/ZsJhQKmYqKCjM2NmaTJk1ixcXFXJ8tW7YwU1NTpqKiwrp168YSExObXFcqlTITExM2bNiwJm1OTk5szpw5r439+fPnLCoqitnY2DCBQMD4fD7r3r07CwkJkYnHx8eHeXl5NXsPhg0bxjp37sxUVVWZUChkY8aMYdeuXWv2+idPnmRdunRhdXV13LmWvGdLSkqYr68vEwqFTE1NjVlaWrLo6GgmlUplYnZycpK5Xk5ODhs4cCDj8/msS5cuLCoqimtLS0tjRkZGTWJU9N6Ij4/n+ly+fJkNHTqU6erqMk1NTWZnZ8dOnjwpM4+JiQmLiIjgjouKiuTO2zjm6upqpq2tzS5dutTsfWysrKyMAWBlZWUtHkMIIYQQQgghhLyplv4eymOMsXefdiaE/C85f/48XFxccO/ePXTq1Kmtw3nnKioq0KVLF8THx2P06NFtHc4bYYzB1tYWISEhmDBhQpvGEhwcjJcvXyqs7m4LcXFxSEpKwo8//tjiMeXl5dDW1kZZWRm3pzEhhBBCCCGEEPKutPT3UNoyghDy1tTU1ODRo0eIjIyEt7f3vz4ZLJVK8ccffyA6Oho6Ojr4+OOP2zqkN8bj8fD1118jNze3rUPBBx980OqtRt41FRUVbNq0qa3DIIQQQgghhBBC/jKqECaEvDUJCQmYOnUqevXqheTkZIUPjfu3uHPnDrp27QojIyMkJCTAxcWlrUMi7xGqECaEEEIIIYQQ8ndq6e+hSgpbCCGklXx9fVFXV4esrCyFyWAej4ejR4/+vYH9P2KxGOvXr3+r8zHGcO/ePYXJ4CFDhmDu3Llv7Zrv0pIlSxAQENDWYbyXxo8fj+jo6LYOgxBCCCGEEEII+csoIUzI3+TcuXPw9PSEUCh8a0nRt53gfB/k5ORgwoQJMDY2hkAgQI8ePbBhw4a2Duude/HiBdauXYs+ffpAXV0d2trasLGxQXh4OB48eMD18/X1BY/HA4/Hg6qqKszNzbFs2TK8fPkSAHD27Fmu/dVXaWmpwuuXlpZiw4YN+Pzzz7lzLXnPVlRUICgoCEZGRhAIBLCyssLWrVtfu95r165h0KBBUFNTg7GxMdasWSO339KlSzF58mQAwNdff40hQ4ZAS0sLPB4Pz549a9L/5s2b8PLygp6eHrS0tDBw4ECcOXOm2ViuX7+OMWPGQCwWg8fjyf1MhYeHY+XKlSgrK3vt2gghhBBCCCGEkPcZ7SFMyN+ksrISNjY28Pf3/8c9eIwxhrq6OrRr9+7/k5GVlQUDAwPs3bsXxsbGuHjxIgICAqCsrIygoKB3fv22UFNTg6FDh+LatWtYunQpHB0doa+vj6KiIhw4cACbNm3C6tWruf7u7u6Ij49HTU0NTp48iVmzZkFFRQVhYWFcn4KCgiZfDzEwMFAYw44dO+Dg4AATExPuXEves/PmzcPp06exd+9eiMVi/PjjjwgMDIRQKFS4p3J5eTmGDh0KV1dXbN26Fbm5ufD394eOjk6TCuVjx44hNDQUAFBVVQV3d3e4u7vLrLWxESNGwMLCAqdPn4ZAIMD69esxYsQIFBYWwtDQUO6YqqoqmJqawtvbGyEhIXL7fPDBBzAzM8PevXsxa9YsuX0IIeSfQBx6oq1DeKvuRA1v6xAIIYQQQv5xqEKYkL+Jh4cHVqxYgVGjRrV4DGMMkZGREIlE4PP5EAqFCA4OBlC/FcHdu3cREhLCVYA2yMjIwKBBgyAQCGBsbIzg4GBUVlZy7Xv27EG/fv2gqakJQ0NDTJw4EQ8fPuTaG6pMU1JS0LdvX/D5fGRkZKCmpgbBwcEwMDCAmpoaBg4ciMuXL3OxmpubY926dTJryM7OBo/Hw+3bt1u0Zn9/f2zYsAFOTk4wNTXF5MmT4efnhyNHjrx27OHDh9GzZ0/w+XyIxeLXfsX/2bNnmDZtGvT19aGlpQVnZ2fk5OTI9ImLi4OZmRlUVVVhaWmJPXv2yMQ6YsQImf61tbUwMDDAzp07W7ReAIiNjUVGRgZOnz6N4OBg9O3bFyKRCE5OTti6dStWrVol05/P58PQ0BAmJiaYOXMmXF1dkZycLNPHwMAAhoaGMi8lJcX/yT948CA8PT1lzrXkPXvx4kX4+PhgyJAhEIvFCAgIgI2NDTIzMxWO2bdvH168eIFdu3ahZ8+eGD9+PIKDgxETEyPT7969e7h+/Trc3d0BAHPnzkVoaCjs7OzkzvvHH3/g1q1bCA0NhbW1NSwsLBAVFYWqqirk5eUpjKd///5Yu3Ytxo8fDz6fr7Cfp6cnDh48qLCdEEIIIYQQQgj5J6CEMCHvscOHDyM2Nhbbtm3DrVu3cPToUXz44YcAgCNHjsDIyAjLli1DSUkJSkpKAACFhYVwd3fHmDFjcO3aNRw6dAgZGRky1bW1tbVYvnw5cnJycPToUdy5cwe+vr5Nrh8aGoqoqCjcuHED1tbW+Oyzz3D48GHs3r0bV65cgbm5OSQSCZ48eQIejwd/f3/Ex8fLzBEfH4/BgwfD3Nz8je9DWVkZdHV1m+2TlZWFsWPHYvz48cjNzUVkZCSWLFmChIQEhWO8vb3x8OFDpKSkICsrC3369IGLiwuePHkCAEhKSsKcOXMwf/585OXl4dNPP4Wfnx+3BcG0adNw6tQp7t4DwPHjx1FVVYVx48a1eH0HDhyAm5sbevfuLbe9cbJfHoFAgBcvXrT4eq968uQJ8vPz0a9fv1aPdXBwQHJyMu7fvw/GGM6cOYObN29i6NChXB9fX18MGTKEO7506RIGDx4MVVVV7pxEIkFBQQGePn3KnUtOTua2iGiJjh07wtLSEomJiaisrMTLly+xbds2GBgYoG/fvlw/sViMyMjIVq91wIAByMzMRE1Njdz2mpoalJeXy7wIIYQQQgghhJD3DSWECXmPFRcXw9DQEK6urhCJRBgwYACmT58OANDV1YWysjJX5dvwdfjVq1dj0qRJmDt3LiwsLODg4ICNGzciMTERz58/B1Bf2erh4QFTU1PY2dlh48aNSElJQUVFhcz1ly1bBjc3N5iZmYHP5yMuLg5r166Fh4cHrKyssH37dggEAq4a1tfXFwUFBVx1aG1tLfbv3w9/f/83vgcXL17EoUOHXvuws5iYGLi4uGDJkiXo1q0bfH19ERQUhLVr18rtn5GRgczMTHz77bfo168fLCwssG7dOujo6OC7774DAKxbtw6+vr4IDAxEt27dMG/ePIwePZqrgnZwcGhSNRwfHw9vb29oaGi0eI03b96EpaWlzLlRo0ZBQ0MDGhoacHBwkDuOMYa0tDT88MMPcHZ2lmkzMjLixmtoaKBnz54Kr19cXAzGGIRCYYtjbrBp0yZYWVnByMgIqqqqcHd3x1dffYXBgwdzfTp37gyRSMQdl5aWolOnTjLzNBw33uf42LFjCredkIfH4yEtLQ1Xr16FpqYm1NTUEBMTg1OnTqFDhw5cPzMzM+jp6bV6rUKhEC9evFC4F/Pq1auhra3NvYyNjVt9DUIIIYQQQggh5F2jhDAh74lVq1bJJPCKi4vh7e2N6upqmJqaYvr06UhKSuIeHqZITk4OEhISZOaSSCSQSqUoKioCUF9N6+npCZFIBE1NTTg5OQGoTww21rhitLCwELW1tXB0dOTOqaioYMCAAbhx4waA+oTZ8OHDsWvXLgDA999/j5qaGnh7e8uN1cPDo9mEZV5eHry8vBAREcFVnBYXF8usrWE7hRs3bsjEBgCOjo64desW6urq5N6niooKdOzYUWa+oqIiFBYWNjtnw3qB+irhhqro33//HSkpKQoT4PJ+xops2bIF2dnZ8Pf3R1VVlUzb8ePHoaGhATU1NXh4eGDcuHFNKl7Pnz+P7Oxs7nXy5EmF16qurgYAqKmpKeyjyKZNm/DTTz8hOTkZWVlZiI6OxqxZs5CWlsb1Wb16NRITE1s1b3l5OdLT01uVEGaMYdasWTAwMMD58+eRmZmJkSNHwtPTU6aK+z//+c8b7UctEAgAoMnPo0FYWBjKysq4171791p9DUIIIYQQQggh5F2jh8oR8p6YMWMGxo4dyx0LhUK0a9cOBQUFSEtLQ2pqKgIDA7F27Vqkp6dDRUVF7jwVFRX49NNPub2GGxOJRKisrIREIoFEIsG+ffugr6+P4uJiSCSSJtsOqKurt3od06ZNw5QpUxAbG4v4+HiMGzcO7du3l9t3x44dXDLy1fXk5+fDxcUFAQEBCA8P584LhUJkZ2dzx6/bSkKRiooKdO7cGWfPnm3SpqOj0+J5PvnkE4SGhuLSpUu4ePEiunbtikGDBsntK+9nDAAWFhYoKCiQ6du5c2cA8tf30UcfIS4uDqqqqtz75FVdu3Zt8ToaqmWfPn0KfX39Fo0B6hPJixcvRlJSEoYPr3+oj7W1NbKzs7Fu3Tq4urrKHWdoaIjff/9d5lzDcUOle0pKCqysrFpVZXv69GkcP34cT58+5baZ2LJlC1JTU7F7927u4XRvqmErEUX3iM/nN7sHMSGEEEIIIYQQ8j6ghDAh7wldXV25yT+BQABPT094enpi1qxZ6N69O3Jzc9GnTx+oqqo2qX7t06cP8vPzFe7Zm5ubi8ePHyMqKopLtv3yyy+vja/hwWoXLlyAiYkJgPotIS5fvoy5c+dy/YYNGwZ1dXXExcXh1KlTOHfunMI5u3TpIvf89evX4ezsDB8fH6xcuVKmrV27dnLX1qNHD1y4cEHm3IULF9CtWzcoKys36d+nTx+UlpaiXbt2EIvFcuNomNPHx0dmTisrK+64Y8eOAZzCdQABAABJREFUGDlyJOLj43Hp0iX4+fkpXK+in/GECRMQHh6Oq1evKtxHuDF1dfW/tCfzq8zMzKClpYX8/Hx069atxeNqa2tRW1vb5GF1ysrKkEqlCsfZ29vj888/R21tLfeHgNTUVFhaWnJbOxw7dgxeXl6tWkdD5e6r8SgpKTUbT0vl5eXByMjojbabIIQQQgghhBBC3heUECbkb1JRUYHbt29zx0VFRcjOzoaurq7M/qqNJSQkoK6uDra2tmjfvj327t0LgUDAJWTFYjHOnTuH8ePHg8/nQ09PD4sWLYKdnR2CgoIwbdo0qKurIz8/H6mpqdi8eTNEIhFUVVWxadMmzJgxA3l5eVi+fPlr41dXV8fMmTOxcOFCLuY1a9agqqoKU6dO5fopKyvD19cXYWFhsLCwgL29favuU15eHpydnSGRSDBv3jxuv1ZlZeVmq1fnz5+P/v37Y/ny5Rg3bhwuXbqEzZs3Y8uWLXL7u7q6wt7eHiNHjsSaNWvQrVs3PHjwACdOnMCoUaPQr18/LFy4EGPHjkXv3r3h6uqK77//HkeOHJHZDgGor4oeMWIE6urqZJLHLRUSEoITJ07AxcUFERERGDRoEDp06ICbN28iJSVFbkL7dR4+fMjtGd2gY8eOcivLlZSU4OrqioyMDIwcOZI7/7r3rJaWFpycnLBw4ULufZmeno7ExETExMRw48LCwnD//n1u24iJEydi6dKlmDp1KhYtWoS8vDxs2LABsbGxAICXL18iJSUFCxYskImztLQUpaWlXEy5ubnQ1NSESCSCrq4u7O3t0aFDB/j4+OCLL76AQCDA9u3bUVRUxFUwA4CLiwtGjRrFbRvx4sUL5Ofnc/++f/8+srOzoaGhIZN4P3/+vMzD8ggh5J/oTtTw13cihBBCCCH/bowQ8rc4c+YMA9Dk5ePjo3BMUlISs7W1ZVpaWkxdXZ3Z2dmxtLQ0rv3SpUvM2tqa8fl81vjjnJmZydzc3JiGhgZTV1dn1tbWbOXKlVz7/v37mVgsZnw+n9nb27Pk5GQGgF29elUm1qdPn8rEU11dzWbPns309PQYn89njo6OLDMzs0nchYWFDABbs2ZNkzYALCkpSeGaIyIi5N4nExMThWMafPfdd8zKyoqpqKgwkUjE1q5dK9NuYmLCYmNjuePy8nI2e/ZsJhQKmYqKCjM2NmaTJk1ixcXFXJ8tW7YwU1NTpqKiwrp168YSExObXFcqlTITExM2bNiwJm1OTk5szpw5r439+fPnLCoqitnY2DCBQMD4fD7r3r07CwkJkYnHx8eHeXl5KZxH0fsMALt06ZLCcSdPnmRdunRhdXV1r52r8Xu2pKSE+fr6MqFQyNTU1JilpSWLjo5mUqlUJmYnJyeZ6+Xk5LCBAwcyPp/PunTpwqKiori2tLQ0ZmRk1CRGRe+N+Ph4rs/ly5fZ0KFDma6uLtPU1GR2dnbs5MmTMvOYmJiwiIgI7rioqEjuvI1jrq6uZtra2s3ew1eVlZUxAKysrKzFYwghhBBCCCGEkDfV0t9DeYwx9i4TzoSQ/z3nz5+Hi4sL7t27h06dOrV1OO9cRUUFunTpgvj4eIwePbqtw3kjjDHY2toiJCQEEyZMaNNYgoOD8fLlS4XV3W0hLi4OSUlJ+PHHH1s8pry8HNra2igrK+P2NCaEEEIIIYQQQt6Vlv4eSltGEELempqaGjx69AiRkZHw9vb+1yeDpVIp/vjjD0RHR0NHRwcff/xxW4f0xng8Hr7++mvk5ua2dSj44IMPWr3VyLumoqKCTZs2tXUYhBBCCCGEEELIX0YVwoSQtyYhIQFTp05Fr169kJycrPChcf8Wd+7cQdeuXWFkZISEhAS4uLi0dUjkPUIVwoQQQgghhBBC/k4t/T1USWELIYS0kq+vL+rq6pCVldUkGczj8XD06NE2iUssFmP9+vXvZF7GGO7du9ckGTxkyBDMnTv3rV/zXVmyZAkCAgLaOoz30vjx4xEdHd3WYRBCCCGEEEIIIW8FJYQJecfOnTsHT09PCIXCt5YUfVcJzraUk5ODCRMmwNjYGAKBAD169MCGDRvaOqx37sWLF1i7di369OkDdXV1aGtrw8bGBuHh4Xjw4AHXz9fXFzweDzweD6qqqjA3N8eyZcvw8uVLrg9jDF9//TVsbW2hoaEBHR0d9OvXD+vXr0dVVZXCGEpLS7FhwwZ8/vnn3LmWvG8rKioQFBQEIyMjCAQCWFlZYevWra9d87Vr1zBo0CCoqanB2NgYa9askdtv6dKlmDx5MgDg66+/xpAhQ6ClpQUej4dnz5416X/z5k14eXlBT08PWlpaGDhwIM6cOdNsLNevX8eYMWMgFovB4/Hkfq7Cw8OxcuVKlJWVvXZthBBCCCGEEELI+472ECbkHausrISNjQ38/f3/cQ8cY4yhrq4O7dq9+/9UZGVlwcDAAHv37oWxsTEuXryIgIAAKCsrIygo6J1fvy3U1NRg6NChuHbtGpYuXQpHR0fo6+ujqKgIBw4cwKZNm7B69Wquv7u7O+Lj41FTU4OTJ09i1qxZUFFRQVhYGABgypQpOHLkCMLDw7F582bo6+sjJycH69evh1gsxsiRI+XGsWPHDjg4OMDExIQ715L37bx583D69Gns3bsXYrEYP/74IwIDAyEUChXup1xeXo6hQ4fC1dUVW7duRW5uLvz9/aGjo9OkQvnYsWMIDQ0FAFRVVcHd3R3u7u7cel81YsQIWFhY4PTp0xAIBFi/fj1GjBiBwsJCGBoayh1TVVUFU1NTeHt7IyQkRG6fDz74AGZmZti7dy9mzZoltw8hhPxTiENPtHUIbeZO1PC2DoEQQggh5L1AFcKEvGMeHh5YsWIFRo0a1eIxjDFERkZCJBKBz+dDKBQiODgYQP1WBHfv3kVISAhXMdogIyMDgwYNgkAggLGxMYKDg1FZWcm179mzB/369YOmpiYMDQ0xceJEPHz4kGs/e/YseDweUlJS0LdvX/D5fGRkZKCmpgbBwcEwMDCAmpoaBg4ciMuXL3OxmpubY926dTJryM7OBo/Hw+3bt1u0Zn9/f2zYsAFOTk4wNTXF5MmT4efnhyNHjrx27OHDh9GzZ0/w+XyIxeLXfr3/2bNnmDZtGvT19aGlpQVnZ2fk5OTI9ImLi4OZmRlUVVVhaWmJPXv2yMQ6YsQImf61tbUwMDDAzp07W7ReAIiNjUVGRgZOnz6N4OBg9O3bFyKRCE5OTti6dStWrVol05/P58PQ0BAmJiaYOXMmXF1dkZycDAD45ptvsG/fPhw4cACLFy9G//79IRaL4eXlhdOnT+Ojjz5SGMfBgwfh6ekpc64l79uLFy/Cx8cHQ4YMgVgsRkBAAGxsbJCZmalwzL59+/DixQvs2rULPXv2xPjx4xEcHIyYmBiZfvfu3cP169fh7u4OAJg7dy5CQ0NhZ2cnd94//vgDt27dQmhoKKytrWFhYYGoqChUVVUhLy9PYTz9+/fH2rVrMX78ePD5fIX9PD09cfDgQYXthBBCCCGEEELIPwUlhAl5Dx0+fBixsbHYtm0bbt26haNHj+LDDz8EABw5cgRGRkZYtmwZSkpKUFJSAgAoLCyEu7s7xowZg2vXruHQoUPIyMiQqa6tra3F8uXLkZOTg6NHj+LOnTvw9fVtcv3Q0FBERUXhxo0bsLa2xmeffYbDhw9j9+7duHLlCszNzSGRSPDkyRPweDz4+/sjPj5eZo74+HgMHjwY5ubmb3wfysrKoKur22yfrKwsjB07FuPHj0dubi4iIyOxZMkSJCQkKBzj7e2Nhw8fIiUlBVlZWejTpw9cXFzw5MkTAEBSUhLmzJmD+fPnIy8vD59++in8/Py47QemTZuGU6dOcfceAI4fP46qqiqMGzeuxes7cOAA3Nzc0Lt3b7ntjZP98ggEArx48QJAfaLV0tISXl5ecufR1taWO8eTJ0+Qn5+Pfv36tTjuBg4ODkhOTsb9+/fBGMOZM2dw8+ZNDB06lOvj6+uLIUOGcMeXLl3C4MGDoaqqyp2TSCQoKCjA06dPuXPJycncFhEt0bFjR1haWiIxMRGVlZV4+fIltm3bBgMDA/Tt25frJxaLERkZ2eq1DhgwAJmZmaipqVHYp6amBuXl5TIvQgghhBBCCCHkfUMJYULeQ8XFxTA0NISrqytEIhEGDBiA6dOnAwB0dXWhrKzMVfk2fBV+9erVmDRpEubOnQsLCws4ODhg48aNSExMxPPnzwHUV7Z6eHjA1NQUdnZ22LhxI1JSUlBRUSFz/WXLlsHNzQ1mZmbg8/mIi4vD2rVr4eHhASsrK2zfvh0CgYCrhvX19UVBQQFXGVpbW4v9+/fD39//je/BxYsXcejQodc+6CwmJgYuLi5YsmQJunXrBl9fXwQFBWHt2rVy+2dkZCAzMxPffvst+vXrBwsLC6xbtw46Ojr47rvvAADr1q2Dr68vAgMD0a1bN8ybNw+jR4/mqqAdHByaVA3Hx8fD29sbGhoaLV7jzZs3YWlpKXNu1KhR0NDQgIaGBhwcHOSOY4whLS0NP/zwA5ydnQEAt27dajJXSxQXF4MxBqFQ2OqxmzZtgpWVFYyMjKCqqgp3d3d89dVXGDx4MNenc+fOEIlE3HFpaSk6deokM0/DcWlpKXfu2LFjCredkIfH4yEtLQ1Xr16FpqYm1NTUEBMTg1OnTqFDhw5cPzMzM+jp6bV6rUKhEC9evJCJ8VWrV6+GtrY29zI2Nm71dQghhBBCCCGEkHeNEsKEtLFVq1ZxCUANDQ0UFxfD29sb1dXVMDU1xfTp05GUlCTz8DB5cnJykJCQIDOXRCKBVCpFUVERgPpqWk9PT4hEImhqasLJyQlAfVKwscbVooWFhaitrYWjoyN3TkVFBQMGDMCNGzcA1CfLhg8fjl27dgEAvv/+e9TU1MDb21turB4eHlyMPXv2bNKel5cHLy8vREREcNWmxcXFMmtr2E7hxo0bMrEBgKOjI27duoW6ujq596miogIdO3aUma+oqAiFhYXNztmwXqC+SrihKvr3339HSkqKwgS4vJ+xIlu2bEF2djb8/f2bPAju+PHj0NDQgJqaGjw8PDBu3Diu2pUxpnDO5lRXVwMA1NTUWj1206ZN+Omnn5CcnIysrCxER0dj1qxZSEtL4/qsXr0aiYmJrZq3vLwc6enprUoIM8Ywa9YsGBgY4Pz588jMzMTIkSPh6ekpU8n9n//85432pBYIBADQ7MP5wsLCUFZWxr3u3bvX6usQQgghhBBCCCHvGj1UjpA2NmPGDIwdO5Y7FgqFaNeuHQoKCpCWlobU1FQEBgZi7dq1SE9Ph4qKitx5Kioq8Omnn3J7DTcmEolQWVkJiUQCiUSCffv2QV9fH8XFxZBIJNy2Aw3U1dVbvY5p06ZhypQpiI2NRXx8PMaNG4f27dvL7btjxw4uEfnqevLz8+Hi4oKAgACEh4dz54VCIbKzs7nj120loUhFRQU6d+6Ms2fPNmnT0dFp8TyffPIJQkNDcenSJVy8eBFdu3bFoEGD5PaV9zMGAAsLCxQUFMj07dy5MwD56/voo48QFxcHVVVV7n3SoFu3bvj1119bHH+DhmrZp0+fQl9fv8XjqqursXjxYiQlJWH48PqH9FhbWyM7Oxvr1q2Dq6ur3HGGhob4/fffZc41HDdUu6ekpMDKyqpVFbanT5/G8ePH8fTpU26biS1btiA1NRW7d+/mHk73phq2E2nuHvH5/Gb3ISaEEEIIIYQQQt4HlBAmpI3p6urKTf4JBAJ4enrC09MTs2bNQvfu3ZGbm4s+ffpAVVW1SfVrnz59kJ+fr3DP3tzcXDx+/BhRUVFcou2XX355bXwND1a7cOECTExMANRvCXH58mXMnTuX6zds2DCoq6sjLi4Op06dwrlz5xTO2aVLF7nnr1+/DmdnZ/j4+GDlypUybe3atZO7th49euDChQsy5y5cuIBu3bpBWVm5Sf8+ffqgtLQU7dq1g1gslhtHw5w+Pj4yc1pZWXHHHTt2xMiRIxEfH49Lly7Bz89P4XoV/YwnTJiA8PBwXL16VeE+wo2pq6sr/PlOnDgR48ePx7Fjx5rsI8wYQ3l5udx9hM3MzKClpYX8/Hx069bttTE0qK2tRW1tLZSUZL9ooqysDKlUqnCcvb09Pv/8c9TW1nJ/DEhNTYWlpSW3tYO8NbxOQ+Xuq/EoKSk1G09L5eXlwcjI6I22myCEEEIIIYQQQt4nlBAm5B2rqKjA7du3ueOioiJkZ2dDV1dXZm/VxhISElBXVwdbW1u0b98ee/fuhUAg4BKyYrEY586dw/jx48Hn86Gnp4dFixbBzs4OQUFBmDZtGtTV1ZGfn4/U1FRs3rwZIpEIqqqq2LRpE2bMmIG8vDwsX778tfGrq6tj5syZWLhwIRfzmjVrUFVVhalTp3L9lJWV4evri7CwMFhYWMDe3r5V9ykvLw/Ozs6QSCSYN28et1ersrJys1WZ8+fPR//+/bF8+XKMGzcOly5dwubNm7Flyxa5/V1dXWFvb4+RI0dizZo16NatGx48eIATJ05g1KhR6NevHxYuXIixY8eid+/ecHV1xffff48jR47IbIUA1FdFjxgxAnV1dTLJ45YKCQnBiRMn4OLigoiICAwaNAgdOnTAzZs3kZKSIjehrcjYsWORlJTEJZmHDh0KfX195ObmIjY2FrNnz8bIkSObjFNSUoKrqysyMjJk2l/3vtXS0oKTkxMWLlzIvTfT09ORmJiImJgYblxYWBju37/PbRsxceJELF26FFOnTsWiRYuQl5eHDRs2IDY2FgDw8uVLpKSkYMGCBTJxlpaWorS0lIspNzcXmpqaEIlE0NXVhb29PTp06AAfHx988cUXEAgE2L59O4qKirgKZgBwcXHBqFGjuG0jXrx4gfz8fO7f9+/fR3Z2NjQ0NGSS7+fPn5d5WB4hhPxT3Yka/vpOhBBCCCHk340RQt6pM2fOMABNXj4+PgrHJCUlMVtbW6alpcXU1dWZnZ0dS0tL49ovXbrErK2tGZ/PZ40/xpmZmczNzY1paGgwdXV1Zm1tzVauXMm179+/n4nFYsbn85m9vT1LTk5mANjVq1dlYn369KlMPNXV1Wz27NlMT0+P8fl85ujoyDIzM5vEXVhYyACwNWvWNGkDwJKSkhSuOSIiQu59MjExUTimwXfffcesrKyYiooKE4lEbO3atTLtJiYmLDY2ljsuLy9ns2fPZkKhkKmoqDBjY2M2adIkVlxczPXZsmULMzU1ZSoqKqxbt24sMTGxyXWlUikzMTFhw4YNa9Lm5OTE5syZ89rYnz9/zqKiopiNjQ0TCASMz+ez7t27s5CQEJl4fHx8mJeXV7Nz1dXVsbi4ONa/f3/Wvn17pqWlxfr27cs2bNjAqqqqFI47efIk69KlC6urq+POteR9W1JSwnx9fZlQKGRqamrM0tKSRUdHM6lUKhO3k5OTzPVycnLYwIEDGZ/PZ126dGFRUVFcW1paGjMyMmoSo6L3R3x8PNfn8uXLbOjQoUxXV5dpamoyOzs7dvLkSZl5TExMWEREBHdcVFQkd97GMVdXVzNtbW126dIlhfdQnrKyMgaAlZWVtWocIYQQQgghhBDyJlr6eyiPsTd8EhEhhLzi/PnzcHFxwb1799CpU6e2Duedq6ioQJcuXRAfH4/Ro0e3dThvjDEGW1tbhISEYMKECW0aS3BwMF6+fKmwwrstxMXFISkpCT/++GOrxjVs01FWVsbta0wIIYQQQgghhLwrLf09lLaMIIT8ZTU1NXj06BEiIyPh7e39r08GS6VS/PHHH4iOjoaOjg4+/vjjtg7pL+HxePj666+Rm5vb1qHggw8+aPV2I++aiooKNm3a1NZhEEIIIYQQQgghbwVVCBNC/rKEhARMnToVvXr1QnJyssKHxv1b3LlzB127doWRkRESEhLg4uLS1iGR9xBVCBNCCCGEEEII+Tu19PdQJYUthBDSAjweDzo6Oqirq0NWVtZbSwb7+vrKPORsyJAhmDt37luZW9E1WkosFoMxhnv37rU6GRwZGYlevXq1+prv2uPHj2FgYIA7d+60dSjvnVOnTqFXr16QSqVtHQohhBBCCCGEEPKXUUKYkDd07tw5eHp6QigUgsfj4ejRo395TrFYjPXr1//led4nOTk5mDBhAoyNjSEQCNCjRw9s2LCh1fMcOXIEy5cvfwcRvr8OHz4MZ2dndOjQAQKBAJaWlvD398fVq1e5PgkJCeDxeODxeFBSUoKRkRH8/Pzw8OFDrk9L3p8rV66El5cXxGIxdy44OBh9+/YFn89XmMT+4YcfYGdnB01NTejr62PMmDGvTSozxvDFF1+gc+fOEAgEcHV1xa1bt5r0q66uhrq6Om7fvo2SkhJMnDgR3bp1g5KSksI/Dqxfvx6WlpYQCAQwNjZGSEgInj9/rjCWO3fuYOrUqejatSsEAgHMzMwQERGBFy9ecH3c3d2hoqKCffv2NbsuQgghhBBCCCHkn4D2ECbkDVVWVsLGxgb+/v7/uAeKMcZQV1eHdu3e/X8CsrKyYGBggL1798LY2BgXL15EQEAAlJWVERQU1OJ5dHV132GU759FixYhOjoawcHBWLp0KUxMTPDo0SOkpKQgLCwMp06d4vpqaWmhoKAAUqkUOTk58PPzw4MHD/DDDz+06FpVVVXYuXOn3P7+/v74+eefce3atSZtRUVF8PLywrx587Bv3z6UlZUhJCQEo0ePxpUrVxReb82aNdi4cSN2796Nrl27YsmSJZBIJMjPz4eamhrXLzU1FSYmJjA3N8edO3egr6+P8PBwxMbGyp13//79CA0Nxa5du+Dg4ICbN2/C19cXPB4PMTExcsf8+uuvkEql2LZtG8zNzZGXl4fp06ejsrIS69at4/r5+vpi48aNmDJlisJ1EULIP4E49ERbh/CX3Ika3tYhEEIIIYT841GFMCFvyMPDAytWrMCoUaNaPIYxhsjISIhEIvD5fAiFQgQHBwOo3xLh7t27CAkJ4So+G2RkZGDQoEFc1WNwcDAqKyu59j179qBfv37Q1NSEoaEhJk6cKFMhevbsWfB4PKSkpHAVnxkZGaipqUFwcDAMDAygpqaGgQMH4vLly1ys5ubmMkkxAMjOzgaPx8Pt27dbtGZ/f39s2LABTk5OMDU1xeTJk+Hn54cjR460+L413J/GVaFisRirVq2Cv78/NDU1IRKJ8PXXX8uMyc3NhbOzMwQCATp27IiAgABUVFQovIZUKsXq1au5alEbGxt89913Mn3S09MxYMAA8Pl8dO7cGaGhoXj58iUAIDExER07dkRNTY3MmJEjR7YqkfjTTz9hzZo1iImJQUxMDAYNGgSRSIS+ffsiPDwcKSkpMv15PB4MDQ0hFArh4eGB4OBgpKWlobq6ukXXO3nyJPh8Puzs7GTOb9y4EbNmzYKpqanccVlZWairq8OKFStgZmaGPn36YMGCBcjOzkZtba3cMYwxrF+/HuHh4fDy8oK1tTUSExPx4MGDJlXMx44d4x7YJxaLsWHDBnzyySfQ1taWO/fFixfh6OiIiRMnQiwWY+jQoZgwYQIyMzMVrt3d3R3x8fEYOnQoTE1N8fHHH2PBggVN3p+enp745ZdfUFhYqHAuQgghhBBCCCHkn4ASwoT8jQ4fPozY2Fhs27YNt27dwtGjR/Hhhx8CqN8SwcjICMuWLUNJSQlKSkoAAIWFhXB3d8eYMWNw7do1HDp0CBkZGTLVtbW1tVi+fDlycnJw9OhR3LlzB76+vk2uHxoaiqioKNy4cQPW1tb47LPPcPjwYezevRtXrlyBubk5JBIJnjx5Ah6PB39/f8THx8vMER8fj8GDB8Pc3PyN70NZWdlbqfiNjo5Gv379cPXqVQQGBmLmzJkoKCgAUF/BLZFI0KFDB1y+fBnffvst0tLSmq1KXr16NRITE7F161Zcv34dISEhmDx5MtLT0wEA9+/fx7Bhw9C/f3/k5OQgLi4OO3fuxIoVKwAA3t7eqKurQ3JyMjfnw4cPceLECfj7+7d4XQcOHICGhgYCAwPltjf+Y4E8AoEAUqmUS1S/zvnz59G3b98Wx9egb9++UFJSQnx8POrq6lBWVoY9e/bA1dUVKioqAOq3ZODxeDh79iyA+qri0tJSuLq6cvNoa2vD1tYWly5d4s5JpVIcP34cXl5eLY7HwcEBWVlZXAL4v//9L06ePIlhw4ZxfRq22GiOvPenSCRCp06dcP78eYXjampqUF5eLvMihBBCCCGEEELeN5QQJuRvVFxcDENDQ7i6ukIkEmHAgAGYPn06gPotEZSVlbkqX0NDQwD1ScpJkyZh7ty5sLCwgIODAzZu3IjExERub1R/f394eHjA1NQUdnZ22LhxI1JSUppUwy5btgxubm4wMzMDn89HXFwc1q5dCw8PD1hZWWH79u0QCATYuXMngPqvyRcUFHAJttraWuzfv79Vyc1XXbx4EYcOHUJAQMAbz9Fg2LBhCAwMhLm5ORYtWgQ9PT2cOXMGQP32Ac+fP0diYiI++OADODs7Y/PmzdizZw9+//33JnPV1NRg1apV2LVrFyQSCUxNTeHr64vJkydj27ZtAIAtW7bA2NgYmzdvRvfu3TFy5EgsXboU0dHRkEqlEAgEmDhxokwSfe/evRCJRBgyZEiL13Xz5k2YmprKbOkRExMDDQ0N7lVWViZ37K1bt7B161auYrwl7t69C6FQ2OL4GnTt2hU//vgjFi9eDD6fDx0dHfz222/45ptvuD4qKiqwtLRE+/btAQClpaUAgE6dOsnM1alTJ64NqK+SBgBbW9sWxzNx4kQsW7YMAwcOhIqKCszMzDBkyBAsXryY66OtrQ1LS0uFc9y+fRubNm3Cp59+2qRNKBTi7t27CseuXr0a2tra3MvY2LjFsRNCCCGEEEIIIX8XSggT8o6sWrVKJoFXXFwMb29vVFdXw9TUFNOnT0dSUtJrqzhzcnKQkJAgM5dEIoFUKkVRURGA+q/ue3p6QiQSQVNTE05OTgDqE9CN9evXj/t3YWEhamtr4ejoyJ1TUVHBgAEDcOPGDQD1CbDhw4dj165dAIDvv/8eNTU18Pb2lhurh4cHF2PPnj2btOfl5cHLywsREREYOnQoF2Pjta1atarZ+9GYtbU19++GbRMatsq4ceMGbGxsoK6uzvVxdHSEVCrlqogbu337NqqqquDm5iYTT2JiIrdNwI0bN2Bvby9TYero6IiKigr89ttvAIDp06fjxx9/xP379wHUV6Q27GP7qvPnz8tcq7mHlvn7+yM7Oxvbtm1DZWUlGGNcW1lZGTQ0NNC+fXtYWlqiU6dOrXoAWnV1tczevS1VWlqK6dOnw8fHB5cvX0Z6ejpUVVXxf//3f1x8Xbp0wa+//ooBAwa0au5jx45hxIgRUFJq+f+mzp49i1WrVmHLli24cuUKjhw5ghMnTsg8jHDUqFH49ddf5Y6/f/8+3N3d4e3tzf2hpjGBQICqqiqF1w8LC0NZWRn3unfvXotjJ4QQQgghhBBC/i70UDlC3pEZM2Zg7Nix3LFQKES7du1QUFCAtLQ0pKamIjAwEGvXrkV6ejr3FftXVVRU4NNPP+X2Gm5MJBJxWyNIJBLs27cP+vr6KC4uhkQiwYsXL2T6N06OttS0adMwZcoUxMbGIj4+HuPGjeOqPV+1Y8cObt/aV9eTn58PFxcXBAQEIDw8nDsvFAqRnZ3NHbdmK4lXr8Hj8SCVSls8vrGGauoTJ06gS5cuMm18Pr/F8/Tu3Rs2NjZITEzE0KFDcf36dZw4If8BPv369ZNZe0PVrIWFBTIyMlBbW8utUUdHh6vAfZWmpiauXLkCJSUldO7cGQKBoMXxAoCenh6ePn3aqjEA8NVXX0FbWxtr1qzhzjU8PPDnn39usicxAK7y/ffff0fnzp2587///jt69erFHScnJyMqKqpV8SxZsgRTpkzBtGnTAAAffvghKisrERAQgM8//7zZ5PKDBw/w0UcfwcHBocle1A2ePHkCfX19hXPw+fxWvVcIIYQQQgghhJC2QAlhQt4RXV1duclNgUAAT09PeHp6YtasWejevTtyc3PRp08fqKqqoq6uTqZ/nz59kJ+fr3DP3tzcXDx+/BhRUVHcV9R/+eWX18ZnZmYGVVVVXLhwASYmJgDqt4S4fPmyzMPbhg0bBnV1dcTFxeHUqVM4d+6cwjlfTaQ2uH79OpydneHj44OVK1fKtLVr1+4v7UesSI8ePZCQkIDKykouEX7hwgUoKSnJ3TLAysoKfD4fxcXFXIW1vDkPHz4MxhhX8XvhwgVoamrCyMiI6zdt2jSsX78e9+/fh6urq8KtAwQCgdy1T5gwAZs2bcKWLVswZ86c165VSUnpL93D3r17Y+/eva0eV1VV1STJqqysDAAKE/Ndu3aFoaEh/vOf/3AJ4PLycvz888+YOXMmgPptL+7evQs3N7e3Fk/jiupX3b9/Hx999BH69u2L+Ph4uYnj58+fo7CwEL17925VTIQQQgghhBBCyPuGEsKEvKGKigrcvn2bOy4qKkJ2djZ0dXUhEonkjklISEBdXR1sbW3Rvn177N27FwKBgEvIisVinDt3DuPHjwefz4eenh4WLVoEOzs7BAUFYdq0aVBXV0d+fj5SU1OxefNmiEQiqKqqYtOmTZgxYwby8vJkviKviLq6OmbOnImFCxdyMa9ZswZVVVWYOnUq109ZWRm+vr4ICwuDhYUF7O3tW3Wf8vLy4OzsDIlEgnnz5nH7xCorKzdbbflXTZo0CREREfDx8UFkZCQePXqE2bNnY8qUKU32rwXqq2wXLFiAkJAQSKVSDBw4EGVlZbhw4QK0tLTg4+ODwMBArF+/HrNnz0ZQUBAKCgoQERGBefPmySQRJ06ciAULFmD79u1ITExsdez29vaYP38+5s+fj7t372L06NEwNjZGSUkJdu7cCR6P16qtFF5HIpEgLCwMT58+RYcOHbjzt2/fRkVFBUpLS1FdXc1VM1tZWUFVVRXDhw9HbGwsli1bhgkTJuDPP//E4sWLYWJiwiVO79+/DxcXFyQmJmLAgAHg8XiYO3cuVqxYAQsLC3Tt2hVLliyBUCjEyJEjAdRvF+Hq6tqkEr3h+hUVFXj06BGys7OhqqoKKysrAICnpydiYmLQu3dv2Nra4vbt21iyZAk8PT25xHBSUhLCwsK4bSPu37+PIUOGwMTEBOvWrcOjR4+46zVUMwP1exrz+fxWv/8JIeR9cydqeFuHQAghhBBC2hojhLyRM2fOMABNXj4+PgrHJCUlMVtbW6alpcXU1dWZnZ0dS0tL49ovXbrErK2tGZ/PZ40/npmZmczNzY1paGgwdXV1Zm1tzVauXMm179+/n4nFYsbn85m9vT1LTk5mANjVq1dlYn369KlMPNXV1Wz27NlMT0+P8fl85ujoyDIzM5vEXVhYyACwNWvWNGkDwJKSkhSuOSIiQu59MjExUTiGMcZ8fHyYl5cXd+zk5MTmzJnDHZuYmLDY2FiZMTY2NiwiIoI7vnbtGvvoo4+Ympoa09XVZdOnT2d//vmnwmtIpVK2fv16ZmlpyVRUVJi+vj6TSCQsPT2d63P27FnWv39/pqqqygwNDdmiRYtYbW1tk/inTJnCdHV12fPnz5vcDxsbm2bX3uDQoUNsyJAhTFtbm6moqDAjIyM2ceJE9tNPP3F94uPjmba2drPzvO5nxBhjAwYMYFu3bpU55+TkJPdnV1RUxPU5cOAA6927N1NXV2f6+vrs448/Zjdu3ODai4qKGAB25swZ7pxUKmVLlixhnTp1Ynw+n7m4uLCCggKufeDAgWz79u1y19Hc+6i2tpZFRkYyMzMzpqamxoyNjVlgYKDM+z4+Pl7ms9VwLO/VWEBAAPv000+bvYevKisrYwBYWVlZq8YRQgghhBBCCCFvoqW/h/IYa+Z7tIQQgvqHn7m4uODevXtyq2tJUy4uLujZsyc2btzY1qG0yIkTJ7Bw4ULk5eW91erj1vrjjz/QuXNn/Pbbb+/Ne+2PP/6ApaUlfvnlF3Tt2rXF48rLy6GtrY2ysjJoaWm9wwgJIYQQQgghhJCW/x5KW0YQQhSqqanBo0ePEBkZCW9v7/cmQfc+e/r0Kc6ePYuzZ89iy5YtbR1Oiw0fPhy3bt3C/fv3Fe55/Hd48uQJYmJi3qv32p07d7Bly5ZWJYMJIYQQQgghhJD3FVUIE0IUSkhIwNSpU9GrVy8kJycrfGgc+f+JxWI8ffoUS5YswYIFC9o6HNKGqEKYEEIIIYQQQsjfqaW/h7bd94IJIe8lHo+Ho0ePAgB8fX1RV1eHrKysv5wM9vX15R4aBgBDhgzB3Llz/9Kcr7vG3yEyMhK9evXiju/cuYOysrL3Mhn8n//8Bz169EBdXV1bh/LeCQ0NxezZs9s6DEIIIYQQQggh5J2jhDAh/8+5c+fg6ekJoVAokxT9K8RiMdavX/+X53mf5OTkYMKECTA2NoZAIECPHj2wYcOGVs9z5MgRLF++/B1E+P46fPgwnJ2d0aFDBwgEAlhaWsLf3x9Xr17l+iQkJIDH44HH40FJSQlGRkbw8/PDw4cPuT4N7a++Dh482Oz1P/vsM4SHh0NZWRkAUFJSgokTJ6Jbt25QUlJSmKBfv349LC0tIRAIYGxsjJCQEDx//rzZaz158gSTJk2ClpYWdHR0MHXqVFRUVDTpl56ezm1R0ZLPYEVFBYKCgmBkZASBQAArKyts3bq12VjOnj0LLy8vdO7cGerq6ujVqxf27dsn02fBggXYvXs3/vvf/zYZn5CQgISEhGavQQghhBBCCCGE/FPQHsKE/D+VlZWwsbGBv78/Ro8e3dbhtApjDHV1dWjX7t1/pLOysmBgYIC9e/fC2NgYFy9eREBAAJSVlREUFNTieXR1dd9hlO+fRYsWITo6GsHBwVi6dClMTEzw6NEjpKSkICwsDKdOneL6amlpoaCgAFKpFDk5OfDz88ODBw/www8/cH3i4+Ph7u4ucw0dHR2F18/IyEBhYSHGjBnDnaupqYG+vj7Cw8MRGxsrd9z+/fsRGhqKXbt2wcHBATdv3oSvry94PB5iYmIUXm/SpEkoKSlBamoqamtr4efnh4CAAOzfv1+m37Fjx+Dp6QmgZZ/BefPm4fTp09i7dy/EYjF+/PFHBAYGQigU4uOPP5Y75uLFi7C2tsaiRYvQqVMnHD9+HJ988gm0tbUxYsQIAICenh4kEgni4uKwdu1aAEBsbCymTZvGzfPnn39ix44dCAkJUbhuQgh534lDT7R6zJ2o4e8gEkIIIYQQ0laoQpiQ/8fDwwMrVqzAqFGjWjyGMYbIyEiIRCLw+XwIhUIEBwcDqN8S4e7duwgJCeEqOBtkZGRg0KBBXMVlcHAwKisrufY9e/agX79+0NTUhKGhISZOnChTIXr27FnweDykpKSgb9++4PP5yMjIQE1NDYKDg2FgYAA1NTUMHDgQly9f5mI1NzfHunXrZNaQnZ0NHo+H27dvt2jN/v7+2LBhA5ycnGBqaorJkyfDz88PR44cafF9a7g/jStSxWIxVq1aBX9/f2hqakIkEuHrr7+WGZObmwtnZ2cIBAJ07NgRAQEBcqtOG0ilUqxevRpdu3aFQCCAjY0NvvvuO5k+6enpGDBgAPh8Pjp37ozQ0FC8fPkSAJCYmIiOHTuipqZGZszIkSMxZcqUFq/1p59+wpo1axATE4OYmBgMGjQIIpEIffv2RXh4OFJSUmT683g8GBoaQigUwsPDA8HBwUhLS0N1dTXXR0dHB4aGhjIvNTU1hTEcPHgQbm5uMn3EYjE2bNjAJUfluXjxIhwdHTFx4kSIxWIMHToUEyZMQGZmpsJr3bhxA6dOncKOHTtga2uLgQMHYtOmTTh48CAePHgg0zc5OZlL5LbkM3jx4kX4+PhgyJAhEIvFCAgIgI2NTbPxLF68GMuXL4eDgwPMzMwwZ84cuLu7N3nPenp6ylRZd+jQAW5ubsjIyEBGRgbc3NzQoUMHhdchhBBCCCGEEEL+CSghTMhfcPjwYcTGxmLbtm24desWjh49ig8//BBA/ZYIRkZGWLZsGUpKSlBSUgIAKCwshLu7O8aMGYNr167h0KFDyMjIkKmura2txfLly5GTk4OjR4/izp078PX1bXL90NBQREVF4caNG7C2tsZnn32Gw4cPY/fu3bhy5QrMzc0hkUjw5MkT8Hg8+Pv7Iz4+XmaO+Ph4DB48GObm5m98H8rKyt5KxW90dDT69euHq1evIjAwEDNnzkRBQQGA+upRiUSCDh064PLly/j222+RlpbWbFXy6tWrkZiYiK1bt+L69esICQnB5MmTkZ6eDgC4f/8+hg0bhv79+yMnJwdxcXHYuXMnVqxYAQDw9vZGXV0dkpOTuTkfPnyIEydOwN/fv8XrOnDgADQ0NBAYGCi3vfEfC+QRCASQSqVcovpNnD9/Hv369Wv1OAcHB2RlZXEJ1//+9784efIkhg0bxvVp2OaiwaVLl6CjoyNzPVdXVygpKeHnn3/mzl2/fh0PHz6Es7Nzq+JJTk7G/fv3wRjDmTNncPPmTQwdOpTr4+vriyFDhjQ7j7z37IABA/Dbb7/hzp073DzffPMNjh8/juPHj+Obb76R+zlsUFNTg/LycpkXIYQQQgghhBDyvqGEMCF/QXFxMQwNDeHq6gqRSIQBAwZg+vTpAOq3RFBWVuaqfA0NDQHUJyknTZqEuXPnwsLCAg4ODti4cSMSExO5fVn9/f3h4eEBU1NT2NnZYePGjUhJSWlSDbts2TK4ubnBzMwMfD6f+7q7h4cHrKyssH37dggEAuzcuRNAfYKroKCAS+7V1tZi//79rUpuvurixYs4dOgQAgIC3niOBsOGDUNgYCDMzc2xaNEi6Onp4cyZMwDqty54/vw5EhMT8cEHH8DZ2RmbN2/Gnj178PvvvzeZq6amBqtWrcKuXbsgkUhgamoKX19fTJ48Gdu2bQMAbNmyBcbGxti8eTO6d++OkSNHYunSpYiOjoZUKoVAIMDEiRNlkuh79+6FSCR6bcKxsZs3b8LU1FRmS4+YmBhoaGhwr7KyMrljb926ha1bt3IV4w0mTJggM15DQwPFxcUKY7h79y6EQmGLY24wceJELFu2DAMHDoSKigrMzMwwZMgQLF68mOujra0NS0tL7ri0tBQGBgYy87Rr1w66urooLS3lzh07dgwSiQSqqqotjmfTpk2wsrKCkZERVFVV4e7ujq+++gqDBw/m+nTu3BkikUjhHN988w0uX74MPz8/mfMN9+fu3bsA6n/WY8eOxfDhwzF8+HCMHTsWe/fuVTjv6tWroa2tzb0a9kYmhBBCCCGEEELeJ5QQJqSFVq1a1ST55u3tjerqapiammL69OlISkp6bRVnTk4OEhISZOaSSCSQSqUoKioCUL9Pr6enJ0QiETQ1NeHk5AQATRJ+jSswCwsLUVtbC0dHR+6ciooKBgwYgBs3bgCoT3gNHz4cu3btAgB8//33qKmpgbe3t9xYPTw8uBh79uzZpD0vLw9eXl6IiIjgKjSLi4tl1rZq1apm70dj1tbW3L8btk1o2Crjxo0bsLGxgbq6OtfH0dERUqmUqyJu7Pbt26iqqoKbm5tMPImJiSgsLOTmtLe3l6ludXR0REVFBX777TcAwPTp0/Hjjz/i/v37AOqrYRv20H3V+fPnZa716oPLGvP390d2dja2bduGyspKMMa4trKyMmhoaKB9+/awtLREp06dmswVGxuL7OxsmVdzCd/q6upmt5RQ5OzZs1i1ahW2bNmCK1eu4MiRIzhx4oTMAwFHjRqFX3/9tdVzHzt2TOG+v4ps2rQJP/30E5KTk5GVlYXo6GjMmjULaWlpXJ+GynB5zpw5Az8/P2zfvr3Je1ogEAAAqqqqANRXg6empmLQoEEYNGgQUlNTZbZueVVYWBjKysq4171791q1NkIIIYQQQggh5O9AD5UjpIVmzJiBsWPHcsdCoRDt2rVDQUEB0tLSkJqaisDAQKxduxbp6elQUVGRO09FRQU+/fRTbq/hxkQiEbc1gkQiwb59+6Cvr4/i4mJIJBK8ePFCpn/j5GhLTZs2DVOmTEFsbCzi4+Mxbtw4tG/fXm7fHTt2cPvWvrqe/Px8uLi4ICAgAOHh4dx5oVCI7Oxs7rg1W0m8eg0ejwepVNri8Y01VFOfOHECXbp0kWnj8/ktnqd3796wsbFBYmIihg4diuvXr+PECfkP5OnXr5/M2jt16gQAsLCwQEZGBmpra7k16ujoQEdHh0s8N6apqYkrV65ASUkJnTt35hKVjRkaGrZqmw89PT08ffq0xf0bLFmyBFOmTOEervbhhx+isrISAQEB+Pzzz6Gk1PTvio0T+Q1evnyJJ0+ecJXyJSUluHr1KoYPb/mDiqqrq7F48WIkJSVx46ytrZGdnY1169bB1dW12fHp6enw9PREbGwsPvnkkybtT548AQDo6+sDqH+AXWOamppNzjXG5/Nb9d4ihBBCCCGEEELaAiWECWkhXV1duclNgUAAT09PeHp6YtasWejevTtyc3PRp08fqKqqoq6uTqZ/nz59kJ+frzCZl5ubi8ePHyMqKor7yvkvv/zy2vjMzMygqqqKCxcuwMTEBED9lhCXL1+WeXjbsGHDoK6ujri4OJw6dQrnzp1TOOeridQG169fh7OzM3x8fLBy5UqZtnbt2v2l/YgV6dGjBxISElBZWcklwi9cuAAlJSWZ7QoaWFlZgc/no7i4mKuwljfn4cOHwRjjKn4vXLgATU1NGBkZcf2mTZuG9evX4/79+3B1dVW4FYBAIJC79gkTJmDTpk3YsmUL5syZ89q1KikpvfV72Lt3b+Tn57d6XFVVVZOkr7KyMgDIVDU3Zm9vj2fPniErKwt9+/YFAJw+fRpSqRS2trYA6qvTHRwcWvUHg9raWtTW1sqN53V/ODh79ixGjBiBL7/8UuH2Jnl5eVBRUWlSOdzcvsGEEEIIIYQQQsg/DSWECfl/KioqcPv2be64qKgI2dnZ0NXVVbgfaUJCAurq6mBra4v27dtj7969EAgEXEJWLBbj3LlzGD9+PPh8PvT09LBo0SLY2dkhKCgI06ZNg7q6OvLz85GamorNmzdDJBJBVVUVmzZtwowZM5CXlyfz9XxF1NXVMXPmTCxcuJCLec2aNaiqqsLUqVO5fsrKyvD19UVYWBgsLCxgb2/fqvuUl5cHZ2dnSCQSzJs3j9sTVllZmausfBcmTZqEiIgI+Pj4IDIyEo8ePcLs2bMxZcoUrhK3MU1NTSxYsAAhISGQSqUYOHAgysrKcOHCBWhpacHHxweBgYFYv349Zs+ejaCgIBQUFCAiIgLz5s2TSTpOnDgRCxYswPbt2xVuRdAce3t7zJ8/H/Pnz8fdu3cxevRoGBsbo6SkBDt37gSPx5NbaducZ8+eyezH27BmRVXjEokEu3fvbnK+oaK5oqICjx49QnZ2NlRVVWFlZQUA8PT0RExMDHr37g1bW1vcvn0bS5YsgaenJ5cYTkpKQlhYGLdtRI8ePeDu7o7p06dj69atqK2tRVBQEMaPH89ta5GcnNxku4jXfQa1tLTg5OSEhQsXcp+z9PR0JCYmIiYmhhsXFhaG+/fvcz+rM2fOYMSIEZgzZw7GjBnD3TdVVVWZhPT58+cxaNAguRXZhBDyb3EnquXfzCCEEEIIIf9SjBDCGGPszJkzDECTl4+Pj8IxSUlJzNbWlmlpaTF1dXVmZ2fH0tLSuPZLly4xa2trxufzWeOPW2ZmJnNzc2MaGhpMXV2dWVtbs5UrV3Lt+/fvZ2KxmPH5fGZvb8+Sk5MZAHb16lWZWJ8+fSoTT3V1NZs9ezbT09NjfD6fOTo6sszMzCZxFxYWMgBszZo1TdoAsKSkJIVrjoiIkHufTExMFI5hjDEfHx/m5eXFHTs5ObE5c+ZwxyYmJiw2NlZmjI2NDYuIiOCOr127xj766COmpqbGdHV12fTp09mff/6p8BpSqZStX7+eWVpaMhUVFaavr88kEglLT0/n+pw9e5b179+fqaqqMkNDQ7Zo0SJWW1vbJP4pU6YwXV1d9vz58yb3w8bGptm1Nzh06BAbMmQI09bWZioqKszIyIhNnDiR/fTTT1yf+Ph4pq2t3ew88u4/ALZ69WqFYx4/fszU1NTYr7/++tq5Gv8sa2trWWRkJDMzM2NqamrM2NiYBQYGyrz34uPj2av/O3n8+DGbMGEC09DQYFpaWszPz4/7WVVUVDA1NTV269YtmTEt+QyWlJQwX19fJhQKmZqaGrO0tGTR0dFMKpVyfXx8fJiTk5PMsbx5G/dhjDFLS0t24MABhfewtcrKyhgAVlZW9tbmJIQQQgghhBBCFGnp76E8xhR855cQ8q91/vx5uLi44N69e3Kra0lTLi4u6NmzJzZu3NjWobyxhQsXory8HNu2bWvTOI4cOYLw8PA32sLiXUlJScH8+fNx7do1tGv3dr48U15eDm1tbZSVlUFLS+utzEkIIYQQQgghhCjS0t9DW/cdZULIP1pNTQ1+++03REZGwtvbm5LBLfD06VMkJSXh7NmzmDVrVluH85d8/vnnMDExeeMH9b0tGhoa+PLLL9s0hldVVlYiPj7+rSWDCSGEEEIIIYSQ9xUlhAn5H3LgwAGYmJjg2bNnWLNmTZN2Ho+Ho0ePvvXr+vr6YuTIkdzxkCFDZB509y6u8bb07t0bvr6++PLLL5s8vC4yMhK9evV669d8V7KysrBnzx6FD4P7uwwdOhSenp5tGsOrfvnlF+zdu7etwyCEEEIIIYQQQt45SggTAuDcuXPw9PSEUCh8a0lRsViM9evX/+V53iZfX1/U1dUhKysLXbp0afX4nJwcTJgwAcbGxhAIBOjRowc2bNjQ6nmOHDnSogflvQ/u3LmDsrIyLFiw4C/Nc/jwYTg7O6NDhw4QCASwtLSEv78/rl69yvVJSEgAj8fjHjJnZGQEPz8/PHz4UGauM2fOYNiwYejYsSPat28PKysrzJ8/H/fv3282hs8++wzh4eHcw+BKSkowceJEdOvWDUpKSgqT9OvXr4elpSUEAgGMjY0REhKC58+fN3utJ0+eYNKkSdDS0oKOjg6mTp2KioqKJv3S09NhbGwMoGWfw4qKCgQFBcHIyAgCgQBWVlbYunVrs7GcPXsWXl5e6Ny5M9TV1dGrVy/s27dPps+CBQuwe/du/Pe//20yPiEhAQkJCc1egxBCCCGEEEII+aeg78YSgvqvi9vY2MDf3x+jR49u63BahTGGurq6v+Wr7llZWTAwMMDevXthbGyMixcvIiAgAMrKyggKCmrxPLq6uu8wyvfPokWLEB0djeDgYCxduhQmJiZ49OgRUlJSEBYWhlOnTnF9tbS0UFBQAKlUipycHPj5+eHBgwf44YcfAADbtm1DYGAgfHx8cPjwYYjFYhQXFyMxMRHR0dGIiYmRG0NGRgYKCwsxZswY7lxNTQ309fURHh6O2NhYueP279+P0NBQ7Nq1Cw4ODrh58yZ8fX3B4/EUXgsAJk2ahJKSEqSmpqK2thZ+fn4ICAjA/v37ZfodO3aMqxZuyedw3rx5OH36NPbu3QuxWIwff/wRgYGBEAqF+Pjjj+WOuXjxIqytrbFo0SJ06tQJx48fxyeffAJtbW2MGDECAKCnpweJRIK4uDisXbsWABAbG4tp06Zx8/z555/YsWMHQkJCFK6bEELed+LQE3/7Ne9EDf/br0kIIYQQQhSjCmFCAHh4eGDFihUYNWpUi8cwxhAZGQmRSAQ+nw+hUIjg4GAA9Vsi3L17FyEhIVzFZ4OMjAwMGjSIq7YMDg5GZWUl175nzx7069cPmpqaMDQ0xMSJE2UqRM+ePQsej4eUlBT07dsXfD4fGRkZqKmpQXBwMAwMDKCmpoaBAwfi8uXLXKzm5uZYt26dzBqys7PB4/Fw+/btFq3Z398fGzZsgJOTE0xNTTF58mT4+fnhyJEjLb5vDfencTWqWCzGqlWr4O/vD01NTYhEInz99dcyY3Jzc+Hs7AyBQICOHTsiICBAbsVpA6lUitWrV6Nr164QCASwsbHBd999J9MnPT0dAwYMAJ/PR+fOnREaGoqXL18CABITE9GxY0fU1NTIjBk5ciSmTJnS4rX+9NNPWLNmDWJiYhATE4NBgwZBJBKhb9++CA8PR0pKikx/Ho8HQ0NDCIVCeHh4IDg4GGlpaaiursZvv/2G4OBgBAcHY9euXRgyZAjEYjEGDx6MHTt24IsvvlAYx8GDB+Hm5gY1NTXunFgsxoYNG7jkqDwXL16Eo6MjJk6cCLFYjKFDh2LChAnIzMxUeK0bN27g1KlT2LFjB2xtbTFw4EBs2rQJBw8exIMHD2T6Jicnc4nclnwOL168CB8fH27tAQEBsLGxaTaexYsXY/ny5XBwcICZmRnmzJkDd3f3Ju9bT09PHDx4kDvu0KED3NzckJGRgYyMDLi5uaFDhw4Kr0MIIYQQQgghhPwTUEKYkDd0+PBhxMbGYtu2bbh16xaOHj2KDz/8EED9lghGRkZYtmwZSkpKUFJSAgAoLCyEu7s7xowZg2vXruHQoUPIyMiQqa6tra3F8uXLkZOTg6NHj+LOnTvw9fVtcv3Q0FBERUXhxo0bsLa2xmeffYbDhw9j9+7duHLlCszNzSGRSPDkyRPweDz4+/sjPj5eZo74+HgMHjwY5ubmb3wfysrK3krFb3R0NPr164erV68iMDAQM2fOREFBAYD6ylGJRIIOHTrg8uXL+Pbbb5GWltZsVfLq1auRmJiIrVu34vr16wgJCcHkyZORnp4OALh//z6GDRuG/v37IycnB3Fxcdi5cydWrFgBAPD29kZdXR2Sk5O5OR8+fIgTJ07A39+/xes6cOAANDQ0EBgYKLe98R8L5BEIBJBKpXj58iW+/fZbvHjxAp999pncvjo6OgrnOX/+PPr169fiuBs4ODggKyuLS7j+97//xcmTJzFs2DCuT8NWFw0uXboEHR0dmeu5urpCSUkJP//8M3fu+vXrePjwIZydnVsVT3JyMu7fvw/GGM6cOYObN29i6NChXB9fX18MGTKk2XnkvW8HDBiA3377DXfu3OHm+eabb3D8+HEcP34c33zzjdzPIiGEEEIIIYQQ8k9CCWFC3lBxcTEMDQ3h6uoKkUiEAQMGYPr06QDqt0RQVlbmqnwNDQ0B1CcpJ02ahLlz58LCwgIODg7YuHEjEhMTuT1Z/f394eHhAVNTU9jZ2WHjxo1ISUlpUg27bNkyuLm5wczMDHw+n/uqu4eHB6ysrLB9+3YIBALs3LkTQH1yq6CggEvs1dbWYv/+/a1Kbr7q4sWLOHToEAICAt54jgbDhg1DYGAgzM3NsWjRIujp6eHMmTMA6rcteP78ORITE/HBBx/A2dkZmzdvxp49e/D77783maumpgarVq3Crl27IJFIYGpqCl9fX0yePBnbtm0DAGzZsgXGxsbYvHkzunfvjpEjR2Lp0qWIjo6GVCqFQCDAxIkTZZLoe/fuhUgkem2ysbGbN2/C1NRUZkuPmJgYaGhocK+ysjK5Y2/duoWtW7dyFeO3bt2ClpYWOnfu3OLrN7h79y6EQmGrx02cOBHLli3DwIEDoaKiAjMzMwwZMgSLFy/m+mhra8s8cK+0tBQGBgYy87Rr1w66urooLS3lzh07dgwSiQSqqqotjmfTpk2wsrKCkZERVFVV4e7ujq+++gqDBw/m+nTu3BkikUjhHN988w0uX74MPz8/mfMN9+fu3bsA6n/eY8eOxfDhwzF8+HCMHTu22QfP1dTUoLy8XOZFCCGEEEIIIYS8byghTEgLrFq1SiaBV1xcDG9vb1RXV8PU1BTTp09HUlISt92AIjk5OUhISJCZSyKRQCqVoqioCED9Pr2enp4QiUTQ1NSEk5MTgPoEdGONqy8LCwtRW1sLR0dH7pyKigoGDBiAGzduAKhPdg0fPhy7du0CAHz//feoqamBt7e33Fg9PDy4GHv27NmkPS8vD15eXoiIiOCqM4uLi2XWtmrVqmbvR2PW1tbcvxu2TWjYKuPGjRuwsbGBuro618fR0RFSqZSrIm7s9u3bqKqqgpubm0w8iYmJKCws5Oa0t7eXqWx1dHRERUUFfvvtNwDA9OnT8eOPP3IPa0tISOD2z33V+fPnZa716kPLGvP390d2dja2bduGyspKMMa4trKyMmhoaKB9+/awtLREp06duLkYY6+tKFakurpaZruIljp79ixWrVqFLVu24MqVKzhy5AhOnDgh81DAUaNG4ddff2313MeOHVO4768imzZtwk8//YTk5GRkZWUhOjoas2bNQlpaGtenoTpcnjNnzsDPzw/bt29v8r4WCAQAgKqqKgD1FeGpqakYNGgQBg0ahNTU1CYP+Gts9erV0NbW5l4ND8sjhBBCCCGEEELeJ/RQOUJaYMaMGRg7dix3LBQK0a5dOxQUFCAtLQ2pqakIDAzE2rVrkZ6eDhUVFbnzVFRU4NNPP+X2Gm5MJBJxWyNIJBLs27cP+vr6KC4uhkQiwYsXL2T6N06OttS0adMwZcoUxMbGIj4+HuPGjUP79u3l9t2xYweqq6sBoMl68vPz4eLigoCAAISHh3PnhUIhsrOzuePWbCXx6jV4PB6kUmmLxzfWUE194sQJdOnSRaaNz+e3eJ7evXvDxsYGiYmJGDp0KK5fv44TJ+Q/jKdfv34ya+/UqRMAwMLCAhkZGaitreXWqKOjAx0dHS7x3JimpiauXLkCJSUldO7cmUtSAkC3bt1QVlaGkpKSVlcJ6+np4enTp60aAwBLlizBlClTuIerffjhh6isrERAQAA+//xzKCk1/bti42R+g5cvX+LJkydctXxJSQmuXr2K4cNb/qCh6upqLF68GElJSdw4a2trZGdnY926dXB1dW12fHp6Ojw9PREbG4tPPvmkSfuTJ08AAPr6+gDqH2DXmKamZpNzjYWFhcm0l5eXU1KYEEIIIYQQQsh7hxLChLSArq6u3OSmQCCAp6cnPD09MWvWLHTv3h25ubno06cPVFVVUVdXJ9O/T58+yM/PV7hnb25uLh4/foyoqCgukfTLL7+8Nj4zMzOoqqriwoULMDExAVC/JcTly5dlHt42bNgwqKurIy4uDqdOncK5c+cUzvlqIrXB9evX4ezsDB8fH6xcuVKmrV27dn9pP2JFevTogYSEBFRWVnKJ8AsXLkBJSUlmq4IGVlZW4PP5KC4u5iqs5c15+PBhmarbCxcuQFNTE0ZGRly/adOmYf369bh//z5cXV0VJvgEAoHctU+YMAGbNm3Cli1bMGfOnNeuVUlJSeE9/L//+z+EhoZizZo1iI2NbdL+7NkzhfsI9+7dG/n5+a+9/quqqqqaJH2VlZUBQKayuTF7e3s8e/YMWVlZ6Nu3LwDg9OnTkEqlsLW1BVBfoe7g4NCqPxrU1taitrZWbjyv++PB2bNnMWLECHz55ZcKtzjJy8uDiopKk8rhlu4bzOfzW/UHB0IIIYQQQgghpC1QQpgQ1FeU3r59mzsuKipCdnY2dHV1Fe5FmpCQgLq6Otja2qJ9+/bYu3cvBAIBl5AVi8U4d+4cxo8fDz6fDz09PSxatAh2dnYICgrCtGnToK6ujvz8fKSmpmLz5s0QiURQVVXFpk2bMGPGDOTl5cl8NV8RdXV1zJw5EwsXLuRiXrNmDaqqqjB16lSun7KyMnx9fREWFgYLCwvY29u36j7l5eXB2dkZEokE8+bN4/aDVVZW5qoq34VJkyYhIiICPj4+iIyMxKNHjzB79mxMmTKFq8RtTFNTEwsWLEBISAikUikGDhyIsrIyXLhwAVpaWvDx8UFgYCDWr1+P2bNnIygoCAUFBYiIiMC8efNkEo4TJ07EggULsH37doXbEDTH3t4e8+fPx/z583H37l2MHj0axsbGKCkpwc6dO8Hj8eRW2cpjbGyM2NhYBAUFoby8HJ988gnEYjF+++03JCYmQkNDA9HR0XLHSiQS7N69u8n5hqrmiooKPHr0CNnZ2VBVVYWVlRUAwNPTEzExMejduzdsbW1x+/ZtLFmyBJ6enlxiOCkpCWFhYdy2ET169IC7uzumT5+OrVu3ora2FkFBQRg/fjy3T29ycnKT7SJe9znU0tKCk5MTFi5cyH3W0tPTkZiYiJiYGG5cWFgY7t+/z/28zpw5gxEjRmDOnDkYM2YM975VVVWVSUifP38egwYNkqnKJoSQf5s7US3/ZgYhhBBCCPmXYoQQdubMGQagycvHx0fhmKSkJGZra8u0tLSYuro6s7OzY2lpaVz7pUuXmLW1NePz+azxRy0zM5O5ubkxDQ0Npq6uzqytrdnKlSu59v379zOxWMz4fD6zt7dnycnJDAC7evWqTKxPnz6Viae6uprNnj2b6enpMT6fzxwdHVlmZmaTuAsLCxkAtmbNmiZtAFhSUpLCNUdERMi9TyYmJgrHMMaYj48P8/Ly4o6dnJzYnDlzuGMTExMWGxsrM8bGxoZFRERwx9euXWMfffQRU1NTY7q6umz69Onszz//VHgNqVTK1q9fzywtLZmKigrT19dnEomEpaenc33Onj3L+vfvz1RVVZmhoSFbtGgRq62tbRL/lClTmK6uLnv+/HmT+2FjY9Ps2hscOnSIDRkyhGlrazMVFRVmZGTEJk6cyH766SeuT3x8PNPW1n7tXKmpqUwikbAOHTowNTU11r17d7ZgwQL24MEDhWMeP37M1NTU2K+//ipz/nU/z9raWhYZGcnMzMyYmpoaMzY2ZoGBgTLvv/j4ePbq/04eP37MJkyYwDQ0NJiWlhbz8/Pjfl4VFRVMTU2N3bp1S2ZMSz6HJSUlzNfXlwmFQqampsYsLS1ZdHQ0k0qlXB8fHx/m5OQkcyxv3sZ9GGPM0tKSHThwQOE9bK2ysjIGgJWVlb21OQkhhBBCCCGEEEVa+nsojzEF3/klhPwrnT9/Hi4uLrh3757c6lrSlIuLC3r27ImNGze2dSh/ycKFC1FeXo5t27a1aRxHjhxBeHj4G21h8a6kpKRg/vz5uHbtGtq1eztfnikvL4e2tjbKysqgpaX1VuYkhBBCCCGEEEIUaenvoS37njIh5B+vpqYGv/32GyIjI+Ht7U3J4BZ4+vQpkpKScPbsWcyaNautw/nLPv/8c5iYmLzxw/reFg0NDXz55ZdtGsOrKisrER8f/9aSwYQQQgghhBBCyPuKKoQJ+R+RkJCAqVOnolevXkhOTlb40Djy/xOLxXj69CmWLFmCBQsWtHU45B+GKoQJIYQQQgghhPydqEKYkP8RPB4PR48efW0/X19f1NXVISsr671PBr9uTWfPngWPx8OzZ88U9klISICOjs5fiuPOnTsoKyt7q8ngyMhI9OrV663N97Y8fvwYBgYGuHPnTluH8t4JDQ3F7Nmz2zoMQgghhBBCCCHkraCEMPnHOnfuHDw9PSEUClucFH0dsViM9evX/+V53ic5OTmYMGECjI2NIRAI0KNHD2zYsKGtw/pLHBwcUFJSAm1t7bYO5Z06fPgwnJ2d0aFDBwgEAlhaWsLf3x9Xr17l+iQkJIDH44HH40FJSQlGRkbw8/PDw4cPuT4t+XysXLkSXl5eEIvF3Lng4GD07dsXfD5fYRL7hx9+gJ2dHTQ1NaGvr48xY8a8NqnMGMMXX3yBzp07QyAQwNXVFbdu3WrSr7q6Gurq6rh9+zaOHDkCNzc36OvrQ0tLC/b29vjhhx+ajPnqq68gFouhpqYGW1tbZGZmNhtLY7dv34ampmaTPyQsWLAAu3fvxn//+98Wz0UIIYQQQgghhLyvaLNE8o9VWVkJGxsb+Pv7Y/To0W0dTqswxlBXV/e37FealZUFAwMD7N27F8bGxrh48SICAgKgrKyMoKCgt3qt2tpaqKiovNU55VFVVYWhoeE7v05bWrRoEaKjoxEcHIylS5fCxMQEjx49QkpKCsLCwnDq1Cmur5aWFgoKCiCVSpGTkwM/Pz88ePBAbsJUnqqqKuzcuVNuf39/f/z888+4du1ak7aioiJ4eXlh3rx52LdvH8rKyhASEoLRo0fjypUrCq+3Zs0abNy4Ebt370bXrl2xZMkSSCQS5OfnQ01NjeuXmpoKExMTmJubY/PmzXBzc8OqVaugo6OD+Ph4eHp64ueff0bv3r0BAIcOHcK8efOwdetW2NraYv369ZBIJCgoKICBgUGz96C2thYTJkzAoEGDcPHiRZk2PT09SCQSxMXFYe3atc3OQwj53yIOPdHWIbTanajhbR0CIYQQQghpY1QhTP6xPDw8sGLFCowaNarFYxhjiIyMhEgkAp/Ph1AoRHBwMABgyJAhuHv3LkJCQriKywYZGRkYNGgQBAIBjI2NERwcjMrKSq59z5496NevHzQ1NWFoaIiJEyfKVGg2bHGQkpLCVVxmZGSgpqYGwcHBMDAwgJqaGgYOHIjLly9zsZqbm2PdunUya8jOzgaPx8Pt27dbtGZ/f39s2LABTk5OMDU1xeTJk+Hn54cjR440O+7y5ctwc3ODnp4etLW14eTk1CTJx+PxEBcXh48//hjq6upYuXIl6urqMHXqVHTt2pWrapVXkbxr1y707NkTfD4fnTt3bpKc/uOPPzBq1Ci0b98eFhYWSE5ObnI/G28ZkZCQAJFIhPbt22PUqFF4/Phxk2vGxcXBzMwMqqqqsLS0xJ49e5qsZ8eOHQqvCwDp6ekYMGAAF3doaChevnwJAEhMTETHjh1RU1MjM2bkyJGYMmVKM3db1k8//YQ1a9YgJiYGMTExGDRoEEQiEfr27Yvw8HCkpKQ0idvQ0BBCoRAeHh4IDg5GWloaqqurW3S9kydPgs/nw87OTub8xo0bMWvWLJiamsodl5WVhbq6OqxYsQJmZmbo06cPFixYgOzsbNTW1sodwxjD+vXrER4eDi8vL1hbWyMxMREPHjxoUsV87NgxfPzxxwCA9evX47PPPkP//v1hYWGBVatWwcLCAt9//z3XPyYmBtOnT4efnx+srKywdetWtG/fHrt27XrtPQgPD0f37t0xduxYue2enp44ePDga+chhBBCCCGEEELed5QQJv9TDh8+jNjYWGzbtg23bt3C0aNH8eGHHwIAjhw5AiMjIyxbtgwlJSUoKSkBABQWFsLd3R1jxozBtWvXcOjQIWRkZMgkMGtra7F8+XLk5OTg6NGjuHPnDnx9fZtcPzQ0FFFRUbhx4wasra3x2Wef4fDhw9i9ezeuXLkCc3NzSCQSPHnyBDweD/7+/oiPj5eZIz4+HoMHD4a5ufkb34eysjLo6uo22+fPP/+Ej48PMjIy8NNPP8HCwgLDhg3Dn3/+KdMvMjISo0aNQm5uLvz9/SGVSmFkZIRvv/0W+fn5+OKLL7B48WJ888033Ji4uDjMmjULAQEByM3NRXJycpP1LF26FGPHjsW1a9cwbNgwTJo0CU+ePJEb688//4ypU6ciKCgI2dnZ+Oijj7BixQqZPklJSZgzZw7mz5+PvLw8fPrpp/Dz88OZM2dafN379+9j2LBh6N+/P3JychAXF4edO3dy1/L29kZdXZ1MEvnhw4c4ceIE/P39m73fjR04cAAaGhoIDAyU2974jxXyCAQCSKVSLlH9OufPn0ffvn1bHF+Dvn37QklJCfHx8airq0NZWRn27NkDV1dXrlL8zp074PF4OHv2LID6quLS0lK4urpy82hra8PW1haXLl3izkmlUhw/fhxeXl5yr/3/sXfncTXm7//AX6ftdOrUqaSSNq0SEhWVsVQjRdaJMKYkhDCWEDVlixESRoYxxVgyJlnHbpDKZMtIJjSyFjOWkmh9//7w6/52O+ekxpiYz/V8PM7j4dz3+/2+r/vdiYerq+uuqanB8+fPuc9xRUUFLly4wFtXQUEBnp6evHUDAwPRo0cP3lonTpzAzp078c0338i9V2dnZ9y7d496LBNCCCGEEEII+ehRywjyP+XOnTswMDDgElYmJiZwdnYGAOjo6EBRUZGr8q21ePFijBgxAl9++SUAwMrKCqtWrUL37t2RkJAAVVVVXrLP3Nwcq1atgpOTE0pLSyEWi7lz8+fPx6effgrgdcuLhIQEJCUlwdvbGwCwYcMGHD16FBs3bkRYWBgCAwPx1VdfISsrC87OzqisrMS2bdukqoYbIyMjAzt27MCBA/X/mqu7uzvv/fr166GlpYVTp06hb9++3PHhw4dj1KhRvLHz5s3j/tyqVStkZmbixx9/5KovFy5ciOnTp2PKlCncOCcnJ94agYGBGDZsGAAgJiYGq1atQlZWFnr37i0Va3x8PHr37o2ZM2cCAKytrZGRkcFrq7Bs2TIEBgZySdZp06bh7NmzWLZsGXr27Nmg665duxbGxsZYs2YNBAIBWrdujQcPHmDWrFn46quvIBKJMHz4cCQmJsLPzw8AsGXLFpiYmEglIetz/fp1mJub81qKrFixAl999RX3/v79+zJ7KN+4cQPr1q3jKtYb4vbt2zA0NGxwfLVatWqFI0eOYMiQIRg3bhyqq6vh4uKCn3/+mRujrKwMGxsbqKmpAQCKiooAAPr6+ry19PX1uXPA6yppAOjcubPMay9btgylpaXcZ+qvv/5CdXW1zHV///137n2LFi1QU1PDvX/8+DECAwOxZcuWep/AWrs/t2/f5vVZrqu8vJxXHV5SUiJ3PUIIIYQQQgghpKlQhTD5z4qJiYFYLOZed+7cgZ+fH16+fAlzc3OMGTMGqampb62ivHz5MpKSknhreXl5oaamBrdu3QLw+lfnfX19YWJiAg0NDXTv3h3A6wR0XY6Ojtyf8/PzUVlZCTc3N+6YsrIynJ2dce3aNQCvk1B9+vThfuV93759KC8v55KNb/L29uZitLOzkzqfk5OD/v37IyoqCr169eJirHtvMTExAICHDx9izJgxsLKygkQigaamJkpLS+u9p1rffPMNOnXqhObNm0MsFmP9+vXcvEePHuHBgwfw8PCQt+UAgPbt23N/VldXh6amJq8NR13Xrl2TShy6uLhIjam71wDg5ubG7XVDrnvt2jW4uLjwKnTd3NxQWlqKe/fuAQDGjBmDI0eO4P79+wBet7IIDAyUWdWblpbG2/utW7fK3gy8bv2RnZ2Nb7/9Fi9evABjjDtXXFwMsVgMNTU12NjYQF9fv9613vTy5Ute796GKioqwpgxYxAQEIBz587h1KlTUFFRwWeffcbF17JlS/z+++/cD14aas+ePejbty8UFKT/mdq2bRvmzZuHH3/88a29gd+0ePFibN68mXs/ZswYDB8+HN26dat3nkgkAvC633J9a0skEu5lbGzcqNgIIYQQQgghhJB/A1UIk/+skJAQXj9QQ0NDKCkpIS8vD8eOHcPRo0cxYcIExMbG4tSpU3IfhlZaWopx48ZxvYbrMjExwYsXL+Dl5QUvLy9s3boVzZs3x507d+Dl5YWKigreeHV19UbfR3BwMEaOHIm4uDgkJiZi6NChXLXlm7777juub+yb95ObmwsPDw+MHTsWERER3HFDQ0NkZ2dz72t/BT8gIACPHz9GfHw8TE1NIRQK4eLi8tZ7Sk5OxowZM7B8+XK4uLhAQ0MDsbGx+PXXXwH8X2Ltbd6MXyAQ8Co735d3va6DgwPs7e2xefNm9OrVC1evXpVbje3o6Mjb+9rqVisrK5w5c4b3kD4tLS1oaWlxiee6NDQ0cPHiRSgoKKBFixYN3uNaurq6ePr0aaPmAK8T/xKJBEuXLuWO1T688Ndff5XqSQyAq75/+PAhWrRowR1/+PAhOnTowL3fu3cvlixZIjU/OTkZwcHB2LlzJ689hK6uLhQVFfHw4UPe+IcPH9b7AMITJ05g7969XNU9Yww1NTVQUlLC+vXruer/2rYhzZs3l7tWeHg4pk2bxr0vKSmhpDAhhBBCCCGEkA8OJYTJf5aOjo7MPrkikQi+vr7w9fXFxIkT0bp1a1y5cgUdO3aEiooKqqureeM7duyI3NxcuT17r1y5gsePH2PJkiVc8uf8+fNvja/24Wbp6ekwNTUF8LoX8blz57j2FADg4+MDdXV1JCQk4NChQzh9+rTcNVu2bCnz+NWrV+Hu7o6AgAAsWrSId05JSUnmvaWnp2Pt2rXw8fEBANy9exd//fXXW+8rPT0drq6uvP63+fn53J81NDRgZmaG48eP81o1vAtbW1su4VyrtuVA3THp6ekICAjgxdqmTZtGXSclJQWMMa7iNz09HRoaGjAyMuLGBQcHY+XKlbh//z48PT3lJgVFIpHMvR82bBhWr16NtWvX8tpqyKOgoPBOPaUdHBywZcuWRs8rKyuTquBVVFQEALlJ9FatWsHAwADHjx/nEsAlJSX49ddfMX78eACv217cvn2ba69Sa/v27QgKCkJycjL69OnDO6eiooJOnTrh+PHjGDBgABfD8ePHpR5YWFdmZibve37Pnj34+uuvkZGRwft+ysnJgbKysszK+1pCoRBCoVDueUIIIYQQQggh5ENACWHy0SotLcXNmze597du3UJ2djZ0dHRgYmIic05SUhKqq6vRuXNnqKmpYcuWLRCJRFxC1szMDKdPn4a/vz+EQiF0dXUxa9YsdOnSBaGhoQgODoa6ujpyc3Nx9OhRrFmzBiYmJlBRUcHq1asREhKCnJwcLFiw4K3xq6urY/z48QgLC+NiXrp0KcrKyjB69GhunKKiIgIDAxEeHg4rKyupVghvk5OTA3d3d3h5eWHatGlcn1ZFRcV6qx2trKzwww8/wNHRESUlJQgLC2tQ5amVlRU2b96Mw4cPo1WrVvjhhx9w7tw5tGrVihsTHR2NkJAQ6OnpwdvbG8+fP0d6ejomTZrUqHurNXnyZLi5uWHZsmXo378/Dh8+zOsfDABhYWEYMmQIHBwc4OnpiX379mHXrl04duxYg68zYcIErFy5EpMmTUJoaCjy8vIQFRWFadOm8RKjw4cPx4wZM7BhwwZee4KGcnFxwfTp0zF9+nTcvn0bgwYNgrGxMQoLC7Fx40YIBAKZrRT+Li8vL4SHh+Pp06fQ1tbmjt+8eROlpaUoKirCy5cvuWrmNm3aQEVFBX369EFcXBzmz5+PYcOG4fnz55gzZw5MTU3h4OAA4HWvYw8PD2zevBnOzs4QCAT48ssvsXDhQlhZWaFVq1aIjIyEoaEhl8jds2cPPD09eZXw27ZtQ0BAAOLj49G5c2fucywSibheytOmTUNAQAAcHR3h7OyMlStX4sWLF7we1+Hh4bh//z73dbG1teXtxfnz56GgoIC2bdvyjqelpeGTTz5pdPU1IeS/rWBJn7cPIoQQQggh5EPDCPlI/fLLLwyA1CsgIEDunNTUVNa5c2emqanJ1NXVWZcuXdixY8e485mZmax9+/ZMKBSyut8eWVlZ7NNPP2VisZipq6uz9u3bs0WLFnHnt23bxszMzJhQKGQuLi5s7969DAC7dOkSL9anT5/y4nn58iWbNGkS09XVZUKhkLm5ubGsrCypuPPz8xkAtnTpUqlzAFhqaqrce46KipK5T6ampnLnMMbYxYsXmaOjI1NVVWVWVlZs586dzNTUlMXFxdV77VevXrHAwEAmkUiYlpYWGz9+PJs9ezazt7fnjVu3bh2zsbFhysrKrEWLFmzSpEn1riuRSFhiYiJjTPZ+bty4kRkZGTGRSMR8fX3ZsmXLmEQi4a2xdu1aZm5uzpSVlZm1tTXbvHkz7/zbrssYYydPnmROTk5MRUWFGRgYsFmzZrHKykqp/Rs5ciTT0dFhr1694h2PioqS2gt5duzYwXr06MEkEglTVlZmRkZGbPjw4ezs2bPcmMTERKn7fNPbPiOMMebs7MzWrVvHO9a9e3eZn51bt25xY7Zv384cHByYuro6a968OevXrx+7du0ad/7WrVsMAPvll1+4YzU1NSwyMpLp6+szoVDIPDw8WF5eHne+a9eubMOGDQ2K5c3v99WrVzMTExOmoqLCnJ2deXvFGGMBAQGse/fucvdB3n7a2Niw7du3y50nS3FxMQPAiouLGzWPEEIIIYQQQgj5Oxr6/1ABY3WeTEQI+SClpaXBw8MDd+/e5frMkg+bh4cH7OzssGrVqqYOpUEOHDiAsLAw5OTk/KPVx431119/oUWLFrh3794H81k/ePAgpk+fjt9++w1KSg3/xZqSkhJIJBIUFxdDU1PzPUZICCGEEEIIIYQ0/P+h1DKCkA9YeXk5/vzzT0RHR8PPz++DSZAR+Z4+fYqTJ0/i5MmTWLt2bVOH02B9+vTBjRs3cP/+/SZ9ENqTJ0+wYsWKD+qz/uLFCyQmJjYqGUwIIYQQQgghhHyoqEKYkA9YUlISRo8ejQ4dOmDv3r1yHxpHPhxmZmZ4+vQpIiMjMWPGjKYOhzQhqhAmhBBCCCGEEPJvauj/Q5vu94IJIW8VGBiI6upqXLhwgUsGCwQC7N69u2kD+4e97Z5OnjwJgUCAZ8+eyR2TlJQELS2tfzy2xiooKEBxcTGXDI6OjkaHDh2aNqgGOn78OGxtbVFdXd3UoXxwunTpgpSUlKYOgxBCCCGEEEIIeWeUECYfjdOnT8PX1xeGhob/WFLUzMwMK1eufOd1PiSXL1/GsGHDYGxsDJFIBFtbW8THxzd1WO/E1dUVhYWFkEgkTR3Ke5WSkgJ3d3doa2tDJBLBxsYGQUFBuHTpEjcmKSkJAoEAAoEACgoKMDIywqhRo/Do0SNuTO35N1/Jycn1Xn/mzJmIiIiAoqIiAKCwsBDDhw+HtbU1FBQU8OWXX8qct3LlStjY2EAkEsHY2BhTp07Fq1ev6r3WkydPMGLECGhqakJLSwujR49GaWmp1LhTp05xLSwWL14MJycnaGhoQE9PDwMGDEBeXh5v/KtXrzBx4kQ0a9YMYrEYgwcPxsOHD+uNpa7k5GQIBAIMGDCAdzwiIgKzZ89GTU1Ng9cihBBCCCGEEEI+RNQQkXw0Xrx4AXt7ewQFBWHQoEFNHU6jMMZQXV39r/QgvXDhAvT09LBlyxYYGxsjIyMDY8eOhaKiIkJDQ//Ra1VWVkJZWfkfXVMWFRUVGBgYvPfrNKVZs2Zh+fLlmDx5MubNmwdTU1P8+eefOHjwIMLDw3Ho0CFurKamJvLy8lBTU4PLly9j1KhRePDgAQ4fPsyNSUxMRO/evXnXqK+C+syZM8jPz8fgwYO5Y+Xl5WjevDkiIiIQFxcnc962bdswe/ZsfP/993B1dcX169cRGBgIgUCAFStWyL3eiBEjUFhYiKNHj6KyshKjRo3C2LFjsW3bNt64PXv2wNfXF8Dr5PDEiRPh5OSEqqoqzJkzB7169UJubi7U1dUBAFOnTsWBAwewc+dOSCQShIaGYtCgQUhPT5cbS62CggLMmDEDn3zyidQ5b29vBAcH4+DBg+jTp89b1yKEfJjMZh9o6hCaXMES+juMEEIIIeR/HVUIk4+Gt7c3Fi5ciIEDBzZ4DmMM0dHRMDExgVAohKGhISZPngwA6NGjB27fvo2pU6dyFZS1zpw5g08++YSreJw8eTJevHjBnf/hhx/g6OgIDQ0NGBgYYPjw4bwKzdoWBwcPHkSnTp0gFApx5swZlJeXY/LkydDT04Oqqiq6du2Kc+fOcbFaWlpi2bJlvHvIzs6GQCDAzZs3G3TPQUFBiI+PR/fu3WFubo7PP/8co0aNwq5du+qdd+7cOXz66afQ1dWFRCJB9+7dcfHiRd4YgUCAhIQE9OvXD+rq6li0aBGqq6sxevRotGrViqtqlVWR/P3338POzg5CoRAtWrSQSk7/9ddfGDhwINTU1GBlZYW9e/dK7WfdlhFJSUkwMTGBmpoaBg4ciMePH0tdMyEhARYWFlBRUYGNjQ1++OEHqfv57rvv5F4XeJ2EdHZ25uKePXs2qqqqAACbN29Gs2bNUF5ezpszYMAAjBw5sp7d5jt79iyWLl2KFStWYMWKFfjkk09gYmKCTp06ISIiAgcPHpSK28DAAIaGhvD29sbkyZNx7NgxvHz5khujpaUFAwMD3ktVVVVuDMnJyfj00095Y8zMzBAfH48vvvhCbnV2RkYG3NzcMHz4cJiZmaFXr14YNmwYsrKy5F7r2rVrOHToEL777jt07twZXbt2xerVq5GcnIwHDx7wxu7duxf9+vUDABw6dAiBgYGws7ODvb09kpKScOfOHVy4cAEAUFxcjI0bN2LFihVwd3dHp06dkJiYiIyMDJw9e1ZuPABQXV2NESNGYN68eTA3N5c6r6ioCB8fn7dWWRNCCCGEEEIIIR86SgiT/7SUlBTExcXh22+/xY0bN7B79260a9cOALBr1y4YGRlh/vz5KCwsRGFhIQAgPz8fvXv3xuDBg/Hbb79hx44dOHPmDC+BWVlZiQULFuDy5cvYvXs3CgoKEBgYKHX92bNnY8mSJbh27Rrat2+PmTNnIiUlBZs2bcLFixdhaWkJLy8vPHnyBAKBAEFBQUhMTOStkZiYiG7dusHS0vJv70NxcTF0dHTqHfP8+XMEBATgzJkzOHv2LKysrODj44Pnz5/zxkVHR2PgwIG4cuUKgoKCUFNTAyMjI+zcuRO5ubn46quvMGfOHPz444/cnISEBEycOBFjx47FlStXsHfvXqn7mTdvHoYMGYLffvsNPj4+GDFiBJ48eSIz1l9//RWjR49GaGgosrOz0bNnTyxcuJA3JjU1FVOmTMH06dORk5ODcePGYdSoUfjll18afN379+/Dx8cHTk5OuHz5MhISErBx40buWn5+fqiuruYlkR89eoQDBw4gKCio3v2ua/v27RCLxZgwYYLM83V/WCGLSCRCTU0Nl6j+O9LS0uDo6Njoea6urrhw4QKXAP7jjz/w888/w8fHhxtT2+aiVmZmJrS0tHjX8/T0hIKCAn799Vfu2NWrV/Ho0SO4u7vLvHZxcTEAcJ/tCxcuoLKyEp6entyY1q1bw8TEBJmZmdwxMzMzREdH89aaP38+9PT0MHr0aLn36uzsjLS0NLnnCSGEEEIIIYSQjwG1jCD/aXfu3IGBgQE8PT2hrKwMExMTODs7A3idRFJUVOSqfGstXrwYI0aM4PqlWllZYdWqVejevTsSEhKgqqrKS/aZm5tj1apVcHJyQmlpKcRiMXdu/vz5+PTTTwG8bnmRkJCApKQkeHt7AwA2bNiAo0ePYuPGjQgLC0NgYCC++uorZGVlwdnZGZWVldi2bZtU1XBjZGRkYMeOHThwoP5fk30z6bZ+/XpoaWnh1KlT6Nu3L3d8+PDhGDVqFG/svHnzuD+3atUKmZmZ+PHHHzFkyBAAwMKFCzF9+nRMmTKFG+fk5MRbIzAwEMOGDQMAxMTEYNWqVcjKypJqewAA8fHx6N27N2bOnAkAsLa2RkZGBq+twrJlyxAYGMglWadNm4azZ89i2bJl6NmzZ4Ouu3btWhgbG2PNmjUQCARo3bo1Hjx4gFmzZuGrr76CSCTC8OHDkZiYCD8/PwDAli1bYGJigh49etS33TzXr1+Hubk5r6XIihUr8NVXX3Hv79+/L7NK98aNG1i3bh1XsV5r2LBhXC/gWrm5uTAxMZEZw+3bt2FoaNjgmGsNHz4cf/31F7p27QrGGKqqqhASEoI5c+ZwYyQSCWxsbLj3RUVF0NPT462jpKQEHR0dFBUVccf27NkDLy8vqKioSF23pqYGX375Jdzc3NC2bVtuXRUVFanWGPr6+rx1LSwsoKury70/c+YMNm7ciOzs7Hrv1dDQEHfv3kVNTQ0UFKR/nlpeXs6rFi8pKal3PUIIIYQQQgghpClQhTD5z4iJiYFYLOZed+7cgZ+fH16+fAlzc3OMGTMGqampb62ivHz5MpKSknhreXl5oaamBrdu3QLwuhLR19cXJiYm0NDQQPfu3QG8TkDXVbcCMj8/H5WVlXBzc+OOKSsrw9nZGdeuXQPwOuHUp08ffP/99wCAffv2oby8nEs2vsnb25uL0c7OTup8Tk4O+vfvj6ioKPTq1YuLse69xcTEAAAePnyIMWPGwMrKChKJBJqamigtLa33nmp988036NSpE5o3bw6xWIz169dz8x49eoQHDx7Aw8ND3pYDANq3b8/9WV1dHZqamrw2HHVdu3YNnTt35h1zcXGRGlN3rwHAzc2N2+uGXPfatWtwcXHhVbe6ubmhtLQU9+7dAwCMGTMGR44cwf379wG8roat7aH7prS0NN7eb926VfZm4HXrj+zsbHz77bd48eIFGGPcueLiYojFYqipqcHGxgb6+vpSa8XFxSE7O5v3qi/h+/Lly3pbSshz8uRJxMTEYO3atbh48SJ27dqFAwcOYMGCBdyYgQMH4vfff2/02nv27OHaRbxp4sSJyMnJ+VstHI4fP85V/D9//hwjR47Ehg0beEliWWorsd9sEVJr8eLFkEgk3Kv2YXiEEEIIIYQQQsiHhCqEyX9GSEgIV5EKvE6uKikpIS8vD8eOHcPRo0cxYcIExMbG4tSpU3IfhlZaWopx48ZxvYbrMjExwYsXL+Dl5QUvLy9s3boVzZs3x507d+Dl5YWKigre+NoHXTVGcHAwRo4cibi4OCQmJmLo0KFQU1OTOfa7777j+sa+eT+5ubnw8PDA2LFjERERwR03NDTkVULW/rp9QEAAHj9+jPj4eJiamkIoFMLFxeWt95ScnIwZM2Zg+fLlcHFxgYaGBmJjY7lf/ReJRA267zfjFwgEqKmpadDcd/Gu13VwcIC9vT02b96MXr164erVq3KrsR0dHXl7r6+vD+B1FfqZM2d4D+nT0tKClpYWl3iuS0NDAxcvXoSCggJatGghc48NDAwa1WZEV1cXT58+bfD4WpGRkRg5ciSCg4MBAO3atcOLFy8wduxYzJ07V2YlrYGBgVSyv6qqCk+ePOGq9QsLC3Hp0iWZD3ALDQ3F/v37cfr0aRgZGfHWraiowLNnz3hVwg8fPpT7UML8/HwUFBRwD64DwH39a//+sLCwAAA8efIE6urqcj/T4eHhmDZtGve+pKSEksKEEEIIIYQQQj44lBAm/xk6Ojoy++SKRCL4+vrC19cXEydOROvWrXHlyhV07NgRKioqqK6u5o3v2LEjcnNz5SbTrly5gsePH2PJkiVcsuf8+fNvja/24Wbp6ekwNTUF8LoX8blz57j2FADg4+MDdXV1JCQk4NChQzh9+rTcNVu2bCnz+NWrV+Hu7o6AgAAsWrSId05JSUnmvaWnp2Pt2rVc79e7d+/ir7/+eut9paenw9XVldf/Nj8/n/uzhoYGzMzMcPz4cV6rhndha2vL6zULQOqhYba2tkhPT0dAQAAv1jZt2jTqOikpKWCMcRW/6enp0NDQ4CUig4ODsXLlSty/fx+enp5yk4AikUjm3g8bNgyrV6/G2rVreW015FFQUHinntKyODg4IDc3t9HzysrKpJK+ta0q6lY11+Xi4oJnz57hwoUL6NSpEwDgxIkTqKmp4Sq/9+3bB1dXV973NGMMkyZNQmpqKk6ePIlWrVrx1u3UqROUlZVx/PhxDB48GACQl5eHO3fuSFWQ16r9+6CuiIgIPH/+HPHx8byvZU5ODhwcHOTuhVAohFAolHueEEIIIYQQQgj5EFBCmHw0SktLcfPmTe79rVu3kJ2dDR0dHbl9UZOSklBdXY3OnTtDTU0NW7ZsgUgk4hKyZmZmOH36NPz9/SEUCqGrq4tZs2ahS5cuCA0NRXBwMNTV1ZGbm4ujR49izZo1MDExgYqKClavXo2QkBDk5OTwfj1eHnV1dYwfPx5hYWFczEuXLkVZWRnvQVaKiooIDAxEeHg4rKys5Cay5MnJyYG7uzu8vLwwbdo0rneqoqIimjdvLneelZUVfvjhBzg6OqKkpARhYWENqu61srLC5s2bcfjwYbRq1Qo//PADzp07x0vWRUdHIyQkBHp6evD29sbz58+Rnp6OSZMmNereak2ePBlubm5YtmwZ+vfvj8OHD/P6BwNAWFgYhgwZAgcHB3h6emLfvn3YtWsXjh071uDrTJgwAStXrsSkSZMQGhqKvLw8REVFYdq0abwk6PDhwzFjxgxs2LABmzdvbvT9uLi4YPr06Zg+fTpu376NQYMGwdjYGIWFhdi4cSMEAoHMStv6PHv2jNc3F3idnJdXte7l5YVNmzZJHa+taC4tLcWff/6J7OxsqKiocIl1X19frFixAg4ODujcuTNu3ryJyMhI+Pr6conh1NRUhIeHc20jbG1t0bt3b4wZMwbr1q1DZWUlQkND4e/vz7W12Lt3r1S7iIkTJ2Lbtm3Ys2cPNDQ0uPuTSCQQiUSQSCQYPXo0pk2bBh0dHWhqamLSpElwcXFBly5duHU8PDwwcOBAhIaGQlVVletBXKu2uvjN42lpaVzrFULIx6lgifRvHRBCCCGEEPI/hxHykfjll18YAKlXQECA3Dmpqamsc+fOTFNTk6mrq7MuXbqwY8eOceczMzNZ+/btmVAoZHW/HbKystinn37KxGIxU1dXZ+3bt2eLFi3izm/bto2ZmZkxoVDIXFxc2N69exkAdunSJV6sT58+5cXz8uVLNmnSJKarq8uEQiFzc3NjWVlZUnHn5+czAGzp0qVS5wCw1NRUufccFRUlc59MTU3lzmGMsYsXLzJHR0emqqrKrKys2M6dO5mpqSmLi4ur99qvXr1igYGBTCKRMC0tLTZ+/Hg2e/ZsZm9vzxu3bt06ZmNjw5SVlVmLFi3YpEmT6l1XIpGwxMRExpjs/dy4cSMzMjJiIpGI+fr6smXLljGJRMJbY+3atczc3JwpKysza2trtnnzZt75t12XMcZOnjzJnJycmIqKCjMwMGCzZs1ilZWVUvs3cuRIpqOjw169esU7HhUVJbUX8uzYsYP16NGDSSQSpqyszIyMjNjw4cPZ2bNnuTGJiYlS9/kmWV9/AGzx4sVy5zx+/Jipqqqy33///a1r1f0sVVZWsujoaGZhYcFUVVWZsbExmzBhAu9rlZiYyN785+bx48ds2LBhTCwWM01NTTZq1Cj2/PlzxhhjpaWlTFVVld24caNB91X36/Xy5Us2YcIEpq2tzdTU1NjAgQNZYWEhbx1TU1MWFRUldy8CAgJY//79ecfu3bvHlJWV2d27d+XOe1NxcTEDwIqLixs8hxBCCCGEEEII+bsa+v9QAWNyfqeXENJk0tLS4OHhgbt373J9ZsmHzcPDA3Z2dli1alVTh/K3hYWFoaSkBN9++22TxrFr1y5ERET8rRYW78usWbPw9OlTrF+/vsFzSkpKIJFIUFxcDE1NzfcYHSGEEEIIIYQQ0vD/hzbud5AJIe9VeXk57t27h+joaPj5+VEy+CPw9OlTrqftxIkTmzqcdzJ37lyYmpr+Kw/zq49YLMbXX3/dpDG8SU9Pr0GtYQghhBBCCCGEkA8dVQgT8gFJSkrC6NGj0aFDB+zdu1fuQ+PIh8PMzAxPnz5FZGQkZsyY0dThkA8IVQgTQgghhBBCCPk3UYUwIR+hwMBAVFdX48KFCzKTwQKBALt37/73A3uP3nZPJ0+ehEAgwLNnz+SOSUpK4h4E9m8rKChAcXGxzGRwdHQ0OnTo8O8H9TcdP34ctra2qK6ubupQPjhdunRBSkpKU4dBCCGEEEIIIYS8M0oIk4/C6dOn4evrC0NDw38sKWpmZoaVK1e+8zofksuXL2PYsGEwNjaGSCSCra0t4uPjmzqsd+Lq6orCwkJIJJKmDuW9SklJgbu7O7S1tSESiWBjY4OgoCBcunSJG5OUlASBQACBQAAFBQUYGRlh1KhRePToEW+tX375BT4+PmjWrBnU1NTQpk0bTJ8+Hffv3683hpkzZyIiIgKKiooAgMLCQgwfPhzW1tZQUFDAl19+KXPeypUrYWNjA5FIBGNjY0ydOhWvXr2q91pPnjzBiBEjoKmpCS0tLYwePRqlpaVS406dOgVjY2MAwOLFi+Hk5AQNDQ3o6elhwIAByMvL441/9eoVJk6ciGbNmkEsFmPw4MF4+PBhvbHUlZycDIFAgAEDBvCOR0REYPbs2U3eToMQQgghhBBCCHlXlBAmH4UXL17A3t4e33zzTVOH0miMMVRVVf0r17pw4QL09PSwZcsWXL16FXPnzkV4eDjWrFnzj1+rsrLyH19TFhUVFRgYGEAgEPwr12sKs2bNwtChQ7lWIXl5edi2bRvMzc0RHh7OG6upqYnCwkLcu3cPGzZswMGDBzFy5Eju/LfffgtPT08YGBggJSUFubm5WLduHYqLi7F8+XK5MZw5cwb5+fkYPHgwd6y8vBzNmzdHREQE7O3tZc7btm0bZs+ejaioKFy7dg0bN27Ejh07MGfOnHrvecSIEbh69SqOHj2K/fv34/Tp0xg7dqzUuD179sDX1xfA6+TwxIkTcfbsWRw9ehSVlZXo1asXXrx4wY2fOnUq9u3bh507d+LUqVN48OABBg0aVG8stQoKCjBjxgx88sknUue8vb3x/PlzHDx4sEFrEULIh8Zs9gGYzT7Q1GEQQgghhJAPASPkIwOApaamvnVcTU0Ni4qKYsbGxkxFRYW1aNGCTZo0iTHGWPfu3RkA3qtWWloa69q1K1NVVWVGRkZs0qRJrLS0lDu/efNm1qlTJyYWi5m+vj4bNmwYe/jwIXf+l19+YQDYzz//zDp27MiUlZXZL7/8wl69esUmTZrEmjdvzoRCIXNzc2NZWVlcrBYWFiw2NpZ3D5cuXWIA2I0bNxp173VNmDCB9ezZs94xWVlZzNPTkzVr1oxpamqybt26sQsXLvDGAGBr165lvr6+TE1NjUVFRbGqqioWFBTEzMzMmKqqKrO2tmYrV66UWn/jxo2sTZs2TEVFhRkYGLCJEyfy1t2wYQMbMGAAE4lEzNLSku3Zs0dqP58+fcodS0xMZMbGxkwkErEBAwawZcuWMYlEwrvm2rVrmbm5OVNWVmbW1tZs8+bNUvdT33UZY+zkyZPMycmJi3vWrFmssrKSMcbYpk2bmI6ODnv16hVvTv/+/dnnn3/OGGMsKiqK2dvb17v3mZmZDACLj4+Xeb6mpoZ332/e56JFi5iCggIrKytjd+/eZSoqKuzLL7+UuVbdPXzTxIkT2WeffSb3fPfu3dmUKVNkznN3d+cdmzZtGnNzc5O7Vm5uLgPAzp07xx07ePAgEwgE7P79+7yxFhYW7ODBgzLXefToEQPATp06xRhj7NmzZ0xZWZnt3LmTG3Pt2jUGgGVmZsqNhzHGqqqqmKurK/vuu+9YQEAA69+/v9SYUaNGcV/bhiguLmYAWHFxcYPnEELI+2I6az8znbW/qcMghBBCCCHvUUP/H0oVwuQ/KyUlBXFxcfj2229x48YN7N69G+3atQMA7Nq1C0ZGRpg/fz4KCwtRWFgIAMjPz0fv3r0xePBg/Pbbb9ixYwfOnDmD0NBQbt3KykosWLAAly9fxu7du1FQUIDAwECp68+ePRtLlizBtWvX0L59e8ycORMpKSnYtGkTLl68CEtLS3h5eeHJkycQCAQICgpCYmIib43ExER069YNlpaWf3sfiouLoaOjU++Y58+fIyAgAGfOnMHZs2dhZWUFHx8fPH/+nDcuOjoaAwcOxJUrVxAUFISamhoYGRlh586dyM3NxVdffYU5c+bgxx9/5OYkJCRg4sSJGDt2LK5cuYK9e/dK3c+8efMwZMgQ/Pbbb/Dx8cGIESPw5MkTmbH++uuvGD16NEJDQ5GdnY2ePXti4cKFvDGpqamYMmUKpk+fjpycHIwbNw6jRo3CL7/80uDr3r9/Hz4+PnBycsLly5eRkJCAjRs3ctfy8/NDdXU19u7dy6336NEjHDhwAEFBQfXud13bt2+HWCzGhAkTZJ5/W2W0SCRCTU0NqqqqsHPnTlRUVGDmzJkyx9bXZzktLQ2Ojo4NjruWq6srLly4gKysLADAH3/8gZ9//hk+Pj7cmNpWF7UyMzOhpaXFu56npycUFBTw66+/cseuXr2KR48ewd3dXea1i4uLAYD7fF+4cAGVlZXw9PTkxrRu3RomJibIzMzkjpmZmSE6Opq31vz586Gnp4fRo0fLvVdnZ2ekpaXJPU8IIYQQQgghhHwU/qUENSH/GDSwSnb58uXM2tqaVVRUyDxvamrK4uLieMdGjx7Nxo4dyzuWlpbGFBQU2MuXL2Wuc+7cOQaAPX/+nDH2fxWtu3fv5saUlpYyZWVltnXrVu5YRUUFMzQ0ZEuXLmWMMXb//n2mqKjIfv31V+68rq4uS0pKavS910pPT2dKSkrs8OHDDZ7DGGPV1dVMQ0OD7du3j3dteZWndU2cOJENHjyYe29oaMjmzp0rdzwAFhERwb0vLS1lALiq0DcrhIcNG8Z8fHx4awwdOpRXOevq6srGjBnDG+Pn58eb97brzpkzh9nY2PAqdL/55hsmFotZdXU1Y4yx8ePHM29vb+788uXLmbm5OTenIRXCvXv3Zu3bt+cdW758OVNXV+dez549Y4xJVwhfv36dWVtbM0dHRy4eTU3Neq8nj0QikaqirktehTBjjMXHxzNlZWWmpKTEALCQkBDe+V27djEbGxvu/aJFi5i1tbXUOs2bN2dr167ljZNXtVxdXc369OnDq0TeunUrU1FRkRrr5OTEZs6cyb13d3dnq1ev5t6npaWxli1bsj///JMxxuRWCO/Zs4cpKChwX/83vXr1ihUXF3Ovu3fvUoUwIeSDQRXChBBCCCH/fVQhTP6nxMTEQCwWc687d+7Az88PL1++hLm5OcaMGYPU1NS39vK9fPkykpKSeGt5eXmhpqYGt27dAvC6CtHX1xcmJibQ0NBA9+7dAQB37tzhrVW3+jE/Px+VlZVwc3PjjikrK8PZ2RnXrl0DABgaGqJPnz74/vvvAQD79u1DeXk5/Pz8ZMbq7e3NxWhnZyd1PicnB/3790dUVBR69erFxVj33mJiYgAADx8+xJgxY2BlZQWJRAJNTU2UlpbWe0+1vvnmG3Tq1AnNmzeHWCzG+vXruXmPHj3CgwcP4OHhIW/LAQDt27fn/qyurg5NTU2pB6XVunbtGjp37sw75uLiIjWm7l4DgJubG7fXDbnutWvX4OLiwqtsdXNzQ2lpKe7duwcAGDNmDI4cOcI9rC0pKQmBgYEyq3rT0tJ4e79161bZmwEgKCgI2dnZ+Pbbb/HixQswxrhzxcXFEIvFUFNTg42NDfT19bm1GGN/u9fyy5cvoaqq2uh5J0+eRExMDNauXYuLFy9i165dOHDgABYsWMCNGThwIH7//fdGr71nzx7069dP5rmJEyciJycHycnJjV73+PHjXNX/8+fPMXLkSGzYsAG6urr1zqutxi4vL5d5fvHixZBIJNyr9mF4hBBCCCGEEELIh0SpqQMg5J8QEhKCIUOGcO8NDQ2hpKSEvLw8HDt2DEePHsWECRMQGxuLU6dOQVlZWeY6paWlGDduHCZPnix1zsTEBC9evICXlxe8vLywdetWNG/eHHfu3IGXlxcqKip449XV1Rt9H8HBwRg5ciTi4uKQmJiIoUOHQk1NTebY7777Di9fvgQAqfvJzc2Fh4cHxo4di4iICO64oaEhsrOzufe1v2ofEBCAx48fIz4+HqamphAKhXBxcXnrPSUnJ2PGjBlYvnw5XFxcoKGhgdjYWO7X/kUiUYPu+834BQIBampqGjT3XbzrdR0cHGBvb4/NmzejV69euHr1Kg4ckP3AHkdHR97e6+vrAwCsrKxw5swZVFZWcvFoaWlBS0uLSzzXpaGhgYsXL0JBQQEtWrTg7bG1tTWKi4tRWFiIFi1aNPg+AEBXVxdPnz5t1BwAiIyMxMiRIxEcHAwAaNeuHV68eIGxY8di7ty5UFCQ/rmjgYGBVMK/qqoKT548gYGBAQCgsLAQly5dQp8+faTmh4aGcg+iMzIy4q1bUVGBZ8+e8dpjPHz4kFv3Tfn5+SgoKOAeXAeA+wzU/h1iYWEBAHjy5AnU1dXlfq7Dw8Mxbdo07n1JSQklhQkhhBBCCCGEfHAoIUz+E3R0dGT2yRWJRPD19YWvry8mTpyI1q1b48qVK+jYsSNUVFRQXV3NG9+xY0fk5ubK7dl75coVPH78GEuWLOESPefPn39rfBYWFlBRUUF6ejpMTU0BvO5FfO7cOXz55ZfcOB8fH6irqyMhIQGHDh3C6dOn5a7ZsmVLmcevXr0Kd3d3BAQEYNGiRbxzSkpKMu8tPT0da9eu5fq+3r17F3/99ddb7ys9PR2urq68/rf5+fncnzU0NGBmZobjx4+jZ8+eb12vIWxtbXl9ZgHg7NmzUmPS09MREBDAi7VNmzaNuk5KSgqv6jY9PR0aGhq8JGRwcDBWrlyJ+/fvw9PTU24CUCQSydz7YcOGYfXq1Vi7di2mTJny1rgUFBTkfj4/++wzzJ49G0uXLkVcXJzU+TcTpXU5ODggNzf3rdd/U1lZmVTSV1FREQB4lc11ubi44NmzZ7hw4QI6deoEADhx4gRqamq46u99+/bB1dWV933NGMOkSZOQmpqKkydPolWrVrx1O3XqBGVlZRw/fhyDBw8GAOTl5eHOnTtSVeS1av9OqCsiIgLPnz9HfHw87+uZk5MDBwcHuXshFAohFArlnieEEEIIIYQQQj4ElBAmH4XS0lLcvHmTe3/r1i1kZ2dDR0cHJiYmMuckJSWhuroanTt3hpqaGrZs2QKRSMQlZM3MzHD69Gn4+/tDKBRCV1cXs2bNQpcuXRAaGorg4GCoq6sjNzcXR48exZo1a2BiYgIVFRWsXr0aISEhyMnJ4f1qvDzq6uoYP348wsLCuJiXLl2KsrIy3kOsFBUVERgYiPDwcFhZWclNYsmTk5MDd3d3eHl5Ydq0aSgqKuLWbd68udx5VlZW+OGHH+Do6IiSkhKEhYU1qLrXysoKmzdvxuHDh9GqVSv88MMPOHfuHC9RFx0djZCQEOjp6cHb2xvPnz9Heno6Jk2a1Kh7qzV58mS4ublh2bJl6N+/Pw4fPoxDhw7xxoSFhWHIkCFwcHCAp6cn9u3bh127duHYsWMNvs6ECROwcuVKTJo0CaGhocjLy0NUVBSmTZvGS4AOHz4cM2bMwIYNG7B58+ZG34+LiwumT5+O6dOn4/bt2xg0aBCMjY1RWFiIjRs3QiAQyKyylcXY2BhxcXEIDQ1FSUkJvvjiC5iZmeHevXvYvHkzxGIxli9fLnOul5cXNm3aJHW8tqq5tLQUf/75J7Kzs6GiosIl1319fbFixQo4ODigc+fOuHnzJiIjI+Hr68slhlNTUxEeHs61jbC1tUXv3r0xZswYrFu3DpWVlQgNDYW/vz8MDQ0BAHv37pVqFzFx4kRs27YNe/bsgYaGBvf5lkgkEIlEkEgkGD16NKZNmwYdHR1oampi0qRJcHFxQZcuXbh1PDw8MHDgQISGhkJVVRVt27blXac2af7m8bS0NK79CiGEfGwKlkj/xgUhhBBCCPkf9f7bGRPy7mofLPbmKyAgQO6c1NRU1rlzZ6apqcnU1dVZly5d2LFjx7jzmZmZrH379kwoFLK63wpZWVns008/ZWKxmKmrq7P27duzRYsWcee3bdvGzMzMmFAoZC4uLmzv3r0MALt06RIv1tqHoNV6+fIlmzRpEtPV1WVCoZC5ubmxrKwsqbjz8/MZAO5hc3XhLQ+Vi4qKkrlPpqamcucwxtjFixeZo6MjU1VVZVZWVmznzp1SD92Tde1Xr16xwMBAJpFImJaWFhs/fjybPXu21IPU1q1bx2xsbJiysjJr0aIFmzRpUr3rSiQSlpiYyBiTvZ8bN25kRkZGTCQSMV9fX7Zs2TLew9YYY2zt2rXM3NycKSsrM2tra6kHpr3tuowxdvLkSebk5MRUVFSYgYEBmzVrFqusrJTav5EjRzIdHR326tUr3vGGPFSu1o4dO1iPHj2YRCJhysrKzMjIiA0fPpydPXuWG/PmQ+XkOXr0KPPy8mLa2tpMVVWVtW7dms2YMYM9ePBA7pzHjx8zVVVV9vvvv/OOv+3zVFlZyaKjo5mFhQVTVVVlxsbGbMKECbyvV2JiInvzn5vHjx+zYcOGMbFYzDQ1NdmoUaO4BzOWlpYyVVVVduPGjbfGAoD3NXv58iWbMGEC09bWZmpqamzgwIGssLCQt46pqSmLioqSuxeyHip37949pqyszO7evSt33psa2syfEEIIIYQQQgj5JzT0/6ECxuT8Ti8hpEmkpaXBw8MDd+/e5frMkg+bh4cH7OzssGrVqqYO5Z2EhYWhpKQE3377bZPGsWvXLkRERPytFhbvy6xZs/D06VOsX7++wXNKSkogkUhQXFwMTU3N9xgdIYQQQgghhBDS8P+HNuz3kAkh7115eTnu3buH6Oho+Pn5UTL4I/D06VOun+3EiRObOpx3NnfuXJiamv4rD/Srj1gsxtdff92kMbxJT0+vQe1hCCGEEEIIIYSQDx1VCBPygUhKSsLo0aPRoUMH7N27V+5D48iHw8zMDE+fPkVkZCRmzJjR1OGQDwxVCBNCCCGEEEII+TdRhTAhH5nAwEBUV1fjwoULlAz+SBQUFGDq1KnYsmXLO68jEAi4B7i9TwKBALt3737v1/kndOvWDdu2bWvqMAAAXbp0QUpKSlOHQQghhBBCCCGEvDNKCBNCPnqnT5+Gr68vDA0NP6qEZy1jY2MUFhaibdu2AICTJ09CIBDg2bNnTRZTUVERpkyZAktLS6iqqkJfXx9ubm5ISEhAWVkZN87MzAwCgQACgQDq6uro2LEjdu7cyZ2Pjo7mztd9tW7dut7r7927Fw8fPoS/vz93bP369ejRowc0NTXr3Z8DBw6gc+fOEIlE0NbWxoABA956vzt37kTr1q2hqqqKdu3a4eeff+adj4iIwOzZs5u8nQYhhBBCCCGEEPKulJo6AEIIeVcvXryAvb09goKCMGjQoKYOp9EUFRVhYGDQ1GFw/vjjD7i5uUFLSwsxMTFo164dhEIhrly5gvXr16Nly5bo168fN37+/PkYM2YMSkpKsHz5cgwdOhQtW7aEq6srAMDOzg7Hjh3jXUNJqf5/flatWoVRo0ZBQeH/fm5ZVlaG3r17o3fv3ggPD5c5LyUlBWPGjEFMTAzc3d1RVVWFnJyceq+VkZGBYcOGYfHixejbty+2bduGAQMG4OLFi1yS3tvbG8HBwTh48CD69OlT73qEEPIhM5t94L1fo2AJ/T1JCCGEEPIhowphQshHz9vbGwsXLsTAgQMbNU8gECAhIQHe3t4QiUQwNzfHTz/9xBsza9YsWFtbQ01NDebm5oiMjERlZaXcNQMDAzFgwADExMRAX18fWlpamD9/PqqqqhAWFgYdHR0YGRkhMTGRm1O3ZURBQQF69uwJANDW1oZAIEBgYCCA1w8enDx5MvT09KCqqoquXbvi3LlzAADGGCwtLbFs2TJePNnZ2RAIBLh582aD92XChAlQUlLC+fPnMWTIENja2sLc3Bz9+/fHgQMH4OvryxuvoaEBAwMDWFtb45tvvoFIJMK+ffu480pKSjAwMOC9dHV15V7/zz//xIkTJ6Su8+WXX2L27Nno0qWLzHlVVVWYMmUKYmNjERISAmtra7Rp0wZDhgyp937j4+PRu3dvhIWFwdbWFgsWLEDHjh2xZs0aboyioiJ8fHyQnJxc71qEEEIIIYQQQsiHjhLChJD/aZGRkRg8eDAuX76MESNGwN/fH9euXePOa2hoICkpCbm5uYiPj8eGDRsQFxdX75onTpzAgwcPcPr0aaxYsQJRUVHo27cvtLW18euvvyIkJATjxo3DvXv3pOYaGxtzvWrz8vJQWFiI+Ph4AMDMmTORkpKCTZs24eLFi7C0tISXlxeePHkCgUCAoKAgXqIZABITE9GtWzdYWlo2aD8eP36MI0eOYOLEiVBXV5c5RiAQyJ2vpKQEZWVlVFRUNOh6spw5cwZqamqwtbVt1LyLFy/i/v37UFBQgIODA1q0aAFvb2+pCmEzMzNER0dz7zMzM+Hp6ckb4+XlhczMTN4xZ2dnpKWlyb1+eXk5SkpKeC9CCCGEEEIIIeRDQwlhQsj/ND8/PwQHB8Pa2hoLFiyAo6MjVq9ezZ2PiIiAq6srzMzM4OvrixkzZuDHH3+sd00dHR2sWrUKNjY2CAoKgo2NDcrKyjBnzhxYWVkhPDwcKioqOHPmjNRcRUVF6OjoAAD09PRgYGAAiUSCFy9eICEhAbGxsfD29kabNm2wYcMGiEQibNy4EcDr6uS8vDxkZWUBACorK7Ft2zYEBQU1eD9u3rwJxhhsbGx4x3V1dSEWiyEWizFr1iyZcysqKrB48WIUFxfD3d2dO37lyhVubu0rJCREbgy3b9+Gvr4+r11EQ/zxxx8AXvctjoiIwP79+6GtrY0ePXrgyZMn3DgLCwtehXJRURH09fV5a+nr66OoqIh3zNDQEHfv3pXbR3jx4sWQSCTcy9jYuFHxE0IIIYQQQggh/wZKCBNC/vNiYmJ4ycg7d+5w51xcXHhjXVxceBXCO3bsgJubGwwMDCAWixEREcGbL4udnR0vmamvr4927dpx7xUVFdGsWTM8evSowfeQn5+PyspKuLm5cceUlZXh7OzMxWtoaIg+ffrg+++/BwDs27cP5eXl8PPzk7mmt7c3tyd2dnb1Xj8rKwvZ2dmws7NDeXk579ysWbMgFouhpqaGr7/+GkuWLOH12bWxsUF2djbvNX/+fLnXevnyJVRVVevfEBlqE7Vz587F4MGD0alTJyQmJkIgEPAedHf8+HGEhoY2en2RSISamhqp+68VHh6O4uJi7nX37t1GX4MQQgghhBBCCHnf6KFyhJD/vJCQEF4fWUNDwwbNy8zMxIgRIzBv3jx4eXlBIpEgOTkZy5cvr3eesrIy771AIJB5TF6l6bsIDg7GyJEjERcXh8TERAwdOhRqamoyx3733Xd4+fIlL2ZLS0sIBALk5eXxxpqbmwN4nRR9U1hYGAIDAyEWi6Gvry/VUkJFRaXBLSuA19XIT58+bfD4Wi1atAAAtGnThjsmFAphbm5ebxLfwMAADx8+5B17+PCh1IP+njx5AnV1dZl7UHstoVDY6LgJIYQQQgghhJB/E1UIE0L+83R0dGBpacm9lJT+72dhZ8+e5Y09e/Ys17s2IyMDpqammDt3LhwdHWFlZYXbt2+/93hVVFQAANXV1dwxCwsLqKioID09nTtWWVmJc+fO8RKgPj4+UFdXR0JCAg4dOlRvu4iWLVtye2JqagoAaNasGT799FOsWbMGL168aFC8urq6sLS0hIGBQb39hRvKwcEBRUVFjU4Kd+rUCUKhkJfMrqysREFBAXd/sri4uOD48eO8Y0ePHpWqHs/JyYGDg0OjYiKEEEIIIYQQQj40VCFMCPnolZaW4ubNm9z7W7duITs7Gzo6OjAxMal37s6dO+Ho6IiuXbti69atyMrK4nryWllZ4c6dO0hOToaTkxMOHDiA1NTU93ovAGBqagqBQID9+/fDx8cHIpEIYrEY48ePR1hYGHdfS5cuRVlZGUaPHs3NVVRURGBgIMLDw2FlZSWV1GyItWvXws3NDY6OjoiOjkb79u2hoKCAc+fO4ffff0enTp0atV5VVZVUP16BQCDVt7eWg4MDdHV1kZ6ejr59+3LHi4qKUFRUxH2tr1y5Ag0NDZiYmEBHRweampoICQlBVFQUjI2NYWpqitjYWADgtc3w8PDAwIEDubYRU6ZMQffu3bF8+XL06dMHycnJOH/+PNavX8+LKy0tDb169WrUvRNCyIemYEmftw8ihBBCCCH/aVQhTAj56J0/fx4ODg5c9ea0adPg4OCAr7766q1z582bh+TkZLRv3x6bN2/G9u3buYrbfv36YerUqQgNDUWHDh2QkZGByMjI93ovwOvK3Xnz5mH27NnQ19fnEpdLlizB4MGDMXLkSHTs2BE3b97E4cOHoa2tzZs/evRoVFRUYNSoUX/r+hYWFrh06RI8PT0RHh4Oe3t77mF7M2bMwIIFCxq13tWrV9GiRQveq76KXUVFRYwaNQpbt27lHV+3bh0cHBwwZswYAEC3bt3g4OCAvXv3cmNiY2Ph7++PkSNHwsnJCbdv38aJEyd4e5Sfn4+//vqLe+/q6opt27Zh/fr1sLe3x08//YTdu3ejbdu23Jj79+8jIyPjb+8pIYQQQgghhBDyoRAwxlhTB0EIIU1BIBAgNTUVAwYMaOpQ/lFpaWnw8PDA3bt35VbhfuiKiopgZ2eHixcv1ps8/rfMmjULT58+laoark9JSQkkEgmKi4uhqan5HqMjhBBCCCGEEEIa/v9QqhAmhJD/iPLycty7dw/R0dHw8/P7aJPBwOsHvW3cuLHeh8H9m/T09BpdGU0IIYQQQgghhHyIqIcwIYT8R2zfvh2jR49Ghw4dsHnz5qYO5519SJXb06dPb+oQCCGEEEIIIYSQfwRVCBNC/mcxxt4p6RgdHY0OHTq8UwwFBQUQCATIzs5+p3UAIDAwENXV1bhw4QJatmwpdV4gEGD37t3vfJ1/S7du3bBt27amDgMA0KVLF6SkpDR1GIQQQgghhBBCyDujhDAh5KN2+vRp+Pr6wtDQ8KNLeAKAsbExCgsLuQeYnTx5EgKBAM+ePWuymIqKijBlyhRYWlpCVVUV+vr6cHNzQ0JCAsrKyrhxZmZmEAgEEAgEUFdXR8eOHbFz507eWiUlJZg7dy5at24NVVVVGBgYwNPTE7t27UJ9Lez37t2Lhw8fwt/fnzu2fv169OjRA5qamvXu0YEDB9C5c2eIRCJoa2s3KOm/c+dOLsZ27drh559/5p2PiIjA7NmzUVNT89a1CCGEEEIIIYSQDxm1jCCEfNRevHgBe3t7BAUFYdCgQU0dTqMpKirCwMCgqcPg/PHHH3Bzc4OWlhZiYmLQrl07CIVCXLlyBevXr0fLli3Rr18/bvz8+fMxZswYlJSUYPny5Rg6dChatmwJV1dXPHv2DF27dkVxcTEWLlwIJycnKCkp4dSpU5g5cybc3d2hpaUlM45Vq1Zh1KhRUFD4v59blpWVoXfv3ujduzfCw8NlzktJScGYMWMQExMDd3d3VFVVIScnp957zsjIwLBhw7B48WL07dsX27Ztw4ABA3Dx4kUuUe/t7Y3g4GAcPHgQffr0aeSuEkLIh8Ns9oGmDoG8g4Il9G8QIYQQQt4dVQgTQj5q3t7eWLhwIQYOHNioeQKBAAkJCfD29oZIJIK5uTl++ukn3phZs2bB2toaampqMDc3R2RkJCorK+WuGRgYiAEDBiAmJgb6+vrQ0tLC/PnzUVVVhbCwMOjo6MDIyAiJiYncnLotIwoKCtCzZ08AgLa2NgQCAQIDAwG8fmDc5MmToaenB1VVVXTt2hXnzp0D8Lr1haWlJZYtW8aLJzs7GwKBADdv3mzwvkyYMAFKSko4f/48hgwZAltbW5ibm6N///44cOAAfH19eeM1NDRgYGAAa2trfPPNNxCJRNi3bx8AYM6cOSgoKMCvv/6KgIAAtGnTBtbW1hgzZgyys7MhFotlxvDnn3/ixIkTUtf68ssvMXv2bHTp0kXmvKqqKkyZMgWxsbEICQmBtbU12rRpgyFDhtR7z/Hx8ejduzfCwsJga2uLBQsWoGPHjlizZg03RlFRET4+PkhOTn7rHhJCCCGEEEIIIR8ySggTQv5nRUZGYvDgwbh8+TJGjBgBf39/XLt2jTuvoaGBpKQk5ObmIj4+Hhs2bEBcXFy9a544cQIPHjzA6dOnsWLFCkRFRaFv377Q1tbGr7/+ipCQEIwbNw737t2TmmtsbMz1qc3Ly0NhYSHi4+MBADNnzkRKSgo2bdqEixcvwtLSEl5eXnjy5AkEAgGCgoJ4iWYASExMRLdu3WBpadmg/Xj8+DGOHDmCiRMnQl1dXeYYgUAgd76SkhKUlZVRUVGBmpoaJCcnY8SIETA0NJQaKxaLoaQk+5dUzpw5AzU1Ndja2jYo7loXL17E/fv3oaCgAAcHB7Ro0QLe3t5SFcJmZmaIjo7m3mdmZsLT05M3xsvLC5mZmbxjzs7OSEtLk3v98vJylJSU8F6EEEIIIYQQQsiHhhLChJD/WX5+fggODoa1tTUWLFgAR0dHrF69mjsfEREBV1dXmJmZwdfXFzNmzMCPP/5Y75o6OjpYtWoVbGxsEBQUBBsbG5SVlWHOnDmwsrJCeHg4VFRUcObMGam5ioqK0NHRAQDo6enBwMAAEokEL168QEJCAmJjY+Ht7Y02bdpgw4YNEIlE2LhxI4DX1cl5eXnIysoCAFRWVmLbtm0ICgpq8H7cvHkTjDHY2Njwjuvq6kIsFkMsFmPWrFky51ZUVGDx4sUoLi6Gu7s7/vrrLzx9+hStW7du8PVr3b59G/r6+rx2EQ3xxx9/AHj9sL+IiAjs378f2tra6NGjB548ecKNs7CwgK6uLve+qKgI+vr6vLX09fVRVFTEO2ZoaIi7d+/K7SO8ePFiSCQS7mVsbNyo+AkhhBBCCCGEkH8DJYQJIf9pMTExXDJTLBbjzp073DkXFxfeWBcXF16F8I4dO+Dm5gYDAwOIxWJERETw5stiZ2fHS2Tq6+ujXbt23HtFRUU0a9YMjx49avA95Ofno7KyEm5ubtwxZWVlODs7c/EaGhqiT58++P777wEA+/btQ3l5Ofz8/GSu6e3tze2JnZ1dvdfPyspCdnY27OzsUF5ezjs3a9YsiMViqKmp4euvv8aSJUvQp0+feh8Y9zYvX76Eqqpqo+fVJmrnzp2LwYMHo1OnTkhMTIRAIOA97O748eMIDQ1t9PoikQg1NTVSe1ArPDwcxcXF3Ovu3buNvgYhhBBCCCGEEPK+0UPlCCH/aSEhIbwesrLaF8iSmZmJESNGYN68efDy8oJEIkFycjKWL19e7zxlZWXee4FAIPOYvCrTdxEcHIyRI0ciLi4OiYmJGDp0KNTU1GSO/e677/Dy5UtezJaWlhAIBMjLy+ONNTc3B/A6IfqmsLAwBAYGQiwWQ19fn2sp0bx5c2hpaeH3339v9H3o6uri6dOnjZ7XokULAECbNm24Y0KhEObm5vUm8g0MDPDw4UPesYcPH0o97O/JkydQV1eXuQ+11xIKhY2OmxBCCCGEEEII+TdRhTAh5D9NR0cHlpaW3Ktu39qzZ8/yxp49e5brW5uRkQFTU1PMnTsXjo6OsLKywu3bt997vCoqKgCA6upq7piFhQVUVFSQnp7OHausrMS5c+d4yU8fHx+oq6sjISEBhw4dqrddRMuWLbk9MTU1BQA0a9YMn376KdasWYMXL140KF5dXV1YWlrCwMCA119YQUEB/v7+2Lp1Kx48eCA1r7S0FFVVVTLXdHBwQFFRUaOTwp06dYJQKOQltCsrK1FQUMDdoywuLi44fvw479jRo0elKshzcnLg4ODQqJgIIYQQQgghhJAPDVUIE0I+aqWlpbh58yb3/tatW8jOzoaOjg5MTEzqnbtz5044Ojqia9eu2Lp1K7KysrievFZWVrhz5w6Sk5Ph5OSEAwcOIDU19b3eCwCYmppCIBBg//798PHxgUgkglgsxvjx4xEWFsbd19KlS1FWVobRo0dzcxUVFREYGIjw8HBYWVlJJTQbYu3atXBzc4OjoyOio6PRvn17KCgo4Ny5c/j999/RqVOnBq+1aNEinDx5Ep07d8aiRYvg6OgIZWVlpKWlYfHixTh37hy0tLSk5jk4OEBXVxfp6eno27cvd7yoqAhFRUXc1/vKlSvQ0NCAiYkJdHR0oKmpiZCQEERFRcHY2BimpqaIjY0FAF7rDA8PDwwcOJBrGzFlyhR0794dy5cvR58+fZCcnIzz589j/fr1vLjS0tLQq1evBt8/IYR8iAqW9GnqEAghhBBCSBOjCmFCyEft/PnzcHBw4Co3p02bBgcHB3z11VdvnTtv3jwkJyejffv22Lx5M7Zv385V3Pbr1w9Tp05FaGgoOnTogIyMDERGRr7XewFeV+7OmzcPs2fPhr6+Ppe0XLJkCQYPHoyRI0eiY8eOuHnzJg4fPgxtbW3e/NGjR6OiogKjRo36W9e3sLDApUuX4OnpifDwcNjb23MP25sxYwYWLFjQ4LV0dHRw9uxZfP7551i4cCEcHBzwySefYPv27YiNjYVEIpE5T1FREaNGjcLWrVt5x9etWwcHBweMGTMGANCtWzc4ODhg79693JjY2Fj4+/tj5MiRcHJywu3bt3HixAnePuXn5+Ovv/7i3ru6umLbtm1Yv3497O3t8dNPP2H37t1o27YtN+b+/fvIyMj42/tKCCGEEEIIIYR8KATsXZ78QwghHymBQIDU1FQMGDCgqUP5R6WlpcHDwwN3796Fvr5+U4fztxUVFcHOzg4XL16st93Dv2XWrFl4+vSpVNVwfUpKSiCRSFBcXAxNTc33GB0hhBBCCCGEENLw/4dShTAhhPwHlJeX4969e4iOjoafn99HnQwGXj/obePGjfU+DO7fpKen16jqaEIIIYQQQggh5ENFPYQJIeQ/YPv27Rg9ejQ6dOiAzZs3N3U4/4gPqXp7+vTpTR0CIYQQQgghhBDyj6AKYUI+ANHR0ejQocM7rVFQUACBQIDs7Ox/JKb6CAQC7N69+71f531ijL33hGNgYOC/ltQMDAxEdXU1Lly4gJYtW/6tNTZu3EgPTZPD398fy5cvb+owCCGEEEIIIYSQd0YJYUL+v9OnT8PX1xeGhoYfZcLT2NgYhYWF3IOwTp48CYFAgGfPnv3rsVy+fBnDhg2DsbExRCIRbG1tER8f/05r/hNJ8w8VYwwbNmyAi4sLNDU1IRaLYWdnhylTpuDmzZvcuOjoaAgEAggEAigpKcHMzAxTp05FaWkpb72UlBT06NEDEokEYrEY7du3x/z58/HkyRO5Mbx69QqRkZGIiorijl29ehWDBw+GmZkZBAIBVq5cKXPu/fv38fnnn6NZs2YQiURo164dzp8/X+8937lzB3369IGamhr09PQQFhaGqqoqqXGbNm1C165dAQC7du1Cr1690KxZM7k//CgqKsLIkSNhYGAAdXV1dOzYESkpKfXGArz+funYsSOEQiEsLS2RlJTEOx8REYFFixahuLj4rWsRQgghhBBCCCEfMmoZQcj/9+LFC9jb2yMoKAiDBg1q6nAaTVFREQYGBk0dBgDgwoUL0NPTw5YtW2BsbIyMjAyMHTsWioqKCA0Nberw3qqiogIqKir/yrUYYxg+fDh2796NOXPmIC4uDoaGhnjw4AFSU1OxcOFCXnLSzs4Ox44dQ1VVFdLT0xEUFISysjJ8++23AIC5c+fi66+/xtSpUxETEwNDQ0PcuHED69atww8//IApU6bIjOOnn36CpqYm3NzcuGNlZWUwNzeHn58fpk6dKnPe06dP4ebmhp49e+LgwYNo3rw5bty4AW1tbbn3XF1djT59+sDAwAAZGRkoLCzEF198AWVlZcTExPDG7tmzB/369QPw+nu0a9euGDJkCMaMGSNz7S+++ALPnj3D3r17oauri23btmHIkCE4f/48HBwcZM65desW+vTpg5CQEGzduhXHjx9HcHAwWrRoAS8vLwBA27ZtYWFhgS1btmDixIly740QQuQxm32gqUMAABQs6dPUIRBCCCGEkCZGFcKE/H/e3t5YuHAhBg4c2Kh5AoEACQkJ8Pb2hkgkgrm5OX766SfemFmzZsHa2hpqamowNzdHZGQkKisr5a5Z22ogJiYG+vr60NLSwvz581FVVYWwsDDo6OjAyMgIiYmJ3Jy6LSMKCgrQs2dPAIC2tjYEAgECAwMBvH742OTJk6GnpwdVVVV07doV586dA/A6OWlpaYlly5bx4snOzoZAIOBVq9YnKCgI8fHx6N69O8zNzfH5559j1KhR2LVrV73zTp48CWdnZ6irq0NLSwtubm64ffs2kpKSMG/ePFy+fJmrkK1Nkj579gzBwcFo3rw5NDU14e7ujsuXL3Nr5ufno3///tDX14dYLIaTkxOOHTvGu66ZmRkWLFiAL774Apqamhg7diyA15W2dnZ2EAqFMDMz47UMmD9/PleNXVeHDh0QGRnZoH0CgB07diA5ORk7duxAZGQkunTpAhMTE3Tp0gVff/0172sMAEpKSjAwMICRkRGGDh2KESNGYO/evQCArKwsxMTEYPny5YiNjYWrqyvMzMzw6aefIiUlBQEBAXLjSE5Ohq+vL++Yk5MTYmNj4e/vD6FQKHPe119/DWNjYyQmJsLZ2RmtWrVCr169YGFhIfdaR44cQW5uLrZs2YIOHTrA29sbCxYswDfffIOKigpu3KtXr3DkyBEuITxy5Eh89dVX8PT0lLt2RkYGJk2aBGdnZ5ibmyMiIgJaWlq4cOGC3Dnr1q1Dq1atsHz5ctja2iI0NBSfffYZ4uLieON8fX2RnJwsdx1CCCGEEEIIIeRjQAlhQv4BkZGRGDx4MC5fvowRI0bA398f165d485raGggKSkJubm5iI+Px4YNG6SSTW86ceIEHjx4gNOnT2PFihWIiopC3759oa2tjV9//RUhISEYN24c7t27JzXX2NiY+zX5vLw8FBYWci0bZs6ciZSUFGzatAkXL16EpaUlvLy88OTJEwgEAgQFBUklIRMTE9GtWzdYWlr+7T0qLi6Gjo6O3PNVVVUYMGAAunfvjt9++w2ZmZkYO3YsBAIBhg4diunTp8POzg6FhYUoLCzE0KFDAQB+fn549OgRDh48iAsXLqBjx47w8PDg2iOUlpbCx8cHx48fx6VLl9C7d2/4+vrizp07vOsvW7YM9vb2uHTpEiIjI3HhwgUMGTIE/v7+uHLlCqKjoxEZGcklooOCgnDt2jUumQ4Aly5dwm+//YZRo0Y1eF+2b98OGxsbLun5JoFAUO98kUjEJVG3bt0KsViMCRMmyByrpaUld50zZ87A0dGxYUHXsXfvXjg6OsLPzw96enpwcHDAhg0beGOio6NhZmbGvc/MzES7du2gr6/PHfPy8kJJSQmuXr3KHTt+/DhatmyJ1q1bNzgeV1dX7NixA0+ePEFNTQ2Sk5Px6tUr9OjRgxvTo0cP7gcktfG8mWT28vJCZmYm75izszOysrJQXl4u89rl5eUoKSnhvQghhBBCCCGEkA8NJYQJ+Qf4+fkhODgY1tbWWLBgARwdHbF69WrufEREBFet6evrixkzZuDHH3+sd00dHR2sWrUKNjY2CAoKgo2NDcrKyjBnzhxYWVkhPDwcKioqOHPmjNRcRUVFLvmqp6cHAwMDSCQSvHjxAgkJCYiNjYW3tzfatGmDDRs2QCQSYePGjQBeVyfn5eUhKysLAFBZWYlt27YhKCjob+9PRkYGduzYwVXeylJSUoLi4mL07dsXFhYWsLW1RUBAAExMTCASiSAWi7nqWAMDA4hEIpw5cwZZWVnYuXMnHB0dYWVlhWXLlkFLS4ur0ra3t8e4cePQtm1bWFlZYcGCBbCwsOCqamu5u7tj+vTpsLCwgIWFBVasWAEPDw9ERkbC2toagYGBCA0NRWxsLADAyMgIXl5evOR5YmIiVxXdUNevX4eNjQ3v2JdffgmxWAyxWAwjIyO5cy9cuIBt27bB3d0dAHDjxg2Ym5tDWVm5wdcHXldZFxcXw9DQsFHzAOCPP/5AQkICrKyscPjwYYwfPx6TJ0/Gpk2buDG6urq8iuGioiJeMhgA976oqIg7VrddREP9+OOPqKysRLNmzSAUCjFu3DikpqbyfphhYmKCFi1avDWekpISvHz5kjtmaGiIiooKXox1LV68GBKJhHsZGxs3KnZCCCGEEEIIIeTfQAlhQhooJiaGS9KJxWJehamLiwtvrIuLC69CeMeOHXBzc4OBgQHEYjEiIiKkKlTfZGdnBwWF//sW1dfXR7t27bj3ioqKaNasGR49etTge8jPz0dlZSWvT6yysjKcnZ25eA0NDdGnTx98//33AIB9+/ahvLwcfn5+Mtf09vbm9sTOzk7qfE5ODvr374+oqCj06tULwOsHitXdy5iYGOjo6CAwMBBeXl7w9fVFfHw8CgsL672fy5cvo7S0FM2aNeOtd+vWLeTn5wN4XSE8Y8YM2NraQktLC2KxGNeuXZPa/zerY69du8bbJwBwc3PDjRs3UF1dDQAYM2YMtm/fjlevXqGioqLexHlt9W7tKy0tTe59zZ07F9nZ2fjqq6+kHhh35coViMViiEQiODs7w8XFBWvWrAHwuuXH31Gb9FRVVW303JqaGnTs2BExMTFwcHDA2LFjMWbMGKxbt44bExoaiuPHjzdqXcYY9u3b1+iEcGRkJJ49e4Zjx47h/PnzmDZtGoYMGYIrV65wYzZv3ozFixc3al3gdTU28Lq3sizh4eEoLi7mXnfv3m30NQghhBBCCCGEkPeNHipHSAOFhIRgyJAh3PuGVlNmZmZixIgRmDdvHry8vCCRSJCcnMzrRyvLm1WeAoFA5rGampoG3kHDBQcHY+TIkYiLi0NiYiKGDh0KNTU1mWO/++47LqH4Zny5ubnw8PDA2LFjERERwR03NDREdnY29762mjkxMRGTJ0/GoUOHsGPHDkRERODo0aPo0qWLzGuXlpaiRYsWOHnypNS52vYIM2bMwNGjR7Fs2TJYWlpCJBLhs88+4/WqBQB1dfV690QWX19fCIVCpKamQkVFBZWVlfjss89kju3Xrx86d+7MvW/ZsiUAwMrKCnl5ebyxzZs3R/PmzaGnpye1jo2NDfbu3QslJSUYGhryHn5nbW2NM2fOoLKyslFVws2aNYNAIMDTp08bPKdWixYt0KZNG94xW1tbrmWJLAYGBlwFeq2HDx9y54DX/ZCrqqrg6ura4Fjy8/OxZs0a5OTkcD+csLe3R1paGr755htekvrNeGqvXzceTU1NLgkMgGtD0rx5c5nrCIVCub2WCSGEEEIIIYSQDwUlhAlpIB0dHbk9cM+ePYsvvviC997BwQHA63YJpqammDt3Lnf+9u3b7zdYgEsU1lazAoCFhQVUVFSQnp4OU1NTAK9bQpw7dw5ffvklN87Hxwfq6upISEjAoUOHcPr0abnXqU1svunq1atwd3dHQEAAFi1axDunpKQktx+xg4MDHBwcEB4eDhcXF2zbtg1dunSBiooK714AoGPHjigqKoKSkhKvR21d6enpCAwM5B4WWFpaioKCArn3U8vW1hbp6elSa1lbW0NRUZG7j4CAACQmJkJFRQX+/v68BGJdGhoa0NDQkDo+bNgwDB8+HHv27EH//v3fGpeKiorcvRs+fDhWrVqFtWvXYsqUKVLnnz17JrOPsIqKCtq0aYPc3Fyuiruh3NzcpBLa169f5z5fsri4uGDRokV49OgRl/Q+evQoNDU1ueTynj170KdPH26vG6K2crduZT3wupq+vh+cuLi44Oeff+YdO3r0qFTlf05ODoyMjKCrq9vgmAghhBBCCCGEkA8NJYQJ+f9KS0tx8+ZN7v2tW7eQnZ0NHR0dmJiY1Du3todt165dsXXrVmRlZXE9ea2srHDnzh0kJyfDyckJBw4cQGpq6nu9FwAwNTWFQCDA/v374ePjw/XhHT9+PMLCwrj7Wrp0KcrKyjB69GhurqKiIgIDAxEeHg4rKyupxNjb5OTkwN3dHV5eXpg2bRrXc1VRUVFudeWtW7ewfv169OvXD4aGhsjLy8ONGze4RLuZmRn3NTEyMoKGhgY8PT3h4uKCAQMGYOnSpbC2tsaDBw9w4MABDBw4kOsrvGvXLvj6+kIgECAyMrJBVdXTp0+Hk5MTFixYgKFDhyIzMxNr1qzB2rVreeOCg4Nha2sLAFIJ5Ibw9/fHrl274O/vj/DwcHh5eUFfXx+3b9/Gjh07GpUQ7dy5M2bOnInp06fj/v37GDhwIAwNDXHz5k2sW7cOXbt2lZkoBl4/RO3MmTO8HwxUVFQgNzeX+/P9+/eRnZ0NsVjMJaWnTp0KV1dXxMTEYMiQIcjKysL69euxfv16bp01a9YgNTWVaxvRq1cvtGnTBiNHjsTSpUtRVFSEiIgITJw4kauw3bt3L+bPn8+L8cmTJ7hz5w4ePHgAAFwiuravdOvWrWFpaYlx48Zh2bJlaNasGXbv3o2jR49i//793DpffPEFWrZsybWNCAkJwZo1azBz5kwEBQXhxIkT+PHHH3HgwAHe9dPS0hqdMCeEkFoFS/o0dQiEEEIIIYS8xgghjDHGfvnlFwZA6hUQEFDvPADsm2++YZ9++ikTCoXMzMyM7dixgzcmLCyMNWvWjInFYjZ06FAWFxfHJBIJdz4qKorZ29tz7wMCAlj//v15a3Tv3p1NmTKFd8zU1JTFxcUxxhi7desWA8AuXbrEnZ8/fz4zMDBgAoGAu4+XL1+ySZMmMV1dXSYUCpmbmxvLysqSuq/8/HwGgC1dulTmPaempsrdk6ioKJl7aWpqKndOUVERGzBgAGvRogVTUVFhpqam7KuvvmLV1dWMMcZevXrFBg8ezLS0tBgAlpiYyBhjrKSkhE2aNIkZGhoyZWVlZmxszEaMGMHu3LnD7UvPnj2ZSCRixsbGbM2aNVJ7WXcf6/rpp59YmzZtmLKyMjMxMWGxsbEyY//kk0+YnZ2d1HFZX0dZqqur2bp161jnzp2Zuro6U1FRYebm5mzMmDEsNzeXG/fm50SeHTt2sG7dujENDQ2mrq7O2rdvz+bPn8+ePn0qd87Vq1eZSCRiz549447VfqbefHXv3p03d9++faxt27ZMKBSy1q1bs/Xr1/POR0VFSX3tCwoKmLe3NxOJRExXV5dNnz6dVVZWMsYYu3nzJhMKhay0tJQ3JzExUWY8UVFR3Jjr16+zQYMGMT09Paampsbat2/PNm/ezFune/fuUt/Xv/zyC+vQoQO397Wfr1ovX75kEomEZWZmyt3DNxUXFzMArLi4uMFzCCGEEEIIIYSQv6uh/w8VMPY3n0JECAHwuo9vamoqBgwY0NSh/KPS0tLg4eGBu3fvQl9fv6nD+WAxxmBlZYUJEyZg2rRpTR3OO/Hz80PHjh0RHh7epHGsWLECx44dk2rj0JQSEhKQmpqKI0eONHhOSUkJJBIJiouLoamp+R6jI4QQQgghhBBCGv7/UAW5Zwgh/5PKy8tx7949REdHw8/Pj5LB9fjzzz+xZs0aFBUVYdSoUU0dzjuLjY2FWCxu6jBgZGTU5EnpNykrK2P16tVNHQYhhBBCCCGEEPLOqIcwIYRn+/btGD16NDp06IDNmzc3dTgfND09Pejq6mL9+vXQ1tZu6nDemZmZGSZNmtTUYWDIkCFNHYKU4ODgpg6BEEIIIYQQQgj5R1CFMPmfEh0djQ4dOrzTGgUFBRAIBMjOzgbwumXA+2oXIRAIsHv37veytjyBgYGorq7GhQsX0LJlS7nj3tyHv6tHjx68B5n9XWZmZli5cuU7r9MY3bt3x4gRIzB8+PB/9bp/V2RkJMaOHdvUYXyQ/P39sXz58qYOgxBCCCGEEEIIee8oIUz+dadPn4avry8MDQ2bJOH5royNjVFYWIi2bdsCAE6ePAmBQIBnz57967FcvnwZw4YNg7GxMUQiEWxtbREfH/+vx/Eudu3ahQULFnDvmyKx+75VVFQgNjYWHTt2hLq6OiQSCezt7REREYEHDx5w4wIDAyEQCCAQCKCiogJLS0vMnz8fVVVV3BjGGNavX4/OnTtDLBZDS0sLjo6OWLlyJcrKyuTGUFRUhPj4eMydO5c71tDvxWvXrqFfv36QSCRQV1eHk5MT7ty5U+89//bbb/jkk0+gqqoKY2NjLF26VOa4efPm4fPPPwcArF+/Hj169ICmpma931MHDhxA586dIRKJoK2t/dYfyFy9ehWDBw+GmZkZBAKBzM9XREQEFi1ahOLiYqlz0dHROHnyZL3XIIQQQgghhBBCPhbUMoL86168eAF7e3sEBQVh0KBBTR1OoykqKsLAwKCpwwAAXLhwAXp6etiyZQuMjY2RkZGBsWPHQlFREaGhoU0dXoPo6Og0dQjvVXl5OXr16oXffvsN8+bNg5ubG5o3b45bt25h+/btWL16NRYvXsyN7927NxITE1FeXo6ff/4ZEydOhLKyMtdTd+TIkdi1axciIiKwZs0aNG/eHJcvX8bKlSthZmYmNzn63XffwdXVFaamptyxhnwv5ufno2vXrhg9ejTmzZsHTU1NXL16FaqqqnLvuaSkBL169YKnpyfWrVuHK1euICgoCFpaWlIVynv27MHs2bMBAGVlZejduzd69+4tt4dwSkoKxowZg5iYGLi7u6Oqqgo5OTlyY6ld19zcHH5+fpg6darMMW3btoWFhQW2bNmCiRMnorKyEqtWrcLkyZO5MY8ePUJqairGjRtX7/UIIeRDZjb7wHtdv2BJn/e6PiGEEEIIeXdUIUz+dd7e3li4cCEGDhzYqHkCgQAJCQnw9vaGSCSCubk5fvrpJ96YWbNmwdraGmpqajA3N0dkZCQqKyvlrhkYGIgBAwYgJiYG+vr60NLS4ioyw8LCoKOjAyMjIyQmJnJz6rZKKCgoQM+ePQEA2traEAgECAwMBPA6ETh58mTo6elBVVUVXbt2xblz5wC8rvK0tLTEsmXLePFkZ2dDIBDg5s2bDdqToKAgxMfHo3v37jA3N8fnn3+OUaNGYdeuXfXOq73vefPmoXnz5tDU1ERISAgqKiq4MYcOHULXrl2hpaWFZs2aoW/fvsjPz5e7Zm2l9OHDh+Hg4ACRSAR3d3c8evQIBw8ehK2tLTQ1NTF8+HBeJWvdlhE9evTA7du3MXXqVK5StlZKSgrs7OwgFAphZmb21l/vf/bsGYKDg7n7c3d3x+XLl3ljEhISYGFhARUVFdjY2OCHH37g7W3fvn154ysrK6Gnp4eNGzfWe+264uLicObMGZw4cQKTJ09Gp06dYGJigu7du2PdunWIiYnhjRcKhTAwMICpqSnGjx8PT09P7N27FwDw448/YuvWrdi+fTvmzJkDJycnmJmZoX///jhx4gT3WZQlOTkZvr6+vGMN+V6cO3cufHx8sHTpUjg4OMDCwgL9+vWDnp6e3Dlbt25FRUUFvv/+e9jZ2cHf3x+TJ0/GihUreOPu3r2Lq1evonfv3gCAL7/8ErNnz0aXLl1krltVVYUpU6YgNjYWISEhsLa2Rps2bd7ac9jJyQmxsbHw9/eHUCiUO87X1xfJyckAwH323N3dcfXqVaSmpsLX1xdGRkb1XosQQgghhBBCCPnQUUKYfFQiIyMxePBgXL58GSNGjIC/vz+uXbvGndfQ0EBSUhJyc3MRHx+PDRs2IC4urt41T5w4gQcPHuD06dNYsWIFoqKi0LdvX2hra+PXX39FSEgIxo0bh3v37knNNTY2RkpKCgAgLy8PhYWFXMuGmTNnIiUlBZs2bcLFixdhaWkJLy8vPHnyBAKBAEFBQbxEMwAkJiaiW7dusLS0/Nt7VFxc3KCq2+PHj+PatWs4efIktm/fjl27dmHevHnc+RcvXmDatGk4f/48jh8/DgUFBQwcOBA1NTX1rhsdHY01a9YgIyMDd+/exZAhQ7By5Ups27YNBw4cwJEjR7B69WqZc3ft2gUjIyPMnz8fhYWFKCwsBPC6EnrIkCHw9/fHlStXEB0djcjISCQlJcmNw8/Pj0tGX7hwAR07doSHhweePHkCAEhNTcWUKVMwffp05OTkYNy4cRg1ahR++eUXAK8fInbo0CEuBgDYv38/ysrKMHTo0Lfub63t27fj008/hYODg8zzdZPesohEIi5Rv3XrVtjY2KB///4y15FIJDLXePLkCXJzc+Ho6NjguAGgpqYGBw4cgLW1Nby8vKCnp4fOnTtLtZYIDAxEjx49uPeZmZno1q0bVFRUuGNeXl7Iy8vD06dPuWN79+7lWkQ0xMWLF3H//n0oKCjAwcEBLVq0gLe3t1SFsJmZGaKjoxt1rwDg7OyMrKwslJeXQ0lJCdOnT8eqVavw888/48iRIzhy5Aj69JFf+VZeXo6SkhLeixBCCCGEEEII+dBQQph8VPz8/BAcHAxra2ssWLAAjo6OvORiREQEXF1dYWZmBl9fX8yYMQM//vhjvWvq6Ohg1apVsLGxQVBQEGxsbFBWVoY5c+bAysoK4eHhUFFRwZkzZ6TmKioqcslXPT09GBgYQCKR4MWLF0hISEBsbCy8vb3Rpk0bbNiwASKRiKsuDQwMRF5eHrKysgC8rj7dtm0bgoKC/vb+ZGRkYMeOHQ16cJiKigpXwdmnTx/Mnz8fq1at4hK+gwcPxqBBg2BpaYkOHTrg+++/x5UrV5Cbm1vvugsXLoSbmxscHBwwevRonDp1CgkJCXBwcMAnn3yCzz77jEu6vklHRweKiorQ0NCAgYEB15pjxYoV8PDwQGRkJKytrREYGIjQ0FDExsbKXOfMmTPIysrCzp074ejoCCsrKyxbtgxaWlpcVfmyZcsQGBiICRMmwNraGtOmTcOgQYO4qm1XV1epquHExET4+flBLBa/dX9rXb9+HTY2NrxjAwcOhFgshlgshqurq8x5jDEcO3YMhw8fhru7OwDgxo0bUms1xJ07d8AYg6GhYaPmPXr0CKWlpViyZAl69+6NI0eOYODAgRg0aBBOnTrFjWvRogVMTEy490VFRdDX1+etVfu+qKiIO7Znzx7069evwfH88ccfAF7/0CEiIgL79++HtrY2evTowSX6AcDCwgK6urqNulcAMDQ0REVFBYqKilBdXY34+HhMnjwZPj4+6NWrF3r37o1Dhw7Jnb948WJIJBLuZWxs3OgYCCGEEEIIIYSQ940SwuSDExMTwyXLxGIx7+FVLi4uvLEuLi68CuEdO3bAzc0NBgYGEIvFiIiIeOvDr+zs7KCg8H/fCvr6+mjXrh33XlFREc2aNcOjR48afA/5+fmorKyEm5sbd0xZWRnOzs5cvIaGhujTpw++//57AMC+fftQXl4OPz8/mWt6e3tze2JnZyd1PicnB/3790dUVBR69eoF4HUisO5e1m1PYG9vDzU1Ne69i4sLSktLcffuXQCvk4/Dhg2Dubk5NDU1YWZmxq1Zn/bt23N/1tfX59p31D3WmL0EXj/UrO5eAoCbmxtu3LiB6upqqfGXL19GaWkpmjVrxrv/W7ducW0v5K1Z9/MUHBzMVXE/fPgQBw8elJuwr+9z+6a1a9ciOzsbQUFBUg+C279/P8RiMVRVVeHt7Y2hQ4dy1a6MMblr1ufly5cAUG/fX1lqfzjQv39/TJ06FR06dMDs2bPRt29frFu3jhu3ePFibN68uVFrl5SU4NSpU41KCNfGM3fuXAwePBidOnVCYmIiBAIBdu7cyY07fvz43+qhLRKJALzuOVxTU4PKykocP34cdnZ2GDhwIHbv3o2CggK588PDw1FcXMy9ar+XCCGEEEIIIYSQDwk9VI58cEJCQng9QRta1ZiZmYkRI0Zg3rx58PLygkQiQXJy8lt7zSorK/PeCwQCmcfe1irh7wgODsbIkSMRFxeHxMREDB06lJekreu7777jEntvxpebmwsPDw+MHTsWERER3HFDQ0NkZ2dz7xvzADdfX1+Ymppiw4YNMDQ0RE1NDdq2bcvrMyxL3dj+zb2sq7S0FC1atMDJkyelzmlpaTV4nS+++AKzZ89GZmYmMjIy0KpVK3zyyScyx8r73FpZWSEvL483tkWLFgBkfz169uyJhIQEqKiowNDQEEpK//fXtLW1NX7//fcGx1+rtlr26dOnaN68eaPmKSkpoU2bNrzjtra2MivmaxkYGODhw4e8Y7Xva6u+Dx48iDZt2jSqirZ23+rGIxQKYW5u/tYfVDREbZVx8+bNoaysjBkzZvDO6+vrIyQkRO58oVBYb49iQgghhBBCCCHkQ0AJYfLB0dHRkZu4PHv2LL744gve+9rerBkZGTA1NcXcuXO587dv336/wQJcn9S6laq1DypLT0+HqakpgNctIc6dO8c9QA0AfHx8oK6ujoSEBBw6dAinT5+We52WLVvKPH716lW4u7sjICAAixYt4p1TUlKS24/48uXLePnyJVcVefbsWYjFYhgbG+Px48fIy8vDhg0buARofQnAf5KKiopU1a+trS3S09N5x9LT02FtbQ1FRUWpNTp27IiioiIoKSlxlc1vql0zICCAt2bdZGOzZs0wYMAAJCYmIjMzE6NGjZIbt7zP7bBhwxAREYFLly7J7SNcl7q6utyv2fDhw+Hv7489e/ZI9RFmjKGkpERmH2ELCwtoamoiNzcX1tbWb42hloqKCpycnKQS2tevX+c+17K4uLhg7ty5qKys5H4gcPToUdjY2EBbWxsAZN7D23Tq1AlCoRB5eXno2rUrgNffVwUFBfXG01A5OTkwMjKSajfxd/oRE0LIh6pgifxe6IQQQggh5H8DtYwg/7rS0lJkZ2dzlau3bt1CdnZ2gyr8du7cie+//x7Xr19HVFQUsrKyuF8Nt7Kywp07d5CcnIz8/HysWrUKqamp7/NWAACmpqYQCATYv38//vzzT5SWlkJdXR3jx49HWFgYDh06hNzcXIwZMwZlZWUYPXo0N1dRURGBgYEIDw+HlZWVVEuMt8nJyUHPnj3Rq1cvTJs2DUVFRSgqKsKff/751rkVFRUYPXo0cnNz8fPPPyMqKgqhoaFQUFCAtrY2mjVrhvXr1+PmzZs4ceIEpk2b1ui9+TvMzMxw+vRp3L9/H3/99RcAYPr06Th+/DgWLFiA69evY9OmTVizZo1UBWctT09PuLi4YMCAAThy5AgKCgqQkZGBuXPn4vz58wCAsLAwJCUlISEhATdu3MCKFSuwa9cuqTWDg4OxadMmXLt2jZc8bqipU6fCxcUFHh4eiI+Px8WLF3Hr1i0cPnwYBw8elJnQlmfIkCEYOnQohg0bhpiYGJw/fx63b9/G/v374enpKbc3s4KCAjw9PaWS+g35XgwLC8OOHTuwYcMG3Lx5E2vWrMG+ffswYcIEbkx4eDjvBzXDhw+HiooKRo8ejatXr2LHjh2Ij4/nPkNVVVU4ePCgVLuIoqIiZGdn4+bNmwCAK1euIDs7m6vc1dTUREhICKKionDkyBHk5eVh/PjxAMBrteLh4YE1a9Zw7ysqKrj7rKiowP3793nXqZWWlsa1WyGEEEIIIYQQQv6zGCH/sl9++YUBkHoFBATUOw8A++abb9inn37KhEIhMzMzYzt27OCNCQsLY82aNWNisZgNHTqUxcXFMYlEwp2Piopi9vb23PuAgADWv39/3hrdu3dnU6ZM4R0zNTVlcXFxjDHGbt26xQCwS5cucefnz5/PDAwMmEAg4O7j5cuXbNKkSUxXV5cJhULm5ubGsrKypO4rPz+fAWBLly6Vec+pqaly9yQqKkrmXpqamsqdU/e+v/rqK26/xowZw169esWNOXr0KLO1tWVCoZC1b9+enTx5khfPm/tQ+3V9+vQpt0ZiYiJv/2tjrvs1eHO/MzMzWfv27ZlQKGR1/4r66aefWJs2bZiysjIzMTFhsbGxvHXrfo0YY6ykpIRNmjSJGRoaMmVlZWZsbMxGjBjB7ty5w41Zu3YtMzc3Z8rKysza2ppt3rxZaq9qamqYqakp8/HxkTon67Miy6tXr9iSJUuYvb09E4lETCgUstatW7OpU6fy4pH1eXxTdXU1S0hIYE5OTkxNTY1pamqyTp06sfj4eFZWViZ33s8//8xatmzJqquruWMN/V7cuHEjs7S0ZKqqqsze3p7t3r2bdz4gIIB1796dd+zy5cusa9euTCgUspYtW7IlS5Zw544dO8aMjIykYpT3eU5MTOTGVFRUsOnTpzM9PT2moaHBPD09WU5ODm8dU1NTFhUVxb2v/ay++aob88uXL5lEImGZmZly97CxiouLGQBWXFz8j61JCCGEEEIIIYTI09D/hwoY+5tPKSLkXyYQCJCamooBAwY0dSj/qLS0NHh4eODu3bvQ19f/V64ZGBiIZ8+eYffu3f/K9T5mpaWlaNmyJRITEzFo0KCmDudvY4yhc+fOmDp1KoYNG9aksUyePBlVVVVYu3Ztk8ZRV0JCAlJTU3HkyJF/bM3aFh7FxcXQ1NT8x9YlhBBCCCGEEEJkaej/Q6mHMCFNpLy8HH/++Seio6Ph5+f3ryWDScPU1NTgr7/+wvLly6GlpSXV3uBjIxAIsH79ely5cqWpQ0Hbtm0b3R7lfVNWVsbq1aubOgxCCCGEEEIIIeS9ox7ChDSR7du3w9TUFM+ePcPSpUv/1hrR0dHo0KHDO8VRUFAAgUDA9ZF9nwQCQZNVJZuZmWHlypUNHn/nzh3o6+tj27Zt+P7776Gk1Pifn/Xo0YP3EMGm1qFDB4wcOVLmucjISIwdO/ZfiWPs2LFo167dv3KthgoODoaNjY3Mc/7+/li+fPm/HBEhhBBCCCGEEPJ+UEKYfDQYYx9ku4jTp0/D19cXhoaGjUp4BgYGorq6GhcuXEDLli3fb5BvSEpK4uI0NjZGYWEh2rZtCwA4efIkBAIBnj179q/GBACXL1/GsGHDYGxsDJFIBFtbW8THx//rcQCvE8iMMdy9exceHh7v9VoVFRWIjY1Fx44doa6uDolEAnt7e0RERODBgwfcuMDAQAgEAggEAqioqMDS0hLz589HVVUVgP/72sl6FRUVyb1+UVER4uPjMXfuXO5YQz/X165dQ79+/SCRSKCurg4nJ6e3PiDyt99+wyeffAJVVVUYGxvL/YHIvHnz8PnnnwMA1q9fjx49ekBTU1Pu5/P69evo378/dHV1oampia5du8p90F6tq1evYvDgwTAzM4NAIJD5Q4OIiAgsWrQIxcXF9a5FCCGEEEIIIYR8DKhlBCHv6MWLF7C3t0dQUNBH2WNWUVERBgYGTR0GAODChQvQ09PDli1bYGxsjIyMDIwdOxaKiooIDQ1t6vDei/LycvTq1Qu//fYb5s2bBzc3NzRv3hy3bt3C9u3bsXr1aixevJgb37t3byQmJqK8vBw///wzJk6cCGVlZYSHh3Nj8vLypHoF6enpyY3hu+++g6urK0xNTbljDflc5+fno2vXrhg9ejTmzZsHTU1NXL16FaqqqnKvVVJSgl69esHT0xPr1q3DlStXEBQUBC0tLakK5T179mD27NkAgLKyMvTu3Ru9e/fm3Wtdffv2hZWVFU6cOAGRSISVK1eib9++yM/Pl/sZLysrg7m5Ofz8/DB16lSZY9q2bQsLCwts2bIFEydOlHtvhBDyMTCbfaBR4wuW9HlPkRBCCCGEkKZCFcKEvCNvb28sXLgQAwcObNQ8gUCAhIQEeHt7QyQSwdzcHD/99BNvzKxZs2BtbQ01NTWYm5sjMjISlZWVctcMDAzEgAEDEBMTA319fWhpaXEVpGFhYdDR0YGRkRESExO5OXVbRhQUFKBnz54AAG1tbQgEAgQGBgJ4nbicPHky9PT0oKqqiq5du+LcuXMAXldvW1paYtmyZbx4srOzIRAIcPPmzQbtSVBQEOLj49G9e3eYm5vj888/x6hRo7Br1663zk1JSYGdnR2EQiHMzMze+iv+z549Q3BwMJo3bw5NTU24u7vj8uXLvDEJCQmwsLCAiooKbGxs8MMPP/Bi7du3L298ZWUl9PT0sHHjxgbdLwDExcXhzJkzOHHiBCZPnoxOnTrBxMQE3bt3x7p16xATE8MbLxQKYWBgAFNTU4wfPx6enp7Yu3cvb4yenh4MDAx4LwUF+X/dJycnw9fXl3esIZ/ruXPnwsfHB0uXLoWDgwMsLCzQr1+/epPPW7duRUVFBb7//nvY2dnB398fkydPxooVK3jj7t69i6tXr6J3794AgC+//BKzZ89Gly5dZK77119/4caNG5g9ezbat28PKysrLFmyBGVlZcjJyZEbj5OTE2JjY+Hv7w+hUCh3nK+vL5KTk+WeJ4QQQgghhBBCPhaUECakCUVGRmLw4MG4fPkyRowYAX9/f1y7do07r6GhgaSkJOTm5iI+Ph4bNmxAXFxcvWueOHECDx48wOnTp7FixQpERUWhb9++0NbWxq+//oqQkBCMGzcO9+7dk5prbGyMlJQUAK+rTAsLC7mWDTNnzkRKSgo2bdqEixcvwtLSEl5eXnjy5AkEAgGCgoJ4iWYASExMRLdu3WBpafm396i4uBg6Ojr1jrlw4QKGDBkCf39/XLlyBdHR0YiMjERSUpLcOX5+fnj06BEOHjyICxcuoGPHjvDw8MCTJ08AAKmpqZgyZQqmT5+OnJwcjBs3DqNGjeJaEAQHB+PQoUMoLCzk1ty/fz/KysowdOjQBt/f9u3b8emnn8LBwUHmeYFAUO98kUiEioqKBl/vTU+ePEFubi4cHR0bNa+mpgYHDhyAtbU1vLy8oKenh86dO0u1lggMDESPHj2495mZmejWrRtUVFS4Y15eXsjLy8PTp0+5Y3v37uVaRDREs2bNYGNjg82bN+PFixeoqqrCt99+Cz09PXTq1IkbZ2Zmhujo6EbdKwA4OzsjKysL5eXljZ5LCCGEEEIIIYR8SCghTEgT8vPzQ3BwMKytrbFgwQI4Ojpi9erV3PmIiAi4urrCzMwMvr6+mDFjBn788cd619TR0cGqVatgY2ODoKAg2NjYoKysDHPmzIGVlRXCw8OhoqKCM2fOSM1VVFTkkq+1VaYSiQQvXrxAQkICYmNj4e3tjTZt2mDDhg0QiURcNWxgYCDy8vKQlZUF4HW17LZt2xAUFPS39ycjIwM7dux468POVqxYAQ8PD0RGRsLa2hqBgYEIDQ1FbGyszPFnzpxBVlYWdu7cCUdHR1hZWWHZsmXQ0tLiqrSXLVuGwMBATJgwAdbW1pg2bRoGDRrEVUG7urpKVQ0nJibCz88PYrG4wfd4/fp1qYeZDRw4EGKxGGKxGK6urjLnMcZw7NgxHD58GO7u7rxzRkZG3HyxWAw7Ozu5179z5w4YYzA0NGxwzADw6NEjlJaWYsmSJejduzeOHDmCgQMHYtCgQTh16hQ3rkWLFjAxMeHeFxUVQV9fn7dW7fu6fY737NmDfv36NTgegUCAY8eO4dKlS9DQ0ICqqipWrFiBQ4cOQVtbmxtnYWEBXV3dRt0rABgaGqKioqLeXszl5eUoKSnhvQghhBBCCCGEkA8NJYQJec9iYmJ4ybm6D9xycXHhjXVxceFVCO/YsQNubm4wMDCAWCxGRETEWx/YZWdnx2sPoK+vj3bt2nHvFRUV0axZMzx69KjB95Cfn4/Kykq4ublxx5SVleHs7MzFa2hoiD59+uD7778HAOzbtw/l5eXw8/OTuaa3t3e9CcucnBz0798fUVFR6NWrF4DXycu6e1nbTuHatWu82ADAzc0NN27cQHV1tdTaly9fRmlpKZo1a8Zb79atW8jPz693zbpfn+DgYK4q+uHDhzh48KDcBHh9n4M3rV27FtnZ2QgKCkJZWRnv3P79+yEWi6Gqqgpvb28MHTpUquI1LS0N2dnZ3Ovnn3+We62XL18CQL19f2WpqakBAPTv3x9Tp05Fhw4dMHv2bPTt2xfr1q3jxi1evBibN29u1NolJSU4depUoxLCjDFMnDgRenp6SEtLQ1ZWFgYMGABfX19eFffx48f/Vj9qkUgEAFJfj7oWL14MiUTCvYyNjRt9HUIIIYQQQggh5H2jh8oR8p6FhIRgyJAh3PuGVmJmZmZixIgRmDdvHry8vCCRSJCcnPzW3rjKysq89wKBQOax2oTePyk4OBgjR45EXFwcEhMTMXToUKipqckc+91333HJyDfjy83NhYeHB8aOHYuIiAjuuKGhIbKzs7n3b2slIU9paSlatGiBkydPSp3T0tJq8DpffPEFZs+ejczMTGRkZKBVq1b45JNPZI6V9zmwsrJCXl4eb2yLFi0AyL6/nj17IiEhASoqKjA0NISSkvRf461atWrwfdRWyz59+hTNmzdv0JzaeUpKSmjTpg3vuK2trczq81oGBgZ4+PAh71jt+9oHvx08eBBt2rRpVEL1xIkT2L9/P54+fcq1mVi7di2OHj2KTZs2cQ+n+7tqW4nUt0fh4eGYNm0a976kpISSwoQQQgghhBBCPjiUECbkPdPR0ZGbuDx79iy++OIL3vvaXrIZGRkwNTXF3LlzufO3b99+v8ECXG/XupW1tQ9WS09Ph6mpKYDXLSHOnTuHL7/8khvn4+MDdXV1JCQk4NChQzh9+rTc67Rs2VLm8atXr8Ld3R0BAQFYtGgR75ySkpLMfsS2trZIT0/nHUtPT4e1tTUUFRWlxnfs2BFFRUVQUlKCmZmZzDhq1wwICOCtWTcB2qxZMwwYMACJiYnIzMzEqFGj5N6vvM/BsGHDEBERgUuXLsntI1yXurr6O/VkfpOFhQU0NTWRm5sLa2vrBs9TUVGBk5OTVDL7+vXr3GdEFhcXF8ydOxeVlZXcDwKOHj0KGxsbrrXDnj170L9//0bdR23l7psPz1NQUPhHfviRk5MDIyOjettNCIXCeh9MRwghhBBCCCGEfAgoIUzIOyotLcXNmze597du3UJ2djZ0dHR4vVNlqe1h27VrV2zduhVZWVlcT14rKyvcuXMHycnJcHJywoEDB5Camvpe7wUATE1NIRAIsH//fvj4+EAkEkEsFmP8+PEICwvj7mvp0qUoKyvD6NGjubmKiooIDAxEeHg4rKyspFpivE1OTg7c3d3h5eWFadOmcf1aFRUV663MnD59OpycnLBgwQIMHToUmZmZWLNmDdauXStzvKenJ1xcXDBgwAAsXboU1tbWePDgAQ4cOICBAwfC0dERYWFhGDJkCBwcHODp6Yl9+/Zh165dOHbsGG+t4OBg9O3bF9XV1bzkcUNNnToVBw4cgIeHB6KiovDJJ59AW1sb169fx8GDB2UmtN/m0aNHePXqFe9Ys2bNpCqxgdcJU09PT5w5cwYDBgz4f+zde1zO9/8/8MdV6uqqq64KnVPSYcWkKZYcK1Ikh+UU68iQGAqRpW2yoZJTCKU5ZA5NhG3mlBwXNclCk0NymIiKVNfr94df76+3rivlsGyf5/12u2437/f7de7dduvVs+eLu9+Y9zosLAwjRoxAz5490adPHxw4cAB79uzhRV6Hh4ejuLiYSxsxevRoREVFITAwELNmzUJeXh7i4+O5wxJramqwf/9+hIaG8sZ5584d3LlzhxvThQsXoK6ujjZt2kBbWxuOjo7Q0tKCr68vvvrqK4hEIiQmJuLatWsYMGAA146LiwuGDBnCpY14/vw58vPzuX8XFxcjJycHYrGYt/GemZnJpS4hhJB/s6LvBry+ECGEEEII+W9jhJC3cvjwYQag3sfX17fBegDYypUrWd++fZlQKGSmpqZs27ZtvDJhYWGsZcuWTCwWsxEjRrC4uDgmkUi455GRkczW1pa79vX1ZV5eXrw2evXqxaZOncq7Z2JiwuLi4hhjjF27do0BYOfPn+eef/3110xPT48JBAJuHk+fPmUhISGsVatWTCgUMicnJ3bmzJl68yosLGQA2KJFi2TOOS0tTe6aREZGylxLExMTuXXq7Nixg9nY2DAlJSXWpk0btnjxYrlzZoyxx48fs5CQEGZgYMCUlJSYsbEx8/HxYTdu3ODKrFq1ipmZmTElJSVmaWnJUlJS6vUrlUqZiYkJ8/DwqPdM1trL8uzZM/bdd98xW1tbJhKJmFAoZB999BGbNm0abzyyvr4vk/cuAmAnT56UW2/fvn3M0NCQ1dbWvratV9/r9evXM3Nzc6aiosJsbW3ZTz/9xHvu6+vLevXqxbuXm5vLunfvzoRCITM0NGTfffcd9+zgwYPMyMio3hjlvRtJSUlcmbNnz7J+/foxbW1tpq6uzj799FO2b98+XjsmJiYsMjKSu657/1/9vDzmp0+fMolE0uAaylJWVsYAsLKysibVI4QQQgghhBBC3kRjfw4VMMbYe91xJoTIJBAIkJaWxovK/C/IzMyEi4sLbt68CV1d3eYezntXXl4OQ0NDJCUlYejQoc09nDfCGEPXrl0xbdo0jBo1qlnHMmXKFNTU1MiN7m4OCQkJSEtLwy+//NKkeo8fP4ZEIkFZWRmX15gQQgghhBBCCHlfGvtzKKWMIIS8E1VVVbh//z7mz58Pb2/v//xmsFQqxd9//42YmBhoampi0KBBzT2kNyYQCLB27VpcuHChuYeCDh06NDnVyPumpKSE5cuXN/cwCCGEEEIIIYSQd4I2hAkh78TWrVsRGBiITp06cfli/8tu3LiBtm3bwsjICMnJyWjR4t/9n9NOnTqhU6dOzT0MjB8/vrmHUE9QUFBzD4EQQgghhBBCCHlnFF5fhBDyPjDG3jpdxPz58996E6+oqAgCgQA5OTlv1Y6fnx9qa2uRnZ0NQ0NDmWUEAgF++umnt+rnTZmammLp0qXvtD3GGG7evAkXFxeZZXr37o0vv/zynfX5vs2bN++D3JD9EIwcORIxMTHNPQxCCCGEEEIIIeSt0YYwIW/p2LFj8PT0hIGBQbNueL4pY2NjlJSUoEOHDgCAI0eOQCAQ4NGjR//4WHJzczFq1CgYGxtDJBLB2toa8fHx//g4/mnPnz/H4sWL8cknn0BNTQ0SiQS2traIiIjA7du3uXJ+fn4QCAQQCARQVlaGubk5vv76a9TU1HBlGGNYu3YtunbtCrFYDE1NTdjb22Pp0qWorKyUO4Y7d+4gPj4ec+fO5e419t2+dOkSBg0aBIlEAjU1NTg4OODGjRsNzvmPP/5Ajx49oKKiAmNjYyxatEhmuaioKIwZMwYAsHbtWvTu3RsaGhpy39HLly/Dy8sLrVq1goaGBrp3747Dhw83OJaLFy9i2LBhMDU1hUAgkPmLg4iICCxYsABlZWUNtkUIIYQQQgghhHzo/t1/40zIB6CiogK2trYICAj4Vx4qpqioCD09veYeBgAgOzsbOjo62LRpE4yNjXHixAmMHz8eioqKmDx5cnMP772oqqpCv3798McffyAqKgpOTk5o3bo1rl27hq1bt2L58uVYuHAhV75///5ISkpCVVUV9u3bh+DgYCgpKSE8PBwAMHbsWOzatQsRERFYsWIFWrdujdzcXCxduhSmpqZyo9LXrVuHbt26wcTEhLvXmHe7sLAQ3bt3R2BgIKKioqChoYGLFy9CRUVF7pwfP36Mfv36wdXVFatXr8aFCxcQEBAATU3NehHKu3fvxuzZswEAlZWV6N+/P/r378/N91UDBw6EhYUFDh06BJFIhKVLl2LgwIEoLCyU+55XVlbCzMwM3t7emDZtmswyHTp0QLt27bBp0yYEBwfLnRshhHzoTGdnNPcQPlhF3w1o7iEQQgghhPwjKEKYkLfk7u6Ob7/9FkOGDGlSPYFAgISEBLi7u0MkEsHMzAw7duzglZk1axYsLS2hqqoKMzMzzJs3D9XV1XLb9PPzw+DBgxEdHQ1dXV1oampyEaRhYWHQ1taGkZERkpKSuDovp4woKipCnz59AABaWloQCATw8/MD8GLjcsqUKdDR0YGKigq6d++Os2fPAngRlWpubo4lS5bwxpOTkwOBQICrV682ak0CAgIQHx+PXr16wczMDGPGjIG/vz927dr12ro7d+5E+/btIRQKYWpq+to/73/06BGCgoLQunVraGhowNnZGbm5ubwyCQkJaNeuHZSVlWFlZYUffviBN9aBAwfyyldXV0NHRwfr169v1HwBIC4uDsePH8ehQ4cwZcoUdO7cGW3atEGvXr2wevVqREdH88oLhULo6enBxMQEEydOhKurK9LT0wEAP/74IzZv3oytW7dizpw5cHBwgKmpKby8vHDo0CHuaytLamoqPD09efca827PnTsXHh4eWLRoEezs7NCuXTsMGjQIOjo6cuts3rwZz58/x4YNG9C+fXuMHDkSU6ZMQWxsLK/czZs3cfHiRfTv3x8A8OWXX2L27Nn49NNPZbb7999/48qVK5g9ezY6duwICwsLfPfdd6isrEReXp7c8Tg4OGDx4sUYOXIkhEKh3HKenp5ITU2V+5wQQgghhBBCCPk3oA1hQprRvHnzMGzYMOTm5sLHxwcjR47EpUuXuOfq6upITk5Gfn4+4uPjkZiYiLi4uAbbPHToEG7fvo1jx44hNjYWkZGRGDhwILS0tHD69GlMmDABX3zxBW7dulWvrrGxMXbu3AkAKCgoQElJCZeyYebMmdi5cyc2btyIc+fOwdzcHG5ubigtLYVAIEBAQABvoxkAkpKS0LNnT5ibm7/xGpWVlUFbW7vBMtnZ2Rg+fDhGjhyJCxcuYP78+Zg3bx6Sk5Pl1vH29sa9e/ewf/9+ZGdn45NPPoGLiwtKS0sBAGlpaZg6dSpmzJiBvLw8fPHFF/D39+fSDwQFBeHAgQMoKSnh2ty7dy8qKysxYsSIRs9v69at6Nu3L+zs7GQ+FwgEDdYXiUR4/vw5gBcbrVZWVvDy8pLZjkQikdlGaWkp8vPzYW9v3+hxA4BUKkVGRgYsLS3h5uYGHR0ddO3atV5qCT8/P/Tu3Zu7PnnyJHr27AllZWXunpubGwoKCvDw4UPuXnp6OpciojFatmwJKysrpKSkoKKiAjU1NVizZg10dHTQuXNnrpypqSnmz5/fpLkCQJcuXXDmzBlUVVU1uS4hhBBCCCGEEPKhoA1hQpqRt7c3goKCYGlpiW+++Qb29vZYvnw59zwiIgLdunWDqakpPD09ERoaih9//LHBNrW1tbFs2TJYWVkhICAAVlZWqKysxJw5c2BhYYHw8HAoKyvj+PHj9eoqKipym686OjrQ09ODRCJBRUUFEhISsHjxYri7u8PGxgaJiYkQiURcNKyfnx8KCgpw5swZAC+iZbds2YKAgIA3Xp8TJ05g27Ztrz3oLDY2Fi4uLpg3bx4sLS3h5+eHyZMnY/HixTLLHz9+HGfOnMH27dthb28PCwsLLFmyBJqamlyU9pIlS+Dn54dJkybB0tIS06dPx9ChQ7ko6G7dutWLGk5KSoK3tzfEYnGj53j58mVYWVnx7g0ZMgRisRhisRjdunWTWY8xhoMHD+Lnn3+Gs7MzAODKlSv12mqMGzdugDEGAwODJtW7d+8eysvL8d1336F///745ZdfMGTIEAwdOhRHjx7lyunr66NNmzbc9Z07d6Crq8trq+76zp073L3du3dj0KBBjR6PQCDAwYMHcf78eairq0NFRQWxsbE4cOAAtLS0uHLt2rVDq1atmjRXADAwMMDz5895Y3xZVVUVHj9+zPsQQgghhBBCCCEfGtoQJuQ9i46O5jb3xGIx77AtR0dHXllHR0dehPC2bdvg5OQEPT09iMViREREvPawrvbt20NB4f++tXV1dfHxxx9z14qKimjZsiXu3bvX6DkUFhaiuroaTk5O3D0lJSV06dKFG6+BgQEGDBiADRs2AAD27NmDqqoqeHt7y2zT3d2dW5P27dvXe56XlwcvLy9ERkaiX79+AF5sXL68lnXpFC5dusQbGwA4OTnhypUrqK2trdd2bm4uysvL0bJlS157165dQ2FhYYNtvvz1CQoK4qKi7969i/3798vdAG/oPXjVqlWrkJOTg4CAgHoHwe3duxdisRgqKipwd3fHiBEjuGhXxpjcNhvy9OlTAGgw768sUqkUAODl5YVp06ahU6dOmD17NgYOHIjVq1dz5RYuXIiUlJQmtf348WMcPXq0SRvCjDEEBwdDR0cHmZmZOHPmDAYPHgxPT09eJPdvv/32RjmpRSIRAMg9nG/hwoWQSCTcx9jYuMl9EEIIIYQQQggh7xsdKkfIezZhwgQMHz6cu25sFObJkyfh4+ODqKgouLm5QSKRIDU19bW5cZWUlHjXAoFA5r26zbx3KSgoCGPHjkVcXBySkpIwYsQIqKqqyiy7bt06biPy1fHl5+fDxcUF48ePR0REBHffwMAAOTk53PXrUknIU15eDn19fRw5cqTeM01NzUa38/nnn2P27Nk4efIkTpw4gbZt26JHjx4yy8p7DywsLFBQUMArq6+vD0D2/Pr06YOEhAQoKyvDwMAALVr833/GLS0t8eeffzZ6/HXqomUfPnyI1q1bN6leixYtYGNjw7tvbW0tMwK9jp6eHu7evcu7V3ddd/Db/v37YWNj06RN1UOHDmHv3r14+PAhl2Zi1apV+PXXX7Fx40bucLo3VZdORN4ahYeHY/r06dz148ePaVOYEEIIIYQQQsgHhzaECXnPtLW15W5cnjp1Cp9//jnvui6X7IkTJ2BiYoK5c+dyz69fv/5+BwtweV1fjqytO1gtKysLJiYmAF6khDh79iy+/PJLrpyHhwfU1NSQkJCAAwcO4NixY3L7MTQ0lHn/4sWLcHZ2hq+vLxYsWMB71qJFC5n5iK2trZGVlcW7l5WVBUtLSygqKtYr/8knn+DOnTto0aIFTE1NZY6jrk1fX19emy9vfrZs2RKDBw9GUlISTp48CX9/f7nzlfcejBo1ChERETh//rzcPMIvU1NTk5uTefTo0Rg5ciR2795dL48wYwyPHz+WmUe4Xbt20NDQQH5+PiwtLV87hjrKyspwcHCot6F9+fJl7j2RxdHREXPnzkV1dTX3y4Bff/0VVlZWXGoHWXN4nbrI3Zcj5Ouu38UvQPLy8mBkZCQ33YRQKGzwUDpCCCGEEEIIIeRDQBvChLyl8vJyXL16lbu+du0acnJyoK2tzcubKktdDtvu3btj8+bNOHPmDJeT18LCAjdu3EBqaiocHByQkZGBtLS09zoXADAxMYFAIMDevXvh4eEBkUgEsViMiRMnIiwsjJvXokWLUFlZicDAQK6uoqIi/Pz8EB4eDgsLi3opMV4nLy8Pzs7OcHNzw/Tp07lcrYqKig1Grs6YMQMODg745ptvMGLECJw8eRIrVqzAqlWrZJZ3dXWFo6MjBg8ejEWLFsHS0hK3b99GRkYGhgwZAnt7e4SFhWH48OGws7ODq6sr9uzZg127duHgwYO8toKCgjBw4EDU1tbyNo8ba9q0acjIyICLiwsiIyPRo0cPaGlp4fLly9i/f7/MDW15hg8fjrS0NG6TuV+/fmjdujUuXLiAuLg4hISEYPDgwfXqKSgowNXVFcePH+c9b8y7HRYWhhEjRqBnz57o06cPDhw4gD179vCir8PDw1FcXMyljRg9ejSioqIQGBiIWbNmIS8vD/Hx8dyBiTU1Ndi/fz9CQ0N547xz5w7u3LnDjenChQtQV1dHmzZtoK2tDUdHR2hpacHX1xdfffUVRCIREhMTce3aNQwYMIBrx8XFBUOGDOHSRjx//hz5+fncv4uLi5GTkwOxWMzbfM/MzOTSlxBCyL9V0XcDXl+IEEIIIYT8tzFCyFs5fPgwA1Dv4+vr22A9AGzlypWsb9++TCgUMlNTU7Zt2zZembCwMNayZUsmFovZiBEjWFxcHJNIJNzzyMhIZmtry137+voyLy8vXhu9evViU6dO5d0zMTFhcXFxjDHGrl27xgCw8+fPc8+//vprpqenxwQCATePp0+fspCQENaqVSsmFAqZk5MTO3PmTL15FRYWMgBs0aJFMueclpYmd00iIyNlrqWJiYncOnV27NjBbGxsmJKSEmvTpg1bvHix3Dkzxtjjx49ZSEgIMzAwYEpKSszY2Jj5+PiwGzducGVWrVrFzMzMmJKSErO0tGQpKSn1+pVKpczExIR5eHjUeyZr7WV59uwZ++6775itrS0TiURMKBSyjz76iE2bNo03Hllf31fV1tayhIQE5uDgwFRVVZmGhgbr3Lkzi4+PZ5WVlXLr7du3jxkaGrLa2lruXmPf7fXr1zNzc3OmoqLCbG1t2U8//cR77uvry3r16sW7l5uby7p3786EQiEzNDRk3333Hffs4MGDzMjIqN4Y5b0fSUlJXJmzZ8+yfv36MW1tbaaurs4+/fRTtm/fPl47JiYmLDIykruu+x549fPymJ8+fcokEgk7efKk3DV8VVlZGQPAysrKGl2HEEIIIYQQQgh5U439OVTA2BueQkQIeSsCgQBpaWkyIzb/zTIzM+Hi4oKbN29CV1e3uYfz3pWXl8PQ0BBJSUkYOnRocw/njTHG0LVrV0ybNg2jRo1q1rFMmTIFNTU1ciO8m0NCQgLS0tLwyy+/NLpOXYqOsrIyLqcxIYQQQgghhBDyvjT251BKGUEIeSeqqqpw//59zJ8/H97e3v/5zWCpVIq///4bMTEx0NTUxKBBg5p7SG9FIBBg7dq1uHDhQnMPBR06dGhyupH3TUlJCcuXL2/uYRBCCCGEEEIIIW+NNoQJIe/E1q1bERgYiE6dOnG5Yv/Lbty4gbZt28LIyAjJyclo0eLf/5/TTp06oVOnTs09DIwfP765h1BPUFBQcw+BEEIIIYQQQgh5JxReX4QQ8j4wxmSmi5g/f/5bb8oVFRVBIBAgJyfnrdppDIFAgJ9++gl+fn6ora1FdnY2DA0N37pdPz8/3vr07t0bX3755Vu321AfTWFqagrGGG7evAkXF5dG13sXX9/34cGDB9DR0UFRUVFzD+WDc+DAAXTq1AlSqbS5h0IIIYQQQgghhLw12hAmRIZjx47B09MTBgYG3Ibnv4mxsTFKSkrQoUMHAMCRI0cgEAjw6NGjf3wsubm5GDVqFIyNjSESiWBtbY34+Pgmt7Nr1y58880372GEH66dO3fC2dkZWlpaEIlEsLKyQkBAAM6fP8+VSU5OhkAggEAggIKCAoyMjODv74979+5xZRrzDi9YsABeXl4wNTXl7k2ZMgWdO3eGUCiUu4nNGMOSJUtgaWkJoVAIQ0NDLFiwoMG+GGP46quvoK+vD5FIBFdXV1y5cqVeuadPn0JNTQ1Xr15FSUkJRo8eDUtLSygoKMj95cDSpUthZWUFkUgEY2NjTJs2Dc+ePZM7lqKiIgQGBqJt27YQiURo164dIiMj8fz5c65M//79oaSkhM2bNzc4L0IIIYQQQggh5N/g3/83zoS8BxUVFbC1tUVAQMC/8qAwRUVF6OnpNfcwAADZ2dnQ0dHBpk2bYGxsjBMnTmD8+PFQVFTE5MmTG92Otrb2exzlh2fWrFmIiYnBlClTEBUVBRMTE9y/fx/79+9HeHg4Dhw4wJXV0NBAQUEBpFIpcnNz4e/vj9u3b+Pnn39uVF+VlZVYv369zPIBAQE4ffo0/vjjD5l1p06dil9++QVLlizBxx9/jNLSUpSWljbY36JFi7Bs2TJs3LgRbdu2xbx58+Dm5ob8/HyoqKhw5X799VeYmJjA3NwcRUVFaN26NSIiIhAXFyez3S1btmD27NnYsGEDunXrhsuXL8PPzw8CgQCxsbEy6/z555+QSqVYs2YNzM3NkZeXh3HjxqGiogJLlizhyvn5+WHZsmUYO3Zsg3MjhBB5TGdnNPcQAABF3w1o7iEQQgghhJBmRhHChMjg7u6Ob7/9FkOGDGlSPYFAgISEBLi7u0MkEsHMzAw7duzglZk1axYsLS2hqqoKMzMzzJs3D9XV1XLbrEtrEB0dDV1dXWhqauLrr79GTU0NwsLCoK2tDSMjIyQlJXF1Xk4ZUVRUhD59+gAAtLS0IBAI4OfnB+DFQXBTpkyBjo4OVFRU0L17d5w9exbAiyhOc3Nz3qYYAOTk5EAgEODq1auNWpOAgADEx8ejV69eMDMzw5gxY+Dv749du3Y1qn6dV1NGmJqaIjo6GgEBAVBXV0ebNm2wdu1aXp0LFy7A2dkZIpEILVu2xPjx41FeXi63D6lUioULF3LRora2tvW+fkePHkWXLl0gFAqhr6+P2bNno6amBgCQkpKCli1boqqqildn8ODBTdpIPHXqFBYtWoTY2FjExsaiR48eaNOmDTp37oyIiAjs37+fV14gEEBPTw8GBgZwd3fHlClTcPDgQTx9+rRR/e3btw9CoRCffvop7/6yZcsQHBwMMzMzmfUuXbqEhIQE7N69G4MGDULbtm3RuXNn9O3bV25fjDEsXboUERER8PLyQseOHZGSkoLbt2/Xi2Kuaxd48fWOj4/H559/DolEIrPtEydOwMnJCaNHj4apqSn69euHUaNG4cyZM3LH079/fyQlJaFfv34wMzPDoEGDEBoaWu/99PT0xO+//47CwkK5bRFCCCGEEEIIIf8GtCFMyDs2b948DBs2DLm5ufDx8cHIkSNx6dIl7rm6ujqSk5ORn5+P+Ph4JCYmyo14rHPo0CHcvn0bx44dQ2xsLCIjIzFw4EBoaWnh9OnTmDBhAr744gvcunWrXl1jY2Ps3LkTAFBQUICSkhIuZcPMmTOxc+dObNy4EefOnYO5uTnc3NxQWloKgUCAgIAA3kYzACQlJaFnz54wNzd/4zUqKyt7JxG/MTExsLe3x/nz5zFp0iRMnDgRBQUFAF5Eebu5uUFLSwtnz57F9u3bcfDgwQajkhcuXIiUlBSsXr0aFy9exLRp0zBmzBgcPXoUAFBcXAwPDw84ODggNzcXCQkJWL9+Pb799lsAgLe3N2pra5Gens61ee/ePWRkZCAgIKDR89q6dSvEYjEmTZok87lAIGiwvkgkglQq5TaqXyczMxOdO3du9Pjq7NmzB2ZmZti7dy/atm0LU1NTBAUF8SKE6345ceTIEQDAtWvXcOfOHbi6unJlJBIJunbtipMnT3L3pFIp9u7dCy8vr0aPp1u3bsjOzuY2gP/66y/s27cPHh4eXJm6FBsNkfV+tmnTBrq6usjMzGz0eAghhBBCCCGEkA8RbQgT8o55e3sjKCgIlpaW+Oabb2Bvb4/ly5dzzyMiItCtWzeYmprC09MToaGh+PHHHxtsU1tbG8uWLeNyyFpZWaGyshJz5syBhYUFwsPDoaysjOPHj9erq6ioyG1u6ejoQE9PDxKJBBUVFUhISMDixYvh7u4OGxsbJCYmQiQSYf369QBeRCcXFBRwG2zV1dXYsmVLkzY3X3XixAls27YN48ePf+M26nh4eGDSpEkwNzfHrFmz0KpVKxw+fBjAi/QBz549Q0pKCjp06ABnZ2esWLECP/zwA+7evVuvraqqKkRHR2PDhg1wc3ODmZkZ/Pz8MGbMGKxZswYAsGrVKhgbG2PFihX46KOPMHjwYERFRSEmJgZSqRQikQijR4/mbaJv2rQJbdq0Qe/evRs9r8uXL8PMzAwtWvxfVp/Y2FiIxWLuU1ZWJrPulStXsHr1atjb20NdXb1R/V2/fh0GBgaNHl+dv/76C9evX8f27duRkpKC5ORkZGdn47PPPuPKKCkpwcrKCqqqqgCAO3fuAAB0dXV5benq6nLPgBdR0gDQtWvXRo9n9OjR+Prrr9G9e3coKSmhXbt26N27N+bMmcOVkUgksLKyktvG1atXsXz5cnzxxRf1nhkYGOD69ety61ZVVeHx48e8DyGEEEIIIYQQ8qGhDWFC3kB0dDRvc+7GjRvcM0dHR15ZR0dHXoTwtm3b4OTkBD09PYjFYkRERPDqy9K+fXsoKPzft6uuri4+/vhj7lpRUREtW7bkHST2OoWFhaiuroaTkxN3T0lJCV26dOHGa2BggAEDBmDDhg0AXkSEVlVVwdvbW2ab7u7u3Jq0b9++3vO8vDx4eXkhMjIS/fr1AwDcuHGDt5bR0dGNnkPHjh25f9elTahbg0uXLsHW1hZqampcGScnJ0ilUi6K+GVXr15FZWUl+vbtyxtPSkoKlybg0qVLcHR05EWYOjk5oby8nIvOHjduHH755RcUFxcDeBGRWpfH9lWZmZm8vho6tCwgIAA5OTlYs2YNKioqwBjjnpWVlUEsFkNVVRVWVlbQ1dVt0gFoT58+5eXubSypVIqqqiqkpKSgR48e6N27N9avX4/Dhw9za2xoaIg///wTXbp0aVLbu3fvxsCBA3nv/escOXIE0dHRWLVqFc6dO4ddu3YhIyODdxjhkCFD8Oeff8qsX1xcjP79+8Pb2xvjxo2r91wkEqGyslJu/wsXLoREIuE+xsbGjR47IYQQQgghhBDyT6FD5Qh5AxMmTMDw4cO568ZGV548eRI+Pj6IioqCm5sbJBIJUlNTERMT02A9JSUl3rVAIJB5TyqVNnIGjRcUFISxY8ciLi4OSUlJGDFiBBft+ap169ZxeWtfHV9+fj5cXFwwfvx4REREcPcNDAyQk5PDXTcllcS7XIO63MIZGRkwNDTkPRMKhY1ux87ODra2tkhJSUG/fv1w8eJFZGTIPkjI3t6eN/e6qFkLCwscP34c1dXV3Bw1NTWhqakpMy2Iuro6zp07BwUFBejr60MkEjV6vADQqlUrPHz4sEl1AEBfXx8tWrSApaUld8/a2hrAi41+WZG4dYcd3r17F/r6+tz9u3fvolOnTtx1eno6vvvuuyaNZ968eRg7diyCgoIAAB9//DEqKiowfvx4zJ07t8HN5du3b6NPnz7o1q1bvVzUdUpLS9G6dWu5bYSHh2P69Onc9ePHj2lTmBBCCCGEEELIB4c2hAl5A9ra2nI3Lk+dOoXPP/+cd21nZwfgRboEExMTzJ07l3ve0J+gvyvKysoAgNraWu5eu3btoKysjKysLJiYmAB4kRLi7NmzvMPbPDw8oKamhoSEBBw4cADHjh2T28+rG6l1Ll68CGdnZ/j6+mLBggW8Zy1atHirfMTyWFtbIzk5GRUVFVyUcFZWFhQUFGRuVNrY2EAoFOLGjRvo1auX3DZ37twJxhgX8ZuVlQV1dXUYGRlx5YKCgrB06VIUFxfD1dVV7qagSCSSOfdRo0Zh+fLlWLVqFaZOnfrauSooKLzVGtrZ2WHTpk1Nrufk5ISamhoUFhaiXbt2AF6kuwDAvVOvatu2LfT09PDbb79xG8CPHz/G6dOnMXHiRAAv0l5cv369wcPpZKmsrKy36auoqAgAvIjqVxUXF6NPnz7o3LkzkpKSZG4cP3v2DIWFhdz3sixCobBJvzwghBBCCCGEEEKaA20IEyJDeXk5rl69yl1fu3YNOTk50NbWRps2bRqsu337dtjb26N79+7YvHkzzpw5w+XktbCwwI0bN5CamgoHBwdkZGQgLS3tvc4FeLE5JxAIsHfvXnh4eEAkEkEsFmPixIkICwvj5rVo0SJUVlYiMDCQq6uoqAg/Pz+Eh4fDwsKiXkqM18nLy4OzszPc3Nwwffp0Lk+soqJig9GWb8vHxweRkZHw9fXF/Pnzcf/+fYSEhGDs2LH18tcCL6JsQ0NDMW3aNEilUnTv3h1lZWXIysqChoYGfH19MWnSJCxduhQhISGYPHkyCgoKEBkZienTp/M2EUePHo3Q0FAkJiYiJSWlyWN3dHTEjBkzMGPGDFy/fh1Dhw6FsbExSkpKsH79eggEgialUngdNzc3hIeH4+HDh9DS0uLuX716FeXl5bhz5w6ePn3KRTPb2NhAWVkZrq6u+OSTTxAQEIClS5dCKpUiODgYffv25aKGi4uL4eLigpSUFHTp0gUCgQBffvklvv32W1hYWKBt27aYN28eDAwMMHjwYAAv0kW4urrWi0Sv67+8vBz3799HTk4OlJWVYWNjAwDw9PREbGws7Ozs0LVrV1y9ehXz5s2Dp6cntzGclpaG8PBwLm1EcXExevfuDRMTEyxZsgT379/n+quLZgZe/GJHKBQ2+f0nhJA6Rd8NaO4hEEIIIYQQAoA2hAmR6ffff0efPn2467o/A/f19UVycnKDdaOiopCamopJkyZBX18fW7du5TasBg0ahGnTpmHy5MmoqqrCgAEDMG/ePMyfP3VG/XcAAQAASURBVP99TQXAi8jdqKgozJ49G/7+/vj888+RnJyM7777DlKpFGPHjsWTJ09gb2+Pn3/+mbcpCACBgYGIjo6Gv79/k/vesWMH7t+/j02bNvGiUE1MTFBUVPS2U5NLVVUVP//8M6ZOnQoHBweoqqpi2LBhiI2NlVvnm2++QevWrbFw4UL89ddf0NTUxCeffMIdSmZoaIh9+/YhLCwMtra20NbWRmBgIC8FBvDi4LJhw4YhIyOD2+RsqiVLlqBLly5ISEjAhg0bUFlZCV1dXfTs2RMnT56EhobGG7Ury8cff4xPPvkEP/74I+8wtaCgIBw9epS7rouOvXbtGkxNTaGgoIA9e/YgJCQEPXv2hJqaGtzd3XkpUKqrq1FQUMDLvTtz5kwulcOjR4/QvXt3HDhwgMtjvHv3bvj6+tYb58vRudnZ2diyZQvvPYqIiIBAIEBERASKi4vRunVreHp68qLSy8rKeDmkf/31V1y9ehVXr17lRXkD/KjirVu3wsfHR266FEIIIYQQQggh5N9CwBr6O1pCSJMIBAKkpaW98SbghyozMxMuLi64efOmzOhaUp+Liwvat2+PZcuWNfdQGiUjIwNhYWHIy8t7p9HHTfX3339DX18ft27d+mDetb///htWVlb4/fff0bZt20bXe/z4MSQSCcrKyt7pBj4hhBBCCCGEECJLY38OpQhhQohcVVVVuH//PubPnw9vb+8PZoPuQ/bw4UMcOXIER44cwapVq5p7OI02YMAAXLlyBcXFxc16EFppaSliY2M/qHetqKgIq1atatJmMCGEEEIIIYQQ8qGiDWFCiFxbt25FYGAgOnXq9Ea5cP8X2dnZ4eHDh/j+++9lHl73IXv5MMHmYmlpyeUf/lDY29vD3t6+uYdBCCGEEEIIIYS8E833d8GE/AcxxpqULmL+/Pno1KnTW/VZVFQEgUDAHbj1Lvn5+aG2thbZ2dkwNDSEQCDATz/99F76eXndevfu/c43J1/t430pKipCWVkZQkND38nX95/y22+/wdraGrW1tc09lA/O7NmzERIS0tzDIIQQQgghhBBC3gnaECb/844dOwZPT08YGBi8tw3P98nY2BglJSXo0KEDAODIkSMQCAR49OjRPz6W3NxcjBo1CsbGxhCJRLC2tkZ8fHyT29m1axe++eab9zDCD9fOnTvh7OwMLS0tiEQiWFlZISAgAOfPn+fKJCcnQyAQQCAQQEFBAUZGRvD398e9e/e4MnXPX/2kpqY22P/MmTMREREBRUVFAEBJSQlGjx4NS0tLKCgoyN2gf/ToEYKDg6Gvrw+hUAhLS0vs27evwb5KS0vh4+MDDQ0NaGpqIjAwEOXl5fXKHT16lEtf0Zjv0/LyckyePBlGRkYQiUSwsbHB6tWrGxzLkSNH4OXlBX19faipqaFTp07YvHkzr0xoaCg2btyIv/76q8G2CCGEEEIIIYSQfwNKGUH+51VUVMDW1hYBAQEYOnRocw+nyRQVFaGnp9fcwwAAZGdnQ0dHB5s2bYKxsTFOnDiB8ePHQ1FREZMnT250O9ra2u9xlB+eWbNmISYmBlOmTEFUVBRMTExw//597N+/H+Hh4Thw4ABXVkNDAwUFBZBKpcjNzYW/vz9u376Nn3/+mSuTlJSE/v378/rQ1NSU2//x48dRWFiIYcOGcfeqqqrQunVrREREIC4uTma958+fo2/fvtDR0cGOHTtgaGiI69evN9gXAPj4+KCkpAS//vorqqur4e/vj/Hjx2PLli28crt374anpyeAxn2fTp8+HYcOHcKmTZtgamqKX375BZMmTYKBgQEGDRoks86JEyfQsWNHzJo1C7q6uti7dy8+//xzSCQSDBw4EADQqlUruLm5ISEhAYsXL25wboQQ8qEznZ3x2jJF3w34B0ZCCCGEEEKaC0UIk/957u7u+PbbbzFkyJAm1RMIBEhISIC7uztEIhHMzMywY8cOXplZs2bB0tISqqqqMDMzw7x581BdXS23zbq0BtHR0dDV1YWmpia+/vpr1NTUICwsDNra2jAyMkJSUhJX5+WUEUVFRejTpw8AQEtLCwKBAH5+fgBebPBNmTIFOjo6UFFRQffu3XH27FkAL1JdmJubY8mSJbzx5OTkQCAQ4OrVq41ak4CAAMTHx6NXr14wMzPDmDFj4O/vj127djWqfp1XU0aYmpoiOjoaAQEBUFdXR5s2bbB27VpenQsXLsDZ2RkikQgtW7bE+PHjZUad1pFKpVi4cCHatm0LkUgEW1vbel+/o0ePokuXLhAKhdDX18fs2bNRU1MDAEhJSUHLli1RVVXFqzN48GCMHTu20XM9deoUFi1ahNjYWMTGxqJHjx5o06YNOnfujIiICOzfv59XXiAQQE9PDwYGBnB3d8eUKVNw8OBBPH36lCujqakJPT093kdFRUXuGFJTU9G3b19eGVNTU8THx3Obo7Js2LABpaWl+Omnn+Dk5ARTU1P06tULtra2cvu6dOkSDhw4gHXr1qFr167o3r07li9fjtTUVNy+fZtXNj09ndvIbcz36YkTJ+Dr64vevXvD1NQU48ePh62tLc6cOSO3zpw5c/DNN9+gW7duaNeuHaZOnYr+/fvXe2c9PT1fG2VNCCGEEEIIIYT8G9CGMCFvYd68eRg2bBhyc3Ph4+ODkSNH4tKlS9xzdXV1JCcnIz8/H/Hx8UhMTJQbbVnn0KFDuH37No4dO4bY2FhERkZi4MCB0NLSwunTpzFhwgR88cUXuHXrVr26xsbG2LlzJwCgoKAAJSUlXMqGmTNnYufOndi4cSPOnTsHc3NzuLm5obS0FAKBAAEBAbyNZuBFpGnPnj1hbm7+xmtUVlb2TiJ+Y2JiYG9vj/Pnz2PSpEmYOHEiCgoKALyIHnVzc4OWlhbOnj2L7du34+DBgw1GJS9cuBApKSlYvXo1Ll68iGnTpmHMmDE4evQoAKC4uBgeHh5wcHBAbm4uEhISsH79enz77bcAAG9vb9TW1iI9PZ1r8969e8jIyEBAQECj57V161aIxWJMmjRJ5nOBQNBgfZFIBKlUym1Uv4nMzMw3OjQtPT0djo6OCA4Ohq6uLjp06IDo6GheHuK6NBd1Tp48CU1NTV5/rq6uUFBQwOnTp7l7Fy9exL179+Ds7Nzo8XTr1g3p6ekoLi4GYwyHDx/G5cuX0a9fP66Mn58fevfu3WA7st7ZLl264NatWygqKpJbr6qqCo8fP+Z9CCGEEEIIIYSQDw1tCBPyFry9vREUFARLS0t88803sLe3x/Lly7nnERER6NatG0xNTeHp6YnQ0FD8+OOPDbapra2NZcuWcTlkraysUFlZiTlz5sDCwgLh4eFQVlbG8ePH69VVVFTkNrJ0dHSgp6cHiUSCiooK7s/d3d3dYWNjg8TERIhEIqxfvx7Ai42ygoICLpqyuroaW7ZsadLm5qtOnDiBbdu2Yfz48W/cRh0PDw9MmjQJ5ubmmDVrFlq1aoXDhw8DALZs2YJnz54hJSUFHTp0gLOzM1asWIEffvgBd+/erddWVVUVoqOjsWHDBri5ucHMzAx+fn4YM2YM1qxZAwBYtWoVjI2NsWLFCnz00UcYPHgwoqKiEBMTA6lUCpFIhNGjR/M20Tdt2oQ2bdq8dsPxZZcvX4aZmRlatPi/DD6xsbEQi8Xcp6ysTGbdK1euYPXq1bC3t4e6ujp3f9SoUbz6YrEYN27ckDuG69evw8DAoNFjrvPXX39hx44dqK2txb59+zBv3jzExMRwm+YAIJFIYGVlxV3fuXMHOjo6vHZatGgBbW1t3Llzh7u3e/duuLm5QVlZudHjWb58OWxsbGBkZARlZWX0798fK1euRM+ePbky+vr6aNOmjdw2fvzxR5w9exb+/v68+3Xrc/36dbl1Fy5cCIlEwn3q8h8TQgghhBBCCCEfEtoQJuQ1oqOj5W6sOTo68so6OjryIoS3bdsGJycn6OnpQSwWIyIiosGNOQBo3749FBT+71tTV1cXH3/8MXetqKiIli1b8g4Se53CwkJUV1fDycmJu6ekpIQuXbpw4zUwMMCAAQOwYcMGAMCePXtQVVUFb29vmW26u7tza9K+fft6z/Py8uDl5YXIyEguQvPGjRu8tYyOjm70HDp27Mj9uy5tQt0aXLp0Cba2tlBTU+PKODk5QSqVclHEL7t69SoqKyvRt29f3nhSUlJQWFjIteno6MiLbnVyckJ5eTkXnT1u3Dj88ssvKC4uBvAiGtbPz09mVG9mZiavr1cPLntZQEAAcnJysGbNGlRUVIAxxj0rKyuDWCyGqqoqrKysoKurW6+tuLg45OTk8D4Nbfg+ffq0wZQS8kilUujo6GDt2rXo3LkzRowYgblz5/IOchsyZAj+/PPPJre9e/duuXl/5Vm+fDlOnTqF9PR0ZGdnIyYmBsHBwTh48CBXpi4yXJbDhw/D398fiYmJ9d5pkUgEAKisrJTbf3h4OMrKyrjPzZs3mzR+QgghhBBCCCHkn0CHyhHyGhMmTMDw4cO568ZGUp48eRI+Pj6IioqCm5sbJBIJUlNTERMT02A9JSUl3rVAIJB5TyqVNnIGjRcUFISxY8ciLi4OSUlJGDFiBFRVVWWWXbduHZe39tXx5efnw8XFBePHj0dERAR338DAADk5Odx1U1JJvMs1qMstnJGRAUNDQ94zoVDY6Hbs7Oxga2uLlJQU9OvXDxcvXkRGhuzDeuzt7Xlz19XVBQBYWFjg+PHjqK6u5uaoqakJTU1NmWlB1NXVce7cOSgoKEBfX5/bqHyZnp5ek9J8tGrVCg8fPmx0+Tr6+vpQUlKCoqIid8/a2hp37tzB8+fPZUb3vryRX6empgalpaXc4YglJSU4f/48Bgxo/KFGT58+xZw5c5CWlsbV69ixI3JycrBkyRK4uro2WP/o0aPw9PREXFwcPv/883rPS0tLAQCtW7eW24ZQKGzS+0MIIYQQQgghhDQH2hAm5DW0tbXlblyeOnWKt3l06tQp2NnZAXiRLsHExARz587lnjf05+bvSt0m3Mt5XNu1awdlZWVkZWXBxMQEwIuUEGfPnuUd3ubh4QE1NTUkJCTgwIEDOHbsmNx+Xt1IrXPx4kU4OzvD19cXCxYs4D1r0aLFW+Ujlsfa2hrJycmoqKjgooSzsrKgoKDAS1dQx8bGBkKhEDdu3ECvXr3ktrlz504wxriI36ysLKirq8PIyIgrFxQUhKVLl6K4uBiurq5y0wSIRCKZcx81ahSWL1+OVatWYerUqa+dq4KCwjtfQzs7O+Tn5ze5npOTE7Zs2QKpVMpFtV++fBn6+vpyUz04Ojri0aNHyM7ORufOnQG8yJstlUrRtWtXAC+i07t169akXxhUV1ejurqaF10PvIiof90vDo4cOYKBAwfi+++/l5veJC8vD0pKSjKj4QkhhBBCCCGEkH8T2hAm//PKy8tx9epV7vratWvIycmBtrZ2g7lGAWD79u2wt7dH9+7dsXnzZpw5c4bLyWthYYEbN24gNTUVDg4OyMjIQFpa2nudCwCYmJhAIBBg79698PDwgEgkglgsxsSJExEWFsbNa9GiRaisrERgYCBXV1FREX5+fggPD4eFhUW9lBivk5eXB2dnZ7i5uWH69OlcTlhFRcUGIyvflo+PDyIjI+Hr64v58+fj/v37CAkJwdixY7lI3Jepq6sjNDQU06ZNg1QqRffu3VFWVoasrCxoaGjA19cXkyZNwtKlSxESEoLJkyejoKAAkZGRmD59Om/TcfTo0QgNDUViYqLcVAQNcXR0xIwZMzBjxgxcv34dQ4cOhbGxMUpKSrB+/XoIBIJ6m5yv8+jRI14+3ro5v5xS42Vubm7YuHFjvft1Ec3l5eW4f/8+cnJyoKysDBsbGwDAxIkTsWLFCkydOhUhISG4cuUKoqOjMWXKFK6NtLQ0hIeHc2kjrK2t0b9/f4wbNw6rV69GdXU1Jk+ejJEjR3LR9+np6fXSRbzu+1RDQwO9evVCWFgYRCIRTExMcPToUaSkpCA2NparFx4ejuLiYu5rdfjwYQwcOBBTp07FsGHDuHVTVlbmbUhnZmaiR48eMiOyCSHk36Tou8b/9QUhhBBCCPmPYoT8jzt8+DADUO/j6+vbYD0AbOXKlaxv375MKBQyU1NTtm3bNl6ZsLAw1rJlSyYWi9mIESNYXFwck0gk3PPIyEhma2vLXfv6+jIvLy9eG7169WJTp07l3TMxMWFxcXGMMcauXbvGALDz589zz7/++mump6fHBAIBN4+nT5+ykJAQ1qpVKyYUCpmTkxM7c+ZMvXkVFhYyAGzRokUy55yWliZ3TSIjI2WupYmJidw6sub96pxfnm8dW1tbFhkZyV3/8ccfrE+fPkxFRYVpa2uzcePGsSdPnsjtQyqVsqVLlzIrKyumpKTEWrduzdzc3NjRo0e5MkeOHGEODg5MWVmZ6enpsVmzZrHq6up64x87dizT1tZmz549q7ceL399G7Jt2zbWu3dvJpFImJKSEjMyMmKjR49mp06d4sokJSXx3h9ZZK0/ALZw4UK5dR48eMBUVFTYn3/++dq2Xv1anjhxgnXt2pUJhUJmZmbGFixYwGpqanhjfvV/NQ8ePGCjRo1iYrGYaWhoMH9/f+5rVV5ezlRUVNiVK1d4dRrzfVpSUsL8/PyYgYEBU1FRYVZWViwmJoZJpVKujK+vL+vVqxfvWla7L5dhjDErKyu2detWuWsoS1lZGQPAysrKmlSPEEIIIYQQQgh5E439OVTA2EunFRFCGk0gECAtLQ2DBw9u7qG8U5mZmXBxccHNmzdlRteS+lxcXNC+fXssW7asuYfyxsLCwvD48WOsWbOmWcexa9cuREREvFEKi/dl//79mDFjBv744w+0aNH4P6x5/PgxJBIJysrKoKGh8R5HSAghhBBCCCGENP7n0Kb9HTIh5D+rqqoKt27dwvz58+Ht7U2bwY3w8OFDpKWl4ciRIwgODm7u4byVuXPnwsTE5L0cVtgUYrEY33//fbOO4VUVFRVISkpq0mYwIYQQQgghhBDyoaKfbgkhAICtW7ciMDAQnTp1eqNcuP+L7Ozs8PDhQ3z//fcyD6/7N9HU1MScOXOaexjo169fcw+hns8++6y5h0AIIYQQQgghhLwzFCFMyBtijL1Vuoj58+ejU6dObzWGoqIiCAQC7vCvt+Hn54fa2lpkZ2fD0NCw3nOBQICffvrprfuR1e/L69i7d298+eWX77WPd6WoqAhlZWUIDQ2t9+xdfH3/Sb/99husra1RW1vb3EP54MyePRshISHNPQxCCCGEEEIIIeSdoA1h8j/t2LFj8PT0hIGBwXvb8HyfjI2NUVJSgg4dOgAAjhw5AoFAgEePHv3jY8nNzcWoUaNgbGwMkUgEa2trxMfHN7mdXbt24ZtvvnkPI/xw7dy5E87OztDS0oJIJIKVlRUCAgJw/vx5rkxycjIEAgEEAgEUFBRgZGQEf39/3Lt3j9fW4cOH4eHhgZYtW0JVVRU2NjaYMWMGiouLGxzDzJkzERERAUVFRQBASUkJRo8eDUtLSygoKMjdpH/06BGCg4Ohr68PoVAIS0tL7Nu3r8G+SktL4ePjAw0NDWhqaiIwMBDl5eX1yh09ehTGxsYAGve9Wl5ejsmTJ8PIyAgikQg2NjZYvXp1g2M5cuQIvLy8oK+vDzU1NXTq1AmbN2/mlQkNDcXGjRvx119/NdgWIYQQQgghhBDyb0AbwuR/WkVFBWxtbbFy5crmHsobUVRUhJ6e3geR2zQ7Oxs6OjrYtGkTLl68iLlz5yI8PBwrVqxoUjva2tpQV1d/T6P88MyaNQsjRoxAp06dkJ6ejoKCAmzZsgVmZmYIDw/nldXQ0EBJSQlu3bqFxMRE7N+/H2PHjuWer1mzBq6urtDT08POnTuRn5+P1atXo6ysDDExMXLHcPz4cRQWFmLYsGHcvaqqKrRu3RoRERGwtbWVWe/58+fo27cvioqKsGPHDhQUFCAxMVFmhPnLfHx8cPHiRfz666/Yu3cvjh07hvHjx9crt3v3bnh6egJo3Pfq9OnTceDAAWzatAmXLl3Cl19+icmTJyM9PV1unRMnTqBjx47YuXMn/vjjD/j7++Pzzz/H3r17uTKtWrWCm5sbEhISGpwXIYR8SExnZ8j8EEIIIYQQAkYIYYwxBoClpaU1uuyqVatY//79mYqKCmvbti3bvn07r8zMmTOZhYUFE4lErG3btiwiIoI9f/6cex4ZGclsbW25a19fX+bl5cUWLFjAdHR0mEQiYVFRUay6upqFhoYyLS0tZmhoyDZs2MDVuXbtGgPAzp8/z/375Y+vry9jjLFnz56xkJAQ1rp1ayYUCpmTkxM7c+YMY4wxqVTK2rVrxxYvXswb//nz5xkAduXKlSavT51JkyaxPn36NFimbt51evXqxaZOncpdm5iYsAULFjB/f38mFouZsbExW7NmDa+NP/74g/Xp04epqKgwbW1tNm7cOPbkyRO5fdTW1rLo6GhmamrKVFRUWMeOHet9/Y4cOcIcHByYsrIy09PTY7NmzWLV1dWMMcY2btzItLW12bNnz3h1vLy82JgxYxhj9b++spw8eZIBYPHx8TKfS6VS7t9JSUlMIpHwni9YsIApKCiwyspKdvPmTaasrMy+/PJLmW09fPhQ7jiCg4PZZ599Jvf5q1+TOgkJCczMzIz3Xr9Ofn4+A8DOnj3L3du/fz8TCASsuLiYV7Zdu3Zs//799dqQ9y62b9+eff3117x7n3zyCZs7d26jx8cYYx4eHszf3593b+PGjczIyKhJ7ZSVlTEArKysrEn1CCHkXTCZtVfmhxBCCCGE/Hc19udQihAm5A3NmzcPw4YNQ25uLnx8fDBy5EhcunSJe66uro7k5GTk5+cjPj4eiYmJiIuLa7DNQ4cO4fbt2zh27BhiY2MRGRmJgQMHQktLC6dPn8aECRPwxRdf4NatW/XqGhsbY+fOnQCAgoIClJSUcCkbZs6ciZ07d2Ljxo04d+4czM3N4ebmhtLSUggEAgQEBCApKYnXXlJSEnr27Alzc/M3XqOysjJoa2u/cf06MTExsLe3x/nz5zFp0iRMnDgRBQUFAF5Ejrq5uUFLSwtnz57F9u3bcfDgQUyePFluewsXLkRKSgpWr16NixcvYtq0aRgzZgyOHj0KACguLoaHhwccHByQm5uLhIQErF+/Ht9++y0AwNvbG7W1tbzI03v37iEjIwMBAQGNntfWrVshFosxadIkmc8FAkGD9UUiEaRSKWpqarB9+3Y8f/4cM2fOlFlWU1NTbjuZmZmwt7dv9LjrpKenw9HREcHBwdDV1UWHDh0QHR3Ny0Ncl+qizsmTJ6Gpqcnrz9XVFQoKCjh9+jR37+LFi7h37x6cnZ0bPZ5u3bohPT0dxcXFYIzh8OHDuHz5Mu+gOj8/P/Tu3bvBdmS9t126dMGtW7dQVFQkt15VVRUeP37M+xBCCCGEEEIIIR8a2hAm5A15e3sjKCgIlpaW+Oabb2Bvb4/ly5dzzyMiItCtWzeYmprC09MToaGh+PHHHxtsU1tbG8uWLeNyyFpZWaGyshJz5syBhYUFwsPDoaysjOPHj9erq6ioyG1i6ejoQE9PDxKJBBUVFUhISMDixYvh7u4OGxsbJCYmQiQSYf369QBebJIVFBTgzJkzAIDq6mps2bKlSZubrzpx4gS2bdsmMxVAU3l4eGDSpEkwNzfHrFmz0KpVKxw+fBgAsGXLFjx79gwpKSno0KEDnJ2dsWLFCvzwww+4e/duvbaqqqoQHR2NDRs2wM3NDWZmZvDz88OYMWOwZs0aAMCqVatgbGyMFStW4KOPPsLgwYMRFRWFmJgYSKVSiEQijB49mreJvmnTJrRp0+a1m40vu3z5MszMzHgpP2JjYyEWi7lPWVmZzLpXrlzB6tWrYW9vD3V1dVy5cgUaGhrQ19dvdP91rl+/DgMDgybX++uvv7Bjxw7U1tZi3759mDdvHmJiYriNcwCQSCSwsrLiru/cuQMdHR1eOy1atIC2tjbu3LnD3du9ezfc3NygrKzc6PEsX74cNjY2MDIygrKyMvr374+VK1eiZ8+eXBl9fX20adNGbhs//vgjzp49C39/f979uvW5fv263LoLFy6ERCLhPnX5jwkhhBBCCCGEkA8JbQgT0oDo6Gje5tyNGze4Z46Ojryyjo6OvAjhbdu2wcnJCXp6ehCLxYiIiODVl6V9+/ZQUPi/b0tdXV18/PHH3LWioiJatmxZ7yCxhhQWFqK6uhpOTk7cPSUlJXTp0oUbr4GBAQYMGIANGzYAAPbs2YOqqip4e3vLbNPd3Z1bk/bt29d7npeXBy8vL0RGRnLRmTdu3OCtZXR0dKPn0LFjR+7fAoEAenp63BpcunQJtra2UFNT48o4OTlBKpVyUcQvu3r1KiorK9G3b1/eeFJSUlBYWMi16ejoyItsdXJyQnl5ORedPW7cOPzyyy/cYW3Jycnw8/OTGdWbmZnJ6+vVQ8teFhAQgJycHKxZswYVFRVgjHHPysrKIBaLoaqqCisrK+jq6nJtMcZeG1Esz9OnT6GiotLkelKpFDo6Oli7di06d+6MESNGYO7cubyD3IYMGYI///yzyW3v3r0bgwYNalKd5cuX49SpU0hPT0d2djZiYmIQHByMgwcPcmXqosNlOXz4MPz9/ZGYmFjvvRaJRACAyspKuf2Hh4ejrKyM+9y8ebNJ4yeEEEIIIYQQQv4JzX8SFSEfsAkTJmD48OHcdWOjKE+ePAkfHx9ERUXBzc0NEokEqampDR7sBbzYqH2ZQCCQeU8qlTZyBo0XFBSEsWPHIi4uDklJSRgxYgRUVVVlll23bh2ePn0qc8z5+flwcXHB+PHjERERwd03MDBATk4Od92UVBLvcg3Ky8sBABkZGfUOPxMKhY1ux87ODra2tkhJSUG/fv1w8eJFZGTIPqzH3t6eN3ddXV0AgIWFBY4fP47q6mpujpqamtDU1JSZFkRdXR3nzp2DgoIC9PX1uU1KALC0tERZWRlKSkqaHCXcqlUrPHz4sEl1gBfRtkpKSlBUVOTuWVtb486dO3j+/LnM6N6XN/Pr1NTUoLS0FHp6egCAkpISnD9/HgMGDGj0WJ4+fYo5c+YgLS2Nq9exY0fk5ORgyZIlcHV1bbD+0aNH4enpibi4OHz++ef1npeWlgIAWrduLbcNoVDYpHeIEEIIIYQQQghpDhQhTEgDtLW1YW5uzn1e/tP+U6dO8cqeOnUK1tbWAF6kSzAxMcHcuXNhb28PCwuLBv/U/F2p24B7OYdru3btoKysjKysLO5edXU1zp49CxsbG+6eh4cH1NTUkJCQgAMHDjSYLsLQ0JBbExMTE+7+xYsX0adPH/j6+mLBggW8Oi1atOCt5bvILQy82IDMzc1FRUUFdy8rKwsKCgq8VAV1bGxsIBQKcePGDd54zM3NuT/xt7a2xsmTJ3nRuVlZWVBXV4eRkRF3LygoCMnJyUhKSoKrq6vcFAEikYjXj7q6OgBg1KhRKC8vx6pVqxo1VwUFBZibm8PMzIy3GQwAn332GZSVlbFo0SKZdR89eiS3XTs7O+Tn5zdqDC9zcnLC1atXeZvzly9fhr6+vtxUD46Ojnj06BGys7O5e4cOHYJUKkXXrl0BvIhQ79atW5PekerqalRXV/Mi7IEXUfWv++XBkSNHMGDAAHz//fdyU5zk5eVBSUlJZkQ8IYQQQgghhBDyb0IRwuR/Wnl5Oa5evcpdX7t2DTk5OdDW1m4wzygAbN++Hfb29ujevTs2b96MM2fOcDl5LSwscOPGDaSmpsLBwQEZGRlIS0t7r3MBABMTEwgEAuzduxceHh4QiUQQi8WYOHEiwsLCuHktWrQIlZWVCAwM5OoqKirCz88P4eHhsLCwqJcS43Xy8vLg7OwMNzc3TJ8+ncsHq6io2GBU5dvy8fFBZGQkfH19MX/+fNy/fx8hISEYO3YsF4n7MnV1dYSGhmLatGmQSqXo3r07ysrKkJWVBQ0NDfj6+mLSpElYunQpQkJCMHnyZBQUFCAyMhLTp0/nbTiOHj0aoaGhSExMlJuGoCGOjo6YMWMGZsyYgevXr2Po0KEwNjZGSUkJ1q9fD4FAUG+DUx5jY2PExcVh8uTJePz4MT7//HOYmpri1q1bSElJgVgslhuh7ubmho0bN9a7XxfVXF5ejvv37yMnJwfKysrcLxImTpyIFStWYOrUqQgJCcGVK1cQHR2NKVOmcG2kpaUhPDycSxthbW2N/v37Y9y4cVi9ejWqq6sxefJkjBw5kovAT09Pr5cu4nXfqxoaGujVqxfCwsIgEolgYmKCo0ePIiUlBbGxsVy98PBwFBcXc1+vw4cPY+DAgZg6dSqGDRvGvbfKysq8DenMzEz06NGj3kY8IYR8qIq+a/xfWRBCCCGEkP8xjJD/YYcPH2YA6n18fX0brAeArVy5kvXt25cJhUJmamrKtm3bxisTFhbGWrZsycRiMRsxYgSLi4tjEomEex4ZGclsbW25a19fX+bl5cVro1evXmzq1Km8eyYmJiwuLo4xxti1a9cYAHb+/Hnu+ddff8309PSYQCDg5vH06VMWEhLCWrVqxYRCIXNycmJnzpypN6/CwkIGgC1atEjmnNPS0uSuSWRkpMy1NDExkVtH1rxfnfPL861ja2vLIiMjues//viD9enTh6moqDBtbW02btw49uTJE7l9SKVStnTpUmZlZcWUlJRY69atmZubGzt69ChX5siRI8zBwYEpKyszPT09NmvWLFZdXV1v/GPHjmXa2trs2bNn9dbj5a9vQ7Zt28Z69+7NJBIJU1JSYkZGRmz06NHs1KlTXJmkpCTe+yPPr7/+ytzc3JiWlhZTUVFhH330EQsNDWW3b9+WW+fBgwdMRUWF/fnnn7z7jfl6njhxgnXt2pUJhUJmZmbGFixYwGpqanjjfvV/NQ8ePGCjRo1iYrGYaWhoMH9/f+7rVV5ezlRUVNiVK1d4dRrzvVpSUsL8/PyYgYEBU1FRYVZWViwmJoZJpVKujK+vL+vVqxfvWla7L5dhjDErKyu2detWuWsoS1lZGQPAysrKmlSPEEIIIYQQQgh5E439OVTA2Et/E00IaRSBQIC0tDQMHjy4uYfyTmVmZsLFxQU3b96UGV1L6nNxcUH79u2xbNmy5h7KWwkLC8Pjx4+xZs2aZh3Hrl27EBER8UYpLN6X/fv3Y8aMGfjjjz94aWNe5/Hjx5BIJCgrK4OGhsZ7HCEhhBBCCCGEENL4n0MphzAhBFVVVbh16xbmz58Pb29v2gxuhIcPHyItLQ1HjhxBcHBwcw/nrc2dOxcmJibv5cDCphCLxfj++++bdQyvqqioQFJSUpM2gwkhhBBCCCGEkA8V/XRLCMHWrVsRGBiITp06vVEu3P9FdnZ2ePjwIb7//nuZh9f922hqamLOnDnNPQz069evuYdQz2effdbcQyCEEEIIIYQQQt4ZihAm/5Pmz5+PTp06vXF9xhg6deoEgUDAHbz1PgkEAvz000/vrX0/Pz/U1tYiOzsbhoaG762fl71uTkeOHIFAIMCjR4/klklOToampuY7H1tjFBUVoaysDKGhofWeve379b48ePAAOjo6KCoqau6hfHBmz56NkJCQ5h4GIYQQQgghhBDy3tGGMGk2x44dg6enJwwMDN77huf7YGxsjJKSEnTo0AFA4zYw35fc3FyMGjUKxsbGEIlEsLa2Rnx8/D8+jnepW7duKCkpgUQiae6hvFc7d+6Es7MztLS0IBKJYGVlhYCAAJw/f54rk5ycDIFAAIFAAAUFBRgZGcHf3x/37t3jyjTme2jBggXw8vKCqakpd2/KlCno3LkzhEKh3E1sxhiWLFkCS0tLCIVCGBoaYsGCBQ32xRjDV199BX19fYhEIri6uuLKlSv1yj19+hRqamq4evUqdu3ahb59+6J169bQ0NCAo6Mjfv7553p1Vq5cCVNTU6ioqKBr1644c+ZMg2N52dWrV6Gurl7vFwmhoaHYuHEj/vrrr3p1kpOTkZyc3Og+CCGEEEIIIYSQDxmljCDNpqKiAra2tggICMDQoUObezhNpqioCD09veYeBgAgOzsbOjo62LRpE4yNjXHixAmMHz8eioqKmDx58jvtq7q6GkpKSu+0TVmUlZU/mPV9X2bNmoWYmBhMmTIFUVFRMDExwf3797F//36Eh4fjwIEDXFkNDQ0UFBRAKpUiNzcX/v7+uH37tswNU1kqKyuxfv16meUDAgJw+vRp/PHHHzLrTp06Fb/88guWLFmCjz/+GKWlpSgtLW2wv0WLFmHZsmXYuHEj2rZti3nz5sHNzQ35+flQUVHhyv36668wMTGBubk5VqxYgb59+yI6OhqamppISkqCp6cnTp8+DTs7OwDAtm3bMH36dKxevRpdu3bF0qVL4ebmhoKCAujo6DQ4purqaowaNQo9evTAiRMneM9atWoFNzc3JCQkYPHixQCAuLg4BAUFcWWePHmCdevWYdq0aQ32Qwj5bzOdndHcQ3grRd8NaO4hEEIIIYSQZkYRwqTZuLu749tvv8WQIUOaVE8gECAhIQHu7u4QiUQwMzPDjh07eGVmzZoFS0tLqKqqwszMDPPmzUN1dbXcNv38/DB48GBER0dDV1cXmpqa+Prrr1FTU4OwsDBoa2vDyMgISUlJXJ2ioiIuZURRURH69OkDANDS0oJAIICfnx+AFwe2TZkyBTo6OlBRUUH37t1x9uxZAC+iKM3NzbFkyRLeeHJyciAQCHD16tVGrUlAQADi4+PRq1cvmJmZYcyYMfD398euXbsarHf27Fn07dsXrVq1gkQiQa9evXDu3Dlembr1HjRoENTU1LBgwQLU1tYiMDAQbdu25aJaZUUkb9iwAe3bt4dQKIS+vn69zem///4bQ4YMgaqqKiwsLJCens49kxVxnZycjDZt2kBVVRVDhgzBgwcP6vWZkJCAdu3aQVlZGVZWVvjhhx/qzWfdunVy+wWAo0ePokuXLty4Z8+ejZqaGgBASkoKWrZsiaqqKl6dwYMHY+zYsQ2sNt+pU6ewaNEixMbGIjY2Fj169ECbNm3QuXNnREREYP/+/fXGraenBwMDA7i7u2PKlCk4ePAgnj592qj+9u3bB6FQiE8//ZR3f9myZQgODoaZmZnMepcuXUJCQgJ2796NQYMGoW3btujcuTP69u0rty/GGJYuXYqIiAh4eXmhY8eOSElJwe3bt+tFMde1CwBLly7FzJkz4eDgAAsLC0RHR8PCwgJ79uzhysfGxmLcuHHw9/eHjY0NVq9eDVVVVWzYsOG1axAREYGPPvoIw4cPl/nc09MTqamp3LWWlhb69u2L48eP4/jx4+jbty+0tLRe2w8hhBBCCCGEEPIhow1h8q80b948DBs2DLm5ufDx8cHIkSNx6dIl7rm6ujqSk5ORn5+P+Ph4JCYmIi4ursE2Dx06hNu3b+PYsWOIjY1FZGQkBg4cCC0tLZw+fRoTJkzAF198gVu3btWra2xsjJ07dwIACgoKUFJSwm2Qzpw5Ezt37sTGjRtx7tw5mJubw83NDaWlpRAIBAgICOBtNANAUlISevbsCXNz8zdeo7KyMmhrazdY5smTJ/D19cXx48dx6tQpWFhYwMPDA0+ePOGVmz9/PoYMGYILFy4gICAAUqkURkZG2L59O/Lz8/HVV19hzpw5+PHHH7k6CQkJCA4Oxvjx43HhwgWkp6fXm09UVBSGDx+OP/74Ax4eHvDx8ZEbeXr69GkEBgZi8uTJyMnJQZ8+ffDtt9/yyqSlpWHq1KmYMWMG8vLy8MUXX8Df3x+HDx9udL/FxcXw8PCAg4MDcnNzkZCQgPXr13N9eXt7o7a2lreJfO/ePWRkZCAgIKDB9X7Z1q1bIRaLMWnSJJnPBQJBg/VFIhGkUim3Uf06mZmZ6Ny5c6PHV2fPnj0wMzPD3r170bZtW5iamiIoKIj3dar75ciRI0cAANeuXcOdO3fg6urKlZFIJOjatStOnjzJ3ZNKpdi7dy+8vLxk9i2VSvHkyRPuPX7+/Dmys7N57SooKMDV1ZXXrp+fH3r37s1r69ChQ9i+fTtWrlwpd65dunTBrVu3uBzLfn5++PHHH7F3717s3bsXP/74I/eLHlmqqqrw+PFj3ocQQgghhBBCCPnQ0IYw+Vfy9vZGUFAQLC0t8c0338De3h7Lly/nnkdERKBbt24wNTWFp6cnQkNDeZuVsmhra2PZsmVcDlcrKytUVlZizpw5sLCwQHh4OJSVlXH8+PF6dRUVFblNKx0dHejp6UEikaCiooL7E3R3d3fY2NggMTERIpEI69evB/Bi06mgoIDLg1pdXY0tW7Y0aXPxVSdOnMC2bdswfvz4Bss5OztjzJgx+Oijj2BtbY21a9eisrISR48e5ZUbPXo0/P39YWZmhjZt2kBJSQlRUVGwt7dH27Zt4ePjA39/f94af/vtt5gxYwamTp0KS0tLODg44Msvv+S16+fnh1GjRsHc3BzR0dEoLy+Xmw82Pj4e/fv3x8yZM2FpaYkpU6bAzc2NV2bJkiXw8/PDpEmTYGlpienTp2Po0KH1IrAb6nfVqlUwNjbGihUr8NFHH2Hw4MGIiopCTEwMpFIpRCIRRo8ezdvE37RpE9q0aVNvE7Ihly9fhpmZGVq0+L/MPbGxsRCLxdynrKxMZt0rV65g9erVsLe3h7q6eqP6u379OgwMDBo9vjp//fUXrl+/ju3btyMlJQXJycnIzs7GZ599xpVRUlKClZUVVFVVAQB37twBAOjq6vLa0tXV5Z4BL6KkAaBr164y+16yZAnKy8u5iN6///4btbW1r21XX18fbdq04a4fPHgAPz8/JCcnQ0NDQ+5c69bn+vXrAF58XYcPH44BAwZgwIABGD58ODZt2iS3/sKFCyGRSLiPsbGx3LKEEEIIIYQQQkhzoQ1h8sGKjo7mbY7duHGDe+bo6Mgr6+joyIsQ3rZtG5ycnKCnpwexWIyIiAhefVnat28PBYX/+5bQ1dXFxx9/zF0rKiqiZcuWvIO8XqewsBDV1dVwcnLi7ikpKaFLly7ceA0MDDBgwADuT9737NmDqqoqeHt7y2zT3d2dW5P27dvXe56XlwcvLy9ERkaiX79+AIAbN27w1jI6OhoAcPfuXYwbNw4WFhaQSCTQ0NBAeXl5vbWyt7ev18/KlSvRuXNntG7dGmKxGGvXruXq3bt3D7dv34aLi0uD69OxY0fu32pqatDQ0JC7vpcuXaq3cfjqe3Dp0iXeWgOAk5MT7914Xb+XLl2Co6MjL0LXyckJ5eXlXHT4uHHj8Msvv6C4uBjAi1QWfn5+MqN6MzMzeWu/efNm2YuBF6k/cnJysGbNGlRUVIAxxj0rKyuDWCyGqqoqrKysoKur22Bbr3r69Ckvd29jSaVSVFVVISUlBT169EDv3r2xfv16HD58GAUFBQAAQ0ND/Pnnn+jSpUuT2t69ezcGDhzI+76rs2XLFkRFReHHH398bW7gVy1cuBApKSnc9bhx4zB69Gj07NmzwXoikQjAi3zLwIv3+Ndff0WPHj3Qo0cP/Prrrw1+/4eHh6OsrIz73Lx5s0njJoQQQgghhBBC/gl0qBz5YE2YMIGX67Ox0Y0nT56Ej48PoqKi4ObmBolEgtTUVMTExDRY79WD0gQCgcx7Uqm0kTNovKCgIIwdOxZxcXFISkrCiBEjuGjLV61bt47LG/vq+PLz8+Hi4oLx48cjIiKCu29gYICcnBzuui6a2dfXFw8ePEB8fDxMTEwgFArh6OiI58+f89pVU1PjXaempiI0NBQxMTFwdHSEuro6Fi9ejNOnTwP4v4211/mn1vdd92tnZwdbW1ukpKSgX79+uHjxIjIyZB8yZG9vz1v7uuhWCwsLHD9+nHdIn6amJjQ1NWWmJVFXV8e5c+egoKAAfX39Rq9xnVatWuHhw4dNqgO8iLZt0aIFLC0tuXvW1tYAXvyiwcrKql6dusMA7969C319fe7+3bt30alTJ+46PT0d3333Xb36qampCAoKwvbt23npIVq1agVFRUXcvXuXV/7u3bsNHkB46NAhpKenc5HijDFIpVK0aNECa9eu5aLx69JgtG7dGgAwffp0Xjvq6ur17r1MKBRCKBTKfU4IIYQQQgghhHwIaEOYfLC0tbXl5sA9deoUPv/8c961nZ0dgBfpEkxMTDB37lzued2fgL9PysrKAIDa2lruXt3hZllZWTAxMQHwIiXE2bNneekTPDw8oKamhoSEBBw4cADHjh2T24+hoaHM+xcvXoSzszN8fX2xYMEC3rMWLVrIzEeclZWFVatWwcPDAwBw8+ZN/P3336+da1ZWFrp168bLf1tYWMj9W11dHaampvjtt9+4w/belrW1NbfhXKcu5cDLZbKysuDr68sbq42NTZP62blzJxhjXMRvVlYW1NXVYWRkxJULCgrC0qVLUVxcDFdXV7npAUQikcy1HzVqFJYvX45Vq1Zh6tSprx2XgoLCW+WUtrOzazDdgTxOTk6oqalBYWEh2rVrB+BFugsA3Dv9qrZt20JPTw+//fYbtwH8+PFjnD59GhMnTgTwIu3F9evX6x1Ot3XrVgQEBCA1NRUDBgzgPVNWVkbnzp3x22+/YfDgwQBeRDD/9ttv9Q4sfNnJkyd535e7d+/G999/jxMnTvC+n/Ly8qCkpFQv8r6hvMGEEEIIIYQQQsi/DW0Ik2ZTXl6Oq1evctfXrl1DTk4OtLW1efk/Zdm+fTvs7e3RvXt3bN68GWfOnOFy8lpYWODGjRtITU2Fg4MDMjIykJaW9l7nArzYHBMIBNi7dy88PDwgEokgFosxceJEhIWFcfNatGgRKisrERgYyNVVVFSEn58fwsPDYWFhUS8Vwuvk5eXB2dkZbm5umD59OpdPVVFRkYt2lMXCwgI//PAD7O3t8fjxY4SFhTUq8tTCwgIpKSn4+eef0bZtW/zwww84e/Ys2rZty5WZP38+JkyYAB0dHbi7u+PJkyfIyspCSEhIk+ZWZ8qUKXBycsKSJUvg5eWFn3/+GQcOHOCVCQsLw/Dhw2FnZwdXV1fs2bMHu3btwsGDBxvdz6RJk7B06VKEhIRg8uTJKCgoQGRkJKZPn85LbTB69GiEhoYiMTGRl56gsRwdHTFjxgzMmDED169fx9ChQ2FsbIySkhKsX78eAoFAZiqFN+Xm5obw8HA8fPgQWlpa3P2rV6+ivLwcd+7cwdOnT7loZhsbGygrK8PV1RWffPIJAgICsHTpUkilUgQHB6Nv375c1HBxcTFcXFyQkpKCLl26QCAQ4Msvv8S3334LCwsLtG3bFvPmzYOBgQG3kbt79264urryIuG3bNkCX19fxMfHo2vXrtx7LBKJIJFIALyI2vX19YW9vT26dOmCpUuXoqKiAv7+/lw74eHhKC4u5r4udRHNdX7//XcoKCigQ4cOvPuZmZno0aNHk6OvCSH/W4q+G/D6QoQQQgghhHzAKIcwaTa///477OzsuMje6dOnw87ODl999dVr60ZFRSE1NRUdO3ZESkoKtm7dykWBDho0CNOmTcPkyZPRqVMnnDhxAvPmzXuvcwFeRO5GRUVh9uzZ0NXV5SIWv/vuOwwbNgxjx47FJ598gqtXr+Lnn3/mbcoBQGBgIJ4/f87b2GqsHTt24P79+9i0aRP09fW5j4ODQ4P11q9fj4cPH+KTTz7B2LFjMWXKlEbla/3iiy8wdOhQjBgxAl27dsWDBw940cLAi3QUS5cuxapVq9C+fXsMHDgQV65cafLc6nz66adITExEfHw8bG1t8csvv/DSYgDA4MGDER8fjyVLlqB9+/ZYs2YNkpKSmnTYm6GhIfbt24czZ87A1tYWEyZMQGBgYL2+JBIJhg0bBrFYzG1yNtWSJUuwZcsWnD9/HgMHDoSFhQW8vb0hlUpx8uTJBg9Aa6qPP/4Yn3zySb3DFYOCgmBnZ4c1a9bg8uXL3Pfk7du3AbyITN6zZw9atWqFnj17YsCAAbC2tkZqairXRnV1NQoKCrjcuwAwc+ZMhISEYPz48XBwcEB5eTkOHDjA5THevXs3Bg0axBvL2rVrUVNTg+DgYN57/HIE9YgRI7BkyRJ89dVX6NSpE3JycnDgwAHeQXMlJSWvzRkuS2pqKsaNG9fkeoQQQgghhBBCyL+JgL18ahEh/wICgQBpaWlvvAn3ocrMzISLiwtu3rzJ29wiHy4XFxe0b98ey5Yta+6hNEpGRgbCwsKQl5f3TqOPm+rvv/+Gvr4+bt269cG86/v378eMGTPwxx9/oEWLd/PHM48fP4ZEIkFZWdk73dwnhBBCCCGEEEJkaezPoZQygpBmVlVVhfv372P+/Pnw9vb+YDbIiHwPHz7EkSNHcOTIEaxataq5h9NoAwYMwJUrV1BcXCw35/E/obS0FLGxsR/Uu15RUYGkpKR3thlMCCGEEEIIIYR8qOgnX0Ka2datWxEYGIhOnTq9US5a8s+zs7PDw4cP8f3338PKyqq5h9MkLx9m2FwsLS25/MMfis8++6y5h0AIIYQQQgghhPwjKIcw+ddhjDU5XcT8+fPRqVOnt+q3qKgIAoGAO3TrXfHz80NtbS2ys7NhaGgI4EVajJ9++umd9tPcXjenI0eOQCAQ4NGjR3LLJCcnQ1NT852PramKiopQVlaG0NBQAO/m/fqn/Pbbb7C2tkZtbW1zD+WD8+mnn2Lnzp3NPQxCCCGEEEIIIeS9og1h8o85duwYPD09YWBg8K/c8DQ2NkZJSQk6dOgAoHEbmO9Lbm4uRo0aBWNjY4hEIlhbWyM+Pv4fH8e71K1bN5SUlEAikTT3UN6rnTt3wtnZGVpaWhCJRLCyskJAQADOnz/PlUlOToZAIIBAIICCggKMjIzg7++Pe/fucWXqnr/6efmwN1lmzpyJiIgIKCoqAnhxANvo0aNhaWkJBQUFuRHEjx494g57EwqFsLS0xL59+xrsq7S0FD4+PtDQ0ICmpiYCAwNRXl5er9zRo0e5FBYLFy6Eg4MD1NXVoaOjg8GDB6OgoIBX/tmzZwgODkbLli0hFosxbNgw3L17t8GxvCw1NRUCgaDeL5YiIiIwe/ZsSKXSenX8/PxQVFTU6D4IIYQQQgghhJAPFW0Ik39MRUUFbG1tsXLlyuYeyhtRVFSEnp7eB5FjNDs7Gzo6Oti0aRMuXryIuXPnIjw8HCtWrHjnfVVXV7/zNmVRVlaGnp4eBALBP9Jfc5g1axZGjBiBTp06IT09HQUFBdiyZQvMzMwQHh7OK6uhoYGSkhLcunULiYmJ2L9/P8aOHcsrk5SUhJKSEt6noej548ePo7CwEMOGDePuVVVVoXXr1oiIiICtra3Mes+fP0ffvn1RVFSEHTt2oKCgAImJiVxEuzw+Pj64ePEifv31V+zduxfHjh3D+PHj65XbvXs3PD09AbzYHA4ODsapU6fw66+/orq6Gv369UNFRQVXftq0adizZw+2b9+Oo0eP4vbt2xg6dGiDY6lTVFSE0NBQ9OjRo94zd3d3PHnyBPv37wfwYkN75cqVePns1cLCQmzevLlRfRFCSHMxnZ0h90MIIYQQQghtCJN/jLu7O7799lsMGTKkSfUEAgESEhLg7u4OkUgEMzMz7Nixg1dm1qxZsLS0hKqqKszMzDBv3rwGNzL9/PwwePBgREdHQ1dXF5qamvj6669RU1ODsLAwaGtrw8jICElJSVydl1NGFBUVoU+fPgAALS0tCAQC+Pn5AXixwTZlyhTo6OhARUUF3bt3x9mzZwG8SHdhbm6OJUuW8MaTk5MDgUCAq1evNmpNAgICEB8fj169esHMzAxjxoyBv78/du3a1WC9s2fPom/fvmjVqhUkEgl69eqFc+fO8crUrfegQYOgpqaGBQsWoLa2FoGBgWjbti0X1SorInnDhg1o3749hEIh9PX1MXnyZN7zv//+G0OGDIGqqiosLCyQnp7OPZMVcZ2cnIw2bdpAVVUVQ4YMwYMHD+r1mZCQgHbt2kFZWRlWVlb44Ycf6s1n3bp1cvsFXmxCdunShRv37NmzUVNTAwBISUlBy5YtUVVVxaszePDgehu0DTl16hQWLVqE2NhYxMbGokePHmjTpg06d+6MiIgIbhPy5XHr6enBwMAA7u7umDJlCg4ePIinT59yZTQ1NaGnp8f7qKioyB1Damoq+vbtyytjamqK+Ph4fP7553Kjszds2IDS0lL89NNPcHJygqmpKXr16iV3AxkALl26hAMHDmDdunXo2rUrunfvjuXLlyM1NRW3b9/mlU1PT8egQYMAAAcOHICfnx/at28PW1tbJCcn48aNG8jOzgYAlJWVYf369YiNjYWzszM6d+6MpKQknDhxAqdOnZI7HgCora2Fj48PoqKiYGZmVu+5oqIiPDw8uChrFRUVFBcXo3///rh16xZWr14NPz8/tG3btsF+CCGEEEIIIYSQDxltCJN/hXnz5mHYsGHIzc2Fj48PRo4ciUuXLnHP1dXVkZycjPz8fMTHxyMxMRFxcXENtnno0CHcvn0bx44dQ2xsLCIjIzFw4EBoaWnh9OnTmDBhAr744gvcunWrXl1jY2Mu12hBQQFKSkq4DdKZM2di586d2LhxI86dOwdzc3O4ubmhtLQUAoEAAQEBvI1m4EWkZ8+ePWFubv7Ga1RWVgZtbe0Gyzx58gS+vr44fvw4Tp06BQsLC3h4eODJkye8cvPnz8eQIUNw4cIFBAQEQCqVwsjICNu3b0d+fj6++uorzJkzBz/++CNXJyEhAcHBwRg/fjwuXLiA9PT0evOJiorC8OHD8ccff8DDwwM+Pj4oLS2VOdbTp08jMDAQkydPRk5ODvr06YNvv/2WVyYtLQ1Tp07FjBkzkJeXhy+++AL+/v44fPhwo/stLi6Gh4cHHBwckJubi4SEBKxfv57ry9vbG7W1tbxN5Hv37iEjIwMBAQENrvfLtm7dCrFYjEmTJsl8/rrIaJFIBKlUym1Uv4nMzEzY29s3uV56ejocHR0RHBwMXV1ddOjQAdHR0bw8xHVpLuqcPHkSmpqavP5cXV2hoKCA06dPc/cuXryIe/fuwdnZWWbfZWVlAMC929nZ2aiuroarqytX5qOPPkKbNm1w8uRJ7p6pqSnmz5/Pa+vrr7+Gjo4OAgMD5c61S5cuyMzMBACoqqoiOjoaU6dOxZEjR3Dq1CkcOnQI3bp1k1m3qqoKjx8/5n0IIYQQQgghhJAPDiOkGQBgaWlpjS47YcIE3r2uXbuyiRMnyq2zePFi1rlzZ+46MjKS2dracte+vr7MxMSE1dbWcvesrKxYjx49uOuamhqmpqbGtm7dyhhj7Nq1awwAO3/+PGOMscOHDzMA7OHDh1yd8vJypqSkxDZv3szde/78OTMwMGCLFi1ijDFWXFzMFBUV2enTp7nnrVq1YsnJybw5N3Z9GGMsKyuLtWjRgv3888+NrsMYY7W1tUxdXZ3t2bOH1/eXX3752rrBwcFs2LBh3LWBgQGbO3eu3PIAWEREBHddXl7OALD9+/czxuqv56hRo5iHhwevjREjRjCJRMJdd+vWjY0bN45Xxtvbm1fvdf3OmTOHWVlZMalUypVZuXIlE4vF3PsxceJE5u7uzj2PiYlhZmZmXJ1X3y9Z+vfvzzp27Mi7FxMTw9TU1LjPo0ePGGOMJSUl8eZ5+fJlZmlpyezt7XnzUlFR4dVXU1Nj169flzsGiUTCUlJS5D7v1asXmzp1ar37VlZWTCgUsoCAAPb777+z1NRUpq2tzebPn8+V2bVrF7OysuKuFyxYwCwtLeu11bp1a7Zq1Speuc8++0zmeGpra9mAAQOYk5MTd2/z5s1MWVm5XlkHBwc2c+ZM7trZ2ZktX76cu87MzGSGhobs/v37jLEX/w3w8vKq187u3buZgoICq62tZU+fPmXz5s1j/fr1Yy4uLmzWrFmsZ8+e3PfuqyIjIxmAep+ysjKZ5Qkh5H0xmbVX7ocQQgghhPx3lZWVNernUIoQJh+M6OhoiMVi7nPjxg3umaOjI6+so6MjL0J427ZtcHJygp6eHsRiMSIiInj1ZWnfvj0UFP7vW0BXVxcff/wxd62oqIiWLVvyDvJ6ncLCQlRXV8PJyYm7p6SkhC5dunDjNTAwwIABA7BhwwYAwJ49e1BVVQVvb2+Zbbq7u3Nr0r59+3rP8/Ly4OXlhcjISPTr1w8AcOPGDd5aRkdHAwDu3r2LcePGwcLCAhKJBBoaGigvL6+3VrKiSFeuXInOnTujdevWEIvFWLt2LVfv3r17uH37NlxcXBpcn44dO3L/VlNTg4aGhtz1vXTpErp27cq79+p7cOnSJd5aA4CTkxPv3Xhdv5cuXYKjoyMvutXJyQnl5eVcdPi4cePwyy+/oLi4GMCLaFg/Pz+ZUb2ZmZm8tW8o32xAQABycnKwZs0aVFRU8HLVlpWVQSwWQ1VVFVZWVtDV1a3XVlxcHHJycngfAwMDuf09ffq0wZQS8kilUujo6GDt2rXo3LkzRowYgblz52L16tVcmSFDhuDPP/9sctu7d+/m0kW8Kjg4GHl5ea89KE+W3377jUtZ8uTJE4wdOxaJiYlo1apVg/XqIrGrqqpQWVkJXV1dHDhwAEZGRpgwYQI2bNiAy5cvy6wbHh6OsrIy7nPz5s0mj5sQQgghhBBCCHnfmv90LEL+vwkTJmD48OHcdUMbWy87efIklxfUzc0NEokEqampiImJabCekpIS71ogEMi8J5VKGzmDxgsKCsLYsWMRFxeHpKQkjBgxAqqqqjLLrlu3jssb++r48vPz4eLigvHjxyMiIoK7b2BggJycHO667s/tfX198eDBA8THx8PExARCoRCOjo54/vw5r101NTXedWpqKkJDQxETEwNHR0eoq6tj8eLF3J/+i0SiRs37n1rfd92vnZ0dbG1tkZKSgn79+uHixYvIyJB9MI+9vT1v7XV1dQEAFhYWOH78OKqrq7nxaGpqQlNTU2ZaEnV1dZw7dw4KCgrQ19eXucZ6enpNSjPSqlUrPHz4sNHl6+jr60NJSQmKiorcPWtra9y5cwfPnz+HsrKyzLG9utlfU1OD0tJS6OnpAQBKSkpw/vx5DBgwoF79yZMncwfRGRkZ8dp9/vw5Hj16BE1NTe7+3bt3uXZfVVhYiKKiIu7gOgDc179FixYoKChAu3btALw4SE5NTQ0ikQgikQjBwcG8ttq1a8eVfZVQKIRQKJT5jBBCCCGEEEII+VDQhjD5YGhra8vNgXvq1Cl8/vnnvGs7OzsAwIkTJ2BiYoK5c+dyz69fv/5+Bwtwm2Av51GtO9wsKysLJiYmAIDq6mqcPXsWX375JVfOw8MDampqSEhIwIEDB3Ds2DG5/RgaGsq8f/HiRTg7O8PX1xcLFizgPWvRooXMjcKsrCysWrUKHh4eAICbN2/i77//fu1cs7Ky0K1bN17+28LCQu7f6urqMDU1xW+//cYdtve2rK2teblmAdQ7NMza2hpZWVnw9fXljdXGxqZJ/ezcuROMMS7iNysrC+rq6ryNyKCgICxduhTFxcVwdXWFsbGxzPZEIpHMtR81ahSWL1+OVatWYerUqa8dl4KCwlvllJbFzs4O+fn5Ta7n5OSELVu2QCqVclH1ly9fhr6+vszNYOBFNPejR4+QnZ2Nzp07A3iRt1sqlXKR33v27EG3bt143/eMMYSEhCAtLQ1Hjhypd4Bb586doaSkhN9++w3Dhg0D8CKP940bN+pFkNf56KOPcOHCBd69iIgIPHnyBPHx8byvZV5eHvfflpclJyc3tESEEEIIIYQQQsi/Bm0Ik39MeXk5rl69yl1fu3YNOTk50NbWRps2bRqsu337dtjb26N79+7YvHkzzpw5g/Xr1wN4EXl548YNpKamwsHBARkZGUhLS3uvcwEAExMTCAQC7N27Fx4eHhCJRBCLxZg4cSLCwsK4eS1atAiVlZW8g6wUFRXh5+eH8PBwWFhYyN3IkicvLw/Ozs5wc3PD9OnTcefOHa7d1q1by61nYWGBH374Afb29nj8+DHCwsIaFd1rYWGBlJQU/Pzzz2jbti1++OEHnD17lrdZN3/+fEyYMAE6Ojpwd3fHkydPkJWVhZCQkCbNrc6UKVPg5OSEJUuWwMvLCz///DMOHDjAKxMWFobhw4fDzs4Orq6u2LNnD3bt2oWDBw82up9JkyZh6dKlCAkJweTJk1FQUIDIyEhMnz6dl1Jk9OjRCA0NRWJiIlJSUpo8H0dHR8yYMQMzZszA9evXMXToUBgbG6OkpATr16+HQCDg9dcYjx494r72ddTV1etFeNdxc3PDxo0b692vi2guLy/H/fv3kZOTA2VlZW5jfeLEiVixYgWmTp2KkJAQXLlyBdHR0ZgyZQrXRlpaGsLDw7m0EdbW1ujfvz/GjRuH1atXo7q6GpMnT8bIkSO56P/09PR66SKCg4OxZcsW7N69G+rq6tz8JBIJRCIRJBIJAgMDMX36dGhra0NDQwMhISFwdHTEp59+yrXj4uKCIUOGYPLkyVBRUUGHDh14/dRFF796PzMzk0u9Qggh/1ZF39X/ywtCCCGEEEI4/0RCY0IY+79Dw179+Pr6NlgPAFu5ciXr27cvEwqFzNTUlG3bto1XJiwsjLVs2ZKJxWI2YsQIFhcXxzuUS9ahcq8eKCXrQC0TExMWFxfHGKt/qBxjjH399ddMT0+PCQQCbh5Pnz5lISEhrFWrVkwoFDInJyd25syZevMqLCxkALjD5l6dc0OHysk7vMrExERuHcYYO3fuHLO3t2cqKirMwsKCbd++nTdHeX0/e/aM+fn5MYlEwjQ1NdnEiRPZ7Nmz6x2ktnr1amZlZcWUlJSYvr4+CwkJabBdiUTCkpKSGGOyD+lbv349MzIyYiKRiHl6erIlS5bwvq6MMbZq1SpmZmbGlJSUmKWlZb1D017XL2OMHTlyhDk4ODBlZWWmp6fHZs2axaqrq+ut39ixY5m2tjZ79uwZ735jDpWrs23bNta7d28mkUiYkpISMzIyYqNHj2anTp3iyrx6qJwssr7+ANjChQvl1nnw4AFTUVFhf/7552vbevVdOnHiBOvatSsTCoXMzMyMLViwgNXU1PDG/Or/Uh48eMBGjRrFxGIx09DQYP7+/uzJkyeMsReH+6moqLArV640al4vf72ePn3KJk2axLS0tJiqqiobMmQIKykp4bVjYmLCIiMj5a6FrP8G3Lp1iykpKbGbN2/KrdcUjU3mTwghhBBCCCGEvAuN/TlUwNhLpxgR8gESCARIS0vD4MGDm3so71RmZiZcXFxw8+ZNLs8s+bC5uLigffv2WLZsWXMP5Y2FhYXh8ePHWLNmTbOOY9euXYiIiHijFBbvy6xZs/Dw4UOsXbv2nbT3+PFjSCQSlJWVQUND4520SQghhBBCCCGEyNPYn0Ob9vfJhJC3VlVVhVu3bmH+/Pnw9vamzeB/gYcPH3I5bV89ZOzfZu7cuTAxMflHDvNriFgsxvfff9+sY3iVjo4Ovvnmm+YeBiGEEEIIIYQQ8l7RhjD5V5o/fz46der0Vm0UFRVBIBBw+VPfJ4FAgJ9++gkAsHXrVpiYmODRo0dYtGjRe+/7fXl5TrIcOXIEAoEAjx49klsmOTmZy+X6IXn1/bKzs4Ofnx++//57WFlZNd/A5Pjtt99gbW3NO+BQHk1NTcyZM6fJ+YrftX79+sHT07NZx/CqGTNmyPwFTX5+PoyMjFBRUdEMoyKEEEIIIYQQQt4t2hAmb+zYsWPw9PSEgYHBazcH3wZj7L2ki6g70KvuUKnGbGC+C35+fqitrUV2djYMDQ0BALm5uRg1ahSMjY0hEolgbW2N+Pj49zqO961bt24oKSmBRCJp7qG8taKiIpSVlSE0NLTes507d8LZ2RlaWloQiUSwsrJCQEAAzp8/z5VJTk6GQCDgDo4zMjKCv78/7t27x2vr8OHD8PDwQMuWLaGqqgobGxvMmDEDxcXFDY5v5syZiIiIgKKiIgCgpKQEo0ePhqWlJRQUFPDll1/KrPfo0SMEBwdDX18fQqEQlpaW2LdvX4N9lZaWwsfHBxoaGtDU1ERgYCDKy8vrlTt69CiMjY0BAAsXLoSDgwPU1dWho6ODwYMHo6CggFf+2bNnCA4ORsuWLSEWizFs2DDcvXu3wbG8LDU1FQKB4I3/W5GRkYGuXbtCJBJBS0uL146NjQ0+/fRTxMbGvlHbhBBCCCGEEELIh4Q2hMkbq6iogK2tLVauXNncQ3kjioqK0NPTQ4sWLZp7KMjOzoaOjg42bdqEixcvYu7cuQgPD8eKFSveeV/V1dXvvE1ZlJWVoaenB4FA8I/01xxmzZqFESNGoFOnTkhPT0dBQQG2bNkCMzMzhIeH88pqaGigpKQEt27dQmJiIvbv34+xY8dyz9esWQNXV1fo6elh586dyM/Px+rVq1FWVoaYmBi5Yzh+/DgKCwsxbNgw7l5VVRVat26NiIgI2Nrayqz3/Plz9O3bF0VFRdixYwcKCgqQmJjI/ZJCHh8fH1y8eBG//vor9u7di2PHjmH8+PH1yu3evZuLAD569CiCg4Nx6tQp/Prrr6iurka/fv14EbfTpk3Dnj17sH37dhw9ehS3b9/G0KFDGxxLnaKiIoSGhqJHjx6NKv+qnTt3YuzYsfD390dubi6ysrIwevRoXhl/f38kJCSgpqbmjfoghJAPhensDO5DCCGEEEL+R/0TJ9yR/z4ALC0trdFlV61axfr3789UVFRY27Zt2fbt23llZs6cySwsLJhIJGJt27ZlERER7Pnz59zzyMhIZmtry137+voyLy8vtmDBAqajo8MkEgmLiopi1dXVLDQ0lGlpaTFDQ0O2YcMGrs61a9cYAHb+/Hnu3y9/fH19GWOMPXv2jIWEhLDWrVszoVDInJyc2JkzZxhjjEmlUtauXTu2ePFi3vjPnz/PALArV640eX3qTJo0ifXp06fBMmfOnGGurq6sZcuWTENDg/Xs2ZNlZ2fzytStt6enJ1NVVWWRkZGspqaGBQQEMFNTU6aiosIsLS3Z0qVL67W/fv16ZmNjw5SVlZmenh4LDg7mtZuYmMgGDx7MRCIRMzc3Z7t37+aeHz58mAFgDx8+5O4lJSUxY2NjJhKJ2ODBg9mSJUuYRCLh9blq1SpmZmbGlJSUmKWlJUtJSak3n4b6ZYyxI0eOMAcHB27cs2bNYtXV1YwxxjZu3Mi0tbXZs2fPeHW8vLzYmDFjGGP13y9ZTp48yQCw+Ph4mc+lUilv3q/Oc8GCBUxBQYFVVlaymzdvMmVlZfbll1/KbOvlNXxVcHAw++yzz+Q+79WrF5s6dWq9+wkJCczMzIz3ffU6+fn5DAA7e/Ysd2///v1MIBCw4uJiXtl27dqx/fv3y2zn3r17DAA7evQoY4yxR48eMSUlJd5/By5dusQAsJMnTzY4ppqaGtatWze2bt067r8DLzMxMWELFixg/v7+TCwWM2NjY7ZmzRrueXV1NTM0NGTr1q1rsJ+qqiomFArZwYMHGyz3ssae7koIIf8kk1l7uQ8hhBBCCPlvaezPoRQhTJrFvHnzMGzYMOTm5sLHxwcjR47EpUuXuOfq6upITk5Gfn4+4uPjkZiYiLi4uAbbPHToEG7fvo1jx44hNjYWkZGRGDhwILS0tHD69GlMmDABX3zxBW7dulWvrrGxMXbu3AkAKCgoQElJCZeyYebMmdi5cyc2btyIc+fOwdzcHG5ubigtLYVAIEBAQACSkpJ47SUlJaFnz54wNzd/4zUqKyuDtrZ2g2WePHkCX19fHD9+HKdOnYKFhQU8PDzw5MkTXrn58+djyJAhuHDhAgICAiCVSmFkZITt27cjPz8fX331FebMmYMff/yRq5OQkIDg4GCMHz8eFy5cQHp6er35REVFYfjw4fjjjz/g4eEBHx8flJaWyhzr6dOnERgYiMmTJyMnJwd9+vTBt99+yyuTlpaGqVOnYsaMGcjLy8MXX3wBf39/HD58uNH9FhcXw8PDAw4ODsjNzUVCQgLWr1/P9eXt7Y3a2lqkp6dz7d27dw8ZGRkICAhocL1ftnXrVojFYkyaNEnm89dFRotEIkilUtTU1GD79u14/vw5Zs6cKbNsQ3mWMzMzYW9v3+hx10lPT4ejoyOCg4Ohq6uLDh06IDo6mpeHuC7VRZ2TJ09CU1OT15+rqysUFBRw+vRp7t7Fixdx7949ODs7y+y7rKwMALj3Ozs7G9XV1XB1deXKfPTRR2jTpg1OnjzJ3TM1NcX8+fN5bX399dfQ0dFBYGCg3LnGxMTA3t4e58+fx6RJkzBx4kQuZcW5c+dQXFwMBQUF2NnZQV9fH+7u7sjLy+O1oaysjE6dOiEzM1NuP4QQQgghhBBCyL/CP7RBTf7j0MQI4QkTJvDude3alU2cOFFuncWLF7POnTtz17IihE1MTFhtbS13z8rKivXo0YO7rqmpYWpqamzr1q2MMX6EMGOyI1rLy8uZkpIS27x5M3fv+fPnzMDAgC1atIgxxlhxcTFTVFRkp0+f5p63atWKJScn8+bclAjhrKws1qJFC/bzzz83ug5jjNXW1jJ1dXW2Z88eXt/yIk9fFhwczIYNG8ZdGxgYsLlz58otD4BFRERw1+Xl5QwAFxX66nqOGjWKeXh48NoYMWIEL3K2W7dubNy4cbwy3t7evHqv63fOnDnMysqKF6G7cuVKJhaLufdj4sSJzN3dnXseExPDzMzMuDqNiRDu378/69ixI+9eTEwMU1NT4z6PHj1ijNWPEL58+TKztLRk9vb23Hg0NDQa7E8eiURSL4r6ZfIihK2srJhQKGQBAQHs999/Z6mpqUxbW5vNnz+fK7Nr1y5mZWXFXS9YsIBZWlrWa6t169Zs1apVvHLyopZra2vZgAEDmJOTE3dv8+bNTFlZuV5ZBwcHNnPmTO7a2dmZLV++nLvOzMxkhoaG7P79+4wxJjdCuC7ym7EXkds6OjosISGBMcbY1q1bGQDWpk0btmPHDvb777+zUaNGsZYtW7IHDx7w2hoyZAjz8/OTOS/GXvw1QVlZGfe5efMmRQgTQj44FCFMCCGEEPLfRRHCpNlFR0dDLBZznxs3bnDPHB0deWUdHR15EcLbtm2Dk5MT9PT0IBaLERERwasvS/v27aGg8H+vtK6uLj7++GPuWlFRES1btqx3kFdDCgsLUV1dDScnJ+6ekpISunTpwo3XwMAAAwYMwIYNGwAAe/bsQVVVFby9vWW26e7uzq1J+/bt6z3Py8uDl5cXIiMj0a9fPwDAjRs3eGsZHR0NALh79y7GjRsHCwsLSCQSaGhooLy8vN5ayYogXblyJTp37ozWrVtDLBZj7dq1XL179+7h9u3bcHFxaXB9OnbsyP1bTU0NGhoactf30qVL6Nq1K+/eq+/BpUuXeGsNAE5OTrx343X9Xrp0CY6OjrzIVicnJ5SXl3PR4ePGjcMvv/zCHdaWnJwMPz8/mVG9mZmZvLXfvHmz7MUAEBAQgJycHKxZswYVFRVgjHHPysrKIBaLoaqqCisrK+jq6nJtMcbeONfy06dPoaKi0uR6UqkUOjo6WLt2LTp37owRI0Zg7ty5WL16NVdmyJAh+PPPP5vc9u7duzFo0CCZz4KDg5GXl4fU1NQmt/vbb79h8uTJAF5Ex48dOxaJiYlo1apVg/Vefl8EAgH09PS490UqlQIA5s6di2HDhqFz585ISkqCQCDA9u3bee2IRCJUVlbK7WfhwoWQSCTcp+5QPUIIIYQQQggh5EPS/Kdpkf+sCRMmYPjw4dy1gYFBo+qdPHkSPj4+iIqKgpubGyQSCVJTUxs8WAt4sVH7MoFAIPNe3QbQuxQUFISxY8ciLi4OSUlJGDFiBFRVVWWWXbduHZ4+fSpzzPn5+XBxccH48eMRERHB3TcwMEBOTg53Xfen9r6+vnjw4AHi4+NhYmICoVAIR0dHPH/+nNeumpoa7zo1NRWhoaGIiYmBo6Mj1NXVsXjxYu7P/kUiUaPm/U+t77vu187ODra2tkhJSUG/fv1w8eJFZGTIPlzH3t6et/a6uroAAAsLCxw/fhzV1dXceDQ1NaGpqSkzLYm6ujrOnTsHBQUF6Ovr89bY0tISZWVlKCkpgb6+fqPnAQCtWrXCw4cPm1QHAPT19aGkpARFRUXunrW1Ne7cuYPnz59DWVm5Xp2XN1Lr1NTUoLS0FHp6egCAkpISnD9/HgMGDKhXf/LkydxBdEZGRrx2nz9/jkePHvHSY9y9e5dr91WFhYUoKiriDq4D/m9zt0WLFigoKEC7du0ANPy+1K23jY0N91woFMLMzKzeL1ZKS0u5NmUJDw/H9OnTuevHjx/TpjAhhBBCCCGEkA8ORQiT90ZbWxvm5ubcp0WL//v9w6lTp3hlT506BWtrawDAiRMnYGJigrlz58Le3h4WFha4fv36ex9v3QbYyzlU27VrB2VlZWRlZXH3qqurcfbsWd4GkoeHB9TU1JCQkIADBw40mIvW0NCQWxMTExPu/sWLF9GnTx/4+vpiwYIFvDotWrTgrWXdhnBWVhamTJkCDw8PtG/fHkKhEH///fdr55qVlYVu3bph0qRJsLOz+3/s3Xlcjfn/P/7HmdbTOXVUJGnTqqJkSYssYzmFZJ9oaJGxJctIhZSt7NtEjPE+MUIG0RjLx0QoS7aEmqQpWd+MUlrUqa7fH35dX0fn5GRQM+/n/Xa7bjfnul7L83Wd08yt53n1vGBmZoa8vDz2urq6OoyNjZGcnPzBseRlZWUlUWcWaPg5sLKykrjX9bG+e6/lmefSpUsSu3PT0tKgrq4ukYQMCAhAXFwcRCIRBgwYIDNxx+VyJe69uro6AGDcuHEoKyvD1q1b5Yrrq6++gpmZGUxMTBok3EePHg1lZWWsXr1aat9Xr17JHNfe3h5ZWVlyxfAuFxcX3L9/XyKRfu/ePbRr105qMhh4u6P71atXuH79OnvuzJkzqKurY3d///rrr3B2dpaof80wDAIDA5GYmIgzZ86gQ4cOEuN269YNSkpKEp+3nJwcFBYWNthFXq9jx464ffs2MjIy2GPYsGHo168fMjIy5E7EduvWDSoqKmxNYeDtz3hBQYHEzyfwdve+vb29zLFUVFSgoaEhcRBCCCGEEEIIIS0N7RAmH62srAz3799nX+fn5yMjIwNaWlowNDRstO8vv/yC7t27o1evXoiPj0d6ejp27twJ4O3Oy8LCQuzfvx89evTAb7/9hsTExM+6FgAwMjICh8PBsWPHMHjwYHC5XPD5fEybNg3BwcHsulavXo2KigqJh1gpKCjA19cXYWFhMDc3l5nEkuXOnTv4+uuvIRQKMXfuXDx79owdt02bNjL7mZub4+eff0b37t1RWlqK4OBguXb3mpubY/fu3Th16hQ6dOiAn3/+GVevXpVI1EVGRmLq1KnQ0dGBu7s7Xr9+jbS0NMycObNJa6sXFBQEFxcXrF27Fp6enjh16hROnjwp0SY4OBhjx46Fvb09BgwYgF9//RWHDx/G77//Lvc806dPx8aNGzFz5kwEBgYiJycHERERmDt3rkRJkfHjx2PevHnYsWMHdu/e3eT1ODk54fvvv8f333+PBw8eYOTIkTAwMMDTp0+xc+dOcDgcifkaY2BggA0bNiAwMBClpaWYOHEijI2N8ejRI+zevRt8Pl/mDnmhUIhdu3Y1OF+/q7msrAwvXrxARkYGlJWV2eT6tGnTEBMTg1mzZmHmzJnIzc1FVFQUgoKC2DESExMRFhbGlo2wsrKCm5sbJk+ejG3btkEsFiMwMBBeXl7sXwAkJSU1KBcxY8YM7N27F0ePHoW6ujr7+RYIBOByuRAIBJg0aRLmzp0LLS0taGhoYObMmXBycoKjoyM7Tv/+/TFixAgEBgZCVVUVnTp1kpinfnfx++cbo6GhgalTpyIiIgIGBgYwMjLCmjVrAECi7EtBQQEeP34s8eA7Qgj5JypY2fAvOAghhBBCyP+YL1DPmPxL1T807P3Dx8en0X4AmC1btjADBw5kVFRUGGNjYyYhIUGiTXBwMKOtrc3w+Xzmm2++YTZs2CDxUC5pD5V7/2FS0h6mZWRkxGzYsIFhmIYPlWMYhlm6dCmjq6vLcDgcdh2VlZXMzJkzmdatWzMqKiqMi4sLk56e3mBdeXl5DAD2YXPvr7mxh8pFRERIvZdGRkYy+zAMw9y4cYPp3r07o6qqypibmzO//PKLxBplzf3mzRvG19eXEQgETKtWrZhp06YxoaGhDR6ktm3bNsbS0pJRUlJi2rVrx8ycObPRcQUCASMSiRiGkf6Qvp07dzL6+voMl8tlPDw8mLVr10q8rwzDMFu3bmVMTEwYJSUlxsLCosED0z40L8MwTEpKCtOjRw9GWVmZ0dXVZUJCQhixWNzg/k2YMIHR0tJi3rx5I3FenofK1UtISGD69u3LCAQCRklJidHX12fGjx/PXL58mW3z/kPlZDl9+jQjFAoZTU1NRlVVlenYsSMzb9485smTJzL7vHz5klFVVWX++OMPifPyfJ4uXrzI9OzZk1FRUWFMTEyYFStWMDU1NRJxv/+/iZcvXzLjxo1j+Hw+o6Ghwfj5+TGvX79mGObtA/5UVVWZ3NzcD8YCQOI9q6ysZKZPn85oamoyampqzIgRI5inT59KjGNkZMRERETIvBeyHir37s8DwzCMnZ2dxDjV1dXM999/z+jo6DDq6urMgAEDmDt37kj0iYqKYoRCocy5pZG3mD8hhBBCCCGEEPIpyPt7KIdh3vm7akK+AA6Hg8TERAwfPry5Q/mkLly4gP79++Phw4dsnVnSsvXv3x82NjbYvHlzc4fytwQHB6O0tBTbt29v1jgOHz6MRYsWfVQJi5asuroa5ubm2Lt3b4OHHjamtLQUAoEAJSUlVD6CEEIIIYQQQshnJ+/voVRDmJC/qaqqCo8ePUJkZCTGjBlDyeB/gOLiYiQmJiIlJQUzZsxo7nD+toULF8LIyOiLPNCvMXw+H6tWrWrWGD6HwsJCLFiwoEnJYEIIIYQQQgghpKWiGsKE/E379u3DpEmT0KVLl4+qRUu+PHt7exQXF2PVqlWwtLRs7nD+tlatWmHBggXNHQYGDRrU3CF8FvUPFCSEEEIIIYQQQv4NaIcw+eIYhvlXlYvw9fVFbW0trl+/jvbt2zd3OP/TIiMj0aVLlw+2KygoQElJCebNmyf1GofDYR/K9rFSUlLA4XDw6tWrvzVOU3yq2L+U6upqmJmZ4eLFi80dCgDA0dERhw4dau4wCCGEEEIIIYSQz4oSwoSQT+r8+fPw8PCAnp4eOBwOjhw50twhNYmBgQGePn2KTp06AWiexO6XcP/+ffj7+8PQ0BAqKipo3749+vfvj/j4eNTU1LDtOBwOewgEAri4uODMmTMSYz179gwzZ86EiYkJVFRUYGBgAA8PDyQnJzcaw7Zt29ChQwc4Ozuz51asWAFnZ2eoqamhVatWMvvGxcXB1tYWqqqq0NHR+WDpD3k+l4sWLUJoaKjU0hu+vr4oKChodA5CCCGEEEIIIeSfgEpGEEI+qfLyctjZ2cHf3x8jR45s7nCaTEFBAbq6us0dxmeVnp6OAQMGwMbGBlu2bEHHjh0BANeuXcOWLVvQqVMn2NnZse1FIhHc3Nzw119/YeHChRg6dCju3LkDExMTFBQUwMXFBa1atcKaNWvQuXNniMVinDp1CjNmzMAff/whNQaGYRATE4OlS5dKnK+ursaYMWPg5OSEnTt3Su27fv16rFu3DmvWrEHPnj1RXl7+wWStPJ9Ld3d3BAQE4MSJExgyZAiKioqwb98+TJ8+nW2Tl5eHy5cvw9vbu9H5CCGkpTIO/a25QyDkX6Fg5ZDmDoEQQgj5aLRDmBDySbm7u2P58uUYMWJEk/pxOBzExsbC3d0dXC4XJiYmOHjwoESbkJAQWFhYQE1NDSYmJggPD4dYLJY5pq+vL4YPH46oqCi0bdsWrVq1wtKlS1FTU4Pg4GBoaWlBX18fIpGI7fNu2YWCggL069cPAKCpqQkOhwNfX18Abx8mGBQUBB0dHaiqqqJXr164evVqo2tMTU2Fq6sruFwuDAwMEBQUhPLycvZ6cXExJk6cCE1NTaipqcHd3R25ubkA3iY0NTQ0GtyTI0eOgMfj4fXr1x++yXibiPX19YWFhQXS0tLg4eEBc3NzmJubY9y4cUhNTYWtra1En1atWkFXVxedOnVCbGwsKisrcfr0aQDA9OnTweFwkJ6ejlGjRsHCwgI2NjaYO3cuLl++LDOO69evIy8vD0OGSP4ytWTJEsyZMwedO3eW2q+4uBiLFi3C7t27MX78eJiamsLW1hbDhg1rdN3yfC4VFBQwePBg7N+/HwCgqqqKx48fw83NDY8ePcK2bdvg6+uLDh06NDoXIYQQQgghhBDSklFCmBDSYoSHh2PUqFG4desWvL294eXlhezsbPa6uro64uLikJWVhU2bNmHHjh3YsGFDo2OeOXMGT548wfnz57F+/XpERERg6NCh0NTUxJUrVzB16lRMmTIFjx49atDXwMCArSmbk5ODp0+fYtOmTQCA+fPn49ChQ9i1axdu3LgBMzMzCIVCFBUVSY0jLy8Pbm5uGDVqFDIzM5GQkIDU1FQEBgaybXx9fXHt2jUkJSXh0qVLYBgGgwcPhlgsBo/Hg5eXl0TyGni7e3f06NFQV1eX6x5nZGQgOzsb8+bNw1dfSf9fAIfDkdmfy+UCeLuTt6ioCCdPnsSMGTPA4/EatG2s5MOFCxdgYWEhd9z1Tp8+jbq6Ojx+/BhWVlbQ19fH2LFj8fDhwwZriIuLa9LYAODg4IALFy4AANTU1BAVFYVZs2YhJSUFly9fxpkzZyRKXBBCCCGEEEIIIf80lBAmhLQYY8aMQUBAACwsLLBs2TJ0794dP/zwA3t90aJFcHZ2hrGxMTw8PDBv3jwcOHCg0TG1tLSwefNmWFpawt/fH5aWlqioqMCCBQtgbm6OsLAwKCsrIzU1tUFfBQUFaGlpAQB0dHSgq6sLgUCA8vJyxMbGYs2aNXB3d4e1tTV27NgBLpcrs8xBdHQ0vL29MXv2bJibm8PZ2RmbN2/G7t278ebNG+Tm5iIpKQk//fQTXF1dYWdnh/j4eDx+/JitdxsQEIBTp07h6dOnAIDnz5/j+PHj8Pf3l/se37t3DwBgaWnJnnv+/Dn4fD57bN26VWrfiooKLFq0CAoKCujTpw/u378PhmHYkhNN8eDBA+jp6TW5359//om6ujpERUVh48aNOHjwIIqKijBw4EBUV1ez7SwtLSEQCJo8vp6eHh4+fIi6ujq8efMGixcvxqZNm9C3b184OjpiwIABSE9Pl9q3qqoKpaWlEgchhBBCCCGEENLSUEKYEPJFRUVFSSQfCwsL2WtOTk4SbZ2cnCR2CCckJMDFxQW6urrg8/lYtGiRRH9pbGxsJHbCtm3bVqIcgYKCArS1tfH8+XO515CXlwexWAwXFxf2nJKSEhwcHCTifdetW7cQFxcnsXahUIi6ujrk5+cjOzsbioqK6NmzJ9tHW1sblpaW7JgODg6wsbHBrl27AAB79uyBkZERevfuLXPt9XO5u7vLXI+2tjYyMjKQkZGBVq1aSSRWAWDcuHHg8/lQV1fHoUOHsHPnTtja2oJhGPlumBSVlZVQVVVtcr+6ujqIxWJs3rwZQqEQjo6O2LdvH3Jzc3H27Fm23R9//NHksiXA2x3QdXV1qKqqQkVFBdq2bYuTJ09CX18fU6dOxX/+8x82qf6+6OhoCAQC9jAwMGjy/IQQQgghhBBCyOdGD5UjhHxRU6dOxdixY9nX8u4SvXTpEry9vbFkyRIIhUIIBALs378f69ata7SfkpKSxGsOhyP1XF1dnZwr+DhlZWWYMmUKgoKCGlwzNDRkawV/SEBAALZs2YLQ0FCIRCL4+fnJLPFw/PhxtsZyfakHc3NzAG9LYNjb2wN4mxQ3MzMDACgqNvzfwoYNGzBgwAAIBAK0adOGPW9ubg4OhyPzwXGNad26NW7fvt3kfu3atQMAWFtbs+fatGmD1q1bf/DLAXkUFRWBx+OBy+WCy+VixowZEtdNTU1hamoqtW9YWBjmzp3Lvi4tLaWkMCGEEEIIIYSQFod2CBNCvigtLS2YmZmxx7sJyPcfQnb58mVYWVkBAC5evAgjIyMsXLgQ3bt3h7m5OR48ePDZ41VWVgYA1NbWsudMTU2hrKyMtLQ09pxYLMbVq1clEpXv6tq1K7KysiTWXn8oKyvDysoKNTU1uHLlCtvn5cuXyMnJkRjz22+/xYMHD7B582ZkZWXBx8dHZuxGRkbsHO3btwcA2Nvbo2PHjli7dq3cSXBdXV2YmZlJJIOBt++lUCjEli1bJB6OV+/Vq1cyx7S3t8cff/zR5F3G9buyc3Jy2HNFRUX466+/YGRk1KSxpLlz5w6bKH9XXFwcjI2NG+2roqICDQ0NiYMQQgghhBBCCGlpaIcwIeSTKisrw/3799nX+fn5yMjIgJaWFgwNDRvt+8svv6B79+7o1asX4uPjkZ6eztbkNTc3R2FhIfbv348ePXrgt99+Q2Ji4mddC/A2qcrhcHDs2DEMHjwYXC4XfD4f06ZNQ3BwMLuu1atXo6KiApMmTZI6TkhICBwdHREYGIiAgADweDxkZWXh9OnTiImJgbm5OTw9PTF58mRs374d6urqCA0NRfv27eHp6cmOo6mpiZEjRyI4OBiDBg2Cvr5+k9bD4XAgEokwcOBAuLi4ICwsDFZWVhCLxTh//jxevHgBBQUFucfbsmULXFxc4ODggKVLl8LW1hY1NTU4ffo0YmNjZZbQ6NevH8rKynD37l106tSJPV9YWIiioiIUFhaitrYWGRkZAAAzMzPw+XxYWFjA09MTs2bNwo8//ggNDQ2EhYWhY8eO6NevHztOx44dER0dzZaNkPdzeeHCBQwaNEju9RNCyD9NwcohzR0CIYQQQghpZrRDmBDySV27dg329vbsLsu5c+fC3t4eixcv/mDfJUuWYP/+/bC1tcXu3buxb98+dnfssGHDMGfOHAQGBqJLly64ePEiwsPDP+taAKB9+/ZYsmQJQkND0bZtWwQGBgIAVq5ciVGjRmHChAno2rUr7t+/j1OnTkFTU1PqOLa2tjh37hzu3bsHV1dX9p68WzJDJBKhW7duGDp0KJycnMAwDI4fP96gxMWkSZNQXV3dpIfJvcvR0RHXr1+HpaUlZsyYAWtrazg7O2Pfvn3YsGEDpk2bJvdYJiYmuHHjBvr164fvv/8enTp1wsCBA5GcnIzY2FiZ/bS1tTFixAjEx8dLnF+8eDHs7e0RERGBsrIy9rN07do1ts3u3bvRs2dPDBkyBH369IGSkhJOnjwpcZ9ycnJQUlLCvpbnc/n48WNcvHgRfn5+cq+fEEIIIYQQQgj5p+Ewf+epQIQQ8olwOBwkJiZi+PDhzR1Ki/fzzz9jzpw5ePLkCVvS4p8oMzMTAwcORF5eHvh8fnOHg5CQEBQXF+PHH3/8JOOVlpZCIBCgpKSEykcQQgghhBBCCPns5P09lHYIE0LIP0RFRQXy8vKwcuVKTJky5R+dDAbe7ppetWoV8vPzmzsUAICOjg6WLVvW3GEQQgghhBBCCCGfFSWECSHkH2L16tXo2LEjdHV1ERYW1tzhfBK+vr7o3Llzc4cBAPj+++/Rtm3b5g6DEEIIIYQQQgj5rCghTMj/LzIyEl26dPlbYxQUFIDD4bAPwvpYKSkp4HA4ePXq1d8apyk+VezS9O3bF7Nnz2ZfGxsbY+PGjRJtGIb5W+Ui3p/jS/D19f2iJS4iIyMhFouRnJz8USUWdu7cSQ9MkyE0NBQzZ85s7jAIIYQQQgghhJDPjhLCpEU5f/48PDw8oKenBw6HgyNHjjR3SE1iYGCAp0+folOnTgCaJ7H7OaWkpMDT0xPt2rUDj8dDly5dGjwUTB5Xr17Fd9999xkibJkYhsGOHTvg5OQEDQ0N8Pl82NjYYNasWbh//z7bLjIyEhwOBxwOB4qKijA2NsacOXNQVlYmMd6hQ4fQt29fCAQC8Pl82NraYunSpSgqKpIZw5s3bxAeHo6IiAj23N27dzFq1CgYGxuDw+E0SNLXe/z4Mb799ltoa2uDy+Wic+fOEg95kyYoKAjdunWDiopKo1+0nDt3DgYGBgDk+/kvKytDYGAg9PX1weVyYW1tjW3btjUaizyf23nz5mHXrl34888/G/SPi4tDXFxco3MQQgghhBBCCCH/FIrNHQAh7yovL4ednR38/f0xcuTI5g6nyRQUFKCrq9vcYXw2Fy9ehK2tLUJCQtC2bVscO3YMEydOhEAgwNChQ+Uep02bNp8xypaFYRiMHz8eR44cwYIFC7Bhwwbo6enhyZMnSExMxPLlyyWSjTY2Nvj9999RU1ODtLQ0+Pv7o6KiAtu3bwcALFy4EKtWrcKcOXMQFRUFPT095ObmYtu2bfj5558xa9YsqXEcPHgQGhoacHFxYc9VVFTAxMQEY8aMwZw5c6T2Ky4uhouLC/r164cTJ06gTZs2yM3Nhaam5gfX7u/vjytXriAzM1Nmm6NHj8LDwwOAfD//c+fOxZkzZ7Bnzx4YGxvj//7v/zB9+nTo6elh2LBhUvvI87lt3bo1hEIhYmNjsWbNGgDAhg0bEBAQwI7z+vVr/PTTTzLvFSGE/BMYh/7W3CEQgoKVQ5o7BEIIIeR/Gu0QJi2Ku7s7li9fjhEjRjSpH4fDQWxsLNzd3cHlcmFiYoKDBw9KtAkJCYGFhQXU1NRgYmKC8PBwiMVimWPWlwOIiopC27Zt0apVKyxduhQ1NTUIDg6GlpYW9PX1IRKJ2D7vll0oKChAv379AACamprgcDjw9fUFAFRVVSEoKAg6OjpQVVVFr169cPXq1UbXmJqaCldXV3C5XBgYGCAoKAjl5eXs9eLiYkycOBGamppQU1ODu7s7cnNzAbxNtGloaDS4J0eOHAGPx8Pr168/fJMBLFiwAMuWLYOzszNMTU0xa9YsuLm54fDhw3L1r/d+yQgOh4OffvoJI0aMgJqaGszNzZGUlCTR59y5c3BwcICKigratWuH0NBQ1NTUyJyjqqoK8+bNQ/v27cHj8dCzZ0+kpKRItDl06BBsbGygoqICY2NjrFu3jr22dOlSdqf3u7p06YLw8HC515qQkID9+/cjISEB4eHhcHR0hKGhIRwdHbFq1SqJzw8AKCoqQldXF/r6+vjmm2/g7e3N3ov09HRERUVh3bp1WLNmDZydnWFsbIyBAwfi0KFD8PHxkRnH/v372cRrvR49emDNmjXw8vKCioqK1H6rVq2CgYEBRCIRHBwc0KFDBwwaNAimpqaNrnvz5s2YMWMGTExMGm2XlJTEJnLl+fm/ePEifHx80LdvXxgbG+O7776DnZ0d0tPTZfaR93Pr4eGB/fv3s681NTUxcOBApKamIjU1FQMHDpQrEU4IIYQQQgghhLRklBAm/xrh4eEYNWoUbt26BW9vb3h5eSE7O5u9rq6ujri4OGRlZWHTpk3YsWMHNmzY0OiYZ86cwZMnT3D+/HmsX78eERERGDp0KDQ1NXHlyhVMnToVU6ZMwaNHjxr0NTAwwKFDhwAAOTk5ePr0KTZt2gQAmD9/Pg4dOoRdu3bhxo0bMDMzg1AolPkn/3l5eXBzc8OoUaOQmZmJhIQEpKamIjAwkG3j6+uLa9euISkpCZcuXQLDMBg8eDDEYjF4PB68vLwaJB9FIhFGjx4NdXV1+W6yFCUlJdDS0vro/vWWLFmCsWPHIjMzE4MHD4a3tzd7Px4/fozBgwejR48euHXrFmJjY7Fz504sX75c5niBgYG4dOkS9u/fj8zMTIwZMwZubm5skvz69esYO3YsvLy8cPv2bURGRiI8PJzdrevv74/s7GyJRP3NmzeRmZkJPz8/ude1b98+WFpayty9yuFwGu3P5XJRXV0NAIiPjwefz8f06dOltm3VqpXMcVJTU9G9e3f5gn5HUlISunfvjjFjxkBHRwf29vbYsWOHRJvIyEgYGxs3eey7d+/i+fPn+Prrr+Xu4+zsjKSkJDx+/BgMw+Ds2bO4d++eRG1kX19f9O3bt9FxpH1uHRwc8OjRIxQUFLDjHDhwAMeOHcOxY8dw4MAB9ksdQgghhBBCCCHkn4oSwuRfY8yYMQgICICFhQWWLVuG7t2744cffmCvL1q0iN1R6eHhgXnz5uHAgQONjqmlpYXNmzfD0tIS/v7+sLS0REVFBRYsWABzc3OEhYVBWVkZqampDfoqKCiwCScdHR3o6upCIBCgvLyc/bN0d3d3WFtbY8eOHeByudi5c6fUOKKjo+Ht7Y3Zs2fD3Nwczs7O2Lx5M3bv3o03b94gNzcXSUlJ+Omnn+Dq6go7OzvEx8fj8ePHbB3WgIAAnDp1Ck+fPgUAPH/+HMePH4e/v//H3G4AwIEDB3D16tUmJUhl8fX1xbhx42BmZoaoqCiUlZWxuz63bt0KAwMDxMTEoGPHjhg+fDiWLFmCdevWoa6ursFYhYWFEIlE+OWXX+Dq6gpTU1PMmzcPvXr1YpPi69evR//+/REeHg4LCwv4+voiMDCQLRegr68PoVAokUQXiUTo06fPB3e9vuvevXuwtLSUODd79mzw+Xzw+Xzo6+vL7Hv9+nXs3buXTZjm5ubCxMQESkpKcs8PAK9evUJJSQn09PSa1A8A/vzzT8TGxsLc3BynTp3CtGnTEBQUhF27drFtWrdu/cEdw9IcPXoUQqEQysrKcvf54YcfYG1tDX19fSgrK8PNzQ1btmxB79692Tbt2rWDoaGhzDFkfW7r78+DBw8AAHv27MHYsWMxZMgQDBkyBGPHjsWePXtkjltVVYXS0lKJgxBCCCGEEEIIaWkoIUz+UaKiothEGp/PR2FhIXvNyclJoq2Tk5PEDuGEhAS4uLhAV1cXfD4fixYtkugvjY2NDb766v/9mLRt2xadO3dmXysoKEBbWxvPnz+Xew15eXkQi8UStVyVlJTg4OAgEe+7bt26hbi4OIm1C4VC1NXVIT8/H9nZ2VBUVETPnj3ZPtra2rC0tGTHdHBwgI2NDZvI27NnD4yMjCQSae+vvX4ud3f3BtfPnj0LPz8/7NixAzY2NgCACxcuSMTYlAfO2drasv/m8XjQ0NBg72t2djacnJwkdtO6uLigrKxM6u7s27dvo7a2FhYWFhLxnDt3Dnl5eeyY774H9WPm5uaitrYWADB58mTs27cPb968QXV1Nfbu3SszgV6/e7f+uHDhgsy1Lly4EBkZGVi8eHGDB8bdvn0bfD4fXC4XDg4OcHJyQkxMDIC39Yg/RmVlJQBAVVW1yX3r6urQtWtXREVFwd7eHt999x0mT54s8SC3wMBAJCcnN3nso0ePytw5LcsPP/yAy5cvIykpCdevX8e6deswY8YM/P7772yb6Oho7N69W2p/aZ/belwuF8Db2srA2y9NTp8+DVdXV7i6uuL06dON/qxHR0dDIBCwR/3D8gghhBBCCCGEkJaEHipH/lGmTp2KsWPHsq/l3fF46dIleHt7Y8mSJRAKhRAIBNi/f79EzVhp3t+JyeFwpJ6Ttkv1UyorK8OUKVMQFBTU4JqhoSFbBuFDAgICsGXLFoSGhkIkEsHPz09myYLjx4+zNZbrE2X1zp07Bw8PD2zYsAETJ05kz3fv3h0ZGRns67Zt28oVFyD9Xn/sfS0rK4OCggKuX78OBQUFiWt8Pl/ucTw8PKCiooLExEQoKytDLBZj9OjRUtsOGzZMIiHfvn17AIC5uTlycnIk2rZp0wZt2rSBjo5Og3EsLS2RlJQERUVF6OnpSeyetbCwQGpqKsRicZN2CWtra4PD4aC4uFjuPvXatWsHa2triXNWVlZsOZSP9fTpU9y8eRNDhsj/UJnKykosWLAAiYmJbD9bW1tkZGRg7dq1GDBgQKP9ZX1u69WXKKl/6OHcuXMlrqurqzc4966wsDCJ66WlpZQUJoQQQgghhBDS4lBCmPyjaGlpyaxXe/nyZYkkz+XLl2Fvbw/g7YOojIyMsHDhQvZ6/Z+Ff071ybz6HacAYGpqCmVlZaSlpcHIyAgAIBaLcfXqVcyePVvqOF27dkVWVhbMzMykXreyskJNTQ2uXLkCZ2dnAMDLly+Rk5Mjkcz79ttvMX/+fGzevBlZWVmNPoSsPrb3paSkYOjQoVi1ahW+++47iWtcLldmjH9HfQKSYRg2gZ2WlgZ1dXWpJRfs7e1RW1uL58+fw9XVVeaYaWlpEufS0tJgYWHBJpEVFRXh4+MDkUgEZWVleHl5NUiO11NXV5dai3ncuHEYP348jh49Ck9Pzw+uVVlZWeY9HD9+PDZv3oytW7di1qxZDa6/evVKah1hZWVlWFtbIysrS6LWrjxcXFwaJLTv3bsn8/Mhr19//RXOzs5Nqj8tFoshFosldu0Db3fqf+jLg8Y+t/Xu3LkDJSWlBjuH5a0brKKiIvPhfIQQQgghhBBCSEtBCWHSopSVleH+/fvs6/z8fGRkZEBLS6vRmqAA8Msvv6B79+7o1asX4uPjkZ6eztbkNTc3R2FhIfbv348ePXrgt99+Q2Ji4mddC/A2qcrhcHDs2DEMHjwYXC4XfD4f06ZNQ3BwMLuu1atXo6KiApMmTZI6TkhICBwdHREYGIiAgADweDxkZWXh9OnTiImJgbm5OTw9PTF58mRs374d6urqCA0NRfv27SWSkJqamhg5ciSCg4MxaNCgRuvXSnP27FkMHToUs2bNwqhRo/Ds2TMAbxOOn+LBcrJMnz4dGzduxMyZMxEYGIicnBxERERg7ty5DZKDwNudtN7e3pg4cSLWrVsHe3t7vHjxAsnJybC1tcWQIUPw/fffo0ePHli2bBm++eYbXLp0CTExMdi6davEWAEBAbCysgKABglkeXh5eeHw4cPw8vJCWFgYhEIh2rZtiwcPHiAhIaHBDubG9OzZE/Pnz8f333+Px48fY8SIEdDT08P9+/exbds29OrVS2qiGACEQiFSU1MlvnSorq5GVlYW++/Hjx8jIyMDfD6fTUrPmTMHzs7OiIqKwtixY5Geno4ff/wRP/74IztOTEwMEhMTJcpG3L9/H2VlZXj27BkqKyvZnePW1tZQVlZGUlJSg3IRH/r519DQQJ8+fRAcHAwulwsjIyOcO3cOu3fvxvr169l+YWFhePz4MVs2Qt7P7YULF+Dq6ioz6U8IIf8GBSvl/8sMQgghhBDyL8UQ0oKcPXuWAdDg8PHxabQfAGbLli3MwIEDGRUVFcbY2JhJSEiQaBMcHMxoa2szfD6f+eabb5gNGzYwAoGAvR4REcHY2dmxr318fBhPT0+JMfr06cPMmjVL4pyRkRGzYcMGhmEYJj8/nwHA3Lx5k72+dOlSRldXl+FwOOw6KisrmZkzZzKtW7dmVFRUGBcXFyY9Pb3BfSguLmbPpaenMwMHDmT4fD7D4/EYW1tbZsWKFez1oqIiZsKECYxAIGC4XC4jFAqZe/fuNbhXycnJDADmwIEDEuelxf4+Hx8fqe9Pnz59ZPaRdt/evWcM8/b9S0xMlOgjEAgYkUjEvk5JSWF69OjBKCsrM7q6ukxISAgjFotlzlFdXc0sXryYMTY2ZpSUlJh27doxI0aMYDIzM9k2Bw8eZKytrRklJSXG0NCQWbNmjdT4XV1dGRsbG6n34/3PiDS1tbXMtm3bmJ49ezI8Ho9RVlZmTExMmMmTJzNZWVlsu/c/g7IkJCQwvXv3ZtTV1dnPwtKlSyU+L++7e/cuw+VymVevXrHn6t/zD72fv/76K9OpUydGRUWF6dixI/Pjjz9KXI+IiGCMjIwkzvXp00fq2Pn5+UxZWRmjqqrK5ObmSvSR5+f/6dOnjK+vL6Onp8eoqqoylpaWzLp165i6ujq2jY+Pj8Qa5P3cWlpaMvv27ZN5D5uqpKSEAcCUlJR8sjEJIYQQQgghhBBZ5P09lMMwH/mUIkJaEA6Hg8TERAwfPry5Q2nxfv75Z8yZMwdPnjyRqE9LpGMYBubm5pg+fXqj9WP/CcaMGYOuXbsiLCysWeM4fPgwFi1axO5ObglOnDiB77//HpmZmVBU/DR/PFNaWgqBQICSkhJoaGh8kjEJIYQQQgghhBBZ5P09tOHfWhNC/pUqKiqQl5eHlStXYsqUKZQMlsOLFy8QExODZ8+ewc/Pr7nD+dvWrFnTpIfqfS58Ph+rVq1q7jAklJeXQyQSfbJkMCGEEEIIIYQQ0lLRb76E/I9YvXo1VqxYgd69ezf7DtF/Ch0dHbRu3Ro//vgjNDU1mzucv83Y2BgzZ85s7jCa/GC7L2H06NHNHQIhhBBCCCGEEPJF0A5h8q/AMMwHy0VERkaiS5cuf2uegoICcDgc9gFZHyslJQUcDgevXr36W+M0ha+vL2pqarBu3bpPvku0b9++Eg8rMzY2xsaNGz/rHF8CwzB48eIFxo8fL7PN51jr5zRhwgRERUU1dxgtkqOjIw4dOtTcYRBCCCGEEEIIIZ8VJYTJF3X+/Hl4eHhAT08PHA4HR44cae6QmsTAwABPnz5Fp06dADRPYvdzSklJgaenJ9q1awcej4cuXbogPj6+yeNcvXoV33333WeI8J+rtLQU4eHhsLGxAZfLhba2Nnr06IHVq1ejuLiYbde3b19wOBxwOByoqqrC2toaW7dulRiruroaq1evhp2dHdTU1NC6dWu4uLhAJBJBLBbLjOHWrVs4fvw4goKC2HOHDx/GoEGDoK2t3eiXHZcuXcLXX38NHo8HDQ0N9O7dG5WVlTLnevr0KcaPHw8LCwt89dVXjSbzlyxZgm+//RYA8OOPP6Jv377Q0NCQ+bN17949eHp6onXr1tDQ0ECvXr1w9uxZmePXr7N79+5o1aoV+9n++eefJdosWrQIoaGhqKura9Df19cXBQUFjc5BCCGEEEIIIYT8E1DJCPJFlZeXw87ODv7+/hg5cmRzh9NkCgoK0NXVbe4wPpuLFy/C1tYWISEhaNu2LY4dO4aJEydCIBBg6NChco/Tpk2bzxjlP09RURF69eqF0tJSLFu2DN26dYNAIEBOTg5EIhH27t2LGTNmsO0nT56MpUuXoqKiArt378aMGTOgqamJcePGobq6GkKhELdu3cKyZcvg4uICDQ0NXL58GWvXroW9vb3MnfA//PADxowZI7FDvLy8HL169cLYsWMxefJkqf0uXboENzc3hIWF4YcffoCioiJu3bqFr76S/Z1iVVUV2rRpg0WLFmHDhg2N3p+jR48iNDQUwNta125ubux80gwdOhTm5uY4c+YMuFwuNm7ciKFDhyIvL0/mz6eWlhYWLlyIjh07QllZGceOHYOfnx90dHQgFAoBAO7u7ggICMCJEycwZMgQFBUVYd++fZg+fTo7Tl5eHi5fvgxvb+9G10QIIS2Vcehvf6t/wcohnygSQgghhBDSXGiHMPmi3N3dsXz5cowYMaJJ/TgcDmJjY+Hu7g4ulwsTExMcPHhQok1ISAgsLCygpqYGExMThIeHN7pb0tfXF8OHD0dUVBTatm2LVq1aYenSpaipqUFwcDC0tLSgr68PkUjE9nm3ZERBQQH69esHANDU1ASHw4Gvry+At8mwoKAg6OjoQFVVFb169cLVq1cbXWNqaipcXV3B5XJhYGCAoKAglJeXs9eLi4sxceJEaGpqQk1NDe7u7sjNzQXwNqmnoaHR4J4cOXIEPB4Pr1+//vBNBrBgwQIsW7YMzs7OMDU1xaxZs+Dm5obDhw/L1b/e+2UUOBwOfvrpJ4wYMQJqamowNzdHUlKSRJ9z587BwcEBKioqaNeuHUJDQ1FTUyNzjqqqKsybNw/t27cHj8dDz549kZKSwl6Pi4tDq1atcOrUKVhZWYHP58PNzQ1Pnz5l29TV1WHp0qXQ19eHiooKunTpgpMnT7LXv/76awQGBkrM++LFCygrKyM5OVnu+7FgwQIUFhYiPT0dfn5+sLW1hZGREQYNGtQg4QgAampq0NXVhYmJCSIjIyXu18aNG3H+/HkkJydjxowZ6NKlC0xMTDB+/HhcuXIF5ubmUmOora3FwYMH4eHhIXF+woQJWLx4MQYMGCAz/jlz5iAoKAihoaGwsbGBpaUlxo4dCxUVFZl9jI2NsWnTJvYLBVkePnyIu3fvws3NDQAwe/ZshIaGwtHRUWr7v/76C7m5uQgNDYWtrS3Mzc2xcuVKVFRU4M6dOzLn6du3L0aMGAErKyv2s21ra4vU1FS2jYKCAgYPHoz9+/cDAFRVVfH48WO4ubnh0aNH2LZtG3x9fdGhQweZ8xBCCCGEEEIIIS0dJYTJP0Z4eDhGjRqFW7duwdvbG15eXsjOzmavq6urIy4uDllZWdi0aRN27NjxwZ2JZ86cwZMnT3D+/HmsX78eERERGDp0KDQ1NXHlyhVMnToVU6ZMwaNHjxr0NTAwYOuN5uTk4OnTp9i0aRMAYP78+Th06BB27dqFGzduwMzMDEKhEEVFRVLjyMvLg5ubG0aNGoXMzEwkJCQgNTVVIhnp6+uLa9euISkpCZcuXQLDMBg8eDDEYjF4PB68vLwkktcAIBKJMHr0aKirq8t3k6UoKSmBlpbWR/evt2TJEowdOxaZmZkYPHgwvL292fvx+PFjDB48GD169MCtW7cQGxuLnTt3Yvny5TLHCwwMxKVLl7B//35kZmZizJgxcHNzY5PkwNvdpmvXrsXPP/+M8+fPo7CwEPPmzWOvb9q0CevWrcPatWuRmZkJoVCIYcOGsWMEBARg7969qKqqYvvs2bMH7du3x9dffy3Xuuvq6pCQkIBvv/0Wenp6UttwOJxGx+ByuaiurgYAxMfHY8CAAbC3t2/QTklJCTweT+oYmZmZKCkpQffu3eWKu97z589x5coV6OjowNnZGW3btkWfPn0kEqnA24Rr/RciTZGUlMSWiJCHtrY2LC0tsXv3bpSXl6Ompgbbt2+Hjo4OunXrxrYzNjZGZGSk1DEYhkFycjJycnLQu3dviWsODg64cOECgLeJ+aioKMyaNQspKSm4fPkyzpw5A2dn5yavkxBCCCGEEEIIaSkoIUz+McaMGYOAgABYWFhg2bJl6N69O3744Qf2+qJFi+Ds7AxjY2N4eHhg3rx5OHDgQKNjamlpYfPmzbC0tIS/vz8sLS1RUVGBBQsWwNzcHGFhYVBWVm6Q/ALe7iasT5Tq6OhAV1cXAoEA5eXliI2NxZo1a+Du7g5ra2vs2LEDXC4XO3fulBpHdHQ0vL29MXv2bJibm8PZ2RmbN2/G7t278ebNG+Tm5iIpKQk//fQTXF1dYWdnh/j4eDx+/JitwxwQEIBTp06xO2CfP3+O48ePw9/f/2NuNwDgwIEDuHr1Kvz8/D56jHq+vr4YN24czMzMEBUVhbKyMqSnpwMAtm7dCgMDA8TExKBjx44YPnw4lixZgnXr1kmt51pYWAiRSIRffvkFrq6uMDU1xbx589CrVy+JpLhYLMa2bdvQvXt3dO3aFYGBgRI7e9euXYuQkBB4eXnB0tISq1atQpcuXdjdzfVlTY4ePcr2iYuLg6+v7weTuPVevHiBV69ewdLSUuJ8t27dwOfzwefzMW7cOKl9a2trsWfPHmRmZrIJ6NzcXHTs2FGuud/14MEDKCgoQEdHp0n9/vzzTwBvH8o4efJknDx5El27dkX//v0lku+GhoZo165dk+M6evQohg0bJnd7DoeD33//HTdv3oS6ujpUVVWxfv16nDx5Epqammw7U1NTtG7dWqJvSUkJ+Hw+lJWVMWTIEPzwww8YOHCgRBs9PT08fPgQdXV1ePPmDRYvXoxNmzahb9++cHR0xIABA9jP7fuqqqpQWloqcRBCCCGEEEIIIS0NJYRJixIVFcUmyfh8PgoLC9lrTk5OEm2dnJwkdggnJCTAxcUFurq64PP5WLRokUR/aWxsbCTqoLZt2xadO3dmXysoKEBbWxvPnz+Xew15eXkQi8VwcXFhzykpKcHBwUEi3nfdunULcXFxEmsXCoWoq6tDfn4+srOzoaioiJ49e7J96ndK1o/p4OAAGxsb7Nq1C8DbnaxGRkYNdkC+u/b6udzd3RtcP3v2LPz8/LBjxw7Y2NgAAC5cuCARY1MeOGdra8v+u/7BZPX3NTs7G05OThJJVhcXF5SVlUndnX379m3U1tbCwsJCIp5z584hLy+PbaempgZTU1P2dbt27dg5S0tL8eTJE4n3qX7e+nuqqqqKCRMm4D//+Q8A4MaNG7hz547MnbBTp06ViKcxiYmJyMjIgFAobPBwtq1bt4LP54PL5WLy5MmYM2cOpk2bBuDt7taPUVlZCRUVFbkT2fXqE/JTpkyBn58f7O3tsWHDBlhaWrL3BQB2796N6OjoJo1dWlqKc+fONSkhzDAMZsyYAR0dHVy4cAHp6ekYPnw4PDw8JMqBJCcnNyj3oa6ujoyMDFy9ehUrVqzA3LlzJcqMAG93Y9fV1aGqqgoVFRVo27YtTp48CX19fUydOhX/+c9/cO/ePamxRUdHQyAQsIeBgYH8N4MQQgghhBBCCPlC6KFypEWZOnUqxo4dy76W9Sf277t06RK8vb2xZMkSCIVCCAQC7N+/H+vWrWu0n5KSksRrDocj9Zy0XaqfUllZGaZMmYKgoKAG1wwNDSV2YjYmICAAW7ZsQWhoKEQiEfz8/GQmAI8fP87WWOZyuRLXzp07Bw8PD2zYsAETJ05kz3fv3h0ZGRns67Zt28oVFyD9Xn/sfS0rK4OCggKuX78OBQUFiWvvJmKlzdnUhGpAQAC6dOmCR48eQSQS4euvv4aRkZHUtkuXLpUoSQG8fcBeq1atkJOTI3He0NAQwNsk5atXrySueXt7Y+HCheByuWjXrp3ElxYWFhb4448/mrQGAGjdujUqKipQXV0NZWVlufvV7/q1traWOG9lZfXBL1w+5MSJE7C2tm5S4vTMmTM4duwYiouL2TITW7duxenTp7Fr1y724XTSfPXVVzAzMwMAdOnSBdnZ2YiOjkbfvn3ZNkVFReDxeOByueByuRIP+wPe7jx+90uGd4WFhWHu3Lns69LSUkoKE0IIIYQQQghpcSghTFoULS0tmfVqL1++LJGcvHz5MltH9eLFizAyMsLChQvZ6w8ePPi8wQJsYq22tpY9Z2pqCmVlZaSlpbGJQ7FYjKtXr2L27NlSx+natSuysrLYZNX7rKysUFNTgytXrrD1S1++fImcnByJRN23336L+fPnY/PmzcjKyoKPj4/M2GUlNVNSUjB06FCsWrUK3333ncQ1LpcrM8a/w8rKCocOHQLDMGwCOy0tDerq6tDX12/Q3t7eHrW1tXj+/DlcXV0/ak4NDQ3o6ekhLS0Nffr0Yc+npaXBwcGBfd25c2d0794dO3bswN69exETEyNzTB0dnQYlGb766iuMHTsWe/bsweLFi+X6kkMgEMi8z+PHj8eCBQtw8+bNBnWExWIxqqurpdYR7tKlCwAgKyuL/bc8jI2Noaen1yChfe/ePak7y5vi6NGj8PT0bFKfiooKAJBIkte/buoXDPU7gd91584dqfWZ4+LiPjieiopKow/aI4QQQgghhBBCWgJKCJMvqqysDPfv32df5+fnIyMjA1paWuyOSVl++eUXdO/eHb169UJ8fDzS09PZmrzm5uYoLCzE/v370aNHD/z2229ITEz8rGsB3iZVORwOjh07hsGDB4PL5YLP52PatGkIDg5m17V69WpUVFRg0qRJUscJCQmBo6MjAgMDERAQAB6Ph6ysLJw+fRoxMTEwNzeHp6cnJk+ejO3bt0NdXR2hoaFo3769REJNU1MTI0eORHBwMAYNGiQ1mdqYs2fPYujQoZg1axZGjRqFZ8+eAXib+P4UD5aTZfr06di4cSNmzpyJwMBA5OTkICIiAnPnzm2Q+APe7pL19vbGxIkTsW7dOtjb2+PFixdITk6Gra0thgwZIte8wcHBiIiIgKmpKbp06QKRSISMjIwGpTACAgIQGBgIHo+HESNGNHl9UVFRSElJgYODA5YuXYru3buDx+MhMzMTly5dQqdOneQea/bs2fjtt9/Qv39/LFu2DL169YK6ujquXbuGVatWYefOnVITvm3atEHXrl2Rmpoqcb2oqAiFhYV48uQJALCJX11dXejq6oLD4bD3yc7ODl26dMGuXbvwxx9/4ODBg+w4EydORPv27SXKRtTvJi8rK8OLFy+QkZEBZWVlWFtbo6amBidOnGiwo/rZs2d49uwZ+9+J27dvQ11dHYaGhtDS0oKTkxM0NTXh4+ODxYsXg8vlYseOHcjPz5d43/v3748RI0awZSOio6PRvXt3mJqaoqqqCsePH8fPP/+M2NhYifkvXLiAQYMGyf1+EELIP03BSvn+H0kIIYQQQv7FGEK+oLNnzzIAGhw+Pj6N9gPAbNmyhRk4cCCjoqLCGBsbMwkJCRJtgoODGW1tbYbP5zPffPMNs2HDBkYgELDXIyIiGDs7O/a1j48P4+npKTFGnz59mFmzZkmcMzIyYjZs2MAwDMPk5+czAJibN2+y15cuXcro6uoyHA6HXUdlZSUzc+ZMpnXr1oyKigrj4uLCpKenN7gPxcXF7Ln09HRm4MCBDJ/PZ3g8HmNra8usWLGCvV5UVMRMmDCBEQgEDJfLZYRCIXPv3r0G9yo5OZkBwBw4cEDivLTY3+fj4yP1/enTp4/MPtLu27v3jGHevn+JiYkSfQQCASMSidjXKSkpTI8ePRhlZWVGV1eXCQkJYcRiscw5qqurmcWLFzPGxsaMkpIS065dO2bEiBFMZmYmwzAMIxKJJN5/hmGYxMRE5t3/7NXW1jKRkZFM+/btGSUlJcbOzo45ceJEg/W9fv2aUVNTY6ZPn97g2vtrleXVq1dMWFgY07FjR0ZFRYXhcrmMra0tEx4ezrx8+VLmOqV58+YNEx0dzXTu3JlRVVVltLS0GBcXFyYuLk7inr1v69atjKOjo8Q5kUgk9T2PiIiQaBcdHc3o6+szampqjJOTE3PhwgWJ63369GnwcyxtXCMjI4ZhGOb3339n9PX1G8QYEREhtd+7n5WrV68ygwYNYrS0tBh1dXXG0dGROX78uMQ4RkZGEmtYuHAhY2ZmxqiqqjKampqMk5MTs3//fok+jx49YpSUlJiHDx/KvIdNUVJSwgBgSkpKPsl4hBBCCCGEEEJIY+T9PZTDMB/5hCJCviAOh4PExEQMHz68uUNp8X7++WfMmTMHT548aVKtWCJbQUEBTE1NcfXqVXTt2rW5w/lolZWVsLS0REJCQoOHNH5pQUFBqKmpwdatW5s1jneFhISguLgYP/744ycZr7S0FAKBACUlJWy9Y0IIIYQQQggh5HOR9/dQKhlByL9ERUUFnj59ipUrV2LKlCmUDP4ExGIxXr58iUWLFsHR0fEfnQwG3taA3r17N/7666/mDgWdOnVq9qT0+3R0dCQeCkcIIYQQQgghhPwbUUKYkH+J1atXY8WKFejduzfCwsKaO5x/hbS0NPTr1w8WFhYS9XL/yfr27dvcIQBAgwcWtgTff/99c4dACCGEEEIIIYR8dg2f1kRIC8QwDJWL+IDIyEiIxWIkJyeDz+c3dzj/Cn379gXDMMjJyUHnzp0/6dgpKSngcDh49erVJx23MQUFBeBwOOzD3lqy6upqmJmZ4eLFi80dCgDA0dERhw4dau4wCCGEEEIIIYSQv40SwoQQ0ojz58/Dw8MDenp64HA4OHLkSHOH9EXcv38f/v7+MDQ0hIqKCtq3b4/+/fsjPj4eNTU1bDsOh8MeAoEALi4uOHPmDHvd19dXok394ebm1uj827ZtQ4cOHeDs7MyeW7FiBZydnaGmpoZWrVpJ7Xf16lX0798frVq1gqamJoRCIW7dutXoXPK8x4sWLUJoaCjq6uoaHYsQQgghhBBCCGnpqGQEIYQ0ory8HHZ2dvD398fIkSObO5wvIj09HQMGDICNjQ22bNmCjh07AgCuXbuGLVu2oFOnTrCzs2Pbi0QiuLm54a+//sLChQsxdOhQ3LlzByYmJgAANzc3iEQiiTlUVFRkzs8wDGJiYrB06VKJ89XV1RgzZgycnJywc+fOBv3Kysrg5uaGYcOGYevWraipqUFERASEQiEePnwIJSUlqfPJ8x67u7sjICAAJ06cwJAhQ2TGTgghLZ1x6G9Nal+wkv6bRwghhBDyb0M7hAkhpBHu7u5Yvnw5RowY0aR+VVVVCAoKgo6ODlRVVdGrVy9cvXq10T6pqalwdXUFl8uFgYEBgoKCUF5ezl4vLi7GxIkToampCTU1Nbi7uyM3NxfA26SmhoZGg1rHR44cAY/Hw+vXr+WKm2EY+Pr6wsLCAmlpafDw8IC5uTnMzc0xbtw4pKamwtbWVqJPq1atoKuri06dOiE2NhaVlZU4ffo0e11FRQW6uroSh6ampswYrl+/jry8vAaJ1yVLlmDOnDkyy3f88ccfKCoqwtKlS2FpaQkbGxtERETgv//9Lx48eCBzPnneYwUFBQwePBj79++X2YYQQgghhBBCCPknoIQwIYR8BvPnz8ehQ4ewa9cu3LhxA2ZmZhAKhSgqKpLaPi8vD25ubhg1ahQyMzORkJCA1NRUBAYGsm18fX1x7do1JCUl4dKlS2AYBoMHD4ZYLAaPx4OXl1eDnbgikQijR4+Gurq6XHFnZGQgOzsb8+bNw1dfSf9fBIfDkdmfy+UCeLub92NduHABFhYWcsdcz9LSEtra2ti5cyeqq6tRWVmJnTt3wsrKCsbGxmw7DoeDuLi4Jsfl4OCACxcuyLxeVVWF0tJSiYMQQgghhBBCCGlpKCFMCCGfWHl5OWJjY7FmzRq4u7vD2toaO3bsAJfLlVrqAACio6Ph7e2N2bNnw9zcHM7Ozti8eTN2796NN2/eIDc3F0lJSfjpp5/g6uoKOzs7xMfH4/Hjx2zN24CAAJw6dQpPnz4FADx//hzHjx+Hv7+/3LHfu3cPwNvkar3nz5+Dz+ezx9atW6X2raiowKJFi6CgoIA+ffqw548dOybRn8/nIyoqSmYMDx48gJ6entwx11NXV0dKSgr27NkDLpcLPp+PkydP4sSJE1BU/H8VkiwtLSEQCJo8vp6eHh4+fCizjnB0dDQEAgF7GBgYNHkOQgghhBBCCCHkc6OEMCGE/A1RUVESic7CwkLk5eVBLBbDxcWFbaekpAQHBwdkZ2dLHefWrVuIi4uTGEsoFKKurg75+fnIzs6GoqIievbsyfbR1taGpaUlO6aDgwNsbGywa9cuAMCePXtgZGSE3r17S53TxsaGncvd3V3mGrW1tZGRkYGMjAy0atWqwe7fcePGgc/nQ11dHYcOHcLOnTslykr069eP7V9/TJ06VeZ8lZWVUFVVlXm9sX6TJk2Ci4sLLl++jLS0NHTq1AlDhgxBZWUl2+6PP/5ocgkQ4O3u57q6OlRVVUm9HhYWhpKSEvZ4+PBhk+cghBBCCCGEEEI+N3qoHCGE/A1Tp07F2LFj2dd6enp49epVk8cpKyvDlClTEBQU1OCaoaEhWyv4QwICArBlyxaEhoZCJBLBz89PZomH48ePQywWA/h/pR7Mzc0BADk5ObC3twfwtn6umZkZAEjstK23YcMGDBgwAAKBAG3atGlwncfjsf3l0bp1a9y+fVvu9vX27t2LgoICXLp0iS13sXfvXmhqauLo0aPw8vJq8pjvKioqAo/HY+/V+1RUVBp9WB4hhBBCCCGEENIS0A5hQgj5G7S0tGBmZsYeioqKMDU1hbKyMtLS0th2YrEYV69ehbW1tdRxunbtiqysLImx6g9lZWVYWVmhpqYGV65cYfu8fPkSOTk5EmN+++23ePDgATZv3oysrCz4+PjIjN3IyIido3379gAAe3t7dOzYEWvXrpVZGuF9urq6MDMzk5oM/hj29vb4448/wDBMk/pVVFTgq6++kkiA17+Wdy2NuXPnDpskJ4QQQgghhBBC/qlohzAhhDSirKwM9+/fZ1/n5+cjIyMDWlpaMDQ0lNqHx+Nh2rRpCA4OZtutXr0aFRUVmDRpktQ+ISEhcHR0RGBgIAICAsDj8ZCVlYXTp08jJiYG5ubm8PT0xOTJk7F9+3aoq6sjNDQU7du3h6enJzuOpqYmRo4cieDgYAwaNAj6+vpNWi+Hw4FIJMLAgQPh4uKCsLAwWFlZQSwW4/z583jx4gUUFBSaNGZVVRWePXsmcU5RURGtW7eW2r5fv34oKyvD3bt30alTJ/Z8YWEhioqKUFhYiNraWmRkZAAAzMzMwOfzMXDgQAQHB2PGjBmYOXMm6urqsHLlSigqKqJfv37sOB07dkR0dDRbNkLe9/jChQsYNGhQk9ZOCCEtTcHKIc0dAiGEEEIIaWa0Q5gQQhpx7do12NvbsztD586dC3t7eyxevLjRfitXrsSoUaMwYcIEdO3aFffv38epU6egqakptb2trS3OnTuHe/fuwdXVlZ3j3YeriUQidOvWDUOHDoWTkxMYhsHx48ehpKQkMdakSZNQXV3dpIfJvcvR0RHXr1+HpaUlZsyYAWtrazg7O2Pfvn3YsGEDpk2b1qTxTp48iXbt2kkcvXr1ktleW1sbI0aMQHx8vMT5xYsXw97eHhERESgrK2Pfl2vXrgF4m+j99ddfkZmZCScnJ7i6uuLJkyfs/PVycnJQUlLCvpbnPX78+DEuXrwIPz+/Jq2dEEIIIYQQQghpaThMU/8mlxBCSIv2888/Y86cOXjy5AmUlZWbO5yPkpmZiYEDByIvLw98Pr+5w0FISAiKi4vx448/yt2ntLQUAoEAJSUl0NDQ+IzREUIIIYQQQggh8v8eSjuECSHkX6KiogJ5eXlYuXIlpkyZ8o9NBgNvd0yvWrUK+fn5zR0KAEBHRwfLli1r7jAIIYQQQgghhJC/jXYIE0LIv0RkZCRWrFiB3r174+jRoy1iZ+3/MtohTAghhBBCCCHkS6IdwoQQ0kKlpKSAw+Hg1atXn3TcyMhIiMViJCcnN0gGFxQUgMPhsA9ia+mqq6thZmaGixcvNncoAN7WVT506FBzh0EIIYQQQgghhPxtlBAmhBAZzp8/Dw8PD+jp6YHD4eDIkSPNHdIXcf/+ffj7+8PQ0BAqKipo3749+vfvj/j4eNTU1LDtOBwOewgEAri4uODMmTMSYz179gwzZ86EiYkJVFRUYGBgAA8PDyQnJzcaw7Zt29ChQwc4Ozuz51asWAFnZ2eoqamhVatWUvtdvXoV/fv3R6tWraCpqQmhUIhbt241Opc87/OiRYsQGhqKurq6RscihBBCCCGEEEJaOsXmDoAQQlqq8vJy2NnZwd/fHyNHjmzucL6I9PR0DBgwADY2NtiyZQs6duwIALh27Rq2bNmCTp06wc7Ojm0vEong5uaGv/76CwsXLsTQoUNx584dmJiYoKCgAC4uLmjVqhXWrFmDzp07QywW49SpU5gxYwb++OMPqTEwDIOYmBgsXbpU4nx1dTXGjBkDJycn7Ny5s0G/srIyuLm5YdiwYdi6dStqamoQEREBoVCIhw8fQklJSep88rzP7u7uCAgIwIkTJzBkyBC57iUhhLRExqG/NXcIhDSrgpX0/3FCCCGEdggTQogM7u7uWL58OUaMGNGkflVVVQgKCoKOjg5UVVXRq1cvXL16tdE+qampcHV1BZfLhYGBAYKCglBeXs5eLy4uxsSJE6GpqQk1NTW4u7sjNzcXwNuEpoaGBg4ePCgx5pEjR8Dj8fD69Wu54mYYBr6+vrCwsEBaWho8PDxgbm4Oc3NzjBs3DqmpqbC1tZXo06pVK+jq6qJTp06IjY1FZWUlTp8+DQCYPn06OBwO0tPTMWrUKFhYWMDGxgZz587F5cuXZcZx/fp15OXlNUi8LlmyBHPmzEHnzp2l9vvjjz9QVFSEpUuXwtLSEjY2NoiIiMB///tfPHjwQOZ88rzPCgoKGDx4MPbv3y+zDSGEEEIIIYQQ8k9ACWFCCPnE5s+fj0OHDmHXrl24ceMGzMzMIBQKUVRUJLV9Xl4e3NzcMGrUKGRmZiIhIQGpqakIDAxk2/j6+uLatWtISkrCpUuXwDAMBg8eDLFYDB6PBy8vL4hEIolxRSIRRo8eDXV1dbnizsjIQHZ2NubNm4evvpL+vwcOhyOzP5fLBfB2J29RURFOnjyJGTNmgMfjNWgrq+QDAFy4cAEWFhZyx13P0tIS2tra2LlzJ6qrq1FZWYmdO3fCysoKxsbGEmuIi4tr0tgA4ODggAsXLsi8XlVVhdLSUomDEEIIIYQQQghpaSghTAghn1B5eTliY2OxZs0auLu7w9raGjt27ACXy5Va5gAAoqOj4e3tjdmzZ8Pc3BzOzs7YvHkzdu/ejTdv3iA3NxdJSUn46aef4OrqCjs7O8THx+Px48dsvduAgACcOnUKT58+BQA8f/4cx48fh7+/v9yx37t3D8DbxGq958+fg8/ns8fWrVul9q2oqMCiRYugoKCAPn364P79+2AYhi050RQPHjyAnp5ek/upq6sjJSUFe/bsAZfLBZ/Px8mTJ3HixAkoKv6/CkmWlpYQCARNHl9PTw8PHz6UWUc4OjoaAoGAPQwMDJo8ByGEEEIIIYQQ8rlRQpgQQj5SVFSURLK0sLAQeXl5EIvFcHFxYdspKSnBwcEB2dnZUse5desW4uLiJMYSCoWoq6tDfn4+srOzoaioiJ49e7J9tLW1YWlpyY7p4OAAGxsb7Nq1CwCwZ88eGBkZoXfv3lLntLGxYedyd3eXuUZtbW1kZGQgIyMDrVq1QnV1tcT1cePGgc/nQ11dHYcOHcLOnTtha2sLhmHku4lSVFZWQlVV9aP6TZo0CS4uLrh8+TLS0tLQqVMnDBkyBJWVlWy7P/74o8llQIC3O6Dr6upQVVUl9XpYWBhKSkrY4+HDh02egxBCCCGEEEII+dzooXKEEPKRpk6dirFjx7Kv9fT08OrVqyaPU1ZWhilTpiAoKKjBNUNDQ7ZW8IcEBARgy5YtCA0NhUgkgp+fn8wSD8ePH4dYLAbw/0o9mJubAwBycnJgb28P4G3tXDMzMwCQ2GVbb8OGDRgwYAAEAgHatGnDnjc3NweHw5H54LjGtG7dGrdv325yv71796KgoACXLl1iS17s3bsXmpqaOHr0KLy8vJo85ruKiorA4/HY+/U+FRUVqKio/K05CCGEEEIIIYSQz412CBNCyEfS0tKCmZkZeygqKsLU1BTKyspIS0tj24nFYly9ehXW1tZSx+natSuysrIkxqo/lJWVYWVlhZqaGly5coXt8/LlS+Tk5EiM+e233+LBgwfYvHkzsrKy4OPjIzN2IyMjdo727dsDAOzt7dGxY0esXbtWZlmE9+nq6sLMzEwiGVx/b4RCIbZs2SLxcLx6jSXO7e3t8ccffzR5l3FFRQW++uoriSR4/Wt519OYO3fusIlyQgghhBBCCCHkn4p2CBNCiAxlZWW4f/8++zo/Px8ZGRnQ0tKCoaGh1D48Hg/Tpk1DcHAw22716tWoqKjApEmTpPYJCQmBo6MjAgMDERAQAB6Ph6ysLJw+fRoxMTEwNzeHp6cnJk+ejO3bt0NdXR2hoaFo3749PD092XE0NTUxcuRIBAcHY9CgQdDX12/SejkcDkQiEQYOHAgXFxeEhYXBysoKYrEY58+fx4sXL6CgoCD3eFu2bIGLiwscHBywdOlS2NraoqamBqdPn0ZsbKzMEhr9+vVDWVkZ7t69i06dOrHnCwsLUVRUhMLCQtTW1iIjIwMAYGZmBj6fj4EDByI4OBgzZszAzJkzUVdXh5UrV0JRURH9+vVjx+nYsSOio6PZshHyvs8XLlzAoEGD5F4/IYS0RAUrhzR3CIQQQgghpJnRDmFCCJHh2rVrsLe3Z3eFzp07F/b29li8eHGj/VauXIlRo0ZhwoQJ6Nq1K+7fv49Tp05BU1NTantbW1ucO3cO9+7dg6urKzvHuw9WE4lE6NatG4YOHQonJycwDIPjx49DSUlJYqxJkyahurq6SQ+Te5ejoyOuX78OS0tLzJgxA9bW1nB2dsa+ffuwYcMGTJs2Te6xTExMcOPGDfTr1w/ff/89OnXqhIEDByI5ORmxsbEy+2lra2PEiBGIj4+XOL948WLY29sjIiICZWVl7Htz7do1AG8Tvb/++isyMzPh5OQEV1dXPHnyBCdPnkS7du3YcXJyclBSUsK+lud9fvz4MS5evAg/Pz+5108IIYQQQgghhLREHObvPPmHEEJIi/Lzzz9jzpw5ePLkCZSVlZs7nI+WmZmJgQMHIi8vD3w+v7nDQUhICIqLi/Hjjz/K3ae0tBQCgQAlJSXQ0ND4jNERQgghhBBCCCHy/x5KO4QJIeRfoKKiAnl5eVi5ciWmTJnyj04GA293Ta9atQr5+fnNHQoAQEdHB8uWLWvuMAghhBBCCCGEkL+NdggTQsi/QGRkJFasWIHevXvj6NGjLWJX7f862iFMCCGEEEIIIeRLoh3ChBDyCaSkpIDD4eDVq1dfbM6CggJwOBz2oWnyMDY2Bo/HQ3JycotOBsu7tpycHOjq6uL169dfJrBG/PXXX9DR0cGjR4+aOxRCCCGEEEIIIeRvo4QwIeRf4fz58/Dw8ICenh44HA6OHDnS3CGRvyEsLAwzZ86Euro6AODNmzfw9fVF586doaioiOHDh0vtFx8fDzs7O6ipqaFdu3bw9/fHy5cvG53rxx9/RN++faGhoSE1+d+6dWtMnDgRERERn2JphBBCCCGEEEJIs1Js7gAIIeRTKC8vh52dHfz9/TFy5MjmDud/klgshpKS0t8ep7CwEMeOHcMPP/zAnqutrQWXy0VQUBAOHToktV9aWhomTpyIDRs2wMPDA48fP8bUqVMxefJkHD58WOZ8FRUVcHNzg5ubG8LCwqS28fPzQ7du3bBmzRpoaWn9vQUSQkgzMg797bOMW7ByyGcZlxBCCCGEfHq0Q5gQ8q/g7u6O5cuXY8SIEU3qV1VVhaCgIOjo6EBVVRW9evXC1atXG+2TmpoKV1dXcLlcGBgYICgoCOXl5ez14uJiTJw4EZqamlBTU4O7uztyc3MBvE1ca2ho4ODBgxJjHjlyBDweT2aJhKSkJJibm0NVVRX9+vXDrl27ZJayKCgowFdffYVr165JnN+4cSOMjIxQV1cHALh79y6GDh0KDQ0NqKurw9XVFXl5eWz7n376CVZWVlBVVUXHjh2xdetWiTk4HA4SEhLQp08fqKqqIj4+HnV1dVi6dCn09fWhoqKCLl264OTJk43ez/cdOHAAdnZ2aN++PXuOx+MhNjYWkydPhq6urtR+ly5dgrGxMYKCgtChQwf06tULU6ZMQXp6eqPzzZ49G6GhoXB0dJTZxsbGBnp6ekhMTGzSWgghhBBCCCGEkJaGEsKEkP9p8+fPx6FDh7Br1y7cuHEDZmZmEAqFKCoqkto+Ly8Pbm5uGDVqFDIzM5GQkIDU1FQEBgaybXx9fXHt2jUkJSXh0qVLYBgGgwcPhlgsBo/Hg5eXF0QikcS4IpEIo0ePZkskvCs/Px+jR4/G8OHDcevWLUyZMgULFy6UuSZjY2MMGDBA6hy+vr746quv8PjxY/Tu3RsqKio4c+YMrl+/Dn9/f9TU1AB4W3ph8eLFWLFiBbKzsxEVFYXw8HDs2rVLYszQ0FDMmjUL2dnZEAqF2LRpE9atW4e1a9ciMzMTQqEQw4YNYxPi8rhw4QK6d+8ud/t6Tk5OePjwIY4fPw6GYfDf//4XBw8exODBg9k29TWhCwoKmjy+g4MDLly4IPN6VVUVSktLJQ5CCCGEEEIIIaSloYQwIeR/Vnl5OWJjY7FmzRq4u7vD2toaO3bsAJfLxc6dO6X2iY6Ohre3N2bPng1zc3M4Oztj8+bN2L17N968eYPc3FwkJSXhp59+gqurK+zs7BAfH4/Hjx+zdY0DAgJw6tQpPH36FADw/PlzHD9+HP7+/lLn3L59OywtLbFmzRpYWlrCy8sLvr6+ja4tICAA+/btQ1VVFQDgxo0buH37Nvz8/AAAW7ZsgUAgwP79+9G9e3dYWFjAz88PlpaWAICIiAisW7cOI0eORIcOHTBy5EjMmTMH27dvl5hn9uzZbJt27dph7dq1CAkJgZeXFywtLbFq1Sp06dIFGzdulOctAQA8ePAAenp6crev5+Ligvj4eHzzzTdQVlaGrq4uBAIBtmzZwrZRU1ODpaXlR5W20NPTw4MHD2Rej46OhkAgYA8DA4Mmz0EIIYQQQgghhHxulBAmhPxPiIqKAp/PZ4/CwkLk5eVBLBbDxcWFbaekpAQHBwdkZ2dLHefWrVuIi4uTGEsoFKKurg75+fnIzs6GoqIievbsyfbR1taGpaUlO6aDgwNsbGzY3bZ79uyBkZERevfuLXXOnJwc9OjRQ+Kcg4NDo+sdPnw4FBQU2BIHcXFx6NevH4yNjQEAGRkZcHV1lZoYLS8vR15eHiZNmiSxzuXLl0uUlAAgsZO3tLQUT548kbifwNtEraz7KU1lZSVUVVXlbl8vKysLs2bNwuLFi3H9+nWcPHkSBQUFmDp1KtvGwcEBf/zxh0Q5CnlxuVxUVFTIvB4WFoaSkhL2ePjwYZPnIIQQQgghhBBCPjd6qBwh5H/C1KlTMXbsWPa1np6e1Pq7H1JWVoYpU6YgKCiowTVDQ0O5SyMEBARgy5YtCA0NhUgkgp+fHzgcTpPjkUVZWRkTJ06ESCTCyJEjsXfvXmzatIm9zuVyZfYtKysDAOzYsUMisQ0ACgoKEq95PN4ni7le69atUVxc3OR+0dHRcHFxQXBwMADA1tYWPB4Prq6uWL58Odq1a/e34ioqKkKbNm1kXldRUYGKisrfmoMQQgghhBBCCPncaIcwIeR/gpaWFszMzNhDUVERpqamUFZWRlpaGttOLBbj6tWrsLa2ljpO165dkZWVJTFW/aGsrAwrKyvU1NTgypUrbJ+XL18iJydHYsxvv/0WDx48wObNm5GVlQUfHx+ZsVtaWjZ4QNyHHnwHvE06//7779i6dStqamowcuRI9pqtrS0uXLgAsVjcoF/btm2hp6eHP//8s8EaO3ToIHM+DQ0N6OnpSdxPAEhLS5N5P6Wxt7dHVlaW3O3rVVRU4KuvJP+3Vp/AZhimyeO9786dO7C3t//b4xBCCCGEEEIIIc2JdggTQv4VysrKcP/+ffZ1fn4+MjIyoKWlBUNDQ6l9eDwepk2bhuDgYLbd6tWrUVFRgUmTJkntExISAkdHRwQGBiIgIAA8Hg9ZWVk4ffo0YmJiYG5uDk9PT0yePBnbt2+Huro6QkND0b59e3h6erLjaGpqYuTIkQgODsagQYOgr68vc21TpkzB+vXrERISgkmTJiEjIwNxcXEA0OiuYisrKzg6OiIkJAT+/v4Su4IDAwPxww8/wMvLC2FhYRAIBLh8+TIcHBxgaWmJJUuWICgoCAKBAG5ubqiqqsK1a9dQXFyMuXPnypwzODgYERERMDU1RZcuXSASiZCRkYH4+HiZfd4nFAoREBCA2tpaiR3JWVlZqK6uRlFREV6/fo2MjAwAQJcuXQAAHh4emDx5MmJjYyEUCvH06VPMnj0bDg4ObE3i9PR0TJw4EcnJyWzZiGfPnuHZs2fs5+f27dtQV1eHoaEhtLS0ALxNNl+/fh1RUVFyr4MQQlqigpVDmjsEQgghhBDS3BhCCPkXOHv2LAOgweHj49Nov8rKSmbmzJlM69atGRUVFcbFxYVJT09vMG5xcTF7Lj09nRk4cCDD5/MZHo/H2NraMitWrGCvFxUVMRMmTGAEAgHD5XIZoVDI3Lt3r8HcycnJDADmwIEDEufz8/MZAMzNmzfZc0ePHmXMzMwYFRUVpm/fvkxsbCwDgKmsrGQYhmFEIhEjEAgazLFz504GgMSa6t26dYsZNGgQo6amxqirqzOurq5MXl4eez0+Pp7p0qULo6yszGhqajK9e/dmDh8+LDNGhmGY2tpaJjIykmnfvj2jpKTE2NnZMSdOnGh0be8Ti8WMnp4ec/LkSYnzRkZGUt/jd23evJmxtrZmuFwu065dO8bb25t59OgRe73+/czPz2fPRURESB1XJBKxbfbu3ctYWlrKjFmakpISBgBTUlLSpH6EEEIIIYQQQsjHkPf3UA7DfIK/oyWEENJkP//8M+bMmYMnT55AWVm5SX1XrFiBbdu2ffDBZcuWLcMvv/yCzMzMvxPqF7dlyxYkJSXh1KlTzR0KAMDR0RFBQUEYP3683H1KS0shEAhQUlICDQ2NzxgdIYQQQgghhBAi/++hVDKCEEK+sIqKCjx9+hQrV67ElClT5EoGb926FT169IC2tjbS0tKwZs0aBAYGymxfVlaGgoICxMTEYPny5Z8y/C9iypQpePXqFV6/fg11dfVmjeWvv/7CyJEjMW7cuGaNgxBCCCGEEEII+RRohzAhhHxhkZGRWLFiBXr37o2jR4+Cz+d/sM+cOXOQkJCAoqIiGBoaYsKECQgLC4OiovTv9Xx9fbFv3z4MHz4ce/fulajFS74M2iFMCCGEEEIIIeRLkvf3UEoIE9JCpaSkoF+/figuLkarVq2+yJwFBQXo0KEDbt68yT6o61Pp27cvunTpgo0bNwIAjI2NMXv2bMyePfuzzfEl+Pr64tWrVzhy5MgXm/Nj7dy5EwkJCfi///u/5g6lxQkNDUV5eTl++OGHTzYmJYQJIYQQQgghhHxJ8v4e+tUXjImQf6Xz58/Dw8MDenp64HA4/4jE4N+RkpICT09PtGvXDjweD126dEF8fHyTx7l69Sq+++67zxBhy8QwDHbs2AEnJydoaGiAz+fDxsYGs2bNwv3799l2kZGR4HA44HA4UFRUhLGxMebMmYOysjIAb5P29dffPy5fvixz/jdv3iA8PBwRERHsubt372LUqFEwNjYGh8ORmkivra1FeHg4OnToAC6XC1NTUyxbtgwf+i4xKCgI3bp1g4qKSqNfLpw7dw4GBgYA5PtZKisrQ2BgIPT19cHlcmFtbY1t27Y1Gos8n9l58+Zh165d+PPPPxv0j4uLQ1xcXKNzEEIIIYQQQggh/xRUQ5iQv6m8vBx2dnbw9/fHyJEjmzucz+7ixYuwtbVFSEgI2rZti2PHjmHixIkQCAQYOnSo3OO0adPmM0bZsjAMg/Hjx+PIkSNYsGABNmzYAD09PTx58gSJiYlYvny5RMLRxsYGv//+O2pqapCWlgZ/f39UVFRg+/btbJvff/8dNjY2EvNoa2vLjOHgwYPQ0NCAi4sLe66iogImJiYYM2YM5syZI7XfqlWrEBsbi127dsHGxgbXrl2Dn58fBAIBgoKCGl23v78/rly50ugD7Y4ePQoPDw8A8v0szZ07F2fOnMGePXtgbGyM//u//8P06dOhp6eHYcOGSe0jz2e2devWEAqFiI2NxZo1awAAGzZsQEBAADvO69ev8dNPP8m8V4QQ8k9gHPpbc4fwr1Swckhzh0AIIYQQIjfaIUzI3+Tu7o7ly5djxIgRTepXVVWFoKAg6OjoQFVVFb169cLVq1cb7ZOamgpXV1dwuVwYGBggKCgI5eXl7PXi4mJMnDgRmpqaUFNTg7u7O3JzcwG8TbZpaGjg4MGDEmMeOXIEPB4Pr1+/livuBQsWYNmyZXB2doapqSlmzZoFNzc3HD58uEnrNzY2ltiRyuFw8NNPP2HEiBFQU1ODubk5kpKSJPqcO3cODg4OUFFRQbt27RAaGoqamhqZc1RVVWHevHlo3749eDweevbsiZSUFIk2hw4dgo2NDVRUVGBsbIx169ax15YuXYpOnTo1GLdLly4IDw+Xe60JCQnYv38/EhISEB4eDkdHRxgaGsLR0RGrVq2CSCSSaK+oqAhdXV3o6+vjm2++gbe3d4N7oa2tDV1dXYlDSUlJZgz79+9nE6/1evTogTVr1sDLywsqKipS+128eBGenp4YMmQIjI2NMXr0aAwaNAjp6emNrnnz5s2YMWMGTExMGm2XlJTEJnLl+Vm6ePEifHx80LdvXxgbG+O7776DnZ1do/HI+5n18PDA/v372deampoYOHAgUlNTkZqaioEDB0JTU7PR9RBCCCGEEEIIIS0dJYQJaSbz58/HoUOHsGvXLty4cQNmZmYQCoUoKiqS2j4vLw9ubm4YNWoUMjMzkZCQgNTUVAQGBrJtfH19ce3aNSQlJeHSpUtgGAaDBw+GWCwGj8eDl5dXg+SjSCTC6NGjoa6u/tFrKSkpgZaW1kf3r7dkyRKMHTsWmZmZGDx4MLy9vdn78fjxYwwePBg9evTArVu3EBsbi507d2L58uUyxwsMDMSlS5ewf/9+ZGZmYsyYMXBzc2OT5NevX8fYsWPh5eWF27dvIzIyEuHh4exuXX9/f2RnZ0sk6m/evInMzEz4+fnJva59+/bB0tJS5g5WDofTaH8ul4vq6mq555MmNTUV3bt3b3I/Z2dnJCcn4969ewCAW7duITU1Fe7u7mybyMhIGBsbN3nsu3fv4vnz5/j666+bFE9SUhIeP34MhmFw9uxZ3Lt3D4MGDWLb+Pr6om/fvo2OI+0z6+DggEePHqGgoIAd58CBAzh27BiOHTuGAwcOwNfXV+aYVVVVKC0tlTgIIYQQQgghhJCWhhLChDSD8vJy9k/T3d3dYW1tjR07doDL5WLnzp1S+0RHR8Pb2xuzZ8+Gubk5nJ2dsXnzZuzevRtv3rxBbm4ukpKS8NNPP8HV1RV2dnaIj4/H48eP2VqsAQEBOHXqFJ4+fQoAeP78OY4fPw5/f/+PXsuBAwdw9erVJiVIZfH19cW4ceNgZmaGqKgolJWVsTs/t27dCgMDA8TExKBjx44YPnw4lixZgnXr1qGurq7BWIWFhRCJRPjll1/g6uoKU1NTzJs3D7169WKT4uvXr0f//v0RHh4OCwsL+Pr6IjAwkC0ZoK+vD6FQKJFEF4lE6NOnzwd3vr7r3r17sLS0lDg3e/Zs8Pl88Pl86Ovry+x7/fp17N27t0HS1NnZme1ff8jy6tUrlJSUQE9PT+6Y64WGhsLLywsdO3aEkpIS7O3tMXv2bHh7e7NtWrduDVNT0yaPffToUQiFQigrK8vd54cffoC1tTX09fWhrKwMNzc3bNmyBb1792bbtGvXDoaGhjLHkPWZrb8/Dx48AADs2bMHY8eOxZAhQzBkyBCMHTsWe/bskTludHQ0BAIBe9TXRiaEEEIIIYQQQloSSggT8plFRUVJJO0KCwuRl5cHsVgsUc9VSUkJDg4OyM7OljrOrVu3EBcXJzGWUChEXV0d8vPzkZ2dDUVFRfTs2ZPto62tDUtLS3ZMBwcH2NjYYNeuXQDeJryMjIwkkmnvsrGxYed6d0dovbNnz8LPzw87duxg69leuHBBIsamPHDO1taW/TePx4OGhgaeP38OAMjOzoaTk5PEbloXFxeUlZXh0aNHDca6ffs2amtrYWFhIRHPuXPnkJeXx4757ntQP2Zubi5qa2sBAJMnT8a+ffvw5s0bVFdXY+/evTIT6PHx8RJzXbhwQeZaFy5ciIyMDCxevJh9YNy7sfP5fHC5XDg4OMDJyQkxMTESbRISEpCRkSFxyFJZWQkAUFVVldlGlgMHDiA+Ph579+7FjRs3sGvXLqxdu5b9DAFvd2InJyc3eeyjR4/K3DUtyw8//IDLly8jKSkJ169fx7p16zBjxgz8/vvvbJvo6Gjs3r1ban9pn9l6XC4XwNvaysDbL0xOnz4NV1dXuLq64vTp0+znUZqwsDCUlJSwx8OHD5u0NkIIIYQQQggh5Eugh8oR8plNnToVY8eOZV/r6enh1atXTR6nrKwMU6ZMkfogL0NDQ7YMwocEBARgy5YtCA0NhUgkgp+fn8ySBcePH4dYLAbw/5Jl9c6dOwcPDw9s2LABEydOZM93795dIjnZtm1bueIC0KAGLofDkbr7Vx5lZWVQUFDA9evXoaCgIHGtsd207/Pw8ICKigoSExOhrKwMsViM0aNHS207bNgwiYR8+/btAQDm5ubIycmRaNumTRu0adMGOjo6DcaxtLREUlISFBUVoaenJ3UHrYGBAczMzORag7a2NjgcDoqLi+Vq/67g4GB2lzAAdO7cGQ8ePEB0dDR8fHyaPF69p0+f4ubNmxgyRP6H8FRWVmLBggVITExk+9na2iIjIwNr167FgAEDGu0v6zNbr748Sf0DD+fOnStxXV1dvcG5d6moqMisxUwIIYQQQgghhLQUlBAm5DPT0tJqUKvU1NQUysrKSEtLg5GREQBALBbj6tWrmD17ttRxunbtiqysLJlJQCsrK9TU1ODKlStwdnYGALx8+RI5OTmwtrZm23377beYP38+Nm/ejKysrEaTevWxvS8lJQVDhw7FqlWr8N1330lc43K5cicqm8LKygqHDh0CwzBsAjstLQ3q6upSSy7Y29ujtrYWz58/h6urq8wx09LSJM6lpaXBwsKCTSIrKirCx8cHIpEIysrK8PLyapAcr6euri61FvO4ceMwfvx4HD16FJ6enh9cq7Ky8ie9h8rKyrC2tkZWVpZErV15VFRU4KuvJP+YREFB4aMT9fV+/fVXODs7N6n2tFgshlgs/qh4GvvM1rtz5w6UlJQa7BxurG4wIYT80xSslP+LOEIIIYQQ8u9ECWFC/qaysjLcv3+ffZ2fn4+MjAxoaWnJrGPK4/Ewbdo0BAcHs+1Wr16NiooKTJo0SWqfkJAQODo6IjAwEAEBAeDxeMjKysLp06cRExMDc3NzeHp6YvLkydi+fTvU1dURGhqK9u3bSyQhNTU1MXLkSAQHB2PQoEGN1q+V5uzZsxg6dChmzZqFUaNG4dmzZwDeJh0/xYPlZJk+fTo2btyImTNnIjAwEDk5OYiIiMDcuXMbJAgBwMLCAt7e3pg4cSLWrVsHe3t7vHjxAsnJybC1tcWQIUPw/fffo0ePHli2bBm++eYbXLp0CTExMdi6davEWAEBAbCysgKABglkeXh5eeHw4cPw8vJCWFgYhEIh2rZtiwcPHiAhIaHBDmZ5vHz5kr339Vq1aiWzLIRQKERqaqrEFw7V1dXIyspi//348WNkZGSAz+ezCWkPDw+sWLEChoaGsLGxwc2bN7F+/XqJshkxMTFITEyUKBtx//59lJWV4dmzZ6isrGR3jVtbW0NZWRlJSUkNykV86GdJQ0MDffr0QXBwMLhcLoyMjHDu3Dns3r0b69evZ/uFhYXh8ePHbNkIeT+zFy5cgKurq8yEPyGEEEIIIYQQ8q/AEEL+lrNnzzIAGhw+Pj6N9qusrGRmzpzJtG7dmlFRUWFcXFyY9PT0BuMWFxez59LT05mBAwcyfD6f4fF4jK2tLbNixQr2elFRETNhwgRGIBAwXC6XEQqFzL179xrMnZyczABgDhw4IHE+Pz+fAcDcvHlTZtw+Pj5S19unT59G19unTx9m1qxZ7GsjIyNmw4YN7GsATGJiokQfgUDAiEQi9nVKSgrTo0cPRllZmdHV1WVCQkIYsVgsc47q6mpm8eLFjLGxMaOkpMS0a9eOGTFiBJOZmcm2OXjwIGNtbc0oKSkxhoaGzJo1a6TG7+rqytjY2Ei9H56eno2unWEYpra2ltm2bRvTs2dPhsfjMcrKyoyJiQkzefJkJisri20XERHB2NnZyRyn/j2Sduzbt09mv7t37zJcLpd59erVB8d6970sLS1lZs2axRgaGjKqqqqMiYkJs3DhQqaqqkoiZiMjI4n5+vTpI3Xs/Px8pqysjFFVVWVyc3Ml+sjzs/T06VPG19eX0dPTY1RVVRlLS0tm3bp1TF1dHdvGx8dHYg3yfmYtLS0bvYdNVVJSwgBgSkpKPtmYhBBCCCGEEEKILPL+HsphGIb5XMlmQkjL9PPPP2POnDl48uSJ1Pq0RBLDMDA3N8f06dMbrSHb0o0ZMwZdu3ZFWFhYs8Zx+PBhLFq0iN2d3BKcOHEC33//PTIzM6Go+Gn+eKa0tBQCgQAlJSXQ0ND4JGMSQgghhBBCCCGyyPt7aMO/syaE/GtVVFQgLy8PK1euxJQpUygZLIcXL14gJiYGz549g5+fX3OH87esWbOmSQ/U+1z4fD5WrVrV3GFIKC8vh0gk+mTJYEIIIYQQQgghpKWihDAhjUhJSQGHw8GrV6++2JwFBQXgcDhszdVPafXq1ejYsSN0dXW/6C5RedYUFxeHVq1aNTpOZGQkunTp8klj+xAdHR0sXboUP/74IzQ1NaW28fX1xfDhw79oXB/D2NgYampqTX6w3Kc2aNAgeHh4NGsM7xs9ejRmzZqFQ4cONXcohBBCCCGEEELIZ0UJYfKvcP78eXh4eEBPTw8cDgdHjhxp7pA+q5SUFHh6eqJdu3bg8Xjo0qUL4uPjP9gvMjISYrEYycnJLWKn6Lu++eYb3Lt3r7nDaIBhGLx48QLjx4//JGPt2LEDTk5O0NDQAJ/Ph42NDWbNmiXxMLXIyEhwOBxwOBwoKirC2NgYc+bMQVlZGYD/l2CXdly+fFnm/G/evEF4eDgiIiLYc3fv3sWoUaNgbGwMDoeDjRs3NuhXW1uL8PBwdOjQAVwuF6ampli2bBk+VHEoKCgI3bp1g4qKSqOJ/HPnzsHAwAAAEB0djR49ekBdXR06OjoYPnw4cnJyGqxjxowZ0NbWBp/Px6hRo/Df//630VjetX//fnA4nAZJ/EWLFiE0NBR1dXUN+vj6+qKgoEDuOQghhBBCCCGEkJaK/jaW/CuUl5fDzs4O/v7+GDlyZHOH89ldvHgRtra2CAkJQdu2bXHs2DFMnDgRAoEAQ4cO/aRzicViKCkpfdIxpeFyueByuZ99nubCMAzGjx+PI0eOYMGCBdiwYQP09PTw5MkTJCYmYvny5YiLi2Pb29jY4Pfff0dNTQ3S0tLg7++PiooKbN++nW3z+++/w8bGRmIebW1tmTEcPHgQGhoacHFxYc9VVFTAxMQEY8aMwZw5c6T2W7VqFWJjY7Fr1y7Y2Njg2rVr8PPzg0AgQFBQUKPr9vf3x5UrV5CZmSmzzdGjR9kdw+fOncOMGTPQo0cP1NTUYMGCBRg0aBCysrLA4/EAAHPmzMFvv/2GX375BQKBAIGBgRg5ciTS0tIajQV4m0yfN28eXF1dG1xzd3dHQEAATpw4gSFDhqCoqAj79u3D9OnT2TZ5eXm4fPkyvL29PzgXIYS0RMahvzV3CP/zClYOae4QCCGEEPI/jnYIk38Fd3d3LF++HCNGjGhSv6qqKgQFBUFHRweqqqro1asXrl692mif1NRUuLq6gsvlwsDAAEFBQSgvL2evFxcXY+LEidDU1ISamhrc3d2Rm5sL4G3iWkNDAwcPHpQY88iRI+DxeHj9+rVccS9YsADLli2Ds7MzTE1NMWvWLLi5ueHw4cON9jt58iR69eqFVq1aQVtbG0OHDkVeXh57vX7naUJCAvr06QNVVVXEx8fj5cuXGDduHNq3bw81NTV07twZ+/btkxi7rq4Oq1evhpmZGVRUVGBoaIgVK1ZItPnzzz/Rr18/qKmpwc7ODpcuXWKvSSsZsXLlSrRt2xbq6uqYNGkS3rx502DOpUuXQl9fn92FevLkyQbrOXz4sMx5AeDQoUOwsbGBiooKjI2NsW7dOvba0qVL0alTpwb3skuXLggPD2/0fr8rISEB+/fvR0JCAsLDw+Ho6AhDQ0M4Ojpi1apVEIlEEu0VFRWhq6sLfX19fPPNN/D29kZSUpJEG21tbejq6kocjSXv9+/f36BUQ48ePbBmzRp4eXlBRUVFar+LFy/C09MTQ4YMgbGxMUaPHo1BgwYhPT290TVv3rwZM2bMgImJSaPtkpKSMGzYMABvP6O+vr6wsbGBnZ0d4uLiUFhYiOvXrwMASkpKsHPnTqxfvx5ff/01unXrBpFIhIsXLza6Oxp4u9PZ29sbS5YskRqTgoICBg8ejP379wMAVFVV8fjxY7i5ueHRo0fYtm0bfH190aFDh0bnIYQQQgghhBBCWjJKCJP/afPnz8ehQ4ewa9cu3LhxA2ZmZhAKhSgqKpLaPi8vD25ubhg1ahQyMzORkJCA1NRUBAYGsm18fX1x7do1JCUl4dKlS2AYBoMHD4ZYLAaPx4OXl1eD5J9IJMLo0aOhrq7+0WspKSmBlpZWo23Ky8sxd+5cXLt2DcnJyfjqq68wYsSIBn8iHxoailmzZiE7OxtCoRBv3rxBt27d8Ntvv+HOnTv47rvvMGHCBImEYFhYGFauXInw8HBkZWVh7969aNu2rcS4CxcuxLx585CRkQELCwuMGzcONTU1UmM9cOAAIiMjERUVhWvXrqFdu3bYunWrRJtNmzZh3bp1WLt2LTIzMyEUCjFs2DA2AS/PvNevX8fYsWPh5eWF27dvIzIyEuHh4exuXX9/f2RnZ0t8UXDz5k1kZmY26SFz+/btg6WlJZv4fB+Hw2m0P5fLRXV1tdzzSZOamoru3bs3uZ+zszOSk5PZkh63bt1Camoq3N3d2TaRkZEwNjZu8th3797F8+fP8fXXX0u9XlJSAgDsZ/v69esQi8UYMGAA26Zjx44wNDSUSPQbGxsjMjJSYqylS5dCR0cHkyZNkhmPg4MDLly4AABQU1NDVFQUZs2ahZSUFFy+fBlnzpyBs7Nzk9dJCCGEEEIIIYS0FFQygvzPKi8vR2xsLOLi4tjE1o4dO3D69Gns3LkTwcHBDfpER0fD29sbs2fPBgCYm5tj8+bN6NOnD2JjY/Hw4UMkJSUhLS2NTRrFx8fDwMAAR44cwZgxYxAQEABnZ2c8ffoU7dq1w/Pnz3H8+HH8/vvvH72WAwcO4OrVqxLlBKQZNWqUxOv//Oc/aNOmDbKysiR2wc6ePbtB6Y158+ax/545cyZOnTqFAwcOwMHBAa9fv8amTZsQExMDHx8fAICpqSl69erVYIwhQ97+meSSJUtgY2OD+/fvo2PHjg1i3bhxIyZNmsQm75YvX47ff/9dYpfw2rVrERISAi8vLwBvSxucPXsWGzduxJYtW+Sad/369ejfvz+729fCwgJZWVlYs2YNfH19oa+vD6FQCJFIhB49egB4m8Dv06fPB3e+vuvevXuwtLSUODd79mz89NNPAIBWrVrh0aNHUvtev34de/fubZA0dXZ2xldfSX6vV19n+H2vXr1CSUkJ9PT05I65XmhoKEpLS9GxY0coKCigtrYWK1askCib0Lp1a5iamjZ57KNHj0IoFEJZWbnBtbq6OsyePRsuLi7s5/PZs2dQVlZusJu8bdu2ePbsGfva1NQUrVu3Zl+npqZi586dH3xYo56eHh4+fIi6ujpUV1cjKioKV65cQd++fdG9e3cMGDAAa9asgYODQ4O+VVVVqKqqYl+XlpbKcwsIIYQQQgghhJAvinYIk/8JUVFR4PP57FFYWIi8vDyIxWKJeqpKSkpwcHBAdna21HFu3bqFuLg4ibGEQiHq6uqQn5+P7OxsKCoqomfPnmwfbW1tWFpasmM6ODjAxsYGu3btAgDs2bMHRkZG6N27t9Q5bWxs2Lne3ZFZ7+zZs/Dz88OOHTvYerIXLlyQiLH+gXO5ubkYN24cTExMoKGhwe7oLCwslBjz/V2ktbW1WLZsGTp37gwtLS3w+XycOnWK7ZednY2qqir0799f+hvw/7O1tWX/3a5dOwDA8+fPpbbNzs6WuI8A4OTkxP67tLQUT548kXj/AMDFxaXB+9fYvNnZ2VLHyM3NRW1tLQBg8uTJ2LdvH968eYPq6mrs3bsX/v7+UuOOj4+XuPf1u02lWbhwITIyMrB48eIGidzbt2+Dz+eDy+XCwcEBTk5OiImJkWiTkJCAjIwMiUOWyspKAG/LIDTVgQMHEB8fj7179+LGjRvYtWsX1q5dy36GASAwMBDJyclNHvvo0aMyd03PmDEDd+7cYUs4NEVycjK7c//169eYMGECduzYIZEklobL5aKurg5VVVWoqKhA27ZtcfLkSejr62Pq1Kn4z3/+I/Phh9HR0RAIBOxR/6A8QgghhBBCCCGkJaEdwuR/wtSpUzF27Fj2tZ6eHl69etXkccrKyjBlyhSpD9IyNDRsUKpAloCAAGzZsgWhoaEQiUTw8/OTWTLg+PHjEIvFANDgoWvnzp2Dh4cHNmzYgIkTJ7Lnu3fvLpEcrC/d4OHhASMjI+zYsQN6enqoq6tDp06dGpQiqH94V701a9Zg06ZN2LhxIzp37gwej4fZs2ez/eR9GNy79W3r1/t+uYrP4e/O6+HhARUVFSQmJkJZWRlisRijR4+W2nbYsGESiez27dsDeLubPCcnR6JtmzZt0KZNG+jo6DQYx9LSEklJSVBUVISenp7UHbQGBgYwMzOTaw3a2trgcDgoLi6Wq/27goODERoayu7E7ty5Mx48eIDo6Gh2R/jHePr0KW7evMnu3n5XYGAgjh07hvPnz0NfX589r6uri+rqarx69Upil/B///tf6OrqSp0nLy8PBQUFEvWT699/RUVF5OTksLubi4qKwOPx2IcczpgxQ2IsU1NTmTuhw8LCMHfuXPZ1aWkpJYUJIYQQQgghhLQ4lBAm/xO0tLQa1Nc1NTWFsrIy0tLSYGRkBAAQi8W4evUqWxLifV27dkVWVpbMJJyVlRVqampw5coVtmTEy5cvkZOTA2tra7bdt99+i/nz52Pz5s3IyspqNKlWH9v7UlJSMHToUKxatQrfffedxDUul9sgxvo4duzYAVdXVwBv/4xeHmlpafD09MS3334L4G0y7d69e+yazM3NweVykZycjICAALnG/BArKytcuXJFItH97kPDNDQ0oKenh7S0NPTp00ciVml/zt/YPGlpaRLn0tLSYGFhAQUFBQBvk4Y+Pj4QiURQVlaGl5eXzCS4urq61FrQ48aNw/jx43H06FF4enp+MC5lZWW5k73yUFZWhrW1NbKysjBo0KAm9a2oqGhQmkJBQeFvJ/N//fVXODs7S/xsMgyDmTNnIjExESkpKQ0e4NatWzcoKSkhOTmZLYGSk5ODwsJCiR3k7+rYsSNu374tcW7RokVsqZN3k7Z37tyBvb19gzHqa0o3RkVFReaD+QghhBBCCCGEkJaCEsLkX6GsrAz3799nX+fn5yMjIwNaWlowNDSU2ofH42HatGkIDg5m261evRoVFRUyHzoVEhICR0dHBAYGIiAgADweD1lZWTh9+jRiYmJgbm4OT09PTJ48Gdu3b4e6ujpCQ0PRvn17iSSgpqYmRo4cieDgYAwaNEhiB6Q8zp49i6FDh2LWrFkYNWoUWztVWVlZ5oPlNDU1oa2tjR9//BHt2rVDYWEhQkND5ZrP3NwcBw8exMWLF6GpqYn169fjv//9L5sQVlVVRUhICObPnw9lZWW4uLjgxYsXuHv3bqMP8GrMrFmz4Ovri+7du8PFxQXx8fG4e/euRN3e4OBgREREwNTUFF26dIFIJEJGRgZbIkMe33//PXr06IFly5bhm2++waVLlxATE9PgAXYBAQGwsrICgAYJZHl4eXnh8OHD8PLyQlhYGIRCIdq2bYsHDx4gISGBTT43xcuXLyXq5gJvaxHLKgshFAqRmpoq8YVHdXU1srKy2H8/fvwYGRkZ4PP5bELaw8MDK1asgKGhIWxsbHDz5k2sX79eomxGTEwMEhMTJcpG3L9/H2VlZXj27BkqKyvZXevW1tZQVlZGUlJSg3IRM2bMwN69e3H06FGoq6uz6xMIBOByuRAIBJg0aRLmzp0LLS0taGhoYObMmXBycoKjoyM7Tv/+/TFixAgEBgZCVVVVokZ2/X0C0OD8hQsXmpwwJ4SQf5KClQ3/KoMQQgghhPyPYQj5Fzh79iwDoMHh4+PTaL/Kykpm5syZTOvWrRkVFRXGxcWFSU9PbzBucXExey49PZ0ZOHAgw+fzGR6Px9ja2jIrVqxgrxcVFTETJkxgBAIBw+VyGaFQyNy7d6/B3MnJyQwA5sCBAxLn8/PzGQDMzZs3Zcbt4+Mjdb19+vRpdL2nT59mrKysGBUVFcbW1pZJSUlhADCJiYmNzv3y5UvG09OT4fP5jI6ODrNo0SJm4sSJjKenJ9umtraWWb58OWNkZMQoKSkxhoaGTFRUlMxxi4uLGQDM2bNnGYZhGJFIxAgEAol5V6xYwbRu3Zrh8/mMj48PM3/+fMbOzk5izsjISKZ9+/aMkpISY2dnx5w4caLRe/n+vAzDMAcPHmSsra3ZuNesWSP1/rm6ujI2NjYNzvv4+EjcC1lqa2uZbdu2MT179mR4PB6jrKzMmJiYMJMnT2aysrLYdhERERLrfF/9uqQd+/btk9nv7t27DJfLZV69evXBsd79LJWWljKzZs1iDA0NGVVVVcbExIRZuHAhU1VVJRGzkZGRxHx9+vSROnZ+fj5TVlbGqKqqMrm5uRJ9ZK1LJBKxbSorK5np06czmpqajJqaGjNixAjm6dOnEuMYGRkxERERMu+FtPfs0aNHjJKSEvPw4UOZ/ZqipKSEAcCUlJR8kvEIIYQQQgghhJDGyPt7KIdhGOYz5ZoJIY34+eefMWfOHDx58kRqfVjSsjAMA3Nzc0yfPl2iTuw/zZgxY9C1a1eEhYU1axyHDx/GokWL2N3JLUFISAiKi4vx448/fpLxSktLIRAIUFJSAg0NjU8yJiGEEEIIIYQQIou8v4d+JfMKIeSzqKioQF5eHlauXIkpU6ZQMvgf4MWLF4iJicGzZ8/g5+fX3OH8LWvWrAGfz2/uMMDn87Fq1armDkOCjo4Oli1b1txhEEIIIYQQQgghnxXtECbkC4uMjMSKFSvQu3dvHD16tEUk50jjOBwOWrdujU2bNmH8+PHNHQ75h6AdwoQQQgghhBBCviTaIUxICxUZGQmxWIzk5GRKBrcwHA4HR44cAQAUFBSAw+EgIyMDDMPgxYsXnyQZ/O4cX4qxsTE2btz4ReeUx86dO1vMA9y2bdsGDw+P5g6DEEIIIYQQQgj57CghTAj51zl//jw8PDygp6f30QlYAwMDPH36FJ06dfr0AbZQpaWlCA8Ph42NDbhcLrS1tdGjRw+sXr0axcXFbLu+ffuCw+GAw+FAVVUV1tbW2Lp1K3s9Li4OrVq1anSuN2/eIDw8HBEREey5u3fvYtSoUTA2NgaHw5GaxK6trUV4eDg6dOgALpcLU1NTLFu2DI39scutW7cwbtw4GBgYgMvlwsrKCps2bZJo4+/vjxs3buDChQsN+qekpCAyMrLR9RBCCCGEEEIIIf8Uis0dACGEfGrl5eWws7ODv78/Ro4c+VFjKCgoQFdX9xNH1nIVFRWhV69eKC0txbJly9CtWzcIBALk5ORAJBJh7969mDFjBtt+8uTJWLp0KSoqKrB7927MmDEDmpqaGDdunFzzHTx4EBoaGnBxcWHPVVRUwMTEBGPGjMGcOXOk9lu1ahViY2Oxa9cu2NjY4Nq1a/Dz84NAIEBQUJDUPtevX4eOjg72/H/s3Xtczvf/+PHHRTqfFEmS6KTSUYxiEsphCZ8tmSGWMcz5OMflPNkwcxh2YYk2RDaz0eYjsRFCmNMHmcPYJ5UkRdfvD7/eX5cO4sNie95vt+t263q/X6/n6/l+X9luPXv1fMfGUrduXfbt28d7771H1apVGTJkCAC6urq8/fbbLFq0iJYtWwIPdw0/+v1TUFDAZ599xtChQ6lWrVqFrlMIISqL/fjvSj1+cU6nvzgTIYQQQgjxspEdwkKIv50OHTowY8YMunbt+swxHm0ZAQ93iapUKpKSkvDz88PQ0BB/f39Onz6tNW/p0qU4ODigq6uLi4sLX331VbnrXL58mfDwcMzNzbGwsCAsLIyLFy8q54uKioiOjsbW1hY9PT28vb3ZsWOHcj4oKEgpaha7efMmurq6JCUlVfh6P/zwQzIyMjhw4AB9+/bF09OTevXqERwczPr16xk0aJDWeENDQ6ytrWnQoAHTpk3DycmJxMTECq+3YcOGEi0amjRpwrx584iIiEBPT6/Uefv27SMsLIxOnTphb2/Pm2++SXBwMAcOHChzrX79+rFw4UJatWpFgwYNeOedd+jbty+bN2/WGhcaGkpiYiJ3794FHu4S79y5MwkJCZw4cYKgoCDgYdsPIYQQQgghhBDiVSUFYSGEeAoTJ05k/vz5pKamoqOjQ79+/ZRzCQkJDBs2jFGjRpGens6AAQPo27cvP//8c6mxCgsLCQkJwcTEhOTkZFJSUjA2NqZ9+/YUFBQAsHDhQubPn09MTAzHjh0jJCSEzp07c/bsWQCioqKIi4vj3r17StzY2Fjq1KmjFDCfpKioiPj4eN555x1sbGxKHfOkIqiBgYGSc0Xs3bsXPz+/Co8v5u/vT1JSEmfOnAEetoPYu3cvHTp0UMZMmzYNe3v7cuNkZ2djYWGhdczPz4/79+/z66+/AtCpUyd++OEHfvzxR7Zv385nn33GqFGj0NGRP64RQgghhBBCCPHqkoKwEEI8hZkzZ9KqVSvc3NwYP348+/btIz8/H4CYmBgiIyMZNGgQzs7OjBw5km7duhETE1NqrPj4eIqKili5ciUeHh64urqiVqvJyMhg9+7dSsxx48YRERGBi4sLc+fOxdvbW+mvW9zSYOvWrUrc1atXExkZWeGdrDdv3iQrKwsXFxet440bN8bY2BhjY+MyW0E8ePCA2NhYjh07VuECdFZWFtnZ2WUWn8szfvx4IiIiaNiwIdWqVcPHx4fhw4fTs2dPZUyNGjVwcHAoM8a+ffuIj4/nvffe0zpuaGiImZkZly5dAmDHjh20b9+e4OBgOnbsyNChQ1m4cCEPHjwoNe69e/fIycnRegkhhBBCCCGEEC8bKQgLIf5xZs2apRQ6jY2NycjIqPBcT09P5evatWsDcOPGDQBOnTql1RMXICAggFOnTpUa6+jRo5w7dw4TExMlFwsLC/Lz8zl//jw5OTlcvXq13Jj6+vr06tWLL7/8EoDDhw+Tnp5OZGRkqWsOHDhQ69rLk5CQQFpaGiEhIUobhWJLlizB2NgYAwMD+vfvz4gRI3j//ffLjVesOJa+vn6Fxj/q66+/Zt26dcTFxXH48GHWrFlDTEwMa9asUcYMGTKkzHYZ6enphIWFMXXqVIKDg0ucNzAwIC8vD4ALFy6wdetWunbtiru7O0lJSRQWFlJUVFRq7NmzZ2NmZqa86tat+9TXJ4QQQgghhBBCvGjyd69CiH+cgQMHEh4errx/mp2qjz5MrHgHblkFwifJzc2lcePGrFu3rsS5mjVrVjhOVFQU3t7e/P7776jVaoKCgqhXr16pY6Ojoxk9enSJtczNzUv0Q7azswPAxMSErKwsrXM9e/Zk4sSJGBgYULt2bapUqfjvFy0tLVGpVNy6davCc4qNGTNG2SUM4OHhwaVLl5g9ezZ9+vQpd+7Jkydp06YN7733HpMmTSp1TGZmpnLviwvcJ0+eBB4+eO7xe/eoCRMmMHLkSOV9Tk6OFIWFEEIIIYQQQrx0pCAshPjHsbCwKNE/9nlwdXUlJSVFqzCZkpKCm5tbqeN9fX2Jj4/HysoKU1PTUsfY2NiQkpJCq1attGI2bdpUee/h4YGfnx8rVqwgLi6OxYsXl5mjlZUVVlZWWseqVKlCeHg4sbGxTJkypUIFcjMzMxwdHZ84rjS6urq4ublx8uTJUnfplicvL69E8blq1apPLMoXPxSuT58+zJw5s9Qx58+fJz8/Hx8fH63jgYGBBAYGPjE3PT29Mh+GJ4QQQgghhBBCvCykICyE+NvJzc3l3LlzyvsLFy6QlpaGhYWFsuv1RRgzZgzh4eH4+PjQtm1btm3bxubNm9m1a1ep43v27Mm8efMICwsjOjoaW1tbLl26xObNmxk7diy2traMGTOGqVOn4uDggLe3N2q1mrS0tBK7iqOiohgyZAhGRkZ07dr1qXOfNWsWu3fvpmnTpkRHR+Pn54eRkRHHjh1j//79NGrU6JnuSVlCQkLYu3cvw4cPV44VFBQou3ELCgq4cuUKaWlpGBsbK8Xn0NBQZs6ciZ2dHe7u7hw5coRPPvlE6+F+ixcvJiEhQWkbkZ6eTlBQECEhIYwcOZLr168DDwvJj+7ETk5OpkGDBuX2HxZCiFfFxTmdKjsFIYQQQgjxkpKCsBDibyc1NZXWrVsr74v/jL9Pnz6sXr36ha3bpUsXFi5cSExMDMOGDaN+/fqo1eoyd5caGhqyZ88exo0bR7du3bh9+zZ16tShTZs2yo7hoUOHkp2dzahRo7hx4wZubm4kJibi5OSkFatHjx4MHz6cHj16PFNvXktLSw4cOMDcuXOZN28eFy5coEqVKjg5OdG9e3etwu3z8O677+Ln50d2djZmZmYAXL16VWt3bkxMDDExMbRq1Up5yN5nn33G5MmTGTRoEDdu3MDGxoYBAwYwZcoUZd6ff/7J+fPnlfcbN27k5s2bxMbGEhsbqxyvV68eFy9eVN6vX7+e/v37P9frFEIIIYQQQgghXjYqjUajqewkhBBC/G8uXryIg4MDBw8exNfXt7LTqZC33noLX19fJkyYUNmpKC0lzpw5oxSo/1c5OTmYmZmRnZ1dZksQIYQQQgghhBDieanoz6EVfwqQEEKIl05hYSHXr19n0qRJNGvW7JUpBgPMmzcPY2Pjyk4DgGvXrrF27drnVgwWQgghhBBCCCFeVrJDWAghXmG7d++mdevWODs7s3HjRjw8PCo7JfH/yQ5hIYQQQgghhBB/JdkhLIQQ5VCpVGzZsgV42G5BpVKRlpb2wtZ4UQIDA9FoNJw+fRoPDw/s7e1ZsGDBC13zeenVqxezZs2q7DQAiIiIYP78+ZWdhhBCCCGEEEII8cJJQVgI8Urbs2cPoaGh2NjYPHMBtm7duly7do1GjRo9/wRfUjk5OUyePBl3d3cMDAywtLSkSZMmfPzxx9y6dUsZFxgYiEqlQqVSoa+vj5ubG0uWLFHOr169Wjn/6OtJD7Y7evQo27dvZ+jQocqxzZs3ExwcjKWlZZkF+uvXr9OrVy+sra0xMjLC19eXTZs2lbvW5s2badeuHTVr1sTU1JTmzZvzww8/aI2ZNGkSM2fOJDs7u8T8adOmKQ+1E0IIIYQQQgghXnU6lZ2AEEL8L+7cuYOXlxf9+vWjW7duzxSjatWqWFtbP+fMXl6ZmZm0aNGCnJwcpk+fTuPGjTEzM+P06dOo1Wri4uIYPHiwMr5///5ER0eTl5fH2rVrGTx4MNWrV6dHjx4AmJqacvr0aa01VCpVuTl89tlnvPXWW1o9hO/cuUOLFi0IDw+nf//+pc7r3bs3WVlZJCYmUqNGDeLi4ggPDyc1NRUfH59S5+zZs4d27doxa9YszM3NUavVhIaG8uuvvypzGjVqhIODA7GxsQwePJjCwkIWLVqkVbC+ceMGCQkJDBgwoNxrE0L8M9iP/66yU3gmF+d0quwUhBBCCCFEJZMdwkKIV1qHDh2YMWMGXbt2feYYj7eM2L17NyqViqSkJPz8/DA0NMTf379E0XPp0qU4ODigq6uLi4sLX331VbnrXL58mfDwcMzNzbGwsCAsLIyLFy8q54uKioiOjsbW1hY9PT28vb3ZsWOHcj4oKIghQ4Zoxbx58ya6urokJSVV+Ho//PBDMjIyOHDgAH379sXT05N69eoRHBzM+vXrGTRokNZ4Q0NDrK2tadCgAdOmTcPJyYnExETlvEqlwtraWutVq1atMtd/8OABGzduJDQ0VOt4r169mDJlCm3bti1z7r59+/jggw9o2rQpDRo0YNKkSZibm3Po0KEy5yxYsICxY8fSpEkTnJycmDVrFk5OTmzbtk1rXGhoKBs2bFCuCR7e8xMnTpCQkEBoaCi2trZlriOEEEIIIYQQQrwKpCAshBBlmDhxIvPnzyc1NRUdHR369eunnEtISGDYsGGMGjWK9PR0BgwYQN++ffn5559LjVVYWEhISAgmJiYkJyeTkpKCsbEx7du3p6CgAICFCxcyf/58YmJiOHbsGCEhIXTu3JmzZ88CEBUVRVxcHPfu3VPixsbGUqdOHYKCgip0TUVFRcTHx/POO+9gY2NT6pgn7e41MDBQcn4Wx44dIzs7Gz8/v6ee6+/vT3x8PJmZmRQVFbFhwwby8/MJDAxUxgQGBhIZGVlmjKKiIm7fvo2FhYXW8aZNm3LgwAHu3buHjo4Oo0aNYtGiRWzfvp0ff/yRH3/8kU6dZGedEEIIIYQQQohXmxSEhRCiDDNnzqRVq1a4ubkxfvx49u3bR35+PgAxMTFERkYyaNAgnJ2dGTlyJN26dSMmJqbUWPHx8RQVFbFy5Uo8PDxwdXVFrVaTkZGh9KeNiYlh3LhxRERE4OLiwty5c/H29lYeElfcEmPr1q1K3NWrVxMZGfnEIm6xmzdvkpWVhYuLi9bxxo0bY2xsjLGxsdIK4nEPHjwgNjaWY8eOaRWgs7OzlbnFrw4dOpSZw6VLl6hatSpWVlYVyvlRX3/9NYWFhVhaWqKnp8eAAQNISEjA0dFRGWNnZ0ft2rXLjBETE0Nubi7h4eFax21sbCgoKOD69es8ePCAhQsXMnToUDp27EhwcDDt27fX2rH9uHv37pGTk6P1EkIIIYQQQgghXjZSEBZC/K3NmjVLq1CZkZFR4bmenp7K18UFxhs3bgBw6tQpAgICtMYHBARw6tSpUmMdPXqUc+fOYWJiouRiYWFBfn4+58+fJycnh6tXr5YbU19fn169evHll18CcPjwYdLT08vcDTtw4ECtay9PQkICaWlphISEcPfuXa1zS5YswdjYGAMDA/r378+IESN4//33lfMmJiakpaVpvVauXFnmWnfv3kVPT6/CRexHTZ48maysLHbt2kVqaiojR44kPDyc48ePK2PWrl3L7NmzS50fFxfHRx99xNdff12iIG1gYABAXl4eRUVFFBYWkpSUhLu7O127dmXLli1aLT4eN3v2bMzMzJRX3bp1n/r6hBBCCCGEEEKIF00eKieE+FsbOHCg1k7QstoklKZatWrK18XFy6KiomfKIzc3l8aNG7Nu3boS52rWrFnhOFFRUXh7e/P777+jVqsJCgqiXr16pY6Njo5m9OjRJdYyNzcv0Q/Zzs4OeFjczcrK0jrXs2dPJk6ciIGBAbVr16ZKFe3fJVapUkVrh+6T1KhRg7y8PAoKCtDV1a3wvPPnz7N48WLS09Nxd3cHwMvLi+TkZD7//HOWLVtW7vwNGzYQFRXFN998U2qf4szMTODhPapWrVqJe1erVi0GDhxYZvwJEyYwcuRI5X1OTo4UhYUQQgghhBBCvHSkICyE+FuzsLAo0Sv2eXB1dSUlJYU+ffoox1JSUnBzcyt1vK+vL/Hx8VhZWWFqalrqGBsbG1JSUmjVqpVWzKZNmyrvPTw88PPzY8WKFcTFxbF48eIyc7SysiqxC7ZKlSqEh4cTGxvLlClTKlQgNzMze6qC75N4e3sDcPLkSeXrisjLywMoUZCuWrXqEwv169evp1+/fmzYsKHMPsDp6enY2tpSo0YNrePTpk2rUH56enro6elVaKwQQgghhBBCCFFZpCAshHil5ebmcu7cOeX9hQsXSEtLw8LCQtn1+iKMGTOG8PBwfHx8aNu2Ldu2bWPz5s3s2rWr1PE9e/Zk3rx5hIWFER0dja2tLZcuXWLz5s2MHTsWW1tbxowZw9SpU3FwcMDb2xu1Wk1aWlqJXcVRUVEMGTIEIyMjunbt+tS5z5o1i927d9O0aVOio6Px8/PDyMiIY8eOsX//fho1avRU8TQaDdevXy9x3MrKqkTxFh7uwPX19WXv3r1aBeHMzEwyMjK4evUqgLKL2draGmtraxo2bIijoyMDBgwgJiYGS0tLtmzZws6dO/n222+VOL1796ZOnTpK24i4uDj69OnDwoULee2115RcDQwMMDMzU+YlJycTHBz8VNcuhPjnujhHHjIphBBCCCFeTdJDWAjxSktNTcXHxwcfHx8ARo4ciY+PD1OmTHmh63bp0oWFCxcSExODu7s7y5cvR61WExgYWOp4Q0ND9uzZg52dHd26dcPV1ZV3332X/Px8Zcfw0KFDGTlyJKNGjcLDw4MdO3aQmJiIk5OTVqwePXqgo6NDjx490NfXf+rcLS0tOXDgAL1792bevHk0bdoUDw8Ppk2bRvfu3VmxYsVTxcvJyaF27dolXsX9lksTFRVVotCdmJiIj4+PsoM3IiICHx8fpRVEtWrV2L59OzVr1iQ0NBRPT0/Wrl3LmjVr6NixoxInIyODa9euKe+/+OIL7t+/z+DBg7XyGzZsmDImPz+fLVu20L9//6e6diGEEEIIIYQQ4lWj0mg0mspOQgghRMVdvHgRBwcHDh48iK+vb2Wn80zu3r2Li4sL8fHxNG/evLLTYenSpSQkJPDjjz8+t5g5OTmYmZmRnZ1dZpsQIYQQQgghhBDieanoz6HSMkIIIV4RhYWF/Pe//2XSpEk0a9bslS0Gw8N2DWvXruXPP/+s7FSAh7uPP/vss8pOQwghhBBCCCGEeOGkICyEEK+IlJQUWrdujbOzMxs3bqzsdP5nZbXXqAxRUVGVnYIQQgghhBBCCPGXkB7CQgjxCJVKxZYtW4CHrRlUKhVpaWkvbI2nERgYiEaj4fTp03h4eDzVXHt7exYsWPDUa1aWXr16MWvWrMpOA3jYy3j+/PmVnYYQQgghhBBCCPFcSEFYCPG3tGfPHkJDQ7GxsXnmAmzdunW5du0ajRo1ev4JvqRycnKYPHky7u7uGBgYYGlpSZMmTfj444+5deuWMi4wMBCVSoVKpUJfXx83NzeWLFmiFaugoICPP/4YLy8vDA0NqVGjBgEBAajVagoLC8vM4ejRo2zfvp2hQ4cqxzZv3kxwcDCWlpZlFumvX79Or169sLa2xsjICF9fXzZt2lTu9W7evJl27dpRs2ZNTE1Nad68OT/88IPWmEmTJjFz5kyys7PLjSWEEEIIIYQQQrwKpGWEEOJv6c6dO3h5edGvXz+6dev2TDGqVq2KtbX1c87s5ZWZmUmLFi3Iyclh+vTpNG7cGDMzM06fPo1arSYuLo7Bgwcr4/v37090dDR5eXmsXbuWwYMHU716dXr06EFBQQEhISEcPXqU6dOnExAQgKmpKb/88gsxMTH4+Pjg7e1dah6fffYZb731FsbGxsqxO3fu0KJFC8LDw+nfv3+p83r37k1WVhaJiYnUqFGDuLg4wsPDSU1NxcfHp9Q5e/bsoV27dsyaNQtzc3PUajWhoaH8+uuvypxGjRrh4OBAbGys1vULIcTLwn78dxUee3FOpxeYiRBCCCGEeBXIDmEhxN9Shw4dmDFjBl27dn3mGI+3jNi9ezcqlYqkpCT8/PwwNDTE39+f06dPa81bunQpDg4O6Orq4uLiwldffVXuOpcvXyY8PBxzc3MsLCwICwvj4sWLyvmioiKio6OxtbVFT08Pb29vduzYoZwPCgpiyJAhWjFv3ryJrq4uSUlJFb7eDz/8kIyMDA4cOEDfvn3x9PSkXr16BAcHs379egYNGqQ13tDQEGtraxo0aMC0adNwcnIiMTERgAULFrBnzx6SkpIYPHgw3t7eNGjQgLfffptff/0VJyenUnN48OABGzduJDQ0VOt4r169mDJlCm3bti0z/3379vHBBx/QtGlTGjRowKRJkzA3N+fQoUNlzlmwYAFjx46lSZMmODk5MWvWLJycnNi2bZvWuNDQUDZs2FDu/RNCCCGEEEIIIV4FUhAWQoinNHHiRObPn09qaio6Ojr069dPOZeQkMCwYcMYNWoU6enpDBgwgL59+/Lzzz+XGquwsJCQkBBMTExITk4mJSUFY2Nj2rdvT0FBAQALFy5k/vz5xMTEcOzYMUJCQujcuTNnz54FHj4QLS4ujnv37ilxY2NjqVOnDkFBQRW6pqKiIuLj43nnnXewsbEpdYxKpSo3hoGBgZLzunXraNu2bak7c6tVq4aRkVGpMY4dO0Z2djZ+fn4VyvtR/v7+xMfHk5mZSVFRERs2bCA/P1/r4XWBgYFERkaWGaOoqIjbt29jYWGhdbxp06YcOHBA6x4/7t69e+Tk5Gi9hBBCCCGEEEKIl40UhIUQ4inNnDmTVq1a4ebmxvjx49m3bx/5+fkAxMTEEBkZyaBBg3B2dmbkyJF069aNmJiYUmPFx8dTVFTEypUr8fDwwNXVFbVaTUZGBrt371Zijhs3joiICFxcXJg7dy7e3t7KQ+KKW2Js3bpVibt69WoiIyOfWMQtdvPmTbKysnBxcdE63rhxY4yNjTE2NqZHjx6lzn3w4AGxsbEcO3ZMKUCfPXuWhg0bVmjtR126dImqVatiZWX11HO//vprCgsLsbS0RE9PjwEDBpCQkICjo6Myxs7Ojtq1a5cZIyYmhtzcXMLDw7WO29jYUFBQwPXr18ucO3v2bMzMzJRX3bp1n/oahBBCCCGEEEKIF00KwkKIf6RZs2YphU5jY2MyMjIqPNfT01P5uri4eOPGDQBOnTpFQECA1viAgABOnTpVaqyjR49y7tw5TExMlFwsLCzIz8/n/Pnz5OTkcPXq1XJj6uvr06tXL7788ksADh8+THp6epk7YQcOHKh17eVJSEggLS2NkJAQ7t69q3VuyZIlGBsbY2BgQP/+/RkxYgTvv/8+ABqNpty4Zbl79y56enoVLmQ/avLkyWRlZbFr1y5SU1MZOXIk4eHhHD9+XBmzdu1aZs+eXer8uLg4PvroI77++usSBWkDAwMA8vLyylx/woQJZGdnK6/Lly8/9TUIIYQQQgghhBAvmjxUTgjxjzRw4ECtXaBltUkoTbVq1ZSviwuXRUVFz5RHbm4ujRs3Zt26dSXO1axZs8JxoqKi8Pb25vfff0etVhMUFES9evVKHRsdHc3o0aNLrGVubl6iH7KdnR0AJiYmZGVlaZ3r2bMnEydOxMDAgNq1a1Olyv/9jtHZ2ZnffvutwvkXq1GjBnl5eRQUFKCrq1vheefPn2fx4sWkp6fj7u4OgJeXF8nJyXz++ecsW7as3PkbNmwgKiqKb775ptQ+xZmZmUD5n4menh56enoVzlkIIYQQQgghhKgMskNYCPGPZGFhgaOjo/LS0Xk+vx9zdXUlJSVF61hKSgpubm6ljvf19eXs2bNYWVlp5ePo6IiZmRmmpqbY2Ng8MaaHhwd+fn6sWLGCuLg4rb7Gj3t8LYAqVaoQHh5ObGwsV69erdC1mpmZ4ejoSJ06dbSKwQBvv/02u3bt4siRIyXmFRYWcufOnVJjent7A3Dy5MkK5VCseOfu43lUrVr1icX69evX07dvX9avX0+nTp1KHZOeno6trS01atR4qryEEEIIIYQQQoiXjewQFkL8LeXm5nLu3Dnl/YULF0hLS8PCwkLZ9foijBkzhvDwcHx8fGjbti3btm1j8+bN7Nq1q9TxPXv2ZN68eYSFhREdHY2trS2XLl1i8+bNjB07FltbW8aMGcPUqVNxcHDA29sbtVpNWlpaiV3FUVFRDBkyBCMjI7p27frUuc+aNYvdu3fTtGlToqOj8fPzw8jIiGPHjrF//34aNWpU4VjDhw/nu+++o02bNkyfPp0WLVpgYmJCamoqc+fOZdWqVUrx91EWgJfEAAEAAElEQVQ1a9bE19eXvXv3ap3PzMwkIyNDKVYX72S2trbG2tqahg0b4ujoyIABA4iJicHS0pItW7awc+dOvv32WyVO7969qVOnjtI2Ii4ujj59+rBw4UJee+01pUewgYEBZmZmyrzk5GSCg4MrfP1CCPFXujin9F9mCSGEEEIIURrZISyE+FtKTU3Fx8cHHx8fAEaOHImPjw9Tpkx5oet26dKFhQsXEhMTg7u7O8uXL0etVhMYGFjqeENDQ/bs2YOdnR3dunXD1dWVd999l/z8fExNTQEYOnQoI0eOZNSoUXh4eLBjxw4SExNxcnLSitWjRw90dHTo0aMH+vr6T527paUlBw4coHfv3sybN4+mTZvi4eHBtGnT6N69OytWrKhwLD09PXbu3MnYsWNZvnw5zZo1o0mTJixatIihQ4eWW1yOiooqUexOTEzEx8dH2cEbERGBj4+P0gqiWrVqbN++nZo1axIaGoqnpydr165lzZo1dOzYUYmTkZHBtWvXlPdffPEF9+/fZ/DgwdSuXVt5DRs2TBmTn5/Pli1b6N+/f4WvXwghhBBCCCGEeFmpNM/65B8hhBAvlYsXL+Lg4MDBgwfx9fWt7HSe2d27d3FxcSE+Pp7mzZtXdjosXbqUhIQEfvzxx6eal5OTg5mZGdnZ2UpxXwghhBBCCCGEeFEq+nOotIwQQohXXGFhIf/973+ZNGkSzZo1e6WLwfCwXcPatWv5888/KzsV4OHu488++6yy0xBCCCGEEEIIIZ4LKQgLIcQrLiUlhdatW+Ps7MzGjRsrO53noqwWG5UhKiqqslMQQgghhBBCCCGeG+khLIT4x1KpVGzZsgV42G5BpVKRlpb2wtZ4UQIDA9FoNJw+fRoPDw/s7e1ZsGDBC13zeXn99deJi4ur7DQAaNasGZs2barsNIQQQgghhBBCiBdKCsJCiFfenj17CA0NxcbG5pkLsHXr1uXatWvlPuzs7yYnJ4fJkyfj7u6OgYEBlpaWNGnShI8//phbt24p4wIDA1GpVKhUKvT19XFzc2PJkiUl4jVs2BA9PT2uX79eofUTExP5448/iIiIUI598cUXBAYGYmpqikqlIisrq8S8M2fOEBYWRo0aNTA1NaVFixb8/PPP5a61YsUKWrZsSfXq1alevTpt27blwIEDWmMmTZrE+PHjKSoqKjE/MjKSixcvVui6hBBCCCGEEEKIl5m0jBBCvPLu3LmDl5cX/fr1o1u3bs8Uo2rVqlhbWz/nzF5emZmZtGjRgpycHKZPn07jxo0xMzPj9OnTqNVq4uLiGDx4sDK+f//+REdHk5eXx9q1axk8eDDVq1enR48eAOzdu5e7d+/y5ptvsmbNGsaNG/fEHBYtWkTfvn2pUuX/fjeZl5dH+/btad++PRMmTCh13htvvIGTkxM//fQTBgYGLFiwgDfeeIPz58+X+Rnu3r2bHj164O/vj76+PnPnziU4OJgTJ05Qp04dADp06EBUVBTff/89nTp1IjMzk/Xr1zNo0CAlzvnz5/nll1/o2bPnk2+yEEK8hOzHf1fZKVSqi3M6VXYKQgghhBCVTnYICyFeeR06dGDGjBl07dr1mWM83jJi9+7dqFQqkpKS8PPzw9DQEH9/f06fPq01b+nSpTg4OKCrq4uLiwtfffVVuetcvnyZ8PBwzM3NsbCwICwsTGvnaVFREdHR0dja2qKnp4e3tzc7duxQzgcFBTFkyBCtmDdv3kRXV5ekpKQKX++HH35IRkYGBw4coG/fvnh6elKvXj2Cg4NLFEEBDA0Nsba2pkGDBkybNg0nJycSExOV86tWreLtt9+mV69efPnll09c/+bNm/z000+EhoZqHR8+fDjjx4+nWbNmpc77888/OXv2LOPHj8fT0xMnJyfmzJlDXl4e6enpZa63bt06Bg0ahLe3Nw0bNmTlypUUFRVp3bOqVavSsWNHNmzYAIC+vj5Xrlyhffv2/P777yxbtozIyEjq16//xOsTQgghhBBCCCFeVlIQFkKIckycOJH58+eTmpqKjo4O/fr1U84lJCQwbNgwRo0aRXp6OgMGDKBv375lti8oLCwkJCQEExMTkpOTSUlJwdjYmPbt21NQUADAwoULmT9/PjExMRw7doyQkBA6d+7M2bNngYcPOIuLi+PevXtK3NjYWOrUqUNQUFCFrqmoqIj4+HjeeecdbGxsSh2jUqnKjWFgYKDkfPv2bb755hveeecd2rVrR3Z2NsnJyeXO37t3L4aGhri6ulYo52KWlpa4uLiwdu1a7ty5w/3791m+fDlWVlY0btxYGWdvb8+0adPKjJOXl0dhYSEWFhZax5s2barkbmhoyKxZsxg2bBi7d+/ml19+4aeffsLf37/UmPfu3SMnJ0frJYQQQgghhBBCvGykICyEEOWYOXMmrVq1ws3NjfHjx7Nv3z7y8/MBiImJITIykkGDBuHs7MzIkSPp1q0bMTExpcaKj4+nqKiIlStX4uHhgaurK2q1moyMDHbv3q3EHDduHBEREbi4uDB37ly8vb2Vh8QVt8TYunWrEnf16tVERkY+sYhb7ObNm2RlZeHi4qJ1vHHjxhgbG2NsbKy0gnjcgwcPiI2N5dixY0oBesOGDTg5OeHu7k7VqlWJiIhg1apV5eZw6dIlatWqpdUuoiJUKhW7du3iyJEjmJiYoK+vzyeffMKOHTuoXr26Ms7BwYEaNWqUGWfcuHHY2NjQtm1breM2NjZcvnyZoqIi8vPzmTJlCgsXLiQwMJBmzZqV2nu42OzZszEzM1NedevWfaprE0IIIYQQQggh/gpSEBZC/O3NmjVLKXQaGxuTkZFR4bmenp7K17Vr1wbgxo0bAJw6dYqAgACt8QEBAZw6darUWEePHuXcuXOYmJgouVhYWJCfn8/58+fJycnh6tWr5cbU19fXastw+PBh0tPTiYyMLHXNgQMHal17eRISEkhLSyMkJIS7d+9qnVuyZAnGxsYYGBjQv39/RowYwfvvvw/Al19+yTvvvKOMfeedd/jmm2+4fft2mWvdvXsXfX39cvMpjUajYfDgwVhZWZGcnMyBAwfo0qULoaGhXLt2TRmXlJRUorVGsTlz5rBhwwYSEhJK5GBgYEBRURH37t0jLy+PWrVqsWPHDmxtbRk4cCBffvklZ86cKTXuhAkTyM7OVl6XL19+6usTQgghhBBCCCFeNHmonBDib2/gwIGEh4cr78tqk1CaatWqKV8X78AtKip6pjxyc3Np3Lgx69atK3GuZs2aFY4TFRWFt7c3v//+O2q1mqCgIOrVq1fq2OjoaEaPHl1iLXNz8xL9kO3s7AAwMTEhKytL61zPnj2ZOHEiBgYG1K5dW9nZe/LkSX755RcOHDig9SC5Bw8esGHDBvr3719qXjVq1ODWrVsVvuZiP/30E99++y23bt3C1NQUeFis3rlzJ2vWrGH8+PHlzo+JiWHOnDns2rVLq9hfLDMzEyMjIwwMDDAwMNB6sB483Hns4OBQamw9PT309PSe+pqEEEIIIYQQQoi/khSEhRB/exYWFiV6xT4Prq6upKSk0KdPH+VYSkoKbm5upY739fUlPj4eKysrpZj5OBsbG1JSUmjVqpVWzKZNmyrvPTw88PPzY8WKFcTFxbF48eIyc7SyssLKykrrWJUqVQgPDyc2NpYpU6ZUqEBuZmaGo6NjieOrVq3i9ddf5/PPP9c6rlarWbVqVZkFYR8fH65fv86tW7e0Wj08SV5ennINj6pSpcoTC/Uff/wxM2fO5IcffsDPz6/UMenp6fj4+JQ4vnr16grnKIQQQgghhBBCvMykICyEeOXl5uZy7tw55f2FCxdIS0vDwsJC2fX6IowZM4bw8HB8fHxo27Yt27ZtY/PmzezatavU8T179mTevHmEhYURHR2Nra0tly5dYvPmzYwdOxZbW1vGjBnD1KlTcXBwwNvbG7VaTVpaWoldxVFRUQwZMgQjIyO6du361LnPmjWL3bt307RpU6Kjo/Hz88PIyIhjx46xf/9+GjVq9MQYhYWFfPXVV0RHR5cYHxUVxSeffMKJEydwd3cvMdfHx4caNWqQkpLCG2+8oRy/fv06169fVz7P48ePY2Jigp2dHRYWFjRv3pzq1avTp08fpkyZgoGBAStWrODChQt06tRJidOmTRu6du2qtI2YO3cuU6ZMIS4uDnt7e65fvw5QopVGcnIywcHBT3EnhRDi1XJxTqcnDxJCCCGEEH9r0kNYCPHKS01NxcfHR9nZOXLkSHx8fJgyZcoLXbdLly4sXLiQmJgY3N3dWb58OWq1msDAwFLHGxoasmfPHuzs7OjWrRuurq68++675OfnKzuGhw4dysiRIxk1ahQeHh7s2LGDxMREnJyctGL16NEDHR0devTo8Uy9eC0tLTlw4AC9e/dm3rx5NG3aFA8PD6ZNm0b37t1ZsWLFE2MkJiby3//+t9SCtKurK66urmU+XK5q1ar07du3RKF72bJl+Pj4KDuLX3/9dXx8fEhMTAQetprYsWMHubm5BAUF4efnx969e9m6dSteXl5KnPPnz/Pnn38q75cuXUpBQQFvvvkmtWvXVl6PPgDwypUr7Nu3j759+z7x2oUQQgghhBBCiFeVSqPRaCo7CSGEEE/n4sWLODg4cPDgQXx9fSs7nWdy/fp13N3dOXz4cJk9kP9K48aN49atW3zxxRfPJV5OTg5mZmZkZ2eX2SJECCGEEEIIIYR4Xir6c6jsEBZCiFdIYWEh169fZ9KkSTRr1uyVLQYDWFtbs2rVKjIyMio7FeBhv+Xp06dXdhpCCCGEEEIIIcQLJTuEhRDiFbJ7925at26Ns7MzGzduxMPDo7JTEmWQHcJCCCGEEEIIIf5KskNYCPGPoFKp2LJlC/CwjYJKpSItLe2FrfFXsbe3Z8GCBSWOBwYGotFoOH36tFYx+EVd+4tQ1rU9qqCgAEdHR/bt2/fXJPWEXOzt7UlNTa3sVIQQQgghhBBCiP+ZFISFEC+FPXv2EBoaio2NzTMXYOvWrcu1a9do1KjR809Q/KWWLVtG/fr18ff3V47NnDkTf39/DA0NMTc3L3XewYMHadOmDebm5lSvXp2QkBCOHj1a7lqzZ8+mSZMmmJiYYGVlRZcuXTh9+rRyXldXl9GjRzNu3Ljncm1CCCGEEEIIIURl0qnsBIQQAuDOnTt4eXnRr18/unXr9kwxqlatirW19XPOTFRUQUEBurq6/3McjUbD4sWLiY6OLhH/rbfeonnz5qxatarEvNzcXNq3b0/nzp1ZsmQJ9+/fZ+rUqYSEhHD58mWqVatW6nr//ve/GTx4ME2aNOH+/ft8+OGHBAcHc/LkSYyMjADo2bMno0aN4sSJE7i7u//P1yjEy8J+/HeVnYL4i12c06myUxBCCCGEEJVMdggLIV4KHTp0YMaMGXTt2vWZYzzeNmH37t2oVCqSkpLw8/PD0NAQf39/rd2fAEuXLsXBwQFdXV1cXFz46quvyl3n8uXLhIeHY25ujoWFBWFhYVy8eFE5X1RURHR0NLa2tujp6eHt7c2OHTuU80FBQQwZMkQr5s2bN9HV1SUpKanUNX/77TdatGiBvr4+bm5u7Nq1q8yd1BqNBkdHR2JiYrSOp6WloVKpOHfuHABZWVkMGDCAWrVqoa+vT6NGjfj222+V8Xv37qVly5YYGBhQt25dhg4dyp07d5Tz9vb2TJ8+nd69e2Nqasp7770HwKZNm3B3d0dPTw97e3vmz59f7v183KFDhzh//jydOmkXLT766CNGjBhRZt/k3377jczMTKKjo3FxccHd3Z2pU6fyxx9/cOnSpTLX27FjB5GRkbi7u+Pl5cXq1avJyMjg0KFDypjq1asTEBDAhg0bnupahBBCCCGEEEKIl40UhIUQf3sTJ05k/vz5pKamoqOjQ79+/ZRzCQkJDBs2jFGjRpGens6AAQPo27cvP//8c6mxCgsLCQkJwcTEhOTkZFJSUjA2NqZ9+/YUFBQAsHDhQubPn09MTAzHjh0jJCSEzp07c/bsWQCioqKIi4vj3r17StzY2Fjq1KlDUFBQiTUfPHhAly5dMDQ05Ndff+WLL75g4sSJZV6vSqWiX79+qNVqreNqtZrXX38dR0dHioqK6NChAykpKcTGxnLy5EnmzJlD1apVATh//jzt27fnX//6F8eOHSM+Pp69e/eWKGTHxMTg5eXFkSNHmDx5MocOHSI8PJyIiAiOHz/OtGnTmDx5MqtXry7nE9KWnJyMs7MzJiYmFZ4D4OLigqWlJatWraKgoIC7d++yatUqXF1dsbe317o/5eWTnZ0NgIWFhdbxpk2bkpycXOa8e/fukZOTo/USQgghhBBCCCFeNlIQFkL87c2cOZNWrVrh5ubG+PHj2bdvH/n5+cDDgmZkZCSDBg3C2dmZkSNH0q1btxK7a4vFx8dTVFTEypUr8fDwwNXVFbVaTUZGBrt371Zijhs3joiICFxcXJg7dy7e3t7Kg9SKW2Js3bpVibt69WoiIyNRqVQl1ty5cyfnz59n7dq1eHl50aJFC2bOnFnuNUdGRnL69GkOHDgAPCxkx8XFKcXwXbt2ceDAATZv3ky7du1o0KABb7zxBh06dAAe9tXt2bMnw4cPx8nJCX9/fxYtWsTatWuVewcPdzuPGjUKBwcHHBwc+OSTT2jTpg2TJ0/G2dmZyMhIhgwZwrx58570MSkuXbqEjY1NhccXMzExYffu3cTGxmJgYICxsTE7duzg+++/R0fn/zokubi4YGZmVmqMoqIihg8fTkBAQIle1DY2NuXuNJ49ezZmZmbKq27duk99DUIIIYQQQgghxIsmBWEhxCth1qxZGBsbK6+MjIwKz/X09FS+rl27NgA3btwA4NSpUwQEBGiNDwgI4NSpU6XGOnr0KOfOncPExETJxcLCgvz8fM6fP09OTg5Xr14tN6a+vj69evXiyy+/BODw4cOkp6cTGRlZ6pqnT5+mbt26Wv2RmzZtWu4129jY0KlTJ2WNbdu2ce/ePd566y3gYfsIW1tbnJ2dy7zO1atXa93zkJAQioqKuHDhgjLOz89Pa15Z9/Ps2bM8ePCg3JyL3b17F319/QqNfXzeu+++S0BAAL/88gspKSk0atSITp06cffuXWXcb7/9VmZrksGDB5Oenl5qawgDAwPy8vLKXH/ChAlkZ2crr8uXLz/1NQghhBBCCCGEEC+aPFROCPFKGDhwIOHh4cr7p9lB+ujDxIp34BYVFT1THrm5uTRu3Jh169aVOFezZs0Kx4mKisLb25vff/8dtVpNUFAQ9erVe6acylujV69efPrpp6jVarp3746hoSHwsLhZntzcXAYMGMDQoUNLnLOzs1O+Ln7o2vNUo0YNjh8//tTz4uLiuHjxIvv376dKlSrKserVq7N161YiIiLKnT9kyBC+/fZb9uzZg62tbYnzmZmZ5X7Genp66OnpPXXeQgghhBBCCCHEX0kKwkKIV4KFhUWJnq7Pg6urKykpKfTp00c5lpKSgpubW6njfX19iY+Px8rKClNT01LH2NjYkJKSQqtWrbRiPrqr18PDAz8/P1asWEFcXByLFy8uM0cXFxcuX77MH3/8Qa1atQA4ePDgE6+tY8eOGBkZsXTpUnbs2MGePXuUc56envz++++cOXOm1F3Cvr6+nDx5EkdHxyeu86ji+/molJQUnJ2dlf7ET+Lj48PSpUvRaDSlttAoS15eHlWqVNGaU/y+vF8AaDQaPvjgAxISEti9ezf169cvdVx6ejo+Pj4VzkcIIYQQQgghhHgZSUFYCPFSyM3N5dy5c8r7CxcukJaWhoWFhdaO1OdtzJgxhIeH4+PjQ9u2bdm2bRubN29m165dpY7v2bMn8+bNIywsjOjoaGxtbbl06RKbN29m7Nix2NraMmbMGKZOnYqDgwPe3t6o1WrS0tJK7CqOiopiyJAhGBkZldnCAKBdu3Y4ODjQp08fPv74Y27fvs2kSZMAyi2YVq1alcjISCZMmICTkxPNmzdXzrVq1YrXX3+df/3rX3zyySc4Ojry22+/oVKpaN++PePGjaNZs2YMGTKEqKgojIyMOHnyJDt37iy3eD1q1CiaNGnC9OnT6d69O/v372fx4sUsWbKkzDmPa926Nbm5uZw4cUKrj29GRgaZmZlkZGTw4MED0tLSAHB0dMTY2Jh27doxZswYBg8ezAcffEBRURFz5sxBR0eH1q1bK3EaNmzI7NmzlXs+ePBg4uLi2Lp1KyYmJly/fh0AMzMzrZ3UycnJTJ8+vcLXIcSr4OKcTpWdghBCCCGEEOIvJj2EhRAvhdTUVHx8fJQdmCNHjsTHx4cpU6a80HW7dOnCwoULiYmJwd3dneXLl6NWqwkMDCx1vKGhIXv27MHOzo5u3brh6urKu+++S35+vrJjeOjQoYwcOZJRo0bh4eHBjh07SExMxMnJSStWjx490NHRoUePHuX2zK1atSpbtmwhNzeXJk2aEBUVxcSJEwGe2Gv33XffpaCggL59+5Y4t2nTJpo0aUKPHj1wc3Nj7NixSp9fT09P/v3vf3PmzBlatmypfBZPatXh6+vL119/zYYNG2jUqBFTpkwhOjq6zP7IpbG0tKRr164lCuhTpkzBx8eHqVOnkpubq3y/pKamAg8Lvdu2bePYsWM0b96cli1bcvXqVXbs2KH0joaHPZmzs7OV90uXLiU7O5vAwEBq166tvOLj45Ux+/fvJzs7mzfffLPC1yGEEEIIIYQQQryMVBqNRlPZSQghxD/RxYsXcXBw4ODBg/j6+j7V3JSUFFq0aMG5c+dwcHAoc1xycjJt2rTh8uXLSruJV8GxY8do164d58+fx9jYuLLToXv37nh5efHhhx9WeE5OTg5mZmZkZ2eX2V5ECCGEEEIIIYR4Xir6c6i0jBBCiL9YYWEh//3vf5k0aRLNmjWrUDE4ISEBY2NjnJycOHfuHMOGDSMgIKDMYvC9e/e4efMm06ZN46233nqlisHwcIfy3LlzuXDhAh4eHpWaS0FBAR4eHowYMaJS8xBCCCGEEEIIIZ4HaRkhhBB/sZSUFGrXrs3BgwdZtmxZhebcvn2bwYMH07BhQyIjI2nSpAlbt24tc/z69eupV68eWVlZfPzxx88r9b9UZGRkpReDAXR1dZk0aZJWP2EhhBBCCCGEEOJVJQVhIR6jUqnYsmUL8PBP+lUqlfLwqhexxl/F3t6eBQsWPPe406ZNw9vbW3kfGRlJly5dXugaL4tnvdbAwEA0Gg2nT5+ucMGzd+/enDlzhvz8fH7//XdWr16NpaVlubk9ePCAQ4cOUadOHQBWrVpFcHDwU+f7TxAREcH8+fMrOw0hhBBCCCGEEOKFk4Kw+Nvas2cPoaGh2NjYPHMBtm7duly7do1GjRo9/wRfMhcvXuTdd9+lfv36GBgY4ODgwNSpUykoKHiqOAsXLmT16tUvJslXlEajYcWKFTRv3hxTU1OMjY1xd3dn2LBhnDt3Thk3bdo0VCoVKpUKHR0d7O3tGTFiBLm5uVrxNm3aRGBgIGZmZhgbG+Pp6Ul0dDSZmZll5pCfn8/kyZOZOnWqcuzEiRP861//wt7eHpVKVeovDB48eMDkyZO1vi+mT59Oee3njx49So8ePahbty4GBga4urqycOHCUseuWbOGFi1aALB582aCg4OxtLQs8xcx169fp1evXlhbW2NkZISvry+bNm0qMxeAvXv3EhAQgKWlJQYGBjRs2JBPP/1Ua8ykSZOYOXOm1sPmik2bNo3du3eXu4YQQgghhBBCCPGqkB7C4m/rzp07eHl50a9fP7p16/ZMMapWrYq1tfVzzuzl9Ntvv1FUVMTy5ctxdHQkPT2d/v37c+fOHWJiYiocx8zM7AVm+erRaDS8/fbbbNmyhQ8//JBPP/0UGxsbrl69SkJCAjNmzNAqoLu7u7Nr1y7u379PSkoK/fr1Iy8vj+XLlwMwceJE5s6dy4gRI5g1axY2NjacPXuWZcuW8dVXXzFs2LBS89i4cSOmpqYEBAQox/Ly8mjQoAFvvfVWmf1x586dy9KlS1mzZg3u7u6kpqbSt29fzMzMGDp0aKlzDh06hJWVFbGxsdStW5d9+/bx3nvvUbVqVYYMGaI1duvWrXTu3Bl4+G+2RYsWhIeH079//1Jj9+7dm6ysLBITE6lRowZxcXGEh4eTmpqKj49PqXOMjIwYMmQInp6eGBkZsXfvXgYMGICRkRHvvfceAI0aNcLBwYHY2FgGDx5MYWEhixYt0rrGGzdukJCQwIABA0pdRwjxz2I//rvKTuGZXJzTqbJTEEIIIYQQlUx2CIu/rQ4dOjBjxgy6du36zDEebxmxe/duVCoVSUlJ+Pn5YWhoiL+/P6dPn9aat3TpUhwcHNDV1cXFxYWvvvqq3HUuX75MeHg45ubmWFhYEBYWxsWLF5XzRUVFREdHY2tri56eHt7e3uzYsUM5HxQUVKLQdvPmTXR1dUlKSqrQtbZv3x61Wk1wcDANGjSgc+fOjB49ms2bN1dofrHH2ygEBgYydOhQxo4di4WFBdbW1kybNk1rTkZGBmFhYRgbG2Nqakp4eDh//PFHueusXLkSV1dX9PX1adiwIUuWLFHOFX9umzdvpnXr1hgaGuLl5cX+/fu1YmzatAl3d3f09PSwt7fXahkQHR1d6s5wb29vJk+eXOH7ER8fz4YNG4iPj2fy5Mk0a9YMOzs7mjVrxty5c1Gr1VrjdXR0sLa2xtbWlu7du9OzZ08SExMBOHDgALNmzWL+/PnMmzcPf39/7O3tadeuHZs2baJPnz5l5rFhwwZCQ0O1jjVp0oR58+YRERGBnp5eqfP27dtHWFgYnTp1wt7enjfffJPg4GAOHDhQ5lr9+vVj4cKFtGrVigYNGvDOO+/Qt2/fEt9L+fn5/Pjjj0pBuFevXkyZMoW2bduWGXvfvn188MEHNG3alAYNGjBp0iTMzc05dOhQmXN8fHzo0aMH7u7u2Nvb88477xASEkJycrLWuNDQUDZs2AA8bOsCD/9tnThxgoSEBEJDQ7G1tS1zHSGEEEIIIYQQ4lUgBWEhnsHEiROZP38+qamp6Ojo0K9fP+VcQkICw4YNY9SoUaSnpzNgwAD69u3Lzz//XGqswsJCQkJCMDExITk5mZSUFIyNjWnfvr3SrmHhwoXMnz+fmJgYjh07RkhICJ07d+bs2bMAREVFERcXx71795S4sbGx1KlTh6CgoGe+zuzsbCwsLJ55frE1a9ZgZGTEr7/+yscff0x0dDQ7d+4EHha7w8LCyMzM5N///jc7d+7kP//5D927dy8z3rp165gyZQozZ87k1KlTzJo1i8mTJ7NmzRqtcRMnTmT06NGkpaXh7OxMjx49uH//PvBwF2t4eDgREREcP36cadOmMXnyZGW3br9+/Th16hQHDx5U4h05coRjx47Rt2/fCl/7+vXrcXFxUYqejysuPJbFwMBA+T5Yt24dxsbGDBo0qNSx5ubmZcbZu3cvfn5+FUv6Ef7+/iQlJXHmzBngYTuIvXv30qFDB2XMtGnTsLe3LzdOad9LSUlJ1KlTh4YNGz5VPvHx8WRmZlJUVMSGDRvIz88nMDBQGRMYGEhkZGSZMY4cOcK+ffto1aqV1vGmTZty4MAB7t27h46ODqNGjWLRokVs376dH3/8kR9//JFOncreWXfv3j1ycnK0XkIIIYQQQgghxMtGCsJCPIOZM2fSqlUr3NzcGD9+PPv27SM/Px+AmJgYIiMjGTRoEM7OzowcOZJu3bqV2XYhPj6eoqIiVq5ciYeHB66urqjVajIyMpS+pTExMYwbN46IiAhcXFyYO3cu3t7eSs/X4pYYW7duVeKuXr2ayMjIJxYcy3Lu3Dk+++yz5/Ln8Z6enkydOhUnJyd69+6Nn5+fsnM5KSmJ48ePExcXR+PGjXnttddYu3Yt//73v7WKsY+aOnUq8+fPp1u3btSvX59u3boxYsQIpa1CsdGjR9OpUyecnZ356KOPuHTpktKz95NPPqFNmzZMnjwZZ2dnIiMjGTJkCPPmzQPA1taWkJAQrR28arVa2fVaUWfOnMHFxUXr2PDhwzE2NsbY2LjcHaeHDh0iLi5OKeqfPXuWBg0aUK1atQqvD5CVlUV2djY2NjZPNQ9g/PjxRERE0LBhQ6pVq4aPjw/Dhw+nZ8+eypgaNWrg4OBQZox9+/YRHx+vtGco9mi7iIr6+uuvKSwsxNLSEj09PQYMGEBCQgKOjo7KGDs7O2rXrl1ibvEOez8/PwYPHkxUVJTWeRsbGwoKCrh+/ToPHjxg4cKFDB06lI4dOxIcHEz79u21duY/bvbs2ZiZmSmvunXrPtW1CSGEEEIIIYQQfwUpCIt/rFmzZilFOWNjYzIyMio819PTU/m6uPB048YNAE6dOqXVpxUgICCAU6dOlRrr6NGjnDt3DhMTEyUXCwsL8vPzOX/+PDk5OVy9erXcmPr6+vTq1Ysvv/wSgMOHD5Oenl7mLsmBAwdqXfvjrly5Qvv27Xnrrbe0erk+OmfgwIHl3SItj94veHjPHr1fdevW1Sqeubm5YW5uXuo9u3PnDufPn+fdd9/VymfGjBmcP3++zHUr+jmdPXuWBw8eANC/f3/Wr19Pfn4+BQUFxMXFae0Gf1Tx7t3i1+PtCB41ceJE0tLSmDJlSokHxh0/fhxjY2MMDAxo2rQpzZs3Z/HixQDlPsitPHfv3gUefp88ra+//pp169YRFxfH4cOHWbNmDTExMVq7sYcMGVJma5L09HTCwsKYOnUqwcHBynGNRsO2bdueuiA8efJksrKy2LVrF6mpqYwcOZLw8HCOHz+ujFm7di2zZ88uMTc5OZnU1FSWLVvGggULWL9+vdZ5AwMD4GFv5aKiIgoLC0lKSsLd3Z2uXbuyZcsWrVYuj5swYQLZ2dnK6/Lly091bUIIIYQQQgghxF9BHion/rEGDhxIeHi48v5pdk8+ukOzeAduUVHRM+WRm5tL48aNWbduXYlzNWvWrHCcqKgovL29+f3331Gr1QQFBVGvXr1Sx0ZHRzN69OhSz129epXWrVvj7+/PF198oXWuuJcygKmpaYVze3xHq0ql+p/uF8CKFSt47bXXtM5VrVq1zHWf5XMKDQ1FT0+PhIQEdHV1KSws5M033yx1bOfOnbXyqVOnDgBOTk4lekzXrFmTmjVrYmVlVSKOi4sLiYmJ6OjoYGNjg66urnLO2dmZvXv3UlhY+FS7hC0tLVGpVNy6davCc4qNGTNG2SUM4OHhwaVLl5g9e3a5PYsBTp48SZs2bXjvvfeYNGmS1rkDBw5w//59/P39K5zL+fPnWbx4Menp6bi7uwPg5eVFcnIyn3/+OcuWLSt3fv369ZVr+OOPP5g2bRo9evRQzmdmZgIPP59q1aqV+DdSq1atcn8RoqenV2YvZiGEEEIIIYQQ4mUhBWHxj2VhYfFc+uM+ztXVlZSUFK1iWUpKCm5ubqWO9/X1JT4+HisrqzKLrDY2NqSkpGj1PE1JSaFp06bKew8PD/z8/FixYgVxcXHKrtLSWFlZlVqMvHLlCq1bt6Zx48ao1WqqVNH+I4JH/yz/eXF1deXy5ctcvnxZ2SV88uRJsrKySr1ntWrVwsbGhv/85z9abQueZd2UlBStYykpKTg7OyuFZR0dHfr06YNarUZXV5eIiAhlF+njTExMMDExKXG8R48evP3222zdupWwsLAn5qWrq1vmfX777bdZtGgRS5YsYdiwYSXOZ2VlldpHWFdXFzc3N06ePKm1S7ci8vLySnwfVK1a9YmF9RMnThAUFESfPn2YOXNmifNbt26lU6dOJYr4T8oFeKZ8HldUVKTVcxse7ma2tbWlRo0aWscffwiiEEIIIYQQQgjxKpOCsPjbys3NVfrFAly4cIG0tDQsLCyws7N7YeuOGTOG8PBwfHx8aNu2Ldu2bWPz5s3s2rWr1PE9e/Zk3rx5hIWFER0dja2tLZcuXWLz5s2MHTsWW1tbxowZw9SpU3FwcMDb2xu1Wk1aWlqJXcVRUVEMGTIEIyMjunbt+lR5X7lyhcDAQOrVq0dMTAw3b95UzllbWz/9jaigtm3b4uHhQc+ePVmwYAH3799n0KBBtGrVqsyHoH300UcMHToUMzMz2rdvz71790hNTeXWrVuMHDmyQuuOGjWKJk2aMH36dLp3787+/ftZvHgxS5Ys0RoXFRWFq6srQIkCckVERESwefNmIiIimDBhAiEhIdSqVYtLly4RHx//VAXR1157jbFjxzJq1CiuXLlC165dsbGx4dy5cyxbtowWLVqUWigGCAkJYe/evQwfPlw5VlBQwMmTJ5Wvr1y5QlpaGsbGxkpROjQ0lJkzZ2JnZ4e7uztHjhzhk08+0WqdsXjxYhISEpS2Eenp6QQFBRESEsLIkSO5fv068LBwW7zrPTExkejoaK0cMzMzycjI4OrVqwDKzmpra2usra1p2LAhjo6ODBgwgJiYGCwtLdmyZQs7d+7k22+/VeL07t2bOnXqKG0jPv/8c+zs7JSH1+3Zs4eYmBiGDh2qtX5ycvJTF8yFEP9cF+eU/ZBJIYQQQgghXmoaIf6mfv75Zw1Q4tWnT59y5wGahIQEjUaj0Vy4cEEDaI4cOaIV89atW8r4I0eOaADNhQsXlGNLlizRNGjQQFOtWjWNs7OzZu3atWWuodFoNNeuXdP07t1bU6NGDY2enp6mQYMGmv79+2uys7M1Go1G8+DBA820adM0derU0VSrVk3j5eWl+f7770vkfvv2bY2hoaFm0KBBJc7Vq1dP8+mnn5Z53Wq1utT79aT/TEydOlXj5eWlvO/Tp48mLCxMed+qVSvNsGHDtOaEhYVpfQ6XLl3SdO7cWWNkZKQxMTHRvPXWW5rr16+XuYZGo9GsW7dO4+3trdHV1dVUr15d8/rrr2s2b96s0WhKfm4ajUZz69YtDaD5+eeflWMbN27UuLm5aapVq6axs7PTzJs3r9RrbNmypcbd3b3E8cevtSwPHjzQLFu2TPPaa69pjIyMNLq6uspnfPLkyXKvszTx8fGa119/XWNiYqIxMjLSeHp6aqKjo7W+Lx934sQJjYGBgSYrK0s5VnyfHn+1atVKGZOTk6MZNmyYxs7OTqOvr69p0KCBZuLEiZp79+5p5V2vXj2t96XFLR5z7tw5jZ6eniY3N1crx7K+B6dOnaqMOXPmjKZbt24aKysrjaGhocbT07PEv69WrVppfX8tWrRI4+7urjE0NNSYmppqfHx8NEuWLNE8ePBAGXP37l2NmZmZZv/+/eXc+aeTnZ2tAZR/x0IIIYQQQgghxItU0Z9DVRrNMz6lSAjx0rl48SIODg4cPHgQX1/fyk7nb0Gj0eDk5MSgQYMqvPv4ZfXWW2/h6+vLhAkTKjWPTz75hF27drF9+/ZKzeNRS5cuJSEhgR9//PG5xczJycHMzIzs7Oyn6rkthBBCCCGEEEI8i4r+HFqlzDNCiFdGYWEh169fZ9KkSTRr1kyKwc/JzZs3Wbx4MdevX6dv376Vnc7/bN68eRgbG1d2Gtja2lZ6Ufpx1apV47PPPqvsNIQQQgghhBBCiBdOCsLiL6dSqdiyZQvwcEerSqUiLS3tha3xV7G3t2fBggV/6ZrFUlJSqF27NgcPHmTZsmXPLe6Trqkin9/u3btRqVRkZWU9t7yeh9WrV5f6ALZHWVlZER0dzRdffEH16tX/msTKcPr0aaytrbl9+/Yzx7C3t+eDDz54jlk9m/DwcFq2bFnZaWjp0qULLVu25Pfff6/sVIQQQgghhBBCiBdKCsLime3Zs4fQ0FBsbGyeuQBbt25drl27RqNGjZ5/gi+Zixcv8u6771K/fn0MDAxwcHBg6tSpFBQU/M+xAwMD0Wg0nD59Gg8Pj+eQbcX83T8/jUbDzZs3qV27Nm+88QY1a9ZEX18fBwcHunfvzp49e5SxxYXv4letWrX417/+xX/+8x+tmEeOHOGtt96iVq1a6Ovr4+TkRP/+/Tlz5ky5uUyYMIEPPvgAExMTAPLz84mMjMTDwwMdHR26dOlS6rx169bh5eWFoaEhtWvXpl+/fvz3v/8tc53MzEw++OADXFxcMDAwwM7OjqFDh5KdnV1i7KVLlzAwMCA3N5cVK1bQsmVLqlevTvXq1Wnbti0HDhwocT+nTJlC7dq1MTAwoG3btpw9e7bc635USkoKOjo6eHt7V3jOo/bv309QUBBGRkaYmpry+uuvc/fuXQBq1KhB7969mTp1aqlzAwMDn2lNIYQQQgghhBDiZaNT2QmIV9edO3fw8vKiX79+dOvW7ZliVK1aFWtr6+ec2cvpt99+o6ioiOXLl+Po6Eh6ejr9+/fnzp07xMTEPNe1CgoK0NXVfa4xS/NP+PyWLFnCkCFD6NWrF/Hx8Tg4OJCdnc3PP//MiBEjOHTokNb406dPY2JiwtmzZ3nvvfcIDQ3l2LFjVK1alW+//ZZ//etfhISEsG7dOhwcHLhx4wbffPMNkydPJj4+vtQcMjIy+Pbbb7VaGjx48AADAwOGDh3Kpk2bSp2XkpJC7969+fTTTwkNDeXKlSsMHDiQ/v37s3nz5lLnXL16latXrxITE4ObmxuXLl1i4MCBXL16lY0bN2qN3bp1K61bt8bY2Jjdu3fTo0cP/P390dfXZ+7cuQQHB3PixAnq1KkDwMcff8yiRYtYs2YN9evXZ/LkyYSEhHDy5En09fXL/RyysrLo3bs3bdq04Y8//ih3bGn2799P+/btmTBhAp999hk6OjocPXqUKlX+7/eiffv2pXHjxsybNw8LCwtSUlK4e/cubdu2Vcbs2rULQ0ND/P39nzoHIYR4GdiP/66yU3jlXJzTqbJTEEIIIYR4rmSHsHhmHTp0YMaMGXTt2vWZYzzecqB4l2VSUhJ+fn5K4eX06dNa85YuXYqDgwO6urq4uLjw1VdflbvO5cuXCQ8Px9zcHAsLC8LCwrh48aJyvqioiOjoaGxtbdHT08Pb25sdO3Yo54OCghgyZIhWzJs3b6Krq0tSUlKFrrV9+/ao1WqCg4Np0KABnTt3ZvTo0WUW5oqdP3+esLAwatWqhbGxMU2aNGHXrl1aY+zt7Zk+fTq9e/fG1NSU9957D4Bx48bh7OyMoaEhDRo0YPLkyRQWFmrN3bZtG02aNEFfX58aNWqU+Dzz8vLo168fJiYm2NnZ8cUXXyjnSmsZsX37dpydnTEwMKB169Za97nYpk2bcHd3R09PD3t7e+bPn1/iembNmlXmugDHjx8nKCgIAwMDLC0tee+998jNzQUe7l6vVq0a169f15ozfPjwp2pVkJGRwfDhwxk+fDhr1qwhKCiIevXq4enpybBhw0hNTS0xx8rKitq1a/P6668zZcoUTp48yblz58jLy6Nv37507NiRxMRE2rZtS/369XnttdeIiYlh+fLlZebx9ddf4+XlpRRWAYyMjFi6dCn9+/cvsyi/f/9+7O3tGTp0KPXr16dFixYMGDCgxM7dRzVq1IhNmzYRGhqKg4MDQUFBzJw5k23btnH//n2tsVu3bqVz587Aw53IgwYNwtvbm4YNG7Jy5UqKioqUfx8ajYYFCxYwadIkwsLC8PT0ZO3atVy9erVCf10wcOBA3n77bZo3b17iXGBgIEOHDmXs2LFYWFhgbW3NtGnTtMaMGDGCoUOHMn78eNzd3XFxcSE8PBw9PT1ljLu7OzY2NiQkJABgZ2fH8uXLGTRoELdv32bQoEF88cUX1K1b94n5CiGEEEIIIYQQLyspCIuX0sSJE5k/fz6pqano6OjQr18/5VxCQgLDhg1j1KhRpKenM2DAAPr27cvPP/9caqzCwkJCQkIwMTEhOTmZlJQUjI2Nad++vdKuYeHChcyfP5+YmBiOHTtGSEgInTt3Vv6cPSoqiri4OO7du6fEjY2NpU6dOgQFBT3zdWZnZ2NhYVHumNzcXDp27EhSUhJHjhyhffv2hIaGkpGRoTUuJiYGLy8vjhw5wuTJkwEwMTFh9erVnDx5koULF7JixQo+/fRTZc53331H165d6dixI0eOHCEpKYmmTZtqxZ0/fz5+fn4cOXKEQYMG8f7775co0Be7fPky3bp1IzQ0lLS0NKKiohg/frzWmEOHDhEeHk5ERATHjx9n2rRpTJ48mdWrV1d43Tt37hASEkL16tU5ePAg33zzDbt27VKK9q+//joNGjTQ+kVBYWEh69at0/peepJNmzZRWFjI2LFjSz2vUqnKnW9gYAA83LH9ww8/8Oeff5YZq7x+xsnJyfj5+VUs6Uc0b96cy5cvs337djQaDX/88QcbN26kY8eOypjiX8KUVrgvVvx0Uh2d//ujkqysLPbu3asUhB+Xl5dHYWGh8v194cIFrl+/rrXb1szMjNdee439+/crxwIDA4mMjNSKpVar+c9//lNmOweANWvWYGRkxK+//srHH39MdHQ0O3fuBODGjRv8+uuvWFlZ4e/vT61atWjVqhV79+4tEadp06YkJycDD1uifPPNN5iZmXH48GHMzc35+uuvpSAshBBCCCGEEOKVJgVh8VKaOXMmrVq1ws3NjfHjx7Nv3z7y8/OBh4XPyMhIBg0ahLOzMyNHjqRbt25ltl2Ij4+nqKiIlStX4uHhgaurK2q1moyMDHbv3q3EHDduHBEREbi4uDB37ly8vb2VB6oVt8TYunWrEnf16tVERkY+sShYlnPnzvHZZ58xYMCAcsd5eXkxYMAAGjVqhJOTE9OnT8fBwYHExEStcUFBQYwaNQoHBwccHBwAmDRpEv7+/tjb2xMaGsro0aP5+uuvlTkzZ84kIiKCjz76CFdXV7y8vJgwYYJW3I4dOzJo0CAcHR0ZN24cNWrUKLP4Xrxze/78+bi4uNCzZ88Sxb1PPvmENm3aMHnyZJydnYmMjGTIkCHMmzevwuvGxcWRn5/P2rVradSoEUFBQSxevJivvvpKaSfw7rvvolarlXjbtm0jPz+f8PDwcu/3o86cOYOpqanWDtxNmzZhbGysvI4fP17q3GvXrhETE0OdOnVwcXFRfrnQsGHDCq9f7NKlS9jY2Dz1vICAANatW0f37t3R1dXF2toaMzMzPv/8c2WMoaEhLi4uVKtWrdQYf/75J9OnT1d2nRfbvn07np6eZeY1btw4bGxslAJw8W7tWrVqaY2rVauW1k5uOzs7ateurbw/e/Ys48ePJzY2Vqsg/ThPT0+mTp2Kk5MTvXv3xs/PT9mdXNzHedq0afTv358dO3bg6+tLmzZtSvQwtrGx4dKlSwBcuXKFiIgIsrKy8PX15datW0RERHDlypVSc7h37x45OTlaLyGEEEIIIYQQ4mUjBWHxwsyaNUurcPb4jtbyeHp6Kl8XF4du3LgBwKlTpwgICNAaHxAQwKlTp0qNdfToUc6dO4eJiYmSi4WFBfn5+Zw/f56cnByuXr1abkx9fX169erFl19+CcDhw4dJT08vUewsNnDgQK1rf9yVK1do3749b731Fv3791eOPzpn4MCBwMMdwqNHj8bV1RVzc3OMjY05depUiftZ2g7S+Ph4AgICsLa2xtjYmEmTJmnNS0tLo02bNqVeQ7FHPwuVSoW1tbXyWTzu1KlTvPbaa1rHHv8T/7I+v7Nnz/LgwYMKrXvq1Cm8vLwwMjLSilFUVKTsIo6MjOTcuXP88ssvwMMCfnh4uNacYhkZGVr3ftasWVprPyokJIS0tDS+++477ty5o5UzgK2tLUZGRtjY2HDnzh02bdqErq4uGo2m1HtWEXfv3n1ij93SnDx5kmHDhjFlyhQOHTrEjh07uHjxovK9BQ93xP72229a7SiK5eTk0KlTJ9zc3Eq0YHi0XcTj5syZw4YNG0hISHjqvNeuXcvs2bOBh32S3377bT766COcnZ3Lnffo9ws8/O9G8fdLUVERgPLXBD4+Pnz66ae4uLgo/6aLGRgYkJeXBzxsiRIVFcXSpUsxMTFh6dKlREVFlbmbevbs2ZiZmSkv2UkshBBCCCGEEOJlJA+VEy/MwIEDtXZjPs0Ox0d3KxYX5IqLOk8rNzeXxo0bs27duhLnatasWeE4UVFReHt78/vvv6NWq5V+sqWJjo5m9OjRpZ67evUqrVu3xt/fv0Rf3Ed78ZqamgIwevRodu7cSUxMDI6OjhgYGPDmm28q7S6KPV7o3L9/Pz179uSjjz4iJCQEMzMzNmzYoNWvt7ilQXke3zmqUqme+bN4Gv/rulZWVoSGhqJWq6lfvz7ff/+9siP8cTY2Nlr3vrjNgZOTE9nZ2Vy/fl3ZJWxsbIyjo2OZu1WTk5MxNTXFysoKExMT5XhxQfO3334rtQ9ueWrUqMGtW7eeag48LFAGBAQwZswY4GHR1MjIiJYtWzJjxgytnbiPu337Nu3bt8fExISEhAStz6OgoIAdO3bw4YcflpgXExPDnDlz2LVrl1aRtvj+/fHHH1rr/vHHH3h7e5eZQ2pqKkeOHFHagRQVFaHRaNDR0eHHH39UWraU9/1SvJ6bm5vWGFdX1xK/WMnMzFT+u/D4Ly4ArZYXj5swYQIjR45U3ufk5EhRWAghhBBCCCHES0cKwuKFsbCweGJ/3Gfh6upKSkoKffr0UY6lpKSUKPYU8/X1JT4+HisrK6XI+jgbGxtSUlJo1aqVVsxH++l6eHjg5+fHihUriIuLY/HixWXmaGVlhZWVVYnjV65coXXr1jRu3Bi1Wk2VKtqb9B0dHUvMSUlJITIyUnnYW25ubrn9Xovt27ePevXqMXHiROVY8Z/CF/P09CQpKYm+ffs+MV5FuLq6lmhlUbxD99ExKSkpWsdSUlJwdnamatWqFV5n9erV3LlzRymEp6SkUKVKFVxcXJRxUVFR9OjRA1tbWxwcHEot8AHo6OiUeu/ffPNNxo8fz9y5c7V6L5enfv36pfYDDg4OpkaNGnz88cfKQ8selZWVVWYfYR8fH06ePFmh9R+Vl5dXonBdfI/L27Gck5NDSEgIenp6JCYmltjlu3v3bqpXr46Xl5fW8Y8//piZM2fyww8/lNixXr9+faytrUlKSlIKwDk5Ofz666+8//77peZhampaoiXHkiVL+Omnn9i4cSP169cv++IfYW9vj42NTYne12fOnKFDhw5ax9LT0wkMDCwRo6xfJjxKT09P6yF1QgghhBBCCCHEy0gKwuKZ5ebmcu7cOeX9hQsXSEtLw8LCAjs7uxe27pgxYwgPD8fHx4e2bduybds2Nm/ezK5du0od37NnT+bNm0dYWBjR0dHY2tpy6dIlNm/ezNixY7G1tWXMmDFMnToVBwcHvL29UavVpKWlldhVHBUVxZAhQzAyMlIKtBV15coVAgMDqVevHjExMdy8eVM592iP2sc5OTmxefNmQkNDUalUTJ48uUI7ZZ2cnMjIyGDDhg00adKE7777rkQhcurUqbRp0wYHBwciIiK4f/8+27dvZ9y4cU91bcUGDhzI/PnzGTNmDFFRURw6dKjEw+JGjRpFkyZNmD59Ot27d2f//v0sXryYJUuWVHidnj17MnXqVPr06cO0adO4efMmH3zwAb169dLqURsSEoKpqSkzZswgOjr6qa/Hzs6O+fPnM2zYMDIzM4mMjKR+/fpkZmYSGxsLUOEitpGREStXruStt96ic+fODB06FEdHR/7880++/vpr5bMqTUhICFFRUTx48EBrvZMnT1JQUEBmZia3b99WdjkXF1xDQ0Pp378/S5cuJSQkhGvXrjF8+HCaNm2q7Ng/cOAAvXv3JikpiTp16pCTk0NwcDB5eXnExsZq9cKtWbMmVatWJTExsUS7iLlz5zJlyhTi4uKwt7dX+gIXt+FQqVQMHz6cGTNm4OTkRP369Zk8eTI2NjZ06dJFidO7d2/q1KnD7NmzqVKlCo0aNdJax8rKCn19/RLHy6NSqZR/415eXnh7e7NmzRp+++03Nm7cqIzLy8vj0KFDWi1DhBDi7+binE6VnYIQQgghhKhsGiGe0c8//6wBSrz69OlT7jxAk5CQoNFoNJoLFy5oAM2RI0e0Yt66dUsZf+TIEQ2guXDhgnJsyZIlmgYNGmiqVaumcXZ21qxdu7bMNTQajebatWua3r17a2rUqKHR09PTNGjQQNO/f39Ndna2RqPRaB48eKCZNm2apk6dOppq1appvLy8NN9//32J3G/fvq0xNDTUDBo0qMS5evXqaT799NMyr1utVpd6v570z/DChQua1q1bawwMDDR169bVLF68WNOqVSvNsGHDnrj2mDFjNJaWlhpjY2NN9+7dNZ9++qnGzMxMa8ymTZs03t7eGl1dXU2NGjU03bp1Kzeul5eXZurUqUpuj35+Go1Gs23bNo2jo6NGT09P07JlS82XX35Z4jPduHGjxs3NTVOtWjWNnZ2dZt68eVprPGldjUajOXbsmKZ169YafX19jYWFhaZ///6a27dvl7gHkydP1lStWlVz9epVreNqtbrEvSjLzp07NR06dNBYWFhodHR0NLVq1dJ06dJFs2PHDmVMad+7pTl48KCmW7dumpo1a2r09PQ0jo6Omvfee09z9uzZMucUFhZqbGxstNbTaB7epyd9Py1atEjj5uamMTAw0NSuXVvTs2dPze+//14i7+J/X2X9u350TN26dTU7d+6sUC6PfmZFRUWayZMna2rVqqXR09PTtGnTRnP69GmtOK1atSr3vyFTp07VeHl5lZjz6L8HjUajCQsLKxFn9uzZGltbW42hoaGmefPmmuTkZK3zcXFxGhcXlzLXflrZ2dkaQPnvjBBCCCGEEEII8SJV9OdQlUbzPzzpSIh/mIsXL+Lg4MDBgwfx9fWt7HREBbz77rvcvHmzRCuLV83nn39OYmIiP/zwQ6XmcfjwYYKCgrh582aJvr2vumbNmjF06FDefvvt5xIvJycHMzMzsrOzy2xXI4QQQgghhBBCPC8V/TlUWkYIUQGFhYX897//ZdKkSTRr1kyKwa+A7Oxsjh8/Tlxc3CtfDAYYMGAAWVlZ3L59W+thdX+1+/fv89lnn/3tisF//vkn3bp1o0ePHpWdihBCCCGEEEII8ULJDmEhKmD37t20bt0aZ2dnNm7ciIeHR2WnJJ4gMDCQAwcOMGDAgAo/EE6I50l2CAshhBBCCCGE+CtV9OfQKn9hTkK8sgIDA9FoNJw+fVqKwa+A4geY5eXlMWzYMFQqlfLAtee5xpYtW55rzP/VxYsXX8i1vigFBQU4Ojqyb9++yk6FgoIC7O3tSU1NrexUhBBCCCGEEEKIF0oKwkKIl9aePXsIDQ3FxsbmmQuwdevW5dq1azRq1Oj5J/gKO3fuHP369cPOzg49PT3q1KlDmzZtWLduHffv31fGqVQq5WVmZkZAQAA//fSTVqzr16/zwQcf0KBBA/T09Khbty6hoaEkJSWVm8OyZcuoX78+/v7+yrGZM2fi7++PoaEh5ubmpc47ePAgbdq0wdzcnOrVqxMSEsLRo0fLXWvp0qV4enpiamqKqakpzZs35/vvv1fO6+rqMnr0aMaNG1fq/MDAwHLjCyGEEEIIIYQQrwrpISyEeGnduXMHLy8v+vXrR7du3Z4pRtWqVbG2tn7Omb3aDhw4QNu2bXF3d+fzzz+nYcOGAKSmpvL555/TqFEjvLy8lPFqtZr27dvz559/MnHiRN544w3S09Np0KABFy9eJCAgAHNzc+bNm4eHhweFhYX88MMPDB48mN9++63UHDQaDYsXLyY6OlrreEFBAW+99RbNmzdn1apVJebl5ubSvn17OnfuzJIlS7h//z5Tp04lJCSEy5cvl9nb2NbWljlz5uDk5IRGo2HNmjWEhYVx5MgR3N3dAejZsyejRo3ixIkTuLu7c+bMGQ4fPkxERIQS5/Dhw1y9epU33njj6W66EKLS2I//rrJTeKlcnNOpslMQQgghhBCVTHYICyFeWh06dGDGjBl07dr1mWM83kZh9+7dqFQqkpKS8PPzw9DQEH9/f06fPq01b+nSpTg4OKCrq4uLiwtfffVVuetcvnyZ8PBwzM3NsbCwICwsjIsXLyrnIyMj6dKlCzExMdSuXRtLS0sGDx5MYWGhMubWrVv07t2b6tWrY2hoSIcOHTh79izwsDhuamrKxo0btdbdsmULRkZG3L59u0L3Q6PREBkZibOzMykpKYSGhuLk5ISTkxM9evRg7969eHp6as0xNzfH2tqaRo0asXTpUu7evcvOnTsBGDRoECqVigMHDvCvf/0LZ2dn3N3dGTlyJL/88kuZeRw6dIjz58/TqZN2YeKjjz5ixIgRZbZm+e2338jMzCQ6OhoXFxfc3d2ZOnUqf/zxB5cuXSpzvdDQUDp27IiTkxPOzs7MnDkTY2NjrRyrV69OQEAAGzZsAKBGjRr8/PPPhIeHk5WVxZQpU5gwYQINGjQo/yYLIYQQQgghhBAvMSkICyH+kSZOnMj8+fNJTU1FR0eHfv36KecSEhIYNmwYo0aNIj09nQEDBtC3b19+/vnnUmMVFhYSEhKCiYkJycnJpKSkYGxsTPv27SkoKFDG/fzzz5w/f56ff/6ZNWvWsHr1alavXq2cj4yMJDU1lcTERPbv349Go6Fjx44UFhZiZGREREQEarVaa221Ws2bb76JiYlJha47LS2NU6dOMXr0aKpUKf1/ASqVqsz5BgYGwMOdvJmZmezYsYPBgwdjZGRUYmxZLR8AkpOTcXZ2rnDexVxcXLC0tGTVqlUUFBRw9+5dVq1ahaurK/b29lrX8Oi9fdSDBw/YsGEDd+7coXnz5lrnmjZtSnJyMgAWFhYsX76ctm3bcvToUc6fP88PP/yAm5vbU+UshBBCCCGEEEK8TKQgLIT4R5o5cyatWrXCzc2N8ePHs2/fPvLz8wGIiYkhMjKSQYMG4ezszMiRI+nWrRsxMTGlxoqPj6eoqIiVK1fi4eGBq6srarWajIwMdu/erYyrXr06ixcvpmHDhrzxxht06tRJ6bN79uxZEhMTWblyJS1btsTLy4t169Zx5coVpXdyVFQUP/zwA9euXQPgxo0bbN++XauY/SRnzpwBHhZWi924cQNjY2PltWTJklLn5uXlMWnSJKpWrUqrVq04d+4cGo1GaTnxNC5duoSNjc1TzzMxMWH37t3ExsZiYGCAsbExO3bs4Pvvv0dH5/+6ILm4uGBmZqY19/jx4xgbG6Onp8fAgQNJSEgoUdy1sbFRdhrfunWLQYMGsWvXLry8vHBwcKBDhw4ldpMXu3fvHjk5OVovIYQQQgghhBDiZSMFYSHEK2vWrFlahcyMjIwKz320LULt2rWBh4VRgFOnThEQEKA1PiAggFOnTpUa6+jRo5w7dw4TExMlFwsLC/Lz8zl//rwyzt3dnapVq2qt++iaOjo6vPbaa8p5S0tLXFxclHWbNm2Ku7s7a9asASA2NpZ69erx+uuvl5qXu7u7kk+HDh3KvBeWlpakpaWRlpaGubm51q5mgB49emBsbIyJiQmbNm1i1apVeHp6otFoyoz5JHfv3kVfX/+Z5r377rsEBATwyy+/kJKSQqNGjejUqRN3795Vxv32228lWo24uLiQlpbGr7/+yvvvv0+fPn04efKk1hgDAwPy8vKAh98PLVu25Ouvv8bc3Jzo6GhmzpypFNUfN3v2bMzMzJRX3bp1n/r6hBBCCCGEEEKIF00eKieEeGUNHDiQ8PBw5f3T7Dh99OFjxS0SioqKnimP3NxcGjduzLp160qcq1mzZqlrFq/7tGtGRUXx+eefM378eNRqNX379i2zxcP27duVHsXFrR6cnJwAOH36ND4+PsDDB+85OjoCaO2yLfbpp5/Stm1bzMzMtK7HyckJlUpV5oPjylOjRg2OHz/+1PPi4uK4ePEi+/fvV1pexMXFUb16dbZu3ar1ALjH6erqKtfZuHFjDh48yMKFC1m+fLkyJjMzU7lGFxcXrZ3UAL6+vvj6+pYaf8KECYwcOVJ5n5OTI0VhIYQQQgghhBAvHdkhLIR4ZVlYWODo6Ki8SitmPgtXV1dSUlK0jqWkpJTZO9bX15ezZ89iZWWllY+jo2OJtgXlrXn//n1+/fVX5dh///tfTp8+rbXuO++8w6VLl1i0aBEnT56kT58+ZcasV6+ekkedOnUA8PHxoWHDhsTExFS4GG1tbY2jo6NWMRge3v+QkBA+//xz7ty5U2JeVlZWmTF9fHz47bffnnqXcV5eHlWqVNEqghe/f9rielFREffu3dM6lp6erhTKH/Vo64+y6OnpYWpqqvUSQgghhBBCCCFeNrJDWAjx0srNzeXcuXPK+wsXLpCWloaFhQV2dnYvbN0xY8YQHh6Oj48Pbdu2Zdu2bWzevJldu3aVOr5nz57MmzePsLAwoqOjsbW15dKlS2zevJmxY8dia2v7xDWdnJwICwujf//+LF++HBMTE8aPH0+dOnUICwtTxlWvXp1u3boxZswYgoODKxT7USqVCrVaTbt27QgICGDChAm4urpSWFjInj17uHnzplZbiyf5/PPPCQgIoGnTpkRHR+Pp6cn9+/fZuXMnS5cuLbPNRuvWrcnNzeXEiRM0atRIOZ6RkUFmZiYZGRk8ePCAtLQ0ABwdHTE2NqZdu3aMGTOGwYMH88EHH1BUVMScOXPQ0dGhdevWSpyGDRsye/ZspW3EhAkT6NChA3Z2dty+fZu4uDh2797NDz/8oJVXcnIy06dPr/D1CyFefhfndKrsFIQQQgghhHipyA5hIcRLKzU1FR8fH2XH5siRI/Hx8WHKlCkvdN0uXbqwcOFCYmJicHd3Z/ny5ajVagIDA0sdb2hoyJ49e7Czs6Nbt264urry7rvvkp+f/1S7RNVqNY0bN+aNN96gefPmaDQatm/fXqLVxLvvvktBQcFTPUzuUc2aNePQoUO4uLgwePBg3Nzc8Pf3Z/369Xz66ae8//77FY7VoEEDDh8+TOvWrRk1ahSNGjWiXbt2JCUlsXTp0jLnWVpa0rVr1xJtNqZMmYKPjw9Tp04lNzdX+fxTU1OBh4Xebdu2cezYMZo3b07Lli25evUqO3bsUHpBw8OWGNnZ2cr7Gzdu0Lt3b1xcXGjTpg0HDx7khx9+oF27dsqY/fv3k52dzZtvvlnh6xdCCCGEEEIIIV41Ks3/8lQgIYQQf7mvvvqKESNGcPXqVXR1dSs7nWd27Ngx2rVrx/nz5zE2Nq7sdOjevTteXl58+OGHzyVeTk4OZmZmZGdnS/sIIYQQQgghhBAvXEV/DpUdwkII8YrIy8vj/PnzzJkzhwEDBrzSxWAAT09P5s6dy4ULFyo7FQoKCvDw8GDEiBGVnYoQQgghhBBCCPFCyQ5hIYR4RUybNo2ZM2fy+uuvs3Xr1pdiV60om+wQFkIIIYQQQgjxV5IdwkKIfxyVSsWWLVsAuHjxIiqVSnko2d/BtGnTKCwsJCkp6ZmKwYGBgQwfPvz5J/aCTJ48mffee6+y0wAe9l3etGlTZachhBBCCCGEEEL8z6QgLIR46ezZs4fQ0FBsbGy0irxPo27duly7do1GjRo9/wT/5goKCpg3bx6+vr4YGRlhZmaGl5cXkyZN4urVq8q4yMhIVCoVKpUKXV1dHB0diY6O5v79+8oYjUbDF198wWuvvYaxsTHm5ub4+fmxYMEC8vLyyszh+vXrLFy4kIkTJyrHZs+eTZMmTTAxMcHKyoouXbpw+vTpUudrNBo6dOhQ4e+fb775hoYNG6Kvr4+Hhwfbt2/XOj9p0iTGjx9PUVHRE2MJIYQQQgghhBAvM53KTkAIIR53584dvLy86NevH926dXumGFWrVsXa2vo5Z1Y5CgsLqVat2l+y1r179wgODubYsWN89NFHBAQEULNmTS5cuMD69ev57LPPmD17tjK+ffv2qNVq7t27x/bt2xk8eDDVqlVjwoQJAPTq1YvNmzczadIkFi9eTM2aNTl69CgLFizA3t6eLl26lJrHypUr8ff3p169esqxf//73wwePJgmTZpw//59PvzwQ4KDgzl58iRGRkZa8xcsWIBKparQNe/bt48ePXowe/Zs3njjDeLi4ujSpQuHDx9WfqHQoUMHoqKi+P777+nUqdPT3FIhhHip2I//rrJTeGlcnCP/PRdCCCHEP5PsEBZCvHQ6dOjAjBkz6Nq16zPHKK1lRGJiIk5OTujr69O6dWvWrFmDSqUiKysLgNWrV2Nubs4PP/yAq6srxsbGtG/fnmvXrikxioqKiI6OxtbWFj09Pby9vdmxY4fW2r///js9evTAwsICIyMj/Pz8+PXXX5XzW7duxdfXF319fRo0aMBHH32ktatWpVKxdOlSOnfujJGRETNnzgRg6dKlODg4oKuri4uLC1999ZUyp1+/frzxxhtaeRQWFmJlZcWqVasqfN8+/fRT9u7dy08//cTQoUNp3LgxdnZ2tGrVimXLljFr1iyt8Xp6elhbW1OvXj3ef/992rZtS2JiIgBff/0169atY/369Xz44Yc0adIEe3t7wsLC+Omnn2jdunWZeWzYsIHQ0FCtYzt27CAyMhJ3d3e8vLxYvXo1GRkZHDp0SGtcWloa8+fP58svv6zQNS9cuJD27dszZswYXF1dmT59Or6+vixevFgZU7VqVTp27MiGDRsqFFMIIYQQQgghhHhZSUFYCPGPcOHCBd588026dOnC0aNHGTBggFY7gmJ5eXnExMTw1VdfsWfPHjIyMhg9erRyfuHChcyfP5+YmBiOHTtGSEgInTt35uzZswDk5ubSqlUrrly5QmJiIkePHmXs2LFKq4Hk5GR69+7NsGHDOHnyJMuXL2f16tVK0bfYtGnT6Nq1K8ePH6dfv34kJCQwbNgwRo0aRXp6OgMGDKBv3778/PPPAERFRbFjxw6t4vW3335LXl4e3bt3r/B9Wr9+Pe3atcPHx6fU80/adWtgYEBBQQEA69atw8XFhbCwsFLjmJmZlRojMzOTkydP4ufnV+5a2dnZAFhYWCjH8vLyePvtt/n888/L3CFub2/PtGnTlPf79++nbdu2WmNCQkLYv3+/1rGmTZuSnJxcbk5CCCGEEEIIIcTLTgrCQoh/hOXLl+Pi4sK8efNwcXEhIiKCyMjIEuMKCwtZtmwZfn5++Pr6MmTIEJKSkpTzMTExjBs3joiICFxcXJg7dy7e3t4sWLAAgLi4OG7evMmWLVto0aIFjo6OhIeH07x5cwA++ugjxo8fT58+fWjQoAHt2rVj+vTpLF++XCuPt99+m759+9KgQQPs7OyIiYkhMjKSQYMG4ezszMiRI+nWrRsxMTEA+Pv7l9g1rFareeutt57qAXRnzpzBxcVF61jXrl0xNjbG2NgYf3//UudpNBp27drFDz/8QFBQEABnz54tEasiMjIy0Gg02NjYlDmmqKiI4cOHExAQoNUnesSIEfj7+5dahC7m4OBAjRo1lPfXr1+nVq1aWmNq1arF9evXtY7Z2Nhw+fLlMvsI37t3j5ycHK2XEEIIIYQQQgjxspGCsBDilTNr1iylQGlsbExGRsYT55w+fZomTZpoHWvatGmJcYaGhjg4OCjva9euzY0bNwDIycnh6tWrBAQEaM0JCAjg1KlTwMN2BT4+Plq7Vh919OhRoqOjtfLv378/165d03rI2uO7Y0+dOlXuuvBwl7BarQbgjz/+4Pvvv6dfv36l5vE093DJkiWkpaXRr1+/Eg+C+/bbbzE2NkZfX58OHTrQvXt3ZfetRqMpM2Z57t69C4C+vn6ZYwYPHkx6erpWC4fExER++uknpThflqSkJIYMGfLUeRkYGFBUVMS9e/dKPT979mzMzMyUV926dZ96DSGEEEIIIYQQ4kWTh8oJIV45AwcOJDw8XHlf3k7Sp/X4w9tUKtVTFTYNDAzKPZ+bm8tHH31U6sPyHi2APv6QtIro3bs348ePZ//+/ezbt4/69evTsmXLUseWdQ+dnJw4ffq01tjatWsDlFrkbt26NUuXLkVXVxcbGxt0dP7vfyvOzs789ttvT30dxbt3b926Rc2aNUucHzJkCN9++y179uzB1tZWOf7TTz9x/vx5zM3Ntcb/61//omXLluzevbvU9aytrfnjjz+0jv3xxx8lWk5kZmZiZGRU5mc8YcIERo4cqbzPycmRorAQQgghhBBCiJeO7BAWQrxyLCwscHR0VF6PFiHL4uLiQmpqqtaxgwcPPtW6pqam2NjYkJKSonU8JSUFNzc3ADw9PUlLSyMzM7PUGL6+vpw+fVor/+JXlSpl/yfZ1dW13HUBLC0t6dKlC2q1mtWrV9O3b98y45V1D3v06MHOnTs5cuRI+Tfj/zMyMsLR0RE7O7sSn8Pbb7/NmTNn2Lp1a4l5Go1G6QH8OAcHB0xNTTl58mSJOUOGDCEhIYGffvqJ+vXra50fP348x44dIy0tTXnBwwflFe+cLk3z5s212oIA7Ny5U2nzUSw9Pb3M3srw8AF7pqamWi8hhBBCCCGEEOJlIzuEhRAvndzcXM6dO6e8v3DhAmlpaVhYWGBnZ/dMMQcMGMAnn3zCuHHjePfdd0lLS2P16tXAkx+U9qgxY8YwdepUHBwc8Pb2Rq1Wk5aWxrp164CHBdVZs2bRpUsXZs+eTe3atTly5Ag2NjY0b96cKVOm8MYbb2BnZ8ebb75JlSpVOHr0KOnp6cyYMaPcdcPDw/Hx8aFt27Zs27aNzZs3s2vXLq1xUVFRvPHGGzx48IA+ffo89X0aMWIE3333HW3atGHq1Km0bNmS6tWrc+bMGb7//nuqVq1a4Vjh4eEkJCTQo0cPJk2aRHBwMDVr1uT48eN8+umnfPDBB3Tp0qXEvCpVqtC2bVv27t2rdX7w4MHExcWxdetWTExMlB6/ZmZmGBgYYG1tXeqD5Ozs7LSKx23atKFr165K24hhw4bRqlUr5s+fT6dOndiwYQOpqal88cUXWnGSk5MJDg6u8PULIcTL6OKcTpWdghBCCCGEqGSyQ1gI8dJJTU3Fx8dH2Y05cuRIfHx8mDJlyjPHrF+/Phs3bmTz5s14enqydOlSJk6cCDzc2VlRQ4cOZeTIkYwaNQoPDw927NhBYmIiTk5OAOjq6vLjjz9iZWVFx44d8fDwYM6cOUohNSQkhG+//ZYff/yRJk2a0KxZMz799FPq1atX7rpdunRh4cKFxMTE4O7uzvLly1Gr1QQGBmqNa9u2LbVr1yYkJOSZWmno6+uTlJTEuHHjUKvVtGjRAldXV+UBblu2bKlwLJVKRVxcHJ988glbtmyhVatWeHp6Mm3aNMLCwggJCSlzblRUFBs2bNB6gNvSpUvJzs4mMDCQ2rVrK6/4+Pinusbz58/z559/Ku/9/f2Ji4vjiy++wMvLi40bN7Jlyxath9VduXKFffv2lbvrWgghhBBCCCGEeBWoNM/61B8hhHjFzZw5k2XLlnH58uXKTuW5yc3NpU6dOqjV6lL7FL8qNBoNr732GiNGjKBHjx6VnQ7jxo3j1q1bJXYNlycnJwczMzOys7OlfYQQQgghhBBCiBeuoj+HSssIIcQ/xpIlS2jSpAmWlpakpKQwb948pW3Aq66oqIg///yT+fPnY25uTufOnSs7pf+JSqXiiy++4Pjx45WdCgBWVlZaD4wTQgghhBBCCCFeVbJDWAjxjzFixAji4+PJzMzEzs6OXr16MWHChAo9lO5ld/HiRerXr4+trS2rV6+mTZs2lZ3SP57sEBZCCCGEEEII8Veq6M+h0kNYCPGP8emnn3L16lXy8/M5c+YMkydPVorBq1evxtzcvNz5kZGRpT4E7VGBgYEMHz78+ST8FOzt7dFoNFy+fLnUYrC9vT0LFiz4y/N6klWrVr00D2qLiIhg/vz5lZ2GEEIIIYQQQgjxQklBWAjxQuzZs4fQ0FBsbGxQqVRP9TCyl9XChQtZvXp1ZafxQuXk5DB58mTc3d0xMDDA0tKSJk2a8PHHH3Pr1i1lXGBgICqVCpVKhb6+Pm5ubixZskQ5X5ECe35+PpMnT2bq1KnKsRUrVtCyZUuqV69O9erVadu2LQcOHNCap9FomDJlCrVr18bAwIC2bdty9uzZCl9jSkoKOjo6eHt7ax2fNGkSM2fOJDs7u8ScadOmsXv37gqvIYQQQgghhBBCvKxe/b+TFkK8lO7cuYOXlxf9+vV7oQ83e/DgASqViipVXvzvt8zMzF74GpUpMzOTFi1akJOTw/Tp02ncuDFmZmacPn0atVpNXFwcgwcPVsb379+f6Oho8vLyWLt2LYMHD6Z69eoVfgjcxo0bMTU1JSAgQDm2e/duevTogb+/P/r6+sydO5fg4GBOnDhBnTp1APj4449ZtGgRa9asoX79+kyePJmQkBBOnjyJvr5+uWtmZWXRu3dv2rRpwx9//KF1rlGjRjg4OBAbG8vgwYMpLCxk0aJFDB06VBlz48YNEhISGDBgQIWuUQjx8rIf/11lp1ApLs7pVNkpCCGEEEKISiY7hIUQL0SHDh2YMWMGXbt2fap5n3zyCR4eHhgZGVG3bl0GDRpEbm6ucr5452liYiJubm7o6emRkZHBwYMHadeuHTVq1MDMzIxWrVpx+PBhrdhZWVkMGDCAWrVqoa+vT6NGjfj222+1xvzwww+4urpibGxM+/btuXbtmnLu8ZYRd+7coXfv3hgbG1O7du1S2w3cunWL3r17U716dQwNDenQoYPWbtbi6ylv3aKiIqKjo7G1tUVPTw9vb2927NihnA8KCirxcLybN2+iq6tLUlJSBe88fPjhh2RkZHDgwAH69u2Lp6cn9erVIzg4mPXr1zNo0CCt8YaGhlhbW9OgQQOmTZuGk5MTiYmJFV5vw4YNhIaGah1bt24dgwYNwtvbm4YNG7Jy5UqKioqU69BoNCxYsIBJkyYRFhaGp6cna9eu5erVqxXahT5w4EDefvttmjdvXur50NBQNmzYADx8sB08vL8nTpwgISGB0NBQbG1tK3yNQgghhBBCCCHEy0YKwkKIl0qVKlVYtGgRJ06cYM2aNfz000+MHTtWa0xeXh5z585l5cqVnDhxAisrK27fvk2fPn3Yu3cvv/zyC05OTnTs2JHbt28DD4uqHTp0ICUlhdjYWE6ePMmcOXOoWrWqVtyYmBi++uor9uzZQ0ZGBqNHjy4z1zFjxvDvf/+brVu38uOPP7J79+4SRejIyEhSU1NJTExk//79aDQaOnbsSGFhYYXXXbhwIfPnzycmJoZjx44REhJC586dlcJyVFQUcXFx3Lt3T5kTGxtLnTp1CAoKqtB9LyoqIj4+nnfeeQcbG5tSxxQXSMtiYGBAQUFBhdYD2Lt3L35+fuWOycvLo7CwEAsLCwAuXLjA9evXadu2rTLGzMyM1157jf379yvHAgMDiYyM1IqlVqv5z3/+o9Wi4nFNmzblwIED3Lt3Dx0dHUaNGsWiRYvYvn07P/74Iz/++COdOpW+u+7evXvk5ORovYQQQgghhBBCiJeNFISFEC+V4cOH07p1a+zt7QkKCmLGjBl8/fXXWmMKCwtZsmQJ/v7+uLi4YGhoSFBQEO+88w4NGzbE1dWVL774gry8PP79738DsGvXLg4cOMDmzZtp164dDRo04I033qBDhw5acZctW4afnx++vr4MGTKkzB22ubm5rFq1ipiYGNq0aYOHhwdr1qzh/v37ypizZ8+SmJjIypUradmyJV5eXqxbt44rV65o7WZ90roxMTGMGzeOiIgIXFxcmDt3Lt7e3spD4opbcmzdulWZs3r1aiIjI59YxC128+ZNsrKycHFx0TreuHFjjI2NMTY2LrMVxIMHD4iNjeXYsWMVLkBnZWWRnZ1dZvG52Lhx47CxsVEKwNevXwegVq1aWuNq1aqlnAOws7Ojdu3ayvuzZ88yfvx4YmNjlQcJlsbGxoaCggKuX7/OgwcPWLhwIUOHDqVjx44EBwfTvn17rd3Zj5o9ezZmZmbKq27duuXfBCGEEEIIIYQQohJIQVgIUSlmzZqlFBqNjY3JyMgAHhZu27RpQ506dTAxMaFXr17897//JS8vT5mrq6uLp6enVrw//viD/v374+TkhJmZGaampuTm5ipx09LSsLW1xdnZucycDA0NcXBwUN7Xrl2bGzdulDr2/PnzFBQU8NprrynHLCwstAqqp06dQkdHR2uMpaUlLi4unDp1qkLr5uTkcPXqVa0+uwABAQFKDH39/8fefYd1Vb+PH3++VfYUZDoAZYiKgOLAkQtFVFwVucFVWuZKTT7ubblwb1GcmaX51dKUxEFuI3PhSKQMNQVBQATh/P7w4vx8yxBcWN2P6zrX5TnnNe7Xeb+vurh5cR99evbsyZo1awA4c+YM586dy7NDNteAAQO0nn1htm/fTkxMDP7+/jx8+FDr3pIlSzA2NsbAwID+/fszbNgwBg4cWOh4uXLHKqzm78yZM9myZQvbt29/bm3gZ0VERDBjxgzgScK6W7duTJo0qdDPH57scoYnO5NzcnLIysoiMjKS6tWr06lTJ3bs2EFcXFy+fUNDQ0lOTlaPP/74o1gxCyGEEEIIIYQQb4K8VE4IUSIGDBhAUFCQem5vb09cXBzt2rVj4MCBTJs2DQsLC44cOULfvn3JzMzE0NAQeJK0e3bna3BwMPfu3WP+/Pk4ODigp6eHr6+vWsIgN9FXGB0dHa1zjUaDoigvu9Q3Mm+/fv3w8vLizz//JDw8nObNm+Pg4JBv28mTJ+cphWFlZYW5uTmxsbFa1ytVqgSAiYkJ9+/f17rXvXt3xowZg4GBAXZ2dsV6sZ+lpSUajYakpKR878+ePZuZM2eyf/9+reS/ra0t8OQXAE/vAL59+zZeXl75jvXgwQNOnTrFL7/8otZazsnJQVEUypQpw48//qjubE5MTASePA8dHZ08z8nGxoYBAwbkO4+enh56enpFWL0QQgghhBBCCFFyZIewEKJEWFhY4OzsrB5lypTh9OnT5OTkMGfOHOrXr4+rqyt//fVXkcaLjo5W/7S/evXq6OnpcffuXfV+zZo1+fPPP7l8+fIrib9KlSro6Ohw/Phx9VpSUpLW+O7u7jx+/Firzb1794iNjaVatWpFmsfU1BR7e3uio6O1rkdHR2uN4eHhgY+PDytXrmTTpk306dOnwDGtra21nj08qd0cFBTEhg0bivzMzczMcHZ2pnz58sVKBsOTXd7VqlXjwoULee59+eWXTJkyhT179uSpMezk5IStra1WSY2UlBSOHz9e4IviTE1N+e2334iJiVGPAQMG4ObmRkxMjNYO7nPnzlGhQgXKlSunNcbEiRNp2rRpsdYohBBCCCGEEEK8jWSHsBDitUhNTeXq1avq+fXr14mJicHCwkLddfosZ2dnsrKyWLhwIYGBgURHR7Ns2bIizefi4sL69evx8fEhJSWFkSNHau0KbtKkCe+88w7vvvsuc+fOxdnZmUuXLqHRaGjdunWx12dsbEzfvn0ZOXIklpaWWFtbM2bMGK3EqIuLCx06dKB///4sX74cExMTRo8eTfny5enQoUOR5xo5ciQTJkygSpUqeHl5ER4eTkxMDBs3btRq169fPwYNGoSRkRGdOnUq9pqmT59OVFQUdevWZfLkyfj4+GBkZMTZs2c5evQoNWrUKPaYhfH39+fIkSMMHTpUvfbFF18wfvx4Nm3ahKOjo1oXOLe8hUajYejQoUydOhUXFxecnJwYN24c9vb2dOzYUR2nV69elC9fnhkzZlCqVKk8sVtbW6Ovr5/n+uHDh2nVqtUrXacQ4u0UNzP/F0QKIYQQQgjxbyc7hIUQr8WpU6fw9vbG29sbgOHDh+Pt7c348eML7OPp6cncuXP54osvqFGjBhs3blTrwD7P6tWrSUpKolatWvTs2ZPBgwdjbW2t1eabb76hTp06dO3alWrVqjFq1Ciys7NfeI2zZs2icePGBAYG4ufnR6NGjahdu7ZWm/DwcGrXrk27du3w9fVFURS+//77PGUiCjN48GCGDx/OZ599hoeHB3v27GHnzp24uLhotevatStlypSha9euxa65C0/KOJw4cYJevXoxa9Ys6tati4eHBxMnTuSDDz5g5cqVxR6zMH379uX7778nOTlZvbZ06VIyMzN57733sLOzU4/Zs2erbUaNGsWnn37Khx9+SJ06dUhNTWXPnj1aa46PjychIaFY8WRkZLBjxw769+//8osTQgghhBBCCCHeUhrlTRTIFEII8drFxcVRpUoVTp48Sa1atUo6nCJ5//33qVWrFqGhoSUdCkuXLmX79u38+OOPr2S8lJQUzMzMSE5OxtTU9JWMKYQQQgghhBBCFKSoP4fKDmEhhPiHy8rK4tatW4wdO5b69ev/Y5LB8GSXtbGxcUmHATx5ud/ChQtLOgwhhBBCCCGEEOK1kh3CQgjxDxcVFUWzZs1wdXVl27ZteHh4lHRIAtkhLIQQQgghhBDizZIdwkKIf521a9dibm5eaJuQkBCtl4vlp2nTplovMntbODo6EhYWVux+TZs2RVEUYmNj31gyuGfPnkyfPv2NzPUm7NmzBy8vL3Jycko6FCGEEEIIIYQQ4rWShLAQ/2GHDh0iMDAQe3t7NBoNO3bsKOmQXtr8+fNZu3ZtSYfxWqWkpDBu3DiqV6+OgYEBlpaW1KlThy+//JKkpCS1XdOmTdFoNGg0GvT19alWrRpLlixR769du1a9//TxvBfS/frrr3z//fcMHjwYeFKy4vPPP8fDwwMjIyPs7e3p1asXf/31l1a/xMREunfvjqmpKebm5vTt25fU1NQir3vmzJloNJoXTuavXbuWmjVroq+vj7W1NZ988ol6r3Xr1ujo6LBx48Y8/eLi4ggJCXmhOYUQQgghhBBCiLdNmZIOQAhRctLS0vD09KRPnz507tz5tc2TnZ2NRqOhVKnX/zsoMzOz1z5HSUpMTKRRo0akpKQwZcoUateujZmZGbGxsYSHh7Np0yatRGf//v2ZPHky6enpRERE8Mknn1C2bFm6du0KgKmpKbGxsVpzaDSaQmNYuHAh77//vlr7Nz09nTNnzjBu3Dg8PT1JSkpiyJAhtG/fnlOnTqn9unfvTkJCAvv27SMrK4vevXvz4YcfsmnTpueu++TJkyxfvpyaNWsW+Vk9be7cucyZM4dZs2ZRr1490tLSiIuL02oTEhLCggUL6NmzJwAbN26kfv36lC5dGgBFUViyZAndunWjbNmyLxSHEOLfwXH07pIO4YXFzWxb0iEIIYQQQogSJjuEhfgPCwgIYOrUqXTq1KlY/ebOnavuBq1YsSIff/yx1k7P3NIOO3fupFq1aujp6REfH8/Jkydp2bIl5cqVw8zMjCZNmnDmzBmtse/fv89HH32EjY0N+vr61KhRg127dmm12bt3L+7u7hgbG9O6dWsSEhLUe8+WjEhLS6NXr14YGxtjZ2fHnDlz8qwnKSmJXr16UbZsWQwNDQkICODKlSt51lPYvDk5OUyePJkKFSqgp6eHl5cXe/bsUe83b96cQYMGac37999/o6urS2RkZBGfPPzvf/8jPj6eEydO0Lt3b2rWrImDgwOtWrVi8+bNfPzxx1rtDQ0NsbW1pXLlykycOBEXFxd27typ3tdoNNja2modNjY2Bc6fnZ3Ntm3bCAwMVK+ZmZmxb98+goKCcHNzo379+ixatIjTp08THx8PwMWLF9mzZw+rVq2iXr16NGrUiIULF7Jly5Y8O4mflZqaSvfu3Vm5cmW+iViNRsOqVavo1KkThoaGedaYlJTE2LFjiYiIoFu3blSpUoWaNWvSvn17rXECAwM5deoU165dA8DJyYng4GCWLVvGn3/+SevWrbl58yZ6enqFxiuEEEIIIYQQQrzNJCEshCi2UqVKsWDBAs6fP8+6dev46aefGDVqlFab9PR0vvjiC1atWsX58+extrbmwYMHBAcHc+TIEY4dO4aLiwtt2rThwYMHwJOkakBAANHR0WzYsIELFy4wc+ZMdYdm7rizZ89m/fr1HDp0iPj4eEaMGFFgrCNHjuTgwYN89913/Pjjj0RFReVJQoeEhHDq1Cl27tzJ0aNHURSFNm3akJWVVeR558+fz5w5c5g9ezZnz57F39+f9u3bq4nlfv36sWnTJh49eqT22bBhA+XLl6d58+ZFeu45OTl89dVX9OjRA3t7+3zbPG93r4GBAZmZmUWaLz9nz54lOTkZHx+fQtslJyej0WjUms9Hjx7F3Nxcq5+fnx+lSpXi+PHjWvE/W/Ljk08+oW3btvj5+RU436RJkwgKCuLs2bO0adOG7t27k5iYCMC+ffvIycnh5s2buLu7U6FCBYKCgvjjjz+0xqhUqRI2NjYcPnwYgAYNGnDgwAGOHj1KVFQUQ4cOZfr06RgaGuYbw6NHj0hJSdE6hBBCCCGEEEKIt40khIUQxTZ06FCaNWuGo6MjzZs3Z+rUqWzdulWrTVZWFkuWLKFBgwa4ublhaGhI8+bN6dGjB1WrVsXd3Z0VK1aQnp7OwYMHAdi/fz8nTpzg22+/pWXLllSuXJl27doREBCgNe6yZcvw8fGhVq1aDBo0qMAdtqmpqaxevZrZs2fTokULPDw8WLduHY8fP1bbXLlyhZ07d7Jq1SoaN26Mp6cnGzdu5ObNm1o1lZ837+zZs/n888/p0qULbm5ufPHFF3h5eakvicstyfHdd9+pfdauXUtISMhzk7i5/v77b+7fv4+bm5vW9dq1a2NsbIyxsbFaCuJZ2dnZbNiwgbNnz2oloJOTk9W+ucfTz/tZN27coHTp0lhbWxfYJiMjg88//5yuXbuqbzW9detWnj5lypTBwsKCW7duqdfc3Ny0yn5s2bKFM2fOMGPGjALngydJ/a5du+Ls7Mz06dNJTU3lxIkTAPz+++/k5OQwffp0wsLC2LZtG4mJibRs2TJPctze3p4bN24AcPz4cVq0aIGvry9NmzYlLCyM8ePHk5GRkW8MM2bMwMzMTD0qVqxYaMxCCCGEEEIIIURJkISwEKJA06dP10oU5v75//79+2nRogXly5fHxMSEnj17cu/ePdLT09W+urq6eeq93r59m/79++Pi4oKZmRmmpqakpqaq48bExFChQgVcXV0LjMnQ0JAqVaqo53Z2dty5cyfftteuXSMzM5N69eqp1ywsLLQSqhcvXqRMmTJabSwtLXFzc+PixYtFmjclJYW//vqLhg0bas3fsGFDdQx9fX169uzJmjVrADhz5gznzp0r8GVlAwYM0Hr2hdm+fTsxMTH4+/vz8OFDrXtLlizB2NgYAwMD+vfvz7Bhwxg4cKB638TEhJiYGK1j1apVBc718OFD9PT0CkxiZ2VlERQUhKIoLF26tNC483Pp0iW1hMkff/zBkCFD2Lhx43NfdPf0d83IyAhTU1P188nJySErK4sFCxbg7+9P/fr12bx5M1euXOHAgQNa4xgYGKjf4ytXrhAeHs6AAQOoUKECe/bswcbGRut7/rTQ0FCSk5PV49kdyEIIIYQQQgghxNtAXionhCjQgAEDCAoKUs/t7e2Ji4ujXbt2DBw4kGnTpmFhYcGRI0fo27cvmZmZ6p/TGxgY5EkaBgcHc+/ePebPn4+DgwN6enr4+vqquzQNDAyeG5OOjo7WuUajQVGUl13qG5m3X79+eHl58eeffxIeHk7z5s1xcHDIt+3kyZPzlMKwsrLC3Nw8z0vgKlWqBDxJ7t6/f1/rXvfu3RkzZgwGBgbY2dnlebFfqVKlcHZ2LvIaypUrR3p6OpmZmejq6mrdy00G37hxg59++kndHQxga2ubJ3H/+PFjEhMTsbW1zXeu06dPc+fOHWrVqqVey87O5tChQyxatIhHjx6p5UTy+3xycnKAJ8l7gGrVqqn3raysKFeunPrLiFyJiYlYWVkB0KNHDwD15XMajUbrhX3P0tPTk/rCQgghhBBCCCHeerJDWAhRIAsLC5ydndWjTJkynD59mpycHObMmUP9+vVxdXV97kvBckVHRzN48GDatGlD9erV0dPT4+7du+r9mjVr8ueff3L58uVXEn+VKlXQ0dHRqlGblJSkNb67uzuPHz/WanPv3j1iY2O1EoiFMTU1xd7enujoaK3r0dHRWmN4eHjg4+PDypUr2bRpE3369ClwTGtra61nD0+St0FBQWzYsKHIz9zMzAxnZ2fKly+fJxn8Iry8vAC4cOGC1vXcZPCVK1fYv38/lpaWWvd9fX25f/8+p0+fVq/99NNP5OTkaO3OflqLFi347bfftHYv+/j40L17d2JiYrRqSxcmd+f204n0xMRE7t69q5WQz8jI4Nq1a3h7e2v1d3R0zFPXWAghhBBCCCGE+KeSHcJC/IelpqZy9epV9fz69evExMRgYWGh7jp9lrOzM1lZWSxcuJDAwECio6NZtmxZkeZzcXFh/fr1+Pj4kJKSwsiRI7V2BTdp0oR33nmHd999l7lz5+Ls7MylS5fQaDS0bt262OszNjamb9++jBw5EktLS6ytrRkzZoxWYtTFxYUOHTrQv39/li9fjomJCaNHj6Z8+fJ06NChyHONHDmSCRMmUKVKFby8vAgPDycmJoaNGzdqtevXrx+DBg3CyMhILY1QHNOnTycqKoq6desyefJkfHx8MDIy4uzZsxw9epQaNWoUazxFUbRq+OaytrbON4FsZWVFrVq1OHLkiJoczsrK4r333uPMmTPs2rWL7OxsdUwLCwt0dXVxd3endevW9O/fn2XLlpGVlcWgQYPo0qWL1gvyqlatyowZM+jUqRMmJiZ51mNkZISlpWWx1unq6kqHDh0YMmQIK1aswNTUlNDQUKpWrUqzZs3UdseOHVN3rQshRGHiZrYt6RCEEEIIIYR4YbJDWIj/sFOnTuHt7a3uiBw+fDje3t6MHz++wD6enp7MnTuXL774gho1arBx48bnvvAr1+rVq0lKSqJWrVr07NmTwYMH53nR2DfffEOdOnXo2rUr1apVY9SoUWRnZ7/wGmfNmkXjxo0JDAzEz8+PRo0aUbt2ba024eHh1K5dm3bt2uHr64uiKHz//fd5yhAUZvDgwQwfPpzPPvsMDw8P9uzZw86dO3FxcdFq17VrV8qUKUPXrl2fWxc3P5aWlpw4cYJevXoxa9Ys6tati4eHBxMnTuSDDz5g5cqVxRovJSUFOzu7PEdBdZnhSVL76UT3zZs32blzJ3/++SdeXl5a4/z8889qu40bN1K1alVatGhBmzZtaNSoEStWrNAaOzY2luTk5GKtoSgiIiKoV68ebdu2pUmTJujo6LBnzx6tz3jz5s10795dLXsihBBCCCGEEEL8G2mUN1F8UwghBPCkHm2VKlU4efKkVm3cf5KHDx/i5ubGV1999a/ZTXv37l3c3Nw4deoUTk5Or2TMlJQUzMzMSE5O1qqnLIQQQgghhBBCvA5F/TlUSkYIIcQbkJWVxb179xg7diz169f/xyaD4cnL/yIiIrTqP//TxcXFsWTJkleWDBZCCCGEEEIIId5WskNYCCHegKioKJo1a4arqyvbtm3Dw8OjpEMSr5nsEBZCCCGEEEII8SYV9edQqSEshPhHWLt2Lebm5oW2CQkJoWPHjoW2adq0KUOHDn1lcRVV06ZNURSF2NjYfJPBjo6OhIWFvfG4XlTPnj2ZPn16SYfxyuzZswcvLy9ycnJKOhQhhBBCCCGEEOK1koSwEP9Rhw4dIjAwEHt7ezQaDTt27CjpkF7a/PnzWbt2bUmH8VqlpKQwbtw4qlevjoGBAZaWltSpU4cvv/ySpKQktV3Tpk3RaDRoNBr09fWpVq0aS5Ys0RorMzOTL7/8Ek9PTwwNDSlXrhwNGzYkPDycrKysAmP49ddf+f777xk8eDDwpBzG559/joeHB0ZGRtjb29OrVy/++usvrX6JiYl0794dU1NTzM3N6du3L6mpqUVe+8yZM9FoNC+c0F+7di01a9ZEX18fa2trPvnkE/Ve69at0dHR0XpZXq64uDhCQkJeaE4hhBBCCCGEEOJtIzWEhfiPSktLw9PTkz59+tC5c+fXNk92djYajYZSpV7/75/MzMxe+xwlKTExkUaNGpGSksKUKVOoXbs2ZmZmxMbGEh4ezqZNm7SSnP3792fy5Mmkp6cTERHBJ598QtmyZenatSuZmZn4+/vz66+/MmXKFBo2bIipqSnHjh1j9uzZeHt74+XllW8cCxcu5P3338fY2BiA9PR0zpw5w7hx4/D09CQpKYkhQ4bQvn17Tp06pfbr3r07CQkJ7Nu3j6ysLHr37s2HH37Ipk2bnrv2kydPsnz5cmrWrPlCz27u3LnMmTOHWbNmUa9ePdLS0oiLi9NqExISwoIFC+jZsycAGzdupH79+pQuXRoARVFYsmQJ3bp1o2zZsi8UhxBCvE6Oo3c/t03czLZvIBIhhBBCCPE2kx3CQvxHBQQEMHXqVDp16lSsfnPnzlV3glasWJGPP/5Ya5dnbmmHnTt3Uq1aNfT09IiPj+fkyZO0bNmScuXKYWZmRpMmTThz5ozW2Pfv3+ejjz7CxsYGfX19atSowa5du7Ta7N27F3d3d4yNjWndujUJCQnqvWdLRqSlpdGrVy+MjY2xs7Njzpw5edaTlJREr169KFu2LIaGhgQEBHDlypU86yls3pycHCZPnkyFChXQ09PDy8uLPXv2qPebN2/OoEGDtOb9+++/0dXVJTIysohPHv73v/8RHx/PiRMn6N27NzVr1sTBwYFWrVqxefNmPv74Y632hoaG2NraUrlyZSZOnIiLiws7d+4EICwsjEOHDhEZGcknn3yCl5cXlStXplu3bhw/fhwXF5d8Y8jOzmbbtm0EBgaq18zMzNi3bx9BQUG4ublRv359Fi1axOnTp4mPjwfg4sWL7Nmzh1WrVlGvXj0aNWrEwoUL2bJlS56dxM9KTU2le/furFy5Mt9ErEajYdWqVXTq1AlDQ0OtdcKTz3js2LFERETQrVs3qlSpQs2aNWnfvr3WOIGBgZw6dYpr164B4OTkRHBwMMuWLePPP/+kdevW3Lx5Ez09vULjFUIIIYQQQggh3maSEBZCFEupUqVYsGAB58+fZ926dfz000+MGjVKq016ejpffPEFq1at4vz581hbW/PgwQOCg4M5cuQIx44dw8XFhTZt2vDgwQPgSVI1ICCA6OhoNmzYwIULF5g5c6a6OzN33NmzZ7N+/XoOHTpEfHw8I0aMKDDWkSNHcvDgQb777jt+/PFHoqKi8iShQ0JCOHXqFDt37uTo0aMoikKbNm20SiY8b9758+czZ84cZs+ezdmzZ/H396d9+/ZqYrlfv35s2rSJR48eqX02bNhA+fLlad68eZGee05ODl999RU9evTA3t4+3zYajabQMQwMDMjMzASe7H718/PD29s7TzsdHR2MjIzyHePs2bMkJyfj4+NT6FzJycloNBq17vPRo0cxNzfX6ufn50epUqU4fvy41hqeLfvxySef0LZtW/z8/Aqcb9KkSQQFBXH27FnatGlD9+7dSUxMBGDfvn3k5ORw8+ZN3N3dqVChAkFBQfzxxx9aY1SqVAkbGxsOHz4MQIMGDThw4ABHjx4lKiqKoUOHMn36dAwNDfON4dGjR6SkpGgdQgghhBBCCCHE20YSwkKIYhk6dCjNmjXD0dGR5s2bM3XqVLZu3arVJisriyVLltCgQQPc3NwwNDSkefPm9OjRg6pVq+Lu7s6KFStIT0/n4MGDAOzfv58TJ07w7bff0rJlSypXrky7du0ICAjQGnfZsmX4+PhQq1YtBg0aVOAO29TUVFavXs3s2bNp0aIFHh4erFu3jsePH6ttrly5ws6dO1m1ahWNGzfG09OTjRs3cvPmTa2ays+bd/bs2Xz++ed06dIFNzc3vvjiC7y8vNSXxOWW5Pjuu+/UPmvXriUkJOS5Sdxcf//9N/fv38fNzU3reu3atTE2NsbY2JiuXbvm2zc7O5sNGzZw9uxZNQF95coVqlatWqS5n3bjxg1Kly6NtbV1gW0yMjL4/PPP6dq1q/pW01u3buXpU6ZMGSwsLLh165Z6zc3NTav0x5YtWzhz5gwzZswoNK6QkBC6du2Ks7Mz06dPJzU1lRMnTgDw+++/k5OTw/Tp0wkLC2Pbtm0kJibSsmVLNUGey97enhs3bgBw/PhxWrRoga+vL02bNiUsLIzx48eTkZGRbwwzZszAzMxMPSpWrFhozEIIIYQQQgghREmQhLAQIl/Tp09XE43Gxsbqn/7v37+fFi1aUL58eUxMTOjZsyf37t0jPT1d7aurq5un1uvt27fp378/Li4umJmZYWpqSmpqqjpuTEwMFSpUwNXVtcCYDA0NqVKlinpuZ2fHnTt38m177do1MjMzqVevnnrNwsJCK6F68eJFypQpo9XG0tISNzc3Ll68WKR5U1JS+Ouvv2jYsKHW/A0bNlTH0NfXp2fPnqxZswaAM2fOcO7cuQJfVDZgwACtZ1+Y7du3ExMTg7+/Pw8fPtS6t2TJEoyNjTEwMKB///4MGzaMgQMHAk/q4b6Ihw8foqenV2AiOysri6CgIBRFYenSpcUe/9KlS2oZkz/++IMhQ4awceNG9PX1C+339PfNyMgIU1NT9TPKyckhKyuLBQsW4O/vT/369dm8eTNXrlzhwIEDWuMYGBio3+UrV64QHh7OgAEDqFChAnv27MHGxkbru/600NBQkpOT1ePZHchCCCGEEEIIIcTbQF4qJ4TI14ABAwgKClLP7e3tiYuLo127dgwcOJBp06ZhYWHBkSNH6Nu3L5mZmeqf0hsYGORJGAYHB3Pv3j3mz5+Pg4MDenp6+Pr6qjs0DQwMnhuTjo6O1rlGo3nhxGZxvIp5+/Xrh5eXF3/++Sfh4eE0b94cBweHfNtOnjw5TykMKysrzM3NiY2N1bpeqVIlAExMTLh//77Wve7duzNmzBgMDAyws7PTerGfq6srly5dKtYaAMqVK0d6ejqZmZno6upq3ctNBt+4cYOffvpJ3R0MYGtrmyd5//jxYxITE7G1tc13rtOnT3Pnzh1q1aqlXsvOzubQoUMsWrSIR48eqSVF8vuMcnJygCcJfIBq1aqp962srChXrpz6C4lciYmJWFlZAdCjRw8A9eVzGo1G66V9z9LT05P6wkIIIYQQQggh3nqyQ1gIkS8LCwucnZ3Vo0yZMpw+fZqcnBzmzJlD/fr1cXV1fe4LwXJFR0czePBg2rRpQ/Xq1dHT0+Pu3bvq/Zo1a/Lnn39y+fLlVxJ/lSpV0NHR0apPm5SUpDW+u7s7jx8/1mpz7949YmNjtZKHhTE1NcXe3p7o6Git69HR0VpjeHh44OPjw8qVK9m0aRN9+vQpcExra2utZw9PajcHBQWxYcOGIj9zMzMznJ2dKV++vFYyGKBbt27s37+fX375JU+/rKws0tLS8h3Ty8sLgAsXLuTpExQUxJUrV9i/fz+WlpZa9319fbl//z6nT59Wr/3000/k5ORo7dB+WosWLfjtt9+IiYlRDx8fH7p3705MTIxWfenC5O7efjqZnpiYyN27d7WS8hkZGVy7di1PXWVHR8c8dY2FEEIIIYQQQoh/KtkhLMR/VGpqKlevXlXPr1+/TkxMDBYWFuqu02c5OzuTlZXFwoULCQwMJDo6mmXLlhVpPhcXF9avX4+Pjw8pKSmMHDlSa1dwkyZNeOedd3j33XeZO3cuzs7OXLp0CY1GQ+vWrYu9PmNjY/r27cvIkSOxtLTE2tqaMWPGaCVGXVxc6NChA/3792f58uWYmJgwevRoypcvT4cOHYo818iRI5kwYQJVqlTBy8uL8PBwYmJi2Lhxo1a7fv36MWjQIIyMjNSyCMUxffp0oqKiqFu3LpMnT8bHxwcjIyPOnj3L0aNHqVGjRpHHGjp0KLt376ZFixZMmTKFRo0aYWJiwqlTp/jiiy9YvXq1mvx9mpWVFbVq1eLIkSPq/aysLN577z3OnDnDrl27yM7OVusCW1hYoKuri7u7O61bt6Z///4sW7aMrKwsBg0aRJcuXbRekle1alVmzJhBp06dMDExybMmIyMjLC0ti7VWV1dXOnTowJAhQ1ixYgWmpqaEhoZStWpVmjVrprY7duyYunNdCCH+ieJmti3pEIQQQgghxD+A7BAW4j/q1KlTeHt7q7shhw8fjre3N+PHjy+wj6enJ3PnzuWLL76gRo0abNy48bkv+8q1evVqkpKSqFWrFj179mTw4MF5XjL2zTffUKdOHbp27Uq1atUYNWoU2dnZL7zGWbNm0bhxYwIDA/Hz86NRo0bUrl1bq014eDi1a9emXbt2+Pr6oigK33//fZ4SBIUZPHgww4cP57PPPsPDw4M9e/awc+dOXFxctNp17dqVMmXK0LVr1+fWxM2PpaUlJ06coFevXsyaNYu6devi4eHBxIkT+eCDD1i5cmWRx9LT02Pfvn2MGjWK5cuXU79+ferUqcOCBQsYPHhwoQnXfv36aSW7b968yc6dO/nzzz/x8vLCzs5OPX7++We13caNG6latSotWrSgTZs2NGrUiBUrVmiNHRsbS3JycjGeStFERERQr1492rZtS5MmTdDR0WHPnj1an/PmzZvp3r27WvpECCGEEEIIIYT4N9Iob6IApxBCCOLi4qhSpQonT57Uqov7T/Pw4UPc3Nz46quv/jW7ae/evYubmxunTp3CycnplYyZkpKCmZkZycnJWvWUhRBCCCGEEEKI16GoP4dKyQghhHjNsrKyuHfvHmPHjqV+/fr/6GQwPHkBYEREhFYN6H+6uLg4lixZ8sqSwUIIIYQQQgghxNtKdggLIcRrFhUVRbNmzXB1dWXbtm14eHiUdEjiDZAdwkIIIYQQQggh3qSi/hwqNYSFEOI1a9q0KYqiEBsb+1Ylg5s2bcrQoUNLfAwhhBBCCCGEEEK8OZIQFkKIF3Do0CECAwOxt7dHo9GwY8cOrfsajSbfY9asWW881qioKDQaDffv33/jcz/tbUwev40xCSGEEEIIIYQQr5PUEBZCiBeQlpaGp6cnffr0oXPnznnuJyQkaJ3/8MMP9O3bl3ffffdNhfiflpWVhY6OTkmHIYQQbx3H0btLOgTxLxA3s21JhyCEEEKIlyA7hIUQ4gUEBAQwdepUOnXqlO99W1tbreO7776jWbNmVK5cucAxc3fy7t27F29vbwwMDGjevDl37tzhhx9+wN3dHVNTU7p160Z6erraLycnhxkzZuDk5ISBgQGenp5s27YNePKytGbNmgFQtmxZNBoNISEhWn1HjRqFhYUFtra2TJw4Ub3Xp08f2rVrpxVjVlYW1tbWrF69Ot81LFmyBBcXF/T19bGxseG9994DICQkhIMHDzJ//nx1t3RcXBwA586dIyAgAGNjY2xsbOjZs6fWC+v27NlDo0aNMDc3x9LSknbt2nHt2jX1flxcHBqNhq+++oomTZqgr6/Pxo0buXfvHl27dqV8+fIYGhri4eHB5s2b1X4vE5MQQgghhBBCCPFPJQlhIYR4zW7fvs3u3bvp27dvkdpPnDiRRYsW8fPPP/PHH38QFBREWFgYmzZtYvfu3fz4448sXLhQbT9jxgwiIiJYtmwZ58+fZ9iwYfTo0YODBw9SsWJFvvnmGwBiY2NJSEhg/vz5at9169ZhZGTE8ePH+fLLL5k8eTL79u0DoF+/fuzZs0drt/OuXbtIT0/ngw8+yBP3qVOnGDx4MJMnTyY2NpY9e/bwzjvvADB//nx8fX3p378/CQkJJCQkULFiRe7fv0/z5s3x9vbm1KlT7Nmzh9u3bxMUFKSOm5aWxvDhwzl16hSRkZGUKlWKTp06kZOTozX/6NGjGTJkCBcvXsTf35+MjAxq167N7t27OXfuHB9++CE9e/bkxIkTLx1Tfh49ekRKSorWIYQQQgghhBBCvG2kZIQQQrxm69atw8TEJN/SEvmZOnUqDRs2BKBv376EhoZy7do1dXfxe++9x4EDB/j888959OgR06dPZ//+/fj6+gJQuXJljhw5wvLly2nSpAkWFhYAWFtbY25urjVXzZo1mTBhAgAuLi4sWrSIyMhIWrZsSYMGDXBzc2P9+vWMGjUKgPDwcN5//32MjY3zxB0fH4+RkRHt2rXDxMQEBwcHvL29ATAzM0NXVxdDQ0NsbW3VPosWLcLb25vp06er19asWUPFihW5fPkyrq6uecpsrFmzBisrKy5cuECNGjXU60OHDs3zjEeMGKH++9NPP2Xv3r1s3bqVunXrvlRM+ZkxYwaTJk3K954QQgghhBBCCPG2kB3CQgjxmq1Zs4bu3bujr6+vXsstR2BsbEz16tW12tesWVP9t42NDYaGhlqlJmxsbLhz5w4AV69eJT09nZYtW6rjGRsbExERoVVWoSBPzwVgZ2enjg1PdgmHh4cDT3Y6//DDD/Tp0yffsVq2bImDgwOVK1emZ8+ebNy4Uau0RX5+/fVXDhw4oBV71apVAdT4r1y5QteuXalcuTKmpqY4OjoCTxLQT/Px8dE6z87OZsqUKXh4eGBhYYGxsTF79+7N0+9FYspPaGgoycnJ6vHHH38UOo8QQgghhBBCCFESZIewEEK8RocPHyY2NpavvvpK6/qqVat4+PAhQJ6Xnz19rtFo8tzXaDRquYTU1FQAdu/eTfny5bXa6enpPTe+wsYG6NWrF6NHj+bo0aP8/PPPODk50bhx43zHMjEx4cyZM0RFRfHjjz8yfvx4Jk6cyMmTJ/PsTM6VmppKYGAgX3zxRZ57dnZ2AAQGBuLg4MDKlSuxt7cnJyeHGjVqkJmZqdXeyMhI63zWrFnMnz+fsLAwPDw8MDIyYujQoXn6vUhM+dHT0yvSMxdCCCGEEEIIIUqSJISFEOI1Wr16NbVr18bT01Pr+rPJ2xdVrVo19PT0iI+Pp0mTJvm20dXVBZ7smC0uS0tLOnbsSHh4OEePHqV3796Fti9Tpgx+fn74+fkxYcIEzM3N+emnn+jcuTO6urp5YqhVqxbffPMNjo6OlCmT939J9+7dIzY2lpUrV6qJ6CNHjhQp9ujoaDp06ECPHj2AJy/Qu3z5MtWqVVPbvEhMQgghhBBCCCHEP5n8pCuEEC8gNTWVq1evqufXr18nJiYGCwsLKlWqBEBKSgpff/01c+bMeW1xmJiYMGLECIYNG0ZOTg6NGjUiOTmZ6OhoTE1NCQ4OxsHBAY1Gw65du2jTpg0GBgb51gAuSL9+/WjXrh3Z2dkEBwcX2G7Xrl38/vvvvPPOO5QtW5bvv/+enJwc3NzcAHB0dOT48ePExcVhbGyMhYUFn3zyCStXrqRr166MGjUKCwsLrl69ypYtW1i1ahVly5bF0tKSFStWYGdnR3x8PKNHjy5S3C4uLmzbto2ff/6ZsmXLMnfuXG7fvq2VEH6RmEqXLl3kZyeEEG+buJltSzoEIYQQQghRwqSGsBBCvIBTp07h7e2tvjRt+PDheHt7M378eLXNli1bUBSFrl27vtZYpkyZwrhx45gxYwbu7u60bt2a3bt34+TkBDzZjTxp0iRGjx6NjY0NgwYNKtb4fn5+2NnZ4e/vj729fYHtzM3N+fbbb2nevDnu7u4sW7aMzZs3qzWSR4wYQenSpalWrRpWVlbEx8djb29PdHQ02dnZtGrVCg8PD4YOHYq5uTmlSpWiVKlSbNmyhdOnT1OjRg2GDRvGrFmzihT32LFjqVWrFv7+/jRt2hRbW1s6duyo1eZFYhJCCCGEEEIIIf7JNIqiKCUdhBBCiLdXamoq5cuXJzw8nM6dO5d0OP8YKSkpmJmZkZycjKmpaUmHI4QQQgghhBDiX66oP4dKyQghhBD5ysnJ4e7du8yZMwdzc3Pat29f0iEJIYQQQgghhBDiJUlCWAghRL7i4+NxcnKiQoUKrF27Vl6wJoQQQgghhBBC/AtIMUQhxFtv4sSJeHl5/WPG/bdwdHREURT++OMPWrRoUdLh5OHo6EhYWJh6fuvWLVq2bImRkRHm5uYlFpcQQgghhBBCCPE2k+1eQogiOXToELNmzeL06dMkJCSwffv2PC/oArh48SKff/45Bw8e5PHjx1SrVo1vvvmGSpUqvfmg/8E0Go36b0NDQ+zt7WnYsCGffvoptWvXVu9FRUXRrFkzkpKS8iRBHR0dGTp0KEOHDlXPb9y4kWeuGTNmMHr0aK1r/v7+7N+/n2PHjlGnTp1CY42NjWXAgAFcuHCB5ORk7O3t6datGxMmTEBHR6eYK39x8+bNIyEhgZiYGMzMzIrUZ+3atQwdOpT79++/3uCEEOIFOY7e/UrHi5vZ9pWOJ4QQQggh/nlkh7AQokjS0tLw9PRk8eLFBba5du0ajRo1omrVqkRFRXH27FnGjRuHvr7+G4z01cnMzCzR+cPDw0lISOD8+fMsXryY1NRU6tWrR0RExAuPOXnyZBISErSOTz/9VKtNfHw8P//8M4MGDWLNmjXPHVNHR4devXrx448/EhsbS1hYGCtXrmTChAkvHOeLuHbtGrVr18bFxQVra+s3OrcQQgghhBBCCPFPIQlhIUSRBAQEMHXqVDp16lRgmzFjxtCmTRu+/PJLvL29qVKlCu3bt9dKzs2dOxcPDw+MjIyoWLEiH3/8MampqUWKYf369Tg6OmJmZkaXLl148OABABEREVhaWvLo0SOt9h07dqRnz57q+cyZM7GxscHExIS+ffuSkZGh1T4kJISOHTsybdo07O3tcXNzA+C3336jefPmGBgYYGlpyYcffqjGHBUVha6uLocPH1bH+fLLL7G2tub27dtFji0/5ubm2Nra4ujoSKtWrdi2bRvdu3dn0KBBJCUlFemZPcvExARbW1utw8jISKtNeHg47dq1Y+DAgWzevJmHDx8WOmblypXp3bs3np6eODg40L59e7p37671TPKzbds2PDw81Ofq5+dHWloaAE2bNlV3Nufq2LEjISEh+Y7l6OjIN998Q0REBBqNRm1X2PctKiqK3r17k5ycjEajQaPRMHHiRAAePXrEiBEjKF++PEZGRtSrV4+oqKhC1yOEEEIIIYQQQvwTSEJYCPFK5OTksHv3blxdXfH398fa2pp69eqxY8cOrXalSpViwYIFnD9/nnXr1vHTTz8xatSo545/7do1duzYwa5du9i1axcHDx5k5syZALz//vtkZ2ezc+dOtf2dO3fYvXs3ffr0AWDr1q1MnDiR6dOnc+rUKezs7FiyZEmeeSIjI4mNjWXfvn3s2rWLtLQ0/P39KVu2LCdPnuTrr79m//79DBo0CPj/icuePXuSnJzML7/8wrhx41i1ahU2NjZFiq04hg0bxoMHD9i3b1+x+xaFoiiEh4fTo0cPqlatirOzM9u2bSvWGFevXmXPnj00adKkwDYJCQl07dqVPn36cPHiRaKioujcuTOKorxQ3CdPnqR169YEBQWRkJDA/PnzgcK/bw0aNCAsLAxTU1N1t/SIESMAGDRoEEePHmXLli2cPXuW999/n9atW3PlypUCY3j06BEpKSlahxBCCCGEEEII8baRhLAQ4pW4c+cOqampzJw5k9atW/Pjjz/SqVMnOnfuzMGDB9V2Q4cOpVmzZjg6OtK8eXOmTp3K1q1bnzt+Tk4Oa9eupUaNGjRu3JiePXsSGRkJgIGBAd26dSM8PFxtv2HDBipVqkTTpk0BCAsLo2/fvvTt2xc3NzemTp1KtWrV8sxjZGTEqlWrqF69OtWrV2fTpk1kZGQQERFBjRo1aN68OYsWLWL9+vXcvn0bgKlTp1K2bFk+/PBDevToQXBwMO3bty9ybMVRtWpVAOLi4rSuV6hQAWNjY60jPj4+T//PP/88T7und/Lu37+f9PR0/P39AejRowerV68uUmwNGjRAX18fFxcXGjduzOTJkwtsm5CQwOPHj+ncuTOOjo54eHjw8ccfY2xsXKS5nmVlZYWenh4GBgbY2tqqNYQL+77p6upiZmaGRqNRd0vnPrfw8HC+/vprGjduTJUqVRgxYgSNGjXS+hyfNWPGDMzMzNSjYsWKL7QWIYQQQgghhBDidZKEsBDilcjJyQGgQ4cODBs2DC8vL0aPHk27du1YtmyZ2m7//v20aNGC8uXLY2JiQs+ePbl37x7p6ekAWonKAQMGqP0cHR0xMTFRz+3s7Lhz54563r9/f3788Udu3rwJPHlZWEhIiPpytosXL1KvXj2tmH19ffOsw8PDA11dXfX84sWLeHp6apVVaNiwITk5OcTGxgJPEosbN27km2++ISMjg3nz5mmN+bzYiiN3B+2zfQ8fPkxMTIzWYW9vn6f/yJEj87Tz8fFR769Zs4YPPviAMmWevHO0a9euREdHc+3atefG9tVXX3HmzBk2bdrE7t27mT17thrb05/rxo0b8fT0pEWLFnh4ePD++++zcuXKFy6DUZjnfd/y89tvv5GdnY2rq6tW3AcPHiz0OYSGhpKcnKwef/zxxytfjxBCCCGEEEII8bLKlHQAQoh/h3LlylGmTJk8u27d3d05cuQI8GRXa25t2mnTpmFhYcGRI0fo27cvmZmZGBoaEhMTo/Y1NTVV/62jo6M1rkajUZPQAN7e3nh6ehIREUGrVq04f/48u3cX/83sz9bTLaqff/4ZgMTERBITE7XGeVWxwZMENYCTk5PWdScnJ8zNzbWu5SZ1n1auXDmcnZ3zHTsxMZHt27eTlZXF0qVL1evZ2dmsWbOGadOmFRpb7o7YatWqkZ2dzYcffshnn32Gj4+P1udqY2ND6dKl2bdvHz///DM//vgjCxcuZMyYMRw/fhwnJydKlSqVp3xEVlZWofM/qyjft/ykpqZSunRpTp8+TenSpbXuFbaDWU9PDz09vWLFKIQQQgghhBBCvGmSEBZCvBK6urrUqVNH3TWb6/Llyzg4OABw+vRpcnJymDNnDqVKPfkDhWfLRRSUrCyKfv36ERYWxs2bN/Hz89P6k313d3eOHz9Or1691GvHjh177pju7u6sXbuWtLQ0NckbHR1NqVKl1JfOXbt2jWHDhrFy5Uq++uorgoOD2b9/v7rG58VWHLk1b/38/F6of2E2btxIhQoV8tR9/vHHH5kzZw6TJ0/OkyAtSE5ODllZWeTk5GBgYJDv56rRaGjYsCENGzZk/PjxODg4sH37doYPH46VlRUJCQlq2+zsbM6dO0ezZs2KvJ6ifN90dXXJzs7Wuubt7U12djZ37tyhcePGRZ5PCCFeh7iZbUs6BCGEEEII8S8jJSOEEEWSmpqqlhgAuH79OjExMVp1akeOHMlXX33FypUruXr1KosWLeL//u//+Pjjj4Enyd6srCwWLlzI77//zvr167XKSbysbt268eeff7Jy5co8L2wbMmQIa9asITw8nMuXLzNhwgTOnz//3DG7d++Ovr4+wcHBnDt3jgMHDvDpp5/Ss2dPbGxsyM7OpkePHvj7+9O7d2/Cw8M5e/Ysc+bMKXJsBbl//z63bt3ixo0b7Nu3j/fee49NmzaxdOnSPLuBi+rBgwfcunVL68h9+dnq1at57733qFGjhtbRt29f7t69y549e/Idc+PGjWzdupWLFy/y+++/s3XrVkJDQ/nggw/y7OzOdfz4cfUFf/Hx8Xz77bf8/fffuLu7A9C8eXN2797N7t27uXTpEgMHDuT+/fvFWmtRvm+Ojo6kpqYSGRnJ3bt3SU9Px9XVle7du9OrVy++/fZbrl+/zokTJ5gxY8YL7+wWQgghhBBCCCHeGooQQhTBgQMHFCDPERwcrNVu9erVirOzs6Kvr694enoqO3bs0Lo/d+5cxc7OTjEwMFD8/f2ViIgIBVCSkpIKnHvChAmKp6en1rV58+YpDg4Oedr27NlTsbCwUDIyMvLcmzZtmlKuXDnF2NhYCQ4OVkaNGqU1bnBwsNKhQ4c8/c6ePas0a9ZM0dfXVywsLJT+/fsrDx48UBRFUSZNmqTY2dkpd+/eVdt/8803iq6urhITE1Pk2J719DPW19dXqlSpogQHByunT5/Wapf7ueT3/BwcHJR58+Zpnef3GX700UfKqVOnFEA5ceJEvvEEBAQonTp1yvfeli1blFq1ainGxsaKkZGRUq1aNWX69OnKw4cPC1zfhQsXFH9/f8XKykrR09NTXF1dlYULF6r3MzMzlYEDByoWFhaKtbW1MmPGDKVDhw5a37dn1/fsfUUp2vdtwIABiqWlpQIoEyZMUOcfP3684ujoqOjo6Ch2dnZKp06dlLNnzxa4pmclJycrgJKcnFzkPkIIIYQQQgghxIsq6s+hGkV5pkijEEL8g7Vo0YLq1auzYMGCkg4lj7c5NvHqpaSkYGZmRnJyslY9bCGEEEIIIYQQ4nUo6s+hUkNYCPGvkJSURFRUFFFRUSxZsqSkw9HyNscmhBBCCCGEEEKI/xZJCAsh/hW8vb1JSkriiy++UF/29rZ4m2MTQgghhBBCCCHEf4u8VE4I8a8QFxdHcnIyI0aMeOmxDh06RGBgIPb29mg0Gnbs2JGnzcSJE6latSpGRkaULVsWPz8/jh8/Xmhs7733HhqNRn0x39OaNm3K0KFDta6dP3+eoKAgrKys0NPTw9XVlfHjx5Oenq7VztHREY1Gg0ajwcDAAEdHR4KCgvjpp5/yxJHb7tnj2LFjxXpGxXHmzBlatmyJubk5lpaWfPjhh6SmphbaJyoqCo1Gk++L5BwdHQkLC9O69vPPP9OmTRvKli2Lvr4+Hh4ezJ07l+zsbK12T6/ZyMgIFxcXQkJCOH36dL7z53fcunXrhZ6DEEIIIYQQQgjxNpAdwkII8Yy0tDQ8PT3p06cPnTt3zreNq6srixYtonLlyjx8+JB58+bRqlUrrl69ipWV1UvHcOzYMfz8/PDz82P37t3Y2Nhw4sQJPvvsMyIjIzlw4AC6urpq+8mTJ9O/f38yMzOJi4tjw4YN+Pn5MWXKFMaMGaM19v79+6levbrWNUtLyyLFFRcXh5OTE0UtP//XX3/h5+fHBx98wKJFi0hJSWHo0KGEhISwbdu2Io3xPNu3bycoKIjevXtz4MABzM3N2b9/P6NGjeLo0aNs3boVjUajtg8PD6d169ZkZGRw+fJlVqxYQb169VizZg29evXSGjs2NjZP3SVra+tXErcQQpQEx9G7SzqEf5S4mW1LOgQhhBBCiFdOEsJCCPGMgIAAAgICCm3TrVs3rfO5c+eyevVqzp49S4sWLV5qfkVR6Nu3L+7u7nz77beUKvXkjzkcHBxwdXXF29ubefPm8fnnn6t9TExMsLW1BaBSpUq888472NnZMX78eN577z2tUhWWlpZq29dt165d6OjosHjxYnUdy5Yto2bNmly9ehVnZ+eXGj8tLY3+/fvTvn17VqxYoV7v168fNjY2tG/fnq1bt/LBBx+o98zNzdX1Ozo60qpVK4KDgxk0aBCBgYGULVtWbWttbY25uflLxSiEEEIIIYQQQrxNpGSEEEK8pMzMTFasWIGZmRmenp4vPV5MTAwXLlxg+PDhahI1l6enJ35+fmzevPm54wwZMgRFUfjuu+9eOqYX9ejRI3R1dbXWYWBgAMCRI0deevwff/yRe/fu5VsqJDAwEFdX1yI9q2HDhvHgwQP27dv30jEJIYQQQgghhBBvM0kICyHEC9q1axfGxsbo6+szb9489u3bR7ly5Z7br0GDBhgbG2sdhw8fVu9fvnwZAHd393z7u7u7q20KY2FhgbW1NXFxcc+d/3Vp3rw5t27dYtasWWRmZpKUlMTo0aMBSEhIeG7/ChUq5Ik1Pj5evf+8Z1W1atUiPauqVasC5HlWz87/bKmNpz169IiUlBStQwghhBBCCCGEeNtIyQghhHhBzZo1IyYmhrt377Jy5UqCgoI4fvw41tbWBAQEqEleBwcHzp8/r/b76quv8iQwu3fvnmf8otbpLYyiKFr1cwuavzDVq1fnxo0bWjE9nURu3LgxP/zwQ4F9161bx/DhwwkNDaV06dIMHjwYGxsbddfw0+M/O9bhw4cxMTHRGrNp06b5rvNl5PZ/9lk9O7+Ojk6BY8yYMYNJkya9VBxCCCGEEEIIIcTrJglhIYR4QUZGRjg7O+Ps7Ez9+vVxcXFh9erVhIaGsmrVKh4+fAjkTSJWrFgxT+3c3DIK8OSFdQAXL17E29s7z7wXL15U2xTm3r17/P333zg5OT13/sJ8//33ZGVlAXDz5k2aNm1KTExMvrHnp1u3bnTr1o3bt29jZGSERqNh7ty5VK5cOc/4z47l5OSUp4ZvmTL//39dTz+rBg0a5Jn74sWLVKtW7blrvHjxojrf8+YvSGhoKMOHD1fPU1JSqFixYpH6CiGEEEIIIYQQb4okhIUQ4hXJycnh0aNHAJQvX/6Fx/Hy8qJq1arMmzePLl26aNXf/fXXX9m/fz8zZsx47jjz58+nVKlSdOzY8YVjgSc7nHPlJmNf5GVwNjY2AKxZswZ9fX1atmyZZ/ziatWqFRYWFsyZMydPQnjnzp1cuXKFKVOmPHecsLAwTE1N8fPze+FY9PT00NPTe+H+QgghhBBCCCHEmyAJYSGEeEZqaipXr15Vz69fv05MTAwWFhZUqlSJtLQ0pk2bRvv27bGzs+Pu3bssXryYmzdv8v7777/0/BqNhtWrV9OyZUveffddQkNDsbW15fjx43z22Wf4+voydOhQrT4PHjzg1q1bZGVlcf36dTZs2MCqVauYMWNGnuTtvXv3uHXrltY1c3Nz9PX1Xzr2/CxatEitW7xv3z5GjhzJzJkzi7zztjBGRkYsX76cLl268OGHHzJo0CBMTU2JjIxk5MiRvPfeewQFBWn1uX//Prdu3eLRo0dcvnyZ5cuXs2PHDiIiIvLEdOfOHTIyMrSuWVpaFlo6Qggh3mZxM9uWdAhCCCGEEKKESUJYCCGecerUKZo1a6ae55YBCA4OZu3atZQuXZpLly6xbt067t69i6WlJXXq1OHw4cOFvnSsOBo0aMCxY8eYNGkSAQEBPHjwgEqVKhEcHExoaGienajjx49n/Pjx6OrqYmtrS/369YmMjNRaR678dsFu3ryZLl26vJLYn3XixAkmTJhAamoqVatWZfny5fTs2fOVjf/ee+9x4MABpk2bRuPGjcnIyMDFxYUxY8YwdOjQPHWBe/fuDYC+vj7ly5enUaNGnDhxglq1auUZ283NLc+1o0ePUr9+/VcWvxBCCCGEEEII8SZplFfx1iIhhBBCaElJScHMzIzk5GRMTU1LOhwhhBBCCCGEEP9yRf05tFSBd4QQQgghhBBCCCGEEEL8q0hCWAghhBBCCCGEEEIIIf4jJCEshBCixEycOBEvL6+SDkMIIYQQQgghhPjPkISwEEL8Axw6dIjAwEDs7e3RaDTs2LFDvZeVlcXnn3+Oh4cHRkZG2Nvb06tXL/76668XHjPXxIkTqVq1KkZGRpQtWxY/Pz+OHz9e6LhxcXFoNBr1MDExoXr16nzyySdcuXJFq+2IESOIjIzUmi+/BHHumDExMVrX161bR506dTA0NMTExIQmTZqwa9curTZRUVFoNBrKli1LRkaG1r2TJ0+qcT7bPr/j1q1bha5dCCGEEEIIIYR425Up6QCEEEI8X1paGp6envTp04fOnTtr3UtPT+fMmTOMGzcOT09PkpKSGDJkCO3bt+fUqVMvNGYuV1dXFi1aROXKlXn48CHz5s2jVatWXL16FSsrq0Jj3r9/P9WrVyc9PZ3ffvuN+fPn4+npyf/93//RokULAIyNjTE2Ni7m03hixIgRLFq0iKlTp9KxY0eysrLYsGEDHTp0YP78+QwaNEirvYmJCdu3b6dr167qtdWrV1OpUiXi4+PzjB8bG5unCL+1tfULxSqEyMtx9O6SDuE/KW5m25IOQQghhBBClDBJCAshxD9AQEAAAQEB+d4zMzNj3759WtcWLVpE3bp1iY+Pp1KlSsUeM1e3bt20zufOncvq1as5e/asmtQtiKWlJba2tgBUrlyZwMBAWrRoQd++fbl27RqlS5dm4sSJ7NixI8/O3+c5duwYc+bMYcGCBXz66afq9WnTppGRkcHw4cPp0KEDFStWVO8FBwezZs0aNSH88OFDtmzZwuDBg5kyZUqeOaytrTE3Ny9WXEIIIYQQQgghxNtOSkYIIcS/UHJyMhqN5pUmNDMzM1mxYgVmZmZ4enoWu3+pUqUYMmQIN27c4PTp0y8Vy+bNmzE2Nuajjz7Kc++zzz4jKyuLb775Rut6z549OXz4sLob+JtvvsHR0ZFatWq9VCxCCCGEEEIIIcQ/iSSEhRDiXyYjI4PPP/+crl275il58CJ27dqFsbEx+vr6zJs3j3379lGuXLkXGqtq1arAk5rABfntt9/UUhK5R/Xq1bXaXL58mSpVqqCrq5unv729Paamply+fFnrurW1NQEBAaxduxaANWvW0KdPnwLjqFChQqExPOvRo0ekpKRoHUIIIYQQQgghxNtGSkYIIcS/SFZWFkFBQSiKwtKlS1/JmM2aNSMmJoa7d++ycuVKgoKCOH78uJpgPXz4MAAODg6cP3++0LEURQHQeonbs9zc3Ni5c6fWtZs3b9K0adN8xyqOPn36MGTIEHr06MHRo0f5+uuv1fifdfjwYUxMTNRzHR2dQseeMWMGkyZNKnZMQgghhBBCCCHEmyQJYSGE+JfITQbfuHGDn3766ZXsDgYwMjLC2dkZZ2dn6tevj4uLC6tXryY0NJRVq1bx8OFD4PkJU4CLFy8C4OTkVGAbXV1dnJ2dta6VKaP9vytXV1eOHDlCZmZmnl3Cf/31FykpKbi6uuYZOyAggA8//JC+ffsSGBiIpaVlgXE4OTkVq+RGaGgow4cPV89TUlK0ahgLIYQQQgghhBBvAykZIYQQ/wK5yeArV66wf//+QhOdLysnJ4dHjx4BUL58eTVZ7ODg8Nx+CxYswMnJCW9v75eKoUuXLqSmprJ8+fI892bPno2Ojg7vvvtunntlypShV69eREVFFVou4kXo6elhamqqdQghhBBCCCGEEG8b2SEshBD/AKmpqVy9elU9v379OjExMVhYWGBnZ8d7773HmTNn2LVrF9nZ2dy6dQsACwuLfOvsPm/MSpUqkZaWxrRp02jfvj12dnbcvXuXxYsXc/PmTd5///3nxnzv3j1u3bpFeno6586dIywsjBMnTrB7925Kly79Us/D19eXIUOGMHLkSDIzM+nYsSNZWVls2LCB+fPnExYWVuDu3ClTpjBy5MjnJs3v3LlDRkaG1jVLS8si7YQWQjxf3My2JR2CEEIIIYQQ/0mSEBZCiH+AU6dO0axZM/U8tzRBcHAwEydOVGvuenl5afU7cOCAWnu3adOmODo6qi9VK2zMtWvXUrp0aS5dusS6deu4e/culpaW1KlTh8OHDz/3BWsAfn5+ABgaGuLg4ECzZs1YsWJFnnIQLyosLIyaNWuyZMkSxo4dS+nSpalVqxY7duwgMDCwwH66urpFeimem5tbnmtHjx6lfv36LxW3EEIIIYQQQghRkjTKi7yVRwghxD+Og4MDkyZNIiQkpKRD+U9ISUnBzMyM5ORkKR8hhBBCCCGEEOK1K+rPoVJDWAgh/gPOnz+PmZkZvXr1KulQhBBCCCGEEEIIUYKkZIQQQvwHVK9enbNnz5Z0GEIIIYQQQgghhChhskNYCCGEEEIIIYQQQggh/iMkISyEEEXQtGlThg4dWtJhvPUiIyNxd3cnOzu7pEN5ZUaPHs2nn35a0mEIIYQQQgghhBCvhJSMEEK8cYcOHWLWrFmcPn2ahIQEtm/fTseOHbXaKIrChAkTWLlyJffv36dhw4YsXboUFxeXkgn6X2rt2rUMHTqU+/fvv5LxRo0axdixYyldujQACQkJfPbZZ5w6dYqrV68yePBgwsLCtPqcP3+e8ePHc/r0aW7cuMG8efOKlHyfNm0au3fvJiYmBl1d3RdaQ1HiGzFiBJUrV2bYsGFUrly52HMIIcTbxHH07pIO4T8rbmbbkg5BCCGEEAKQHcJCiBKQlpaGp6cnixcvLrDNl19+yYIFC1i2bBnHjx/HyMgIf39/MjIy3mCkojiOHDnCtWvXePfdd9Vrjx49wsrKirFjx+Lp6Zlvv/T0dCpXrszMmTOxtbUt8nyZmZm8//77DBw48IVjLkp85cqVw9/fn6VLl77wPEIIIYQQQgghxNtCEsJCiDcuICCAqVOn0qlTp3zvK4pCWFgYY8eOpUOHDtSsWZOIiAj++usvduzYUeC4a9euxdzcXOvajh070Gg06vnEiRPx8vJi/fr1ODo6YmZmRpcuXXjw4IHaJi0tjV69emFsbIydnR1z5szJM9ejR48YMWIE5cuXx8jIiHr16hEVFaXVJjo6mqZNm2JoaEjZsmXx9/cnKSkJgJycHGbMmIGTkxMGBgZ4enqybds2tW9UVBQajYbIyEh8fHwwNDSkQYMGxMbGas2xdOlSqlSpgq6uLm5ubqxfv17r/ty5c/Hw8MDIyIiKFSvy8ccfk5qaqs7Ru3dvkpOT0Wg0aDQaJk6cWOT1PWvLli20bNkSfX199ZqjoyPz58+nV69emJmZ5duvTp06zJo1iy5duqCnp1foHE+bNGkSw4YNw8PDI9/7RXmGRYkPIDAwkC1bthQ5NiGEEEIIIYQQ4m0lCWEhxFvn+vXr3Lp1Cz8/P/WamZkZ9erV4+jRoy89/rVr19ixYwe7du1i165dHDx4kJkzZ6r3R44cycGDB/nuu+/48ccfiYqK4syZM1pjDBo0iKNHj7JlyxbOnj3L+++/T+vWrbly5QoAMTExtGjRgmrVqnH06FGOHDlCYGCgWlt3xowZREREsGzZMs6fP8+wYcPo0aMHBw8e1JpnzJgxzJkzh1OnTlGmTBn69Omj3tu+fTtDhgzhs88+49y5c3z00Uf07t2bAwcOqG1KlSrFggULOH/+POvWreOnn35i1KhRADRo0ICwsDBMTU1JSEggISGBESNGFGl9+Tl8+DA+Pj4v8pE819q1a7US+8VR2DMsqrp16/Lnn38SFxdXYJtHjx6RkpKidQghhBBCCCGEEG8bqSEshHjr3Lp1CwAbGxut6zY2Nuq9l5GTk8PatWsxMTEBoGfPnkRGRjJt2jRSU1NZvXo1GzZsoEWLFgCsW7eOChUqqP3j4+MJDw8nPj4ee3t74Emd2T179hAeHs706dP58ssv8fHxYcmSJWq/6tWrA08Sh9OnT2f//v34+voCULlyZY4cOcLy5ctp0qSJ2mfatGnq+ejRo2nbti0ZGRno6+sze/ZsQkJC+PjjjwEYPnw4x44dY/bs2TRr1gxAqxavo6MjU6dOZcCAASxZsgRdXV3MzMzQaDRapRqKsr783LhxQ23/qpmZmeHm5vZCfQt7hkWVu64bN27g6OiYb5sZM2YwadKkF4pRCCGEEEIIIYR4U2SHsBDiHykgIABjY2OMjY3VRGtROTo6qslgADs7O+7cuQM82T2cmZlJvXr11PsWFhZaycjffvuN7OxsXF1d1RiMjY05ePAg165dA/7/DuH8XL16lfT0dFq2bKnVPyIiQu2fq2bNmlpxAmqsFy9epGHDhlrtGzZsyMWLF9Xz/fv306JFC8qXL4+JiQk9e/bk3r17pKenF/h8irK+/Dx8+LBYSdbi6NSpE5cuXXqhvoU9w6IyMDAAKPS5hYaGkpycrB5//PHHC0QrhBBCCCGEEEK8XrJDWAjx1sndrXr79m01gZd77uXlBcCqVat4+PAhADo6OsCT8giKomiNlZWVlWf83Pa5NBoNOTk5RY4vNTWV0qVLc/r0aUqXLq11z9jYGPj/CcSC+gPs3r2b8uXLa917tobu07HmlkwoaqxxcXG0a9eOgQMHMm3aNCwsLDhy5Ah9+/YlMzMTQ0PDF15ffsqVK6fWSH6bvMwzzJWYmAiAlZVVgW309PSKVQNZCCGEEEIIIYQoCZIQFkK8dZycnLC1tSUyMlJNAKekpHD8+HEGDhwIkCeRCk+SdQ8ePCAtLQ0jIyPgyU7d4qhSpQo6OjocP36cSpUqAZCUlMTly5fVsgPe3t5kZ2dz584dGjdunO84NWvWJDIyMt8SAtWqVUNPT4/4+Hit8hDF5e7uTnR0NMHBweq16OhoqlWrBsDp06fJyclhzpw5lCr15A9Ctm7dqjWGrq6uWtc4V1HWlx9vb28uXLjwost5q507dw4dHZ1i70YXQoi3TdzMtiUdghBCCCGEKGGSEBZCvHGpqalcvXpVPb9+/ToxMTFYWFhQqVIlNBoNQ4cOZerUqbi4uODk5MS4ceOwt7enY8eOBY5br149DA0N+d///sfgwYM5fvw4a9euLVZsxsbG9O3bl5EjR2JpaYm1tTVjxoxRE6oArq6udO/enV69ejFnzhy8vb35+++/iYyMpGbNmrRt25bQ0FA8PDz4+OOPGTBgALq6uhw4cID333+fcuXKMWLECIYNG0ZOTg6NGjUiOTmZ6OhoTE1NtRK8hRk5ciRBQUF4e3vj5+fH//3f//Htt9+yf/9+AJydncnKymLhwoUEBgYSHR3NsmXLtMZwdHQkNTWVyMhIPD09MTQ0LNL68uPv78+6devyXM9NyqempvL3338TExODrq6umrjOzMxUE8mZmZncvHmTmJgYjI2NcXZ2Bp68QC80NFSrbER8fDyJiYnEx8eTnZ2tzuPs7FzoTubixgdPXpjXuHHjQnd+CyGEEEIIIYQQ/wiKEEK8YQcOHFCAPEdwcLDaJicnRxk3bpxiY2Oj6OnpKS1atFBiY2OfO/b27dsVZ2dnxcDAQGnXrp2yYsUK5en/1E2YMEHx9PTU6jNv3jzFwcFBPX/w4IHSo0cPxdDQULGxsVG+/PJLpUmTJsqQIUPUNpmZmcr48eMVR0dHRUdHR7Gzs1M6deqknD17Vm0TFRWlNGjQQNHT01PMzc0Vf39/JSkpSV1fWFiY4ubmpujo6ChWVlaKv7+/cvDgQa1nlNteURTll19+UQDl+vXr6rUlS5YolStXVnR0dBRXV1clIiJCa21z585V7OzsFAMDA8Xf31+JiIjIM+6AAQMUS0tLBVAmTJhQ5PU96969e4q+vr5y6dIlrev5fdZPP+/r16/n26ZJkyZqm/DwcOXZ/2UFBwfn2+/AgQPFeobPi09RFMXNzU3ZvHlzgWvPT3JysgIoycnJxeonhBBCCCGEEEK8iKL+HKpRlGcKbgohhBAvaOTIkaSkpLB8+fKSDuWV+eGHH/jss884e/YsZcoU/Q9rUlJSMDMzIzk5GVNT09cYoRBCCCGEEEIIUfSfQ0sVeEcIIYQopjFjxuDg4FDsl7a9zdLS0ggPDy9WMlgIIYQQQgghhHhbSUJYCCGKICQkpND6xeKJ27dvs2DBAtLS0ko6lFfm7t27TJ06taTDEEIIIYQQQgghXglJCAshiuXQoUMEBgZib2+PRqNhx44dedooisL48eOxs7PDwMAAPz8/rly58uaDFc8VFRWFRqPh/v37r2S80NBQPv30U0xMTADIyMggJCQEDw8PypQpU2BSffHixbi7u2NgYICbmxsRERHPnWvFihU0bdoUU1PTl1rD1q1b8fLywtDQEAcHB2bNmqV1v0+fPpw5c4bDhw+/0PhCCCGEEEIIIcTbRP7+VQhRLGlpaXh6etKnTx86d+6cb5svv/ySBQsWsG7dOpycnBg3bhz+/v5cuHABfX39NxyxeFPi4+PZtWsXCxcuVK9lZ2djYGDA4MGD+eabb/Ltt3TpUkJDQ1m5ciV16tThxIkT9O/fn7JlyxIYGFjgfOnp6bRu3ZrWrVsTGhr6QjH/8MMPdO/enYULF9KqVSsuXrxI//79MTAwYNCgQQDo6urSrVs3FixYQOPGjV9oHiGEeFs4jt5d0iGIf5C4mW1LOgQhhBBCvAayQ1gIUSwBAQFMnTqVTp065XtfURTCwsIYO3YsHTp0oGbNmkRERPDXX3/lu5s4V+5O1cjISHx8fDA0NKRBgwbExsZqtVu6dClVqlRBV1cXNzc31q9fr3Vfo9GwatUqOnXqhKGhIS4uLuzcuVO9n52dTd++fXFyclJ3o86fP19rjOzsbIYPH465uTmWlpaMGjWKZ9+/mZOTw4wZM9RxPD092bZtm1ab8+fP065dO0xNTTExMaFx48Zcu3ZNvb9q1Src3d3R19enatWqLFmyRL0XFxeHRqPh22+/pVmzZhgaGuLp6cnRo0e15vjmm2+oXr06enp6ODo6MmfOHK3769evx8fHBxMTE2xtbenWrRt37txR52jWrBkAZcuWRaPREBISUuT1PWvr1q14enpSvnx59ZqRkRFLly6lf//+2Nra5ttv/fr1fPTRR3zwwQdUrlyZLl268OGHH/LFF18UOt/QoUMZPXo09evXz/d+UZ7h+vXr6dixIwMGDKBy5cq0bduW0NBQvvjiC63PPDAwkJ07d/Lw4cNCYxJCCCGEEEIIId52khAWQrxS169f59atW/j5+anXzMzMqFevXp5kZn7GjBnDnDlzOHXqFGXKlKFPnz7qve3btzNkyBA+++wzzp07x0cffUTv3r05cOCA1hiTJk0iKCiIs2fP0qZNG7p3705iYiLwJNFZoUIFvv76ay5cuMD48eP53//+x9atW9X+c+bMYe3ataxZs4YjR46QmJjI9u3bteaYMWMGERERLFu2jPPnzzNs2DB69OjBwYMHAbh58ybvvPMOenp6/PTTT5w+fZo+ffrw+PFjADZu3Mj48eOZNm0aFy9eZPr06YwbN45169bleR4jRowgJiYGV1dXunbtqo5x+vRpgoKC6NKlC7/99hsTJ05k3LhxrF27Vu2flZXFlClT+PXXX9mxYwdxcXFq0rdixYrqrt3Y2FgSEhLU5Pjz1pefw4cP4+PjU/gHnI9Hjx7l2TluYGDAiRMnyMrKAv7/Lwzi4uKKPX5hz7Cguf/8809u3LihXvPx8eHx48ccP3680HWkpKRoHUIIIYQQQgghxNtGSkYIIV6pW7duAWBjY6N13cbGRr1XmGnTptGkSRMARo8eTdu2bcnIyEBfX5/Zs2cTEhLCxx9/DMDw4cM5duwYs2fPVne6wpMXwHXt2hWA6dOns2DBAk6cOEHr1q3R0dFh0qRJalsnJyeOHj3K1q1bCQoKAiAsLIzQ0FC1JMayZcvYu3ev2ufRo0dMnz6d/fv34+vrC0DlypU5cuQIy5cvp0mTJixevBgzMzO2bNmCjo4OAK6uruoYEyZMYM6cOeocTk5OXLhwgeXLlxMcHKy2GzFiBG3bPvlzzUmTJlG9enWuXr1K1apVmTt3Li1atGDcuHHq+BcuXGDWrFlq0vfphHrlypVZsGABderUITU1FWNjYywsLACwtrbG3Ny8yOvLz40bN14oIezv78+qVavo2LEjtWrV4vTp06xatYqsrCzu3r2LnZ0dhoaGuLm5qc+yOAp7hv7+/gwbNoyQkBCaNWvG1atX1V3WCQkJODo6AmBoaIiZmZlWkvhZM2bM0PpuCSGEEEIIIYQQbyPZISyEeOMCAgIwNjbG2NiY6tWra92rWbOm+m87OzsAtcTBxYsXadiwoVb7hg0bcvHixQLHMDIywtTUVB0DnrzArHbt2lhZWWFsbMyKFSuIj48HIDk5mYSEBOrVq6e2L1OmjFai8+rVq6Snp9OyZUt1HcbGxkRERKglIWJiYmjcuHG+Ccy0tDSuXbtG3759tfpPnTpVq6TEiz6PK1eukJ2dDTzZRRwYGEilSpUwMTFRk7m5681PUdaXn4cPH75Qjehx48YREBBA/fr10dHRoUOHDmpSvFSpJ/+bqlu3LpcuXdIqR1FUhT3D/v37M2jQINq1a4euri7169enS5cuWnPnMjAwID09vcB5QkNDSU5OVo8//vij2LEKIYQQQgghhBCvm+wQFkK8Url1Ym/fvq0m33LPvby8gCe1c3NrsT6bMH36XKPRAE/KPBTHs2NqNBp1jC1btjBixAjmzJmDr68vJiYmzJo1q9BSAM9KTU0FYPfu3XkSlHp6esCT5OHz+q9cuVIr8QxQunTpAtdS3OeRlpaGv78//v7+bNy4ESsrK+Lj4/H39yczM/O58RW2vvyUK1eOpKSkIsX2NAMDA9asWcPy5cvV782KFSswMTHBysqq2OM9q7BnqNFo+OKLL5g+fTq3bt3CysqKyMhI4Mmu6KclJiYWGo+enl6hz0cIIYQQQgghhHgbSEJYCPFKOTk5YWtrS2RkpJoATklJ4fjx4wwcOBDghXZ5Ari7uxMdHa1VUiE6Oppq1aoVeYzo6GgaNGiglp0AtHa9mpmZYWdnx/Hjx3nnnXcAePz4MadPn6ZWrVoAVKtWDT09PeLj4wssn1CzZk3WrVtHVlZWngS1jY0N9vb2/P7773Tv3r3IsT8r93k8uz5XV1dKly7NpUuXuHfvHjNnzqRixYoAnDp1Squ9rq4ugLqjuKjry4+3tzcXLlx40eWgo6NDhQoVgCeJ+3bt2uXZpfu6lC5dWv1ebt68GV9fX63k77Vr18jIyMDb2/uNxCOEEEIIIYQQQrwukhAWQhRLamoqV69eVc+vX79OTEwMFhYWVKpUCY1Gw9ChQ5k6dSouLi44OTkxbtw47O3t6dix40vNPXLkSIKCgvD29sbPz4//+7//49tvv2X//v1FHsPFxYWIiAj27t2Lk5MT69ev5+TJkzg5OalthgwZwsyZM3FxcVFr9d6/f1+9b2JiwogRIxg2bBg5OTk0atSI5ORkoqOjMTU1JTg4mEGDBrFw4UK6dOlCaGgoZmZmHDt2jLp16+Lm5sakSZMYPHgwZmZmtG7dmkePHnHq1CmSkpIYPnx4kdby2WefUadOHaZMmcIHH3zA0aNHWbRoEUuWLAGgUqVK6OrqsnDhQgYMGMC5c+eYMmWK1hgODg5oNBp27dpFmzZtMDAwKNL68uPv70+/fv3Izs7W2ul84cIFMjMzSUxM5MGDB8TExACovzC4fPkyJ06coF69eiQlJTF37lzOnTun9YK9EydO0KtXLyIjI9XE7a1bt7h165b6ffztt98wMTGhUqVKam3k57l79y7btm2jadOmZGRkEB4eztdff53n5XmHDx+mcuXKVKlSpUjjCiHE2ypuZtuSDkEIIYQQQpQ0RQghiuHAgQMKkOcIDg5W2+Tk5Cjjxo1TbGxsFD09PaVFixZKbGxskcZNSkpSr/3yyy8KoFy/fl29tmTJEqVy5cqKjo6O4urqqkRERGiNAyjbt2/XumZmZqaEh4criqIoGRkZSkhIiGJmZqaYm5srAwcOVEaPHq14enqq7bOyspQhQ4Yopqamirm5uTJ8+HClV69eSocOHbTWGBYWpri5uSk6OjqKlZWV4u/vrxw8eFBt8+uvvyqtWrVSDA0NFRMTE6Vx48bKtWvX1PsbN25UvLy8FF1dXaVs2bLKO++8o3z77beKoijK9evXFUD55Zdf1PZJSUkKoBw4cEC9tm3bNqVatWqKjo6OUqlSJWXWrFlaa9+0aZPi6Oio6OnpKb6+vsrOnTvzjDt58mTF1tZW0Wg06udYlPU9KysrS7G3t1f27Nmjdd3BwSHf70yuCxcuKF5eXoqBgYFiamqqdOjQQbl06ZLWGLnfj6e/CxMmTMh33NzPuijP8O+//1bq16+vGBkZKYaGhkqLFi2UY8eO5Vlbq1atlBkzZhS49vwkJycrgJKcnFysfkIIIYQQQgghxIso6s+hGkVRlDeVfBZCCPHvtnjxYnbu3MnevXtLOpRX5vz58zRv3pzLly9jZmZW5H4pKSmYmZmRnJyMqanpa4xQCCGEEEIIIYQo+s+hUjJCCCHEK/PRRx9x//59Hjx4gImJSUmH80okJCQQERFRrGSwEEIIIYQQQgjxtpIdwkIIIcRrIDuEhRBCCCGEEEK8SUX9OfTNvL5dCCGeEhUVhUaj0XpR2z+BRqNhx44dJR3GW2/cuHF8+OGHJR3GK3P37l2sra35888/SzoUIYQQQgghhBDipUlCWAhRoEOHDhEYGIi9vX2ByVBFURg/fjx2dnYYGBjg5+fHlStX3nyw+YiLi0Oj0RATE1PSobzVQkJC6Nix4ysZ69atW8yfP58xY8ao14ryPdJoNPkes2bNKnCuhIQEunXrhqurK6VKlWLo0KEvFPPz5i5Xrhy9evViwoQJLzS+EEIIIYQQQgjxNpEawkKIAqWlpeHp6UmfPn3o3Llzvm2+/PJLFixYwLp163BycmLcuHH4+/tz4cIF9PX133DEoqStWrWKBg0a4ODgoF4ryvcoISFB6/yHH36gb9++vPvuuwXO9ejRI6ysrBg7dizz5s174ZiLMnfv3r2pXbs2s2bNwsLC4oXnEkKIkuY4endJhyDeoLiZbUs6BCGEEEK8hWSHsBCiQAEBAUydOpVOnTrle19RFMLCwhg7diwdOnSgZs2aRERE8NdffxWptMLp06fx8fHB0NCQBg0aEBsbq3X/u+++o1atWujr61O5cmUmTZrE48eP1fsajYalS5cSEBCAgYEBlStXZtu2bep9JycnALy9vdFoNDRt2hSAkydP0rJlS8qVK4eZmRlNmjThzJkzWnNfuXKFd955B319fapVq8a+ffvyxP/HH38QFBSEubk5FhYWdOjQgbi4OK02a9asoXr16ujp6WFnZ8egQYPUe/fv36dfv35YWVlhampK8+bN+fXXX9X7EydOxMvLi/Xr1+Po6IiZmRldunThwYMHaptHjx4xePBgrK2t0dfXp1GjRpw8eVK9n52dTd++fXFycsLAwAA3Nzfmz5+vNce6dev47rvv1J2xUVFRRV7fs7Zs2UJgYKDWted9jwBsbW21ju+++45mzZpRuXLlAvs4Ojoyf/58evXqVeAL33J3P8+ePRs7OzssLS355JNPyMrKKtbc1atXx97enu3btxe6fiGEEEIIIYQQ4m0nCWEhxAu7fv06t27dws/PT71mZmZGvXr1OHr06HP7jxkzhjlz5nDq1CnKlClDnz591HuHDx+mV69eDBkyhAsXLrB8+XLWrl3LtGnTtMYYN24c7777Lr/++ivdu3enS5cuXLx4EYATJ04AsH//fhISEvj2228BePDgAcHBwRw5coRjx47h4uJCmzZt1ERrTk4OnTt3RldXl+PHj7Ns2TI+//xzrXmzsrLw9/fHxMSEw4cPEx0djbGxMa1btyYzMxOApUuX8sknn/Dhhx/y22+/sXPnTpydndUx3n//fe7cucMPP/zA6dOnqVWrFi1atCAxMVFtc+3aNXbs2MGuXbvYtWsXBw8eZObMmer9UaNG8c0337Bu3TrOnDmDs7Mz/v7+6hg5OTlUqFCBr7/+mgsXLjB+/Hj+97//sXXrVgBGjBhBUFAQrVu3JiEhgYSEBBo0aFCk9T0rMTGRCxcu4OPj89zPvjC3b99m9+7d9O3bV+t606ZNCQkJKfZ4Bw4c4Nq1axw4cIB169axdu1a1q5dW6y5AerWrcvhw4cLnOfRo0ekpKRoHUIIIYQQQgghxNtGSkYIIV7YrVu3ALCxsdG6bmNjo94rzLRp02jSpAkAo0ePpm3btmRkZKCvr8+kSZMYPXo0wcHBAFSuXJkpU6YwatQorVqu77//Pv369QNgypQp7Nu3j4ULF7JkyRKsrKwAsLS0xNbWVu3TvHlzrThWrFiBubk5Bw8epF27duzfv59Lly6xd+9e7O3tAZg+fToBAQFqn6+++oqcnBxWrVqFRqMBIDw8HHNzc6KiomjVqhVTp07ls88+Y8iQIWq/OnXqAHDkyBFOnDjBnTt30NPTA2D27Nns2LGDbdu2qS9ly8nJYe3atZiYmADQs2dPIiMjmTZtGmlpaSxdupS1a9eqsa1cuZJ9+/axevVqRo4ciY6ODpMmTVLnd3Jy4ujRo2zdupWgoCCMjY0xMDDg0aNHWs9ow4YNz13fs+Lj41EURX1mL2rdunWYmJjkKS9RqVIl7Ozsij1e2bJlWbRoEaVLl6Zq1aq0bduWyMhI+vfvX+S5Aezt7fnll18KnGfGjBlaz1oIIYQQQgghhHgbSUJYCPFaBQQEqLsqHRwcOH/+vHqvZs2a6r9zE3137tyhUqVK/Prrr0RHR2vtCM7OziYjI4P09HQMDQ0B8PX11ZrP19f3uS+Ru337NmPHjiUqKoo7d+6QnZ1Neno68fHxAFy8eJGKFStqJTafnefXX3/l6tWraqI2V0ZGBteuXePOnTv89ddftGjRIt8Yfv31V1JTU7G0tNS6/vDhQ65du6aeOzo6as1hZ2fHnTt3gCe7h7OysmjYsKF6X0dHh7p166q7pAEWL17MmjVriI+P5+HDh2RmZuLl5VXoM3re+vLz8OFDgJeuHb1mzRq6d++eZ5yIiIgXGq969eqULl1aPbezs+O3334r1twABgYGpKenFzhPaGgow4cPV89TUlKoWLHiC8UshBBCCCGEEEK8LpIQFkK8sNwdpbdv39bauXn79m014bhq1So1Uaijo6PV/+nz3F2oOTk5AKSmpjJp0qR8d2q+bMIxODiYe/fuMX/+fBwcHNDT08PX17fAUgj5SU1NpXbt2mzcuDHPPSsrK0qVKrwiT2pqKnZ2dmq93qeZm5ur/372mWk0GvUZFcWWLVsYMWIEc+bMwdfXFxMTE2bNmsXx48efG19h68tPuXLlAEhKSiqwzfMcPnyY2NhYvvrqqxfqn5+iPsPnzZ2YmFjouvT09NTd3kIIIYQQQgghxNtKEsJCiBfm5OSEra0tkZGRagI4JSWF48ePM3DgQADKly//QmPXqlWL2NhYrZq7+Tl27Bi9evXSOvf29gZAV1cXeLKz+GnR0dEsWbKENm3aAE9ennb37l31vru7O3/88QcJCQlqovvYsWN54vvqq6+wtrbG1NQ039gcHR2JjIykWbNm+a7v1q1blClTBkdHx0LXWJAqVaqgq6tLdHQ0Dg4OwJPaxidPnmTo0KHqWhs0aMDHH3+s9nt2h6+urm6eZ1SU9eUXj6mpKRcuXMDV1fWF1rR69Wpq166Np6fnC/V/Gc+b+9y5c+qLCYUQQgghhBBCiH8qSQgLIQqUmprK1atX1fPr168TExODhYUFlSpVQqPRMHToUKZOnYqLiwtOTk6MGzcOe3t7Onbs+FJzjx8/nnbt2lGpUiXee+89SpUqxa+//sq5c+eYOnWq2u7rr7/Gx8eHRo0asXHjRk6cOMHq1asBsLa2xsDAgD179lChQgX09fUxMzPDxcWF9evX4+PjQ0pKCiNHjsTAwEAd08/PD1dXV4KDg5k1axYpKSmMGTNGK77u3bsza9YsOnTowOTJk6lQoQI3btzg22+/ZdSoUVSoUIGJEycyYMAArK2tCQgI4MGDB0RHR/Ppp5/i5+eHr68vHTt25Msvv8TV1ZW//vqL3bt306lTpyK9mM3IyIiBAwcycuRI9TP58ssvSU9PV1+K5uLiQkREBHv37sXJyYn169dz8uRJnJyc1HEcHR3Zu3cvsbGxWFpaYmZmVqT1PatUqVL4+flx5MgRrc//ed+jXCkpKXz99dfMmTMn3/X26tWL8uXLM2PGDPVabnmQ1NRU/v77b2JiYtDV1aVatWrPfX5Pe97c6enpnD59munTpxdrXCGEeNvEzWxb0iEIIYQQQogSVvjfNAsh/tNOnTqFt7e3uuN2+PDheHt7M378eLXNqFGj+PTTT/nwww+pU6cOqamp7Nmz56XLOvj7+7Nr1y5+/PFH6tSpQ/369Zk3b566EzbXpEmT2LJlCzVr1iQiIoLNmzerycAyZcqwYMECli9fjr29PR06dACe7ARNSkqiVq1a9OzZk8GDB2Ntba2OWapUKbZv387Dhw+pW7cu/fr106plDGBoaMihQ4eoVKkSnTt3xt3dnb59+5KRkaHuqA0ODiYsLIwlS5ZQvXp12rVrx5UrV4AnZQu+//573nnnHXr37o2rqytdunThxo0beV7SV5iZM2fy7rvv0rNnT2rVqsXVq1fZu3cvZcuWBeCjjz6ic+fOfPDBB9SrV4979+5p7RYG6N+/P25ubvj4+GBlZUV0dHSR1peffv36sWXLFq2SDEX5HsGT8haKotC1a9d8x46PjychIUHrWu64p0+fZtOmTXh7e6s7v4vjeXN/9913VKpUicaNGxd7bCGEEEIIIYQQ4m2iURRFKekghBDiRWg0GrZv3/7Su5HFq6MoCvXq1WPYsGEFJlf/ierXr8/gwYPp1q1bkfukpKRgZmZGcnJykctuCCGEEEIIIYQQL6qoP4fKDmEhhBCvjEajYcWKFTx+/LikQ3ll7t69S+fOnf9VCW4hhBBCCCGEEP9dUkNYCCHEK+Xl5aW+ZPDfoFy5cowaNaqkwxBCCCGEEEIIIV4J2SEshHglHB0dCQsLU881Gg07dux4pXOEhIRolYdQFKXY5SKioqLQaDTcv3//lcb2rLi4ODQajfrSs7ddZmYmzs7O/PzzzyUdylvnwoULVKhQgbS0tJIORQghhBBCCCGEeGmSEBbiX+LQoUMEBgZib29f5GTst99+S8uWLbGyssLU1BRfX1/27t37SuJJSEggICDglYz1KjVo0ICEhATMzMwAWLt2Lebm5iUa09WrV+nTpw+VKlVCT0+P8uXL06JFCzZu3KhVekGj0aiHmZkZDRs25KefftIa69atW3z66adUrlwZPT09KlasSGBgIJGRkYXGsGzZMpycnGjQoIF6bdq0aTRo0ABDQ8NCn9HatWupWbMm+vr6WFtb88knnzx3zYsXL8bR0RF9fX3q1avHiRMn8m3n5OTE/v37ycjIICQkBA8PD8qUKVPgLwIePXrEmDFjcHBwQE9PD0dHR9asWVNoLBkZGXzyySdYWlpibGzMu+++y+3bt9X71apVo379+sydO/e56xJCCCGEEEIIId52UjJCiH+JtLQ0PD096dOnD507dy5Sn0OHDtGyZUumT5+Oubk54eHhBAYGcvz4cby9vV8qHltb25fq/7ro6uq+VbGdOHECPz8/qlevzuLFi6latSoAp06dYvHixdSoUQNPT0+1fXh4OK1bt+bu3buMGTOGdu3ace7cOSpXrkxcXBwNGzbE3NycWbNm4eHhQVZWFnv37uWTTz7h0qVL+cagKAqLFi1i8uTJWtczMzN5//338fX1ZfXq1fn2nTt3LnPmzGHWrFnUq1ePtLQ04uLiCl3zV199xfDhw1m2bBn16tUjLCwMf39/YmNjsba2VtudPXuWpKQkmjRpQmZmJgYGBgwePJhvvvmmwLGDgoK4ffs2q1evxtnZmYSEBHJycgqNZ9iwYezevZuvv/4aMzMzBg0aROfOnYmOjlbb9O7dm/79+xMaGkqZMvK/TiFKmuPo3SUdwj9W3My2JR2CEEIIIYQoYbJDWIh/iYCAAKZOnUqnTp2K3CcsLIxRo0ZRp04dXFxcmD59Oi4uLvzf//1fof3u3LlDYGAgBgYGODk5sXHjxjxtnt6lnFs+YcuWLTRo0AB9fX1q1KjBwYMH1fbZ2dn07dsXJycnDAwMcHNzY/78+YXG0bRpUz799FOGDh1K2bJlsbGxYeXKlaSlpdG7d29MTExwdnbmhx9+UPs8XTIiKiqK3r17k5ycrO68nThxIgBJSUn06tWLsmXLYmhoSEBAAFeuXAGeJN9NTU3Ztm2bVjw7duzAyMiIBw8eFBp3LkVRCAkJwdXVlejoaAIDA3FxccHFxYWuXbty5MgRatasqdXH3NwcW1tbatSowdKlS3n48CH79u0D4OOPP0aj0XDixAneffddXF1dqV69OsOHD+fYsWMFxnH69GmuXbtG27baSYJJkyYxbNgwPDw88u2XlJTE2LFjiYiIoFu3blSpUoWaNWvSvn37Qtc9d+5c+vfvT+/evalWrRrLli3D0NAwz07e7777jtatW6Ojo4ORkRFLly6lf//+BSb09+zZw8GDB/n+++/x8/PD0dERX19fGjZsWGAsycnJrF69mrlz59K8eXNq165NeHg4P//8s9Yza9myJYmJiVrfWSGEEEIIIYQQ4p9IEsJCCFVOTg4PHjzAwsKi0HYhISH88ccfHDhwgG3btrFkyRLu3Lnz3PFHjhzJZ599xi+//IKvry+BgYHcu3dPnbtChQp8/fXXXLhwgfHjx/O///2PrVu3FjrmunXrKFeuHCdOnODTTz9l4MCBvP/++zRo0IAzZ87QqlUrevbsSXp6ep6+DRo0ICwsDFNTUxISEkhISGDEiBHqGk+dOsXOnTs5evQoiqLQpk0bsrKyMDIyokuXLoSHh2uNFx4eznvvvYeJiclznwVATEwMFy9eZMSIEZQqlf9/jjUaTYH9DQwMgCc7eRMTE9mzZw+ffPIJRkZGedoWVvLh8OHDuLq6FjnuXPv27SMnJ4ebN2/i7u5OhQoVCAoK4o8//sizhrVr16qxnj59Gj8/P/V+qVKl8PPz4+jRo1r9du7cSYcOHYocz86dO/Hx8eHLL7+kfPnyuLq6MmLECB4+fKi2yf2FQO4u5tOnT5OVlaUVT9WqValUqZJWPLq6unh5eXH48OEC53/06BEpKSlahxBCCCGEEEII8baRhLAQQjV79mxSU1MJCgoqsM3ly5f54YcfWLlyJfXr16d27dqsXr1aK+lWkEGDBvHuu+/i7u7O0qVLMTMzU0sR6OjoMGnSJHx8fHBycqJ79+707t37uQlhT09Pxo4di4uLC6Ghoejr61OuXDn69++Pi4sL48eP5969e5w9ezZPX11dXczMzNBoNNja2mJra4uxsTFXrlxh586drFq1isaNG+Pp6cnGjRu5efOmuuu5X79+7N27l4SEBODJrunvv/+ePn36PPc5PP0sAdzc3NRrd+7cwdjYWD2WLFmSb9/09HTGjh1L6dKladKkCVevXkVRFLXkRHHcuHEDe3v7Yvf7/fffycnJYfr06YSFhbFt2zYSExNp2bIlmZmZajs3Nze1ZvPdu3fJzs7GxsZGaywbGxtu3bqlnt+8eZOzZ88Wqw7177//zpEjRzh37hzbt29XY/r444/VNoaGhri5uaGjowM8qbmsq6ubJ2H+bDwA9vb23Lhxo8D5Z8yYgZmZmXpUrFixyLELIYQQQgghhBBviiSEhRAAbNq0iUmTJrF161a1juvGjRu1kpOHDx/m4sWLlClThtq1a6t9q1atWqQXs/n6+qr/LlOmDD4+Ply8eFG9tnjxYmrXro2VlRXGxsasWLGC+Pj4Qsd8uqRC6dKlsbS01CpxkJt4LMoO5ly5a6xXr556zdLSEjc3NzXeunXrUr16ddatWwfAhg0bcHBw4J133sl3zOrVq6vPsbAkp6WlJTExMcTExGBubq6VWAXo2rUrxsbGmJiY8M0337B69Wpq1qyJoihFXt+zHj58iL6+frH75eTkkJWVxYIFC/D396d+/fps3ryZK1eucODAAbXdpUuXilXKBJ7s9m3UqFGxXviXk5ODRqNh48aN1K1blzZt2jB37lzWrVun/sKibt26XLp0ifLlyxcrHniyIzu/nea5QkNDSU5OVo9nd0oLIYQQQgghhBBvA3kzjhCCLVu20K9fP77++mutP51v3769VlK0fPny/Pjjj68thhEjRjBnzhx8fX0xMTFh1qxZHD9+vNB+uTs9c2k0Gq1ruSUXnvdisRfRr18/Fi9ezOjRowkPD6d3794Flnj4/vvvycrKAv5/qQcXFxcAYmNj1Zf4lS5dGmdnZ4B8X142b948/Pz8MDMzw8rKSr3u4uKCRqMp8MVxhSlXrhy//fZbsfvZ2dkBUK1aNfWalZUV5cqVKzCRX65cOUqXLs3t27e1rt++fVurNvDOnTufW4s4v3jKly+v7kYGcHd3R1EU/vzzT/V5P83W1pbMzEzu37+vlXx+Nh6AxMREqlSpUuD8enp66OnpFStmIYQQQgghhBDiTZMdwkL8x23evJnevXuzefPmPC8Vy30pW+5hYGBA1apVefz4MadPn1bbxcbGcv/+/efO9fRLunLHcHd3ByA6OpoGDRrw8ccf4+3tjbOzM9euXXs1iyyErq4u2dnZWtfc3d15/PixVjL63r17xMbGaiU/e/TowY0bN1iwYAEXLlwgODi4wHkcHBzU55i7O9Xb25uqVasye/bsIiesbW1tcXZ21koGA1hYWODv78/ixYtJS0vL06+wz8fb25tLly4Ve5dx7svaYmNj1WuJiYncvXsXBweHfPvo6upSu3ZtIiMj1Ws5OTlERkaqO8hTU1M5cOBAseoH58bz119/kZqaql67fPkypUqVokKFCvn2qV27Njo6OlrxxMbGEh8fr7WjHeDcuXNq4l4IIYQQQgghhPinkh3CQvxLpKamcvXqVfX8+vXrxMTEYGFhQaVKlfLts2nTJoKDg5k/fz716tVTa6YaGBho7bJ8mpubG61bt+ajjz5i6dKllClThqFDh6q7XguzePFiXFxccHd3Z968eSQlJak1d11cXIiIiGDv3r04OTmxfv16Tp48iZOTU3EfRbE4OjqSmppKZGQknp6eGBoa4uLiQocOHejfvz/Lly/HxMSE0aNHU758ea0kZdmyZencuTMjR46kVatWBSYdC6LRaAgPD6dly5Y0bNiQ0NBQ3N3dycrK4tChQ/z999+ULl26yOMtXryYhg0bUrduXSZPnkzNmjV5/Pgx+/btY+nSpVrlOZ7WrFkzUlNTOX/+PDVq1FCvx8fHk5iYSHx8PNnZ2cTExADg7OyMsbExrq6udOjQgSFDhrBixQpMTU0JDQ2latWqNGvWTB2natWqzJgxQy0bMXz4cIKDg/Hx8aFu3bqEhYWRlpZG7969AdizZw+urq44OjpqxXnhwgX1BXoPHjxQ4/Hy8gKgW7duTJkyhd69ezNp0iTu3r3LyJEj6dOnj/r9PHHiBL169SIyMlLdTdy3b1+GDx+OhYUFpqamfPrpp/j6+lK/fn117ri4OG7evKm1g14IUXLiZrZ9fiMhhBBCCCFE/hQhxL/CgQMHFCDPERwcrLaZMGGC4uDgoJ43adLkuX3yk5CQoLRt21bR09NTKlWqpERERCgODg7KvHnz1DaAsn37dkVRFOX69esKoGzatEmpW7euoqurq1SrVk356aef1PYZGRlKSEiIYmZmppibmysDBw5URo8erXh6eqptgoODlQ4dOmjFP2TIEK3Yno3j2Vhyn1NSUpJ6f8CAAYqlpaUCKBMmTFAURVESExOVnj17KmZmZoqBgYHi7++vXL58Oc+ziIyMVABl69atWtdz1/zLL78U9igVRVGU2NhYJTg4WKlQoYJSpkwZxczMTHnnnXeU5cuXK1lZWfmuoyB//fWX8sknnygODg6Krq6uUr58eaV9+/bKgQMHCu0XFBSkjB49WutacHBwvt+Pp8dKTk5W+vTpo5ibmysWFhZKp06dlPj4eK1xACU8PFzr2sKFC5VKlSopurq6St26dZVjx46p93r06KGMGTMmT4wODg75xvO0ixcvKn5+foqBgYFSoUIFZfjw4Up6erp6P/fzv379unrt4cOHyscff6yULVtWMTQ0VDp16qQkJCRojTt9+nTF39+/0Gf4rOTkZAVQkpOTi9VPCCGEEEIIIYR4EUX9OVSjKC/xJiIhxD9KcHAwGo2GtWvXvtF54+LicHJy4pdfflF3c/5brF+/nmHDhvHXX3+hq6tb0uG8sLNnz9KyZUuuXbuGsbFxicXx+PFjbGxs+OGHH6hbt26JxfG0zMxMXFxc2LRpk1omoyhSUlIwMzMjOTkZU1PT1xihEEIIIYQQQghR9J9DpWSEEP8RiqIQFRXFkSNHSjqUf4X09HQSEhKYOXMmH3300T86GQxQs2ZNvvjiC65fv46Hh0eJxZGYmMiwYcOoU6dOicXwrPj4eP73v/8VKxkshBBCCCGEEEK8rWSHsBDitfs37hCeOHEi06ZN45133uG7774r0V214u0kO4SFEEIIIYQQQrxJRf05tNQbjEkI8R/VtGlT5s2bpyaDNRoNO3bsAJ4kizUajfqCsKioKDQaDffv339l8z87x6swceJEsrKyiIyMLDAZ/PQ6/wneeecdNm3aVNJhvHXu3r2LtbU1f/75Z0mHIoQQQgghhBBCvDRJCAvxH3Do0CECAwOxt7cvcpLy22+/pWXLllhZWWFqaoqvry979+59JfEkJCQQEBCQ770GDRqQkJCAmZnZK5nrn+DWrVsMGTIEZ2dn9PX1sbGxoWHDhixdupT09HS1naOjIxqNBo1Gg5GREbVq1eLrr7/WGislJYUxY8ZQtWpV9PX1sbW1xc/Pj2+//ZbC/iBk586d/4+9O4+rKf//AP66Lbd90a6oRLs2EhXfGKVI1tEQ2ob5+pIhoowoWzG2mm/EGHPpS8UwzZjJ3hSJGapJylojjX0pNSmV2/n90aPz6+jeutli5v18PO7j4ZzzWd7nc289Ht597vvgwYMHmDx5Mnvu66+/xtChQ6Gqqio2SX/9+nWMHTsWWlpaUFVVxeDBg5GZmdnu/e7YsQNDhgxBt27d0K1bN7i7u+P8+fMi2w4bNgzffPMNAODzzz9H//79IScnJ3an+bFjxzBo0CCoqKhAW1sbEydORFlZmdhYGhsbER4eDhsbGygpKUFfXx/+/v64e/cu20ZLSwv+/v6Iiopq974IIYQQQgghhJAPAdUQJuQf4NmzZ7Czs0NwcDAmTJggUZ/Tp0/Dw8MDMTExUFdXh0AggI+PD3777Tc4ODi8Vjx6enpir/H5/Hav/9388ccfcHV1hbq6OmJiYmBjYwM5OTlcunQJX3/9NQwMDDBmzBi2/cqVKzFz5kxUV1dj48aN+OSTT2BgYAAXFxc8ffoUgwcPRlVVFVavXo0BAwZARkYGp06dwuLFi/HRRx9BXV1dZBxfffUVgoKCICX1/38nrK2thZeXF7y8vLBkyRKR/UaPHg1TU1P88ssvUFBQQFxcHEaPHo3S0lKx72NWVhamTJkCFxcXyMvLY926dRgxYgSKi4thYGDAtquoqEBOTg5SU1PZc8HBwfjtt99QWFjYZtybN29i7NixWLBgAfbu3YuqqiqEhoZiwoQJyM/PFxlLbW0t8vPzsWzZMtjZ2aGyshLz5s3DmDFjkJuby7YLCgpC//79sX79emhoaIgcixBCPgTGEelvdfyytd5vdXxCCCGEEPL6aIcwIf8AI0eOxOrVqzF+/HiJ+8TFxWHx4sUYMGAATE1NERMTA1NTU/z000/t9nv48CF8fHygoKCAXr16Ye/evW3atLdL+eWSEbt27YK6ujqOHTsGS0tLKCsrw8vLC/fu3WP7NDU1YeXKlejRowe7e/To0aPtxllUVISRI0dCWVkZurq6mD59Oh4/fsxer6+vx+effw4dHR3Iy8tj8ODBuHDhAoDmB/T16dMHGzZs4IxZUFAAHo+HkpKSdudubfbs2ZCRkUFubi58fX1haWkJExMTjB07Funp6fDx8eG0V1FRgZ6eHszMzLBlyxYoKCiw78kXX3yBsrIy/PbbbwgICICVlRXMzMwwc+ZMFBQUiC1t8ejRI/zyyy9t5po/fz4iIiIwaNAgkf0eP36MGzduICIiAra2tjA1NcXatWtRW1uLoqIisfe8d+9ezJ49G/b29rCwsMA333yDpqYmZGRkcNqlp6ejX79+0NXVBdCctJ4zZw5MTExEjpuXlwehUIjVq1ejd+/e6NevH8LCwlBQUIDGxkaRfdTU1HDixAn4+vrC3NwcgwYNQkJCAvLy8lBeXs62s7a2hr6+PtLS0sTeFyGEEEIIIYQQ8iGghDAhRCJNTU3466+/OtwdGRgYiD///BOZmZk4cOAAtm7diocPH77W3LW1tdiwYQP+97//4fTp0ygvL0dYWBh7PT4+Hhs3bsSGDRtQWFgIT09PjBkzBjdu3BA53tOnT/HRRx/BwcEBubm5OHr0KB48eABfX1+2zeLFi3Hw4EHs3r0b+fn56NOnDzw9PVFRUQEej4fg4GAIBALOuAKBAP/617/Qp08fie7ryZMnOH78OObMmQMlJSWRbXg8ntj+MjIykJWVRUNDA5qampCamoqpU6dCX1+/TVtlZWXIyIj+UsiZM2egqKgIS0tLieJuoampCXNzcyQlJeHZs2d48eIFtm/fDh0dHfTv359tZ2xsjOjoaLHj1NbWorGxsc1n69ChQxg7dqzE8fTv3x9SUlIQCAQQCoWoqqrC//73P7i7u0NWVhbA/9eTzsrKEjtOVVUVeDxem93UTk5OyM7OFtuvvr4e1dXVnBchhBBCCCGEEPK+oYQwIUQiGzZsQE1NDSdp+rLr16/jyJEj2LFjBwYNGoT+/ftj586dqKure625GxsbsW3bNjg6OqJfv34ICQnh7CbdsGEDwsPDMXnyZJibm2PdunWwt7dHXFycyPESEhLg4OCAmJgYWFhYwMHBAd9++y0yMzNx/fp1PHv2DImJiVi/fj1GjhwJKysr7NixAwoKCti5cyeA5sT3tWvX2Nq3jY2NSE5ORnBwsMT3VVJSAoZhYG5uzjmvpaUFZWVlKCsrIzw8XGTfhoYGxMbGoqqqCh999BEeP36MyspKWFhYSDx/i1u3bkFXV5dTLkISPB4PJ0+exO+//w4VFRXIy8tj06ZNOHr0KLp168a26927N7S0tMSOEx4eDn19fbi7u7Pn6uvrcfToUU65jI706tULx48fxxdffAE5OTmoq6vj9u3b2L9/P9tGVlYW5ubmUFRUFDnG8+fPER4ejilTprR5Iqu+vj5u3boldv7Y2Fioqamxr549e0ocOyGEEEIIIYQQ8q5QQpgQ0qHk5GSsWLEC+/fvh46ODoDmr/23JC2VlZWRnZ2NK1euQEZGhrM71MLCQmzdWkkpKiqid+/e7HH37t3ZXcfV1dW4e/cuXF1dOX1cXV1x5coVkeNdvHgRmZmZnPhbEqmlpaUoLS1FY2MjZ0xZWVk4OTmxY+rr68Pb2xvffvstAOCnn35CfX09Jk2aJHLOlvIUysrKsLa2bvd+z58/j4KCAlhbW6O+vp5zLTw8HMrKylBUVMS6deuwdu1aeHt7t/vAuI7U1dVBXl6+0/0YhsGcOXOgo6OD7OxsnD9/HuPGjYOPjw+npEdGRgZCQkJEjrF27VqkpqYiLS2NE8Mvv/wCHR2dDteqtfv372PmzJkICAjAhQsXcOrUKfD5fHz88cfs+hgYGODq1atwcnJq07+xsRG+vr5gGAaJiYltrisoKHAe8veyJUuWoKqqin39+eefEsdOCCGEEEIIIYS8K/RQOUJIu1JTUzFjxgx89913nB2cY8aMwcCBA9ljAwMDHD9+/K3E0PJ1/xY8Hu+1EqA1NTXw8fHBunXr2lzr3r07SktLJRpnxowZmD59OjZv3gyBQIBPPvlE7M7Tb775ht0p3XI/ffr0AY/Hw7Vr1zhtW2rkKigotBln0aJFCAwMZGsft5SU0NbWhrq6Oq5evSpR7K1paWmhsrKy0/1++eUX/Pzzz6isrGR3027duhUnTpzA7t27ERER0W7/DRs2YO3atTh58iRsbW051w4dOtSp3cEAsGXLFqipqeHLL79kz+3Zswc9e/bEb7/9JrYWMvD/yeBbt27hl19+abM7GGh+yJ22trbYMeTk5CAnJ9epmAkhhBBCCCGEkHeNEsKEELFSUlIQHByM1NRUeHtznxquoqICFRUVzjkLCwu8ePECeXl5GDBgAADg2rVr7APi3gZVVVXo6+sjJycHbm5u7PmcnByRu0ABoF+/fjh48CCMjY1F1tXt3bs3+Hw+cnJyYGRkBKA5YXjhwgXMnz+fbTdq1CgoKSkhMTERR48exenTp8XGaWBg0OacpqYmPDw8kJCQgLlz54qtI9yalpaWyBrFUlJSmDx5Mv73v/8hKiqqTR3hmpoayMvLi7xfBwcH3L9/H5WVlZxSDx1p2S37cqkJKSkpNDU1tdv3yy+/xJo1a3Ds2DE4OjpyrjEMg59++gl79uyROJaWeF6ORVpaGgDajaclGXzjxg1kZmZCU1NTZLuioiIMHTq0UzERQsj7pmytd8eNCCGEEELI3xqVjCDkH6CmpgYFBQUoKCgAANy8eRMFBQUoLy8X2yc5ORn+/v7YuHEjBg4ciPv37+P+/fuoqqoS28fc3BxeXl7497//jd9++w15eXmYMWOGyJ2ub9KiRYuwbt067Nu3D9euXUNERAQKCgowb948ke3nzJmDiooKTJkyBRcuXEBpaSmOHTuGoKAgCIVCKCkp4T//+Q8WLVqEo0eP4vLly5g5cyZqa2vx6aefsuNIS0sjMDAQS5YsgampKZydnTsd+9atW/HixQs4Ojpi3759uHLlCq5du4Y9e/bg6tWrbEJTEmvWrEHPnj0xcOBAJCUl4fLly7hx4wa+/fZbODg4oKamRmQ/BwcHaGlpIScnh3P+/v37KCgoQElJCQDg0qVLKCgoQEVFBQDA2dkZ3bp1Q0BAAC5evIjr169j0aJFuHnzJucPCMOHD0dCQgJ7vG7dOixbtgzffvstjI2N2c9WS3x5eXmora3F4MGDOfGUlJSgoKAA9+/fR11dHfuZbmhoAAB4e3vjwoULWLlyJW7cuIH8/HwEBQXByMgIDg4OAIA7d+7AwsKCU/v5448/Rm5uLvbu3QuhUMjG0zIu0JxszsvLw4gRIyR+PwghhBBCCCGEkPcSQwj528vMzGQAtHkFBASwbaKiohgjIyP22M3NrcM+oty7d4/x9vZm5OTkGENDQyYpKYkxMjJiNm/ezLYBwKSlpTEMwzA3b95kADC///47J9bKykqGYRhGIBAwampqnDnS0tKY1r++hEIhEx0dzRgYGDCysrKMnZ0dc+TIEfb6y3MwDMNcv36dGT9+PKOurs4oKCgwFhYWzPz585mmpiaGYRimrq6OmTt3LqOlpcXIyckxrq6uzPnz59vcb2lpKQOA+fLLL9tca32f7bl79y4TEhLC9OrVi5GVlWWUlZUZJycnZv369cyzZ8/Ydi+voyhPnz5lIiIiGFNTU4bP5zO6urqMu7s7k5aWxt6bKIsXL2YmT57MORcVFSXyMyAQCNg2Fy5cYEaMGMFoaGgwKioqzKBBg5jDhw9zxjEyMmKioqI4x6LGbWkTGRnJTJ06tU2M4j6TN2/eZNukpKQwDg4OjJKSEqOtrc2MGTOGuXLlCnu95bOQmZnJORb1amnDMAyTnJzMmJubi10/UaqqqhgATFVVVaf6EUIIIYQQQgghr0LS/4fyGOY1CnESQv42AgICwOPxsGvXrq4O5YOSnZ2N4cOH488//4Surm5Xh/PK7t+/D2tra+Tn57NlMrqKra0tIiMj4evr26VxtDZo0CB8/vnn8PPzk7hPdXU11NTUUFVVJbImMSGEEEIIIYQQ8iZJ+v9QqiFMCAHDMMjKysKZM2e6OpQPRn19PR49eoTo6GhMmjTpg04GA4Cenh527tyJ8vLyLk0INzQ0YOLEiRg5cmSXxfCyx48fY8KECZgyZUpXh0IIIYQQQgghhLw2qiFMyD9ERkYGLC0tIRQK21zj8Xi4desWevbs2QWRtZWVlQUej/dWH0b3ulJSUmBkZISnT5/iyy+/fO3xoqOjYW9vzx5HRERg7ty5rz1uZ4wbNw5Dhgx5pb4NDQ3o06cPzp49+1ox8Pl8REVFtXlg4dvW0NAAY2Nj5ObmtrmmpaWFxYsXg8fjvdOYCCGEEEIIIYSQt4ESwoR8QE6fPg0fHx/o6+uDx+Phhx9+kLjv4sWLERkZyT6k7N69e/Dz84OZmRmkpKQwf/78txN0F9i1axfU1dXf6hyBgYEQCoXIy8uDgYHBGx8/LCwMu3fvxh9//CFR+5KSEgQHB8PQ0BBycnIwMDDA8OHDsXfvXrx48YJtx+Px2JeamhpcXV3xyy+/cO6rdZuWl5eXV7vzb9u2Db169YKLi4vEc4myZs0auLi4QFFRUex7eOHCBQwfPhzq6uro1q0bPD09cfHixQ7XaMuWLTA2Noa8vDwGDhzIPlgOaE5Eh4WFITw8XGTfoUOHdjg+IYQQQgghhBDyIaCSEYR8QJ49ewY7OzsEBwdjwoQJEvc7c+YMSktLMXHiRPZcfX09tLW1ERkZic2bN7+NcP8RGhoawOfz3/i4Wlpa8PT0RGJiItavX99u2/Pnz8Pd3R3W1tbYsmULLCwsAAC5ubnYsmUL+vbtCzs7O7a9QCCAl5cXHj9+jKVLl2L06NEoKiqCiYkJAMDLywsCgYAzh5ycnNj5GYZBQkICVq5c2eZaR3O9rKGhAZMmTYKzszN27tzZ5npNTQ28vLwwZswYbN26FS9evEBUVBQ8PT3x559/QlZWVuS4+/btw4IFC7Bt2zYMHDgQcXFx8PT0xLVr16CjowMAmDp1KhYuXIji4mJYW1vj+vXryM/Px+TJk9lx8vPzcffuXYwePVrsehDyITKOSO/qEMg7UrbWu6tDIIQQQgghXYx2CBPyARk5ciRWr16N8ePHd6pfamoqPDw8IC8vz54zNjZGfHw8/P39oaamJvFYTU1NiI2NRa9evaCgoAA7OzscOHCAvd5S7iEjIwOOjo5QVFSEi4sLrl27BgAoKyuDlJRUm6/mx8XFwcjICE1NTRLFcfHiRQwbNgwqKipQVVVF//79kZubi6ysLAQFBaGqqordnRodHQ2gOQkeFhYGAwMDKCkpYeDAgcjKymLHfPLkCaZMmQIDAwMoKirCxsYGKSkpnHmHDh2KkJAQzJ8/n03aAsCpU6fg5OQEOTk5dO/eHREREezO3KSkJGhqaqK+vp4z1rhx4zB9+nSx9+jj44PU1NR214FhGAQGBsLMzAw5OTnw8fGBqakpTE1NMWXKFJw5cwa2tracPurq6tDT00Pfvn2RmJiIuro6nDhxgr0uJycHPT09zqtbt25iY8jLy0NpaSm8vdsmGTqa62UrVqxAaGgobGxsRF6/evUqKioqsHLlSpibm8Pa2hpRUVF48OABbt26JXbcTZs2YebMmQgKCoKVlRW2bdsGRUVFfPvtt2ybbt26wdXVlV1zLS0tZGZmwtfXF0+fPsXy5cuxZMkSsclsQgghhBBCCCHkQ0AJYUL+AbKzs+Ho6PhGxoqNjUVSUhK2bduG4uJihIaGYtq0aTh16hSn3dKlS7Fx40bk5uZCRkYGwcHBAJoT0e7u7m12oAoEAgQGBkJKSrJfS1OnTkWPHj1w4cIF5OXlISIiArKysnBxcUFcXBxUVVVx79493Lt3D2FhYQCAkJAQnDt3DqmpqSgsLMSkSZPg5eWFGzduAACeP3+O/v37Iz09HUVFRfjss88wffp0TmkBANi9ezf4fD5ycnKwbds23LlzB6NGjcKAAQNw8eJFJCYmYufOnVi9ejUAYNKkSRAKhTh06BA7xsOHD5Gens6uiyhOTk64ffs2ysrKxLYpKCjAlStXEBYWJnbt2qt9q6CgAKB5Z+6rys7OhpmZWYd1f9/EXObm5tDU1MTOnTvR0NCAuro67Ny5E5aWljA2Nmbb8Xg87Nq1i50vLy8P7u7u7HUpKSm4u7vj3LlznPGdnJyQnZ0NANDQ0MD27dvh7u6OixcvorS0FMeOHYOVldUrx08IIYQQQgghhHQ1SggT8g9w69Yt6Ovrv/Y49fX1iImJwbfffgtPT0+YmJggMDAQ06ZNw/bt2zlt16xZAzc3N1hZWSEiIgJnz57F8+fPAQAzZsxASkoKu2M2Pz8fly5dQlBQkMSxlJeXw93dHRYWFjA1NcWkSZNgZ2cHPp8PNTU18Hg8dnersrIyysvLIRAI8N1332HIkCHo3bs3wsLCMHjwYDY5bWBggLCwMNjb28PExARz586Fl5cX9u/fz5nb1NQUX375JczNzWFubo6tW7eiZ8+eSEhIgIWFBcaNG4cVK1Zg48aNaGpqgoKCAvz8/DhJ8D179sDQ0LDd2rQt71l7O1+vX78OoDlR2uLhw4dQVlZmX1u3bhXZt7a2lq0r7ebmxp7/+eefOf2VlZURExMjNgZJPl/i5uosFRUVZGVlYc+ePVBQUICysjKOHj2KI0eOQEbm/6sgmZubszvfHz9+DKFQCF1dXc5Yurq6uH//Puecvr4+u96VlZWYPXs2Tp48CTs7O/Tu3RsjR45kd7u/rL6+HtXV1ZwXIYQQQgghhBDyvqGEMCF/IzExMZwkXnl5OQCgrq6OUy5CEtnZ2Zyx9u7di5KSEtTW1sLDw4NzLSkpCaWlpZz+rcsUdO/eHUBzohJoLpUgLS2NtLQ0AM0PgRs2bBhnh2drreeaNWsWAGDBggWYMWMG3N3dsXbt2jbzv+zSpUsQCoUwMzPjjHfq1Cm2r1AoxKpVq2BjYwMNDQ0oKyvj2LFj7Dq26N+/P+f4ypUrcHZ25uzEdXV1RU1NDW7fvg0AmDlzJo4fP447d+6w99zyADdxWnbU1tbWAgCsra3ZuEeOHCm2n6amJgoKClBQUAB1dfU2O3KnTJkCZWVlqKio4ODBg9i5cyfn/Ro2bBjbv+XVsu6itPf5EjfXrFmzOO+DpOrq6vDpp5/C1dUVv/76K3JyctC3b194e3ujrq6ObXf16tVOl1YBmte8Zb0fPnyIIUOGYP/+/VBXV8fKlSuxZs0aNgn/stjYWKipqbGvnj17dnp+QgghhBBCCCHkbaOHyhHyNzJr1iz4+vqyxy27NrW0tFBZWdmpsRwdHVFQUMAe6+rq4vLlywCA9PR0GBgYcNq//NCx1g/3akl6ttQH5vP58Pf3h0AgwIQJE5CcnIz4+HixsbSOQ1VVFQAQHR0NPz8/pKen48iRI4iKikJqaqrYJGBNTQ2kpaWRl5cHaWlpzrWWhOT69esRHx+PuLg42NjYQElJCfPnz2+TUFVSUhIbqzgODg6ws7NDUlISRowYgeLiYqSnt/8Qp4qKCgCAtrY2AODw4cNobGwE8P/JYlNTUwDAtWvX4ODgAACQlpZGnz59AICza7bF5s2b4e7uDjU1NXbsl++vpb8ktLS0cOnSJZHXxM21cuVKtpRHZyQnJ6OsrAznzp1jS2QkJyejW7du+PHHHzkPgGsdn7S0NB48eMA5/+DBA+jp6XHOVVRUsHG27ABvrV+/fujXr5/I2JYsWYIFCxawx9XV1ZQUJoQQQgghhBDy3qGEMCF/IxoaGtDQ0Ghz3sHBgU3mSkpBQaFNUtDKygpycnIoLy9/ra/9A81lI/r27YutW7fixYsXmDBhgti24pKTZmZmMDMzQ2hoKKZMmQKBQIDx48eDz+dDKBRy2jo4OEAoFLK7PkXJycnB2LFjMW3aNADNCezr1693WDPW0tISBw8eBMMwbPI7JycHKioq6NGjB+ee4+LicOfOHbi7u3eYLCwqKoKsrCysra0BAEZGRm3aODg4wMLCAhs2bICvr69ENZj19PQ6lfDtiIODAxITEzn339FcOjo60NHR6fRctbW1kJKS4szTcizugYR8Ph/9+/dHRkYGxo0bB6D5vc3IyEBISAinbVFREZtYb631wwfFkZOTa/OHEUIIIYQQQggh5H1DCWFCPiA1NTUoKSlhj2/evImCggJoaGjA0NBQbD9PT0/s3r27zfmWnbc1NTV49OgRCgoKwOfzxSZAVVRUEBYWhtDQUDQ1NWHw4MGoqqpCTk4OVFVVERAQIPG9WFpaYtCgQQgPD0dwcDC741USdXV1WLRoET7++GP06tULt2/fxoULFzBx4kQAzQ+uq6mpQUZGBuzs7KCoqAgzMzNMnToV/v7+2LhxIxwcHPDo0SNkmLqa7QABAABJREFUZGTA1tYW3t7eMDU1xYEDB3D27Fl069YNmzZtwoMHDzpMCM+ePRtxcXGYO3cuQkJCcO3aNURFRWHBggWcBK2fnx/CwsKwY8cOJCUldXif2dnZGDJkSLtrw+PxIBAI4OHhAVdXVyxZsgSWlpZobGzE6dOn8ejRozY7ojtSX1/fpraujIwMtLS0RLYfNmwYampqUFxcjL59+3ZqrpeVl5ejoqIC5eXlEAqF7Ge0T58+UFZWhoeHBxYtWoQ5c+Zg7ty5aGpqwtq1ayEjI4Nhw4ax41hYWCA2NpbdMb5gwQIEBATA0dERTk5OiIuLw7Nnz9rUrc7OzsaqVate6x4I+RCVrfXu6hAIIYQQQggh7wpDCPlgZGZmMgDavAICAtrt9+TJE0ZeXp65evUq57yosYyMjNodq6mpiYmLi2PMzc0ZWVlZRltbm/H09GROnTrFibGyspLt8/vvvzMAmJs3b3LG2rlzJwOAOX/+vMj7bD1Ga/X19czkyZOZnj17Mnw+n9HX12dCQkKYuro6ts2sWbMYTU1NBgATFRXFMAzDNDQ0MMuXL2eMjY0ZWVlZpnv37sz48eOZwsJCdp3Gjh3LKCsrMzo6OkxkZCTj7+/PjB07lh3Xzc2NmTdvXpuYsrKymAEDBjB8Pp/R09NjwsPDmcbGxjbtpk+fzmhoaDDPnz/nnI+KimLs7Ow458zNzZmUlBSRa/Cya9euMQEBAUyPHj0YGRkZRk1NjfnXv/7FbN++nRMHACYtLU3sOAEBASI/F+bm5u3O7+vry0RERHDOdTRXZ+bPzMxk2xw/fpxxdXVl1NTUmG7dujEfffQRc+7cuTZzCwQCzrn//ve/jKGhIcPn8xknJyfm119/5Vw/e/Yso66uztTW1nYqZnGqqqoYAExVVdUbGY8QQgghhBBCCGmPpP8P5TEMw7yLxDMhpGstWrQI1dXV2L59e1eHwlq1ahW+++47FBYWdnUo78zw4cNhbW2Nr776qt12R44cwcKFC1FYWCiyDvD7prCwEB4eHigtLe3UQ+LeJ5988gns7OzwxRdfvJHxqquroaamhqqqKrb2NSGEEEIIIYQQ8rZI+v/QjotNEkL+FpYuXQojIyOxdVbfpZqaGhQVFSEhIQFz587t6nDeicrKSqSlpSErKwtz5szpsP2zZ88gEAg+iGQwANja2mLdunW4efNmV4fyShoaGmBjY4PQ0NCuDoUQQgghhBBCCHmraIcwIeSdCwwMREpKCsaNG4fk5ORO17j9EBkbG6OyshLLli1DWFhYV4dD3gHaIUwIIYQQQggh5F2iHcLkg5KRkQFLS0sIhcKuDqVDWVlZ4PF4ePr0aVeH8s5ER0fD3t6ePY6IiHitnb27du1CfX099u3b98rJYB6Phx9++OGVY3gVxsbGiIuLe6W+ZWVlqKqqemfJ4OnTpyMmJuadzPVPMGjQIBw8eLCrwyCEEEIIIYQQQl4bJYTJG3P69Gn4+PhAX1+/08m6xYsXIzIykk0O3rt3D35+fjAzM4OUlBTmz5//doLuArt27YK6unpXh/FawsLCsHv3bvzxxx/ttsvKysLYsWPRvXt3KCkpwd7eHnv37n1HUXad6upqLFu2DNbW1lBQUICmpiYGDBiAL7/8EpWVlWy7oUOHgsfjgcfjQV5eHlZWVti6dSt7fdeuXez11i95efl257948SIOHz6Mzz//XOK5RPn+++8xYsQIaGpqgsfjoaCgoE2b+/fvY/r06dDT04OSkhL69esnUeI0KysL/fr1g5ycHPr06YNdu3aJbBcUFITIyEgAwJo1a+Di4gJFRUWxP0MXLlzA8OHDoa6ujm7dusHT0xMXL15sNxZJfndFRkYiIiLivSi5QgghhBBCCCGEvI4Pozgl+SA8e/YMdnZ2CA4OxoQJEyTud+bMGZSWlmLixInsufr6emhrayMyMhKbN29+G+H+IzQ0NIDP57/xcbW0tODp6YnExESsX79ebLuzZ8/C1tYW4eHh0NXVxc8//wx/f3+oqalh9OjRbzyu90FFRQUGDx6M6upqrFq1Cv3794eamhquXbsGgUCA5ORkTg3hmTNnYuXKlaitrUVSUhLmzJmDbt26YcqUKQAAVVVVXLt2jTMHj8drN4b//ve/mDRpUpuHu3U018uePXuGwYMHw9fXFzNnzhTZxt/fH0+fPsWhQ4egpaWF5ORk+Pr6Ijc3Fw4ODiL73Lx5E97e3pg1axb27t2LjIwMzJgxA927d4enpyfbTigU4ueff0Z6ejqA5s/zpEmT4OzsjJ07d7YZt6amBl5eXhgzZgy2bt2KFy9eICoqCp6envjzzz8hKysr9j47+t01cuRIzJgxA0eOHIG3t7fINoQQ8iEwjkjv6hAkUraWftcSQgghhLwttEOYvDEjR47E6tWrMX78+E71S01NhYeHB2fXo7GxMeLj49nkoaSampoQGxuLXr16QUFBAXZ2djhw4AB7vaXcQ0ZGBhwdHaGoqAgXFxc24VZWVgYpKSnk5uZyxo2Li+vUA9kuXryIYcOGQUVFBaqqqujfvz9yc3ORlZWFoKAgVFVVsbs1o6OjATQnwcPCwmBgYAAlJSUMHDgQWVlZ7JhPnjzBlClTYGBgAEVFRdjY2CAlJYUz79ChQxESEoL58+ezSVsAOHXqFJycnCAnJ4fu3bsjIiICL168AAAkJSVBU1MT9fX1nLHGjRuH6dOni71HHx8fpKamtrsOX3zxBVatWgUXFxf07t0b8+bNg5eXF77//vsO1zAxMRG9e/cGn8+Hubk5/ve//7Xb/s8//4Svry/U1dWhoaGBsWPHoqysjL3e1NSElStXokePHpCTk4O9vT2OHj3KXv/oo48QEhLCGfPRo0fg8/nIyMjoMN7W91xeXo7z588jKCgItra2MDIywogRI5CSkoLZs2dz2isqKkJPTw8mJiaIjo6GqakpDh06xF7n8XjQ09PjvHR1dcXOLxQKceDAAfj4+LS51tFcL5s+fTqWL18Od3d3sW3Onj2LuXPnwsnJCSYmJoiMjIS6ujry8vLE9tm2bRt69eqFjRs3wtLSEiEhIfj444/b/PHn7NmzkJWVxYABAwAAK1asQGhoKGxsbESOe/XqVVRUVGDlypUwNzeHtbU1oqKi8ODBA9y6dUtsPJL87pKWlsaoUaM6/MwTQgghhBBCCCHvO0oIky6XnZ0NR0fHNzJWbGwskpKSsG3bNhQXFyM0NBTTpk3DqVOnOO2WLl2KjRs3Ijc3FzIyMggODgbQnIh2d3eHQCDgtBcIBAgMDISUlGQ/MlOnTkWPHj1w4cIF5OXlISIiArKysnBxcUFcXBxUVVVx79493Lt3j60pGxISgnPnziE1NRWFhYWYNGkSvLy8cOPGDQDA8+fP0b9/f6Snp6OoqAifffYZpk+fjvPnz3Pm3r17N/h8PnJycrBt2zbcuXMHo0aNwoABA3Dx4kUkJiZi586dWL16NQBg0qRJEAqFnMTgw4cPkZ6ezq6LKE5OTrh9+zYn6SqJqqoqaGhotNsmLS0N8+bNw8KFC1FUVIR///vfCAoKQmZmpsj2jY2N8PT0hIqKCrKzs5GTkwNlZWV4eXmhoaEBABAfH4+NGzdiw4YNKCwshKenJ8aMGcOu74wZM5CcnMxJjO/ZswcGBgb46KOPJLq3pqYm7Nu3D9OmTYO+vr7INh3t7lVQUGBjfhWFhYWoqqqS6GfqdecCABcXF+zbtw8VFRVoampCamoqnj9/jqFDh7Jthg4disDAQPb43LlzbZLMnp6eOHfuHOfcoUOH4OPj0+GatTA3N4empiZ27tyJhoYG1NXVYefOnbC0tISxsTHbjsfjiS1R0R4nJydkZ2d3uh8hhBBCCCGEEPI+oYQw6XK3bt0SmzzrjPr6esTExODbb7+Fp6cnTExMEBgYiGnTpmH79u2ctmvWrIGbmxusrKwQERGBs2fP4vnz5wCaE4MpKSlsYjA/Px+XLl1CUFCQxLGUl5fD3d0dFhYWMDU1xaRJk2BnZwc+nw81NTXOrk9lZWWUl5dDIBDgu+++w5AhQ9C7d2+EhYVh8ODBbHLawMAAYWFhsLe3h4mJCebOnQsvLy/s37+fM7epqSm+/PJLmJubw9zcHFu3bkXPnj2RkJAACwsLjBs3DitWrMDGjRvR1NQEBQUF+Pn5cZLge/bsgaGhISep97KW96y9nZcv279/Py5cuNDhWm7YsAGBgYGYPXs2zMzMsGDBAkyYMAEbNmwQ2X7fvn1oamrCN998AxsbG1haWkIgEKC8vJzdZb1hwwaEh4dj8uTJMDc3x7p162Bvb88+JK6lVMCPP/7Ijrtr1y4EBgZKnJB89OgRnj59CnNzc875/v37Q1lZGcrKymLLMwiFQuzZsweFhYWcBHRVVRXbt+U1cuRIsTHcunUL0tLS0NHREdtG3FyvYv/+/WhsbISmpibk5OTw73//G2lpaejTpw/bxtDQEN27d2eP79+/32aXs66uLqqrq1FXV8ee+/HHHzFmzBiJY1FRUUFWVhb27NkDBQUFKCsr4+jRozhy5AhkZP6/QpK5uXmnvnnQQl9fH3/++afYbwrU19ejurqa8yKEEEIIIYQQQt43lBAm70xMTAwnqVVeXg4AqKur6/AhWS/Lzs7mjLV3716UlJSgtrYWHh4enGtJSUkoLS3l9Le1tWX/3ZKoevjwIYDmUgnS0tJIS0sD0JwUHDZsGGeHYWut55o1axYAYMGCBZgxYwbc3d2xdu3aNvO/7NKlSxAKhTAzM+OMd+rUKbavUCjEqlWrYGNjAw0NDSgrK+PYsWPsOrbo378/5/jKlStwdnbmJDVdXV1RU1OD27dvA2iuLXv8+HHcuXOHveeOEqEKCgoAgNraWgCAtbV1uwnLzMxMBAUFYceOHbC2tgYg+n1sidnV1ZXT39XVFVeuXBEZy8WLF1FSUgIVFRV2LA0NDTx//hylpaWorq7G3bt32x1TXl4e06dPx7fffgug+Q8BRUVFnJ2trc2aNYsTe3vS0tJQUFAAT09PTsITALZu3QplZWUoKChg5syZCA0NxX/+8x/2uoqKCgoKCjivb775RuxcdXV1kJOTE/neiZtr7969nHvpzC7YZcuW4enTpzh58iRyc3OxYMEC+Pr64tKlS2ybpKQkxMbGSjwm0PwZuHv3LoYPHy5xn7q6Onz66adwdXXFr7/+ipycHPTt2xfe3t6cdb969WqnS9sAzZ/5pqamNuVVWsTGxkJNTY199ezZs9NzEEIIIYQQQgghbxs9VI68M7NmzYKvry973LLDVEtLC5WVlZ0ay9HREQUFBeyxrq4uLl++DABIT0+HgYEBp72cnBznuPXDpVoSZy27/vh8Pvz9/SEQCDBhwgQkJycjPj5ebCyt41BVVQUAREdHw8/PD+np6Thy5AiioqKQmpoqNglVU1MDaWlp5OXlQVpamnOtJdm4fv16xMfHIy4uDjY2NlBSUsL8+fPbfOVfSUlJbKziODg4wM7ODklJSRgxYgSKi4vZB3mJU1FRAQDQ1tYGABw+fBiNjY0A/j9Z3OLUqVPw8fHB5s2b4e/vz54X9T6+ipqaGvTv359NKLfWEp8kZsyYAXt7e9y+fRsCgQAfffQRjIyMRLZduXIlW+6j9Vzq6uptHgJnaGgIoDm5+/TpU861qVOnYunSpVBQUED37t3blCWRkpLi7LbtiJaWFmpra0U+UFDcXGPGjMHAgQPZdi///IhTWlqKhIQEFBUVsUl+Ozs7ZGdnY8uWLdi2bZvIfnp6enjw4AHn3IMHD6Cqqsp+dg4dOtSmtnhHkpOTUVZWhnPnzrH3lpycjG7duuHHH3/E5MmTJR5LlIqKCigpKbX5fLdYsmQJFixYwB5XV1dTUpgQQgghhBBCyHuHEsLkndHQ0BBZO9bBwYFN5kpKQUGhTZLMysoKcnJyKC8vh5ub22vFOmPGDPTt2xdbt27Fixcv2HICoohL1pmZmcHMzAyhoaGYMmUKBAIBxo8fDz6fD6FQyGnr4OAAoVCIhw8fYsiQISLHy8nJwdixYzFt2jQAzQns69evw8rKqt17sbS0xMGDB8EwDJv8zsnJgYqKCnr06MG557i4ONy5cwfu7u4dJrKKioogKyvLJgLFJU6zsrIwevRorFu3Dp999hnnmqj3sSXmnJwcBAQEcO5f3L3269cP+/btg46ODpuUf5m+vj5ycnI4n42cnBw4OTmxxzY2NnB0dMSOHTuQnJyMhIQEMXcP6OjotCnLICUlBV9fX+zZswfLly+XqBSKmppapxK+HbG3twcAXL58mf13R3OpqKhARUWl03O17A5/OYktLS3d7gMYnZ2dcfjwYc65EydOwNnZmT3+8ccf23xeJIlHSkqKszu65VjSB0K2p6ioCA4ODmKvy8nJtfnjEyGEEEIIIYQQ8r6hhDB5Y2pqalBSUsIe37x5EwUFBdDQ0GB3SIri6emJ3bt3tznfsnO0pqYGjx49QkFBAfh8vtikoIqKCsLCwhAaGoqmpiYMHjwYVVVVyMnJgaqqKie52BFLS0sMGjQI4eHhCA4OFrsjUJS6ujosWrQIH3/8MXr16oXbt2/jwoULmDhxIoDmB9fV1NQgIyMDdnZ2UFRUhJmZGaZOnQp/f39s3LgRDg4OePToETIyMmBrawtvb2+YmpriwIEDOHv2LLp164ZNmzbhwYMHHSaEZ8+ejbi4OMydOxchISG4du0aoqKisGDBAk4iz8/PD2FhYdixYweSkpI6vM/s7GwMGTKk3bXJzMzE6NGjMW/ePEycOBH3798H0LwLu70Hyy1atAi+vr5wcHCAu7s7fvrpJ3z//fc4efKkyPZTp07F+vXrMXbsWKxcuRI9evTArVu38P3332Px4sXo0aMHFi1ahKioKPTu3Rv29vYQCAQoKChos6t4xowZCAkJgZKS0iuVFYiJiUFWVhacnJywcuVKODo6QklJCYWFhTh37hz69u3bqfEYhmHXrTUdHR2RDznU1tZGv379cObMmTYJ4c6qqKhAeXk57t69CwDszueW+tcWFhbo06cP/v3vf2PDhg3Q1NTEDz/8gBMnTuDnn39mx/H394eBgQFbNmLWrFlISEjA4sWLERwcjF9++QX79+9nd6U/fPgQubm5nAcdAs21uVtiEgqF7O+IPn36QFlZGR4eHli0aBHmzJmDuXPnoqmpCWvXroWMjAyGDRvGjmNhYYHY2Fj2/ZX0d1d2djZGjBjxWmtKCCFdrWytd1eHQAghhBBCuhpDyBuSmZnJAGjzCggIaLffkydPGHl5eebq1auc86LGMjIyanespqYmJi4ujjE3N2dkZWUZbW1txtPTkzl16hQnxsrKSrbP77//zgBgbt68yRlr586dDADm/PnzIu+z9Rit1dfXM5MnT2Z69uzJ8Pl8Rl9fnwkJCWHq6urYNrNmzWI0NTUZAExUVBTDMAzT0NDALF++nDE2NmZkZWWZ7t27M+PHj2cKCwvZdRo7diyjrKzM6OjoMJGRkYy/vz8zduxYdlw3Nzdm3rx5bWLKyspiBgwYwPD5fEZPT48JDw9nGhsb27SbPn06o6GhwTx//pxzPioqirGzs+OcMzc3Z1JSUkSuQYuAgACR76Obm1u7/RiGYbZu3cqYmJgwsrKyjJmZGZOUlMS5DoBJS0tjj+/du8f4+/szWlpajJycHGNiYsLMnDmTqaqqYhiGYYRCIRMdHc0YGBgwsrKyjJ2dHXPkyJE28/7111+MoqIiM3v27DbXjIyMmM2bN3cY+9OnT5klS5YwFhYWjJycHKOgoMDY2toyy5YtY548ecK2E/d+tRAIBCLXDwBz7949sf22bt3KDBo0iHOuo7k6M3/LZ5ZhGOb69evMhAkTGB0dHUZRUZGxtbVt8165ubm1+T2QmZnJ2NvbM3w+nzExMWEEAgF77ZtvvmFcXV3bxCPu85SZmcm2OX78OOPq6sqoqakx3bp1Yz766CPm3LlznHEAcOaT5HfX7du3GVlZWebPP/+UeP2qqqoYAOxnkBBCCCGEEEIIeZsk/X8oj2EY5q1kmgnphEWLFqG6uhrbt2/v6lBYq1atwnfffYfCwsKuDuWdGT58OKytrfHVV1+12+7IkSNYuHAhCgsLISPz9/qiQVlZGXr37o0LFy6gX79+XR3OK6mrq4O5uTn27dvHKcPwoRgzZgwGDx6MxYsXd3UorPDwcFRWVuLrr7+WuE91dTXU1NRQVVUltpQJIYQQQgghhBDypkj6/9C23zcmpAssXboURkZGb6TO5+uqqalBUVEREhISMHfu3K4O552orKxEWloasrKyMGfOnA7bP3v2DAKB4G+VDG5sbMT9+/cRGRmJQYMGfbDJYKC5NnNSUhIeP37c1aG8ksGDB2PKlCldHQaHjo4OVq1a1dVhEEIIIYQQQgghr412CBPyksDAQKSkpGDcuHFITk6GtLR0V4f01hkbG6OyshLLli1DWFhYV4fTJbKysjBs2DCYmZnhwIEDsLGx6eqQyAeOdggTQgghhBBCCHmXaIcweaMyMjJgaWkJoVDY1aF0KCsrCzweD0+fPn2l/rt27UJ9fT327dv3wSSDo6OjOQ8Qi4iI6NTu5rKyMlRVVUmcDB46dCjmz5/PHhsbGyMuLk7i+V5ljrdt6NChCAgIgKWl5QeRDN65cyc94OwNmjx5MjZu3NjVYRBCCCGEEEIIIW8dJYT/QU6fPg0fHx/o6+uDx+Phhx9+kLjv4sWLERkZySZI7927Bz8/P5iZmUFKSuqdJu7etl27dkFdXb2rw3gtYWFh2L17N/74449222VlZWHs2LHo3r07lJSUYG9vj71793Z6vgsXLuCzzz571XA/OAzDYMeOHXB2doaqqiqUlZVhbW2NefPmoaSkhG0XHR0NHo8HHo8HGRkZGBsbIzQ0FDU1NQCaE/Et119+/frrr2Lnf/78OZYtW4aoqCiJ5xKluLgYEydOhLGxMXg8nsikvlAoxLJly9CrVy8oKCigd+/eWLVqFTr6ckl5eTm8vb2hqKgIHR0dLFq0CC9evGjTbvfu3Rg8eDAA4Pvvv8eIESOgqakJHo+HgoKCNu3v37+P6dOnQ09PD0pKSujXrx8OHjzYbizff/89PDw8oK2tDVVVVTg7O+PYsWOcNpGRkVizZg2qqqra9I+OjkZWVla7cxBCCCGEEEIIIR+Kv08BUNKhZ8+ewc7ODsHBwZgwYYLE/c6cOYPS0lJMnDiRPVdfXw9tbW1ERkZi8+bNbyPcf4SGhgbw+fw3Pq6WlhY8PT2RmJiI9evXi2139uxZ2NraIjw8HLq6uvj555/h7+8PNTU1jB49WuL5tLW130TYHwSGYeDn54cffvgBX3zxBTZv3gx9fX3cvXsXaWlpWL16NXbt2sW2t7a2xsmTJ/HixQvk5OQgODgYtbW1nAconjx5EtbW1px5NDU1xcZw4MABqKqqwtXVlXNekrlaq62thYmJCSZNmoTQ0FCRbdatW4fExETs3r0b1tbWyM3NRVBQENTU1PD555+L7CMUCuHt7Q09PT2cPXsW9+7dg7+/P2RlZRETE8Np++OPP2LMmDEAmn9HDR48GL6+vpg5c6bIsf39/fH06VMcOnQIWlpaSE5Ohq+vL3Jzc+Hg4CCyz+nTp+Hh4YGYmBioq6tDIBDAx8cHv/32G9unb9++6N27N/bs2YM5c+agsbERX331FeceHz58iLS0NPz73/8WOQ8h5MNhHJHe1SF0mbK13l0dAiGEEEII6WK0Q/gfZOTIkVi9ejXGjx/fqX6pqanw8PCAvLw8e87Y2Bjx8fFs8lBSTU1NiI2NZXcb2tnZ4cCBA+z1lnIPGRkZcHR0hKKiIlxcXHDt2jUAzTsqpaSkkJubyxk3Li6uUw+lu3jxIoYNGwYVFRWoqqqif//+yM3NRVZWFoKCglBVVcXutoyOjgbQnAQPCwuDgYEBlJSUMHDgQM6uwSdPnmDKlCkwMDCAoqIibGxskJKSwpl36NChCAkJwfz589mkLQCcOnUKTk5OkJOTQ/fu3REREcHupkxKSoKmpibq6+s5Y40bNw7Tp08Xe48+Pj5ITU1tdx2++OILrFq1Ci4uLujduzfmzZsHLy8vfP/99xKtY4uXS0bweDx88803GD9+PBQVFWFqaopDhw5x+rR3z6J0tP4AcPDgQVhbW0NOTg7GxsacEgArV65E375924xrb2+PZcuWSXyv+/btQ2pqKvbt24dly5Zh0KBBMDQ0xKBBg7Bu3ToIBAJOexkZGejp6aFHjx745JNPMHXq1DZroampCT09Pc5LVlZWbAypqanw8fFpc16SuVobMGAA1q9fj8mTJ0NOTk5km7Nnz2Ls2LHw9vaGsbExPv74Y4wYMQLnz58XO+7x48dx+fJl7NmzB/b29hg5ciRWrVqFLVu2oKGhgW33/PlzHD9+nE0IT58+HcuXL4e7u7vYsc+ePYu5c+fCyckJJiYmiIyMhLq6OvLy8sT2iYuLw+LFizFgwACYmpoiJiYGpqam+OmnnzjtWv/M8Hg8AMBHH32E4uJipKWlwcfHBz169BA7DyGEEEIIIYQQ8iGghDDpUHZ2NhwdHd/IWLGxsUhKSsK2bdtQXFyM0NBQTJs2DadOneK0W7p0KTZu3Ijc3FzIyMggODgYQHPi0d3dvU3STSAQIDAwEFJSkn2kp06dih49euDChQvIy8tDREQEZGVl4eLigri4OKiqquLevXu4d+8eW1c3JCQE586dQ2pqKgoLCzFp0iR4eXnhxo0bAJqTW/3790d6ejqKiorw2WefYfr06W0SZ7t37wafz0dOTg62bduGO3fuYNSoURgwYAAuXryIxMRE7Ny5E6tXrwYATJo0CUKhkJPYe/jwIdLT09l1EcXJyQm3b99GWVmZRGvSoqqqChoaGp3qI8qKFSvg6+uLwsJCjBo1ClOnTkVFRQUAdHjPonS0/nl5efD19cXkyZNx6dIlREdHY9myZexu3eDgYFy5cgUXLlxgx/z9999RWFiIoKAgie8rJSUF5ubmbBLzZS2JRHEUFBQ4SdFXcebMGYl+Jt/EXC4uLsjIyMD169cBNP8x5cyZMxg5ciTbJjo6GsbGxuzxuXPnYGNjA11dXfacp6cnqqurUVxczJ7LyMiAgYEBLCwsOhXPvn37UFFRgaamJqSmpuL58+cYOnQo22bo0KEIDAwUO0ZTUxP++uuvNp9zJycnnD9/HvX19ZCRkcHChQvx1Vdf4fDhwzh+/DiOHz8Ob2/aWUcIIYQQQggh5MNGJSNIh27dugV9ff3XHqe+vh4xMTE4efIknJ2dAQAmJiY4c+YMtm/fDjc3N7btmjVr2OOIiAh4e3vj+fPnkJeXx4wZMzBr1ixs2rQJcnJyyM/Px6VLl/Djjz9KHEt5eTkWLVrEJqJMTU3Za2pqauDxeNDT0+O0FwgEKC8vZ9ciLCwMR48ehUAgQExMDAwMDDgPZZs7dy6OHTuG/fv3w8nJiT1vamqKL7/8kj1eunQpevbsiYSEBPB4PFhYWODu3bsIDw/H8uXLoaCgAD8/PwgEAkyaNAkAsGfPHhgaGnKSYC9rifPWrVucZF179u/fjwsXLogtMdAZgYGBmDJlCgAgJiYGX331Fc6fPw8vLy9s3bq13Xt+ObEvyfpv2rQJw4cPZ3f7mpmZ4fLly1i/fj0CAwPRo0cPeHp6QiAQYMCAAQCa/5Dg5uYGExMTie/r+vXrMDc355ybP38+vvnmGwCAuro6bt++LbJvXl4ekpOT8dFHH3HOu7i4tLlncbV/nz59iqqqqg5/JsXN1VkRERGorq6GhYUFpKWlIRQKsWbNGkydOpVto6Wlhd69e7PH9+/f5ySDAbDH9+/fZ8+1Lhchqf379+OTTz6BpqYmZGRkoKioiLS0NPTp04dtY2hoiO7du4sdY8OGDaipqYGvry/nvL6+PhoaGnD//n306NEDCQkJOHDgAEaNGgV9fX14eXkhKioKXl5eIsetr6/n7OSvrq7u1L0RQgghhBBCCCHvAu0QJqyYmBgoKyuzr/LycgBAXV0dp1yEJLKzszlj7d27FyUlJaitrYWHhwfnWlJSEkpLSzn9bW1t2X+3JHYePnwIoLlUgrS0NNLS0gA0PwRu2LBhYpOereeaNWsWAGDBggWYMWMG3N3dsXbt2jbzv+zSpUsQCoUwMzPjjHfq1Cm2r1AoxKpVq2BjYwMNDQ0oKyvj2LFj7Dq26N+/P+f4ypUrcHZ25uwsdXV1RU1NDZtYnDlzJo4fP447d+6w9xwYGNjublQFBQUAzXVigeb6si1xt97d2SIzMxNBQUHYsWMHW89W1PsoqdbvoZKSElRVVdn3UJJ7bk2S9b9y5Uqbmrqurq64ceMGhEIhgOZ1TElJwfPnz9HQ0IDk5GSxu6z37t3LmSs7O1vsvS5duhQFBQVYvnx5m0TupUuXoKysDAUFBTg5OcHZ2RkJCQmcNvv27UNBQQHnJU5dXR0AiPyZFDdXeXk5515eruPbnv3792Pv3r1ITk5Gfn4+du/ejQ0bNmD37t1sm5CQEGRkZEg8JtBci/mnn37qdEJ42bJlePr0KU6ePInc3FwsWLAAvr6+uHTpEtsmKSkJsbGxIvsnJydjxYoV2L9/P3R0dDjXWv/MNDU1obGxERkZGbC2tsb48ePxww8/tLvjPjY2FmpqauyrZ8+enbo3QgghhBBCCCHkXaAdwoQ1a9Yszo65lh2IWlpaqKys7NRYjo6OnKSWrq4uLl++DABIT0+HgYEBp/3L9Utb109tSRq21Afm8/nw9/eHQCDAhAkTkJycjPj4eLGxtI5DVVUVQPNX3P38/JCeno4jR44gKioKqampYusr19TUQFpaGnl5eZCWluZcU1ZWBgCsX78e8fHxiIuLg42NDZSUlDB//vw2X9lXUlISG6s4Dg4OsLOzQ1JSEkaMGIHi4mKkp7f/QJyW8gwtD3w7fPgwGhsbAfx/4qvFqVOn4OPjg82bN8Pf3589L+p9lNTLNXB5PJ7ENZ5fJsn6S8LHxwdycnJIS0sDn89HY2MjPv74Y5Ftx4wZg4EDB7LHLZ9ZU1NTtqZ1C21tbWhra7dJMAKAubk5Dh06BBkZGejr64t8iGDPnj05O1zbo6mpCR6PJ/JnUtxcL1684LyPnSkJsmjRIkRERGDy5MkAABsbG9y6dQuxsbEICAgQ2UdPT69NqZQHDx6w1wDg/PnzePHiBVxcXCSOpbS0FAkJCSgqKmL/aGFnZ4fs7Gxs2bIF27Zta7d/amoqZsyYge+++05kneLWPzOysrKcHf9A8+e/5Y9KoixZsgQLFixgj6urqykpTAghhBBCCCHkvUMJYcLS0NAQmShycHBgk7mSUlBQaJPgsrKygpycHMrLyznlIV7FjBkz0LdvX2zduhUvXrzAhAkTxLYVl2gzMzODmZkZQkNDMWXKFAgEAowfPx58Pp/dUdrCwcEBQqEQDx8+xJAhQ0SOl5OTg7Fjx2LatGkAmhPY169fh5WVVbv3YmlpiYMHD4JhGDb5nZOTAxUVFc4DrGbMmIG4uDjcuXMH7u7uHSaaioqKICsryybOjIyMRLbLysrC6NGjsW7dOnz22Weca6LexzdB0ntuIcn6W1paIicnh3MuJycHZmZmbBJZRkYGAQEBEAgE4PP5mDx5cpvkeAsVFRWoqKi0OT9lyhT4+fnhxx9/xNixYzu8Vz6f/0bXkM/nw8rKCpcvX8aIESMkmktGRuaVY6itrW1TzkJaWrrd5L6zszPWrFmDhw8fsknyEydOQFVVlf15+PHHH+Ht7d0mwd9RLAA6HQ/QXPs5ODgYqampYusAFxUVoUePHtDS0uKcb3mwZEfk5OTEPpyPEEIIIYQQQgh5X1BC+B+kpqYGJSUl7PHNmzdRUFAADQ0NGBoaiu3n6enJ+Xp4i5YdhzU1NXj06BEKCgrYZJUoKioqCAsLQ2hoKJqamjB48GBUVVUhJycHqqqqYncbimJpaYlBgwYhPDwcwcHBYpN6otTV1WHRokX4+OOP0atXL9y+fRsXLlzAxIkTATQ/uK6mpgYZGRmws7ODoqIizMzMMHXqVPj7+2Pjxo1wcHDAo0ePkJGRAVtbW3h7e8PU1BQHDhzA2bNn0a1bN2zatAkPHjzoMCE8e/ZsxMXFYe7cuQgJCcG1a9cQFRWFBQsWcBJffn5+CAsLw44dO5CUlNThfWZnZ2PIkCHtrk1mZiZGjx6NefPmYeLEiWx9Vz6f/0YeLCeOpPfcQpL1X7hwIQYMGIBVq1bhk08+wblz55CQkICtW7dyxpoxYwYsLS0BoE0CWRKTJ0/G999/j8mTJ2PJkiXw9PSErq4ubt26hX379nUqwdniyZMnnNq6QHMtYnGlWjw9PXHmzBnMnz+/03O11tDQwP6xp6GhAXfu3EFBQQGUlZXZBLKPjw/WrFkDQ0NDWFtb4/fff8emTZs4pTYSEhKQlpbGlo0YMWIErKysMH36dHz55Ze4f/8+IiMjMWfOHDZheujQIaxcuZITT0VFBcrLy3H37l0AYHdi6+npQU9PDxYWFujTpw/+/e9/Y8OGDdDU1MQPP/yAEydO4Oeff2bH8ff3h4GBAVs2Ijk5GQEBAYiPj8fAgQPZtVZQUICamhrbLzs7u02SnRDy91S2lh4QSQghhBBC/sEY8o+RmZnJAGjzCggIaLffkydPGHl5eebq1auc86LGMjIyanespqYmJi4ujjE3N2dkZWUZbW1txtPTkzl16hQnxsrKSrbP77//zgBgbt68yRlr586dDADm/PnzIu+z9Rit1dfXM5MnT2Z69uzJ8Pl8Rl9fnwkJCWHq6urYNrNmzWI0NTUZAExUVBTDMAzT0NDALF++nDE2NmZkZWWZ7t27M+PHj2cKCwvZdRo7diyjrKzM6OjoMJGRkYy/vz8zduxYdlw3Nzdm3rx5bWLKyspiBgwYwPD5fEZPT48JDw9nGhsb27SbPn06o6GhwTx//pxzPioqirGzs+OcMzc3Z1JSUkSuQYuAgACR76Obm1u7/V6+DyMjI2bz5s3sMQAmLS2N00dNTY0RCATscUf3/PIcHa0/wzDMgQMHGCsrK0ZWVpYxNDRk1q9fLzL+IUOGMNbW1iLXo/X7JY5QKGS2bdvGDBw4kFFSUmL4fD5jYmLCzJw5k7l8+TLbTtT70trNmzdFrj+Adt+74uJiRkFBgXn69KnEc3Vm/tbvf3V1NTNv3jzG0NCQkZeXZ0xMTJilS5cy9fX1nLlf/tkvKytjRo4cySgoKDBaWlrMwoUL2fe3pKSEkZOTY2pqajh9BAKByHhafgYZhmGuX7/OTJgwgdHR0WEUFRUZW1tbJikpiTOOm5sb5/eam5tbh7/76urqGDU1NebcuXOdWsP2VFVVMQCYqqqqNzYmIYQQQgghhBAijqT/D+UxDMO8nVQz+TtZtGgRqqursX379q4OhbVq1Sp89913KCws7OpQ3pnhw4fD2toaX331Vbvtjhw5goULF6KwsBAyMvRFgNYYhoGpqSlmz57Nqff6oZk0aRL69euHJUuWdHUonbZp0yacPHkShw8f7upQWImJiUhLS8Px48ff2JjV1dVQU1NDVVUVW7+cEEIIIYQQQgh5WyT9f2jb72YTIsLSpUthZGT0yg8Fe5NqampQVFSEhIQEzJ07t6vDeScqKyuRlpaGrKwszJkzp8P2z549g0AgoGTwSx49eoSEhATcv38fQUFBXR3Oa1m/fn2nHqj3PunRo8d7l8iWlZXFf//7364OgxBCCCGEEEIIeetohzD54AQGBiIlJQXjxo1DcnLyK9Vs/dAYGxujsrISy5YtQ1hYWFeH88Hi8XjQ0tJCfHw8/Pz8ujoc8jdHO4QJIYQQQgghhLxLtEP4bygjIwOWlpYQCoVdHUqHsrKywOPx8PTp0zc+9q5du1BfX//KD/B6W6Kjo2Fvb88eR0REvLEdzGVlZaiqqnovksFlZWXg8XjsQwVF2bVrF9TV1dsd5+X1ehcYhsGjR4/aTQYHBgZi3Lhx7y6o17Bz5056CNob0tDQAGNjY+Tm5nZ1KIQQQgghhBBCyFtFCeF37PTp0/Dx8YG+vj54PB5++OEHifsuXrwYkZGRbBL03r178PPzg5mZGaSkpDB//vy3E3QXkCSh+L4LCwvD7t278ccff7TbLisrC2PHjkX37t2hpKQEe3t77N279x1F+XZ88sknuH79eleH8VYxDIMdO3bA2dkZqqqqUFZWhrW1NebNm4eSkhK2XXR0NHg8Hng8HmRkZGBsbIzQ0FDU1NQA+P8Eu6jXr7/+Knb+58+fY9myZYiKipJ4LlGKi4sxceJEGBsbg8fjIS4urk0boVCIZcuWoVevXlBQUEDv3r2xatUqdPQFk/Lycnh7e0NRURE6OjpYtGgRXrx40abd7t27MXjwYDQ2NiI8PBw2NjZQUlKCvr4+/P39cffuXU77iooKTJ06FaqqqlBXV8enn37a7j2+bO3ateDxeJzfmXw+H2FhYQgPDxfZZ+jQoRKPTwghhBBCCCGEvM+owOg79uzZM9jZ2SE4OBgTJkyQuN+ZM2dQWlqKiRMnsufq6+uhra2NyMhIbN68+W2E+4/Q0NAAPp//xsfV0tKCp6cnEhMTsX79erHtzp49C1tbW4SHh0NXVxc///wz/P39oaamhtGjR7/RmBobGyErK/tGxxRFQUEBCgoKb32ersIwDPz8/PDDDz/giy++wObNm6Gvr4+7d+8iLS0Nq1evxq5du9j21tbWOHnyJF68eIGcnBwEBwejtraW85DGkydPwtramjOPpqam2BgOHDgAVVVVuLq6cs5LMldrtbW1MDExwaRJkxAaGiqyzbp165CYmIjdu3fD2toaubm5CAoKgpqaGj7//HORfYRCIby9vaGnp4ezZ8/i3r178Pf3h6ysLGJiYjhtf/zxR4wZMwa1tbXIz8/HsmXLYGdnh8rKSsybNw9jxozh7NydOnUq7t27hxMnTqCxsRFBQUH47LPPkJycLHa9Wly4cAHbt2+Hra1tm2tTp07FwoULUVxcDGtra1y/fh35+fmYPHky2yY/Px9379594z+b5P1gHJHe1SEQ8taVrfXu6hAIIYQQQkgXox3C79jIkSOxevVqjB8/vlP9UlNT4eHhAXl5efacsbEx4uPj2eShpJqamhAbG8vu9rOzs8OBAwfY6y3lHjIyMuDo6AhFRUW4uLjg2rVrAJp3NEpJSbX5anVcXFynHjx38eJFDBs2DCoqKlBVVUX//v2Rm5uLrKwsBAUFoaqqit3tGB0dDaA5CR4WFgYDAwMoKSlh4MCByMrKYsd88uQJpkyZAgMDAygqKsLGxgYpKSmceYcOHYqQkBDMnz+fTdoCwKlTp+Dk5AQ5OTl0794dERER7G7GpKQkaGpqor6+njPWuHHjMH36dLH36OPjg9TU1HbX4YsvvsCqVavg4uKC3r17Y968efDy8sL333/fbr+jR49i8ODBUFdXh6amJkaPHo3S0lL2esvO03379sHNzQ3y8vLYu3evRGvU1NSEL7/8En369IGcnBwMDQ2xZs0aTps//vgDw4YNg6KiIuzs7HDu3Dn2mqgd3mvXroWuri5UVFTw6aef4vnz523mXLlyJXr06AE5OTnY29vj6NGjbe7n+++/FzsvABw8eBDW1taQk5ODsbExNm7cyF5buXIl+vbt22Yt7e3tsWzZsnbXu7V9+/YhNTUV+/btw7JlyzBo0CAYGhpi0KBBWLduHQQCAae9jIwM9PT00KNHD3zyySeYOnUqDh06xGmjqakJPT09zqu95H1qaip8fHzanJdkrtYGDBiA9evXY/LkyZCTkxPZ5uzZsxg7diy8vb1hbGyMjz/+GCNGjMD58+fFjnv8+HFcvnwZe/bsgb29PUaOHIlVq1Zhy5YtaGhoYNs9f/4cx48fx5gxY6CmpoYTJ07A19cX5ubmGDRoEBISEpCXl4fy8nIAwJUrV3D06FF88803GDhwIAYPHoz//ve/SE1NbbOT+GU1NTWYOnUqduzYgW7durW53q1bN7i6urI/s1paWsjMzISvry+ePn2K5cuXY8mSJTAxMWl3HkIIIYQQQggh5H1GCeEPRHZ2NhwdHd/IWLGxsUhKSsK2bdtQXFyM0NBQTJs2DadOneK0W7p0KTZu3Ijc3FzIyMggODgYQHMi2t3dvU3SSyAQIDAwEFJSkn2spk6dih49euDChQvIy8tDREQEZGVl4eLigri4OKiqquLevXu4d+8eWzs3JCQE586dQ2pqKgoLCzFp0iR4eXnhxo0bAJqTS/3790d6ejqKiorw2WefYfr06W0SV7t37wafz0dOTg62bduGO3fuYNSoURgwYAAuXryIxMRE7Ny5E6tXrwYATJo0CUKhkJNYe/jwIdLT09l1EcXJyQm3b99GWVmZRGvSoqqqChoaGu22efbsGRYsWIDc3FxkZGRASkoK48ePb5OQj4iIwLx583DlyhV4enpKtEZLlizB2rVrsWzZMly+fBnJycnQ1dXljLt06VKEhYWhoKAAZmZmmDJlishyAACwf/9+REdHIyYmBrm5uejevTu2bt3KaRMfH4+NGzdiw4YNKCwshKenJ8aMGcO+t5LMm5eXB19fX0yePBmXLl1CdHQ0li1bxu7WDQ4OxpUrV3DhwgV2vN9//x2FhYUICgpqd71bS0lJgbm5OcaMGSPyOo/Ha7e/goICJyn6Ks6cOSPR74Q3MZeLiwsyMjLYMiAXL17EmTNnMHLkSLZNdHQ0jI2N2eNz587BxsaG87nx9PREdXU1iouL2XMZGRkwMDCAhYWFyLlb/jDU8geGc+fOQV1dnXPv7u7ukJKSwm+//cae4/F4nF3aADBnzhx4e3vD3d1d7L06OTkhOzsbAKChoYHt27fD3d0dFy9eRGlpKY4dOwYrKyuRfevr61FdXc15EUIIIYQQQggh7xsqGfGBuHXrFvT19V97nPr6esTExODkyZNwdnYGAJiYmODMmTPYvn073Nzc2LZr1qxhjyMiIuDt7Y3nz59DXl4eM2bMwKxZs7Bp0ybIyckhPz8fly5dwo8//ihxLOXl5Vi0aBGbCDI1NWWvqampgcfjQU9Pj9NeIBCgvLycXYuwsDAcPXoUAoEAMTExMDAw4Dx4be7cuTh27Bj2798PJycn9rypqSm+/PJL9njp0qXo2bMnEhISwOPxYGFhgbt37yI8PBzLly+HgoIC/Pz8IBAIMGnSJADAnj17YGho2G5t0ZY4b926xUmWtWf//v3s19rb07p8CAB8++230NbWxuXLlzm7YOfPn9+mPEl7a/TXX38hPj4eCQkJCAgIAAD07t0bgwcPbjOGt3fz105XrFgBa2trlJSUiEzsxcXF4dNPP8Wnn34KAFi9ejVOnjzJ2SW8YcMGhIeHs1/PX7duHTIzMxEXF4ctW7ZINO+mTZswfPhwdrevmZkZLl++jPXr1yMwMBA9evSAp6cnBAIBBgwYAKD5Dxlubm6d2vV5/fp1mJubc87Nnz8f33zzDQBAXV0dt2/fFtk3Ly8PycnJ+OijjzjnXVxc2vwxRVxd3KdPn6KqqqrD3wni5uqsiIgIVFdXw8LCAtLS0hAKhVizZg2mTp3KttHS0kLv3r3Z4/v377f5I0LL8f3799lzLeUiRHn+/DnCw8MxZcoU9umo9+/fh46ODqedjIwMNDQ0OOOam5tzvjmRmpqK/Px8zh8DRNHX18etW7cAAJWVlVi6dCkeP34MOzs79O7dGyNHjkRcXFyb9x9o/mPbihUr2h2fEEIIIYQQQgjparRD+D0TExMDZWVl9tXyNem6ujpOuQhJZGdnc8bau3cvSkpKUFtbCw8PD861pKQkTrkBAJwam927dwfQvCsWaC6VIC0tjbS0NADNJQKGDRsmNunZeq5Zs2YBABYsWIAZM2bA3d0da9eubTP/yy5dugShUAgzMzPOeKdOnWL7CoVCrFq1CjY2NtDQ0ICysjKOHTvGrmOL/v37c46vXLkCZ2dnzs5OV1dX1NTUsIm9mTNn4vjx47hz5w57z4GBge3uBm2po1tbWwugub5rS9ytd1e2yMzMRFBQEHbs2MHWkxX1PgLAjRs3MGXKFJiYmEBVVZVd+5fv9eVdpB2t0ZUrV1BfX4/hw4eLvS+g/c/Hy65cuYKBAwdyzrX8QQIAqqurcffu3Tb1cF1dXXHlyhWJ571y5YrIMW7cuAGhUAig+X1MSUnB8+fP0dDQgOTkZLG7vPfu3ctZ+5ado6IsXboUBQUFWL58eZtE7qVLl6CsrAwFBQU4OTnB2dkZCQkJnDb79u1DQUEB5yVOXV0dAIj8nSBurvLycs69vFzHtz379+/H3r17kZycjPz8fOzevRsbNmzA7t272TYhISHIyMiQeEyguRbzTz/9JDIh3NjYCF9fXzAMg8TExE6NCwBXr15lS/P8+eefmDdvHvbu3dvh71EFBQX25/Xhw4cYMmQI9u/fD3V1daxcuRJr1qwR+8DEJUuWoKqqin39+eefnY6bEEIIIYQQQgh522iH8Htm1qxZ8PX1ZY9bdgBqaWmhsrKyU2M5Ojpykkq6urq4fPkyACA9PR0GBgac9i/XD21dv7Ql6dlSjoDP58Pf3x8CgQATJkxAcnIy4uPjxcbSOo6WnX7R0dHw8/NDeno6jhw5gqioKKSmpoqtr1xTUwNpaWnk5eVBWlqac01ZWRkAsH79esTHxyMuLg42NjZQUlLC/Pnz23xlXklJSWys4jg4OMDOzg5JSUkYMWIEiouLkZ7e/gOIKioqAADa2toAgMOHD6OxsREA2jx07dSpU/Dx8cHmzZvh7+/Pnhf1PgLN9YmNjIywY8cO6Ovro6mpCX379u3wXjtaI0kfBtfe5+Ntet15fXx8ICcnh7S0NPD5fDQ2NuLjjz8W2XbMmDGcRHbLz4ypqSlbU7uFtrY2tLW12+xeBZp3qx46dAgyMjLQ19cX+RDDnj17ok+fPhLdg6amJng8nsjfCeLmevHiBedz1FFJktYWLVqEiIgIdve2jY0Nbt26hdjYWHYX+cv09PTalGp58OABew0Azp8/jxcvXsDFxYXTriUZfOvWLfzyyy/s74yWvi//4eHFixeoqKjgfKOgtby8PDx8+BD9+vVjzwmFQpw+fRoJCQmor69nf6dUVFSwP6/m5uZtdgL369ePM05rcnJyYuswE0IIIYQQQggh7wtKCL9nNDQ0RCZqHBwc2GSupBQUFNokmKysrCAnJ4fy8nJOeYhXMWPGDPTt2xdbt27Fixcv2pQlaE1cosvMzAxmZmYIDQ3FlClTIBAIMH78ePD5fHZHZwsHBwcIhUJ2154oOTk5GDt2LKZNmwagOVF4/fp1sTU/W1haWuLgwYNgGIZNMubk5EBFRQU9evTg3HNcXBzu3LkDd3d39OzZs91xi4qKICsry+72NTIyEtkuKysLo0ePxrp16/DZZ59xrol6H588eYJr165hx44d7FqcOXOm3VhadLRGpqamUFBQQEZGBmbMmCHRmB2xtLTEb7/9xkl0//rrr+y/VVVVoa+vj5ycHM7nMicnh1PqQ5J5cnJyOOdycnJgZmbGJvxkZGQQEBAAgUAAPp+PyZMni02Cq6ioQEVFpc35KVOmwM/PDz/++CPGjh3bYVx8Pl/iZK8k+Hw+rKyscPnyZYwYMUKiuWRkZF45htra2jblLKSlpdtNxDs7O2PNmjV4+PAhmyQ/ceIEVFVV2c/ajz/+CG9vb84feFqSwTdu3EBmZiY0NTXbjPv06VPk5eWxO/1/+eUXNDU1tdmF3mL48OG4dOkS51xQUBAsLCwQHh7Omb+oqAgODg5txmj98EpCCCGEEEIIIeRDRgnhd6ympgYlJSXs8c2bN1FQUAANDQ0YGhqK7efp6cn5enaLlh1/NTU1ePToEQoKCthkkSgqKioICwtDaGgompqaMHjwYFRVVSEnJweqqqpid/uJYmlpiUGDBiE8PBzBwcES7ywFmr/yvmjRInz88cfo1asXbt++jQsXLrB1cY2NjVFTU4OMjAzY2dlBUVERZmZmmDp1Kvz9/bFx40Y4ODjg0aNHyMjIgK2tLby9vWFqaooDBw7g7Nmz6NatGzZt2oQHDx50mBCePXs24uLiMHfuXISEhODatWuIiorCggULOIkwPz8/hIWFYceOHUhKSurwPrOzszFkyJB21yYzMxOjR4/GvHnzMHHiRLYOKp/PF7uLs1u3btDU1MTXX3+N7t27o7y8HBERER3GA6DDNZKXl0d4eDgWL14MPp8PV1dXPHr0CMXFxWwN4M6aN28eAgMD4ejoCFdXV+zduxfFxcWcur2LFi1CVFQUevfuDXt7ewgEAhQUFLAlMiSxcOFCDBgwAKtWrcInn3yCc+fOISEhoc0D7GbMmAFLS0sAaJNAlsTkyZPx/fffY/LkyViyZAk8PT2hq6uLW7duYd++fW12sEviyZMnnBq4QHMtYnElDjw9PXHmzBnMnz+/03O11tDQwP6xqaGhAXfu3EFBQQGUlZXZBLKPjw/WrFkDQ0NDWFtb4/fff8emTZs4pTYSEhKQlpbGlo0YMWIErKysMH36dHz55Ze4f/8+IiMjMWfOHHYX7aFDh7By5Up2jJbd2vn5+fj5558hFArZNdHQ0ACfz4elpSW8vLwwc+ZMbNu2DY2NjQgJCcHkyZM5NZUtLCwQGxuL8ePHQ0VFhVNXG2jeOa+pqdnmfHZ2NlatWvVaa0o+XGVrvbs6BEIIIYQQQgh5+xjyTmVmZjIA2rwCAgLa7ffkyRNGXl6euXr1Kue8qLGMjIzaHaupqYmJi4tjzM3NGVlZWUZbW5vx9PRkTp06xYmxsrKS7fP7778zAJibN29yxtq5cycDgDl//rzI+2w9Rmv19fXM5MmTmZ49ezJ8Pp/R19dnQkJCmLq6OrbNrFmzGE1NTQYAExUVxTAMwzQ0NDDLly9njI2NGVlZWaZ79+7M+PHjmcLCQnadxo4dyygrKzM6OjpMZGQk4+/vz4wdO5Yd183NjZk3b16bmLKyspgBAwYwfD6f0dPTY8LDw5nGxsY27aZPn85oaGgwz58/55yPiopi7OzsOOfMzc2ZlJQUkWvQIiAgQOT76Obm1m6/EydOMJaWloycnBxja2vLZGVlMQCYtLQ0hmEY5ubNmwwA5vfff+f0k2SNhEIhs3r1asbIyIiRlZVlDA0NmZiYGLHjVlZWMgCYzMxMhmEYRiAQMGpqapx516xZw2hpaTHKyspMQEAAs3jxYs56CYVCJjo6mjEwMGBkZWUZOzs75siRI+x1SeZlGIY5cOAAY2Vlxca9fv16kes3ZMgQxtraus35gIAAzlqIIxQKmW3btjEDBw5klJSUGD6fz5iYmDAzZ85kLl++zLYT9bloreW+RL3a++wUFxczCgoKzNOnTyWeqzPzt/78VVdXM/PmzWMMDQ0ZeXl5xsTEhFm6dClTX1/Pmfvl3z1lZWXMyJEjGQUFBUZLS4tZuHAh+zNVUlLCyMnJMTU1NRKtRev3+MmTJ8yUKVMYZWVlRlVVlQkKCmL++usvztwAGIFAIPa+Rf0eOHv2LKOurs7U1tZKtngdqKqqYgAwVVVVb2Q8QgghhBBCCCGkPZL+P5THMAzzNhLN5M1btGgRqqursX379q4OhbVq1Sp89913KCws7OpQ3pnhw4fD2toaX331Vbvtjhw5goULF6KwsBAyMrQZ/33CMAxMTU0xe/ZsLFiwoKvDeWWTJk1Cv379sGTJkq4OpdM2bdqEkydP4vDhw10dCuuTTz6BnZ0dvvjiizcyXnV1NdTU1FBVVcWpg0wIIYQQQgghhLwNkv4/VErsFfLeWbp0KYyMjN7Jg7s6UlNTg6KiIiQkJGDu3LldHc47UVlZibS0NGRlZWHOnDkdtn/27BkEAgElg98zjx49QkJCAu7fv4+goKCuDue1rF+/nn2g4oemR48e71Uiu6GhATY2NggNDe3qUAghhBBCCCGEkLeKdgiTVxIYGIiUlBSMGzcOycnJr1Qz9UNjbGyMyspKLFu2DGFhYV0dDnlFPB4PWlpaiI+Ph5+fX1eHQ/7GaIcwIYQQQgghhJB3iXYIk7dq165dqK+vf+UHaH2IysrKUFVV9V4mgzMyMmBpaQmhUNjVoXQoKysLPB4PT58+fetz8Xg8/PDDD5xzDMPg0aNHEieDAwMDMW7cuDcf3Euio6Nhb2/PHkdERHxQu+8bGhrQp08fnD17tqtDeSUNDQ0wNjZGbm5uV4dCCCGEEEIIIYS8VZQQJuQ9cfr0afj4+EBfX19kIrM9ixcvRmRkJJucv3fvHvz8/GBmZgYpKSnMnz//7QT9DxAfH49du3axx0OHDn0n6xkWFobdu3fjjz/+kKh9SUkJgoODYWhoCDk5ORgYGGD48OHYu3cvXrx4wbbj8XjsS01NDa6urvjll1/Y64GBgZw2LS8vL69259+2bRt69eoFFxcXiecSZc2aNXBxcYGioiLU1dXFttu1axdsbW0hLy8PHR0dicq4bNmyBcbGxpCXl8fAgQNx/vx59hqfz0dYWBjCw8NF9h06dGiH4xNCCCGEEEIIIR8CKm5KyHvi2bNnsLOzQ3BwMCZMmCBxvzNnzqC0tBQTJ05kz9XX10NbWxuRkZHYvHnz2wj3H0NNTa1L5tXS0oKnpycSExOxfv36dtueP38e7u7usLa2xpYtW2BhYQEAyM3NxZYtW9C3b1/Y2dmx7QUCAby8vPD48WMsXboUo0ePRlFREUxMTAAAXl5eEAgEnDnk5OTEzs8wDBISErBy5co21zqa62UNDQ2YNGkSnJ2dsXPnTpFtNm3ahI0bN2L9+vUYOHAgnj17hrKysnbXaN++fViwYAG2bduGgQMHIi4uDp6enrh27Rp0dHQAAFOnTsXChQtRXFwMa2trXL9+Hfn5+Zg8eTI7Tn5+Pu7evYvRo0e3Ox/5ezOOSO/qEAh5ZWVrvbs6BEIIIYQQ0sVohzAh74mRI0di9erVGD9+fKf6paamwsPDA/Ly8uw5Y2NjxMfHw9/fv1MJzaamJsTGxqJXr15QUFCAnZ0dDhw4wF5vKfeQkZEBR0dHKCoqwsXFBdeuXQPQXFZDSkqqzdfu4+LiOvVAxJbyCdu3b0fPnj2hqKgIX19fVFVVsW0uXLgADw8PaGlpQU1NDW5ubsjPzxc7ZllZGXg8Hvbv348hQ4ZAQUEBAwYMwPXr13HhwgU4OjpCWVkZI0eOxKNHj9h+rUtGBAYG4tSpU4iPj2d3vrYkIk+dOgUnJyfIycmhe/fuiIiIYHfmJiUlQVNTE/X19ZyYxo0bh+nTp4uN2cfHB6mpqe2uFcMwCAwMhJmZGXJycuDj4wNTU1OYmppiypQpOHPmDGxtbTl91NXVoaenh759+yIxMRF1dXU4ceIEe11OTg56enqcV7du3cTGkJeXh9LSUnh7t00ydDTXy1asWIHQ0FDY2NiIvF5ZWYnIyEgkJSXBz88PvXv3hq2tLcaMGdPuOm3atAkzZ85EUFAQrKyssG3bNigqKuLbb79l23Tr1g2urq7smmtpaSEzMxO+vr54+vQpli9fjiVLlohNZhNCCCGEEEIIIR8CSggT8oHLzs6Go6PjGxkrNjYWSUlJ2LZtG4qLixEaGopp06bh1KlTnHZLly7Fxo0bkZubCxkZGQQHBwNoTkS7u7u32V0qEAgQGBgIKSnJf+WUlJRg//79+Omnn3D06FH8/vvvmD17Nnv9r7/+QkBAAM6cOYNff/0VpqamGDVqFP766692x42KikJkZCTy8/MhIyMDPz8/LF68GPHx8cjOzkZJSQmWL18usm98fDycnZ0xc+ZM3Lt3D/fu3UPPnj1x584djBo1CgMGDMDFixeRmJiInTt3YvXq1QCASZMmQSgU4tChQ+xYDx8+RHp6Ort2ojg5OeH27dvt7n4tKCjAlStXEBYWJnZ9eTye2P4KCgoAmnfmvqrs7GyYmZlBRUWl3XZvYq4TJ06gqakJd+7cgaWlJXr06AFfX1/8+eefnHY8Ho8t9dHQ0IC8vDy4u7uz16WkpODu7o5z585x+jk5OSE7OxsAoKGhge3bt8Pd3R0XL15EaWkpjh07BisrK5Gx1dfXo7q6mvMihBBCCCGEEELeN5QQJuQDd+vWLejr67/2OPX19YiJicG3334LT09PmJiYIDAwENOmTcP27ds5bdesWQM3NzdYWVkhIiICZ8+exfPnzwEAM2bMQEpKCrsbNj8/H5cuXUJQUFCn4nn+/DmSkpJgb2+Pf/3rX/jvf/+L1NRU3L9/HwDw0UcfYdq0abCwsIClpSW+/vpr1NbWtklevywsLAyenp6wtLTEvHnzkJeXh2XLlsHV1RUODg749NNPkZmZKbKvmpoa+Hw+FBUV2Z2z0tLS2Lp1K3r27ImEhARYWFhg3LhxWLFiBTZu3IimpiYoKCjAz8+Pkyjfs2cPDA0N261N2/K+3rp1S2yb69evAwDMzc3Zcw8fPoSysjL72rp1q8i+tbW1bO1pNzc39vzPP//M6a+srIyYmBixMUjyGRQ3V2f98ccfaGpqQkxMDOLi4nDgwAFUVFTAw8ODk2g2Nzdnd8c/fvwYQqEQurq6nLF0dXXZz1MLfX19dr0rKysxe/ZsnDx5EnZ2dujduzdGjhzJ7oh/WWxsLNTU1NhXz549X/k+CSGEEEIIIYSQt4USwoR8IGJiYjgJuvLycgBAXV0dp1yEJLKzszlj7d27FyUlJaitrYWHhwfnWlJSEkpLSzn9W5cg6N69O4DmJCTQXAZBWloaaWlpAJof/jVs2DAYGxuLjKX1XLNmzWLPGxoawsDAgD12dnZGU1MTm4x78OABZs6cCVNTU6ipqUFVVRU1NTXsuojTOvaWBGHr8gS6urrsvUjqypUrcHZ25uzEdXV1RU1NDW7fvg0AmDlzJo4fP447d+4AaF6Xlge4idOyo7a2thYAYG1tza7VyJEjxfbT1NREQUEBCgoKoK6u3mZH7pQpU6CsrAwVFRUcPHgQO3fu5KzLsGHD2P4tr9bvzcva+wyKm2vWrFmc915STU1NaGxsxFdffQVPT08MGjQIKSkpuHHjBieRf/Xq1U6XXwGa17xlvR8+fIghQ4Zg//79UFdXx8qVK7FmzRo2Cf+yJUuWoKqqin29vGuZEEIIIYQQQgh5H9BD5Qj5QMyaNQu+vr7sccuOTC0tLVRWVnZqLEdHRxQUFLDHurq6uHz5MgAgPT2dk4gF2j5QTFZWlv13S0KzpT4wn8+Hv78/BAIBJkyYgOTkZMTHx4uNpXUcqqqqEt9DQEAAnjx5gvj4eBgZGUFOTg7Ozs4dliMQFfvL5yStddwZDg4OsLOzQ1JSEkaMGIHi4mKkp7f/YKqKigoAgLa2NgDg8OHDaGxsBPD/yWJTU1MAwLVr1+Dg4AAAkJaWRp8+fQAAMjJtf81v3rwZ7u7uUFNTY8duTUlJie0vCS0tLVy6dEnkNXFzrVy5EmFhYRLP0aLlDxCtyzZoa2tDS0tL7B8DtLS0IC0tjQcPHnDOP3jwAHp6epxzFRUVbJzm5uacndcA0K9fP/Tr10/kPHJycu0+fI8QQgghhBBCCHkfUEKYkA+EhoYGNDQ02px3cHBgk7mSUlBQaJPws7KygpycHMrLy1/rK/1Ac9mIvn37YuvWrXjx4gUmTJggtq24xGN5eTnu3r3LJr5//fVXSElJsQm6nJwcbN26FaNGjQIA/Pnnn3j8+PFrxS0JPp8PoVDIOWdpaYmDBw+CYRg2yZyTkwMVFRX06NGDbTdjxgzExcXhzp07cHd377CkQFFREWRlZWFtbQ0AMDIyatPGwcEBFhYW2LBhA3x9fSWq06ynp9ephG9HHBwckJiYyLn/jubS0dGBjo5Op+dydXUF0JwAb1nbiooKPH78WOT6AM3vWf/+/ZGRkcE+ILCpqQkZGRkICQnhtC0qKmIT661lZWV1OlZCCCGEEEIIIeR9RAlhQt4TNTU1KCkpYY9v3ryJgoICaGhowNDQUGw/T09P7N69u835lp23NTU1ePToEQoKCsDn88U+EEtFRQVhYWEIDQ1FU1MTBg8ejKqqKuTk5EBVVRUBAQES34ulpSUGDRqE8PBwBAcHs7tZO0NeXh4BAQHYsGEDqqur8fnnn8PX15fd0Wlqaor//e9/cHR0RHV1NRYtWvRK83SWsbExfvvtN5SVlUFZWRkaGhqYPXs24uLiMHfuXISEhODatWuIiorCggULOAlaPz8/hIWFYceOHUhKSupwruzsbAwZMqTd++LxeBAIBPDw8ICrqyuWLFkCS0tLNDY24vTp03j06BGkpaU7dY/19fVtauvKyMhAS0tLZPthw4ahpqYGxcXF6Nu3b6fmell5eTkqKipQXl4OoVDIfo779OkDZWVlmJmZYezYsZg3bx6+/vprqKqqYsmSJbCwsMCwYcPYcSwsLBAbG8uWjViwYAECAgLg6OgIJycnxMXF4dmzZ21qW2dnZ2PVqlWvdQ/k769srXdXh0AIIYQQQgghr4xqCBPynsjNzYWDgwO7O3HBggVwcHDA8uXL2+03depUFBcXt3nQVctYeXl5SE5OhoODA7ubVpxVq1Zh2bJliI2NhaWlJby8vJCeno5evXp1+n4+/fRTNDQ0IDg4uNN9geYE4IQJEzBq1CiMGDECtra2nIej7dy5E5WVlejXrx+mT5+Ozz///JV2nHZWWFgYpKWlYWVlBW1tbZSXl8PAwACHDx/G+fPnYWdnh1mzZuHTTz9FZGQkp6+amhomTpwIZWVldqdqe1JTUzFz5swO2w0aNAh5eXkwNzfHnDlzYGVlBRcXF6SkpGDz5s34z3/+06l7PHr0KLp37855DR48WGx7TU1NjB8/Hnv37u3UPKIsX74cDg4OiIqKQk1NDfs5zs3NZdskJSVh4MCB8Pb2hpubG2RlZXH06FFO6Y9r166hqqqKPf7kk0+wYcMGLF++HPb29igoKMDRo0c5D5o7d+4cqqqq8PHHH7/2fRBCCCGEEEIIIe8rHsMwTFcHQQh5PYsWLUJ1dTW2b9/e1aGwVq1ahe+++w6FhYWd7hsdHY0ffviBU1/472L48OGwtrbGV1991W67I0eOYOHChSgsLBRZB/h9U1hYCA8PD5SWlnbqIXHvk08++QR2dnb44osv3sh41dXVUFNTQ1VVVafqYxNCCCGEEEIIIa9C0v+H0g5hQv4Gli5dCiMjo7fyMLTOqqmpQVFRERISEjB37tyuDue9UVlZibS0NGRlZWHOnDkdtn/27BkEAsEHkQwGAFtbW6xbtw43b97s6lBeSUNDA2xsbBAaGtrVoRBCCCGEEEIIIW8V7RAmhLxRgYGBSElJwbhx45CcnNzp+rXA33OHsLGxMSorK7Fs2TKEhYV1dTjkHaAdwoQQQgghhBBC3iXaIUzIP0RGRgYsLS0hFAq7OhQAwK5du1BfX499+/a1SQZnZWWBx+Ph6dOn7Y4RHR392slgHo+HH3744bXGCAwMlKjWryTKyspQVVUlMhkcHR0Ne3t79jgiIuKD213d0NCAPn364OzZs10dyitpaGiAsbExp1YxIYQQQgghhBDyd0QJYULeA6dPn4aPjw/09fU7nchcvHgxIiMj2eTrvXv34OfnBzMzM0hJSWH+/PlvJ+h/gPj4eOzatYs9Hjp06DtZz7CwMOzevRt//PGHRO1LSkoQHBwMQ0NDyMnJwcDAAMOHD8fevXvx4sULth2Px2NfampqcHV1xS+//MIZ6/79+5g7dy5MTEwgJyeHnj17wsfHBxkZGe3GsG3bNvTq1QsuLi6dmu9la9asgYuLCxQVFaGuri623a5du2Brawt5eXno6OhIVIZjy5YtMDY2hry8PAYOHIjz58+z1/h8PsLCwhAeHi6y79ChQzscnxBCCCGEEEII+RB8GMUpCfmbe/bsGezs7BAcHIwJEyZI3O/MmTMoLS3FxIkT2XP19fXQ1tZGZGQkNm/e/DbC/cdQU1Prknm1tLTg6emJxMRErF+/vt2258+fh7u7O6ytrbFlyxZYWFgAAHJzc7Flyxb07dsXdnZ2bHuBQAAvLy88fvwYS5cuxejRo1FUVAQTExOUlZXB1dUV6urqWL9+PWxsbNDY2Ihjx45hzpw5uHr1qsgYGIZBQkICVq5c2eZae/OJ0tDQgEmTJsHZ2Rk7d+4U2WbTpk3YuHEj1q9fj4EDB+LZs2coKytrd5327duHBQsWYNu2bRg4cCDi4uLg6emJa9euQUdHBwAwdepULFy4EMXFxbC2tsb169eRn5+PyZMns+Pk5+fj7t27GD16dLvzEULI+8o4Iv2dzVW21vudzUUIIYQQQiRHO4QJeQ+MHDkSq1evxvjx4zvVLzU1FR4eHpCXl2fPGRsbIz4+Hv7+/p1KaDY1NSE2Nha9evWCgoIC7OzscODAAfZ6S7mHjIwMODo6QlFRES4uLrh27RqA5pIIUlJSbb5yHxcX16kH3rWUT9i+fTt69uwJRUVF+Pr6oqqqim1z4cIFeHh4QEtLC2pqanBzc0N+fr7YMcvKysDj8bB//34MGTIECgoKGDBgAK5fv44LFy7A0dERysrKGDlyJB49esT2a10yIjAwEKdOnUJ8fDy767UlCXnq1Ck4OTlBTk4O3bt3R0REBLszNykpCZqamqivr+fENG7cOEyfPl1szD4+PkhNTW13rRiGQWBgIMzMzJCTkwMfHx+YmprC1NQUU6ZMwZkzZ2Bra8vpo66uDj09PfTt2xeJiYmoq6vDiRMnAACzZ88Gj8fD+fPnMXHiRJiZmcHa2hoLFizAr7/+KjaOvLw8lJaWwtu77X/825tPlBUrViA0NBQ2NjYir1dWViIyMhJJSUnw8/ND7969YWtrizFjxrS7Vps2bcLMmTMRFBQEKysrbNu2DYqKivj222/ZNt26dYOrqyu77lpaWsjMzISvry+ePn2K5cuXY8mSJWKT2YQQQgghhBBCyIeAEsKEfMCys7Ph6Oj4RsaKjY1FUlIStm3bhuLiYoSGhmLatGk4deoUp93SpUuxceNG5ObmQkZGBsHBwQCaE9Hu7u4QCASc9gKBAIGBgZCSkvzXTUlJCfbv34+ffvoJR48exe+//47Zs2ez1//66y8EBATgzJkz+PXXX2FqaopRo0bhr7/+anfcqKgoREZGIj8/HzIyMvDz88PixYsRHx+P7OxslJSUYPny5SL7xsfHw9nZGTNnzsS9e/dw79499OzZE3fu3MGoUaMwYMAAXLx4EYmJidi5cydWr14NAJg0aRKEQiEOHTrEjvXw4UOkp6ezayeKk5MTbt++3e7O14KCAly5cgVhYWFi15fH44ntr6CgAKB5V25FRQWOHj2KOXPmQElJqU3b9so3ZGdnw8zMDCoqKmLbvDzfqzpx4gSamppw584dWFpaokePHvD19cWff/7Jacfj8dhyHw0NDcjLy4O7uzt7XUpKCu7u7jh37hynn5OTE7KzswEAGhoa2L59O9zd3XHx4kWUlpbi2LFjsLKyEhlbfX09qqurOS9CCCGEEEIIIeR9QwlhQj5gt27dgr6+/muPU19fj5iYGHz77bfw9PSEiYkJAgMDMW3aNGzfvp3Tds2aNXBzc4OVlRUiIiJw9uxZPH/+HAAwY8YMpKSksLth8/PzcenSJQQFBXUqnufPnyMpKQn29vb417/+hf/+979ITU3F/fv3AQAfffQRpk2bBgsLC1haWuLrr79GbW1tm+T1y8LCwuDp6QlLS0vMmzcPeXl5WLZsGVxdXeHg4IBPP/0UmZmZIvuqqamBz+dDUVERenp60NPTg7S0NLZu3YqePXsiISEBFhYWGDduHFasWIGNGzeiqakJCgoK8PPz4yTK9+zZA0NDw3br0ra8r7du3RLb5vr16wAAc3Nz9tzDhw+hrKzMvrZu3Sqyb21tLVt72s3NDSUlJWAYhi050RmSfA5fnu9V/fHHH2hqakJMTAzi4uJw4MABVFRUwMPDg5NoNjc3Z3fIP378GEKhELq6upyxdHV12c9UC319fXbNKysrMXv2bJw8eRJ2dnbo3bs3Ro4cye6Kf1lsbCzU1NTYV8+ePV/5PgkhhBBCCCGEkLeFEsKEfABiYmI4Sb7y8nIAQF1dHadchCSys7M5Y+3duxclJSWora2Fh4cH51pSUhJKS0s5/VuXIOjevTuA5iQk0FwGQVpaGmlpaQCaH/w1bNgwGBsbi4yl9VyzZs1izxsaGsLAwIA9dnZ2RlNTE5uIe/DgAWbOnAlTU1OoqalBVVUVNTU17LqI0zr2luRg69IEurq67L1I6sqVK3B2dubsxHV1dUVNTQ1u374NAJg5cyaOHz+OO3fuAGhel8DAQIl279bW1gIArK2t2bUaOXKk2H6ampooKChAQUEB1NXV2+zGnTJlCpSVlaGiooKDBw9i586dsLW1BcMwnbrv1tr7HIqbb9asWZz3X1JNTU1obGzEV199BU9PTwwaNAgpKSm4ceMGJ5l/9erVTpdgAZrXvWXNHz58iCFDhmD//v1QV1fHypUrsWbNGjYR/7IlS5agqqqKfb28a5kQQgghhBBCCHkf0EPlCPkAzJo1C76+vuxxy25MLS0tVFZWdmosR0dHFBQUsMe6urq4fPkyACA9PZ2TiAUAOTk5zrGsrCz775aEZkt9YD6fD39/fwgEAkyYMAHJycmIj48XG0vrOFRVVSW+h4CAADx58gTx8fEwMjKCnJwcnJ2dOyxFICr2l89JWuu4MxwcHGBnZ4ekpCSMGDECxcXFSE9v/6E+FRUVAABtbW0AwOHDh9HY2Ajg/5PFpqamAIBr167BwcEBACAtLY0+ffoAAGRk2v6K37x5M9zd3aGmpsaO3TIWj8cT++C49mhpaeHSpUsir4mbb+XKlQgLC+v0XC1/hGhdtkFbWxtaWlpi/yCgpaUFaWlpPHjwgHP+wYMH0NPT45yrqKhg4zQ3N+fsvgaAfv36oV+/fiLnkZOTa/PzQgghhBBCCCGEvG8oIUzIB0BDQwMaGhptzjs4OLDJXEkpKCiwCcMWVlZWkJOTQ3l5+Wt9nR9oLhvRt29fbN26FS9evMCECRPEtn05jhbl5eW4e/cum/j+9ddfISUlxSbncnJysHXrVowaNQoA8Oeff+Lx48evFbck+Hw+hEIh55ylpSUOHjwIhmHYJHNOTg5UVFTQo0cPtt2MGTMQFxeHO3fuwN3dvcNyAkVFRZCVlYW1tTUAwMjIqE0bBwcHWFhYYMOGDfD19ZWoTrOenp7IddfQ0ICnpye2bNmCzz//vE0d4adPn4qtI+zg4IDExETOGnQ0n46ODnR0dDqM92Wurq4AmpPgLetbUVGBx48fi1wjoPl969+/PzIyMtiHBDY1NSEjIwMhISGctkVFRWxyvbWsrKxOx0oIIYQQQgghhLyPKCFMyHugpqYGJSUl7PHNmzdRUFAADQ0NGBoaiu3n6emJ3bt3tznfsvO2pqYGjx49QkFBAfh8vtiHYamoqCAsLAyhoaFoamrC4MGDUVVVhZycHKiqqiIgIEDie7G0tMSgQYMQHh6O4OBgdjdrZ8jLyyMgIAAbNmxAdXU1Pv/8c/j6+rK7OU1NTfG///0Pjo6OqK6uxqJFi15pns4yNjbGb7/9hrKyMigrK0NDQwOzZ89GXFwc5s6di5CQEFy7dg1RUVFYsGABJ0Hr5+eHsLAw7NixA0lJSR3OlZ2djSFDhrR7XzweDwKBAB4eHnB1dcWSJUtgaWmJxsZGnD59Go8ePYK0tLTE97dlyxa4urrCyckJK1euhK2tLV68eIETJ04gMTERV65cEdlv2LBhqKmpQXFxMfr27SvxfKKUl5ejoqIC5eXlEAqF7Ge5T58+UFZWhpmZGcaOHYt58+bh66+/hqqqKpYsWQILCwsMGzaMHcfCwgKxsbFs2YgFCxYgICAAjo6OcHJyQlxcHJ49e9amvnV2djZWrVr1WvdACCHvs7K13l0dAiGEEEII6WJUQ5iQ90Bubi4cHBzYnYkLFiyAg4MDli9f3m6/qVOnori4uM1DrlrGysvLQ3JyMhwcHNjdtOKsWrUKy5YtQ2xsLCwtLeHl5YX09HT06tWr0/fz6aefoqGhAcHBwZ3uCzQn/yZMmIBRo0ZhxIgRsLW15TwcbefOnaisrES/fv0wffp0fP7556+027SzwsLCIC0tDSsrK2hra6O8vBwGBgY4fPgwzp8/Dzs7O8yaNQuffvopIiMjOX3V1NQwceJEKCsrs7tU25OamoqZM2d22G7QoEHIy8uDubk55syZAysrK7i4uCAlJQWbN2/Gf/7zH4nvz8TEBPn5+Rg2bBgWLlyIvn37wsPDAxkZGUhMTBTbT1NTE+PHj8fevXslnkuc5cuXw8HBAVFRUaipqWE/y7m5uWybpKQkDBw4EN7e3nBzc4OsrCyOHj3KKf9x7do1VFVVsceffPIJNmzYgOXLl8Pe3h4FBQU4evQo50Fz586dQ1VVFT7++OPXvg9CCCGEEEIIIeR9xWNe50lChJAut2jRIlRXV2P79u1dHQpr1apV+O6771BYWNjpvtHR0fjhhx849YX/LoYPHw5ra2t89dVX7bY7cuQIFi5ciMLCQpF1gN9HhYWF8PDwQGlpaaceEvc++eSTT2BnZ4cvvvjijYxXXV0NNTU1VFVVdapGNiGEEEIIIYQQ8iok/X8o7RAm5AO3dOlSGBkZvZWHoXVWTU0NioqKkJCQgLlz53Z1OO+NyspKpKWlISsrC3PmzOmw/bNnzyAQCD6YZDAA2NraYt26dbh582ZXh/JKGhoaYGNjg9DQ0K4OhRBCCCGEEEIIeatohzAh5I0JDAxESkoKxo0bh+Tk5E7Vr23xd9whbGxsjMrKSixbtgxhYWFdHQ55R2iHMCGEEEIIIYSQd4l2CBOOjIwMWFpaQigUdnUoHcrKygKPx8PTp0/f+lw8Hg8//PDDa40RGBgoUU3Y1xUdHQ17e3v2OCIi4r3bhbtr1y7U19dj3759kJaWfqX3Mjo6uk0y2NjYGHFxcW80VlGGDh2K+fPnv/Fxy8rKUFVV9caTwcuWLcNnn332Rsf8Jxs0aBAOHjzY1WEQQgghhBBCCCFvFSWEPyCnT5+Gj48P9PX1O53IXLx4MSIjI9kdm/fu3YOfnx/MzMwgJSX1VpJg/xTx8fHYtWsXe/y2koovCwsLw+7du/HHH3+02y4rKwtjx45F9+7doaSkBHt7+zfy8K936cKFC5zE55tI5L+OhoYGrF+/Hv369YOSkhLU1NRgZ2eHyMhI3L17l20XGBgIHo8HHo8HPp+PPn36YOXKlXjx4gXbhmEYfP311xg4cCCUlZWhrq4OR0dHxMXFoba2VmwM9+/fR3x8PJYuXdqp+V4m6e+VK1euYMyYMVBTU4OSkhIGDBiA8vLydtepsLAQQ4YMgby8PHr27Ikvv/xSZLsVK1Zg2rRpAICvv/4aQ4cOhaqqart/TEhPT8fAgQOhoKCAbt26SfRHme+++w4WFhaQl5eHjY0NDh8+zLkeGRmJiIgIkeVXAgMDUVZW1uEchBBCCCGEEELI++7DKVBJ8OzZM9jZ2SE4OBgTJkyQuN+ZM2dQWlqKiRMnsufq6+uhra2NyMhIbN68+W2E+4+hpqbWJfNqaWnB09MTiYmJWL9+vdh2Z8+eha2tLcLDw6Grq4uff/4Z/v7+UFNTw+jRo99hxK9OW1u7q0Ng1dfXY8SIESgsLMSKFSvg6uoKbW1t3Lx5EykpKfjvf/+L2NhYtr2XlxcEAgHq6+tx+PBhzJkzB7KysliyZAkAYPr06fj+++8RGRmJhIQEaGtr4+LFi4iLi4OxsbHYROc333wDFxcXGBkZcc53NN/LJPm9UlpaisGDB+PTTz/FihUroKqqiuLiYsjLy4tdp+rqaowYMQLu7u7Ytm0bLl26hODgYKirq7fZ1fzjjz8iIiICAFBbWwsvLy94eXmJjfngwYOYOXMmYmJi8NFHH+HFixcoKioSGwvQ/HMwZcoUxMbGYvTo0UhOTsa4ceOQn5+Pvn37AgBGjhyJGTNm4MiRI/D29kZFxf+xd+9xMab//8Bfk5ppOg3pJKm2VCpUFKUoxDjlrLWh0tZu65TIudRiay1W4ZPTMrQkh5UzH6utNgmRJOesRI4fpSQdNNfvj35zf7trZposm929no9Hj4f7vq/7ut73dc/MPvY917zvEuzZswfTpk1jzcX58+cxadIkueNRFEV9qkwXHv9gfRV+P/yD9UVRFEVRFEX9degK4b+RoUOHYsWKFRgzZkyLzktKSsKgQYNYyRtTU1PExcUxiUFFicVixMTE4LPPPgOfz4ednR0OHDjAHJeUCEhJSYGjoyPU1NTQp08f3L59G0D9T+eVlJRw6dIlVr+xsbEtejCapHzC5s2b0alTJ6ipqcHb2xtlZWVMm+zsbAwaNAg6OjoQCARwd3dHTk6OzD4LCwvB4XCwb98+9O3bF3w+H05OTrhz5w6ys7Ph6OgIDQ0NDB06FC9evGDOa1gywt/fH+np6YiLi2NWakpWFaanp6NXr17g8Xjo0KEDFi5cyKzcTEhIQPv27VFdXc2KafTo0ZgyZYrMmL28vJCUlCR3rhYvXozly5ejT58+MDc3R0hICIYMGYKDBw/KPc/DwwMzZszAjBkzIBAIoKOjg4iICDQsO/7zzz/D0dERmpqaMDAwgI+PD54/fy6zzx07dqBt27Y4duwYrKysoKamhvHjx6OyshI7d+6Eqakp2rVrh1mzZrHKmzQsGWFqagoAGDNmDDgcDrMNABs3boS5uTm4XC6srKzw888/M8cCAgKaJMBra2uhp6eHbdu2yZ2LhtauXYuzZ8/it99+w6xZs9CzZ08YGxvD3d0dmzZtQnR0NKs9j8eDgYEBTExM8M0338DT0xNHjhwBAOzbtw+7d+/Gnj17sHjxYjg5OcHU1BSjRo3Cb7/9hv79+8uMIykpCV5eXk32yxtPGkU+V5YsWYJhw4bhhx9+gIODA8zNzTFy5Ejo6enJPGf37t2oqanB9u3bYWtri4kTJ2LWrFn48ccfWe0ePnyI69evY8iQIQCA2bNnY+HChXB2dpba77t37xASEoJVq1YhODgYlpaWsLGxgbe3t8xYgPqV/EOGDMG8efNgbW2N5cuXo0ePHtiwYQPTpk2bNhg2bBjznlJVVUVxcTGGDBmCR48eYdOmTfD398dnn30mdyyKoiiKoiiKoiiK+pTRhPC/QEZGBhwdHT9IXzExMUhISMCmTZtw/fp1hIaGYvLkyUhPT2e1W7JkCdasWYNLly5BWVkZAQEBAOqTeZ6enhCJRKz2IpEI/v7+UFJS/CVZUFCAffv24ejRozh16hSuXLnCWsn3+vVr+Pn54ezZszh//jwsLCwwbNgwvH79Wm6/kZGRCA8PR05ODpSVleHj44P58+cjLi4OGRkZKCgowNKlS6WeGxcXBxcXFwQFBeHJkyd48uQJOnXqhOLiYgwbNgxOTk64evUqNm7ciG3btmHFihUAgAkTJqCuro6VuHv+/DmOHz/OzJ00vXr1wqNHj1r8U/aysjJoa2s3227nzp1QVlbGxYsXERcXhx9//BE//fQTc7y2thbLly/H1atXcejQIRQWFsLf319un5WVlVi3bh2SkpJw6tQppKWlYcyYMThx4gROnDiBn3/+GZs3b2Z90dBQdnY2gPrXzJMnT5jt5ORkhISEYO7cucjPz8fXX3+NqVOnIjU1FQAQGBiIU6dO4cmTJ0xfx44dQ2VlJT7//PNm50Jiz549GDRoEBwcHKQe53A4cs/n8/moqakBUJ80tbKywqhRo6T2I+vLmpKSEty4cUOh93XD8d6HWCzG8ePHYWlpCaFQCD09PfTu3btJaQl/f394eHgw21lZWejXrx+4XC6zTygU4vbt2ygtLWX2HTlyhCkRoYicnBwUFxdDSUkJDg4O6NChA4YOHdpkhbCpqSmioqJY8Xh6erLaCIVCZGVlsfb16tULGRkZAAA1NTVER0cjJCQEaWlpOH/+PH777Tf06dNHamzV1dUoLy9n/VEURVEURVEURVHUp4YmhP8FHjx4AENDwz/dT3V1NaKjo7F9+3YIhUKYmZnB398fkydPxubNm1ltv/vuO7i7u8PGxgYLFy7EuXPnUFVVBaA+Mbdnzx5mNWxOTg6uXbuGqVOntiieqqoqJCQkwN7eHv369cP69euRlJSEp0+fAgAGDBiAyZMno0uXLrC2tsaWLVtQWVnZJHndWFhYGIRCIaytrRESEoLLly8jIiICrq6ucHBwwJdffskkGRsTCATgcrlQU1ODgYEBDAwM0KZNG8THx6NTp07YsGEDunTpgtGjR+Pbb7/FmjVrIBaLwefz4ePjw0qU79q1C8bGxqwkW2OS+/rgwQOF523fvn3Izs5WaL47deqEtWvXwsrKCpMmTcLMmTNZJUYCAgIwdOhQmJmZwdnZGevWrcPJkydRUVEhs8/a2lps3LgRDg4O6NevH8aPH4+zZ89i27ZtsLGxwYgRI9C/f3+ZcywpH9G2bVsYGBgw26tXr4a/vz+mTZsGS0tLzJkzB2PHjsXq1asBAH369GmyalgkEmHChAnQ0NBofuL+vzt37sDKyoq1b8yYMdDQ0ICGhobMZCEhBGfOnMF///tfDBgwAABw9+7dJn0poqioCIQQue9raeO9j+fPn6OiogLff/89hgwZgtOnT2PMmDEYO3Ys673UoUMHGBsbM9tPnz6Fvr4+qy/JtuQ9CtSXixg5cqTC8UhqZkdFRSE8PBzHjh1Du3bt4OHhgZKSEqadubk5dHR0mo2nYSxA/Xvq4cOHEIvFqKqqwtKlSxEXFwcPDw84OzvD09MTFy9elBpbTEwMBAIB89epUyeFr4uiKIqiKIqiKIqi/io0IfwPEh0dzSSlNDQ0mAc+vX37Vm6tT2kyMjJYfe3evRsFBQWorKzEoEGDWMcSEhJw79491vndu3dn/t2hQwcAYEoJjB49Gm3atEFycjKA+jIC/fv3Z/30v6GGYwUHBzP7jY2N0bFjR2bbxcUFYrGYKU/x7NkzBAUFwcLCAgKBAFpaWqioqGj2QVgNY5ckkLp168baJ68sgjQ3b96Ei4sLa/Woq6srKioq8OjRIwBAUFAQTp8+jeLiYgD18yJ5SJgsfD4fAJiHj9na2jJzNXTo0CbtU1NTMXXqVGzduhW2trYApN9rCWdnZ9b4Li4uuHv3LlPO4fLly/Dy8oKxsTE0NTXh7u4OAHLnWE1NDebm5sy2vr4+TE1NWUnZ951jV1dX1j5XV1fcvHmT2Q4MDGSS7s+ePcPJkydlrsCW9X6SJj4+Hrm5uQgICGjyILhjx45BQ0MDqqqqGDp0KD7//HNm5WrD8hst8fbtWwCQ+r6WNZ68+yyPpIzLqFGjEBoaCnt7eyxcuBAjRozApk2bmHaSXw+0RHl5OdLT01uUEJbEs2TJEowbNw49e/aESCQCh8PB/v37mXYpKSmYMWNGi+IB6t9TYrEY1dXVqKyshL6+Pk6dOgUjIyMEBwdj+/btuHPnjtRzFy1ahLKyMubv4cOHLR6foiiKoiiKoiiKoj42+lC5f5Dg4GBWHU3J6kEdHR3WT7QV4ejoiNzcXGZbX18fN27cAAAcP36clYgF6uuWNqSiosL8W5JQlCRyuFwufH19IRKJMHbsWCQmJiIuLk5mLA3jUPRn5QDg5+eHly9fIi4uDiYmJuDxeHBxcWn25/PSYm+8T9Faxy3h4OAAOzs7JCQkYPDgwbh+/TqOH5f/4BfJikjJKtkTJ06gtrYWwP8liyXS09Ph5eWFtWvXwtfXl9kv7V4r4s2bNxAKhRAKhdi9ezd0dXVRVFQEoVAod44bziVQP5/S9n2MOfb19cXChQuRlZWFc+fO4bPPPkPfvn2ltpX1frKwsGC+dJCQfOkhrQxH//79sXHjRnC5XBgaGkJZ+f8+di0tLXHr1q0WX4dk5WtpaWmTB+7JGu9977OOjg6UlZVhY2PD2m9tbY2zZ8/KPM/AwADPnj1j7ZNsGxgYAABOnjwJGxubFq2klcx1w3h4PB7MzMzkJu1lxSOJRaKkpATq6urg8/ng8/mYPn0667i5uTnrC42GeDxek89CiqIoiqIoiqIoivrU0ITwP4i2trbUhJSDgwOTzFUUn89H586dWftsbGzA4/FQVFTErAR9X4GBgejatSvi4+Px7t07jB07VmbbxnFIFBUV4fHjx0yi7vz581BSUmJ+gp+ZmYn4+HgMGzYMQP3Dq/73v//9qbgVweVyWQ9EA+qTZ7/88gsIIUySOTMzE5qamjAyMmLaBQYGIjY2FsXFxfD09Gw2UZafnw8VFRVmta+JiYnUdmlpaRgxYgRWrlyJr776inVM2r2WuHDhAmtbUou5TZs2uHXrFl6+fInvv/+eibPxwwI/FhUVFalznJmZCT8/P2ZfZmYmK3HYvn17jB49GiKRCFlZWXLLZsh6P33xxRcIDw/HlStXZNYRbkhdXV3m/Pr4+GDixIk4fPhwkzrChBCUl5dLrSNsbm4OLS0t3LhxA5aWlgqNJ+8+y8PlcuHk5NQkCX7nzh2ZrzegfjX5kiVLUFtbyyT8f/31V1hZWaFdu3YAIPW6m9OzZ0/weDzcvn0bbm5uAOrLkBQWFjYbT0pKCmbPns3s+/XXX+Hi4sJql5+fL/W+7tixo0VxUhRFURRFURRFUdSniiaE/0YqKipQUFDAbN+/fx+5ubnQ1tZm1e5sTCgUYufOnU32S1YLVlRU4MWLF8jNzQWXy22yElBCU1MTYWFhCA0NhVgshpubG8rKypCZmQktLS1WIq451tbWcHZ2xoIFCxAQENBkNasiVFVV4efnh9WrV6O8vByzZs2Ct7c3s+LPwsICP//8MxwdHVFeXo558+a91zgtZWpqigsXLqCwsBAaGhrQ1tbGtGnTEBsbi5kzZ2LGjBm4ffs2IiMjMWfOHNaD9Hx8fBAWFoatW7cq9PP7jIwM9O3bV+51paamYsSIEQgJCcG4ceOYmqlcLrfZB8sVFRVhzpw5+Prrr5GTk4P169djzZo1AOpLdnC5XKxfvx7BwcHIz8/H8uXLFZmiP83U1BQpKSlwdXUFj8dDu3btMG/ePHh7e8PBwQGenp44evQoDh48iDNnzrDODQwMxIgRI1BXV9ei16xEaGgojh8/joEDByIyMhJ9+/ZFu3btcOfOHZw8eRJt2rRRuC9vb28kJyczSebBgwdDV1cX165dw9q1azFz5kyMHj26yXlKSkrw9PTE2bNnpR5vCUU+V+bNm4fPP/8c/fr1Q//+/XHq1CkcPXoUaWlpzHmLFi1CcXEx87r18fHBt99+iy+//BILFixAfn4+4uLimBrU7969w8mTJxEWFsaK5+nTp3j69CkT07Vr16CpqQljY2Noa2tDS0sLwcHBiIyMRKdOnWBiYoJVq1YBqH84o8TAgQMxZswYpmxESEgI3N3dsWbNGgwfPhxJSUm4dOkStmzZwho/IyMDgwcP/lNzSlEU9Skr/H54a4dAURRFURRFtTZC/W2kpqYSAE3+/Pz85J738uVLoqqqSm7dusXaL60vExMTuX2JxWISGxtLrKysiIqKCtHV1SVCoZCkp6ezYiwtLWXOuXLlCgFA7t+/z+pr27ZtBAC5ePGi1Ots2EdjkZGRxM7OjsTHxxNDQ0OiqqpKxo8fT0pKSpg2OTk5xNHRkaiqqhILCwuyf/9+YmJiQtauXcuag+TkZEIIIffv3ycAyJUrV+TGIhKJiEAgYLb9/PzIqFGjmO3bt28TZ2dnwufzWdedlpZGnJycCJfLJQYGBmTBggWktra2ybVNmTKFaGtrk6qqKqnX3JCVlRXZs2ePzHmSxCftXru7u8s9z93dnUybNo0EBwcTLS0t0q5dO7J48WIiFouZNomJicTU1JTweDzi4uJCjhw5wprDxvPXeO5kXVfjOW18344cOUI6d+5MlJWVWa/Z+Ph4YmZmRlRUVIilpSVJSEhocl1isZiYmJiQYcOGSb3mkJAQufNCCCFVVVXk+++/J3Z2doTP5xMej0e6dOlCQkNDSVFRkczrkKauro5s3LiRODk5ETU1NaKlpUV69uxJ4uLiSGVlpczzTpw4QTp27Ejq6upaNF5jin6ubNu2jXTu3JmoqqoSOzs7cujQIdZxPz+/Jq+pq1evEjc3N8Lj8UjHjh3J999/zxw7c+YMMTIyahJPZGSk1HhEIhHTpqamhsydO5fo6ekRTU1N4unpSfLz81n9mJiYkMjISNa+ffv2EUtLS8LlcomtrS05fvw46/ijR4+IiooKefjwYTOzppiysjICgJSVlX2Q/iiKoiiKoiiKoihKHkX/P5RDyHs+1Yj6W5k3bx7Ky8uxefPm1g6FsXz5cuzfvx95eXktPjcqKgqHDh1i1UT9pxg4cCBsbW2xbt06ue1OnjyJuXPnIi8vj1WX9kPx8PCAvb09YmNjP3jframiogIdO3Zkalj/XRFC0Lt3b4SGhuKLL75o7XBabNasWXj37h3i4+NbOxTGggULUFpa2mTV8PuSlPwoKytrUf1ziqIoiqIoiqIoinofiv5/qJLMI9Q/ypIlS2BiYvJRHtTVUhUVFcjPz8eGDRswc+bM1g7nk1FaWork5GSkpaU1eZCVNG/evIFIJPooyeB/IrFYjOfPn2P58uVo27YtRo4c2doh/SkcDgdbtmzBu3fvWjuU99K1a1d88803rR0Gi56e3l9W9oSiKIqiKIqiKIqiWgtNCH+CUlJSYG1t3eShWX9G27ZtsXjxYla92g8hLS0NHA4Hr169UvicGTNmoGfPnvDw8EBAQIDC53E4HBw6dKjlQTbg7+//p2uuKiIqKgr29vbM9sKFC5tNfjs4OMDf3x8rV65kHownz/jx49G7d+8/Gyrjfe6lNKamph9kVfGHuN8NFRUVQV9fH4mJidi+fbvURPqHiv2vsmbNGjx8+LC1w3gvX331Fbp169baYbDs378fZ8+ebe0wKIqiKIqiKIqiKOqjognhj+T333+Hl5cXDA0NW5zYmj9/PsLDw5mHUz158gQ+Pj6wtLSEkpISZs+e/XGC/ovs2LED1dXV2Lt3b4sewNVQVFTUe5WLiIuLw44dO5htDw+Pv2Q+w8LCsHPnTvzxxx8y2xQWFuLw4cPIyMhAhw4doK6uDnt7e+zevfujxydNWlraeyVHs7Oz8dVXXzHbHzqx+75MTU1BCMHDhw8xcODAP9VXeXk5IiIiYGtrCz6fj/bt28PJyQk//PADSktLmXYeHh7gcDjgcDhQVVWFjY1NkxIJNTU1+OGHH2BnZwc1NTXo6OjA1dUVIpEItbW1MmO4evUqTpw4gVmzZrVovMYOHjyIwYMHo3379uBwODLfV1lZWRgwYADU1dWhpaWFfv364e3bt3L7TktLQ48ePcDj8dC5c2fWe6+hqVOnIjw8HADw3XffoU+fPlBTU0Pbtm1l9r1jxw50794dqqqq0NPTa3ZVvSKfyeHh4Vi4cKHUX1L4+/ujsLBQ7hgURVEURVEURVEU9XdAf2v+kbx58wZ2dnYICAhoUZ3Ss2fP4t69exg3bhyzr7q6Grq6uggPD8fatWs/Rrj/GgKBoFXG1dHRgVAoxMaNG7Fq1SqZ7c6dO4fu3btjwYIF0NfXx7Fjx+Dr6wuBQIARI0b8hRG/P11d3dYO4aMqKSmBm5sbysvLsXz5cvTs2RMCgQC3b9+GSCRCYmIiKzkZFBSEZcuWobKyEgkJCZg+fTratWuHL774AjU1NRAKhbh69SqWL18OV1dXaGlp4fz581i9ejUcHBxYK80bWr9+PSZMmAANDQ3WfnnjSfPmzRu4ubnB29sbQUFBUttkZWVhyJAhWLRoEdavXw9lZWVcvXpV7i8O7t+/j+HDhyM4OBi7d+9GSkoKAgMD0aFDBwiFQqZdXV0djh07huPHjwOoT5BPmDABLi4u2LZtm9S+f/zxR6xZswarVq1C79698ebNm2aTtYp8Jg8dOhSBgYE4efIkhg8fjpKSEuzZswfTpk1j2ty7dw/nz5/HpEmT5I5HURT1qTJdeLy1Q6D+ZQq/H97aIVAURVEU1QhdIfyRDB06FCtWrMCYMWNadF5SUhIGDRoEVVVVZp+pqSni4uKYxKCixGIxYmJi8Nlnn4HP58POzg4HDhxgjktKBKSkpMDR0RFqamro06cPbt++DaB+xaqSkhIuXbrE6jc2NrZF9Ygl5RM2b96MTp06QU1NDd7e3igrK2PaZGdnY9CgQdDR0YFAIIC7uztycnJk9llYWAgOh4N9+/ahb9++4PP5cHJywp07d5CdnQ1HR0doaGhg6NChePHiBXNew5IR/v7+SE9PR1xcHLOqUpJUSk9PR69evcDj8dChQwcsXLiQqdWakJCA9u3bo7q6mhXT6NGjMWXKFJkxe3l5ISkpSe5cLV68GMuXL0efPn1gbm6OkJAQDBkyBAcPHpR7noeHB2bMmIEZM2ZAIBBAR0cHERERaPjMyJ9//hmOjo7Q1NSEgYEBfHx88Pz5c5l97tixA23btsWxY8dgZWUFNTU1jB8/HpWVldi5cydMTU3Rrl07zJo1i1XepGHZBVNTUwDAmDFjwOFwmG0A2LhxI8zNzcHlcmFlZYWff/5Z7jU+fPgQ3t7eaNu2LbS1tTFq1ChWElAsFmPZsmUwMjICj8eDvb09Tp06xRwfMGAAZsyYwerzxYsX4HK5SElJkTt2Q4sXL0ZRUREuXryIqVOnonv37jAxMcHgwYObJA8BQE1NDQYGBjAzM0NUVBQsLCxw5MgRAPXvpd9//x0pKSmYPn067O3tYWZmBh8fH1y4cAEWFhZSY6irq8OBAwfg5eXV5Ji88aSZMmUKli5dCk9PT5ltQkNDMWvWLCxcuBC2trawsrKCt7c3eDyezHM2bdqEzz77DGvWrIG1tTVmzJiB8ePHN/lS69y5c1BRUYGTkxMA4Ntvv0VoaKjMchKlpaUIDw9HQkICfHx8YG5uju7duzdbE1qRz+Q2bdpg2LBhzPtUVVUVxcXFGDJkCB49eoRNmzbB398fn332mdyxKIqiKIqiKIqiKOpTRhPCn5iMjAw4Ojp+kL5iYmKQkJCATZs24fr16wgNDcXkyZORnp7OardkyRKsWbMGly5dgrKyMlPX19TUFJ6enhCJRKz2IpEI/v7+LapHXFBQgH379uHo0aM4deoUrly5wkqcvX79Gn5+fjh79izOnz8PCwsLDBs2DK9fv5bbb2RkJMLDw5GTkwNlZWX4+Phg/vz5iIuLQ0ZGBgoKCrB06VKp58bFxcHFxQVBQUF48uQJnjx5gk6dOqG4uBjDhg2Dk5MTrl69io0bN2Lbtm1YsWIFAGDChAmoq6tjJdmeP3+O48ePy62J3KtXLzx69KjFPzsvKyuDtrZ2s+127twJZWVlXLx4EXFxcfjxxx/x008/Mcdra2uxfPlyXL16FYcOHUJhYSH8/f3l9llZWYl169YhKSkJp06dQlpaGsaMGYMTJ07gxIkT+Pnnn7F582bWFw0NZWdnA6h/zTx58oTZTk5ORkhICObOnYv8/Hx8/fXXmDp1KlJTU6X2U1tbC6FQCE1NTWRkZCAzMxMaGhoYMmQIampqANTfzzVr1mD16tXIy8uDUCjEyJEjcffuXQBAYGAgEhMTWYn8Xbt2oWPHjhgwYECz8wvUJ5337t2LyZMnw9DQUGobDocjtw8+n8/EvHv3bnh6esLBwaFJOxUVFairq0vtIy8vD2VlZQp9VjQc7308f/4cFy5cgJ6eHvr06QN9fX24u7s3qbXr4eHBej1lZWU1STILhUJkZWWx9h05cgReXl7NzpvEr7/+CrFYjOLiYlhbW8PIyAje3t5NailzOByZJSrk6dWrFzIyMgDUJ9ejo6MREhKCtLQ0nD9/Hr/99hv69OnT4n4piqIoiqIoiqIo6lNBE8KfmAcPHshMNLVEdXU1oqOjsX37dgiFQpiZmcHf3x+TJ0/G5s2bWW2/++47uLu7w8bGBgsXLsS5c+dQVVUFoD6JtmfPHiaJlpOTg2vXrmHq1KktiqeqqgoJCQmwt7dHv379sH79eiQlJeHp06cA6ldvTp48GV26dIG1tTW2bNmCysrKJsnrxsLCwiAUCmFtbY2QkBBcvnwZERERcHV1hYODA7788kuZSUaBQAAul8usqDQwMECbNm0QHx+PTp06YcOGDejSpQtGjx6Nb7/9FmvWrIFYLAafz4ePjw8rUb5r1y4YGxvDw8NDZqyS+/rgwQOF523fvn3Izs5WaL47deqEtWvXwsrKCpMmTcLMmTNZqzEDAgIwdOhQmJmZwdnZGevWrcPJkydRUVEhs8/a2lps3LgRDg4O6NevH8aPH4+zZ89i27ZtsLGxwYgRI9C/f3+ZcywpH9G2bVsYGBgw26tXr4a/vz+mTZsGS0tLzJkzB2PHjsXq1aul9rN3716IxWL89NNP6NatG6ytrSESiVBUVIS0tDSmzwULFmDixImwsrLCypUrYW9vz6xWlpQJOHz4MNPvjh074O/vr3Ay8sWLF3j16lWTh/717NkTGhoa0NDQkFmaoa6uDrt27UJeXh6TgL579y66dOmi0NgNPXjwAG3atIGenp7MNtLGex+SutdRUVEICgrCqVOn0KNHDwwcOJBJtgOAsbExOnTowGw/ffoU+vr6rL709fVRXl7Oqj18+PDhZlf3No5HLBYjOjoasbGxOHDgAEpKSjBo0CBW4tvKyuq9SsQYGhri4cOHEIvFqKqqwtKlSxEXFwcPDw84OzvD09MTFy9elHpudXU1ysvLWX8URVEURVEURVEU9amhCeFWEh0dzSSQNDQ0UFRUBAB4+/Ytq1yEIjIyMlh97d69GwUFBaisrMSgQYNYxxISEnDv3j3W+d27d2f+LUnoSEoJjB49Gm3atEFycjKA+gRa//79WT/9b6jhWMHBwcx+Y2NjdOzYkdl2cXGBWCxmylM8e/YMQUFBsLCwgEAggJaWFioqKph5kaVh7JLkU8Ofmuvr68stiyDNzZs34eLiwkoSurq6oqKiAo8ePQJQX6f19OnTKC4uBqBYYpHP5wOoX3ULALa2tsxcDR06tEn71NRUTJ06FVu3boWtrS0A6fdawtnZmTW+i4sL7t69y5RzuHz5Mry8vGBsbAxNTU24u7sDgNw5VlNTg7m5ObOtr68PU1NTVt3a951jV1dX1j5XV1fcvHlTavurV6+ioKAAmpqazLVra2ujqqoK9+7dQ3l5OR4/fiy3T1VVVUyZMgXbt28HUP/lRn5+vsxV0sHBway5lic5ORm5ubkQCoVNHrQWHx8PDQ0N8Pl8BAUFITQ0FN988w0AsEp6tMTbt2/B4/Gkvt5kjbd7927W9UhWwTZHUhpGsorbwcGB+eJBMpdAfSmVmJiYFl3HzZs38fjx4xY95E8sFqO2thbr1q2DUCiEs7Mz9uzZg7t377K+mLh161aLS/YA9e9TsViM6upqVFZWQl9fH6dOnYKRkRGCg4Oxfft23LlzR+q5MTExEAgEzF+nTp1aPD5FURRFURRFURRFfWz0oXKtJDg4GN7e3sy2ZPWojo4OSktLW9SXo6MjcnNzmW19fX3cuHEDAHD8+HFWIhZAk7qfKioqzL8lCSZJEojL5cLX1xcikQhjx45FYmIi4uLiZMbSMA4tLS2Fr8HPzw8vX75EXFwcTExMwOPx4OLi0uxP3aXF3niforWOW8LBwQF2dnZISEjA4MGDcf36deahWLKUlJQA+L9VsydOnEBtbS2A/0sWS6Snp8PLywtr166Fr68vs1/avVbEmzdvIBQKIRQKsXv3bujq6qKoqAhCoVDuHDecS6B+PqXt+xhz3FBFRQV69uzJSoBLtOQhdoGBgbC3t8ejR48gEokwYMAAmJiYSG27bNkyhIWFNRmrbdu2zBcZEsbGxgAATU1NvHr1inVs0qRJWLJkCfh8Pjp06MAqtWJpaYlbt24pHL+Ejo4OKisrUVNTAy6Xq9B4I0eORO/evZl2jT8XZJF8SWRjY8Pab21tLffLBAMDAzx79oy179mzZ9DS0mJe70eOHGlSM/194tHV1YWOjk6zXyApoqSkBOrq6uDz+eDz+awHBAKAubk560uShhYtWoQ5c+Yw2+Xl5TQpTFEURVEURVEURX1yaEK4lWhra0utC+vg4MAkcxXF5/PRuXNn1j4bGxvweDwUFRUxK0HfV2BgILp27Yr4+Hi8e/eO+em9NI3jkCgqKsLjx4+ZxPf58+ehpKTE/PQ+MzMT8fHxGDZsGID6B4j973//+1NxK4LL5bIeiAbUJ7p++eUXEEKYJHNmZiY0NTVhZGTEtAsMDERsbCyKi4vh6enZbOInPz8fKioqzGpfWYnItLQ0jBgxAitXrsRXX33FOibtXktcuHCBtS2pxdymTRvcunULL1++xPfff8/E2fhhgR+LioqK1DnOzMyEn58fsy8zM7NJ0lGiR48e2Lt3L/T09GR+0WBoaIjMzEzW6z0zMxO9evVitrt16wZHR0ds3boViYmJ2LBhg8y49fT0mpRkUFJSgre3N3bt2oWlS5cqVN5FIBDIvGc+Pj5YvHgxrly50qSOcG1tLWpqaqTWEba3twcA3Lhxg/l3c+NpampCU1Oz2XgbMzU1haGhYZMk+J07d6SubJdwcXHBiRMnWPt+/fVXuLi4MNuHDx9u8hpvjmQV+O3bt5n3Y0lJCf73v//JfE+1RH5+vtSazorUI+bxeHIftEdRFEVRFEVRFEVRnwKaEP5IKioqUFBQwGzfv38fubm50NbWZlYTSiMUCrFz584m+yWrQisqKvDixQvk5uaCy+XKTKBpamoiLCwMoaGhEIvFcHNzQ1lZGTIzM6GlpcVKxDXH2toazs7OWLBgAQICApqsZlWEqqoq/Pz8sHr1apSXl2PWrFnw9vaGgYEBAMDCwgI///wzHB0dUV5ejnnz5r3XOC1lamqKCxcuoLCwkClDMG3aNMTGxmLmzJmYMWMGbt++jcjISMyZM4e1utPHxwdhYWHYunUrEhISmh0rIyMDffv2lXtdqampGDFiBEJCQjBu3DimxjKXy232wXJFRUWYM2cOvv76a+Tk5GD9+vVYs2YNgPoVrFwuF+vXr0dwcDDy8/OxfPlyRaboTzM1NUVKSgpcXV3B4/HQrl07zJs3D97e3nBwcICnpyeOHj2KgwcP4syZM1L7mDRpElatWoVRo0Zh2bJlMDIywoMHD3Dw4EHMnz8fRkZGmDdvHiIjI2Fubg57e3uIRCLk5uY2WVUcGBiIGTNmQF1d/b1KCkRHRyMtLQ29evXCsmXL4OjoCHV1deTl5SErKwtdu3ZVuK/Zs2fj+PHjGDhwIJYvXw43Nzdoamri0qVLWLlyJbZt29Yk4QvUr4jt0aMHzp49K/V4S5SUlDBf2ABgEr+SutocDoeZWzs7O9jb22Pnzp24desW62GCvr6+6NixI1M2Ijg4GBs2bMD8+fMREBCA3377Dfv27WNW0j9//hyXLl1iPZwRqH8dS2Kqq6tjPvs6d+4MDQ0NWFpaYtSoUQgJCcGWLVugpaWFRYsWoUuXLujfvz/TT5cuXRATE8PcY0U/kzMyMjB48OA/NacURVGfssLvh7d2CBRFURRFUVRrI9RHkZqaSgA0+fPz85N73suXL4mqqiq5desWa7+0vkxMTOT2JRaLSWxsLLGysiIqKipEV1eXCIVCkp6ezoqxtLSUOefKlSsEALl//z6rr23bthEA5OLFi1Kvs2EfjUVGRhI7OzsSHx9PDA0NiaqqKhk/fjwpKSlh2uTk5BBHR0eiqqpKLCwsyP79+4mJiQlZu3Ytaw6Sk5MJIYTcv3+fACBXrlyRG4tIJCICgYDZ9vPzI6NGjWK2b9++TZydnQmfz2ddd1paGnFyciJcLpcYGBiQBQsWkNra2ibXNmXKFKKtrU2qqqqkXnNDVlZWZM+ePTLnSRKftHvt7u4u9zx3d3cybdo0EhwcTLS0tEi7du3I4sWLiVgsZtokJiYSU1NTwuPxiIuLCzly5AhrDhvPX+O5k3Vdjee08X07cuQI6dy5M1FWVma9ZuPj44mZmRlRUVEhlpaWJCEhgdVvw/tNCCFPnjwhvr6+REdHh/B4PGJmZkaCgoJIWVkZIYSQuro6EhUVRTp27EhUVFSInZ0dOXnyZJO5ev36NVFTUyPTpk1rcqxx7LK8evWKLFq0iHTp0oXweDzC5/NJ9+7dSUREBHn58iXTzt3dnYSEhMjtq6qqisTExJBu3boRVVVVoq2tTVxdXcmOHTukvuYk4uPjibOzM2ufIuM1JhKJpL7mIiMjWe1iYmKIkZERUVNTIy4uLiQjI6PJ2I0/31JTU4m9vT3hcrnEzMyMiEQi5thPP/1EXF1dm8Qj6z2QmprKtCkrKyMBAQGkbdu2RFtbm4wZM4YUFRWx+gHAGk+Rz+RHjx4RFRUV8vDhQ4XmrjllZWUEAPMapSiKoiiKoiiKoqiPSdH/D+UQ8p5PNaI+mnnz5qG8vBybN29u7VAYy5cvx/79+5GXl9fic6OionDo0CFW7dt/ioEDB8LW1hbr1q2T2+7kyZOYO3cu8vLyoKz84Rfme3h4wN7eHrGxsR+873+awsJCmJubIzs7Gz169GjtcN7b27dvYWVlhb1797LKMPxdjBw5Em5ubpg/f35rh8JYsGABSktLsWXLlg/SX3l5OQQCAcrKylpUU52iKIqiKIqiKIqi3oei/x+qJPMI1WqWLFkCExOTj/6gLkVUVFQgPz8fGzZswMyZM1s7nE9GaWkpkpOTkZaW1uShU9K8efMGIpHooySDKcXU1tbi6dOnCA8Ph7Oz8986GQzU15NOSEj4S2ptfwxubm744osvWjsMFj09vb+slApFURRFURRFURRFtRaanfoEtW3bFosXL27tMAAAM2bMwJ49ezB69GgEBAS0djifDAcHB5SWlmLlypXMg/HkGT9+/F8QFSVPZmYm+vfvD0tLS1bt278zDw+P1g7hvX1KK4Ml5s6d29ohUBRFURRFURRFUdRHR0tGUB9ESkoKZsyYgfz8fLRp06a1w5ErLS0N/fv3R2lpKdq2bftRx+JwOEhOTsbo0aPfuw9/f3+8evUKhw4d+mBxSdO4tMfChQvx5s0brF+//qOOK8+HmL+WMjU1xezZszF79uy/bMz3NWXKFFhbW38yXyD93Tk7O2PevHkYN27cB+mPloygKIqiKIqiKIqi/kq0ZATVYr///ju8vLxgaGgIDofTogTk/PnzER4eziSDnzx5Ah8fH1haWkJJSelvkVz7VMXFxWHHjh3MtoeHx18yn2FhYdi5cyf++OMPue3S0tIwatQodOjQAerq6rC3t8fu3bs/enytrby8HBEREbC1tQWfz0f79u3h5OSEH374AaWlpUw7Dw8PcDgccDgcqKqqwsbGBvHx8czxHTt2MMcb/qmqqsod/+rVqzhx4gRmzZql8FjSHDx4EIMHD0b79u3B4XBk1vrOysrCgAEDoK6uDi0tLfTr1w9v376V23daWhp69OgBHo+Hzp07s17HDU2dOhXh4eEAgO+++w59+vSBmpqazC9ssrOzMXDgQLRt2xbt2rWDUCjE1atX5caiyOdbeHg4Fi5cKLVcj7+/PwoLC+WOQVEURVEURVEURVF/BzQhTDHevHkDOzs7/Oc//2nReWfPnsW9e/dYq+qqq6uhq6uL8PBw2NnZfehQ/1UEAsFHX8ksjY6ODoRCITZu3Ci33blz59C9e3f88ssvyMvLw9SpU+Hr64tjx479RZH+9UpKSuDs7AyRSISwsDBcuHABOTk5+O6773DlyhUkJiay2gcFBeHJkye4ceMGvL29MX36dOzZs4c5rqWlhSdPnrD+Hjx4IDeG9evXY8KECdDQ0GjRWI29efMGbm5uWLlypcw2WVlZGDJkCAYPHoyLFy8iOzsbM2bMgJKS7P+E3L9/H8OHD0f//v2Rm5uL2bNnIzAwEP/9739Z7erq6nDs2DGMHDkSAFBTU4MJEybgm2++kdpvRUUFhgwZAmNjY1y4cAFnz56FpqYmhEIhamtr5V5nc59vQ4cOxevXr3Hy5EkA9ff5P//5Dxr+kObevXv/ii88KIr65zJdeFzqH0VRFEVRFPUvQihKCgAkOTlZobbTp08n48ePl3nc3d2dhISEKNRXXV0diY6OJqampkRVVZV0796d7N+/nzmemppKAJAzZ86Qnj17Ej6fT1xcXMitW7cIIYTcv3+fcDgckp2dzep37dq1xNjYmNTV1TF9lJaWyowjMjKS2NnZkU2bNhEjIyPC5/PJhAkTyKtXr5g2Fy9eJJ6enqR9+/ZES0uL9OvXj1y+fJnVT8N5vH//PgFA9u7dS9zc3IiqqipxdHQkt2/fJhcvXiQ9e/Yk6urqZMiQIeT58+dMH35+fmTUqFHMvwGw/u7fv08IISQtLY04OTkRLpdLDAwMyIIFC0htbS0hhJCdO3cSbW1tUlVVxYpv1KhRZPLkyaxrbmjnzp3EyMhI5jzJMmzYMDJ16tRm28XHxxMzMzOioqJCLC0tSUJCAut449dhUVERmTBhAhEIBKRdu3Zk5MiRzPUTUv/6+fbbb0nHjh0Jl8sldnZ25OTJk8zx/v37k+nTp7PGeP78OVFRUSFnzpwhhBBiYmJC1q5dKzfur7/+mqirq5Pi4mKpx8ViMfNvaa9/CwsLMnHiREIIISKRiAgEArnjNfbu3TsiEAjIsWPHWPubG0seyevzypUrTY717t2bhIeHtyjG+fPnE1tbW9a+zz//nAiFQta+33//nXTo0IE1Z4TInpfs7GwCgBQVFTH78vLyCABy9+5dhWKT9/k2depU5j3x5s0bsmjRIjJ48GAycOBAsmDBAuLm5kYyMzMVGqesrIwAIGVlZQq1pyiK+iuYLDgm9Y+iKIqiKIr6+1P0/0PpCmHqT8vIyICjo+MH6SsmJgYJCQnYtGkTrl+/jtDQUEyePBnp6emsdkuWLMGaNWtw6dIlKCsrMw+8MzU1haenJ0QiEau9SCSCv7+/3BWNjRUUFGDfvn04evQoTp06hStXrmDatGnM8devX8PPzw9nz57F+fPnYWFhgWHDhuH169dy+42MjER4eDhycnKgrKwMHx8fzJ8/H3FxccjIyEBBQQGWLl0q9dy4uDi4uLgwq0CfPHmCTp06obi4GMOGDYOTkxOuXr2KjRs3Ytu2bVixYgUAYMKECairq8ORI0eYvp4/f47jx4/LfVhgr1698OjRoxb/VL6srAza2tpy2yQnJyMkJARz585Ffn4+vv76a0ydOhWpqalS29fW1kIoFEJTUxMZGRnIzMyEhoYGhgwZgpqaGmZ+1qxZg9WrVyMvLw9CoRAjR47E3bt3AQCBgYFITExEdXU10++uXbvQsWNHDBgwQKFrE4vF2Lt3LyZPngxDQ0OpbTgcjtw++Hw+E/P7yMvLQ1lZmULvuz871vPnz3HhwgXo6emhT58+0NfXh7u7O86ePctq5+HhAX9/f2Y7KysLnp6erDZCoRBZWVmsfUeOHIGXl1ezcyZhZWWF9u3bY9u2baipqcHbt2+xbds2WFtbw9TUlGnH4XBklqiQp1evXsjIyAAAqKmpITo6GiEhIUhLS8P58+fx22+/oU+fPi3ul6IoiqIoiqIoiqI+FTQhTP1pDx48kJkYa4nq6mpER0dj+/btEAqFMDMzg7+/PyZPnozNmzez2n733Xdwd3eHjY0NFi5ciHPnzqGqqgpAfdJvz549TNIvJycH165dw9SpU1sUT1VVFRISEmBvb49+/fph/fr1SEpKwtOnTwEAAwYMwOTJk9GlSxdYW1tjy5YtqKysbJK8biwsLAxCoRDW1tYICQnB5cuXERERAVdXVzg4OODLL7+UmRQVCATgcrlQU1ODgYEBDAwM0KZNG8THx6NTp07YsGEDunTpgtGjR+Pbb7/FmjVrIBaLwefz4ePjw0qU79q1C8bGxvDw8JAZq+S+Nle+oKF9+/YhOzu72flevXo1/P39MW3aNFhaWmLOnDkYO3YsVq9eLbX93r17IRaL8dNPP6Fbt26wtraGSCRCUVER0tLSmD4XLFiAiRMnwsrKCitXroS9vT1iY2MBAGPHjgUAHD58mOl3x44d8Pf3Vzgh+eLFC7x69QpWVlas/T179oSGhgY0NDTwxRdfSD23rq4Ou3btQl5eHisBXVZWxpwr+Rs6dKjMGB48eIA2bdpAT09PZhtZY7WUpIZ0VFQUgoKCcOrUKfTo0QMDBw5kEu0AYGxsjA4dOjDbT58+hb6+PqsvfX19lJeXs2oPHz58mCkXoQhNTU2kpaVh165d4PP50NDQwKlTp3Dy5EkoKysz7aysrCAQCFp8vYaGhnj48CHEYjGqqqqwdOlSxMXFwcPDA87OzvD09MTFixelnltdXY3y8nLWH0VRFEVRFEVRFEV9amhCmFJYdHQ0K2FVVFQEAHj79m2zD8BqLCMjg9XX7t27UVBQgMrKSgwaNIh1LCEhAffu3WOd3717d+bfkiTU8+fPAQCjR49GmzZtkJycDKA+4de/f3/W6sGGGo4VHBzM7Dc2NkbHjh2ZbRcXF4jFYty+fRsA8OzZMwQFBcHCwgICgQBaWlqoqKhg5kWWhrFLEmbdunVj7ZNci6Ju3rwJFxcXVlLT1dUVFRUVePToEYD62rKnT59GcXExAMUSoXw+HwBQWVkJALC1tZWbsExNTcXUqVOxdetW2NraApB+ryUxu7q6ss53dXXFzZs3pcZy9epVFBQUQFNTk+lLW1sbVVVVuHfvHsrLy/H48WO5faqqqmLKlCnYvn07gPovC/Lz81krWxsKDg5mxS5PcnIycnNzIRQKmzxsLT4+HhoaGuDz+QgKCkJoaCirRq6mpiZyc3NZfz/99JPMsd6+fQsejyf13skaa/fu3axrkayCbY7kAWuSFdwODg5Yu3YtrKysmHkEgISEBMTExCjUp8TNmzfx+PFjDBw4UOFz3r59iy+//BKurq44f/48MjMz0bVrVwwfPpw177du3cKYMWNaFA9Q/5oXi8Worq5GZWUl9PX1cerUKRgZGSE4OBjbt2/HnTt3pJ4bExMDgUDA/HXq1KnF41MURVEURVEURVHUx6bcfBOKqhccHAxvb29mW7J6VEdHB6WlpS3qy9HREbm5ucy2vr4+bty4AQA4fvw4KxELADwej7WtoqLC/FuSFJMkrrhcLnx9fSESiTB27FgkJiYiLi5OZiwN49DS0lL4Gvz8/PDy5UvExcXBxMQEPB4PLi4uzf48X1rsjfdJruVDcnBwgJ2dHRISEjB48GBcv34dx4/Lf4hMSUkJAEBXVxcAcOLECebBXZJksUR6ejq8vLywdu1a+Pr6Mvul3ev3UVFRgZ49e0p9oJckPkUEBgbC3t4ejx49gkgkwoABA2BiYiK17bJlyxAWFtZkrLZt2zJfDEgYGxsDqE/uvnr1inVs0qRJWLJkCfh8Pjp06NCkdImSkhI6d+6s8DXo6OigsrISNTU14HK5Co01cuRI9O7dm2nX+D0mi+QLFxsbG9Z+a2truV9+GBgY4NmzZ6x9z549g5aWFvPaOXLkCAYNGtSiL5QSExNRWFiIrKws5toSExPRrl07HD58GBMnTlS4L2lKSkqgrq4OPp8PPp+P6dOns46bm5vD3Nxc6rmLFi3CnDlzmO3y8nKaFKYoiqIoiqIoiqI+OTQhTClMW1tbal1YBwcHJpmrKD6f3yQBZmNjAx6Ph6KiIri7u/+pWAMDA9G1a1fEx8fj3bt3TKkAaWQl4oqKivD48WMm8X3+/HkoKSkxpQIyMzMRHx+PYcOGAQAePnyI//3vf38qbkVwuVzU1dWx9llbW+OXX34BIYRJMmdmZkJTUxNGRkZMu8DAQMTGxqK4uBienp7NJqvy8/OhoqLCrPaVlThNS0vDiBEjsHLlSnz11VesY9LutSTmzMxM+Pn5MfsyMzObJB4levTogb1790JPT09m4t7Q0BCZmZms109mZiZ69erFbHfr1g2Ojo7YunUrEhMTsWHDBhlXD+jp6TUpy6CkpARvb2/s2rULS5cuVahcikAgaFHCtzn29vYAgBs3bjD/bm4sTU1NaGpqtngsU1NTGBoaNkmA37lzR25ZCxcXF5w4cYK179dff4WLiwuzffjw4Savl+ZUVlZCSUmJtTpasv0hvkjJz8+Hg4NDk/2K1CPm8XhNvryiKIqiKIqiKIqiqE8NTQhTjIqKChQUFDDb9+/fR25uLrS1tZnVj9IIhULs3LmzyX7JqtCKigq8ePECubm54HK5MhN+mpqaCAsLQ2hoKMRiMdzc3FBWVobMzExoaWmxEofNsba2hrOzMxYsWICAgIAmq1kVoaqqCj8/P6xevRrl5eWYNWsWvL29YWBgAACwsLDAzz//DEdHR5SXl2PevHnvNU5LmZqa4sKFCygsLGTKJkybNg2xsbGYOXMmZsyYgdu3byMyMhJz5sxhrUb18fFBWFgYtm7dioSEhGbHysjIQN++feVeV2pqKkaMGIGQkBCMGzeOqbHM5XLlPlhu3rx58Pb2hoODAzw9PXH06FEcPHgQZ86ckdp+0qRJWLVqFUaNGoVly5bByMgIDx48wMGDBzF//nwYGRlh3rx5iIyMhLm5Oezt7SESiZCbm9tkVXFgYCBmzJgBdXX19yorEB0djbS0NPTq1QvLli2Do6Mj1NXVkZeXh6ysLHTt2rVF/RFCmHlrSE9PT+qDEHV1ddGjRw+cPXu2SUK4pUpKSpgvPwAwiV9JjWoOh8PMq52dHezt7bFz507cunULBw4cYPrx9fVFx44dmbIRwcHB2LBhA+bPn4+AgAD89ttv2LdvH7Mq/fnz57h06RLrQYdA/Rcxkpjq6uqYz5HOnTtDQ0MDgwYNwrx58zB9+nTMnDkTYrEY33//PZSVldG/f3+mny5duiAmJoa5v4p+vmVkZGDw4MF/ak4piqI+ZYXfD2/tECiKoiiKoqjWRijq/0tNTSUAmvz5+fnJPe/ly5dEVVWV3Lp1i7VfWl8mJiZy+xKLxSQ2NpZYWVkRFRUVoqurS4RCIUlPT2fFWFpaypxz5coVAoDcv3+f1de2bdsIAHLx4kWp19mwj8YiIyOJnZ0diY+PJ4aGhkRVVZWMHz+elJSUMG1ycnKIo6MjUVVVJRYWFmT//v3ExMSErF27ljUHycnJhBBC7t+/TwCQK1euyI1FJBIRgUDAbPv5+ZFRo0Yx27dv3ybOzs6Ez+ezrjstLY04OTkRLpdLDAwMyIIFC0htbW2Ta5syZQrR1tYmVVVVUq+5ISsrK7Jnzx6Z8ySJT9q9dnd3l3seIYTEx8cTMzMzoqKiQiwtLUlCQgLreMP5I4SQJ0+eEF9fX6Kjo0N4PB4xMzMjQUFBpKysjBBCSF1dHYmKiiIdO3YkKioqxM7Ojpw8ebLJuK9fvyZqampk2rRpTY41voeyvHr1iixatIh06dKF8Hg8wufzSffu3UlERAR5+fIl087d3Z2EhITI7EckEkmdPwDkyZMnMs+Lj48nzs7OrH3NjdWS8SMjI1ntYmJiiJGREVFTUyMuLi4kIyOjydiNPytSU1OJvb094XK5xMzMjIhEIubYTz/9RFxdXZvEI+v1lJqayrQ5ffo0cXV1JQKBgLRr144MGDCAZGVlsfoBwBpPkc+3R48eERUVFfLw4UOF5q45ZWVlBADz+qQoiqIoiqIoiqKoj0nR/w/lEELIh08zU/828+bNQ3l5OTZv3tzaoTCWL1+O/fv3Iy8vr8XnRkVF4dChQ6zat/8UAwcOhK2tLdatWye33cmTJzF37lzk5eVBWfmf9WOCwsJCmJubIzs7Gz169GjtcN7L27dvYWVlhb1797LKMPxdjBw5Em5ubpg/f35rh8JYsGABSktLsWXLlg/SX3l5OQQCAcrKylpUn5yiKIqiKIqiKIqi3oei/x/a9LfIFPUelixZAhMTk4/yMLSWqqioQH5+PjZs2ICZM2e2djifjNLSUiQnJyMtLa3Jg7KkefPmDUQi0T8qGVxbW4unT58iPDwczs7Of9tkMFBfmzkhIeEvqVv9Mbi5ueGLL75o7TBY9PT0sHz58tYOg6IoiqIoiqIoiqI+KrpCmPrH8ff3x549ezB69GgkJiaiTZs2Le7jn7hC2NTUFKWlpYiIiEBYWFhrh9Mq0tLS0L9/f1haWuLAgQPo1q1ba4dE/YPRFcIURVEURVEURVHUX4muEKb+MikpKbC2tkZdXV1rhwIA2LFjB6qrq7F3794myeC0tDRwOBy8evVKbh9RUVF/OhnM4XBw6NChP9WHv78/Ro8e/af6kCgsLERZWZnUZHBUVBTr4WQLFy5s9dXVH2L+GvPw8AAhBLdv35aaDDY1NUVsbOwHHfNjmjJlCqKjo1s7jH8MZ2dn/PLLL60dBkVRFEVRFEVRFEV9VDQhTAEAfv/9d3h5ecHQ0LDFibj58+cjPDycSb4+efIEPj4+sLS0hJKSEmbPnv1xgv4XiIuLw44dO5htDw+Pv2Q+w8LCsHPnTvzxxx9y26WlpWHUqFHo0KED1NXVYW9vj927d3/0+FpbeXk5IiIiYGtrCz6fj/bt28PJyQk//PADSktLmXYeHh7gcDjgcDhQVVWFjY0N4uPjWX3V1NTghx9+gJ2dHdTU1KCjowNXV1eIRCLU1tbKjOHq1as4ceIEZs2a1aLxGjt48CAGDx6M9u3bg8PhyPwiJCsrCwMGDIC6ujq0tLTQr18/vH37Vm7faWlp6NGjB3g8Hjp37sx6LTc0depUhIeHAwC+++479OnTB2pqamjbtq3U9tnZ2Rg4cCDatm2Ldu3aQSgU4urVq3JjUeQzLjw8HAsXLpRa+sbf3x+FhYVyx6AoiqIoiqIoiqKov4N/TnFQ6k958+YN7OzsEBAQgLFjxyp83tmzZ3Hv3j2MGzeO2VddXQ1dXV2Eh4dj7dq1HyPcfw2BQNAq4+ro6EAoFGLjxo1YtWqVzHbnzp1D9+7dsWDBAujr6+PYsWPw9fWFQCDAiBEj/sKI/zolJSVwc3NDeXk5li9fjp49e0IgEOD27dsQiURITExk1WgOCgrCsmXLUFlZiYSEBEyfPh3t2rXDF198gZqaGiaZuXz5cri6ukJLSwvnz5/H6tWr4eDgwFq53dD69esxYcIEaGhosPbLG0+aN2/ewM3NDd7e3ggKCpLaJisrC0OGDMGiRYuwfv16KCsr4+rVq1BSkv2d4v379zF8+HAEBwdj9+7dSElJQWBgIDp06AChUMi0q6urw7Fjx3D8+HEA9QnyCRMmwMXFBdu2bWvSb0VFBYYMGYKRI0ciPj4e7969Q2RkJIRCIR4+fAgVFRWZ19ncZ9zQoUMRGBiIkydPYvjw4SgpKcGePXswbdo0ps29e/dw/vx5TJo0Sea1UxRFfcpMFx5v7RCov5nC74e3dggURVEURX1gdIUwBaA+EbJixQqMGTOmReclJSVh0KBBUFVVZfaZmpoiLi6OSQwqSiwWIyYmBp999hn4fD7s7Oxw4MAB5rik3ENKSgocHR2hpqaGPn364Pbt2wDqSyIoKSnh0qVLrH5jY2Nb9MA7SfmEzZs3o1OnTlBTU4O3tzfKysqYNtnZ2Rg0aBB0dHQgEAjg7u6OnJwcmX0WFhaCw+Fg37596Nu3L/h8PpycnHDnzh1kZ2fD0dERGhoaGDp0KF68eMGc17BkhL+/P9LT0xEXF8esApWsWExPT0evXr3A4/HQoUMHLFy4EO/evQMAJCQkoH379qiurmbFNHr0aEyZMkVmzF5eXkhKSpI7V4sXL8by5cvRp08fmJubIyQkBEOGDMHBgwflngcAGzduhLm5ObhcLqysrPDzzz/Lbf/w4UN4e3ujbdu20NbWxqhRo1grNsViMZYtWwYjIyPweDzY29vj1KlTzPEBAwZgxowZrD5fvHgBLpeLlJSUZuNteM1FRUW4ePEipk6diu7du8PExASDBw9ukjwEADU1NRgYGMDMzAxRUVGwsLDAkSNHANS/Nn///XekpKRg+vTpsLe3h5mZGXx8fHDhwgVYWFhIjaGurg4HDhyAl5dXk2PyxpNmypQpWLp0KTw9PWW2CQ0NxaxZs7Bw4ULY2trCysoK3t7e4PF4Ms/ZtGkTPvvsM6xZswbW1taYMWMGxo8f3+RLonPnzkFFRQVOTk4AgG+//RahoaEy6zvfunULJSUlWLZsGaysrGBra4vIyEg8e/YMDx48kBmPIp9xbdq0wbBhw5jXvaqqKoqLizFkyBA8evQImzZtgr+/Pz777DOZfVAURVEURVEURVHUp44mhKk/JSMjA46Ojh+kr5iYGCQkJGDTpk24fv06QkNDMXnyZKSnp7PaLVmyBGvWrMGlS5egrKyMgIAAAPWJaE9PT4hEIlZ7kUgEf39/uasZGysoKMC+fftw9OhRnDp1CleuXGEl+l6/fg0/Pz+cPXsW58+fh4WFBYYNG4bXr1/L7TcyMhLh4eHIycmBsrIyfHx8MH/+fMTFxSEjIwMFBQVYunSp1HPj4uLg4uKCoKAgPHnyBE+ePEGnTp1QXFyMYcOGwcnJCVevXsXGjRuxbds2rFixAgAwYcIE1NXVsZKCz58/x/Hjx5m5k6ZXr1549OhRi38mX1ZWBm1tbbltkpOTERISgrlz5yI/Px9ff/01pk6ditTUVKnta2trIRQKoampiYyMDGRmZkJDQwNDhgxBTU0NMz9r1qzB6tWrkZeXB6FQiJEjR+Lu3bsAgMDAQCQmJrIS47t27ULHjh0xYMAAha5NLBZj7969mDx5MgwNDaW24XA4cvvg8/lMzLt374anpyccHByatFNRUYG6urrUPvLy8lBWVqbQe6/heO/j+fPnuHDhAvT09NCnTx/o6+vD3d0dZ8+eZbXz8PCAv78/s52VldUkySwUCpGVlcXad+TIEXh5eTU7bxJWVlZo3749tm3bhpqaGrx9+xbbtm2DtbU1TE1NmXYcDkdmiQp5evXqhYyMDAD1yfXo6GiEhIQgLS0N58+fx2+//YY+ffq0uF+KoiiKoiiKoiiK+lTQhDD1pzx48EBmYqwlqqurER0dje3bt0MoFMLMzAz+/v6YPHkyNm/ezGr73Xffwd3dHTY2Nli4cCHOnTuHqqoqAPVJvz179jBJv5ycHFy7dg1Tp05tUTxVVVVISEiAvb09+vXrh/Xr1yMpKQlPnz4FUL/adPLkyejSpQusra2xZcsWVFZWNkleNxYWFgahUAhra2uEhITg8uXLiIiIgKurKxwcHPDll1/KTIoKBAJwuVxmBaiBgQHatGmD+Ph4dOrUCRs2bECXLl0wevRofPvtt1izZg3EYjH4fD58fHxYifJdu3bB2NgYHh4eMmOV3Fd5qy4b27dvH7Kzs5ud79WrV8Pf3x/Tpk2DpaUl5syZg7Fjx2L16tVS2+/duxdisRg//fQTunXrBmtra4hEIhQVFSEtLY3pc8GCBZg4cSKsrKywcuVK2NvbMw+Jk5QJOHz4MNPvjh074O/vr3Ay8sWLF3j16hWsrKxY+3v27AkNDQ1oaGjILM1QV1eHXbt2IS8vj0lA3717F126dFFo7IYePHiANm3aQE9PT2YbaeO9D0kd6aioKAQFBeHUqVPo0aMHBg4cyCTbAcDY2BgdOnRgtp8+fQp9fX1WX/r6+igvL2fVHj58+DBGjhypcDyamppIS0vDrl27wOfzoaGhgVOnTuHkyZNQVv6/KkhWVlbvVXLF0NAQDx8+hFgsRlVVFZYuXYq4uDh4eHjA2dkZnp6euHjxotRzq6urUV5ezvqjKIqiKIqiKIqiqE8NTQhTComOjmYSXhoaGigqKgIAvH37llUuQhEZGRmsvnbv3o2CggJUVlZi0KBBrGMJCQm4d+8e6/zu3bsz/5YkoJ4/fw6gvgxCmzZtkJycDKA+4de/f3/WysGGGo4VHBzM7Dc2NkbHjh2ZbRcXF4jFYqY8xbNnzxAUFAQLCwsIBAJoaWmhoqKCmRdZGsYuSZY1/Gm8vr4+cy2KunnzJlxcXFhJTVdXV1RUVODRo0cA6uvKnj59GsXFxQAUS4Ty+XwAQGVlJQDA1taWmauhQ4c2aZ+amoqpU6di69atsLW1BSD9XktidnV1ZZ3v6uqKmzdvSo3l6tWrKCgogKamJtOXtrY2qqqqcO/ePZSXl+Px48dy+1RVVcWUKVOwfft2APVfFuTn57NWtTYUHBzMil2e5ORk5ObmQigUNnnQWnx8PDQ0NMDn8xEUFITQ0FB88803AABCiNx+ZXn79i14PJ7U+ydrvN27d7OuR7IKtjmSUiuSVdwODg5Yu3YtrKysmLkE6kuTxMTEtOg6bt68icePH2PgwIEKn/P27Vt8+eWXcHV1xfnz55GZmYmuXbti+PDhrLm/detWi0vgAPWve7FYjOrqalRWVkJfXx+nTp2CkZERgoODsX37dty5c0fquTExMRAIBMxfp06dWjw+RVEURVEURVEURX1s9KFylEKCg4Ph7e3NbEtWj+ro6KC0tLRFfTk6OiI3N5fZ1tfXx40bNwAAx48fZyViATSpU9rwoVGShJgkacXlcuHr6wuRSISxY8ciMTERcXFxMmNpGIeWlpbC1+Dn54eXL18iLi4OJiYm4PF4cHFxafan+dJib7xP0VrHLeHg4AA7OzskJCRg8ODBuH79OvMQL1lKSkoAALq6ugCAEydOoLa2FsD/JYsl0tPT4eXlhbVr18LX15fZL+1ev4+Kigr07NmTSSg3JIlPEYGBgbC3t8ejR48gEokwYMAAmJiYSG27bNkyhIWFNRmrbdu2zBcDEsbGxgDqV6++evWKdWzSpElYsmQJ+Hw+OnTowCpdYmlpiVu3bikcv4SOjg4qKytRU1MDLper0HgjR45E7969mXaN32eySL50sbGxYe23traW+wWIgYEBnj17xtr37NkzaGlpMa+fI0eONKlB3pzExEQUFhYiKyuLubbExES0a9cOhw8fxsSJExXuS5qSkhKoq6uDz+eDz+ezHhAIAObm5jA3N5d67qJFizBnzhxmu7y8nCaFKYqiKIqiKIqiqE8OTQhTCtHW1pZaF9bBwYFJ5iqKz+ejc+fOrH02Njbg8XgoKiqCu7v7n4o1MDAQXbt2RXx8PN69e8eUCpCmcRwSRUVFePz4MZP4Pn/+PJSUlJhSAZmZmYiPj8ewYcMA1D/w7H//+9+filsRXC4XdXV1rH3W1tb45ZdfQAhhksyZmZnQ1NSEkZER0y4wMBCxsbEoLi6Gp6dns4mq/Px8qKioMKt9ZSVO09LSMGLECKxcuRJfffUV65i0ey2JOTMzE35+fsy+zMzMJklHiR49emDv3r3Q09OTmbg3NDREZmYm6/WTmZmJXr16MdvdunWDo6Mjtm7disTERGzYsEHG1QN6enpNSjIoKSnB29sbu3btwtKlSxUqlyIQCGS+znx8fLB48WJcuXKlSR3h2tpa1NTUSK0jbG9vDwC4ceMG8+/mxtPU1ISmpmaz8TZmamoKQ0PDJknwO3fuSF0pLuHi4oITJ06w9v36669wcXFhtg8fPtzkNdOcyspKKCkpsVZHS7Y/xJcp+fn5Ums6K1KPmMfjyX3QHkVRFEVRFEVRFEV9CmhCmAJQvwKzoKCA2b5//z5yc3Ohra3NrH6URigUYufOnU32S1aFVlRU4MWLF8jNzQWXy5WZ8NPU1ERYWBhCQ0MhFovh5uaGsrIyZGZmQktLi5U4bI61tTWcnZ2xYMECBAQENFnNqghVVVX4+flh9erVKC8vx6xZs+Dt7Q0DAwMAgIWFBX7++Wc4OjqivLwc8+bNe69xWsrU1BQXLlxAYWEhUzZh2rRpiI2NxcyZMzFjxgzcvn0bkZGRmDNnDms1qo+PD8LCwrB161YkJCQ0O1ZGRgb69u0r97pSU1MxYsQIhISEYNy4cUyNZS6XK/fBcvPmzYO3tzccHBzg6emJo0eP4uDBgzhz5ozU9pMmTcKqVaswatQoLFu2DEZGRnjw4AEOHjyI+fPnw8jICPPmzUNkZCTMzc1hb28PkUiE3NzcJquKAwMDMWPGDKirq79XSYHo6GikpaWhV69eWLZsGRwdHaGuro68vDxkZWWha9euCvc1e/ZsHD9+HAMHDsTy5cvh5uYGTU1NXLp0CStXrsS2bduaJHyB+pXKPXr0wNmzZ6Ueb4mSkhLmCxAATOJXUqeaw+Ewc2tnZwd7e3vs3LkTt27dwoEDB5h+fH190bFjR6ZsRHBwMDZs2ID58+cjICAAv/32G/bt28esTH/+/DkuXbrEetghUP9ljCSmuro65rOkc+fO0NDQwKBBgzBv3jxMnz4dM2fOhFgsxvfffw9lZWX079+f6adLly6IiYlh7rGin3EZGRkYPHjwn5pTiqKoT1nh98NbOwSKoiiKoiiqtRGKIoSkpqYSAE3+/Pz85J738uVLoqqqSm7dusXaL60vExMTuX2JxWISGxtLrKysiIqKCtHV1SVCoZCkp6ezYiwtLWXOuXLlCgFA7t+/z+pr27ZtBAC5ePGi1Ots2EdjkZGRxM7OjsTHxxNDQ0OiqqpKxo8fT0pKSpg2OTk5xNHRkaiqqhILCwuyf/9+YmJiQtauXcuag+TkZEIIIffv3ycAyJUrV+TGIhKJiEAgYLb9/PzIqFGjmO3bt28TZ2dnwufzWdedlpZGnJycCJfLJQYGBmTBggWktra2ybVNmTKFaGtrk6qqKqnX3JCVlRXZs2ePzHmSxCftXru7u8s9jxBC4uPjiZmZGVFRUSGWlpYkISGBdbzh/BFCyJMnT4ivry/R0dEhPB6PmJmZkaCgIFJWVkYIIaSuro5ERUWRjh07EhUVFWJnZ0dOnjzZZNzXr18TNTU1Mm3atCbHGt9DWV69ekUWLVpEunTpQng8HuHz+aR79+4kIiKCvHz5kmnn7u5OQkJC5PZVVVVFYmJiSLdu3YiqqirR1tYmrq6uZMeOHVLvoUR8fDxxdnZm7VNkvMZEIpHUexgZGclqFxMTQ4yMjIiamhpxcXEhGRkZTcZu/HmRmppK7O3tCZfLJWZmZkQkEjHHfvrpJ+Lq6tokHlmvqdTUVKbN6dOniaurKxEIBKRdu3ZkwIABJCsri9UPANZ4inzGPXr0iKioqJCHDx8qNHfNKSsrIwCY1yhFURRFURRFURRFfUyK/n8oh5D3fKoRRf1/8+bNQ3l5OTZv3tzaoTCWL1+O/fv3Iy8vr8XnRkVF4dChQ6zat/8UAwcOhK2tLdatWye33cmTJzF37lzk5eVBWfmf9UOCwsJCmJubIzs7Gz169GjtcN7b27dvYWVlhb1797LKMPxdjBw5Em5ubpg/f35rh8JYsGABSktLsWXLlg/SX3l5OQQCAcrKylpUo5yiKIqiKIqiKIqi3oei/x+qJPMIRSloyZIlMDEx+SgPQ2upiooK5OfnY8OGDZg5c2Zrh/PJKC0tRXJyMtLS0po8JEuaN2/eQCQS/aOSwbW1tXj69CnCw8Ph7Oz8t04GA/X1mRMSEv6S2tUfg5ubG7744ovWDoNFT08Py5cvb+0wKIqiKIqiKIqiKOqjoiuEqX8Uf39/7NmzB6NHj0ZiYiLatGnT4j7+iSuETU1NUVpaioiICISFhbV2OK0iLS0N/fv3h6WlJQ4cOIBu3bq1dkjUPxxdIUxRFEVRFEVRFEX9legKYapFUlJSYG1tjbq6utYOpVlpaWngcDh49epVk2M7duxAdXU19u7d+17JYKA+ISxJBnM4HBw6dOj9g0V9knr06NF/qg9FREVFsR4wtnDhQmaVdGFhIcrKyj5oMtjDwwOzZ89mtk1NTREbG/vB+pc2xp/tixCC27dvy00G/1X360PYtm0bfQDaBzRx4kSsWbOmtcOgKIqiKIqiKIqiqI+KJoT/QX7//Xd4eXnB0NCwxYnM+fPnIzw8nEmiPnnyBD4+PrC0tISSktIHS8r9G8XFxWHHjh3M9odMcsoTFhaGnTt34o8//pDbLi0tDaNGjUKHDh2grq4Oe3t77N69u8XjZWdn46uvvnrfcP92CCHYunUrXFxcoKWlBQ0NDdja2iIkJAQFBQVMu6ioKHA4HHA4HCgrK8PU1BShoaGoqKgAUJ+slxxv/Hf+/HmZ41dVVSEiIgKRkZEKjyXN9evXMW7cOJiamoLD4chM6hcXF2Py5Mlo3749+Hw+unXrhkuXLsmdo6KiIgwfPhxqamrQ09PDvHnz8O7duybtdu7cCTc3NwDAwYMHMXjwYLRv3x4cDkfqSv2nT59iypQpMDAwgLq6Onr06IFffvlFbiwHDx7EoEGDoKurCy0tLbi4uOC///0vq014eDi+++47lJWVNTk/KioKaWlpcsegKIqiKIqiKIqiqL+Df06BUApv3ryBnZ0dAgICMHbsWIXPO3v2LO7du4dx48Yx+6qrq6Grq4vw8HCsXbv2Y4T7ryEQCFplXB0dHQiFQmzcuBGrVq2S2e7cuXPo3r07FixYAH19fRw7dgy+vr4QCAQYMWKEwuPp6up+iLD/Fggh8PHxwaFDh7B48WKsXbsWhoaGePz4MZKTk7FixQrWlwC2trY4c+YM3r17h8zMTAQEBKCyspL1IMYzZ87A1taWNU779u1lxnDgwAFoaWnB1dWVtV+RsRqqrKyEmZkZJkyYgNDQUKltSktL4erqiv79++PkyZPQ1dXF3bt30a5dO5nx1dXVYfjw4TAwMMC5c+fw5MkT+Pr6QkVFBdHR0ay2hw8fxsiRIwHUf465ubnB29sbQUFBUvv29fXFq1evcOTIEejo6CAxMRHe3t64dOkSHBwcpJ7z+++/Y9CgQYiOjkbbtm0hEong5eWFCxcuMOd07doV5ubm2LVrF6ZPn47a2lqsW7cOs2bNYvp5/vw5kpOT8fXXX8u8duqfz3Th8dYOgaLeW+H3w1s7BIqiKIqiKKqV0RXC/yBDhw7FihUrMGbMmBadl5SUhEGDBkFVVZXZZ2pqiri4OCYxqCixWIyYmBh89tln4PP5sLOzw4EDB5jjknIPKSkpcHR0hJqaGvr06YPbt28DqF8tqaSk1GTlYWxsbIseXCcpn7B582Z06tQJampq8Pb2Zq38y87OxqBBg6CjowOBQAB3d3fk5OTI7FOyknPfvn3o27cv+Hw+nJyccOfOHWRnZ8PR0REaGhoYOnQoXrx4wZzXsASBv78/0tPTERcXx6zkLCwsBACkp6ejV69e4PF46NChAxYuXMispkxISED79u1RXV3Nimn06NGYMmWKzJi9vLyQlJQkd64WL16M5cuXo0+fPjA3N0dISAiGDBmCgwcPyj2vscYlIzgcDn766SeMGTMGampqsLCwwJEjR1jnyLtmaaqrqxEWFoaOHTtCXV0dvXv3brJq85dffoGtrS14PB5MTU1ZJQCWLVuGrl27NunX3t4eERERCl/r3r17kZSUhL179yIiIgLOzs4wNjaGs7MzVq5cCZFIxGqvrKwMAwMDGBkZ4fPPP8ekSZOazEX79u1hYGDA+lNRUZEZQ1JSEry8vJrsV2SshpycnLBq1SpMnDgRPB5PapuVK1eiU6dOEIlE6NWrFz777DMMHjwY5ubmMvs9ffo0bty4gV27dsHe3h5Dhw7F8uXL8Z///Ac1NTVMu6qqKpw+fZpJCE+ZMgVLly6Fp6enzL7PnTuHmTNnolevXjAzM0N4eDjatm2Ly5cvyzwnNjYW8+fPh5OTEywsLBAdHQ0LCwscPXqU1a7he4bD4QAABgwYgOvXryM5ORleXl4wMjKSOQ5FURRFURRFURRFfepoQphCRkYGHB0dP0hfMTExSEhIwKZNm3D9+nWEhoZi8uTJSE9PZ7VbsmQJ1qxZg0uXLkFZWRkBAQEA6pOKnp6eTRJqIpEI/v7+UFJS/CVbUFCAffv24ejRozh16hSuXLmCadOmMcdfv34NPz8/nD17FufPn4eFhQWGDRuG169fy+03MjIS4eHhyMnJgbKyMnx8fDB//nzExcUhIyMDBQUFWLp0qdRz4+Li4OLigqCgIDx58gRPnjxBp06dUFxcjGHDhsHJyQlXr17Fxo0bsW3bNqxYsQIAMGHCBNTV1bESe8+fP8fx48eZuZOmV69eePToEZN0VlRZWRm0tbVbdI403377Lby9vZGXl4dhw4Zh0qRJKCkpAYBmr1maGTNmICsrC0lJScjLy8OECRMwZMgQ3L17FwBw+fJleHt7Y+LEibh27RqioqIQERHBrNYNCAjAzZs3kZ2dzfR55coV5OXlYerUqQpf1549e2BlZcUkMRuTJBJl4fP5rKTo+zh79qxC79sPMdaRI0fg6OiICRMmQE9PDw4ODti6dSurTVRUFExNTZntrKwsdOvWDfr6+sw+oVCI8vJyXL9+ndmXkpKCjh07okuXLgrH06dPH+zduxclJSUQi8VISkpCVVUVPDw8mDYeHh7w9/eX2YdYLMbr16+bvM579eqFixcvorq6GsrKypg7dy7WrVuHEydO4PTp0zh9+jSGD6er6yiKoiiKoiiKoqi/L5oQpvDgwQMYGhr+6X6qq6sRHR2N7du3QygUwszMDP7+/pg8eXKTn6t/9913cHd3h42NDRYuXIhz586hqqoKABAYGIg9e/Ywq2FzcnJw7dq1FiXsgPqVhwkJCbC3t0e/fv2wfv16JCUl4enTpwDqV/1NnjwZXbp0gbW1NbZs2YLKysomyevGwsLCIBQKYW1tjZCQEFy+fBkRERFwdXWFg4MDvvzyS6Smpko9VyAQgMvlQk1NjVkF2qZNG8THx6NTp07YsGEDunTpgtGjR+Pbb7/FmjVrIBaLwefz4ePjw0qU79q1C8bGxqwkWGOS+/rgwQOF523fvn3Izs5u8XxL4+/vjy+++AKdO3dGdHQ0KioqcPHiRQBo9pobKyoqgkgkwv79+9G3b1+Ym5sjLCwMbm5uzLz8+OOPGDhwICIiImBpaQl/f3/MmDGDKZlhZGQEoVDImkeRSAR3d3eYmZkpfF137tyBlZUVa9/s2bOhoaEBDQ0NuStIL1++jMTERAwYMIC1v0+fPsz5kj9ZXr16hbKysmbft7LGaqk//vgDGzduhIWFBf773//im2++waxZs7Bz506mjY6ODmvF8NOnT1nJYADMtuQ9CLDLRShq3759qK2tRfv27cHj8fD1118jOTkZnTt3ZtoYGxujQ4cOMvtYvXo1Kioq4O3tzdpvaGiImpoaPH36FHV1dYiLi8OsWbMwbNgwDB48GEOGDMGpU6ek9lldXY3y8nLWH0VRFEVRFEVRFEV9amhC+F8kOjqalWwqKioCALx9+5ZVLkIRGRkZrL52796NgoICVFZWYtCgQaxjCQkJuHfvHuv87t27M/+WJG2eP38OoL4MQps2bZCcnAwA2LFjB/r3789afdhQw7GCg4OZ/cbGxujYsSOz7eLiArFYzJSnePbsGYKCgmBhYQGBQAAtLS1UVFQw8yJLw9glCa5u3bqx9kmuRVE3b96Ei4sLa2Wpq6srKioq8OjRIwBAUFAQTp8+jeLiYgD18+Lv7y93NSqfzwdQXycWqK8vK5mroUOHNmmfmpqKqVOnYuvWrUw9W2n3WlEN50pdXR1aWlrM3ChyzQ1du3YNdXV1sLS0ZMWTnp7OvL5u3rzZpKauq6sr7t69i7q6OgD187hnzx5UVVWhpqYGiYmJMldZ7969mzVWRkaGzGtdsmQJcnNzsXTp0iYPcbt27Ro0NDTA5/PRq1cvuLi4YMOGDaw2e/fuRW5uLutPlrdv3wKA1PetrLGKiopY19K4jq88YrEYPXr0QHR0NBwcHPDVV18hKCgImzZtYtrMmDEDKSkpCvcJ1NdiPnr0aIsTwhEREXj16hXOnDmDS5cuYc6cOfD29sa1a9eYNgkJCYiJiZF6fmJiIr799lvs27cPenp6rGMN3zNisRi1tbVISUmBra0txowZg0OHDslccR8TEwOBQMD8derUqUXXRVEURVEURVEURVF/BfpQuX+R4OBg1mo4yepCHR0dlJaWtqgvR0dHVsJKX18fN27cAAAcP36clYgF0KQ2acPaqJKEoGRVKJfLha+vL0QiEcaOHYvExETExcXJjKVhHFpaWgpfg5+fH16+fIm4uDiYmJiAx+PBxcWl2Z/XS4u98T5Fax23hIODA+zs7JCQkIDBgwfj+vXrOH5c/oONJOUZJA98O3HiBGprawH8X+JLIj09HV5eXli7di18fX2Z/dLutaIa18D9M3NTUVGBNm3a4PLly2jTpg3rmLzVtI15eXmBx+MhOTkZXC4XtbW1GD9+vNS2I0eORO/evZltyevawsKC+WJBQldXF7q6uk0SjABgZWWFI0eOQFlZGYaGhuByuU3adOrUibXCVZ727duDw+FIfd/KGuvdu3es+9iSkiAdOnSAjY0Na5+1tTV++eUXmecYGBgwq8Elnj17xhwDgIsXL+Ldu3fo06ePwrHcu3cPGzZsQH5+PvOlhZ2dHTIyMvCf//yHlaSWJikpCYGBgdi/f7/UOsUN3zMqKioICwtjHdfX12d98dTQokWLMGfOHGa7vLycJoUpiqIoiqIoiqKoTw5NCP+LaGtrS00COTg4MMlcRfH5/CbJKxsbG/B4PBQVFcHd3f1PxRoYGIiuXbsiPj4e7969w9ixY2W2lZVEKyoqwuPHj5nE9/nz56GkpMT81D8zMxPx8fEYNmwYAODhw4f43//+96fiVgSXy2VWq0pIkmuEECbJnJmZCU1NTVb5gcDAQMTGxqK4uBienp7NJpvy8/OhoqLCJM5MTEyktktLS8OIESOwcuVKfPXVV6xj0u71h6DoNUs4ODigrq4Oz58/R9++fWX2mZmZydqXmZkJS0tLJomsrKwMPz8/iEQicLlcTJw4sUlyXEJTUxOamppN9n/xxRfw8fHB4cOHMWrUqGavlcvlftA55HK5sLGxwY0bNzB48GCFxlJWVn7vGFxdXZskwO/cuSPz9QTUr8j/7rvv8Pz5cyZJ/uuvv0JLS4tJLh8+fBjDhw9vkuCXR7LavXE98TZt2jT7ZcOePXsQEBCApKQkmXWA8/PzYWRkBB0dHdb+qKioZmPj8XgyH8xHURRFURRFURRFUZ8KmhD+B6moqEBBQQGzff/+feTm5kJbWxvGxsYyzxMKhaxaoBKS1YQVFRV48eIFcnNzmUSUNJqamggLC0NoaCjEYjHc3NxQVlaGzMxMaGlpwc/PT+Frsba2hrOzMxYsWICAgACZCTt5VFVV4efnh9WrV6O8vByzZs2Ct7c3szrRwsICP//8MxwdHVFeXo558+a91zgtZWpqigsXLqCwsBAaGhrQ1tbGtGnTEBsbi5kzZ2LGjBm4ffs2IiMjMWfOHFbiy8fHB2FhYdi6dSsSEhKaHSsjIwN9+/aVe12pqakYMWIEQkJCMG7cOKa+K5fL/SAPlpNF0WuWsLS0xKRJk+Dr64s1a9bAwcEBL168QEpKCrp3747hw4dj7ty5cHJywvLly/H5558jKysLGzZsQHx8PKuvwMBAWFtbA0CTBLIiJk6ciIMHD2LixIlYtGgRhEIh9PX18eDBA+zdu7dFCU6Jly9fsmrrAkDbtm1llnMRCoU4e/YsZs+e3eKxGqqpqWG+EKqpqUFxcTFyc3OhoaHBJJBDQ0PRp08fREdHw9vbGxcvXsSWLVuwZcsWpp8NGzYgOTmZKRsxePBg2NjYYMqUKfjhhx/w9OlThIeHY/r06UzS9MiRI1i2bBkrnpKSEubLHABMIlpSc7tLly7o3Lkzvv76a6xevRrt27fHoUOH8Ouvv+LYsWNMP76+vujYsSNTNiIxMRF+fn6Ii4tD7969mbnm8/kQCATMeRkZGU2S7BTVWOH39MGCFEVRFEVRFEX9jRHqHyM1NZUAaPLn5+cn97yXL18SVVVVcuvWLdZ+aX2ZmJjI7UssFpPY2FhiZWVFVFRUiK6uLhEKhSQ9PZ0VY2lpKXPOlStXCABy//59Vl/btm0jAMjFixelXmfDPhqLjIwkdnZ2JD4+nhgaGhJVVVUyfvx4UlJSwrTJyckhjo6ORFVVlVhYWJD9+/cTExMTsnbtWtYcJCcnE0IIuX//PgFArly5IjcWkUhEBAIBs+3n50dGjRrFbN++fZs4OzsTPp/Puu60tDTi5OREuFwuMTAwIAsWLCC1tbVNrm3KlClEW1ubVFVVSb3mhqysrMiePXtkzpMkPmn32t3dXe557u7uJCQkhNmWN3cSAoGAiEQiZru5a248Rk1NDVm6dCkxNTUlKioqpEOHDmTMmDEkLy+PaXPgwAFiY2NDVFRUiLGxMVm1apXU+Pv27UtsbW2lzkfD+yVLXV0d2bRpE+nduzdRV1cnXC6XmJmZkaCgIHLjxg2mnbT70pDkdSXtT969u379OuHz+eTVq1cKj9WS8Rvf/6NHj5KuXbsSHo9HunTpQrZs2cI6HhkZ2eTzobCwkAwdOpTw+Xyio6ND5s6dy9zfgoICwuPxSEVFBesckUgkNZ7IyEimzZ07d8jYsWOJnp4eUVNTI927dycJCQmsftzd3Vmffe7u7s1+Pr59+5YIBAKSlZXVojmUpaysjAAgZWVlH6Q/iqIoiqIoiqIoipJH0f8P5RBCyEfIM1N/M/PmzUN5eTk2b97c2qEwli9fjv379yMvL6/F50ZFReHQoUNyH8z1dzVw4EDY2tpi3bp1ctudPHkSc+fORV5eHpSV6Y8BGiKEwMLCAtOmTWPVfP27mTBhAnr06IFFixa1digt9uOPP+LMmTM4ceJEa4fC2LhxI5KTk3H69OkP0l95eTkEAgHKyspaVN+coiiKoiiKoiiKot6Hov8f2vR32dS/0pIlS2BiYvJRHobWUhUVFcjPz8eGDRswc+bM1g7nk1FaWork5GSkpaVh+vTpzbZ/8+YNRCIRTQY38uLFC2zYsAFPnz7F1KlTWzucP2XVqlUteqDep8TIyOiTS2SrqKhg/fr1rR0GRVEURVEURVEURX1UdIUw9cnx9/fHnj17MHr0aCQmJr5XPdZ/4gphU1NTlJaWIiIiAmFhYa0dzt8Wh8OBjo4O4uLi4OPj09rhUP9gdIUwRVEURVEURVEU9VeiK4QphaSkpMDa2hp1dXWtHQpjx44dqK6ubvJwrrS0NHA4HLx69arZPqKiov5UMpjD4eDQoUPvfT5Qn9gePXr0n+qjocLCQpSVlTVJBkdFRcHe3p7ZXrhw4UddWe3h4cF6kJmpqSliY2M/6hgfEiEEL168aJIM/tD362Pbtm0bffjZBzRx4kSsWbOmtcOgKIqiKIqiKIqiqI+OJoT/AX7//Xd4eXnB0NCwxYnM+fPnIzw8nEm8PnnyBD4+PrC0tISSktJHS8r9G8TFxWHHjh3M9sdMcjYUFhaGnTt34o8//pDbLi0tDaNGjUKHDh2grq4Oe3t77N69u8XjZWdn46uvvnrfcP92CCHYunUrXFxcoKWlBQ0NDdja2iIkJAQFBQVMu6ioKHA4HHA4HCgrK8PU1BShoaGoqKhg9ffLL7/Aw8MDAoEAGhoa6N69O5YtW4aSkhKZMVRVVSEiIgKRkZEtHq+h69evY9y4cTA1NQWHw5GZ2C8uLsbkyZPRvn178Pl8dOvWDZcuXZI7T0VFRRg+fDjU1NSgp6eHefPm4d27d03a7dy5E25ubgCAgwcPYvDgwWjfvj04HI7UL3WePn2KKVOmwMDAAOrq6ujRowd++eUXubEcPHgQgwYNgq6uLrS0tODi4oL//ve/rDbh4eH47rvvUFZW1uT8qKgopKWlyR2DoiiKoiiKoiiKov4uaHHRf4A3b97Azs4OAQEBGDt2rMLnnT17Fvfu3cO4ceOYfdXV1dDV1UV4eDjWrl37McL91xAIBK0yro6ODoRCITZu3IhVq1bJbHfu3Dl0794dCxYsgL6+Po4dOwZfX18IBAKMGDFC4fF0dXU/RNh/C4QQ+Pj44NChQ1i8eDHWrl0LQ0NDPH78GMnJyVixYgXrSwBbW1ucOXMG7969Q2ZmJgICAlBZWck8vHHJkiVYuXIlQkNDER0dDUNDQ9y9exebNm3Czz//jJCQEKlxHDhwAFpaWnB1dWXtb268xiorK2FmZoYJEyYgNDRUapvS0lK4urqif//+OHnyJHR1dXH37l20a9dO5jzV1dVh+PDhMDAwwLlz5/DkyRP4+vpCRUUF0dHRrLaHDx/GyJEjAdR/lrm5ucHb2xtBQUFS+/b19cWrV69w5MgR6OjoIDExEd7e3rh06RIcHByknvP7779j0KBBiI6ORtu2bSESieDl5YULFy4w53Tt2hXm5ubYtWsXpk+fjtraWqxbtw6zZs1i+nn+/DmSk5Px9ddfy7x2iqL++UwXHm/tEP6Uwu+Ht3YIFEVRFEVRVCujK4T/AYYOHYoVK1ZgzJgxLTovKSkJgwYNgqqqKrPP1NQUcXFxTGJQUWKxGDExMfjss8/A5/NhZ2eHAwcOMMcl5R5SUlLg6OgINTU19OnTB7dv3wZQXw5BSUmpyarD2NjYFj3sTlI+YfPmzejUqRPU1NTg7e3NWvWXnZ2NQYMGQUdHBwKBAO7u7sjJyZHZZ2FhITgcDvbt24e+ffuCz+fDyckJd+7cQXZ2NhwdHaGhoYGhQ4fixYsXzHkNSxD4+/sjPT0dcXFxzCrOwsJCAEB6ejp69eoFHo+HDh06YOHChcxKyoSEBLRv3x7V1dWsmEaPHo0pU6bIjNnLywtJSUly52rx4sVYvnw5+vTpA3Nzc4SEhGDIkCE4ePCg3PMaa1wygsPh4KeffsKYMWOgpqYGCwsLHDlyhHWOvGuWprq6GmFhYejYsSPU1dXRu3fvJis2f/nlF9ja2oLH48HU1JT18/9ly5aha9euTfq1t7dHRESEwte6d+9eJCUlYe/evYiIiICzszOMjY3h7OyMlStXQiQSsdorKyvDwMAARkZG+PzzzzFp0iRmLi5evIjo6GisWbMGq1atQp8+fWBqaopBgwbhl19+gZ+fn8w4kpKS4OXl1WS/vPGkcXJywqpVqzBx4kTweDypbVauXIlOnTpBJBKhV69e+OyzzzB48GCYm5vL7Pf06dO4ceMGdu3aBXt7ewwdOhTLly/Hf/7zH9TU1DDtqqqqcPr0aSYhPGXKFCxduhSenp4y+z537hxmzpyJXr16wczMDOHh4Wjbti0uX74s85zY2FjMnz8fTk5OsLCwQHR0NCwsLHD06FFWu4bvGw6HAwAYMGAArl+/juTkZHh5ecHIyEjmOBRFURRFURRFURT1d0ATwv9iGRkZcHR0/CB9xcTEICEhAZs2bcL169cRGhqKyZMnIz09ndVuyZIlWLNmDS5dugRlZWUEBAQAqE8qenp6NkmoiUQi+Pv7Q0lJ8ZdqQUEB9u3bh6NHj+LUqVO4cuUKpk2bxhx//fo1/Pz8cPbsWZw/fx4WFhYYNmwYXr9+LbffyMhIhIeHIycnB8rKyvDx8cH8+fMRFxeHjIwMFBQUYOnSpVLPjYuLg4uLC4KCgvDkyRM8efIEnTp1QnFxMYYNGwYnJydcvXoVGzduxLZt27BixQoAwIQJE1BXV8dK6j1//hzHjx9n5k6aXr164dGjR0zSWVFlZWXQ1tZu0TnSfPvtt/D29kZeXh6GDRuGSZMmMSUQmrtmaWbMmIGsrCwkJSUhLy8PEyZMwJAhQ3D37l0AwOXLl+Ht7Y2JEyfi2rVriIqKQkREBLNaNyAgADdv3kR2djbT55UrV5CXl4epU6cqfF179uyBlZUVk8BsTJJElIXP5zMJ0d27d0NDQ4P12myobdu2Mvs5e/asQu/dhuO9ryNHjsDR0RETJkyAnp4eHBwcsHXrVlabqKgomJqaMttZWVno1q0b9PX1mX1CoRDl5eW4fv06sy8lJQUdO3ZEly5dFI6nT58+2Lt3L0pKSiAWi5GUlISqqip4eHgwbTw8PODv7y+zD7FYjNevXzd5rffq1QsXL15EdXU1lJWVMXfuXKxbtw4nTpzA6dOncfr0aQwfLntlXXV1NcrLy1l/FEVRFEVRFEVRFPWpoQnhf7EHDx7A0NDwT/dTXV2N6OhobN++HUKhEGZmZvD398fkyZOb/FT9u+++g7u7O2xsbLBw4UKcO3cOVVVVAIDAwEDs2bOHWQ2bk5ODa9eutShhB9SvOkxISIC9vT369euH9evXIykpCU+fPgVQv+Jv8uTJ6NKlC6ytrbFlyxZUVlY2SV43FhYWBqFQCGtra4SEhODy5cuIiIiAq6srHBwc8OWXXyI1NVXquQKBAFwuF2pqajAwMICBgQHatGmD+Ph4dOrUCRs2bECXLl0wevRofPvtt1izZg3EYjH4fD58fHxYifJdu3bB2NiYlQBrTHJfHzx4oPC87du3D9nZ2S2eb2n8/f3xxRdfoHPnzoiOjkZFRQUuXrwIAM1ec2NFRUUQiUTYv38/+vbtC3Nzc4SFhcHNzY2Zlx9//BEDBw5EREQELC0t4e/vjxkzZjAlM4yMjCAUClnzKBKJ4O7uDjMzM4Wv686dO7CysmLtmz17NjQ0NKChoSF39ejly5eRmJiIAQMGAADu3r0LMzMzqKioKDw+ALx69QplZWXNvncbj/e+/vjjD2zcuBEWFhb473//i2+++QazZs3Czp07mTY6OjqsFcNPnz5lJYMBMNuS9yHALhehqH379qG2thbt27cHj8fD119/jeTkZHTu3JlpY2xsjA4dOsjsY/Xq1aioqIC3tzdrv6GhIWpqavD06VPU1dUhLi4Os2bNwrBhwzB48GAMGTIEp06dktlvTEwMBAIB89epU6cWXRtFURRFURRFURRF/RVoQvhfIDo6mklYaWhooKioCADw9u1bVrkIRWRkZLD62r17NwoKClBZWYlBgwaxjiUkJODevXus87t37878W5Kwef78OYD6Mght2rRBcnIyAGDHjh3o378/a+VhQw3HCg4OZvYbGxujY8eOzLaLiwvEYjFTnuLZs2cICgqChYUFBAIBtLS0UFFRwcyLLA1jlyS3unXrxtonuRZF3bx5Ey4uLqyVpa6urqioqMCjR48AAEFBQTh9+jSKi4sB1M+Lv7+/3NWofD4fQH2NWKC+tqxkroYOHdqkfWpqKqZOnYqtW7fC1tYWgPR7raiGc6Wurg4tLS1mbhS55oauXbuGuro6WFpasuJJT09nXl83b95sUk/X1dUVd+/eRV1dHYD6edyzZw+qqqpQU1ODxMREmausJat3JX8ZGRkyr3XJkiXIzc3F0qVLmzzA7dq1a9DQ0ACfz0evXr3g4uKCDRs2AKivR/w+3r59CwBS37uyxisqKmJdT+M6vvKIxWL06NED0dHRcHBwwFdffYWgoCBs2rSJaTNjxgykpKS06DoIITh69GiLE8IRERF49eoVzpw5g0uXLmHOnDnw9vbGtWvXmDYJCQmIiYmRen5iYiK+/fZb7Nu3D3p6eqxjDd83YrEYtbW1SElJga2tLcaMGYNDhw7JXXW/aNEilJWVMX8PHz5s0bVRFEVRFEVRFEVR1F+BPlTuXyA4OJi1Ek6yslBHRwelpaUt6svR0RG5ubnMtr6+Pm7cuAEAOH78OCsRC6BJXdKGqyElCUHJqlAulwtfX1+IRCKMHTsWiYmJiIuLkxlLwzi0tLQUvgY/Pz+8fPkScXFxMDExAY/Hg4uLS7M/rZcWe+N9itY6bgkHBwfY2dkhISEBgwcPxvXr13H8uPwH2kjKM0ge+HbixAnU1tYC+L+kl0R6ejq8vLywdu1a+Pr6Mvul3WtFNV71+mfmpqKiAm3atMHly5fRpk0b1jENDQ2F+/Hy8gKPx0NycjK4XC5qa2sxfvx4qW1HjhyJ3r17M9uS17WFhQXzxYKErq4udHV1myQXAcDKygpHjhyBsrIyDA0NweVymWOWlpY4e/YsamtrW7RKuH379uBwOFLfu7LGe/fuHetetqQsSIcOHWBjY8PaZ21tjV9++UXmOQYGBsyKcIlnz54xx4D6Gsrv3r1Dnz59FI7l3r172LBhA/Lz85kvLuzs7JCRkYH//Oc/rCS1NElJSQgMDMT+/ful1ilu+L5RUVFBWFgY67i+vj7ry6fGeDyezFrMFEVRFEVRFEVRFPWpoAnhfwFtbW2pCSAHBwcmmasoPp/P+mk2ANjY2IDH46GoqAju7u5/KtbAwEB07doV8fHxePfuHcaOHSuzbeM4JIqKivD48WMm8X3+/HkoKSkxP/XPzMxEfHw8hg0bBgB4+PAh/ve///2puBXB5XKZ1aoSksQaIYRJMmdmZkJTU5NVfiAwMBCxsbEoLi6Gp6dnsz9Fz8/Ph4qKCpM0MzExkdouLS0NI0aMwMqVK/HVV1+xjkm71x+Cotcs4eDggLq6Ojx//hx9+/aV2WdmZiZrX2ZmJiwtLZkksrKyMvz8/CASicDlcjFx4sQmyXEJTU1NaGpqNtn/xRdfwMfHB4cPH8aoUaOavVYulytzDn18fLBu3TrEx8cjJCSkyfFXr15JrSPM5XJhY2ODGzduYPDgwQqNp6ys/N730tXVtUkS/M6dOzJfU0D9qvzvvvsOz58/ZxLlv/76K7S0tJjk8uHDhzF8+PAmSX55JCveG9cUb9OmTbNfOOzZswcBAQFISkqSWQc4Pz8fRkZG0NHRYe2PiopSOEaKoiiKoiiKoiiK+tTRhPA/QEVFBQoKCpjt+/fvIzc3F9ra2jA2NpZ5nlAoZNUBlZCsJKyoqMCLFy+Qm5vLJKGk0dTURFhYGEJDQyEWi+Hm5oaysjJkZmZCS0sLfn5+Cl+LtbU1nJ2dsWDBAgQEBMhM2MmjqqoKPz8/rF69GuXl5Zg1axa8vb2ZlYkWFhb4+eef4ejoiPLycsybN++9xmkpU1NTXLhwAYWFhdDQ0IC2tjamTZuG2NhYzJw5EzNmzMDt27cRGRmJOXPmsJJePj4+CAsLw9atW5GQkNDsWBkZGejbt6/c60pNTcWIESMQEhKCcePGMbVduVzuB3mwnCyKXrOEpaUlJk2aBF9fX6xZswYODg548eIFUlJS0L17dwwfPhxz586Fk5MTli9fjs8//xxZWVnYsGED4uPjWX0FBgbC2toaAJokkBUxceJEHDx4EBMnTsSiRYsgFAqhr6+PBw8eYO/evS1Kbvbu3Rvz58/H3LlzUVxcjDFjxsDQ0BAFBQXYtGkT3NzcpCaKgfr37tmzZzF79uwWX0NDNTU1zJdCNTU1KC4uRm5uLjQ0NJgEcmhoKPr06YPo6Gh4e3vj4sWL2LJlC7Zs2cL0s2HDBiQnJzNlIwYPHgwbGxtMmTIFP/zwA54+fYrw8HBMnz6dWUF75MgRLFu2jBVPSUkJ84UOACYRLam73aVLF3Tu3Blff/01Vq9ejfbt2+PQoUP49ddfcezYMaYfX19fdOzYkSkbkZiYCD8/P8TFxaF3797Ma53P50MgEDDnZWRkNEmyUxRFNVb4veyHS1IURVEURVHU3wKh/vZSU1MJgCZ/fn5+cs97+fIlUVVVJbdu3WLtl9aXiYmJ3L7EYjGJjY0lVlZWREVFhejq6hKhUEjS09NZMZaWljLnXLlyhQAg9+/fZ/W1bds2AoBcvHhR6nU27KOxyMhIYmdnR+Lj44mhoSFRVVUl48ePJyUlJUybnJwc4ujoSFRVVYmFhQXZv38/MTExIWvXrmXNQXJyMiGEkPv37xMA5MqVK3JjEYlERCAQMNt+fn5k1KhRzPbt27eJs7Mz4fP5rOtOS0sjTk5OhMvlEgMDA7JgwQJSW1vb5NqmTJlCtLW1SVVVldRrbsjKyors2bNH5jxJ4pN2r93d3eWe5+7uTkJCQphteXMnIRAIiEgkYrabu+bGY9TU1JClS5cSU1NToqKiQjp06EDGjBlD8vLymDYHDhwgNjY2REVFhRgbG5NVq1ZJjb9v377E1tZW6nw0vF+y1NXVkU2bNpHevXsTdXV1wuVyiZmZGQkKCiI3btxg2km7L9Ls3buX9OvXj2hqahJ1dXXSvXt3smzZMrmv8+vXrxM+n09evXrV4vEakry2m3sNHD16lHTt2pXweDzSpUsXsmXLFtbxyMjIJp8RhYWFZOjQoYTP5xMdHR0yd+5c5h4XFBQQHo9HKioqWOeIRCKp8URGRjJt7ty5Q8aOHUv09PSImpoa6d69O0lISGD14+7uzvr8c3d3b/Yz8u3bt0QgEJCsrKwWzaE8ZWVlBAApKyv7YH1SFEVRFEVRFEVRlCyK/n8oh5D3fLIR9Y8wb948lJeXY/Pmza0dCmP58uXYv38/8vLyWnxuVFQUDh06xKqX+k8xcOBA2NraYt26dXLbnTx5EnPnzkVeXh6UlemPABoihMDCwgLTpk3DnDlzWjucP2XChAno0aMHFi1a1NqhtNiPP/6IM2fO4MSJE60dCmPjxo1ITk7G6dOnP1if5eXlEAgEKCsra1Gdc4qiKIqiKIqiKIp6H4r+f2jT32dT/ypLliyBiYnJR3kYWktVVFQgPz8fGzZswMyZM1s7nE9GaWkpkpOTkZaWhunTpzfb/s2bNxCJRDQZ3MiLFy+wYcMGPH36FFOnTm3tcP60VatWteihep8SIyOjTy6RraKigvXr17d2GBRFURRFURRFURT10dEVwtQnw9/fH3v27MHo0aORmJjYonqsEv/EFcKmpqYoLS1FREQEwsLCWjucvy0OhwMdHR3ExcXBx8entcOh/gXoCmGKoiiKoiiKoijqr0RXCP/NpKSkwNraGnV1da0dSrPS0tLA4XDw6tWrD9rvjh07UF1dzXo4F4fDwaFDhxTuIyoqqkky2N/fH6NHj/5wgcoZ297entleuHDhB1npXFhYiLKysk8mGVxYWAgOhyM36b5jxw60bdtWbj+N5+tjI4TgxYsXzSaD/6rXy4ewbds2+hC0D6Smpgampqa4dOlSa4dCURRFURRFURRFUR8VTQh/QL///ju8vLxgaGjY4kTm/PnzER4eziRCnzx5Ah8fH1haWkJJSQmzZ8/+OEH/C8TFxWHHjh3MtoeHx18yn2FhYdi5cyf++OMPue3S0tIwatQodOjQAerq6rC3t8fu3bs/enwf0+eff447d+60dhgfFSEEW7duhYuLC7S0tKChoQFbW1uEhISgoKCAaRcVFQUOhwMOhwNlZWWYmpoiNDQUFRUVAP4vwS7t7/z58zLHr6qqQkREBCIjIxUeS5rr169j3LhxMDU1BYfDQWxsrNR2xcXFmDx5Mtq3bw8+n49u3bo1mzwtKirC8OHDoaamBj09PcybNw/v3r1r0m7nzp1wc3NDbW0tFixYgG7dukFdXR2Ghobw9fXF48ePWe1LSkowadIkaGlpoW3btvjyyy/lXmNj33//PTgcDutzgMvlIiwsDAsWLJB6joeHh8L9UxRFURRFURRFUdSnjBYZ/YDevHkDOzs7BAQEYOzYsQqfd/bsWdy7dw/jxo1j9lVXV0NXVxfh4eFYu3btxwj3X0MgELTKuDo6OhAKhdi4cSNWrVols925c+fQvXt3LFiwAPr6+jh27Bh8fX0hEAgwYsSIDxpTbW0tVFRUPmif0vD5fPD5/I8+TmshhMDHxweHDh3C4sWLsXbtWhgaGuLx48dITk7GihUrWF9C2Nra4syZM3j37h0yMzMREBCAyspK1sMcz5w5A1tbW9Y47du3lxnDgQMHoKWlBVdXV9Z+RcZqqLKyEmZmZpgwYQJCQ0OltiktLYWrqyv69++PkydPQldXF3fv3kW7du1kxldXV4fhw4fDwMAA586dw5MnT+Dr6wsVFRVER0ez2h4+fBgjR45EZWUlcnJyEBERATs7O5SWliIkJAQjR45kJZ8nTZqEJ0+e4Ndff0VtbS2mTp2Kr776ComJiTLjkcjOzsbmzZvRvXv3JscmTZqEuXPn4vr167C1tcWdO3eQk5ODiRMnMm1ycnLw+PHjD/7epFqH6cLjrR0CRf3lCr8f3tohUBRFURRFUa2MrhD+gIYOHYoVK1ZgzJgxLTovKSkJgwYNgqqqKrPP1NQUcXFxTGJQUWKxGDExMfjss8/A5/NhZ2eHAwcOMMcl5R5SUlLg6OgINTU19OnTB7dv3wZQv1pRSUmpycq/2NjYFj18TlIOYPPmzejUqRPU1NTg7e2NsrIypk12djYGDRoEHR0dCAQCuLu7IycnR2afkpWU+/btQ9++fcHn8+Hk5IQ7d+4gOzsbjo6O0NDQwNChQ/HixQvmvIYlAPz9/ZGeno64uDhmJWVhYSGA/8fefUdFcX7/A38vZZelS1FAOgICKqKAAho0oqjYo9giIILxoyiKKFhQBMUYQcFg1yw2xF6ixkaAIBI7NgiWiCSK0VhAVIowvz/4MV8GdpfFhknu65w9JzPzlDuzs+R499k7QEZGBpydnSEQCKCvr4/w8HB2NePWrVuhra2N8vJyTkxDhgzBuHHjJMY8cOBApKSkSL1Wc+fORXR0NFxdXWFhYYHg4GD07dsX+/fvl9rv+PHj6NatGzQ1NaGtrY0BAwbg7t27Da7Xrl274O7uDiUlJezYsQNPnz7F6NGj0bp1aygrK6N9+/bYuXMnZ+zq6mp89913aNOmDQQCAYyNjbFkyRJOm99//x09e/aEsrIy7O3tkZ2dzR4TVzLi22+/RatWraCmpoYJEyagrKyswZxRUVEwNDSEQCBAx44dcfz48Qbns3//fonzAsC+fftgZ2cHgUAAU1NTxMXFsceioqLQrl27BteyY8eOiIiIkHq969q1axdSUlKwa9cuREREoGvXrjA2NkbXrl2xbNkyiEQiTnsFBQXo6enB0NAQI0eOxNixY3H48GFOG21tbejp6XFe0pL3KSkpGDhwYIP9ssxVl5OTE5YvX45Ro0ZBIBCIbbNs2TIYGRlBJBLB2dkZZmZm6NOnDywsLCSOe/LkSeTm5mL79u3o2LEj+vXrh+joaKxevRoVFRVsu7KyMpw8eRKDBg2ChoYGTp06BW9vb1hbW6Nr165ITEzEpUuXUFhYCADIy8vD8ePHsWnTJnTp0gXdunXD999/j5SUlAYriesrLS3F2LFjsXHjRrHJ7BYtWsDNzY39zOro6CAtLQ3e3t548eIFFixYgDlz5sDc3FzqPIQQQgghhBBCyOeMEsKfgczMTDg6On6QsZYuXYqtW7di3bp1uHnzJmbMmIGvv/4aGRkZnHbz5s1DXFwcLl68CAUFBfj7+wOoSUR7eHg0SGiJRCL4+flBTk72W+bOnTvYvXs3fvzxRxw/fhxXrlzB5MmT2eMvX76Er68vzpw5g19//RWWlpbo378/Xr58KXXchQsXYv78+bh8+TIUFBQwZswYzJ49GwkJCcjMzMSdO3ewYMECsX0TEhLg4uKCwMBAFBUVoaioCEZGRnjw4AH69+8PJycnXL16FWvXrsXmzZuxePFiAMCIESNQVVXFSaw9fvwYR48eZa+dOM7Ozvjzzz/ZpLOsiouLoaWlJbXNq1evEBISgosXLyI1NRVycnIYOnRog6R9eHg4goODkZeXB09PT5SVlaFz5844evQobty4gYkTJ2LcuHE4f/4822fOnDn49ttvERERgdzcXCQnJ6NVq1accefNm4fQ0FDk5OTAysoKo0ePFlsOAAB2796NyMhIxMTE4OLFi9DX18eaNWs4bRISEhAXF4fY2Fhcu3YNnp6eGDRoEG7fvi3zvJcuXYK3tzdGjRqF69evIzIyEhEREexqXX9/f+Tl5eHChQvseFeuXMG1a9cwfvx4qde7rp07d8La2hqDBg0Se5zH40ntLxQKOUnRd3HmzBmZ/m58iLkOHz4MR0dHjBgxAi1btoSDgwM2btzIaRMZGQlTU1N2Ozs7G+3bt+fcN56enigpKcHNmzfZfampqWjdujXatm0rdu7i4mLweDz2C4bs7Gxoampyzt3DwwNycnI4d+4cu4/H43FWaQPAlClT4OXlBQ8PD4nn6uzsjMzMTACAlpYW1q9fDw8PD1y9ehV3797FiRMnYGtrK7ZveXk5SkpKOC9CCCGEEEIIIeRzQyUjPgP379+HgYHBe49TXl6OmJgYnD59Gi4uLgAAc3NznDlzBuvXr4e7uzvbdsmSJex2eHg4vLy8UFZWBiUlJQQEBGDSpElYsWIFBAIBLl++jOvXr+PQoUNNiqesrAxbt25F69atAQDff/89vLy8EBcXBz09PXz55Zec9hs2bICmpiYyMjKk/hw7NDQUnp6eAIDg4GCMHj0aqamp7E/nJ0yY0CARVEtDQwN8Ph/KysrQ09Nj969ZswZGRkZITEwEj8dD27Zt8fDhQ4SFhWHBggUQCoUYM2YMRCIRRowYAQDYvn07jI2NpdYWrX1f79+/z0mWSbN79272Z+3S1C0xAgA//PADdHV1kZuby1kFO3369AYlTOo+oG7q1Kk4ceIEdu/eDWdnZ7x8+RIJCQlITEyEr68vAMDCwgLdunVrMIaXV83PThctWgQ7OzvcuXNHbGIvPj4eEyZMwIQJEwAAixcvxunTpzmrhGNjYxEWFsb+PH/ZsmVIS0tDfHw8Vq9eLdO8K1asQK9evdjVvlZWVsjNzcXy5cvh5+cHQ0NDeHp6QiQSwcnJCUDNlx3u7u5NWvV569YtWFtbc/ZNnz4dmzZtAgBoamrizz//FNv30qVLSE5ObnD/u7q6NvjCRVJd3BcvXqC4uLjRvxuS5mqq33//HWvXrkVISAjmzp2LCxcuYNq0aeDz+ew9oqOjw1kx/OjRowZfItRuP3r0iN1XWy5CnLKyMoSFhWH06NHs01EfPXqEli1bctopKChAS0uLM661tTXn1xUpKSm4fPky58sAcQwMDHD//n0ANaUy5s2bh7///hv29vawsLBAv379EB8f3+D9B2q+kFu0aJHU8QkhhBBCCCGEkOZGK4Q/oZiYGKiqqrKv2p9Av3nzhlMuQhaZmZmcsXbs2IE7d+7g9evX6N27N+fY1q1bOaUEAHDqZ+rr6wOoWfEK1JRBkJeXx4EDBwDU/Py/Z8+eEhOadeeaNGkSu9/Y2JhNBgOAi4sLqqur2fIUf/31FwIDA2FpaQkNDQ2oq6ujtLSUvS6S1I29NsHUvn17zr7ac5FVXl4eXFxcOCs73dzcUFpayib2AgMDcfLkSTx48ABAzXXx8/OTuhq0to7u69evAdTUd629Vv369WvQPi0tDePHj8fGjRvZerLi3msAuH37NkaPHg1zc3Ooq6uz70/961d/FWlVVRWio6PRvn17aGlpQVVVFSdOnOD8JL+8vBy9evWSes2k3UP15eXloUuXLpx9tV9aAEBJSQkePnzYoB6um5sb8vLyZJ43Ly9P7Bi3b99GVVUVgJr3cefOnSgrK0NFRQWSk5MlrvLesWMH59rXrhwVZ968ecjJycGCBQsaJHKvX78OVVVVCIVCODs7w8XFBYmJiZw2u3btQk5ODuclyZs3bwBA7N8NSXMVFhZyzqV+HV9pqqur0alTJ8TExMDBwQETJ05EYGAg1q1bx7YJCgpCamqqzGMCNbWYf/zxR7EJ4crKSnh7e4NhGKxdu7ZJ4wLAb7/9xpbv+eOPPxAcHIwdO3Y0+rdWKBSyn9fHjx+je/fu2L17NzQ1NREVFYUlS5ZIfGDinDlzUFxczL7++OOPJsdNCCGEEEIIIYR8bLRC+BOaNGkSvL292e3a1X06Ojp4/vx5k8ZydHTkJIxatWqF3NxcAMDRo0c5iVgADWqD1q1NWpvQrC01wOfz4ePjA5FIhGHDhiE5ORkJCQkSY6kbR+0qPln4+vri6dOnSEhIgImJCQQCAVxcXBr9ebu42Ovvk7XWcVM4ODjA3t4eW7duRZ8+fXDz5k0cPSr9gUTPnj0DAOjq6gIAjh07hsrKSgBo8NC1jIwMDBw4ECtXroSPjw+7X9x7DdTUJzYxMcHGjRthYGCA6upqtGvXrsH1U1FR4WwvX74cCQkJiI+PR/v27aGiooLp06ez/WR9GJy0e+hjet95Bw4cCIFAgAMHDoDP56OyshLDhw8X23bQoEGcRHbt58rS0pL9YqOWrq4udHV1G6xeBWpWqx4+fBgKCgowMDAAn89v0MbIyAht2rSR6Ry0tbXB4/HE/t2QNNfbt28591FjJUnq0tfXb1AmwcbGBvv27ZPYR09Pj1OGBKj5Eqj2GACcP38eb9++haurK6ddbTL4/v37+Pnnnzl/V/T09Bp88fD27Vs8e/aMs+q/rkuXLuHx48fo1KkTu6+qqgq//PILEhMTUV5eDnl5eQA1n9naz6u1tXWDlcCdOnXijFOXQCCQWIeZEEIIIYQQQgj5XFBC+BPS0tISm4RxcHBgk7myEgqFDZJHtra2EAgEKCws5JSHeBcBAQFo164d1qxZg7dv3zYoOVCXpCRWYWEhHj58yCa+f/31V8jJybEJlqysLKxZswb9+/cHULOK7++//36vuGXB5/PZ1aK1apNbDMOwScasrCyoqanB0NCQbRcQEID4+Hg8ePAAHh4eMDIykjrXjRs3oKioyK72NTExEdsuPT0dAwYMwLJlyzBx4kTOMXHv9dOnT5Gfn4+NGzeie/fuAGpqysoiKysLgwcPxtdffw2gJpl669YtNuFnaWkJoVCI1NRUBAQEyDRmY2xsbHDu3DlOovvXX39l/1tdXR0GBgbIysri3LtZWVlwdnZu0jxZWVmcfVlZWbCysmITfgoKCvD19YVIJAKfz8eoUaMkJsHV1NSgpqbWYP/o0aMxZswYHDp0CIMHD240Lj6fL3OyVxZ8Ph+2trbIzc1Fnz59ZJpLQUHhnWNwc3NrkAC/deuWxPsZqFkBvmTJEjx+/JhNkp86dQrq6ursvXbo0CF4eXmx7w3wf8ng27dvIy0tDdra2g3GffHiBS5duoTOnTsDAH7++WdUV1c3WIVeq1evXrh+/Tpn3/jx49G2bVuEhYVx5r9x4wYcHBwajJGeni7xXAkhhBBCCCGEkH8SSgh/QKWlpbhz5w67fe/ePeTk5EBLSwvGxsYS+3l6emLLli0N9teu5istLcWTJ0+Qk5PDJoLEUVNTQ2hoKGbMmIHq6mp069YNxcXFyMrKgrq6OlvrUxY2Njbo2rUrwsLC4O/vL/Oq0bqUlJTg6+uL2NhYlJSUYNq0afD29mZX8VlaWmLbtm1wdHRESUkJZs2a9U7zNJWpqSnOnTuHgoICqKqqQktLC5MnT0Z8fDymTp2KoKAg5OfnY+HChQgJCeHUdR0zZgxCQ0OxceNGbN26tdG5MjMz0b17d6nnlZaWhgEDBiA4OBhfffUVWweVz+dLXMXZokULaGtrY8OGDdDX10dhYSHCw8NlOn9LS0vs3bsXZ8+eRYsWLbBixQr89ddf7H2lpKSEsLAwzJ49G3w+H25ubnjy5Alu3rzJ1gBuquDgYPj5+cHR0RFubm7YsWMHbt68yanbO2vWLCxcuBAWFhbo2LEjRCIRcnJy2BIZspg5cyacnJwQHR2NkSNHIjs7G4mJiQ0eYBcQEAAbGxsAaJBAlsWoUaOwf/9+jBo1CnPmzIGnpydatWqF+/fvY9euXZwEo6yePn3KqYEL1NQillTiwNPTE2fOnMH06a3KZ7MAAQAASURBVNObPFddFRUV7BdSFRUVePDgAXJycqCqqsomkGfMmAFXV1fExMTA29sb58+fx4YNG7BhwwZ2nMTERBw4cIAtG9GnTx/Y2tpi3Lhx+O677/Do0SPMnz8fU6ZMYVfRHj58GFFRUewYtau1L1++jCNHjqCqqoq9JlpaWuDz+bCxsUHfvn3ZkhWVlZUICgrCqFGjODWV27Zti6VLl2Lo0KFQU1Pj1NUGalbOa2trN9ifmZmJ6Ojo97qm5J+j4Fuv5g6BEEIIIYQQQj49hnwwaWlpDIAGL19fX6n9nj59yigpKTG//fYbZ7+4sUxMTKSOVV1dzcTHxzPW1taMoqIio6ury3h6ejIZGRmcGJ8/f872uXLlCgOAuXfvHmeszZs3MwCY8+fPiz3PumPUt3DhQsbe3p5Zs2YNY2BgwCgpKTHDhw9nnj17xra5fPky4+joyCgpKTGWlpbMnj17GBMTE2blypWca3DgwAGGYRjm3r17DADmypUrUmMRiUSMhoYGu+3r68sMHjyY3c7Pz2e6du3KCIVCznmnp6czTk5ODJ/PZ/T09JiwsDCmsrKywbmNGzeO0dLSYsrKysSec13W1tbMzp07JV6n2vjEvdfu7u5S+506dYqxsbFhBAIB06FDByY9Pb3R68UwNffb4MGDGVVVVaZly5bM/PnzGR8fH841qqqqYhYvXsyYmJgwioqKjLGxMRMTEyNx3OfPnzMAmLS0NIZhGr4HDMMwS5YsYXR0dBhVVVXG19eXmT17Nud6VVVVMZGRkUzr1q0ZRUVFxt7envnpp5/Y47LMyzAMs3fvXsbW1paNe/ny5WKvX/fu3Rk7O7sG++vfL5JUVVUx69atY7p06cKoqKgwfD6fMTc3ZwIDA5nc3Fy2nbj7oq7a8xL3knbv3Lx5kxEKhcyLFy9knqsp89e//3788UemXbt2jEAgYNq2bcts2LCBc3zhwoUN/j4VFBQw/fr1Y4RCIaOjo8PMnDmT/UzduXOHEQgETGlpqUzXou57/PTpU2b06NGMqqoqo66uzowfP555+fIlZ24AjEgkknje7u7uTHBwMGff2bNnGU1NTeb169fSL5qMiouLGQBMcXHxBxmPEEIIIYQQQgiRRtZ/h/IYhmE+eJaZNNmsWbNQUlKC9evXN3corOjoaOzZswfXrl1rct/IyEgcPHhQ6oOx/ql69eoFOzs7rFq1Smq7n376CTNnzsS1a9egoECL8T8nDMPA0tISkydPRkhISHOH885GjBiBTp06Yc6cOc0dSpOtWLECp0+fxrFjx5o7FNbIkSNhb2+PuXPnfpDxSkpKoKGhgeLi4ibVVyeEEEIIIYQQQt6FrP8OlZN4hHxS8+bNg4mJySd5KFdjSktLcePGDSQmJmLq1KnNHc5n4/nz5zhw4ADS09MxZcqURtu/evUKIpGIksGfmSdPniAxMRGPHj3C+PHjmzuc97J8+XKoqqo2dxjvxNDQ8LNKZFdUVKB9+/aYMWNGc4dCCCGEEEIIIYR8VLRCmDTg5+eHnTt3YsiQIUhOTn6neqj/xhXCpqameP78OSIiIhAaGtrc4ZB3xOPxoKOjg4SEBIwZM6a5wyH/YrRCmBBCCCGEEELIp0QrhP9BUlNTYWNjg6qqquYOBQCQlJSE8vJysQ/HSk9PB4/Hw4sXL6SOERkZ+d7JYB6Ph4MHD77XGH5+fhgyZMh7jVGroKAAxcXFYpPBkZGR6NixI7sdHh7+r1xdXVBQAB6PJ/W9TUpKgqamptRx6l+vT4lhGDx58kRsMvhD3i+fwubNm9GnT5/mDuNfoaKiAqamprh48WJzh0IIIYQQQgghhHxUlBD+QH755RcMHDgQBgYGTU5kzp49G/Pnz2eTr0VFRRgzZgysrKwgJyeH6dOnf5yg/wMSEhKQlJTEbvfo0eOTXM/Q0FBs2bIFv//+u9R26enpGDx4MPT19aGiooKOHTtix44dHz2+j2nkyJG4detWc4fxUTEMg40bN8LFxQXq6upQVVWFnZ0dgoODcefOHbZdZGQkeDweeDweFBQUYGpqihkzZqC0tJQz3r59+9CjRw9oaGhAVVUVHTp0QFRUFJ49eyYxhrKyMkRERGDhwoVNnq+umzdv4quvvoKpqSl4PB7i4+PFtnvw4AG+/vpraGtrQygUon379o0mTwsLC+Hl5QVlZWW0bNkSs2bNwtu3bxu027JlC7p164bKykqEhYWhffv2UFFRgYGBAXx8fPDw4UNO+2fPnmHs2LFQV1eHpqYmJkyYIPUc6/v222/B4/E4fwv4fD5CQ0MRFhYmtk+PHj1kHp8QQgghhBBCCPmcUXHTD+TVq1ewt7eHv78/hg0bJnO/M2fO4O7du/jqq6/YfeXl5dDV1cX8+fOxcuXKjxHuf4aGhkazzKujowNPT0+sXbsWy5cvl9ju7Nmz6NChA8LCwtCqVSscOXIEPj4+0NDQwIABAz5oTJWVlVBUVPygY4ojFAohFAo/+jzNhWEYjBkzBgcPHsTcuXOxcuVKGBgY4OHDhzhw4AAWL17M+RLCzs4Op0+fxtu3b5GVlQV/f3+8fv2afYDkvHnzsGzZMsyYMQMxMTEwMDDA7du3sW7dOmzbtg3BwcFi49i7dy/U1dXh5ubG2d/YfPW9fv0a5ubmGDFihMT6uc+fP4ebmxt69uyJn376Cbq6urh9+zZatGgh8TpVVVXBy8sLenp6OHv2LIqKiuDj4wNFRUXExMRw2h46dAiDBg3C69evcfnyZURERMDe3h7Pnz9HcHAwBg0axEk+jx07FkVFRTh16hQqKysxfvx4TJw4EcnJyRLjqXXhwgWsX78eHTp0aHBs7NixmDlzJm7evAk7OzvcunULly9fxqhRo9g2ly9fxsOHDz/455MQ8mGYhh9t7hA+ewXfejV3CIQQQgghpJnRCuEPpF+/fli8eDGGDh3apH4pKSno3bs3lJSU2H2mpqZISEhgE4Oyqq6uxtKlS2FmZgahUAh7e3vs3buXPV5b7iE1NRWOjo5QVlaGq6sr8vPzAdSUA5CTk2uw6i8+Pr5JD7yrLQewfv16GBkZQVlZGd7e3iguLmbbXLhwAb1794aOjg40NDTg7u6Oy5cvSxyztlTB7t270b17dwiFQjg5OeHWrVu4cOECHB0doaqqin79+uHJkydsv7olAPz8/JCRkYGEhAR2FWVBQQEAICMjA87OzhAIBNDX10d4eDi7knHr1q3Q1tZGeXk5J6YhQ4Zg3LhxEmMeOHAgUlJSpF6ruXPnIjo6Gq6urrCwsEBwcDD69u2L/fv3S+13/PhxdOvWDZqamtDW1saAAQNw9+7dBtdr165dcHd3h5KSEnbs2IGnT59i9OjRaN26NZSVldG+fXvs3LmTM3Z1dTW+++47tGnTBgKBAMbGxliyZAmnze+//46ePXtCWVkZ9vb2yM7OZo+JKxnx7bffolWrVlBTU8OECRNQVlbWYM6oqCgYGhpCIBCgY8eOOH78eIPz2b9/v8R5gZqVtnZ2dhAIBDA1NUVcXBx7LCoqCu3atWtwLTt27IiIiAip17uuXbt2ISUlBbt27UJERAS6du0KY2NjdO3aFcuWLYNIJOK0V1BQgJ6eHgwNDTFy5EiMHTsWhw8fBgCcP38eMTExiIuLw/Lly+Hq6gpTU1P07t0b+/btg6+vr8Q4UlJSMHDgwAb7pc0njpOTE5YvX45Ro0ZBIBCIbbNs2TIYGRlBJBLB2dkZZmZm6NOnDywsLCSOe/LkSeTm5mL79u3o2LEj+vXrh+joaKxevRoVFRVsu7KyMpw8eRKDBg2ChoYGTp06BW9vb1hbW6Nr165ITEzEpUuXUFhYCADIy8vD8ePHsWnTJnTp0gXdunXD999/j5SUlAYriesrLS3F2LFjsXHjRrHJ7BYtWsDNzY393Oro6CAtLQ3e3t548eIFFixYgDlz5sDc3FzqPIQQQgghhBBCyOeMEsLNLDMzE46Ojh9krKVLl2Lr1q1Yt24dbt68iRkzZuDrr79GRkYGp928efMQFxeHixcvQkFBAf7+/gBqEtEeHh4NEloikQh+fn6Qk5P9drlz5w52796NH3/8EcePH8eVK1cwefJk9vjLly/h6+uLM2fO4Ndff4WlpSX69++Ply9fSh134cKFmD9/Pi5fvgwFBQWMGTMGs2fPRkJCAjIzM3Hnzh0sWLBAbN+EhAS4uLggMDAQRUVFKCoqgpGRER48eID+/fvDyckJV69exdq1a7F582YsXrwYADBixAhUVVVxkmqPHz/G0aNH2WsnjrOzM/7880826Syr4uJiaGlpSW3z6tUrhISE4OLFi0hNTYWcnByGDh3aIGkfHh6O4OBg5OXlwdPTE2VlZejcuTOOHj2KGzduYOLEiRg3bhzOnz/P9pkzZw6+/fZbREREIDc3F8nJyWjVqhVn3Hnz5iE0NBQ5OTmwsrLC6NGjxZYCAIDdu3cjMjISMTExuHjxIvT19bFmzRpOm4SEBMTFxSE2NhbXrl2Dp6cnBg0ahNu3b8s876VLl+Dt7Y1Ro0bh+vXriIyMREREBLta19/fH3l5ebhw4QI73pUrV3Dt2jWMHz9e6vWua+fOnbC2tsagQYPEHufxeFL7C4VCNiG6Y8cOqKqqcj4bdUmrxXzmzBmZ/nbUne9dHT58GI6OjhgxYgRatmwJBwcHbNy4kdMmMjISpqam7HZ2djbat2/PuXc8PT1RUlKCmzdvsvtSU1PRunVrtG3bVuzcxcXF4PF47LXIzs6GpqYm59w9PDwgJyeHc+fOsft4PB5npTYATJkyBV5eXvDw8JB4rs7OzsjMzAQAaGlpYf369fDw8MDVq1dx9+5dnDhxAra2tmL7lpeXo6SkhPMihBBCCCGEEEI+N1Qyopndv38fBgYG7z1OeXk5YmJicPr0abi4uAAAzM3NcebMGaxfvx7u7u5s2yVLlrDb4eHh8PLyQllZGZSUlBAQEIBJkyZhxYoVEAgEuHz5Mq5fv45Dhw41KZ6ysjJs3boVrVu3BgB8//338PLyQlxcHPT09PDll19y2m/YsAGamprIyMiQ+lPs0NBQeHp6AgCCg4MxevRopKamsj+bnzBhQoMkUC0NDQ3w+XwoKytDT0+P3b9mzRoYGRkhMTERPB4Pbdu2xcOHDxEWFoYFCxZAKBRizJgxEIlEGDFiBABg+/btMDY2llpXtPZ9vX//PidRJs3u3bvZn7RLU7fECAD88MMP0NXVRW5uLmcV7PTp0xuUMKn7ULypU6fixIkT2L17N5ydnfHy5UskJCQgMTGRXZ1qYWGBbt26NRjDy6vmJ6eLFi2CnZ0d7ty5IzapFx8fjwkTJmDChAkAgMWLF+P06dOcVcKxsbEICwtjf5q/bNkypKWlIT4+HqtXr5Zp3hUrVqBXr17sal8rKyvk5uZi+fLl8PPzg6GhITw9PSESieDk5ASg5ssOd3f3Jq34vHXrFqytrTn7pk+fjk2bNgGoSeL++eefYvteunQJycnJ7P1/+/ZtmJubN7mUx4sXL1BcXNzo3476872r33//HWvXrkVISAjmzp2LCxcuYNq0aeDz+ex9oqOjw1kx/OjRowZfJNRuP3r0iN1XWy5CnLKyMoSFhWH06NHs01EfPXqEli1bctopKChAS0uLM661tTXnFxYpKSm4fPky5wsBcQwMDHD//n0ANaUy5s2bh7///hv29vawsLBAv379EB8f3+AeAGq+lFu0aJHU8QkhhBBCCCGEkOZGK4Q/kZiYGKiqqrKv2p8/v3nzhlMuQhaZmZmcsXbs2IE7d+7g9evX6N27N+fY1q1bOaUEAHBqZ+rr6wOoWfEK1JRBkJeXx4EDBwDU/Py/Z8+eEhOadeeaNGkSu9/Y2JhNBgOAi4sLqqur2fIUf/31FwIDA2FpaQkNDQ2oq6ujtLSUvS6S1I29NrnUvn17zr7ac5FVXl4eXFxcOCs73dzcUFpayib2AgMDcfLkSTx48ABAzXXx8/OTuhq0to7u69evAdTUdq29Vv369WvQPi0tDePHj8fGjRthZ2cHQPx7DdQkEkePHg1zc3Ooq6uz70/961d/BWlVVRWio6PRvn17aGlpQVVVFSdOnOD8HL+8vBy9evWSes2k3UP15eXloUuXLpx9tV9aAEBJSQkePnzYoBaum5sb8vLyZJ43Ly9P7Bi3b99GVVUVgJr3cefOnSgrK0NFRQWSk5MlrvKuXb1b+6pdNSrOvHnzkJOTgwULFjR4uNn169ehqqoKoVAIZ2dnuLi4IDExEUBNPeJ38ebNGwAQ+7dD0nyFhYWc86lfx1ea6upqdOrUCTExMXBwcMDEiRMRGBiIdevWsW2CgoKQmprapPNgGAY//vij2IRwZWUlvL29wTAM1q5d26RxAeC3335jS/j88ccfCA4Oxo4dOxr9eysUCtnP7OPHj9G9e3fs3r0bmpqaiIqKwpIlSyQ+NHHOnDkoLi5mX3/88UeT4yaEEEIIIYQQQj42WiH8iUyaNAne3t7sdu3KPh0dHTx//rxJYzk6OiInJ4fdbtWqFXJzcwEAR48e5SRiATSoC1p3NWJtQrO21ACfz4ePjw9EIhGGDRuG5ORkJCQkSIylbhy1K/hk4evri6dPnyIhIQEmJiYQCARwcXFp9Kft4mKvv0/WWsdN4eDgAHt7e2zduhV9+vTBzZs3cfSo9AfXPHv2DACgq6sLADh27BgqKysBoMFD1zIyMjBw4ECsXLkSPj4+7H5x7zVQU5/YxMQEGzduhIGBAaqrq9GuXbsG109FRYWzvXz5ciQkJCA+Ph7t27eHiooKpk+fzvaT9WFw0u6hj+l95x04cCAEAgEOHDgAPp+PyspKDB8+XGzbQYMGcRLZtZ8rS0tL9ouNWrq6utDV1W2wchWoWal6+PBhKCgowMDAAHw+nz1mZWWFM2fONPmBf9ra2uDxeGL/dkia7+3bt5x7qbGyJHXp6+s3KJNgY2ODffv2Seyjp6fHKUUC1HwRVHsMqKmh/PbtW7i6unLa1SaD79+/j59//pnzt0VPT6/Blw9v377Fs2fPOCv/67p06RIeP36MTp06sfuqqqrwyy+/IDExEeXl5ZCXlwdQ87mt/cxaW1s3WAncqVMnzjh1CQQCiXWYCSGEEEIIIYSQzwUlhD8RLS0tsQkYBwcHNpkrK6FQiDZt2nD22draQiAQoLCwkFMe4l0EBASgXbt2WLNmDd6+fdug5EBd9eOoVVhYiIcPH7KJ719//RVycnJsciUrKwtr1qxB//79AdSs4Pv777/fK25Z8Pl8drVordrEFsMwbJIxKysLampqMDQ0ZNsFBAQgPj4eDx48gIeHB4yMjKTOdePGDSgqKrKrfU1MTMS2S09Px4ABA7Bs2TJMnDiRc0zce/306VPk5+dj48aN6N69O4CaerKyyMrKwuDBg/H1118DqEmm3rp1i032WVpaQigUIjU1FQEBATKN2RgbGxucO3eOk+j+9ddf2f9WV1eHgYEBsrKyOPduVlYWnJ2dmzRPVlYWZ19WVhasrKzYZJ+CggJ8fX0hEonA5/MxatQoiUlwNTU1qKmpNdg/evRojBkzBocOHcLgwYMbjYvP50v8nIwZMwarVq3CmjVrEBwc3OD4ixcvxNYR5vP5sLW1RW5uLvr06SPTfAoKChLjaIybm1uDJPitW7ck3tNAzSrwJUuW4PHjx2yi/NSpU1BXV2fvt0OHDsHLy4t9f4D/Swbfvn0baWlp0NbWbjDuixcvcOnSJXTu3BkA8PPPP6O6urrBSvRavXr1wvXr1zn7xo8fj7Zt2yIsLIwz/40bN+Dg4NBgjPT0dInnSgghhBBCCCGE/JNQQvgDKS0txZ07d9jte/fuIScnB1paWjA2NpbYz9PTE1u2bGmwv3YlX2lpKZ48eYKcnBw2CSSOmpoaQkNDMWPGDFRXV6Nbt24oLi5GVlYW1NXV2TqfsrCxsUHXrl0RFhYGf39/mVeN1qWkpARfX1/ExsaipKQE06ZNg7e3N7uCz9LSEtu2bYOjoyNKSkowa9asd5qnqUxNTXHu3DkUFBRAVVUVWlpamDx5MuLj4zF16lQEBQUhPz8fCxcuREhICOdBemPGjEFoaCg2btyIrVu3NjpXZmYmunfvLvW80tLSMGDAAAQHB+Orr75ia6Dy+XyJKzhbtGgBbW1tbNiwAfr6+igsLER4eLhM529paYm9e/fi7NmzaNGiBVasWIG//vqLva+UlJQQFhaG2bNng8/nw83NDU+ePMHNmzfZGsBNFRwcDD8/Pzg6OsLNzQ07duzAzZs3OXV7Z82ahYULF8LCwgIdO3aESCRCTk4OWyJDFjNnzoSTkxOio6MxcuRIZGdnIzExscED7AICAmBjYwMADRLIshg1ahT279+PUaNGYc6cOfD09ESrVq1w//597Nq1i5NcbEyXLl0we/ZszJw5Ew8ePMDQoUNhYGCAO3fuYN26dejWrZvYRDFQ87fjzJkzmD59epPPoa6Kigr2S6mKigo8ePAAOTk5UFVVZRPIM2bMgKurK2JiYuDt7Y3z589jw4YN2LBhAztOYmIiDhw4wJaN6NOnD2xtbTFu3Dh89913ePToEebPn48pU6awq2gPHz6MqKgodozaFduXL1/GkSNHUFVVxX4mtLS0wOfzYWNjg759+7IlKyorKxEUFIRRo0Zxaiq3bdsWS5cuxdChQ6GmpsaprQ3UrJ7X1tZusD8zMxPR0dHvdU0JIc2n4Fuv5g6BEEIIIYSQzx9DPoi0tDQGQIOXr6+v1H5Pnz5llJSUmN9++42zX9xYJiYmUseqrq5m4uPjGWtra0ZRUZHR1dVlPD09mYyMDE6Mz58/Z/tcuXKFAcDcu3ePM9bmzZsZAMz58+fFnmfdMepbuHAhY29vz6xZs4YxMDBglJSUmOHDhzPPnj1j21y+fJlxdHRklJSUGEtLS2bPnj2MiYkJs3LlSs41OHDgAMMwDHPv3j0GAHPlyhWpsYhEIkZDQ4Pd9vX1ZQYPHsxu5+fnM127dmWEQiHnvNPT0xknJyeGz+czenp6TFhYGFNZWdng3MaNG8doaWkxZWVlYs+5Lmtra2bnzp0Sr1NtfOLea3d3d6n9Tp06xdjY2DACgYDp0KEDk56e3uj1Ypia+23w4MGMqqoq07JlS2b+/PmMj48P5xpVVVUxixcvZkxMTBhFRUXG2NiYiYmJkTju8+fPGQBMWloawzAN3wOGYZglS5YwOjo6jKqqKuPr68vMnj2bc72qqqqYyMhIpnXr1oyioiJjb2/P/PTTT+xxWeZlGIbZu3cvY2try8a9fPlysdeve/fujJ2dXYP99e8XSaqqqph169YxXbp0YVRUVBg+n8+Ym5szgYGBTG5uLttO3H0hzq5du5gvvviCUVNTY1RUVJgOHTowUVFRUj9nN2/eZIRCIfPixYsmz1dX7bVt7B788ccfmXbt2jECgYBp27Yts2HDBs7xhQsXNvgbVVBQwPTr148RCoWMjo4OM3PmTPZzdefOHUYgEDClpaWNxlL/fX769CkzevRoRlVVlVFXV2fGjx/PvHz5kjM3AEYkEkk8b3d3dyY4OJiz7+zZs4ympibz+vVr6RdNRsXFxQwApri4+IOMRwghhBBCCCGESCPrv0N5DPOOTzUiH8ysWbNQUlKC9evXN3corOjoaOzZswfXrl1rct/IyEgcPHiQU6/036JXr16ws7PDqlWrpLb76aefMHPmTFy7dg0KCrQQ/3PCMAwsLS0xefJkhISENHc472XEiBHo1KkT5syZ09yhNNmKFStw+vRpHDt2rLlDYY0cORL29vaYO3fuBxmvpKQEGhoaKC4ublKNdUIIIYQQQggh5F3I+u9QOYlHyCczb948mJiYfJKHcjWmtLQUN27cQGJiIqZOndrc4Xw2nj9/jgMHDiA9PR1TpkxptP2rV68gEokoGfyZefLkCRITE/Ho0SOMHz++ucN5b8uXL4eqqmpzh/FODA0NP6tEdkVFBdq3b48ZM2Y0dyiEEEIIIYQQQshHRSuECYefnx927tyJIUOGIDk5uUn1UGv9G1cIm5qa4vnz54iIiEBoaGhzh0PeEY/Hg46ODhISEjBmzJjmDof8y9EKYUIIIYQQQgghn5Ks/w6lhDAhRKrU1FQEBQXhxo0b7/QFwaeUnp6Onj174vnz59DU1HzncXr06IGOHTsiPj7+g8XWGD8/P7x48QIHDx4EUPPwOicnJ8ycOfOTxfA+nj59ChsbG5w/fx6mpqbNHU6TVVRUwMrKCnv37oWjo+MHGZMSwoQQQgghhBBCPiUqGUEIYf3yyy8YOHAgDAwMwOPx2KSjLGbPno358+ezyeCioiKMGTMGVlZWkJOTw/Tp0z9O0P9x8+fPx5IlS1BcXCxT+ytXrmDkyJHQ19eHQCCAiYkJBgwYgB9//BG13/sVFBSAx+OxL21tbfTp0wdXrlxhx+nRowenTe1r0qRJUudfsmQJBg8ezCaDZZlLnGnTpqFz584QCATo2LGj2DYnTpxA165doaamBl1dXXz11VcoKCiQOu7+/fvRp08faGtrg8fjNfgFA5/PR2hoKMLCwsT279Gjh9TxCSGEEEIIIYSQfwoqcErIf8CrV69gb28Pf39/DBs2TOZ+Z86cwd27d/HVV1+x+8rLy6Grq4v58+dj5cqVHyNcAqBdu3awsLDA9u3bG61bfejQIXh7e8PDwwNbtmxBmzZtUF5ejrNnz2L+/Pno3r07Z8X06dOnYWdnhz///BPTpk1Dv3798Ntvv7FtAgMDERUVxZlDWVlZ4vyvX7/G5s2bceLEiQbHGptLHH9/f5w7d07sQy3v3buHwYMHIyQkBDt27EBxcTFmzJiBYcOG4fLlyxLHfPXqFbp16wZvb28EBgaKbTN27FjMnDkTN2/ehJ2dHW7duoXLly9j1KhRbJvLly/j4cOHGDBggMS5CCH/XqbhR5s7hPdW8K1Xc4dACCGEEEKaGa0QJuQ/oF+/fli8eDGGDh3apH4pKSno3bs3lJSU2H2mpqZISEiAj48PNDQ0ZB6ruroaS5cuhZmZGYRCIezt7bF37172eHp6Ong8HlJTU+Ho6AhlZWW4uroiPz8fQM2KUzk5OVy8eJEzbnx8fJMfypiRkQFnZ2cIBALo6+sjPDwcb9++ldi+vLwcoaGhaN26NVRUVNClSxekp6dz2uzbtw92dnYQCAQwNTVFXFwceywqKgrt2rVrMG7Hjh0REREhcd6BAwciJSVF6rm8evUKEyZMgJeXF44ePYo+ffrA3NwcNjY2mDBhAq5evdrgfdLW1oaenh4cHR0RGxuLv/76C+fOnWOPKysrQ09Pj/OS9lOTY8eOQSAQoGvXrg2ONTZXfatWrcKUKVNgbm4u9vilS5dQVVWFxYsXw8LCAp06dUJoaChycnJQWVkpcdxx48ZhwYIF8PDwkNimRYsWcHNzY6+5jo4O0tLS4O3tjRcvXmDBggWYM2eOxNgIIYQQQgghhJB/AkoIE0IkyszM/GD1VJcuXYqtW7di3bp1uHnzJmbMmIGvv/4aGRkZnHbz5s1DXFwcLl68CAUFBfj7+wOoSUR7eHhAJBJx2otEIvj5+UFOTrY/Zw8ePED//v3h5OSEq1evYu3atdi8eTMWL14ssU9QUBCys7ORkpKCa9euYcSIEejbty9u374NoCZJ6e3tjVGjRuH69euIjIxEREQEkpKSANSseM3Ly8OFCxfYMa9cuYJr165h/PjxEud1dnbG+fPnUV5eLrHNyZMn8fTpU8yePVtiGx6PJ/GYUCgEUFND911lZmaic+fOjbb7EHN17twZcnJyEIlEqKqqQnFxMbZt2wYPDw8oKioC+L9yFfWT9rJwdnZGZmYmAEBLSwvr16+Hh4cHrl69irt37+LEiROwtbUV27e8vBwlJSWcFyGEEEIIIYQQ8rmhhDAhRKL79+/DwMDgvccpLy9HTEwMfvjhB3h6esLc3Bx+fn74+uuvsX79ek7bJUuWwN3dHba2tggPD8fZs2dRVlYGAAgICMDOnTvZBOnly5dx/fp1qUnV+tasWQMjIyMkJiaibdu2GDJkCBYtWoS4uDixq4wLCwshEomwZ88edO/eHRYWFggNDUW3bt3Y5PSKFSvQq1cvREREwMrKCn5+fggKCsLy5csBAIaGhvD09OQks0UiEdzd3aWuNjUwMEBFRQUePXoksc2tW7cAANbW1uy+CxcuQFVVlX0dOXJEbN8XL14gOjoaqqqqcHZ25lyjuv1VVVWxY8cOiTHIcp9ImqupzMzMcPLkScydOxcCgQCampr4888/sXv3braNoqIirK2tpZa5kMTAwAD3798HADx//hyTJ0/G6dOnYW9vDwsLC/Tr149dtV7f0qVLoaGhwb6MjIze7SQJIYQQQgghhJCPiBLChBDExMRwkn+FhYUAgDdv3nDKRcgiMzOzQSLxzp07eP36NXr37s05tnXrVty9e5fTv0OHDux/6+vrAwAeP34MABgyZAjk5eVx4MABAEBSUhJ69uzJPsisvrpz1T4ULS8vDy4uLpxVs25ubigtLcWff/7ZYIzr16+jqqoKVlZWnPEyMjLY2PPy8uDm5sbp5+bmhtu3b6OqqgpATV3enTt3oqysDBUVFUhOTmZXP0tSu6L29evXEs9HnA4dOiAnJwc5OTl49epVg3IYrq6uUFVVRYsWLXD16lXs2rULrVq1Yo+PHTuW7V/7GjRokMT5pN0nkubq168fey52dnZSr0Ndjx49QmBgIHx9fXHhwgVkZGSAz+dj+PDh7MPzWrdujd9+++2dEs9CoZC93o8fP0b37t2xe/duaGpqIioqCkuWLGGT8PXNmTMHxcXF7OuPP/5o8vyEEEIIIYQQQsjHRg+VI4Rg0qRJ8Pb2ZrdrV3vq6Ojg+fPnTRrL0dEROTk57HarVq2Qm5sLADh69Chat27NaS8QCDjbtT/7B/6v1EHtyl0+nw8fHx+IRCIMGzYMycnJSEhIkBhL3Tik1cCVprS0FPLy8rh06RLk5eU5x1RVVWUeZ+DAgRAIBDhw4AD4fD4qKysxfPhwqX2ePXsGANDV1QUg/nwsLS0BAPn5+WwNX4FAgDZt2kgcd9euXbC1tYW2trbYh7tpaGhI7V+ftPtE0lybNm3CmzdvAHDf88asXr0aGhoa+O6779h927dvh5GREc6dOye2jnFTPHv2jL3e1tbWnJXXANCpUyd06tRJbF+BQNDgfiaEEEIIIYQQQj43lBAmhEBLSwtaWloN9js4OLDJXFkJhcIGyURbW1sIBAIUFhbC3d39vWINCAhAu3btsGbNGrx9+xbDhg2T2FZcUtPGxgb79u0DwzBswjkrKwtqamowNDRs0N7BwQFVVVXsalFxbGxskJWVxdmXlZUFKysrNomsoKAAX19fiEQi8Pl8jBo1il0BLMmNGzdgaGgIHR0diefTp08faGlpYdmyZezK6cYYGRnBwsJCpraycHBwwPbt25s0V/0vBmT1+vXrBvWia69xUx4sKMmNGzfg4ODQYP+71CMmhPz7FHzr1dwhEEIIIYQQ8t4oIUzIf0BpaSnu3LnDbt+7dw85OTnQ0tKCsbGxxH6enp7YsmVLg/21K1VLS0vx5MkT5OTkgM/nS3zYlpqaGkJDQzFjxgxUV1ejW7duKC4uRlZWFtTV1eHr6yvzudjY2KBr164ICwuDv79/o0nV+iZPnoz4+HhMnToVQUFByM/Px8KFCxESEiL2wXRWVlYYO3YsfHx8EBcXBwcHBzx58gSpqano0KEDvLy8MHPmTDg5OSE6OhojR45EdnY2EhMTsWbNGs5YAQEBsLGxAYAGCWRxMjMz0adPH6ltVFVVsWnTJowcORJeXl6YNm0aLC0tUVpaiuPHjwNAg5XNjXn9+nWDusUCgQAtWrQQ297T0xNz5szB8+fPJbaR1Z07d1BaWopHjx7hzZs37L1ma2sLPp8PLy8vrFy5ElFRURg9ejRevnyJuXPnwsTEhE3kPnjwAL169cLWrVvZshHPnj1DYWEhHj58CABsHWA9PT3o6emx82dmZiI6Ovq9zoEQQgghhBBCCPmsMYSQf720tDQGQIOXr6+v1H5Pnz5llJSUmN9++42zX9xYJiYmUseqrq5m4uPjGWtra0ZRUZHR1dVlPD09mYyMDE6Mz58/Z/tcuXKFAcDcu3ePM9bmzZsZAMz58+fFnmfdMcRJT09nnJycGD6fz+jp6TFhYWFMZWUle9zd3Z0JDg5mtysqKpgFCxYwpqamjKKiIqOvr88MHTqUuXbtGttm7969jK2tLaOoqMgYGxszy5cvFzt39+7dGTs7uwb7fX19mcGDB7Pbb968YTQ0NJjs7Gyp51LrwoULzPDhw5mWLVsyCgoKjLa2NuPp6cmkpKQw1dXVDMMwzL179xgAzJUrVySO4+7uLvb99fT0lDq/s7Mzs27dOnZblrmaMn/de2Dnzp2Mg4MDo6Kiwujq6jKDBg1i8vLyGsydlpbG7hOJRGLHXbhwIdvm7NmzjKamJvP69esmxSxJcXExA4ApLi7+IOMRQgghhBBCCCHSyPrvUB7D/P+n8BBCiBizZs1CSUkJ1q9f39yhsKKjo7Fnzx5cu3atuUNpEoZhYGlpicmTJyMkJERq27Vr1+LAgQM4efLkJ4ru/Rw9ehSzZs3CjRs3xK60/icYOXIk7O3tMXfu3A8yXklJCTQ0NFBcXPzONawJIYQQQgghhBBZyfrv0H/mv9oJIZ/MvHnzYGJi8kHqs76v0tJS3LhxA4mJiZg6dWpzh9MkT548QWJiIh49eoTx48c32l5RURHff//9J4jsw/Dy8sLEiRPx4MGD5g7lnVRUVKB9+/aYMWNGc4dCCCGEEEIIIYR8VJQQJh9VamoqbGxsUFVV1dyhNCo9PR08Hg8vXrx4r3F69OiB6dOnf5CYZOXn54chQ4aw26NGjUJcXNwHGVtTUxNz587lrPo0NTVFfHw8u83j8XDw4MEPMp+kOQAgKCgInTt3Ro8ePeDv7/9B5wM+7nvXsmVLREVFYcOGDTLV2Q0ICIC1tbXE4xEREZg4ceKHDPG9TZ8+HUZGRs0dxjvx8fGBUChsck1qQgghhBBCCCHkn4YSwqRRv/zyCwYOHAgDA4MmJ/5mz56N+fPnsw+1KioqwpgxY2BlZQU5OblPnjj9r5g/fz6WLFmC4uJiqe3279+P3r17Q1dXF+rq6nBxccGJEyeaPF9RURH69ev3ruHKLCkpCeXl5di1a1eTH5T2IVVUVGD58uXo1KkTVFRUoKGhAXt7e8yfP599aBlQk6jn8Xjg8XhQVFSEhoYG7ty5g7dv3wL4vy8hxL3qP9StrkePHiEhIQHz5s0TOxefz0ebNm0QFRXFziWOLJ/t0tJSBAUFwdDQEEKhELa2tli3bp3U61NWVgY/Pz+0b98eCgoKnC8r6tuyZQu6desGoOZ+7NOnD7S1tcHj8dgHytU/93HjxkFPTw8qKiro1KkT9u3bJzUeWe5zaZ+ZyMhIpKenS52DEEIIIYQQQgj5p1Bo7gDI5+/Vq1ewt7eHv78/hg0bJnO/M2fO4O7du/jqq6/YfeXl5dDV1cX8+fOxcuXKjxEuAdCuXTtYWFhg+/btmDJlisR2v/zyC3r37o2YmBhoampCJBJh4MCBOHfuHBwcHGSeT09P70OE/Y9QXl6OPn364Nq1a1i0aBHc3Nygq6uLe/fuYefOnfj++++xdOlStn3fvn0hEolQXl6OY8eOYcqUKVBUVMScOXPYNvn5+Q1q+7Rs2VJiDJs2bYKrqytMTEw4+2WZqy5ZPtshISH4+eefsX37dpiamuLkyZOYPHkyDAwMMGjQILF9qqqqIBQKMW3atEaTtYcOHWLHefXqFbp16wZvb28EBgaKbe/j44MXL17g8OHD0NHRQXJyMry9vXHx4kWJ96ws93n9z0xlZSVWrVqFadOmseM8fvwYBw4cwDfffCP1nAghn4Zp+NHmDuEfqeBbr+YOgRBCCCGENDNaIUwa1a9fPyxevBhDhw5tUr+UlBT07t0bSkpK7D5TU1MkJCTAx8cHGhoaMo9VXV2NpUuXwszMDEKhEPb29ti7dy97vHalZWpqKhwdHaGsrAxXV1fk5+cDAAoKCiAnJ4eLFy9yxo2Pj29yfdyMjAw4OztDIBBAX18f4eHhUldhlpeXIzQ0FK1bt4aKigq6dOnSYLXhvn37YGdnB4FAAFNTU065h6ioKLRr167BuB07dkRERITEeQcOHIiUlBSp5xIfH4/Zs2fDyckJlpaWiImJgaWlJX788Uep/eqru7q0oKAAPB4P+/fvR8+ePaGsrAx7e3tkZ2dz+kg7Z3FevHiBgIAAdpXnl19+iatXr3LarF27FhYWFuDz+bC2tsa2bdvYY/7+/hgwYACnfWVlJVq2bInNmzfLfK4rV67EmTNn8PPPP2PatGno3LkzjI2N4e7ujnXr1iEmJobTXiAQQE9PDyYmJvjf//4HDw8PHD58mNOmZcuW0NPT47ykPZgtJSUFAwcObLBflrnqkuWzffbsWfj6+qJHjx4wNTXFxIkTYW9vj/Pnz0vso6KigrVr1yIwMFDqlwVlZWU4efIkmxAeN24cFixYAA8PD6nxTJ06Fc7OzjA3N8f8+fOhqamJS5cuSewj631e9zPD4/EAAF9++SVu3ryJAwcOYODAgTA0NJQ4DyGEEEIIIYQQ8k9ACWHy0WRmZsLR0fGDjLV06VJs3boV69atw82bNzFjxgx8/fXXyMjI4LSbN28e4uLicPHiRSgoKLB1Zk1NTeHh4QGRSMRpLxKJ4OfnJzX5VteDBw/Qv39/ODk54erVq1i7di02b96MxYsXS+wTFBSE7OxspKSk4Nq1axgxYgT69u2L27dvAwAuXboEb29vjBo1CtevX0dkZCQiIiKQlJQEoCaRmZeXhwsXLrBjXrlyBdeuXZP6cDJnZ2ecP38e5eXlMp0bUJN4f/nyJbS0tGTuI8m8efMQGhqKnJwcWFlZYfTo0WzivLFzFmfEiBF4/PgxfvrpJ1y6dAmdOnVCr1698OzZMwDAgQMHEBwcjJkzZ+LGjRv45ptvMH78eKSlpQGoqcl7/PhxFBUVsWMeOXIEr1+/xsiRI2U+r507d6J3794SV6PWJhIlEQqFqKiokHm++p49e4bc3FyZPlvvOxcAuLq64vDhw3jw4AEYhkFaWhpu3bqFPn36sG38/PzQo0ePJo+dmpqK1q1bo23btk2KZ9euXXj27Bmqq6uRkpKCsrIyzvw9evSAn5+fxDEk3ed1PzMKCgqYOXMmVq1ahWPHjuHkyZM4efIkvLxoZR0hhBBCCCGEkH82SgiTj+b+/fswMDB473HKy8sRExODH374AZ6enjA3N4efnx++/vprrF+/ntN2yZIlcHd3h62tLcLDw3H27FmUlZUBqEkI7ty5k02QXr58GdevX5eaVK1vzZo1MDIyQmJiItq2bYshQ4Zg0aJFiIuLE7vKuLCwECKRCHv27EH37t1hYWGB0NBQdOvWjU1Or1ixAr169UJERASsrKzg5+eHoKAgLF++HABgaGgIT09PTjJbJBLB3d0d5ubmEmM1MDBARUWF1Fq09cXGxqK0tBTe3t4y95EkNDQUXl5esLKywqJFi3D//n3cuXMHQOPnXN+ZM2dw/vx57NmzB46OjrC0tERsbCw0NTXZleKxsbHw8/PD5MmTYWVlhZCQEAwbNgyxsbEAahKJ9VcNi0QijBgxAqqqqjKf161btxo87G3o0KFQVVWFqqoqXF1dxfZjGAanT5/GiRMn8OWXX3KOGRoasv1VVVVhZ2cncf7CwkIwDCP1syVtrqb6/vvvYWtrC0NDQ/D5fPTt2xerV6/GF198wbbR19eHsbFxk8euWy5CVrt370ZlZSW0tbUhEAjwzTff4MCBA2jTpg3bxtjYGPr6+hLHkHSf1/3MVFVVISEhAdOmTUP//v3Rp08f9O3bF8ePH5c4bnl5OUpKSjgvQgghhBBCCCHkc0MJYfLeYmJiOMmswsJCAMCbN2845SJkkZmZyRlrx44duHPnDl6/fo3evXtzjm3duhV3797l9O/QoQP737UJocePHwMAhgwZAnl5eRw4cABAzQPKevbsCVNTU7Gx1J1r0qRJAIC8vDy4uLhwVoG6ubmhtLQUf/75Z4Mxrl+/jqqqKlhZWXHGy8jIYGPPy8uDm5sbp5+bmxtu376NqqoqAEBgYCB27tyJsrIyVFRUIDk5mV39LIlQKAQAvH79WuL51JWcnIxFixZh9+7dbP3aHTt2cPplZmZKnbMuae+FLOdc19WrV1FaWgptbW1OPPfu3Wv0Oubl5bHbAQEBbGL9r7/+wk8//STxOkq6r8VZs2YNcnJy4O/vz17vWkeOHIGqqiqUlJTQr18/jBw5EpGRkZw2mZmZyMnJYV/Hjh2TONebN28AQOxnS9Jc4j5Xsvr+++/x66+/4vDhw7h06RLi4uIwZcoUnD59mm1Tu4K/KRiGwY8//tjkhHBERARevHiB06dP4+LFiwgJCYG3tzeuX7/Ottm6dSunjnNd4u7zWnU/M9XV1aisrERqairs7OwwdOhQHDx4EAUFBRJjW7p0KTQ0NNiXkZFRk86NEEIIIYQQQgj5FOihcuS9TZo0ibPSrnbloo6ODp4/f96ksRwdHZGTk8Nut2rVCrm5uQCAo0ePonXr1pz2AoGAs62oqMj+d23StnblLp/Ph4+PD0QiEYYNG4bk5GQkJCRIjKVuHPUf+CWr0tJSyMvL49KlS5CXl+cca8qq1IEDB0IgEODAgQPg8/morKzE8OHDpfapLaWgq6sLQPr5pKSkICAgAHv27OHUbx00aBC6dOnCbte//tJIey+aqrS0FPr6+g1qLwOApqamzOP4+PggPDwc2dnZOHv2LMzMzNC9e3exbSXd15aWlmxt6lq1CW9xpTZ69uyJtWvXgs/nw8DAAAoKDf/smpmZyXweOjo6AIDnz5+z721jc4n7XMnizZs3mDt3Lg4cOMCWSujQoQNycnIQGxsrtdZvY86fP4+3b99KXFEtzt27d5GYmIgbN26wq6jt7e2RmZmJ1atXY926dVL7S7rPa9X9zCgqKiI0NJRzvFWrVmK/TKk1Z84chISEsNslJSWUFCaEEEIIIYQQ8tmhhDB5b1paWmITYQ4ODmwyV1ZCoZDz028AsLW1hUAgQGFhIdzd3d8r1oCAALRr1w5r1qzB27dvMWzYMIlt68cBADY2Nti3bx8YhmGTnFlZWVBTUxP7sCkHBwdUVVXh8ePHEhOPNjY2yMrK4uzLysqClZUVm0RWUFCAr68vRCIR+Hw+Ro0axa5mlOTGjRswNDRkE4jizgeoqYnr7++PlJSUBvVR1dTUoKamJnWedyHLOdfVqVMnPHr0CAoKChJXdNeO6evryxnT1taW3dbW1saQIUMgEomQnZ0ttVyIpPt69OjRmD9/Pq5cuSKxjnBdKioqEq/9u7CwsIC6ujpyc3NhZWUl01ziPleyqKysRGVlZYMa2/Ly8u+c3K916NAheHl5iX2/Jaldff0u8Ui7z2vV/8zUqr+iWxKBQNDgSypCCCGEEEIIIeRzQwlh0qjS0lK29isA3Lt3Dzk5OdDS0pJaN9TT0xNbtmxpsL92pWJpaSmePHmCnJwc8Pl8TuKuLjU1NYSGhmLGjBmorq5Gt27dUFxcjKysLKirq3MSgI2xsbFB165dERYWBn9//0aTqvVNnjwZ8fHxmDp1KoKCgpCfn4+FCxciJCRE7IPprKysMHbsWPj4+CAuLg4ODg548uQJUlNT0aFDB3h5eWHmzJlwcnJCdHQ0Ro4ciezsbCQmJmLNmjWcsQICAmBjYwMADZKp4mRmZnIe/CVOcnIyfH19kZCQgC5durD1hoVCITQ0NGS9LE0m6znX8vDwgIuLC4YMGYLvvvsOVlZWePjwIY4ePYqhQ4fC0dERs2bNgre3NxwcHODh4YEff/wR+/fv55Q2AGqu44ABA1BVVdWke6fWjBkzcPToUfTq1QsLFy5E9+7d0aJFC9y6dQs//fRTkxKctR4/fszWuq6lra3NWWVdS05ODh4eHjhz5gyGDBnS5Lnqauyzra6uDnd3d8yaNQtCoRAmJibIyMjA1q1bsWLFCrbfnDlz8ODBA07ZiNzcXFRUVODZs2d4+fIl+7nv2LEjAODw4cOIiorixPPs2TMUFhbi4cOHAMCuxNbT04Oenh7atm2LNm3a4JtvvkFsbCy0tbVx8OBBnDp1CkeOHGHH8fHxQevWrdmyEbLe57J8Zgghn4+Cb+khj4QQQgghhLwThpBGpKWlMQAavHx9faX2e/r0KaOkpMT89ttvnP3ixjIxMZE6VnV1NRMfH89YW1szioqKjK6uLuPp6clkZGRwYnz+/Dnb58qVKwwA5t69e5yxNm/ezABgzp8/L/Y8644hTnp6OuPk5MTw+XxGT0+PCQsLYyorK9nj7u7uTHBwMLtdUVHBLFiwgDE1NWUUFRUZfX19ZujQocy1a9fYNnv37mVsbW0ZRUVFxtjYmFm+fLnYubt3787Y2dk12O/r68sMHjyY3X7z5g2joaHBZGdnSz0Xd3f3d3pvTUxMmJUrV7LbAJgDBw4wDMMw9+7dYwAwV65cYY8/f/6cAcCkpaXJfM715ygpKWGmTp3KGBgYMIqKioyRkREzduxYprCwkG2zZs0axtzcnFFUVGSsrKyYrVu3Noi9urqaMTExYfr37y/2etR97yQpKytjvv32W8be3p4RCoWMQCBg2rZty8yYMYMTT/33pT5Jny0AUt+7Y8eOMa1bt2aqqqpknqsp89d9/4uKihg/Pz/GwMCAUVJSYqytrZm4uDimurqaM7e7uztnbBMTE7FjMwzD3LlzhxEIBExpaSmnj0gkEttn4cKFbJtbt24xw4YNY1q2bMkoKyszHTp0aPA+u7u7c85Blvtc1s9MUxQXFzMAmOLi4g82JiGEEEIIIYQQIoms/w7lMQzDfOgkMyG1Zs2ahZKSEqxfv765Q2FFR0djz549uHbtWnOH0iQMw8DS0hKTJ0/m1CkVZ+3atThw4ABOnjz5iaL75ygtLUXr1q3ZWtL/RAzDoEuXLpgxYwZGjx7d3OE02YoVK3D69GmpD8/71D7GZ6akpAQaGhooLi5+5zrkhBBCCCGEEEKIrGT9d2jD37gT8gHNmzcPJiYm711v9EMoLS3FjRs3kJiYiKlTpzZ3OE3y5MkTJCYm4tGjR1Lr3tZSVFTE999//wki++eorq7G48ePER0dDU1NTQwaNKi5Q3pnPB4PGzZswNu3b5s7lHdiaGiIOXPmNHcYHPSZIYQQQgghhBDyX0ErhMl/hp+fH3bu3IkhQ4YgOTn5nWq9NhcejwcdHR0kJCRgzJgxzR3OP1JBQQHMzMxgaGiIpKQk9OrVq7lDIv9ytEKYEEIIIYQQQsinRCuECaknKSkJ5eXl2LVr1z8qGQzUlAh48uQJJYPfg6mpKRiGgby8PK5fv87u5/F4OHjwoNS+fn5+7/0At8b06NED06dPf68xIiMj2Ye2/RcUFBSAx+OxD6wDah642L59eygqKn7094wQQgghhBBCCPknooQwIeSj+RBJzo+tqKgI/fr1AyA+wfhvJ0tCXBb79++Ho6MjNDU1oaKigo4dO2Lbtm3vH2AThYSEoGPHjrh37x6SkpJk6vMpEv6EEEIIIYQQQsjnQqG5AyCEkA+hoqICfD6/yf309PQ+QjT/PVpaWpg3bx7atm0LPp+PI0eOYPz48WjZsiU8PT0/WRx3797FpEmTYGho+MnmJISQfxLT8KPNHQJ5TwXfejV3CIQQQgj5h6MVwoSQj8LPzw8ZGRlISEgAj8cDj8dDQUEBqqqqMGHCBJiZmUEoFMLa2hoJCQmcvuJWFg8ZMgR+fn7stqmpKaKjo+Hj4wN1dXVMnDgRALBv3z7Y2dlBIBDA1NQUcXFxUuOsu0LWzMwMAODg4AAej4cePXpw2sbGxkJfXx/a2tqYMmUKKisr2WPPnz+Hj48PWrRoAWVlZfTr1w+3b9/m9M/KykKPHj2grKyMFi1awNPTE8+fP2ePV1dXY/bs2dDS0oKenh4iIyM5/QsLCzF48GCoqqpCXV0d3t7e+OuvvySe24ULF9C7d2/o6OhAQ0MD7u7uuHz5MucaAsDQoUPB4/HYbQA4dOgQOnXqBCUlJZibm2PRokVSH2LXo0cPDB06FDY2NrCwsEBwcDA6dOiAM2fOSOzDMAwiIyNhbGwMgUAAAwMDTJs2jT0ubvWypqam2JW/tau7nz59Cn9/f/B4PCQlJTV6v0VGRmLLli04dOgQe5+mp6cDAP744w94e3tDU1MTWlpaGDx4MAoKCiSeDyGEEEIIIYQQ8k9ACWFCyEeRkJAAFxcXBAYGoqioCEVFRTAyMkJ1dTUMDQ2xZ88e5ObmYsGCBZg7dy52797d5DliY2Nhb2+PK1euICIiApcuXYK3tzdGjRqF69evIzIyEhERETKXDjh//jwA4PTp0ygqKsL+/fvZY2lpabh79y7S0tKwZcsWJCUlccb18/PDxYsXcfjwYWRnZ4NhGPTv359NGufk5KBXr16wtbVFdnY2zpw5g4EDB6KqqoodY8uWLVBRUcG5c+fw3XffISoqCqdOnQJQkywePHgwnj17hoyMDJw6dQq///47Ro4cKfF8Xr58CV9fX5w5cwa//vorLC0t0b9/f7x8+RJATcIYAEQiEYqKitjtzMxM+Pj4IDg4GLm5uVi/fj2SkpKwZMkSma4jwzBITU1Ffn4+vvjiC4nt9u3bh5UrV2L9+vW4ffs2Dh48iPbt28s0R31GRkYoKiqCuro64uPjUVRUhJEjRzZ6v4WGhsLb2xt9+/Zl71NXV1dUVlbC09MTampqyMzMRFZWFlRVVdG3b19UVFS8U4yEEEIIIYQQQsjngEpGEEI+Cg0NDfD5fCgrK3PKMsjLy2PRokXstpmZGbKzs7F79254e3s3aY4vv/wSM2fOZLfHjh2LXr16ISIiAgBgZWWF3NxcLF++nLO6WBJdXV0AgLa2doNSEi1atEBiYiLk5eXRtm1beHl5ITU1FYGBgbh9+zYOHz6MrKwsuLq6AgB27NgBIyMjHDx4ECNGjMB3330HR0dHrFmzhh3Tzs6OM0eHDh2wcOFCAIClpSUSExORmpqK3r17IzU1FdevX8e9e/dgZGQEANi6dSvs7Oxw4cIFODk5ib0+dW3YsAGamprIyMjAgAED2PPV1NTknO+iRYsQHh4OX19fAIC5uTmio6Mxe/ZsNj5xiouL0bp1a5SXl0NeXh5r1qxB7969JbYvLCyEnp4ePDw8oKioCGNjYzg7O0tsL428vDz09PTA4/GgoaHR4Hxq1b/fVFVVIRQKUV5ezumzfft2VFdXY9OmTeDxeABqEueamppIT09Hnz59GsRQXl6O8vJydrukpOSdzoUQQgghhBBCCPmYaIUwIeSTW716NTp37gxdXV2oqqpiw4YNKCwsbPI4jo6OnO28vDy4ublx9rm5ueH27duclbjvws7ODvLy8uy2vr4+Hj9+zM6roKCALl26sMe1tbVhbW2NvLw8AP+3QliaDh06cLbrz2FkZMQmgwHA1tYWmpqa7Bz1/fXXXwgMDISlpSU0NDSgrq6O0tLSRq/11atXERUVBVVVVfZVu9L79evXEvupqakhJycHFy5cwJIlSxASEsKWX4iJieGMV1hYiBEjRuDNmzcwNzdHYGAgDhw4ILUsxbt6l/vt6tWruHPnDtTU1NiYtbS0UFZWhrt374rts3TpUmhoaLCvuu8VIYQQQgghhBDyuaAVwoSQTyolJQWhoaGIi4uDi4sL1NTUsHz5cpw7d45tIycnB4ZhOP3q1uutpaKi8tHjraWoqMjZ5vF4qK6ulrm/UCj86HPU5+vri6dPnyIhIQEmJiYQCARwcXFptORBaWkpFi1ahGHDhjU4pqSkJLGfnJwc2rRpAwDo2LEj8vLysHTpUvTo0QOTJk3irAA3MDCAgoIC8vPzcfr0aZw6dQqTJ0/G8uXLkZGRAUVFRfB4PJnuA2lkud/EKS0tRefOnbFjx44Gx2pXVtc3Z84chISEsNslJSWUFCaEEEIIIYQQ8tmhhDAh5KPh8/kNVubWllWYPHkyu6/+iktdXV0UFRWx21VVVbhx4wZ69uwpdT4bGxtkZWU1mM/KyoqzuldavLXzNYWNjQ3evn2Lc+fOsSUjnj59ivz8fNja2gKoWf2bmprKKV/Q1Dn++OMP/PHHH2ySMTc3Fy9evGDnqC8rKwtr1qxB//79AdQ8JO3vv//mtFFUVGxwvp06dUJ+fj6b3H1X1dXVbAkFLS0taGlpNWgjFAoxcOBADBw4EFOmTEHbtm1x/fp1dOrUqcF9cPv2bakrlMWR5X4Td5926tQJu3btQsuWLaGuri7TXAKBAAKBoEnxEUIIIYQQQgghnxolhAkhH42pqSnOnTuHgoIC9if3lpaW2Lp1K06cOAEzMzNs27YNFy5cgJmZGdvvyy+/REhICI4ePQoLCwusWLECL168aHS+mTNnwsnJCdHR0Rg5ciSys7ORmJjIqdsrTcuWLSEUCnH8+HEYGhpCSUkJGhoajfaztLTE4MGDERgYiPXr10NNTQ3h4eFo3bo1Bg8eDKBm9Wj79u0xefJkTJo0CXw+H2lpaRgxYgR0dHQancPDwwPt27fH2LFjER8fj7dv32Ly5Mlwd3dvUDqjblzbtm2Do6MjSkpKMGvWrAYrlU1NTZGamgo3NzcIBAK0aNECCxYswIABA2BsbIzhw4dDTk4OV69exY0bN7B48WKxcy1duhSOjo6wsLBAeXk5jh07hm3btmHt2rUSzykpKQlVVVXo0qULlJWVsX37dgiFQpiYmACouQ8SExPh4uKCqqoqhIWFNVhF3RhZ7jdTU1OcOHEC+fn50NbWhoaGBsaOHYvly5dj8ODBiIqKgqGhIe7fv4/9+/dj9uzZMDQ0bFIchBDyuSj41qu5QyCEEEIIIc2MaggTQj6a0NBQyMvLw9bWFrq6uigsLMQ333yDYcOGYeTIkejSpQuePn3KWb0JAP7+/vD19YWPjw/c3d1hbm7e6OpgoGZV5+7du5GSkoJ27dphwYIFiIqKkumBcgCgoKCAVatWYf369TAwMGCTubIQiUTo3LkzBgwYABcXFzAMg2PHjrEJTCsrK5w8eRJXr16Fs7MzXFxccOjQISgoyPa9HI/Hw6FDh9CiRQt88cUX8PDwgLm5OXbt2iWxz+bNm/H8+XN06tQJ48aNw7Rp09CyZUtOm7i4OJw6dQpGRkZwcHAAAHh6euLIkSM4efIknJyc0LVrV6xcuZJN1Irz6tUrTJ48GXZ2dnBzc8O+ffuwfft2BAQESOyjqamJjRs3ws3NDR06dMDp06fx448/Qltbm43NyMgI3bt3x5gxYxAaGgplZWWZrlctWe63wMBAWFtbw9HREbq6usjKyoKysjJ++eUXGBsbY9iwYbCxscGECRNQVlYm84phQgghhBBCCCHkc8Rj6hdoJIQQQsh7KykpgYaGBoqLiymJTAghhBBCCCHko5P136G0QpgQQgghhBBCCCGEEEL+IyghTAghhBBCCCGEEEIIIf8RlBAmhJB3kJ6eDh6PJ9PD7ppDjx49MH369OYOQ2YFBQXg8XjIycl5r3FMTU0RHx//QWIihBBCCCGEEEL+jSghTAj5bPzTkpjkny8pKQmamprNHQYhhBBCCCGEEPLJyPZ4e0II+RepqKgAn89v7jAIIYSQT840/Ghzh0DIOyn41qu5QyCEEEL+NWiFMCHks+Dn54eMjAwkJCSAx+OBx+Ph7t27mDBhAszMzCAUCmFtbY2EhAROP3GriocMGQI/Pz9229TUFNHR0fDx8YG6ujomTpwIANi3bx/s7OwgEAhgamqKuLg4zjjl5eUICwuDkZERBAIB2rRpg82bN3PaXLp0CY6OjlBWVoarqyvy8/M5xw8dOoROnTpBSUkJ5ubmWLRoEd6+fcse5/F42LRpE4YOHQplZWVYWlri8OHDnDEyMjLg7OwMgUAAfX19hIeHc8Z49eoVfHx8oKqqCn19/QbnUXsuoaGhaN26NVRUVNClSxekp6dz2ki7HlFRUTAwMMDTp0/ZfV5eXujZsyeqq6vh7++PAQMGcMarrKxEy5Yt2WtWXV2N7777Dm3atIFAIICxsTGWLFnC6fP777+jZ8+eUFZWhr29PbKzs2WOUZwVK1agffv2UFFRgZGRESZPnozS0lIANWU/xo8fj+LiYvaei4yMlPl6EUIIIYQQQggh/0SUECaEfBYSEhLg4uKCwMBAFBUVoaioCIaGhjA0NMSePXuQm5uLBQsWYO7cudi9e3eTx4+NjYW9vT2uXLmCiIgIXLp0Cd7e3hg1ahSuX7+OyMhIREREICkpie3j4+ODnTt3YtWqVcjLy8P69euhqqrKGXfevHmIi4vDxYsXoaCgAH9/f/ZYZmYmfHx8EBwcjNzcXKxfvx5JSUkNkqCLFi2Ct7c3rl27hv79+2Ps2LF49uwZAODBgwfo378/nJyccPXqVaxduxabN2/G4sWL2f6zZs1CRkYGDh06hJMnTyI9PR2XL1/mzBEUFITs7GykpKTg2rVrGDFiBPr27Yvbt28DQKPXY968eTA1NUVAQAAAYPXq1Th79iy2bNkCOTk5BAQE4Pjx4ygqKmLnPHLkCF6/fo2RI0cCAObMmYNvv/0WERERyM3NRXJyMlq1atXgeoaGhiInJwdWVlYYPXo0m/yW5T2rT05ODqtWrcLNmzexZcsW/Pzzz5g9ezYAwNXVFfHx8VBXV2fvudDQUJmuFyGEEEIIIYQQ8k/FYxiGae4gCCEEqFnt27FjR6kPBQsKCsKjR4+wd+9eiX2GDBkCTU1NNlFoamoKBwcHHDhwgG0zduxYPHnyBCdPnmT3zZ49G0ePHsXNmzdx69YtWFtb49SpU/Dw8GgQR3p6Onr27InTp0+jV69eAIBjx47By8sLb968gZKSEjw8PNCrVy/MmTOH7bd9+3bMnj0bDx8+BFCzQnj+/PmIjo4GULPaV1VVFT/99BP69u2LefPmYd++fcjLywOPxwMArFmzBmFhYSguLsbr16+hra2N7du3Y8SIEQCAZ8+ewdDQEBMnTkR8fDwKCwthbm6OwsJCGBgYsLF4eHjA2dkZMTExjV4PoGb1bseOHTF58mSsWrUKmzZtwpgxY9j2dnZ28PX1ZROugwYNgra2NkQiEV6+fAldXV0kJiaySeW6CgoKYGZmhk2bNmHChAkAgNzcXNjZ2SEvLw9t27aVKUZTU1NMnz5dYi3qvXv3YtKkSfj7778B1NQQnj59OufhgLJcL3HKy8tRXl7ObpeUlMDIyAjFxcVQV1cX24cQQj41KhlB/qmoZAQhhBDSuJKSEmhoaDT671BaIUwI+aytXr0anTt3hq6uLlRVVbFhwwYUFhY2eRxHR0fOdl5eHtzc3Dj73NzccPv2bVRVVSEnJwfy8vJwd3eXOm6HDh3Y/9bX1wcAPH78GABw9epVREVFQVVVlX3VroB+/fq12DFUVFSgrq7OjpGXlwcXFxc2GVwbZ2lpKf7880/cvXsXFRUV6NKlC3tcS0sL1tbW7Pb169dRVVUFKysrTiwZGRm4e/euTNcDAMzNzREbG4tly5Zh0KBBnGQwAAQEBEAkEgEA/vrrL/z000/sium8vDyUl5ezyfN3uZ6yxFhfbcK+devWUFNTw7hx4/D06VPO9a9PluslztKlS6GhocG+jIyMpJ4rIYQQQgghhBDSHOihcoSQz1ZKSgpCQ0MRFxcHFxcXqKmpYfny5Th37hzbRk5ODvV/6FBZWdlgLBUVlSbNLRQKZWqnqKjI/ndt0ra6uhoAUFpaikWLFmHYsGEN+ikpKYkdo3ac2jE+hNLSUsjLy+PSpUuQl5fnHKtfAqMxv/zyC+Tl5VFQUIC3b99CQeH//jfi4+OD8PBwZGdn4+zZszAzM0P37t0BfJjr2VQFBQUYMGAA/ve//2HJkiXQ0tLCmTNnMGHCBFRUVEBZWVlsv3e9XnPmzEFISAi7XbtCmBBCCCGEEEII+ZxQQpgQ8tng8/mclZ5ZWVlwdXXF5MmT2X31V2jq6upy6tZWVVXhxo0b6Nmzp9S5bGxskJWVxdmXlZUFKysryMvLo3379qiurkZGRobYkhGy6NSpE/Lz89GmTZt36l8b5759+8AwDJsgzcrKgpqaGgwNDaGlpQVFRUWcO3cOxsbGAIDnz5/j1q1b7OpmBwcHVFVV4fHjx2yCVtw80q4HAOzatQv79+9Heno6vL29ER0djUWLFrHttbW1MWTIEIhEImRnZ2P8+PHsMUtLSwiFQqSmpootGSHrtWgsxrouXbqE6upqxMXFQU6u5gcx9etP17/nANmulzgCgQACgUDm9oQQQgghhBBCSHOghDAh5LNhamqKc+fOoaCgAKqqqrC0tMTWrVtx4sQJmJmZYdu2bbhw4QLMzMzYPl9++SVCQkJw9OhRWFhYYMWKFZx6sJLMnDkTTk5OiI6OxsiRI5GdnY3ExESsWbOGjcXX1xf+/v5YtWoV7O3tcf/+fTx+/Bje3t4ync+CBQswYMAAGBsbY/jw4ZCTk8PVq1dx48YNzkPhpJk8eTLi4+MxdepUBAUFIT8/HwsXLkRISAjk5OSgqqqKCRMmYNasWdDW1kbLli0xb948NgEKAFZWVhg7dix8fHwQFxcHBwcHPHnyBKmpqejQoQO8vLwavR5//vkn/ve//2HZsmXo1q0bRCIRBgwYgH79+qFr167sXAEBARgwYACqqqrg6+vL7ldSUkJYWBhmz54NPp8PNzc3PHnyBDdv3mRrBjemsRjra9OmDSorK/H9999j4MCByMrKwrp16zhtTE1NUVpaitTUVNjb20NZWVmm60UIIf9UVIeVEEIIIYSAIYSQz0R+fj7TtWtXRigUMgCY3377jfHz82M0NDQYTU1N5n//+x8THh7O2Nvbs30qKiqY//3vf4yWlhbTsmVLZunSpczgwYMZX19fto2JiQmzcuXKBvPt3buXsbW1ZRQVFRljY2Nm+fLlnONv3rxhZsyYwejr6zN8Pp9p06YN88MPPzAMwzBpaWkMAOb58+ds+ytXrjAAmHv37rH7jh8/zri6ujJCoZBRV1dnnJ2dmQ0bNrDHATAHDhzgzKuhocGIRCJ2Oz09nXFycmL4fD6jp6fHhIWFMZWVlezxly9fMl9//TWjrKzMtGrVivnuu+8Yd3d3Jjg4mHOdFixYwJiamjKKioqMvr4+M3ToUObatWuNXo/q6mqmV69ejKenJ1NdXc22nzp1KmNhYcG8fPmS3VddXc2YmJgw/fv3b3C9q6qqmMWLFzMmJibsHDExMQzDMMy9e/cYAMyVK1fY9s+fP2cAMGlpaY3GWKv+e71ixQpGX1+fEQqFjKenJ7N169YG79ukSZMYbW1tBgCzcOFCma9XY4qLixkATHFxscx9CCGEEEIIIYSQdyXrv0N5DFOv+CYhhBDyjkpLS9G6dWuIRCKxtZP/S2R9uishhBBCCCGEEPIhyPrvUCoZQQgh5L1VV1fj77//RlxcHDQ1NTFo0KDmDokQQgghhBBCCCFiUEKYEELIeyssLISZmRkMDQ2RlJQEBQX63wshhBBCCCGEEPI5kmu8CSGEkH8DHo+HgwcPfpSxTU1NwTAM/vjjD/Tq1Yvd7+fnhyFDhjR5rPj4+A8SV0FBAXg8HnJycj7IeIQQQgghhBBCyD8dLeEihJD/iKKiIrRo0aK5w/ikjIyMUFRUBB0dneYOhRBCCCGEEEII+SxQQpgQQj5jFRUV4PP5H2QsPT29DzLOP4m8vPx/8rwJIUQS0/CjzR0CkaDgW6/mDoEQQggh/xFUMoIQQj6hHj16ICgoCEFBQdDQ0ICOjg4iIiLAMAyAmnIJ0dHR8PHxgbq6OiZOnAgA2LdvH+zs7CAQCGBqaoq4uDjOuLX9Ro8eDRUVFbRu3RqrV6/mtKlfMuL69ev48ssvIRQKoa2tjYkTJ6K0tJQ9XlvuITY2Fvr6+tDW1saUKVNQWVkJAIiKikK7du0anGPHjh0REREh9vxfvnyJsWPHQkVFBfr6+li5ciV69OiB6dOni23v7++PAQMGcPZVVlaiZcuW2Lx5M4CaB9p99913aNOmDQQCAYyNjbFkyRIADUtGpKeng8fjITU1FY6OjlBWVoarqyvy8/M5cxw6dAidOnWCkpISzM3NsWjRIrx9+1ZsjIQQQgghhBBCyD8JJYQJIeQT27JlCxQUFHD+/HkkJCRgxYoV2LRpE3s8NjYW9vb2uHLlCiIiInDp0iV4e3tj1KhRuH79OiIjIxEREYGkpCTOuMuXL2f7hYeHIzg4GKdOnRIbw6tXr+Dp6YkWLVrgwoUL2LNnD06fPo2goCBOu7S0NNy9exdpaWnYsmULkpKS2Hn9/f2Rl5eHCxcusO2vXLmCa9euYfz48WLnDQkJQVZWFg4fPoxTp04hMzMTly9flnitAgICcPz4cRQVFbH7jhw5gtevX2PkyJEAgDlz5uDbb79FREQEcnNzkZycjFatWkkcEwDmzZuHuLg4XLx4EQoKCvD392ePZWZmwsfHB8HBwcjNzcX69euRlJTEJpklKS8vR0lJCedFCCGEEEIIIYR8bqhkBCGEfGJGRkZYuXIleDwerK2tcf36daxcuRKBgYEAgC+//BIzZ85k248dOxa9evViV91aWVkhNzcXy5cvh5+fH9vOzc0N4eHhbJusrCysXLkSvXv3bhBDcnIyysrKsHXrVqioqAAAEhMTMXDgQCxbtoxNqLZo0QKJiYmQl5dH27Zt4eXlhdTUVAQGBsLQ0BCenp4QiURwcnICAIhEIri7u8Pc3LzBnC9fvsSWLVuQnJzMPnhOJBLBwMBA4rVydXWFtbU1tm3bhtmzZ7N9RowYAVVVVbx8+RIJCQlITEyEr68vAMDCwgLdunWT+h4sWbIE7u7uAIDw8HB4eXmhrKwMSkpKWLRoEcLDw9nxzM3NER0djdmzZ2PhwoUSx1y6dCkWLVokdV5CCCGEEEIIIaS50QphQgj5xLp27Qoej8duu7i44Pbt26iqqgIAODo6ctrn5eXBzc2Ns8/NzY3Tp3aculxcXJCXlyc2hry8PNjb27PJ4Noxq6urOeUT7OzsIC8vz27r6+vj8ePH7HZgYCB27tyJsrIyVFRUIDk5mbPatq7ff/8dlZWVcHZ2ZvdpaGjA2tpabPtaAQEBEIlEAIC//voLP/30EztHXl4eysvL2QSzrDp06MA5JwDseV29ehVRUVFQVVVlX4GBgSgqKsLr168ljjlnzhwUFxezrz/++KNJMRFCCCGEEEIIIZ8CrRAmhJDPTN0kbXNTVFTkbPN4PFRXV7PbAwcOhEAgwIEDB8Dn81FZWYnhw4d/0Bh8fHwQHh6O7OxsnD17FmZmZujevTsAQCgUvtOYdc+rNjlfe16lpaVYtGgRhg0b1qCfkpKSxDEFAgEEAsE7xUMIIYQQQgghhHwqlBAmhJBP7Ny5c5ztX3/9FZaWlpyVuHXZ2NggKyuLsy8rKwtWVlacPr/++muDcW1sbCSOmZSUhFevXrEJ6KysLMjJyTW6YrcuBQUF+Pr6QiQSgc/nY9SoURKTtObm5lBUVMSFCxdgbGwMACguLsatW7fwxRdfSJxDW1sbQ4YMgUgkQnZ2Nqc+saWlJYRCIVJTUxEQECBz3NJ06tQJ+fn5aNOmzQcZjxBCCCGEEEII+ZxQQpgQQj6xwsJChISE4JtvvsHly5fx/fffIy4uTmL7mTNnwsnJCdHR0Rg5ciSys7ORmJiINWvWcNplZWXhu+++w5AhQ3Dq1Cns2bMHR48eFTvm2LFjsXDhQvj6+iIyMhJPnjzB1KlTMW7cuEYfyFZfQEAAm3iun7iuS01NDb6+vpg1axa0tLTQsmVLLFy4EHJycpwSGpLmGDBgAKqqqtjavkDNit2wsDDMnj0bfD4fbm5uePLkCW7evIkJEyY06TxqLViwAAMGDICxsTGGDx8OOTk5XL16FTdu3MDixYvfaUxCCPlcFHzr1dwhEEIIIYSQZkYJYUII+cR8fHzw5s0bODs7Q15eHsHBwZg4caLE9p06dcLu3buxYMECREdHQ19fH1FRUZwHygE1ieOLFy9i0aJFUFdXx4oVK+Dp6Sl2TGVlZZw4cQLBwcFwcnKCsrIyvvrqK6xYsaLJ52NpaQlXV1c8e/YMXbp0kdp2xYoVmDRpEgYMGAB1dXXMnj0bf/zxh9RSDADg4eEBfX192NnZNXgIXUREBBQUFLBgwQI8fPgQ+vr6mDRpUpPPo5anpyeOHDmCqKgoLFu2DIqKimjbtu0HW4FMCCGEEEIIIYQ0Jx7DMExzB0EIIf8VPXr0QMeOHREfH/9BxzU1NcX06dMxffr0DzquLBiGgaWlJSZPnoyQkJAm9X316hVat26NuLg4qSt6S0tL0bp1a4hEIrG1fT9HJSUl0NDQQHFxMdTV1Zs7HEIIIYQQQggh/3Ky/juUVggTQgh5Z0+ePEFKSgoePXrEqe0ryZUrV/Dbb7/B2dkZxcXFiIqKAgAMHjxYbPvq6mr8/fffiIuLg6amJgYNGvRB4yeEEEIIIYQQQv5rKCFMCCHknbVs2RI6OjrYsGEDWrRoIVOf2NhY5Ofng8/no3PnzsjMzISOjo7YtoWFhTAzM4OhoSGSkpKgoED/2yKEEEIIIYQQQt4HlYwghJAPLCkpCdOnT8eLFy8AAJGRkTh48CBycnJk6l9QUAAzMzNcuXIFHTt2/GhxStKc5Sc+NFmuZXp6Onr27Innz59DU1Pzg81NJSMIIYQQQgghhHxKsv47VO4TxkQIIf9JoaGhSE1N/aBj5ufno2fPnmjVqhWUlJRgbm6O+fPno7Ky8oPO809nZGSEoqIitGvXrrlDIYQQQgghhBBCPgv021tCyCdTUVEBPp/f3GF8cqqqqlBVVf2gYyoqKsLHxwedOnWCpqYmrl69isDAQFRXVyMmJuaDztUcPtS9Ii8vDz09vQ8QESGE/DuYhh9t7hD+cwq+9WruEAghhBBCOGiFMCHknfXo0QNBQUEICgqChoYGdHR0EBERgdpKNKampoiOjoaPjw/U1dUxceJEAMCZM2fQvXt3CIVCGBkZYdq0aXj16hU7blFREby8vCAUCmFmZobk5GSYmpoiPj6ebcPj8bBp0yYMHToUysrKsLS0xOHDh9njVVVVmDBhAszMzCAUCmFtbY2EhARO/H5+fhgyZAhiY2Ohr68PbW1tTJkyhbPKtry8HKGhoWjdujVUVFTQpUsXpKenc8ZJSkqCsbExlJWVMXToUDx9+pRzPDIyklOuoLq6GlFRUTA0NIRAIEDHjh1x/PjxJl17c3NzjB8/Hvb29jAxMcGgQYMwduxYZGZmSu338uVLjB07FioqKtDX18fKlSvRo0cPieUhCgoKwOPxOOUuXrx4AR6Px7kON2/exIABA6Curg41NTV0794dd+/eBQCx4w8ZMgR+fn7stqR7Zd++fbCzs4NAIICpqSni4uI445iamiImJgb+/v5QU1ODsbExNmzYIDX+Y8eOwcrKCkKhED179kRBQUGD827sHiWEEEIIIYQQQv6pKCFMCHkvW7ZsgYKCAs6fP4+EhASsWLECmzZtYo/HxsbC3t4eV65cQUREBO7evYu+ffviq6++wrVr17Br1y6cOXMGQUFBbB8fHx88fPgQ6enp2LdvHzZs2IDHjx83mHvRokXw9vbGtWvX0L9/f4wdOxbPnj0DUJN0NTQ0xJ49e5Cbm4sFCxZg7ty52L17N2eMtLQ03L17F2lpadiyZQuSkpKQlJTEHg8KCkJ2djZSUlJw7do1jBgxAn379sXt27cBAOfOncOECRMQFBSEnJwc9OzZE4sXL5Z6zRISEhAXF4fY2Fhcu3YNnp6eGDRoEDvmu7hz5w6OHz8Od3d3qe1CQkKQlZWFw4cP49SpU8jMzMTly5ffeV4AePDgAb744gsIBAL8/PPPuHTpEvz9/fH27dsmjVP/Xrl06RK8vb0xatQoXL9+HZGRkYiIiOC8PwAQFxcHR0dHXLlyBZMnT8b//vc/5Ofni53jjz/+wLBhwzBw4EDk5OQgICAA4eHhnDay3KPilJeXo6SkhPMihBBCCCGEEEI+N1QyghDyXoyMjLBy5UrweDxYW1vj+vXrWLlyJQIDAwEAX375JWbOnMm2DwgIwNixY9kVo5aWlli1ahXc3d2xdu1aFBQU4PTp07hw4QIcHR0BAJs2bYKlpWWDuf38/DB69GgAQExMDFatWoXz58+jb9++UFRUxKJFi9i2ZmZmyM7Oxu7du+Ht7c3ub9GiBRITEyEvL4+2bdvCy8sLqampCAwMRGFhIUQiEQoLC2FgYACgph7w8ePHIRKJEBMTg4SEBPTt2xezZ88GAFhZWeHs2bNSV/zGxsYiLCwMo0aNAgAsW7YMaWlpiI+Px+rVq5t0/V1dXXH58mWUl5dj4sSJiIqKktj25cuX2LJlC5KTk9GrVy8AgEgkYs/tXa1evRoaGhpISUmBoqIigJrr0FT175WxY8eiV69eiIiIYMfMzc3F8uXLOauL+/fvj8mTJwMAwsLCsHLlSqSlpcHa2rrBHGvXroWFhQW70rj2nl22bBnbZunSpVLvUSUlJbHxL126lHPPEUIIIYQQQgghnyNaIUwIeS9du3YFj8djt11cXHD79m1UVVUBAJvUrXX16lUkJSWxdXVVVVXh6emJ6upq3Lt3D/n5+VBQUECnTp3YPm3atEGLFi0azN2hQwf2v1VUVKCurs5ZSbx69Wp07twZurq6UFVVxYYNG1BYWMgZw87ODvLy8uy2vr4+O8b169dRVVUFKysrTrwZGRlsOYS8vDx06dKFM6aLi4vE61VSUoKHDx/Czc2Ns9/NzQ15eXli+9jZ2bFz9+vXj3Ns165duHz5MpKTk3H06FHExsYCADIzMzkx79ixA7///jsqKyvh7OzM9tfQ0BCbOG2KnJwcdO/enU0Gv6v690peXp7Y61T3/gK49wGPx4Oenp7YFeW1Yzb2fjV2j0oyZ84cFBcXs68//vhD+gkTQgghhBBCCCHNgFYIE0I+KhUVFc52aWkpvvnmG0ybNq1BW2NjY9y6dUvmsesnIHk8HqqrqwEAKSkpCA0NRVxcHFxcXKCmpobly5fj3LlzMo9RWloKeXl5XLp0iZM0BvDBHxInzbFjx9i6xkKhkHPMyMgIAGBra4uqqipMnDgRM2fOhKOjI6dubqtWrfD77783eW45uZrvDWvrQgPg1FgWF5O4Mer2FzcG0PBekZW09/BdNHaPSiIQCCAQCN55XkIIIYQQQggh5FOghDAh5L3UT7D++uuvsLS0bJBArdWpUyfk5uaiTZs2Yo9bW1vj7du3uHLlCjp37gygpj7u8+fPmxRXVlYWXF1d2VICANhVvbJycHBAVVUVHj9+jO7du4ttY2NjI/YaSKKurg4DAwNkZWVx6v1mZWVxVu7WZWJiIlO81dXVqKysRHV1NYRCYYNrbG5uDkVFRVy4cIFNbBYXF+PWrVv44osvxI6pq6sLoOZBfw4ODgDASTQDNSt0t2zZgsrKSrGrhHV1dVFUVMRuV1VV4caNG+jZs6fU87GxsUFWVhZnX1ZWFqysrCTeX42xsbHhPHwQaPh+NXaPEkIIIYQQQggh/2SUECaEvJfCwkKEhITgm2++weXLl/H999+z9VnFCQsLQ9euXREUFISAgACoqKggNzcXp06dQmJiItq2bQsPDw9MnDgRa9euhaKiImbOnAmhUMgpTdEYS0tLbN26FSdOnICZmRm2bduGCxcuwMzMTOYxrKysMHbsWPj4+CAuLg4ODg548uQJUlNT0aFDB3h5eWHatGlwc3NDbGwsBg8ejBMnTkitHwwAs2bNwsKFC2FhYYGOHTtCJBIhJycHO3bskDm2HTt2QFFREe3bt4dAIMDFixcxZ84cjBw5UmLpBjU1Nfj6+mLWrFnQ0tJCy5YtsXDhQsjJyUm8tkKhEF27dsW3334LMzMzPH78GPPnz+e0CQoKwvfff49Ro0Zhzpw50NDQwK+//gpnZ2dYW1vjyy+/REhICI4ePQoLCwusWLECL168aPQcZ86cCScnJ0RHR2PkyJHIzs5GYmIi1qxZI/N1qm/SpEmIi4vDrFmzEBAQgEuXLjV4SF1j9yghhPyTFXzr1dwhEEIIIYSQZkY1hAkh78XHxwdv3ryBs7MzpkyZguDgYEycOFFi+w4dOiAjIwO3bt1C9+7d4eDggAULFnAebLZ161a0atUKX3zxBYYOHYrAwECoqalJfJiXON988w2GDRuGkSNHokuXLnj69ClntbCsRCIRfHx8MHPmTFhbW2PIkCGcFbZdu3bFxo0bkZCQAHt7e5w8ebJBwrS+adOmISQkBDNnzkT79u1x/PhxHD58WOyD8yRRUFDAsmXL4OzsjA4dOmDRokUICgrCpk2bpPZbsWIFXFxcMGDAAHh4eMDNzQ02NjZSr+0PP/yAt2/fonPnzpg+fToWL17MOa6trY2ff/4ZpaWlcHd3R+fOnbFx40Y2Me3v7w9fX1/4+PjA3d0d5ubmja4OBmpW6u7evRspKSlo164dFixYgKioKM4D5ZrK2NgY+/btw8GDB2Fvb49169YhJiaG00aWe5QQQgghhBBCCPmn4jH1CzsSQoiMevTogY4dOyI+Pv6jzvPnn3/CyMgIp0+fRq9evT7qXP81r169QuvWrREXF4cJEyY0dzj/KiUlJdDQ0EBxcTHU1dWbOxxCCCGEEEIIIf9ysv47lEpGEEI+O7WrTdu3b4+ioiLMnj0bpqamEuvcEtlduXIFv/32G5ydnVFcXIyoqCgAwODBg5s5MkIIIYQQQgghhHwKlBAmhHx2KisrMXfuXPz+++9QU1ODq6srWzOXvL/Y2Fjk5+eDz+ejc+fOyMzMhI6OTnOHRQghhBBCCCGEkE+AagiTf5X09HTweDyZHlgljamp6UcvgwDUlFyYPn261DY8Hg8HDx4EABQUFIDH4yEnJ+eDxlF3jqZIT09/5+sk7Rp7enrixo0beP36Nf766y8cOHAAJiYmYuf/EO/3pyDLNX769ClatmyJgoKCjxaHg4MDLl26hNLSUjx79gynTp1C+/btP9p8H8rx48fRsWNHVFdXS23n5+cHHo/X5Hu69rPF4/HQsWPH9wuWEEIIIYQQQgj5jFFCmBAxLly4wHkw2rsmTD80IyMjFBUVoV27ds0dCvkIlixZgsGDB8PU1JTdN23aNHTu3BkCgUBiopJhGMTGxsLKygoCgQCtW7fGkiVLpM7FMAwWLFgAfX19CIVCeHh44Pbt2w3avXnzBioqKrhz5w6KioowZswYWFlZQU5OTuKXGfHx8bC2toZQKISRkRFmzJiBsrIyibEUFBRgwoQJMDMzg1AohIWFBRYuXIiKigq2Td++faGoqIgdO3ZIPa/atkVFRejXrx+7b8mSJXB1dYWysjI0NTUb9Kn9bM2cOVPsmD169Gh0XkIIIYQQQggh5J+ASkYQIoaurm5zhyCWvLw89PT0mjsMUkdlZeUHKWXx+vVrbN68GSdOnGhwzN/fH+fOncO1a9fE9g0ODsbJkycRGxuL9u3b49mzZ3j27JnU+b777jusWrUKW7ZsgZmZGSIiIuDp6Ync3FwoKSmx7U6dOgUTExO0adMGBQUF0NXVxfz587Fy5Uqx4yYnJyM8PBw//PADXF1dcevWLXbV7ooVK8T2+e2331BdXY3169ejTZs2uHHjBgIDA/Hq1SvExsay7fz8/LBq1SqMGzdO6rkJBIIGn5OKigqMGDECLi4u2Lx5c4M+tZ8tVVVVdl9WVhbevHkDDw8Pdt/p06ehrKwMV1dXqTEQQsjnyjT86AcZp+Bbrw8yDiGEEEII+fRohTD5bPTo0QNBQUEICgqChoYGdHR0EBERAYZh2Dbbtm2Do6Mj1NTUoKenhzFjxuDx48cSx0xKSoKmpiaOHDkCa2trKCsrY/jw4Xj9+jW2bNkCU1NTtGjRAtOmTUNVVRXbr245g9rVmkOHDgWPx+Os3ly7di0sLCzA5/NhbW2Nbdu2scf8/f0xYMAATjyVlZVo2bKl2ISULOqXjKgtmZCamgpHR0c2UZWfn8/pJy1Ocf744w94e3tDU1MTWlpaGDx4MKeMQXV1NaKiomBoaMiuXD1+/Dh7/Msvv0RQUBBnzCdPnoDP5yM1NVXm8z179iw6duwIJSUlODo64uDBgxJLZrx69Qrq6urYu3cvZ//BgwehoqKCly9fAgD+/PNPjB49GlpaWlBRUYGjoyPOnTvHtj906BA6deoEJSUlmJubY9GiRXj79i17nMfjYe3atRg0aBBUVFTYlbhNvcb1HTt2DAKBAF27duXsX7VqFaZMmQJzc3Ox/fLy8rB27VocOnQIgwYNgpmZGTp37ozevXtLnIthGMTHx2P+/PkYPHgwOnTogK1bt+Lhw4cNVsLXjgvUfBYSEhLg4+MDDQ0NsWOfPXsWbm5uGDNmDExNTdGnTx+MHj0a58+flxhP3759IRKJ0KdPH5ibm2PQoEEIDQ3F/v37Oe0GDhyIixcv4u7duxLHkmTRokWYMWNGk8pjGBsbY/369Zg8eTJevnyJyZMnY8OGDTAyMmry/IQQQgghhBBCyOeCEsLks7JlyxYoKCjg/PnzSEhIwIoVK7Bp0yb2eGVlJaKjo3H16lUcPHgQBQUF8PPzkzrm69evsWrVKqSkpOD48eNIT0/H0KFDcezYMRw7dgzbtm3D+vXrGyQSa124cAEAIBKJUFRUxG4fOHAAwcHBmDlzJm7cuIFvvvkG48ePR1paGgAgICAAx48fR1FRETvWkSNH8Pr1a4wcOfJ9LlMD8+bNQ1xcHC5evAgFBQX4+/uzxxqLs77Kykp4enpCTU0NmZmZyMrKgqqqKvr27cv+hD8hIQFxcXGIjY3FtWvX4OnpiUGDBrElBwICApCcnIzy8nJ23O3bt6N169b48ssvZTqnkpISDBw4EO3bt8fly5cRHR2NsLAwie1VVFQwatQoiEQizn6RSIThw4dDTU0NpaWlcHd3x4MHD3D48GFcvXoVs2fPZuvSZmZmwsfHB8HBwcjNzcX69euRlJTUoPxCZGQkhg4diuvXr8Pf37/J11iczMxMdO7cWeb2tX788UeYm5vjyJEjMDMzg6mpKQICAjgrhGu/SEhPTwcA3Lt3D48ePeKsfNXQ0ECXLl2QnZ3N7quursaRI0cwePBgmeNxdXXFpUuX2ATw77//jmPHjqF///5sm6SkJPB4PKnjFBcXQ0tLi7PP2NgYrVq1QmZmpszxvA8jIyPs2bMHGhoauHz5MjQ1NbF7926JCeHy8nKUlJRwXoQQQgghhBBCyOeGSkaQz4qRkRFWrlwJHo8Ha2trXL9+HStXrkRgYCAAcBKd5ubmWLVqFZycnFBaWsr5qXddlZWV7OpNABg+fDi2bduGv/76C6qqqrC1tUXPnj2RlpYmNlFbWz5CU1OT8zP02NhY+Pn5YfLkyQCAkJAQ/Prrr4iNjUXPnj3h6urKrhSdPXs2gJrk5IgRIyTG+q6WLFkCd3d3AEB4eDi8vLxQVlYGJSWlRuOsb9euXaiursamTZvYpJ1IJIKmpibS09PRp08fxMbGIiwsDKNGjQIALFu2DGlpaYiPj8fq1asxbNgwBAUF4dChQ/D29gZQkwSsLR0gi+TkZPB4PGzcuBFKSkqwtbXFgwcP2HtBnICAALi6uqKoqAj6+vp4/Pgxjh07htOnT7NjPnnyBBcuXGCTjW3atGH7L1q0COHh4fD19QVQc49FR0dj9uzZWLhwIdtuzP9j797jej7/x48/3umgc4pSKaWTnMqhhuSY5VDE5jwV5TDnM82Qc0zmNOxghTE7YY2xYTJimEOMNEwycho6aJJ6//7w6/X11kE5xT7P++32vt16vV7Xdb2e19UOt55dPa/evenXr59y3atXrzKtcVEuXryIjY1Nqdo+6q+//uLixYt88803rFmzhry8PEaPHs3bb7/NL7/8AoCOjo6yQx7g6tWrAFhZWWmMZWVlpTwD+O233wB44403Sh1P7969uXnzJs2aNUOtVvPgwQMGDx7Me++9p7QxNTXFzc2t2DHOnTvH0qVLNcpFFLCxseHixYuljudZXL58mbFjx1KpUiUaNGjA7du36dmzJ9HR0dja2hZqP3fuXKZPn/5SYhNCCCGEEEIIIZ6W7BAWr5TGjRtrJAybNGnC2bNnlXIOR44cITAwEHt7e4yNjZUkaGpqarFjGhgYKMlgeJj0cnBw0EjKWllZlVh6oihJSUn4+Pho3PPx8SEpKUm5Dg8PV3asXrt2jW3btmkktR81Z84cjIyMlE9Jc3pcvXr1lK+tra0BlPmUJs5HJSYmcu7cOYyNjZVYzM3NuXfvHufPnycjI4MrV66UOGbFihXp27cvn3/+OQBHjx7ljz/+KHY39+DBgzXmDpCcnEy9evU06tl6e3uXuA7e3t7Url2b1atXAw93JVevXp3mzZsDcPz4cerXr19o5+mjc58xY4ZGLAMGDCAtLY3s7GylXaNGjTT6lXWNi/Lvv/9qzLW08vPzycnJYc2aNfj6+tKyZUtWrVrF7t27ldIhtra2nDlz5onr97jvv/+egIAAtLRK/7+K+Ph45syZw/Llyzl69CgbN25k69atzJw5U2nTpUsXzpw5U2T/y5cv065dO7p161Zk8l9fX1/je/EipaSkEB4ezooVKzA2NmbFihWEh4drlE95VEREBOnp6crn0qVLLyVOIYQQQgghhBCiLGSHsHht3L17F39/f/z9/Vm3bh1VqlQhNTUVf39/pZRBUR4/8EulUhV5r6BswPMUHBzMpEmTOHDgAPv378fR0RFfX98i2w4ePFjZTQuUabfoo/MpSKg/7XyysrJo2LAh69atK/SsLIfthYeH4+npyd9//01MTAytW7emevXqRbadMWMG48aNe6p4i3rvRx99xKRJk4iJiaFfv37Kmujr65fYNysri+nTp9O1a9dCzx5N1hoaGj6XWB9VuXJlbt++XeZ+1tbWaGtr4+rqqtxzd3cHHv6ipKiduAU73a9du6b8AqHg2tPTU7mOi4sjKiqqTPFMmTKFvn37Eh4eDkDdunW5e/cuAwcOZPLkySUml69cuaLsrv/kk0+KbHPr1q2Xdujj40l+QKPMxuP09PTQ09N7kSEJIYQQQgghhBDPTHYIi1fKo4d7wcM/WXdxcaFChQqcOXOGf/75h6ioKHx9falZs2aZd/U+LR0dHY1D5+Bh0i0hIUHjXkJCArVq1VKuLSwsCAoKIiYmhtjYWI0yA48zNzfH2dlZ+WhrP5/f15Qmzkc1aNCAs2fPYmlpqRGPs7MzpqammJiYYGNj88Qx69atS6NGjfj0009Zv359sTujgULvApSSIY/WIS6o31ySd955h4sXL7JkyRJOnz6tlH+Ahzupjx8/rlFf9/G5JycnF5q3s7NziYnMsq5xUerXr8/p06dL3b6Aj48PDx480Dho7c8//wQoNgHv6OhI1apVNQ74y8jI4ODBgzRp0gSAs2fPcvHixRIPpytKdnZ2obWqUKECgMYBkY+7fPkyLVu2pGHDhsTExBS53gW71OvXr1+mmJ6HgvrLQgghhBBCCCHE6052CItXSmpqKmPGjGHQoEEcPXqUpUuXEh0dDTw8UEpXV5elS5cyePBg/vjjD40/Q3+RHBwc2LVrFz4+Pujp6VGpUiXGjx9P9+7dqV+/Pn5+fvzwww9s3LhRqVdbIDw8nICAAPLy8jSSky9LaeMs0KdPHz744AM6d+7MjBkzqFatGhcvXmTjxo1MmDCBatWqMX78eKZNm4aTkxOenp7ExMRw/PjxQruKw8PDGTZsGIaGhnTp0qVMcffu3ZvJkyczcOBAJk2aRGpqqlJTtqQ6xJUqVaJr166MHz+eN998k2rVqinPevXqxZw5cwgKCmLu3LlYW1tz7NgxbGxsaNKkCVOnTiUgIAB7e3vefvtttLS0SExM5I8//mDWrFnFvrOsa1wUf39/IiIiuH37NpUqVVLunzt3jqysLK5evcq///7L8ePHAahVqxa6urr4+fnRoEED+vfvz6JFi8jPz2fo0KG0bdtW2TV8+fJl2rRpw5o1a/D29kalUjFq1ChmzZqFi4sLjo6OTJkyBRsbG4KCgoCH5SL8/PyUusMFCt6flZXFjRs3OH78OLq6ukryOzAwkIULF1K/fn3eeOMNzp07x5QpUwgMDFQSw5s2bSIiIkIpG1GQDK5evToLFizgxo0byvserdv922+/oaenpyStyyI1NZVbt26RmppKXl6eMg9nZ+fnXtNbCCFeZSlRHcs7BCGEEEIIUd7UQrwiWrRooR4yZIh68ODBahMTE3WlSpXU7733njo/P19ps379erWDg4NaT09P3aRJE3VcXJwaUB87dkytVqvVu3fvVgPq27dvq9VqtTomJkZtamqq8Z5p06apPTw8NO6FhISoO3furFxXr15d/eGHHyrXcXFxamdnZ7W2tra6evXqyv3ly5era9SoodbR0VG7urqq16xZU2he+fn56urVq6s7dOhQ5JxHjhxZ4roA6k2bNqnVarX6woULJc5XrVarjx07pgbUFy5cKHWcj75DrVar09LS1MHBwerKlSur9fT01DVq1FAPGDBAnZ6erlar1eq8vDx1ZGSk2tbWVq2jo6P28PBQb9u2rVDsmZmZagMDA/WQIUMKPXt8jYuSkJCgrlevnlpXV1fdsGFD9fr169WA+syZM8XOX61Wq3ft2qUG1F9//XWhMVNSUtRvvfWW2sTERG1gYKBu1KiR+uDBg8rz7du3q5s2barW19dXm5iYqL29vdWffPJJsWtVoKxrXBRvb2/1ypUrNe61aNFCDRT6PPr9vXz5srpr165qIyMjtZWVlTo0NFT9zz//KM8L/rnZvXu3ci8/P189ZcoUtZWVlVpPT0/dpk0bdXJysvK8WbNm6k8//bRQjEXF8ui/E7m5uerIyEi1k5OTumLFimo7Ozv1kCFDNL5HMTEx6kf/91NwXdTnUQMHDlQPGjSoxDV8/N/lR+8XNf6ja6JWF/3fh6eVnp6uBpR/b4QQQgghhBBCiBeptD+HqtTqEv6GV4iXqGXLlnh6erJo0aLyDuW5ysrKwtbWlpiYmCJr0/6XpaSk4OTkxOHDh2nQoMEzj7du3Tr69etHenp6ifWA165dy+jRo7ly5Qq6urrP/N6XZevWrYwfP54//vijTAe5PW83b97E2tqav//+Gysrq3KL41E3b97Ezc2N33//HUdHx2LbhYaGcufOHTZv3vxU74mMjGTz5s3KDuJnkZGRgampKenp6ZiYmDzzeEIIIYQQQgghRElK+3OolIwQ4gXJz8/n5s2bREdHY2ZmRqdOnco7pJcmNzeXf/75h/fff5/GjRs/dTJ4zZo11KhRA1tbWxITE5k4cSLdu3cvNhmcnZ1NWloaUVFRDBo06LVKBgN07NiRs2fPcvnyZezs7Motjlu3brFw4cJXJhkMD3+5sHz58hKTwQW2bNmCkZERGzZsICAgoFTjp6amUqtWLe7fv1+m2s9CCCGEEEIIIcTrRhLCQrwgqampODo6Uq1aNWJjY5/bIXGvg4SEBFq1aoWrqyvffvvtU49z9epVpk6dytWrV7G2tqZbt27Mnj272Pbz589n9uzZNG/enIiIiKd+b3kaNWpUeYeAq6urUn/4VdGoUSMaNWr0xHbz58/n/fffB8Da2rrU49vY2Ci7gvX09J4qRiGEEEIIIYQQ4nUgJSOEEOI1o1Kp2LRpk3IA3NN41tIKpfU0JRied/mY57FeT0NKRgghhBBCCCGEeJlK+3No+RWpFEKI11RoaCgqlYqoqCiN+5s3b0alUpVTVGWzePFiYmNjleuWLVu+EruTX4S0tDTat29f3mEIIYQQQgghhBCvhP+dv2EXQojnqGLFisybN49BgwZRqVKl8g6nzExNTcs7hJematWq5R2CEEK8MhwmbS3vEEQZpUR1LO8QhBBCCPEfIzuEhRDiKfj5+VG1alXmzp1b6j6RkZF4enry8ccfY2dnh4GBAd27dyc9PV1pc/jwYdq2bUvlypUxNTWlRYsWHD16tNgxU1JSUKlUfP311/j6+qKvr4+Xlxd//vknhw8fplGjRhgZGdG+fXtu3Lih9AsNDVVKKISGhrJnzx4WL16MSqVCpVKRkpICwJ49e/D29kZPTw9ra2smTZrEgwcPgIeH/llYWJCTk6MRU1BQEH379i0y3gcPHjBixAjMzMywsLBg4sSJhISEFFvOYcaMGdSpU6fQfU9PT6ZMmaJcf/7559SuXVuJc9iwYcozlUqllMYoWK+NGzfSqlUrDAwM8PDw4MCBAxrj79u3T1lPOzs7RowYwd27d4uMUQghhBBCCCGEeJ1IQlgIIZ5ChQoVmDNnDkuXLuXvv/8udb9z587x9ddf88MPP7B9+3aOHTvGkCFDlOeZmZmEhISwb98+fvvtN1xcXOjQoQOZmZkljjtt2jTef/99jh49ira2Nr1792bChAksXryYvXv3cu7cOaZOnVpk38WLF9OkSRMGDBhAWloaaWlp2NnZcfnyZTp06ICXlxeJiYmsWLGCVatWMWvWLAC6detGXl4ecXFxyljXr19n69at9O/fv8h3zZs3j3Xr1hETE0NCQgIZGRkl1jHu378/SUlJHD58WLl37NgxTpw4Qb9+/QBYsWIFQ4cOZeDAgZw8eZK4uDicnZ1LXK/Jkyczbtw4jh8/jqurK7169VIS3efPn6ddu3a89dZbnDhxgq+++op9+/ZpJJmLkpOTQ0ZGhsZHCCGEEEIIIYR41UjJCCGEeEpdunTB09OTadOmsWrVqlL1uXfvHmvWrMHW1haApUuX0rFjR6Kjo6latSqtW7fWaP/JJ59gZmbGnj17CAgIKHbccePG4e/vD8DIkSPp1asXu3btwsfHB4CwsDCNmsGPMjU1RVdXFwMDA43yCsuXL8fOzo5ly5ahUqmoWbMmV65cYeLEiUydOhV9fX169+5NTEwM3bp1A+CLL77A3t6eli1bFvmupUuXEhERQZcuXQBYtmwZP/74Y7HzqlatGv7+/sTExODl5QVATEwMLVq0oEaNGgDMmjWLsWPHMnLkSKVfQduS1qtjx4d/gjt9+nRq167NuXPnqFmzJnPnzqVPnz5KTWUXFxeWLFlCixYtWLFiBRUrVixyzLlz5zJ9+vQS3yuEEEIIIYQQQpQ32SEshBDPYN68eaxevZqkpCSN+0ZGRspn8ODByn17e3slGQzQpEkT8vPzSU5OBuDatWsMGDAAFxcXTE1NMTExISsri9TU1BLjqFevnvK1lZUVAHXr1tW4d/369TLNLSkpiSZNmmgclOfj40NWVpayK3rAgAH8/PPPXL58GYDY2Fjl0L3Hpaenc+3aNby9vZV7FSpUoGHDhiXGMWDAAL788kvu3bvH/fv3Wb9+vbID+fr161y5coU2bdqUaW6Prpe1tbUyFkBiYiKxsbEa30N/f3/y8/O5cOFCsWNGRESQnp6ufC5dulSmmIQQQgghhBBCiJdBdggLIcQzaN68Of7+/kRERBAaGqrcP378uPK1iYlJqccLCQnhn3/+YfHixVSvXh09PT2aNGnC/fv3S+yno6OjfF2QjH38Xn5+fqnjKK369evj4eHBmjVrePPNNzl16hRbtz7fA4sCAwPR09Nj06ZN6Orqkpuby9tvvw2Avr7+U41Z1HoVrE9WVhaDBg1ixIgRhfrZ29sXO6aenh56enpPFY8QQgghhBBCCPGySEJYCCGeUVRUFJ6enri5uSn3iqthm5qaypUrV7CxsQHgt99+Q0tLS+mbkJDA8uXL6dChAwCXLl3i5s2bL3gGoKurS15ensY9d3d3vvvuO9RqtZI0TUhIwNjYmGrVqintwsPDWbRoEZcvX8bPzw87O7si32FqaoqVlRWHDx+mefPmAOTl5XH06FE8PT2LjU1bW5uQkBBiYmLQ1dWlZ8+eSiLY2NgYBwcHdu3aRatWrZ5lCRQNGjTg9OnTT6xDLIQQQgghhBBCvI4kISyEEM+obt269OnThyVLljyxbcWKFQkJCWHBggVkZGQwYsQIunfvrtTudXFxYe3atTRq1IiMjAzGjx//1Ltgy8LBwYGDBw+SkpKCkZER5ubmDBkyhEWLFjF8+HCGDRtGcnIy06ZNY8yYMWhp/V/Fod69ezNu3Dg+/fRT1qxZU+J7hg8fzty5c3F2dqZmzZosXbqU27dvF1li4lHh4eG4u7sDD5PSj4qMjGTw4MFYWlrSvn17MjMzSUhIYPjw4U+1FhMnTqRx48YMGzaM8PBwDA0NOX36NDt27GDZsmVPNaYQQrwqUqI6lncIQgghhBCinEkNYSGEeA5mzJhRqpIMzs7OdO3alQ4dOvDmm29Sr149li9frjxftWoVt2/fpkGDBvTt25cRI0ZgaWn5IkMHHh6yVqFCBWrVqkWVKlVITU3F1taWH3/8kUOHDuHh4cHgwYMJCwvj/fff1+hramrKW2+9hZGREUFBQSW+Z+LEifTq1Yvg4GCaNGmi1Oct7qC2Ai4uLjRt2pSaNWvyxhtvaDwLCQlh0aJFLF++nNq1axMQEMDZs2efah3gYX3hPXv28Oeff+Lr60v9+vWZOnWqsqtbCCGEEEIIIYR4nanUarW6vIMQQoj/BZGRkWzevFmjvvB/RZs2bahdu3apdkk/Kj8/H3d3d7p3787MmTOLbadWq3FxcWHIkCGMGTPmWcN9KTIyMjA1NSU9Pb1MdaSFEEIIIYQQQoinUdqfQ6VkhBBCiKd2+/Zt4uPjiY+P19jpXJyLFy/y888/06JFC3Jycli2bBkXLlygd+/exfa5ceMGGzZs4OrVq/Tr1+95hi+EEEIIIYQQQvzPkZIR4rXQsmVLRo0apVw7ODiwaNGiF/qOlyE0NPSJf2L/+FxVKhWbN29+rnG8iPV8kuex3ikpKahUqtdix62DgwO//fZbiW3u37+Ps7Mz+/fvf0lRPbv69esTGhrKvHnzNA7VK46WlhaxsbF4eXnh4+PDyZMn2blzp1IfuCiWlpZMmzYNXV1ddHV1Sxw/MjISlUqFSqUq8z/TBf3MzMzK1E8IIYQQQgghhHidSEJYvJYOHz7MwIEDyzuMcpGWlkb79u3LOwzxFNq1a1di8nrlypU4OjrStGlT5d7s2bNp2rQpBgYGxSYqDx8+TJs2bTAzM6NSpUr4+/uTmJhYYixz587Fy8sLY2NjLC0tCQoKIjk5uci2jo6O7Ny5k3v37hEaGkrdunXR1tYmKCiIlJQU0tPTGTdunNJ+3bp1eHh4YGBggLW1Nf379+eff/4BwM7OjoSEBNLT08nIyGD//v3UqVOH4cOH4+bmhr6+Pvb29owYMYL09HTgYbmIW7du0bp1axYuXFjivABq165NWlqaxn8jPvnkE1q2bImJiQkqlYo7d+4U6peWllZsErlly5ZPfK8QQgghhBBCCPE6kISweC1VqVIFAwOD8g6jXFStWhU9Pb3yDkP8f/fv338u46jVapYtW0ZYWFih8bt168a7775bZL+srCzatWuHvb09Bw8eZN++fRgbG+Pv709ubm6x79uzZw9Dhw7lt99+Y8eOHeTm5vLmm29y9+5djXYnTpzg9u3btGjRgry8PPT19RkxYgR+fn5FjpuQkEBwcDBhYWGcOnWKb775hkOHDjFgwIBiY7ly5QpXrlxhwYIF/PHHH8TGxrJ9+/ZCa9GvXz9WrFjBgwcPih0LQFtbm6pVq2r8NyI7O5t27drx3nvvFduvatWqmJqaKtd//vknGzZs0Ghz9OhRtmzZUuL7hRDiVeIwaavGRwghhBBCCEkIi9dSUWUUPvvsM7p06YKBgQEuLi7ExcVp9NmzZw/e3t7o6elhbW3NpEmTSkws5eTkMG7cOGxtbTE0NOSNN94gPj5eo813331H7dq10dPTw8HBgejoaOXZjBkzqFOnTqFxPT09mTJlytNNHM2SEQUlEzZu3EirVq0wMDDAw8ODAwcOlDrOoty5c4fw8HCqVKmCiYkJrVu3LrTjdMWKFTg5OaGrq4ubmxtr165VnvXv35+AgACN9rm5uVhaWrJq1apSz/XMmTM0a9aMihUrUqtWLXbu3FlsyQy1Wo2zszMLFizQuH/8+HFUKhXnzp1T5jZo0CCsrKyoWLEiderU0Ujw7du3D19fX/T19bGzs2PEiBEaSVIHBwdmzpxJcHAwJiYmyi7Usq7x444cOcL58+fp2LGjxv3p06czevRo6tatW+wa3bp1ixkzZuDm5kbt2rWZNm0a165d4+LFi8W+b/v27YSGhlK7dm08PDyIjY0lNTWVI0eOaLT7/vvvadeuHTo6OhgaGrJixQoGDBhA1apVixz3wIEDODg4MGLECBwdHWnWrBmDBg3i0KFDxcZSp04dvvvuOwIDA3FycqJ169bMnj2bH374QePf0bZt23Lr1i327NlT7FjFGTVqFJMmTaJx48al7lO5cmV2795N9+7duXPnDlOnTiUiIoIaNWqU+f1CCCGEEEIIIcSrQhLC4j9j+vTpdO/enRMnTtChQwf69OnDrVu3ALh8+TIdOnTAy8uLxMREVqxYwapVq5g1a1ax4w0bNowDBw6wYcMGTpw4Qbdu3WjXrh1nz54FHibwunfvTs+ePTl58iSRkZFMmTKF2NhY4GFSNCkpicOHDytjHjt2jBMnTjz3g7EmT57MuHHjOH78OK6urvTq1UtJpD0pzqJ069aN69evs23bNo4cOUKDBg1o06aNsp6bNm1i5MiRjB07lj/++INBgwbRr18/du/eDUB4eDjbt28nLS1NGXPLli1kZ2fTo0ePUs0pLy+PoKAgDAwMOHjwIJ988gmTJ08utr1KpaJ///7ExMRo3I+JiaF58+Y4OzuTn59P+/btSUhI4IsvvuD06dNERUVRoUIFAM6fP0+7du146623OHHiBF999RX79u1j2LBhGmMuWLAADw8Pjh07xpQpU55qjR+3d+9eXF1dMTY2LnUfADc3NywsLFi1ahX379/n33//ZdWqVbi7u+Pg4KCxPiXFU1CewdzcXON+XFwcnTt3LnU8TZo04dKlS/z444+o1WquXbvGt99+S4cOHZQ28fHxqFQqUlJSSozHxMQEbe3/O/tUV1cXT09P9u7dW+p4noW5uTkff/wxfn5+JCYmcv78eX766Sdq1ar1Ut4vhBBCCCGEEEK8CJIQFv8ZoaGh9OrVC2dnZ+bMmUNWVpayK3H58uXY2dmxbNkyatasSVBQENOnTyc6Opr8/PxCY6WmphITE8M333yDr68vTk5OjBs3jmbNmikJx4ULF9KmTRumTJmCq6sroaGhDBs2jA8++ACAatWq4e/vr5GgjImJoUWLFs99h+G4cePo2LEjrq6uTJ8+nYsXLyo7Yp8U5+P27dvHoUOH+Oabb2jUqBEuLi4sWLAAMzMzvv32W+BhQjQ0NJQhQ4bg6urKmDFj6Nq1q7I7t2nTpoV2DcfExNCtWzeMjIxKNacdO3Zw/vx51qxZg4eHB82aNWP27Nkl9gkNDSU5OVn5vufm5rJ+/Xr69+8PwM6dOzl06BAbN26kbdu21KhRg4CAAKUm89y5c+nTpw+jRo3CxcWFpk2bsmTJEtasWcO9e/eU97Ru3ZqxY8fi5OSEk5NTmde4KBcvXsTGxqbU7QsYGxsTHx/PF198gb6+PkZGRmzfvp1t27ZpJFPd3Nw0yiE8Kj8/n1GjRuHj46Oxq/3y5cucOHGiTDWrfXx8WLduHT169EBXV1cpw/DRRx8pbQwMDHBzc0NHR6fIMW7evMnMmTOLrBNuY2NT4s7n5+n27dsMGTKEnTt34uHhgZOTE+3bty+21nJOTg4ZGRkaHyGEEEIIIYQQ4lUjCWHxn1GvXj3la0NDQ0xMTLh+/ToASUlJNGnSBJVKpbTx8fEhKyuLv//+u9BYJ0+eJC8vD1dXV4yMjJTPnj17OH/+vDKmj4+PRj8fHx/Onj1LXl4eAAMGDODLL7/k3r173L9/XyM5+bh169ZpvKssuyAfnbu1tTWAxtyfFOejEhMTycrKwsLCQiOeCxcuPHHuSUlJynV4eLiSDL927Rrbtm0rdu5z5szReFdqairJycnY2dlplCbw9vYucR1sbGzo2LEjn3/+OQA//PADOTk5dOvWDXhYPqJatWq4uroW2T8xMZHY2FiNWPz9/cnPz+fChQtKu0aNGmn0K+saF+Xff/+lYsWKpWr7eL+wsDB8fHz47bffSEhIoE6dOnTs2JF///1XaXfmzBm6dOlS5BhDhw7ljz/+KFQvNy4ujmbNmhV7mF1RTp8+zciRI5k6dSpHjhxh+/btpKSkMHjwYKWNt7c3Z86cwdbWtlD/jIwMOnbsSK1atYiMjCz0XF9fn+zs7FLH8yyuX7+Or68vX3/9NWZmZsyYMYPZs2fz559/Ftl+7ty5mJqaKh87O7uXEqcQQgghhBBCCFEW2k9uIsTr4fHdhiqVqsjdv6WRlZVFhQoVOHLkiFJOoEBpd7gCBAYGoqenx6ZNm9DV1SU3N5e33367yLadOnXijTfeUK6LSpYV59G5FyS9n2Xu1tbWheolA2VKDAYHBzNp0iQOHDjA/v37cXR0xNfXt8i2gwcPpnv37sr10+yULRAeHk7fvn358MMPiYmJoUePHsrhYvr6+iX2zcrKYtCgQYwYMaLQM3t7e+VrQ0PDp46vOJUrV+bkyZNl7rd+/XpSUlI4cOAAWlpayr1KlSrx/fff07NnzxL7Dxs2jC1btvDrr79SrVo1jWdxcXF06tSpTPHMnTsXHx8fxo8fDzz8ZYWhoSG+vr7MmjVL+YVFUTIzM2nXrh3GxsZs2rSpyB3Et27dwsnJqUwxPS03Nzfc3Nw07jVo0IAGDRoU2T4iIoIxY8Yo1xkZGZIUFkIIIYQQQgjxypGEsPif4O7uznfffYdarVYSpgkJCRgbGxdKggHUr1+fvLw8ZYdgcWMmJCRo3EtISMDV1VVJImtraxMSEkJMTAy6urr07Nmz2KSksbFxmevHlkZp4nxUgwYNuHr1Ktra2ho1aIsaMyQkRGPMR2urWlhYEBQURExMDAcOHCixbrK5uXmh2rVubm5cunSJa9euYWVlBaBRj7k4HTp0UA4/2759O7/++qvyrF69evz999/8+eefRe4SbtCgAadPn8bZ2fmJ73lUWde4KPXr12fFihUa/4yWRnZ2NlpaWhp9Cq5L+qWAWq1m+PDhbNq0ifj4eBwdHTWeZ2VlsXv3blasWFHqWAriebRUBaCsgVqtLrZfRkYG/v7+6OnpERcXV+xu6T/++KPYX6q8SEX9guRxenp66OnpvfhghBBCCCGEEEKIZyAJYfE/YciQISxatIjhw4czbNgwkpOTmTZtGmPGjFF2VT7K1dWVPn36EBwcTHR0NPXr1+fGjRvs2rWLevXq0bFjR8aOHYuXlxczZ86kR48eHDhwgGXLlrF8+XKNscLDw3F3dwcolDR8GUobZwE/Pz+aNGlCUFAQ8+fPx9XVlStXrrB161a6dOlCo0aNGD9+PN27d6d+/fr4+fnxww8/sHHjRnbu3KkxVnh4OAEBAeTl5Wkkj0ujbdu2ODk5ERISwvz588nMzOT9998HKDFhWqFCBUJDQ4mIiMDFxYUmTZooz1q0aEHz5s156623WLhwIc7Ozpw5cwaVSkW7du2YOHEijRs3ZtiwYYSHh2NoaMjp06fZsWMHy5YtK/adZV3jorRq1YqsrCxOnTqlUcc3NTWVW7dukZqaSl5eHsePHwfA2dkZIyMj2rZty/jx4xk6dCjDhw8nPz+fqKgotLW1adWqlTJOzZo1mTt3rlI2YujQoaxfv57vv/8eY2Njrl69CoCpqSn6+vps374dV1fXQr8UOH36NPfv3+fWrVtkZmYq8Xh6egIPd8UPGDCAFStW4O/vT1paGqNGjcLb21vZ+X3o0CGCg4PZtWsXtra2ZGRk8Oabb5Kdnc0XX3yhUX+3SpUqSkI5JSWFy5cv4+fnV+p1LXD16lWuXr2q1NY+efIkxsbG2NvbF/plhBBC/JekRHUs7xCEEEIIIcQrRmoIi/8Jtra2/Pjjjxw6dAgPDw8GDx5MWFiYkmAsSkxMDMHBwYwdOxY3NzeCgoI4fPiwUjqgQYMGfP3112zYsIE6deowdepUZsyYQWhoqMY4BYeT1axZU6MkxMtS2jgLqFQqfvzxR5o3b06/fv1wdXWlZ8+eXLx4UdmpGxQUxOLFi1mwYAG1a9fm448/JiYmhpYtW2qM5efnh7W1Nf7+/mUuA1GhQgU2b95MVlYWXl5ehIeHM3nyZIAn1toNCwvj/v37Re5K/u677/Dy8qJXr17UqlWLCRMmKHV+69Wrx549e/jzzz/x9fWlfv36TJ069Ymxl3WNi2JhYUGXLl1Yt26dxv2pU6dSv359pk2bRlZWFvXr16d+/fr8/vvvwMNE7w8//MCJEydo0qQJvr6+XLlyhe3bt2uUZ0hOTiY9PV25XrFiBenp6bRs2RJra2vl89VXXwHw/fffF1kuokOHDtSvX58ffviB+Ph4JZ4CoaGhLFy4kGXLllGnTh26deuGm5sbGzduVNpkZ2eTnJxMbm4uAEePHuXgwYOcPHkSZ2dnjXguXbqk9Pvyyy958803qV69eqnXtcDKlSupX78+AwYMAKB58+bUr1+fuLi4Mo8lhBBCCCGEEEK8zlTqkv6GVwjxzNRqNS4uLgwZMkSjvuj/gqysLGxtbYmJiaFr167PPF5CQgLNmjXj3LlzJdaR3bt3L23atOHSpUtKEvt1cOLECdq2bcv58+fLVKv6eXvw4AFWVlZs27btiQf5vSz379/HxcWF9evXFzrA71GRkZFs3rxZ2blcVrGxsYwaNYo7d+48XaCPyMjIwNTUlPT0dExMTJ55PCGEEEIIIYQQoiSl/TlUSkYI8QLduHGDDRs2cPXq1RJr6P7X5Ofnc/PmTaKjozEzMyvzwWQFNm3ahJGRES4uLpw7d46RI0fi4+NTbDI4JyeHGzduEBkZSbdu3V6rZDA83KE8b948Lly4QN26dcstjlu3bjF69Gi8vLzKLYbHpaam8t5775WYDC5w8uRJjIyMmD9/PkOGDCn1O4yMjHjw4METd6ALIYQQQgghhBCvM9khLMQLpFKpqFy5MosXL6Z3797lHc5Lk5KSgqOjI9WqVSM2NpY2bdo81Thr1qxh1qxZpKamUrlyZfz8/IiOjsbCwqLI9rGxsYSFheHp6UlcXBy2trbPMg3xGrp16xa3bt0CHtYfNjU1LXXfgvrCFSpUKHTI3tOQHcJCCCGEEEIIIV6m0v4cKglhIYQQtGzZEk9PTxYtWlQu7w8NDeXOnTts3rz5qcd4nuUengdJCAshhBBCCCGEeJlK+3OoHConhBDif5aDg0O5JcGFEEIIIYQQQojyIDWEhRBCCCGE+B/hMGlroXspUR3LIRIhhBBCCFFeZIewEEII4OFhgBMmTMDc3JyqVasSGRkJQP/+/QkICNBom5ubi6WlJatWrQIeHug3YsQILC0tqVixIs2aNePw4cMafU6dOkVAQAAmJiYYGxvj6+vL+fPnNdosWLAAa2trLCwsGDp0KLm5ucqz27dvExwcTKVKlTAwMKB9+/acPXu22PmcP3+ezp07Y2VlhZGREV5eXuzcuVN53rJlSy5evMjo0aNRqVSoVCrl2b59+/D19UVfXx87OztGjBjB3bt3y7agQgghhBBCCCHEK0gSwkIIIQBYvXo1hoaGHDx4kPnz5zNjxgx27NhBeHg427dvJy0tTWm7ZcsWsrOz6dGjBwATJkzgu+++Y/Xq1Rw9ehRnZ2f8/f2VA94uX75M8+bN0dPT45dffuHIkSP079+fBw8eKGPu3r2b8+fPs3v3blavXk1sbCyxsbHK89DQUH7//Xfi4uI4cOAAarWaDh06aCSNH5WVlUWHDh3YtWsXx44do127dgQGBpKamgrAxo0bqVatGjNmzCAtLU2Z3/nz52nXrh1vvfUWJ06c4KuvvmLfvn0MGzbsua63EEIIIYQQQghRHuRQOSGEELRs2ZK8vDz27t2r3PP29qZ169ZERUVRu3ZtQkJCmDBhAgCdOnXCwsKCmJgY7t69S6VKlYiNjaV3797Awx3EDg4OjBo1ivHjx/Pee++xYcMGkpOT0dHRKfT+0NBQ4uPjOX/+PBUqVACge/fuaGlpsWHDBs6ePYurqysJCQk0bdoUgH/++Qc7OztWr15Nt27dSnWoXJ06dRg8eLCS3C2IcdSoUUqb8PBwKlSowMcff6zc27dvHy1atODu3btUrFixyLFzcnLIyclRrjMyMrCzs5ND5YQQrxQpGSGEEEII8d8lh8oJIYQok3r16mlcW1tbc/36deBhkjQmJgaAa9eusW3bNvr37w883FGbm5uLj4+P0ldHRwdvb2+SkpIAOH78OL6+vkUmgwvUrl1bSQY//v6kpCS0tbV54403lOcWFha4ubkp73hcVlYW48aNw93dHTMzM4yMjEhKSlJ2CBcnMTGR2NhYjIyMlI+/vz/5+flcuHCh2H5z587F1NRU+djZ2ZX4HiGEEEIIIYQQojzIoXJCCCEACiVrVSoV+fn5AAQHBzNp0iQOHDjA/v37cXR0xNfXt9Rj6+vrP9P7n8a4cePYsWMHCxYswNnZGX19fd5++23u379fYr+srCwGDRrEiBEjCj2zt7cvtl9ERARjxoxRrgt2CAshhBBCCCGEEK8SSQgLIYR4IgsLC4KCgoiJieHAgQP069dPeebk5ISuri4JCQlUr14deFgy4vDhw0ophnr16rF69Wpyc3NL3CVcHHd3dx48eMDBgwc1SkYkJydTq1atIvskJCQQGhpKly5dgIeJ3pSUFI02urq65OXladxr0KABp0+fxtnZuUwx6unpoaenV6Y+QgghhBBCCCHEyyYJYSGEEKUSHh5OQEAAeXl5hISEKPcNDQ159913GT9+PObm5tjb2zN//nyys7MJCwsDYNiwYSxdupSePXsSERGBqakpv/32G97e3ri5uT3x3S4uLnTu3JkBAwbw8ccfY2xszKRJk7C1taVz587F9tm4cSOBgYGoVCqmTJlSaMexg4MDv/76Kz179kRPT4/KlSszceJEGjduzLBhwwgPD8fQ0JDTp0+zY8cOli1b9gwrKIQQ5U/qBQshhBBCCKkhLIQQolT8/PywtrbG398fGxsbjWdRUVG89dZb9O3blwYNGnDu3Dl++uknKlWqBDzcYfzLL7+QlZVFixYtaNiwIZ9++mmZdgvHxMTQsGFDAgICaNKkCWq1mh9//LHYMRYuXEilSpVo2rQpgYGB+Pv706BBA402M2bMICUlBScnJ6pUqQI83M28Z88e/vzzT3x9falfvz5Tp04tNGchhBBCCCGEEOJ1pFKr1eryDkIIIcSrLysrC1tbW2JiYujatWt5h/PKK+3prkIIIYQQQgghxPNQ2p9DpWSEEEKIEuXn53Pz5k2io6MxMzOjU6dO5R2SEEIIIYQQQgghnpIkhIUQQpQoNTUVR0dHqlWrRmxsLNra8r8OIYQQQgghhBDidSU1hIUQohRatmzJqFGjyjuMFy42NhYzMzONew4ODqjVai5dukSbNm0K9QkNDSUoKOjlBPgUipqTEEIIIYQQQgjxv0oSwkIIIV46lUrF5s2bX8q7evTowZ9//vlS3iWEEEIIIYQQQrzq5O9+hRBC/Kfp6+ujr69f3mEIIcQrwWHS1vIOQYhnkhLVsbxDEEIIIV57skNYCCFKKT8/nwkTJmBubk7VqlWJjIxUnt25c4fw8HCqVKmCiYkJrVu3JjExEYAbN25QtWpV5syZo7Tfv38/urq67Nq1C4Dz58/TuXNnrKysMDIywsvLi507d2q838HBgTlz5tC/f3+MjY2xt7fnk08+0Whz8uRJWrdujb6+PhYWFgwcOJCsrCwAfv31V3R0dLh69apGn1GjRuHr61vsvGfNmoWlpSXGxsaEh4czadIkPD09i23v4ODAokWLNO55enoq6+Xg4ABAly5dUKlUynVp12DWrFkEBwdjZGRE9erViYuL48aNG3Tu3BkjIyPq1avH77//rvR5vGREZGQknp6erF27FgcHB0xNTenZsyeZmZlKm/z8fObOnYujoyP6+vp4eHjw7bffFjtnIYQQQgghhBDidSEJYSGEKKXVq1djaGjIwYMHmT9/PjNmzGDHjh0AdOvWjevXr7Nt2zaOHDlCgwYNaNOmDbdu3aJKlSp8/vnnREZG8vvvv5OZmUnfvn0ZNmyYUpM3KyuLDh06sGvXLo4dO0a7du0IDAwkNTVVI4bo6GgaNWrEsWPHGDJkCO+++y7JyckA3L17F39/fypVqsThw4f55ptv2LlzJ8OGDQOgefPm1KhRg7Vr1yrj5ebmsm7dOvr371/knNetW8fs2bOZN28eR44cwd7enhUrVjzTOh4+fBiAmJgY0tLSlOvSrsGHH36Ij48Px44do2PHjvTt25fg4GDeeecdjh49ipOTE8HBwajV6mJjOH/+PJs3b2bLli1s2bKFPXv2EBUVpTyfO3cua9asYeXKlZw6dYrRo0fzzjvvsGfPnmeauxBCCCGEEEIIUd4kISyEEKVUr149pk2bhouLC8HBwTRq1Ihdu3axb98+Dh06xDfffEOjRo1wcXFhwYIFmJmZKbtKO3TowIABA+jTpw+DBw/G0NCQuXPnKmN7eHgwaNAg6tSpg4uLCzNnzsTJyYm4uDiNGDp06MCQIUNwdnZm4sSJVK5cmd27dwOwfv167t27x5o1a6hTpw6tW7dm2bJlrF27lmvXrgEQFhZGTEyMMt4PP/zAvXv36N69e5FzXrp0KWFhYfTr1w9XV1emTp1K3bp1n2kdq1SpAoCZmRlVq1ZVrsuyBoMGDcLFxYWpU6eSkZGBl5cX3bp1w9XVlYkTJ5KUlKTMuSj5+fnExsZSp04dfH196du3r7JbOycnhzlz5vD555/j7+9PjRo1CA0N5Z133uHjjz8udsycnBwyMjI0PkIIIYQQQgghxKtGEsJCCFFK9erV07i2trbm+vXrJCYmkpWVhYWFBUZGRsrnwoULnD9/Xmm/YMECHjx4wDfffMO6devQ09NTnmVlZTFu3Djc3d0xMzPDyMiIpKSkQrtjH41BpVJRtWpVrl+/DkBSUhIeHh4YGhoqbXx8fMjPz1d2EYeGhnLu3Dl+++034GE5he7du2v0eVRycjLe3t4a9x6/fl6eZg2srKwANJLUBfcK1qUoDg4OGBsbK9cF30uAc+fOkZ2dTdu2bTW+n2vWrNH4fj5u7ty5mJqaKh87O7syzF4IIYQQQgghhHg55FA5IYQoJR0dHY1rlUpFfn4+WVlZWFtbEx8fX6jPo7Vrz58/z5UrV8jPzyclJUUjiTlu3Dh27NjBggULcHZ2Rl9fn7fffpv79++XKobSsrS0JDAwkJiYGBwdHdm2bVuRcT8LLS2tQuUacnNzn9jvadZApVIVe6+kdSlpHQtqLm/duhVbW1uNdo8m8R8XERHBmDFjlOuMjAxJCgshhBBCCCGEeOVIQlgIIZ5RgwYNuHr1Ktra2soBaY+7f/8+77zzDj169MDNzY3w8HBOnjyJpaUlAAkJCYSGhtKlSxfgYVIyJSWlTHG4u7sTGxvL3bt3lR2/CQkJaGlp4ebmprQLDw+nV69eVKtWDScnJ3x8fIod083NjcOHDxMcHKzcK6j5W5wqVaqQlpamXGdkZHDhwgWNNjo6OuTl5Wncex5r8DzUqlULPT09UlNTadGiRan76enplZgwFkIIIYQQQgghXgWSEBZCiGfk5+dHkyZNCAoKYv78+bi6unLlyhW2bt1Kly5daNSoEZMnTyY9PZ0lS5ZgZGTEjz/+SP/+/dmyZQsALi4ubNy4kcDAQFQqFVOmTCnTzl+APn36MG3aNEJCQoiMjOTGjRsMHz6cvn37KmUUAPz9/TExMWHWrFnMmDGjxDGHDx/OgAEDaNSoEU2bNuWrr77ixIkT1KhRo9g+rVu3JjY2lsDAQMzMzJg6dSoVKlTQaOPg4MCuXbvw8fFBT0+PSpUqPZc1eB6MjY0ZN24co0ePJj8/n2bNmpGenk5CQgImJiaEhIS89JiEEOJ5SYnqWN4hCCGEEEKIciY1hIUQ4hmpVCp+/PFHmjdvrhy+1rNnTy5evIiVlRXx8fEsWrSItWvXYmJigpaWFmvXrmXv3r2sWLECgIULF1KpUiWaNm1KYGAg/v7+NGjQoExxGBgY8NNPP3Hr1i28vLx4++23adOmDcuWLdNop6WlRWhoKHl5eRo7f4vSp08fIiIiGDduHA0aNODChQuEhoZSsWLFYvtERETQokULAgIC6NixI0FBQTg5OWm0iY6OZseOHdjZ2VG/fv3ntgbPy8yZM5kyZQpz587F3d2ddu3asXXrVhwdHcslHiGEEEIIIYQQ4nlRqR8v9CiEEOI/LywsjBs3bhAXF1fmvm3btqVq1aqsXbv2BUT235GRkYGpqSnp6emYmJiUdzhCCCGEEEIIIf7jSvtzqJSMEEKI/yHp6emcPHmS9evXlyoZnJ2dzcqVK/H396dChQp8+eWX7Ny5kx07dryEaIUQQgghhBBCCPG8SUJYCCH+h3Tu3JlDhw4xePBg2rZt+8T2BeUwZs+ezb1793Bzc+O7777Dz8/vJUQrhBBCCCGEEEKI501qCAshXgkODg4sWrSoXGMIDQ0lKCioXGMoK5VKxebNm0vdPj4+nuzsbD788EPlXsuWLRk1alSR7fX19dm5cyf//PMPd+/e5ejRo3Tt2vUZo35+Hp//mTNnaNy4MRUrVsTT07Pc4hJCCCGEEEIIIV5VkhAWQghRJvHx8ahUKu7cuVPeoRQybdo0DA0NSU5OZteuXaXqExkZKcljIYQQQgghhBD/M6RkhBBCiP+M8+fP07FjR6pXr17eoQghXkEOk7aWdwjlLiWqY3mHIIQQQgghypnsEBZCvHCZmZn06dMHQ0NDrK2t+fDDD0ssU9C/f38CAgI07uXm5mJpacmqVasAyM/PZ/78+Tg7O6Onp4e9vT2zZ89W2p88eZLWrVujr6+PhYUFAwcOJCsrS3mel5fHmDFjMDMzw8LCggkTJqBWqzXemZ+fz9y5c3F0dERfXx8PDw++/fZbjTZ79uzB29sbPT09rK2tmTRpEg8ePABgzZo1GBkZcfbsWaX9kCFDqFmzJtnZ2cyYMYM6deoUmr+npydTpkxRrj///HNq166tvGPYsGEa7W/evEmXLl0wMDDAxcWl0GFxJcVYlLVr19KoUSOMjY2pWrUqvXv35vr16wCkpKTQqlUrACpVqoRKpSI0NLTU6/W45cuX4+LiQsWKFbGysuLtt99WnhVVRsTT05PIyMgix1KpVBw5coQZM2agUqmUdhMnTsTV1RUDAwNq1KjBlClTyM3NBSA2Npbp06eTmJiISqVCpVIRGxsLwJ07dwgPD6dKlSqYmJjQunVrEhMTS5yPEEIIIYQQQgjxqpOEsBDihRszZgwJCQnExcWxY8cO9u7dy9GjR4ttHx4ezvbt20lLS1PubdmyhezsbHr06AFAREQEUVFRTJkyhdOnT7N+/XqsrKwAuHv3Lv7+/lSqVInDhw/zzTffsHPnTo1EanR0NLGxsXz++efs27ePW7dusWnTJo045s6dy5o1a1i5ciWnTp1i9OjRvPPOO+zZsweAy5cv06FDB7y8vEhMTGTFihWsWrWKWbNmARAcHEyHDh3o06cPDx48YOvWrXz22WesW7cOAwMD+vfvT1JSEocPH1beeezYMU6cOEG/fv0AWLFiBUOHDmXgwIGcPHmSuLg4nJ2dNeKcPn063bt358SJE8r7bt26VaoYi5Kbm8vMmTNJTExk8+bNpKSkKElfOzs7vvvuOwCSk5NJS0tj8eLFpVqvx/3++++MGDGCGTNmkJyczPbt22nevHmxcT1JWloatWvXZuzYsaSlpTFu3DgAjI2NiY2N5fTp0yxevJhPP/1UqaHco0cPxo4dS+3atUlLSyMtLU35Z6xbt25cv36dbdu2ceTIERo0aECbNm2UtRVCCCGEEEIIIV5HUjJCCPFCZWZmsnr1atavX0+bNm0AiImJwcbGptg+TZs2xc3NjbVr1zJhwgSlT7du3TAyMiIzM5PFixezbNkyQkJCAHBycqJZs2YArF+/nnv37rFmzRoMDQ0BWLZsGYGBgcybNw8rKysWLVpERESEckDaypUr+emnn5QYcnJymDNnDjt37qRJkyYA1KhRg3379vHxxx/TokULli9fjp2dHcuWLUOlUlGzZk2uXLnCxIkTmTp1KlpaWnz88cfUq1ePESNGsHHjRiIjI2nYsCEA1apVw9/fn5iYGLy8vJR5tmjRgho1agAwa9Ysxo4dy8iRI5XYCtoWCA0NpVevXgDMmTOHJUuWcOjQIdq1a1eqGB/Xv39/5esaNWqwZMkSvLy8yMrKwsjICHNzcwAsLS0xMzMr9Xo9LjU1FUNDQwICAjA2NqZ69erUr1+/2H8unqRq1apoa2tjZGRE1apVlfvvv/++8rWDgwPjxo1jw4YNTJgwAX19fYyMjNDW1tbos2/fPg4dOsT169fR09MDYMGCBWzevJlvv/2WgQMHFnp/Tk4OOTk5ynVGRsZTz0UIIYQQQgghhHhRZIewEOKF+uuvv8jNzcXb21u5Z2pqipubW4n9wsPDiYmJAeDatWts27ZNSVQmJSWRk5OjJJgfl5SUhIeHh5IMBvDx8SE/P5/k5GTS09NJS0vjjTfeUJ5ra2vTqFEj5frcuXNkZ2fTtm1bjIyMlM+aNWs4f/688p4mTZqgUqk03pOVlcXff/8NPCyrsGrVKlasWIGTkxOTJk3SiHXAgAF8+eWX3Lt3j/v377N+/XplntevX+fKlSvFzrNAvXr1lK8NDQ0xMTFRSjyUJsbHHTlyhMDAQOzt7TE2NlaSuampqcXGUJr1elzbtm2pXr06NWrUoG/fvqxbt47s7OwS5/o0vvrqK3x8fKhatSpGRka8//77Jc4FIDExkaysLCwsLDTmc+HChWLnM3fuXExNTZWPnZ3dc5+LEEIIIYQQQgjxrGSHsBDilRQcHMykSZM4cOAA+/fvx9HREV9fXwD09fVf+PsL6g1v3boVW1tbjWcFO0ZL69dff6VChQqkpaVx9+5djI2NlWeBgYHo6emxadMmdHV1yc3NVerolnaeOjo6GtcqlYr8/PwyxVigoNyGv78/69ato0qVKqSmpuLv78/9+/eL7fc062VsbMzRo0eJj4/n559/ZurUqURGRnL48GHMzMzQ0tIqVNe5oPZvaR04cIA+ffowffp0/P39MTU1ZcOGDURHR5fYLysrC2tra+Lj4ws9K9gV/biIiAjGjBmjXGdkZEhSWAghhBBCCCHEK0d2CAshXqgaNWqgo6OjUSc3PT2dP//8s8R+FhYWBAUFERMTQ2xsrFJTF8DFxQV9fX127dpVZF93d3cSExO5e/euci8hIQEtLS3c3NwwNTXF2tqagwcPKs8fPHjAkSNHlOtatWqhp6dHamoqzs7OGp+CJJ+7uzsHDhzQSFomJCRgbGxMtWrVANi/fz/z5s3jhx9+wMjIqNCBcNra2oSEhBATE0NMTAw9e/ZUEsHGxsY4ODgUO8/SKE2Mjzpz5gz//PMPUVFR+Pr6UrNmTWW3cQFdXV3g4cF8ZVmvomhra+Pn58f8+fM5ceIEKSkp/PLLLwBUqVJFo450RkYGFy5cKNP89+/fT/Xq1Zk8eTKNGjXCxcWFixcvFprPo3MBaNCgAVevXkVbW7vQfCpXrlzku/T09DAxMdH4CCGEEEIIIYQQrxrZISyEeKGMjY0JCQlh/PjxmJubY2lpybRp09DS0tIoY1CU8PBwAgICyMvLU2oFA1SsWJGJEycyYcIEdHV18fHx4caNG5w6dYqwsDD69OnDtGnTCAkJITIykhs3bjB8+HD69u2rHDw3cuRIoqKicHFxoWbNmixcuJA7d+5oxD1u3DhGjx5Nfn4+zZo1Iz09nYSEBExMTAgJCWHIkCEsWrSI4cOHM2zYMJKTk5k2bRpjxoxBS0uLzMxM+vbty4gRI2jfvj3VqlXDy8uLwMBAZRdwwTzd3d2Bh8naR0VGRjJ48GAsLS1p3749mZmZJCQkMHz48FKt/5NifJy9vT26urosXbqUwYMH88cffzBz5kyNNtWrV0elUrFlyxY6dOiAvr5+qdbrcVu2bOGvv/6iefPmVKpUiR9//JH8/HylnEjr1q2JjY0lMDAQMzMzpk6dSoUKFUo17wIuLi6kpqayYcMGvLy82Lp1a6HDAx0cHLhw4QLHjx+nWrVqGBsb4+fnR5MmTQgKCmL+/Pm4urpy5coVtm7dSpcuXTTKiwghXh8pUR3LOwQhhBBCCCHKn1oIIV6wjIwMde/evdUGBgbqqlWrqhcuXKj29vZWT5o0SWlTvXp19YcffqjRLz8/X129enV1hw4dCo2Zl5ennjVrlrp69epqHR0dtb29vXrOnDnK8xMnTqhbtWqlrlixotrc3Fw9YMAAdWZmpvI8NzdXPXLkSLWJiYnazMxMPWbMGHVwcLC6c+fOGu9ftGiR2s3NTa2jo6OuUqWK2t/fX71nzx6lTXx8vNrLy0utq6urrlq1qnrixInq3NxctVqtVvfr109dt25d9b1795T20dHRanNzc/Xff/+tMR9fX1917dq1i1y/lStXKjFYW1urhw8frjwD1Js2bdJob2pqqo6JiSlVjGq1Wt2iRQv1yJEjlev169erHRwc1Hp6euomTZqo4+Li1ID62LFjSpsZM2aoq1atqlapVOqQkJBSr9ej9u7dq27RooW6UqVKan19fXW9evXUX331lfI8PT1d3aNHD7WJiYnazs5OHRsbq/bw8FBPmzat2Pk//lytVqvHjx+vtrCwUBsZGal79Oih/vDDD9WmpqbK83v37qnfeusttZmZmRpQ1i4jI0M9fPhwtY2NjVpHR0dtZ2en7tOnjzo1NbXI+TwuPT1dDajT09NL1V4IIYQQQgghhHgWpf05VKVWP1agUQghXrC7d+9ia2tLdHQ0YWFhxbbLysrC1taWmJgYunbt+hIjfLnUajUuLi4MGTJEowateL1lZGRgampKenq6lI8QQgghhBBCCPHClfbnUCkZIYR44Y4dO8aZM2fw9vYmPT2dGTNmANC5c+ci2+fn53Pz5k2io6MxMzOjU6dOLzPcl+rGjRts2LCBq1evatRJFkIIIYQQQgghhHgRJCEshHgpFixYQHJyMrq6ujRs2JC9e/cWezhXamoqjo6OVKtWjdjYWLS1/7v/qbK0tKRy5cp88sknVKpUqbzDEUIIIYQQQgghxH+clIwQQojnzMHBgVGjRjFq1KhyiyE0NJQ7d+6wefPmcouhrFQqFZs2bSIoKOipx2jZsiWenp4sWrToucX1tKRkhBBCCCGEEEKIl6m0P4cWPmJeCCGE+B8RHx+PSqXizp075R2KEEIIIYQQQgjxUvx3/w5bCCGEEEIIocFh0tbyDuGZpER1LO8QhBBCCCFee7JDWAghyigzM5M+ffpgaGiItbU1H374IS1btiyyRET//v0JCAjQuJebm4ulpSWrVq0CHh6iN3/+fJydndHT08Pe3p7Zs2cr7U+ePEnr1q3R19fHwsKCgQMHkpWVpTzPy8tjzJgxmJmZYWFhwYQJE3i8GlB+fj5z587F0dERfX19PDw8+PbbbzXa7NmzB29vb/T09LC2tmbSpEk8ePAAgDVr1mBkZMTZs2eV9kOGDKFmzZpkZ2czY8YM6tSpU2j+np6eTJkyRbn+/PPPqV27tvKOYcOGabS/efMmXbp0wcDAABcXF+Li4kodY1HWrl1Lo0aNMDY2pmrVqvTu3Zvr168DkJKSQqtWrQCoVKkSKpWK0NDQUq+XEEIIIYQQQgjxOpKEsBBClNGYMWNISEggLi6OHTt2sHfvXo4ePVpk2/DwcLZv305aWppyb8uWLWRnZ9OjRw8AIiIiiIqKYsqUKZw+fZr169djZWUFwN27d/H396dSpUocPnyYb775hp07d2okUqOjo4mNjeXzzz9n37593Lp1i02bNmnEMXfuXNasWcPKlSs5deoUo0eP5p133mHPnj0AXL58mQ4dOuDl5UViYiIrVqxg1apVzJo1C4Dg4GA6dOhAnz59ePDgAVu3buWzzz5j3bp1GBgY0L9/f5KSkjh8+LDyzmPHjnHixAn69esHwIoVKxg6dCgDBw7k5MmTxMXF4ezsrBHn9OnT6d69OydOnFDed+vWrVLFWJTc3FxmzpxJYmIimzdvJiUlRUn62tnZ8d133wGQnJxMWloaixcvLtV6FSUnJ4eMjAyNjxBCCCGEEEII8aqRQ+WEEKIMMjMzsbCwYP369bz99tsApKenY2Njw4ABA1i0aFGhQ+Vq165NSEgIEyZMAKBTp05YWFgQExNDZmYmVapUYdmyZYSHhxd636effsrEiRO5dOkShoaGAPz4448EBgZy5coVrKyssLGxYfTo0YwfPx6ABw8e4OjoSMOGDdm8eTM5OTmYm5uzc+dOmjRpoowdHh5OdnY269evZ/LkyXz33XckJSWhUqkAWL58ORMnTiQ9PR0tLS1u375NvXr1CAwMZOPGjYwYMYL33ntPGa9Dhw44ODiwfPlyAEaMGMHJkyfZvXs3ALa2tvTr16/YBK5KpeL9999n5syZwMNkuJGREdu2baNdu3alivFJh8r9/vvveHl5kZmZiZGREfHx8bRq1Yrbt29jZmYGUKr1KkpkZCTTp08vdF8OlRNCvEqkZIQQQgghxH+XHConhBAvwF9//UVubi7e3t7KPVNTU9zc3IrtEx4eTkxMDADXrl1j27Zt9O/fH4CkpCRycnJo06ZNkX2TkpLw8PBQksEAPj4+5Ofnk5ycTHp6OmlpabzxxhvKc21tbRo1aqRcnzt3juzsbNq2bYuRkZHyWbNmDefPn1fe06RJEyXRWvCerKws/v77b+BhWYVVq1axYsUKnJycmDRpkkasAwYM4Msvv+TevXvcv3+f9evXK/O8fv06V65cKXaeBerVq6d8bWhoiImJiVLioTQxPu7IkSMEBgZib2+PsbExLVq0ACA1NbXYGEqzXkWJiIggPT1d+Vy6dKnEuQohhBBCCCGEEOVBDpUTQogXLDg4mEmTJnHgwAH279+Po6Mjvr6+AOjr67/w9xfUG966dSu2trYaz/T09Mo01q+//kqFChVIS0vj7t27GBsbK88CAwPR09Nj06ZN6Orqkpubq+yiLu08dXR0NK5VKhX5+fllirFAQbkNf39/1q1bR5UqVUhNTcXf35/79+8X2+9p10tPT6/M6ymEEEIIIYQQQrxsskNYCCHKoEaNGujo6GjUyk1PT+fPP/8sto+FhQVBQUHExMQQGxur1NQFcHFxQV9fn127dhXZ193dncTERO7evavcS0hIQEtLCzc3N0xNTbG2tubgwYPK8wcPHnDkyBHlulatWujp6ZGamoqzs7PGx87OTnnPgQMHNA6jS0hIwNjYmGrVqgGwf/9+5s2bxw8//ICRkVGhA+G0tbUJCQkhJiaGmJgYevbsqSSCjY2NcXBwKHaepVGaGB915swZ/vnnH6KiovD19aVmzZrKbuMCurq6wMOD+cqyXkIIIYQQQgghxOtKdggLIUQZGBsbExISwvjx4zE3N8fS0pJp06ahpaWlUcrgceHh4QQEBJCXl0dISIhyv2LFikycOJEJEyagq6uLj48PN27c4NSpU4SFhdGnTx+mTZtGSEgIkZGR3Lhxg+HDh9O3b1/l4LmRI0cSFRWFi4sLNWvWZOHChdy5c0cj5nHjxjF69Gjy8/Np1qwZ6enpJCQkYGJiQkhICEOGDGHRokUMHz6cYcOGkZyczLRp0xgzZgxaWlpkZmbSt29fRowYQfv27alWrRpeXl4EBgYqu4AL5unu7g48TNY+KjIyksGDB2NpaUn79u3JzMwkISGB4cOHl2rtnxTj4+zt7dHV1WXp0qUMHjyYP/74Q6lPXKB69eqoVCq2bNlChw4d0NfXL9V6CSHE60pq8AohhBBCCEkICyFEGS1cuJDBgwcTEBCAiYkJEyZM4NKlS1SsWLHYPn5+flhbW1O7dm1sbGw0nk2ZMgVtbW2mTp3KlStXsLa2ZvDgwQAYGBjw008/MXLkSLy8vDAwMOCtt95i4cKFSv+xY8eSlpZGSEgIWlpa9O/fny5dupCenq60mTlzJlWqVGHu3Ln89ddfmJmZ0aBBA+VQOFtbW3788UfGjx+Ph4cH5ubmhIWF8f777wMPk86GhobMmTMHgLp16zJnzhwGDRpEkyZNlNIKLi4uNG3alFu3bmnUNQYICQnh3r17fPjhh4wbN47KlStrJJOf5EkxPq5KlSrExsby3nvvsWTJEho0aMCCBQvo1KmTxpjTp09n0qRJ9OvXj+DgYGJjY5+4XkIIIYQQQgghxOtKpX70b2+FEEKU2d27d7G1tSU6OpqwsLAi22RlZWFra0tMTAxdu3Z9yRG+PGq1GhcXF4YMGcKYMWPKO5xyVdrTXYUQQgghhBBCiOehtD+Hyg5hIYQoo2PHjnHmzBm8vb1JT09nxowZAHTu3LlQ2/z8fG7evEl0dDRmZmYau1P/a27cuMGGDRu4evWqRp1kIYQQQgghhBBCvDokISyEEE9hwYIFJCcno6urS8OGDdm7dy+VK1cu1C41NRVHR0eqVatGbGws2tr/3f/sWlpaUrlyZT755BMqVapU3uEIIYQQQgghhBCiCIVP4RFCiNeQg4MDixYteinvql+/PkeOHCErK4tbt26xY8cO6tatW2xcarWaS5cu0aZNm1KN37JlS0aNGvUcIy67yMhIPD09y9RHrVZz48YNevfuXeo+sbGxmJmZlS24cpCSkoJKpeL48ePlHYoQQgghhBBCCPFMJCEshBBCCCGEEEIIIYQQ/yP+u3+7LIQQL9H9+/fR1dUt7zDEU8jNzUVHR6e8wxDiteEwaWt5hyCeQUpUx/IOQQghhBBClDPZISyEeC1kZmbSp08fDA0Nsba25sMPPyy2tEL//v0JCAjQuJebm4ulpSWrVq0CHh72Nn/+fJydndHT08Pe3p7Zs2cr7S9dukT37t0xMzPD3Nyczp07k5KSojwPDQ0lKCiI2bNnY2Njg5ubGwAnT56kdevW6OvrY2FhwcCBA8nKyirUb/r06VSpUgUTExMGDx7M/fv3NeLNz89nwoQJmJubU7VqVSIjIzWep6am0rlzZ4yMjDAxMaF79+5cu3ZNeZ6YmEirVq0wNjbGxMSEhg0b8vvvvwP/V6Zh8+bNuLi4ULFiRfz9/bl06VKhtVy7di0ODg6YmprSs2dPMjMzlWc5OTmMGDECS0tLKlasSLNmzTh8+LBG/7i4OOUdrVq1YvXq1ahUKu7cuVPoXSkpKWhpaSlxFli0aBHVq1cnPz8fgFOnThEQEICJiQnGxsb4+vpy/vx5pf1nn32Gu7s7FStWpGbNmixfvlzjHSqViq+++ooWLVpQsWJF1q1bR35+PjNmzKBatWro6enh6enJ9u3bC8UohBBCCCGEEEK87iQhLIR4LYwZM4aEhATi4uLYsWMHe/fu5ejRo0W2DQ8PZ/v27aSlpSn3tmzZQnZ2Nj169AAgIiKCqKgopkyZwunTp1m/fj1WVlbAw+Sxv78/xsbG7N27l4SEBIyMjGjXrp1G4nbXrl0kJyezY8cOtmzZwt27d/H396dSpUocPnyYb775hp07dzJs2DCN+Hbt2kVSUhLx8fF8+eWXbNy4kenTp2u0Wb16NYaGhhw8eJD58+czY8YMduzYATxMFnfu3Jlbt26xZ88eduzYwV9//aXMDaBPnz5Uq1aNw4cPc+TIESZNmqSxCzY7O5vZs2ezZs0aEhISuHPnDj179tSI4fz582zevJktW7awZcsW9uzZQ1RUlPJ8woQJfPfdd6xevZqjR4/i7OyMv78/t27dAuDChQu8/fbbBAUFkZiYyKBBg5g8eXKx32MHBwf8/PyIiYnRuB8TE0NoaChaWlpcvnyZ5s2bo6enxy+//MKRI0fo378/Dx48AGDdunVMnTqV2bNnk5SUxJw5c5gyZQqrV6/WGHPSpEmMHDmSpKQk/P39Wbx4MdHR0SxYsIATJ07g7+9Pp06dOHv2bLHxPi4nJ4eMjAyNjxBCCCGEEEII8aqRkhFCiFdeZmYmq1evZv369crBbDExMdjY2BTZvmnTpri5ubF27VomTJigtO/WrRtGRkZkZmayePFili1bRkhICABOTk40a9YMgK+++or8/Hw+++wzVCqV0t/MzIz4+HjefPNNAAwNDfnss8+UUhGffvop9+7dY82aNRgaGgKwbNkyAgMDmTdvnpJw1tXV5fPPP8fAwIDatWszY8YMxo8fz8yZM9HSevh7unr16jFt2jQAXFxcWLZsGbt27aJt27bs2rWLkydPcuHCBezs7ABYs2YNtWvX5vDhw3h5eZGamsr48eOpWbOmMsajcnNzWbZsGW+88QbwMAHt7u7OoUOH8Pb2Bh4mnmNjYzE2Ngagb9++7Nq1i9mzZ3P37l1WrFhBbGws7du3V+a/Y8cOVq1axfjx4/n4449xc3Pjgw8+AMDNzY0//vhDYyf248LDwxk8eDALFy5ET0+Po0ePcvLkSb7//nsAPvroI0xNTdmwYYOS4HZ1dVX6T5s2jejoaLp27QqAo6Mjp0+f5uOPP1a+1wCjRo1S2gAsWLCAiRMnKknxefPmsXv3bhYtWsRHH31UbLyPmjt3bqHEvhBCCCGEEEII8aqRHcJCiFfeX3/9RW5urpKoBDA1NVXKNBQlPDxc2Wl67do1tm3bRv/+/QFISkoiJydHSS4/LjExkXPnzmFsbIyRkRFGRkaYm5tz7949jdIEdevW1agbnJSUhIeHh5IMBvDx8SE/P5/k5GTlnoeHBwYGBsp1kyZNyMrK0ijZUK9ePY2YrK2tuX79uvIeOzs7JRkMUKtWLczMzEhKSgIe7qgODw/Hz8+PqKgojbgBtLW18fLyUq5r1qyp0R8e7tgtSAY/HsP58+fJzc3Fx8dHea6jo4O3t7cyRnJyssY7AI3vYVGCgoKoUKECmzZtAh6Wt2jVqhUODg4AHD9+HF9f3yJr/t69e5fz588TFhamfN+MjIyYNWtWofk3atRI+TojI4MrV65ozAUefu8eXY8niYiIID09XfkUVYJDCCGEEEIIIYQob7JDWAjxnxQcHMykSZM4cOAA+/fvx9HREV9fXwD09fVL7JuVlUXDhg1Zt25doWdVqlRRvn408fu8PZ7wVKlUSg3d0oiMjKR3795s3bqVbdu2MW3aNDZs2ECXLl1eWgxPQ1dXl+DgYGJiYujatSvr169n8eLFyvOSvncFtZo//fRTZedzgQoVKmhcv4jvnZ6eHnp6es99XCGEEEIIIYQQ4nmSHcJCiFdejRo10NHR0TiwLD09nT///LPYPhYWFgQFBRETE0NsbCz9+vVTnrm4uKCvr8+uXbuK7NugQQPOnj2LpaUlzs7OGh9TU9Ni3+nu7k5iYiJ3795V7iUkJKClpaWxmzkxMZF///1Xuf7tt98wMjLS2PFbEnd3dy5duqSxA/X06dPcuXOHWrVqKfdcXV0ZPXo0P//8M127dtWozfvgwQONw9uSk5O5c+cO7u7upYrByckJXV1dEhISlHu5ubkcPnxYicHNza3QAXGPHzpXlPDwcHbu3Mny5ct58OCBRmmHevXqsXfvXnJzcwv1s7KywsbGhr/++qvQ983R0bHY95mYmGBjY6MxF3j4vXt0PYUQQgghhBBCiP8C2SEshHjlGRsbExISwvjx4zE3N8fS0pJp06ahpaWl1PgtSnh4OAEBAeTl5WnUj61YsSITJ05kwoQJ6Orq4uPjw40bNzh16hRhYWH06dOHDz74gM6dOzNjxgyqVavGxYsX2bhxIxMmTKBatWpFvq9Pnz5MmzaNkJAQIiMjuXHjBsOHD6dv375K/WCA+/fvExYWxvvvv09KSgrTpk1j2LBhSv3gJ/Hz86Nu3br06dOHRYsW8eDBA4YMGUKLFi1o1KgR//77L+PHj+ftt9/G0dGRv//+m8OHD/PWW28pY+jo6DB8+HCWLFmCtrY2w4YNo3Hjxk8s6VDA0NCQd999V/me2NvbM3/+fLKzswkLCwNg0KBBLFy4kIkTJxIWFsbx48eJjY0FKPH75u7uTuPGjZk4cSL9+/fX2BU8bNgwli5dSs+ePYmIiMDU1JTffvsNb29v3NzcmD59OiNGjMDU1JR27dqRk5PD77//zu3btxkzZkyx7xw/fjzTpk3DyckJT09PYmJiOH78eJG7xIX4X5cS1bG8QxBCCCGEEEI8A0kICyFeCwsXLmTw4MEEBARgYmLChAkTuHTpEhUrViy2j5+fH9bW1tSuXbvQAXRTpkxBW1ubqVOncuXKFaytrRk8eDAABgYG/Prrr0ycOJGuXbuSmZmJra0tbdq0wcTEpNj3GRgY8NNPPzFy5Ei8vLwwMDDgrbfeYuHChRrt2rRpg4uLC82bNycnJ4devXoRGRlZ6rVQqVR8//33DB8+nObNm6OlpUW7du1YunQp8LA8wj///ENwcDDXrl2jcuXKdO3aVePAMwMDAyZOnEjv3r25fPkyvr6+rFq1qtQxAERFRZGfn0/fvn3JzMykUaNG/PTTT1SqVAl4eKDbt99+y9ixY1m8eDFNmjRh8uTJvPvuu08srRAWFsb+/fuVus8FLCws+OWXXxg/fjwtWrSgQoUKeHp6KvV/w8PDMTAw4IMPPmD8+PEYGhpSt25dRo0aVeL7RowYQXp6OmPHjuX69evUqlWLuLi4QofxCSGEEEIIIYQQrzuVWq1Wl3cQQghRVnfv3sXW1pbo6GhlR+rjsrKysLW1VerRvgpCQ0O5c+cOmzdvLrcYYmNjGTVqFHfu3Hnp7549ezYrV6584oFrM2fO5JtvvuHEiRMvKbLnLyMjA1NTU9LT00v8RYIQQgghhBBCCPE8lPbnUNkhLIR4LRw7dowzZ87g7e1Neno6M2bMAKBz586F2ubn53Pz5k2io6MxMzOjU6dOLztc8f8tX74cLy8vLCwsSEhI4IMPPmDYsGHFts/KyiIlJYVly5Yxa9aslxipEEIIIYQQQgjxv0ESwkKI18aCBQtITk5GV1eXhg0bsnfvXipXrlyoXWpqKo6OjlSrVo3Y2Fi0teU/deXl7NmzzJo1i1u3bmFvb8/YsWOJiIgotv2wYcP48ssvCQoKKlQuQgghhBBCCCGEEM9OSkYI8Qpq2bIlnp6eLFq0CAAHBwdGjRql1EFVqVRs2rSJoKCgcouxLB4vk/D4/F7EO16GyMhINm/ezPHjx1/aO4uSkpKCo6Mjx44dw9PTs9h2L2LdizNlyhSuXbvGJ5988sLf9TzcvHmTWrVqcfTo0WIPDSwrKRkhhBBCCCGEEOJlKu3PoaU70l4IUa4OHz7MwIEDyzuM52bjxo3MnDmzvMP4z7CzsyMtLY06deoAEB8fj0qlKlQj+GWt+9WrV1m8eDGTJ08udH/48OHUqFEDPT097OzsCAwMZNeuXQDcunWL4cOH4+bmhr6+Pvb29sphb49KTU2lY8eOGBgYYGlpyfjx43nw4EGx8eTm5jJx4kTq1q2LoaEhNjY2BAcHc+XKFaVN5cqVCQ4OZtq0aUWO0bJly6dcDSGEEEIIIYQQ4tUif0ctxGugSpUq5R3Cc2Vubl7eIbwW8vLyUKlUaGmV/Lu7ChUqULVq1SeO97LW/bPPPqNp06ZUr15duZeSkoKPjw9mZmZ88MEH1K1bl9zcXH766SeGDh3KmTNnuHLlCleuXGHBggXUqlWLixcvMnjwYK5cucK3334LPFyTjh07UrVqVfbv309aWhrBwcHo6OgwZ86cIuPJzs7m6NGjTJkyBQ8PD27fvs3IkSPp1KkTv//+u9KuX79+NGzYkA8++ABzc3MSEhL4999/8fPzU9rs3LkTAwMDmjZt+oJWTwghCnOYtPW5jZUS1fG5jSWEEEIIIV5PskNYiHJ29+5dgoODMTIywtramujo6EJtHBwcCv2Z/82bN+nSpQsGBga4uLgQFxen8XzPnj14e3ujp6eHtbU1kyZN0thF2bJlS4YPH86oUaOoVKkSVlZWfPrpp9y9e5d+/fphbGyMs7Mz27ZtK9O4pdGyZUul/EXB/ObMmUP//v0xNjbG3t6+UKmBkydP0rp1a/T19bGwsGDgwIFkZWUV+478/Hzmzp2Lo6Mj+vr6eHh4KEnF0sxlzZo1WFhYkJOTo9EnKCiIvn37Fvvezz//nNq1aytjPnqA2sKFC5VdqnZ2dgwZMkRjDrGxsZiZmREXF0etWrXQ09MjNTX1ieuTkpKCSqXi+PHjpKSk0KpVKwAqVaqESqUiNDT0qdf90qVLdO/eHTMzM8zNzencuTMpKSnFzh9gw4YNBAYGatwbMmQIKpWKQ4cO8dZbb+Hq6krt2rUZM2YMv/32GwB16tThu+++IzAwECcnJ1q3bs3s2bP54YcflO/Lzz//zOnTp/niiy/w9PSkffv2zJw5k48++oj79+8XGY+pqSk7duyge/fuuLm50bhxY5YtW8aRI0dITU1V2tWuXRsbGxs2bdoEgL29PR9//DFDhgwhMzOTIUOG8Mknn2BnZ1fi/IUQQgghhBBCiFeZJISFKGfjx49nz549fP/99/z888/Ex8dz9OjRJ/abPn063bt358SJE3To0IE+ffpw69YtAC5fvkyHDh3w8vIiMTGRFStWsGrVKmbNmqUxxurVq6lcuTKHDh1i+PDhvPvuu3Tr1o2mTZty9OhR3nzzTfr27Ut2dnaZxn0a0dHRNGrUiGPHjjFkyBDeffddkpOTgYdJc39/fypVqsThw4f55ptv2Llzp0ay9XFz585lzZo1rFy5klOnTjF69Gjeeecd9uzZU6q5dOvWjby8PI1E+/Xr19m6dWuxh52tWLGCoUOHMnDgQE6ePElcXBzOzs7Kcy0tLZYsWcKpU6dYvXo1v/zyCxMmTNAYIzs7m3nz5vHZZ59x6tQpLC0tn7g+j7Kzs+O7774DIDk5mbS0NBYvXvxU656bm4u/vz/Gxsbs3buXhIQEjIyMaNeuXbHJ11u3bnH69GkaNWqkcW/79u0MHToUQ0PDQn3MzMyKja+g7lHBwYAHDhygbt26WFlZKW38/f3JyMjg1KlTwP8lyOPj40scV6VSFXq3t7c3e/fuBR6u5TfffIOpqSlHjx7FzMyMr7/+utiEcE5ODhkZGRofIYQQQgghhBDiVSMJYSHKUVZWFqtWrWLBggW0adOGunXrsnr16lLtuA0NDaVXr144OzszZ84csrKyOHToEADLly/Hzs6OZcuWUbNmTYKCgpg+fTrR0dHk5+crY3h4ePD+++/j4uJCREQEFStWpHLlygwYMAAXFxemTp3KP//8w4kTJ8o07tPo0KEDQ4YMwdnZmYkTJ1K5cmV2794NwPr167l37x5r1qyhTp06tG7dmmXLlrF27VquXbtWaKycnBzmzJnD559/jr+/PzVq1CA0NJR33nmHjz/+uFRz0dfXp3fv3sTExCjjfvHFF9jb2xdbT3bWrFmMHTuWkSNH4urqipeXl8aO3FGjRtGqVSscHBxo3bo1s2bN4uuvv9YYIzc3l+XLl9O0aVPc3NwwMDB44vo8qkKFCkppCEtLS6pWrYqpqelTrftXX31Ffn4+n332GXXr1sXd3Z2YmBhSU1OLTbampqaiVquxsbFR7p07dw61Wk3NmjWLjaMoN2/eZObMmRr1s69evaqRDAaU66tXrwKgo6OjsXaPu3fvHhMnTqRXr16Fiuzb2Nhw8eJF4OEvDXr27MmdO3do0KABt2/fpmfPnly+fLnIcefOnYupqanykZ3EQgghhBBCCCFeRZIQFqIcnT9/nvv37/PGG28o98zNzXFzc3ti33r16ilfGxoaYmJiwvXr1wFISkqiSZMmqFQqpY2Pjw9ZWVn8/fffRY5RoUIFLCwsqFu3rnKvINFW2nFTU1MxMjJSPsXVdH3SfFQqFVWrVtV4r4eHh8buUh8fH/Lz84vcJXvu3Dmys7Np27atRjxr1qzh/PnzpV6jAQMG8PPPPysJwNjYWEJDQzX6FLh+/TpXrlyhTZs2xc5x586dtGnTBltbW4yNjenbty///POPsgMbQFdXV2MtSrM+z6KkcRMTEzl37hzGxsbKGpqbm3Pv3j1lHR/377//AlCxYkXlnlqtLnNcGRkZdOzYkVq1ahEZGVmmvra2tpw5cwZvb+9Cz3Jzc+nevTtqtZoVK1YUeq6vr698P1JSUggPD2fFihUYGxuzYsUKwsPDiy2ZERERQXp6uvK5dOlSmeIWQgghhBBCCCFeBjlUTojXlI6Ojsa1SqUq8y7dosZ49F5B4rO049rY2HD8+HHluiyHmD2P+RQoqMu7detWbG1tNZ7p6emVepz69evj4eHBmjVrePPNNzl16hRbtxZ9sI++vn6JY6WkpBAQEMC7777L7NmzMTc3Z9++fYSFhXH//n1lN6u+vn6RCefnuT6lHTcrK4uGDRuybt26Qv2KO+iwcuXKANy+fVtp4+Ligkql4syZM6WKKTMzk3bt2mFsbMymTZs0YqxataqyE75AwS7xJx2sV5AMvnjxIr/88kuh3cHwsLxFQdw+Pj6Fnj96wNzj9PT0yvTPlxBCCCGEEEIIUR5kh7AQ5cjJyQkdHR0OHjyo3Lt9+zZ//vnnM43r7u7OgQMHNHZmJiQkYGxsTLVq1V7YuNra2jg7OyufsiSEn/TexMRE7t69q/FeLS2tIndTP3og26PxODs7K3/GX9o1Cg8PJzY2lpiYGPz8/IotA2BsbIyDgwO7du0q8vmRI0fIz88nOjqaxo0b4+rqypUrV55qPZ5EV1cXgLy8vGcap0GDBpw9exZLS8tC61hcGQonJydMTEw4ffq0cs/c3Bx/f38++ugjje9hgTt37ihfZ2Rk8Oabb6Krq0tcXJzGTmOAJk2acPLkSY3d0Tt27MDExIRatWoVO5eCZPDZs2fZuXMnFhYWRbb7448/qF+/fqH7JdUjFkIIIYQQQgghXieyQ1iIcmRkZERYWBjjx4/HwsICS0tLJk+ejJbWs/2uZsiQISxatIjhw4czbNgwkpOTmTZtGmPGjHmmsV/UuE/Sp08fpk2bRkhICJGRkdy4cYPhw4fTt2/fQvVk4WFydty4cYwePZr8/HyaNWtGeno6CQkJmJiYEBISUuq59O7dm3HjxvHpp5+yZs2aEuOMjIxk8ODBWFpa0r59ezIzM0lISGD48OE4OzuTm5vL0qVLCQwMJCEhgZUrVz73tQKoXr06KpWKLVu20KFDB/T19TEyMirzOH369OGDDz6gc+fOzJgxg2rVqnHx4kU2btzIhAkTivzlgpaWFn5+fuzbt4+goCDl/kcffYSPjw/e3t7MmDGDevXq8eDBA3bs2MGKFStISkpSksHZ2dl88cUXGgezValShQoVKvDmm29Sq1Yt+vbty/z587l69Srvv/8+Q4cOVXbnXr58mTZt2rBmzRq8vb3Jzc3l7bff5ujRo2zZsoW8vDyl3rC5ubmSQM/OzubIkSNlKnUihBAvQ0pUx/IOQQghhBBC/IfIDmEhytkHH3yAr68vgYGB+Pn50axZMxo2bPhMY9ra2vLjjz9y6NAhPDw8GDx4MGFhYbz//vuv5LhPYmBgwE8//cStW7fw8vLi7bffpk2bNixbtqzYPjNnzmTKlCnMnTsXd3d32rVrx9atW3F0dCzTXExNTXnrrbcwMjLSSHAWJSQkhEWLFrF8+XJq165NQEAAZ8+eBR4e4Ldw4ULmzZtHnTp1WLduHXPnzn22hSmGra0t06dPZ9KkSVhZWTFs2LCnGsfAwIBff/0Ve3t7unbtiru7O2FhYdy7d6/IcgsFwsPD2bBhg0ZJixo1anD06FFatWrF2LFjqVOnDm3btmXXrl1KLd+jR49y8OBBTp48ibOzM9bW1sqnoB5vhQoV2LJlCxUqVKBJkya88847BAcHM2PGDOVdubm5JCcnK7WAL1++TFxcHH///Teenp4a4+7fv1/p9/3332Nvb4+vr+9TrZcQQgghhBBCCPE6UKmf5rQfIYT4H9KmTRtq167NkiVLyjuU14JareaNN95g9OjR9OrVq7zDKbXGjRszYsQIevfu/VzGy8jIwNTUlPT09BIT6EIIIYQQQgghxPNQ2p9DZYewEEIU4/bt22zatIn4+HiGDh1a3uG8NlQqFZ988gkPHjwo71BK7ebNm3Tt2vW1SmALIYQQQgghhBBPQ3YICyFEMRwcHLh9+zZTpkxh3Lhx5R2OeM3IDmEhhBBCCCGEEC+T7BAWQohnlJKSQnp6+mubDG7ZsiWjRo0q7zBKJSUlBZVKxfHjx59pHAcHBxYtWvRcYhJCCCGEEEIIIf6LJCEshBDif1ZsbCxmZmblHYYQQgghhBBCCPHSaJd3AEIIIYQQQhRwmLS1vEP4T0uJ6ljeIQghhBBCiHImO4SFEOI/4O7duwQHB2NkZIS1tTXR0dEaz3Nychg3bhy2trYYGhryxhtvEB8fr9Hmu+++o3bt2ujp6eHg4KAxxowZM7CxseGff/5R7nXs2JFWrVqRn59P//79CQgI0BgvNzcXS0tLVq1aBUB+fj7z58/H2dkZPT097O3tmT17tkafv/76i1atWmFgYICHhwcHDhwodYxFWbhwIXXr1sXQ0BA7OzuGDBlCVlYWAPHx8fTr14/09HRUKhUqlYrIyMhSr5cQQgghhBBCCPE6koSwEEL8B4wfP549e/bw/fff8/PPPxMfH8/Ro0eV58OGDePAgQNs2LCBEydO0K1bN9q1a8fZs2cBOHLkCN27d6dnz56cPHmSyMhIpkyZQmxsLACTJ0/GwcGB8PBwAD766CP279/P6tWr0dLSIjw8nO3bt5OWlqa8c8uWLWRnZ9OjRw8AIiIiiIqKYsqUKZw+fZr169djZWWlMY/Jkyczbtw4jh8/jqurK7169eLBgwelirEoWlpaLFmyhFOnTrF69Wp++eUXJkyYAEDTpk1ZtGgRJiYmpKWlkZaWptSLftJ6FSUnJ4eMjAyNjxBCCCGEEEII8apRqdVqdXkHIYQQ4ullZWVhYWHBF198Qbdu3QC4desW1apVY+DAgYwZM4YaNWqQmpqKjY2N0s/Pzw9vb2/mzJlDnz59uHHjBj///LPyfMKECWzdupVTp04BD3fvenp6MmTIEJYsWcJnn31G7969lfa1a9cmJCRESbh26tQJCwsLYmJiyMzMpEqVKixbtkxJKj8qJSUFR0dHPvvsM8LCwgA4ffo0tWvXJikpiZo1a5YqRgcHB0aNGlXsYXrffvstgwcP5ubNm8DDGsKjRo3izp07SpvU1NQnrldRIiMjmT59eqH7TzrdVQihSUpGvFhSMkIIIYQQ4r8rIyMDU1PTJ/4cKjuEhRDiNXf+/Hnu37/PG2+8odwzNzfHzc0NgJMnT5KXl4erqytGRkbKZ8+ePZw/fx6ApKQkfHx8NMb18fHh7Nmz5OXlAVCjRg0WLFjAvHnz6NSpk0YyGCA8PJyYmBgArl27xrZt2+jfv78yfk5ODm3atClxLvXq1VO+tra2BuD69euljvFxO3fupE2bNtja2mJsbEzfvn35559/yM7OLjaG0qxXUSIiIkhPT1c+ly5dKnGuQgghhBBCCCFEeZBD5YQQ4j8uKyuLChUqcOTIESpUqKDxzMjIqExj/frrr1SoUIGUlBQePHiAtvb//W8kODiYSZMmceDAAfbv34+joyO+vr4A6Ovrl2p8HR0d5WuVSgU8rD38NFJSUggICODdd99l9uzZmJubs2/fPsLCwrh//z4GBgZF9nva9dLT00NPT++pYhVCCCGEEEIIIV4WSQgLIcRrzsnJCR0dHQ4ePIi9vT0At2/f5s8//6RFixbUr1+fvLw8rl+/riRoH+fu7k5CQoLGvYSEBFxdXZWk6FdffcXGjRuJj4+ne/fuzJw5U6NEgoWFBUFBQcTExHDgwAH69eunPHNxcUFfX59du3YVWTKiNEoT46OOHDlCfn4+0dHRaGk9/IOYr7/+WqONrq5uod3FpVkvIcSLIyUNhBBCCCGEeLEkISyEEK85IyMjwsLCGD9+PBYWFlhaWjJ58mQlCerq6kqfPn0IDg4mOjqa+vXrc+PGDXbt2kW9evXo2LEjY8eOxcvLi5kzZ9KjRw8OHDjAsmXLWL58OQB///037777LvPmzaNZs2bExMQQEBBA+/btady4sRJLeHg4AQEB5OXlERISotyvWLEiEydOZMKECejq6uLj48ONGzc4deqUUjP4SZ4U4+OcnZ3Jzc1l6dKlBAYGkpCQwMqVKzXaODg4kJWVxa5du/Dw8MDAwKBU6yWEEEIIIYQQQryupIawEEL8B3zwwQf4+voSGBiIn58fzZo1o2HDhsrzmJgYgoODGTt2LG5ubgQFBXH48GFlR3GDBg34+uuv2bBhA3Xq1GHq1KnMmDGD0NBQ1Go1oaGheHt7M2zYMAD8/f159913eeedd8jKylLe4+fnh7W1Nf7+/hoHsgFMmTKFsWPHMnXqVNzd3enRo4dSH7g0SoqxKB4eHixcuJB58+ZRp04d1q1bx9y5czXaNG3alMGDB9OjRw+qVKnC/PnzS7VeQgghhBBCCCHE60qlVqvV5R2EEEKI/4asrCxsbW2JiYmha9eu5R1OuSrt6a5CCCGEEEIIIcTzUNqfQ6VkhBBCiGeWn5/PzZs3iY6OxszMjE6dOpV3SEIIIYQQQgghhCiClIwQQihatmzJqFGjSmzj4ODAokWLnvldq1at4s033yyxTWhoKEFBQc/8LvFQSkoKKpWK48ePP/exU1NTsbKyYv369Xz++edoa79ev2/cvn07np6e5Ofnl3coQgghhBBCCCHECyUJYSGEYuPGjcycOfOFv+fevXtMmTKFadOmlanfr7/+SmBgIDY2NqhUKjZv3lxku6SkJDp16oSpqSmGhoZ4eXmRmppaYjyhoaHUrVsXbW3tEpPQq1evplmzZuTm5jJx4kTq1q2LoaEhNjY2BAcHc+XKlSL75eTk4OnpWaqEbGnn+TyMGDGChg0boqenh6enZ5FtfvrpJxo3boyxsTFVqlThrbfeIiUlRaONg4MDarWaS5cu0aZNGzZu3Mibb76JhYXFE+fs6OjIzp07iY+Pp3PnzlhbW2NoaIinpyfr1q3TaPvpp5/i6+tLpUqVqFSpEn5+fhw6dOiZ59muXTt0dHQKvQ8eJtKLq1MshBBCCCGEEEK8bl6vLVxC/I+7f/8+urq6L2x8c3PzFzb2o7799ltMTEzw8fEpU7+7d+/i4eFB//79i61Pe/78eZo1a0ZYWBjTp0/HxMSEU6dOUbFixWLHzcvLQ19fnxEjRvDdd9+VGMP3339Pp06dyM7O5ujRo0yZMgUPDw9u377NyJEj6dSpE7///nuhfhMmTMDGxobExMTnMs/nqX///hw8eJATJ04UenbhwgU6d+7MmDFjWLduHenp6YwePZquXbty9OjRYse8e/cuzZo1o3v37gwYMKDYdidOnOD27du0aNGCDz74gHr16jFx4kSsrKzYsmULwcHBmJqaEhAQAEB8fDy9evWiadOmVKxYkXnz5vHmm29y6tQpbG1tn3qe8HBH+pIlS+jbty8A69ato3HjxlSoUAEAtVrN8uXL6d27N5UqVSrxXUII8apymLS1vEN4ZaREdSzvEIQQQgghyoXsEBbiBcrPz2f+/Pk4Ozujp6eHvb09s2fPVp5funSJ7t27Y2Zmhrm5OZ07d9bYeVlQMmH27NnY2Njg5uYGwNq1a2nUqBHGxsZUrVqV3r17c/36daVffHw8KpWKn376ifr166Ovr0/r1q25fv0627Ztw93dHRMTE3r37k12drbS7/GSEdevXycwMBB9fX0cHR2L3D15584dwsPDqVKlCiYmJrRu3fqJSc8NGzYQGBiocS8vL48xY8ZgZmaGhYUFEyZM4PEzL9u3b8+sWbPo0qVLsWNPnjyZDh06MH/+fOrXr4+TkxOdOnXC0tKy2D6GhoasWLGCAQMGULVq1WLb3bt3j59//lnZfbxjxw66d++Om5sbjRs3ZtmyZRw5cqTQbuRt27bx888/s2DBgpKWpUzzLI1Dhw5Rv359KlasSKNGjTh27FihNkuWLGHo0KHUqFGjyDGOHDlCXl4es2bNwsnJiQYNGjBu3DiOHz9Obm5use/u27cvU6dOxc/Pr8QYv//+e2V37nvvvcfMmTNp2rQpTk5OjBw5knbt2rFx40al/bp16xgyZAienp7UrFmTzz77jPz8fHbt2lXie540T4DAwEB+//13zp8/DzzcuRwSEsLKlSv5+++/adeuHZcvX0ZPT6/EdwkhhBBCCCGEEK8ySQgL8QJFREQQFRXFlClTOH36NOvXr8fKygqA3Nxc/P39MTY2Zu/evSQkJGBkZES7du24f/++MsauXbtITk5mx44dbNmyRek7c+ZMEhMT2bx5c7F/0h4ZGcmyZcvYv3+/knxetGgR69evZ+vWrfz8888sXbq02PhDQ0O5dOkSu3fv5ttvv2X58uUaiWeAbt26KYnmI0eO0KBBA9q0acOtW7eKHXffvn00atRI4150dDSxsbF8/vnn7Nu3j1u3brFp06YnrvGj8vPz2bp1K66urvj7+2Npackbb7xRqORCaGgoLVu2LNPY8PB7YWtrS82aNYt8np6ejkqlwszMTLl37do1BgwYwNq1azEwMCiyn0qlIjY2tszxlCQrK4uAgABq1arFkSNHiIyMZNy4cWUep2HDhmhpaRETE0NeXh7p6emsXbsWPz8/dHR0gP+rTRwfH1/m8ePi4ujcuXOxz9PT00vcuZ6dnU1ubq5Gm8jISBwcHMoci729PVZWVuzduxeApk2bsnv3bg4cOEB8fDyjRo1izpw5xX4fhRBCCCGEEEKI14GUjBDiBcnMzGTx4sUsW7aMkJAQAJycnGjWrBkAX331Ffn5+Xz22WeoVCoAYmJiMDMzIz4+XjlwzdDQkM8++0yjVET//v2Vr2vUqMGSJUvw8vIiKysLIyMj5dmsWbOUsgxhYWFERERw/vx5ZZfk22+/ze7du5k4cWKh+P/880+2bdvGoUOH8PLyAh4eBOfu7q602bdvH4cOHeL69evKrskFCxawefNmvv32WwYOHFho3Dt37pCeno6NjY3G/UWLFhEREaGUSFi5ciU//fTTkxf6EdevXycrK4uoqChmzZrFvHnz2L59O127dmX37t20aNECAGtr66c6PKygXERR7t27x8SJE+nVqxcmJibAwxIDoaGhDB48mEaNGhWqu1vAzc0NU1PTMsdTkvXr15Ofn8+qVauoWLEitWvX5u+//+bdd98t0ziOjo78/PPPdO/enUGDBpGXl0eTJk348ccflTY6Ojq4ubmVOVF6+fJlTpw4Qfv27Yt8/vXXX3P48GE+/vjjYseYOHEiNjY2GjuRK1eujJOTU5liKWBjY8PFixcBOHjwIOPHj6dp06bo6OiwaNEiDhw4wHvvvVdkCZKcnBxycnKU64yMjKeKQQghhBBCCCGEeJFkh7AQL0hSUhI5OTm0adOmyOeJiYmcO3cOY2NjjIyMMDIywtzcnHv37il/sg5Qt27dQnWDjxw5QmBgIPb29hgbGyuJzsdLFdSrV0/52srKCgMDA40/mbeysiq04/fR+LW1tWnYsKFyr2bNmhq7XxMTE8nKysLCwkKZg5GRERcuXNCYw6P+/fdfAI2EWnp6OmlpabzxxhvKPW1t7UK7iJ+kIMnbuXNnRo8ejaenJ5MmTSIgIICVK1cq7ebOncuaNWvKNLZareaHH34oMiGcm5tL9+7dUavVrFixQrm/dOlSMjMziYiIKHHsM2fOPHN5iMclJSVRr149jXVu0qRJmce5evUqAwYMICQkhMOHD7Nnzx50dXV5++23lZIetra2nDlzBm9v7zKNHRcXR7NmzTT+mSqwe/du+vXrx6effkrt2rWL7B8VFcWGDRvYtGmTxjyHDRv2xBISxdHX11fKqJw9e5aYmBgGDx5MtWrV2L59O1ZWVhplVh41d+5cTE1NlY+dnd1TxSCEEEIIIYQQQrxIskNYiBdEX1+/xOdZWVk0bNiwyLq8VapUUb42NDTUeHb37l38/f3x9/dn3bp1VKlShdTUVPz9/TVKTQDKn/TDw7IEj14X3HuanbKPzsHa2rrIUgFFJfkALCwsUKlU3L59+6nfW5zKlSujra1NrVq1NO67u7uzb9++Zxr70KFDPHjwgKZNm2rcL0gGX7x4kV9++UXZHQzwyy+/cODAgUI1Zxs1akSfPn1YvXr1M8X0Mnz00UeYmpoyf/585d4XX3yBnZ0dBw8epHHjxk89dlxcXJEJ9j179hAYGMiHH35IcHBwkX0XLFhAVFQUO3fu1PjFx7O6deuW8u/fO++8A6Ds7FapVAwdOrTYvhEREYwZM0a5zsjIkKSwEEIIIYQQQohXjuwQFuIFcXFxQV9fv9idig0aNODs2bNYWlri7Oys8SmpfMCZM2f4559/iIqKwtfXl5o1axa7y/dZ1KxZkwcPHnDkyBHlXnJyMnfu3NGYw9WrV9HW1i40h8qVKxc5rq6uLrVq1eL06dPKPVNTU6ytrTl48KBy7/F3l4auri5eXl4kJydr3P/zzz+pXr16mcZ63Pfff0/Hjh2pUKGCcq8gGXz27Fl27tyJhYWFRp8lS5aQmJjI8ePHOX78uFJm4auvvtI4XPBFcHd358SJE9y7d0+599tvv5V5nOzsbLS0NP9XUbAGz/rLhN27dxeqHxwfH0/Hjh2ZN29ekSVHAObPn8/MmTPZvn17mXeRl6Rgd379+vU17js4OJSqxrOenh4mJiYaHyGEEEIIIYQQ4lUjO4SFeEEqVqzIxIkTmTBhArq6uvj4+HDjxg1OnTpFWFgYffr04YMPPqBz587MmDGDatWqcfHiRTZu3MiECROoVq1akePa29ujq6vL0qVLGTx4MH/88QczZ8587vG7ubnRrl07Bg0axIoVK9DW1mbUqFEaO5/9/Pxo0qQJQUFBzJ8/H1dXV65cucLWrVvp0qVLsck6f39/9u3bx6hRo5R7I0eOJCoqChcXF2rWrMnChQs1ks/wMIl47tw55frChQscP34cc3Nz7O3tARg/fjw9evSgefPmtGrViu3bt/PDDz9o7GKOiIjg8uXLGmUjTp8+/f/Yu+/wnO7/8ePPW/aOECKykCGCCDEiWltipEY/ZkqCBCU2Ra2gaIkR1KhqglKqRNPa1IwdYqZGPiJGVCuEGBHJ+f3hl/N1yxAtjfbzelzXfV29z3mP13mf+9Yrr7zzOjx9+pS0tDQePHhAQkICADVq1ACe72adPHmy2j4rK4v//Oc/nDhxgp9//pns7Gxu3boFgJWVFfr6+mpMuXLrO1eqVEnr/lauXJnp06erZSOKcp2v0q1bN8aOHUtoaChjxowhOTmZiIiIPO0uX75MRkYGt27d4vHjx+p1V6lSBX19fVq3bs2cOXOYPHkyXbt25cGDB3z66ac4OjqqidMbN27QtGlTVqxYoZaNSEtLIyUlhZs3bwKoSXobGxtsbGzYunUrrq6uWg9/2717N23atGHw4MF8+OGH6nrq6+urD4374osvmDBhAqtXr8bJyUltk1uuBGDBggXExMRo/TLmVdcJzxPmBgYGf6q0hhBC/FMkf966uEMQQgghhBDFTRFCvDXZ2dnKZ599pjg6Oip6enqKg4ODMm3aNPV8amqq0qNHD6V06dKKgYGBUrFiRSU0NFRJT09XFEVRgoKClLZt2+YZd/Xq1YqTk5NiYGCg+Pj4KLGxsQqgnDx5UlEURdm9e7cCKHfv3lX7REVFKRYWFlrjTJw4UfH09FTfN2zYUBk8eLBWfK1bt1YMDAwUBwcHZcWKFYqjo6MyZ84ctc39+/eVgQMHKra2toqenp5ib2+vBAYGKikpKQWuy7lz5xQjIyPl3r176rGsrCxl8ODBirm5uWJpaakMGzZM6dGjh9b1517Xy6+goCCt8ZctW6Y4OzsrhoaGiqenp7Jx40at80FBQUrDhg21jjk6OuY7tqIoyuXLlxUDAwMlIyNDbX/lypV82wPK7t27873u3D659ykXoERFRb3WdU6cOFFxdHTMd55chw4dUjw9PRV9fX2lRo0ayvr16/PM37Bhw3znunLlitrmu+++U7y8vBQTExPF2tpa+eCDD5TExMQ81/XidUdFReU77sSJExVFUZSPPvpIGTt2rFa8QUFB+fZ58V4VdJ9yxy1obYpynX369FH69u1b6Jq+jvT0dAVQv89CCCGEEEIIIcTbVNSfQzWK8v+fCiSEEH+jjh07UrNmzVc+cO1dMHv2bHbu3KmWfHgXBAUFodFoilTK4F3z7NkzypYty5YtW177QXRvyx9//IGbmxvHjx+nQoUKb2TM+/fvY2FhQXp6upSPEEIIIYQQQgjx1hX151CpISyEKBYzZ85U/8T/XWdnZ/dOJa4VRWHPnj1vpVTI3yEtLY2hQ4dSu3bt4g5FlZyczMKFC99YMlgIIYQQQgghhHhXyQ5hIYQQ4i2QHcJCCCGEEEIIIf5OskNYvNOio6OxtLQs7jD+VsnJyWg0GvVhVnv27EGj0eR5cFphnJycmDt3bqFtnj59irOzMwcPHizyuP/W+1GU9Xpbtm7dSo0aNcjJySmW+d8F4eHh6kP5XjxWtmxZNBoNGzdu/Ntj+jPfD7mXQgghhBBCCCH+TSQhLP613vUkZ/369UlNTcXCwuKNjrt48WIqVKhA/fr11WMffPABDg4OGBoaUq5cObp3787Nmzff6LzAG0vypaam0q1bN1xdXSlRogRDhgzJ06ZRo0ZoNJo8r9at3+zT0/NLahaFv78/enp6rFq16o3G80+WmJjIpEmTWLJkCampqbRs2bJI/d5k8vjl70dycjK9e/emQoUKGBkZUalSJSZOnMjTp0/VPnIvhRBCCCGEEEL8m+gWdwBC5Ofp06fo6+sXdxhvlb6+PjY2Nm90TEVRWLBgAZMnT9Y63rhxYz799FPKlSvHjRs3GDFiBP/5z39ea5fk3ykzMxNra2vGjRvHnDlz8m2zYcMGraTdnTt38PT0pGPHjn9XmK8UHBzMvHnz6N69e3GH8k5ISkoCoG3btmg0mr99/vy+H7/++is5OTksWbIEZ2dnzp49S2hoKA8fPiQiIkJtJ/dSiH8Op9GbijuEd1ry52/2F6dCCCGEEOKfR3YIi0Jt3bqVBg0aYGlpSalSpWjTpo2a1IH/K4OwYcMGGjdujLGxMZ6enhw6dEhrnOjoaBwcHDA2NqZ9+/bcuXNH63zuLsyvv/6aChUqYGhoCEBKSgpt27bF1NQUc3NzOnXqxG+//ab2O3XqFI0bN8bMzAxzc3Nq1arF8ePH2bNnDz179iQ9PV3dORoeHg48TzaOGDGC8uXLY2JiQt26ddmzZ49WrJaWlmzbtg13d3dMTU3x9/cnNTVVK+avv/4ad3d3DA0NqVy5MgsXLtQ6f/ToUby8vDA0NMTb25uTJ09qnc+vZMT69evx8PDAwMAAJycnZs2aVbQb9f/Fx8eTlJSUZ5fs0KFDqVevHo6OjtSvX5/Ro0dz+PBhsrKytNpt3LgRFxcXDA0N8fPz49q1a1rnf/zxR2rWrImhoSEVK1Zk0qRJPHv2DHhengGgffv2aDQa9X1SUhJt27albNmymJqaUrt2bXbu3FnodTg5OREZGUmPHj0K3EFtZWWFjY2N+tqxYwfGxsZ5EsIPHjyga9eumJiYUL58eb788kut8/fu3SMkJARra2vMzc1p0qQJp06dAp5/FiZNmsSpU6fUz1F0dDQAs2fPplq1apiYmGBvb0///v3JyMjQGjsgIIDjx49rfWdeFhwcTLt27Zg2bRply5bF0tKSyZMn8+zZM0aOHImVlRV2dnZERUVp9Ttz5gxNmjTByMiIUqVK0adPH635c8eNiIigXLlylCpVigEDBmjd87t379KjRw9KliyJsbExLVu25NKlS+r5q1evEhAQQMmSJTExMcHDw4PNmzera/PyDvyNGzcWmOgNDw8nICAAgBIlSqjtjh07RvPmzSldujQWFhY0bNiQEydOqP0K+lxB4Z/H/OT3/fD39ycqKooWLVpQsWJFPvjgA0aMGMGGDRu0+hblXgohhBBCCCGEEP8EkhAWhXr48CHDhg3j+PHj7Nq1ixIlStC+ffs8tTTHjh3LiBEjSEhIwNXVla5du6qJmSNHjtC7d2/CwsJISEigcePGfPbZZ3nmunz5MuvXr2fDhg0kJCSQk5ND27ZtSUtLY+/evezYsYP//ve/dO7cWe0TGBiInZ0dx44dIz4+ntGjR6Onp0f9+vWZO3cu5ubmpKamkpqayogRIwAICwvj0KFDrFmzhtOnT9OxY0f8/f21EmGPHj0iIiKClStXsm/fPlJSUtT+AKtWrWLChAlMnTqVxMREpk2bxvjx41m+fDkAGRkZtGnThipVqhAfH094eLhW//zEx8fTqVMnunTpwpkzZwgPD2f8+PFqArIo9u/fj6urK2ZmZgW2SUtLY9WqVdSvXx89PT2ta546dSorVqwgLi6Oe/fu0aVLF62xe/ToweDBgzl//jxLliwhOjqaqVOnAs8TewBRUVGkpqaq7zMyMmjVqhW7du3i5MmT+Pv7ExAQQEpKSpGvqyiWLVtGly5dMDEx0To+c+ZMPD09OXnyJKNHj2bw4MHs2LFDPd+xY0du377Nli1biI+Pp2bNmjRt2pS0tDQ6d+7M8OHD8fDwUD9HuZ+/EiVKMG/ePM6dO8fy5cv55Zdf+OSTT7TmdnBwoGzZsuzfv7/Q2H/55Rdu3rzJvn37mD17NhMnTqRNmzaULFmSI0eO0K9fP/r27cv169eB599LPz8/SpYsybFjx1i3bh07d+4kLCxMa9zdu3eTlJTE7t27Wb58OdHR0Vqfp+DgYI4fP05sbCyHDh1CURRatWqlJo0HDBhAZmYm+/bt48yZM3zxxReYmpq+3o35/0aMGKEmtXPXEp4n7IOCgjhw4ACHDx/GxcWFVq1a8eDBA6Dgz9WrPo/5Kcr3AyA9PR0rKyutY0W9l0IIIYQQQgghxLtOSkaIQn344Yda77/55husra05f/48VatWVY+PGDFC3XU3adIkPDw8uHz5MpUrVyYyMhJ/f381Webq6srBgwfZunWr1thPnz5lxYoVWFtbA7Bjxw7OnDnDlStXsLe3B2DFihV4eHhw7NgxateuTUpKCiNHjqRy5coAuLi4qONZWFig0Wi0yjKkpKQQFRVvAPCPAAEAAElEQVRFSkoKtra2auxbt24lKiqKadOmAZCVlcXixYupVKkS8DyJ/OKfmU+cOJFZs2bRoUMHACpUqKAmpYKCgli9ejU5OTksW7YMQ0NDPDw8uH79Oh9//HGBaz179myaNm3K+PHj1XU6f/48M2fOJDg4uOCb9IKrV6+q1/WyUaNGsWDBAh49ekS9evX4+eeftc5nZWWxYMEC6tatC8Dy5ctxd3fn6NGj1KlTh0mTJjF69GiCgoIAqFixIlOmTOGTTz5h4sSJ6n2ztLTUWnNPT088PT3V91OmTCEmJobY2Ng8Ccw/6+jRo5w9e5Zly5blOefr68vo0aOB52saFxfHnDlzaN68OQcOHODo0aPcvn0bAwMDACIiIti4cSM//PADffr0wdTUFF1d3TzlPV6sa+zk5MRnn31Gv3798uwUt7W15erVq4XGb2Vlxbx58yhRogRubm7MmDGDR48e8emnnwIwZswYPv/8cw4cOECXLl1YvXo1T548YcWKFWoCfMGCBQQEBPDFF19QtmxZAEqWLMmCBQvQ0dGhcuXKtG7dml27dhEaGsqlS5eIjY0lLi5Orae7atUq7O3t2bhxIx07diQlJYUPP/yQatWqAc/v+Z9lamqq7ih+cS2bNGmi1e6rr77C0tKSvXv30qZNmwI/V6/6POansO9HrsuXLzN//nytchG5XnUvMzMzyczMVN/fv3+/0LmEEEIIIYQQQojiIDuERaEuXbpE165dqVixIubm5uqfa7+8u7N69erqf5crVw6A27dvA88fJJWbZMzl4+OTZy5HR0c1+ZPbz97eXk0GA1SpUgVLS0sSExMBGDZsGCEhITRr1ozPP//8lX/OfebMGbKzs3F1dcXU1FR97d27V6uvsbGxmgzOvabc63n48CFJSUn07t1ba4zPPvtMHSMxMZHq1aurpS8KuuYXJSYm4uvrq3XM19eXS5cukZ2dXWjfXI8fP9aa80UjR47k5MmTbN++HR0dHXr06IGiKOp5XV1dateurb6vXLmy1lqfOnWKyZMna11zaGgoqampPHr0qMCYMjIyGDFiBO7u7lhaWmJqakpiYuIb3SG8bNkyqlWrRp06dfKce3ndfXx8tK4pIyODUqVKaV3XlStXXvlZ2rlzJ02bNqV8+fKYmZnRvXt37ty5k2ctjIyMCl0fAA8PD0qU+L9/jsuWLasmYQF0dHQoVaqU1nfK09NTaze0r68vOTk5XLhwQWtcHR0d9f2Ln+PExER0dXW1vpulSpXCzc1NXZ9Bgwbx2Wef4evry8SJEzl9+nSh1/Fn/Pbbb4SGhuLi4oKFhQXm5uZkZGS88vPxZz6PhX0/AG7cuIG/vz8dO3YkNDQ0z/lX3cvp06djYWGhvl78t0sIIYQQQgghhHhXyA5hUaiAgAAcHR1ZunQptra25OTkULVqVa2HeQFapQdya4O+XFbiVV7+U/+iCA8Pp1u3bmzatIktW7YwceJE1qxZQ/v27fNtn5GRgY6ODvHx8VqJMkDrT+FfvB54fk25ydPcOq1Lly7Nk+h+ecy/W+nSpTlz5kyB50qXLo2rqyvu7u7Y29tz+PDhVyaqc2VkZDBp0iR1V/SLCkuyjRgxgh07dhAREYGzszNGRkb85z//yfMZ+rMePnzImjVr8jxIrygyMjIoV66cVg3pXC/Xx31RcnIybdq04eOPP2bq1KlYWVlx4MABevfuzdOnTzE2NlbbpqWlaf2iIz/5fd7yO/a636m/OkZISAh+fn5s2rSJ7du3M336dGbNmsXAgQMpUaKE1i8UgDw1qYsiKCiIO3fuEBkZiaOjIwYGBvj4+Lzy8/FnPo+FfT9u3rxJ48aNqV+/Pl999VW+bV51L8eMGcOwYcPU9/fv35eksBBCCCGEEEKId44khEWB7ty5w4ULF1i6dCnvvfceAAcOHHjtcdzd3Tly5IjWscOHDxep37Vr17h27ZqaVDl//jz37t2jSpUqajtXV1dcXV0ZOnQoXbt2JSoqivbt26Ovr59nZ62XlxfZ2dncvn1bvabXVbZsWWxtbfnvf/9LYGBggbGvXLmSJ0+eqMmpV12zu7s7cXFxWsfi4uJwdXUtcqLZy8uLRYsWoShKgQ/3gv9L1r/45+3Pnj3j+PHj6i7bCxcucO/ePdzd3QGoWbMmFy5cwNnZucBx9fT08qx5XFwcwcHBapI+IyOD5OTkIl1PUaxbt47MzEw++uijfM+/vO6HDx/WuqZbt26hq6ur9bCyF+X3OYqPjycnJ4dZs2apO3u///77PH2fPHlCUlISXl5er3tZhXJ3dyc6OpqHDx+qv0iJi4tTS04UdYxnz55x5MgRtWRE7nf+xe+Xvb09/fr1o1+/fowZM4alS5cycOBArK2tefDggVYMCQkJr30tcXFxLFy4kFatWgFw7do1/vjjD602+X2uivJ5fFlB348bN27QuHFjatWqRVRUlNZu7VxFuZcGBgZq6REhhBBCCCGEEOJdJQlhUaCSJUtSqlQpvvrqK8qVK0dKSopai/V1DBo0CF9fXyIiImjbti3btm3LUz84P82aNaNatWoEBgYyd+5cnj17Rv/+/WnYsCHe3t48fvyYkSNH8p///IcKFSpw/fp1jh07ptY9dnJyIiMjg127duHp6YmxsTGurq4EBgbSo0cPZs2ahZeXF7///ju7du2ievXqah3kV5k0aRKDBg3CwsICf39/MjMzOX78OHfv3mXYsGF069aNsWPHEhoaypgxY0hOTs63JumLhg8fTu3atZkyZQqdO3fm0KFDLFiwIE9N2sI0btyYjIwMzp07p9Z4PnLkCMeOHaNBgwaULFmSpKQkxo8fT6VKlbR2B+vp6TFw4EDmzZuHrq4uYWFh1KtXT00QT5gwgTZt2uDg4MB//vMfSpQowalTpzh79qz6kEAnJyd27dqFr68vBgYGlCxZEhcXFzZs2EBAQAAajYbx48cXaZdqbnIxIyOD33//nYSEBPT19bWSlfC8XES7du0oVapUvuPExcUxY8YM2rVrx44dO1i3bh2bNm0Cnn/GfHx8aNeuHTNmzMDV1ZWbN2+yadMm2rdvj7e3N05OTly5coWEhATs7OwwMzPD2dmZrKws5s+fT0BAAHFxcSxevDjP3IcPH1Z3vL5JgYGBTJw4kaCgIMLDw/n9998ZOHAg3bt3V+sHv4qLiwtt27YlNDSUJUuWYGZmxujRoylfvjxt27YFntdJbtmyJa6urty9e5fdu3eryfS6detibGzMp59+yqBBgzhy5MhrPQDxxThWrlyJt7c39+/fZ+TIkRgZGWm1ye9zVZTP48vy+37cuHGDRo0a4ejoSEREBL///rva/sWaxW/rXgoh3rzkz4v2/3IhhBBCCCH+ZylCFGLHjh2Ku7u7YmBgoFSvXl3Zs2ePAigxMTGKoijKlStXFEA5efKk2ufu3bsKoOzevVs9tmzZMsXOzk4xMjJSAgIClIiICMXCwkI9P3HiRMXT0zPP/FevXlU++OADxcTERDEzM1M6duyo3Lp1S1EURcnMzFS6dOmi2NvbK/r6+oqtra0SFhamPH78WO3fr18/pVSpUgqgTJw4UVEURXn69KkyYcIExcnJSdHT01PKlSuntG/fXjl9+rSiKIoSFRWlFZuiKEpMTIzy8tdl1apVSo0aNRR9fX2lZMmSyvvvv69s2LBBPX/o0CHF09NT0dfXV2rUqKGsX79ea612796tAMrdu3fVPj/88INSpUoVRU9PT3FwcFBmzpypNaejo6MyZ86cPOv0ok6dOimjR49W358+fVpp3LixYmVlpRgYGChOTk5Kv379lOvXr6ttcq95/fr1SsWKFRUDAwOlWbNmytWrV7XG3rp1q1K/fn3FyMhIMTc3V+rUqaN89dVX6vnY2FjF2dlZ0dXVVRwdHRVFef4Zady4sWJkZKTY29srCxYsUBo2bKgMHjxY7Tdx4kS1fS4gz+vlNr/++qsCKNu3b893LRwdHZVJkyYpHTt2VIyNjRUbGxslMjJSq839+/eVgQMHKra2toqenp5ib2+vBAYGKikpKYqiKMqTJ0+UDz/8ULG0tFQAJSoqSlEURZk9e7ZSrlw5xcjISPHz81NWrFiR53726dNH6du3b76x5QoKClLatm2rdezl9cm9lhfvfe59NTQ0VKysrJTQ0FDlwYMHhY47ePBgpWHDhur7tLQ0pXv37oqFhYV6HRcvXlTPh4WFKZUqVVIMDAwUa2trpXv37soff/yhno+JiVGcnZ0VIyMjpU2bNspXX32l9T15+Xud3/foxIkTire3t2JoaKi4uLgo69aty3Ot+X2uFOXVn8f8vPz9iIqKyvez9nKcRbmXL0tPT1cAJT09/bX6CSGEEEIIIYQQf0ZRfw7VKMpLRSCFEP9op0+fpnnz5iQlJWnVRX6XBQUFodFo/tQO03fVH3/8gZubG8ePH6dChQrFHY74//7M9+PP3sv79+9jYWFBeno65ubmfzZkIYQQQgghhBCiSIr6c2jeQolCiH+06tWr88UXX3DlypXiDqVIFEVhz549TJkypbhDeaOSk5NZuHChJIPfMX/m+yH3UgghhBBCCCHEv4nsEBZCCCHeAtkhLIQQQgghhBDi7yQ7hIUQ4n+QRqNh48aNxR2GEEIIIYQQQggh3lGSEBZCiL9g+vTp1K5dGzMzM8qUKUO7du24cOFCscWTmppKy5Yti23+/DRq1IghQ4YUdxgFetfjE0IIIYQQQggh3iTd4g5ACCH+yfbu3cuAAQOoXbs2z54949NPP6VFixacP38eExOTvz0eGxubv31OIYQQ/xxOozcVdwhCvFLy562LOwQhhBDiX012CAshxF+wdetWgoOD8fDwwNPTk+joaFJSUoiPjy+036hRo3B1dcXY2JiKFSsyfvx4srKy1PPh4eHUqFGDb775BgcHB0xNTenfvz/Z2dnMmDEDGxsbypQpw9SpU7XGfbFkRHJyMhqNhg0bNtC4cWOMjY3x9PTk0KFDWn3Wr1+Ph4cHBgYGODk5MWvWLK3zd+/epUePHpQsWRJjY2NatmzJpUuXtNrExcXRqFEjjI2NKVmyJH5+fty9e5fg4GD27t1LZGQkGo0GjUZDcnIy2dnZ9O7dmwoVKmBkZISbmxuRkZFaYwYHB9OuXTsiIiIoV64cpUqVYsCAAVrr9KrY7ty5Q9euXSlfvjzGxsZUq1aN7777TmuO/OIDOHv2LC1btsTU1JSyZcvSvXt3/vjjj0LvqxBCCCGEEEII8a6ThLAQQrxB6enpAFhZWRXazszMjOjoaM6fP09kZCRLly5lzpw5Wm2SkpLYsmULW7du5bvvvmPZsmW0bt2a69evs3fvXr744gvGjRvHkSNHCp1r7NixjBgxgoSEBFxdXenatSvPnj0DID4+nk6dOtGlSxfOnDlDeHg448ePJzo6Wu0fHBzM8ePHiY2N5dChQyiKQqtWrdTEbEJCAk2bNqVKlSocOnSIAwcOEBAQQHZ2NpGRkfj4+BAaGkpqaiqpqanY29uTk5ODnZ0d69at4/z580yYMIFPP/2U77//Xiv23bt3k5SUxO7du1m+fDnR0dGvFduTJ0+oVasWmzZt4uzZs/Tp04fu3btz9OhRgALju3fvHk2aNMHLy4vjx4+zdetWfvvtNzp16lToWgshhBBCCCGEEO86jaIoSnEHIYQQ/wY5OTl88MEH3Lt3jwMHDrxW34iICNasWcPx48eB5zuEZ86cya1btzAzMwPA39+fCxcukJSURIkSz3+fV7lyZYKDgxk9ejTwfIdwTEwM7dq1Izk5mQoVKvD111/Tu3dvAM6fP4+HhweJiYlUrlyZwMBAfv/9d7Zv367G8sknn7Bp0ybOnTvHpUuXcHV1JS4ujvr16wPPd93a29uzfPlyOnbsSLdu3UhJSSnwmhs1akSNGjWYO3duoWsQFhbGrVu3+OGHH4Dnyd49e/aQlJSEjo4OAJ06daJEiRKsWbOmSLHlp02bNlSuXJmIiIgC4/vss8/Yv38/27ZtU49dv34de3t7Lly4gKura55xMzMzyczMVN/fv38fe3v7Vz7dVQgh/k5SMkL8E0jJCCGEEOLPuX//PhYWFq/8OVR2CAshxBsyYMAAzp49y5o1a9Rj/fr1w9TUVH3lWrt2Lb6+vtjY2GBqasq4ceNISUnRGs/JyUlNBgOULVuWKlWqqMng3GO3b98uNK7q1aur/12uXDkAtU9iYiK+vr5a7X19fbl06RLZ2dkkJiaiq6tL3bp11fOlSpXCzc2NxMRE4P92CL+uL7/8klq1amFtbY2pqSlfffVVnjXw8PBQk8G58b8Y+6tiy87OZsqUKVSrVg0rKytMTU3Ztm1bnnledurUKXbv3q117ypXrgw837mdn+nTp2NhYaG+7O3tX3tNhBBCCCGEEEKIt00SwkII8QaEhYXx888/s3v3buzs7NTjkydPJiEhQX0BHDp0iMDAQFq1asXPP//MyZMnGTt2LE+fPtUaU09PT+u9RqPJ91hOTk6hsb3YR6PRALyyz+swMjJ67T5r1qxhxIgR9O7dm+3bt5OQkEDPnj2LtAavE/vMmTOJjIxk1KhR7N69m4SEBPz8/PLM87KMjAwCAgK07l1CQgKXLl3i/fffz7fPmDFjSE9PV1/Xrl0rcpxCCCGEEEIIIcTfRbe4AxBCiH8yRVEYOHAgMTEx7NmzhwoVKmidL1OmDGXKlNE6dvDgQRwdHRk7dqx67OrVq39LvC9zd3cnLi5O61hcXByurq7o6Ojg7u7Os2fPOHLkiFZZhgsXLlClShXg+Q7kXbt2MWnSpHzn0NfXJzs7O88c9evXp3///uqxgnbeFhb7q2KLi4ujbdu2fPTRR8DzRPjFixfV8wXFV7NmTdavX4+TkxO6ukX7X6WBgQEGBgavdQ1CCCGEEEIIIcTfTRLCQgjxFwwYMIDVq1fz448/YmZmxq1btwCwsLAocOesi4sLKSkprFmzhtq1a7Np0yZiYmL+zrBVw4cPp3bt2kyZMoXOnTtz6NAhFixYwMKFC9VY27ZtS2hoKEuWLMHMzIzRo0dTvnx52rZtCzzfGVutWjX69+9Pv3790NfXZ/fu3XTs2JHSpUvj5OTEkSNHSE5OxtTUFCsrK1xcXFixYgXbtm2jQoUKrFy5kmPHjuVJqBemKLG5uLjwww8/cPDgQUqWLMns2bP57bfftBLC+cU3YMAAli5dSteuXfnkk0+wsrLi8uXLrFmzhq+//lqrjIUQQvyTSG1WIYQQQgghJSOEEOIvWLRoEenp6TRq1Ihy5cqpr7Vr1xbY54MPPmDo0KGEhYVRo0YNDh48yPjx4//GqP9PzZo1+f7771mzZg1Vq1ZlwoQJTJ48meDgYLVNVFQUtWrVok2bNvj4+KAoCps3b1bLObi6urJ9+3ZOnTpFnTp18PHx4ccff1R31o4YMQIdHR2qVKmCtbU1KSkp9O3blw4dOtC5c2fq1q3LnTt3tHYLF9WrYhs3bhw1a9bEz8+PRo0aYWNjQ7t27bTGyC8+W1tb4uLiyM7OpkWLFlSrVo0hQ4ZgaWmpVcNZCCGEEEIIIYT4p9EoiqIUdxBCCCHEv01Rn+4qhBBCCCGEEEK8CUX9OVS2OQkhhBBCCCGEEEIIIcT/CEkICyGEEEIIIYQQQgghxP8ISQgL8S+1Z88eNBoN9+7d+0eMK/48jUbDxo0bizuMfL0YW3JyMhqNhoSEhDcydnR0NJaWllrHvvrqK+zt7SlRogRz5859I/MIIYQQQgghhBD/JpIQFqKYTZ8+ndq1a2NmZkaZMmVo164dFy5c0Grz1Vdf0ahRI8zNzSUZK/6x7O3tSU1NpWrVqm9l/Pv37xMWFsaoUaO4ceMGffr0KVI/JycnSR4LIYQQQgghhPifoVvcAQjxv27v3r0MGDCA2rVr8+zZMz799FNatGjB+fPnMTExAeDRo0f4+/vj7+/PmDFjijniwmVnZ6PRaChR4t37fdO7HNv/Ah0dHWxsbN7a+CkpKWRlZdG6dWvKlSv31uYRQoh/MqfRm4o7BPGC5M9bF3cIQgghhPgfJFkRIYrZ1q1bCQ4OxsPDA09PT6Kjo0lJSSE+Pl5tM2TIEEaPHk29evVee/z4+Hi8vb0xNjamfv366u7j5ORkSpQowfHjx7Xaz507F0dHR3JycgDYvHkzrq6uGBkZ0bhxY5KTk7Xa5/7ZfmxsLFWqVMHAwICUlBTu3r1Ljx49KFmyJMbGxrRs2ZJLly4B8Pvvv2NjY8O0adPUcQ4ePIi+vj67du0qUmy5pSs2bdpE9erVMTQ0pF69epw9e/aVsWVmZjJixAjKly+PiYkJdevWZc+ePVpzLV26FHt7e4yNjWnfvj2zZ8/WKk8QHh5OjRo1WLlyJU5OTlhYWNClSxcePHigtsnJyWH69OlUqFABIyMjPD09+eGHH9Tzudewa9eufO9RrkWLFlGpUiX09fVxc3Nj5cqVhd1yzpw5Q5MmTTAyMqJUqVL06dOHjIwM9XxwcDDt2rUjIiKCcuXKUapUKQYMGEBWVpbapihr9LJLly7x/vvvY2hoSJUqVdixY4fW+ZdLRty9e5fAwECsra0xMjLCxcWFqKgorbV5cTd8QkICGo0mz2cQnt/ratWqAVCxYkW1XVJSEm3btqVs2bKYmppSu3Ztdu7cqfZr1KgRV69eZejQoWg0GjQajXruwIEDvPfeexgZGWFvb8+gQYN4+PBhoWsghBBCCCGEEEK86yQhLMQ7Jj09HQArK6s3Mt7YsWOZNWsWx48fR1dXl169egHP/0y+WbNmagIuV1RUFMHBwZQoUYJr167RoUMHAgICSEhIICQkhNGjR+eZ49GjR3zxxRd8/fXXnDt3jjJlyhAcHMzx48eJjY3l0KFDKIpCq1atyMrKwtramm+++Ybw8HCOHz/OgwcP6N69O2FhYTRt2rRIseUaOXIks2bN4tixY1hbWxMQEKCV2MwvtrCwMA4dOsSaNWs4ffo0HTt2xN/fX01Yx8XF0a9fPwYPHkxCQgLNmzdn6tSpea47KSmJjRs38vPPP/Pzzz+zd+9ePv/8c/X89OnTWbFiBYsXL+bcuXMMHTqUjz76iL179xbpHgHExMQwePBghg8fztmzZ+nbty89e/Zk9+7d+d7vhw8f4ufnR8mSJTl27Bjr1q1j586dhIWFabXbvXs3SUlJ7N69m+XLlxMdHU10dLR6/lVr9LKcnBw6dOiAvr4+R44cYfHixYwaNSrftrnGjx/P+fPn2bJlC4mJiSxatIjSpUsX2qcgnTt3VhO9R48eJTU1FXt7ezIyMmjVqhW7du3i5MmT+Pv7ExAQQEpKCgAbNmzAzs6OyZMnk5qaSmpqKvD83vr7+/Phhx9y+vRp1q5dy4EDB/Ks44syMzO5f/++1ksIIYQQQgghhHjXSMkIId4hOTk5DBkyBF9f3zdWZ3Xq1Kk0bNgQgNGjR9O6dWuePHmCoaEhISEh9OvXj9mzZ2NgYMCJEyc4c+YMP/74I/B/O1NnzZoFgJubG2fOnOGLL77QmiMrK4uFCxfi6ekJPN8pGhsbS1xcHPXr1wdg1apV2Nvbs3HjRjp27EirVq0IDQ0lMDAQb29vTExMmD59ujrmq2LLNXHiRJo3bw7A8uXLsbOzIyYmhk6dOuUbW0pKClFRUaSkpGBrawvAiBEj2Lp1K1FRUUybNo358+fTsmVLRowYAYCrqysHDx7k559/1po7JyeH6OhozMzMAOjevTu7du1i6tSpZGZmMm3aNHbu3ImPjw/wfOfqgQMHWLJkiXpPXnWPIiIiCA4Opn///gAMGzaMw4cPExERQePGjfPc79WrV/PkyRNWrFihlhxZsGABAQEBfPHFF5QtWxaAkiVLsmDBAnR0dKhcuTKtW7dm165dhIaGFmmNXrZz505+/fVXtm3bpvaZNm0aLVu2zNM2V0pKCl5eXnh7ewPPf0nxZ+XuhgawtrZWS1N4enqq9x5gypQpxMTEEBsbS1hYGFZWVujo6GBmZqZVzmL69OkEBgYyZMgQAFxcXJg3bx4NGzZk0aJFGBoa5olh+vTpTJo06U9fgxBCCCGEEEII8XeQHcJCvEMGDBjA2bNnWbNmzWv1a9myJaamppiamuLh4aF1rnr16up/59ZVvX37NgDt2rVDR0eHmJgY4Pmf3Tdu3FhNzCUmJlK3bl2t8XKTmy/S19fXmicxMRFdXV2tvqVKlcLNzY3ExET1WEREBM+ePWPdunWsWrUKAwMD9dyrYssvHisrqzxzvBzbmTNnyM7OxtXVVV0zU1NT9u7dS1JSEgAXLlygTp06WvO8/B6eJzBzk8HwfH1z1/by5cs8evSI5s2ba82zYsUKdZ5chd2jxMREfH19tdr7+vpqXeOLEhMT8fT0VJPBue1zcnK0SlF4eHigo6OTb+xFWaP85rW3t1eTwZD/Z+VFH3/8MWvWrKFGjRp88sknHDx4sND2f0ZGRgYjRozA3d0dS0tLTE1NSUxMVHcIF+TUqVNER0drXb+fnx85OTlcuXIl3z5jxowhPT1dfV27du2NX48QQgghhBBCCPFXyQ5hId4RYWFh/Pzzz+zbtw87O7vX6vv111/z+PFjAPT09LTOvfg+tz5qbn1gfX19evToQVRUFB06dGD16tVERka+duxGRkZatVeLKikpiZs3b5KTk0NycrJaA/ZtxpaRkYGOjg7x8fFaCVEAU1PT1xr75bXWaDTq2ubW7N20aRPly5fXavdi4vvlcV6+R2/Lq2J/U2tUmJYtW3L16lU2b97Mjh07aNq0KQMGDCAiIkItC6Ioitr+xVIgRTVixAh27NhBREQEzs7OGBkZ8Z///IenT58W2i8jI4O+ffsyaNCgPOccHBzy7WNgYJDn3gohhBBCCCGEEO8aSQgLUcwURWHgwIHExMSwZ88eKlSo8NpjvJxwfB0hISFUrVqVhQsX8uzZMzp06KCec3d3JzY2Vqv94cOHXzmmu7s7z54948iRI2rJiDt37nDhwgWqVKkCwNOnT/noo4/o3Lkzbm5uhISEcObMGcqUKVOk2F6MJzdBd/fuXS5evIi7u3uBsXl5eZGdnc3t27d577338m3j5ubGsWPHtI69/P5VXnyI3YvlIV6Xu7s7cXFxBAUFqcfi4uLUdcyvfXR0NA8fPlR3CcfFxVGiRAnc3NyKNGdR1ii/ea9du0Zqaqq6y7konxVra2uCgoIICgrivffeY+TIkURERGBtbQ1AamoqJUuWBFAfRvc64uLiCA4Opn379sDzRO/LD6XT19cnOztb61jNmjU5f/48zs7Orz2nEEIIIYQQQgjxLpOEsBDFbMCAAaxevZoff/wRMzMzbt26BYCFhQVGRkYA3Lp1i1u3bnH58mXg+Z/0m5mZ4eDg8JcfPufu7k69evUYNWoUvXr1UucE6NevH7NmzWLkyJGEhIQQHx+v9eCxgri4uNC2bVtCQ0NZsmQJZmZmjB49mvLly9O2bVvg+YPU0tPTmTdvHqampmzevJlevXpp1ektLLZckydPplSpUpQtW5axY8dSunRp2rVrV2Bsrq6uBAYG0qNHD2bNmoWXlxe///47u3btonr16rRu3ZqBAwfy/vvvM3v2bAICAvjll1/YsmXLa+2CNjMzY8SIEQwdOpScnBwaNGhAeno6cXFxmJubayV4CzNy5Eg6deqEl5cXzZo146effmLDhg3qA9ReFhgYyMSJEwkKCiI8PJzff/+dgQMH0r17d7V+8KsUZY1e1qxZM1xdXQkKCmLmzJncv3+fsWPHFjrPhAkTqFWrFh4eHmRmZvLzzz+ryXxnZ2fs7e0JDw9n6tSpXLx4Ua1l/TpcXFzYsGEDAQEBaDQaxo8fn2f3tZOTE/v27aNLly4YGBhQunRpRo0aRb169QgLCyMkJAQTExPOnz/Pjh07WLBgwWvHIYQQ74rkz/P+Gy6EEEIIIf63SA1hIYrZokWLSE9Pp1GjRpQrV059rV27Vm2zePFivLy8CA0NBeD999/Hy8srz+7dP6t37948ffqUXr16aR13cHBg/fr1bNy4EU9PTxYvXpzvA8XyExUVRa1atWjTpg0+Pj4oisLmzZvR09Njz549zJ07l5UrV2Jubk6JEiVYuXIl+/fvZ9GiRUWKLdfnn3/O4MGDqVWrFrdu3eKnn35CX1//lbH16NGD4cOH4+bmRrt27Th27Ji609jX15fFixcze/ZsPD092bp1K0OHDs33QWKFmTJlCuPHj2f69Om4u7vj7+/Ppk2bXmsXeLt27YiMjCQiIgIPDw+WLFlCVFQUjRo1yre9sbEx27ZtIy0tjdq1a/Of//yHpk2bvnYS81Vr9LISJUoQExPD48ePqVOnDiEhIUydOrXQOfT19RkzZgzVq1fn/fffR0dHR62fraenx3fffcevv/5K9erV+eKLL/jss89e6xoAZs+eTcmSJalfvz4BAQH4+flRs2ZNrTaTJ08mOTmZSpUqqTuTq1evzt69e7l48SLvvfceXl5eTJgwQatGshBCCCGEEEII8U+kUV4s0CiE+J80ZcoU1q1bx+nTp4s7lDwKim3Pnj00btyYu3fvYmlp+dbjCA0N5ddff2X//v1vfS7x73D//n0sLCxIT0/H3Ny8uMMRQgghhBBCCPEvV9SfQ6VkhBD/w3LrqS5YsOBP7b58m4o7toiICJo3b46JiQlbtmxh+fLlLFy48G+PQwghhBBCCCGEEOJNkpIRQvwPCwsLo1atWjRq1KjAkgzFpbhjO3r0KM2bN6datWosXryYefPmERIS8rfHIYQQQgghhBBCCPEmSckIIcRbp9FoiImJKfRhb2+Lk5MTQ4YMYciQIX/bnI0aNaJGjRrMnTv3b5uzKHbt2kVYWBhnz55FR0enuMN5pyxevJhNmzbx008/vbExpWSEEEIIIYQQQoi/U1F/DpUdwkK8Rfv27SMgIABbW1s0Gg0bN278y2M6OTm9c4nGv+rUqVN07doVe3t7jIyMcHd3JzIysrjDeuuePn3KzJkzqVmzJiYmJlhYWODp6cm4ceO4efOm2i44OBiNRoNGo0FfXx9nZ2cmT57Ms2fPgOf1lDUaDffu3St0vk8++YRx48apyeDU1FS6deuGq6srJUqUKDBpPnfuXNzc3DAyMsLe3p6hQ4fy5MmTQudKS0sjMDAQc3NzLC0t6d27NxkZGXna7d27F3t7e6Bo35eMjAzCwsKws7PDyMiIKlWqsHjx4kJjefLkCcHBwVSrVg1dXd18fzHRq1cvTpw4kW+N6D179hAeHl7oHEIIIYQQQgghxD+F1BAW4i16+PAhnp6e9OrViw4dOhR3OK9FURSys7PR1X37/0zEx8dTpkwZvv32W+zt7Tl48CB9+vRBR0eHsLCwtz5/ccjMzKRFixacPn2aSZMm4evri7W1NVeuXOG7775j/vz5TJ8+XW3v7+9PVFQUmZmZbN68mQEDBqCnp8eYMWOKNN+BAwdISkriww8/1IrB2tqacePGMWfOnHz7rV69mtGjR/PNN99Qv359Ll68qCaoZ8+eXeB8gYGBpKamsmPHDrKysujZsyd9+vRh9erVWu1+/PFHAgICgKJ9X4YNG8Yvv/zCt99+i5OTE9u3b6d///7Y2trywQcf5NsnOzsbIyMjBg0axPr16/Nto6+vT7du3Zg3bx7vvfce8HzX8ItxPH36lPnz5zNo0CD09PQKvHYhhHiXOY3eVGxzJ3/eutjmFkIIIYQQ/0d2CAvxFrVs2ZLPPvuM9u3bF7mPoiiEh4fj4OCAgYEBtra2DBo0CHheiuDq1asMHTpU3TGa68CBA7z33nvqLs5Bgwbx8OFD9fzKlSvx9vbGzMwMGxsbunXrxu3bt9XzubtMt2zZQq1atTAwMODAgQNkZmYyaNAgypQpg6GhIQ0aNODYsWNqrM7OzkRERGhdQ0JCAhqNhsuXLxfpmnv16kVkZCQNGzakYsWKfPTRR/Ts2ZMNGza8su/69evx8PDAwMAAJycnZs2aVWj7e/fuERISgrW1Nebm5jRp0oRTp05ptVm0aBGVKlVCX18fNzc3Vq5cqRVrmzZttNpnZWVRpkwZli1bVqTrBZgzZw4HDhzgl19+YdCgQdSqVQsHBwcaNmzI4sWLmTZtmlZ7AwMDbGxscHR05OOPP6ZZs2bExsYWeb41a9bQvHlzDA0N1WNOTk5ERkbSo0cPLCws8u138OBBfH196datG05OTrRo0YKuXbty9OjRAudKTExk69atfP3119StW5cGDRowf/581qxZo7XzGSA2NlZN5Bbl+3Lw4EGCgoJo1KgRTk5O9OnTB09Pz0LjMTExYdGiRYSGhmJjY1Ngu4CAAGJjY3n8+DEA9vb2fPDBB8TExHDu3DmaNGkCoPW9E0IIIYQQQggh/mkkISzEO2b9+vXMmTOHJUuWcOnSJTZu3Ei1atUA2LBhA3Z2dkyePJnU1FRSU1MBSEpKwt/fnw8//JDTp0+zdu1aDhw4oLW7NisriylTpnDq1Ck2btxIcnIywcHBeeYfPXo0n3/+OYmJiVSvXp1PPvmE9evXs3z5ck6cOIGzszN+fn6kpaWh0Wjo1asXUVFRWmNERUXx/vvv4+zs/KfXIT09HSsrq0LbxMfH06lTJ7p06cKZM2cIDw9n/PjxREdHF9inY8eO3L59my1bthAfH0/NmjVp2rQpaWlpAMTExDB48GCGDx/O2bNn6du3Lz179mT37t0AhISEsHXrVnXtAX7++WcePXpE586di3x93333Hc2bN8fLyyvf869KOhoZGfH06dMiz7d//368vb2L3D5X/fr1iY+PVxOu//3vf9m8eTOtWrVS20RHR2vFe+jQISwtLbXma9asGSVKlODIkSPqsXPnznH79m010VrUeGJjY7lx4waKorB7924uXrxIixYt1DbBwcE0atTota/V29ubZ8+eqTG2bt2abdu2sX37djZv3sz8+fMZPnx4gbvmMzMzuX//vtZLCCGEEEIIIYR410hCWIh3TEpKCjY2NjRr1gwHBwfq1KlDaGgoAFZWVujo6Ki7fHN3O06fPp3AwECGDBmCi4sL9evXZ968eaxYsUKt9dqrVy9atmxJxYoVqVevHvPmzWPLli156rpOnjyZ5s2bU6lSJQwMDFi0aBEzZ86kZcuWVKlShaVLl2JkZKTuhg0ODubChQtqwjArK4vVq1fTq1evP70GBw8eZO3atfTp06fQdrNnz6Zp06aMHz8eV1dXgoODCQsLY+bMmfm2P3DgAEePHmXdunV4e3vj4uJCREQElpaW/PDDDwBEREQQHBxM//79cXV1ZdiwYXTo0EHdBV2/fv08u4ajoqLo2LEjpqamRb7Gixcv4ubmpnWsffv2mJqaYmpqSv369fPtpygKO3fuZNu2ba+VSL169Sq2trZFbp+rW7duTJ48mQYNGqCnp0elSpVo1KgRn376qdrGwsJC61pu3bpFmTJltMbR1dXFysqKW7duqcd+/PFH/Pz80NfXL3I88+fPp0qVKtjZ2aGvr4+/vz9ffvkl77//vtqmXLlyODg4vPa1GhsbY2FhwdWrVwHYunUr/v7+tGjRglatWjFo0CAiIyPJzs7Ot//06dOxsLBQX7m1kYUQQgghhBBCiHeJJISFKEbTpk1TE4CmpqakpKTQsWNHHj9+TMWKFQkNDSUmJkZ9eFhBTp06RXR0tNZYfn5+5OTkcOXKFeD5btqAgAAcHBwwMzOjYcOGwPME9Ite3NWZlJREVlYWvr6+6jE9PT3q1KlDYmIiALa2trRu3ZpvvvkGgJ9++onMzEw6duyYb6wtW7ZUY/Tw8Mhz/uzZs7Rt25aJEyequz5TUlK0ri23nEJiYqJWbAC+vr5cunQp36TdqVOnyMjIoFSpUlrjXblyhaSkpELHzL1eeL5LOHdX9G+//caWLVsKTIDnd48LsnDhQhISEujVqxePHj3SOvfzzz9jamqKoaEhLVu2pHPnzq/1oLPHjx9rlYsoqj179jBt2jQWLlzIiRMn2LBhA5s2bWLKlClqm/bt2/Prr7++9tg//vhjgXV/CzJ//nwOHz5MbGws8fHxzJo1iwEDBrBz5061zfTp01mxYsVrxwPPd17nrv2VK1f48ccfad++PR4eHuzatYusrCxycnLy7TtmzBjS09PV17Vr1/5UDEIIIYQQQgghxNskD5UTohj169ePTp06qe9tbW3R1dXlwoUL7Ny5kx07dtC/f39mzpzJ3r17C3yQVUZGBn379lVrDb/IwcGBhw8f4ufnh5+fH6tWrcLa2pqUlBT8/PzylB0wMTF57esICQmhe/fuzJkzh6ioKDp37oyxsXG+bb/++mu1RuvL13P+/HmaNm1Knz59GDdunHrc1taWhIQE9f2rSkkUJCMjg3LlyrFnz5485ywtLYs8To8ePRg9ejSHDh3i4MGDVKhQQX0Q2cvyu8cALi4uXLhwQattuXLlgPyvr3HjxixatAh9fX31c/I6Spcuzd27d1+rD8D48ePp3r07ISEhAFSrVo2HDx/Sp08fxo4dS4kSeX+vaGNjo1WfGuDZs2ekpaWpu9pTU1M5efIkrVsX/QFDjx8/5tNPPyUmJkbtV716dRISEoiIiKBZs2avfX0vS0tLw9raGoCPP/4YeP65hOcPnhsxYkSBfQ0MDDAwMPjLMQghhBBCCCGEEG+TJISFKEZWVlb5Jv+MjIwICAggICCAAQMGULlyZc6cOUPNmjXR19fPs/u1Zs2anD9/vsCavWfOnOHOnTt8/vnn6p+xHz9+/JXx5T5YLS4uDkdHR+B5SYhjx44xZMgQtV2rVq3UB3dt3bqVffv2FThm+fLl8z2e+9CuoKAgpk6dqnVOV1c332tzd3cnLi5O61hcXByurq7o6OjkaV+zZk1u3bqFrq4uTk5O+caRO2ZQUJDWmFWqVFHflypVinbt2hEVFcWhQ4fo2bNngddb0D3u2rUr48aN4+TJkwXWEX6RiYnJX6rJ7OXlpSY2X8ejR4/yJH1z11ZRlHz7+Pj4cO/ePeLj46lVqxYAv/zyCzk5OdStWxd4vpO8fv36r5Xcz8rKIisrK994Ctq1+zqSkpJ48uRJnvvRqFGjP1WTWAghhBBCCCGEeBdJQliItygjI4PLly+r769cuUJCQgJWVlYF1jiNjo4mOzubunXrYmxszLfffouRkZGakHVycmLfvn106dIFAwMDSpcuzahRo6hXrx5hYWGEhIRgYmLC+fPn2bFjBwsWLMDBwQF9fX3mz59Pv379OHv2rNaf/BfExMSEjz/+mJEjR6oxz5gxg0ePHtG7d2+1nY6ODsHBwYwZMwYXFxd8fHxea53Onj1LkyZN8PPzY9iwYWqdWR0dHXW3Zn6GDx9O7dq1mTJlCp07d+bQoUMsWLCAhQsX5tu+WbNm+Pj40K5dO2bMmIGrqys3b95k06ZNtG/fHm9vb0aOHEmnTp3w8vKiWbNm/PTTT2zYsEGrJAE83xXdpk0bsrOztZLHRTV06FA2bdpE06ZNmThxIu+99x4lS5bk4sWLbNmyJd+E9l/h5+fH8uXL8xzP3XmdkZHB77//TkJCAvr6+moCPCAggNmzZ+Pl5UXdunW5fPky48ePJyAgQI0xJiaGMWPGqGUj3N3d8ff3JzQ0lMWLF5OVlUVYWBhdunRRd0jHxsbmKRfxqu+Lubk5DRs2ZOTIkep3Yu/evaxYsYLZs2er/caMGcONGze0ykacP3+ep0+fkpaWxoMHD9TrrlGjhtpm//79VKxYkUqVKv3JVRZCiHdf8udF/8sMIYQQQgjxL6UIId6a3bt3K0CeV1BQUIF9YmJilLp16yrm5uaKiYmJUq9ePWXnzp3q+UOHDinVq1dXDAwMlBe/wkePHlWaN2+umJqaKiYmJkr16tWVqVOnqudXr16tODk5KQYGBoqPj48SGxurAMrJkye1Yr17965WPI8fP1YGDhyolC5dWjEwMFB8fX2Vo0eP5ok7KSlJAZQZM2bkOQcoMTExBV7zxIkT810nR0fHAvvk+uGHH5QqVaooenp6ioODgzJz5kyt846OjsqcOXPU9/fv31cGDhyo2NraKnp6eoq9vb0SGBiopKSkqG0WLlyoVKxYUdHT01NcXV2VFStW5Jk3JydHcXR0VFq1apXnXMOGDZXBgwe/MvYnT54on3/+ueLp6akYGRkpBgYGSuXKlZWhQ4dqxRMUFKS0bdu2wHEKuncvunPnjmJoaKj8+uuvWsdfte5ZWVlKeHi4UqlSJcXQ0FCxt7dX+vfvrzVXVFSU8vL/Tu7cuaN07dpVMTU1VczNzZWePXsqDx48UBRFUTIyMhRDQ0Pl0qVL+V5HYd+X1NRUJTg4WLG1tVUMDQ0VNzc3ZdasWUpOTo7WejVs2FBrbEdHx3zHflGLFi2U6dOnF7iGrys9PV0BlPT09Dc2phBCCCGEEEIIUZCi/hyqUZQC/uZXCCFew/79+2natCnXrl2jbNmyxR3OW5eRkUH58uWJioqiQ4cOxR1OkYwcOZL79++zZMmSYo1jw4YNjBs37k+VsHhbckuWXLx4EQsLizcy5v3797GwsCA9PR1zc/M3MqYQQgghhBBCCFGQov4cmvdpQEII8RoyMzO5fv064eHhdOzY8V+fDM7JyeH27dtMmTIFS0vLPGUP3mVjx47F0dHxjdTb/StMTU354osvijWGl6WmprJixYo3lgwWQgghhBBCCCHeVbJDWAjxl0RHR9O7d29q1KhBbGxsgQ+N+7dITk6mQoUK2NnZER0dTdOmTYs7JPGOkh3CQgghhBBCCCH+TrJDWIh/KY1Gw8aNG4s7DFVwcDDZ2dnEx8f/6WTwq65pz549aDQa7t27V2Cb6OhoLC0t/9T8r8PJyQlFUbh27VqRksHh4eFaDy57l+3atQt3d3eys7OLO5R3Tr169Vi/fn1xhyGEEEIIIYQQQvxlkhAW/xj79u0jICAAW1vbN5YUdXJyYu7cuX95nHfJqVOn6Nq1K/b29hgZGeHu7k5kZGRxh/WX1K9fn9TU1H/9n/OvX7+eJk2aULJkSYyMjHBzc6NXr16cPHlSbRMdHY1Go0Gj0VCiRAns7Ozo2bMnt2/fVtvs3buXJk2aYGVlhbGxMS4uLgQFBfH06dNC5//kk08YN24cOjo6wPMyCt26dcPV1ZUSJUowZMiQfPvNnTsXNzc3jIyMsLe3Z+jQoTx58qTQudLS0ggMDMTc3BxLS0t69+5NRkZGnnZ79+7F3t4egOnTp1O7dm3MzMwoU6YM7dq148KFC1rtnzx5woABAyhVqhSmpqZ8+OGH/Pbbb4XG8qI1a9ag0Who166d1vFx48YxevToYi+3IYQQQgghhBBC/FW6xR2AEEX18OFDPD096dWr1z/mIV65FEUhOzsbXd23/5WLj4+nTJkyfPvtt9jb23Pw4EH69OmDjo4OYWFhb3SurKws9PT03uiY+dHX18fGxuatz1OcRo0axaxZsxg0aBCTJk3C0dGR33//nS1btjBmzBi2bt2qtjU3N+fChQvk5ORw6tQpevbsyc2bN9m2bRvnz5/H39+fgQMHMm/ePIyMjLh06RLr168vdOfvgQMHSEpK4sMPP1SPZWZmYm1tzbhx45gzZ06+/VavXs3o0aP55ptvqF+/PhcvXiQ4OBiNRsPs2bMLnC8wMJDU1FR27NhBVlYWPXv2pE+fPqxevVqr3Y8//khAQADwPDk8YMAAateuzbNnz/j0009p0aIF58+fx8TEBIChQ4eyadMm1q1bh4WFBWFhYXTo0IG4uLhX3oPk5GRGjBjBe++9l+dcy5YtCQkJYcuWLbRu3fqVYwkhnnMavam4QxAvSf5c/g0TQgghhPhfJzuExT9Gy5Yt+eyzz2jfvn2R+yiKQnh4OA4ODhgYGGBra8ugQYMAaNSoEVevXmXo0KHqjstcBw4c4L333lN3PA4aNIiHDx+q51euXIm3tzdmZmbY2NjQrVs3rR2auSUOtmzZQq1atTAwMODAgQNkZmYyaNAgypQpg6GhIQ0aNODYsWNqrM7OzkRERGhdQ0JCAhqNhsuXLxfpmnv16kVkZCQNGzakYsWKfPTRR/Ts2ZMNGzYU2u/YsWM0b96c0qVLY2FhQcOGDTlx4oRWG41Gw6JFi/jggw8wMTFh6tSpZGdn07t3bypUqKDuas1vR/I333yDh4cHBgYGlCtXLk9y+o8//qB9+/bqjtbY2Ng86/liyYjo6GgcHBwwNjamffv23LlzJ8+cixYtolKlSujr6+Pm5sbKlSvzXM/XX39d4LzwPAlZp04dNe7Ro0fz7NkzAFasWEGpUqXIzMzU6tOuXTu6d+9eyGprO3z4MDNmzGD27NnMnj2b9957DwcHB2rVqsW4cePYsmVLnrhtbGywtbWlZcuWDBo0iJ07d/L48WO2b9+OjY0NM2bMoGrVqlSqVAl/f3+WLl2KkZFRgTGsWbOG5s2bY2hoqB5zcnIiMjKSHj16FLg7++DBg/j6+tKtWzecnJxo0aIFXbt25ejRowXOlZiYyNatW/n666+pW7cuDRo0YP78+axZs4abN29qtY2NjVUf3Ld161aCg4Px8PDA09OT6OhoUlJSiI+PByA9PZ1ly5Yxe/ZsmjRpQq1atYiKiuLgwYMcPny40HuQnZ1NYGAgkyZNomLFinnO6+jo0KpVK9asWVPoOEIIIYQQQgghxLtOEsLiX239+vXMmTOHJUuWcOnSJTZu3Ei1atUA2LBhA3Z2dkyePJnU1FRSU1MBSEpKwt/fnw8//JDTp0+zdu1aDhw4oJXAzMrKYsqUKZw6dYqNGzeSnJxMcHBwnvlHjx7N559/TmJiItWrV+eTTz5h/fr1LF++nBMnTuDs7Iyfnx9paWloNBp69epFVFSU1hhRUVG8//77ODs7/+l1SE9Px8rKqtA2Dx48ICgoiAMHDnD48GFcXFxo1aoVDx480GoXHh5O+/btOXPmDL169SInJwc7OzvWrVvH+fPnmTBhAp9++inff/+92mfRokUMGDCAPn36cObMGWJjY/Ncz6RJk+jUqROnT5+mVatWBAYGkpaWlm+sR44coXfv3oSFhZGQkEDjxo357LPPtNrExMQwePBghg8fztmzZ+nbty89e/Zk9+7dRZ73xo0btGrVitq1a3Pq1CkWLVrEsmXL1Lk6duxIdna2VhL59u3bbNq0iV69ehW63i/67rvvMDU1pX///vmef/GXFfkxMjIiJyeHZ8+eYWNjQ2pqKvv27Svy/AD79+/H29v7tfrA83Ie8fHxagL4v//9L5s3b6ZVq1Zqm9wyF7kOHTqEpaWl1nzNmjWjRIkSHDlyRD127tw5bt++TZMmTfKdOz09HUD9bMfHx5OVlUWzZs3UNpUrV8bBwYFDhw6px5ycnAgPD9caa/LkyZQpU4bevXsXeK116tRh//79BZ7PzMzk/v37Wi8hhBBCCCGEEOJdIyUjxL9aSkoKNjY2NGvWDD09PRwcHKhTpw7wPImko6Oj7vLNNX36dAIDA9V6qS4uLsybN4+GDRuyaNEiDA0NtZJ9FStWZN68edSuXZuMjAxMTU3Vc5MnT6Z58+bA85IXixYtIjo6mpYtWwKwdOlSduzYwbJlyxg5ciTBwcFMmDCBo0ePUqdOHbKysli9enWeXcOv4+DBg6xdu5ZNmwr/s92Xk25fffUVlpaW7N27lzZt2qjHu3XrRs+ePbXaTpo0Sf3vChUqcOjQIb7//ns6deoEwGeffcbw4cMZPHiw2q527dpaYwQHB9O1a1cApk2bxrx58zh69Cj+/v55Yo2MjMTf359PPvkEAFdXVw4ePKhVViEiIoLg4GA1yTps2DAOHz5MREQEjRs3LtK8CxcuxN7engULFqDRaKhcuTI3b95k1KhRTJgwASMjI7p160ZUVBQdO3YE4Ntvv8XBwYFGjRoVttxaLl68SMWKFbVKisyePZsJEyao72/cuJHvLt1Lly6xePFidcd6x44d2bZtGw0bNsTGxoZ69erRtGlTevToUegTRq9evYqtrW2RY87VrVs3/vjjDxo0aICiKDx79ox+/frx6aefqm0sLCxwc3NT39+6dYsyZcpojaOrq4uVlRW3bt1Sj/3444/4+fmhr6+fZ96cnByGDBmCr68vVatWVcfV19fP83DBsmXLao1bqVIlSpcurb4/cOAAy5YtIyEhodBrtbW15dq1a+Tk5FCiRN7fp06fPl3ruyCEEEIIIYQQQryLZIew+NeYNm0apqam6islJYWOHTvy+PFjKlasSGhoKDExMeqf+xfk1KlTREdHa43l5+dHTk4OV65cAZ7vRAwICMDBwQEzMzMaNmwIPE9Av+jFHZBJSUlkZWXh6+urHtPT06NOnTokJiYCzxNOrVu35ptvvgHgp59+IjMzU002vqxly5ZqjB4eHnnOnz17lrZt2zJx4kRatGihxvjitU2bNg2A3377jdDQUFxcXLCwsMDc3JyMjIxCrynXl19+Sa1atbC2tsbU1JSvvvpK7Xf79m1u3rxJ06ZNC1pyAKpXr67+t4mJCebm5lplOF6UmJhI3bp1tY75+PjkafPiWgP4+vqqa12UeRMTE/Hx8dHa3err60tGRgbXr18HIDQ0lO3bt3Pjxg3g+W7Y3Bq6L9u/f7/W2q9atSr/xeB56Y+EhASWLFnCw4cPURRFPZeeno6pqSnGxsa4ublRtmxZdSwdHR2ioqK4fv06M2bMoHz58kybNg0PDw91F3x+Hj9+rFUuoqj27NnDtGnTWLhwISdOnGDDhg1s2rSJKVOmqG3at2/Pr7/++tpj//jjj2q5iJcNGDCAs2fP/qkSDrt27VJ3/D948IDu3buzdOlSrSRxfnJ3Yr9cIiTXmDFjSE9PV1/Xrl177diEEEIIIYQQQoi3TXYIi3+Nfv36qTtS4XlyVVdXlwsXLrBz50527NhB//79mTlzJnv37i3wYWgZGRn07dtXrTX8IgcHBx4+fIifnx9+fn6sWrUKa2trUlJS8PPz4+nTp1rtcx909TpCQkLo3r07c+bMISoqis6dO2NsbJxv26+//prHjx8D5Lme8+fP07RpU/r06cO4cePU47a2tlo7IXP/3D4oKIg7d+4QGRmJo6MjBgYG+Pj4vPKa1qxZw4gRI5g1axY+Pj6YmZkxc+ZM9U//C6tb+6KX49doNOTk5BSp71/xV+f18vLC09OTFStW0KJFC86dO1fgbmxvb2+ttS9btizwfBf6gQMHtB7SZ2lpiaWlpZp4fpGZmRknTpygRIkSlCtXLt81Ll++PN27d6d79+5MmTIFV1dXFi9eXOAO1tKlS3P37t0iX3eu8ePH0717d0JCQgCoVq0aDx8+pE+fPowdOzbfnbQ2NjZ5kv3Pnj0jLS1N3a2fmprKyZMn832AW1hYGD///DP79u3Dzs5Oa9ynT59y7949rV3Cv/32W4EPJUxKSiI5OVl9cB2g3v/cfz8qVaoEQFpaGiYmJgV+pg0MDDAwMMj3nBBCCCGEEEII8a6QhLD417Cyssq3Tq6RkREBAQEEBAQwYMAAKleuzJkzZ6hZsyb6+vpkZ2drta9Zsybnz58vsGbvmTNnuHPnDp9//jn29vYAHD9+/JXx5T7cLC4uDkdHR+B5LeJjx46p5SkAWrVqhYmJCYsWLWLr1q2F1oItX758vsfPnTtHkyZNCAoKYurUqVrndHV18722uLg4Fi5cqNZ+vXbtGn/88ccrrysuLo769etr1b9NSkpS/9vMzAwnJyd27dqlVarhr3B3d9eqNQvkeWiYu7s7cXFxBAUFacVapUqV15pn/fr1KIqi7viNi4vDzMxMKxEZEhLC3LlzuXHjBs2aNVM/Fy8zMjLKd+27du3K/PnzWbhwoVZZjYKUKFHitWpKlyxZknLlymk9GPFlXl5enD9/vshj5nr06FGepK+Ojg6A1q7mF/n4+HDv3j3i4+OpVasWAL/88gs5OTnqzu+ffvqJ+vXra32nFUVh4MCBxMTEsGfPHipUqKA1bq1atdDT02PXrl18+OGHAFy4cIGUlJQ8O8hz5f578KJx48bx4MEDIiMjte7l2bNn8fLyeuWaCCGEEEIIIYQQ7zJJCIt/jIyMDC5fvqy+v3LlCgkJCVhZWeHg4JBvn+joaLKzs6lbty7GxsZ8++23GBkZqQlZJycn9u3bR5cuXTAwMKB06dKMGjWKevXqERYWRkhICCYmJpw/f54dO3awYMECHBwc0NfXZ/78+fTr14+zZ89q/Xl8QUxMTPj4448ZOXKkGvOMGTN49OiR1oOsdHR0CA4OZsyYMbi4uBSYyCrI2bNnadKkCX5+fgwbNkytnaqjo4O1tXWB/VxcXFi5ciXe3t7cv3+fkSNHFml3r4uLCytWrGDbtm1UqFCBlStXcuzYMa1kXXh4OP369aNMmTK0bNmSBw8eEBcXx8CBA1/r2nINGjQIX19fIiIiaNu2Ldu2bdOqHwwwcuRIOnXqhJeXF82aNeOnn35iw4YN7Ny5s8jz9O/fn7lz5zJw4EDCwsK4cOECEydOZNiwYVpJ0G7dujFixAiWLl3KihUrXvt6fHx8GD58OMOHD+fq1at06NABe3t7UlNTWbZsGRqNJt+dtvlZsmQJCQkJtG/fnkqVKvHkyRNWrFjBuXPnmD9/foH9/Pz8WL58eZ7juTuaMzIy+P3330lISEBfX19NrAcEBDB79my8vLyoW7culy9fZvz48QQEBKiJ4ZiYGMaMGaOWjXB3d8ff35/Q0FAWL15MVlYWYWFhdOnSRa1jHBsbm6dcxIABA1i9ejU//vgjZmZm6mfbwsICIyMjLCws6N27N8OGDcPKygpzc3MGDhyIj48P9erVU8dp2rQp7du3JywsDENDQ7UGca7c3cUvH9+/f79aekUIUTTJn+fd5S+EEEIIIYQoZooQ/xC7d+9WgDyvoKCgAvvExMQodevWVczNzRUTExOlXr16ys6dO9Xzhw4dUqpXr64YGBgoL34djh49qjRv3lwxNTVVTExMlOrVqytTp05Vz69evVpxcnJSDAwMFB8fHyU2NlYBlJMnT2rFevfuXa14Hj9+rAwcOFApXbq0YmBgoPj6+ipHjx7NE3dSUpICKDNmzMhzDlBiYmIKvOaJEyfmu06Ojo4F9lEURTlx4oTi7e2tGBoaKi4uLsq6desUR0dHZc6cOYXO/eTJEyU4OFixsLBQLC0tlY8//lgZPXq04unpqdVu8eLFipubm6Knp6eUK1dOGThwYKHjWlhYKFFRUYqi5L+ey5YtU+zs7BQjIyMlICBAiYiIUCwsLLTGWLhwoVKxYkVFT09PcXV1VVasWKF1/lXzKoqi7NmzR6ldu7air6+v2NjYKKNGjVKysrLyrF/37t0VKysr5cmTJ1rHJ06cmGctCrJ27VqlUaNGioWFhaKnp6fY2dkp3bp1Uw4fPqy2iYqKynOdLzpx4oTy0UcfKRUqVFAMDAyUUqVKKe+//74SGxtb6Nx37txRDA0NlV9//VXr+Ks+S1lZWUp4eLhSqVIlxdDQULG3t1f69++vda+ioqKUl/93c+fOHaVr166KqampYm5urvTs2VN58OCBoiiKkpGRoRgaGiqXLl16ZSyA1v16/Pix0r9/f6VkyZKKsbGx0r59eyU1NVVrHEdHR2XixIkFrkVQUJDStm1brWPXr19X9PT0lGvXrhXY72Xp6ekKoKSnpxe5jxBCCCGEEEII8WcV9edQjaIU8De9Qohis3//fpo2bcq1a9fUOrPi3da0aVM8PDyYN29ecYfyp40cOZL79++zZMmSYo1jw4YNjBs37k+VsHhbRo0axd27d/nqq6+K3Of+/ftYWFiQnp6Oubn5W4xOCCGEEEIIIYQo+s+hRfsbZCHE3yIzM5Pr168THh5Ox44dJRn8D3D37l21pu2AAQOKO5y/ZOzYsTg6Ov4tD/MrjKmpKV988UWxxvCyMmXKFKk0jBBCCCGEEEII8a6THcJCvEOio6Pp3bs3NWrUIDY2tsCHxol3h5OTE3fv3mX8+PGMGDGiuMMR7xDZISyEEEIIIYQQ4u8kO4TF3yo8PJwaNWr8pTGSk5PRaDTqQ6zeJo1Gw8aNG9/6PK87d3BwMNnZ2cTHx6vJ4D179qDRaLh3795bjeVtrX9xrnVB3uS1Jicnk56e/laTwU+fPsXZ2ZmDBw++tTn+13Xp0oVZs2YVdxhCCCGEEEIIIcRbJwnhf5F9+/YREBCAra3tO5mEexV7e3tSU1OpWrUq8HYToa9y6tQpunbtir29PUZGRri7uxMZGfm3x/F3enn9xXOXL1+mV69eODg4YGBgQPny5WnatCmrVq3i2bNnajuNRqO+LCws8PX15ZdfftEa69atWwwcOJCKFStiYGCAvb09AQEB7Nq1q9AYFi9eTIUKFahfv756bOrUqdSvXx9jY2MsLS0L7BsdHU316tUxNDSkTJkyRSpr8eWXX+Lk5IShoSF169bl6NGj+barUKECO3fu5MmTJwQHB1OtWjV0dXVp165dvu1XrVqFp6cnxsbGlCtXjl69enHnzp1CY+nbty+VKlXCyMgIa2tr2rZty6+//vrKa3jRgQMH8PX1pVSpUhgZGVG5cmXmzJmj1WbcuHFMnTqV9PT0PP3Dw8PZs2fPa80phBBCCCGEEEK8q3SLOwDx5jx8+BBPT0969epFhw4dijuc16ajo4ONjU1xhwFAfHw8ZcqU4dtvv8Xe3p6DBw/Sp08fdHR0CAsLK+7w3op3af3fFUePHqVZs2Z4eHjw5ZdfUrlyZQCOHz/Ol19+SdWqVfH09FTbR0VF4e/vzx9//MHYsWNp06YNZ8+epWLFiiQnJ+Pr64ulpSUzZ86kWrVqZGVlsW3bNgYMGFBgklNRFBYsWMDkyZO1jj99+pSOHTvi4+PDsmXL8u07e/ZsZs2axcyZM6lbty4PHz4kOTm50Gteu3Ytw4YNY/HixdStW5e5c+fi5+fHhQsXKFOmjNru9OnT3L17l4YNG/L06VOMjIwYNGgQ69evz3fcuLg4evTowZw5cwgICODGjRv069eP0NBQNmzYUGA8tWrVIjAwEAcHB9LS0ggPD6dFixZcuXIFHR2dQq8ll4mJCWFhYVSvXh0TExMOHDhA3759MTExoU+fPgBUrVqVSpUq8e233zJgwACysrKYN28egwYNUse5ffs2MTEx9O3bt0jzCiHeHU6jNxV3CO+M5M9bF3cIQgghhBCimMkO4X+Rli1b8tlnn9G+ffvX6qfRaFi0aBEtW7bEyMiIihUr8sMPP2i1GTVqFK6urhgbG1OxYkXGjx9PVlZWgWMGBwfTrl07pk2bRtmyZbG0tGTy5Mk8e/aMkSNHYmVlhZ2dHVFRUWqfF/+MPzk5mcaNGwNQsmRJNBoNwcHBwPMHrw0aNIgyZcpgaGhIgwYNOHbsGPA8eebs7ExERIRWPAkJCWg0Gi5fvlykNenVqxeRkZE0bNiQihUr8tFHH9GzZ89CE1cAx44do3nz5pQuXRoLCwsaNmzIiRMnCmyfe81r1qyhfv36GBoaUrVqVfbu3ZunbXx8PN7e3hgbG1O/fn0uXLignktKSqJt27aULVsWU1NTateuzc6dO4t0rS/HkltGIXeH9q5duwqcF2DRokVUqlQJfX193NzcWLlyZaHzXLt2jU6dOmFpaYmVlRVt27bVSlLmfnYiIiIoV64cpUqVUhN0ue7evUuPHj0oWbIkxsbGtGzZkkuXLgHPfzFibm6e5zO8ceNGTExMePDgQZHWQ1EUgoODcXV1JS4ujoCAAFxcXHBxcaFr164cOHCA6tWra/WxtLTExsaGqlWrsmjRIh4/fsyOHTsA6N+/PxqNhqNHj/Lhhx/i6uqKh4cHw4YN4/DhwwXGER8fT1JSEq1ba/8AP2nSJIYOHUq1atXy7Xf37l3GjRvHihUr6NatG5UqVaJ69ep88MEHhV737NmzCQ0NpWfPnlSpUoXFixdjbGzMN998o9Xuxx9/xN/fHz09PUxMTFi0aBGhoaEF/lLh0KFDODk5MWjQICpUqECDBg3o27dvgbuPc/Xp04f3338fJycnatasyWeffca1a9fUz0xRPqdeXl507doVDw8PnJyc+Oijj/Dz82P//v1acwUEBLBmzRrg+b+LAE2aNOHcuXPExMQQEBCAnZ1dofEKIYQQQgghhBDvOkkICwDGjx/Phx9+yKlTpwgMDKRLly4kJiaq583MzIiOjub8+fNERkaydOnSPH9y/bJffvmFmzdvsm/fPmbPns3EiRNp06YNJUuW5MiRI/Tr14++ffty/fr1PH3t7e3VnYYXLlwgNTVVLdnwySefsH79epYvX86JEydwdnbGz8+PtLQ0NBoNvXr10ko0w/Odm++//z7Ozs5/eo3S09OxsrIqtM2DBw8ICgriwIEDHD58GBcXF1q1avXKJOTIkSMZPnw4J0+exMfHh4CAgDx/Sj927FhmzZrF8ePH0dXVpVevXuq5jIwMWrVqxa5duzh58iT+/v4EBASQkpLyp6+3KPPGxMQwePBghg8fztmzZ+nbty89e/Zk9+7d+Y6VlZWFn58fZmZm7N+/n7i4OExNTfH39+fp06dqu927d5OUlMTu3btZvnw50dHRREdHq+eDg4M5fvw4sbGxHDp0CEVRaNWqFVlZWZiYmNClS5d8PwP/+c9/MDMzK9J1JyQkkJiYyIgRIyhRIv9/KnOThvkxMjICnu/kTUtLY+vWrQwYMAATE5M8bQsr+bB//35cXV2LHHeuHTt2kJOTw40bN3B3d8fOzo5OnTpx7dq1PNeQu7ZPnz4lPj6eZs2aqedLlChBs2bNOHTokFa/2NhY2rZtW+R4fHx8uHbtGps3b0ZRFH777Td++OEHWrVqpbbJTe4WtIv54cOHREVFUaFCBezt7bXOFfY5fdnJkyc5ePAgDRs21Dpep04djh49SmZmJrq6ugwfPpx58+axefNmtm/fzvbt2/Mk5l+UmZnJ/fv3tV5CCCGEEEIIIcS7RhLCAoCOHTsSEhKCq6srU6ZMwdvbm/nz56vnx40bR/369XFyciIgIIARI0bw/fffFzqmlZUV8+bNw83NjV69euHm5sajR4/49NNPcXFxYcyYMejr63PgwIE8fXV0dNTka5kyZbCxscHCwoKHDx+yaNEiZs6cScuWLalSpQpLly7FyMhI/bP54OBgLly4oO48zMrKYvXq1YUmiF7l4MGDrF27Vv3z8oI0adKEjz76iMqVK+Pu7s5XX33Fo0eP8t3x+6KwsDA+/PBD3N3dWbRoERYWFnnKAEydOpWGDRtSpUoVRo8ezcGDB3ny5AkAnp6e9O3bl6pVq+Li4sKUKVOoVKkSsbGxf/qaizJvREQEwcHB9O/fH1dXV4YNG0aHDh3y7NDOtXbtWnJycvj666+pVq0a7u7uREVFkZKSolWjtWTJkixYsIDKlSvTpk0bWrdurdbZvXTpErGxsXz99de89957eHp6smrVKm7cuKHWzQ4JCWHbtm2kpqYCz//Uf/Pmza/1Gbh48SIAbm5u6rHbt29jamqqvhYuXJhv30ePHjFu3Dh0dHRo2LAhly9fRlEUteTE67h69Sq2trav3e+///0vOTk5TJs2jblz5/LDDz+QlpZG8+bNtZLvbm5uWFhYAPDHH3+QnZ1N2bJltcYqW7Yst27dUt/fuHGD06dP07JlyyLH4+vry6pVq+jcuTP6+vrqd/rLL79U2xgbG+Pm5oaenp5W34ULF6prvmXLFnbs2IG+vr5Wm8I+p7ns7OwwMDDA29ubAQMGEBISonXe1taWp0+fcuvWLbKzs4mMjGTQoEG0atWKFi1a4O/vz9atWwu8xunTp2NhYaG+Xk5aCyGEEEIIIYQQ7wJJCP8PmTZtmlYy68Xdoz4+PlptfXx8tHYIr127Fl9fX2xsbDA1NWXcuHGv3H3q4eGhtbOybNmyWn/erqOjQ6lSpbh9+3aRryEpKYmsrCx8fX3VY3p6etSpU0eN19bWltatW6t/4v7TTz+RmZlJx44d8x2zZcuW6pp4eHjkOX/27Fnatm3LxIkTadGiBQApKSlaazlt2jQAfvvtN0JDQ3FxccHCwgJzc3MyMjJeuVYvrr+uri7e3t5a6w9olScoV64cgLp2GRkZjBgxAnd3dywtLTE1NSUxMVGdt7B7/yqFzZuYmKh1L+B54u/l2HOdOnWKy5cvY2ZmpsZiZWXFkydPSEpKUtt5eHho1YctV66c1py6urrUrVtXPV+qVCnc3NzUeevUqYOHhwfLly8H4Ntvv8XR0ZH3338/37g8PDzUeApLcpYqVYqEhAQSEhKwtLTUSqwCdO3aFVNTU8zMzFi/fj3Lli2jevXqKIpS4Jiv8vjxYwwNDV+7X05OjloH18/Pj3r16vHdd99x6dIlrR3cv/7662uXmYmNjaVBgwaF7mx+2fnz5xk8eDATJkwgPj6erVu3kpycTL9+/dQ2derU4ddff6V8+fJafQMDAzl58iR79+7F1dWVTp065Un2FvY5zbV//36OHz/O4sWLmTt3Lt99953W+dxd3Y8ePVLXb9euXXh4eNC+fXs2btxYaA3mMWPGkJ6err5e3o0thBBCCCGEEEK8C+Shcv9D+vXrR6dOndT3Rd11eOjQIQIDA5k0aRJ+fn5YWFiwZs0aZs2aVWi/l3f5aTSafI/l5OQU8QqKLiQkhO7duzNnzhyioqLo3LkzxsbG+bb9+uuvefz4cb4xnz9/nqZNm9KnTx/GjRunHre1tVVr7QLqbuagoCDu3LlDZGQkjo6OGBgY4OPjkydx+Ge8GFtuqYLctRsxYgQ7duwgIiICZ2dnjIyM+M9//qPO+2fv/avmfV0ZGRnUqlWLVatW5TlnbW2d75y5877unCEhIXz55ZeMHj2aqKgoevbsWWCJh82bN6s1inOTgi4uLsDzkiVeXl7A819i5JYd0dXN+8/nnDlzaNasGRYWFlrX4+LigkajKfDBcYUpXbo0Z86cee1+uUnRKlWqqMesra0pXbp0gb8QKF26NDo6Ovz2229ax3/77Tet2sCxsbGvrEX8sunTp+Pr68vIkSMB1Ae8vffee3z22WdqvPnJ3XHr4uJCvXr1KFmyJDExMXTt2lVtU5TPaYUKFQCoVq0av/32G+Hh4VpjpKWlAc/XSU9PjxEjRmj1L1u2rFYC+2UGBgYYGBgUug5CCCGEEEIIIURxkx3C/0OsrKxwdnZWXy8mtF5+qNXhw4dxd3cHnpdLcHR0ZOzYsXh7e+Pi4sLVq1ffery5fxKenZ2tHst9eFlcXJx6LCsri2PHjmklvlq1aqU+6Grr1q2FlgooX768uiaOjo7q8XPnztG4cWOCgoKYOnWqVh9dXV2ttcxNCMfFxal/Yu7h4YGBgQF//PHHK6/1xfV/9uwZ8fHx6voXRVxcHMHBwbRv355q1aphY2OjtZOxsHv/V7i7u2vdi9xYXrwXL6pZsyaXLl2iTJkyWvE4OzurZQuKMuezZ884cuSIeuzOnTtcuHBBa96PPvqIq1evMm/ePM6fP09QUFCBYzo6Oqpx5O5O9fLyonLlykRERBQ5GW1jY4Ozs7NWMhier7+fnx9ffvklDx8+zNPv3r17BY7p5eXFr7/++tq7jHN3br/4cLW0tDT++OMPrc/5i/T19alVq5ZangOeJ1V37dql7mLPyMhg9+7dr1U/GJ7vun25FnPuLvDXuTZFUVAUhczMzNea/2U5OTl5xjh79ix2dnaULl1a63h4eDiNGjX6S/MJIYQQQgghhBDvCtkh/C+SkZHB5cuX1fdXrlwhISEBKysrHBwcCu27bt06vL29adCgAatWreLo0aNqDVsXFxdSUlJYs2YNtWvXZtOmTcTExLzVa4HnSTqNRsPPP/9Mq1atMDIywtTUlI8//piRI0eq1zVjxgwePXpE79691b46OjoEBwczZswYXFxc8pTEeJWzZ8/SpEkT/Pz8GDZsmFo/VUdHJ0+y70UuLi6sXLkSb29v7t+/z8iRI9Udp4X58ssvcXFxwd3dnTlz5nD37t3Xqnfr4uLChg0bCAgIQKPRMH78+Ley8/plI0eOpFOnTnh5edGsWTN++uknNmzYwM6dO/NtHxgYyMyZM2nbti2TJ0/Gzs6Oq1evsmHDBj755BPs7OxeOaeLiwtt27YlNDSUJUuWYGZmxujRoylfvrxWkrJkyZJ06NCBkSNH0qJFiyKN/SKNRkNUVBTNmzfH19eXMWPG4O7uTlZWFvv27eP333/XKmvxKl9++SW+vr7UqVOHyZMnU716dZ49e8aOHTtYtGhRgWU2GjduTEZGBufOnaNq1arq8ZSUFNLS0khJSSE7O1vdse7s7IypqSmurq60bduWwYMH89VXX2Fubs6YMWOoXLkyjRs3VsepXLky06dPV8tGDBs2jKCgILy9valTpw5z587l4cOH9OzZE4CtW7fi6uqKk5OTVpznz59XH6D34MEDNZ4aNWoAEBAQQGhoKIsWLcLPz4/U1FSGDBlCnTp11B3rR48epUePHuzatYvy5cvz3//+l7Vr19KiRQusra25fv06n3/+OUZGRloPoyvK2js4OKg1nPft20dERASDBg3Sard//361LIwQ4t8l+fOCHwgphBBCCCHE/xxF/Gvs3r1bAfK8goKCCu0HKF9++aXSvHlzxcDAQHFyclLWrl2r1WbkyJFKqVKlFFNTU6Vz587KnDlzFAsLC/X8xIkTFU9PT/V9UFCQ0rZtW60xGjZsqAwePFjrmKOjozJnzhxFURTlypUrCqCcPHlSPT958mTFxsZG0Wg06nU8fvxYGThwoFK6dGnFwMBA8fX1VY4ePZrnupKSkhRAmTFjRr7XHBMTU+CaTJw4Md+1dHR0LLCPoijKiRMnFG9vb8XQ0FBxcXFR1q1bp3WNL8+de82rV69W6tSpo+jr6ytVqlRRfvnlF7V97n29e/eueuzkyZMKoFy5ckUdp3HjxoqRkZFib2+vLFiwIN/1LmwdXl7/osyrKIqycOFCpWLFioqenp7i6uqqrFixosA5FEVRUlNTlR49eqj3r2LFikpoaKiSnp6uKEr+n53BgwcrDRs2VN+npaUp3bt3VywsLBQjIyPFz89PuXjxYp7r27VrlwIo33//vdbx/D5rBblw4YISFBSk2NnZKbq6uoqFhYXy/vvvK0uWLFGysrIKvM783Lx5UxkwYIDi6Oio6OvrK+XLl1c++OADZffu3YX269SpkzJ69GitY0FBQfl+Rl8cKz09XenVq5diaWmpWFlZKe3bt1dSUlK0xgGUqKgorWPz589XHBwcFH19faVOnTrK4cOH1XMfffSRMnbs2DwxOjo65hvPi+bNm6dUqVJFMTIyUsqVK6cEBgYq169fV8/nfuZyP183btxQWrZsqZQpU0bR09NT7OzslG7duim//vprnj6FfU7nzZuneHh4KMbGxoq5ubni5eWlLFy4UMnOzlb7PH78WLGwsFAOHTqU9wb8Senp6QqgfraFEEIIIYQQQoi3qag/h2oU5S887Uj8K2g0GmJiYmjXrl1xh/JG7d+/n6ZNm3Lt2jXKli1b3OHkKzk5mQoVKnDy5El1J6V4c1auXMnQoUO5efOmWoLkn+j06dM0b96cpKQkTE1Niy2OZ8+eUbZsWbZs2UKdOnWKLY63YdGiRcTExLB9+/Y3Nub9+/exsLAgPT0dc3PzNzauEEIIIYQQQgiRn6L+HCo1hMW/TmZmJtevXyc8PJyOHTu+s8lg8fY8evSIpKQkPv/8c/r27fuPTgbD8wewffHFF1y5cqVY40hLS2Po0KHUrl27WON4G/T09Jg/f35xhyGEEEIIIYQQQrx1khAW/zrfffcdjo6O3Lt3jxkzZhR3OKIYzJgxg8qVK2NjY8OYMWO0zmk0GjZu3Ag836Gt0WjUerdvyotzvCnBwcFUq1atwPNOTk7MnTv3jc75sjJlyjBu3Dg0Gs0bGa979+5MmzbtjYz1V+3cuZOff/65uMMQQgghhBBCCCHeOkkICxRF+VeViwgODiY7O5v4+HjKly9f3OEUysnJCUVRpFzEn7Bv3z4CAgKwtbXNk4ANDw8nKyuLXbt2FVpiwd7entTUVK2Htf3b3b9/n/Hjx+Ph4YGRkRGlSpWidu3azJgxg7t376rtGjVqhEajQaPRYGhoSJUqVVi4cKHWWE+fPmXmzJnUrFkTExMTLCws8PT0ZNy4cdy8ebPQOE6dOsXmzZu1Huy2YcMGWrRoQalSpQpM1N+6dYvu3btjY2ODiYkJNWvWZP369YXOtWHDBpo3b461tTXm5ub4+Piwbds2rTbjxo1j6tSppKen5+kfHh7Onj17Cp1DCCGEEEIIIYT4p9At7gCEEOLPePjwIZ6envTq1YsOHTr8qTF0dHSwsbF5w5G9u9LS0mjQoAH3799nypQp1KpVCwsLCy5cuEBUVBSrV69mwIABavvQ0FAmT57Mo0ePWLFiBQMGDKBkyZJ07dqVzMxMWrRowenTp5k0aRK+vr5YW1tz5coVvvvuO+bPn8/06dMLjGX+/Pl07NhRK2H/8OFDGjRoQKdOnQgNDc23X48ePbh37x6xsbGULl2a1atX06lTJ44fP46Xl1e+ffbt20fz5s2ZNm0alpaWREVFERAQwJEjR9Q+VatWpVKlSnz77bcMGDCArKws5s2bp5Wwvn37NjExMfTt2/e11l0I8ec5jd5U3CH86yR/3rq4QxBCCCGEEMVMdggLIf6RWrZsyWeffUb79u3/9Bgvl4zYs2cPGo2GXbt24e3tjbGxMfXr1+fChQta/RYtWkSlSpXQ19fHzc2NlStXFjrPtWvX6NSpE5aWllhZWdG2bVuSk5PV8zk5OUyePBk7OzsMDAyoUaMGW7duVc83adKEsLAwrTF///139PX12bVrV5Gv99NPPyUlJYWjR4/Ss2dPqlevjqOjIy1atOC7776jf//+Wu2NjY2xsbGhYsWKhIeH4+LiQmxsLABz5szhwIED/PLLLwwaNIhatWrh4OBAw4YNWbx4caGlILKzs/nhhx8ICAjQOt69e3cmTJhAs2bNCux78OBBBg4cSJ06dahYsSLjxo3D0tKS+Pj4AvvMnTuXTz75hNq1a+Pi4sK0adNwcXHhp59+0moXEBDAmjVrANSyGE2aNOHcuXPExMQQEBCAnZ1dgfMIIYQQQgghhBD/BJIQFkKIl4wdO5ZZs2Zx/PhxdHV16dWrl3ouJiaGwYMHM3z4cM6ePUvfvn3p2bMnu3fvznesrKws/Pz8MDMzY//+/cTFxWFqaoq/vz9Pnz4FIDIyklmzZhEREcHp06fx8/Pjgw8+4NKlSwCEhISwevVqMjMz1XG//fZbypcvT5MmTYp0TTk5Oaxdu5aPPvoIW1vbfNu8qjawkZGRGvN3331H8+bNC9yVW9hYp0+fJj09HW9v7yLF/qL69euzdu1a0tLSyMnJYc2aNTx58oRGjRqpbRo1akRwcHCBY+Tk5PDgwQOsrKy0jtepU4ejR4+SmZmJrq4uw4cPZ968eWzevJnt27ezfft2WreWnXVCCCGEEEIIIf7ZJCEshBAvmTp1Kg0bNqRKlSqMHj2agwcP8uTJEwAiIiIIDg6mf//+uLq6MmzYMDp06EBERES+Y61du5acnBy+/vprqlWrhru7O1FRUaSkpKh1aSMiIhg1ahRdunTBzc2NL774gho1aqgPicstifHjjz+q40ZHRxMcHFzkB7z9/vvv3Lt3Dzc3N63jtWrVwtTUFFNTU7p27Zpv3+zsbL799ltOnz6tJqAvXryYZ6z27durY9WvX7/AWK5evYqOjg5lypQpUuwv+v7778nKyqJUqVIYGBjQt29fYmJicHZ2Vts4ODhQrly5AseIiIggIyODTp06aR23tbXl6dOn3Lp1i+zsbCIjIxk0aBCtWrWiRYsW+Pv7a+3cfllmZib379/XegkhhBBCCCGEEO8aSQgLIf6Vpk2bpiYnTU1NSUlJKXLf6tWrq/+dm1i8ffs2AImJifj6+mq19/X1JTExMd+xTp06xeXLlzEzM1NjsbKy4smTJyQlJXH//n1u3rxZ6JiGhoZ0796db775BoATJ05w9uzZAnfB9uvXT+vaCxMTE0NCQgJ+fn48fvxY69zChQsxNTXFyMiI0NBQhg4dyscff1zgWAsXLiQhIYFevXrx6NGjAts9fvwYAwODIiezXzR+/Hju3bvHzp07OX78OMOGDaNTp06cOXNGbbNixYoC6xevXr2aSZMm8f333+dJSBsZGQHw6NEjcnJy1AcTenh40L59ezZu3KhV6uNl06dPx8LCQn3Z29u/9vUJIYQQQgghhBBvmzxUTgjxr9SvXz+tHaAFlUnIj56envrfuUnLnJycPxVHRkYGtWrVYtWqVXnOWVtbF3mckJAQatSowfXr14mKiqJJkyY4Ojrm23by5MmMGDEiz1yWlpZ56iE7ODgAYGZmxr1797TOBQYGMnbsWIyMjChXrhwlSvzf7xBdXFzyjJWbPH+5FMPLSpcuzaNHj3j69Cn6+vqFtn1RUlISCxYs4OzZs3h4eADg6enJ/v37+fLLL1m8eHGh/desWUNISAjr1q3Lt05xWloa8Hyt9PT08qxh2bJl6devX4HjjxkzhmHDhqnv79+/L0lhIYQQQgghhBDvHNkhLIT4V7KyssLZ2Vl96eq+md9/ubu7ExcXp3UsLi6OKlWq5Nu+Zs2aXLp0iTJlymjF4+zsjIWFBebm5tja2r5yzGrVquHt7c3SpUtZvXq1Vl3jl708F0CJEiXo1KkT3377LTdv3izStVpYWODs7Ez58uW1ksEAXbt2ZceOHZw8ebJIY72oRo0aAJw/f/61+uXuOn45Fh0dnVcm7L/77jt69uzJd999V2Ad4LNnz2JnZ0fp0qW1joeHh2vVKC6IgYEB5ubmWi8hhBBCCCGEEOJdIzuEhRD/SBkZGVy+fFl9f+XKFRISErCyslJ3vb4NI0eOpFOnTnh5edGsWTN++uknNmzYwM6dO/NtHxgYyMyZM2nbti2TJ0/Gzs6Oq1evsmHDBj755BPs7OwYOXIkEydOpFKlStSoUYOoqCgSEhLy7CoOCQkhLCwMExMT2rdv/9qxT5s2jT179lCnTh0mT56Mt7c3JiYmnD59mkOHDlG1atUijzV06FA2bdpE06ZNmThxIu+99x4lS5bk4sWLbNmyBR0dnQL7WltbU7NmTQ4cOKAmh+H5Dt2UlBQ1YZ27A9nGxgYbGxsqV66Ms7Mzffv2JSIiglKlSrFx40Z27NjBzz//rI7To0cPypcvr5aNWL16NUFBQURGRlK3bl1u3boFPC8RYWFhofbbv38/LVq0KPIaCCHevuTP5UGOQgghhBBCvGmyQ1gI8Y90/PhxvLy88PLyAmDYsGF4eXkxYcKEtzpvu3btiIyMJCIiAg8PD5YsWUJUVFSBO0iNjY3Zt28fDg4OdOjQAXd3d3r37s2TJ0/UHaSDBg1i2LBhDB8+nGrVqrF161ZiY2NxcXHRGqtr167o6urStWtXDA0NXzv2UqVKcfToUXr06MHMmTOpU6cO1apVIzw8nM6dO7N06dIij2VoaMiuXbsYNWoUUVFRNGjQAHd3d4YMGYKvry8bN24stH9ISEiehHdsbCxeXl7qDt4uXbrg5eWlloLQ09Nj8+bNWFtbExAQQPXq1VmxYgXLly+nVatW6jgpKSmkpqaq77/66iuePXvGgAEDKFeunPoaPHiw2ubJkyds3LiR0NDQIq+BEEIIIYQQQgjxT6RRFEUp7iCEEEK8WnJyMpUqVeLYsWPUrFmzuMP5Sx4/foybmxtr167Fx8enuMNh0aJFxMTEsH379jc25v3797GwsCA9PV3KRwghhBBCCCGEeOuK+nOolIwQQoh3XFZWFnfu3GHcuHHUq1fvH58MhuflGlasWMEff/xR3KEAz3cfz58/v7jDEEIIIYQQQggh3jpJCAshxDsuLi6Oxo0b4+rqyg8//FDc4bwxRXlQ298lJCSkuEMQQgghhBBCCCH+FlJDWAgh3nGNGjVCURQuXLhAtWrVitTHycmJuXPnvt3A3qA9e/ag0Wi4d+/eXxpHo9G8sn6xEEIIIYQQQgjxv0wSwkII8ZoaNWrEkCFDijsM8QaEh4dTo0aN4g5DCCGEEEIIIYT420jJCCGEeEc9ffoUfX394g5DCCHEv4jT6E3FHYL4H5b8eeviDkEIIYQQyA5hIYR4LcHBwezdu5fIyEg0Gg0ajYakpCR69+5NhQoVMDIyws3NjcjISK1++e0qbteuHcHBwep7JycnpkyZQo8ePTA3N6dPnz4ArF+/Hg8PDwwMDHBycmLWrFla49y+fZuAgACMjIyoUKECq1atyhP3vXv3CAkJwdraGnNzc5o0acKpU6e02ixatIhKlSqhr6+Pm5sbK1euVM/16tWL6tWrk5mZCTxPVnt5edGjRw8AmjRpQlhYmNZ4v//+O/r6+uzatQuAzMxMRo0ahb29PQYGBjg7O7Ns2TKtPvHx8Xh7e2NsbEz9+vW5cOFCkWPMz6hRo3B1dcXY2JiKFSsyfvx4srKyAIiOjmbSpEmcOnVKvZfR0dFFXi8hhBBCCCGEEOKfSBLCQgjxGiIjI/Hx8SE0NJTU1FRSU1Oxs7PDzs6OdevWcf78eSZMmMCnn37K999//9rjR0RE4OnpycmTJxk/fjzx8fF06tSJLl26cObMGcLDwxk/fryauITnSepr166xe/dufvjhBxYuXMjt27e1xu3YsSO3b99my5YtxMfHU7NmTZo2bUpaWhoAMTExDB48mOHDh3P27Fn69u1Lz5492b17NwDz5s3j4cOHjB49GoCxY8dy7949FixYADx/KNvq1avVhDHAt99+S/ny5WnSpAkAPXr04LvvvmPevHkkJiayZMkSTE1NteIcO3Yss2bN4vjx4+jq6tKrVy/13KtizI+ZmRnR0dGcP3+eyMhIli5dypw5cwDo3Lkzw4cPx8PDQ72XnTt3LtJ6CSGEEEIIIYQQ/1QaRVGU4g5CCCH+SRo1akSNGjUKfWhbWFgYt27d4ocffiiwT7t27bC0tFSTu05OTnh5eRETE6O2CQwM5Pfff2f79u3qsU8++YRNmzZx7tw5Ll68iJubG0ePHqV27doA/Prrr7i7uzNnzhyGDBnCgQMHaN26Nbdv38bAwEAdx9nZmU8++YQ+ffrg6+uLh4cHX331lXq+U6dOPHz4kE2bnv958aFDh2jYsCGjR49m+vTp7N69mwYNGgDw5MkTbG1tWbx4MZ06dQLA09OTDh06MHHiRDXOHTt20KxZszzrtWfPHho3bszOnTtp2rQpAJs3b6Z169Y8fvwYQ0PDIsWo0WiIiYmhXbt2+d6XiIgI1qxZw/Hjx4HnNYQ3btxIQkKC2qYo65WfzMxMrYT4/fv3sbe3Jz09HXNz83z7CCHE301KRojiJCUjhBBCiLfr/v37WFhYvPLnUNkhLIQQb8CXX35JrVq1sLa2xtTUlK+++oqUlJTXHsfb21vrfWJiIr6+vlrHfH19uXTpEtnZ2SQmJqKrq0utWrXU85UrV8bS0lJ9f+rUKTIyMihVqhSmpqbq68qVKyQlJRU6T2Jiovrex8eHESNGMGXKFIYPH64mgwEMDQ3p3r0733zzDQAnTpzg7NmzakmMhIQEdHR0aNiwYaHXX716dfW/y5UrB6Dudi5KjC9bu3Ytvr6+2NjYYGpqyrhx4155X4qyXvmZPn06FhYW6sve3r7QeYQQQgghhBBCiOIgD5UTQoi/aM2aNYwYMYJZs2bh4+ODmZkZM2fO5MiRI2qbEiVK8PIfZOTWsn2RiYnJG48vIyODcuXKsWfPnjznXkwcv0pOTg5xcXHo6Ohw+fLlPOdDQkKoUaMG169fJyoqiiZNmuDo6AiAkZFRkebQ09NT/1uj0ajz/hmHDh0iMDCQSZMm4efnh4WFBWvWrMlTg/llf3a9xowZw7Bhw9T3uTuEhRBCCCGEEEKId4kkhIUQ4jXp6+uTnZ2tvo+Li6N+/fr0799fPfbyTlJra2tSU1PV99nZ2Zw9e5bGjRsXOpe7uztxcXFax+Li4nB1dUVHR4fKlSvz7Nkz4uPj1ZIRFy5c4N69e2r7mjVrcuvWLXR1dXFycip0nqCgIK15qlSpor6fOXMmv/76K3v37sXPz4+oqCh69uypnq9WrRre3t4sXbqU1atXq/WFc8/l5OSwd+/efEtGFEVRYnzRwYMHcXR0ZOzYseqxq1evarV5+V5C0dYrPwYGBlolJoQQQgghhBBCiHeRJISFEOI1OTk5ceTIEZKTkzE1NcXFxYUVK1awbds2KlSowMqVKzl27BgVKlRQ+zRp0oRhw4axadMmKlWqxOzZs7WStgUZPnw4tWvXZsqUKXTu3JlDhw6xYMECFi5cCICbmxv+/v707duXRYsWoaury5AhQ7R25DZr1gwfHx/atWvHjBkzcHV15ebNm2zatIn27dvj7e3NyJEj6dSpE15eXjRr1oyffvqJDRs2sHPnTgBOnjzJhAkT+OH/sXfvcT3e/+PHH2/S+UQOFZKoVBKRSbYcmsxhjnMchZiRHObUh4ic5jSnzTazmn00M8eGOTWMnJtyqMVMcgibQ8mhUtfvD7+ur7fOhmyf5/12e99uva/rdXher+sdt569el7r1+Pl5cWiRYsYNWoU3t7e2NnZqXMFBAQQGBiIkZERXbt21VozPz8/Bg0axNKlS3Fzc+PSpUvcvHlTrTlcnOJifJa9vT0pKSmsXbsWDw8Ptm3bplWfOS+uixcvEhcXR40aNTAxMSnRegkhxD+V1HAVQgghhBBSQ1gIIUpp3LhxlC9fHmdnZ6pUqYKvry/dunWjV69evPHGG9y6dUtrtzDAoEGD8PPzY8CAAWoStbjdwfBkt+q6detYu3Yt9evXZ+rUqcyYMUOtzQsQHh6OtbU13t7edOvWjaFDh1K1alX1vEajYfv27bz11lsMHDgQBwcHevfuzaVLl6hWrRrw5AF3S5YsYcGCBbi4uPDFF18QHh5Oy5YtefToEe+//z7+/v506tQJgKFDh9KqVSv69++vtcO2T58+6Ojo0KdPH/T19bWuZcWKFfTo0YPhw4dTr149hgwZwv3790u87kXFWJB3332XMWPGEBgYSMOGDTl06BAhISFabbp37067du1o1aoVVapU4bvvvivRegkhhBBCCCGEEP9UGuXZopZCCCHEc0pOTqZOnTocP34cd3f3sg6nTJX06a5CCCGEEEIIIcSLUNKfQ6VkhBBCiL8tOzubW7duMWXKFJo1a/Y/nwwWQgghhBBCCCFeV1IyQgghxN8WExODlZUVx48f5/PPPy/rcIQQQgghhBBCCFEISQgLIYT421q2bImiKCQlJeHq6lrq/vv27UOj0ZToQXtF0Wg0bN68+W+NIYQQQgghhBBC/JtJQlgIIf6lWrZsyejRo8s6jNdaaGgoDRs2LOswhBBCCCGEEEKIV0ZqCAshhPhbsrKy0NXVLeswhBBClIDtpG1lHYL4F0me26GsQxBCCCHEc5AdwkII8S/k7+/P/v37WbJkCRqNBo1Gw4ULFxg8eDC1a9fGwMAAR0dHlixZotWvoF3FXbp0wd/fX31va2tLWFgYAwYMwNTUlKFDhwKwYcMGXFxc0NPTw9bWloULF2qNk5mZycSJE6lZsyZ6enrUrVuXVatWabWJjY2lSZMmGBoa0rx5c5KSkrTOr1ixgjp16qCrq4ujoyPffvttkeswceJEHBwcMDQ0xM7OjpCQELKzswGIiIhg+vTpxMfHq2sUEREBwN27dwkICKBKlSqYmprSunVr4uPji5xLCCGEEEIIIYT4J5AdwkII8S+0ZMkSzp07R/369ZkxYwYAFStWpEaNGvzwww9YWFhw6NAhhg4dipWVFT179izV+AsWLGDq1KlMmzYNeJLI7dmzJ6GhofTq1YtDhw4xfPhwLCws1GTygAEDOHz4MEuXLsXNzY2LFy/y119/aY07efJkFi5cSJUqVRg2bBiDBg0iJiYGgE2bNjFq1CgWL16Mj48PW7duZeDAgdSoUYNWrVoVGKeJiQkRERFYW1tz+vRphgwZgomJCRMmTKBXr16cOXOGHTt2sGfPHgDMzMwAeO+99zAwMOCnn37CzMyML774gjZt2nDu3DkqVapUqrUSQgghhBBCCCFeJ5IQFkKIfyEzMzN0dXUxNDTE0tJSPT59+nT169q1a3P48GHWrVtX6oRw69at+eijj9T3/fr1o02bNoSEhADg4OBAQkIC8+fPx9/fn3PnzrFu3Tp2796Nj48PAHZ2dvnGnTVrFt7e3gBMmjSJDh068OjRI/T19VmwYAH+/v4MHz4cgLFjx3LkyBEWLFhQaEJ4ypQp6te2traMGzeOtWvXMmHCBAwMDDA2NkZHR0drjQ4ePMixY8e4efMmenp6wJME+ObNm1m/fr26I/pZmZmZZGZmqu/T09OLX0ghhBBCCCGEEOIVk5IRQgjxP+TTTz+lcePGVKlSBWNjY7788ktSUlJKPU6TJk203icmJuLl5aV1zMvLi/Pnz5OTk0NcXBzly5dXk72FadCggfq1lZUVADdv3ixyjsTExELH+/777/Hy8sLS0hJjY2OmTJlS7PXGx8eTkZGBhYUFxsbG6uvixYtcuHCh0H5z5szBzMxMfdWsWbPIeYQQQgghhBBCiLIgO4SFEOJ/xNq1axk3bhwLFy7E09MTExMT5s+fz9GjR9U25cqVQ1EUrX55NXefZmRkVKq5DQwMStSuQoUK6tcajQaA3NzcUs2V5/Dhw/Tr14/p06fj6+uLmZkZa9euzVfb+FkZGRlYWVmxb9++fOfMzc0L7RccHMzYsWPV9+np6ZIUFkIIIYQQQgjx2pGEsBBC/Evp6uqSk5Ojvo+JiaF58+ZqyQUg347XKlWqkJqaqr7PycnhzJkzhZZkyOPk5KTW+n16PgcHB8qXL4+rqyu5ubns379fLRlRWnlz+Pn5ac3h7OxcYPtDhw5Rq1YtJk+erB67dOmSVptn1wjA3d2d69evo6Ojg62tbYnj09PTU0tMCCGEEEIIIYQQrytJCAshxL+Ura0tR48eJTk5GWNjY+zt7Vm9ejU7d+6kdu3afPvttxw/fpzatWurfVq3bs3YsWPZtm0bderUYdGiRdy9e7fYuT766CM8PDwICwujV69eHD58mOXLl/PZZ5+psfj5+TFo0CD1oXKXLl3i5s2bJa5fPH78eHr27EmjRo3w8fHhxx9/ZOPGjeoD4Z5lb29PSkoKa9euxcPDg23btrFp06Z8a3Tx4kXi4uKoUaMGJiYm+Pj44OnpSZcuXZg3bx4ODg5cu3aNbdu20bVr13zlMoQQ4p8keW6Hsg5BCCGEEEKUMakhLIQQ/1Ljxo2jfPnyODs7U6VKFXx9fenWrRu9evXijTfe4NatW1q7hQEGDRqEn58fAwYMwNvbGzs7u2J3B8OTXbXr1q1j7dq11K9fn6lTpzJjxgz8/f3VNitWrKBHjx4MHz6cevXqMWTIEO7fv1/i6+nSpQtLlixhwYIFuLi48MUXXxAeHk7Lli0LbP/uu+8yZswYAgMDadiwIYcOHVIfepene/futGvXjlatWlGlShW+++47NBoN27dv56233mLgwIE4ODjQu3dvLl26RLVq1UocrxBCCCGEEEII8TrSKM8WixRCCCHE35aeno6ZmRlpaWmYmpqWdThCCCGEEEIIIf7lSvpzqOwQFkIIIYQQQgghhBBCiP8RkhAWQgghhBBCCCGEEEKI/xGSEBavjX379qHRaEr0AKsXJTk5GY1GQ1xc3CubszRatmzJ6NGji2yj0WjYvHlzoedf12t8Uffb39+fLl26vJCYXqaIiAjMzc2Lbbdq1Sratm378gP6B2rWrBkbNmwosk3e512j0dCwYcNSjd+yZUu17+v2/SKEEEIIIYQQQrwokhAW4h8uNTWVd955p6zDEC/Ao0ePCAkJYdq0aeqxs2fP0r17d2xtbdFoNCxevDhfv5ycHEJCQqhduzYGBgbUqVOHsLAwiisRHxQUROPGjdHT0ysyebp//35q1qwJwJw5c/Dw8MDExISqVavSpUsXkpKS8l3HiBEjsLCwwNjYmO7du3Pjxo0Sr8PatWvRaDT5Ev1Tpkxh0qRJ5ObmFjvGnj17iI6OVt+vXLmSN998k4oVK1KxYkV8fHw4duyYVp+NGzfmO5YnNDSUffv2lfgahBBCCCGEEEKI15VOWQcgxL9RVlYWurq6r2QuS0vLVzKPKFhOTg4ajYZy5f7+79fWr1+PqakpXl5e6rEHDx5gZ2fHe++9x5gxYwrs9/HHH7NixQq++eYbXFxcOHHiBAMHDsTMzIygoKAi5xw0aBBHjx7l1KlThbbZsmULnTp1Ap4kh0eMGIGHhwePHz/mP//5D23btiUhIQEjIyMAxowZw7Zt2/jhhx8wMzMjMDCQbt26ERMTU+waJCcnM27cON58881859555x0CAgL46aef6NChQ5HjWFhYYGFhob7ft28fffr0oXnz5ujr6/Pxxx/Ttm1bzp49S/Xq1QGoVKkS6enpap/s7GyWLl2qtYY3b95k06ZNfPDBB8VeixBCvI5sJ2175XMmzy3632whhBBCCPFqyQ5h8cpkZmYSFBRE1apV0dfXp0WLFhw/frzIPgcPHuTNN9/EwMCAmjVrEhQUxP3799Xzd+7cYcCAAVSsWBFDQ0Peeecdzp8/D8D9+/cxNTVl/fr1WmNu3rwZIyMj7t27V6K4b926RZ8+fahevTqGhoa4urry3XffabVp2bIlgYGBjB49msqVK+Pr6wvAokWLcHV1xcjIiJo1azJ8+HAyMjK0+sbExNCyZUsMDQ2pWLEivr6+3LlzRz2fm5vLhAkTqFSpEpaWloSGhmr1f7ZkxLFjx2jUqBH6+vo0adKEkydP5rum/fv307RpU/T09LCysmLSpEk8fvxY63qCgoKKnDclJYXOnTtjbGyMqakpPXv2VHeBJicnU65cOU6cOKHVZ/HixdSqVatEOzzzzJw5k6pVq2JiYkJAQACTJk0qdDfr6tWrsbCwIDMzU+t4ly5d6N+/v/r+xx9/xMPDA319fSpXrkzXrl3Vc5mZmYwbN47q1atjZGTEG2+8obUzNK/0Q1RUFM7Ozujp6ZGSklLkZ7Gk1q5dqyZe83h4eDB//nx69+6Nnp5egf0OHTpE586d6dChA7a2tvTo0YO2bdsWuts1z9KlSxkxYgR2dnZFtouKiuLdd98FYMeOHfj7++Pi4oKbmxsRERGkpKQQGxsLQFpaGqtWrWLRokW0bt2axo0bEx4ezqFDhzhy5EiR8+Tk5NCvXz+mT59eYEzly5enffv2rF27tshxCrJmzRqGDx9Ow4YNqVevHl999RW5ublau4ifpdFoAGjdujVnz55l06ZNdOrUiRo1apR6fiGEEEIIIYQQ4nUhCWHxykyYMIENGzbwzTff8Ouvv1K3bl18fX25fft2ge0vXLhAu3bt6N69O6dOneL777/n4MGDBAYGqm38/f05ceIEUVFRHD58GEVRaN++PdnZ2RgZGdG7d2/Cw8O1xg0PD6dHjx6YmJiUKO5Hjx7RuHFjtm3bxpkzZxg6dCj9+/fPl2z75ptv0NXVJSYmhs8//xyAcuXKsXTpUs6ePcs333zDzz//zIQJE9Q+cXFxtGnTBmdnZw4fPszBgwfp1KkTOTk5WuMaGRlx9OhR5s2bx4wZM9i9e3eBsWZkZNCxY0ecnZ2JjY0lNDSUcePGabW5evUq7du3x8PDg/j4eFasWMGqVauYOXNmvuspbN7c3Fw6d+7M7du32b9/P7t37+aPP/6gV69eANja2uLj41Pg2vv7+5d4N+2aNWuYNWsWH3/8MbGxsdjY2LBixYpC27/33nvk5OQQFRWlHrt58ybbtm1j0KBBAGzbto2uXbvSvn17Tp48SXR0NE2bNlXbBwYGcvjwYdauXcupU6d47733aNeunVZy98GDB3z88cd89dVXnD17lqpVqxb5WSypgwcP0qRJkxK3z9O8eXOio6M5d+4cAPHx8Rw8eFCrlEhoaCi2tralHvvs2bPcvHmT1q1bF3g+LS0NeLK7FiA2Npbs7Gx8fHzUNvXq1cPGxobDhw+rx2xtbfP9kmHGjBlUrVqVwYMHFxpP06ZNOXDgQKmv41kPHjwgOztbjbsgOjo6fPTRRyxdupTt27eza9cudu3aVezuZCGEEEIIIYQQ4nUmJSPEK3H//n1WrFhBRESEmqRauXIlu3fvZtWqVYwfPz5fnzlz5tCvXz/1oWr29vYsXboUb29vVqxYweXLl4mKiiImJobmzZsDTxKINWvWZPPmzbz33nsEBATQvHlzUlNTsbKy4ubNm2zfvp09e/aUOPbq1atrJVVHjhzJzp07WbdunVYi0d7ennnz5mn1ffqBcLa2tsycOZNhw4bx2WefATBv3jyaNGmivgdwcXHRGqNBgwZqTVl7e3uWL19OdHQ0b7/9dr5YIyMjyc3NZdWqVejr6+Pi4sKVK1f48MMP1TafffYZNWvWZPny5Wg0GurVq8e1a9eYOHEiU6dOVZO1Rc0bHR3N6dOnuXjxolpbdvXq1bi4uHD8+HE8PDwICAhg2LBhLFq0CD09PX799VdOnz7Nli1bSrz2y5YtY/DgwQwcOBCAqVOnsmvXrny7rPMYGBjQt29fwsPDee+99wD473//i42NDS1btgRg1qxZ9O7dm+nTp6v93NzcgCe7nsPDw0lJScHa2hqAcePGsWPHDsLDw5k9ezbwpJTAZ599pvY7f/58sZ/F4ty9e5e0tDR13tKYNGkS6enp1KtXj/Lly5OTk8OsWbPo16+f2qZy5crUqVOn1GNv2bIFX1/fAkug5ObmMnr0aLy8vKhfvz4A169fR1dXN98D9KpVq8b169fV93Xq1KFy5crq+4MHD7Jq1apiH+ZmbW3N5cuXyc3N/VtlOiZOnIi1tbVW4vpZOTk5LF++nPXr19O+fXusra1p164d06ZNo127dvnaZ2Zmau1Of7r8hBBCCCGEEEII8bqQHcLilbhw4QLZ2dlatVErVKhA06ZNSUxMLLBPfHw8ERERGBsbqy9fX19yc3O5ePEiiYmJ6Ojo8MYbb6h9LCwscHR0VMds2rQpLi4ufPPNN8CT5GCtWrV46623CpzTxcVFnSsvcZ2Tk0NYWBiurq5UqlQJY2Njdu7cSUpKilbfxo0b5xtvz549tGnThurVq2NiYkL//v25desWDx48AP5vh3BRGjRooPU+L7FdkMTERBo0aIC+vr56zNPTM18bT09P9c/hAby8vMjIyODKlSslmjcxMZGaNWuqyWAAZ2dnzM3N1bXv0qUL5cuXZ9OmTcCTUgutWrUqdJfq0/d52LBhACQlJWkl3YF87581ZMgQdu3axdWrV9V5/f391estas1Pnz5NTk4ODg4OWvHs37+fCxcuqO10dXW11qckn8XiPHz4EEDr3pXUunXrWLNmDZGRkfz666988803LFiwQP3cw5Odz0WVRyjMli1b1HIRzxoxYgRnzpx5rhIO0dHR6m7/e/fu0b9/f1auXKmVJC6IgYEBubm5+cqClMbcuXNZu3YtmzZtKnK9c3Nzyc7OJjo6GhcXF7p27crmzZtJTk4usP2cOXMwMzNTX09/fwghhBBCCCGEEK8L2SEsXlsZGRl88MEHBT4Uy8bGpsT1WQMCAvj000+ZNGkS4eHhDBw4UCsZ+rTt27erf+JvYGAAwPz581myZAmLFy9W6wGPHj2arKwsrb55D9TKk5ycTMeOHfnwww+ZNWsWlSpV4uDBgwwePJisrCwMDQ3VOYpSoUIFrfcajaZUNXif19+dV1dXlwEDBhAeHk63bt2IjIxkyZIlhbZ/emeoqalpqePN06hRI9zc3Fi9erX60LBt2/7vATpFrXlGRgbly5cnNjaW8uXLa50zNjbWGqOwz9DzsrCwQKPRaNWPLqnx48czadIkevfuDYCrqyuXLl1izpw5+Pn5PXdMqampnDx5ssASCYGBgWzdupVffvlFq6aupaUlWVlZ3L17V2uX8I0bNwp9AOKFCxdITk7Wqp+c91nT0dEhKSlJ3d18+/ZtjIyMSvS9U5AFCxYwd+5c9uzZk++XHs+qUKFCvpIr1apVU39h8azg4GDGjh2rvk9PT5eksBBCCCGEEEKI147sEBavRJ06ddT6unmys7M5fvw4zs7OBfZxd3cnISGBunXr5nvp6uri5OTE48ePOXr0qNrn1q1bJCUlaY35/vvvc+nSJZYuXUpCQkKRCbJatWqpc1SvXh148tC3zp078/777+Pm5oadnZ1aq7UosbGx5ObmsnDhQpo1a4aDgwPXrl3TatOgQYPn2rVZGCcnJ06dOsWjR4/UY88+yMvJyUmtcZsnJiYGExOTEj8sy8nJicuXL3P58mX1WEJCAnfv3tVa+4CAAPbs2cNnn33G48eP6datW6FjPn1/q1atCoCjo2O+Bw8W9yDCvHkjIiIIDw/Hx8dHKylX1Jo3atSInJwcbt68me8zV1gyEyjxZ7Eourq6ODs7k5CQUKL2T3vw4EG+8gnly5f/2784+PHHH2nevLlWnV1FUQgMDGTTpk38/PPP1K5dW6tP48aNqVChgtYaJyUlkZKSkm+3ep569epx+vRp4uLi1Ne7775Lq1atiIuL07p/Z86coVGjRs91PfPmzSMsLIwdO3aUulZzaGioWnakMHp6epiammq9hBBCCCGEEEKI143sEBavhJGRER9++CHjx4+nUqVK2NjYMG/ePB48eFDoA6QmTpxIs2bNCAwMJCAgACMjIxISEti9ezfLly/H3t6ezp07M2TIEL744gtMTEyYNGkS1atXp3Pnzuo4FStWpFu3bowfP562bduWOOmZx97envXr13Po0CEqVqzIokWLuHHjRrGJvrp165Kdnc2yZcvo1KmT1sPm8gQHB+Pq6srw4cMZNmwYurq67N27l/fee6/YP50vSN++fZk8eTJDhgwhODiY5ORkFixYoNVm+PDhLF68mJEjRxIYGEhSUhLTpk1j7NixJa7J6uPjg6urK/369WPx4sU8fvyY4cOH4+3trZVoc3JyolmzZkycOJFBgwaVelfnyJEjGTJkCE2aNKF58+Z8//33nDp1Cjs7u2LXYdy4caxcuZLVq1drnZs2bRpt2rShTp069O7dm8ePH7N9+3YmTpyIg4MD/fr1Y8CAASxcuJBGjRrx559/Eh0dTYMGDQp9mFhJP4vF8fX15eDBg1q1p7OystQkcVZWFlevXiUuLg5jY2Pq1q0LQKdOnZg1axY2Nja4uLhw8uRJFi1apD5ID2D58uVs2rRJK1H7+++/k5GRwfXr13n48KG6S9vZ2RldXV2ioqLylYsYMWIEkZGRbNmyBRMTE7UusJmZGQYGBpiZmTF48GDGjh1LpUqVMDU1ZeTIkXh6etKsWTN1nDZt2tC1a1cCAwPR19dXaxDnydtd/OzxAwcO0LZt2xKvaZ6PP/6YqVOnEhkZia2trRp3XlkQIYT4X5E8Vx6MKYQQQgjxP08R4hV5+PChMnLkSKVy5cqKnp6e4uXlpRw7dkw9v3fvXgVQ7ty5ox47duyY8vbbbyvGxsaKkZGR0qBBA2XWrFnq+du3byv9+/dXzMzMFAMDA8XX11c5d+5cvrmjo6MVQFm3bp3W8YsXLyqAcvLkyULjvnXrltK5c2fF2NhYqVq1qjJlyhRlwIABSufOndU23t7eyqhRo/L1XbRokWJlZaXGtnr16nzXuG/fPqV58+aKnp6eYm5urvj6+qrnCxq3c+fOip+fn/oeUDZt2qS+P3z4sOLm5qbo6uoqDRs2VDZs2JDvGvft26d4eHgourq6iqWlpTJx4kQlOzu7yOt5dt5Lly4p7777rmJkZKSYmJgo7733nnL9+vV8a7Bq1SoF0LrXilLw/S7IjBkzlMqVKyvGxsbKoEGDlKCgIKVZs2bqeT8/P617kad///5KpUqVlEePHuU7t2HDBqVhw4aKrq6uUrlyZaVbt27quaysLGXq1KmKra2tUqFCBcXKykrp2rWrcurUKUVRFCU8PFwxMzPLN2Zxn8XC+j3t7NmzioGBgXL37l31WN5n9NmXt7e32iY9PV0ZNWqUYmNjo+jr6yt2dnbK5MmTlczMTLXNtGnTlFq1amnN5+3tXeDYFy9eVDIyMhR9fX3l/PnzWn0Kag8o4eHhapuHDx8qw4cPVypWrKgYGhoqXbt2VVJTU7XGqVWrljJt2rRC16Kg+3rlyhWlQoUKyuXLlwvtV9j3dK1atQqM+9kYSvJvQkmlpaUpgJKWlva3xxJCCCGEEEIIIYpT0p9DNYry1N+NC/Ev9e233zJmzBiuXbuGrq5uWYfzPyUsLIwffviBU6dOvZDx3n77bSwtLfn222+LbNemTRtcXFxYunTpC5n3VXnvvfdwd3cnODi4TOPYuHEjU6ZMea4SFi/LxIkTuXPnDl9++WWhbZKTk6lduzYnT56kYcOGpZ7j7/Z/Wnp6OmZmZqSlpUn5CCGEEEIIIYQQL11Jfw6VGsLiX+3BgwdcuHCBuXPn8sEHH0gy+BXKyMjgzJkzLF++nJEjRz7XGA8ePGDRokWcPXuW3377jWnTprFnz54i60DfuXOHTZs2sW/fPkaMGPG84ZeZ+fPnvxYlDIyNjfn444/LOgwtVatWJSwsrERtmzdvTvPmzUs1/jvvvIOLi8vzhCaEEEIIIYQQQvxjyA5h8a8WGhrKrFmzeOutt9iyZctrkWj7X+Hv7893331Hly5diIyMpHz58qUe4+HDh3Tq1ImTJ0/y6NEjHB0dmTJlSpEPp7O1teXOnTuEhIQwbty4v3MJ4h/o8ePHJCcnA08e8vb0A+mKc/XqVR4+fAiAjY3N3/4FkuwQFkIIIYQQQgjxKpX051BJCAshXqqWLVvSsGFDFi9e/NqMFxoayubNm9WHqL0qL3otXiZbW1tGjx6t9YC7f6qSlIHYt28frVq14s6dO+oD7f4uSQgLIYQQQgghhHiVSvpzqM4rjEkI8S9WWEJt48aNVKhQoewCE//zatasSWpqKpUrVy7rUIQQQgghhBBCiDInCWEhxEtVqVKlsg5B/ENlZWW9kLrf5cuXx9LS8gVEJIQQ/3y2k7aVdQj/SMlzO5R1CEIIIYQQL4w8VE4IUSK5ubnMmTOH2rVrY2BggJubG+vXrwee/El+q1atAKhYsSIajQZ/f3/gSZmEp8sO3LlzhwEDBlCxYkUMDQ155513OH/+vNZcMTExtGzZEkNDQypWrIivry937tzRimXChAlUqlQJS0tLQkNDtfqnpKTQuXNnjI2NMTU1pWfPnty4caPQazt+/Dhvv/02lStXxszMDG9vb3799VetNhqNhq+++oquXbtiaGiIvb09UVFRWm32799P06ZN0dPTw8rKikmTJvH48eNC5y1uLSIiIjA3N2fnzp04OTlhbGxMu3btSE1N1Rrnq6++wsnJCX19ferVq8dnn31W6JwA9+7do1+/fhgZGWFlZcUnn3yS7z49LTk5GY1Go1Vi4+7du2g0Gvbt26ceO3v2LB07dsTU1BQTExPefPNNLly4AOT/HAB06dJF/ZzAkzIVYWFhDBgwAFNTU4YOHQrAhg0bcHFxQU9PD1tbWxYuXKg1jq2tLbNnz2bQoEGYmJhgY2PDl19+WWT827dvx8HBAQMDA1q1aqXWHX7awYMHefPNNzEwMKBmzZoEBQVx//79whdWCCGEEEIIIYT4B5CEsBCiRObMmcPq1av5/PPPOXv2LGPGjOH9999n//791KxZkw0bNgCQlJREamoqS5YsKXAcf39/Tpw4QVRUFIcPH0ZRFNq3b092djYAcXFxtGnTBmdnZw4fPszBgwfp1KkTOTk56hjffPMNRkZGHD16lHnz5jFjxgx2794NPEkWd+7cmdu3b7N//352797NH3/8Qa9evQq9tnv37uHn58fBgwc5cuQI9vb2tG/fnnv37mm1mz59Oj179uTUqVO0b9+efv36cfv2beDJA8nat2+Ph4cH8fHxrFixglWrVjFz5sxC5y1uLQAePHjAggUL+Pbbb/nll19ISUnReljemjVrmDp1KrNmzSIxMZHZs2cTEhLCN998U+i8Y8eOJSYmhqioKHbv3s2BAwfyJcBL6+rVq7z11lvo6enx888/Exsby6BBg4pMiBdkwYIFuLm5cfLkSUJCQoiNjaVnz5707t2b06dPExoaSkhICBEREVr9Fi5cSJMmTTh58iTDhw/nww8/JCkpqcA5Ll++TLdu3ejUqRNxcXEEBAQwadIkrTYXLlygXbt2dO/enVOnTvH9999z8OBBAgMDC409MzOT9PR0rZcQQgghhBBCCPG6kZIRQohiZWZmMnv2bPbs2YOnpycAdnZ2HDx4kC+++AJvb2+1NETVqlULfSjX+fPniYqKIiYmhubNmwNPEpo1a9Zk8+bNvPfee8ybN48mTZpo7XJ1cXHRGqdBgwZMmzYNAHt7e5YvX050dDRvv/020dHRnD59mosXL1KzZk0AVq9ejYuLC8ePH8fDwyNfXK1bt9Z6/+WXX2Jubs7+/fvp2LGjetzf358+ffoAMHv2bJYuXcqxY8do164dn332GTVr1mT58uVoNBrq1avHtWvXmDhxIlOnTqVcOe3fv5VkLQCys7P5/PPPqVOnDgCBgYHMmDFDHWfatGksXLiQbt26AVC7dm0SEhL44osv8PPzy3et9+7d45tvviEyMpI2bdoAEB4ejrW1dQF3rOQ+/fRTzMzMWLt2rVoz2sHBodTjtG7dmo8++kh9369fP9q0aUNISIg6ZkJCAvPnz9faXdy+fXuGDx8OwMSJE/nkk0/Yu3cvjo6O+eZYsWIFderUUXcaOzo6cvr0aT7++GO1zZw5c+jXr5+6q9ne3p6lS5fi7e3NihUr0NfXzzfunDlzmD59eqmvWQghhBBCCCGEeJVkh7AQoli///47Dx484O2338bY2Fh9rV69Wi0JUBKJiYno6OjwxhtvqMcsLCxwdHQkMTER+L8dwkVp0KCB1nsrKytu3rypzlGzZk01GQzg7OyMubm5Osezbty4wZAhQ7C3t8fMzAxTU1MyMjJISUkpdF4jIyNMTU215vX09ESj0ahtvLy8yMjI4MqVK8+1FgCGhoZqMvjZa71//z4XLlxg8ODBWvdl5syZhd6XP/74g+zsbJo2baoeMzMzKzBxWhpxcXG8+eabf/sBgk2aNNF6n5iYiJeXl9YxLy8vzp8/r7Vr/Ol7o9FosLS0VNfpWYmJiVrrDqi/6MgTHx9PRESE1rr6+vqSm5vLxYsXCxw3ODiYtLQ09XX58uXiL1gIIYQQQgghhHjFZIewEKJYGRkZAGzbto3q1atrndPT03uhcxkYGBTb5tmko0ajITc397nn9PPz49atWyxZsoRatWqhp6eHp6cnWVlZL3XekihoTkVRgP+7LytXrsyX4CxfvvwLiyFvd3PevIBWWQso/r6VK1dOq39BY8CTRPvzeNH3JiMjgw8++ICgoKB852xsbArso6en98K/H4QQQgghhBBCiBdNdggLIYrl7OyMnp4eKSkp1K1bV+uVtxNXV1cXQGvX5rOcnJx4/PgxR48eVY/dunWLpKQknJ2dgSc7PaOjo587VicnJy5fvqy1OzMhIYG7d++qczwrJiaGoKAg2rdvrz687K+//ir1vHl1gJ8e18TEhBo1ahTYvri1KE61atWwtrbmjz/+yHdfateuXWAfOzs7KlSowPHjx9VjaWlpnDt3rtB5qlSpAqD1MLunH9AGT+7bgQMHCkzy5o3xdP+cnBzOnDlT7DU6OTkRExOjdSwmJgYHB4fnTno7OTlx7NgxrWNHjhzReu/u7k5CQkK+da1bt676WRdCCCGEEEIIIf6JZIewEKJYJiYmjBs3jjFjxpCbm0uLFi1IS0sjJiYGU1NT/Pz8qFWrFhqNhq1bt9K+fXsMDAwwNjbWGsfe3p7OnTszZMgQvvjiC0xMTJg0aRLVq1enc+fOwJM/u3d1dWX48OEMGzYMXV1d9u7dy3vvvUflypWLjdXHxwdXV1f69evH4sWLefz4McOHD8fb2ztfOYKn4/r2229p0qQJ6enpjB8/vkQ7lZ82fPhwFi9ezMiRIwkMDCQpKYlp06YxduzYfPWDS7oWJTF9+nSCgoIwMzOjXbt2ZGZmcuLECe7cucPYsWPztTcxMcHPz4/x48dTqVIlqlatyrRp0yhXrpxWuYunGRgY0KxZM+bOnUvt2rW5efMmU6ZM0WoTGBjIsmXL6N27N8HBwZiZmXHkyBGaNm2Ko6MjrVu3ZuzYsWzbto06deqwaNEi7t69W+z1ffTRR3h4eBAWFkavXr04fPgwy5cv16oxXVrDhg1j4cKFjB8/noCAAGJjY/M9pG7ixIk0a9aMwMBAAgICMDIyIiEhgd27d7N8+fLnnlsIIcpa8twOZR2CEEIIIYQoY7JDWAhRImFhYYSEhDBnzhycnJxo164d27ZtU3eiVq9enenTpzNp0iSqVatGYGBggeOEh4fTuHFjOnbsiKenJ4qisH37dq0Hke3atYv4+HiaNm2Kp6cnW7ZsQUenZL+/0mg0bNmyhYoVK/LWW2/h4+ODnZ0d33//faF9Vq1axZ07d3B3d6d///4EBQVRtWrVUq1P9erV2b59O8eOHcPNzY1hw4YxePDgfInT0qxFSQQEBPDVV18RHh6Oq6sr3t7eREREFLpDGGDRokV4enrSsWNHfHx88PLywsnJqcAHpeX5+uuvefz4MY0bN2b06NHMnDlT67yFhQU///wzGRkZeHt707hxY1auXKley6BBg/Dz82PAgAF4e3tjZ2dHq1atir0+d3d31q1bx9q1a6lfvz5Tp05lxowZWg+UKy0bGxs2bNjA5s2bcXNz4/PPP2f27NlabRo0aMD+/fs5d+4cb775Jo0aNWLq1Kl/++F7QgghhBBCCCFEWdMozxZ1FEII8T/l/v37VK9enYULFzJ48OCyDudfIz09HTMzM9LS0jA1NS3rcIQQQgghhBBC/MuV9OdQKRkhhBD/Y06ePMlvv/1G06ZNSUtLY8aMGQClKlUhhBBCCCGEEEKIfyZJCAshxP+gBQsWkJSUhK6uLo0bN+bAgQMlqtEshBBCCCGEEEKIfzZJCAshxP+YRo0aERsbW9ZhlEpERASjR48u0YPohBBCCCGEEEIIUTh5qJwQQojXiq2tLYsXL9Y61qtXL86dO1c2AQkhhBBCCCGEEP8iskNYCCHEayErKwtdXd0CzxkYGGBgYPCKIxJCiH8f20nbijyfPLfDK4pECCGEEEKUFdkhLIQQ4rnl5uYyb9486tati56eHjY2NsyaNQuA06dP07p1awwMDLCwsGDo0KFkZGSoff39/enSpQuzZs3C2toaR0dHWrZsyaVLlxgzZgwajQaNRgM8KRlhbm6u9o2Pj6dVq1aYmJhgampK48aNOXHihHp+w4YNuLi4oKenh62tLQsXLtSK29bWltmzZzNo0CBMTEywsbHhyy+/1Gpz+fJlevbsibm5OZUqVaJz584kJye/4BUUQgghhBBCCCFeLUkICyGEeG7BwcHMnTuXkJAQEhISiIyMpFq1aty/fx9fX18qVqzI8ePH+eGHH9izZw+BgYFa/aOjo0lKSmL37t1s3bqVjRs3UqNGDWbMmEFqaiqpqakFztuvXz9q1KjB8ePHiY2NZdKkSVSoUAGA2NhYevbsSe/evTl9+jShoaGEhIQQERGhNcbChQtp0qQJJ0+eZPjw4Xz44YckJSUBkJ2dja+vLyYmJhw4cICYmBiMjY1p164dWVlZBcaUmZlJenq61ksIIYQQQgghhHjdSMkIIYQQz+XevXssWbKE5cuX4+fnB0CdOnVo0aIFK1eu5NGjR6xevRojIyMAli9fTqdOnfj444+pVq0aAEZGRnz11VdapSLKly+PiYkJlpaWhc6dkpLC+PHjqVevHgD29vbquUWLFtGmTRtCQkIAcHBwICEhgfnz5+Pv76+2a9++PcOHDwdg4sSJfPLJJ+zduxdHR0e+//57cnNz+eqrr9RdyuHh4Zibm7Nv3z7atm2bL6Y5c+Ywffr0Uq+jEEIIIYQQQgjxKskOYSGEEM8lMTGRzMxM2rRpU+A5Nzc3NRkM4OXlRW5urroLF8DV1bXQusFFGTt2LAEBAfj4+DB37lwuXLigNbeXl5dWey8vL86fP09OTo56rEGDBurXGo0GS0tLbt68CTwpSfH7779jYmKCsbExxsbGVKpUiUePHmnN9bTg4GDS0tLU1+XLl0t9XUIIIYQQQgghxMsmO4SFEEI8lxfxkLenE8alERoaSt++fdm2bRs//fQT06ZNY+3atXTt2rXEY+SVmMij0WjIzc0FICMjg8aNG7NmzZp8/apUqVLgeHp6eujp6ZXiKoQQQgghhBBCiFdPdggLIYR4Lvb29hgYGBAdHZ3vnJOTE/Hx8dy/f189FhMTQ7ly5XB0dCxyXF1dXa2dvIVxcHBgzJgx7Nq1i27duhEeHq7OHRMTo9U2JiYGBwcHypcvX5JLw93dnfPnz1O1alXq1q2r9TIzMyvRGEIIIYQQQgghxOtIdggLIYR4Lvr6+kycOJEJEyagq6uLl5cXf/75J2fPnqVfv35MmzYNPz8/QkND+fPPPxk5ciT9+/dX6wcXxtbWll9++YXevXujp6dH5cqVtc4/fPiQ8ePH06NHD2rXrs2VK1c4fvw43bt3B+Cjjz7Cw8ODsLAwevXqxeHDh1m+fDmfffZZia+tX79+zJ8/n86dOzNjxgxq1KjBpUuX2LhxIxMmTKBGjRqlXzAhhHgNJM/tUNYhCCGEEEKIMiYJYSGEEM8tJCQEHR0dpk6dyrVr17CysmLYsGEYGhqyc+dORo0ahYeHB4aGhnTv3p1FixYVO+aMGTP44IMPqFOnDpmZmSiKonW+fPny3Lp1iwEDBnDjxg0qV65Mt27d1Ae6ubu7s27dOqZOnUpYWBhWVlbMmDFD64FyxTE0NOSXX35h4sSJdOvWjXv37lG9enXatGmDqalpqdZICCGEEEIIIYR4nWiUZ3/SFkIIIcTflp6ejpmZGWlpaZJEFkIIIYQQQgjx0pX051CpISyEEEIIIYQQQgghhBD/IyQhLIQQQgghhBBCCCGEEP8jJCEshBDiXykiIgJzc/MXNp6trS2LFy9+YeMJIYQQQgghhBBlQRLCQggh/vEKStb26tWLc+fOlU1AQgghhBBCCCHEa0qnrAMQQgghnldWVha6uroFnjMwMMDAwOAVRySEEK8320nbyjqEMpU8t0NZhyCEEEIIUeZkh7AQQohXKjc3l3nz5lG3bl309PSwsbFh1qxZAJw+fZrWrVtjYGCAhYUFQ4cOJSMjQ+3r7+9Ply5dmDVrFtbW1jg6OtKyZUsuXbrEmDFj0Gg0aDQaIH/JiPj4eFq1aoWJiQmmpqY0btyYEydOqOc3bNiAi4sLenp62NrasnDhwlezIEIIIYQQQgghxCskO4SFEEK8UsHBwaxcuZJPPvmEFi1akJqaym+//cb9+/fx9fXF09OT48ePc/PmTQICAggMDCQiIkLtHx0djampKbt37wbAysoKNzc3hg4dypAhQwqdt1+/fjRq1IgVK1ZQvnx54uLiqFChAgCxsbH07NmT0NBQevXqxaFDhxg+fDgWFhb4+/uX6LoyMzPJzMxU36enp5d+cYQQQgghhBBCiJdMEsJCCCFemXv37rFkyRKWL1+On58fAHXq1KFFixasXLmSR48esXr1aoyMjABYvnw5nTp14uOPP6ZatWoAGBkZ8dVXX2mViihfvjwmJiZYWloWOndKSgrjx4+nXr16ANjb26vnFi1aRJs2bQgJCQHAwcGBhIQE5s+fX+KE8Jw5c5g+fXrJF0MIIYQQQgghhCgDUjJCCCHEK5OYmEhmZiZt2rQp8Jybm5uaDAbw8vIiNzeXpKQk9Zirq2uhdYOLMnbsWAICAvDx8WHu3LlcuHBBa24vLy+t9l5eXpw/f56cnJwSjR8cHExaWpr6unz5cqljFEIIIYQQQgghXjZJCAshhHhlXsRD3p5OGJdGaGgoZ8+epUOHDvz88884OzuzadOmvx1PHj09PUxNTbVeQgghhBBCCCHE60YSwkIIIV4Ze3t7DAwMiI6OznfOycmJ+Ph47t+/rx6LiYmhXLlyODo6Fjmurq5uiXbyOjg4MGbMGHbt2kW3bt0IDw9X546JidFqGxMTg4ODA+XLly/JpQkhhBBCCCGEEP8IUkNYCCHEK6Ovr8/EiROZMGECurq6eHl58eeff3L27Fn69evHtGnT8PPzIzQ0lD///JORI0fSv39/tX5wYWxtbfnll1/o3bs3enp6VK5cWev8w4cPGT9+PD169KB27dpcuXKF48eP0717dwA++ugjPDw8CAsLo1evXhw+fJjly5fz2WefvbS1EEKIspA8t0NZhyCEEEIIIcqYJISFEEK8UiEhIejo6DB16lSuXbuGlZUVw4YNw9DQkJ07dzJq1Cg8PDwwNDSke/fuLFq0qNgxZ8yYwQcffECdOnXIzMxEURSt8+XLl+fWrVsMGDCAGzduULlyZbp166Y+BM7d3Z1169YxdepUwsLCsLKyYsaMGSV+oJwQQgghhBBCCPFPoVGe/alZCCGEEH9beno6ZmZmpKWlST1hIYQQQgghhBAvXUl/DpUawkIIIYQQQgghhBBCCPE/QhLCQgghhBBCCCGEEEII8T9CEsLiH61ly5aMHj26yDa2trYsXrz4b8+1atUq2rZtW2Qbf39/unTp8rfnEk/s27cPjUbD3bt3yzqUf40X9f3wb5OQkECNGjW4f/9+WYcihBBCCCGEEEK8VJIQFv9oGzduJCws7KXP8+jRI0JCQpg2bVqp+v3yyy906tQJa2trNBoNmzdvztcmIyODwMBAatSogYGBAc7Oznz++efFxuPv74+rqys6OjpFJqG/+eYbWrRoQXZ2NhMnTsTV1RUjIyOsra0ZMGAA165d02p/+/Zt+vXrh6mpKebm5gwePJiMjIxir/XTTz/F1tYWfX193njjDY4dO1Zsn9Iq6XVnZmYyefJkatWqhZ6eHra2tnz99ddFjv3ll1/SsmVLTE1Ni0xCP3z4ECMjI37//Xc2btzI22+/TZUqVTA1NcXT05OdO3dqtZ8zZw4eHh6YmJhQtWpVunTpQlJSUrHXeurUKd5880309fWpWbMm8+bNK7ZPad2+fZuRI0fi6OiIgYEBNjY2BAUFkZaWptUuJSWFDh06YGhoSNWqVRk/fjyPHz8ucuyNGzfStm1bLCws0Gg0xMXFFdq2du3a7Nmzp8T3d82aNbi5uWFoaIiVlRWDBg3i1q1bRcbz6NEjRowYgYWFBcbGxnTv3p0bN26o552dnWnWrFmhD7Br2bJlkeMLIYQQQgghhBD/FDplHYD4d8vKykJXV/eljV+pUqWXNvbT1q9fj6mpKV5eXqXqd//+fdzc3Bg0aBDdunUrsM3YsWP5+eef+e9//4utrS27du1i+PDhWFtb8+677xbYJycnBwMDA4KCgtiwYUORMWzZsoV3332XBw8e8OuvvxISEoKbmxt37txh1KhRvPvuu5w4cUJt369fP1JTU9m9ezfZ2dkMHDiQoUOHEhkZWegc33//PWPHjuXzzz/njTfeYPHixfj6+pKUlETVqlVLsFIlU9Lr7tmzJzdu3GDVqlXUrVuX1NRUcnNzixz7wYMHtGvXjnbt2hEcHFxou927d1OrVi3q1q3L8uXLefvtt5k9ezbm5uaEh4fTqVMnjh49SqNGjQDYv38/I0aMwMPDg8ePH/Of//yHtm3bkpCQgJGRUYFzpKen07ZtW3x8fPj88885ffo0gwYNwtzcnKFDh5ZgpUrm2rVrXLt2jQULFuDs7MylS5cYNmwY165dY/369cCTNe/QoQOWlpYcOnSI1NRUBgwYQIUKFZg9e3ahY9+/f58WLVrQs2dPhgwZUmi7U6dOcefOHby9vcnKyir2/sbExDBgwAA++eQTOnXqxNWrVxk2bBhDhgxh48aNhc4zZswYtm3bxg8//ICZmRmBgYF069aNmJgYtc3AgQMZMmQIwcHB6OjosHXrVqytrXF3d1fbrF27Fnd3dxwcHAqdSwhRtmwnbSvrEF5ryXM7lHUIQgghhBCijMkOYaElNzeXefPmUbduXfT09LCxsWHWrFnq+cuXL9OzZ0/Mzc2pVKkSnTt3Jjk5WT2fVzJh1qxZWFtb4+joCMC3335LkyZNMDExwdLSkr59+3Lz5k21X15pgJ07d9KoUSMMDAxo3bo1N2/e5KeffsLJyQlTU1P69u3LgwcP1H7Ploy4efMmnTp1wsDAgNq1a7NmzZp813j37l0CAgLUXZ2tW7cmPj6+yHVZu3YtnTp10jqWk5PD2LFjMTc3x8LCggkTJqAoilabd955h5kzZ9K1a9dCxz506BB+fn60bNkSW1tbhg4dipubW5E7bI2MjFixYgVDhgzB0tKy0HaPHj1i165dvPvuu5iZmbF792569uyJo6MjzZo1Y/ny5cTGxpKSkgJAYmIiO3bs4KuvvuKNN96gRYsWLFu2jLVr1+bbSfy0RYsWMWTIEAYOHKjucDY0NCx2V+6ztm/fjoODAwYGBrRq1Urrs1XS696xYwf79+9n+/bt+Pj4YGtri6enZ7HJ/NGjRzNp0iSaNWtWZLu8BDvA4sWLmTBhAh4eHtjb2zN79mzs7e358ccfteLx9/fHxcUFNzc3IiIiSElJITY2ttA51qxZQ1ZWFl9//TUuLi707t2boKCgQnevFqa474f69euzYcMGOnXqRJ06dWjdujWzZs3ixx9/VHcA79q1i4SEBP773//SsGFD3nnnHcLCwvj000/JysoqdO7+/fszdepUfHx8ioxxy5YttGvXjgoVKpTo/h4+fBhbW1uCgoKoXbs2LVq04IMPPijy+yUtLY1Vq1axaNEiWrduTePGjQkPD+fQoUMcOXJEbff2229z+/Zt9u/fD4CdnR3BwcFMmzaNu3fv0rNnT/bu3UvlypWLvCYhhBBCCCGEEOJ1JglhoSU4OJi5c+cSEhJCQkICkZGRVKtWDYDs7Gx8fX0xMTHhwIEDxMTEYGxsTLt27bQSQ9HR0SQlJbF79262bt2q9g0LCyM+Pp7NmzeTnJyMv79/vvlDQ0NZvnw5hw4dUpPPixcvJjIykm3btrFr1y6WLVtWaPz+/v5cvnyZvXv3sn79ej777DOtxDPAe++9pyaaY2NjcXd3p02bNty+fbvQcQ8ePEiTJk20ji1cuJCIiAi+/vprDh48yO3bt9m0aVOxa/ys5s2bExUVxdWrV1EUhb1793Lu3DmtesX+/v7P9Sfr0dHRVK9enXr16hV4Pi0tDY1Gg7m5OfAk2WZubq51rT4+PpQrV46jR4+qxzQaDREREcCTXeCxsbFaib9y5crh4+PD4cOHSxzr5cuX6datG506dSIuLo6AgAAmTZpUiqt9IioqiiZNmjBv3jyqV6+Og4MD48aN4+HDh2qbvF9APJtwLk5ubi5bt26lc+fOhZ6/d+9ekTvX88oxPN3m2ft7+PBh3nrrLa3d9Xk7ru/cuVPieEvy/VBQfKampujo6KixuLq6qv8O5MWSnp7O2bNnAUhOTkaj0bBv374Sx5YnKiqq0PUsiKenJ5cvX2b79u0oisKNGzdYv3497du3V9s8e39jY2PJzs7W+ozWq1cPGxsbrc+orq4uDRs25MCBA8CTMhI7d+7k/PnzxMfH4+PjwxdffFHo/c3MzCQ9PV3rJYQQQgghhBBCvG6kZIRQ3bt3jyVLlrB8+XL8/PwAqFOnDi1atACelAXIzc3lq6++QqPRABAeHo65uTn79u1TE5hGRkZ89dVXWsmsQYMGqV/b2dmxdOlSPDw8yMjIwNjYWD03c+ZMdSfn4MGDCQ4O5sKFC9jZ2QHQo0cP9u7dy8SJE/PFf+7cOX766SeOHTuGh4cH8ORBcE5OTmqbgwcPcuzYMW7evImenh4ACxYsYPPmzaxfv77AP8e/e/cuaWlpWFtbax1fvHgxwcHBaimIzz//PF/92JJYtmwZQ4cOpUaNGujo6FCuXDlWrlzJW2+9pbaxsrIqtuRBQZ7ezfqsR48eMXHiRPr06YOpqSkA169fz1fiQUdHh0qVKnH9+nX1mKOjI2ZmZgD89ddf5OTkaCUMAapVq8Zvv/1W4lhXrFhBnTp1WLhwoTrH6dOn+fjjj0s8BsAff/zBwYMH0dfXZ9OmTfz1118MHz6cW7duER4eDoChoSGOjo5UqFChVGPn7SZ94403Cjy/YMECMjIy6NmzZ4Hnc3NzGT16NF5eXtSvX189/uz9vX79OrVr19bqm7e+169fp2LFisXGWpLvh2f99ddfhIWFaX0fXL9+vcB7m3cOoEKFCjg6OmJoaFhsXE+7evUqp06d4p133ilxHy8vL9asWUOvXr149OgRjx8/plOnTnz66adqm2fv7/Xr19HV1VV/8fH0dTz9uQawtrbm0qVLACQlJTF69Gg8PDxwc3Njz549xMXFMWvWrALvwZw5c5g+fXqJr0UIIYQQQgghhCgLkhAWqsTERDIzM2nTpk2B5+Pj4/n9998xMTHROv7o0SMuXLigvnd1dc1XNzg2NpbQ0FDi4+O5c+eOmvxKSUnB2dlZbdegQQP162rVqmFoaKgmg/OOFfan4YmJiejo6NC4cWP1WL169bSSQPHx8WRkZGBhYaHV9+HDh1rX8Ow5AH19ffVYWloaqampWolBHR0dmjRpkq9sRHGWLVvGkSNHiIqKolatWvzyyy+MGDECa2trdUfjnDlzSjUmgKIo/Pjjj6xbty7fuezsbHr27ImiKKxYsaLUY5cm0VtSiYmJ+RKtnp6epR4nNzcXjUbDmjVr1KT1okWL6NGjB5999hkGBgY0bdr0ua5hy5YtdOzYkXLl8v9xRWRkJNOnT2fLli2F1k0eMWIEZ86c4eDBg1rHn+f+Fqck3w9PS09Pp0OHDjg7OxMaGlqquapXr/5c6xkVFUWLFi0KjakgCQkJjBo1iqlTp+Lr60tqairjx49n2LBhrFq1CuC57y+AgYGBWpbm3LlzzJo1C3d3d3755RfWrVvHd999x59//llgQjg4OJixY8eq79PT06lZs+ZzxSGEEEIIIYQQQrwskhAWKgMDgyLPZ2Rk0Lhx4wLr8lapUkX9+tkHZd2/fx9fX198fX1Zs2YNVapUISUlBV9f33w1SJ/esanRaPLt4NRoNM+1U/bpa7CysirwT9sLS0pZWFig0WhK9af6JfXw4UP+85//sGnTJjp0ePKQlwYNGhAXF8eCBQuKrb9alGPHjvH48WOaN2+udTwvGXzp0iV+/vlndXcwgKWlZb6SAo8fP+b27duF1nStXLky5cuX58aNG1rHb9y4UWR945fFysqK6tWrq8lgACcnJxRF4cqVK9jb2z/32FFRUcydOzff8bVr1xIQEMAPP/xQ6D0LDAxk69at/PLLL9SoUaPIeSwtLQtcz7xzL9q9e/do164dJiYmbNq0Sev7ztLSMt8vYV5ULFFRUYXuYC/MnDlz8PLyYvz48cCT7xcjIyPefPNNZs6ciZWVVb4+lpaWZGVlcffuXa3v84I+o7dv36ZOnToA+eqGA/Tp06fQ2PT09NS/PBBCCCGEEEIIIV5XkhAWKnt7ewwMDIiOjiYgICDfeXd3d77//nuqVq2qlUQszm+//catW7eYO3euulvuxIkTLyzuPPXq1ePx48fExsaqfyKflJTE3bt31Tbu7u5cv34dHR0dbG1tSzSurq4uzs7OJCQkqGUxzMzMsLKy4ujRo2pph7y53d3dSxxzdnY22dnZ+Xacli9f/m8lvuHJbtYOHTpQvnx5rfl69uzJ+fPn2bt3b76d0p6enty9e5fY2Fh1Z+nPP/9Mbm5uoWUSdHV1ady4MdHR0XTp0gV4sks3OjqawMDAEsfr5OREVFSU1rGnH/hVUl5eXvzwww9a5UjOnTtHuXLlik3EFuX8+fNcunSJt99+W+v4d999x6BBg1i7dq2a1H+aoiiMHDmSTZs2sW/fvnylIAri6enJ5MmTyc7OVpOzu3fvxtHRsUTlIqBk3w/wZBerr68venp6REVFae2Ez4tl1qxZ3Lx5U935vHv3bkxNTbV295dWRkYGe/fuLfUO9QcPHqj1jfPkfcYL253fuHFjKlSoQHR0NN27dweerEVKSkq+XehnzpyhR48e+cZ4nvrIQoiykTw3/7/FQgghhBBCiP8jD5UTKn19fSZOnMiECRNYvXo1Fy5c4MiRI+qfYffr14/KlSvTuXNnDhw4wMWLF9m3bx9BQUFcuXKl0HFtbGzQ1dVl2bJl/PHHH0RFRREWFvbC43d0dKRdu3Z88MEHHD16lNjYWAICArR2Pvv4+ODp6UmXLl3YtWsXycnJHDp0iMmTJxeZpPb19c33Z/6jRo1i7ty5bN68md9++43hw4fnS7ZlZGQQFxdHXFwcABcvXiQuLo6UlBQATE1N8fb2Zvz48ezbt4+LFy8SERHB6tWr6dq1qzpOcHAwAwYM0Bo7ISGBuLg4bt++TVpamtY8kH/3ZXZ2Nj169ODEiROsWbOGnJwcrl+/zvXr19Wd2k5OTrRr144hQ4Zw7NgxYmJiCAwMpHfv3lo1lOvVq6f1AL2xY8eycuVKvvnmGxITE/nwww+5f/8+AwcOLHRNnzVs2DDOnz/P+PHjSUpKIjIyUn1wXWmuu2/fvlhYWDBw4EASEhL45ZdfGD9+PIMGDVI/C8eOHaNevXpcvXpV7Xf9+nXi4uL4/fffATh9+rQ6DzxJsPv4+GjVyY2MjGTAgAEsXLiQN954Q13PvAfHwZMyEf/973+JjIzExMREbfP0Q+6evb99+/ZFV1eXwYMHc/bsWb7//nuWLFmiVY6gOCX5fkhPT6dt27bcv3+fVatWkZ6ersaXk5MDQNu2bXF2dqZ///7Ex8ezc+dOpkyZwogRI9TdsFevXqVevXpaO4lv375NXFwcCQkJwJMEbFxcnFqzd8eOHTg4OOT7xUxx97dTp05s3LiRFStW8McffxATE0NQUBBNmzZVP6PP3l8zMzMGDx7M2LFj2bt3L7GxsQwcOBBPT0+aNWumjp2cnMzVq1f/1s58IYQQQgghhBDitacI8ZScnBxl5syZSq1atZQKFSooNjY2yuzZs9XzqampyoABA5TKlSsrenp6ip2dnTJkyBAlLS1NURRF8fPzUzp37pxv3MjISMXW1lbR09NTPD09laioKAVQTp48qSiKouzdu1cBlDt37qh9wsPDFTMzM61xpk2bpri5uanvvb29lVGjRmnF16FDB0VPT0+xsbFRVq9erdSqVUv55JNP1Dbp6enKyJEjFWtra6VChQpKzZo1lX79+ikpKSmFrsvZs2cVAwMD5e7du+qx7OxsZdSoUYqpqalibm6ujB07VhkwYIDW9edd17MvPz8/rZj9/f0Va2trRV9fX3F0dFQWLlyo5Obmqm38/PwUb29vrZhq1apV4NiKoii///67oqenp2RkZKjtL168WGB7QNm7d6/a7tatW0qfPn0UY2NjxdTUVBk4cKBy7949rbkBJTw8XOvYsmXLFBsbG0VXV1dp2rSpcuTIEa3zBV3Ds3788Uelbt26ip6envLmm28qX3/9db7PRVHXnScxMVHx8fFRDAwMlBo1aihjx45VHjx4oJ7Puy8XL15Uj02bNq3AcfOus0WLFsrKlSu15vH29i72/ha25k+vX0FrEx8fr7Ro0ULR09NTqlevrsydO1frfEHX8Kzivh8K+3w+O25ycrLyzjvvKAYGBkrlypWVjz76SMnOzlbP5322nv4chYeHFzjutGnTFEVRlPfff1+ZPHlyvphLcn+XLl2qODs7KwYGBoqVlZXSr18/5cqVK0WuzcOHD5Xhw4crFStWVAwNDZWuXbsqqampWuPOnj1b8fX1LXQ9SystLU0B1H8fhRBCCCGEEEKIl6mkP4dqFKWUT8AS4n/Ue++9h7u7O8HBwWUdSrEWLVrEnj172L59e1mHovL29qZVq1alfmDZ6+Cvv/7CysqKK1euUK1atbIOB4Dw8HBmz55NQkJCvlrbr7vHjx9TrVo1fvrpJ5o2bVrW4QCQlZWFvb09kZGReHl5vZAx09PTMTMzIy0trVRldoQQQgghhBBCiOdR0p9DpWSEECU0f/58tSbt665GjRqvVeI6LS2NCxcuMG7cuLIO5bncvn2bRYsWvTbJYIDt27cze/bsf1wyGJ6s55gxY9Taxq+DlJQU/vOf/7ywZLAQQgghhBBCCPG6kh3CQghVy5YtadiwIYsXLy60ja2tLaNHj2b06NF/a65Vq1bx/fffs2vXrkLb+Pv7c/fuXTZv3vy35hJPJCcnU7t2bU6ePEnDhg3LOpzXSt5DI5OSkjAyMnohY8oOYSGEEEIIIYQQr5LsEBZClNrGjRtfygP/nvXo0SNCQkKYNm1aqfr98ssvdOrUCWtrazQaTYGJ4oyMDAIDA6lRowYGBgY4Ozvz+eefFxuPv78/rq6u6Ojo0KVLl0LbfvPNN7Ro0QJ4sl5t27bFwsICjUaj9fCzZymKwjvvvFNo3M/64YcfqFevHvr6+ri6ur608h9BQUE0btwYPT29QpPEiqKwYMECHBwc0NPTo3r16syaNavIcUuzNrVr12bPnj0lvg+ZmZlMnjyZWrVqoaenh62tLV9//XWR8Tx69IgRI0ZgYWGBsbEx3bt358aNG+p5Z2dnmjVrxqJFiwrs37JlyyLHF0IIIYQQQggh/il0yjoAIUTJZWVloaur+9LGr1Sp0ksb+2nr16/H1NS01H+ef//+fdzc3Bg0aBDdunUrsM3YsWP5+eef+e9//4utrS27du1i+PDhWFtb8+677xbYJycnBwMDA4KCgtiwYUORMWzZskUd5/79+7Ro0YKePXsyZMiQIvstXrwYjUZTgquEQ4cO0adPH+bMmUPHjh2JjIykS5cu/Prrr9SvX79EY5TGoEGDOHr0KKdOnSrw/KhRo9i1axcLFizA1dWV27dvc/v27SLHLOnanDp1ijt37uDt7U1WVlaJ7kPPnj25ceMGq1atom7duqSmppKbm1tkPGPGjGHbtm388MMPmJmZERgYSLdu3YiJiVHbDBw4kCFDhhAcHIyOjg5bt27F2toad3d3tc3atWtxd3fHwcGhyPmEEOJFsp207YWNlTy3wwsbSwghhBBC/DPJDmEhXqLc3FzmzZtH3bp10dPTw8bGRmtn5eXLl+nZsyfm5uZUqlSJzp07k5ycrJ739/enS5cuzJo1C2traxwdHQH49ttvadKkCSYmJlhaWtK3b19u3ryp9tu3bx8ajYadO3fSqFEjDAwMaN26NTdv3uSnn37CyckJU1NT+vbty4MHD9R+LVu21CoFcfPmTTp16oSBgQG1a9dmzZo1+a7x7t27BAQEUKVKFUxNTWndujXx8fFFrsvatWvp1KmT1rGcnBzGjh2Lubk5FhYWTJgwgWcr2rzzzjvMnDmTrl27Fjr2oUOH8PPzo2XLltja2jJ06FDc3Nw4duxYoX2MjIxYsWIFQ4YMwdLSstB2jx49YteuXWpCuH///kydOhUfH58irzcuLo6FCxcWu4s1z5IlS2jXrh3jx4/HycmJsLAw3N3dWb58eYn65zl27BiNGjVCX1+fJk2acPLkyXxtli5dyogRI7CzsytwjMTERFasWKEmwmvXrk3jxo15++23i5y7pGuzZcsW2rVrR4UKFUp0H3bs2MH+/fvZvn07Pj4+2Nra4unpWeQvF9LS0li1ahWLFi2idevWNG7cmPDwcA4dOsSRI0fUdm+//Ta3b99m//79ANjZ2REcHMy0adO4e/cuPXv2ZO/evVSuXLnIaxJCCCGEEEIIIV5nkhAW4iUKDg5m7ty5hISEkJCQQGRkpPpgsuzsbHx9fTExMeHAgQPExMRgbGxMu3btyMrKUseIjo4mKSmJ3bt3s3XrVrVvWFgY8fHxbN68meTkZPz9/fPNHxoayvLlyzl06JCafF68eDGRkZFs27aNXbt2sWzZskLj9/f35/Lly+zdu5f169fz2WefaSWeAd577z010RwbG4u7uztt2rQpcgfpwYMHadKkidaxhQsXEhERwddff83Bgwe5ffs2mzZtKnaNn9W8eXOioqK4evUqiqKwd+9ezp07R9u2bbWu63lKAERHR1O9enXq1atX4j4PHjygb9++fPrpp4UmOW1tbQkNDVXfHz58OF8i1dfXl8OHD5d43oyMDDp27IizszOxsbGEhoY+10P9fvzxR+zs7Ni6dSu1a9fG1taWgIAArfubnJyMRqNh3759pR4/KiqKzp07l6p9kyZNmDdvHtWrV8fBwYFx48bx8OFDtU3eL0TyfrkSGxtLdna21prWq1cPGxsbrTXV1dWlYcOGHDhwAHhSRmLnzp2cP3+e+Ph4fHx8+OKLL17ZTnohhBBCCCGEEOJlkJIRQrwk9+7dY8mSJSxfvhw/Pz8A6tSpo9af/f7778nNzeWrr75SSwmEh4djbm7Ovn371ASmkZERX331lVapiEGDBqlf29nZsXTpUjw8PMjIyMDY2Fg9N3PmTHXn5ODBgwkODubChQvqbtAePXqwd+9eJk6cmC/+c+fO8dNPP3Hs2DE8PDyAJw+Cc3JyUtscPHiQY8eOcfPmTfT09ABYsGABmzdvZv369QwdOjTfuHfv3iUtLQ1ra2ut44sXLyY4OFgtBfH555+zc+fO4hf6GcuWLWPo0KHUqFEDHR0dypUrx8qVK3nrrbfUNlZWVsWWGCjI0+UiSmrMmDE0b968yKRnnTp1tHadXr9+Xf3FQZ5q1apx/fr1Es8bGRlJbm4uq1atQl9fHxcXF65cucKHH35Yqvj/+OMPLl26xA8//MDq1avJyclhzJgx9OjRg59//hmAChUq4OjoiKGhYanGvnr1KqdOneKdd94pVTwHDx5EX1+fTZs28ddffzF8+HBu3bpFeHg4AIaGhjg6OlKhQgXgyXrq6upibm6uNVZBa2ptbc2lS5cASEpKYvTo0Xh4eODm5saePXuIi4tj1qxZVKxYMV9smZmZZGZmqu/T09NLfF1CCCGEEEIIIcSrIglhIV6SxMREMjMzadOmTYHn4+Pj+f333zExMdE6/ujRIy5cuKC+d3V1zVc3OG/HZ3x8PHfu3FGTmykpKTg7O6vtGjRooH5drVo1DA0NtUoDVKtWrdBSComJiejo6NC4cWP1WL169bSSavHx8WRkZGBhYaHV9+HDh1rX8Ow5AH19ffVYWloaqampvPHGG+oxHR0dmjRpkq9sRHGWLVvGkSNHiIqKolatWvzyyy+MGDECa2trdYfonDlzSjUmPHmw2o8//si6detK3CcqKoqff/65wFINT4uOji51PMVJTEykQYMGWuvs6elZ6nFyc3PJzMxk9erVat3cVatW0bhxY5KSknB0dKR69er89ttvpR47KiqKFi1a5EvUFhePRqNhzZo1mJmZAbBo0SJ69OjBZ599hoGBAU2bNn2ueAAMDAzUMirnzp1j1qxZuLu788svv7Bu3Tq+++47/vzzzwITwnPmzGH69OnPNa8QQgghhBBCCPGqSEJYiJfEwMCgyPMZGRk0bty4wLq8VapUUb82MjLSOnf//n18fX3x9fVlzZo1VKlShZSUFHx9fbVKTQDqDkkAjUaj9T7v2PPslH36GqysrAosFVBYks/CwgKNRsOdO3eee97CPHz4kP/85z9s2rSJDh2ePDSnQYMGxMXFsWDBgmLr2Rbl2LFjPH78mObNm5e4z88//8yFCxfyrUX37t158803Cy2xYGlpyY0bN7SO3bhxo8j6xi+LlZUVOjo6Wg9Ry9slnpKSota1fh5RUVGl3nFtZWVF9erV1WRwXjyKonDlyhXs7e3z9bG0tCQrK4u7d+9q3YuC1vT27dvUqVMHIF+da4A+ffoUGltwcDBjx45V36enp1OzZs0SX5sQQgghhBBCCPEqSA1hIV4Se3t7DAwMCt396e7uzvnz56latSp169bVej2d7HrWb7/9xq1bt5g7dy5vvvkm9erVy1fX90WoV68ejx8/JjY2Vj2WlJTE3bt3ta7h+vXr6Ojo5LuGwh68pauri7OzMwkJCeoxMzMzrKysOHr0qHrs2blLIjs7m+zsbMqV0/6nrXz58n8r8Q1PykV06NCB8uXLl7jPpEmTOHXqFHFxceoL4JNPPlHLGxTE09Mz3+dm9+7dpdrh6+TkxKlTp3j06JF67OkHqJWUl5cXjx8/1trxfe7cOQBq1apV6vHyZGRksHfv3lLVD86L59q1a2RkZGjFU65cOWrUqFFgn8aNG1OhQgWtNU1KSiIlJSXfmp45c4ZGjRrlG6Mk9ZH19PQwNTXVegkhhBBCCCGEEK8b2SEsxEuir6/PxIkTmTBhArq6unh5efHnn39y9uxZBg8eTL9+/Zg/fz6dO3dmxowZ1KhRg0uXLrFx40YmTJhQaHLLxsYGXV1dli1bxrBhwzhz5gxhYWEvPH5HR0fatWvHBx98wIoVK9DR0WH06NFaO599fHzw9PSkS5cuzJs3DwcHB65du8a2bdvo2rVrvgfH5fH19eXgwYOMHj1aPTZq1Cjmzp2Lvb099erVY9GiRVrJZ3iSRPz999/V9xcvXiQuLo5KlSphY2ODqakp3t7ejB8/HgMDA2rVqsX+/ftZvXo1ixYtUvsFBwdz9epVVq9erR5LSEggKyuL27dvc+/ePTV527BhQ+DJbtYZM2ZoxXP79m1SUlK4du0a8CTJCE92pD79epaNjQ21a9dW37dp04auXbsSGBioroW3tzcLFy6kQ4cOrF27lhMnTvDll18WuJ4F6du3L5MnT2bIkCEEBweTnJzMggUL8rX7/fffycjI4Pr16zx8+FC9bmdnZ3R1dfHx8cHd3Z1BgwaxePFicnNzGTFiBG+//ba6a/jq1au0adOG1atX07Rp0xKtzY4dO3BwcMDW1lYrnuLuQ9++fQkLC2PgwIFMnz6dv/76i/HjxzNo0CD1s3ns2DEGDBigPgTQzMyMwYMHM3bsWCpVqoSpqSkjR47E09OTZs2aqXMnJydz9erVv7WTXAghXobkuR3KOgQhhBBCCPFvogghXpqcnBxl5syZSq1atZQKFSooNjY2yuzZs9XzqampyoABA5TKlSsrenp6ip2dnTJkyBAlLS1NURRF8fPzUzp37pxv3MjISMXW1lbR09NTPD09laioKAVQTp48qSiKouzdu1cBlDt37qh9wsPDFTMzM61xpk2bpri5uanvvb29lVGjRmnF16FDB0VPT0+xsbFRVq9erdSqVUv55JNP1Dbp6enKyJEjFWtra6VChQpKzZo1lX79+ikpKSmFrsvZs2cVAwMD5e7du+qx7OxsZdSoUYqpqalibm6ujB07VhkwYIDW9edd17MvPz8/rZj9/f0Va2trRV9fX3F0dFQWLlyo5Obmqm38/PwUb29vrZhq1apV4NiKoii///67oqenp2RkZGj1CQ8PL7DPtGnTCr12QNm0aVO+uZ/ts27dOsXBwUHR1dVVXFxclG3btmmdnzZtmlKrVq1C51EURTl8+LDi5uam6OrqKg0bNlQ2bNig9TlRlCf3vKBruHjxotrm6tWrSrdu3RRjY2OlWrVqir+/v3Lr1i31/MWLFxVA2bt3b4nX5v3331cmT56cL+ai7kOexMRExcfHRzEwMFBq1KihjB07Vnnw4IF6Pu9z8vQ1PHz4UBk+fLhSsWJFxdDQUOnatauSmpqqNe7s2bMVX1/fIte0NNLS0hRA/X4WQgghhBBCCCFeppL+HKpRlFI+sUkIIV6A9957D3d3d4KDg8s6lGItWrSIPXv2sH379rIOReXn54dGoyEiIqKsQym1x48fU61aNX766Sd1R3FZy8rKwt7ensjISLy8vF7ImOnp6ZiZmZGWliblI4QQQgghhBBCvHQl/TlUaggLIcrE/PnzMTY2LuswSqRGjRqvVeJaURT27dv3UkqFvAq3b99mzJgxeHh4lHUoqpSUFP7zn/+8sGSwEEIIIYQQQgjxupIdwkIIIcRLIDuEhRBCCCGEEEK8SrJDWAjxPy05ORmNRqM+lKwgERERmJubFzlOaGio+kCzF8XW1pbFixe/0DGfR0murSTr+KJkZWVRt25dDh069NLnKkizZs3YsGFDmcwthBBCCCGEEEK8KpIQFkL8z+rVqxfnzp0r6zDKzLhx44iOjlbf+/v706VLF602NWvWJDU1lfr167/0eD7//HNq165N8+bNtY7v3buX9u3bY2FhgaGhIc7Oznz00UdcvXoVgH379tG5c2esrKwwMjKiYcOGrFmzJt/4P/zwA/Xq1UNfXx9XV9d8NaGnTJnCpEmTyM3NzdfX39+f5OTkF3exQgghhBBCCCFEGdEp6wCEEOJZ2dnZVKhQ4aXPY2BggIGBwUuf51XLyspCV1e32HbGxsbF1nEuX748lpaWLyq0QimKwvLly5kxY4bW8S+++ILhw4fj5+fHhg0bsLW1JSUlhdWrV7Nw4UIWLVrEoUOHaNCgARMnTqRatWps3bqVAQMGYGZmRseOHQE4dOgQffr0Yc6cOXTs2JHIyEi6dOnCr7/+qia733nnHQICAvjpp5/o0KEDt2/f5rvvvmP48OFqPBcuXODIkSP069fvpa+JEEK8DLaTtpV1CCTP7VDWIQghhBBC/E+THcJCiJdqx44dtGjRAnNzcywsLOjYsSMXLlxQz+eVJPj+++/x9vZGX1+fNWvWcOvWLfr06UP16tUxNDTE1dWV7777Tmvs3Nxc5s2bR926ddHT08PGxoZZs2Zptfnjjz9o1aoVhoaGuLm5cfjwYfVcQSUj5s6dS7Vq1TAxMWHw4ME8evQo35wzZsygRo0a6Onp0bBhQ3bs2KGeb926NYGBgVp9/vzzT3R1dbV24z7t7t27fPDBB1SrVg19fX3q16/P1q1bAUq0Di1btiQwMJDRo0dTuXJlfH192bdvHxqNhujoaJo0aYKhoSHNmzcnKSlJ7fd0yYjQ0FC++eYbtmzZgkajQaPRsG/fvnwlI0oyLsCWLVtwd3dHX18fOzs7pk+fzuPHjwu8foDY2FguXLhAhw7/lyS4cuUKQUFBBAUF8fXXX9OyZUtsbW156623+Oqrr5g6dSoA//nPfwgLC6N58+bUqVOHUaNG0a5dOzZu3KiOtWTJEtq1a8f48eNxcnIiLCwMd3d3li9frrYpX7487du3Z+3atQDo6+tz9epV2rVrx5UrV/j888/x9/endu3ahV6HEEIIIYQQQgjxupOEsBDipbp//z5jx47lxIkTREdHU65cObp27Zrvz/InTZrEqFGjSExMxNfXl0ePHtG4cWO2bdvGmTNnGDp0KP379+fYsWNqn+DgYObOnUtISAgJCQlERkZSrVo1rXEnT57MuHHjiIuLw8HBgT59+hSamFy3bh2hoaHMnj2bEydOYGVlxWeffabVZsmSJSxcuJAFCxZw6tQpfH19effddzl//jwAAQEBREZGkpmZqfb573//S/Xq1WndunW+OXNzc3nnnXeIiYnhv//9LwkJCcydO5fy5csDlGgdAL755ht0dXWJiYnh888/17r+hQsXcuLECXR0dBg0aFCB1z5u3Dh69uxJu3btSE1NJTU1NV/phmfXtbBxDxw4wIABAxg1ahQJCQl88cUXRERE5EvWP+3AgQM4ODhgYmKiHvvhhx/IyspiwoQJBfYpqv5zWloalSpVUt8fPnwYHx8frTa+vr5avyAAaNq0KQcOHADA0NCQ2bNnM2rUKPbt28eRI0f4+eefi1wXIYQQQgghhBDidSclI4QQL1X37t213n/99ddUqVKFhIQErbq0o0ePplu3blptx40bp349cuRIdu7cybp162jatCn37t1jyZIlLF++HD8/PwDq1KlDixYt8o2Rt+t0+vTpuLi48Pvvv1OvXr18sS5evJjBgwczePBgAGbOnMmePXu0dgkvWLCAiRMn0rt3bwA+/vhj9u7dy+LFi/n000/p1q0bgYGBbNmyhZ49ewJPdiL7+/uj0Wjyzblnzx6OHTtGYmIiDg4OANjZ2annq1evXuQ65LG3t2fevHnq+9TUVABmzZqFt7c38CTp3qFDBx49eoS+vr5WHMbGxhgYGJCZmVmiEhFFjTt9+nQmTZqk3hc7OzvCwsKYMGEC06ZNK3C8S5cuYW1trXXs/PnzmJqaYmVlVWw8T1u3bh3Hjx/niy++UI9dv3493y8LqlWrxvXr17WOWVtbc/nyZXJzc8nKymL27NkcPXqUli1b0qRJE3x8fJg/f77W2ufJzMzU+kVAenp6qeIWQgghhBBCCCFeBdkhLIR4qc6fP0+fPn2ws7PD1NQUW1tbAFJSUrTaNWnSROt9Tk4OYWFhuLq6UqlSJYyNjdm5c6faLzExkczMTNq0aVPk/A0aNFC/zkss3rx5s8C2iYmJvPHGG1rHPD091a/T09O5du0aXl5eWm28vLxITEwEnpQZ6N+/P19//TUAv/76K2fOnMHf37/AOePi4qhRo4aaDH5WceuQp3HjxgX2L831l0ZR48bHxzNjxgy1RrGxsTFDhgwhNTWVBw8eFDjew4cP8yWpFUUpMIlelL179zJw4EBWrlyJi4tLqfrCk7rSubm5ZGZm8uDBA6pVq8aOHTuoUaMGw4YN4+uvvy70QYRz5szBzMxMfdWsWbPU8wshhBBCCCGEEC+b7BAWQrxUnTp1olatWqxcuRJra2tyc3OpX78+WVlZWu2MjIy03s+fP58lS5awePFiXF1dMTIyYvTo0Wq/kj4M7umH0+UlF58tV/GiBQQE0LBhQ65cuUJ4eDitW7emVq1aBbYt7jqKW4c8z65fnpd1/UWNm5GRwfTp0/Pt+AbyJX3zVK5cmdOnT2sdc3BwIC0tjdTU1BLtEt6/fz+dOnXik08+YcCAAVrnLC0tuXHjhtaxGzdu5NsNffv2bYyMjNQHDo4YMULrfJ06dahTp06B8wcHBzN27Fj1fXp6uiSFhRBCCCGEEEK8dmSHsBDipbl16xZJSUlMmTKFNm3a4OTkxJ07d0rUNyYmhs6dO/P+++/j5uaGnZ2d1s5Me3t7DAwMCn1Q2/NwcnLi6NGjWseOHDmifm1qaoq1tTUxMTH5YnV2dlbfu7q60qRJE1auXElkZGShdXvhyU7bK1euFLrrtLh1eJF0dXXJycn52+O4u7uTlJRE3bp1873KlSv4v51GjRrx22+/oSiKeqxHjx7o6upqlcJ42t27d9Wv9+3bR4cOHfj4448ZOnRovraenp75Piu7d+/W2gEOcObMGRo1apSvf0REhLq7vTB6enqYmppqvYQQQgghhBBCiNeN7BAWQrw0FStWxMLCgi+//BIrKytSUlKYNGlSifra29uzfv16Dh06RMWKFVm0aBE3btxQE6/6+vpMnDiRCRMmoKuri5eXF3/++Sdnz55VawCX1qhRo/D396dJkyZ4eXmxZs0azp49q1XTd/z48UybNo06derQsGFDwsPDiYuLY82aNVpjBQQEEBgYiJGREV27di10Tm9vb9566y26d+/OokWLqFu3Lr/99hsajYZ27doVuw4vkq2tLTt37iQpKQkLCwvMzMyea5ypU6fSsWNHbGxs6NGjB+XKlSM+Pp4zZ84wc+bMAvu0atWKjIwMzp49q9aWrlmzJp988gmBgYGkp6czYMAAbG1tuXLlCqtXr8bY2JiFCxeyd+9eOnbsyKhRo+jevbtaF1hXV1d9sNyoUaPw9vZm4cKFdOjQgbVr13LixAm+/PJLrTgOHDhA27Ztn+u6hRDinyB5boeyDkEIIYQQQpQx2SEshHhpypUrx9q1a4mNjaV+/fqMGTOG+fPnl6jvlClTcHd3x9fXl5YtW2JpaUmXLl202oSEhPDRRx8xdepUnJyc6NWr19+qj9urVy9CQkKYMGECjRs35tKlS3z44YdabYKCghg7diwfffQRrq6u7Nixg6ioKOzt7bXa9enTBx0dHfr06VNomYQ8GzZswMPDgz59+uDs7MyECRPUnbolWYcXZciQITg6OtKkSROqVKmSbyd0Sfn6+rJ161Z27dqFh4cHzZo145NPPim0bAaAhYUFXbt2zZdYHz58OLt27eLq1at07dqVevXqERAQgKmpqfqwvW+++YYHDx4wZ84crKys1NfTJSuaN29OZGQkX375JW5ubqxfv57NmzdrPdjw6tWrHDp0iIEDBz7XdQshhBBCCCGEEP8EGuXpv88VQgjxQiQnJ1OnTh2OHz+Ou7t7WYfzj3Dq1CnefvttLly4gLGx8Suff+LEidy5cyffruHnlZ6ejpmZGWlpaVI+QgghhBBCCCHES1fSn0Nlh7AQQrxA2dnZXL9+nSlTptCsWTNJBpdCgwYN+Pjjj7l48WKZzF+1alXCwsLKZG4hhBBCCCGEEOJVkR3CQgjxAu3bt49WrVrh4ODA+vXrcXV1LeuQRBmRHcJCCCGEEEIIIV4l2SEshBBloGXLliiKQlJSUomTwcnJyWg0GuLi4gptExERgbm5eZHjhIaG0rBhw5IH+4r4+/uXuO5xSdaiJGxtbVm8eLH6XqPRsHnz5r81phBCCCGEEEII8W+gU9YBCCGEKF6vXr1o3759WYfxj5WamkrFihXLOgwhhBBCCCGEEKLMSUJYCCH+huzsbCpUqPDS5zEwMMDAwOClz/NvZWlpWdYhCMB20rayDkGI/3nJczuUdQhCCCGEEKKMSckIIYR4yo4dO2jRogXm5uZYWFjQsWNHLly4APxfOYPvv/8eb29v9PX1WbNmDbdu3aJPnz5Ur14dQ0NDXF1d+e6777TGzc3NZd68edStWxc9PT1sbGyYNWuWVps//viDVq1aYWhoiJubG4cPH1bPFVQyYu7cuVSrVg0TExMGDx7Mo0eP8s05Y8YMatSogZ6eHg0bNmTHjh3q+bzr2bhxY6HzAmzYsAEXFxf09PSwtbVl4cKF6rkZM2ZQv379fOvYsGFDQkJCClzjv7sWxcVUkKdLRpT0ug8ePMibb76JgYEBNWvWJCgoiPv37xc5jxBCCCGEEEII8bqThLAQQjzl/v37jB07lhMnThAdHU25cuXo2rUrubm5aptJkyYxatQoEhMT8fX15dGjRzRu3Jht27Zx5swZhg4dSv/+/Tl27JjaJzg4mLlz5xISEkJCQgKRkZFUq1ZNa+7Jkyczbtw44uLicHBwoE+fPjx+/LjAONetW0doaCizZ8/mxIkTWFlZ8dlnn2m1WbJkCQsXLmTBggWcOnUKX19f3n33Xc6fP1/ieWNjY+nZsye9e/fm9OnThIaGEhISQkREBACDBg0iMTGR48ePq+OdPHmSU6dOMXDgwAJj/7trUVxMJVXUHBcuXKBdu3Z0796dU6dO8f3333Pw4EECAwNLNYcQQgghhBBCCPG60SiKopR1EEII8br666+/qFKlCqdPn8bY2JjatWuzePFiRo0aVWS/jh07Uq9ePRYsWMC9e/eoUqUKy5cvJyAgIF/b5ORkateuzVdffcXgwYMBSEhIwMXFhcTEROrVq0dERASjR4/m7t27ADRv3pxGjRrx6aefquM0a9aMR48eqQ9kq169OiNGjOA///mP2qZp06Z4eHjw6aeflmjefv368eeff7Jr1y51jAkTJrBt2zbOnj0LQPv27bG1tVUT0kFBQZw+fZq9e/cCTx4qd/fuXTZv3vxC1qIkMdna2jJ69GhGjx4NPNkhvGnTJrp06VKiOQICAihfvjxffPGFOsfBgwfx9vbm/v376Ovr54s9MzOTzMxM9X16ejo1a9Ys9umu/0ukZIQQZU9KRgghhBBC/Hulp6djZmZW7M+hskNYCCGecv78efr06YOdnR2mpqbY2toCkJKSorZp0qSJVp+cnBzCwsJwdXWlUqVKGBsbs3PnTrVPYmIimZmZtGnTpsi5GzRooH5tZWUFwM2bNwtsm5iYyBtvvKF1zNPTU/06PT2da9eu4eXlpdXGy8uLxMTEEs+bmJhY4Bjnz58nJycHgCFDhvDdd9/x6NEjsrKyiIyMZNCgQYXG/XfXoiQxlURRc8THxxMREYGxsbH68vX1JTc3l4sXLxY43pw5czAzM1NfNWvWLHEsQgghhBBCCCHEqyIPlRNCiKd06tSJWrVqsXLlSqytrcnNzaV+/fpkZWWpbYyMjLT6zJ8/nyVLlrB48WJcXV0xMjJi9OjRap+SPgzu6YfTaTQaAK1SFS/L3523U6dO6OnpsWnTJnR1dcnOzqZHjx4Ftn2d1qKoOTIyMvjggw8ICgrK18/GxqbA8YKDgxk7dqz6Pm+HsBBCCCGEEEII8TqRHcJCCPH/3bp1i6SkJKZMmUKbNm1wcnLizp07xfaLiYmhc+fOvP/++7i5uWFnZ8e5c+fU8/b29hgYGBAdHf3CYnVycuLo0aNax44cOaJ+bWpqirW1NTExMflidXZ2LtU8BY3h4OBA+fLlAdDR0cHPz4/w8HDCw8Pp3bt3oYnfF7EWJYnp73J3dychIYG6devme+nq6hbYR09PD1NTU62XEEIIIYQQQgjxupEdwkII8f9VrFgRCwsLvvzyS6ysrEhJSWHSpEnF9rO3t2f9+vUcOnSIihUrsmjRIm7cuKEmXvX19Zk4cSITJkxAV1cXLy8v/vzzT86ePavWsC2tUaNG4e/vT5MmTfDy8mLNmjWcPXsWOzs7tc348eOZNm0aderUoWHDhoSHhxMXF8eaNWtKPM9HH32Eh4cHYWFh9OrVi8OHD7N8+fJ8D7ALCAjAyckJIF+y9mkvYi1KGtPfMXHiRJo1a0ZgYCABAQEYGRmRkJDA7t27Wb58+Qub53+N1C4VQgghhBBCiLInCWEhhPj/ypUrx9q1awkKCqJ+/fo4OjqydOlSWrZsWWS/KVOm8Mcff+Dr64uhoSFDhw6lS5cupKWlqW1CQkLQ0dFh6tSpXLt2DSsrK4YNG/bcsfbq1YsLFy4wYcIEHj16RPfu3fnwww/ZuXOn2iYoKIi0tDQ++ugjbt68ibOzM1FRUdjb25d4Hnd3d9atW8fUqVMJCwvDysqKGTNm4O/vr9XO3t6e5s2bc/v27Xy1jZ/1d9eipDH9HQ0aNGD//v1MnjyZN998E0VRqFOnDr169XphcwghhBBCCCGEEGVBoyiKUtZBCCGE+GdTFAV7e3uGDx+uVUf3f1lJn+4qhBBCCCGEEEK8CCX9OVR2CAshhPhb/vzzT9auXcv169cZOHBgWYcjhBBCCCGEEEKIIkhCWAghxN9StWpVKleuzJdffknFihXLOhwhhBBCCCGEEEIUoVxZByCE+GeKiIjA3Ny8rMN46TQaDZs3by70fHJyMhqNhri4uFcW0+ukZcuWjBo1ij///JO+ffvy4MEDunfvjqmpKRqNhrt3777ymJKSkrC0tOTevXsl7vP555/TqVOnlxiVEEIIIYQQQgjxepCEsBDiH6W4BO2LlpqayjvvvPPK5vun++abbzhw4ACHDh0iNTUVMzOzYvvs27fvhSaPg4ODGTlyJCYmJgA8evQIf39/XF1d0dHRoUuXLvn6DBo0iF9//ZUDBw4UGF9oaOgLiU0IIYQQQgghhChrUjJCCPFSZGVloaurW9ZhFCo7O5sKFSoU287S0vIVRPPvceHCBZycnKhfv36ZzJ+SksLWrVtZtmyZeiwnJwcDAwOCgoLYsGFDgf10dXXp27cvS5cu5c033wSe7Bru1q2b2iYrK4tly5YRFBRUos+OEEK8jmwnbXvuvslzO7zASIQQQgghRFmRHcJC/Mvt2LGDFi1aYG5ujoWFBR07duTChQvq+bySBxs3bqRVq1YYGhri5ubG4cOHtcaJiIjAxsYGQ0NDunbtyq1bt7TOh4aG0rBhQ7766itq166Nvr4+8CRB17lzZ4yNjTE1NaVnz57cuHGj0HizsrIIDAzEysoKfX19atWqxZw5cwCwtbUFoGvXrmg0GvU9wJYtW3B3d0dfXx87OzumT5/O48eP1fMajYYVK1bw7rvvYmRkxKxZswBYsWIFderUQVdXF0dHR7799luteJ7dkXzs2DEaNWqEvr4+TZo04eTJk8XcgSdxz5w5kwEDBmBsbEytWrWIiorizz//VNemQYMGnDhxQqvfhg0bcHFxQU9PD1tbWxYuXJhv3NmzZzNo0CBMTEywsbHhyy+/1Gpz+vRpWrdujYGBARYWFgwdOpSMjAz1/L59+2jatClGRkaYm5vj5eXFpUuXAPD398+3m3b06NG0bNmywOts2bIlCxcu5JdffkGj0ajtvv32W5o0aYKJiQmWlpb07duXmzdvAk8+f61atQKgYsWKaDQa/P39AcjNzWXOnDnUrl0bAwMD3NzcWL9+fZFrvW7dOtzc3Khevbp6zMjIiBUrVjBkyJAiE/ydOnUiKiqKhw8fAlCzZk3effddNm3axNmzZ2ndujXw5DMhhBBCCCGEEEL8U0lCWIh/ufv37zN27FhOnDhBdHQ05cqVo2vXruTm5mq1mzx5MuPGjSMuLg4HBwf69OmjJlSPHj3K4MGDCQwMJC4ujlatWjFz5sx8c/3+++9s2LCBjRs3EhcXR25uLp07d+b27dvs37+f3bt388cff9CrV69C4126dClRUVGsW7eOpKQk1qxZoyZ+jx8/DkB4eDipqanq+wMHDjBgwABGjRpFQkICX3zxBREREWrSN09oaChdu3bl9OnTDBo0iE2bNjFq1Cg++ugjzpw5wwcffMDAgQPZu3dvgbFlZGTQsWNHnJ2diY2NJTQ0lHHjxpXoPnzyySd4eXlx8uRJOnToQP/+/RkwYADvv/8+v/76K3Xq1GHAgAEoigJAbGwsPXv2pHfv3pw+fZrQ0FBCQkKIiIjQGnfhwoVqYnr48OF8+OGHJCUlAU/uva+vLxUrVuT48eP88MMP7Nmzh8DAQAAeP35Mly5d8Pb25tSpUxw+fJihQ4c+d8Jz48aNDBkyBE9PT1JTU9m4cSPwZDd2WFgY8fHxbN68meTkZDXpW7NmTXXXblJSEqmpqSxZsgSAOXPmsHr1aj7//HPOnj3LmDFjeP/999m/f3+hMRw4cIAmTZo8V/xNmjTh8ePHHD16FIAOHTqwc+dOdu3axfbt21m2bBkfffQROjoF/3FNZmYm6enpWi8hhBBCCCGEEOJ1IyUjhPiX6969u9b7r7/+mipVqpCQkKD1Z/3jxo2jQ4cnfwo6ffp0XFxc+P3336lXrx5LliyhXbt2TJgwAQAHBwcOHTrEjh07tMbOyspi9erVVKlSBYDdu3dz+vRpLl68SM2aNQFYvXo1Li4uHD9+HA8Pj3zxpqSkYG9vT4sWLdBoNNSqVUs9lzeuubm51k7P6dOnM2nSJPz8/ACws7MjLCyMCRMmMG3aNLVd3759GThwoPq+T58++Pv7M3z4cADGjh3LkSNHWLBggbpr9WmRkZHk5uayatUq9PX1cXFx4cqVK3z44YcFL/5T2rdvzwcffADA1KlTWbFiBR4eHrz33nsATJw4EU9PT27cuIGlpSWLFi2iTZs2hISEqGuekJDA/Pnz1WRq3rh58U+cOJFPPvmEvXv34ujoSGRkJI8ePWL16tUYGRkBsHz5cjp16sTHH39MhQoVSEtLo2PHjtSpUwcAJyenYq+lMJUqVcLQ0BBdXV2t+zNo0CD1azs7O5YuXYqHhwcZGRkYGxtTqVIlAKpWrao+qDAzM5PZs2ezZ88ePD091b4HDx7kiy++wNvbu8AYLl269NwJYUNDQ8zMzNQd0jt27GD69Om0bduWa9euERQURI8ePQgMDKR8+fL5+s+ZM4fp06c/19xCCCGEEEIIIcSrIjuEhfiXO3/+PH369MHOzg5TU1N1t21KSopWuwYNGqhfW1lZAah/1p+YmMgbb7yh1T4vSfe0WrVqqUnbvH41a9ZUk8EAzs7OmJubk5iYWGC8/v7+xMXF4ejoSFBQELt27Sr2GuPj45kxYwbGxsbqa8iQIaSmpvLgwQO13bOJwsTERLy8vLSOeXl5FRpbYmIiDRo0UMthQMHrUJCn17datWoAuLq65jv29JoXFNv58+fJyckpcFyNRoOlpaXWGG5ubmoyOG+M3NxckpKSqFSpEv7+/vj6+tKpUyeWLFlCampqia6nNGJjY+nUqRM2NjaYmJioydxnP4NP+/3333nw4AFvv/221n1dvXq1VsmTZz18+FDr/pSWgYGB+pm5ePEiW7ZsoWvXrri4uBAdHU12dna+3fV5goODSUtLU1+XL19+7jiEEEIIIYQQQoiXRXYIC/Ev16lTJ2rVqsXKlSuxtrYmNzeX+vXrk5WVpdXu6Ydk5ZUMKCzxVZinE4/Py93dnYsXL/LTTz+xZ88eevbsiY+PT5G1YzMyMpg+fbrWA8DyPJ0cfBHxPa+C1vdFrPmzDzfTaDSlGiM8PJygoCB27NjB999/z5QpU9i9ezfNmjWjXLlyagmLPNnZ2aWKL69sha+vL2vWrKFKlSqkpKTg6+ub7zP4tLw6x9u2bdOqBwygp6dXaL/KlStz586dUsX4tNu3b6u/1Mjb+Z2QkAA8efBcUSVC9PT0ioxNCCGEEEIIIYR4HUhCWIh/sVu3bpGUlMTKlSt58803ATh48GCpx3FyclLrquY5cuRIifpdvnyZy5cvq7uEExISuHv3Ls7OzoX2MzU1pVevXvTq1YsePXrQrl07bt++TaVKlahQoYLWDll4kkROSkqibt26pb6umJgYtdQEQExMTKGxOTk58e233/Lo0SM10VySdXgeebE9LSYmBgcHhwLLFRQ2RkREBPfv31eT4TExMZQrVw5HR0e1XaNGjWjUqBHBwcF4enoSGRlJs2bNqFKlCmfOnNEaMy4uLl8Suii//fYbt27dYu7cuepn4NmH5+nq6gJo3VdnZ2f09PRISUkptDxEQRo1aqQmcEvrwoULPHr0iEaNGmkdb9myZaEP0hNCCCGEEEIIIf5pJCEsxL9YxYoVsbCw4Msvv8TKyoqUlBQmTZpU6nGCgoLw8vJiwYIFdO7cmZ07d+arH1wQHx8fXF1d6devH4sXL+bx48cMHz4cb2/vQuu8Llq0CCsrKxo1akS5cuX44YcfsLS0VGvL2traEh0djZeXF3p6elSsWJGpU6fSsWNHbGxs6NGjB+XKlSM+Pp4zZ84U+PC7POPHj6dnz540atQIHx8ffvzxRzZu3MiePXsKbN+3b18mT57MkCFDCA4OJjk5mQULFhS/gM/ho48+wsPDg7CwMHr16sXhw4dZvnw5n332WYnH6NevH9OmTcPPz4/Q0FD+/PNPRo4cSf/+/alWrRoXL17kyy+/5N1338Xa2pqkpCTOnz/PgAEDAGjdujXz589n9erVeHp68t///pczZ87kS5gWxcbGBl1dXZYtW8awYcM4c+YMYWFhWm1q1aqFRqNh69attG/fHgMDA0xMTBg3bhxjxowhNzeXFi1akJaWRkxMDKamplpJ/Kf5+voSEBBATk6OVuI8ISGBrKwsbt++zb1794iLiwOgYcOGapsDBw5gZ2en1lMWQoh/o+S5Hco6BCGEEEIIUcakhrAQ/2LlypVj7dq1xMbGUr9+fcaMGcP8+fNLPU6zZs1YuXIlS5Yswc3NjV27djFlypRi+2k0GrZs2ULFihV566238PHxwc7Oju+//77QPiYmJsybN48mTZrg4eFBcnIy27dvp1y5J/9cLVy4kN27d1OzZk01Menr68vWrVvZtWsXHh4eNGvWjE8++UTrgXQF6dKlC0uWLGHBggW4uLjwxRdfEB4eXuhuUGNjY3788UdOnz5No0aNmDx5Mh9//HGx6/A83N3dWbduHWvXrqV+/fpMnTqVGTNmaD1QrjiGhobs3LmT27dv4+HhQY8ePWjTpg3Lly9Xz//22290794dBwcHhg4dyogRI9SH3/n6+hISEsKECRPw8PDg3r17arK4pKpUqUJERAQ//PADzs7OzJ07N18SvXr16uqDAatVq0ZgYCAAYWFhhISEMGfOHJycnGjXrh3btm2jdu3ahc73zjvvoKOjky+p3759exo1asSPP/7Ivn371F3RT/vuu+8YMmRIqa5PCCGEEEIIIYT4p9EozxaIFEIIIf7BPv30U6Kioti5c2eJ+5w9e5bWrVtz7tw5zMzMXkgc6enpmJmZkZaWhqmp6QsZUwghhBBCCCGEKExJfw6VkhFCCCH+VT744APu3r3LvXv3MDExKVGf1NRUVq9e/cKSwUIIIYQQQgghxOtKdggLIYQQL4HsEBZCCCGEEEII8SqV9OdQqSEshPjX8Pf3p0uXLn9rjH379qHRaLh79+7fGiciIkJ9EN6r8qJif1Vu3bpF1apVSU5OLutQyMrKwtbWlhMnTpR1KEIIIYQQQgghxEslCWEhxAs1Z84cPDw8MDExoWrVqnTp0oWkpKSyDqvEmjdvTmpqqlo6oCwSu6/CyZMn6dWrF1ZWVujp6VGrVi06duzIjz/+SN4fjiQnJ6PRaNSXhYUFbdu25eTJk1pj/f777wwcOJAaNWqgp6dH7dq16dOnT7HJ1VmzZtG5c2dsbW3VY0FBQTRu3Bg9PT0aNmxYYD9FUViwYAEODg7o6elRvXp1Zs2aVeRcGzdupG3btlhYWKDRaIiLi9M6r6ury7hx45g4cWKB/Qt70KAQQgghhBBCCPFPIzWEhRAv1P79+xkxYgT/j737Dq/x/h8//jzI3gkRCZEdCZFhxybEitUaoSKIUXuP1lY79qqiSaiUUiNFKSpq71iJGBVpiVIhRIyQ8/vDL/fXka2I9vN6XNe5Lue+3+N13/c5x5XXeZ/XXaVKFV68eMEXX3xB48aNiY2NxcDAoLDDy5O2tjZWVlaFHcZ7tXXrVtq3b4+fnx8RERE4OTnx7NkzDh8+zNixY6ldu7ZGEnzPnj2UL1+eP//8k4EDB9K0aVMuXbqEqakpJ0+epGHDhlSoUIHly5dTrlw5Hj16xNatWxk2bBj79+/PNoa0tDRWrVqV7Y3funfvzrFjxzh37ly2fQcNGsQvv/xCaGgoHh4eJCcnk5ycnOsxP378mFq1atG+fXt69uyZbZvOnTszbNgwLl68SPny5bl8+TKnT5+mY8eOSpvTp09z69YtWrRoket8QgjxsbIbvb2wQxDvScKM5oUdghBCCCH+JWSFsBDindq5cyfBwcGUL18eT09PwsPDSUxM5NSpUzn2yVyJum7dOnx9fdHV1aVChQoaycSXL1/So0cP7O3t0dPTw9XVlQULFuQaS7169RgwYACDBw/GzMyMkiVLsmLFCh4/fky3bt0wMjLCycmJn3/+WenzetmF6OhounXrRkpKirJKduLEiQDcv3+foKAgzMzM0NfXp2nTply5ciXXeLZu3YqPjw+6uro4ODgwadIkXrx4oexPTEykVatWGBoaYmxsTPv27fnrr7+Uc1SkSJEsq27nz59P2bJlycjIyHXuTI8fP6ZHjx40b96c7du307hxYxwcHHBzc6NHjx6cPXs2y43VLCwssLKyonLlyoSGhvLXX39x7Ngx1Go1wcHBODs7c+DAAZo3b46joyNeXl5MmDCBrVu35hjHjh070NHRoXr16hrbFy5cSL9+/XBwcMi2X1xcHMuWLWPr1q20bNkSe3t7KlWqRKNGjXI97i5dujB+/Hj8/PxybGNmZkbNmjVZt24dAMWLF2ffvn20b9+eBw8eMH78eMaMGZNjbEIIIYQQQgghxL+BJISFEO9VSkoKAObm5nm2HTFiBMOGDePMmTPUqFGDgIAA7t27B0BGRgalS5dmw4YNxMbGMn78eL744gt++OGHXMeMiIigePHiHD9+nAEDBvD555/Trl07fH19OX36NI0bN6ZLly6kpaVl6evr68v8+fMxNjYmKSmJpKQkhg8fDryqV3zy5EmioqI4cuQIarWaZs2akZ6enm0cBw4cICgoiEGDBhEbG8vy5csJDw9XSh1kZGTQqlUrkpOT2b9/P7t37+b333+nQ4cOANjZ2eHn50dYWJjGuGFhYQQHB1OkSP4+zn/55Rfu3bvHyJEjc2yjUqly3Kenpwe8qrkbExPDxYsXGTZsWLbz51Zq48CBA1SqVClfMb/up59+wsHBgW3btmFvb4+dnR0hISEaK4Qzv2CIjo4u8PhVq1blwIEDwKvX7PLly/Hz8+Ps2bNcu3aNXbt24e7unm3fZ8+e8fDhQ42HEEIIIYQQQgjxsZGEsBDivcnIyGDw4MHUrFmTChUq5Nm+f//+fPLJJ7i5ubFs2TJMTExYtWoVAFpaWkyaNInKlStjb29P586d6datW54JYU9PT8aOHYuzszNjxoxBV1eX4sWL07NnT5ydnRk/fjz37t3LtjyBtrY2JiYmqFQqrKyssLKywtDQkCtXrhAVFcXKlSupXbs2np6erF27lps3b7Jly5Zs45g0aRKjR4+ma9euODg40KhRI6ZMmcLy5csB2Lt3L+fPnycyMpJKlSpRrVo1Vq9ezf79+zlx4gQAISEhfP/99zx79gx4Vb7g/PnzdOvWLc9zm+ny5csAuLq6KttOnDiBoaGh8ti2bVu2fR88eMCUKVMwNDSkatWqyorocuXK5Xv+TDdu3MDa2rrA/X7//Xdu3LjBhg0bWL16NeHh4Zw6dYpPP/1UaaOlpYWrqyv6+voFHt/a2pobN24Ar1aB9+3blz179uDp6YmjoyNNmzbNsSb29OnTMTExUR5lypQp8PxCCCGEEEIIIcT7JglhIcR7069fPy5cuKD8BB+gT58+GsnH19WoUUP5d7FixahcuTJxcXHKtiVLllCpUiVKlCiBoaEh33zzDYmJibnGULFiReXfRYsWxcLCAg8PD2VbyZIlAbhz506+jysuLo5ixYpRrVo1ZZuFhQWurq4a8b7u7NmzTJ48WePYe/bsSVJSEmlpacTFxVGmTBmNJKK7uzumpqbKmK1bt6Zo0aJs3rwZeHXDu/r162vclO11r8/Vp0+fHI+nYsWKxMTEEBMTw+PHjzXKWMCrldKGhoaYmZlx9uxZ1q9fT8mSJZWbz72NJ0+eoKurW+B+GRkZPHv2jNWrV1O7dm3q1avHqlWr2Ldvn5KotbGx4dKlS1StWrXA4+vp6Smrxe/cuUPt2rX54YcfMDU1ZfLkyUydOlVJqr9pzJgxpKSkKI8//vijwPMLIYQQQgghhBDvm9xUTgjxXvTv359t27bx22+/Ubp0aWX75MmTlbILBbFu3TqGDx/OnDlzqFGjBkZGRsyePZtjx47l2k9LS0vjuUql0tiWWR4hvzV431ZqaiqTJk2ibdu2WfblNzGqra1NUFAQYWFhtG3blsjIyFzrKMfExCj/NjY2BsDZ2RmA+Ph4pX6vjo4OTk5OOY6zfv163N3dsbCw0CgD4eLiAsClS5fw9vbO1zFkKl68OPfv3y9QH4BSpUpRrFgxZW4ANzc34FUN5tdXloBrnAABAABJREFUPr+N5ORkSpQoAbxaRf3meD4+Pvj4+GTbV0dHBx0dnX80vxBCCCGEEEII8b7JCmEhxDulVqvp378/mzdv5tdff8Xe3l5jv6WlJU5OTsrjdUePHlX+/eLFC06dOqUk+w4dOoSvry99+/bF29sbJycnrl279t6PR1tbm5cvX2psc3Nz48WLFxrJ6Hv37hEfH59jfVkfHx/i4+M1jj3zUaRIEdzc3Pjjjz80VpXGxsby4MEDjTFDQkLYs2cPS5cu5cWLF9kmmDO9PoelpSUAjRs3xtzcnJkzZ+b7HJQpUwZHR8csNYG9vLxwd3dnzpw52SbUHzx4kOOY3t7exMbG5juGTDVr1uTFixca1z5zxW7ZsmULPN6bLly4kG1y+23qEQshhBBCCCGEEB8jWSEshHin+vXrR2RkJFu3bsXIyIjbt28DYGJiotyQLCdLlizB2dkZNzc35s2bx/379+nevTvwamXr6tWr2bVrF/b29qxZs4YTJ05kSTi/a3Z2dqSmprJ37148PT3R19fH2dmZVq1a0bNnT5YvX46RkRGjR4/GxsaGVq1aZTvO+PHjadGiBba2tnz66acUKVKEs2fPcuHCBb766iv8/Pzw8PCgc+fOzJ8/nxcvXtC3b1/q1q1L5cqVlXHc3NyoXr06o0aNonv37nme0zcZGhqycuVKOnToQPPmzRk4cCDOzs6kpqayc+dO4FVpjfxQqVSEhYXh5+dH7dq1+fLLLylXrhypqan89NNP/PLLL+zfvz/bvv7+/owZM4b79+9jZmambL969Sqpqancvn2bJ0+eKKuc3d3d0dbWxs/PDx8fH7p37878+fPJyMigX79+NGrUSFk1fPPmTRo2bMjq1auVshHJyckkJiZy69YtAKW8RGZt6EwHDhxgypQpBTijQgjx75Iwo3lhhyCEEEIIIQqZrBAWQrxTy5YtIyUlhXr16lGqVCnlsX79+jz7zpgxgxkzZuDp6cnBgweJioqiePHiAPTu3Zu2bdvSoUMHqlWrxr179+jbt+/7Phx8fX3p06cPHTp0oESJEsyaNQuAsLAwKlWqRIsWLahRowZqtZodO3ZkKVGRyd/fn23btvHLL79QpUoVqlevzrx585RVrSqViq1bt2JmZkadOnXw8/PDwcEh2/PWo0cPnj9/riTLC6pNmzYcPnwYfX19goKCcHV1pUGDBvz666+sW7eOFi1a5HusqlWrcvLkSZycnOjZsydubm60bNmSixcvMn/+/Bz7eXh44OPjk+WmgCEhIXh7e7N8+XIuX76Mt7c33t7eSiK3SJEi/PTTTxQvXpw6derQvHlz3NzcNOpUp6enEx8fr9QCBoiKisLb25vmzV8lQjp27Ii3tzdff/210ubIkSOkpKRo3KBOCCGEEEIIIYT4r1Gp/8ldgYQQ4h1ISEjA3t6eM2fO4OXlVdjhfPSmTJnChg0bOHfuXGGH8o9s376dESNGcOHCBYoUKfzvJzt06ICnpydffPHFOxnv4cOHmJiYkJKSotRwFkIIIYQQQggh3pf8/h0qJSOEEOJfIjU1lYSEBBYvXsxXX31V2OH8Y82bN+fKlSvcvHmTMmXKFGosz58/x8PDgyFDhhRqHEIIIYQQQgghxPtW+EuyhBBC5Ev//v2pVKkS9erVe+tyER+bwYMHF3oyGF7dPHDs2LEFrskshBBCCCGEEEL820hCWAhR6Ozs7FCr1R9FuYjw8HBMTU1zbRMcHEzr1q1zbVOvXj0GDx78zuKCV7E9e/aM9evX5/vGb2+ys7PLtbbvx6ROnTpERkYWdhj8/fffWFpa8ueffxZ2KEIIIYQQQgghxD8mCWEhxHv122+/ERAQgLW1NSqVii1bthR2SP/YggULCA8PL+ww3quHDx8ybtw4ypcvj56eHhYWFlSpUoVZs2Zx//59pV29evVQqVSoVCp0dXVxd3dn6dKlWcYrV64cOjo63L59O1/zR0VF8ddff9GxY0cAkpOTGTBgAK6urujp6WFra8vAgQNJSUnR6JeYmEjz5s3R19fH0tKSESNG8OLFi3wfd58+fVCpVBpJ8+LFixMUFMSECRPyPY4QQgghhBBCCPGxkhrCQoj36vHjx3h6etK9e3fatm373uZ5+fIlKpXqg9yczMTE5L3PUZiSk5OpVasWDx8+ZMqUKVSqVAkTExPi4+MJCwsjMjKSfv36Ke179uzJ5MmTSUtLY/Xq1fTr1w8zMzMCAwMBOHjwIE+ePOHTTz8lIiKCUaNG5RnDwoUL6datm3I9b926xa1btwgNDcXd3Z0bN27Qp08fbt26xcaNG4FXr4HmzZtjZWXF4cOHSUpKIigoCC0tLaZNm5bnnJs3b+bo0aNYW1tn2detWzcqVarE7NmzMTc3z9d5FEKIj5Hd6O2FHcI7kTCjeWGHIIQQQgjxryUrhIUQ71XTpk356quvaNOmTYH6zZ07Fw8PDwwMDChTpgx9+/YlNTVV2Z9Z2iEqKgp3d3d0dHRITEzkxIkTNGrUiOLFi2NiYkLdunU5ffq0xtgPHjygd+/elCxZEl1dXSpUqMC2bds02uzatQs3NzcMDQ1p0qQJSUlJyr43S0Y8fvyYoKAgDA0NKVWqFHPmzMlyPPfv3ycoKAgzMzP09fVp2rQpV65cyXI8uc2bkZHB5MmTKV26NDo6Onh5ebFz505lf4MGDejfv7/GvHfv3kVbW5u9e/fm88zDF198QWJiIsePH6dbt25UrFiRsmXL0rhxY77//nv69u2r0V5fXx8rKyscHByYOHEizs7OREVFKftXrVpFp06d6NKlC99++22e89+9e5dff/2VgIAAZVuFChX48ccfCQgIwNHRkQYNGjB16lR++uknZQXwL7/8QmxsLN999x1eXl40bdqUKVOmsGTJEp4/f57rnDdv3mTAgAGsXbsWLS2tLPvLly+PtbU1mzdvzjN+IYQQQgghhBDiYyYJYSHER6lIkSIsXLiQixcvEhERwa+//srIkSM12qSlpTFz5kxWrlzJxYsXsbS05NGjR3Tt2pWDBw9y9OhRnJ2dadasGY8ePQJeJVWbNm3KoUOH+O6774iNjWXGjBkaNXnT0tIIDQ1lzZo1/PbbbyQmJjJ8+PAcYx0xYgT79+9n69at/PLLL0RHR2dJQgcHB3Py5EmioqI4cuQIarWaZs2akZ6enu95FyxYwJw5cwgNDeXcuXP4+/vTsmVLJbEcEhJCZGQkz549U/p899132NjY0KBBg3yd94yMDNavX89nn32W7UpZAJVKlesYenp6SgL20aNHbNiwgc8++4xGjRqRkpLCgQMHcu1/8OBB9PX1cXNzy7VdSkoKxsbGFCv26scuR44cwcPDg5IlSypt/P39efjwIRcvXgQgISEBlUpFdHS0xjF36dKFESNGUL58+Rznq1q1aq6xP3v2jIcPH2o8hBBCCCGEEEKIj40khIUQH6XBgwdTv3597OzsaNCgAV999RU//PCDRpv09HSWLl2Kr68vrq6u6Ovr06BBAz777DPKlSuHm5sb33zzDWlpaezfvx+APXv2cPz4cTZt2kSjRo1wcHCgRYsWNG3aVGPcr7/+msqVK+Pj40P//v1zXGGbmprKqlWrCA0NpWHDhnh4eBAREaFRt/bKlStERUWxcuVKateujaenJ2vXruXmzZsaNZXzmjc0NJRRo0bRsWNHXF1dmTlzJl5eXkq928ySHFu3blX6hIeHExwcnGcSN9Pdu3d58OABrq6uGtsrVaqEoaEhhoaGSimIN718+ZLvvvuOc+fOKQnodevW4ezsTPny5SlatCgdO3Zk1apVucZw48YNSpYsmWv5j7///pspU6bQq1cvZdvt27c1ksGA8jyzdrGWlpbyWsk0c+ZMihUrxsCBA3ONy9ramhs3buS4f/r06ZiYmCiPMmXK5DqeEEIIIYQQQghRGCQhLIQoVNOmTVMSjYaGhiQmJgKvErcNGzbExsYGIyMjunTpwr1790hLS1P6amtrU7FiRY3x/vrrL3r27ImzszMmJiYYGxuTmpqqjBsTE0Pp0qVxcXHJMSZ9fX0cHR2V56VKleLOnTvZtr127RrPnz+nWrVqyjZzc3ONhGpcXBzFihXTaGNhYYGrqytxcXH5mvfhw4fcunWLmjVrasxfs2ZNZQxdXV2NsgynT5/mwoULBAcHZxt7nz59NM59bjZv3kxMTAz+/v48efJEY9/SpUsxNDRET0+Pnj17MmTIED7//HMAvv32Wz777DOl7WeffcaGDRuUFdvZefLkCbq6ujnuf/jwIc2bN8fd3Z2JEyfmGvebbGxsuHTpElWrVgXg1KlTyk0C87Py+fXX35vGjBlDSkqK8vjjjz8KFJsQQgghhBBCCPEhSEJYCFGo+vTpQ0xMjPKwtrYmISGBFi1aULFiRX788UdOnTrFkiVLADRqwerp6WVJ4nXt2pWYmBgWLFjA4cOHiYmJwcLCQumnp6eXZ0xv1pBVqVSo1ep/eqgfZN6QkBB2797Nn3/+SVhYGA0aNKBs2bLZtp08ebLGuQcoUaIEpqamxMfHa7S1tbXFyckJIyOjLON07tyZmJgYrl+/zuPHj5k7dy5FihQhNjaWo0ePMnLkSIoVK0axYsWoXr06aWlprFu3LsdjKF68OPfv389236NHj2jSpAlGRkZs3rxZ45xZWVnx119/abTPfG5lZZXteAcOHODOnTvY2toqMd64cYNhw4ZhZ2en0TY5OZkSJUrkGLeOjg7GxsYaDyGEEEIIIYQQ4mMjCWEhRKEyNzfHyclJeRQrVoxTp06RkZHBnDlzqF69Oi4uLty6dStf4x06dIiBAwfSrFkzypcvj46ODn///beyv2LFivz5559cvnz5ncTv6OiIlpYWx44dU7bdv39fY3w3NzdevHih0ebevXvEx8fj7u6er3mMjY2xtrbm0KFDGtsPHTqkMYaHhweVK1dmxYoVREZG0r179xzHtLS01Dj38Kp2c/v27fnuu+/yfc5NTExwcnLCxsZGo8zDqlWrqFOnDmfPntVIPA8dOjTXshHe3t7cvn07S1L44cOHNG7cGG1tbaKiorKsIq5Rowbnz5/XWM29e/dujI2NczzPXbp04dy5c1m+lBgxYgS7du3SaHvhwgW8vb3zdU6EEEIIIYQQQoiPVbHCDkAI8d+WmprK1atXlefXr18nJiYGc3NzbG1ts+3j5OREeno6ixYtIiAggEOHDvH111/naz5nZ2fWrFlD5cqVefjwISNGjNBYFVy3bl3q1KnDJ598wty5c3FycuLSpUuoVCqaNGlS4OMzNDSkR48ejBgxAgsLCywtLfnyyy81EqPOzs60atWKnj17snz5coyMjBg9ejQ2Nja0atUq33ONGDGCCRMm4OjoiJeXF2FhYcTExLB27VqNdiEhIfTv3x8DAwPatGlT4GOaNm0a0dHRVK1alcmTJ1O5cmUMDAw4d+4cR44coUKFCnmOkZ6ezpo1a5g8eXKW9iEhIcydO5eLFy9mexM3b29vihcvzqFDh2jRogXwf8ngtLQ0vvvuO42btpUoUYKiRYvSuHFj3N3d6dKlC7NmzeL27duMHTuWfv36oaOjA8DNmzdp2LAhq1evpmrVqlhYWGBhYaExv5aWFlZWVhplP9LS0jh16hTTpk0r2MkUQoiPTMKM5oUdghBCCCGEKGSyQlgI8V6dPHkSb29vZWXl0KFD8fb2Zvz48Tn28fT0ZO7cucycOZMKFSqwdu1apk+fnq/5Vq1axf379/Hx8aFLly4MHDgQS0tLjTY//vgjVapUITAwEHd3d0aOHMnLly/f+hhnz55N7dq1CQgIwM/Pj1q1alGpUiWNNmFhYVSqVIkWLVpQo0YN1Go1O3bsyFImIjcDBw5k6NChDBs2DA8PD3bu3ElUVBTOzs4a7QIDAylWrBiBgYG51uLNiYWFBcePHycoKIjZs2dTtWpVPDw8mDhxIh06dGDFihV5jhEVFcW9e/eyTUi7ubnh5uaW4yrhokWL0q1bN41E9+nTpzl27Bjnz5/HycmJUqVKKY/MWr1FixZl27ZtFC1alBo1avDZZ58RFBTE5MmTlXHS09OJj4/PtRZwdrZu3YqtrS21a9cuUD8hhBBCCCGEEOJjo1J/iMKYQgghPpiEhAQcHR05ceIEPj4+hR3OW7l9+zbly5fn9OnTOdZA/pCqV6/OwIED6dSpU777PHz4EBMTE1JSUqSesBBCCCGEEEKI9y6/f4fKCmEhhPiPSE9PV8okVK9e/V+bDIZXN4FbtWoViYmJhR0Kf//9N23btiUwMLCwQxFCCCGEEEIIIf4xWSEshBD/EdHR0dSvXx8XFxc2btyIh4dHYYf0P01WCAshhBBCCCGE+JBkhbD4nxQdHY1KpeLBgwf/aBw7Ozvmz5//TmLKTb169Rg8eHCubVQqFVu2bAFelQJQqVTExMS80zhen+NDeRfn+F1d7w8hP+f43r17WFpakpCQ8FZz1KtXD7VaTXx8/H8uGbxz5068vLzIyMjItV1wcDAqlarAr+nM15JKpaJ169b/LFghhBBCCCGEEOIjJglhIbJx4sQJevXqpTwvjIRpdsqUKUNSUhIVKlQo7FDEezB16lRatWqFnZ2dsm3gwIFUqlQJHR0dvLy8su2nVqsJDQ3FxcUFHR0dbGxsmDp1aq5zqdVqxo8fT6lSpdDT08PPz48rV65kaffkyRMMDAy4evUqSUlJdOrUCRcXF4oUKZLjlxnz58/H1dUVPT09ypQpw5AhQ3j69GmOsSQkJNCjRw/s7e3R09PD0dGRCRMm8Pz5c6VNkyZN0NLS0rjRXE6aNGlCUlISTZs2zff4vr6+JCUl0b59+2zHrFevXp7zCiGEEEIIIYQQ/wbFCjsAIT5GJUqUKOwQslW0aFGsrKwKOwzxmvT0dLS0tP7xOGlpaaxatYpdu3Zl2de9e3eOHTvGuXPnsu07aNAgfvnlF0JDQ/Hw8CA5OZnk5ORc55s1axYLFy4kIiICe3t7xo0bh7+/P7Gxsejq6irtdu/eTdmyZXFyciIhIYESJUowduxY5s2bl+24kZGRjB49mm+//RZfX18uX76srNqdO3dutn0uXbpERkYGy5cvx8nJiQsXLtCzZ08eP35MaGio0i44OJiFCxfSpUuXXI9NR0dH432Sn/G1tbWxsrJCT0+PZ8+eAbBt2zasra01ajGvW7cOHx8fXFxcco1BCCE+VnajtxfKvAkzmhfKvEIIIYQQIitZISw+GvXq1aN///70798fExMTihcvzrhx43i9zPWaNWuoXLkyRkZGWFlZ0alTJ+7cuZPjmOHh4ZiamrJt2zZcXV3R19fn008/JS0tjYiICOzs7DAzM2PgwIG8fPlS6fd6OYPM1Zpt2rRBpVJprN5ctmwZjo6OaGtr4+rqypo1a5R93bt3p0WLFhrxpKenY2lpyapVq97qHL1ZMiLzZ+579+6lcuXK6Ovr4+vrS3x8vEa/3OLMzh9//EH79u0xNTXF3NycVq1aaZQxyMjIYPLkyZQuXVpZubpz505lf4MGDejfv7/GmHfv3kVbW5u9e/fm+3gPHz6Ml5cXurq6VK5cmS1btuRYMuPx48cYGxuzceNGje1btmzBwMCAR48eAfDnn38SGBiIubk5BgYGVK5cmWPHjintt27dio+PD7q6ujg4ODBp0iRevHih7FepVCxbtoyWLVtiYGCgrMQt6Dl+044dO9DR0aF69eoa2xcuXEi/fv1wcHDItl9cXBzLli1j69attGzZEnt7eypVqkSjRo1ynEutVjN//nzGjh1Lq1atqFixIqtXr+bWrVtZVsJnjguv3gsLFiwgKCgIExOTbMc+fPgwNWvWpFOnTtjZ2dG4cWMCAwM5fvx4jvE0adKEsLAwGjdujIODAy1btmT48OFs2rRJo11AQAAnT57k2rVrOY71T8Z/k4ODA2PGjGHChAk8ePCA9u3bs2/fPooXL16g+YUQQgghhBBCiI+JJITFRyUiIoJixYpx/PhxFixYwNy5c1m5cqWyPz09nSlTpnD27Fm2bNlCQkICwcHBuY6ZlpbGwoULWbduHTt37iQ6Opo2bdqwY8cOduzYwZo1a1i+fHmWRGKmEydOABAWFkZSUpLyfPPmzQwaNIhhw4Zx4cIFevfuTbdu3di3bx8AISEh7Ny5k6SkJGWsbdu2kZaWRocOHf7Jacriyy+/ZM6cOZw8eZJixYrRvXt3ZV9ecb4pPT0df39/jIyMOHDgAIcOHcLQ0JAmTZooP7FfsGABc+bMITQ0lHPnzuHv70/Lli2VkgMhISFERkYqKy0BvvvuO2xsbGjQoEG+junhw4cEBATg4eHB6dOnmTJlCqNGjcqxvYGBAR07diQsLExje1hYGJ9++ilGRkakpqZSt25dbt68SVRUFGfPnmXkyJFKXdoDBw4QFBTEoEGDiI2NZfny5YSHh2cpvzBx4kTatGnD+fPn6d69e4HPcXYOHDhApUqV8t0+008//YSDgwPbtm3D3t4eOzs7QkJCNFYIZ36REB0dDcD169e5ffs2fn5+ShsTExOqVavGkSNHlG0ZGRls27aNVq1a5TseX19fTp06pSSAf//9d3bs2EGzZs2UNuHh4ahUqlzHSUlJwdzcXGObra0tJUuW5MCBA/mOpyDjv8nd3Z1du3Zx5coVzp49i5+fH8uXL8+x37Nnz3j48KHGQwghhBBCCCGE+NhIyQjxUSlTpgzz5s1DpVLh6urK+fPnmTdvHj179gTQSHQ6ODiwcOFCqlSpQmpqKoaGhtmOmZ6erqzeBPj0009Zs2YNf/31F4aGhri7u1O/fn327duXbaI2s3yEqampxs/QQ0NDCQ4Opm/fvgAMHTqUo0ePEhoaSv369fH19VVWio4cORJ4lZxs165djrG+ralTp1K3bl0ARo8eTfPmzXn69Cm6urp5xvmm9evXk5GRwcqVK5WkXVhYGKampkRHR9O4cWNCQ0MZNWoUHTt2BGDmzJns27eP+fPns2TJEtq2bUv//v3ZunWrUpM1PDxcKR2QH5GRkahUKlasWIGuri7u7u7cvHlTeS1kJyQkRKkFW6pUKe7cucOOHTvYs2ePMubdu3c5ceKEktRzcnJS+k+aNInRo0fTtWtX4NVrbMqUKYwcOZIJEyYo7Tp16kS3bt2U54GBgQU6x9m5ceMG1tbW+Wr7ut9//50bN26wYcMGVq9ezcuXLxkyZAiffvopv/76KwBaWlrKCnmA27dvA1CyZEmNsUqWLKnsAzh69CgA1apVy3c8nTp14u+//6ZWrVqo1WpevHhBnz59+OKLL5Q2JiYmuLq65jjG1atXWbRokUa5iEzW1tbcuHEj3/EUdPzXxcfHM3jwYKpUqYKnpyd79uwhJiaGqVOnYmZmlqX99OnTmTRp0j+KTQghhBBCCCGEeN9khbD4qFSvXl0jYVijRg2uXLmilHM4deoUAQEB2NraYmRkpCRBExMTcxxTX19fSQbDq6SXnZ2dRlK2ZMmSuZaeyE5cXBw1a9bU2FazZk3i4uKU5yEhIcqK1b/++ouff/5ZI6n9umnTpmFoaKg8cjumN1WsWFH5d6lSpQCU48lPnK87e/YsV69excjISInF3Nycp0+fcu3aNR4+fMitW7dyHVNXV5cuXbrw7bffAnD69GkuXLiQ42ruPn36aBw7vErGVaxYUaOebdWqVXM9D1WrVqV8+fJEREQAr1Ylly1bljp16gAQExODt7d3jis8z549y+TJkzVi6dmzJ0lJSaSlpSntKleurNGvoOc4O0+ePNE41vzKyMjg2bNnrF69mtq1a1OvXj1WrVrFvn37lNIhNjY2XLp0Kc/z96atW7fSokULihTJ/38V0dHRTJs2jaVLl3L69Gk2bdrE9u3bmTJlitKmTZs2XLp0Kdv+N2/epEmTJrRr1y7b5L+enp7GtSiovMZ/3eXLl5k6dSqTJ0/G1NSUH374gdq1a3P37t1s248ZM4aUlBTl8ccff7x1nEIIIYQQQgghxPsiK4TFv8bjx4/x9/fH39+ftWvXUqJECRITE/H391dKGWTnzRt+qVSqbLdllg14l4KCghg9ejRHjhzh8OHD2NvbU7t27Wzb9unTR1lNCxRotejrx5OZUH/b40lNTaVSpUqsXbs2y76C3GwvJCQELy8v/vzzT8LCwmjQoAFly5bNtu3kyZMZPnz4W8Wb3bxLlixh9OjRhIWF0a1bN+Wc6Onp5do3NTWVSZMm0bZt2yz7Xk/WGhgYvJNYX1e8eHHu379f4H6lSpWiWLFiGjc5c3NzA159UZLdStzMle5//fWX8gVC5nMvLy/leVRUFDNmzChQPOPGjaNLly6EhIQA4OHhwePHj+nVqxdffvllrsnlW7duKavrv/nmm2zbJCcnv/VNH/Mz/usCAgKybAsMDMyxvY6ODjo6Om8VmxBCCCGEEEII8aFIQlh8VF6/uRe8+sm6s7MzRYsW5dKlS9y7d48ZM2ZQpkwZAE6ePPlB4tLS0tK46Ry8SrodOnRIKS8AcOjQIdzd3ZXnFhYWtG7dmrCwMI4cOaJRZuBN5ubmedY0fRv5ifN1Pj4+rF+/HktLS4yNjbNtY21tzaFDh5QV2pljvr4C1cPDg8qVK7NixQoiIyNZvHhxjjFaWlpiaWmpsc3V1ZXvvvuOZ8+eKUm2zPrNufnss88YOXIkCxcuJDY2VuO4K1asyMqVK0lOTs72XPv4+BAfH69RRiI/CnqOs+Pt7c13331XoHnh1UrkFy9ecO3aNWUl/OXLlwFyTMDb29tjZWXF3r17lQTww4cPOXbsGJ9//jkAV65c4caNG7nenC47aWlpWZK+RYsWBdC4QeSbbt68Sf369alUqRJhYWHZJo4zV6l7e3sXKKb8jp+bzPrLQgjxb5cwo3lhhyCEEEIIIQqZlIwQH5XExESGDh1KfHw833//PYsWLWLQoEHAqxtKaWtrs2jRIn7//XeioqI0fob+PtnZ2bF3715u376trOIcMWIE4eHhLFu2jCtXrjB37lw2bdqUZaVrSEgIERERxMXFaSQMP5T8xpmpc+fOFC9enFatWnHgwAGuX79OdHQ0AwcO5M8//1TGnDlzJuvXryc+Pp7Ro0cTExOjXKtMISEhzJgxA7VaTZs2bQoUd6dOncjIyKBXr17ExcWxa9cupeZrbnWIzczMaNu2LSNGjKBx48aULl1a2RcYGIiVlRWtW7fm0KFD/P777/z444/KjdTGjx/P6tWrmTRpEhcvXiQuLo5169YxduzYXGMt6DnOjr+/PxcvXsyySvjq1avExMRw+/Ztnjx5QkxMDDExMcqqeD8/P3x8fOjevTtnzpzh1KlT9O7dm0aNGimrhm/evEm5cuWUG72pVCoGDx7MV199RVRUFOfPnycoKAhra2tat24NvCoX4efnp9QdzpQ5f2pqKnfv3iUmJobY2Fhlf0BAAMuWLWPdunVcv36d3bt3M27cOAICApTE8ObNmylXrpzS5+bNm9SrVw9bW1tCQ0O5e/cut2/f1qhnDK++INLR0aFGjRr5Pq8FGV8IIYQQQgghhPhfICuExUclKCiIJ0+eULVqVYoWLcqgQYPo1asX8KpcQXh4OF988QULFy7Ex8eH0NBQWrZs+d7jmjNnDkOHDmXFihXY2NiQkJBA69atWbBgAaGhoQwaNAh7e3vCwsKoV6+eRl8/Pz9KlSpF+fLl3+qmYf9UfuPMpK+vz2+//caoUaNo27Ytjx49wsbGhoYNGyorhgcOHEhKSgrDhg3jzp07uLu7ExUVhbOzs8ZYgYGBDB48mMDAwALXxzU2Nuann37i888/x8vLCw8PD8aPH0+nTp3yHKtHjx5ERkZmqdesra3NL7/8wrBhw2jWrBkvXrzA3d2dJUuWAK+Sstu2bWPy5MnMnDkTLS0typUrp5Q/yElBz3F2PDw88PHx4YcffqB3797K9pCQEPbv3688z1wde/36dezs7ChSpAg//fQTAwYMoE6dOhgYGNC0aVPmzJmj9ElPTyc+Pl6j9u7IkSOVUg4PHjygVq1a7Ny5Uzm3W7duzfYLjNdX5546dYrIyEjKli1LQkICAGPHjkWlUjF27Fhu3rxJiRIlCAgIYOrUqUq/lJQUpb4xwO7du7l69SpXr17VSOCD5qri77//ns6dO2dJUuclv+MLIYQQQgghhBD/C1Rq+WtYfCTq1auHl5cX8+fPL+xQ3qnU1FRsbGwICwvLtjbtf1lCQgKOjo6cOHECHx+ffzze2rVr6datGykpKbnWA16zZg1Dhgzh1q1baGtr/+N5P5Tt27czYsQILly4UOCSBu/S33//TalSpfjzzz8pWbJkocXxur///htXV1dOnjyJvb19ju2Cg4N58OABW7Zseat5/mn/1z18+BATExNSUlJyLL8ihBBCCCGEEEK8K/n9O1RKRgjxnmRkZHDnzh2mTJmCqanpB1nJ/LFIT0/n9u3bjB07lurVq791Mnj16tUcPHiQ69evs2XLFkaNGkX79u1zTAanpaVx7do1ZsyYQe/evf9VyWCA5s2b06tXL27evFmocSQnJzN37tyPJhkMr75cWLp0aa7J4Ezbtm3D0NCQbdu25Xv8AwcOYGhomO3NFIUQQgghhBBCiP8SSQiL/1kTJ05Ubqj1thISElCpVMTExGTZl5iYSMmSJYmMjOTbb7+lWLHCrdASHh6Oqanpe50jODhYqc9bqlQpTpw4wddff63Rxs7OLt+rwG/fvs1nn32Gm5sbQ4YMoV27dnzzzTc5tp81axblypXDysqKMWPG5Dl+vXr1GDx48FvFll9vzpGXwYMHKzdNLKhx48YpJVb+STwuLi4MGDDgrWJ4XypXrkyHDh3ybDdr1iwuXbpETEwM9evXz/f4BgYGGBoacurUqSyvWSGEEEIIIYQQ4r9EEsLioxEdHV3gZFxwcDAqlYoZM2ZobN+yZUuuNx77EOzs7FCr1fzxxx80bNiwUGP50OrVq4darSY+Ph4PDw+NfSdOnMgzaZlp5MiRJCQk8PTpU65fv868efNyrR87ceJE0tPT2bt3L4aGhgWOuyCx5demTZs+yM0Pb9++zYIFC/jyyy8L1G/Tpk00btwYCwuLHL/cuH37Nl26dMHKygoDAwN8fHz48ccf8xy3UaNGlChRAmNjY2rUqMGuXbuybdutWzfGjh1LQkICPXr0wN7eHj09PRwdHZkwYYJyAz149TnRqlUrSpUqhYGBAV5eXhqrei0tLXFycsLJyQkDAwNl+9OnT+nXrx8WFhYYGhryySef8Ndffyn7fXx8qFWrFlu3bsXKyipLjAWpBy2EEEIIIYQQQnzM5KZy4l9PV1eXmTNn0rt3b8zMzAo7HJGHEiVKFHYIOXofsZmbm7/zMbOzcuVKfH19KVu2bIH6PX78mFq1atG+fXt69uyZbZugoCAePHhAVFQUxYsXJzIykvbt23Py5EmNm8y97rfffqNRo0ZMmzYNU1NTwsLCCAgI4NixYxp9Xr58ybZt29i+fTuXLl0iIyOD5cuX4+TkxIULF+jZsyePHz8mNDQUgMOHD1OxYkVGjRpFyZIl2bZtG0FBQZiYmNCiRYscj3PIkCFs376dDRs2YGJiQv/+/Wnbti2HDh1S2nTr1o2ePXsyZswYihUrxrZt27C2ttYoebJu3Tp8fHxwcXEp0HkWQoiPhd3o7YUdQhYJM5oXdghCCCGEEP9TZIWw+Nfz8/PDysqK6dOnv1X/5cuXU6ZMGfT19Wnfvj0pKSka+1euXImbmxu6urqUK1eOpUuXZhnj999/p379+ujr6+Pp6cmRI0c09h88eJDatWujp6dHmTJlGDhwII8fP1b229nZMW3aNLp3746RkRG2trZZSiOcP3+eBg0aoKenh4WFBb169SI1NRV4lXzT0tLi9u3bGn0GDx5M7dq1830uoqOjqVq1KgYGBpiamlKzZk1u3LgB/F+JjbzOF0BoaCilSpXCwsKCfv36kZ6ernGsr68EV6lUrFy5kjZt2qCvr4+zszNRUVEa40VFReHs7Iyuri7169cnIiIClUrFgwcPALh37x6BgYHY2Nigr6+Ph4cH33//vcYYjx8/JigoCENDQ0qVKsWcOXOyxP1mbA8ePCAkJERZ5dqgQQPOnj2r7M88J2vWrMHOzg4TExM6duzIo0ePlDbZlaXI61r/8ccftG/fHlNTU8zNzWnVqhUJCQlZ4n3dunXrCAgIKPAxd+nShfHjx+Pn55fj2IcPH2bAgAFUrVoVBwcHxo4di6mpKadOncqxz/z58xk5ciRVqlTB2dmZadOm4ezszE8//ZRlbC0tLapUqUKTJk0ICwujcePGODg40LJlS4YPH86mTZuU9l988QVTpkzB19cXR0dHBg0aRJMmTTTavCklJYVVq1Yxd+5cGjRoQKVKlQgLC+Pw4cMcPXpUadeoUSOSk5PZv38/AA4ODowZM4YJEybw4MED2rdvz759+yhevHiOcwkhhBBCCCGEEB87SQiLf72iRYsybdo0Fi1axJ9//lmgvlevXuWHH37gp59+YufOnZw5c4a+ffsq+9euXcv48eOZOnUqcXFxTJs2jXHjxhEREaExzpdffsnw4cOJiYnBxcWFwMBAXrx4AcC1a9do0qQJn3zyCefOnWP9+vUcPHiQ/v37a4wxZ84cKleurMTw+eefEx8fD7xK7Pn7+2NmZsaJEyfYsGEDe/bsUcaoU6cODg4OrFmzRhkvPT2dtWvX0r1793ydixcvXtC6dWvq1q3LuXPnOHLkCL169dIovZHX+QLYt28f165dY9++fURERBAeHk54eHiuc0+aNIn27dtz7tw5mjVrRufOnUlOTgbg+vXrfPrpp7Ru3ZqzZ8/Su3fvLGURnj59SqVKldi+fTsXLlygV69edOnShePHjyttRowYwf79+9m6dSu//PIL0dHRnD59Ote42rVrx507d/j55585deoUPj4+NGzYUIkNXl3fLVu2sG3bNrZt28b+/fuzlDB5U27XOj09HX9/f4yMjDhw4ACHDh3C0NCQJk2aaJROeF1ycjKxsbFUrlxZY/vbHHN2fH19Wb9+PcnJyWRkZLBu3TqePn2qUUahXr16BAcH5zhGRkYGjx49yrJiOioqioCAgBxLvKSkpOS5yvrNNtHR0ahUKiWJfurUKdLT0zWS3uXKlcPW1lbjyxttbW28vLw4cOAAAO7u7uzatYsrV65w9uxZ/Pz8WL58+Qdb9S2EEEIIIYQQQrwPkhAW/wlt2rTBy8uLCRMmFKjf06dPWb16NV5eXtSpU4dFixaxbt06ZaXthAkTmDNnDm3btsXe3p62bdsyZMgQli9frjHO8OHDad68OS4uLkyaNIkbN25w9epVAKZPn07nzp0ZPHgwzs7O+Pr6snDhQlavXs3Tp0+VMZo1a0bfvn1xcnJi1KhRFC9enH379gEQGRmpxFqhQgUaNGjA4sWLWbNmjVIHtUePHoSFhSnj/fTTTzx9+pT27dvn61w8fPiQlJQUWrRogaOjI25ubnTt2hVbW9t8ny8AMzMzFi9eTLly5WjRogXNmzdn7969uc4dHBxMYGAgTk5OTJs2jdTUVCWZu3z5clxdXZk9ezaurq507NgxS+LRxsaG4cOH4+XlhYODAwMGDKBJkyb88MMPAKSmprJq1SpCQ0Np2LAhHh4eREREKEn77Bw8eJDjx4+zYcMGKleujLOzM6GhoZiamrJx40alXUZGBuHh4VSoUIHatWvTpUuXPI83t2u9fv16MjIyWLlyJR4eHri5uREWFkZiYiLR0dHZjpeYmIharcba2lrZ9jbHnJMffviB9PR0LCws0NHRoXfv3mzevBknJyelja2tLaVKlcpxjNDQUFJTU7O8Hrdu3UrLli2z7XP16lUWLVpE7969c43txIkTdOvWTdmmr6+Pq6srWlpawKsayNra2lluqliyZMksq+qtra2VVfHx8fE0bdoUJycnPD092bNnD3379uX+/fvZxvLs2TMePnyo8RBCCCGEEEIIIT42khAW/xkzZ84kIiKCuLi4LPsMDQ2VR58+fZTttra22NjYKM9r1KhBRkYG8fHxPH78mGvXrtGjRw+N/l999RXXrl3TGL9ixYrKvzOTYnfu3AHg7NmzhIeHa4zh7+9PRkYG169fz3YMlUqFlZWVMkZcXByenp4aN8mqWbOmEiu8SqpevXpV+Ql8eHg47du31+iTKTExUSOeadOmYW5uTnBwMP7+/gQEBLBgwQKSkpI0+uV2vjKVL1+eokWLapyPzOPIyevHbmBggLGxsdInPj6eKlWqaLSvWrWqxvOXL18yZcoUPDw8MDc3x9DQkF27dpGYmAi8WsX7/PlzqlWrpvQxNzfH1dU1x5jOnj1LamqqchOyzMf169c1rr+dnR1GRkZvfbxvXuuzZ89y9epVjIyMlDnNzc15+vRpltddpidPngCv6mlneptjzsm4ceN48OABe/bs4eTJkwwdOpT27dtz/vx5pc3q1atzLNsSGRnJpEmT+OGHH7C0tFS2x8XFcevWrWxvunjz5k2aNGlCu3btcqxtvG/fPrp168aKFSsoX768sr1q1apcunRJ47WaX3p6eqSlpQFw+fJlpk6dyuTJkzE1NeWHH36gdu3a3L17N9u+06dPx8TERHmUKVOmwPMLIYQQQgghhBDvm9xUTvxn1KlTB39/f8aMGZNlBWlMTIzyb2Nj43yNl1mfd8WKFRpJNUAj4QkoKxEB5afvGRkZyji9e/dm4MCBWeZ4ffXt62NkjpM5Rn5YWloSEBBAWFgY9vb2/PzzzzmuKLW2ttY4J5k/gQ8LC2PgwIHs3LmT9evXM3bsWHbv3k316tXzHcfbHMc/PfbZs2ezYMEC5s+fj4eHBwYGBgwePDjHEgv5kZqaSqlSpbI9h6+vNH3Xx5uamkqlSpVYu3Ztln453fQus6bt/fv33/mN8a5du8bixYu5cOGCknT19PTkwIEDLFmyhK+//jrX/uvWrSMkJIQNGzZkqVMcFRVFo0aNNBLZALdu3aJ+/fr4+vpmqa+caf/+/QQEBDBv3jyCgoJyjcHKyornz5/z4MEDjWv3119/YWVlpdE2OTkZR0dHgCw1mQECAwNznGfMmDEMHTpUef7w4UNJCgshhBBCCCGE+OhIQlj8p8yYMQMvL68sqyBf/2n76xITE7l165byU/ujR49SpEgRXF1dKVmyJNbW1vz+++907tz5rWPy8fEhNjY2xxjyw83NjfDwcB4/fqys+D106JASa6aQkBACAwMpXbo0jo6O1KxZM9vxihUrlmM83t7eeHt7M2bMGGrUqEFkZKSSEM7tfL0vrq6u7NixQ2PbiRMnNJ4fOnSIVq1a8dlnnwGvkvGXL1/G3d0dAEdHR7S0tDh27JiShL9//z6XL1+mbt262c7r4+PD7du3KVasGHZ2du/4qHLm4+PD+vXrsbS0zPeXF46OjhgbGxMbG4uLi4uyraDHnJ3M1bJFimj+oKRo0aJ5Jr6///57unfvzrp162jePOsd5Ldu3UqvXr00tt28eZP69esrN357c154VSO4RYsWzJw5M0v/7FSqVAktLS327t3LJ598ArxaeZ6YmEiNGjU02l64cIFPP/002znzoqOjg46OTp7thBBCCCGEEEKIwiQJYfGf4uHhQefOnVm4cGG+2uvq6tK1a1dCQ0N5+PAhAwcOpH379sqqwUmTJjFw4EBMTExo0qQJz5494+TJk9y/f19jJWBuRo0aRfXq1enfvz8hISEYGBgQGxvL7t27Wbx4cb7G6Ny5MxMmTKBr165MnDiRu3fvMmDAALp06ULJkiWVdv7+/hgbG/PVV18xefLkfI2d6fr163zzzTe0bNkSa2tr4uPjuXLlisbqy7zO1/vQu3dv5s6dy6hRo+jRowcxMTHKTeoyV2M7OzuzceNGDh8+jJmZGXPnzuWvv/5SEsKGhob06NGDESNGYGFhgaWlJV9++WW2ycZMfn5+1KhRg9atWzNr1ixcXFy4desW27dvp02bNllu4PaudO7cmdmzZ9OqVSsmT55M6dKluXHjBps2bWLkyJGULl06S58iRYrg5+fHwYMHad26dYGOOTk5WUn0A0r5DysrK6ysrChXrhxOTk707t2b0NBQLCws2LJlC7t372bbtm3KOEFBQdjY2ChlIyIjI+natSsLFiygWrVqSq1ePT09TExMuHPnDidPniQqKkoZ4+bNm9SrV4+yZcsSGhqqUZoh8zW2b98+WrRowaBBg/jkk0+UcbW1tZWV7sePHycoKIi9e/diY2ODiYkJPXr0YOjQoZibm2NsbMyAAQOoUaOGxur3hIQEbt68mWUlsxBC/JckzMj6BZ0QQgghhPjfIjWExX/O5MmT811uwMnJibZt29KsWTMaN25MxYoVWbp0qbI/JCSElStXEhYWhoeHB3Xr1iU8PBx7e/t8x1OxYkX279/P5cuXqV27Nt7e3owfP17jBmB50dfXZ9euXSQnJ1OlShU+/fRTGjZsmCWhXKRIEYKDg3n58mWeP6PPbo5Lly7xySef4OLiQq9evejXr5/GDb3yOl/vg729PRs3bmTTpk1UrFiRZcuW8eWXXwIoqzHHjh2Lj48P/v7+1KtXDysrKyUxmmn27NnUrl2bgIAA/Pz8qFWrFpUqVcpxXpVKxY4dO6hTpw7dunXDxcWFjh07cuPGDY0k/Lumr6/Pb7/9hq2tLW3btsXNzY0ePXrw9OnTXFcMh4SEsG7dOo3Xfn6OOSoqCm9vb2UFb8eOHfH29lZKQWhpabFjxw5KlChBQEAAFStWZPXq1URERNCsWTNlnMTERI2a09988w0vXrygX79+lCpVSnkMGjQIeHXTw6pVqyrlLgB2797N1atX2bt3L6VLl9bolykiIoK0tDSmT5+usb9t27ZKm7S0NOLj40lPT1e2zZs3jxYtWvDJJ59Qp04drKys2LRpk8a5+P7772ncuDFly5bN5QoJIYQQQgghhBD/biq1Wq0u7CCEEO9Ojx49uHv3rsbKy3dh4sSJbNmyRaP2cGGZOnUqX3/9NX/88Udhh/LRUKvVVKtWjSFDhuRa5/Zj0bJlS2rVqsXIkSMLOxQAnj9/jrOzM5GRkTmWWimohw8fYmJiQkpKSr7LfwghhBBCCCGEEG8rv3+HSskIIf4jUlJSOH/+PJGRke88GVzYli5dSpUqVbCwsODQoUPMnj2b/v37F3ZYHxWVSsU333zD+fPnCzuUfKlVq9ZHlbhOTEzkiy++eGfJYCGEEEIIIYQQ4mMlCWEh/iNatWrF8ePH6dOnD40aNSrscN6pK1eu8NVXX5GcnIytrS3Dhg1jzJgxhR3WR8fLywsvL6/CDiNfPpaVwZmcnJz+0Y0fhRBCCCGEEEKIf4t3XkPYzs6O+fPnv+th34vo6GhUKhUPHjx4r/OMGzeOXr16/aMxEhISUKlU7/zn+u9rXPF2Xn//PH/+HDs7O06ePJmvvtHR0aSlpTFv3rwCz1uvXj0GDx6ca5tJkyYxceLEAo/9LsybN49bt27x9OlTLl++zLhx4yhWrNgH/bzp0qUL06ZNy7XNv+nzrzCsWrWKxo0bF3YYjB49mgEDBmhsi42NpXTp0jx+/LiQohJCCCGEEEIIIT4MualcHsLDw1GpVDRp0kRj+4MHD1CpVERHR+fa//bt2yxYsEC5CRbA9OnTqVKlCkZGRlhaWtK6dWvi4+PfR/jiX0xbW5vhw4czatSowg4FgKSkJJo2bVrYYWg4ceLEP/6yJT/Onj3Ljh07GDhwYIH6ffPNN9SrVw9jY+Mcv3y6fPkyrVq1onjx4hgbG1OrVi327duX67gXL17kk08+wc7ODpVKlWsSulu3bowdO5aEhAR69OiBvb09enp6ODo6MmHCBJ4/f55tv6tXr2JkZISpqek7Oc6nT58ybtw4JkyYoGxbsWIFtWvXxszMDDMzM/z8/Dh+/Hi2x9u+fXtKlCiBjo4OLi4ujB8/nrS0NI12OSXkJ06cqLFyevjw4URERPD7778r29zd3alevTpz587N9hjr1auX+0kQQgghhBBCCCH+JaRkRD4UK1aMPXv2sG/fPurXr1+gvitXrsTX11fjrvX79++nX79+VKlShRcvXvDFF1/QuHFjYmNjMTAweNfh/yNqtZqXL19SrNi/86Xy/PlztLW1CzuMt9a5c2eGDRvGxYsXKV++fKHGYmVlVajzZ6dEiRIfZJ5FixbRrl07DA0NC9QvLS2NJk2a0KRJkxxLXLRo0QJnZ2d+/fVX9PT0mD9/Pi1atODatWs5nvO0tDQcHBxo164dQ4YMyXH+ly9fsm3bNrZv386lS5fIyMhg+fLlODk5ceHCBXr27Mnjx48JDQ3V6Jeenk5gYCC1a9fm8OHD7+Q4N27ciLGxsUaN3ujoaAIDA/H19UVXV5eZM2fSuHFjLl68iI2NDQBHjx7Fz88PPz8/tm/fTsmSJTl+/DjDhg1j79697Nu3r8Dv8eLFi+Pv78+yZcuYPXu2sr1bt2707NmTMWPGUKxYMbZt24a1tTU+Pj5Km3Xr1uHj44OLi0uB5hRCiI+F3ejthR3Cf1bCjOaFHYIQQgghRL4UaIXwo0eP6Ny5MwYGBpQqVYp58+bl+lPz7t2706JFC41t6enpWFpasmrVKgAyMjKYNWsWTk5O6OjoYGtry9SpU5X258+fp0GDBujp6WFhYUGvXr1ITU1V9kdHR1O1alUMDAwwNTWlZs2a3Lhxg4SEBIoUKZLl5/bz58+nbNmyZGRk5Pu4DQwM6N69O6NHj853n0zr1q0jICBAY9vOnTsJDg6mfPnyeHp6Eh4eTmJiIqdOncpzvN9//5369eujr6+Pp6cnR44cAeDx48cYGxuzceNGjfZbtmzBwMCAR48eAXD8+HG8vb3R1dWlcuXKnDlzRqN9ZhmNn3/+mUqVKqGjo8PBgwd59uwZAwcOxNLSEl1dXWrVqsWJEyeAVyv/ypcvr7FS89q1axgZGfHtt9/mK7bM0hWbNm3K9vgyHTx4kNq1a6Onp0eZMmUYOHCgxk+87ezsmDJlCkFBQRgbG9OrVy98fX2zrLK9e/cuWlpa/PbbbwDcv3+foKAgzMzM0NfXp2nTply5ckVpHx4ejqmpKbt27cLNzQ1DQ0OaNGlCUlKS0iYjI4PJkydTunRpdHR08PLyYufOncr+Bg0aZLkR2t27d9HW1mbv3r1ZrjWAmZkZNWvWZN26ddnuz7Rx40Y8PDyU94mfn59yXoKDg2ndujWTJk2iRIkSGBsb06dPnywrQzMyMhg5ciTm5uZYWVllKQ+hUqnYsmULQL6v14oVKyhTpgz6+vq0adOGuXPnZllxumzZMhwdHdHW1sbV1ZU1a9Yo+9RqNRMnTsTW1hYdHR2sra01Vum+uSJUpVKxcuVK2rRpg76+Ps7OzllusHfhwgWaNm2KoaEhJUuWpEuXLvz99985ntuXL1+ycePGLO/jO3fuEBAQgJ6eHvb29qxduzZL38GDBzN69GiqV6+e7dh///03V65cYfTo0VSsWBFnZ2dmzJhBWloaFy5cyDGmKlWqMHv2bDp27IiOjk6O7Q4fPoyWlhZVqlShSZMmhIWF0bhxYxwcHGjZsiXDhw9n06ZNWfqNHTuWcuXK0b59+xzHLshxQvafhWvXrqVv3754eXlRrlw5Vq5cSUZGhvJ+UKvV9OjRAzc3NzZt2kTVqlUpW7Ys7dq146effuLIkSNvVSIFICAgIMv7qlGjRiQnJ7N//34AHBwcGDNmDBMmTODBgwe0b9+effv2Ubx48beaUwghhBBCCCGE+BgUKCE8dOhQDh06RFRUFLt37+bAgQOcPn06x/YhISHs3LlTI2m2bds20tLS6NChAwBjxoxhxowZjBs3jtjYWCIjIylZsiTwKsnp7++PmZkZJ06cYMOGDezZs0dJqr148YLWrVtTt25dzp07x5EjR+jVqxcqlQo7Ozv8/PwICwvTiCksLIzg4GCKFClYtYyJEydy/vz5LEnN3CQnJxMbG0vlypVzbZeSkgKAubl5nmN++eWXDB8+nJiYGFxcXAgMDOTFixcYGBjQsWPHbI/3008/xcjIiNTUVFq0aIG7uzunTp1i4sSJDB8+PNt5Ro8ezYwZM4iLi6NixYqMHDmSH3/8kYiICE6fPo2TkxP+/v4kJyejq6vL2rVriYiIYOvWrbx8+ZLPPvuMRo0a0b1793zFltfxwaskc5MmTfjkk084d+4c69ev5+DBg1mSrKGhoXh6enLmzBnGjRtH586dWbduHWq1Wmmzfv16rK2tqV27NvAqaXry5EmioqI4cuQIarWaZs2akZ6ervRJS0sjNDSUNWvW8Ntvv5GYmKhx/hYsWMCcOXMIDQ3l3Llz+Pv707JlSyWxHBISQmRkJM+ePVP6fPfdd9jY2NCgQYMcr3nVqlU5cOBAjvuTkpIIDAyke/fuxMXFER0dTdu2bTWOd+/evcq+77//nk2bNjFp0iSNcSIiIjAwMODYsWPMmjWLyZMns3v37hznhdyv16FDh+jTpw+DBg0iJiaGRo0aaXzZA7B582YGDRrEsGHDuHDhAr1796Zbt25KyYQff/yRefPmsXz5cq5cucKWLVvw8PDINaZJkybRvn17zp07R7NmzejcuTPJycnAq1IvDRo0wNvbm5MnT7Jz507++uuvXBOf586dIyUlJcv7ODg4mD/++IN9+/axceNGli5dyp07d3KN7U0WFha4urqyevVqHj9+zIsXL1i+fDmWlpZUqlRJaWdnZ/dW9ZujoqIICAhApVJluz8lJSXL586vv/7Khg0bWLJkSbZ9Mr80SkhIKFAsBw8ezPOzMC0tjfT0dCWmmJgYYmNjGTp0aJbPbE9PT/z8/Pj+++8LFEemqlWr8ueff2och7a2Nl5eXsr7zd3dnV27dnHlyhXOnj2Ln58fy5cvz9dntRBCCCGEEEII8bHKd1b00aNHREREEBoaSsOGDalQoQJhYWG8fPkyxz6+vr5ZVvyFhYUpP71+9OgRCxYsYNasWXTt2hVHR0dq1apFSEgIAJGRkTx9+pTVq1dToUIFGjRowOLFi1mzZg1//fUXDx8+JCUlhRYtWuDo6Iibmxtdu3bF1tYWeJWA+/7775UE3OnTpzl//jzdunUr8ImytrZm0KBBfPnll0rCKy+JiYmo1Wqsra1zbJORkcHgwYOpWbMmFSpUyHPM4cOH07x5c1xcXJg0aRI3btzg6tWrwKvj3bVrl5KAv3PnDjt27KB79+7Aq/OZkZHBqlWrKF++PC1atGDEiBHZzjN58mQaNWqEo6MjOjo6yk+rmzZtiru7OytWrEBPT09Z6e3l5cVXX31FSEgIgwcP5saNG6xYsUIZL6/Y8nN806dPp3PnzgwePBhnZ2d8fX1ZuHAhq1ev5unTp8oYDRo0YNiwYTg6OuLo6Ej79u25desWBw8eVNpERkYSGBiISqXiypUrREVFsXLlSmrXro2npydr167l5s2byopYeLW6/euvv6Zy5cr4+PjQv39/jZW9oaGhjBo1io4dO+Lq6srMmTPx8vJSVrC2bdsWgK1btyp9wsPDCQ4OzjFhB69eezdu3Mhxf1JSEi9evKBt27bY2dnh4eFB3759NcobaGtr8+2331K+fHmaN2/O5MmTWbhwocZK+YoVKzJhwgScnZ0JCgqicuXKOa5czpTb9Vq0aBFNmzZl+PDhuLi40Ldv3yw1iENDQwkODqZv3764uLgwdOhQ2rZtq5QwSExMxMrKCj8/P2xtbalatSo9e/bMNabg4GACAwNxcnJi2rRppKamKnVpFy9ejLe3N9OmTaNcuXJ4e3vz7bffsm/fPi5fvpzteDdu3KBo0aJYWloq2y5fvszPP//MihUrqF69OpUqVWLVqlU8efIk19jepFKp2LNnD2fOnMHIyAhdXV3mzp3Lzp07MTMzU9o5Ojq+1arUrVu30rJly2z3Xb16lUWLFtG7d29l27179wgODiY8PBxjY+Ns++nr6+Pq6oqWlla+43jw4AEpKSm5fhYCjBo1Cmtra/z8/ACUa+Lm5pZtezc3tyzXbdSoURgaGmo8srsZYGYsb763Xn+/xcfH07RpU5ycnPD09GTPnj307duX+/fvZxvPs2fPePjwocZDCCGEEEIIIYT42OQ7Ifz777+Tnp5O1apVlW0mJia4urrm2i8kJERZGfrXX3/x888/K0nAuLg4nj17RsOGDbPtGxcXh6enp0Zd3Zo1a5KRkUF8fDzm5uYEBwfj7+9PQEAACxYs0FiN3Lp1a4oWLcrmzZuBV8m3+vXrY2dnl+18rycQ+vTpk2X/qFGjuHv3Lt9++22WfZk/QTc0NFRqvWYmh3R1dXM8P/369ePChQsaP13u06ePRiyvq1ixovLvUqVKASirEqtWrUr58uWJiIgAXq0+LVu2LHXq1AFQVvu+Hk+NGjWyjev1lXzXrl0jPT1do/anlpYWVatWJS4uTtk2bNgwXFxcWLx4Md9++y0WFhbKvrxiy8/xnT17lvDwcI1z4+/vT0ZGBtevX882dnhVZ7Zx48bKT/qvX7/OkSNH6Ny5s3JeihUrRrVq1ZQ+mSs3Xz8+fX19HB0dNeLLjO3hw4fcunVL4xzBq9dr5hi6urp06dJFef2cPn2aCxcuEBwcTG709PSUm2cdOHBA4/jXrl2Lp6cnDRs2xMPDg3bt2rFixYosCStPT0/09fWV5zVq1CA1NZU//vhD2fb6uX/z+HKS2/WKj4/X+LwAsjyPi4vL9Zy1a9eOJ0+e4ODgQM+ePdm8eXOeX8i8HpOBgQHGxsYar6F9+/ZpnMNy5coBr17n2Xny5Ak6OjoaSfvM18zrq3jLlSuXrxuwvU6tVtOvXz8sLS05cOAAx48fp3Xr1gQEBGh8lu3duzfLSvi8xMXFcevWrWw/X2/evEmTJk1o166dRoK9Z8+edOrUKcv78nVVq1bl0qVLSo3f/MjPZ+GMGTNYt24dmzdvztLu9dXueRkxYgQxMTEaj+w+z/X09ACy3Jju9ffb5cuXmTp1KpMnT8bU1JQffviB2rVrc/fu3Wznnj59OiYmJsqjTJky+Y5bCCGEEEIIIYT4UApWN+EtBAUF8fvvv3PkyBG+++477O3tlZ/pZ/5B/k+EhYVx5MgRfH19Wb9+PS4uLhw9ehR4tSoyKCiIsLAwnj9/TmRkZJYVqa97PYEwefLkLPtNTU0ZM2YMkyZNypJEWLlypdJ3x44dAMqKvpxWk/Xv359t27axb98+SpcurWyfPHmyRiyve31VXmaC6vVVniEhIYSHhyvnplu3brmuPs3J29zc7s6dO1y+fJmiRYtq1N8tSGy5HV9qaiq9e/fWODdnz57lypUrGona7GLv3LkzGzduJD09ncjISDw8PPIsPfCmN1dEqlSqAiWq4NU52L17N3/++SdhYWE0aNBA44aD2UlOTlZunla5cmWN42/ZsiVFixZl9+7d/Pzzz7i7u7No0SJcXV01kuRve3x51drO6/X4T5UpU4b4+HiWLl2Knp4effv2pU6dOhqlPHKLKTOu119DAQEBWRKGV65cyTEJWrx4cdLS0rLUXH4Xfv31V7Zt28a6deuoWbMmPj4+yrFmfnnytqKiomjUqFGW5OqtW7eoX78+vr6+fPPNN1niCQ0NpVixYhQrVowePXqQkpJCsWLFsv0iLL8sLCxQqVQ5fhaGhoYyY8YMfvnlF42EfuaN217/YuZ1cXFxWW7uVrx4cZycnDQe2ZV4yCwj8uaNCV9/vwUEBGjcUA4gMDAwxxvKjRkzhpSUFOXx+hcuQgghhBBCCCHExyLfCWEHBwe0tLSUG4nBq/qTOf3MOpOFhQWtW7cmLCyM8PBwjXINzs7O6Onp5fizdDc3N86ePatx07BDhw5RpEgRjZXJ3t7ejBkzhsOHD1OhQgUiIyOVfSEhIezZs4elS5cqP6vPyesJhNd/Hv66AQMGUKRIERYsWKCx3cbGRumbmeBzdHTE2NiY2NhYjbZqtZr+/fuzefNmfv31V+zt7TX2W1paasRSEJ999hk3btxg4cKFxMbG0rVrV2Wfm5sb586d0yivkJk8z03mDb8OHTqkbEtPT+fEiRO4u7sr27p3746HhwcRERGMGjUqSxInt9jyw8fHh9jY2CzJHicnJ7S1tXPt26pVK54+fcrOnTuJjIxUVgfDq/Py4sULjh07pmy7d+8e8fHxGseXG2NjY6ytrTXOEbx6vb4+hoeHB5UrV2bFihV5fkGR6cKFC3h7ewOvvkR5/bgz6y+rVCpq1qzJpEmTOHPmDNra2srKeHi1Mvb1cgZHjx7F0NDwva5gdHV11fi8ALI8d3Nzy/Oc6enpERAQwMKFC4mOjubIkSOcP3/+rWLy8fHh4sWL2NnZZXkN5fQliJeXF4DG+7hcuXK8ePFC40aQ8fHxPHjwoEDxZH6x9GZ93CJFivzjxPrWrVtp1aqVxrabN29Sr149KlWqRFhYWJZ5jxw5kuWLMSMjI2JiYmjTps1bx6KtrY27u3uWz0KAWbNmMWXKFHbu3JlldX/mzebmzZuX5XycPXuWPXv2EBgY+FYxXbhwAS0tLeUXHa9vz3y/vS46OjrPMXV0dDA2NtZ4CCGEEEIIIYQQH5ti+W1oZGRE165dGTFiBObm5lhaWjJhwgSKFCmS5wrUkJAQWrRowcuXLzWSgLq6uowaNYqRI0eira1NzZo1uXv3LhcvXqRHjx507tyZCRMm0LVrVyZOnMjdu3cZMGAAXbp0oWTJkly/fp1vvvmGli1bYm1tTXx8PFeuXCEoKEiZw83NjerVqzNq1Ci6d+/+j1cl6+rqMmnSJPr165dn2yJFiuDn58fBgwdp3bq1sr1fv35ERkaydetWjIyMuH37NvCqBMc/jc/MzIy2bdsyYsQIGjdurLHyuFOnTnz55Zf07NmTMWPGkJCQoNRqzY2BgQGff/65cu1tbW2ZNWsWaWlp9OjRA4AlS5Zw5MgRzp07R5kyZdi+fTudO3fm6NGjSrI2t9jyY9SoUVSvXp3+/fsTEhKCgYEBsbGx7N69m8WLF+d5DK1bt2bcuHHExcVpJJGcnZ1p1aoVPXv2ZPny5RgZGTF69GhsbGyyJNRyM2LECCZMmICjoyNeXl6EhYURExOjlKrIFBISQv/+/TEwMMhXku3AgQNMmTIlx/3Hjh1j7969NG7cGEtLS44dO8bdu3c16q4+f/6cHj16MHbsWBISEpgwYQL9+/cv8M0VC2LAgAHUqVOHuXPnEhAQwK+//srPP/+s8XkxYsQI2rdvj7e3N35+fvz0009s2rSJPXv2AK/KvLx8+ZJq1aqhr6/Pd999h56eXp6rqnPSr18/VqxYQWBgICNHjsTc3JyrV6+ybt06Vq5cSdGiRbP0KVGiBD4+Phw8eFBJDru6utKkSRN69+7NsmXLKFasGIMHD87y/r19+za3b99W6iqfP38eIyMjbG1tMTc3p0aNGpiZmdG1a1fGjx+Pnp4eK1as4Pr16zRv3lwZp2HDhrRp00YpG/H8+XMlufr8+XNu3rxJTEwMhoaGODk5cefOHeUmiZkyk8Fly5YlNDRUo+yBlZUVkLVW78mTJylSpIhGffPjx48TFBTE3r17lbIReR0ngL+/PwcPHmTw4MHKWDNnzmT8+PFERkZiZ2enfBZmlvNQqVSsWrWKRo0a8cknnzBmzBisrKw4duwYw4YNo0aNGhrjFcSBAweoXbu2xjVLSEjg5s2bSg1jIYT4L0qY0TzvRkIIIYQQ4r9NXQAPHz5Ud+rUSa2vr6+2srJSz507V121alX16NGjlTZly5ZVz5s3T6NfRkaGumzZsupmzZplGfPly5fqr776Sl22bFm1lpaW2tbWVj1t2jRl/7lz59T169dX6+rqqs3NzdU9e/ZUP3r0SK1Wq9W3b99Wt27dWl2qVCm1tra2umzZsurx48erX758qTHHqlWr1ID6+PHjGtv37dunBtT379/P8ZjDwsLUJiYmGttevHihdnd3VwPqffv25XLG1OodO3aobWxsNGICsn2EhYXlOM7169fVgPrMmTPKtvv372cbw969e9WA+ocffsgyzpEjR9Senp5qbW1ttZeXl/rHH3/UGDenc/LkyRP1gAED1MWLF1fr6Oioa9asqZzPuLg4tZ6enjoyMlIjtjJlyqhHjhyZr9jye3zHjx9XN2rUSG1oaKg2MDBQV6xYUT116lRlf3avv0w7duxQA+o6depk2ZecnKzu0qWL2sTERK2np6f29/dXX758Wdmf3etg8+bN6tffQi9fvlRPnDhRbWNjo9bS0lJ7enqqf/755yxzPXr0SK2vr6/u27dvln1vxn/48GG1qampOi0tLdtjUqvV6tjYWLW/v7+6RIkSah0dHbWLi4t60aJFyv6uXbuqW7VqpR4/frzawsJCbWhoqO7Zs6f66dOnSpu6deuqBw0apDFuq1at1F27dlWeA+rNmzer1er8X69vvvlGbWNjo9bT01O3bt1a/dVXX6mtrKw05lm6dKnawcFBraWlpXZxcVGvXr1a2bd582Z1tWrV1MbGxmoDAwN19erV1Xv27MnxfL0eYyYTExON99bly5fVbdq0UZuamqr19PTU5cqVUw8ePFidkZGRwxl+FWP16tU1tiUlJambN2+u1tHRUdva2qpXr16dJZ4JEybk+V4/ceKEunHjxmpzc3O1kZGRunr16uodO3ZozFW2bFn1hAkTlOeZ5//NR926ddVqtVq9cuVKdc2aNTXGCAsLy/GzJyfZve4zPyOuX79eoOO8ePGiWk9PT/3gwQON48qu3+vHqla/+n/gk08+UZubm6u1tLTUjo6O6rFjx6ofP36c5Txl9/6fMGGC2tPTU2Obq6ur+vvvv9fYNm3aNLW/v3+O56OgUlJS1IA6JSXlnY0phBBCCCGEEELkJL9/h6rU6gIWQX3N48ePsbGxYc6cOcpK0eykpqZiY2NDWFhYriUb3pcpU6awYcMGzp0798HnVqvVVKtWjSFDhrz1T5sLas2aNQwZMoRbt27lWUrhQ/uYY/tQEhIScHR05MSJE1nqk76pQ4cOeHp68sUXX7z1fMHBwTx48IAtW7a89RjvSs+ePbl06RIHDhwo7FAK5MmTJ7i6urJ+/focb8T4MWnZsiW1atVi5MiRhR2Khnbt2uHj48OYMWMKNY6ff/6ZYcOGce7cOYoVe/VDmefPn+Ps7ExkZGSWGx2+rYcPH2JiYkJKSoqUjxBCCCGEEEII8d7l9+/QAv1e/MyZM3z//fdcu3aN06dPK3VYc/pZfUZGBnfu3GHKlCmYmprSsmXLgkz3j6WmpnLhwgUWL17MgAEDPujcmVQqFd988w0vXrx473OlpaVx7do1ZsyYQe/evT+qhOvHHNuHkp6ezu3btxk7dizVq1fPMxn8/PlzPDw8GDJkyAeK8N0LDQ3l7NmzXL16lUWLFhEREVHg2tEfAz09PVavXs3ff/9d2KHkS61atT7YF1AFMXv2bAwNDQs7DB4/fkxYWJiSDAZITEzkiy++eGfJYCGEEEIIIYQQ4mNVoBXCZ86cISQkhPj4eLS1talUqRJz587Fw8Mj2/YJCQnY29tTunRpwsPDadiw4TsLPD+Cg4P5/vvvad26NZGRkdnWB/0vmThxIlOnTqVOnTps3br1o0i8ZPqYY/tQoqOjqV+/Pi4uLmzcuDHH9827VpgrhNu3b090dDSPHj3CwcGBAQMG0KdPnw8ehxCFQVYICyGEEEIIIYT4kPL7d+g/KhkhhBDiw6lXrx5eXl7Mnz+/sEPJVeaXH/fv38fU1LSww3kn3uaYJCEshBBCCCGEEOJDei8lI4QQQvx7hYeHf5AEra+vL0lJSZiYmLy3eaOjo1GpVDx48OCdjiuEEEIIIYQQQvzXFcu7iRBCCJF/2traWFlZFXYY+aJWq3n58qVGPWEhhPgvsxu9vbBD+J+WMKN5YYcghBBCCCErhIUQ4t/kxYsX9O/fHxMTE4oXL864cePIrPzz7Nkzhg8fjo2NDQYGBlSrVo3o6Gjg1Yrabt26kZKSgkqlQqVSMXHiRADWrFlD5cqVMTIywsrKik6dOnHnzp1c47hx4wYBAQGYmZlhYGBA+fLl2bFjhzJX5urd3Oa9f/8+QUFBmJmZoa+vT9OmTbly5UqecyQkJFC/fn0AzMzMUKlUBAcHA69uZjp9+nTs7e3R09PD09OTjRs3KmNmxvbzzz9TqVIldHR0OHjwIM+ePWPgwIFYWlqiq6tLrVq1OHHixD+9XEIIIYQQQgghxEdHlkQJIcS/SEREBD169OD48eOcPHmSXr16YWtrS8+ePenfvz+xsbGsW7cOa2trNm/eTJMmTTh//jy+vr7Mnz+f8ePHEx8fD6Dc3DE9PZ0pU6bg6urKnTt3GDp0KMHBwUqCNzv9+vXj+fPn/PbbbxgYGBAbG5vtzSJzmzc4OJgrV64QFRWFsbExo0aNolmzZsTGxqKlpZXjHGXKlOHHH3/kk08+IT4+HmNjY/T09ACYPn063333HV9//TXOzs789ttvfPbZZ5QoUYK6desqcY0ePZrQ0FAcHBwwMzNj5MiR/Pjjj0RERFC2bFlmzZqFv78/V69exdzc/N1cPCGEEEIIIYQQ4iMgCWEhhPgXKVOmDPPmzUOlUuHq6sr58+eZN28e/v7+hIWFkZiYiLW1NQDDhw9n586dhIWFMW3aNExMTFCpVFnKOXTv3l35t4ODAwsXLqRKlSqkpqZmm+QFSExM5JNPPsHDw0Pplx1tbe1s581MBB86dAhfX18A1q5dS5kyZdiyZQvt2rXLdY7MJK2lpaVSn/jZs2dMmzaNPXv2UKNGDaXPwYMHWb58uUZCePLkyTRq1AiAx48fs2zZMsLDw2natCkAK1asYPfu3axatYoRI0bkeD1e9+zZM549e6Y8f/jwYb76CSGEEEIIIYQQH5KUjBBCiH+R6tWro1KplOc1atTgypUrnD9/npcvX+Li4oKhoaHy2L9/P9euXct1zFOnThEQEICtrS1GRkZK4jQxMRGA8uXLK+NlJkwHDhzIV199Rc2aNZkwYQLnzp0r0HHExcVRrFgxqlWrpmyzsLDA1dWVuLi4t5rj6tWrpKWl0ahRI41zsHr16iznoHLlysq/r127Rnp6OjVr1lS2aWlpUbVqVSWW/Jg+fTomJibKo0yZMvnuK4QQQgghhBBCfCiyQlgIIf4DUlNTKVq0KKdOnaJo0aIa+3Ja5QuvVsf6+/vj7+/P2rVrKVGiBImJifj7+/P8+XMAduzYQXp6OoBSmiEkJAR/f3+2b9/OL7/8wvTp05kzZw4DBgx4Z8dU0DlSU1MB2L59OzY2Nhr7dHR0NJ4bGBi8szgzjRkzhqFDhyrPHz58KElhIYQQQgghhBAfHVkhLIQQ/yLHjh3TeH706FGcnZ3x9vbm5cuX3LlzBycnJ41HZqkGbW1tXr58qdH/0qVL3Lt3jxkzZlC7dm3KlSuX5YZyZcuWVcZ6PdFapkwZ+vTpw6ZNmxg2bBgrVqzINubs5nVzc+PFixcax3Pv3j3i4+Nxd3fPcw5tbW0AjXHd3d3R0dEhMTExyznILTHr6OiItrY2hw4dUralp6dz4sQJjVjyoqOjg7GxscZDCCGEEEIIIYT42MgKYSGE+BdJTExk6NCh9O7dm9OnT7No0SLmzJmDi4sLnTt3JigoiDlz5uDt7c3du3fZu3cvFStWpHnz5tjZ2ZGamsrevXvx9PREX18fW1tbtLW1WbRoEX369OHChQtMmTIlzzgGDx5M06ZNcXFx4f79++zbtw83N7ds22Y3r7OzM61ataJnz54sX74cIyMjRo8ejY2NDa1atcpzjrJly6JSqdi2bRvNmjVDT08PIyMjhg8fzpAhQ8jIyKBWrVqkpKRw6NAhjI2N6dq1a7bxGRgY8PnnnzNixAjMzc2xtbVl1qxZpKWl0aNHj7e8UkII8XFKmNG8sEMQQgghhBCFTFYICyHEv0hQUBBPnjyhatWq9OvXj0GDBtGrVy8AwsLCCAoKYtiwYbi6utK6dWtOnDiBra0tAL6+vvTp04cOHTpQokQJZs2aRYkSJQgPD2fDhg24u7szY8YMQkND84zj5cuX9OvXDzc3N5o0aYKLiwtLly7Ntm1282bGW6lSJVq0aEGNGjVQq9Xs2LEDLS2tPOewsbFh0qRJjB49mpIlS9K/f38ApkyZwrhx45g+fbrSb/v27djb2+d6PDNmzOCTTz6hS5cu+Pj4cPXqVXbt2oWZmVk+rooQQgghhBBCCPHvoVKr1erCDkIIIYT4r3n48CEmJiakpKRI+QghhBBCCCGEEO9dfv8OlRXCQgghhBBCCCGEEEII8T9CEsJCCCGEEEIIIYQQQgjxP0ISwiLfwsPDMTU1LewwPqiEhARUKhUxMTEAREdHo1KpePDgQb7HsLOzY/78+bm2ef78OU5OThw+fPjtg81GvXr1GDx4cIH6qFQqtmzZ8k7jKEzBwcG0bt26QH3yc83y8vXXXxMQEPCPxvi3e/Pcq9VqevXqhbm5ucb76kO6d+8elpaWJCQk5LuPXEshhBBCCCGEEP8lkhAWH5WPPens6+tLUlISJiYm73Tcr7/+Gnt7e3x9fZVtLVu2xNbWFl1dXUqVKkWXLl24devWO523MG3atInGjRtjYWGRbXIwMxmf3WPDhg2FE3QBdO/endOnT3PgwIHCDuWjsXPnTsLDw9m2bRtJSUlUqFAhzz5vfinzT02dOpVWrVphZ2cHwNmzZwkMDKRMmTLo6enh5ubGggULNPrItRRCCCGEEEII8V8iCWHxzjx//rywQ3jvtLW1sbKyQqVSvbMx1Wo1ixcvpkePHhrb69evzw8//EB8fDw//vgj165d49NPP31n8xa2x48fU6tWLWbOnJnt/jJlypCUlKTxmDRpEoaGhjRt2vQDR1tw2tradOrUiYULFxZ2KB+Na9euUapUKXx9fbGysqJYsWIfdP60tDRWrVql8V47deoUlpaWfPfdd1y8eJEvv/ySMWPGsHjxYqWNXEshxH+J3ejtykMIIYQQQvxvkoTwf9DOnTupVasWpqamWFhY0KJFC65du6bsz1xxt2nTJurXr4++vj6enp4cOXJEY5zw8HBsbW3R19enTZs23Lt3T2P/xIkT8fLyYuXKldjb26OrqwtAYmIirVq1wtDQEGNjY9q3b89ff/2l9Dt79iz169fHyMgIY2NjKlWqxMmTJ4mOjqZbt26kpKQoK0EnTpwIwLNnzxg+fDg2NjYYGBhQrVo1oqOjNWI1NTVl165duLm5YWhoSJMmTUhKStKIeeXKlbi5uaGrq0u5cuVYunSpxv7jx4/j7e2Nrq4ulStX5syZMxr7sysZ8eOPP1K+fHl0dHSws7Njzpw5+btQ/9+pU6e4du0azZs319g+ZMgQqlevTtmyZfH19WX06NEcPXqU9PR04NVP3wMDA7GxsUFfXx8PDw++//77XOeys7NjypQpBAYGYmBggI2NDUuWLMnS7u+//6ZNmzbo6+vj7OxMVFSUsu/ly5f06NEDe3t79PT0cHV1zbKiMj+6dOnC+PHj8fPzy3Z/0aJFsbKy0nhs3ryZ9u3bY2ho+Nax1KtXj/79+9O/f39MTEwoXrw448aNQ61Wa7RLS0uje/fuGBkZYWtryzfffKOxf9SoUbi4uKCvr4+DgwPjxo1Trk2mgIAAoqKiePLkSa7xDBgwgMGDB2NmZkbJkiVZsWIFjx8/plu3bhgZGeHk5MTPP/+s0W///v1UrVoVHR0dSpUqxejRo3nx4oXGuAMHDmTkyJGYm5tjZWWlvJ8yve17Ff7v/f+6+fPnKytv3xQcHMyAAQNITExEpVIp7fL6vLK3twfA29sblUpFvXr1lH15vZ/ftGPHDnR0dKhevbqyrXv37ixYsIC6devi4ODAZ599Rrdu3di0aZNG3/xcSyGEEEIIIYQQ4t9AEsL/QY8fP2bo0KGcPHmSvXv3UqRIEdq0aUNGRoZGuy+//JLhw4cTExODi4sLgYGBSkLp2LFj9OjRg/79+xMTE0P9+vX56quvssx19epVfvzxRzZt2kRMTAwZGRm0atWK5ORk9u/fz+7du/n999/p0KGD0qdz586ULl2aEydOcOrUKUaPHo2Wlha+vr7Mnz8fY2NjZUXo8OHDAejfvz9Hjhxh3bp1nDt3jnbt2tGkSROuXLmijJuWlkZoaChr1qzht99+IzExUekPsHbtWsaPH8/UqVOJi4tj2rRpjBs3joiICABSU1Np0aIF7u7unDp1iokTJ2r0z86pU6do3749HTt25Pz580ycOJFx48YRHh6e7+t14MABXFxcMDIyyrFNcnIya9euxdfXFy0tLQCePn1KpUqV2L59OxcuXKBXr1506dKF48eP5zrf7Nmz8fT05MyZM4wePZpBgwaxe/dujTaTJk2iffv2nDt3jmbNmtG5c2eSk5MByMjIoHTp0mzYsIHY2FjGjx/PF198wQ8//JDvY34bp06dIiYmRmN159vGEhERQbFixTh+/DgLFixg7ty5rFy5UqPNnDlzlC8F+vbty+eff058fLyy38jIiPDwcGJjY1mwYAErVqxg3rx5GmNUrlyZFy9ecOzYsTzjKV68OMePH2fAgAF8/vnntGvXDl9fX06fPk3jxo3p0qULaWlpANy8eZNmzZpRpUoVzp49y7Jly1i1alWW92hERAQGBgYcO3aMWbNmMXnyZOVa/5P36ttYsGABkydPpnTp0iQlJXHixAkg78+rzNfznj17SEpKUhK1eb2fs3PgwAEqVaqUZ6wpKSmYm5trbMvPtXz27BkPHz7UeAghhBBCCCGEEB8dtfjPu3v3rhpQnz9/Xq1Wq9XXr19XA+qVK1cqbS5evKgG1HFxcWq1Wq0ODAxUN2vWTGOcDh06qE1MTJTnEyZMUGtpaanv3LmjbPvll1/URYsWVScmJmYZ+/jx42q1Wq02MjJSh4eHZxtrWFiYxhxqtVp948YNddGiRdU3b97U2N6wYUP1mDFjlH6A+urVq8r+JUuWqEuWLKk8d3R0VEdGRmqMMWXKFHWNGjXUarVavXz5crWFhYX6yZMnyv5ly5apAfWZM2fUarVavW/fPjWgvn//vlqtVqs7deqkbtSokcaYI0aMULu7uyvPy5Ytq543b162x6tWq9WDBg1SN2jQINt9I0eOVOvr66sBdfXq1dV///13juOo1Wp18+bN1cOGDVOe161bVz1o0CCNWJo0aaLRp0OHDuqmTZsqzwH12LFjleepqalqQP3zzz/nOG+/fv3Un3zySa6x5STz9Zh5jnPy+eefq93c3PIc781Yunbtqm7VqpXyvG7dumo3Nzd1RkaGsm3UqFEaY5ctW1b92WefKc8zMjLUlpaW6mXLluU47+zZs9WVKlXKst3MzCzH13tmPLVq1VKev3jxQm1gYKDu0qWLsi0pKUkNqI8cOaJWq9XqL774Qu3q6qpxDEuWLFEbGhqqX758me24arVaXaVKFfWoUaPUavU/f69OmDBB7enpqbFt3rx56rJlyyrP3zz3b+7PTk6fV2++PvJ6P2enVatW6u7du+c6/6FDh9TFihVT79q1K8u+vK7lhAkT1ECWR0pKSq5zCiHEh1R21DblIYQQQggh/ltSUlLy9XeorBD+D7py5QqBgYE4ODhgbGys/DQ7MTFRo13FihWVf5cqVQqAO3fuABAXF0e1atU02teoUSPLXGXLlqVEiRLK87i4OMqUKUOZMmWUbe7u7piamhIXFwfA0KFDCQkJwc/PjxkzZmj8PDw758+f5+XLl7i4uGBoaKg89u/fr9FXX18fR0dHjWPKPJ7Hjx9z7do1evTooTHGV199pYwRFxdHxYoVldIXOR3z6+Li4qhZs6bGtpo1a3LlyhVevnyZa99MT5480ZjzdSNGjODMmTP88ssvFC1alKCgIKW0wcuXL5kyZQoeHh6Ym5tjaGjIrl27slznN715TDVq1FCuTabXXxsGBgYYGxsr5xJgyZIlVKpUiRIlSmBoaMg333yT57z/xJMnT4iMjMxSZ/ltY6levbpGHegaNWpkuWavnwOVSoWVlZXGOVi/fj01a9bEysoKQ0NDxo4dm+28enp6ysrenLw+V9GiRbGwsMDDw0PZVrJkSUDz/VmjRg2NY6hZsyapqan8+eef2Y4Lmu+J9/FefRv5/bx6XX7ez9nJ7b0GcOHCBVq1asWECRNo3Lhxlv15XcsxY8aQkpKiPP74448c2wohhBBCCCGEEIXlw97RR3wQAQEBlC1blhUrVmBtbU1GRgYVKlTIctO313/6nZlYerOsRF4MDAwKHN/EiRPp1KkT27dv5+eff2bChAmsW7eONm3aZNs+NTWVokWLcurUKYoWLaqxL7OWLJDlp+wqlUpJnqampgKwYsWKLInuN8f80IoXL8758+dz3Fe8eHFcXFxwc3OjTJkyHD16lBo1ajB79mwWLFjA/Pnz8fDwwMDAgMGDB7+Tm/tldy4zXxvr1q1j+PDhzJkzhxo1amBkZMTs2bPzLIvwT2zcuJG0tDSCgoI0tr/PWHI7B0eOHKFz585MmjQJf39/TExMWLduXbb1o5OTkzW+NMnvXO/i/ZnbMeRHbu/VIkWKZKm7/GYN5fzI7+fV6972/Vy8eHHu37+f7b7Y2FgaNmxIr169GDt2bLZt8rqWOjo66Ojo5LhfCCGEEEIIIYT4GEhC+D/m3r17xMfHs2LFCmrXrg3AwYMHCzyOm5tblqTa0aNH89Xvjz/+4I8//lBWHsbGxvLgwQPc3d2Vdi4uLri4uDBkyBACAwMJCwujTZs2aGtrZ1lZ6+3tzcuXL7lz545yTAVVsmRJrK2t+f333+ncuXOOsa9Zs4anT58qqwjzOmY3NzcOHTqkse3QoUO4uLjkO9Hs7e3NsmXLUKvVGis+35SZyHv27JkyT6tWrfjss8+U/ZcvX9Y4z9l585iOHj2Km5tbvmLNnNfX15e+ffsq297HytHXrVq1ipYtW2ZJxr1tLNm9tp2dnfN9zQ4fPkzZsmX58ssvlW03btzI0u7atWs8ffoUb2/vfI2bX25ubvz4448ar5lDhw5hZGRE6dKl8z3GP3mvlihRgtu3b2vEEBMTU6DjyM/nlba2NoDG50J+3s/Z8fb25rvvvsuy/eLFizRo0ICuXbsyderUbPu+r2sphBBCCCGEEEJ8aFIy4j/GzMwMCwsLvvnmG65evcqvv/7K0KFDCzzOwIED2blzJ6GhoVy5coXFixezc+fOPPv5+fnh4eFB586dOX36NMePHycoKIi6detSuXJlnjx5Qv/+/YmOjubGjRscOnSIEydOKAlJOzs7UlNT2bt3L3///TdpaWm4uLjQuXNngoKC2LRpE9evX+f48eNMnz6d7du35/uYJk2axPTp01m4cCGXL1/m/PnzhIWFMXfuXAA6deqESqWiZ8+exMbGsmPHDkJDQ3Mdc9iwYezdu5cpU6Zw+fJlIiIiWLx4cZ43o3td/fr1SU1N5eLFi8q2Y8eOsXjxYmJiYrhx4wa//vorgYGBODo6KiUfnJ2d2b17N4cPHyYuLo7evXvz119/5TnfoUOHmDVrFpcvX2bJkiVs2LCBQYMG5TteZ2dnTp48ya5du7h8+TLjxo1TbhBWEMnJycTExBAbGwtAfHw8MTEx3L59W6Pd1atX+e233wgJCXlnsSQmJjJ06FDi4+P5/vvvWbRoUYHPQWJiIuvWrePatWssXLiQzZs3Z2l34MABHBwcNEqZvAt9+/bljz/+YMCAAVy6dImtW7cyYcIEhg4dSpEi+ftY/6fv1Xr16nH37l1mzZrFtWvXWLJkCT///HOBjiM/n1eWlpbo6emxc+dO/vrrL1JSUoC838/Z8ff35+LFixqrhC9cuED9+vVp3LgxQ4cO5fbt29y+fZu7d+9q9H1f11IIIT60hBnNlYcQQgghhPjfJAnh/5giRYqwbt06Tp06RYUKFRgyZAizZ88u8DjVq1dnxYoVLFiwAE9PT3755Zccf0b9OpVKxdatWzEzM6NOnTr4+fnh4ODA+vXrgVc/57537x5BQUG4uLjQvn17mjZtyqRJkwDw9fWlT58+dOjQgRIlSjBr1iwAwsLCCAoKYtiwYbi6utK6dWtOnDiBra1tvo8pJCSElStXEhYWhoeHB3Xr1iU8PBx7e3vgVfmJn376ifPnz+Pt7c2XX37JzJkzcx3Tx8eHH374gXXr1lGhQgXGjx/P5MmTCQ4OzndcFhYWtGnThrVr1yrb9PX12bRpEw0bNsTV1ZUePXpQsWJF9u/fr/wkfezYsfj4+ODv70+9evWwsrKidevWec43bNgwTp48ibe3N1999RVz587F398/3/H27t2btm3b0qFDB6pVq8a9e/c0VugCREdHo1KpSEhIyHGcqKgovL29ad781R+kHTt2xNvbm6+//lqj3bfffkvp0qWzreman1iyExQUxJMnT6hatSr9+vVj0KBB9OrVKx9H/0rLli0ZMmQI/fv3x8vLi8OHDzNu3Lgs7b7//nt69uyZ73Hzy8bGhh07dnD8+HE8PT3p06cPPXr0yNd7NNM/fa+6ubmxdOlSlixZgqenJ8ePHy/QFyGQv8+rYsWKsXDhQpYvX461tTWtWrUC8n4/Z8fDw0N5z2bauHEjd+/e5bvvvqNUqVLKo0qVKhp939e1FEIIIYQQQgghPjSV+s0ikEKID+7cuXM0atSIa9euadRFftfs7OwYPHgwgwcPfm9zwKsE/rRp04iNjc1Sx7aw1atXDy8vL+bPn/9e58ksQ3D58mVMTEze61wi/7Zv386IESO4cOFCvldTv+21fPjwISYmJqSkpGBsbPy2IQshhBBCCCGEEPmS379DZYWwEB+BihUrMnPmTK5fv17YobwTO3bsYNq0aR9dMvhDSkpKYvXq1ZIM/sg0b96cXr16cfPmzXz3kWsphBBCCCGEEOK/RG4qJ8RHoiBlJj52GzZsKOwQCp2fn19hhyByUNAV8nIthRBCCCGEEEL8l8gK4f9h4eHhmJqaFqhPcHBwvurUinfLzs7unZQ4SEhIeO/lIvJr4sSJeHl5ffB5o6Oj830uExISUKlUxMTEKH1VKhUPHjzI93zv6tr9G2V3jSdOnEjJkiVRqVRs2bLlg8f0/PlznJycOHz4cL77xMbGUrp0aR4/fvweIxNCCCGEEEIIIT4MSQj/S02cOBGVSqXxKFeuXGGHJd7Cpk2bqFy5MqamphgYGODl5cWaNWve+TzvKgGbnJzMgAEDcHV1RU9PD1tbWwYOHEhKSopGu8TERJo3b46+vj6WlpaMGDGCFy9e/OP5X/dmwvZ98/X1JSkpSUoHvKW4uDgmTZrE8uXLSUpKomnTpvnq9y6Tx19//TX29vb4+voq26ZOnYqvry/6+vrZfknm7u5O9erVmTt37juJQQghhBBCCCGEKExSMuJfrHz58uzZs0d5XqzY/9blfP78Odra2oUdxj9mbm7Ol19+Sbly5dDW1mbbtm1069YNS0tL/P39Czu8LG7dusWtW7cIDQ3F3d2dGzdu0KdPH27dusXGjRsBePnyJc2bN8fKyorDhw+TlJREUFAQWlpaTJs2rZCP4O1pa2tjZWVV2GH8a127dg2AVq1aoVKpPvj8arWaxYsXM3nyZI3tz58/p127dtSoUYNVq1Zl27dbt2707NmTMWPG/M991goh/lvsRm8v7BD+kxJmNC/sEIQQQggh8k1WCP+LFStWDCsrK+VRvHhxjf1z587Fw8MDAwMDypQpQ9++fUlNTc1xvMwVpMuXL6dMmTLo6+vTvn37LCs/AUJDQylVqhQWFhb069eP9PR0Zd+aNWuoXLkyRkZGWFlZ0alTJ+7cuZPrsWSWr9iyZQvOzs7o6uri7+/PH3/8kSW+lStXYm9vj66uLgAPHjwgJCSEEiVKYGxsTIMGDTh79qzG+F999RWWlpYYGRkREhLC6NGjNVbLZpbC+CfHlVlOYO/evVSuXBl9fX18fX2Jj4/P9djr1atHmzZtcHNzw9HRkUGDBlGxYkUOHjyo0e7Ro0cEBgZiYGCAjY0NS5Ys0dif23kIDw9n0qRJnD17VllRHh4eDhT8dVKhQgV+/PFHAgICcHR0pEGDBkydOpWffvpJWQH8yy+/EBsby3fffYeXlxdNmzZlypQpLFmyhOfPn2uMl9frbeXKlbi5uaGrq0u5cuVYunSpss/e3h4Ab29vVCoV9erVA+DEiRM0atSI4sWLY2JiQt26dTl9+nSu1wHg+PHjeHt7o6urS+XKlTlz5ozG/uxKRvz444+UL18eHR0d7OzsmDNnTp7zvC7ztTdt2jRKliyJqakpkydP5sWLF4wYMQJzc3NKly5NWFiYRr/z58/ToEED9PT0sLCwoFevXhrXLT+v6fv37xMUFISZmRn6+vo0bdqUK1euKPtv3LhBQEAAZmZmGBgYUL58eXbs2AFkX3Jmy5YtOSZ6J06cSEBAAABFihRR2uV1rezs7ABo06YNKpVKeQ6wdetWfHx80NXVxcHBgUmTJuW6Cv3UqVNcu3aN5s01/2ifNGkSQ4YMwcPDI8e+jRo1Ijk5mf379+fYRgghhBBCCCGE+DeQhPC/2JUrV7C2tsbBwYHOnTuTmJiosb9IkSIsXLiQixcvEhERwa+//srIkSNzHfPq1av88MMP/PTTT+zcuZMzZ87Qt29fjTb79u3j2rVr7Nu3j4iICMLDw5XkIkB6ejpTpkzh7NmzbNmyhYSEhHzdMC0tLY2pU6eyevVqDh06xIMHD+jYsWOW+H788Uc2bdqklAlo164dd+7c4eeff+bUqVP4+PjQsGFDkpOTAVi7di1Tp05l5syZnDp1CltbW5YtW5Zl/nd1XF9++SVz5szh5MmTFCtWjO7du+d57JnUajV79+4lPj6eOnXqaOybPXs2np6enDlzhtGjRzNo0CB2796t7M/tPHTo0IFhw4ZRvnx5kpKSSEpKokOHDsDbvU7elJKSgrGxsbJy8siRI3h4eFCyZEmljb+/Pw8fPuTixYvKtrxeb2vXrmX8+PFMnTqVuLg4pk2bxrhx44iIiABeJXAB9uzZQ1JSEps2bQJeJc+7du3KwYMHOXr0KM7OzjRr1oxHjx7leAypqam0aNECd3d3Tp06xcSJExk+fHiux33q1Cnat29Px44dOX/+PBMnTmTcuHEar5v8+PXXX7l16xa//fYbc+fOZcKECbRo0QIzMzOOHTtGnz596N27N3/++ScAjx8/xt/fHzMzM06cOMGGDRvYs2cP/fv31xg3r9d0cHAwJ0+eJCoqiiNHjqBWq2nWrJmSNO7Xrx/Pnj3jt99+4/z588ycORNDQ8MCHVum4cOHK0ntzNcg5H2tTpw4AUBYWBhJSUnK8wMHDhAUFMSgQYOIjY1l+fLlhIeHM3Xq1BxjOHDgAC4uLhgZGRU4fm1tbby8vDhw4ECObZ49e8bDhw81HkIIIYQQQgghxMdGfvf6L1WtWjXCw8NxdXUlKSmJSZMmUbt2bS5cuKAkO16/eZidnR1fffUVffr00Vhh+aanT5+yevVqbGxsAFi0aBHNmzdnzpw5yk/lzczMWLx4MUWLFqVcuXI0b96cvXv30rNnTwCNBKiDgwMLFy6kSpUqpKam5ppMSk9PZ/HixVSrVg2AiIgI3NzcOH78OFWrVgVe/bR79erVlChRAoCDBw9y/Phx7ty5g46ODvBq9fKWLVvYuHEjvXr1YtGiRfTo0YNu3boBMH78eH755Zcsq2Df1XFNnTqVunXrAjB69GiaN2/O06dPlRXN2UlJScHGxoZnz55RtGhRli5dSqNGjTTa1KxZk9GjRwPg4uLCoUOHmDdvHo0aNcrXeTA0NFRWlb/ubV4nr/v777+ZMmUKvXr1Urbdvn1bIxkMKM9v376tbMvr9TZhwgTmzJlD27ZtgVcrgjOTf127dlVeBxYWFhrH1aBBA425v/nmG0xNTdm/fz8tWrTI9jgiIyPJyMhg1apV6OrqUr58ef78808+//zzHI997ty5NGzYkHHjxgGvrktsbCyzZ8/O15cgmczNzVm4cCFFihTB1dWVWbNmkZaWxhdffAHAmDFjmDFjBgcPHqRjx45ERkYq587AwACAxYsXExAQwMyZM5Vzndtr+sqVK0RFRXHo0CGlnu7atWspU6YMW7ZsoV27diQmJvLJJ58oK2cdHBzyfUxvMjQ0VFYUF+RaZV5jU1NTjX6TJk1i9OjRdO3aVYltypQpjBw5kgkTJmQbw40bN7C2tn7rY7C2tubGjRs57p8+fTqTJk166/GFEEIIIYQQQogPQVYI/0s1bdqUdu3aUbFiRfz9/dmxYwcPHjzghx/+H3v3Hpfz/T9+/HFVOp/kUKEDOkhIKZOcRYWGmTBDyGFDM+fmlPNhTplhwwpznNPMcfgsI2eTYwtNYsImajkkdf3+8Ov9dengypBtz/vtdt1ue7/fr8PzfchuPXtdz/d6pc3evXtp3rw5FStWxMzMjG7dunHnzh0ePHhQ6Lj29vZKcg7A19eX3NxcjbIH7u7u6OrqKtu2trYapRNOnjxJcHAw9vb2mJmZKcnRvBXM7u7umJqaYmpqqvFSKT09PXx8fJTtatWqYWlpSUJCgrLPwcFBSRABnD59mszMTMqUKaOMaWpqypUrV5R6pYmJiUpCOc/z26/ivPLUqlVLYwyA27dvk5KSohHjs7V0zczMiI+P5/jx40yZMoUhQ4YQGxurMa6vr2++7bxro811KMzLPCd5MjIyaN26NdWrVycyMvKF7Z9X1PN2//59kpKS6N27t8Y5TZ48+YXndOvWLfr06YOzszMWFhaYm5uTmZmp3Kv+/ftrjAlPX3hWq1YtjcT989f8eQkJCfj5+Wns8/Pz49KlS+Tk5Gh9Hdzd3dHR+b9/jq2trTXKF+jq6lKmTBnleUxISMDDw0NJBufNW5yf1YSEBPT09JQ/wMDTxLqrq6vyXIWHhzN58mT8/PwYP348Z86c0fqctPWie1WY06dPM3HiRI372KdPH1JTUwt9dh8+fFjkH2ZexMjIqMifi4iICNLT05XPsyVvhBBCCCGEEEKIt4WsEP6XsLS0xMXFhcuXLwOQnJxMmzZt+Oijj5gyZQpWVlYcPHiQ3r178/jxY4yNjV96rlKlSmlsq1QqcnNzgf/7KntAQACrVq2iXLlypKSkEBAQoNSO3bFjh/KVdCMjo2LN/WwCDJ5+zd/W1jZf8hTIV9/0Rf7ueRU0Tl6d1NzcXCpVqqSUuYCnq0Lz6Ojo4OTkBEDt2rVJSEhg2rRpSk3cF3nZ6/B3npO//vqLwMBAzMzM2Lx5s8Z529jYKOUc8ty6dUs5pu05ASxZskQjaQloJDkL0qNHD+7cuUNUVBQODg4YGBjg6+ur3KuJEye+sBzEm1TQs1fU8/h3xi3OGGFhYQQEBLB9+3Z+/PFHpk2bxuzZsxk0aBA6Ojqo1WqN9s/WJ9bWi+5VYTIzM5kwYYKyevxZhSV9y5Yty9mzZ4sdY560tDSqVq1a6HEDAwNlhb4QQgghhBBCCPG2koTwv0RmZiZJSUl069YNeLqaNTc3l9mzZysrD59dPVyYlJQUbty4oXyt+siRI8rX2LXx66+/cufOHaZPn46dnR0AJ06c0Gjj4OBQYN8nT55w4sQJZfVuYmIi9+7dw83NrdD5vLy8uHnzJnp6ehovm3qWq6srx48fp3v37sq+vDqk2tLmvF5ET09PSfq+SG5uLllZWRr7jhw5km8779pocx309fXzrVp92eckIyODgIAADAwM2Lp1a74EnK+vL1OmTOH27duUL18egD179mBubk716tWVdkU9b9bW1lSoUIHffvuNrl27FnpOQL7ziouLY+HChbRq1QqAa9eu8eeffyrHy5cvr8SVx83NjZUrV2qU93j+mj/Pzc2NuLi4fHO7uLi8MGn9d7i5uRETE8P9+/eVP5LExcUV62fVzc2NJ0+ecPToUaVkxJ07d0hMTNS4R3Z2dvTv35/+/fsTERHBkiVLGDRoEOXKleOvv/7SiOHZP3ho60X3Cp4mtp+/x15eXiQmJmr9MwVPXz64aNEi1Gp1oS+/K8q5c+d4//33i91PCCGEEEIIIYR4m0hC+B9q2LBhBAcH4+DgwI0bNxg/fjy6urp06dIFACcnJ7Kzs/niiy8IDg4mLi6OxYsXv3BcQ0NDevTowaxZs8jIyCA8PJyQkBCtV3Xa29ujr6/PF198Qf/+/Tl37hyTJk3Sqm+pUqUYNGgQ8+fPR09Pj4EDB1KvXr0Cyzvk8ff3x9fXl3bt2jFz5kxcXFy4ceMG27dvp3379nh7ezNo0CD69OmDt7c39evXZ926dZw5c6ZY9VD/znm9yLRp0/D29qZq1apkZWWxY8cOVq5cme/Fd3FxccycOZN27dqxZ88evvvuO7Zv3671dXB0dOTKlSvEx8dTqVIlzMzMXuo5ycjIoGXLljx48IBvv/1W4+VZ5cqVQ1dXl5YtW1K9enW6devGzJkzuXnzJmPGjGHAgAEaKyhf9LxNmDCB8PBwLCwsCAwMJCsrixMnTnD37l2GDBlC+fLlMTIyYteuXVSqVAlDQ0MsLCxwdnZm5cqVeHt7k5GRwfDhw1+4Gv2DDz5g9OjR9OnTh4iICJKTk5k1a1aRfYYOHYqPjw+TJk2iU6dOHD58mAULFmhdf/llde3alfHjx9OjRw8iIyP5448/GDRoEN26dctXu7kwzs7OtG3blj59+vDVV19hZmbGqFGjqFixIm3btgWe1pcOCgrCxcWFu3fv8tNPPyl/hHjnnXcwNjbms88+Izw8nKNHjxb7ZXp5cbzoXjk6OrJv3z78/PwwMDCgdOnSjBs3jjZt2mBvb8/777+Pjo4Op0+f5ty5c0yePLnAuZo2bUpmZibnz5+nRo0ayv6UlBTS0tJISUkhJydHSWw7OTkpJUWSk5P5/fff8ff3L/Y5CiHE2yR5euuSDkEIIYQQQpQwqSH8D3X9+nW6dOmCq6srISEhlClThiNHjij1dT08PJgzZw4zZsygRo0arFq1imnTpr1wXCcnJ9577z1atWpFy5YtqVWrVrGSW+XKlSMmJobvvvuO6tWrM3369Bcm1fIYGxszcuRIPvjgA/z8/DA1NWXdunVF9lGpVOzYsYNGjRrRs2dPXFxc6Ny5M1evXlUSY127diUiIoJhw4bh5eXFlStXCA0NLVYt0b9zXi9y//59Pv74Y9zd3fHz82Pjxo18++23hIWFabQbOnQoJ06cwNPTk8mTJzNnzhwCAgK0vg4dOnQgMDCQpk2bUq5cOdasWaP1c6JSqZRk3y+//MLRo0c5e/YsTk5O2NraKp+8mqm6urps27YNXV1dfH19+fDDD+nevTsTJ07UGPdFz1tYWBhLly4lOjqamjVr0rhxY2JiYqhcuTLwdNX1/Pnz+eqrr6hQoYKSyFy2bBl3797Fy8uLbt26ER4enm9F8PNMTU354YcfOHv2LJ6enowePZoZM2YU2cfLy4v169ezdu1aatSowbhx45g4cWKxXij3MoyNjdm9ezdpaWn4+Pjw/vvv07x5cxYsWFCscaKjo6lTpw5t2rTB19cXtVrNjh07lFITOTk5DBgwADc3NwIDA3FxcVHuj5WVFd9++y07duygZs2arFmz5qXqSGtzr2bPns2ePXuws7PD09MTgICAALZt28aPP/6Ij48P9erVY+7cuYV+AwGe1khu3749q1at0tg/btw4PD09GT9+PJmZmXh6euLp6anxLYA1a9bQsmXLIscXQgghhBBCCCH+CVTq54tAiv+syMhItmzZ8lJf+/67YmJiGDx4MPfu3Xsj87Vo0QIbGxtWrlz5Rub7J7ty5QouLi5cuHABZ2fnkg5HiL/lzJkztGjRgqSkJGX174s8fvwYZ2dnVq9ene8lgkXJyMjAwsKC9PR0zM3NXzZkIYQQQgghhBBCK9r+HiolI8S/3oMHD1i8eDEBAQHo6uqyZs0a9u7dy549e0o6tH+EHTt20LdvX0kGi3+FWrVqMWPGDK5cuULNmjW16pOSksJnn31WrGSwEEIIIYQQQgjxtpKEsPjXyyunMGXKFB49eoSrqysbN26UWqBaGjBgQEmHIMQrVdySHk5OTsV6eZ0QQgghhBBCCPE2k5IRQgjxGiQnJ1O5cmVOnTpF7dq13/px37SSLFHzpkjJCCGEEEIIIYQQb5K2v4fKS+WEEEILixYtolatWpibm2Nubo6vry87d+4s6bDE39SkSRMGDx5c0mEIIYQQQgghhBBvjJSMEEIILVSqVInp06fj7OyMWq1m+fLltG3bllOnTuHu7l7S4SnUajU5OTno6ck/70IIIfJzHLW9pEP425Knty7pEIQQQggh/tFkhbAQQmghODiYVq1a4ezsjIuLC1OmTMHU1JQjR44U2e+3336jadOmGBsb4+HhweHDhwG4f/8+5ubmbNiwQaP9li1bMDEx4a+//gLg2LFjeHp6YmhoiLe3N6dOndJoHxsbi0qlYufOndSpUwcDAwMOHjxIVlYW4eHhlC9fHkNDQxo0aMDx48cBePToEe7u7vTt21cZJykpCTMzM7755hutYnv8+DEDBw7E1tYWQ0NDHBwcmDZtmtL23r17hIWFUa5cOczNzWnWrBmnT5/Od32++uor7OzsMDY2JiQkhPT0dOXY8ePHadGiBWXLlsXCwoLGjRvzyy+/aPS/d+8e/fr1w9raGkNDQ2rUqMG2bdsAuHPnDl26dKFixYoYGxtTs2ZN1qxZo/QNDQ1l//79REVFoVKpUKlUJCcnA3Du3DmCgoIwNTXF2tqabt268eeffxZxp4UQQgghhBBCiH8GSQgLIUQx5eTksHbtWu7fv4+vr2+RbUePHs2wYcOIj4/HxcWFLl268OTJE0xMTOjcuTPR0dEa7aOjo3n//fcxMzMjMzOTNm3aUL16dU6ePElkZCTDhg0rcJ5Ro0Yxffp0EhISqFWrFiNGjGDjxo0sX76cX375BScnJwICAkhLS8PQ0JBVq1axfPlyvv/+e3Jycvjwww9p0aIFvXr10iq2+fPns3XrVtavX09iYiKrVq3C0dFRaduxY0du377Nzp07OXnyJF5eXjRv3py0tDSlzeXLl1m/fj0//PADu3bt4tSpU3z88cfK8b/++osePXpw8OBBjhw5grOzM61atVKS5bm5uQQFBREXF8e3337LhQsXmD59Orq6usDTxHedOnXYvn07586do2/fvnTr1o1jx44BEBUVha+vL3369CE1NZXU1FTs7Oy4d+8ezZo1w9PTkxMnTrBr1y5u3bpFSEhIkfc6KyuLjIwMjY8QQgghhBBCCPG2ke8UCyGEls6ePYuvry+PHj3C1NSUzZs3U7169SL7DBs2jNatn361dcKECbi7u3P58mWqVatGWFgY9evXJzU1FVtbW27fvs2OHTvYu3cvAKtXryY3N5dly5ZhaGiIu7s7169f56OPPso3z8SJE2nRogXwdPXxokWLiImJISgoCIAlS5awZ88eli1bxvDhw6lduzaTJ08mLCyMzp07c/XqVWVlLfDC2FJSUnB2dqZBgwaoVCocHByUvgcPHuTYsWPcvn0bAwMDAGbNmsWWLVvYsGGDsjL50aNHrFixgooVKwLwxRdf0Lp1a2bPno2NjQ3NmjXTOMevv/4aS0tL9u/fT5s2bdi7dy/Hjh0jISEBFxcXAKpUqaK0r1ixokYCfdCgQezevZv169dTt25dLCws0NfXx9jYGBsbG6XdggUL8PT0ZOrUqcq+b775Bjs7Oy5evKjM9bxp06YxYcKEAo8JIYQQQgghhBBvC1khLIQQWnJ1dSU+Pp6jR4/y0Ucf0aNHDy5cuED//v0xNTVVPs+qVauW8t+2trYA3L59G4C6devi7u7O8uXLAfj2229xcHCgUaNGAMpqX0NDQ2WMwlYke3t7K/+dlJREdnY2fn5+yr5SpUpRt25dEhISlH1Dhw7FxcWFBQsW8M0331CmTBnl2ItiCw0NJT4+HldXV8LDw/nxxx+VvqdPnyYzM5MyZcpoXJcrV66QlJSktLO3t1eSwXnnlpubS2JiIgC3bt2iT58+ODs7Y2Fhgbm5OZmZmaSkpAAQHx9PpUqVCk3Q5uTkMGnSJGrWrImVlRWmpqbs3r1b6V+Y06dP89NPP2nEXq1aNeXaFiYiIoL09HTlc+3atSLnEUIIIYQQQgghSoKsEBZCCC3p6+vj5OQEQJ06dTh+/DhRUVFMmjSp0FIOpUqVUv5bpVIBT0sd5AkLC+PLL79k1KhRREdH07NnT6VdcZiYmBS7z+3bt7l48SK6urpcunSJwMBAjeNFxebl5cWVK1fYuXMne/fuJSQkBH9/fzZs2EBmZia2trbExsbmm9PS0lLr+Hr06MGdO3eIiorCwcEBAwMDfH19efz4MQBGRkZF9v/888+Jiopi3rx51KxZExMTEwYPHqz0L0xmZibBwcHMmDEj37G8pH5BDAwMlBXRQgghhBBCCCHE20pWCAshxEvKzc0lKyuL8uXL4+TkpHyK48MPP+Tq1avMnz+fCxcu0KNHD+WYm5sbZ86c4dGjR8q+F73EDqBq1aro6+sTFxen7MvOzub48eMaJS569epFzZo1Wb58OSNHjtRYPfyi2ADMzc3p1KkTS5YsYd26dWzcuJG0tDS8vLy4efMmenp6GtfFycmJsmXLKv1TUlK4ceOGxrnp6Ojg6uoKQFxcHOHh4bRq1Qp3d3cMDAw0XuxWq1Ytrl+/zsWLFwu8DnFxcbRt25YPP/wQDw8PqlSpkq+tvr4+OTk5Gvu8vLw4f/48jo6O+eJ/mcS7EEIIIYQQQgjxNpEVwkIIoYWIiAiCgoKwt7fnr7/+YvXq1cTGxrJ79+6/NW7p0qV57733GD58OC1btqRSpUrKsQ8++IDRo0fTp08fIiIiSE5OZtasWS8c08TEhI8++ojhw4djZWWFvb09M2fO5MGDB/Tu3RuAL7/8ksOHD3PmzBns7OzYvn07Xbt25ciRI+jr678wtjlz5mBra4unpyc6Ojp899132NjYYGlpib+/P76+vrRr146ZM2fi4uLCjRs32L59O+3bt1fKWxgaGtKjRw9mzZpFRkYG4eHhhISEKPV8nZ2dWblyJd7e3mRkZDB8+HCNVcGNGzemUaNGdOjQgTlz5uDk5MSvv/6KSqUiMDAQZ2dnNmzYwKFDhyhdujRz5szh1q1bGklxR0dHjh49SnJyMqamplhZWTFgwACWLFlCly5dGDFiBFZWVly+fJm1a9eydOlS5aV1QgjxT5Q8vXVJhyCEEEIIIUqYrBAWQggt3L59m+7du+Pq6krz5s05fvw4u3fvVl7k9nf07t2bx48f06tXL439pqam/PDDD5w9exZPT09Gjx5dYBmDgkyfPp0OHTrQrVs3vLy8uHz5Mrt376Z06dL8+uuvDB8+nIULF2JnZwfAwoUL+fPPPxk7dqxWsZmZmTFz5ky8vb3x8fEhOTmZHTt2oKOjg0qlYseOHTRq1IiePXvi4uKivLjO2tpaGcPJyYn33nuPVq1a0bJlS2rVqsXChQuV48uWLePu3bt4eXnRrVs3wsPDKV++vEYcGzduxMfHhy5dulC9enVGjBihrPgdM2YMXl5eBAQE0KRJE2xsbGjXrp1G/2HDhqGrq0v16tUpV64cKSkpVKhQgbi4OHJycmjZsiU1a9Zk8ODBWFpaoqMj/9sUQgghhBBCCPHPplKr1eqSDkIIIf7LVq5cyaeffsqNGzeU1blvi7c5trddRkYGFhYWpKenY25uXtLhCCGEEEIIIYT4l9P291ApGSGEECXkwYMHpKamMn36dPr16/dWJVzf5tiEEEIIIYQQQgjx8uS7r0IIUUJmzpxJtWrVsLGxISIioqTD0fA2xyaEEEIIIYQQQoiXJyUjhBDiFYqMjGTLli3Ex8e/9BjJyclUrlyZU6dOUbt27VcWW0FUKhWbN2/OV1u3pI0dO5Zbt27x9ddfl3QojBo1ivv37/PFF18Uq5+UjBBCCCGEEEII8SZp+3uorBAWQvzr/PzzzwQHB1OhQgVUKhVbtmwp6ZCKxc7OjtTUVGrUqAFAbGwsKpWKe/fulVhMN2/e5JNPPsHJyQlDQ0Osra3x8/Nj0aJFPHjwQGnn6OiISqVCpVJhYmKCl5cX3333nXI8MjLyhUnumzdvEhUVxejRo5V92t7ThIQE3n33XSwsLDAxMcHHx4eUlJQi5ztz5gwNGzbE0NAQOzs7Zs6cqXF82LBhLF++nN9++63IcYQQQgghhBBCiH8CqSEshPjXuX//Ph4eHvTq1Yv33nuvpMMpNl1dXWxsbEo6DMVvv/2Gn58flpaWTJ06lZo1a2JgYMDZs2f5+uuvqVixIu+++67SfuLEifTp04eMjAxmz55Np06dqFixIvXr19dqvqVLl1K/fn0cHByUfdrc06SkJBo0aEDv3r2ZMGEC5ubmnD9/HkNDw0LnysjIoGXLlvj7+7N48WLOnj1Lr169sLS0pG/fvgCULVuWgIAAFi1axOeff67VOQjxOjiO2l7SIYh/geTprUs6BCGEEEIIUcJkhbAQ4l8nKCiIyZMn0759+2L1U6lULFq0iKCgIIyMjKhSpQobNmzQaDNy5EhcXFwwNjamSpUqjB07luzs7ELHDA0NpV27dkydOhVra2ssLS2ZOHEiT548Yfjw4VhZWVGpUiWio6OVPsnJyahUKuLj40lOTqZp06YAlC5dGpVKRWhoKABZWVmEh4dTvnx5DA0NadCgAcePHwdArVbj5OTErFmzNOKJj49HpVJx+fJlra/Lxx9/jJ6eHidOnCAkJAQ3NzeqVKlC27Zt2b59O8HBwRrtzczMsLGxwcXFhS+//BIjIyN++OEHredbu3ZtvjG1uaejR4+mVatWzJw5E09PT6pWrcq7775L+fLlC+2zatUqHj9+zDfffIO7uzudO3cmPDycOXPmaLQLDg5m7dq1Wp+DEEIIIYQQQgjxtpKEsBBCPGPs2LF06NCB06dP07VrVzp37kxCQoJy3MzMjJiYGC5cuEBUVBRLlixh7ty5RY75v//9jxs3bvDzzz8zZ84cxo8fT5s2bShdujRHjx6lf//+9OvXj+vXr+fra2dnx8aNGwFITEwkNTWVqKgoAEaMGMHGjRtZvnw5v/zyC05OTgQEBJCWloZKpaJXr14aiWaA6OhoGjVqhJOTk1bX486dO/z4448MGDAAExOTAtuoVKpC++vp6VGqVCkeP36s1XxpaWlcuHABb29vrdrnyc3NZfv27bi4uBAQEED58uV555138pWWCA0NpUmTJsr24cOHadSoEfr6+sq+gIAAEhMTuXv3rrKvbt26XL9+neTk5EJjyMrKIiMjQ+MjhBBCCCGEEEK8bSQhLIQQz+jYsSNhYWG4uLgwadIkvL29NV4mNmbMGOrXr4+joyPBwcEMGzaM9evXFzmmlZUV8+fPx9XVlV69euHq6sqDBw/47LPPcHZ2JiIiAn19fQ4ePJivr66uLlZWVgCUL18eGxsbLCwsuH//vlLCICgoiOrVq7NkyRKMjIxYtmwZ8DT5mZiYyLFjxwDIzs5m9erV9OrVS+vrcfnyZdRqNa6urhr7y5Yti6mpKaampowcObLAvo8fP2batGmkp6fTrFkzreZLSUlBrVZToUIFrWMEuH37NpmZmUyfPp3AwEB+/PFH2rdvz3vvvcf+/fuVdra2ttjb2yvbN2/exNraWmOsvO2bN28q+/LiuXr1aqExTJs2DQsLC+VjZ2dXrHMQQgghhBBCCCHeBEkICyH+c6ZOnaokM01NTTVeOubr66vR1tfXV2OF8Lp16/Dz88PGxgZTU1PGjBnzwpeWubu7o6Pzf//cWltbU7NmTWVbV1eXMmXKcPv2ba3PISkpiezsbPz8/JR9pUqVom7dukq8FSpUoHXr1nzzzTcA/PDDD2RlZdGxY8cCxwwKClKuibu7e5HzHzt2jPj4eNzd3cnKytI4NnLkSExNTTE2NmbGjBlMnz6d1q21q1n58OFDgCLr/hYkNzcXgLZt2/Lpp59Su3ZtRo0aRZs2bVi8eLHSbtq0aaxYsaJYYwMYGRkBaLxA73kRERGkp6crn2vXrhV7HiGEEEIIIYQQ4nWTl8oJIf5z+vfvT0hIiLKt7WrUw4cP07VrVyZMmEBAQAAWFhasXbuW2bNnF9mvVKlSGtsqlarAfXlJzVcpLCyMbt26MXfuXKKjo+nUqRPGxsYFtl26dKmSkM2Lz8nJCZVKRWJiokbbKlWqAP+XKH3W8OHDCQ0NxdTUFGtr6yJLSjyvbNmyANy9e5dy5coVq5+enh7Vq1fX2O/m5lbgyus8NjY23Lp1S2Nf3vazL/ZLS0sDKDImAwMDDAwMtI5ZCCGEEEIIIYQoCbJCWAjxn2NlZYWTk5Py0dP7v7+NHTlyRKPtkSNHcHNzA+DQoUM4ODgwevRovL29cXZ2LrKEwKuSV982JydH2Ve1alX09fWJi4tT9mVnZ3P8+HGNpGirVq0wMTFh0aJF7Nq1q8hyERUrVlSuiYODAwBlypShRYsWLFiwgPv372sVb9myZXFycsLGxqZYyeC88zI3N+fChQvF6qevr4+Pj0++xPXFixeVcymIr68vP//8s8aLAffs2YOrqyulS5dW9p07d45SpUq9cOW0EEIIIYQQQgjxtpMVwkKIf53MzEwuX76sbF+5coX4+HisrKw06scW5LvvvsPb25sGDRqwatUqjh07ptTkdXZ2JiUlhbVr1+Lj48P27dvZvHnzaz0XAAcHB1QqFdu2baNVq1YYGRlhamrKRx99xPDhw5XzmjlzJg8ePKB3795KX11dXUJDQ4mIiMDZ2TlfSQxtLFy4ED8/P7y9vYmMjKRWrVro6Ohw/Phxfv31V+rUqfPKzlVHRwd/f38OHjxIu3btlP3a3NPhw4fTqVMnGjVqRNOmTdm1axc//PADsbGxSr+IiAh+//13pWzEBx98wIQJE+jduzcjR47k3LlzREVF5XtR4IEDB2jYsGGBK6KFeFOSp2tXekUIIYQQQgghiiIrhIUQ/zonTpzA09MTT09PAIYMGYKnpyfjxo17Yd8JEyawdu1aatWqxYoVK1izZo2y4vbdd9/l008/ZeDAgdSuXZtDhw4xduzY13ou8HTl7oQJExg1ahTW1tYMHDgQgOnTp9OhQwe6deuGl5cXly9fZvfu3RorWwF69+7N48eP6dmz50vNX7VqVU6dOoW/vz8RERF4eHgoL9sbNmwYkyZN+tvn+KywsDDWrl2rUUJDm3vavn17Fi9ezMyZM6lZsyZLly5l48aNNGjQQGmTmpqqUfPZwsKCH3/8kStXrlCnTh2GDh3KuHHj6Nu3r0ZMa9eupU+fPq/0PIUQQgghhBBCiJKgUqvV6pIOQggh3gYqlYrNmzdrrEz9Nzhw4ADNmzfn2rVrWFtbl3Q4L6RWq3nnnXf49NNP6dKlS0mHw86dOxk6dChnzpzRKC/yIhkZGVhYWJCeno65uflrjFAIIYQQQgghhND+91BZISyEEP9SWVlZXL9+ncjISDp27PiPSAbD08T8119/zZMnT0o6FADu379PdHR0sZLBQgghhBBCCCHE20p+uxVCiH+pNWvW0Lt3b2rXrq3UzP2nqF27NrVr1y7pMAB4//33SzoEIYQQQgghhBDilZEVwkL8A0VGRv7tZFlycjIqlYr4+PhXElNRVCoVW7Zsee3zFMTR0ZF58+Zp1VatVr+SchFNmjRh8ODBf3ucvys0NJScnBxOnjxJxYoV2bdvH25ubuTk5JR0aG+dxYsXExwcXNJhCCGEEEIIIYQQr52sEBbiJf388898/vnnnDx5ktTU1H9c7Vk7OztSU1MpW7YsALGxsTRt2pS7d+9iaWn5RmM5ffo006dP5+DBg/z55584OjrSv39/Pvnkkzcax5v2+PFjoqKiWLNmDYmJiejp6eHo6EhwcDAff/wxFSpUAJ4mdpcvXw5AqVKlsLe3p3v37nz22Wfo6elpfe9GjBjBmDFj0NXVBZ6+YG3o0KGcOHGCy5cvEx4eXmDy/N69e4wePZpNmzaRlpaGg4MD8+bNo1WrVoXOlZaWxqBBg/jhhx/Q0dGhQ4cOREVFYWpqqtFu//79fPjhh1y7dk2rn6nMzExGjRrFli1buHPnDpUrVyY8PJz+/fsXGsujR4/o378/J0+eJCEhgTZt2uT7A0WvXr2YNGkSBw4coGHDhhrHYmNjiY2NJTIystA5hBCvn+Oo7SUdwr9C8vTWJR2CEEIIIYQoYbJCWIiXdP/+fTw8PPjyyy9LOpSXoquri42NzVtRF/XkyZOUL1+eb7/9lvPnzzN69GgiIiJYsGBBSYf22mRlZdGiRQumTp1KaGgoP//8M2fPnmX+/Pn8+eeffPHFFxrtAwMDSU1N5dKlSwwdOpTIyEg+//xzrec7ePAgSUlJdOjQQSOGcuXKMWbMGDw8PArs9/jxY1q0aEFycjIbNmwgMTGRJUuWULFixSLn69q1K+fPn2fPnj1s27aNn3/+mb59++Zr9/333ysrc7X5mRoyZAi7du3i22+/JSEhgcGDBzNw4EC2bt1aaJ+cnByMjIwIDw/H39+/wDb6+vp88MEHzJ8/X9m3ePFibt++rXEtZs+eTXZ2dpHnLoQQQgghhBBCvM0kISzESwoKCmLy5Mm0b9++WP1UKhWLFi0iKCgIIyMjqlSpwoYNGzTajBw5EhcXF4yNjalSpQpjx44tMgkVGhpKu3btmDp1KtbW1lhaWjJx4kSePHnC8OHDsbKyolKlSkRHRyt9ni0ZkZycTNOmTQEoXbo0KpWK0NBQ4GnSMDw8nPLly2NoaEiDBg04fvw48LTEgpOTE7NmzdKIJz4+HpVKxeXLl7W6Jr169SIqKorGjRtTpUoVPvzwQ3r27MmmTZte2Hfjxo24u7tjYGCAo6Mjs2fPLrL9vXv3CAsLo1y5cpibm9OsWTNOnz6t0WbRokVUrVoVfX19XF1dWblypUasbdq00WifnZ1N+fLlWbZsmVbnCzB37lwOHjzI//73P8LDw6lTpw729vY0btyYxYsXM3XqVI32BgYG2NjY4ODgwEcffYS/v3+RSdDnrV27lhYtWmBoaKjsc3R0JCoqiu7du2NhYVFgv2+++Ya0tDS2bNmCn58fjo6ONG7cuNAEMkBCQgK7du1i6dKlvPPOOzRo0IAvvviCtWvXcuPGDY22W7du5d133wW0+5k6dOgQPXr0oEmTJjg6OtK3b188PDw4duxYoX1MTExYtGgRffr0wcbGptB2wcHBbN26lYcPHwJPV9G/++67bN68mfPnz9OsWTPg6c+wEEIIIYQQQgjxTyUJYSFKwNixY+nQoQOnT5+ma9eudO7cmYSEBOW4mZkZMTExXLhwgaioKJYsWcLcuXOLHPN///sfN27c4Oeff2bOnDmMHz+eNm3aULp0aY4ePUr//v3p168f169fz9fXzs6OjRs3ApCYmEhqaipRUVHA0zIDGzduZPny5fzyyy84OTkREBBAWloaKpWKXr16aSSaAaKjo2nUqBFOTk4vfY3S09OxsrIqss3JkycJCQmhc+fOnD17lsjISMaOHUtMTEyhfTp27Mjt27fZuXMnJ0+exMvLi+bNm5OWlgbA5s2b+eSTTxg6dCjnzp2jX79+9OzZk59++gmAsLAwdu3aRWpqqjLmtm3bePDgAZ06ddL6/NasWUOLFi3w9PQs8PiLko5GRkY8fvxY6/kOHDiAt7e31u3zbN26FV9fXwYMGIC1tTU1atRg6tSpGnWIY2JiNOI9fPgwlpaWGvP5+/ujo6PD0aNHlX3nz5/n9u3bSqJVG/Xr12fr1q38/vvvqNVqfvrpJy5evEjLli2VNqGhoTRp0qTY5+rt7c2TJ0+UGFu3bs3u3bv58ccf2bFjB1988QVDhw4tdFV9VlYWGRkZGh8hhBBCCCGEEOJtIwlhIUpAx44dCQsLw8XFhUmTJuHt7a1RImDMmDHUr19fqSc7bNgw1q9fX+SYVlZWzJ8/H1dXV3r16oWrqysPHjzgs88+w9nZmYiICPT19Tl48GC+vrq6ukrytXz58tjY2GBhYcH9+/dZtGgRn3/+OUFBQVSvXp0lS5ZgZGSkrIYNDQ0lMTFRWaGZnZ3N6tWr6dWr10tfn0OHDrFu3boCSww8a86cOTRv3pyxY8fi4uJCaGgoAwcOLLSUwsGDBzl27Bjfffcd3t7eODs7M2vWLCwtLZVV2rNmzSI0NJSPP/4YFxcXhgwZwnvvvaesgq5fv36+VcPR0dF07NgxX33coly8eBFXV1eNfe3bt8fU1BRTU1Pq169fYD+1Ws3evXvZvXt3sRKpV69eVWoSF8dvv/3Ghg0byMnJYceOHYwdO5bZs2czefJkpY2FhYXGudy8eZPy5ctrjKOnp4eVlRU3b95U9n3//fcEBASgr6+vdTxffPEF1atXp1KlSujr6xMYGMiXX35Jo0aNlDa2trbY29sX+1yNjY2xsLDg6tWrAOzatYvAwEBatmxJq1atCA8PJyoqqtCX8k2bNg0LCwvlY2dnV+wYhBBCCCGEEEKI100SwkK8JlOnTlWSe6ampqSkpCjHfH19Ndr6+vpqrBBet24dfn5+2NjYYGpqypgxYzT6F8Td3R0dnf/7kba2tqZmzZrKtq6uLmXKlNGoifoiSUlJZGdn4+fnp+wrVaoUdevWVeKtUKECrVu35ptvvgHghx9+ICsri44dOxY4ZlBQkHJN3N3d8x0/d+4cbdu2Zfz48cqqz5SUFI1rmVdOISEhQSM2AD8/Py5dulRg0u706dNkZmZSpkwZjfGuXLlCUlJSkWM+e3/CwsKUVdG3bt1i586dhSbAi3oOnrdw4ULi4+Pp1asXDx480Di2bds2TE1NMTQ0JCgoiE6dOhXrJWcPHz7UKBehrdzcXMqXL8/XX39NnTp16NSpE6NHj2bx4sVKm/bt2/Prr78We+zvv/9eKRehrS+++IIjR46wdetWTp48yezZsxkwYAB79+5V2kybNo0VK1YUOx54uvI679pfuXKF77//nvbt2+Pu7s6+ffvIzs4mNze3wL4RERGkp6crn2vXrr1UDEIIIYQQQgghxOtU8m+TEuJfqn///oSEhCjb2q7OPHz4MF27dmXChAkEBARgYWHB2rVrX1gbt1SpUhrbKpWqwH2FJbP+jrCwMLp168bcuXOJjo6mU6dOGBsbF9h26dKlSo3W5+O7cOECzZs3p2/fvowZM0bZX6FCBeLj45XtF5WSKExmZia2trbExsbmO2Zpaan1ON27d2fUqFEcPnyYQ4cOUblyZRo2bFhg28KeA2dnZxITEzXa2traAgWfX9OmTVm0aBH6+vpUqFCh2C8DLFu2LHfv3i1Wn7yYSpUqha6urrLPzc2Nmzdv8vjx4wJX99rY2OT7w8OTJ09IS0tTavimpqZy6tQpWrfW/m33Dx8+5LPPPmPz5s1Kv1q1ahEfH8+sWbMKfWFccaSlpVGuXDkAPvroI+DpcwlPXzw3bNiwQvsaGBhgYGDwt2MQQgghhBBCCCFeJ0kIC/GaWFlZFZq4PHLkCN27d9fYzqsle+jQIRwcHBg9erRyPO8r7K9TXmLv2ZW1eS9Wi4uLw8HBAXhaEuL48eMMHjxYadeqVSvlxV27du3i559/LnSeihUrFrg/76VdPXr0YMqUKRrH9PT0CqxH7ObmRlxcnMa+uLg4XFxcNBKYeby8vLh58yZ6eno4OjoWGEfemD169NAYs3r16sp2mTJlaNeuHdHR0Rw+fJiePXsWer6FPQddunRhzJgxnDp1qtA6ws8yMTH5WzWZPT09lcRmcfj5+bF69Wpyc3OVFegXL17E1ta20FIPvr6+3Lt3j5MnT1KnTh3gaY3r3Nxc3nnnHeDpSvL69esXK7mfnZ1Ndna2xkp4eLr6/VX8oSMpKYlHjx7lux9NmjR5qZrEQohXK3m69n9AEkIIIYQQQhROEsJCvKTMzEwuX76sbF+5coX4+HisrKxeWL80r4ZtgwYNWLVqFceOHVNq8jo7O5OSksLatWvx8fFh+/btbN68+bWeC4CDgwMqlYpt27bRqlUrjIyMMDU15aOPPmL48OHKec2cOZMHDx7Qu3dvpa+uri6hoaFERETg7OycryTGi5w7d45mzZoREBDAkCFDlDqzurq6ymrNggwdOhQfHx8mTZpEp06dOHz4MAsWLGDhwoUFtvf398fX15d27doxc+ZMXFxcuHHjBtu3b6d9+/Z4e3szfPhwQkJC8PT0xN/fnx9++IFNmzZplCSAp6ui27RpQ05OjkbyWFuffvop27dvp3nz5owfP56GDRtSunRpLl68yM6dOwtMaP8dAQEBLF++PN/+vJXXmZmZ/PHHH8THx6Ovr68kwD/66CMWLFjAJ598wqBBg7h06RJTp04lPDxcGWPz5s1EREQoZSPc3NwIDAykT58+LF68mOzsbAYOHEjnzp2VFdJbt27NVy7iRT9T5ubmNG7cmOHDh2NkZISDgwP79+9nxYoVzJkzR+kXERHB77//rlE24sKFCzx+/Ji0tDT++usv5bxr166ttDlw4ABVqlShatWqL3GFhRBCCCGEEEKIfwi1EOKl/PTTT2og36dHjx5F9gPUX375pbpFixZqAwMDtaOjo3rdunUabYYPH64uU6aM2tTUVN2pUyf13Llz1RYWFsrx8ePHqz08PJTtHj16qNu2basxRuPGjdWffPKJxj4HBwf13Llz1Wq1Wn3lyhU1oD516pRyfOLEiWobGxu1SqVSzuPhw4fqQYMGqcuWLas2MDBQ+/n5qY8dO5bvvJKSktSAeubMmQWe8+bNmwu9JuPHjy/wWjo4OBTaJ8+GDRvU1atXV5cqVUptb2+v/vzzzws9Z7Varc7IyFAPGjRIXaFCBXWpUqXUdnZ26q5du6pTUlKUNgsXLlRXqVJFXapUKbWLi4t6xYoV+ebNzc1VOzg4qFu1apXvWEHXviCPHj1ST58+Xe3h4aE2MjJSGxgYqKtVq6b+9NNPNeIp6P4+K+9ZvHv3bqFt7ty5ozY0NFT/+uuvGvu1ue6HDh1Sv/POO2oDAwN1lSpV1FOmTFE/efJEOR4dHa1+/n8nd+7cUXfp0kVtamqqNjc3V/fs2VP9119/qdVqtTozM1NtaGiovnTpUoHnUdTPVGpqqjo0NFRdoUIFtaGhodrV1VU9e/ZsdW5ursb1aty4scbYDg4OBY79rJYtW6qnTZtW6DUsrvT0dDWgTk9Pf2VjCiGEEEIIIYQQhdH291CVWq1Wv/assxBCoVKp2Lx5M+3atSvpUF6pAwcO0Lx5c65du4a1tXVJh/PaZWZmUrFiRaKjo3nvvfdKOhytDB8+nIyMDL766qsSjWPTpk2MGTPmpUpYvC55JUsuXryIhYXFKxkzIyMDCwsL0tPTMTc3fyVjCiGEEEIIIYQQhdH291CdQo8IIYQWsrKyuH79OpGRkXTs2PFfnwzOzc3l9u3bTJo0CUtLy3xlD95mo0ePxsHB4bW8WLA4TE1NmTFjRonG8LzU1FRWrFjxypLBQgghhBBCCCHE20pqCAsh/pY1a9bQu3dvateurVGz9d8qJSWFypUrU6lSJWJiYtDT++f8M2ppaclnn31W0mHQsmXLkg4hH39//5IOQQghhBBCCCGEeCOkZIQQQgjxGkjJCCGEEEIIIYQQb5K2v4f+c5a2CSHEK/Dzzz/z+eefc/LkSVJTU4us59y/f3+++uor5s6dy+DBgwsdMzk5mcqVK3Pq1Clq166tcaxJkybUrl2befPmKdv79+8HQF9fn7Jly+Ll5UXPnj2LXYs4MjKSLVu2EB8fX2Q8edsFOXz4MPXq1VO2ly9fzpIlSzh48CCbNm1i8eLFnDx5krS0tHznV9S469evp2PHjgUei42NpWnTpty9exdLS0uNY46OjgwePFi53o6Ojly9ehUAQ0NDrK2tqVu3Lv3796dZs2ZFXJ38QkNDuXfvHlu2bCkynrztgqSmpmJjY1OseYUQ4m3iOGp7SYfwj5A8vXVJhyCEEEII8dpIDWEhxH/K/fv38fDw4Msvvyyy3ebNmzly5AgVKlR45TH06dOH1NRUkpKS2LhxI9WrV6dz58707dv3lc/1rL1795KamqrxqVOnjkab77//XqmLfP/+fRo0aFBovV87O7t8402YMAFTU1OCgoJeWdwTJ04kNTWVxMREVqxYgaWlJf7+/kyZMuWVzVGQxMTEfOdXvnz51zqnEEIIIYQQQgjxuskKYSHEf0pQUNALk5W///47gwYNYvfu3bRu/epXCBkbGyurTCtVqkS9evWoVq0avXr1IiQkRKlne/bsWT755BMOHz6MsbExHTp0YM6cOZiamr7UvGXKlClydeujR4/48ccfmTp1KgDdunUDnq4ELoiurm6+8TZv3kxISMhLx1gQMzMzZR57e3saNWqEra0t48aN4/3338fV1RWA/fv3M3z4cE6fPo2VlRU9evRg8uTJL13nuXz58vlWMAshhBBCCCGEEP90skJYCCGekZubS7du3Rg+fDju7u5vbN4ePXpQunRpNm3aBDxdnRsQEEDp0qU5fvw43333HXv37mXgwIGvLYZ9+/ZRsWJFqlWr9lL9T548SXx8PL17937FkeX3ySefoFar+f7774GnSfxWrVrh4+PD6dOnWbRoEcuWLWPy5MmvPZY8WVlZZGRkaHyEEEIIIYQQQoi3jawQFkKIZ8yYMQM9PT3Cw8OL3bd+/fro6Gj+ne3hw4f56goXREdHBxcXF2U17urVq3n06BErVqzAxMQEgAULFhAcHMyMGTOwtrYGnq4ifn41bmHvCi0ovszMTOW/ny0X8TKWLVuGm5sb9evX16p9pUqV8u178OCBVn2trKwoX768cr0WLlyInZ0dCxYsQKVSUa1aNW7cuMHIkSMZN26cct7btm3Ld71ycnK0is/BwYHz588XGtO0adOYMGGCVvELIYQQQgghhBAlRRLCQgjx/508eZKoqCh++eUXVCpVgW2CgoI4cOAAkD9BuG7dOtzc3DTad+3aVev51Wq1Mm9CQgIeHh5KMhjAz8+P3NxcEhMTlYSwq6srW7du1Rjn999/p0mTJvnGLyi+Z+f+4YcfWL9+vdbxPuvhw4esXr2asWPHaux3d3dXXgrXsGFDdu7cqRw7cOAAZmZmGu0Lirswz18vX19fjfvm5+dHZmYm169fx97eHoCmTZuyaNEijXGOHj3Khx9+mG/85+MrVapUkfFEREQwZMgQZTsjIwM7Ozutz0cIIYQQQgghhHgTJCEshBD/34EDB7h9+7aSPISnq0eHDh3KvHnzSE5OZunSpTx8+BDInyC0s7PDyclJY5+RkZFWc+fk5HDp0iV8fHyKFbO+vn6+OQurmVtQfHmOHTvGkydPtF7d+7wNGzbw4MEDunfvrrF/x44dZGdnA/mvReXKlfPV6NW23u+dO3f4448/qFy5crHiNDExyXcNrl+/XmDbguIrioGBAQYGBsWKRwghhBBCCCGEeNMkISyEEP9ft27dlBe65QkICKBbt2707NkTgIoVK76WuZcvX87du3fp0KEDAG5ubsTExHD//n1llXBcXBw6OjrKS9Repe+//57WrVujq6v7Uv2XLVvGu+++S7ly5TT2Ozg4vIrw8omKikJHR4d27doBT6/Xxo0bNVYNx8XFYWZmVmBpCiGE+K9Knv7qX5YqhBBCCCH+WSQhLIT4T8nMzOTy5cvK9pUrV4iPj8fKygp7e3vKlCmj0b5UqVLY2Ni80iTsgwcPuHnzJk+ePOH69ets3ryZuXPn8tFHH9G0aVPgaamJ8ePH06NHDyIjI/njjz8YNGgQ3bp1U8pFFNedO3e4efOmxj5LS0sMDQ3ZunUrEydO1DiWlpZGSkoKN27cACAxMREAGxsbbGxslHaXL1/m559/ZseOHS8V14v89ddf3Lx5k+zsbK5cucK3337L0qVLmTZtmrLa9+OPP2bevHkMGjSIgQMHkpiYyPjx4xkyZEi+usnaun37No8ePdLYV6ZMmReWjhBCCCGEEEIIId5mkhAWQvynnDhxQkm6AkrN1x49ehATE/NGYliyZAlLlixBX1+fMmXKUKdOHdatW0f79u2VNsbGxuzevZtPPvkEHx8fjI2N6dChA3PmzHnpeZ9f/QywZs0afHx8uHz5MgEBARrHtm7dqqyMBujcuTMA48ePJzIyUtn/zTffUKlSJVq2bPnSsRVl3LhxjBs3Dn19fWxsbKhXrx779u3TuI8VK1Zkx44dDB8+HA8PD6ysrOjduzdjxox56XkL+iPA4cOHqVev3kuPKYQQQgghhBBClDSVurDX0QshhPhPmDNnDnv37n1tK3z/qzIyMrCwsCA9PR1zc/OSDkcIIYQQQgghxL+ctr+Hvtz3aIUQQvxrVKpUiYiIiJIOQwghhBBCCCGEEG+AJISFEKIENGnShMGDB5d0GACEhITQsGHD1zJ2TEwMlpaWxeoTGhqqvCzuVXB0dGTevHmvbDwhhBBCCCGEEOKfTGoICyGE+Fc7fvw4JiYmJR2GEEIIIYQQQgjxVpCEsBBCiH+1cuXKlXQIQgjx1nActb2kQxD/McnTW5d0CEIIIYR4jpSMEEKIEpKbm8uIESOwsrLCxsaGyMhI5di9e/cICwujXLlymJub06xZM06fPg3AH3/8gY2NDVOnTlXaHzp0CH19ffbt2wdAUlISbdu2xdraGlNTU3x8fNi7d6/G/I6OjkydOpVevXphZmaGvb09X3/9tUabs2fP0qxZM4yMjChTpgx9+/YlMzMTgJ9//plSpUpx8+ZNjT6DBw8usgTF5MmTKV++PGZmZoSFhTFq1Chq165dYNsVK1ZQpkwZsrKyNPa3a9eObt26Kds//PADPj4+GBoaUrZsWdq3b69xns+WjFCpVCxdupT27dtjbGyMs7MzW7du1Rj/3LlzBAUFYWpqirW1Nd26dePPP/8s9JyEEEIIIYQQQoh/CkkICyFECVm+fDkmJiYcPXqUmTNnMnHiRPbs2QNAx44duX37Njt37uTkyZN4eXnRvHlz0tLSKFeuHN988w2RkZGcOHGCv/76i27dujFw4ECaN28OQGZmJq1atWLfvn2cOnWKwMBAgoODSUlJ0Yhh9uzZeHt7c+rUKT7++GM++ugjEhMTAbh//z4BAQGULl2a48eP891337F3714GDhwIQKNGjahSpQorV65UxsvOzmbVqlX06tWrwHNetWoVU6ZMYcaMGZw8eRJ7e3sWLVpU6DXq2LEjOTk5Ggnb27dvs337dmWO7du30759e1q1asWpU6fYt28fdevWLfLaT5gwgZCQEM6cOUOrVq3o2rUraWlpwNNkfLNmzfD09OTEiRPs2rWLW7duERISUuSYQgghhBBCCCHEP4FKrVarSzoIIYT4r2nSpAk5OTkcOHBA2Ve3bl2aNWtGmzZtaN26Nbdv38bAwEA57uTkxIgRI+jbty8AAwYMYO/evXh7e3P27FmOHz+u0f55NWrUoH///kpC19HRkYYNGyoJXbVajY2NDRMmTKB///4sWbKEkSNHcu3aNaUG744dOwgODubGjRtYW1szc+ZMYmJiuHDhAgCbNm2iR48e3Lx5ExMTE2JiYhg8eDD37t0DoF69enh7e7NgwQIlrgYNGpCZmUl8fDzw9KVy9+7dY8uWLQB8/PHHJCcns2PHDgDmzJnDl19+yeXLl1GpVNSvX58qVarw7bffFnjejo6ODB48WHmJn0qlYsyYMUyaNAl4mvg2NTVl586dBAYGMnnyZA4cOMDu3buVMa5fv46dnR2JiYm4uLgUOE9WVpbGSuaMjAzs7OxIT0/H3Ny80PsihBBvkpSMEG+alIwQQggh3pyMjAwsLCxe+HuorBAWQogSUqtWLY1tW1tbbt++zenTp8nMzKRMmTKYmpoqnytXrpCUlKS0nzVrFk+ePOG7775j1apVGsngzMxMhg0bhpubG5aWlpiampKQkJBvhfCzMahUKmxsbLh9+zYACQkJeHh4aLyQzc/Pj9zcXGUVcWhoKJcvX+bIkSMAxMTEEBISUuhL3BITE/Ot3n3Rat4+ffrw448/8vvvvytzhIaGolKpAIiPj1dWRmvr2fM2MTHB3NxcOe/Tp0/z008/aVz7atWqAWhc/+dNmzYNCwsL5WNnZ1esmIQQQgghhBBCiDdBXionhBAlpFSpUhrbKpWK3NxcMjMzsbW1JTY2Nl8fS0tL5b+TkpK4ceMGubm5JCcnU7NmTeXYsGHD2LNnD7NmzcLJyQkjIyPef/99Hj9+rFUM2ipfvjzBwcFER0dTuXJldu7cWWDcf4enpyceHh6sWLGCli1bcv78ebZv/78VbkZGRsUes6jzzszMJDg4mBkzZuTrZ2trW+iYERERDBkyRNnOWyEshBBCCCGEEEK8TSQhLIQQbxkvLy9u3ryJnp4ejo6OBbZ5/PgxH374IZ06dcLV1ZWwsDDOnj1L+fLlAYiLiyM0NFR5uVpmZibJycnFisPNzY2YmBju37+vrPiNi4tDR0cHV1dXpV1YWBhdunShUqVKVK1aFT8/v0LHdHV15fjx43Tv3l3Zd/z48RfGEhYWxrx58/j999/x9/fXSLTWqlWLffv20bNnz2KdX2G8vLzYuHEjjo6O6Olp/79JAwODIkt2CCGEEEIIIYQQbwNJCAshxFvG398fX19f2rVrx8yZM3FxceHGjRvKy9O8vb0ZPXo06enpzJ8/H1NTU3bs2EGvXr3Ytm0bAM7OzmzatIng4GBUKhVjx44t1spfgK5duzJ+/Hh69OhBZGQkf/zxB4MGDaJbt25YW1sr7QICAjA3N2fy5MlMnDixyDEHDRpEnz598Pb2pn79+qxbt44zZ85QpUqVIvt98MEHDBs2jCVLlrBixQqNY+PHj6d58+ZUrVqVzp078+TJE3bs2MHIkSOLdb55BgwYwJIlS+jSpQsjRozAysqKy5cvs3btWpYuXYquru5LjSuEEG8DqecqhBBCCCGkhrAQQrxlVCoVO3bsoFGjRvTs2RMXFxc6d+7M1atXsba2JjY2lnnz5rFy5UrMzc3R0dFh5cqVHDhwgEWLFgFPX7xWunRp6tevT3BwMAEBAXh5eRUrDmNjY3bv3k1aWho+Pj68//77NG/eXOOFcAA6OjqEhoaSk5OjsfK3IF27diUiIoJhw4bh5eXFlStXCA0NxdDQsMh+FhYWdOjQAVNTU9q1a6dxrEmTJnz33Xds3bqV2rVr06xZM44dO1asc31WhQoViIuLIycnh5YtW1KzZk0GDx6MpaUlOjryv00hhBBCCCGEEP9sKrVarS7pIIQQQvyz9e7dmz/++IOtW7cWu2+LFi2wsbFh5cqVRbZr3rw57u7uzJ8//2XDfKO0fburEEIIIYQQQgjxKmj7e6iUjBBCCPHS0tPTOXv2LKtXr9YqGfzgwQMWL15MQEAAurq6rFmzhr1797Jnz55C+9y9e5fY2FhiY2NZuHDhqwxfCCGEEEIIIYT4z5GEsBBCiJfWtm1bjh07Rv/+/WnRosUL2+eVw5gyZQqPHj3C1dWVjRs34u/vX2gfT09P7t69y4wZMzReZieEEEIIIYQQQojik5IRQgghhBYiIyPZsmUL8fHxWrWXkhFCCCGEEEIIId4kbX8PlbfjCCGE+EeKjIykdu3aJR2GEEIIIYQQQgjxjyIlI4QQQvynPX78GH19/ZIOQwgh3gjHUdvf+JzJ01u/8TmFEEIIIUThZIWwEEL8B+Tm5jJz5kycnJwwMDDA3t6eKVOmADBy5EhcXFwwNjamSpUqjB07luzsbKVv3krcb775Bnt7e0xNTfn444/Jyclh5syZ2NjYUL58eWW8PCqVikWLFhEUFISRkRFVqlRhw4YNGm2uXbtGSEgIlpaWWFlZ0bZtW5KTk5XjsbGx1K1bFxMTEywtLfHz8+Pq1avExMQwYcIETp8+jUqlQqVSERMTA8C9e/cICwujXLlymJub06xZM06fPp3vfJYuXUrlypUxNDQEICUlhbZt22Jqaoq5uTkhISHcunXrVd4GIYQQQgghhBCixMkKYSGE+A+IiIhgyZIlzJ07lwYNGpCamsqvv/4KgJmZGTExMVSoUIGzZ8/Sp08fzMzMGDFihNI/KSmJnTt3smvXLpKSknj//ff57bffcHFxYf/+/Rw6dIhevXrh7+/PO++8o/QbO3Ys06dPJyoqipUrV9K5c2fOnj2Lm5sb2dnZBAQE4Ovry4EDB9DT02Py5MkEBgZy5swZdHR0aNeuHX369GHNmjU8fvyYY8eOoVKp6NSpE+fOnWPXrl3s3bsXAAsLCwA6duyIkZERO3fuxMLCgq+++ormzZtz8eJFrKysALh8+TIbN25k06ZN6OrqkpubqySD9+/fz5MnTxgwYACdOnUiNjb2Dd0lIYQQQgghhBDi9ZOEsBBC/Mv99ddfREVFsWDBAnr06AFA1apVadCgAQBjxoxR2jo6OjJs2DDWrl2rkRDOzc3lm2++wczMjOrVq9O0aVMSExPZsWMHOjo6uLq6MmPGDH766SeNhHDHjh0JCwsDYNKkSezZs4cvvviChQsXsm7dOnJzc1m6dCkqlQqA6OhoLC0tiY2Nxdvbm/T0dNq0aUPVqlUBcHNzU8Y2NTVFT08PGxsbZd/Bgwc5duwYt2/fxsDAAIBZs2axZcsWNmzYQN++fYGnZSJWrFhBuXLlANizZw9nz57lypUr2NnZAbBixQrc3d05fvw4Pj4+L7zOWVlZZGVlKdsZGRkv7COEEEIIIYQQQrxpkhAWQoh/uYSEBLKysmjevHmBx9etW8f8+fNJSkoiMzOTJ0+e5HsbqaOjI2ZmZsq2tbU1urq66OjoaOy7ffu2Rj9fX9982/Hx8QCcPn2ay5cva4wL8OjRI5KSkmjZsiWhoaEEBATQokUL/P39CQkJwdbWttBzPX36NJmZmZQpU0Zj/8OHD0lKSlK2HRwclGQwPL1GdnZ2SjIYoHr16lhaWpKQkKBVQnjatGlMmDDhhe2EEEIIIYQQQoiSJAlhIYT4lzMyMir02OHDh+natSsTJkwgICAACwsL1q5dy+zZszXalSpVSmNbpVIVuC83N1fruDIzM6lTpw6rVq3KdywvWRsdHU14eDi7du1i3bp1jBkzhj179lCvXr1Cx7S1tS2wzIOlpaXy3yYmJlrHqa2IiAiGDBmibGdkZGgkmIUQQgghhBBCiLeBJISFEOJfztnZGSMjI/bt26eUb8hz6NAhHBwcGD16tLLv6tWrr2zuI0eO0L17d41tT09PALy8vFi3bh3ly5fPtyL5WZ6ennh6ehIREYGvry+rV6+mXr166Ovrk5OTo9HWy8uLmzdvoqenh6Ojo9Zxurm5ce3aNa5du6YkcS9cuMC9e/eoXr26VmMYGBgoZSqEEEIIIYQQQoi3lSSEhRDiX87Q0JCRI0cyYsQI9PX18fPz448//uD8+fM4OzuTkpLC2rVr8fHxYfv27WzevPmVzf3dd9/h7e1NgwYNWLVqFceOHWPZsmUAdO3alc8//5y2bdsyceJEKlWqxNWrV9m0aRMjRowgOzubr7/+mnfffZcKFSqQmJjIpUuXlASzo6MjV65cIT4+nkqVKmFmZoa/vz++vr60a9eOmTNn4uLiwo0bN9i+fTvt27fH29u7wDj9/f2pWbMmXbt2Zd68eTx58oSPP/6Yxo0bF9pHCCH+iZKnty7pEIQQQgghRAnTeXETIYQQ/3Rjx45l6NChjBs3Djc3Nzp16sTt27d59913+fTTTxk4cCC1a9fm0KFDjB079pXNO2HCBNauXUutWrVYsWIFa9asUVbcGhsb8/PPP2Nvb897772Hm5sbvXv35tGjR5ibm2NsbMyvv/5Khw4dcHFxoW/fvgwYMIB+/foB0KFDBwIDA2natCnlypVjzZo1qFQqduzYQaNGjejZsycuLi507tyZq1evYm1tXWicKpWK77//ntKlS9OoUSP8/f2pUqUK69ate2XXQgghhBBCCCGEeBuo1Gq1uqSDEEII8e+jUqnYvHkz7dq1K+lQSkRGRgYWFhakp6cXWRJDCCGEEEIIIYR4FbT9PVRWCAshhBBCCCGEEEIIIcR/hCSEhRBCCCGEEEIIIYQQ4j9CEsL/IDExMVhaWharT2ho6D/u69oqlYotW7aUdBhvHUdHR+bNm6d1++TkZFQqFfHx8a8tpr+jSZMmDB48uKTDKNLzP3ORkZHUrl1b6/5v+z143Ro3bkxsbKyy/eDBAzp06IC5uTkqlYp79+698ZgSExOxsbHhr7/+0rrP4sWLCQ4Ofo1RCSGEEEIIIYQQb44khN+QyMhIVCqVxqdatWolHdZ/1ptMOt+5c4fAwEAqVKiAgYEBdnZ2DBw4kIyMjDcy/6v26NEjQkNDqVmzJnp6egX+wSE0NDTf865SqXB3d3+lsbzMH0n+jmHDhrFv3743Nt+/zfLlyzlw4ACHDh0iNTUVCwuLF/aJjY19pcnjiIgIBg0ahJmZGaDd89yrVy9++eUXDhw48EpiEEIIIYQQQgghSpJeSQfwX+Lu7s7evXuVbT09ufwvIzs7m1KlSpV0GFrT0dGhbdu2TJ48mXLlynH58mUGDBhAWloaq1evLunwii0nJwcjIyPCw8PZuHFjgW2ioqKYPn26sv3kyRM8PDzo2LHjmwrztTA1NcXU1LSkw/jHSkpKws3NjRo1apTI/CkpKWzbto0vvvhC2afN86yvr88HH3zA/Pnzadiw4ZsKVwghXgvHUdtLOoQ3Knl665IOQQghhBDirSMrhN8gPT09bGxslE/ZsmU1js+ZM4eaNWtiYmKCnZ0dH3/8MZmZmYWOl/f19a+++go7OzuMjY0JCQkhPT09X9tZs2Zha2tLmTJlGDBgANnZ2cqxlStX4u3tjZmZGTY2NnzwwQfcvn27yHO5c+cOXbp0oWLFihgbG1OzZk3WrFmj0aZJkyaEh4czYsQIrKyssLGxITIyUqPNpUuXaNSoEYaGhlSvXp09e/ZoHM/7yv26deto3LgxhoaGrFq1itzcXCZOnEilSpUwMDCgdu3a7Nq1S+n3+PFjBg4ciK2tLYaGhjg4ODBt2jTgaekFgPbt26NSqZTtpKQk2rZti7W1Naampvj4+Ggk8PP6Tp06lV69emFmZoa9vT1ff/11kdeqdOnSfPTRR3h7e+Pg4EDz5s35+OOPNVYbajP381QqFYsWLSIoKAgjIyOqVKnChg0b8rX77bffaNq0KcbGxnh4eHD48GHlmDb38XkmJiYsWrSIPn36YGNjU2AbCwsLjWf9xIkT3L17l549e2q0e/LkCQMHDsTCwoKyZcsyduxY1Gq1cjwrK4thw4ZRsWJFTExMeOedd5QSBLGxsfTs2ZP09HRlBXLe8/UyzzQ8XXFsb2+PsbEx7du3586dOxrHny8Z8aLnUBuOjo5MnjyZ7t27Y2pqioODA1u3buWPP/6gbdu2mJqaUqtWLU6cOKHRb+PGjbi7u2NgYICjoyOzZ8/ON+6LntWzZ8/SrFkzjIyMKFOmDH379tX4Nyc2Npa6detiYmKCpaUlfn5+XL16FSi4HM3gwYNp0qRJgefZpEkTZs+ezc8//4xKpVLaFXWvkpOTadq0KfD050ilUhEaGgo8vfbTpk2jcuXKGBkZ4eHhUeDz/6z169fj4eFBxYoVlX3aPM8AwcHBbN26lYcPHxY5hxBCCCGEEEII8baThPAbdOnSJSpUqECVKlXo2rUrKSkpGsd1dHSYP38+58+fZ/ny5fzvf/9jxIgRRY55+fJl1q9fzw8//MCuXbs4deoUH3/8sUabn376iaSkJH766SeWL19OTEwMMTExyvHs7GwmTZrE6dOn2bJlC8nJyUrSpTCPHj2iTp06bN++nXPnztG3b1+6devGsWPHNNotX74cExMTjh49ysyZM5k4caKS9M3NzeW9995DX1+fo0ePsnjxYkaOHFngfKNGjeKTTz4hISGBgIAAoqKimD17NrNmzeLMmTMEBATw7rvvcunSJQDmz5/P1q1bWb9+PYmJiaxatUpJ/B4/fhyA6OhoUlNTle3MzExatWrFvn37OHXqFIGBgQQHB+e7T7Nnz8bb21u51h999BGJiYlFXq9n3bhxg02bNtG4cWNln7ZzP2/s2LF06NCB06dP07VrVzp37kxCQoJGm9GjRzNs2DDi4+NxcXGhS5cuPHnyBND+Pv5dy5Ytw9/fHwcHB439y5cvR09Pj2PHjhEVFcWcOXNYunSpcnzgwIEcPnyYtWvXcubMGTp27EhgYCCXLl2ifv36zJs3D3Nzc1JTU0lNTWXYsGHAyz3TR48epXfv3gwcOJD4+HiaNm3K5MmTi+zzoudQW3PnzsXPz49Tp07RunVrunXrRvfu3fnwww/55ZdfqFq1Kt27d1eS5SdPniQkJITOnTtz9uxZIiMjGTt2rMbPNRT9rN6/f5+AgABKly7N8ePH+e6779i7dy8DBw4Enibr27VrR+PGjTlz5gyHDx+mb9++qFSqYp1bnk2bNtGnTx98fX1JTU1l06ZNQNH3ys7OTlm1m5iYSGpqKlFRUQBMmzaNFStWsHjxYs6fP8+nn37Khx9+yP79+wuN4cCBA3h7e79U/N7e3jx58oSjR48W2iYrK4uMjAyNjxBCCCGEEEII8bZRqZ9djidem507d5KZmYmrqyupqalMmDCB33//nXPnzim1LJ+3YcMG+vfvz59//gk8Xb04ePBgpZZmZGQkkydP5urVq8qKt127dtG6dWt+//13bGxsCA0NJTY2lqSkJHR1dQEICQlBR0eHtWvXFjjviRMn8PHx4a+//irW1+PbtGlDtWrVmDVrFvB0RWBOTo7GSti6devSrFkzpk+fzo8//kjr1q25evUqFSpUUOIPCgpi8+bNtGvXjuTkZCpXrsy8efP45JNPlHEqVqzIgAED+OyzzzTG9vHx4csvvyQ8PJzz58+zd+/eAhNYKpVKmaMoNWrUoH///kqSzNHRkYYNG7Jy5UoA1Go1NjY2TJgwgf79+xc5VpcuXfj+++95+PAhwcHBrF+/HkNDw2LNPXjwYOVFbCqViv79+7No0SKlT7169fDy8mLhwoXKtVu6dCm9e/cG4MKFC7i7u5OQkFBoDevn72NRQkNDuXfvXpH1mG/cuIG9vT2rV68mJCRE2d+kSRNu377N+fPnlXs0atQotm7dyoULF0hJSaFKlSqkpKQozweAv78/devWZerUqfl+JgqjzTP9wQcfkJ6ezvbt//dV2s6dO7Nr1y6Nn7ktW7YoL4l70XOYdw9OnTpV6Mvonn+mbt68ia2tLWPHjmXixIkAHDlyREmk2tjY0LVrV/744w9+/PFHZZwRI0awfft2zp8/X+C4zz+rS5YsYeTIkVy7dg0TExMAduzYQXBwMDdu3KBUqVKUKVOG2NhYjT9e5Cno3g8ePJj4+HhlFXeTJk2oXbu28jLE548X5Pl7FRsbS9OmTbl7965SLzorKwsrKyv27t2Lr6+v0jcsLIwHDx4UWoqldu3adOjQgbFjxxZ4/EXPs5WVFXPnzqVHjx4FHo+MjGTChAn59qenp2Nubl7oOQshxJskJSOEEEIIIf69MjIysLCweOHvobJC+A0JCgqiY8eO1KpVi4CAAHbs2MG9e/dYv3690mbv3r00b96cihUrYmZmRrdu3bhz5w4PHjwodFx7e3uNrz/7+vqSm5ursWLV3d1dSQYD2Nraanx9/uTJkwQHB2Nvb4+ZmZmS/Mlbneru7q7UTg0KCgKe1t2cNGkSNWvWxMrKClNTU3bv3p1vRWutWrU0tp+dOyEhATs7O41k37PJnWc9u6ovIyODGzdu4Ofnp9HGz89PWR0bGhpKfHw8rq6uhIeHayTOCpOZmcmwYcNwc3PD0tISU1NTEhISijwnlUqFjY2Nck5BQUHKtXr+BWpz587ll19+4fvvvycpKYkhQ4YUe+7nPX+9fH19860QfjZeW1tbACVebe/j37F8+XIsLS0LTL7Xq1dPI2Hv6+vLpUuXyMnJ4ezZs+Tk5ODi4qJcU1NTU/bv309SUlKRc77MM52QkMA777yjMU5hzyNo9xxq69l7ZG1tDUDNmjXz7Xv2Z6egefOuXUHjPv+sJiQk4OHhoSSD88bI+/fDysqK0NBQAgICCA4OJioqitTU1GKdlzZedK8KcvnyZR48eECLFi00no0VK1YU+Ww8fPiwyD/CvIiRkVGR/x5HRESQnp6ufK5du/bScwkhhBBCCCGEEK+LvNWshFhaWuLi4sLly5eBp7Uy27Rpw0cffcSUKVOwsrLi4MGD9O7dm8ePH2NsbPzScz3/AjaVSkVubi7wf18bDwgIYNWqVZQrV46UlBQCAgJ4/Pgx8HTVYF7NYSMjIwA+//xzoqKimDdvnlL3ePDgwUofbeYujmeTVtrw8vLiypUr7Ny5k7179xISEoK/v3+RNUaHDRvGnj17mDVrFk5OThgZGfH+++8X65yWLl2q1Bh9vl1ePd1q1aphZWVFw4YNGTt2LLa2tlrP/TKejSMv+ZoXr7b38WWp1Wq++eYbunXrhr6+frH6ZmZmoqury8mTJzX+oAEUuXL9ZZ/pklTQPSrqvr3MuHnjFGeM6OhowsPD2bVrF+vWrWPMmDHs2bOHevXqoaOjw/NfMHm2Nrk2tLlXBcmrc7x9+3aNP4gBGBgYFNqvbNmy3L17t1gxPistLY1y5coVetzAwKDI+YUQQgghhBBCiLeBJIRLSGZmJklJSXTr1g14ukouNzeX2bNno6PzdOH2s6uHC5OSksKNGzeUVbZHjhxBR0cHV1dXreL49ddfuXPnDtOnT8fOzg4g38urnq/7ChAXF0fbtm358MMPgaeJqosXL1K9enWt5gVwc3Pj2rVrpKamKitXjxw58sJ+5ubmVKhQgbi4OI2vssfFxVG3bl2Ndp06daJTp068//77BAYGkpaWhpWVFaVKldJYSZnXPzQ0lPbt2wNP71FycrLW5wPkS04VJi8pl5WV9bfmPnLkCN27d9fY9vT01DreV3Efi7J//34uX76slKx43vP1WI8cOYKzszO6urp4enqSk5PD7du3adiwYYH99fX1893Hl32m3dzcCoynMNo+h6+Dm5sbcXFxGvvi4uJwcXHJlzwvaoyYmBju37+v/MElLi4u378fnp6eeHp6EhERga+vL6tXr6ZevXqUK1eOc+fOaYwZHx+fLwldFG3uVd4fEp69z9WrV8fAwICUlJQCy1kUxtPTkwsXLmjd/llJSUk8evSoWD9fQgghhBBCCCHE20gSwm/IsGHDCA4OxsHBgRs3bjB+/Hh0dXXp0qULAE5OTmRnZ/PFF18QHBxMXFwcixcvfuG4hoaG9OjRg1mzZpGRkUF4eDghISHY2NhoFZe9vT36+vp88cUX9O/fn3PnzjFp0qQX9nN2dmbDhg0cOnSI0qVLM2fOHG7dulWsRKK/vz8uLi706NGDzz//nIyMDEaPHq1V3+HDhzN+/HiqVq1K7dq1iY6OJj4+nlWrVgEwZ84cbG1t8fT0REdHh++++w4bGxulBqmjoyP79u3Dz88PAwMDSpcujbOzM5s2bSI4OBiVSsXYsWNfajXz83bs2MGtW7fw8fHB1NSU8+fPM3z4cPz8/JQX3b3s3N999x3e3t40aNCAVatWcezYMZYtW6Z1bC97Hy9cuMDjx49JS0vjr7/+UmrqPl8nd9myZbzzzjvUqFGjwHFSUlIYMmQI/fr145dffuGLL75g9uzZALi4uNC1a1e6d+/O7Nmz8fT05I8//mDfvn3UqlWL1q1b4+joSGZmJvv27cPDwwNjY+OXfqbDw8Px8/Nj1qxZtG3blt27d7Nr164i+7zoOXxdhg4dio+PD5MmTaJTp04cPnyYBQsWsHDhQq3H6Nq1K+PHj6dHjx5ERkbyxx9/MGjQILp164a1tTVXrlzh66+/5t1336VChQokJiZy6dIl5Q8QzZo14/PPP2fFihX4+vry7bffcu7cuWIlTLW5Vw4ODqhUKrZt20arVq0wMjLCzMyMYcOG8emnn5Kbm0uDBg1IT08nLi4Oc3PzQmv8BgQEEBYWRk5OjkbiXJvn+cCBA1SpUoWqVatqfX5CCPE2kpq6QgghhBBCagi/IdevX6dLly64uroSEhJCmTJlOHLkiPL1Yw8PD+bMmcOMGTOoUaMGq1atYtq0aS8c18nJiffee49WrVrRsmVLatWqVaykULly5YiJieG7776jevXqTJ8+XauXiY0ZMwYvLy8CAgJo0qQJNjY2L3xB2/N0dHTYvHkzDx8+pG7duoSFhTFlyhSt+oaHhzNkyBCGDh1KzZo12bVrF1u3bsXZ2RkAMzMzZs6cibe3Nz4+PiQnJ7Njxw5l9fXs2bPZs2cPdnZ2SgJrzpw5lC5dmvr16xMcHExAQABeXl7FOqeCGBkZsWTJEho0aICbmxuffvop7777Ltu2bVPavOzcEyZMYO3atdSqVYsVK1awZs2aYiXltbmPMTEx+V7M16pVKzw9Pfnhhx+IjY1VVpE+Kz09nY0bNxa6Ohige/fuyv0fMGAAn3zyCX379lWOR0dH0717d4YOHYqrqyvt2rXj+PHj2NvbA1C/fn369+9Pp06dKFeuHDNnznzpZ7pevXosWbKEqKgoPDw8+PHHHxkzZkyRfV70HL4uXl5erF+/nrVr11KjRg3GjRvHxIkTCQ0N1XoMY2Njdu/eTVpaGj4+Prz//vs0b96cBQsWKMd//fVXOnTogIuLC3379mXAgAH069cPeJpcHTt2LCNGjFBeAvfsanVtaHOvKlasyIQJExg1ahTW1tbKSxYnTZrE2LFjmTZtGm5ubgQGBrJ9+3YqV65c6HxBQUHo6emxd+9ejf3aPM9r1qyhT58+xTo/IYQQQgghhBDibaRSP18EUvxjREZGsmXLFmU1m/hvUalUbN68udiJ+OIaP348+/fvJzY29rXOI8Sb8OWXX7J161Z2796tdZ/z58/TrFkzLl68iIWFhdb9tH27qxBCCCGEEEII8Spo+3uolIwQQhRp586dyqpRIf7p+vXrx7179/jrr78wMzPTqk9qaiorVqwoVjJYCCGEEEIIIYR4W0lCWAhRpGPHjpV0CEK8Mnp6elrXKs/j7+//mqIRQgghhBBCCCHePKkh/A8WGRkp5SL+w9Rq9WsvFyFerdjYWFQqFffu3XtjcyYnJ6NSqd7Kfyu6devG1KlTSzoMAEaNGsWgQYNKOgwhhBBCCCGEEOK1k4SwEEI85+effyY4OJgKFSqgUqnYsmVLSYf0Rly+fJlevXphb2+PgYEBFStWpHnz5qxatYonT54o7VQqlfKxsLDAz8+P//3vf8rx0NDQF/6x4vTp0+zYsYPw8HBl36ZNm2jZsiVlypQpNIl98+ZNunXrho2NDSYmJnh5ebFx48Yi50pNTeWDDz7AxcUFHR0dBg8enK/NsGHDWL58Ob/99lu+YzExMcTExBQ5hxBCCCGEEEII8U8hCWEhhHjO/fv38fDw4MsvvyzpUN6YY8eO4eXlRUJCAl9++SXnzp0jNjaWsLAwFi1axPnz5zXaR0dHk5qaSlxcHGXLlqVNmzYFJlML88UXX9CxY0dMTU2Vfffv36dBgwbMmDGj0H7du3cnMTGRrVu3cvbsWd577z1CQkI4depUoX2ysrIoV64cY8aMwcPDo8A2ZcuWJSAggEWLFin75s6dy19//aVs//XXX8ydO1frcxRCiDfNcdT2F36EEEIIIYSQhLAQQjwnKCiIyZMn0759+2L1y8rKIjw8nPLly2NoaEiDBg04fvx4kX0OHjxIw4YNMTIyws7OjvDwcO7fv68cv3v3Lt27d6d06dIYGxsTFBTEpUuXgKcJVHNzczZs2KAx5pYtWzAxMdFIZhZFrVYTGhqKi4sLcXFxBAcH4+zsjLOzM126dOHgwYPUqlVLo4+lpSU2NjbUqFGDRYsW8fDhQ/bs2aPVfDk5OWzYsIHg4GCN/d26dWPcuHFF1uw9dOgQgwYNom7dulSpUoUxY8ZgaWnJyZMnC+3j6OhIVFQU3bt3L/LFcMHBwaxdu1bZLl26NC1atODgwYMcPHiQFi1aULp0aa3OUQghhBBCCCGEeFtJQlgIIV6RESNGsHHjRpYvX84vv/yCk5MTAQEBpKWlFdg+KSmJwMBAOnTowJkzZ1i3bh0HDx5k4MCBSpvQ0FBOnDjB1q1bOXz4MGq1mlatWpGdnY2JiQmdO3cmOjpaY9zo6Gjef/99zMzMtIo7Pj6ehIQEhg0bho5Owf9bUKlUhfY3MjIC4PHjx1rNd+bMGdLT0/H29taq/bPq16/PunXrSEtLIzc3l7Vr1/Lo0SOaNGmitGnSpAmhoaHFHrtu3bpcv36d5ORk4Om1X79+Pdu2bWPbtm2sX7++yHGzsrLIyMjQ+AghhBBCCCGEEG8bSQgLIcQrcP/+fRYtWsTnn39OUFAQ1atXZ8mSJRgZGbFs2bIC+0ybNo2uXbsyePBgnJ2dqV+/PvPnz2fFihU8evSIS5cusXXrVpYuXUrDhg3x8PBg1apV/P7770pd47CwMHbv3k1qaioAt2/fZseOHfTq1Uvr2C9evAiAq6ursu/27duYmpoqn4ULFxbY98GDB4wZMwZdXV0aN26s1XxXr15FV1eX8uXLax1jnvXr15OdnU2ZMmUwMDCgX79+bN68GScnJ6WNvb09tra2xR67QoUKSnwA3377LSEhIbRu3ZrWrVsTEhLCt99+W2j/adOmYWFhoXzs7OyKHYMQQgghhBBCCPG6SUJYCCGKaerUqRrJ0pSUFJKSksjOzsbPz09pV6pUKerWrUtCQkKB45w+fZqYmBiNsQICAsjNzeXKlSskJCSgp6fHO++8o/QpU6YMrq6uyph169bF3d2d5cuXA0+TmA4ODjRq1KjAOd3d3ZW5goKCCj3HMmXKEB8fT3x8PJaWlvlW/3bp0gVTU1PMzMzYuHEjy5Yty1dWojAPHz7EwMCgyFXHhRk7diz37t1j7969nDhxgiFDhhASEsLZs2eVNitWrGDatGnFHjtvpfODBw+Ap0nxPXv20LBhQxo2bMiePXu4fft2of0jIiJIT09XPteuXSt2DEIIIYQQQgghxOumV9IBCCHEP03//v0JCQlRtitUqMC9e/eKPU5mZib9+vUjPDw83zF7e3ulVvCLhIWF8eWXXzJq1Ciio6Pp2bNnocnWHTt2kJ2dDfxfAtTZ2RmAxMREPD09AdDV1VVW3erp5f9fxdy5c/H398fCwoJy5cppFWeesmXL8uDBAx4/foy+vr7W/ZKSkliwYAHnzp3D3d0dAA8PDw4cOMCXX37J4sWLixXH8/JKe+Sdz5AhQzSOm5mZ5dv3LAMDAwwMDP5WDEIIIYQQQgghxOsmCWEhhCgmKysrrKysNPZVrVoVfX194uLicHBwACA7O5vjx48zePDgAsfx8vLiwoULGuUOnuXm5saTJ084evQo9evXB+DOnTskJiZSvXp1pd2HH37IiBEjmD9/PhcuXKBHjx6Fxp4X27M8PT2pVq0as2bNIiQkpNA6ws+ysbEpNO4XqV27NgAXLlxQ/lsbeSt3n49PV1eX3Nzcl4rlWefOnaNUqVJKsjnPy9QjFkIIIYQQQggh3laSEBZCiOdkZmZy+fJlZfvKlSvEx8djZWWFvb19gX1MTEz46KOPGD58uNJu5syZPHjwgN69exfYZ+TIkdSrV4+BAwcSFhaGiYkJFy5cYM+ePSxYsABnZ2fatm1Lnz59+OqrrzAzM2PUqFFUrFiRtm3bKuOULl2a9957j+HDh9OyZUsqVapUrPNVqVRER0fTokUL/Pz8iIiIwM3NjezsbH7++Wf++OMPdHV1izVmUcqVK4eXlxcHDx7USAinpaWRkpLCjRs3gKcrluFp8tnGxoZq1arh5OREv379mDVrFmXKlGHLli3s2bOHbdu2KeN0796dihUrapSNiI+PB57e2z/++IP4+Hj09fU1EusHDhygYcOGysppIYT4p0me3rqkQxBCCCGEEP8AUkNYCCGec+LECTw9PZXyCUOGDMHT05Nx48YV2W/69Ol06NCBbt264eXlxeXLl9m9ezelS5cusH2tWrXYv38/Fy9epGHDhsoceS83A4iOjqZOnTq0adMGX19f1Go1O3bsoFSpUhpj9e7dm8ePHxfrZXLPqlevHidPnsTV1ZUBAwZQvXp16tevz5o1a5g7dy4fffTRS41bmLCwMFatWqWxb+vWrXh6etK69dOERufOnfH09FRKQZQqVYodO3ZQrlw5goODqVWrFitWrGD58uW0atVKGSclJUV5yV6evPt58uRJVq9ejaenp0YfgLVr19KnT59Xep5CCCGEEEIIIcTbRqVWq9UlHYQQQoi/Z+XKlXz66afcuHGjWHV5S8rDhw9xdXVl3bp1+Pr6lnQ47Ny5k6FDh3LmzJkCaya/jIyMDCwsLEhPT8fc3PyVjCmEEEIIIYQQQhRG299DpWSEEEL8gz148IDU1FSmT59Ov379/hHJYHj6QrsVK1bw559/lnQoANy/f5/o6OhXlgwWQgghhBBCCCHeVrJCWAgh/sEiIyOZMmUKjRo14vvvv8fU1LSkQxL/n6wQFkIIIYQQQgjxJmn7e6jUEBZCiH+wyMhIsrOz2bdvn9bJ4MjISI2Xuf1ThYaG0q5dO2VbrVbTt29frKysUKlUyovkhBBCCCGEEEII8X8kISyEEOJfYdeuXcTExLBt2zZSU1OpUaPGC/skJydL8lgIIYQQQgghxH+KFEsUQogiPH78+B9Tl/e/LikpCVtbW+rXr1/SoQghxFvLcdT2kg5BvKTk6a1LOgQhhBBC/EvICmEhxH9GkyZNGDhwIAMHDsTCwoKyZcsyduxYni2l7ujoyKRJk+jevTvm5ub07dsXgIMHD9KwYUOMjIyws7MjPDyc+/fvK/1SU1Np3bo1RkZGVK5cmdWrV+Po6Mi8efOUNiqViqVLl9K+fXuMjY1xdnZm69atGjGeO3eOoKAgTE1Nsba2plu3bhovXmvSpAnh4eGMGDECKysrbGxsiIyM1BgjJSWFtm3bYmpqirm5OSEhIdy6davQ65Kbm8vEiROpVKkSBgYG1K5dm127dinH81bRbtq0iaZNm2JsbIyHhweHDx/WGOdF1+h5p0+fpmnTppiZmWFubk6dOnU4ceIEUHBZi3nz5uHo6FjgWKGhoQwaNIiUlBRUKpXSbteuXTRo0ABLS0vKlClDmzZtSEpKUvpVrlwZAE9PT1QqFU2aNFGOLV26FDc3NwwNDalWrRoLFy4s9FyEEEIIIYQQQoh/CkkICyH+U5YvX46enh7Hjh0jKiqKOXPmsHTpUo02s2bNwsPDg1OnTjF27FiSkpIIDAykQ4cOnDlzhnXr1nHw4EEGDhyo9OnevTs3btwgNjaWjRs38vXXX3P79u1880+YMIGQkBDOnDlDq1at6Nq1K2lpaQDcu3ePZs2a4enpyYkTJ9i1axe3bt0iJCQk3zmYmJhw9OhRZs6cycSJE9mzZw/wNLnbtm1b0tLS2L9/P3v27OG3336jU6dOhV6TqKgoZs+ezaxZszhz5gwBAQG8++67XLp0SaPd6NGjGTZsGPHx8bi4uNClSxeePHkCoNU1el7Xrl2pVKkSx48f5+TJk4waNYpSpUoV2r4oUVFRSlI7NTWV48ePA3D//n2GDBnCiRMn2LdvHzo6OrRv357c3FwAjh07BsDevXtJTU1l06ZNAKxatYpx48YxZcoUEhISmDp1KmPHjmX58uWFxpCVlUVGRobGRwghhBBCCCGEeNtIyQghxH+KnZ0dc+fORaVS4erqytmzZ5k7dy59+vRR2jRr1oyhQ4cq22FhYXTt2pXBgwcD4OzszPz582ncuDGLFi0iOTmZvXv3cvz4cby9vYGnq0udnZ3zzR8aGkqXLl0AmDp1KvPnz+fYsWMEBgayYMECPD09mTp1qtL+m2++wc7OjosXL+Li4gJArVq1GD9+vBLLggUL2LdvHy1atGDfvn2cPXuWK1euYGdnB8CKFStwd3fn+PHj+Pj45Itp1qxZjBw5ks6dOwMwY8YMfvrpJ+bNm8eXX36ptBs2bBitWz/9uuqECRNwd3fn8uXLVKtWjWnTphV5jQwNDfPNm5KSwvDhw6lWrZrS52VZWFhgZmaGrq4uNjY2yv4OHTpotPvmm28oV64cFy5coEaNGpQrVw6AMmXKaPQbP348s2fP5r333gOeriS+cOECX331FT169CgwhmnTpjFhwoSXPgchhBBCCCGEEOJNkBXCQoj/lHr16qFSqZRtX19fLl26RE5OjrIvL6mb5/Tp08TExGBqaqp8AgICyM3N5cqVKyQmJqKnp4eXl5fSx8nJidKlS+ebv1atWsp/m5iYYG5urqwkPn36ND/99JPGPHnJ0mfLHDw7BoCtra0yRkJCAnZ2dkoyGKB69epYWlqSkJCQL56MjAxu3LiBn5+fxn4/P7987Z+d19bWFkAj9qKuUUGGDBlCWFgY/v7+TJ8+XeMcX5VLly7RpUsXqlSpgrm5uVJKIiUlpdA+9+/fJykpid69e2ucz+TJk4uMMSIigvT0dOVz7dq1V306QgghhBBCCCHE3yYrhIUQ4jkmJiYa25mZmfTr14/w8PB8be3t7bl48aLWYz9fEkGlUinlCzIzMwkODmbGjBn5+uUlYF80xuv07Lx5SfVnYy/qGhUkMjKSDz74gO3bt7Nz507Gjx/P2rVrad++PTo6Ohq1nQGys7OLHXNwcDAODg4sWbKEChUqkJubS40aNXj8+HGhfTIzMwFYsmQJ77zzjsYxXV3dQvsZGBhgYGBQ7BiFEEIIIYQQQog3SRLCQoj/lKNHj2psHzlyBGdn5yITfV5eXly4cAEnJ6cCj7u6uvLkyRNOnTpFnTp1ALh8+TJ3794tVmxeXl5s3LgRR0dH9PRe7p9nNzc3rl27xrVr15RVwhcuXODevXtUr149X3tzc3MqVKhAXFwcjRs3VvbHxcVRt27dYsVe1DUqjIuLCy4uLnz66ad06dKF6Oho2rdvT7ly5bh58yZqtVpJPsfHxxdr7Dt37pCYmMiSJUto2LAh8PTFd8/S19cH0Fghbm1tTYUKFfjtt9/o2rVrseYUQgghhBBCCCHedpIQFkL8p6SkpDBkyBD69evHL7/8whdffMHs2bOL7DNy5Ejq1avHwIEDCQsLw8TEhAsXLrBnzx4WLFhAtWrV8Pf3p2/fvixatIhSpUoxdOhQjIyMNMpTvMiAAQNYsmQJXbp0YcSIEVhZWXH58mXWrl3L0qVLi0xa5/H396dmzZp07dqVefPm8eTJEz7++GMaN26crxRGnuHDhzN+/HiqVq1K7dq1iY6OJj4+nlWrVmkd+4uu0fMePnzI8OHDef/996lcuTLXr1/n+PHjSs3fJk2a8McffzBz5kzef/99du3axc6dOzE3N9c6ptKlS1OmTBm+/vprbG1tSUlJYdSoURptypcvj5GREbt27aJSpUoYGhpiYWHBhAkTCA8Px8LCgsDAQLKysjhx4gR3795lyJAhWscghBBvm+TprUs6BCGEEEIIUcKkhrAQ4j+le/fuPHz4kLp16zJgwAA++eQT+vbtW2SfWrVqsX//fi5evEjDhg3x9PRk3LhxVKhQQWmzYsUKrK2tadSoEe3bt6dPnz6YmZkV+DK1wuSt1M3JyaFly5bUrFmTwYMHY2lpiY6Odv9cq1Qqvv/+e0qXLk2jRo3w9/enSpUqrFu3rtA+4eHhDBkyhKFDh1KzZk127drF1q1bi/WSN22u0bN0dXW5c+cO3bt3x8XFhZCQEIKCgpSXsrm5ubFw4UK+/PJLPDw8OHbsGMOGDdM6HgAdHR3Wrl3LyZMnqVGjBp9++imff/65Rhs9PT3mz5/PV199RYUKFWjbti3w9EWCS5cuJTo6mpo1a9K4cWNiYmKoXLlysWIQQgghhBBCCCHeNir180UahRDiX6pJkybUrl2befPmvfa5rl+/jp2dHXv37qV58+avfT7x9snIyMDCwoL09PRirWwWQgghhBBCCCFehra/h0rJCCGEeAX+97//kZmZSc2aNUlNTWXEiBE4OjrSqFGjkg5NCCGEEEIIIYQQQiEJYSGEeAWys7P57LPP+O233zAzM6N+/fqsWrWKUqVKlXRoQgghhBBCCCGEEAqpISy00qRJEwYPHqxsOzo6vvKv3T8/x5sQGhpKu3bt3uic2oqNjUWlUnHv3r1C20RGRlK7du0ix3lbz/FV3O/k5GRUKhXx8fFatY+NjX1t5SICAgI4d+4cDx484NatW2zevBkHBwfluDY/M48fP8bJyYlDhw69lhj/yRYvXkxwcPAL2zVp0gSVSlWs5wIgJiZG6fem/x0SQgghhBBCCCHeJEkIi5dy/PjxF76IS7x+w4YNY9++fSUdhnhFFi9eTOXKlalfv76yb8qUKdSvXx9jY2MsLS0L7Hf8+HGaN2+OpaUlpUuXJiAggNOnTxc517Rp0/Dx8cHMzIzy5cvTrl07EhMTC2xbuXJl9u7dS2xsLG3btsXW1hYTExNq167NqlWr8rX/7rvvqFatGoaGhtSsWZMdO3ZofQ3u3LlDpUqV8v0xpFevXvzyyy8cOHDghWP06dOH1NRUatSoAcDp06fp0qULdnZ2GBkZ4ebmRlRUlEafTp06kZqaiq+vb77xkpOTCQ0N1fochBBCCCGEEEKIt5mUjBAvpVy5ciUdwltLrVaTk5ODnt7r//EyNTXF1NT0tc8jCvf48WP09fX/9jhqtZoFCxYwceLEfON37NgRX19fli1blq9fZmYmgYGBvPvuuyxcuJAnT54wfvx4AgICuHbtWqElK/bv38+AAQPw8fHhyZMnfPbZZ7Rs2ZILFy5gYmKitDtz5gx3796lcePGfP7559SqVYuRI0dibW3Ntm3b6N69OxYWFrRp0waAQ4cO0aVLF6ZNm0abNm1YvXo17dq145dfflEStEXp3bs3tWrV4vfff9fYr6+vzwcffMD8+fNp2LBhkWMYGxtjY2OjbJ88eZLy5cvz7bffYmdnx6FDh+jbty+6uroMHDgQACMjI4yMjDTu5apVq6hXrx66urrA03u0cOFCPvjgA0qXLv3CcxFCvL0cR20v6RBKTPL01iUdghBCCCGEKGGyQli8lOe//q5SqVi6dCnt27fH2NgYZ2dntm7dqtFn//791K1bFwMDA2xtbRk1ahRPnjwpdI6srCyGDRtGxYoVMTEx4Z133iE2NlajzcaNG3F3d8fAwABHR0dmz56tHJs4cWKBCajatWszduxYrc915cqVeHt7Y2Zmho2NDR988AG3b99WjueVdti5cyd16tTBwMCAgwcPkpSURNu2bbG2tsbU1BQfHx/27t2b7xxHjhyJnZ0dBgYGODk55Uv6nTx5Em9vb4yNjalfv77GKs7nS0bk5OQwZMgQLC0tKVOmDCNGjECtVuebMzw8nPLly2NoaEiDBg04fvx4vvPZt29fofMCLFq0iKpVq6Kvr4+rqysrV65UjvXq1UtJEObJzs6mfPnyBSY1C/Prr7/SoEEDDA0NqV69Onv37kWlUrFly5Z8bdVqNU5OTsyaNUtjf3x8PCqVisuXLwNw7949+vXrh7W1NYaGhtSoUYNt27Yp7Q8ePEjDhg0xMjLCzs6O8PBw7t+/rxx3dHRk0qRJdO/eHXNzc2WlfFHPojZOnjxJUlISrVtr/qI+YcIEPv30U2rWrFnoNUpLS2PixIm4urri7u7O+PHjuXXrFlevXi10vl27dhEaGoq7uzseHh7ExMSQkpLCyZMnNdp9//33BAYGUqpUKT777DMmTZpE/fr1qVq1Kp988gmBgYFs2rRJaR8VFUVgYCDDhw/Hzc2NSZMm4eXlxYIFC154DRYtWsS9e/cYNmxYgceDg4PZunUrDx8+fOFYz+rVqxdRUVE0btyYKlWq8OGHH9KzZ0+NuAtSuXJlevToweLFi7l+/TqBgYH8/vvvGBgYFGt+IYQQQgghhBDibSIJYfHKTJgwgZCQEM6cOUOrVq3o2rUraWlpAPz++++0atUKHx8fTp8+zaJFi1i2bBmTJ08udLyBAwdy+PBh1q5dy5kzZ+jYsSOBgYFcunQJeJpACwkJoXPnzpw9e5bIyEjGjh1LTEwM8DQJlJCQoJHsPHXqFGfOnKFnz55an1d2djaTJk3i9OnTbNmypdCvj48aNYrp06eTkJBArVq1yMzMpFWrVuzbt49Tp04RGBhIcHAwKSkpSp/u3buzZs0a5s+fT0JCAl999VW+Fb+jR49m9uzZnDhxAj09PXr16lVorLNnzyYmJoZvvvmGgwcPkpaWxubNmzXajBgxgo0bN7J8+XJ++eUXnJycCAgIUO6VNvNu3ryZTz75hKFDh3Lu3Dn69etHz549+emnnwAICwtj165dpKamKn22bdvGgwcP6NSp04svOk+T2+3atcPY2JijR4/y9ddfM3r06ELbq1QqevXqRXR0tMb+6OhoGjVqhJOTE7m5uQQFBREXF8e3337LhQsXmD59urICNCkpicDAQDp06MCZM2dYt24dBw8eVFaR5pk1axYeHh6cOnWKsWPHvvBZ1MaBAwdwcXHBzMxM6z4Arq6ulClThmXLlvH48WMePnzIsmXLcHNzw9HRUeP6FBVPeno6AFZWVhr7t27dStu2bYvs92yfw4cP4+/vr9EmICCAw4cPK9uRkZEasQFcuHCBiRMnsmLFCnR0Cv5fk7e3N0+ePOHo0aOFxqOt5+MuSP369fnpp584fPgwsbGxDB48mKlTp2JsbFxg+6ysLDIyMjQ+QgghhBBCCCHE20ZKRohXJjQ0lC5dugAwdepU5s+fz7FjxwgMDGThwoXY2dmxYMECVCoV1apV48aNG4wcOZJx48blSwClpKQQHR1NSkoKFSpUAJ7Wy921axfR0dFMnTqVOXPm0Lx5c2W1r4uLCxcuXODzzz8nNDSUSpUqERAQQHR0ND4+PsDT5GDeKkFtPZsIrVKlCvPnz8fHx4fMzEyN5O3EiRNp0aKFsm1lZYWHh4eyPWnSJDZv3szWrVsZOHAgFy9eZP369ezZs0dJoBUU15QpU2jcuDHwNOncunVrHj16hKGhYb628+bNIyIigvfeew94WpN29+7dyvH79++zaNEiYmJiCAoKAmDJkiXs2bOHZcuWMXz4cK3mnTVrFqGhoXz88ccADBkyhCNHjjBr1iyaNm1K/fr1lVXDI0aMAJ5e+44dO2pd4mLPnj0kJSURGxurfP1/ypQpGtf4eaGhoYwbN45jx45Rt25dsrOzWb16tbJqeO/evRw7doyEhARcXFwAzWs+bdo0unbtqrxUzNnZmfnz59O4cWMWLVqkXPNmzZoxdOhQpV/Xrl2LfBa1cfXqVeVZLw4zMzNiY2Np164dkyZNUuLevXu3RtkSV1dXLCwsChwjNzeXwYMH4+fnp7Gq/vfff+fMmTPKs/K89evXc/z4cb766itl382bN7G2ttZoZ21tzc2bN5XtsmXLUrVqVWU7KyuLLl268Pnnn2Nvb89vv/1W4HzGxsZYWFgUufJZG4cOHWLdunVs3170V8aPHj3K8OHDqV+/PqVKlWLevHkcPnyYzz77rMCfv2nTpjFhwoS/FZsQQgghhBBCCPG6yQph8crUqlVL+W8TExPMzc2V0goJCQn4+vqiUqmUNn5+fmRmZnL9+vV8Y509e5acnBxcXFyUOrmmpqbs37+fpKQkZUw/Pz+Nfn5+fly6dImcnBzg6cul1qxZw6NHj3j8+DGrV68udIXtqlWrNObKe3nVyZMnCQ4Oxt7eHjMzMyVJ+uxKX3i6evFZmZmZDBs2DDc3NywtLTE1NSUhIUHpFx8fj66urjKeNtfV1tYWQKNkRZ709HRSU1N55513lH16enoacSUlJZGdna1x3UqVKkXdunVJSEjQet7Crv2zY4SFhSmrdW/dusXOnTsLvfZTp07VuPYpKSkkJiZiZ2enUQu2bt26BfbPU6FCBVq3bs0333wDwA8//EBWVhYdO3YEnl7zSpUqKcng550+fZqYmBiNWAICAsjNzeXKlStKu+fvtTbP4os8fPiwwCSjNv169+6Nn58fR44cIS4ujho1atC6dWuN0gq//vor7du3L3CMAQMGcO7cOdauXauxf+vWrTRo0KDAl9n99NNP9OzZkyVLluDu7l6smAcOHKjxMsSIiAjc3Nz48MMPX9jXyMiIBw8eFGu+Z507d462bdsyfvx4WrZsWWTbS5cuER0dTf/+/alUqRK7du3C2tq60PkjIiJIT09XPteuXXvpOIUQQgghhBBCiNfl/7F33+E13v/jx5+HyN4xMmQYiZAPGUQbqVErhIhRI3xIalVRVCNokRhVI0ZUqdWElsYeLWImSqgditRIpdGKUSMRIyK5f3/45f46MrXa0M/rcV3nunLu+z1e9zhceeV9XresEBYvzfMPr9JoNOTl5f2psbKysihfvjzHjx9Xv86f70UeohYQEICenh4bN25EV1eXnJwc3nnnnULbdujQQSuZamdnx/379/Hz88PPz4+VK1dSqVIl0tLS8PPz4/Hjx1r9n30QFzxd0bxr1y4iIyOpWbMmBgYGvPPOO2o/AwODUh3Ds+c1P6H+Z8/ri/ir8/bp04cxY8Zw6NAhDh48SLVq1Yp8GNigQYPo1q2b+v7PrJTN179/f3r37s2cOXOIjo6me/fu6lf8SzrnWVlZvPfeewwbNqzAPgcHB/Xn56/1y1CxYkV++umnF+63atUqUlNTOXTokLrSftWqVVhYWLB582Z69OhRbP+hQ4fy/fff88MPP1C1alWtfVu2bKFDhw4F+uzbt4+AgADmzJlDnz59tPZZW1tz/fp1rW3Xr1/XSuw/b+/evfz000+sW7cOQK17XbFiRT755BOtVbe3b9/+0w+1PHfuHC1atGDgwIGMGzeuxPb5CerU1FTg6edgyJAhRbbX09OT+sJCCCGEEEIIIV55khAW/4jatWuzfv16FEVRk4uJiYmYmJgUSEIBeHp6kpuby40bN4pMItauXZvExEStbYmJibi4uKhJZB0dHYKDg4mOjkZXV5cePXoUmRQ0MTEpUL/1+PHj3Lp1i2nTpmFvbw/AsWPHSnXMiYmJhISEqKsys7Ky1MQSQN26dcnLy2Pfvn0Faq7+GWZmZtjY2HD48GGaNGkCwJMnTzh+/DheXl4A6kPgEhMTcXR0BJ7WSD569KhaJqE08s99cHCwui0xMZE6deqo762srOjYsSPR0dEcOnSo2LrNlpaWBeq51qpViytXrnD9+nW1BMGz9aCL4u/vj5GREQsXLiQuLo4ffvhB3VevXj1+++03Lly4UOgqYS8vL86dO0fNmjVLnOdZpbkXS+Lp6cnChQu1PiOl8eDBA8qVK6fVJ/99cQl8RVH44IMP2LhxIwkJCVSrVk1rf1ZWFvHx8SxcuFBre0JCAkO8A/YAAQAASURBVO3bt2f69OnqA/We5ePjw549e7Tup127duHj41NkLOvXr9dazXz06FH69u3L/v37tUpLpKSk8OjRIzw9PYscqyhnz56lefPmBAcH8+mnn75QXycnpxeqBy2EePWlTmtXciMhhBBCCCH+paRkhPhHDB48mCtXrvDBBx/w888/s3nzZsLDwxk5cmShD5BycXGhV69e9OnThw0bNnD58mWOHDnCZ599ptb9/Oijj9izZw+TJ0/mwoULLF++nPnz5xMaGqo1Vv/+/dm7dy9xcXHFPpCtMA4ODujq6vL555/zyy+/sGXLFrVOa0mcnZ3ZsGEDSUlJnDp1ip49e2ol6JycnAgODqZv375s2rSJy5cvk5CQwJo1a14oxmcNHz6cadOmsWnTJn7++WcGDx7M3bt31f1GRka8//77jBo1iri4OM6dO8eAAQN48OAB/fr1K/U8o0aNIiYmhoULF3Lx4kVmz57Nhg0bCj33y5cvJzk5WSt5XBqtWrWiRo0aBAcHc/r0aRITE9VVncUlTMuXL09ISAhjx47F2dlZKxHZtGlTmjRpQpcuXdi1axeXL19m+/btxMXFATB69GgOHjzI0KFDSUpK4uLFi2zevLnAQ+WeV9p7sThvv/02WVlZnD17Vmt7WloaSUlJpKWlkZubS1JSEklJSWRlZann6c6dOwwZMoTk5GTOnj3Lu+++i46ODm+//bY6jqurq9YDBocMGcI333zDqlWrMDEx4dq1a1y7dk1NzMbFxeHi4qL18Lf4+HjatWvHsGHD6NKli9rn2QcSDh8+nLi4OGbNmsXPP/9MREQEx44d0zqH8+fPp0WLFur7GjVq8J///Ed95Sena9euTeXKldV2+/fvp3r16lpJ4tI4c+YMb7/9Nq1bt2bkyJFq3Ddv3nyhcYQQQgghhBBCiH8DSQiLf4SdnR3btm3jyJEjuLu7M2jQIPr161fs17ajo6Pp06cPH330EbVq1aJjx44cPXpU/eq+l5cXa9asITY2lv/85z9MmDCBSZMmFXiIl7OzM40aNcLV1VWrJERpVKpUiZiYGNauXUudOnWYNm2a+oCyksyePRsLCwsaNWpEQEAAfn5+6krdfAsXLuSdd95h8ODBuLq6MmDAAO7fv/9CMT7ro48+onfv3gQHB+Pj44OJiUmBurHTpk2jS5cu9O7dGy8vLy5dusSOHTuwsLAo9TwdO3YkKiqKyMhI3NzcWLRoEdHR0TRr1kyrXcuWLbGxscHPz++Fy0CUL1+eTZs2kZWVhbe3N/379+eTTz4BKLHWbr9+/Xj8+HGhq5LXr1+Pt7c3QUFB1KlTh7CwMLXOb7169di3bx8XLlygcePGeHp6MmHChBJjL+29WBwrKys6derEypUrtbZPmDABT09PwsPDycrKwtPTE09PT3WluqurK9999x2nT5/Gx8eHxo0bc/XqVeLi4tTazwDnz58nIyNDfb9w4UIyMjJo1qwZNjY26mv16tUAbN68uUC5iOXLl/PgwQM+++wzrT75DzEEaNSoEatWrWLx4sW4u7uzbt06Nm3apPWwuj/++EOtBf4ivv32WwYMGPDC/datW8fNmzf55ptvtOLOf9ikEEIIIYQQQgjxv0Sj5BdrFOJfSlEUnJ2dGTx4MCNHjizrcP6nZGVlYWdnR3R0tFbS8M9KTEzkrbfe4tKlS8WuEt2/fz8tWrTgypUrarmJ18Hp06dp1aoVKSkpL1Qr+2V78uQJVapUYfv27SU+yO+fkl/y4cKFC5iZmRXZrlmzZnh4eDB37tw/Nc9f7f+szMxMzMzMyMjIwNTU9C+PJ4QQQgghhBBCFKe0v4fKCmHxr3bz5k3mz5/PtWvXiq1hK16uvLw8bty4weTJkzE3Ny/0wWSlsXHjRnbt2kVqaiq7d+9m4MCB+Pr6FpkMzs7O5rfffiMiIoKuXbu+VslgeLpCefr06Vy+fLlM47h9+zYffvjhK7WCNj09nRUrVhSbDM63YMECjI2NX+ghfStXrsTY2Jj9+/f/lTCFEEIIIYQQQohXniSERZmIiYnB3Nz8hfqEhITQsWPHF+pTuXJlJk2axOLFi1+oJMLLotFo2LRp0z8+b1mKiIjgP//5D1WqVGHVqlV89dVX6Oj8uedX3rt3jyFDhuDq6kpISAje3t5s3ry5yPbffvstjo6O3L17lxkzZvzZQ/hTXtY9HRISQt26dV9eYP/f8/FFRETg4eFRaNvKlSszbtw4rVrNqampaDQakpKSXmheJycnrdW2f/Yz0bJlS/z8/LS2JSQkoNFotOpk9+7dGxsbGx48eMDixYtLPX6HDh1ISkri/PnzxZayEUIIIYQQQgghXneSEBYvLCIiAo1Go/VydXUt67AKpSgKN2/epGfPnmUdyt/mn0w637p1izZt2mBra4uenh729vYMHTqUzMxMrXa6urooisKVK1e0Hh5WWvnJx3r16nHhwgUePXrEb7/9RkxMDFZWVkX2CwkJITc3l+PHj2NnZwc8LTXQpUsXnJyc0Gg0hZYCyN/3/GvIkCEvHPvrIjQ0lD179vzj86anp9O2bdu/bfyPP/6YoKAgfvvtN6ZOnVqqPs2aNWP8+PHUrFmTmjVrUrFixb8tPiGEEEIIIYQQoqz9uWV74n+em5sbu3fvVt//2RWg/+tycnKoUKFCWYdRauXKlSMwMJApU6ZQqVIlLl26xJAhQ7h9+zarVq0q6/AK9eDBA6pXr07Xrl358MMPC21z9OhR9cFyAGfOnKFVq1Z07dr1nwrzH2dsbFwmdYqtra3/trGzsrK4cePGn3qIoRBC/K9wGrO1rEMQhUid1q6sQxBCCCHE/xBZISz+FB0dHaytrdXX8yvqZs+eTd26dTEyMsLe3p7BgweTlZVV5Hj5X19ftGgR9vb2GBoa0q1bNzIyMgq0jYyMxMbGBisrK4YMGUJOTo667+uvv6ZBgwaYmJhgbW1Nz549uXHjRrHHcuvWLYKCgrCzs8PQ0JC6devy7bffarVp1qwZw4YNIywsDEtLS6ytrYmIiNBqc/HiRZo0aYK+vj516tRh165dWvvzV72uXr2apk2boq+vz8qVK8nLy2PSpElUrVoVPT09PDw8iIuLU/s9fvyYoUOHYmNjg76+Po6Ojnz22WfA05WtAJ06dUKj0ajvU1JSCAwMpEqVKhgbG+Pt7a2VwM/vO3XqVPr27YuJiQkODg4lfsXewsKC999/nwYNGuDo6EiLFi0YPHhwoXVXS7qWS5cupXbt2ujr6+Pq6sqCBQvUfdWqVQPA09MTjUZDs2bNgKeJ21atWlGxYkXMzMxo2rQpJ06cKDZmb29vZs6cSY8ePdDT0yu0TaVKlbTu5++//54aNWrQtGlTtc3rdE/D0xIRDg4OGBoa0qlTJ27dulVofPlKug9L48aNGwQEBGBgYEC1atVYuXJlgTbPrmgv7t4urETF3bt30Wg0JCQkFBg3ISEBExMTAJo3b662K+nzHRISwr59+4iKilJXhqempgJP/zDQtm1bjI2NqVKlCr179+aPP/54oXMihBBCCCGEEEK8aiQhLP6UixcvYmtrS/Xq1enVqxdpaWla+8uVK8e8efM4e/Ysy5cvZ+/evYSFhRU75qVLl1izZg3fffcdcXFxnDx5ksGDB2u1iY+PJyUlhfj4eJYvX05MTAwxMTHq/pycHCZPnsypU6fYtGkTqamphISEFDvvo0ePqF+/Plu3buXMmTMMHDiQ3r17c+TIEa12y5cvx8jIiMOHDzNjxgwmTZqkJn3z8vLo3Lkzurq6HD58mC+//JLRo0cXOt+YMWMYPnw4ycnJ+Pn5ERUVxaxZs4iMjOT06dP4+fnRoUMHLl68CMC8efPYsmULa9as4fz586xcuVJN/B49ehSA6Oho0tPT1fdZWVn4+/uzZ88eTp48SZs2bQgICChwnWbNmkWDBg3Uc/3+++9z/vz5Ys/Xs65evcqGDRu0EqdQ8rVcuXIlEyZM4NNPPyU5OZmpU6cyfvx4li9fDqCe+927d5Oens6GDRuApzWFg4ODOXDgAD/++CPOzs74+/tz7969UsdcksePH/PNN9/Qt29frRq6r9M9ffjwYfr168fQoUNJSkri7bffZsqUKcX2Kek+LI2QkBCuXLlCfHw869atY8GCBcUmr4u7t19Uo0aN1Ht3/fr1pKen06hRoxI/31FRUfj4+DBgwADS09NJT0/H3t6eu3fv0rx5czw9PTl27BhxcXFcv36dbt26/an4hBBCCCGEEEKIV4V8z1+8sDfeeIOYmBhq1apFeno6EydOpHHjxpw5c0ZdoTdixAi1vZOTE1OmTGHQoEFaq0Cf9+jRI1asWKHWfv38889p164ds2bNUr9mbmFhwfz58ylfvjyurq60a9eOPXv2MGDAAAD69u2rjle9enXmzZuHt7c3WVlZRX493s7OjtDQUPX9Bx98wI4dO1izZg0NGzZUt9erV4/w8HAAnJ2dmT9/Pnv27KFVq1bs3r2bn3/+mR07dqhfVZ86dWqhtVJHjBhB586d1feRkZGMHj2aHj16ADB9+nTi4+OZO3cuX3zxBWlpaTg7O/PWW2+h0WhwdHRU+1aqVAkAc3Nzra/iu7u74+7urr6fPHkyGzduZMuWLQwdOlTd7u/vryYoR48ezZw5c4iPj6dWrVqFnqt8QUFBbN68mYcPHxIQEMDSpUu19pd0LcPDw5k1a5Z6HqpVq8a5c+dYtGgRwcHB6nFZWVlpHVfz5s215lm8eDHm5ubs27eP9u3bFxtzaW3atIm7d+8WSLq+Tvd0VFQUbdq0URPWLi4uHDx4sNgVvyXdhyW5cOEC27dv58iRI3h7ewOwbNkyateuXWSf4u7tF6Wrq0vlypUB1FX8UPLn28zMDF1dXQwNDbXutfnz5+Pp6alVh/irr77C3t6eCxcu4OLiUiCG7OxssrOz1ffP19YWQgghhBBCCCFeBbJCWLywtm3b0rVrV+rVq4efnx/btm3j7t27rFmzRm2ze/duWrRogZ2dHSYmJvTu3Ztbt27x4MGDIsd1cHBQE2cAPj4+5OXlaa1YdXNzo3z58up7GxsbrRWIx48fJyAgAAcHB0xMTNSVq/krY93c3NTaqfnJ2tzcXCZPnkzdunWxtLTE2NiYHTt2FFhNW69ePa33z86dnJyMvb29Vt1SHx+fQo+zQYMG6s+ZmZlcvXoVX19frTa+vr4kJycDT1ddJiUlUatWLYYNG8bOnTsLHfdZWVlZhIaGUrt2bczNzTE2NiY5ObnYY9JoNFhbW6vHlP9VeWNjY9zc3LT6zZkzhxMnTrB582ZSUlIYOXKk1v7iruX9+/dJSUmhX79+6vjGxsZMmTKFlJSUYo/r+vXrDBgwAGdnZ8zMzDA1NSUrK6vAcf0Vy5Yto23btgVq0L5O93RycjJvvPGGVixF3Y9QuvuwJMnJyejo6FC/fn11m6urK+bm5kX2+TP39osq7ef7eadOnSI+Pl7rHs1/eGZR9+lnn32GmZmZ+rK3t3/pxyOEEEIIIYQQQvxVskJY/GXm5ua4uLhw6dIl4Gntz/bt2/P+++/z6aefYmlpyYEDB+jXrx+PHz/G0NDwT8/1/APYNBoNeXl5ANy/fx8/Pz/8/PxYuXIllSpVIi0tDT8/Px4/fgzAtm3b1PqsBgYGAMycOZOoqCjmzp2r1ogdMWKE2qc0c78IIyOjF2rv5eXF5cuX2b59O7t376Zbt260bNmSdevWFdknNDSUXbt2ERkZSc2aNTEwMOCdd955oWNaunQpDx8+LLRdfq1dV1dXLC0tady4MePHj8fGxqbE48mvu7tkyZICSctnE6OFCQ4O5tatW0RFReHo6Iienh4+Pj4FjuvP+vXXX9m9e7daoiLf63ZPvy6Ku7fLlXv690pFUdT2z9ZWLq3Sfr6fl5WVRUBAANOnTy+wr6j7fOzYsVp/HMnMzJSksBBCCCGEEEKIV44khMVflpWVRUpKCr179waermjMy8tj1qxZalLn2dXDRUlLS+Pq1avqyswff/yRcuXKlVi+IN/PP//MrVu3mDZtmpqEOXbsmFabwr6SnpiYSGBgIP/973+Bp/WAL1y4QJ06dUo1L0Dt2rW5cuUK6enparLoxx9/LLGfqakptra2JCYmatXhTUxM1CpXYWpqSvfu3enevTvvvPMObdq04fbt21haWlKhQgVyc3MLHFNISAidOnUCnl6j/AdlldazK1uLk5+8fPar8sVdyypVqmBra8svv/xCr169Ch1TV1cXoNDjWrBgAf7+/gBcuXLlpT7kKzo6msqVK9OunfaTvl+3e7p27docPnxYa1tx92Np78PiuLq68uTJE44fP66WjDh//jx3794ttl9R93Z+2ZD09HQ8PT0BtB4wV1ql+Xzr6uoWuNe8vLxYv349Tk5O6OiU7r9KPT29Ih9cKIQQQgghhBBCvCokISxeWGhoKAEBATg6OnL16lXCw8MpX748QUFBANSsWZOcnBw+//xzAgICSExM5MsvvyxxXH19fYKDg4mMjCQzM5Nhw4bRrVs3rbqexXFwcEBXV5fPP/+cQYMGcebMGSZPnlxiP2dnZ9atW8fBgwexsLBg9uzZXL9+/YUSwi1btsTFxYXg4GBmzpxJZmYmn3zySan6jho1ivDwcGrUqIGHhwfR0dEkJSWxcuVKAGbPno2NjQ2enp6UK1eOtWvXYm1trX4V38nJiT179uDr64uenh4WFhY4OzuzYcMGAgIC0Gg0jB8//k+tZn7etm3buH79Ot7e3hgbG3P27FlGjRqFr6+v1sPASrqWEydOZNiwYZiZmdGmTRuys7M5duwYd+7cYeTIkVSuXBkDAwPi4uKoWrUq+vr6mJmZ4ezszNdff02DBg3IzMxk1KhRJa6Kffz4MefOnVN//v3330lKSsLY2JiaNWuq7fLy8oiOjiY4OLhAAvB1u6eHDRuGr68vkZGRBAYGsmPHjmLrB0PJ92FJatWqRZs2bXjvvfdYuHAhOjo6jBgxotjrU9y9Xa5cOd58802mTZtGtWrVuHHjBuPGjStVLM8qzefbycmJw4cPk5qairGxMZaWlgwZMoQlS5YQFBREWFgYlpaWXLp0idjYWJYuXVrianYhhHhVpU5rV3IjIYQQQgjxryY1hMUL++233wgKCqJWrVp069YNKysrfvzxR3VFn7u7O7Nnz2b69On85z//YeXKlXz22WcljluzZk06d+6Mv78/rVu3pl69esU+sOt5lSpVIiYmhrVr11KnTh2mTZtGZGRkif3GjRuHl5cXfn5+NGvWDGtrazp27FjqeQHKlSvHxo0befjwIQ0bNqR///58+umnpeo7bNgwRo4cyUcffUTdunWJi4tjy5YtODs7A2BiYsKMGTNo0KAB3t7epKamsm3bNnWl6qxZs9i1axf29vbqSsrZs2djYWFBo0aNCAgIwM/PDy8vrxc6psIYGBiwZMkS3nrrLWrXrs2HH35Ihw4d+P7777XalXQt+/fvz9KlS4mOjqZu3bo0bdqUmJgYqlWrBoCOjg7z5s1j0aJF2NraEhgYCDyt73vnzh28vLzo3bs3w4YNUx8kli8kJIRmzZqp769evYqnpyeenp6kp6cTGRmJp6cn/fv31+q3e/du0tLStB7ilu91u6fffPNNlixZQlRUFO7u7uzcubPEZGpJ92FpREdHY2trS9OmTencuTMDBw4scH2eVdK9/dVXX/HkyRPq16/PiBEjmDJlSqljyVeaz3doaCjly5enTp06almO/BXTubm5tG7dmrp16zJixAg1WS2EEEIIIYQQQryuNMqzBRqFKCMRERFs2rTpT30lXIhnNW3alLfffpuIiIgyjUPuaZGZmYmZmRkZGRmYmpqWdThCCCGEEEIIIf7lSvt7qJSMEEL8a2RkZJCSksLWrVvLOhQhhBBCCCGEEEKIV5IkhIUQ/xpmZmb89ttvZR2GEEIIIYQQQgghxCtLCiGKV0JERIR8tV78q/zVe9rJyYm5c+e+tHhKEhIS8sK1s1+2iIgIPDw8/tIYCQkJaDQa7t69+1JiEkIIIYQQQggh/m0kISyEEOJ/WrNmzRgxYkRZhyGEEEIIIYQQQvwjpGSEEEIIIYQQ/yOcxkid/b8qdVq7sg5BCCGEEOIvkRXCQghRBu7du0evXr0wMjLCxsaGOXPmFLlStW/fvrRv315rW05ODpUrV2bZsmUA5OXlMWPGDGrWrImenh4ODg58+umnavuffvqJ5s2bY2BggJWVFQMHDiQrK6vAXJGRkdjY2GBlZcWQIUPIyckBYNKkSfznP/8p0N7Dw4Px48erMUyaNImqVauip6eHh4cHcXFxWu1/++03goKCsLS0xMjIiAYNGnD48GGtNl9//TVOTk6YmZnRo0cP7t27p+7Lzs5m2LBhVK5cGX19fd566y2OHj1a5Hm+desWQUFB2NnZYWhoSN26dfn222/V/SEhIezbt4+oqCg0Gg0ajYbU1FQAzpw5Q9u2bTE2NqZKlSr07t2bP/74o8i5hBBCCCGEEEKI14EkhIUQogyMHDmSxMREtmzZwq5du9i/fz8nTpwotG3//v2Ji4sjPT1d3fb999/z4MEDunfvDsDYsWOZNm0a48eP59y5c6xatYoqVaoAcP/+ffz8/LCwsODo0aOsXbuW3bt3M3ToUK154uPjSUlJIT4+nuXLlxMTE0NMTAzwNCmdnJyslXw9efIkp0+f5t133wUgKiqKWbNmERkZyenTp/Hz86NDhw5cvHgRgKysLJo2bcrvv//Oli1bOHXqFGFhYeTl5aljpqSksGnTJr7//nu+//579u3bx7Rp09T9YWFhrF+/nuXLl3PixAlq1qyJn58ft2/fLvTcPXr0iPr167N161bOnDnDwIED6d27N0eOHFFj9vHxYcCAAaSnp5Oeno69vT13796lefPmeHp6cuzYMeLi4rh+/TrdunUr+eIKIYQQQgghhBCvMI2iKEpZByGEEP9L7t27h5WVFatWreKdd94BICMjA1tbWwYMGMDcuXNxcnJixIgR6ophNzc3goODCQsLA6BDhw5YWVkRHR3NvXv3qFSpEvPnz6d///4F5luyZAmjR4/mypUrGBkZAbBt2zYCAgK4evUqVapUISQkhISEBFJSUihfvjwA3bp1o1y5csTGxgLg7++Pk5MTCxYsAGDYsGH89NNPxMfHA2BnZ8eQIUP4+OOP1bkbNmyIt7c3X3zxBYsXLyY0NJTU1FQsLS0LxBkREcHMmTO5du0aJiYmwNME8A8//MCPP/7I/fv3sbCwICYmhp49ewJPV0rnn6tRo0aRkJDA22+/zZ07dzA3Ny/0/Ldv3x5XV1ciIyOBpzWEPTw8tB7iN2XKFPbv38+OHTvUbb/99hv29vacP38eFxeXAuNmZ2eTnZ2tvs/MzMTe3p6MjAxMTU0LjUUIIf5pUjLir5OSEUIIIYR4VWVmZmJmZlbi76GyQlgIIf5hv/zyCzk5OTRs2FDdZmZmRq1atYrs079/f6KjowG4fv0627dvp2/fvgAkJyeTnZ1NixYtCu2bnJyMu7u7mgwG8PX1JS8vj/Pnz6vb3Nzc1GQwgI2NDTdu3FDfDxgwgG+//ZZHjx7x+PFjVq1apcaQmZnJ1atX8fX11Zrb19eX5ORkAJKSkvD09Cw0GZzPyclJTQY/H0NKSgo5OTlac1SoUIGGDRuqczwvNzeXyZMnU7duXSwtLTE2NmbHjh2kpaUVGQPAqVOniI+Px9jYWH25urqqcRTms88+w8zMTH3Z29sXO4cQQgghhBBCCFEW5KFyQgjxGujTpw9jxozh0KFDHDx4kGrVqtG4cWMADAwMXsocFSpU0Hqv0Wi0yjkEBASgp6fHxo0b0dXVJScnR13hXBqlibOkGF7UzJkziYqKYu7cudStWxcjIyNGjBjB48ePi+2XlZVFQEAA06dPL7DPxsam0D5jx45l5MiR6vv8FcJCCCGEEEIIIcSrRFYICyHEP6x69epUqFBBqx5vRkYGFy5cKLKPlZUVHTt2JDo6mpiYGLVuL4CzszMGBgbs2bOn0L61a9fm1KlT3L9/X92WmJhIuXLlil2V/DwdHR2Cg4OJjo4mOjqaHj16qEleU1NTbG1tSUxM1OqTmJhInTp1AKhXrx5JSUlF1vstSY0aNdDV1dWaIycnh6NHj6pzPC8xMZHAwED++9//4u7uTvXq1QucZ11dXXJzc7W2eXl5cfbsWZycnKhZs6bW69mV1s/S09PD1NRU6yWEEEIIIYQQQrxqZIWwEEL8w0xMTAgODmbUqFFYWlpSuXJlwsPDKVeuHBqNpsh+/fv3p3379uTm5hIcHKxu19fXZ/To0YSFhaGrq4uvry83b97k7Nmz9OvXj169ehEeHk5wcDARERHcvHmTDz74gN69e6sPniut/v37U7t2bYACyd9Ro0YRHh5OjRo18PDwIDo6mqSkJFauXAlAUFAQU6dOpWPHjnz22WfY2Nhw8uRJbG1t8fHxKXFuIyMj3n//ffW8OTg4MGPGDB48eEC/fv0K7ePs7My6des4ePAgFhYWzJ49m+vXr2slkJ2cnDh8+DCpqakYGxtjaWnJkCFDWLJkCUFBQYSFhWFpacmlS5eIjY1l6dKlWqU1hBDidSL1b4UQQgghhCSEhRCiDMyePZtBgwbRvn17TE1NCQsL48qVK+jr6xfZp2XLltjY2ODm5oatra3WvvHjx6Ojo8OECRO4evUqNjY2DBo0CABDQ0N27NjB8OHD8fb2xtDQkC5dujB79uwXjtvZ2ZlGjRpx+/Zt3njjDa19w4YNIyMjg48++ogbN25Qp04dtmzZgrOzM/B0Je7OnTv56KOP8Pf358mTJ9SpU4cvvvii1PNPmzaNvLw8evfuzb1792jQoAE7duzAwsKi0Pbjxo3jl19+wc/PD0NDQwYOHEjHjh3JyMhQ24SGhhIcHEydOnV4+PAhly9fxsnJicTEREaPHk3r1q3Jzs7G0dGRNm3aUK6cfLlGCCGEEEIIIcTrS6MoilLWQQghxP+6+/fvY2dnx6xZs4pc7ZqVlYWdnR3R0dF07tz5H47wKUVRcHZ2ZvDgwVr1ckVBpX26qxBCCCGEEEII8TKU9vdQWSEshBBl4OTJk/z88880bNiQjIwMJk2aBEBgYGCBtnl5efzxxx/MmjULc3NzOnTo8E+HC8DNmzeJjY3l2rVrWjWMhRBCCCGEEEII8fqQhLAQQpSRyMhIzp8/j66uLvXr12f//v1UrFixQLu0tDSqVatG1apViYmJQUenbP7prly5MhUrVmTx4sVFlmgQQgghhBBCCCHEq00KIf6LxMTEYG5u/kJ9QkJC6Nix498Sz99Fo9GwadOmsg7jHxUREYGHh0dZh/HSvQ7X8vnPSLNmzRgxYkSp+xf1ufT09OT48eNkZWVx+/Ztdu3aRd26dQsdw8nJCUVRuHLlCi1atHjBI3h5FEXh5s2b9OzZs9R9nr/GP//8M2+++Sb6+vpldk8vW7aM1q1bv1CfN998k/Xr1/9NEQkhhBBCCCGEEP8cSQi/IiIiItBoNFovV1fXsg7rf9Y/mai8desWbdq0wdbWFj09Pezt7Rk6dCiZmZkvdZ7U1FQ0Gg1JSUl/eayzZ8/SpUsXnJyc0Gg0zJ07t0Cb/H3Pv4YMGfKX53/WP/1HjQ0bNjB58uR/bL5/m/DwcIyMjDh//jx79uwpVZ+X+QeRR48eMX78eMLDw9VtS5YsoXHjxlhYWGBhYUHLli05cuSIVr9x48YxZswY8vLyXkocQgghhBBCCCFEWZGSEa8QNzc3du/erb4vq6+Fv+5ycnKoUKFCWYdRauXKlSMwMJApU6ZQqVIlLl26xJAhQ7h9+zarVq0q6/AK9eDBA6pXr07Xrl358MMPC21z9OhRcnNz1fdnzpyhVatWdO3a9Z8K829haWlZ1iG81lJSUmjXrh2Ojo5lMv+6deswNTXF19dX3ZaQkEBQUBCNGjVCX1+f6dOn07p1a86ePYudnR0Abdu2pX///mzfvp127dqVSexCCPEyOI3ZWtYh/KukTpP/E4QQQgjx+pEVwq8QHR0drK2t1dfztURnz55N3bp1MTIywt7ensGDB5OVlVXkePmr6hYtWoS9vT2GhoZ069aNjIyMAm0jIyOxsbHBysqKIUOGkJOTo+77+uuvadCgASYmJlhbW9OzZ09u3LhR7LHcunWLoKAg7OzsMDQ0pG7dunz77bdabZo1a8awYcMICwvD0tISa2trIiIitNpcvHiRJk2aoK+vT506ddi1a5fW/vxVr6tXr6Zp06bo6+uzcuVK8vLymDRpElWrVkVPTw8PDw/i4uLUfo8fP2bo0KHY2Nigr6+Po6Mjn332GfB0ZStAp06d0Gg06vuUlBQCAwOpUqUKxsbGeHt7ayXw8/tOnTqVvn37YmJigoODA4sXLy72XFlYWPD+++/ToEEDHB0dadGiBYMHD2b//v0F2pZ0LZcuXUrt2rXR19fH1dWVBQsWqPuqVasGPC1VoNFoaNasGfA0cduqVSsqVqyImZkZTZs25cSJE8XG7O3tzcyZM+nRowd6enqFtqlUqZLW/fz9999To0YNmjZtqtUuPT2dtm3bYmBgQPXq1Vm3bp3W/itXrtCtWzfMzc2xtLQkMDCQ1NRU4Ok9vnz5cjZv3qyuQE5ISABg9OjRuLi4YGhoSPXq1Rk/frzWfV2Y3NxcRo4cibm5OVZWVoSFhaEoilab50tG3Llzhz59+mBhYYGhoSFt27bl4sWLxc7zrPx7eM2aNTRu3BgDAwO8vb25cOECR48epUGDBhgbG9O2bVtu3ryp9ivpHs8fd8OGDbz99tsYGhri7u7OoUOHtOZfv349bm5u6Onp4eTkxKxZs7T2L1iwAGdnZ/T19alSpQrvvPOOus/JyanA6nAPD48Cn+N8Go2G48ePM2nSJDQajdquuGsVExPDxIkTOXXqlHqNY2JiALh79y79+/enUqVKmJqa0rx5c06dOlXs+Y6NjSUgIEBr28qVKxk8eDAeHh64urqydOlS8vLytFYwly9fHn9/f2JjY4sdXwghhBBCCCGEeNVJQvgVcvHiRWxtbalevTq9evUiLS1Na3+5cuWYN28eZ8+eZfny5ezdu5ewsLBix7x06RJr1qzhu+++Iy4ujpMnTzJ48GCtNvHx8aSkpBAfH8/y5cuJiYlREy7wdMXt5MmTOXXqFJs2bSI1NZWQkJBi53306BH169dn69atnDlzhoEDB9K7d+8CX8Nevnw5RkZGHD58mBkzZjBp0iQ16ZuXl0fnzp3R1dXl8OHDfPnll4wePbrQ+caMGcPw4cNJTk7Gz8+PqKgoZs2aRWRkJKdPn8bPz48OHTqoibp58+axZcsW1qxZw/nz51m5cqWa+D169CgA0dHRpKenq++zsrLw9/dnz549nDx5kjZt2hAQEFDgOs2aNYsGDRqo5/r999/n/PnzxZ6vZ129epUNGzYUSJyWdC1XrlzJhAkT+PTTT0lOTmbq1KmMHz+e5cuXA6jnfvfu3aSnp7NhwwYA7t27R3BwMAcOHODHH3/E2dkZf39/7t27V+qYS/L48WO++eYb+vbti0aj0do3fvx4unTpwqlTp+jVqxc9evQgOTkZeHrv+fn5YWJiwv79+0lMTMTY2Jg2bdrw+PFjQkND6datG23atCE9PZ309HQaNWoEgImJCTExMZw7d46oqCiWLFnCnDlzio1z1qxZxMTE8NVXX3HgwAFu377Nxo0bi+0TEhLCsWPH2LJlC4cOHUJRFPz9/UtMPj8vPDyccePGceLECXR0dOjZsydhYWFERUWxf/9+Ll26xIQJE9T2Jd3j+T755BNCQ0NJSkrCxcWFoKAgnjx5AsDx48fp1q0bPXr04KeffiIiIoLx48ern/9jx44xbNgwJk2axPnz54mLi6NJkyYvdFzPSk9Px83NjY8++oj09HRCQ0OB4q9V9+7d+eijj3Bzc1Ovcffu3QHo2rUrN27cYPv27Rw/fhwvLy9atGjB7du3i4zhwIEDNGjQoNg4Hzx4QE5OToHV4A0bNiz0DzVCCCGEEEIIIcTrRGoSvCLeeOMNYmJiqFWrFunp6UycOJHGjRtz5swZTExMALRWJTo5OTFlyhQGDRqktQr0eY8ePWLFihXq154///xz2rVrx6xZs7C2tgaerlCdP38+5cuXx9XVlXbt2rFnzx4GDBgAQN++fdXxqlevzrx58/D29iYrKwtjY+NC57Wzs1OTPQAffPABO3bsYM2aNTRs2FDdXq9ePbWWp7OzM/Pnz2fPnj20atWK3bt38/PPP7Njxw5sbW0BmDp1Km3bti0w34gRI+jcubP6PjIyktGjR9OjRw8Apk+fTnx8PHPnzuWLL74gLS0NZ2dn3nrrLTQajdbX1ytVqgSAubm5eo4A3N3dcXd3V99PnjyZjRs3smXLFoYOHapu9/f3VxO1o0ePZs6cOcTHx1OrVq1Cz1W+oKAgNm/ezMOHDwkICGDp0qVa+0u6luHh4cyaNUs9D9WqVePcuXMsWrSI4OBg9bisrKy0jqt58+Za8yxevBhzc3P27dtH+/bti425tDZt2sTdu3cL/UNC165d6d+/P/D0nO7atYvPP/+cBQsWsHr1avLy8li6dKmaSI6Ojsbc3JyEhARat26NgYEB2dnZWscET2u+5nNyciI0NJTY2Nhi/4gyd+5cxo4dq57DL7/8kh07dhTZ/uLFi2zZsoXExEQ1Eb1y5Urs7e3ZtGnTC5XHCA0Nxc/PD4Dhw4cTFBTEnj171NIG/fr10/pDTUn3+LPj5pc4mDhxIm5ubly6dAlXV1dmz55NixYtGD9+PAAuLi6cO3eOmTNnEhISQlpaGkZGRrRv3x4TExMcHR3x9PQs9TE9z9raGh0dHYyNjbWuV3HXysDAAGNjY/UbFPkOHDjAkSNHuHHjhrpKPTIykk2bNrFu3ToGDhxYYP67d++SkZGh/ntSlNGjR2Nra0vLli21ttva2nLlyhXy8vIoV67g31Ozs7PJzs5W37/sOuBCCCGEEEIIIcTLICuEXxFt27ala9eu1KtXDz8/P7Zt28bdu3dZs2aN2mb37t20aNECOzs7TExM6N27N7du3eLBgwdFjuvg4KAmEAF8fHzIy8vTWrHq5uZG+fLl1fc2NjZaJSGOHz9OQEAADg4OmJiYqCtX81fGurm5YWxsrH6tHZ5+9X7y5MnUrVsXS0tLjI2N2bFjR4HVtPXq1dN6/+zcycnJ2NvbayVvfHx8Cj3OZ1f8ZWZmcvXqVa0aoQC+vr7qytOQkBCSkpKoVasWw4YNY+fOnYWO+6ysrCxCQ0OpXbs25ubmGBsbk5ycXOwxaTQarK2t1WNq27ateq7c3Ny0+s2ZM4cTJ06wefNmUlJSGDlypNb+4q7l/fv3SUlJoV+/fur4xsbGTJkyhZSUlGKP6/r16wwYMABnZ2fMzMwwNTUlKyurwHH9FcuWLaNt27aFJuKev6Y+Pj7qdTp16hSXLl3CxMREPSZLS0sePXpU4nGtXr0aX19frK2tMTY2Zty4ceoxpaWlaZ2nqVOnkpGRQXp6Om+88YY6ho6OTrGrSZOTk9HR0dHqY2VlRa1atdRjKK1n75sqVaoAULduXa1t+fdRae7xwsa1sbEB0PqMFTbGxYsXyc3NpVWrVjg6OlK9enV69+7NypUri/335s8q7loV5dSpU2RlZWFlZaV1LS9fvlzkvfHw4UMA9PX1ixx32rRpxMbGsnHjxgLtDAwMyMvL00r6Puuzzz7DzMxMfdnb2xd7DEIIIYQQQgghRFmQFcKvKHNzc1xcXLh06RLwtB5o+/btef/99/n000+xtLTkwIED9OvXj8ePH2NoaPin53r+AWwajYa8vDwA7t+/j5+fH35+fqxcuZJKlSqRlpaGn58fjx8/BmDbtm3q1+MNDAwAmDlzJlFRUcydO1etezxixAi1T2nmfhFGRkYv1N7Ly4vLly+zfft2du/eTbdu3WjZsmWB+rXPCg0NZdeuXURGRlKzZk0MDAx45513XuiYli5dqialnm+XX2vX1dUVS0tLGjduzPjx49UkXnHya0kvWbJEKzkJaCX7CxMcHMytW7eIiorC0dERPT09fHx8ChzXn/Xrr7+ye/dutUTFi8jKyqJ+/fqsXLmywL78Fc+FOXToEL169WLixIn4+flhZmZGbGysWh/X1taWpKQktf2r8KC4Z++H/NXQz2/7M5+NwsYt7TgmJiacOHGChIQEdu7cyYQJE4iIiODo0aOYm5tTrly5AjWWX7RURknXqihZWVnY2NioNaOfZW5uXmgfKysrNBoNd+7cKXR/ZGQk06ZNY/fu3QX+WAVw+/ZtjIyM1H/nnjd27FitP+RkZmZKUlgIIYQQQgghxCtHEsKvqKysLFJSUujduzfwdJVuXl4es2bNUr+q/Ozq4aKkpaVx9epVdWXmjz/+SLly5UosX5Dv559/5tatW0ybNk1NbBw7dkyrzbPlFvIlJiYSGBjIf//7X+BpAurChQvUqVOnVPMC1K5dmytXrpCenq4mRX/88ccS+5mammJra0tiYqJWHd7ExEStchWmpqZ0796d7t27884779CmTRtu376NpaUlFSpUIDc3t8AxhYSE0KlTJ+DpNcp/uFlpPbvCtzj5CbtnVyIWdy2rVKmCra0tv/zyC7169Sp0TF1dXYBCj2vBggX4+/sDTx/i9scff7zQcRUnOjqaypUrq2ULnvfjjz/Sp08frff5ZQm8vLxYvXo1lStXxtTUtND+urq6BY7p4MGDODo68sknn6jbfv31V/VnHR0datasWWAsGxsbDh8+rNbJffLkiVqbtjC1a9fmyZMnHD58WC0ZcevWLc6fP/9C9/qLKu09XpLatWuTmJiotS0xMREXFxf1Dwk6Ojq0bNmSli1bEh4ejrm5OXv37qVz585UqlSJ9PR0tW9mZiaXL19+oWMp6VpB4dfYy8uLa9euoaOjo9b/Lomuri516tTh3LlztG7dWmvfjBkz+PTTT9mxY0eRq8LPnDlTbMkMPT29Ih+yKIQQQgghhBBCvCokIfyKCA0NJSAgAEdHR65evUp4eDjly5cnKCgIgJo1a5KTk8Pnn39OQEAAiYmJfPnllyWOq6+vT3BwMJGRkWRmZjJs2DC6detWoN5qURwcHNDV1eXzzz9n0KBBnDlzhsmTJ5fYz9nZmXXr1nHw4EEsLCyYPXs2169ff6EkWcuWLXFxcSE4OJiZM2eSmZmplTQqzqhRowgPD6dGjRp4eHgQHR1NUlKSutJ09uzZ2NjY4OnpSbly5Vi7di3W1tbqykInJye1fquenh4WFhY4OzuzYcMGAgIC0Gg0jB8//k+t2Hzetm3buH79Ot7e3hgbG3P27FlGjRqFr6+vVqKrpGs5ceJEhg0bhpmZGW3atCE7O5tjx45x584dRo4cSeXKlTEwMCAuLo6qVauir6+PmZkZzs7OfP311zRo0IDMzExGjRpV5ArIfI8fP+bcuXPqz7///jtJSUkYGxtrJVrz8vKIjo4mODgYHZ3C/7lZu3YtDRo04K233mLlypUcOXKEZcuWAdCrVy9mzpxJYGAgkyZNomrVqvz6669s2LCBsLAwqlatipOTEzt27OD8+fNYWVmpx5SWlkZsbCze3t5s3bq1xIfDwdPavdOmTcPZ2VmtsXv37t0i2zs7OxMYGMiAAQNYtGgRJiYmjBkzBjs7OwIDA0uc768o6R4vjY8++ghvb28mT55M9+7dOXToEPPnz1frkn///ff88ssvNGnSBAsLC7Zt20ZeXp76B6XmzZsTExNDQEAA5ubmTJgwocQV6c8rzbVycnLi8uXLJCUlUbVqVUxMTGjZsiU+Pj507NiRGTNm4OLiwtWrV9m6dSudOnUqMqnr5+fHgQMHtGqyT58+nQkTJrBq1SqcnJy4du0agFqGIt/+/fsLJJKFEOJ1kzqt8D/QCiGEEEKI/yGKeCV0795dsbGxUXR1dRU7Ozule/fuyqVLl7TazJ49W7GxsVEMDAwUPz8/ZcWKFQqg3LlzR1EURYmOjlbMzMzU9uHh4Yq7u7uyYMECxdbWVtHX11feeecd5fbt22qb4OBgJTAwUGue4cOHK02bNlXfr1q1SnFyclL09PQUHx8fZcuWLQqgnDx5ssjjuXXrlhIYGKgYGxsrlStXVsaNG6f06dNHa66mTZsqw4cP1+oXGBioBAcHq+/Pnz+vvPXWW4qurq7i4uKixMXFKYCyceNGRVEU5fLly4XGkpubq0RERCh2dnZKhQoVFHd3d2X79u3q/sWLFyseHh6KkZGRYmpqqrRo0UI5ceKEun/Lli1KzZo1FR0dHcXR0VGd6+2331YMDAwUe3t7Zf78+QWOwdHRUZkzZ45WLO7u7kp4eHiR52rv3r2Kj4+PYmZmpujr6yvOzs7K6NGj1euqKKW7loqiKCtXrlQ8PDwUXV1dxcLCQmnSpImyYcMGdf+SJUsUe3t7pVy5cuo1PnHihNKgQQN17rVr1xY4juDgYK17Iv+8P/96to2iKMqOHTsUQDl//nyhxw4oX3zxhdKqVStFT09PcXJyUlavXq3VJj09XenTp49SsWJFRU9PT6levboyYMAAJSMjQ1EURblx44bSqlUrxdjYWAGU+Ph4RVEUZdSoUYqVlZVibGysdO/eXZkzZ47W56MwOTk5yvDhwxVTU1PF3NxcGTlyZIn37e3bt5XevXsrZmZm6mfzwoUL6v7nP5fPK+wejo+P1/psFzZOSfd4YePeuXNH6xwpiqKsW7dOqVOnjlKhQgXFwcFBmTlzprpv//79StOmTRULCwvFwMBAqVevntb1ycjIULp3766Ympoq9vb2SkxMTIH7/dnPq6IU/nko6Vo9evRI6dKli2Jubq4ASnR0tKIoipKZmal88MEHiq2trVKhQgXF3t5e6dWrl5KWllbk+T579qxiYGCg3L17V93m6OhY6P38bJy//fabUqFCBeXKlStFjv28jIwMBVDvVSGEEEIIIYQQ4u9U2t9DNYryXAFI8a8RERHBpk2btGqlCvFnNG3alLfffpuIiIiyDkWIv6xr1654eXkxduzYUvcZPXo0d+7cYfHixaXuk5mZiZmZGRkZGUWWPBFCCCGEEEIIIV6W0v4eWu4fjEkI8RrKyMggJSWF0NDQsg5FiJdi5syZWqUgSqNy5cqlKpcjhBBCCCGEEEK86qSGsBCiWGZmZvz2229lHYYQL42TkxMffPDBC/X56KOP/qZohBBCCCGEEEKIf5asEP4Xi4iIkHIRRdBoNGzatKmsw3ipmjVrpvWgrNL4J8/D8/E5OTkxd+7cvz2Wf+O1LkpqaioajeYvf+6fvzZCCCGEEEIIIYT495CEsPhXWrhwIfXq1cPU1BRTU1N8fHzYvn37S50jJCSEjh07/uVxEhIS0Gg0hb6OHj361wN9RR09epSBAweWdRhlJj95+/zrxx9/LOvQXqqYmBjMzc3LOowiRURE4OHhUdZhCCGEEEIIIYQQ/xgpGSH+lapWrcq0adNwdnZGURSWL19OYGAgJ0+exM3NrazD09KoUSPS09O1to0fP549e/bQoEGDMorq71epUqWyDgGAnJwcKlSoUGbz7969W+uetLKyKrNYhBBCvBinMVvLOoQXljqtXVmHIIQQQgghypisEBb/SgEBAfj7++Ps7IyLiwuffvopxsbGWqsv09PTadu2LQYGBlSvXp1169ZpjXHlyhW6deuGubk5lpaWBAYGkpqaCjxdVbh8+XI2b96sruxMSEgAYPTo0bi4uGBoaEj16tUZP348OTk5Rcaqq6uLtbW1+rKysmLz5s28++67aDQaAG7dukVQUBB2dnYYGhpSt25dvv3222LPgZOTE5MnTyYoKAgjIyPs7Oz44osvCrT7448/6NSpE4aGhjg7O7NlyxZ1X25uLv369aNatWoYGBhQq1YtoqKiip0X4P79+/Tp0wdjY2NsbGyYNWtWofE9X5agqFgURaFmzZpERkZqtU9KSkKj0XDp0iUALl68SJMmTdDX16dOnTrs2rVLq33+qtzVq1fTtGlT9PX1WblyJXl5eUyaNImqVauip6eHh4cHcXFx6twtW7bEz88PRVEAuH37NlWrVmXChAmljq0oVlZWWte/pOR0Xl4eM2bMoGbNmujp6eHg4MCnn36q1eaXX37h7bffxtDQEHd3dw4dOqS1f/369bi5uaGnp4eTk1Oh1+dZd+/epX///lSqVAlTU1OaN2/OqVOn1P2nTp3i7bffxsTEBFNTU+rXr8+xY8dISEjg3XffJSMjQ/2cREREAJCdnU1oaCh2dnYYGRnxxhtvqJ8h+L+VxTt27KB27doYGxvTpk0brT+eFHfd8hX3eYyJiWHixImcOnVKjS8mJqZUxyyEEEIIIYQQQryuJCEs/vVyc3OJjY3l/v37+Pj4qNvHjx9Ply5dOHXqFL169aJHjx4kJycDT1eN+vn5YWJiwv79+0lMTFQTUo8fPyY0NJRu3bqpCar09HQaNWoEgImJCTExMZw7d46oqCiWLFnCnDlzSh3vli1buHXrFu+++6667dGjR9SvX5+tW7dy5swZBg4cSO/evTly5EixY82cORN3d3dOnjzJmDFjGD58eIEk6cSJE+nWrRunT5/G39+fXr16cfv2beBpwq1q1aqsXbuWc+fOMWHCBD7++GPWrFlT7LyjRo1i3759bN68mZ07d5KQkMCJEydKPPaiYtFoNPTt25fo6Git9tHR0TRp0oSaNWuSl5dH586d0dXV5fDhw3z55ZeMHj260Hnyz0VycjJ+fn5ERUUxa9YsIiMjOX36NH5+fnTo0IGLFy+i0WhYvnw5R48eZd68eQAMGjQIOzs7JkyYUKrYitOhQwcqV67MW2+9pZWML8rYsWOZNm0a48eP59y5c6xatYoqVapotfnkk08IDQ0lKSkJFxcXgoKCePLkCQDHjx+nW7du9OjRg59++omIiAjGjx+vJkIL07VrV27cuMH27ds5fvw4Xl5etGjRQr1PevXqRdWqVTl69CjHjx9nzJgxVKhQgUaNGjF37lxMTU3Vz0loaCgAQ4cO5dChQ8TGxnL69Gm6du1KmzZtuHjxojrvgwcPiIyM5Ouvv+aHH34gLS1N7Q8Ue93yFfd57N69Ox999BFubm5qfN27dy/VMRcmOzubzMxMrZcQQgghhBBCCPGq0Sj5S96E+Jf56aef8PHx4dGjRxgbG7Nq1Sr8/f2Bpw8aGzRoEAsXLlTbv/nmm3h5ebFgwQK++eYbpkyZQnJysrpK9/Hjx5ibm7Np0yZat25NSEgId+/eLfGBZZGRkcTGxnLs2LFSxZ0f47Zt24pt1759e1xdXdWVqc2aNcPDw0Nddevk5ETt2rW1aif36NGDzMxMdWyNRsO4ceOYPHky8HRlr7GxMdu3b6dNmzaFzjt06FCuXbtWYEV1vqysLKysrPjmm2/o2rUr8H8ragcOHKgV34gRI9QHzZUUy9WrV3FwcODgwYM0bNiQnJwcbG1tiYyMJDg4mJ07d9KuXTt+/fVXbG1tAYiLi6Nt27Zs3LiRjh07kpqaSrVq1Zg7dy7Dhw9XY7azs2PIkCF8/PHH6raGDRvi7e2trqpeu3Ytffr0YcSIEXz++eecPHkSZ2dngBJjK8wff/zBihUr8PX1pVy5cqxfv54ZM2awadMmOnToUGife/fuUalSJebPn0///v0L7M8/vqVLl9KvXz8Azp07h5ubG8nJybi6utKrVy9u3rzJzp071X5hYWFs3bqVs2fPFrg2Bw4coF27dty4cQM9PT21T82aNQkLC2PgwIGYmpry+eefF3qsMTExjBgxgrt376rb0tLSqF69Omlpaeq1AmjZsiUNGzZk6tSpxMTE8O6773Lp0iVq1KgBwIIFC5g0aRLXrl0r9XV73vOfx4iICDZt2qT1IL7SHHNhIiIimDhxYoHtGRkZmJqaFtpHCPF6k5IRQgghhBDiVZKZmYmZmVmJv4dKDWHxr1WrVi2SkpLIyMhg3bp1BAcHs2/fPurUqQOgtVo4/31+UujUqVNcunQJExMTrTaPHj0iJSWl2HlXr17NvHnzSElJISsriydPnpQ6GfTbb7+xY8eOAitwc3NzmTp1KmvWrOH333/n8ePHZGdnY2hoWOx4hR3j82Ua6tWrp/5sZGSEqakpN27cULd98cUXfPXVV6SlpfHw4UMeP36sPoRr//79tG3bVm27aNEi/vOf//D48WPeeOMNdbulpSW1atUq8fiLi8XW1pZ27drx1Vdf0bBhQ7777juys7PVpHNycjL29vZaCcbnjz/fs7WZMzMzuXr1Kr6+vlptfH19tUoEdO3alY0bNzJt2jQWLlyoJoNLE5ubmxu//vorAI0bN2b79u1UrFiRkSNHqmN4e3tz9epVZs6cSYcOHQo9t87OzmRnZ9OiRYtSn0cbGxsAbty4gaurK8nJyQQGBhY41rlz55Kbm0v58uW19p06dUpN8j/r4cOH6mdh5MiR9O/fn6+//pqWLVvStWtXNYlbmJ9++onc3FxcXFy0tmdnZ2vNY2hoqDWOjY2Nej+U9rr9mc9jaY65MGPHjtW6ppmZmdjb2xc7lxBCCCGEEEII8U+ThLD419LV1VW/rl+/fn2OHj1KVFQUixYtKrFvVlYW9evXZ+XKlQX2FfcwtEOHDtGrVy8mTpyIn58fZmZmxMbGllijNV90dDRWVlYFVojOnDmTqKgo5s6dS926dTEyMmLEiBE8fvy4VOMW5/matRqNhry8PABiY2MJDQ1l1qxZ+Pj4YGJiwsyZMzl8+DDwNLH67MrKKlWq8Msvv/wtsQD079+f3r17M2fOHKKjo+nevXuJSfHCGBkZvXCfBw8ecPz4ccqXL69VkqA0sW3btk2tW2tgYFDkHG+88YZa0qOwc5tfw7okz57H/BXuz57HF5GVlYWNjY1Wfd985ubmwNOVsT179mTr1q1s376d8PBwYmNj6dSpU5Fjli9fXj2fzzI2Ni70OPKP5UW+1PJnP4+lOebC6Onpaa0oFkIIIYQQQgghXkWSEBb/M/Ly8sjOzlbf//jjj/Tp00frvaenJwBeXl6sXr2aypUrF7maUFdXl9zcXK1tBw8exNHRkU8++UTdlr8ytCSKohAdHU2fPn0KJMISExMJDAzkv//9r3osFy5cUFc7F+XZh+jlv69du3ap4smft1GjRgwePFjd9uwKSQMDgwI1cmvUqEGFChU4fPgwDg4OANy5c4cLFy7QtGnTUs9dGH9/f4yMjFi4cCFxcXH88MMP6r7atWtz5coV0tPT1VWxzx9/YUxNTbG1tSUxMVErvsTERBo2bKi+/+ijjyhXrhzbt2/H39+fdu3a0bx581LF5ujoWKrjS0pKUmMv7Nw6OztjYGDAnj17Ci0ZURq1a9cmMTFRa1tiYiIuLi4FkrPw9LNw7do1dHR0cHJyKnJcFxcXXFxc+PDDDwkKCiI6OppOnToV+jnx9PQkNzeXGzdu0Lhx4z91HKW5bqX5PBYWX2mPWQghhBBCCCGEeB1JQlj8K40dO5a2bdvi4ODAvXv3WLVqFQkJCezYsUNts3btWho0aMBbb73FypUrOXLkCMuWLQOePiRr5syZBAYGMmnSJKpWrcqvv/7Khg0bCAsLo2rVqjg5ObFjxw7Onz+PlZUVZmZmODs7k5aWRmxsLN7e3mzdupWNGzeWKua9e/dy+fLlQhN9zs7OrFu3joMHD2JhYcHs2bO5fv16iQnhxMREZsyYQceOHdm1axdr165l69bS1zt0dnZmxYoV7Nixg2rVqvH1119z9OhRqlWrVmQfY2Nj+vXrx6hRo7CysqJy5cp88sknlCv3159hWb58eUJCQhg7dizOzs5aJSFatmyJi4sLwcHBzJw5k8zMTK1EYHFGjRpFeHg4NWrUwMPDg+joaJKSktQV4lu3buWrr77i0KFDeHl5MWrUKIKDgzl9+jQWFhYlxlaY5cuXo6urq/4RYsOGDXz11VcsXbq0yD76+vqMHj2asLAwdHV18fX15ebNm5w9e1atGVySjz76CG9vbyZPnkz37t05dOgQ8+fPZ8GCBYW2b9myJT4+PnTs2JEZM2bg4uLC1atX2bp1K506dcLNzY1Ro0bxzjvvUK1aNX777TeOHj1Kly5dgKf1iLOystizZw/u7u4YGhri4uJCr1696NOnD7NmzcLT05ObN2+yZ88e6tWrR7t2patvWdJ1K83n0cnJicuXL5OUlETVqlUxMTEp8ZifLTkihPjfJvV4hRBCCCHEa0kR4l+ob9++iqOjo6Krq6tUqlRJadGihbJz5051P6B88cUXSqtWrRQ9PT3FyclJWb16tdYY6enpSp8+fZSKFSsqenp6SvXq1ZUBAwYoGRkZiqIoyo0bN5RWrVopxsbGCqDEx8criqIoo0aNUqysrBRjY2Ole/fuypw5cxQzMzN13MuXL2u1zxcUFKQ0atSo0OO5deuWEhgYqBgbGyuVK1dWxo0bp/Tp00cJDAxU2zRt2lQZPny4+t7R0VGZOHGi0rVrV8XQ0FCxtrZWoqKitMYFlI0bN2ptMzMzU6KjoxVFUZRHjx4pISEhipmZmWJubq68//77ypgxYxR3d/fCT/z/d+/ePeW///2vYmhoqFSpUkWZMWNGofHNmTOn1LHkS0lJUQBlxowZBeY9f/688tZbbym6urqKi4uLEhcXpzVu/rk/efKkVr/c3FwlIiJCsbOzUypUqKC4u7sr27dvVxTl6XWuUqWKMnXqVLX948ePlfr16yvdunUrdWzPi4mJUWrXrq0YGhoqpqamSsOGDZW1a9eW2C83N1eZMmWK4ujoqFSoUEFxcHBQYyvs+O7cuVPgflu3bp1Sp04dtf/MmTO15nj+2mRmZioffPCBYmtrq1SoUEGxt7dXevXqpaSlpSnZ2dlKjx49FHt7e0VXV1extbVVhg4dqjx8+FDtP2jQIMXKykoBlPDwcPUcTpgwQXFyclIqVKig2NjYKJ06dVJOnz6tKIqiREdHa31uFEVRNm7cqDz731Zx1y1fSZ/HR48eKV26dFHMzc0VQL3fijvm0srIyFAA9d8MIYQQQgghhBDi71Ta30M1ivICBRmFEH9ZfHw8nTt35pdfflFXl/4dnJycGDFiBCNGjPjb5igL+/fvp0WLFly5coUqVaqUdThaXuXYxD+vtE93FUIIIYQQQgghXobS/h4qJSOE+Idt27aNjz/++G9NBv8bZWdnc/PmTSIiIujatesrlXB9lWMTQgghhBBCCCGEeNZfL+ophHghM2fOZNSoUWUdxmvn22+/xdHRkbt37zJjxoyyDkfLqxybEEIIIYQQQgghxLMkISzEv1Rqauo/Xi7CycmJuXPnqu81Gg2bNm1S49FoNCQlJQGQkJCARqPh7t27pRo7JCSE3Nxcjh8/jp2dXaFtnp/jn/Luu++yfv36YmN7VTRp0oRVq1aVdRivnD/++IPKlSvz22+/lXUoQgghhBBCCCHE30oSwkL8i/zwww8EBARga2urlYwtzoYNG2jVqhWVKlXC1NQUHx8fduzY8VLiSU9Pp23btoXua9SoEenp6ZiZmb2UuV4H165dY/jw4dSsWRN9fX2qVKmCr68vCxcu5MGDB2o7JycnNBoNGo0GIyMjvLy8WLt2rbo/IiJC3f/sy9XVtdj5t2zZwvXr1+nRo4e6bfHixTRr1gxTU9MiE/QXLlwgMDCQihUrYmpqyltvvUV8fHyxcy1ZsoTGjRtjYWGBhYUFLVu25MiRI4W2ffvtt1m6dCkAw4YNo379+ujp6eHh4VFo+x07dvDmm29iYmJCpUqV6NKlC6mpqUXGkpOTw+jRo6lbty5GRkbY2trSp08frl69qrapWLEiffr0ITw8vNAxmjVrVuzxCiGEEEIIIYQQrwupISzEv8j9+/dxd3enb9++dO7cuVR9fvjhB1q1asXUqVMxNzcnOjqagIAADh8+jKen51+Kx9raush9urq6xe7/t/nll1/w9fXF3NycqVOnUrduXfT09Pjpp59YvHgxdnZ2dOjQQW0/adIkBgwYQGZmJrNmzaJ79+7Y2dnRqFEjANzc3Ni9e7fWHDo6xf+TPm/ePN59913Klfu/vwU+ePCANm3a0KZNG8aOHVtov/bt2+Ps7MzevXsxMDBg7ty5tG/fnpSUlCKvYUJCAkFBQTRq1Ah9fX2mT59O69atOXv2rNYq6tu3b5OYmEhsbKy6rW/fvhw+fJjTp08XGPfy5csEBgYycuRIVq5cSUZGBh9++CGdO3fmxIkThcby4MEDTpw4wfjx43F3d+fOnTsMHz6cDh06cOzYMbXdu+++S/369Zk5cyaWlpYkJiby8OFDWrZsqbbZvXs3hoaG6nUQQoiy4DRm65/umzqt3UuMRAghhBBCvI5khbAQ/yJt27ZlypQpdOrUqdR95s6dS1hYGN7e3jg7OzN16lScnZ357rvviu1348YNAgICMDAwoFq1aqxcubJAm+JWKT9fMiImJgZzc3N27NhB7dq1MTY2pk2bNqSnp6t98vLymDRpElWrVlVXkMbFxRUb55kzZ2jbti3GxsZUqVKF3r1788cff6j7s7OzGTZsGJUrV0ZfX5+33nqLo0ePAqAoCjVr1iQyMlJrzKSkJDQaDZcuXSp27mcNHjwYHR0djh07Rrdu3ahduzbVq1cnMDCQrVu3EhAQoNXexMQEa2trXFxc+OKLLzAwMNC6Jjo6OlhbW2u9KlasWOT8N2/eZO/evQXmGTFiBGPGjOHNN98stN8ff/zBxYsXGTNmDPXq1cPZ2Zlp06bx4MEDzpw5U+R8K1euZPDgwXh4eODq6srSpUvJy8tjz549Wu22bt2Kl5eX+iC+efPmMWTIEKpXr17ouMePHyc3N5cpU6ZQo0YNvLy8CA0NJSkpiZycnEL7mJmZsWvXLrp160atWrV48803mT9/PsePHyctLU1t5+bmhq2tLRs3bgTAwcGBRYsWMXjwYO7du8fgwYNZvHgx9vb2RR63EEIIIYQQQgjxqpOEsBBCS15eHvfu3cPS0rLYdiEhIVy5coX4+HjWrVvHggULuHHjxl+a+8GDB0RGRvL111/zww8/kJaWRmhoqLo/KiqKWbNmERkZyenTp/Hz86NDhw5cvHix0PHu3r1L8+bN8fT05NixY8TFxXH9+nW6deumtgkLC2P9+vUsX76cEydOULNmTfz8/Lh9+zYajYa+ffsSHR2tNW50dDRNmjShZs2apTquW7dusXPnToYMGYKRkVGhbTQaTZH9dXR0qFChAo8fPy7VfIU5cOAAhoaG1K5d+4X6WVlZUatWLVasWMH9+/d58uQJixYtonLlytSvX19t5+TkRERERJHjPHjwgJycnAL31ZYtWwgMDCx1PPXr16dcuXJER0eTm5tLRkYGX3/9NS1btqRChQrA/9WSTkhIKHKcjIwMNBoN5ubmWtsbNmzI/v37AbC3t2ft2rWYmZlx4sQJzM3NWbNmTZEJ4ezsbDIzM7VeQgghhBBCCCHEq0YSwkIILZGRkWRlZWklTZ934cIFtm/fzpIlS3jzzTepX78+y5Yt4+HDh39p7pycHL788ksaNGiAl5cXQ4cO1VpRGhkZyejRo+nRowe1atVi+vTpeHh4aD3I7lnz58/H09OTqVOn4urqiqenJ1999RXx8fFcuHCB+/fvs3DhQmbOnEnbtm2pU6cOS5YswcDAgGXLlgFPE9/nz59X69/m5OSwatUq+vbtW+rjunTpEoqiUKtWLa3tFStWxNjYGGNjY0aPHl1o38ePH/PZZ5+RkZFB8+bN1e0//fST2jf/NWjQoCJj+PXXX6lSpYpWuYjS0Gg07N69m5MnT2JiYoK+vj6zZ88mLi4OCwsLtV2NGjWKXaE8evRobG1ttcovZGdnExcXp1UqoyTVqlVj586dfPzxx+jp6WFubs5vv/3GmjVr1DYVKlSgVq1aGBoaFjrGo0ePGD16NEFBQZiammrts7W15ddffwXg999/p0ePHty9excvLy/u3LlDjx49+P333wsd97PPPsPMzEx9yUpiIYQQQgghhBCvIqkhLIRQrVq1iokTJ7J582YqV64MPP3q/3vvvae22b59O7dv30ZHR0drhairq2uB1ZYvytDQkBo1aqjvbWxs1FXHmZmZXL16FV9fX60+vr6+nDp1qtDxTp06RXx8PMbGxgX2paSk8OjRI3JycrTGrFChAg0bNiQ5ORl4miBs164dX331FQ0bNuS7774jOzubrl27Fjpn27Zt1RWmjo6OnD17tsjjPXLkCHl5efTq1Yvs7GytfaNHj2bcuHE8evQIY2Njpk2bRrt2/1f3sVatWmzZskWrz/PJzWc9fPgQfX39IvcXRVEUhgwZQuXKldm/fz8GBgYsXbqUgIAAjh49io2NDUCBUhDPmjZtGrGxsSQkJGjFsHfvXipXroybm1up47l27RoDBgwgODiYoKAg7t27x4QJE3jnnXfYtWsXGo0GOzs7fv7550L75+Tk0K1bNxRFYeHChQX2GxgYqA/4S01NpX///rRs2ZJmzZqxcOFCdu/eTWpqqlYd5Hxjx45l5MiR6vvMzExJCgshhBBCCCGEeOVIQlgIAUBsbCz9+/dn7dq1Wqs4O3TowBtvvKG+t7OzY+fOnX9LDPlf+c+n0WhQFOVPj5eVlUVAQADTp08vsM/GxoaUlJRSjdO/f3969+7NnDlziI6Opnv37kWuPl26dKm6Ujr/eGrWrIlGo+H8+fNabfPr5BoYGBQYZ9SoUYSEhKi1j58vKaGrq1vqkhXwdDXynTt3St0+3969e/n++++5c+eOmnBesGABu3btYvny5YwZM6bY/pGRkUybNo3du3dTr149rX1btmx5odXBAF988QVmZmbMmDFD3fbNN99gb2/P4cOHi6yFDP+XDP7111/Zu3dvoQn027dvU6lSJYACf3wAtD4bz9PT00NPT+9FDkcIIYQQQgghhPjHSUJYCMG3335L3759iY2N1VqFCk8fbmZiYqK1zdXVlSdPnnD8+HG8vb0BOH/+vPqAuL+Dqakptra2JCYm0rRpU3V7YmIiDRs2LLSPl5cX69evx8nJCR2dgv/c1ahRA11dXRITE3F0dASeJg2PHj3KiBEj1Hb+/v4YGRmxcOFC4uLi+OGHH4qMs7CVo1ZWVrRq1Yr58+fzwQcfFFlH+FkVK1Z8oYRvSTw9Pbl27Rp37tzRKvVQkvzVss+XmihXrhx5eXnF9p0xYwaffvopO3bsoEGDBlr7FEXhu+++45tvvil1LPnxPB9L+fLlAYqNJz8ZfPHiReLj47Gysiq03ZkzZ2jWrFmB7cXVIxZCCCGEEEIIIV4nkhAW4l8kKyuLS5cuqe8vX75MUlISlpaWODg4FNpn1apVBAcHExUVxRtvvMG1a9eAp6tWzczMCu1Tq1Yt2rRpw3vvvcfChQvR0dFhxIgRha50fZlGjRpFeHg4NWrUwMPDg+joaJKSkli5cmWh7YcMGcKSJUsICgoiLCwMS0tLLl26RGxsLEuXLsXIyIj333+fUaNGqedoxowZPHjwgH79+qnjlC9fnpCQEMaOHYuzszM+Pj4vHPuCBQvw9fWlQYMGREREUK9ePcqVK8fRo0f5+eeftcpvlMaTJ0/Ua5VPo9FQpUqVQtt7enpSsWJFEhMTad++vbr92rVrXLt2Tb1vfvrpJ0xMTHBwcMDS0hIfHx8sLCwIDg5mwoQJGBgYsGTJEi5fvqz1x4MWLVrQqVMnhg4dCsD06dOZMGECq1atwsnJSY01v97x8ePHefDgAW+99ZZWnJcuXSIrK4tr167x8OFDkpKSAKhTpw66urq0a9eOOXPmMGnSJLVkxMcff4yjoyOenp7A09q/LVq0YMWKFTRs2JCcnBzeeecdTpw4wffff09ubq4aj6WlJbq6usDTZPPx48eZOnXqC10LIYT4p6VOa1dyIyGEEEIIIYqiCCH+NeLj4xWgwCs4OFhtEx4erjg6OqrvmzZtWmKfwqSnpyvt2rVT9PT0FAcHB2XFihWKo6OjMmfOHLUNoGzcuFFRFEW5fPmyAignT57UivXOnTuKoihKdHS0YmZmpjXHxo0blWf/mcrNzVUiIiIUOzs7pUKFCoq7u7uyfft2df/zcyiKoly4cEHp1KmTYm5urhgYGCiurq7KiBEjlLy8PEVRFOXhw4fKBx98oFSsWFHR09NTfH19lSNHjhQ43pSUFAVQZsyYUWDfs8dZnKtXrypDhw5VqlWrplSoUEExNjZWGjZsqMycOVO5f/++2u758/i88PDwQq+Znp5esfOHhYUpPXr0KNVY0dHRapujR48qrVu3ViwtLRUTExPlzTffVLZt26Y1jqOjoxIeHq71vrBx89uMGzdO6dWrV4EYi7ofL1++rLb59ttvFU9PT8XIyEipVKmS0qFDByU5OVndn38fxMfHa70v7JXfRlEUZdWqVUqtWrWKPYcvIiMjQwGUjIyMlzamEEIIIYQQQghRlNL+HqpRlL9QoFMI8doJDg5Go9EQExNT1qG8Vvbv30+LFi24cuVKkatwX3XXrl3Dzc2NEydOqCUyykq9evUYN24c3bp1K9M4nvXmm28ybNgwevbs+VLGy8zMxMzMjIyMjGIf+CeEEEIIIYQQQrwMpf09VEpGCPE/RFEUEhISOHDgQFmH8trIzs7m5s2bRERE0LVr19c2GQxgbW3NsmXLSEtLK9OE8OPHj+nSpQtt27Ytsxie98cff9C5c2eCgoLKOhQhhBBCCCGEEOJvJSuEhRCiGDExMfTr1w8PDw+2bNlS6EPjhCiMrBAWQgghhBBCCPFPKu3voeWK3COEEIKQkBByc3M5fvz4K5MM1mg0bNq06S+NERISQseOHV9KPMWJiIjAw8Pjb5+nOC/jfAkhhBBCCCGEEP8WkhAWQogXFBISgkajYdq0aVrbN23ahEajKaOoXkxUVJRWHelmzZoxYsSIv33efyoR/az09PRXqjyFEEIIIYQQQghRlqSGsBBC/An6+vpMnz6d9957DwsLi7IO54WZmZmVdQh/u8ePH6Orq4u1tXVZhyKEEK8MpzFbX+p4qdPavdTxhBBCCCHE309WCAshxJ/QsmVLrK2t+eyzz0rdJ798wqJFi7C3t8fQ0JBu3bqRkZGhtjl69CitWrWiYsWKmJmZ0bRpU06cOFHkmKmpqWg0GtasWUPjxo0xMDDA29ubCxcucPToURo0aICxsTFt27bl5s2bar9nV+qGhISwb98+oqKi0Gg0aDQaUlNTAdi3bx8NGzZET08PGxsbxowZw5MnTwBYsWIFVlZWZGdna8XUsWNHevfuXejxL1++nM2bN6vzJCQkADB69GhcXFwwNDSkevXqjB8/npycnELjzTdixAiaNWumvm/WrBlDhw5lxIgRVKxYET8/P0C7ZET++dqwYQNvv/02hoaGuLu7c+jQIa2xDxw4oJ5Pe3t7hg0bxv3794u8DkIIIYQQQgghxOtCEsJCCPEnlC9fnqlTp/L555/z22+/lbrfpUuXWLNmDd999x1xcXGcPHmSwYMHq/vv3btHcHAwBw4c4Mcff8TZ2Rl/f3/u3btX7Ljh4eGMGzeOEydOoKOjQ8+ePQkLCyMqKor9+/dz6dIlJkyYUGjfqKgofHx8GDBgAOnp6aSnp2Nvb8/vv/+Ov78/3t7enDp1ioULF7Js2TKmTJkCQNeuXcnNzWXLli3qWDdu3GDr1q307du3wDyhoaF069aNNm3aqPM0atQIABMTE2JiYjh37hxRUVEsWbKEOXPmlPq85lu+fDm6urokJiby5ZdfFtnuk08+ITQ0lKSkJFxcXAgKClIT3SkpKbRp04YuXbpw+vRpVq9ezYEDBxg6dGixc2dnZ5OZman1EkIIIYQQQgghXjVSMkIIIf6kTp064eHhQXh4OMuWLStVn0ePHrFixQr1AXWff/457dq1Y9asWVhbW9O8eXOt9osXL8bc3Jx9+/bRvn37IscNDQ1VV8QOHz6coKAg9uzZg6+vLwD9+vXTqhn8LDMzM3R1dTE0NNQqr7BgwQLs7e2ZP38+Go0GV1dXrl69yujRo5kwYQIGBgb07NmT6OhounbtCsA333yDg4OD1srdfMbGxhgYGJCdnV2gjMO4cePUn52cnAgNDSU2NpawsLAij7kwzs7OzJgxo8R2oaGhtGv39GvOEydOxM3NjUuXLuHq6spnn31Gr1691JrKzs7OzJs3j6ZNm7Jw4UL09fULHfOzzz5j4sSJLxSvEEIIIYQQQgjxT5MVwkII8RdMnz6d5cuXk5ycrLXd2NhYfQ0aNEjd7uDgoCaDAXx8fMjLy+P8+fMAXL9+nQEDBuDs7IyZmRmmpqZkZWWRlpZWbBz16tVTf65SpQoAdevW1dp248aNFzq25ORkfHx8tB6U5+vrS1ZWlroqesCAAezcuZPff/8dgJiYGPWhey9i9erV+Pr6Ym1tjbGxMePGjSvxmAtTv379UrV79nzZ2NgAqOfn1KlTxMTEaF1DPz8/8vLyuHz5cpFjjh07loyMDPV15cqVF45fCCGEEEIIIYT4u8kKYSGE+AuaNGmCn58fY8eOJSQkRN2elJSk/mxqalrq8YKDg7l16xZRUVE4Ojqip6eHj48Pjx8/LrZfhQoV1J/zk7HPb8vLyyt1HKXl6emJu7s7K1asoHXr1pw9e5atW1/sgUWHDh2iV69eTJw4ET8/P8zMzIiNjWXWrFlqm3LlyqEoila/Z2sM5zMyMirVnIWdr/zzk5WVxXvvvcewYcMK9HNwcChyTD09PfT09Eo1vxBCCCGEEEIIUVYkISyEEH/RtGnT8PDwoFatWuq2mjVrFto2LS2Nq1evYmtrC8CPP/5IuXLl1L6JiYksWLAAf39/AK5cucIff/zxNx8B6Orqkpubq7Wtdu3arF+/HkVR1KRpYmIiJiYmVK1aVW3Xv39/5s6dy++//07Lli2xt7d/oXkOHjyIo6Mjn3zyibrt119/1WpTqVIlzpw5o7UtKSlJK7H7snh5eXHu3Lkir6EQQgghhBBCCPE6k4SwEEL8RXXr1qVXr17MmzevxLb6+voEBwcTGRlJZmYmw4YNo1u3bmpNXWdnZ77++msaNGhAZmYmo0aNwsDA4O8+BJycnDh8+DCpqakYGxtjaWnJ4MGDmTt3Lh988AFDhw7l/PnzhIeHM3LkSMqV+7+KQz179iQ0NJQlS5awYsWKEufZsWMH58+fx8rKCjMzM5ydnUlLSyM2NhZvb2+2bt3Kxo0btfo1b96cmTNnsmLFCnx8fPjmm284c+YMnp6eL/1cjB49mjfffJOhQ4fSv39/jIyMOHfuHLt27WL+/PkvfT4hhPgnpU5rV9YhCCGEEEKIMiY1hIUQ4iWYNGlSqUoy1KxZk86dO+Pv70/r1q2pV68eCxYsUPcvW7aMO3fu4OXlRe/evRk2bBiVK1f+O0MHnj5krXz58tSpU4dKlSqRlpaGnZ0d27Zt48iRI7i7uzNo0CD69eun9QA4ePpQui5dumBsbEzHjh2LnWfAgAHUqlWLBg0aUKlSJRITE+nQoQMffvghQ4cOxcPDg4MHDzJ+/Hitfn5+fowfP56wsDC8vb25d+8effr0edmnAXhaX3jfvn1cuHCBxo0b4+npyYQJE9RV3UIIIYQQQgghxOtMozxflFEIIcTfIiIigk2bNmnVF/63aNGiBW5ubqVaJf2/IjMzEzMzMzIyMl6ojrQQQgghhBBCCPFnlPb3UCkZIYQQ4k+7c+cOCQkJJCQkaK10FkIIIYQQQgghxKtJEsJCCCH+NE9PT+7cucP06dO1HqonhBBCCCGEEEKIV5PUEBbiL9BoNGzatOkvjRESElJi3dWXISIiAg8Pj791jmbNmjFixIhi27yMc/ayODk5MXfuXPX93xHbs3NERET8reUievfuzdSpU0sdz8uQmppKRkYGoaGhL23MsvDHH39QuXJlfvvtt7IORQghhBBCCCGE+FtJQli8tkJCQtBoNEybNk1r+6ZNm9BoNGUU1YuLiooiJiZGfV+apOrrLD09nbZt25Z1GIX6O2I7evQoAwcOfKljFubUqVNs27aNYcOGvVC/xYsX06xZM0xNTdFoNNy9e7dAmwsXLhAYGEjFihUxNTXlrbfeIj4+vthxlyxZQuPGjbGwsMDCwoKWLVty5MiRQtu+/fbbLF26FIBhw4ZRv3599PT0ivwDhqIoREZG4uLigp6eHnZ2dnz66afFxqMoChMmTMDGxgYDAwNatmzJxYsX1f0VK1akT58+hIeHF9q/WbNmxY4vhBBCCCGEEEK8LqRkhHit6evrM336dN577z0sLCzKOpw/xczMrKxD+EdZW1uXdQhF+jtiq1Sp0ksfszCff/45Xbt2xdjY+IX6PXjwgDZt2tCmTRvGjh1baJv27dvj7OzM3r17MTAwYO7cubRv356UlJQiz1lCQgJBQUE0atRI/Zy2bt2as2fPYmdnp7a7ffs2iYmJxMbGqtv69u3L4cOHOX36dKFjDx8+nJ07dxIZGUndunW5ffs2t2/fLvY4Z8yYwbx581i+fDnVqlVj/Pjx+Pn5ce7cOfT19QF49913qV+/PjNnzsTS0pLExEQePnxIy5Yt1XF2796NoaEhjRo1KnY+IYR4mZzGbH1pY6VOa/fSxhJCCCGEEK8nWSEsXmstW7bE2tqazz777IX65ZdPWLRoEfb29hgaGtKtWzcyMjLUNkePHqVVq1ZUrFgRMzMzmjZtyokTJ4ocMzU1FY1Gw5o1a2jcuDEGBgZ4e3tz4cIFjh49SoMGDTA2NqZt27bcvHlT7fdsyYiQkBD27dtHVFQUGo0GjUZDamoqAPv27aNhw4bo6elhY2PDmDFjePLkCQArVqzAysqK7OxsrZg6duxI7969S31e1q1bR926dTEwMMDKyoqWLVty//59rTgnTpxIpUqVMDU1ZdCgQTx+/FhrjLy8PMLCwrC0tMTa2pqIiAit/c+WZcg/Zxs2bODtt9/G0NAQd3d3Dh06pNVnyZIl6nXq1KkTs2fPxtzcXN2fkpJCYGAgVapUwdjYGG9vb3bv3q01xo0bNwgICMDAwIBq1aqxcuXKAsf/fMmIK1eu0K1bN8zNzbG0tCQwMFC9Hs+ek8jISGxsbLCysmLIkCHk5OSobQorS7F06VI6deqEoaEhzs7ObNmyRSuOM2fO0LZtW4yNjalSpQq9e/fmjz/+KBBvvtzcXNatW0dAQMALH/OIESMYM2YMb775ZqFj//HHH1y8eJExY8ZQr149nJ2dmTZtGg8ePODMmTNFxrRy5UoGDx6Mh4cHrq6uLF26lLy8PPbs2aPVbuvWrXh5eVGlShUA5s2bx5AhQ6hevXqh4yYnJ7Nw4UI2b95Mhw4dqFatGvXr16dVq1ZFxqIoCnPnzmXcuHEEBgZSr149VqxYwdWrV7Wut5ubG7a2tmzcuBEABwcHFi1axODBg7l37x6DBw9m8eLF2NvbFzmXEEIIIYQQQgjxqpOEsHitlS9fnqlTp/L555+/cO3PS5cusWbNGr777jvi4uI4efIkgwcPVvffu3eP4OBgDhw4wI8//oizszP+/v7cu3ev2HHDw8MZN24cJ06cQEdHh549exIWFkZUVBT79+/n0qVLTJgwodC+UVFR+Pj4MGDAANLT00lPT8fe3p7ff/8df39/vL29OXXqFAsXLmTZsmVMmTIFgK5du5Kbm6uVWLxx4wZbt26lb9++pTof6enpBAUF0bdvX5KTk0lISKBz584oiqK22bNnj7rv22+/ZcOGDUycOFFrnOXLl2NkZMThw4eZMWMGkyZNYteuXcXO/cknnxAaGkpSUhIuLi4EBQWpye7ExEQGDRrE8OHDSUpKolWrVgXKA2RlZeHv78+ePXs4efIkbdq0ISAggLS0NLVNSEgIV65cIT4+nnXr1rFgwQJu3LhRZEw5OTn4+flhYmLC/v37SUxMxNjYmDZt2mglwePj40lJSSE+Pp7ly5cTExOjVQKkMBMnTqRbt26cPn0af39/evXqpa5wvXv3Ls2bN8fT05Njx44RFxfH9evX6datW5HjnT59moyMDBo0aKC1/UWPuTBWVlbUqlWLFStWcP/+fZ48ecKiRYuoXLky9evXV9s5OTkVSP4/68GDB+Tk5GBpaam1fcuWLQQGBpY6nu+++47q1avz/fffU61aNZycnOjfv7/WCuH8PzQkJCQAcPnyZa5du6a10tfMzIw33nijwB8fGjZsyP79+wGwt7dn7dq1mJmZceLECczNzVmzZk2RCeHs7GwyMzO1XkIIIYQQQgghxKtGEsLitdepUyc8PDyKrP1ZlEePHrFixQo8PDxo0qQJn3/+ObGxsVy7dg2A5s2b89///hdXV1dq167N4sWLefDgAfv27St23NDQUPz8/KhduzbDhw/n+PHjjB8/Hl9fXzw9PenXr1+R9VfNzMzQ1dXF0NAQa2trrK2tKV++PAsWLMDe3p758+fj6uqqrtSdNWsWeXl5GBgY0LNnT6Kjo9WxvvnmGxwcHEpd+zQ9PZ0nT57QuXNnnJycqFu3LoMHD9YqQaCrq8tXX32Fm5sb7dq1Y9KkScybN4+8vDy1Tb169QgPD8fZ2Zk+ffrQoEGDAqtCCztn7dq1w8XFhYkTJ/Lrr79y6dIl4GkphLZt2xIaGoqLiwuDBw8uUOfX3d2d9957j//85z84OzszefJkatSooSbIL1y4wPbt21myZAlvvvkm9evXZ9myZTx8+LDImFavXk1eXh5Lly6lbt261K5dm+joaNLS0tREI4CFhYV6Xdq3b0+7du1KPN6QkBCCgoKoWbMmU6dOJSsrS62vO3/+fDw9PZk6dSqurq54enry1VdfER8fz4ULFwod79dff6V8+fJUrlxZ3fZnjrkwGo2G3bt3c/LkSUxMTNDX12f27NnExcVplWmpUaMGFStWLHKc0aNHY2trq5WUzc7OJi4ujg4dOpQ6nl9++YVff/2VtWvXsmLFCmJiYjh+/DjvvPOO2qZChQrUqlULQ0NDAPUznb8KOV+VKlXUfflsbW359ddfAfj999/p0aMHd+/excvLizt37tCjRw9+//33QmP77LPPMDMzU1+yklgIIYQQQgghxKtIEsLiX2H69OksX76c5OTkAvuMjY3V16BBg9TtDg4OWrVMfXx8yMvL4/z58wBcv36dAQMG4OzsjJmZGaampmRlZWmtOi1MvXr11J/zE1B169bV2vaiqzSTk5Px8fHRelier68vWVlZ6sroAQMGsHPnTjVZFRMToz5473n79+/XOi8rV67E3d2dFi1aULduXbp27cqSJUu4c+eOVj93d3c1yQZPz1lWVhZXrlwp9PgBbGxsSjzeZ/vY2NgAqH3Onz9Pw4YNtdo//z4rK4vQ0FBq166Nubk5xsbGJCcnq9cqOTkZHR0drRWtrq6uWmUnnnfq1CkuXbqEiYmJep4sLS159OgRKSkpajs3NzfKly//p4/XyMgIU1NTtc+pU6eIj4/Xuj6urq4AWvM+6+HDh+jp6Wld6z9zzIVRFIUhQ4ZQuXJl9u/fz5EjR+jYsSMBAQGkp6er7fbs2cPQoUMLHWPatGnExsayceNGtV4vwN69e6lcuTJubm6ljicvL4/s7GxWrFhB48aNadasGcuWLSM+Pl797NrZ2fHzzz8XuE9Kw8DAgAcPHgBPVxr379+fhQsXYmJiwsKFC+nfv79W2ZBnjR07loyMDPX17OdCCCGEEEIIIYR4VchD5cS/QpMmTfDz82Ps2LGEhIRo7UtKSlJ/NjU1LfWYwcHB3Lp1i6ioKBwdHdHT08PHx6dAzdznVahQQf05P0H3/LZnV9S+LJ6enri7u7NixQr14V1btxb+EJoGDRponZcqVapQvnx5du3axcGDB9m5cyeff/45n3zyCYcPH6ZatWqljuPZY4XSHW9h5+xFzlFoaCi7du0iMjKSmjVrYmBgwDvvvFPitSpOVlYW9evXL7Tu7rMPivurx/t8n6ysLAICApg+fXqBfvnJ8udVrFiRBw8e8PjxY3R1dYud+0Xt3buX77//njt37qifnwULFrBr1y6WL1/OmDFjiu0fGRnJtGnT2L17d4E/FmzZsuWFVgfD03Ogo6ODi4uLuq127doApKWlUatWrQJ98h98d/36da1zeP36dTw8PLTa3r59W72+vr6+BcZ6doXz8/T09NDT0yv9wQghhBBCCCGEEGVAEsLiX2PatGl4eHgUSAjVrFmz0PZpaWlcvXoVW1tbAH788UfKlSun9k9MTGTBggX4+/sDTx8wVtyDvV4WXV1dcnNztbbVrl2b9evXoyiKmjBNTEzExMSEqlWrqu369+/P3Llz+f3332nZsmWRX1k3MDAo9LxoNBp8fX3x9fVlwoQJODo6snHjRkaOHAk8Xb368OFDDAwMgKfnzNjY+G/9anytWrU4evSo1rbn3ycmJhISEkKnTp2Ap0nVZ1dxurq68uTJE44fP463tzfwdOXx3bt3i5zXy8uL1atXU7ly5Rf6Q8Jf5eXlxfr163FyckJHp3T/ROcnNc+dO6f+/GeOuTD5q2XLldP+Qkm5cuVKTHzPmDGDTz/9lB07dhSob6woCt999x3ffPPNC8Xj6+vLkydPSElJoUaNGgBqKQ1HR8dC+1SrVg1ra2v27Nmjnp/MzEwOHz7M+++/r9X2zJkzhZZZebZMiBBCCCGEEEII8TqThLD416hbty69evVi3rx5pWqvr69PcHAwkZGRZGZmMmzYMLp166auJnR2dubrr7+mQYMGZGZmMmrUKDUR+ndycnLi8OHDpKamqmUKBg8ezNy5c/nggw8YOnQo58+fJzw8nJEjR2ol6nr27EloaChLlixhxYoVLzTv4cOH2bNnD61bt6Zy5cocPnyYmzdvqqsvAR4/fky/fv0YN24cqamphIeHM3To0ALJwpfpgw8+oEmTJsyePZuAgAD27t3L9u3btcojODs7s2HDBgICAtBoNIwfP14rWVmrVi3atGnDe++9x8KFC9HR0WHEiBHFXs9evXoxc+ZMAgMDmTRpElWrVuXXX39lw4YNhIWFaSXiX6YhQ4awZMkSgoKCCAsLw9LSkkuXLhEbG8vSpUu1ylPkq1SpEl5eXhw4cEBNeJb2mK9du8a1a9fUms0//fQTJiYmODg4YGlpiY+PDxYWFgQHBzNhwgQMDAxYsmQJly9fpl27duo4LVq0oFOnTmrZiOnTpzNhwgRWrVqFk5OTWqs3vwzG8ePHefDgAW+99ZZWPJcuXSIrK4tr167x8OFDdSV7nTp10NXVpWXLlnh5edG3b1/mzp1LXl4eQ4YMoVWrVuqq4d9//50WLVqwYsUKGjZsiEajYcSIEUyZMgVnZ2eqVavG+PHjsbW1pWPHjurcDx484Pjx40ydOvXPX0AhhPgbpE5rV3IjIYQQQgghSklqCIt/lUmTJpW61EDNmjXp3Lkz/v7+tG7dmnr16rFgwQJ1/7Jly7hz5w5eXl707t2bYcOGaT206+8SGhpK+fLlqVOnDpUqVSItLQ07Ozu2bdvGkSNHcHd3Z9CgQWpi9llmZmZ06dIFY2NjrURXaZiamvLDDz/g7++Pi4sL48aNY9asWVoPcGvRogXOzs40adKE7t2706FDByIiIl7CURfN19eXL7/8ktmzZ+Pu7k5cXBwffvihVi3a2bNnY2FhQaNGjQgICMDPzw8vLy+tcaKjo7G1taVp06Z07tyZgQMHFns9DQ0N+eGHH3BwcKBz587Url2bfv368ejRo791xbCtrS2JiYnk5ubSunVr6taty4gRIzA3Ny828d6/f/8C5S1Kc8xffvklnp6eDBgwAHhafsXT01N9IF/FihWJi4sjKyuL5s2b06BBAw4cOMDmzZtxd3dXx0lJSdFaQb9w4UIeP37MO++8g42NjfqKjIwEYPPmzfj7+xdYBd2/f388PT1ZtGgRFy5cwNPTE09PT65evQo8XZn83XffUbFiRZo0aUK7du2oXbs2sbGx6hg5OTmcP39eXd0MEBYWxgcffMDAgQPx9vYmKyuLuLg4rfto8+bNODg40Lhx42KukBBCCCGEEEII8XrTKIqilHUQQvzTIiIi2LRpk1Yd3X+LFi1a4ObmVuqV0qUVEhLC3bt32bRp00sd988YMGAAP//8M/v37y/rUF4ZDx8+pFatWqxevRofH5+yDqdE9erVY9y4cXTr1q2sQ1G9+eabDBs2jJ49e76U8TIzMzEzMyMjI+MfLTsihBBCCCGEEOJ/U2l/D5WSEUL8S9y5c4eEhAQSEhK0Vjr/G0RGRtKqVSuMjIzYvn07y5cv/9cd419lYGDAihUr/pE613/V48eP6dKli9bq87L2xx9/0LlzZ4KCgso6FCGEEEIIIYQQ4m8lCWEh/iU8PT25c+cO06dPL/BgvdfdkSNHmDFjBvfu3aN69erMmzeP/v37l3VYr5zCHob2KtLV1SU8PLysw9BSsWJFwsLCyjoMIYQQQgghhBDibyclI4QQr4xmzZrh4eHB3LlzyzqUly4hIYG3336bO3fuYG5uXtbh/G0eP35MnTp1WLFiBY0aNSrrcF6KHj164O3tzUcfffRC/aRkhBBCCCGEEEKIf5KUjBBCiL/Zi9SibtSoEenp6ZiZmf39gb0gjUbDxo0bX/hBhIX58ssvqVatmpoMTk1NZfLkyezdu5dr165ha2vLf//7Xz755BN0dXWBp8nyOXPmcOTIETIzM3F2dmbUqFH06tWr2Lnee+89du/ezdWrVzE2NqZRo0ZMnz4dV1fXUsd74MABRo8ezc8//8yDBw9wdHTkvffe48MPP1TbjBs3jiZNmtC/f/9X8voJIcSLcBqztaxDIHVau7IOQQghhBDif1rRj6wXQgjxUuTk5KCrq4u1tTUajaasw/nbKIrC/Pnz6devn7rt559/Ji8vj0WLFnH27FnmzJnDl19+yccff6y2OXjwIPXq1WP9+vWcPn2ad999lz59+vD9998XO1/9+vWJjo4mOTmZHTt2oCgKrVu3Jjc3t9QxGxkZMXToUH744QeSk5MZN24c48aNY/HixWqb//znP9SoUYNvvvnmBc6GEEIIIYQQQgjxapKEsBCiTNy/f58+ffpgbGyMjY0Ns2bNKtDmzp079OnTBwsLCwwNDWnbti0XL17UapOYmEizZs0wNDTEwsICPz8/7ty5A0B2djbDhg2jcuXK6Ovr89Zbb3H06FGt8Xv16kWlSpUwMDDA2dmZ6Ohodf/o0aNxcXHB0NCQ6tWrM378eHJycgCIiYlh4sSJnDp1Co1Gg0ajISYmBni64nbhwoV06NABIyMjPv30UxISEtBoNNy9e1cd/8CBAzRu3BgDAwPs7e0ZNmwY9+/fV/c7OTkxdepU+vbti4mJCQ4ODlqJSoCffvqJ5s2bY2BggJWVFQMHDiQrK0vdf/ToUVq1akXFihUxMzOjadOmnDhxQmsOgE6dOqHRaNT3AJs3b8bLywt9fX2qV6/OxIkTefLkSZHX9Pjx46SkpNCu3f+t/GrTpg3R0dG0bt2a6tWr06FDB0JDQ9mwYYPa5uOPP2by5Mk0atSIGjVqMHz4cNq0aaPVpjADBw6kSZMmODk54eXlxZQpU7hy5QqpqakA6jnfs2cPDRo0wNDQkEaNGnH+/Hl1DE9PT4KCgnBzc8PJyYn//ve/+Pn5sX//fq25AgICiI2NLTYeIYQQQgghhBDidSAJYSFEmRg1ahT79u1j8+bN7Ny5k4SEBK1EJUBISAjHjh1jy5YtHDp0CEVR8Pf3V5OySUlJtGjRgjp16nDo0CEOHDhAQECAukI0LCyM9evXs3z5ck6cOEHNmjXx8/Pj9u3bAIwfP55z586xfft2kpOTWbhwIRUrVlTnNzExISYmhnPnzhEVFcWSJUuYM2cOAN27d+ejjz7Czc2N9PR00tPT6d69u9o3IiKCTp068dNPP9G3b98Cx5+SkkKbNm3o0qULp0+fZvXq1Rw4cIChQ4dqtZs1axYNGjTg5MmTDB48mPfff19NaN6/fx8/Pz8sLCw4evQoa9euZffu3Vpj3Lt3j+DgYA4cOMCPP/6Is7Mz/v7+3Lt3D0BNkEdHR5Oenq6+379/P3369GH48OGcO3eORYsWERMTw6efflrkNd2/fz8uLi6YmJgU2QYgIyMDS0vLF2qTn9zNT/Y+7/79+0RHR1OtWjXs7e219n3yySfMmjWLY8eOoaOjU+j1yHfy5EkOHjxI06ZNtbY3bNiQI0eOkJ2dXWTf7OxsMjMztV5CCCGEEEIIIcSrRh4qJ4T4x2VlZWFlZcU333xD165dAbh9+zZVq1Zl4MCBzJ07l4sXL+Li4kJiYqJaj/bWrVvY29uzfPlyunbtSs+ePUlLS+PAgQMF5rh//z4WFhbExMTQs2dP4GnpBicnJ0aMGMGoUaPo0KEDFStW5KuvvipV3JGRkcTGxnLs2DGg6BrCGo2GESNGqMljKPhQuf79+1O+fHkWLVqktjlw4ABNmzbl/v376Ovr4+TkROPGjfn666+BpyUZrK2tmThxIoMGDWLJkiWMHj2aK1euYGRkBMC2bdsICAjg6tWrVKlSpcAx5OXlYW5uzqpVq2jfvr0a7/M1hFu2bEmLFi0YO3asuu2bb74hLCyMq1evFnp+RowYwU8//cSePXuKPIeXLl2ifv36REZGMmDAgELbrFmzht69e3PixAnc3NwAOHLkCH369GHPnj3Y2dmpbRcsWEBYWBj379+nVq1abN26lRo1amid8927d9OiRQv1/LRr146HDx+ir6+vjlO1alVu3rzJkydPiIiIYPz48VoxnT59Gnd3d1JTU3F0dCw07oiICCZOnFhguzxUTgjxKpEawkIIIYQQ/16lfaicrBAWQvzjUlJSePz4MW+88Ya6zdLSklq1aqnvk5OT0dHR0WpjZWVFrVq1SE5OBv5vhXBRc+Tk5ODr66tuq1ChAg0bNlT7v//++8TGxuLh4UFYWBgHDx7UGmP16tX4+vpibW2NsbEx48aNIy0trVTH2KBBg2L3nzp1ipiYGIyNjdWXn58feXl5XL58WW1Xr1499WeNRoO1tTU3btwAnp4jd3d3NRkM4OvrS15enrqK+Pr16wwYMABnZ2fMzMwwNTUlKyurxOM4deoUkyZN0opvwIABpKen8+DBg0L7PJ9kfd7vv/9OmzZt6Nq1a5HJ4Pj4eN59912WLFmiJoPh6Qrdn3/+WSsZDNCrVy9OnjzJvn37cHFxoVu3bjx69EirzbPn0MbGBkA9h/n279/PsWPH+PLLL5k7dy7ffvut1n4DAwOAIo8dYOzYsWRkZKivK1euFNlWCCGEEEIIIYQoKzplHYAQQvxZ+Um6P6tt27b8+uuvbNu2jV27dtGiRQuGDBlCZGQkhw4dolevXkycOBE/Pz/MzMyIjY0ttNZxYZ5N0hYmKyuL9957j2HDhhXY5+DgoP5coUIFrX0ajYb/x959R0V1dQ8f/w5K7ygIKkUBEY0iWCL2FsEWW+xBULDEIJZYn9h7jxqjsQXQaDSJJcYaJWqURMUCRiWoRMQo0dioigj3/cOX+3OkCEZFn2d/1pq1nHvPPWefMwMu9pzZNycnp0gxAPj7+3Pnzh2WLFmCo6Mj+vr6eHt78+jRo+fGN3XqVLp06ZLnXEFJ37Jly/L777/ne+7GjRs0b96cBg0a5KmDnOvw4cN06NCBzz77jL59+z5nZk+Ym5tjbm6Oq6sr9evXx9LSkm3bttGrVy+1zdNrmHtTv2fXsFKlSgDUqFGDmzdvMmXKFK0+csuMWFtbFxiLvr4++vr6RYpbCCGEEEIIIYQoKZIQFkK8ds7Ozujq6nL8+HE1+Xnv3j0uXryo1m51d3fn8ePHHD9+XKtkRFxcHNWqVQOe7PyMiIjI92v6zs7O6OnpERkZqX7FPysri6ioKIYPH662s7a2xt/fH39/fxo3bszo0aNZsGABv/76K46Ojnz66adq26tXr2qNoaenp9YrLi4vLy8uXLiAi4vLC10PT9YoLCyM9PR0NQEdGRmJjo6Outs6MjKS5cuX07ZtWwCuXbvG7du3tfrR1dXNMw8vLy/i4uKKFZ+npycrVqxAURQ18QpPdgY3b96c2rVrExoaio5O3i+nHDp0iPbt2zN37lwGDhxY5DGfpigKiqIUWue3KHJycvL0ce7cOSpWrKhVY1oIId5GUq5BCCGEEEJIyQghxGtnYmJCYGAgo0eP5ueff+bcuXMEBARoJQpdXV3p2LEjAwYM4OjRo8TExPDhhx9SoUIFOnbsCDz5in5UVBRDhgzh7Nmz/PHHH6xYsYLbt29jbGzMRx99xOjRo9m7dy8XLlxgwIABZGRkEBgYCMCkSZP44YcfuHz5MufPn2fnzp24u7ur4ycmJrJp0ybi4+NZunQp27Zt05qHk5MTV65cITo6mtu3bxcrETl27Fh+/fVXgoODiY6O5tKlS/zwww95bipXmD59+mBgYIC/vz/nzp3j4MGDDB06FD8/P7V+sKurK+vXryc2Npbjx4/Tp0+fPDurnZyciIiI4O+//+bevXvq2qxbt46pU6dy/vx5YmNj2bRpExMmTCgwnubNm5OWlsb58+fVY9evX6dZs2Y4ODiwYMEC/vnnH/7++2/+/vtvtc3Bgwdp164dISEhdO3aVT2fuysXntQQrlq1KtevXwfgzz//ZPbs2Zw6dYrExER+/fVXunXrhqGhoZr8LoovvviCH3/8kUuXLnHp0iXWrl3LggUL+PDDD7XaHTlyhNatWxe5XyGEEEIIIYQQ4k0lCWEhRImYP38+jRs3pkOHDrRq1YpGjRpRu3ZtrTahoaHUrl2b9u3b4+3tjaIo7N69Wy0BUKVKFX766SdiYmKoV68e3t7e/PDDD5Qu/eTLD3PmzKFr1674+fnh5eXF5cuX2bdvH5aWlsCTHb7jx4+nZs2aNGnShFKlSrFp0yYA3n//fUaMGEFwcDC1atXi119/zXOjsa5du+Lr60vz5s2xtrbOU3e2MDVr1uTw4cNcvHiRxo0b4+npyaRJkyhfvnyR+zAyMmLfvn3cvXuXunXr8sEHH9CyZUuWLVumtlm7di337t3Dy8sLPz8/QkJCsLGx0epn4cKF7N+/H3t7ezw9PQHw8fFh586d/PTTT9StW5f69evz2WefFXhDNXhS47lz585s2LBBPbZ//34uX75MREQEFStWxM7OTn3kCg8PJyMjg9mzZ2udf7pcRUZGBnFxcWRlZQFPylYcOXKEtm3b4uLiQo8ePTA1NeXXX3/NM7/C5OTkMH78eGrVqkWdOnX44osvmDt3LtOmTVPbPHz4kO3btxdY91gIIYQQQgghhHibaBRFUUo6CCGEEP8dzp49y3vvvUd8fDwmJiYlHc5LsWLFCrZt28ZPP/1UrOuKendXIYQQQgghhBDiZSjq36GyQ1gIIcRLU7NmTebOncuVK1dKOpSXRldXl88//7ykwxBCCCGEEEIIIV4KSQi/BcLCwrCwsCjWNQEBAXTq1OmVxCMKFxcXh62tLampqUW+plmzZlo3OisKjUbD9u3bixfca1SS78Hbt29jY2PDX3/99VrGc3JyYvHixa9lrBc1ZcoUatWqpT4v7utz6NAhNBoN9+/ff27bgIAAatSoAWi/TxMSEtBoNERHRxc98ELk97tx1apV2Nvbo6Oj89Jek6CgIPUmfUIIIYQQQgghxNtOEsKv2JQpU9BoNFqPqlWrlnRY4gVs3bqVOnXqYGFhgbGxMbVq1WL9+vV52o0fP56hQ4diampaAlH+dylOEvJpZcuWpW/fvkyePPm5/Xfs2BE7Ozv1NX26/m2u7777jqpVq2JgYECNGjXYvXt3seIpimcTtq/akiVLCAsLe23jAdjb25OUlMQ777zzSvpPSUkhODiYsWPHcv36dQYOHFik696GhL4QQgghhBBCCPGylC7pAP4XVK9enQMHDqjPc2949b/i0aNH6OnplXQY/5qVlRWffvopVatWRU9Pj507d9KvXz9sbGzw8fEBIDExkZ07d/5Pfb38TX19+/XrR+3atZk/fz5WVlb5tvn111+pWbMmY8eOpVy5cuzcuZO+fftibm5O+/bt1Ta9evVi9uzZtG/fno0bN9KpUydOnz79yhKbr4O5uflrH7NUqVLY2tq+sv4TExPJysqiXbt2WjetE0II8X+cxu0q6RD+5yTMaVfSIQghhBBCaJEdwq9B6dKlsbW1VR9ly5bVOr9o0SJq1KiBsbEx9vb2DBkyhLS0tAL7y91JuHLlSuzt7TEyMqJ79+4kJyfnabtgwQLs7OwoU6YMH3/8MVlZWeq59evXU6dOHUxNTbG1taV3797cunWr0LnkfkV7+/btuLq6YmBggI+PD9euXcsT35o1a6hUqRIGBgYA3L9/n6CgIKytrTEzM6NFixbExMRo9T9jxgxsbGwwNTUlKCiIcePG5fs1938zr9xdpxEREdSpUwcjIyMaNGhAXFxcoXNv1qwZnTt3xt3dHWdnZ4YNG0bNmjU5evSo2ubbb7/Fw8ODChUqqMfu3LlDr169qFChAkZGRtSoUYNvvvmm0LGcnJyYPn06vXr1wtjYmAoVKvDFF1/kaXf79m06d+6MkZERrq6u7NixQz2XnZ1NYGAglSpVwtDQEDc3N5YsWVLouACHDx+mXr166OvrY2dnx7hx43j8+LHWOgQHBzN8+HDKli2rJsMLMnXqVPU1Hzx4MI8ePVLP5eTkMHv2bDVGDw8Pvv/+e+BJeYHmzZsDYGlpiUajISAgAIC9e/fSqFEjLCwsKFOmDO3btyc+Pl5r3OrVq1O+fHm2bdtWYGz/+c9/mD59Og0aNFBfU19fX7Zu3aq2WbJkCb6+vowePRp3d3emT5+Ol5cXy5Yt0+orNTW10NersPd/WFgYU6dOJSYmRv0mQe7u3eL+fsg1Z84cypUrh6mpKYGBgTx8+FDr/LMlIzIzMwkJCcHGxgYDAwMaNWpEVFTUc8d52qVLl2jSpAkGBgZUq1aN/fv3a51/tmTEvXv36NOnD9bW1hgaGuLq6kpoaCiQ/+7w6OhoNBoNCQkJecYOCwtTy1RUrlxZbRcfH0/Hjh0pV64cJiYm1K1bV+sDumbNmnH16lVGjBihrn2uo0eP0rhxYwwNDbG3tyckJIT09PRirYkQQgghhBBCCPGmkYTwa3Dp0iXKly9P5cqV6dOnD4mJiVrndXR0WLp0KefPnyc8PJyff/6ZMWPGFNrn5cuX+fbbb/nxxx/Zu3cvZ86cYciQIVptDh48SHx8PAcPHiQ8PJywsDCtr4hnZWUxffp0YmJi2L59OwkJCWrCrTAZGRnMnDmTdevWERkZyf379+nZs2ee+LZs2cLWrVvV5E+3bt24desWe/bs4dSpU3h5edGyZUvu3r0LwIYNG5g5cyZz587l1KlTODg4sGLFijzjv6x5ffrppyxcuJCTJ09SunRp+vfv/9y551IUhYiICOLi4mjSpIl6/MiRI9SpU0er7cOHD6lduza7du3i3LlzDBw4ED8/P06cOFHoGPPnz8fDw4MzZ84wbtw4hg0blifBNnXqVLp3787Zs2dp27Ytffr0UdczJyeHihUr8t1333HhwgUmTZrEf/7zH7799tsCx7x+/Tpt27albt26xMTEsGLFCtauXcuMGTO02oWHh6Onp0dkZCRffvllgf1FREQQGxvLoUOH+Oabb9i6dStTp05Vz8+ePZt169bx5Zdfcv78eUaMGMGHH37I4cOHsbe3Z8uWLcCTusxJSUlqQjs9PZ2RI0dy8uRJIiIi0NHRoXPnzuTk5GiNX69ePY4cOVLoOj8rOTlZa0fxb7/9RqtWrbTa+Pj48Ntvv2kde97rVdj7v0ePHnzyySdUr16dpKQkkpKS6NGjB/Bivx++/fZbpkyZwqxZszh58iR2dnYsX7680GvGjBnDli1bCA8P5/Tp07i4uODj46O+n54nJyeHLl26oKenx/Hjx/nyyy8ZO3ZsoddMnDiRCxcusGfPHmJjY1mxYkWeD8yKqkePHmqi98SJEyQlJWFvb09aWhpt27YlIiKCM2fO4OvrS4cOHdTfw1u3bqVixYpMmzZNXXuA+Ph4fH196dq1K2fPnmXz5s0cPXqU4ODgF4pPCCGEEEIIIYR4U2gURVFKOoj/Znv27CEtLQ03NzeSkpKYOnUq169f59y5cwXWmP3+++8ZPHgwt2/fBp7sfBs+fLi6U27KlCnMmDGDq1evqjtR9+7dS7t27bh+/Tq2trYEBARw6NAh4uPjKVWqFADdu3dHR0eHTZs25TvuyZMnqVu3LqmpqZiYmOTbJiwsjH79+nHs2DHeffddAP744w/c3d05fvw49erVUxNR169fx9raGniy065du3bcunULfX19tT8XFxfGjBnDwIEDqV+/PnXq1NHaedmoUSPS0tLUpPLLmNehQ4do3rw5Bw4coGXLlgDs3r2bdu3a8eDBA3VHc36Sk5OpUKECmZmZlCpViuXLl2slkmvVqkXXrl2ZOHFigX0AtG/fnqpVq7JgwQLgyS7FWrVqqXVMnZyccHd3Z8+ePeo1PXv2JCUlRa1fq9FomDBhAtOnTweeJElNTEzYs2cPvr6++Y4bHBzM33//re7Cfdann37Kli1biI2NVXdKLl++nLFjx5KcnIyOjg7NmjUjJSWF06dPFzrHgIAAfvzxR65du4aRkREAX375JaNHjyY5OZmsrCysrKw4cOAA3t7e6nVBQUFkZGSwceNG9bW6d+9eoTdWvH37NtbW1vz+++9aZRxGjhzJmTNnOHjwYKGx5vr222/x8/Pj9OnTVK9eHQA9PT3Cw8Pp1auX2m758uVMnTqVmzdvAs9/vYry/p8yZQrbt29/7g3Xnv39kJ8GDRrg6emptUu5fv36PHz4UOtn6f79+2zfvp309HQsLS0JCwujd+/ewJMPVpycnBg+fDijR49+7mvx008/0a5dO65evUr58uWBJ7+X2rRpw7Zt2+jUqRMJCQlUqlSJM2fOUKtWLd5//33Kli3LV199lae//MaLjo7G09OTK1eu4OTklOd347PnC/LOO+8wePBgNbmbO8+nb+wYFBREqVKlWLlypXrs6NGjNG3alPT09Hx/T2RmZpKZmak+T0lJwd7enuTkZMzMzAqMRwghXicpGfH6SckIIYQQQrwuKSkpmJubP/fvUNkh/Iq1adOGbt26UbNmTXx8fNi9ezf379/X2qWZm5isUKECpqam+Pn5cefOHTIyMgrs18HBQassgbe3Nzk5OVplD6pXr64mTQHs7Oy0SiecOnWKDh064ODggKmpKU2bNgVQd85Vr14dExMTTExMaNOmjXpd6dKlqVu3rvq8atWqWFhYEBsbqx5zdHRUk8EAMTExpKWlUaZMGbVPExMTrly5on7VPy4ujnr16mnN89nnL2NeuWrWrKnVB8CtW7dITEzUinHWrFlqO1NTU6Kjo4mKimLmzJmMHDmSQ4cOqefzSyhnZ2czffp0atSogZWVFSYmJuzbty9PPM96Okma+/zpNX52DsbGxpiZmWmtxRdffEHt2rWxtrbGxMSEVatWFTpubGws3t7eWl+bb9iwIWlpafz111/qsdq1axcaey4PDw81GZw7h7S0NK5du8bly5fJyMjgvffe01rvdevW5Sn/8KxLly7Rq1cvKleujJmZmZr8e3ZuhoaGhf4cPe3gwYP069eP1atXq8ng4ijs9SrK+78gz/v98HR/gwcPBp68jrkf2BQU39Pi4+PJysqiYcOG6jFdXV3q1auX5z1XkNjYWOzt7dVk8PPGBPjoo4/YtGkTtWrVYsyYMfz6669FGqs40tLSGDVqFO7u7lhYWGBiYkJsbOxzf/5iYmIICwvTWl8fHx9ycnK4cuVKvtfMnj0bc3Nz9WFvb//S5yOEEEIIIYQQQvxb/1t3N3sDWFhYUKVKFS5fvgw8qanZvn17PvroI2bOnImVlRVHjx4lMDCQR48eaSXTiktXV1fruUajUb9Sn56ejo+PDz4+PmzYsAFra2sSExPx8fFRa7zu3r1brc1raGhYrLGNjY21nqelpWFnZ6eVPM1V2M7P/PzbeeXXT24CNLfMwtO7NJ8uH6Cjo4OLiwvwZDdwbGwss2fPplmzZgCULVuWe/fuaY0zf/58lixZwuLFi9VasMOHD88Tz4sobC02bdrEqFGjWLhwId7e3piamjJ//nyOHz/+r8d99vV9Ebl1cHft2qX14QagtYs2Px06dMDR0ZHVq1dTvnx5cnJyeOedd/Ks6d27d7U+mCjI4cOH6dChA5999hl9+/bVOmdra6vuBM518+bNYt0c7UXf/0X5/fD0e/Vt24Xapk0brl69yu7du9m/fz8tW7bk448/ZsGCBejoPPm88ukvsTxdK7yoRo0axf79+1mwYAEuLi4YGhrywQcfPPfnLy0tjUGDBhESEpLnnIODQ77XjB8/npEjR6rPc3cICyGEEEIIIYQQbxJJCL9maWlpxMfH4+fnBzzZzZqTk8PChQvVBEhhNV5zJSYmcuPGDXU33rFjx9DR0cHNza1Icfzxxx/cuXOHOXPmqAmLkydParVxdHTM99rHjx9z8uRJdfduXFwc9+/fx93dvcDxvLy8+PvvvyldunSBX+V2c3MjKipKKyFX3JtaFWVez1O6dGk16fs8OTk5Wl8R9/T05MKFC1ptIiMj6dixIx9++KF6zcWLF6lWrVqhfR87dizP88LW+FmRkZE0aNBAq7b083ajuru7s2XLFhRFUZPkkZGRmJqaUrFixSKPnSsmJoYHDx6oHygcO3YMExMT7O3tsbKyQl9fn8TERHUX97P09PSAJ7usc925c4e4uDhWr15N48aNAbRu7Pe0c+fOqcn6ghw6dIj27dszd+5cBg4cmOe8t7c3ERERWuUE9u/fn2f3a2GvV1He/3p6elrzhKL9fsjvvZpbwuXpn6Vn43uas7OzWhM69+c+KyuLqKgorXkXxt3dnWvXrpGUlKTuuC9szFzW1tb4+/vj7+9P48aNGT16NAsWLFAT+UlJSVhaWgI8t5xGfiIjIwkICKBz587Ak9/Bz96ULr+19/Ly4sKFC0X+XQBPPsh43ocZQgghhBBCCCFESZOE8Cs2atQodTfjjRs3mDx5MqVKlVLrkbq4uJCVlcXnn39Ohw4dnnuTrlwGBgb4+/uzYMECUlJSCAkJoXv37kXetejg4ICenh6ff/45gwcP5ty5c2ot2ufR1dVl6NChLF26lNKlSxMcHEz9+vXzLe+Qq1WrVnh7e9OpUyfmzZtHlSpVuHHjBrt27aJz587UqVOHoUOHMmDAAOrUqUODBg3YvHkzZ8+epXLlykWK69/O63lmz55NnTp1cHZ2JjMzk927d7N+/XqtG9/5+PgQFBREdna2WtbC1dWV77//nl9//RVLS0sWLVrEzZs3n5sQjoyMZN68eXTq1In9+/fz3XffsWtX0ev+ubq6sm7dOvbt20elSpVYv349UVFRVKpUqcBrhgwZwuLFixk6dCjBwcHExcUxefJkRo4cqSYki+PRo0cEBgYyYcIEEhISmDx5MsHBwejo6GBqasqoUaMYMWIEOTk5NGrUiOTkZCIjIzEzM8Pf3x9HR0c0Gg07d+6kbdu2GBoaYmlpSZkyZVi1ahV2dnYkJiYybty4PGNnZGRw6tQprZIfzzp48CDt27dn2LBhdO3alb///ht4kiDM3Rk+bNgwmjZtysKFC2nXrh2bNm3i5MmTrFq1Squvwl6vorz/nZycuHLlCtHR0VSsWBFTU9MX/v0wbNgwAgICqFOnDg0bNmTDhg2cP3++wJ8lY2NjPvroI0aPHo2VlRUODg7MmzePjIwMAgMDnzte7hyrVKmCv78/8+fPJyUlhU8//bTQayZNmkTt2rWpXr06mZmZ7Ny5U02iu7i4YG9vz5QpU5g5cyYXL15k4cKFRYrlaa6urmzdupUOHTqg0WiYOHFinpsPOjk58csvv9CzZ0/09fUpW7YsY8eOpX79+gQHBxMUFISxsTEXLlxg//79WnXOhRDibSP1bIUQQgghhNQQfsX++usvevXqhZubG927d6dMmTIcO3ZM3f3m4eHBokWLmDt3Lu+88w4bNmxg9uzZz+3XxcWFLl260LZtW1q3bk3NmjVZvnx5keOytrYmLCyM7777jmrVqjFnzhz1BmfPY2RkxNixY+nduzcNGzbExMSEzZs3F3qNRqNh9+7dNGnShH79+lGlShV69uzJ1atXKVeuHAB9+vRh/PjxjBo1Ci8vL65cuUJAQEChN3l7mfN6nvT0dIYMGUL16tVp2LAhW7Zs4euvvyYoKEht06ZNG0qXLs2BAwfUYxMmTMDLywsfHx+aNWuGra0tnTp1eu54n3zyCSdPnsTT05MZM2awaNEifHx8ihzvoEGD6NKlCz169ODdd9/lzp07WruF81OhQgV2797NiRMn8PDwYPDgwWpC90W0bNkSV1dXmjRpQo8ePXj//feZMmWKen769OlMnDiR2bNn4+7ujq+vL7t27VKT1hUqVGDq1KmMGzeOcuXKqcnkTZs2cerUKd555x1GjBjB/Pnz84z9ww8/4ODgoO4ihic3RXy6PnJ4eDgZGRnMnj0bOzs79dGlSxe1TYMGDdi4cSOrVq3Cw8OD77//nu3bt2vdvA4Kf72K8v7v2rUrvr6+NG/eHGtra7755psX/v3Qo0cPJk6cyJgxY6hduzZXr17lo48+KvSaOXPm0LVrV/z8/PDy8uLy5cvs27dP3Z37PDo6Omzbto0HDx5Qr149goKCmDlzZqHX6OnpMX78eGrWrEmTJk0oVaqUenNIXV1dvvnmG/744w9q1qzJ3LlzmTFjRpFiedqiRYuwtLSkQYMGdOjQAR8fH7y8vLTaTJs2jYSEBJydndXfzTVr1uTw4cNcvHiRxo0b4+npyaRJk7RqJAshhBBCCCGEEG8jjfJ0gUbxVpgyZQrbt29/oa9P/1thYWEMHz6c+/fvv5bx3nvvPWxtbVm/fv1rGe9l+OKLL9ixYwf79u174T6cnJwYPnx4kb+uL/KqX78+ISEh9O7dWz02efJkDh8+nG8tXyFetqLe3VUIIYQQQgghhHgZivp3qJSMEG+MjIwMvvzyS3x8fChVqhTffPMNBw4cYP/+/SUdWrEMGjSI+/fvk5qaiqmpaUmH8z/p9u3bdOnSRS3NkmvPnj3ydX8hhBBCCCGEEEL8T5OEsHhj5H6tfubMmTx8+BA3Nze2bNlCq1atSjq0YilduvRza6eKV6ts2bKMGTMmz/ETJ06UQDRCCCGEEEIIIYQQbw4pGSGEEG+gl1Ea5tChQzRv3px79+5hYWHx0mITRSMlI4QQQgghhBBCvE5F/TtUbionhBAv2Zw5c9BoNP91NaCbNWv2Wuf0/vvv4+DggIGBAXZ2dvj5+XHjxo3XNr4QQgghhBBCCPHfSEpGCCHESxQVFcXKlSupWbNmSYfy1mvevDn/+c9/sLOz4/r164waNYoPPviAX3/9taRDE0KIt5bTuF0lHcILS5jTrqRDEEIIIYT4ryA7hIUQ4iVJS0ujT58+rF69GktLy+e2/+uvv+jVqxdWVlYYGxtTp04djh8/rtVm/fr1ODk5YW5uTs+ePUlNTVXPZWZmEhISgo2NDQYGBjRq1IioqKhCxzx69CiNGzfG0NAQe3t7QkJCSE9PV88vX74cV1dXDAwMKFeuHB988AEAAQEBHD58mCVLlqDRaNBoNCQkJABw7tw52rRpg4mJCeXKlcPPz4/bt2+rfTZr1oyQkBDGjBmDlZUVtra2TJky5bnrM2LECOrXr4+joyMNGjRg3LhxHDt2jKysrEKvO3z4MPXq1UNfXx87OzvGjRvH48ePixXP/fv3CQoKwtraGjMzM1q0aEFMTMxzYxZCCCGEEEIIId50khAWQoiX5OOPP6Zdu3ZFuhFiWloaTZs25fr16+zYsYOYmBjGjBlDTk6O2iY+Pp7t27ezc+dOdu7cyeHDh5kzZ456fsyYMWzZsoXw8HBOnz6Ni4sLPj4+3L17N98x4+Pj8fX1pWvXrpw9e5bNmzdz9OhRgoODATh58iQhISFMmzaNuLg49u7dS5MmTQBYsmQJ3t7eDBgwgKSkJJKSkrC3t+f+/fu0aNECT09PTp48yd69e7l58ybdu3fXGjs8PBxjY2OOHz/OvHnzmDZtGvv37y/y2t69e5cNGzbQoEEDdHV1C2x3/fp12rZtS926dYmJiWHFihWsXbuWGTNmFCuebt26cevWLfbs2cOpU6fw8vKiZcuWBa6tEEIIIYQQQgjxtpCSEUII8RJs2rSJ06dPP3eHbq6NGzfyzz//EBUVhZWVFQAuLi5abXJycggLC8PU1BQAPz8/IiIimDlzJunp6axYsYKwsDDatGkDwOrVq9m/fz9r165l9OjRecacPXs2ffr0UesAu7q6snTpUpo2bcqKFStITEzE2NiY9u3bY2pqiqOjI56engCYm5ujp6eHkZERtra2ap/Lli3D09OTWbNmqce++uor7O3tuXjxIlWqVAGgZs2aTJ48WR132bJlRERE8N577xW6TmPHjmXZsmVkZGRQv359du7cWWj75cuXY29vz7Jly9BoNFStWpUbN24wduxYJk2ahI6OznPjOXr0KCdOnODWrVvo6+sDsGDBArZv387333/PwIED8x07MzOTzMxM9XlKSkqhsQohhBBCCCGEECVBdggLIcS/dO3aNYYNG8aGDRswMDDIc37w4MGYmJioD4Do6Gg8PT3VZHB+nJyc1GQwgJ2dHbdu3QKe7PbNysqiYcOG6nldXV3q1atHbGxsvv3FxMQQFhamFYuPjw85OTlcuXKF9957D0dHRypXroyfnx8bNmwgIyOj0LnHxMRw8OBBrT6rVq2qxpjr2ZrKT88lv/XJNXr0aM6cOcNPP/1EqVKl6Nu3L4qiAGhdM3jwYABiY2Px9vZGo9GofTRs2JC0tDT++uuvIsUTExNDWloaZcqU0RrjypUrWnN61uzZszE3N1cf9vb2ha6dEEIIIYQQQghREmSHsBBC/EunTp3i1q1beHl5qceys7P55ZdfWLZsmXpDtKcZGho+t99nSyNoNBqtkhLFlZaWxqBBgwgJCclzzsHBAT09PU6fPs2hQ4f46aefmDRpElOmTCEqKgoLC4sC++zQoQNz587Nc87Ozq5Ic5k2bVqe9clVtmxZypYtS5UqVXB3d8fe3p5jx47h7e1NdHS02s7MzOx509dSWDxpaWnY2dlx6NChPNcVtA4A48ePZ+TIkerzlJQUSQoLIYQQQgghhHjjSEJYCCH+pZYtW/L7779rHevXrx9Vq1Zl7NixlCtXjnLlymmdr1mzJmvWrOHu3buF7hIuiLOzM3p6ekRGRuLo6AhAVlYWUVFRakmIZ3l5eXHhwoU8pSmeVrp0aVq1akWrVq2YPHkyFhYW/Pzzz3Tp0gU9PT2ys7Pz9LllyxacnJwoXfrF/kuxsbHBxsbmue1yE7a5ZRnym4e7uztbtmxBURR1l3BkZCSmpqZUrFixSPF4eXnx999/U7p0aZycnIo4C9DX11dLTAghhBBCCCGEEG8qSQgLIcS/ZGpqyjvvvKN1zNjYmDJlyuQ5nqtXr17MmjWLTp06MXv2bOzs7Dhz5gzly5fH29v7uWMaGxvz0UcfMXr0aKysrHBwcGDevHlkZGQQGBiY7zVjx46lfv36BAcHExQUhLGxMRcuXGD//v0sW7aMnTt38ueff9KkSRMsLS3ZvXs3OTk5uLm5AU9KWBw/fpyEhARMTEywsrLi448/ZvXq1fTq1YsxY8ZgZWXF5cuX2bRpE2vWrKFUqVLFXM0njh8/TlRUFI0aNcLS0pL4+HgmTpyIs7NzoeszZMgQFi9ezNChQwkODiYuLo7JkyczcuRItX7w87Rq1Qpvb286derEvHnzqFKlCjdu3GDXrl107tyZOnXqvNCchBDiTZAwp11JhyCEEEIIIUqY1BAWQogSoKenx08//YSNjQ1t27alRo0azJkzp1gJ1Dlz5tC1a1f8/Pzw8vLi8uXL7Nu3D0tLy3zb16xZk8OHD3Px4kUaN26Mp6cnkyZNonz58sCTcghbt26lRYsWuLu78+WXX/LNN99QvXp1AEaNGkWpUqWoVq0a1tbWJCYmUr58eSIjI8nOzqZ169bUqFGD4cOHY2FhUeQEbH6MjIzYunUrLVu2xM3NjcDAQDX+wnbhVqhQgd27d3PixAk8PDwYPHgwgYGBTJgwochjazQadu/eTZMmTejXrx9VqlShZ8+eXL16Nc9ObyGEEEIIIYQQ4m2jUXLvziOEEEKIlyYlJQVzc3OSk5OLXeNYCCGEEEIIIYQorqL+HSo7hIUQQgghhBBCCCGEEOJ/hCSEhRBCCCGEEEIIIYQQ4n+EJISFEK/VlClTqFWrVon38SKcnJxYvHjxax/3TZKQkIBGoyE6OrqkQ6FZs2YMHz680DZhYWFYWFi8lniEEEIIIYQQQoi3gSSEhXiDrVixgpo1a2JmZoaZmRne3t7s2bOnSNdu2rQJjUZDp06dXm2QhdBoNGzfvr3Exn9bFSXRKWDr1q1Mnz5dfZ5fwr5Hjx5cvHjxNUcmhBBCCCGEEEK8uUqXdABCiIJVrFiROXPm4OrqiqIohIeH07FjR86cOUP16tULvC4hIYFRo0bRuHHj1xitEC9HVlYWurq6z21nZWX13DaGhoYYGhq+jLDE/wCncbtKOgQhXrmEOe1KOgQhhBBCCFHCZIewEG+wDh060LZtW1xdXalSpQozZ87ExMSEY8eOFXhNdnY2ffr0YerUqVSuXLlI42g0GlauXEn79u0xMjLC3d2d3377jcuXL9OsWTOMjY1p0KAB8fHxWtf98MMPeHl5YWBgQOXKlZk6dSqPHz8GnuzWBOjcuTMajUZ9nmv9+vU4OTlhbm5Oz549SU1NBWDdunWUKVOGzMxMrfadOnXCz8+vwDmsWbMGd3d3DAwMqFq1KsuXL1fP5ZY52Lp1K82bN8fIyAgPDw9+++03rT6OHj1K48aNMTQ0xN7enpCQENLT07XaZGRk0L9/f0xNTXFwcGDVqlVa569du0b37t2xsLDAysqKjh07kpCQoJ4PCAigU6dOTJ06FWtra8zMzBg8eDCPHj1Szx8+fJglS5ag0WjQaDQkJCSQnZ1NYGAglSpVwtDQEDc3N5YsWaI1dm7fCxYswM7OjjJlyvDxxx+TlZWltrl37x59+/bF0tISIyMj2rRpw6VLlwBIT0/HzMyM77//Xqvf7du3Y2xsrL5Gzzp//jzt27fHzMwMU1NTGjdurL5XoqKieO+99yhbtizm5uY0bdqU06dPa12v0WhYsWIF77//PsbGxsycOVMtC1LQ+wS0d1I3a9aMq1evMmLECHXdIG/JiKL0m5OTw+zZs9W19vDwyLMmQgghhBBCCCHE20oSwkK8JbKzs9m0aRPp6el4e3sX2G7atGnY2NgQGBhYrP6nT59O3759iY6OpmrVqvTu3ZtBgwYxfvx4Tp48iaIoBAcHq+2PHDlC3759GTZsGBcuXGDlypWEhYUxc+ZM4EkiECA0NJSkpCT1OUB8fDzbt29n586d7Ny5k8OHDzNnzhwAunXrRnZ2Njt27FDb37p1i127dtG/f/98Y9+wYQOTJk1i5syZxMbGMmvWLCZOnEh4eLhWu08//ZRRo0YRHR1NlSpV6NWrl5rAjo+Px9fXl65du3L27Fk2b97M0aNHteYMsHDhQurUqcOZM2cYMmQIH330EXFxccCTna0+Pj6Ymppy5MgRIiMjMTExwdfXV034AkRERBAbG8uhQ4f45ptv2Lp1K1OnTgVgyZIleHt7M2DAAJKSkkhKSsLe3p6cnBwqVqzId999x4ULF5g0aRL/+c9/+Pbbb7XiO3jwIPHx8Rw8eJDw8HDCwsIICwtTzwcEBHDy5El27NjBb7/9hqIotG3blqysLIyNjenZsyehoaFafYaGhvLBBx9gamqaZ+2vX79OkyZN0NfX5+eff+bUqVP0799fXdfU1FT8/f05evQox44dw9XVlbZt2+ZJLk+ZMoXOnTvz+++/q69zYe+TZ23dupWKFSsybdo0dd0K8rx+Z8+ezbp16/jyyy85f/48I0aM4MMPP+Tw4cMF9imEEEIIIYQQQrwtpGSEEG+433//HW9vbx4+fIiJiQnbtm2jWrVq+bY9evQoa9eufaEbfvXr14/u3bsDMHbsWLy9vZk4cSI+Pj4ADBs2jH79+qntp06dyrhx4/D39wegcuXKTJ8+nTFjxjB58mSsra0BsLCwwNbWVmusnJwcwsLC1ASjn58fERERzJw5E0NDQ3r37k1oaCjdunUD4Ouvv8bBwYFmzZrlG/vkyZNZuHAhXbp0AaBSpUpqkjo3PoBRo0bRrl07Nf7q1atz+fJlqlatyuzZs+nTp4+649TV1ZWlS5fStGlTVqxYgYGBAQBt27ZlyJAh6jp99tlnHDx4EDc3NzZv3kxOTg5r1qxRd6iGhoZiYWHBoUOHaN26NQB6enp89dVXGBkZUb16daZNm8bo0aOZPn065ubm6OnpYWRkpLVupUqVUpPGuXP87bff+Pbbb9XXDcDS0pJly5ZRqlQpqlatSrt27YiIiGDAgAFcunSJHTt2EBkZSYMGDYAnyXR7e3u2b99Ot27dCAoKokGDBiQlJWFnZ8etW7fYvXs3Bw4cyHftv/jiC8zNzdm0aZNa5qFKlSrq+RYtWmi1X7VqFRYWFhw+fJj27durx3v37q31/oLC3yfPsrKyolSpUpiamuZ5vz2rsH4zMzOZNWsWBw4cUD94qVy5MkePHmXlypU0bdq0wH4zMzO1dranpKQUGocQQgghhBBCCFESZIewEG84Nzc3oqOjOX78OB999BH+/v5cuHAhT7vU1FT8/PxYvXo1ZcuWzbevWbNmYWJioj4SExPVczVr1lT/Xa5cOQBq1Kihdezhw4dqkismJoZp06Zp9Ze7qzUjI6PQOTk5OWntNs1NPOYaMGAAP/30E9evXweefO0/ICBATbI+LT09nfj4eAIDA7VimTFjRp4SF0/P0c7ODkAdNyYmhrCwMK0+fHx8yMnJ4cqVK/n2odFosLW11erj8uXLmJqaqn1YWVnx8OFDrVg8PDwwMjJSn3t7e5OWlsa1a9cKXbcvvviC2rVrY21tjYmJCatWrdJ6DQGqV69OqVKl8l3b2NhYSpcuzbvvvqueL1OmDG5ubsTGxgJQr149qlevru6u/vrrr3F0dKRJkyb5xhQdHU3jxo0LrPl78+ZNBgwYgKurK+bm5piZmZGWlpYn7jp16uS59nnvkxdVWL+XL18mIyOD9957T+u9sG7dujzvp2fNnj0bc3Nz9WFvb/+vYxVCCCGEEEIIIV422SEsxBtOT08PFxcXAGrXrk1UVBRLlixh5cqVWu3i4+NJSEigQ4cO6rGcnBwASpcuTVxcHIMHD9baTVq+fHn1308n9HITr/kdy+0zLS2NqVOnqrtyn5a7m7YgzyYPNRqN2i+Ap6cnHh4erFu3jtatW3P+/Hl27cr/Zk9paWkArF69WivRCWglRosyn0GDBhESEpJnDAcHhyLFnpaWRu3atdmwYUOePnJ3TL+oTZs2MWrUKBYuXIi3tzempqbMnz+f48ePa7V73toWRVBQEF988QXjxo0jNDSUfv365ZuMB557wzZ/f3/u3LnDkiVLcHR0RF9fH29vb60SGgDGxsZ5rn0Zc8nP815DgF27dlGhQgWtdvr6+oX2O378eEaOHKk+T0lJkaSwEEIIIYQQQog3jiSEhXjL5OTk5LnhGkDVqlX5/ffftY5NmDCB1NRUlixZgr29PXp6elhZWb2UOLy8vIiLi1OT1fnR1dUlOzv7hfoPCgpi8eLFXL9+nVatWhWYWCtXrhzly5fnzz//pE+fPi80FjyZz4ULFwqdT1H62Lx5MzY2NpiZmRXYLiYmhgcPHqjJ1GPHjmFiYqLOUU9PL8+65ZZ5yC1XATx3x+qz3N3defz4McePH1dLRty5c4e4uDitMiQffvghY8aMYenSpVy4cEGr7MazatasSXh4OFlZWfnuEo6MjGT58uW0bdsWeHLTvdu3bxcr7qLKb92Kq1q1aujr65OYmFhoeYj86OvrPzdpLIQQQgghhBBClDRJCAvxBhs/fjxt2rTBwcGB1NRUNm7cyKFDh9i3b1+etgYGBrzzzjtaxywsLADyHH8ZJk2aRPv27XFwcOCDDz5AR0eHmJgYzp07x4wZM4AnX82PiIigYcOG6OvrY2lpWeT+e/fuzahRo1i9ejXr1q0rtO3UqVMJCQnB3NwcX19fMjMzOXnyJPfu3dPasVmYsWPHUr9+fYKDgwkKCsLY2JgLFy6wf/9+li1bVqQ++vTpw/z58+nYsSPTpk2jYsWKXL16la1btzJmzBgqVqwIwKNHjwgMDGTChAkkJCQwefJkgoOD0dF5UsXHycmJ48ePk5CQoJadcHV1Zd26dezbt49KlSqxfv16oqKiqFSpUpFigyd1kTt27MiAAQNYuXIlpqamjBs3jgoVKtCxY0e1naWlJV26dGH06NG0bt1ajTs/wcHBfP755/Ts2ZPx48djbm7OsWPHqFevHm5ubri6urJ+/Xrq1KlDSkoKo0ePfu6u4hfl5OTEL7/8Qs+ePdHX1y+wdEphTE1NGTVqFCNGjCAnJ4dGjRqRnJxMZGQkZmZmhSbHxdsvYU67kg5BCCGEEEIIIV45qSEsxBvs1q1b9O3bFzc3N1q2bElUVBT79u3jvffeAyAgIKDAG629aj4+PuzcuZOffvqJunXrUr9+fT777DMcHR3VNgsXLmT//v3Y29vj6elZrP7Nzc3p2rUrJiYmdOrUqdC2QUFBrFmzhtDQUGrUqEHTpk0JCwsrVrK0Zs2aHD58mIsXL9K4cWM8PT2ZNGmSVlmN5zEyMuKXX37BwcGBLl264O7uTmBgIA8fPtTaMdyyZUtcXV1p0qQJPXr04P3332fKlCnq+VGjRlGqVCmqVauGtbU1iYmJDBo0iC5dutCjRw/effdd7ty5o7VbuKhCQ0OpXbs27du3x9vbG0VR2L17d57dvYGBgTx69Ij+/fsX2l+ZMmX4+eefSUtLo2nTptSuXZvVq1er/a1du5Z79+7h5eWFn58fISEh2NjYFDvuopg2bRoJCQk4Ozv/qxId06dPZ+LEicyePRt3d3d8fX3ZtWtXsd5PQgghhBBCCCHEm0qjKIpS0kEIIV5M06ZNad68uVYy8b9Jy5YtqV69OkuXLi3pUF6agIAA7t+/z/bt20s6lEKtX7+eESNGcOPGDfT09Eo6nLdSSkoK5ubmJCcnF1pCRAghhBBCCCGEeBmK+neolIwQ4i2VnJxMfHx8gTdbe5vdu3ePQ4cOcejQIZYvX17S4fxPycjIICkpiTlz5jBo0CBJBgshhBBCCCGEEP9lpGSEEG8pc3Nz/vrrL0xMTEo6lJfO09OTgIAA5s6di5ubW0mH8z9l3rx5VK1aFVtbW8aPH1/S4QghhBBCCCGEEOIlk4SwEOKNk5CQQHJyMqNGjfpX/Tg5ObF48eKXE9RLEhYW9kLlIu7cuYONjQ0JCQkvPaanTZkyhaysLCIiIl77hw3NmjVj+PDh6vM36fWrX78+W7ZsKekwhBBCCCGEEEKIf00SwkII8QokJCSg0WiIjo5+Kf3NnDmTjh074uTk9FL6e9nxvQpRUVEMHDjwpfb5oknmCRMmMG7cOHJycl5qPEIIIYQQQgghxOsmNYSFEKIYHj169Nrr6mZkZLB27Vr27dv3WsctadbW1iUdgqpNmzYEBQWxZ88e2rVrV9LhCCHEC3Ma999z74GEOfL7WAghhBDiRcgOYSHEG+v777+nRo0aGBoaUqZMGVq1akV6ejqQt7wAQKdOnQgICNA6lpqaSq9evTA2NqZChQp88cUXWufv379PUFAQ1tbWmJmZ0aJFC2JiYtTzU6ZMoVatWqxZs4ZKlSphYGAAwN69e2nUqBEWFhaUKVOG9u3bEx8fr15XqVIl4Ek9ZI1GQ7NmzdRza9aswd3dHQMDA6pWrfrcG+ft3r0bfX196tevr3X88OHD1KtXD319fezs7Bg3bhyPHz9Wz+fk5DBv3jxcXFzQ19fHwcGBmTNnFhpfVFQU7733HmXLlsXc3JymTZty+vRprXE1Gg1r1qyhc+fOGBkZ4erqyo4dO7TanDt3jjZt2mBiYkK5cuXw8/Pj9u3b6vn09HT69u2LiYkJdnZ2LFy4MM+8n93Nm5iYSMeOHTExMcHMzIzu3btz8+ZN9Xx8fDwdO3akXLlymJiYULduXQ4cOKCeb9asGVevXmXEiBFoNBo0Go167ujRozRu3BhDQ0Ps7e0JCQlR32sApUqVom3btmzatCn/F0kIIYQQQgghhHhLSEJYCPFGSkpKolevXvTv35/Y2FgOHTpEly5dUBSlWP3Mnz8fDw8Pzpw5w7hx4xg2bBj79+9Xz3fr1o1bt26xZ88eTp06hZeXFy1btuTu3btqm8uXL7Nlyxa2bt2qllhIT09n5MiRnDx5koiICHR0dOjcubNaUuDEiRMAHDhwgKSkJLZu3QrAhg0bmDRpEjNnziQ2NpZZs2YxceJEwsPDC5zDkSNHqF27ttax69ev07ZtW+rWrUtMTAwrVqxg7dq1zJgxQ20zfvx45syZw8SJE7lw4QIbN26kXLlyhcaXmpqKv78/R48e5dixY7i6utK2bVtSU1O1xp86dSrdu3fn7NmztG3blj59+qhrdv/+fVq0aIGnpycnT55k79693Lx5k+7du6vXjx49msOHD/PDDz/w008/cejQoTyJ56fl5OTQsWNH7t69y+HDh9m/fz9//vknPXr0UNukpaXRtm1bIiIiOHPmDL6+vnTo0IHExEQAtm7dSsWKFZk2bRpJSUkkJSUBTxLJvr6+dO3albNnz7J582aOHj1KcHCwVgz16tXjyJEjBcaYmZlJSkqK1kMIIYQQQgghhHjTSMkIIcQbKSkpicePH9OlSxccHR0BqFGjRrH7adiwIePGjQOgSpUqREZG8tlnn/Hee+9x9OhRTpw4wa1bt9DX1wdgwYIFbN++ne+//16tX/vo0SPWrVunVcKga9euWuN89dVXWFtbc+HCBd555x21bZkyZbC1tVXbTZ48mYULF9KlSxfgyU7dCxcusHLlSvz9/fOdw9WrVylfvrzWseXLl2Nvb8+yZcvQaDRUrVqVGzduMHbsWCZNmkR6ejpLlixh2bJlar/Ozs40atQIoMD4WrRooTXOqlWrsLCw4PDhw7Rv3149HhAQQK9evQCYNWsWS5cu5cSJE/j6+rJs2TI8PT2ZNWuW1vrY29tz8eJFypcvz9q1a/n6669p2bIlAOHh4VSsWDHf+QNERETw+++/c+XKFezt7QFYt24d1atXJyoqirp16+Lh4YGHh4d6zfTp09m2bRs7duwgODgYKysrSpUqhampqdacZ8+eTZ8+fdQd566urixdupSmTZuyYsUKdVd4+fLluXbtGjk5Oejo5P08dfbs2UydOrXAOQghhBBCCCGEEG8C2SEshHgjeXh40LJlS2rUqEG3bt1YvXo19+7dK3Y/3t7eeZ7HxsYCEBMTQ1paGmXKlMHExER9XLlyRav8g6OjY556tpcuXaJXr15UrlwZMzMz9WZvubtR85Oenk58fDyBgYFa482YMUNrvGc9ePBATUrmio2NxdvbW6vsQcOGDUlLS+Ovv/4iNjaWzMxMNeFaVDdv3mTAgAG4urpibm6OmZkZaWlpeeZVs2ZN9d/GxsaYmZlx69Yt4Mm6Hjx4UGuOVatWBZ7sxo2Pj+fRo0e8++67ah9WVla4ubkVGFdsbCz29vZqMhigWrVqWFhYqK9nWloao0aNwt3dHQsLC0xMTIiNjS30NcmNNywsTCteHx8fcnJyuHLlitrO0NCQnJwcMjMz8+1n/PjxJCcnq49r164VOq4QQgghhBBCCFESZIewEOKNVKpUKfbv38+vv/7KTz/9xOeff86nn37K8ePHqVSpEjo6OnnKR2RlZRVrjLS0NOzs7Dh06FCecxYWFuq/jY2N85zv0KEDjo6OrF69mvLly5OTk8M777zDo0ePCh0PYPXq1VrJUHgy34KULVu22MlwQ0PDYrXP5e/vz507d1iyZAmOjo7o6+vj7e2dZ166urpazzUajVouIy0tjQ4dOjB37tw8/dvZ2XH58uUXiu15Ro0axf79+1mwYAEuLi4YGhrywQcfFPqa5MY7aNAgQkJC8pxzcHBQ/3337l2MjY0LXFt9fX11p7kQQgghhBBCCPGmkoSwEOKNpdFoaNiwIQ0bNmTSpEk4Ojqybds2Ro4cibW1tVoDFiA7O5tz587RvHlzrT6OHTuW57m7uzsAXl5e/P3335QuXVrd4VsUd+7cIS4ujtWrV9O4cWPgyU3Jnqanp6fGlatcuXKUL1+eP//8kz59+hR5PE9PT77++mutY+7u7mzZsgVFUdRdwpGRkZiamlKxYkVsbGwwNDQkIiKCoKCgPH3mF19uH8uXL6dt27YAXLt2TetmcEXh5eXFli1bcHJyonTpvP/NODs7o6ury/Hjx9WE671797h48SJNmzbNt093d3euXbvGtWvX1F3CFy5c4P79+1SrVk2NPSAggM6dOwNPEr0JCQl55v3snL28vLhw4QIuLi6FzuvcuXN4eno+fwGEEEIIIYQQQog3mCSEhRBvpOPHjxMREUHr1q2xsbHh+PHj/PPPP2oyt0WLFowcOZJdu3bh7OzMokWLuH//fp5+IiMjmTdvHp06dWL//v1899137Nq1C4BWrVrh7e1Np06dmDdvHlWqVOHGjRvs2rWLzp07U6dOnXxjs7S0pEyZMqxatQo7OzsSExPVOsW5chOye/fupWLFihgYGGBubs7UqVMJCQnB3NwcX19fMjMzOXnyJPfu3WPkyJH5jufj48P48eO5d+8elpaWAAwZMoTFixczdOhQgoODiYuLY/LkyYwcORIdHR0MDAwYO3YsY8aMQU9Pj4YNG/LPP/9w/vx5AgMDC4zP1dWV9evXU6dOHVJSUhg9enSxdxt//PHHrF69ml69ejFmzBisrKy4fPkymzZtYs2aNZiYmBAYGMjo0aMpU6YMNjY2fPrpp/nW5c3VqlUratSoQZ8+fVi8eDGPHz9myJAhNG3aVH2dXF1d2bp1Kx06dECj0TBx4kR113IuJycnfvnlF3r27Im+vj5ly5Zl7Nix1K9fn+DgYIKCgjA2NubChQvs37+fZcuWqdceOXKE1q1bF2sthBDiTZMwp11JhyCEEEIIIUqY1BAWQryRzMzM+OWXX2jbti1VqlRhwoQJLFy4kDZt2gDQv39//P396du3L02bNqVy5cp5dgcDfPLJJ5w8eRJPT09mzJjBokWL8PHxAZ7sQN69ezdNmjShX79+VKlShZ49e3L16lXKlStXYGw6Ojps2rSJU6dO8c477zBixAjmz5+v1aZ06dIsXbqUlStXUr58eTp27AhAUFAQa9asITQ0lBo1atC0aVPCwsKoVKlSgePVqFEDLy8vvv32W/VYhQoV2L17NydOnMDDw4PBgwcTGBjIhAkT1DYTJ07kk08+YdKkSbi7u9OjRw+1zm9B8a1du5Z79+7h5eWFn58fISEh2NjYFPpaPat8+fJERkaSnZ1N69atqVGjBsOHD8fCwkJN+s6fP5/GjRvToUMHWrVqRaNGjahdu3aBfWo0Gn744QcsLS1p0qQJrVq1onLlymzevFlts2jRIiwtLWnQoAEdOnTAx8cHLy8vrX6mTZtGQkICzs7Oal3omjVrcvjwYS5evEjjxo3x9PRk0qRJWjfyu379Or/++iv9+vUr1loIIYQQQgghhBBvGo3ybBFOIYQQb5xdu3YxevRozp07V+hOWvFqjB07lnv37rFq1aoiX5OSkoK5uTnJycmYmZm9wuiEEEIIIYQQQoii/x0qJSOEEOIt0K5dOy5dusT169fVGrri9bGxsSmwpIcQQgghhBBCCPE2kR3CQgghxCsgO4SFEEIIIYQQQrxORf07VL53LErMoUOH0Gg0+d4IrDicnJxYvHjxv45Ho9Gwffv2f91PcTwv9oSEBDQaDdHR0cDLW7PCxnhdXsZ6h4WFYWFh8VLieZWKusZxcXHY2tqSmpr6egJ7i+zdu5datWrluUncswICAtBoNMV+f+W+RhqNhlq1av27YIUQQgghhBBCiDeYJITFWy8qKoqBAweqz0sisfu6NGjQgKSkJMzNzUs6FPEKjB8/nqFDh2JqagrAw4cPCQgIoEaNGpQuXZpOnTrle11mZiaffvopjo6O6Ovr4+TkxFdffVXoWKtWraJZs2aYmZkV+iHDgwcPMDY25vLlyyQlJdG7d2+qVKmCjo4Ow4cPz/eaxYsX4+bmhqGhIfb29owYMYKHDx8WGEtCQgKBgYFUqlQJQ0NDnJ2dmTx5Mo8ePVLb+Pr6oqury4YNGwqdV27bpKQk9QaEADNnzqRBgwYYGRnl+yGCvb09SUlJfPLJJ/n22axZs+eOK4QQQgghhBBCvA2khrB461lbW5d0CK+Nnp4etra2JR2GeEpWVha6urr/up/ExER27tzJ559/rh7Lzs7G0NCQkJAQtmzZUuC13bt35+bNm6xduxYXFxeSkpKeu5M2IyMDX19ffH19GT9+fIHt9u/fj6OjIy4uLiQkJGBtbc2ECRP47LPP8m2/ceNGxo0bx1dffUWDBg24ePGiumt30aJF+V7zxx9/kJOTw8qVK3FxceHcuXMMGDCA9PR0FixYoLYLCAhg6dKl+Pn5FTo3fX39PD8njx49olu3bnh7e7N27do815QqVQpbW1tMTEzUY5GRkTx48IBWrVqpxw4cOICRkRENGjQoNAYhhHhTOY3bVdIh/FdKmNOupEMQQgghhCgy2SEsXkizZs0IDg4mODgYc3NzypYty8SJE3m6JPX69eupU6cOpqam2Nra0rt3b27dulVgn7lf/9+5cydubm4YGRnxwQcfkJGRQXh4OE5OTlhaWhISEkJ2drZ63dNlF5ycnADo3LkzGo1GfQ6wYsUKnJ2d0dPTw83NjfXr1xc6x2vXrtG9e3csLCywsrKiY8eOJCQkqOdzcnKYNm0aFStWRF9fn1q1arF37171fIsWLQgODtbq859//kFPT4+IiIhCxy7IsyUjctds3759uLu7Y2Jiou6OLGqc+Tl37hxt2rTBxMSEcuXK4efnx+3bt9XzmZmZhISEYGNjg4GBAY0aNSIqKgoARVFwcXHRSuQBREdHo9FouHz5cpHnu2PHDlxdXTEwMKB58+aEh4cXuJs1ISEBHR0dTp48qXV88eLFODo6qgnS8+fP0759e8zMzDA1NaVx48bEx8er7desWYO7uzsGBgZUrVqV5cuXa42h0WjYvHkzTZs2xcDAgA0bNrzQGj/r22+/xcPDgwoVKqjHjI2NWbFiBQMGDCjwg4C9e/dy+PBhdu/eTatWrXBycsLb25uGDRsWOt7w4cMZN24c9evXL7TdDz/8wPvvvw88+flasmQJffv2LXCX+q+//krDhg3p3bs3Tk5OtG7dml69enHixIkCx/D19SU0NJTWrVtTuXJl3n//fUaNGsXWrVu12nXo0IGTJ09qvV5FNXXqVEaMGEGNGjWKfI2DgwMrV65kyJAhpKamMmTIEFatWiU39RNCCCGEEEII8VaThLB4YeHh4ZQuXZoTJ06wZMkSFi1axJo1a9TzWVlZTJ8+nZiYGLZv305CQgIBAQGF9pmRkcHSpUvZtGkTe/fu5dChQ3Tu3Jndu3eze/du1q9fz8qVK/n+++/zvT43KRkaGkpSUpL6fNu2bQwbNoxPPvmEc+fOMWjQIPr168fBgwfz7ScrKwsfHx9MTU05cuQIkZGRarI192vsS5YsYeHChSxYsICzZ8/i4+PD+++/z6VLlwAICgpi48aNZGZmqv1+/fXXVKhQgRYtWhRtkYsgIyODBQsWsH79en755RcSExMZNWqUev55cT7r/v37tGjRAk9PT06ePMnevXu5efMm3bt3V9uMGTOGLVu2EB4ezunTp3FxccHHx4e7d++i0Wjo378/oaGhWv2GhobSpEkTXFxcijSvK1eu8MEHH9CpUydiYmIYNGgQn376aYHtnZycaNWqVb7jBgQEoKOjw/Xr12nSpAn6+vr8/PPPnDp1iv79+/P48WMANmzYwKRJk5g5cyaxsbHMmjWLiRMnEh4ertXnuHHjGDZsGLGxsfj4+BR7jfNz5MgR6tSpU+T2uXbs2EGdOnWYN28eFSpUoEqVKowaNYoHDx6obXI/SHj6A42iyMnJYefOnXTs2LHI1zRo0IBTp06pCeA///yT3bt307ZtW7VNWFgYGo2m0H6Sk5OxsrLSOubg4EC5cuU4cuRIMWbx4uzt7fnuu+8wNzfn9OnTWFhY8O233xaYEM7MzCQlJUXrIYQQQgghhBBCvGkkISxemL29PZ999hlubm706dOHoUOHan2NvH///rRp04bKlStTv359li5dyp49e0hLSyuwz6ysLFasWIGnpydNmjThgw8+4OjRo6xdu5Zq1arRvn17mjdvXmAiN7d8hIWFBba2turzBQsWEBAQwJAhQ6hSpQojR46kS5cueXax5tq8eTM5OTmsWbOGGjVq4O7uTmhoKImJiRw6dEjtc+zYsfTs2RM3Nzfmzp1LrVq11N3KXbp0AZ7ssMwVFhamfn3+ZcnKyuLLL7+kTp06eHl5ERwcrLUD+XlxPmvZsmV4enoya9YsqlatiqenJ1999RUHDx7k4sWLpKens2LFCubPn0+bNm2oVq0aq1evxtDQUP0qfkBAAHFxcWpSMCsri40bN9K/f/8iz2vlypW4ubkxf/583Nzc6Nmz53M/UAgKCuKbb75Rk/CnT5/m999/p1+/fgB88cUXmJubs2nTJurUqUOVKlXo168fbm5uAEyePJmFCxfSpUsXKlWqRJcuXRgxYgQrV67UGmf48OFqGzs7u2KvcX6uXr1K+fLli9w+159//snRo0c5d+4c27ZtY/HixXz//fcMGTJEbWNkZISbm1uxS1scO3YMgHfffbfI1/Tu3Ztp06bRqFEjdHV1cXZ2plmzZvznP/9R25ibm6trnp/Lly/z+eefM2jQoDznypcvz9WrV4sxixd3/fp1evbsyf379/Hy8uLevXv07NmT69ev59t+9uzZmJubqw/ZSSyEEEIIIYQQ4k0kCWHxwurXr6+V2PT29ubSpUtqOYdTp07RoUMHHBwcMDU1pWnTpsCTWqkFMTIywtnZWX1erlw5nJyctOp6litXrtDSE/mJjY3N8xX6hg0bEhsbm2/7mJgYLl++jKmpKSYmJpiYmGBlZcXDhw+Jj48nJSWFGzduFNqngYEBfn5+6s29Tp8+zblz5wpMag4ePFgd6+n5Ps+za2ZnZ6euT1HizG/uBw8e1IqlatWqAMTHxxMfH09WVpZWn7q6utSrV0/ts3z58rRr106d+48//khmZibdunXLd8zc8hQmJiZUr14dgLi4OOrWravVrl69eoWuRadOnShVqhTbtm0DniTgmzdvrpYOiY6OpnHjxvkmRtPT04mPjycwMFBr7jNmzMhTouDpnbwvssb5efDgAQYGBkVunysnJweNRsOGDRuoV68ebdu2ZdGiRYSHh6u7hOvVq8cff/yhVY6iKH744Qfat2+Pjk7R/6s4dOgQs2bNYvny5Zw+fZqtW7eya9cupk+frrbp3Lkzf/zxR77XX79+HV9fX7p168aAAQPynDc0NCQjI6NY83hRCQkJBAUFsWLFCkxNTVmxYgVBQUEF7rQeP348ycnJ6uPatWuvJU4hhBBCCCGEEKI45KZy4pVIT0/Hx8cHHx8fNmzYgLW1NYmJifj4+KglF/LzbKJOo9Hke+x5N8z6t9LS0qhduzYbNmzIc644N7ELCgqiVq1a/PXXX4SGhtKiRQscHR3zbTtt2jStUg9Fld/6PF3LubjS0tLo0KEDc+fOzXPOzs6uyPVbg4KC8PPz47PPPiM0NJQePXpgZGSUb9s1a9aoyct/c4M2PT09+vbtS2hoKF26dGHjxo0sWbJEPW9oaFjgtbk711evXp1nR2ypUqW0nhsbG79wjAUpW7Ys9+7dK/Z1dnZ2VKhQQaumr7u7O4qi8Ndff+Hq6vrCMe3YsYM5c+YU65qJEyfi5+dHUFAQADVq1CA9PZ2BAwfy6aefFppcvnHjBs2bN6dBgwasWrUq3zZ37959bTeSzK8O89M3mHuWvr4++vr6rzIkIYQQQgghhBDiX5OEsHhhx48f13p+7NgxXF1dKVWqFH/88Qd37txhzpw56temn73Z16uiq6urddM5eJIgi4yMxN/fXz0WGRlJtWrV8u3Dy8uLzZs3Y2Njg5mZWb5typcvT2RkpLrzObfPp3ex1qhRgzp16rB69Wo2btzIsmXLCozbxsYGGxubIs2xqMzMzIoU59O8vLzYsmULTk5OlC6d91dE7o35IiMj1eR2VlYWUVFRDB8+XG3Xtm1b9aZoe/fu5Zdffikwzvx2rrq5ubF7926tY7k1oQsTFBTEO++8w/Lly3n8+LFaugOgZs2ahIeHk5WVlSfxXK5cOcqXL8+ff/5Jnz59njtOrhdZ4/x4enpy4cKFIrfP1bBhQ7777jvS0tLUneUXL15ER0eHihUrFru/XJcuXeLq1au89957xbouIyMjT9I3N6Fe2AcV169fp3nz5tSuXZvQ0NB8E8e5O/Q9PT2LFdPLkFsqRgghhBBCCCGEeNtJQli8sMTEREaOHMmgQYM4ffo0n3/+OQsXLgSe3PxJT0+Pzz//nMGDB3Pu3Dmtr4y/Sk5OTkRERNCwYUP09fWxtLRk9OjRdO/eHU9PT1q1asWPP/7I1q1bOXDgQL599OnTh/nz59OxY0emTZtGxYoVuXr1Klu3bmXMmDFUrFiR0aNHM3nyZJydnalVqxahoaFER0fn2VUcFBREcHAwxsbGdO7c+XUsgZaixpnr448/ZvXq1fTq1YsxY8ZgZWXF5cuX2bRpE2vWrMHY2JiPPvqI0aNHY2VlhYODA/PmzSMjI4PAwEC1n1KlShEQEMD48eNxdXXF29u7WHEPGjSIRYsWMXbsWAIDA4mOjiYsLAyg0BrM7u7u1K9fn7Fjx9K/f3+tXcHBwcF8/vnn9OzZk/Hjx2Nubs6xY8eoV68ebm5uTJ06lZCQEMzNzfH19SUzM5OTJ09y7949Ro4c+dLWOD8+Pj4EBQWRnZ2ttSP5woULPHr0iLt375Kamkp0dDQAtWrVAp7U7J0+fTr9+vVj6tSp3L59m9GjR2vN/cSJE/Tt25eIiAg1+f7333/z999/c/nyZQB+//13TE1NcXBwwMrKih9++IFWrVrl2dWdO35aWhr//PMP0dHR6OnpqR+udOjQgUWLFuHp6cm7777L5cuXmThxIh06dFDntW3bNsaPH6+Wjbh+/TrNmjXD0dGRBQsW8M8//6jj2draqv8+duwY+vr6xX4vwZPfV3fv3iUxMZHs7Gx1Hi4uLsUq0SKEEG+7hDntSjoEIYQQQghR0hQhXkDTpk2VIUOGKIMHD1bMzMwUS0tL5T//+Y+Sk5Ojttm4caPi5OSk6OvrK97e3sqOHTsUQDlz5oyiKIpy8OBBBVDu3bunKIqihIaGKubm5lrjTJ48WfHw8NA65u/vr3Ts2FF97ujoqHz22Wfq8x07diguLi5K6dKlFUdHR/X48uXLlcqVKyu6urpKlSpVlHXr1mn1Cyjbtm1TnyclJSl9+/ZVypYtq+jr6yuVK1dWBgwYoCQnJyuKoijZ2dnKlClTlAoVKii6urqKh4eHsmfPnjxrlZqaqhgZGSlDhgzJc+7Z2J915cqVYq/Ztm3blKd/tJ8X57NjKIqiXLx4UencubNiYWGhGBoaKlWrVlWGDx+uvr4PHjxQhg4dqq5Nw4YNlRMnTuSJPz4+XgGUefPm5Tn37Hrn54cfflBcXFwUfX19pVmzZsqKFSsUQHnw4EGB81cURVm7dq0C5BtTTEyM0rp1a8XIyEgxNTVVGjdurMTHx6vnN2zYoNSqVUvR09NTLC0tlSZNmihbt24tcK0U5cXW+FlZWVlK+fLllb1792odd3R0VIA8j6fFxsYqrVq1UgwNDZWKFSsqI0eOVDIyMtTzue+bK1euqMcmT56cb7+hoaGKoihKo0aNlNWrV+eJM79rnv45y8rKUqZMmaI4OzsrBgYGir29vTJkyBD1PasoT163p+eQ+/x58xw4cKAyaNCgAtdQUfL+fnj6eH79Hzx4UKtdfr9zXlRycrICqL8zhBBCCCGEEEKIV6mof4dqFOVfFBsV/7OaNWtGrVq1WLx4cUmH8sZLSEjA2dmZqKgovLy8Sjqc1+rIkSO0bNmSa9euUa5cuX/d38yZM/nyyy+fe7Ou6dOn891333H27Nl/Pebr9MUXX7Bjxw727dtXonHcvn0bOzs7/vrrr5fyur0Mt2/fxs3NjZMnT1KpUqUC2wUEBHD//n22b9/+QuNMmTKF7du3qzuI/42UlBTMzc1JTk4usPSMEEIIIYQQQgjxshT171ApGSHEK5KVlcWdO3eYMGEC9evX/59KBmdmZvLPP/8wZcoUunXr9sJJxeXLl1O3bl3KlClDZGQk8+fPJzg4uMD2aWlpJCQksGzZMmbMmPGi4ZeYQYMGcf/+fVJTUzE1NS2xOO7evcuiRYvemGQwPPlgZfny5YUmg3Pt3LkTExMTNm3aRPv27YvUf2JiItWqVePRo0cF1hYXQgghhBBCCCH+G8gOYfFCZIfw8x06dIjmzZtTpUoVvv/+e2rUqFHSIb02YWFhBAYGUqtWLXbs2JHvTeOKYsSIEWzevJm7d+/i4OCAn58f48ePz/dmd/Bkd+g333xDp06d2Lhxo1YtXvG/4datW6SkpABgZ2eHsbFxka57/PgxCQkJAOjr66s3w/w3ZIewEEIIIYQQQojXqah/h0pCWIgXkJvsvXfvHhYWFq9lzISEBCpVqsSZM2fUG4q9iH/7lfoX8bK+hu/k5MTw4cMZPnz4S4nrVSnqGvv5+eHu7s5//vOf1xPYW6Rnz57UrVuXTz75pFjXBQQEEB4eDjy5eV2nTp2KdF3uzxeAh4eHlIwQQgghhBBCCPHWKerfoTqvMSYhhBD/X0xMDLt37yYkJEQ9tnXrVlq3bk2ZMmXQaDT5JiX//vtv/Pz8sLW1xdjYGC8vL7Zs2VLoWElJSfTu3ZsqVaqgo6NTaEJ96tSpfPjhhwCsWrWKZs2aYWZmhkaj4f79+3naX7x4kY4dO1K2bFnMzMxo1KgRBw8eLDSe8+fP07VrV5ycnNBoNPl+02DChAnMnDmT5OTkQvvKj6+vL0lJSbRp00Y9NnPmTBo0aICRkVG+H+LY29uTlJRUYAK6WbNmxY5DCCGEEEIIIYR4E0kNYSGEKKJHjx6hp6f3Uvr6/PPP6datGyYmJuqx9PR0GjVqRPfu3RkwYEC+1/Xt25f79++zY8cOypYty8aNG+nevTsnT57E09Mz32syMzOxtrZmwoQJfPbZZ4XG9cMPPzBu3DgAMjIy8PX1xdfXl/Hjx+fbvn379ri6uvLzzz9jaGjI4sWLad++PfHx8dja2uZ7TUZGBpUrV6Zbt26MGDEi3zbvvPMOzs7OfP3113z88ceFxvwsfX39PGM/evSIbt264e3tzdq1a/NcU6pUKWxtbbVej8jISB48eECrVq3UYwcOHMDIyIgGDRoUKyYhhHhTOI3bVdIhCPGvJcxpV9IhCCGEEG812SEsRD4yMzMJCQnBxsYGAwMDGjVqRFRUVKHXHD16lMaNG2NoaIi9vT0hISGkp6er5+/du0ffvn2xtLTEyMiINm3acOnSJeBJItDMzIzvv/9eq8/t27djbGxMampqkWP//fffadGiBYaGhpQpU4aBAweSlpZWYPucnBxmz55NpUqVMDQ0xMPDI08chw8fpl69eujr62NnZ8e4ceN4/PgxAOvWraNMmTJkZmZqXdOpUyf8/PyKHHdqaip9+vTB2NgYOzs7PvvsM5o1a1bgbtb+/fvnuWFYVlYWNjY2asIvJyeHefPm4eLigr6+Pg4ODsycOVNtf+3aNbp3746FhQVWVlZ07NhRrSMLT8oPdOrUiZkzZ1K+fHnc3NyA4q/xs7Kzs/n+++/p0KGD1nE/Pz8mTZqklYB81q+//srQoUOpV68elStXZsKECVhYWHDq1KkCr3FycmLJkiX07dsXc3PzAttdu3aN8+fP4+vrC8Dw4cMZN24c9evXz7f97du3uXTpEuPGjaNmzZq4uroyZ84cMjIyOHfuXIHj1K1bl/nz59OzZ0/09fULbNehQwc2bdpU4PnimDp1KiNGjChWLW8HBwdWrlzJkCFDSE1NZciQIaxateql1BcWQgghhBBCCCFKiiSEhcjHmDFj2LJlC+Hh4Zw+fRoXFxd8fHy4e/duvu3j4+Px9fWla9eunD17ls2bN3P06FGCg4PVNgEBAZw8eZIdO3bw22+/oSgKbdu2JSsrC2NjY3r27EloaKhWv6GhoXzwwQeYmpoWKe709HR8fHywtLQkKiqK7777jgMHDmjF8azZs2ezbt06vvzyS86fP8+IESP48MMPOXz4MADXr1+nbdu21K1bl5iYGFasWMHatWuZMWMGAN26dSM7O5sdO3aofd66dYtdu3bRv3//IsUNMHLkSCIjI9mxYwf79+/nyJEjnD59usD2QUFB7N27l6SkJPXYzp07ycjIoEePHgCMHz+eOXPmMHHiRC5cuMDGjRspV64c8CR57OPjg6mpKUeOHCEyMhITExN8fX159OiR2mdERARxcXHs37+fnTt3vtAaP+vs2bMkJydTp06dIl+Tq0GDBuqN9nJycti0aRMPHz7UKmnQrFkzAgICit33jh071BIRRVGmTBnc3NxYt24d6enpPH78mJUrV2JjY0Pt2rXVdk5OTkyZMqXY8dSrV48TJ07k+bDhdbG3t+e7777D3Nyc06dPY2FhwbfffltgQjgzM5OUlBSthxBCCCGEEEII8aaRhLAQz0hPT2fFihXMnz+fNm3aUK1aNVavXo2hoWG+XzWHJ0nVPn36MHz4cFxdXWnQoAFLly5l3bp1PHz4kEuXLrFjxw7WrFlD48aN8fDwYMOGDVy/fl298VhQUBD79u1TE5y3bt1i9+7dxUqqbty4kYcPH7Ju3TreeecdWrRowbJly1i/fj03b97M0z4zM5NZs2bx1Vdf4ePjQ+XKlQkICODDDz9k5cqVACxfvhx7e3uWLVtG1apV6dSpE1OnTmXhwoXk5ORgaGhI7969tZLZX3/9NQ4ODkWuu5qamkp4eDgLFiygZcuWvPPOO4SGhpKdnV3gNQ0aNMDNzY3169erx0JDQ9UyDKmpqSxZsoR58+bh7++Ps7MzjRo1IigoCIDNmzeTk5PDmjVrqFGjBu7u7oSGhpKYmMihQ4fUPo2NjVmzZg3Vq1enevXqxV7j/Fy9epVSpUphY2NTpPZP+/bbb8nKyqJMmTLo6+szaNAgtm3bhouLi9rGwcEBOzu7Yvf9ww8/8P777xe5vUaj4cCBA5w5cwZTU1MMDAxYtGgRe/fuxdLSUm3n7OxM2bJlix1P+fLlefToEX///Xexr30Zrl+/Ts+ePbl//z5eXl7cu3ePnj17cv369Xzbz549G3Nzc/UhO4mFEEIIIYQQQryJJCEsxDPi4+PJysqiYcOG6jFdXV3q1atHbGxsvtfExMQQFhaGiYmJ+vDx8SEnJ4crV64QGxtL6dKleffdd9VrcndX5vZZr149qlevTnh4OPAkqero6EiTJk3yHbN69erqWLk3z4qNjcXDwwNjY2O1XcOGDcnJySEuLi5PH5cvXyYjI4P33ntPK/Z169YRHx+v9unt7Y1Go9HqMy0tjb/++guAAQMG8NNPP6mJsrCwMAICArSuyXXkyBGtsTZs2MCff/5JVlYW9erVU9uZm5urJRoKEhQUpCaib968yZ49e9QEemxsLJmZmbRs2TLfa2NiYrh8+TKmpqZqLFZWVjx8+FCdO0CNGjW06gYXd43z8+DBA/T19fNdn+eZOHEi9+/f58CBA5w8eZKRI0fSvXt3fv/9d7XNunXrmD17drH6TUlJ4fDhw8VKCCuKwscff4yNjQ1HjhzhxIkTdOrUiQ4dOmjt3I6IiCjWDupchoaGwJOawyUhISGBoKAgVqxYgampKStWrCAoKEirrMjTxo8fT3Jysvq4du3a6w1YCCGEEEIIIYQoArmpnBAvQVpaGoMGDSIkJCTPOQcHB7VW8PMEBQXxxRdfMG7cOEJDQ+nXr1+BScPdu3eTlZUF/F/i7EXiBti1axcVKlTQOldYbddneXp64uHhwbp162jdujXnz59n1678b1pTp04doqOj1eflypXjzz//LH7wPLnB2rhx4/jtt9/49ddfqVSpEo0bNwaevyZpaWnUrl2bDRs25DlnbW2t/vvpxO/LUrZsWTIyMop9k7r4+HiWLVvGuXPnqF69OgAeHh4cOXKEL774gi+//PKFY9qzZw/VqlUr1q7Wn3/+mZ07d3Lv3j21zMTy5cvZv38/4eHh6s3pXlRuiZanX4/X6ekPhXIVVt9ZX1+/WD83QgghhBBCCCFESZAdwkI8w9nZGT09PSIjI9VjWVlZREVFUa1atXyv8fLy4sKFC7i4uOR56Onp4e7uzuPHjzl+/Lh6zZ07d4iLi9Pq88MPP+Tq1assXbqUCxcu4O/vX2Ccjo6O6hi5yVx3d3diYmK0bmYXGRmJjo5Ovrttq1Wrhr6+PomJiXnizk0Muru7qzWPn+7T1NSUihUrqseCgoIICwsjNDSUVq1aFZhYNDQ01BrH1NSUypUro6urq3XjvuTkZC5evFjg/OHJLutOnToRGhpKWFgY/fr1U8+5urpiaGhIREREvtd6eXlx6dIlbGxs8sy9sBuvFXeN81OrVi0ALly4UKT2uXJ3yuroaP/qLlWqFDk5OcXq61k//PADHTt2fCnx6Ojo/Ot4AM6dO0fFihVfqNzEy/Z0GREhhBBCCCGEEOJtJjuEhXiGsbExH330EaNHj8bKygoHBwfmzZtHRkYGgYGB+V4zduxY6tevT3BwMEFBQRgbG3PhwgX279/PsmXLcHV1pWPHjgwYMICVK1diamrKuHHjqFChglYSztLSki5dujB69Ghat26tlXAtij59+jB58mT8/f2ZMmUK//zzD0OHDsXPz0+9mdrTTE1NGTVqFCNGjCAnJ4dGjRqRnJxMZGQkZmZm+Pv7M2TIEBYvXszQoUMJDg4mLi6OyZMnM3LkSK1EYO/evRk1ahSrV69m3bp1xYrb1NQUf39/dc1tbGyYPHkyOjo6zy2rEBQURPv27cnOztZKoBsYGDB27FjGjBmDnp4eDRs25J9//uH8+fMEBgbSp08f5s+fT8eOHZk2bRoVK1bk6tWrbN26lTFjxhS49sVd4/xYW1vj5eXF0aNH1eQwPNkRm5iYyI0bNwDUEhS2trbY2tpStWpVXFxcGDRoEAsWLKBMmTJs375dveFdrr59+1KhQgWtshG5u7LT0tL4559/iI6ORk9Pj2rVqvH48WP27NnDqFGjtOL8+++/+fvvv7l8+TIAv//+O6ampjg4OGBlZYW3tzeWlpb4+/szadIkDA0NWb16NVeuXKFdu3ZqPy1btqRz585q2YhHjx6pyfBHjx5x/fp1oqOjMTEx0aqFfOTIEVq3bl2kNX2exMREdX2zs7PV9XBxccHExOSljCGEEG+DhDntnt9ICCGEEEL8d1OEEHk8ePBAGTp0qFK2bFlFX19fadiwoXLixAn1/MGDBxVAuXfvnnrsxIkTynvvvaeYmJgoxsbGSs2aNZWZM2eq5+/evav4+fkp5ubmiqGhoeLj46NcvHgxz9gREREKoHz77bdax69cuaIAypkzZwqN/ezZs0rz5s0VAwMDxcrKShkwYICSmpqqnvf391c6duyoPs/JyVEWL16suLm5Kbq6uoq1tbXi4+OjHD58WG1z6NAhpW7duoqenp5ia2urjB07VsnKysoztp+fn2JlZaU8fPhQ6/jkyZMVDw+PQuNOSUlRevfurRgZGSm2trbKokWLlHr16injxo1T2zg6OiqfffaZ1nU5OTmKo6Oj0rZt2zx9ZmdnKzNmzFAcHR0VXV1dxcHBQZk1a5Z6PikpSenbt6/6OleuXFkZMGCAkpycnO9a5SruGudn+fLlSv369bWOhYaGKkCex+TJk9U2Fy9eVLp06aLY2NgoRkZGSs2aNZV169Zp9dO0aVPF399f61h+/To6OiqKoigHDhxQKlasmCfGyZMn53tdaGio2iYqKkpp3bq1YmVlpZiamir169dXdu/erdWPo6Oj1hxy38vPPpo2baq2efDggWJubq789ttvha7jswpae39//3zHPHjwYJ45P++9WlTJyckKoL6fhBBCCCGEEEKIV6mof4dqFOWp74ELIUrc+vXrGTFiBDdu3ChWfdk3QcuWLalevTpLly79132lp6dToUIFFi5cWODObHiy47VChQqEhobSpUuXfz3u6/LgwQPc3NzYvHkz3t7eJRpLSEgIjx8/Zvny5SUax9NWrFjBtm3b+Omnn4p1XUBAAPfv32f79u0vNO6UKVPYvn27Vp3rF5WSkoK5uTnJyclqjWUhhBBCCCGEEOJVKerfoVIyQog3REZGBklJScyZM4dBgwa9Vcnge/fucejQIQ4dOvTCScUzZ87wxx9/UK9ePZKTk5k2bRpAgXVtc3JyuH37NgsXLsTCwoL333//heMvCYaGhqxbt47bt2+XdCi88847JZ6Ufpauri6ff/75C127c+dOTExM2LRpE+3bty/SNYmJiVSrVo1Hjx4VWCtcCCGEEEIIIYT4byA7hIV4Q0yZMoWZM2fSpEkTfvjhh7eqrqmTkxP37t1j4sSJeerQFtWZM2cICgoiLi4OPT09ateuzaJFi6hRo0a+7RMSEqhUqRIVK1YkLCyMli1b/pspiP8St27dIiUlBQA7OzuMjY2LdN3jx49JSEgAQF9fv8CbIhaH7BAWQgghhBBCCPE6FfXvUEkICyFECXNycmL48OEMHz78tYz3bFmFZs2aUatWLRYvXlzgNWFhYQwfPpz79++/srheRrmGQ4cO0bx5c+7du4eFhcVLi+1FSEJYCCGEEEIIIcTrVNS/Q3VeY0xCCCHeQFu3bmX69Onqcycnp0KTw/9tmjVr9tqS8UIIIYQQQgghREmTGsJCCPE/zsrKqqRDEEII8Zo4jdtV0iG8NRLmtCvpEIQQQgghXgnZISyEEK9Yamoqffr0wdjYGDs7Oz777LMCd6X2798/z43QsrKysLGxYe3atcCTG+rNmzcPFxcX9PX1cXBwYObMmWr733//nRYtWmBoaEiZMmUYOHAgaWlpBcb3dCzNmjXj6tWrjBgxAo1Gg0aj0Wq7b98+3N3dMTExwdfXl6SkJPVcTk4O06ZNo2LFiujr61OrVi327t2rdf1ff/1Fr169sLKywtjYmDp16nD8+HGtNuvXr8fJyQlzc3N69uxJamqqei4zM5OQkBBsbGwwMDCgUaNGREVFFTi3O3fu0KtXLypUqICRkRE1atTgm2++Uc8HBARw+PBhlixZos43t5bwuXPnaNOmDSYmJpQrVw4/P7834iaAQgghhBBCCCHEvyEJYSGEeMVGjhxJZGQkO3bsYP/+/Rw5coTTp0/n2zYoKIi9e/dqJVp37txJRkYGPXr0AGD8+PHMmTOHiRMncuHCBTZu3Ei5cuUASE9Px8fHB0tLS6Kiovjuu+84cOAAwcHBRYp169atVKxYkWnTppGUlKQVR0ZGBgsWLGD9+vX88ssvJCYmat1EcMmSJSxcuJAFCxZw9uxZfHx8eP/997l06RIAaWlpNG3alOvXr7Njxw5iYmIYM2YMOTk5ah/x8fFs376dnTt3snPnTg4fPsycOXPU82PGjGHLli2Eh4dz+vRpXFxc8PHx4e7du/nO5+HDh9SuXZtdu3Zx7tw5Bg4ciJ+fHydOnFBj9vb2ZsCAAep87e3tuX//Pi1atMDT05OTJ0+yd+9ebt68Sffu3Qtcu8zMTFJSUrQeQgghhBBCCCHEm0ZKRgghxCuUmppKeHg4GzdupGXLlgCEhoZSvnz5fNs3aNAANzc31q9fz5gxY9T23bp1w8TEhNTUVJYsWcKyZcvw9/cHwNnZmUaNGgGwceNGHj58yLp16zA2NgZg2bJldOjQgblz56qJ44JYWVlRqlQpTE1NsbW11TqXlZXFl19+ibOzMwDBwcFMmzZNPb9gwQLGjh1Lz549AZg7dy4HDx5k8eLFfPHFF2zcuJF//vmHqKgotUyFi4uL1hg5OTmEhYVhamoKgJ+fHxEREcycOZP09HRWrFhBWFgYbdq0AWD16tXs37+ftWvXMnr06DzzqVChglbSeujQoezbt49vv/2WevXqYW5ujp6eHkZGRlrzXbZsGZ6ensyaNUs99tVXX2Fvb8/FixepUqVKnrFmz57N1KlTC11fIYQQQgghhBCipMkOYSGEeIX+/PNPsrKyqFevnnrM3NwcNze3Aq8JCgoiNDQUgJs3b7Jnzx769+8PQGxsLJmZmWpy+VmxsbF4eHioyWCAhg0bkpOTQ1xc3L+ai5GRkZoMBrCzs+PWrVvAkzuZ3rhxg4YNG2pd07BhQ2JjYwGIjo7G09Oz0JrFTk5OajL42THi4+PJysrSGkNXV5d69eqpYzwrOzub6dOnU6NGDaysrDAxMWHfvn0kJiYWOteYmBgOHjyIiYmJ+qhataoaR37Gjx9PcnKy+rh27VqhYwghhBBCCCGEECVBdggLIcQbpm/fvowbN47ffvuNX3/9lUqVKtG4cWMADA0NSywuXV1drecajQZFUYp8fVFiz2+Mp0tKFNf8+fNZsmQJixcvpkaNGhgbGzN8+HAePXpU6HVpaWnqrupn2dnZ5XuNvr4++vr6LxyrEEIIIYQQQgjxOkhCWAghXqHKlSujq6tLVFQUDg4OACQnJ3Px4kWaNGmS7zVlypShU6dOhIaG8ttvv9GvXz/1nKurK4aGhkRERBAUFJTnWnd3d8LCwkhPT1d3CUdGRqKjo1PoruSn6enpkZ2dXax5mpmZUb58eSIjI2natKl6PDIyUt0dXbNmTdasWcPdu3cL3SVcEGdnZ/T09IiMjMTR0RF4UsYiKioq3xv05Y7fsWNHPvzwQ+BJSYqLFy9SrVo1tU1+8/Xy8mLLli04OTlRurT8VymE+O+RMKddSYcghBBCCCFKmJSMEEKIV8jU1BR/f39Gjx7NwYMHOX/+PIGBgejo6KDRaAq8LigoiPDwcGJjY9VawQAGBgaMHTuWMWPGsG7dOuLj4zl27Bhr164FoE+fPhgYGODv78+5c+c4ePAgQ4cOxc/P77n1g3M5OTnxyy+/cP36dW7fvl3kuY4ePZq5c+eyefNm4uLiGDduHNHR0QwbNgyAXr16YWtrS6dOnYiMjOTPP/9ky5Yt/Pbbb0Xq39jYmI8++ojRo0ezd+9eLly4wIABA8jIyCAwMDDfa1xdXdm/fz+//vorsbGxDBo0iJs3b+aZ7/Hjx0lISOD27dvk5OTw8ccfc/fuXXr16kVUVBTx8fHs27ePfv36FTtZLoQQQgghhBBCvElk25MQQrxiixYtYvDgwbRv3x4zMzPGjBnDtWvXMDAwKPCaVq1aYWdnR/Xq1fPcgG7ixImULl2aSZMmcePGDezs7Bg8eDDwpM7vvn37GDZsGHXr1sXIyIiuXbuyaNGiIsc7bdo0Bg0ahLOzM5mZmUUuCxESEkJycjKffPIJt27dolq1auzYsQNXV1fgyU7cn376iU8++YS2bdvy+PFjqlWrxhdffFHk2ObMmUNOTg5+fn6kpqZSp04d9u3bh6WlZb7tJ0yYwJ9//omPjw9GRkYMHDiQTp06kZycrLYZNWoU/v7+VKtWjQcPHnDlyhWcnJyIjIxk7NixtG7dmszMTBwdHfH19UVHRz5LFUIIIYQQQgjx9tIoxSkAKYQQ4l9LT0+nQoUKLFy4sMCdrWlpaVSoUIHQ0FC6dOnymiMUL0NKSgrm5uYkJydjZmZW0uEIIYQQQgghhPgvV9S/Q2WHsBBCvGJnzpzhjz/+oF69eiQnJzNt2jQAOnbsmKdtTk4Ot2/fZuHChVhYWPD++++/7nCFEEIIIYQQQgjxX0y+9yrEWyQhIQGNRkN0dHRJh1JkGo2G7du3v1H9NWvWrMCbkL0qCxYswMXFhaZNm5Kens6RI0coW7ZsnnaJiYmUK1eOjRs38tVXX5XIDc3exvdZYcLCwrCwsCi0zZQpU6hVq9ZriUcIIYQQQgghhChJkhAW4hX45Zdf6NChA+XLly8wgbl161Zat25NmTJlXmvy7WUnaHMVlFBLSkqiTZs2L328t4mnpyenTp0CYP369ezfv58aNWrk29bJyQlFUbh27RotW7Z8nWH+1+rRowcXL14s6TCEEEIIIYQQQog3gpSMEOIVSE9Px8PDg/79+xdY/zU9PZ1GjRrRvXt3BgwY8JojfH1sbW1LOgTxlsrKykJXV/df92NoaIihoeFLiEgIId5+TuN2lXQILyxhTruSDkEIIYQQ4r+C7BAW4hVo06YNM2bMoHPnzgW28fPzY9KkSbRq1eqFx8nOzqZ///5UrVqVxMREAH744Qe8vLwwMDCgcuXKTJ06lcePHwNPdp8CdO7cGY1Goz4HWLFiBc7Ozujp6eHm5sb69eu1xrp//z5BQUFYW1tjZmZGixYtiImJAZ58JX/q1KnExMSg0WjQaDSEhYUBeXck//7777Ro0QJDQ0PKlCnDwIEDSUtL0xrrq6++onr16ujr62NnZ0dwcLDW+du3b9O5c2eMjIxwdXVlx44dWucPHz5MvXr11OvHjRunrkF+1q9fT506dTA1NcXW1pbevXtz69Yt9fyhQ4fQaDRERERQp04djIyMaNCgAXFxcVr9PG8Nn/W8tQgICKBTp04sWLAAOzs7ypQpw8cff0xWVpbaJjMzk1GjRlGhQgWMjY159913OXToUKHj/vHHHzRq1AgDAwOqVavGgQMHCt05nl/Jhe3bt6PRaLSO/fjjj9StWxcDAwPKli2r9f7Pr38LCwv1fZJbpmLz5s00bdoUAwMDNmzYQE5ODtOmTaNixYro6+tTq1Yt9u7dq/aRe93WrVtp3rw5RkZGeHh48NtvvxUa/5w5cyhXrhympqYEBgby8OHDPPNes2YN7u7uGBgYULVqVZYvX17AigohhBBCCCGEEG8PSQgL8ZbKzMykW7duREdHc+TIERwcHDhy5Ah9+/Zl2LBhXLhwgZUrVxIWFsbMmTMBiIqKAiA0NJSkpCT1+bZt2xg2bBiffPIJ586dY9CgQfTr14+DBw+q43Xr1o1bt26xZ88eTp06hZeXFy1btuTu3bv06NGDTz75hOrVq5OUlERSUhI9evTIE3N6ejo+Pj5YWloSFRXFd999x4EDB7QSvitWrODjjz9m4MCB/P777+zYsQMXFxetfqZOnUr37t05e/Ysbdu2pU+fPty9exeA69ev07ZtW+rWrUtMTAwrVqxg7dq1zJgxo8C1zMrKYvr06cTExLB9+3YSEhIICAjI0+7TTz9l4cKFnDx5ktKlS9O/f3/1XFHWsLhrAXDw4EHi4+M5ePAg4eHhhIWFqUlUgODgYH777Tc2bdrE2bNn6datG76+vly6dCnfcbOzs+nUqRNGRkYcP36cVatW8emnnxa4NkW1a9cuOnfuTNu2bTlz5gwRERHUq1ev2P2MGzeOYcOGERsbi4+PD0uWLGHhwoUsWLCAs2fP4uPjw/vvv59nfp9++imjRo0iOjqaKlWq0KtXrwI/BPj222+ZMmUKs2bN4uTJk9jZ2eVJ9m7YsIFJkyYxc+ZMYmNjmTVrFhMnTiQ8PLzYcxJCCCGEEEIIId4kUjJCiLdQWloa7dq1IzMzk4MHD2Jubg48SZSOGzcOf39/ACpXrsz06dMZM2YMkydPxtraGniyM/PpUg4LFiwgICCAIUOGADBy5EiOHTvGggULaN68OUePHuXEiRPcunULfX199Zrt27fz/fffM3DgQExMTChdunShJSI2btzIw4cPWbduHcbGxgAsW7aMDh06MHfuXMqVK8eMGTP45JNPGDZsmHpd3bp1tfoJCAigV69eAMyaNYulS5dy4sQJfH19Wb58Ofb29ixbtgyNRkPVqlW5ceMGY8eOZdKkSejo5P0c7OnEbuXKlVm6dCl169YlLS0NExMT9dzMmTNp2rQp8CRx2a5dOx4+fIiBgcFz1/BF1gLA0tKSZcuWUapUKapWrUq7du2IiIhgwIABJCYmEhoaSmJiIuXLlwdg1KhR7N27l9DQUGbNmpVn3P379xMfH8+hQ4fU12rmzJm89957Bb5uRTFz5kx69uzJ1KlT1WMeHh7F7mf48OFaZVYWLFjA2LFj6dmzJwBz587l4MGDLF68mC+++EJtN2rUKNq1e/JV4qlTp1K9enUuX75M1apV84yxePFiAgMDCQwMBGDGjBkcOHBAa5fw5MmTWbhwoRpLpUqV1A9Zcn++npWZmUlmZqb6PCUlpdjzF0IIIYQQQgghXjXZISzEG2rw4MGYmJioj6f16tWL9PR0fvrpJzUZDBATE8O0adO0rhswYABJSUlkZGQUOFZsbCwNGzbUOtawYUNiY2PVftPS0ihTpoxW31euXCE+Pr7Ic4qNjcXDw0NNgOaOk5OTQ1xcHLdu3eLGjRvPvZlazZo11X8bGxtjZmamlniIjY3F29tbq5xBw4YNSUtL46+//sq3v1OnTtGhQwccHBwwNTVVk765ZTjyG9fOzg5Aa9zC1rC4a5GrevXqlCpVSmvc3DF///13srOzqVKlitbrcvjw4QJfl7i4OOzt7bUS9y+yk/dZ0dHRL+UmeHXq1FH/nZKSwo0bN4q0roW9Ns+KjY3l3Xff1Trm7e2t/js9PZ34+HgCAwO11nXGjBmFvt9nz56Nubm5+rC3t3/ObIUQQgghhBBCiNdPdggL8YaaNm0ao0aNyvdc27Zt+frrr/ntt99o0aKFejwtLY2pU6fmeyM7AwODF44lLS0NOzu7fGvTPlub9d8o6o2/nr3RmEajIScn54XGzC3d4OPjw4YNG7C2tiYxMREfHx8ePXpU4Li5CecXHbeoCptrWloapUqV4tSpU1pJYyDPhwj/ho6ODoqiaB17uo4xPP+102g0z+0D0EqQF8fLfG1y6zivXr06T+L42XV+2vjx4xk5cqT6PCUlRZLCQgghhBBCCCHeOLJDWIg3lI2NDS4uLurjaR999BFz5szh/fff5/Dhw+pxLy8v4uLitK7LfeSWStDV1SU7O1urP3d3dyIjI7WORUZGUq1aNbXfv//+m9KlS+fpt2zZsgDo6enl6fdZ7u7uxMTEkJ6erjWOjo4Obm5umJqa4uTkRERERDFXS3uM3377TSv5GBkZiampKRUrVszT/o8//uDOnTvMmTOHxo0bU7Vq1QJ3lj5v3MLWML/2ha1FUXh6epKdnc2tW7fyvC4Fle5wc3Pj2rVr3Lx5Uz2WW0u6INbW1qSmpmrFGh0drdWmZs2ahb5u1tbWJCUlqc8vXbpU6K51ADMzM8qXL1+sdS0Kd3d3jh8/rnXs2LFj6r/LlStH+fLl+fPPP/Osa6VKlQrsV19fHzMzM62HEEIIIYQQQgjxppEdwkK8AmlpaVy+fFl9fuXKFaKjo7GyssLBwQGAu3fvkpiYyI0bNwDUMgG2traF1uHNNXToULKzs2nfvj179uyhUaNGTJo0ifbt2+Pg4MAHH3yAjo4OMTExnDt3Tr2pWm7CtWHDhujr62Npacno0aPp3r07np6etGrVih9//JGtW7dy4MABAFq1aoW3tzedOnVi3rx5VKlShRs3bqg3EqtTpw5OTk7qPCtWrIipqalabzhXnz59mDx5Mv7+/kyZMoV//vmHoUOH4ufnp9bMnTJlCoMHD8bGxoY2bdqQmppKZGQkQ4cOLdLaDxkyhMWLFzN06FCCg4OJi4tj8uTJjBw5Mt/6wQ4ODujp6fH5558zePBgzp07x/Tp04s01tOet4bPKspaPE+VKlXo06cPffv2ZeHChXh6evLPP/8QERFBzZo11Zq6T3vvvfdwdnbG39+fefPmkZqayoQJEwC0ymw87d1338XIyIj//Oc/hISEcPz4ca0b28GTmrstW7bE2dmZnj178vjxY3bv3s3YsWMBaNGiBcuWLcPb25vs7GzGjh2bZ/dzfkaPHs3kyZNxdnamVq1ahIaGEh0dzYYNG4q0RvkZNmwYAQEB1KlTh4YNG7JhwwbOnz9P5cqV1TZTp04lJCQEc3NzfH19yczM5OTJk9y7d09rF7AQQrxtEubk/b9BCCGEEEL8j1GEEC/dwYMHFSDPw9/fX20TGhqab5vJkycX2O+VK1cUQDlz5ox6bOHChYqpqakSGRmpKIqi7N27V2nQoIFiaGiomJmZKfXq1VNWrVqltt+xY4fi4uKilC5dWnF0dFSPL1++XKlcubKiq6urVKlSRVm3bp3W2CkpKcrQoUOV8uXLK7q6uoq9vb3Sp08fJTExUVEURXn48KHStWtXxcLCQgGU0NBQRVEUBVC2bdum9nP27FmlefPmioGBgWJlZaUMGDBASU1N1Rrryy+/VNzc3BRdXV3Fzs5OGTp0qHru2f4URVHMzc3V8RRFUQ4dOqTUrVtX0dPTU2xtbZWxY8cqWVlZ6vmmTZsqw4YNU59v3LhRcXJyUvT19RVvb29lx44dWuuc+3reu3dPvebMmTMKoFy5cqXIa1jctfD391c6duyo1cewYcOUpk2bqs8fPXqkTJo0SXFyclLXq3PnzsrZs2eVgsTGxioNGzZU9PT0lKpVqyo//vijAih79+5VFCX/99m2bdsUFxcXxdDQUGnfvr2yatUq5dn/QrZs2aLUqlVL0dPTU8qWLat06dJFPXf9+nWldevWirGxseLq6qrs3r1b63XLb0xFUZTs7GxlypQpSoUKFRRdXV3Fw8ND2bNnj3o+v+vu3bunAMrBgwcVRXnys2Zubq7V78yZM5WyZcsqJiYmir+/vzJmzBjFw8NDq82GDRvU+VhaWipNmjRRtm7dWuC6Pis5OVkBlOTk5CJfI4QQQgghhBBCvKii/h2qUZRnijoKIYT4nxIZGUmjRo24fPkyzs7OJR3Of42UlBTMzc1JTk6W8hFCCCGEEEIIIV65ov4dKiUjhBDif8y2bdswMTHB1dWVy5cvM2zYMBo2bCjJYCGEEEIIIYQQ4n+AJISFEOJ/TGpqKmPHjiUxMZGyZcvSqlUrFi5cWNJhCSGEEEIIIYQQ4jXIe4clIYQohoSEBDQaDdHR0W9Fv29rHMXVrFkzhg8fnu+5vn37cvHiRR4+fMgz+g+KAAEAAElEQVRff/1FWFgYZcqUeSVxhIWFYWFh8dx2Go2G7du3v5IYntWkSRM2btxY5Pa3b9/GxsaGv/766xVGJYQQQgghhBBCvB6SEBZCqFasWEHNmjUxMzPDzMwMb29v9uzZU9Jh/VeYMmUKtWrVKukwXrsePXpw8eJF9XlB65CUlESbNm1eeTw7duzg5s2b9OzZUz22atUqmjVrhpmZGRqNhvv372tdU7ZsWfr27cvkyZNfeXxCCCGEEEIIIcSrJiUjhBCqihUrMmfOHFxdXVEUhfDwcDp27MiZM2eoXr16SYenRVEUsrOzKV36f+vX2KNHj9DT0yvpMIoch6GhIYaGhs9tZ2tr+zLCeq6lS5fSr18/dHT+7/PQjIwMfH19+X/s3XdYlfX/+PHnEWQPcTGUoYKIpIjiAAduXOTeqYCQZoQjUMhU3GZuzW2AhqnliNLs48IUt4YjCJVETFFLXIAiyvn94Y/765EhmIbW63Fd57q47/s9Xvf7YF28zvu87g4dOhAWFlZgP19fXxo0aMDnn39O+fLl/5FYhRDidbAL3V7aIYg3QMqszqUdghBCCCFKkewQFkIovL296dSpEw4ODtSsWZPp06djZGTEkSNHXtj3999/p1WrVhgYGODi4sLhw4cByMzMxMTEhG+//Vaj/bZt2zA0NOT+/fsAHDt2DFdXV/T09HBzc+OXX37RaB8bG4tKpeLHH3+kQYMG6OrqcvDgQbKzswkKCqJy5cro6enRrFkzjh8/DsDDhw9xdnbm/fffV8ZJTk7G2NiYL7/8stixAfz22294eHigp6fHO++8w/79+5VrBZVF2LZtGyqVSrk+efJkTp8+jUqlQqVSERkZiZ+fH126dNHol5OTQ+XKlVmzZg3wtPRDYGAgo0aNomLFinh5eRWr3/Oys7MZN24c1tbW6OrqYm9vr7R98uQJQ4cOpVq1aujr6+Po6MjChQs1+vv4+NCtWzemT5+OlZUVjo6OSjmNLVu2FPjeP782ha0DaJaMKM64AAcPHqR58+bo6+tjbW1NUFAQmZmZBd4/wJ9//snevXvx9vbWOD9q1ChCQ0Np0qRJoX2dnZ2xsrJi69athbYRQgghhBBCCCHeBpIQFkIU6MmTJ2zYsIHMzEzc3d1f2H78+PEEBwcTHx9PzZo16d+/P48fP8bQ0JB+/foRERGh0T4iIoJevXphbGxMRkYGXbp0oXbt2pw8eZLw8HCCg4MLnCc0NJRZs2aRmJhI3bp1GTt2LJs3byYqKopTp05hb2+Pl5cX6enp6OnpER0dTVRUFN999x1Pnjzhvffeo127dvj5+RUrtjwhISF8/PHH/PLLL7i7u+Pt7c2tW7eKtZZ9+/bl448/xtnZmbS0NNLS0ujbty/+/v7s3LmTtLQ0pe0PP/xAVlYWffv2Vc5FRUWho6NDXFwcy5cvL3a/Zw0ePJivv/6aRYsWkZiYyIoVKzAyMgIgNzeXqlWr8s0335CQkMDEiRP55JNP2LRpk8YYe/bsISkpiV27dvHDDz8o5wt774u7DoUpatzk5GQ6dOhAz549OXPmDBs3buTgwYMEBgYWOt7BgwcxMDDAycmp0DZFadSoEQcOHHipvkIIIYQQQgghxJviv/VdayHEC509exZ3d3cePnyIkZERW7dupXbt2i/sFxwcTOfOT79+OHnyZJydnbl48SK1atXC398fDw8P0tLSsLS05ObNm+zYsYPdu3cDsH79enJzc1mzZg16eno4Ozvzxx9/8MEHH+SbZ8qUKbRr1w54uvt42bJlREZGKvVnV61axa5du1izZg0hISHUq1ePadOm4e/vT79+/bh8+bJGMvNFseUJDAykZ8+ewNNayzt37mTNmjWMHTv2hWujr6+PkZER2traGqURPDw8cHR0ZN26dco4ERER9O7dW0nWAjg4ODB79myNMYvTL8/58+fZtGkTu3btom3btgBUr15duV62bFkmT56sHFerVo3Dhw+zadMm+vTpo5w3NDRk9erVSqmIlJQUoOj3vjjrUJiixp05cyYDBw5UHpzn4ODAokWL8PT0ZNmyZejp6eUb7/Lly5ibm2uUiygJKyurfDvXn5WdnU12drZyfO/evZeaRwghhBBCCCGEeJ1kh7AQQoOjoyPx8fEcPXqUDz74gCFDhpCQkADA8OHDMTIyUl7Pqlu3rvKzpaUlADdv3gSe7qx0dnYmKioKgK+++gpbW1tatGgBoOz2fTaJV9iuZDc3N+Xn5ORkcnJyaNq0qXKubNmyNGrUiMTEROXcxx9/TM2aNVmyZAlffvklFSpUUK69KLaC4tHW1sbNzU1jjpfl7++v7FC+ceMGP/74I35+fhptGjRo8FL98sTHx6OlpYWnp2ehcXzxxRc0aNCASpUqYWRkxMqVK0lNTdVoU6dOnQLrBhf13v8dRY17+vRpIiMjNX4fvby8yM3N5dKlSwWO9+DBgwITxcWlr69PVlZWoddnzpyJqamp8rK2tn7puYQQQgghhBBCiNdFEsJCCA06OjrY29vToEEDZs6ciYuLi1JPdsqUKcTHxyuvZ5UtW1b5Oa92bm5urnLO399fqRcbERGBr6+v0q4kDA0NS9zn5s2bnD9/Hi0tLS5cuJDv+t+NrUyZMqjVao1zOTk5xeo7ePBgfv/9dw4fPsxXX31FtWrVaN68uUabgu65OP3yvOihbhs2bCA4OJihQ4fyv//9j/j4eHx9fXn06NEL44AXv/cvq6hxMzIyGDZsmMbv4+nTp7lw4QI1atQocLyKFSty+/btl44nPT2dSpUqFXo9LCyMu3fvKq8rV6689FxCCCGEEEIIIcTrIglhIUSRcnNzla/BV65cGXt7e+VVEu+99x6XL19m0aJFJCQkMGTIEOWak5MTZ86c4eHDh8q54jzIrkaNGkpt3Tw5OTkcP35co8yFn58fderUISoqinHjxuXb2VtUbAXF8/jxY06ePKnUoq1UqRL379/XeKDZ8wlzHR0dnjx5km/cChUq0K1bNyIiIoiMjMTX1/eF913SfnXq1CE3N1fjQXjPiouLw8PDgxEjRuDq6oq9vT3JycnFiqOkCluHkqpfvz4JCQkav495r4J2MQO4urpy/fr1l04Knzt3DldX10Kv6+rqYmJiovESQgghhBBCCCHeNFJDWAihCAsLo2PHjtjY2HD//n3Wr19PbGwsP/30098e28zMjB49ehASEkL79u2pWrWqcm3AgAGMHz+egIAAwsLCSElJYc6cOS8c09DQkA8++ICQkBDKly+PjY0Ns2fPJisri6FDhwJPSyEcPnyYM2fOYG1tzfbt2xk4cCBHjhxREodFxZbniy++wMHBAScnJ+bPn8/t27eVEg2NGzfGwMCATz75hKCgII4eParsOM5jZ2fHpUuXiI+Pp2rVqhgbG6Orqws83aHcpUsXnjx5UmAyujDF7WdnZ8eQIUPw8/Nj0aJFuLi4cPnyZW7evEmfPn1wcHBg7dq1/PTTT1SrVo1169Zx/PhxqlWrVuxYiquodSiJcePG0aRJEwIDA/H398fQ0JCEhAR27drFkiVLCuzj6upKxYoViYuLo0uXLsr569evc/36dS5evAg8raNtbGyMjY0N5cuXByArK4uTJ08yY8aMl7hrIYR4c6TM6lzaIQghhBBCiFImO4SFEIqbN28yePBgHB0dadOmDcePH+enn35SHuL2dw0dOpRHjx7lq3VrZGTE999/z9mzZ3F1dWX8+PF89tlnxRpz1qxZ9OzZk0GDBlG/fn0uXrzITz/9hJmZGb/99hshISEsXbpUqee6dOlS/vrrLyZMmFCs2J6dZ9asWbi4uHDw4EFiYmKoWLEiAOXLl+err75ix44d1KlTh6+//prw8HCN/j179qRDhw60atWKSpUq8fXXXyvX2rZti6WlJV5eXlhZWRXrvkvab9myZfTq1YsRI0ZQq1YtAgIClB3Nw4YNo0ePHvTt25fGjRtz69YtRowYUew4SqKodSiJunXrsn//fs6fP0/z5s1xdXVl4sSJRa6DlpYWvr6+REdHa5xfvnw5rq6uBAQEANCiRQtcXV2JiYlR2nz33XfY2NgUWpZDCCGEEEIIIYR4W6jUzxe+FEKI12TdunWMHj2aa9euFfq1/tJSmrFlZGRQpUoVIiIi6NGjx2vv9192/fp1nJ2dOXXqFLa2tsXu16RJE4KCghgwYECx+9y7dw9TU1Pu3r0r5SOEEEIIIYQQQrx2xf07VEpGCCFeu6ysLNLS0pg1axbDhg17o5LBpRlbbm4uf/31F3PnzqVcuXK8++67r7WfAAsLC9asWUNqamqxE8J//fUXPXr0oH///q85OiGEEEIIIYQQ4vWTkhFCiNdu9uzZ1KpVCwsLC8LCwko7HA2lGVtqairm5uasX7+eL7/8Em3t4n1G97L9xFPdunUrUemHihUrMnbsWFQq1WuMSgghhBBCCCGE+GdIyQghhPiPiI2NpVWrVty+fZty5cr9I3OmpKRQrVo1fvnlF+rVq/fC9j4+Pty5c4dt27a99JyRkZGMGjWKO3fuABAeHs62bduIj49/6TFfhpSMEEIIIYQQQgjxTyru36GyQ1gIIcS/WnBwMHv27CntMIQQQgghhBBCiDeCfM9YCCHEv5qRkRFGRkalHYb4F7ML3V7aIQhRbCmzOpd2CEIIIYQQopTJDmEhhPgXyc7OJigoiMqVK6Onp0ezZs04fvx4oe0PHjxI8+bN0dfXx9ramqCgIDIzM5Xrt2/fZvDgwZiZmWFgYEDHjh25cOECAJmZmZiYmPDtt99qjLlt2zYMDQ25f/9+gXP++uuvdOnSBRMTE4yNjWnevDnJyckabebMmYOlpSUVKlTgww8/JCcnp1gxFSQ8PFyjXIWPjw/dunUrco7s7GyCg4OpUqUKhoaGNG7cmNjY2ELnEEIIIYQQQggh3haSEBZCiH+RsWPHsnnzZqKiojh16hT29vZ4eXmRnp6er21ycjIdOnSgZ8+enDlzho0bN3Lw4EECAwOVNj4+Ppw4cYKYmBgOHz6MWq2mU6dO5OTkYGhoSL9+/YiIiNAYNyIigl69emFsbJxvzqtXr9KiRQt0dXXZu3cvJ0+exM/Pj8ePHytt9u3bR3JyMvv27SMqKorIyEgiIyOLFVNxvWiOwMBADh8+zIYNGzhz5gy9e/emQ4cORSaehRBCCCGEEEKIt4E8VE4IIf4lMjMzMTMzIzIykgEDBgCQk5ODnZ0do0aNomHDhhoPlfP390dLS4sVK1YoYxw8eBBPT08yMzO5cuUKNWvWJC4uDg8PDwBu3bqFtbU1UVFR9O7dm2PHjuHh4cGVK1ewtLTk5s2bVKlShd27d+Pp6ZnvoXKffPIJGzZsICkpibJly+a7Bx8fH2JjY0lOTkZLSwuAPn36UKZMGTZs2MCFCxdeGNOLHir3ojlSU1OpXr06qampWFlZKbG1bduWRo0aMWPGjALXPzs7m+zsbOX43r17WFtby0Pl/gOkZIR4m0jJCCGEEEKIfy95qJwQQvzHJCcnk5OTQ9OmTZVzZcuWpVGjRiQmJuZrf/r0aSIjI5Uau0ZGRnh5eZGbm8ulS5dITExEW1ubxo0bK30qVKiAo6OjMl6jRo1wdnYmKioKgK+++gpbW1tatGhRYIzx8fE0b968wGRwHmdnZyVRCyiJZqBYMRVHUXOcPXuWJ0+eULNmTY212b9/f77SFs+aOXMmpqamysva2rrY8QghhBBCCCGEEP8UeaicEEL8R2VkZDBs2DCCgoLyXbOxsSl2eQR/f3+++OILQkNDiYiIwNfXF5VKVWBbfX39F473fLJYpVKRm5tbrFiKq6g5MjIy0NLS4uTJkxpJY6DIh9OFhYUxZswY5Thvh7AQQgghhBBCCPEmkR3CQgjxL1GjRg10dHSIi4tTzuXk5HD8+HFq166dr339+vVJSEjA3t4+30tHRwcnJyceP37M0aNHlT63bt0iKSlJY7z33nuPy5cvs2jRIhISEhgyZEihMdatW5cDBw6UqN7vs4ob09/h6urKkydPuHnzZr51sbCwKLSfrq4uJiYmGi8hhBBCCCGEEOJNIzuEhRDiX8LQ0JAPPviAkJAQypcvj42NDbNnzyYrK4uhQ4dy+vRpjfbjxo2jSZMmBAYG4u/vj6GhIQkJCezatYslS5bg4OBA165dCQgIYMWKFRgbGxMaGkqVKlXo2rWrMo6ZmRk9evQgJCSE9u3bU7Vq1UJjDAwMZPHixfTr14+wsDBMTU05cuQIjRo1wtHR8YX3WNyY/o6aNWsycOBABg8ezNy5c3F1deXPP/9kz5491K1bl86dpf6m0CQ1WYUQQgghhBBvE9khLIQQ/yKzZs2iZ8+eDBo0iPr163Px4kV++uknzMzM8rWtW7cu+/fv5/z58zRv3hxXV1cmTpyo8SC1iIgIGjRoQJcuXXB3d0etVrNjx458JReGDh3Ko0eP8PPzKzK+ChUqsHfvXjIyMvD09KRBgwasWrWqyJrCzytuTH9HREQEgwcP5uOPP8bR0ZFu3bpx/PhxbGxsXtkcQgghhBBCCCFEaVCp1Wp1aQchhBDi7bZu3TpGjx7NtWvX0NHRKe1w3gjFfbqrEEIIIYQQQgjxKhT371ApGSGEEOKlZWVlkZaWxqxZsxg2bJgkg4UQQgghhBBCiDeclIwQQgjx0mbPnk2tWrWwsLAgLCystMMRQgghhBBCCCHEC0hCWAgh/mV8fHzo1q3bPzJXeHg4OTk57NmzByMjo5ceR6VSsW3btr8VS8uWLRk1atTfGkMIIYQQQgghhPi3k4SwEEKI/6TY2FhUKhV37twp7VCEEEIIIYQQQoh/jNQQFkKIUpKTk0PZsmVLOwwhhBD/IXah20s7hLdeyqzOpR2CEEIIIcTfIjuEhRDiFbGzs2PBggUa5+rVq0d4eDjwtCzCsmXLePfddzE0NGT69Oncvn2bgQMHUqlSJfT19XFwcCAiIkLpf/bsWVq3bo2+vj4VKlTg/fffJyMjQ7n+5MkTxowZQ7ly5ahQoQJjx45FrVZrxJCbm8vMmTOpVq0a+vr6uLi48O2332q02b9/P40aNUJXVxdLS0tCQ0N5/PgxAGvXrsXIyIgLFy4o7UeMGEGtWrXIyspiypQpvPPOO/nWo169ekyYMEE5/vLLL3F2dlbmCAwM1Gj/119/0b17dwwMDHBwcCAmJqbYMRZk3bp1uLm5YWxsjIWFBQMGDODmzZsApKSk0KpVKwDMzMxQqVT4+PgUe72EEEIIIYQQQoi3lSSEhRDiHxQeHk737t05e/Ysfn5+TJgwgYSEBH788UcSExNZtmwZFStWBCAzMxMvLy/MzMw4fvw433zzDbt379ZIpM6dO5fIyEi+/PJLDh48SHp6Olu3btWYc+bMmaxdu5bly5fz66+/Mnr0aN577z32798PwNWrV+nUqRMNGzbk9OnTLFu2jDVr1jBt2jQABg8eTKdOnRg4cCCPHz9m+/btrF69mujoaAwMDPDz8yMxMZHjx48rc/7yyy+cOXMGX19fAJYtW8aHH37I+++/z9mzZ4mJicHe3l4jzsmTJ9OnTx/OnDmjzJeenl6sGAuSk5PD1KlTOX36NNu2bSMlJUVJ+lpbW7N582YAkpKSSEtLY+HChcVar8JkZ2dz7949jZcQQgghhBBCCPGmkZIRQgjxDxowYICSJAVITU3F1dUVNzc34Oku4zzr16/n4cOHrF27FkNDQwCWLFmCt7c3n332Gebm5ixYsICwsDB69OgBwPLly/npp5+UMbKzs5kxYwa7d+/G3d0dgOrVq3Pw4EFWrFiBp6cnS5cuxdramiVLlqBSqahVqxbXrl1j3LhxTJw4kTJlyrBixQrq1q1LUFAQW7ZsITw8nAYNGgBQtWpVvLy8iIiIoGHDhgBERETg6elJ9erVAZg2bRoff/wxI0eOVGLLa5vHx8eH/v37AzBjxgwWLVrEsWPH6NChQ7FifJ6fn5/yc/Xq1Vm0aBENGzYkIyMDIyMjypcvD0DlypUpV65csderMDNnzmTy5MmFXhdCCCGEEEIIId4EskNYCCH+QXmJ3zwffPABGzZsoF69eowdO5ZDhw4p1xITE3FxcVGSwQBNmzYlNzeXpKQk7t69S1paGo0bN1aua2tra8xx8eJFsrKyaNeuHUZGRspr7dq1JCcnK/O4u7ujUqk05snIyOCPP/4AnpZVWLNmDcuWLaNGjRqEhoZq3EdAQABff/01Dx8+5NGjR6xfv15JyN68eZNr167Rpk2bItembt26ys+GhoaYmJgoJR6KE+PzTp48ibe3NzY2NhgbGyvJ3NTU1EJjKM56FSYsLIy7d+8qrytXrhTZXgghhBBCCCGEKA2yQ1gIIV6RMmXK5Kvfm5OTo3H8bHIXoGPHjly+fJkdO3awa9cu2rRpw4cffsicOXNeSUx59Ya3b99OlSpVNK7p6uqWaKyff/4ZLS0t0tLSyMzMxNjYWLnm7e2Nrq4uW7duRUdHh5ycHHr16gWAvr5+scZ//gF7KpWK3NzcEsWYJ6/chpeXF9HR0VSqVInU1FS8vLx49OhRof3+znrp6uqWeE2FEEIIIYQQQoh/muwQFkKIV6RSpUqkpaUpx/fu3ePSpUvF6jdkyBC++uorFixYwMqVKwFwcnLi9OnTZGZmKm3j4uIoU6YMjo6OmJqaYmlpydGjR5Xrjx8/5uTJk8px7dq10dXVJTU1FXt7e42XtbW1Ms/hw4c1ktlxcXEYGxtTtWpVAA4dOsRnn33G999/j5GRUb4HwmlrazNkyBAiIiKIiIigX79+SiLY2NgYOzs79uzZU+y1fF5xYnzWb7/9xq1bt5g1axbNmzenVq1aym7jPDo6OsDTB/OVZL2EEEIIIYQQQoi3mewQFkKIV6R169ZERkbi7e1NuXLlmDhxIlpaWkX2mThxIg0aNMDZ2Zns7Gx++OEHnJycABg4cCCTJk1iyJAhhIeH8+eff/LRRx8xaNAgzM3NARg5ciSzZs3CwcGBWrVqMW/ePO7cuaOMb2xsTHBwMKNHjyY3N5dmzZpx9+5d4uLiMDExYciQIYwYMYIFCxbw0UcfERgYSFJSEpMmTWLMmDGUKVOG+/fvM2jQIIKCgujYsSNVq1alYcOGeHt7K7uAAfz9/ZXY4+LiNO4zPDyc4cOHU7lyZTp27Mj9+/eJi4vjo48+KtbavijG59nY2KCjo8PixYsZPnw4586dY+rUqRptbG1tUalU/PDDD3Tq1Al9ff1irZcQQrzNUmZ1Lu0QhBBCCCFEKZOEsBBCvCJhYWFcunSJLl26YGpqytSpU1+4Q1hHR4ewsDBSUlLQ19enefPmbNiwAQADAwN++uknRo4cScOGDTEwMKBnz57MmzdP6f/xxx+TlpbGkCFDKFOmDH5+fnTv3p27d+8qbaZOnUqlSpWYOXMmv//+O+XKlaN+/fp88sknAFSpUoUdO3YQEhKCi4sL5cuXZ+jQoXz66afA06SzoaEhM2bMAKBOnTrMmDGDYcOG4e7urpRWcHBwwMPDg/T0dI26xgBDhgzh4cOHzJ8/n+DgYCpWrKiRTH6RF8X4vEqVKhEZGcknn3zCokWLqF+/PnPmzOHdd9/VGHPy5MmEhobi6+vL4MGDiYyMfOF6CSGEEEIIIYQQbzOV+vmCl0IIIcRLUKvVODg4MGLECMaMGVPa4ZS6e/fuYWpqyt27dzExMSntcIQQQgghhBBC/MsV9+9Q2SEshBDib/vzzz/ZsGED169fx9fXt7TDEUIIIYQQQgghRCEkISyEEOJvq1y5MhUrVmTlypWYmZmVdjhCCCGEEEIIIYQoRP4n8QghhHglWrZsyahRo0o7jH+EWq3mzz//ZMCAAcq5yMhIypUrV+wx7OzsWLBgwd+Kw8fHh27duv2tMYQQQgghhBBCiH8zSQgLId5K/5Vka0mTqm+Svn37cv78+dIOo0gpKSmoVCri4+NLOxQhhBBCCCGEEOIfISUjhBCiCI8ePUJHR6e0w3jr5OTkoK+vj76+fmmHIoQQ4hl2odtLOwTxCqXM6lzaIQghhBDiLSQ7hIUQbx0fHx/279/PwoULUalUqFQqkpOTGTp0KNWqVUNfXx9HR0cWLlyo0a+gXcXdunXDx8dHObazs2Pq1KkMHjwYExMT3n//fQA2b96Ms7Mzurq62NnZMXfu3GLF+vjxYwIDAzE1NaVixYpMmDABtVqtXM/OziY4OJgqVapgaGhI48aNiY2NBSA2NhZfX1/u3r2r3Gd4eDgA69atw83NDWNjYywsLBgwYAA3b94sMpa83cY//PADjo6OGBgY0KtXL7KysoiKisLOzg4zMzOCgoJ48uSJ0k+lUrFt2zaNscqVK0dkZCTwf7tsN27ciKenJ3p6ekRHRxe4u/n777+nYcOG6OnpUbFiRbp3765xPSsrCz8/P4yNjbGxsWHlypUa18+ePUvr1q3R19enQoUKvP/++2RkZBR6zzt37qRZs2aUK1eOChUq0KVLF5KTk5Xr1apVA8DV1RWVSkXLli2Va6tXr8bJyQk9PT1q1arF0qVLi1xfIYQQQgghhBDibSAJYSHEW2fhwoW4u7sTEBBAWloaaWlpVK1alapVq/LNN9+QkJDAxIkT+eSTT9i0aVOJx58zZw4uLi788ssvTJgwgZMnT9KnTx/69evH2bNnCQ8PZ8KECUpCtChRUVFoa2tz7NgxFi5cyLx581i9erVyPTAwkMOHD7NhwwbOnDlD79696dChAxcuXMDDw4MFCxZgYmKi3GdwcDDwdAfu1KlTOX36NNu2bSMlJUUjsV2YrKwsFi1axIYNG9i5cyexsbF0796dHTt2sGPHDtatW8eKFSv49ttvS7xuoaGhjBw5ksTERLy8vPJd3759O927d6dTp0788ssv7Nmzh0aNGmm0mTt3Lm5ubvzyyy+MGDGCDz74gKSkJAAyMzPx8vLCzMyM48eP880337B7924CAwMLjSkzM5MxY8Zw4sQJ9uzZQ5kyZejevTu5ubkAHDt2DIDdu3eTlpbGli1bAIiOjmbixIlMnz6dxMREZsyYwYQJE4iKiip0ruzsbO7du6fxEkIIIYQQQggh3jRSMkII8dYxNTVFR0cHAwMDLCwslPOTJ09Wfq5WrRqHDx9m06ZN9OnTp0Tjt27dmo8//lg5HjhwIG3atGHChAkA1KxZk4SEBD7//PMXJmGtra2ZP38+KpUKR0dHzp49y/z58wkICCA1NZWIiAhSU1OxsrICIDg4mJ07dxIREcGMGTMwNTVFpVJp3CeAn5+f8nP16tVZtGgRDRs2JCMjAyMjo0LjycnJYdmyZdSoUQOAXr16sW7dOm7cuIGRkRG1a9emVatW7Nu3j759+5Zo3UaNGkWPHj0KvT59+nT69eun8T65uLhotOnUqRMjRowAYNy4ccyfP599+/bh6OjI+vXrefjwIWvXrsXQ0BCAJUuW4O3tzWeffYa5uXm+OXv27Klx/OWXX1KpUiUSEhJ45513qFSpEgAVKlTQWONJkyYxd+5c5X6qVatGQkICK1asYMiQIQXe38yZMzXuTQghhBBCCCGEeBPJDmEhxL/GF198QYMGDahUqRJGRkasXLmS1NTUEo/j5uamcZyYmEjTpk01zjVt2pQLFy7w5MkTDhw4gJGRkfKKjo5W2jVp0gSVSqUcu7u7K/3Onj3LkydPqFmzpkb//fv3a5Q1KMjJkyfx9vbGxsYGY2NjPD09AZT7dXZ2Vsbr2LGj0s/AwEBJBgOYm5tjZ2enkUQ2Nzd/YfmJgjy/bs+Lj4+nTZs2RbapW7eu8nNeIjwvlsTERFxcXJRkMDx9H3Jzc5VdxM+7cOEC/fv3p3r16piYmGBnZwdQ5O9FZmamUoLk2fdl2rRpRb4vYWFh3L17V3lduXKlyHsVQgghhBBCCCFKg+wQFkL8K2zYsIHg4GDmzp2Lu7s7xsbGfP755xw9elRpU6ZMGY36vfB0x+zznk04Foebmxvx8fHKcUE7VQuSkZGBlpYWJ0+eREtLS+NaUbt880oneHl5ER0dTaVKlUhNTcXLy4tHjx4BsGPHDuXenn2wW9myZTXGUqlUBZ7LK6mQd/wq1q04D5h7USwl5e3tja2tLatWrcLKyorc3FzeeecdZZ0KkleTeNWqVTRu3Fjj2vPv07N0dXXR1dV96ViFEEIIIYQQQoh/giSEhRBvJR0dHY0Hn8XFxeHh4aGUGwDy7easVKkSaWlpyvGTJ084d+4crVq1KnIuJycn4uLiNM7FxcVRs2ZNtLS00NfXx97evsC+zyakAY4cOYKDgwNaWlq4urry5MkTbt68SfPmzYt1nwC//fYbt27dYtasWVhbWwNw4sQJjTa2trZF3lNJPL9uFy5cICsrq8Tj1K1blz179uDr6/tScTg5OREZGUlmZqaSfI6Li6NMmTI4Ojrma3/r1i2SkpJYtWqVsr4HDx7UaKOjowOgscbm5uZYWVnx+++/M3DgwJeKVQghhBBCCCGEeFNJQlgI8Vays7Pj6NGjpKSkYGRkhIODA2vXruWnn36iWrVqrFu3juPHj1OtWjWlT+vWrRkzZgzbt2+nRo0azJs3jzt37rxwro8//piGDRsydepU+vbty+HDh1myZAlLly59Yd/U1FTGjBnDsGHDOHXqFIsXL2bu3LnA01rEAwcOZPDgwcydOxdXV1f+/PNP9uzZQ926dencuTN2dnZkZGSwZ88eXFxcMDAwwMbGBh0dHRYvXszw4cM5d+4cU6dOfem1fJHWrVuzZMkS3N3defLkCePGjcu3k7c4Jk2aRJs2bahRowb9+vXj8ePH7Nixg3HjxhWr/8CBA5k0aRJDhgwhPDycP//8k48++ohBgwYVuCvbzMyMChUqsHLlSiwtLUlNTSU0NFSjTeXKldHX12fnzp1UrVoVPT09TE1NmTx5MkFBQZiamtKhQweys7M5ceIEt2/fZsyYMSW+dyGEeFOkzOpc2iEIIYQQQohSJjWEhRBvpeDgYLS0tKhduzaVKlXCy8uLHj160LdvXxo3bsytW7c0dgvD0wexDRkyhMGDB+Pp6Un16tVfuDsYoH79+mzatIkNGzbwzjvvMHHiRKZMmfLCB8oBDB48mAcPHtCoUSM+/PBDRo4cyfvvv69cj4iIYPDgwXz88cc4OjrSrVs3jh8/jo2NDQAeHh4MHz6cvn37UqlSJWbPnk2lSpWIjIzkm2++oXbt2syaNYs5c+aUbAFLYO7cuVhbW9O8eXMGDBhAcHAwBgYGJR6nZcuWfPPNN8TExFCvXj1at27NsWPHit3fwMCAn376ifT0dBo2bEivXr1o06YNS5YsKbB9mTJl2LBhAydPnuSdd95h9OjRfP755xpttLW1WbRoEStWrMDKyoquXbsC4O/vz+rVq4mIiKBOnTp4enoSGRmp8QGDEEIIIYQQQgjxNlKpny8MKYQQQoi/7d69e5iamnL37l1MTExKOxwhhBBCCCGEEP9yxf07VHYICyGEEEIIIYQQQgghxH+EJISFEEIIIYQQQgghhBDiP0ISwkIIUYjw8HDq1av3t8ZISUlBpVIRHx//SmIqikqlYtu2ba99nlepRYsWrF+/vrTDAKBJkyZs3ry5tMMQQgghhBBCCCFeK0kICyHeaD///DPe3t5YWVm9lQlPa2tr0tLSeOeddwCIjY1FpVJx586dUovp+vXrjBw5Ent7e/T09DA3N6dp06YsW7aMrKwspZ2dnR0qlQqVSoWhoSH169fnm2++0Rjr3r17TJgwAWdnZ/T19alQoQINGzZk9uzZ3L59u8g4YmJiuHHjBv369VPOrVy5kpYtW2JiYlLkOm3fvp3GjRujr6+PmZkZ3bp1e+F9f/PNN9SqVQs9PT3q1KnDjh07NK5/+umnhIaGkpubm6+vj48PKSkpL5xDCCGEEEIIIYR402mXdgBCCFGUzMxMXFxc8PPzo0ePHqUdTolpaWlhYWFR2mEofv/9d5o2bUq5cuWYMWMGderUQVdXl7Nnz7Jy5UqqVKnCu+++q7SfMmUKAQEB3Lt3j7lz59K3b1+qVKmCh4cH6enpNGvWjHv37jF16lQaNGiAqakpSUlJREREsH79ej788MNCY1m0aBG+vr6UKfN/n01mZWXRoUMHOnToQFhYWIH9Nm/eTEBAADNmzKB169Y8fvyYc+fOFXnfhw4don///sycOZMuXbqwfv16unXrxqlTp5RkfceOHfH39+fHH3+kc+fOpKen8/XXXzNixAhlnOTkZI4cOcLAgQOLtd5CCFEQu9DtpTZ3yqzOpTa3EEIIIYR4M8gOYSHEG61jx45MmzaN7t27l6ifSqVi2bJldOzYEX19fapXr863336r0WbcuHHUrFkTAwMDqlevzoQJE8jJySl0TB8fH7p168aMGTMwNzenXLlyTJkyhcePHxMSEkL58uWpWrUqERERSp9nS0akpKTQqlUrAMzMzFCpVPj4+ACQnZ1NUFAQlStXRk9Pj2bNmnH8+HEA1Go19vb2zJkzRyOe+Ph4VCoVFy9eLPa6jBgxAm1tbU6cOEGfPn1wcnKievXqdO3ale3bt+Pt7a3R3tjYGAsLC2rWrMkXX3yBvr4+33//PQCffPIJqampHDt2DF9fX+rWrYutrS3t27fPl0h93p9//snevXvzzTdq1ChCQ0Np0qRJgf0eP37MyJEj+fzzzxk+fDg1a9akdu3a9OnTp8j7XrhwIR06dCAkJAQnJyemTp1K/fr1WbJkidJGS0uLTp06sWHDBgD09PS4evUqHTp04I8//mD58uX4+PhQrVq1IucSQgghhBBCCCHeZJIQFkL8a02YMIGePXty+vRpBg4cSL9+/UhMTFSuGxsbExkZSUJCAgsXLmTVqlXMnz+/yDH37t3LtWvX+Pnnn5k3bx6TJk2iS5cumJmZcfToUYYPH86wYcP4448/8vW1trZWatQmJSWRlpbGwoULARg7diybN28mKiqKU6dOYW9vj5eXF+np6ahUKvz8/DQSzQARERG0aNECe3v7Yq3HrVu3+N///seHH36IoaFhgW1UKlWh/bW1tSlbtiyPHj0iNzeXjRs38t5772FlZVXisQ4ePIiBgQFOTk7Fij3PqVOnuHr1KmXKlMHV1RVLS0s6duyYb4ewnZ0d4eHhyvHhw4dp27atRhsvLy8OHz6sca5Ro0YcOHAAAAMDA2bMmMHIkSOJjY3lyJEj7N27Fw8PjwJjy87O5t69exovIYQQQgghhBDiTSMJYSHEv1bv3r3x9/enZs2aTJ06FTc3NxYvXqxc//TTT/Hw8MDOzg5vb2+Cg4PZtGlTkWOWL1+eRYsW4ejoiJ+fH46OjmRlZfHJJ5/g4OBAWFgYOjo6HDx4MF9fLS0typcvD0DlypWxsLDA1NSUzMxMli1bxueff07Hjh2pXbs2q1atQl9fnzVr1gBPdycnJSVx7NgxAHJycli/fj1+fn7FXo+LFy+iVqtxdHTUOF+xYkWMjIwwMjJi3LhxBfZ99OgRM2fO5O7du7Ru3Zo///yTO3fu5BurQYMGylj9+/cvNJbLly9jbm6uUS6iOH7//Xfg6QP/Pv30U3744QfMzMxo2bIl6enpSrsaNWpQsWJF5fj69euYm5trjGVubs7169c1zllZWXHlyhVyc3N5+PAhEydOZOHChbRs2ZImTZrQtm1b5T143syZMzE1NVVe1tbWJbo3IYQQQgghhBDinyAJYSHEW23GjBlKAtLIyIjU1FTlmru7u0Zbd3d3jR3CGzdupGnTplhYWGBkZMSnn36q0b8gzs7OGklMc3Nz6tSpoxxraWlRoUIFbt68Wex7SE5OJicnh6ZNmyrnypYtS6NGjZR4rays6Ny5M19++SUA33//PdnZ2fTu3bvAMTt27KisibOzc5HzHzt2jPj4eJydncnOzta4Nm7cOIyMjDAwMOCzzz5j1qxZdO5ceP3JrVu3Eh8fj5eXFw8ePCi03YMHD9DT0ysyroLkPfBt/Pjx9OzZkwYNGhAREYFKpdJ44N2ePXsIDAws8fj6+vrk5uaSnZ1NVlYW5ubm7Ny5k6pVqzJ8+HC+/PJLzp8/X2DfsLAw7t69q7yuXLlS4vmFEEIIIYQQQojXTR4qJ4R4qw0fPlyjfmxh5Qued/jwYQYOHMjkyZPx8vLC1NSUDRs2MHfu3CL7lS1bVuNYpVIVeC4vcfkq+fv7M2jQIObPn09ERAR9+/bFwMCgwLarV69WErJ58dnb26NSqUhKStJoW716deBpMvR5ISEh+Pj4YGRkhLm5uVIGolKlSpQrVy7fWDY2NsDTchx37twp9F4qVqzI7du3i3HXmiwtLQGoXbu2ck5XV5fq1asXmcy3sLDgxo0bGudu3LiR74F/6enpGBoaoq+vj76+fr6H4tWoUYMaNWoUOIeuri66uroluh8hhBBCCCGEEOKfJjuEhRBvtfLly2Nvb6+8tLX/73OuI0eOaLQ9cuSIUrP20KFD2NraMn78eNzc3HBwcODy5cuvPV4dHR0Anjx5opyrUaMGOjo6xMXFKedycnI4fvy4RuKzU6dOGBoasmzZMnbu3FlkuYgqVaooa2JrawtAhQoVaNeuHUuWLCEzM7NY8VasWBF7e3ssLCw0agKXKVOGPn368NVXX3Ht2rXi3fwzXF1duX79eomTwg0aNEBXV1cjEZ2Tk0NKSopynwVxd3dnz549Gud27dqVbxf5uXPncHV1zdc/MjISOzu7EsUqhBBCCCGEEEK8iWSHsBDijZaRkcHFixeV40uXLhEfH0/58uWV3aiF+eabb3Bzc6NZs2ZER0dz7NgxpSavg4MDqampbNiwgYYNG7J9+3a2bt36Wu8FwNbWFpVKxQ8//ECnTp3Q19fHyMiIDz74gJCQEOW+Zs+eTVZWFkOHDlX6amlp4ePjQ1hYGA4ODvmSmcWxdOlSmjZtipubG+Hh4dStW5cyZcpw/PhxfvvtNxo0aFDssWbMmEFsbCyNGjViypQpuLm5YWhoyJkzZzh8+DDvvPNOoX1dXV2pWLEicXFxdOnSRTl//fp1rl+/rrznZ8+exdjYGBsbG8qXL4+JiQnDhw9n0qRJWFtbY2try+effw6gUT6jTZs2dO/eXSkbMXLkSDw9PZk7dy6dO3dmw4YNnDhxgpUrV2rEdeDAAdq3b1/sNRBCiJeRMqvw0jtCCCGEEEK8brJDWAjxRjtx4gSurq7Krs0xY8bg6urKxIkTX9h38uTJbNiwgbp167J27Vq+/vprZcftu+++y+jRowkMDKRevXocOnSICRMmvNZ7gac7dydPnkxoaCjm5uZKwnLWrFn07NmTQYMGUb9+fS5evMhPP/2EmZmZRv+hQ4fy6NEjfH19X2r+GjVq8Msvv9C2bVvCwsJwcXFRHrYXHBzM1KlTiz1WhQoVOHbsGIMHD+bzzz+nUaNG1KlTh/DwcPr27cuqVasK7aulpYWvry/R0dEa55cvX46rqysBAQEAtGjRAldXV2JiYpQ2n3/+Of369WPQoEE0bNiQy5cvs3fvXo21Sk5O5q+//lKOPTw8WL9+PStXrsTFxYVvv/2Wbdu2aSStr169yqFDh156bYUQQgghhBBCiLeBSq1Wq0s7CCGEeNVUKhVbt26lW7dupR3KK3XgwAHatGnDlStXMDc3L+1w/pbr16/j7OzMqVOniiz38E8ZN24ct2/fzrdr+GXdu3cPU1NT7t69i4mJySsZUwghhBBCCCGEKExx/w6VHcJCCPEWyM7O5o8//iA8PJzevXu/9clgePqgtzVr1hT5MLh/UuXKlUu0Q1oIIYQQQgghhHgbSQ1hIYR4C3z99dcMHTqUevXqsXbt2tIO55V5k3Zwf/zxx6UdghBCCCGEEEII8drJDmEhRKkIDw+nXr16f2uMlJQUVCoV8fHx+a6p1epiJxtjY2NRqVTcuXPnb8VTEkXFXhAfHx/WrFlDcnIyVapUeb3B/U3FvbekpCQsLCy4f//+PxNYEf766y8qV67MH3/8UdqhCCGEEEIIIYQQr5UkhIX4D/v555/x9vbGysoKlUrFtm3bSjukErG2tiYtLU15MFhpJHbFywsLC+Ojjz7C2NgYgIcPH+Lj40OdOnXQ1tYuNKGfnZ3N+PHjsbW1RVdXFzs7O7788ssi51q5ciUtW7bExMSkwN+RihUrMnjwYCZNmlRg/5YtW5b09oQQQgghhBBCiDeSlIwQ4j8sMzMTFxcX/Pz86NGjR2mHU2JaWlpYWFiUdhj/KTk5OZQtW/Zvj5OamsoPP/zA4sWLlXNPnjxBX1+foKAgNm/eXGjfPn36cOPGDdasWYO9vT1paWnk5uYWOV9WVhYdOnSgQ4cOhIWFFdjG19eXBg0a8Pnnn1O+fHni4uJ48OABbdu2Vdrs3r0bAwMDPDw8SnjHQghROuxCt2scp8zqXEqRCCGEEEKIN4XsEBbiP6xjx45MmzaN7t27l6ifSqVi2bJldOzYEX19fapXr863336r0WbcuHHUrFkTAwMDqlevzoQJE8jJySl0TB8fH7p168aMGTMwNzenXLlyTJkyhcePHxMSEkL58uWpWrUqERERSp9nSxOkpKTQqlUrAMzMzFCpVPj4+ABPd5QGBQVRuXJl9PT0aNasGcePHy/yHg8ePEjz5s3R19fH2tqaoKAgMjMzleu3b99m8ODBmJmZYWBgQMeOHblw4QLwNNFuYmKSb022bduGoaFhoSUSYmJicHBwQE9Pj1atWhEVFVXojueUlBTKlCnDiRMnNM4vWLAAW1tbJUH666+/0qVLF0xMTDA2NqZ58+YkJycr7VevXo2TkxN6enrUqlWLpUuX5lvfjRs34unpiZ6eHtHR0eTm5jJlyhSqVq2Krq4u9erVY+fOnUWu5/M2bdqEi4uLRvkLQ0NDli1bRkBAQKGJ/p07d7J//3527NhB27ZtsbOzw93dnaZNmxY536hRowgNDaVJkyaFtnF2dsbKyoqtW7cCYGNjw4oVKxgxYgT3799nxIgRrFy5Emtr6xLdqxBCCCGEEEII8SaRhLAQ4qVMmDCBnj17cvr0aQYOHEi/fv1ITExUrhsbGxMZGUlCQgILFy5k1apVzJ8/v8gx9+7dy7Vr1/j555+ZN28ekyZNokuXLpiZmXH06FGGDx/OsGHDCqzzam1trewqTUpKIi0tjYULFwIwduxYNm/eTFRUFKdOncLe3h4vLy/S09MLjCM5OZkOHTrQs2dPzpw5w8aNGzl48CCBgYFKGx8fH06cOEFMTAyHDx9GrVbTqVMncnJyMDQ0pF+/fhrJa4CIiAh69eqllEh41qVLl+jVqxfdunXj9OnTDBs2jPHjxxe6VnZ2drRt27bAOXx8fChTpgxXr16lRYsW6OrqsnfvXk6ePImfnx+PHz8GIDo6mokTJzJ9+nQSExOZMWMGEyZMICoqSmPM0NBQRo4cSWJiIl5eXixcuJC5c+cyZ84czpw5g5eXF++++66SEC+OAwcO4ObmVuz2eWJiYnBzc2P27NlUqVKFmjVrEhwczIMHD5Q2eaVDUlJSSjx+o0aNOHDgAPD0d+qbb77B1NSUU6dOUa5cOTZt2lRoQjg7O5t79+5pvIQQQgghhBBCiDeOWggh1Go1oN66dWux2w4fPlzjXOPGjdUffPBBoX0+//xzdYMGDZTjSZMmqV1cXJTjIUOGqG1tbdVPnjxRzjk6OqqbN2+uHD9+/FhtaGio/vrrr9VqtVp96dIlNaD+5Zdf1Gq1Wr1v3z41oL59+7bSJyMjQ122bFl1dHS0cu7Ro0dqKysr9ezZswvsN3ToUPX777+vEf+BAwfUZcqUUT948EB9/vx5NaCOi4tTrv/1119qfX199aZNm9RqtVp99OhRtZaWlvratWtqtVqtvnHjhlpbW1sdGxtbYOzjxo1Tv/POOxpzjh8/XiOuiIgItampqXJ948aNajMzM/XDhw/VarVaffLkSbVKpVJfunRJrVar1WFhYepq1aqpHz16pC5IjRo11OvXr9c4N3XqVLW7u7tGjAsWLNBoY2VlpZ4+fbrGuYYNG6pHjBhR4L0VxMXFRT1lypRCrw8ZMkTdtWvXfOe9vLzUurq66s6dO6uPHj2q3r59u9rW1lbt4+OjtDl69Kja0dFR/ccff+TrX9DvyLNGjx6tbtmypVqtVqv/+OMPdd++fdXDhw9X169fXz18+HB13759CxxXrX76Ow3ke929e7fQ+xRCiNfNdtwPGi8hhBBCCPHvdffu3WL9HSo7hIUQhZoxYwZGRkbKKzU1Vbnm7u6u0dbd3V1jh/DGjRtp2rQpFhYWGBkZ8emnn2r0L4izszNlyvzff5bMzc2pU6eOcqylpUWFChW4efNmse8hOTmZnJwcjZICZcuWpVGjRhrxPuv06dNERkZq3LuXlxe5ublcunSJxMREtLW1ady4sdKnQoUKODo6KmM2atQIZ2dnZbftV199ha2tLS1atChwzqSkJBo2bKhxrlGjRkXeW7du3dDS0lJKHERGRtKqVSvs7OwAiI+Pp3nz5gXW/M3MzCQ5OZmhQ4dq3Oe0adM0SkoAGjt57927x7Vr1/KVaGjatGmh61mQBw8eoKenV+z2eXJzc1GpVERHR9OoUSM6derEvHnziIqKUnYJN2rUiN9++02jHEVx6evrk5WVBTwtmeHv78+yZcswNjZm2bJl+Pv7F7rzOCwsjLt37yqvK1eulHh+IYQQQgghhBDidZOHygkhCjV8+HD69OmjHFtZWRWr3+HDhxk4cCCTJ0/Gy8sLU1NTNmzYwNy5c4vs93ziUqVSFXjuRQ8Q+7syMjIYNmwYQUFB+a7Z2NgUuzSCv78/X3zxBaGhoURERODr64tKpXplcero6DB48GAiIiLo0aMH69evV8pkwNPkZmEyMjIAWLVqlUZiG54m3p9laGj4ymLOU7FiRW7fvl3ifpaWllSpUgVTU1PlnJOTE2q1mj/++AMHB4e/FVd6ejqVKlUCKLAu8bMPmHuerq4uurq6f2t+IYQQQgghhBDidZMdwkKIQpUvXx57e3vlpa39f58hHTlyRKPtkSNHcHJyAuDQoUPY2toyfvx43NzccHBw4PLly689Xh0dHQCePHminKtRowY6OjrExcUp53Jycjh+/Di1a9cucJz69euTkJCgce95Lx0dHZycnHj8+DFHjx5V+ty6dYukpCSNMd977z0uX77MokWLSEhIYMiQIYXG7ujomO8BcS968B08TTrv3r2bpUuX8vjxY3r06KFcq1u3LgcOHCjwYX7m5uZYWVnx+++/57vHatWqFTqfiYkJVlZWGusJEBcXV+h6FsTV1ZWEhIRit8/TtGlTrl27piS0Ac6fP0+ZMmWoWrVqicd73rlz53B1dc13PjY29m+PLYQQQgghhBBCvAkkISzEf1hGRgbx8fHEx8cDTx9sFh8f/8LSDgDffPMNX375JefPn2fSpEkcO3ZMeeiag4MDqampbNiwgeTkZBYtWqSUNXidbG1tUalU/PDDD/z5559kZGRgaGjIBx98QEhICDt37iQhIYGAgACysrIYOnRogeOMGzeOQ4cOERgYSHx8PBcuXOC7777TuL+uXbsSEBDAwYMHOX36NO+99x5VqlSha9euyjhmZmb06NGDkJAQ2rdvX2TCctiwYfz222+MGzeO8+fPs2nTJiIjIwGK3FXs5OREkyZNGDduHP3799fYFRwYGMi9e/fo168fJ06c4MKFC6xbt46kpCQAJk+ezMyZM1m0aBHnz5/n7NmzREREMG/evCLXOSQkhM8++4yNGzeSlJREaGgo8fHxjBw5ssh+z/Ly8uLw4cMayXuAhIQE4uPjSU9P5+7duxq/nwADBgygQoUK+Pr6kpCQwM8//0xISAh+fn7KvR87doxatWpx9epVpd/169eJj4/n4sWLAJw9e1aZJ09WVhYnT56kffv2xb4PIYR406XM6qzxEkIIIYQQQhLCQvyHnThxAldXV2VH5JgxY3B1dWXixIkv7Dt58mQ2bNhA3bp1Wbt2LV9//bWyQ/Tdd99l9OjRBAYGUq9ePQ4dOsSECRNe670AVKlShcmTJxMaGoq5ubmSwJ01axY9e/Zk0KBB1K9fn4sXL/LTTz9hZmZW4Dh169Zl//79nD9/nubNmytr8mzJjIiICBo0aECXLl1wd3dHrVazY8eOfCUuhg4dyqNHj/Dz8ysy9mrVqvHtt9+yZcsW6taty7Jlyxg/fjzAC8sQFDZHhQoV2Lt3LxkZGXh6etKgQQNWrVqlxOjv78/q1auJiIigTp06eHp6EhkZWeQOYYCgoCDGjBnDxx9/TJ06ddi5cycxMTElKtfQsWNHtLW12b17t8b5Tp064erqyvfff09sbKzG7yeAkZERu3bt4s6dO7i5uTFw4EC8vb1ZtGiR0iYrK4ukpCSNndHLly/H1dWVgIAAAFq0aIGrqysxMTFKm++++w4bGxuaN29e7PsQQgghhBBCCCHeNiq1Wq0u7SCEEG8XlUrF1q1b6datW2mH8sZbt24do0eP5tq1a0pJi+KaPn06y5cvf+HDyaZOnco333zDmTNn/k6o/7gvvviCmJgYfvrpp9IOBYAmTZoQFBTEgAEDXsl49+7dw9TUlLt372JiYvJKxhRCCCGEEEIIIQpT3L9D5aFyQgjxGmRlZZGWlsasWbMYNmxYsZLBS5cupWHDhlSoUIG4uDg+//xzZZdzQTIyMkhJSWHJkiVMmzbtVYb/jxg2bBh37tzh/v37GBsbl2osf/31Fz169KB///6lGocQQgghhBBCCPG6SckIIcQbS6VSsW3bNgBSUlJQqVQa9WRf9Ryv0uzZs6lVqxYWFhaEhYUVq8+FCxfo2rUrTk5ODB48mAEDBhAeHl5o+8DAQBo0aEDLli3R0tKiXLlyryb41+jZ91FbW5vx48cXmAxOSkrCwsKC+/fv/yNxVaxYkbFjxxZYrzkhIYGqVauSmZn5j8QihBBCCCGEEEK8TpIQFkKUmFqtLlG5iJ9//hlvb2+srKxeOgFrbW1NWloa77zzTon7lobw8HBycnLYs2cPRkZGxeozf/58rl27pjz07f3330dbu/AvckRGRpKdnc3GjRspU+bf9Z/zsLAwPvroIyVZ/PDhQ3x8fKhTpw7a2tqF/v5FR0fj4uKCgYEBlpaW+Pn5cevWrSLnGjZsGDVq1EBfX59KlSrRtWtXfvvtN+V67dq1adKkyQsftieEEEIIIYQQQrwNpGSEEOK1y8zMxMXFBT8/P3r06PFSY2hpaWFhYfGKIxOvUk5OTr6H6r2M1NRUfvjhBxYvXqyce/LkCfr6+gQFBbF58+YC+8XFxTF48GDmz5+Pt7c3V69eZfjw4QQEBLBly5ZC52vQoAEDBw7ExsaG9PR0wsPDad++PZcuXUJLSwsAX19fAgICCAsLKzJJL/4+u9DtpR2CEP9qKbM6l3YIQgghhBCilP27tpQJId5IHTt2ZNq0aXTv3v2lx3i+ZERsbCwqlYo9e/bg5uaGgYEBHh4eyu7aPMuWLaNGjRro6Ojg6OjIunXripznypUr9OnTh3LlylG+fHm6du1KSkqKct3Hx4du3boxZ84cLC0tqVChAh9++CE5OTlKm9u3bzN48GDMzMwwMDCgY8eOXLhwAXiaHDcxMeHbb7/VmHfbtm0YGhoWWiIhJiYGBwcH9PT0aNWqFVFRUahUKu7cuVPgWpUpU4YTJ05onF+wYAG2trbk5uYC8Ouvv9KlSxdMTEwwNjamefPmJCcnK+1Xr16Nk5MTenp61KpVi6VLl2rMoVKp2LhxI56enujp6REdHU1ubi5TpkyhatWq6OrqUq9ePXbu3Fnkmj9v06ZNuLi4UKVKFeWcoaEhy5YtIyAgoNAPBg4fPoydnR1BQUFUq1aNZs2aMWzYMI4dO1bkfO+//z4tWrTAzs6O+vXrM23aNK5cuaLxvrdr14709HT2799fonsRQgghhBBCCCHeNJIQFkK81caPH8/cuXM5ceIE2tra+Pn5Kde2bt3KyJEj+fjjjzl37hzDhg3D19eXffv2FThWTk4OXl5eGBsbc+DAAeLi4jAyMqJDhw48evRIabdv3z6Sk5PZt28fUVFRREZGEhkZqVz38fHhxIkTxMTEcPjwYdRqNZ06dSInJwdDQ0P69etHRESExtwRERH06tWrwHq6ly5dolevXnTr1o3Tp08zbNgwxo8fX+ia2NnZ0bZt2wLn8PHxoUyZMly9epUWLVqgq6vL3r17OXnyJH5+fjx+/Bh4Wnph4sSJTJ8+ncTERGbMmMGECROIiorSGDM0NJSRI0eSmJiIl5cXCxcuZO7cucyZM4czZ87g5eXFu+++qyTEi+PAgQO4ubkVu30ed3d3rly5wo4dO1Cr1dy4cYNvv/2WTp06KW3yPkh4Ntn7rMzMTCIiIqhWrRrW1tbKeR0dHerVq8eBAwdKHJcQQgghhBBCCPEmke+9CiHeatOnT8fT0xN4mpzs3LkzDx8+RE9Pjzlz5uDj48OIESMAGDNmDEeOHGHOnDm0atUq31gbN24kNzeX1atXKw8Xi4iIoFy5csTGxtK+fXsAzMzMWLJkCVpaWtSqVYvOnTuzZ88eAgICuHDhAjExMcTFxeHh4QE8Ta5aW1uzbds2evfujb+/Px4eHqSlpWFpacnNmzfZsWMHu3fvLvAeV6xYgaOjI59//jkAjo6OnDt3junTpxe6Lv7+/gwfPpx58+ahq6vLqVOnOHv2LN999x0AX3zxBaampmzYsEEp81CzZk2l/6RJk5g7d65S4qNatWokJCSwYsUKhgwZorQbNWqURhmQOXPmMG7cOPr16wfAZ599xr59+1iwYAFffPFFofE+6/Llyy+VEG7atCnR0dH07duXhw8f8vjxY7y9vTXmNTAwwNHRMV9pi6VLlzJ27FgyMzNxdHRk165d6OjoaLSxsrLi8uXLhc6fnZ1Ndna2cnzv3r0S34MQQgghhBBCCPG6yQ5hIUSpmzFjBkZGRsorNTW12H3r1q2r/GxpaQnAzZs3AUhMTKRp06Ya7Zs2bUpiYmKBY50+fZqLFy9ibGysxFK+fHkePnyoUUrB2dlZqS2bN++zc2pra9O4cWPleoUKFXB0dFTmbdSoEc7Ozspu26+++gpbW1tatGhRYFxJSUk0bNhQ41yjRo2KWBXo1q0bWlpabN26FXj6ALpWrVphZ2cHQHx8PM2bNy+w5m9mZibJyckMHTpU432ZNm2axjoAGonbe/fuce3atRKteUEePHiAnp5esdvnSUhIYOTIkUycOJGTJ0+yc+dOUlJSGD58uNKmUaNG/PbbbxrlKAAGDhzIL7/8wv79+6lZsyZ9+vTh4cOHGm309fXJysoqdP6ZM2diamqqvJ7dYSyEEEIIIYQQQrwpZIewEKLUDR8+nD59+ijHVlZWxe77bEIzb1dvXo3cksrIyKBBgwZER0fnu1apUqUC58ybt6Rz+vv788UXXxAaGkpERAS+vr5K/K+Cjo4OgwcPJiIigh49erB+/XoWLlyoXNfX1y+0b0ZGBgCrVq3SSGwDGolweFrb91WrWLEit2/fLnG/mTNn0rRpU0JCQoCnHxYYGhrSvHlzpk2bpnxgUJC8JK6DgwNNmjTBzMyMrVu30r9/f6VNeno6NWrUKHSMsLAwxowZoxzfu3dPksJCCCGEEEIIId44skNYCFHqypcvj729vfLS1n41n1U5OTkRFxencS4uLo7atWsX2L5+/fpcuHCBypUra8Rjb2+Pqalpsed8/PgxR48eVc7dunWLpKQkjXnfe+89Ll++zKJFi0hISNAow/A8R0fHfA+IO378+Atj8ff3Z/fu3SxdupTHjx9rlHaoW7cuBw4c0HgYXh5zc3OsrKz4/fff861DtWrVCp3PxMQEKyurEq15QVxdXUlISCh2+zxZWVmUKaP5v7W8BLZarS72OGq1GrVarVH+AeDcuXO4uroW2k9XVxcTExONlxBCCCGEEEII8aaRHcJCiNcuIyODixcvKseXLl0iPj6e8uXLY2Nj89rmDQkJoU+fPri6utK2bVu+//57tmzZUmit3oEDB/L555/TtWtXpkyZQtWqVbl8+TJbtmxh7NixVK1a9YVzOjg40LVrVwICAlixYgXGxsaEhoZSpUoVunbtqrQzMzOjR48ehISE0L59+yLHHjZsGPPmzWPcuHEMHTqU+Ph45SF2Re0qdnJyokmTJowbNw4/Pz+NXcGBgYEsXryYfv36ERYWhqmpKUeOHKFRo0Y4OjoyefJkgoKCMDU1pUOHDmRnZ3PixAlu376tsQv2eSEhIUyaNIkaNWpQr149IiIiiI+PL3DXdWG8vLzw9/fnyZMnGjuSExISePToEenp6dy/f5/4+HgA6tWrB4C3tzcBAQEsW7YMLy8v0tLSGDVqFI0aNVJ2nR87dozBgwezZ88eqlSpwu+//87GjRtp3749lSpV4o8//mDWrFno6+trPIwuJSWFq1ev0rZt22Lfh3g5KbM6l3YIQgghhBBCCPGvJjuEhRCv3YkTJ3B1dVV2V44ZMwZXV1cmTpz4Wuft1q0bCxcuZM6cOTg7O7NixQoiIiJo2bJlge0NDAz4+eefsbGxoUePHjg5OTF06FAePnxYot2eERERNGjQgC5duuDu7o5arWbHjh35Sk0MHTqUR48e4efnV+R41apV49tvv2XLli3UrVuXZcuWMX78eODprtSiFDZHhQoV2Lt3LxkZGXh6etKgQQNWrVqlxOjv78/q1auJiIigTp06eHp6EhkZWeQOYYCgoCDGjBnDxx9/TJ06ddi5cycxMTE4ODgU2e9ZHTt2RFtbO1/ivlOnTri6uvL9998TGxur8TsF4OPjw7x581iyZAnvvPMOvXv3xtHRkS1btihtsrKySEpKUnZG6+npceDAATp16oS9vT19+/bF2NiYQ4cOUblyZaXf119/Tfv27bG1tS32fQghhBBCCCGEEG8ilbok36MVQgjxyqxbt47Ro0dz7do1dHR0StR3+vTpLF++nCtXrhTZburUqXzzzTecOXPm74T6j/viiy+IiYnhp59+Ku1QePToEQ4ODqxfvz7fA/OKcu/ePUxNTbl7966UjxBCCCGEEEII8doV9+9QKRkhhBD/sKysLNLS0pg1axbDhg0rVjJ46dKlNGzYkAoVKhAXF8fnn39OYGBgoe0zMjJISUlhyZIlTJs27VWG/48YNmwYd+7c4f79+xgbG5dqLKmpqXzyySclSgYLIYQQQgghhBBvKtkhLIQQ/7Dw8HCmT59OixYt+O677zAyMnphn9GjR7Nx40bS09OxsbFh0KBBhIWFFfoAPh8fH77++mu6devG+vXrNWrxin+G7BAWQgghhBBCCPFPKu7foVJDWIhnxMbGolKpuHPnzt8ax87OjgULFrySmIrSsmVLRo0a9bfGeFX3XBIpKSmoVCrloWAvKzw8XHmg2Jvs+TUODw8nJyeHPXv2aCSD9+zZg5OTE0+ePMk3xvz587l27RoPHz7k/PnzTJgwodBkMEBkZCTZ2dls3LjxX5EMXr58Od7e3i9s17JlS1QqVYl/vyIjI5V+f/fflBBCCCGEEEII8SaThLAQr8Hx48d5//33lWOVSsW2bdtKLyDxVhg7diyffvqpksBNS0tjwIAB1KxZkzJlyhSaqLxz5w4ffvghlpaW6OrqUrNmTXbs2FHkXOnp6QwcOBATExPKlSvH0KFDycjIyNdu//79WFtbA/Dzzz/j7e2NlZVVob/TGRkZBAYGUrVqVfT19alduzbLly8vMpaHDx/i4+NDnTp10NbWplu3bvna+Pn5cerUKQ4cOFDkWAABAQGkpaXxzjvvAHD69Gn69++PtbU1+vr6ODk5sXDhQo0+ffv2JS0tDXd393zjpaSk4OPj88J5hRBCCCGEEEKIt4HUEBbiNahUqVJphyD+AWq1midPnhS5U7e4Dh48SHJyMj179lTOZWdnU6lSJT799FPmz59fYL9Hjx7Rrl07KleuzLfffkuVKlW4fPky5cqVK3K+gQMHkpaWxq5du8jJycHX15f333+f9evXa7T77rvvlJ25mZmZuLi44OfnR48ePQocd8yYMezdu5evvvoKOzs7/ve//zFixAisrKx49913C+zz5MkT9PX1CQoKYvPmzQW20dHRYcCAASxatIjmzZsXeW8GBgZYWFgoxydPnqRy5cp89dVXWFtbc+jQId5//320tLSUOsz6+vro6+tr1HOOjo6mSZMmSoJerVazdOlSBgwYgJmZWZExCCHEm8oudHtph/CvlzKrc2mHIIQQQghRJNkhLP41WrZsSWBgIIGBgZiamlKxYkUmTJjAs2Wy161bh5ubG8bGxlhYWDBgwABu3rxZ6JiRkZGUK1eOH374AUdHRwwMDOjVqxdZWVlERUVhZ2eHmZkZQUFBGl/zf7ZkhJ2dHQDdu3dHpVIpxwDLli2jRo0a6Ojo4OjoyLp165Rrfn5+dOnSRSOenJwcKleuzJo1a4q9LtnZ2QQFBVG5cmX09PRo1qwZx48fL7LPwYMHad68Ofr6+lhbWxMUFERmZqZy/fbt2wwePBgzMzMMDAzo2LEjFy5cAJ4mDU1MTPj22281xty2bRuGhobcv3+/2LGvWrUKa2trDAwM6N69O/PmzSs00fnzzz9TtmxZrl+/rnF+1KhRGgnEuLg4WrZsiYGBAWZmZnh5eXH79m0AcnNzmTlzJtWqVUNfXx8XFxeN+8gr/fDjjz/SoEEDdHV1OXjw4Eut8fM2bNhAu3bt0NPTU87Z2dmxcOFCBg8ejKmpaYH9vvzyS9LT09m2bRtNmzbFzs4OT09PXFxcCp0rMTGRnTt3snr1aho3bkyzZs1YvHgxGzZs4Nq1axptY2JilERux44dmTZtGt27dy907EOHDjFkyBBatmyJnZ0d77//Pi4uLhw7dqzQPoaGhixbtoyAgACNRO7zvL29iYmJ4cGDB4W2KYifnx8LFy7E09OT6tWr89577+Hr68uWLVuK7FetWjWGDBnC8uXL+eOPP+jQoQNXr15FV1e3RPMLIYQQQgghhBBvEkkIi3+VqKgotLW1OXbsGAsXLmTevHmsXr1auZ6Tk8PUqVM5ffo027ZtK9ZXwbOysli0aBEbNmxg586dxMbG0r17d3bs2MGOHTtYt24dK1asyJcAzZOXGIyIiCAtLU053rp1KyNHjuTjjz/m3LlzDBs2DF9fX/bt2weAv78/O3fuJC0tTRnrhx9+ICsri759+xZ7TcaOHcvmzZuJiori1KlT2Nvb4+XlRXp6eoHtk5OT6dChAz179uTMmTNs3LiRgwcPKjsp4ekDy06cOEFMTAyHDx9GrVbTqVMncnJyMDQ0pF+/fkRERGiMGxERQa9evTA2Ni5W3HFxcQwfPpyRI0cSHx9Pu3btmD59eqHtW7RoQfXq1TWS6jk5OURHR+Pn5wdAfHw8bdq0oXbt2hw+fJiDBw/i7e2tJPNnzpzJ2rVrWb58Ob/++iujR4/mvffeY//+/RpzhYaGMmvWLBITE6lbt26J17ggBw4cwM3Nrdjt88TExODu7s6HH36Iubk577zzDjNmzND4gCKvPm6ew4cPU65cOY352rZtS5kyZTh69Khy7tdff+XmzZu0bt262PF4eHgQExPD1atXUavV7Nu3j/Pnz9O+fXuljY+PDy1btizxvbq5ufH48WONGF/W3bt3KV++fJFtPDw82LdvH4cPHyY2NpZRo0YxY8YMDAwM/vb8QgghhBBCCCFEaZGSEeJfxdramvnz56NSqXB0dOTs2bPMnz+fgIAAACUxCFC9enUWLVpEw4YNycjI0Hi417NycnKUnbwAvXr1Yt26ddy4cQMjIyNq165Nq1at2LdvX4GJ2rzyEeXKldPY/Thnzhx8fHwYMWIE8PSr9keOHGHOnDm0atUKDw8PZdfw2LFjgadJ1d69exca6/MyMzNZtmwZkZGRdOzYEXi663bXrl2sWbOGkJCQfH1mzpzJwIEDlXq1Dg4OLFq0CE9PT5YtW8aVK1eIiYkhLi4ODw8P4OlX662trdm2bRu9e/fG398fDw8P0tLSsLS05ObNm+zYsYPdu3cXK26AxYsX07FjR4KDgwGoWbMmhw4d4ocffii0z9ChQ4mIiFDu6/vvv+fhw4f06dMHgNmzZ+Pm5sbSpUuVPs7OzsDTndQzZsxg9+7dSh3Z6tWrc/DgQVasWIGnp6fSZ8qUKbRr1+6l17ggly9fxsrKqlhtn/X777+zd+9eBg4cyI4dO7h48SIjRowgJyeHSZMmAWBqaoqjo6PS5/r161SuXFljHG1tbcqXL6+xw/q7777Dy8tLo4zCiyxevJj333+fqlWroq2tTZkyZVi1ahUtWrRQ2lhaWpKbm1viezUwMMDU1JTLly+XuO+zDh06xMaNG9m+veivTR89epSQkBA8PDwoW7YsCxYs4PDhw3zyyScaO7nzZGdnk52drRzfu3fvb8UphBBCCCGEEEK8DrJDWPyrNGnSRGMnpLu7OxcuXFB2S548eRJvb29sbGwwNjZWknypqamFjmlgYKAkgwHMzc2xs7PTSMqam5sXWXqiIImJiTRt2lTjXNOmTUlMTFSO/f39lZ22N27c4Mcff9RIaj9rxowZGBkZKa/U1FSSk5PJycnRmKds2bI0atRIY55nnT59msjISI2xvLy8yM3N5dKlSyQmJqKtrU3jxo2VPhUqVMDR0VEZs1GjRjg7OxMVFQXAV199ha2trUZS8FnOzs7KXHlJ1aSkJBo1aqTR7vnj5/n4+HDx4kWOHDkCPN0Z26dPHwwNDYH/2yFckIsXL5KVlUW7du007n3t2rUkJydrtH12Z+3LrHFBHjx4UGCS8UVyc3OpXLkyK1eupEGDBvTt25fx48drPMite/fu/PbbbyUe+7vvviu07m9hFi9ezJEjR4iJieHkyZPMnTuXDz/8UOPDgLyd2C9DX1+frKysl+oLcO7cObp27cqkSZM0di0X5MKFC0RERDB8+HCqVq3Kzp07MTc3L3T+mTNnYmpqqrzyHsYnhBBCCCGEEEK8SWSHsPjPyMzMxMvLCy8vL6Kjo6lUqRKpqal4eXnx6NGjQvuVLVtW41ilUhV47mV2PL7I4MGDCQ0N5fDhwxw6dIhq1aoV+kCt4cOHKzthAaysrLhz506J58zIyGDYsGEEBQXlu2ZjY6PUCn4Rf39/vvjiC0JDQ4mIiMDX11cjWf+sHTt2kJOTAzxN+L2sypUr4+3tTUREBNWqVePHH38kNjZWuV7U2BkZGQBs376dKlWqaFx7vmZsXoL5VapYsaJSy7gkLC0tKVu2rPLgMwAnJyeuX7/Oo0ePCtzda2Fhke8DjMePH5Oenq7sYk9LS+OXX36hc+fiPxjnwYMHfPLJJ2zdulXpV7duXeLj45kzZw5t27Yt8f09Lz09/aUf2piQkECbNm14//33+fTTT1/Y/r333gMgJSUFePrv/MMPPyy0fVhYGGPGjFGO7927J0lhIYQQQgghhBBvHNkhLP5Vnq8teuTIERwcHNDS0uK3337j1q1bzJo1i+bNm1OrVq0S7+p9WWXLltWo6QpPk3ZxcXEa5+Li4qhdu7ZyXKFCBbp160ZERASRkZH4+voWOkf58uWxt7dXXtra2soD656dJycnh+PHj2vM86z69euTkJCgMVbeS0dHBycnp3x1XG/dukVSUpLGmO+99x6XL19m0aJFJCQkMGTIkEJjt7W1VebIS8Y6OjrmezBbcR7U5u/vz8aNG1m5ciU1atTQ2Llbt25d9uzZU2C/2rVro6urS2pqar77Liqp9zJrXBBXV1cSEhKK3T5P06ZNuXjxosYHEufPn8fS0rLQUg/u7u7cuXOHkydPKuf27t1Lbm6usvP7+++/x8PD44V1dp+Vk5NDTk4OZcpo/q9FS0vrlXxgkpyczMOHD3F1dS1x319//ZVWrVoxZMiQImtRF8TOzo7IyMgXttPV1cXExETjJYQQQgghhBBCvGlkh7D4V0lNTWXMmDEMGzaMU6dOsXjxYubOnQs83d2qo6PD4sWLGT58OOfOnWPq1Kn/SFx2dnbs2bOHpk2boquri5mZGSEhIfTp0wdXV1fatm3L999/z5YtW/LV2fX396dLly48efKkyKRqQQwNDfnggw8ICQmhfPny2NjYMHv2bLKyshg6dGiBfcaNG0eTJk0IDAzE398fQ0NDEhIS2LVrF0uWLMHBwYGuXbsSEBDAihUrMDY2JjQ0lCpVqtC1a1dlHDMzM3r06EFISAjt27enatWqJYr9o48+okWLFsybNw9vb2/27t3Ljz/+WOgu4zxeXl6YmJgwbdo0pkyZonEtLCyMOnXqMGLECIYPH46Ojg779u2jd+/eVKxYkeDgYEaPHk1ubi7NmjXj7t27xMXFYWJiUujav8waFxZ3XomNZ8XHxwNPdzD/+eefxMfHo6OjoySbP/jgA5YsWcLIkSP56KOPuHDhAjNmzNDY4b1161bCwsKUshFOTk506NCBgIAAli9fTk5ODoGBgfTr10+pYxwTE5OvXERGRgYXL15Uji9dukR8fLxy3yYmJnh6ehISEoK+vj62trbs37+ftWvXMm/ePI334erVqxplIxISEnj06BHp6encv39fue969eopbQ4cOED16tU1SrgUx7lz52jdujVeXl6MGTNGqZOspaX10ruNhRDibZUyq/jf/BBCCCGEEP9SaiH+JTw9PdUjRoxQDx8+XG1iYqI2MzNTf/LJJ+rc3Fylzfr169V2dnZqXV1dtbu7uzomJkYNqH/55Re1Wq1W79u3Tw2ob9++rVar1eqIiAi1qampxjyTJk1Su7i4aJwbMmSIumvXrsqxra2tev78+cpxTEyM2t7eXq2tra22tbVVzi9dulRdvXp1ddmyZdU1a9ZUr127Nt995ebmqm1tbdWdOnUq8J5HjhxZ5Lo8ePBA/dFHH6krVqyo1tXVVTdt2lR97Ngx5frz96xWq9XHjh1Tt2vXTm1kZKQ2NDRU161bVz19+nTlenp6unrQoEFqU1NTtb6+vtrLy0t9/vz5fHPv2bNHDag3bdqkcf7SpUsa616YlStXqqtUqaLW19dXd+vWTT1t2jS1hYWFcr2g90KtVqsnTJig1tLSUl+7di3ftdjYWLWHh4daV1dXXa5cObWXl5dy77m5ueoFCxaoHR0d1WXLllVXqlRJ7eXlpd6/f3+ha6VWv9waP+/WrVtqPT099W+//aZxHsj3evZ3SK1Wqw8dOqRu3LixWldXV129enX19OnT1Y8fP1auR0REqJ//z/2tW7fU/fv3VxsZGalNTEzUvr6+6vv376vVarU6IyNDraenp75w4YJGn7z7eP41ZMgQpU1aWprax8dHbWVlpdbT01M7Ojqq586dq/HvcMiQIWpPT0+NsW1tbQsc+1nt27dXz5w5s9A1VKsL/jcxadKkYq1jYf1f1t27d9WA+u7du69kPCGEEEIIIYQQoijF/TtUpVar1f9E4lmI161ly5bUq1ePBQsWlHYor1RGRgZVqlQhIiKCHj16lHY4JbJu3TpGjx7NtWvXCi1fUBIBAQH89ttvHDhwoMh2Q4cO5c8//yQmJuZvz/lPCgkJ4d69e6xYsaJU49iyZQuffvrpS5WweF1+/fVXWrduzfnz5zE1NS203d/978Cr/O/IvXv3MDU15e7du1I+QgghhBBCCCHEa1fcv0OlhrAQb6jc3Fxu3rzJ1KlTKVeuXL6v77/JsrKySE5OZtasWQwbNuylk8Fz5szh9OnTXLx4kcWLFxMVFVVk2Yy7d+9y8OBB1q9fz0cfffSy4Zea8ePHY2tr+1oeUFgSRkZGfPbZZ6Uaw/PS0tJYu3ZtkcngPEuXLsXIyIizZ88We/zo6GiMjIxe+GGDEEIIIYQQQgjxtpMdwuJf49+2QzglJYVq1apRtWpVIiMjadOmTWmHVGzh4eFMnz6dFi1a8N1332FkZPRS4/Tp04fY2Fju379P9erV+eijjxg+fHih7Vu2bMmxY8cYNmwY8+fPf9nwxVvs6tWrPHjwAPi/uuHFcf/+fW7cuAFAuXLlqFix4t+ORXYICyGEEEIIIYT4J8kOYfHGUqlUbNu27W+N4ePjQ7du3TTOxcbGvvJkcHh4uMZDrQrSsmVLRo0a9UrnhacPolOr1Vy5cuWVJ4OLc19/d/ycnBz27Nnz0slggE2bNnHz5k0ePHhAZmYmDx8+LLRtSkoK+/fv59ChQ29UMvhV/L4XV4sWLVi/fv0bE09pqFKlCvb29tjb25doZ/qVK1do2bIllpaWryQZLIQQQgghhBBCvKkkIfwf4+Pjg0qlYtasWRrnt23bhkqlKqWoSm7hwoVERkYqx68rKfsmKSgJLv6PtbU1aWlpvPPOO6Udioa0tDQ6duz42ueJiYnhxo0b9OvXr0T9pk+fjoeHBwYGBpQrVy7f9cjISFQqVYGvmzdvFjruli1baN++PRUqVEClUhEfH19o22rVqrF7924ePnyIj48PderUQVtbu9Df9+zsbKW8hq6uLnZ2dnz55ZdF3ufDhw/58MMPqVChAkZGRvTs2VPZEQxQu3ZtmjRpwrx58wrs37JlyyLHF0IIIYQQQggh3hbapR2A+Ofp6enx2WefMWzYMMzMzEo7nJdSnDqi4r9FS0sLCwuL0g4jn38qpkWLFuHr60uZMiX7nO/Ro0f07t0bd3d31qxZk+9637596dChg8Y5Hx8fHj58SOXKlQsdNzMzk2bNmtGnTx8CAgIKbXfmzBlu376Np6cnjx49Ql9fn6CgIDZv3lxonz59+nDjxg3WrFmDvb09aWlpL6y7PHr0aLZv384333yDqakpgYGB9OjRg7i4OKWNr68vAQEBhIWFoa2tzQ8//ICVlRX169dX2mzYsIH69etTs2bNIucTQog3lV3o9tIOoVApszqXdghCCCGEEP8JskP4P6ht27ZYWFgwc+bMEvXLKzOwYsUKrK2tMTAwoE+fPty9e1dpc/z4cdq1a0fFihUxNTXF09OTU6dOFTpmSkoKKpWKTZs20bx5c/T19WnYsCHnz5/n+PHjuLm5YWRkRMeOHfnzzz+Vfs/ulvXx8WH//v0sXLhQ2bmYkpICwP79+2nUqBG6urpYWloSGhrK48ePAVi7di0VKlQgOztbI6Zu3boxaNCgEq1Nbm4uY8eOpXz58lhYWBAeHq5x/c6dO/j7+1OpUiVMTExo3bo1p0+fLvbahoeHExUVxXfffafcY2xsLADjxo2jZs2aGBgYUL16dSZMmEBOTo7G/LNmzcLc3BxjY2OGDh1aYOmF1atX4+TkhJ6eHrVq1WLp0qUa1//44w/69+9P+fLlMTQ0xM3NjaNHjwKQnJxM165dMTc3x8jIiIYNG7J7926N/kuXLsXBwQE9PT3Mzc3p1auXcq1ly5YEBgYSGBiIqakpFStWZMKECTxf4jwrKws/Pz+MjY2xsbFh5cqVyrW836W8naixsbGoVCr27NmDm5sbBgYGeHh4kJSUpDHmtGnTqFy5MsbGxvj7+xMaGqpRTiM3N5cpU6ZQtWpVdHV1qVevHjt37lSuP3r0iMDAQCwtLdHT08PW1lbj39azJRryYtyyZQutWrXCwMAAFxcXDh8+rBHTwYMHlX8P1tbWBAUFkZmZme89y/Pnn3+yd+9evL29Nc5fuHCBFi1aoKenR+3atdm1a1e+vpMnT2b06NHUqVOnwLH19fWxsLBQXlpaWuzdu5ehQ4cWGg/AoEGDmDhxIm3bti2y3XfffUeHDh0oW7YshoaGLFu2jICAgEIT6Tt37mT//v3s2LGDtm3bYmdnh7u7O02bNi10jrt377JmzRrmzZtH69atadCgARERERw6dIgjR44o7dq1a0d6ejr79+8HoHr16oSFhTFp0iTu3LlDnz592Ldvn5SUEEIIIYQQQgjxVpOE8H+QlpYWM2bMYPHixfzxxx8l6nvx4kU2bdrE999/z86dO/nll18YMWKEcv3+/fsMGTKEgwcPcuTIERwcHOjUqRP3798vctxJkybx6aefcurUKbS1tRkwYABjx45l4cKFHDhwgIsXLzJx4sQC+y5cuBB3d3cCAgJIS0sjLS0Na2trrl69SqdOnWjYsCGnT59m2bJlrFmzhmnTpgHQu3dvnjx5QkxMjDLWzZs32b59O35+fiVal6ioKAwNDTl69CizZ89mypQpGsm33r17c/PmTX788UdOnjxJ/fr1adOmDenp6cVa2+DgYPr06UOHDh2Ue/Tw8ADA2NiYyMhIEhISWLhwIatWrdKoobtp0ybCw8OZMWMGJ06cwNLSMl+yNzo6mokTJzJ9+nQSExOZMWMGEyZMICoqCoCMjAw8PT25evUqMTExnD59mrFjxyq7MjMyMujUqRN79uzhl19+oUOHDnh7e5OamgrAiRMnCAoKYsqUKSQlJbFz505atGiRbw21tbU5duwYCxcuZN68eaxevVqjzdy5c3Fzc1PW5oMPPsiX4H3e+PHjmTt3LidOnEBbW1vjvY2Ojmb69Ol89tlnnDx5EhsbG5YtW6bRf+HChcydO5c5c+Zw5swZvLy8ePfdd7lw4QLwdGduTEwMmzZtIikpiejoaOzs7F4YU3BwMPHx8dSsWZP+/fsrH1QkJyfToUMHevbsyZkzZ9i4cSMHDx4kMDCw0PEOHjyIgYEBTk5Oyrnc3Fx69OiBjo4OR48eZfny5YwbN67IuIpj7dq1GBgYaCT08xLdeR9SlERMTAxdu3YtUXs3Nzdmz55NlSpVqFmzJsHBwcqD5OD/PgzI+2Do5MmT5OTkaCSna9WqhY2NjUYyXkdHh3r16nHgwAHgaRmJn376iQsXLnD69Gnatm3LihUrKF++fInvUwghhBBCCCGEeFNIyYj/qO7du1OvXj0mTZpU4NfEC/Pw4UPWrl1LlSpVAFi8eDGdO3dm7ty5WFhY0Lp1a432K1eupFy5cuzfv58uXboUOm5wcDBeXl4AjBw5kv79+7Nnzx5l19/QoUM1agY/y9TUFB0dHQwMDDR2FS5duhRra2uWLFmCSqWiVq1aXLt2jXHjxjFx4kT09fUZMGAAERER9O7dG4CvvvoKGxubEtcLrVu3LpMmTQLAwcGBJUuWsGfPHtq1a8fBgwc5duwYN2/eRFdXF4A5c+awbds2vv32W95///1ira2+vj7Z2dn5dk5++umnys92dnYEBwezYcMGxo4dC8CCBQsYOnSosqNz2rRpSr3WPJMmTWLu3Ln06NEDeFrTNSEhgRUrVjBkyBDWr1/Pn3/+yfHjx5VkmL29vdLfxcUFFxcX5Xjq1Kls3bqVmJgYAgMDSU1NxdDQkC5dumBsbIytrS2urq4a92Ftbc38+fNRqVQ4Ojpy9uxZ5s+fr1FuoFOnTkqSfNy4ccyfP599+/bh6OhY6Hszffp0PD09AQgNDaVz5848fPgQPT09Fi9ezNChQ/H19QVg4sSJ/O9//yMjI0PpP2fOHMaNG6fU5v3ss8/Yt28fCxYs4IsvviA1NRUHBweaNWuGSqXC1ta20FjyBAcH07nz06/FTp48GWdnZy5evEitWrWYOXMmAwcOVGpiOzg4sGjRIjw9PVm2bBl6enr5xrt8+TLm5uYa5SJ2797Nb7/9xk8//YSVlRUAM2bM+Nv1jNesWcOAAQPQ19dXzpUtWxZHR0cMDAxKNNbVq1c5c+ZMiWL6/fffOXjwIHp6emzdupW//vqLESNGcOvWLSIiIgAwMDDA0dGRsmXLAnD9+nV0dHTy1Ug2Nzfn+vXrGuesrKy4fPkyAElJSYwaNYqGDRvi4uLC7t27iY+PZ/r06QWW28nOztb4xsG9e/eKfV9CCCGEEEIIIcQ/RXYI/4d99tlnREVFkZiYmO+akZGR8ho+fLhy3sbGRklYAri7u5Obm6vs0rxx4wYBAQE4ODhgamqKiYkJGRkZyk7RwtStW1f52dzcHEDjK+zm5uZFPsCqIImJibi7u2s8LK9p06ZkZGQoO6MDAgL43//+x9WrV4GnD9DKe/De8w4cOKCxLtHR0QXGD2BpaanEe/r0aTIyMpSHWeW9Ll26RHJystLnRWtbmI0bN9K0aVMsLCwwMjLi008/1VjvxMREGjdurNHH3d1d+TkzM5Pk5GSGDh2qEd+0adOU+OLj43F1dS10Z2RGRgbBwcE4OTlRrlw5jIyMSExMVOJo164dtra2VK9enUGDBhEdHU1WVpbGGE2aNNFYd3d3dy5cuMCTJ0+Uc8+us0qlwsLC4oW/F8/2sbS0BFD6JCUl0ahRI432zx7fu3ePa9eu5StH0LRpU+XfjY+PD/Hx8Tg6OhIUFMT//ve/IuN5UUynT58mMjJS473w8vIiNzeXS5cuFTjegwcP8iWKExMTsba2VpLBoPm+v4zDhw+TmJiYr1xElSpV+O233/Kt5YvExMTQrFmzAh9mV5jc3FxUKhXR0dE0atSITp06MW/ePKKiopRdwo0aNeK3337T+PdUXPr6+srv5vnz55k+fTpTpkyhXLlySmmbZ8vXPGvmzJmYmpoqL2tr6xLPL4QQQgghhBBCvG6yQ/g/rEWLFnh5eREWFoaPj4/Gtbw6rAAmJibFHnPIkCHcunWLhQsXYmtri66uLu7u7jx69KjIfnk7+QAlKfj8uRc9NOpluLq64uLiwtq1a2nfvj2//vor27cX/LAVNzc3jXXJS1w/H+vz8WZkZGBpaVng1+lLkggryOHDhxk4cCCTJ0/Gy8sLU1NTNmzYwNy5c4s9Rt5u2FWrVuVLHGtpaQFo7AYtSHBwMLt27WLOnDnY29ujr69Pr169lPfd2NiYU6dOERsby//+9z8mTpxIeHg4x48fL9EaFLXOxemT97v1Kn+X6tevz6VLl/jxxx/ZvXs3ffr0oW3btnz77bcvFVNGRgbDhg0jKCgoXz8bG5sCx6tYsSK3b9/+O7dRLKtXr6ZevXo0aNDglYwXExPDu+++W6I+lpaWVKlSRePBkk5OTqjVav744w8cHBzy9bGwsODRo0fcuXNH4/ftxo0b+Xbcp6enU6NGDYB8NZkB+vfvX2hsYWFhjBkzRjm+d++eJIWFEEIIIYQQQrxxJCH8Hzdr1izq1auX7yv3z5YDeFZqairXrl1Tdh0eOXKEMmXKKP3j4uJYunQpnTp1AuDKlSv89ddfr/EOntLR0dHYSQpPk0SbN29GrVYrSbe4uDiMjY2pWrWq0s7f358FCxZw9epV2rZtW2gCR19fv9B1KUr9+vW5fv062traRdaWfdHaFnSPhw4dwtbWlvHjxyvn8r7unsfJyYmjR48yePBg5dyzD9IyNzfHysqK33//nYEDBxYYW926dVm9ejXp6ekF7hKOi4vDx8eH7t27A0+Tmnn1W/Noa2vTtm1b2rZty6RJkyhXrhx79+5VylTkPaDu2RgdHByUpPTr4OjoyPHjxzXW5vjx48rPJiYmWFlZERcXp5SdgKf3++xuWBMTE/r27Uvfvn3p1asXHTp0KHStXqR+/fokJCSU6HfN1dWV69evc/v2baWUgZOTE1euXCEtLU3Zhfzs+15SGRkZbNq0qcQPoyxqvH379uWr2fwiTZs25ZtvviEjIwMjIyPg6U7eMmXKaPy7flaDBg0oW7Yse/bsoWfPnsDT3eGpqan5dk2fO3dOoz5ynuLUR9bV1VXKwgghhBBCCCGEEG8qSQj/x9WpU4eBAweyaNGiYrXX09NjyJAhzJkzh3v37hEUFESfPn2UXXYODg6sW7cONzc37t27R0hIyAt3l74KdnZ2HD16lJSUFIyMjChfvjwjRoxgwYIFfPTRRwQGBpKUlMSkSZMYM2aMRq3VAQMGEBwczKpVq1i7du0rj61t27a4u7vTrVs3Zs+eTc2aNbl27Rrbt2+ne/fuuLm5AS9eWzs7O3766SeSkpKoUKECpqamODg4kJqayoYNG2jYsCHbt29n69atGvOPHDkSHx8f3NzcaNq0KdHR0fz6669Ur15daTN58mSCgoIwNTWlQ4cOZGdnc+LECW7fvs2YMWPo378/M2bMoFu3bsycORNLS0t++eUXrKyscHd3x8HBgS1btuDt7Y1KpWLChAkau3B/+OEHfv/9d1q0aIGZmRk7duwgNzdX44OI1NRUxowZw7Bhwzh16hSLFy8u0U7nl/HRRx8REBCAm5sbHh4ebNy4kTNnzmisTUhICJMmTaJGjRrUq1ePiIgI4uPjlZIh8+bNw9LSEldXV8qUKcM333yDhYXFS+/+HjduHE2aNCEwMBB/f38MDQ1JSEhg165dLFmypMA+rq6uVKxYkbi4OKVWd9u2balZsyZDhgzh888/5969exofHORJTU0lPT2d1NRUnjx5ouyCt7e3VxKu8LQ0yePHj3nvvffyjXH16lXatGnD2rVrlUR53pjXrl0DUEqfWFhYYGFhwc6dO6lZs2a+D0kSEhJ49OgR6enp3L9/X4mnXr16wNN/r1OnTsXX15fJkyfz119/ERISgp+fn/LfmmPHjjF48GD27Nmj7CYeOnQoY8aMoXz58piYmPDRRx/h7u5OkyZNlLlTUlKUD4aEEOLfKmVW59IOQQghhBBClDKpISyYMmVKsb9Cb29vT48ePejUqRPt27enbt26LF26VLm+Zs0abt++Tf369Rk0aBBBQUFUrlz5dYWuCA4ORktLi9q1a1OpUiVSU1OpUqUKO3bs4NixY7i4uDB8+HCGDh2q8RA2ePpQup49e2JkZES3bt1eeWwqlYodO3bQokULfH19qVmzJv369VMeBJbnRWsbEBCAo6Mjbm5uVKpUibi4ON59911Gjx5NYGAg9erV49ChQ0yYMEFj/r59+zJhwgTGjh1LgwYNuHz5Mh988IFGG39/f1avXk1ERAR16tTB09OTyMhIqlWrBjzdnfy///2PypUr06lTJ+rUqcOsWbOU3bvz5s3DzMwMDw8PvL298fLyon79+sr45cqVY8uWLbRu3RonJyeWL1/O119/jbOzs9Jm8ODBPHjwgEaNGvHhhx8ycuRI5YF7r8vAgQMJCwsjODhYKf3g4+OjUY83KCiIMWPG8PHHH1OnTh127txJTEyMUprA2NiY2bNn4+bmRsOGDUlJSWHHjh0aHzqURN26ddm/fz/nz5+nefPmuLq6MnHiRI1awM/T0tLC19dXo651mTJl2Lp1q7Km/v7+TJ8+PV/fiRMn4urqyqRJk8jIyMDV1RVXV1dOnDih0W7NmjX06NGjwER3Tk4OSUlJGnWhY2JicHV1VR6e169fP1xdXVm+fDkA3333XYHlIjp16oSrqyvff/89sbGxSjx5jIyM2LVrF3fu3MHNzY2BAwfi7e2t8aFWVlYWSUlJ5OTkKOfmz59Ply5d6NmzJy1atMDCwoItW7ZozP3111/Tvn37Yj0YUAghhBBCCCGEeFup1Gq1urSDEG+H8PBwtm3bplFH99+iTZs2ODs7F3un9Kv2b17b4mjZsiX16tVjwYIFpR0K7dq1w8LCgnXr1pV2KCVy/fp1nJ2dOXXq1Buf0Hz8+DHm5ub8+OOPJX4Q3evy6NEjHBwcWL9+fb6HCL6se/fuYWpqyt27d0tUi10IIYQQQgghhHgZxf07VEpGiP+027dvExsbS2xsrMZuXPHfkJWVxfLly/Hy8kJLS4uvv/6a3bt3s2vXrtIOrcQsLCxYs2YNqampb3xCOD09ndGjR9OwYcPSDkWRmprKJ5988sqSwUIIIYQQQgghxJtKEsLiP83V1ZXbt2/z2Wef5Xuwnvj3yyvnMX36dB4+fIijoyObN29+a2vIvo6SJ69D5cqV85VuKW329vYv9dBIIYQQQgghhBDibSMlI4QowptUykC8OrGxsbRq1Yrbt2+/9MPfXhU7OztGjRrFqFGjCm3zT5YU2bNnD4GBgZw7d06pEf1fsHPnTkJDQzl16tRL139+npSMEEIIIYQQQgjxTyru36HyUDkhRIlFRkaWeiL13+L48eMaD89TqVRs27ZNo01wcDB79uz5R+IZO3Ysn376qUYy+NGjR8yePRsXFxcMDAyoWLEiTZs2JSIiQnlw28yZM2nYsCHGxsZUrlyZbt26kZSUpIyRnp7ORx99hKOjI/r6+tjY2BAUFMTdu3eLjCcyMhKVSqXxevahf8X17rvvYmNjg56eHpaWlgwaNIhr164p1zt06EDZsmU1HsyXJyUlBR8fnxLPKYQQQgghhBBCvImkZIQQQrwGOTk5lC1b9oXtKlWq9MI2RkZGGBkZvYqwinTw4EGSk5Pp2bOncu7Ro0d4eXlx+vRppk6dStOmTTExMeHIkSPMmTMHV1dX6tWrx/79+/nwww9p2LAhjx8/5pNPPqF9+/YkJCRgaGjItWvXuHbtGnPmzKF27dpcvnyZ4cOHc+3aNb799tsi4zIxMdFILqtUqhLfW6tWrfjkk0+wtLTk6tWrBAcH06tXLw4dOqS08fHxYdGiRQwaNAiA6OhomjRpoiTH1Wo1S5cuZcCAAZiZmZU4BiGEeBPYhW4v7RBKRcqszqUdghBCCCHEG0N2CAvx/2VmZjJ48GCMjIywtLRk7ty5+drcvn2bwYMHY2ZmhoGBAR07duTChQsabeLi4mjZsiUGBgaYmZnh5eXF7du3AcjOziYoKIjKlSujp6dHs2bNOH78uMb4AwcOpFKlSujr6+Pg4EBERIRyfdy4cdSsWRMDAwOqV6/OhAkTlB2a8LS0QL169VixYgXW1tYYGBjQp0+ffLswV69ejZOTE3p6etSqVUvjgXopKSmoVCq2bNlCq1atMDAwwMXFhcOHDwNPyy34+vpy9+5dZcdmeHg4AOvWrcPNzQ1jY2MsLCwYMGAAN2/e1Jj73LlzdOzYESMjI8zNzRk0aBB//fWXcr1ly5YEBQUxduxYypcvj4WFhTJ+ntTUVLp27YqRkREmJib06dOHGzduKPGXKVOGEydOaPRZsGABtra25Obm5ntfX/S+7dy5k2bNmlGuXDkqVKhAly5dSE5OzrdmGzduxNPTEz09PaKjo/Hx8aFbt27MmTMHS0tLKlSowIcffqjxntnZ2SklSezs7ADo3r07KpVKOc57X/MUZ9zs7GyCg4OpUqUKhoaGNG7cmNjY2ALvPc+GDRto166dxg7cBQsW8PPPP7Nnzx4+/PBD6tWrR/Xq1RkwYABHjx7FwcFBWSMfHx+cnZ1xcXEhMjKS1NRUTp48CcA777zD5s2b8fb2pkaNGrRu3Zrp06fz/fff8/jx4yLjUqlUWFhYKC9zc3ON63Z2dsyYMQM/Pz+MjY2xsbFh5cqVGm1Gjx5NkyZNsLW1xcPDg9DQUI4cOaKxZt7e3pw4cUJ5b6tVq8aQIUNYvnw5f/zxBx06dODq1avo6uoWGa8QQgghhBBCCPEmk4SwEP9fSEgI+/fv57vvvuN///sfsbGxnDp1SqONj48PJ06cICYmhsOHD6NWq+nUqZOSVIqPj6dNmzbUrl2bw4cPc/DgQby9vXny5Anw9Ov4mzdvJioqilOnTmFvb4+Xlxfp6ekATJgwgYSEBH788UcSExNZtmwZFStWVOY3NjYmMjKShIQEFi5cyKpVq5g/f75GjBcvXmTTpk18//337Ny5k19++YURI0Yo16Ojo5k4cSLTp08nMTGRGTNmMGHCBKKiojTGGT9+PMHBwcTHx1OzZk369+/P48eP8fDwYMGCBZiYmJCWlkZaWhrBwcHA012xU6dO5fTp02zbti3fV+3v3LlD69atcXV15cSJE+zcuZMbN27Qp08fjbmjoqIwNDTk6NGjzJ49mylTprBr1y4AcnNz6dq1K+np6ezfv59du3bx+++/07dvX+BpcrBt27YaiXSAiIgIfHx8CqwP+6L3LTMzkzFjxnDixAn27NlDmTJl6N69e77kcmhoKCNHjiQxMREvLy8A9u3bR3JyMvv27SMqKorIyEgiIyPzxQAoHw5ERESQlpam8WHB8140bmBgIIcPH2bDhg2cOXOG3r1706FDh3wfYDzrwIEDuLm5aZyLjo6mbdu2uLq65mtftmxZDA0NCxwr70OI8uXLFzpfXk0jbe3/+7KKnZ1dvg8AMjIysLW1xdramq5du/Lrr7/mG2vu3Lm4ubkpv+8ffPCBxq7iZ6WnpxMdHY2Hh4fGLm4bGxvMzc05cOAAAB4eHuzbt4/Dhw8TGxvLqFGjmDFjBgYGBoXekxBCCCGEEEII8aaTkhFC8DThtGbNGr766ivatGkDPE1KVq1aVWlz4cIFYmJiiIuLw8PDA3iaLLO2tmbbtm307t2b2bNn4+bmprHj1tnZGXiaVFy2bBmRkZF07NgRgFWrVrFr1y7WrFlDSEgIqampuLq6Kkm5vB2ieT799FPlZzs7O4KDg9mwYQNjx45Vzj98+JC1a9dSpUoVABYvXkznzp2ZO3cuFhYWTJr0/9i797ge7//x44+36HwSohJJB0mpxISRY05NbNowCdka5lhkZnM+5mzMxsqpMbNhWA5NDjnlEFFObckmZ0qiUv3+8Ov6euugNhP7PO+32/t2876u1+F5Xdd77daz1/v5+pK5c+fSo0cP4OkqyISEBJYvX06/fv2UcYKCgujS5enXKydNmoSjoyOXL1+mXr16GBkZKas2nzVgwADl39bW1ixatIjGjRuTkZGBvr4+S5YswdXVlenTpyvtvvvuOywtLbl48SJ2dnYAODs78+WXXwJga2vLkiVLiIqKon379kRFRREfH88ff/yBpaUlAKtXr8bR0ZHY2FgaN25MQEAAgYGBzJs3Dy0tLU6ePEl8fDxbtmwp8vmX9NwAtRIKBTFXq1aNhIQEGjRooBwfMWKEcl8LVK5cmSVLlqChoUG9evXo0qULUVFRDBo0qFAcBeUjjI2NC93b55U0bkpKCmFhYaSkpGBubg48fZ6RkZGEhYWp3f9nXblyRWlf4NKlS3h6epYYy/Py8vIYMWIEzZs3V7s/z7p9+zZTpkxRq58MULduXbU/gtjb2/Pdd9/h7OxMWloaoaGhNGvWjHPnzqn999m5c2flDx9jx45l/vz57N27F3t7e6XN2LFjWbJkCZmZmTRt2pRt27YVisvc3JwrV64AcPToUYKDg5XE8YIFCzh8+DCfffZZkXWMs7KyyMrKUt6np6eX5nYJIYQQQgghhBCvlKwQFgJISkoiOzubt956SzlmYmKilkxKTEykYsWKam2qVKmCvb09iYmJwP+tNC1ujpycHJo3b64cq1SpEk2aNFH6f/LJJ6xfvx4XFxfGjBmjVt8UYMOGDTRv3pwaNWqgr6/P559/TkpKilqbWrVqKclgAA8PD/Ly8rhw4QIPHz4kKSmJgQMHKnVp9fX1mTp1qloJBHialC1gZmYGUKj8w/NOnDiBt7c3tWrVwsDAgFatWgEoMZ4+fZq9e/eqzV2vXj3l/hQ1d8H8BXMnJiZiaWmpJIMB6tevj7GxsXIffXx80NDQ4OeffwaebkzWunXrQgn2AiU9N3iaFO3VqxfW1tYYGhoq4zx/759fXQtPE8vPbtD27LX8EyWNGx8fT25uLnZ2dmr3et++fYWe87MePXpUKNGZn59f5tiGDBnC2bNnWb9+fZHn09PT6dKlC/Xr1y+0GjgqKoqhQ4cq7z08PPDz88PFxYVWrVrx008/Ua1aNZYvX67W79nPTMEfK56/z8HBwZw6dYpdu3ahoaGBn59foevT0dEhMzMTePrcw8LCCAwMpGbNmkRGRlK9enXl/PNmzJiBkZGR8nr2MyqEEEIIIYQQQrwuZIWwEC+Rjo7OP+rfqVMnrly5wo4dO9i9ezdt27ZlyJAhhIaGcvjwYfr06cOkSZPw8vLCyMiI9evXF1nruDgZGRnA05XJzya2AbXkIqD2VfqCTbyKq78LT1dAe3l54eXlxbp166hWrRopKSl4eXmRnZ2tzO/t7c2sWbMK9S9IOj8/d8H8Jc39PE1NTfz8/AgLC6NHjx5ERESwcOHCYtu/6Ll5e3tTu3Ztvv32W8zNzcnLy6NBgwbKdRUoqnzCP72W4pQ0bkZGBhoaGpw4caLQcy1pc7qqVasqdZML2NnZcf78+VLHNXToULZt28b+/fvVVvAWePDgAR07dsTAwICff/65VBvvPatSpUq4urpy+fLlQsefVdR9rlq1KlWrVsXOzg4HBwcsLS05cuQIHh4eSpu7d+8qK7U//PBD4GmN6IIxhwwZUmxs48aNY9SoUcr79PR0SQoLIYQQQgghhHjtyAphIXj6NfVKlSpx9OhR5di9e/e4ePGi8t7BwYEnT56otblz5w4XLlygfv36wNNVilFRUcXOoampSUxMjHIsJyeH2NhYpT88LRvQr18/1q5dy4IFC5TNsQ4dOkTt2rUZP3487u7u2NraKl9tf1ZKSgrXrl1T3h85coQKFSpgb29P9erVMTc35/fff8fGxkbtVadOnVLfL01NTaW+boHz589z584dZs6cydtvv029evUKrdB0c3Pj3LlzWFlZFZq/uFq0z3NwcODq1atcvXpVOZaQkMD9+/fV7mNAQAB79uxh6dKlPHnypFAph2eV9NwKnvHnn39O27ZtcXBwKJQ0fZkqVapU6N6WlaurK7m5udy8ebPQfS6pFIWrqysJCQlqx3r37s2ePXs4depUofY5OTk8fPgQeLqSeOjQofz888/89ttvRX6e0tPT6dChA5qammzdurXIsgsvkpubS3x8vNofEP6OgmTxsyUeHj9+TFJSUqF6yVZWVsXWfX6WlpYWhoaGai8hhBBCCCGEEOJ1IyuEheDpqsmBAwcSHBxMlSpVMDU1Zfz48WobkNna2tKtWzcGDRrE8uXLMTAwICQkBAsLC7p16wY8XSHo5OTE4MGDCQwMRFNTk71799KzZ0+qVq3KJ598QnBwMCYmJtSqVYvZs2eTmZnJwIEDAfjiiy9o1KgRjo6OZGVlsW3bNhwcHJT5U1JSWL9+PY0bN2b79u1KSYRnaWtr069fP0JDQ0lPT2fYsGH4+voqicBJkyYxbNgwjIyM6NixI1lZWRw/fpx79+6prW4siZWVFRkZGURFRdGwYUN0dXWpVasWmpqaLF68mMDAQM6ePcuUKVPU+g0ZMoRvv/2WXr16MWbMGExMTLh8+TLr169nxYoVhVazFqVdu3Y4OTnRp08fFixYwJMnTxg8eDCtWrVSK9ng4OBA06ZNGTt2LAMGDChxFXBJz83ExIQqVarwzTffYGZmRkpKCiEhIaW6T3+HlZUVUVFRNG/eHC0tLSpXrlzmMezs7OjTpw9+fn7MnTsXV1dXbt26RVRUFM7Ozkpt6Od5eXkV2lxwxIgRbN++nbZt2zJlyhRatGiBgYEBx48fZ9asWaxcuRIXFxeGDBlCREQEW7ZswcDAgOvXrwNgZGSEjo6OkgzOzMxk7dq1pKenKzV2q1Wrpjz7tm3b0r17d6VsxOTJk2natCk2Njbcv3+fOXPmcOXKFQICAkp9P44ePUpsbCwtWrSgcuXKJCUlMWHCBOrWrau2OvjIkSNoaWmpHRNCiP+a5JlF/z9ACCGEEEL875AVwkL8f3PmzOHtt9/G29ubdu3a0aJFCxo1aqTWJiwsjEaNGtG1a1c8PDzIz89nx44dytfV7ezs2LVrF6dPn6ZJkyZ4eHiwZcsWKlZ8+reXmTNn8u6779K3b1/c3Ny4fPkyO3fuVJJ+mpqajBs3DmdnZ1q2bImGhoZSh/Wdd95h5MiRDB06FBcXFw4dOsSECRMKXYeNjQ09evSgc+fOdOjQAWdnZ7XN0gICAlixYgVhYWE4OTnRqlUrwsPDy7RCuFmzZgQGBvL+++9TrVo1Zs+eTbVq1QgPD2fjxo3Ur1+fmTNnEhoaqtbP3NycmJgYcnNz6dChA05OTowYMQJjY2O15HtJVCoVW7ZsoXLlyrRs2ZJ27dphbW3Nhg0bCrUdOHAg2dnZapvdFaWk51ahQgXWr1/PiRMnaNCgASNHjmTOnDmlvldlNXfuXHbv3o2lpWWhlaplERYWhp+fH6NHj8be3h4fHx9iY2OpVatWsX369OnDuXPnuHDhgnJMS0uL3bt3M2bMGJYvX07Tpk1p3LgxixYtYtiwYcqmccuWLSMtLQ1PT0/MzMyUV8FzOXnyJEePHiU+Ph4bGxu1Ns+u9k5KSuL27dvK+3v37jFo0CAcHBzo3Lkz6enpHDp0SG01+Ivo6ury008/0bZtW+zt7Rk4cCDOzs7s27cPLS0tpd33339Pnz590NXVLfXYQgghhBBCCCHEm0aV/3d2DBJCvJYmTpzI5s2biYuLK+9QXgtTpkxh48aNnDlzprxDeWMEBweTnp5eaNO2/7rbt29jb2/P8ePHy/THkZKkp6djZGREWlqalI8QQgghhBBCCPGvK+3vobJCWAjxn5ORkcHZs2dZsmQJn376aXmH80YZP348tWvXfikb371JkpOTWbp06UtLBgshhBBCCCGEEK8rSQgLIf5zhg4dSqNGjfD09HxhuQihztjYmM8++6zUJTz+K9zd3Xn//ffLOwwhhBBCCCGEEOJf97/1G78Q/3ETJ078T5eLsLKyYsGCBS9sFx4eTlZWFhs2bCjVRnUvQ3R0NCqVivv377+S+UpSmvs0ceJEXFxcXkk8UVFRODg4kJub+0rme9m+/vprvL29yzsMIYQQQgghhBDipZCEsBBC/MfExsby0UcfKe9VKhWbN29WaxMUFERUVNQriWfMmDF8/vnnasn57OxsZs+eTcOGDdHV1aVq1ao0b96csLAwcnJyAMjNzWXChAnUqVMHHR0d6taty5QpU3hR6XsrKytUKhUqlQodHR2srKzw9fXlt99+K7L9pk2b8PT0xMjICH19fZydnZk8eTJ3794FYMCAAZw8eZIDBw68pDsihBBCCCGEEEKUn4rlHYAQQpSn7OxsNDU1yzuMUsnJyaFSpUovbFetWrUXttHX10dfX/9lhFWigwcPkpSUxLvvvqscy87OxsvLi9OnTzNlyhSaN2+OoaEhR44cITQ0FFdXV1xcXJg1axbLli1j1apVODo6cvz4cfr374+RkRHDhg0rcd7JkyczaNAgsrOzSU5OZu3atbRr144pU6Ywfvx4pd348eOZNWsWI0eOZPr06Zibm3Pp0iW+/vpr1qxZw/Dhw9HU1KR3794sWrSIt99++1+7V0II8SpYhWwv7xDeGMkzu5R3CEIIIYQQ/wpZISyEeGV+/PFHnJyc0NHRoUqVKrRr146HDx8C4OnpyYgRI9Ta+/j44O/vr3bswYMH9OrVCz09PSwsLPjqq6/Uzt+/f5+AgACqVauGoaEhbdq04fTp08r5glIJK1asoE6dOmhrawOQkpJCt27d0NfXx9DQEF9fX27cuAE83XCsQoUKHD9+XG2uBQsWlLgBW0xMDJ6enujq6lK5cmW8vLy4d+8eAJGRkbRo0QJjY2OqVKlC165dSUpKUvomJyejUqnYsGEDrVq1Qltbm3Xr1uHv74+Pjw+hoaGYmZlRpUoVhgwZoqyqBfWSEVZWVgB0794dlUqlvH++ZERpxs3KyiIoKAgLCwv09PR46623iI6OLvLaC6xfv5727dsr97ngvu3fv5+oqCiGDBmCi4sL1tbW9O7dm6NHj2JrawvAoUOH6NatG126dMHKyor33nuPDh06cOzYsRLnBDAwMKBGjRrUqlWLli1b8s033zBhwgS++OILLly4AMCxY8eYPn06c+fOZc6cOTRr1gwrKyvat2/Ppk2b6NevnzKet7c3W7du5dGjRy+cWwghhBBCCCGEeJ1JQlgI8UqkpqbSq1cvBgwYQGJiItHR0fTo0eOFX/9/3pw5c2jYsCGnTp0iJCSE4cOHs3v3buV8z549uXnzJr/++isnTpzAzc2Ntm3bKl//B7h8+TKbNm3ip59+Ii4ujry8PLp168bdu3fZt28fu3fv5vfff1c2GbOysqJdu3aEhYWpxRIWFoa/v3+RG7DFxcXRtm1b6tevz+HDhzl48CDe3t5KHd2HDx8yatQojh8/TlRUFBUqVKB79+6FkssF15iYmIiXlxcAe/fuJSkpib1797Jq1SrCw8MJDw8v8n7FxsYqsaampirvi/KicYcOHcrhw4dZv349Z86coWfPnnTs2JFLly4VO+aBAwdwd3dXO7Zu3TratWuHq6trofaVKlVCT08PgGbNmhEVFcXFixcBOH36NAcPHqRTp07FzleS4cOHk5+fz5YtW5Q49PX1GTx4cJHtjY2NlX+7u7vz5MkTjh49Wuz4WVlZpKenq72EEEIIIYQQQojXjZSMEEK8EqmpqTx58oQePXpQu3ZtAJycnMo8TvPmzQkJCQHAzs6OmJgY5s+fT/v27Tl48CDHjh3j5s2baGlpARAaGsrmzZv58ccflbq62dnZrF69WimtsHv3buLj4/njjz+wtLQEYPXq1Tg6OhIbG0vjxo0JCAggMDCQefPmoaWlxcmTJ4mPj1eSi8+bPXs27u7uLF26VDnm6Oio/PvZEgoA3333HdWqVSMhIYEGDRoox0eMGEGPHj3U2lauXJklS5agoaFBvXr16NKlC1FRUQwaNKhQHAXXaGxsTI0aNUq8tyWNm5KSQlhYGCkpKZibmwNP6xBHRkYSFhbG9OnTixzzypUrSvsCly5dwtPTs8RY4GkyPD09nXr16qGhoUFubi7Tpk2jT58+L+xbFBMTE0xNTUlOTlbisLa2LlUZDl1dXYyMjLhy5UqxbWbMmMGkSZP+VmxCCCGEEEIIIcSrIiuEhRCvRMOGDWnbti1OTk707NmTb7/9VimfUBYeHh6F3icmJgJPV5BmZGRQpUoVpUauvr4+f/zxh1o5htq1a6vV2U1MTMTS0lJJBgPUr18fY2NjZWwfHx80NDT4+eefAQgPD6d169ZKCYbnFawQLs6lS5fo1asX1tbWGBoaKuOkpKSotXt+dS08TSw/u0GbmZkZN2/eLHau0ipp3Pj4eHJzc7Gzs1O7t/v27VO7t8979OiRWrkIoNSrwn/44QfWrVtHREQEJ0+eZNWqVYSGhrJq1SoApk+frhbL8/euKPn5+ahUqjLFUUBHR4fMzMxiz48bN460tDTldfXq1TKNL4QQQgghhBBCvAqyQlgI8UpoaGiwe/duDh06xK5du1i8eDHjx4/n6NGj1KlThwoVKhRK0D1bv7Y0MjIyMDMzK7Ku7bNf/y8oSVAWmpqa+Pn5ERYWRo8ePYiIiGDhwoXFttfR0SlxPG9vb2rXrs23336Lubk5eXl5NGjQgOzsbLV2RcX6/IpWlUpVbB3jsihp3IyMDDQ0NDhx4oRa0hgocXO6qlWrFkr829nZcf78+RfGExwcTEhICB988AHwdEX5lStXmDFjBv369SMwMBBfX1+l/fMrkZ93584dbt26RZ06dZQ4Dh48WOrN+u7evVvihn1aWlrKynQhhBBCCCGEEOJ1JSuEhRCvjEqlonnz5kyaNIlTp06hqamprLitVq0aqampStvc3FzOnj1baIwjR44Ueu/g4ACAm5sb169fp2LFitjY2Ki9qlatWmxcDg4OXL16VW1FZ0JCAvfv36d+/frKsYCAAPbs2cPSpUuV8hfFcXZ2Jioqqshzd+7c4cKFC3z++ee0bdsWBweHv7VaurQqVaqk1C7+u1xdXcnNzeXmzZuF7m1JpShcXV1JSEhQO9a7d2/27NnDqVOnCrXPyclRNhrMzMwsVJ9ZQ0NDSVKbmJioxVGxYsl/41y4cCEVKlTAx8dHiSMjI0OtrMez7t+/r/w7KSmJx48fF1n3WAghhBBCCCGEeJPICmEhxCtx9OhRoqKi6NChA6amphw9epRbt24pydw2bdowatQotm/fTt26dZk3b55aQq5ATEwMs2fPxsfHh927d7Nx40a2b98OQLt27fDw8MDHx4fZs2djZ2fHtWvX2L59O927dy+y/EJBPycnJ/r06cOCBQt48uQJgwcPplWrVmp9HBwcaNq0KWPHjmXAgAElrgIeN24cTk5ODB48mMDAQDQ1Ndm7dy89e/bExMSEKlWq8M0332BmZkZKSopSF/nfYGVlRVRUFM2bN0dLS4vKlSuXeQw7Ozv69OmDn58fc+fOxdXVlVu3bhEVFYWzszNdunQpsp+Xl5dS4qHAiBEj2L59O23btmXKlCm0aNECAwMDjh8/zqxZs1i5ciUuLi54e3szbdo0atWqhaOjI6dOnWLevHkMGDDghfE+ePCA69evk5OTwx9//MHatWtZsWIFM2bMwMbGBoC33nqLMWPGMHr0aP766y+6d++Oubk5ly9f5uuvv6ZFixYMHz4ceLo5nrW1NXXr1i3zvRNCiNdJ8syif14LIYQQQoj/HbJCWAjxShgaGrJ//346d+6MnZ0dn3/+OXPnzqVTp04ADBgwgH79+uHn50erVq2wtramdevWhcYZPXo0x48fx9XVlalTpzJv3jy8vLyApyuQd+zYQcuWLenfvz92dnZ88MEHXLlyherVqxcbm0qlYsuWLVSuXJmWLVvSrl07rK2t2bBhQ6G2AwcOJDs7+4VJSTs7O3bt2sXp06dp0qQJHh4ebNmyhYoVK1KhQgXWr1/PiRMnaNCgASNHjmTOnDlluZ1lMnfuXHbv3o2lpeU/WuEaFhaGn58fo0ePxt7eHh8fH2JjY6lVq1axffr06cO5c+e4cOGCckxLS4vdu3czZswYli9fTtOmTWncuDGLFi1i2LBhyqZ6ixcv5r333mPw4ME4ODgQFBTExx9/zJQpU14Y6xdffIGZmRk2Njb07duXtLQ0oqKiGDt2rFq7WbNmERERwdGjR/Hy8sLR0ZFRo0bh7OxMv379lHbff/99kZv2CSGEEEIIIYQQbxpVfll31RFCiP9hU6ZMYePGjZw5c6a8Q3ljBAcHk56ezvLly8s7lL/l3LlztGnThosXL2JkZFTqfunp6RgZGZGWloahoeG/GKEQQgghhBBCCFH630NlhbAQQpRCRkYGZ8+eZcmSJXz66aflHc4bZfz48dSuXfulbHxXHlJTU1m9enWZksFCCCGEEEIIIcTrSlYICyFEKfj7+/P999/j4+NDREQEGhoa5R2SeM3JCmEhhBBCCCGEEK+SrBAWQpQLlUrF5s2by9QnOjoalUpV5CZy/8TLHDc8PJysrCw2bNjw2iaDw8PDMTY2/kdjJCcno1KpiIuLeykxldbEiRNxcXF5pXM+qzT3rrxjFEIIIYQQQgghXgZJCAshSm3ZsmU4OztjaGiIoaEhHh4e/Prrr+Ud1hspPDwclUql9tLW1i7vsMpNUFAQUVFR5Tb/+++/z8WLF8ttfiGEEEIIIYQQ4lWpWN4BCCHeHDVr1mTmzJnY2tqSn5/PqlWr6NatG6dOncLR0bG8wyuz3NxcVCoVFSqUz9/GDA0NuXDhgvJepVKVSxyvA319ffT19cttfh0dHXR0dMptfiGEeFWsQraXdwj/U5JndinvEIQQQgghCpEVwkKIUvP29qZz587Y2tpiZ2fHtGnT0NfX58iRI2rtUlNT6dSpEzo6OlhbW/Pjjz+WavwTJ07g7u6Orq4uzZo1U5KlycnJVKhQgePHj6u1X7BggdpmZTt27MDOzg4dHR1at25NcnKyWvuCsgBbt26lfv36aGlpkZKSwr179/Dz86Ny5cro6urSqVMnLl26BMCtW7eoUaMG06dPV8Y5dOgQmpqaREVFlTq2oqhUKmrUqKG8qlev/sJ7dP/+fT7++GOqV6+OtrY2DRo0YNu2bWptdu7ciYODA/r6+nTs2JHU1FTlXF5eHpMnT6ZmzZpoaWnh4uJCZGRkiXOePXuWTp06oa+vT/Xq1enbty+3b99Wznt6ejJs2DDGjBmDiYkJNWrUYOLEiWpjpKSk0K1bN/T19TE0NMTX15cbN24o54sqx/Ddd9/h6OiIlpYWZmZmDB06tNgYY2Njad++PVWrVsXIyIhWrVpx8uTJUt+7okpGzJw5k+rVq2NgYMDAgQN5/PhxifdJCCGEEEIIIYR4E0hCWAjxt+Tm5rJ+/XoePnyIh4eH2rkJEybw7rvvcvr0afr06cMHH3xAYmLiC8ccP348c+fO5fjx41SsWJEBAwYAYGVlRbt27QgLC1NrHxYWhr+/PxUqVODq1av06NEDb29v4uLiCAgIICQkpNAcmZmZzJo1ixUrVnDu3DlMTU3x9/fn+PHjbN26lcOHD5Ofn0/nzp3JycmhWrVqfPfdd0ycOJHjx4/z4MED+vbty9ChQ2nbtm2pYitORkYGtWvXxtLSkm7dunHu3LkS709eXh6dOnUiJiaGtWvXkpCQwMyZM9VqGmdmZhIaGsqaNWvYv38/KSkpBAUFKecXLlzI3LlzCQ0N5cyZM3h5efHOO+8oCfDn3b9/nzZt2uDq6srx48eJjIzkxo0b+Pr6qrVbtWoVenp6HD16lNmzZzN58mR2796txN2tWzfu3r3Lvn372L17N7///jvvv/9+sde6bNkyhgwZwkcffUR8fDxbt27Fxsam2PYPHjygX79+HDx4kCNHjmBra0vnzp158OBBqe/ds3744QcmTpzI9OnTOX78OGZmZixdurTY+QGysrJIT09XewkhhBBCCCGEEK8bVX5+fn55ByGEeHPEx8fj4eHB48eP0dfXJyIigs6dOyvnVSoVgYGBLFu2TDnWtGlT3Nzcik2oRUdH07p1a/bs2UPbtm2Bp6t9u3TpwqNHj9DW1uaHH34gMDCQ1NRUtLS0OHnyJO7u7vz+++9YWVnx2WefsWXLFrWkakhICLNmzeLevXsYGxsTHh5O//79iYuLo2HDhgBcunQJOzs7YmJiaNasGQB37tzB0tKSVatW0bNnTwCGDBnCnj17cHd3Jz4+ntjYWLS0tABeGFtRDh8+zKVLl3B2diYtLY3Q0FD279/PuXPnqFmzZpF9du3aRadOnUhMTMTOzq7Q+YLru3z5MnXr1gVg6dKlTJ48mevXrwNgYWHBkCFD+Oyzz5R+TZo0oXHjxnz11VckJydTp04dTp06hYuLC1OnTuXAgQPs3LlTaf/nn39iaWnJhQsXsLOzw9PTk9zcXA4cOKA2Zps2bZg5cya7d++mU6dO/PHHH1haWgKQkJCAo6Mjx44do3HjxkycOJHNmzcrm9lZWFjQv39/pk6dWuS9eJG8vDyMjY2JiIiga9eupbp3I0aMUDYgbNasGa6urnz11VdKm6ZNm/L48eNiN9ybOHEikyZNKnT8Rbu7CiHEqyQlI14tKRkhhBBCiFcpPT0dIyOjF/4eKiuEhRBlYm9vT1xcHEePHuWTTz6hX79+JCQkqLV5fsWwh4eHskK4oPSAvr5+obrDzs7Oyr/NzMwAuHnzJgA+Pj5oaGjw888/A08TeK1bt1YSromJibz11lslxgGgqampNk9iYiIVK1ZU61ulShXs7e3VVjWHhoby5MkTNm7cyLp165Rk8ItiS0lJUa5XX19fKT3h4eGBn58fLi4utGrVip9++olq1aqxfPlyAKZPn67WLyUlhbi4OGrWrFlkQrOArq6ukgwuuI8F9zA9PZ1r167RvHlztT7NmzcvdgX36dOn2bt3r1os9erVAyApKUlp9+w9fX7exMRELC0tlWQwQP369TE2Ni5y3ps3b3Lt2jXljwOlcePGDQYNGoStrS1GRkYYGhqSkZFBSkoKQKnu3bNK+3l61rhx40hLS1NeV69eLXX8QgghhBBCCCHEqyKbygkhykRTU1P56n6jRo2IjY1l4cKFSiLzRVasWMGjR48AqFSpktq5Z98XbLBWUINXU1MTPz8/wsLC6NGjBxERESxcuLDM8evo6PytzduSkpK4du0aeXl5JCcn4+TkpJwrKTZzc3O1FaUmJiZFjl+pUiVcXV25fPkyAIGBgWplGczNzUu16dnz91SlUvFPvgiSkZGBt7c3s2bNKnSuIGlf3Lwl1U8uyd/Z3K1fv37cuXOHhQsXUrt2bbS0tPDw8CA7O/tvj1lWWlpaan8oEEIIIYQQQgghXkeyQlgI8Y/k5eWRlZWlduz5TeaOHDmCg4MD8LQUgI2NDTY2NtSuXbtMcwUEBLBnzx6WLl3KkydP6NGjh3LOwcGBY8eOlRhHURwcHHjy5AlHjx5Vjt25c4cLFy5Qv359ALKzs/nwww95//33mTJlCgEBAcrq1xfFVrFiReV6bWxsik0I5+bmEh8fryRZTUxM1PpVrFgRZ2dn/vzzTy5evFiKu1WYoaEh5ubmxMTEqB2PiYlRrvV5bm5unDt3DisrK7V4bGxs0NPTK9W8Dg4OXL16VW3FbEJCAvfv3y9yXgMDA6ysrIiKiir1tcXExDBs2DA6d+6sbET37MZ3Zb13Dg4Oap8JKN3nSQghhBBCCCGEeN3JCmEhRKmNGzeOTp06UatWLR48eEBERATR0dFq9WUBNm7ciLu7Oy1atGDdunUcO3aMlStX/uP5HRwcaNq0KWPHjmXAgAFqqz4DAwOZO3cuwcHBBAQEcOLECcLDw184pq2tLd26dWPQoEEsX74cAwMDQkJCsLCwoFu3bsDTze7S0tJYtGgR+vr67NixgwEDBrBt27ZSxVaUyZMn07RpU2xsbLh//z5z5szhypUrBAQEFNunVatWtGzZknfffZd58+ZhY2PD+fPnUalUdOzY8YXXChAcHMyXX35J3bp1cXFxISwsjLi4ONatW1dk+yFDhvDtt9/Sq1cvxowZg4mJCZcvX2b9+vWsWLGi2E3ZntWuXTucnJzo06cPCxYs4MmTJwwePJhWrVrh7u5eZJ+JEycSGBiIqakpnTp14sGDB8TExPDpp58W2d7W1pY1a9bg7u5Oeno6wcHBas+grPdu+PDh+Pv74+7uTvPmzVm3bh3nzp3D2tr6hdcrhBCvM6lpK4QQQgghZIWwEKLUbt68iZ+fH/b29rRt25bY2Fh27txJ+/bt1dpNmjSJ9evX4+zszOrVq/n++++LXYFaVgMHDiQ7O5sBAwaoHa9VqxabNm1i8+bNNGzYkK+//lqp1/siYWFhNGrUiK5du+Lh4UF+fj47duygUqVKREdHs2DBAtasWYOhoSEVKlRgzZo1HDhwQG3jvJJiK8q9e/cYNGgQDg4OdO7cmfT0dA4dOvTC+7Rp0yYaN25Mr169qF+/PmPGjCE3N7dU1wkwbNgwRo0axejRo3FyciIyMpKtW7dia2tbZPuCFcW5ubl06NABJycnRowYgbGxMRUqlO5/ISqVii1btlC5cmVatmxJu3btsLa2ZsOGDcX26devHwsWLGDp0qU4OjrStWtXLl26VGz7lStXcu/ePdzc3Ojbty/Dhg3D1NRUrU1Z7t3777/PhAkTGDNmDI0aNeLKlSt88sknpbpeIYQQQgghhBDidabK/yfFJYUQ4hWbMmUKGzdu5MyZM+UdSiGvc2zi1Svt7q5CCCGEEEIIIcTLUNrfQ2WFsBDijZCRkcHZs2dZsmRJsWUDysvrHJsQQgghhBBCCCHEsyQhLIR4IwwdOpRGjRrh6elZqpIMr9LrHJsQQgghhBBCCCHEsyQhLIR4I4SHh5OVlcWGDRtKtZHZy5zX2Nj4hW1eZmzR0dGoVCru379f6j4TJ07ExcXlH8/9byvttUVFReHg4FCm+sj/loSEBGrWrMnDhw/LOxQhhBBCCCGEEOIfk4SwEOI/YcaMGTRu3BgDAwNMTU3x8fHhwoUL5R2W+JvGjBnD559/riTYU1NT6d27N3Z2dlSoUIERI0YU2W/BggXY29ujo6ODpaUlI0eO5PHjxyXONW3aNJo1a4aurm6Ryf/69evTtGlT5s2b908vSwghhBBCCCGEKHcVyzsAIYR4Gfbt28eQIUNo3LgxT5484bPPPqNDhw4kJCSgp6dX3uH95+Xn55Obm0vFiv/8fysHDx4kKSmJd999VzmWlZVFtWrV+Pzzz5k/f36R/SIiIggJCeG7776jWbNmXLx4EX9/f1QqVYnJ3OzsbHr27ImHhwcrV64ssk3//v0ZNGgQ48aNeynXKMT/IquQ7eUdggCSZ3Yp7xCEEEIIIUQ5kxXCQoj/hMjISPz9/XF0dKRhw4aEh4eTkpLCiRMnSux37949/Pz8qFy5Mrq6unTq1IlLly6V2GfLli24ubmhra2NtbU1kyZN4smTJ8r5lJQUunXrhr6+PoaGhvj6+nLjxg0AkpOTqVChAsePH1cbc8GCBdSuXZu8vLwi5/z222+xtLREV1eX7t27M2/evGJLWezfv59KlSpx/fp1teMjRozg7bffVt7HxMTg6emJrq4ulStXxsvLi3v37gGQl5fHjBkzqFOnDjo6OjRs2JAff/xR6VtQ+uHXX3+lUaNGaGlpcfDgQbKyshg2bBimpqZoa2vTokULYmNjS7yfz1u/fj3t27dHW1tbOWZlZcXChQvx8/PDyMioyH6HDh2iefPm9O7dGysrKzp06ECvXr04duxYifNNmjSJkSNH4uTkVGyb9u3bc/fuXfbt21emaxFCCCGEEEIIIV43khAWQvwnpaWlAWBiYlJiO39/f44fP87WrVs5fPgw+fn5dO7cmZycnCLbHzhwAD8/P4YPH05CQgLLly8nPDycadOmAU8Tqd26dVOSh7t37+b333/n/fffB54mNtu1a0dYWJjauGFhYfj7+1OhQuEfyzExMQQGBjJ8+HDi4uJo3769Ml9RWrZsibW1NWvWrFGO5eTksG7dOmXTu7i4ONq2bUv9+vU5fPgwBw8exNvbW6nZO2PGDFavXs3XX3/NuXPnGDlyJB9++GGhhGhISAgzZ84kMTERZ2dnxowZw6ZNm1i1ahUnT57ExsYGLy8v7t69W+JzeP4eu7u7l7p9gWbNmnHixAklAfz777+zY8cOOnfurLQJDw9HpVKVeWxNTU1cXFw4cOBAsW2ysrJIT09XewkhhBBCCCGEEK8b+d6rEOI/Jy8vjxEjRtC8eXMaNGhQbLtLly6xdetWYmJiaNasGQDr1q3D0tKSzZs307Nnz0J9Jk2aREhICP369QPA2tqaKVOmMGbMGL788kuioqKIj4/njz/+wNLSEoDVq1fj6OhIbGwsjRs3JiAggMDAQObNm4eWlhYnT54kPj6eLVu2FBnn4sWL6dSpE0FBQQDY2dlx6NAhtm3bVuy1DRw4kLCwMIKDgwH45ZdfePz4Mb6+vgDMnj0bd3d3li5dqvRxdHQEniY2p0+fzp49e/Dw8FCu8+DBgyxfvpxWrVopfSZPnkz79u0BePjwIcuWLSM8PJxOnToBT1c27969m5UrVyqxvMiVK1cwNzcvVdtn9e7dm9u3b9OiRQvy8/N58uQJgYGBfPbZZ0obIyMj7O3tyzw2gLm5OVeuXCn2/IwZM5g0adLfGlsIIYQQQgghhHhVZIWwEOI/Z8iQIZw9e5b169crxwIDA9HX11deAImJiVSsWJG33npLaVelShXs7e1JTEwscuzTp08zefJktbEGDRpEamoqmZmZJCYmYmlpqSSD4emmZMbGxsqYPj4+aGho8PPPPwNPV622bt0aKyurIue8cOECTZo0UTv2/Pvn+fv7c/nyZY4cOaLM4evrq9RTLlghXJTLly+TmZlJ+/bt1a5z9erVJCUlqbV9diVvUlISOTk5NG/eXDlWqVIlmjRpUuz9LMqjR4/UykWUVnR0NNOnT2fp0qWcPHmSn376ie3btzNlyhSlTffu3Tl//nyZxwbQ0dEhMzOz2PPjxo0jLS1NeV29evVvzSOEEEIIIYQQQvybZIWwEOI/ZejQoWzbto39+/dTs2ZN5fjkyZOVFbb/REZGBpMmTaJHjx6FzpU2iampqYmfnx9hYWH06NGDiIgIFi5c+I9je5apqSne3t6EhYVRp04dfv31V6Kjo5XzOjo6xfbNyMgAYPv27VhYWKid09LSUnv/b2zYV7VqVaWWcVlMmDCBvn37EhAQAICTkxMPHz7ko48+Yvz48UWW4yiLu3fvUrdu3WLPa2lpFbo/QgghhBBCCCHE60YSwkKI/4T8/Hw+/fRTfv75Z6Kjo6lTp47aeVNTU0xNTdWOOTg48OTJE44ePaqUjLhz5w4XLlygfv36Rc7j5ubGhQsXsLGxKfK8g4MDV69e5erVq8oq4YSEBO7fv682ZkBAAA0aNGDp0qU8efKkyARzAXt7+0Ibs5Vmo7aAgAB69epFzZo1qVu3rtrKXWdnZ6KioooscVC/fn20tLRISUlRKw/xInXr1kVTU5OYmBhq164NPK1dHBsby4gRI0o9jqurKwkJCaVuXyAzM7NQ0ldDQwN4+vn4p86ePct77733j8cRQgghhBBCCCHKkySEhRD/CUOGDCEiIoItW7ZgYGDA9evXgac1Y4tbDWtra0u3bt0YNGgQy5cvx8DAgJCQECwsLOjWrVuRfb744gu6du1KrVq1eO+996hQoQKnT5/m7NmzTJ06lXbt2uHk5ESfPn1YsGABT548YfDgwbRq1UqtvIKDgwNNmzZl7NixDBgwoMQVu59++iktW7Zk3rx5eHt789tvv/Hrr7++cHM0Ly8vDA0NmTp1KpMnT1Y7N27cOJycnBg8eDCBgYFoamqyd+9eevbsSdWqVQkKCmLkyJHk5eXRokUL0tLSiImJwdDQUKmf/Dw9PT0++eQTgoODMTExoVatWsyePZvMzEwGDhxYYqzPx71q1apCx+Pi4oCnK5hv3bpFXFwcmpqaSqLd29ubefPm4erqyltvvcXly5eZMGEC3t7eSmL4559/Zty4cWplI1JSUrh79y4pKSnk5uYq89jY2CjlRZKTk/nrr79o165dqa9DCKEueWaX8g5BCCGEEEIIAZAvhBD/AUCRr7CwsBL73b17N79v3775RkZG+To6OvleXl75Fy9eVM6HhYXlGxkZqfWJjIzMb9asWb6Ojk6+oaFhfpMmTfK/+eYb5fyVK1fy33nnnXw9Pb18AwOD/J49e+Zfv3690NwrV67MB/KPHTumdnzv3r35QP69e/eUY998802+hYVFvo6OTr6Pj0/+1KlT82vUqKGc//LLL/MbNmxYaI4JEybka2ho5F+7dq3Quejo6PxmzZrla2lp5RsbG+d7eXkpc+bl5eUvWLAg397ePr9SpUr51apVy/fy8srft29fsTHm5+fnP3r0KP/TTz/Nr1q1ar6WllZ+8+bN1a6vuH7PunPnTr62tnb++fPn1Y4X9Xxr166tnM/JycmfOHFift26dfO1tbXzLS0t8wcPHqw2V1hYWP7z/+vr169fkWPv3btXaTN9+vR8Ly+vYmMuSlpaWj6Qn5aWVqZ+QgghhBBCCCHE31Ha30NV+fkv4Xu0QgghymzKlCls3LiRM2fOlLnvoEGDOH/+PAcOHCix3cCBA7l16xZbt279u2GWi+DgYNLT01m+fHl5h0J2dja2trZERESold14kfT0dIyMjEhLS8PQ0PBfjFAIIYQQQgghhCj976H/bIcdIYQQZZaRkcHZs2dZsmQJn376aan6hIaGcvr0aS5fvszixYtZtWpVsaUbANLS0jh48CARERGlnuN1Mn78eGrXrk1eXl55h0JKSgqfffZZmZLBQgghhBBCCCHE60pWCAshxCvm7+/P999/j4+PDxEREUp925L4+voSHR3NgwcPsLa25tNPPyUwMLDY9p6enhw7doyPP/6Y+fPnv8zwRSnJCmEhhBBCCCGEEK+SrBAWQvznJScno1KplE3AoqOjUalU3L9//1+b42UIDw8nKyuLDRs2FJsMVqlUbN68WXn/ww8/cPPmTR49esS5c+cKJYOfv/bo6GgyMzNfy2Tw89dWlDt37mBqakpycvIriakkt2/fxtTUlD///LO8QxFCCCGEEEIIIf4xSQgLIV4LM2bMoHHjxhgYGGBqaoqPjw8XLlwo0xjNmjUjNTUVIyOjfylK8apMmzaNbt26YWVlpRwbNmwYjRo1QktLCxcXlyL77dy5k6ZNm2JgYEC1atV49913S0wq5+TkMHbsWJycnNDT08Pc3Bw/Pz+uXbumtKlatSp+fn58+eWXL+nqhBBCCCGEEEKI8lOxvAMQQgiAffv2MWTIEBo3bsyTJ0/47LPP6NChAwkJCejp6ZVqDE1NTWrUqPEvRyqKk5OTQ6VKlf7xOJmZmaxcuZKdO3cWOjdgwACOHj1a5EZ8f/zxB926dWPUqFGsW7eOtLQ0Ro4cSY8ePTh58mSxc508eZIJEybQsGFD7t27x/Dhw3nnnXc4fvy40q5///40atSIOXPmYGJi8o+v8XVjFbK9vEMQQrwiyTO7lHcIQgghhBCinMkKYSHEayEyMhJ/f38cHR1p2LAh4eHhpKSkcOLEiVKP8XzZhPDwcIyNjdm5cycODg7o6+vTsWNHUlNTlT55eXlMnjyZmjVrKitPIyMjS5zn7NmzdOrUCX19fapXr07fvn25ffu2cj4rK4thw4ZhamqKtrY2LVq0IDY2FoD8/HxsbGwIDQ1VGzMuLg6VSsXly5eLnPPQoUO4uLigra2Nu7s7mzdvLraUxcOHDzE0NOTHH39UO75582b09PR48OABAH/++Se9evXCxMQEPT093N3dOXr0qNJ+y5YtuLm5oa2tjbW1NZMmTeLJkyfKeZVKxbJly3jnnXfQ09Nj2rRpACxbtoy6deuiqamJvb09a9asKfF+Pm/Hjh1oaWnRtGlTteOLFi1iyJAhWFtbF9nvxIkT5ObmMnXqVOrWrYubmxtBQUHExcWRk5NTZB8jIyN2796Nr68v9vb2NG3alCVLlnDixAlSUlKUdo6Ojpibm/Pzzz+X6VqEEEIIIYQQQojXjSSEhRCvpbS0NIB/vBozMzOT0NBQ1qxZw/79+0lJSSEoKEg5v3DhQubOnUtoaChnzpzBy8uLd955h0uXLhU53v3792nTpg2urq4cP36cyMhIbty4ga+vr9JmzJgxbNq0iVWrVnHy5ElsbGzw8vLi7t27qFQqBgwYQFhYmNq4YWFhtGzZEhsbm0Jzpqen4+3tjZOTEydPnmTKlCmMHTu22GvW09Pjgw8+KHKO9957DwMDAzIyMmjVqhV//fUXW7du5fTp04wZM4a8vDwADhw4gJ+fH8OHDychIYHly5cTHh6uJH0LTJw4ke7duxMfH8+AAQP4+eefGT58OKNHj+bs2bN8/PHH9O/fn7179xYb7/MOHDhAo0aNSt2+QKNGjahQoQJhYWHk5uaSlpbGmjVraNeunbJyuaAmdHR0dLHjpKWloVKpMDY2VjvepEkTDhw4UGy/rKws0tPT1V5CCCGEEEIIIcTrRhLCQojXTl5eHiNGjKB58+Y0aNDgH42Vk5PD119/jbu7O25ubgwdOpSoqCjlfGhoKGPHjuWDDz7A3t6eWbNm4eLiwoIFC4ocb8mSJbi6ujJ9+nTq1auHq6sr3333HXv37uXixYs8fPiQZcuWMWfOHDp16kT9+vX59ttv0dHRYeXKlQD4+/tz4cIFjh07psQYERHBgAEDipwzIiIClUrFt99+S/369enUqRPBwcElXndAQAA7d+5UVkPfvHmTHTt2KHNERERw69YtNm/eTIsWLbCxscHX1xcPDw8AJk2aREhICP369cPa2pr27dszZcoUli9frjZP79696d+/P9bW1tSqVYvQ0FD8/f0ZPHgwdnZ2jBo1ih49ehRaEV2SK1euYG5uXur2BerUqcOuXbv47LPP0NLSwtjYmD///JMffvhBaVOpUiXs7e3R1dUtcozHjx8zduxYevXqVWhHVnNzc65cuVLs/DNmzMDIyEh5WVpalvkahBBCCCGEEEKIf5skhIUQr50hQ4Zw9uxZ1q9frxwLDAxEX19feZWWrq4udevWVd6bmZlx8+ZN4OnK22vXrtG8eXO1Ps2bNycxMbHI8U6fPs3evXvVYqlXrx4ASUlJJCUlkZOTozZmpUqVaNKkiTKmubk5Xbp04bvvvgPgl19+ISsri549exY554ULF3B2dkZbW1s51qRJkxKvu0mTJjg6OrJq1SoA1q5dS+3atWnZsiXwtESFq6trsSuwT58+zeTJk9Wuc9CgQaSmppKZmam0c3d3V+uXmJhYpvtZlEePHqlda2ldv36dQYMG0a9fP2JjY9m3bx+ampq899575OfnA2BhYcH58+eLvH85OTn4+vqSn5/PsmXLCp3X0dFRu/bnjRs3jrS0NOV19erVMl+DEEIIIYQQQgjxb5NN5YQQr5WhQ4eybds29u/fT82aNZXjkydPViv1UFrPb3KmUqmU5ODfkZGRgbe3N7NmzSp0zszMjKSkpFKNExAQQN++fZk/fz5hYWG8//77xa5a/bsCAgL46quvCAkJISwsjP79+6NSqYCnyc2SZGRkMGnSJHr06FHo3LPJ2tJu+FcWVatW5d69e2Xu99VXX2FkZMTs2bOVY2vXrsXS0pKjR48Wqkn8rIJk8JUrV/jtt98KrQ4GuHv3LtWqVSt2DC0tLbS0tMoctxBCCCGEEEII8SpJQlgI8VrIz8/n008/5eeffyY6Opo6deqonTc1NcXU1PSlzmloaIi5uTkxMTG0atVKOR4TE1PsClw3Nzc2bdqElZUVFSsW/hFasJlaTEwMtWvXBp4mG2NjYxkxYoTSrnPnzujp6bFs2TIiIyPZv39/sXHa29uzdu1asrKylIRjwSZ1Jfnwww8ZM2YMixYtIiEhgX79+innnJ2dWbFiBXfv3i1ylbCbmxsXLlwosqZxSRwcHIiJiVGbKyYmhvr165d6DFdXV9auXVumeeFpvegKFdS/+KKhoQGg1EYuSkEy+NKlS+zdu5cqVaoU2e7s2bN4enqWOa43QfLMLuUdghBCCCGEEEKIV0RKRgghXgtDhgxh7dq1REREYGBgwPXr17l+/TqPHj36V+cNDg5m1qxZbNiwgQsXLhASEkJcXBzDhw8vNs67d+/Sq1cvYmNjSUpKYufOnfTv35/c3Fz09PT45JNPCA4OJjIykoSEBAYNGkRmZiYDBw5UxtHQ0MDf359x48Zha2ur1O4tSu/evcnLy+Ojjz4iMTGRnTt3KjV5C1b8FqVy5cr06NGD4OBgOnTooLbiulevXtSoUQMfHx9iYmL4/fff2bRpE4cPHwbgiy++YPXq1UyaNIlz586RmJjI+vXr+fzzz194P8PDw1m2bBmXLl1i3rx5/PTTT2Va3e3l5cW5c+cKrRK+fPkycXFxyuciLi6OuLg4srOzAejSpQuxsbFMnjyZS5cucfLkSfr370/t2rVxdXUF4K+//qJevXpq9Zvfe+89jh8/zrp168jNzVU+ewXjwtNk84kTJ+jQoUOpr0MIIYQQQgghhHgdSUJYCPFaWLZsGWlpaXh6emJmZqa8NmzY8K/OO2zYMEaNGsXo0aNxcnIiMjKSrVu3YmtrW2T7ghXFubm5dOjQAScnJ0aMGIGxsbGyOnXmzJm8++679O3bFzc3Ny5fvszOnTupXLmy2lgDBw4kOzub/v37lxijoaEhv/zyC3Fxcbi4uDB+/Hi++OILgBfW2i2Y4/kN6zQ1Ndm1axempqZ07twZJycnZs6cqayo9fLyYtu2bezatYvGjRvTtGlT5s+fr6x6Lo6Pjw8LFy4kNDQUR0dHli9fTlhYWJlW1jo5OeHm5qa2GRw8LYHh6urK8uXLuXjxIq6urri6unLt2jUA2rRpQ0REBJs3b8bV1ZWOHTuipaVFZGSkUiIjJyeHCxcuKLWA//rrL7Zu3cqff/6Ji4uL2mfv0KFDytxbtmyhVq1avP3226W+DiGEEEIIIYQQ4nWkyv8nxTSFEEL8bQcOHKBt27ZcvXqV6tWrl6nvunXr6N+/P2lpaSXWA16zZg0jR47k2rVraGpq/tOQX5nt27cTHBzM2bNnC5WBKA9NmzZl2LBh9O7du9R90tPTMTIyIi0trciaxEIIIYQQQgghxMtU2t9DpYawEEK8YllZWdy6dYuJEyfSs2fPUiWDV69ejbW1NRYWFpw+fZqxY8fi6+tbbDI4MzOT1NRUZs6cyccff/xGJYPhafmHS5cu8ddff2FpaVmusdy+fZsePXrQq1evco1DCCGEEEIIIYR4Gcp/2ZUQQvwLwsPDMTY2LrGNv78/Pj4+Jbbx9PRU2wzuZfj++++pXbs29+/fZ/bs2YXOFxX79evX+fDDD3FwcGDkyJH07NmTb775Rjn//LXMnj2bevXqUaNGDcaNG/dS4/8nSvNcAFauXMmOHTvKPRkMMHToUDQ0NEqs1yyEEEIIIYQQQrwpJCEshCiV/fv34+3tjbm5OSqVis2bN5d3SP/YwoULCQ8Pf+Xz+vv7k5uby4kTJ7CwsChVnzFjxpCcnMzjx4/5448/mD9/Prq6usW2nzhxIjk5OURFRaGvr/+yQn8lHj9+zIQJE/jyyy+VY99++y1vv/02lStXpnLlyrRr107ZGK5Afn4+X3zxBWZmZujo6NCuXTsuXbpU6nljYmKoWLEiLi4uasc///xzpk2bRlpa2j+6LiGEEEIIIYQQ4nUgJSOEEKXy8OFDGjZsyIABA+jRo8e/Nk9ubi4qleqV1I01MjL61+f4X/Eyn9uPP/6IoaEhzZs3V45FR0fTq1cvmjVrhra2NrNmzaJDhw6cO3dOSarPnj2bRYsWsWrVKurUqcOECRPw8vIiISHhhZvv3b9/Hz8/P9q2bcuNGzfUzjVo0IC6deuydu1ahgwZ8o+vT4j/dVYh28s7hP9pyTO7lHcIQgghhBCinMkKYSFEqXTq1ImpU6fSvXv3MvWbN28eTk5O6OnpYWlpyeDBg8nIyFDOF5QQ2Lp1K/Xr10dLS4uUlBRiY2Np3749VatWxcjIiFatWnHy5Em1se/fv8/HH39M9erV0dbWpkGDBmzbtk2tzc6dO3FwcEBfX5+OHTuSmpqqnHu+zMLDhw/x8/NDX18fMzMz5s6dW+h67t27h5+fH5UrV0ZXV5dOnTqprUItuJ7i5t2/fz+VKlXi+vXrauOOGDGCt99+u9j7OHXqVExNTTEwMCAgIICQkJBCK1kLrF69mipVqpCVlaV23MfHh759+yrvf/nlFxo3boy2tjZVq1ZVe7ZZWVkEBQVhYWGBnp4eb731FtHR0YWu8/nn9qL7Uxrr16/H29tb7di6desYPHgwLi4u1KtXjxUrVpCXl0dUVBTwdHXwggUL+Pzzz+nWrRvOzs6sXr2aa9eulWo1e2BgIL1798bDw6PI897e3qxfv75M1yGEEEIIIYQQQryOJCEshPhXVahQgUWLFnHu3DlWrVrFb7/9xpgxY9TaZGZmMmvWLFasWMG5c+cwNTXlwYMH9OvXj4MHD3LkyBFsbW3p3LkzDx48ACAvL49OnToRExPD2rVrSUhIYObMmWhoaKiNGxoaypo1a9i/fz8pKSkEBQUVG2twcDD79u1jy5Yt7Nq1i+jo6EJJaH9/f44fP87WrVs5fPgw+fn5dO7cmZycnFLN27JlS6ytrVmzZo3SPicnh3Xr1jFgwIAi41q3bh3Tpk1j1qxZnDhxglq1arFs2bJir6Nnz57k5uaydetW5djNmzfZvn27Msf27dvp3r07nTt35tSpU0RFRdGkSROl/dChQzl8+DDr16/nzJkz9OzZk44dO6old4t6bqW5Py9y8OBB3N3dS2yTmZlJTk4OJiYmAPzxxx9cv36ddu3aKW2MjIx46623OHz4sHLM09MTf39/tbHCwsL4/fff1UpUPK9JkyYcO3asUJJdCCGEEEIIIYR400jJCCHEv+rZDdmsrKyYOnUqgYGBLF26VDmek5PD0qVLadiwoXKsTZs2auN88803GBsbs2/fPrp27cqePXs4duwYiYmJ2NnZAWBtba3WJycnh6+//pq6desCT5OckydPLjLOjIwMVq5cydq1a2nbti0Aq1atombNmkqbS5cusXXrVmJiYmjWrBnwNFlraWnJ5s2b6dmzZ6nmHThwIGFhYQQHBwNPV+o+fvwYX1/fImNbvHgxAwcOpH///gB88cUX7Nq1S22l9bN0dHTo3bs3YWFhSkxr166lVq1aeHp6AjBt2jQ++OADJk2apPQruP8pKSmEhYWRkpKCubk5AEFBQURGRhIWFsb06dOV63z2uZX2/pTk/v37pKWlKfMWZ+zYsZibmysJ4IIV19WrV1drV716dbXV2LVq1cLMzEx5f+nSJUJCQjhw4AAVKxb/v0Rzc3Oys7O5fv06tWvXLrJNVlaWWsI4PT29xGsQQgghhBBCCCHKg6wQFkK8FNOnT0dfX195paSkALBnzx7atm2LhYUFBgYG9O3blzt37pCZman01dTUxNnZWW28GzduMGjQIGxtbTEyMsLQ0JCMjAxl3Li4OGrWrKkkg4uiq6urJGUBzMzMuHnzZpFtk5KSyM7O5q233lKOmZiYYG9vr7xPTEykYsWKam2qVKmCvb09iYmJpZ7X39+fy5cvc+TIEeBp+QVfX1/09PSKjO3ChQtqq3eBQu+fN2jQIHbt2sVff/2lzOHv749KpQKe3r+CxPfz4uPjyc3Nxc7OTu2Z7tu3j6SkJKXd88+ttPenJI8ePQIosebvzJkzWb9+PT///PMLawM/b/Xq1cyYMQN4Wve4d+/eTJo0qcTPETxNsgNqn9vnzZgxAyMjI+VlaWlZptiEEEIIIYQQQohXQVYICyFeisDAQLUVrubm5iQnJ9O1a1c++eQTpk2bhomJCQcPHmTgwIFkZ2ejq6sLPE22FSQqC/Tr1487d+6wcOFCateujZaWFh4eHmRnZyt9XqRSpUpq71UqFfn5+f/0Uv/xvKampnh7exMWFkadOnX49ddf1erzvgyurq40bNiQ1atXK5uvbd/+fxs5lXT/MjIy0NDQ4MSJE2olOAD09fXVxnj+uf1TVapUQaVSce/evSLPh4aGMnPmTPbs2aOWjK5Rowbw9A8Jz64AvnHjRrG1lh88eMDx48c5deoUQ4cOBZ6WIsnPz6dixYrs2rVLWal+9+5dAKpVq1Zs7OPGjWPUqFHK+/T0dEkKCyGEEEIIIYR47cgKYSHES2FiYoKNjY3yqlixIidOnCAvL4+5c+fStGlT7OzsuHbtWqnGi4mJYdiwYXTu3BlHR0e0tLS4ffu2ct7Z2Zk///yTixcvvpT469atS6VKlTh69Khy7N69e2rjOzg48OTJE7U2d+7c4cKFC9SvX79M8wUEBLBhwwa++eYb6tatS/PmzYtta29vT2xsrNqx598XN0d4eDhhYWG0a9dOLTnp7OysbMj2PFdXV3Jzc7l586baM7WxsVESr0V5GfdHU1OT+vXrk5CQUOjc7NmzmTJlCpGRkYVqDNepU4caNWqoXVN6ejpHjx4tdqM4Q0ND4uPjiYuLU16BgYHY29sTFxenttL57Nmz1KxZk6pVqxYbu5aWFoaGhmovIYQQQgghhBDidSMrhIUQpZKRkcHly5eV93/88QdxcXGYmJhQq1atIvvY2NiQk5PD4sWL8fb2JiYmhq+//rpU89na2rJmzRrc3d1JT08nODhYbVVrq1ataNmyJe+++y7z5s3DxsaG8+fPo1Kp6NixY5mvT19fn4EDBxIcHEyVKlUwNTVl/PjxVKjwf383s7W1pVu3bgwaNIjly5djYGBASEgIFhYWdOvWrUzzeXl5YWhoyNSpU4uta1zg008/ZdCgQbi7u9OsWTM2bNjAmTNnCtVMfl7v3r0JCgri22+/ZfXq1WrnvvzyS9q2bUvdunX54IMPePLkCTt27GDs2LHY2dnRp08f/Pz8mDt3Lq6urty6dYuoqCicnZ3p0qVLkfO9rPvj5eXFwYMH1epPz5o1iy+++IKIiAisrKyUusAF5SxUKhUjRoxg6tSp2NraUqdOHSZMmIC5uTk+Pj7KOH5+flhYWDBjxgwqVKhAgwYN1OY2NTVFW1u70PEDBw7QoUOHUl+DEKJ4yTOL/hkihBBCCCGEeDVkhbAQolSOHz+Oq6srrq6uAIwaNQpXV1e++OKLYvs0bNiQefPmMWvWLBo0aMC6deuU+q0vsnLlSu7du4ebmxt9+/Zl2LBhmJqaqrXZtGkTjRs3plevXtSvX58xY8aQm5v7t69xzpw5vP3223h7e9OuXTtatGhBo0aN1NqEhYXRqFEjunbtioeHB/n5+ezYsaNQmYgXqVChAv7+/uTm5uLn51di2z59+jBu3DiCgoJwc3Pjjz/+wN/f/4X1c42MjHj33XfR19dXS4oCeHp6snHjRrZu3YqLiwtt2rTh2LFjatfp5+fH6NGjsbe3x8fHh9jY2GKT/8/2+6f3Z+DAgezYsYO0tDTl2LJly8jOzua9997DzMxMeYWGhiptxowZw6effspHH31E48aNycjIIDIyUu0+paSkkJqaWupYAB4/fszmzZsZNGhQmfoJIYQQQgghhBCvI1X+qyioKYQQopCBAwdy69Yttm7dWua+7du3p0aNGqxZs6bEdm3btsXR0ZFFixb93TDLRc+ePXFzc2PcuHHlHQrLli3j559/ZteuXWXql56ejpGREWlpaVI+QgghhBBCCCHEv660v4dKyQghhHjF0tLSiI+PJyIiolTJ4MzMTL7++mu8vLzQ0NDg+++/Z8+ePezevbvYPvfu3SM6Opro6GiWLl36MsN/JebMmcMvv/xS3mEATzcJXLx4cXmHIYQQQgghhBBCvBSyQlgIIV4xT09Pjh07xscff8z8+fNf2P7Ro0d4e3tz6tQpHj9+jL29PZ9//jk9evQoto+VlRX37t1jwoQJBAUFvczwRSnJCmEhhBBCCCGEEK9SaX8PlRrC/yFWVlYsWLDgX59HpVKxefPmlzZeeHg4xsbGL228f6I01+bv71+oHuv/Kk9PT7WNv8prjOjoaFQqFffv3wfK7zNV2v8Go6OjyczMLFUyGEBHR4c9e/Zw584dHj58yMmTJ0tMBk+cOBFjY2PS0tKKTQYnJyejUqmIi4srVQz/RHZ2NjY2Nhw6dOhfn+vfkJCQQM2aNXn48GF5hyKEEEIIIYQQQvxjkhD+D4mNjeWjjz4q7zDeaKmpqXTq1AkoPmG2cOFCwsPD/5X5V61aRYsWLYCnSb169eqhp6dH5cqVadeuHUePHv1X5n2R5xOur7v333+fixcvlncY5SYoKIioqCjlfVF/xLC0tCQ1NZUGDRr86/F8/fXX1KlTh2bNmqkd37t3L507d6ZKlSro6upSv359Ro8ezV9//QU8/W9ApVIVeunp6ZU4n7+/v9K2UqVKVK9enfbt2/Pdd9+Rl5dXqP2pU6fo2bMn1atXR1tbG1tbWwYNGqR8hurXr0/Tpk2ZN2/eS7ojQgghhBBCCCFE+ZEawv8h1apVK+8QXkv5+fnk5uZSseKLP+41atR4YRsjI6OXEVaRtmzZwjvvvAOAnZ0dS5YswdramkePHjF//nw6dOjA5cuX5Vm/gI6ODjo6OuUdxkuXnZ2NpqbmC9vp6+ujr69fYhsNDY1Sfd7/qfz8fJYsWcLkyZPVji9fvpzBgwfTr18/Nm3ahJWVFSkpKaxevZq5c+cyb948goKCCAwMVOvXtm1bGjdu/MJ5O3bsSFhYGLm5udy4cYPIyEiGDx/Ojz/+yNatW5WfB9u2bePdd9/Fy8uLdevWUbduXW7evMnGjRuZMGECGzZsAKB///4MGjSIcePGlepniRBCvK6sQraXdwhCvHTJM7uUdwhCCCHEG0VWCL8hPD09GTp0KEOHDsXIyIiqVasyYcIEni0B/fzX1VUqFcuXL6dr167o6uri4ODA4cOHuXz5Mp6enujp6dGsWTOSkpLU5tqyZQtubm5oa2tjbW3NpEmTePLkSbGxxcfH06ZNG3R0dKhSpQofffQRGRkZAOzfv59KlSpx/fp1tT4jRozg7bffLnbMX375hcaNG6OtrU3VqlXp3r27cm7NmjW4u7tjYGBAjRo16N27Nzdv3lTOF6xm/fXXX2nUqBFaWlocPHgQT09Phg0bxpgxYzAxMaFGjRpMnDhRbd5nS0bUqVMHAFdXV1QqFZ6enkDh1ZalGff+/fsEBARQrVo1DA0NadOmDadPn1Zr8/jxY3bt2qUkhHv37k27du2wtrbG0dGRefPmkZ6ezpkzZ4q9bwXXvnPnTlxdXdHR0aFNmzbcvHmTX3/9FQcHBwwNDenduzeZmZlKv7y8PGbMmEGdOnXQ0dGhYcOG/Pjjj8DTldKtW7cGoHLlyqhUKvz9/dX6FnftAwYMoGvXrmox5uTkYGpqysqVK4u8hhc9X4AdO3ZgZ2eHjo4OrVu3Jjk5We388yUjJk6ciIuLC8uXL8fS0hJdXV18fX1JS0tTu47JkydTs2ZNtLS0cHFxITIyUjnfpk0bhg4dqjbPrVu30NTUVFuN+6z79+/z8ccfKytPGzRowLZt2wC4c+cOvXr1wsLCAl1dXZycnPj+++/V+hf8dz9ixAiqVq2Kl5eX8oyjoqJwd3dHV1eXZs2aceHChULXW/DvVatWsWXLFmXVbHR0dKEV8KUZF8r+8+HEiRMkJSXRpcv//aL2559/MmzYMIYNG8Z3332Hp6cnVlZWtGzZkhUrVvDFF18ATxPbNWrUUF43btwgISGBgQMHFjtfAS0tLWrUqIGFhQVubm589tlnbNmyhV9//VVZ4Z+ZmUn//v3p3LkzW7dupV27dtSpU4e33nqL0NBQli9frozXvn177t69y759+144txBCCCGEEEII8TqThPAbZNWqVVSsWJFjx46xcOFC5s2bx4oVK0rsM2XKFPz8/IiLi6NevXr07t2bjz/+mHHjxnH8+HHy8/PVklwHDhzAz8+P4cOHk5CQwPLlywkPD2fatGlFjv/w4UO8vLyoXLkysbGxbNy4kT179ihjtmzZEmtra9asWaP0ycnJYd26dQwYMKDIMbdv30737t3p3Lkzp06dIioqiiZNmqj1nzJlCqdPn2bz5s0kJyerJSgLhISEMHPmTBITE3F2dlbuoZ6eHkePHmX27NlMnjyZ3bt3FxnHsWPHANizZw+pqan89NNPxd7nF43bs2dPJSl74sQJ3NzcaNu2LXfv3lXaREVFYWFhQb169QqNn52dzTfffIORkRENGzYsNo4CEydOZMmSJRw6dIirV6/i6+vLggULiIiIYPv27ezatYvFixcr7WfMmMHq1av5+uuvOXfuHCNHjuTDDz9k3759WFpasmnTJgAuXLhAamoqCxcuLNW1BwQEEBkZSWpqqtJ+27ZtZGZm8v777xcZ+4ue79WrV+nRowfe3t7ExcUREBBASEjIC+/J5cuX+eGHH/jll1+IjIzk1KlTDB48WDm/cOFC5s6dS2hoKGfOnMHLy4t33nmHS5cuKdcSERFBVlaW0mft2rVYWFjQpk2bQvPl5eXRqVMnYmJiWLt2LQkJCcycORMNDQ3g6R8AGjVqxPbt2zl79iwfffQRffv2VT53z95fTU1NYmJi+Prrr5Xj48ePZ+7cuRw/fpyKFSsW+99TUFAQvr6+dOzYkdTUVFJTUwuVbnhWSeOW9edDQR87OzsMDAyUYxs3biQ7O5sxY8YU2ae4+s8rVqzAzs6uxD8mlaRNmzY0bNhQ+W95586d3L59u1RxaGpq4uLiwoEDB/7W3EIIIYQQQgghxOtCvvf6BrG0tGT+/PmoVCrs7e2Jj49n/vz5DBo0qNg+/fv3x9fXF4CxY8fi4eHBhAkT8PLyAmD48OH0799faT9p0iRCQkLo168fANbW1kyZMoUxY8bw5ZdfFho/IiKCx48fs3r1aqWu55IlS/D29mbWrFlUr16dgQMHEhYWRnBwMPB09e/jx4+VuJ43bdo0PvjgAyZNmqQcezYJ+myCytramkWLFtG4cWMyMjLUviY/efJk2rdvrza2s7Ozch22trYsWbKEqKioQu3g/0pwVKlS5YVfrS9p3IMHD3Ls2DFu3ryJlpYWAKGhoWzevJkff/xRqfv8bLmIAtu2beODDz4gMzMTMzMzdu/eTdWqVUuMBWDq1Kk0b94cgIEDBzJu3DiSkpKwtrYG4L333mPv3r2MHTuWrKwspk+fzp49e/Dw8FDu68GDB1m+fDmtWrXCxMQEAFNT00LJupKuvVmzZtjb27NmzRol6RYWFkbPnj2LLWnwoue7bNky6taty9y5cwGU/xZmzZpV4j0p+JxaWFgAsHjxYrp06cLcuXOpUaMGoaGhjB07lg8++ACAWbNmsXfvXhYsWMBXX31Fjx49GDp0KFu2bFE+u+Hh4Uq92uft2bOHY8eOkZiYiJ2dnXI9BSwsLNQ2fPv000/ZuXMnP/zwg9ofQGxtbZk9e7byviC5Pm3aNFq1agU8/eNHly5dePz4Mdra2mpx6Ovro6OjQ1ZWVqlKRJQ0bll/PgBcuXIFc3NztWOXLl3C0NAQMzOzF8ZT4PHjx6xbt65Uyf+S1KtXT1llX5DsL+qPMEUxNzfnypUrxZ7PyspS+4NBenr6P4hUCCGEEEIIIYT4d8gK4TdI06ZN1RJPHh4eXLp0idzc3GL7FKyMBahevToATk5OasceP36sJC5Onz7N5MmTlRqk+vr6DBo0iNTUVLUSAwUSExNp2LCh2iZPzZs3Jy8vT/mqub+/P5cvX+bIkSPA0ySar69vsRtDxcXF0bZt22Kv6cSJE3h7e1OrVi0MDAyU5FVKSopaO3d39xLvB4CZmVmhcgR/R0njnj59moyMDKpUqaJ2X//44w+lXEd+fj6//PJLoYRw69atiYuL49ChQ3Ts2BFfX19l3E6dOiljOTo6FhtP9erV0dXVVUtGVq9eXRnn8uXLZGZm0r59e7X4Vq9eXaicSFmvHZ6urA0LCwPgxo0b/Prrr8WuZoUXP9/ExETeeusttT4FieyS1KpVS0kGF/Qp+Jymp6dz7do1JYleoHnz5iQmJgKgra1N3759+e677wA4efIkZ8+eLXJ1Ojz9HNesWVNJBj8vNzeXKVOm4OTkhImJCfr6+uzcubPQ57hRo0ZF9n/2vhckVl/2Z/n5ccv68wHg0aNHhZLU+fn5RSbRS/Lzzz/z4MEDJRkNT1cfPxvLunXrXjjOs3M/W3KnNHR0dIq9Tni60t7IyEh5WVpalml8IYQQQgghhBDiVZAVwv9xlSpVUv5dkAQp6lheXh4AGRkZTJo0iR49ehQa6/mkTmmZmpri7e1NWFgYderU4ddffyU6OrrY9iVtBlZQoqJgA6hq1aqRkpKCl5cX2dnZam2LSjg/e+3w9PoLrv2fKGncjIwMzMzMirzmgtW2x44d48mTJ4W+yq+np4eNjQ02NjY0bdoUW1tbVq5cybhx41ixYgWPHj0qcv7nn/GL4oOnpTqeTZgCyormv3vtAH5+foSEhHD48GEOHTpEnTp1iv3Kf1meb3kICAjAxcWFP//8k7CwMNq0aUPt2rWLbPuiTe3mzJnDwoULWbBgAU5OTujp6TFixIhSfY6h5P+O/4mX/fOhatWqxMfHqx2zs7MjLS2N1NTUUq8SXrFiBV27dlX+sAVP/+hTUAMZUDtXnMTERKU+eEGy/vz586X6o8Ldu3epW7dusefHjRvHqFGjlPfp6emSFBZCCCGEEEII8dqRhPAb5OjRo2rvjxw5gq2trVKT9GVwc3PjwoUL2NjYlKq9g4MD4eHhPHz4UElcxcTEUKFCBezt7ZV2AQEB9OrVi5o1a1K3bt1CKzGf5ezsTFRUlFopiwLnz5/nzp07zJw5U0m0HD9+vCyXWGqampoAJa7ALg03NzeuX79OxYoVsbKyKrLNli1b6NKlywufZV5envKV9OeTt39X/fr10dLSIiUlRVmN+7x/ci+qVKmCj48PYWFhHD58uMjnWqA0z9fBwYGtW7eqHStYfV6SlJQUrl27ppQvOHLkiPI5NTQ0xNzcnJiYGLV7EBMTo1a+wcnJCXd3d7799lsiIiJYsmRJsfM5Ozvz559/cvHixSJXCcfExNCtWzc+/PBD4OmzvXjxIvXr13/htZSVpqbmP/4cQ9l/PsDTTRmXLVumtjL3vffeIyQkhNmzZzN//vxCfe7fv69WmuSPP/5g7969hZ67jo5OmWL57bffiI+PZ+TIkQB06NCBqlWrMnv2bH7++ecXxnH27Fnee++9YsfX0tIq1R9RhBBCCCGEEEKI8iQJ4TdISkoKo0aN4uOPP+bkyZMsXrxYqaP6snzxxRd07dqVWrVq8d5771GhQgVOnz7N2bNnmTp1aqH2ffr04csvv6Rfv35MnDiRW7du8emnn9K3b1+11XpeXl4YGhoydepUJk+eXGIMX375JW3btqVu3bp88MEHPHnyhB07djB27Fhq1aqFpqYmixcvJjAwkLNnzzJlypSXeg8KmJqaoqOjQ2RkJDVr1kRbWxsjI6Myj9OuXTs8PDzw8fFh9uzZ2NnZce3aNWXzPHd3d7Zu3ap2Xx4+fMi0adN45513MDMz4/bt23z11Vf89ddf9OzZ82VeJgYGBgQFBTFy5Ejy8vJo0aIFaWlpxMTEYGhoSL9+/ahduzYqlYpt27bRuXNndHR0iq0BXJSAgAC6du1Kbm6u2lf+n1ea5xsYGMjcuXMJDg4mICCAEydOEB4e/sIYtLW16devH6GhoaSnpzNs2DB8fX2VurrBwcF8+eWX1K1bFxcXF8LCwoiLiytUhiAgIIChQ4eip6dH9+7di52vVatWtGzZknfffZd58+ZhY2PD+fPnUalUdOzYEVtbW3788UcOHTpE5cqVmTdvHjdu3PhXEsJWVlbs3LmTCxcuUKVKlb/1OYay/3yAp2VPMjIyOHfuHA0aNAD+rx760KFDSU9Px8/PDysrK/78809Wr16Nvr6+2s+27777DjMzMzp16lTqWLOysrh+/Tq5ubncuHGDyMhIZsyYQdeuXfHz8wOerr5esWIFPXv25J133mHYsGHY2Nhw+/ZtfvjhB1JSUli/fj0AycnJ/PXXX7Rr1+5v3TshhHhdJM/sUt4hCCGEEEKIciY1hN8gfn5+PHr0iCZNmjBkyBCGDx+ubEj2snh5ebFt2zZ27dpF48aNadq0KfPnzy/2a/G6urrs3LmTu3fv0rhxY9577z3atm1baOVkhQoV8Pf3Jzc3V0nGFMfT05ONGzeydetWXFxcaNOmDceOHQOebvQWHh7Oxo0bqV+/PjNnziQ0NPTlXPxzKlasyKJFi1i+fDnm5uZ069btb42jUqnYsWMHLVu2pH///tjZ2fHBBx9w5coVqlevTlJSEpcvX1Y2+gPQ0NDg/PnzvPvuu9jZ2eHt7c2dO3c4cOBAoXrBL8OUKVOYMGECM2bMwMHBgY4dO7J9+3blq/UWFhbKhmLVq1dn6NChZRq/Xbt2mJmZ4eXlVWiDsWeV5vnWqlWLTZs2sXnzZho2bMjXX3/N9OnTXxiDjY0NPXr0oHPnznTo0AFnZ2eWLl2qnB82bBijRo1i9OjRODk5ERkZydatW7G1tVUbp1evXlSsWJFevXq9sIzKpk2baNy4Mb169aJ+/fqMGTNGWan7+eef4+bmhpeXF56entSoUQMfH58XXsffMWjQIOzt7XF3d6datWrExMT8rXHK+vMBnq4Q7969e6HE+uDBg9m1axd//fUX3bt3p169egQEBGBoaKi22V5eXp6yeV9Zvg0RGRmJmZkZVlZWdOzYkb1797Jo0SK2bNmiNk63bt04dOgQlSpVonfv3tSrV49evXqRlpamluT+/vvv6dChQ4nXKoQQQgghhBBCvAlU+WXdVUeUC09PT1xcXFiwYEF5h/K3DRw4kFu3bhX62vf/unnz5rFnzx527NhR3qH8azIyMrCwsCAsLKzI+rP/tokTJ7J582a1erN/V3JyMnXr1iU2NhY3N7d/Htz/gDNnztC+fXuSkpLKtLL8dZGdnY2trS0REREllrt5Xnp6OkZGRqSlpWFoaPgvRiiEEEIIIYQQQpT+91ApGSH+dWlpacTHxxMRESHJ4CLUrFmTcePGlXcY/4q8vDxu377N3LlzMTY25p133invkP62nJwc7ty5w+eff07Tpk0lGVwGzs7OzJo1iz/++AMnJ6fyDqfMUlJS+Oyzz8qUDBZCCCGEEEIIIV5XkhAW/7pu3bpx7NgxAgMDad++fXmH89rx9fUt7xD+NSkpKdSpU4eaNWsSHh5OxYpv7o+cmJgYWrdujZ2dHT/++GN5h/PG8ff3L+8Q/jYbG5sybV4nhBBCCCGEEEK8zqRkhBBCPMfKyooRI0YwYsSI8g6lRP7+/ty/f5/Nmze/8rlfh3tUntdfGlIyQgghhBBCCCHEq1Ta30NlUzkhhPiPunDhAq1bt6Z69epoa2tjbW3N559/Tk5OTnmH9tqIjo5GpVJx//798g5FCCGEEEIIIYR4Jd7c728LIcR/VHZ2Npqamv94nEqVKuHn54ebmxvGxsacPn2aQYMGkZeXx/Tp019CpEIIId40ViHb/7Wxk2d2+dfGFkIIIYQQL4+sEBZC/E958OABffr0QU9PDzMzM+bPn4+np2expQ8GDBhA165d1Y7l5ORgamrKypUrgaeb582ePRsbGxu0tLSoVasW06ZNU9pfvXoVX19fjI2NMTExoVu3biQnJyvn/f398fHxYdq0aZibm2Nvbw9AfHw8bdq0QUdHhypVqvDRRx+RkZFR6mu1tramf//+NGzYkNq1a/POO+/Qp08fDhw4UGI/T09Phg4dytChQzEyMqJq1apMmDCB5ysMZWZmMmDAAAwMDKhVqxbffPON2vkXxR8dHU2TJk3Q09PD2NiY5s2bc+XKFQAmTpyIi4sLy5cvx9LSEl1dXXx9fUlLSysUb2hoKGZmZlSpUoUhQ4aorYBes2YN7u7uGBgYUKNGDXr37s3NmzcBSE5OpnXr1gBUrlwZlUql1DrOy8tjxowZ1KlTBx0dHRo2bCi1o4UQQgghhBBC/CdIQlgI8T9l1KhRxMTEsHXrVnbv3s2BAwc4efJkse0DAgKIjIwkNTVVObZt2zYyMzN5//33ARg3bhwzZ85kwoQJJCQkEBERQfXq1YGnyWMvLy8MDAw4cOAAMTEx6Ovr07FjR7Kzs5Uxo6KiuHDhArt372bbtm08fPgQLy8vKleuTGxsLBs3bmTPnj0MHTr0b1/75cuXiYyMpFWrVi9su2rVKipWrMixY8dYuHAh8+bNY8WKFWpt5s6di7u7O6dOnWLw4MF88sknXLhwAeCF8T958gQfHx9atWrFmTNnOHz4MB999BEqlUot3h9++IFffvmFyMhIZZ5n7d27l6SkJPbu3cuqVasIDw8nPDxcOZ+Tk8OUKVM4ffo0mzdvJjk5WUn6WlpasmnTJuBpeY3U1FQWLlwIwIwZM1i9ejVff/01586dY+TIkXz44Yfs27evbDddCCGEEEIIIYR4zUjJCCHE/4wHDx6watUqIiIiaNu2LQBhYWGYm5sX26dZs2bY29uzZs0axowZo/Tp2bMn+vr6PHjwgIULF7JkyRL69esHQN26dWnRogUAGzZsIC8vjxUrVijJzrCwMIyNjYmOjqZDhw4A6OnpsWLFCqVUxLfffsvjx49ZvXo1enp6ACxZsgRvb29mzZqlJJxLo1mzZpw8eZKsrCw++ugjJk+e/MI+lpaWzJ8/H5VKhb29PfHx8cyfP59BgwYpbTp37qwkaMeOHcv8+fPZu3cv9vb2RERElBh/pUqVSEtLo2vXrtStWxcABwcHtRgK+ltYWACwePFiunTpwty5c6lRowbwdGXvkiVL0NDQoF69enTp0oWoqCglzgEDBijjWVtbs2jRIho3bkxGRgb6+vqYmJgAYGpqirGxMQBZWVlMnz6dPXv24OHhofQ9ePAgy5cvLzahnpWVRVZWlvI+PT39hfdZCCGEEEIIIYR41WSFsBDif8bvv/9OTk4OTZo0UY4ZGRkpJRqKExAQQFhYGAA3btzg119/VRKNiYmJZGVlKQnm550+fZrLly9jYGCAvr6+koR8/PgxSUlJSjsnJye1usGJiYk0bNhQSaYCNG/enLy8PGUVbmlt2LCBkydPEhERwfbt2wkNDQXgwIEDSkz6+vqsW7dO6dO0aVO11boeHh5cunSJ3Nxc5Zizs7Pyb5VKRY0aNZRyDC+K38TEBH9/f7y8vPD29mbhwoVqq7ABatWqpSSDC2J4/vodHR3R0NBQ3puZmSkxAJw4cQJvb29q1aqFgYGBksxNSUkp9n5dvnyZzMxM2rdvr3Z/Vq9erfbMnjdjxgyMjIyUl6WlZbFthRBCCCGEEEKI8iIrhIUQ4gX8/PwICQnh8OHDHDp0iDp16vD2228DoKOjU2LfjIwMGjVqpJZsLVCtWjXl388mTl+2gsRk/fr1yc3N5aOPPmL06NG4u7sTFxentCvLqmN4umnds1QqFXl5eaXuHxYWxrBhw4iMjGTDhg18/vnn7N69m6ZNm76UGArKVnh5ebFu3TqqVatGSkoKXl5eauU6nldQ53j79u1qCWkALS2tYvuNGzeOUaNGKe/T09MlKSyEEEIIIYQQ4rUjCWEhxP8Ma2trKlWqRGxsLLVq1QIgLS2Nixcv0rJly2L7ValSBR8fH8LCwjh8+DD9+/dXztna2qKjo0NUVBQBAQGF+rq5ubFhwwZMTU0xNDQsdawODg6Eh4fz8OFDJVkcExNDhQoVXriiuSR5eXnk5OSQl5eHjo4ONjY2RbY7evSo2vsjR45ga2urthr3ZcTv6uqKq6sr48aNw8PDg4iICCUhnJKSwrVr15SSHkeOHCnT9Z8/f547d+4wc+ZMJTF7/PhxtTYFq7KfXflcv359tLS0SElJKVW95QJaWlolJoyFEEIIIYQQQojXgSSEhRD/MwwMDOjXrx/BwcGYmJhgamrKl19+SYUKFdTKIxQlICCArl27kpubq9QKBtDW1mbs2LGMGTMGTU1Nmjdvzq1btzh37hwDBw6kT58+zJkzh27dujF58mRq1qzJlStX+OmnnxgzZgw1a9Yscr4+ffrw5Zdf0q9fPyZOnMitW7f49NNP6du3b6lX8q5bt45KlSrh5OSElpYWx48fZ9y4cbz//vuFVtY+LyUlhVGjRvHxxx9z8uRJFi9ezNy5c0s1b2ni/+OPP/jmm2945513MDc358KFC1y6dAk/Pz+1e9uvXz9CQ0NJT09n2LBh+Pr6KvWDX6RWrVpoamqyePFiAgMDOXv2LFOmTFFrU7t2bVQqFdu2baNz587o6OhgYGBAUFAQI0eOJC8vjxYtWpCWlkZMTAyGhoZqz18IId40yTO7lHcIQgghhBCinElCWAjxP2XevHkEBgbStWtXDA0NGTNmDFevXkVbW7vEfu3atcPMzAxHR8dCm9BNmDCBihUr8sUXX3Dt2jXMzMwIDAwEQFdXl/379zN27Fh69OjBgwcPsLCwoG3btiWuGNbV1WXnzp0MHz6cxo0bo6ury7vvvsu8efNKfa0VK1Zk1qxZXLx4kfz8fGrXrs3QoUMZOXLkC/v6+fnx6NEjmjRpgoaGBsOHD+ejjz4q9dwvil9XV5fz58+zatUq7ty5g5mZGUOGDOHjjz9WxrCxsaFHjx507tyZu3fv0rVrV5YuXVrqGKpVq0Z4eDifffYZixYtws3NjdDQUN555x2ljYWFBZMmTSIkJIT+/fvj5+dHeHg4U6ZMoVq1asyYMYPff/8dY2Nj3Nzc+Oyzz0o9vxBCCCGEEEII8TpS5efn55d3EEIIUV4ePnyIhYUFc+fOZeDAgcW2y8jIwMLCgrCwMHr06PEKI3z1PD09cXFxYcGCBeUWw8SJE9m8ebNajeM3TXp6OkZGRqSlpZWpXIgQQgghhBBCCPF3lPb3UFkhLIT4n3Lq1CnOnz9PkyZNSEtLY/LkyQB069atyPZ5eXncvn2buXPnYmxsrLa6VAghhBBCCCGEEOJNIwlhIcT/nNDQUC5cuICmpiaNGjXiwIEDVK1atci2KSkp1KlTh5o1axIeHk7FivJjUwghhBBCCCGEEG8uKRkhhPjPSU5Opk6dOpw6dQoXF5dS9QkPD2fEiBHcv3+/3GMpz3HFyyMlI4QQQgghhBBCvEql/T20wiuMSQghhHithIeHY2xsXN5hCCGEEEIIIYQQr4x891kIIf6D8vPzyc3N/c+WuMjJyaFSpUrlHYYQQrxxrEK2l3cI/3OSZ3Yp7xCEEEIIIdTICmEhxBspMjKSFi1aYGxsTJUqVejatStJSUlFto2OjkalUrF9+3acnZ3R1tamadOmnD17tlDbnTt34uDggL6+Ph07diQ1NVU5FxsbS/v27alatSpGRka0atWKkydPlire33//ndatW6Orq0vDhg05fPgwAA8fPsTQ0JAff/xRrf3mzZvR09PjwYMHABw7dgxXV1e0tbVxd3fn1KlTRV7jr7/+SqNGjdDS0uLgwYNkZWUxbNgwTE1N0dbWpkWLFsTGxgLw+PFjHB0d+eijj5RxkpKSMDAw4Lvvvit1bH/++Se9evXCxMQEPT093N3dOXr0qDJet27dqF69Ovr6+jRu3Jg9e/aojWdlZcWUKVPo1asXenp6WFhY8NVXX6m1UalULFu2jHfeeQc9PT2mTZsGwLJly6hbty6amprY29uzZs0atX7z5s3DyckJPT09LC0tGTx4MBkZGco969+/P2lpaahUKlQqFRMnTgQgKyuLoKAgLCws0NPT46233iI6OvoFT1kIIYQQQgghhHj9SUJYCPFGevjwIaNGjeL48eNERUVRoUIFunfvTl5eXrF9goODmTt3LrGxsVSrVg1vb29ycnKU85mZmYSGhrJmzRr2799PSkoKQUFByvkHDx7Qr18/Dh48yJEjR7C1taVz585KYrQk48ePJygoiLi4OOzs7OjVqxdPnjxBT0+PDz74gLCwMLX2YWFhvPfeexgYGJCRkUHXrl2pX78+J06cYOLEiWpxPSskJISZM2eSmJiIs7MzY8aMYdOmTaxatYqTJ09iY2ODl5cXd+/eRVtbm3Xr1rFq1Sq2bNlCbm4uH374Ie3bt2fAgAGljq1Vq1b89ddfbN26ldOnTzNmzBjlOWRkZNC5c2eioqI4deoUHTt2xNvbm5SUFLUx58yZQ8OGDTl16hQhISEMHz6c3bt3q7WZOHEi3bt3Jz4+ngEDBvDzzz8zfPhwRo8ezdmzZ/n444/p378/e/fuVfpUqFCBRYsWce7cOVatWsVvv/3GmDFjAGjWrBkLFizA0NCQ1NRUUlNTlfs6dOhQDh8+zPr16zlz5gw9e/akY8eOXLp0qdhnnJWVRXp6utpLCCGEEEIIIYR43cimckKI/4Tbt29TrVo14uPj0dfXV9twLTo6mtatW7N+/Xref/99AO7evUvNmjUJDw/H19eX8PBw+vfvz+XLl6lbty4AS5cuZfLkyVy/fr3IOfPy8jA2NiYiIoKuXbsW2aZg87cVK1YwcOBAABISEnB0dCQxMZF69epx7NgxmjVrxtWrVzEzM+PmzZtYWFiwZ88eWrVqxTfffMNnn33Gn3/+iba2NgBff/01n3zySaFr3Lx5M926dQOeJs0rV65MeHg4vXv3Bp6WWrCysmLEiBEEBwcDT5Oxs2fP5oMPPmDTpk3Ex8dTpUoVgFLFFhQURHJyMiYmJqV6Vg0aNCAwMJChQ4cCT1cIOzg48OuvvyptPvjgA9LT09mxYwfwdIXwiBEjmD9/vtKmefPmODo68s033yjHfH19efjwIdu3F/2V6B9//JHAwEBu374NFL2ZYEpKCtbW1qSkpGBubq4cb9euHU2aNGH69OlFjj1x4kQmTZpU6LhsKieEeJ1IyYhXT0pGCCGEEOJVkU3lhBD/aZcuXaJXr15YW1tjaGiIlZUVQKGVp8/y8PBQ/m1iYoK9vT2JiYnKMV1dXSUZDCgJ0AI3btxg0KBB2NraYmRkhKGhIRkZGcqcgYGB6OvrK69nOTs7q40LKGM3adIER0dHVq1aBcDatWupXbs2LVu2BFBW+xYkg5+/lme5u7sr/05KSiInJ4fmzZsrxypVqkSTJk3Urnv06NHY2dmxZMkSvvvuOyUZXJrY4uLicHV1LTYZnJGRQVBQEA4ODhgbG6Ovr09iYmKh5/T89Xh4eKjF+Py1FdyXZ68NniaJn+23Z88e2rZti4WFBQYGBvTt25c7d+6QmZlZZLwA8fHx5ObmYmdnp/Y89+3bV2xZEoBx48aRlpamvK5evVpsWyGEEEIIIYQQorz8N3cbEkL853l7e1O7dm2+/fZbzM3NycvLo0GDBmRnZ//tMZ/fpEylUvHslyj69evHnTt3WLhwIbVr10ZLSwsPDw9lzsmTJxdbyuHZsVUqFYBaeYuAgAC++uorQkJCCAsLo3///kq7stDT0ytzn5s3b3Lx4kU0NDS4dOkSHTt2VDtfUmw6Ojoljh0UFMTu3bsJDQ3FxsYGHR0d3nvvvb/1nMp6bcnJyXTt2pVPPvmEadOmYWJiwsGDBxk4cCDZ2dno6uoW2S8jIwMNDQ1OnDiBhoaG2rnnE/3P0tLSQktLq0wxCiGEEEIIIYQQr5qsEBZCvHHu3LnDhQsX+Pzzz2nbti0ODg7cu3fvhf2OHDmi/PvevXtcvHgRBweHUs8bExPDsGHD6Ny5M46OjmhpaSmlBwBMTU2xsbFRXmXx4YcfcuXKFRYtWkRCQgL9+vVTzjk4OHDmzBkeP35c5LUUp2CztZiYGOVYTk4OsbGx1K9fXzk2YMAAnJycWLVqFWPHji20Mrek2JydnYmLi+Pu3btFxhATE4O/vz/du3fHycmJGjVqkJycXKjd89dz5MiRFz4bBwcHtWsrmK/g2k6cOEFeXh5z586ladOm2NnZce3aNbX2mpqa5Obmqh1zdXUlNzeXmzdvqj1PGxsbatSoUWJMQgghhBBCCCHE605WCAsh3jiVK1emSpUqfPPNN5iZmZGSkkJISMgL+02ePJkqVapQvXp1xo8fT9WqVfHx8Sn1vLa2tqxZswZ3d3fS09MJDg5+4QrZ0qpcuTI9evQgODiYDh06ULNmTeVc7969GT9+PIMGDWLcuHEkJycTGhr6wjH19PT45JNPCA4OxsTEhFq1ajF79mwyMzOVesZfffUVhw8f5syZM1haWrJ9+3b69OnDkSNH0NTUfGFsvXr1Yvr06fj4+DBjxgzMzMw4deoU5ubmeHh4YGtry08//YS3tzcqlYoJEyYUufFfTEwMs2fPxsfHh927d7Nx48Zi6wAXCA4OxtfXF1dXV9q1a8cvv/zCTz/9xJ49ewCwsbEhJyeHxYsX4+3tTUxMDF9//bXaGFZWVmRkZBAVFUXDhg3R1dXFzs6OPn364Ofnx9y5c3F1deXWrVtERUXh7OxMly5SC1II8eaSerZCCCGEEEJWCAsh3jgVKlRg/fr1nDhxggYNGjBy5EjmzJnzwn4zZ85k+PDhNGrUiOvXr/PLL78oSc/SWLlyJffu3cPNzY2+ffsybNgwTE1N/8mlqCkoZTBgwAC14/r6+vzyyy/Ex8fj6urK+PHjmTVrVqnGnDlzJu+++y59+/bFzc2Ny5cvs3PnTipXrsz58+cJDg5m6dKlWFpaAk830rt9+zYTJkwoVWyamprs2rULU1NTOnfujJOTEzNnzlRKLcybN4/KlSvTrFkzvL298fLyws3NrVCco0eP5vjx47i6ujJ16lTmzZuHl5dXidfm4+PDwoULCQ0NxdHRkeXLlxMWFoanpycADRs2ZN68ecyaNYsGDRqwbt06ZsyYoTZGs2bNCAwM5P3336datWrMnj0bgLCwMPz8/Bg9ejT29vb4+PgQGxtLrVq1SnXfhRBCCCGEEEKI15Uq/9kCmUII8R8UHR1N69atuXfvHsbGxuUdTrHWrFnDyJEjuXbtWpkS1a/CvxmblZUVI0aMYMSIES913PJW2t1dhRBCCCGEEEKIl6G0v4dKyQghhChnmZmZpKamMnPmTD7++OPXKhn8OscmhBBCCCGEEEKIspOSEUIIUc5mz55NvXr1qFGjBuPGjSvvcNS8zrEJIYQQQgghhBCi7KRkhBBC/Ad5enri4uLCggULyjuUUklOTqZOnTqcOnUKFxeXvz3O61R+QkpGCCGEEEIIIYR4lUr7e6isEBZCvLE8PT1fi8SfeHOFh4e/1nWlhRBCCCGEEEKIl01qCAshxAtkZ2f/a7Vzc3JyqFSp0r8ythBCCPE8q5Dt5R2CEP9Tkmd2Ke8QhBBCiEJkhbAQ4o3k7+/Pvn37WLhwISqVCpVKRVJSEgMHDqROnTro6Ohgb2/PwoUL1foVtarYx8cHf39/5b2VlRVTpkzBz88PQ0NDPvroIwA2bdqEo6MjWlpaWFlZMXfuXLVxVCoVmzdvVjtmbGxMeHg48LQsgkqlYsOGDbRq1QptbW3WrVvHlStX8Pb2pnLlyujp6eHo6MiOHTuUMfbt20eTJk3Q0tLCzMyMkJAQnjx5opx/+PAhfn5+6OvrY2ZmVigugKysLIKCgrCwsEBPT4+33nqL6OhotTYlXd/kyZMxNzfnzp07yrEuXbrQunVr8vLyGDBgAF27dlUbLycnB1NTU1auXAlAXl4es2fPxsbGBi0tLWrVqsW0adPU+vz++++0bt0aXV1dGjZsyOHDh0sdY1HmzZuHk5MTenp6WFpaMnjwYDIyMgCIjo6mf//+pKWlKZ+hiRMnlvp+CSGEEEIIIYQQbyJJCAsh3kgLFy7Ew8ODQYMGkZqaSmpqKjVr1qRmzZps3LiRhIQEvvjiCz777DN++OGHMo8fGhpKw4YNOXXqFBMmTODEiRP4+vrywQcfEB8fz8SJE5kwYYKS7C2LkJAQhg8fTmJiIl5eXgwZMoSsrCz2799PfHw8s2bNQl9fH4C//vqLzp0707hxY06fPs2yZctYuXIlU6dOVcYLDg5m3759bNmyhV27dhEdHc3JkyfV5hw6dCiHDx9m/fr1nDlzhp49e9KxY0cuXboE8MLrGz9+PFZWVgQEBADw1VdfcejQIVatWkWFChUICAggMjKS1NRUZc5t27aRmZnJ+++/D8C4ceOYOXMmEyZMICEhgYiICKpXr64W5/jx4wkKCiIuLg47Ozt69eqlJL//zjOoUKECixYt4ty5c6xatYrffvuNMWPGANCsWTMWLFiAoaGh8hkKCgoq1f0qSlZWFunp6WovIYQQQgghhBDidSMlI4QQbyQjIyM0NTXR1dWlRo0ayvFJkyYp/65Tpw6HDx/mhx9+wNfXt0zjt2nThtGjRyvv+/TpQ9u2bZkwYQIAdnZ2JCQkMGfOHLXVxaUxYsQIevToobxPSUnh3XffxcnJCQBra2vl3NKlS7G0tGTJkiWoVCrq1avHtWvXGDt2LF988QWZmZmsXLmStWvX0rZtWwBWrVpFzZo11cYPCwsjJSUFc3NzAIKCgoiMjCQsLIzp06czb968Eq9PQ0ODtWvX4uLiQkhICIsWLWLFihXUqlULeJpctbe3Z82aNUrCNSwsjJ49e6Kvr8+DBw9YuHAhS5YsoV+/fgDUrVuXFi1aqN2boKAgunR5+tXKSZMm4ejoyOXLl6lXr94LYyzuXhewsrJi6tSpBAYGsnTpUjQ1NTEyMkKlUql9hkpzv4oyY8YMtc+fEEIIIYQQQgjxOpIVwkKI/5SvvvqKRo0aUa1aNfT19fnmm29ISUkp8zju7u5q7xMTE2nevLnasebNm3Pp0iVyc3P/0djDhg1j6tSpNG/enC+//JIzZ86ozevh4YFKpVKbNyMj7Ew6lQABAABJREFUgz///JOkpCSys7N56623lPMmJibY29sr7+Pj48nNzcXOzg59fX3ltW/fPpKSkkp9fdbW1oSGhjJr1izeeecdevfurdY+ICCAsLAwAG7cuMGvv/7KgAEDlPGzsrKUpHVxnJ2dlX+bmZkBcPPmzVLH+Lw9e/bQtm1bLCwsMDAwoG/fvty5c4fMzMxiYyjN/SrKuHHjSEtLU15Xr14t8VqFEEIIIYQQQojyICuEhRD/GevXrycoKIi5c+fi4eGBgYEBc+bM4ejRo0qbChUqkJ+fr9YvJyen0Fh6enplnl+lUv2tsQMCAvDy8mL79u3s2rWLGTNmMHfuXD799NMyx1CUjIwMNDQ0OHHiBBoaGmrnCkpTlNb+/fvR0NAgOTmZJ0+eULHi//1vxM/Pj5CQEA4fPsyhQ4eoU6cOb7/9NgA6OjqlGv/ZDfYKkuB5eXllirFAcnIyXbt25ZNPPmHatGmYmJhw8OBBBg4cSHZ2Nrq6ukX2+7v3S0tLCy0trb8VqxBCCCGEEEII8arICmEhxBtLU1NTbWVoTEwMzZo1Y/Dgwbi6umJjY1NoRWe1atXU6tzm5uZy9uzZF87l4OBATEyM2rGYmBjs7OyUpOHzY1+6dKnElajPsrS0JDAwkJ9++onRo0fz7bffKvMePnxYLdEcExODgYEBNWvWpG7dulSqVEkt6X3v3j0uXryovHd1dSU3N5ebN29iY2Oj9ioolVCa69uwYQM//fQT0dHRpKSkMGXKFLX2VapUwcfHh7CwMMLDw+nfv79yztbWFh0dHaKiokp1P4pSmhifdeLECfLy8pg7dy5NmzbFzs6Oa9euqbV5/jMEpbtfQgghhBBCCCHEm0pWCAsh3lhWVlYcPXqU5ORk9PX1sbW1ZfXq1ezcuZM6deqwZs0aYmNjqVOnjtKnTZs2jBo1iu3bt1O3bl3mzZvH/fv3XzjX6NGjady4MVOm/D/27jyq5vx/4PjzJu17UiGFFklRsu9ksmUbsg2yTkj2bQyyhin7DAZTGMbY97HL0NjJWBIayRJmbAmj1P394fT5udqNsXzn9TjnnuN+Pu/l9VnK6XXf9/WZRPv27Tly5Ajz58/nu+++0xh7/vz5VK9enfT0dEaOHKmx4jUngwYNokmTJjg7O/Pw4UMOHDiAq6srAP369WP27NkMGDCAoKAg4uLiGD9+PEOGDEFLSwsjIyN69uzJ8OHDsbS0pGjRoowZMwYtrf//vM/Z2ZnOnTvTtWtXwsPD8fT05M8//2Tfvn14eHjQrFmzPI/v5s2b9O3bl+nTp1OrVi0iIiJo3rw5TZo0oVq1aspcvXr1onnz5qSnpyu1ggH09PQYOXIkI0aMQEdHh5o1a/Lnn39y4cIFevbsmec5yu81eJ2joyNpaWnMmzcPPz8/oqOjWbhwoUYbBwcHUlJS2LdvHxUqVMDAwCBf50sIIT5VCdPkd5gQQgghxH+eWgghPlFxcXHqatWqqfX19dWA+tKlS+qAgAC1qamp2szMTN23b1/1qFGj1BUqVFD6pKamqvv27au2sLBQFy1aVB0aGqpu2bKlulu3bkobe3t79axZs7LMt27dOnW5cuXUhQsXVpcsWVL9zTffaOy/deuW+rPPPlMbGhqqnZyc1Dt27FCbmpqqIyIi1Gq1Wn3t2jU1oD5z5oxGv6CgIHWZMmXUurq6aisrK3WXLl3Uf/31l7I/KipKXblyZbWOjo7axsZGPXLkSHVaWpqy/8mTJ+ovvvhCbWBgoLa2tlbPmDFDXbduXfXAgQM1jnvcuHFqBwcHdeHChdW2trbq1q1bq3///fc8jy8jI0PdsGFDta+vrzojI0NpP2DAAHWZMmXUT548UbZlZGSo7e3t1U2bNs1y/tLT09WTJ09W29vbK3NMnTo1x3Pz8OFDNaA+cOBAvq/Bm9du5syZaltbW7W+vr7a19dXvXz5cjWgfvjwodImMDBQbWlpqQbU48ePz/f5ysvjx4/VgPrx48f57iOEEEIIIYQQQryt/P4dqlKr3yh4KYQQQryllJQUihcvTkREBG3atPnQ4XxQycnJmJqa8vjxY0xMTD50OEIIIYQQQggh/sfl9+9QKRkhhBDiH8vIyOCvv/4iPDwcMzMzWrRo8aFDEkIIIYQQQgghRDYkISyEEOIfS0xMpFSpUpQoUYLIyEi0teW/FyGEEEIIIYQQ4mOklXcTIf499erVY9CgQcp7BwcHZs+e/d7mDwkJoWLFigXq82bMH6v8HtvYsWPp06fPvx/Q/4DIyEhUKhUqlarA90BmPzMzs38ltg/NwcEBtVrNjRs3aNiw4XuZMyAgQDmvmzZtyne/hIQEpd/rPyMdOnQgPDz83QcqhBBCCCGEEEJ8RCQhLD4qJ06ckOTke3Tnzh3mzJnDmDFjlG2//vorfn5+FCtWLNdEW2xsLC1atMDU1BRDQ0MqV65MYmJijnP9/fffBAQE4O7ujra2Nq1atcqx7bJly6hVqxYAGzZs4LPPPsPS0hKVSkVMTEy2x9GlSxdsbGwwNDTEy8uL9evX53rsGzZsoFGjRlhZWWFiYkL16tXZtWtXrn0ATExMSEpKYtKkSQCkpaUxcuRI3N3dMTQ0pFixYnTt2pXbt29r9EtKSnqrDzvyc/wAR44coUGDBhgaGmJiYkKdOnV4/vx5rmNHRUXh5eWFrq4ujo6OREZGZtuue/fufP311wBMmTKFGjVqYGBgkGNy+8SJEzRs2BAzMzPMzc3x9fXl7NmzucayYMECPDw8MDExUa7HL7/8kmsfgMaNG5OUlESTJk2UbXnFaGdnR1JSEkOHDtXY/vXXXzNlyhQeP36cpU9ISAhRUVF5xiOEEEIIIYQQQnzsJCEsPipWVlYYGBh86DA+aqmpqe9srCVLllCjRg3s7e2VbU+fPqVChQp8++23OfaLj4+nVq1alC1blqioKH7//XfGjh2Lnp5ejn3S09PR19cnODgYHx+fXOPavHmzUoP26dOn1KpVi+nTp+fYvmvXrsTFxbFlyxbOnTtHmzZt8Pf358yZMzn2+fXXX2nUqBE7duzg1KlT1K9fHz8/v1z7wKuVvjY2NhgbGwPw7NkzTp8+zdixYzl9+jQbNmwgLi4uSw1dGxsbTE1Ncx07O/k5/iNHjtC4cWM+++wzjh8/zokTJwgKCkJLK+df8deuXaNZs2bUr1+fmJgYBg0aRK9evbIkxdPT09m2bZtyPKmpqbRr146+fftmO25KSgqNGzemZMmSHDt2jMOHD2NsbIyvry9paWk5xlOiRAmmTZvGqVOnOHnyJA0aNKBly5ZcuHAht9ODrq4uNjY26OrqKtvyirFQoULY2NhgZGSksb18+fKUKVOGH3/8EXiV7A8PD9eI+969eyxatCjXmIQQ4kNwGLU9Xy8hhBBCCCEkISzem6dPn9K1a1eMjIywtbXN9qvZb5aMmDlzprLy0s7Ojn79+pGSkqLRJzo6mnr16mFgYKCsRnz48CHLly/H0tKSFy9eaLRv1aoVXbp0yTbGly9fEhwcjJmZGZaWlowcOZJu3brluJp14sSJlC9fPsv2ihUrMnbsWOX9Dz/8gJubG7q6utja2hIUFKTse/ToEb169VJWqjZo0EBjNWVm6YclS5ZQqlQpJemamJhIy5YtMTIywsTEBH9/f+7evZttnDlZvXo1fn5+GtuaNGnC5MmTad26dY79xowZQ9OmTZkxYwaenp6UKVOGFi1aULRo0Rz7GBoasmDBAnr37o2NjU2O7f7++292796tJCC7dOnCuHHjck0i//bbbwwYMIAqVapQunRpvv76a8zMzDh16lSOfWbPns2IESOoXLkyTk5OTJ06FScnJ7Zu3Zpjn+yYmpqyZ88e/P39cXFxoVq1asyfP59Tp07lumI6v/Jz/IMHDyY4OJhRo0bh5uaGi4sL/v7+GknSNy1cuJBSpUoRHh6Oq6srQUFBtG3bllmzZmm0++233yhcuDCVK1cGYMKECQwePBh3d/dsx7106RIPHjxg4sSJuLi44Obmxvjx47l79y7Xr1/PMR4/Pz+aNm2Kk5MTzs7OTJkyBSMjI44ePZrb6clWXjHmxs/Pj9WrVwOvkv8ADRo04MKFC2zcuBE/Pz9KlChR4HGFEEIIIYQQQoiPhSSExXszfPhwDh48yObNm9m9ezdRUVGcPn061z5aWlrMnTuXCxcusGzZMvbv38+IESOU/TExMTRs2JBy5cpx5MgRDh8+jJ+fH+np6bRr14709HS2bNmitL937x7bt2+nR48e2c43ffp0Vq5cSUREBNHR0SQnJ+dam7RHjx7ExsZy4sQJZduZM2f4/fff6d69O/Dqq/D9+/enT58+nDt3ji1btuDo6Ki0b9euHffu3eOXX37h1KlTeHl50bBhQx48eKC0uXr1KuvXr2fDhg3ExMSQkZFBy5YtefDgAQcPHmTPnj388ccftG/fPtfz+boHDx5w8eJFvL29890HICMjg+3bt+Ps7Iyvry9FixalatWqWc5TQEAA9erVK9DYAPv27aN48eKULVs2331q1KjBzz//zIMHD8jIyGD16tX8/fffGvPXq1ePgICAHMfIyMjgyZMnWFhYFDjmNz1+/Pi91Qu+d+8ex44do2jRotSoUQNra2vq1q3L4cOHNdq9efxHjhzJkmT29fXlyJEjGtu2bNmCn5+fkhzNi4uLC5aWlixdupTU1FSeP3/O0qVLcXV1xcHBQWmnUqlyLFGRnp7O6tWrefr0KdWrV8/XvO9KlSpVOH78OC9evEBbW5uhQ4cyd+5cduzYwe7du9m9ezfNmjXLtu+LFy9ITk7WeAkhhBBCCCGEEB8beQy8eC9SUlJYunQpP/74o/LAqWXLluW50u7NB85NnjyZwMBAvvvuOwBmzJiBt7e38h7Azc1N+XenTp2IiIigXbt2APz444+ULFkyx0TlvHnzGD16tLI6dv78+ezYsSPH+EqUKIGvry8RERHKCsqIiAjq1q1L6dKlAZg8eTJDhw5l4MCBSr/MtocPH+b48ePcu3dPWc0ZFhbGpk2bWLdunVJPOTU1leXLl2NlZQXAnj17OHfuHNeuXcPOzg6A5cuX4+bmxokTJ5Txc5OYmIharaZYsWJ5tn3dvXv3SElJYdq0aUyePJnp06ezc+dO2rRpw4EDB6hbty4Atra2ZGRkFGhs0CwXkV9r1qyhffv2WFpaoq2tjYGBARs3btRIvJcsWRJbW9scxwgLCyMlJQV/f/8Cx/y6v//+m5EjR9KxY0dMTEz+0Vj58ccffwCvVpKHhYVRsWJFli9fTsOGDTl//jxOTk5A1uO/c+cO1tbWGmNZW1uTnJzM8+fP0dfXB15djzdXDefG2NiYqKgoWrVqpdRZdnJyYteuXWhr//9/OS4uLllKaJw7d47q1avz999/Y2RkxMaNGylXrlwBzsY/V6xYMVJTU7lz5w4lSpRg/vz5rFu3jqZNm1KsWDEaN27M+PHjady4cZa+oaGhTJgw4b3GK4QQQgghhBBCFJSsEBbvRXx8PKmpqVStWlXZZmFhgYuLS6799u7dS8OGDSlevDjGxsZ06dKF+/fv8+zZM+D/VwjnpHfv3uzevZtbt24BEBkZSUBAQLarHR8/fszdu3epUqWKsq1QoUJUqlQp1xh79+7NTz/9xN9//01qaiqrVq1SViDfu3eP27dv5xjj2bNnSUlJwdLSEiMjI+V17do14uPjlXb29vZKMhhePdDNzs5OSQYDlCtXDjMzM2JjY3ONN1PmA8dyq/ubncwkb8uWLRk8eDAVK1Zk1KhRNG/enIULFyrtQkNDWb58eYHGVqvVbN26tcAJ4bFjx/Lo0SP27t3LyZMnGTJkCP7+/pw7d05ps3z5ckJDQ7Ptv2rVKiZMmMCaNWtyLXuRl7S0NPz9/VGr1SxYsOCtxymIzOvx5Zdf0r17dzw9PZk1axYuLi788MMPSrvcjj8nsbGxud6/2Xn+/Dk9e/akZs2aHD16lOjoaMqXL0+zZs00HnJ36dKlLGVJXFxciImJ4dixY/Tt25du3bpx8eLFAsX8T2Umwp89e0ZGRgZpaWns27cPNzc3WrduzaZNm0hISMi27+jRo3n8+LHyunHjxnuMXAghhBBCCCGEyB9ZISw+WgkJCTRv3py+ffsyZcoULCwsOHz4MD179iQ1NRUDAwMleZMTT09PKlSowPLly/nss8+4cOEC27e/2weq+Pn5oaury8aNG9HR0SEtLY22bdsC5BlfSkoKtra2REVFZdn3erkBQ0PDdxkyAEWKFAHg4cOHGsnm/PTT1tbOsnLT1dU1S5mCgjp+/DgvX76kRo0a+e4THx/P/PnzOX/+vLI6vEKFChw6dIhvv/1WI0mdndWrV9OrVy/Wrl2b58PucpOZDL5+/Tr79+9/L6uDAWXVb3bXI7caxjY2NllqTt+9excTExPlvt2yZQuNGjUq0IcGq1atIiEhgSNHjigPtVu1ahXm5uZs3ryZDh065NhXR0dHWdVdqVIlTpw4wZw5c97rQ9wyS7VYWVlRuHBhhg0bprHf2tqawMDAbPvq6urmWrdZCCGEEEIIIYT4GMgKYfFelClThsKFC3Ps2DFl28OHD7l8+XKOfU6dOkVGRgbh4eFUq1YNZ2dnbt++rdHGw8ODffv25Tp3r169iIyMJCIiAh8fH41Vta8zNTXF2tpaox5wenp6nnWOtbW16datGxEREURERNChQwcloWZsbIyDg0OOMXp5eXHnzh20tbVxdHTUeGUmbLPj6urKjRs3NFYgXrx4kUePHuX7K/ZlypTBxMSkwCswdXR0qFy5MnFxcRrbL1++jL29fYHGetPmzZtp1qwZhQoVynefzNXimcnHTIUKFcqzZMVPP/1E9+7d+emnn3KsC5sfmcngK1eusHfvXiwtLd96rIJycHCgWLFiBb4e1atXz3Jf7tmzR6Nm7+bNm2nZsmWB4nn27BlaWloaq/Az3xe0hEhGRkaWh0L+286fP0+JEiWy/PyFhIS8VU1sIYQQQgghhBDiYyMrhMV7YWRkRM+ePRk+fDiWlpYULVqUMWPGZEnivc7R0ZG0tDTmzZuHn58f0dHRWVZ7jh49Gnd3d/r160dgYCA6OjocOHCAdu3aKQmdTp06MWzYMBYvXpxnCYMBAwYQGhqKo6MjZcuWZd68eTx8+DDPB2r16tULV1dXAKKjozX2hYSEEBgYSNGiRWnSpAlPnjwhOjqaAQMG4OPjQ/Xq1WnVqhUzZsxQkt7bt2+ndevWOT7wzcfHB3d3dzp37szs2bN5+fIl/fr1o27duvl+SJyWlhY+Pj4cPnyYVq1aKdtTUlK4evWq8v7atWvExMRgYWFByZIlgVcPCGzfvj116tShfv367Ny5k61bt2qsdB49ejS3bt3SOOcXL14kNTWVBw8e8OTJE2JiYgCoWLEi8GpF6sSJEzXifPDgAYmJicqHAZmJTxsbG2xsbChbtiyOjo58+eWXhIWFYWlpyaZNm9izZw/btm1TxunatSvFixdXyiasWrWKbt26MWfOHKpWrcqdO3eAV6u636xtm5vMFeGnT59m27ZtpKenK2NZWFigo6OT77Gyk9fxq1Qqhg8fzvjx46lQoQIVK1Zk2bJlXLp0iXXr1uV4/IGBgcyfP58RI0bQo0cP9u/fz5o1a5QV9Pfu3ePkyZMaD2WEV7WnM2NKT09XrqGjoyNGRkY0atSI4cOH079/fwYMGEBGRgbTpk1DW1ub+vXrK+OULVuW0NBQpWzE6NGjadKkCSVLluTJkyesWrWKqKgodu3aVeBzlleMuTl06BCfffZZgecUQogPLWHa23+wKYQQQggh/mPUQrwnT548UX/xxRdqAwMDtbW1tXrGjBnqunXrqgcOHKi0sbe3V8+aNUt5P3PmTLWtra1aX19f7evrq16+fLkaUD98+FBpExUVpa5Ro4ZaV1dXbWZmpvb19dXYr1ar1V26dFFbWFio//77b43t48ePV1eoUEF5n5aWpg4KClKbmJiozc3N1SNHjlS3a9dO3aFDB6XNmzFnql27ttrNzS3bY1+4cKHaxcVFXbhwYbWtra16wIAByr7k5GT1gAED1MWKFVMXLlxYbWdnp+7cubM6MTEx2xgzXb9+Xd2iRQu1oaGh2tjYWN2uXTv1nTt3cjy27OzYsUNdvHhxdXp6urLtwIEDaiDLq1u3bhp9ly5dqnZ0dFTr6empK1SooN60aZPG/m7duqnr1q2rsc3e3j7bsdVqtfrq1atqXV1ddUpKikafiIiIbPuMHz9eaXP58mV1mzZt1EWLFlUbGBioPTw81MuXL9cYp27duhrHULdu3Xwd55uxmJqaamy7du1atuMA6gMHDuTaP/NcX7t2Ldc58zp+tVqtDg0NVZcoUUJtYGCgrl69uvrQoUO5Hn/m/BUrVlTr6OioS5curY6IiFD2LVmyRF2zZs0s8XTr1i3PY929e7e6Zs2aalNTU7W5ubm6QYMG6iNHjmiMA2jM16NHD7W9vb1aR0dHbWVlpW7YsKF69+7dOZ6XzFhatmz5VjGq1Vl/Rp4/f642NTXNEuvbevz4sRpQP378+J2MJ4QQQgghhBBC5Ca/f4eq1Gq1+t9INAvxMWnYsCFubm7MnTu3QP0yMjJwdXXF39+fSZMm5dhOrVbj5OREv379GDJkyD8N971Rq9VUrVqVwYMH07Fjxw8ay8yZM9m7dy87duz4oHHkJjIykkGDBvHo0aN30j8iIoKpU6dy8eJFChcu/O4CfQdatGhBrVq1GDFixIcOJUcBAQE8evSITZs2vVX/kJAQNm3apKwgXrBgARs3bmT37t3vJL7k5GRMTU15/Pjxe6spLYQQQgghhBDivyu/f4dKDWHxP+3hw4ds3LiRqKgo+vfvn2f769evs3jxYi5fvsy5c+fo27cv165do1OnTjn2+fPPP5k/fz537tyhe/fu7zL8f51KpeL777/n5cuXHzoUSpQowejRoz90GHl6/PgxRkZGjBw5skD9jIyMsjyMbMeOHUydOvWjSwYD1KpV64N/SJAf27Ztw8jISKM8SF4SExMxMjJi6tSpGtsLFy7MvHnz3nWIQgghhBBCCCHER0VWCIv/aQ4ODjx8+JCxY8cybNiwPNvfuHGDDh06cP78edRqNeXLl2fatGnUqVMnxz4qlYoiRYowZ86cXBPH4tP35MkT7t69C4CZmVmuD/57U2Zd5kKFClGqVKl/Jb7/mnv37pGcnAyAra0thoaG+er38uVLEhISANDV1c3xQZP/lKwQFkIIIYQQQgjxPuX371BJCAvxH/dPyyC8T29+xf+flgz4L3NwcGDQoEEMGjToQ4fyj6hUKjZu3Kg8GPHSpUsEBAQQExND2bJllXvlQ5CEsBBCCCGEEEKI90lKRgghPgndu3fn66+//tBhiP8R48ePx9DQkLi4OPbt25evPiEhIVSsWPHfDUwIIYQQQgghhPhIaH/oAIT4lKSmpqKjo/Ohw/ifkZ6ezrZt29i+ffuHDiVH6enpqFQqtLTk87NPQXx8PM2aNcPe3v5DhyKEEB8lh1Ef7/+5n5qEac0+dAhCCCGEEG9FMhziP6tevXoEBQURFBSEqakpRYoUYezYsbxeRcXBwYFJkybRtWtXTExM6NOnDwCHDx+mdu3a6OvrY2dnR3BwME+fPlX6JSUl0axZM/T19SlVqhSrVq3CwcGB2bNnK21UKhVLliyhdevWGBgY4OTkxJYtW5T96enp9OzZk1KlSqGvr4+Liwtz5szROIaAgABatWpFWFgYtra2WFpa0r9/f9LS0pQ2Dx8+pGvXrpibm2NgYECTJk24cuVKrudmwYIFlClTBh0dHVxcXFixYoXG/rxiBzh//jxNmjTByMgIa2trunTpwl9//aXR5rfffqNw4cJUrlwZgJEjR+Ls7IyBgQGlS5dm7NixGseSlxcvXhAcHEzRokXR09OjVq1anDhxQtkfFRWFSqVi+/bteHh4oKenR7Vq1Th//rzSJjIyEjMzM7Zs2UK5cuXQ1dUlMTGRFy9eMGzYMIoXL46hoSFVq1YlKipKY/7FixdjZ2eHgYEBrVu3ZubMmZiZmSn7M1eirlixAgcHB0xNTenQoQNPnjxR2uzcuZNatWphZmaGpaUlzZs3Jz4+XtmfkJCASqViw4YN1K9fHwMDAypUqMCRI0c0Ylm/fj1ubm7o6uri4OBAeHh4rucuMTGRli1bYmRkhImJCf7+/kq95PzGnpGRQWhoqHLPVqhQgXXr1uU673fffYeTkxN6enpYW1vTtm1bZd+bPzMAFStWJCQkJNuxVCoVp06dYuLEiahUKqVdbvdVZGQkEyZM4OzZs6hUKlQqFZGRkQA8evSIXr16YWVlhYmJCQ0aNODs2bO5Ho8QQgghhBBCCPGxk4Sw+E9btmwZ2traHD9+nDlz5jBz5kyWLFmi0SYsLIwKFSpw5swZxo4dS3x8PI0bN+bzzz/n999/5+eff+bw4cMEBQUpfbp27crt27eJiopi/fr1fP/999y7dy/L/BMmTMDf35/ff/+dpk2b0rlzZx48eAC8Sq6VKFGCtWvXcvHiRcaNG8dXX33FmjVrNMY4cOAA8fHxHDhwgGXLlhEZGakktOBV0vjkyZNs2bKFI0eOoFaradq0aY6J1o0bNzJw4ECGDh3K+fPn+fLLL+nevTsHDhzId+yPHj2iQYMGeHp6cvLkSXbu3Mndu3fx9/fXGGPLli34+fmhUqkAMDY2JjIykosXLzJnzhwWL17MrFmzcruEGkaMGMH69etZtmwZp0+fxtHREV9fXyWuTMOHDyc8PJwTJ05gZWWFn5+fxvl49uwZ06dPZ8mSJVy4cIGiRYsSFBTEkSNHWL16Nb///jvt2rWjcePGSnI9OjqawMBABg4cSExMDI0aNWLKlClZYoyPj2fTpk1s27aNbdu2cfDgQaZNm6bsf/r0KUOGDOHkyZPs27cPLS0tWrduTUZGhsY4Y8aMYdiwYcTExODs7EzHjh15+fIlAKdOncLf358OHTpw7tw5QkJCGDt2rMZ98bqMjAxatmzJgwcPOHjwIHv27OGPP/6gffv2BYo9NDSU5cuXs3DhQi5cuMDgwYP54osvOHjwYLbznjx5kuDgYCZOnEhcXBw7d+7M9QGOeUlKSsLNzY2hQ4eSlJSkPEgyt/uqffv2DB06FDc3N5KSkkhKSlKOu127dty7d49ffvmFU6dO4eXlRcOGDbPcT5levHhBcnKyxksIIYQQQgghhPjYyEPlxH9WvXr1uHfvHhcuXFASkqNGjWLLli1cvHgReLVC0dPTk40bNyr9evXqRaFChVi0aJGy7fDhw9StW5enT5+SkJCAq6srJ06cwNvbG4CrV6/i5OTErFmzlId4qVQqvv76ayZNmgS8SgQaGRnxyy+/0Lhx42xjDgoK4s6dO8qqy4CAAKKiooiPj6dQoUIA+Pv7o6WlxerVq7ly5QrOzs5ER0dTo0YNAO7fv4+dnR3Lli2jXbt2WR4qV7NmTdzc3Pj++++Vef39/Xn69KlS2iGv2CdPnsyhQ4fYtWuXMsbNmzexs7MjLi4OZ2dnAJydnZk1axbNmmX/lcuwsDBWr17NyZMngdwfKvf06VPMzc2JjIykU6dOAKSlpSkPTxs+fDhRUVHUr1+f1atXK0m/Bw8eUKJECSIjI/H39ycyMpLu3bsTExNDhQoVgFerZ0uXLk1iYiLFihVT4vPx8aFKlSpMnTqVDh06kJKSwrZt25T9X3zxBdu2bVPObUhICN988w137tzB2NgYeJXE/vXXXzl69Gi25+Cvv/7CysqKc+fOUb58eRISEihVqhRLliyhZ8+eAFy8eBE3NzdiY2MpW7YsnTt35s8//2T37t3KOCNGjGD79u1cuHAB0Hyo3J49e2jSpAnXrl3Dzs5OY8zjx49TuXLlPGN/8eIFFhYW7N27l+rVqyvz9urVi2fPnrFq1aosx7Zhwwa6d+/OzZs3lTFfl92D7ypWrEirVq2U1b9vPlTuzf3Zyeu+glc/082aNePevXvo6uoq2x0dHRkxYoTybYHXhYSEMGHChCzb5aFyQoiPiZSMeHekZIQQQgghPjbyUDkh8qFatWpKMhigevXqXLlyhfT0dGVbZlI309mzZ4mMjMTIyEh5+fr6kpGRwbVr14iLi0NbWxsvLy+lj6OjI+bm5lnm9/DwUP5taGiIiYmJxkrib7/9lkqVKmFlZYWRkRHff/89iYmJGmO4ubkpyWAAW1tbZYzY2Fi0tbWpWrWqst/S0hIXFxdiY2OzPSexsbHUrFlTY1vNmjWztM8t9rNnz3LgwAGNc1S2bFkApfxBbGwst2/fpmHDhso4P//8MzVr1sTGxgYjIyO+/vrrLMebk/j4eNLS0jRiL1y4MFWqVMkS++sJSwsLiyznQ0dHR+P4zp07R3p6Os7OzhrHdPDgQeV44uLiqFKlisY8b76HV0nO15Ofr18vgCtXrtCxY0dKly6NiYkJDg4OAFnOw+vx2draAmhc9+yu4Zv3dqbY2Fjs7OyUZDBAuXLlMDMz0zgvucV+9epVnj17RqNGjTTO0fLlyzVKXryuUaNG2NvbU7p0abp06cLKlSt59uxZtm3/ibe5r86ePUtKSgqWlpYax3Pt2rUcj2f06NE8fvxYed24ceOdH4sQQgghhBBCCPFPyUPlhMiDoaGhxvuUlBS+/PJLgoODs7QtWbIkly9fzvfYhQsX1nivUqmU0gCrV69m2LBhhIeHU716dYyNjfnmm284duxYvsf4N+U2b0pKCn5+fkyfPj1Lv8zk5ZYtW2jUqBF6enoAHDlyhM6dOzNhwgR8fX0xNTVl9erVeda+/Tfo6+trfFCQkpJCoUKFOHXqlEbyHcDIyKhAY+d1vfz8/LC3t2fx4sUUK1aMjIwMypcvT2pqao7jZMb6b1/3vK45wPbt2ylevLhGu9dX2L7O2NiY06dPExUVxe7duxk3bhwhISGcOHECMzMztLS0ePNLLAWpKQ1vf1+lpKRga2ubpU40oFEX+nW6uro5HqsQQgghhBBCCPGxkISw+E97M7l69OhRnJycsiT9Xufl5cXFixdxdHTMdr+LiwsvX77kzJkzVKpUCXi1evLhw4cFii2zzEO/fv2UbTmtTMyJq6srL1++5NixYxolI+Li4ihXrlyOfaKjo+nWrZtGLDm1z46Xlxfr16/HwcEBbe3sf81s3rxZ42v3v/32G/b29owZM0bZdv369XzPmfkQvOjoaOzt7YFXycMTJ05olByAV9e5ZMmSwKuH7l2+fBlXV9ccx/b09CQ9PZ179+5Ru3btbNu4uLhoPMAOyPI+L5nXZvHixco8hw8fLtAY8P/X8HXR0dE4Oztne2+7urpy48YNbty4oVEy4tGjR/m+7q8/gK9u3br5jlVbWxsfHx98fHwYP348ZmZm7N+/nzZt2mBlZUVSUpLSNjk5mWvXruV7bMjffaWjo5Nl5bSXlxd37txBW1tbWaUthBBCCCGEEEL8L5CEsPhPS0xMZMiQIXz55ZecPn2aefPm5blycOTIkVSrVo2goCB69eqFoaEhFy9eZM+ePcyfP5+yZcvi4+NDnz59WLBgAYULF2bo0KFZVp3mxcnJieXLl7Nr1y5KlSrFihUrOHHiBKVKlSrQGC1btqR3794sWrQIY2NjRo0aRfHixWnZsmW2fYYPH46/vz+enp74+PiwdetWNmzYwN69e/M9b//+/Vm8eDEdO3ZkxIgRWFhYcPXqVVavXs2SJUu4f/++8qC712NNTExk9erVVK5cme3bt2vUbs6LoaEhffv2Zfjw4VhYWFCyZElmzJjBs2fPlFq7mSZOnIilpSXW1taMGTOGIkWKKDVos+Ps7Eznzp3p2rUr4eHheHp68ueff7Jv3z48PDxo1qwZAwYMoE6dOsycORM/Pz/279/PL7/8UqBrbm5ujqWlJd9//z22trYkJiYyatSofPfPNHToUCpXrsykSZNo3749R44cYf78+Xz33XfZtvfx8cHd3Z3OnTsze/ZsXr58Sb9+/ahbt26Wkik5MTY2ZtiwYQwePJiMjAxq1arF48ePiY6OxsTEROMDhkzbtm3jjz/+oE6dOpibm7Njxw4yMjJwcXEBoEGDBkRGRuLn54eZmRnjxo3L9cOa7OTnvnJwcODatWvExMRQokQJjI2N8fHxoXr16rRq1YoZM2bg7OzM7du32b59O61bt873eRFCiI+N1L0VQgghhBBSQ1j8p3Xt2pXnz59TpUoV+vfvz8CBA7N9WNTrPDw8OHjwIJcvX6Z27dp4enoybtw4jYeNLV++HGtra+rUqUPr1q3p3bs3xsbGSnmE/Pjyyy9p06YN7du3p2rVqty/f19jtXB+RUREUKlSJZo3b0716tVRq9Xs2LEjy9f/M7Vq1Yo5c+YQFhaGm5sbixYtIiIignr16uV7zmLFihEdHU16ejqfffYZ7u7uDBo0SCkDsHXrVqpUqUKRIkWUPi1atGDw4MEEBQVRsWJFfvvtN8aOHVugY502bRqff/45Xbp0wcvLi6tXr7Jr164s9ZunTZvGwIEDqVSpEnfu3GHr1q3o6OjkOnZERARdu3Zl6NChuLi40KpVK06cOKGsNK5ZsyYLFy5k5syZVKhQgZ07dzJ48OACXfPMhwGeOnWK8uXLM3jwYL755psCnQN4tbp1zZo1rF69mvLlyzNu3DgmTpxIQEBAtu1VKhWbN2/G3NycOnXq4OPjQ+nSpfn5558LNO+kSZMYO3YsoaGhuLq60rhxY7Zv357jhxhmZmZs2LCBBg0a4OrqysKFC/npp59wc3MDXtXkrVu3Ls2bN6dZs2a0atWKMmXKFCim/NxXn3/+OY0bN6Z+/fpYWVnx008/oVKp2LFjB3Xq1KF79+44OzvToUMHrl+/jrW1dYFiEEIIIYQQQgghPiYq9ZsFGoX4j6hXrx4VK1Zk9uzZ//pcN2/exM7Ojr1792o8RO2/qkWLFtSqVYsRI0a813mjoqKoX78+Dx8+zLEO7LvUu3dvLl26xKFDh/71ucTHJ79PdxVCCCGEEEIIId6F/P4dKiUjhPgX7N+/n5SUFNzd3UlKSmLEiBE4ODhQp06dDx3aR6FWrVp07NjxQ4fxzoWFhdGoUSMMDQ355ZdfWLZsWY5lGoQQQgghhBBCCCE+BEkIC/EvSEtL46uvvuKPP/7A2NiYGjVqsHLlyhzLNPzXvO+Vwe/L8ePHmTFjBk+ePKF06dLMnTuXXr16feiwhBBCCCGEEEIIIRRSMkIIId6zhIQESpUqxZkzZ6hYseKHDuedq1OnDoGBgXTq1OlDh/JOLFy4kO3bt7N169YC9ZOSEUIIIYQQQggh3icpGSGEECJfHBwcGDRoEIMGDfrHY23ZsoW7d+/SoUMHAB48eMD48ePZvXs3iYmJWFlZ0apVKyZNmoSpqSkAZ8+eZdq0aRw+fJi//voLBwcHAgMDGThwYL7nDQwMZNGiRcyaNavAx6FWqwkPD+f777/n+vXrFClShH79+jFmzBgAevTowaRJkzh06BC1a9cu0NhCCPGxcRi1/UOHIICEac0+dAhCCCGE+A+ThLAQQnxk1Go16enpaGt/er+i586dS/fu3dHS0gLg9u3b3L59m7CwMMqVK8f169cJDAzk9u3brFu3DoBTp05RtGhRfvzxR+zs7Pjtt9/o06cPhQoVIigoKM85N27cyNGjRylWrNhbxTxw4EB2795NWFgY7u7uPHjwgAcPHij7dXR06NSpE3PnzpWEsBBCCCGEEEKIT57Whw5ACCE+ZTt37qRWrVqYmZlhaWlJ8+bNiY+P12hz/PhxPD090dPTw9vbmzNnzmjsj4qKQqVS8csvv1CpUiV0dXU5fPgwGRkZhIaGUqpUKfT19alQoYKSRH293759+/D29sbAwIAaNWoQFxentImPj6dly5ZYW1tjZGRE5cqV2bt3r7K/Xr16XL9+ncGDB6NSqVCpVMq+w4cPU7t2bfT19bGzsyM4OJinT5/meC7+/PNP9u/fj5+fn7KtfPnyrF+/Hj8/P8qUKUODBg2YMmUKW7du5eXLl8CrFbhz5syhbt26lC5dmi+++ILu3buzYcOGPM//rVu3GDBgQLY1uhMSElCpVGzYsIH69etjYGBAhQoVOHLkiNImNjaWBQsWsHnzZlq0aEGpUqWoVKkSjRo10hjLz8+PLVu28Pz58zxjEkIIIYQQQgghPmaSEBZCiH/g6dOnDBkyhJMnT7Jv3z60tLRo3bo1GRkZAKSkpNC8eXPKlSvHqVOnCAkJYdiwYdmONWrUKKZNm0ZsbCweHh6EhoayfPlyFi5cyIULFxg8eDBffPEFBw8e1Og3ZswYwsPDOXnyJNra2vTo0UPZl5KSQtOmTdm3bx9nzpyhcePG+Pn5kZiYCMCGDRsoUaIEEydOJCkpiaSkJOBVIrlx48Z8/vnn/P777/z8888cPnw41xW7hw8fxsDAAFdX11zPWWYto9xWQD9+/BgLCwvlfWZyNyoqStmWkZFBly5dGD58OG5ubjmONWbMGIYNG0ZMTAzOzs507NhRSUZv3bqV0qVLs23bNkqVKoWDgwO9evXSWCEM4O3tzcuXLzl27FiO87x48YLk5GSNlxBCCCGEEEII8bH59L6PLIQQH5HPP/9c4/0PP/yAlZUVFy9epHz58qxatYqMjAyWLl2Knp4ebm5u3Lx5k759+2YZa+LEicrK1BcvXjB16lT27t1L9erVAShdujSHDx9m0aJF1K1bV+k3ZcoU5f2oUaNo1qwZf//9N3p6elSoUIEKFSoobSdNmsTGjRvZsmULQUFBWFhYUKhQIYyNjbGxsVHahYaG0rlzZ6Uer5OTE3PnzqVu3bosWLAAPT29LPFfv34da2trpVxEdv766y8mTZpEnz59cmzz22+/8fPPP7N9+//XuSxcuDAuLi4YGBgo26ZPn462tjbBwcE5jgUwbNgwmjV7VatxwoQJuLm5cfXqVcqWLcsff/zB9evXWbt2LcuXLyc9PZ3BgwfTtm1b9u/fr4xhYGCAqakp169fz3Ge0NBQJkyYkGssQgghhBBCCCHEhyYJYSGE+AeuXLnCuHHjOHbsGH/99ZeyMjgxMZHy5csrq31fT6BmJnjf5O3trfz76tWrPHv2LEvpgtTUVDw9PTW2eXh4KP+2tbUF4N69e5QsWZKUlBRCQkLYvn07SUlJvHz5kufPnysrhHNy9uxZfv/9d1auXKlsU6vVZGRkcO3atWxXAT9//jzbRHGm5ORkmjVrRrly5QgJCcm2zfnz52nZsiXjx4/ns88+U7YXL16cS5cuKe9PnTrFnDlzOH36tEaZi+zkdH7Kli1LRkYGL168YPny5Tg7OwOwdOlSKlWqRFxcHC4uLkpffX19nj17luM8o0ePZsiQIRrHa2dnl2tsQgghhBBCCCHE+yYJYSGE+Af8/Pywt7dn8eLFFCtWjIyMDMqXL09qamqBxzI0NFT+nZKSAsD27dspXry4RjtdXV2N96/Xzs1MjmYmpocNG8aePXsICwvD0dERfX192rZtm2d8KSkpfPnll9muvi1ZsmS2fYoUKcLDhw+z3ffkyRMaN26MsbExGzduzFLvF+DixYs0bNiQPn368PXXX+ca36FDh5Skd6b09HSGDh3K7NmzSUhIULbndn5sbW3R1tZWksGAkuxOTEzUSAg/ePAAKyurHGPS1dXNcm2EEEIIIYQQQoiPjSSEhRDiLd2/f5+4uDgWL15M7dq1gVd1dF/n6urKihUrlBIOAEePHs1z7HLlyqGrq0tiYqJGeYiCio6OJiAggNatWwOvEr2vJ0sBdHR0SE9P19jm5eXFxYsXcXR0zPdcnp6e3Llzh4cPH2Jubq5sT05OxtfXF11dXbZs2ZLtKuILFy7QoEEDunXrxpQpU/Kcq0uXLvj4+Ghs8/X1pUuXLnTv3j3fMdesWZOXL18SHx9PmTJlALh8+TIA9vb2Srv4+Hj+/vvvLKuzhRDiU5MwrdmHDkEIIYQQQnxg8lA5IYR4S+bm5lhaWvL9999z9epV9u/fr1EyAKBTp06oVCp69+7NxYsX2bFjB2FhYXmObWxszLBhwxg8eDDLli0jPj6e06dPM2/ePJYtW5bvGJ2cnNiwYQMxMTGcPXuWTp06KatjMzk4OPDrr79y69Yt/vrrLwBGjhzJb7/9RlBQEDExMVy5coXNmzfn+lA5T09PihQpQnR0tLItOTmZzz77jKdPn7J06VKSk5O5c+cOd+7cUZLQ58+fp379+nz22WcMGTJE2f/nn38q49y6dYuyZcty/PhxACwtLSlfvrzGq3DhwtjY2Gis6s2Lj48PXl5e9OjRgzNnznDq1Cm+/PJLGjVqpLFq+NChQ5QuXVpJGgshhBBCCCGEEJ8qSQgLIcRb0tLSYvXq1Zw6dYry5cszePBgvvnmG402RkZGbN26lXPnzuHp6cmYMWOYPn16vsafNGkSY8eOJTQ0FFdXVxo3bsz27dspVapUvmOcOXMm5ubm1KhRAz8/P3x9ffHy8tJoM3HiRBISEihTpoxSEsHDw4ODBw9y+fJlateujaenJ+PGjaNYsWI5zlWoUCG6d++uUXf49OnTHDt2jHPnzuHo6Iitra3yunHjBgDr1q3jzz//5Mcff9TYX7lyZWWctLQ04uLicq3h+za0tLTYunUrRYoUoU6dOjRr1gxXV1dWr16t0e6nn36id+/e73RuIYQQQgghhBDiQ1Cp1Wr1hw5CCCHE/4Y7d+7g5ubG6dOnNUoufMoyy1lcvnwZU1PTfPdLTk7G1NSUx48fY2Ji8i9GKIQQQgghhBBC5P/vUFkhLIQQ4p2xsbFh6dKlJCYmfuhQ3pmkpCSWL19eoGSwEEIIIYQQQgjxsZIVwkIIIbKIjIxk0KBBPHr06EOH8smSFcJCCCGEEEIIId4nWSEshBAiXxwcHJg9e7bGtvbt23P58uX3Mn9UVBQqlUqSz0IIIYQQQgghxHug/aEDEEII8WGkpqaio6OT7T59fX309fXfc0T/jFqtJj09HW1t+a9NCCFy4jBq+3uZJ2Fas/cyjxBCCCGEKDhZISyEEJ+QjIwMZsyYgaOjI7q6upQsWZIpU6YAcO7cORo0aIC+vj6Wlpb06dOHlJQUpW9AQACtWrViypQpFCtWDBcXF+rVq8f169cZPHgwKpUKlUoFvCoZYWZmpjH31q1bqVy5Mnp6ehQpUoTWrVsr+x4+fEjXrl0xNzfHwMCAJk2acOXKFWX/9evX8fPzw9zcHENDQ9zc3NixYwcJCQnUr18fAHNzc1QqFQEBAcqxhoaGUqpUKfT19alQoQLr1q1TxsxcWfzLL79QqVIldHV1OXz4MC9evCA4OJiiRYuip6dHrVq1OHHiRJZ++/btw9vbGwMDA2rUqEFcXJzG8W7evBkvLy/09PQoXbo0EyZM4OXLl//g6gkhhBBCCCGEEB+eJISFEOITMnr0aKZNm8bYsWO5ePEiq1atwtramqdPn+Lr64u5uTknTpxg7dq17N27l6CgII3++/btIy4ujj179rBt2zY2bNhAiRIlmDhxIklJSSQlJWU77/bt22ndujVNmzblzJkz7Nu3jypVqij7AwICOHnyJFu2bOHIkSOo1WqaNm1KWloaAP379+fFixf8+uuvnDt3junTp2NkZISdnR3r168HIC4ujqSkJObMmQNAaGgoy5cvZ+HChVy4cIHBgwfzxRdfcPDgQY3YRo0axbRp04iNjcXDw4MRI0awfv16li1bxunTp3F0dMTX15cHDx5o9BszZgzh4eGcPHkSbW1tevTooew7dOgQXbt2ZeDAgVy8eJFFixYRGRmpJN+FEEIIIYQQQohPlTxUTgghPhFPnjzBysqK+fPn06tXL419ixcvZuTIkdy4cQNDQ0MAduzYgZ+fH7dv38ba2pqAgAB27txJYmKiRqkIBwcHBg0axKBBg5Rtbz5UrkaNGpQuXZoff/wxS1xXrlzB2dmZ6OhoatSoAcD9+/exs7Nj2bJltGvXDg8PDz7//HPGjx+fpX9UVBT169fn4cOHyqrkFy9eYGFhwd69e6levbrStlevXjx79oxVq1Yp/TZt2kTLli0BePr0Kebm5kRGRtKpUycA0tLSlGMcPny40m/v3r00bNhQOVfNmjXj+fPn6Onp4ePjQ8OGDRk9erQy948//siIESO4fft2ttfnxYsXvHjxQnmfnJyMnZ2dPFROCPFRkZIRQgghhBD/u/L7UDkptCiEEJ+I2NhYXrx4oSQx39xXoUIFJRkMULNmTTIyMoiLi8Pa2hoAd3f3HOsG5yYmJobevXvnGJe2tjZVq1ZVtllaWuLi4kJsbCwAwcHB9O3bl927d+Pj48Pnn3+Oh4dHjvNdvXqVZ8+e0ahRI43tqampeHp6amzz9vZW/h0fH09aWho1a9ZUthUuXJgqVaoosWR6fX5bW1sA7t27R8mSJTl79izR0dEaK4LT09P5+++/efbsGQYGBlliDg0NZcKECTkekxBCCCGEEEII8TGQhLAQQnwi3sVD3l5PGL/PuXv16oWvry/bt29n9+7dhIaGEh4ezoABA7Jtn1n7ePv27RQvXlxjn66ursb7tz2mwoULK//OrJ2ckZGhzD9hwgTatGmTpZ+enl62440ePZohQ4Yo7zNXCAshhBBCCCGEEB8TqSEshBCfCCcnJ/T19dm3b1+Wfa6urpw9e5anT58q26Kjo9HS0sLFxSXXcXV0dEhPT8+1jYeHR7bzZs798uVLjh07pmy7f/8+cXFxlCtXTtlmZ2dHYGAgGzZsYOjQoSxevFiZH9CIoVy5cujq6pKYmIijo6PGK7cka5kyZdDR0SE6OlrZlpaWxokTJzRiyYuXlxdxcXFZ5nZ0dERLK/v/OnV1dTExMdF4CSGEEEIIIYQQHxtZISyEEJ8IPT09Ro4cyYgRI9DR0aFmzZr8+eefXLhwgc6dOzN+/Hi6detGSEgIf/75JwMGDKBLly5KuYicODg48Ouvv9KhQwd0dXUpUqRIljbjx4+nYcOGlClThg4dOvDy5Ut27NjByJEjcXJyomXLlvTu3ZtFixZhbGzMqFGjKF68uFLbd9CgQTRp0gRnZ2cePnzIgQMHcHV1BcDe3h6VSsW2bdto2rQp+vr6GBsbM2zYMAYPHkxGRga1atXi8ePHREdHY2JiQrdu3bI9FkNDQ/r27cvw4cOxsLCgZMmSzJgxg2fPntGzZ898n+tx48bRvHlzSpYsSdu2bdHS0uLs2bOcP3+eyZMn53scIYT42EhtXyGEEEIIISuEhRDiEzJ27FiGDh3KuHHjcHV1pX379ty7dw8DAwN27drFgwcPqFy5Mm3btqVhw4bMnz8/zzEnTpxIQkICZcqUwcrKKts29erVY+3atWzZsoWKFSvSoEEDjh8/ruyPiIigUqVKNG/enOrVq6NWq9mxY4dSliE9PZ3+/fvj6upK48aNcXZ25rvvvgOgePHiTJgwgVGjRmFtbU1QUBAAkyZNYuzYsYSGhir9tm/fTqlSpXI9nmnTpvH555/TpUsXvLy8uHr1Krt27cLc3Dxf5xjA19eXbdu2sXv3bipXrky1atWYNWsW9vb2+R5DCCGEEEIIIYT4GKnUarX6QwchhBBC/K/J79NdhRBCCCGEEEKIdyG/f4fKCmEhhBBCCCGEEEIIIYT4j5CEsBBCCCGEEEIIIYQQQvxHSEJYfBCRkZGYmZkVqE9AQACtWrX6V+L5t6hUKjZt2vShw/joODg4MHv27Hy3T0hIQKVSERMT86/F9E/Uq1ePQYMGfegwcvXmz1xISAgVK1bMd/+3vQZvXut3+TMRFRWFSqXi0aNHyrZNmzbh6OhIoUKFPvprIoQQQgghhBBCfAiSEBYFFhISgkql0niVLVv2Q4f1n/U+k87379+ncePGFCtWDF1dXezs7AgKCiI5Ofm9zP+u/f333wQEBODu7o62tna2HzgEBARkud9VKhVubm7vNJa3+ZDknxg2bBj79u17b/NlSkpKokmTJv/a+F9++SVt27blxo0bTJo0KV99PoWEvhBCCCGEEEII8a5of+gAxKfJzc2NvXv3Ku+1teVWehtpaWkULlz4Q4eRb1paWrRs2ZLJkydjZWXF1atX6d+/Pw8ePGDVqlUfOrwCS09PR19fn+DgYNavX59tmzlz5jBt2jTl/cuXL6lQoQLt2rV7X2H+K4yMjDAyMnrv89rY2PxrY6ekpHDv3j18fX0pVqzYvzaPEEJ8yhxGbf/QIbwzCdOafegQhBBCCCE+SbJCWLwVbW1tbGxslFeRIkU09s+cORN3d3cMDQ2xs7OjX79+pKSk5Dhe5tfXFy1ahJ2dHQYGBvj7+/P48eMsbcPCwrC1tcXS0pL+/fuTlpam7FuxYgXe3t4YGxtjY2NDp06duHfvXq7Hcv/+fTp27Ejx4sUxMDDA3d2dn376SaNNvXr1CA4OZsSIEVhYWGBjY0NISIhGmytXrlCnTh309PQoV64ce/bs0dif+ZX7n3/+mbp166Knp8fKlSvJyMhg4sSJlChRAl1dXSpWrMjOnTuVfqmpqQQFBWFra4uenh729vaEhoYCr76OD9C6dWtUKpXyPj4+npYtW2JtbY2RkRGVK1fWSOBn9p06dSo9evTA2NiYkiVL8v333+d6rszNzenbty/e3t7Y29vTsGFD+vXrx6FDh5Q2+Zn7TSqVigULFtCkSRP09fUpXbo069aty9Lujz/+oH79+hgYGFChQgWOHDmi7MvPdXyToaEhCxYsoHfv3jkmKk1NTTXu9ZMnT/Lw4UO6d++u0e7ly5cEBQVhampKkSJFGDt2LGq1Wtn/4sULhg0bRvHixTE0NKRq1apERUUBr0ofdO/encePHysrkDPvr7e5p+HViuOSJUtiYGBA69atuX//vsb+N0tG5HUf5se9e/fw8/NDX1+fUqVKsXLlyixtXl/Rntu9nV2JikePHqFSqZTz9rqoqCiMjY0BaNCggdIur/siICCAgwcPMmfOHOXcJyQkAHD+/HmaNGmCkZER1tbWdOnShb/++qtA50QIIYQQQgghhPjYSEJYvJUrV65QrFgxSpcuTefOnUlMTNTYr6Wlxdy5c7lw4QLLli1j//79jBgxItcxr169ypo1a9i6dSs7d+7kzJkz9OvXT6PNgQMHiI+P58CBAyxbtozIyEgiIyOV/WlpaUyaNImzZ8+yadMmEhISCAgIyHXev//+m0qVKrF9+3bOnz9Pnz596NKlC8ePH9dot2zZMgwNDTl27BgzZsxg4sSJStI3IyODNm3aoKOjw7Fjx1i4cCEjR47Mdr5Ro0YxcOBAYmNj8fX1Zc6cOYSHhxMWFsbvv/+Or68vLVq04MqVKwDMnTuXLVu2sGbNGuLi4li5cqWS+D1x4gQAERERJCUlKe9TUlJo2rQp+/bt48yZMzRu3Bg/P78s1yk8PBxvb2/lXPft25e4uLhcz9frbt++zYYNG6hbt66yLb9zv2ns2LF8/vnnnD17ls6dO9OhQwdiY2M12owZM4Zhw4YRExODs7MzHTt25OXLl0D+r+M/tXTpUnx8fLC3t9fYvmzZMrS1tTl+/Dhz5sxh5syZLFmyRNkfFBTEkSNHWL16Nb///jvt2rWjcePGXLlyhRo1ajB79mxMTExISkoiKSmJYcOGAW93Tx87doyePXsSFBRETEwM9evXZ/Lkybn2yes+zI+AgABu3LjBgQMHWLduHd99912uyevc7u2CqlGjhnLvrl+/nqSkJGrUqJHnfTFnzhyqV69O7969lXNvZ2fHo0ePaNCgAZ6enpw8eZKdO3dy9+5d/P393yo+IYQQQgghhBDiY6FSv76ETYh8+OWXX0hJScHFxYWkpCQmTJjArVu3OH/+vLJC703r1q0jMDBQWV0XGRnJoEGDlIdBhYSEMHnyZK5fv07x4sUB2LlzJ82aNePWrVvY2NgQEBBAVFQU8fHxFCpUCAB/f3+0tLRYvXp1tvOePHmSypUr8+TJkwJ9Pb558+aULVuWsLAw4NUK4fT0dI2VsFWqVKFBgwZMmzaN3bt306xZM65fv658VX3nzp00adKEjRs30qpVKxISEihVqhSzZ89m4MCByjjFixenf//+fPXVVxpjV65cmW+//Zbg4GAuXLjA3r17UalUWWJVqVTKHLkpX748gYGBBAUFAa9WCNeuXZsVK1YAoFarsbGxYcKECQQGBuY6VseOHdm8eTPPnz/Hz8+PNWvWoKenV6C5Bw0apNRtValUBAYGsmDBAqVPtWrV8PLy4rvvvlPO3ZIlS+jZsycAFy9exM3NjdjY2BxrWL95HXMTEBDAo0ePcq3HfPv2bUqWLMmqVas0EoP16tXj3r17XLhwQblGo0aNYsuWLVy8eJHExERKly5NYmKiRikDHx8fqlSpwtSpU7P8TOQkP/d0p06dePz4Mdu3///Xgjt06MDOnTs1fuY2bdqkrMDN6z7MvAZnzpzJ9mF0ly9fxsXFhePHj1O5cmUALl26hKurK7NmzdK41pn3a273dnbzPXr0CHNzcw4cOEC9evWIioqifv36PHz4EDMzsyz7c5Ldz3fFihU1Hn43efJkDh06xK5du5RtN2/exM7Ojri4OJydnbOM++LFC168eKG8T05Oxs7OjsePH2NiYpJjPEII8T5JyQghhBBCiP9dycnJmJqa5vl3qKwQFgXWpEkT2rVrh4eHB76+vuzYsYNHjx6xZs0apc3evXtp2LAhxYsXx9jYmC5dunD//n2ePXuW47glS5ZUksEA1atXJyMjQ2PFqpubm5IMBrC1tdVYgXjq1Cn8/PwoWbIkxsbGysrVzNWpbm5uSu3UzAdbpaenM2nSJNzd3bGwsMDIyIhdu3ZlWdHq4eGh8f71uWNjY7Gzs9NI9lWvXj3b4/T29lb+nZyczO3bt6lZs6ZGm5o1ayqrYwMCAoiJicHFxYXg4GB2796d7bivS0lJYdiwYbi6umJmZoaRkRGxsbG5HpNKpcLGxkY5psyvyhsZGWV5gNqsWbM4ffo0mzdvJj4+niFDhhR47je9eb6qV6+eZYXw6/Ha2toCKPHm9zr+E8uWLcPMzCzb5Hu1atU0kprVq1fnypUrpKenc+7cOdLT03F2dlbOqZGREQcPHiQ+Pj7XOd/mno6NjaVq1aoa4+R0P0L+7sO8xMbGoq2tTaVKlZRtZcuWzfVBeW9zbxfU294XZ8+e5cCBAxrXK/ODh5yuWWhoKKampsrLzs7unR+PEEIIIYQQQgjxT8mTwMQ/ZmZmhrOzM1evXgVerexr3rw5ffv2ZcqUKVhYWHD48GF69uxJamoqBgYGbz3Xmw9gU6lUZGRkAPD06VN8fX3x9fVl5cqVWFlZkZiYiK+vL6mpqQDs2LFDqTmsr68PwDfffMOcOXOYPXu2Uvd40KBBSp/8zF0QhoaGBWrv5eXFtWvX+OWXX9i7dy/+/v74+PhkW2M307Bhw9izZw9hYWE4Ojqir69P27ZtC3RMS5Ys4fnz59m2y6ynW7ZsWSwsLKhduzZjx47F1tY233O/jdfjyEy+Zsab3+v4ttRqNT/88ANdunRBR0enQH1TUlIoVKgQp06d0vhAA8h15frb3tOfitzubS2tV59Xvv4lltfrhefX294XKSkp+Pn5MX369Cz7Mj+MeNPo0aM1PhzJXCEshBBCCCGEEEJ8TCQhLP6xlJQU4uPj6dKlC/BqRWNGRgbh4eFKUuf11cM5SUxM5Pbt28oq26NHj6KlpYWLi0u+4rh06RL3799n2rRpShLm5MmTGm3erPsKEB0dTcuWLfniiy+AVwnGy5cvU65cuXzNC+Dq6sqNGzdISkpSkkVHjx7Ns5+JiQnFihUjOjpaow5vdHQ0VapU0WjXvn172rdvT9u2bWncuDEPHjzAwsKCwoULk56enuWYAgICaN26NfDqGmU+KCu/Xl+tnZvMhGzmV+Xfdu6jR4/StWtXjfeenp75jvddXMfcHDx4kKtXryolK9507NgxjfdHjx7FycmJQoUK4enpSXp6Ovfu3aN27drZ9tfR0clyHd/2nnZ1dc02npzk9z7MTdmyZXn58iWnTp1SSkbExcXlWQIjp3vbysoKgKSkJOU+eP0Bc/mVn/siu3Pv5eXF+vXrcXBwQFs7f/9V6urqoqurW+AYhRBCCCGEEEKI90kSwqLAhg0bhp+fH/b29ty+fZvx48dTqFAhOnbsCICjoyNpaWnMmzcPPz8/oqOjWbhwYZ7j6unp0a1bN8LCwkhOTiY4OBh/f39sbGzyFVfJkiXR0dFh3rx5BAYGcv78eSZNmpRnPycnJ9atW8dvv/2Gubk5M2fO5O7duwVKJPr4+ODs7Ey3bt345ptvSE5OZsyYMfnqO3z4cMaPH0+ZMmWoWLEiERERxMTEsHLlSgBmzpyJra0tnp6eaGlpsXbtWmxsbJSv4js4OLBv3z5q1qyJrq4u5ubmODk5sWHDBvz8/FCpVIwdO/atVjO/aceOHdy9e5fKlStjZGTEhQsXGD58ODVr1lQeBva2c69duxZvb29q1arFypUrOX78OEuXLs13bG97HS9evEhqaioPHjzgyZMnStLxzTq5S5cupWrVqpQvXz7bcRITExkyZAhffvklp0+fZt68eYSHhwPg7OxM586d6dq1K+Hh4Xh6evLnn3+yb98+PDw8aNasGQ4ODqSkpLBv3z4qVKiAgYHBW9/TwcHB1KxZk7CwMFq2bMmuXbvYuXNnrn3yug/z4uLiQuPGjfnyyy9ZsGAB2traDBo0KNdVy7nd21paWlSrVo1p06ZRqlQp7t27x9dff52vWF6Xn/vCwcGBY8eOkZCQgJGRERYWFvTv35/FixfTsWNHRowYgYWFBVevXmX16tUsWbIky0pvIYT4VEjdXSGEEEIIITWERYHdvHmTjh074uLigr+/P5aWlhw9elRZ0VehQgVmzpzJ9OnTKV++PCtXriQ0NDTPcR0dHWnTpg1Nmzbls88+w8PDg++++y7fcVlZWREZGcnatWspV64c06ZNy9fDxL7++mu8vLzw9fWlXr162NjY5PmAtjdpaWmxceNGnj9/TpUqVejVqxdTpkzJV9/g4GCGDBnC0KFDcXd3Z+fOnWzZsgUnJycAjI2NmTFjBt7e3lSuXJmEhAR27NihrL4ODw9nz5492NnZKSspZ86cibm5OTVq1MDPzw9fX1+8vLwKdEzZ0dfXZ/HixdSqVQtXV1cGDx5MixYt2LZtm9LmbeeeMGECq1evxsPDg+XLl/PTTz8VKCmfn+sYGRmZ5eFlTZs2xdPTk61btxIVFYWnp2eWlcmPHz9m/fr1Oa4OBujataty/fv378/AgQPp06ePsj8iIoKuXbsydOhQXFxcaNWqFSdOnKBkyZIA1KhRg8DAQNq3b4+VlRUzZsx463u6WrVqLF68mDlz5lChQgV2796dZzI1r/swPyIiIihWrBh169alTZs29OnTh6JFi+bYPq97+4cffuDly5dUqlSJQYMGMXny5HzHkik/98WwYcMoVKgQ5cqVU8pyZK6YTk9P57PPPsPd3Z1BgwYpyWohhBBCCCGEEOJTpVK/XqBRiA8kJCSETZs2vdVXwsWnT6VSsXHjxgIn4gtq/PjxHDx4kKioqH91HiEg/093FUIIIYQQQggh3oX8/h0qJSOEEP8Zv/zyC/Pnz//QYQghhBBCCCGEEEJ8MJIQFkL8Zxw/fvxDhyCEEEIIIYQQQgjxQUkhxP+YyMhI5WFk+RUQEPCvf5U/JCTknZaLUKlUbNq06Z2N97/CwcGB2bNn57t9QkICKpXqXy/loVar/5V77G3if5ufkbf1ZnxRUVGoVCoePXqU7zEKek3/l4SEhGR5+F9ISAjW1tbyO0AIIYQQQgghhMiBJIQ/ISEhIahUKo1X2bJlP3RY/1nvM+F0//59GjduTLFixdDV1cXOzo6goCCSk5Pfy/zv2t9//01AQADu7u5oa2tnmwwOCAjIcr+rVCrc3Nzef8DvSY0aNUhKSsLU1PRDh/JJio2NZcKECSxatIikpCSaNGmSr36SPBZCCCGEEEII8V8iJSM+MW5ubuzdu1d5r60tl/BtpKWlUbhw4Q8dRr5paWnRsmVLJk+ejJWVFVevXqV///48ePCAVatWfejwCiw9PR19fX2Cg4NZv359tm3mzJnDtGnTlPcvX76kQoUKtGvX7n2F+d7p6OhgY2PzocP4ZMXHxwPQsmVLVCrVB45GCCE+Tg6jtn/oEMR7kjCt2YcOQQghhBAfKVkh/InR1tbGxsZGeRUpUkRj/8yZM3F3d8fQ0BA7Ozv69etHSkpKjuNlfuV60aJF2NnZYWBggL+/P48fP87SNiwsDFtbWywtLenfvz9paWnKvhUrVuDt7Y2xsTE2NjZ06tSJe/fu5Xos9+/fp2PHjhQvXhwDAwPc3d356aefNNrUq1eP4OBgRowYgYWFBTY2NoSEhGi0uXLlCnXq1EFPT49y5cqxZ88ejf2ZX8v/+eefqVu3Lnp6eqxcuZKMjAwmTpxIiRIl0NXVpWLFiuzcuVPpl5qaSlBQELa2tujp6WFvb09oaCjw6mv6AK1bt0alUinv4+PjadmyJdbW1hgZGVG5cmWNBH5m36lTp9KjRw+MjY0pWbIk33//fa7nytzcnL59++Lt7Y29vT0NGzakX79+HDp0SGmTn7nfpFKpWLBgAU2aNEFfX5/SpUuzbt26LO3++OMP6tevj4GBARUqVODIkSPKvvxcxzcZGhqyYMECevfunWMC1NTUVONeP3nyJA8fPqR79+5Km507d1KrVi3MzMywtLSkefPmSlIwO5klGbZv346Hhwd6enpUq1aN8+fPZ2m7a9cuXF1dMTIyonHjxiQlJSn7Tpw4QaNGjShSpAimpqbUrVuX06dP53rM8KqGsaenJ3p6enh7e3PmzJls43u9ZMT69etxc3NDV1cXBwcHwsPD85zndZklX6ZOnYq1tTVmZmZMnDiRly9fMnz4cCwsLChRogQREREa/c6dO0eDBg3Q19fH0tKSPn36aPwuyRw3t98LDx8+pGvXrpibm2NgYECTJk24cuWKsv/69ev4+flhbm6OoaEhbm5u7NixA8i+dMemTZtyTPSGhITg5+cHvPoAJbNdXtcqp59lgM2bN+Pl5YWenh6lS5dmwoQJvHz5Mp9nXgghhBBCCCGE+DhJQvgTc+XKFYoVK0bp0qXp3LkziYmJGvu1tLSYO3cuFy5cYNmyZezfv58RI0bkOubVq1dZs2YNW7duZefOnZw5c4Z+/fpptDlw4ADx8fEcOHCAZcuWERkZSWRkpLI/LS2NSZMmcfbsWTZt2kRCQgIBAQG5zvv3339TqVIltm/fzvnz5+nTpw9dunTJ8uCvZcuWYWhoyLFjx5gxYwYTJ05Ukr4ZGRm0adMGHR0djh07xsKFCxk5cmS2840aNYqBAwcSGxuLr68vc+bMITw8nLCwMH7//Xd8fX1p0aKFkrCaO3cuW7ZsYc2aNcTFxbFy5UolWXTixAkAIiIiSEpKUt6npKTQtGlT9u3bx5kzZ2jcuDF+fn5ZrlN4eLiSEOzXrx99+/YlLi4u1/P1utu3b7Nhwwbq1q2rbMvv3G8aO3Ysn3/+OWfPnqVz58506NCB2NhYjTZjxoxh2LBhxMTE4OzsTMeOHZXEWH6v4z+1dOlSfHx8sLe3V7Y9ffqUIUOGcPLkSfbt24eWlhatW7cmIyMj17GGDx9OeHg4J06cwMrKCj8/P41E5rNnzwgLC2PFihX8+uuvJCYmMmzYMGX/kydP6NatG4cPH+bo0aM4OTnRtGlTnjx5kuOcKSkpNG/enHLlynHq1ClCQkI0xszOqVOn8Pf3p0OHDpw7d46QkBDGjh2r8bOXH/v37+f27dv8+uuvzJw5k/Hjx9O8eXPMzc05duwYgYGBfPnll9y8eRN4dV59fX0xNzfnxIkTrF27lr179xIUFKQxbl6/FwICAjh58iRbtmzhyJEjqNVqmjZtqpzr/v378+LFC3799VfOnTvH9OnTMTIyKtCxZRo2bJiS1E5KSlIS+Hldq5x+lg8dOkTXrl0ZOHAgFy9eZNGiRURGRjJlypQcY3jx4gXJyckaLyGEEEIIIYQQ4mOjUqvV6g8dhMifX375hZSUFFxcXEhKSmLChAncunWL8+fPY2xsnG2fdevWERgYyF9//QW8WnU3aNAgZQViSEgIkydP5vr16xQvXhx4teqyWbNm3Lp1CxsbGwICAoiKiiI+Pp5ChQoB4O/vj5aWFqtXr8523pMnT1K5cmWePHlSoARP8+bNKVu2LGFhYcCrFcLp6ekaK2GrVKlCgwYNmDZtGrt376ZZs2Zcv36dYsWKKfE3adKEjRs30qpVKxISEihVqhSzZ89m4MCByjjFixenf//+fPXVVxpjV65cmW+//Zbg4GAuXLjA3r17s12VqFKplDlyU758eQIDA5VkmoODA7Vr12bFihXAqweq2djYMGHCBAIDA3Mdq2PHjmzevJnnz5/j5+fHmjVr0NPTK9DcgwYNYtCgQcoxBAYGsmDBAqVPtWrV8PLy4rvvvlPO3ZIlS+jZsycAFy9exM3NjdjY2BxrWL95HXMTEBDAo0ePcq3hevv2bUqWLMmqVavw9/fPsd1ff/2FlZUV586do3z58kr8Z86coWLFikRFRVG/fn1Wr15N+/btAXjw4AElSpQgMjISf39/IiMj6d69O1evXqVMmTIAfPfdd0ycOJE7d+5kO29GRgZmZmasWrWK5s2bZ9vm+++/56uvvuLmzZvKNVu4cCF9+/bNEt/Dhw8xMzOjc+fO/Pnnn+zevVsZZ8SIEWzfvp0LFy4AWa9pduc3KiqKP/74Ay2tV58Bli1blqJFi/Lrr78Cr0p4mJqasmTJEjp06MDixYsZOXIkN27cwNDQEIAdO3bg5+fH7du3sba2zvP3wpUrV3B2diY6OpoaNWoAr1aT29nZsWzZMtq1a4eHhweff/4548ePzxL3m7+r4NUK4datW5P531ZISAibNm1SHsr35v78XqvsfpZ9fHxo2LAho0ePVrb9+OOPjBgxgtu3b2c7dkhICBMmTMiy/fHjx5iYmOQYkxBCvE9SMuK/Q0pGCCGEEP89ycnJmJqa5vl3qKwQ/oQ0adJESaL4+vqyY8cOHj16xJo1a5Q2e/fupWHDhhQvXhxjY2O6dOnC/fv3efbsWY7jlixZUkkGA1SvXp2MjAyNFatubm5K0gfA1tZWoyTEqVOn8PPzo2TJkhgbGysrVzNXp7q5uWFkZISRkZHyoKf09HQmTZqEu7s7FhYWGBkZsWvXriwrWj08PDTevz53bGwsdnZ2SjI4M/7seHt7K/9OTk7m9u3b1KxZU6NNzZo1ldWxAQEBxMTE4OLiQnBwsEZSLicpKSkMGzYMV1dXzMzMMDIyIjY2NtdjUqlU2NjYKMfUpEkT5Vy9+QC1WbNmcfr0aTZv3kx8fDxDhgwp8NxvevN8Va9ePcsK4dfjtbW1BVDize91/CeWLVuGmZlZluT7lStX6NixI6VLl8bExERZwV2QY7awsMDFxUXjmA0MDJRkMGS93+/evUvv3r1xcnLC1NQUExMTUlJSlHkDAwOVa5j5gUhsbKxSpiK7OLITGxub7T165coV0tPTc+37Ojc3NyUZDGBtbY27u7vyvlChQlhaWmr8XFWoUEFJBmfOW5DfC7GxsWhra1O1alVlv6Wlpca5Dg4OZvLkydSsWZPx48fz+++/5/uY8iuva5WTs2fPMnHiRI3r2Lt3b5KSknL8fTp69GgeP36svG7cuPHOj0cIIYQQQgghhPin5IlknzAzMzOcnZ25evUq8KpWbvPmzenbty9TpkzBwsKCw4cP07NnT1JTUzEwMHjrud58AJtKpVK+lp/59XJfX19WrlyJlZUViYmJ+Pr6kpqaCrxaXZj5NXF9fX0AvvnmG+bMmcPs2bOVuseDBg1S+uRn7oJ4PbmVH15eXly7do1ffvmFvXv34u/vj4+PT7Y1djMNGzaMPXv2EBYWhqOjI/r6+rRt27ZAx7RkyRKeP3+ebbvMerply5bFwsKC2rVrM3bsWGxtbfM999t4PY7M1dKZ8eb3Or4ttVrNDz/8QJcuXdDR0dHY5+fnh729PYsXL6ZYsWJkZGRQvnz5fzx3dtfn9VWn3bp14/79+8yZMwd7e3t0dXWpXr26Mu/EiRPzLAfxPmV3PO/i5+qfjtGrVy98fX3Zvn07u3fvJjQ0lPDwcAYMGICWllaWlb6vl/XIr7yuVU5SUlKYMGECbdq0ybIvp1X5urq66OrqFjhGIYQQQgghhBDifZKE8CcsJSWF+Ph4unTpArxapZuRkUF4eLiyGvD11cM5SUxM5Pbt28oq26NHj6KlpYWLi0u+4rh06RL3799n2rRp2NnZAa9KRrzu9bqvmaKjo2nZsiVffPEF8CrBePnyZcqVK5eveQFcXV25ceMGSUlJysrVo0eP5tnPxMSEYsWKER0drVGHNzo6mipVqmi0a9++Pe3bt6dt27Y0btyYBw8eYGFhQeHChbOs0oyOjiYgIIDWrVsDr65RQkJCvo8H0FitnZvMxNuLFy/+0dxHjx6la9euGu89PT3zHe+7uI65OXjwIFevXlVKVmS6f/8+cXFxLF68mNq1awNw+PDhfI159OhRSpYsCbx68Nnly5dxdXXNd0zR0dF89913NG3aFIAbN24oZVkAihYtStGiRTX6uLq6smLFCv7++28loZjXverq6kp0dHSWuZ2dnTVW5r5rrq6uREZG8vTpU+WDlOjo6AL9XnB1deXly5ccO3ZMo2REXFycxr1hZ2dHYGAggYGBjB49msWLFzNgwACsrKx48uSJRgyZpSEKIq9rBWT7s+zl5UVcXByOjo4FnlMIIYQQQgghhPiYSUL4EzJs2DBlReTt27cZP348hQoVomPHjgA4OjqSlpbGvHnz8PPzIzo6moULF+Y5rp6eHt26dSMsLIzk5GSCg4Px9/fHxsYmX3GVLFkSHR0d5s2bR2BgIOfPn2fSpEl59nNycmLdunX89ttvmJubM3PmTO7evVugRKKPjw/Ozs5069aNb775huTkZMaMGZOvvsOHD2f8+PGUKVOGihUrEhERQUxMDCtXrgRg5syZ2Nra4unpiZaWFmvXrsXGxgYzMzPgVe3Wffv2UbNmTXR1dTE3N8fJyYkNGzbg5+eHSqVi7Nixb7Wa+U07duzg7t27VK5cGSMjIy5cuMDw4cOpWbOmUibhbedeu3Yt3t7e1KpVi5UrV3L8+HGWLl2a79je9jpevHiR1NRUHjx4wJMnT5RkX8WKFTXaLV26lKpVq1K+fHmN7ebm5lhaWvL9999ja2tLYmIio0aNylfMEydOxNLSEmtra8aMGUORIkXyrAX9OicnJ1asWIG3tzfJyckMHz5cWfmek06dOjFmzBh69+7N6NGjSUhIyLPG8tChQ6lcuTKTJk2iffv2HDlyhPnz5/Pdd9/lO9a30blzZ8aPH0+3bt0ICQnhzz//ZMCAAXTp0gVra+t8jeHk5ETLli3p3bs3ixYtwtjYmFGjRlG8eHFatmwJwKBBg2jSpAnOzs48fPiQAwcOKIn5qlWrYmBgwFdffUVwcDDHjh0r8MP0MuPI61pl97M8btw4mjdvTsmSJWnbti1aWlqcPXuW8+fPM3ny5ALHIYQQHwupKyuEEEIIIaSG8Cfk5s2bdOzYERcXF/z9/bG0tOTo0aNYWVkBUKFCBWbOnMn06dMpX748K1euJDQ0NM9xHR0dadOmDU2bNuWzzz7Dw8OjQAknKysrIiMjWbt2LeXKlWPatGn5epjY119/jZeXF76+vtSrVw8bG5sCJeUAtLS02LhxI8+fP6dKlSr06tWLKVOm5KtvcHAwQ4YMYejQobi7u7Nz5062bNmCk5MTAMbGxsyYMQNvb28qV65MQkICO3bsUFZfh4eHs2fPHuzs7JQVtTNnzsTc3JwaNWrg5+eHr68vXl5eBTqm7Ojr67N48WJq1aqFq6srgwcPpkWLFmzbtk1p87ZzT5gwgdWrV+Ph4cHy5cv56aefCpSUz891jIyMzPJgvqZNm+Lp6cnWrVuJiorC09Mzy8rkx48fs379+iyrgwHl4WWnTp2ifPnyDB48mG+++SZfMU+bNo2BAwdSqVIl7ty5w9atW7OUo8jN0qVLefjwIV5eXnTp0oXg4OAsK4LfZGRkxNatWzl37hyenp6MGTOG6dOn59rHy8uLNWvWsHr1asqXL8+4ceOYOHEiAQEB+Y71bRgYGLBr1y4ePHhA5cqVadu2LQ0bNmT+/PkFGiciIoJKlSrRvHlzqlevjlqtZseOHUqpifT0dPr374+rqyuNGzfG2dlZ+d1jYWHBjz/+yI4dO3B3d+enn34iJCSkwMeSn2uV3c+yr68v27ZtY/fu3VSuXJlq1aoxa9asbL/tIIQQQgghhBBCfEpU6twexy7+54WEhLBp06a3+iq2+PSpVCo2btxY4ER8QY0fP56DBw8SFRX1r86Tl6ioKOrXr8/Dhw+Vld5C/Fvy+3RXIYQQQgghhBDiXcjv36FSMkII8a/75ZdfCry6VAghhBBCCCGEEEK8e5IQFkL8644fP/6hQxBCCCGEEEIIIYQQSA3h/7yQkBApF/Efplar//VyER+TevXqoVar32m5iJCQkCwPwiuohIQEVCrVe/lZVKlUbNq06V+f559KTU3F0dGR33777UOHQmpqKg4ODpw8efJDhyKEEEIIIYQQQvxjkhAWQnzyfv31V/z8/ChWrNgnk/B8nZ2dHUlJSZQvXx54VetYpVLx6NGjDxbTnTt3GDhwII6Ojujp6WFtbU3NmjVZsGABz549U9o5ODigUqlQqVQYGhri5eXF2rVrNcZ6/vw5FhYWFClShBcvXuRr/oULF1KqVClq1KihbJsyZQo1atTAwMAg16R+ZGQkHh4e6OnpUbRoUfr375/nfN9++y0ODg7o6elRtWpVjVXtOjo6DBs2jJEjR+YrdiGEEEIIIYQQ4mMmJSOEEJ+8p0+fUqFCBXr06EGbNm0+dDgFVqhQIWxsbD50GIo//viDmjVrYmZmxtSpU3F3d0dXV5dz587x/fffU7x4cVq0aKG0nzhxIr179yY5OZnw8HDat29P8eLFlWTu+vXrcXNzQ61Ws2nTJtq3b5/r/Gq1mvnz5zNx4kSN7ampqbRr147q1auzdOnSbPvOnDmT8PBwvvnmG6pWrcrTp09JSEjIdb6ff/6ZIUOGsHDhQqpWrcrs2bPx9fUlLi6OokWLAtC5c2eGDh3KhQsXcHNzy+sUCiHER8th1PYPHcJ7lTCt2YcOQQghhBDioyMrhIUQn7wmTZowefJkWrduXaB+KpWKBQsW0KRJE/T19SldujTr1q3TaDNy5EicnZ0xMDCgdOnSjB07lrS0tBzHDAgIoFWrVkydOhVra2vMzMyYOHEiL1++ZPjw4VhYWFCiRAkiIiKUPq+XjEhISKB+/foAmJubo1KpCAgIAODFixcEBwdTtGhR9PT0qFWrFidOnABeJVEdHR0JCwvTiCcmJgaVSsXVq1fzfV769euHtrY2J0+exN/fH1dXV0qXLk3Lli3Zvn07fn5+Gu2NjY2xsbHB2dmZb7/9Fn19fbZu3arsX7p0KV988QVffPFFjonc1506dYr4+HiaNdP8I37ChAkMHjwYd3f3bPs9fPiQr7/+muXLl9OpUyfKlCmDh4eHRvI6OzNnzqR37950796dcuXKsXDhQgwMDPjhhx+UNubm5tSsWZPVq1fnGb8QQgghhBBCCPExk4SwEOI/bezYsXz++eecPXuWzp0706FDB2JjY5X9xsbGREZGcvHiRebMmcPixYuZNWtWrmPu37+f27dv8+uvvzJz5kzGjx9P8+bNMTc359ixYwQGBvLll19y8+bNLH3t7OxYv349AHFxcSQlJTFnzhwARowYwfr161m2bBmnT5/G0dERX19fHjx4gEqlokePHhqJZoCIiAjq1KmDo6Njvs7H/fv32b17N/3798fQ0DDbNiqVKsf+2traFC5cmNTUVADi4+M5cuQI/v7++Pv7c+jQIa5fv55rDIcOHcLZ2RljY+N8xZxpz549ZGRkcOvWLVxdXSlRogT+/v7cuHEjS/yRkZHAq1XHp06dwsfHR9mvpaWFj48PR44c0ehXpUoVDh06lOP8L168IDk5WeMlhBBCCCGEEEJ8bCQhLIT4T2vXrh29evXC2dmZSZMm4e3tzbx585T9X3/9NTVq1MDBwQE/Pz+GDRvGmjVrch3TwsKCuXPn4uLiQo8ePXBxceHZs2d89dVXODk5MXr0aHR0dDh8+HCWvoUKFcLCwgKAokWLYmNjg6mpKU+fPmXBggV88803NGnShHLlyrF48WL09fWVVbcBAQHExcUp9W/T0tJYtWoVPXr0yPf5uHr1Kmq1GhcXF43tRYoUwcjICCMjoxxr6aamphIaGsrjx49p0KABAD/88ANNmjTB3NwcCwsLfH19sySt33T9+nWKFSuW75gz/fHHH2RkZDB16lRmz57NunXrePDgAY0aNVIS1AAuLi6YmpoC8Ndff5Geno61tbXGWNbW1ty5c0djW7FixXJNZoeGhmJqaqq87OzsCnwMQgghhBBCCCHEv00SwkKI/3lTp05VkplGRkYkJiYq+6pXr67Rtnr16horhH/++Wdq1qyJjY0NRkZGfP311xr9s+Pm5oaW1v//erW2ttYoc1CoUCEsLS25d+9evo8hPj6etLQ0atasqWwrXLgwVapUUeItVqwYzZo1U0odbN26lRcvXtCuXbtsx2zSpIlyTvKqi3v8+HFiYmJwc3PL8mC4kSNHYmRkhIGBAdOnT2fatGk0a9aM9PR0li1bxhdffKG0/eKLL4iMjCQjIyPHuZ4/f46enl7uJyQbGRkZpKWlMXfuXHx9falWrRo//fQTV65c4cCBA0q7S5cuFbi8CIC+vr7GA/XeNHr0aB4/fqy83lyZLIQQQgghhBBCfAzkoXJCiP95gYGB+Pv7K+/zu/r0yJEjdO7cmQkTJuDr64upqSmrV68mPDw8136FCxfWeK9SqbLdlltS9G316tWLLl26MGvWLCIiImjfvj0GBgbZtl2yZAnPnz/XiNnR0RGVSkVcXJxG29KlSwOvkqJvGj58OAEBARgZGWFtba2UlNi1axe3bt3K8hC59PR09u3bR6NGjbKNq0iRIpw7d64AR/2Kra0tAOXKlVO2WVlZUaRIkRyT+EWKFKFQoULcvXtXY/vdu3ezPOjvwYMHWFlZ5Ti/rq4uurq6BY5bCCGEEEIIIYR4n2SFsBDif56FhQWOjo7KS1v7/z8LO3r0qEbbo0eP4urqCsBvv/2Gvb09Y8aMwdvbGycnpzzr374LOjo6wKvEaaYyZcqgo6NDdHS0si0tLY0TJ05oJECbNm2KoaEhCxYsYOfOnbmWiyhevLhyTuzt7QGwtLSkUaNGzJ8/n6dPn+Yr3iJFiuDo6IiNjY1GfeGlS5fSoUMHYmJiNF4dOnTI9eFynp6eXLp0CbVana/5M2Wunn49mf3gwQP++usv5fjepKOjQ6VKldi3b5+yLSMjg3379mVZPX7+/Hk8PT0LFJMQQgghhBBCCPGxkRXCQohPXkpKClevXlXeX7t2jZiYGCwsLChZsmSufdeuXYu3tze1atVi5cqVHD9+XElWOjk5kZiYyOrVq6lcuTLbt29n48aN/+qxANjb26NSqdi2bRtNmzZFX18fIyMj+vbty/Dhw5XjmjFjBs+ePaNnz55K30KFChEQEMDo0aNxcnLKktTMj++++46aNWvi7e1NSEgIHh4eaGlpceLECS5dukSlSpXyHOPPP/9k69atbNmyhfLly2vs69q1K61bt+bBgwdKveTX1a9fn5SUFC5cuKDRNzExkQcPHpCYmEh6ejoxMTHAq1XNRkZGODs707JlSwYOHMj333+PiYkJo0ePpmzZstSvX18Zp2zZsoSGhiplI4YMGUK3bt3w9vamSpUqzJ49m6dPn9K9e3eNuA4dOsSkSZPyfR6FEOJjlDCt2YcOQQghhBBCfGCyQlgI8ck7efIknp6eyurNIUOG4Onpybhx4/LsO2HCBFavXo2HhwfLly/np59+UlbctmjRgsGDBxMUFETFihX57bffGDt27L96LPBq5e6ECRMYNWoU1tbWBAUFATBt2jQ+//xzunTpgpeXF1evXmXXrl2Ym5tr9O/ZsyepqalZEpr5VaZMGc6cOYOPjw+jR4+mQoUKysP2hg0blq+k6PLlyzE0NKRhw4ZZ9jVs2BB9fX1+/PHHbPtaWlrSunVrVq5cqbF93LhxeHp6Mn78eFJSUpRrfvLkSY15q1atSrNmzahbty6FCxdm586dGiU74uLiePz4sfK+ffv2hIWFMW7cOCpWrEhMTAw7d+7UeNDckSNHePz4MW3bts3z2IUQQgghhBBCiI+ZSl3Q7+QKIcT/CJVKxcaNG2nVqtWHDuWdOnToEA0bNuTGjRsaSc1Pye+//06jRo2Ij4/HyMjoQ4dD+/btqVChAl999VW++yQnJ2Nqasrjx48xMTH5F6MTQgghhBBCCCHy/3eorBAWQoj/ES9evODmzZuEhITQrl27TzYZDODh4cH06dO5du3ahw6F1NRU3N3dGTx48IcORQghhBBCCCGE+MckISyEEP8jfvrpJ+zt7Xn06BEzZsz40OH8YwEBAbi7u3/oMNDR0eHrr79GX1//Q4cihBBCCCGEEEL8Y5IQFu9UVFQUKpWKR48e/aNxHBwcmD179juJKTf16tVj0KBB//o8byMyMhIzM7Nc2wQEBORZ7uBjPcZ3cY3/6f2mVqvfW7kIlUrFpk2bcm1z//59ihYtSkJCwlvNERAQQHp6OqdOnaJ48eJvNcbHatSoUQwYMCDPdg4ODqhUqgLfF5GRkUq/j/HnRQghhBBCCCGEeFckISw+SidOnKBPnz7K+/wk0/6L5syZQ2Rk5IcOQ7wjU6ZMoWXLljg4OCjbgoODqVSpErq6ulSsWDHbfmq1mrCwMJydndHV1aV48eJMmTIl17nUajXjxo3D1tYWfX19fHx8uHLlSpZ2z58/x9DQkKtXr7JhwwYaNWqElZUVJiYmVK9enV27dmXp8+233+Lg4ICenh5Vq1bl+PHj+T4HV69exdjYOMuHIcOGDWPZsmX88ccfeY4xceJEkpKSMDU1BeDvv/9WVhtra2tn+yFA+/btSUpKonr16ln2JSQkEBAQkO9jEEIIIYQQQgghPmbaHzoAIbJjZWX1oUN4a+np6ahUKrS0/v3PWzITXuLDSUtLo3Dhwv94nGfPnrF06dJsE6w9evTg2LFj/P7779n2HThwILt37yYsLAx3d3cePHjAgwcPcp1vxowZzJ07l2XLllGqVCnGjh2Lr68vFy9eRE9PT2m3Z88e7O3tcXR0ZP78+TRq1IipU6diZmZGREQEfn5+HDt2DE9PTwB+/vlnhgwZwsKFC6latSqzZ8/G19eXuLg4ihYtmmtMaWlpdOzYkdq1a/Pbb79p7CtSpAi+vr4sWLCAb775JtdxjI2NsbGxUd6np6ejr69PcHAw69evz7aPvr4++vr66OjoKNtWrlxJtWrVKFSoEPAqif7dd9/RqVMnzM3Nc41BiA/FYdT2Dx2C+MglTGv2oUMQQgghhBAfmKwQFop69eoRFBREUFAQpqamFClShLFjx6JWq5U2K1aswNvbW0m4dOrUiXv37uU4ZmbZg23btuHi4oKBgQFt27bl2bNnLFu2DAcHB8zNzQkODiY9PV3p93o5gczVkq1bt0alUmmsnlywYAFlypRBR0cHFxcXVqxYoezr0aMHzZs314gnLS2NokWLsnTp0nyfl5kzZ+Lu7o6hoSF2dnb069ePlJSULMe4ZcsWypUrh66uLomJiZw4cYJGjRpRpEgRTE1NqVu3LqdPn9YY+9GjR3z55ZdYW1ujp6dH+fLl2bZtm0abXbt24erqipGREY0bNyYpKUnZ92bJiKdPn9K1a1eMjIywtbUlPDw8y/E8fPiQrl27Ym5ujoGBAU2aNNFYGZp5PLnNm5GRwcSJEylRooSycnXnzp3K/gYNGhAUFKQx759//omOjg779u3L55mH3377jYoVK6Knp4e3tzebNm1CpVIRExOTpe3Tp08xMTFh3bp1Gts3bdqEoaEhT548AeDmzZt07NgRCwsLDA0N8fb25tixY0r7zZs34+XlhZ6eHqVLl2bChAm8fPlS2a9SqViwYAEtWrTA0NBQWYmb272YHzt27EBXV5dq1appbJ87dy79+/endOnS2faLjY1lwYIFbN68mRYtWlCqVCkqVapEo0aNcpxLrVYze/Zsvv76a1q2bImHhwfLly/n9u3bWVbiZ44LMHv2bEaMGEHlypVxcnJi6tSpODk5sXXrVqX9zJkz6d27N927d6dcuXIsXLgQAwMDfvjhhzzPwddff03ZsmXx9/fPdr+fnx+rV6/Oc5w3GRoasmDBAnr37q2RKM5LqVKl6NatGwsXLuTmzZs0btyYW7duoaurW+AYhBBCCCGEEEKIj4UkhIWGZcuWoa2tzfHjx5kzZw4zZ85kyZIlyv60tDQmTZrE2bNn2bRpU76+Sv3s2TPmzp3L6tWr2blzJ1FRUbRu3ZodO3awY8cOVqxYwaJFi7Ik8jKdOHECgIiICJKSkpT3GzduZODAgQwdOpTz58/z5Zdf0r17dw4cOABAr1692Llzp0Yic9u2bTx79oz27dvn+5xoaWkxd+5cLly4wLJly9i/fz8jRozIcozTp09nyZIlXLhwgaJFi/LkyRO6devG4cOHOXr0KE5OTjRt2lRJTGZkZNCkSROio6P58ccfuXjxItOmTVNWI2aOGxYWxooVK/j1119JTExk2LBhOcY6fPhwDh48yObNm9m9ezdRUVFZktABAQGcPHmSLVu2cOTIEdRqNU2bNiUtLS3f886ZM4fw8HDCwsL4/fff8fX1pUWLFkpiuVevXqxatYoXL14ofX788UeKFy9OgwYN8nXek5OT8fPzw93dndOnTzNp0iRGjhyZY3tDQ0M6dOhARESExvaIiAjatm2LsbExKSkp1K1bl1u3brFlyxbOnj3LiBEjyMjIAODQoUN07dqVgQMHcvHiRRYtWkRkZGSW8gshISG0bt2ac+fO0aNHjzzvxfw4dOgQlSpVynf7TFu3bqV06dJs27aNUqVK4eDgQK9evTRWCCckJKBSqYiKigLg2rVr3LlzBx8fH6WNqakpVatW5ciRI8q2jIwMtm3bRsuWLbOdOyMjgydPnmBhYQFAamoqp06d0hhXS0sLHx8fjXEDAgKoV6+exlj79+9n7dq1fPvttzkea5UqVbh58+Zb11guqBo1anDgwAGOHDlCVFQUgwYNYurUqRgYGGTb/sWLFyQnJ2u8hBBCCCGEEEKIj42UjBAa7OzsmDVrFiqVChcXF86dO8esWbPo3bs38GrVbabSpUszd+5cKleuTEpKCkZGRtmOmZaWpqyeBGjbti0rVqzg7t27GBkZUa5cOerXr8+BAweyTdRmlo8wMzPTWN0XFhZGQEAA/fr1A2DIkCEcPXqUsLAw6tevT40aNZSVmpkJ3IiICNq1a5djrNl5/QFTDg4OTJ48mcDAQL777juNY/zuu++oUKGCsu3NxOf333+PmZkZBw8epHnz5uzdu5fjx48TGxuLs7Ozck7fPHcLFy5Uzl1QUBATJ07MNs6UlBSWLl3Kjz/+SMOGDYFXCf4SJUooba5cucKWLVuIjo6mRo0awKuvxdvZ2bFp0ybatWuXr3nDwsIYOXIkHTp0AGD69OkcOHCA2bNn8+2339KmTRuCgoLYvHmzstozMjKSgIAAVCpVruc706pVq1CpVCxevBg9PT3KlSvHrVu3lHsxO7169aJGjRokJSVha2vLvXv32LFjB3v37lXG/PPPPzlx4oSSxHR0dFT6T5gwgVGjRtGtWzfg1fWYNGkSI0aMYPz48Uq7Tp060b17d+V9x44dc70X8+P69esUK1YsX21f98cff3D9+nXWrl3L8uXLSU9PZ/DgwbRt25b9+/cDULhwYWWFPsCdO3cAsLa21hjL2tpa2Qdw9OhRAKpWrZrt3GFhYaSkpCjX+K+//iI9PT3bcS9duqS8t7W1VZLw8OphegEBAfz444+YmJjkeKyZ5+f69esa3xT4txw7dozhw4dTo0YNChcuzOzZszly5AhfffWVRlmNTKGhoUyYMOFfj0sIIYQQQgghhPgnZIWw0FCtWjWNhF316tW5cuWKUs7h1KlT+Pn5UbJkSYyNjalbty4AiYmJOY5pYGCgJBbhVXLIwcFBIylrbW2da+mJ7MTGxlKzZk2NbTVr1iQ2NlZ536tXL2XF6N27d/nll180ktqvmzp1KkZGRsor85j27t1Lw4YNKV68OMbGxnTp0oX79+/z7Nkzpa+Ojg4eHh4a4929e5fevXvj5OSEqakpJiYmpKSkKOPGxMRQokQJJRmcnTfPXWaSMzvx8fGkpqZqJO8sLCxwcXHROGfa2toabSwtLXFxcdE4b7nNm5yczO3bt3M993p6enTp0kUpE3D69GnOnz+f42rywMBAjXMPEBcXh4eHh0birUqVKtn2f32/m5sby5YtA16tSra3t6dOnTrAq3Pu6empJIPfdPbsWSZOnKgRS+/evUlKStK43t7e3hr98nMv5uX58+fZJhnzkpGRwYsXL1i+fDm1a9emXr16LF26lAMHDhAXFwdA8eLFuXTpUp7n702bN2+mefPm2dbDXrVqFRMmTGDNmjV51gZ+U2hoKMuXL1fe9+7dm06dOinXKSf6+voAGtfi33TlyhUiIiIIDAykRIkS7Ny5E2tr6xznHz16NI8fP1ZeN27ceC9xCiGEEEIIIYQQBSEJYZFvT58+xdfXFxMTE1auXMmJEyfYuHEj8Oqr4jl584FbKpUq222vrxh8V7p27coff/zBkSNH+PHHHylVqhS1a9fOtm1gYCAxMTHKq1ixYiQkJNC8eXM8PDxYv349p06dUr7S/vox6+vrZ1n52q1bN2JiYpgzZw6//fYbMTExWFpaKv0yk1u5ye48vV7T+d/yLubt1asXe/bs4ebNm0RERNCgQQPs7e2zbTtx4kSNc/9P9OrVi8jISODVivDu3bsr1yavc56SksKECRM0Yjl37hxXrlzRSNYaGhr+oxizU6RIER4+fFjgfra2tmhra2t8sODq6grk/EFN5kr7u3fvamy/e/euxir8LVu2KPWDX7d69Wp69erFmjVrNMpDFClShEKFCuU57pv2799PWFgY2traaGtr07NnTx4/foy2trZG7eHMMhjv66GTX3zxhcYHIyqViv79++f4gYKuri4mJiYaLyGEEEIIIYQQ4mMjCWGh4fWHawFK7dtChQpx6dIl7t+/z7Rp06hduzZly5Yt8Kret1W4cGGNh87Bq6RXdHS0xrbo6GjKlSunvLe0tKRVq1ZEREQQGRmp8TX/N1lYWODo6Ki8tLW1OXXqFBkZGYSHh1OtWjWcnZ25fft2vmKOjo4mODiYpk2b4ubmhq6uLn/99Zey38PDg5s3b3L58uV8jZeXMmXKULhwYY1r+PDhQ43xXV1defnypUab+/fvExcXp3HecmNiYkKxYsXyPPfu7u54e3uzePFiVq1alePKbICiRYtqnHtAKVnyeh3izPrRufniiy+4fv06c+fO5eLFi0r5B3h1zmNiYjTq677Oy8uLuLg4jVgyX9mtks2Un3sxL56enly8eDHf7TPVrFmTly9fEh8fr2zLvOY5JeBLlSqFjY2NxgP+kpOTOXbsGNWrVwderY69fv16lofT/fTTT3Tv3p2ffvqJZs00n1Svo6NDpUqVNMbNyMhg3759yrjZOXLkiEYSfuLEiRgbGxMTE0Pr1q2VdufPn6dw4cK4ubnldVreKQcHB+VDBiGEEEIIIYQQ4lMnNYSFhsTERIYMGcKXX37J6dOnmTdvHuHh4QCULFkSHR0d5s2bR2BgIOfPn2fSpEnvJS4HBwf27dtHzZo10dXVxdzcnOHDh+Pv74+npyc+Pj5s3bqVDRs2KPViM/Xq1YvmzZuTnp6ukRzMD0dHR9LS0pg3bx5+fn5ER0ezcOHCfPV1cnJixYoVeHt7k5yczPDhwzVWqNatW5c6derw+eefM3PmTBwdHbl06RIqlYrGjRsXKE4AIyMjevbsyfDhw7G0tKRo0aKMGTNGI5Hp5OREy5Yt6d27N4sWLcLY2JhRo0ZRvHjxHB8clp3hw4czfvx4ypQpQ8WKFYmIiCAmJoaVK1dqtOvVqxdBQUEYGhpqJPbyo1OnTowZM4Y+ffowatQoEhMTCQsLA8i1DrG5uTlt2rRh+PDhfPbZZxo1lDt27MjUqVNp1aoVoaGh2NracubMGYoVK0b16tUZN24czZs3p2TJkrRt2xYtLS3Onj3L+fPnmTx5cq7nIz/3Ym58fX0ZPXo0Dx8+xNzcXNl+9epVUlJSuHPnDs+fP1dWUJcrVw4dHR18fHzw8vKiR48ezJ49m4yMDPr370+jRo2UVcO3bt2iYcOGLF++nCpVqqBSqRg0aBCTJ0/GycmJUqVKMXbsWIoVK0arVq2AV+UifHx8NB6gtmrVKrp168acOXOoWrWqUm9YX18fU1NT4FX95G7duuHt7U2VKlWYPXs2T58+1fgwZvTo0dy6dUspG5G5ojnTyZMn0dLSonz58hrbDx06RO3atfO1uv5NFy9eJDU1lQcPHvDkyRPlPFasWLHAYwnxMUuY1izvRkIIIYQQQoj/NFkhLDR07dqV58+fU6VKFfr378/AgQPp06cP8Opr2pGRkaxdu5Zy5coxbdo0JUH3bwsPD2fPnj3Y2dnh6ekJQKtWrZgzZw5hYWG4ubmxaNEiIiIiqFevnkZfHx8fbG1t8fX1LfBDuypUqMDMmTOZPn065cuXZ+XKlYSGhuar79KlS3n48CFeXl506dKF4ODgLLVW169fT+XKlenYsSPlypVjxIgRWVZCF8Q333xD7dq18fPzw8fHh1q1alGpUiWNNhEREVSqVInmzZtTvXp11Go1O3bsyFImIjfBwcEMGTKEoUOH4u7uzs6dO9myZQtOTk4a7Tp27Ii2tjYdO3YscH1cExMTtm7dSkxMDBUrVmTMmDGMGzcOIM+xevbsSWpqapZVyTo6OuzevZuiRYvStGlT3N3dmTZtGoUKFQJeJWW3bdvG7t27qVy5MtWqVWPWrFk5rrTNlN97MTfu7u54eXmxZs0aje29evXC09OTRYsWcfnyZTw9PfH09FRWqmtpabF161aKFClCnTp1aNasGa6urqxevVoZIy0tjbi4OI3atyNGjGDAgAH06dNHeTDkzp07lXO7efPmLOUivv/+e16+fEn//v2xtbVVXgMHDlTatG/fnrCwMMaNG0fFihWJiYlRau9mSkpKyrXueE5Wr16d60MFc9O0aVM8PT3ZunUrUVFRynkUQgghhBBCCCH+a1Tq91GQVHwS6tWrR8WKFZk9e/aHDuWdSklJoXjx4kRERNCmTZsPHc5/SkJCAmXKlOHEiRN4eXn94/FWrvw/9u49Luf7f/z44yo6n0SUlJxKQkWyNMdMTk2YnEYh5pBzTjPkbORsDmOrGHNYmGE22jJizjm2RpNMGR+HEpPU9fvDr/fXpYMrQ2zP++123W6u9/t1eL7e7yu3W89e1/O9nj59+pCenl7kLtF169YxcuRIUlNT0dPT+8fzvi67du1izJgxnDt3rsgSFa/a//73P2xsbPjzzz81Erkl6fvvv2f06NGcOXOGUqUK/3KLg4MDI0aMYMSIES80z8v8fzAjIwNzc3PS09OlnrAQQgghhBBCiFdO299DZYew+NfKzc3lxo0bTJ8+HQsLiwIfjiVejezsbK5fv84nn3zCO++888LJ4LVr13Lw4EEuX77M9u3bGTduHAEBAYUmgx88eEBSUhJz5szho48+equSwQDt2rVjwIABXLt2rUTjuH37NgsWLHhjksHw5KGWERERRSaD84wbNw4TExPS09O1Hn/9+vWYmJhw4MCBfxKmEEIIIYQQQgjxxpMawuJfKyUlhSpVqlCpUiUiIyO1SiSJlyMuLo7mzZvj6OjIN99888LjXL9+ncmTJ3P9+nVsbGzo0qULM2fOLLT93LlzmTlzJk2aNGHChAkvPG9JetGdrS+To6OjUn/4TfHBBx9o1W7//v1kZ2cDYGpqqvX477//Pg0bNgTAwsKi2PEJIYQQQgghhBBvCykZIYQQLygsLIzt27crDygrKcnJyVSpUoVTp04V+ZC011kWZtKkSfz11198/vnnr3yul+HRo0fKHzA8PDxeyphSMkIIIYQQQgghxOskJSOEEOI/ws7OjrS0NGrXrg1AbGwsKpWKu3fvarTbunUr06dPf+XxXL9+ncWLFzNx4sR8x4cOHUrVqlXR19fHzs4OPz8/YmJigCelKoYOHYqTkxOGhobY29szbNiwQks/3Lp1i0qVKhW41mdt3bqVVq1aUbZsWVQqVb4kvp6eHqGhoYwbN67A/sV5QKAQQgghhBBCCPEmk+/QCyHeGI8ePXrr6v6+Sjk5OahUquc+YE5XVxdra+vnjmdpafmyQivSmjVraNSoEZUrV1aOJScn4+3tjYWFBfPmzaNOnTpkZ2fzww8/MGTIEH777TdSU1NJTU0lPDycWrVqceXKFQYOHEhqamqBpUf69etH3bp1taq5fP/+fd59910CAgLo379/gW169uzJ6NGjOX/+PC4uLvz++++cPHmSbt26KW1OnjxJamoq7du3f4ErI4QQJc9h/K6SDkG8wZLntCvpEIQQQgjxGsgOYSHEC2nWrBnDhg1j7NixWFpaYm1tTVhYmEabu3fvEhwcjJWVFWZmZrRo0YLTp08r58PCwnBzc2PNmjVUqVIFAwMDPv/8cypWrEhubq7GWB06dKBv377K+xUrVlCtWjX09PRwcnJi3bp1Gu1VKhVr1qyhY8eOGBkZUaNGDXbs2KHRZv/+/Xh6eqKvr4+NjQ3jx4/n8ePHwJMH2pUtW5asrCyNPv7+/vTq1avQ6/Lll1/i4uKijBkSEqKcW7BgAXXq1MHY2Bg7OzsGDx5MZmamcj4yMhILCwt27NhBrVq10NfXJyUlBQcHB2bNmkXfvn0xNTXF3t5eoxRDcnKysus1OTmZ5s2bA1CmTBlUKhVBQUHKPXu6RvHzxgW4evUqAQEBWFhYYGlpSYcOHUhOTi50/QAbN27Ez89P49jgwYNRqVQcPXqUzp074+joiIuLC6NGjeLXX38FoHbt2kRHR+Pn50e1atVo0aIFM2fO5LvvvlPuS54VK1Zw9+5dQkNDi4wlT69evZg8eTItW7YstE2ZMmXw9vZm48aNAJQrV46ff/6ZgIAA7t69y+TJk5kwYQJVq1bVak4hhBBCCCGEEOJNJAlhIcQLi4qKwtjYmCNHjjB37lymTZvG3r17lfNdunThxo0bfP/995w4cYJ69erh4+PD7du3lTaXLl0iOjqarVu3Eh8fT5cuXbh16xY///yz0ub27dvs2bOHnj17ArBt2zaGDx/O6NGjOXfuHB999BF9+vTR6AMwdepUAgICOHPmDG3btqVnz57K3NeuXaNt27Y0aNCA06dPs2LFCr744gtmzJihxJ6Tk6ORRL5x4wa7du3SSEw/bcWKFQwZMoQBAwZw9uxZduzYQfXq1ZXzOjo6LFmyhPPnzxMVFcVPP/3E2LFjNcZ48OABn376KWvWrOH8+fOUL18egPnz5+Ph4cGpU6cYPHgwgwYNIjExMV8MdnZ2REdHA5CYmEhaWhqLFy8u7BYWOW52dja+vr6Ymppy4MAB4uLiMDExoXXr1jx69KjA8W7fvs2FCxc06vDm3b8hQ4ZgbGycr09RD3HLq3v09EMhL1y4wLRp01i7dm2Bu6fzEuSxsbGFjlsYT09PDhw4ADzZUb1q1SpatmzJ6dOnSUpK4ocffqBWrVoF9s3KyiIjI0PjJYQQQgghhBBCvGkkISyEeGF169ZlypQp1KhRg969e+Ph4aHUgz148CBHjx5ly5YteHh4UKNGDcLDw7GwsND4+v+jR49Yu3Yt7u7u1K1blzJlytCmTRs2bNigtPnmm28oV66csvM1PDycoKAgBg8ejKOjI6NGjaJTp06Eh4drxBcUFET37t2pXr06s2bNIjMzk6NHjwKwfPly7OzsWLZsGTVr1sTf35+pU6cyf/58cnNzMTQ0pEePHkRERCjjffXVV9jb2xdaT3bGjBmMHj2a4cOH4+joSIMGDTR25I4YMYLmzZvj4OBAixYtmDFjBps3b9YYIzs7m+XLl9OoUSOcnJwwMjICoG3btgwePJjq1aszbtw4Zffqs3R1dZXSEOXLl8fa2hpzc/NC72FR427atInc3FzWrFlDnTp1cHZ2JiIigpSUlEKTrSkpKajVaipWrKgcu3TpEmq1mpo1axYaR0H+97//MX36dAYMGKAcy8rKonv37sybNw97e/sC+5UuXVrj2hVHxYoVuXLlCgB37txh8ODB7Nu3D1dXV6pVq0abNm0KTMQDzJ49G3Nzc+VlZ2dX7PmFEEIIIYQQQohXTRLCQogXVrduXY33NjY23LhxA4DTp0+TmZlJ2bJlMTExUV6XL18mKSlJ6VO5cmWsrKw0xunZsyfR0dFKuYb169fTrVs3ZTdoQkIC3t7eGn28vb1JSEgoND5jY2PMzMyU+BISEvDy8kKlUmmMkZmZyZ9//glA//79+fHHH5UatZGRkQQFBWn0yXPjxg1SU1Px8fEp9Hrt27cPHx8fbG1tMTU1pVevXty6dYsHDx4obfT09PJd12fXolKpsLa2VtbyTxQ17unTp7l06RKmpqbK/bO0tOThw4ca9/Bpf//9NwAGBgbKMbVaXey4MjIyaNeuHbVq1dIoRTJhwgScnZ358MMPC+1ra2vLb7/9hqenZ7HnNTQ0VO7HjRs3aNy4MZs3b8bCwoJp06Yxc+ZMfv/99wL7TpgwgfT0dOV19erVYs8vhBBCCCGEEEK8avJQOSHECytdurTGe5VKpdT+zczMxMbGpsCdpE+XCCiohICfnx9qtZpdu3bRoEEDDhw4wMKFC19qfNpwd3fH1dWVtWvX0qpVK86fP8+uXQU/jMfQ0LDIsZKTk2nfvj2DBg1i5syZWFpacvDgQfr168ejR4+U3ayGhoYFJpz/6VoK87x7WL9+fdavX5+v37NJ/DzlypUDnuyuzWtTo0YNVCoVv/32m1Yx3bt3j9atW2Nqasq2bds0Yvzpp584e/assss8L9lcrlw5Jk6cyNSpU7WaozC3b99W4nZycsLJyUnjfL169ahXr16BffX19dHX1/9H8wshhBBCCCGEEK+aJISFEK9EvXr1uH79OqVKlcLBwaFYfQ0MDOjUqRPr16/n0qVLODk5aSThnJ2diYuLIzAwUDkWFxdXaG3Xgjg7OxMdHY1arVYSsHFxcZiamlKpUiWlXXBwMIsWLeLatWu0bNmy0DIApqamODg4EBMTo5S2eNqJEyfIzc1l/vz5yk7nZ8tFvCx6enoA5OTk/KNx6tWrx6ZNmyhfvjxmZmZa9alWrRpmZmZcuHABR0dH4EktXl9fXz777DOGDRuW748Ad+/eVf5IkJGRga+vL/r6+uzYsUNjpzFAdHS0sgsZ4NixY/Tt25cDBw5QrVq1f7DaJ86dO4e7u3u+4y9Sj1gIIYQQQgghhHgTSUJYCPFKtGzZEi8vL/z9/Zk7dy6Ojo6kpqaya9cuOnbsqPHQsYL07NmT9u3bc/78+XzlAcaMGUNAQADu7u60bNmS7777jq1bt7Jv3z6t4xs8eDCLFi1i6NChhISEkJiYyJQpUxg1apTGg8p69OhBaGgoq1evZu3atUWOGRYWxsCBAylfvjxt2rTh3r17xMXFMXToUKpXr052djZLly7Fz8+PuLg4Vq5cqXW8xVG5cmVUKhU7d+6kbdu2GBoaYmJiUuxxevbsybx58+jQoQPTpk2jUqVKXLlyha1btzJ27FiNxHkeHR0dWrZsycGDB/H391eOf/bZZ3h7e+Pp6cm0adOoW7cujx8/Zu/evaxYsYKEhAQyMjJo1aoVDx484KuvvtJ4MJuVlRW6urr5kr7/+9//gCcJ/ryk8rVr1/Dx8WHt2rVK2Yjbt2+TkpJCamoqgFIH2NraGmtra2W8AwcOMH369GJfKyGEeFskz2lX0iEIIYQQQogSJjWEhRCvhEqlYvfu3TRp0oQ+ffrg6OhIt27duHLlChUqVHhu/xYtWmBpaUliYiI9evTQOOfv78/ixYsJDw/HxcWFVatWERERUejD3gpia2vL7t27OXr0KK6urgwcOJB+/frxySefaLQzNzenc+fOmJiYaCQ4CxIYGMiiRYtYvnw5Li4utG/fnosXLwLg6urKggUL+PTTT6lduzbr169n9uzZWsdbHLa2tkydOpXx48dToUIFQkJCXmgcIyMjfvnlF+zt7enUqRPOzs7069ePhw8fFrljODg4mI0bN2qUtKhatSonT56kefPmjB49mtq1a/Pee+8RExPDihUrADh58iRHjhzh7NmzVK9eHRsbG+VVnHq82dnZJCYmatRm3rFjB+7u7rRr9yQR0q1bN9zd3TWS8ocPHyY9PZ0PPvhA67mEEEIIIYQQQoi3jUr9Ik/7EUKI/xAfHx9cXFxYsmRJSYfyVlCr1TRs2JCRI0fSvXv3kg5Ha127dsXV1ZWPP/74pYyXkZGBubk56enpWpfcEEIIIYQQQgghXpS2v4fKDmEhhCjEnTt32LZtG7GxsQwZMqSkw3lrqFQqPv/8cx4/flzSoWjt0aNH1KlTh5EjR5Z0KEIIIYQQQgghxCslO4SFEKIQDg4O3Llzh0mTJhEaGlrS4Yi3jOwQFkIIIYQQQgjxOskOYSFes7CwMNzc3IrVp1mzZowYMeKNiKUkx31TJScnk56e/sYmg2NjY1GpVNy9e7ekQykRz/78PHjwgM6dO2NmZvafvi5CCCGEEEIIIURRSpV0AEK8ar/88gvz5s3jxIkTpKWlsW3btnwPB1OpVAX2nTt3LmPGjHkNUQrx9rp16xY9e/bkzJkz3Lp1i/Lly9OhQwdmzZr1WnfGRkVFceDAAQ4dOkS5cuUwNzd/bp/Y2FiaN2/OnTt3sLCwePVBCiFECXMYv6ukQ/hHkue0K+kQhBBCCCHeerJDWPzr3b9/H1dXVz777LNC26SlpWm8vvzyS1QqFZ07d36Nkb79Hj16VNIhFOpNju1tp6OjQ4cOHdixYwe///47kZGR7Nu3j4EDB77WOJKSknB2dqZ27dpYW1sX+oceIYQQQgghhBDiv0wSwuJfr02bNsyYMYOOHTsW2sba2lrj9e2339K8eXOqVq2qtBk3bhyOjo4YGRlRtWpVJk2aRHZ2dqFjBgUF4e/vz9SpU7GyssLMzIyBAwfmS0zm5uYyduxYLC0tsba2JiwsTOP8ggULqFOnDsbGxtjZ2TF48GAyMzO1Wvu6detwcHDA3Nycbt26ce/ePQDWrl1L2bJlycrK0mjv7+9Pr169lPdz5syhQoUKmJqa0q9fPx4+fFjgGmfOnEnFihVxcnIC4OzZs7Ro0QJDQ0PKli3LgAEDlJhjY2PR09PjwIEDyjhz586lfPny/PXXX1rFlle6YtWqVdjZ2WFkZERAQADp6enPje3q1asEBARgYWGBpaUlHTp0IDk5Wen3+PFjhg0bhoWFBWXLlmXcuHEEBgZq7Cpv1qwZw4YNK/K+3b17l+DgYOXet2jRgtOnTyvn89ZQ2D0CyMrKYtiwYZQvXx4DAwPeffddjh07VsCd/j/R0dG4uLigr6+Pg4MD8+fP1zjv4ODArFmz6Nu3L6amptjb2/P5559rtHneNXpWmTJlGDRoEB4eHlSuXBkfHx8GDx6scY8LEhsbi6enJ8bGxlhYWODt7c2VK1eA/7t/TxsxYgTNmjUrcKxmzZoxf/58fvnlF1QqldJu3bp1eHh4YGpqirW1NT169ODGjRvAk5IgzZs3V9agUqkICgoCnvxczp49mypVqmBoaIirqyvffPNNkesRQgghhBBCCCHeBpIQFuIZf/31F7t27aJfv34ax01NTYmMjOTChQssXryY1atXs3DhwiLHiomJISEhgdjYWL7++mu2bt3K1KlTNdpERUVhbGzMkSNHmDt3LtOmTWPv3r3KeR0dHZYsWcL58+eJiorip59+YuzYsc9dR1JSEtu3b2fnzp3s3LmT/fv3M2fOHAC6dOlCTk4OO3bsUNrfuHGDXbt20bdvXwA2b95MWFgYs2bN4vjx49jY2LB8+fIC15iYmMjevXvZuXMn9+/fx9fXlzJlynDs2DG2bNnCvn37CAkJAf6v7muvXr1IT0/n1KlTTJo0iTVr1lChQgWtYgO4dOkSmzdv5rvvvmPPnj2cOnWKwYMHFxlbdnY2vr6+mJqacuDAAeLi4jAxMaF169ZKov7TTz9l/fr1REREEBcXR0ZGBtu3b8+37ufdty5dunDjxg2+//57Tpw4Qb169fDx8eH27dta3SOAsWPHEh0dTVRUFCdPnqR69er4+vpqjPG0EydOEBAQQLdu3Th79ixhYWFMmjSJyMhIjXbz58/Hw8NDuWaDBg0iMTERQKtr9Dypqals3bqVpk2bFtrm8ePH+Pv707RpU86cOcPhw4cZMGDAC+/q3bp1K/3798fLy4u0tDS2bt2qrGf69OmcPn2a7du3k5ycrCR97ezsiI6OBiAxMZG0tDQWL14MwOzZs1m7di0rV67k/PnzjBw5kg8//JD9+/cXGkNWVhYZGRkaLyGEEEIIIYQQ4k0jCWEhnhEVFYWpqSmdOnXSOP7JJ5/QqFEjHBwc8PPzIzQ0lM2bNxc5lp6eHl9++SUuLi60a9eOadOmsWTJEnJzc5U2devWZcqUKdSoUYPevXvj4eFBTEyMcn7EiBE0b94cBwcHWrRowYwZM547LzzZ4RgZGUnt2rVp3LgxvXr1UsY1NDSkR48eREREKO2/+uor7O3tlZ2VixYtol+/fvTr1w8nJydmzJhBrVq18s1jbGzMmjVrcHFxwcXFhQ0bNvDw4UPWrl1L7dq1adGiBcuWLWPdunX89ddfAMyYMYMyZcowYMAAPvzwQwIDA3n//fe1jg1Q5nBzc6NJkyYsXbqUjRs3cv369UJj27RpE7m5uaxZs4Y6derg7OxMREQEKSkpxMbGArB06VImTJhAx44dqVmzJsuWLSuwtmxR9+3gwYMcPXqULVu24OHhQY0aNQgPD8fCwkJjl2lR9+j+/fusWLGCefPm0aZNG2rVqsXq1asxNDTkiy++KPCeL1iwAB8fHyZNmoSjoyNBQUGEhIQwb948jXZt27Zl8ODBVK9enXHjxlGuXDl+/vlnAK2uUWG6d++OkZERtra2mJmZsWbNmkLbZmRkkJ6eTvv27alWrRrOzs4EBgZib29f5ByFsbS0xMjICD09PaytrbG0tASgb9++tGnThqpVq/LOO++wZMkSvv/+ezIzM9HV1VXalS9fHmtra8zNzcnKymLWrFl8+eWX+Pr6UrVqVYKCgvjwww9ZtWpVoTHMnj0bc3Nz5WVnZ/dCaxFCCCGEEEIIIV4lSQgL8Ywvv/ySnj17YmBgoHF806ZNeHt7Y21tjYmJCZ988gkpKSlFjuXq6oqRkZHy3svLi8zMTK5evaocq1u3rkYfGxsb5SvtAPv27cPHxwdbW1tMTU3p1asXt27d4sGDBwCYmJgor6drtjo4OGBqalrouP379+fHH3/k2rVrAERGRhIUFKTs0ExISKBhw4YasXl5eeVbY506ddDT01PeJyQk4OrqirGxsXLM29ub3NxcZReqnp4e69evJzo6mocPH+bbaf282ADs7e2xtbXViO3pOQqK7fTp01y6dAlTU1PlmllaWvLw4UOSkpJIT0/nr7/+wtPTU+mjq6tL/fr18627qPt2+vRpMjMzKVu2rMb9uXz5MklJSUqfou5RUlIS2dnZeHt7K+dLly6Np6cnCQkJ+eKBJ9f+6fbw5NpfvHiRnJycAmNXqVRYW1trxF7UNSrKwoULOXnyJN9++y1JSUmMGjUKgJSUFI3rMGvWLCwtLQkKCsLX1xc/Pz8WL15MWlpakeO/iBMnTuDn54e9vT2mpqbKruWifnYvXbrEgwcPeO+99zTiXrt2bZHXYMKECaSnpyuvp3/OhRBCCCGEEEKIN0Wpkg5AiDfJgQMHSExMZNOmTRrHDx8+TM+ePZk6dSq+vr6Ym5uzcePGfPVZX0Tp0qU13qtUKmUHcXJyMu3bt2fQoEHMnDkTS0tLDh48SL9+/Xj06BFGRkbEx8crfc3MzLQaF8Dd3R1XV1fWrl1Lq1atOH/+PLt2Ff/J408nfovj0KFDANy+fZvbt29rjPOqYsvMzKR+/fqsX78+X1srK6tijV3U9c3MzMTGxqbAHbVP7zZ+3j16VZ4X+4teo7wa3DVr1sTS0pLGjRszadIkKlasqPE5zduVGxERwbBhw9izZw+bNm3ik08+Ye/evbzzzjvo6OigVqs1xi+qZndB8sqX+Pr6sn79eqysrEhJScHX17fI8hd59a537dql8UcHAH19/UL76evrF3leCCGEEEIIIYR4E0hCWIinfPHFF9SvXx9XV1eN44cOHaJy5cpMnDhROZb38KuinD59mr///htDQ0MAfv31V0xMTLT+KvmJEyfIzc1l/vz56Og82dD/bLmI6tWrazVWQYKDg1m0aBHXrl2jZcuWGnE5Oztz5MgRevfurRz79ddfnzums7MzkZGR3L9/X0nIxsXFoaOjozzYLSkpiZEjR7J69Wo2bdpEYGAg+/btU9b4vNjgyQ7P1NRUKlasqMT29BwFqVevHps2baJ8+fIayfOnVahQgWPHjtGkSRMAcnJyOHnyJG5ubs9d+9PzXL9+nVKlSuHg4KB1v6dVq1YNPT094uLiqFy5MvAkIXrs2DFGjBhRYB9nZ2fi4uI0jsXFxeHo6Iiurq7WsT/vGmkjL8GclZVFqVKlCv2curu74+7uzoQJE/Dy8mLDhg288847WFlZce7cOY228fHx+ZLZRfntt9+4desWc+bMUT4/x48f12iTt4P86R3UtWrVQl9fn5SUlCLrIAshxNsoeU67kg5BCCGEEEKUMCkZIf71MjMziY+PV3YoXr58mfj4+HxfGc/IyGDLli0EBwfnG6NGjRqkpKSwceNGkpKSWLJkCdu2bXvu3I8ePaJfv35cuHCB3bt3M2XKFEJCQjQSn0WpXr062dnZLF26lD/++IN169axcuVKrfpqo0ePHvz555+sXr1a44FtAMOHD+fLL78kIiKC33//nSlTpnD+/PnnjplXbiMwMJBz587x888/M3ToUHr16kWFChXIycnhww8/xNfXlz59+hAREcGZM2fy7bYuKjZAmeP06dMcOHCAYcOGERAQgLW1dZGxlStXjg4dOnDgwAEuX75MbGwsw4YN488//wRg6NChzJ49m2+//ZbExESGDx/OnTt3ivWws5YtW+Ll5YW/vz8//vgjycnJHDp0iIkTJ+ZLSBbG2NiYQYMGMWbMGPbs2cOFCxfo378/Dx48yPfAwzyjR48mJiaG6dOn8/vvvxMVFcWyZcsIDQ3VOnZtrtGzdu/eTUREBOfOnSM5OZldu3YxcOBAvL29C02IX758mQkTJnD48GGuXLnCjz/+yMWLF3F2dgagRYsWHD9+nLVr13Lx4kWmTJmSL0H8PPb29ujp6Sk/Pzt27GD69OkabSpXroxKpWLnzp3cvHmTzMxMTE1NCQ0NZeTIkURFRZGUlMTJkydZunQpUVFRxYpBCCGEEEIIIYR400hCWPzrHT9+XNmFCDBq1Cjc3d2ZPHmyRruNGzeiVqvp3r17vjHef/99Ro4cSUhICG5ubhw6dIhJkyY9d24fHx9q1KhBkyZN6Nq1K++//z5hYWFax+7q6sqCBQv49NNPqV27NuvXr2f27Nla938ec3NzOnfujImJCf7+/hrnunbtyqRJkxg7diz169fnypUrDBo06LljGhkZ8cMPP3D79m0aNGjABx98gI+PD8uWLQNg5syZXLlyRXk4l42NDZ9//jmffPIJp0+f1io2eJIs79SpE23btqVVq1bUrVuX5cuXPze2X375BXt7ezp16oSzszP9+vXj4cOHym7YcePG0b17d3r37o2XlxcmJib4+vrmqyldFJVKxe7du2nSpAl9+vTB0dGRbt26ceXKFSpUqKD1OHPmzKFz58706tWLevXqcenSJX744QfKlClTYPt69eqxefNmNm7cSO3atZk8eTLTpk0jKChI6zm1uUbPMjQ0ZPXq1bz77rs4OzszcuRI3n//fXbu3FnkPL/99hudO3fG0dGRAQMGMGTIED766CMAfH19lc9fgwYNuHfvnsZudW1YWVkRGRnJli1bqFWrFnPmzCE8PFyjja2tLVOnTmX8+PFUqFCBkJAQAKZPn86kSZOYPXs2zs7OtG7dml27dlGlSpVixSCEEEIIIYQQQrxpVOpnizQKIV6KoKAg7t69y/bt20s6lCL5+Pjg4uLCkiVLSjqUfAqLLSwsjO3bt2vUpX1VcnNzcXZ2JiAgIN/uUiGKkpGRgbm5Oenp6f+o/IYQQgghhBBCCKENbX8PlRrCQvxH3blzh9jYWGJjY5+7s/Z1K8nY8soXNG3alKysLJYtW8bly5fp0aPHa41DCCGEEEIIIYQQ4lWQkhFCPCU2NhaVSsXdu3ffinH/CXd3d4KCgvj000+LfBBbSXgdsalUqgJ3b+vo6BAZGUmDBg3w9vbm7Nmz7Nu3T6ltK7Tn4ODAokWLlPfXr1/nvffew9jYGAsLixKJKSYmBmdnZ42HyD3P+PHjGTp06CuMSgghhBBCCCGEeH0kISzeSrNnz6ZBgwaYmppSvnx5/P39SUxM1Gjz+eef06xZM8zMzEokGRsZGflGl4tITk4mPT29WA8ce12eF1tYWNgrKxdhZ2dHXFwc6enpZGRkcOjQIZo0afJK5vqvWbhwIWlpacTHx/P7779r1ScyMvKlJo/Hjh3LJ598gq6uLgBpaWn06NEDR0dHdHR0GDFiRL4+oaGhREVF8ccff7y0OIQQQgghhBBCiJIiJSPEW2n//v0MGTKEBg0a8PjxYz7++GNatWrFhQsXMDY2BuDBgwe0bt2a1q1bM2HChBKOuGg5OTmoVCp0dN68v9G8ybGJt0tSUhL169enRo0aJTL/wYMHSUpKonPnzsqxrKwsrKys+OSTT1i4cGGB/cqVK4evry8rVqxg3rx5rytcIYR4JRzG7yrpEMRbJHlOu5IOQQghhBCvgGR4xFtpz549BAUF4eLigqurK5GRkaSkpHDixAmlzYgRIxg/fjzvvPNOscc/ceIEHh4eGBkZ0ahRI2X3cXJyMjo6Ohw/flyj/aJFi6hcuTK5ubkA7N69G0dHRwwNDWnevDnJycka7fN2Pe7YsYNatWqhr69PSkoKd+7coXfv3pQpUwYjIyPatGnDxYsXAbh58ybW1tbMmjVLGefQoUPo6ekRExOjVWx5pSt27dpF3bp1MTAw4J133uHcuXPPjS0rK4vQ0FBsbW0xNjamYcOGxMbGasy1evVq7OzsMDIyomPHjixYsEBjd2dYWBhubm6sW7cOBwcHzM3N6datG/fu3VPa5ObmMnv2bKpUqYKhoSGurq588803yvm8NcTExBR4j/KsWLGCatWqoaenh5OTE+vWrSvqlnP27FlatGiBoaEhZcuWZcCAAWRmZirng4KC8Pf3Jzw8HBsbG8qWLcuQIUPIzs5W2mhzjZ6lUqlYtWoV7du3x8jICGdnZw4fPsylS5do1qwZxsbGNGrUiKSkpGKtT6VSsWbNGjp27IiRkRE1atRgx44dGm3279+Pp6cn+vr62NjYMH78eB4/fqyc/+abb6hTp45yTVq2bMn9+/cBaNasWb7dtP7+/gQFBRW4TgcHB6Kjo1m7di0qlUppt2DBAurUqYOxsTF2dnYMHjxYue6xsbH06dOH9PR0VCoVKpWKsLCwF77WGzdu5L333sPAwEAjrsWLF9O7d2/Mzc0L7evn58fGjRuLHF8IIYQQQgghhHgbSEJY/Cukp6cDYGlp+VLGmzhxIvPnz+f48eOUKlWKvn37Ak+SRy1btiQiIkKjfUREBEFBQejo6HD16lU6deqEn58f8fHxBAcHM378+HxzPHjwgE8//ZQ1a9Zw/vx5ypcvT1BQEMePH2fHjh0cPnwYtVpN27Ztyc7OxsrKii+//JKwsDCOHz/OvXv36NWrFyEhIfj4+GgVW54xY8Ywf/58jh07hpWVFX5+fhqJzYJiCwkJ4fDhw2zcuJEzZ87QpUsXWrdurSSs4+LiGDhwIMOHDyc+Pp733nuPmTNn5lt3UlIS27dvZ+fOnezcuZP9+/czZ84c5fzs2bNZu3YtK1eu5Pz584wcOZIPP/yQ/fv3a3WPALZt28bw4cMZPXo0586d46OPPqJPnz78/PPPBd7v+/fv4+vrS5kyZTh27Bhbtmxh3759hISEaLT7+eefSUpK4ueffyYqKorIyEgiIyOV88+7RoWZPn06vXv3Jj4+npo1a9KjRw8++ugjJkyYwPHjx1Gr1RqxaLu+qVOnEhAQwJkzZ2jbti09e/bk9u3bAFy7do22bdvSoEEDTp8+zYoVK/jiiy+YMWMG8KSUQvfu3enbty8JCQnExsbSqVMn1Gp1kWspzLFjx2jdujUBAQGkpaWxePFi4EnN5iVLlnD+/HmioqL46aefGDt2LACNGjVi0aJFmJmZkZaWRlpamlJG5EWu9YEDB/Dw8Hih+D09Pfnzzz/z/XFHCCGEEEIIIYR426jUL/rbvRBviNzcXN5//33u3r3LwYMH852PjY2lefPm3Llz57m1SPPa7tu3Dx8fH+DJbt927drx999/Y2BgwObNmxk4cCBpaWno6+tz8uRJPDw8+OOPP3BwcODjjz/m22+/5fz588q448eP59NPP1ViiIyMpE+fPsTHx+Pq6grAxYsXcXR0JC4ujkaNGgFw69Yt7OzsiIqKokuXLgAMGTKEffv24eHhwdmzZzl27Bj6+voAz40tb30bN26ka9euANy+fZtKlSoRGRlJQEBAgbGlpKRQtWpVUlJSqFixorKuli1b4unpyaxZs+jWrRuZmZns3LlTOf/hhx+yc+dOpX5zWFgY8+bN4/r165iamgJParr+8ssv/Prrr2RlZWFpacm+ffvw8vJSxgkODubBgwds2LBBq3vk7e2Ni4sLn3/+uTJGQEAA9+/fZ9euJ1+VValUbNu2DX9/f1avXs24ceO4evWqUnJk9+7d+Pn5kZqaSoUKFQgKCiI2NpakpCSl/mxAQAA6Ojps3LhRq2tUEJVKxSeffML06dMB+PXXX/Hy8uKLL75QktwbN26kT58+/P333wBar+/pce/fv4+JiQnff/89rVu3ZuLEiURHR5OQkIBKpQJg+fLljBs3jvT0dOLj46lfvz7JyclUrlw5X9zNmjXDzc1N46Fx/v7+yucbnvwBZcSIEcpO4mfPF+Sbb75h4MCB/O9//wOe7FgfMWKERg3wF73WFhYWLF26lF69ehV4vqA15cnIyMDc3JzY2FiaNm1aYP+srCyysrI0+tjZ2ZGeno6ZmVmhaxZCiNdJSkaI4pCSEUIIIcTbJe931+f9Hio7hMVbb8iQIZw7d67YX+du06YNJiYmmJiY4OLionGubt26yr9tbGwAuHHjBvAkqaWrq8u2bduAJwmr5s2b4+DgAEBCQgINGzbUGO/p5GYePT09jXkSEhIoVaqURt+yZcvi5OREQkKCciw8PJzHjx+zZcsW1q9frySDtYmtoHgsLS3zzfFsbGfPniUnJwdHR0flmpmYmLB//36llEFiYiKenp4a8zz7Hp4kCfOSwfDk+uZd20uXLvHgwQPee+89jXnWrl2br2RCUfcoISEBb29vjfbe3t4aa3xaQkICrq6uSjI4r31ubq5GKQoXFxclGfxs7Npco8I8vZYKFSoAUKdOHY1jDx8+JCMjo1jre3pcY2NjzMzMNK6Rl5eXkgzOGyMzM5M///wTV1dXfHx8qFOnDl26dGH16tXcuXOnyHW8iLzEvq2tLaampvTq1Ytbt27x4MGDQvu86LXO+4PBizA0NAQoMq7Zs2djbm6uvOzs7F5oLiGEEEIIIYQQ4lWSh8qJt1pISAg7d+7kl19+oVKlSsXqu2bNGmXHZenSpTXOPf0+L2GWVx9YT0+P3r17ExERQadOndiwYYPy9ffiMDQ01EjGaSspKYnU1FRyc3NJTk7WSBy+qtgyMzPR1dXlxIkTGglRABMTk2KN/ey1VqlUyrXNqx27a9cubG1tNdo9nfh+dpxn79Gr8rzYX/QaFbSWl7G+ouJ9Hl1dXfbu3cuhQ4f48ccfWbp0KRMnTuTIkSNUqVIFHR2dfOUjni47oo3k5GTat2/PoEGDmDlzJpaWlhw8eJB+/frx6NEjjIyMCuz3ote6XLlyL5zUziu1YWVlVWibCRMmMGrUKOV93g5hIYQQQgghhBDiTSIJYfFWUqvVDB06lG3bthEbG0uVKlWKPcazCcfiCA4Opnbt2ixfvpzHjx/TqVMn5Zyzs3O+h3f9+uuvzx3T2dmZx48fc+TIEY2SEYmJidSqVQuAR48e8eGHH9K1a1ecnJwIDg7m7NmzlC9fXqvYno7H3t4egDt37vD777/j7OxcaGzu7u7k5ORw48YNGjduXGAbJycnjh07pnHs2ffP8/RD7Ar7Wr42nJ2diYuLIzAwUDkWFxenXMeC2kdGRnL//n1ll3BcXBw6Ojo4OTlpNac21+hlKe76ChsjOjoatVqtJJzj4uIwNTVV/riiUqnw9vbG29ubyZMnU7lyZbZt28aoUaOwsrIiLS1NGS8nJ4dz587RvHlzrWM4ceIEubm5zJ8/X6lxvXnzZo02enp65OTkaBx70Wvt7u7OhQsXtG7/tHPnzlG6dOl83yZ4mr6+fr4/XAghhBBCCCGEEG8aSQiLt9KQIUPYsGED3377Laamply/fh0Ac3Nz5avd169f5/r161y6dAl48jVzU1NT7O3t//HD55ydnXnnnXcYN24cffv2VeYEGDhwIPPnz2fMmDEEBwdz4sSJImum5qlRowYdOnSgf//+rFq1ClNTU8aPH4+trS0dOnQAnjxILT09nSVLlmBiYsLu3bvp27evRt3eomLLM23aNMqWLUuFChWYOHEi5cqVw9/fv9DYHB0d6dmzJ71792b+/Pm4u7tz8+ZNYmJiqFu3Lu3atWPo0KE0adKEBQsW4Ofnx08//cT3339frF3QpqamhIaGMnLkSHJzc3n33XdJT08nLi4OMzMzjQRoUcaMGUNAQADu7u60bNmS7777jq1bt7Jv374C2/fs2ZMpU6YQGBhIWFgYN2/eZOjQofTq1Usp4fA82lyjl6W46yvI4MGDWbRoEUOHDiUkJITExESmTJnCqFGj0NHR4ciRI8TExNCqVSvKly/PkSNHuHnzpvKHgxYtWjBq1Ch27dpFtWrVWLBggUadX21Ur16d7Oxsli5dip+fH3FxcaxcuVKjjYODA5mZmcTExODq6oqRkdELX2tfX1+ioqLyHY+Pjwee7Dy+efMm8fHx6OnpaSTYDxw4QOPGjQv8eRJCiLeJ1IQVQgghhBCohXgLAQW+IiIilDZTpkx5bptn/fzzz2pAfefOHeXYqVOn1ID68uXLGm2/+OILNaA+evRovnG+++47dfXq1dX6+vrqxo0bq7/88kuNcSMiItTm5ub5+t2+fVvdq1cvtbm5udrQ0FDt6+ur/v3335XYSpUqpT5w4IDS/vLly2ozMzP18uXLtYotb33fffed2sXFRa2np6f29PRUnz59WmlTWGyPHj1ST548We3g4KAuXbq02sbGRt2xY0f1mTNnlDaff/652tbWVm1oaKj29/dXz5gxQ21tba2cnzJlitrV1VVj3IULF6orV66svM/NzVUvWrRI7eTkpC5durTayspK7evrq96/f7/GGp53j5YvX66uWrWqunTp0mpHR0f12rVrNeYF1Nu2bVPenzlzRt28eXO1gYGB2tLSUt2/f3/1vXv3lPOBgYHqDh06aIwxfPhwddOmTYt1jZ71bByXL19WA+pTp04pxwpac3HXp1ar1ebm5hqf/9jYWHWDBg3Uenp6amtra/W4cePU2dnZarVarb5w4YLa19dXbWVlpdbX11c7Ojqqly5dqrHWQYMGqS0tLdXly5dXz549W92hQwd1YGCg0qZy5crqhQsXKu+fPa9Wq9ULFixQ29jYKJ/3tWvX5lvrwIED1WXLllUD6ilTprzwtb5165bawMBA/dtvv+W7Vs++nv5MqtVqtZOTk/rrr78udOyCpKenqwF1enp6sfoJIYQQQgghhBAvQtvfQ1Vq9TNFIIUQWpk+fTpbtmzhzJkzJR1KPoXFFhsbS/Pmzblz5w4WFhavPI7+/fvz22+/ceDAgVc+lxDaGDNmDBkZGaxatUrrPt9//z2jR4/mzJkzlCql/RdrtH26qxBCCCGEEEII8TJo+3uozmuMSYh/hczMTM6dO8eyZcsYOnRoSYejoaRjCw8P5/Tp01y6dImlS5cSFRWldZkHIV6HiRMnUrly5WI9oO/+/ftEREQUKxkshBBCCCGEEEK8qeS3WyGKKSQkhK+//hp/f3/69u1b0uFoKOnYjh49yty5c7l37x5Vq1ZlyZIlBAcHv/Y4hCiMhYUFH3/8cbH6fPDBB68oGiGEEEIIIYQQ4vWTkhFCCPESJCcnU6VKFU6dOoWbm1tJh4NKpWLbtm1FPizwTRIZGcmIESOK/WC6p71p90BKRgghhBBCCCGEeJ2kZIQQQvwDDg4OqFSqfK8hQ4a8sjlVKhXbt29/ZeOL/IKCgt6apLkQQgghhBBCCPEySMkIIYQowLFjx8jJyVHenzt3jvfee48uXbqUYFRCCCHEP+MwfldJh/DSJc9pV9IhCCGEEEK8VWSHsBBCFMDKygpra2vltXPnTqpVq0bTpk216p+Tk0Pfvn2pWbMmKSkpAHz77bfUq1cPAwMDqlatytSpU3n8+DHwZEcyQMeOHVGpVMp7gBUrVlCtWjX09PRwcnJi3bp1GnNdvHiRJk2aYGBgQK1atdi7d2++eK5evUpAQAAWFhZYWlrSoUMHkpOTlfO5ublMmzaNSpUqoa+vj5ubG3v27AFArVbTsmVLfH19yasydPv2bSpVqsTkyZNRq9VUr16d8PBwjTnj4+NRqVRcunQJgLt37/LRRx9RoUIFDAwMqF27Njt37tTo88MPP+Ds7IyJiQmtW7cmLS1NqxgLuwf9+vWjSpUqGBoa4uTkxOLFi5XzYWFhREVF8e233yo7wGNjY7W6XkIIIYQQQgghxNtKEsJCCPEcjx494quvvqJv376oVKrnts/KyqJLly7Ex8dz4MAB7O3tOXDgAL1792b48OFcuHCBVatWERkZycyZM4EnO5IBIiIiSEtLU95v27aN4cOHM3r0aM6dO8dHH31Enz59+Pnnn4EnSdJOnTqhp6fHkSNHWLlyJePGjdOIJzs7G19fX0xNTTlw4ABxcXFKwvXRo0cALF68mPnz5xMeHs6ZM2fw9fXl/fff5+LFi6hUKqKiojh27BhLliwBYODAgdja2jJ58mRUKhV9+/YlIiJCY96IiAiaNGlC9erVyc3NpU2bNsTFxfHVV19x4cIF5syZg66urtL+wYMHhIeHs27dOn755RdSUlIIDQ1VzhcVY0Fyc3OpVKkSW7Zs4cKFC0yePJmPP/6YzZs3AxAaGkpAQICSeE5LS6NRo0ZaXS8hhBBCCCGEEOJtJQ+VE0KI59i8eTM9evQgJSWFihUrFtgm74FmBw4cICwsjKysLHbu3Im5uTkALVu2xMfHhwkTJih9vvrqK8aOHUtqaipQ8IPgvL29cXFx4fPPP1eOBQQEcP/+fXbt2sWPP/5Iu3btuHLlihLbnj17aNOmjTLWV199xYwZM0hISFAS2o8ePcLCwoLt27fTqlUrbG1tGTJkCB9//LEyj6enJw0aNOCzzz4DYMuWLfTu3ZsRI0awdOlSTp06RY0aNQBITU3F3t6eQ4cO4enpSXZ2NhUrViQ8PJzAwEB+/PFH2rRpQ0JCAo6OjvmuX2RkJH369OHSpUtUq1YNgOXLlzNt2jSuX78O8NwYtXmoXEhICNevX+ebb74BntQQvnv3rkbtZm2uV0GysrLIyspS3mdkZGBnZycPlRNCvFGkZIQQQgghxL+XPFROCCFeki+++II2bdooCdeBAwdiYmKivJ7WvXt37t+/z48//qgkgwFOnz7NtGnTNPr179+ftLQ0Hjx4UOjcCQkJeHt7axzz9vYmISFBOW9nZ6eRqPby8tJof/r0aS5duoSpqakyt6WlJQ8fPiQpKYmMjAxSU1OLnAegS5cudOzYkTlz5hAeHq4kgwEqVqxIu3bt+PLLLwH47rvvlJ3S8KR8RKVKlQpMBucxMjJSksEANjY23LhxA0DrGJ/12WefUb9+faysrDAxMeHzzz9XSngU5nnXqzCzZ8/G3NxcednZ2RU5jxBCCCGEEEIIURLkoXJCCFGEK1eusG/fPrZu3aocmzZtmkYpg6e1bduWr776isOHD9OiRQvleGZmJlOnTqVTp075+hgYGLz8wJ+SmZlJ/fr1Wb9+fb5zVlZWWo/z4MEDTpw4ga6uboFlGoKDg+nVqxcLFy4kIiKCrl27YmRkBIChoeFzxy9durTGe5VKxT/5EsvGjRsJDQ1l/vz5eHl5YWpqyrx58zhy5EiR/V70ek2YMIFRo0Yp7/N2CAshhBBCCCGEEG8SSQgLIUQRIiIiKF++PO3a/d/XUcuXL0/58uULbD9o0CBq167N+++/z65du5SH0NWrV4/ExESqV69e6FylS5cmJydH45izszNxcXEEBgYqx+Li4qhVq5Zy/urVq6SlpWFjYwPAr7/+qjFGvXr12LRpE+XLly/0KyMVK1YkLi5O46F5cXFxeHp6Ku9Hjx6Njo4O33//PW3btqVdu3YaSe+2bdtibGzMihUr2LNnD7/88otyrm7duvz555/8/vvvRe4SLoyZmZlWMT4tLi6ORo0aMXjwYOXYszt89fT08l1zba5XQfT19dHX19e6vRBCCCGEEEIIURIkISyEEIXIzc0lIiKCwMBASpXS/r/LoUOHkpOTQ/v27fn+++959913mTx5Mu3bt8fe3p4PPvgAHR0dTp8+zblz55gxYwYADg4OxMTE4O3tjb6+PmXKlGHMmDEEBATg7u5Oy5Yt+e6779i6dSv79u0DntQmdnR0JDAwkHnz5pGRkcHEiRM14unZsyfz5s2jQ4cOTJs2jUqVKnHlyhW2bt3K2LFjqVSpEmPGjGHKlClUq1YNNzc3IiIiiI+PV3bJ7tq1iy+//JLDhw9Tr149xowZQ2BgIGfOnKFMmTIA6OrqEhQUxIQJE6hRo4ZG6YqmTZvSpEkTOnfuzIIFC6hevTq//fYbKpWK1q1ba3Vdnxfjs2rUqMHatWv54YcfqFKlCuvWrePYsWNUqVJFaePg4MAPP/xAYmIiZcuWxdzcXKvrJYQQbyuptyuEEEIIIaSGsBBCFGLfvn2kpKTQt2/fYvcdMWIEU6dOpW3bthw6dAhfX1927tzJjz/+SIMGDXjnnXdYuHAhlStXVvrMnz+fvXv3Ymdnh7u7OwD+/v4sXryY8PBwXFxcWLVqFRERETRr1gwAHR0dtm3bxt9//42npyfBwcHMnDlTIxYjIyN++eUX7O3t6dSpE87OzvTr14+HDx8qO2CHDRvGqFGjGD16NHXq1GHPnj3s2LGDGjVqcPPmTfr160dYWBj16tUDYOrUqVSoUIGBAwdqzNWvXz8ePXpEnz598l2T6OhoGjRoQPfu3alVqxZjx47Ntzu3KEXFWJCPPvqITp060bVrVxo2bMitW7c0dgsD9O/fHycnJzw8PLCysiIuLk6r6yWEEEIIIYQQQrytVOp/UqBRCCGEeMqBAwfw8fHh6tWrVKhQoaTDKVHaPt1VCCGEEEIIIYR4GbT9PVRKRgghhPjHsrKyuHnzJmFhYXTp0uU/nwwWQgghhBBCCCHeVFIyQgghxD/29ddfU7lyZe7evcvcuXNLOhwhhBBCCCGEEEIUQhLCQhRDZGQkFhYWxeoTFBSEv7//K4lHFM7BwYFFixaVdBjF0qxZM0aMGFHSYbyQoKAgcnJyOHHiBLa2tq9t3mfv8/Xr13nvvfcwNjYu9s+qEEIIIYQQQgjxXyAJYfGfERYWhkql0njVrFmzpMMSL2Dr1q14eHhgYWGBsbExbm5urFu37qXPExYWhpub20sf90Vt3bqV9957DysrK8zMzPDy8uKHH37I1+6zzz7DwcEBAwMDGjZsyNGjR0sg2pKxcOFC0tLSiI+P5/fff9eqz4v8oUcIIYQQQgghhHhbSQ1h8Z/i4uLCvn37lPelSv23fgQePXqEnp5eSYfxj1laWjJx4kRq1qyJnp4eO3fupE+fPpQvXx5fX9+SDu+V+eWXX3jvvfeYNWsWFhYWRERE4Ofnx5EjR3B3dwdg06ZNjBo1ipUrV9KwYUMWLVqEr68viYmJlC9fvoRX8OolJSVRv359atSoUdKhCCHEG8lh/K6SDkEAyXPalXQIQgghhPgPkx3C4j+lVKlSWFtbK69y5cppnF+wYAF16tTB2NgYOzs7Bg8eTGZmZqHj5e0gXbVqFXZ2dhgZGREQEEB6enq+tuHh4djY2FC2bFmGDBlCdna2cm7dunV4eHhgamqKtbU1PXr04MaNG0WuJW9X4/bt26lRowYGBgb4+vpy9erVfPGtWbOGKlWqYGBgAMDdu3cJDg5Wdpq2aNGC06dPa4w/Y8YMypcvj6mpKcHBwYwfP15jt2xeKYx/sq7Y2FhUKhUxMTF4eHhgZGREo0aNSExMLHLtzZo1o2PHjjg7O1OtWjWGDx9O3bp1OXjwoEa7e/fu0b17d4yNjbG1teWzzz7TOF/UdYiMjGTq1KmcPn1a2VEeGRkJFP9zkmf//v14enqir6+PjY0N48eP5/Hjx8/tl2fRokWMHTuWBg0aUKNGDWbNmkWNGjX47rvvlDYLFiygf//+9OnTh1q1arFy5UqMjIz48ssvixz7zp079O7dmzJlymBkZESbNm24ePGicj7v8/bDDz/g7OyMiYkJrVu3Ji0tTWOcNWvW4OzsjIGBATVr1mT58uVFzvvNN99Qp04dDA0NKVu2LC1btuT+/ftAwSU0/P39CQoKKnAsBwcHoqOjWbt2LSqVSmlX1P2KjY2lT58+pKenK/c5LCwMePKgvNDQUGxtbTE2NqZhw4bExsYWuR4hhBBCCCGEEOJNJwlh8Z9y8eJFKlasSNWqVenZsycpKSka53V0dFiyZAnnz58nKiqKn376ibFjxxY55qVLl9i8eTPfffcde/bs4dSpUwwePFijzc8//0xSUhI///wzUVFRREZGKslFgOzsbKZPn87p06fZvn07ycnJhSa9nvbgwQNmzpzJ2rVriYuL4+7du3Tr1i1ffNHR0WzdupX4+HgAunTpwo0bN/j+++85ceIE9erVw8fHh9u3bwOwfv16Zs6cyaeffsqJEyewt7dnxYoV+eZ/WeuaOHEi8+fP5/jx45QqVYq+ffs+d+151Go1MTExJCYm0qRJE41z8+bNw9XVlVOnTjF+/HiGDx/O3r17lfNFXYeuXbsyevRoXFxcSEtLIy0tja5duwIv9jm5du0abdu2pUGDBpw+fZoVK1bwxRdfMGPGDK3X+qzc3Fzu3buHpaUl8GQH+IkTJ2jZsqXSRkdHh5YtW3L48OEixwoKCuL48ePs2LGDw4cPo1aradu2rUaC/8GDB4SHh7Nu3Tp++eUXUlJSCA0NVc6vX7+eyZMnM3PmTBISEpg1axaTJk0iKiqqwDnT0tLo3r07ffv2JSEhgdjYWDp16oRarX6h63Hs2DFat25NQEAAaWlpLF68WLkGhd2vRo0asWjRIszMzJT7nLemkJAQDh8+zMaNGzlz5gxdunShdevWGolyIYQQQgghhBDibfPf+r68+E9r2LAhkZGRODk5kZaWxtSpU2ncuDHnzp3D1NQUQGM3ooODAzNmzGDgwIFF7nJ8+PAha9euVR6ktXTpUtq1a8f8+fOxtrYGoEyZMixbtgxdXV1q1qxJu3btiImJoX///gAaCdCqVauyZMkSGjRoQGZmJiYmJoXOnZ2dzbJly2jYsCEAUVFRODs7c/ToUTw9PYEnScK1a9diZWUFwMGDBzl69Cg3btxAX18feLJ7efv27XzzzTcMGDCApUuX0q9fP/r06QPA5MmT+fHHH/Ptgn1Z65o5cyZNmzYFYPz48bRr146HDx8qO5oLkp6ejq2tLVlZWejq6rJ8+XLee+89jTbe3t6MHz8eAEdHR+Li4li4cCHvvfeeVtfBxMRE2VX+tBf5nCxfvhw7OzuWLVum1K9OTU1l3LhxTJ48GR2d4v99Ljw8nMzMTAICAgD43//+R05ODhUqVNBoV6FCBX777bdCx7l48SI7duwgLi6ORo0aAU+Su3Z2dmzfvp0uXboATz5vK1eupFq1asCThOm0adOUcaZMmcL8+fPp1KkTAFWqVOHChQusWrWKwMDAfPOmpaXx+PFjOnXqROXKlQGoU6dOsa9DHisrK/T19TE0NNS4Z0XdLz09PczNzVGpVBp9UlJSiIiIICUlhYoVKwIQGhrKnj17iIiIYNasWfnmz8rKIisrS3mfkZHxwmsRQgghhBBCCCFeFdkhLP4z2rRpQ5cuXahbty6+vr7s3r2bu3fvsnnzZqXNvn378PHxwdbWFlNTU3r16sWtW7d48OBBoePa29sryWAALy8vcnNzNcoeuLi4oKurq7y3sbHRKJ1w4sQJ/Pz8sLe3x9TUVEmO5u1gdnFxwcTEBBMTE9q0aaP0K1WqFA0aNFDe16xZEwsLCxISEpRjlStXVpLBAKdPnyYzM5OyZcsqY5qYmHD58mWSkpIASExMVBLKeZ59/zLWladu3boaYwDcuHGDlJQUjRifTsKZmpoSHx/PsWPHmDlzJqNGjcr3dX4vL6987/OujTbXoTDP+5w8Pd7AgQMBSEhIwMvLC5VKpYzj7e1NZmYmf/75Z5HzFWTDhg1MnTqVzZs3F6s28MCBAzXiy4utVKlSyh8WAMqWLYuTk5PGZ8nIyEhJBoPm/b5//z5JSUn069dPY/wZM2YUej1dXV3x8fGhTp06dOnShdWrV3Pnzp1iXQdtvMjP9dmzZ8nJycHR0VFjPfv37y90PbNnz8bc3Fx52dnZvfS1CCGEEEIIIYQQ/5TsEBb/WRYWFjg6OnLp0iUAkpOTad++PYMGDWLmzJlYWlpy8OBB+vXrx6NHjzAyMnrhuUqXLq3xXqVSkZubCzxJpPn6+uLr68v69euxsrIiJSUFX19fHj16BMDu3buVr+4bGhoWa25jY2ON95mZmdjY2BRYC9XCwqJYY//TdRU0Tl7CNDc3l0qVKillLgClNAI8KQNQvXp1ANzc3EhISGD27Nk0a9ZMq9hf9Dpo8zl5OmYzMzOt4imOjRs3EhwczJYtWzTKQ5QrVw5dXV3++usvjfZ//fWXsvt12rRpGmUeiqOg+51X3iFv9/jq1as1EsuAxh8Nnj2+d+9eDh06xI8//sjSpUuZOHEiR44coUqVKujo6OQrH/F0CQttvOjPdWZmJrq6upw4cSJf/IXt2p8wYQKjRo1S3mdkZEhSWAghhBBCCCHEG0cSwuI/KzMzk6SkJHr16gU82c2am5vL/Pnzla/vP717uDApKSmkpqYqXyv/9ddf0dHRwcnJSas4fvvtN27dusWcOXOU5NHx48c12uR9nf5Zjx8/5vjx48ru3cTERO7evYuzs3Oh89WrV4/r169TqlQpHBwcCmzj5OTEsWPH6N27t3Ls2LFjWq0njzbrep5SpUopSd/nyc3N1fi6Pjy5F8++z7s22lwHPT09cnJyNI5p8zkpKGZnZ2eio6NRq9VK0jsuLg5TU1MqVaqk1RoBvv76a/r27cvGjRtp107zCeV6enrUr1+fmJgY/P39gSfXJSYmhpCQEADKly+fb0exs7Mzjx8/5siRI0rJiFu3bpGYmEitWrW0iqtChQpUrFiRP/74g549e2q9HpVKhbe3N97e3kyePJnKlSuzbds2Ro0ahZWVlcZD63Jycjh37hzNmzfXenxt7ldB99nd3Z2cnBxu3LhB48aNtZpLX19fKT8ihBBCCCGEEEK8qSQhLP4zQkND8fPzo3LlyqSmpjJlyhR0dXXp3r078CSJl52dzdKlS/Hz8yMuLo6VK1c+d1wDAwMCAwMJDw8nIyODYcOGERAQkK/ubGHs7e3R09Nj6dKlDBw4kHPnzjF9+nSt+pYuXZqhQ4eyZMkSSpUqRUhICO+8806B5R3ytGzZEi8vL/z9/Zk7dy6Ojo6kpqaya9cuOnbsiIeHB0OHDqV///54eHjQqFEjNm3axJkzZ6hatapWcf3TdT3P7Nmz8fDwoFq1amRlZbF7927WrVuX78F3cXFxzJ07F39/f/bu3cuWLVvYtWuX1tfBwcGBy5cvEx8fT6VKlTA1NX3hz8ngwYNZtGgRQ4cOJSQkhMTERKZMmcKoUaO0rh+8YcMGAgMDWbx4MQ0bNuT69evAk13j5ubmAIwaNYrAwEA8PDzw9PRk0aJF3L9/X6kHXZAaNWrQoUMH+vfvz6pVqzA1NWX8+PHY2trSoUMHrWIDmDp1KsOGDcPc3JzWrVuTlZXF8ePHuXPnjsbO2TxHjhwhJiaGVq1aUb58eY4cOcLNmzeVpH2LFi0YNWoUu3btolq1aixYsIC7d+9qHQ9o93Pt4OBAZmYmMTExuLq6YmRkhKOjIz179qR3797Mnz8fd3d3bt68SUxMDHXr1s2XjBdCiLdF8hz5/0sIIYQQ4r9OagiL/4w///yT7t274+TkREBAAGXLluXXX39V6uu6urqyYMECPv30U2rXrs369euZPXv2c8etXr06nTp1om3btrRq1Yq6desW+XCxZ1lZWREZGcmWLVuoVasWc+bMITw8XKu+RkZGjBs3jh49euDt7Y2JiQmbNm0qso9KpWL37t00adKEPn364OjoSLdu3bhy5YryMLKePXsyYcIEQkNDqVevHpcvXyYoKKjIh7y9zHU9z/379xk8eDAuLi54e3sTHR3NV199RXBwsEa70aNHc/z4cdzd3ZkxYwYLFizA19dX6+vQuXNnWrduTfPmzbGysuLrr79+4c+Jra0tu3fv5ujRo7i6ujJw4ED69evHJ598UmifsLAwjd3Ln3/+OY8fP2bIkCHY2Ngor+HDhyttunbtSnh4OJMnT8bNzY34+Hj27NmT70Fzz4qIiKB+/fq0b98eLy8v1Go1u3fvzlcmoijBwcGsWbOGiIgI6tSpQ9OmTYmMjKRKlSoFtjczM+OXX36hbdu2ODo68sknnzB//nylTnbfvn0JDAykd+/eNG3alKpVqxZrdzBo93PdqFEjBg4cSNeuXbGysmLu3LnKNenduzejR4/GyckJf39/jh07hr29fbFiEEIIIYQQQggh3iQq9bMFGoUQWgsLC2P79u0aNWNfl8jISEaMGFHsHZMv6r333sPa2pp169a9lvkEBAYGolKpiIyMLOlQxAvIyMjA3Nyc9PT0V1JLWgghhBBCCCGEeJq2v4dKyQghRD4PHjxg5cqV+Pr6oqury9dff82+ffvYu3dvSYf2n6FWq4mNjeXgwYMlHYoQQgghhBBCCCH+RSQhLITIJ6+cwsyZM3n48CFOTk5ER0fTsmXLkg7tP0OlUnHlypWSDkMIIYQQQgghhBD/MlJDWIh/ICwsrETKRQAEBQW9ULkIlUrF9u3bAUhOTkalUilriI2NRaVSkZWVxb59+7h16xb379/n5MmTdOrU6eUF/xI5ODiwaNEi5f3T63tVc7wOYWFhuLm5FatPs2bNGDFixCuJ52XSdm2TJk1iwIABrz4gLbzzzjtER0eXdBhCCCGEEEIIIcQ/JglhId4Cv/zyC35+flSsWPGlJjzt7OxIS0ujdu3aL2W8N0FaWpryUDLx9rp+/TqLFy9m4sSJyrHZs2fToEEDTE1NKV++PP7+/iQmJmr0e/jwIUOGDKFs2bKYmJjQuXNn/vrrryLn2rp1Kx4eHlhYWGBsbIybm1u+WtmffPIJ48ePJzc39+UtUgghhBBCCCGEKAFSMkKIt8D9+/dxdXWlb9++L3Wnrq6uLtbW1i9tvDfBv209b5NHjx6hp6f3UsZas2YNjRo1onLlysqx/fv3M2TIEBo0aMDjx4/5+OOPadWqFRcuXMDY2BiAkSNHsmvXLrZs2YK5uTkhISF06tSJuLi4QueytLRk4sSJ1KxZEz09PXbu3EmfPn0oX748vr6+ALRp04bg4GC+//572rVr91LWKP67HMbvKukQxH9Y8hz5P0wIIYQQ4r9OdggL8RZo06YNM2bMoGPHjsXqd/HiRZo0aYKBgQG1atXK91C4Z0tG5Dlx4gQeHh4YGRnRqFGjfLswV6xYQbVq1dDT08PJySnfbkqVSsWqVato3749RkZGODs7c/jwYS5dukSzZs0wNjamUaNGJCUlFWtcbRRUEmPr1q00b94cIyMjXF1dOXz4sEaf6OhoXFxc0NfXx8HBgfnz5xc5x927dwkODsbKygozMzNatGjB6dOnlfN5JRHWrVuHg4MD5ubmdOvWjXv37gGwdu1aypYtS1ZWlsa4/v7+9OrVq8A5Hz9+zLBhw7CwsKBs2bKMGzeOwMBA/P39C2w/bdq0And+u7m5MWnSJOX9l19+qazdxsaGkJCQYq9zzZo1VKlSBQMDAwBSUlLo0KEDJiYmmJmZERAQ8Nxdus/auHEjfn5+Gsf27NlDUFAQLi4uuLq6EhkZSUpKCidOnAAgPT2dL774ggULFtCiRQvq169PREQEhw4d4tdffy10rmbNmtGxY0ecnZ2pVq0aw4cPp27duhoP9NPV1aVt27Zs3LixWOsQQgghhBBCCCHeNJIQFuJfKjc3l06dOqGnp8eRI0dYuXIl48aN06rvxIkTmT9/PsePH6dUqVL07dtXObdt2zaGDx/O6NGjOXfuHB999BF9+vTh559/1hhj+vTp9O7dm/j4eGrWrEmPHj346KOPmDBhAsePH0etVmskH7Ud90VMnDiR0NBQ4uPjcXR0pHv37jx+/Bh4kvwOCAigW7dunD17lrCwMCZNmkRkZGSh43Xp0oUbN27w/fffc+LECerVq4ePjw+3b99W2iQlJbF9+3Z27tzJzp072b9/P3PmzFH65+TksGPHDqX9jRs32LVrl8a1ftqnn37K+vXriYiIIC4ujoyMjCJLh/Tt25eEhASOHTumHDt16hRnzpyhT58+wJME/JAhQxgwYABnz55lx44dVK9evVjrvHTpEtHR0WzdupX4+Hhyc3Pp0KEDt2/fZv/+/ezdu5c//viDrl27Fhrrs27fvs2FCxfw8PAosl16ejrwZIcvPLmX2dnZGg8/rFmzJvb29hp/BHBwcCAsLKzAMdVqNTExMSQmJtKkSRONc56enhw4cKDQeLKyssjIyNB4CSGEEEIIIYQQbxopGSHEv9S+ffv47bff+OGHH6hYsSIAs2bN0qq+7syZM2natCkA48ePp127djx8+BADAwPCw8MJCgpi8ODBAIwaNYpff/2V8PBwmjdvrozRp08fAgICABg3bhxeXl5MmjRJ+Qr+8OHDlcQkoPW4LyI0NFT5mv/UqVNxcXHh0qVL1KxZkwULFuDj46PsmnV0dOTChQvMmzePoKCgfGMdPHiQo0ePcuPGDfT19ZXYt2/fzjfffKM8BC03N5fIyEhMTU0B6NWrFzExMcycORNDQ0N69OhBREQEXbp0AeCrr77C3t6eZs2aFbiGpUuXMmHCBGWX+LJly9i9e3eha65UqRK+vr5ERETQoEEDACIiImjatClVq1YFYMaMGYwePZrhw4cr/fLaarvOR48esXbtWqysrADYu3cvZ8+e5fLly9jZ2QFPdkS7uLhw7NgxZfyipKSkoFarlc9tQXJzcxkxYgTe3t7KTujr16+jp6eHhYWFRtsKFSpw/fp15X21atUoV66cRpv09HRsbW3JyspCV1eX5cuX895772m0qVixIlevXiU3Nxcdnfx/T509ezZTp0597vqEEEIIIYQQQoiSJDuEhfgXmDVrFiYmJsorJSWFhIQE7OzsNJJqXl5eWo1Xt25d5d82NjbAkx2sAAkJCXh7e2u09/b2JiEhodAxKlSoAECdOnU0jj18+FDZRfm8cdevX6+xxqJ2ar6M9Vy8eJGcnJx8Y50+fZrMzEzloWV5r8uXL2uUwHBwcFCSwXnz5s0J0L9/f3788UeuXbsGQGRkJEFBQahUqnxzpqen89dff+Hp6akc09XVpX79+kWuu3///nz99dc8fPiQR48esWHDBmUH8o0bN0hNTcXHx6fAvtqus3LlykoyGFA+d3nJYIBatWphYWGR7zNSmL///htAKUFRkCFDhnDu3LkXKuEQExOjsTsdwNTUlPj4eI4dO8bMmTMZNWoUsbGxGm0MDQ3Jzc3NV+ojz4QJE0hPT1deV69eLXZsQgghhBBCCCHEqyY7hIX4Fxg4cKCyGxcocmelNkqXLq38Oy9BmZub+4/H+Cfjvv/++zRs2FB5b2tr+49iKe568mRmZmJjY5MvWQho7Ex9es68eZ+e093dHVdXV9auXUurVq04f/48u3a93AdN+fn5oa+vz7Zt29DT0yM7O5sPPvgAeJLcLIq268x7mNvLlLd7986dOxrJ5jwhISHs3LmTX375hUqVKinHra2tefToEXfv3tWI8a+//nruwwZ1dHSUchlubm4kJCQwe/ZsjR3bt2/fxtjYuNBrp6+vr+ymFkIIIYQQQggh3lSSEBbiX8DS0lKpo5rH2dmZq1evkpaWpuyKLerBWtpydnYmLi6OwMBA5VhcXBy1atV6peOamppq7Lh9WfLmfVpcXByOjo7o6urma1+vXj2uX79OqVKlcHBw+EdzBwcHs2jRIq5du0bLli01dtU+zdzcnAoVKnDs2DGlrm1OTg4nT57Ezc2t0PFLlSpFYGAgERER6Onp0a1bNyWZaWpqioODAzExMQWW5HjRdeZ97q5evaqs58KFC9y9e1frz0i1atUwMzPjwoULODo6KsfVajVDhw5l27ZtxMbGUqVKFY1+9evXp3Tp0sTExNC5c2cAEhMTSUlJ0Xp3fJ6CdgKfO3cOd3f3Yo0jhBBCCCGEEEK8aSQhLMRbIDMzk0uXLinvL1++THx8PJaWltjb2xfYp2XLljg6OhIYGMi8efPIyMhg4sSJ/ziWMWPGEBAQgLu7Oy1btuS7775j69at7Nu3740c93lGjx5NgwYNmD59Ol27duXw4cMsW7aM5cuXF9i+ZcuWeHl54e/vz9y5c3F0dCQ1NZVdu3bRsWPH5z4I7Wk9evQgNDSU1atXs3bt2iLbDh06lNmzZ1O9enVq1qzJ0qVLuXPnToElJp4WHByMs7MzQL7Ed1hYGAMHDqR8+fK0adOGe/fuERcXx9ChQ194nS1btqROnTr07NmTRYsW8fjxYwYPHkzTpk21vjY6Ojq0bNmSgwcP4u/vrxwfMmQIGzZs4Ntvv8XU1FSpC2xubo6hoSHm5ub069ePUaNGYWlpiZmZGUOHDsXLy4t33nlHGcfHx4eOHTsqZSNmz56Nh4cH1apVIysri927d7Nu3TpWrFihEdeBAwdo1aqVVmsQoijJc9qVdAhCCCGEEEKI/zCpISzEW+D48eO4u7sruxNHjRqFu7s7kydPLrSPjo4O27Zt4++//8bT05Pg4GBmzpz5j2Px9/dn8eLFhIeH4+LiwqpVq4iIiCj0YWglPe7z1KtXj82bN7Nx40Zq167N5MmTmTZtWoEPlIMnpR92795NkyZN6NOnD46OjnTr1o0rV64otZK1ZW5uTufOnTExMdFIfBZk3LhxdO/end69e+Pl5YWJiQm+vr5F1tkFqFGjBo0aNaJmzZoaJTcAAgMDWbRoEcuXL8fFxYX27dtz8eLFf7ROlUrFt99+S5kyZWjSpAktW7akatWqbNq0SbuL8v8FBwezceNGjTIbK1asID09nWbNmmFjY6O8nh574cKFtG/fns6dO9OkSROsra3ZunWrxthJSUn873//U97fv3+fwYMH4+Ligre3N9HR0Xz11VcEBwcrba5du8ahQ4c0HoQohBBCCCGEEEK8jVRqtVpd0kEIIcR/lY+PDy4uLixZsqRY/XJzc3F2diYgIIDp06cX2k6tVlOjRg0GDx7MqFGj/mm4r41araZhw4aMHDmS7t27l3Q4jBs3jjt37vD5559r3ScjIwNzc3PS09MxMzN7hdEJIYQQQgghhBDa/x4qJSOEEKIE3Llzh9jYWGJjYwstT/G0K1eu8OOPP9K0aVOysrJYtmwZly9fpkePHoX2uXnzJhs3buT69etv3c5WlUrF559/ztmzZ0s6FADKly//ViXUhRBCCCGEEEKIwkhCWAghSoC7uzt37tzh008/xcnJ6bntdXR0iIyMJDQ0FLVaTe3atdm3b59SH7gg5cuXp1y5cnz++eeUKVPmZYb/Wri5uRX50LzXafTo0SUdghBCCCGEEEII8VJIDWFR4po1a8aIESOU9w4ODixatOiVzvE6BAUFPbcu7LNrValUbN++/aXG8Squ58vwMtYaGRmJhYXFS4nnVUpOTkalUhEfH69xLD09ndDQUOVYYmIi1tbW3Lt3L98YdnZ2xMXFkZ6eTkZGBocOHaJJkyZFzqtWq7l582aRu4jfFitXrsTPz++57Zo1a4ZKpcp3vZ8nMjJS6fe6/68QQgghhBBCCCFeJ0kIizfOsWPHGDBgQEmHUSLS0tJo06ZNSYchSsiECRMYOnQopqamADx8+JCgoCDq1KlDqVKlCv0Dw/r163F1dcXIyAgbGxv69u3LrVu3Cp3n9u3bDB06FCcnJwwNDbG3t2fYsGGkp6fna3vlyhUMDQ3JzMzk/PnzdO7cGQcHB1QqVYF/aMjJyWHSpElUqVIFQ0NDqlWrxvTp0ymqXP2tW7do3bo1FStWRF9fHzs7O0JCQsjIyFDa9O3bl5MnT3LgwIFCx8nTv39/0tLSqF27NgCnT5+me/fu2NnZYWhoiLOzM4sXL9bo07VrV9LS0vDy8so3XnJycqEPGRRCCCGEEEIIId42UjJCvHGsrKxKOoQSY21tXdIhiGLKzs6mdOnS/3iclJQUdu7cydKlS5VjOTk5GBoaMmzYMKKjowvsFxcXR+/evVm4cCF+fn5cu3aNgQMH0r9/f7Zu3Vpgn9TUVFJTUwkPD6dWrVpcuXKFgQMHkpqayjfffKPR9ttvv6V58+aYmJjw4MEDqlatSpcuXRg5cmSBY3/66aesWLGCqKgoXFxcOH78OH369MHc3Jxhw4YV2EdHR4cOHTowY8YMrKysuHTpEkOGDOH27dts2LABAD09PXr06MGSJUto3LhxkdfSyMhI42fpxIkTlC9fnq+++go7OzsOHTrEgAED0NXVJSQkBABDQ0MMDQ3R09NT+q1fv5533nkHXV1d4MmO6+XLl9OjR4+3sgSHEHkcxu8q6RBECUqe066kQxBCCCGEECVMdgiLN05BZRTWrFlDx44dMTIyokaNGuzYsUOjz/79+/H09ERfXx8bGxvGjx/P48ePC50jKyuL0NBQbG1tMTY2pmHDhsTGxmq0iY6OxsXFBX19fRwcHJg/f75ybtq0acruw6e5ubkxadKkF1s4mmUU8soMbN26lebNm2NkZISrqyuHDx/WOs6C3L17l+DgYKysrDAzM6NFixacPn1aOR8WFoabmxvr1q3DwcEBc3NzunXrplHGICsri2HDhlG+fHkMDAx49913OXbsGPAkaVa9enXCw8M15o2Pj0elUnHp0iWtr8eOHTuoUaMGBgYGNG/enKioKFQqFXfv3s3XNjk5GR0dHY4fP65xfNGiRVSuXJnc3FwAzp8/T/v27TEzM8PU1JTGjRuTlJSktF+zZg3Ozs4YGBhQs2ZNjQe+5d2TTZs20bRpUwwMDFi/fj25ublMmzaNSpUqoa+vj5ubG3v27NF6nQCbN2/G1dUVW1tb5ZixsTErVqygf//+hf6x4PDhwzg4ODBs2DCqVKnCu+++y0cffcTRo0cLnat27dpER0fj5+dHtWrVaNGiBTNnzuS7777L93Pz7bff8v777wPQoEED5s2bR7du3dDX1y9w7EOHDtGhQwfatWuHg4MDH3zwAa1atSoynjJlyjBo0CA8PDyoXLkyPj4+DB48ON9uYD8/P3bs2MHff/9d6FgF6du3L4sXL6Zp06ZUrVqVDz/8kD59+hSaMM9TpUoVAgMDWblyJX/++SetW7fm2rVrha5dCCGEEEIIIYR4G0hCWLwVpk6dSkBAAGfOnKFt27b07NmT27dvA3Dt2jXatm1LgwYNOH36NCtWrOCLL75gxowZhY4XEhLC4cOH2bhxI2fOnKFLly60bt2aixcvAk92FAYEBNCtWzfOnj1LWFgYkyZNIjIyEniSYEpISFCSoACnTp3izJkz9OnT56WufeLEiYSGhhIfH4+joyPdu3dXknbPi7MgXbp04caNG3z//fecOHGCevXq4ePjo1xPgKSkJLZv387OnTvZuXMn+/fvZ86cOcr5sWPHEh0dTVRUFCdPnqR69er4+vpy+/ZtVCoVffv2JSIiQmPeiIgImjRpQvXq1bVa9+XLl/nggw/w9/fn9OnTfPTRR0ycOLHQ9g4ODrRs2bLAeYOCgtDR0eHatWs0adIEfX19fvrpJ06cOEHfvn2V67l+/XomT57MzJkzSUhIYNasWUyaNImoqCiNMcePH8/w4cNJSEjA19eXxYsXM3/+fMLDwzlz5gy+vr68//77yudJGwcOHMDDw0Pr9nm8vLy4evUqu3fvRq1W89dff/HNN9/Qtm1bpU1sbCwqlYrk5ORCx0lPT8fMzIxSpf7viyN3797l4MGDSkJYG40aNSImJobff/8deFKu4eDBgxqlUMLCwnBwcCh0jNTUVLZu3UrTpk01jnt4ePD48WOOHDmidTyFSU9Px9LSssg2jRo14ueff+bw4cPExsYyYsQIZs2ahZGRUYHts7KyyMjI0HgJIYQQQgghhBBvGkkIi7dCUFAQ3bt3p3r16syaNYvMzExlx+Hy5cuxs7Nj2bJl1KxZE39/f6ZOncr8+fOVXaFPS0lJISIigi1bttC4cWOqVatGaGgo7777rpJMXLBgAT4+PkyaNAlHR0eCgoIICQlh3rx5AFSqVAlfX1+N5GNERISyA/FlCg0NpV27djg6OjJ16lSuXLmi7LJ9XpzPOnjwIEePHmXLli14eHhQo0YNwsPDsbCw0CgVkJubS2RkJLVr16Zx48b06tWLmJgYAO7fv8+KFSuYN28ebdq0oVatWqxevRpDQ0O++OIL4Mn9SkxMVO5RdnY2GzZsoG/fvlqve9WqVTg5OTFv3jycnJzo1q3bc+u4BgcH8/XXX5OVlQXAyZMnOXv2rJKk/+yzzzA3N2fjxo14eHjg6OhInz59cHJyAmDKlCnMnz+fTp06UaVKFTp16sTIkSNZtWqVxjwjRoxQ2tjY2BAeHs64cePo1q0bTk5OfPrpp7i5uRXrYX5XrlyhYsWKWrfP4+3tzfr16+natSt6enpYW1tjbm7OZ599prQxMjLCycmp0NIW//vf/5g+fXq+2t27d++mbt26xYpr/PjxdOvWjZo1a1K6dGnc3d0ZMWIEPXv2VNqUK1eOatWq5evbvXt3jIyMsLW1xczMjDVr1micNzIywtzcnCtXrmgdT0EOHTrEpk2bnlur/MiRI/j4+ODl5UWzZs1YtGgRkydP5uHDhwW2nz17Nubm5srLzs7uH8UphBBCCCGEEEK8CpIQFm+FunXrKv82NjbGzMyMGzduAJCQkICXlxcqlUpp4+3tTWZmJn/++We+sc6ePUtOTg6Ojo6YmJgor/379yulAxISEvD29tbo5+3tzcWLF8nJyQGePLjq66+/5uHDhzx69KjIhOf69es15tLmwVgFrd3GxgZAY+3Pi/Npp0+fJjMzk7Jly2rEc/nyZY2yCQ4ODsqDzfLmzZszKSmJ7OxsjXlLly6Np6cnCQkJAFSsWJF27drx5ZdfAvDdd9+RlZVFly5dClxjmzZtlFhcXFwASExMpEGDBhrtPD09i7pU+Pv7o6ury7Zt2wCIjIykefPmym7U+Ph4GjduXGBi9P79+yQlJdGvXz+NazNjxgyNawNo7OTNyMggNTW1wPuQdz208ffff2NgYKB1+zwXLlxg+PDhTJ48mRMnTrBnzx6Sk5MZOHCg0sbT05PffvtNoxzF0/G3a9eOWrVqERYWpnHu6XIR2tq8eTPr169nw4YNnDx5kqioKMLDwzV2WYeEhCh/YHjawoULOXnyJN9++y1JSUmMGjUqXxtDQ0MePHhQrJiedu7cOTp06MCUKVNo1apVkW0vXrxIREQEAwcOpFKlSuzZs4cKFSoUOv+ECRNIT09XXlevXn3hOIUQQgghhBBCiFdFHion3grPJvBUKlWBu3+1kZmZia6uLidOnFAeFpXHxMRE63H8/PzQ19dn27Zt6OnpkZ2dzQcffFBg2/fff5+GDRsq7wtKzBXm6bXnJb3/ydptbGzy1UsGsLCwKHDOvHmLO2dwcDC9evVi4cKFRERE0LVr10K/ar9mzRqlLuw/eUCbnp4evXv3JiIigk6dOrFhwwYWL16snDc0NCy0b2ZmJgCrV6/WuFdAvs+JsbHxC8dYmHLlynHnzp1i95s9ezbe3t6MGTMGePIHBGNjYxo3bsyMGTOUPyIU5N69e7Ru3RpTU1O2bdumce0fPXrEnj17+Pjjj4sVz5gxY5RdwgB16tThypUrzJ49m8DAwCL7WltbY21tTc2aNbG0tKRx48ZMmjRJYw23b99+4QdPXrhwAR8fHwYMGMAnn3zy3PYffvghgFJqQ6VSMWTIkELb6+vrS31hIYQQQgghhBBvPEkIi7ees7Mz0dHRqNVqJWEaFxeHqakplSpVytfe3d2dnJwcbty4QePGjQsdMy4uTuNYXFwcjo6OSnKwVKlSBAYGEhERgZ6eHt26dSs04Whqaqqx4/Zl0SbOp9WrV4/r169TqlSpImu4FqVatWro6ekRFxdH5cqVgSclIY4dO8aIESOUdm3btlUeirZnzx5++eWXQscsKEHu5OTE7t27NY49XbO5MMHBwdSuXZvly5fz+PFjOnXqpJyrW7cuUVFRZGdn50s8V6hQgYoVK/LHH39olDd4HjMzMypWrEhcXJxGzdu4uLjn7mh+mru7OxcuXNC6fZ4HDx5o1P2F/0tgq9XqQvtlZGTg6+uLvr4+O3bsyLc7OTY2ljJlyuDq6lrseHR0NL98oqurW+w/KOS1zyv/AU92pz98+BB3d/dijQVPHibYokULAgMDmTlzZrH6Ojg4FFmXWwghhBBCCCGEeJtIQli89QYPHsyiRYsYOnQoISEhJCYmMmXKFEaNGpUvMQXg6OhIz5496d27N/Pnz8fd3Z2bN28SExND3bp1adeuHaNHj6ZBgwZMnz6drl27cvjwYZYtW8by5cs1xgoODsbZ2RkgX2L2ddA2zjwtW7bEy8sLf39/5s6di6OjI6mpqezatYuOHTtq9VAzY2NjBg0axJgxY7C0tMTe3p65c+fy4MED+vXrp7TT1dUlKCiICRMmUKNGDby8vIq1to8++ogFCxYwbtw4+vXrR3x8vJKUe7o8yLOcnZ155513GDduHH379tVI0oeEhLB06VK6devGhAkTMDc359dff8XT0xMnJyemTp3KsGHDMDc3p3Xr1mRlZXH8+HHu3LlTYPmCPGPGjGHKlClUq1YNNzc3IiIiiI+PZ/369Vqv19fXl+DgYHJycjSS+RcuXODRo0fcvn2be/fuER8fD4CbmxvwZKd6//79WbFiBb6+vqSlpTFixAg8PT2V2r9Hjx6ld+/exMTEYGtrS0ZGBq1ateLBgwd89dVXGg9As7KyQldXlx07duQrF/Ho0SMlaf3o0SOuXbtGfHw8JiYmysMC/fz8mDlzJvb29ri4uHDq1CkWLFigUU5l2bJlbNu2TSkbsXv3bv766y8aNGiAiYkJ58+fZ8yYMXh7e2v84eLAgQNUrVq1wPrDRTl37hwtWrTA19eXUaNGcf36deDJZ/RFdxsL8TZLntOupEMQQgghhBBClCBJCIu3nq2tLbt372bMmDG4urpiaWlJv379ivxKeEREBDNmzGD06NFcu3aNcuXK8c4779C+fXvgyU7azZs3M3nyZKZPn46NjQ3Tpk3L91CzGjVq0KhRI27fvp2vzMDroG2ceVQqFbt372bixIn06dOHmzdvYm1tTZMmTahQoYLW886ZM4fc3Fx69erFvXv38PDw4IcffqBMmTIa7fr168esWbOUh7oVR5UqVfjmm28YPXo0ixcvxsvLi4kTJzJo0KDnfi2/X79+HDp0KF9N57Jly/LTTz8xZswYmjZtiq6uLm5ubkr93+DgYIyMjJg3bx5jxozB2NiYOnXqaOx8LsiwYcNIT09n9OjR3Lhxg1q1arFjxw5q1Kih9XrbtGlDqVKl2LdvH76+vsrxtm3bajxELW93bN7u36CgIO7du8eyZcsYPXo0FhYWtGjRgk8//VTp8+DBAxITE8nOzgaePGzvyJEjAEoiN8/ly5dxcHBgx44dSg3oPKmpqRq7c8PDwwkPD6dp06ZKGZKlS5cyadIkBg8ezI0bN6hYsSIfffQRkydPVvr973//06jLbGhoyOrVqxk5ciRZWVnY2dnRqVMnxo8frzH/119/Tf/+/bW8ov/nm2++4ebNm3z11Vd89dVXyvHKlSsr5SCEEEIIIYQQQoj/CpW6qO8UCyGKpFarqVGjBoMHDy5yB+l/1YEDB/Dx8eHq1avFSjgXZubMmaxcufK5D+uaPn06W7Zs4cyZM/94ztfps88+Y8eOHfzwww8lGsfJkydp0aIFN2/e/Ec1nV+mvJIPv//+O+bm5oW2a9asGW5ubixatOiF5vmn/Z+WkZGBubk56enpmJmZ/ePxhBBCCCGEEEKIomj7e2j+79MLIbRy8+ZNli1bxvXr119oB+y/WVZWFn/++SdhYWF06dLlhZPBy5cv59ixY/zxxx+sW7eOefPmFflgsszMTM6dO8eyZcsYOnToi4ZfYj766COaNGnCvXv3SjSOx48fs3Tp0jcmGQyQlpbG2rVri0wG51m+fDkmJiacPXtW6/HXr1+PiYkJBw4c+CdhCiGEEEIIIYQQbzzZISzEC1KpVJQrV47FixfTo0ePkg7njRIZGUm/fv1wc3Njx44dBT40ThsjR45k06ZN3L59G3t7e3r16sWECRPyPUQtT1BQEF9//TX+/v5s2LChwAfriX+3a9eu8ffffwNgb2+Pnp6eVv3u3bvHX3/9BYCFhQXlypX7x7HIDmEhhBBCCCGEEK+Ttr+HSkJYCCH+Q5KTk6lSpQqnTp1SHkz3rMjISEaMGMHdu3df+vyvcuyCaLNebcTGxtK8eXPu3LmDhYWFVn0kISyEEEIIIYQQ4nWSkhFCCCFeSNeuXfn999/furELYmdnR1paGrVr1waeJHZVKtVrS0gLIYQQQgghhBBvmoK/dy2EEOI/y9DQEENDw0LPP3r0SOtSDMUd+2XT1dXF2tr6tc0nhBBvOofxuwo8njyn3WuORAghhBBClBTZISyEEP9Cubm5zJ07l+rVq6Ovr4+9vT0zZ85Uzv/xxx80b94cIyMjXF1dOXz4sHIuMjJSoyxCWFgYbm5urFmzhipVqmBgYABASkoKHTp0wMTEBDMzMwICApQ6vIUpbOx169bh4OCAubk53bp103iwXlZWFsOGDaN8+fIYGBjw7rvvcuzYMeX8nTt36NmzJ1ZWVhgaGlKjRg0iIiKAJyUjVCoV8fHxJCcn07x5cwDKlCmDSqUiKChIqzmEEEIIIYQQQoh/C0kICyHEv9CECROYM2cOkyZN4sKFC2zYsIEKFSoo5ydOnEhoaCjx8fE4OjrSvXt3Hj9+XOh4ly5dIjo6mq1btxIfH09ubi4dOnTg9u3b7N+/n7179/LHH3/QtWvXYsealJTE9u3b2blzJzt37mT//v3MmTNHOT927Fiio6OJiori5MmTVK9eHV9fX27fvg2grPH7778nISGBFStWFPhQODs7O6KjowFITEwkLS2NxYsXazWHNrKyssjIyNB4CSGEEEIIIYQQbxopGSGEEP8y9+7dY/HixSxbtozAwEAAqlWrxrvvvktycjIAoaGhtGv35OvBU6dOxcXFhUuXLlGzZs0Cx3z06BFr167FysoKgL1793L27FkuX76MnZ0dAGvXrsXFxYVjx47RoEEDrePNzc0lMjISU1NTAHr16kVMTAwzZ87k/v37rFixgsjISNq0aQPA6tWr2bt3L1988QVjxowhJSUFd3d3PDw8AHBwcChwHl1dXSwtLQEoX768slNZmzm0MXv2bKZOnar1uoUQQgghhBBCiJIgO4SFEOJfJiEhgaysLHx8fAptU7duXeXfNjY2ANy4caPQ9pUrV1aSwXlz2NnZKclggFq1amFhYUFCQgIALi4umJiYYGJioiRaC+Lg4KAkg/PiyYslKSmJ7OxsvL29lfOlS5fG09NTmWfQoEFs3LgRNzc3xo4dy6FDhwqdqyDazKGNCRMmkJ6erryuXr1arDiEEEIIIYQQQojXQXYICyHEv4w2D20rXbq08m+VSgU82albGGNj42LHsXv3brKzs58b09Ox5MVTVCzPatOmDVeuXGH37t3s3bsXHx8fhgwZQnh4eLFj/if09fXR19d/rXMKIYQQQgghhBDFJTuEhRDiX6ZGjRoYGhoSExPzyuZwdnbm6tWrGrtgL1y4wN27d6lVqxbwZFdx9erVqV69Ora2ti80T7Vq1dDT0yMuLk45lp2dzbFjx5R5AKysrAgMDOSrr75i0aJFfP755wWOp6enB0BOTk6x5xBCCCGEEEIIIf4NZIewEEL8yxgYGDBu3DjGjh2Lnp4e3t7e3Lx5k/PnzxdZRqI4WrZsSZ06dejZsyeLFi3i8ePHDB48mKZNmyq1fF8GY2NjBg0axJgxY7C0tMTe3p65c+fy4MED+vXrB8DkyZOpX78+Li4uZGVlsXPnTpydnQscr3LlyqhUKnbu3Enbtm0xNDTExMTkuXMIIcS/RfKcdiUdghBCCCGEKGGSEBZCiH+hSZMmUapUKSZPnkxqaio2NjYMHDjwpY2vUqn49ttvGTp0KE2aNEFHR4fWrVuzdOnSlzZHnjlz5pCbm0uvXr24d+8eHh4e/PDDD5QpUwZ4sut3woQJJCcnY2hoSOPGjdm4cWOBY9na2jJ16lTGjx9Pnz596N27N5GRkc+dQwghhBBCCCGE+LdQqdVqdUkHIYQQQvzbZGRkYG5uTnp6OmZmZiUdjhBCCCGEEEKIfzltfw+VGsJCCCGEEEIIIYQQQgjxHyEJYSGEEEIIIYQQQgghhPiPkITwWyQyMhILC4ti9QkKCsLf3/+VxPOqqFQqtm/fXtJhvHEcHBxYtGiR1u2Tk5NRqVTEx8e/spj+iWbNmjFixIiSDqNIz/7MhYWF4ebmpnX/N/0evGrP3uMHDx7QuXNnzMzMUKlU3L1797XHlJiYiLW1Nffu3dO6z/jx4xk6dOgrjEoIIYQQQgghhHh9JCH8moSFhaFSqTReNWvWLOmw/rNeZ9L51q1btG7dmooVK6Kvr4+dnR0hISFkZGS8lvlftocPHxIUFESdOnUoVapUgX9wCAoKyvd5V6lUuLi4vNRYXuSPJP9EaGgoMTExr22+f5uoqCgOHDjAoUOHSEtLw9zc/Ll9YmNjX2ryeMKECQwdOhRTU1Nl/A4dOmBjY4OxsTFubm6sX79eo09oaChRUVH88ccfLyUGIYQQQgghhBCiJJUq6QD+S1xcXNi3b5/yvlQpufwvIjs7m9KlS5d0GFrT0dGhQ4cOzJgxAysrKy5dusSQIUO4ffs2GzZsKOnwii0nJwdDQ0OGDRtGdHR0gW0WL17MnDlzlPePHz/G1dWVLl26vK4wXwkTExNMTExKOoy3VlJSEs7OztSuXbtE5k9JSWHnzp0sXbpUOXbo0CHq1q3LuHHjqFChAjt37qR3796Ym5vTvn17AMqVK4evry8rVqxg3rx5JRK7EEK8LA7jd5V0CK9U8px2JR2CEEIIIcQbT3YIv0alSpXC2tpaeZUrV07j/IIFC6hTpw7GxsbY2dkxePBgMjMzCx0v7+vrq1atws7ODiMjIwICAkhPT8/XNjw8HBsbG8qWLcuQIUPIzs5Wzq1btw4PDw9MTU2xtramR48e3Lhxo8i13Lp1i+7du2Nra4uRkRF16tTh66+/1mjTrFkzhg0bxtixY7G0tMTa2pqwsDCNNhcvXqRJkyYYGBhQq1Yt9u7dq3E+7yv3mzZtomnTphgYGLB+/Xpyc3OZNm0alSpVQl9fHzc3N/bs2aP0e/ToESEhIdjY2GBgYEDlypWZPXs28KT0AkDHjh1RqVTK+6SkJDp06ECFChUwMTGhQYMGGgn8vL6zZs2ib9++mJqaYm9vz+eff17ktSpTpgyDBg3Cw8ODypUr4+Pjw+DBgzlw4IDSRpu5n6VSqVixYgVt2rTB0NCQqlWr8s033+Rr98cff9C8eXOMjIxwdXXl8OHDyjlt7uOzjI2NWbFiBf3798fa2rrANubm5hqf9ePHj3Pnzh369Omj0e7x48eEhIRgbm5OuXLlmDRpEmq1WjmflZVFaGgotra2GBsb07BhQ2JjY4EnOzv79OlDenq6sgM57/P1Ip9peLLj2N7eHiMjIzp27MitW7c0zj9bMuJ5n0NtODg4MGPGDHr37o2JiQmVK1dmx44d3Lx5kw4dOmBiYkLdunU5fvy4Rr/o6GhcXFzQ19fHwcGB+fPn5xv3eZ/Vs2fP0qJFCwwNDSlbtiwDBgzQ+D8nNjYWT09PjI2NsbCwwNvbmytXrgAFl6MZMWIEzZo1K3CdzZo1Y/78+fzyyy+oVCqlXVH3Kjk5mebNmwNPfo5UKhVBQUHAk2s/e/ZsqlSpgqGhIa6urgV+/p+2efNmXF1dsbW1VY59/PHHTJ8+nUaNGlGtWjWGDx9O69at2bp1q0ZfPz8/Nm7cWOT4QgghhBBCCCHE20ASwq/RxYsXqVixIlWrVqVnz56kpKRonNfR0WHJkiWcP3+eqKgofvrpJ8aOHVvkmJcuXWLz5s1899137Nmzh1OnTjF48GCNNj///DNJSUn8/PPPREVFERkZSWRkpHI+Ozub6dOnc/r0abZv305ycrKSdCnMwxpOdVwAAQAASURBVIcPqV+/Prt27eLcuXMMGDCAXr16cfToUY12UVFRGBsbc+TIEebOncu0adOUpG9ubi6dOnVCT0+PI0eOsHLlSsaNG1fgfOPHj2f48OEkJCTg6+vL4sWLmT9/PuHh4Zw5cwZfX1/ef/99Ll68CMCSJUvYsWMHmzdvJjExkfXr1yuJ32PHjgEQERFBWlqa8j4zM5O2bdsSExPDqVOnaN26NX5+fvnu0/z58/Hw8FCu9aBBg0hMTCzyej0tNTWVrVu30rRpU+WYtnM/a9KkSXTu3JnTp0/Ts2dPunXrRkJCgkabiRMnEhoaSnx8PI6OjnTv3p3Hjx8D2t/Hf+qLL76gZcuWVK5cWeN4VFQUpUqV4ujRoyxevJgFCxawZs0a5XxISAiHDx9m48aNnDlzhi5dutC6dWsuXrxIo0aNWLRoEWZmZqSlpZGWlkZoaCjwYp/pI0eO0K9fP0JCQoiPj6d58+bMmDGjyD7P+xxqa+HChXh7e3Pq1CnatWtHr1696N27Nx9++CEnT56kWrVq9O7dW0mWnzhxgoCAALp168bZs2cJCwtj0qRJGj/XUPRn9f79+/j6+lKmTBmOHTvGli1b2LdvHyEhIcCTZL2/vz9NmzblzJkzHD58mAEDBqBSqYq1tjxbt26lf//+eHl5kZaWpiRci7pXdnZ2yi70xMRE0tLSWLx4MQCzZ89m7dq1rFy5kvPnzzNy5Eg+/PBD9u/fX2gMBw4cwMPD47mxpqenY2lpqXHM09OTP//8k+Tk5EL7ZWVlkZGRofESQgghhBBCCCHeNCr109vxxCvz/fffk5mZiZOTE2lpaUydOpVr165x7tw5pZbls7755hsGDhzI//73P+DJ7sURI0YotTTDwsKYMWMGV65cUXa87dmzh3bt2nHt2jWsra0JCgoiNjaWpKQkdHV1AQgICEBHR6fQ3W7Hjx+nQYMG3Lt3r1hfj2/fvj01a9YkPDwceLIjMCcnR2MnrKenJy1atGDOnDn8+OOPtGvXjitXrlCxYkUl/jZt2rBt2zb8/f1JTk6mSpUqLFq0iOHDhyvj2NraMmTIED7++GONsRs0aMBnn33GsGHDOH/+PPv27SswgaVSqZQ5ilK7dm0GDhyoJMkcHBxo3Lgx69atA0CtVmNtbc3UqVMZOHBgkWN1796db7/9lr///hs/Pz82b96MgYFBseYeMWKE8pAulUrFwIEDWbFihdLnnXfeoV69eixfvly5dmvWrKFfv34AXLhwARcXFxISEgqtYf3sfSxKUFAQd+/eLbIec2pqKvb29mzYsIGAgADleLNmzbhx4wbnz59X7tH48ePZsWMHFy5cICUlhapVq5KSkqJ8PgBatmyJp6cns2bNyvczURhtPtM9evQgPT2dXbv+76u03bp1Y8+ePRo/c9u3b1ceEve8z2HePTh16lShD6N79jN1/fp1bGxsmDRpEtOmTQPg119/VRKp1tbW9OzZk5s3b/Ljjz8q44wdO5Zdu3Zx/vz5Asd99rO6evVqxo0bx9WrVzE2NgZg9+7d+Pn5kZqaSunSpSlbtiyxsbEaf7zIU9C9HzFiBPHx8cou7mbNmuHm5qY8DPHZ8wV59l7FxsbSvHlz7ty5o9SLzsrKwtLSkn379uHl5aX0DQ4O5sGDB4WWYnFzc6Nz585MmjSp0Pk3b95Mr169OHnypEbN64yMDMzNzQu9HvDk8zF16tR8x9PT0zEzMyt0TiGEeJ2kZIQQQgghxL9X3u+uz/s9VHYIvyZt2rShS5cu1K1bF19fX3bv3s3du3fZvHmz0mbfvn34+Phga2uLqakpvXr14tatWzx48KDQce3t7TW+/uzl5UVubq7GjlUXFxclGQxgY2Oj8fX5EydO4Ofnh729PaampkqyI293qouLi1I7tU2bNsCTOrLTp0+nTp06WFpaYmJiwg8//JBvR2vdunU13j89d0JCAnZ2dhrJvqeTO097eldfRkYGqampeHt7a7Tx9vZWdscGBQURHx+Pk5MTw4YN00icFSYzM5PQ0FCcnZ2xsLDAxMSEhISEItekUqmwtrZW1tSmTRvlWj37ALWFCxdy8uRJvv32W5KSkhg1alSx537Ws9fLy8sr3w7hp+O1sbEBUOLV9j7+E1FRUVhYWBSYfH/nnXc0EvZeXl5cvHiRnJwczp49S05ODo6Ojso1NTExYf/+/SQlJRU554t8phMSEmjYsKHGOIV9HkG7z6G2nr5HFSpUAKBOnTr5jj39s1PQvHnXrqBxn/2sJiQk4OrqqiSD88bI+//D0tKSoKAgfH198fPzY/HixaSlpRVrXdp43r0qyKVLl3jw4P+xd+/xPdf//8dv7212PhnDZLaxYRjmlLM5NWHlFEmYUyTJYWGVw4hJ+DRURNn4iOSUkNMysZDTlCyHZeZTK+WwGTVs+/3h5/X1to05jrpfL5f35bLX6/U8PF7P9ztd3o8993hdolWrVmafjYULF97ys/HXX3/d8pcwW7dupXfv3sybNy/Xf792dnYAt/z3ODw8nLS0NON16tSpfNuKiIiIiIiIFBY91ayQuLq6UqFCBY4fPw5cq5XZrl07Xn75ZSZNmoSbmxs7duygb9++XL58GXt7+7ue6+YHsJlMJrKzs4H/+7Px4OBgFi9ejLu7OykpKQQHB3P58mXg2q7B6zWHrydF3n33XaKionjvvfeMusdDhw41+hRk7jtxY9KqIGrWrMmJEyf46quv2LJlC126dKFly5a3rDEaFhbG5s2bmTZtGr6+vtjZ2dG5c+c7uqf58+fz119/5dnuej3dSpUq4ebmRuPGjRkzZgweHh4Fnvtu3BjH9eTr9XgL+j7erZycHD755BN69OiBtbX1HfXNyMjA0tKSffv2mf1CA7jlzvW7/UwXprzeo1u9b3cz7vVx7mSMBQsWMGTIEDZs2MBnn33GW2+9xebNm6lXrx4WFhbc/AcmN9YmL4iCvFd5uV7neN26dWa/EAOwsbHJt1/x4sU5d+5cnte2bdtGSEgI//nPf+jZs2eu62fPngXA3d093/FtbGxuOb+IiIiIiIjIo0AJ4UKSkZFBUlISPXr0AK7tksvOzmb69OlYWFzbuH3j7uH8pKSk8Ouvvxq7bHft2oWFhQUVK1YsUBw//fQTZ86cYcqUKXh6egLkenjVzXVfAeLj43n22Wd58cUXgWuJqqNHj1K5cuUCzQvg7+/PqVOnSE1NNXau7tq167b9nJ2dKV26NPHx8WZ/uh0fH0/dunXN2nXt2pWuXbvSuXNnWrduzdmzZ3Fzc6NIkSJmOymv9w8NDaVDhw7AtffoVvVC83Jzcio/15NymZmZ9zT3rl27zJJXu3btIjAwsMDx3o/38Va2bdvG8ePHjZIVN9u9e7fZ8a5du/Dz88PS0pLAwECysrI4ffo0jRs3zrO/tbV1rvfxbj/T/v7+ecaTn4J+Dh8Ef39/4uPjzc7Fx8dToUKFXMnzW40RHR3NxYsXjV+4xMfH5/r3IzAwkMDAQMLDw6lfvz6ffvop9erVw93dnUOHDpmNmZCQkCsJfSsFea+u/yLhxve5cuXK2NjYkJKSkm/5hrwEBgZy+PDhXOfj4uJo164d77zzDi+99FKefQ8dOkSRIkVy7RwWEXncqKSCiIiIiKhkxEMSFhbGtm3bSE5O5ttvv6VDhw5YWlrSrVs3AHx9fbly5QqzZs3i559/ZtGiRcyZM+e249ra2tKrVy8OHjzI9u3bGTJkCF26dKFUqVIFiqts2bJYW1sb865Zs4aJEyfetp+fnx+bN2/m22+/JTExkQEDBvD7778XaM7rWrZsSYUKFczif/PNNwvU9/XXX+edd97hs88+48iRI4wePZqEhASjzvCMGTNYsmQJP/30E0ePHuXzzz+nVKlSRg1Sb29vYmNj+e2334wdg35+fqxcuZKEhAQOHjzICy+8cFe7mW+2fv16FixYwKFDh0hOTmbdunUMHDiQhg0bGg+6u9u5P//8cz755BOOHj3KuHHj+O6774yawwVxt+/j4cOHSUhI4OzZs6SlpZGQkGDU1b3Rxx9/zJNPPknVqlXzHCclJYXhw4dz5MgRlixZwqxZs4z3sEKFCnTv3p2ePXuycuVKTpw4wXfffUdkZKRR59fb25uMjAxiY2P5888/uXTp0l1/pq/vhJ02bRrHjh1j9uzZbNiw4ZZ9bvc5fFBGjBhBbGwsEydO5OjRo8TExDB79mzjoXoF0b17d+Pfj0OHDrF161ZeffVVevToQcmSJTlx4gTh4eHs3LmTkydPsmnTJo4dO4a/vz8AzZs3Z+/evSxcuJBjx44xbty4XAni2ynIe+Xl5YXJZGLt2rX88ccfZGRk4OTkRFhYGMOGDSMmJoakpCT279/PrFmziImJyXe+4OBgdu7caZZc3rp1K23btmXIkCF06tSJ3377jd9++83YEXzd9u3bady48SOxo1xERERERETkXigh/JD873//o1u3blSsWJEuXbpQrFgxdu3aZfz5cfXq1ZkxYwbvvPMOVatWZfHixURGRt52XF9fXzp27EibNm146qmnqFatGh988EGB43J3dyc6OprPP/+cypUrM2XKlAI9TOytt96iZs2aBAcHExQURKlSpW77gLabWVhYsGrVKv766y/q1q1Lv379mDRpUoH6DhkyhOHDhzNixAgCAgLYsGEDa9aswc/PDwAnJyemTp1K7dq1qVOnDsnJyaxfv97YfT19+nQ2b96Mp6ensaN2xowZFC1alAYNGhASEkJwcDA1a9a8o3vKi52dHfPmzaNRo0b4+/szbNgwnnnmGdauXWu0udu5IyIiWLp0KdWqVWPhwoUsWbLkjnb3FuR9jI6OzvVgvjZt2hAYGMiXX35JXFycsYv0RmlpaaxYsSLf3cEAPXv2NN7/V155hddee81sh+aCBQvo2bMnI0aMoGLFirRv3549e/ZQtmxZABo0aMDAgQPp2rUr7u7uTJ069a4/0/Xq1WPevHlERUVRvXp1Nm3axFtvvXXLPrf7HD4oNWvWZNmyZSxdupSqVasyduxYJkyYQGhoaIHHsLe3Z+PGjZw9e5Y6derQuXNnWrRowezZs43rP/30E506daJChQq89NJLvPLKKwwYMAC4llwdM2YMI0eONB4Cl1ephVspyHv1xBNPEBERwejRoylZsqTxC4+JEycyZswYIiMj8ff3p3Xr1qxbtw4fH59853v66aexsrJiy5YtxrmYmBguXbpEZGQkHh4exqtjx45mfZcuXUr//v3v6P5EREREREREHkWmnJuLQMpjY/z48axevTrPnZnyz2cymVi1atUdJ+Lv1Lhx49i2bRtxcXEPdB6Rh+H9999nzZo1bNy4scB9vvrqK0aMGMH333+PlVXBKy0V9OmuIiIiIiIiIvdDQb+HqoawiNzSV199ZewaFXncDRgwgPPnz3PhwgWcnJwK1OfixYssWLDgjpLBIiIiIiIiIo8qlYwQkVv67rvvHvhD0kTulslkYvXq1cbxTz/9RL169bC1taVGjRq52ltZWfHmm28WOBkM0LlzZ5588sn7EK2IiIiIiIhI4VNC+DE2fvx4lYv4F8vJyXng5SL+jYKCghg6dOh9HTM0NPS+v1fjx4/PM+H5bzdu3DgcHBw4cuQIsbGxBeqjtRQREREREZF/EyWERUT+xS5fvlzYIdxXSUlJNGrUCC8vL4oVK1bY4YiIiIiIiIg8cpQQFhH5/0JDQ9m2bRtRUVGYTCZMJhPJyckAHDp0iKeffhpHR0dKlixJjx49+PPPP42+y5cvJyAgADs7O4oVK0bLli25ePEi48ePJyYmhi+++MIY8/oD+n744QeaN29u9HnppZfIyMgwxoyLi6Nu3bo4ODjg6upKw4YNOXnyJNHR0URERHDw4EFjzOjoaADOnz9Pv379cHd3x9nZmebNm3Pw4EFjzOu7YefPn4+Pjw+2trYApKSk8Oyzz+Lo6IizszNdunTh999/z9Vv0aJFeHt74+LiwvPPP8+FCxeMNtnZ2URGRuLj44OdnR3Vq1dn+fLlt1zzDz74AD8/P2xtbSlZsiSdO3c2rnl7e/Pee++Zta9Rowbjx4/PcyyTycS+ffuYMGECJpPJaDdq1CgqVKiAvb095cqVY8yYMVy5cgXgntZSRERERERE5HGkJ+SIiPx/UVFRHD16lKpVqzJhwgQA3N3dOX/+PM2bN6dfv3785z//4a+//mLUqFF06dKFr7/+mtTUVLp168bUqVPp0KEDFy5cYPv27eTk5BAWFkZiYiLp6eksWLAAADc3Ny5evEhwcDD169dnz549nD59mn79+jF48GCio6O5evUq7du3p3///ixZsoTLly/z3XffYTKZ6Nq1K4cOHWLDhg1s2bIFABcXFwCee+457Ozs+Oqrr3BxcWHu3Lm0aNGCo0eP4ubmBsDx48dZsWIFK1euxNLSkuzsbCMZvG3bNq5evcorr7xC165djeQ1XNt9u3r1atauXcu5c+fo0qULU6ZMYdKkSQBERkby3//+lzlz5uDn58c333zDiy++iLu7O02bNs213nv37mXIkCEsWrSIBg0acPbsWbZv337X719qaiotW7akdevWhIWF4ejoCICTkxPR0dGULl2aH374gf79++Pk5MTIkSPveS1FREREREREHjdKCIuI/H8uLi5YW1tjb29PqVKljPOzZ88mMDCQyZMnG+c++eQTPD09OXr0KBkZGVy9epWOHTvi5eUFQEBAgNHWzs6OzMxMszFjYmL4+++/WbhwIQ4ODsY8ISEhvPPOOxQpUoS0tDTatWtH+fLlAfD39zf6Ozo6YmVlZTbmjh07+O677zh9+jQ2NjYATJs2jdWrV7N8+XJeeukl4FqZiIULF+Lu7g7A5s2b+eGHHzhx4gSenp4ALFy4kCpVqrBnzx7q1KkDXNsBHB0dbTyQrUePHsTGxjJp0iQyMzOZPHkyW7ZsoX79+gCUK1eOHTt2MHfu3DwTwikpKTg4ONCuXTucnJzw8vIiMDDwDt4xc6VKlcLKygpHR0ezdXnrrbeMn729vQkLC2Pp0qWMHDkSOzu7e1rLG2VmZpKZmWkcp6en3/W9iIiIiIiIiDwoSgiLiNzGwYMH2bp1q7Hj9EZJSUk89dRTtGjRgoCAAIKDg3nqqafo3LkzRYsWzXfMxMREqlevbiSDARo2bEh2djZHjhyhSZMmhIaGEhwcTKtWrWjZsiVdunTBw8PjlnFmZGTkqp37119/kZSUZBx7eXkZyeDrsXh6ehrJYIDKlSvj6upKYmKikRD29vY2ksEAHh4enD59Gri26/jSpUu0atXKbO7Lly/nm+Rt1aoVXl5elCtXjtatW9O6dWs6dOiAvb19vvd4Nz777DNmzpxJUlKSkbx3dna+ZZ+CruWNIiMjiYiIuG9xi4iIiIiIiDwISgiLiNxGRkaGsXP3Zh4eHlhaWrJ582a+/fZbNm3axKxZs3jzzTfZvXs3Pj4+dz3vggULGDJkCBs2bOCzzz7jrbfeYvPmzdSrVy/fOD08PMzKPFzn6upq/HxjEvpOFClSxOzYZDKRnZ1tzA2wbt06nnjiCbN213fY3szJyYn9+/cTFxfHpk2bGDt2LOPHj2fPnj24urpiYWFBTk6OWZ/rtX8LaufOnXTv3p2IiAiCg4NxcXFh6dKlTJ8+/Zb9CrqWNwoPD2f48OHGcXp6ulmSXURERERERORRoISwiMgNrK2tycrKMjtXs2ZNVqxYgbe3N1ZWef+zaTKZaNiwIQ0bNmTs2LF4eXmxatUqhg8fnueY/v7+REdHc/HiRSNBGx8fj4WFBRUrVjTaBQYGEhgYSHh4OPXr1+fTTz+lXr16+cb522+/YWVlhbe3d4Hv2d/fn1OnTnHq1CkjgXn48GHOnz9P5cqVCzRG5cqVsbGxISUlJc/yEPmxsrKiZcuWtGzZknHjxuHq6srXX39Nx44dcXd3JzU11Wibnp7OiRMnCjw2wLfffouXlxdvvvmmce7kyZNmbe7XWtrY2OSb/BYRERERERF5VFgUdgAiIo8Sb29vdu/eTXJyMn/++SfZ2dm88sornD17lm7durFnzx6SkpLYuHEjvXv3Jisri927dzN58mT27t1LSkoKK1eu5I8//jBq/np7e/P9999z5MgR/vzzT65cuUL37t2xtbWlV69eHDp0iK1bt/Lqq6/So0cPSpYsyYkTJwgPD2fnzp2cPHmSTZs2cezYMbMxT5w4QUJCAn/++SeZmZm0bNmS+vXr0759ezZt2kRycjLffvstb775Jnv37s33nlu2bElAQADdu3dn//79fPfdd/Ts2ZOmTZtSu3btAq2bk5MTYWFhDBs2jJiYGJKSkti/fz+zZs0iJiYmzz5r165l5syZJCQkcPLkSRYuXEh2draREG/evDmLFi1i+/bt/PDDD/Tq1QtLS8s7eTvx8/MjJSWFpUuXkpSUxMyZM1m1apVZm/u5liIiIiIiIiKPOiWERURuEBYWhqWlJZUrV8bd3Z2UlBRKly5NfHw8WVlZPPXUUwQEBDB06FCjrIGzszPffPMNbdq0oUKFCrz11ltMnz6dp59+GoD+/ftTsWJFateujbu7O/Hx8djb27Nx40bOnj1LnTp16Ny5My1atGD27NkA2Nvb89NPP9GpUycqVKjASy+9xCuvvMKAAQMA6NSpE61bt6ZZs2a4u7uzZMkSTCYT69evp0mTJvTu3ZsKFSrw/PPPc/LkSUqWLJnvPZtMJr744guKFi1KkyZNaNmyJeXKleOzzz67o7WbOHEiY8aMITIyEn9/f1q3bs26devyLZvh6urKypUrad68Of7+/syZM4clS5ZQpUoV4FoJhqZNm9KuXTvatm1L+/btjQfsFdQzzzzDsGHDGDx4MDVq1ODbb79lzJgxZm3u51qKiIiIiIiIPOpMOTcXaBQREZF7lp6ejouLC2lpabd9iJ2IiIiIiIjIvSro91DtEBYRERERERERERH5l1BCWERERERERERERORfQglhERF5LISGhtK+ffvCDkNERERERETksaaEsIiIPBaioqKIjo6+r2NGR0fj6up6X8cUEREREREReZRZFXYAIiIiBeHi4lLYIYiIPPa8R68rcNvkKW0fYCQiIiIiUli0Q1hERO7I8uXLCQgIwM7OjmLFitGyZUsuXrxIUFAQQ4cONWvbvn17QkNDjePMzExGjRqFp6cnNjY2+Pr68vHHHxvXf/zxR9q1a4ezszNOTk40btyYpKQkIHfJiKCgIIYMGcLIkSNxc3OjVKlSjB8/3mz+GTNmEBAQgIODA56engwaNIiMjAwA4uLi6N27N2lpaZhMJkwmk9E/MzOTsLAwnnjiCRwcHHjyySeJi4u7X0soIiIiIiIiUmiUEBYRkQJLTU2lW7du9OnTh8TEROLi4ujYsSM5OTkF6t+zZ0+WLFnCzJkzSUxMZO7cuTg6OgLwyy+/0KRJE2xsbPj666/Zt28fffr04erVq/mOFxMTg4ODA7t372bq1KlMmDCBzZs3G9ctLCyYOXMmP/74IzExMXz99deMHDkSgAYNGvDee+/h7OxMamoqqamphIWFATB48GB27tzJ0qVL+f7773nuuedo3bo1x44du9ulExEREREREXkkqGSEiIgUWGpqKlevXqVjx454eXkBEBAQUKC+R48eZdmyZWzevJmWLVsCUK5cOeP6+++/j4uLC0uXLqVIkSIAVKhQ4ZZjVqtWjXHjxgHg5+fH7NmziY2NpVWrVgBmO5a9vb15++23GThwIB988AHW1ta4uLhgMpkoVaqU0S4lJYUFCxaQkpJC6dKlAQgLC2PDhg0sWLCAyZMn5xlLZmYmmZmZxnF6enqB1kVERERERETkYVJCWERECqx69eq0aNGCgIAAgoODeeqpp+jcuTNFixa9bd+EhAQsLS1p2rRpvtcbN25sJIMLolq1ambHHh4enD592jjesmULkZGR/PTTT6Snp3P16lX+/vtvLl26hL29fZ5j/vDDD2RlZeVKRmdmZlKsWLF8Y4mMjCQiIqLAsYuIiIiIiIgUBpWMEBGRArO0tGTz5s189dVXVK5cmVmzZlGxYkVOnDiBhYVFrtIRV65cMX62s7O75di3u56Xm5PHJpOJ7OxsAJKTk2nXrh3VqlVjxYoV7Nu3j/fffx+Ay5cv5ztmRkYGlpaW7Nu3j4SEBOOVmJhIVFRUvv3Cw8NJS0szXqdOnbrj+xERERERERF50JQQFhGRO2IymWjYsCEREREcOHAAa2trVq1ahbu7O6mpqUa7rKwsDh06ZBwHBASQnZ3Ntm3b8hy3WrVqbN++3SyJfC/27dtHdnY206dPp169elSoUIFff/3VrI21tTVZWVlm5wIDA8nKyuL06dP4+vqavW4sLXEzGxsbnJ2dzV4iIiIiIiIijxqVjBARkQLbvXs3sbGxPPXUU5QoUYLdu3fzxx9/4O/vj4ODA8OHD2fdunWUL1+eGTNmcP78eaOvt7c3vXr1ok+fPsycOZPq1atz8uRJTp8+TZcuXRg8eDCzZs3i+eefJzw8HBcXF3bt2kXdunWpWLHiHcfq6+vLlStXmDVrFiEhIcTHxzNnzhyzNt7e3mRkZBAbG0v16tWxt7enQoUKdO/enZ49ezJ9+nQCAwP5448/iI2NpVq1arRt2/Zel1FEpNAkT9G/YSIiIiL/dtohLCIiBebs7Mw333xDmzZtqFChAm+99RbTp0/n6aefpk+fPvTq1YuePXvStGlTypUrR7Nmzcz6f/jhh3Tu3JlBgwZRqVIl+vfvz8WLFwEoVqwYX3/9NRkZGTRt2pRatWoxb968O6opfKPq1aszY8YM3nnnHapWrcrixYuJjIw0a9OgQQMGDhxI165dcXd3Z+rUqQAsWLCAnj17MmLECCpWrEj79u3Zs2cPZcuWvatYRERERERERB4VppybCz6KiIjIPUtPT8fFxYW0tDSVjxAREREREZEHrqDfQ7VDWERERERERERERORfQglhERERERERERERkX8JJYRFROSOeXt789577xVqDKGhobRv375QYxARERERERF53CghLCIi/1pxcXGYTCbOnz9f2KGIiIiIiIiIPBRWhR2AiIiIiIg8HN6j1xV2CPIPlTylbWGHICIiIgWkHcIiIpJLUFAQgwcPZvDgwbi4uFC8eHHGjBlDTk6O0ebSpUv06dMHJycnypYty0cffWQ2xg8//EDz5s2xs7OjWLFivPTSS2RkZBjX4+LiqFu3Lg4ODri6utKwYUNOnjwJwPjx46lRowZz587F09MTe3t7unTpQlpaWq5Yp02bhoeHB8WKFeOVV17hypUrxrVFixZRu3ZtnJycKFWqFC+88AKnT58GIDk5mWbNmgFQtGhRTCYToaGhAGRnZxMZGYmPjw92dnZUr16d5cuX35/FFRERERERESlESgiLiEieYmJisLKy4rvvviMqKooZM2Ywf/584/r06dOpXbs2Bw4cYNCgQbz88sscOXIEgIsXLxIcHEzRokXZs2cPn3/+OVu2bGHw4MEAXL16lfbt29O0aVO+//57du7cyUsvvYTJZDLGP378OMuWLePLL79kw4YNxjw32rp1K0lJSWzdupWYmBiio6OJjo42rl+5coWJEydy8OBBVq9eTXJyspH09fT0ZMWKFQAcOXKE1NRUoqKiAIiMjGThwoXMmTOHH3/8kWHDhvHiiy+ybdu2+77OIiIiIiIiIg+TKefG7V4iIiJc2yF8+vRpfvzxRyNJO3r0aNasWcPhw4fx9vamcePGLFq0CICcnBxKlSpFREQEAwcOZN68eYwaNYpTp07h4OAAwPr16wkJCeHXX3+lSJEiFCtWjLi4OJo2bZpr/vHjx/P2229z8uRJnnjiCQA2bNhA27Zt+eWXXyhVqhShoaHExcWRlJSEpaUlAF26dMHCwoKlS5fmeV979+6lTp06XLhwAUdHR+Li4mjWrBnnzp3D1dUVgMzMTNzc3NiyZQv169c3+vbr149Lly7x6aef5jl2ZmYmmZmZxnF6ejqenp6kpaXh7Ox8J8svIvLAqGSEPCgqGSEiIlL40tPTcXFxue33UO0QFhGRPNWrV89sx279+vU5duwYWVlZAFSrVs24ZjKZKFWqlFGOITExkerVqxvJYICGDRuSnZ3NkSNHcHNzIzQ0lODgYEJCQoiKiiI1NdVs/rJlyxrJ4OvzX+9/XZUqVYxkMICHh4cRA8C+ffsICQmhbNmyODk5GcnnlJSUfO/7+PHjXLp0iVatWuHo6Gi8Fi5cSFJSUr79IiMjcXFxMV6enp75thUREREREREpLEoIi4jIXSlSpIjZsclkIjs7u8D9FyxYwM6dO2nQoAGfffYZFSpUYNeuXfcthutlK5ydnVm8eDF79uxh1apVAFy+fDnfMa/XOV63bh0JCQnG6/Dhw7esIxweHk5aWprxOnXq1B3di4iIiIiIiMjDYFXYAYiIyKNp9+7dZse7du3Cz8/PbEdufvz9/YmOjubixYvGLuH4+HgsLCyoWLGi0S4wMJDAwEDCw8OpX78+n376KfXq1QOu7eL99ddfKV26tDH/zf1v5aeffuLMmTNMmTLF2K27d+9eszbW1tYAxq5ngMqVK2NjY0NKSkqe5SzyY2Njg42NTYHbi4iIiIiIiBQGJYRFRCRPKSkpDB8+nAEDBrB//35mzZrF9OnTC9S3e/fujBs3jl69ejF+/Hj++OMPXn31VXr06EHJkiU5ceIEH330Ec888wylS5fmyJEjHDt2jJ49expj2Nra0qtXL6ZNm0Z6ejpDhgyhS5culCpVqkAxlC1bFmtra2bNmsXAgQM5dOgQEydONGvj5eWFyWRi7dq1tGnTBjs7O5ycnAgLC2PYsGFkZ2fTqFEj0tLSiI+Px9nZmV69ehV8EUVEHjGq8yoiIiIiSgiLiEieevbsyV9//UXdunWxtLTktdde46WXXipQX3t7ezZu3Mhrr71GnTp1sLe3p1OnTsyYMcO4/tNPPxETE8OZM2fw8PDglVdeYcCAAcYYvr6+dOzYkTZt2nD27FnatWvHBx98UOD43d3diY6O5o033mDmzJnUrFmTadOm8cwzzxhtnnjiCSIiIhg9ejS9e/emZ8+eREdHM3HiRNzd3YmMjOTnn3/G1dWVmjVr8sYbbxR4fhEREREREZFHkSknJyensIMQEZFHS1BQEDVq1OC9994rlPnHjx/P6tWrSUhIKJT574eCPt1VRERERERE5H4o6PdQPVRORERERERERERE5F9CCWERERERERERERGRfwmVjBARkX+M0NBQzp8/z+rVqws7FJWMEBERERERkYdKJSNERERuIzk5GZPJ9FjXKhYRERERERG5E1aFHYCIiIiIiDwc3qPXFXYIAiRPaVvYIYiIiMi/mHYIi4hIoQgKCuLVV19l6NChFC1alJIlSzJv3jwuXrxI7969cXJywtfXl6+++gqArKws+vbti4+PD3Z2dlSsWJGoqKhbzrFhwwYaNWqEq6srxYoVo127diQlJRnXfXx8AAgMDMRkMhEUFGRcmz9/Pv7+/tja2lKpUiU++OCD+78IIiIiIiIiIg+ZEsIiIlJoYmJiKF68ON999x2vvvoqL7/8Ms899xwNGjRg//79PPXUU/To0YNLly6RnZ1NmTJl+Pzzzzl8+DBjx47ljTfeYNmyZfmOf/HiRYYPH87evXuJjY3FwsKCDh06kJ2dDcB3330HwJYtW0hNTWXlypUALF68mLFjxzJp0iQSExOZPHkyY8aMISYmJt+5MjMzSU9PN3uJiIiIiIiIPGr0UDkRESkUQUFBZGVlsX37duDaDmAXFxc6duzIwoULAfjtt9/w8PBg586d1KtXL9cYgwcP5rfffmP58uXA7R8q9+eff+Lu7s4PP/xA1apVSU5OxsfHhwMHDlCjRg2jna+vLxMnTqRbt27Gubfffpv169fz7bff5jn2+PHjiYiIyHVeD5UTkUeJSkY8GlQyQkRERB4EPVROREQeedWqVTN+trS0pFixYgQEBBjnSpYsCcDp06cBeP/996lVqxbu7u44Ojry0UcfkZKSku/4x44do1u3bpQrVw5nZ2e8vb0Bbtnn4sWLJCUl0bdvXxwdHY3X22+/bVZu4mbh4eGkpaUZr1OnThVoDUREREREREQeJj1UTkRECk2RIkXMjk0mk9k5k8kEQHZ2NkuXLiUsLIzp06dTv359nJycePfdd9m9e3e+44eEhODl5cW8efMoXbo02dnZVK1alcuXL+fbJyMjA4B58+bx5JNPml2ztLTMt5+NjQ02Njb536yIiIiIiIjII0AJYREReSzEx8fToEEDBg0aZJy71Y7dM2fOcOTIEebNm0fjxo0B2LFjh1kba2tr4Fq5iutKlixJ6dKl+fnnn+nevfv9vAURERERERGRQqeEsIiIPBb8/PxYuHAhGzduxMfHh0WLFrFnzx58fHzybF+0aFGKFSvGRx99hIeHBykpKYwePdqsTYkSJbCzs2PDhg2UKVMGW1tbXFxciIiIYMiQIbi4uNC6dWsyMzPZu3cv586dY/jw4Q/jdkVEHgjVrhURERER1RAWEZHHwoABA+jYsSNdu3blySef5MyZM2a7hW9mYWHB0qVL2bdvH1WrVmXYsGG8++67Zm2srKyYOXMmc+fOpXTp0jz77LMA9OvXj/nz57NgwQICAgJo2rQp0dHR+SafRURERERERB4XppycnJzCDkJEROSfpqBPdxURERERERG5Hwr6PVQ7hEVERERERERERET+JZQQFhEREREREREREfmXUEJYRETuWFBQEEOHDn3g84SGhtK+ffsHPo+IiIiIiIjIv4VqCIuIyB07e/YsRYoUwcnJ6YHOk5aWRk5ODq6ursC1RHSNGjV477337sv43t7eDB069IEkt1VDWERERERERB6mgn4PtXqIMYmIyD+Em5vbQ5nHxcXljvvk5OSQlZWFlZX+FycicjPv0esKO4SHLnlK28IOQUREROSRopIRIiJyx24sGfHBBx/g5+eHra0tJUuWpHPnzka7zMxMhgwZQokSJbC1taVRo0bs2bPHbKwff/yRdu3a4ezsjJOTE40bNyYpKQkwLxkRGhrKtm3biIqKwmQyYTKZSE5OJi4uDpPJxFdffUWtWrWwsbFhx44dJCUl8eyzz1KyZEkcHR2pU6cOW7ZsMbuHkydPMmzYMGO863bs2EHjxo2xs7PD09OTIUOGcPHixQe0miIiIiIiIiIPjxLCIiJy1/bu3cuQIUOYMGECR44cYcOGDTRp0sS4PnLkSFasWEFMTAz79+/H19eX4OBgzp49C8Avv/xCkyZNsLGx4euvv2bfvn306dOHq1ev5porKiqK+vXr079/f1JTU0lNTcXT09O4Pnr0aKZMmUJiYiLVqlUjIyODNm3aEBsby4EDB2jdujUhISGkpKQAsHLlSsqUKcOECROM8QCSkpJo3bo1nTp14vvvv+ezzz5jx44dDB48+JZrkZmZSXp6utlLRERERERE5FGjv6cVEZG7lpKSgoODA+3atcPJyQkvLy8CAwMBuHjxIh9++CHR0dE8/fTTAMybN4/Nmzfz8ccf8/rrr/P+++/j4uLC0qVLKVKkCAAVKlTIcy4XFxesra2xt7enVKlSua5PmDCBVq1aGcdubm5Ur17dOJ44cSKrVq1izZo1DB48GDc3NywtLXFycjIbLzIyku7duxs7oP38/Jg5cyZNmzblww8/xNbWNs/4IiMjiYiIuIPVExEREREREXn4tENYRETuWqtWrfDy8qJcuXL06NGDxYsXc+nSJeDaTtsrV67QsGFDo32RIkWoW7cuiYmJACQkJNC4cWMjGXwvateubXackZFBWFgY/v7+uLq64ujoSGJiorFDOD8HDx4kOjoaR0dH4xUcHEx2djYnTpzIt194eDhpaWnG69SpU/d8TyIiIiIiIiL3m3YIi4jIXXNycmL//v3ExcWxadMmxo4dy/jx43PVCc6PnZ3dfYvFwcHB7DgsLIzNmzczbdo0fH19sbOzo3Pnzly+fPmW42RkZDBgwACGDBmS61rZsmXz7WdjY4ONjc3dBS8iIiIiIiLykCghLCIi98TKyoqWLVvSsmVLxo0bh6urK19//TXBwcFYW1sTHx+Pl5cXAFeuXGHPnj1GOYZq1aoRExPDlStXCrRL2NramqysrALFFR8fT2hoKB06dACuJXqTk5NvO17NmjU5fPgwvr6+BZpHRERERERE5HGihLCIiNy1tWvX8vPPP9OkSROKFi3K+vXryc7OpmLFijg4OPDyyy/z+uuv4+bmRtmyZZk6dSqXLl2ib9++AAwePJhZs2bx/PPPEx4ejouLC7t27aJu3bpUrFgx13ze3t7s3r2b5ORkHB0dcXNzyzc2Pz8/Vq5cSUhICCaTiTFjxpCdnZ1rvG+++Ybnn38eGxsbihcvzqhRo6hXrx6DBw+mX79+ODg4cPjwYTZv3szs2bPv7wKKiDxkyVPaFnYIIiIiIlLIVENYRETumqurKytXrqR58+b4+/szZ84clixZQpUqVQCYMmUKnTp1okePHtSsWZPjx4+zceNGihYtCkCxYsX4+uuvycjIoGnTptSqVYt58+blu1s4LCwMS0tLKleujLu7+y3rAc+YMYOiRYvSoEEDQkJCCA4OpmbNmmZtJkyYQHJyMuXLl8fd3R24tmt527ZtHD16lMaNGxMYGMjYsWMpXbr0/VgyERERERERkUJlysnJySnsIERERP5p0tPTcXFxIS0tDWdn58IOR0RERERERP7hCvo9VDuERURERERERERERP4llBAWERERERERERER+ZdQQlhERO5KTk4OL730Em5ubphMJhISEgo7JBERERERERG5DSWERUTkrmzYsIHo6GjWrl1LamoqVatWLeyQ7tj48eOpUaNGYYchIiIiIiIi8tBYFXYAIiLyeEpKSsLDw4MGDRoUdii5XL58GWtr68IOQ0TkkeM9el1hhyD/AMlT2hZ2CCIiInIPtENYRETuWGhoKK+++iopKSmYTCa8vb3x9vbmvffeM2tXo0YNxo8fbxybTCbmzp1Lu3btsLe3x9/fn507d3L8+HGCgoJwcHCgQYMGJCUlGX2SkpJ49tlnKVmyJI6OjtSpU4ctW7aYzePt7c3EiRPp2bMnzs7OvPTSSwCMGjWKChUqYG9vT7ly5RgzZgxXrlwBIDo6moiICA4ePIjJZMJkMhEdHQ3A+fPn6devH+7u7jg7O9O8eXMOHjx4/xdSRERERERE5CFTQlhERO5YVFQUEyZMoEyZMqSmprJnz54C972euE1ISKBSpUq88MILDBgwgPDwcPbu3UtOTg6DBw822mdkZNCmTRtiY2M5cOAArVu3JiQkhJSUFLNxp02bRvXq1Tlw4ABjxowBwMnJiejoaA4fPkxUVBTz5s3jP//5DwBdu3ZlxIgRVKlShdTUVFJTU+natSsAzz33HKdPn+arr75i37591KxZkxYtWnD27Nl87yszM5P09HSzl4iIiIiIiMijRiUjRETkjrm4uODk5ISlpSWlSpW6o769e/emS5cuwLUdvPXr12fMmDEEBwcD8Nprr9G7d2+jffXq1alevbpxPHHiRFatWsWaNWvMEsfNmzdnxIgRZnO99dZbxs/e3t6EhYWxdOlSRo4ciZ2dHY6OjlhZWZndw44dO/juu+84ffo0NjY2wLVk8+rVq1m+fLmx+/hmkZGRRERE3NFaiIiIiIiIiDxsSgiLiMhDVa1aNePnkiVLAhAQEGB27u+//yY9PR1nZ2cyMjIYP34869atIzU1latXr/LXX3/l2iFcu3btXHN99tlnzJw5k6SkJDIyMrh69SrOzs63jO/gwYNkZGRQrFgxs/N//fWXWSmLm4WHhzN8+HDjOD09HU9Pz1vOJSIiIiIiIvKwKSEsIiL3hYWFBTk5OWbnrtfrvVGRIkWMn00mU77nsrOzAQgLC2Pz5s1MmzYNX19f7Ozs6Ny5M5cvXzYb18HBwex4586ddO/enYiICIKDg3FxcWHp0qVMnz79lveRkZGBh4cHcXFxua65urrm28/GxsbYUSwiIiIiIiLyqFJCWERE7gt3d3dSU1ON4/T0dE6cOHHP48bHxxMaGkqHDh2Aawnb5OTk2/b79ttv8fLy4s033zTOnTx50qyNtbU1WVlZZudq1qzJb7/9hpWVFd7e3vccv4iIiIiIiMijRAlhERG5L5o3b050dDQhISG4uroyduxYLC0t73lcPz8/Vq5cSUhICCaTiTFjxhi7h2/XLyUlhaVLl1KnTh3WrVvHqlWrzNp4e3tz4sQJEhISKFOmDE5OTrRs2ZL69evTvn17pk6dSoUKFfj1119Zt24dHTp0yLM0hYjI4yJ5StvCDkFERERECplFYQcgIiL/DOHh4TRt2pR27drRtm1b2rdvT/ny5e953BkzZlC0aFEaNGhASEgIwcHB1KxZ87b9nnnmGYYNG8bgwYOpUaMG3377LWPGjDFr06lTJ1q3bk2zZs1wd3dnyZIlmEwm1q9fT5MmTejduzcVKlTg+eef5+TJk0bNYxEREREREZHHlSnn5oKPIiIics/S09NxcXEhLS3ttg+yExEREREREblXBf0eqh3CIiIiIiIiIiIiIv8SSgiLiIiIiIiIiIiI/EsoISwiIo+s5ORkTCYTCQkJhR2KiIiIiIiIyD+CEsIiIvLI8vT0JDU1lapVqwIQFxeHyWTi/Pnz92X86OhoXF1d78tYIiIiIiIiIo8Dq8IOQEREJD+WlpaUKlXqjvtdvnwZa2vrBxCRiMjjzXv0usIOQe5C8pS2hR2CiIiI/INoh7CIiBS67Oxspk6diq+vLzY2NpQtW5ZJkyaZlYxITk6mWbNmABQtWhSTyURoaCgAQUFBDB48mKFDh1K8eHGCg4MBmDFjBgEBATg4OODp6cmgQYPIyMgAru027t27N2lpaZhMJkwmE+PHjwcgMzOTsLAwnnjiCRwcHHjyySeJi4t72MsiIiIiIiIict9ph7CIiBS68PBw5s2bx3/+8x8aNWpEamoqP/30k1kbT09PVqxYQadOnThy5AjOzs7Y2dkZ12NiYnj55ZeJj483zllYWDBz5kx8fHz4+eefGTRoECNHjuSDDz6gQYMGvPfee4wdO5YjR44A4OjoCMDgwYM5fPgwS5cupXTp0qxatYrWrVvzww8/4Ofnl+c9ZGZmkpmZaRynp6fft/URERERERERuV9MOTk5OYUdhIiI/HtduHABd3d3Zs+eTb9+/cyuJScn4+Pjw4EDB6hRowZxcXE0a9aMc+fOmdX+DQoKIj09nf37999yruXLlzNw4ED+/PNP4FoN4aFDh5rVJE5JSaFcuXKkpKRQunRp43zLli2pW7cukydPznPs8ePHExERket8Wloazs7Ot1sGEZGHQiUjHk8qGSEiIiIFkZ6ejouLy22/h2qHsIiIFKrExEQyMzNp0aLFPY1Tq1atXOe2bNlCZGQkP/30E+np6Vy9epW///6bS5cuYW9vn+c4P/zwA1lZWVSoUMHsfGZmJsWKFct3/vDwcIYPH24cp6en4+npeZd3IyIiIiIiIvJgKCEsIiKF6sayD/fCwcHB7Dg5OZl27drx8ssvM2nSJNzc3NixYwd9+/bl8uXL+SaEMzIysLS0ZN++fVhaWppdu15SIi82NjbY2Njc+42IiIiIiIiIPEBKCIuISKHy8/PDzs6O2NjYXCUjbmZtbQ1AVlbWbcfdt28f2dnZTJ8+HQuLa89QXbZsWa7xbh4rMDCQrKwsTp8+TePGje/kVkREREREREQeeUoIi4hIobK1tWXUqFGMHDkSa2trGjZsyB9//MGPP/6Yq4yEl5cXJpOJtWvX0qZNG+zs7PLdtevr68uVK1eYNWsWISEhxMfHM2fOHLM23t7eZGRkEBsbS/Xq1bG3t6dChQp0796dnj17Mn36dAIDA/njjz+IjY2lWrVqtG2rOo4i8vhSLVoRERERsSjsAERERMaMGcOIESMYO3Ys/v7+dO3aldOnT+dq98QTTxAREcHo0aMpWbIkgwcPznfM6tWrM2PGDN555x2qVq3K4sWLiYyMNGvToEEDBg4cSNeuXXF3d2fq1KkALFiwgJ49ezJixAgqVqxI+/bt2bNnD2XLlr2/Ny4iIiIiIiLykJlycnJyCjsIERGRf5qCPt1VRERERERE5H4o6PdQ7RAWERERERERERER+ZdQQlhEHlvJycmYTCYSEhIKO5R/jOjoaFxdXQs7DBERERERERF5QJQQFpHHlqenJ6mpqVStWhWAuLg4TCYT58+fL9zA7jNvb2/ee++9u+7frFkz5s+ff/8CuklQUBBDhw59YOM/SPqlgoiIiIiIiPzbWBV2ACIid8vS0pJSpUrdcb/Lly9jbW39ACJ69Jw9e5b4+HiWLl1a2KGIiMgjwHv0ugc+R/KUtg98DhERERG5e9ohLCKPvOzsbKZOnYqvry82NjaULVuWSZMmme3uTE5OplmzZgAULVoUk8lEaGgocG0H6+DBgxk6dCjFixcnODgYgBkzZhAQEICDgwOenp4MGjSIjIwMs7nj4+MJCgrC3t6eokWLEhwczLlz5wDIzMxkyJAhlChRAltbWxo1asSePXuMvtd3LMfGxlK7dm3s7e1p0KABR44cMdokJSXx7LPPUrJkSRwdHalTpw5btmwxrgcFBXHy5EmGDRuGyWTCZDIZ13bs2EHjxo2xs7PD09OTIUOGcPHiRbP4161bR82aNSlZsiQAa9aswc/PD1tbW5o1a0ZMTMwtd1WHhobSvn17s3NDhw4lKCjIuL5t2zaioqKM+JKTk8nKyqJv3774+PhgZ2dHxYoViYqKyjX+J598QpUqVbCxscHDw4PBgwcb11JSUnj22WdxdHTE2dmZLl268PvvvxvXx48fT40aNVi0aBHe3t64uLjw/PPPc+HCBaPNhg0baNSoEa6urhQrVox27dqRlJRkXPfx8QEgMDAQk8lk3BfA/Pnz8ff3x9bWlkqVKvHBBx/kuUYiIiIiIiIijxMlhEXkkRceHs6UKVMYM2YMhw8f5tNPPzUSnNd5enqyYsUKAI4cOUJqaqpZAjImJgZra2vi4+OZM2cOABYWFsycOZMff/yRmJgYvv76a0aOHGn0SUhIoEWLFlSuXJmdO3eyY8cOQkJCyMrKAmDkyJGsWLGCmJgY9u/fj6+vL8HBwZw9e9YstjfffJPp06ezd+9erKys6NOnj3EtIyODNm3aEBsby4EDB2jdujUhISGkpKQAsHLlSsqUKcOECRNITU0lNTUVuJZIbt26NZ06deL777/ns88+Y8eOHWYJVbiWAH722WcBOHHiBJ07d6Z9+/YcPHiQAQMG8Oabb979GwNERUVRv359+vfvb8Tn6elJdnY2ZcqU4fPPP+fw4cOMHTuWN954g2XLlhl9P/zwQ1555RVeeuklfvjhB9asWYOvry9w7ZcAzz77LGfPnmXbtm1s3ryZn3/+ma5du5rNn5SUxOrVq1m7di1r165l27ZtTJkyxbh+8eJFhg8fzt69e4mNjcXCwoIOHTqQnZ0NwHfffQfAli1bSE1NZeXKlQAsXryYsWPHMmnSJBITE5k8eTJjxowhJibmntZLREREREREpLCZcnJycgo7CBGR/Fy4cAF3d3dmz55Nv379zK4lJyfj4+PDgQMHqFGjBnFxcTRr1oxz586ZPRgtKCiI9PR09u/ff8u5li9fzsCBA/nzzz8BeOGFF0hJSWHHjh252l68eJGiRYsSHR3NCy+8AMCVK1fw9vZm6NChvP7660Y8W7ZsoUWLFgCsX7+etm3b8tdff2Fra5tnHFWrVmXgwIFGcvf6mDfW6e3Xrx+WlpbMnTvXOLdjxw6aNm3KxYsXsbW1JTMzk+LFi7Nr1y6qVKnC6NGjWbduHT/88IPR56233mLSpEnGmkVHRzN06FBjx3BoaCjnz59n9erVRp+hQ4eSkJBAXFycsb41atS4bZ3jwYMH89tvv7F8+XIAnnjiCXr37s3bb7+dq+3mzZt5+umnOXHiBJ6engAcPnyYKlWq8N1331GnTh3Gjx/Pu+++y2+//YaTkxNwLUn/zTffsGvXrjxj+PPPP3F3d+eHH36gatWquT5D1/n6+jJx4kS6detmnHv77bdZv3493377bZ5jZ2ZmkpmZaRynp6fj6elJWloazs7Ot1wbEZGHRSUjRERERP650tPTcXFxue33UO0QFpFHWmJiIpmZmUZC9W7VqlUr17nridonnngCJycnevTowZkzZ7h06RLwfzuE85KUlMSVK1do2LChca5IkSLUrVuXxMREs7bVqlUzfvbw8ADg9OnTwLUdwmFhYfj7++Pq6oqjoyOJiYnGDuH8HDx4kOjoaBwdHY1XcHAw2dnZnDhxAoCvv/6aEiVKUKVKFeDazuk6deqYjVO3bt1bznMv3n//fWrVqoW7uzuOjo589NFHxn2dPn2aX3/9Nd/1TUxMxNPT00gGA1SuXBlXV1ez9fX29jaSwXBtfa+vLcCxY8fo1q0b5cqVw9nZGW9vb4Bbru/FixdJSkqib9++Zuv79ttvm5WbuFlkZCQuLi7G68bYRURERERERB4VeqiciDzS7Ozs7ss4Dg4OZsfJycm0a9eOl19+mUmTJuHm5saOHTvo27cvly9fxt7e/r7NXaRIEePn6zWAr5csCAsLY/PmzUybNg1fX1/s7Ozo3Lkzly9fvuWYGRkZDBgwgCFDhuS6VrZsWeBauYhnnnnmnmK3sLDg5j8kuXLlym37LV26lLCwMKZPn079+vVxcnLi3XffZffu3cD9e19vXFu4tr7X1xYgJCQELy8v5s2bR+nSpcnOzqZq1aq3XN/rdaTnzZvHk08+aXbN0tIy337h4eEMHz7cOL6+Q1hERERERETkUaKEsIg80vz8/LCzsyM2NjZXyYibWVtbAxg1fm9l3759ZGdnM336dCwsrv2xxI31beHazt7Y2FgiIiJy9S9fvrxRk9jLywu4lijds2ePWWmH24mPjyc0NJQOHToA15KRycnJue7r5nuqWbMmhw8fNmru3iwnJ4cvv/yS//73v8a5ihUrsn79erN2Nz4ELy/u7u4cOnTI7FxCQoJZIjav+OLj42nQoAGDBg0yzt24u9bJyQlvb29iY2ONhwHeyN/fn1OnTnHq1CmzkhHnz5+ncuXKt4z5ujNnznDkyBHmzZtH48aNAXKV/8jrM1OyZElKly7Nzz//TPfu3Qs0F4CNjQ02NjYFbi8iIiIiIiJSGJQQFpFHmq2tLaNGjWLkyJFYW1vTsGFD/vjjD3788cdc5Qa8vLwwmUysXbuWNm3aYGdnh6OjY57j+vr6cuXKFWbNmkVISIjZw+auCw8PJyAggEGDBjFw4ECsra3ZunUrzz33HMWLF+fll1/m9ddfx83NjbJlyzJ16lQuXbpE3759C3x/fn5+rFy5kpCQEEwmE2PGjDHb4QrXyiJ88803PP/889jY2FC8eHFGjRpFvXr1GDx4MP369cPBwYHDhw+zefNmZs+ezb59+7h06RKNGjUyxhkwYAAzZsxg1KhR9O3bl4SEBKKjo4H/27l8s+bNm/Puu++ycOFC6tevz3//+18OHTpEYGCgWXy7d+8mOTkZR0dH3Nzc8PPzY+HChWzcuBEfHx8WLVrEnj178PHxMfqNHz+egQMHUqJECZ5++mkuXLhAfHw8r776Ki1btiQgIIDu3bvz3nvvcfXqVQYNGkTTpk2pXbt2gda2aNGiFCtWjI8++ggPDw9SUlIYPXq0WZsSJUpgZ2fHhg0bKFOmDLa2tri4uBAREcGQIUNwcXGhdevWZGZmsnfvXs6dO2e2C1hE5HGj+r4iIiIiohrCIvLIGzNmDCNGjGDs2LH4+/vTtWtXszqx1z3xxBNEREQwevRoSpYsaTyULS/Vq1dnxowZvPPOO1StWpXFixcTGRlp1qZChQps2rSJgwcPUrduXerXr88XX3yBldW136VNmTKFTp060aNHD2rWrMnx48fZuHEjRYsWLfC9zZgxg6JFi9KgQQNCQkIIDg6mZs2aZm0mTJhAcnIy5cuXx93dHbi2e3nbtm0cPXqUxo0bExgYyNixYyldujQAX3zxBW3atDFiBfDx8WH58uWsXLmSatWq8eGHH/Lmm28C5LuzNTg4mDFjxjBy5Ejq1KnDhQsX6Nmzp1mbsLAwLC0tqVy5Mu7u7qSkpDBgwAA6duxI165defLJJzlz5ozZbmGAXr168d577/HBBx9QpUoV2rVrx7Fjx4BrCeovvviCokWL0qRJE1q2bEm5cuX47LPPCry2FhYWLF26lH379lG1alWGDRvGu+++a9bGysqKmTNnMnfuXEqXLs2zzz4LXHto3/z581mwYAEBAQE0bdqU6Ohos4S2iIiIiIiIyOPIlHNzcUgREXnsVatWjbfeeosuXbrcst2kSZOYM2cOp06dekiR/XsU9OmuIiIiIiIiIvdDQb+HqmSEiMg/zOXLl+nUqRNPP/10rmsffPABderUoVixYsTHx/Puu+/ecie1iIiIiIiIiPyzKCEsIvIPY21tzbhx4/K8duzYMd5++23Onj1L2bJlGTFiBOHh4Q85QhEREREREREpLKohLCJyh5KTkzGZTCQkJBS4T3R0NK6uroUey3/+8x9+/fVX/v77b44ePcqYMWPM6gwXZmwiIiIiIiIi8uApISwi8i9nMplYvXp1YYcBwPjx46lRo8ZDnfNRun8RERERERGRB00lI0RE5B8nKysLk8mEhYV+7ykiciPv0esKOwQRAZKntC3sEERE5F9M35RFRPKwYcMGGjVqhKurK8WKFaNdu3YkJSXl2TYuLg6TycS6deuoVq0atra21KtXj0OHDuVqu3HjRvz9/XF0dKR169akpqYa1/bs2UOrVq0oXrw4Li4uNG3alP37999R3FlZWfTp04dKlSqRkpICwBdffEHNmjWxtbWlXLlyREREcPXqVQC8vb0B6NChAyaTyTgG+PDDDylfvjzW1tZUrFiRRYsWmc31008/0ahRI2xtbalcuTJbtmy55W7bvMpmrF69GpPJZFyPiIjg4MGDmEwmTCYT0dHRAMyYMYOAgAAcHBzw9PRk0KBBZGRk5Bp7zZo1VK5cGRsbG1JSUm67pre6/1utm4iIiIiIiMjjSglhEZE8XLx4keHDh7N3715iY2OxsLCgQ4cOZGdn59vn9ddfZ/r06ezZswd3d3dCQkK4cuWKcf3SpUtMmzaNRYsW8c0335CSkkJYWJhx/cKFC/Tq1YsdO3awa9cu/Pz8aNOmDRcuXChQzJmZmTz33HMkJCSwfft2ypYty/bt2+nZsyevvfYahw8fZu7cuURHRzNp0iTgWhIaYMGCBaSmphrHq1at4rXXXmPEiBEcOnSIAQMG0Lt3b7Zu3QpcSzy3b98ee3t7du/ezUcffcSbb755Z4t8k65duzJixAiqVKlCamoqqampdO3aFQALCwtmzpzJjz/+SExMDF9//TUjR44063/p0iXeeecd5s+fz48//kiJEiVuu6b53f/t1k1ERERERETkcaWSESIieejUqZPZ8SeffIK7uzuHDx/G0dExzz7jxo2jVatWAMTExFCmTBlWrVpFly5dALhy5Qpz5syhfPnyAAwePJgJEyYY/Zs3b2423kcffYSrqyvbtm2jXbt2t4w3IyODtm3bkpmZydatW3FxcQEgIiKC0aNH06tXLwDKlSvHxIkTGTlyJOPGjcPd3R0AV1dXSpUqZYw3bdo0QkNDGTRoEADDhw9n165dTJs2jWbNmrF582aSkpKIi4sz+k2aNMm4/7thZ2eHo6MjVlZWZrEADB061PjZ29ubt99+m4EDB/LBBx8Y569cucIHH3xA9erVjXO3W9P87v9265aXzMxMMjMzjeP09PQ7XAERERERERGRB087hEVE8nDs2DG6detGuXLlcHZ2NkoJXC/DkJf69esbP7u5uVGxYkUSExONc/b29kYyGMDDw4PTp08bx7///jv9+/fHz88PFxcXnJ2dycjIMOYcOHAgjo6OxutG3bp14+LFi2zatMlIBgMcPHiQCRMmmPXr378/qampXLp0Kd97SUxMpGHDhmbnGjZsaNzPkSNH8PT0NEui1q1bN9/x7tWWLVto0aIFTzzxBE5OTvTo0YMzZ86Y3YO1tTXVqlUz63e7Nc3P3axbZGQkLi4uxsvT0/Peb1xERERERETkPtMOYRGRPISEhODl5cW8efMoXbo02dnZVK1alcuXL9/1mEWKFDE7NplM5OTkGMe9evXizJkzREVF4eXlhY2NDfXr1zfmnDBhglmJiRu1adOG//73v+zcudNsV2xGRgYRERF07NgxVx9bW9u7vpe7YWFhYXa/gFlJjfwkJyfTrl07Xn75ZSZNmoSbmxs7duygb9++XL58GXt7e+DaDuPr9Yivu92a5udu1i08PJzhw4cbx+np6UoKi4iIiIiIyCNHCWERkZucOXOGI0eOMG/ePBo3bgzAjh07bttv165dlC1bFoBz585x9OhR/P39CzxvfHw8H3zwAW3atAHg1KlT/Pnnn8b1EiVKUKJEiTz7vvzyy1StWpVnnnmGdevW0bRpUwBq1qzJkSNH8PX1zXfeIkWKkJWVZXbO39+f+Ph4o2TC9fgqV64MQMWKFTl16hS///47JUuWBP6vHm9+3N3duXDhAhcvXsTBwQGAhIQEszbW1ta5Ytm3bx/Z2dlMnz4dC4trf9iybNmyW851Y8y3WlPI+/4Lsm43s7GxwcbGpsDtRURERERERAqDEsIiIjcpWrQoxYoV46OPPsLDw4OUlBRGjx59234TJkygWLFilCxZkjfffJPixYvTvn37As/r5+fHokWLqF27Nunp6bz++uvY2dkVuP+rr75KVlYW7dq146uvvqJRo0aMHTuWdu3aUbZsWTp37oyFhQUHDx7k0KFDvP3228C1mryxsbE0bNgQGxsbihYtyuuvv06XLl0IDAykZcuWfPnll6xcuZItW7YA0KpVK8qXL0+vXr2YOnUqFy5c4K233gLItUv3uieffBJ7e3veeOMNhgwZwu7du4mOjjZr4+3tzYkTJ0hISKBMmTI4OTnh6+vLlStXmDVrFiEhIcTHxzNnzpz7tqZ53X9B1k1E5HGUPKVtYYcgIiIiIoVMNYRFRG5iYWHB0qVL2bdvH1WrVmXYsGG8++67t+03ZcoUXnvtNWrVqsVvv/3Gl19+ibW1dYHn/fjjjzl37hw1a9akR48eDBkyJN8dwfkZOnQoERERtGnThm+//Zbg4GDWrl3Lpk2bqFOnDvXq1eM///kPXl5eRp/p06ezefNmPD09CQwMBKB9+/ZERUUxbdo0qlSpwty5c1mwYAFBQUEAWFpasnr1ajIyMqhTpw79+vXjzTffBPIvqeDm5sZ///tf1q9fT0BAAEuWLGH8+PFmbTp16kTr1q1p1qwZ7u7uLFmyhOrVqzNjxgzeeecdqlatyuLFi4mMjLxva5rX/Rdk3UREREREREQeR6acmws6iojIHYmLi6NZs2acO3cOV1fXwg6n0MTHx9OoUSOOHz9u9vC8f6v09HRcXFxIS0vD2dm5sMMRERERERGRf7iCfg9VyQgREbkrq1atwtHRET8/P44fP85rr71Gw4YNlQwWEREREREReYQpISwiInflwoULjBo1ipSUFIoXL07Lli2ZPn16YYclIiIiIiIiIregkhEiIvfBo1g2wtvbm5MnTwIUOK6goCBq1KjBe++992CDe8zczVqqZISIiIiIiIg8TAX9HqqHyomI3AcNGjQgNTUVFxcXAKKjo+8qMRwXF4fJZOL8+fP3Ja4JEyaYxXU7K1euZOLEifdl7nsRFBTE0KFDCzsMw549e1ixYkVhhyEiIiIiIiJyz1QyQkTkPrC2tqZUqVKFHUYuTk5OdxSXm5vbA4wmt8uXL2NtbX1XfXNycsjKysLK6sH/r8zd3f2hr42IyIPgPXpdYYfwSEie0rawQxAREREpNNohLCKPvQ0bNtCoUSNcXV0pVqwY7dq1IykpyazN//73P7p164abmxsODg7Url2b3bt3G9c//PBDypcvj7W1NRUrVmTRokVm/U0mE/Pnz6dDhw7Y29vj5+fHmjVrjOs37uyNi4ujd+/epKWlYTKZMJlMjB8/HoBFixZRu3ZtI1H7wgsvcPr0aQCSk5Np1qwZAEWLFsVkMhEaGgpAdnY2kZGR+Pj4YGdnR/Xq1Vm+fPldrVd8fDxBQUHY29tTtGhRgoODOXfuHJB7Z+4HH3yAn58ftra2lCxZks6dO99y7BUrVlClShVsbGzw9vbOVVPY29ubiRMn0rNnT5ydnXnppZdyjREaGsq2bduIiooy1i85OdlY46+++opatWphY2PDjh07SEpK4tlnn6VkyZI4OjpSp04dtmzZkmveyZMn06dPH5ycnChbtiwfffSRcf3y5csMHjwYDw8PbG1t8fLyIjIy8k6XVkREREREROSRp4SwiDz2Ll68yPDhw9m7dy+xsbFYWFjQoUMHsrOzAcjIyKBp06b88ssvrFmzhoMHDzJy5Ejj+qpVq3jttdcYMWIEhw4dYsCAAfTu3ZutW7eazRMREUGXLl34/vvvadOmDd27d+fs2bO54mnQoAHvvfcezs7OpKamkpqaSlhYGABXrlxh4sSJHDx4kNWrV5OcnGwkfT09PY2yBEeOHCE1NZWoqCgAIiMjWbhwIXPmzOHHH39k2LBhvPjii2zbtu2O1iohIYEWLVpQuXJldu7cyY4dOwgJCSErKytX27179zJkyBAmTJjAkSNH2LBhA02aNMl37H379tGlSxeef/55fvjhB8aPH8+YMWOIjo42azdt2jSqV6/OgQMHGDNmTK5xoqKiqF+/Pv379zfWz9PT07g+evRopkyZQmJiItWqVSMjI4M2bdoQGxvLgQMHaN26NSEhIaSkpJiNO336dGrXrs2BAwcYNGgQL7/8MkeOHAFg5syZrFmzhmXLlnHkyBEWL16Mt7f3HaysiIiIiIiIyONBJSNE5LHXqVMns+NPPvkEd3d3Dh8+TNWqVfn000/5448/2LNnj/Fn/76+vkb7adOmERoayqBBgwAYPnw4u3btYtq0acaOXbi2c7Vbt24ATJ48mZkzZ/Ldd9/RunVrs/mtra1xcXHBZDLlKtfQp08f4+dy5coxc+ZM6tSpQ0ZGBo6OjkZ8JUqUMGoQZ2ZmMnnyZLZs2UL9+vWNvjt27GDu3Lk0bdq0wGs1depUateuzQcffGCcq1KlSp5tU1JScHBwoF27djg5OeHl5UVgYGC+Y8+YMYMWLVoYSd4KFSpw+PBh3n33XSPpDdC8eXNGjBiR7zguLi5YW1tjb2+fZ7mLCRMm0KpVK+PYzc2N6tWrG8cTJ05k1apVrFmzhsGDBxvn27RpY7zHo0aN4j//+Q9bt26lYsWKpKSk4OfnR6NGjTCZTHh5eeUbX34yMzPJzMw0jtPT0+94DBEREREREZEHTTuEReSxd+zYMbp160a5cuVwdnY2dnZe3yGakJBAYGBgvjVgExMTadiwodm5hg0bkpiYaHauWrVqxs8ODg44Ozsb5R4Kat++fYSEhFC2bFmcnJyMZO7Nu1lvdPz4cS5dukSrVq1wdHQ0XgsXLsxVGuN2ru8QLohWrVrh5eVFuXLl6NGjB4sXL+bSpUv5ts9vHY8dO2a2A7l27dp3FPPNbu6fkZFBWFgY/v7+uLq64ujoSGJiYq41vfH9u56sv/7+hYaGkpCQQMWKFRkyZAibNm2647giIyNxcXExXjfuahYRERERERF5VCghLCKPvZCQEM6ePcu8efPYvXu3URv48uXLANjZ2d2XeYoUKWJ2bDKZjLITBXHx4kWCg4NxdnZm8eLF7Nmzh1WrVpnFmpeMjAwA1q1bR0JCgvE6fPjwHdcRvpO1cHJyYv/+/SxZsgQPDw/Gjh1L9erVOX/+/B3NeTMHB4f72j8sLIxVq1YxefJktm/fTkJCAgEBAbnW9FbvX82aNTlx4gQTJ07kr7/+okuXLretl3yz8PBw0tLSjNepU6fu4u5EREREREREHiwlhEXksXbmzBmOHDnCW2+9RYsWLfD39zcekHZdtWrVSEhIyLPeL4C/vz/x8fFm5+Lj46lcufJdx2VtbZ2rLu9PP/3EmTNnmDJlCo0bN6ZSpUq5dhhbW1sDmPWtXLkyNjY2pKSk4Ovra/a6012o1apVIzY2tsDtraysaNmyJVOnTuX7778nOTmZr7/+Os+2+a1jhQoVsLS0vKM481q//MTHxxMaGkqHDh0ICAigVKlSJCcn39F8AM7OznTt2pV58+bx2WefsWLFinw/M3mxsbHB2dnZ7CUiIiIiIiLyqFENYRF5rBUtWpRixYrx0Ucf4eHhQUpKCqNHjzZr061bNyZPnkz79u2JjIzEw8ODAwcOULp0aerXr8/rr79Oly5dCAwMpGXLlnz55ZesXLmSLVu23HVc3t7eZGRkEBsbS/Xq1bG3t6ds2bJYW1sza9YsBg4cyKFDh5g4caJZPy8vL0wmE2vXrqVNmzbY2dnh5OREWFgYw4YNIzs7m0aNGpGWlkZ8fDzOzs706tWrwHGFh4cTEBDAoEGDGDhwINbW1mzdupXnnnuO4sWLm7Vdu3YtP//8M02aNKFo0aKsX7+e7OxsKlasmOfYI0aMoE6dOkycOJGuXbuyc+dOZs+ebVav+E7Wb/fu3SQnJ5vVVs6Ln58fK1euJCQkBJPJxJgxY+5o5zZcq3/s4eFBYGAgFhYWfP7555QqVcqo4ywi8k+RPKVtYYcgIiIiIoVMO4RF5LFmYWHB0qVL2bdvH1WrVmXYsGG8++67Zm2sra3ZtGkTJUqUoE2bNgQEBDBlyhRj12r79u2Jiopi2rRpVKlShblz57JgwQKCgoLuOq4GDRowcOBAunbtiru7O1OnTsXd3Z3o6Gg+//xzKleuzJQpU5g2bZpZvyeeeIKIiAhGjx5NyZIljYeiTZw4kTFjxhAZGYm/vz+tW7dm3bp1+Pj43FFcFSpUYNOmTRw8eJC6detSv359vvjiC6yscv9+0NXVlZUrV9K8eXP8/f2ZM2cOS5YsyfchdDVr1mTZsmUsXbqUqlWrMnbsWCZMmGD2QLmCCgsLw9LSksqVK+Pu7n7LGsszZsygaNGiNGjQgJCQEIKDg6lZs+Ydzefk5GQ8cK9OnTokJyezfv16LCz0v0kRERERERH5ZzHl5OTkFHYQIiJy/3l7ezN06FCGDh1a2KH8I8TFxdGsWTPOnTtXoJ3D6enpuLi4kJaWpvIRIiIiIiIi8sAV9Huotj6JiPyDjRo1CkdHR9LS0go7lMdalSpVePrppws7DBEREREREZF7phrCIiL/UNu2bePKlSvAtZIIcvfWr19vrKV2+4qIiIiIiMjjTDuEReRfKTQ0lPbt29/XMYOCgh6J8gzR0dG4urri5eWFr68vvr6+edbCNZlMrF69+qHE1KRJEz799NOHMtf99ueff1KnTh1sbW3zXUsRERERERGRx4W+1YrIv1JUVBTR0dGFHcYD0bVrV44ePWocjx8/nho1auRql5qa+lDKIKxZs4bff/+d559/3uz8gQMHeO655yhZsiS2trb4+fnRv39/s9ivO3PmDGXKlMFkMnH+/Plbzjd+/HhMJhMmkwkrKyuKFy9OkyZNeO+998jMzMzV/vjx4/Tu3ZsyZcpgY2ODj48P3bp1Y+/evQAUL16cnj17Mm7cuLtfBBEREREREZFHhEpGiMi/kouLS2GHcMcuX76MtbX1bdvZ2dlhZ2d323alSpW6H2Hd1syZM+ndu7fZztq1a9fSqVMngoODWbx4MeXLl+f06dN8/vnnjBkzhs8++8xsjL59+1KtWjV++eWXAs1ZpUoVtmzZQnZ2NmfOnCEuLo63336bRYsWERcXZ5TQ2Lt3Ly1atKBq1arMnTuXSpUqceHCBb744gtGjBjBtm3bAOjduze1atXi3Xffxc3N7T6tjIjIw+c9et19Gyt5Stv7NpaIiIiIPDzaISwihWb58uUEBARgZ2dHsWLFaNmyJRcvXgTyLr/Qvn17QkNDjePMzExGjRqFp6cnNjY2+Pr68vHHHxvXf/zxR9q1a4ezszNOTk40btyYpKQkIHfJiKCgIIYMGcLIkSNxc3OjVKlSjB8/3rjep08f2rVrZxbPlStXKFGihNmcN7pVfFlZWfTt2xcfHx/s7OyoWLEiUVFRZv2vxzhp0iRKly5NxYoVSU5OxmQysXLlSpo1a4a9vT3Vq1dn586dRr/rJSOu/xwREcHBgweNXbPXd0bfWDKiIOMC7Nixg8aNG2NnZ4enpydDhgwx3rO8/PHHH3z99deEhIQY5y5dukTv3r1p06YNa9asoWXLlvj4+PDkk08ybdo05s6dazbGhx9+yPnz5wkLC8t3nptZWVlRqlQpSpcuTUBAAK+++irbtm3j0KFDvPPOOwDk5OQQGhqKn58f27dvp23btpQvX54aNWowbtw4vvjiC2O8KlWqULp0aVatWlXgGEREREREREQeRUoIi0ihSE1NpVu3bvTp04fExETi4uLo2LEjOTk5BR6jZ8+eLFmyhJkzZ5KYmMjcuXNxdHQE4JdffqFJkybY2Njw9ddfs2/fPvr06cPVq1fzHS8mJgYHBwd2797N1KlTmTBhAps3bwagX79+bNiwgdTUVKP92rVruXTpEl27dr3j+LKzsylTpgyff/45hw8fZuzYsbzxxhssW7bMbIzY2FiOHDnC5s2bWbt2rXH+zTffJCwsjISEBCpUqEC3bt3yvLeuXbsyYsQIqlSpQmpqKqmpqfnGe7txk5KSaN26NZ06deL777/ns88+Y8eOHQwePDjf8Xbs2IG9vT3+/v7GuY0bN/Lnn38ycuTIPPtcT2YDHD58mAkTJrBw4cJ7rt1bqVIlnn76aVauXAlAQkICP/74IyNGjMhz7BvjAKhbty7bt2+/pxhERERERERECptKRohIoUhNTeXq1at07NgRLy8vAAICAgrc/+jRoyxbtozNmzfTsmVLAMqVK2dcf//993FxcWHp0qUUKVIEgAoVKtxyzGrVqhl1Yv38/Jg9ezaxsbG0atWKBg0aULFiRRYtWmQkMhcsWMBzzz1nJHnvJL4iRYoQERFhHPv4+LBz506WLVtGly5djPMODg7Mnz/fKBWRnJwMQFhYGG3bXvtT3YiICKpUqcLx48epVKmSWRx2dnY4OjoaO2Zv51bjRkZG0r17d2Pntp+fHzNnzqRp06Z8+OGH2Nra5hrv5MmTlCxZ0izheuzYMYBcsd4sMzOTbt268e6771K2bFl+/vnn28Z/O5UqVWLTpk13FMd1pUuX5sCBA7eM98Yaxenp6fcQqYiIiIiIiMiDoR3CIlIoqlevTosWLQgICOC5555j3rx5nDt3rsD9ExISsLS0pGnTpvleb9y4sZEMLohq1aqZHXt4eHD69GnjuF+/fixYsACA33//na+++oo+ffrcVXxwLWldq1Yt3N3dcXR05KOPPiIlJcWsTUBAQJ51g2+M1cPDA8As1rt1q3EPHjxIdHQ0jo6Oxis4OJjs7GxOnDiR53h//fVXrkRxQXeBh4eH4+/vz4svvpjn9ZSUFLNYJk+efNsxc3JyMJlMdxTHdXZ2dly6dCnf65GRkbi4uBgvT0/POxpfRERERERE5GFQQlhECoWlpSWbN2/mq6++onLlysyaNYuKFSsaiUULC4tcCbsrV64YP9/uoWkFeajazW5OHptMJrKzs43jnj178vPPP7Nz507++9//4uPjQ+PGje9q/qVLlxIWFkbfvn3ZtGkTCQkJ9O7dm8uXL5u1c3BwuG2s1xOcN8Z6t241bkZGBgMGDCAhIcF4HTx4kGPHjlG+fPk8xytevHiuRP/1ndo//fTTLWP5+uuv+fzzz7GyssLKyooWLVoYY44bN47SpUubxTJw4MDb3l9iYiI+Pj53FMd1Z8+exd3dPd/r4eHhpKWlGa9Tp04VaFwRERERERGRh0kJYREpNCaTiYYNGxIREcGBAwewtrY2Htrl7u5uVq83KyuLQ4cOGccBAQFkZ2ezbdu2PMeuVq0a27dvN0si36tixYrRvn17FixYQHR0NL1798637e3ii4+Pp0GDBgwaNIjAwEB8fX2NB97db9bW1mRlZd3zODVr1uTw4cP4+vrmeuW1ixkgMDCQ3377zSwp/NRTT1G8eHGmTp2aZ5/z588DsGLFCg4ePGgkfOfPnw/A9u3beeWVV7CysjKLwc3N7Zbx//TTT2zYsIFOnToBUKNGDSpXrsz06dPzTKZfj+O6Q4cOERgYmO/4NjY2ODs7m71EREREREREHjWqISwihWL37t3Exsby1FNPUaJECXbv3s0ff/xhPHysefPmDB8+nHXr1lG+fHlmzJhhlqDz9vamV69e9OnTh5kzZ1K9enVOnjzJ6dOn6dKlC4MHD2bWrFk8//zzhIeH4+Liwq5du6hbty4VK1a867j79etHu3btyMrKolevXvm2u118fn5+LFy4kI0bN+Lj48OiRYvYs2ePsXv1fvL29ubEiRMkJCRQpkwZnJycsLGxueNxRo0aRb169Rg8eDD9+vXDwcGBw4cPs3nzZmbPnp1nn8DAQIoXL058fDzt2rUD/q8u8nPPPcczzzzDkCFD8PX15c8//2TZsmWkpKSwdOnSXLuO//zzTwD8/f1zPfDtZlevXuW3334jOzubM2fOEBcXx9tvv02NGjV4/fXXgWu/kFiwYAEtW7akcePGvPnmm1SqVImMjAy+/PJLNm3aZCT0L126xL59+wpUlkJE5FGWPKVtYYcgIiIiIoVMO4RFpFA4OzvzzTff0KZNGypUqMBbb73F9OnTefrppwHo06cPvXr1omfPnjRt2pRy5crRrFkzszE+/PBDOnfuzKBBg6hUqRL9+/fn4sWLwLXdvF9//TUZGRk0bdqUWrVqMW/evDuqKZyXli1b4uHhQXBwMKVLl75l21vFN2DAADp27EjXrl158sknOXPmDIMGDbqn2PLTqVMnWrduTbNmzXB3d2fJkiV3NU61atXYtm0bR48epXHjxgQGBjJ27NhbroOlpSW9e/dm8eLFZuefffZZvv32W4oUKcILL7xApUqV6NatG2lpabz99tt3Fd+NfvzxRzw8PChbtixBQUEsW7aM8PBwtm/fbvYQwLp167J37158fX3p378//v7+PPPMM/z444+89957RrsvvviCsmXL5lsiRERERERERORxYcq506fqiIj8i2VkZPDEE0+wYMECOnbsWNjhPBZ+++03qlSpwv79+/Hy8irscO5KvXr1GDJkCC+88EKB+6Snp+Pi4kJaWprKR4iIiIiIiMgDV9DvodohLCJSANnZ2Zw+fZqJEyfi6urKM888U9ghPTZKlSrFxx9/TEpKSmGHclf+/PNPOnbsSLdu3Qo7FBEREREREZF7ph3CIiIFkJycjI+PD2XKlCE6OpoWLVoUdkjyiNMOYREREREREXmYtENY5F9o/Pjx1KhRo7DDyJPJZGL16tXAteSqyWQiISEBgLi4OEwmk9lD4x6UM2fOUKJECZKTk++on7e3Nzk5OZw6deqRSQaHhobSvn37hz7Gje/lg/IofZYPHz5MmTJljPrPIiIiIiIiIo8zJYRFHnFBQUEMHTq0QG3DwsKIjY19sAE9AA0aNCA1NRUXF5cHPtekSZN49tln8fb2Bv4vOV2iRAkuXLhg1rZGjRqMHz/eOA4KCiI6OvqBx3izmxPohS01NdV4+N/9kFeC+UF8lu/2Fw+VK1emXr16zJgx477GIyIiIiIiIlIYrAo7ABG5dzk5OWRlZeHo6Iijo2Nhh3PHrK2tKVWq1AOf59KlS3z88cds3Lgx17ULFy4wbdo0IiIiHngcj7uH8V49ap/l3r17079/f8LDw7Gy0v86Rf6tvEevK+wQ7lnylLaFHYKIiIiIFDLtEBZ5hIWGhrJt2zaioqIwmUyYTCaSk5ONnY5fffUVtWrVwsbGhh07duT6M/urV68yZMgQXF1dKVasGKNGjaJXr15mJQIyMzMZMmQIJUqUwNbWlkaNGrFnzx7j+vW5YmNjqV27Nvb29jRo0IAjR46YxfrFF19Qs2ZNbG1tKVeuHBEREVy9erVA93nzzs3o6GhcXV3ZuHEj/v7+ODo60rp1a1JTU836zZ8/H39/f2xtbalUqRIffPDBLedZv349NjY21KtXL9e1V199lRkzZnD69OkCxZyX6zt5ly1bRuPGjbGzs6NOnTocPXqUPXv2ULt2bRwdHXn66af5448/CnwvPj4+AAQGBmIymQgKCjLrO23aNDw8PChWrBivvPIKV65cAWDChAlUrVo1V5w1atRgzJgxed5DUFAQQ4YMYeTIkbi5uVGqVCmzXdKQe0fv//73P7p164abmxsODg7Url2b3bt3G9c//PBDypcvj7W1NRUrVmTRokXGtes7tTt06IDJZDKOb/4sXy9tkd+9AixatIjatWvj5OREqVKleOGFF4z3Mzk5mWbNmgFQtGhRTCYToaGhwLUHBkZGRuLj44OdnR3Vq1dn+fLlZvfcqlUrzp49y7Zt2/JcNxEREREREZHHhRLCIo+wqKgo6tevT//+/UlNTSU1NRVPT0/j+ujRo5kyZQqJiYlUq1YtV/933nmHxYsXs2DBAuLj40lPT8/1p/kjR45kxYoVxMTEsH//fnx9fQkODubs2bNm7d58802mT5/O3r17sbKyok+fPsa17du307NnT1577TUOHz7M3LlziY6OZtKkSXd975cuXWLatGksWrSIb775hpSUFMLCwozrixcvZuzYsUyaNInExEQmT57MmDFjiImJyXfM7du3U6tWrTyvdevWDV9fXyZMmHDXMV83btw43nrrLfbv34+VlRUvvPACI0eOJCoqiu3bt3P8+HHGjh1b4Hv57rvvANiyZQupqamsXLnS6Lt161aSkpLYunUrMTExREdHG2Ut+vTpQ2JiolmC/8CBA3z//ff07t073/hjYmJwcHBg9+7dTJ06lQkTJrB58+Y822ZkZNC0aVN++eUX1qxZw8GDBxk5ciTZ2dkArFq1itdee40RI0Zw6NAhBgwYQO/evdm6dSuAEduCBQtITU01i/Vmt7pXgCtXrjBx4kQOHjzI6tWrSU5ONpK+np6erFixAoAjR46QmppKVFQUAJGRkSxcuJA5c+bw448/MmzYMF588UWz5K+1tTU1atRg+/bt+caXmZlJenq62UtERERERETkUaO/exV5hLm4uGBtbY29vX2ef6Y/YcIEWrVqlW//WbNmER4eTocOHQCYPXs269evN65fvHiRDz/8kOjoaKMm7Lx589i8eTMff/wxr7/+utF20qRJNG3aFLiWiG7bti1///03tra2REREMHr0aHr16gVAuXLlmDhxIiNHjmTcuHF3de9Xrlxhzpw5lC9fHoDBgwebJWvHjRvH9OnT6dixI3BtF+31ZPT1OG528uRJSpcunec1k8nElClTCAkJYdiwYca8N4qLiytQ7GFhYQQHBwPw2muv0a1bN2JjY2nYsCEAffv2NUtk3u5e3N3dAShWrFiuz0HRokWZPXs2lpaWVKpUibZt2xIbG0v//v0pU6YMwcHBLFiwgDp16gDXEq9NmzalXLly+cZfrVo1433z8/Nj9uzZxMbG5vlZ+/TTT/njjz/Ys2cPbm5uAPj6+hrXp02bRmhoKIMGDQJg+PDh7Nq1i2nTptGsWTPj3lxdXW9biuJW9wqY/ZKiXLlyzJw5kzp16pCRkYGjo6MRX4kSJXB1dQWuJXEnT57Mli1bqF+/vtF3x44dzJ071/jMA5QuXZqTJ0/mG19kZKRKjoiIiIiIiMgjTzuERR5jtWvXzvdaWloav//+O3Xr1jXOWVpamu2QTUpK4sqVK0aiEqBIkSLUrVuXxMREs/Fu3IHs4eEBYPw5/sGDB5kwYYJR99XR0dHY1Xzp0qW7ujd7e3uzpKyHh4cx38WLF0lKSqJv375mc7799tskJSXlO+Zff/2Fra1tvteDg4Np1KhRvuUUbjRw4ECzuW9041qVLFkSgICAALNz93ov11WpUgVLS0vj+MZ1Aujfvz9Llizh77//5vLly3z66admidO83Lzb/OYxb5SQkEBgYKCRbL1ZYmKi2ecLoGHDhrk+XwVxu3vdt28fISEhlC1bFicnJyOZm5KSku+Yx48f59KlS7Rq1cps/RcuXJhr/e3s7G75eQ4PDyctLc14nTp16o7vUURERERERORB0w5hkceYg4PDQ5urSJEixs8mkwnAKAuQkZFBRESEscP1RrdKwBZ0vutz5uTkGPPBtd3MTz75pFm7GxOGNytevDjnzp275bxTpkyhfv36Zruj8zJhwgSzEhb5xX59rW4+d+PawZ3fS15z3Tw2QEhICDY2NqxatQpra2uuXLlC586d72nMG9nZ2d02xvvlVnFdvHiR4OBggoODWbx4Me7u7qSkpBAcHMzly5fzHfP6+q9bt44nnnjC7JqNjY3Z8dmzZ/PcOX5j+5v7iIiIiIiIiDxqlBAWecRZW1uTlZV1x/1cXFwoWbIke/bsoUmTJgBkZWWxf/9+42Fd1x/0FR8fj5eXF3CtVMOePXsYOnRogeeqWbMmR44cMSsV8CCVLFmS0qVL8/PPP9O9e/cC9wsMDOS///3vLdvUrVuXjh07Mnr06Fu2K1GiBCVKlCjw3PkpyL1YW1sD3NXnwMrKil69erFgwQKsra15/vnn72sSt1q1asyfP5+zZ8/muUvY39+f+Ph4szIe8fHxVK5c2TguUqTIXd3bjX766SfOnDnDlClTjDrbe/fuNWuT1zpWrlwZGxsbUlJSzMpD5OXQoUO3TaaLiIiIiIiIPOqUEBZ5xHl7e7N7926Sk5PN6qAWxKuvvkpkZCS+vr5UqlSJWbNmce7cOWPXqoODAy+//DKvv/46bm5ulC1blqlTp3Lp0iX69u1b4HnGjh1Lu3btKFu2LJ07d8bCwoKDBw9y6NAh3n777Tu+54KIiIhgyJAhuLi40Lp1azIzM9m7dy/nzp1j+PDhefYJDg4mPDycc+fOUbRo0XzHnjRpElWqVMHK6uH8E3m7eylRogR2dnZs2LCBMmXKYGtri4uLS4HH79evH/7+/sC1ZOz91K1bNyZPnkz79u2JjIzEw8ODAwcOULp0aWOndZcuXQgMDKRly5Z8+eWXrFy5ki1bthhjeHt7GzWWbWxsbvne5Kds2bJYW1sza9YsBg4cyKFDh5g4caJZGy8vL0wmE2vXrqVNmzbY2dnh5OREWFgYw4YNIzs7m0aNGpGWlkZ8fDzOzs5GIjs5OZlffvmFli1b3tuCichjLXlK28IOQURERETknqmGsMgjLiwsDEtLSypXrmz8GXxBjRo1im7dutGzZ0/q16+Po6MjwcHBZmUcpkyZQqdOnejRowc1a9bk+PHjbNy48Y6ScsHBwaxdu5ZNmzZRp04d6tWrx3/+8x9j1/GD0K9fP+bPn8+CBQsICAigadOmREdH4+Pjk2+fgIAAatasybJly245doUKFejTpw9///33/Q47T7e7FysrK2bOnMncuXMpXbo0zz777B2N7+fnR4MGDahUqVKushT3ytramk2bNlGiRAnatGlDQEAAU6ZMMcpdtG/fnqioKKZNm0aVKlWYO3cuCxYsICgoyBhj+vTpbN68GU9PTwIDA+8qDnd3d6Kjo/n888+pXLkyU6ZMYdq0aWZtnnjiCeMBiCVLlmTw4MEATJw4kTFjxhAZGYm/vz+tW7dm3bp1Zp+lJUuW8NRTTz3Qz7SIiIiIiIjIw2DKuV6UU0T+8bKzs/H396dLly65dk/+W6xbt47XX3+dQ4cOYWHx7/idWE5ODn5+fgwaNCjf3dOSv8uXL+Pn58enn36a6wF5t5Keno6LiwtpaWk4Ozs/wAhFRERERERECv49VCUjRP7BTp48yaZNm2jatCmZmZnMnj2bEydO8MILLxR2aIWmbdu2HDt2jF9++cWoNftP9scff7B06VJ+++03evfuXdjhPJZSUlJ444037igZLCIiIiIiIvKoUkJY5B/MwsKC6OhowsLCyMnJoWrVqmzZssWoJ/tvdScPzHvclShRguLFi/PRRx/dVW1eAV9f34f2wEQRERERERGRB00JYZF/ME9Pz/v+EDF5vDzIqkBxcXE0a9aMc+fO4erq+sDmEREREREREZH7599RQFNERO5ZUFDQP253dWhoKO3bty/sMEREREREREQeGu0QFhGRh+by5ctYW1sXdhgiIv9a3qPXFXYIj6XkKW0LOwQRERGR+0Y7hEVE5LZCQ0PZtm0bUVFRmEwmTCYTycnJAOzbt4/atWtjb29PgwYNOHLkiNFv/Pjx1KhRg/nz5+Pj44OtrS0A58+fp1+/fri7u+Ps7Ezz5s05ePCg2Zwffvgh5cuXx9ramooVK7Jo0SKz6yaTifnz59OhQwfs7e3x8/NjzZo1xvWsrCz69u2Lj48PdnZ2VKxYkaioKLPYYmJi+OKLL4x7iouLA+DUqVN06dIFV1dX3NzcePbZZ437FREREREREXmcKSEsIiK3FRUVRf369enfvz+pqamkpqbi6ekJwJtvvsn06dPZu3cvVlZW9OnTx6zv8ePHWbFiBStXriQhIQGA5557jtOnT/PVV1+xb98+atasSYsWLTh79iwAq1at4rXXXmPEiBEcOnSIAQMG0Lt3b7Zu3Wo2dkREBF26dOH777+nTZs2dO/e3RgjOzubMmXK8Pnnn3P48GHGjh3LG2+8wbJlywAICwujS5cutG7d2rinBg0acOXKFYKDg3FycmL79u3Ex8fj6OhI69atuXz5cr5rlJmZSXp6utlLRERERERE5FGjkhEiInJbLi4uWFtbY29vT6lSpQD46aefAJg0aRJNmzYFYPTo0bRt25a///7b2A18+fJlFi5ciLu7OwA7duzgu+++4/Tp09jY2AAwbdo0Vq9ezfLly3nppZeYNm0aoaGhDBo0CIDhw4eza9cupk2bRrNmzYy4QkND6datGwCTJ09m5syZfPfdd7Ru3ZoiRYoQERFhtPXx8WHnzp0sW7aMLl264OjoiJ2dHZmZmcY9Afz3v/8lOzub+fPnYzKZAFiwYAGurq7ExcXx1FNP5blGkZGRZvOJiIiIiIiIPIq0Q1hERO5JtWrVjJ89PDwAOH36tHHOy8vLSAYDHDx4kIyMDIoVK4ajo6PxOnHiBElJSQAkJibSsGFDs3kaNmxIYmJivnM7ODjg7OxsNvf7779PrVq1cHd3x9HRkY8++oiUlJRb3s/Bgwc5fvw4Tk5ORmxubm78/fffRnx5CQ8PJy0tzXidOnXqlvOIiIiIiIiIFAbtEBYRkXtSpEgR4+frO2qzs7ONcw4ODmbtMzIy8PDwMOr13sjV1fWu574+//W5ly5dSlhYGNOnT6d+/fo4OTnx7rvvsnv37luOmZGRQa1atVi8eHGuazcmtm9mY2Nj7HgWEREREREReVQpISwiIgVibW1NVlbWPY9Ts2ZNfvvtN6ysrPD29s6zjb+/P/Hx8fTq1cs4Fx8fT+XKlQs8T3x8PA0aNDDKTgC5dvjmdU81a9bks88+o0SJEjg7Oxd4PhEREREREZHHgRLCIiJSIN7e3uzevZvk5GQcHR3NdgHfiZYtW1K/fn3at2/P1KlTqVChAr/++ivr1q2jQ4cO1K5dm9dff50uXboQGBhIy5Yt+fLLL1m5ciVbtmwp8Dx+fn4sXLiQjRs34uPjw6JFi9izZw8+Pj5m97Rx40aOHDlCsWLFcHFxoXv37rz77rs8++yzTJgwgTJlynDy5ElWrlzJyJEjKVOmzF3dt4jIoyB5StvCDkFERERECplqCIuISIGEhYVhaWlJ5cqVcXd3v20t3vyYTCbWr19PkyZN6N27NxUqVOD555/n5MmTlCxZEoD27dsTFRXFtGnTqFKlCnPnzmXBggUEBQUVeJ4BAwbQsWNHunbtypNPPsmZM2fMdgsD9O/fn4oVK1K7dm3c3d2Jj4/H3t6eb775hrJly9KxY0f8/f3p27cvf//9t3YMi4iIiIiIyGPPlJOTk1PYQYiIiPzTpKen4+LiQlpamhLJIiIiIiIi8sAV9HuodgiLiIiIiIiIiIiI/EsoISwiIiIiIiIiIiLyL6GEsIjIIyIuLg6TycT58+fv25jJycmYTCYSEhJu2e7IkSOUKlWKCxcu3PexH5TQ0FDat2//wOf5888/KVGiBP/73/8e+FwiIiIiIiIiD5oSwiIihSAoKIihQ4eanWvQoAGpqam4uLg89HjCw8N59dVXcXJyYsWKFVhaWvLLL7/k2dbPz4/hw4fj6elJamoqVatWBR5MQvtWoqKiiI6Ovi9j/e9//8Pa2tq4lxsVL16cnj17Mm7cuPsyl4iIiIiIiEhhsirsAERE/kkuX76MtbX1XfW1tramVKlS9zmi20tJSWHt2rXMmjULgGeeeYZixYoRExPDG2+8Ydb2m2++4fjx4/Tt2xdLS8tCife6+5k4j46OpkuXLnzzzTfs3r2bJ5980ux67969qVWrFu+++y5ubm73bV4RkYfNe/S6wg5BCknylLaFHYKIiIg8IrRDWETkHgQFBTF48GCGDh1K8eLFCQ4OBuDQoUM8/fTTODo6UrJkSXr06MGff/4JXCt1sG3bNqKiojCZTJhMJpKTk3PtsI2OjsbV1ZWNGzfi7++Po6MjrVu3JjU11Zg/OzubCRMmUKZMGWxsbKhRowYbNmy4o3tYtmwZ1atX54knngCgSJEi9OjRI8/dt5988glPPvkkVapUMSsZkZycTLNmzQAoWrQoJpOJ0NBQADZs2ECjRo1wdXWlWLFitGvXjqSkJGPM6+MsW7aMxo0bY2dnR506dTh69Ch79uyhdu3aODo68vTTT/PHH38Y/W4uGREUFMSQIUMYOXIkbm5ulCpVivHjx9/2/nNycliwYAE9evTghRde4OOPP87VpkqVKpQuXZpVq1YVYEVFREREREREHl1KCIuI3KOYmBisra2Jj49nzpw5nD9/nubNmxMYGMjevXvZsGEDv//+O126dAGulTqoX78+/fv3JzU1ldTUVDw9PfMc+9KlS0ybNo1FixbxzTffkJKSQlhYmHE9KiqK6dOnM23aNL7//nuCg4N55plnOHbsWIHj3759O7Vr1zY717dvX44dO8Y333xjnMvIyGD58uX07ds31xienp6sWLECuFaPODU1laioKAAuXrzI8OHD2bt3L7GxsVhYWNChQweys7PNxhg3bhxvvfUW+/fvx8rKihdeeIGRI0cSFRXF9u3bOX78OGPHjr3lvcTExODg4MDu3buZOnUqEyZMYPPmzbfss3XrVi5dukTLli158cUXWbp0KRcvXszVrm7dumzfvj3fcTIzM0lPTzd7iYiIiIiIiDxqVDJCROQe+fn5MXXqVOP47bffJjAwkMmTJxvnPvnkEzw9PTl69CgVKlTA2toae3v725ZcuHLlCnPmzKF8+fIADB48mAkTJhjXp02bxqhRo3j++ecBeOedd9i6dSvvvfce77//foHiP3nyZK6EcOXKlalXrx6ffPIJTZo0Aa7tJM7JyTHmupGlpaVRSqFEiRK4uroa1zp16mTW9pNPPsHd3Z3Dhw+b1ewNCwszdli/9tprdOvWjdjYWBo2bAhcS1LfrmZwtWrVjFq/fn5+zJ49m9jYWFq1apVvn48//pjnn38eS0tLqlatSrly5fj888+NHc7XlS5dmgMHDuQ7TmRkJBEREbeMT0RERERERKSwaYewiMg9qlWrltnxwYMH2bp1K46OjsarUqVKAGalEgrC3t7eSAYDeHh4cPr0aQDS09P59ddfjYTpdQ0bNiQxMbHAc/z111/Y2trmOt+nTx+WL1/OhQsXgGuJ3Oeeew4nJ6c7uodjx47RrVs3ypUrh7OzM97e3sC12sU3qlatmvFzyZIlAQgICDA7d/3e83PjGGC+Xnk5f/48K1eu5MUXXzTOvfjii3mWjbCzs+PSpUv5jhUeHk5aWprxOnXq1C1jFRERERERESkM2iEsInKPHBwczI4zMjIICQnhnXfeydXWw8PjjsYuUqSI2bHJZCInJ+fOg7yF4sWLc+7cuVznn3/+eYYNG8ayZcto0qQJ8fHxREZG3vH4ISEheHl5MW/ePEqXLk12djZVq1bl8uXLZu1uvFeTyZTnuZvLTNwsr/W6VZ9PP/2Uv//+2+whcjk5OWRnZxu7ua87e/Ys7u7u+Y5lY2ODjY3NLeMTERERERERKWxKCIuI3Gc1a9ZkxYoVeHt7Y2WV9z+z1tbWZGVl3dM8zs7OlC5dmvj4eJo2bWqcj4+Pp27dugUeJzAwkMOHD+c67+TkxHPPPccnn3xCUlISFSpUoHHjxvmOY21tDWB2X2fOnOHIkSPMmzfP6Ltjx44Cx/agffzxx4wYMSJXeYhBgwbxySefMGXKFOPcoUOHCAoKergBioiIiIiIiNxnSgiLiNxnr7zyCvPmzaNbt26MHDkSNzc3jh8/ztKlS5k/fz6WlpZ4e3uze/dukpOTcXR0NOrv3qnXX3+dcePGUb58eWrUqMGCBQtISEhg8eLFBR4jODiYfv36kZWVhaWlpdm1vn370rhxYxITExk1atQtx/Hy8sJkMrF27VratGmDnZ0dRYv+P/buPDqne/3///OOSGQOEZIQYggSU6JmRQxtTKmhrSlFzKrm2Qc1V0qiplYVFXWoVovqMRUHh9Q8RFVqSBvR07RpDYlEBcn9+8PP/rolIRShfT3W2mvde+/3cO33nXO6cnnn2gVxc3Pjo48+wtPTk4SEBMaMGfNIz/q4HT9+nKNHj7Jy5UqjpMcdnTp1YsqUKUybNg1ra2uuXbvGkSNHLOpCi4g8j+LDW+Z1CCIiIiKSx1RDWETkMbuzazcjI4OXX36ZypUrM2TIEFxdXbGyuv1/uyNGjCBfvnz4+/vj7u6epZ5ubg0aNIhhw4YxfPhwKleuzJYtW9iwYQO+vr65HqN58+ZYW1uzffv2LPdefPFFypcvT0pKCl27dr3vOMWKFWPy5MmMGTOGokWLMmDAAKysrFi9ejVHjhyhUqVKDB06lFmzZj30cz4JS5cuxd/fP0syGKBt27YkJSWxadMmAL766itKlChx3x3SIiIiIiIiIs8Dk/lxF6MUEZHnzvvvv8+GDRvYunVrXofyTKpduzaDBg2ic+fOue6TkpKCi4sLycnJODs7P8HoRERERERERHL/e6hKRoiICH379uXKlStcvXoVJyenvA7nmfLHH3/Qrl07OnXqlNehiIiIiIiIiPxl2iEsIiLyBGiHsIiIiIiIiDxNuf09VDWERUTkL4uPj8dkMnH8+PHHOq7JZGL9+vVPdA4RERERERGRfxIlhEVE5C/z9vYmMTGRSpUqPXdz+Pj4MGfOnMc6poiIiIiIiMizSjWERUTkL8uXLx8eHh7P/RwiIn93PmM25ngvPrzlU4xERERERPKKdgiLiAhpaWl07doVR0dHPD09iYyMJCgoiCFDhgCWpRvucHV1JSoqCshazmHXrl2YTCZ27NhB9erVsbe3p27dupw+fdpijIULF1KmTBlsbGwoX748K1asyDHGR5kjLi6O1q1bU7RoURwdHalRowbbt2837gcFBXH+/HmGDh2KyWTCZDIZ9/bu3Uv9+vWxs7PD29ubQYMGkZaW9pArKyIiIiIiIvJsUUJYREQYOXIku3fv5quvvuKbb75h165dHD169C+PO27cOCIjIzl8+DDW1tb06NHDuLdu3ToGDx7M8OHDOXnyJH379qV79+7s3Lnzsc2RmppKixYt2LFjB8eOHaNZs2aEhISQkJAAwNq1aylevDhTpkwhMTGRxMRE4HYiuVmzZrz66qucOHGCzz77jL179zJgwIAc40hPTyclJcXiEBEREREREXnWqGSEiMg/XGpqKkuXLuVf//oXTZo0AWD58uUUL178L489ffp0GjZsCMCYMWNo2bIl169fp0CBAkRERBAWFkb//v0BGDZsGPv37yciIoJGjRo9ljmqVq1K1apVjbZTp05l3bp1bNiwgQEDBlCoUCHy5cuHk5OTRTmKGTNmEBoaauyQ9vX1Zd68eTRs2JCFCxdSoECBLHHMmDGDyZMnP/QaiYiIiIiIiDxN2iEsIvIPFxcXx40bN6hVq5ZxrVChQpQvX/4vj12lShXjs6enJwBJSUkAxMbGUq9ePYv29erVIzY29rHNkZqayogRI/Dz88PV1RVHR0diY2ONHcI5iYmJISoqCkdHR+MIDg4mMzOTn376Kds+Y8eOJTk52TguXLjwUM8hIiIiIiIi8jRoh7CIiDyQyWTCbDZbXLt58+YD++XPn99iDIDMzMzHGtv95hgxYgTbtm0jIiKCsmXLYmdnx2uvvcaNGzfuO2Zqaip9+/Zl0KBBWe6VKFEi2z62trbY2to+6mOIiIiIiIiIPBVKCIuI/MOVKVOG/Pnzc+DAASPZefnyZc6cOWOUYnB3dzfq6wKcPXuWa9eu/aV5/fz8iI6Oplu3bsa16Oho/P39/9K4d4uOjiYsLIy2bdsCtxO98fHxFm1sbGzIyMiwuFatWjVOnTpF2bJlH1ssIiLPgvjwlnkdgoiIiIjkMSWERUT+4RwdHenZsycjR47Ezc2NIkWKMG7cOKys/l9VocaNG7NgwQLq1KlDRkYGo0ePttiZ+yhGjhxJ+/btCQwMpGnTpnz99desXbuW7du3/9VHMvj6+rJ27VpCQkIwmUxMmDAhyw5lHx8f/vvf/9KxY0dsbW0pXLgwo0ePpnbt2gwYMIBevXrh4ODAqVOn2LZtGwsWLHhs8YmIiIiIiIg8baohLCIizJo1i/r16xMSEkLTpk158cUXeeGFF4z7kZGReHt7U79+fTp37syIESOwt7f/S3O2adOGuXPnEhERQcWKFVm0aBHLli0jKCjoLz7N/zN79mwKFixI3bp1CQkJITg4mGrVqlm0mTJlCvHx8ZQpUwZ3d3fgdl3i3bt3c+bMGerXr09gYCBvv/02Xl5ejy02ERERERERkbxgMt9bFFJERAQICgoiICCAOXPm5HUoz6WUlBRcXFxITk7G2dk5r8MRERERERGRv7nc/h6qHcIiIiIiIiIiIiIi/xBKCIuIyFPh4+PzwN3GJpOJ9evXP5V4RERERERERP6J9FI5ERHJ1q5dux7reIcOHcLBweGxjvlXxcfHU6pUKY4dO0ZAQEBehyMiIiIiIiLyxCkhLCIiT9SNGzewsbExXtgmIvJ34jNmY16H8FDiw1vmdQgiIiIiksdUMkJERCwEBQUxYMAABgwYgIuLC4ULF2bChAmYzWamTJlCpUqVsvQJCAhgwoQJAISFhdGmTRumT5+Ol5cX5cuXB7KWjDh79iwNGjSgQIEC+Pv7s23btizjfvfddzRu3Bg7Ozvc3Nzo06cPqampwO0dzDY2NuzZs8doP3PmTIoUKcJvv/0GwJYtW3jxxRdxdXXFzc2NVq1aERcXZ7QvVaoUAIGBgZhMJoKCgox7S5Yswc/PjwIFClChQgU++OCDR1xRERERERERkWeHEsIiIpLF8uXLsba25uDBg8ydO5fZs2ezZMkSevToQWxsLIcOHTLaHjt2jBMnTtC9e3fj2o4dOzh9+jTbtm3j3//+d5bxMzMzadeuHTY2Nhw4cIAPP/yQ0aNHW7RJS0sjODiYggULcujQIdasWcP27dsZMGAAcDtxPWTIELp06UJycjLHjh1jwoQJLFmyhKJFixpjDBs2jMOHD7Njxw6srKxo27YtmZmZABw8eBCA7du3k5iYyNq1awFYuXIlb7/9NtOnTyc2NpZ33nmHCRMmsHz58se4yiIiIiIiIiJPn0pGiIhIFt7e3rz33nuYTCbKly/Pd999x3vvvUfv3r0JDg5m2bJl1KhRA4Bly5bRsGFDSpcubfR3cHBgyZIl2NjYZDv+9u3b+eGHH9i6dSteXl4AvPPOOzRv3txos2rVKq5fv84nn3xi1B5esGABISEhvPvuuxQtWpRp06axbds2+vTpw8mTJ+nWrRuvvPKKMcarr75qMe/HH3+Mu7s7p06dolKlSkYZCzc3Nzw8PIx2EydOJDIyknbt2gG3dxKfOnWKRYsW0a1bt2yfKT09nfT0dOM8JSXlAassIiIiIiIi8vRph7CIiGRRu3ZtTCaTcV6nTh3Onj1LRkYGvXv35tNPP+X69evcuHGDVatW0aNHD4v+lStXzjEZDBAbG4u3t7eRDL4zx71tqlatavEiunr16pGZmcnp06cBsLGxYeXKlXz55Zdcv36d9957z2KMs2fP0qlTJ0qXLo2zszM+Pj4AJCQk5BhbWloacXFx9OzZE0dHR+OYNm2aRbmJe82YMQMXFxfj8Pb2zrGtiIiIiIiISF7RDmEREXkoISEh2Nrasm7dOmxsbLh58yavvfaaRZu7k7hP2rfffgvApUuXuHTpksXcISEhlCxZksWLF+Pl5UVmZiaVKlXixo0bOY53p0bx4sWLqVWrlsW9fPny5dhv7NixDBs2zDhPSUlRUlhERERERESeOUoIi4hIFgcOHLA4379/P76+vkZCtFu3bixbtgwbGxs6duyInZ3dQ43v5+fHhQsXSExMxNPT05jj3jZRUVGkpaUZSd7o6GisrKyMF9XFxcUxdOhQFi9ezGeffUa3bt3Yvn07VlZWXLx4kdOnT7N48WLq168PwN69ey3muLOLOSMjw7hWtGhRvLy8+PHHHwkNDc31M9na2mJra/tQ6yAiIiIiIiLytCkhLCIiWSQkJDBs2DD69u3L0aNHmT9/PpGRkcb9Xr164efnB9xO0j6spk2bUq5cObp168asWbNISUlh3LhxFm1CQ0OZOHEi3bp1Y9KkSfz+++8MHDiQLl26ULRoUTIyMnjjjTcIDg6me/fuNGvWjMqVKxMZGcnIkSMpWLAgbm5ufPTRR3h6epKQkMCYMWMs5ihSpAh2dnZs2bKF4sWLU6BAAVxcXJg8eTKDBg3CxcWFZs2akZ6ezuHDh7l8+bLFLmARkfjwlnkdgoiIiIjIQ1ENYRERyaJr1678+eef1KxZk7feeovBgwfTp08f476vry9169alQoUKWcoq5IaVlRXr1q0z5ujVqxfTp0+3aGNvb8/WrVu5dOkSNWrU4LXXXqNJkyYsWLAAgOnTp3P+/HkWLVoEgKenJx999BHjx48nJiYGKysrVq9ezZEjR6hUqRJDhw5l1qxZFnNYW1szb948Fi1ahJeXF61btwZuJ7yXLFnCsmXLqFy5Mg0bNiQqKopSpUo99LOKiIiIiIiIPEtMZrPZnNdBiIjIsyMoKIiAgADmzJmTYxuz2Yyvry/9+/fXjtkcpKSk4OLiQnJyMs7OznkdjoiIiIiIiPzN5fb3UJWMEBGRh/L777+zevVqfv31V7p3757X4YiIiIiIiIjIQ1BCWEREHkqRIkUoXLgwH330EQULFszrcERERERERETkIaiGsIiIWNi1a9cDy0X8/vvvdO7c+YnM7+Pjc9/5AUwmE+vXr38i82cnPj4ek8nE8ePHn9qcIiIiIiIiIk+CdgiLiMgz5dChQzg4OOR1GCIiIiIiIiJ/S0oIi4jIM+HGjRvY2Njg7u6e16GIyGPgM2ZjXocg2YgPb5nXIYiIiIhIHlPJCBEReSRBQUEMGDCAAQMG4OLiQuHChZkwYQJms5kpU6ZQqVKlLH0CAgKYMGECAGFhYbRp04bp06fj5eVF+fLlgawlI86ePUuDBg0oUKAA/v7+bNu2Lcu43333HY0bN8bOzg43Nzf69OlDamoqcLsEho2NDXv27DHaz5w5kyJFivDbb78BsGXLFl588UVcXV1xc3OjVatWxMXFPba1EhEREREREXlWKCEsIiKPbPny5VhbW3Pw4EHmzp3L7NmzWbJkCT169CA2NpZDhw4ZbY8dO8aJEyfo3r27cW3Hjh2cPn2abdu28e9//zvL+JmZmbRr1w4bGxsOHDjAhx9+yOjRoy3apKWlERwcTMGCBTl06BBr1qxh+/btDBgwALiduB4yZAhdunQhOTmZY8eOMWHCBJYsWULRokWNMYYNG8bhw4fZsWMHVlZWtG3blszMzCexbCIiIiIiIiJ5RiUjRETkkXl7e/Pee+9hMpkoX7483333He+99x69e/cmODiYZcuWUaNGDQCWLVtGw4YNKV26tNHfwcGBJUuWYGNjk+3427dv54cffmDr1q14eXkB8M4779C8eXOjzapVq7h+/TqffPKJUXt4wYIFhISE8O6771K0aFGmTZvGtm3b6NOnDydPnqRbt2688sorxhivvvqqxbwff/wx7u7unDp1KtudztlJT08nPT3dOE9JSclVPxEREREREZGnSTuERUTkkdWuXRuTyWSc16lTh7Nnz5KRkUHv3r359NNPuX79Ojdu3GDVqlX06NHDon/lypVzTAYDxMbG4u3tbSSD78xxb5uqVatavIiuXr16ZGZmcvr0aQBsbGxYuXIlX375JdevX+e9996zGOPs2bN06tSJ0qVL4+zsjI+PDwAJCQm5XosZM2bg4uJiHN7e3rnuKyIiIiIiIvK0aIewiIg8ESEhIdja2rJu3TpsbGy4efMmr732mkWbu5O4T9q3334LwKVLl7h06ZLF3CEhIZQsWZLFixfj5eVFZmYmlSpV4saNG7kef+zYsQwbNsw4T0lJUVJYREREREREnjnaISwiIo/swIEDFuf79+/H19eXfPnyYW1tTbdu3Vi2bBnLli2jY8eO2NnZPdT4fn5+XLhwgcTERIs57m0TExNDWlqacS06OhorKyvjRXVxcXEMHTqUxYsXU6tWLbp162bUB7548SKnT59m/PjxNGnSBD8/Py5fvvxQcQLY2tri7OxscYiIiIiIiIg8a7RDWEREHllCQgLDhg2jb9++HD16lPnz5xMZGWnc79WrF35+fsDtJO3Datq0KeXKlaNbt27MmjWLlJQUxo0bZ9EmNDSUiRMn0q1bNyZNmsTvv//OwIED6dKlC0WLFiUjI4M33niD4OBgunfvTrNmzahcuTKRkZGMHDmSggUL4ubmxkcffYSnpycJCQmMGTPmry2MiBAf3jKvQxARERERkWxoh7CIiDyyrl278ueff1KzZk3eeustBg8eTJ8+fYz7vr6+1K1blwoVKlCrVq2HHt/Kyop169YZc/Tq1Yvp06dbtLG3t2fr1q1cunSJGjVq8Nprr9GkSRMWLFgAwPTp0zl//jyLFi0CwNPTk48++ojx48cTExODlZUVq1ev5siRI1SqVImhQ4cya9asv7AqIiIiIiIiIs8uk9lsNud1ECIi8vwJCgoiICCAOXPm5NjGbDbj6+tL//79Lerr/hOkpKTg4uJCcnKyykeIiIiIiIjIE5fb30NVMkJERJ6I33//ndWrV/Prr7/SvXv3vA5HRERERERERFBCWEREnpAiRYpQuHBhPvroIwoWLJjX4YiIiIiIiIgISgiLiMgj2rVr133v368ikclkYt26dbRp0+bxBiUiIiIiIiIi96WXyomIyANNmjSJgICAp9bvaYmKisLV1TWvwxARERERERF5arRDWERERETkH8JnzMa8DuFvKT68ZV6HICIiIpJr2iEsIvKcCwoKYsCAAQwYMAAXFxcKFy7MhAkTjJINK1asoHr16jg5OeHh4UHnzp1JSkoy+u/atQuTycSOHTuoXr069vb21K1bl9OnTwO3d9FOnjyZmJgYTCYTJpOJqKgoABISEmjdujWOjo44OzvTvn17fvvttwf2A/jjjz9o27Yt9vb2+Pr6smHDBovnOnnyJM2bN8fR0ZGiRYvSpUsX/vjjD4vnHjRoEKNGjaJQoUJ4eHgwadIkizFmz55N5cqVcXBwwNvbm/79+5Oammo8d/fu3UlOTjbiu9M/PT2dESNGUKxYMRwcHKhVq9YDS2SIiIiIiIiIPA+UEBYR+RtYvnw51tbWHDx4kLlz5zJ79myWLFkCwM2bN5k6dSoxMTGsX7+e+Ph4wsLCsowxbtw4IiMjOXz4MNbW1vTo0QOADh06MHz4cCpWrEhiYiKJiYl06NCBzMxMWrduzaVLl9i9ezfbtm3jxx9/pEOHDvftd8fkyZNp3749J06coEWLFoSGhnLp0iUArly5QuPGjQkMDOTw4cNs2bKF3377jfbt22d5bgcHBw4cOMDMmTOZMmUK27ZtM+5bWVkxb948vv/+e5YvX85//vMfRo0aBUDdunWZM2cOzs7ORnwjRowAYMCAAezbt4/Vq1dz4sQJXn/9dZo1a8bZs2cf0zcmIiIiIiIikjdM5vu99UdERJ55QUFBJCUl8f3332MymQAYM2YMGzZs4NSpU1naHz58mBo1anD16lUcHR3ZtWsXjRo1Yvv27TRp0gSATZs20bJlS/78808KFCjApEmTWL9+PcePHzfG2bZtG82bN+enn37C29sbgFOnTlGxYkUOHjxIjRo1su0Ht18qN378eKZOnQpAWloajo6ObN68mWbNmjFt2jT27NnD1q1bjT4///wz3t7enD59mnLlyhEUFERGRgZ79uwx2tSsWZPGjRsTHh6e7Vp98cUX9OvXz9hpHBUVxZAhQ7hy5YrRJiEhgdKlS5OQkICXl5dxvWnTptSsWZN33nkn27HT09NJT083zlNSUvD29iY5ORlnZ+ds+4iIPG0qGfFkqGSEiIiIPAtSUlJwcXF54O+h2iEsIvI3ULt2bSMZDFCnTh3Onj1LRkYGR44cISQkhBIlSuDk5ETDhg2B24nPu1WpUsX47OnpCWBRWuJesbGxeHt7G8lgAH9/f1xdXYmNjX1gzHfP5+DggLOzszFfTEwMO3fuxNHR0TgqVKgAQFxcXLZj3In77pjvJLmLFSuGk5MTXbp04eLFi1y7di3HuL777jsyMjIoV66cxfy7d++2mPteM2bMwMXFxTjuXhcRERERERGRZ4VeKici8jd2/fp1goODCQ4OZuXKlbi7u5OQkEBwcDA3btywaJs/f37j853kcmZm5hOL7e757sx5Z77U1FRCQkJ49913s/S7k6x+0Bjx8fG0atWKN998k+nTp1OoUCH27t1Lz549uXHjBvb29tnGlZqaSr58+Thy5Aj58uWzuOfo6Jjj84wdO5Zhw4YZ53d2CIuIiIiIiIg8S5QQFhH5Gzhw4IDF+f79+/H19eWHH37g4sWLhIeHG8nJw4cPP/T4NjY2ZGRkWFzz8/PjwoULXLhwwaJkxJUrV/D398+xX25Uq1aNL7/8Eh8fH6ytH+0/VUeOHCEzM5PIyEisrG7/Qcznn39u0Sa7+AIDA8nIyCApKYn69evnej5bW1tsbW0fKVYRERERERGRp0UJYRGRv4GEhASGDRtG3759OXr0KPPnzycyMpISJUpgY2PD/Pnz6devHydPnjTq9j4MHx8ffvrpJ44fP07x4sVxcnKiadOmVK5cmdDQUObMmcOtW7fo378/DRs2pHr16jn2y03S9K233mLx4sV06tSJUaNGUahQIc6dO8fq1atZsmRJlp272Slbtiw3b95k/vz5hISEEB0dzYcffpjluVJTU9mxYwdVq1bF3t6ecuXKERoaSteuXYmMjCQwMJDff/+dHTt2UKVKFVq2VJ1IEXl+qdatiIiIiKiGsIjI30DXrl35888/qVmzJm+99RaDBw+mT58+uLu7ExUVxZo1a/D39yc8PJyIiIiHHv/VV1+lWbNmNGrUCHd3dz799FNMJhNfffUVBQsWpEGDBjRt2pTSpUvz2Wef3bdfbnh5eREdHU1GRgYvv/wylStXZsiQIbi6uhq7fR+katWqzJ49m3fffZdKlSqxcuVKZsyYYdGmbt269OvXjw4dOuDu7s7MmTMBWLZsGV27dmX48OGUL1+eNm3acOjQIUqUKJHLFRMRERERERF5NpnMZrM5r4MQEZFHFxQUREBAAHPmzMnrUOQuuX27q4iIiIiIiMjjkNvfQ7VDWEREREREREREROQfQglhERERERERERERkX8IvVROROQ5t2vXrrwOQURERERERESeE9ohLCLyAEFBQQwZMiTP5j99+jQeHh5cvXr1L40TFRWFq6vr4wnqCbh3nX18fJ6Zusi1a9fmyy+/zOswRERERERERP4y7RAWEXnMdu3aRaNGjbh8+fJjScCOHTuWgQMH4uTklOs+Pj4+DBkyJE8T2X/VoUOHcHBweKxjPuq6jB8/nqFDh9K2bVusrPRvqSLPA58xG/M6hGdSfHjLvA5BRERERPKYfqsVEXmGJSQk8O9//5uwsLC8DuWpc3d3x97ePq/DAKB58+ZcvXqVzZs353UoIiIiIiIiIn+JEsIi8lxLT09n0KBBFClShAIFCvDiiy9y6NAhAK5fv07FihXp06eP0T4uLg4nJyc+/vhjAC5evEinTp0oVqwY9vb2VK5cmU8//fS+c65YsYLq1avj5OSEh4cHnTt3JikpCYD4+HgaNWoEQMGCBTGZTEYyNzMzkxkzZlCqVCns7OyoWrUqX3zxxX3n+vzzz6latSrFihWzuL53717q16+PnZ0d3t7eDBo0iLS0NOB26YXz588zdOhQTCYTJpPJou/WrVvx8/PD0dGRZs2akZiYaNw7dOgQL730EoULF8bFxYWGDRty9OhRi/4mk4klS5bQtm1b7O3t8fX1ZcOGDRZtTp48SfPmzXF0dKRo0aJ06dKFP/74w7iflpZG165dcXR0xNPTk8jIyCzPfm/JiISEBFq3bo2joyPOzs60b9+e3377zbgfFxdH69atKVq0KI6OjtSoUYPt27cb9++3LvdbT4B8+fLRokULVq9enfVL+v+lp6eTkpJicYiIiIiIiIg8a5QQFpHn2qhRo/jyyy9Zvnw5R48epWzZsgQHB3Pp0iUKFCjAypUrWb58OV999RUZGRm88cYbvPTSS/To0QO4nTR+4YUX2LhxIydPnqRPnz506dKFgwcP5jjnzZs3mTp1KjExMaxfv574+Hgj6evt7W3Umj19+jSJiYnMnTsXgBkzZvDJJ5/w4Ycf8v333zN06FDeeOMNdu/eneNce/bsoXr16hbX4uLiaNasGa+++ionTpzgs88+Y+/evQwYMACAtWvXUrx4caZMmUJiYqJFwvfatWtERESwYsUK/vvf/5KQkMCIESOM+1evXqVbt27s3buX/fv34+vrS4sWLbLUL548eTLt27fnxIkTtGjRgtDQUC5dugTAlStXaNy4MYGBgRw+fJgtW7bw22+/0b59e6P/yJEj2b17N1999RXffPMNu3btypJ4vltmZiatW7fm0qVL7N69m23btvHjjz/SoUMHo01qaiotWrRgx44dHDt2jGbNmhESEkJCQsJ91+VB63lHzZo12bNnT44xzpgxAxcXF+Pw9vbOsa2IiIiIiIhIXjGZzWZzXgchIvIo0tLSKFiwIFFRUXTu3Bm4nay9Uyd25MiRAMyaNYuZM2fSsWNHvvzyS7777jvc3NxyHLdVq1ZUqFCBiIgI4PbO0oCAgBxfcHb48GFq1KjB1atXcXR0zLaGcHp6OoUKFWL79u3UqVPH6NurVy+uXbvGqlWrsh07ICCAV199lQkTJlj0yZcvH4sWLTKu7d27l4YNG5KWlkaBAgWyrZUbFRVF9+7dOXfuHGXKlAHggw8+YMqUKfz666/Zzp+ZmYmrqyurVq2iVatWwO0dwuPHj2fq1KnA7e/B0dGRzZs306xZM6ZNm8aePXvYunWrMc7PP/+Mt7c3p0+fxsvLCzc3N/71r3/x+uuvA3Dp0iWKFy9Onz59jHW++xm2bdtG8+bN+emnn4xE66lTp6hYsSIHDx6kRo0a2cZfqVIl+vXrZyR3s1uX3KwnwIYNG2jbti03b97Mto5weno66enpxnlKSgre3t4kJyfj7OycbXwi8uSohnD2VENYRERE5O8rJSUFFxeXB/4eqpfKichzKy4ujps3b1KvXj3jWv78+alZsyaxsbHGteHDh7N+/XoWLFjA5s2bLZLBGRkZvPPOO3z++ef873//48aNG6Snp9+3du2RI0eYNGkSMTExXL58mczMTOB2SQN/f/9s+5w7d45r167x0ksvWVy/ceMGgYGBOc71559/GgnJO2JiYjhx4gQrV640rpnNZjIzM/npp5/w8/PLcTx7e3sjGQzg6elplLsA+O233xg/fjy7du0iKSmJjIwMrl27ZuyyvaNKlSrGZwcHB5ydnY1xYmJi2LlzJ46Ojlnmj4uL488//+TGjRvUqlXLuF6oUCHKly+fY9yxsbF4e3tb7Lr19/fH1dWV2NhYatSoQWpqKpMmTWLjxo0kJiZy69Yt/vzzzyyx3yu362lnZ0dmZibp6enY2dllGcfW1hZbW9v7ziUiIiIiIiKS15QQFpG/vaSkJM6cOUO+fPk4e/YszZo1M+7NmjWLuXPnMmfOHCpXroyDgwNDhgzhxo0b2Y6VlpZGcHAwwcHBrFy5End3dxISEggODs6xD9wuZwCwcePGLPWA75dELFy4MJcvX84yVt++fRk0aFCW9iVKlMhxLLidML+byWTi7j8U6datGxcvXmTu3LmULFkSW1tb6tSpk+XZshvnTmI8NTWVkJAQ3n333Szze3p6cu7cufvG+KhGjBjBtm3biIiIoGzZstjZ2fHaa6/d93u5E29u1vPSpUs4ODhkmwwWEREREREReV4oISwiz60yZcpgY2NDdHQ0JUuWBG6XjDh06JBFSYAePXpQuXJlevbsSe/evWnatKmx6zM6OprWrVvzxhtvALdLJJw5cybHnb4//PADFy9eJDw83NitevjwYYs2NjY2wO3dx3f4+/tja2tLQkICDRs2zPUzBgYGcurUKYtr1apV49SpU5QtWzbHfjY2Nhbz51Z0dDQffPABLVq0AODChQsWL4PLjWrVqvHll1/i4+ODtXXW/8yUKVOG/Pnzc+DAASPhevnyZc6cOZPj2vj5+XHhwgUuXLhgUTLiypUrxncVHR1NWFgYbdu2BW4neuPj4y3GyW5dcrOecPtFeffbzS0izxaVRhARERERyZ5eKicizy0HBwfefPNNRo4cyZYtWzh16hS9e/fm2rVr9OzZE4D333+fffv2sXz5ckJDQ2nTpg2hoaHGrlFfX1+2bdvGt99+S2xsLH379uW3337Lcc4SJUpgY2PD/Pnz+fHHH9mwYYNRS/eOkiVLYjKZ+Pe//83vv/9OamoqTk5OjBgxgqFDh7J8+XLi4uI4evQo8+fPZ/ny5TnOFxwczL59+yySmKNHj+bbb79lwIABHD9+nLNnz/LVV19ZvATNx8eH//73v/zvf/97qISur68vK1asIDY2lgMHDhAaGvrQO2LfeustLl26RKdOnTh06BBxcXFs3bqV7t27k5GRgaOjIz179mTkyJH85z//4eTJk4SFhWVbl/eOpk2bUrlyZUJDQzl69CgHDx6ka9euNGzY0Hjpnq+vL2vXruX48ePExMTQuXNnY9fy/dYlN+sJt1/w9/LLLz/UWoiIiIiIiIg8a5QQFpHnWnh4OK+++ipdunShWrVqnDt3jq1bt1KwYEF++OEHRo4cyQcffGDsKv3ggw/4448/jJe0jR8/nmrVqhEcHExQUBAeHh60adMmx/nc3d2JiopizZo1+Pv7Ex4ebrx87o5ixYoxefJkxowZQ9GiRY3E4tSpU5kwYQIzZszAz8+PZs2asXHjRkqVKpXjfM2bN8fa2prt27cb16pUqcLu3bs5c+YM9evXJzAwkLfffhsvLy+jzZQpU4iPj6dMmTK4u7vnej2XLl3K5cuXqVatGl26dGHQoEEUKVIk1/0BvLy8iI6OJiMjg5dffpnKlSszZMgQXF1djaTvrFmzqF+/PiEhITRt2pQXX3yRF154IccxTSYTX331FQULFqRBgwY0bdqU0qVL89lnnxltZs+eTcGCBalbty4hISEEBwdTrVo1i3GyW5fcrOf//vc/vv32W7p37/5QayEiIiIiIiLyrDGZ7y4eKSIiz5z333+fDRs2sHXr1rwO5R9r9OjRXL58mY8++ijXfXL7dlcRERERERGRxyG3v4eqhrCIyDOub9++XLlyhatXr+Lk5JTX4fwjFSlShGHDhuV1GCIiIiIiIiJ/mUpGiIg846ytrRk3btxjSwabTCbWr1//WMbKyaRJkwgICHiic+RWUFCQxUsGs+Pj48OcOXNyvD98+HCKFi36eAMTERERERERyQPaISwi8g+TmJhIwYIFH9t4JpOJdevWWdReHjFiBAMHDnxsc/wVa9euJX/+/HkdhoiIiIiIiMgzQQlhEZF/GA8Pjyc+h6OjI46Ojk98ntwoVKhQXocgIvLM8Bmz0fgcH94yDyMRERERkbyikhEiIn8zQUFBDBo0iFGjRlGoUCE8PDyYNGmScf/ekhE///wznTp1olChQjg4OFC9enUOHDhg3F+4cCFlypTBxsaG8uXLs2LFCuOej48PAG3btsVkMhnn95aMCAsLo02bNkRERODp6YmbmxtvvfUWN2/eNNqsWLGC6tWr4+TkhIeHB507dyYpKcm4v2vXLkwmE1u3biUwMBA7OzsaN25MUlISmzdvxs/PD2dnZzp37sy1a9cs1uPukhFJSUmEhIRgZ2dHqVKlWLlyZZY1vHLlCr169cLd3R1nZ2caN25MTExMbr8CERERERERkWeWdgiLiPwNLV++nGHDhnHgwAH27dtHWFgY9erV46WXXrJol5qaSsOGDSlWrBgbNmzAw8ODo0ePkpmZCcC6desYPHgwc+bMoWnTpvz73/+me/fuFC9enEaNGnHo0CGKFCnCsmXLaNasGfny5csxpp07d+Lp6cnOnTs5d+4cHTp0ICAggN69ewNw8+ZNpk6dSvny5UlKSmLYsGGEhYWxadMmi3EmTZrEggULsLe3p3379rRv3x5bW1tWrVpFamoqbdu2Zf78+YwePTrbOMLCwvjll1/YuXMn+fPnZ9CgQRaJZ4DXX38dOzs7Nm/ejIuLC4sWLaJJkyacOXMmxx3H6enppKenG+cpKSk5roWIiIiIiIhIXlFCWETkb6hKlSpMnDgRAF9fXxYsWMCOHTuyJIRXrVrF77//zqFDh4xEZ9myZY37ERERhIWF0b9/fwCGDRvG/v37iYiIoFGjRri7uwPg6ur6wFIUBQsWZMGCBeTLl48KFSrQsmVLduzYYSSEe/ToYbQtXbo08+bNo0aNGqSmplqUn5g2bRr16tUDoGfPnowdO5a4uDhKly4NwGuvvcbOnTuzTQifOXOGzZs3c/DgQWrUqAHA0qVL8fPzM9rs3buXgwcPkpSUhK2trbEO69ev54svvqBPnz7ZPt+MGTOYPHnyfddAREREREREJK+pZISIyN9QlSpVLM49PT2z7IIFOH78OIGBgTnueo2NjTWSr3fUq1eP2NjYh46pYsWKFjuI743pyJEjhISEUKJECZycnGjYsCEACQkJFuPc/WxFixbF3t7eSAbfuZbds955Hmtra1544QXjWoUKFXB1dTXOY2JiSE1Nxc3NzaiF7OjoyE8//URcXFyOzzd27FiSk5ON48KFCw9YEREREREREZGnTzuERUT+hvLnz29xbjKZjDIQd7Ozs3taId03prS0NIKDgwkODmblypW4u7uTkJBAcHAwN27cyHEck8mU62fNrdTUVDw9Pdm1a1eWe3cnju9la2tr7CgWEREREREReVZph7CIyD9YlSpVOH78OJcuXcr2vp+fH9HR0RbXoqOj8ff3N87z589PRkbGX4rjhx9+4OLFi4SHh1O/fn0qVKiQ4y7fv6JChQrcunWLI0eOGNdOnz7NlStXjPNq1arx66+/Ym1tTdmyZS2OwoULP/aYRERERERERJ4mJYRFRP7BOnXqhIeHB23atCE6Opoff/yRL7/8kn379gEwcuRIoqKiWLhwIWfPnmX27NmsXbuWESNGGGP4+PiwY8cOfv31Vy5fvvxIcZQoUQIbGxvmz5/Pjz/+yIYNG5g6depjeca7lS9fnmbNmtG3b18OHDjAkSNH6NWrl8VO6aZNm1KnTh3atGnDN998Q3x8PN9++y3jxo3j8OHDjz0mEZGnKT68pXGIiIiIyD+TEsIiIv9gNjY2fPPNNxQpUoQWLVpQuXJlwsPDjVq/bdq0Ye7cuURERFCxYkUWLVrEsmXLCAoKMsaIjIxk27ZteHt7ExgY+EhxuLu7ExUVxZo1a/D39yc8PJyIiIjH8YhZLFu2DC8vLxo2bEi7du3o06cPRYoUMe6bTCY2bdpEgwYN6N69O+XKlaNjx46cP3+eokWLPpGYRERERERERJ4Wk9lsNud1ECIiIn83KSkpuLi4kJycjLOzc16HIyIiIiIiIn9zuf09VDuERURERERERERERP4hlBAWERERERERERER+YdQQljkHyYsLIw2bdrk+RhPW1RUFK6urvdtM2nSJAICAp5KPM+T3Kzds8xkMrF+/foc78fHx2MymTh+/PhTi0lEREREREQkryghLPIQwsLCMJlMhIeHW1xfv349JpMJgOvXrxMWFkblypWxtrbOdeJ00qRJmEwmmjVrluXerFmzMJlMFi/yepC8THLdvHmT0aNHU7lyZRwcHPDy8qJr16788ssvTz2WOzp06MCZM2fybP6HFRQUhMlksjj69euX12E9lxITE2nevHlehyEiIiIiIiLyTLDO6wBEnjcFChTg3XffpW/fvhQsWDDL/YyMDOzs7Bg0aBBffvnlQ43t6enJzp07+fnnnylevLhx/eOPP6ZEiRJ/Ofan5dq1axw9epQJEyZQtWpVLl++zODBg3nllVc4fPjwU4/n5s2b2NnZYWdn99Tn/it69+7NlClTjHN7e/unHsPNmzef+pyPm4eHR16HICLyzPAZszFP5o0Pb5kn84qIiIhIVtohLPKQmjZtioeHBzNmzMj2voODAwsXLqR3794PnYgqUqQIL7/8MsuXLzeuffvtt/zxxx+0bJn1F6klS5bg5+dHgQIFqFChAh988IFxr1SpUgAEBgZmu7s4IiICT09P3NzceOutt4zE35QpU6hUqVKWuQICApgwYUKunsPFxYVt27bRvn17ypcvT+3atVmwYAFHjhwhISEhx367du3CZDKxceNGqlSpQoECBahduzYnT54EIC0tDWdnZ7744guLfuvXr8fBwYGrV68aO6M/++wzGjZsSIECBVi5cmW2ZQ/Cw8MpWrQoTk5O9OzZk+vXr1vcz8zMZMqUKRQvXhxbW1sCAgLYsmWLcf/OXGvXrqVRo0bY29tTtWpV9u3bZzHO3r17qV+/PnZ2dnh7ezNo0CDS0tIeuI729vZ4eHgYx/3eEHpHdHQ0QUFB2NvbU7BgQYKDg7l8+TIAW7Zs4cUXX8TV1RU3NzdatWpFXFxclue5d+3uXmdfX18KFChAcHAwFy5csJh74cKFlClTBhsbG8qXL8+KFSuMez169KBKlSqkp6cDcOPGDQIDA+natavRZvTo0ZQrVw57e3tKly7NhAkTLBLSd0p63PkHEkdHR/r3709GRgYzZ87Ew8ODIkWKMH36dIu47i0ZcfDgQQIDAylQoADVq1fn2LFjWdbx5MmTNG/eHEdHR4oWLUqXLl34448/Hrj+IiIiIiIiIs86JYRFHlK+fPl45513mD9/Pj///PNjH79Hjx5ERUUZ5x9//DGhoaHY2NhYtFu5ciVvv/0206dPJzY2lnfeeYcJEyYYyeSDBw8CsH37dhITE1m7dq3Rd+fOncTFxbFz506WL19OVFSUMWePHj2IjY3l0KFDRvtjx45x4sQJunfv/sjPlZycjMlkylUt2pEjRxIZGcmhQ4dwd3cnJCSEmzdv4uDgQMeOHVm2bJlF+2XLlvHaa6/h5ORkXBszZgyDBw8mNjaW4ODgLHN8/vnnTJo0iXfeeYfDhw/j6elpkVAHmDt3LpGRkURERHDixAmCg4N55ZVXOHv2rEW7cePGMWLECI4fP065cuXo1KkTt27dAiAuLo5mzZrx6quvcuLECT777DP27t3LgAEDHrgOK1eupHDhwlSqVImxY8dy7dq1+7Y/fvw4TZo0wd/fn3379rF3715CQkLIyMgAbifUhw0bxuHDh9mxYwdWVla0bduWzMxMi3GyW7tr164xffp0PvnkE6Kjo7ly5QodO3Y0+qxbt47BgwczfPhwTp48Sd++fenevTs7d+4EYN68eaSlpTFmzBhjza5cucKCBQuMMZycnIiKiuLUqVPMnTuXxYsX895771nEFhcXx+bNm9myZQuffvopS5cupWXLlvz888/s3r2bd999l/Hjx3PgwIFs1yg1NZVWrVrh7+/PkSNHmDRpEiNGjLBoc+XKFRo3bkxgYCCHDx9my5Yt/Pbbb7Rv3/6+65+enk5KSorFISIiIiIiIvKsUckIkUfQtm1bAgICmDhxIkuXLn2sY7dq1Yp+/frx3//+lxdeeIHPP/+cvXv38vHHH1u0mzhxIpGRkbRr1w64vSP41KlTLFq0iG7duuHu7g6Am5tblp3KBQsWZMGCBeTLl48KFSrQsmVLduzYQe/evSlevDjBwcEsW7aMGjVqALcTrg0bNqR06dKP9EzXr19n9OjRdOrUKVe7XCdOnMhLL70EwPLlyylevDjr1q2jffv29OrVi7p165KYmIinpydJSUls2rSJ7du3W4wxZMgQY22yM2fOHHr27EnPnj0BmDZtGtu3b7fYJRwREcHo0aONxOe7777Lzp07mTNnDu+//77RbsSIEcYO7smTJ1OxYkXOnTtHhQoVmDFjBqGhoQwZMgQAX19f5s2bR8OGDVm4cCEFChTINr7OnTtTsmRJvLy8OHHiBKNHj+b06dMWif17zZw5k+rVq1sktitWrGh8fvXVVy3af/zxx7i7u3Pq1CmLXeHZrd3NmzdZsGABtWrVAm5/L35+fhw8eJCaNWsSERFBWFgY/fv3B2DYsGHs37+fiIgIGjVqhKOjI//6179o2LAhTk5OzJkzh507d1r8PIwfP9747OPjw4gRI1i9ejWjRo0yrmdmZvLxxx/j5OSEv78/jRo14vTp02zatAkrKyvKly9vfE93Yr3bqlWryMzMZOnSpRQoUICKFSvy888/8+abbxptFixYQGBgIO+8847FWnl7e3PmzBnKlSuX7frPmDGDyZMnZ3tPRERERERE5FmhHcIij+jdd99l+fLlxMbGPlS/hIQEHB0djePupBNA/vz5eeONN1i2bBlr1qyhXLlyVKlSxaJNWloacXFx9OzZ02KsadOmWZQAyEnFihXJly+fcX4nsXpH7969+fTTT7l+/To3btxg1apV9OjRI9uxVq5caRHDnj17LO7fvHmT9u3bYzabWbhwoXH9zp/jOzo6WiQtAerUqWN8LlSoEOXLlzfWuWbNmlSsWNHYCf2vf/2LkiVL0qBBA4sxqlevft81iI2NzZIwvHvelJQUfvnlF+rVq2fRpl69elm+87u/H09PTwBjPWNiYoiKirJYo+DgYDIzM/npp5945513LO7dKanRp08fgoODqVy5MqGhoXzyySesW7fO+H4rVqxo9LnzwrQ7O4RzcvbsWTp16kTp0qVxdnbGx8cHIEsZj+zWztra2vgHAoAKFSrg6upqrEVsbOwD16pOnTqMGDGCqVOnMnz4cF588UWL9p999hn16tXDw8MDR0dHxo8fnyU2Hx8fi53gRYsWxd/fHysrK4trd/883y02NtYoR3J3XHeLiYlh586dFt9LhQoVAO77v6+xY8eSnJxsHPeW1BARERERERF5FmiHsMgjatCgAcHBwYwdO5awsLBc9/Py8uL48ePGeaFChbK06dGjB7Vq1eLkyZPZJmJTU1MBWLx4cZak5t2J3pzkz5/f4txkMlmUDQgJCcHW1pZ169ZhY2PDzZs3ee2117Id65VXXrGIoVixYsbnO8ng8+fP85///MdiN+iSJUv4888/s43nQXr16sX777/PmDFjWLZsGd27d8dkMlm0cXBweKgx/4q7478Tx531TE1NpW/fvgwaNChLvxIlStCvXz+LUgReXl7ZznFnjc+dO0eZMmXYtGmTUV/3zsvyHvTSvJCQEEqWLMnixYvx8vIiMzOTSpUqcePGDYt2T2rtMjMziY6OJl++fJw7d87i3r59+wgNDWXy5MkEBwfj4uLC6tWriYyMtGiX3c/ug36eH1ZqaiohISG8++67We7dSfhnx9bWFltb20eeV0RERERERORpUEJY5C8IDw8nICCA8uXL57qPtbU1ZcuWvW+bihUrUrFiRU6cOEHnzp2z3C9atCheXl78+OOPhIaGZjvGnZrDd+rHPgxra2u6devGsmXLsLGxoWPHjjkmG52cnCx2bN5xJxl89uxZdu7ciZubm8X9uxPH99q/fz8lSpQA4PLly5w5cwY/Pz/j/htvvMGoUaOYN28ep06dolu3bg/9jH5+fhw4cMDipWb79+83Pjs7O+Pl5UV0dDQNGzY0rkdHR1OzZs1cz1OtWjVOnTqV43deqFChbP9R4F53/hHhTkKyZMmSWdpUqVKFHTt2ZFu24OLFi5w+fZrFixdTv3594PbL7nLr1q1bHD582Hj206dPc+XKFeN78fPzIzo62uK7iI6Oxt/f3zifNWsWP/zwA7t37zbKktypS/3tt99SsmRJxo0bZ7Q/f/58ruPLLT8/P1asWMH169eNXcJ3f+9w+zv78ssv8fHxwdpa/5kUERERERGRvxf9pivyF9z5c/558+ZZXD916hQ3btzg0qVLXL161UjmBQQE5Hrs//znP9y8eTPHl7BNnjyZQYMG4eLiQrNmzUhPT+fw4cNcvnyZYcOGUaRIEezs7NiyZQvFixenQIECuLi45Hr+Xr16Gcm+6OjoXPcDjB3FR48e5d///jcZGRn8+uuvwO0E6L0vyLvXlClTcHNzo2jRoowbN47ChQvTpk0b437BggVp164dI0eO5OWXX6Z48eIPFR/A4MGDCQsLo3r16tSrV4+VK1fy/fffW9RJHjlyJBMnTqRMmTIEBASwbNkyjh8/zsqVK3M9z+jRo6lduzYDBgygV69eODg4cOrUKbZt22bxQrW7xcXFsWrVKlq0aIGbmxsnTpxg6NChNGjQIEv5kLuNHTuWypUr079/f/r164eNjQ07d+7k9ddfp1ChQri5ufHRRx/h6elJQkKC8YK33MifPz8DBw5k3rx5WFtbM2DAAGrXrm0kiEeOHEn79u0JDAykadOmfP3116xdu9ao7Xzs2DHefvttvvjiC+rVq8fs2bMZPHiwUZva19eXhIQEVq9eTY0aNdi4cSPr1q3LdXy51blzZ8aNG0fv3r0ZO3Ys8fHxREREWLR56623WLx4MZ06dWLUqFEUKlSIc+fOsXr1apYsWZKrXfgiIs+q+PCWeR2CiIiIiOQx1RAW+YumTJmS5c/TW7RoQWBgIF9//TW7du0iMDCQwMDAhxrXwcEhx2Qw3E7YLlmyhGXLllG5cmUaNmxIVFQUpUqVAm7v8p03bx6LFi3Cy8uL1q1bP9T8vr6+1K1blwoVKmT7cq77+d///seGDRv4+eefCQgIwNPT0zi+/fbbB/YPDw9n8ODBvPDCC/z66698/fXXWZLIPXv25MaNGznWNn6QDh06MGHCBEaNGsULL7zA+fPnLV4sBjBo0CCGDRvG8OHDqVy5Mlu2bGHDhg34+vrmep4qVaqwe/duzpw5Q/369QkMDOTtt9/OsTQE3N7dvX37dl5++WUqVKjA8OHDefXVV/n666/vO1e5cuX45ptviImJoWbNmtSpU4evvvoKa2trrKysWL16NUeOHKFSpUoMHTqUWbNm5fo57O3tGT16NJ07d6ZevXo4Ojry2WefGffbtGnD3LlziYiIoGLFiixatIhly5YRFBTE9evXeeONNwgLCyMkJAS4XSO5UaNGdOnShYyMDF555RWGDh3KgAEDCAgI4Ntvv2XChAm5ji+3HB0d+frrr/nuu+8IDAxk3LhxWUpD3NkZnpGRwcsvv0zlypUZMmQIrq6uFrWKRURERERERJ5HJrPZbM7rIETk2WM2m/H19aV///4MGzbsqcy5a9cuGjVqxOXLl++bDAdYsWIFQ4cO5ZdffnngjmORvJCSkoKLiwvJyckW9bNFREREREREnoTc/h6qkhEiksXvv//O6tWr+fXXX40ar8+Ka9eukZiYSHh4OH379lUyWERERERERETkIehvX0UkiyJFijBlyhQ++ugjChYsmNfhWJg5cyYVKlTAw8ODsWPH5nU4IiIiIiIiIiLPFZWMEBGRZ1ZQUBABAQHMmTMnr0N5aCoZISIiIiIiIk9Tbn8P1Q5hERERERERERERkX8I1RAWEREREfmH8BmzMa9DEPnbiQ9vmdchiIiIPBTtEBYRkWdaZmYmo0aNolChQnh4eDBp0iTj3pUrV+jVqxfu7u44OzvTuHFjYmJijPuTJk0iICCAjz/+mBIlSuDo6Ej//v3JyMhg5syZeHh4UKRIEaZPn24x54PGFREREREREXleKSEsIiLPtOXLl+Pg4MCBAweYOXMmU6ZMYdu2bQC8/vrrJCUlsXnzZo4cOUK1atVo0qQJly5dMvrHxcWxefNmtmzZwqeffsrSpUtp2bIlP//8M7t37+bdd99l/PjxHDhwwOiTm3HvlZ6eTkpKisUhIiIiIiIi8qxRyQgREXmmValShYkTJwLg6+vLggUL2LFjB3Z2dhw8eJCkpCRsbW0BiIiIYP369XzxxRf06dMHuL3D+OOPP8bJyQl/f38aNWrE6dOn2bRpE1ZWVpQvX553332XnTt3UqtWLfbu3Zurce81Y8YMJk+e/BRWREREREREROTRKSEsIiLPtCpVqlice3p6kpSURExMDKmpqbi5uVnc//PPP4mLizPOfXx8cHJyMs6LFi1Kvnz5sLKysriWlJQEkOtx7zV27FiGDRtmnKekpODt7f0QTyoiIiIiIiLy5CkhLCIiz7T8+fNbnJtMJjIzM0lNTcXT05Ndu3Zl6ePq6nrf/jmNCeR63HvZ2toaO4pFREREREREnlVKCIuIyHOpWrVq/Prrr1hbW+Pj4/PMjysiIiIiIiLyLFBCWEREnktNmzalTp06tGnThpkzZ1KuXDl++eUXNm7cSNu2balevfozNa6IyLMgPrxlXocgIiIiInnM6sFNREREnj0mk4lNmzbRoEEDunfvTrly5ejYsSPnz5+naNGiz9y4IiIiIiIiIs8Ck9lsNud1ECIiIn83KSkpuLi4kJycjLOzc16HIyIiIiIiIn9zuf09VDuERURERERERERERP4hlBAWEZGnIj4+HpPJxPHjx/M6FBEREREREZF/LCWERUTkby0qKgpXV9dH7j9p0iR27dr12OIRERERERERyUvWeR2AiIjIs+bmzZvMmzePQYMGGdeSkpJYt24dffv2zcPIRET+Gp8xG/M6hL+t+PCWeR2CiIiISK5oh7CIiOTK1atXCQ0NxcHBAU9PT9577z2CgoIYMmQIACaTifXr11v0cXV1JSoqKscxd+/eTc2aNbG1tcXT05MxY8Zw69Yt435QUBCDBg1i1KhRFCpUCA8PDyZNmmQxxuzZs6lcuTIODg54e3vTv39/UlNTAdi1axfdu3cnOTkZk8mEyWQy+qenpzNixAiKFSuGg4MDtWrVMnYCm0wmABo3bsz333/PunXrCAkJoXjx4o+8fiIiIiIiIiLPAiWERUQkV4YNG0Z0dDQbNmxg27Zt7Nmzh6NHjz7yeP/73/9o0aIFNWrUICYmhoULF7J06VKmTZtm0W758uU4ODhw4MABZs6cyZQpU9i2bZtx38rKinnz5vH999+zfPly/vOf/zBq1CgA6taty5w5c3B2diYxMZHExERGjBgBwIABA9i3bx+rV6/mxIkTvP766zRr1oyzZ89ibW3N8OHDmTdvHps2beKbb77hm2++oWVL7f4SERERERGR55tKRoiIyANdvXqV5cuXs2rVKpo0aQLAsmXL8PLyeuQxP/jgA7y9vVmwYAEmk4kKFSrwyy+/MHr0aN5++22srG7/m2WVKlWYOHEiAL6+vixYsIAdO3bw0ksvARg7lAF8fHyYNm0a/fr144MPPsDGxgYXFxdMJhMeHh5Gu4SEBJYtW0ZCQoLxDCNGjGDLli0sW7aMqVOnsmDBAr744gtatGiBl5cXzZo1Y+LEiTRr1izb50lPTyc9Pd04T0lJeeS1EREREREREXlStENYREQe6Mcff+TmzZvUrFnTuObi4kL58uUfeczY2Fjq1KljlGcAqFevHqmpqfz888/GtSpVqlj08/T0JCkpyTjfvn07TZo0oVixYjg5OdGlSxcuXrzItWvXcpz7u+++IyMjg3LlyuHo6Ggcu3fvJi4ujszMTG7evMmOHTuoWLEibdu2Zf369cTHx+c45owZM3BxcTEOb2/vR1gVERERERERkSdLO4RFROSxMJlMmM1mi2s3b978y+Pmz58/yzyZmZkAxMfH06pVK958802mT59OoUKF2Lt3Lz179uTGjRvY29tnO2Zqair58uXjyJEj5MuXz+Keo6Mj+fPnN0pL3FG0aFH69euXY5xjx45l2LBhxnlKSoqSwiIiIiIiIvLMUUJYREQeqHTp0uTPn59Dhw5RokQJAJKTkzlz5gwNGjQAwN3dncTERKPP2bNn77tL18/Pjy+//BKz2WzsEo6OjsbJySnXL287cuQImZmZREZGGiUmPv/8c4s2NjY2ZGRkWFwLDAwkIyODpKQk6tevf9857n2JXU5sbW2xtbXNVVsRERERERGRvKKEsIiIPJCTkxPdunVj5MiRFCpUiCJFijBx4kSsrKyMZG7jxo1ZsGABderUISMjg9GjR2fZ3Xu3/v37M2fOHAYOHMiAAQM4ffo0EydOZNiwYUZy90HKli3LzZs3mT9/PiEhIURHR/Phhx9atPHx8SE1NZUdO3ZQtWpV7O3tKVeuHKGhoXTt2pXIyEgCAwP5/fff2bFjB1WqVNHL40Tkbys+XP//JiIiIvJPpxrCIiKSK7Nnz6ZOnTq0atWKpk2bUq9ePfz8/ChQoAAAkZGReHt7U79+fTp37syIESNyLNkAUKxYMTZt2sTBgwepWrUq/fr1o2fPnowfPz7XMVWtWpXZs2fz7rvvUqlSJVauXMmMGTMs2tStW5d+/frRoUMH3N3dmTlzJnD7pXhdu3Zl+PDhlC9fnjZt2ljsgBYRERERERH5OzKZ7y34KCIikgtpaWkUK1aMyMhIevbsmdfhPHNSUlJwcXEhOTkZZ2fnvA5HRERERERE/uZy+3uoSkaIiEiuHDt2jB9++IGaNWuSnJzMlClTAGjdunUeRyYiIiIiIiIiuaWEsIiI5FpERASnT5/GxsaGF154gT179lC4cOG8DktEREREREREckk1hEXkby0oKIghQ4bkydyTJk0iICDgvm1MJhPr169/KvH8VYGBgRw5coTU1FQuXbrEtm3bqFy58lObPywsjDZt2jy1+e4WFRWFq6trnswtIiIiIiIi8jgpISwif1leJl2fR5MnT+aNN954bOM9zkRpXiZdRUREREREROTJU8kIEZGHdOPGDWxsbB65/1dffcWYMWMeY0TyqDIyMjCZTFhZ6d9HReSfwWfMxic2dnx4yyc2toiIiIg8PvoNWOQJu3r1KqGhoTg4OODp6cl7771nsaN2xYoVVK9eHScnJzw8POjcuTNJSUlG/127dmEymdi6dSuBgYHY2dnRuHFjkpKS2Lx5M35+fjg7O9O5c2euXbtm9AsKCmLgwIEMGTKEggULUrRoURYvXkxaWhrdu3fHycmJsmXLsnnzZqNPRkYGPXv2pFSpUtjZ2VG+fHnmzp173+cLCwtj9+7dzJ07F5PJhMlkIj4+HoDdu3dTs2ZNbG1t8fT0ZMyYMdy6dcvom5mZycyZMylbtiy2traUKFGC6dOnG/e/++47GjdujJ2dHW5ubvTp04fU1FSLudu0acPkyZNxd3fH2dmZfv36cePGDYsYMzMzGTVqFIUKFcLDw4NJkyZZ3L9y5Qq9evUyxmjcuDExMTHG/TulH5YsWUKpUqUoUKAAAAkJCbRu3RpHR0ecnZ1p3749v/32233X68KFC3z//fc0a9bMuJaYmEjz5s2xs7OjdOnSfPHFF1n6tG/fHldXVwoVKkTr1q2NNZ40aRLLly/nq6++MtZ/165dAIwePZpy5cphb29P6dKlmTBhAjdv3swxtvuN9aDvAuDjjz+mYsWKxvc9YMAA496D1urOGi9atAhvb2/s7e1p3749ycnJWeKMiIjA09MTNzc33nrrLYtnSk9PZ8SIERQrVgwHBwdq1aplPAP8v9IPGzZswN/fH1tbWxISErh8+TJdu3alYMGC2Nvb07x5c86ePZvjWomIiIiIiIg8r5QQFnnChg0bRnR0NBs2bGDbtm3s2bOHo0ePGvdv3rzJ1KlTiYmJYf369cTHxxMWFpZlnEmTJrFgwQK+/fZbI0E4Z84cVq1axcaNG/nmm2+YP3++RZ/ly5dTuHBhDh48yMCBA3nzzTd5/fXXqVu3LkePHuXll1+mS5cuRiI5MzOT4sWLs2bNGk6dOsXbb7/N//3f//H555/n+Hxz586lTp069O7dm8TERBITE/H29uZ///sfLVq0oEaNGsTExLBw4UKWLl3KtGnTjL5jx44lPDycCRMmcOrUKVatWkXRokUBSEtLIzg4mIIFC3Lo0CHWrFnD9u3bLZKMADt27CA2NpZdu3bx6aefsnbtWiZPnpxlHRwcHDhw4AAzZ85kypQpbNu2zbj/+uuvGwn2I0eOUK1aNZo0acKlS5eMNufOnePLL79k7dq1HD9+nMzMTFq3bs2lS5fYvXs327Zt48cff6RDhw45rhXAhg0bCAoKwtnZ2bg2YcIEXn31VWJiYggNDaVjx47ExsYCt38+goODcXJyYs+ePURHR+Po6EizZs24ceMGI0aMoH379jRr1sxY/7p16wLg5OREVFQUp06dYu7cuSxevJj33nsvx9hyGis338XChQt566236NOnD9999x0bNmygbNmyALleq3PnzvH555/z9ddfs2XLFo4dO0b//v0t2uzcuZO4uDh27tzJ8uXLiYqKIioqyrg/YMAA9u3bx+rVqzlx4gSvv/46zZo1s0juXrt2jXfffZclS5bw/fffU6RIEcLCwjh8+DAbNmxg3759mM1mWrRocd8EuoiIiIiIiMhzySwiT0xKSoo5f/785jVr1hjXrly5Yra3tzcPHjw42z6HDh0yA+arV6+azWazeefOnWbAvH37dqPNjBkzzIA5Li7OuNa3b19zcHCwcd6wYUPziy++aJzfunXL7ODgYO7SpYtxLTEx0QyY9+3bl+MzvPXWW+ZXX331vs/ZsGHDLM/zf//3f+by5cubMzMzjWvvv/++2dHR0ZyRkWFOSUkx29ramhcvXpztmB999JG5YMGC5tTUVOPaxo0bzVZWVuZff/3VbDabzd26dTMXKlTInJaWZrRZuHChMUd262A2m801atQwjx492mw2m8179uwxOzs7m69fv27RpkyZMuZFixaZzWazeeLEieb8+fObk5KSjPvffPONOV++fOaEhATj2vfff28GzAcPHjT6Va1a1WLcl156ybxgwQLjHDD369fPok2tWrXMb775ptlsNptXrFiRZR3T09PNdnZ25q1btxrr0Lp162zX8W6zZs0yv/DCC/dtk91YufkuvLy8zOPGjct2zNyuVb58+cw///yz0Wbz5s1mKysrc2JiohFbyZIlzbdu3TLavP766+YOHTqYzWaz+fz58+Z8+fKZ//e//1nM36RJE/PYsWPNZrPZvGzZMjNgPn78uHH/zJkzZsAcHR1tXPvjjz/MdnZ25s8//9zo5+Licp+VM5uvX79uTk5ONo4LFy6YAXNycvJ9+4mIPE0lR//7iR0iIiIikreSk5Nz9XuodgiLPEE//vgjN2/epGbNmsY1FxcXypcvb5wfOXKEkJAQSpQogZOTEw0bNgRu/4n93apUqWJ8Llq0qFEG4O5rd5eauLdPvnz5cHNzo3LlyhZ9AIt+77//Pi+88ALu7u44Ojry0UcfGbHs2bMHR0dH41i5cmWOzx4bG0udOnUwmUzGtXr16pGamsrPP/9MbGws6enpNGnSJMf+VatWxcHBwaJ/ZmYmp0+fNq5VrVoVe3t747xOnTqkpqZy4cKFbNcBwNPT03jmmJgYUlNTcXNzs3i2n376ibi4OKNPyZIlcXd3t4jP29sbb29v45q/vz+urq7G7t57paSksHv3bl555RWL63Xq1MlyfmeMmJgYzp07h5OTkxFboUKFuH79ukV82fnss8+oV68eHh4eODo6Mn78eOO7TEhIsHjed955J8dxHvRdJCUl8csvv9z3u8zNWpUoUYJixYpZrMO933fFihXJly+fcX73d/ndd9+RkZFBuXLlLJ5t9+7dFmtlY2Nj8TMRGxuLtbU1tWrVMq65ublRvnz5HL/L7MyYMQMXFxfjuPt5RURERERERJ4VeqmcSB6686f4wcHBrFy5End3dxISEggODs5SBzd//vzGZ5PJZHF+51pmZmaOfbLrdydZe6ff6tWrGTFiBJGRkdSpUwcnJydmzZrFgQMHAKhevTrHjx83+t9JKD8KOzu7R+77sO63VqmpqXh6elrUmb3D1dXV+Hx3MvRRbd68GX9//4dKFKampvLCCy9km3y/O0F9r3379hEaGsrkyZMJDg7GxcWF1atXExkZCYCXl5fFd1moUKHcP8g9nqXvMl++fBw5csQiaQzg6OhofLazs7P4h4rHZezYsQwbNsw4T0lJUVJYREREREREnjlKCIs8QaVLlyZ//vwcOnSIEiVKAJCcnMyZM2do0KABP/zwAxcvXiQ8PNxIHB0+fDjP4o2OjqZu3boWdVvv3llpZ2dn1IW9m42NDRkZGRbX/Pz8+PLLLzGbzUbyLTo6GicnJ4oXL06RIkWws7Njx44d9OrVK8uYfn5+REVFkZaWZiRjo6OjsbKysthhHRMTw59//mkkJffv34+jo2OuE3HVqlXj119/xdraGh8fn1z1uRPfhQsXuHDhgjHXqVOnuHLlCv7+/tn2+eqrr2jdunWW6/v376dr164W54GBgUZ8n332GUWKFLGoO3y37Nb/22+/pWTJkowbN864dv78eeOztbX1Q32X9/sunJyc8PHxYceOHTRq1CjLmLldq4SEBH755Re8vLyMdbj3+76fwMBAMjIySEpKon79+rnqcye+W7duceDAAaP+8sWLFzl9+nSO32V2bG1tsbW1zXV7ERERERERkbyghLDIE+Tk5ES3bt0YOXIkhQoVokiRIkycOBErKytMJhMlSpTAxsaG+fPn069fP06ePMnUqVPzLF5fX18++eQTtm7dSqlSpVixYgWHDh2iVKlS9+3n4+PDgQMHiI+PN0oa9O/fnzlz5jBw4EAGDBjA6dOnmThxIsOGDcPKyooCBQowevRoRo0ahY2NDfXq1eP333/n+++/p2fPnoSGhjJx4kS6devGpEmT+P333xk4cCBdunSx2Jl848YNevbsyfjx44mPj2fixIkMGDAAK6vcVcRp2rQpderUoU2bNsycOZNy5crxyy+/sHHjRtq2bUv16tVz7Fe5cmVCQ0OZM2cOt27don///jRs2DDbPrdu3WLz5s2MGDEiy701a9ZQvXp1XnzxRVauXMnBgwdZunQpAKGhocyaNYvWrVszZcoUihcvzvnz51m7di2jRo2iePHi+Pj4sHXrVk6fPo2bmxsuLi74+vqSkJDA6tWrqVGjBhs3bmTdunUPXI/sxsrNdzFp0iT69etHkSJFaN68OVevXiU6OpqBAwfmeq0KFChAt27diIiIICUlhUGDBtG+fXs8PDxy9V2WK1eO0NBQunbtSmRkJIGBgfz+++/s2LGDKlWq0LJly2z7+fr60rp1a3r37s2iRYtwcnJizJgxFCtWLNsEvojI8yw+PPv/LxQRERGRfw7VEBZ5wmbPnk2dOnVo1aoVTZs2pV69evj5+VGgQAHc3d2JiopizZo1+Pv7Ex4eTkRERJ7F2rdvX9q1a0eHDh2oVasWFy9etNgtnJMRI0aQL18+/P39jbIXxYoVY9OmTRw8eJCqVavSr18/I3F7x4QJExg+fDhvv/02fn5+dOjQwagHa29vz9atW7l06RI1atTgtddeo0mTJixYsMBi7iZNmuDr60uDBg3o0KEDr7zyCpMmTcr1M5tMJjZt2kSDBg3o3r075cqVo2PHjpw/f/6+JTFMJhNfffUVBQsWpEGDBjRt2pTSpUvz2WefZdt+9+7dODo6Uq1atSz3Jk+ezOrVq6lSpQqffPIJn376qbEz1d7env/+97+UKFGCdu3a4efnR8+ePbl+/bqxY7h3796UL1+e6tWr4+7uTnR0NK+88gpDhw5lwIABBAQE8O233zJhwoQHrkd2Y+Xmu+jWrRtz5szhgw8+oGLFirRq1YqzZ88+1FqVLVuWdu3a0aJFC15++WWqVKnCBx988MCY77Zs2TK6du3K8OHDKV++PG3atLHYoX+/fi+88AKtWrWiTp06mM1mNm3alKVEhYiIiIiIiMjzzmQ2m815HYTIP0laWhrFihUjMjKSnj175nU4z7WwsDCuXLnC+vXr8zqUBxo0aBC3bt166ATnP8WkSZNYv369RV3j511KSgouLi4kJyfnWO5DRERERERE5HHJ7e+hKhkh8oQdO3aMH374gZo1a5KcnMyUKVMA9Kfo/zCVKlWiTp06eR2GiIiIiIiIiPzDKSEs8hRERERw+vRpbGxseOGFF9izZw+FCxfO67DkKerTp09ehyAiIiIiIiIiopIRIiIiT4JKRoiIiIiIiMjTlNvfQ/VSOREReab9+uuvDBw4kNKlS2Nra4u3tzchISHs2LHDaOPj44PJZMpyhIeHAxAfH4/JZMq2RnFQUBBDhgyxuHbu3Dm6d+9O8eLFsbW1pVSpUnTq1InDhw8/yUcVEREREREReeJUMkJERJ5Z8fHx1KtXD1dXV2bNmkXlypW5efMmW7du5a233uKHH34w2k6ZMoXevXtb9HdycnroOQ8fPkyTJk2oVKkSixYtokKFCly9epWvvvqK4cOHs3v37r/8XCLZ8RmzMa9DkH+A+PCWeR2CiIiIiOQx7RAWEXlOXb16ldDQUBwcHPD09OS9996z2O26YsUKqlevjpOTEx4eHnTu3JmkpCSj/65duzCZTGzdupXAwEDs7Oxo3LgxSUlJbN68GT8/P5ydnencuTPXrl0z+gUFBTFw4ECGDBlCwYIFKVq0KIsXLyYtLY3u3bvj5ORE2bJl2bx5s9EnIyODnj17UqpUKezs7Chfvjxz58594DP2798fk8nEwYMHefXVVylXrhwVK1Zk2LBh7N+/36Ltnee8+3BwcHioNTWbzYSFheHr68uePXto2bIlZcqUISAggIkTJ/LVV1891HgiIiIiIiIizxolhEVEnlPDhg0jOjqaDRs2sG3bNvbs2cPRo0eN+zdv3mTq1KnExMSwfv164uPjCQsLyzLOpEmTWLBgAd9++y0XLlygffv2zJkzh1WrVrFx40a++eYb5s+fb9Fn+fLlFC5cmIMHDzJw4EDefPNNXn/9derWrcvRo0d5+eWX6dKli5FIzszMpHjx4qxZs4ZTp07x9ttv83//9398/vnnOT7fpUuX2LJlC2+99Va2iV1XV9dHW7j7OH78ON9//z3Dhw/HyirrfyKfxJwiIiIiIiIiT5NKRoiIPIeuXr3K8uXLWbVqFU2aNAFg2bJleHl5GW169OhhfC5dujTz5s2jRo0apKam4ujoaNybNm0a9erVA6Bnz56MHTuWuLg4SpcuDcBrr73Gzp07GT16tNGnatWqjB8/HoCxY8cSHh5O4cKFjZINb7/9NgsXLuTEiRPUrl2b/PnzM3nyZKN/qVKl2LdvH59//jnt27fP9hnPnTuH2WymQoUKuVqT0aNHGzHdsXnzZurXr2+c161bN0ui988//yQgIACAs2fPAuR6zrulp6eTnp5unKekpDz0GCIiIiIiIiJPmhLCIiLPoR9//JGbN29Ss2ZN45qLiwvly5c3zo8cOcKkSZOIiYnh8uXLZGZmApCQkIC/v7/RrkqVKsbnokWLYm9vbySD71w7ePCgxfx398mXLx9ubm5UrlzZog9gUaLi/fff5+OPPyYhIYE///yTGzduGInYPXv20Lx5c6PtokWLKFu27EOtyciRI7PsgC5WrJjF+WeffYafn5/FtdDQUOOz2Wx+qDnvNmPGDIukt4iIiIiIiMizSAlhEZG/obS0NIKDgwkODmblypW4u7uTkJBAcHAwN27csGibP39+47PJZLI4v3PtTjI5uz7Z9TOZTABGv9WrVzNixAgiIyOpU6cOTk5OzJo1iwMHDgBQvXp1jh8/bvQvWrQoN2/exGQyWbw47n4KFy78wCSyt7d3ljZ2dnbG53LlygHwww8/EBgYmKt57xg7dizDhg0zzlNSUvD29n6oMURERERERESeNNUQFhF5DpUuXZr8+fNz6NAh41pycjJnzpwBbic0L168SHh4OPXr16dChQoWu3WftujoaOrWrUv//v0JDAykbNmyxMXFGfft7OwoW7ascTg5OVGoUCGCg4N5//33SUtLyzLmlStXHnucAQEB+Pv7ExkZmSUJ/qA5bW1tcXZ2tjhEREREREREnjXaISwi8hxycnKiW7dujBw5kkKFClGkSBEmTpyIlZUVJpOJEiVKYGNjw/z58+nXrx8nT55k6tSpeRavr68vn3zyCVu3bqVUqVKsWLGCQ4cOUapUqfv2e//996lXrx41a9ZkypQpVKlShVu3brFt2zYWLlxIbGys0fbq1av8+uuvFv3t7e0fKjFrMplYtmwZTZs2pX79+owbN44KFSqQmprK119/zTfffMPu3bsf7uFFcik+vGVehyAiIiIiIv8A2iEsIvKcmj17NnXq1KFVq1Y0bdqUevXq4efnR4ECBXB3dycqKoo1a9bg7+9PeHg4EREReRZr3759adeuHR06dKBWrVpcvHiR/v37P7Bf6dKlOXr0KI0aNWL48OFUqlSJl156iR07drBw4UKLtm+//Taenp4Wx6hRox461po1a3L48GHKli1L79698fPz45VXXuH7779nzpw5Dz2eiIiIiIiIyLPEZP4rb9AREZFnRlpaGsWKFSMyMpKePXvmdTj/eCkpKbi4uJCcnKzyESIiIiIiIvLE5fb3UJWMEBF5Th07dowffviBmjVrkpyczJQpUwBo3bp1HkcmIiIiIiIiIs8qJYRFRJ5jERERnD59GhsbG1544QX27NlD4cKF8zosEREREREREXlGKSEsIvKcCgwM5MiRI3kdhoiIiIiIiIg8R/RSOZFnnNlspk+fPhQqVAiTycTx48cJCgpiyJAhj3Uek8nE+vXrH+uYuREVFYWrq+tjHXPXrl2YTCauXLnyWMfNjXu/Gx8fn6f+IrKnNeekSZMICAi4b5uwsDDatGnzl+c6ffo0Hh4eXL169S+P9bC2bNlCQEAAmZmZT31uERERERERkcdNO4RFnnFbtmwhKiqKXbt2Ubp06SdWDiAxMZGCBQs+kbGftrp165KYmIiLi0teh8KhQ4dwcHDI6zD+MpPJxLp16yySuyNGjGDgwIFPZf6xY8cycOBAnJycgNtJ/0aNGmVpN27cOKZNmwbAzz//TOnSpSlXrhwnT57M0tZkMhmf7e3t8fLyol69egwcOJAXXnjBuNesWTMmTJjAypUr6dKly+N+NBGRp8pnzMa8DiHPxIe3zOsQRERERJ4J2iEs8oyLi4vD09OTunXr4uHhgbX1k/l3HA8PD2xtbZ/I2E+bjY0NHh4eFgm/vOLu7o69vX1eh/FEODo64ubm9sTnSUhI4N///jdhYWFZ7p0+fZrExETjGDNmjHEvKiqK9u3bk5KSwoEDB7Ide9myZSQmJvL999/z/vvvk5qaSq1atfjkk08s2oWFhTFv3rzH+lwiIiIiIiIieUEJYZFnWFhYGAMHDiQhIQGTyYSPj0+27VasWEH16tVxcnLCw8ODzp07k5SUBEBmZibFixdn4cKFFn2OHTuGlZUV58+fByxLRsTHx2MymVi7di2NGjXC3t6eqlWrsm/fvvvGO3v2bCpXroyDgwPe3t7079+f1NRUizZRUVGUKFECe3t72rZty8WLF7OM89VXX1GtWjUKFChA6dKlmTx5Mrdu3TLum0wmlixZQtu2bbG3t8fX15cNGzYY9+8tGXGnLMXWrVvx8/PD0dGRZs2akZiYaDHvkiVL8PPzo0CBAlSoUIEPPvjgvs+blpZG165dcXR0xNPTk8jIyCxt7i3f8KDYsyuhsX79+izJ7a+//poaNWpQoEABChcuTNu2bXOM88qVK/Tq1Qt3d3ecnZ1p3LgxMTExFm0WLlxImTJlsLGxoXz58qxYscLiGQDatm1r8XN4b8mIjIwMhg0bhqurK25ubowaNQqz2WwxT2ZmJjNmzKBUqVLY2dlRtWpVvvjiixxjB/j888+pWrUqxYoVy3KvSJEieHh4GIejoyNwu9TKsmXL6NKlC507d2bp0qXZju3q6oqHhwc+Pj68/PLLfPHFF4SGhjJgwAAuX75stAsJCeHw4cPExcXdN1YRERERERGRZ50SwiLPsLlz5zJlyhSKFy9OYmIihw4dyrbdzZs3mTp1KjExMaxfv574+HhjN6WVlRWdOnVi1apVFn1WrlxJvXr1KFmyZI7zjxs3jhEjRnD8+HHKlStHp06dLBKz97KysmLevHl8//33LF++nP/85z+MGjXKuH/gwAF69uzJgAEDOH78OI0aNTL+vP+OPXv20LVrVwYPHsypU6dYtGgRUVFRTJ8+3aLd5MmTad++PSdOnKBFixaEhoZy6dKlHGO7du0aERERrFixgv/+978kJCQwYsQIi/V4++23mT59OrGxsbzzzjtMmDCB5cuX5zjmyJEj2b17N1999RXffPMNu3bt4ujRozm2f9TY77Vx40batm1LixYtOHbsGDt27KBmzZo5tn/99ddJSkpi8+bNHDlyhGrVqtGkSRNjznXr1jF48GCGDx/OyZMn6du3L927d2fnzp0Axs/dnd20Of0cRkZGEhUVxccff8zevXu5dOkS69ats2gzY8YMPvnkEz788EO+//57hg4dyhtvvMHu3btzjH/Pnj1Ur1491+sDsHPnTq5du0bTpk154403WL16NWlpabnqO3ToUK5evcq2bduMayVKlKBo0aLs2bMnx37p6emkpKRYHCIiIiIiIiLPGiWERZ5hLi4uODk5kS9fPjw8PHB3d8+2XY8ePWjevDmlS5emdu3azJs3j82bNxu7c0NDQ4mOjiYhIQG4vUtz9erVhIaG3nf+ESNG0LJlS8qVK8fkyZM5f/48586dy7H9kCFDaNSoET4+PjRu3Jhp06bx+eefG/fnzp1Ls2bNGDVqFOXKlWPQoEEEBwdbjDF58mTGjBlDt27dKF26NC+99BJTp05l0aJFFu3CwsLo1KkTZcuW5Z133iE1NZWDBw/mGNvNmzf58MMPqV69OtWqVWPAgAHs2LHDuD9x4kQiIyNp164dpUqVol27dgwdOjTLvHekpqaydOlSIiIiaNKkCZUrV2b58uX3TZg/auz3mj59Oh07dmTy5Mn4+flRtWpVxo4dm23bvXv3cvDgQdasWUP16tXx9fUlIiICV1dXY2duREQEYWFh9O/fn3LlyjFs2DDatWtHREQEgPFzd2c3bU4/h3PmzGHs2LG0a9cOPz8/PvzwQ4s6zunp6bzzzjt8/PHHBAcHU7p0acLCwnjjjTdyXGeA8+fP4+Xlle294sWL4+joaBx3dpwvXbqUjh07ki9fPipVqkTp0qVZs2bNA1b2tgoVKgC3d8rfzcvLy9hRn50ZM2bg4uJiHN7e3rmaT0RERERERORpUkJY5G/gyJEjhISEUKJECZycnGjYsCGAkQAOCAjAz8/P2CW8e/dukpKSeP311+87bpUqVYzPnp6eAEYpiuxs376dJk2aUKxYMZycnOjSpQsXL17k2rVrAMTGxlKrVi2LPnXq1LE4j4mJYcqUKRZJvt69e5OYmGiMc29sDg4OODs73zc2e3t7ypQpY/E8d9qnpaURFxdHz549LeadNm1ajiUC4uLiuHHjhsXzFCpUiPLly+cYw6PGfq/jx4/TpEmTXLWNiYkhNTUVNzc3i2f76aefjGeLjY2lXr16Fv3q1atHbGxsrmNKTk4mMTHRYj2sra0tdvaeO3eOa9eu8dJLL1nE8sknn9y3FMOff/5JgQIFsr23Z88ejh8/bhwFCxbkypUrrF27ljfeeMNo98Ybb+RYNuJed8pc3Fumw87OzuJn8F5jx44lOTnZOC5cuJCr+URERERERESepifzdioReWrS0tIIDg4mODiYlStX4u7uTkJCAsHBwdy4ccNoFxoayqpVqxgzZgyrVq2iWbNmD3whWP78+Y3Pd5JjmZmZ2baNj4+nVatWvPnmm0yfPp1ChQqxd+9eevbsyY0bN3L9YrXU1FQmT55Mu3btsty7Oyl4d2x34ssptpza30n83dlJvXjx4iwJ63z58uUq7odxv9itrKyy1N29efOmxbmdnV2u50pNTcXT05Ndu3ZluXdvreIn7c46b9y4MUs94Pu90LBw4cIW9XzvVqpUqSzPsWrVKq5fv27xXZrNZjIzMzlz5gzlypW7b5x3EuGlSpWyuH7p0qUcd0ffeYa/y4sZRURERERE5O9LCWGR59wPP/zAxYsXCQ8PN/5E/fDhw1nade7cmfHjx3PkyBG++OILPvzww8cax5EjR8jMzCQyMhIrq9t/fHB3uQgAPz8/Dhw4YHFt//79FufVqlXj9OnTlC1b9rHGdz9FixbFy8uLH3/88YFlNO4oU6YM+fPn58CBA5QoUQKAy5cvc+bMGWOH9qNwd3fn6tWrpKWl4eDgANzeEXy3KlWqsGPHDrp37/7A8apVq8avv/6KtbV1ji8l9PPzIzo6mm7duhnXoqOj8ff3N87z589PRkZGjvO4uLjg6enJgQMHaNCgAQC3bt0yahYD+Pv7Y2trS0JCwkOtUWBgIKdOncp1+6VLlzJ8+HCjjvYd/fv35+OPPyY8PPy+/efMmYOzszNNmzY1rl2/fp24uDgCAwNzHYeIyLMoPrxlXocgIiIiInlMCWGR51yJEiWwsbFh/vz59OvXj5MnTzJ16tQs7Xx8fKhbty49e/YkIyODV1555bHGUbZsWW7evMn8+fMJCQkhOjo6S9J50KBB1KtXj4iICFq3bs3WrVvZsmWLRZu3336bVq1aUaJECV577TWsrKyIiYnh5MmTWV5A9zhNnjyZQYMG4eLiQrNmzUhPT+fw4cNcvnyZYcOGZWnv6OhIz549GTlyJG5ubhQpUoRx48YZyfBHVatWLezt7fm///s/Bg0axIEDB4iKirJoM3HiRJo0aUKZMmXo2LEjt27dYtOmTYwePTrLeE2bNqVOnTq0adOGmTNnUq5cOX755RfjxXTVq1dn5MiRtG/fnsDAQJo2bcrXX3/N2rVr2b59uzGOj48PO3bsoF69etja2lKwYMEscw0ePJjw8HB8fX2pUKECs2fP5sqVK8Z9JycnRowYwdChQ8nMzOTFF18kOTmZ6OhonJ2dLRLSdwsODqZXr15kZGQ8cMf28ePHOXr0KCtXrjRqAd/RqVMnpkyZwrRp07C2vv2fvytXrvDrr7+Snp7OmTNnWLRoEevXr+eTTz6x2Hm8f/9+bG1ts5Q4EREREREREXneqIawyHPO3d2dqKgo1qxZg7+/P+Hh4cbLwO4VGhpKTEwMbdu2faiyA7lRtWpVZs+ezbvvvkulSpVYuXIlM2bMsGhTu3ZtFi9ezNy5c6latSrffPMN48ePt2gTHBzMv//9b7755htq1KhB7dq1ee+99yhZsuRjjfdevXr1YsmSJSxbtozKlSvTsGFDoqKispQNuNusWbOoX78+ISEhNG3alBdffJEXXnjhL8VRqFAh/vWvf7Fp0yYqV67Mp59+yqRJkyzaBAUFsWbNGjZs2EBAQACNGzfO8aV0JpOJTZs20aBBA7p37065cuXo2LEj58+fp2jRogC0adOGuXPnEhERQcWKFVm0aBHLli0jKCjIGCcyMpJt27bh7e2d4y7Z4cOH06VLF7p160adOnVwcnKibdu2Fm2mTp3KhAkTmDFjBn5+fjRr1oyNGzfed52bN2+OtbW1RYI6J0uXLsXf3z9LMhigbdu2JCUlsWnTJuNa9+7d8fT0pEKFCrz55ps4Ojpy8OBBOnfubNH3008/JTQ0NNelT0RERERERESeVSbzvcUqRUREnjHvv/8+GzZsYOvWrU997j/++IPy5ctz+PDh+yau75WSkoKLiwvJyck4Ozs/wQhFREREREREcv97qEpGiIjIM69v375cuXKFq1ev4uTk9FTnjo+P54MPPnioZLCIiIiIiIjIs0olI0RE5JEEBQUxZMiQHO/7+PgwZ84c49xkMrF+/XrgdpLVZDJleWFeTqytrRk3btxjSwY/TCzVq1enQ4cOj2VeERERERERkbymHcIiIvJEHDp0CAcHh2zveXt7k5iYSOHChZ9yVM92LCIiIiIiIiJPmhLCIiLyRLi7u+d4L1++fHh4eDzR+W/cuIGNjc0D2z2NWEREnhU+YzbmdQjyjIoPb5nXIYiIiMhTopIRIiLyyG7dusWAAQNwcXGhcOHCTJgwgTvvKr23ZMTd7i7TkJmZSfHixVm4cKFFm2PHjmFlZcX58+cBuHLlCr169cLd3R1nZ2caN25MTEyM0X7SpEkEBASwZMkSSpUqRYECBQA4e/YsDRo0oECBAvj7+7Nt27YcYwHYtWsXJpOJHTt2UL16dezt7albty6nT59+HEsmIiIiIiIikqeUEBYRkUe2fPlyrK2tOXjwIHPnzmX27NksWbLkocawsrKiU6dOrFq1yuL6ypUrqVevHiVLlgTg9ddfJykpic2bN3PkyBGqVatGkyZNuHTpktHn3LlzfPnll6xdu9ZINrdr1w4bGxsOHDjAhx9+yOjRo3MV17hx44iMjOTw4cNYW1vTo0eP+7ZPT08nJSXF4hARERERERF51ighLCIij8zb25v33nuP8uXLExoaysCBA3nvvfceepzQ0FCio6NJSEgAIDMzk9WrVxMaGgrA3r17OXjwIGvWrKF69er4+voSERGBq6srX3zxhTHOjRs3+OSTTwgMDKRKlSps376dH374gU8++YSqVavSoEED3nnnnVzFNH36dBo2bIi/vz9jxozh22+/5fr16zm2nzFjBi4uLsbh7e390OsgIiIiIiIi8qQpISwiIo+sdu3amEwm47xOnTqcPXuWjIyMhxonICAAPz8/Y5fw7t27SUpK4vXXXwcgJiaG1NRU3NzccHR0NI6ffvqJuLg4Y5ySJUta1C6OjY3F29sbLy8vixhzo0qVKsZnT09PAJKSknJsP3bsWJKTk43jwoULuZpHRERERERE5GnSS+VEROSZEBoayqpVqxgzZgyrVq2iWbNmuLm5AZCamoqnpye7du3K0s/V1dX47ODg8NjiyZ8/v/H5TtI7MzMzx/a2trbY2to+tvlFREREREREngQlhEVE5JEdOHDA4nz//v34+vqSL1++hx6rc+fOjB8/niNHjvDFF1/w4YcfGveqVavGr7/+irW1NT4+Prke08/PjwsXLpCYmGjs8t2/f/9DxyYiIiIiIiLyd6GEsIiIPLKEhASGDRtG3759OXr0KPPnzycyMvKRxvLx8aFu3br07NmTjIwMXnnlFeNe06ZNqVOnDm3atGHmzJmUK1eOX375hY0bN9K2bVuqV6+e7ZhNmzalXLlydOvWjVmzZpGSksK4ceMeKT4Rkb+D+PCWeR2CiIiIiOQx1RAWEZFH1rVrV/78809q1qzJW2+9xeDBg+nTp88jjxcaGkpMTAxt27bFzs7OuG4ymdi0aRMNGjSge/fulCtXjo4dO3L+/HmKFi2a43hWVlasW7fOiLFXr15Mnz79keMTERERERERed6ZzGazOa+DEBER+btJSUnBxcWF5ORknJ2d8zocERERERER+ZvL7e+h2iEsIiIiIiIiIiIi8g+hhLCIiIiIiIiIiIjIP4QSwiIieSw+Ph6TycTx48dz3ScqKgpXV9cnFtOz6FHW6XHy8fFhzpw5eTK3iIiIiIiIyOOihLCIiBjyOukqIiIiIiIiIk+WdV4HICIikpdu3LiBjY1NXochIvJU+IzZmO31+PCWTzkSEREREckr2iEsIvIUbNmyhRdffBFXV1fc3Nxo1aoVcXFx2bbdtWsXJpOJjRs3UqVKFQoUKEDt2rU5efJklrZbt27Fz88PR0dHmjVrRmJionHv0KFDvPTSSxQuXBgXFxcaNmzI0aNH7xtnqVKlAAgMDMRkMhEUFARAZmYmU6ZMoXjx4tja2hIQEMCWLVss+v7888906tSJQoUK4eDgQPXq1Tlw4IBxf+HChZQpUwYbGxvKly/PihUrLPqbTCYWLlxI8+bNsbOzo3Tp0nzxxRdZYvzxxx9p1KgR9vb2VK1alX379lnc37t3L/Xr18fOzg5vb28GDRpEWlqacd/Hx4epU6fStWtXnJ2d6dOnDwBffvklFStWxNbWFh8fHyIjI++7ViIiIiIiIiLPIyWERUSegrS0NIYNG8bhw4fZsWMHVlZWtG3blszMzBz7jBw5ksjISA4dOoS7uzshISHcvHnTuH/t2jUiIiJYsWIF//3vf0lISGDEiBHG/atXr9KtWzf27t3L/v378fX1pUWLFly9ejXHOQ8ePAjA9u3bSUxMZO3atQDMnTuXyMhIIiIiOHHiBMHBwbzyyiucPXsWgNTUVBo2bMj//vc/NmzYQExMDKNGjTKeb926dQwePJjhw4dz8uRJ+vbtS/fu3dm5c6fF/BMmTODVV18lJiaG0NBQOnbsSGxsrEWbcePGMWLECI4fP065cuXo1KkTt27dAiAuLo5mzZrx6quvcuLECT777DP27t3LgAEDLMaIiIigatWqHDt2jAkTJnDkyBHat29Px44d+e6775g0aRITJkwgKioqx7W6V3p6OikpKRaHiIiIiIiIyLPGZDabzXkdhIjIP80ff/yBu7s73333HY6OjpQqVYpjx44REBDArl27aNSoEatXr6ZDhw4AXLp0ieLFixMVFUX79u2Jioqie/funDt3jjJlygDwwQcfMGXKFH799dds58zMzMTV1ZVVq1bRqlWrbNvEx8dbxHJHsWLFeOutt/i///s/41rNmjWpUaMG77//Ph999BEjRowgPj6eQoUKZRm3Xr16VKxYkY8++si41r59e9LS0ti48fafL5tMJvr168fChQuNNrVr16ZatWp88MEHRmxLliyhZ8+eAJw6dYqKFSsSGxtLhQoV6NWrF/ny5WPRokXGGHv37qVhw4akpaVRoEABfHx8CAwMZN26dUab0NBQfv/9d7755hvj2qhRo9i4cSPff/89cHtn8ZAhQxgyZEi2azdp0iQmT56c5XpycjLOzs7Z9hERedpUMkJERETk7yslJQUXF5cH/h6qHcIiIk/B2bNn6dSpE6VLl8bZ2RkfHx8AEhIScuxTp04d43OhQoUoX768xW5Ze3t7IxkM4OnpSVJSknH+22+/0bt3b3x9fXFxccHZ2ZnU1FRjzn79+uHo6GgcOUlJSeGXX36hXr16Ftfr1atnxHP8+HECAwOzTQYDxMbG3rd/ds985/zeNlWqVLF4ZsB47piYGKKioiyeKzg4mMzMTH766SejX/Xq1XMV39mzZ8nIyMj2me41duxYkpOTjePChQu56iciIiIiIiLyNOmlciIiT0FISAglS5Zk8eLFeHl5kZmZSaVKlbhx48Yjj5k/f36Lc5PJxN1/9NGtWzcuXrzI3LlzKVmyJLa2ttSpU8eYc8qUKRYlJv4KOzu7xzJObtz93CaTCcAoTZGamkrfvn0ZNGhQln4lSpQwPjs4ODz2uGxtbbG1tX3s44qIiIiIiIg8TtohLCLyhF28eJHTp08zfvx4mjRpgp+fH5cvX35gv/379xufL1++zJkzZ/Dz88v1vNHR0QwaNIgWLVoYL0v7448/jPtFihShbNmyxgFgY2MDYLEr1tnZGS8vL6Kjo7OM7+/vD9zetXv8+HEuXbqUbSx+fn737Z/dM985f5hnrlatGqdOnbJ4rjvHnWd7mPjKlStHvnz5cj2/iIiIiIiIyLNOO4RFRJ6wggUL4ubmxkcffYSnpycJCQmMGTPmgf2mTJmCm5sbRYsWZdy4cRQuXJg2bdrkel5fX19WrFhB9erVSUlJYeTIkQ/cyVukSBHs7OzYsmULxYsXp0CBAri4uDBy5EgmTpxImTJlCAgIYNmyZRw/fpyVK1cC0KlTJ9555x3atGnDjBkz8PT05NixY3h5eVGnTh1GjhxJ+/btCQwMpGnTpnz99desXbuW7du3W8y/Zs0aqlevzosvvsjKlSs5ePAgS5cuzfUzjx49mtq1azNgwAB69eqFg4MDp06dYtu2bSxYsCDHfsOHD6dGjRpMnTqVDh06sG/fPhYsWMAHH3yQ67lFRJ4HqhUsIiIiItohLCLyhFlZWbF69WqOHDlCpUqVGDp0KLNmzXpgv/DwcAYPHswLL7zAr7/+ytdff33fXa73Wrp0KZcvX6ZatWp06dKFQYMGUaRIkfv2sba2Zt68eSxatAgvLy9at24NwKBBgxg2bBjDhw+ncuXKbNmyhQ0bNuDr6wvc3ln8zTffUKRIEVq0aEHlypUJDw83dte2adOGuXPnEhERQcWKFVm0aBHLli0jKCjIYv7JkyezevVqqlSpwieffMKnn36aZRfx/VSpUoXdu3dz5swZ6tevT2BgIG+//TZeXl737VetWjU+//xzVq9eTaVKlXj77beZMmUKYWFhuZ5bRERERERE5HlgMt9dcFJERPLcrl27aNSoEZcvX8bV1TWvw3lqTCYT69ate6hd0M+y3L7dVURERERERORxyO3vodohLCIiIiIiIiIiIvIPoYSwiIiIiIiIiIiIyD+EEsIiInlk0qRJBAQEZLkeFBSE2WzOVbmInMa4Hx8fH+bMmfNQfR5WVFTUQ5e7MJvNT6RcRFhY2APHDQoKYsiQIY99bhEREREREZFnjRLCIvK39d///peQkBC8vLwwmUysX78+z2LJ6/nvdujQIfr06fPYxssuwdyhQwfOnDnz2Ob4K+bOnUtUVFRehyEiIiIiIiLyTLDO6wBERJ6UtLQ0qlatSo8ePWjXrl1eh/PMcHd3f+Jz2NnZYWdn98TnyQ0XF5e8DkFE5JnhM2ZjXoeQ5+LDW+Z1CCIiIiJ5SjuEReRvq3nz5kybNo22bdvmuo/JZGLRokW0atUKe3uZ68MuAAEAAElEQVR7/Pz82LdvH+fOnSMoKAgHBwfq1q1LXFycRb+vvvqKatWqUaBAAUqXLs3kyZO5desWcHsHLUDbtm0xmUzG+R0rVqzAx8cHFxcXOnbsyNWrVwH45JNPcHNzIz093aJ9mzZt6NKlS7bx/3/s3Xt8z/X///Hbe2NjZzuwYcxhZs5z3iRLNMcPUgphTiUNw5w+IqZYMedCyJBCHyURwqfJVs5NyXL6tSafSTlsRrbZ9vvDxevrbQeb0xzu18vldbm8X6/X8/B4vt6Lyx6ePV43yiPMmDEDDw8PXFxceOONN8jIyDDa3Lqj9+LFi7z22muUKVOGEiVKUKtWLTZu3GjcX7duHTVr1sTa2hovLy8iIyONe4GBgfz+++8MHz4ck8mEyWQCcpaMuFHaIq+1AmzZsoWnnnoKJycnXFxc6NChg9lzTkhIwGQysXbtWpo3b07JkiVp1KgRx44dY9++fTRs2BA7Ozvatm3LX3/9leOZ3HD58mV69+6NnZ0dHh4eZuu5IS0tjbCwMMqVK4etrS1NmjQhOjo612cuIiIiIiIi8ihRQlhE5BZTpkyhd+/exMXFUb16dXr06MFrr73GuHHj2L9/P9nZ2YSEhBjtd+3aRe/evRk2bBhHjhxh0aJFREVF8c477wDXSzQALFu2jKSkJOMc4OTJk6xfv56NGzeyceNGdu7cSUREBAAvvvgimZmZbNiwwWh/9uxZNm3aRL9+/fKM/9tvv+XkyZN8++23LF++nKioqDxLJmRlZdG2bVtiY2P5+OOPOXLkCBEREVhaWgJw4MABunXrxssvv8zPP//MpEmTmDBhgjHe559/Tvny5QkPDycpKYmkpKQ848pvrXA9UTtixAj279/Pjh07sLCwoEuXLmRlZZmN89Zbb/Hmm29y8OBBihUrRo8ePRg9ejRz5sxh165dnDhxgokTJ+YZx6hRo9i5cydffvkl33zzDdHR0Rw8eNCsTUhICD/88AOrV6/mp59+4sUXX6RNmzYcP348z3HT0tJISUkxO0REREREREQeNioZISJyi759+9KtWzcAxowZg7+/PxMmTCAoKAiAYcOG0bdvX6P95MmTGTt2LH369AGgcuXKTJkyhdGjR/PWW28ZJRqcnJxwd3c3mysrK4uoqCjs7e0B6NWrFzt27OCdd96hZMmS9OjRg2XLlvHiiy8C8PHHH1OhQgUCAwPzjL9UqVLMnz8fS0tLqlevTvv27dmxYwcDBw7M0Xb79u3s3buX+Ph4qlWrZsR/w8yZM3n22WeZMGECANWqVePIkSNMnz6d4OBgnJ2dsbS0xN7ePsfabpXfWgG6du1q1v6jjz7Czc2NI0eOUKtWLeN6WFiY2XfRvXt3duzYQbNmzQDo379/ngnw1NRUli5dyscff8yzzz4LwPLlyylfvrzRJjExkWXLlpGYmEjZsmWNObds2cKyZcuYOnVqrmNPmzaNyZMn5/sMRERERERERIqadgiLyBNp6tSp2NnZGUdiYqJxr06dOsbnMmXKAFC7dm2za1evXjV2gB46dIjw8HCz8QYOHEhSUhJXrlzJNw4vLy8jQQrg4eHB2bNnjfOBAwfyzTffcPr0aeB6KYbg4GCjNENuatasaezwzW3Mm8XFxVG+fHkjGXyr+Ph4I9F6Q7NmzTh+/DiZmZn5ru1Wt1vr8ePH6d69O5UrV8bBwcEorXHzdwMF+37yWu/JkydJT0+nSZMmxjVnZ2d8fHyM859//pnMzEyqVatm9p3u3LkzR6mQm40bN47k5GTjOHXqVH6PQ0RERERERKRIaIewiDyRBg0aZOwCBoydoADFixc3Pt9IvOZ27UYpg9TUVCZPnpzri+tKlCiRbxw3j3tj7JtLJPj5+VG3bl1WrFjBc889xy+//MKmTfm/EOh2Y97sQb747XZxdezYkYoVK7J48WLKli1LVlYWtWrVIj09Pc9x8vp+8lpvQaSmpmJpacmBAwfMEusAdnZ2efaztrbG2tr6jucVEREREREReRCUEBaRJ5KzszPOzs73ZKz69etz9OhRqlatmmeb4sWLF3pH7Q0DBgxg9uzZnD59mlatWuHp6XmnoeZQp04d/vjjD44dO5brLmFfX19iY2PNrsXGxlKtWjUjWWplZXXHa7vh3LlzHD16lMWLF9O8eXMAYmJi7mrM3FSpUoXixYuzZ88eKlSoAMCFCxc4duwYLVq0AK4n4TMzMzl79qwRi4iIiIiIiMjjQglhEXlspaamcuLECeP8t99+Iy4uDmdnZyMZeC9MnDiRDh06UKFCBV544QUsLCw4dOgQhw8f5u233waul0u4UefW2tqaUqVKFXj8Hj16EBYWxuLFi1mxYsU9ixugRYsWPP3003Tt2pWZM2dStWpVfv31V0wmE23atGHkyJE0atSIKVOm8NJLL/HDDz8wf/58PvjgA2MMLy8vvvvuO15++WWsra1xdXUtdBylSpXCxcWFDz/8EA8PDxITExk7duy9XCpwfYdv//79GTVqFC4uLpQuXZrx48djYfF/FZSqVatGz5496d27N5GRkfj5+fHXX3+xY8cO6tSpQ/v27e95XCIiD0pChP4MExEREXnSqYawiDy29u/fj5+fH35+fgCMGDECPz8/Jk6ceE/nCQoKYuPGjXzzzTc0atSIpk2bMmvWLCpWrGi0iYyMZNu2bXh6ehrxFJSjoyNdu3bFzs6Ozp0739PYAdatW0ejRo3o3r07NWrUYPTo0caO3/r167N27VpWr15NrVq1mDhxIuHh4QQHBxv9w8PDSUhIoEqVKsYL9ArLwsKC1atXc+DAAWrVqsXw4cOZPn36vVheDtOnT6d58+Z07NiRVq1a8dRTT9GgQQOzNsuWLaN3796MHDkSHx8fOnfuzL59++7pPySIiIiIiIiIFAVTdnZ2dlEHISIi+Xv22WepWbMmc+fOLepQpIBSUlJwdHQkOTkZBweHog5HREREREREHnMF/T1UJSNERB5iFy5cIDo6mujoaLMyDSIiIiIiIiIid0IJYRGRh5ifnx8XLlzg3XffxcfHp6jDEREREREREZFHnGoIi4g8xBISEkhOTmbjxo2Ehobm29bLy4vZs2cb5yaTifXr1xvjmEwm4uLi7jqmwMDAQsdyp44ePYq7uzuXLl2667Hys3DhQjp27Hhf5xARERERERF5GCghLCLymNi3bx+vvvpqrvc8PT1JSkqiVq1aRR5LYYwbN44hQ4Zgb28PQHR0NCaTKdfjzJkzuY5xIxme27F7924A+vXrx8GDB9m1a1eO/tHR0UyaNOmu1yIiIiIiIiLyMFDJCBGRx4Sbm1ue9ywtLXF3d8/zfnZ2NpmZmRQrdm/+WsgvloJKTExk48aNzJs3L8e9o0eP5iiQX7p06XzH2759OzVr1jS75uLiAoCVlRU9evRg7ty5NG/eHLi+a/j555832qanpzNv3jyGDh1K8eLF72hNIiJFzWvspqIO4ZGRENG+qEMQERERuS+0Q1hE5BFx7do1QkJCcHR0xNXVlQkTJpCdnW3cz69Mw60lI27stN28eTMNGjTA2tqamJgYgoOD6dy5s1nf0NBQAgMD7yoWk8nEkiVL6NKlCzY2Nnh7e7Nhw4Z817t27Vrq1q1LuXLlctwrXbo07u7uZoeFRf5/pbm4uOToc3Nit2PHjmzYsIF//vkHuL6r+l//+hdffPEFv/zyCy1btjTWIiIiIiIiIvKoUkJYROQRsXz5cooVK8bevXuZM2cOM2fOZMmSJXc15tixY4mIiCA+Pp46derc11gmT55Mt27d+Omnn2jXrh09e/bk/PnzebbftWsXDRs2LHBMd6thw4Zcu3aNPXv2ANC+fXu2bt3KN998w9dff828efMYOXJknruo09LSSElJMTtEREREREREHjZKCIuIPCI8PT2ZNWsWPj4+9OzZkyFDhjBr1qy7GjM8PJzWrVtTpUoVnJ2d72sswcHBdO/enapVqzJ16lRSU1PZu3dvnu1///13ypYtm+u98uXLY2dnZxy3loLITUBAgFkfOzs7s/s2NjY4Ojry+++/A7BlyxbatGnDc889R7t27Rg6dChz5swhMzMz1/GnTZuGo6OjcXh6et42JhEREREREZEHTQlhEZFHRNOmTc3KFfj7+3P8+PE8E5QFcac7cO8klpt3INva2uLg4MDZs2fzbP/PP/9QokSJXO/t2rWLuLg44/j6669vG/OaNWvM+twon3GzkiVLcuXKFQB+++03vvzyS7p06ULNmjXZsWMHGRkZZGVl5Tr+uHHjSE5ONo5Tp07dNiYRERERERGRB00vlRMReYLZ2tqanVtYWJjVAgbIyMi4J3Pd+iI2k8mUZ3IVwNXVlQsXLuR6r1KlSjg5ORVqfk9PT6pWrZpvm/PnzxsvxHv99dcBOHLkCHD9xXNhYWF59rW2tsba2rpQMYmIiIiIiIg8aEoIi4g8Im7Utr1h9+7deHt7Y2lpec/mcHNz4/Dhw2bX4uLiciRzH0Qsfn5+RjL2QTh58iRXr17Fz8/P7HpgYGCOl+qJiDyqEiLaF3UIIiIiIlLEVDJCROQRkZiYyIgRIzh69Ciffvop8+bNY9iwYfd0jpYtW7J//35WrFjB8ePHeeutt3IkiB9ULEFBQfzwww+5lqE4e/YsZ86cMTtut5P53LlzOfpcvXrVuL9r1y4qV65MlSpV7uk6RERERERERB4mSgiLiDwievfuzT///EPjxo154403GDZsGK+++uo9nSMoKIgJEyYwevRoGjVqxKVLl+jdu3eRxNK2bVuKFSvG9u3bc9zz8fHBw8PD7Dhw4AAA0dHRmEwmEhISzPq0atUqR5/169cb9z/99FMGDhx4T9cgIiIiIiIi8rAxZd9aLFJEROQh8f7777Nhwwa2bt1a4D7Lli1j6tSpHDlyJEepi7z88ssvtGzZkmPHjuHo6Hin4ZpJSUnB0dGR5ORkHBwc7smYIiIiIiIiInkp6O+hqiEsIiIPrddee42LFy9y6dIl7O3tC9Tn66+/ZurUqQVOBgMkJSWxYsWKe5YMFhEREREREXlYqWSEiMgjLDAwkNDQ0HzbeHl5MXv2bOPcZDIZpRISEhIwmUzExcUVSSy3U6xYMcaPH58jGXz06FHc3d25dOlSjj6fffYZL774YoHngOvlJIKCgnK9l56ejpeXF/v37y/UmCIiIiIiIiIPI+0QFhF5zO3btw9bW9tc73l6epKUlISrq2uRx1IY48aNY8iQIUai2MvLi99//z3P9gkJCVSsWDHHdZPJlO882dnZWFlZERYWxpgxY9ixY8fdBS4iIiIiIiJSxJQQFhF5zLm5ueV5z9LSEnd39zzvZ2dnk5mZSbFi9+avi/xiKajExEQ2btzIvHnzjGv79u0jMzPTrN3Fixd59tlnadCgARUqVMh1rKSkpBzXEhISaN26NX369DGu9ezZk5EjR/LLL79Qs2bNu16DiEhR8Rq7qahDyFVCRPuiDkFERETkiaGSESIij7hr164REhKCo6Mjrq6uTJgwgZvfF5pfmYZbS0ZER0djMpnYvHkzDRo0wNrampiYGIKDg+ncubNZ39DQUAIDA+8qFpPJxJIlS+jSpQs2NjZ4e3uzYcOGfNe7du1a6tatS7ly5Yxrbm5uuLu7G0fp0qUJDQ3F0dGRVatW5bkT+OY+7u7uODg4MGjQIBo2bGgWZ6lSpWjWrBmrV6/ONzYRERERERGRh50SwiIij7jly5dTrFgx9u7dy5w5c5g5cyZLliy5qzHHjh1LREQE8fHx1KlT577GMnnyZLp168ZPP/1Eu3bt6NmzJ+fPn8+z/a5du2jYsOFt49+zZw9ffvllgV9GB9C3b1+Sk5P57LPPcuyKbty4Mbt27SrwWCIiIiIiIiIPI5WMEBF5xHl6ejJr1ixMJhM+Pj78/PPPzJo1i4EDB97xmOHh4bRu3fqBxBIcHEz37t0BmDp1KnPnzmXv3r20adMm1/a///57vgnhTz/9lJkzZ7Jp0ya8vb0LHPu0adPYtGkTsbGxudZULlu2bL51itPS0khLSzPOU1JSCjy3iIiIiIiIyIOiHcIiIo+4pk2bmpVE8Pf35/jx4zlq6hbG7Xbg3stYbt6BbGtri4ODA2fPns2z/T///EOJEiVyvXfw4EH69+9PREQEQUFBBY7766+/ZsKECSxbtoy6devm2qZkyZJcuXIlzzGmTZuGo6OjcXh6ehZ4fhEREREREZEHRQlhERHJwdbW1uzcwsLCrBYwQEZGxj2Zq3jx4mbnJpOJrKysPNu7urpy4cKFHNf/+usvunTpQteuXQkLCyvw/MeOHaNHjx6MHTuWF198Mc9258+fz/eleOPGjSM5Odk4Tp06VeAYRERERERERB4UlYwQEXnE7dmzx+x89+7deHt7Y2lpec/mcHNz4/Dhw2bX4uLiciRzH0Qsfn5+HDlyxOxaRkYGL7zwAqVLl2bx4sUFHislJYVOnTrx9NNPM2XKlHzbHj58GD8/vzzvW1tbY21tXeC5RURERERERIqCEsIiIo+4xMRERowYwWuvvcbBgweZN28ekZGR93SOli1bMn36dFasWIG/vz8ff/xxrgnSBxFLUFAQAwYMIDMz00g0h4aGcujQIbZv387Fixdz9HF2dsbKysrsWnZ2Nj179uTKlStERkby559/5ujn5uZmzLFr167bJo1FRB52CRHtizoEERERESliSgiLiDzievfuzT///EPjxo2xtLRk2LBhvPrqq/d0jqCgICZMmMDo0aO5evUq/fr1o3fv3vz8888PPJa2bdtSrFgxtm/fbtQJ/uCDDwBo1KhRrn2+/fZbAgMDmTRpElFRUSQkJJCYmMjGjRsBqFatWq79fvvtN7y8vPjhhx9ITk7mhRdeuKdrEREREREREXnQTNm3FoUUERF5yL3//vts2LCBrVu3Fqpfnz59MJlMREVFFarfSy+9RN26dfn3v/9d4D4pKSk4OjqSnJyMg4NDoeYTERERERERKayC/h6qHcIiIvLIee2117h48SKXLl3C3t6+QH2ys7OJjo4mJiamUHOlp6dTu3Zthg8ffiehioiIiIiIiDxUtENYRETkPtAOYREREREREXmQCvp7qMUDjElEpMgFBgYSGhqabxsvLy9mz55tnJtMJtavXw9AQkICJpOJuLi4IonlTh09ehR3d3cuXbp012M9jv7++29Kly7NH3/8UdShiIiIiIiIiNxXSgiLiNxi3759eb4IzdPTk6SkJGrVqlXksRTGuHHjGDJkiFFeITo6GpPJlOtx5syZXMcIDAzMs4/JZGLnzp13HWd+8ovZZDLxzDPP5Nk3r9gHDRoEgKurK7179+att97Ks7+IiIiIiIjI40A1hEVEbuHm5pbnPUtLS9zd3fO8n52dTWZmJsWK3Zs/XvOLpaASExPZuHEj8+bNy3Hv6NGjOf43ktKlS+c6zueff056errZtfT0dNq3b0+JEiVo0qTJXcd687hWVlZm1wICAkhKSsrRdsOGDQwaNIjBgwfnO+bAgQMJDw83u2ZjY2N87tu3Lw0aNGD69Ok4OzsTGxvLP//8Q6tWrYw227dvx8bGhoCAgDtZlohIkfMau6lA7RIi2t/nSERERESkqGiHsIg8ca5du0ZISAiOjo64uroyYcIEbi6nnl+ZhltLRtzYtbp582YaNGiAtbU1MTExBAcH07lzZ7O+oaGhOXaaFjYWk8nEkiVL6NKlCzY2Nnh7e7Nhw4Z817t27Vrq1q1LuXLlctwrXbo07u7uZoeFRe5/NTg7O+doO2XKFP7++2+++OILSpQokWcM69ato2bNmlhbW+Pl5UVkZKTZfS8vL6ZMmULv3r1xcHDIdVe0lZVVjvkvXLhAWFgY//73v3nxxRfzfQ42NjY5+t+cDK9ZsyZly5bliy++AKBChQosWrSIwYMHc+nSJQYPHsyHH36Ip6dnvvOIiIiIiIiIPMyUEBaRJ87y5cspVqwYe/fuZc6cOcycOZMlS5bc1Zhjx44lIiKC+Ph46tSpc19jmTx5Mt26deOnn36iXbt29OzZk/Pnz+fZfteuXTRs2LDAMRXUBx98wIoVK1i3bh3ly5fPs92BAwfo1q0bL7/8Mj///DOTJk1iwoQJREVFmbWbMWMGdevW5ccff2TChAm3nf/ixYt06tSJwMBApkyZcrfLAaBx48bs2rULuF4e5LPPPsPR0ZGDBw/i5OTE2rVrlRAWERERERGRR5oSwiLyxPH09GTWrFn4+PjQs2dPhgwZwqxZs+5qzPDwcFq3bk2VKlVwdna+r7EEBwfTvXt3qlatytSpU0lNTWXv3r15tv/9998pW7ZsrvfKly+PnZ2dcdSsWbNAcX/33XeEhoby/vvv37Z8wsyZM3n22WeZMGEC1apVIzg4mJCQEKZPn27WrmXLlowcOZIqVapQpUqVfMfMysqiR48eFCtWjFWrVmEymW4b8wcffGC2Vjs7O1atWmXWpmzZsvz+++8AnD59mpdffpmLFy9Sv359Lly4wMsvv8zp06dzHT8tLY2UlBSzQ0RERERERORhoxrCIvLEadq0qVkC0d/fn8jISDIzM7G0tLyjMe90B+6dxHLzDmRbW1scHBw4e/ZsnnP8888/eZZz2LVrl/GiOYDixYvfNubExEReeOEFXn31VQYMGHDb9vHx8XTq1MnsWrNmzZg9e7bZOgvzDP/973/zww8/sHfvXrP489OzZ0/Gjx9vdq1MmTJm5yVLluTKlSvA9fIgAwYMoFWrVgQGBrJgwQK2b99OQkJCruU3pk2bxuTJkwu8BhEREREREZGioISwiMg9YGtra3ZuYWFhVgsYICMj457MdWvS1mQykZWVlWd7V1dXLly4kOu9SpUq4eTkVOC5//nnH7p06ULNmjXzrLN8p259hnlZvXo1M2bMYNOmTXh7exd4fEdHR6pWrZpvm/Pnzxsv8mvWrFmO+ze/YO5W48aNY8SIEcZ5SkqKykuIiIiIiIjIQ0cJYRF54uzZs8fsfPfu3Xh7e9/x7uDcuLm5cfjwYbNrcXFxOZK5DyIWPz8/jhw5ck/GGjBgAOfPn2fr1q0UK1awv0J8fX2JjY01uxYbG0u1atUKvc64uDj69+9PREQEQUFBhepbEIcPH87x4j+4/vLA27G2tsba2vqexyQiIiIiIiJyLykhLCJPnMTEREaMGMFrr73GwYMHmTdvHpGRkfd0jpYtWzJ9+nRWrFiBv78/H3/8MYcPH8bPz++BxxIUFMSAAQNyLUNx9uxZrl69anbNxcUl19IR06dP57PPPuOrr77i2rVrnDlzxuy+o6MjJUuWzNFv5MiRNGrUiClTpvDSSy/xww8/MH/+fD744INCrePvv/+mc+fOBAYG8sorr+SY39LS0tjdm5srV67k6GNtbU2pUqWM+wcOHGDq1KmFiktE5FGSENG+qEMQERERkSKml8qJyBOnd+/e/PPPPzRu3Jg33niDYcOG8eqrr97TOYKCgpgwYQKjR4+mUaNGXLp0id69exdJLG3btqVYsWJs3749xz0fHx88PDzMjgMHDgDXd8WaTCYSEhKA6y9ly8jIoE2bNjn6eHh4sGbNmlznr1+/PmvXrmX16tXUqlWLiRMnEh4eTnBwcKHWsWnTJn7//Xe+/vrrXOdv1KiR0dbLy4tJkyaZ9V+8eHGOPt27dzfuf/nll1SoUIHmzZsXKi4RERERERGRR4kp+9YilyIi8th5//332bBhA1u3bi1wn2XLljF16lSOHDlSoJfNPSyuXLmCi4sLmzdvzrX8Q16aNm3K0KFD6dGjxz2JIyUlBUdHR5KTk3FwcLgnY4qIiIiIiIjkpaC/h6pkhIjIE+C1117j4sWLXLp0CXt7+wL1+frrr5k6deojlQwG+Pbbb2nZsmWhksF///03zz//vNmOYREREREREZHHkXYIi4iI3AfaISwiIiIiIiIPUkF/D1UNYXksJCQkYDKZiIuLK+pQDFFRUTg5ORV1GHfs1vgnTZpEvXr1CjVGYGAgoaGh9zSuwrqTuO907ODgYDp37nxf5rpbEyZMuOe1ie+XW39uvLy8mD17dpHFA9fLSaxbt65IYxARERERERG5F5QQFrlPXnrpJY4dO3bf5wkODsZkMpkdbdq0MWtz84vB7lRYWBg7duy4qzEeN4/KMzlz5gxz5sxh/PjxOe798MMPWFpa0r59zrfO3/iHlhuHvb09NWvW5I033uD48eNmbaOioox2FhYWlC9fnr59+3L27NlCx/v5558zZcqUQve7n958803Gjh1LVlZWUYciIiIiIiIicldUQ1jkPilZsiQlS5Z8IHO1adOGZcuWGefW1tb3fA47Ozvs7Ozu+biPouzsbDIzMx+ZZ7JkyRICAgKoWLFijntLly5lyJAhLF26lP/973+ULVs2R5vt27dTs2ZNrly5ws8//8ycOXOoW7cuX331Fc8++6zRzsHBgaNHj5KVlcWhQ4fo27cv//vf/wr8Irv09HSsrKxwdna+88XeJ23btmXAgAFs3rw51+S5iDxYXmM3FXUIj6yECP0ZJiIiIvKk0w5heehs2bKFp556CicnJ1xcXOjQoQMnT540a7N37178/PwoUaIEDRs25Mcff8wxzuHDh2nbti12dnaUKVOGXr168ffffxv3AwMDGTp0KKNHj8bZ2Rl3d3cmTZpkNkZiYiKdOnXCzs4OBwcHunXrxp9//mncP3ToEM888wz29vY4ODjQoEED9u/fD+RdcmHlypV4eXnh6OjIyy+/zKVLl4w2WVlZTJs2jUqVKlGyZEnq1q3Lf/7zn9s+M2tra9zd3Y2jVKlSt+1zq6ioKCpUqICNjQ1dunTh3LlzZvfzKo8wefJk3NzccHBwYNCgQaSnp5v1y8rKuu/PeP369Xh7e1OiRAmCgoI4depUjvXl99zT0tIYOnQopUuXpkSJEjz11FPs27fPuB8dHY3JZGLz5s00aNAAa2trYmJi8ixHkd8zud1cFy5coGfPnri5uVGyZEm8vb3Nkv2nTp2iW7duODk54ezsTKdOnW67+3v16tV07Ngxx/XU1FTWrFnD66+/Tvv27YmKisq1v4uLC+7u7lSuXJlOnTqxfft2mjRpQv/+/cnMzDTamUwm3N3dKVu2LG3btmXo0KFs376df/75J9dxbzy/JUuWUKlSJUqUKAHkXmrk0qVLdO/eHVtbW8qVK8f7779vdv9ufo4AYmJiaN68OSVLlsTT05OhQ4dy+fJl476lpSXt2rVj9erVuT9kERERERERkUeEEsLy0Ll8+TIjRoxg//797NixAwsLC7p06WL8r9qpqal06NCBGjVqcODAASZNmkRYWJjZGBcvXqRly5b4+fmxf/9+tmzZwp9//km3bt3M2i1fvhxbW1v27NnDe++9R3h4ONu2bQOuJzI7derE+fPn2blzJ9u2beP//b//x0svvWT079mzJ+XLl2ffvn0cOHCAsWPHUrx48TzXdvLkSdavX8/GjRvZuHEjO3fuJCIiwrg/bdo0VqxYwcKFC/nll18YPnw4r7zyCjt37sz3mUVHR1O6dGl8fHx4/fXXcyRzb2fPnj3079+fkJAQ4uLieOaZZ3j77bdv22/Hjh3Ex8cTHR3Np59+yueff87kyZPN2tzvZ3zlyhXeeecdVqxYQWxsLBcvXuTll182i+F2z3306NGsW7eO5cuXc/DgQapWrUpQUBDnz583G2fs2LFEREQQHx9PnTp17uiZ3G6uCRMmcOTIETZv3kx8fDwLFizA1dUVgIyMDIKCgrC3t2fXrl3ExsZiZ2dHmzZtciTibzh//jxHjhyhYcOGOe6tXbuW6tWr4+PjwyuvvMJHH31EQd4zamFhwbBhw/j99985cOBAnu1KlixJVlYW165dy7PNiRMnWLduHZ9//nm+NcCnT59O3bp1+fHHHxk7dizDhg27Zz9HJ0+epE2bNnTt2pWffvqJNWvWEBMTQ0hIiFkMjRs3ZteuXbd9PiIiIiIiIiIPM5WMkIdO165dzc4/+ugj3NzcOHLkCLVq1eKTTz4hKyuLpUuXUqJECWrWrMkff/zB66+/bvSZP38+fn5+TJ061WwcT09Pjh07RrVq1QCoU6cOb731FgDe3t7Mnz+fHTt20Lp1a3bs2MHPP//Mb7/9hqenJwArVqygZs2a7Nu3j0aNGpGYmMioUaOoXr26MUZ+srKyiIqKwt7eHoBevXqxY8cO3nnnHdLS0pg6dSrbt2/H398fgMqVKxMTE8OiRYto0aJFrmO2adOG559/nkqVKnHy5En+/e9/07ZtW6M2LHDbJN+cOXNo06YNo0ePBqBatWp8//33bNmyJd9+VlZWfPTRR9jY2FCzZk3Cw8MZNWoUU6ZMwcLC4oE844yMDObPn0+TJk2A6wloX19f9u7dS+PGjW/73C9fvsyCBQuIioqibdu2ACxevJht27axdOlSRo0aZcwVHh5O69at7/iZ/PPPP7edKzExET8/PyOB6+XlZYy9Zs0asrKyWLJkCSaTCYBly5bh5OREdHQ0zz33XI54EhMTyc7OzrUUxNKlS3nllVeA6z9HycnJ7Ny5k8DAwHzXCBjfR0JCgvGcb3b8+HEWLlxIw4YNjeeem/T0dFasWIGbm1u+8zVr1oyxY8cC138+Y2NjmTVr1j35OZo2bRo9e/Y0diV7e3szd+5cWrRowYIFC4ydy2XLluXUqVNkZWUZP983S0tLIy0tzThPSUnJd00iIiIiIiIiRUE7hOWhc/z4cbp3707lypVxcHAwEmKJiYkAxu7MG0kawEig3nDo0CG+/fZbo8arnZ2dkQi6ufzErbs8PTw8jJdgxcfH4+npaSSYAGrUqIGTkxPx8fEAjBgxggEDBtCqVSsiIiJylLa4lZeXl1ly7Ob5Tpw4wZUrV2jdurVZ3CtWrMh33Jdffpl//etf1K5dm86dO7Nx40b27dtHdHR0ru1r1qxpjH0jKRkfH28kVG+49Znmpm7dutjY2Jj1SU1NNSvZcL+fcbFixWjUqJFxXr16dbP+kP9zP3nyJBkZGTRr1sy4X7x4cRo3bmw2BpDrLtvCPJOCzPX666+zevVq6tWrx+jRo/n++++NtocOHeLEiRPY29sb36GzszNXr17N82fkRrmGm/97ATh69Ch79+6le/fuwPXn+NJLL7F06dLbrhH+7x8ZbiSmAZKTk7Gzs8PGxgYfHx/KlCnDqlWrAMx+pgcNGmT0qVix4m2TwZDz59Hf3994Znf7c3To0CGioqLMYgwKCiIrK4vffvvNaHdjx/PNSd+bTZs2DUdHR+O4OR4RERERERGRh4V2CMtDp2PHjlSsWJHFixdTtmxZsrKyqFWrVp7/S3xuUlNT6dixI++++26Oex4eHsbnW8s7mEwmozRFQUyaNIkePXqwadMmNm/ezFtvvcXq1avp0qVLru3zmy81NRWATZs2Ua5cObN2hXlJXOXKlXF1deXEiRNmL/y64euvvyYjIwPggbz07kE/4/sRww22traF7lNYbdu25ffff+frr79m27ZtPPvss7zxxhvMmDGD1NRUGjRoYCRZb5ZXUvVGuYkLFy6YtVm6dCnXrl0z2zmcnZ2NtbU18+fPx9HRMd84byRaK1WqZFyzt7fn4MGDWFhY4OHhYfbzdXM5CAcHB+Pzg3imkP/PUWpqKq+99hpDhw7N0a9ChQrG5/Pnz2Nra5vnfzfjxo1jxIgRxnlKSoqSwiIiIiIiIvLQUUJYHirnzp3j6NGjLF68mObNmwPXX/Z0M19fX1auXMnVq1eNXY+7d+82a1O/fn3WrVuHl5cXxYrd2Y+5r68vp06d4tSpU0ZS58iRI1y8eJEaNWoY7apVq0a1atUYPnw43bt3Z9myZYVKVt5Qo0YNrK2tSUxMzLM8REH88ccfnDt3zizxfbOKFSvmuObr68uePXvMrt36THNz6NAh/vnnHyNBtnv3buzs7AqcBLsXz/jatWvs37/fKFtw9OhRLl68iK+vb4FiqFKlClZWVsTGxhrPJiMjg3379uV4sVlB5PdMXF1dCzSXm5sbffr0oU+fPjRv3pxRo0YxY8YM6tevz5o1ayhdurRZUvV263NwcODIkSNGqZRr166xYsUKIiMjc5SZ6Ny5M59++qnZLt5bZWVlMXfuXCpVqoSfn59x3cLCgqpVq+baJ6/rBXXrz+Pu3buN7/huf47q16/PkSNHbhvj4cOHzdZ7K2tr60L9442IiIiIiIhIUVBCWB4qpUqVwsXFhQ8//BAPDw8SExONuqE39OjRg/HjxzNw4EDGjRtHQkICM2bMMGvzxhtvsHjxYrp3787o0aNxdnbmxIkTrF69miVLlhi1dfPTqlUrateuTc+ePZk9ezbXrl1j8ODBtGjRgoYNG/LPP/8watQoXnjhBSpVqsQff/zBvn37ctRALih7e3vCwsIYPnw4WVlZPPXUUyQnJxMbG4uDgwN9+vTJ0Sc1NZXJkyfTtWtX3N3dOXnyJKNHjzZeVFZQQ4cOpVmzZsyYMYNOnTqxdevW29YPhuv1X/v378+bb75JQkICb731FiEhIbnWV83NvXjGxYsXZ8iQIcydO5dixYoREhJC06ZNc61rmxtbW1tef/11Ro0ahbOzMxUqVOC9997jypUr9O/fv0BjFPSZFGSuiRMn0qBBA2rWrElaWhobN240Ep89e/Zk+vTpdOrUifDwcMqXL8/vv//O559/zujRoylfvnyOeCwsLGjVqhUxMTF07twZgI0bN3LhwgX69++fYydw165dWbp0qVlC+Ny5c5w5c4YrV65w+PBhZs+ezd69e9m0aVOB/lu6F2JjY3nvvffo3Lkz27Zt47PPPmPTpk3A3f8cjRkzhqZNmxISEsKAAQOwtbXlyJEjbNu2jfnz5xsx7Nq1K9c6zSLy4CVEtC/qEEREREREHlmqISwPFQsLC1avXs2BAweoVasWw4cPZ/r06WZt7Ozs+Oqrr/j555/x8/Nj/PjxOUpDlC1bltjYWDIzM3nuueeoXbs2oaGhODk5FThZaTKZ+PLLLylVqhRPP/00rVq1onLlyqxZswYAS0tLzp07R+/evalWrRrdunWjbdu2TJ48+Y7XP2XKFCZMmMC0adPw9fWlTZs2bNq0yex/y7+ZpaUlP/30E//617+oVq0a/fv3p0GDBuzatatQOxWbNm3K4sWLmTNnDnXr1uWbb77hzTffvG2/Z599Fm9vb55++mleeukl/vWvfzFp0qQCz3svnrGNjQ1jxoyhR48eNGvWDDs7O6N/QUVERNC1a1d69epF/fr1OXHiBFu3bqVUqVKFGgdu/0xuN5eVlRXjxo2jTp06PP3001haWrJ69Wpjrd999x0VKlTg+eefx9fXl/79+3P16tV8dwwPGDCA1atXG2Uyli5dSqtWrXItC9G1a1f279/PTz/9ZFxr1aoVHh4e1K5dm7Fjx+Lr68tPP/3EM888U+jnc6dGjhzJ/v378fPz4+2332bmzJnGP3rc7c9RnTp12LlzJ8eOHaN58+b4+fkxceJEs3Iap0+f5vvvv6dv374PbM0iIiIiIiIi94Mp+8abgURECiE4OJiLFy+yfv36IoshKiqK0NBQLl68WGQxPAqys7Np0qSJUSpBCm/MmDFcuHCBDz/8sMB9UlJScHR0JDk5ucAlPkRERERERETuVEF/D9UOYRGRx5zJZOLDDz/k2rVrRR3KI6t06dJMmTKlqMMQERERERERuWuqISwi8gSoV68e9erVK+owHlkjR44s6hBERERERERE7gntEBaROxIVFVWk5SLg/8pWyJ3x8vJi9uzZRR3GPZGQkIDJZCIuLi7PNtHR0ZhMJv3MiIiIiIiIyBNNCWERkUI4c+YMQ4YMoXLlylhbW+Pp6UnHjh3ZsWOH0cbLywuTyZTjiIiIAPJPXgYGBhIaGmp27cSJE/Tt25fy5ctjbW1NpUqV6N69O/v377+fS32keHp6kpSURK1ate7L+IGBgfdlXBEREREREZEHTSUjREQKKCEhgWbNmuHk5MT06dOpXbs2GRkZbN26lTfeeINff/3VaBseHs7AgQPN+tvb2xd6zv379/Pss89Sq1YtFi1aRPXq1bl06RJffvklI0eOZOfOnXe9rqKUnp6OlZXVXY9jaWmJu7v7PYjo/2zcuJGyZctSv35949rq1aupX78+1apVu6dzycPPa+ymog5B5J5IiGhf1CGIiIiISBHTDmERuWuXLl2iZ8+e2Nra4uHhwaxZs3LsdF25ciUNGzbE3t4ed3d3evTowdmzZ437N/53/q1bt+Ln50fJkiVp2bIlZ8+eZfPmzfj6+uLg4ECPHj24cuWK0S8wMJAhQ4YQGhpKqVKlKFOmDIsXL+by5cv07dsXe3t7qlatyubNm40+mZmZ9O/fn0qVKlGyZEl8fHyYM2fObdc5ePBgTCYTe/fupWvXrlSrVo2aNWsyYsQIdu/ebdb2xjpvPmxtbQv1XLOzswkODsbb25tdu3bRvn17qlSpQr169Xjrrbf48ssv8+xbkO/kZrntWr548SImk4no6Gjj2i+//EKHDh1wcHDA3t6e5s2bc/LkSSD33c2dO3cmODjYOPfy8mLKlCn07t0bBwcHXn31VQDWrVtHzZo1sba2xsvLi8jISLNxvLy8mDp1Kv369cPe3p4KFSrw4Ycf5hv/119/TbVq1ShZsiTPPPMMCQkJOdYdExND8+bNKVmyJJ6engwdOpTLly8DULlyZcaNG8dbb73FxYsX6datG99++y2urq55PHURERERERGRh58SwiJy10aMGEFsbCwbNmxg27Zt7Nq1i4MHD5q1ycjIYMqUKRw6dIj169eTkJBglii8YdKkScyfP5/vv/+eU6dO0a1bN2bPns0nn3zCpk2b+Oabb5g3b55Zn+XLl+Pq6srevXsZMmQIr7/+Oi+++CIBAQEcPHiQ5557jl69ehmJ5KysLMqXL89nn33GkSNHmDhxIv/+979Zu3Ztnms8f/48W7Zs4Y033sg1sevk5FT4B3cbcXFx/PLLL4wcORILi5x/XOc3Z0G+k8I6ffo0Tz/9NNbW1vz3v//lwIED9OvXj2vXrhVqnBkzZlC3bl1+/PFHJkyYwIEDB+jWrRsvv/wyP//8M5MmTWLChAlERUWZ9YuMjKRhw4b8+OOPDB48mNdff52jR4/mOsepU6d4/vnn6dixI3FxcQwYMICxY8eatTl58iRt2rSha9eu/PTTT6xZs4aYmBhCQkIAqFGjBlu3buX48eMcOnSIVq1asWjRIpydnXOdMy0tjZSUFLNDRERERERE5GGjkhEiclcuXbrE8uXL+eSTT3j22WcBWLZsGWXLljVr169fP+Nz5cqVmTt3Lo0aNSI1NRU7Ozvj3ttvv02zZs0A6N+/P+PGjePkyZNUrlwZgBdeeIFvv/2WMWPGGH3q1q3Lm2++CcC4ceOIiIjA1dXVKNkwceJEFixYwE8//UTTpk0pXrw4kydPNvpXqlSJH374gbVr19KtW7dc13nixAmys7OpXr16gZ7LmDFjjJhu2Lx5M82bNzfOAwICciR6//nnH+rVqwfA8ePHAQo85w0F/U4K6/3338fR0ZHVq1dTvHhxgDsqndCyZUtGjhxpnPfs2ZNnn32WCRMmGGMeOXKE6dOnm/2jQbt27Rg8eDBw/fnOmjWLb7/9Fh8fnxxzLFiwgCpVqhg7jX18fPj555959913jTbTpk2jZ8+exq5mb29v5s6dS4sWLViwYAG///47oaGhNGrUiLp167J9+3bi4uJ45513KFWqVI45p02bZvZzJSIiIiIiIvIw0g5hEbkr/+///T8yMjJo3Lixcc3R0TFHku7AgQN07NiRChUqYG9vT4sWLQBITEw0a1enTh3jc5kyZbCxsTGSwTeu3Vxq4tY+lpaWuLi4ULt2bbM+gFm/999/nwYNGuDm5oadnR0ffvihEcuuXbuws7MzjlWrVpGdnV2o5zJq1Cji4uLMjoYNG5q1WbNmTb5tCjvnDQX9TgorLi6O5s2bG8ngO3Xrc4iPjzf+EeCGZs2acfz4cTIzM41rN3/PJpMJd3f3HD8LN4/ZpEkTs2v+/v5m54cOHSIqKsrsuw4KCiIrK4vffvuNY8eO8c477xAeHo6TkxNr166lefPm/PXXX7nOOW7cOJKTk43j1KlTt38YIiIiIiIiIg+YdgiLyH13+fJlgoKCCAoKYtWqVbi5uZGYmEhQUBDp6elmbW9ONppMphzJR5PJRFZWVp59cutnMpkAjH6rV68mLCyMyMhI/P39sbe3Z/r06ezZswe4nrC8uRZtmTJlyMjIwGQymb04Lj+urq5UrVo13zaenp452pQsWdL4fGP37a+//oqfn1+B5r1TN3Yq35yEzsjIyDO2vMa4NYl96xhAoWsp31CQn4XCSE1N5bXXXmPo0KE57lWoUAFfX98c17t3757neNbW1lhbW99xPCIiIiIiIiIPgnYIi8hdqVy5MsWLF2ffvn3GteTkZI4dO2ac//rrr5w7d46IiAiaN29O9erV89zZ+SDExsYSEBDA4MGD8fPzo2rVqsaL0eB64rNq1arGYW9vj7OzM0FBQbz//vvGS8dudvHixXseZ7169ahRowaRkZG5Jj7zmrMg38mt3NzcAEhKSjKu3ZwUh+s7dHft2pVrkvfGGDf3z8zM5PDhw3nOeYOvry+xsbFm12JjY6lWrRqWlpa37Z/XmHv37jW7duuL/+rXr8+RI0fMvusbh5WVlVnbm1+sJyIiIiIiIvIo0w5hEbkr9vb29OnTh1GjRuHs7Ezp0qV56623sLCwMHbmVqhQASsrK+bNm8egQYM4fPgwU6ZMKbKYvb29WbFiBVu3bqVSpUqsXLmSffv2UalSpXz7vf/++zRr1ozGjRsTHh5OnTp1uHbtGtu2bWPBggXEx8cbbS9dusSZM2fM+tvY2ODg4FDgOE0mE8uWLaNVq1Y0b96c8ePHU716dVJTU/nqq6/45ptv2LlzZ45+BflOblWyZEmaNm1KREQElSpV4uzZszlqIIeEhDBv3jxefvllxo0bh6OjI7t376Zx48b4+PjQsmVLRowYwaZNm6hSpQozZ84sUKJ85MiRNGrUiClTpvDSSy/xww8/MH/+fD744IMCP6tbDRo0iMjISEaNGsWAAQM4cOBAjpfUjRkzhqZNmxISEsKAAQOwtbXlyJEjbNu2jfnz59/x3PJ4SohoX9QhiIiIiIiI3BPaISwid23mzJn4+/vToUMHWrVqRbNmzfD19aVEiRLA9Z2jUVFRfPbZZ9SoUYOIiAhmzJhRZPG+9tprPP/887z00ks0adKEc+fOGS8ry0/lypU5ePAgzzzzDCNHjqRWrVq0bt2aHTt2sGDBArO2EydOxMPDw+wYPXp0oWNt3Lgx+/fvp2rVqgwcOBBfX1/+9a9/8csvvzB79uw8+93uO8nNRx99xLVr12jQoAGhoaG8/fbbZvddXFz473//S2pqKi1atKBBgwYsXrzYKOXQr18/+vTpQ+/evWnRogWVK1fmmWeeue0a69evz9q1a1m9ejW1atVi4sSJhIeHm71QrrAqVKjAunXrWL9+PXXr1mXhwoVMnTrVrE2dOnXYuXMnx44do3nz5vj5+TFx4sS7fvmeiIiIiIiIyMPMlH2nby0SEcnD5cuXKVeuHJGRkfTv37+owxH0nRSFlJQUHB0dSU5OLtTOcBEREREREZE7UdDfQ1UyQkTu2o8//sivv/5K48aNSU5OJjw8HIBOnToVcWRPLn0nIiIiIiIiIpIbJYRF5J6YMWMGR48excrKigYNGrBr1y5cXV2LOqwnmr4TEREREREREbmVagiLyF3z8/PjwIEDpKamcv78ebZt20bt2rWLOqwHJiEhAZPJRFxcXIH7REVF4eTkdN9iehK+k+joaEwmk9mL69avX0/VqlWxtLQkNDS0yGITEREREREReVgpISwi8hj69ttvadeuHS4uLtjY2FCjRg1GjhzJ6dOngf9LpuZ2nDlzBoBJkyZRr169HGPnlQBft24dgYGBODo6YmdnR506dQgPD+f8+fP3e7mG1157jRdeeIFTp04xZcqUAvUJDAxU8lhERERERESeGCoZISLymFm0aBGDBw+mT58+rFu3Di8vLxITE1mxYgWRkZHMnDnTaHv06NEcheZLly5d6DnHjx/Pu+++y/Dhw5k6dSply5bl+PHjLFy4kJUrVzJs2LC7XtftpKamcvbsWYKCgihbtux9n09EHk9eYzcVdQj3VUJE+6IOQURERESKmHYIi4jcxpYtW3jqqadwcnLCxcWFDh06cPLkyTzb39h9u2nTJurUqUOJEiVo2rQphw8fztF269at+Pr6YmdnR5s2bUhKSjLu7du3j9atW+Pq6oqjoyMtWrTg4MGD+cb6xx9/MHToUIYOHcpHH31EYGAgXl5ePP300yxZsoSJEyeatS9dujTu7u5mh4VF4f5q2Lt3L1OnTiUyMpLp06cTEBCAl5cXrVu3Zt26dfTp0yfXfunp6YSEhODh4UGJEiWoWLEi06ZNA3LfhXzx4kVMJhPR0dE5xoqOjsbe3h6Ali1bGu3OnTtH9+7dKVeuHDY2NtSuXZtPP/3U6BccHMzOnTuZM2eOsUM6ISEBgMOHD9O2bVvs7OwoU6YMvXr14u+//y7UsxERERERERF52CghLCJyG5cvX2bEiBHs37+fHTt2YGFhQZcuXcjKysq336hRo4iMjGTfvn24ubnRsWNHMjIyjPtXrlxhxowZrFy5ku+++47ExETCwsKM+5cuXaJPnz7ExMSwe/duvL29adeuHZcuXcpzzs8++4z09HRGjx6d6/37Ubd41apV2NnZMXjw4ELNOXfuXDZs2MDatWs5evQoq1atwsvL645iCAgI4OjRo8D10hVJSUkEBARw9epVGjRowKZNmzh8+DCvvvoqvXr1Yu/evQDMmTMHf39/Bg4cSFJSEklJSXh6enLx4kVatmyJn58f+/fvZ8uWLfz5559069YtzxjS0tJISUkxO0REREREREQeNioZISJyG127djU7/+ijj3Bzc+PIkSPUqlUrz35vvfUWrVu3BmD58uWUL1+eL774wkgqZmRksHDhQqpUqQJASEgI4eHhRv+WLVuajffhhx/i5OTEzp076dChQ65zHj9+HAcHBzw8PAq0tvLly5udV6xYkV9++cU4//nnn7GzszNrk52dnWPOypUrU7x48QLNeUNiYiLe3t489dRTmEwmKlasWKj+N7OysjJKXTg7O+Pu7g5AuXLlzJLsQ4YMYevWraxdu5bGjRvj6OiIlZUVNjY2Rh+A+fPn4+fnx9SpU41rH330EZ6enhw7doxq1arliGHatGlMnjz5jtcgIiIiIiIi8iAoISwichvHjx9n4sSJ7Nmzh7///tvYGZyYmJhvQtjf39/47OzsjI+PD/Hx8cY1GxsbIxkM4OHhwdmzZ43zP//8kzfffJPo6GjOnj1LZmYmV65cITExEYBBgwbx8ccfG+1TU1PJzs7GZDIVeG27du0ySi0AOZK6Pj4+bNiwweza6dOnCQwMNM5vTRAXVHBwMK1bt8bHx4c2bdrQoUMHnnvuuTsaKy+ZmZlMnTqVtWvXcvr0adLT00lLS8PGxibffocOHeLbb7/NkQwHOHnyZK4J4XHjxjFixAjjPCUlBU9Pz7tfhIiIiIiIiMg9pISwiMhtdOzYkYoVK7J48WLKli1LVlYWtWrVIj09/a7GvTX5ajKZzJKrffr04dy5c8yZM4eKFStibW2Nv7+/MW94eLjZ7leAatWqkZycTFJSUoF2CVeqVCnfMhJWVlZUrVrV7FqxYuZ/dVSrVo2YmBgyMjIKtUu4fv36/Pbbb2zevJnt27fTrVs3WrVqxX/+8x+jjvHNz+PmchsFNX36dObMmcPs2bOpXbs2tra2hIaG3va7S01NpWPHjrz77rs57uX1XK2trbG2ti50jCIiIiIiIiIPkmoIi4jk49y5cxw9epQ333yTZ599Fl9fXy5cuFCgvrt37zY+X7hwgWPHjuHr61vguWNjYxk6dCjt2rWjZs2aWFtbm73UrHTp0lStWtU4AF544QWsrKx47733ch3z4sWLBZ6/oHr06EFqaioffPBBoed0cHDgpZdeYvHixaxZs4Z169Zx/vx53NzcAMxesnfzC+YKKjY2lk6dOvHKK69Qt25dKleuzLFjx8zaWFlZkZmZaXatfv36/PLLL3h5eZk946pVq2Jra1voOEREREREREQeFtohLCKSj1KlSuHi4sKHH36Ih4cHiYmJjB07tkB9w8PDcXFxoUyZMowfPx5XV1c6d+5c4Lm9vb1ZuXIlDRs2JCUlhVGjRlGyZMl8+3h6ejJr1ixCQkJISUmhd+/eeHl58ccff7BixQrs7OyIjIw02p89e5arV6+ajeHi4lKonb5NmjRh9OjRjBw5ktOnT9OlSxfKli3LiRMnWLhwIU899RTDhg3L0W/mzJl4eHjg5+eHhYUFn332Ge7u7jg5OWFhYUHTpk2JiIigUqVKnD17ljfffLPAMd3g7e3Nf/7zH77//ntKlSrFzJkz+fPPP6lRo4bRxsvLiz179pCQkICdnR3Ozs688cYbLF68mO7duzN69GicnZ05ceIEq1evZsmSJVhaWhY6FhF5NCREtC/qEERERERE7ivtEBYRyYeFhQWrV6/mwIED1KpVi+HDhzN9+vQC9Y2IiGDYsGE0aNCAM2fO8NVXX2FlZVXguZcuXcqFCxeoX78+vXr1YujQocaL0/IzePBgvvnmGyM5W716dQYMGICDg0OOEhM+Pj54eHiYHQcOHChwjDe8++67fPLJJ+zZs4egoCBq1qzJiBEjqFOnDn369Mm1j729Pe+99x4NGzakUaNGJCQk8PXXXxvlIj766COuXbtGgwYNCA0N5e233y50XG+++Sb169cnKCiIwMBA3N3dcyTlw8LCsLS0pEaNGri5uZGYmEjZsmWJjY0lMzOT5557jtq1axMaGmokq0VEREREREQeVabsO30bkIiI5Co6OppnnnmGCxcu5FufVx5vKSkpODo6kpycjIODQ1GHIyIiIiIiIo+5gv4eqm1OIiIiIiIiIiIiIk8IJYRFREREREREREREnhBKCIuI3GOBgYFkZ2c/1uUiEhISMJlMxMXF5dkmOjoak8nExYsXAYiKijJ7JpMmTaJevXr3NU4RERERERERMaeEsIjIIyw4ODjHS9IeFgEBASQlJeHo6Jjr/bCwMHbs2PGAoxIRERERERF5shUr6gBEROThkpGRQfHixe96HCsrK9zd3fO8b2dnh52d3V3PIyIiBec1dlNRhyAPkYSI9kUdgoiIiBQB7RAWEXmMmUwm1q9fb3bNycmJqKgo4P9KP6xZs4YWLVpQokQJVq1aRVZWFuHh4ZQvXx5ra2vq1avHli1bcoz/66+/EhAQQIkSJahVqxY7d+407t1aMuJWt5aMuLHbecaMGXh4eODi4sIbb7xBRkaG0ebChQv07t2bUqVKYWNjQ9u2bTl+/LjZuIsXL8bT0xMbGxu6dOnCzJkzc5Tv+PLLL6lfvz4lSpSgcuXKTJ48mWvXrpk9tyVLltClSxdsbGzw9vZmw4YN+TxpERERERERkUeDEsIiIsLYsWMZNmwY8fHxBAUFMWfOHCIjI5kxYwY//fQTQUFB/Otf/8qRfB01ahQjR47kxx9/xN/fn44dO3Lu3Lk7juPbb7/l5MmTfPvttyxfvpyoqCgjeQ3Xk8b79+9nw4YN/PDDD2RnZ9OuXTsjaRwbG8ugQYMYNmwYcXFxtG7dmnfeecdsjl27dtG7d2+GDRvGkSNHWLRoEVFRUTnaTZ48mW7duvHTTz/Rrl07evbsyfnz5/OMPS0tjZSUFLNDRERERERE5GGjhLCIiBAaGsrzzz9PpUqV8PDwYMaMGYwZM4aXX34ZHx8f3n33XerVq8fs2bPN+oWEhNC1a1d8fX1ZsGABjo6OLF269I7jKFWqFPPnz6d69ep06NCB9u3bG3WGjx8/zoYNG1iyZAnNmzenbt26rFq1itOnTxu7oOfNm0fbtm0JCwujWrVqDB48mLZt25rNMXnyZMaOHUufPn2oXLkyrVu3ZsqUKSxatMisXXBwMN27d6dq1apMnTqV1NRU9u7dm2fs06ZNw9HR0Tg8PT3v+DmIiIiIiIiI3C9KCIuIPAZWrVpl1OS1s7Nj165dherfsGFD43NKSgr/+9//aNasmVmbZs2aER8fb3bN39/f+FysWDEaNmyYo01h1KxZE0tLS+Pcw8ODs2fPAhAfH0+xYsVo0qSJcd/FxQUfHx9jzqNHj9K4cWOzMW89P3ToEOHh4WbPa+DAgSQlJXHlyhWjXZ06dYzPtra2ODg4GLHkZty4cSQnJxvHqVOn7uAJiIiIiIiIiNxfeqmciMhj4F//+pdZorRcuXLA9Vq42dnZZm1vrsl7g62t7f0NsIBufZmdyWQiKyvrns6RmprK5MmTef7553PcK1GixB3HYm1tjbW19b0LVEREREREROQ+0A5hEZHHgL29PVWrVjWOkiVLAuDm5kZSUpLR7vjx42a7YHPj4OBA2bJliY2NNbseGxtLjRo1zK7t3r3b+Hzt2jUOHDiAr6/v3S4nV76+vly7do09e/YY186dO8fRo0eNuHx8fNi3b59Zv1vP69evz9GjR82e143DwkJ/LYqIiIiIiMjjTTuERUQeYy1btmT+/Pn4+/uTmZnJmDFjcux8zc2oUaN46623qFKlCvXq1WPZsmXExcWxatUqs3bvv/8+3t7e+Pr6MmvWLC5cuEC/fv3uy1q8vb3p1KkTAwcOZNGiRdjb2zN27FjKlStHp06dABgyZAhPP/00M2fOpGPHjvz3v/9l8+bNmEwmY5yJEyfSoUMHKlSowAsvvICFhQWHDh3i8OHDvP322/cldhGRh0VCRPuiDkFEREREipi2QomIPMYiIyPx9PSkefPm9OjRg7CwMGxsbG7bb+jQoYwYMYKRI0dSu3ZttmzZwoYNG/D29jZrFxERQUREBHXr1iUmJoYNGzbg6up6v5bDsmXLaNCgAR06dMDf35/s7Gy+/vprI8ndrFkzFi5cyMyZM6lbty5btmxh+PDhZqUggoKC2LhxI9988w2NGjWiadOmzJo1i4oVK963uEVEREREREQeFqbsW4tLioiIPEYGDhzIr7/+WugX7d2tlJQUHB0dSU5OxsHB4YHOLSIiIiIiIk+egv4eqpIRIiLyWJkxYwatW7fG1taWzZs3s3z5cj744IOiDktERERERETkoaCEsIiIPFb27t3Le++9x6VLl6hcuTJz585lwIABRR2WiIiIiIiIyENBNYRF5KGVkJCAyWQiLi6uwH2ioqJwcnK6bzE9LqKjozGZTFy8eLGoQ7knJk2aRL169QBYu3YtZ8+e5Z9//uGXX35h0KBBAAQHB9O5c+eiC1JERERERETkIaCEsIhIIXz77be0a9cOFxcXbGxsqFGjBiNHjuT06dPA/yVaczvOnDkDmCcvb5ZXAnzdunUEBgbi6OiInZ0dderUITw8nPPnz9/v5T4ywsLC2LFjx30ZOyoqiqioqPsytoiIiIiIiMiDppIRIiIFtGjRIgYPHkyfPn1Yt24dXl5eJCYmsmLFCiIjI5k5c6bR9ujRozkKuJcuXbrQc44fP553332X4cOHM3XqVMqWLcvx48dZuHAhK1euZNiwYXe9rqKSnZ1NZmYmxYrd/V9FdnZ22NnZ3YOo/s+sWbPMSk1cunSJJUuWMHz48Hs6j4hIbrzGbrov4yZEtL8v44qIiIjIo0M7hEWkyGzZsoWnnnoKJycnXFxc6NChAydPnsyz/Y3dt5s2baJOnTqUKFGCpk2bcvjw4Rxtt27diq+vL3Z2drRp04akpCTj3r59+2jdujWurq44OjrSokULDh48mG+sf/zxB0OHDmXo0KF89NFHBAYG4uXlxdNPP82SJUuYOHGiWfvSpUvj7u5udlhYFO6P3L179zJ16lQiIyOZPn06AQEBeHl50bp1a9atW0efPn3y7Pv9999Tr149SpQoQcOGDVm/fn2+5Tdy27U8e/ZsvLy8zK599NFH1KxZE2trazw8PAgJCQFy39188eJFTCYT0dHRwP99f5s3b6ZBgwZYW1sTExNDWloaQ4cOpXTp0pQoUYKnnnqKffv2GePc6Ldjxw4aNmyIjY0NAQEBHD16NM/4MzMzGTFihPGzNXr0aLKzs83WkpWVxbRp06hUqRIlS5akbt26/Oc//zHulypVitatWxMTE0NMTAytW7emVKlSeT5zERERERERkUeBEsIiUmQuX77MiBEj2L9/Pzt27MDCwoIuXbqQlZWVb79Ro0YRGRnJvn37cHNzo2PHjmRkZBj3r1y5wowZM1i5ciXfffcdiYmJhIWFGfcvXbpEnz59iImJYffu3Xh7e9OuXTsuXbqU55yfffYZ6enpjB49Otf796Nu8apVq7Czs2Pw4MGFmjMlJYWOHTtSu3ZtDh48yJQpUxgzZsxdx7NgwQLeeOMNXn31VX7++Wc2bNhA1apVCz3O2LFjiYiIID4+njp16jB69GjWrVvH8uXLOXjwIFWrViUoKChHSYzx48cTGRnJ/v37KVasGP369ctzjsjISKKiovjoo4+IiYnh/PnzfPHFF2Ztpk2bxooVK1i4cCG//PILw4cP55VXXmHnzp3A9ZrDa9euZePGjWzcuJG1a9cSHByc55xpaWmkpKSYHSIiIiIiIiIPG5WMEJEi07VrV7Pzjz76CDc3N44cOUKtWrXy7PfWW2/RunVrAJYvX0758uX54osv6NatGwAZGRksXLiQKlWqABASEkJ4eLjRv2XLlmbjffjhhzg5ObFz5046dOiQ65zHjx/HwcEBDw+PAq2tfPnyZucVK1bkl19+Mc5//vnnHCUObt3Bevz4cSpXrkzx4sULNOcNn3zyCSaTicWLF1OiRAlq1KjB6dOnGThwYKHGudXbb7/NyJEjzcpUNGrUqNDjhIeHG9/f5cuXWbBgAVFRUbRt2xaAxYsXs23bNpYuXcqoUaOMfu+88w4tWrQArieV27dvz9WrVylRokSOOWbPns24ceN4/vnnAVi4cCFbt2417qelpTF16lS2b9+Ov78/AJUrVyYmJoZFixbRokULPv74Y+bPn0/79tf/9+pu3boREhLCK6+8kuu6pk2bxuTJkwv9PEREREREREQeJCWERaTIHD9+nIkTJ7Jnzx7+/vtvY2dwYmJivgnhGwk8AGdnZ3x8fIiPjzeu2djYGMlgAA8PD86ePWuc//nnn7z55ptER0dz9uxZMjMzuXLlComJiQAMGjSIjz/+2GifmppKdnY2JpOpwGvbtWsX9vb2xvmtSV0fHx82bNhgdu306dMEBgYa57cmiAvq6NGjRkmNGxo3bnxHY91w9uxZ/ve///Hss8/e1TgADRs2ND6fPHmSjIwMmjVrZlwrXrw4jRs3NvtOAerUqWN8vpGYP3v2LBUqVDBrl5ycTFJSEk2aNDGuFStWjIYNGxrP9MSJE1y5csVITN+Qnp6On5+fMfa2bdtYt24dcD3JvHjx4jzXNW7cOEaMGGGcp6Sk4Onpmc+TEBEREREREXnwlBAWkSLTsWNHKlasyOLFiylbtixZWVnUqlWL9PT0uxr31uSryWQyS6726dOHc+fOMWfOHCpWrIi1tTX+/v7GvOHh4WYlJgCqVatmJBoLsku4UqVK+ZaRsLKyylFu4daXq1WrVo2YmBgyMjIKvUu4sCwsLHIkoG8uw1GyZMnb9gfzJPbN/W9ma2t7RzHe/AxuJOdvV14kL6mpqQBs2rSJcuXKmd2ztrYGMEvuAtjb2+e4dmu/G31FREREREREHlaqISwiReLcuXMcPXqUN998k2effRZfX18uXLhQoL67d+82Pl+4cIFjx47h6+tb4LljY2MZOnQo7dq1M16Q9vfffxv3S5cuTdWqVY0D4IUXXsDKyor33nsv1zEvXrxY4PkLqkePHqSmpvLBBx8Uak4fHx9+/vln0tLSjGs3v6QtN25ubpw5c8YsoXvzC+Ls7e3x8vJix44defYHzF7el9cL7G5WpUoVrKysiI2NNa5lZGSwb98+atSocdv+uXF0dMTDw4M9e/YY165du8aBAweM8xo1amBtbU1iYqLZd121atUcu3qDg4PzrR0sIiIiIiIi8ijRDmERKRKlSpXCxcWFDz/8EA8PDxITExk7dmyB+oaHh+Pi4kKZMmUYP348rq6udO7cucBze3t7s3LlSho2bEhKSgqjRo267Q5YT09PZs2aRUhICCkpKfTu3RsvLy/++OMPVqxYgZ2dHZGRkUb7s2fPcvXqVbMxXFxcCrXTt0mTJowePZqRI0dy+vRpunTpQtmyZTlx4gQLFy7kqaeeMqvne0OPHj0YP348r776KmPHjiUxMZEZM2YA5Fn2IjAwkL/++ov33nuPF154gS1btrB582YcHByMNpMmTWLQoEGULl2atm3bcunSJWJjYxkyZAglS5akadOmREREUKlSJc6ePcubb7552zXa2try+uuvM2rUKJydnalQoQLvvfceV65coX///gV+VrcaNmwYEREReHt7U716dWbOnGmWQLe3tycsLIzhw4eTlZXFU089RXJyMrGxsTg4ONCnT587nltE5F5IiGhf1CGIiIiIyGNKO4RFpEhYWFiwevVqDhw4QK1atRg+fDjTp08vUN+IiAiGDRtGgwYNOHPmDF999RVWVlYFnnvp0qVcuHCB+vXr06tXL4YOHUrp0qVv22/w4MF88803RnK2evXqDBgwAAcHhxwlJnx8fPDw8DA7bt6hWlDvvvsun3zyCXv27CEoKIiaNWsyYsQI6tSpk2fS0sHBga+++oq4uDjq1avH+PHjmThxIkCuL2AD8PX15YMPPuD999+nbt267N27N8ea+vTpw+zZs/nggw+oWbMmHTp04Pjx48b9jz76iGvXrtGgQQNCQ0N5++23C7TGiIgIunbtSq9evahfvz4nTpxg69atlCpVqkD9czNy5Eh69epFnz598Pf3x97eni5dupi1mTJlChMmTGDatGn4+vrSpk0bNm3aRKVKle54XhEREREREZGHnSn7Tt9aJCLygEVHR/PMM89w4cKFfOvzSk6rVq2ib9++JCcn33Y3tNwbKSkpODo6kpycbLbTWkREREREROR+KOjvoSoZISLyGFqxYgWVK1emXLlyHDp0iDFjxtCtWzclg0VERERERESecEoIi4g8hs6cOcPEiRM5c+YMHh4evPjii7zzzjtFHZaIiIiIiIiIFDHVEBaRR0ZgYCDZ2dn3rVxEdHQ0JpPJ7OVjt5o0aRL16tW7L/Pfy3lGjx5NQkICV69exdPTk0aNGmFjY1Pg/oGBgYSGht7x/HejIN/Dg/Tyyy+bvTBQRERERERE5FGmGsIi8kQKDAykXr16zJ4927hWkBrFqamppKWl4eLicl/ju1fzbNiwgVGjRhEfH8+1a9coW7YsYWFhjB07NkfbKVOmMH/+fP744w8uXbpE8eLFsbe3B8DLy4vQ0NAHkiROT0/n/PnzlClTBpPJdEdjJCQkmL0crnjx4lSoUIHg4GDGjx9vjPvLL78wceJEDhw4wO+//86sWbNyrPHw4cM8/fTT/Pbbbzg6OhY4BtUQFpGHkdfYTUUdwmMjIaJ9UYcgIiIiYqagv4dqh7CISCHY2dnd92TwvZxn7ty59O3bFwsLC6ysrHjllVdYtmxZjnbZ2dlERUXRu3dvihcvjrOzs5EMftCsrKxwd3e/42TwzbZv305SUhLHjx9n8uTJvPPOO3z00UfG/StXrlC5cmUiIiJwd3fPdYxatWpRpUoVPv7447uOR0RERERERKSoKSEsIk+c4OBgdu7cyZw5czCZTJhMJhISEoz7Bw4coGHDhtjY2BAQEMDRo0eNe7eWcti3bx+tW7fG1dUVR0dHWrRowcGDB83mM5lMLFq0iA4dOmBjY4Ovry8//PADJ06cIDAwEFtbWwICAjh58mSe8wQHB9O5c2dmzJiBh4cHLi4uvPHGG2RkZOS5zr/++ov//ve/dOzY0bjWv39/jh07RkxMjFnbnTt38v/+3/+jf//+gHnJiMDAQH7//XeGDx9uPC+Ac+fO0b17d8qVK4eNjQ21a9fm008/NRs3MDCQIUOGEBoaSqlSpShTpgyLFy/m8uXL9O3bF3t7e6pWrcrmzZuNPreWjIiKisLJyYmtW7fi6+uLnZ0dbdq0ISkpKc+13+Di4oK7uzsVK1akZ8+eNGvWzOz7adSoEdOnT+fll1/G2to6z3E6duzI6tWrbzufiIiIiIiIyMNOCWEReeLMmTMHf39/Bg4cSFJSEklJSXh6ehr3x48fT2RkJPv376dYsWL069cvz7EuXbpEnz59iImJYffu3Xh7e9OuXTsuXbpk1m7KlCn07t2buLg4qlevTo8ePXjttdcYN24c+/fvJzs7m5CQkHzj/vbbbzl58iTffvsty5cvJyoqiqioqDzbx8TEGAnoG2rXrk2jRo3MdskCLFu2jICAAKpXr55jnM8//5zy5csTHh5uPC+Aq1ev0qBBAzZt2sThw4d59dVX6dWrF3v37jXrv3z5clxdXdm7dy9Dhgzh9ddf58UXXyQgIICDBw/y3HPP0atXL65cuZLnWq5cucKMGTNYuXIl3333HYmJiYSFheX7vG61f/9+Dhw4QJMmTQrVD6Bx48bs3buXtLS0PNukpaWRkpJidoiIiIiIiIg8bJQQFpEnjqOjI1ZWVtjY2ODu7o67uzuWlpbG/XfeeYcWLVpQo0YNxo4dy/fff8/Vq1dzHatly5a88sorVK9eHV9fXz788EOuXLnCzp07zdr17duXbt26Ua1aNcaMGUNCQgI9e/YkKCgIX19fhg0bRnR0dL5xlypVivnz51O9enU6dOhA+/bt2bFjR57tf//9d8qUKYOFhfkf9f379+ezzz4jNTUVuJ7U/s9//pNn4tvZ2RlLS0vs7e2N5wVQrlw5wsLCqFevHpUrV2bIkCG0adOGtWvXmvWvW7cub775Jt7e3owbN44SJUrg6urKwIED8fb2ZuLEiZw7d46ffvopz7VkZGSwcOFCGjZsSP369QkJCcl37TcEBARgZ2eHlZUVjRo1olu3bvTu3fu2/W5VtmxZ0tPTOXPmTJ5tpk2bhqOjo3Hc/I8MIiIiIiIiIg8LJYRFRG5Rp04d47OHhwcAZ8+ezbXtn3/+aSQ2HR0dcXBwIDU1lcTExDzHLFOmDHB9t+7N165evZrvrtKaNWuaJa49PDzyjAvgn3/+oUSJEjmud+/enczMTCNxu2bNGiwsLHjppZfyHCs3mZmZTJkyhdq1a+Ps7IydnR1bt27Nd+2Wlpa4uLjkWDvk/YwBbGxsqFKlinF+u7XfsGbNGuLi4jh06BBr167lyy+/zPWFerdTsmRJgHx3MY8bN47k5GTjOHXqVKHnEREREREREbnfihV1ACIiD5vixYsbn2/Uy83Kysq1bZ8+fTh37hxz5syhYsWKWFtb4+/vT3p6+m3HLMw8t7a/0Se/9q6urly4cCHHdQcHB1544QWWLVtGv379WLZsGd26dcPOzi7PsXIzffp05syZw+zZs6lduza2traEhobmu/Ybcd+LtWdnZ982Rk9PT6pWrQqAr68vJ0+eZMKECUyaNCnXZHlezp8/D4Cbm1uebaytrfOtQywiIiIiIiLyMFBCWESeSFZWVmRmZt71OLGxsXzwwQe0a9cOgFOnTvH333/f9bj3gp+fH2fOnOHChQuUKlXK7F7//v0JDAxk48aNfP/990yfPj3fsXJ7XrGxsXTq1IlXXnkFuJ7QPXbsGDVq1Li3C7mHLC0tuXbtGunp6YVKCB8+fJjy5cvj6up6H6MTEbn/EiLaF3UIIiIiIlLEVDJCRJ5IXl5e7Nmzh4SEBP7+++98d6fmx9vbm5UrVxIfH8+ePXvo2bOnUV6gqPn5+eHq6kpsbGyOe08//TRVq1ald+/eVK9enYCAgHzH8vLy4rvvvuP06dNGwtvb25tt27bx/fffEx8fz2uvvcaff/55X9Zyp86dO8eZM2f4448/2Lx5M3PmzOGZZ57BwcEBgPT0dOLi4oiLiyM9PZ3Tp08TFxfHiRMnzMbZtWsXzz33XFEsQUREREREROSeUkJYRJ5IYWFhWFpaUqNGDdzc3HLUvS2opUuXcuHCBerXr0+vXr0YOnQopUuXvsfR3hlLS0v69u3LqlWrctwzmUz069ePCxcu5PkyuZuFh4eTkJBAlSpVjLIJb775JvXr1ycoKIjAwEDc3d3p3LnzvV7GXWnVqhUeHh54eXnx6quv0q5dO9asWWPc/9///oefnx9+fn4kJSUxY8YM/Pz8GDBggNHm6tWrrF+/noEDBxbFEkRERERERETuKVN2QYowiojII+nMmTPUrFmTgwcPUrFixaIO55G0YMECvvjiC7755ptC9UtJScHR0ZHk5GRjR7KIiIiIiIjI/VLQ30O1Q1hE5DHm7u7O0qVL73gHtFx/od28efOKOgwRERERERGRe0IJYRGRx1znzp1p3rw5CQkJmEwm4uLiCtw3KioKJyenex7TrbFER0djMpm4ePHiPZ/rbg0YMAAfH5+iDkNERERERETknlBCWEREilxAQABJSUk4Ojo+0HnvV8JbRERERERE5GFVrKgDEBERsbKywt3dvajDEBF57HmN3VTUIRS5hIj2RR2CiIiISJHSDmERkcfIli1beOqpp3BycsLFxYUOHTpw8uTJXNveKNOwadMm6tSpQ4kSJWjatCmHDx/O0Xbr1q34+vpiZ2dHmzZtSEpKMu7t27eP1q1b4+rqiqOjIy1atODgwYOFivvWkhE3du6uX78eb29vSpQoQVBQEKdOnTLrt2DBAqpUqYKVlRU+Pj6sXLnS7P7MmTOpXbs2tra2eHp6MnjwYFJTU405+/btS3JyMiaTCZPJxKRJkwBIS0sjLCyMcuXKYWtrS5MmTYiOji7UmkREREREREQeRkoIi4g8Ri5fvsyIESPYv38/O3bswMLCgi5dupCVlZVnn1GjRhEZGcm+fftwc3OjY8eOZGRkGPevXLnCjBkzWLlyJd999x2JiYmEhYUZ9y9dukSfPn2IiYlh9+7deHt7065dOy5dunRXa7ly5QrvvPMOK1asIDY2losXL/Lyyy8b97/44guGDRvGyJEjOXz4MK+99hp9+/bl22+/NdpYWFgwd+5cfvnlF5YvX85///tfRo8eDVwvUzF79mwcHBxISkoiKSnJWFdISAg//PADq1ev5qeffuLFF1+kTZs2HD9+/K7WJCIiIiIiIlLUVDJCROQx0rVrV7Pzjz76CDc3N44cOYKdnV2ufd566y1at24NwPLlyylfvjxffPEF3bp1AyAjI4OFCxdSpUoV4HqyNDw83OjfsmVLs/E+/PBDnJyc2LlzJx06dLjjtWRkZDB//nyaNGlixObr68vevXtp3LgxM2bMIDg4mMGDBwMwYsQIdu/ezYwZM3jmmWcACA0NNcbz8vLi7bffZtCgQXzwwQdYWVnh6OiIyWQyK1eRmJjIsmXLSExMpGzZsgCEhYWxZcsWli1bxtSpU3ONNy0tjbS0NOM8JSXljtcuIiIiIiIicr9oh7CIyGPk+PHjdO/encqVK+Pg4ICXlxdwPcmZF39/f+Ozs7MzPj4+xMfHG9dsbGyMZDCAh4cHZ8+eNc7//PNPBg4ciLe3N46Ojjg4OJCammrMOWjQIOzs7IyjoIoVK0ajRo2M8+rVq+Pk5GTEFh8fT7Nmzcz6NGvWzCz27du38+yzz1KuXDns7e3p1asX586d48qVK3nO+/PPP5OZmUm1atXM4t65c2ee5TcApk2bhqOjo3F4enoWeK0iIiIiIiIiD4p2CIuIPEY6duxIxYoVWbx4MWXLliUrK4tatWqRnp5+x2MWL17c7NxkMpGdnW2c9+nTh3PnzjFnzhwqVqyItbU1/v7+xpzh4eFmJSYelISEBDp06MDrr7/OO++8g7OzMzExMfTv35/09HRsbGxy7ZeamoqlpSUHDhzA0tLS7F5+Ce1x48YxYsQI4zwlJUVJYREREREREXnoKCEsIvKYOHfuHEePHmXx4sU0b94cgJiYmNv22717NxUqVADgwoULHDt2DF9f3wLPGxsbywcffEC7du0AOHXqFH///bdxv3Tp0pQuXbowSwHg2rVr7N+/n8aNGwNw9OhRLl68aMTm6+tLbGwsffr0MYulRo0aABw4cICsrCwiIyOxsLj+P8SsXbvWbA4rKysyMzPNrvn5+ZGZmcnZs2eN51gQ1tbWWFtbF3qdIiIiIiIiIg+SEsIiIo+JUqVK4eLiwocffoiHhweJiYmMHTv2tv3Cw8NxcXGhTJkyjB8/HldXVzp37lzgeb29vVm5ciUNGzYkJSWFUaNGUbJkybtYyXXFixdnyJAhzJ07l2LFihESEkLTpk2NBPGoUaPo1q0bfn5+tGrViq+++orPP/+c7du3A1C1alUyMjKYN28eHTt2JDY2loULF5rN4eXlRWpqKjt27KBu3brY2NhQrVo1evbsSe/evYmMjMTPz4+//vqLHTt2UKdOHdq3b3/XaxMRKSoJEfozTERERORJpxrCIiKPCQsLC1avXs2BAweoVasWw4cPZ/r06bftFxERwbBhw2jQoAFnzpzhq6++wsrKqsDzLl26lAsXLlC/fn169erF0KFD72hH8K1sbGwYM2YMPXr0oFmzZtjZ2bFmzRrjfufOnZkzZw4zZsygZs2aLFq0iGXLlhEYGAhA3bp1mTlzJu+++y61atVi1apVTJs2zWyOgIAABg0axEsvvYSbmxvvvfceAMuWLaN3796MHDkSHx8fOnfuzL59+4yd1CIiIiIiIiKPKlP2zYUgRUTkiREdHc0zzzzDhQsXcHJyKupwzERFRREaGsrFixeLOpQ7lpKSgqOjI8nJyTg4OBR1OCIiIiIiIvKYK+jvodohLCIiIiIiIiIiIvKEUEJYRERERERERERE5AmhhLCIyBMqMDCQ7OzsB1IuwmQysX79egASEhIwmUzExcXl2T44OPiRLhchIiIiIiIi8rBSQlhERO67pKQk2rZtW9Rh5BAVFfXQ1U8WERERERERuZ+KFXUAIiLyeEtPT8fd3b2owxAREcBr7KaiDuGhkhDRvqhDEBEREXngtENYRETuqcDAQEJCQggNDcXV1ZWgoCCzkhE3/PrrrwQEBFCiRAlq1arFzp07ze7v3LmTxo0bY21tjYeHB2PHjuXatWtm8wwdOpTRo0fj7OyMu7s7kyZNMhtj5syZ1K5dG1tbWzw9PRk8eDCpqakAREdH07dvX5KTkzGZTJhMJqN/WloaYWFhlCtXDltbW5o0aUJ0dPS9flQiIiIiIiIiD5wSwiIics8tX74cKysrYmNjWbhwYa5tRo0axciRI/nxxx/x9/enY8eOnDt3DoDTp0/Trl07GjVqxKFDh1iwYAFLly7l7bffzjGPra0te/bs4b333iM8PJxt27YZ9y0sLJg7dy6//PILy5cv57///S+jR48GICAggNmzZ+Pg4EBSUhJJSUmEhYUBEBISwg8//MDq1av56aefePHFF2nTpg3Hjx+/H49LRERERERE5IExZWdnZxd1ECIi8vgIDAwkJSWFgwcPGtdMJhNffPEFnTt3JiEhgUqVKhEREcGYMWMAuHbtGpUqVWLIkCGMHj2a8ePHs27dOuLj4zGZTAB88MEHjBkzhuTkZCwsLAgMDCQzM5Ndu3YZ8zRu3JiWLVsSERGRa2z/+c9/GDRoEH///TdwvYZwaGio2QvsEhMTqVy5MomJiZQtW9a43qpVKxo3bszUqVNzHTstLY20tDTjPCUlBU9PT5KTk3FwcCjkUxQRuT9UMsKcSkaIiIjI4yQlJQVHR8fb/h6qGsIiInLPNWjQ4LZt/P39jc/FihWjYcOGxMfHAxAfH4+/v7+RDAZo1qwZqamp/PHHH1SoUAGAOnXqmI3p4eHB2bNnjfPt27czbdo0fv31V1JSUrh27RpXr17lypUr2NjY5BrXzz//TGZmJtWqVTO7npaWhouLS57rmTZtGpMnT77tukVERERERESKkhLCIiJyz9na2j6QeYoXL252bjKZyMrKAiAhIYEOHTrw+uuv88477+Ds7ExMTAz9+/cnPT09z4RwamoqlpaWHDhwAEtLS7N7dnZ2ecYybtw4RowYYZzf2CEsIiIiIiIi8jBRQlhERIrE7t27efrpp4HrJSMOHDhASEgIAL6+vqxbt47s7Gxjl3BsbCz29vaUL1++QOMfOHCArKwsIiMjsbC4XjJ/7dq1Zm2srKzIzMw0u+bn50dmZiZnz56lefPmBV6PtbU11tbWBW4vIiIiIiIiUhSUEBYRkSLx/vvv4+3tja+vL7NmzeLChQv069cPgMGDBzN79myGDBlCSEgIR48e5a233mLEiBFGcvd2qlatSkZGBvPmzaNjx465vuDOy8uL1NRUduzYQd26dbGxsaFatWr07NmT3r17ExkZiZ+fH3/99Rc7duygTp06tG+vepMi8uhSzVwRERERKdhv1SIiIvdYREQEERER1K1bl5iYGDZs2ICrqysA5cqV4+uvv2bv3r3UrVuXQYMG0b9/f958880Cj1+3bl1mzpzJu+++S61atVi1ahXTpk0zaxMQEMCgQYN46aWXcHNz47333gNg2bJl9O7dm5EjR+Lj40Pnzp3Zt2+fUbtYRERERERE5FFlys7Ozi7qIERERB43BX27q4iIiIiIiMi9UNDfQ7VDWEREREREREREROQJoYSwiIiIiIiIiIiIyBNCCWEREXlkmEwm1q9fD0BCQgImk4m4uLg820dHR2Mymbh48eJdzRsVFYWTk9NdjSEiIiIiIiLyMFBCWEREHhlJSUm0bdu2wO0DAgJISkrC0dERUGJXREREREREpFhRByAiIlIQ6enpuLu7F6qPlZVVofuIiDzOvMZuKuoQikRCRPuiDkFERETkoaEdwiIi8lAKDAwkJCSE0NBQXF1dCQoKMisZccOvv/5KQEAAJUqUoFatWuzcudO4d3PJiOjoaPr27UtycjImkwmTycSkSZMAuHDhAr1796ZUqVLY2NjQtm1bjh8//gBXKyIiIiIiIvJgKCEsIiIPreXLl2NlZUVsbCwLFy7Mtc2oUaMYOXIkP/74I/7+/nTs2JFz587laBcQEMDs2bNxcHAgKSmJpKQkwsLCAAgODmb//v1s2LCBH374gezsbNq1a0dGRsZ9XZ+IiIiIiIjIg6aSESIi8tDy9vbmvffey7dNSEgIXbt2BWDBggVs2bKFpUuXMnr0aLN2VlZWODo6YjKZzMpIHD9+nA0bNhAbG0tAQAAAq1atwtPTk/Xr1/Piiy8WKNa0tDTS0tKM85SUlAL1ExEREREREXmQtENYREQeWg0aNLhtG39/f+NzsWLFaNiwIfHx8QWeIz4+nmLFitGkSRPjmouLCz4+PoUaZ9q0aTg6OhqHp6dngfuKiIiIiIiIPChKCIuIyEPL1ta2qEMosHHjxpGcnGwcp06dKuqQRERERERERHJQQlhERB5pu3fvNj5fu3aNAwcO4Ovrm2tbKysrMjMzza75+vpy7do19uzZY1w7d+4cR48epUaNGgWOw9raGgcHB7NDRERERERE5GGjGsIiIvJIe//99/H29sbX15dZs2Zx4cIF+vXrl2tbLy8vUlNT2bFjB3Xr1sXGxgZvb286derEwIEDWbRoEfb29owdO5Zy5crRqVOnB7waEZH7KyGifVGHICIiIiJFTDuERUTkkRYREUFERAR169YlJiaGDRs24OrqmmvbgIAABg0axEsvvYSbm5vxwrply5bRoEEDOnTogL+/P9nZ2Xz99dcUL178QS5FRERERERE5L4zZWdnZxd1ECIiIo+blJQUHB0dSU5OVvkIERERERERue8K+nuodgiLiIiIiIiIiIiIPCGUEBYRERERERERERF5QighLCIiIiIiIiIiIvKEUEJYRESeWNHR0ZhMJi5evFjUoYiIiIiIiIg8EMWKOgAREZGbpaenY2VlVdRhiIg8lrzGbirqEJ4YCRHtizoEERERkVxph7CIiNyVwMBAQkJCCAkJwdHREVdXVyZMmEB2djbh4eHUqlUrR5969eoxYcIEAIKDg+ncuTPvvPMOZcuWxcfHBwCTycT69evN+jk5OREVFQVAQEAAY8aMMbv/119/Ubx4cb777jsAVq5cScOGDbG3t8fd3Z0ePXpw9uxZABISEnjmmWcAKFWqFCaTieDgYACysrKYNm0alSpVomTJktStW5f//Oc/9+R5iYiIiIiIiBQlJYRFROSuLV++nGLFirF3717mzJnDzJkzWbJkCf369SM+Pp59+/YZbX/88Ud++ukn+vbta1zbsWMHR48eZdu2bWzcuLFAc/bs2ZPVq1eTnZ1tXFuzZg1ly5alefPmAGRkZDBlyhQOHTrE+vXrSUhIMJK+np6erFu3DoCjR4+SlJTEnDlzAJg2bRorVqxg4cKF/PLLLwwfPpxXXnmFnTt35hlPWloaKSkpZoeIiIiIiIjIw0YlI0RE5K55enoya9YsTCYTPj4+/Pzzz8yaNYuBAwcSFBTEsmXLaNSoEQDLli2jRYsWVK5c2ehva2vLkiVLClUqolu3boSGhhITE2MkgD/55BO6d++OyWQCoF+/fkb7ypUrM3fuXBo1akRqaip2dnY4OzsDULp0aZycnIDrid2pU6eyfft2/P39jb4xMTEsWrSIFi1a5BrPtGnTmDx5coHjFxERERERESkK2iEsIiJ3rWnTpkYSFsDf35/jx4+TmZnJwIED+fTTT7l69Srp6el88sknZolagNq1axe6brCbmxvPPfccq1atAuC3337jhx9+oGfPnkabAwcO0LFjRypUqIC9vb2RzE1MTMxz3BMnTnDlyhVat26NnZ2dcaxYsYKTJ0/m2W/cuHEkJycbx6lTpwq1HhEREREREZEHQTuERUTkvurYsSPW1tZ88cUXWFlZkZGRwQsvvGDWxtbWNkc/k8lkVg4CrpeAuFnPnj0ZOnQo8+bN45NPPqF27drUrl0bgMuXLxMUFERQUBCrVq3Czc2NxMREgoKCSE9PzzPe1NRUADZt2kS5cuXM7llbW+fZz9raOt/7IiIiIiIiIg8DJYRFROSu7dmzx+x89+7deHt7Y2lpCUCfPn1YtmwZVlZWvPzyy5QsWfK2Y7q5uZGUlGScHz9+nCtXrpi16dSpE6+++ipbtmzhk08+oXfv3sa9X3/9lXPnzhEREYGnpycA+/fvN+t/Y1dyZmamca1GjRpYW1uTmJiYZ3kIERERERERkUeVEsIiInLXEhMTGTFiBK+99hoHDx5k3rx5REZGGvcHDBiAr68vALGxsQUas2XLlsyfPx9/f38yMzMZM2YMxYsXN2tja2tL586dmTBhAvHx8XTv3t24V6FCBaysrJg3bx6DBg3i8OHDTJkyxax/xYoVMZlMbNy4kXbt2lGyZEns7e0JCwtj+PDhZGVl8dRTT5GcnExsbCwODg706dPnTh+TiEiRS4hoX9QhiIiIiEgRUw1hERG5a7179+aff/6hcePGvPHGGwwbNoxXX33VuO/t7U1AQADVq1enSZMmBRozMjIST09PmjdvTo8ePQgLC8PGxiZHu549e3Lo0CGaN29OhQoVjOtubm5ERUXx2WefUaNGDSIiIpgxY4ZZ33LlyjF58mTGjh1LmTJlCAkJAWDKlClMmDCBadOm4evrS5s2bdi0aROVKlW6k8cjIiIiIiIi8tAwZd9aoFFERKQQAgMDqVevHrNnz86zTXZ2Nt7e3gwePJgRI0Y8uOCKUEpKCo6OjiQnJ+Pg4FDU4YiIiIiIiMhjrqC/h6pkhIiI3Fd//fUXq1ev5syZM/Tt27eowxERERERERF5oikhLCIi91Xp0qVxdXXlww8/pFSpUkUdjoiIiIiIiMgTTQlhEZHHgMlk4osvvqBz584PfO7o6Oh879+rykTR0dE888wzXLhwAScnp3sypoiIiIiIiMiTRi+VE5EnTnBwMCaTiYiICLPr69evx2QyFVFU1wUGBhIaGlqkMTysAgICSEpKwtHR8Z6OazKZWL9+/T0dU0RERERERORhpR3CIvJEKlGiBO+++y6vvfaayhjcQxkZGRQvXvy+jG1lZYW7u/t9GVtEHm9eYzcVdQgPjYSI9kUdgoiIiIgUMe0QFpEnUqtWrXB3d2fatGkF7nPy5Ek6depEmTJlsLOzo1GjRmzfvt2sTVpaGmPGjMHT0xNra2uqVq3K0qVLjfuHDx+mbdu22NnZUaZMGXr16sXff/8NXN+5vHPnTubMmYPJZMJkMvHbb79RtWpVZsyYYTZPXFwcJpOJEydO5IgzISEBk8nE559/zjPPPIONjQ1169blhx9+MGsXExND8+bNKVmyJJ6engwdOpTLly8b93PbOevk5ERUVJTZPGvWrKFFixaUKFGCVatWce7cObp37065cuWwsbGhdu3afPrpp2bjBAYGMmTIEEJDQylVqhRlypRh8eLFXL58mb59+2Jvb0/VqlXZvHmz0Sc6OhqTycTFixcBiIqKwsnJia1bt+Lr64udnR1t2rQhKSnJ6LNv3z5at26Nq6srjo6OtGjRgoMHDxr3vby8AOjSpQsmk8k4B/jyyy+pX78+JUqUoHLlykyePJlr167leN4iIiIiIiIijxIlhEXkiWRpacnUqVOZN28ef/zxR4H6pKam0q5dO3bs2MGPP/5ImzZt6NixI4mJiUab3r178+mnnzJ37lzi4+NZtGgRdnZ2AFy8eJGWLVvi5+fH/v372bJlC3/++SfdunUDYM6cOfj7+zNw4ECSkpJISkqiQoUK9OvXj2XLlpnFsmzZMp5++mmqVq2aZ7zjx48nLCyMuLg4qlWrRvfu3Y2E5smTJ2nTpg1du3blp59+Ys2aNcTExBASElKo5wgwduxYhg0bRnx8PEFBQVy9epUGDRqwadMmDh8+zKuvvkqvXr3Yu3evWb/ly5fj6urK3r17GTJkCK+//jovvvgiAQEBHDx4kOeee45evXpx5cqVPOe+cuUKM2bMYOXKlXz33XckJiYSFhZm3L906RJ9+vQhJiaG3bt34+3tTbt27bh06RJwPWF843kmJSUZ57t27aJ3794MGzaMI0eOsGjRIqKionjnnXfyjCUtLY2UlBSzQ0RERERERORhY8q+V2/7ERF5RAQHB3Px4kXWr1+Pv78/NWrUYOnSpaxfv54uXboU6iVotWrVYtCgQYSEhHDs2DF8fHzYtm0brVq1ytH27bffZteuXWzdutW49scff+Dp6cnRo0epVq0agYGB1KtXj9mzZxtt/ve//1GhQgW+//57GjduTEZGBmXLlmXGjBn06dMHMH+pXEJCApUqVWLJkiX0798fgCNHjlCzZk3i4+OpXr06AwYMwNLSkkWLFhnzxMTE0KJFCy5fvkyJEiVyfVGdk5MTs2fPJjg42Jhn9uzZDBs2LN/n1KFDB6pXr27sdA4MDCQzM5Ndu3YBkJmZiaOjI88//zwrVqwA4MyZM3h4ePDDDz/QtGnTHC+Vi4qKom/fvpw4cYIqVaoA8MEHHxAeHs6ZM2dyjSMrKwsnJyc++eQTOnTokOPZ3dCqVSueffZZxo0bZ1z7+OOPGT16NP/73/9yHXvSpElMnjw5x/Xk5GQcHBzyfT4icn+pZMT/UckIERERkcdXSkoKjo6Ot/09VDuEReSJ9u6777J8+XLi4+PNrtvZ2RnHoEGDgOs7hMPCwvD19cXJyQk7Ozvi4+ONHcJxcXFYWlrSokWLXOc6dOgQ3377rdnY1atXB67v2M1L2bJlad++PR999BEAX331FWlpabz44ov5rq1OnTrGZw8PDwDOnj1rxBIVFWUWS1BQEFlZWfz222/5jnurhg0bmp1nZmYyZcoUateujbOzM3Z2dmzdutVsJ/Wt8VlaWuLi4kLt2rWNa2XKlDGLOTc2NjZGMvjGOm9u/+effzJw4EC8vb1xdHTEwcGB1NTUHLHc6tChQ4SHh5s9nxs7t/PasTxu3DiSk5ON49SpU/nOISIiIiIiIlIU9FI5EXmiPf300wQFBTFu3DiCg4ON63FxccbnG/+qFhYWxrZt25gxYwZVq1alZMmSvPDCC6SnpwNQsmTJfOdKTU2lY8eOvPvuuznu3UjY5mXAgAH06tWLWbNmsWzZMl566SVsbGzy7XPzy91MJhNwfYfsjVhee+01hg4dmqNfhQoVjD637pbOyMjI0d7W1tbsfPr06cyZM4fZs2dTu3ZtbG1tCQ0NNZ5TbvHdmC+/mG+3xtxi7tOnD+fOnWPOnDlUrFgRa2tr/P39c8Ryq9TUVCZPnszzzz+f416JEiVy7WNtbY21tXW+44qIiIiIiIgUNSWEReSJFxERQb169fDx8TGu5VabNzY2luDgYLp06QJcTxomJCQY92vXrk1WVhY7d+7MtWRE/fr1WbduHV5eXhQrlvsfv1ZWVmRmZua43q5dO2xtbVmwYAFbtmzhu+++K+wyc8Ry5MiRfGsQu7m5mb2g7fjx4/nW870hNjaWTp068corrwDXE7rHjh2jRo0adxXznYiNjeWDDz6gXbt2AJw6dcp4id8NxYsXz/HM69evz9GjR/N9PiIiIiIiIiKPIiWEReSJV7t2bXr27MncuXPzbeft7c3nn39Ox44dMZlMTJgwwWz3qpeXF3369KFfv37MnTuXunXr8vvvv3P27Fm6devGG2+8weLFi+nevTujR4/G2dmZEydOsHr1apYsWYKlpSVeXl7s2bOHhIQE7OzscHZ2xsLCAktLS4KDgxk3bhze3t74+/vf1ZrHjBlD06ZNCQkJYcCAAdja2nLkyBG2bdvG/PnzAWjZsiXz58/H39+fzMxMxowZk2NHbl7P6T//+Q/ff/89pUqVYubMmfz5559FkhD29vZm5cqVNGzYkJSUFEaNGpVjJ7eXlxc7duygWbNmWFtbU6pUKSZOnEiHDh2oUKECL7zwAhYWFhw6dIjDhw/z9ttvP/B1iMjdUd1cEREREZH/oxrCIiJAeHh4vqUJAGbOnEmpUqUICAigY8eOBAUFUb9+fbM2CxYs4IUXXmDw4MFUr16dgQMHcvnyZeB6LeDY2FgyMzN57rnnqF27NqGhoTg5OWFhcf2P47CwMCwtLalRowZubm5mtW779+9Peno6ffv2vev11qlTh507d3Ls2DGaN2+On58fEydOpGzZskabyMhIPD09ad68OT169CAsLOy2ZSoA3nzzTerXr09QUBCBgYG4u7ubvbDtQVq6dCkXLlygfv369OrVi6FDh1K6dGmzNpGRkWzbtg1PT0/8/PwACAoKYuPGjXzzzTc0atSIpk2bMmvWLCpWrFgUyxARERERERG5Z0zZtxaIFBGRh9KuXbt49tlnOXXqlPHCNXl4FfTtriIiIiIiIiL3QkF/D1XJCBGRh1xaWhp//fUXkyZN4sUXX1QyWERERERE/j97dx+fY/3/f/xxGpvZuQtmZhib2Jqaiw2ZhWE1uaaQjw/mujRaWlgxRmXK1Ug+UW3jo6gUPrlKZdKIudhK1rCsqSblYmtTw3b+/vBzfDuzsQqjnvfb7bjddryP9/t9vI7jPMbtfHl7HSIif5pKRoiI3OLefPNNGjRowNmzZ3nhhRcqOhwRERERERERuY0pISwiFcJkMrF27dpy909OTsZkMnH27NkbFtOtoLTrDA8Pp7i4mH379lG3bt0/PGdiYiIuLi7XL8jbwB99vkRERERERET+KZQQFrnFhYeHYzKZiIuLs2pfu3YtJpOpgqL6PyEhIURGRlZ0GH8bbdu2JTc3F2dn54oO5baWm5vLAw88UNFhiIiIiIiIiNxyVENY5DZQtWpVZs+ezZgxY6hevXpFhyM3kK2tLbVr167oMG46i8VCcXExlStfn7+W/on3UEQEwGvyhqsez47rdpMiEREREZFblVYIi9wGQkNDqV27NrNmzfpD47KysujVqxfu7u6YzWZatWrFhx9+aNWnqKiISZMm4enpiZ2dHY0aNeK1114zjh88eJAHHngAs9mMu7s7gwcP5qeffgIurV7evn078fHxmEwmTCYTx44do1GjRsyZM8fqPGlpaZhMJo4ePVpqrDt37qR58+ZUrVqVli1bGiug09LSSu0/ffp0mjdvbtW2YMECvLy8rNpef/117rrrLuzs7PDw8CAiIsI4lpOTQ69evTCbzTg5OdG/f39++OEH43h6ejodO3bE0dERJycnAgMD2bt3LwCnTp1i4MCB1K1bl2rVquHv78+bb75pde6QkBDGjRtHZGQk1atXx93dnWXLllFYWMiwYcNwdHSkUaNGbNq0yRjz+5IRl8s9bNmyBT8/P8xmM126dCE3NxeATz75hCpVqnDixAmrc0dGRtKuXbtS7115nouXX36Zxo0bU7VqVdzd3XnooYesrisiIoKIiAicnZ2pWbMmU6dOxWKxGH1WrFhBy5YtcXR0pHbt2vzrX//i5MmTV1znpk2bCAwMxM7Ojk8//bRcseXm5tKtWzfs7e3x9vbmjTfewMvLiwULFhh9flsyIjs7G5PJxLvvvkvHjh2pVq0azZo1Y9euXVbzfvrpp7Rr1w57e3s8PT0ZP348hYWFpd5DERERERERkduVEsIitwEbGxuef/55Fi1axLffflvucQUFBXTt2pWPPvqIAwcO0KVLF3r06EFOTo7RZ8iQIbz55pssXLiQjIwMXnnlFcxmMwBnz56lU6dOtGjRgr1797J582Z++OEH+vfvD0B8fDxBQUGMGjWK3NxccnNzqV+/PsOHDychIcEqloSEBNq3b0+jRo2uiDM/P58ePXrg7+/P/v37mTlzJpMmTfozt8rKkiVLeOyxxxg9ejRffPEF69evN85fUlJCr169OH36NNu3b2fr1q18/fXXDBgwwBg/aNAg6tWrR2pqKvv27WPy5MlUqVIFgF9//ZXAwEA2bNjAwYMHGT16NIMHD2bPnj1WMSQlJVGzZk327NnDuHHjePTRR+nXrx9t27Zl//793H///QwePJhz586VeR3nzp1jzpw5rFixgk8++YScnByioqIAaN++PQ0bNmTFihVG/wsXLrBy5UqGDx9e6nzXei727t3L+PHjmTFjBpmZmWzevJn27dtfcV2VK1dmz549xMfHM2/ePF599VWrGGbOnEl6ejpr164lOzub8PDwK2KZPHkycXFxZGRk0LRp03I/s99//z3JycmsWbOGpUuXWiWby/LMM88QFRVFWloaPj4+DBw4kIsXLwKXkuRdunThwQcf5PPPP2f16tV8+umnVv+AcC1FRUXk5+dbbSIiIiIiIiK3HIuI3NKGDh1q6dWrl8VisVjatGljGT58uMVisVjee+89y5/5Fb7rrrssixYtslgsFktmZqYFsGzdurXUvjNnzrTcf//9Vm3Hjx+3AJbMzEyLxWKxdOjQwfL4449b9fnuu+8sNjY2lt27d1ssFovl/Pnzlpo1a1oSExONPoDlvffes1gsFsuSJUssrq6ull9++cU4vmzZMgtgOXDggMVisVi2bdtmASxnzpyxWCwWy7Rp0yzNmjWzOu/8+fMtDRo0MPbr1KljeeaZZ0q9tg8++MBiY2NjycnJMdq+/PJLC2DZs2ePxWKxWBwdHa1ivpZu3bpZnnzySWO/Q4cOlnvvvdfYv3jxosXBwcEyePBgoy03N9cCWHbt2lXqdSYkJFgAy9GjR40xixcvtri7uxv7s2fPtvj5+Rn7a9assZjNZktBQYExh7Oz81Vj/+1zsWbNGouTk5MlPz+/1L4dOnSw+Pn5WUpKSoy2SZMmWcXwe6mpqRbA8vPPP1td59q1a68a1+9jy8jIsACW1NRU4/iRI0csgGX+/PlG22+fr2PHjlkAy6uvvmocv/xZZ2RkWCwWi2XEiBGW0aNHW513x44dlkqVKlk9l1czbdo0C3DFlpeXV67xIiLXQ4NJ7191ExEREZG/r7y8vHJ9D9UKYZHbyOzZs0lKSiIjI+OKY2az2dgeeeQR4NJK0KioKPz8/HBxccFsNpORkWGstkxLS8PGxoYOHTqUer709HS2bdtmNfedd94JXFpRWZY6derQrVs3Xn/9dQD+97//UVRURL9+/Urtn5mZSdOmTalatarR1rp163LckbKdPHmS77//ns6dO5d6PCMjA09PTzw9PY22Jk2a4OLiYtzfCRMmMHLkSEJDQ4mLi7O65uLiYmbOnIm/vz81atTAbDazZcsWq5WsAE2bNjV+trGxwdXVFX9/f6PN3d3diLcs1apV44477jD2PTw8rPqHh4dz9OhRPvvsM+BSmYn+/fvj4OBQ6nzXei7uu+8+GjRoQMOGDRk8eDArV668YgVzmzZtrF5qGBQUxJEjRyguLgZg37599OjRg/r16+Po6Gg8Y7+/Py1btvxDsWVmZlK5cmUCAgKMMY0aNSpXbe3ffhYeHh7A/9339PR0EhMTrZ71sLAwSkpKOHbs2DXnBoiOjiYvL8/Yjh8/Xq5xIiIiIiIiIjeTXionchtp3749YWFhREdHX/Hf739ba9fJyQmAqKgotm7dypw5c2jUqBH29vY89NBDnD9/HgB7e/urnq+goIAePXowe/bsK45dTqiVZeTIkQwePJj58+eTkJDAgAEDqFatWjmusnwqVapkVbMWLpUpuOxa11Ye06dP51//+hcbNmxg06ZNTJs2jVWrVtGnTx9efPFF4uPjWbBgAf7+/jg4OBAZGWnc28sul5i4zGQyWbVdTqqWlJSUGUdpc/z22mvVqkWPHj1ISEjA29ubTZs2kZycXOZ813ouHB0d2b9/P8nJyXzwwQfExMQwffp0UlNTcXFxueo9AygsLCQsLIywsDBWrlyJm5sbOTk5hIWFXXF/fp+0vlZsf8XV7ntBQQFjxoxh/PjxV4yrX79+uea3s7PDzs7uL8cpIiIiIiIiciMpISxym4mLi6N58+b4+vpatZdWmzclJYXw8HD69OkDXEp6ZWdnG8f9/f0pKSlh+/bthIaGXjE+ICCANWvW4OXlReXKpf9xYWtra6wK/a2uXbvi4ODAkiVL2Lx5M5988kmZ1+Tr68t///tfioqKjIRaampqmf0B3NzcOHHiBBaLxUju/TYp7ujoiJeXFx999BEdO3a8Yryfnx/Hjx/n+PHjxirhQ4cOcfbsWZo0aWL08/HxwcfHhyeeeIKBAweSkJBAnz59SElJoVevXvz73/8GLiUWDx8+bDX2Zho5ciQDBw6kXr163HHHHQQHB5fZ91rPBUDlypUJDQ0lNDSUadOm4eLiwscff0zfvn0B2L17t1X/zz77jMaNG2NjY8NXX33FqVOniIuLM+7t5ZfxXcu1YvP19eXixYscOHCAwMBAAI4ePcqZM2fKNX9ZAgICOHToUKm/RyIiIiIiIiJ/JyoZIXKb8ff3Z9CgQSxcuPCafRs3bsy7775LWloa6enp/Otf/7Jaierl5cXQoUMZPnw4a9eu5dixYyQnJ/PWW28B8Nhjj3H69GkGDhxIamoqWVlZbNmyhWHDhhlJYC8vL3bv3k12djY//fSTMb+NjQ3h4eFER0fTuHFjgoKCyozzclyjR48mIyODLVu2MGfOHACrsgS/FRISwo8//sgLL7xAVlYWixcvZtOmTVZ9pk+fzty5c1m4cCFHjhxh//79LFq0CIDQ0FDjXu7fv589e/YwZMgQOnToQMuWLfnll1+IiIggOTmZb775hpSUFFJTU/Hz8zPu7datW9m5cycZGRmMGTOGH3744ZqfyY0SFhaGk5MTzz77LMOGDbtq32s9F++//z4LFy4kLS2Nb775huXLl1NSUmL1jxA5OTlMmDCBzMxM3nzzTRYtWsTjjz8OXFpRa2try6JFi/j6669Zv349M2fOLNd1XCu2O++8k9DQUEaPHs2ePXs4cOAAo0ePxt7evsxnpTwmTZrEzp07iYiIIC0tjSNHjrBu3bo/9FI5EZFbQXZct6tuIiIiIiJKCIvchmbMmHHVEgOXzZs3j+rVq9O2bVt69OhBWFiYVe1VgCVLlvDQQw8xduxY7rzzTkaNGkVhYSFwqRZwSkoKxcXF3H///fj7+xMZGYmLiwuVKl364yMqKgobGxuaNGlilAa4bMSIEZw/f/6aCUonJyf+97//kZaWRvPmzXnmmWeIiYkBsKor/Ft+fn68/PLLLF68mGbNmrFnzx6ioqKs+gwdOpQFCxbw8ssvc9ddd9G9e3eOHDkCXEo0r1u3jurVq9O+fXtCQ0Np2LAhq1evBi4ltE+dOsWQIUPw8fGhf//+PPDAA8TGxgIwZcoUAgICCAsLIyQkhNq1a9O7d+9rfiY3SqVKlQgPD6e4uJghQ4Zcte+1ngsXFxfeffddOnXqhJ+fH//5z3948803ueuuu4w+Q4YM4ZdffqF169Y89thjPP7444wePRq4tHo7MTGRt99+myZNmhAXF2ck+K+lPM/s8uXLcXd3p3379vTp04dRo0bh6OhY5rNSHk2bNmX79u0cPnyYdu3a0aJFC2JiYqhTp86fnlNERERERETkVmSy/L4Ip4jIdbJjxw46d+7M8ePHjZenldfKlSsZNmwYeXl516Ue8D/BiBEj+PHHH1m/fv0NPU9ISAjNmzdnwYIFN/Q85fXtt9/i6enJhx9+WOZLBCtCfn4+zs7O5OXlGXW9RURERERERG6U8n4PVQ1hEbnuioqK+PHHH5k+fTr9+vUrVzJ4+fLlNGzYkLp165Kens6kSZPo37+/ksHlkJeXxxdffMEbb7xxw5PBt4KPP/6YgoIC/P39yc3NZeLEiXh5edG+ffuKDk1ERERERETklqeEsIhcd2+++SYjRoygefPmLF++vFxjTpw4QUxMDCdOnMDDw4N+/frx3HPP3eBI/x569erFnj17eOSRR7jvvvsqOpwb7sKFCzz99NN8/fXXODo60rZtW1auXEmVKlUqOjQRERERERGRW55KRoj8SSaTiffee6/cdWOTk5Pp2LEjZ86cwcXF5YbGVpH+Kdd5o9yIcgyJiYlERkZy9uzZ6zbn7eSP/q5eLyoZISIiIiIiIjdTeb+H6qVyclOEh4djMpmIi4uzal+7di0mk6mCorokJCSEyMjICo3h76Rt27bk5ubi7Ox83ef+5ZdfcHBw4OjRoyQmJmIymejSpYtVn7Nnz2IymUhOTr7u5/8jpk+fTvPmzSs0hhslOTkZk8l02ySYc3NzeeCBByo6DBEREREREZFbgkpGyE1TtWpVZs+ezZgxY6hevXpFhyM3iK2tLbVr174hc2/dupUGDRrQqFEjPv30UypXrsyHH37Itm3b6Nix4w05p9z+btTzKCJyO/KavKGiQ/jTsuO6VXQIIiIiIn8LWiEsN01oaCi1a9dm1qxZ5R6TlZVFr169cHd3x2w206pVKz788EOrPkVFRUyaNAlPT0/s7Oxo1KgRr732mnH84MGDPPDAA5jNZtzd3Rk8eDA//fQTcGnl8vbt24mPj8dkMmEymTh27BiNGjVizpw5VudJS0vDZDJx9OjRUmPduXMnzZs3p2rVqrRs2dJY/ZyWllZq/9JWkC5YsAAvLy+rttdff5277roLOzs7PDw8iIiIMI7l5OTQq1cvzGYzTk5O9O/fnx9++ME4np6eTseOHXF0dMTJyYnAwED27t0LwKlTpxg4cCB169alWrVq+Pv78+abb1qdOyQkhHHjxhEZGUn16tVxd3dn2bJlFBYWMmzYMBwdHWnUqBGbNm0yxvx+9WhiYiIuLi5s2bIFPz8/zGYzXbp0ITc31+pcr776Kn5+flStWpU777yTl19++Yp7tm7dOnr27GnsOzg4MHz4cCZPnlzqPS5LcXExI0aMwNvbG3t7e3x9fYmPj7+i39Xu/dmzZxk5ciRubm44OTnRqVMn0tPTjWuOjY0lPT3deK4SExMZPnw43bt3tzrHhQsXqFWrltUz+1u5ubl069YNe3t7vL29eeONN/Dy8rIqKTFv3jz8/f1xcHDA09OTsWPHUlBQUOb1/5Xfq+zsbCP5Xr16dUwmE+Hh4caY8ePHU6tWLapWrcq9995LamqqMeeZM2cYNGgQbm5u2Nvb07hxYxISEozjkyZNwsfHh2rVqtGwYUOmTp3KhQsXjOOXf2def/116tevj9lsZuzYsRQXF/PCCy9Qu3ZtatWqdUXtaZPJxNq1awHIzs7GZDLx7rvv0rFjR6pVq0azZs3YtWuX1ZhPP/2Udu3aYW9vj6enJ+PHj6ewsLDMeyoiIiIiIiJyu1BCWG4aGxsbnn/+eRYtWsS3335brjEFBQV07dqVjz76iAMHDtClSxd69OhBTk6O0WfIkCG8+eabLFy4kIyMDF555RXMZjNwKWnXqVMnWrRowd69e9m8eTM//PAD/fv3ByA+Pp6goCBGjRpFbm4uubm51K9fn+HDh1slqgASEhJo3749jRo1uiLO/Px8evTogb+/P/v372fmzJlMmjTpz94qw5IlS3jssccYPXo0X3zxBevXrzfOX1JSQq9evTh9+jTbt29n69atfP311wwYMMAYP2jQIOrVq0dqair79u1j8uTJxou3fv31VwIDA9mwYQMHDx5k9OjRDB48mD179ljFkJSURM2aNdmzZw/jxo3j0UcfpV+/frRt25b9+/dz//33M3jwYM6dO1fmdZw7d445c+awYsUKPvnkE3JycoiKijKOr1y5kpiYGJ577jkyMjJ4/vnnmTp1KklJSUafkpIS3n//fXr16mU19/Tp0/niiy945513yn1fS0pKqFevHm+//TaHDh0iJiaGp59+mrfeeqtc9x6gX79+nDx5kk2bNrFv3z4CAgLo3Lkzp0+fZsCAATz55JPcddddxnM1YMAARo4cyebNm62S4e+//z7nzp2z+tx+a8iQIXz//fckJyezZs0ali5dysmTJ636VKpUiYULF/Lll1+SlJTExx9/zMSJE8u8/r/ye+Xp6cmaNWsAyMzMJDc310imT5w4kTVr1pCUlMT+/ftp1KgRYWFhnD59GoCpU6dy6NAhNm3aREZGBkuWLKFmzZrGOR0dHUlMTOTQoUPEx8ezbNky5s+fbxV7VlYWmzZtYvPmzbz55pu89tprdOvWjW+//Zbt27cze/ZspkyZwu7du8u8foBnnnmGqKgo0tLS8PHxYeDAgVy8eNE4R5cuXXjwwQf5/PPPWb16NZ9++qnVPwiUpqioiPz8fKtNRERERERE5JZjEbkJhg4daunVq5fFYrFY2rRpYxk+fLjFYrFY3nvvPcsffQzvuusuy6JFiywWi8WSmZlpASxbt24tte/MmTMt999/v1Xb8ePHLYAlMzPTYrFYLB06dLA8/vjjVn2+++47i42NjWX37t0Wi8ViOX/+vKVmzZqWxMREow9gee+99ywWi8WyZMkSi6urq+WXX34xji9btswCWA4cOGCxWCyWbdu2WQDLmTNnLBaLxTJt2jRLs2bNrM47f/58S4MGDYz9OnXqWJ555plSr+2DDz6w2NjYWHJycoy2L7/80gJY9uzZY7FYLBZHR0ermK+lW7dulieffNLY79Chg+Xee+819i9evGhxcHCwDB482GjLzc21AJZdu3aVep0JCQkWwHL06FFjzOLFiy3u7u7G/h133GF54403rGKZOXOmJSgoyNhPSUmx1KpVy1JcXGzM6+zsbLFYLJbJkydbfHx8LBcuXLCcOXPGAli2bdtW7uu2WCyWxx57zPLggw8a+1e79zt27LA4OTlZfv31V6v2O+64w/LKK69YLJbSP1+LxWJp0qSJZfbs2cZ+jx49LOHh4cb+b5/HjIwMC2BJTU01jh85csQCWObPn1/mtbz99tsWV1dXY/+396osf+T36vefscVisRQUFFiqVKliWblypdF2/vx5S506dSwvvPCCca3Dhg27ahy/9eKLL1oCAwON/WnTplmqVatmyc/PN9rCwsIsXl5exnNhsVgsvr6+llmzZhn7v/1dPXbsmAWwvPrqq8bxy783GRkZFovFYhkxYoRl9OjRVrHs2LHDUqlSJavf8d+bNm2aBbhiy8vLK/c1i4jcaA0mvX/bbiIiIiJydXl5eeX6HqoVwnLTzZ49m6SkJDIyMqzazWazsT3yyCPApZWMUVFR+Pn54eLigtlsJiMjw1jJmJaWho2NDR06dCj1XOnp6Wzbts1q7jvvvBO4tAqwLHXq1KFbt268/vrrAPzvf/+jqKiIfv36ldo/MzOTpk2bUrVqVaOtdevW5bwjpTt58iTff/89nTt3LvV4RkYGnp6eeHp6Gm1NmjTBxcXFuLcTJkxg5MiRhIaGEhcXZ3XNxcXFzJw5E39/f2rUqIHZbGbLli1Wq0QBmjZtavxsY2ODq6sr/v7+Rpu7u7sRb1mqVavGHXfcYex7eHgY/QsLC8nKymLEiBFWn9Ozzz5rFe+6devo3r07lSpd+cfWpEmT+PHHH43P67culwsxm83cddddRvvixYsJDAzEzc0Ns9nM0qVLjWu/1r1PT0+noKAAV1dXq5iPHTt21ecKYOTIkcbq8x9++IFNmzYxfPjwUvtmZmZSuXJlAgICjLZGjRpdUYP7ww8/pHPnztStWxdHR0cGDx7MqVOnyly1/Vd/r0qTlZXFhQsXCA4ONtqqVKlC69atjefx0UcfZdWqVTRv3pyJEyeyc+dOqzlWr15NcHAwtWvXxmw2M2XKlCueRy8vLxwdHY19d3d3mjRpYvVcuLu7X/V5BOvn2sPDA/i/Zzg9PZ3ExESrzzYsLIySkhKOHTtW5pzR0dHk5eUZ2/Hjx68ag4iIiIiIiEhF0Evl5KZr3749YWFhREdHG7VHAatau05OTgBERUWxdetW5syZQ6NGjbC3t+ehhx7i/PnzANjb21/1XAUFBfTo0YPZs2dfcexyEqgsI0eOZPDgwcyfP5+EhAQGDBhAtWrVynmV11apUiUsFotV22/rpV7r2spj+vTp/Otf/2LDhg1s2rSJadOmsWrVKvr06cOLL75IfHw8CxYsMOrPRkZGGvf2ssslJi4zmUxWbSaTCbhUhqEspc1x+dov17pdtmwZ99xzj1U/Gxsb4+f169cTFxdX6vwuLi5ER0cTGxt7RY3eV199lV9++cUqjlWrVhEVFcXcuXMJCgrC0dGRF1980SgzUJ7nysPDg+Tk5FJjuZohQ4YwefJkdu3axc6dO/H29qZdu3ZXHXM12dnZdO/enUcffZTnnnuOGjVq8OmnnzJixAjOnz9f6jP7V3+v/qwHHniAb775ho0bN7J161Y6d+7MY489xpw5c9i1axeDBg0iNjaWsLAwnJ2dWbVqFXPnzrWa41rP4+W2qz2Pv5/n989wQUEBY8aMYfz48VeMq1+/fplz2tnZYWdnd9XzioiIiIiIiFQ0JYSlQsTFxdG8eXN8fX2NttJq86akpBAeHk6fPn2AS4ma7Oxs47i/vz8lJSVs376d0NDQK8YHBASwZs0avLy8qFy59Mfd1taW4uLiK9q7du2Kg4MDS5YsYfPmzXzyySdlXo+vry///e9/KSoqMhJCv32ZVmnc3Nw4ceIEFovFSEj9Ninu6OiIl5cXH330kfESr9/y8/Pj+PHjHD9+3FglfOjQIc6ePUuTJk2Mfj4+Pvj4+PDEE08wcOBAEhIS6NOnDykpKfTq1Yt///vfwKVk2OHDh63G3gzu7u7UqVOHr7/+mkGDBpXa58iRI3zzzTfcd999Zc4zbtw4Fi5ceMXL4erWrXtF35SUFNq2bcvYsWONtt+u7L3WvQ8ICODEiRNUrlz5ipcAXlbWc+Xq6krv3r1JSEhg165dDBs2rMxr8vX15eLFixw4cIDAwEAAjh49ypkzZ4w++/bto6SkhLlz5xqrZH9bC7k0f/X3ytbWFsDq+u644w5sbW1JSUmhQYMGwKV/4EhNTSUyMtLo5+bmxtChQxk6dCjt2rXjqaeeYs6cOezcuZMGDRrwzDPPGH2/+eabq17HjRIQEMChQ4dK/TNJROR2lx3XraJDEBEREZEKppIRUiH8/f0ZNGgQCxcuvGq/xo0b8+6775KWlkZ6ejr/+te/rFb+eXl5MXToUIYPH87atWs5duwYycnJRkLsscce4/Tp0wwcOJDU1FSysrLYsmULw4YNM5JZXl5e7N69m+zsbH766SdjfhsbG8LDw4mOjqZx48YEBQWVGefluEaPHk1GRgZbtmxhzpw5wP+tPvy9kJAQfvzxR1544QWysrJYvHgxmzZtsuozffp05s6dy8KFCzly5Aj79+9n0aJFAISGhhr3cf/+/ezZs4chQ4bQoUMHWrZsyS+//EJERATJycl88803pKSkkJqaip+fn3Fvt27dys6dO8nIyGDMmDH88MMPV/08bpTY2FhmzZrFwoULOXz4MF988QUJCQnMmzcPuFQuIjQ09KortKtWrUpsbOw1nym4dO179+5ly5YtHD58mKlTp16RwL/WvQ8KCqJ379588MEHZGdns3PnTp555hn27t0LXHqujh07RlpaGj/99BNFRUXG3CNHjjTKpgwdOrTMOO+8805CQ0MZPXo0e/bs4cCBA4wePRp7e3vjuWrUqBEXLlxg0aJFfP3116xYsYL//Oc/17z+v/J71aBBA0wmE++//z4//vgjBQUFODg48Oijj/LUU0+xefNmDh06xKhRozh37hwjRowAICYmhnXr1nH06FG+/PJL3n//favnMScnh1WrVpGVlcXChQt57733rvlZ3giTJk1i586dREREkJaWxpEjR1i3bt01XyonIiIiIiIicjtQQlgqzIwZM67537rnzZtH9erVadu2LT169CAsLMyqnirAkiVLeOihhxg7dix33nkno0aNorCwELhUCzglJYXi4mLuv/9+/P39iYyMxMXFxVhNGRUVhY2NDU2aNMHNzc2qZunl/3Z/tVWccKnExf/+9z/S0tJo3rw5zzzzDDExMQBWdYV/y8/Pj5dffpnFixfTrFkz9uzZQ1RUlFWfoUOHsmDBAl5++WXuuusuunfvzpEjR4BLieZ169ZRvXp12rdvT2hoKA0bNmT16tXApYT2qVOnGDJkCD4+PvTv358HHniA2NhYAKZMmUJAQABhYWGEhIRQu3ZtevfufdXrvFFGjhzJq6++SkJCAv7+/nTo0IHExES8vb2BSwnhnj17XnOeoUOH0rBhw2v2GzNmDH379mXAgAHcc889nDp1ymq18OW5rnbvN27cSPv27Rk2bBg+Pj48/PDDfPPNN0ZN5QcffJAuXbrQsWNH3NzcePPNN425Q0ND8fDwICwsjDp16lw11uXLl+Pu7k779u3p06cPo0aNwtHR0XiumjVrxrx585g9ezZ33303K1euZNasWVed86/+XtWtW5fY2FgmT56Mu7u7kSiNi4vjwQcfZPDgwQQEBHD06FG2bNli1Dy2tbUlOjqapk2b0r59e2xsbFi1ahUAPXv25IknniAiIoLmzZuzc+dOpk6detXruFGaNm3K9u3bOXz4MO3ataNFixbExMRc87MSERERERERuR2YLL8vYioihh07dtC5c2eOHz9uJPrKa+XKlQwbNoy8vLwbVpP1n+Cnn37Cw8ODb7/99g9/BreqgoIC6tatS0JCAn379v1DY7/99ls8PT2NF8nJrSs/Px9nZ2fy8vKMuugiIiIiIiIiN0p5v4eqhrBIKYqKivjxxx+ZPn06/fr1K1cicvny5TRs2JC6deuSnp7OpEmT6N+/v5LBf9Hp06eZN2/e3yIZXFJSwk8//cTcuXNxcXEp16rnjz/+mIKCAvz9/cnNzWXixIl4eXnRvn37mxCxiIiIiIiIiPzdKCEsUoo333yTESNG0Lx5c5YvX16uMSdOnCAmJoYTJ07g4eFBv379eO65525wpH9/l1+K93eQk5ODt7c39erVIzExscwXHf7WhQsXePrpp/n6669xdHSkbdu2rFy5kipVqtyEiEVERERERETk70YlI0RERG4AlYwQERERERGRm0klI0REREREyslr8oaKDuGmyI7rVtEhiIiIiEgFq1TRAYiIyO0pJCSEcePGERkZSfXq1XF3d2fZsmUUFhYybNgwHB0dadSoEZs2bQKguLiYESNG4O3tjb29Pb6+vsTHx1vNGR4eTu/evZkzZw4eHh64urry2GOPceHCBaOPl5cXzz//PMOHD8fR0ZH69euzdOlSq3m++OILOnXqhL29Pa6urowePZqCggLjeHJyMq1bt8bBwQEXFxeCg4P55ptvjOPr1q0jICCAqlWr0rBhQ2JjY7l48eKNuI0iIiIiIiIiN5USwiIi8qclJSVRs2ZN9uzZw7hx43j00Ufp168fbdu2Zf/+/dx///0MHjyYc+fOUVJSQr169Xj77bc5dOgQMTExPP3007z11ltWc27bto2srCy2bdtGUlISiYmJJCYmWvWZO3cuLVu25MCBA4wdO5ZHH32UzMxMAAoLCwkLC6N69eqkpqby9ttv8+GHHxIREQHAxYsX6d27Nx06dODzzz9n165djB49GpPJBMCOHTsYMmQIjz/+OIcOHeKVV14hMTFRNcFFRERERETkb0E1hEVE5E8JCQmhuLiYHTt2AJdWADs7O9O3b1/jZYyXX7K4a9cu2rRpc8UcERERnDhxgnfeeQe4tEI4OTmZrKwsbGxsAOjfvz+VKlVi1apVwKUVwu3atWPFihUAWCwWateuTWxsLI888gjLli1j0qRJHD9+HAcHBwA2btxIjx49+P7776lSpQqurq4kJyfToUOHK2IKDQ2lc+fOREdHG23//e9/mThxIt9//32Z96OoqIiioiJjPz8/H09PT9UQFrlNqGSEiIiIiNzuyltDWCuERUTkT2vatKnxs42NDa6urvj7+xtt7u7uAJw8eRKAxYsXExgYiJubG2azmaVLl5KTk2M151133WUkgwE8PDyM8aWd12QyUbt2baNPRkYGzZo1M5LBAMHBwZSUlJCZmUmNGjUIDw8nLCyMHj16EB8fT25urtE3PT2dGTNmYDabjW3UqFHk5uZy7ty5Mu/FrFmzcHZ2NjZPT89r30ARERERERGRm0wJYRER+dOqVKlitW8ymazaLpdhKCkpYdWqVURFRTFixAg++OAD0tLSGDZsGOfPn7/mnCUlJX+4z9UkJCSwa9cu2rZty+rVq/Hx8eGzzz4DoKCggNjYWNLS0oztiy++4MiRI1StWrXMOaOjo8nLyzO248ePlzseERERERERkZulckUHICIi/wwpKSm0bduWsWPHGm1ZWVnX/Tx+fn4kJiZSWFhorBJOSUmhUqVK+Pr6Gv1atGhBixYtiI6OJigoiDfeeIM2bdoQEBBAZmYmjRo1+kPntbOzw87O7rpei4iIiIiIiMj1poSwiIjcFI0bN2b58uVs2bIFb29vVqxYQWpqKt7e3tf1PIMGDWLatGkMHTqU6dOn8+OPPzJu3DgGDx6Mu7s7x44dY+nSpfTs2ZM6deqQmZnJkSNHGDJkCAAxMTF0796d+vXr89BDD1GpUiXS09M5ePAgzz777HWNVURuHaqtKyIiIiL/FCoZISIiN8WYMWPo27cvAwYM4J577uHUqVNWq4Wvl2rVqrFlyxZOnz5Nq1ateOihh+jcuTMvvfSScfyrr77iwQcfxMfHh9GjR/PYY48xZswYAMLCwnj//ff54IMPaNWqFW3atGH+/Pk0aNDguscqIiIiIiIicrOZLBaLpaKDEBER+bsp79tdRURERERERK6H8n4P1QphERERERERERERkX8IJYRFRERERERERERE/iGUEBYRERERERERERH5h1BCWETkHyo7OxuTyURaWtpfmic5ORmTycTZs2evS1zllZiYiIuLy1X7TJ8+nebNm//lc4WHh9O7d++/PI+IiIiIiIhIRatc0QGIiEjF8PT0JDc3l5o1awKXErsdO3bkzJkz10y0lsf27dv597//zfHjx//yXH9WVFQU48aNM/bDw8M5e/Ysa9eurbCYREQqktfkDRUdQoXJjutW0SGIiIiI3BKUEBYR+YeysbGhdu3aN2z+devW0aNHjxsy94ULF8rVz2w2Yzabb0gMIiIiIiIiIrcjlYwQEbnBQkJCGDduHJGRkVSvXh13d3eWLVtGYWEhw4YNw9HRkUaNGrFp0yYAiouLGTFiBN7e3tjb2+Pr60t8fLzVnJdLGMyZMwcPDw9cXV157LHHrBKlXl5ePP/88wwfPhxHR0fq16/P0qVLjeO/LRmRnZ1Nx44dAahevTomk4nw8HAAioqKGD9+PLVq1aJq1arce++9pKamXvO6169fT8+ePQF455138Pf3x97eHldXV0JDQyksLASgpKSEGTNmUK9ePezs7GjevDmbN2++Is7Vq1fToUMHqlatysqVK43ja9eupXHjxlStWpWwsDCrFcm/LRkxffp0kpKSWLduHSaTCZPJRHJyMgBffPEFnTp1MuIbPXo0BQUF17xGERERERERkduNEsIiIjdBUlISNWvWZM+ePYwbN45HH32Ufv360bZtW/bv38/999/P4MGDOXfuHCUlJdSrV4+3336bQ4cOERMTw9NPP81bb71lNee2bdvIyspi27ZtJCUlkZiYSGJiolWfuXPn0rJlSw4cOMDYsWN59NFHyczMvCI+T09P1qxZA0BmZia5ublGEnrixImsWbOGpKQk9u/fT6NGjQgLC+P06dNlXu+XX37JyZMn6dSpE7m5uQwcOJDhw4eTkZFBcnIyffv2xWKxABAfH8/cuXOZM2cOn3/+OWFhYfTs2ZMjR45YzTl58mQef/xxMjIyCAsLA+DcuXM899xzLF++nJSUFM6ePcvDDz9cakxRUVH079+fLl26kJubS25uLm3btqWwsJCwsDCqV69Oamoqb7/9Nh9++CERERFX+USvVFRURH5+vtUmIiIiIiIicqtRQlhE5CZo1qwZU6ZMoXHjxkRHR1O1alVq1qzJqFGjaNy4MTExMZw6dYrPP/+cKlWqEBsbS8uWLfH29mbQoEEMGzbsioRw9erVeemll7jzzjvp3r073bp146OPPrLq07VrV8aOHUujRo2YNGkSNWvWZNu2bVfEZ2NjQ40aNQCoVasWtWvXxtnZmcLCQpYsWcKLL77IAw88QJMmTVi2bBn29va89tprZV7vunXrCAsLw9bWltzcXC5evEjfvn3x8vLC39+fsWPHGqUc5syZw6RJk3j44Yfx9fVl9uzZNG/enAULFljNGRkZSd++ffH29sbDwwO4VDripZdeIigoiMDAQJKSkti5cyd79uy5Iiaz2Yy9vT12dnbUrl2b2rVrY2tryxtvvMGvv/7K8uXLufvuu+nUqRMvvfQSK1as4Icffrj2h/v/zZo1C2dnZ2Pz9PQs91gRERERERGRm0UJYRGRm6Bp06bGzzY2Nri6uuLv72+0ubu7A3Dy5EkAFi9eTGBgIG5ubpjNZpYuXUpOTo7VnHfddRc2NjbGvoeHhzG+tPOaTCZq1659RZ+rycrK4sKFCwQHBxttVapUoXXr1mRkZJQ5bt26dUa5iGbNmtG5c2f8/f3p168fy5Yt48yZMwDk5+fz/fffW80PEBwcfMX8LVu2vOI8lStXplWrVsb+nXfeiYuLy1Vj+72MjAyaNWuGg4OD1flLSkpKXU1dlujoaPLy8oytIl+mJyIiIiIiIlIWJYRFRG6CKlWqWO2bTCarNpPJBFyqp7tq1SqioqIYMWIEH3zwAWlpaQwbNozz589fc86SkpI/3Od6y83N5cCBA3Trdult7jY2NmzdupVNmzbRpEkTFi1ahK+vL8eOHftD8/42YXsrsrOzw8nJyWoTERERERERudVUrugARETEWkpKCm3btmXs2LFGW1ZW1g0/r62tLXDppXaX3XHHHdja2pKSkkKDBg2AS2UaUlNTiYyMLHWe//3vf7Rt29YoQQGXEtHBwcEEBwcTExNDgwYNeO+995gwYQJ16tQhJSWFDh06GP1TUlJo3br1NWO+ePEie/fuNfpmZmZy9uxZ/Pz8yrzG314fgJ+fH4mJiRQWFhpJ55SUFCpVqoSvr+81YxARuZ1kx3Wr6BBEREREpIJphbCIyC2mcePG7N27ly1btnD48GGmTp1KamrqDT9vgwYNMJlMvP/++/z4448UFBTg4ODAo48+ylNPPcXmzZs5dOgQo0aN4ty5c4wYMaLUedavX2+UiwDYvXs3zz//PHv37iUnJ4d3332XH3/80UjaPvXUU8yePZvVq1eTmZnJ5MmTSUtL4/HHH79mzFWqVGHcuHHs3r2bffv2ER4eTps2bcpMJnt5efH555+TmZnJTz/9xIULFxg0aBBVq1Zl6NChHDx4kG3btjFu3DgGDx5slPIQERERERER+btQQlhE5BYzZswY+vbty4ABA7jnnns4deqU1WrhG6Vu3brExsYyefJk3N3diYiIACAuLo4HH3yQwYMHExAQwNGjR9myZQvVq1e/Yo7CwkI++ugjq4Swk5MTn3zyCV27dsXHx4cpU6Ywd+5cHnjgAQDGjx/PhAkTePLJJ/H392fz5s2sX7+exo0bXzPmatWqMWnSJP71r38RHByM2Wxm9erVZfYfNWoUvr6+tGzZEjc3N1JSUqhWrRpbtmzh9OnTtGrVioceeojOnTvz0ksv/dFbKCIiIiIiInLLM1ksFktFByEiIn8P7777LlOmTOHQoUMVHUqFy8/Px9nZmby8PNUTFhERERERkRuuvN9DtUJYRESuG7PZzOzZsys6DBEREREREREpgxLCIiJy3dx///2sWbOG3r1739TzTp8+nebNm9/Uc4qIiIiIiIjcjpQQFhGRGyokJITIyMgbOi4qKoqPPvroD59DRERERERE5J+mckUHICIi8mdZLBaKi4sxm82YzeaKDkdEpFy8Jm+osHNnx3WrsHOLiIiIyK1BK4RFRP7BQkJCGDduHJGRkVSvXh13d3eWLVtGYWEhw4YNw9HRkUaNGrFp0yYAiouLGTFiBN7e3tjb2+Pr60t8fHyZ84eHh7N9+3bi4+MxmUyYTCays7MB2L59O61bt8bOzg4PDw8mT57MxYsXrzouOTkZk8nEpk2bCAwMxM7Ojk8//fSKkhElJSXMmDGDevXqYWdnR/Pmzdm8ebNx/Pz580RERODh4UHVqlVp0KABs2bNMo6fPXuWkSNH4ubmhpOTE506dSI9Pf063nkRERERERGRiqGEsIjIP1xSUhI1a9Zkz549jBs3jkcffZR+/frRtm1b9u/fz/3338/gwYM5d+4cJSUl1KtXj7fffptDhw4RExPD008/zVtvvVXq3PHx8QQFBTFq1Chyc3PJzc3F09OT7777jq5du9KqVSvS09NZsmQJr732Gs8+++xVx102efJk4uLiyMjIoGnTpqWed+7cucyZM4fPP/+csLAwevbsyZEjRwBYuHAh69ev56233iIzM5OVK1fi5eVljO/Xrx8nT55k06ZN7Nu3j4CAADp37szp06ev450XERERERERuflUMkJE5B+uWbNmTJkyBYDo6Gji4uKoWbMmo0aNAiAmJoYlS5bw+eef06ZNG2JjY42x3t7e7Nq1i7feeov+/ftfMbezszO2trZUq1aN2rVrG+0vv/wynp6evPTSS5hMJu68806+//57Jk2aRExMTJnjLpsxYwb33Xdfmdc0Z84cJk2axMMPPwzA7Nmz2bZtGwsWLGDx4sXk5OTQuHFj7r33XkwmEw0aNDDGfvrpp+zZs4eTJ09iZ2dnzLd27VreeecdRo8eXeo5i4qKKCoqMvbz8/PLjE9ERERERESkomiFsIjIP9xvV9ja2Njg6uqKv7+/0ebu7g7AyZMnAVi8eDGBgYG4ublhNptZunQpOTk5f+icGRkZBAUFYTKZjLbg4GAKCgr49ttvrzm+ZcuWZR7Lz8/n+++/Jzg42Ko9ODiYjIwM4FJJirS0NHx9fRk/fjwffPCB0S89PZ2CggJcXV2N2sRms5ljx46RlZVV5nlnzZqFs7Ozsf12RbOIiIiIiIjIrUIrhEVE/uGqVKlitW8ymazaLidtS0pKWLVqFVFRUcydO5egoCAcHR158cUX2b17902N2cHB4S+NDwgI4NixY2zatIkPP/yQ/v37ExoayjvvvENBQQEeHh4kJydfMc7FxaXMOaOjo5kwYYKxn5+fr6SwiIiIiIiI3HKUEBYRkXJLSUmhbdu2jB071mi72qpZAFtbW4qLi63a/Pz8WLNmDRaLxUg4p6Sk4OjoSL169cocVx5OTk7UqVOHlJQUOnToYBV769atrfoNGDCAAQMG8NBDD9GlSxdOnz5NQEAAJ06coHLlylZ1ha/Fzs7OKDEhIiIiIiIicqtSQlhERMqtcePGLF++nC1btuDt7c2KFStITU3F29u7zDFeXl7s3r2b7OxszGYzNWrUYOzYsSxYsIBx48YRERFBZmYm06ZNY8KECVSqVKnMceX11FNPMW3aNO644w6aN29OQkICaWlprFy5EoB58+bh4eFBixYtqFSpEm+//Ta1a9fGxcWF0NBQgoKC6N27Ny+88AI+Pj58//33bNiwgT59+ly1XIWISHlkx3Wr6BBERERE5B9MNYRFRKTcxowZQ9++fRkwYAD33HMPp06dslotXJqoqChsbGxo0qQJbm5u5OTkULduXTZu3MiePXto1qwZjzzyCCNGjDBeblfWuPIaP348EyZM4Mknn8Tf35/Nmzezfv16GjduDICjoyMvvPACLVu2pFWrVmRnZ7Nx40YqVaqEyWRi48aNtG/fnmHDhuHj48PDDz/MN998Y9RTFhEREREREbldmSwWi6WigxAREfm7yc/Px9nZmby8PJycnCo6HBEREREREfmbK+/3UK0QFhEREREREREREfmHUEJYRERERERERERE5B9CCWERESE8PJzevXtXdBgiIiIiIiIicoMpISwiIlcICQkhMjLylh8nIiIiIiIiIn9M5YoOQEREpDwsFgvFxcVUrqy/ukRE/iyvyRsqOoQ/LDuuW0WHICIiIvK3ohXCIiK3mZCQEMaNG0dkZCTVq1fH3d2dZcuWUVhYyLBhw3B0dKRRo0Zs2rQJgOLiYkaMGIG3tzf29vb4+voSHx9f5vzh4eFs376d+Ph4TCYTJpOJ7OxsALZv307r1q2xs7PDw8ODyZMnc/HixWuOO3jwIA888ABmsxl3d3cGDx7MTz/9dNVxycnJmEwmNm3aRGBgIHZ2dnz66adkZWXRq1cv3N3dMZvNtGrVig8//NDqGs6cOcOQIUOoXr061apV44EHHuDIkSPG8W+++YYePXpQvXp1HBwcuOuuu9i4caNx/GrxioiIiIiIiNzOlBAWEbkNJSUlUbNmTfbs2cO4ceN49NFH6devH23btmX//v3cf//9DB48mHPnzlFSUkK9evV4++23OXToEDExMTz99NO89dZbpc4dHx9PUFAQo0aNIjc3l9zcXDw9Pfnuu+/o2rUrrVq1Ij09nSVLlvDaa6/x7LPPXnXc2bNn6dSpEy1atGDv3r1s3ryZH374gf79+1913GWTJ08mLi6OjIwMmjZtSkFBAV27duWjjz7iwIEDdOnShR49epCTk2OMCQ8PZ+/evaxfv55du3ZhsVjo2rUrFy5cAOCxxx6jqKiITz75hC+++ILZs2djNpsBrhlvWYqKisjPz7faRERERERERG41+n+3IiK3oWbNmjFlyhQAoqOjiYuLo2bNmowaNQqAmJgYlixZwueff06bNm2IjY01xnp7e7Nr1y7eeuutUpOczs7O2NraUq1aNWrXrm20v/zyy3h6evLSSy9hMpm48847+f7775k0aRIxMTFljnvppZdo0aIFzz//vNH2+uuv4+npyeHDh/Hx8Sl13GUzZszgvvvuM/Zr1KhBs2bNjP2ZM2fy3nvvsX79eiIiIjhy5Ajr168nJSWFtm3bArBy5Uo8PT1Zu3Yt/fr1IycnhwcffBB/f38AGjZs+IfiLc2sWbOs7rOIiIiIiIjIrUgrhEVEbkNNmzY1fraxscHV1dVIbgK4u7sDcPLkSQAWL15MYGAgbm5umM1mli5darWitjwyMjIICgrCZDIZbcHBwRQUFPDtt9+WOS49PZ1t27ZhNpuN7c477wQgKyvrmudt2bKl1X5BQQFRUVH4+fnh4uKC2WwmIyPDuJ6MjAwqV67MPffcY4xxdXXF19eXjIwMAMaPH8+zzz5LcHAw06ZN4/PPP//L8UZHR5OXl2dsx48fv+a1iYiIiIiIiNxsWiEsInIbqlKlitW+yWSyaructC0pKWHVqlVERUUxd+5cgoKCcHR05MUXX2T37t03JdaCggJ69OjB7Nmzrzjm4eFxzfEODg5W+1FRUWzdupU5c+bQqFEj7O3teeihhzh//ny5Yxo5ciRhYWFs2LCBDz74gFmzZjF37lzGjRv3p+O1s7PDzs6u3DGIiIiIiIiIVAQlhEVE/uYul04YO3as0Xatlbm2trYUFxdbtfn5+bFmzRosFouRcE5JScHR0ZF69eqVOS4gIIA1a9bg5eVF5cql/7VT2rirXU94eDh9+vQBLiWcL7+87nKcFy9eZPfu3UbJiFOnTpGZmUmTJk2Mfp6enjzyyCM88sgjREdHs2zZMsaNG1eueEVERERERERuV/qmKyLyN9e4cWOWL1/Oli1b8Pb2ZsWKFaSmpuLt7V3mGC8vL3bv3k12djZms5kaNWowduxYFixYwLhx44iIiCAzM5Np06YxYcIEKlWqVOa4xx57jGXLljFw4EAmTpxIjRo1OHr0KKtWreLVV1/Fxsam1HFXu553332XHj16YDKZmDp1KiUlJVbHe/XqxahRo3jllVdwdHRk8uTJ1K1bl169egEQGRnJAw88gI+PD2fOnGHbtm34+fkBlCteEZHbVXZct4oOQUREREQqmGoIi4j8zY0ZM4a+ffsyYMAA7rnnHk6dOmW1Wrg0UVFR2NjY0KRJE9zc3MjJyaFu3bps3LiRPXv20KxZMx555BFGjBhhvNyurHF16tQhJSWF4uJi7r//fvz9/YmMjMTFxcVIJJc2rizz5s2jevXqtG3blh49ehAWFkZAQIBVn4SEBAIDA+nevTtBQUFYLBY2btxolNUoLi7msccew8/Pjy5duuDj48PLL78MUK54RURERERERG5XJovFYqnoIERERP5u8vPzcXZ2Ji8vDycnp4oOR0RERERERP7myvs9VEudRERERERERERERP4hlBAWERERERERERER+YdQQlhERG4b4eHh9O7du6LDEBEREREREbltKSEsIiK3rZCQECIjIys6DBEREREREZHbRuWKDkBERERERP46r8kbrtknO67bTYhERERERG5lWiEsIiI3REhICOPGjSMyMpLq1avj7u7OsmXLKCwsZNiwYTg6OtKoUSM2bdoEQHFxMSNGjMDb2xt7e3t8fX2Jj48vc/7w8HC2b99OfHw8JpMJk8lEdnY2ANu3b6d169bY2dnh4eHB5MmTuXjxojH2nXfewd/fH3t7e1xdXQkNDaWwsNA4/uqrr+Ln50fVqlW58847efnll2/MTRIRERERERG5yZQQFhGRGyYpKYmaNWuyZ88exo0bx6OPPkq/fv1o27Yt+/fv5/7772fw4MGcO3eOkpIS6tWrx9tvv82hQ4eIiYnh6aef5q233ip17vj4eIKCghg1ahS5ubnk5ubi6enJd999R9euXWnVqhXp6eksWbKE1157jWeffRaA3NxcBg4cyPDhw8nIyCA5OZm+fftisVgAWLlyJTExMTz33HNkZGTw/PPPM3XqVJKSkq56rUVFReTn51ttIiIiIiIiIrcak+XyN2AREZHrKCQkhOLiYnbs2AFcWgHs7OxM3759Wb58OQAnTpzAw8ODXbt20aZNmyvmiIiI4MSJE7zzzjvApVXBZ8+eZe3atcY5mjdvzoIFC4wxzzzzDGvWrCEjIwOTyQTAyy+/zKRJk8jLyyMtLY3AwECys7Np0KDBFeds1KgRM2fOZODAgUbbs88+y8aNG9m5c2eZ1zt9+nRiY2OvaM/Ly8PJyekad0tE5K9TyQgRERGRf7b8/HycnZ2v+T1UK4RFROSGadq0qfGzjY0Nrq6u+Pv7G23u7u4AnDx5EoDFixcTGBiIm5sbZrOZpUuXkpOT84fOmZGRQVBQkJEMBggODqagoIBvv/2WZs2a0blzZ/z9/enXrx/Lli3jzJkzABQWFpKVlcWIESMwm83G9uyzz5KVlXXV80ZHR5OXl2dsx48f/0Nxi4iIiIiIiNwMeqmciIjcMFWqVLHaN5lMVm2Xk7YlJSWsWrWKqKgo5s6dS1BQEI6Ojrz44ovs3r37usZkY2PD1q1b2blzJx988AGLFi3imWeeYffu3VSrVg2AZcuWcc8991wx7mrs7Oyws7O7rrGKiIiIiIiIXG9KCIuIyC0hJSWFtm3bMnbsWKPtWqtybW1tKS4utmrz8/NjzZo1WCwWI+GckpKCo6Mj9erVAy4looODgwkODiYmJoYGDRrw3nvvMWHCBOrUqcPXX3/NoEGDrvMVioiIiIiIiFQ8JYRFROSW0LhxY5YvX86WLVvw9vZmxYoVpKam4u3tXeYYLy8vdu/eTXZ2NmazmRo1ajB27FgWLFjAuHHjiIiIIDMzk2nTpjFhwgQqVarE7t27+eijj7j//vupVasWu3fv5scff8TPzw+A2NhYxo8fj7OzM126dKGoqIi9e/dy5swZJkyYcLNuh4jIH6b6wCIiIiJSHqohLCIit4QxY8bQt29fBgwYwD333MOpU6esVguXJioqChsbG5o0aYKbmxs5OTnUrVuXjRs3smfPHpo1a8YjjzzCiBEjmDJlCgBOTk588skndO3aFR8fH6ZMmcLcuXN54IEHABg5ciSvvvoqCQkJ+Pv706FDBxITE6+amBYRERERERG5XZgsFoulooMQERH5uynv211FRERERERErofyfg/VCmERERERERERERGRfwglhEVERERERERERET+IZQQFhGRChESEkJkZGRFhyEiIiIiIiLyj6KEsIiI3PbCw8Pp3bv3Hx43ffp0mjdvft3jEREREREREblVVa7oAERERERE5ObwmryhokP4R8uO61bRIYiIiIhohbCIiFS8FStW0LJlSxwdHalduzb/+te/OHnypFWfL7/8ku7du+Pk5ISjoyPt2rUjKyuL6dOnk5SUxLp16zCZTJhMJpKTkwGYNGkSPj4+VKtWjYYNGzJ16lQuXLgAQGJiIrGxsaSnpxvjEhMTATh79iwjR47Ezc0NJycnOnXqRHp6+s28JSIiIiIiIiI3hFYIi4hIhbtw4QIzZ87E19eXkydPMmHCBMLDw9m4cSMA3333He3btyckJISPP/4YJycnUlJSuHjxIlFRUWRkZJCfn09CQgIANWrUAMDR0ZHExETq1KnDF198wahRo3B0dGTixIkMGDCAgwcPsnnzZj788EMAnJ2dAejXrx/29vZs2rQJZ2dnXnnlFTp37szhw4eNuX+vqKiIoqIiYz8/P/+G3S8RERERERGRP0sJYRERqXDDhw83fm7YsCELFy6kVatWFBQUYDabWbx4Mc7OzqxatYoqVaoA4OPjY4yxt7enqKiI2rVrW807ZcoU42cvLy+ioqJYtWoVEydOxN7eHrPZTOXKla3Gffrpp+zZs4eTJ09iZ2cHwJw5c1i7di3vvPMOo0ePLvUaZs2aRWxs7F+/GSIiIiIiIiI3kEpGiIhIhdu3bx89evSgfv36ODo60qFDBwBycnIASEtLo127dkYyuLxWr15NcHAwtWvXxmw2M2XKFGPOsqSnp1NQUICrqytms9nYjh07RlZWVpnjoqOjycvLM7bjx4//oVhFREREREREbgatEBYRkQpVWFhIWFgYYWFhrFy5Ejc3N3JycggLC+P8+fPApRXAf9SuXbsYNGgQsbGxhIWFGSuM586de9VxBQUFeHh4GHWIf8vFxaXMcXZ2dsaKYhEREREREZFblRLCIiJSob766itOnTpFXFwcnp6eAOzdu9eqT9OmTUlKSuLChQulrhK2tbWluLjYqm3nzp00aNCAZ555xmj75ptvrjkuICCAEydOULlyZby8vP7KpYmIiIiIiIjccpQQFhGRClW/fn1sbW1ZtGgRjzzyCAcPHmTmzJlWfSIiIli0aBEPP/ww0dHRODs789lnn9G6dWt8fX3x8vJiy5YtZGZm4urqirOzM40bNyYnJ4dVq1bRqlUrNmzYwHvvvWc1r5eXF8eOHSMtLY169erh6OhIaGgoQUFB9O7dmxdeeAEfHx++//57NmzYQJ8+fWjZsuXNvD0iItdVdly3ig5BRERERCqYagiLiEiFcnNzIzExkbfffpsmTZoQFxfHnDlzrPq4urry8ccfU1BQQIcOHQgMDGTZsmXGauFRo0bh6+tLy5YtcXNzIyUlhZ49e/LEE08QERFB8+bN2blzJ1OnTrWa98EHH6RLly507NgRNzc33nzzTUwmExs3bqR9+/YMGzYMHx8fHn74Yb755hvc3d1v2n0RERERERERuRFMFovFUtFBiIiI/N3k5+fj7OxMXl4eTk5OFR2OiIiIiIiI/M2V93uoVgiLiIiIiIiIiIiI/EMoISwiIiIiIiIiIiLyD6GEsIiIXHdeXl4sWLCgosMQERERERERkd9RQlhERP6xkpOTMZlMnD17tqJDEREREREREbkplBAWEZG/nfPnz1d0CCIiIiIiIiK3JCWERUTkD/v5558ZNGgQDg4OeHh4MH/+fEJCQoiMjLyi7/Dhw+nevbtV24ULF6hVqxavvfYaACUlJbzwwgs0atQIOzs76tevz3PPPWf0P378OP3798fFxYUaNWrQq1cvsrOzjePh4eH07t2b5557jjp16uDr6wvAihUraNmyJY6OjtSuXZt//etfnDx5EoDs7Gw6duwIQPXq1TGZTISHhxvxzJo1C29vb+zt7WnWrBnvvPPO9bp9IiIiIiIiIhVGCWEREfnDJkyYQEpKCuvXr2fr1q3s2LGD/fv3l9p35MiRbN68mdzcXKPt/fff59y5cwwYMACA6Oho4uLimDp1KocOHeKNN97A3d0duJQ8DgsLw9HRkR07dpCSkoLZbKZLly5WK4E/+ugjMjMz2bp1K++//74xdubMmaSnp7N27Vqys7ONpK+npydr1qwBIDMzk9zcXOLj4wGYNWsWy5cv5z//+Q9ffvklTzzxBP/+97/Zvn17mfekqKiI/Px8q01ERERERETkVlO5ogMQEZHby88//0xSUhJvvPEGnTt3BiAhIYE6deqU2r9t27b4+vqyYsUKJk6caPTv168fZrOZn3/+mfj4eF566SWGDh0KwB133MG9994LwOrVqykpKeHVV1/FZDIZ411cXEhOTub+++8HwMHBgVdffRVbW1vj3MOHDzd+btiwIQsXLqRVq1YUFBRgNpupUaMGALVq1cLFxQW4lNh9/vnn+fDDDwkKCjLGfvrpp7zyyit06NCh1OucNWsWsbGxf/yGioiIiIiIiNxEWiEsIiJ/yNdff82FCxdo3bq10ebs7GyUaSjNyJEjSUhIAOCHH35g06ZNRrI2IyODoqIiI7n8e+np6Rw9ehRHR0fMZrORyP3111/Jysoy+vn7+1slgwH27dtHjx49qF+/Po6OjkYyNycnp8xYjx49yrlz57jvvvuM85nNZpYvX251vt+Ljo4mLy/P2I4fP15mXxEREREREZGKohXCIiJyww0ZMoTJkyeza9cudu7cibe3N+3atQPA3t7+qmMLCgoIDAxk5cqVVxxzc3MzfnZwcLA6VlhYSFhYGGFhYaxcuRI3NzdycnIICwu76kvnCgoKANiwYQN169a1OmZnZ1fmODs7u6seFxEREREREbkVKCEsIiJ/SMOGDalSpQqpqanUr18fgLy8PA4fPkz79u1LHePq6krv3r1JSEhg165dDBs2zDjWuHFj7O3t+eijjxg5cuQVYwMCAli9ejW1atXCycmp3HF+9dVXnDp1iri4ODw9PQHYu3evVZ/LK4qLi4uNtiZNmmBnZ0dOTk6Z5SFEREREREREblcqGSEiIn+Io6MjQ4cO5amnnmLbtm18+eWXjBgxgkqVKhk1fkszcuRIkpKSyMjIMGoFA1StWpVJkyYxceJEoyzDZ599xmuvvQbAoEGDqFmzJr169WLHjh0cO3aM5ORkxo8fz7ffflvm+erXr4+trS2LFi3i66+/Zv369cycOdOqT4MGDTCZTLz//vv8+OOPFBQU4OjoSFRUFE888QRJSUlkZWWxf/9+Fi1aRFJS0l+8eyIiIiIiIiIVSwlhERH5w+bNm0dQUBDdu3cnNDSU4OBg/Pz8qFq1apljQkND8fDwICws7IoX0E2dOpUnn3ySmJgY/Pz8GDBgACdPngSgWrVqfPLJJ9SvX5++ffvi5+fHiBEj+PXXX6+6YtjNzY3ExETefvttmjRpQlxcHHPmzLHqU7duXWJjY5k8eTLu7u5EREQAMHPmTKZOncqsWbPw8/OjS5cubNiwAW9v7z97y0RERERERERuCSaLxWKp6CBEROT2VlhYSN26dZk7dy4jRowotU9BQQF169YlISGBvn373uQIb778/HycnZ3Jy8v7Q6UuRERERERERP6M8n4PVQ1hERH5ww4cOMBXX31F69atycvLY8aMGQD06tXrir4lJSX89NNPzJ07FxcXF3r27HmzwxURERERERGR/08lI0RExODl5cWCBQvK1XfOnDk0a9aM0NBQCgsL2bFjBzVr1ryiX05ODu7u7rzxxhu8/vrrVK6sf4sUERERERERqSj6Vi4iIn9YixYt2LdvX7n6enl5catWJ5o+fTpr164lLS2tokMRERERERERuSmUEBYRkVvK+fPnsbW1regwRET+lrwmb6joEG4p2XHdKjoEERERkZtOJSNERP5Bfv75ZwYNGoSDgwMeHh7Mnz+fkJAQIiMjr+ibnZ2NyWSyWj179uxZTCYTycnJRtuXX35J9+7dcXJywtHRkXbt2pGVlQVQ6ty9e/cmPDzc2Pfy8mLmzJkMGTIEJycnRo8eDcCaNWu46667sLOzw8vLi7lz51rN4+XlxfPPP8/w4cNxdHSkfv36LF261KrPpEmT8PHxoVq1ajRs2JCpU6dy4cIFABITE4mNjSU9PR2TyYTJZCIxMdG4zpEjR+Lm5oaTkxOdOnUiPT39D9xpERERERERkVuTEsIiIv8gEyZMICUlhfXr17N161Z27NjB/v37//R83333He3bt8fOzo6PP/6Yffv2MXz4cC5evPiH5rlcj/jAgQNMnTqVffv20b9/fx5++GG++OILpk+fztSpU42E7WVz586lZcuWHDhwgLFjx/Loo4+SmZlpHHd0dCQxMZFDhw4RHx/PsmXLmD9/PgADBgzgySef5K677iI3N5fc3FwGDBgAQL9+/Th58iSbNm1i3759BAQE0LlzZ06fPv2n75WIiIiIiIjIrUAlI0RE/iF+/vlnkpKSeOONN+jcuTMACQkJ1KlT50/PuXjxYpydnVm1ahVVqlQBwMfH5w/P06lTJ5588kljf9CgQXTu3JmpU6cacx46dIgXX3zRanVx165dGTt2LHBpNfD8+fPZtm0bvr6+AEyZMsXo6+XlRVRUFKtWrWLixInY29tjNpupXLkytWvXNvp9+umn7Nmzh5MnT2JnZwdcSlivXbuWd955x1jB/HtFRUUUFRUZ+/n5+X/4PoiIiIiIiIjcaFohLCLyD/H1119z4cIFWrdubbQ5OzsbydM/Iy0tjXbt2hnJ4D+rZcuWVvsZGRkEBwdbtQUHB3PkyBGKi4uNtqZNmxo/m0wmateuzcmTJ4221atXExwcTO3atTGbzUyZMoWcnJyrxpKenk5BQQGurq6YzWZjO3bsmFEKozSzZs3C2dnZ2Dw9Pct17SIiIiIiIiI3k1YIi4hIqSpVuvRvhhaLxWi7XH/3Mnt7+2vO8dvxpc0B4ODg8Kdi/H0i2mQyUVJSAsCuXbsYNGgQsbGxhIWFGSuZf1+L+PcKCgrw8PCwqpN8mYuLS5njoqOjmTBhgrGfn5+vpLCIiIiIiIjccpQQFhH5h2jYsCFVqlQhNTWV+vXrA5CXl8fhw4dp3779Ff3d3NwAyM3NpUWLFgBWL5iDSyt0k5KSuHDhQqmrhN3c3MjNzTX2i4uLOXjwIB07drxqrH5+fqSkpFi1paSk4OPjg42NzbUvFti5cycNGjTgmWeeMdq++eYbqz62trZWK44BAgICOHHiBJUrV8bLy6tc5wKws7MzSkyIiIiIiIiI3KqUEBYR+YdwdHRk6NChPPXUU9SoUYNatWoxbdo0KlWqhMlkuqK/vb09bdq0IS4uDm9vb06ePGlVkxcgIiKCRYsW8fDDDxMdHY2zszOfffYZrVu3xtfXl06dOjFhwgQ2bNjAHXfcwbx58zh79uw1Y33yySdp1aoVM2fOZMCAAezatYuXXnqJl19+udzX27hxY3Jycli1ahWtWrViw4YNvPfee1Z9vLy8OHbsGGlpadSrVw9HR0dCQ0MJCgqid+/evPDCC/j4+PD999+zYcMG+vTpc0V5CxGR20l2XLeKDkFEREREKphqCIuI/IPMmzePoKAgunfvTmhoKMHBwfj5+VG1atVS+7/++utcvHiRwMBAIiMjefbZZ62Ou7q68vHHH1NQUECHDh0IDAxk2bJlxmrh4cOHM3ToUIYMGUKHDh1o2LDhNVcHw6VVum+99RarVq3i7rvvJiYmhhkzZli9UO5aevbsyRNPPEFERATNmzdn586dxkvqLnvwwQfp0qULHTt2xM3NjTfffBOTycTGjRtp3749w4YNw8fHh4cffphvvvkGd3f3cp9fRERERERE5FZksvy+uKOIiPxjFBYWUrduXebOncuIESMqOpy/lfz8fJydncnLy8PJyamiwxEREREREZG/ufJ+D1XJCBGRf5ADBw7w1Vdf0bp1a/Ly8pgxYwYAvXr1quDIRERERERERORmUEJYROQfZs6cOWRmZmJra0tgYCA7duygZs2aFR2WiIiIiIiIiNwESgiLiPyDtGjRgn379lV0GFfw8vIiMjKSyMjIig5FRERERERE5G9NL5UTERERERERERER+YfQCmERERERMXhN3lDRIcgNlB3XraJDEBEREZEKphXCIiJyw/38888MGjQIBwcHPDw8mD9/PiEhIaWWiMjOzsZkMpGWlma0nT17FpPJRHJystH25Zdf0r17d5ycnHB0dKRdu3ZkZWUBUFJSwowZM6hXrx52dnY0b96czZs3G2PPnz9PREQEHh4eVK1alQYNGjBr1iyr840cORI3NzecnJzo1KkT6enp1/2+iIiIiIiIiNxsSgiLiMgNN2HCBFJSUli/fj1bt25lx44d7N+//0/P991339G+fXvs7Oz4+OOP2bdvH8OHD+fixYsAxMfHM3fuXObMmcPnn39OWFgYPXv25MiRIwAsXLiQ9evX89Zbb5GZmcnKlSvx8vIy5u/Xrx8nT55k06ZN7Nu3j4CAADp37szp06f/0n0QERERERERqWgqGSEiIjfUzz//TFJSEm+88QadO3cGICEhgTp16vzpORcvXoyzszOrVq2iSpUqAPj4+BjH58yZw6RJk3j44YcBmD17Ntu2bWPBggUsXryYnJwcGjduzL333ovJZKJBgwbG2E8//ZQ9e/Zw8uRJ7OzsjPnWrl3LO++8w+jRo0uNqaioiKKiImM/Pz//T1+fiIiIiIiIyI2iFcIiInJDff3111y4cIHWrVsbbc7Ozvj6+v7pOdPS0mjXrp2RDP6t/Px8vv/+e4KDg63ag4ODycjIACA8PJy0tDR8fX0ZP348H3zwgdEvPT2dgoICXF1dMZvNxnbs2DGjJEVpZs2ahbOzs7F5enr+6esTERERERERuVG0QlhERG4plSpd+rdKi8VitF24cMGqj729/V86R0BAAMeOHWPTpk18+OGH9O/fn9DQUN555x0KCgrw8PCwqld8mYuLS5lzRkdHM2HCBGM/Pz9fSWERERERERG55WiFsIiI3FANGzakSpUqpKamGm15eXkcPny41P5ubm4A5ObmGm2/fcEcQNOmTdmxY8cViWIAJycn6tSpQ0pKilV7SkoKTZo0seo3YMAAli1bxurVq1mzZg2nT58mICCAEydOULlyZRo1amS11axZs8zrtLOzw8nJyWoTERERERERudVohbCIiNxQjo6ODB06lKeeeooaNWpQq1Ytpk2bRqVKlTCZTFf0t7e3p02bNsTFxeHt7c3JkyeZMmWKVZ+IiAgWLVrEww8/THR0NM7Oznz22We0bt0aX19fnnrqKaZNm8Ydd9xB8+bNSUhIIC0tjZUrVwIwb948PDw8aNGiBZUqVeLtt9+mdu3auLi4EBoaSlBQEL179+aFF17Ax8eH77//ng0bNtCnTx9atmx5U+6bSEXJjutW0SGIiIiIiMgNpISwiIjccPPmzeORRx6he/fuODk5MXHiRI4fP07VqlVL7f/6668zYsQIAgMD8fX15YUXXuD+++83jru6uvLxxx/z1FNP0aFDB2xsbGjevLlRN3j8+PHk5eXx5JNPcvLkSZo0acL69etp3LgxcClJ/cILL3DkyBFsbGxo1aoVGzduNMpVbNy4kWeeeYZhw4bx448/Urt2bdq3b4+7u/sNvlMiIiIiIiIiN5bJ8tsijSIiIjdBYWEhdevWZe7cuYwYMaKiw7kh8vPzcXZ2Ji8vT+UjRERERERE5IYr7/dQrRAWEZEb7sCBA3z11Ve0bt2avLw8ZsyYAUCvXr0qODIRERERERGRfxYlhEVE5KaYM2cOmZmZ2NraEhgYyI4dO676kjYRERERERERuf6UEBYRkevOYrEwZswY3nnnHc6cOcOBAwfYt29fRYclIiIiIiIi8o+nhLCIiFx3mzdvJjExkeTkZBo2bHjDVgKHh4dz9uxZ1q5de0PmFxEREREREfm7UUJYRESuu6ysLDw8PGjbtm2px8+fP4+tre1NjkpE5PrxmryhokP4U7LjulV0CCIiIiJSwSpVdAAiIvL3Eh4ezrhx48jJycFkMuHl5UVISAgRERFERkZSs2ZNwsLCyM7OxmQykZaWZow9e/YsJpOJ5ORko+3LL7+ke/fuODk54ejoSLt27cjKymL69OkkJSWxbt06TCaT1bgvvviCTp06YW9vj6urK6NHj6agoMCYMzk5mdatW+Pg4ICLiwvBwcF88803xvF169YREBBA1apVadiwIbGxsVy8ePFG3zoRERERERGRG04rhEVE5LqKj4/njjvuYOnSpaSmpmJjY0O/fv1ISkri0UcfJSUlpdxzfffdd7Rv356QkBA+/vhjnJycSElJ4eLFi0RFRZGRkUF+fj4JCQkA1KhRg8LCQsLCwggKCiI1NZWTJ08ycuRIIiIiSExM5OLFi/Tu3ZtRo0bx5ptvcv78efbs2YPJZAJgx44dDBkyhIULFxrJ59GjRwMwbdq063/DRERERERERG4iJYRFROS6cnZ2xtHRERsbG2rXrm20N27cmBdeeMHYz87OvuZcixcvxtnZmVWrVlGlShUAfHx8jOP29vYUFRVZnScpKYlff/2V5cuX4+DgAMBLL71Ejx49mD17NlWqVCEvL4/u3btzxx13AODn52eMj42NZfLkyQwdOhSAhg0bMnPmTCZOnHjVhHBRURFFRUXGfn5+/jWvT0RERERERORmU8kIERG5KQIDA//wmLS0NNq1a2ckg8sjIyODZs2aGclggODgYEpKSsjMzKRGjRqEh4cTFhZGjx49iI+PJzc31+ibnp7OjBkzMJvNxjZq1Chyc3M5d+5cmeedNWsWzs7Oxubp6fmHr1dERERERETkRlNCWEREborfJmgBKlW69FeQxWIx2i5cuGDVx97e/obEkpCQwK5du2jbti2rV6/Gx8eHzz77DICCggJiY2NJS0szti+++IIjR45QtWrVMueMjo4mLy/P2I4fP35DYhcRERERERH5K5QQFhGRCuHm5gZgtTr3ty+YA2jatCk7duy4IlF8ma2tLcXFxVZtfn5+pKenU1hYaLSlpKRQqVIlfH19jbYWLVoQHR3Nzp07ufvuu3njjTcACAgIIDMzk0aNGl2xXU5il8bOzg4nJyerTURERERERORWoxrCIiJSIezt7WnTpg1xcXF4e3tz8uRJpkyZYtUnIiKCRYsW8fDDDxMdHY2zszOfffYZrVu3xtfXFy8vL7Zs2UJmZiaurq44OzszaNAgpk2bxtChQ5k+fTo//vgj48aNY/Dgwbi7u3Ps2DGWLl1Kz549qVOnDpmZmRw5coQhQ4YAEBMTQ/fu3alfvz4PPfQQlSpVIj09nYMHD/Lss89WxK0SkVtQdly3ig5BRERERORP0QphERGpMK+//joXL14kMDCQyMjIKxKurq6ufPzxxxQUFNChQwcCAwNZtmyZUVN41KhR+Pr60rJlS9zc3EhJSaFatWps2bKF06dP06pVKx566CE6d+7MSy+9BEC1atX46quvePDBB/Hx8WH06NE89thjjBkzBoCwsDDef/99PvjgA1q1akWbNm2YP38+DRo0uLk3R0REREREROQGMFl+W7xRRERErov8/HycnZ3Jy8tT+QgRERERERG54cr7PVQrhEVERERERERERET+IZQQFhEREREREREREfmHUEJYRET+kpCQECIjIys6DBEREREREREpByWERUSkXJKTkzGZTJw9e7aiQ/lDwsPD6d27958eHxISct1iEREREREREalolSs6ABERqVgWi4Xi4mIqV755fyVcuHCBKlWq3LTz/VGHDx9m//79PPzww0bb/v37+f777+nevXsFRiYi8td4Td5Q0SHILSg7rltFhyAiIiI3kVYIi4j8DZWUlDBr1iy8vb2xt7enWbNmvPPOO8D/rfTdtGkTgYGB2NnZ8d///pdKlSqxd+9eq3kWLFhAgwYN+Prrr+nYsSMA1atXx2QyER4ebnW+iRMnUqNGDWrXrs306dOt5jGZTCxZsoSePXvi4ODAc889B8CSJUu44447sLW1xdfXlxUrVlwx7tVXX6VPnz5Uq1aNxo0bs379euN4cXExI0aMMK7T19eX+Ph44/j06dNJSkpi3bp1mEwmTCYTycnJABw/fpz+/fvj4uJCjRo16NWrF9nZ2QDUrFmTbdu20b9/f86ePUtMTAzR0dE0bNjwT38mIiIiIiIiIrcCJYRFRP6GZs2axfLly/nPf/7Dl19+yRNPPMG///1vtm/fbvSZPHkycXFxZGRk0LNnT0JDQ0lISLCaJyEhgfDwcBo0aMCaNWsAyMzMJDc31yrxmpSUhIODA7t37+aFF15gxowZbN261Wqu6dOn06dPH7744guGDx/Oe++9x+OPP86TTz7JwYMHGTNmDMOGDWPbtm1W42JjY+nfvz+ff/45Xbt2ZdCgQZw+fRq4lIiuV68eb7/9NocOHSImJoann36at956C4CoqCj69+9Ply5dyM3NJTc3l7Zt23LhwgXCwsJwdHRkx44dpKSkYDab6dKlC+fPn6dGjRq88sorhIaGkp6eTlZWFlu2bKFJkyZl3vOioiLy8/OtNhEREREREZFbjclisVgqOggREbl+ioqKqFGjBh9++CFBQUFG+8iRIzl37hyjR4+mY8eOrF27ll69ehnH33rrLR555BFyc3Oxs7Nj//79tGzZkq+//hovLy+Sk5Pp2LEjZ86cwcXFxRgXEhJCcXExO3bsMNpat25Np06diIuLAy6t9I2MjGT+/PlGn+DgYO666y6WLl1qtPXv35/CwkI2bNhgjJsyZQozZ84EoLCwELPZzKZNm+jSpUup1x8REcGJEyeMFdHh4eGcPXuWtWvXGn3++9//8uyzz5KRkYHJZALg/PnzuLi4sHbtWlq1asUzzzzDTz/9xOHDh+nZsyepqaksWLAAX1/fUs87ffp0YmNjr2jPy8vDycmp1DEiIjebSkZIaVQyQkRE5O8hPz8fZ2fna34P1QphEZG/maNHj3Lu3Dnuu+8+zGazsS1fvpysrCyjX8uWLa3G9e7dGxsbG9577z0AEhMT6dixI15eXtc8Z9OmTa32PTw8OHnypFXb78+XkZFBcHCwVVtwcDAZGRllzu3g4ICTk5PV3IsXLyYwMBA3NzfMZjNLly4lJyfnqvGmp6dz9OhRHB0djftTo0YNfv31V7Kysjh58iTt2rXjrbfewsXFhRkzZvDcc89x+PDhMueMjo4mLy/P2I4fP37VGEREREREREQqgl4qJyLyN1NQUADAhg0bqFu3rtUxOzs7Iyns4OBgdczW1pYhQ4aQkJBA3759eeONN6zKQlzN718QZzKZKCkpsWr7/fnK62pzr1q1iqioKObOnUtQUBCOjo68+OKL7N69+6pzFhQUEBgYyMqVK6845ubmhrOz8xUrgQMCAggICChzTjs7O+zs7Mp7WSIiIiIiIiIVQglhEZG/mSZNmmBnZ0dOTg4dOnS44vhvVwn/3siRI7n77rt5+eWXuXjxIn379jWO2draApde5HY9+Pn5kZKSwtChQ422lJSUq9bp/b2UlBTatm3L2LFjjbbfX5+tre0VMQcEBLB69Wpq1ap1zXIOl19CJyIiIiIiIvJ3oISwiMjfjKOjI1FRUTzxxBOUlJRw7733kpeXR0pKCk5OTjRo0KDMsX5+frRp04ZJkyYxfPhw7O3tjWMNGjTAZDLx/vvv07VrV+zt7TGbzX86zqeeeor+/fvTokULQkND+d///se7777Lhx9+WO45GjduzPLly9myZQve3t6sWLGC1NRUvL29jT5eXl5s2bKFzMxMXF1dcXZ2ZtCgQbz44ov06tWLGTNmUK9ePb755hveffddJk6cSL169f70dYmI3MpUK1ZEREREVENYRORvaObMmUydOpVZs2bh5+dHly5d2LBhg1WitCwjRozg/PnzDB8+3Kq9bt26xMbGMnnyZNzd3YmIiPhLMfbu3Zv4+HjmzJnDXXfdxSuvvEJCQgIhISHlnmPMmDH07duXAQMGcM8993Dq1Cmr1cIAo0aNwtfXl5YtW+Lm5kZKSgrVqlXjk08+oX79+vTt2xc/Pz9GjBjBr7/+qhfAiYiIiIiIyN+ayWKxWCo6CBERuXXMnDmTt99+m88//7yiQ7mtlfftriIiIiIiIiLXQ3m/h2qFsIiIAJdetHbw4EFeeuklxo0bV9HhiIiIiIiIiMgNoISwiIgAEBERQWBgICEhIVeUixARERERERGRvwclhEVEbrKQkBAiIyMrOowrJCYmUlRUxOrVq7Gxsbnp5/fy8mLBggU3/bwiIiIiIiIi/yRKCIuI/IOZTCbWrl37p8d7e3vz4YcfXr+AbrLs7GxMJhNpaWkVHYqIiIiIiIjITVG5ogMQEfm7uHDhAlWqVKnoMG6azz//nDNnztChQ4eKDkVERMrJa/KGig7hHyk7rltFhyAiIiJi0AphEZEybN68mXvvvRcXFxdcXV3p3r07WVlZwP+tLF29ejUdOnSgatWqrFy5klOnTjFw4EDq1q1LtWrV8Pf3580337xi7osXLxIREYGzszM1a9Zk6tSpWCwW4/iZM2cYMmQI1atXp1q1ajzwwAMcOXLEOJ6YmIiLiwtbtmzBz88Ps9lMly5dyM3NNfqkpqZy3333UbNmTZydnenQoQP79+83jnt5eQHQp08fTCaTsQ+wbt06AgICqFq1Kg0bNiQ2NpaLFy9aXcO6devo0qULVapUYfjw4TRt2pSioiIAzp8/T4sWLRgyZAgAnTp1IiIiwmr8jz/+iK2tLR999FGp9z8nJ4devXphNptxcnKif//+/PDDD8bx6dOn07x5c1asWIGXlxfOzs48/PDD/Pzzz+X6DOHSCmeAFi1aYDKZCAkJMY69+uqr+Pn5UbVqVe68805efvnlUuMUERERERERuZ0oISwiUobCwkImTJjA3r17+eijj6hUqRJ9+vShpKTE6DN58mQef/xxMjIyCAsL49dffyUwMJANGzZw8OBBRo8ezeDBg9mzZ4/V3ElJSVSuXJk9e/YQHx/PvHnzePXVV43j4eHh7N27l/Xr17Nr1y4sFgtdu3blwoULRp9z584xZ84cVqxYwSeffEJOTg5RUVHG8Z9//pmhQ4fy6aef8tlnn9G4cWO6du1qJExTU1MBSEhIIDc319jfsWMHQ4YM4fHHH+fQoUO88sorJCYm8txzz1ldw/r16+nVqxcACxcupLCwkMmTJwPwzDPPcPbsWV566SUARo4cyRtvvGEkjAH++9//UrduXTp16nTFvS8pKaFXr16cPn2a7du3s3XrVr7++msGDBhg1S8rK4u1a9fy/vvv8/7777N9+3bi4uLK/Rle/lw+/PBDcnNzeffddwFYuXIlMTExPPfcc2RkZPD8888zdepUkpKSroj1sqKiIvLz8602ERERERERkVuNyfLbJWkiIlKmn376CTc3N7744gvMZjPe3t4sWLCAxx9//Krjunfvzp133smcOXOASy+VO3nyJF9++SUmkwm4lFhev349hw4d4siRI/j4+JCSkkLbtm0BOHXqFJ6eniQlJdGvXz8SExMZNmwYR48e5Y477gDg5ZdfZsaMGZw4caLUOEpKSnBxceGNN96ge/fuwKUawu+99x69e/c2+oWGhtK5c2eio6ONtv/+979MnDiR77//HoDvvvuOhg0b8sMPP+Di4gLArl276NChA5MnT2bWrFls27aNe++9F4Bff/2VOnXq8J///If+/fsD0KxZM/r27cu0adOASyuWIyMjiYyMZOvWrTzwwAMcO3YMT09PAA4dOsRdd93Fnj17aNWqFdOnT+fFF1/kxIkTODo6AjBx4kQ++eQTPvvss2t+hnfffTfZ2dl4e3tz4MABmjdvbvRr1KgRM2fOZODAgUbbs88+y8aNG9m5c2epc0+fPp3Y2Ngr2vPy8nBycip1jIjIzaaSERVDJSNERETkZsjPz8fZ2fma30O1QlhEpAxHjhxh4MCBNGzYECcnJ6OkQk5OjtGnZcuWVmOKi4uZOXMm/v7+1KhRA7PZzJYtW6zGALRp08ZIBgMEBQVx5MgRiouLycjIoHLlytxzzz3GcVdXV3x9fcnIyDDaqlWrZiSDATw8PDh58qSx/8MPPzBq1CgaN26Ms7MzTk5OFBQUXBHL76WnpzNjxgzMZrOxjRo1itzcXM6dOwdcWh18uRTDb68hKiqKmTNn8uSTTxrJYICqVasyePBgXn/9dQD279/PwYMHCQ8PLzWGjIwMPD09jWQwQJMmTXBxcbG6B15eXkYyuLR7UJ7P8PcKCwvJyspixIgRVvfg2WeftSo38XvR0dHk5eUZ2/Hjx8vsKyIiIiIiIlJR9FI5EZEy9OjRgwYNGrBs2TLq1KlDSUkJd999N+fPnzf6ODg4WI158cUXiY+PZ8GCBfj7++Pg4EBkZKTVmOvl9y+wM5lMVnWIhw4dyqlTp4iPj6dBgwbY2dkRFBR0zVgKCgqIjY2lb9++VxyrWrUqcCkh3LNnT6tjJSUlpKSkYGNjw9GjR68YO3LkSJo3b863335LQkICnTp1okGDBuW+3tKUdg9+W9KjPJ/h7xUUFACwbNkyq6Q8gI2NTZnj7OzssLOz+zOXISIiIiIiInLTKCEsIlKKU6dOkZmZybJly2jXrh0An3766TXHpaSk0KtXL/79738Dl5Kkhw8fpkmTJlb9du/ebbV/ucavjY0Nfn5+XLx4kd27d1uVjMjMzLxinmvF8vLLL9O1a1cAjh8/zk8//WTVp0qVKhQXF1u1BQQEkJmZSaNGjUqdt6CggG3btrFkyRKr9hdffJGvvvqK7du3ExYWRkJCAsOGDTOO+/v707JlS5YtW8Ybb7xh1BcujZ+fH8ePH+f48eNWJSPOnj1b7ntQns/Q1tYWwOoeuLu7U6dOHb7++msGDRpUrnOJiIiIiIiI3C6UEBYRKUX16tVxdXVl6dKleHh4kJOTY7ww7WoaN27MO++8w86dO6levTrz5s3jhx9+uCKJmZOTw4QJExgzZgz79+9n0aJFzJ0715ijV69ejBo1ildeeQVHR0cmT55M3bp1jZe4lUfjxo1ZsWIFLVu2JD8/n6eeegp7e3urPl5eXnz00UcEBwdjZ2dH9erViYmJoXv37tSvX5+HHnqISpUqkZ6ezsGDB3n22WfZvHkzPj4+RvkFgAMHDhATE8M777xDcHAw8+bN4/HHH6dDhw40bNjQ6Ddy5EgiIiJwcHCgT58+ZcYeGhqKv78/gwYNYsGCBVy8eJGxY8fSoUOHK8p0lKU8n2GtWrWwt7dn8+bN1KtXj6pVq+Ls7ExsbCzjx4/H2dmZLl26UFRUxN69ezlz5gwTJkwo1/lFRG5FqmUrIiIiIqohLCJSikqVKrFq1Sr27dvH3XffzRNPPMGLL754zXFTpkwhICCAsLAwQkJCqF27ttUL2y4bMmQIv/zyC61bt+axxx7j8ccfZ/To0cbxhIQEAgMD6d69O0FBQVgsFjZu3HhFiYSree211zhz5gwBAQEMHjyY8ePHU6tWLas+c+fOZevWrXh6etKiRQsAwsLCeP/99/nggw9o1aoVbdq0Yf78+UZ5h3Xr1lmVi/j111/597//TXh4OD169ABg9OjRdOzYkcGDB1utvh04cCCVK1dm4MCBRvmJ0phMJtatW0f16tVp3749oaGhNGzYkNWrV5f7+svzGVauXJmFCxfyyiuvUKdOHSPhPnLkSF599VUSEhLw9/enQ4cOJCYm4u3tXe7zi4iIiIiIiNyKTJbfFpwUERG5iosXL+Lu7s6mTZto3br1Hx6fnZ3NHXfcQWpqKgEBATcgwltHed/uKiIiIiIiInI9lPd7qEpGiIhIuZ0+fZonnniCVq1a/aFxFy5c4NSpU0yZMoU2bdr87ZPBIiIiIiIiIrcqlYwQEZFyq1WrFlOmTMFkMv2hcSkpKXh4eJCamsp//vOfGxSdiIiIiIiIiFyLEsIiIv9wISEhREZGXrWPl5cXCxYs+EvnsFgsHD58mKysrD89T3mYTCbWrl0LXCpRYTKZSEtL+0tzJicnYzKZOHv27F+OT0RERERERKQiKSEsIiLXlJqaavXSu98mXf+qX375BQcHB44ePXpd5vstT09PcnNzufvuuwEldkVERERERERUQ1hE5G/qwoULVKlS5brM5ebmdl3mKc3WrVtp0KABjRo1uu5z29jYULt27es+r4jI7cpr8oaKDkH+guy4bhUdgoiIiPwNaIWwiMhtYvPmzdx77724uLjg6upK9+7djfILl0sjrF69mg4dOlC1alVWrlzJqVOnGDhwIHXr1qVatWr4+/vz5ptvXjH3xYsXiYiIwNnZmZo1azJ16lQsFotx/LclI7y8vADo06cPJpPJ2AdYsmQJd9xxB7a2tvj6+rJixYprXte6devo2bMnFouF0NBQwsLCjHOfPn2aevXqERMTg8VioVGjRsyZM8dqfFpaGiaTqdQVxr8tGZGdnU3Hjh0BqF69OiaTifDwcACKiooYP348tWrVomrVqtx7772kpqZeM3YRERERERGR240SwiIit4nCwkImTJjA3r17+eijj6hUqRJ9+vShpKTE6DN58mQef/xxMjIyCAsL49dffyUwMJANGzZw8OBBRo8ezeDBg9mzZ4/V3ElJSVSuXJk9e/YQHx/PvHnzePXVV0uN43KiNCEhgdzcXGP/vffe4/HHH+fJJ5/k4MGDjBkzhmHDhrFt27Yyr6mkpIT333+fXr16YTKZSEpKIjU1lYULFwLwyCOPULduXWJiYjCZTAwfPpyEhASrORISEmjfvv01Vxh7enqyZs0aADIzM8nNzSU+Ph6AiRMnsmbNGpKSkti/fz+NGjUiLCyM06dPX3XO3yoqKiI/P99qExEREREREbnVqGSEiMht4sEHH7Taf/3113Fzc+PQoUOYzWYAIiMj6du3r1W/qKgo4+dx48axZcsW3nrrLVq3bm20e3p6Mn/+fEwmE76+vnzxxRfMnz+fUaNGXRHH5fIRLi4uVuUY5syZQ3h4OGPHjgVgwoQJfPbZZ8yZM8dYmft7n332GQD33HMPAHXr1uWVV15hyJAhnDhxgo0bN3LgwAEqV77011V4eDgxMTHs2bOH1q1bc+HCBd54440rVg2XxsbGhho1agBQq1YtXFxcgEuJ9iVLlpCYmMgDDzwAwLJly9i6dSuvvfYaTz311DXnBpg1axaxsbHl6isiIiIiIiJSUbRCWETkNnHkyBEGDhxIw4YNcXJyMko15OTkGH1atmxpNaa4uJiZM2fi7+9PjRo1MJvNbNmyxWoMQJs2bTCZTMZ+UFAQR44cobi4uNzxZWRkEBwcbNUWHBxMRkZGmWPWrVtH9+7dqVTp//466tevH3369CEuLo45c+bQuHFj41idOnXo1q0br7/+OgD/+9//KCoqol+/fuWO8/eysrK4cOGCVexVqlShdevWV43996Kjo8nLyzO248eP/+mYRERERERERG4UJYRFRG4TPXr04PTp0yxbtozdu3eze/duAM6fP2/0cXBwsBrz4osvEh8fz6RJk9i2bRtpaWmEhYVZjalI69evp2fPnlZt586dY9++fdjY2HDkyJErxowcOZJVq1bxyy+/kJCQwIABA6hWrdrNCrlMdnZ2ODk5WW0iIiIiIiIitxolhEVEbgOnTp0iMzOTKVOm0LlzZ/z8/Dhz5sw1x6WkpNCrVy/+/e9/06xZMxo2bMjhw4ev6Hc5uXzZZ599RuPGjbGxsSl13ipVqlyxetjPz4+UlJQrzt+kSZNS5zhy5AjffPMN9913n1X7k08+SaVKldi0aRMLFy7k448/tjretWtXHBwcWLJkCZs3b2b48OGlX3wpbG1tAaxiv/wSvN/GfuHCBVJTU8uMXUREREREROR2pRrCIiK3gerVq+Pq6srSpUvx8PAgJyeHyZMnX3Nc48aNeeedd9i5cyfVq1dn3rx5/PDDD1ckOnNycpgwYQJjxoxh//79LFq0iLlz55Y5r5eXFx999BHBwcHY2dlRvXp1nnrqKfr370+LFi0IDQ3lf//7H++++y4ffvhhqXOsW7eO0NBQq9W9GzZs4PXXX2fXrl0EBATw1FNPMXToUD7//HOqV68OXKoFHB4eTnR0NI0bNyYoKKg8txCABg0aYDKZeP/99+natSv29vaYzWYeffRRnnrqKWrUqEH9+vV54YUXOHfuHCNGjCj33CIit4PsuG4VHYKIiIiIVDCtEBYRuQ1UqlSJVav+H3v3Ht9j/f9x/PHZZsfPDrbmMMawmWGOo1Ahak7LIRFzmI2ShDSn5HxahZD4OmRTDSWHRBG+SCOZzCFrmGb6tm/ksBnZZtvvDzfXz6cZ0xejnvfb7brdPtf7eh9e1zU3bp+X917XCvbt20fNmjV57bXXeOedd2477s0336RevXoEBwfTrFkzypQpQ4cOHQr069WrF3/88QcNGzbklVdeYfDgwbz44ouFzjtjxgw2b96Mt7c3devWBaBDhw7Mnj2b6dOnU6NGDRYsWEB0dDTNmjW76Ryff/65RbmIM2fOEBERwfjx46lXrx4AEyZMoHTp0vTv399ibEREBNnZ2fTp0+e2z+BG5cqVY8KECYwcOZLSpUszcOBAAKKionjuuefo2bMn9erV4/jx42zatMlIQouIiIiIiIj8XZjy8/PzizsIERH5Z/n9998pW7Ysv/zyC6VLl77j8Tt37qRFixacOnXqL42/HzIyMnB1dSU9PV31hEVEREREROSeK+r3UJWMEBGR++7cuXPMnDnzjpO5WVlZnDlzhvHjx/P8888/sMlgERERERERkQeVSkaIiMh9V7VqVV599dU7Hrd8+XIqVqzIhQsXePvtt+9BZCIiIiIiIiJ/b0oIi4jcY9u3b8dkMnHhwoVijcNkMrF27dp7vo6Pjw+zZs26J3OHhYWRm5vLvn37KFeu3D1ZQ0REREREROTvTAlhEZEbzJ8/n1q1auHi4oKLiwuNGjXiq6++Ku6w5B54UBL1IiIiIiIiIveTagiLiNygfPnyREVF4efnR35+PkuXLqV9+/bs37+fGjVqFHd4UgTZ2dnY2toWdxgi/zOfkRuKOwT5G0qJalvcIYiIiIhIMdMOYRGRG4SEhNCmTRv8/PyoWrUqU6ZMwWw289133920f0pKCiaTiRUrVtC4cWPs7e2pWbMmO3bsKNB33759BAUF4ejoSOPGjUlKSrK4Pn/+fKpUqYKtrS3+/v589NFHxrX8/HzGjx9PhQoVsLOzw8vLi0GDBhnXfXx8mDRpEt26dcPJyYly5crx/vvvF4jh999/p2PHjjg6OuLn58e6dessru/YsYOGDRtiZ2dH2bJlGTlyJFevXjWuX7x4kdDQUJycnChbtizvvvsuzZo1Y8iQITd9PuHh4bRr186iLScnh1KlSvHBBx8AkJeXx9tvv42vry92dnZUqFCBKVOmGP1PnTpFly5dcHNzw93dnfbt25OSkmJcDwsLo0OHDkyZMgUvLy/8/f0B+OijjwgKCsLZ2ZkyZcrQvXt3Tp8+bfzcmjdvDkDJkiUxmUyEhYUZ8UybNo1KlSrh4OBA7dq1+eyzz256fyIiIiIiIiIPGyWERUQKkZuby4oVK7h06RKNGjW6Zd9hw4bx+uuvs3//fho1akRISAhnz5616DN69GhmzJhBfHw8NjY2hIeHG9fWrFnD4MGDef311zl8+DAvvfQSffr0Ydu2bQCsWrWKd999lwULFnDs2DHWrl1LYGCgxfzvvPMOtWvXZv/+/YwcOZLBgwezefNmiz4TJkygS5cuHDx4kDZt2hAaGsq5c+cA+M9//kObNm1o0KABBw4cYP78+XzwwQdMnjzZGD906FDi4uJYt24dmzdvZufOnfzwww+FPpe+ffuyceNG0tLSjLb169dz+fJlunbtCsCoUaOIiopizJgxHDlyhGXLllG6dGngWvI4ODgYZ2dndu7cSVxcHGazmVatWpGdnW3MuXXrVpKSkti8eTPr1683xk6aNIkDBw6wdu1aUlJSjKSvt7c3q1atAiApKYm0tDRmz54NwLRp0/jwww/517/+xY8//shrr71Gjx49bprkv1FWVhYZGRkWh4iIiIiIiMiDxpSfn59f3EGIiDxIDh06RKNGjbhy5Qpms5lly5bRpk2bm/ZNSUmhUqVKREVFMWLECACuXr1KpUqVePXVVxk+fDjbt2+nefPmbNmyhRYtWgDw5Zdf0rZtW/744w/s7e1p0qQJNWrUYOHChcbcXbp04dKlS2zYsIGZM2eyYMECDh8+TIkSJQrE4ePjQ0BAgEW94xdeeIGMjAy+/PJL4NpL5d58800mTZoEwKVLlzCbzXz11Ve0atWK0aNHs2rVKhITEzGZTADMmzePESNGkJ6ezqVLl/Dw8GDZsmV07twZgPT0dLy8dyI40wABAABJREFUvOjXr5/xIjkfHx+GDBli7BquUaMGvXv3Zvjw4QA8++yzeHh4EB0dzcWLF/H09GTu3Ln07du3wH19/PHHTJ482SKm7Oxs3NzcWLt2Lc888wxhYWFs3LiR1NTUW5aKiI+Pp0GDBly8eBGz2Wz8XM6fP4+bmxtwLanr7u7Oli1bLP4ToG/fvly+fJlly5YVOv/48eOZMGFCgfb09HRcXFwKHSdSGJWMkHtBJSNERERE/r4yMjJwdXW97fdQ7RAWEfkTf39/EhIS2LNnDy+//DK9e/fmyJEj9O/fH7PZbBw3ujF5aGNjQ1BQEImJiRZ9atWqZXwuW7YsgFHCIDExkSZNmlj0b9KkiTHH888/zx9//EHlypXp168fa9assSjl8OcYrp/fKgYnJydcXFwsYmjUqJGReL0eQ2ZmJr/88gsnTpwgJyeHhg0bGtddXV2NEg2F6du3L9HR0QD89ttvfPXVV8bu6MTERLKysoxE+Z8dOHCA48eP4+zsbDx3d3d3rly5QnJystEvMDCwQDJ43759hISEUKFCBZydnWnatCkAqamphcZ6/PhxLl++zNNPP23xs/7www8t1ruZUaNGkZ6ebhynTp26ZX8RERERERGR4qCXyomI/ImtrS2+vr4A1K9fn7179zJ79mwmTZpEZGTkX573xp2915OueXl5RRrr7e1NUlISW7ZsYfPmzQwYMIB33nmHHTt23HTHcFFiuB5HUWP4q3r16sXIkSPZvXs3u3btolKlSjzxxBMAODg43HJsZmYm9evXJzY2tsA1T09P47OTk5PFtUuXLhEcHExwcDCxsbF4enqSmppKcHCwRamJm60HsGHDBsqVK2dxzc7O7pax2tnZ3baPiIiIiIiISHHTDmERkdvIy8sjKyuLUqVK4evraxw3uvGlc1evXmXfvn0EBAQUeY2AgADi4uIs2uLi4qhevbpx7uDgQEhICHPmzGH79u3s3r2bQ4cO3TSG6+d3GsPu3bu5sZJQXFwczs7OlC9fnsqVK1OiRAn27t1rXE9PT+fo0aO3nNfDw4MOHToQHR1NTEwMffr0Ma75+fnh4ODA1q1bbzq2Xr16HDt2rMCz9/X1xdXVtdA1f/rpJ86ePUtUVBRPPPEE1apVM3ZCX3d9R3Fubq7RVr16dezs7EhNTS2wnre39y3vU0RERERERORhoB3CIiI3GDVqFK1bt6ZChQpcvHiRZcuWsX37djZt2nTLce+//z5+fn4EBATw7rvvcv78eYuXxt3OsGHD6NKlC3Xr1qVly5Z88cUXrF69mi1btgAQExNDbm4ujz76KI6Ojnz88cc4ODhQsWJFY464uDjefvttOnTowObNm1m5ciUbNhS9BumAAQOYNWsWr776KgMHDiQpKYlx48YxdOhQrKyscHZ2pnfv3gwbNgx3d3dKlSrFuHHjsLKysigzcTN9+/alXbt25Obm0rt3b6Pd3t6eESNGMHz4cGxtbWnSpAlnzpzhxx9/JCIigtDQUN555x3at2/PxIkTKV++PCdPnmT16tUMHz6c8uXL33S9ChUqYGtry3vvvUf//v05fPiwUTv5uooVK2IymVi/fj1t2rTBwcEBZ2dnIiMjee2118jLy+Pxxx8nPT2duLg4XFxcLGIXuddU61VERERERO4FJYRFRG5w+vRpevXqRVpaGq6urtSqVYtNmzbx9NNP33JcVFQUUVFRJCQk4Ovry7p163jkkUeKvG6HDh2YPXs206dPZ/DgwVSqVIno6GiaNWsGgJubG1FRUQwdOpTc3FwCAwP54osv8PDwMOZ4/fXXiY+PZ8KECbi4uDBz5kyCg4OLHEO5cuX48ssvGTZsGLVr18bd3Z2IiAjefPNNo8/MmTPp378/7dq1w8XFheHDh3Pq1Cns7e1vOXfLli0pW7YsNWrUwMvLy+LamDFjsLGxYezYsfz666+ULVuW/v37A+Do6Mg333zDiBEj6NSpExcvXqRcuXK0aNHilgXyPT09iYmJ4Y033mDOnDnUq1eP6dOn8+yzz1rc74QJExg5ciR9+vShV69exMTEMGnSJDw9PZk2bRonTpzAzc2NevXq8cYbbxT5WYqIiIiIiIg8qEz5N/5usIiI3JGUlBQqVarE/v37qVOnTrHF4ePjw5AhQxgyZMh9XffSpUuUK1eOGTNmEBERUWi/zMxMypUrR3R0NJ06dbqPERafor7dVURERERERORuKOr3UO0QFhGRItu/fz8//fQTDRs2JD09nYkTJwLQvn37m/bPy8vj999/Z8aMGbi5uVns0BURERERERGR+08JYRERuSPTp08nKSkJW1tb6tevz86dOwstj5GamkqlSpUoX748MTEx2Njonx0RERERERGR4qRv5iLytzR+/HjWrl1LQkLCPZ3Xx8eHe1V5p1mzZtSpU4dZs2bdtm9KSspt+9yNZ1K3bl0CAwPx9vZm7dq1t+zbs2dPAgIC7tnzuV+OHDnCM888Q1JSEk5OTsUdjoiIiIiIiMj/RAlhESmSb775hnfeeYd9+/aRlpbGmjVr6NChwy3HbN++nebNmxdoT0tLo0yZMvcoUilMZGQkr776qnEeFhbGhQsXbpvY/SsOHDjAl19+yfz584221atX869//Yt9+/Zx7ty5ItVdjomJoU+fPhZtdnZ2XLlypUhxBAcHs2XLFr777jsaNGhQ4Pr+/fuJiorim2++4dy5c5QpU4bAwEBeeukl2rVrh8lkonr16jz22GPMnDmTMWPGFGldEZEHlc/IDcUdwkMrJaptcYcgIiIicldYFXcAIvJwuHTpErVr1+b999+/47FJSUmkpaUZR6lSpe5BhA+G7Ozs4g6hUGazGQ8Pj/uy1nvvvcfzzz+P2Ww22i5dusTjjz/OW2+9dUdzubi4WPz5OXnyZJHGpaamsmvXLgYOHMiSJUsKXP/888957LHHyMzMZOnSpSQmJrJx40Y6duzIm2++SXp6utG3T58+zJ8/n6tXr95R7CIiIiIiIiIPGiWERaRIWrduzeTJk+nYseMdjy1VqhRlypQxDiurW//V89FHHxEUFISzszNlypShe/funD592ri+fft2TCYTW7duJSgoCEdHRxo3bkxSUtJN5/Lx8cHV1ZUXXniBixcvAvDhhx/i4eFBVlaWRf8OHTrQs2dP4zwqKorSpUvj7OxMREREgZ2pYWFhdOjQgSlTpuDl5YW/vz8Ahw4d4qmnnsLBwQEPDw9efPFFMjMzjXFXr15l0KBBuLm54eHhwYgRI+jdu/ctd12bTKYCu3nd3NyIiYkxzn/55Re6deuGu7s7Tk5OBAUFsWfPHuBayYjrO3LHjx/P0qVL+fzzzzGZTJhMJrZv316k2G8nNzeXzz77jJCQEIv2nj17MnbsWFq2bFnkua7f941/fkqXLl2kcdHR0bRr146XX36Z5cuX88cffxjXLl26REREBG3btmXDhg0888wzVK5cmYCAACIiIjhw4ACurq5G/6effppz586xY8eOO4pdRERERERE5EGjhLCI3HN16tShbNmyPP3008TFxd22f05ODpMmTeLAgQOsXbuWlJQUwsLCCvQbPXo0M2bMID4+HhsbG8LDwy2uJycns3btWtavX8/69evZsWMHUVFRADz//PPk5uaybt06o//p06fZsGGDMc+nn37K+PHjmTp1KvHx8ZQtW5Z58+YViGPr1q0kJSWxefNm1q9fz6VLlwgODqZkyZLs3buXlStXsmXLFgYOHGiMeeutt4iNjSU6Opq4uDgyMjL+59INmZmZNG3alP/85z+sW7eOAwcOMHz4cPLy8gr0jYyMpEuXLrRq1crYedu4ceMixX47Bw8eJD09naCgoP/pfm68r4oVK+Lt7U379u358ccfbzsmPz+f6OhoevToQbVq1fD19eWzzz4zrn/99decPXuW4cOHFzqHyWQyPtva2lKnTh127txZaP+srCwyMjIsDhEREREREZEHjRLCInLPlC1bln/961+sWrWKVatW4e3tTbNmzfjhhx9uOS48PJzWrVtTuXJlHnvsMebMmcNXX31VYJfqlClTaNq0KdWrV2fkyJHs2rXLYgdvXl4eMTEx1KxZkyeeeIKePXuydetWABwcHOjevTvR0dFG/48//pgKFSrQrFkzAGbNmkVERAQRERH4+/szefJkqlevXiBeJycnFi9eTI0aNahRowbLli3jypUrfPjhh9SsWZOnnnqKuXPn8tFHH/Hbb78B10oqjBo1io4dO1KtWjXmzp2Lm5vbX3nMhmXLlnHmzBnWrl3L448/jq+vL126dKFRo0YF+prNZhwcHLCzszN23tra2hYp9ts5efIk1tbWd6U0iL+/P0uWLOHzzz/n448/Ji8vj8aNG/PLL7/cctyWLVu4fPkywcHBAPTo0YMPPvjAuH706FFj/uv27t2L2Ww2jvXr11vM6eXldctyFdOmTcPV1dU4vL297/h+RURERERERO41JYRF5J7x9/fnpZdeon79+jRu3JglS5bQuHFj3n33XQBiY2MtEnDXd1/u27ePkJAQKlSogLOzM02bNgWu1YS9Ua1atYzPZcuWBbAoLeHj44Ozs7NFnxuv9+vXj6+//pr//Oc/wLUXmIWFhRk7QxMTE3n00Uct1rxZcjUwMBBbW1vjPDExkdq1a+Pk5GS0NWnShLy8PJKSkkhPT+e3336jYcOGxnVra2vq169f+MMsgoSEBOrWrYu7u/tfnuN2sRfFH3/8gZ2dncUO27+qUaNG9OrVizp16tC0aVNWr16Np6cnCxYsAGDq1KkWf4au/xlZsmQJXbt2xcbm2rtTu3XrRlxcHMnJyYWuVatWLRISEkhISODSpUsF6gU7ODhw+fLlQsePGjWK9PR04zh16tT/evsiIiIiIiIid51NcQcgIv8sDRs25NtvvwXg2WeftUi4litXzihZEBwcTGxsLJ6enqSmphIcHFzghW0lSpQwPl9PPt5YHuHG69f73Hi9bt261K5dmw8//JBnnnmGH3/8kQ0b7vzt6zcmT+8lk8lEfn6+RVtOTo7x2cHB4b7EcTuPPPIIly9fJjs72yJRfjeUKFGCunXrcvz4cQD69+9Ply5djOteXl6cO3eONWvWkJOTw/z5841rubm5LFmyhClTpuDn5wdce+HhY489BoCdnR2+vr6Frn3u3DmqVKlS6HU7Ozvs7Oz+p/sTERERERERudeUEBaR+yohIcHYzevs7Gyxgxeu7Q4+e/YsUVFRxq/cx8fH37N4+vbty6xZs/jPf/5Dy5YtLX7NPyAggD179tCrVy+j7bvvvrvtnAEBAcTExHDp0iUjWRwXF4eVlRX+/v64urpSunRp9u7dy5NPPglcS1b+8MMPxkvfbsbT05O0tDTj/NixYxY7VmvVqsXixYs5d+5ckXYJ29rakpube0exF8X1ezhy5Mgt7+evyM3N5dChQ7Rp0wYAd3f3AvcaGxtL+fLlC9Rk/vrrr5kxYwYTJ07kmWeewd3dnbfeeos1a9YUae3Dhw/TuXPnu3IfIiLFJSWqbXGHICIiIiLFTCUjRKRIMjMzjV+nB/j5559JSEgoUMbhRrNmzeLzzz/n+PHjHD58mCFDhvDvf/+bV155pdAxFSpUwNbWlvfee48TJ06wbt06Jk2adLdvx9C9e3d++eUXFi1aVOCldIMHD2bJkiVER0dz9OhRxo0bV6QXmoWGhmJvb0/v3r05fPgw27Zt49VXX6Vnz56ULl0agFdffZVp06bx+eefk5SUxODBgzl//vwtyyxcr+e7f/9+4uPj6d+/v8Uu6G7dulGmTBk6dOhAXFwcJ06cYNWqVezevfum8/n4+HDw4EGSkpL4/fffycnJKVLst+Pp6Um9evWMneDXnTt3joSEBI4cOQJc252bkJDAf//730LnmjhxIl9//TUnTpzghx9+oEePHpw8eZK+ffsWOuaDDz6gc+fO1KxZ0+KIiIjg999/Z+PGjZjNZhYvXsyGDRto27YtmzZt4sSJExw8eJC3334buFbG47qUlBTjPw1EREREREREHmZKCItIkcTHx1O3bl3q1q0LwNChQ6lbty5jx441+owfPx4fHx/jPDs7m9dff53AwECaNm3KgQMH2LJlCy1atCh0HU9PT2JiYli5ciXVq1cnKiqK6dOn37P7cnV15bnnnsNsNtOhQweLa127dmXMmDEMHz6c+vXrc/LkSV5++eXbzuno6MimTZs4d+4cDRo0oHPnzrRo0YK5c+cafUaMGEG3bt3o1asXjRo1wmw2ExwcjL29faHzzpgxA29vb5544gm6d+9OZGQkjo6OxnVbW1u+/vprSpUqRZs2bQgMDCQqKsoisXmjfv364e/vT1BQEJ6ensTFxRUp9qLo27cvsbGxFm3r1q2jbt26tG17bXfaCy+8QN26dfnXv/5l9AkLCzNe6gdw/vx5+vXrR0BAAG3atCEjI4Ndu3bd9OV+cG2H+YEDB3juuecKXHN1daVFixbGy+U6duzIrl27cHR0pFevXvj7+/PUU0/x73//mxUrVtCuXTtj7PLly3nmmWeoWLHiHT0HERERERERkQeNKf/PBSlFRP6i3r17YzKZiImJKe5Q7kiLFi2oUaMGc+bMKbYY8vLyCAgIoEuXLvd0R/T98scff+Dv788nn3xy0xfxFaZp06Y0b96c8ePH37vg7lB2djZ+fn4sW7aMJk2aFHlcRkYGrq6upKen4+Licg8jFBERERERESn691DVEBaRuyI/P5/t27cXKBPwIDt//jzbt29n+/btzJs3776uffLkSb7++muaNm1KVlYWc+fO5eeff6Z79+73NY57xcHBgQ8//JDff/+9yGPS09NJTk7+Sy/2u5dSU1N544037igZLCIiIiIiIvKgUkJYRO4Kk8nEyZMnizuMO1K3bl3Onz/PW2+9VeQXpt0tVlZWxMTEEBkZSX5+PjVr1mTLli0EBATc1zjupRtLP9yuX506dZg1axa//PLLTfv4+PgwZMgQhgwZcvcCLCJfX198fX3v+7oiIiIiIiIi94ISwiLyj5WSklJsa3t7exMXF1ds6z9s9u7di5OTU3GHISIiIiIiIvLQU0JYRETuiZycHEqUKHFX5vL09Lwr84iI/NP5jCxaWZ6UqLb3OBIRERERKS5WxR2AiIg8HDZu3Mjjjz+Om5sbHh4etGvXjuTkZODabmuTycQnn3xC06ZNsbe3JzY2lrNnz9KtWzfKlSuHo6MjgYGBLF++vMDcV69eZeDAgbi6uvLII48wZswYbnznqY+PD7NmzTLOTSYTixcvpmPHjjg6OuLn58e6dess5tyxYwcNGzbEzs6OsmXLMnLkSK5evWpc/+yzzwgMDMTBwQEPDw9atmzJpUuXjOuLFy8mICAAe3t7qlWrdt/rTIuIiIiIiIjcC0oIi4hIkVy6dImhQ4cSHx/P1q1bsbKyomPHjuTl5Rl9Ro4cyeDBg0lMTCQ4OJgrV65Qv359NmzYwOHDh3nxxRfp2bMn33//vcXcS5cuxcbGhu+//57Zs2czc+ZMFi9efMt4JkyYQJcuXTh48CBt2rQhNDSUc+fOAfCf//yHNm3a0KBBAw4cOMD8+fP54IMPmDx5MgBpaWl069aN8PBwEhMT2b59O506dTKS0LGxsYwdO5YpU6aQmJjI1KlTGTNmDEuXLr2bj1RERERERETkvjPl37gFS0REpIh+//13PD09OXToEGazmUqVKjFr1iwGDx58y3Ht2rWjWrVqTJ8+Hbj2UrnTp0/z448/YjKZgGuJ5XXr1nHkyBGg4EvlTCYTb775JpMmTQKuJavNZjNfffUVrVq1YvTo0axatYrExERjznnz5jFixAjS09NJSEigfv36pKSkULFixQIx+vr6MmnSJLp162a0TZ48mS+//JJdu3bd9L6ysrLIysoyzjMyMvD29iY9PR0XF5eiPFIRkXtOJSNERERE/r4yMjJwdXW97fdQ7RAWEZEiOXbsGN26daNy5cq4uLjg4+MDQGpqqtEnKCjIYkxubi6TJk0iMDAQd3d3zGYzmzZtshgD8NhjjxmJW4BGjRpx7NgxcnNzC42nVq1axmcnJydcXFw4ffo0AImJiTRq1MhiziZNmpCZmckvv/xC7dq1adGiBYGBgTz//PMsWrSI8+fPA9eSy8nJyURERGA2m41j8uTJRomMm5k2bRqurq7G4e3tXWhfERERERERkeKil8qJiEiRhISEULFiRRYtWoSXlxd5eXnUrFmT7Oxso4+Tk5PFmHfeeYfZs2cza9YsAgMDcXJyYsiQIRZj/qo/v7DOZDJZlK+4FWtrazZv3syuXbv4+uuvee+99xg9ejR79uzB0dERgEWLFvHoo48WGFeYUaNGMXToUOP8+g5hERERERERkQeJEsIiInJbZ8+eJSkpiUWLFvHEE08A8O233952XFxcHO3bt6dHjx4A5OXlcfToUapXr27Rb8+ePRbn3333HX5+frdMwN5KQEAAq1atIj8/39glHBcXh7OzM+XLlweuJZCbNGlCkyZNGDt2LBUrVmTNmjUMHToULy8vTpw4QWhoaJHXtLOzw87O7i/FKyIiIiIiInK/KCEsIiK3VbJkSTw8PFi4cCFly5YlNTWVkSNH3nacn58fn332Gbt27aJkyZLMnDmT3377rUBCODU1laFDh/LSSy/xww8/8N577zFjxoy/HO+AAQOYNWsWr776KgMHDiQpKYlx48YxdOhQrKys2LNnD1u3buWZZ56hVKlS7NmzhzNnzhAQEABce2HdoEGDcHV1pVWrVmRlZREfH8/58+ctdgGLiDxsVBtYRERERJQQFhGR27KysmLFihUMGjSImjVr4u/vz5w5c2jWrNktx7355pucOHGC4OBgHB0defHFF+nQoQPp6ekW/Xr16sUff/xBw4YNsba2ZvDgwbz44ot/Od5y5crx5ZdfMmzYMGrXro27uzsRERG8+eabALi4uPDNN98wa9YsMjIyqFixIjNmzKB169YA9O3bF0dHR9555x2GDRuGk5MTgYGBxkvtRERERERERB5Wpvz8/PziDkJEROTvpqhvdxURERERERG5G4r6PdTqPsYkIiIiIiIiIiIiIsVICWERERERERERERGRfwglhEVE5KG3fft2TCYTFy5cKO5QRERERERERB5oSgiLiIiIiIiIiIiI/EPYFHcAIiIiIiJyf/iM3HDT9pSotvc5EhEREREpLtohLCIixe7MmTOUKVOGqVOnGm27du3C1taWDz74ACsrK+Lj4y3GzJo1i4oVK5KXl3fTOVetWkWNGjWws7PDx8eHGTNmWFyfN28efn5+2NvbU7p0aTp37mxcy8vLY9q0aVSqVAkHBwdq167NZ599dhfvWERERERERKR4aIewiIgUO09PT5YsWUKHDh145pln8Pf3p2fPngwcOJCIiAg++eQToqOjCQoKMsZER0cTFhaGlVXB/9vct28fXbp0Yfz48XTt2pVdu3YxYMAAPDw8CAsLIz4+nkGDBvHRRx/RuHFjzp07x86dO43x06ZN4+OPP+Zf//oXfn5+fPPNN/To0QNPT0+aNm16X56JiIiIiIiIyL1gys/Pzy/uIERERABeeeUVtmzZQlBQEIcOHWLv3r3Y2dnx6aef0r9/f9LS0rCzs+OHH34gKCiIEydO4OPjw/bt22nevDnnz5/Hzc2N0NBQzpw5w9dff23MPXz4cDZs2MCPP/7I6tWr6dOnD7/88gvOzs4WMWRlZeHu7s6WLVto1KiR0d63b18uX77MsmXLbhp7VlYWWVlZxnlGRgbe3t6kp6fj4uJyl5+UiMhfo5IRIiIiIn9fGRkZuLq63vZ7qEpGiIjIA2P69OlcvXqVlStXEhsbi52dHQAdOnTA2tqaNWvWABATE0Pz5s3x8fG56TyJiYk0adLEoq1JkyYcO3aM3Nxcnn76aSpWrEjlypXp2bMnsbGxXL58GYDjx49z+fJlnn76acxms3F8+OGHJCcnFxr7tGnTcHV1NQ5vb++78ERERERERERE7i4lhEVE5IGRnJzMr7/+Sl5eHikpKUa7ra0tvXr1Ijo6muzsbJYtW0Z4ePhfXsfZ2ZkffviB5cuXU7ZsWcaOHUvt2rW5cOECmZmZAGzYsIGEhATjOHLkyC3rCI8aNYr09HTjOHXq1F+OT0REREREROReUQ1hERF5IGRnZ9OjRw+6du2Kv78/ffv25dChQ5QqVQq4VrKhZs2azJs3j6tXr9KpU6dC5woICCAuLs6iLS4ujqpVq2JtbQ2AjY0NLVu2pGXLlowbNw43Nzf+/e9/8/TTT2NnZ0dqauod1Qu2s7MzdjSLiIiIiIiIPKiUEBYRkQfC6NGjSU9PZ86cOZjNZr788kvCw8NZv349cC3J+9hjjzFixAjCw8NxcHAodK7XX3+dBg0aMGnSJLp27cru3buZO3cu8+bNA2D9+vWcOHGCJ598kpIlS/Lll1+Sl5eHv78/zs7OREZG8tprr5GXl8fjjz9Oeno6cXFxuLi40Lt37/vyPERE7gXVChYRERERJYRFRKTYbd++nVmzZrFt2zaj8P1HH31E7dq1mT9/Pi+//DIAERER7Nq167blIurVq8enn37K2LFjmTRpEmXLlmXixImEhYUB4ObmxurVqxk/fjxXrlzBz8+P5cuXU6NGDQAmTZqEp6cn06ZN48SJE7i5uVGvXj3eeOONe/cQRERERERERO4DU35+fn5xByEiIlIUkyZNYuXKlRw8eLC4Q7mtor7dVURERERERORuKOr3UL1UTkREHniZmZkcPnyYuXPn8uqrrxZ3OCIiIiIiIiIPLSWERUTkgTdw4EDq169Ps2bNblsuQkREREREREQKp5IRIiIi94BKRoiIiIiIiMj9pJIRIiIiIiIiIiIiImLBprgDEBERuVvy8/PJzc3Fxkb/vMk/l8/IDcUdgjzAUqLaFncIIiIiIlLMtENYRETuuc8++4zAwEAcHBzw8PCgZcuWXLp0iWbNmjFkyBCLvh06dCAsLMw4z8rKYsSIEXh7e2NnZ4evry8ffPABANu3b8dkMvHVV19Rv3597Ozs+Pbbb8nKymLQoEGUKlUKe3t7Hn/8cfbu3WvMef78eUJDQ/H09MTBwQE/Pz+io6ON66dOnaJLly64ubnh7u5O+/btSUlJuZePSEREREREROS+UEJYRETuqbS0NLp160Z4eDiJiYls376dTp06UdQS9r169WL58uXMmTOHxMREFixYgNlstugzcuRIoqKiSExMpFatWgwfPpxVq1axdOlSfvjhB3x9fQkODubcuXMAjBkzhiNHjvDVV1+RmJjI/PnzeeSRRwDIyckhODgYZ2dndu7cSVxcHGazmVatWpGdnX13H46IiIiIiIjIfabfqRURkXsqLS2Nq1ev0qlTJypWrAhAYGBgkcYePXqUTz/9lM2bN9OyZUsAKleuXKDfxIkTefrppwG4dOkS8+fPJyYmhtatWwOwaNEiNm/ezAcffMCwYcNITU2lbt26BAUFAeDj42PM9cknn5CXl8fixYsxmUwAREdH4+bmxvbt23nmmWduGmtWVhZZWVnGeUZGRpHuUUREREREROR+0g5hERG5p2rXrk2LFi0IDAzk+eefZ9GiRZw/f75IYxMSErC2tqZp06a37Hc9sQuQnJxMTk4OTZo0MdpKlChBw4YNSUxMBODll19mxYoV1KlTh+HDh7Nr1y6j74EDBzh+/DjOzs6YzWbMZjPu7u5cuXKF5OTkQmOYNm0arq6uxuHt7V2kexQRERERERG5n5QQFhGRe8ra2prNmzfz1VdfUb16dd577z38/f35+eefsbKyKlA6Iicnx/js4OBQpDWcnJzuKKbWrVtz8uRJXnvtNX799VdatGhBZGQkAJmZmdSvX5+EhASL4+jRo3Tv3r3QOUeNGkV6erpxnDp16o5iEhEREREREbkflBAWEZF7zmQy0aRJEyZMmMD+/fuxtbVlzZo1eHp6kpaWZvTLzc3l8OHDxnlgYCB5eXns2LGjyGtVqVIFW1tb4uLijLacnBz27t1L9erVjTZPT0969+7Nxx9/zKxZs1i4cCEA9erV49ixY5QqVQpfX1+Lw9XVtdB17ezscHFxsThEREREREREHjSqISwiIvfUnj172Lp1K8888wylSpViz549nDlzhoCAAJycnBg6dCgbNmygSpUqzJw5kwsXLhhjfXx86N27N+Hh4cyZM4fatWtz8uRJTp8+TZcuXW66npOTEy+//DLDhg3D3d2dChUq8Pbbb3P58mUiIiIAGDt2LPXr16dGjRpkZWWxfv16AgICAAgNDeWdd96hffv2TJw4kfLly3Py5ElWr17N8OHDKV++/D1/ZiL/i5SotsUdgoiIiIiIPMCUEBYRkXvKxcWFb775hlmzZpGRkUHFihWZMWMGrVu3JicnhwMHDtCrVy9sbGx47bXXaN68ucX4+fPn88YbbzBgwADOnj1LhQoVeOONN265ZlRUFHl5efTs2ZOLFy8SFBTEpk2bKFmyJAC2traMGjWKlJQUHBwceOKJJ1ixYgUAjo6OfPPNN4wYMYJOnTpx8eJFypUrR4sWLbTrV0RERERERB56pvw/F28UERGR/1lGRgaurq6kp6crkSwiIiIiIiL3XFG/h6qGsIiIiIiIiIiIiMg/hBLCIiIiIiIiIiIiIv8QSgiLiMgd2b59OyaTyeLlbyIiIiIiIiLycFBCWEREilVKSgomk4mEhIRiWb9Zs2YMGTKkWNYWERERERERud9sijsAEREREfnn8hm5obhD+EdJiWpb3CGIiIiISDHTDmERkX+YixcvEhoaipOTE2XLluXdd9+12CX70UcfERQUhLOzM2XKlKF79+6cPn260PnOnj1Lt27dKFeuHI6OjgQGBrJ8+XKLPnl5ebz99tv4+vpiZ2dHhQoVmDJlCgCVKlUCoG7duphMJpo1a2aMmThxIuXLl8fOzo46deqwceNGY87rO4tXr15N8+bNcXR0pHbt2uzevbvIsYWFhbFjxw5mz56NyWTCZDKRkpICwOHDh2ndujVms5nSpUvTs2dPfv/997/83EVEREREREQeBEoIi4j8wwwdOpS4uDjWrVvH5s2b2blzJz/88INxPScnh0mTJnHgwAHWrl1LSkoKYWFhhc535coV6tevz4YNGzh8+DAvvvgiPXv25Pvvvzf6jBo1iqioKMaMGcORI0dYtmwZpUuXBjD6bdmyhbS0NFavXg3A7NmzmTFjBtOnT+fgwYMEBwfz7LPPcuzYMYv1R48eTWRkJAkJCVStWpVu3bpx9erVIsU2e/ZsGjVqRL9+/UhLSyMtLQ1vb28uXLjAU089Rd26dYmPj2fjxo389ttvdOnSpdDnkJWVRUZGhsUhIiIiIiIi8qAx5efn5xd3ECIicn9cvHgRDw8Pli1bRufOnQFIT0/Hy8uLfv36MWvWrAJj4uPjadCgARcvXsRsNrN9+3aaN2/O+fPncXNzu+k67dq1o1q1akyfPp2LFy/i6enJ3Llz6du3b4G+KSkpVKpUif3791OnTh2jvVy5crzyyiu88cYbRlvDhg1p0KAB77//vjFu8eLFREREAHDkyBFq1KhBYmIi1apVu21scK2GcJ06dSzuffLkyezcuZNNmzYZbb/88gve3t4kJSVRtWrVAvOOHz+eCRMmFGhPT0/HxcXlprGIiEpG3G8qGSEiIiLy95WRkYGrq+ttv4dqh7CIyD/IiRMnyMnJoWHDhkabq6sr/v7+xvm+ffsICQmhQoUKODs707RpUwBSU1NvOmdubi6TJk0iMDAQd3d3zGYzmzZtMvonJiaSlZVFixYtihxnRkYGv/76K02aNLFob9KkCYmJiRZttWrVMj6XLVsWwChxcbvYCnPgwAG2bduG2Ww2jusJ5uTk5JuOGTVqFOnp6cZx6tSpIt+viIiIiIiIyP2il8qJiIjh0qVLBAcHExwcTGxsLJ6enqSmphIcHEx2dvZNx7zzzjvMnj2bWbNmERgYiJOTE0OGDDH6Ozg43NOYS5QoYXw2mUzAtfrDRYmtMJmZmYSEhPDWW28VuHY96fxndnZ22NnZ/dXbEBEREREREbkvtENYROQfpHLlypQoUYK9e/cabenp6Rw9ehSAn376ibNnzxIVFcUTTzxBtWrVbvlCOYC4uDjat29Pjx49qF27NpUrVzbmA/Dz88PBwYGtW7fedLytrS1wbTfvdS4uLnh5eREXF1dgrerVqxf5fm8X2/X1b1wboF69evz444/4+Pjg6+trcTg5ORV5fREREREREZEHjXYIi4j8gzg7O9O7d2+GDRuGu7s7pUqVYty4cVhZWWEymahQoQK2tra899579O/fn8OHDzNp0qRbzunn58dnn33Grl27KFmyJDNnzuS3334zErf29vaMGDGC4cOHY2trS5MmTThz5gw//vgjERERlCpVCgcHBzZu3Ej58uWxt7fH1dWVYcOGMW7cOKpUqUKdOnWIjo4mISGB2NjYIt/v7WID8PHxYc+ePaSkpGA2m3F3d+eVV15h0aJFdOvWjeHDh+Pu7s7x48dZsWIFixcvxtra+q/9AESkANW0FRERERG5v7RDWETkH2bmzJk0atSIdu3a0bJlS5o0aUJAQAD29vZ4enoSExPDypUrqV69OlFRUcbL1wrz5ptvUq9ePYKDg2nWrBllypShQ4cOFn3GjBnD66+/ztixYwkICKBr167GzmMbGxvmzJnDggUL8PLyon379gAMGjSIoUOH8vrrrxMYGMjGjRtZt24dfn5+Rb7XosQWGRmJtbU11atXN0pkXN+dnJubyzPPPENgYCBDhgzBzc0NKyv90ykiIiIiIiIPL1N+fn5+cQchIiLF59KlS5QrV44ZM2YQERFR3OH8bRT17a4iIiIiIiIid0NRv4eqZISIyD/M/v37+emnn2jYsCHp6elMnDgRwNiZKyIiIiIiIiJ/X0oIi4j8A02fPp2kpCRsbW2pX78+O3fu5JFHHinusERERERERETkHlMhRBGRuygsLKxAjdoHTd26ddm3bx+ZmZmcO3eOzZs3ExgY+Jfnuxv3/Oc5mjVrxpAhQ/6nOa8bP348derUuStziYiIiIiIiDzslBAWkQdWWFgYJpOJqKgoi/a1a9diMpmM8/z8fKZPn07VqlWxs7OjXLlyTJky5X6H+7eXkpKCyWQiISGhuEO5I5GRkWzdurW4wxARERERERF5IKhkhIg80Ozt7Xnrrbd46aWXKFmy5E37DB48mK+//prp06cTGBjIuXPnOHfu3H2NMzc31yJJLQ8Os9mM2Wwu7jBERB4IPiM33LW5UqLa3rW5REREROT+0Q5hEXmgtWzZkjJlyjBt2rSbXk9MTGT+/Pl8/vnnPPvss1SqVIn69evz9NNP33buJUuWUKNGDezs7ChbtiwDBw40rs2cOZPAwECcnJzw9vZmwIABZGZmGtdjYmJwc3Nj3bp1VK9eHTs7O1JTU43rEyZMwNPTExcXF/r37092drZxLSsri0GDBlGqVCns7e15/PHH2bt3LwBXrlyhRo0avPjii0b/5ORknJ2dWbJkCZcuXcLFxYXPPvvM4l7Wrl2Lk5MTFy9eNHbyfvrppzzxxBM4ODjQoEEDjh49yt69ewkKCsJsNtO6dWvOnDljMc/ixYsJCAjA3t6eatWqMW/ePONapUqVgGslJ0wmE82aNbMYO336dMqWLYuHhwevvPIKOTk5AEycOJGaNWsWeP516tRhzJgxt/4hFXH89u3badiwIU5OTri5udGkSRNOnjwJFCwZcb08RWHxwrWfUWRkJOXKlcPJyYlHH32U7du33zZWERERERERkQedEsIi8kCztrZm6tSpvPfee/zyyy8Frn/xxRdUrlyZ9evXU6lSJXx8fOjbt+9tdwjPnz+fV155hRdffJFDhw6xbt06fH19jetWVlbMmTOHH3/8kaVLl/Lvf/+b4cOHW8xx+fJl3nrrLRYvXsyPP/5IqVKlANi6dSuJiYls376d5cuXs3r1aiZMmGCMGz58OKtWrWLp0qX88MMP+Pr6EhwczLlz57C3tyc2NpalS5fy+eefk5ubS48ePXj66acJDw/HycmJF154gejoaItYoqOj6dy5M87OzkbbuHHjePPNN/nhhx+wsbGhe/fuDB8+nNmzZ7Nz506OHz/O2LFjjf6xsbGMHTuWKVOmkJiYyNSpUxkzZgxLly4F4Pvvvwdgy5YtpKWlsXr1amPstm3bSE5OZtu2bSxdupSYmBhiYmIACA8PJzEx0Uh6A+zfv5+DBw/Sp0+fW/6cijL+6tWrdOjQgaZNm3Lw4EF2797Niy++eMsd27eKF2DgwIHs3r2bFStWcPDgQZ5//nlatWrFsWPHCp0zKyuLjIwMi0NERERERETkQaOSESLywOvYsSN16tRh3LhxfPDBBxbXTpw4wcmTJ1m5ciUffvghubm5vPbaa3Tu3Jl///vfhc45efJkXn/9dQYPHmy0NWjQwPh84wvNfHx8mDx5Mv3797fYMZuTk8O8efOoXbu2xdy2trYsWbIER0dHatSowcSJExk2bBiTJk3ijz/+YP78+cTExNC6dWsAFi1axObNm/nggw8YNmwYderUYfLkyfTt25cXXniBkydPsn79emP+vn370rhxY9LS0ihbtiynT5/myy+/ZMuWLRZxREZGEhwcDFwrq9GtWze2bt1KkyZNAIiIiLBIgo4bN44ZM2bQqVMn4NqO4CNHjrBgwQJ69+6Np6cnAB4eHpQpU8ZirZIlSzJ37lysra2pVq0abdu2ZevWrfTr14/y5csTHBxMdHS08Yyjo6Np2rQplStXLvRndN3txp87d4709HTatWtHlSpVAAgICLjlnLeKNzU1lejoaFJTU/Hy8jKe5caNG4mOjmbq1Kk3nXPatGkWiX8RERERERGRB5F2CIvIQ+Gtt95i6dKlJCYmWrTn5eWRlZXFhx9+yBNPPEGzZs344IMP2LZtG0lJSaSmpho1ZM1mM1OnTuX06dP8+uuvtGjRotD1tmzZQosWLShXrhzOzs707NmTs2fPcvnyZaOPra0ttWrVKjC2du3aODo6GueNGjUiMzOTU6dOkZycTE5OjpGUBShRogQNGza0uLfXX3+dqlWrMnfuXJYsWYKHh4dxrWHDhtSoUcPYufvxxx9TsWJFnnzySYs4boytdOnSAAQGBlq0nT59GoBLly6RnJxMRESExfOaPHkyycnJhT6n62rUqIG1tbVxfj1RfV2/fv1Yvnw5V65cITs7m2XLlhEeHn7beYsy3t3dnbCwMIKDgwkJCWH27NmkpaX95XgPHTpEbm4uVatWtXgWO3bsuOWzGDVqFOnp6cZx6tSpIt+fiIiIiIiIyP2iHcIi8lB48sknCQ4OZtSoUYSFhRntZcuWxcbGhqpVqxpt13eHpqam0rx5cxISEoxr7u7ulChR4pZrpaSk0K5dO15++WWmTJmCu7s73377LREREWRnZxvJXgcHh3v2IrnTp09z9OhRrK2tOXbsGK1atbK43rdvX95//31GjhxJdHQ0ffr0KRDLjfd5/dqf2/Ly8gCM+siLFi3i0UcftZjnxsRpYf78TG+cGyAkJAQ7OzvWrFmDra0tOTk5dO7c+bbzFnV8dHQ0gwYNYuPGjXzyySe8+eabbN68mccee+yO483MzMTa2pp9+/YVuPdbvZzOzs4OOzu7It+TiIiIiIiISHFQQlhEHhpRUVHUqVMHf39/o61JkyZcvXqV5ORko1zA0aNHAahYsSI2NjYWtYGv8/HxYevWrTRv3rzAtX379pGXl8eMGTOwsrr2ixSffvppkeM8cOAAf/zxBw4ODgB89913mM1mvL29eeSRR7C1tSUuLo6KFSsC10pP7N2716JMRXh4OIGBgURERNCvXz9atmxpUQahR48eDB8+nDlz5nDkyBF69+5d5PhupnTp0nh5eXHixAlCQ0Nv2sfW1haA3NzcO57fxsaG3r17Ex0dja2tLS+88ILxfO7W+Lp161K3bl1GjRpFo0aNWLZsWaEJ4VupW7cuubm5nD59mieeeOKOx4uIiIiIiIg8yJQQFpGHRmBgIKGhocyZM8doa9myJfXq1SM8PJxZs2aRl5fHK6+8wtNPP22xa/jPxo8fT//+/SlVqhStW7fm4sWLxMXF8eqrr+Lr60tOTg7vvfceISEhxMXF8a9//avIcWZnZxMREcGbb75JSkoK48aNY+DAgVhZWeHk5MTLL7/MsGHDcHd3p0KFCrz99ttcvnyZiIgIAN5//312797NwYMH8fb2ZsOGDYSGhvLdd98ZSdmSJUvSqVMnhg0bxjPPPEP58uX/4lP9fxMmTGDQoEG4urrSqlUrsrKyiI+P5/z58wwdOpRSpUrh4ODAxo0bKV++PPb29ri6uhZ5/r59+xpJ7bi4uDuOr7DxP//8MwsXLuTZZ5/Fy8uLpKQkjh07Rq9eve54DYCqVasSGhpKr169mDFjBnXr1uXMmTNs3bqVWrVq0bZt2780r4jIgyAlSn+HiYiIiPzTqYawiDxUJk6caFGKwMrKii+++IJHHnmEJ598krZt2xIQEMCKFStuOU/v3r2ZNWsW8+bNo0aNGrRr145jx44B12oAz5w5k7feeouaNWsSGxvLtGnTihxjixYt8PPz48knn6Rr1648++yzjB8/3rgeFRXFc889R8+ePalXrx7Hjx9n06ZNlCxZkp9++olhw4Yxb948vL29AZg3bx6///47Y8aMsVjnegmLO6nFeyt9+/Zl8eLFREdHExgYSNOmTYmJiaFSpUrAtV26c+bMYcGCBXh5edG+ffs7mt/Pz4/GjRtTrVq1AmUp/pfxjo6O/PTTTzz33HNUrVqVF198kVdeeYWXXnrpjte4Ljo6ml69evH666/j7+9Phw4d2Lt3LxUqVPjLc4qIiIiIiIg8CEz5+fn5xR2EiIjcuY8++ojXXnuNX3/91dg5/CDLz8/Hz8+PAQMGMHTo0Ps+/n7LyMjA1dWV9PR0XFxcijscERERERER+Zsr6vdQlYwQEXnIXL58mbS0NKKionjppZceimTwmTNnWLFiBf/973/p06fPfR8vIiIiIiIiItcoISwi8pB5++23mTJlCk8++SSjRo0q7nCKpFSpUjzyyCMsXLiQkiVL3vfxIiIiIiIiInKNSkaIiMhfEhYWxoULF1i7dm1xh/JAUskIERERERERuZ+K+j1UL5UTEZFbSklJwWQykZCQUNyh3HXNmjVjyJAhxR2GiIiIiIiIyH2jkhEiIvJAycnJoUSJEsUdhojI35LPyA3FHcI9kxLVtrhDEBEREXkoaIewiMhD7MyZM5QpU4apU6cabbt27cLW1patW7eSnJxM+/btKV26NGazmQYNGrBlyxaLOXx8fJg6dSrh4eE4OztToUIFFi5caFyvVKkSAHXr1sVkMtGsWTOL8dOnT6ds2bJ4eHjwyiuvkJOTY1wzmUwFSkq4ubkRExMD/P/u408++YSmTZtib29PbGwsAIsXLyYgIAB7e3uqVavGvHnzjDmuj1u9ejXNmzfH0dGR2rVrs3v3bqPP2bNn6datG+XKlcPR0ZHAwECWL19uXA8LC2PHjh3Mnj0bk8mEyWQiJSUFgMOHD9O6dWvMZjOlS5emZ8+e/P7770X8qYiIiIiIiIg8uJQQFhF5iHl6erJkyRLGjx9PfHw8Fy9epGfPngwcOJAWLVqQmZlJmzZt2Lp1K/v376dVq1aEhISQmppqMc+MGTMICgpi//79DBgwgJdffpmkpCQAvv/+ewC2bNlCWloaq1evNsZt27aN5ORktm3bxtKlS4mJiTGSvXdi5MiRDB48mMTERIKDg4mNjWXs2LFMmTKFxMREpk6dypgxY1i6dKnFuNGjRxMZGUlCQgJVq1alW7duXL16FYArV65Qv359NmzYwOHDh3nxxRfp2bOncT+zZ8+mUaNG9OvXj7S0NNLS0vD29ubChQs89dRT1K1bl/j4eDZu3Mhvv/1Gly5dbnkPWVlZZGRkWBwiIiIiIiIiDxqVjBAReci1adOGfv36ERoaSlBQEE5OTkybNg2A2rVrU7t2baPvpEmTWLNmDevWrWPgwIEWcwwYMACAESNG8O6777Jt2zb8/f3x9PQEwMPDgzJlylisXbJkSebOnYu1tTXVqlWjbdu2bN26lX79+t3RPQwZMoROnToZ5+PGjWPGjBlGW6VKlThy5AgLFiygd+/eRr/IyEjatr32K8ITJkygRo0aHD9+nGrVqlGuXDkiIyONvq+++iqbNm3i008/pWHDhri6umJra4ujo6PFfc2dO5e6deta7LpesmQJ3t7eHD16lKpVq970HqZNm8aECRPu6L5FRERERERE7jftEBYR+RuYPn06V69eZeXKlcTGxmJnZwdAZmYmkZGRBAQE4ObmhtlsJjExscAO4Vq1ahmfTSYTZcqU4fTp07ddt0aNGlhbWxvnZcuWLdK4PwsKCjI+X7p0ieTkZCIiIjCbzcYxefJkkpOTC427bNmyAMb6ubm5TJo0icDAQNzd3TGbzWzatKnAvf/ZgQMH2LZtm8Xa1apVAyiw/o1GjRpFenq6cZw6derOHoKIiIiIiIjIfaAdwiIifwPJycn8+uuv5OXlkZKSQmBgIHBtB+3mzZuZPn06vr6+ODg40LlzZ7Kzsy3G//klbiaTiby8vNuue7txJpOJ/Px8iz431hi+zsnJyficmZkJwKJFi3j00Uct+t2YfP7z+iaTCcBY/5133mH27NnMmjWLwMBAnJycGDJkSIF7/7PMzExCQkJ46623Cly7nnS+GTs7OyMRLyIiIiIiIvKgUkJYROQhl52dTY8ePejatSv+/v707duXQ4cOUapUKeLi4ggLC6Njx47AtWTn9RenFZWtrS1wbcftnfL09CQtLc04P3bsGJcvX77lmNKlS+Pl5cWJEycIDQ294zWvi4uLo3379vTo0QO4lig+evQo1atXN/rY2toWuK969eqxatUqfHx8sLHRP5MiIiIiIiLy96JvuiIiD7nRo0eTnp7OnDlzMJvNfPnll4SHh7N+/Xr8/PxYvXo1ISEhmEwmxowZU6SdvzcqVaoUDg4ObNy4kfLly2Nvb4+rq2uRxj711FPMnTuXRo0akZuby4gRIwrsKr6ZCRMmMGjQIFxdXWnVqhVZWVnEx8dz/vx5hg4dWqS1/fz8+Oyzz9i1axclS5Zk5syZ/PbbbxYJYR8fH/bs2UNKSgpmsxl3d3deeeUVFi1aRLdu3Rg+fDju7u4cP36cFStWsHjx4gK7lEVEHiYpUW2LOwQRERERKWaqISwi8hDbvn07s2bN4qOPPsLFxQUrKys++ugjdu7cyfz585k5cyYlS5akcePGhISEEBwcTL169e5oDRsbG+bMmcOCBQvw8vKiffv2RR47Y8YMvL29eeKJJ+jevTuRkZE4Ojredlzfvn1ZvHgx0dHRBAYG0rRpU2JiYqhUqVKR137zzTepV68ewcHBNGvWjDJlytChQweLPpGRkVhbW1O9enU8PT1JTU3Fy8uLuLg4cnNzeeaZZwgMDGTIkCG4ublhZaV/NkVEREREROThZsr/c3FHERER+Z9lZGTg6upKeno6Li4uxR2OiIiIiIiI/M0V9XuotjqJiIiIiIiIiIiI/EMoISwiIiIiIiIiIiLyD6GEsIj846SkpGAymUhISACu1eE1mUxcuHABgJiYGNzc3Io835/HP2jGjx9PnTp1itz/z8+nOIwZM4YXX3yx2Na/0QsvvMCMGTOKOwwRERERERGRu0IJYRH5x/H29iYtLY2aNWsWdyh/G2FhYQVe2PZX/fe//2X27NmMHj0agJCQEFq1anXTvjt37sRkMnHw4EEjkW1tbc1//vMfi35paWnY2NhgMplISUkpME9wcDDW1tbs3bu3wLU333yTKVOmkJ6e/r/fnIiIiIiIiEgxsynuAERE7jdra2vKlClT3GFIIRYvXkzjxo2pWLEiABERETz33HP88ssvlC9f3qJvdHQ0QUFB1KpVy0j0litXjg8//JBRo0YZ/ZYuXUq5cuVITU0tsF5qaiq7du1i4MCBLFmyhAYNGlhcr1mzJlWqVOHjjz/mlVdeuct3KyJyf/mM3FDcIRSLlKi2xR2CiIiIyANDO4RF5IGxcOFCvLy8yMvLs2hv37494eHhACQnJ9O+fXtKly6N2WymQYMGbNmyxaK/j48PU6dOJTw8HGdnZypUqMDChQuN63dSEiElJQUrKyvi4+Mt2mfNmkXFihULxAr/X3Ji/fr1+Pv74+joSOfOnbl8+TJLly7Fx8eHkiVLMmjQIHJzc41xH330EUFBQTg7O1OmTBm6d+/O6dOnjevXS1Ns3bqVoKAgHB0dady4MUlJSRbrR0VFUbp0aZydnYmIiODKlSsFYly8eDEBAQHY29tTrVo15s2bV+gzyM3NJSIigkqVKuHg4IC/vz+zZ882ro8fP56lS5fy+eefYzKZMJlMbN++HYBTp07RpUsX3NzccHd3p3379jfdoXujFStWEBISYpy3a9cOT09PYmJiLPplZmaycuVKIiIiLNp79+5NdHS0RVt0dDS9e/e+6XrR0dG0a9eOl19+meXLl/PHH38U6BMSEsKKFStuGbeIiIiIiIjIw0AJYRF5YDz//POcPXuWbdu2GW3nzp1j48aNhIaGAteSgG3atGHr1q3s37+fVq1aERISUmDn54wZMwgKCmL//v0MGDCAl19+uUDitCh8fHxo2bLlTROMYWFhWFnd/K/Ry5cvM2fOHFasWMHGjRvZvn07HTt25Msvv+TLL7/ko48+YsGCBXz22WfGmJycHCZNmsSBAwdYu3YtKSkphIWFFZh79OjRzJgxg/j4eGxsbIxkOcCnn37K+PHjmTp1KvHx8ZQtW7ZAsjc2NpaxY8cyZcoUEhMTmTp1KmPGjGHp0qU3vZe8vDzKly/PypUrOXLkCGPHjuWNN97g008/BSAyMpIuXbrQqlUr0tLSSEtLo3HjxuTk5BAcHIyzszM7d+4kLi4Os9lMq1atyM7Ovula586d48iRIwQFBRltNjY29OrVi5iYGPLz8432lStXkpubS7du3SzmePbZZzl//jzffvstAN9++y3nz5+3SDJfl5+fT3R0ND169KBatWr4+vpa/Eyua9iwId9//z1ZWVk3jRsgKyuLjIwMi0NERERERETkQaOEsIg8MEqWLEnr1q1ZtmyZ0fbZZ5/xyCOP0Lx5cwBq167NSy+9RM2aNfHz82PSpElUqVKFdevWWczVpk0bBgwYgK+vLyNGjOCRRx6xSDTfib59+7J8+XIjGfjDDz9w6NAh+vTpU+iYnJwc5s+fT926dXnyySfp3Lkz3377LR988AHVq1enXbt2NG/e3CKm8PBwWrduTeXKlXnssceYM2cOX331FZmZmRZzT5kyhaZNm1K9enVGjhzJrl27jF3As2bNIiIigoiICPz9/Zk8eTLVq1e3GD9u3DhmzJhBp06dqFSpEp06deK1115jwYIFN72XEiVKMGHCBIKCgqhUqRKhoaH06dPHSAibzWYcHByws7OjTJkylClTBltbWz755BPy8vJYvHgxgYGBBAQEEB0dTWpqqrGD+M9SU1PJz8/Hy8vLoj08PJzk5GR27NhhtEVHR/Pcc8/h6upaIN4ePXqwZMkSAJYsWUKPHj0oUaJEgfW2bNnC5cuXCQ4OBqBHjx588MEHBfp5eXmRnZ3Nf//735vGDTBt2jRcXV2Nw9vbu9C+IiIiIiIiIsVFCWEReaCEhoayatUqI/kaGxvLCy+8YOzEzczMJDIykoCAANzc3DCbzSQmJhbYIVyrVi3js8lkokyZMhblF+5Ehw4dsLa2Zs2aNcC1khDNmzfHx8en0DGOjo5UqVLFOC9dujQ+Pj6YzWaLthtj2rdvHyEhIVSoUAFnZ2eaNm0KcMt7K1u2LIAxT2JiIo8++qhF/0aNGhmfL126RHJyMhEREZjNZuOYPHkyycnJhd7P+++/T/369fH09MRsNrNw4cKb1uO90YEDBzh+/DjOzs7GOu7u7ly5cqXQta6Xa7C3t7dor1atGo0bNzaSvMePH2fnzp0FykVcFx4ezsqVK/nvf//LypUrLXZR32jJkiV07doVG5trJfW7detGXFxcgfgcHByAazu/CzNq1CjS09ON49SpU4X2FRERERERESkuSgiLyAMlJCSE/Px8NmzYwKlTp9i5c6dRLgKulSdYs2YNU6dOZefOnSQkJBAYGFigBMGfd4OaTKab1vstCltbW3r16kV0dDTZ2dksW7as0ATjrda/VUyXLl0iODgYFxcXYmNj2bt3r5GAvtW9mUwmgCLf2/XdxosWLSIhIcE4Dh8+zHfffXfTMStWrCAyMpKIiAi+/vprEhIS6NOnT6FlH25cq379+hbrJCQkcPToUbp3737TMY888ggA58+fL3AtIiKCVatWcfHiRaKjo6lSpYqRNP+zwMBAqlWrRrdu3QgICKBmzZoF+pw7d441a9Ywb948bGxssLGxoVy5cly9etVIPN/YF8DT07PQ+7Wzs8PFxcXiEBEREREREXnQ2BR3ACIiN7K3t6dTp07ExsZy/Phx/P39qVevnnE9Li6OsLAwOnbsCFxLOt7uJWV3Q9++falZsybz5s3j6tWrdOrU6a7O/9NPP3H27FmioqKMUgN/fpFdUQQEBLBnzx569epltN2Y6C1dujReXl6cOHHCItF+K3FxcTRu3JgBAwYYbX/eQWtra2vxgjyAevXq8cknn1CqVKkiJ0erVKmCi4sLR44coWrVqhbXunTpwuDBg1m2bBkffvghL7/8spEQv5nw8HAGDBjA/Pnzb3o9NjaW8uXLs3btWov2r7/+mhkzZjBx4kSsra0BOHz4MOXLlzcS1iIiD6uUqLbFHYKIiIiIFDPtEBaRB05oaCgbNmxgyZIlBZKWfn5+rF69moSEBA4cOED37t3/8s7fOxEQEMBjjz3GiBEj6Natm1FC4G6pUKECtra2vPfee5w4cYJ169YxadKkO55n8ODBLFmyhOjoaI4ePcq4ceP48ccfLfpMmDCBadOmMWfOHI4ePcqhQ4eIjo5m5syZN53Tz8+P+Ph4Nm3axNGjRxkzZgx79+616OPj48PBgwdJSkri999/Jycnh9DQUB555BHat2/Pzp07+fnnn9m+fTuDBg3il19+uelaVlZWtGzZ0ngh3I3MZjNdu3Zl1KhRpKWl3fSFezfq168fZ86coW/fvje9/sEHH9C5c2dq1qxpcURERPD777+zceNGo+/OnTt55plnbrmeiIiIiIiIyMNACWEReeA89dRTuLu7k5SUVKC0wMyZMylZsiSNGzcmJCSE4OBgix3E91JERATZ2dm3LRfxV3h6ehITE8PKlSupXr06UVFRTJ8+/Y7n6dq1K2PGjGH48OHUr1+fkydP8vLLL1v06du3L4sXLyY6OprAwECaNm1KTEwMlSpVuumcL730Ep06daJr1648+uijnD171mK3MFxLvvr7+xMUFISnpydxcXE4OjryzTffUKFCBTp16kRAQAARERFcuXLlljuG+/bty4oVK26a6I+IiOD8+fMEBwcXePHcn9nY2PDII48Y9YFvtG/fPg4cOMBzzz1X4JqrqystWrQwXi535coV1q5dS79+/W65noiIiIiIiMjDwJSfn59f3EGIiDwMJk2axMqVKzl48GBxh/K3lp+fz6OPPsprr71Gt27dijsc5s+fz5o1a/j666/vaFxGRgaurq6kp6ernrCIiIiIiIjcc0X9HqodwiIit5GZmcnhw4eZO3cur776anGH87dnMplYuHAhV69eLe5QgGsv8XvvvfeKOwwRERERERGRu0IJYRGR2xg4cCD169enWbNm96RcxN9RSkoKJpOJhIQEALZv347JZOLChQsAxMTE4ObmVuj4OnXq0LNnz3sfaBH07dsXf3//4g5DRERERERE5K5QQlhE5DZiYmLIysrik08+wdraurjDeSh4e3uTlpZGzZo178t6f044F9WfE9ciIiIiIiIif3cF37QjIiLyP7K2tqZMmTLFHYaIiPyJz8gNxR3CPZMS1ba4QxARERF5KGiHsIjIP8zChQvx8vIiLy/Por19+/aEh4eTnJxM+/btKV26NGazmQYNGrBlyxaLvj4+PkydOpXw8HCcnZ2pUKECCxcuNK7f6c7boqyZlZXFiBEj8Pb2xs7ODl9fXz744ANSUlJo3rw5ACVLlsRkMhEWFgbAxo0befzxx3Fzc8PDw4N27dqRnJxszFmpUiUA6tati8lkolmzZsa1xYsXExAQgL29PdWqVWPevHlFuhcRERERERGRB5kSwiIi/zDPP/88Z8+eZdu2bUbbuXPn2LhxI6GhoWRmZtKmTRu2bt3K/v37adWqFSEhIaSmplrMM2PGDIKCgti/fz8DBgzg5ZdfJikp6S/FVJQ1e/XqxfLly5kzZw6JiYksWLAAs9mMt7c3q1atAiApKYm0tDRmz54NwKVLlxg6dCjx8fFs3boVKysrOnbsaCTDv//+ewC2bNlCWloaq1evBiA2NpaxY8cyZcoUEhMTmTp1KmPGjGHp0qV/6f5EREREREREHhQqGSEi8g9TsmRJWrduzbJly2jRogUAn332GY888gjNmzfHysqK2rVrG/0nTZrEmjVrWLduHQMHDjTa27Rpw4ABAwAYMWIE7777Ltu2bftLL2CrXbv2Ldc8evQon376KZs3b6Zly5YAVK5c2ejv7u4OQKlSpSxeVvfcc89ZrLNkyRI8PT05cuQINWvWxNPTEwAPDw+LEhfjxo1jxowZdOrUCbi2k/jIkSMsWLCA3r173/QesrKyyMrKMs4zMjLu+DmIiIiIiIiI3GvaISwi8g8UGhrKqlWrjARmbGwsL7zwAlZWVmRmZhIZGUlAQABubm6YzWYSExML7BCuVauW8dlkMlGmTBlOnz79l+K53ZoJCQlYW1vTtGnTO5r32LFjdOvWjcqVK+Pi4oKPjw9AgXu50aVLl0hOTiYiIgKz2WwckydPtig38WfTpk3D1dXVOLy9ve8oVhEREREREZH7QTuERUT+gUJCQsjPz2fDhg00aNCAnTt38u677wIQGRnJ5s2bmT59Or6+vjg4ONC5c2eys7Mt5ihRooTFuclkKlCXuKhut6aDg8NfmjckJISKFSuyaNEio25yzZo1C9zLjTIzMwFYtGgRjz76qMU1a2vrQseNGjWKoUOHGucZGRlKCouIiIiIiMgDRwlhEZF/IHt7ezp16kRsbCzHjx/H39+fevXqARAXF0dYWBgdO3YEriVIU1JS7mk8t1szMDCQvLw8duzYYZSMuJGtrS0Aubm5RtvZs2dJSkpi0aJFPPHEEwB8++23tx1XunRpvLy8OHHiBKGhoUW+Bzs7O+zs7IrcX0RERERERKQ4KCEsIvIPFRoaSrt27fjxxx/p0aOH0e7n58fq1asJCQnBZDIxZsyYv7zzt6hut6aPjw+9e/cmPDycOXPmULt2bU6ePMnp06fp0qULFStWxGQysX79etq0aYODgwMlS5bEw8ODhQsXUrZsWVJTUxk5cqTFuqVKlcLBwYGNGzdSvnx57O3tcXV1ZcKECQwaNAhXV1datWpFVlYW8fHxnD9/3mIXsIjIwyYlqm1xhyAiIiIixUw1hEVE/qGeeuop3N3dSUpKonv37kb7zJkzKVmyJI0bNyYkJITg4GBj9/C9UpQ158+fT+fOnRkwYADVqlWjX79+XLp0CYBy5coxYcIERo4cSenSpRk4cCBWVlasWLGCffv2UbNmTV577TXeeecdizltbGyYM2cOCxYswMvLi/bt2wPQt29fFi9eTHR0NIGBgTRt2pSYmBgqVap0T5+DiIiIiIiIyL1mys/Pzy/uIERERP5uMjIycHV1JT09HRcXl+IOR0RERERERP7mivo9VDuERURERERERERERP4hlBAWERERERERERER+YdQQlhERP5WfHx8mDVrlnFuMplYu3ZtscUjIiIiIiIi8iCxKe4ARERE7qW0tDRKlixZ3GGIiIiIiIiIPBC0Q1hERP7WypQpg52dXXGHISLyQPAZuaG4QxARERGRYqaEsIiIPDAWLlyIl5cXeXl5Fu3t27cnPDyc5ORk2rdvT+nSpTGbzTRo0IAtW7bccs4bS0akpKRgMplYvXo1zZs3x9HRkdq1a7N7926LMd9++y1PPPEEDg4OeHt7M2jQIC5dunRX71VERERERESkOCghLCIiD4znn3+es2fPsm3bNqPt3LlzbNy4kdDQUDIzM2nTpg1bt25l//79tGrVipCQEFJTU+9ondGjRxMZGUlCQgJVq1alW7duXL16FYDk5GRatWrFc889x8GDB/nkk0/49ttvGThw4F29VxEREREREZHioISwiIg8MEqWLEnr1q1ZtmyZ0fbZZ5/xyCOP0Lx5c2rXrs1LL71EzZo18fPzY9KkSVSpUoV169bd0TqRkZG0bduWqlWrMmHCBE6ePMnx48cBmDZtGqGhoQwZMgQ/Pz8aN27MnDlz+PDDD7ly5Uqhc2ZlZZGRkWFxiIiIiIiIiDxolBAWEZEHSmhoKKtWrSIrKwuA2NhYXnjhBaysrMjMzCQyMpKAgADc3Nwwm80kJibe8Q7hWrVqGZ/Lli0LwOnTpwE4cOAAMTExmM1m4wgODiYvL4+ff/650DmnTZuGq6urcXh7e9/prYuIiIiIiIjcczbFHYCIiMiNQkJCyM/PZ8OGDTRo0ICdO3fy7rvvAtd29m7evJnp06fj6+uLg4MDnTt3Jjs7+47WKFGihPHZZDIBGHWLMzMzeemllxg0aFCBcRUqVCh0zlGjRjF06FDjPCMjQ0lhEREREREReeAoISwiIg8Ue3t7OnXqRGxsLMePH8ff35969eoBEBcXR1hYGB07dgSuJW9TUlLu6vr16tXjyJEj+Pr63tE4Ozs77Ozs7mosIiIiIiIiInebSkaIiMgDJzQ0lA0bNrBkyRJCQ0ONdj8/P1avXk1CQgIHDhyge/fuxs7eu2XEiBHs2rWLgQMHkpCQwLFjx/j888/1UjkR+VtIiWpb3CGIiIiISDFTQlhERB44Tz31FO7u7iQlJdG9e3ejfebMmZQsWZLGjRsTEhJCcHCwsXv4bqlVqxY7duzg6NGjPPHEE9StW5exY8fi5eV1V9cRERERERERKQ6m/Pz8/OIOQkRE5O8mIyMDV1dX0tPTcXFxKe5wRERERERE5G+uqN9DtUNYRERERERERERE5B9CCWERERERERERERGRfwglhEVERERERERERET+IZQQFhEREREREREREfmHsCnuAERERO6XnJwcSpQoUdxhiIgUG5+RG/7SuJSotnc5EhEREREpLtohLCIiDy0fHx9mzZpl0VanTh3Gjx8PgMlkYv78+Tz77LM4OTkxZcoUAD7//HPq1auHvb09lStXZsKECVy9etWYY+bMmQQGBuLk5IS3tzcDBgwgMzPzft2WiIiIiIiIyD2jhLCIiPytjR8/no4dO3Lo0CHCw8PZuXMnvXr1YvDgwRw5coQFCxYQExNjJIsBrKysmDNnDj/++CNLly7l3//+N8OHDy/GuxARERERERG5O1QyQkRE/ta6d+9Onz59jPPw8HBGjhxJ7969AahcuTKTJk1i+PDhjBs3DoAhQ4YY/X18fJg8eTL9+/dn3rx5ha6TlZVFVlaWcZ6RkXGX70RERERERETkf6eEsIiI/K0FBQVZnB84cIC4uDiLHcG5ublcuXKFy5cv4+joyJYtW5g2bRo//fQTGRkZXL161eL6zUybNo0JEybc03sRERERERER+V+pZISIiDy0rKysyM/Pt2jLycmxOHdycrI4z8zMZMKECSQkJBjHoUOHOHbsGPb29qSkpNCuXTtq1arFqlWr2LdvH++//z4A2dnZhcYyatQo0tPTjePUqVN36S5FRERERERE7h7tEBYRkYeWp6cnaWlpxnlGRgY///zzLcfUq1ePpKQkfH19b3p937595OXlMWPGDKysrv2/6aeffnrbWOzs7LCzs7uD6EVERERERETuPyWERUTkofXUU08RExNDSEgIbm5ujB07Fmtr61uOGTt2LO3ataNChQp07twZKysrDhw4wOHDh5k8eTK+vr7k5OTw3nvvERISQlxcHP/617/u0x2JiNxbKVFtizsEERERESlmKhkhIiIPrVGjRtG0aVPatWtH27Zt6dChA1WqVLnlmODgYNavX8/XX39NgwYNeOyxx3j33XepWLEiALVr12bmzJm89dZb1KxZk9jYWKZNm3Y/bkdERERERETknjPl/7n4ooiIiPzPMjIycHV1JT09HRcXl+IOR0RERERERP7mivo9VDuERURERERERERERP4hlBAWERERERERERER+YdQQlhERP7WfHx8mDVrVnGHISIiIiIiIvJAsCnuAERE5O+pWbNm1KlTp9iTsXv37sXJyalYYxARERERERF5UCghLCIiD6ycnBxKlCjxP83h6el5l6IREXn4+YzcUNwh3DMpUW2LOwQRERGRh4JKRoiIyF0XFhbGjh07mD17NiaTCZPJhI2NDdOnT7fol5CQgMlk4vjx4wCYTCbmz5/Ps88+i5OTE1OmTAFg/vz5VKlSBVtbW/z9/fnoo4+MOfLz8xk/fjwVKlTAzs4OLy8vBg0aZFz/c8kIk8nE4sWL6dixI46Ojvj5+bFu3TqLuA4fPkzr1q0xm82ULl2anj178vvvv9/txyQiIiIiIiJy3ykhLCIid93s2bNp1KgR/fr1Iy0tjbS0NCZMmEB0dLRFv+joaJ588kl8fX2NtvHjx9OxY0cOHTpEeHg4a9asYfDgwbz++uscPnyYl156iT59+rBt2zYAVq1axbvvvsuCBQs4duwYa9euJTAw8JbxTZgwgS5dunDw4EHatGlDaGgo586dA+DChQs89dRT1K1bl/j4eDZu3Mhvv/1Gly5dbjlnVlYWGRkZFoeIiIiIiIjIg0YJYRERuetcXV2xtbXF0dGRMmXKUKZMGfr06UNSUhLff/89cK0cxLJlywgPD7cY2717d/r06UPlypWpUKEC06dPJywsjAEDBlC1alWGDh1Kp06djN3GqamplClThpYtW1KhQgUaNmxIv379bhlfWFgY3bp1w9fXl6lTp5KZmWnENXfuXOrWrcvUqVOpVq0adevWZcmSJWzbto2jR48WOue0adNwdXU1Dm9v7//lEYqIiIiIiIjcE0oIi4jIfeHl5UXbtm1ZsmQJAF988QVZWVk8//zzFv2CgoIszhMTE2nSpIlFW5MmTUhMTATg+eef548//qBy5cr069ePNWvWcPXq1VvGUqtWLeOzk5MTLi4unD59GoADBw6wbds2zGazcVSrVg2A5OTkQuccNWoU6enpxnHq1KlbxiAiIiIiIiJSHJQQFhGR+6Zv376sWLGCP/74g+joaLp27Yqjo6NFHycnpzua09vbm6SkJObNm4eDgwMDBgzgySefJCcnp9Axf35RnclkIi8vD4DMzExCQkJISEiwOI4dO8aTTz5Z6Jx2dna4uLhYHCIiIiIiIiIPGpviDkBERP6ebG1tyc3NtWhr06YNTk5OzJ8/n40bN/LNN9/cdp6AgADi4uLo3bu30RYXF0f16tWNcwcHB0JCQggJCeGVV16hWrVqHDp0iHr16t1x3PXq1WPVqlX4+PhgY6N/JkVEREREROTvRd90RUTknvDx8WHPnj2kpKRgNptxd3fH2tqasLAwRo0ahZ+fH40aNbrtPMOGDaNLly7UrVuXli1b8sUXX7B69Wq2bNkCQExMDLm5uTz66KM4Ojry8ccf4+DgQMWKFf9S3K+88gqLFi2iW7duDB8+HHd3d44fP86KFStYvHgx1tbWf2leEZEHQUpU2+IOQURERESKmUpGiIjIPREZGYm1tTXVq1fH09OT1NRUACIiIsjOzqZPnz5FmqdDhw7Mnj2b6dOnU6NGDRYsWEB0dDTNmjUDwM3NjUWLFtGkSRNq1arFli1b+OKLL/Dw8PhLcXt5eREXF0dubi7PPPMMgYGBDBkyBDc3N6ys9M+miIiIiIiIPNxM+fn5+cUdhIiI/HPs3LmTFi1acOrUKUqXLl3c4dwzGRkZuLq6kp6ernrCIiIiIiIics8V9XuoSkaIiMh9kZWVxZkzZxg/fjzPP//83zoZLCIiIiIiIvKg0u++iojIfbF8+XIqVqzIhQsXePvtt4s7HBEREREREZF/JCWERUT+ZlJSUjCZTCQkJBR3KBbCwsLIzc1l3759lCtX7q7M16FDB+M8Pz+fF198EXd39wfy/kVEREREREQeBEoIi4jcgWbNmjFkyJDiDuOWvL29SUtLo2bNmvd8rXPnzjFkyBAqVqyIra0tXl5ehIeHGy+Qu582btxITEwM69evL/L9P6jJcxEREREREZF7RQlhEZFikJOTc8/mtra2pkyZMtjY3Nsy8efOneOxxx5jy5Yt/Otf/+L48eOsWLGC48eP06BBA06cOHFP1/+z5ORkypYtS+PGje/L/YuIPIx8Rm7AZ+SG4g5DRERERIqREsIiIkUUFhbGjh07mD17NiaTCZPJxM8//4yvry/Tp0+36JuQkIDJZOL48eMAmEwm5s+fz7PPPouTkxNTpkwhNzeXiIgIKlWqhIODA/7+/syePbvAmh06dGDq1KmULl0aNzc3Jk6cyNWrVxk2bBju7u6UL1+e6OhoY8yfd71u374dk8nE1q1bCQoKwtHRkcaNG5OUlGSx1ueff069evWwt7encuXKTJgwgatXrxb6PEaPHs2vv/7Kli1baN26NRUqVODJJ59k06ZNlChRgldeeeWWz/PAgQM0b94cZ2dnXFxcqF+/PvHx8QCMHz+eOnXqWPSfNWsWPj4+N50rLCyMV199ldTUVEwmk9Fv48aNPP7447i5ueHh4UG7du1ITk42xlWqVAmAunXrYjKZaNasmXFt8eLFBAQEYG9vT7Vq1Zg3b94t70dERERERETkYaCEsIhIEc2ePZtGjRrRr18/0tLSSEtLo0KFCoSHh1skZAGio6N58skn8fX1NdrGjx9Px44dOXToEOHh4eTl5VG+fHlWrlzJkSNHGDt2LG+88QaffvqpxVz//ve/+fXXX/nmm2+YOXMm48aNo127dpQsWZI9e/bQv39/XnrpJX755Zdbxj969GhmzJhBfHw8NjY2hIeHG9d27txJr169GDx4MEeOHGHBggXExMQwZcqUm86Vl5fHihUrCA0NpUyZMhbXHBwcGDBgAJs2beLcuXOFxhMaGkr58uXZu3cv+/btY+TIkZQoUeKW91CY2bNnM3HiRMqXL09aWhp79+4F4NKlSwwdOpT4+Hi2bt2KlZUVHTt2JC8vD4Dvv/8egC1btpCWlsbq1asBiI2NZezYsUyZMoXExESmTp3KmDFjWLp0aaExZGVlkZGRYXGIiIiIiIiIPGj0+7QiIkXk6uqKra0tjo6OFknQsLAwxo4dy/fff0/Dhg3Jyclh2bJlBXYNd+/enT59+li0TZgwwfhcqVIldu/ezaeffkqXLl2Mdnd3d+bMmYOVlRX+/v68/fbbXL58mTfeeAOAUaNGERUVxbfffssLL7xQaPxTpkyhadOmAIwcOZK2bdty5coV7O3tmTBhAiNHjqR3794AVK5cmUmTJjF8+HDGjRtXYK4zZ85w4cIFAgICbrpWQEAA+fn5HD9+nIYNG960T2pqKsOGDaNatWoA+Pn5FRr77bi6uuLs7GyUy7juueees+i3ZMkSPD09OXLkCDVr1sTT0xMADw8Pi3Hjxo1jxowZdOrUCbj2s7meKL/+jP5s2rRpFj9PERERERERkQeRdgiLiPyPvLy8aNu2LUuWLAHgiy++ICsri+eff96iX1BQUIGx77//PvXr18fT0xOz2czChQsLvJCtRo0aWFn9/1/XpUuXJjAw0Di3trbGw8OD06dP3zLOWrVqGZ/Lli0LYIw5cOAAEydOxGw2G8f1ndCXL18udM78/PxbrnndjfP2798fgKFDh9K3b19atmxJVFSURSmHu+XYsWN069aNypUr4+LiYpSSuNVL7y5dukRycjIREREWcU+ePPmWMY4aNYr09HTjOHXq1N2+HREREREREZH/mXYIi4jcBX379qVnz568++67REdH07VrVxwdHS36ODk5WZyvWLGCyMhIZsyYQaNGjXB2duadd95hz549Fv3+XEbBZDLdtO16GYTC3DjGZDIBGGMyMzOZMGGCsSP2Rvb29gXaPD09cXNzIzEx8aZrJSYmYjKZjJIZ1+sZA7i4uADXSmh0796dDRs28NVXXzFu3DhWrFhBx44dsbKyKpBs/isv4gsJCaFixYosWrQILy8v8vLyqFmzJtnZ2YWOyczMBGDRokU8+uijFtesra0LHWdnZ4ednd0dxygiIiIiIiJyPykhLCJyB2xtbcnNzS3Q3qZNG5ycnJg/fz4bN27km2++ue1ccXFxNG7cmAEDBhht92KXbFHUq1ePpKQki5rHt2JlZUWXLl2IjY1l4sSJFuUW/vjjD+bNm0dwcDDu7u4Ahc5btWpVqlatymuvvUa3bt2Ijo6mY8eOeHp68t///pf8/HwjeX1jUrkozp49S1JSEosWLeKJJ54A4Ntvv7XoY2trC2DxMy1dujReXl6cOHGC0NDQO1pTRERERERE5EGnhLCIyB3w8fFhz549pKSkYDabcXd3x8rKCmtra8LCwhg1ahR+fn40atTotnP5+fnx4YcfsmnTJipVqsRHH33E3r17qVSp0n24E0tjx46lXbt2VKhQgc6dO2NlZcWBAwc4fPgwkydPvumYqVOnsnXrVp5++mnefvttatasyc8//8ybb75JTk4O77//fqHr/fHHHwwbNozOnTtTqVIlfvnlF/bu3WvU/G3WrBlnzpzh7bffpnPnzmzcuJGvvvrK2F1cFCVLlsTDw4OFCxdStmxZUlNTGTlypEWfUqVK4eDgwMaNGylfvjz29va4uroyYcIEBg0ahKurK61atSIrK4v4+HjOnz/P0KFDixyDiMiDJiWqbXGHICIiIiLFTDWERUTuQGRkJNbW1lSvXh1PT0+LWrQRERFkZ2cXeHFcYV566SU6depE165defTRRzl79qzFbuH7KTg4mPXr1/P111/ToEEDHnvsMd59910qVqxY6BgPDw++++47mjdvzksvvUSVKlXo0qULVapUYe/evVSuXLnQsdbW1pw9e5ZevXpRtWpVunTpQuvWrY2XsgUEBDBv3jzef/99ateuzffff09kZOQd3ZOVlRUrVqxg37591KxZk9dee4133nnHoo+NjQ1z5sxhwYIFeHl50b59e+BaCZDFixcTHR1NYGAgTZs2JSYmpliS9SIiIiIiIiJ3kym/qG8EEhGRW9q5cyctWrTg1KlTlC5durjDkWKWkZGBq6sr6enpd7SzWUREREREROSvKOr3UJWMEBH5H2VlZXHmzBnGjx/P888/r2SwiIiIiIiIiDywVDJCROR/tHz5cipWrMiFCxd4++23izscEREREREREZFCKSEsIvI/CgsLIzc3l3379lGuXLniDucfbfz48dSpU6e4wxARERERERF5YCkhLCIiNGvWjCFDhtyXtWJiYnBzc7sva4mIiIiIiIiIJdUQFhGR28rPzyc3NxcbG/2zISLyMPMZuaG4Q3hopES1Le4QRERERO4J7RAWEfmHCwsLY8eOHcyePRuTyYTJZCImJgaTycRXX31F/fr1sbOz4+OPP8bKyor4+HiL8bNmzaJixYrk5eWxfft2TCYTGzZsoFatWtjb2/PYY49x+PBhALZv306fPn1IT0831ho/fjwA58+fp1evXpQsWRJHR0dat27NsWPHjHWu7yxeu3Ytfn5+2NvbExwczKlTpwrc00cffYSPjw+urq688MILXLx40bi2ceNGHn/8cdzc3PDw8KBdu3YkJycb11NSUjCZTKxevZrmzZvj6OhI7dq12b1799187CIiIiIiIiLFQglhEZF/uNmzZ9OoUSP69etHWloaaWlpeHt7AzBy5EiioqJITEzk2WefpWXLlkRHR1uMj46OJiwsDCur//8nZdiwYcyYMYO9e/fi6elJSEgIOTk5NG7cmFmzZuHi4mKsFRkZCVxLTMfHx7Nu3Tp2795Nfn4+bdq0IScnx5j38uXLTJkyhQ8//JC4uDguXLjACy+8YBFPcnIya9euZf369axfv54dO3YQFRVlXL906RJDhw4lPj6erVu3YmVlRceOHcnLy7OYZ/To0URGRpKQkEDVqlXp1q0bV69eLfQ5ZmVlkZGRYXGIiIiIiIiIPGiUEBYR+YdzdXXF1tYWR0dHypQpQ5kyZbC2tgZg4sSJPP3001SpUgV3d3f69u3L8uXLycrKAuCHH37g0KFD9OnTx2LOcePG8fTTTxMYGMjSpUv57bffWLNmDba2tri6umIymYy1zGYzx44dY926dSxevJgnnniC2rVrExsby3/+8x/Wrl1rzJuTk8PcuXNp1KgR9evXZ+nSpezatYvvv//e6JOXl0dMTAw1a9bkiSeeoGfPnmzdutW4/txzz9GpUyd8fX2pU6cOS5Ys4dChQxw5csTiHiIjI2nbti1Vq1ZlwoQJnDx5kuPHjxf6HKdNm4arq6txXE+qi4iIiIiIiDxIlBAWEZFCBQUFWZx36NABa2tr1qxZA1wr49C8eXN8fHws+jVq1Mj47O7ujr+/P4mJiYWuk5iYiI2NDY8++qjR5uHhUWCcjY0NDRo0MM6rVauGm5ubRR8fHx+cnZ2N87Jly3L69Gnj/NixY3Tr1o3KlSvj4uJixJ6ammoRU61atSzmACzm+bNRo0aRnp5uHDcrZSEiIiIiIiJS3JQQFhGRQjk5OVmc29ra0qtXL6Kjo8nOzmbZsmWEh4cXU3Q3V6JECYtzk8lkUQ4iJCSEc+fOsWjRIvbs2cOePXsAyM7OLnQek8kEUKCsxI3s7OxwcXGxOEREREREREQeNEoIi4gItra25ObmFqlv37592bJlC/PmzePq1at06tSpQJ/vvvvO+Hz+/HmOHj1KQEBAoWsFBARw9epVIzkLcPbsWZKSkqhevbrRdvXqVYuX2iUlJXHhwgVj7tu5Puebb75JixYtCAgI4Pz580UaKyIiIiIiIvJ3YFPcAYiISPHz8fFhz549pKSkYDabb7kTNiAggMcee4wRI0YQHh6Og4NDgT4TJ07Ew8OD0qVLM3r0aB555BE6dOhgrJWZmcnWrVupXbs2jo6O+Pn50b59e/r168eCBQtwdnZm5MiRlCtXjvbt2xvzlihRgldffZU5c+ZgY2PDwIEDeeyxx2jYsGGR7rNkyZJ4eHiwcOFCypYtS2pqKiNHjryzhyUi8hBLiWpb3CGIiIiISDHTDmERESEyMhJra2uqV6+Op6dngXq6fxYREUF2dnah5SKioqIYPHgw9evX57///S9ffPEFtra2ADRu3Jj+/fvTtWtXPD09efvttwGIjo6mfv36tGvXjkaNGpGfn8+XX35pUbrB0dGRESNG0L17d5o0aYLZbOaTTz4p8n1aWVmxYsUK9u3bR82aNXnttdd45513ijxeRERERERE5GFnys/Pzy/uIERE5OEyadIkVq5cycGDBy3at2/fTvPmzTl//jxubm53dc2YmBiGDBnChQsX7uq890pGRgaurq6kp6ernrCIiIiIiIjcc0X9HqodwiIiUmSZmZkcPnyYuXPn8uqrrxZ3OCIiIiIiIiJyh5QQFhGRIhs4cCD169enWbNmhZaLEBEREREREZEHl0pGiIiI3AMqGSEiIiIiIiL3k0pGiIg8BJo1a8aQIUOKO4x/LD1/ERERERER+aexKe4ARESkcPn5+eTm5mJj83D8dZ2bm4vJZMLKSv/fKCLyIPIZuaG4Q5BbSIlqW9whiIiIyD+AvrGLiBSTsLAwduzYwezZszGZTJhMJmJiYjCZTHz11VfUr18fOzs7vv32W5KTk2nfvj2lS5fGbDbToEEDtmzZYjGfj48PU6dOJTw8HGdnZypUqMDChQuN69nZ2QwcOJCyZctib29PxYoVmTZtWqHxbd++HZPJxIULF4y2hIQETCYTKSkpAMTExODm5sa6deuoXr06dnZ2pKamcv78eXr16kXJkiVxdHSkdevWHDt2zGL+uLg4mjVrhqOjIyVLliQ4OJjz588DsHHjRh5//HHc3Nzw8PCgXbt2JCcnG2NTUlIwmUysXr2a5s2b4+joSO3atdm9e7fR5+zZs3Tr1o1y5crh6OhIYGAgy5cvv+Xzv35fhw8fpnXr1pjNZkqXLk3Pnj35/fffi/aDFREREREREXmAKSEsIlJMZs+eTaNGjejXrx9paWmkpaXh7e0NwMiRI4mKiiIxMZFatWqRmZlJmzZt2Lp1K/v376dVq1aEhISQmppqMeeMGTMICgpi//79DBgwgJdffpmkpCQA5syZw7p16/j0009JSkoiNjYWHx+f//k+Ll++zFtvvcXixYv58ccfKVWqFGFhYcTHx7Nu3Tp2795Nfn4+bdq0IScnB7iWWG7RogXVq1dn9+7dfPvtt4SEhJCbmwvApUuXGDp0KPHx8WzduhUrKys6duxIXl6exdqjR48mMjKShIQEqlatSrdu3bh69SoAV65coX79+mzYsIHDhw/z4osv0rNnT77//vtbPv8LFy7w1FNPUbduXeLj49m4cSO//fYbXbp0ueVzyMrKIiMjw+IQERERERERedA8HL+DLCLyN+Tq6oqtrS2Ojo6UKVMGgJ9++gmAiRMn8vTTTxt93d3dqV27tnE+adIk1qxZw7p16xg4cKDR3qZNGwYMGADAiBEjePfdd9m2bRv+/v6kpqbi5+fH448/jslkomLFinflPnJycpg3b54R37Fjx1i3bh1xcXE0btwYgNjYWLy9vVm7di3PP/88b7/9NkFBQcybN8+Yp0aNGsbn5557zmKNJUuW4OnpyZEjR6hZs6bRHhkZSdu21369dsKECdSoUYPjx49TrVo1ypUrR2RkpNH31VdfZdOmTXz66ac0bNjwps8fYO7cudStW5epU6darO/t7c3Ro0epWrXqTZ/DtGnTmDBhwh0/PxEREREREZH7STuERUQeQEFBQRbnmZmZREZGEhAQgJubG2azmcTExAI7hGvVqmV8NplMlClThtOnTwPXSiQkJCTg7+/PoEGD+Prrr42+/fv3x2w2G8edsLW1tVg3MTERGxsbHn30UaPNw8MDf39/EhMTgf/fIVyYY8eO0a1bNypXroyLi4uxk/lW91u2bFkA435zc3OZNGkSgYGBuLu7Yzab2bRpU4E5/uzAgQNs27bN4nlUq1YNwKJsxZ+NGjWK9PR04zh16tQt1xEREREREREpDtohLCLyAHJycrI4j4yMZPPmzUyfPh1fX18cHBzo3Lkz2dnZFv1KlChhcW4ymYwyC/Xq1ePnn3/mq6++YsuWLXTp0oWWLVvy2WefMXHiRIvdtIDxYrj8/Hyj7XrJhxs5ODjwf+zdeVSV9fr//+cWZIaNAygmCiooKgqIA5KKIzjllHMqKjSYqSlOp3BWrCRFPZZpgXo0LTMzNbM4YkrOc0mmdAjP51CaKYgmIvD7w5/7205QKBWq12Otvda+7/v9vt7Xfds6rn35PtdtMBhKdH+2trb3vN69e3dq1qzJihUrqFatGvn5+TRs2PCe93snhzv3+9prrxEXF8eiRYvw9fXF3t6ecePG3RXjt7Kzs+nevTuvvPLKXdfuFJ0LY21tjbW19T1ji4iIiIiIiJQ2FYRFREqRlZWVqW/uvSQnJxMeHk6vXr2A20XLOy9AKwknJyf69+9P//79efLJJwkLC+Pnn3/G1dUVV1dXs7EuLi4AZGRkUKFCBeD2zt778fHx4datWxw4cMDUMuLSpUucOXOG+vXrA7d39iYmJhbaYuHO2BUrVtCqVSsA9u7dW+J7TU5OpkePHjz11FPA7ULxt99+a8oBCn/+AQEBfPDBB3h4eGBpqb8mRURERERE5K9Fv3RFREqRh4cHBw4cIC0tDQcHh7temnaHl5cXmzZtonv37hgMBqKjo4scW5TXX38dNzc3/P39KVeuHO+//z5Vq1bF2dm50PF16tTB3d2dGTNmMHfuXL799ltiY2Pvu46Xlxc9evQgMjKS5cuX4+joyJQpU3jsscfo0aMHcLu9gq+vL6NGjeLZZ5/FysqKXbt20bdvXypWrEilSpV46623cHNzIz09nSlTppToXu/ksXHjRr788ksqVKjA66+/zo8//mhWEP7t869YsSLPP/88K1asYODAgUyaNImKFSty7tw51q9fz8qVK7GwsChxLiIiZUXa/K6lnYKIiIiIlDL1EBYRKUVRUVFYWFhQv359XFxciuxv+/rrr1OhQgVatmxJ9+7dCQ0NJSAgoERrOTo6ml7m1rRpU9LS0ti+fbupNcRvlS9fnnfffZdvvvmGRo0a8corrzBnzpxirRUfH0+TJk3o1q0bQUFBFBQUsH37dlOLB29vb3bu3MmJEydo1qwZQUFBfPTRR1haWlKuXDnWr1/PkSNHaNiwIS+++CKvvfZaie4V4OWXXyYgIIDQ0FBCQkKoWrUqPXv2NBtT2POvVq0aycnJ5OXl0alTJ3x9fRk3bhzOzs5FPisRERERERGRPwtDwa+bQ4qIiMgDkZWVhdFoJDMzEycnp9JOR0RERERERP7iivs7VFudRERERERERERERP4mVBAWkT+VpKQkDAYDV65cKfacGTNm4OfnV+zxCQkJRfbVfdQMBgObN2++55jw8PC7WiE8LG+//TadOnV6JGuVFadPn6Z69epcu3attFMRERERERER+cNUEBaRMiskJIRx48aZnWvZsiUZGRkYjcbSSeoRy8jIoHPnzgCkpaVhMBg4fvy42Zi4uDgSEhIeei43btwgOjqa6dOnm53PysripZdeol69etjY2FC1alU6dOjApk2buNOVKDw8HIPBYPYJCwu753oZGRkMGjQIb29vypUrd9d/C0X59Vrly5enSpUqdOzYkXfeeafQF/EdO3aMvn37UqVKFWxsbPDy8iIyMpJvv/0WgPr169OiRQtef/31Yq0vIiIiIiIiUpZZlnYCIiIlYWVlRdWqVUs7jT+koKCAvLw8LC3v/z/BxbnXR1Uc37hxI05OTgQHB5vOXblyhccff5zMzEzmzJlD06ZNsbS0ZPfu3UyaNIl27dqZdluHhYURHx9vmmttbX3P9XJycnBxceHll19m4cKFJcr1zlp5eXn8+OOP7Nixg7Fjx7Jx40a2bNlievZbt26lT58+hIaGsnbtWmrXrs2FCxd4//33iY6OZsOGDQAMHz6cyMhIpk6dWqw/NxGR38NjyraHvkba/K4PfQ0RERERKdu0Q1hEyqTw8HB2795NXFycabdnWlpaoS0jVqxYgbu7O3Z2dvTq1YvXX3+9yJYPX3zxBeXLl+eHH34wOz9u3DhatWpVZD4ff/wxTZs2xcbGhsqVK9OrVy/TtTVr1hAYGIijoyNVq1Zl0KBBXLhwwXT9Ts6ffPIJTZo0wdramr179xISEsKYMWOYNGkSFStWpGrVqsyYMcNs3V+3jPD09ATA398fg8FASEiI6Vn9umVEceJeuXKFiIgIXFxccHJyol27dpw4caLI+wdYv3493bt3Nzv3j3/8g7S0NA4cOMCwYcOoX78+3t7eREZGcvz4cRwcHExjra2tqVq1qulToUKFe67n4eFBXFwcQ4cOLXHR+85ajz32GAEBAfzjH//go48+4pNPPjHtpr5+/TrDhw+nS5cubNmyhQ4dOuDp6Unz5s1ZsGABy5cvN8Xr2LEjP//8M7t37y5RHiIiIiIiIiJljQrCIlImxcXFERQURGRkJBkZGWRkZODu7n7XuOTkZJ599lnGjh3L8ePH6dixI3Pnzi0ybuvWralVqxZr1qwxncvNzWXt2rWMGDGi0Dnbtm2jV69edOnShWPHjpGYmEizZs3M5s+ePZsTJ06wefNm0tLSCA8PvyvOlClTmD9/PikpKTRq1AiAVatWYW9vz4EDB3j11VeZNWsWn332WaF5HDx4EIDPP/+cjIwMNm3aVOR93i9u3759uXDhAp988glHjhwhICCA9u3b8/PPPxcZc+/evQQGBpqO8/PzWb9+PYMHD6ZatWp3jXdwcDDbTZuUlISrqyt169blueee49KlS2bjQ0JCCn1uD0q7du1o3Lix6bl9+umn/PTTT0yaNKnQ8b/+RwUrKyv8/PzYs2fPQ8tPRERERERE5FHQ/+9VRMoko9GIlZUVdnZ292ybsGTJEjp37kxUVBQA3t7efPnll2zdurXIOSNHjiQ+Pp6JEycCt3f/3rhxg379+hU6fu7cuQwYMICZM2eazjVu3Nj0/deF5Fq1arF48WKaNm1Kdna22Q7ZWbNm0bFjR7PYjRo1MvXk9fLyYunSpSQmJt41DsDFxQWASpUq3beVxL3i7t27l4MHD3LhwgVT24YFCxawefNmNm7cyNNPP31XvCtXrpCZmWlW+P3pp5+4fPky9erVu2cucLuFQ+/evfH09CQ1NZV//OMfdO7cmX379mFhYQFAjRo1cHNzu2+sP6JevXqcPHkSgLNnz5rOFUe1atX4/vvvi7yek5NDTk6O6TgrK+sPZCoiIiIiIiLycGiHsIj8qZ05c8Zsty5w1/FvhYeHc+7cOfbv3w9AQkIC/fr1w97evtDxx48fp3379kXGO3LkCN27d6dGjRo4OjrSpk0bANLT083G/Xp37R13dgrf4ebmZtZu4ve6V9wTJ06QnZ1NpUqVcHBwMH3+85//kJqaWmi8X375BQAbGxvTuTsvjCuOAQMG8MQTT+Dr60vPnj3ZunUrhw4dIikpyTRm9erVxMTEFDvmnj17zPJfu3btfecUFBRgMBhKnD+Ara0t169fL/J6TEwMRqPR9ClsR7uIiIiIiIhIadMOYRH523F1daV79+7Ex8fj6enJJ598YlaY/C1bW9sir127do3Q0FDTS8lcXFxIT08nNDSUmzdvmo0trOBcvnx5s2ODwUB+fn7JbqgQ94qbnZ2Nm5tbofdcVO/lSpUqYTAYuHz5sumci4sLzs7OfPPNNyXOr1atWlSuXJlz587ds9h+L4GBgRw/ftx0XKVKlfvOSUlJMfVi9vb2BuCbb74hKCjovnN//vlnateuXeT1qVOnMn78eNNxVlaWisIiIiIiIiJS5miHsIiUWVZWVuTl5d1zTN26dTl06JDZud8eFyYiIoINGzbw1ltvUbt2bYKDg4sc26hRIxITEwu99s0333Dp0iXmz59Pq1atqFev3gPZ4VsYKysrgPs+k/sJCAjghx9+wNLSkjp16ph9KleuXOTa9evX5/Tp06Zz5cqVY8CAAaxdu5b//e9/d83Jzs7m1q1bhcb773//y6VLl/5QiwhbW1uz3B0dHe85/t///jenTp2iT58+AHTq1InKlSvz6quvFjr+1y8uBPjqq6/w9/cvMr61tTVOTk5mHxEREREREZGyRjuERaTM8vDw4MCBA6SlpeHg4EDFihXvGvPCCy/QunVrXn/9dbp3786///1vPvnkE1NbgKKEhobi5OTEnDlzmDVr1j3HTp8+nfbt21O7dm0GDBjArVu32L59O5MnT6ZGjRpYWVmxZMkSnn32Wb766itmz579h+67KK6urtja2rJjxw6qV6+OjY0NRqOxxHE6dOhAUFAQPXv25NVXX8Xb25v//e9/ppfnFdbaAm4/s7179zJu3DjTublz55KUlETz5s2ZO3cugYGBlC9fnj179hATE8OhQ4ewtLRk5syZ9OnTh6pVq5KamsqkSZOoU6cOoaGhplhDhw7lscceM2sbcWcHcHZ2NhcvXuT48eOm4vS95OTk8MMPP5CXl8ePP/7Ijh07iImJoVu3bgwdOhS4vWN75cqV9O3blyeeeIIxY8ZQp04dfvrpJ9577z3S09NZv349AGlpafzf//0fHTp0KPHzFhEprrT5XUs7BRERERH5G9AOYREps6KiorCwsKB+/fqmVgy/FRwczJtvvsnrr79O48aN2bFjBy+++KJZr9vClCtXjvDwcPLy8kwFwqKEhITw/vvvs2XLFvz8/GjXrh0HDx4EbrdNSEhI4P3336d+/frMnz+fBQsW/P6bvgdLS0sWL17M8uXLqVatGj169PhdcQwGA9u3b6d169YMHz4cb29vBgwYwPfff3/PtgsjR45k+/btZGZmms5VrFiR/fv389RTTzFnzhz8/f1p1aoV7777Lq+99hpGoxELCwtOnjzJE088gbe3NyNHjqRJkybs2bPH9FI7uN1zOSMjw2xNf39//P39OXLkCOvWrcPf358uXbrc9x537NiBm5sbHh4ehIWFsWvXLhYvXsxHH31keokdQI8ePfjyyy8pX748gwYNol69egwcOJDMzEzmzJljGvfuu+/SqVMnatasWaxnLCIiIiIiIlJWGQpK+lYdEZEyLjIykm+++YY9e/bcc9zIkSO5ePEiW7ZseUSZ/fn17duXgIAApk6dWtqpPDI3b97Ey8uLdevW3bO1yG9lZWVhNBrJzMxU+wgRERERERF56Ir7O1QtI0TkT2/BggV07NgRe3t7PvnkE1atWsWyZcuKHJ+ZmcmpU6dYt26disEl9Nprr/Hxxx+XdhqPVHp6Ov/4xz9KVAwWERERERERKau0Q1hE/vT69etHUlISV69epVatWrzwwgs8++yzRY4PCQnh4MGDPPPMMyxcuPARZip/J9ohLCIiIiIiIo9ScX+HqiAsIiJ/WFJSEm3btuXy5cs4OzuXdjpmEhISGDduHFeuXHmk66ogLCIiIiIiIo9ScX+H6qVyIiJSYiEhIYwbN6600yiW/v378+2335Z2GiIiIiIiIiJlgnoIi4hImVRQUEBeXh6Wln/srypbW1tsbW0fUFYiIn9uHlO2lXYKRUqb37W0UxARERH5W9AOYRERKZHw8HB2795NXFwcBoMBg8FAWloaAEeOHCEwMBA7OztatmzJmTNnAEhLS6NcuXIcPnzYLNaiRYuoWbMm+fn5JCUlYTAY+OSTT2jSpAnW1tbs3buXnJwcxowZg6urKzY2Njz++OMcOnQIgBs3btCgQQOefvppU8zU1FQcHR155513gNstI37dxmLGjBn4+fmxZs0aPDw8MBqNDBgwgKtXr5rG5OfnExMTg6enJ7a2tjRu3JiNGzc+jMcpIiIiIiIi8kipICwiIiUSFxdHUFAQkZGRZGRkkJGRgbu7OwAvvfQSsbGxHD58GEtLS0aMGAGAh4cHHTp0ID4+3ixWfHw84eHhlCv3//46mjJlCvPnzyclJYVGjRoxadIkPvjgA1atWsXRo0epU6cOoaGh/Pzzz9jY2LB27VpWrVrFRx99RF5eHk899RQdO3Y0rV2Y1NRUNm/ezNatW9m6dSu7d+9m/vz5pusxMTGsXr2aN998k6+//poXX3yRp556it27dz/IRykiIiIiIiLyyKkgLCIiJWI0GrGyssLOzo6qVatStWpVLCwsAJg7dy5t2rShfv36TJkyhS+//JIbN24AEBERwbvvvktOTg4AR48e5dSpUwwfPtws/qxZs+jYsSO1a9fG2tqaN954g9dee43OnTtTv359VqxYga2tLW+//TYAfn5+zJkzh4iICMaNG8f333/PihUr7nkP+fn5JCQk0LBhQ1q1asWQIUNITEwEICcnh3nz5vHOO+8QGhpKrVq1CA8P56mnnmL58uVFxszJySErK8vsIyIiIiIiIlLWqCAsIiIPTKNGjUzf3dzcALhw4QIAPXv2xMLCgg8//BC43cqhbdu2eHh4mMUIDAw0fU9NTSU3N5fg4GDTufLly9OsWTNSUlJM5yZMmIC3tzdLly7lnXfeoVKlSvfM08PDA0dHR7Nc7+R57tw5rl+/TseOHXFwcDB9Vq9eTWpqapExY2JiMBqNps+dXdMiIiIiIiIiZYkKwiIi8sCUL1/e9N1gMAC3d+MCWFlZMXToUOLj47l58ybr1q0rtK2Dvb19ide9cOEC3377LRYWFpw9e7ZEed7J9U6e2dnZAGzbto3jx4+bPqdPn75nH+GpU6eSmZlp+pw/f77E9yEiIiIiIiLysP2xV7eLiMjfkpWVFXl5eSWeFxERQcOGDVm2bBm3bt2id+/e9xxfu3ZtrKysSE5OpmbNmgDk5uZy6NAhxo0bZxo3YsQIfH19GTlyJJGRkXTo0AEfH58S5wdQv359rK2tSU9Pp02bNsWeZ21tjbW19e9aU0RERERERORRUUFYRERKzMPDgwMHDpCWloaDg4Npd+39+Pj40KJFCyZPnsyIESOwtbW953h7e3uee+45Jk6cSMWKFalRowavvvoq169fZ+TIkQD885//ZN++fZw8eRJ3d3e2bdvG4MGD2b9/P1ZWViW+N0dHR6KionjxxRfJz8/n8ccfJzMzk+TkZJycnBg2bFiJY4qIlBVp87uWdgoiIiIiUsrUMkJEREosKioKCwsL6tevj4uLC+np6cWeO3LkSG7evFlou4jCzJ8/nz59+jBkyBACAgI4d+4cn376KRUqVOCbb75h4sSJLFu2zNSzd9myZfz0009ER0f/rnsDmD17NtHR0cTExODj40NYWBjbtm3D09Pzd8cUERERERERKQsMBQUFBaWdhIiI/H3Mnj2b999/n5MnT5Z2Kg9VVlYWRqORzMxMnJycSjsdERERERER+Ysr7u9Q7RAWEZFHIjs7m6+++oqlS5fywgsvlHY6IiIiIiIiIn9LKgiLiMgjMXr0aJo0aUJISEix20WIiIiIiIiIyIOlgrCIiPwhSUlJGAwGrly5cs9xCQkJ5OTksGHDBiwsLB5NchQ/PxEREREREZG/AxWERUSkREJCQhg3blxpp1FsLVu2JCMjA6PRWNqpiIiIiIiIiJQ6y9JOQERE/n5u3ryJlZXVI1nLysqKqlWrPpK1RETKOo8p20o7BZHfJW1+19JOQURE5C9DO4RFRKTYwsPD2b17N3FxcRgMBgwGA2lpaQAcOXKEwMBA7OzsaNmyJWfOnDHNmzFjBn5+fqxcuRJPT09sbGwAuHLlChEREbi4uODk5ES7du04ceKE2ZpvvPEGtWvXxsrKirp167JmzRqz6waDgZUrV9KrVy/s7Ozw8vJiy5Ytpuu/bRmRkJCAs7Mzn376KT4+Pjg4OBAWFkZGRoZZ3JUrV+Lj44ONjQ316tVj2bJlD+oxioiIiIiIiJQaFYRFRKTY4uLiCAoKIjIykoyMDDIyMnB3dwfgpZdeIjY2lsOHD2NpaXnXi+POnTvHBx98wKZNmzh+/DgAffv25cKFC3zyySccOXKEgIAA2rdvz88//wzAhx9+yNixY5kwYQJfffUVzzzzDMOHD2fXrl1msWfOnEm/fv04efIkXbp0YfDgwaYYhbl+/ToLFixgzZo1fPHFF6SnpxMVFWW6vnbtWqZNm8bcuXNJSUlh3rx5REdHs2rVqgfxGEVERERERERKjVpGiIhIsRmNRqysrLCzszO1Yfjmm28AmDt3Lm3atAFgypQpdO3alRs3bph2A9+8eZPVq1fj4uICwN69ezl48CAXLlzA2toagAULFrB582Y2btzI008/zYIFCwgPD2fUqFEAjB8/nv3797NgwQLatm1ryis8PJyBAwcCMG/ePBYvXszBgwcJCwsr9D5yc3N58803qV27NgCjR49m1qxZpuvTp08nNjaW3r17A+Dp6cnp06dZvnw5w4YNKzRmTk4OOTk5puOsrKxiP1cRERERERGRR0U7hEVE5IFo1KiR6bubmxsAFy5cMJ2rWbOmqRgMcOLECbKzs6lUqRIODg6mz3/+8x9SU1MBSElJITg42Gyd4OBgUlJSilzb3t4eJycns7V/y87OzlQMvpPvnfHXrl0jNTWVkSNHmuU1Z84cU16FiYmJwWg0mj53dk6LiIiIiIiIlCXaISwiIg9E+fLlTd8NBgMA+fn5pnP29vZm47Ozs3FzcyMpKemuWM7Ozr977Tvr/3rt4owvKCgw5QWwYsUKmjdvbjbOwsKiyJhTp05l/PjxpuOsrCwVhUVERERERKTMUUFYRERKxMrKiry8vD8cJyAggB9++AFLS0s8PDwKHePj40NycrJZm4bk5GTq16//h9cvSpUqVahWrRrfffcdgwcPLvY8a2trU+sLERERERERkbJKBWERESkRDw8PDhw4QFpaGg4ODvfciXsvHTp0ICgoiJ49e/Lqq6/i7e3N//73P7Zt20avXr0IDAxk4sSJ9OvXD39/fzp06MDHH3/Mpk2b+Pzzzx/wXZmbOXMmY8aMwWg0EhYWRk5ODocPH+by5ctmu4BFRP5s0uZ3Le0URERERKSUqYewiIiUSFRUFBYWFtSvXx8XFxfS09N/VxyDwcD27dtp3bo1w4cPx9vbmwEDBvD9999TpUoVAHr27ElcXBwLFiygQYMGLF++nPj4eEJCQh7gHd0tIiKClStXEh8fj6+vL23atCEhIQFPT8+Huq6IiIiIiIjIw2YouNM0UURERB6YrKwsjEYjmZmZODk5lXY6IiIiIiIi8hdX3N+h2iEsIiIiIiIiIiIi8jehgrCIiIiIiIiIiIjI34QKwiIi8peWlpaGwWDg+PHjpZ2KiIiIiIiISKlTQVhERB65kJAQxo0b90jWcnd3JyMjg4YNGz6S9URERERERETKMsvSTkBERORhuXnzJlZWVlStWrW0UxERKRM8pmx7IHHS5nd9IHFERERE5NHTDmEREXmkwsPD2b17N3FxcRgMBgwGA6mpqYwcORJPT09sbW2pW7cucXFxZvMK21Xcs2dPwsPDTcceHh7Mnj2boUOH4uTkxNNPP31Xy4ikpCQMBgOJiYkEBgZiZ2dHy5YtOXPmjFnsjz76iICAAGxsbKhVqxYzZ87k1q1bD+ORiIiIiIiIiDwyKgiLiMgjFRcXR1BQEJGRkWRkZJCRkUH16tWpXr0677//PqdPn2batGn84x//4L333itx/AULFtC4cWOOHTtGdHR0keNeeuklYmNjOXz4MJaWlowYMcJ0bc+ePQwdOpSxY8dy+vRpli9fTkJCAnPnzv1d9ywiIiIiIiJSVqhlhIiIPFJGoxErKyvs7OzMWjnMnDnT9N3T05N9+/bx3nvv0a9fvxLFb9euHRMmTDAdp6WlFTpu7ty5tGnTBoApU6bQtWtXbty4gY2NDTNnzmTKlCkMGzYMgFq1ajF79mwmTZrE9OnTC42Xk5NDTk6O6TgrK6tEeYuIiIiIiIg8CioIi4hImfDPf/6Td955h/T0dH755Rdu3ryJn59fieMEBgYWa1yjRo1M393c3AC4cOECNWrU4MSJEyQnJ5vtCM7Ly+PGjRtcv34dOzu7u+LFxMSYFbVFREREREREyiIVhEVEpNStX7+eqKgoYmNjCQoKwtHRkddee40DBw6YxpQrV46CggKzebm5uXfFsre3L9aa5cuXN303GAwA5OfnA5Cdnc3MmTPp3bv3XfNsbGwKjTd16lTGjx9vOs7KysLd3b1YuYiIiIiIiIg8KioIi4jII2dlZUVeXp7pODk5mZYtWzJq1CjTudTUVLM5Li4uZGRkmI7z8vL46quvaNu27QPPLyAggDNnzlCnTp1iz7G2tsba2vqB5yIiIiIiIiLyIKkgLCIij5yHhwcHDhwgLS0NBwcHvLy8WL16NZ9++imenp6sWbOGQ4cO4enpaZrTrl07xo8fz7Zt26hduzavv/46V65ceSj5TZs2jW7dulGjRg2efPJJypUrx4kTJ/jqq6+YM2fOQ1lTRORRSJvftbRTEBEREZFSVq60ExARkb+fqKgoLCwsqF+/Pi4uLoSGhtK7d2/69+9P8+bNuXTpktluYYARI0YwbNgwhg4dSps2bahVq9ZD2R0MEBoaytatW9m5cydNmzalRYsWLFy4kJo1az6U9UREREREREQeFUPBbxsyioiIyB+WlZWF0WgkMzMTJyen0k5HRERERERE/uKK+ztUO4RFRERERERERERE/iZUEBYRERERERERERH5m1BBWERE/jSSkpIwGAz3fJlcQkICzs7OpuMZM2bg5+f30HMTERERERER+TNQQVhERP40WrZsSUZGBkajsdhzoqKiSExMfIhZiYiIiIiIiPx5WJZ2AiIi8vdSUFBAXl4elpYl/yvIysqKqlWrlmiOg4MDDg4OJV5LRORh85iy7ZGvmTa/6yNfU0RERETKFu0QFhERNm7ciK+vL7a2tlSqVIkOHTpw7do1wsPD6dmzJzNnzsTFxQUnJyeeffZZbt68aZqbn59PTEwMnp6e2Nra0rhxYzZu3Gi6fqfNwyeffEKTJk2wtrZm7969hISE8MILLzBu3DgqVKhAlSpVWLFiBdeuXWP48OE4OjpSp04dPvnkk7ti/bplREJCAjVq1MDOzo5evXpx6dIls3v7bcuIO/e0YMEC3NzcqFSpEs8//zy5ubmmMTk5OURFRfHYY49hb29P8+bNSUpKenAPXERERERERKSUqCAsIvI3l5GRwcCBAxkxYgQpKSkkJSXRu3dvCgoKAEhMTDSdf/fdd9m0aRMzZ840zY+JiWH16tW8+eabfP3117z44os89dRT7N6922ydKVOmMH/+fFJSUmjUqBEAq1atonLlyhw8eJAXXniB5557jr59+9KyZUuOHj1Kp06dGDJkCNevXy809wMHDjBy5EhGjx7N8ePHadu2LXPmzLnvPe/atYvU1FR27drFqlWrSEhIICEhwXR99OjR7Nu3j/Xr13Py5En69u1LWFgYZ8+eLTJmTk4OWVlZZh8RERERERGRssZQcOcXv4iI/C0dPXqUJk2akJaWRs2aNc2uhYeH8/HHH3P+/Hns7OwAePPNN5k4cSKZmZnk5uZSsWJFPv/8c4KCgkzzIiIiuH79OuvWrSMpKYm2bduyefNmevToYRoTEhJCXl4ee/bsASAvLw+j0Ujv3r1ZvXo1AD/88ANubm7s27ePFi1amGJdvnwZZ2dnBg0aRGZmJtu2/b//2/WAAQPYsWOHaRfxjBkz2Lx5M8ePHzfdU1JSEqmpqVhYWADQr18/ypUrx/r160lPT6dWrVqkp6dTrVo1U9wOHTrQrFkz5s2bV+hznDFjhlmh/I7MzEycnJyK9WchIn8vahkhIiIiIg9SVlYWRqPxvr9DtUNYRORvrnHjxrRv3x5fX1/69u3LihUruHz5stn1O8VggKCgILKzszl//jznzp3j+vXrdOzY0dSr18HBgdWrV5Oammq2TmBg4F1r39kpDGBhYUGlSpXw9fU1natSpQoAFy5cKDT3lJQUmjdvbnbu14XpojRo0MBUDAZwc3MzrXHq1Cny8vLw9vY2u6fdu3ffdU+/NnXqVDIzM02f8+fP3zcPERERERERkUdNL5UTEfmbs7Cw4LPPPuPLL79k586dLFmyhJdeeokDBw7cd252djYA27Zt47HHHjO7Zm1tbXZsb29/1/zy5cubHRsMBrNzBoMBuN2n+EEqbN07a2RnZ2NhYcGRI0fMisbAPV9OZ21tfdc9i4iIiIiIiJQ1KgiLiAgGg4Hg4GCCg4OZNm0aNWvW5MMPPwTgxIkT/PLLL9ja2gKwf/9+HBwccHd3p2LFilhbW5Oenk6bNm0eed4+Pj53Fa7379//h2L6+/uTl5fHhQsXaNWq1R+KJSIiIiIiIlLWqCAsIvI3d+DAARITE+nUqROurq4cOHCAixcv4uPjw8mTJ7l58yYjR47k5ZdfJi0tjenTpzN69GjKlSuHo6MjUVFRvPjii+Tn5/P444+TmZlJcnIyTk5ODBs27KHmPmbMGIKDg1mwYAE9evTg008/ZceOHX8opre3N4MHD2bo0KHExsbi7+/PxYsXSUxMpFGjRnTtqv6bIvJgqJ+viIiIiJQG9RAWEfmbc3Jy4osvvqBLly54e3vz8ssvExsbS+fOnQFo3749Xl5etG7dmv79+/PEE08wY8YM0/zZs2cTHR1NTEwMPj4+hIWFsW3bNjw9PR967i1atGDFihXExcXRuHFjdu7cycsvv/yH48bHxzN06FAmTJhA3bp16dmzJ4cOHaJGjRoPIGsRERERERGR0mMoKCgoKO0kRESkbAoPD+fKlSts3ry5tFP50ynu211FREREREREHoTi/g7VDmERERERERERERGRvwkVhEVERERERERERET+JlQQFpG/nfDwcHr27FnqMR62kJAQxo0b94diJCQkPNR2EQkJCTg7O5ude+utt3B3d6dcuXIsWrToD6+RlpaGwWDg+PHjRY5JSkrCYDBw5cqVP7yeiIiIiIiISFmmgrCIPFAXL17kueeeo0aNGlhbW1O1alVCQ0NJTk5+5LkUpxD4Z/B7C7ubNm1i9uzZDz6hhygrK4vRo0czefJk/u///o+nn376D8d0d3cnIyODhg0bPoAMRURERERERP7cLEs7ARH5a+nTpw83b95k1apV1KpVix9//JHExEQuXbpU2qn97VSsWLG0Uyix9PR0cnNz6dq1K25ubg8kpoWFBVWrVn0gsURE/uw8pmwr7RSkCGnzu5Z2CiIiIvI3oR3CIvLAXLlyhT179vDKK6/Qtm1batasSbNmzZg6dSpPPPFEkfPu7OR97733aNWqFba2tjRt2pRvv/2WQ4cOERgYiIODA507d+bixYtmc1euXImPjw82NjbUq1ePZcuWma55enoC4O/vj8FgICQkxGzuggULcHNzo1KlSjz//PPk5uYCMGvWrEJ3k/r5+REdHV3oPeTn5/Pqq69Sp04drK2tqVGjBnPnzgWgXbt2jB492mz8xYsXsbKyIjExEYBly5bh5eWFjY0NVapU4cknnwRut6bYvXs3cXFxGAwGDAYDaWlpAHz11Vd07twZBwcHqlSpwpAhQ/jpp59Ma/x2Z7GHhwfz5s1jxIgRODo6UqNGDd566y2zvM6fP0+/fv1wdnamYsWK9OjRw7ReYS5fvszgwYNxcXHB1tYWLy8v4uPjgcLbMBw/ftzsHn4tISEBX19fAGrVqmU27o033qB27dpYWVlRt25d1qxZY5o3YsQIGjVqRE5ODgA3b97E39+foUOHAoXvFN++fTve3t7Y2trStm3bQvPZu3ev6b9Hd3d3xowZw7Vr14p8FiIiIiIiIiJ/BioIi8gD4+DggIODA5s3bzYV50pi+vTpvPzyyxw9ehRLS0sGDRrEpEmTiIuLY8+ePZw7d45p06aZxq9du5Zp06Yxd+5cUlJSmDdvHtHR0axatQqAgwcPAvD555+TkZHBpk2bTHN37dpFamoqu3btYtWqVSQkJJCQkADcLjCmpKRw6NAh0/hjx45x8uRJhg8fXmjuU6dOZf78+URHR3P69GnWrVtHlSpVAIiIiGDdunVmz+Rf//oXjz32GO3atePw4cOMGTOGWbNmcebMGXbs2EHr1q0BiIuLIygoiMjISDIyMsjIyMDd3Z0rV67Qrl07/P39OXz4MDt27ODHH3+kX79+93zGsbGxBAYGcuzYMUaNGsVzzz3HmTNnAMjNzSU0NBRHR0f27NlDcnIyDg4OhIWFcfPmzULj3bnfTz75hJSUFN544w0qV658zxyK0r9/fz7//HPg9p/dnXv98MMPGTt2LBMmTOCrr77imWeeYfjw4ezatQuAxYsXc+3aNaZMmQLASy+9xJUrV1i6dGmh65w/f57evXvTvXt3jh8/TkREhGnuHampqYSFhdGnTx9OnjzJhg0b2Lt3712F/V/LyckhKyvL7CMiIiIiIiJS1qhlhIg8MJaWliQkJBAZGcmbb75JQEAAbdq0YcCAATRq1Oi+86OioggNDQVg7NixDBw4kMTERIKDgwEYOXKkqWgLtwvIsbGx9O7dG7i9I/j06dMsX76cYcOG4eLiAkClSpXuahlQoUIFli5dioWFBfXq1aNr164kJiYSGRlJ9erVCQ0NJT4+nqZNmwIQHx9PmzZtqFWr1l15X716lbi4OJYuXcqwYcMAqF27No8//jgAvXv3ZvTo0Xz00Uemgm1CQgLh4eEYDAbS09Oxt7enW7duODo6UrNmTfz9/QEwGo1YWVlhZ2dndg9Lly7F39+fefPmmc698847uLu78+233+Lt7V3oM+7SpQujRo0CYPLkySxcuJBdu3ZRt25dNmzYQH5+PitXrsRgMJju29nZmaSkJDp16nRXvPT0dPz9/QkMDARu70L+vWxtbalUqRIALi4upvtdsGAB4eHhprzHjx/P/v37WbBgAW3btsXBwYF//etftGnTBkdHRxYtWsSuXbtwcnIqdJ07u41jY2MBqFu3LqdOneKVV14xjYmJiWHw4MGmHdZeXl4sXryYNm3a8MYbb2BjY3NX3JiYGGbOnPm7719ERERERETkUdAOYRF5oPr06cP//vc/tmzZQlhYGElJSQQEBJgKuc8++6xpJ7GDg4PZ3F8Xje/srr3TQuDOuQsXLgBw7do1UlNTGTlypFm8OXPmkJqaet88GzRogIWFhenYzc3NFBsgMjKSd999lxs3bnDz5k3WrVvHiBEjCo2VkpJCTk4O7du3L/S6jY0NQ4YM4Z133gHg6NGjfPXVV4SHhwPQsWNHatasSa1atRgyZAhr167l+vXr98z/xIkT7Nq1y+ze69WrB3DP+//1MzYYDFStWtV03ydOnODcuXM4OjqaYlasWJEbN24UGfO5555j/fr1+Pn5MWnSJL788st75v17pKSkmP5R4I7g4GBSUlJMx0FBQURFRTF79mwmTJhgKsYXFa958+Zm54KCgsyOT5w4QUJCgtnzDQ0NJT8/n//85z+Fxp06dSqZmZmmz/nz50t6qyIiIiIiIiIPnXYIi8gDZ2NjQ8eOHenYsSPR0dFEREQwffp0wsPDmTVrFlFRUYXOK1++vOn7nR2qvz2Xn58PQHZ2NgArVqy4q7j360JvUX4d97exAbp37461tTUffvghVlZW5Obmmvr6/patre1914uIiMDPz4///ve/xMfH065dO2rWrAmAo6MjR48eJSkpiZ07dzJt2jRmzJjBoUOHcHZ2LjRednY23bt3N9vVese9XsZ2r/vOzs6mSZMmrF279q55d3Zb/1bnzp35/vvv2b59O5999hnt27fn+eefZ8GCBZQrd/vfHAsKCkzj7/RpftDy8/NJTk7GwsKCc+fO/eF42dnZPPPMM4wZM+auazVq1Ch0jrW1NdbW1n94bREREREREZGHSQVhEXno6tevz+bNmwFwdXXF1dX1D8esUqUK1apV47vvvmPw4MGFjrGysgIgLy+vxPEtLS0ZNmwY8fHxWFlZMWDAgCILv15eXtja2pKYmEhEREShY3x9fQkMDGTFihWsW7furv62lpaWdOjQgQ4dOjB9+nScnZ3597//Te/evbGysrrrHgICAvjggw/w8PDA0vLB/E95QEAAGzZswNXVtch2C4VxcXFh2LBhDBs2jFatWjFx4kQWLFhgKiJnZGRQoUIFALMXuxWXj48PycnJpnYcAMnJydSvX990/Nprr/HNN9+we/duU7uPovo9+/j4sGXLFrNz+/fvNzsOCAjg9OnT1KlTp8T5ioiIiIiIiJRlKgiLyANz6dIl+vbty4gRI2jUqBGOjo4cPnyYV199lR49ejzw9WbOnMmYMWMwGo2EhYWRk5PD4cOHuXz5MuPHj8fV1RVbW1t27NhB9erVsbGxwWg0Fjt+REQEPj4+wO0CZFFsbGyYPHkykyZNwsrKiuDgYC5evMjXX3/NyJEjzeKNHj0ae3t7evXqZTq/detWvvvuO1q3bk2FChXYvn07+fn51K1bF7jdl/fAgQOkpaWZ2jg8//zzrFixgoEDBzJp0iQqVqzIuXPnWL9+PStXrizWLunfGjx4MK+99ho9evRg1qxZVK9ene+//55NmzYxadIkqlevftecadOm0aRJExo0aEBOTg5bt241PbM6derg7u7OjBkzmDt3Lt9++62pb29JTJw4kX79+uHv70+HDh34+OOP2bRpk+kFdMeOHWPatGls3LiR4OBgXn/9dcaOHVtkz+dnn32W2NhYJk6cSEREBEeOHDHrTQ23+yu3aNGC0aNHExERgb29PadPn+azzz4r8mV1IiJ/Bmnzu5Z2CiIiIiJSytRDWEQeGAcHB5o3b87ChQtp3bo1DRs2JDo6msjIyIdSRIuIiGDlypXEx8fj6+tLmzZtSEhIwNPTE7i963bx4sUsX76catWqlbgo7eXlRcuWLalXr95dbSl+Kzo6mgkTJjBt2jR8fHzo37+/WU9igIEDB2JpacnAgQPNXkrm7OzMpk2baNeuHT4+Prz55pu8++67NGjQALj9sj0LCwvq16+Pi4sL6enpVKtWjeTkZPLy8ujUqRO+vr6MGzcOZ2dnU6uGkrKzs+OLL76gRo0a9O7dGx8fH0aOHMmNGzeK3DFsZWXF1KlTadSoEa1bt8bCwoL169cDt9tTvPvuu3zzzTc0atSIV155hTlz5pQ4r549exIXF8eCBQto0KABy5cvJz4+npCQEG7cuMFTTz1FeHg43bt3B+Dpp5+mbdu2DBkypNDd4TVq1OCDDz5g8+bNNG7cmDfffNPs5Xxwu9fy7t27+fbbb2nVqhX+/v5MmzaNatWqlTh/ERERERERkbLEUPDr5o4iImJSUFCAl5cXo0aNYvz48X84XlpaGrVr1+bQoUMEBAQ8gAylLMvKysJoNJKZmVmiFhwiIiIiIiIiv0dxf4eqZYSISCEuXrzI+vXr+eGHH4rsRVtcubm5XLp0iZdffpkWLVqoGCwiIiIiIiIipUYFYRGRQri6ulK5cmXeeust0wvRfq/k5GTatm2Lt7c3GzdufEAZioiIiIiIiIiUnArCIiKFeJDddEJCQh5ovAcpPDycK1eusHnz5lKN8bCFhITg5+fHokWLSjsVERERERERkVKll8qJiDxEFy9e5LnnnqNGjRpYW1tTtWpVQkNDSU5OfqR5pKWlYTAYOH78+CNd90ELCQlh3LhxJZ63adMmZs+e/eATEhEREREREfmT0Q5hEZGHqE+fPty8eZNVq1ZRq1YtfvzxRxITE7l06VJpp/a3UrFixdJOQUSkTPCYsq20U5D7SJvftbRTEBERkb847RAWEXlIrly5wp49e3jllVdo27YtNWvWpFmzZkydOpUnnnii0Dl3dvK+9957tGrVCltbW5o2bcq3337LoUOHCAwMxMHBgc6dO3Px4kWzuStXrsTHxwcbGxvq1avHsmXLTNc8PT0B8Pf3x2AwEBISYjZ3wYIFuLm5UalSJZ5//nlyc3MBmDVrFg0bNrwrTz8/P6Kjowu9h/z8fF599VXq1KmDtbU1NWrUYO7cuQC0a9eO0aNHm42/ePEiVlZWJCYmArBs2TK8vLywsbGhSpUqPPnkk8Dt1hS7d+8mLi4Og8GAwWAgLS0NgK+++orOnTvj4OBAlSpVGDJkCD/99JNpjd/uLPbw8GDevHmMGDECR0dHatSowVtvvWWW1/nz5+nXrx/Ozs5UrFiRHj16mNYTERERERER+bNSQVhE5CFxcHDAwcGBzZs3k5OTU6K506dP5+WXX+bo0aNYWloyaNAgJk2aRFxcHHv27OHcuXNMmzbNNH7t2rVMmzaNuXPnkpKSwrx584iOjmbVqlUAHDx4EIDPP/+cjIwMNm3aZJq7a9cuUlNT2bVrF6tWrSIhIYGEhAQARowYQUpKCocOHTKNP3bsGCdPnmT48OGF5j516lTmz59PdHQ0p0+fZt26dVSpUgWAiIgI1q1bZ/Y8/vWvf/HYY4/Rrl07Dh8+zJgxY5g1axZnzpxhx44dtG7dGoC4uDiCgoKIjIwkIyODjIwM3N3duXLlCu3atcPf35/Dhw+zY8cOfvzxR/r163fPZxwbG0tgYCDHjh1j1KhRPPfcc5w5cwaA3NxcQkNDcXR0ZM+ePSQnJ+Pg4EBYWBg3b94sNF5OTg5ZWVlmHxEREREREZGyRgVhEZGHxNLSkoSEBFatWoWzszPBwcH84x//4OTJk/edGxUVRWhoKD4+PowdO5YjR44QHR1NcHAw/v7+jBw5kl27dpnGT58+ndjYWHr37o2npye9e/fmxRdfZPny5QC4uLgAUKlSJapWrWrWQqFChQosXbqUevXq0a1bN7p27WrarVu9enVCQ0OJj483jY+Pj6dNmzbUqlXrrryvXr1KXFwcr776KsOGDaN27do8/vjjREREANC7d28APvroI9OchIQEwsPDMRgMpKenY29vT7du3ahZsyb+/v6MGTMGAKPRiJWVFXZ2dlStWpWqVatiYWHB0qVL8ff3Z968edSrVw9/f3/eeecddu3axbffflvkM+7SpQujRo2iTp06TJ48mcqVK5ue6YYNG8jPz2flypX4+vri4+NDfHw86enpJCUlFRovJiYGo9Fo+ri7uxe5toiIiIiIiEhpUUFYROQh6tOnD//73//YsmULYWFhJCUlERAQQEJCAs8++6xpF7GDg4PZvEaNGpm+39ld6+vra3buwoULAFy7do3U1FRGjhxpFm/OnDmkpqbeN8cGDRpgYWFhOnZzczPFBoiMjOTdd9/lxo0b3Lx5k3Xr1jFixIhCY6WkpJCTk0P79u0LvW5jY8OQIUN45513ADh69ChfffUV4eHhAHTs2JGaNWtSq1YthgwZwtq1a7l+/fo98z9x4gS7du0yu/d69eoB3PP+f/2MDQYDVatWNd33iRMnOHfuHI6OjqaYFStW5MaNG0XGnDp1KpmZmabP+fPn75m3iIiIiIiISGnQS+VERB4yGxsbOnbsSMeOHYmOjiYiIoLp06dz6NAhoqKiCp1Tvnx503eDwVDoufz8fACys7MBWLFiBc2bNzeL8+tCb1F+Hfe3sQG6d++OtbU1H374IVZWVuTm5pr6+v6Wra3tfdeLiIjAz8+P//73v8THx9OuXTtq1qwJgKOjI0ePHiUpKYmdO3cybdo0ZsyYwaFDh3B2di40XnZ2Nt27d+eVV16565qbm1uRedzrvrOzs2nSpAlr1669a96d3da/ZW1tjbW1dZHriYiIiIiIiJQFKgiLiDxi9evXZ/Pmzbi6uuLq6vqH41WpUoVq1arx3XffMXjw4ELHWFlZAZCXl1fi+JaWlgwbNoz4+HisrKwYMGBAkYVfLy8vbG1tSUxMNLWJ+C1fX18CAwNZsWIF69atY+nSpXet16FDBzp06MD06dNxdnbm3//+N71798bKyuquewgICOCDDz7Aw8MDS8sH89daQEAAGzZswNXVFScnpwcSU0RERERERKQsUEFYROQhuXTpEn379mXEiBE0atQIR0dHDh8+zKuvvkqPHj0e6FozZ85kzJgxGI1GwsLCyMnJ4fDhw1y+fJnx48fj6uqKra0tO3bsoHr16tjY2GA0GosdPyIiAh8fHwCSk5OLHGdjY8PkyZOZNGkSVlZWBAcHc/HiRb7++mtGjhxpFm/06NHY29vTq1cv0/mtW7fy3Xff0bp1aypUqMD27dvJz8+nbt26AHh4eHDgwAHS0tJMbRyef/55VqxYwcCBA5k0aRIVK1bk3LlzrF+/npUrVxZrl/RvDR48mNdee40ePXowa9Ysqlevzvfff8+mTZuYNGkS1atXL3FMEZGyIG1+19JOQURERERKmXoIi4g8JA4ODjRv3pyFCxfSunVrGjZsSHR0NJGRkXftiv2jIiIiWLlyJfHx8fj6+tKmTRsSEhLw9PQEbu+6Xbx4McuXL6datWolLkh7eXnRsmVL6tWrd1dbit+Kjo5mwoQJTJs2DR8fH/r372/Wkxhg4MCBWFpaMnDgQGxsbEznnZ2d2bRpE+3atcPHx4c333yTd999lwYNGgC3X7ZnYWFB/fr1cXFxIT09nWrVqpGcnExeXh6dOnXC19eXcePG4ezsTLlyv++vOTs7O7744gtq1KhB79698fHxYeTIkdy4cUM7hkVERERERORPzVBQUFBQ2kmIiEjZVlBQgJeXF6NGjWL8+PF/OF5aWhq1a9fm0KFDBAQEPIAMy56srCyMRiOZmZkqIouIiIiIiMhDV9zfoWoZISIi93Tx4kXWr1/PDz/8wPDhw/9QrNzcXC5dusTLL79MixYt/rLFYBEREREREZGySgVhERG5J1dXVypXrsxbb71FhQoV/lCs5ORk2rZti7e3Nxs3bnxAGYqIiIiIiIhIcakgLCIi9/QgOwuFhIQ80HgPSkJCAuPGjePKlSulnYqIiIiIiIjIQ6WXyomIyJ9CWloaBoOB48ePP/DY/fv359tvv33gcUVERERERETKGu0QFhGRUpebm0v58uVLbX1bW1tsbW1LbX0RKTs8pmwr7RQeqrT5XUs7BREREREpZdohLCIiv8vGjRvx9fXF1taWSpUq0aFDB65duwbAypUr8fHxwcbGhnr16rFs2TLTvDs7fTds2ECbNm2wsbFh7dq15OfnM2vWLKpXr461tTV+fn7s2LHDNM/T0xMAf39/DAYDISEhAPedd2e9TZs20bZtW+zs7GjcuDH79u0zjUlISMDZ2dl0PGPGDPz8/FizZg0eHh4YjUYGDBjA1atXH8ajFBEREREREXlkVBAWEZESy8jIYODAgYwYMYKUlBSSkpLo3bs3BQUFrF27lmnTpjF37lxSUlKYN28e0dHRrFq1yizGlClTGDt2LCkpKYSGhhIXF0dsbCwLFizg5MmThIaG8sQTT3D27FkADh48CMDnn39ORkYGmzZtArjvvDteeukloqKiOH78ON7e3gwcOJBbt24VeY+pqals3ryZrVu3snXrVnbv3s38+fOLHJ+Tk0NWVpbZR0RERERERKSsUUFYRERKLCMjg1u3btG7d288PDzw9fVl1KhRODg4MH36dGJjY+nduzeenp707t2bF198keXLl5vFGDdunGmMm5sbCxYsYPLkyQwYMIC6devyyiuv4Ofnx6JFiwBwcXEBoFKlSlStWpWKFSsC3HfeHVFRUXTt2hVvb29mzpzJ999/z7lz54q8x/z8fBISEmjYsCGtWrViyJAhJCYmFjk+JiYGo9Fo+ri7u/+OJysiIiIiIiLycKkgLCIiJda4cWPat2+Pr68vffv2ZcWKFVy+fJlr166RmprKyJEjcXBwMH3mzJlDamqqWYzAwEDT96ysLP73v/8RHBxsNiY4OJiUlJQi8yjJvEaNGpm+u7m5AXDhwoUiY3t4eODo6Gg2517jp06dSmZmpulz/vz5IseKiIiIiIiIlBa9VE5ERErMwsKCzz77jC+//JKdO3eyZMkSXnrpJT7++GMAVqxYQfPmze+a82v29vaPLF/A7KV1BoMBuL0LuDjj78y513hra2usra3/YJYiIiIiIiIiD5cKwiIi8rsYDAaCg4MJDg5m2rRp1KxZk+TkZKpVq8Z3333H4MGDix3LycmJatWqkZycTJs2bUznk5OTadasGQBWVlYA5OXllWieiEhJpM3vWtopiIiIiIg8VCoIi4hIiR04cIDExEQ6deqEq6srBw4c4OLFi/j4+DBz5kzGjBmD0WgkLCyMnJwcDh8+zOXLlxk/fnyRMSdOnMj06dOpXbs2fn5+xMfHc/z4cdauXQuAq6srtra27Nixg+rVq2NjY4PRaLzvPBERERERERH5f1QQFhGREnNycuKLL75g0aJFZGVlUbNmTWJjY+ncuTMAdnZ2vPbaa0ycOBF7e3t8fX0ZN27cPWOOGTOGzMxMJkyYwIULF6hfvz5btmzBy8sLAEtLSxYvXsysWbOYNm0arVq1Iikp6b7zREREREREROT/MRQUFBSUdhIiIiJ/NVlZWRiNRjIzM3FycirtdEREREREROQvrri/Q8s9wpxEREREREREREREpBSpICwiIn9pCQkJODs7l3YaIiIiIiIiImWCCsIiIvKX1r9/f7799tvSTkNERERERESkTNBL5URE5C8rNzcXW1tbbG1tSzsVEZEywWPKttJOQeRvI21+19JOQUREpFDaISwiImXKxo0b8fX1xdbWlkqVKtGhQweuXbsGwMqVK/Hx8cHGxoZ69eqxbNky07y0tDQMBgMbNmygTZs22NjYsHbt2rtaRsyYMQM/Pz/WrFmDh4cHRqORAQMGcPXqVdOY/Px8YmJi8PT0xNbWlsaNG7Nx48ZH9gxEREREREREHhbtEBYRkTIjIyODgQMH8uqrr9KrVy+uXr3Knj17KCgoYO3atUybNo2lS5fi7+/PsWPHiIyMxN7enmHDhpliTJkyhdjYWPz9/bGxseHTTz+9a53U1FQ2b97M1q1buXz5Mv369WP+/PnMnTsXgJiYGP71r3/x5ptv4uXlxRdffMFTTz2Fi4sLbdq0eWTPQ0RERERERORBU0FYRETKjIyMDG7dukXv3r2pWbMmAL6+vgBMnz6d2NhYevfuDYCnpyenT59m+fLlZgXhcePGmcYUJT8/n4SEBBwdHQEYMmQIiYmJzJ07l5ycHObNm8fnn39OUFAQALVq1WLv3r0sX768yIJwTk4OOTk5puOsrKzf+RREREREREREHh4VhEVEpMxo3Lgx7du3x9fXl9DQUDp16sSTTz6JlZUVqampjBw5ksjISNP4W7duYTQazWIEBgbedx0PDw9TMRjAzc2NCxcuAHDu3DmuX79Ox44dzebcvHkTf3//ImPGxMQwc+bMYt2niIiIiIiISGlRQVhERMoMCwsLPvvsM7788kt27tzJkiVLeOmll/j4448BWLFiBc2bN79rzq/Z29vfd53y5cubHRsMBvLz8wHIzs4GYNu2bTz22GNm46ytrYuMOXXqVMaPH286zsrKwt3d/b65iIiIiIiIiDxKKgiLiEiZYjAYCA4OJjg4mGnTplGzZk2Sk5OpVq0a3333HYMHD36o69evXx9ra2vS09NL1C/Y2tr6ngVjERERERERkbJABWERESkzDhw4QGJiIp06dcLV1ZUDBw5w8eJFfHx8mDlzJmPGjMFoNBIWFkZOTg6HDx/m8uXLZjtz/yhHR0eioqJ48cUXyc/P5/HHHyczM5Pk5GScnJzM+hWLiPzZpM3vWtopiIiIiEgpU0FYRETKDCcnJ7744gsWLVpEVlYWNWvWJDY2ls6dOwNgZ2fHa6+9xsSJE7G3t8fX15dx48Y98Dxmz56Ni4sLMTExfPfddzg7OxMQEMA//vGPB76WiIiIiIiIyKNkKCgoKCjtJERERP5qsrKyMBqNZGZm4uTkVNrpiIiIiIiIyF9ccX+HlnuEOYmIiIiIiIiIiIhIKVJBWERERERERERERORvQgVhERH5S0tKSsJgMHDlypXSTkVERERERESk1KkgLCIif2ktW7YkIyMDo9FY2qmIiIiIiIiIlDrL0k5ARET+3nJzcylfvvxDi29lZUXVqlUfWnwRkT8TjynbSjuFBy5tftfSTkFERETkT0U7hEVEpMQ2btyIr68vtra2VKpUiQ4dOnDt2jUOHTpEx44dqVy5MkajkTZt2nD06FGzuQaDgTfeeIMnnngCe3t75s6dC8DHH39M06ZNsbGxoXLlyvTq1cs05/LlywwdOpQKFSpgZ2dH586dOXv2rOn6999/T/fu3alQoQL29vY0aNCA7du3A3e3jEhISMDZ2ZlPP/0UHx8fHBwcCAsLIyMjwyzPlStX4uPjg42NDfXq1WPZsmUP41GKiIiIiIiIPFIqCIuISIlkZGQwcOBARowYQUpKCklJSfTu3ZuCggKuXr3KsGHD2Lt3L/v378fLy4suXbpw9epVsxgzZsygV69enDp1ihEjRrBt2zZ69epFly5dOHbsGImJiTRr1sw0Pjw8nMOHD7Nlyxb27dtHQUEBXbp0ITc3F4Dnn3+enJwcvvjiC06dOsUrr7yCg4NDkfdw/fp1FixYwJo1a/jiiy9IT08nKirKdH3t2rVMmzaNuXPnkpKSwrx584iOjmbVqlUP+GmKiIiIiIiIPFpqGSEiIiWSkZHBrVu36N27NzVr1gTA19cXgHbt2pmNfeutt3B2dmb37t1069bNdH7QoEEMHz7cdDxgwAAGDBjAzJkzTecaN24MwNmzZ9myZQvJycm0bNkSuF2wdXd3Z/PmzfTt25f09HT69OljyqNWrVr3vIfc3FzefPNNateuDcDo0aOZNWuW6fr06dOJjY2ld+/eAHh6enL69GmWL1/OsGHDCo2Zk5NDTk6O6TgrK+ueOYiIiIiIiIiUBu0QFhGREmncuDHt27fH19eXvn37smLFCi5fvgzAjz/+SGRkJF5eXhiNRpycnMjOziY9Pd0sRmBgoNnx8ePHad++faHrpaSkYGlpSfPmzU3nKlWqRN26dUlJSQFgzJgxzJkzh+DgYKZPn87JkyfveQ92dnamYjCAm5sbFy5cAODatWukpqYycuRIHBwcTJ85c+aQmppaZMyYmBiMRqPp4+7ufs8cREREREREREqDCsIiIlIiFhYWfPbZZ3zyySfUr1+fJUuWULduXf7zn/8wbNgwjh8/TlxcHF9++SXHjx+nUqVK3Lx50yyGvb292bGtre0fyikiIoLvvvuOIUOGcOrUKQIDA1myZEmR43/7EjuDwUBBQQEA2dnZAKxYsYLjx4+bPl999RX79+8vMubUqVPJzMw0fc6fP/+H7klERERERETkYVBBWERESsxgMBAcHMzMmTM5duwYVlZWfPjhhyQnJzNmzBi6dOlCgwYNsLa25qeffrpvvEaNGpGYmFjoNR8fH27dusWBAwdM5y5dusSZM2eoX7++6Zy7uzvPPvssmzZtYsKECaxYseJ33VuVKlWoVq0a3333HXXq1DH7eHp6FjnP2toaJycns4+IiIiIiIhIWaMewiIiUiIHDhwgMTGRTp064erqyoEDB7h48SI+Pj54eXmxZs0aAgMDycrKYuLEicXa/Tt9+nTat29P7dq1GTBgALdu3WL79u1MnjwZLy8vevToQWRkJMuXL8fR0ZEpU6bw2GOP0aNHDwDGjRtH586d8fb25vLly+zatQsfH5/ffY8zZ85kzJgxGI1GwsLCyMnJ4fDhw1y+fJnx48f/7rgiIqUtbX7X0k5BREREREqZdgiLiEiJODk58cUXX9ClSxe8vb15+eWXiY2NpXPnzrz99ttcvnyZgIAAhgwZwpgxY3B1db1vzJCQEN5//322bNmCn58f7dq14+DBg6br8fHxNGnShG7duhEUFERBQQHbt283tX7Iy8vj+eefx8fHh7CwMLy9vVm2bNnvvseIiAhWrlxJfHw8vr6+tGnThoSEhHvuEBYRERERERH5MzAU3GmaKCIiIg9MVlYWRqORzMxMtY8QERERERGRh664v0O1Q1hERERERERERETkb0IFYREREREREREREZG/CRWEReQPmTFjBn5+fqWdRon8Nufw8HB69uxZavn82SQkJODs7PxI1jpz5gxVq1bl6tWrj2S9wrz55pt079691NYXEREREREReZBUEBb5C7p48SLPPfccNWrUwNramqpVqxIaGkpycnJppyZlyO8t7Pbv359vv/32wSdUiKlTp/LCCy/g6OhoOrdixQoaN26Mg4MDzs7O+Pv7ExMTU+j8evXqYW1tzQ8//HDXtZCQEMaNG3fX+d8+lxEjRnD06FH27Nnzh+9HREREREREpLRZlnYCIvLg9enTh5s3b7Jq1Spq1arFjz/+SGJiIpcuXSrt1OQvwNbWFltb24e+Tnp6Olu3bmXJkiWmc++88w7jxo1j8eLFtGnThpycHE6ePMlXX3111/y9e/fyyy+/8OSTT7Jq1SomT578u/KwsrJi0KBBLF68mFatWv3u+xERKQs8pmwr7RSKLW1+19JOQUREROQvSTuERf5irly5wp49e3jllVdo27YtNWvWpFmzZkydOpUnnnjinnMnT56Mt7c3dnZ21KpVi+joaHJzc83GzJ8/nypVquDo6MjIkSO5cePGXXFWrlyJj48PNjY21KtXj2XLlpmupaWlYTAY2LRpE23btsXOzo7GjRuzb98+sxgffPABDRo0wNraGg8PD2JjY82uL1u2DC8vL2xsbKhSpQpPPvkkAKtXr6ZSpUrk5OSYje/ZsydDhgy55/0vWLAANzc3KlWqxPPPP29275cvX2bo0KFUqFABOzs7OnfuzNmzZ03X7+wq3bp1K3Xr1sXOzo4nn3yS69evs2rVKjw8PKhQoQJjxowhLy+v2HEBkpOTCQkJwc7OjgoVKhAaGsrly5eLda8nTpygbdu2ODo64uTkRJMmTTh8+DBJSUkMHz6czMxMDAYDBoOBGTNmAJCTk0NUVBSPPfYY9vb2NG/enKSkpLvu9Y47LTjWrFmDh4cHRqORAQMGmLV5yM/PJyYmBk9PT2xtbWncuDEbN26855/He++9R+PGjXnsscdM57Zs2UK/fv0YOXIkderUoUGDBgwcOJC5c+feNf/tt99m0KBBDBkyhHfeeeeea91P9+7d2bJlC7/88ssfiiMiIiIiIiJS2lQQFvmLcXBwwMHBgc2bN99VKLwfR0dHEhISOH36NHFxcaxYsYKFCxearr/33nvMmDGDefPmcfjwYdzc3MyKvQBr165l2rRpzJ07l5SUFObNm0d0dDSrVq0yG/fSSy8RFRXF8ePH8fb2ZuDAgdy6dQuAI0eO0K9fPwYMGMCpU6eYMWMG0dHRJCQkAHD48GHGjBnDrFmzOHPmDDt27KB169YA9O3bl7y8PLZs2WJa68KFC2zbto0RI0YUee+7du0iNTWVXbt2sWrVKhISEkzrwe0+w4cPH2bLli3s27ePgoICunTpYlY0vn79OosXL2b9+vXs2LGDpKQkevXqxfbt29m+fTtr1qxh+fLlZoXQ+8U9fvw47du3p379+uzbt4+9e/fSvXt38vLyinWvgwcPpnr16hw6dIgjR44wZcoUypcvT8uWLVm0aBFOTk5kZGSQkZFBVFQUAKNHj2bfvn2sX7+ekydP0rdvX8LCwu4qVP9aamoqmzdvZuvWrWzdupXdu3czf/580/WYmBhWr17Nm2++yddff82LL77IU089xe7du4uMuWfPHgIDA83OVa1alf379/P9998XOQ/g6tWrvP/++zz11FN07NiRzMzMP9TyITAwkFu3bnHgwIHfHUNERERERESkLDAUFBQUlHYSIvJgffDBB0RGRvLLL78QEBBAmzZtGDBgAI0aNSpRnAULFrB+/XoOHz4MQMuWLfH39+ef//ynaUyLFi24ceMGx48fB6BOnTrMnj2bgQMHmsbMmTOH7du38+WXX5KWloanpycrV65k5MiRAJw+fZoGDRqQkpJCvXr1GDx4MBcvXmTnzp2mGJMmTWLbtm18/fXXbNq0ieHDh/Pf//7XrLfsHaNGjSItLY3t27cD8Prrr/PPf/6Tc+fOmXbCbt682ZRzeHg4SUlJpKamYmFhAUC/fv0oV64c69ev5+zZs3h7e5OcnEzLli0BuHTpEu7u7qxatYq+ffuSkJDA8OHDOXfuHLVr1wbg2WefZc2aNfz44484ODgAEBYWhoeHB2+++Wax4g4aNIj09HT27t1b6J/R/e7VycmJJUuWMGzYsLvmJiQkMG7cOK5cuWI6l56eTq1atUhPT6datWqm8x06dKBZs2bMmzfvrnkzZszgtdde44cffjD9eUyaNIkvvviC/fv3k5OTQ8WKFfn8888JCgoyxYyIiOD69eusW7eu0Hvz8/OjT58+REdHm85lZGTQu3dv9u/fj7e3N0FBQXTp0oUnn3yScuX+379xrlixgmXLlnHs2DEAU76/LvKHhITw5ZdfYmVlZbburVu3sLGxMXsuABUrVmThwoWFPku4vbP61/8Ik5WVhbu7O5mZmTg5ORU6R0TkUVPLCBEREZG/rqysLIxG431/h2qHsMhfUJ8+ffjf//7Hli1bCAsLIykpiYCAAFMx7NlnnzXtJL5TqATYsGEDwcHBVK1aFQcHB15++WXS09NN11NSUmjevLnZWr8u8F27do3U1FRGjhxpFn/OnDmkpqaazft1cdrNzQ24vbv1zjrBwcFm44ODgzl79ix5eXl07NiRmjVrUqtWLYYMGcLatWu5fv26aWxkZCQ7d+7k//7v/4Dbhc/w8HAMBkORz6xBgwamYvCdnH6dj6Wlpdm9V6pUibp165KSkmI6Z2dnZyoGA1SpUgUPDw+zZ1ylSpUSxb2zQ7go97vX8ePHExERQYcOHZg/f/5dfw6/derUKfLy8vD29jb7M9y9e/c953p4eJgV53/9/M6dO8f169fp2LGjWczVq1ffM+Yvv/yCjY2N2Tk3Nzf27dvHqVOnGDt2LLdu3WLYsGGEhYWRn59vGvfOO+/w1FNPmY6feuop3n//fbM2FnB7B/Xx48fNPrNmzSo0H1tbW7P/zn4rJiYGo9Fo+ri7uxc5VkRERERERKS06KVyIn9RNjY2dOzYkY4dOxIdHU1ERATTp08nPDycWbNmmdoD3LFv3z4GDx7MzJkzCQ0NxWg0sn79+rt6995LdnY2cHt35m8Lx78utgKUL1/e9P1O8fLXBb17cXR05OjRoyQlJbFz506mTZvGjBkzOHToEM7Ozvj7+9O4cWNWr15Np06d+Prrr9m27d47on6dz52cipvPvWL80bj3e3nb/e51xowZDBo0iG3btvHJJ58wffp01q9fT69evQqNl52djYWFBUeOHLnrz+zXhe3futd93vnvYtu2bWb9gAGsra2LjFm5cmUuX75c6LWGDRvSsGFDRo0axbPPPkurVq3YvXs3bdu25fTp0+zfv5+DBw+avUguLy+P9evXExkZaTpnNBqpU6eOWWxXV9dC1/z5559xcXEpMt+pU6cyfvx40/GdHcIiIiIiIiIiZYkKwiJ/E/Xr12fz5s3A7YLXb4teX375JTVr1uSll14ynfttn1YfHx8OHDjA0KFDTef2799v+l6lShWqVavGd999x+DBg393rj4+PiQnJ5udS05Oxtvb21SktLS0pEOHDnTo0IHp06fj7OzMv//9b3r37g3cbkewaNEi/u///o8OHTr8ocKcj4+PqX/sr1s7nDlzhvr16z/UuI0aNSIxMZGZM2cWGed+9+rt7Y23tzcvvvgiAwcOJD4+nl69emFlZWX2gju4XWDOy8vjwoULtGrV6nff26/Vr18fa2tr0tPTadOmTbHn+fv7c/r06WLFh9s71OH2y+Rat25t1toEID4+nrffftusIFxcqamp3LhxA39//yLHWFtb37PALSIiIiIiIlIWqCAs8hdz6dIl+vbty4gRI2jUqBGOjo4cPnyYV199lR49ehQ5z8vLi/T0dNavX0/Tpk3Ztm0bH374odmYsWPHEh4eTmBgIMHBwaxdu5avv/6aWrVqmcbMnDmTMWPGYDQaCQsLIycnh8OHD3P58mWz3ZP3MmHCBJo2bcrs2bPp378/+/btY+nSpaYX2G3dupXvvvuO1q1bU6FCBbZv305+fj5169Y1xRg0aBBRUVGsWLGC1atXl+QRFvpsevToQWRkJMuXL8fR0ZEpU6bw2GOP3fOZPoi4U6dOxdfX17QT1srKil27dtG3b18qV658z3v95ZdfmDhxIk8++SSenp7897//5dChQ/Tp0we43eYhOzubxMREGjdujJ2dHd7e3gwePJihQ4cSGxuLv78/Fy9eJDExkUaNGtG1a8n7OTo6OhIVFcWLL75Ifn4+jz/+OJmZmSQnJ+Pk5FRkT97Q0FAiIiLIy8sz/UPAc889R7Vq1WjXrh3Vq1cnIyODOXPm4OLiQlBQELm5uaxZs4ZZs2bRsGFDs3gRERG8/vrrfP311zRo0KBE97Bnzx5q1apl1hJEROTPSH15RUREREQ9hEX+YhwcHGjevDkLFy6kdevWNGzYkOjoaCIjI1m6dGmR85544glefPFFRo8ejZ+fH19++aXZy7wA+vfvT3R0NJMmTaJJkyZ8//33PPfcc2ZjIiIiWLlyJfHx8fj6+tKmTRsSEhLw9PQs9j0EBATw3nvvsX79eho2bMi0adOYNWsW4eHhADg7O7Np0ybatWuHj48Pb775Ju+++65Zkc9oNNKnTx8cHBzo2bNnsdcuSnx8PE2aNKFbt24EBQVRUFDA9u3b72qV8KDjent7s3PnTk6cOEGzZs0ICgrio48+wtLy//17XlH3amFhwaVLlxg6dCje3t7069ePzp07m3Ybt2zZkmeffZb+/fvj4uLCq6++aspp6NChTJgwgbp169KzZ08OHTpEjRo1fvd9zp49m+joaGJiYvDx8SEsLIxt27bd87+Lzp07Y2lpyeeff24616FDB/bv30/fvn3x9vamT58+2NjYkJiYSKVKldiyZQuXLl0qtCWGj48PPj4+vP322yXO/9133/1dO4tFREREREREyhpDQUFBQWknISLyMLRv354GDRqwePHi0k7lofur3us///lPtmzZwqefflpqOXz99de0a9eOb7/9FqPRWOx5xX27q4iIiIiIiMiDUNzfoWoZISJ/OZcvXyYpKYmkpCRTm4m/qr/6vT7zzDNcuXKFq1ev4ujoWCo5ZGRksHr16hIVg0VERERERETKKhWEReQvx9/fn8uXL/PKK6+Y9RX+K/qr36ulpaXZiw5LQ4cOHUp1fREREREREZEHSQVhEfnLSUtLK+0UHplHda8hISH4+fmxaNGiR7JeSc2YMYPNmzdz/Pjx0k5FREREREREpEzTS+VEROSBS0tLw2AwPLICbVRUFImJiQ8l9owZM0hKSnoosUVEREREREQeNe0QFhH5i7p58yZWVlalncYj4eDggIODwwOLl5uby+LFixkzZozp3IULF/jwww955plnHtg6IiKPmseUbaWdgkipS5vftbRTEBERKVXaISwiUkaEhIQwevRoRo8ejdFopHLlykRHR1NQUMCsWbNo2LDhXXP8/PyIjo4GIDw8nJ49ezJ37lyqVatm6il86tQp2rVrh62tLZUqVeLpp58mOzvbFOPWrVuMGTMGZ2dnKlWqxOTJkxk2bBg9e/YsMleDwcDmzZvNzjk7O5OQkACAp6cncLvHscFgICQkBIBDhw7RsWNHKleujNFopE2bNhw9evSu2MuXL6dbt27Y2dnh4+PDvn37OHfuHCEhIdjb29OyZUtSU1NNc2bMmIGfn5/p+M6zWLBgAW5ublSqVInnn3+e3Nxc05icnByioqJ47LHHsLe3p3nz5qadwAaDAYB27drx9ddf8+GHH9K9e3eqV69e5DMRERERERER+TNQQVhEpAxZtWoVlpaWHDx4kLi4OF5//XVWrlzJiBEjSElJ4dChQ6axx44d4+TJkwwfPtx0LjExkTNnzvDZZ5+xdetWrl27RmhoKBUqVODQoUO8//77fP7554wePdo055VXXmHt2rXEx8eTnJxMVlbWXcXekjp48CAAn3/+ORkZGWzatAmAq1evMmzYMPbu3cv+/fvx8vKiS5cuXL161Wz+7NmzGTp0KMePH6devXoMGjSIZ555hqlTp3L48GEKCgrM7qEwu3btIjU1lV27drFq1SoSEhJMBWuA0aNHs2/fPtavX8/Jkyfp27cvYWFhnD17FktLSyZMmMDixYvZvn07O3fuZOfOnXTtWvSOopycHLKyssw+IiIiIiIiImWNWkaIiJQh7u7uLFy4EIPBQN26dTl16hQLFy4kMjKS0NBQ4uPjadq0KQDx8fG0adOGWrVqmebb29uzcuVKU6uIFStWcOPGDVavXo29vT0AS5cupXv37rzyyitUqVKFJUuWMHXqVHr16mW6vn379j90Hy4uLgBUqlSJqlWrms63a9fObNxbb72Fs7Mzu3fvplu3bqbzw4cPp1+/fgBMnjyZoKAgoqOjCQ0NBWDs2LFmhfDCVKhQgaVLl2JhYUG9evXo2rUriYmJREZGkp6eTnx8POnp6VSrVg243Yd4x44dxMfHM3v2bJYuXcrGjRvp0qUL1apVIywsjOnTpxMWFlboejExMcycObOET0pERERERETk0dIOYRGRMqRFixamdgUAQUFBnD17lry8PCIjI3n33Xe5ceMGN2/eZN26dYwYMcJsvq+vr1nf4JSUFBo3bmwqBgMEBweTn5/PmTNnyMzM5Mcff6RZs2am6xYWFjRp0uSh3N+PP/5IZGQkXl5eGI1GnJycyM7OJj093Wxco0aNTN+rVKliurdfn7tx48Y9d+E2aNAACwsL07GbmxsXLlwAbrfRyMvLw9vb29R/2MHBgd27d5Oamkp+fj65ubkkJibSoEEDevXqxebNm0lLSytyvalTp5KZmWn6nD9/vkTPRkRERERERORR0A5hEZE/ie7du2Ntbc2HH36IlZUVubm5PPnkk2Zjfl34fZgMBgMFBQVm537dn7cow4YN49KlS8TFxVGzZk2sra0JCgri5s2bZuPKly9vtlZR5/Lz84tc69fj78y5Mz47OxsLCwuOHDliVjSG2y+oK1++PFFRUWbnq1SpwrPPPlvketbW1lhbWxd5XURERERERKQsUEFYRKQMOXDggNnxnT67d4qWw4YNIz4+HisrKwYMGICtre094/n4+JCQkMC1a9dMxeLk5GTKlStH3bp1MRqNVKlShUOHDtG6dWsA8vLyOHr0qNlL2n7LxcWFjIwM0/HZs2e5fv266fjOLuW8vDyzecnJySxbtowuXboAcP78eX766ad73sPD4O/vT15eHhcuXKBVq1b3HDtjxoxHk5SIiIiIiIjII6CCsIhIGZKens748eN55plnOHr0KEuWLCE2NtZ0PSIiAh8fH+B2cfV+Bg8ezPTp0xk2bBgzZszg4sWLvPDCCwwZMsTUiuGFF14gJiaGOnXqUK9ePZYsWcLly5fNWlf8Vrt27Vi6dClBQUHk5eUxefJksx25rq6u2NrasmPHDqpXr46NjQ1GoxEvLy/WrFlDYGAgWVlZTJw48b5F7YfB29ubwYMHM3ToUGJjY/H39+fixYskJibSqFGje748TkTkzyxtvv73TUREROTvTj2ERUTKkKFDh/LLL7/QrFkznn/+ecaOHcvTTz9tuu7l5UXLli2pV68ezZs3v288Ozs7Pv30U37++WeaNm3Kk08+Sfv27Vm6dKlpzOTJkxk4cCBDhw4lKCgIBwcHQkNDsbGxKTJubGws7u7utGrVikGDBhEVFYWdnZ3puqWlJYsXL2b58uVUq1aNHj16APD2229z+fJlAgICGDJkCGPGjMHV1fX3PKo/LD4+nqFDhzJhwgTq1q1Lz549OXToEDVq1CiVfEREREREREQeBUPBb5tAiohIqQgJCcHPz49FixYVOaagoAAvLy9GjRrF+PHjH0oe+fn5+Pj40K9fP2bPnv1Q1vg7yMrKwmg0kpmZiZOTU2mnIyIiIiIiIn9xxf0dqpYRIiJ/EhcvXmT9+vX88MMPDB8+/IHF/f7779m5cydt2rQhJyeHpUuX8p///IdBgwY9sDVEREREREREpGxQQVhE5E/C1dWVypUr89Zbb1GhQoUHFrdcuXIkJCQQFRVFQUEBDRs25PPPPzf1KhYRERERERGRvw61jBAR+ZsoTkuKshT3z04tI0RERERERORRKu7vUL1UTkRERERERERERORvQi0jRET+RG7evImVlVVpp1Eif6acCwoKyMvLw9JSfz2KyF+Tx5RtpZ2ClJK0+V1LOwUREREpI7RDWESkFIWEhDB69GhGjx6N0WikcuXKREdHc6ebj4eHB7Nnz2bo0KE4OTnx9NNPA/DBBx/QoEEDrK2t8fDwIDY2tljr5efnM2nSJCpWrEjVqlWZMWOG6dqIESPo1q2b2fjc3FxcXV15++23Abh27RpDhw7FwcEBNze3Qtf9PTnPmjWLatWqcenSJdO5rl270rZtW/Lz84uV22+lpaVhMBhYv349LVu2xMbGhoYNG7J7927TmKSkJAwGA5988glNmjTB2tqavXv3kpOTw5gxY3B1dcXGxobHH3+cQ4cOFesZi4iIiIiIiJRlKgiLiJSyVatWYWlpycGDB4mLi+P1119n5cqVpusLFiygcePGHDt2jOjoaI4cOUK/fv0YMGAAp06dYsaMGURHR5OQkFCstezt7Tlw4ACvvvoqs2bN4rPPPgMgIiKCHTt2kJGRYRq/detWrl+/Tv/+/QGYOHEiu3fv5qOPPmLnzp0kJSVx9OjRu9Ypac4vvfQSHh4eREREAPDPf/6TL7/8klWrVlGuXLli5VaUiRMnMmHCBI4dO0ZQUBDdu3c3KzwDTJkyhfnz55OSkkKjRo2YNGkSH3zwAatWreLo0aPUqVOH0NBQfv755yLXycnJISsry+wjIiIiIiIiUtbopXIiIqUoJCSECxcu8PXXX2MwGIDbxcktW7Zw+vRpPDw88Pf358MPPzTNGTx4MBcvXmTnzp2mc5MmTWLbtm18/fXX91wrLy+PPXv2mM41a9aMdu3aMX/+fAAaNGjAsGHDmDRpEgBPPPEElSpVIj4+nuzsbCpVqsS//vUv+vbtC8DPP/9M9erVefrpp00vlfu9OX/33Xf4+fkxatQoFi9ezMqVKxk0aJBp/L1yK0xaWhqenp7Mnz+fyZMnA3Dr1i08PT154YUXmDRpEklJSbRt25bNmzfTo0cP4PYu6AoVKpCQkGBaPzc3Fw8PD8aNG8fEiRMLXW/GjBnMnDnzrvN6qZyIlCVqGfH3pZYRIiIif316qZyIyJ9EixYtTMVggKCgIM6ePUteXh4AgYGBZuNTUlIIDg42OxccHGyas2fPHhwcHEyftWvXmsY1atTIbJ6bmxsXLlwwHUdERJgKrD/++COffPIJI0aMACA1NZWbN2/SvHlz0/iKFStSt27du+6ppDkD1KpViwULFvDKK6/wxBNPmBWD75fbs88+a3bPvxYUFGT6bmlpSWBgICkpKUXmm5qaSm5urlm+5cuXp1mzZnfN+7WpU6eSmZlp+pw/f77IsSIiIiIiIiKlRW/NEREp4+zt7Us0PjAwkOPHj5uOq1SpYvpevnx5s7EGg4H8/HzT8dChQ5kyZQr79u3jyy+/xNPTk1atWj30nO/44osvsLCwIC0tjVu3bpm93O1euc2aNYuoqKjfteYfyffXrK2tsba2/sNxRERERERERB4m7RAWESllBw4cMDvev38/Xl5eWFhYFDrex8eH5ORks3PJycl4e3tjYWGBra0tderUMX0cHR2LnUulSpXo2bMn8fHxJCQkMHz4cNO12rVrU758ebN8L1++zLfffnvfuPfLGWDDhg1s2rSJpKQk0tPTmT17drFzc3V1NbvnX9u/f7/p+61btzhy5Ag+Pj5F5lq7dm2srKzM8s3NzeXQoUPUr1//vvcqIiIiIiIiUpZph7CISClLT09n/PjxPPPMMxw9epQlS5YQGxtb5PgJEybQtGlTZs+eTf/+/dm3bx9Lly5l2bJlDySfiIgIunXrRl5eHsOGDTOdd3BwYOTIkUycOJFKlSrh6urKSy+9RLly9/+3xfvl/N///pfnnnuOV155hccff5z4+Hi6detG586dadGixX1zu5d//vOfeHl54ePjw8KFC7l8+bKp1URh7O3tee6555g4cSIVK1akRo0avPrqq1y/fp2RI0cWa00RkbJKfWRFRERERAVhEZFSNnToUH755ReaNWuGhYUFY8eO5emnny5yfEBAAO+99x7Tpk1j9uzZuLm5MWvWLMLDwx9IPh06dMDNzY0GDRpQrVo1s2uvvfYa2dnZdO/eHUdHRyZMmEBmZuZ9Y94r54KCAsLDw2nWrBmjR48GIDQ0lOeee46nnnqK48ePm/oC3yu3osyfP5/58+dz/Phx6tSpw5YtW6hcufJ95+Tn5zNkyBCuXr1KYGAgn376KRUqVCjWmiIiIiIiIiJllaGgoKCgtJMQEfm7CgkJwc/Pj0WLFpV2KibZ2dk89thjxMfH07t379JOx0xJcktLS8PT05Njx47h5+f3aBL8leK+3VVERERERETkQSju71DtEBYREQDy8/P56aefiI2NxdnZmSeeeKK0UzIpy7mJiIiIiIiI/JmoICwiIsDtXsaenp5Ur16dhIQELC3Lzl8RZTk3ERERERERkT8TtYwQEZG/FA8PD8aNG8e4ceMAMBgMfPjhh/Ts2fOR5qGWESIiIiIiIvIoqWWEiIgIkJGRoZfBiYiIiIiIiPz/VBAWEZE/hZs3b2JlZVXieVWrVn0I2YiI/Dl5TNlW2in85aXN71raKYiIiIjcU7nSTkBERP6eQkJCGD16NKNHj8ZoNFK5cmWio6O508nIw8OD2bNnM3ToUJycnHj66acB+OCDD2jQoAHW1tZ4eHgQGxt7z3UMBgObN28GIC0tDYPBwKZNm2jbti12dnY0btyYffv2mc3Zu3cvrVq1wtbWFnd3d8aMGcO1a9ce/EMQERERERERecRUEBYRkVKzatUqLC0tOXjwIHFxcbz++uusXLnSdH3BggU0btyYY8eOER0dzZEjR+jXrx8DBgzg1KlTzJgxg+joaBISEkq07ksvvURUVBTHjx/H29ubgQMHcuvWLQBSU1MJCwujT58+nDx5kg0bNrB3715Gjx59z5g5OTlkZWWZfURERERERETKGrWMEBGRUuPu7s7ChQsxGAzUrVuXU6dOsXDhQiIjIwFo164dEyZMMI0fPHgw7du3Jzo6GgBvb29Onz7Na6+9Rnh4eLHXjYqKomvX2/+X3pkzZ9KgQQPOnTtHvXr1iImJYfDgwaaX0nl5ebF48WLatGnDG2+8gY2NTaExY2JimDlz5u94CiIiIiIiIiKPjnYIi4hIqWnRogUGg8F0HBQUxNmzZ8nLywMgMDDQbHxKSgrBwcFm54KDg83mFEejRo1M393c3AC4cOECACdOnCAhIQEHBwfTJzQ0lPz8fP7zn/8UGXPq1KlkZmaaPufPny92PiIiIiIiIiKPinYIi4hImWVvb/9Q4pYvX970/U5BOj8/H4Ds7GyeeeYZxowZc9e8GjVqFBnT2toaa2vrB5ypiIiIiIiIyIOlgrCIiJSaAwcOmB3v378fLy8vLCwsCh3v4+NDcnKy2bnk5GS8vb2LnFNSAQEBnD59mjp16jyQeCIiIiIiIiJliQrCIiJSatLT0xk/fjzPPPMMR48eZcmSJcTGxhY5fsKECTRt2pTZs2fTv39/9u3bx9KlS1m2bNkDy2ny5Mm0aNGC0aNHExERgb29PadPn+azzz5j6dKlD2wdEZHSkDa/a2mnICIiIiKlTAVhEREpNUOHDuWXX36hWbNmWFhYMHbsWJ5++ukixwcEBPDee+8xbdo0Zs+ejZubG7NmzSrRC+Xup1GjRuzevZuXXnqJVq1aUVBQQO3atenfv/8DW0NERERERESktBgKCgoKSjsJERH5+wkJCcHPz49FixaVdioPRVZWFkajkczMTJycnEo7HREREREREfmLK+7v0HKPMCcRERERERERERERKUUqCIuIiIiIiIiIiIj8TaggLCIiJebh4fGHWz0kJSU90HYRM2bMwM/P74HFExEREREREfkr0kvlRESkxA4dOoS9vX1pp/GHGQwGPvzwQ3r27FnaqYiIiIiIiIg8EioIi4hIibm4uJR2CiIiJeYxZVtpp1Dq0uZ3Le0URERERKSUqWWEiIjcJSQkhNGjRzN69GiMRiOVK1cmOjqagoIC4O6WEQaDgTfeeIPOnTtja2tLrVq12Lhxo1nM8+fP069fP5ydnalYsSI9evQgLS3NbMw777xDgwYNsLa2xs3NjdGjR5uupaen06NHDxwcHHBycqJfv378+OOPRd7DoUOH6NixI5UrV8ZoNNKmTRuOHj1quu7h4QFAr169MBgMpmOAjz76iICAAGxsbKhVqxYzZ87k1q1bJXyKIiIiIiIiImWPCsIiIlKoVatWYWlpycGDB4mLi+P1119n5cqVRY6Pjo6mT58+nDhxgsGDBzNgwABSUlIAyM3NJTQ0FEdHR/bs2UNycjIODg6EhYVx8+ZNAN544w2ef/55nn76aU6dOsWWLVuoU6cOAPn5+fTo0YOff/6Z3bt389lnn/Hdd9/Rv3//IvO5evUqw4YNY+/evezfvx8vLy+6dOnC1atXgdsFY4D4+HgyMjJMx3v27GHo0KGMHTuW06dPs3z5chISEpg7d+49n1dOTg5ZWVlmHxEREREREZGyRi0jRESkUO7u7ixcuBCDwUDdunU5deoUCxcuJDIystDxffv2JSIiAoDZs2fz2WefsWTJEpYtW8aGDRvIz89n5cqVGAwG4HYh1tnZmaSkJDp16sScOXOYMGECY8eONcVs2rQpAImJiZw6dYr//Oc/uLu7A7B69WoaNGjAoUOHTON+rV27dmbHb731Fs7OzuzevZtu3bqZ2l44OztTtWpV07iZM2cyZcoUhg0bBkCtWrWYPXs2kyZNYvr06UU+r5iYGGbOnHnvhyoiIiIiIiJSyrRDWERECtWiRQtT8RYgKCiIs2fPkpeXV+j4oKCgu47v7BA+ceIE586dw9HREQcHBxwcHKhYsSI3btwgNTWVCxcu8L///Y/27dsXGjslJQV3d3dTMRigfv36ODs7m9b4rR9//JHIyEi8vLwwGo04OTmRnZ1Nenr6Pe/7xIkTzJo1y5Sng4MDkZGRZGRkcP369SLnTZ06lczMTNPn/Pnz91xHREREREREpDRoh7CIiDx02dnZNGnShLVr1951zcXFhXLlHvy/Tw4bNoxLly4RFxdHzZo1sba2JigoyNSi4l65zpw5k969e991zcbGpsh51tbWWFtb/+G8RURERERERB4mFYRFRKRQBw4cMDu+04fXwsKi0PH79+9n6NChZsf+/v4ABAQEsGHDBlxdXXFycip0voeHB4mJibRt2/auaz4+Ppw/f57z58+bdgmfPn2aK1euUL9+/ULjJScns2zZMrp06QLcfqndTz/9ZDamfPnyd+14DggI4MyZM6b+xSIiIiIiIiJ/JSoIi4hIodLT0xk/fjzPPPMMR48eZcmSJcTGxhY5/v333ycwMJDHH3+ctWvXcvDgQd5++20ABg8ezGuvvUaPHj2YNWsW1atX5/vvv2fTpk1MmjSJ6tWrM2PGDJ599llcXV3p3LkzV69eJTk5mRdeeIEOHTrg6+vL4MGDWbRoEbdu3WLUqFG0adOGwMDAQvPx8vJizZo1BAYGkpWVxcSJE7G1tTUbc6cIHRwcjLW1NRUqVGDatGl069aNGjVq8OSTT1KuXDlOnDjBV199xZw5cx7cAxaRRy5tftfSTkFEREREpNSph7CIiBRq6NCh/PLLLzRr1oznn3+esWPH8vTTTxc5fubMmaxfv55GjRqxevVq3n33XdPuXTs7O7744gtq1KhB79698fHxYeTIkdy4ccO0Y3jYsGEsWrSIZcuW0aBBA7p168bZs2cBMBgMfPTRR1SoUIHWrVvToUMHatWqxYYNG4rM5+233+by5csEBAQwZMgQxowZg6urq9mY2NhYPvvsM9zd3U27mUNDQ9m6dSs7d+6kadOmtGjRgoULF1KzZs0/9DxFREREREREygJDQUFBQWknISIiZUtISAh+fn4sWrSoWOMNBgMffvghPXv2fKh5/ZlkZWVhNBrJzMwssk2GiIiIiIiIyINS3N+h2iEsIiIiIiIiIiIi8jehgrCIyJ+Ah4dHsXfrPkzh4eHaBSwiIiIiIiLyJ6aXyomIyF2SkpJKNP7P2n0oKSmJtm3bcvnyZZydnUs7HREREREREZGHTgVhEREpU27evImVlVVppyEi8pfkMWVbaafwUKXN71raKYiIiIiUeWoZISJSBoSEhDB69GhGjx6N0WikcuXKREdHm+28vX79OiNGjMDR0ZEaNWrw1ltvmcU4f/48/fr1w9nZmYoVK9KjRw/S0tJM1++0e1iwYAFubm5UqlSJ559/ntzcXABmzZpFw4YN78rNz8+P6Ojo35V3cWLeyWvu3LlUq1aNunXrArdfVLd582azec7OziQkJADQsmVLJk+ebHb94sWLlC9fni+++AKANWvWEBgYiKOjI1WrVmXQoEFcuHABgLS0NNq2bQtAhQoVMBgMhIeHA5Cfn09MTAyenp7Y2trSuHFjNm7cWOgzEBEREREREfkzUUFYRKSMWLVqFZaWlhw8eJC4uDhef/11Vq5caboeGxtLYGAgx44dY9SoUTz33HOcOXMGgNzcXEJDQ3F0dGTPnj0kJyfj4OBAWFgYN2/eNMXYtWsXqamp7Nq1i1WrVpGQkGAqsI4YMYKUlBQOHTpkGn/s2DFOnjzJ8OHDf1fexY2ZmJjImTNn+Oyzz9i6dWuxntfgwYNZv369WdF8w4YNVKtWjVatWpmey+zZszlx4gSbN28mLS3NVPR1d3fngw8+AODMmTNkZGQQFxcHQExMDKtXr+bNN9/k66+/5sUXX+Spp55i9+7dxcpNREREREREpKxSywgRkTLC3d2dhQsXYjAYqFu3LqdOnWLhwoVERkYC0KVLF0aNGgXA5MmTWbhwIbt27aJu3bps2LCB/Px8Vq5cicFgACA+Ph5nZ2eSkpLo1KkTcHsn7NKlS7GwsKBevXp07dqVxMREIiMjqV69OqGhocTHx9O0aVNTjDZt2lCrVq3flXdxY9rb27Ny5coStYro168f48aNY+/evaYC8Lp16xg4cKDpGYwYMcI0vlatWixevJimTZuSnZ2Ng4MDFStWBMDV1dXUQzgnJ4d58+bx+eefExQUZJq7d+9eli9fTps2bQrNJycnh5ycHNNxVlZWse9FRERERERE5FHRDmERkTKiRYsWpkImQFBQEGfPniUvLw+ARo0ama4ZDAaqVq1qan9w4sQJzp07h6OjIw4ODqZi540bN0hNTTXNa9CgARYWFqZjNzc3UwyAyMhI3n33XW7cuMHNmzdZt26dWVH19+RdnJi+vr4l7hvs4uJCp06dWLt2LQD/+c9/2LdvH4MHDzaNOXLkCN27d6dGjRo4Ojqairnp6elFxj137hzXr1+nY8eOpmfp4ODA6tWrzZ7lb8XExGA0Gk0fd3f3Et2PiIiIiIiIyKOgHcIiIn8S5cuXNzs2GAzk5+cDkJ2dTZMmTUzF0V9zcXEpVgyA7t27Y21tzYcffoiVlRW5ubk8+eSTfyjv4sS0t7e/a57BYDBrBwGY+h3fMXjwYMaMGcOSJUtYt24dvr6++Pr6AnDt2jVCQ0MJDQ1l7dq1uLi4kJ6eTmhoqFkbjd/Kzs4GYNu2bTz22GNm16ytrYucN3XqVMaPH286zsrKUlFYREREREREyhwVhEVEyogDBw6YHe/fv5//j707D+uqzv//fz+CIPBm01BQQVQQwVAwtdRcUidwIcVyi1RETFPGzMjlM5lbKijmOjmuQH5c2oyPk0sf9aOWZG4JZTFuI2IzlGUpg45IwO8Pf56v71hE09Dmcbuu93Vxznm9nq/nOXjJxdOXz+Pv72+1o7c8LVu25O2336Z27dq4uLjccQ62trYMHTqU5ORk7OzsGDhwIA4ODr8q7zuJCdcL2bm5uebxyZMnuXLlitWY3r178/zzz7N9+3bWr1/PkCFDzGt/+9vfuHDhAgkJCWZh9vDhw1bzb+xKvrGbGSAoKAh7e3tycnLKbQ9RFnt7+woLxiIiIiIiIiL3AxWERUTuEzk5OYwfP56RI0fy+eefs2TJEubPn1+puVFRUcybN4/evXszY8YM6tevz9mzZ9m0aRMTJkygfv36lc4jNjaWwMBAANLT0+9K3rcbE6BLly4sXbqUtm3bUlRUxMSJE0vtcHZycqJPnz5MmTKFrKwsBg0aZF7z8fHBzs6OJUuWMGrUKI4dO8bMmTOt5jdo0ADDMPjwww/p0aMHDg4OODs7Ex8fz0svvURxcTGPP/44ly5dIj09HRcXF4YOHVqp/EVE7kfZCT2rOgURERERqWLqISwicp8YMmQI//73v2nTpg1jxozhxRdf5Pnnn6/UXEdHRz7++GN8fHzo27cvgYGBDB8+nKtXr972jmF/f3/atWtH06ZNefTRR+9K3rcbE2D+/Pl4e3vToUMHnn32WeLj43F0dCw1LioqiszMTDp06ICPj4953sPDg5SUFN59912CgoJISEggKSnJam69evWYPn06kyZNok6dOsTFxQEwc+ZMpkyZwpw5cwgMDCQ8PJwtW7bQsGHDSuUuIiIiIiIicr8ySn7ZoFFERH5znTt3JiQkhIULF1Z1KpSUlODv78/o0aOteuKWpbJ5307M34u8vDxcXV25dOnSr2rjISIiIiIiIlIZlf09VC0jRETE9P3337Nx40a+/fZbhg0bdt/GFBEREREREZE7o4KwiIiYateuzUMPPcSKFStwd3e/b2OKiIiIiIiIyJ1RywgRkTvk6+vLuHHjGDduXJXmER0dzcWLF0lLSwPur/YTd9Pq1at5++23+d///d/fdN1JkyZx+fJllixZclvz1DJCREREREREfkuV/T1UL5UTEZEKRUdH06dPn9ueN23aNEJCQu5KDlevXmXKlClMnTrVKr5hGBiGga2tLb6+vrz00kvk5+cDkJ2djWEYZGRk3DL+yJEjsbGx4d133y11LT4+ntTUVP7+97/flXsRERERERERqUpqGSEiIve99957DxcXF9q3b291vlmzZuzcuZOff/6Z9PR0YmJiuHLlCsuXL6907CtXrrBx40YmTJjAmjVr6Nevn9X1hx56iLCwMJYtW8a8efPuyv2IiNxrvpO2lHk+O6Hnb5yJiIiIiNxvtENYRKQMnTt3Ji4ujri4OFxdXXnooYeYMmUKv+yyc+XKFWJiYnB2dsbHx4cVK1ZYXT937hz9+/fHzc2NmjVr0rt3b7Kzs83rN3bfJiUl4eXlRa1atRgzZgyFhYUAzJgxg4cffrhUfiEhIUyZMqVS97J27VpatWqFs7Mznp6ePPvss5w/f95qzFdffUWvXr1wcXHB2dmZDh06cPr0aaZNm0Zqair/8z//Y+7G3bNnDwATJ06kSZMmODo60qhRI6ZMmWLmnZKSwvTp08nMzDTnpaSkAHDx4kViY2Px8PDAxcWFLl26kJmZWeE9bNy4kYiIiFLnbW1t8fT0pH79+gwYMICoqCg2b95cqedyw7vvvktQUBCTJk3i448/5ty5c6XGREREsHHjxtuKKyIiIiIiInI/UkFYRKQcqamp2NracvDgQRYtWsQbb7zBqlWrrMbMnz+fVq1acfToUUaPHs0LL7zA8ePHASgsLCQsLAxnZ2c++eQT0tPTsVgshIeHc+3aNTPG7t27OX36NLt37yY1NZWUlBSzeBoTE0NWVhaHDh0yxx89epQvvviCYcOGVeo+CgsLmTlzJpmZmaSlpZGdnU10dLR5/R//+AcdO3bE3t6e//u//+PIkSPExMTw888/Ex8fT//+/QkPDyc3N5fc3FzatWsHgLOzMykpKXz99dcsWrSIlStXsmDBAgAGDBjAyy+/TLNmzcx5AwYMAKBfv36cP3+ebdu2ceTIEVq2bEnXrl358ccfy72Hffv20apVq1veq4ODg9WzrYzVq1fz3HPP4erqSvfu3c1nf7M2bdrwzTffWBXzRURERERERB5EahkhIlIOb29vFixYgGEYBAQE8OWXX7JgwQJGjBhhjunRowejR48Gru+YXbBgAbt37yYgIIC3336b4uJiVq1ahWEYACQnJ+Pm5saePXt48sknAXB3d2fp0qXY2NjQtGlTevbsya5duxgxYgT169cnLCyM5ORkWrdubcbo1KkTjRo1qtR9xMTEmF83atSIxYsX07p1a/Lz87FYLPz5z3/G1dWVjRs3Ur16dQCaNGliznFwcKCgoABPT0+ruK+++qr5ta+vL/Hx8WbrBQcHBywWi7mD94Z9+/Zx8OBBzp8/j729PQBJSUmkpaXx3nvv8fzzz5fK/+LFi1y6dIm6detWeJ9Hjhxh/fr1dOnSpVLPBeDkyZN89tlnbNq0CYDnnnuO8ePH8+qrr5rfM8Bc++zZs/j6+pYZq6CggIKCAvM4Ly+v0nmIiIiIiIiI/Fa0Q1hEpByPPfaYVVGwbdu2nDx5kqKiIvNc8+bNza8Nw8DT09Nsx5CZmcmpU6dwdnbGYrFgsVioWbMmV69e5fTp0+a8Zs2aYWNjYx57eXlZtXQYMWIEGzZs4OrVq1y7do3169dbFXlv5ciRI0RERODj44OzszOdOnUCICcnB4CMjAw6dOhgFoMr6+2336Z9+/Z4enpisVh49dVXzZjlyczMJD8/n1q1apnPxGKxcObMGatncrN///vfANSoUaPUtS+//BKLxYKDgwNt2rShbdu2LF26tNL3sGbNGsLCwnjooYeA6wX+S5cu8X//939W4xwcHIDrLULKM2fOHFxdXc2Pt7d3pfMQERERERER+a1oh7CIyK/wyyKqYRgUFxcDkJ+fzyOPPMK6detKzfPw8KhUDLjev9be3p4PPvgAOzs7CgsLeeaZZyqV3+XLlwkLCyMsLIx169bh4eFBTk4OYWFhZmuFG8XO27F//36ioqKYPn06YWFh5g7j+fPnVzgvPz8fLy8vsw/xzdzc3MqcU6tWLQzD4Keffip1LSAggM2bN2Nra0vdunWxs7Or9D0UFRWRmprKt99+i62trdX5NWvW0LVrV/PcjXYWN3/ffmny5MmMHz/ePM7Ly1NRWERERERERO47KgiLiJTjwIEDVsefffYZ/v7+Vrt5K9KyZUvefvttateujYuLyx3nYWtry9ChQ0lOTsbOzo6BAwdWuoj7t7/9jQsXLpCQkGAWJw8fPmw1pnnz5qSmplJYWFjmLmE7OzurXdEAn376KQ0aNOBPf/qTee7s2bO3nNeyZUuzAFte64Wy1g8KCuLrr78222zcfM3Pz69ScX5p69at/Otf/+Lo0aNW39Njx44xbNgwLl68aBapjx07RvXq1WnWrFm58ezt7c02GCIiIiIiIiL3KxWERUTKkZOTw/jx4xk5ciSff/45S5YsueUO2JtFRUUxb948evfuzYwZM6hfvz5nz55l06ZNTJgwgfr161c6VmxsLIGBgQCkp6dXep6Pjw92dnYsWbKEUaNGcezYMWbOnGk1Ji4ujiVLljBw4EAmT56Mq6srn332GW3atCEgIABfX18++ugjjh8/Tq1atXB1dcXf35+cnBw2btxI69at2bJlCx988IFVXF9fX86cOUNGRgb169fH2dmZbt260bZtW/r06cPcuXNp0qQJ//znP9myZQuRkZHlvjguLCyMffv2MW7cuErf+w03XvJ3s2bNmrF69Wp69uxJixYtrK4FBQXx0ksvsW7dOsaMGQPAJ598QocOHe5oN7WISFXITuhZ1SmIiIiIyH1KPYRFRMoxZMgQ/v3vf9OmTRvGjBnDiy++WOZLz8rj6OjIxx9/jI+PD3379iUwMJDhw4dz9erV294x7O/vT7t27WjatCmPPvpoped5eHiQkpLCu+++S1BQEAkJCSQlJVmNqVWrFv/3f/9Hfn4+nTp14pFHHmHlypXmbuERI0YQEBBAq1at8PDwID09naeeeoqXXnqJuLg4QkJC+PTTT5kyZYpV3Keffprw8HCeeOIJPDw82LBhA4ZhsHXrVjp27MiwYcNo0qQJAwcO5OzZs9SpU6fc+xg+fDhbt27l0qVLt/HUrhs4cCChoaFWnxtF6KeffrrU+GrVqhEZGcnq1avNcxs3brR6maCIiIiIiIjIg8ooKSkpqeokRETuN507dyYkJISFCxdWdSoAlJSU4O/vz+jRo6361P4n6devHy1btmTy5Mm/6brbtm3j5Zdf5osvvrDqNXwreXl5uLq6cunSpV/VMkRERERERESkMir7e6h2CIuI3Oe+//57li5dyrfffsuwYcOqOp0qM2/ePCwWy2++7uXLl0lOTr6tYrCIiIiIiIjI/Uq/3YqI3Odq167NQw89xIoVK3B3d6/qdKqMr68vf/zjH3/zdZ955pnffE0RERERERGRe0U7hEVEyrBnz577ql3E999/z7PPPlup8b6+vvdF7tHR0fTp06fS47OzszEMg4yMjLuax/3yPERERERERETuB9ohLCIiv2uHDh3CycmpqtMQERERERERuS+oICwiIr9rHh4eVZ2CiMh9w3fSlqpO4TeXndCzqlMQERERua+oZYSIyAOmc+fOxMXFERcXh6urKw899BBTpkyhpKTEHHPlyhViYmJwdnbGx8eHFStWWMU4d+4c/fv3x83NjZo1a9K7d2+ys7PN6zfaPSQlJeHl5UWtWrUYM2YMhYWFAMyYMYOHH364VG4hISFMmTKlzLy3b9/O448/jpubG7Vq1aJXr16cPn263PssKipi+PDhNGzYEAcHBwICAli0aJHVmFvlCaVbRhiGwapVq4iMjMTR0RF/f382b95sFffYsWN0794di8VCnTp1GDx4MD/88EO5uYqIiIiIiIg8KFQQFhF5AKWmpmJra8vBgwdZtGgRb7zxBqtWrTKvz58/n1atWnH06FFGjx7NCy+8wPHjxwEoLCwkLCwMZ2dnPvnkE9LT07FYLISHh3Pt2jUzxu7duzl9+jS7d+8mNTWVlJQUUlJSAIiJiSErK4tDhw6Z448ePcoXX3zBsGHDysz58uXLjB8/nsOHD7Nr1y6qVatGZGQkxcXFZY4vLi6mfv36vPvuu3z99de89tpr/Nd//RfvvPOO1biK8izP9OnT6d+/P1988QU9evQgKiqKH3/8EYCLFy/SpUsXQkNDOXz4MNu3b+e7776jf//+FcYUEREREREReRCoZYSIyAPI29ubBQsWYBgGAQEBfPnllyxYsIARI0YA0KNHD0aPHg3AxIkTWbBgAbt37yYgIIC3336b4uJiVq1ahWEYACQnJ+Pm5saePXt48sknAXB3d2fp0qXY2NjQtGlTevbsya5duxgxYgT169cnLCyM5ORkWrdubcbo1KkTjRo1KjPnp59+2up4zZo1eHh48PXXX5e527h69epMnz7dPG7YsCH79+/nnXfesSrOVpRneaKjoxk0aBAAs2fPZvHixRw8eJDw8HCWLl1KaGgos2fPtsrV29ubEydO0KRJkzJjFhQUUFBQYB7n5eWVu76IiIiIiIhIVdEOYRGRB9Bjjz1mFnMB2rZty8mTJykqKgKgefPm5jXDMPD09OT8+fMAZGZmcurUKZydnbFYLFgsFmrWrMnVq1etWjg0a9YMGxsb89jLy8uMATBixAg2bNjA1atXuXbtGuvXrycmJqbcnE+ePMmgQYNo1KgRLi4u+Pr6ApCTk1PunD//+c888sgjeHh4YLFYWLFiRanxt8qzLDc/HycnJ1xcXKyez+7du81nY7FYaNq0KUCFLS7mzJmDq6ur+fH29q4wBxEREREREZGqoB3CIiK/Q9WrV7c6NgzDbM2Qn5/PI488wrp160rNu/kFbBXFAIiIiMDe3p4PPvgAOzs7CgsLeeaZZ8rNKSIiggYNGrBy5Urq1q1LcXExDz/8sFWbiptt3LiR+Ph45s+fT9u2bXF2dmbevHkcOHCg0vdanls9n4iICBITE0vN8/LyKjfm5MAuT/EAAQAASURBVMmTGT9+vHmcl5enorCIiIiIiIjcd1QQFhF5AP2yKPrZZ5/h7+9vtVO2PC1btuTtt9+mdu3auLi43HEOtra2DB06lOTkZOzs7Bg4cCAODg5ljr1w4QLHjx9n5cqVdOjQAYB9+/ZVGD89PZ127dqZrS+g4h26d0vLli15//338fX1xda28j8m7e3tsbe3v4eZiYiIiIiIiPx6KgiLiDyAcnJyGD9+PCNHjuTzzz9nyZIlzJ8/v1Jzo6KimDdvHr1792bGjBnUr1+fs2fPsmnTJiZMmED9+vUrnUdsbCyBgYHA9QJuedzd3alVqxYrVqzAy8uLnJwcJk2aVGFsf39/3nrrLT766CMaNmzI2rVrOXToEA0bNqx0fndizJgxrFy5kkGDBjFhwgRq1qzJqVOn2LhxI6tWrapU0V1E5H6VndCzqlMQERERkSqmHsIiIg+gIUOG8O9//5s2bdowZswYXnzxRZ5//vlKzXV0dOTjjz/Gx8eHvn37EhgYyPDhw7l69ept7xj29/enXbt2NG3alEcffbTccdWqVWPjxo0cOXKEhx9+mJdeeol58+ZVGHvkyJH07duXAQMG8Oijj3LhwgWr3cL3St26dUlPT6eoqIgnn3yS4OBgxo0bh5ubG9Wq6cemiIiIiIiIPNiMkpKSkqpOQkREKq9z586EhISwcOHCqk6FkpIS/P39GT16tFX/XLneQ9jV1ZVLly79qtYcIiIiIiIiIpVR2d9D1TJCRETuyPfff8/GjRv59ttvGTZsWFWnIyIiIiIiIiKVoIKwiIjckdq1a/PQQw+xYsUK3N3dqzodEREREREREakENUMUEXnA7Nmzp8J2Eb6+vr9JO4mSkhK+//57nn322TKvp6Sk4Obmds/W37NnD4ZhcPHiRfNcWloafn5+2NjYMG7cuHu2toiIiIiIiMiDSgVhERH53Rg5ciTPPPMM586dY+bMmZWa07lzZxWPRURERERE5D+GWkaIiMjvQn5+PufPnycsLIy6detWdToiIvcl30lbqjqFCmUn9KzqFERERER+97RDWETkAdK5c2fi4uKIi4vD1dWVhx56iClTplBSUmI17sqVK8TExODs7IyPjw8rVqywun7u3Dn69++Pm5sbNWvWpHfv3mRnZ5vXo6Oj6dOnD0lJSXh5eVGrVi3GjBlDYWGhOeann35iyJAhuLu74+joSPfu3Tl58mSl7+XatWvExcXh5eVFjRo1aNCgAXPmzAEgOzsbwzDIyMgwx1+8eBHDMNizZ0+pWHv27MHZ2RmALl26mOMuXLjAoEGDqFevHo6OjgQHB7Nhwwar+9y7dy+LFi3CMAwMwzCfw7Fjx+jevTsWi4U6deowePBgfvjhh0rfn4iIiIiIiMj9SAVhEZEHTGpqKra2thw8eJBFixbxxhtvsGrVKqsx8+fPp1WrVhw9epTRo0fzwgsvcPz4cQAKCwsJCwvD2dmZTz75hPT0dCwWC+Hh4Vy7ds2MsXv3bk6fPs3u3btJTU0lJSWFlJQU83p0dDSHDx9m8+bN7N+/n5KSEnr06GFVNK7I4sWL2bx5M++88w7Hjx9n3bp1+Pr63tEzadeunXl/77//Prm5ubRr146rV6/yyCOPsGXLFo4dO8bzzz/P4MGDOXjwIACLFi2ibdu2jBgxgtzcXHJzc/H29ubixYt06dKF0NBQDh8+zPbt2/nuu+/o37//HeUnIiIiIiIicr9QywgRkQeMt7c3CxYswDAMAgIC+PLLL1mwYAEjRowwx/To0YPRo0cDMHHiRBYsWMDu3bsJCAjg7bffpri4mFWrVmEYBgDJycm4ubmxZ88ennzySQDc3d1ZunQpNjY2NG3alJ49e7Jr1y5GjBjByZMn2bx5M+np6bRr1w6AdevW4e3tTVpaGv369bvlfeTk5ODv78/jjz+OYRg0aNDgjp+JnZ0dtWvXBqBmzZp4enoCUK9ePeLj481xf/zjH/noo4945513aNOmDa6urtjZ2eHo6GjOAVi6dCmhoaHMnj3bPLdmzRq8vb05ceIETZo0KZVDQUEBBQUF5nFeXt4d34+IiIiIiIjIvaIdwiIiD5jHHnvMLOQCtG3blpMnT1JUVGSea968ufm1YRh4enpy/vx5ADIzMzl16hTOzs5YLBYsFgs1a9bk6tWrnD592pzXrFkzbGxszGMvLy8zRlZWFra2tjz66KPm9Vq1ahEQEEBWVlal7iM6OpqMjAwCAgIYO3Ys//u//3ubT+LWioqKmDlzJsHBwdSsWROLxcJHH31ETk5OhfMyMzPZvXu3+XwsFgtNmzYFsHpGN5szZw6urq7mx9vb+67fj4iIiIiIiMivpR3CIiK/Q9WrV7c6NgyD4uJi4PrL1x555BHWrVtXap6Hh0elYtwNLVu25MyZM2zbto2dO3fSv39/unXrxnvvvUe1atf/vfLm3siVbUVxs3nz5rFo0SIWLlxIcHAwTk5OjBs3zqo1Rlny8/OJiIggMTGx1DUvL68y50yePJnx48ebx3l5eSoKi4iIiIiIyH1HBWERkQfMgQMHrI4/++wz/P39rXbzVqRly5a8/fbb1K5dGxcXlzvKITAwkJ9//pkDBw6YLSMuXLjA8ePHCQoKqnQcFxcXBgwYwIABA3jmmWcIDw/nxx9/NAvTubm5hIaGAli9YK6y0tPT6d27N8899xwAxcXFnDhxwipHOzs7q93VcP0Zvf/++/j6+mJrW7kflfb29tjb2992jiIiIiIiIiK/JRWERUQeMDk5OYwfP56RI0fy+eefs2TJEubPn1/p+VFRUcybN4/evXszY8YM6tevz9mzZ9m0aRMTJkygfv36t4zh7+9P7969GTFiBMuXL8fZ2ZlJkyZRr149evfuXak83njjDby8vAgNDaVatWq8++67eHp64ubmRrVq1XjsscdISEigYcOGnD9/nldffbXS93hznu+99x6ffvop7u7uvPHGG3z33XdWBWFfX18OHDhAdna22T5jzJgxrFy5kkGDBjFhwgRq1qzJqVOn2LhxI6tWrap08V1E5H6TndCzqlMQERERkSqmHsIiIg+YIUOG8O9//5s2bdowZswYXnzxRZ5//vlKz3d0dOTjjz/Gx8eHvn37EhgYyPDhw7l69ept7RhOTk7mkUceoVevXrRt25aSkhK2bt1aqtVEeZydnZk7dy6tWrWidevWZGdns3XrVrNdxJo1a/j555955JFHGDduHK+//nqlc7vh1VdfpWXLloSFhdG5c2c8PT3p06eP1Zj4+HhsbGwICgrCw8ODnJwc6tatS3p6OkVFRTz55JMEBwczbtw4s1gtIiIiIiIi8qAySm5u0CgiIve1zp07ExISwsKFC6s6FbmFvLw8XF1duXTp0h235hARERERERGprMr+HqptTiIiIiIiIiIiIiL/IVQQFhEREREREREREfkPoYKwiMgDZM+ePf9R7SIMwyAtLa3CMdHR0aX6Av+Sr6/vf9RzExERERERESmPbVUnICIiUp7c3Fzc3d0ByM7OpmHDhhw9epSQkJDbinPo0CGcnJzuQYYiIiIiIiIiDxYVhEVE5DdVUlJCUVERtra3/hHk6el5V9b08PC4K3FERB50vpO2VHUKIvdcdkLPqk5BRETkvqaWESIi8qsVFBQwduxYateuTY0aNXj88cc5dOgQcL3NhWEYbNu2jUceeQR7e3v27dtH586dGTt2LBMmTKBmzZp4enoybdo0q7g3t4xo2LAhAKGhoRiGQefOna3GJiUl4eXlRa1atRgzZgyFhYXmtV+2jDAMg1WrVhEZGYmjoyP+/v5s3rzZKt6xY8fo3r07FouFOnXqMHjwYH744Ye788BEREREREREqogKwiIi8qtNmDCB999/n9TUVD7//HP8/PwICwvjxx9/NMdMmjSJhIQEsrKyaN68OQCpqak4OTlx4MAB5s6dy4wZM9ixY0eZaxw8eBCAnTt3kpuby6ZNm8xru3fv5vTp0+zevZvU1FRSUlJISUmpMOfp06fTv39/vvjiC3r06EFUVJSZ78WLF+nSpQuhoaEcPnyY7du3891339G/f/9y4xUUFJCXl2f1EREREREREbnfqCAsIiK/yuXLl1m2bBnz5s2je/fuBAUFsXLlShwcHFi9erU5bsaMGfzhD3+gcePG1KxZE4DmzZszdepU/P39GTJkCK1atWLXrl1lrnOj7UOtWrXw9PQ0YwC4u7uzdOlSmjZtSq9evejZs2e5cW6Ijo5m0KBB+Pn5MXv2bPLz882i89KlSwkNDWX27Nk0bdqU0NBQ1qxZw+7duzlx4kSZ8ebMmYOrq6v58fb2rvxDFBEREREREfmNqCAsIiK/yunTpyksLKR9+/bmuerVq9OmTRuysrLMc61atSo198ZO4Ru8vLw4f/78befQrFkzbGxsbivOzWs7OTnh4uJizsnMzGT37t1YLBbz07RpU+D6/ZZl8uTJXLp0yfycO3futu9DRERERERE5F7TS+VEROQ34eTkVOpc9erVrY4Nw6C4uPi2Y99JnIrm5OfnExERQWJiYql5Xl5eZcazt7fH3t7+dtIWERERERER+c2pICwiIr9K48aNsbOzIz09nQYNGgBQWFjIoUOHGDdu3F1bx87ODoCioqK7FrM8LVu25P3338fX1xdbW/2oFBERERERkd8P/ZYrIiK/ipOTEy+88AKvvPIKNWvWxMfHh7lz53LlyhWGDx9OZmbmXVmndu3aODg4sH37durXr0+NGjVwdXW9K7F/acyYMaxcuZJBgwYxYcIEatasyalTp9i4cSOrVq2yak8hIvIgyU7oWdUpiIiIiEgVUw9hERH51RISEnj66acZPHgwLVu25NSpU3z00Ue4u7vftTVsbW1ZvHgxy5cvp27duvTu3fuuxf6lunXrkp6eTlFREU8++STBwcGMGzcONzc3qlXTj04RERERERF5cBklJSUlVZ2EiIjI701eXh6urq5cunQJFxeXqk5HREREREREfucq+3uotjmJiIiIiIiIiIiI/IdQQVhERERERERERETkP4QKwiJy39izZw+GYXDx4sUqWd/X15eFCxdWeYzf0v2a7/2al4iIiIiIiMiDTgVhEbml6OhoDMMgISHB6nxaWhqGYVQ4d9q0aYSEhFRqnXbt2pGbm4urq+udplopKSkpuLm53dM1KlrbMAyrT40aNaokF4BDhw7x/PPPV9n6VS07OxvDMMjIyKjqVERERERERER+E7ZVnYCIPBhq1KhBYmIiI0eOxN3d/a7HLywsxM7ODk9Pz7se+37j4uLC8ePHzeNbFdXvJQ8Pjypb+166du0adnZ2VZ2GiFQB30lbqjqF+1p2Qs+qTkFEREREqph2CItIpXTr1g1PT0/mzJlT6TkpKSlMnz6dzMxMczdsSkoKcL0IumzZMp566imcnJyYNWtWqZYRN3byfvjhhwQEBODo6MgzzzzDlStXSE1NxdfXF3d3d8aOHUtRUZG5bkFBAfHx8dSrVw8nJyceffRR9uzZA1xvSzFs2DAuXbpk5jRt2jRz7pUrV4iJicHZ2RkfHx9WrFhhXuvSpQtxcXFW9/j9999jZ2fHrl27Kv1cDMPA09PT/NSpU+eWc9544w2Cg4NxcnLC29ub0aNHk5+fb/Ws7+RZ/bI1g2EYrFq1isjISBwdHfH392fz5s1Wuezdu5c2bdpgb2+Pl5cXkyZN4ueffwZgxYoV1K1bl+LiYqs5vXv3JiYmBoDTp0/Tu3dv6tSpg8VioXXr1uzcubPC+7948SKxsbF4eHjg4uJCly5dyMzMNK/f2Im+atUqGjZsaO663r59O48//jhubm7UqlWLXr16cfr0aXNew4YNAQgNDcUwDDp37mxeW7VqFYGBgdSoUYOmTZvy5ptvVpijiIiIiIiIyINABWERqRQbGxtmz57NkiVL+Oabbyo1Z8CAAbz88ss0a9aM3NxccnNzGTBggHl92rRpREZG8uWXX5rFwl+6cuUKixcvZuPGjWzfvp09e/YQGRnJ1q1b2bp1K2vXrmX58uW899575py4uDj279/Pxo0b+eKLL+jXrx/h4eGcPHmSdu3asXDhQlxcXMyc4uPjzbnz58+nVatWHD16lNGjR/PCCy+Yu3ljY2NZv349BQUF5vj//u//pl69enTp0qXSzzI/P58GDRrg7e1N7969+eqrr245p1q1aixevJivvvqK1NRU/u///o8JEyb86mdVlunTp9O/f3+++OILevToQVRUFD/++CMA//jHP+jRowetW7cmMzOTZcuWsXr1al5//XUA+vXrx4ULF9i9e7cZ78cff2T79u1ERUWZ99+jRw927drF0aNHCQ8PJyIigpycnHJz6tevH+fPn2fbtm0cOXKEli1b0rVrVzMvgFOnTvH++++zadMmswXE5cuXGT9+PIcPH2bXrl1Uq1aNyMhIs2B98OBBAHbu3Elubi6bNm0CYN26dbz22mvMmjWLrKwsZs+ezZQpU0hNTS03x4KCAvLy8qw+IiIiIiIiIvcbFYRFpNIiIyMJCQlh6tSplRrv4OCAxWLB1tbW3A3r4OBgXn/22WcZNmwYjRo1wsfHp8wYhYWFLFu2jNDQUDp27MgzzzzDvn37WL16NUFBQfTq1YsnnnjCLEDm5OSQnJzMu+++S4cOHWjcuDHx8fE8/vjjJCcnY2dnh6urq9UuXYvFYq7Xo0cPRo8ejZ+fHxMnTuShhx4yY/ft2xeA//mf/zHHp6SkmD2WKyMgIIA1a9bwP//zP/z3f/83xcXFtGvX7pZF9nHjxvHEE0/g6+tLly5deP3113nnnXd+1bMqT3R0NIMGDcLPz4/Zs2eTn59vFk7ffPNNvL29Wbp0KU2bNqVPnz5Mnz6d+fPnU1xcjLu7O927d2f9+vVmvPfee4+HHnqIJ554AoAWLVowcuRIHn74Yfz9/Zk5cyaNGzcutRP5hn379nHw4EHeffddWrVqhb+/P0lJSbi5uVkVt69du8Zbb71FaGgozZs3B+Dpp5+mb9+++Pn5ERISwpo1a/jyyy/5+uuvgf/XMqNWrVp4enpSs2ZNAKZOncr8+fPp27cvDRs2pG/fvrz00kssX7683Oc2Z84cXF1dzY+3t3eFz1lERERERESkKqggLCK3JTExkdTUVLKyskpds1gs5mfUqFG3jNWqVatbjnF0dKRx48bmcZ06dfD19bUq4tapU4fz588D8OWXX1JUVESTJk2s8tm7d69Vq4Dy3Cgkwv9r7XAjdo0aNRg8eDBr1qwB4PPPP+fYsWNER0ffMu4Nbdu2ZciQIYSEhNCpUyc2bdqEh4eHWWicPXu2Vd43ds3u3LmTrl27Uq9ePZydnRk8eDAXLlzgypUrd/ysKvMMnJyccHFxMedkZWXRtm1bqwJ4+/btyc/PN4vaUVFRvP/+++ZO6nXr1jFw4ECqVbv+Iyc/P5/4+HgCAwNxc3PDYrGQlZVV7g7hzMxM8vPzqVWrltWzOXPmjNX3tEGDBqV6Ip88eZJBgwbRqFEjXFxc8PX1BahwN/Lly5c5ffo0w4cPt1rv9ddfr/DP0OTJk7l06ZL5OXfuXLljRURERERERKqKXionIrelY8eOhIWFMXny5FKF0Bv/TR+uvzjtVpycnG45pnr16lbHhmGUee5GC4D8/HxsbGw4cuQINjY2VuNuLozezno398ONjY0lJCSEb775huTkZLp06UKDBg1uGbei9UJDQzl16hQAo0aNon///ub1unXrkp2dTa9evXjhhReYNWsWNWvWZN++fQwfPpxr167h6OhYbu63up/ycrrdOTeLiIigpKSELVu20Lp1az755BMWLFhgXo+Pj2fHjh0kJSXh5+eHg4MDzzzzDNeuXSszXn5+Pl5eXmYf6Ju5ubmZX5f15ykiIoIGDRqwcuVKs7fxww8/XO5aN9YDWLlyJY8++qjVtV/+mbqZvb099vb25V4XERERERERuR+oICwity0hIYGQkBACAgKszvv5+ZUaa2dnZ/USs3stNDSUoqIizp8/T4cOHcoc82tyCg4OplWrVqxcuZL169ezdOnSX5MuRUVFfPnll/To0QOAmjVrmm0Lbjhy5AjFxcXMnz/f3GX7y3YRv5XAwEDef/99SkpKzF3C6enpODs7U79+feD6Tuq+ffuybt06Tp06RUBAAC1btjRjpKenEx0dTWRkJHC9AJudnV3umi1btuTbb7/F1tbW3OFbGRcuXOD48eOsXLnS/LOwb98+qzF2dnYAVn8e6tSpQ926dfn73/9u9j0WERERERER+b1QQVhEbltwcDBRUVEsXrz4lmN9fX05c+YMGRkZ1K9fH2dn53u6i7JJkyZERUUxZMgQ5s+fT2hoKN9//z27du2iefPm9OzZE19fX/Lz89m1axctWrTA0dHR3GVbGbGxscTFxeHk5GQWNStrxowZPPbYY/j5+XHx4kXmzZvH2bNniY2NLXeOn58fhYWFLFmyhIiICNLT0/nLX/5yW+veLaNHj2bhwoX88Y9/JC4ujuPHjzN16lTGjx9vFqvhetuIXr168dVXX/Hcc89ZxfD392fTpk1ERERgGAZTpkypcAdyt27daNu2LX369GHu3Lk0adKEf/7zn2zZsoXIyMhyW4+4u7tTq1YtVqxYgZeXFzk5OUyaNMlqTO3atXFwcGD79u3Ur1+fGjVq4OrqyvTp0xk7diyurq6Eh4dTUFDA4cOH+emnnxg/fvyveIIicq9lJ/Ss6hRERERERO5r6iEsIndkxowZlWoj8PTTTxMeHs4TTzyBh4cHGzZsuOe5JScnM2TIEF5++WUCAgLo06cPhw4dMl9c165dO0aNGsWAAQPw8PBg7ty5txV/0KBB2NraMmjQIGrUqHFbc3/66SdGjBhBYGAgPXr0IC8vj08//ZSgoKBy57Ro0YI33niDxMREHn74YdatW8ecOXNua927pV69emzdupWDBw/SokULRo0axfDhw3n11VetxnXp0oWaNWty/Phxnn32Watrb7zxBu7u7rRr146IiAjCwsKsdhD/kmEYbN26lY4dOzJs2DCaNGnCwIEDOXv2LHXq1Cl3XrVq1di4cSNHjhzh4Ycf5qWXXmLevHlWY2xtbVm8eDHLly+nbt269O7dG7he9F+1ahXJyckEBwfTqVMnUlJSaNiw4e0+MhEREREREZH7ilFSUlJS1UmIiDxIsrOzady4MYcOHaqwkCn/2fLy8nB1deXSpUuV6qktIiIiIiIi8mtU9vdQtYwQEamkwsJCLly4wKuvvspjjz2mYrCIiIiIiIiIPHDUMkJEpJLS09Px8vLi0KFDVdbDV0RERERERETk11BBWESkkjp37kxJSQnHjx8nODi4qtP5TRmGQVpaWpXHqIw9e/ZgGAYXL14EICUlBTc3t3u+roiIiIiIiMiDQAVhEZEqFB0djWEYJCQkWJ1PS0vDMIzfPJ9p06YREhLym697Lw0YMIATJ05UdRoiIiIiIiIi9wX1EBYRqWI1atQgMTGRkSNH4u7uXtXp3LdKSkooKirC1vb2fnQ5ODjg4OBwj7ISEXmw+E7ackfzshN63uVMRERERKSqaIewiEgV69atG56ensyZM6fSc27s5F2zZg0+Pj5YLBZGjx5NUVERc+fOxdPTk9q1azNr1iyreRcvXiQ2NhYPDw9cXFzo0qULmZmZwPXWCtOnTyczMxPDMDAMg5SUFHPuDz/8QGRkJI6Ojvj7+7N582bgeqHWz8+PpKQkq7UyMjIwDINTp06Vyj87OxvDMNi4cSPt2rWjRo0aPPzww+zdu9ccc6P1w7Zt23jkkUewt7dn3759FBQUMHbsWGrXrk2NGjV4/PHHOXToULnP6pctI248u7Vr1+Lr64urqysDBw7kX//6lzmmuLiYOXPm0LBhQxwcHGjRogXvvfferb8xIiIiIiIiIvc5FYRFRKqYjY0Ns2fPZsmSJXzzzTeVnnf69Gm2bdvG9u3b2bBhA6tXr6Znz55888037N27l8TERF599VUOHDhgzunXrx/nz59n27ZtHDlyhJYtW9K1a1d+/PFHBgwYwMsvv0yzZs3Izc0lNzeXAQMGmHOnT59O//79+eKLL+jRowdRUVH8+OOPGIZBTEwMycnJVvklJyfTsWNH/Pz8yr2HV155hZdffpmjR4/Stm1bIiIiuHDhgtWYSZMmkZCQQFZWFs2bN2fChAm8//77pKam8vnnn+Pn50dYWBg//vjjbT27tLQ0PvzwQz788EP27t1r1bZjzpw5vPXWW/zlL3/hq6++4qWXXuK5556zKlj/UkFBAXl5eVYfERERERERkfuNCsIiIveByMhIQkJCmDp1aqXnFBcXs2bNGoKCgoiIiOCJJ57g+PHjLFy4kICAAIYNG0ZAQAC7d+8GYN++fRw8eJB3332XVq1a4e/vT1JSEm5ubrz33ns4ODhgsViwtbXF09MTT09Pq1YL0dHRDBo0CD8/P2bPnk1+fj4HDx40rx0/ftw8LiwsZP369cTExFR4D3FxcTz99NMEBgaybNkyXF1dWb16tdWYGTNm8Ic//IHGjRtjb2/PsmXLmDdvHt27dycoKIiVK1fi4OBQat6tnl1KSgoPP/wwHTp0YPDgwezatQu4XtidPXs2a9asISwsjEaNGhEdHc1zzz3H8uXLy405Z84cXF1dzY+3t3el8xERERERERH5raggLCJyn0hMTCQ1NZWsrCyr8xaLxfyMGjXKPO/r64uzs7N5XKdOHYKCgqhWrZrVufPnzwOQmZlJfn4+tWrVsop55swZTp8+fcv8mjdvbn7t5OSEi4uLGbtu3br07NmTNWvWAPDXv/6VgoIC+vXrV2HMtm3bml/b2trSqlWrUvffqlUr8+vTp09TWFhI+/btzXPVq1enTZs2peZV5JfPzsvLy7yXU6dOceXKFf7whz9YPae33nqrwuc0efJkLl26ZH7OnTtX6XxEREREREREfit6qZyIyH2iY8eOhIWFMXnyZKKjo83zGRkZ5tcuLi7m19WrV7eabxhGmeeKi4sByM/Px8vLiz179pRa++Yeu+WpKDZAbGwsgwcPZsGCBSQnJzNgwAAcHR1vGfdWnJycfnWMX7rVcwLYsmUL9erVsxpnb29fbkx7e/sKr4uIiIiIiIjcD1QQFhG5jyQkJBASEkJAQIB5rqIevLejZcuWfPvtt9ja2uLr61vmGDs7O4qKiu4ofo8ePXBycmLZsmVs376djz/++JZzPvvsMzp27AjAzz//zJEjR4iLiyt3fOPGjbGzsyM9PZ0GDRoA19tTHDp0iHHjxt1R3r8UFBSEvb09OTk5dOrU6a7EFBEREREREblfqCAsInIfCQ4OJioqisWLF9/12N26daNt27b06dOHuXPn0qRJE/75z3+yZcsWIiMjadWqFb6+vpw5c4aMjAzq16+Ps7NzpXe92tjYEB0dzeTJk/H397dqB1GeP//5z/j7+xMYGMiCBQv46aefKuw77OTkxAsvvMArr7xCzZo18fHxYe7cuVy5coXhw4dX+llUxNnZmfj4eF566SWKi4t5/PHHuXTpEunp6bi4uDB06NC7so6ISFXITuhZ1SmIiIiISBVTD2ERkfvMjBkzrFox3C2GYbB161Y6duzIsGHDaNKkCQMHDuTs2bPUqVMHgKeffprw8HCeeOIJPDw82LBhw22tMXz4cK5du8awYcMqNT4hIYGEhARatGjBvn372Lx5Mw899NAt5zz99NMMHjyYli1bcurUKT766CPc3d1vK9eKzJw5kylTpjBnzhwCAwMJDw9ny5YtNGzY8K6tISIiIiIiIlIVjJKSkpKqTkJERH4fPvnkE7p27cq5c+fMInNZsrOzadiwIUePHiUkJOS3S/A3lJeXh6urK5cuXbLq/SwiIiIiIiJyL1T291C1jBARkV+toKCA77//nmnTptGvX78Ki8EiIiIiIiIiUnXUMkJERH61DRs20KBBAy5evMjcuXOrOh0RERERERERKYcKwiLyH23FihV4e3tTrVo1Fi5cWNXplNK5c2fGjRt3W3MMwyAtLe2e5FOe6OhoioqKOHLkCPXq1QMqzt3X15eSkhKrdhF79uzBMAwuXrx4V3OriuchIiIiIiIicr9SQVhEHnjR0dEYhkFCQoLV+bS0NAzDKHdeXl4ecXFxTJw4kX/84x88//zz9zpVqQK5ubl07969qtMQERERERERuS+oh7CI/C7UqFGDxMRERo4cibu7e6Xm5OTkUFhYSM+ePfHy8rrjtQsLC6levfodz5d7y9PTs6pTEBG5b/hO2lLVKTywshN6VnUKIiIiIneFdgiLyO9Ct27d8PT0ZM6cOZUan5KSQnBwMACNGjXCMAyys7MBWLZsGY0bN8bOzo6AgADWrl1rNdcwDJYtW8ZTTz2Fk5MTs2bNYtq0aYSEhLBmzRp8fHywWCyMHj2aoqIi5s6di6enJ7Vr12bWrFlmnJiYGHr16mUVu7CwkNq1a7N69eoy8/b19WXmzJkMGjQIJycn6tWrx5///OdS43744QciIyNxdHTE39+fzZs3W10/duwY3bt3x2KxUKdOHQYPHswPP/xgXu/cuTNjx45lwoQJ1KxZE09PT6ZNm/arcl+7di2tWrXC2dkZT09Pnn32Wc6fP1/mWIALFy4waNAg6tWrh6OjI8HBwWzYsMFqzK3yBOuWEdnZ2RiGwaZNm3jiiSdwdHSkRYsW7N+/32rOvn376NChAw4ODnh7ezN27FguX75cbq4iIiIiIiIiDwoVhEXkd8HGxobZs2ezZMkSvvnmm1uOHzBgADt37gTg4MGD5Obm4u3tzQcffMCLL77Iyy+/zLFjxxg5ciTDhg1j9+7dVvOnTZtGZGQkX375JTExMQCcPn2abdu2sX37djZs2MDq1avp2bMn33zzDXv37iUxMZFXX32VAwcOABAbG8v27dvJzc0143744YdcuXKFAQMGlJv7vHnzaNGiBUePHmXSpEm8+OKL7Nixw2rM9OnT6d+/P1988QU9evQgKiqKH3/8EYCLFy/SpUsXQkNDOXz4MNu3b+e7776jf//+VjFSU1NxcnLiwIEDzJ07lxkzZpjr3EnuhYWFzJw5k8zMTNLS0sjOziY6Orrc+7x69SqPPPIIW7Zs4dixYzz//PMMHjyYgwcPVjrP8vzpT38iPj6ejIwMmjRpwqBBg/j555+B69/H8PBwnn76ab744gvefvtt9u3bR1xcXIUxCwoKyMvLs/qIiIiIiIiI3G+MkpKSkqpOQkTk14iOjubixYukpaXRtm1bgoKCWL16NWlpaURGRlLeX3MZGRmEhoZy5swZfH19AWjfvj3NmjVjxYoV5rj+/ftz+fJltmy5/t9sDcNg3LhxLFiwwBwzbdo05s2bx7fffouzszMA4eHhHD9+nNOnT1Ot2vV/f2vatCnR0dFMmjQJgGbNmjF06FAmTJgAwFNPPUWtWrVITk4Gru+ADQkJMV945+vrS2BgINu2bTPXHjhwIHl5eWzdutXM79VXX2XmzJkAXL58GYvFwrZt2wgPD+f111/nk08+4aOPPjJjfPPNN3h7e3P8+HGaNGlC586dKSoq4pNPPjHHtGnThi5dupi9mm839186fPgwrVu35l//+hcWi4U9e/bwxBNP8NNPP+Hm5lbmnF69etG0aVOSkpLMNW6Vp2EYfPDBB/Tp04fs7GwaNmzIqlWrGD58OABff/01zZo1Iysri6ZNmxIbG4uNjQ3Lly83Y+7bt49OnTpx+fJlatSoUWZu06ZNY/r06aXOX7p0CRcXlzLniIj81tQy4s6pZYSIiIjc7/Ly8nB1db3l76HaISwivyuJiYmkpqaSlZVldd5isZifUaNGlTs/KyuL9u3bW51r3759qXitWrUqNdfX19csBgPUqVOHoKAgsxh849zNbRJiY2PNAup3333Htm3bzB3H5Wnbtm2p41/m17x5c/NrJycnXFxczHUzMzPZvXu31TNp2rQpcH13bFkxALy8vH5V7keOHCEiIgIfHx+cnZ3p1KkTcL2Xc1mKioqYOXMmwcHB1KxZE4vFwkcffVRq/K3yLMvNc270j775+aSkpFg9n7CwMIqLizlz5ky5MSdPnsylS5fMz7lz5yrMQURERERERKQq6KVyIvK70rFjR8LCwpg8ebJVO4KMjAzz67uxW9PJyanUuV++WM4wjDLPFRcXm8dDhgxh0qRJ7N+/n08//ZSGDRvSoUOHX51fRevm5+cTERFBYmJiqXk3v1zvbuZ++fJlwsLCCAsLY926dXh4eJCTk0NYWBjXrl0rc868efNYtGgRCxcuJDg4GCcnJ8aNG1dq/K3yLMvNcwzDALB6PiNHjmTs2LGl5vn4+JQb097eHnt7+wrXFREREREREalqKgiLyO9OQkICISEhBAQEmOf8/PwqNTcwMJD09HSGDh1qnktPTycoKOiu5wlQq1Yt+vTpQ3JyMvv372fYsGG3nPPZZ5+VOg4MDKz0mi1btuT999/H19cXW9s7/zFwO7n/7W9/48KFCyQkJODt7Q1cbxlRkfT0dHr37s1zzz0HXC/Ynjhx4p59L25o2bIlX3/9daX/zIiIPEjU9kBERERE1DJCRH53goODiYqKYvHixbc995VXXiElJYVly5Zx8uRJ3njjDTZt2kR8fPw9yPS62NhYs83FzYXo8qSnpzN37lxOnDjBn//8Z959911efPHFSq83ZswYfvzxRwYNGsShQ4c4ffo0H330EcOGDaOoqOie5O7j44OdnR1Llizh73//O5s3bzZ7HJfH39+fHTt28Omnn5KVlcXIkSP57rvvbiu/OzFx4kQ+/fRT4uLiyMjI4OTJk/zP//zPLV8qJyIiIiIiIvIgUEFYRH6XZsyYccu2AWXp06cPixYtIikpiWbNmrF8+XKSk5Pp3Lnz3U/y/9etWze8vLwICwujbt26txz/8ssvc/jwYUJDQ3n99dd54403CAsLq/R6devWJT09naKiIp588kmCg4MZN24cbm5uVv2O72buHh4epKSk8O677xIUFERCQoL5YrjyvPrqq7Rs2ZKwsDA6d+6Mp6cnffr0ua387kTz5s3Zu3cvJ06coEOHDoSGhvLaa69V6nsjIiIiIiIicr8zSkpKSqo6CRGR/2T5+fnUq1eP5ORk+vbtW+FYX19fxo0bx7hx436b5G7hdnL/T1PZt7uKiIiIiIiI3A2V/T1UPYRFRKpIcXExP/zwA/Pnz8fNzY2nnnqqqlOqtAc5dxEREREREZH/ZGoZISJyF61YsQJvb2+qVavGwoULKxybk5NDnTp1WL9+PWvWrPlVL3irrM6dO9+V3cV3kntKSgpubm4VjomOjr7rbSGmTZtGSEjIXY0pIiIiIiIi8qBSQVhE5Beio6MxDIOEhASr82lpaRiGUe68vLw84uLimDhxIv/4xz94/vnnK1zH19eXkpISzp07R9euXSuVW3Z29n3RLuJWufv6+t6yIF6WRYsWkZKS8usTvEl8fDy7du26qzFFREREREREHlRqGSEiUoYaNWqQmJjIyJEjcXd3r9ScnJwcCgsL6dmzJ15eXne8dmFhIdWrV7/j+Q8yV1fXux7TYrFgsVjuelwRkQeR76QtVZ3CbclO6FnVKYiIiIj87miHsIhIGbp164anpydz5syp1PiUlBSCg4MBaNSoEYZhkJ2dDcCyZcto3LgxdnZ2BAQEsHbtWqu5hmGwbNkynnrqKZycnJg1a5bZ5mDNmjX4+PhgsVgYPXo0RUVFzJ07F09PT2rXrs2sWbPMODExMfTq1csqdmFhIbVr12b16tVl5u3r68vrr7/OkCFDsFgsNGjQgM2bN/P999/Tu3dvLBYLzZs35/Dhw1bz9u3bR4cOHXBwcMDb25uxY8dy+fJl4HpbirNnz/LSSy9hGEapXdUfffQRgYGBWCwWwsPDyc3NNa/9smVEQUEBY8eOpXbt2tSoUYPHH3+cQ4cOmdf37NmDYRjs2rWLVq1a4ejoSLt27Th+/Lg55pctI26skZSUhJeXF7Vq1WLMmDEUFhZarRsfH0+9evVwcnLi0UcfZc+ePWU+QxEREREREZEHiQrCIiJlsLGxYfbs2SxZsoRvvvnmluMHDBjAzp07ATh48CC5ubl4e3vzwQcf8OKLL/Lyyy9z7NgxRo4cybBhw9i9e7fV/GnTphEZGcmXX35JTEwMAKdPn2bbtm1s376dDRs2sHr1anr27Mk333zD3r17SUxM5NVXX+XAgQMAxMbGsn37dqsC64cffsiVK1cYMGBAubkvWLCA9u3bc/ToUXr27MngwYMZMmQIzz33HJ9//jmNGzdmyJAhlJSUmHmFh4fz9NNP88UXX/D222+zb98+4uLiANi0aRP169dnxowZ5ObmWuVz5coVkpKSWLt2LR9//DE5OTnEx8eXm9uECRN4//33SU1N5fPPP8fPz4+wsDB+/PFHq3F/+tOfmD9/PocPH8bW1tZ8huXZvXs3p0+fZvfu3aSmppKSkmLVqiIuLo79+/ezceNGvvjiC/r160d4eDgnT56sMK6IiIiIiIjI/U4FYRGRckRGRhISEsLUqVNvOdbBwYFatWoB4OHhgaenJzY2NiQlJREdHc3o0aNp0qQJ48ePp2/fviQlJVnNf/bZZxk2bBiNGjXCx8cHgOLiYtasWUNQUBARERE88cQTHD9+nIULFxIQEMCwYcMICAgwi8vt2rUrtQM5OTmZfv36VdgyoUePHowcORJ/f39ee+018vLyaN26Nf369aNJkyZMnDiRrKwsvvvuOwDmzJlDVFQU48aNw9/fn3bt2rF48WLeeustrl69Ss2aNbGxscHZ2RlPT088PT3NtQoLC/nLX/5Cq1ataNmyJXFxceX29718+TLLli1j3rx5dO/enaCgIFauXImDg0OpHc+zZs2iU6dOBAUFMWnSJD799FOuXr1a7j27u7uzdOlSmjZtSq9evejZs6eZR05ODsnJybz77rt06NCBxo0bEx8fz+OPP05ycnK5MQsKCsjLy7P6iIiIiIiIiNxvVBAWEalAYmIiqampZGVlWZ2/0ZfWYrEwatSocudnZWXRvn17q3Pt27cvFa9Vq1al5vr6+uLs7Gwe16lTh6CgIKpVq2Z17vz58+ZxbGysWbT87rvv2LZt2y13yzZv3twqHmC2v7j53I11MjMzSUlJsXoGYWFhFBcXc+bMmQrXcnR0pHHjxuaxl5eXVf43O336NIWFhVbPr3r16rRp06bU87v5Hm70by4vLkCzZs2wsbEpM48vv/ySoqIimjRpYnWPe/fu5fTp0+XGnDNnDq6urubH29u73LEiIiIiIiIiVUUvlRMRqUDHjh0JCwtj8uTJREdHm+czMjLMr11cXH71Ok5OTqXO/fLFcoZhlHmuuLjYPB4yZAiTJk1i//79fPrppzRs2JAOHTpUuPbNMW/0+y3r3I118vPzGTlyJGPHji0V68bu5sqsdSP2jVYUv0ZF+VY2j5vvz8bGhiNHjlgVjYEKd1pPnjyZ8ePHm8d5eXkqCouIiIiIiMh9RwVhEZFbSEhIICQkhICAAPOcn59fpeYGBgaSnp7O0KFDzXPp6ekEBQXd9TwBatWqRZ8+fUhOTmb//v0MGzbsrq/RsmVLvv766wqfgZ2dHUVFRb9qnRsv4ktPT6dBgwbA9ZYThw4dYty4cb8qdkVCQ0MpKiri/Pnztyym38ze3h57e/t7lpeIiIiIiIjI3aCCsIjILQQHBxMVFcXixYtve+4rr7xC//79CQ0NpVu3bvz1r39l06ZN5gvo7oXY2Fh69epFUVGRVSH6bpk4cSKPPfYYcXFxxMbG4uTkxNdff82OHTtYunQpcL3dxccff8zAgQOxt7fnoYceuu11nJyceOGFF3jllVeoWbMmPj4+zJ07lytXrjB8+PC7fVumJk2aEBUVxZAhQ5g/fz6hoaF8//337Nq1i+bNm9OzZ897traIyL2WnaC/w0RERET+06mHsIhIJcyYMaPCFgTl6dOnD4sWLSIpKYlmzZqxfPlykpOT6dy5891P8v/XrVs3vLy8CAsLo27dunc9fvPmzdm7dy8nTpygQ4cOhIaG8tprr1mtNWPGDLKzs2ncuDEeHh53vFZCQgJPP/00gwcPpmXLlpw6dYqPPvoId3f3u3Er5UpOTmbIkCG8/PLLBAQE0KdPHw4dOnTLlhgiIiIiIiIi9zuj5G40bxQRkftGfn4+9erVIzk5mb59+1Z1Ov+x8vLycHV15dKlS3elz7SIiIiIiIhIRSr7e6haRoiI/E4UFxfzww8/MH/+fNzc3HjqqaeqOiURERERERERuc+oICwi8juRk5NDw4YNqV+/PikpKdja6q94EREREREREbGmHsIi8ru2YsUKvL29qVatGgsXLqzqdErp3Lkz48aNuyuxfH19KSkp4dy5c3Tt2rXUdcMwSEtLuytr3a7s7GwMwyAjIwOAPXv2YBgGFy9eBCAlJQU3N7cqya2sfMpS1TmKiIiIiIiI3A0qCIvIfS06OhrDMEhISLA6n5aWhmEYFc7Ny8sjLi6OiRMn8o9//IPnn3/+XqZ635g2bRohISFVnYYVb29vcnNzefjhh8u8PmDAAE6cOPEbZ/X/tGvXjtzcXFxdXassBxEREREREZHfgv4/sYjc92rUqEFiYiIjR47E3d290vNycnIoLCykZ8+eeHl53fH6hYWFVK9e/Y7nP6hKSkooKiq6K60nbGxs8PT0LPe6g4MDDg4Ov3qdO2VnZ1dhfiIivxe+k7ZUdQoiv7nshJ5VnYKIiMh9RTuEReS+161bNzw9PZkzZ06l56SkpBAcHAxAo0aNMAyD7OxsAJYtW0bjxo2xs7MjICCAtWvXWs01DINly5bx1FNP4eTkxKxZs8xdt2vWrMHHxweLxcLo0aMpKipi7ty5eHp6Urt2bWbNmmXGiYmJoVevXlaxCwsLqV27NqtXry4z77Vr19KqVSucnZ3x9PTk2Wef5fz58+b1G60Ndu3aRatWrXB0dKRdu3YcP37cvO/p06eTmZmJYRgYhkFKSoo5/4cffiAyMhJHR0f8/f3ZvHlzqdjbtm3jkUcewd7enn379nH69Gl69+5NnTp1sFgstG7dmp07d1rl7evry+zZs4mJicHZ2RkfHx9WrFhhXv9ly4iyvl+/bMfw17/+ldatW1OjRg0eeughIiMjy5wLVCrHgoICJk6ciLe3N/b29vj5+Znfh7JaRqSkpODj44OjoyORkZFcuHCh3PVFREREREREHhQqCIvIfc/GxobZs2ezZMkSvvnmm0rNGTBggFkQPHjwILm5uXh7e/PBBx/w4osv8vLLL3Ps2DFGjhzJsGHD2L17t9X8adOmERkZyZdffklMTAxwvei4bds2tm/fzoYNG1i9ejU9e/bkm2++Ye/evSQmJvLqq69y4MABAGJjY9m+fTu5ublm3A8//JArV64wYMCAMvMuLCxk5syZZGZmkpaWRnZ2NtHR0aXG/elPf2L+/PkcPnwYW1tbM8cBAwbw8ssv06xZM3Jzc8nNzbVaa/r06fTv358vvviCHj16EBUVxY8//mgVe9KkSSQkJJCVlUXz5s3Jz8+nR48e7Nq1i6NHjxIeHk5ERAQ5OTlW8+bPn0+rVq04evQoo0eP5oUXXjAL1bdry5YtREZG0qNHD44ePcquXbto06ZNueMrk+OQIUPYsGEDixcvJisri+XLl2OxWMqMd+DAAYYPH05cXBwZGRk88cQTvP7663d0LyIiIiIiIiL3E7WMEJEHQmRkJCEhIUydOrXc3bU3c3BwoFatWgB4eHiY7QCSkpKIjo5m9OjRAIwfP57PPvuMpKQknnjiCXP+s88+y7Bhw6xiFhcXs2bNGpydnQkKCuKJJ57g+PHjbN26lWrVqhEQEEBiYiK7d+/m0UcfpV27duYO5AkTJgCQnJxMv379yi1E3ijswvWdzYsXL6Z169bk5+dbzZk1axadOnUCrhdwe/bsydWrV3FwcMBisWBra1tmC4To6GgGDRoEwOzZs1m8eDEHDx4kPDzcHDNjxgz+8Ic/mMc1a9akRYsW5vHMmTP54IMP2Lx5M3Fxceb5Hj16mM914sSJLFiwgN27dxMQEFDmvVZk1qxZDBw4kOnTp5vnbs7hl1q0aFFhjidOnOCdd95hx44ddOvWDbj+fMuzaNEiwsPDze9bkyZN+PTTT9m+fXu5cwoKCigoKDCP8/Lybn2jIiIiIiIiIr8x7RAWkQdGYmIiqampZGVllbpmsVjMz6hRo8qNkZWVRfv27a3OtW/fvlTMVq1alZrr6+uLs7OzeVynTh2CgoKoVq2a1bmbWzzExsaSnJwMwHfffce2bdusir6/dOTIESIiIvDx8cHZ2dks+v5yN27z5s3Nr2/0R7553fLcPM/JyQkXF5dS83557/n5+cTHxxMYGIibmxsWi4WsrKwKczIMA09Pz0rlVJaMjAy6du1a6fG3yjEjIwMbGxvzed5KVlYWjz76qNW5tm3bVjhnzpw5uLq6mh9vb+9K5y8iIiIiIiLyW9EOYRF5YHTs2JGwsDAmT55cqo3Czb1pXVxcfvVaTk5Opc798sVyhmGUea64uNg8HjJkCJMmTWL//v18+umnNGzYkA4dOpS55uXLlwkLCyMsLIx169bh4eFBTk4OYWFhXLt2rdxcDMMAsFq3PLfKF0rfe3x8PDt27CApKQk/Pz8cHBx45plnKsypvNiVdbsvmLtVjr/FC+smT57M+PHjzeO8vDwVhUVEREREROS+o4KwiDxQEhISCAkJKdWGwM/Pr1LzAwMDSU9PZ+jQoea59PR0goKC7mqeN9SqVYs+ffqQnJzM/v37S7WhuNnf/vY3Lly4QEJCgllIPHz48G2vaWdnR1FR0R3n/Evp6elER0ebL3XLz883X9B3rzRv3pxdu3ZV+Lxudqscg4ODKS4uZu/evWbLiIoEBgaavaBv+OyzzyqcY29vj729faXyFREREREREakqKgiLyAMlODiYqKgoFi9efEfzX3nlFfr3709oaCjdunXjr3/9K5s2bTJfQHcvxMbG0qtXL4qKiqwK0b/k4+ODnZ0dS5YsYdSoURw7doyZM2fe9nq+vr6cOXOGjIwM6tevj7Oz868qVPr7+7Np0yYiIiIwDIMpU6bc8c7fypo6dSpdu3alcePGDBw4kJ9//pmtW7cyceLEO8rR19eXoUOHEhMTw+LFi2nRogVnz57l/Pnz9O/fv1S8sWPH0r59e5KSkujduzcfffRRhf2DRUQeFNkJPas6BRERERGpYuohLCIPnBkzZtxxQbJPnz4sWrSIpKQkmjVrxvLly0lOTqZz5853N8mbdOvWDS8vL8LCwqhbt2654zw8PEhJSeHdd98lKCiIhIQEkpKSbnu9p59+mvDwcJ544gk8PDzYsGHDr0mfN954A3d3d9q1a0dERARhYWG0bNnyV8W8lc6dO/Puu++yefNmQkJC6NKlCwcPHvxVOS5btoxnnnmG0aNH07RpU0aMGMHly5fLjPfYY4+xcuVKFi1aRIsWLfjf//1fXn311bt6jyIiIiIiIiJVwSgpKSmp6iRERH7P8vPzqVevHsnJyfTt27eq05HfSF5eHq6urly6dOmu9LUWERERERERqUhlfw9VywgRkXukuLiYH374gfnz5+Pm5sZTTz1V1SmJiIiIiIiIyH84FYRFRO6RnJwcGjZsSP369UlJScHWVn/lioiIiIiIiEjVUg9hERFg2rRphISEVHp8dnY2hmGQkZFR7hhfX19KSko4d+4cXbt2/fVJ3gc6d+7MuHHj7vk6lXm+lc3HMAzS0tLuWm4iIiIiIiIiDzIVhEXkgRUdHY1hGCQkJFidT0tLwzCM3zSXPXv2YBgGFy9e/E3XvVO3WwD/rXl7e5Obm8vDDz8M/Lrnm5ubS/fu3e9yhiIiIiIiIiIPJv3/ZRF5oNWoUYPExERGjhyJu7t7Vacjt1BUVIRhGFSrVvG/R9rY2ODp6XlX1rxbcUTk98130paqTuE3kZ3Qs6pTEBEREZEqph3CIvJA69atG56ensyZM+e25iUkJFCnTh2cnZ0ZPnw4V69eLTVm1apVBAYGUqNGDZo2bcqbb75ZZqzs7GyeeOIJANzd3TEMg+joaAC2b9/O448/jpubG7Vq1aJXr16cPn26wtyKiooYPnw4DRs2xMHBgYCAABYtWlRq3Jo1a2jWrBn29vZ4eXkRFxdnXrt48SKxsbF4eHjg4uJCly5dyMzMBCAlJYXp06eTmZmJYRgYhkFKSgoxMTH06tXLao3CwkJq167N6tWry8z1p59+YsiQIbi7u+Po6Ej37t05efKkeT0lJQU3Nzc2b95MUFAQ9vb25OTk4Ovry+zZs4mJicHZ2RkfHx9WrFhh9UxvtIyo6PnC9Zf3TZgwgZo1a+Lp6cm0adOscry5ZcSNuJs2beKJJ57A0dGRFi1asH//fqs5+/bto0OHDjg4OODt7c3YsWO5fPlyOd8xERERERERkQeHCsIi8kCzsbFh9uzZLFmyhG+++aZSc9555x2mTZvG7NmzOXz4MF5eXqWKvevWreO1115j1qxZZGVlMXv2bKZMmUJqamqpeN7e3rz//vsAHD9+nNzcXLOAe/nyZcaPH8/hw4fZtWsX1apVIzIykuLi4nLzKy4upn79+rz77rt8/fXXvPbaa/zXf/0X77zzjjlm2bJljBkzhueff54vv/ySzZs34+fnZ17v168f58+fZ9u2bRw5coSWLVvStWtXfvzxRwYMGMDLL79Ms2bNyM3NJTc3lwEDBhAbG8v27dvJzc0143z44YdcuXKFAQMGlJlrdHQ0hw8fZvPmzezfv5+SkhJ69OhBYWGhOebKlSskJiayatUqvvrqK2rXrg3A/PnzadWqFUePHmX06NG88MILHD9+/LaeL0BqaipOTk4cOHCAuXPnMmPGDHbs2FHu8wX405/+RHx8PBkZGTRp0oRBgwbx888/A3D69GnCw8N5+umn+eKLL3j77bfZt2+fVcFdRERERERE5EGllhEi8sCLjIwkJCSEqVOnlruT9WYLFy5k+PDhDB8+HIDXX3+dnTt3Wu0Snjp1KvPnz6dv374ANGzYkK+//prly5czdOhQq3g2NjbUrFkTgNq1a+Pm5mZee/rpp63GrlmzBg8PD77++muzP+4vVa9enenTp5vHDRs2ZP/+/bzzzjv079/fzPnll1/mxRdfNMe1bt0auL679eDBg5w/fx57e3sAkpKSSEtL47333uP555/HYrFga2tr1U6hXbt2BAQEsHbtWiZMmABAcnIy/fr1w2KxlMrz5MmTbN68mfT0dNq1awdcL6R7e3uTlpZGv379gOu7jN98801atGhhNb9Hjx6MHj0agIkTJ7JgwQJ2795NQEBApZ8vQPPmzZk6dSoA/v7+LF26lF27dvGHP/yhzOcLEB8fT8+e1//b9PTp02nWrBmnTp2iadOmzJkzh6ioKPNldf7+/ixevJhOnTqxbNkyatSoUWbMgoICCgoKzOO8vLxy1xcRERERERGpKtohLCK/C4mJiaSmppKVlWV13mKxmJ9Ro0YBkJWVxaOPPmo1rm3btubXly9f5vTp0wwfPtxq/uuvv37Ldg+/dPLkSQYNGkSjRo1wcXHB19cXgJycHAC6d+9uxm/WrJk5789//jOPPPIIHh4eWCwWVqxYYc45f/48//znP+natWuZa2ZmZpKfn0+tWrWs8j9z5swt84+NjSU5ORmA7777jm3bthETE1Pm2KysLGxtba2eZa1atQgICLD6PtjZ2dG8efNS828+ZxgGnp6enD9/vsL8yvLL2F5eXreMc/McLy8vAHNOZmYmKSkpVs8uLCyM4uJizpw5U27MOXPm4Orqan68vb1v+15ERERERERE7jXtEBaR34WOHTsSFhbG5MmTrfrLZmRkmF+7uLhUKlZ+fj4AK1euLFU4trGxua28IiIiaNCgAStXrqRu3boUFxfz8MMPc+3aNeB6n+J///vfwPWdwQAbN24kPj6e+fPn07ZtW5ydnZk3bx4HDhwAwMHB4Zb5e3l5sWfPnlLXfrm79peGDBnCpEmT2L9/P59++ikNGzakQ4cOt3XPv+Tg4IBhGKXO37jfGwzDqLCVRnnuJM7Nc27kdmNOfn4+I0eOZOzYsaXm+fj4lBtz8uTJjB8/3jzOy8tTUVhERERERETuOyoIi8jvRkJCAiEhIVYtB27uq3tDYGAgBw4cYMiQIea5zz77zPy6Tp061K1bl7///e9ERUVVam07Ozvg+gvhbrhw4QLHjx9n5cqVZlF13759VvPq1atXKtaNFgw32ikAVjt7nZ2d8fX1ZdeuXebL1m7WsmVLvv32W2xtbc0dyWXle3OuN9SqVYs+ffqQnJzM/v37GTZsWLn3HBgYyM8//8yBAwfMlhE37jkoKKjceXeirOd7r7Rs2ZKvv/66zD87FbG3tzdbdIiIiIiIiIjcr1QQFpHfjeDgYKKioli8eHGF41588UWio6Np1aoV7du3Z926dXz11Vc0atTIHDN9+nTGjh2Lq6sr4eHhFBQUcPjwYX766SerXaA3NGjQAMMw+PDDD+nRowcODg64u7tTq1YtVqxYgZeXFzk5OUyaNOmW9+Hv789bb73FRx99RMOGDVm7di2HDh2iYcOG5php06YxatQoateuTffu3fnXv/5Feno6f/zjH+nWrRtt27alT58+zJ07lyZNmvDPf/6TLVu2EBkZSatWrfD19eXMmTNkZGRQv359nJ2dzWJmbGwsvXr1oqioqFS/5F/m2bt3b0aMGMHy5ctxdnZm0qRJ1KtXj969e9/yPm9HWc+3rL7Gd8PEiRN57LHHiIuLIzY2FicnJ77++mt27NjB0qVL78maIlL1shN6VnUKIiIiIiK/CfUQFpHflRkzZtyyXcCAAQOYMmUKEyZM4JFHHuHs2bO88MILVmNiY2NZtWoVycnJBAcH06lTJ1JSUqyKsjerV68e06dPZ9KkSdSpU4e4uDiqVavGxo0bOXLkCA8//DAvvfQS8+bNu+U9jBw5kr59+zJgwAAeffRRLly4YLVbGGDo0KEsXLiQN998k2bNmtGrVy9OnjwJXG+BsHXrVjp27MiwYcNo0qQJAwcO5OzZs9SpUwe4/rK78PBwnnjiCTw8PNiwYYMZu1u3bnh5eREWFkbdunUrzDU5OZlHHnmEXr160bZtW0pKSti6dWupNg6/VlnP915p3rw5e/fu5cSJE3To0IHQ0FBee+21Wz4LERERERERkQeBUVJSUlLVSYiIyP0jPz+fevXqkZycTN++fas6nQdWXl4erq6uXLp0qdL9q0VERERERETuVGV/D1XLCBERAa6/VO2HH35g/vz5uLm58dRTT1V1SiIiIiIiIiJyl6kgLCIiAOTk5NCwYUPq169PSkoKtrb6ESEiIiIiIiLye6MewiIiAoCvry8lJSWcO3eOrl27/mbrGoZBWlraXYu3Z88eDMPg4sWLAKSkpODm5nbX4ouIiIiIiIg8yFQQFhF5gERHR2MYBgkJCVbn09LSMAyjirK6rnPnzowbN65KcyjLgAEDOHHiRFWnISIiIiIiInJf0P8HFhF5wNSoUYPExERGjhyJu7t7Vadz33NwcMDBwaGq0xARuS/4TtpS1SmIWMlO6FnVKYiIiPzH0Q5hEZEHTLdu3fD09GTOnDmVnnP69Gl69+5NnTp1sFgstG7dmp07d1qNKSgoYOLEiXh7e2Nvb4+fnx+rV682rx87dozu3btjsVioU6cOgwcP5ocffgCu71zeu3cvixYtwjAMDMPgzJkz+Pn5kZSUZLVORkYGhmFw6tSpUnm2a9eOiRMnWp37/vvvqV69Oh9//DEAa9eupVWrVjg7O+Pp6cmzzz7L+fPny733X7aMmDZtGiEhIaxduxZfX19cXV0ZOHAg//rXv8wxxcXFzJkzh4YNG+Lg4ECLFi147733bvGURURERERERO5/KgiLiDxgbGxsmD17NkuWLOGbb76p1Jz8/Hx69OjBrl27OHr0KOHh4URERJCTk2OOGTJkCBs2bGDx4sVkZWWxfPlyLBYLABcvXqRLly6EhoZy+PBhtm/fznfffUf//v0BWLRoEW3btmXEiBHk5uaSm5uLj48PMTExJCcnW+WSnJxMx44d8fPzK5VnVFQUGzdupKSkxDz39ttvU7duXTp06ABAYWEhM2fOJDMzk7S0NLKzs4mOjr6tZ3j69GnS0tL48MMP+fDDD9m7d69VG445c+bw1ltv8Ze//IWvvvqKl156ieeee469e/eWG7OgoIC8vDyrj4iIiIiIiMj9Ri0jREQeQJGRkYSEhDB16lSrXbzladGiBS1atDCPZ86cyQcffMDmzZuJi4vjxIkTvPPOO+zYsYNu3boB0KhRI3P80qVLCQ0NZfbs2ea5NWvW4O3tzYkTJ2jSpAl2dnY4Ojri6elpjomOjua1117j4MGDtGnThsLCQtavX19q1/AN/fv3Z9y4cezbt88sAK9fv55BgwaZPZJjYmLM8Y0aNWLx4sW0bt2a/Px8s4B9K8XFxaSkpODs7AzA4MGD2bVrF7NmzaKgoIDZs2ezc+dO2rZta66zb98+li9fTqdOncqMOWfOHKZPn16p9UVERERERESqinYIi4g8oBITE0lNTSUrK8vqvMViMT+jRo0Cru8Qjo+PJzAwEDc3NywWC1lZWeYO4YyMDGxsbMotdmZmZrJ7926r2E2bNgWu77YtT926denZsydr1qwB4K9//SsFBQX069evzPEeHh48+eSTrFu3DoAzZ86wf/9+oqKizDFHjhwhIiICHx8fnJ2dzZxv3u18K76+vmYxGMDLy8tsO3Hq1CmuXLnCH/7wB6v7feuttyq818mTJ3Pp0iXzc+7cuUrnIyIiIiIiIvJb0Q5hEZEHVMeOHQkLC2Py5MlWLRMyMjLMr11cXACIj49nx44dJCUl4efnh4ODA8888wzXrl0DuOVL1/Lz84mIiCAxMbHUNS8vrwrnxsbGMnjwYBYsWEBycjIDBgzA0dGx3PFRUVGMHTuWJUuWsH79eoKDgwkODgbg8uXLhIWFERYWxrp16/Dw8CAnJ4ewsDDzXiqjevXqVseGYVBcXGzeK8CWLVuoV6+e1Th7e/tyY9rb21d4XUREREREROR+oIKwiMgDLCEhgZCQEAICAsxzZfXmTU9PJzo6msjISOB60TM7O9u8HhwcTHFxMXv37jVbRtysZcuWvP/++/j6+mJrW/aPDjs7O4qKikqd79GjB05OTixbtozt27ebL4crT+/evXn++efZvn0769evZ8iQIea1v/3tb1y4cIGEhAS8vb0BOHz4cIXxbldQUBD29vbk5OSUu2NaRERERERE5EGlgrCIyAMsODiYqKgoFi9eXOE4f39/Nm3aREREBIZhMGXKFHNHLFxvoTB06FBiYmJYvHgxLVq04OzZs5w/f57+/fszZswYVq5cyaBBg5gwYQI1a9bk1KlTbNy4kVWrVmFjY4Ovry8HDhwgOzsbi8VCzZo1qVatGjY2NkRHRzN58mT8/f3NvrzlcXJyok+fPkyZMoWsrCwGDRpkXvPx8cHOzo4lS5YwatQojh07xsyZM3/dQ/wFZ2dn4uPjeemllyguLubxxx/n0qVLpKen4+LiwtChQ+/qeiIiv6XshJ5VnYKIiIiIVDH1EBYRecDNmDHDqrhbljfeeAN3d3fatWtHREQEYWFhtGzZ0mrMsmXLeOaZZxg9ejRNmzZlxIgRXL58GbjeCzg9PZ2ioiKefPJJgoODGTduHG5ublSrdv1HSXx8PDY2NgQFBZmtHG4YPnw4165dY9iwYZW6p6ioKDIzM+nQoQM+Pj7meQ8PD1JSUnj33XcJCgoiISGh3BfU/RozZ85kypQpzJkzh8DAQMLDw9myZQsNGza862uJiIiIiIiI/JaMkpKSkqpOQkREft8++eQTunbtyrlz56hTp05Vp/ObyMvLw9XVlUuXLpm9nEVERERERETulcr+HqqWESIics8UFBTw/fffM23aNPr16/cfUwwWERERERERuV+pZYSIiNwzGzZsoEGDBly8eJG5c+dWdToiIiIiIiIi//FUEBYRkbvCMAzS0tKszkVHR1NUVMSRI0eoV69eleS1Z88eDMPg4sWLVbK+iIiIiIiIyP1EBWERkSoQHR2NYRgkJCRYnU9LS8MwjCrK6rrOnTszbty4XxUjOzsbwzDIyMi4Kzn9Gu3atSM3NxdXV9eqTkVERERERESkyqmHsIhIFalRowaJiYmMHDkSd3f3qk7nvlRUVIRhGFSrduf/fmlnZ4enp+ddzEpE5MHlO2lLVafwQMhO6FnVKYiIiIjcM9ohLCJSRbp164anpydz5syp9JzTp0/Tu3dv6tSpg8VioXXr1uzcudNqTEFBARMnTsTb2xt7e3v8/PxYvXq1ef3YsWN0794di8VCnTp1GDx4MD/88ANwfefy3r17WbRoEYZhYBgGZ86cwc/Pj6SkJKt1MjIyMAyDU6dOlcqzYcOGAISGhmIYBp07d+bjjz+mevXqfPvtt1Zjx40bR4cOHQBISUnBzc2NzZs3ExQUhL29PTk5Ofz0008MGTIEd3d3HB0d6d69OydPnjRjnD17loiICNzd3XFycqJZs2Zs3boVKN0y4sYaH330EYGBgVgsFsLDw8nNzbXKa9WqVQQGBlKjRg2aNm3Km2++Wenvk4iIiIiIiMj9SgVhEZEqYmNjw+zZs1myZAnffPNNpebk5+fTo0cPdu3axdGjRwkPDyciIoKcnBxzzJAhQ9iwYQOLFy8mKyuL5cuXY7FYALh48SJdunQhNDSUw4cPs337dr777jv69+8PwKJFi2jbti0jRowgNzeX3NxcfHx8iImJITk52SqX5ORkOnbsiJ+fX6k8Dx48CMDOnTvJzc1l06ZNdOzYkUaNGrF27VpzXGFhIevWrSMmJsY8d+XKFRITE1m1ahVfffUVtWvXJjo6msOHD7N582b2799PSUkJPXr0oLCwEIAxY8ZQUFDAxx9/zJdffkliYqJ5z2W5cuUKSUlJrF27lo8//picnBzi4+PN6+vWreO1115j1qxZZGVlMXv2bKZMmUJqamq5MQsKCsjLy7P6iIiIiIiIiNxv1DJCRKQKRUZGEhISwtSpU6128ZanRYsWtGjRwjyeOXMmH3zwAZs3byYuLo4TJ07wzjvvsGPHDrp16wZAo0aNzPFLly4lNDSU2bNnm+fWrFmDt7c3J06coEmTJtjZ2eHo6GjVZiE6OprXXnuNgwcP0qZNGwoLC1m/fn2pXcM3eHh4AFCrVi2rOMOHDyc5OZlXXnkFgL/+9a9cvXrVLEjD9SLxm2++ad7nyZMn2bx5M+np6bRr1w64XrD19vYmLS2Nfv36kZOTw9NPP01wcHCpey5LYWEhf/nLX2jcuDEAcXFxzJgxw7w+depU5s+fT9++fYHrO56//vprli9fztChQ8uMOWfOHKZPn17huiIiIiIiIiJVTTuERUSqWGJiIqmpqWRlZVmdt1gs5mfUqFHA9R3C8fHxBAYG4ubmhsViISsry9whnJGRgY2NDZ06dSpzrczMTHbv3m0Vu2nTpsD1dhTlqVu3Lj179mTNmjXA9UJuQUEB/fr1u617jY6O5tSpU3z22WfA9fYN/fv3x8nJyRxjZ2dH8+bNzeOsrCxsbW159NFHzXO1atUiICDAfGZjx47l9ddfp3379kydOpUvvviiwjwcHR3NYjCAl5cX58+fB+Dy5cucPn2a4cOHWz2n119/vcJnNHnyZC5dumR+zp07dxtPRkREREREROS3oR3CIiJVrGPHjoSFhTF58mSio6PN8xkZGebXLi4uAMTHx7Njxw6SkpLw8/PDwcGBZ555hmvXrgHg4OBQ4Vr5+flERESQmJhY6pqXl1eFc2NjYxk8eDALFiwgOTmZAQMG4OjoWMm7vK527dpERESQnJxMw4YN2bZtG3v27LEa4+DggGEYtxU3NjaWsLAwtmzZwv/+7/8yZ84c5s+fzx//+Mcyx1evXt3q2DAMSkpKgOvPCGDlypVWRWi43uajPPb29tjb299W3iIiIiIiIiK/NRWERUTuAwkJCYSEhBAQEGCeK6s3b3p6OtHR0URGRgLXi5fZ2dnm9eDgYIqLi9m7d6/ZMuJmLVu25P3338fX1xdb27J/BNjZ2VFUVFTqfI8ePXBycmLZsmVs376djz/+uNz7sbOzAygzTmxsLIMGDaJ+/fo0btyY9u3blxsHIDAwkJ9//pkDBw6YLSMuXLjA8ePHCQoKMsd5e3szatQoRo0axeTJk1m5cmW5BeGK1KlTh7p16/L3v/+dqKio254vIiIiIiIicj9TQVhE5D4QHBxMVFQUixcvrnCcv78/mzZtIiIiAsMwmDJlCsXFxeZ1X19fhg4dSkxMDIsXL6ZFixacPXuW8+fP079/f8aMGcPKlSsZNGgQEyZMoGbNmpw6dYqNGzeyatUqbGxs8PX15cCBA2RnZ2OxWKhZsybVqlXDxsaG6OhoJk+ejL+/P23bti03z9q1a+Pg4MD27dupX78+NWrUwNXVFYCwsDBcXFx4/fXXrfr2VnTPvXv3ZsSIESxfvhxnZ2cmTZpEvXr16N27NwDjxo2je/fuNGnShJ9++ondu3cTGBhYmUdfpunTpzN27FhcXV0JDw+noKCAw4cP89NPPzF+/Pg7jisiUtWyE3pWdQoiIiIiUsXUQ1hE5D4xY8YMq+JuWd544w3c3d1p164dERERhIWF0bJlS6sxy5Yt45lnnmH06NE0bdqUESNGcPnyZeB6L+D09HSKiop48sknCQ4OZty4cbi5uVGt2vUfCfHx8djY2BAUFISHh4fZnxiuvxTu2rVrDBs2rMI8bW1tWbx4McuXL6du3bpm4RagWrVqREdHU1RUxJAhQyr1bJKTk3nkkUfo1asXbdu2paSkhK1bt5qtH4qKihgzZgyBgYGEh4fTpEkT3nzzzUrFLktsbCyrVq0iOTmZ4OBgOnXqREpKCg0bNrzjmCIiIiIiIiL3A6PkRtNEERGRW/jkk0/o2rUr586do06dOnccZ/jw4Xz//fds3rz5LmZ3f8nLy8PV1ZVLly6ZPaBFRERERERE7pXK/h6qlhEiInJLBQUFfP/990ybNo1+/frdcTH40qVLfPnll6xfv/53XQwWERERERERuV+pZYSIiNzShg0baNCgARcvXmTu3Ll3HKd37948+eSTjBo1ij/84Q93MUMRERERERERqQy1jBAR+Q9jGAYffPABffr0qepU7jpfX1/GjRvHuHHjqjoVtYwQERERERGR31Rlfw/VDmERkQpER0djGAYJCQlW59PS0jAMo4qyuq5z586/uvCZnZ2NYRhkZGTclZwq427kLSIiIiIiIiJ3Rj2ERURuoUaNGiQmJjJy5Ejc3d2rOp0qce3aNezs7Ko6DRER+ZV8J22p6hRE7gvZCT2rOgUREZEqox3CIiK30K1bNzw9PZkzZ06l55w+fZrevXtTp04dLBYLrVu3ZufOnVZjCgoKmDhxIt7e3tjb2+Pn58fq1avN68eOHaN79+5YLBbq1KnD4MGD+eGHH4DrO5f37t3LokWLMAwDwzA4c+YMfn5+JCUlWa2TkZGBYRicOnWqVJ4NGzYEIDQ0FMMw6Ny5sxm/T58+zJo1i7p16xIQEMCMGTN4+OGHS8UICQlhypQpVvOmT5+Oh4cHLi4ujBo1imvXrpWbd3Z2NgB79+6lTZs22Nvb4+XlxaRJk/j555/NdTp37kxcXBxxcXG4urry0EMPMWXKFH7Z+ejKlSvExMTg7OyMj48PK1assLo+ceJEmjRpgqOjI40aNWLKlCkUFhaa16dNm0ZISAhr167F19cXV1dXBg4cyL/+9a9S9y4iIiIiIiLyoFFBWETkFmxsbJg9ezZLlizhm2++qdSc/Px8evTowa5duzh69Cjh4eFERESQk5NjjhkyZAgbNmxg8eLFZGVlsXz5ciwWCwAXL16kS5cuhIaGcvjwYbZv3853331H//79AVi0aBFt27ZlxIgR5Obmkpubi4+PDzExMSQnJ1vlkpycTMeOHfHz8yuV58GDBwHYuXMnubm5bNq0yby2a9cujh8/zo4dO/jwww+JiYkhKyuLQ4cOmWOOHj3KF198wbBhw6zmZWVlsWfPHjZs2MCmTZuYPn16uXl7e3vzj3/8gx49etC6dWsyMzNZtmwZq1ev5vXXX7fKNzU1FVtbWw4ePMiiRYt44403WLVqldWY+fPn06pVK44ePcro0aN54YUXOH78uHnd2dmZlJQUvv76axYtWsTKlStZsGCBVYzTp0+TlpbGhx9+yIcffsjevXtLtQ35pYKCAvLy8qw+IiIiIiIiIvcbtYwQEamEyMhIQkJCmDp1qtUu3vK0aNGCFi1amMczZ87kgw8+YPPmzcTFxXHixAneeecdduzYQbdu3QBo1KiROX7p0qWEhoYye/Zs89yaNWvw9vbmxIkTNGnSBDs7OxwdHfH09DTHREdH89prr3Hw4EHatGlDYWEh69evL7Vr+AYPDw8AatWqZRUHwMnJiVWrVlm1iggLCyM5OZnWrVsD14vNnTp1ssrdzs6ONWvW4OjoSLNmzZgxYwavvPIKM2fOxNXVtcy833zzTby9vVm6dCmGYdC0aVP++c9/MnHiRF577TWqVbv+75fe3t4sWLAAwzAICAjgyy+/ZMGCBYwYMcKM1aNHD0aPHg1c3w28YMECdu/eTUBAAACvvvqqOdbX15f4+Hg2btzIhAkTzPPFxcWkpKTg7OwMwODBg9m1axezZs0q8zkCzJkzxyx8i4iIiIiIiNyvtENYRKSSEhMTSU1NJSsry+q8xWIxP6NGjQKu7xCOj48nMDAQNzc3LBYLWVlZ5g7hjIwMbGxs6NSpU5lrZWZmsnv3bqvYTZs2Ba7vXi1P3bp16dmzJ2vWrAHgr3/9KwUFBfTr1++27zc4OLhU3+ARI0awYcMGrl69yrVr11i/fj0xMTFWY1q0aIGjo6N53LZtW/Lz8zl37ly5a2VlZdG2bVurF/W1b9+e/Px8q13Zjz32mNWYtm3bcvLkSYqKisxzzZs3N782DANPT0/Onz9vnnv77bdp3749np6eWCwWXn31Vaud23C9UHyjGAzg5eVlFaMskydP5tKlS+anovsVERERERERqSraISwiUkkdO3YkLCyMyZMnEx0dbZ7PyMgwv3ZxcQEgPj6eHTt2kJSUhJ+fHw4ODjzzzDNmL10HB4cK18rPzyciIoLExMRS17y8vCqcGxsby+DBg1mwYAHJyckMGDDAqkBbWU5OTqXORUREYG9vzwcffICdnR2FhYU888wztx37XqpevbrVsWEYFBcXA7B//36ioqKYPn06YWFhuLq6snHjRubPn1/pGOWxt7fH3t7+LtyBiIiIiIiIyL2jgrCIyG1ISEggJCTEbD8AlNmbNz09nejoaCIjI4HrBd4bL0+D67tvi4uL2bt3r9ky4mYtW7bk/fffx9fXF1vbsv+qtrOzs9oZe0OPHj1wcnJi2bJlbN++nY8//rjc+7mxA7isOGWxtbVl6NChJCcnY2dnx8CBA0sVtzMzM/n3v/9tnv/ss8+wWCx4e3uXm3dgYCDvv/8+JSUl5g7g9PR0nJ2dqV+/vjnuwIEDVvM+++wz/P39sbGxqVT+n376KQ0aNOBPf/qTee7s2bOVmisiIiIiIiLye6CCsIjIbQgODiYqKorFixdXOM7f359NmzYRERGBYRhMmTLFaoepr68vQ4cOJSYmhsWLF9OiRQvOnj3L+fPn6d+/P2PGjGHlypUMGjSICRMmULNmTU6dOsXGjRtZtWoVNjY2+Pr6cuDAAbKzs7FYLNSsWZNq1aphY2NDdHQ0kydPxt/fn7Zt25abZ+3atXFwcGD79u3Ur1+fGjVq4OrqWuG9xcbGEhgYCFwv2v7StWvXGD58OK+++irZ2dlMnTqVuLg4sw9wWXmPHj2ahQsX8sc//pG4uDiOHz/O1KlTGT9+vDkPICcnh/HjxzNy5Eg+//xzlixZUmp3762+Lzk5OWzcuJHWrVuzZcsWPvjgg0rPFxF50GUn9KzqFERERESkiqmHsIjIbZoxY8Yt2we88cYbuLu7065dOyIiIggLC6Nly5ZWY5YtW8YzzzzD6NGjadq0KSNGjODy5cvA9V7A6enpFBUV8eSTTxIcHMy4ceNwc3MzC6Tx8fHY2NgQFBSEh4eHVR/c4cOHc+3aNYYNG1Zhnra2tixevJjly5dTt25devfufcv79/f3p127djRt2pRHH3201PWuXbvi7+9Px44dGTBgAE899RTTpk0zr5eVd7169di6dSsHDx6kRYsWjBo1yiwq32zIkCH8+9//pk2bNowZM4YXX3yR559//pY53/DUU0/x0ksvERcXR0hICJ9++ilTpkyp9HwRERERERGRB51RUlJSUtVJiIjI3fXJJ5/QtWtXzp07R506de5q7JKSEvz9/Rk9ejTjx4+3uhYdHc3FixdJS0u7q2sCdO7cmZCQEBYuXHjXY98LeXl5uLq6cunSJbO3tIiIiIiIiMi9UtnfQ9UyQkTkd6SgoIDvv/+eadOm0a9fv7teDP7+++/ZuHEj33777S13H4uIiIiIiIjI/UcFYRGR35ENGzYwfPhwQkJCeOutt+56/Nq1a/PQQw+xYsUK3N3d73p8EREREREREbm31DJCRETKZRgGH3zwAX369Cl3zL1sE3E3VFV+ahkhIiIiIiIiv6XK/h6ql8qJiNwl0dHRGIZBQkKC1fm0tDQMw6iirK7r3Lkz48aN+1UxsrOzMQyDjIyMu5LTb2XRokWkpKRUdRoiIiIiIiIi9wW1jBARuYtq1KhBYmIiI0eOVEuFCly7dg07O7vfZC1XV9ffZB0RkQeB76QtVZ2C/A5lJ/Ss6hRERETkNmiHsIjIXdStWzc8PT2ZM2dOpeecPn2a3r17U6dOHSwWC61bt2bnzp1WYwoKCpg4cSLe3t7Y29vj5+fH6tWrzevHjh2je/fuWCwW6tSpw+DBg/nhhx+A6zuX9+7dy6JFizAMA8MwOHPmDH5+fiQlJVmtk5GRgWEYnDp1qlSeDRs2BCA0NBTDMOjcubPV9aSkJLy8vKhVqxZjxoyhsLDQvObr68vMmTMZMmQILi4uPP/88wDs27ePDh064ODggLe3N2PHjuXy5cvmvJ9++okhQ4bg7u6Oo6Mj3bt35+TJk+b1lJQU3Nzc+OijjwgMDMRisRAeHk5ubq45Jjo62qrlRefOnRk7diwTJkygZs2aeHp6Mm3aNKt7uXjxIrGxsXh4eODi4kKXLl3IzMws9UxEREREREREHjQqCIuI3EU2NjbMnj2bJUuW8M0331RqTn5+Pj169GDXrl0cPXqU8PBwIiIiyMnJMccMGTKEDRs2sHjxYrKysli+fDkWiwW4Xrzs0qULoaGhHD58mO3bt/Pdd9/Rv39/4HrLhLZt2zJixAhyc3PJzc3Fx8eHmJgYkpOTrXJJTk6mY8eO+Pn5lcrz4MGDAOzcuZPc3Fw2bdpkXtu9ezenT59m9+7dpKamkpKSUqpNQ1JSEi1atODo0aNMmTKF06dPEx4eztNPP80XX3zB22+/zb59+4iLizPnREdHc/jwYTZv3sz+/fspKSmhR48eVsXmK1eukJSUxNq1a/n444/JyckhPj6+wmeempqKk5MTBw4cYO7cucyYMYMdO3aY1/v168f58+fZtm0bR44coWXLlnTt2pUff/yx3JgFBQXk5eVZfURERERERETuN2oZISJyl0VGRhISEsLUqVOtdvGWp0WLFrRo0cI8njlzJh988AGbN28mLi6OEydO8M4777Bjxw66desGQKNGjczxS5cuJTQ0lNmzZ5vn1qxZg7e3NydOnKBJkybY2dnh6OiIp6enOSY6OprXXnuNgwcP0qZNGwoLC1m/fn2pXcM3eHh4AFCrVi2rOADu7u4sXboUGxsbmjZtSs+ePdm1axcjRowwx3Tp0oWXX37ZPI6NjSUqKsrsbezv78/ixYvp1KkTy5Yt49y5c2zevJn09HTatWsHwLp16/D29iYtLY1+/foBUFhYyF/+8hcaN24MQFxcHDNmzKjwmTdv3pypU6ea6y5dupRdu3bxhz/8gX379nHw4EHOnz+Pvb09cL2YnZaWxnvvvWfubv6lOXPmMH369ArXFREREREREalq2iEsInIPJCYmkpqaSlZWltV5i8VifkaNGgVc3yEcHx9PYGAgbm5uWCwWsrKyzB3CGRkZ2NjY0KlTpzLXyszMZPfu3VaxmzZtCvx/7P17VNV13v//399s5eRWkDJQQ7cOIFjIIbWwGTQlUYgxCnHM0C3K2KhXYw2pXOW5ODgekpzMUQE7qHmNSprFjPpVNCpPieXEpYMjonMxaQckbEIDfn/wc3/acRBLA+txW2uvtffr/To8Xy9m4eLZa567rhxFY7p06UJ0dDRZWVkAbNu2jaqqKlui9VrccccdmEwm2+fOnTtz7tw5uz59+/atF3dOTo5d3JGRkdTU1HDq1CmKiopo06YNd999t23MLbfcQq9evezO1dXV1ZYMbmzt7+rTp4/d52+POXr0KJWVldxyyy12sZ06darJ80xJSeHChQu215kzZ5qMQURERERERKQl6IawiMgNEB4eTmRkJCkpKVitVlt7YWGh7X2HDh0ASE5OZseOHSxatAgfHx9cXFyIi4vj0qVLALi4uDS5VmVlJTExMWRkZNR71rlz5ybHTpw4kYSEBJYuXUp2djajRo3C1dW1mbv8f9q2bWv32TAMampq7NratWtXL+5Jkybx+OOP15uvW7dudrWCr3Xt2tra7x1vZWUlnTt3Zs+ePfXGubu7Nzqnk5OT7UaxiIiIiIiISGulhLCIyA2Snp5OcHAwvXr1srU1VJu3oKAAq9VKbGwsUJeQLCkpsT0PDAykpqaG/Px8W8mIbwsNDWXTpk1YLBbatGn417qjoyPV1dX12qOiomjXrh0rVqwgLy+PvXv3NrofR0dHgAbn+T5CQ0P5+OOPGzwTgICAAL755hv2799vKxnx2Wefcfz4cXr37n1dYmgsrn//+9+0adMGi8Vyw9YRERERERERaQlKCIuI3CCBgYGMGTOGzMzMJvv5+vqyefNmYmJiMAyDWbNm2d2utVgsjBs3jsTERDIzMwkKCuL06dOcO3eO+Ph4pkyZwqpVqxg9ejTTp0/Hw8OD4uJiNmzYwOrVqzGZTFgsFvbv309JSQlmsxkPDw8cHBwwmUxYrVZSUlLw9fUlLCys0Thvu+02XFxcyMvL4/bbb8fZ2Rk3N7fvfT4zZszgnnvuYerUqUycOJF27drx8ccfs2PHDpYvX46vry8jRowgKSmJlStX0r59e2bOnEnXrl0ZMWLE9173aiIiIggLC+PBBx9k4cKF+Pn58X//939s376d2NjYeqUvRERuJiXp0S0dgoiIiIi0MNUQFhG5gebPn1+vdMJ3LVmyhI4dOzJgwABiYmKIjIwkNDTUrs+KFSuIi4tj8uTJ+Pv7k5SUxMWLF4G6WsAFBQVUV1czdOhQAgMDmTZtGu7u7jg41P2aT05OxmQy0bt3bzp16mSrTwwwYcIELl26xPjx45uMs02bNmRmZrJy5Uq6dOnyg5Oyffr0IT8/nxMnTvCrX/2KkJAQZs+eTZcuXWx9srOzueuuu3jggQcICwujtraWt956q17Jh+vJMAzeeustwsPDGT9+PH5+fvzmN7/h9OnTeHp63rB1RURERERERH4MRu3VCi2KiMhP2r59+xgyZAhnzpxRwvM6qqiowM3NjQsXLtjqRYuIiIiIiIjcKM39O1QlI0REfqaqqqo4f/48c+fOZeTIkUoGi4iIiIiIiPwMqGSEiMjP1Pr16+nevTvl5eUsXLjwhq1jGAa5ubk3bP6rmTt3LsHBwS22voiIiIiIiEhrooSwiEgrYrVaMQyD9PR0u/bc3FwMw7jua1VXV3P48GG6du161f6DBg1i2rRpP2jNkpISDMOgsLDwB81zLZKTk9m1a9ePtp6IiIiIiIhIa6aSESIirYyzszMZGRlMmjSJjh07tnQ4N63a2lqqq6sxm82YzeaWDkdEpFWwzNze0iHIz1RJenRLhyAiIiL/f7ohLCLSykRERODl5UVaWlqzx5w8eZIRI0bg6emJ2WymX79+7Ny5065PVVUVM2bMwNvbGycnJ3x8fFizZo3t+bFjxxg+fDhmsxlPT08SEhL49NNPgbrbxPn5+SxbtgzDMDAMg1OnTuHj48OiRYvs1iksLMQwDIqLi+vF2aNHDwBCQkIwDINBgwYBcPDgQe6//35uvfVW3NzcGDhwIB988IFtXEM3i8vLyzEMgz179gCwZ88eDMPg7bff5q677sLJyYl33nmnXskIq9XKgw8+yKJFi+jcuTO33HILU6ZM4fLly3ZnlZycTNeuXWnXrh133323bR0RERERERGRm5kSwiIirYzJZCI1NZUXXniBs2fPNmtMZWUlUVFR7Nq1iyNHjjBs2DBiYmIoLS219Rk7dizr168nMzOToqIiVq5cabs5W15ezuDBgwkJCeHQoUPk5eXxySefEB8fD8CyZcsICwsjKSmJsrIyysrK6NatG4mJiWRnZ9vFkp2dTXh4OD4+PvXiPHDgAAA7d+6krKyMzZs3A/Dll18ybtw43nnnHd5//318fX2Jioriyy+/vObzmzlzJunp6RQVFdGnT58G++zevZuTJ0+ye/du1q5dS05ODjk5ObbnU6dO5b333mPDhg18+OGHjBw5kmHDhvGPf/zjmuMRERERERERaU1UMkJEpBWKjY0lODiYOXPm2N3ibUxQUBBBQUG2zwsWLGDLli1s3bqVqVOncuLECTZu3MiOHTuIiIgAoGfPnrb+y5cvJyQkhNTUVFtbVlYW3t7enDhxAj8/PxwdHXF1dcXLy8vWx2q1Mnv2bA4cOED//v25fPky69atq3dr+IpOnToBcMstt9jNM3jwYLt+f/7zn3F3dyc/P58HHnjgqvv/tvnz53P//fc32adjx44sX74ck8mEv78/0dHR7Nq1i6SkJEpLS8nOzqa0tJQuXboAdXWI8/LyyM7Otjujb6uqqqKqqsr2uaKi4priFhEREREREfkx6IawiEgrlZGRwdq1aykqKrJrv1IT12w289hjjwF1N4STk5MJCAjA3d0ds9lMUVGR7YZwYWEhJpOJgQMHNrjW0aNH2b17t93c/v7+QF05isZ06dKF6OhosrKyANi2bRtVVVWMHDnymvb6ySefkJSUhK+vL25ubnTo0IHKykq7G87N1bdv36v2ueOOOzCZTLbPnTt35ty5cwB89NFHVFdX4+fnZ3ce+fn5TZ5FWloabm5utpe3t/c1xy4iIiIiIiJyo+mGsIhIKxUeHk5kZCQpKSlYrVZb+7fr6Hbo0AGou8G6Y8cOFi1ahI+PDy4uLsTFxXHp0iUAXFxcmlyrsrKSmJgYMjIy6j3r3Llzk2MnTpxIQkICS5cuJTs7m1GjRuHq6trMXdYZN24cn332GcuWLaN79+44OTkRFhZmi9/Boe6/X9bW1trGfLvm77e1a9fuquu1bdvW7rNhGNTU1AB1Z2EymTh8+LBd0hho8svpUlJSePLJJ22fKyoqlBQWERERERGRVkcJYRGRViw9PZ3g4GB69epla2uoNm9BQQFWq5XY2FigLqlZUlJiex4YGEhNTQ35+fm2khHfFhoayqZNm7BYLLRp0/A/DY6OjlRXV9drj4qKol27dqxYsYK8vDz27t3b6H4cHR0B6s1TUFDAiy++SFRUFABnzpyxfaEd/L9SE2VlZYSEhAD2ifHrKSQkhOrqas6dO8evfvWrZo9zcnLCycnphsQkIiIiIiIicr0oISwi0ooFBgYyZswYMjMzm+zn6+vL5s2biYmJwTAMZs2aZbvxCmCxWBg3bhyJiYlkZmYSFBTE6dOnOXfuHPHx8UyZMoVVq1YxevRopk+fjoeHB8XFxWzYsIHVq1djMpmwWCzs37+fkpISzGYzHh4eODg4YDKZsFqtpKSk4OvrS1hYWKNx3nbbbbi4uJCXl8ftt9+Os7Mzbm5u+Pr68sorr9C3b18qKip46qmn7G41u7i4cM8995Cenk6PHj04d+4czzzzzA8/4Ab4+fkxZswYxo4dy+LFiwkJCeH8+fPs2rWLPn36EB0dfUPWFRH5MZSk63eYiIiIyM+dagiLiLRy8+fPt0vuNmTJkiV07NiRAQMGEBMTQ2RkJKGhoXZ9VqxYQVxcHJMnT8bf35+kpCQuXrwI1NUCLigooLq6mqFDhxIYGMi0adNwd3e3lWtITk7GZDLRu3dvOnXqZFffd8KECVy6dInx48c3GWebNm3IzMxk5cqVdOnShREjRgCwZs0avvjiC0JDQ0lISODxxx/ntttusxublZXFN998w1133cW0adN49tlnm3eA30N2djZjx47lD3/4A7169eLBBx/k4MGDdOvW7YatKSIiIiIiIvJjMGq/XZBRRETke9i3bx9DhgzhzJkzeHp6tnQ4rUJFRQVubm5cuHDBVutZRERERERE5EZp7t+hKhkhIiLfW1VVFefPn2fu3LmMHDlSyWARERERERGRVk4lI0RE5Htbv3493bt3p7y8nIULF7Z0OCIiIiIiIiJyFUoIi4jI92a1Wqmurubw4cN07dr1mscbhkFubu71D+xbBg0axLRp027oGiIiIiIiIiI3CyWERURuElarFcMwSE9Pt2vPzc3FMIwWiqpOa066bt68mQULFrR0GCIiIiIiIiKtgmoIi4jcRJydncnIyGDSpEl07NixpcNp1S5duoSjoyMeHh4tHYqISKthmbm9pUOQn6CS9OiWDkFERESugW4Ii4jcRCIiIvDy8iItLa3ZY06ePMmIESPw9PTEbDbTr18/du7cadenqqqKGTNm4O3tjZOTEz4+PqxZs8b2/NixYwwfPhyz2YynpycJCQl8+umnQN3N5fz8fJYtW4ZhGBiGwalTp/Dx8WHRokV26xQWFmIYBsXFxfXivHTpElOnTqVz5844OzvTvXt3u32Wl5czceJEOnXqRIcOHRg8eDBHjx61PZ87dy7BwcGsXr2aHj164OzsDNS/vWyxWEhNTSUxMZH27dvTrVs3/vznP9vFcubMGeLj43F3d8fDw4MRI0ZQUlLS7DMXERERERERaa2UEBYRuYmYTCZSU1N54YUXOHv2bLPGVFZWEhUVxa5duzhy5AjDhg0jJiaG0tJSW5+xY8eyfv16MjMzKSoqYuXKlZjNZqAuETt48GBCQkI4dOgQeXl5fPLJJ8THxwOwbNkywsLCSEpKoqysjLKyMrp160ZiYiLZ2dl2sWRnZxMeHo6Pj0+9ODMzM9m6dSsbN27k+PHjvPbaa1gsFtvzkSNHcu7cOd5++20OHz5MaGgoQ4YM4fPPP7f1KS4uZtOmTWzevJnCwsJGz2Tx4sX07duXI0eOMHnyZH73u99x/PhxAC5fvkxkZCTt27dn3759FBQUYDabGTZsGJcuXWrWmYuIiIiIiIi0VioZISJyk4mNjSU4OJg5c+bY3eJtTFBQEEFBQbbPCxYsYMuWLWzdupWpU6dy4sQJNm7cyI4dO4iIiACgZ8+etv7Lly8nJCSE1NRUW1tWVhbe3t6cOHECPz8/HB0dcXV1xcvLy9bHarUye/ZsDhw4QP/+/bl8+TLr1q2rd2v4itLSUnx9ffnlL3+JYRh0797d9uydd97hwIEDnDt3DicnJwAWLVpEbm4uf/nLX/jtb38L1N0yfvnll+nUqVOTZxIVFcXkyZMBmDFjBkuXLmX37t306tWL119/nZqaGlavXm2rzZydnY27uzt79uxh6NChDc5ZVVVFVVWV7XNFRUWTMYiIiIiIiIi0BN0QFhG5CWVkZLB27VqKiors2s1ms+312GOPAXU3hJOTkwkICMDd3R2z2UxRUZHthnBhYSEmk4mBAwc2uNbRo0fZvXu33dz+/v5AXTmKxnTp0oXo6GiysrIA2LZtG1VVVYwcObLB/larlcLCQnr16sXjjz/O3/72N7sYKisrueWWW+ziOHXqlF0M3bt3v2oyGKBPnz6294Zh4OXlxblz52xrFRcX0759e9s6Hh4efP31103uNy0tDTc3N9vL29v7qnGIiIiIiIiI/Nh0Q1hE5CYUHh5OZGQkKSkpWK1WW/u3yyR06NABgOTkZHbs2MGiRYvw8fHBxcWFuLg4W/kDFxeXJteqrKwkJiaGjIyMes86d+7c5NiJEyeSkJDA0qVLyc7OZtSoUbi6ujbYNzQ0lFOnTvH222+zc+dO4uPjiYiI4C9/+QuVlZV07tyZPXv21Bvn7u5ue9+uXbsm47mibdu2dp8Nw6Cmpgao2+9dd93Fa6+9Vm9cU8nmlJQUnnzySdvniooKJYVFRERERESk1VFCWETkJpWenk5wcDC9evWytTVUm7egoACr1UpsbCxQl/D89hekBQYGUlNTQ35+vq1kxLeFhoayadMmLBYLbdo0/M+Go6Mj1dXV9dqjoqJo164dK1asIC8vj7179za5pw4dOjBq1ChGjRpFXFwcw4YN4/PPPyc0NJR///vftGnTxq6u8I0QGhrK66+/zm233WZLqjeHk5OTrZyFiIiIiIiISGulhLCIyE0qMDCQMWPGkJmZ2WQ/X19fNm/eTExMDIZhMGvWLNttWACLxcK4ceNITEwkMzOToKAgTp8+zblz54iPj2fKlCmsWrWK0aNHM336dDw8PCguLmbDhg2sXr0ak8mExWJh//79lJSU2EosODg4YDKZsFqtpKSk4OvrS1hYWKNxLlmyhM6dOxMSEoKDgwP/8z//g5eXF+7u7kRERBAWFsaDDz7IwoUL8fPz4//+7//Yvn07sbGx9O3b97qd65gxY/jjH//IiBEjmD9/PrfffjunT59m8+bNTJ8+ndtvv/26rSUi8mMrSY9u6RBEREREpIWphrCIyE1s/vz5dsndhixZsoSOHTsyYMAAYmJiiIyMJDQ01K7PihUriIuLY/Lkyfj7+5OUlMTFixeBulrABQUFVFdXM3ToUAIDA5k2bRru7u44ONT9M5KcnIzJZKJ379506tTJVp8YYMKECVy6dInx48c3GWf79u1ZuHAhffv2pV+/fpSUlPDWW2/h4OCAYRi89dZbhIeHM378ePz8/PjNb37D6dOn8fT0/D5H1yhXV1f27t1Lt27deOihhwgICGDChAl8/fXX13RjWERERERERKQ1Mmpra2tbOggREfnp2rdvH0OGDOHMmTPXPXnbmlVUVODm5saFCxeUSBYREREREZEbrrl/h6pkhIiI3BBVVVWcP3+euXPnMnLkyJ9VMlhERERERESktVLJCBERuSHWr19P9+7dKS8vZ+HChS0djoiIiIiIiIighLCIiACGYZCbm3td57RarVRXV3P48GG6du16Xee+Fnv27MEwDMrLy1ssBhEREREREZHWQglhEZFrZLVaMQyD9PR0u/bc3FwMw2ihqOoMGjSIadOmtWgMV8ydO5fg4OCWDoMBAwZQVlaGm5tbS4ciIiIiIiIi0uJUQ1hE5HtwdnYmIyODSZMm0bFjx5YO56Z2+fJl2rZte8Pmd3R0xMvL64bNLyJyM7HM3N7SIfyslKRHt3QIIiIiIvXohrCIyPcQERGBl5cXaWlpzR5z8uRJRowYgaenJ2azmX79+rFz5067PlVVVcyYMQNvb2+cnJzw8fFhzZo1tufHjh1j+PDhmM1mPD09SUhI4NNPPwXqbi7n5+ezbNkyDMPAMAxOnTqFj48PixYtslunsLAQwzAoLi6uF2dJSQmGYbBhwwYGDBiAs7Mzd955J/n5+bY+OTk5uLu724379g3pnJwc5s2bx9GjR22x5OTkAHXlKVasWMGvf/1r2rVrx3PPPQfAG2+8QWhoKM7OzvTs2ZN58+bxzTffAFBbW8vcuXPp1q0bTk5OdOnShccff7xZ5/bdkhFXYv/rX/9KQEAAZrOZYcOGUVZWZref1atXExAQgLOzM/7+/rz44ouN/3BFREREREREbhJKCIuIfA8mk4nU1FReeOEFzp4926wxlZWVREVFsWvXLo4cOcKwYcOIiYmhtLTU1mfs2LGsX7+ezMxMioqKWLlyJWazGYDy8nIGDx5MSEgIhw4dIi8vj08++YT4+HgAli1bRlhYGElJSZSVlVFWVka3bt1ITEwkOzvbLpbs7GzCw8Px8fFpNN6nnnqKP/zhDxw5coSwsDBiYmL47LPPmrXXUaNG8Yc//IE77rjDFsuoUaNsz+fOnUtsbCwfffQRiYmJ7Nu3j7Fjx/L73/+ejz/+mJUrV5KTk2NLFm/atImlS5eycuVK/vGPf5Cbm0tgYGCzzq0hX331FYsWLeKVV15h7969lJaWkpycbHv+2muvMXv2bJ577jmKiopITU1l1qxZrF27tln7FxEREREREWmtVDJCROR7io2NJTg4mDlz5tjd4m1MUFAQQUFBts8LFixgy5YtbN26lalTp3LixAk2btzIjh07iIiIAKBnz562/suXLyckJITU1FRbW1ZWFt7e3pw4cQI/Pz8cHR1xdXW1K5FgtVqZPXs2Bw4coH///ly+fJl169bVuzX8XVOnTuXhhx8GYMWKFeTl5bFmzRqmT59+1b26uLhgNptp06ZNg+UaHnnkEcaPH2/7nJiYyMyZMxk3bpxt3wsWLGD69OnMmTOH0tJSvLy8iIiIoG3btnTr1o3+/fsDXPXcGnL58mVeeuklfvGLX9j2On/+fNvzOXPmsHjxYh566CEAevToYUtUX4nxu6qqqqiqqrJ9rqiouOo5iYiIiIiIiPzYdENYROQHyMjIYO3atRQVFdm1m81m2+uxxx4D6m4IJycnExAQgLu7O2azmaKiItsN4cLCQkwmEwMHDmxwraNHj7J79267uf39/YG6chSN6dKlC9HR0WRlZQGwbds2qqqqGDlyZJN7CwsLs71v06YNffv2rbfP76tv3752n48ePcr8+fPt9nblpvNXX33FyJEj+c9//kPPnj1JSkpiy5YttnISVzu3hri6utqSwQCdO3fm3LlzAFy8eJGTJ08yYcIEu3ieffbZJs85LS0NNzc328vb2/tajkRERERERETkR6EbwiIiP0B4eDiRkZGkpKRgtVpt7YWFhbb3HTp0ACA5OZkdO3awaNEifHx8cHFxIS4ujkuXLgF1t2qbUllZSUxMDBkZGfWede7cucmxEydOJCEhgaVLl5Kdnc2oUaNwdXVt5i7rc3BwoLa21q7t8uXLzR7frl07u8+VlZXMmzfPdiP325ydnfH29ub48ePs3LmTHTt2MHnyZP74xz+Sn59/1XNryHe/xM4wDNt+KisrAVi1ahV33323XT+TydTonCkpKTz55JO2zxUVFUoKi4iIiIiISKujhLCIyA+Unp5OcHAwvXr1srU1VJu3oKAAq9VKbGwsUJd4LCkpsT0PDAykpqaG/Px8W+mDbwsNDWXTpk1YLBbatGn417ejoyPV1dX12qOiomjXrp2t9MPevXuvuq/333+f8PBwAL755hsOHz7M1KlTAejUqRNffvklFy9etCV3v50EbyqWhoSGhnL8+PEmaxq7uLgQExNDTEwMU6ZMwd/fn48++uiq53atPD096dKlC//85z8ZM2ZMs8c5OTnh5OT0g9cXERERERERuZGUEBYR+YECAwMZM2YMmZmZTfbz9fVl8+bNxMTEYBgGs2bNoqamxvbcYrEwbtw4EhMTyczMJCgoiNOnT3Pu3Dni4+OZMmUKq1atYvTo0UyfPh0PDw+Ki4vZsGEDq1evxmQyYbFY2L9/PyUlJZjNZjw8PHBwcMBkMmG1WklJScHX19euHERj/vSnP+Hr60tAQABLly7liy++IDExEYC7774bV1dX/vu//5vHH3+c/fv3k5OTYzfeYrFw6tQpCgsLuf3222nfvn2jCdPZs2fzwAMP0K1bN+Li4nBwcODo0aMcO3aMZ599lpycHKqrq23rvvrqq7i4uNC9e3duueWWJs/t+5g3bx6PP/44bm5uDBs2jKqqKg4dOsQXX3xhdwtYRORmU5Ie3dIhiIiIiEgLUw1hEZHrYP78+XbJ3YYsWbKEjh07MmDAAGJiYoiMjCQ0NNSuz4oVK4iLi2Py5Mn4+/uTlJTExYsXgbpawAUFBVRXVzN06FACAwOZNm0a7u7uODjU/TpPTk7GZDLRu3dvOnXqZKtPDDBhwgQuXbpk92VuTUlPTyc9PZ2goCDeeecdtm7dyq233gqAh4cHr776Km+99RaBgYGsX7+euXPn2o1/+OGHGTZsGPfddx+dOnVi/fr1ja4VGRnJm2++yd/+9jf69evHPffcw9KlS+nevTsA7u7urFq1invvvZc+ffqwc+dOtm3bxi233HLVc/s+Jk6cyOrVq8nOziYwMJCBAweSk5NDjx49vvecIiIiIiIiIq2BUfvdIpAiIvKTtG/fPoYMGcKZM2fw9PRstF9JSQk9evTgyJEjBAcH/3gB/sRUVFTg5ubGhQsXbHWkRURERERERG6U5v4dqpIRIiI/cVVVVZw/f565c+cycuTIJpPBIiIiIiIiIvLTppIRIiI/cevXr6d79+6Ul5ezcOHClg5HRERERERERFqQEsIiIj9xVquV6upqDh8+TNeuXa/a32KxUFtbe93LRRiGQW5u7nWdsyF79uzBMAzKy8sByMnJwd3d/YavKyIiIiIiInIzUEJYRKQVslqtGIZBenq6XXtubi6GYbRQVHUGDRrEtGnTWjSGazFq1ChOnDjR0mGIiIiIiIiItAqqISwi0ko5OzuTkZHBpEmT6NixY0uH0+Jqa2uprq6mTZtr+6fLxcUFFxeXGxSViMjNxTJze0uH8LNSkh7d0iGIiIiI1KMbwiIirVRERAReXl6kpaU1e8zJkycZMWIEnp6emM1m+vXrx86dO+36VFVVMWPGDLy9vXFycsLHx4c1a9bYnh87dozhw4djNpvx9PQkISGBTz/9FKi7uZyfn8+yZcswDAPDMDh16hQ+Pj4sWrTIbp3CwkIMw6C4uLhenCUlJRiGwYYNGxgwYADOzs7ceeed5Ofn2/pcKf3w9ttvc9ddd+Hk5MQ777xDVVUVjz/+OLfddhvOzs788pe/5ODBg42eyXdLRsydO5fg4GBeeeUVLBYLbm5u/OY3v+HLL7+09ampqSEtLY0ePXrg4uJCUFAQf/nLX5r3QxARERERERFpxZQQFhFppUwmE6mpqbzwwgucPXu2WWMqKyuJiopi165dHDlyhGHDhhETE0Npaamtz9ixY1m/fj2ZmZkUFRWxcuVKzGYzAOXl5QwePJiQkBAOHTpEXl4en3zyCfHx8QAsW7aMsLAwkpKSKCsro6ysjG7dupGYmEh2drZdLNnZ2YSHh+Pj49NovE899RR/+MMfOHLkCGFhYcTExPDZZ5/Z9Zk5cybp6ekUFRXRp08fpk+fzqZNm1i7di0ffPABPj4+REZG8vnnnzfrjKAucZ6bm8ubb77Jm2++SX5+vl15jrS0NF5++WVeeukl/v73v/PEE0/w6KOP2iWsv6uqqoqKigq7l4iIiIiIiEhro4SwiEgrFhsbS3BwMHPmzGlW/6CgICZNmsSdd96Jr68vCxYs4Be/+AVbt24F4MSJE2zcuJGsrCxiY2Pp2bMnQ4YMYdSoUQAsX76ckJAQUlNT8ff3JyQkhKysLHbv3s2JEydwc3PD0dERV1dXvLy88PLywmQyYbVaOX78OAcOHADg8uXLrFu3jsTExCbjnTp1Kg8//DABAQGsWLECNzc3u9vKAPPnz+f+++/nF7/4BU5OTqxYsYI//vGPDB8+nN69e7Nq1SpcXFzqjWtKTU0NOTk53HnnnfzqV78iISGBXbt2AXWJ3dTUVLKysoiMjKRnz55YrVYeffRRVq5c2eicaWlpuLm52V7e3t7NjkdERERERETkx6KEsIhIK5eRkcHatWspKiqyazebzbbXY489BtTdEE5OTiYgIAB3d3fMZjNFRUW2G8KFhYWYTCYGDhzY4FpHjx5l9+7ddnP7+/sDdbdqG9OlSxeio6PJysoCYNu2bVRVVTFy5Mgm9xYWFmZ736ZNG/r27Vtvn3379rW9P3nyJJcvX+bee++1tbVt25b+/fvXG9cUi8VC+/btbZ87d+7MuXPnACguLuarr77i/vvvtzuHl19+uckzSElJ4cKFC7bXmTNnmh2PiIiIiIiIyI9FXyonItLKhYeHExkZSUpKClar1dZeWFhoe9+hQwcAkpOT2bFjB4sWLcLHxwcXFxfi4uK4dOkSwFW/XK2yspKYmBgyMjLqPevcuXOTYydOnEhCQgJLly4lOzubUaNG4erq2sxdNq5du3Y/eI7vatu2rd1nwzCoqakB6s4AYPv27XTt2tWun5OTU6NzOjk5NflcREREREREpDVQQlhE5CaQnp5OcHAwvXr1srU1VJu3oKAAq9VKbGwsUJfcLCkpsT0PDAykpqaG/Px8IiIi6o0PDQ1l06ZNWCwW2rRp+J8IR0dHqqur67VHRUXRrl07VqxYQV5eHnv37r3qvt5//33Cw8MB+Oabbzh8+DBTp05ttP8vfvELHB0dKSgooHv37kBdeYqDBw8ybdq0q67XHL1798bJyYnS0tJGb1KLiIiIiIiI3KyUEBYRuQkEBgYyZswYMjMzm+zn6+vL5s2biYmJwTAMZs2aZbv5CnWlEsaNG0diYiKZmZkEBQVx+vRpzp07R3x8PFOmTGHVqlWMHj2a6dOn4+HhQXFxMRs2bGD16tWYTCYsFgv79++npKQEs9mMh4cHDg4OtlrCKSkp+Pr62pWDaMyf/vQnfH19CQgIYOnSpXzxxRdN1h1u164dv/vd73jqqafw8PCgW7duLFy4kK+++ooJEyY0/0Cb0L59e5KTk3niiSeoqanhl7/8JRcuXKCgoIAOHTowbty467KOiEhLKEmPbukQRERERKSFqYawiMhNYv78+XbJ3YYsWbKEjh07MmDAAGJiYoiMjCQ0NNSuz4oVK4iLi2Py5Mn4+/uTlJTExYsXgbpawAUFBVRXVzN06FACAwOZNm0a7u7uODjU/ZORnJyMyWSid+/edOrUyVafGGDChAlcunSJ8ePHN2tP6enppKenExQUxDvvvMPWrVu59dZbrzrm4YcfJiEhgdDQUIqLi/nrX/9Kx44dm7VmcyxYsIBZs2aRlpZGQEAAw4YNY/v27fTo0eO6rSEiIiIiIiLSEoza2tralg5CRER+Gvbt28eQIUM4c+YMnp6ejfYrKSmhR48eHDlyhODg4B8vwB9RRUUFbm5uXLhwwVbjWURERERERORGae7foSoZISIiP1hVVRXnz59n7ty5jBw5sslksIiIiIiIiIi0HJWMEBGRH2z9+vV0796d8vJyFi5c2NLhiIiIiIiIiEgjlBAWEWnlDMMgNze32f337NmDYRiUl5ffsJi+y2q1Ul1dzeHDh+natautvbHYLRYLtbW19cpFzJ0797qXkGiJ8xARERERERFprZQQFpGfFKvVimEYpKen27Xn5uZiGEYLRVVn0KBBTJs2rUVj+DkaMGAAZWVluLm5tXQoIiIiIiIiIi1ONYRF5CfH2dmZjIwMJk2aRMeOHVs6HGlhjo6OeHl5tXQYIiKtgmXm9pYOoVUpSY9u6RBEREREfnS6ISwiPzkRERF4eXmRlpbW7DEnT55kxIgReHp6Yjab6devHzt37rTrU1VVxYwZM/D29sbJyQkfHx/WrFlje37s2DGGDx+O2WzG09OThIQEPv30U6Du5nJ+fj7Lli3DMAwMw+DUqVP4+PiwaNEiu3UKCwsxDIPi4uJ6cZaUlGAYBhs2bGDAgAE4Oztz5513kp+fX6/v4cOH6du3L66urgwYMIDjx4/bPX/jjTcIDQ3F2dmZnj17Mm/ePL755hvbc8MwWL16NbGxsbi6uuLr68vWrVsBqK2tvebYAWbMmIGfnx+urq707NmTWbNmcfny5Qb7Ahw8eJD777+fW2+9FTc3NwYOHMgHH3xg16epOKF+yYicnBzc3d3561//SkBAAGazmWHDhlFWVmY37+rVqwkICMDZ2Rl/f39efPHFRuMUERERERERuVkoISwiPzkmk4nU1FReeOEFzp4926wxlZWVREVFsWvXLo4cOcKwYcOIiYmhtLTU1mfs2LGsX7+ezMxMioqKWLlyJWazGYDy8nIGDx5MSEgIhw4dIi8vj08++YT4+HgAli1bRlhYGElJSZSVlVFWVka3bt1ITEwkOzvbLpbs7GzCw8Px8fFpNN6nnnqKP/zhDxw5coSwsDBiYmL47LPP7Po8/fTTLF68mEOHDtGmTRsSExNtz/bt28fYsWP5/e9/z8cff8zKlSvJycnhueees5tj3rx5xMfH8+GHHxIVFcWYMWP4/PPPMQzje8Xevn17cnJy+Pjjj1m2bBmrVq1i6dKlje7zyy+/ZNy4cbzzzju8//77+Pr6EhUVxZdfftmsOBvz1VdfsWjRIl555RX27t1LaWkpycnJtuevvfYas2fP5rnnnqOoqIjU1FRmzZrF2rVrG52zqqqKiooKu5eIiIiIiIhIa6OEsIj8JMXGxhIcHMycOXOa1T8oKIhJkyZx55134uvry4IFC/jFL35hu2l64sQJNm7cSFZWFrGxsfTs2ZMhQ4YwatQoAJYvX05ISAipqan4+/sTEhJCVlYWu3fv5sSJE7i5ueHo6IirqyteXl54eXlhMpmwWq0cP36cAwcOAHD58mXWrVtnl7xtyNSpU3n44YcJCAhgxYoVuLm52d1WBnjuuecYOHAgvXv3ZubMmbz77rt8/fXXQF0CdebMmYwbN46ePXty//33s2DBAlauXGk3h9VqZfTo0fj4+JCamkplZaUt1u8T+zPPPMOAAQOwWCzExMSQnJzMxo0bG+0/ePBgHn30Ufz9/QkICODPf/4zX331Vb0b0U3F2ZDLly/z0ksv0bdvX0JDQ5k6dSq7du2yPZ8zZw6LFy/moYceokePHjz00EM88cQT9c7n29LS0nBzc7O9vL29G+0rIiIiIiIi0lKUEBaRn6yMjAzWrl1LUVGRXbvZbLa9HnvsMaDuhnBycjIBAQG4u7tjNpspKiqy3RAuLCzEZDIxcODABtc6evQou3fvtpvb398fqCtH0ZguXboQHR1NVlYWANu2baOqqoqRI0c2ubewsDDb+zZt2tC3b996++zTp4/tfefOnQE4d+6cLd758+fbxXvl9vJXX33V4Bzt2rWjQ4cOtjm+T+yvv/469957L15eXpjNZp555hm7W9jf9cknn5CUlISvry9ubm506NCBysrKemOairMhrq6u/OIXv7A7nyv9L168yMmTJ5kwYYLd+Tz77LNN/ixTUlK4cOGC7XXmzJlG+4qIiIiIiIi0FH2pnIj8ZIWHhxMZGUlKSgpWq9XWXlhYaHvfoUMHAJKTk9mxYweLFi3Cx8cHFxcX4uLiuHTpEgAuLi5NrlVZWUlMTAwZGRn1nl1JxjZm4sSJJCQksHTpUrKzsxk1ahSurq7N3GXj2rZta3tvGAYANTU1tnjnzZvHQw89VG+cs7Nzg3NcmefKHNca+3vvvceYMWOYN28ekZGRuLm5sWHDBhYvXtzoHsaNG8dnn33GsmXL6N69O05OToSFhdl+Ls2N87sa6l9bWwvUnQ3AqlWruPvuu+36mUymRud0cnLCycmp0eciIiIiIiIirYESwiLyk5aenk5wcDC9evWytTVU37agoACr1UpsbCxQlxQsKSmxPQ8MDKSmpob8/HwiIiLqjQ8NDWXTpk1YLBbatGn4V6ujoyPV1dX12qOiomjXrh0rVqwgLy+PvXv3XnVf77//PuHh4QB88803HD58mKlTp1513LfjPX78eJN1ipvjWmJ/99136d69O08//bSt7fTp003OX1BQwIsvvkhUVBQAZ86csX1R343i6elJly5d+Oc//8mYMWNu6FoiIiIiIiIiPzYlhEXkJy0wMJAxY8aQmZnZZD9fX182b95MTEwMhmEwa9YsuxumFouFcePGkZiYSGZmJkFBQZw+fZpz584RHx/PlClTWLVqFaNHj2b69Ol4eHhQXFzMhg0bWL16NSaTCYvFwv79+ykpKcFsNuPh4YGDg4OtlnBKSgq+vr525SAa86c//QlfX18CAgJYunQpX3zxxVXrDn/b7NmzeeCBB+jWrRtxcXE4ODhw9OhRjh07xrPPPtvsea4ldl9fX0pLS9mwYQP9+vVj+/btbNmypcn5fX19eeWVV+jbty8VFRU89dRTV72tfT3MmzePxx9/HDc3N4YNG0ZVVRWHDh3iiy++4Mknn7zh64uI3Cgl6dEtHYKIiIiItDDVEBaRn7z58+c3WT4AYMmSJXTs2JEBAwYQExNDZGQkoaGhdn1WrFhBXFwckydPxt/fn6SkJC5evAjU1dMtKCigurqaoUOHEhgYyLRp03B3d8fBoe5XbXJyMiaTid69e9OpUye7OrgTJkzg0qVLjB8/vll7Sk9PJz09naCgIN555x22bt3Krbfe2uwziYyM5M033+Rvf/sb/fr145577mHp0qV079692XNca+y//vWveeKJJ5g6dSrBwcG8++67zJo1q8kxa9as4YsvviA0NJSEhAQef/xxbrvttmuO8VpNnDiR1atXk52dTWBgIAMHDiQnJ4cePXrc8LVFREREREREbiSj9krRRBERaTH79u1jyJAhnDlzBk9Pz0b7lZSU0KNHD44cOUJwcPCPF2ATmhv7z01FRQVubm5cuHDBVqtaRERERERE5EZp7t+hKhkhItKCqqqqOH/+PHPnzmXkyJE3VUL1Zo5dRERERERE5OdKJSNERFrQ+vXr6d69O+Xl5SxcuLClw7kmN3PsIiIiIiIiIj9XKhkhIvIzYhgGW7Zs4cEHH/zR17ZarZSXl5Obm9toH4vFwrRp05g2bdp1W3fQoEEEBwfz/PPPX7c5m0MlI0REREREROTH1Ny/Q3VDWESkEVarFcMwSE9Pt2vPzc3FMIwWiqrOoEGDrmvS9HoqKSnBMAwKCwuveezBgwf57W9/e13j2bx5MwsWLLiuc4qIiIiIiIjcrFRDWESkCc7OzmRkZDBp0iQ6duzY0uH85HXq1Om6z+nh4XHd5xQRuVlZZm5v6RAAKEmPbukQRERERH62dENYRKQJEREReHl5kZaW1uwxJ0+eZMSIEXh6emI2m+nXrx87d+6061NVVcWMGTPw9vbGyckJHx8f1qxZY3t+7Ngxhg8fjtlsxtPTk4SEBD799FOg7uZyfn4+y5YtwzAMDMPg1KlT+Pj4sGjRIrt1CgsLMQyD4uLienFeucm7ceNGfvWrX+Hi4kK/fv04ceIEBw8epG/fvpjNZoYPH8758+ftxq5evZqAgACcnZ3x9/fnxRdftD3r0aMHACEhIRiGwaBBg+zGLlq0iM6dO3PLLbcwZcoULl++bHtmsVjsSjuUlpYyYsQIzGYzHTp0ID4+nk8++cT2fO7cuQQHB/PKK69gsVhwc3PjN7/5DV9++aWtz3dvU1ssFlJTU0lMTKR9+/Z069aNP//5z3Yxnjlzhvj4eNzd3fHw8GDEiBGUlJTUO0MRERERERGRm40SwiIiTTCZTKSmpvLCCy9w9uzZZo2prKwkKiqKXbt2ceTIEYYNG0ZMTAylpaW2PmPHjmX9+vVkZmZSVFTEypUrMZvNAJSXlzN48GBCQkI4dOgQeXl5fPLJJ8THxwOwbNkywsLCSEpKoqysjLKyMrp160ZiYiLZ2dl2sWRnZxMeHo6Pj0+j8c6ZM4dnnnmGDz74gDZt2vDII48wffp0li1bxr59+yguLmb27Nm2/q+99hqzZ8/mueeeo6ioiNTUVGbNmsXatWsBOHDgAAA7d+6krKyMzZs328bu3r2bkydPsnv3btauXUtOTg45OTkNxlVTU8OIESP4/PPPyc/PZ8eOHfzzn/9k1KhRdv1OnjxJbm4ub775Jm+++Sb5+fn1ynx81+LFi+nbty9Hjhxh8uTJ/O53v+P48eMAXL58mcjISNq3b8++ffsoKCjAbDYzbNgwLl261OicVVVVVFRU2L1EREREREREWhuVjBARuYrY2FiCg4OZM2eO3S3exgQFBREUFGT7vGDBArZs2cLWrVuZOnUqJ06cYOPGjezYsYOIiAgAevbsaeu/fPlyQkJCSE1NtbVlZWXh7e3NiRMn8PPzw9HREVdXV7y8vGx9rFYrs2fP5sCBA/Tv35/Lly+zbt26ereGvys5OZnIyEgAfv/73zN69Gh27drFvffeC8CECRPskrZz5sxh8eLFPPTQQ0DdjeCPP/6YlStXMm7cOFvZh1tuucUuPoCOHTuyfPlyTCYT/v7+REdHs2vXLpKSkurFtWvXLj766CNOnTqFt7c3AC+//DJ33HEHBw8epF+/fkBd4jgnJ4f27dsDkJCQwK5du3juueca3XNUVBSTJ08GYMaMGSxdupTdu3fTq1cvXn/9dWpqali9erWtVnR2djbu7u7s2bOHoUOHNjhnWloa8+bNa+KkRURERERERFqebgiLiDRDRkYGa9eupaioyK7dbDbbXo899hhQd0M4OTmZgIAA3N3dMZvNFBUV2W4IFxYWYjKZGDhwYINrHT16lN27d9vN7e/vD9Tdhm1Mly5diI6OJisrC4Bt27ZRVVXFyJEjm9xbnz59bO89PT0BCAwMtGs7d+4cABcvXuTkyZNMmDDBLr5nn322ydiuuOOOOzCZTLbPnTt3ts39XUVFRXh7e9uSwQC9e/fG3d3d7udgsVhsyeCrzdnQng3DwMvLyzbm6NGjFBcX0759e9v+PDw8+Prrr5vcY0pKChcuXLC9zpw502QMIiIiIiIiIi1BN4RFRJohPDycyMhIUlJSsFqttvbCwkLb+w4dOgB1N2537NjBokWL8PHxwcXFhbi4OFu5ARcXlybXqqysJCYmhoyMjHrPOnfu3OTYiRMnkpCQwNKlS8nOzmbUqFG4uro2OaZt27a291duxH63raamxhYbwKpVq7j77rvt5vl2orc5a3137u/r+8zZ1JjKykruuusuXnvttXrjmvrSOycnJ5ycnJobtoiIiIiIiEiLUEJYRKSZ0tPTCQ4OplevXra2hmrzFhQUYLVaiY2NBeoSjN/+QrLAwEBqamrIz8+3lYz4ttDQUDZt2oTFYqFNm4Z/TTs6OlJdXV2vPSoqinbt2rFixQry8vLYu3fvtW6zSZ6ennTp0oV//vOfjBkzptHYgAbjuxYBAQGcOXOGM2fO2G4Jf/zxx5SXl9O7d+8fNHdTQkNDef3117nttttsSX4RERERERGRnwolhEVEmikwMJAxY8aQmZnZZD9fX182b95MTEwMhmEwa9YsuxurFouFcePGkZiYSGZmJkFBQZw+fZpz584RHx/PlClTWLVqFaNHj2b69Ol4eHhQXFzMhg0bWL16NSaTCYvFwv79+ykpKbGVNHBwcMBkMmG1WklJScHX15ewsLDrfg7z5s3j8ccfx83NjWHDhlFVVcWhQ4f44osvePLJJ7nttttwcXEhLy+P22+/HWdnZ9zc3K55nYiICNuZP//883zzzTdMnjyZgQMH0rdv3+u+ryvGjBnDH//4R0aMGMH8+fO5/fbbOX36NJs3b2b69OncfvvtN2xtEZEbrSQ9uqVDEBEREZEWphrCIiLXYP78+VctR7BkyRI6duzIgAEDiImJITIyktDQULs+K1asIC4ujsmTJ+Pv709SUhIXL14E6moBFxQUUF1dzdChQwkMDGTatGm4u7vj4FD3azs5ORmTyUTv3r3p1KmTrT4x1H0J3KVLlxg/fvx13n2diRMnsnr1arKzswkMDGTgwIHk5OTQo0cPANq0aUNmZiYrV66kS5cujBgx4nutYxgGb7zxBh07diQ8PJyIiAh69uzJ66+/fj23U4+rqyt79+6lW7duPPTQQwQEBDBhwgS+/vpr3RgWERERERGRm55RW1tb29JBiIjI9bNv3z6GDBnCmTNnbF8SJz++iooK3NzcuHDhghLJIiIiIiIicsM19+9QlYwQEfmJqKqq4vz588ydO5eRI0cqGSwiIiIiIiIi9ahkhIjIT8T69evp3r075eXlLFy4sKXDEREREREREZFWSAlhEZGfCKvVSnV1NYcPH6Zr164tHY6NYRjk5uYCUFJSgmEYFBYW/mjr5+Tk4O7u/qOtJyIiIiIiItKaKSEsItKKWK1WDMMgPT3drj03NxfDMFooqjqDBg1i2rRpLRrD9zFq1ChOnDjR0mGIiIiIiIiItAqqISwi0so4OzuTkZHBpEmT6NixY0uHc9NzcXHBxcWlpcMQEWkVLDO3t3QIch2VpEe3dAgiIiJyE9INYRGRViYiIgIvLy/S0tKaPebkyZOMGDECT09PzGYz/fr1Y+fOnXZ9qqqqmDFjBt7e3jg5OeHj48OaNWtsz48dO8bw4cMxm814enqSkJDAp59+CtTdXM7Pz2fZsmUYhoFhGJw6dQofHx8WLVpkt05hYSGGYVBcXNys2JtaF8BisfD888/bjQkODmbu3Lm2z+Xl5UyaNAlPT0+cnZ258847efPNN4H6JSPmzp1LcHAwr7zyChaLBTc3N37zm9/w5Zdf2vrU1NSQlpZGjx49cHFxISgoiL/85S/N2o+IiIiIiIhIa6aEsIhIK2MymUhNTeWFF17g7NmzzRpTWVlJVFQUu3bt4siRIwwbNoyYmBhKS0ttfcaOHcv69evJzMykqKiIlStXYjabgbqE6uDBgwkJCeHQoUPk5eXxySefEB8fD8CyZcsICwsjKSmJsrIyysrK6NatG4mJiWRnZ9vFkp2dTXh4OD4+PleN+2rrNkdNTQ3Dhw+noKCAV199lY8//pj09HRMJlOjY06ePElubi5vvvkmb775Jvn5+XZlOtLS0nj55Zd56aWX+Pvf/84TTzzBo48+Sn5+fqNzVlVVUVFRYfcSERERERERaW1UMkJEpBWKjY0lODiYOXPm2N3ibUxQUBBBQUG2zwsWLGDLli1s3bqVqVOncuLECTZu3MiOHTuIiIgAoGfPnrb+y5cvJyQkhNTUVFtbVlYW3t7enDhxAj8/PxwdHXF1dcXLy8vWx2q1Mnv2bA4cOED//v25fPky69atq3druDHNWfdqdu7cyYEDBygqKrL1//beGlJTU0NOTg7t27cHICEhgV27dvHcc89RVVVFamoqO3fuJCwszDbfO++8w8qVKxk4cGCDc6alpTFv3rxm7VtERERERESkpeiGsIhIK5WRkcHatWspKiqyazebzbbXY489BtTdEE5OTiYgIAB3d3fMZjNFRUW2G8KFhYWYTKZGk5lHjx5l9+7ddnP7+/sDdbdpG9OlSxeio6PJysoCYNu2bVRVVTFy5Mhm7fH7rvtthYWF3H777c1KHl9hsVhsyWCAzp07c+7cOQCKi4v56quvuP/+++3ievnll5uMKSUlhQsXLtheZ86caXY8IiIiIiIiIj8W3RAWEWmlwsPDiYyMJCUlBavVamsvLCy0ve/QoQMAycnJ7Nixg0WLFuHj44OLiwtxcXFcunQJ4KpfqlZZWUlMTAwZGRn1nnXu3LnJsRMnTiQhIYGlS5eSnZ3NqFGjcHV1bdYem7Oug4MDtbW1ds8uX75se/99vjCubdu2dp8Nw6CmpsYWE8D27dvp2rWrXT8nJ6dG53RycmryuYiIiIiIiEhroISwiEgrlp6eTnBwML169bK1NVSbt6CgAKvVSmxsLFCX1CwpKbE9DwwMpKamhvz8fFvJiG8LDQ1l06ZNWCwW2rRp+J8GR0dHqqur67VHRUXRrl07VqxYQV5eHnv37m32/pqzbqdOnSgrK7N9rqio4NSpU7bPffr04ezZs80uMXE1vXv3xsnJidLS0kZvVIuIiIiIiIjcrJQQFhFpxQIDAxkzZgyZmZlN9vP19WXz5s3ExMRgGAazZs2y3XiFuhIJ48aNIzExkczMTIKCgjh9+jTnzp0jPj6eKVOmsGrVKkaPHs306dPx8PCguLiYDRs2sHr1akwmExaLhf3791NSUoLZbMbDwwMHBwdMJhNWq5WUlBR8fX1tdXeboznrDh48mJycHGJiYnB3d2f27Nl2Xxg3cOBAwsPDefjhh1myZAk+Pj787//+L4ZhMGzYsGs+8/bt25OcnMwTTzxBTU0Nv/zlL7lw4QIFBQV06NCBcePGXfOcIiKtRUl6dEuHICIiIiItTDWERURaufnz59sldxuyZMkSOnbsyIABA4iJiSEyMpLQ0FC7PitWrCAuLo7Jkyfj7+9PUlISFy9eBOpqARcUFFBdXc3QoUMJDAxk2rRpuLu74+BQ909FcnIyJpOJ3r1706lTJ1t9YoAJEyZw6dIlxo8ff017a866KSkpDBw4kAceeIDo6GgefPBBfvGLX9jNs2nTJvr168fo0aPp3bs306dPb/A2c3MtWLCAWbNmkZaWRkBAAMOGDWP79u306NHje88pIiIiIiIi0hoYtd8tzCgiInKN9u3bx5AhQzhz5gyenp4tHU6rUFFRgZubGxcuXLDVehYRERERERG5UZr7d6hKRoiIyPdWVVXF+fPnmTt3LiNHjlQyWERERERERKSVU8kIERH53tavX0/37t0pLy9n4cKFLR2OiIiIiIiIiFyFEsIiImLHMAxyc3MBKCkpwTAMCgsLG+xrtVqprq7m8OHDdO3a9apzW61WHnzwwesXbDNYLBaef/75H3VNERERERERkdZKJSNERH4Aq9XK2rVrSUtLY+bMmbb23NxcYmNjacky7YMGDSI4OPgHJUO9vb0pKyvj1ltvvX6B/cgOHjxIu3btWjoMEZFWwTJze0uHcNMrSY9u6RBEREREfhDdEBYR+YGcnZ3JyMjgiy++aOlQrjuTyYSXlxdt2ty8//2wU6dOuLq6tnQYIiIiIiIiIq2CEsIiIj9QREQEXl5epKWlNXvMyZMnGTFiBJ6enpjNZvr168fOnTvt+lRVVTFjxgy8vb1xcnLCx8eHNWvW2J4fO3aM4cOHYzab8fT0JCEhgU8//RSou7mcn5/PsmXLMAwDwzA4deoUPj4+LFq0yG6dwsJCDMOguLi4XpzfLRnxxRdfMGbMGDp16oSLiwu+vr5kZ2fb+n/00UcMHjwYFxcXbrnlFn77299SWVnZ6DnU1NSQlpZGjx49cHFxISgoiL/85S+25zk5Obi7u9uNyc3NxTAMu7Zt27bRr18/nJ2dufXWW4mNjbU9+27JCMMwWL16NbGxsbi6uuLr68vWrVvt5mvqbEVERERERERuZkoIi4j8QCaTidTUVF544QXOnj3brDGVlZVERUWxa9cujhw5wrBhw4iJiaG0tNTWZ+zYsaxfv57MzEyKiopYuXIlZrMZgPLycgYPHkxISAiHDh0iLy+PTz75hPj4eACWLVtGWFgYSUlJlJWVUVZWRrdu3UhMTLRL4AJkZ2cTHh6Oj4/PVeOeNWsWH3/8MW+//TZFRUWsWLHCVk7i4sWLREZG0rFjRw4ePMj//M//sHPnTqZOndrofGlpabz88su89NJL/P3vf+eJJ57g0UcfJT8/v1nnCLB9+3ZiY2OJioriyJEj7Nq1i/79+zc5Zt68ecTHx/Phhx8SFRXFmDFj+Pzzz4Grn21jqqqqqKiosHuJiIiIiIiItDY37/8HWESkFYmNjSU4OJg5c+bY3eJtTFBQEEFBQbbPCxYsYMuWLWzdupWpU6dy4sQJNm7cyI4dO4iIiACgZ8+etv7Lly8nJCSE1NRUW1tWVhbe3t6cOHECPz8/HB0dcXV1xcvLy9bHarUye/ZsDhw4QP/+/bl8+TLr1q2rd2u4MaWlpYSEhNC3b1+g7vbtFevWrePrr7/m5ZdfttXsXb58OTExMWRkZODp6Wk3V1VVFampqezcuZOwsDDbHt955x1WrlzJwIEDmxXTc889x29+8xvmzZtna/v22TbEarUyevRoAFJTU8nMzOTAgQMMGzasWWfbkLS0NLsYRERERERERFoj3RAWEblOMjIyWLt2LUVFRXbtZrPZ9nrssceAuhvCycnJBAQE4O7ujtlspqioyHZDuLCwEJPJ1GhS9OjRo+zevdtubn9/f6CuHEVjunTpQnR0NFlZWUBdqYWqqipGjhzZrD3+7ne/Y8OGDQQHBzN9+nTeffdd27OioiKCgoLsvsDt3nvvpaamhuPHj9ebq7i4mK+++or777/fbh8vv/xyk3v4rsLCQoYMGdLs/gB9+vSxvW/Xrh0dOnTg3LlzwPc/25SUFC5cuGB7nTlz5ppiEhEREREREfkx6IawiMh1Eh4eTmRkJCkpKVitVlv7lfq7AB06dAAgOTmZHTt2sGjRInx8fHBxcSEuLo5Lly4B4OLi0uRalZWVtpu339W5c+cmx06cOJGEhASWLl1KdnY2o0aNavaXrg0fPpzTp0/z1ltvsWPHDoYMGcKUKVOafcP4u3uAupIPXbt2tXvm5OQEgIODA7W1tXbPLl++bPf5amfVkLZt29p9NgyDmpoaW1zf52ydnJxscYuIiIiIiIi0VkoIi4hcR+np6QQHB9OrVy9bW0O1eQsKCrBarbYvP6usrKSkpMT2PDAwkJqaGvLz820lI74tNDSUTZs2YbFYaNOm4V/ljo6OVFdX12uPioqiXbt2rFixgry8PPbu3XtNe+zUqRPjxo1j3Lhx/OpXv+Kpp55i0aJFBAQEkJOTw8WLF223hAsKCnBwcLA7jyt69+6Nk5MTpaWljd6E7tSpE19++aXdnN9OsEPdbd9du3Yxfvz4a9pHY5pztiIiN6uS9OiWDkFEREREWphKRoiIXEeBgYGMGTOGzMzMJvv5+vqyefNmCgsLOXr0KI888ojthirU1eYdN24ciYmJ5ObmcurUKfbs2cPGjRsBmDJlCp9//jmjR4/m4MGDnDx5kr/+9a+MHz/elgS2WCzs37+fkpISPv30U9v8JpMJq9VKSkoKvr6+tvq9zTF79mzeeOMNiouL+fvf/86bb75JQEAAAGPGjMHZ2Zlx48Zx7Ngxdu/ezX/913+RkJBQr34wQPv27UlOTuaJJ55g7dq1nDx5kg8++IAXXniBtWvXAnD33Xfj6urKf//3f3Py5EnWrVtHTk6O3Txz5sxh/fr1zJkzh6KiIj766KMGb/c2V3POVkRERERERORmpYSwiMh1Nn/+fLvkbkOWLFlCx44dGTBgADExMURGRhIaGmrXZ8WKFcTFxTF58mT8/f1JSkri4sWLQF0t4IKCAqqrqxk6dCiBgYFMmzYNd3d3HBzqfrUnJydjMpno3bs3nTp1stUnBpgwYQKXLl265lu1jo6OpKSk0KdPH8LDwzGZTGzYsAEAV1dX/vrXv/L555/Tr18/4uLiGDJkCMuXL290vgULFjBr1izS0tIICAhg2LBhbN++nR49egDg4eHBq6++yltvvUVgYCDr169n7ty5dnMMGjSI//mf/2Hr1q0EBwczePBgDhw4cE37+rbmnK2IiIiIiIjIzcqo/W5xRhER+cnbt28fQ4YM4cyZMw3e3pUfrqKiAjc3Ny5cuGCrHS0iIiIiIiJyozT371AVRxQR+Rmpqqri/PnzzJ07l5EjRyoZLCIiIiIiIvIzo//vq4jIz8j69evp3r075eXlLFy48AfPZxgGubm5AJSUlGAYRr0vffu2nJwc3N3df9CaFouF559//rrGJSIiIiIiIvJzoYSwiMiPxGq1YhgG6enpdu25ubkYhvGjxVBdXc3hw4fp2rWrrX3QoEFMmzbthq8/atQoTpw40ay+jSWPDx48yG9/+9tmr+nt7U1ZWRl33nlns8eIiIiIiIiI/FSpZISIyI/I2dmZjIwMJk2aRMeOHVs6nB+di4sLLi4uP2iOTp06XVN/k8mEl5fXD1pTROSnwjJze0uHIA0oSY9u6RBERETkZ0Q3hEVEfkQRERF4eXmRlpbW7DEnT55kxIgReHp6Yjab6devHzt37rTrU1VVxYwZM/D29sbJyQkfHx/WrFlje37s2DGGDx+O2WzG09OThIQEPv30U6Du1nB+fj7Lli3DMAwMw+DUqVP4+PiwaNEiu3UKCwsxDIPi4uJG4/3nP//Jfffdh6urK0FBQbz33nu2Z9+99Xv06FHuu+8+2rdvT4cOHbjrrrs4dOgQe/bsYfz48Vy4cMEW09y5c4H6JSP+8Y9/EB4ejrOzM71792bHjh128Xy3ZMSePXswDINdu3bRt29fXF1dGTBgAMePH7cb98YbbxAaGoqzszM9e/Zk3rx5fPPNN43uW0RERERERORmoISwiMiPyGQykZqaygsvvMDZs2ebNaayspKoqCh27drFkSNHGDZsGDExMZSWltr6jB07lvXr15OZmUlRURErV67EbDYDUF5ezuDBgwkJCeHQoUPk5eXxySefEB8fD8CyZcsICwsjKSmJsrIyysrK6NatG4mJiWRnZ9vFkp2dTXh4OD4+Po3G+/TTT5OcnExhYSF+fn6MHj260UTqmDFjuP322zl48CCHDx9m5syZtG3blgEDBvD888/ToUMHW0zJycn1xtfU1PDQQw/h6OjI/v37eemll5gxY0azzvXpp59m8eLFHDp0iDZt2pCYmGh7tm/fPsaOHcvvf/97Pv74Y1auXElOTg7PPfdcs+YWERERERERaa1UMkJE5EcWGxtLcHAwc+bMsbvF25igoCCCgoJsnxcsWMCWLVvYunUrU6dO5cSJE2zcuJEdO3YQEREBQM+ePW39ly9fTkhICKmpqba2rKwsvL29OXHiBH5+fjg6OuLq6mpXWsFqtTJ79mwOHDhA//79uXz5MuvWrat3a/i7kpOTiY6u+7++zps3jzvuuIPi4mL8/f3r9S0tLeWpp56yPfP19bU9c3NzwzCMJss97Ny5k//93//lr3/9K126dAEgNTWV4cOHNxkjwHPPPcfAgQMBmDlzJtHR0Xz99dc4Ozszb948Zs6cybhx44C681ywYAHTp09nzpw5Dc5XVVVFVVWV7XNFRcVVYxARERERERH5semGsIhIC8jIyGDt2rUUFRXZtZvNZtvrscceA+puCCcnJxMQEIC7uztms5mioiLbDeHCwkJMJpMtufldR48eZffu3XZzX0nAnjx5stEYu3TpQnR0NFlZWQBs27aNqqoqRo4c2eTe+vTpY3vfuXNnAM6dO9dg3yeffJKJEycSERFBenp6k/E0pKioCG9vb1syGCAsLKxZY5uK8+jRo8yfP9/uzK7coP7qq68anC8tLQ03Nzfby9vb+5r2IiIiIiIiIvJj0A1hEZEWEB4eTmRkJCkpKVitVlv7lTq3AB06dADqbtzu2LGDRYsW4ePjg4uLC3FxcVy6dAngql/SVllZSUxMDBkZGfWeXUmENmbixIkkJCSwdOlSsrOzGTVqFK6urk2Oadu2re29YRhAXWmHhsydO5dHHnmE7du38/bbbzNnzhw2bNhAbGxsk2tcD03FWVlZybx583jooYfqjXN2dm5wvpSUFJ588knb54qKCiWFRUREREREpNVRQlhEpIWkp6cTHBxMr169bG0N1eYtKCjAarXakqSVlZWUlJTYngcGBlJTU0N+fr6tZMS3hYaGsmnTJiwWC23aNPxr39HRkerq6nrtUVFRtGvXjhUrVpCXl8fevXuvdZtX5efnh5+fH0888QSjR48mOzub2NjYRmP6toCAAM6cOUNZWZktuf3+++//4JhCQ0M5fvx4k7WSv8vJyQknJ6cfvLaIiIiIiIjIjaSEsIhICwkMDGTMmDFkZmY22c/X15fNmzcTExODYRjMmjXL7satxWJh3LhxJCYmkpmZSVBQEKdPn+bcuXPEx8czZcoUVq1axejRo5k+fToeHh4UFxezYcMGVq9ejclkwmKxsH//fkpKSjCbzXh4eODg4IDJZMJqtZKSkoKvr2+zyzE0x3/+8x+eeuop4uLi6NGjB2fPnuXgwYM8/PDDtn1VVlaya9cugoKCcHV1rXc7OSIiAj8/P8aNG8cf//hHKioqePrpp39wbLNnz+aBBx6gW7duxMXF4eDgwNGjRzl27BjPPvvsD55fRKSllKRHt3QIIiIiItLCVENYRKQFzZ8/v9FyClcsWbKEjh07MmDAAGJiYoiMjCQ0NNSuz4oVK4iLi2Py5Mn4+/uTlJTExYsXgbpawAUFBVRXVzN06FACAwOZNm0a7u7uODjU/TOQnJyMyWSid+/edOrUyVafGGDChAlcunSJ8ePHX9e9m0wmPvvsM8aOHYufnx/x8fEMHz6cefPmATBgwAAee+wxRo0aRadOnVi4cGG9ORwcHNiyZQv/+c9/6N+/PxMnTuS55577wbFFRkby5ptv8re//Y1+/fpxzz33sHTpUrp37/6D5xYRERERERFpSUZtbW1tSwchIiKt1759+xgyZAhnzpzB09OzpcO5aVRUVODm5saFCxds9aBFREREREREbpTm/h2qkhEiItKgqqoqzp8/z9y5cxk5cqSSwSIiIiIiIiI/ASoZISIiDVq/fj3du3envLy8wXINIiIiIiIiInLzUUJYREQaZLVaqa6u5vDhw3Tt2vV7z2MYBrm5uc3uv2fPHgzDoLy8/Huv+W1z584lODj4uswlIiIiIiIicrNTQlhEpBWxWq0YhkF6erpde25uLoZhtFBUdQYNGsS0adNaNIbvIzk5mV27drV0GCIiIiIiIiKtgmoIi4i0Ms7OzmRkZDBp0iQ6duzY0uHc9MxmM2azuaXDEBFpFSwzt7d0CCIAlKRHt3QIIiIiP1u6ISwi0spERETg5eVFWlpas8ecPHmSESNG4Onpidlspl+/fuzcudOuT1VVFTNmzMDb2xsnJyd8fHxYs2aN7fmxY8cYPnw4ZrMZT09PEhIS+PTTT4G6m8v5+fksW7YMwzAwDINTp07h4+PDokWL7NYpLCzEMAyKi4sbjPXdd98lODgYZ2dn+vbta7v9XFhYWK/vxYsX6dChA3/5y1/s2nNzc2nXrh1ffvklAGfPnmX06NF4eHjQrl07+vbty/79+4H6JSOsVisPPvggixYtonPnztxyyy1MmTKFy5cv251VcnIyXbt2pV27dtx9993s2bOn6R+CiIiIiIiIyE1ACWERkVbGZDKRmprKCy+8wNmzZ5s1prKykqioKHbt2sWRI0cYNmwYMTExlJaW2vqMHTuW9evXk5mZSVFREStXrrTdnC0vL2fw4MGEhIRw6NAh8vLy+OSTT4iPjwdg2bJlhIWFkZSURFlZGWVlZXTr1o3ExESys7PtYsnOziY8PBwfH596cVZUVBATE0NgYCAffPABCxYsYMaMGY3uq127dvzmN79pcI24uDjat29PZWUlAwcO5F//+hdbt27l6NGjTJ8+nZqamkbn3b17NydPnmT37t2sXbuWnJwccnJybM+nTp3Ke++9x4YNG/jwww8ZOXIkw4YN4x//+EfjPwQRERERERGRm4BKRoiItEKxsbEEBwczZ84cu1u8jQkKCiIoKMj2ecGCBWzZsoWtW7cydepUTpw4wcaNG9mxYwcREREA9OzZ09Z/+fLlhISEkJqaamvLysrC29ubEydO4Ofnh6OjI66urnh5edn6WK1WZs+ezYEDB+jfvz+XL19m3bp19W4NX7Fu3ToMw2DVqlU4OzvTu3dv/vWvf5GUlNTo3iZOnMiAAQMoKyujc+fOnDt3jrfeest2A3rdunWcP3+egwcP4uHhAdBgMvrbOnbsyPLlyzGZTPj7+xMdHc2uXbtISkqitLSU7OxsSktL6dKlC1BXhzgvL4/s7Gy7M/q2qqoqqqqqbJ8rKiqajEFERERERESkJeiGsIhIK5WRkcHatWspKiqya79SE9dsNvPYY48BdTeEk5OTCQgIwN3dHbPZTFFRke2GcGFhISaTiYEDBza41tGjR9m9e7fd3P7+/kBdOYrGdOnShejoaLKysgDYtm0bVVVVjBw5ssH+x48fp0+fPjg7O9va+vfv3+Q59O/fnzvuuIO1a9cC8Oqrr9K9e3fCw8NtewsJCbElg5vjjjvuwGQy2T5fSTQDfPTRR1RXV+Pn52d3Hvn5+U2eRVpaGm5ubraXt7d3s+MRERERERER+bHohrCISCsVHh5OZGQkKSkpWK1WW/u3a+126NABqLvBumPHDhYtWoSPjw8uLi7ExcVx6dIlAFxcXJpcq7KykpiYGDIyMuo969y5c5NjJ06cSEJCAkuXLiU7O5tRo0bh6urazF02z8SJE/nTn/7EzJkzyc7OZvz48RiGAVx9bw1p27at3WfDMGwlJiorKzGZTBw+fNguaQw0+eV0KSkpPPnkk7bPFRUVSgqLiIiIiIhIq6OEsIhIK5aenk5wcDC9evWytTVUDqGgoACr1UpsbCxQl9QsKSmxPQ8MDKSmpob8/HxbyYhvCw0NZdOmTVgsFtq0afifBkdHR6qrq+u1R0VF0a5dO1asWEFeXh579+5tdD+9evXi1VdfpaqqCicnJwAOHjzYaP8rHn30UaZPn05mZiYff/wx48aNsz3r06cPq1ev5vPPP7+mW8KNCQkJobq6mnPnzvGrX/2q2eOcnJxsexIRERERERFprZQQFhFpxQIDAxkzZgyZmZlN9vP19WXz5s3ExMRgGAazZs2y+1I1i8XCuHHjSExMJDMzk6CgIE6fPs25c+eIj49nypQprFq1itGjRzN9+nQ8PDwoLi5mw4YNrF69GpPJhMViYf/+/ZSUlGA2m/Hw8MDBwQGTyYTVaiUlJQVfX1/CwsIajfORRx7h6aef5re//S0zZ86ktLTUVm/4yo3fhnTs2JGHHnqIp556iqFDh3L77bfbno0ePZrU1FQefPBB0tLS6Ny5M0eOHKFLly5NxtIYPz8/xowZw9ixY1m8eDEhISGcP3+eXbt20adPH6Kjo695ThGR1qIkXb/DRERERH7uVENYRKSVmz9/vl1ytyFLliyhY8eODBgwgJiYGCIjIwkNDbXrs2LFCuLi4pg8eTL+/v4kJSVx8eJFoK4WcEFBAdXV1QwdOpTAwECmTZuGu7s7Dg51/1QkJydjMpno3bs3nTp1stUnBpgwYQKXLl1i/PjxTcbZoUMHtm3bRmFhIcHBwTz99NPMnj0bwK6ucEOurJGYmGjX7ujoyN/+9jduu+02oqKiCAwMJD09vV65h2uRnZ3N2LFj+cMf/kCvXr148MEHOXjwIN26dfvec4qIiIiIiIi0BkZtbW1tSwchIiI3t3379jFkyBDOnDmDp6fnNY197bXXGD9+PBcuXGiyHvArr7zCE088wf/93//h6Oj4Q0O+4SoqKnBzc+PChQu2Ws8iIiIiIiIiN0pz/w5VyQgREfneqqqqOH/+PHPnzmXkyJHNSga//PLL9OzZk65du3L06FFmzJhBfHx8o8ngr776irKyMtLT05k0adJNkQwWERERERERaa1UMkJERL639evX0717d8rLy1m4cGGzxvz73//m0UcfJSAggCeeeIKRI0fy5z//udH+CxcuxN/fHy8vL1JSUq5X6CIiIiIiIiI/SyoZISIiNoZhsGXLFh588MFm9d+zZw/33XcfX3zxBe7u7jc0tu/rWvd0vahkhIiIiIiIiPyYmvt3qG4Ii4h8T1arFcMwSE9Pt2vPzc3FMIwWiqrOoEGDmDZtWovG0Bir1fqjJmfLysoYPnz4j7aeiIiIiIiISGumGsIiIj+As7MzGRkZTJo0iY4dO7Z0ONIALy+vlg5BRKTVsMzc3tIhyHeUpEe3dAgiIiLyM6MbwiIiP0BERAReXl6kpaU1e8zJkycZMWIEnp6emM1m+vXrx86dO+36VFVVMWPGDLy9vXFycsLHx4c1a9bYnh87dozhw4djNpvx9PQkISGBTz/9FKi7gZufn8+yZcswDAPDMDh16hQ+Pj4sWrTIbp3CwkIMw6C4uLjBWN99912Cg4Nxdnamb9++ttvPhYWFDfafO3cuwcHBdm3PP/88FovF9nzt2rW88cYbttj27NkDwIwZM/Dz88PV1ZWePXsya9YsLl++XG/urKwsunXrhtlsZvLkyVRXV7Nw4UK8vLy47bbbeO655+zWNwyD3NxcAEpKSjAMg82bN3Pffffh6upKUFAQ7733nt2Yd955h1/96le4uLjg7e3N448/zsWLFxvcs4iIiIiIiMjNRAlhEZEfwGQykZqaygsvvMDZs2ebNaayspKoqCh27drFkSNHGDZsGDExMZSWltr6jB07lvXr15OZmUlRURErV67EbDYDUF5ezuDBgwkJCeHQoUPk5eXxySefEB8fD8CyZcsICwsjKSmJsrIyysrK6NatG4mJiWRnZ9vFkp2dTXh4OD4+PvXirKioICYmhsDAQD744AMWLFjAjBkzvu9RAZCcnEx8fDzDhg2zxTZgwAAA2rdvT05ODh9//DHLli1j1apVLF261G78yZMnefvtt8nLy2P9+vWsWbOG6Ohozp49S35+PhkZGTzzzDPs37+/yTiefvppkpOTKSwsxM/Pj9GjR/PNN9/Y1hg2bBgPP/wwH374Ia+//jrvvPMOU6dO/UF7FxEREREREWkNVDJCROQHio2NJTg4mDlz5tjd4m1MUFAQQUFBts8LFixgy5YtbN26lalTp3LixAk2btzIjh07iIiIAKBnz562/suXLyckJITU1FRbW1ZWFt7e3pw4cQI/Pz8cHR1xdXW1K5dgtVqZPXs2Bw4coH///ly+fJl169bVuzV8xbp16zAMg1WrVuHs7Ezv3r3517/+RVJS0jWf0RVmsxkXFxeqqqrqlXJ45plnbO8tFgvJycls2LCB6dOn29pramrIysqiffv29O7dm/vuu4/jx4/z1ltv4eDgQK9evcjIyGD37t3cfffdjcaRnJxMdHTd/0V33rx53HHHHRQXF+Pv709aWhpjxoyx1WD29fUlMzOTgQMHsmLFCpydnRucs6qqiqqqKtvnioqKaz4fERERERERkRtNN4RFRK6DjIwM1q5dS1FRkV272Wy2vR577DGg7oZwcnIyAQEBuLu7YzabKSoqst0QLiwsxGQyMXDgwAbXOnr0KLt377ab29/fH6i73dqYLl26EB0dTVZWFgDbtm2jqqqKkSNHNtj/+PHj9OnTxy4B2r9//2aeyLV7/fXXuffee/Hy8sJsNvPMM8/Y3ZqGukRx+/btbZ89PT3p3bs3Dg4Odm3nzp1rcq0+ffrY3nfu3BnANubo0aPk5OTYnW9kZCQ1NTWcOnWq0TnT0tJwc3Ozvby9vZu/eREREREREZEfiW4Ii4hcB+Hh4URGRpKSkoLVarW1f7vWbocOHYC626k7duxg0aJF+Pj44OLiQlxcHJcuXQLAxcWlybUqKyuJiYkhIyOj3rMryc3GTJw4kYSEBJYuXUp2djajRo3C1dW1mbu8OgcHB2pra+3avl0HuDHvvfceY8aMYd68eURGRuLm5saGDRtYvHixXb+2bdvafTYMo8G2mpqaJtf79hjDMABsYyorK5k0aRKPP/54vXHdunVrdM6UlBSefPJJ2+eKigolhUVERERERKTVUUJYROQ6SU9PJzg4mF69etnaGqrNW1BQgNVqJTY2FqhLQJaUlNieBwYGUlNTQ35+vq1kxLeFhoayadMmLBYLbdo0/Gvc0dGR6urqeu1RUVG0a9eOFStWkJeXx969exvdT69evXj11VepqqrCyckJgIMHDzbaH6BTp078+9//pra21pZo/e4X0DUU27vvvkv37t15+umnbW2nT59ucq0bJTQ0lI8//rjBn11TnJycbOckIiIiIiIi0lopISwicp0EBgYyZswYMjMzm+zn6+vL5s2biYmJwTAMZs2aZXej1WKxMG7cOBITE8nMzCQoKIjTp09z7tw54uPjmTJlCqtWrWL06NFMnz4dDw8PiouL2bBhA6tXr8ZkMmGxWNi/fz8lJSWYzWY8PDxwcHDAZDJhtVpJSUnB19eXsLCwRuN85JFHePrpp/ntb3/LzJkzKS0ttdUbvpLs/a5BgwZx/vx5Fi5cSFxcHHl5ebz99tu229FX9vfXv/6V48ePc8stt+Dm5oavry+lpaVs2LCBfv36sX37drZs2XItx3/dzJgxg3vuuYepU6cyceJE2rVrx8cff8yOHTtYvnx5i8QkInK9lKRHt3QIIiIiItLCVENYROQ6mj9//lXLFSxZsoSOHTsyYMAAYmJiiIyMJDQ01K7PihUriIuLY/Lkyfj7+5OUlMTFixeBulrABQUFVFdXM3ToUAIDA5k2bRru7u62WrrJycmYTCZ69+5Np06d7GrxTpgwgUuXLjF+/Pgm4+zQoQPbtm2jsLCQ4OBgnn76aWbPng3Q6BerBQQE8OKLL/KnP/2JoKAgDhw4QHJysl2fpKQkevXqRd++fenUqRMFBQX8+te/5oknnmDq1KkEBwfz7rvvMmvWrCbju1H69OlDfn4+J06c4Fe/+hUhISHMnj2bLl26tEg8IiIiIiIiIteTUfvdYo8iIvKTtm/fPoYMGcKZM2fw9PS8prGvvfYa48eP58KFC1etdfxzV1FRgZubGxcuXLC7IS0iIiIiIiJyIzT371CVjBAR+Zmoqqri/PnzzJ07l5EjRzYrGfzyyy/Ts2dPunbtytGjR5kxYwbx8fFKBouIiIiIiIjcpFQyQkTkZ2L9+vV0796d8vJyFi5c2Kwx//73v3n00UcJCAjgiSeeYOTIkfz5z3++wZGKiIiIiIiIyI2ikhEiIgLUfVHcli1bePDBB5vVf8+ePdx333188cUXuLu739DYbkYqGSEiIiIiIiI/pub+HaobwiIi34PVasUwDNLT0+3ac3NzMQyjhaKqM2jQIKZNm9aiMTTGarU2O+H8Y8jJyVEyW0RERERERH5WVENYROR7cnZ2JiMjg0mTJtGxY8eWDkdEROSqLDO3t3QIIj+akvTolg5BRESkVdINYRGR7ykiIgIvLy/S0tKaPebkyZOMGDECT09PzGYz/fr1Y+fOnXZ9qqqqmDFjBt7e3jg5OeHj48OaNWtsz48dO8bw4cMxm814enqSkJDAp59+CtTdwM3Pz2fZsmUYhoFhGJw6dQofHx8WLVpkt05hYSGGYVBcXNxgrO+++y7BwcE4OzvTt29f2+3nwsLCBvvPnTuX4OBgu7bnn38ei8Vie7527VreeOMNW2x79uwBYMaMGfj5+eHq6krPnj2ZNWsWly9frjd3VlYW3bp1w2w2M3nyZKqrq1m4cCFeXl7cdtttPPfcc3brL1myhMDAQNq1a4e3tzeTJ0+msrISqCt5MX78eC5cuGCLZ+7cubafQXJyMl27dqVdu3bcfffdtlhFREREREREbmZKCIuIfE8mk4nU1FReeOEFzp4926wxlZWVREVFsWvXLo4cOcKwYcOIiYmhtLTU1mfs2LGsX7+ezMxMioqKWLlyJWazGYDy8nIGDx5MSEgIhw4dIi8vj08++YT4+HgAli1bRlhYGElJSZSVlVFWVka3bt1ITEwkOzvbLpbs7GzCw8Px8fGpF2dFRQUxMTEEBgbywQcfsGDBAmbMmPF9jwqA5ORk4uPjGTZsmC22AQMGANC+fXtycnL4+OOPWbZsGatWrWLp0qV240+ePMnbb79NXl4e69evZ82aNURHR3P27Fny8/PJyMjgmWeeYf/+/bYxDg4OZGZm8ve//521a9fy//1//x/Tp08HYMCAATz//PN06NDBFk9ycjIAU6dO5b333mPDhg18+OGHjBw5kmHDhvGPf/yj0f1VVVVRUVFh9xIRERERERFpbVQyQkTkB4iNjSU4OJg5c+bY3eJtTFBQEEFBQbbPCxYsYMuWLWzdupWpU6dy4sQJNm7cyI4dO4iIiACgZ8+etv7Lly8nJCSE1NRUW1tWVhbe3t6cOHECPz8/HB0dcXV1xcvLy9bHarUye/ZsDhw4QP/+/bl8+TLr1q2rd2v4inXr1mEYBqtWrcLZ2ZnevXvzr3/9i6SkpGs+oyvMZjMuLi5UVVXZxQbwzDPP2N5bLBaSk5PZsGGDLXkLUFNTQ1ZWFu3bt6d3797cd999HD9+nLfeegsHBwd69epFRkYGu3fv5u677wawq6VssVh49tlneeyxx3jxxRdxdHTEzc0NwzDs4iktLSU7O5vS0lK6dOkC1CWz8/LyyM7Otjv7b0tLS2PevHnf+3xEREREREREfgxKCIuI/EAZGRkMHjzYdrv0iiu3egEeffRRXnrpJSorK5k7dy7bt2+nrKyMb775hv/85z+2G8KFhYWYTCYGDhzY4FpHjx5l9+7ddnNfcfLkSfz8/Boc16VLF6Kjo8nKyqJ///5s27aNqqoqRo4c2WD/48eP06dPH5ydnW1t/fv3b/ogfoDXX3+dzMxMTp48SWVlJd988029b0S1WCy0b9/e9tnT0xOTyYSDg4Nd27lz52yfd+7cSVpaGv/7v/9LRUUF33zzDV9//TVfffUVrq6uDcby0UcfUV1dXe8sq6qquOWWWxrdQ0pKCk8++aTtc0VFBd7e3s07ABEREREREZEfiRLCIiI/UHh4OJGRkaSkpGC1Wm3t3661eyW5mZyczI4dO1i0aBE+Pj64uLgQFxfHpUuXAHBxcWlyrcrKSmJiYsjIyKj3rHPnzk2OnThxIgkJCSxdupTs7GxGjRrVaFL0+3BwcKC2ttau7dt1gBvz3nvvMWbMGObNm0dkZCRubm5s2LCBxYsX2/Vr27at3WfDMBpsq6mpAaCkpIQHHniA3/3udzz33HN4eHjwzjvvMGHCBC5dutTo3isrKzGZTBw+fBiTyWT3rKFE/BVOTk44OTlddb8iIiIiIiIiLUkJYRGR6yA9PZ3g4GB69epla2uoNm9BQQFWq5XY2FigLvlYUlJiex4YGEhNTQ35+fm2khHfFhoayqZNm7BYLLRp0/CvcEdHR6qrq+u1R0VF0a5dO1asWEFeXh579+5tdD+9evXi1VdfpaqqypbkPHjwYKP9ATp16sS///1vamtrMQwDoN4X0DUU27vvvkv37t15+umnbW2nT59ucq3mOHz4MDU1NSxevNh2i3jjxo1XjSckJITq6mrOnTvHr371qx8ch4iIiIiIiEhrooSwiMh1EBgYyJgxY8jMzGyyn6+vL5s3byYmJgbDMJg1a5btRivUlUUYN24ciYmJZGZmEhQUxOnTpzl37hzx8fFMmTKFVatWMXr0aKZPn46HhwfFxcVs2LCB1atXYzKZsFgs7N+/n5KSEsxmMx4eHjg4OGAymbBaraSkpODr60tYWFijcT7yyCM8/fTT/Pa3v2XmzJmUlpba6g1fSfZ+16BBgzh//jwLFy4kLi6OvLw83n77bbvSDxaLhb/+9a8cP36cW265BTc3N3x9fSktLWXDhg3069eP7du3s2XLlms5/gb5+Phw+fJlXnjhBWJiYigoKOCll16y62OxWKisrGTXrl0EBQXh6uqKn58fY8aMYezYsSxevJiQkBDOnz/Prl276NOnD9HR0T84NhGRllKSrt9hIiIiIj93DlfvIiIizTF//ny75G5DlixZQseOHRkwYAAxMTFERkYSGhpq12fFihXExcUxefJk/P39SUpK4uLFi0BdLeCCggKqq6sZOnQogYGBTJs2DXd3d9st2OTkZEwmE71796ZTp062+sSArVzC+PHjm4yzQ4cObNu2jcLCQoKDg3n66aeZPXs2gF1d4W8LCAjgxRdf5E9/+hNBQUEcOHCgXl3lpKQkevXqRd++fenUqRMFBQX8+te/5oknnmDq1KkEBwfz7rvvMmvWrCbja46goCCWLFlCRkYGd955J6+99hppaWl2fQYMGMBjjz3GqFGj6NSpEwsXLgQgOzubsWPH8oc//IFevXrx4IMPcvDgQbp16/aD4xIRERERERFpSUbtdws+iojIT9a+ffsYMmQIZ86cwdPT85rGvvbaa4wfP54LFy5ctdax1H2pnJubGxcuXKj3BXkiIiIiIiIi11tz/w5VyQgRkZ+Bqqoqzp8/z9y5cxk5cmSzksEvv/wyPXv2pGvXrhw9epQZM2YQHx+vZLCIiIiIiIjITUwlI0REfgbWr19P9+7dKS8vt5VFuJp///vfPProowQEBPDEE08wcuRI/vznP9/gSEVERERERETkRlLJCBGRH4lhGGzZsoUHH3ywpUO5KVy6dInevXvz8ssvM2DAgBaLIy8vj5kzZ/LBBx/Y6jQ3h0pGiIiIiIiIyI+puX+H6oawiLQ6VqsVwzBIT0+3a8/NzcUwjBaK6v8ZNGgQ06ZNa+kwbpiSkhIMw6CwsPCaxxqGQW5u7nWJ46WXXqJHjx52yWDDMHB2dub06dN2fR988EGsVmu9Od577z1MJhPR0dFNrrV+/XpMJhNTpkyp92zYsGG0bduW11577fttRERERERERKQVUQ1hEWmVnJ2dycjIYNKkSXTs2LGlw/nZuHTpUkuHAEBtbS3Lly9n/vz59Z4ZhsHs2bNZu3btVedZs2YN//Vf/8WaNWv4v//7P7p06dJov+nTp7Ny5UoWL16Ms7Oz3XOr1UpmZiYJCQnfb0MiIq2EZeb2q/YpSW/6P6KJiIiIyM1NN4RFpFWKiIjAy8uLtLS0axp38uRJRowYgaenJ2azmX79+rFz5067PlVVVcyYMQNvb2+cnJzw8fFhzZo1tufHjh1j+PDhmM1mPD09SUhI4NNPPwXqEoP5+fksW7YMwzAwDINTp07h4+PDokWL7NYpLCzEMAyKi4sbjHXGjBn4+fnh6upKz549mTVrFpcvX7Y9P3r0KPfddx/t27enQ4cO3HXXXRw6dAiAnJwc3N3dyc3NxdfXF2dnZyIjIzlz5sw1nYXFYmHBggWMHTuWDh068Nvf/pYePXoAEBISgmEYDBo0CICDBw9y//33c+utt+Lm5sbAgQP54IMP7OYCiI2NxTAM22eAN954g9DQUJydnenZsyfz5s3jm2++afTnePjwYU6ePNngzd6pU6fy6quvcuzYsUbHA1RWVvL666/zu9/9jujoaHJychrsd+rUKd59911mzpyJn58fmzdvrtcnJiaGQ4cOcfLkySbXFBEREREREWntlBAWkVbJZDKRmprKCy+8wNmzZ5s9rrKykqioKHbt2sWRI0cYNmwYMTExlJaW2vqMHTuW9evXk5mZSVFREStXrsRsNgNQXl7O4MGDCQkJ4dChQ+Tl5fHJJ58QHx8PwLJlywgLCyMpKYmysjLKysro1q0biYmJZGdn28WSnZ1NeHg4Pj4+Dcbavn17cnJy+Pjjj1m2bBmrVq1i6dKltudjxozh9ttv5+DBgxw+fJiZM2fStm1b2/OvvvqK5557jpdffpmCggLKy8v5zW9+c01nAbBo0SKCgoI4cuQIs2bN4sCBAwDs3LmTsrIyW4L0yy+/ZNy4cbzzzju8//77+Pr6EhUVxZdffgnUJYyv7LusrMz2ed++fYwdO5bf//73fPzxx6xcuZKcnByee+65Rn+O+/btw8/Pj/bt29d7du+99/LAAw8wc+bMRscDbNy4EX9/f3r16sWjjz5KVlYWDZXNz87OJjo6Gjc3Nx599FG7/zhwRbdu3fD09GTfvn2NrldVVUVFRYXdS0RERERERKTVqRURaWXGjRtXO2LEiNra2trae+65pzYxMbG2tra2dsuWLbXf59fWHXfcUfvCCy/U1tbW1h4/frwWqN2xY0eDfRcsWFA7dOhQu7YzZ87UArXHjx+vra2trR04cGDt73//e7s+//rXv2pNJlPt/v37a2tra2svXbpUe+utt9bm5OTY+gC1W7ZsaTTOP/7xj7V33XWX7XP79u3txn9bdnZ2LVD7/vvv29qKiopqAVsMDfn2WdTW1tZ279699sEHH7Trc+rUqVqg9siRI43OU1tbW1tdXV3bvn372m3bttnaGtrjkCFDalNTU+3aXnnlldrOnTs3Ovfvf//72sGDB9drvzL/3//+91qTyVS7d+/e2tra2toRI0bUjhs3zq7vgAEDap9//vna2tra2suXL9feeuuttbt37663B29v79rc3Nza2tra2vPnz9c6OjrW/vOf/6y3dkhISO3cuXMbjXnOnDm1QL3XhQsXGh0jIvJj6z7jzau+REREROTmdOHChWb9HaobwiLSqmVkZLB27VqKiorqPTObzbbXY489BtTdik1OTiYgIAB3d3fMZjNFRUW2W7GFhYWYTCYGDhzY4HpHjx5l9+7ddnP7+/sDNFkuoEuXLkRHR5OVlQXAtm3bqKqqYuTIkY2Oef3117n33nvx8vLCbDbzzDPP2N3effLJJ5k4cSIRERGkp6fXW79Nmzb069fP9tnf3x93d3fbWV3tLK7o27dvozF+2yeffEJSUhK+vr64ubnRoUMHKisr6833XUePHmX+/Pl2Z3rlhvVXX33V4Jj//Oc/9er4flvv3r0ZO3Zso7eEjx8/zoEDBxg9ejRQd1ajRo2qd/t3x44dXLx4kaioKABuvfVW7r//ftvP8dtcXFwajRcgJSWFCxcu2F7fLt8hIiIiIiIi0lroS+VEpFULDw8nMjKSlJQUrFar3bPCwkLb+w4dOgCQnJzMjh07WLRoET4+Pri4uBAXF2f7sjQXF5cm16usrCQmJoaMjIx6zzp37tzk2IkTJ5KQkMDSpUvJzs5m1KhRuLq6Ntj3vffeY8yYMcybN4/IyEjc3NzYsGEDixcvtvWZO3cujzzyCNu3b+ftt99mzpw5bNiwgdjY2CbjuOJqZ3FFu3btmjXfuHHj+Oyzz1i2bBndu3fHycmJsLCwq34RXWVlJfPmzeOhhx6q96yxpO+tt97KRx991OS88+bNw8/Pj9zc3HrP1qxZwzfffGP3JXK1tbU4OTmxfPly3NzcbP0+//xzu/9d1NTU8OGHHzJv3jwcHP7ffzf9/PPP6dSpU6PxODk54eTk1GTMIiIiIiIiIi1NCWERafXS09MJDg6mV69edu0N1eYtKCjAarXakqaVlZWUlJTYngcGBlJTU0N+fj4RERH1xoeGhrJp0yYsFgtt2jT8K9LR0ZHq6up67VFRUbRr144VK1aQl5fH3r17G93Tu+++S/fu3Xn66adtbadPn67Xz8/PDz8/P5544glGjx5Ndna2bW/ffPMNhw4don///kDdrdjy8nICAgKadRaNcXR0BKi3x4KCAl588UXbbdozZ87YvmzvirZt29YbFxoayvHjxxutpdyQkJAQVqxYQW1tLYZhNNjH29ubqVOn8t///d/84he/sLV/8803vPzyyyxevJihQ4fajXnwwQdZv349jz32GJ999hlvvPEGGzZs4I477rD1qa6u5pe//CV/+9vfGDZsGABff/01J0+eJCQkpNl7EBEREREREWmNlBAWkVYvMDCQMWPGkJmZedW+vr6+bN68mZiYGAzDYNasWdTU1NieWywWxo0bR2JiIpmZmQQFBXH69GnOnTtHfHw8U6ZMYdWqVYwePZrp06fj4eFBcXExGzZsYPXq1ZhMJiwWC/v376ekpASz2YyHhwcODg6YTCasVispKSn4+voSFhbWZJylpaVs2LCBfv36sX37drZs2WJ7/p///IennnqKuLg4evTowdmzZzl48CAPP/ywrU/btm35r//6LzIzM2nTpg1Tp07lnnvusSWIr3YWjbnttttwcXEhLy+P22+/HWdnZ9zc3PD19eWVV16hb9++VFRU8NRTT9W7cW2xWNi1axf33nsvTk5OdOzYkdmzZ/PAAw/QrVs34uLicHBw4OjRoxw7doxnn322wRjuu+8+Kisr+fvf/86dd97ZaKwpKSmsWrWKU6dOMWrUKADefPNNvvjiCyZMmGC7CXzFww8/zJo1a3jsscd45ZVXuOWWW4iPj6+XdI6KimLNmjW2hPD7779vuxEtInIzK0mPbukQRERERKSFqYawiNwU5s+f36xk5pIlS+jYsSMDBgwgJiaGyMhIQkND7fqsWLGCuLg4Jk+ejL+/P0lJSVy8eBGoqwVcUFBAdXU1Q4cOJTAwkGnTpuHu7m4rH5CcnIzJZKJ379506tTJrobuhAkTuHTpEuPHj28yzl//+tc88cQTTJ06leDgYN59911mzZple24ymfjss88YO3Ysfn5+xMfHM3z4cObNm2fr4+rqyowZM3jkkUe49957MZvNvP7669d0Fg1p06YNmZmZrFy5ki5dujBixAigrrzCF198QWhoKAkJCTz++OPcdtttdmMXL17Mjh078Pb2tt2mjYyM5M033+Rvf/sb/fr145577mHp0qV079690RhuueUWYmNjee2115qM1cPDgxkzZvD111/b2tasWUNERES9ZDDUJYQPHTrEhx9+SFZWFrGxsQ3eQH744YfZunWr7Qb0+vXrGTNmTKMlQERERERERERuFkZtbW1tSwchIvJTsW/fPoYMGcKZM2fw9PS8Yevk5OQwbdo0ysvLb9gaLe3DDz/k/vvv//+xd/9xPd/7/8dvb9HPt374VbEUKuKUapgfQzNWxA6GMUv5tV9iTEPHRvlVOdowx4/5UTh+nGOzZpgNk23N8XOFcZgm2VlbbFNiQvn+4ev92Xsq2VDsfr1c3pdLr9fr+Xw8H8/XzoVLj/P0eJOZmYnRaKywPM6ePUvjxo3Zt28fDRo0KPe8/Px8HBwcyMvLM/W4FhEREREREblbyvt7qE4Ii4jcAYWFhXz77bfExMTQt2/fu1oM/rPw8/MjISGBkydPVmgeWVlZzJ8//7aKwSIiIiIiIiKVlXoIi4jcAWvWrGHo0KH4+/uzYsWKik7ngREREVHRKdCiRQtatGhR0WmIiIiIiIiI3BE6ISwicgdERERQVFTE/v37qVev3j1ZrzK1izAYDKSkpNz1dbKysjAYDKSnp5d7TkxMDP7+/nctJxEREREREZH7iQrCIiL3WEREBAaDgfj4eLP7KSkpJX7B2b0UFBTE6NGjKzSHsri5uZGTk8Nf/vKXcs+Jiopi+/btdzErERERERERkfuHWkaIiFQAa2trEhISeP7553FycqrodCrc5cuXsbS0vOU4CwsLXFxcbiu20Wis0C+lE3mQeEzYVNEpyB+UFR9a0SmIiIiISAXTCWERkQrQuXNnXFxciIuLK/eczMxM/vrXv+Ls7IzRaKRly5Zs27bNbExhYSHjx4/Hzc0NKysrPD09Wbp0qen54cOH6dq1K0ajEWdnZ8LCwjh79ixw/eTyzp07mTNnDgaDAYPBwMmTJ/H09GTWrFlm66Snp2MwGDhx4kSJuY4fPx5vb29sbW1p2LAhr7/+OleuXDE9v9HGYcmSJTRo0ABra2sA/vvf//Loo49ibW1N06ZN2bZtm1k7it+2jEhNTcVgMLB9+3ZatGiBra0tbdu25dixYzetdUNERAQ9e/Zk1qxZuLq6UrNmTUaMGGGWX2FhIVFRUdSrVw87OzseeeQRUlNTy/cfSkRERERERKQSU0FYRKQCWFhYMGPGDN566y2+/fbbcs0pKCigW7dubN++nS+//JKQkBB69OhBdna2acygQYNYs2YNc+fO5ejRoyxatMh0OvbcuXN06tSJgIAA9u3bx5YtW/jhhx/o168fAHPmzKFNmzYMHz6cnJwccnJyqF+/PkOGDCEpKcksl6SkJDp06ICnp2eJuVavXp3k5GSOHDnCnDlzWLx4MW+++abZmBMnTvDuu++yfv160tPTKSoqomfPntja2rJ7927efvttJk6cWK53M3HiRBITE9m3bx9Vq1ZlyJAhZY7fsWMHmZmZ7Nixg+XLl5OcnExycrLpeWRkJLt27WLt2rUcPHiQvn37EhISwtdff11qzMLCQvLz880+IiIiIiIiIpWNWkaIiFSQXr164e/vz+TJk81O8ZamefPmNG/e3HQ9depU3nvvPTZs2EBkZCTHjx/n3//+N1u3bqVz584ANGzY0DR+3rx5BAQEMGPGDNO9ZcuW4ebmxvHjx/H29sbS0hJbW1uztgwRERFMmjSJPXv20KpVK65cucLq1atvOjX8a6+99prpZw8PD6Kioli7di3jxo0z3b98+TIrVqygdu3aAGzZsoXMzExSU1NN60+fPp0uXbrc8t1Mnz6djh07AjBhwgRCQ0O5dOmS6eTxbzk5OTFv3jwsLCxo0qQJoaGhbN++neHDh5OdnU1SUhLZ2dnUrVsXuN6HeMuWLSQlJZm9v1+Li4sjNjb2lrmKiIiIiIiIVCSdEBYRqUAJCQksX76co0ePmt2/0ffWaDTywgsvANdPCEdFReHj44OjoyNGo5GjR4+aTginp6djYWFhKoz+VkZGBjt27DCL3aRJE+B6O4rS1K1bl9DQUJYtWwbABx98QGFhIX379i11zr/+9S/atWuHi4sLRqOR1157zewkM4C7u7upGAxw7Ngx3NzczIrRrVq1KnWNX/Pz8zP97OrqCkBubm6p45s1a4aFhYXZnBvjDx06RFFREd7e3mbvaufOnWW+p+joaPLy8kyf06dPlyt3ERERERERkXtJJ4RFRCpQhw4dCA4OJjo6moiICNP9Gz1yAezt7YHrp1S3bt3KrFmz8PT0xMbGhj59+nD58mUAbGxsylyroKCAHj16kJCQcNOzG0XU0gwbNoywsDDefPNNkpKSePrpp7G1tS1x7K5duxg4cCCxsbEEBwfj4ODA2rVrSUxMNBtnZ2dX5pq3o1q1aqafDQYDAMXFxeUaf2POjfEFBQVYWFiwf/9+s6IxUOaX01lZWWFlZXXbuYuIiIiIiIjcSyoIi4hUsPj4ePz9/WncuLHpXkm9edPS0oiIiKBXr17A9cJlVlaW6bmvry/FxcXs3LnT1DLi1wIDA3n33Xfx8PCgatWS//i3tLSkqKjopvvdunXDzs6OBQsWsGXLFj799NNS9/PFF1/g7u5u1v/31KlTpY6/oXHjxpw+fZoffvgBZ2dnAPbu3XvLeXdaQEAARUVF5Obm0r59+3u+voiIiIiIiMjdpIKwiEgF8/X1ZeDAgcydO7fMcV5eXqxfv54ePXpgMBh4/fXXzU7Benh4EB4ezpAhQ5g7dy7Nmzfn1KlT5Obm0q9fP0aMGMHixYsZMGAA48aNo0aNGpw4cYK1a9eyZMkSLCws8PDwYPfu3WRlZWE0GqlRowZVqlTBwsKCiIgIoqOj8fLyok2bNmXmmZ2dzdq1a2nZsiWbNm3ivffeu+V76NKlC40aNSI8PJyZM2dy/vx5Uy/iG6d+7wVvb28GDhzIoEGDSExMJCAggDNnzrB9+3b8/PwIDQ29Z7mIVDZZ8frfv4iIiIjI/U49hEVEKoEpU6aU2eIA4I033sDJyYm2bdvSo0cPgoODCQwMNBuzYMEC+vTpw0svvUSTJk0YPnw4Fy5cAK73Ak5LS6OoqIgnnngCX19fRo8ejaOjI1WqXP/rICoqCgsLC5o2bUrt2rXN+v4OHTqUy5cvM3jw4DLzfPLJJxkzZgyRkZH4+/vzxRdf8Prrr9/yHVhYWJCSkkJBQQEtW7Zk2LBhplPGpX053N2SlJTEoEGDGDt2LI0bN6Znz57s3buX+vXr39M8RERERERERO40w7Vr165VdBIiIlL5ffbZZzz++OOcPn3a1NLhbktLS+PRRx/lxIkTNGrU6J6seafk5+fj4OBAXl6eqQ+0iIiIiIiIyN1S3t9D1TJCRETKVFhYyJkzZ4iJiaFv3753tRj83nvvYTQa8fLy4sSJE7z88su0a9fuvisGi4iIiIiIiFRWahkhIiJlWrNmDe7u7pw7d46ZM2fe1bXOnz/PiBEjaNKkCREREbRs2ZL333//rq4pIiIiIiIi8meigrCIiJQpIiKCoqIi9u/fT7169W5rrsFgICUlpdzjv/nmG2xtbbl06RLffvstycnJ1KxZ8zYzNpeamorBYODcuXN/KI6IiIiIiIjIg0AFYRGRSiIiIgKDwUB8fLzZ/ZSUFAwGQwVldV1QUBCjR4+u0Bx+r7Zt25KTk4ODg0NFpyIiIiIiIiJS4dRDWESkErG2tiYhIYHnn38eJyenik7ngWBpaYmLi0tFpyEiUil4TNhU0SnIfSorPrSiUxAREZE7RCeERUQqkc6dO+Pi4kJcXFy552RmZvLXv/4VZ2dnjEYjLVu2ZNu2bWZjCgsLGT9+PG5ublhZWeHp6cnSpUtNzw8fPkzXrl0xGo04OzsTFhbG2bNngesnl3fu3MmcOXMwGAwYDAZOnjyJp6cns2bNMlsnPT0dg8HAiRMnSsx1/PjxeHt7Y2trS8OGDXn99de5cuVKqXvbu3cvXbp0oVatWjg4ONCxY0cOHDhgNsZgMLBkyRJ69eqFra0tXl5ebNiwwfT8ty0jkpOTcXR05KOPPsLHxwej0UhISAg5OTlmcZcsWYKPjw/W1tY0adKE+fPnl5qniIiIiIiIyP1CBWERkUrEwsKCGTNm8NZbb/Htt9+Wa05BQQHdunVj+/btfPnll4SEhNCjRw+ys7NNYwYNGsSaNWuYO3cuR48eZdGiRRiNRgDOnTtHp06dCAgIYN++fWzZsoUffviBfv36ATBnzhzatGnD8OHDycnJIScnh/r16zNkyBCSkpLMcklKSqJDhw54enqWmGv16tVJTk7myJEjzJkzh8WLF/Pmm2+Wurfz588THh7O559/zn/+8x+8vLzo1q0b58+fNxsXGxtLv379OHjwIN26dWPgwIH89NNPpca9ePEis2bNYuXKlXz66adkZ2cTFRVler5q1SomTZrE9OnTOXr0KDNmzOD1119n+fLlpcYsLCwkPz/f7CMiIiIiIiJS2ahlhIhIJdOrVy/8/f2ZPHmy2Sne0jRv3pzmzZubrqdOncp7773Hhg0biIyM5Pjx4/z73/9m69atdO7cGYCGDRuaxs+bN4+AgABmzJhhurds2TLc3Nw4fvw43t7eWFpaYmtra9Z6ISIigkmTJrFnzx5atWrFlStXWL169U2nhn/ttddeM/3s4eFBVFQUa9euZdy4cSWO79Spk9n122+/jaOjIzt37qR79+5muQwYMACAGTNmMHfuXPbs2UNISEiJca9cucLChQtp1KgRAJGRkUyZMsX0fPLkySQmJtK7d28AGjRowJEjR1i0aBHh4eElxoyLiyM2NrbUvYuIiIiIiIhUBjohLCJSCSUkJLB8+XKOHj1qdt9oNJo+L7zwAnD9hHBUVBQ+Pj44OjpiNBo5evSo6YRweno6FhYWdOzYscS1MjIy2LFjh1nsJk2aANfbUZSmbt26hIaGsmzZMgA++OADCgsL6du3b6lz/vWvf9GuXTtcXFwwGo289tprZieZf+uHH35g+PDheHl54eDggL29PQUFBTfN8fPzM/1sZ2eHvb09ubm5pca1tbU1FYMBXF1dTeMvXLhAZmYmQ4cONXsn06ZNK/N9REdHk5eXZ/qcPn261LEiIiIiIiIiFUUnhEVEKqEOHToQHBxMdHQ0ERERpvvp6emmn+3t7QGIiopi69atzJo1C09PT2xsbOjTpw+XL18GwMbGpsy1CgoK6NGjBwkJCTc9c3V1LXPusGHDCAsL48033yQpKYmnn34aW1vbEsfu2rWLgQMHEhsbS3BwMA4ODqxdu5bExMRS44eHh/Pjjz8yZ84c3N3dsbKyok2bNqa93VCtWjWza4PBQHFxcalxSxp/7do14Pr7AFi8eDGPPPKI2TgLC4tSY1pZWWFlZVXqcxEREREREZHKQAVhEZFKKj4+Hn9/fxo3bmy6V1Jv3rS0NCIiIujVqxdwvaCZlZVleu7r60txcTE7d+40tYz4tcDAQN599108PDyoWrXkvxYsLS0pKiq66X63bt2ws7NjwYIFbNmyhU8//bTU/XzxxRe4u7szceJE071Tp06VOv7G3ubPn0+3bt0AOH36tOnL7u4WZ2dn6tatyzfffMPAgQPv6loiIvdaVnxoRacgIiIiIhVMLSNERCopX19fBg4cyNy5c8sc5+Xlxfr160lPTycjI4NnnnnG7HSsh4cH4eHhDBkyhJSUFE6ePElqair//ve/ARgxYgQ//fQTAwYMYO/evWRmZvLRRx8xePBgUxHYw8OD3bt3k5WVxdmzZ03xLSwsiIiIIDo6Gi8vL9q0aVNmntnZ2axdu5bMzEzmzp3Le++9d8u9rVy5kqNHj7J7924GDhx4yxPPd0JsbCxxcXHMnTuX48ePc+jQIZKSknjjjTfu+toiIiIiIiIid5MKwiIildiUKVPKbH0A8MYbb+Dk5ETbtm3p0aMHwcHBBAYGmo1ZsGABffr04aWXXqJJkyYMHz6cCxcuANd7AaelpVFUVMQTTzyBr68vo0ePxtHRkSpVrv81ERUVhYWFBU2bNqV27dpmPXyHDh3K5cuXGTx4cJl5Pvnkk4wZM4bIyEj8/f354osveP3118ucs3TpUn7++WcCAwMJCwtj1KhR1KlTp8w5d8KwYcNYsmQJSUlJ+Pr60rFjR5KTk2nQoMFdX1tERERERETkbjJcu9E0UURE5Hf47LPPePzxxzl9+jTOzs4VnU6lkZ+fj4ODA3l5eaZ+zyIiIiIiIiJ3S3l/D1UPYRER+V0KCws5c+YMMTEx9O3bV8VgERERERERkfuAWkaIiMjvsmbNGtzd3Tl37hwzZ8783XGysrIwGAykp6cDkJqaisFg4Ny5c3ckT4PBQEpKyh2JJSIiIiIiInK/U0FYRKQSiYiIwGAwEB8fb3Y/JSUFg8Fgur527RqzZs3C29sbKysr6tWrx/Tp0+95rkVFRezfv5969eoB1798bvbs2fc0j1vJycmha9euFZ2GiIiIiIiISKWglhEiIpWMtbU1CQkJPP/88zg5OZU45uWXX+bjjz9m1qxZ+Pr68tNPP/HTTz/d40zvDy4uLhWdgohIpeExYVNFpyD3saz40IpOQURERO4AnRAWEalkOnfujIuLC3FxcSU+P3r0KAsWLOD999/nySefpEGDBjz88MN06dKlzLh79+6lS5cu1KpVCwcHBzp27MiBAwfMxpw7d47nn38eZ2dnrK2t+ctf/sLGjRtNzz///HPat2+PjY0Nbm5ujBo1igsXLgAQFBTEqVOnGDNmDAaDAYPBwIULF7C3t+edd94xWyclJQU7OzvOnz9fZs7lmX/58mUiIyNxdXXF2toad3d3s3f365YRN9pTrF+/nsceewxbW1uaN2/Orl27zOKXtU8RERERERGR+5kKwiIilYyFhQUzZszgrbfe4ttvv73p+QcffEDDhg3ZuHEjDRo0wMPDg2HDht3yhPD58+cJDw/n888/5z//+Q9eXl5069bNVJQtLi6ma9eupKWl8c9//pMjR44QHx+PhYUFAJmZmYSEhPDUU09x8OBB/vWvf/H5558TGRkJwPr163nooYeYMmUKOTk55OTkYGdnR//+/UlKSjLLJSkpiT59+lC9evUycy7P/Llz57Jhwwb+/e9/c+zYMVatWoWHh0eZcSdOnEhUVBTp6el4e3szYMAArl69Wq59ioiIiIiIiNzP1DJCRKQS6tWrF/7+/kyePJmlS5eaPfvmm284deoU69atY8WKFRQVFTFmzBj69OnDJ598UmrMTp06mV2//fbbODo6snPnTrp37862bdvYs2cPR48exdvbG4CGDRuaxsfFxTFw4EBGjx4NgJeXF3PnzqVjx44sWLCAGjVqYGFhQfXq1c3aNAwbNoy2bduSk5ODq6srubm5bN68mW3btpXrXdxqfnZ2Nl5eXjz66KMYDAbc3d1vGTMqKorQ0Ov/7DU2NpZmzZpx4sQJmjRpcst9WltblxizsLCQwsJC03V+fn659iciIiIiIiJyL+mEsIhIJZWQkMDy5cs5evSo2f3i4mIKCwtZsWIF7du3JygoiKVLl7Jjxw6OHTtGdnY2RqPR9JkxYwYAP/zwA8OHD8fLywsHBwfs7e0pKCggOzsbgPT0dB566CFTMfi3MjIySE5ONosdHBxMcXExJ0+eLHUfrVq1olmzZixfvhyAf/7zn7i7u9OhQ4dyvYdbzY+IiCA9PZ3GjRszatQoPv7441vG9PPzM/3s6uoKQG5u7h/aZ1xcHA4ODqaPm5tbufYnIiIiIiIici+pICwiUkl16NCB4OBgoqOjze67urpStWpVs8Ktj48PcP20bN26dUlPTzd9XnjhBQDCw8NJT09nzpw5fPHFF6Snp1OzZk0uX74MgI2NTZn5FBQU8Pzzz5vFzsjI4Ouvv6ZRo0Zlzh02bBjJycnA9XYPgwcPxmAwlPtdlDU/MDCQkydPMnXqVH755Rf69etHnz59yoxXrVo108834hQXF/+hfUZHR5OXl2f6nD59utz7ExEREREREblX1DJCRKQSi4+Px9/fn8aNG5vutWvXjqtXr5KZmWkqUB4/fhwAd3d3qlatiqen502x0tLSmD9/Pt26dQPg9OnTnD171vTcz8+Pb7/9luPHj5d4SjgwMJAjR46UGPsGS0tLioqKbrr/7LPPMm7cOObOncuRI0cIDw8v5xso33x7e3uefvppnn76afr06UNISAg//fQTNWrUuK11oHz7LImVlRVWVla3vZ6IiIiIiIjIvaSCsIhIJebr68vAgQOZO3eu6V7nzp0JDAxkyJAhzJ49m+LiYkaMGEGXLl1KbfcA13vhrly5khYtWpCfn8+rr75qdiq4Y8eOdOjQgaeeeoo33ngDT09P/vvf/2IwGAgJCWH8+PG0bt2ayMhIhg0bhp2dHUeOHGHr1q3MmzcPAA8PDz799FP69++PlZUVtWrVAsDJyYnevXvz6quv8sQTT/DQQw/d1nsoa/4bb7yBq6srAQEBVKlShXXr1uHi4oKjo+NtrXFDefYpInK/yooPregURERERKSCqWWEiEglN2XKFFM7A4AqVarwwQcfUKtWLTp06EBoaCg+Pj6sXbu2zDhLly7l559/JjAwkLCwMEaNGkWdOnXMxrz77ru0bNmSAQMG0LRpU8aNG2c68evn58fOnTs5fvw47du3JyAggEmTJlG3bl2zXLOysmjUqBG1a9c2iz106FAuX77MkCFDftd7KG1+9erVmTlzJi1atKBly5ZkZWWxefNmqlT5fX/FlWefIiIiIiIiIvcrw7Vr165VdBIiIvLgW7lyJWPGjOG7777D0tLyns+/1/Lz83FwcCAvLw97e/uKTkdEREREREQecOX9PVQtI0RE5K66ePEiOTk5xMfH8/zzz992MfePzhcRERERERGR/6OWESIiclfNnDmTJk2a4OLiQnR09D2fLyIiIiIiIiL/Ry0jRETuc1lZWTRo0IAvv/wSf3//e75+UFAQ/v7+zJ49+47F8PDwYPTo0YwePfoP5xcREcG5c+dISUn5w7Fuh1pGiIiIiIiIyL1U3t9DdUJYRCpUREQEBoOB+Ph4s/spKSkYDAbT9bVr15g1axbe3t5YWVlRr149pk+fXmZsg8GAtbU1p06dMrvfs2dPIiIizO7973//49lnn6VmzZrY2Njg6+vLvn37So2dnJyMwWAgJCTE7P65c+cwGAykpqaa3d/wT8/1AAEAAElEQVS0aROPPPIINjY2ODk50bNnzzJzT05OxtHRscwxN7i5uZGTk8Nf/vKXco3/vVJTUzEYDJw7d+6urnOnzZkzh+Tk5IpOQ0RERERERKRSUEFYRCqctbU1CQkJ/Pzzz6WOefnll1myZAmzZs3iv//9Lxs2bKBVq1a3jG0wGJg0aVKZY37++WfatWtHtWrV+PDDDzly5AiJiYk4OTmVOa9q1aps27aNHTt2lDnu3XffJSwsjMGDB5ORkUFaWhrPPPPMLXMvj8uXL2NhYYGLiwtVq6otfEkcHBzKXVwXEXlQeUzYhMeETRWdhoiIiIhUAioIi0iF69y5My4uLsTFxZX4/OjRoyxYsID333+fJ598kgYNGvDwww/TpUuXW8aOjIzkn//8J4cPHy51TEJCAm5ubiQlJdGqVSsaNGjAE088QaNGjcqMbWdnx5AhQ5gwYUKpY65evcrLL7/M3//+d1544QW8vb1p2rQp/fr1K3VOamoqgwcPJi8vD4PBgMFgICYmBrjeSmHq1KkMGjQIe3t7nnvuObKysjAYDKSnp5vmGwwGPvroIwICArCxsaFTp07k5uby4Ycf4uPjg729Pc888wwXL140rVtcXExcXBwNGjTAxsaG5s2b88477wDX21I89thjADg5OWEwGMxOWRcXFzNu3Dhq1KiBi4uLKV+AIUOG0L17d7M9XrlyhTp16rB06dIy33F557/zzjv4+vpiY2NDzZo16dy5MxcuXACun0L/9YnsoKAgRo0aVWq+cP2k97Bhw6hduzb29vZ06tSJjIyMW+YqIiIiIiIiUtmpICwiFc7CwoIZM2bw1ltv8e233970/IMPPqBhw4Zs3LiRBg0a4OHhwbBhw/jpp59uGbtdu3Z07969zKLthg0baNGiBX379qVOnToEBASwePHicuUeExPDoUOHTIXT3zpw4AD/+9//qFKlCgEBAbi6utK1a9cyC9Rt27Zl9uzZ2Nvbk5OTQ05ODlFRUabns2bNonnz5nz55Ze8/vrrZeY2b948vvjiC06fPk2/fv2YPXs2q1evZtOmTXz88ce89dZbpvFxcXGsWLGChQsX8tVXXzFmzBieffZZdu7ciZubG++++y4Ax44dIycnhzlz5pjmLl++HDs7O3bv3s3MmTOZMmUKW7duBWDYsGFs2bKFnJwc0/iNGzdy8eJFnn766Vu84VvPz8nJYcCAAQwZMoSjR4+SmppK7969KatFfln5AvTt29dUQN+/fz+BgYE8/vjj5frfnIiIiIiIiEhlpoKwiFQKvXr1wt/fn8mTJ9/07JtvvuHUqVOsW7eOFStWkJyczP79++nTp0+5YsfFxbFlyxY+++yzEp9/8803LFiwAC8vLz766CNefPFFRo0axfLly28Zu27durz88stMnDiRq1evlhgbrhdnX3vtNTZu3IiTkxNBQUGlFhctLS1xcHDAYDDg4uKCi4sLRqPR9LxTp06MHTuWRo0alXmKedq0abRr146AgACGDh3Kzp07WbBgAQEBAbRv354+ffqY2l0UFhYyY8YMli1bRnBwMA0bNiQiIoJnn32WRYsWYWFhQY0aNQCoU6cOLi4uODg4mNby8/Nj8uTJeHl5MWjQIFq0aMH27duB6wXuxo0bs3LlStP4pKQk+vbta7av0txqfk5ODlevXqV37954eHjg6+vLSy+9VGbssvL9/PPP2bNnD+vWraNFixZ4eXkxa9YsHB0dSy3833iH+fn5Zh8RERERERGRykYFYRGpNBISEli+fDlHjx41u19cXExhYSErVqygffv2BAUFsXTpUnbs2MGxY8duGbdp06YMGjSo1FPCxcXFBAYGMmPGDAICAnjuuecYPnw4CxcuLFfe48eP58yZMyxbtqzE2AATJ07kqaee4uGHHyYpKQmDwcC6desAaNasGUajEaPRSNeuXW+5XosWLcqVl5+fn+lnZ2dnbG1tadiwodm93NxcAE6cOMHFixfp0qWLKRej0ciKFSvIzMy8rbUAXF1dTbHh+infpKQkAH744Qc+/PBDhgwZUq593Gp+8+bNefzxx/H19aVv374sXry4zH7Ut8o3IyODgoICatasafYuTp48Wea7iIuLw8HBwfRxc3Mr9/5ERERERERE7hV9A5GIVBodOnQgODiY6Ohos/60rq6uVK1aFW9vb9M9Hx8fALKzs2ncuPEtY8fGxuLt7U1KSspNz1xdXWnatKnZPR8fH1OLhFtxdHQkOjqa2NjYm3rdurq6ApjFt7KyomHDhmRnZwOwefNmrly5AoCNjc0t17OzsytXXtWqVTP9bDAYzK5v3LtRsC4oKABg06ZN1KtXz2yclZXVba3129iAqSC/a9cuvvjiCxo0aED79u3LtY9bzbewsGDr1q188cUXpjYYEydOZPfu3TRo0OC28y0oKMDV1ZXU1NSb5pX15XTR0dG88sorpuv8/HwVhUVERERERKTSUUFYRCqV+Ph4/P39zYq87dq14+rVq2RmZppaJBw/fhwAd3f3csV1c3MjMjKSv/3tbze1WWjXrt1NJ42PHz9e7tgAI0eOZO7cuWZ9dQEefvhhrKysOHbsGI8++ihw/QvRsrKyTPFLWsfS0pKioqJyr/9HNW3aFCsrK7Kzs+nYsWOJYywtLQF+V141a9akZ8+eJCUlsWvXLgYPHnxH5xsMBtq1a0e7du2YNGkS7u7uvPfee2YF2vIKDAzk+++/p2rVqnh4eJR7npWVVbmK5yIiIiIiIiIVSQVhEalUfH19GThwIHPnzjXd69y5M4GBgQwZMoTZs2dTXFzMiBEj6NKli9mp4VuJjo5m8eLFnDx50uzLzMaMGUPbtm2ZMWMG/fr1Y8+ePbz99tu8/fbb5Y5tbW1NbGwsI0aMMLtvb2/PCy+8wOTJk3Fzc8Pd3Z2///3vwPUvLiuNh4cHBQUFbN++nebNm2Nra4utrW2587ld1atXJyoqijFjxlBcXMyjjz5KXl4eaWlp2NvbEx4ejru7OwaDgY0bN9KtWzdsbGzK1QP4hmHDhtG9e3eKiooIDw+/7RxLm7979262b9/OE088QZ06ddi9ezdnzpwxnSK/XZ07d6ZNmzb07NmTmTNn4u3tzXfffcemTZvo1atXuVt2iIhUJlnxoRWdgoiIiIhUEuohLCKVzpQpU8zaDVSpUoUPPviAWrVq0aFDB0JDQ/Hx8WHt2rWmMVlZWRgMhhL/mf8NNWrUYPz48Vy6dMnsfsuWLXnvvfdYs2YNf/nLX5g6dSqzZ89m4MCBpjExMTG3PC0aHh5u1qP3hr///e/079+fsLAwWrZsyalTp/jkk09wcnIqNVbbtm154YUXePrpp6lduzYzZ84sc+07YerUqbz++uvExcXh4+NDSEgImzZtMrVdqFevHrGxsUyYMAFnZ2ciIyNvK37nzp1xdXUlODiYunXr3nZ+pc23t7fn008/pVu3bnh7e/Paa6+RmJhYrn7MJTEYDGzevJkOHTowePBgvL296d+/P6dOncLZ2fl3xRQRERERERGpLAzXrl27VtFJiIj8UTt27KB379588803ZRZaf6/w8HAMBgPJycl3PPafRUFBAfXq1SMpKYnevXvf8/n3Wn5+Pg4ODuTl5WFvb1/R6YiIiIiIiMgDrry/h6plhIg8EDZv3szf/va3u1IMvnbtGqmpqXz++ed3PPafQXFxMWfPniUxMRFHR0eefPLJezpfRERERERERP6PCsIi8kC40Zf3bjAYDJw6dequxX/QZWdn06BBAx566CGSk5OpWvX2/ur5o/NFRERERERE5P+oh7CISAVITU3FYDBw7tw5AJKTk3F0dKzQnMrLYDCQkpJS7vEeHh5cu3aN06dP8/jjj5d73o13cqv5t8rnt+9aRERERERE5M9MBWERuW9ERERgMBiIj483u5+SkoLBYACuF//++te/4urqip2dHf7+/qxatarMuDe+kK5OnTqcP3/e7Jm/vz8xMTE35fDrT0hIyB/e29NPP83x48f/cJzbERQUxOjRo+/pmrfjt+8kJiYGf3//247Ttm1bcnJycHBwuIPZiYiIiIiIiNyf9O9uReS+Ym1tTUJCAs8//3yJ/YK/+OIL/Pz8GD9+PM7OzmzcuJFBgwbh4OBA9+7dy4x9/vx5Zs2aRWxsbJnjQkJCSEpKMl1bWVn9vs38io2NDTY2Nn84zv3g8uXLWFpa3nLcnXonlpaWuLi4/OE4IiIPAo8Jmyo6hXsuKz60olMQERERqVR0QlhE7iudO3fGxcWFuLi4Ep//7W9/Y+rUqbRt25ZGjRrx8ssvExISwvr1628Ze+TIkbzxxhvk5uaWOc7KygoXFxfTpzxfZLd582a8vb2xsbHhscceIysry+z5b1tGZGZm8te//hVnZ2eMRiMtW7Zk27ZtZnMKCwsZP348bm5uWFlZ4enpydKlS03PDx8+TNeuXTEajTg7OxMWFsbZs2eB6yedd+7cyZw5c0wnnU+ePImnpyezZs0yWyc9PR2DwcCJEydK3NuhQ4fo1KkTNjY21KxZk+eee46CggLT84iICHr27Mn06dOpW7cujRs3Np3KXr9+PY899hi2trY0b96cXbt2lfhOkpOTiY2NJSMjw5RvcnKyaezZs2fp1asXtra2eHl5sWHDBtOz0tpzfPTRR/j4+GA0GgkJCSEnJ8dsX0uWLMHHxwdra2uaNGnC/PnzS9y/iIiIiIiIyP1EBWERua9YWFgwY8YM3nrrLb799ttyzcnLy6NGjRq3HDdgwAA8PT2ZMmVKmeNSU1OpU6cOjRs35sUXX+THH38sc/zp06fp3bs3PXr0ID09nWHDhjFhwoQy5xQUFNCtWze2b9/Ol19+SUhICD169CA7O9s0ZtCgQaxZs4a5c+dy9OhRFi1ahNFoBODcuXN06tSJgIAA9u3bx5YtW/jhhx/o168fAHPmzKFNmzYMHz6cnJwccnJyqF+/PkOGDDE7/QyQlJREhw4d8PT0vCnPCxcuEBwcjJOTE3v37mXdunVs27aNyMhIs3Hbt2/n2LFjbN26lY0bN5ruT5w4kaioKNLT0/H29mbAgAFcvXr1pnWefvppxo4dS7NmzUz5Pv3006bnsbGx9OvXj4MHD9KtWzcGDhzITz/9VOr7vXjxIrNmzWLlypV8+umnZGdnExUVZXq+atUqJk2axPTp0zl69CgzZszg9ddfZ/ny5aXGFBEREREREbkfqGWEiNx3evXqhb+/P5MnTzY7EVuSf//73+zdu5dFixbdMu6N/sQ9evRgzJgxNGrU6KYxISEh9O7dmwYNGpCZmcnf/vY3unbtyq5du7CwsCgx7oIFC2jUqBGJiYkANG7cmEOHDpGQkFBqLs2bN6d58+am66lTp/Lee++xYcMGIiMjOX78OP/+97/ZunUrnTt3BqBhw4am8fPmzSMgIIAZM2aY7i1btgw3NzeOHz+Ot7c3lpaW2NramrVTiIiIYNKkSezZs4dWrVpx5coVVq9efdOp4RtWr17NpUuXWLFiBXZ2dqa1e/ToQUJCAs7OzgDY2dmxZMkSU6uIGyeko6KiCA29/k95Y2NjadasGSdOnKBJkyZm69jY2GA0GqlatWqJ7R8iIiIYMGAAADNmzGDu3Lns2bOn1P7OV65cYeHChab/xpGRkWb/R8DkyZNJTEykd+/eADRo0IAjR46waNEiwsPDS4xZWFhIYWGh6To/P7/EcSIiIiIiIiIVSSeEReS+lJCQwPLlyzl69GipY3bs2MHgwYNZvHgxzZo1K1fc4OBgHn30UV5//fUSn/fv358nn3wSX19fevbsycaNG9m7dy+pqakAphYNRqPRtObRo0d55JFHzOK0adOmzDwKCgqIiorCx8cHR0dHjEYjR48eNZ0QTk9Px8LCgo4dO5Y4PyMjgx07dphyMRqNpiJrZmZmqevWrVuX0NBQli1bBsAHH3xAYWEhffv2LXH80aNHad68uakYDNCuXTuKi4s5duyY6Z6vr2+JfYP9/PxMP7u6ugLcsmVHSX4dx87ODnt7+zLj2NramhX8XV1dTeMvXLhAZmYmQ4cONXt/06ZNK/PdxcXF4eDgYPq4ubnd9j5ERERERERE7jadEBaR+1KHDh0IDg4mOjqaiIiIm57v3LmTHj168OabbzJo0KDbih0fH0+bNm149dVXbzm2YcOG1KpVixMnTvD444+zZMkSfvnlFwCqVat2W+v+WlRUFFu3bmXWrFl4enpiY2NDnz59uHz5MsAtv2ytoKDAdEr3t24UXkszbNgwwsLCePPNN0lKSuLpp5/G1tb2d+8FMCsY/9qv35HBYACguLj4tuP/9l0bDIYy45Q0/tq1awCm/seLFy++qZBf2ilwgOjoaF555RXTdX5+vorCIiIiIiIiUumoICwi9634+Hj8/f1p3Lix2f3U1FS6d+9OQkICzz333G3HbdWqFb17975ln1+Ab7/9lh9//NFUZK1Xr95NY3x8fMy+5AzgP//5T5lx09LSiIiIoFevXsD1IuWvv4jO19eX4uJidu7caWoZ8WuBgYG8++67eHh4ULVqyX/UW1paUlRUdNP9bt26YWdnx4IFC9iyZQuffvppqXn6+PiQnJzMhQsXTEXftLQ0qlSpctN/lz+qtHzvNGdnZ+rWrcs333zDwIEDyz3PysoKKyuru5iZiIiIiIiIyB+ngrCI3Ld8fX0ZOHAgc+fONd3bsWMH3bt35+WXX+app57i+++/B64XE8vzxXI3TJ8+nWbNmpkVUwsKCoiNjeWpp57CxcWFzMxMxo0bh6enJ8HBwaXGeuGFF0hMTOTVV19l2LBh7N+/n+Tk5DLX9/LyYv369fTo0QODwcDrr79uduLVw8OD8PBwhgwZwty5c2nevDmnTp0iNzeXfv36MWLECBYvXsyAAQMYN24cNWrU4MSJE6xdu5YlS5ZgYWGBh4cHu3fvJisrC6PRSI0aNahSpQoWFhZEREQQHR2Nl5dXme0tBg4cyOTJkwkPDycmJoYzZ84wcuRIwsLCTP2D7xQPDw9OnjxJeno6Dz30ENWrV79rBdjY2FhGjRqFg4MDISEhFBYWsm/fPn7++WezU8AiIvebrPjQik5BRERERCqYegiLyH1typQpZoXS5cuXc/HiReLi4nB1dTV9bnw5GFw/QWwwGMxO3P6Wt7c3Q4YM4dKlS6Z7FhYWHDx4kCeffBJvb2+GDh3Kww8/zGeffVZmYbJ+/fq8++67pKSk0Lx5cxYuXGj2ZW8leeONN3BycqJt27b06NGD4OBgAgMDzcYsWLCAPn368NJLL9GkSROGDx/OhQsXgOu9gNPS0igqKuKJJ57A19eX0aNH4+joSJUq1//oj4qKwsLCgqZNm1K7dm1Tf2KAoUOHcvnyZQYPHlxmnra2tnz00Uf89NNPtGzZkj59+vD4448zb968Muf9Hk899RQhISE89thj1K5dmzVr1tzxNW4YNmwYS5YsISkpCV9fXzp27EhycjINGjS4a2uKiIiIiIiI3AuGazeaJoqI/EkkJSUxY8YMjhw58of6/D7IPvvsMx5//HFOnz59x0/6/lnk5+fj4OBAXl4e9vb2FZ2OiIiIiIiIPODK+3uoWkaIyJ/O5s2bmTFjhorBJSgsLOTMmTPExMTQt29fFYNFREREREREHjAqCIvIn866desqOoVKa82aNQwdOhR/f39WrFhR0emIiIiIiIiIyB2mHsIi8qcSFhZ2y/69ZTl79ix16tTh22+/vYNZ3VvJyck4OjqW+CwiIoKioiL2799PvXr17m1i5WQwGEhJSSn1eVZWFgaDgfT0dOD/ekafO3funuQnIiIiIiIiUpmpICwi972IiAgMBgPx8fFm91NSUjAYDKbrjIwMNm/ezKhRo0z3goKCSE5ONl2//fbbBAUFYW9vX2IRsVatWgwaNIjJkyfflb3cjt8WPv8scnJy6Nq1a7nHt23blpycHBwcHO5iViIiIiIiIiL3B7WMEJEHgrW1NQkJCTz//PM4OTmVOOatt96ib9++GI3GUuNcvHiRkJAQQkJCiI6OLnHM4MGDefjhh/n73/9OjRo17kj+fzZXrlz53T2cXVxcbmu8paXlbc8REXlQeUzYVNEpyF2WFR9a0SmIiIhIJacTwiLyQOjcuTMuLi7ExcWV+LyoqIh33nmHHj16lBln9OjRTJgwgdatW5c6plmzZtStW5f33nuvzFgrV66kRYsWVK9eHRcXF5555hlyc3PNxnz11Vd0794de3t7qlevTvv27cnMzDQ9X7JkCT4+PlhbW9OkSRPmz59vetagQQMAAgICMBgMBAUF8emnn1KtWjW+//77m/bVvn37EvPMyMjgscceo3r16tjb2/Pwww+zb98+4P/aS6SkpODl5YW1tTXBwcGcPn3aLMb7779PYGAg1tbWNGzYkNjYWK5evWp6bjAYWLBgAU8++SR2dnZMnz6dmJgY/P39WbZsGfXr18doNPLSSy9RVFTEzJkzcXFxoU6dOkyfPt1srd+2jNizZw8BAQFYW1vTokULvvzyS7Pxv20ZcWNPH330ET4+PhiNRkJCQsjJyTGbV9a7FxEREREREblfqSAsIg8ECwsLZsyYwVtvvVVif9+DBw+Sl5dHixYt7sh6rVq14rPPPitzzJUrV5g6dSoZGRmkpKSQlZVFRESE6fn//vc/OnTogJWVFZ988gn79+9nyJAhpkLqqlWrmDRpEtOnT+fo0aPMmDGD119/neXLlwPXC6EA27ZtIycnh/Xr19OhQwcaNmzIypUrzfJYtWoVQ4YMKTHPgQMH8tBDD7F3717279/PhAkTzE7vXrx4kenTp7NixQrS0tI4d+4c/fv3Nz3/7LPPGDRoEC+//DJHjhxh0aJFJCcn31TIjYmJoVevXhw6dMiUS2ZmJh9++CFbtmxhzZo1LF26lNDQUL799lt27txJQkICr732Grt37y4x94KCArp3707Tpk3Zv38/MTExREVFlfnf5caeZs2axcqVK/n000/Jzs42m3erd1+SwsJC8vPzzT4iIiIiIiIilY1aRojIA6NXr174+/szefJkli5davbs1KlTWFhYUKdOHbP7qampv2utunXr3nQS9bd+XYBt2LAhc+fOpWXLlhQUFGA0GvnHP/6Bg4MDa9euNRVgvb29TXMmT55MYmIivXv3Bq6fCL5RcA0PD6d27doA1KxZ06wlwtChQ0lKSuLVV18F4IMPPuDSpUv069evxDyzs7N59dVXadKkCQBeXl5mz69cucK8efN45JFHAFi+fDk+Pj7s2bOHVq1aERsby4QJEwgPDzftderUqYwbN86s1/IzzzzD4MGDzWIXFxezbNkyqlevTtOmTXnsscc4duwYmzdvpkqVKjRu3JiEhAR27NhhWv/XVq9eTXFxMUuXLsXa2ppmzZrx7bff8uKLL5b63+XGnhYuXEijRo0AiIyMZMqUKeV+9yWJi4sjNja2zHVFREREREREKppOCIvIAyUhIYHly5dz9OhRs/u//PILVlZWZl8y90fY2Nhw8eJF4PppUqPRaPrcODm8f/9+evToQf369alevTodO3YErhdgAdLT02nfvn2JvXQvXLhAZmYmQ4cONYs9bdo0s5YSJYmIiODEiRP85z//Aa63SOjXrx92dnYljn/llVcYNmwYnTt3Jj4+/qb4VatWpWXLlqbrJk2a4OjoaHrHGRkZTJkyxSzP4cOHk5OTY3pHQImnsz08PKhevbrp2tnZmaZNm1KlShWze79ttXHD0aNH8fPzw9ra2nSvTZs2pb6bG2xtbU3FYABXV1fTGr/33UdHR5OXl2f6/LathoiIiIiIiEhloBPCIvJA6dChA8HBwURHR5u1Z6hVqxYXL17k8uXLWFpa/uF1fvrpJ9MJ3SeffNLs9Gq9evW4cOECwcHBBAcHs2rVKmrXrk12djbBwcFcvnwZuF5ULk1BQQEAixcvvulkrIWFRZm51alThx49epCUlESDBg348MMPyzwJHRMTwzPPPMOmTZv48MMPmTx5MmvXrqVXr15lrvPrXGNjY02naX/t14XakgrSvy2GGwyGEu8VFxeXK5fyKmmNa9euAb//3VtZWWFlZXVH8xQRERERERG501QQFpEHTnx8PP7+/jRu3Nh0z9/fH4AjR46Yfv4jDh8+TFBQEADVq1c3O+UK108H//jjj8THx+Pm5gZg+qK2G/z8/Fi+fDlXrly5qUDp7OxM3bp1+eabbxg4cGCJOdwobBcVFd30bNiwYQwYMICHHnqIRo0a0a5duzL34+3tjbe3N2PGjGHAgAEkJSWZCsJXr15l3759tGrVCoBjx45x7tw5fHx8AAgMDOTYsWN4enqWucbd4OPjw8qVK7l06ZKp+HzjZPTvVZ53LyIiIiIiInK/UkFYRB44vr6+DBw4kLlz55ru1a5dm8DAQD7//PMyC8Lff/8933//PSdOnADg0KFDVK9enfr161OjRg3g+heS7d+/nxkzZpQap379+lhaWvLWW2/xwgsvcPjwYaZOnWo2JjIykrfeeov+/fsTHR2Ng4MD//nPf2jVqhWNGzcmNjaWUaNG4eDgQEhICIWFhezbt4+ff/6ZV155hTp16mBjY8OWLVt46KGHsLa2xsHBAYDg4GDs7e2ZNm2aWW/c3/rll1949dVX6dOnDw0aNODbb79l7969PPXUU6Yx1apVY+TIkcydO5eqVasSGRlJ69atTQXiSZMm0b17d+rXr0+fPn2oUqUKGRkZHD58mGnTppW69p3wzDPPMHHiRIYPH050dDRZWVnMmjXrD8e91bsXEblfZcWHVnQKIiIiIlLB1ENYRB5IU6ZMuanNwLBhw1i1alWZ8xYuXEhAQADDhw8HrregCAgIYMOGDaYx77//PvXr16d9+/alxqlduzbJycmsW7eOpk2bEh8ff1OhsmbNmnzyyScUFBTQsWNHHn74YRYvXmw6LTxs2DCWLFlCUlISvr6+dOzYkeTkZBo0aABc7+07d+5cFi1aRN26dfnrX/9qil2lShUiIiIoKipi0KBBpeZpYWHBjz/+yKBBg/D29qZfv3507drV7MvRbG1tGT9+PM888wzt2rXDaDTyr3/9y/Q8ODiYjRs38vHHH9OyZUtat27Nm2++ibu7e5nv+k4wGo188MEHHDp0iICAACZOnEhCQsIfjnurdy8iIiIiIiJyvzJcu9E0UUTkAffLL7/QuHFj/vWvf5Xri8dK07p1a0aNGsUzzzxzB7O784YOHcqZM2fMitm3Kzk5mdGjR3Pu3Lk7l9ifRH5+Pg4ODuTl5WFvb1/R6YiIiIiIiMgDrry/h6plhIj8adjY2LBixQrOnj37u2OcPXuW3r17M2DAgDuY2Z2Vl5fHoUOHWL169R8qBouIiIiIiIjIg0cFYRH5U7nxRXC/V61atRg3btydSeYu+etf/8qePXt44YUX6NKlS0WnIyIiIiIiIiKViHoIi4g8YFJTU9m8eTOzZ8/+Q60eUlNTGTx4MFlZWXcstz+Si8FgUOsKERERERERkT9IBWERkftcUFAQo0ePrug07qq2bduSk5ODg4PDHY1rMBhISUm5ozFFREREREREKjO1jBARkUrP0tISFxeXik5DROS+5zFhU0WnIHdBVnxoRacgIiIi9xGdEBYRuYeCgoIYOXIko0ePxsnJCWdnZxYvXsyFCxcYPHgw1atXx9PTkw8//NA05/Dhw3Tt2hWj0YizszNhYWGmL8aLiIhg586dzJkzB4PBgMFgMGvxsH//flq0aIGtrS1t27bl2LFjAGRlZVGlShX27dtnlt/s2bNxd3enuLj4ptxPnTpFjx49cHJyws7OjmbNmrF582YAkpOTcXR0NBufkpKCwWAwu/fBBx/QsmVLrK2tqVWrFr169TI9KywsZPz48bi5uWFlZYWnpydLly4Fbm4ZcWO9jz76CB8fH4xGIyEhIeTk5Jji7d27ly5dulCrVi0cHBzo2LEjBw4cMD338PAAoFevXhgMBtM1wPvvv09gYCDW1tY0bNiQ2NhYrl69etM7EREREREREbnfqCAsInKPLV++nFq1arFnzx5GjhzJiy++SN++fWnbti0HDhzgiSeeICwsjIsXL3Lu3Dk6depEQEAA+/btY8uWLfzwww/069cPgDlz5tCmTRuGDx9OTk4OOTk5uLm5mdaaOHEiiYmJ7Nu3j6pVqzJkyBDgejG0c+fOJCUlmeWWlJREREQEVarc/NfDiBEjKCws5NNPP+XQoUMkJCRgNBrLve9NmzbRq1cvunXrxpdffsn27dtp1aqV6fmgQYNYs2YNc+fO5ejRoyxatKjM+BcvXmTWrFmsXLmSTz/9lOzsbKKiokzPz58/T3h4OJ9//jn/+c9/8PLyolu3bpw/fx64XjC+seecnBzT9WeffcagQYN4+eWXOXLkCIsWLSI5OZnp06eXub/CwkLy8/PNPiIiIiIiIiKVjVpGiIjcY82bN+e1114DIDo6mvj4eGrVqsXw4cMBmDRpEgsWLODgwYNs27aNgIAAZsyYYZq/bNky3NzcOH78ON7e3lhaWmJra1tiS4Xp06fTsWNHACZMmEBoaCiXLl3C2tqaYcOG8cILL/DGG29gZWXFgQMHOHToEO+//36JeWdnZ/PUU0/h6+sLQMOGDW9r39OnT6d///7ExsaavQuA48eP8+9//5utW7fSuXPncsW/cuUKCxcupFGjRgBERkYyZcoU0/NOnTqZjX/77bdxdHRk586ddO/endq1awPg6Oho9u5iY2OZMGEC4eHhpjymTp3KuHHjmDx5cqn5xMXFme1NREREREREpDLSCWERkXvMz8/P9LOFhQU1a9Y0FVkBnJ2dAcjNzSUjI4MdO3ZgNBpNnyZNmgCQmZl5W2u5urqa4gL07NkTCwsL3nvvPeB6G4bHHnvMrHXCr40aNYpp06bRrl07Jk+ezMGDB29j15Cens7jjz9e6jMLCwtT8bo8bG1tTcVguL6/G3sD+OGHHxg+fDheXl44ODhgb29PQUEB2dnZZcbNyMhgypQpZu/8xgnsixcvljovOjqavLw80+f06dPl3ouIiIiIiIjIvaITwiIi91i1atXMrg0Gg9m9G313i4uLKSgooEePHiQkJNwU50aBt7xr/TouXP+itkGDBpGUlETv3r1ZvXo1c+bMKTXWsGHDCA4OZtOmTXz88cfExcWRmJjIyJEjqVKlCteuXTMbf+XKFbNrGxubUmOX9aw8e4Pr+/t1DuHh4fz444/MmTMHd3d3rKysaNOmDZcvXy4zbkFBAbGxsfTu3fumZ9bW1qXOs7KywsrK6jZ3ISIiIiIiInJv6YSwiEglFhgYyFdffYWHhweenp5mHzs7O+B6YbeoqOh3xR82bBjbtm1j/vz5XL16tcQi6K+5ubnxwgsvsH79esaOHcvixYsBqF27NufPn+fChQumsenp6WZz/fz82L59e4lxfX19KS4uZufOnb9rHyVJS0tj1KhRdOvWjWbNmmFlZWX6Mr4bqlWrdtO7CwwM5NixYze9b09PzxJ7K4uIiIiIiIjcT3RCWESkEhsxYgSLFy9mwIABjBs3jho1anDixAnWrl3LkiVLsLCwwMPDg927d5OVlYXRaKRGjRrlju/j40Pr1q0ZP348Q4YMKfOk7ujRo+natSve3t78/PPP7NixAx8fHwAeeeQRbG1t+dvf/saoUaPYvXs3ycnJZvMnT57M448/TqNGjejfvz9Xr15l8+bNjB8/Hg8PD8LDwxkyZAhz586lefPmnDp1itzcXNMX6N0uLy8vVq5cSYsWLcjPz+fVV1+9aX8eHh5s376ddu3aYWVlhZOTE5MmTaJ79+7Ur1+fPn36UKVKFTIyMjh8+DDTpk37XbmIiFQWWfGhFZ2CiIiIiFQwHXUSEanE6tatS1paGkVFRTzxxBP4+voyevRoHB0dTadVo6KisLCwoGnTptSuXfuWPXJ/a+jQoVy+fJkhQ4aUOa6oqIgRI0bg4+NDSEgI3t7ezJ8/H4AaNWrwz3/+k82bN+Pr68uaNWuIiYkxmx8UFMS6devYsGED/v7+dOrUiT179pieL1iwgD59+vDSSy/RpEkThg8fbnbi+HYtXbqUn3/+mcDAQMLCwhg1ahR16tQxG5OYmMjWrVtxc3MjICAAgODgYDZu3MjHH39My5Ytad26NW+++Sbu7u6/OxcRERERERGRysJw7bdNH0VE5E9l6tSprFu37ra/JE7Klp+fj4ODA3l5edjb21d0OiIiIiIiIvKAK+/voTohLCLyJ1VQUMDhw4eZN28eI0eOrOh0REREREREROQeUEFYRORPKjIykocffpigoKBbtosQERERERERkQeDCsIiIndZamoqBoOBc+fOlTomJiYGf3//O7pucnIyjo6OZT4vLCzkX//6FxYWFnd07dthMBhISUkxXf/3v/+ldevWWFtb37F3EhQUxOjRo8sc4+HhwezZs+/IeiIiIiIiIiKVVdWKTkBE5EESFBSEv7//bRcWo6Ki7njbhqeffppu3brd0Zj3wuTJk7Gzs+PYsWMYjcY7EnP9+vVUq1btjsQSERERERERuZ+pICwiUgkYjcY7Vvy8wcbGBhsbmzsa817IzMwkNDQUd3f3OxazRo0adyyWiMj9zGPCpopOQR4gWfGhFZ2CiIiI/A5qGSEif0pBQUGMHDmS0aNH4+TkhLOzM4sXL+bChQsMHjyY6tWr4+npyYcffmg27/Dhw3Tt2hWj0YizszNhYWGcPXsWgIiICHbu3MmcOXMwGAwYDAaysrJMc/fv30+LFi2wtbWlbdu2HDt2zPTsty0jiouLmTJlCg899BBWVlb4+/uzZcsW0/OsrCwMBgPr16/nsccew9bWlubNm7Nr1y7TmN+2jLixxsqVK/Hw8MDBwYH+/ftz/vx5s3Xj4uJo0KABNjY2NG/enHfeeafMdzl//ny8vLywtrbG2dmZPn36mJ6V1IbB39+fmJiYEmMZDAb279/PlClTMBgMpnGHDh2iU6dO2NjYULNmTZ577jkKCgqA6y05LC0t+eyzz0xxZs6cSZ06dfjhhx+Am1tG5Obm0qNHD2xsbGjQoAGrVq26KZdz584xbNgwateujb29PZ06dSIjI6PMdyEiIiIiIiJS2akgLCJ/WsuXL6dWrVrs2bOHkSNH8uKLL9K3b1/atm3LgQMHeOKJJwgLC+PixYvA9QJhp06dCAgIYN++fWzZsoUffviBfv36ATBnzhzatGnD8OHDycnJIScnBzc3N9N6EydOJDExkX379lG1atUyv8htzpw5JCYmMmvWLA4ePEhwcDBPPvkkX3/9tdm4iRMnEhUVRXp6Ot7e3gwYMICrV6+WGjczM5OUlBQ2btzIxo0b2blzJ/Hx8abncXFxrFixgoULF/LVV18xZswYnn32WXbu3FlivH379jFq1CimTJnCsWPH2LJlCx06dLj1yy9FTk4OzZo1Y+zYseTk5BAVFcWFCxcIDg7GycmJvXv3sm7dOrZt20ZkZCTwf8XesLAw8vLy+PLLL3n99ddZsmQJzs7OJa4TERHB6dOn2bFjB++88w7z588nNzfXbEzfvn3Jzc3lww8/ZP/+/QQGBvL444/z008/lRizsLCQ/Px8s4+IiIiIiIhIZaOWESLyp9W8eXNee+01AKKjo4mPj6dWrVoMHz4cgEmTJrFgwQIOHjxI69atmTdvHgEBAcyYMcMUY9myZbi5uXH8+HG8vb2xtLTE1tYWFxeXm9abPn06HTt2BGDChAmEhoZy6dIlrK2tbxo7a9Ysxo8fT//+/QFISEhgx44dzJ49m3/84x+mcVFRUYSGXv/nmrGxsTRr1owTJ07QpEmTEvdcXFxMcnIy1atXByAsLIzt27czffp0CgsLmTFjBtu2baNNmzYANGzYkM8//5xFixaZcv+17Oxs7Ozs6N69O9WrV8fd3Z2AgIBbvPnSubi4ULVqVYxGo+kdLl68mEuXLrFixQrs7OwAmDdvHj169CAhIQFnZ2emTZvG1q1bee655zh8+DDh4eE8+eSTJa5x/PhxPvzwQ/bs2UPLli0BWLp0KT4+PqYxn3/+OXv27CE3NxcrKyvg+n+TlJQU3nnnHZ577rmb4sbFxREbG/u79y4iIiIiIiJyL+iEsIj8afn5+Zl+trCwoGbNmvj6+pru3ThdeuPkaEZGBjt27DD1+zUajabCa2Zm5m2t5+rqahb71/Lz8/nuu+9o166d2f127dpx9OjR3xXzBg8PD1Mx+MacG+NPnDjBxYsX6dKli9keV6xYUer+unTpgru7Ow0bNiQsLIxVq1aZTlTfKUePHqV58+amYjBcfxfFxcWmthuWlpasWrWKd999l0uXLvHmm2+WGa9q1ao8/PDDpntNmjQxa6+RkZFBQUEBNWvWNHsXJ0+eLPVdREdHk5eXZ/qcPn36D+5cRERERERE5M7TCWER+dOqVq2a2bXBYDC7ZzAYgOunagEKCgpMp1J/60Yxtrzr/Tb273W7MUva86/3B7Bp0ybq1atnNu7GKdnfql69OgcOHCA1NZWPP/6YSZMmERMTw969e3F0dKRKlSpcu3bNbM6VK1fKubvb88UXXwDw008/8dNPP5kVkG9XQUEBrq6upKam3vTs14XjX7Oysir1PYmIiIiIiIhUFjohLCJSToGBgXz11Vd4eHjg6elp9rlRfLS0tKSoqOgPrWNvb0/dunVJS0szu5+WlkbTpk3/UOyyNG3aFCsrK7Kzs2/a3697If9W1apV6dy5MzNnzuTgwYNkZWXxySefAFC7dm1ycnJMY/Pz8zl58uRt5eXj40NGRgYXLlww3UtLS6NKlSo0btwYuH5Ce8yYMSxevJhHHnmE8PDwUgvjTZo04erVq+zfv99079ixY5w7d850HRgYyPfff0/VqlVvehe1atW6rfxFREREREREKhOdEBYRKacRI0awePFiBgwYwLhx46hRowYnTpxg7dq1LFmyBAsLCzw8PNi9ezdZWVkYjUZq1Kjxu9Z69dVXmTx5Mo0aNcLf35+kpCTS09NZtWrVHd7V/6levTpRUVGMGTOG4uJiHn30UfLy8khLS8Pe3p7w8PCb5mzcuJFvvvmGDh064OTkxObNmykuLjYVajt16kRycjI9evTA0dGRSZMmYWFhcVt5DRw4kMmTJxMeHk5MTAxnzpxh5MiRhIWF4ezsTFFREc8++yzBwcEMHjyYkJAQfH19SUxM5NVXX70pXuPGjQkJCeH5559nwYIFVK1aldGjR2NjY2Ma07lzZ9q0aUPPnj2ZOXMm3t7efPfdd2zatIlevXrRokWL23y7IiKVQ1Z8aEWnICIiIiIVTAVhEZFyunFqd/z48TzxxBMUFhbi7u5OSEgIVapc/wcXUVFRhIeH07RpU3755ZfbPg17w6hRo8jLy2Ps2LHk5ubStGlTNmzYgJeX153c0k2mTp1K7dq1iYuL45tvvsHR0ZHAwED+9re/lTje0dGR9evXExMTw6VLl/Dy8mLNmjU0a9YMuN5X9+TJk3Tv3h0HBwemTp162+/E1taWjz76iJdffpmWLVtia2vLU089xRtvvAFc/7K+U6dOsXHjRuB6+463336bAQMG8MQTT9C8efObYiYlJTFs2DA6duxo+lK6119/3fTcYDCwefNmJk6cyODBgzlz5gwuLi506NDB1FtaRERERERE5H5kuPbb5o4iIiLyh+Xn5+Pg4EBeXh729vYVnY6IiIiIiIg84Mr7e6h6CIuIiIiIiIiIiIj8SaggLCIiIiIiIiIiIvInoYKwiEglk5qaisFg4Ny5c6WOiYmJwd/f/46um5ycjKOj4x2NeTcYDAZSUlJM1//9739p3bo11tbWd/ydiIiIiIiIiDxoVBAWEalAQUFBjB49+rbnRUVFsX379juay9NPP83x48fvaMx7YfLkydjZ2XHs2LE7/k5EREREREREHjRVKzoBERG5fUajEaPReEdj2tjYYGNjc0dj3guZmZmEhobi7u5e0amIiFR6HhM2VXQKcp/Lig+t6BRERETkD9IJYRGRcggKCmLkyJGMHj0aJycnnJ2dWbx4MRcuXGDw4MFUr14dT09PPvzwQ7N5hw8fpmvXrhiNRpydnQkLC+Ps2bMAREREsHPnTubMmYPBYMBgMJCVlWWau3//flq0aIGtrS1t27bl2LFjpme/bRlRXFzMlClTeOihh7CyssLf358tW7aYnmdlZWEwGFi/fj2PPfYYtra2NG/enF27dpnG/LZlxI01Vq5ciYeHBw4ODvTv35/z58+brRsXF0eDBg2wsbGhefPmvPPOO2W+y/nz5+Pl5YW1tTXOzs706dPH9MzDw4PZs2ebjff39ycmJqbEWAaDgf379zNlyhQMBoNp3KFDh+jUqRM2NjbUrFmT5557joKCAtO8iIgIevbsyaxZs3B1daVmzZqMGDGCK1eumMYUFhYSFRVFvXr1sLOz45FHHiE1NbXMvYmIiIiIiIhUdioIi4iU0/Lly6lVqxZ79uxh5MiRvPjii/Tt25e2bdty4MABnnjiCcLCwrh48SIA586do1OnTgQEBLBv3z62bNnCDz/8QL9+/QCYM2cObdq0Yfjw4eTk5JCTk4Obm5tpvYkTJ5KYmMi+ffuoWrUqQ4YMKTW3OXPmkJiYyKxZszh48CDBwcE8+eSTfP3112bjJk6cSFRUFOnp6Xh7ezNgwACuXr1aatzMzExSUlLYuHEjGzduZOfOncTHx5uex8XFsWLFChYuXMhXX33FmDFjePbZZ9m5c2eJ8fbt28eoUaOYMmUKx44dY8uWLXTo0OHWL78UOTk5NGvWjLFjx5KTk0NUVBQXLlwgODgYJycn9u7dy7p169i2bRuRkZFmc3fs2EFmZiY7duxg+fLlJCcnk5ycbHoeGRnJrl27WLt2LQcPHqRv376EhITc9E5vKCwsJD8/3+wjIiIiIiIiUtmoICwiUk7Nmzfntddew8vLi+joaKytralVqxbDhw/Hy8uLSZMm8eOPP3Lw4EEA5s2bR0BAADNmzKBJkyYEBASwbNkyduzYwfHjx3FwcMDS0hJbW1tcXFxwcXHBwsLCtN706dPp2LEjTZs2ZcKECXzxxRdcunSpxNxmzZrF+PHj6d+/P40bNyYhIQF/f/+bTttGRUURGhqKt7c3sbGxnDp1ihMnTpS65+LiYpKTk/nLX/5C+/btCQsLM/XpLSwsZMaMGSxbtozg4GAaNmxIREQEzz77LIsWLSoxXnZ2NnZ2dnTv3h13d3cCAgIYNWrU7fxnMOPi4kLVqlUxGo24uLhgNBpZvXo1ly5dYsWKFfzlL3+hU6dOzJs3j5UrV/LDDz+Y5jo5OTFv3jyaNGlC9+7dCQ0NNe0tOzubpKQk1q1bR/v27WnUqBFRUVE8+uijJCUllZhLXFwcDg4Ops+vi/siIiIiIiIilYUKwiIi5eTn52f62cLCgpo1a+Lr62u65+zsDEBubi4AGRkZ7Nixw9Tv12g00qRJE+D6ydvbWc/V1dUs9q/l5+fz3Xff0a5dO7P77dq14+jRo78r5g0eHh5Ur17dbM6N8SdOnODixYt06dLFbI8rVqwodX9dunTB3d2dhg0bEhYWxqpVq0wnqu+Uo0eP0rx5c+zs7Ez32rVrR3FxsVnbjWbNmpkV4H+9t0OHDlFUVIS3t7fZ3nbu3Fnq3qKjo8nLyzN9Tp8+fUf3JSIiIiIiInIn6EvlRETKqVq1ambXBoPB7J7BYACun6oFKCgooEePHiQkJNwU60Yxtrzr/Tb273W7MUva86/3B7Bp0ybq1atnNs7KyqrEeNWrV+fAgQOkpqby8ccfM2nSJGJiYti7dy+Ojo5UqVKFa9eumc35dV/fO+lWe7OwsGD//v1mRWOg1C/zs7KyKnXfIiIiIiIiIpWFCsIiIndJYGAg7777Lh4eHlStWvIft5aWlhQVFf2hdezt7albty5paWl07NjRdD8tLY1WrVr9odhladq0KVZWVmRnZ5uteytVq1alc+fOdO7cmcmTJ+Po6Mgnn3xC7969qV27Njk5Oaax+fn5nDx58rby8vHxITk5mQsXLphOCaelpVGlShUaN25crhgBAQEUFRWRm5tL+/btb2t9ERERERERkcpMBWERkbtkxIgRLF68mAEDBjBu3Dhq1KjBiRMnWLt2LUuWLMHCwgIPDw92795NVlYWRqORGjVq/K61Xn31VSZPnkyjRo3w9/cnKSmJ9PR0Vq1adYd39X+qV69OVFQUY8aMobi4mEcffZS8vDzS0tKwt7cnPDz8pjkbN27km2++oUOHDjg5ObF582aKi4tNhdpOnTqRnJxMjx49cHR0ZNKkSTed0L2VgQMHMnnyZMLDw4mJieHMmTOMHDmSsLAwU1uPW/H29mbgwIEMGjSIxMREAgICOHPmDNu3b8fPz4/Q0NDbyklEpLLIitefXyIiIiJ/dioIi4jcJTdO7Y4fP54nnniCwsJC3N3dCQkJoUqV6y3co6KiCA8Pp2nTpvzyyy+3fRr2hlGjRpGXl8fYsWPJzc2ladOmbNiwAS8vrzu5pZtMnTqV2rVrExcXxzfffIOjoyOBgYH87W9/K3G8o6Mj69evJyYmhkuXLuHl5cWaNWto1qwZcL0P78mTJ+nevTsODg5MnTr1tt+Jra0tH330ES+//DItW7bE1taWp556ijfeeOO24iQlJTFt2jTGjh3L//73P2rVqkXr1q3p3r37bcURERERERERqUwM137brFFERET+sPz8fBwcHMjLy8Pe3r6i0xEREREREZEHXHl/D61yD3MSERERERERERERkQqkgrCIiNwTqampGAwGzp07V+qYmJgY/P397+i6ycnJODo63tGYIiIiIiIiIvcrFYRFROSOCwoKYvTo0bc9Lyoqiu3bt9/RXJ5++mmOHz9+R2OKiIiIiIiI3K/0pXIiIlJpGI1GjEbjHY1pY2ODjY3NHY0pInK/8piwqaJTkDsgKz60olMQERGR+5hOCIuI/MkFBQUxcuRIRo8ejZOTE87OzixevJgLFy4wePBgqlevjqenJx9++KFpzuHDh+natStGoxFnZ2fCwsI4e/YsABEREezcuZM5c+ZgMBgwGAxkZWWZ5u7fv58WLVpga2tL27ZtOXbsmOnZb1tGFBcXM2XKFB566CGsrKzw9/dny5YtpudZWVkYDAbWr1/PY489hq2tLc2bN2fXrl2mMb9tGXFjjZUrV+Lh4YGDgwP9+/fn/PnzZuvGxcXRoEEDbGxsaN68Oe+8886deN0iIiIiIiIiFUoFYRERYfny5dSqVYs9e/YwcuRIXnzxRfr27Uvbtm05cOAATzzxBGFhYVy8eJFz587RqVMnAgIC2LdvH1u2bOGHH36gX79+AMyZM4c2bdowfPhwcnJyyMnJwc3NzbTWxIkTSUxMZN++fVStWpUhQ4aUmtecOXNITExk1qxZHDx4kODgYJ588km+/vprs3ETJ04kKiqK9PR0vL29GTBgAFevXi01bmZmJikpKWzcuJGNGzeyc+dO4uPjTc/j4uJYsWIFCxcu5KuvvmLMmDE8++yz7Ny58/e+YhEREREREZFKQS0jRESE5s2b89prrwEQHR1NfHw8tWrVYvjw4QBMmjSJBQsWcPDgQbZt20ZAQAAzZswwzV+2bBlubm4cP34cb29vLC0tsbW1xcXF5aa1pk+fTseOHQGYMGECoaGhXLp0CWtr65vGzpo1i/Hjx9O/f38AEhIS2LFjB7Nnz+Yf//iHaVxUVBShodf/+WxsbCzNmjXjxIkTNGnSpMT9FhcXk5ycTPXq1QEICwtj+/btTJ8+ncLCQmbMmMG2bdto06YNAA0bNuTzzz9n0aJFptx/q7CwkMLCQtN1fn5+ieNEREREREREKpIKwiIigp+fn+lnCwsLatasia+vr+mes7MzALm5uWRkZLBjx44Se/1mZmbi7e1d7rVcXV1NcevXr282Lj8/n++++4527dqZ3W/Xrh0ZGRnlillaQdjDw8NUDL4xJzc3F4ATJ05w8eJFunTpYjbn8uXLBAQElLqvuLg4YmNjS30uIiIiIiIiUhmoICwiIlSrVs3s2mAwmN0zGAzA9ZO1BQUF9OjRg4SEhJvi3CjGlnetX8f9I243Zkn7vTG+oKAAgE2bNlGvXj2zcVZWVqXGjI6O5pVXXjFd5+fnm7XKEBEREREREakMVBAWEZHbEhgYyLvvvouHhwdVq5b814ilpSVFRUV/aB17e3vq1q1LWlqaWZuGtLQ0WrVq9Ydil6Vp06ZYWVmRnZ1danuIklhZWZVZMBYRERERERGpDFQQFhGR2zJixAgWL17MgAEDGDduHDVq1ODEiROsXbuWJUuWYGFhgYeHB7t37yYrKwuj0UiNGjV+11qvvvoqkydPplGjRvj7+5OUlER6ejqrVq26w7v6P9WrVycqKooxY8ZQXFzMo48+Sl5eHmlpadjb2xMeHn7X1hYRuduy4kMrOgURERERqWAqCIuIyG25cWp3/PjxPPHEExQWFuLu7k5ISAhVqlQBrn/JW3h4OE2bNuWXX37h5MmTv2utUaNGkZeXx9ixY8nNzaVp06Zs2LABLy+vO7mlm0ydOpXatWsTFxfHN998g6OjI4GBgfztb3+7q+uKiIiIiIiI3G2Ga9euXavoJERERB40+fn5ODg4kJeXh729fUWnIyIiIiIiIg+48v4eWuUe5iQiIiIiIiIiIiIiFUgFYREREREREREREZE/CRWERUSkUgoKCmL06NF/OE5MTAz+/v5/OI6IiIiIiIjIg0AFYREReaBFRUWxffv2ik5DREREREREpFKoWtEJiIiI3E1GoxGj0VjRaYiIVAoeEzZVdAryO2TFh1Z0CiIiIvIA0QlhERGp1KZMmcJf/vKXm+77+/vz+uuvA5CamkqrVq2ws7PD0dGRdu3acerUKeDmlhERERH07NmTWbNm4erqSs2aNRkxYgRXrlwxjSksLCQqKop69ephZ2fHI488Qmpq6l3dp4iIiIiIiMi9oIKwiIhUakOGDOHo0aPs3bvXdO/LL7/k4MGDDB48mKtXr9KzZ086duzIwYMH2bVrF8899xwGg6HUmDt27CAzM5MdO3awfPlykpOTSU5ONj2PjIxk165drF27loMHD9K3b19CQkL4+uuv7+ZWRURERERERO46tYwQEZFK7aGHHiI4OJikpCRatmwJQFJSEh07dqRhw4b89NNP5OXl0b17dxo1agSAj49PmTGdnJyYN28eFhYWNGnShNDQULZv387w4cPJzs4mKSmJ7Oxs6tatC1zvQ7xlyxaSkpKYMWNGiTELCwspLCw0Xefn59+J7YuIiIiIiIjcUTohLCIild7w4cNZs2YNly5d4vLly6xevZohQ4YAUKNGDSIiIggODqZHjx7MmTOHnJycMuM1a9YMCwsL07Wrqyu5ubkAHDp0iKKiIry9vU39h41GIzt37iQzM7PUmHFxcTg4OJg+bm5ud2DnIiIiIiIiIneWTgiLiEil16NHD6ysrHjvvfewtLTkypUr9OnTx/Q8KSmJUaNGsWXLFv71r3/x2muvsXXrVlq3bl1ivGrVqpldGwwGiouLASgoKMDCwoL9+/ebFY2BMr+cLjo6mldeecV0nZ+fr6KwiIiIiIiIVDoqCIuISKVXtWpVwsPDSUpKwtLSkv79+2NjY2M2JiAggICAAKKjo2nTpg2rV68utSBcloCAAIqKisjNzaV9+/blnmdlZYWVldVtryciIiIiIiJyL6kgLCIi94Vhw4aZegOnpaWZ7p88eZK3336bJ598krp163Ls2DG+/vprBg0a9LvW8fb2ZuDAgQwaNIjExEQCAgI4c+YM27dvx8/Pj9DQ0DuyHxGRipAVrz/DRERERP7sVBAWEZH7gpeXF23btuWnn37ikUceMd23tbXlv//9L8uXL+fHH3/E1dWVESNG8Pzzz//utZKSkpg2bRpjx47lf//7H7Vq1aJ169Z07979TmxFREREREREpMIYrl27dq2ikxAREbmVa9eu4eXlxUsvvWTWq7eyys/Px8HBgby8POzt7Ss6HREREREREXnAlff3UJ0QFhGRSu/MmTOsXbuW77//nsGDB1d0OiIiIiIiIiL3LRWERUSk0qtTpw61atXi7bffxsnJqaLTEREREREREblvVanoBERE5M8lKCiI0aNH39aca9eucebMGZ555pnbXs9gMJCSknLb80REREREREQeRDohLCIiD7ScnBydKhYRERERERH5/1QQFhGRB5qLi0tFpyAiUml4TNhU6rOs+NB7mImIiIiIVBS1jBARkQpTWFhIVFQU9erVw87OjkceeYTU1FTT85iYGPz9/c3mzJ49Gw8PD7N7y5Yto1mzZlhZWeHq6kpkZKTp2a9bRmRlZWEwGFi/fj2PPfYYtra2NG/enF27dpnF+/zzz2nfvj02Nja4ubkxatQoLly4cCe3LiIiIiIiIlIhVBAWEZEKExkZya5du1i7di0HDx6kb9++hISE8PXXX5c7xoIFCxgxYgTPPfcchw4dYsOGDXh6epY5Z+LEiURFRZGeno63tzcDBgzg6tWrAGRmZhISEsJTTz3FwYMH+de//sXnn39uVmQWERERERERuV+pZYSIiFSI7OxskpKSyM7Opm7dugBERUWxZcsWkpKSmDFjRrniTJs2jbFjx/Lyyy+b7rVs2bLMOVFRUYSGXv+n0bGxsTRr1owTJ07QpEkT4uLiGDhwoOmL77y8vJg7dy4dO3ZkwYIFWFtblxizsLCQwsJC03V+fn658hcRERERERG5l1QQFhGRCnHo0CGKiorw9vY2u19YWEjNmjXLFSM3N5fvvvuOxx9//LbW9vPzM/3s6upqitWkSRMyMjI4ePAgq1atMo25du0axcXFnDx5Eh8fnxJjxsXFERsbe1t5iIiIiIiIiNxrKgiLiEiFKCgowMLCgv3792NhYWH2zGg0AlClShWuXbtm9uzKlSumn21sbH7X2tWqVTP9bDAYACguLjbl9fzzzzNq1Kib5tWvX7/UmNHR0bzyyium6/z8fNzc3H5XfiIiIiIiIiJ3iwrCIiJSIQICAigqKiI3N5f27duXOKZ27dp8//33XLt2zVS4TU9PNz2vXr06Hh4ebN++nccee+yO5BUYGMiRI0du2Yf4t6ysrLCysrojOYiIiIiIiIjcLSoIi4hIhfD29mbgwIEMGjSIxMREAgICOHPmDNu3b8fPz4/Q0FCCgoI4c+YMM2fOpE+fPmzZsoUPP/wQe3t7U5yYmBheeOEF6tSpQ9euXTl//jxpaWmMHDnyd+U1fvx4WrduTWRkJMOGDcPOzo4jR46wdetW5s2bd6e2LyJSIbLiQys6BRERERGpYFUqOgEREfnzSkpKYtCgQYwdO5bGjRvTs2dP9u7da2rN4OPjw/z58/nHP/5B8+bN2bNnD1FRUWYxwsPDmT17NvPnz6dZs2Z0796dr7/++nfn5Ofnx86dOzl+/Djt27cnICCASZMmmb74TkREREREROR+Zrj22+aMIiIi8ofl5+fj4OBAXl6e2YlmERERERERkbuhvL+H6oSwiIiIiIiIiIiIyJ+ECsIiIiIiIiIiIiIifxIqCIuICEFBQYwePbqi07grIiIi6NmzZ0WnISIiIiIiIlIpVK3oBERERO6mOXPmoHb5IiIiIiIiItepICwiIpVOUVERBoOBKlX++D9kcXBwuAMZiYjcWx4TNt2VuFnxoXclroiIiIjcP9QyQkREbrJp0yYcHBwwGAxERkaaPTtz5gyWlpZs374dAA8PD2bMmMGQIUOoXr069evX5+233zaNT01NxWAwcO7cOdO99PR0DAYDWVlZACQnJ+Po6MiGDRto2rQpVlZWZGdnU1hYSFRUFPXq1cPOzo5HHnmE1NRUU5wb8z766CN8fHwwGo2EhISQk5NjGvPblhFBQUGMGjWKcePGUaNGDVxcXIiJiTHb47lz5xg2bBi1a9fG3t6eTp06kZGR8cdeqoiIiIiIiEgloIKwiIiYWb16NQMGDGDVqlWsWrWK1atXU1hYaHr+z3/+k3r16tGpUyfTvcTERFq0aMGXX37JSy+9xIsvvsixY8dua92LFy+SkJDAkiVL+Oqrr6hTpw6RkZHs2rWLtWvXcvDgQfr27UtISAhff/212bxZs2axcuVKPv30U7Kzs4mKiipzreXLl2NnZ8fu3buZOXMmU6ZMYevWrabnffv2JTc3lw8//JD9+/cTGBjI448/zk8//XRbexIRERERERGpbFQQFhERk3/84x+89NJLfPDBB3Tv3p3evXsD8P7775vGJCcnExERgcFgMN3r1q0bL730Ep6enowfP55atWqxY8eO21r7ypUrzJ8/n7Zt29K4cWPOnj1LUlIS69ato3379jRq1IioqCgeffRRkpKSzOYtXLiQFi1aEBgYSGRkpOn0cmn8/PyYPHkyXl5eDBo0iBYtWpjmfP755+zZs4d169bRokULvLy8mDVrFo6OjrzzzjulxiwsLCQ/P9/sIyIiIiIiIlLZqIewiIgA8M4775Cbm0taWhotW7YEwNramrCwMJYtW0a/fv04cOAAhw8fZsOGDWZz/fz8TD8bDAZcXFzIzc29rfUtLS3N4hw6dIiioiK8vb3NxhUWFlKzZk3Tta2tLY0aNTJdu7q63nLtX6/z2zkZGRkUFBSYrQHwyy+/kJmZWWrMuLg4YmNjy1xXREREREREpKKpICwiIgAEBARw4MABli1bRosWLUwngIcNG4a/vz/ffvstSUlJdOrUCXd3d7O51apVM7s2GAwUFxcDmL4Y7tq1a6bnV65cuWl9Gxsbs1PHBQUFWFhYsH//fiwsLMzGGo3GMtf+9VolKSvfgoICXF1dzXoV3+Do6FhqzOjoaF555RXTdX5+Pm5ubmXmISIiIiIiInKvqSAsIiIANGrUiMTERIKCgrCwsGDevHkA+Pr60qJFCxYvXszq1atN98urdu3aAOTk5ODk5ARc/1K5WwkICKCoqIjc3Fzat29/e5v5AwIDA/n++++pWrUqHh4e5Z5nZWWFlZXV3UtMRERERERE5A5QQVhEREy8vb3ZsWMHQUFBVK1aldmzZwPXTwlHRkZiZ2dHr169biump6cnbm5uxMTEMH36dI4fP05iYmK5chk4cCCDBg0iMTGRgIAAzpw5w/bt2/Hz8yM0NPT3bPGWOnfuTJs2bejZsyczZ87E29ub7777jk2bNtGrVy9atGhxV9YVEfm1rPi782eciIiIiIi+VE5ERMw0btyYTz75hDVr1jB27FgABgwYQNWqVRkwYADW1ta3Fa9atWqsWbOG//73v/j5+ZGQkMC0adPKNTcpKYlBgwYxduxYGjduTM+ePdm7dy/169e/7X2Vl8FgYPPmzXTo0IHBgwfj7e1N//79OXXqFM7OzndtXREREREREZF7wXDtVo0WRUTkTy8rK4tGjRqxd+9eAgMDKzqd+0J+fj4ODg7k5eVhb29f0emIiIiIiIjIA668v4eqZYSIiJTqypUr/Pjjj7z22mu0bt1axWARERERERGR+5xaRoiISKnS0tJwdXVl7969LFy4sKLTEREREREREZE/SCeERUT+xIKCgvD39zd9eVxJz9VZSEREREREROTBoRPCIiLyp2UwGEhJSanoNERERERERETuGZ0QFhGRSqOoqAiDwUCVKvr/K0VE7gaPCZsqOoXblhUfWtEpiIiIiDxQ9Bu3iIiYbNq0CQcHBwwGA5GRkWbPzpw5g6WlJdu3bwfAw8ODGTNmMGTIEKpXr079+vV5++23TeNTU1MxGAycO3fOdC89PR2DwUBWVhYAycnJODo6smHDBpo2bYqVlRXZ2dkUFhYSFRVFvXr1sLOz45FHHiE1NdUU58a8jz76CB8fH4xGIyEhIeTk5JjG7N27ly5dulCrVi0cHBzo2LEjBw4cMD338PAAoFevXhgMBtM1wPvvv09gYCDW1tY0bNiQ2NhYrl69+gffroiIiIiIiEjFU0FYREQAWL16NQMGDGDVqlWsWrWK1atXU1hYaHr+z3/+k3r16tGpUyfTvcTERFq0aMGXX37JSy+9xIsvvsixY8dua92LFy+SkJDAkiVL+Oqrr6hTpw6RkZHs2rWLtWvXcvDgQfr27UtISAhff/212bxZs2axcuVKPv30U7Kzs4mKijI9P3/+POHh4Xz++ef85z//wcvLi27dunH+/HngesEYICkpiZycHNP1Z599xqBBg3j55Zc5cuQIixYtIjk5menTp5e5j8LCQvLz880+IiIiIiIiIpWNCsIiIsI//vEPXnrpJT744AO6d+9O7969gesnZW9ITk4mIiICg8FgutetWzdeeuklPD09GT9+PLVq1WLHjh23tfaVK1eYP38+bdu2pXHjxpw9e5akpCTWrVtH+/btadSoEVFRUTz66KMkJSWZzVu4cCEtWrQgMDCQyMhI0+llgE6dOvHss8/SpEkTfHx8ePvtt7l48SI7d+4EoHbt2gA4Ojri4uJiuo6NjWXChAmEh4fTsGFDunTpwtSpU1m0aFGZ+4iLi8PBwcH0cXNzu633ICIiIiIiInIvqIewiMif3DvvvENubi5paWm0bNkSAGtra8LCwli2bBn9+vXjwIEDHD58mA0bNpjN9fPzM/1sMBhwcXEhNzf3tta3tLQ0i3Po0CGKiorw9vY2G1dYWEjNmjVN17a2tjRq1Mh07erqarb2Dz/8wGuvvUZqaiq5ubkUFRVx8eJFsrOzy8wnIyODtLQ0sxPBRUVFXLp0iYsXL2Jra1vivOjoaF555RXTdX5+vorCIiIiIiIiUumoICwi8icXEBDAgQMHWLZsGS1atDCdAB42bBj+/v58++23JCUl0alTJ9zd3c3mVqtWzezaYDBQXFwMYPpiuGvXrpmeX7ly5ab1bWxszE4dFxQUYGFhwf79+7GwsDAbazQay1z712uFh4fz448/MmfOHNzd3bGysqJNmzZcvny5zPdRUFBAbGys6ZT0r1lbW5c6z8rKCisrqzJji4iIiIiIiFQ0FYRFRP7kGjVqRGJiIkFBQVhYWDBv3jwAfH19adGiBYsXL2b16tWm++V1owVDTk4OTk5OwPUvlbuVgIAAioqKyM3NpX379re3mV9JS0tj/vz5dOvWDYDTp09z9uxZszHVqlWjqKjI7F5gYCDHjh3D09Pzd68tIiIiIiIiUlmpICwiInh7e7Njxw6CgoKoWrUqs2fPBq6fEo6MjMTOzo5evXrdVkxPT0/c3NyIiYlh+vTpHD9+nMTExHLlMnDgQAYNGkRiYiIBAQGcOXOG7du34+fnR2hoaLnW9/LyYuXKlbRo0YL8/HxeffVVbGxszMZ4eHiwfft22rVrh5WVFU5OTkyaNInu3btTv359+vTpQ5UqVcjIyODw4cNMmzbttt6BiEhlkxVfvj9DRUREROTBpS+VExERABo3bswnn3zCmjVrGDt2LAADBgygatWqDBgwoMx2CSWpVq0aa9as4b///S9+fn4kJCSUu6CalJTEoEGDGDt2LI0bN6Znz57s3buX+vXrl3v9pUuX8vPPPxMYGEhYWBijRo2iTp06ZmMSExPZunUrbm5uBAQEABAcHMzGjRv5+OOPadmyJa1bt+bNN9+8qV2GiIiIiIiIyP3IcO3XDRdFRER+JSsri0aNGrF3714CAwMrOp37Sn5+Pg4ODuTl5WFvb1/R6YiIiIiIiMgDrry/h6plhIiI3OTKlSv8+OOPvPbaa7Ru3VrFYBEREREREZEHhFpGiIjITdLS0nB1dWXv3r0sXLiwotMRERERERERkTtEBWERkXskKCiI0aNHV3QaACQnJ+Po6Fjq86CgIK5du8axY8fw9fX9Q2sZDAZSUlLKPT41NRWDwcC5c+f+0Lo3xMTE4O/vf0diiYiIiIiIiNzv1DJCROQeWb9+PdWqVavoNP50oqKiGDlyZEWnISIiIiIiIlIpqCAsInKP1KhRo6JTuKOuXLlyXxS4jUYjRqOxotMQEakUPCZsqugURCqFrPjQik5BRESkwqhlhIjIPfLrlhHz58/Hy8sLa2trnJ2d6dOnj2lcYWEho0aNok6dOlhbW/Poo4+yd+9eAIqLi3nooYdYsGCBWewvv/ySKlWqcOrUKQDeeOMNfH19sbOzw83NjZdeeomCgoIy83v//fcJDAzE2tqahg0bEhsby9WrV03PDQYDCxYs4Mknn8TOzo5p06bh6enJrFmzzOKkp6djMBg4ceJEiet88cUX+Pv7Y21tTYsWLUhJScFgMJCenn7T2AsXLmBvb88777xjdj8lJQU7OzvOnz8PwLfffsuAAQOoUaMGdnZ2tGjRgt27dwM3t4yIiIigZ8+ezJo1C1dXV2rWrMmIESO4cuWKaUxhYSFRUVHUq1cPOzs7HnnkEVJTU8t8fyIiIiIiIiL3AxWERUTusX379jFq1CimTJnCsWPH2LJlCx06dDA9HzduHO+++y7Lly/nwIEDeHp6EhwczE8//USVKlUYMGAAq1evNou5atUq2rVrh7u7OwBVqlRh7ty5fPXVVyxfvpxPPvmEcePGlZrTZ599xqBBg3j55Zc5cuQIixYtIjk5menTp5uNi4mJoVevXhw6dIihQ4cyZMgQkpKSzMYkJSXRoUMHPD09b1onPz+fHj164Ovry4EDB5g6dSrjx48vNS87Ozv69+9f4hp9+vShevXqFBQU0LFjR/73v/+xYcMGMjIyGDduHMXFxaXG3bFjB5mZmezYsYPly5eTnJxMcnKy6XlkZCS7du1i7dq1HDx4kL59+xISEsLXX39daszCwkLy8/PNPiIiIiIiIiKVjQrCIiL3WHZ2NnZ2dnTv3h13d3cCAgIYNWoUcP1E7IIFC/j73/9O165dadq0KYsXL8bGxoalS5cCMHDgQNLS0sjOzgaunxpeu3YtAwcONK0xevRoHnvsMTw8POjUqRPTpk3j3//+d6k5xcbGMmHCBMLDw2nYsCFdunRh6tSpLFq0yGzcM888w+DBg2nYsCH169cnIiKCY8eOsWfPHuB6G4nVq1czZMiQEtdZvXo1BoOBxYsX07RpU7p27cqrr75a5vsaNmwYH330ETk5OQDk5uayefNm0xqrV6/mzJkzpKSk8Oijj+Lp6Um/fv1o06ZNqTGdnJyYN28eTZo0oXv37oSGhrJ9+3bg+n+fpKQk1q1bR/v27WnUqBFRUVE8+uijNxWmfy0uLg4HBwfTx83Nrcx9iYiIiIiIiFQEFYRFRO6xLl264O7uTsOGDQkLC2PVqlVcvHgRgMzMTK5cuUK7du1M46tVq0arVq04evQoAP7+/vj4+JhOCe/cuZPc3Fz69u1rmrNt2zYef/xx6tWrR/Xq1QkLC+PHH380rfNbGRkZTJkyxdRv12g0Mnz4cHJycszmtGjRwmxe3bp1CQ0NZdmyZQB88MEHFBYWmuXya8eOHcPPzw9ra2vTvVatWpX5vlq1akWzZs1Yvnw5AP/85z9xd3c3napOT08nICDgtno0N2vWDAsLC9O1q6srubm5ABw6dIiioiK8vb3N3sfOnTvJzMwsNWZ0dDR5eXmmz+nTp8udj4iIiIiIiMi9ooKwiMg9Vr16dQ4cOMCaNWtwdXVl0qRJNG/enHPnzpU7xsCBA00F4dWrVxMSEkLNmjUByMrKonv37vj5+fHuu++yf/9+/vGPfwBw+fLlEuMVFBQQGxtLenq66XPo0CG+/vprs+KtnZ3dTXOHDRvG2rVr+eWXX0hKSuLpp5/G1ta23Hspj2HDhplaOiQlJTF48GAMBgMANjY2tx3vt1+GZzAYTC0mCgoKsLCwYP/+/Wbv4+jRo8yZM6fUmFZWVtjb25t9RERERERERCobFYRFRCpA1apV6dy5MzNnzuTgwYNkZWXxySef0KhRIywtLUlLSzONvXLlCnv37qVp06ame8888wyHDx9m//79vPPOO2btIvbv309xcTGJiYm0bt0ab29vvvvuuzLzCQwM5NixY3h6et70qVKl7L8qunXrhp2dHQsWLGDLli2ltosAaNy4MYcOHaKwsNB078YX5pXl2Wef5dSpU8ydO5cjR44QHh5ueubn50d6ejo//fTTLeOUR0BAAEVFReTm5t70LlxcXO7IGiIiIiIiIiIVpWpFJyAi8mezceNGvvnmGzp06ICTkxObN2+muLiYxo0bY2dnx4svvsirr75KjRo1qF+/PjNnzuTixYsMHTrUFMPDw4O2bdsydOhQioqKePLJJ03PPD09uXLlCm+99RY9evQgLS2NhQsXlpnTpEmT6N69O/Xr16dPnz5UqVKFjIwMDh8+zLRp08qca2FhQUREBNHR0Xh5eZXZu/eZZ55h4sSJPPfcc0yYMIHs7GxmzZoFYDrxWxInJyd69+7Nq6++yhNPPMFDDz1kejZgwABmzJhBz549iYuLw9XVlS+//JK6deuWmUtpvL29GThwIIMGDSIxMZGAgADOnDnD9u3b8fPzIzQ09LZjiohUFlnx+jNMRERE5M9OJ4RFRO4xR0dH1q9fT6dOnfDx8WHhwoWsWbOGZs2aARAfH89TTz1FWFgYgYGBnDhxgo8++ggnJyezOAMHDiQjI4NevXqZtU1o3rw5b7zxBgkJCfzlL39h1apVxMXFlZlTcHAwGzdu5OOPP6Zly5a0bt2aN998E3d393LtaejQoVy+fJnBgweXOc7e3p4PPviA9PR0/P39mThxIpMmTQIwa01R1hq/PYFsaWnJxx9/TJ06dejWrRu+vr7Ex8eb9Qi+XUlJSQwaNIixY8fSuHFjevbsyd69e6lfv/7vjikiIiIiIiJSGRiuXbt2raKTEBGR+9tnn33G448/zunTp3F2dr6tuatWrWLw4MHk5eWV2Q945cqVjBkzhu+++w5LS8s/mvJdl5+fj4ODA3l5eeonLCIiIiIiInddeX8PVcsIERH53QoLCzlz5gwxMTH07du3XMXgFStW0LBhQ+rVq0dGRgbjx4+nX79+pRaDL168SE5ODvHx8Tz//PP3RTFYREREREREpLJSywgREfnd1qxZg7u7O+fOnWPmzJnlmvP999/z7LPP4uPjw5gxY+jbty9vv/12qeNnzpxJkyZNcHFxITo6+k6lLiIiIiIiIvKnpJYRInJfCgoKwt/fn9mzZ1d0KgAkJyczevRozp07d9fXMhgMvPfee/Ts2fOur1WWiIgIzp07R0pKSqljUlNTeeyxx/j5559xdHS8q/n8+OOP+Pj4sGfPHjw8PO5o7P79+9OyZUvGjh1b7jlqGSEiIiIiIiL3Unl/D9UJYRG5L61fv56pU6dWdBp/anPmzCE5Odl0HRQUxOjRo83GtG3blpycHBwcHO56PtOnT+evf/1/7N19WM/3////6yt0olcnMiqUnCQ5iRKGOZmxWpiTGTNv9BYb3s2MhI8h5yeTsxkzrPBm2JuZYTYaZs2c15jWaEtsjb2Hkr2F6veHn+d3r1XkNOx2OY7ncfR8Ph+P++P+fHYc63jdPXZ/dcxXDF63bh2tWrXCyckJs9mMn58fEyZM4Ny5c8D1orXJZMp3/Prrr0aMN998k8mTJ5ORkXHfn0NERERERETkflIPYRF5JLm4uBR3Cvfc1atXKVWqVHGnwZUrV4rUp7coRV5ra2vc3NzuRVo39ccff7B06VI+++wzi+ujR49m+vTpvPHGG0yZMoUKFSpw/Phx3n33XVasWMHrr79ujE1OTrb4F9Ty5csbP9epU4dq1arx73//m3/961/3/XlERO4Xr5GbizuFR17qtHbFnYKIiIjIXdEOYRF5JP11N+qCBQvw9vbG1tYWV1dXunbtatzLzs5m8ODBlC9fHltbW5566in2798PQG5uLpUqVWLhwoUW8Q8fPoyVlRUnT54EYNasWdStWxd7e3s8PDwYNGgQWVlZN83x448/JiAgAFtbW6pWrcr48eO5du2acd9kMrFw4UKef/557O3tmTRpEtWrV2fmzJkWcRISEjCZTJw4caLAdU6fPk2PHj1wcXHB3t6ewMBA9u7dC0BKSgodO3bE1dUVs9lMw4YN2b59u8V8Ly8vJk6cSO/evXF0dOSVV14hNjYWZ2dnPvvsM3x9fTGbzQQHB5Oenm7MCw0NNdpWhIaGsmvXLubOnWvssE1NTTV2395opVGUuABLlizB19cXW1tbatasyYIFC276rrds2YKNjQ1PPvmkcW3fvn1MmTKF6Oho3nrrLZo2bYqXlxdt27Zl3bp19OnTxyJG+fLlcXNzMw4rK8s/kR06dGD16tU3zUNERERERETkYaeCsIg88g4cOMDgwYOZMGECycnJbN26lRYtWhj3IyMjWbduHcuWLePQoUNUr16doKAgzp07h5WVFT169GDVqlUWMVeuXEmzZs2oXLkyAFZWVsybN4/vvvuOZcuW8cUXXxAZGVloTrt376Z37968/vrrHDt2jEWLFhEbG8vkyZMtxkVFRdG5c2eOHDlCWFgYffv2JSYmxmJMTEwMLVq0oHr16vnWycrKomXLlvz8889s3LiRxMREIiMjyc3NNe6HhIQQFxfH4cOHCQ4OpkOHDqSlpVnEmTlzJvXq1ePw4cOMGTMGuL7rdubMmaxYsYIvv/yStLQ0IiIiCnzeuXPn0qRJE/r37096ejrp6el4eHgUOPZWcVeuXMnYsWOZPHkySUlJTJkyhTFjxrBs2bKbvu8GDRpYXFu5ciVms5lBgwYVOOevPY3r16+Pu7s7bdu2JT4+Pt/4Ro0asW/fPrKzswuMl52dTWZmpsUhIiIiIiIi8rBRQVhEHnlpaWnY29vTvn17KleujL+/P4MHDwbg0qVLLFy4kLfeeovnnnuOWrVqsXjxYuzs7Fi6dCkAPXv2JD4+3iiS5ubmsnr1anr27GmsMWTIEJ5++mm8vLxo3bo1kyZNYu3atYXmNH78eEaOHEmfPn2oWrUqbdu2ZeLEiSxatMhi3Msvv8w///lPqlatiqenJ6GhoSQnJ7Nv3z7gehuJVatW0bdv3wLXWbVqFb/99hsbNmzgqaeeonr16nTr1o0mTZoAUK9ePV599VXq1KmDt7c3EydOpFq1amzcuNEiTuvWrRk2bBjVqlWjWrVqxtrvvvsugYGBBAQEEB4eTlxcXIF5ODk5YW1tTenSpY0dtiVKlChw7K3ijhs3jujoaLp06UKVKlXo0qULb7zxRr5392cnT56kQoUKFteOHz9O1apVb9mGw93dnXfffZd169axbt06PDw8aNWqFYcOHbIYV6FCBa5cuWLRW/jPpk6dipOTk3EUVhAXERERERERKU7qISwij7y2bdtSuXJlqlatSnBwMMHBwXTu3JnSpUuTkpLC1atXadasmTG+VKlSNGrUiKSkJOD6zlBfX19WrVrFyJEj2bVrF2fPnuXFF1805mzfvp2pU6fy/fffk5mZybVr17h8+TJ//PEHpUuXzpdTYmIi8fHxFjuCc3Jy8s0JDAy0mFehQgXatWvH+++/T6NGjfjkk0/Izs62yOXPEhIS8Pf3L7SnclZWFlFRUWzevJn09HSuXbvG//73v3w7hP+aB0Dp0qWN4jBcL5yePXu2wHVux83iXrp0iZSUFMLCwujfv78x5tq1azftWfy///0PW1tbi2t5eXlFysfHxwcfHx/jvGnTpqSkpDB79mxWrFhhXLezswOu73AuyKhRoxg6dKhxnpmZqaKwiIiIiIiIPHS0Q1hEHnkODg4cOnSIDz74AHd3d8aOHUu9evWMvrVF0bNnT6NtxKpVqwgODqZs2bIApKam0r59e/z8/Fi3bh0HDx7knXfeAa5/AVtBsrKyGD9+PAkJCcZx5MgRjh8/blG4tLe3zze3X79+rF69mv/973/ExMTQvXv3AovO8P+KlIWJiIjgo48+YsqUKezevZuEhATq1q2bL++C8vjrzlqTyVTkIuvN3Czujb7Mixcvtnh3R48e5Ztvvik05hNPPMH58+ctrtWoUYMff/yRq1ev3naOjRo1ytez+dy5cwCUK1euwDk2NjY4OjpaHCIiIiIiIiIPGxWEReSxULJkSdq0acOMGTP49ttvSU1N5YsvvqBatWpYW1tb9IS9evUq+/fvp1atWsa1l19+maNHj3Lw4EH+85//WLSLOHjwILm5uURHR/Pkk09So0YNfvnll5vmExAQQHJyMtWrV893/PXLyv4qJCQEe3t7Fi5cyNatWwttFwHg5+dHQkKCUaz8q/j4eEJDQ+ncuTN169bFzc2N1NTUm65/p6ytrcnJybmrGK6urlSoUIEff/wx33urUqVKofP8/f05duyYxbWXX36ZrKysQr+Q7mb/YJCQkIC7u7vFtaNHj1KpUiWeeOKJoj+QiIiIiIiIyENGLSNE5JG3adMmfvzxR1q0aEGZMmXYsmULubm5+Pj4YG9vz8CBAxk+fDguLi54enoyY8YM/vjjD8LCwowYXl5eNG3alLCwMHJycnj++eeNe9WrV+fq1au8/fbbdOjQgfj4eN59992b5jR27Fjat2+Pp6cnXbt2xcrKisTERI4ePcqkSZNuOrdEiRKEhoYyatQovL29jX7ABenRowdTpkyhU6dOTJ06FXd3dw4fPkyFChVo0qQJ3t7erF+/ng4dOmAymRgzZozxhXP3mpeXF3v37iU1NRWz2VxoG4tbGT9+PIMHD8bJyYng4GCys7M5cOAA58+ft2jJ8GdBQUGMGjWK8+fPU6ZMGQAaN25MZGQkw4YN4+eff6Zz585UqFCBEydO8O677/LUU0/x+uuvM2fOHKpUqULt2rW5fPkyS5Ys4YsvvuDzzz+3WGP37t08++yzd/RMIiIPi9Rp7Yo7BREREREpZtohLCKPPGdnZ9avX0/r1q3x9fXl3Xff5YMPPqB27doATJs2jRdeeIFevXoREBDAiRMn+Oyzz4zC4Q09e/YkMTGRzp07W7RiqFevHrNmzWL69OnUqVOHlStXMnXq1JvmFBQUxKZNm/j8889p2LAhTz75JLNnz6Zy5cpFeqawsDCuXLnCP//5z5uOs7a25vPPP6d8+fKEhIRQt25dpk2bZnyh26xZsyhTpgxNmzalQ4cOBAUFERAQUKQcbldERAQlSpSgVq1alCtXLl+f4qLq168fS5YsISYmhrp169KyZUtiY2NvukO4bt26BAQE5Puiv+nTp7Nq1Sr27t1LUFAQtWvXZujQofj5+dGnTx/getuPYcOGGWslJiayfft2nnnmGSPO5cuX2bBhg0VfYxEREREREZFHkSnvXjSEFBGRe2r37t0888wznDp1CldX1+JO55GwefNmhg8fztGjR2/ZluN2LVy4kI8++ijfruGbyczMxMnJiYyMDPUTFhERERERkfuuqJ9D1TJCROQhkp2dzW+//UZUVBQvvviiisG3oV27dhw/fpyff/4ZDw+Pexq7VKlSvP322/c0poiIiIiIiEhx0A5hEZGHSGxsLGFhYdSvX5+NGzdSsWLF4k5J7pB2CIuIiIiIiMiDVNTPoeohLCLyEAkNDSUnJ4eDBw8+VMXgVq1aMWTIkLuOs3PnTkwmExcuXLjrWEUVFRVF/fr1H9h6IiIiIiIiIg8ztYwQEZFbWr9+PaVKlSruNO5IREQEr732WnGnISIiIiIiIvJQUEFYRERuycXFpbhTuGNmsxmz2VzcaYiIPBS8Rm4u7hTuWOq0dsWdgoiIiMhjQS0jRETklv7cMmLBggV4e3tja2uLq6srXbt2NcZlZ2czePBgypcvj62tLU899RT79++/aeyvvvqK5s2bY2dnh4eHB4MHD+bSpUvGfZPJxIYNGyzmODs7Exsba5yfPn2aHj164OLigr29PYGBgezduxfI3zIiNDSUTp06MXPmTNzd3Slbtiz/+te/uHr1qsVzREREULFiRezt7WncuDE7d+68vZcmIiIiIiIi8hBSQVhERIrswIEDDB48mAkTJpCcnMzWrVtp0aKFcT8yMpJ169axbNkyDh06RPXq1QkKCuLcuXMFxktJSSE4OJgXXniBb7/9ljVr1vDVV18RHh5e5JyysrJo2bIlP//8Mxs3biQxMZHIyEhyc3MLnbNjxw5SUlLYsWMHy5YtIzY21qLAHB4ezp49e1i9ejXffvstL774IsHBwRw/frzQmNnZ2WRmZlocIiIiIiIiIg8btYwQEZEiS0tLw97envbt2+Pg4EDlypXx9/cH4NKlSyxcuJDY2Fiee+45ABYvXsy2bdtYunQpw4cPzxdv6tSp9OzZ09h97O3tzbx582jZsiULFy7E1tb2ljmtWrWK3377jf379xutLapXr37TOWXKlGH+/PmUKFGCmjVr0q5dO+Li4ujfvz9paWnExMSQlpZGhQoVgOt9iLdu3UpMTAxTpkwpMObUqVMZP378LfMVERERERERKU7aISwiIkXWtm1bKleuTNWqVenVqxcrV67kjz/+AK7v9r169SrNmjUzxpcqVYpGjRqRlJRUYLzExERiY2ONPr9ms5mgoCByc3P56aefipRTQkIC/v7+t9XnuHbt2pQoUcI4d3d35+zZswAcOXKEnJwcatSoYZHXrl27SElJKTTmqFGjyMjIMI5Tp04VOR8RERERERGRB0U7hEVEpMgcHBw4dOgQO3fu5PPPP2fs2LFERUXdsk9wYbKysnj11VcZPHhwvnuenp7A9R7CeXl5Fvf+3O/Xzs7uttctVaqUxbnJZDJaTGRlZVGiRAkOHjxoUTQGbvrldDY2NtjY2Nx2LiIiIiIiIiIPkgrCIiJyW0qWLEmbNm1o06YN48aNw9nZmS+++IKgoCCsra2Jj4+ncuXKwPXC7f79+42WEH8VEBDAsWPHbtrioVy5cqSnpxvnx48fN3YlA/j5+bFkyRLOnTt3W7uEC+Pv709OTg5nz56lefPmdx1PRORhkjqtXXGnICIiIiLFTC0jRESkyDZt2sS8efNISEjg5MmTLF++nNzcXHx8fLC3t2fgwIEMHz6crVu3cuzYMfr3788ff/xBWFhYgfFGjBjB119/TXh4OAkJCRw/fpyPP/7Y4kvlWrduzfz58zl8+DAHDhxgwIABFjt8e/TogZubG506dSI+Pp4ff/yRdevWsWfPnjt6xho1atCzZ0969+7N+vXr+emnn9i3bx9Tp05l8+bNdxRTRERERERE5GGhHcIiIlJkzs7OrF+/nqioKC5fvoy3tzcffPABtWvXBmDatGnk5ubSq1cvLl68SGBgIJ999hllypQpMJ6fnx+7du1i9OjRNG/enLy8PKpVq0b37t2NMdHR0fzzn/+kefPmVKhQgblz53Lw4EHjvrW1NZ9//jnDhg0jJCSEa9euUatWLd555507fs6YmBgmTZrEsGHD+Pnnn3niiSd48sknad++/R3HFBEREREREXkYmPL+2phRRERE7lpmZiZOTk5kZGTg6OhY3OmIiIiIiIjIY66on0PVMkJERERERERERETkb0IFYRF5ZLRq1arQLye7XTt37sRkMnHhwoV7Eu9B8fLyYs6cOcWdBlFRUdSvX/+mY1JTUzGZTCQkJNz3fK5cuUL16tX5+uuv73nskSNH8tprr93zuCIiIiIiIiLFQQVhEXlkrF+/nokTJxZ3GhZCQ0Pp1KlTcafxwEVERBAXF2ecF/QePDw8SE9Pp06dOvc9n3fffZcqVarQtGlTi+s7duwgJCSEsmXLUrp0aWrVqmX0Bf6rEydO4ODggLOzs8X1iIgIli1bxo8//ng/H0FERERERETkgdCXyonII8PFxaW4U7hvrly5grW1dXGnUeQ8zGYzZrP5pmNKlCiBm5vbvUqtUHl5ecyfP58JEyZYXF+0aBGDBg2iT58+rFu3Di8vL9LS0li+fDnR0dHMmjXLGHv16lV69OhB8+bN8+0yfuKJJwgKCmLhwoW89dZb9/15RETuJ6+Rm4s7hbuSOq1dcacgIiIi8sjTDmEReWT8tWXEggUL8Pb2xtbWFldXV7p27Wrcy87OZvDgwZQvXx5bW1ueeuop9u/fny9mfHw8fn5+2Nra8uSTT3L06FHjXkFtEebMmYOXl5dxf9myZXz88ceYTCZMJhM7d+6kdevWhIeHW8z77bffsLa2NnbVenl5MXHiRHr37o2joyOvvPJKkeb91YULF3j11VdxdXXF1taWOnXqsGnTJgB+//13evToQcWKFSldujR169blgw8+yPdOw8PDGTJkiFH4vNFOIy4ujsDAQEqXLk3Tpk1JTk4u8N0U9h7+2jKiKHEBPv74YwICArC1taVq1aqMHz+ea9euFfj8AAcPHiQlJYV27f5fkeD06dMMHjyYwYMH8/7779OqVSu8vLxo0aIFS5YsYezYsRYx3nzzTWrWrEm3bt0KXKNDhw6sXr260BxEREREREREHhUqCIvII+nAgQMMHjyYCRMmkJyczNatW2nRooVxPzIyknXr1rFs2TIOHTpE9erVCQoK4ty5cxZxhg8fTnR0NPv376dcuXJ06NCBq1evFimHiIgIunXrRnBwMOnp6aSnp9O0aVP69evHqlWryM7ONsb++9//pmLFirRu3dq4NnPmTOrVq8fhw4cZM2ZMkefdkJuby3PPPUd8fDz//ve/OXbsGNOmTaNEiRIAXL58mQYNGrB582aOHj3KK6+8Qq9evdi3b59FnGXLlmFtbU18fDzvvvuucX306NFER0dz4MABSpYsSd++fW/rPRTmZnF3795N7969ef311zl27BiLFi0iNjaWyZMnFxpv9+7d1KhRAwcHB+Pahx9+yJUrV4iMjCxwzp/bQnzxxRd8+OGHvPPOO4Wu0ahRI06fPk1qamqhY0REREREREQeBWoZISKPpLS0NOzt7Wnfvj0ODg5UrlwZf39/AC5dusTChQuJjY3lueeeA2Dx4sVs27aNpUuXMnz4cCPOuHHjaNu2LXC9MFqpUiU++uijQneK/pnZbMbOzo7s7GyL1ghdunQhPDycjz/+2IgTGxtLaGgoJpPJGNe6dWuGDRtmnFesWLFI827Yvn07+/btIykpiRo1agBQtWpVi3gRERHG+WuvvcZnn33G2rVradSokXHd29ubGTNmGOfp6ekATJ48mZYtWwLXv1itXbt2XL58GVtb2yK9h8LcLO748eMZOXIkffr0MZ5n4sSJREZGMm7cuALjnTx5kgoVKlhcO378OI6Ojri7u980l99//53Q0FD+/e9/4+joWOi4G/FPnjxp7BD/q+zsbItifmZm5k3XFhERERERESkO2iEsIo+ktm3bUrlyZapWrUqvXr1YuXIlf/zxBwApKSlcvXqVZs2aGeNLlSpFo0aNSEpKsojTpEkT42cXFxd8fHzyjbldtra29OrVi/fffx+AQ4cOcfToUUJDQy3GBQYG3tG8GxISEqhUqZJRDP6rnJwcJk6cSN26dXFxccFsNvPZZ5+RlpZmMa5BgwYFzvfz8zN+vlFYPXv2bMEPfRtuFjcxMZEJEyYYPYrNZjP9+/cnPT3d+P3+1f/+9798Req8vLwCi+h/1b9/f15++WWL3eUFsbOzAyg0B4CpU6fi5ORkHB4eHrdcX0RERERERORBU0FYRB5JDg4OHDp0iA8++AB3d3fGjh1LvXr1uHDhwj1bw8rKiry8PItrRW0n0a9fP7Zt28bp06eJiYmhdevWVK5c2WKMvb39Hc274UaRsjBvvfUWc+fOZcSIEezYsYOEhASCgoK4cuXKLfOA60X0G24UV3Nzc2+6ZlHcLG5WVhbjx48nISHBOI4cOcLx48fzFX1veOKJJzh//rzFtRo1apCRkWHsdi7MF198wcyZMylZsiQlS5YkLCyMjIwMSpYsaRTmAaPVSLly5QqNNWrUKDIyMozj1KlTN11bREREREREpDioICwij6ySJUvSpk0bZsyYwbfffktqaipffPEF1apVM3ri3nD16lX2799PrVq1LGJ88803xs/nz5/nhx9+wNfXF7he/Pv1118tisI3viDtBmtra3JycvLlVrduXQIDA1m8eDGrVq0qtP/u3czz8/Pj9OnT/PDDDwXej4+Pp2PHjvzjH/+gXr16VK1atdCxd6uw93C7AgICSE5Opnr16vkOK6uC/2T5+/vz/fffW/yeunbtirW1tUUrjD+78Q8He/bssSg+T5gwAQcHBxISEujcubMx/ujRo5QqVYratWsXmruNjQ2Ojo4Wh4iIiIiIiMjDRj2EReSRtGnTJn788UdatGhBmTJl2LJlC7m5ufj4+GBvb8/AgQMZPnw4Li4ueHp6MmPGDP744w/CwsIs4kyYMIGyZcvi6urK6NGjeeKJJ+jUqRMArVq14rfffmPGjBl07dqVrVu38umnn1oU+ry8vPjss89ITk6mbNmyODk5GTtg+/XrR3h4OPb29hbFxVsp6ryWLVvSokULXnjhBWbNmkX16tX5/vvvMZlMBAcH4+3tzX/+8x++/vprypQpw6xZszhz5ky+ovi9UNB7uBNjx46lffv2eHp60rVrV6ysrEhMTOTo0aNMmjSpwDlPP/00WVlZfPfdd9SpUwcADw8PZs+eTXh4OJmZmfTu3RsvLy9Onz7N8uXLMZvNREdHG8X/Gw4cOICVlZUR54bdu3fTvHnzW+7KFhF52KVOa1fcKYiIiIhIMdMOYRF5JDk7O7N+/Xpat26Nr68v7777Lh988IGxg3PatGm88MIL9OrVi4CAAE6cOMFnn31GmTJlLOJMmzaN119/nQYNGvDrr7/yySefYG1tDYCvry8LFizgnXfeoV69euzbt8/iS9rgeg9aHx8fAgMDKVeunMWu5B49elCyZEl69OhRaLuDgtzOvHXr1tGwYUN69OhBrVq1iIyMNHbqvvnmmwQEBBAUFESrVq1wc3Mzit332s3ew+0ICgpi06ZNfP755zRs2JAnn3yS2bNnF9o2A6Bs2bJ07tyZlStXWlwfNGgQn3/+OT///DOdO3emZs2a9OvXD0dHx3y/x1tZvXo1/fv3v6NnEhEREREREXmYmPL+2iBTRETuidTUVKpVq8b+/fsJCAi47/P+zr799lvatm1LSkoKZrP5nsb+9NNPGTZsGN9++y0lSxb9f6zJzMzEycmJjIwMtY8QERERERGR+66on0O1Q1hE5B67evUqv/76K2+++SZPPvlkkYu6dzpPrvdTnj59Oj/99NM9j33p0iViYmJuqxgsIiIiIiIi8rDSp1sRkXssPj6ep59+mho1avCf//znvs+T60JDQ+9L3K5du96XuCIiIiIiIiLFQTuERUTusVatWpGXl0dycjJ169alVatWDBky5Lbn3ZCamorJZCIhIeG2cijKmg+L0NDQ+9bfWERERERERET+H+0QFhG5z9avX0+pUqWKO42H2ty5cymOlvZeXl4MGTLkkSqei4iIiIiIiNwNFYRFRO4zFxeX4k7hvrhy5QrW1tb3JJaTk9M9iSMiIjfnNXJzcafwQKVOa1fcKYiIiIg8dNQyQkTkPvtz+wYvLy+mTJlC3759cXBwwNPTk/fee89i/L59+/D398fW1pbAwEAOHz6cL+auXbto1KgRNjY2uLu7M3LkSK5du1ZoDtnZ2URERFCxYkXs7e1p3LgxO3fuNO7Hxsbi7OzMhg0b8Pb2xtbWlqCgIE6dOmWMiYqKon79+ixZsoQqVapga2sLQFpaGh07dsRsNuPo6Ei3bt04c+ZMvnmLFi3Cw8OD0qVL061bNzIyMowxf20ZkZ2dzeDBgylfvjy2trY89dRT7N+/37i/c+dOTCYTcXFxBAYGUrp0aZo2bUpycrIxJiUlhY4dO+Lq6orZbKZhw4Zs377d4vdy8uRJ3njjDUwmEyaTybj31Vdf0bx5c+zs7PDw8GDw4MFcunSp0PcrIiIiIiIi8qhQQVhE5AGLjo42Cr2DBg1i4MCBRiEzKyuL9u3bU6tWLQ4ePEhUVBQREREW83/++WdCQkJo2LAhiYmJLFy4kKVLlzJp0qRC1wwPD2fPnj2sXr2ab7/9lhdffJHg4GCOHz9ujPnjjz+YPHkyy5cvJz4+ngsXLvDSSy9ZxDlx4gTr1q1j/fr1JCQkkJubS8eOHTl37hy7du1i27Zt/Pjjj3Tv3j3fvLVr1/LJJ5+wdetW49kLExkZybp161i2bBmHDh2ievXqBAUFce7cOYtxo0ePJjo6mgMHDlCyZEn69u1r3MvKyiIkJIS4uDgOHz5McHAwHTp0IC0tDbjeyqNSpUpMmDCB9PR00tPTgeuF5ODgYF544QW+/fZb1qxZw1dffUV4eHih+YqIiIiIiIg8KtQyQkTkAQsJCTGKoSNGjGD27Nns2LEDHx8fVq1aRW5uLkuXLsXW1pbatWtz+vRpBg4caMxfsGABHh4ezJ8/H5PJRM2aNfnll18YMWIEY8eOxcrK8t/60tLSiImJIS0tjQoVKgAQERHB1q1biYmJYcqUKQBcvXqV+fPn07hxYwCWLVuGr68v+/bto1GjRsD1NhHLly+nXLlyAGzbto0jR47w008/4eHhAcDy5cupXbs2+/fvp2HDhgBcvnyZ5cuXU7FiRQDefvtt2rVrR3R0NG5ubhb5Xrp0iYULFxIbG8tzzz0HwOLFi9m2bRtLly5l+PDhxtjJkyfTsmVLAEaOHEm7du24fPkytra21KtXj3r16hljJ06cyEcffcTGjRsJDw/HxcWFEiVK4ODgYJHD1KlT6dmzp7Gr29vbm3nz5tGyZUsWLlxo7Iz+q+zsbLKzs43zzMzMAseJiIiIiIiIFCftEBYRecD8/PyMn00mE25ubpw9exaApKQk/Pz8LIqOTZo0sZiflJREkyZNLFocNGvWjKysLE6fPp1vvSNHjpCTk0ONGjUwm83GsWvXLlJSUoxxJUuWNAq4ADVr1sTZ2ZmkpCTjWuXKlY1i8I1cPDw8jGIwQK1atfLN8/T0NIrBN54pNzfXosXDDSkpKVy9epVmzZoZ10qVKkWjRo0sYoLlu3R3dwcw3mVWVhYRERH4+vri7OyM2WwmKSnJ2CFcmMTERGJjYy3eVVBQELm5ufz000+Fzps6dSpOTk7G8ed3IiIiIiIiIvKw0A5hEZEHrFSpUhbnJpOJ3Nzc+7ZeVlYWJUqU4ODBg5QoUcLintlsvq1Y9vb29zK1u/bnd3mjQH7jXUZERLBt2zZmzpxJ9erVsbOzo2vXrly5cuWmMbOysnj11VcZPHhwvnuenp6Fzhs1ahRDhw41zjMzM1UUFhERERERkYeOCsIiIg8RX19fVqxYYbQ9APjmm2/yjVm3bh15eXlGETQ+Ph4HBwcqVaqUL6a/vz85OTmcPXuW5s2bF7r2tWvXOHDggNEeIjk5mQsXLuDr63vTfE+dOsWpU6eM4uexY8e4cOECtWrVMsalpaXxyy+/GC0rvvnmG6ysrPDx8ckXs1q1alhbWxMfH0/lypWB6+0s9u/fb7RxKIr4+HhCQ0Pp3LkzcL3Qm5qaajHG2tqanJwci2sBAQEcO3aM6tWrF3ktABsbG2xsbG5rjoiIiIiIiMiDpoKwiMhD5OWXX2b06NH079+fUaNGkZqaysyZMy3GDBo0iDlz5vDaa68RHh5OcnIy48aNY+jQofn6BwPUqFGDnj170rt3b6Kjo/H39+e3334jLi4OPz8/2rVrB1zfbfvaa68xb948SpYsSXh4OE8++aRRIC5ImzZtqFu3Lj179mTOnDlcu3aNQYMG0bJlSwIDA41xtra29OnTh5kzZ5KZmcngwYPp1q1bvv7BcH0X8sCBAxk+fDguLi54enoyY8YM/vjjD8LCwor8Lr29vVm/fj0dOnTAZDIxZsyYfDuxvby8+PLLL3nppZewsbHhiSeeYMSIETz55JOEh4fTr18/7O3tOXbsGNu2bWP+/PlFXl9E5GGUOq1dcacgIiIiIsVMPYRFRB4iZrOZTz75hCNHjuDv78/o0aOZPn26xZiKFSuyZcsW9u3bR7169RgwYABhYWG8+eabhcaNiYmhd+/eDBs2DB8fHzp16sT+/fstWiCULl2aESNG8PLLL9OsWTPMZjNr1qy5ab4mk4mPP/6YMmXK0KJFC9q0aUPVqlXzzatevTpdunQhJCSEZ599Fj8/PxYsWFBo3GnTpvHCCy/Qq1cvAgICOHHiBJ999hllypS5aT5/NmvWLMqUKUPTpk3p0KEDQUFBBAQEWIyZMGECqampVKtWzeiN7Ofnx65du/jhhx9o3rw5/v7+jB071tjdLCIiIiIiIvIoM+Xl5eUVdxIiIlK8YmNjGTJkCBcuXLjnsaOiotiwYQMJCQn3PPbDLDMzEycnJzIyMnB0dCzudEREREREROQxV9TPodohLCIiIiIiIiIiIvI3oYKwiIiIiIiIiIiIyN+ECsIiIo+ZVq1aMWTIkNuaExoaarSLSE1NxWQy3VaLh5utGRUVlS9WbGwszs7Ot5WjiIiIiIiIiNw9FYRFRB4z69evZ+LEicWdxgO1c+dOTCbTbfdAvpPit4iIiIiIiMijrGRxJyAiIveWi4tLcacgIiJ/4jVyc3GnYEid1q64UxARERGRYqYdwiIij5k/t2/w8vJiypQp9O3bFwcHBzw9PXnvvfcsxu/btw9/f39sbW0JDAzk8OHD+WLu2rWLRo0aYWNjg7u7OyNHjuTatWuF5pCdnU1ERAQVK1bE3t6exo0bs3PnzkLHp6Sk0LFjR1xdXTGbzTRs2JDt27fnizlixAg8PDywsbGhevXqLF26lNTUVJ5++mkAypQpg8lkIjQ0FICtW7fy1FNP4ezsTNmyZWnfvj0pKSlGzCpVqgDg7++PyWSiVatWxr0lS5bg6+uLra0tNWvWZMGCBYXmLyIiIiIiIvKoUEFYROQxFx0dbRR6Bw0axMCBA0lOTgYgKyuL9u3bU6tWLQ4ePEhUVBQREREW83/++WdCQkJo2LAhiYmJLFy4kKVLlzJp0qRC1wwPD2fPnj2sXr2ab7/9lhdffJHg4GCOHz9e4PisrCxCQkKIi4vj8OHDBAcH06FDB9LS0owxvXv35oMPPmDevHkkJSWxaNEizGYzHh4erFu3DoDk5GTS09OZO3cuAJcuXWLo0KEcOHCAuLg4rKys6Ny5M7m5ucD1YjjA9u3bSU9PZ/369QCsXLmSsWPHMnnyZJKSkpgyZQpjxoxh2bJld/IrEBEREREREXloqGWEiMhjLiQkhEGDBgEwYsQIZs+ezY4dO/Dx8WHVqlXk5uaydOlSbG1tqV27NqdPn2bgwIHG/AULFuDh4cH8+fMxmUzUrFmTX375hREjRjB27FisrCz/bTEtLY2YmBjS0tKoUKECABEREWzdupWYmBimTJmSL8d69epRr14943zixIl89NFHbNy4kfDwcH744QfWrl3Ltm3baNOmDQBVq1Y1xt9ok1G+fHmLL6t74YUXLNZ5//33KVeuHMeOHaNOnTqUK1cOgLJly+Lm5maMGzduHNHR0XTp0gW4vpP42LFjLFq0iD59+hT4nrOzs8nOzjbOMzMzCxwnIiIiIiIiUpxUEBYRecz5+fkZP5tMJtzc3Dh79iwASUlJ+Pn5YWtra4xp0qSJxfykpCSaNGmCyWQyrjVr1oysrCxOnz6Np6enxfgjR46Qk5NDjRo1LK5nZ2dTtmzZAnPMysoiKiqKzZs3k56ezrVr1/jf//5n7BBOSEigRIkStGzZ8rae/fjx44wdO5a9e/fy3//+19gZnJaWRp06dQqcc+nSJVJSUggLC6N///7G9WvXruHk5FToWlOnTmX8+PG3lZ+IiIiIiIjIg6aCsIjIY65UqVIW5yaTySiM3g9ZWVmUKFGCgwcPUqJECYt7ZrO5wDkRERFs27aNmTNnUr16dezs7OjatStXrlwBwM7O7o5y6dChA5UrV2bx4sVUqFCB3Nxc6tSpY8QtLH+AxYsX07hxY4t7f32ePxs1ahRDhw41zjMzM/Hw8LijvEVERERERETuFxWERUT+xnx9fVmxYgWXL182dgl/8803+casW7eOvLw8Y5dwfHw8Dg4OVKpUKV9Mf39/cnJyOHv2LM2bNy9SHvHx8YSGhtK5c2fgelE2NTXVuF+3bl1yc3PZtWuX0TLiz6ytrQHIyckxrv3+++8kJyezePFiI4+vvvrqlvNcXV2pUKECP/74Iz179ixS/gA2NjbY2NgUebyIiIiIiIhIcVBBWETkb+zll19m9OjR9O/fn1GjRpGamsrMmTMtxgwaNIg5c+bw2muvER4eTnJyMuPGjWPo0KH5+gcD1KhRg549e9K7d2+io6Px9/fnt99+Iy4uDj8/P9q1a5dvjre3N+vXr6dDhw6YTCbGjBljsYvZy8uLPn360LdvX+bNm0e9evU4efIkZ8+epVu3blSuXBmTycSmTZsICQnBzs6OMmXKULZsWd577z3c3d1JS0tj5MiRFuuWL18eOzs7tm7dSqVKlbC1tcXJyYnx48czePBgnJycCA4OJjs7mwMHDnD+/HmLXcAiIkWROi3/f/dERERERIpL/k/yIiLyt2E2m/nkk084cuQI/v7+jB49munTp1uMqVixIlu2bGHfvn3Uq1ePAQMGEBYWxptvvllo3JiYGHr37s2wYcPw8fGhU6dO7N+/P1+/4RtmzZpFmTJlaNq0KR06dCAoKIiAgACLMQsXLqRr164MGjSImjVr0r9/fy5dumTkOH78eEaOHImrqyvh4eFYWVmxevVqDh48SJ06dXjjjTd46623LGKWLFmSefPmsWjRIipUqEDHjh0B6NevH0uWLCEmJoa6devSsmVLYmNjqVKlym2/YxEREREREZGHiSkvLy+vuJMQERF53GRmZuLk5ERGRgaOjo7FnY6IiIiIiIg85or6OVQ7hEVERERERERERET+JlQQFhEREREREREREfmbUEFYROQR1qpVK4YMGXLH81NTUzGZTCQkJDywNUVERERERESk+JQs7gREROTOrV+/nlKlShV3GsUuNDSUCxcusGHDhtuaFxUVxYYNG26rIC4iIiIiIiLyKFNBWETkEebi4lLcKYiI3JLXyM3FnYL8/1KntSvuFERERESkmKllhIjII+zP7Ru8vLyYMmUKffv2xcHBAU9PT9577z2L8fv27cPf3x9bW1sCAwM5fPhwvpi7du2iUaNG2NjY4O7uzsiRI7l27VqhOWRnZxMREUHFihWxt7encePG7Ny507j/+++/06NHDypWrEjp0qWpW7cuH3zwgUWM3NxcZsyYQfXq1bGxscHT05PJkycb90+dOkW3bt1wdnbGxcWFjh07kpqaClzf5bts2TI+/vhjTCYTJpPJWH/EiBHUqFGD0qVLU7VqVcaMGcPVq1cBiI2NZfz48SQmJhrzYmNjAbhw4QL9+vWjXLlyODo60rp1axITE4vyKxERERERERF5qKkgLCLyGImOjjYKvYMGDWLgwIEkJycDkJWVRfv27alVqxYHDx4kKiqKiIgIi/k///wzISEhNGzYkMTERBYuXMjSpUuZNGlSoWuGh4ezZ88eVq9ezbfffsuLL75IcHAwx48fB+Dy5cs0aNCAzZs3c/ToUV555RV69erFvn37jBijRo1i2rRpjBkzhmPHjrFq1SpcXV0BuHr1KkFBQTg4OLB7927i4+Mxm80EBwdz5coVIiIi6NatG8HBwaSnp5Oenk7Tpk0BcHBwIDY2lmPHjjF37lwWL17M7NmzAejevTvDhg2jdu3axrzu3bsD8OKLL3L27Fk+/fRTDh48SEBAAM888wznzp0r9D1kZ2eTmZlpcYiIiIiIiIg8bNQyQkTkMRISEsKgQYOA67tjZ8+ezY4dO/Dx8WHVqlXk5uaydOlSbG1tqV27NqdPn2bgwIHG/AULFuDh4cH8+fMxmUzUrFmTX375hREjRjB27FisrCz/HTEtLY2YmBjS0tKoUKECABEREWzdupWYmBimTJlCxYoVLQrPr732Gp999hlr166lUaNGXLx4kblz5zJ//nz69OkDQLVq1XjqqacAWLNmDbm5uSxZsgSTyQRATEwMzs7O7Ny5k2effRY7Ozuys7Nxc3OzyO/NN980fvby8iIiIoLVq1cTGRmJnZ0dZrOZkiVLWsz76quv2LdvH2fPnsXGxgaAmTNnsmHDBv7zn//wyiuvFPjup06dyvjx42/jtyUiIiIiIiLy4KkgLCLyGPHz8zN+NplMuLm5cfbsWQCSkpLw8/PD1tbWGNOkSROL+UlJSTRp0sQovAI0a9aMrKwsTp8+jaenp8X4I0eOkJOTQ40aNSyuZ2dnU7ZsWQBycnKYMmUKa9eu5eeff+bKlStkZ2dTunRpY83s7GyeeeaZAp8pMTGREydO4ODgYHH98uXLpKSk3PR9rFmzhnnz5pGSkkJWVhbXrl3D0dHxpnMSExPJysoy8r/hf//7303XGzVqFEOHDjXOMzMz8fDwuOlaIiIiIiIiIg+aCsIiIo+RUqVKWZybTCZyc3Pv23pZWVmUKFGCgwcPUqJECYt7ZrMZgLfeeou5c+cyZ84c6tati729PUOGDOHKlSsA2NnZ3XKNBg0asHLlynz3ypUrV+i8PXv20LNnT8aPH09QUBBOTk6sXr2a6OjoW67n7u5u0Qf5Bmdn50Ln2djYGDuKRURERERERB5WKgiLiPxN+Pr6smLFCi5fvmzsEv7mm2/yjVm3bh15eXnGLuH4+HgcHByoVKlSvpj+/v7k5ORw9uxZmjdvXuC68fHxdOzYkX/84x/A9S+Q++GHH6hVqxYA3t7e2NnZERcXR79+/fLNDwgIYM2aNZQvX77Q3b3W1tbk5ORYXPv666+pXLkyo0ePNq6dPHnylvMCAgL49ddfKVmyJF5eXgWuJyIiIiIiIvKoUkFYRORv4uWXX2b06NH079+fUaNGkZqaysyZMy3GDBo0iDlz5vDaa68RHh5OcnIy48aNY+jQofn6BwPUqFGDnj170rt3b6Kjo/H39+e3334jLi4OPz8/2rVrh7e3N//5z3/4+uuvKVOmDLNmzeLMmTNGQdjW1pYRI0YQGRmJtbU1zZo147fffuO7774jLCyMnj178tZbb9GxY0cmTJhApUqVOHnyJOvXrycyMpJKlSrh5eXFZ599RnJyMmXLlsXJyQlvb2/S0tJYvXo1DRs2ZPPmzXz00UcW+Xt5efHTTz+RkJBApUqVcHBwoE2bNjRp0oROnToxY8YMatSowS+//MLmzZvp3LkzgYGB9++XJPKYSp3WrrhTEBERERGR/1/+T/ciIvJYMpvNfPLJJxw5cgR/f39Gjx7N9OnTLcZUrFiRLVu2sG/fPurVq8eAAQMICwuz+HK2v4qJiaF3794MGzYMHx8fOnXqxP79+41+w2+++SYBAQEEBQXRqlUr3Nzc6NSpk0WMMWPGMGzYMMaOHYuvry/du3c3eh+XLl2aL7/8Ek9PT7p06YKvry9hYWFcvnzZ2DHcv39/fHx8CAwMpFy5csTHx/P888/zxhtvEB4eTv369fn6668ZM2aMxbovvPACwcHBPP3005QrV44PPvgAk8nEli1baNGiBf/85z+pUaMGL730EidPnsTV1fVufw0iIiIiIiIixcqUl5eXV9xJiIiIPG4yMzNxcnIiIyPjll9kJyIiIiIiInK3ivo5VDuERURERERERERERP4mVBAWERERERERERER+ZtQQVhEHgmtWrViyJAhdxUjNTUVk8lEQkLCA133YePl5cWcOXOKNYfY2FicnZ2N86ioKOrXr//Q5FOQ4s5RRERERERE5F5QQVhEHgnr169n4sSJxZ3GHfnqq69o1qwZZcuWxc7Ojpo1azJ79uziTuuhEhERQVxcXLGt3717d3744YdiW19ERERERETkQSlZ3AmIiBSFi4tLcadwx+zt7QkPD8fPzw97e3u++uorXn31Vezt7XnllVceWB5XrlzB2tr6ga13O8xmM2azudjWt7Ozw87OrtjWFxF5ULxGbi7uFAyp09oVdwoiIiIif0vaISwij4S/tm7w8vJiypQp9O3bFwcHBzw9PXnvvfcs5uzbtw9/f39sbW0JDAzk8OHD+eLu2rWLRo0aYWNjg7u7OyNHjuTatWuF5pGdnU1ERAQVK1bE3t6exo0bs3Pnzpvm7u/vT48ePahduzZeXl784x//ICgoiN27d990XnZ2NiNGjMDDwwMbGxuqV6/O0qVLAcjJySEsLIwqVapgZ2eHj48Pc+fOtZgfGhpKp06dmDx5MhUqVMDHx8e4d/HiRXr06IG9vT0VK1bknXfesZiblpZGx44dMZvNODo60q1bN86cOQPA999/T+nSpVm1apUxfu3atdjZ2XHs2DG+/PJLSpUqxa+//moRc8iQITRv3rzAZy2oHcP7779P7dq1jd9NeHh4oe9q//79tG3blieeeAInJydatmzJoUOHLMZcuHCBV199FVdXV2xtbalTpw6bNm0CCm4ZMW3aNFxdXXFwcCAsLIzLly8Xur6IiIiIiIjIo0IFYRF5ZEVHRxuF3kGDBjFw4ECSk5MByMrKon379tSqVYuDBw8SFRVFRESExfyff/6ZkJAQGjZsSGJiIgsXLmTp0qVMmjSp0DXDw8PZs2cPq1ev5ttvv+XFF18kODiY48ePFznvw4cP8/XXX9OyZcubjuvduzcffPAB8+bNIykpiUWLFhm7aHNzc6lUqRIffvghx44dY+zYsfzf//0fa9eutYgRFxdHcnIy27ZtM4qfAG+99Rb16tXj8OHDjBw5ktdff51t27YZsTt27Mi5c+fYtWsX27Zt48cff6R79+4A1KxZk5kzZzJo0CDS0tI4ffo0AwYMYPr06dSqVYsWLVpQtWpVVqxYYax39epVVq5cSd++fYv0jhYuXMi//vUvXnnlFY4cOcLGjRupXr16oeMvXrxInz59+Oqrr/jmm2/w9vYmJCSEixcvGs/03HPPER8fz7///W+OHTvGtGnTKFGiRIHx1q5dS1RUFFOmTOHAgQO4u7uzYMGCm+acnZ1NZmamxSEiIiIiIiLysFHLCBF5ZIWEhDBo0CAARowYwezZs9mxYwc+Pj6sWrWK3Nxcli5diq2tLbVr1+b06dMMHDjQmL9gwQI8PDyYP38+JpOJmjVr8ssvvzBixAjGjh2LlZXlv5mlpaURExNDWloaFSpUAK73vt26dSsxMTFMmTLlpvlWqlSJ3377jWvXrhEVFUW/fv0KHfvDDz+wdu1atm3bRps2bQCoWrWqcb9UqVKMHz/eOK9SpQp79uxh7dq1dOvWzbhub2/PkiVL8rWKaNasGSNHjgSgRo0axMfHM3v2bNq2bUtcXBxHjhzhp59+wsPDA4Dly5dTu3Zt9u/fT8OGDRk0aBBbtmzhH//4B9bW1jRs2JDXXnvNiB8WFkZMTAzDhw8H4JNPPuHy5csWud3MpEmTGDZsGK+//rpxrWHDhoWOb926tcX5e++9h7OzM7t27aJ9+/Zs376dffv2kZSURI0aNfK9z7+aM2cOYWFhhIWFGfls3779pruEp06davE7EREREREREXkYaYewiDyy/Pz8jJ9NJhNubm6cPXsWgKSkJPz8/LC1tTXGNGnSxGJ+UlISTZo0wWQyGdeaNWtGVlYWp0+fzrfekSNHyMnJoUaNGkbPW7PZzK5du0hJSQGwuD5gwACL+bt37+bAgQO8++67zJkzhw8++ACAlStXWszbvXs3CQkJlChR4qa7iN955x0aNGhAuXLlMJvNvPfee6SlpVmMqVu3boF9g//6Lpo0aUJSUpLxXjw8PIxiMECtWrVwdnY2xsD1lg7ffvsthw4dIjY21uI9hoaGcuLECb755hvgekuGbt26YW9vX+jz3HD27Fl++eUXnnnmmVuOveHMmTP0798fb29vnJyccHR0JCsry3gfCQkJVKpUySgG30pSUhKNGze2uPbXd/ZXo0aNIiMjwzhOnTpV5PxFREREREREHhTtEBaRR1apUqUszk0mE7m5ufdtvaysLEqUKMHBgwfztRq40cohISHBuObo6GgxpkqVKsD1Iu2ZM2eIioqiR48ePP/88xbFx4oVK7J9+/ab5rJ69WoiIiKIjo6mSZMmODg48NZbb7F3716LcUUpwN6pxMRELl26hJWVFenp6bi7uxv3ypcvT4cOHYiJiaFKlSp8+umnt+y1fMOdfLlbnz59+P3335k7dy6VK1fGxsaGJk2acOXKlTuOebtsbGywsbG57+uIiIiIiIiI3A0VhEXkseTr68uKFSu4fPmysUv4xm7VP49Zt24deXl5xu7W+Ph4HBwcqFSpUr6Y/v7+5OTkcPbs2UK/HO1mfW7/LDc3l+zsbAAcHBxwcHCwuF+3bl1yc3PZtWuX0TLiz+Lj42natKnRMgMwdikXxV/fxTfffIOvry9w/b2cOnWKU6dOGbuEjx07xoULF6hVqxYA586dIzQ0lNGjR5Oenk7Pnj05dOiQReG1X79+9OjRg0qVKlGtWjWaNWtWpNwcHBzw8vIiLi6Op59+ukhz4uPjWbBgASEhIQCcOnWK//73v8Z9Pz8/Tp8+zQ8//FCkXcK+vr7s3buX3r17G9f++s5EREREREREHkUqCIvIY+nll19m9OjR9O/fn1GjRpGamsrMmTMtxgwaNIg5c+bw2muvER4eTnJyMuPGjWPo0KH5+gfD9V67PXv2pHfv3kRHR+Pv789vv/1GXFwcfn5+tGvXrsBc3nnnHTw9PalZsyYAX375JTNnzmTw4MGF5u/l5UWfPn3o27cv8+bNo169epw8eZKzZ8/SrVs3vL29Wb58OZ999hlVqlRhxYoV7N+/39iFfCvx8fHMmDGDTp06sW3bNj788EM2b94MQJs2bahbty49e/Zkzpw5XLt2jUGDBtGyZUsCAwMBGDBgAB4eHrz55ptkZ2fj7+9PREQE77zzjrFGUFAQjo6OTJo0iQkTJhQprxuioqIYMGAA5cuX57nnnuPixYvEx8db9Cn+M29vb1asWEFgYCCZmZkMHz7cojjdsmVLWrRowQsvvMCsWbOoXr0633//PSaTieDg4HzxXn/9dUJDQwkMDKRZs2asXLmS77777qZ9h0VEHgWp0wr+WyUiIiIifx/qISwijyWz2cwnn3zCkSNH8Pf3Z/To0UyfPt1iTMWKFdmyZQv79u2jXr16DBgwgLCwMN58881C48bExNC7d2+GDRuGj48PnTp1Yv/+/Xh6ehY6Jzc3l1GjRlG/fn0CAwN55513mD59+i2LpAsXLqRr164MGjSImjVr0r9/fy5dugTAq6++SpcuXejevTuNGzfm999/t9gtfCvDhg3jwIED+Pv7M2nSJGbNmkVQUBBwvfXGxx9/TJkyZWjRogVt2rShatWqrFmzBrj+BXNbtmxhxYoVlCxZEnt7e/7973+zePFiPv30U2MNKysrQkNDycnJsdhpWxR9+vRhzpw5LFiwgNq1a9O+fXuOHz9e6PilS5dy/vx5AgIC6NWrF4MHD6Z8+fIWY9atW0fDhg3p0aMHtWrVIjIykpycnALjde/enTFjxhAZGUmDBg04efKkxRcSioiIiIiIiDyqTHl5eXnFnYSIiDyewsLC+O2339i4cWNxp/LAZWZm4uTkREZGRr5+0iIiIiIiIiL3WlE/h6plhIiI3HMZGRkcOXKEVatW/S2LwSIiIiIiIiIPKxWERUTknuvYsSP79u1jwIABtG3btrjTEREREREREZH/n3oIi4jcJ61atWLIkCF3FSM2NhZnZ+ebjomKiqJ+/fp3tc7tSE1NxWQykZCQUOiYnTt38scffzB79uwC7xfluURERERERETk3lNBWETkPlm/fj0TJ068qxjdu3fnhx9+uEcZPb527tyJyWTiwoULtzWvKMVtERERERERkceJWkaIiNwnLi4udx3Dzs4OOzu7e5CNiIg8SF4jNxd3CgVKndauuFMQERERkWKmHcIiIvfJX1tGeHl5MWnSJHr37o3ZbKZy5cps3LiR3377jY4dO2I2m/Hz8+PAgQPGnIJaK0ybNg1XV1ccHBwICwvj8uXLFvf3799P27ZteeKJJ3BycqJly5YcOnTIIqbJZMp3REVFAZCbm8uECROoVKkSNjY21K9fn61bt970WY8ePcpzzz2H2WzG1dWVXr168d///rfI7yolJYWOHTvi6uqK2WymYcOGbN++3WJMdnY2I0aMwMPDAxsbG6pXr87SpUtJTU3l6aefBqBMmTKYTCZCQ0MB2Lp1K0899RTOzs6ULVuW9u3bk5KSYsSsUqUKAP7+/phMJlq1amXcW7JkCb6+vtja2lKzZk0WLFhQ5OcREREREREReVipICwi8gDNnj2bZs2acfjwYdq1a0evXr3o3bs3//jHPzh06BDVqlWjd+/e5OXlFTh/7dq1REVFMWXKFA4cOIC7u3u+QuXFixfp06cPX331Fd988w3e3t6EhIRw8eJF4HobivT0dOP44IMPKFmyJM2aNQNg7ty5REdHM3PmTL799luCgoJ4/vnnOX78eIE5XbhwgdatW+Pv78+BAwfYunUrZ86coVu3bkV+L1lZWYSEhBAXF8fhw4cJDg6mQ4cOpKWlGWN69+7NBx98wLx580hKSmLRokWYzWY8PDxYt24dAMnJyaSnpzN37lwALl26xNChQzlw4ABxcXFYWVnRuXNncnNzAdi3bx8A27dvJz09nfXr1wOwcuVKxo4dy+TJk0lKSmLKlCmMGTOGZcuWFfoM2dnZZGZmWhwiIiIiIiIiDxtTXmFVBxERuSutWrWifv36zJkzB7i+Q7h58+asWLECgF9//RV3d3fGjBnDhAkTAPjmm29o0qQJ6enpuLm5ERsby5AhQ4zeuE2bNsXf35933nnHWOfJJ5/k8uXLhfbBzc3NxdnZmVWrVtG+fXuLeykpKTRq1IiRI0cyfPhwACpWrMi//vUv/u///s8Y16hRIxo2bMg777xDamoqVapU4fDhw9SvX59Jkyaxe/duPvvsM2P86dOn8fDwIDk5mRo1auTL6a/PVZA6deowYMAAwsPD+eGHH/Dx8WHbtm20adMm39idO3fy9NNPc/78+Zt+Wd1///tfypUrx5EjR6hTp06+Z7mhevXqTJw4kR49ehjXJk2axJYtW/j6668LjB0VFcX48ePzXc/IyMDR0bHQnETk8aSWESIiIiLyoGVmZuLk5HTLz6HaISwi8gD5+fkZP7u6ugJQt27dfNfOnj1b4PykpCQaN25sca1JkyYW52fOnKF///54e3vj5OSEo6MjWVlZFrtt4Xqhsn379rRr184oBmdmZvLLL78Yu4VvaNasGUlJSQXmlJiYyI4dOzCbzcZRs2ZNAIv2DDeTlZVFREQEvr6+ODs7YzabSUpKMnJOSEigRIkStGzZskjxbjh+/Dg9evSgatWqODo64uXlBZDvXfzZpUuXSElJISwszOKZJk2adNPnGTVqFBkZGcZx6tSp28pVRERERERE5EHQl8qJiDxApUqVMn42mUyFXrvR0uBO9OnTh99//525c+dSuXJlbGxsaNKkCVeuXDHG5OTk0L17dxwdHXnvvffueC24Xszt0KED06dPz3fP3d29SDEiIiLYtm0bM2fOpHr16tjZ2dG1a1cj5zv9Yr0OHTpQuXJlFi9eTIUKFcjNzaVOnToW76Kg5wFYvHhxvuJ7iRIlCp1nY2ODjY3NHeUpIiIiIiIi8qCoICwi8gjx9fVl79699O7d27j2zTffWIyJj49nwYIFhISEAHDq1Kl8X/D2xhtvcOTIEQ4cOICtra1x3dHRkQoVKhAfH2+xGzc+Pp5GjRoVmFNAQADr1q3Dy8uLkiXv7M9KfHw8oaGhdO7cGbhelE1NTTXu161bl9zcXHbt2lVgywhra2vgeqH7ht9//53k5GQWL15M8+bNAfjqq69uOc/V1ZUKFSrw448/0rNnzzt6HhEREREREZGHlQrCIiKPkNdff53Q0FACAwNp1qwZK1eu5LvvvqNq1arGGG9vb1asWEFgYCCZmZkMHz7cYodtTEwMCxYs4KOPPsJkMvHrr78CGK0Rhg8fzrhx46hWrRr169cnJiaGhIQEVq5cWWBO//rXv1i8eDE9evQgMjISFxcXTpw4werVq1myZMlNd9X+Oef169fToUMHTCYTY8aMsdgl7eXlRZ8+fejbty/z5s2jXr16nDx5krNnz9KtWzcqV66MyWRi06ZNhISEYGdnR5kyZShbtizvvfce7u7upKWlMXLkSIt1y5cvj52dHVu3bqVSpUrY2tri5OTE+PHjGTx4ME5OTgQHB5Odnc2BAwc4f/48Q4cOva3fmYj8PalXr4iIiIg8rNRDWETkEdK9e3fGjBlDZGQkDRo04OTJkwwcONBizNKlSzl//jwBAQH06tWLwYMHU758eeP+rl27yMnJ4fnnn8fd3d04Zs6cCcDgwYMZOnQow4YNo27dumzdupWNGzfi7e1dYE43dhTn5OTw7LPPUrduXYYMGYKzszNWVkX7MzNr1izKlClD06ZN6dChA0FBQQQEBFiMWbhwIV27dmXQoEHUrFmT/v37c+nSJeD6F+GNHz+ekSNH4urqSnh4OFZWVqxevZqDBw9Sp04d3njjDd566y2LmCVLlmTevHksWrSIChUq0LFjRwD69evHkiVLiImJoW7durRs2ZLY2FiqVKlSpOcREREREREReViZ8vLy8oo7CRERkcdNUb/dVUREREREROReKOrnUO0QFhEREREREREREfmbUEFYRERERERERERE5G9CBWERkb+JVq1aMWTIkOJO44H7uz63iIiIiIiISEFKFncCIiLy9xEbG8uQIUO4cOHCA1tz/fr1lCpV6oGtJyIiIiIiIvIwU0FYREQeS1euXMHa2hoXF5fiTkXkseM1cnNxpyB3KHVau+JOQURERESKmVpGiIj8jeTm5hIZGYmLiwtubm5ERUUB0LdvX9q3b28x9urVq5QvX56lS5cC11svhIeHEx4ejpOTE0888QRjxowhLy/PmHP+/Hl69+5NmTJlKF26NM899xzHjx8HYOfOnfzzn/8kIyMDk8mEyWQy1l+xYgWBgYE4ODjg5ubGyy+/zNmzZ424sbGxODs7W+S3YcMGTCaTcR4VFUX9+vVZsmQJVapUwdbW1sj7zy0jvLy8mDJlCn379sXBwQFPT0/ee+89i9inTp2iW7duODs74+LiQseOHUlNTb3t9y0iIiIiIiLysFFBWETkb2TZsmXY29uzd+9eZsyYwYQJE9i2bRv9+vVj69atpKenG2M3bdrEH3/8Qffu3S3mlyxZkn379jF37lxmzZrFkiVLjPuhoaEcOHCAjRs3smfPHvLy8ggJCeHq1as0bdqUOXPm4OjoSHp6Ounp6URERADXi88TJ04kMTGRDRs2kJqaSmho6G0/34kTJ1i3bh3r168nISGh0HHR0dEEBgZy+PBhBg0axMCBA0lOTjZyCQoKwsHBgd27dxMfH4/ZbCY4OJgrV64UGjM7O5vMzEyLQ0RERERERORho5YRIiJ/I35+fowbNw4Ab29v5s+fT1xcHNOmTcPHx4cVK1YQGRkJQExMDC+++CJms9mY7+HhwezZszGZTPj4+HDkyBFmz55N//79OX78OBs3biQ+Pp6mTZsCsHLlSjw8PNiwYQMvvvgiTk5OmEwm3NzcLPLq27ev8XPVqlWZN28eDRs2JCsry2L9W7ly5QrLly+nXLlyNx0XEhLCoEGDABgxYgSzZ89mx44d+Pj4sGbNGnJzc1myZImxAzkmJgZnZ2d27tzJs88+W2DMqVOnMn78+CLnKiIiIiIiIlIctENYRORvxM/Pz+Lc3d3daM3Qr18/YmJiADhz5gyffvqpRaEW4Mknn7Ro09CkSROOHz9OTk4OSUlJlCxZksaNGxv3y5Yti4+PD0lJSTfN6+DBg3To0AFPT08cHBxo2bIlAGlpabf1fJUrV75lMRgs38ONAvWN95CYmMiJEydwcHDAbDZjNptxcXHh8uXLpKSkFBpz1KhRZGRkGMepU6duK3cRERERERGRB0E7hEVE/kZKlSplcW4ymcjNzQWgd+/ejBw5kj179vD1119TpUoVmjdvft9zunTpEkFBQQQFBbFy5UrKlStHWloaQUFBRosGKysri17FcL21w1/Z29sXac2bvYesrCwaNGjAypUr8827WbHZxsYGGxubIq0vIiIiIiIiUlxUEBYREeD6bt5OnToRExPDnj17+Oc//5lvzN69ey3Ov/nmG7y9vSlRogS+vr5cu3aNvXv3Gi0jfv/9d5KTk6lVqxYA1tbW5OTkWMT4/vvv+f3335k2bRoeHh4AHDhwwGJMuXLluHjxIpcuXTKKvjfrEXw3AgICWLNmDeXLl8fR0fG+rCEiIiIiIiJSXFQQFhERQ79+/Wjfvj05OTn06dMn3/20tDSGDh3Kq6++yqFDh3j77beJjo4Grvck7tixI/3792fRokU4ODgwcuRIKlasSMeOHQHw8vIiKyuLuLg46tWrR+nSpfH09MTa2pq3336bAQMGcPToUSZOnGixbuPGjSldujT/93//x+DBg9m7dy+xsbH35R307NmTt956i44dOzJhwgQqVarEyZMnWb9+PZGRkVSqVOm+rCvyKEmd1q64UxARERERkTukHsIiImJo06YN7u7uBAUFUaFChXz3e/fuzf/+9z8aNWrEv/71L15//XVeeeUV435MTAwNGjSgffv2NGnShLy8PLZs2WK0aGjatCkDBgyge/fulCtXjhkzZlCuXDliY2P58MMPqVWrFtOmTWPmzJkW67q4uPDvf/+bLVu2ULduXT744AOioqLuyzsoXbo0X375JZ6ennTp0gVfX1/CwsK4fPmydgyLiIiIiIjII8+U99emjCIi8reVlZVFxYoViYmJoUuXLhb3WrVqRf369ZkzZ07xJPeIyczMxMnJiYyMDBWSRURERERE5L4r6udQtYwQERFyc3P573//S3R0NM7Ozjz//PPFnZKIiIiIiIiI3AdqGSEi8hCKioqifv36DyxuWloarq6urFq1ivfff5+SJR/dfy8MDQ2lU6dOxnmrVq0YMmRIseUjIiIiIiIi8jB5dD/xi4j8/x6VVgbZ2dk0btyYxMREDh8+fF8KvnfKy8uLW3UQ2rlz54NJ5h5bv3690cNYRERERERE5O9OBWEReezl5eWRk5NT7LteIyMjqVChAomJicWax81cuXIFa2vr4k6jQHeam4uLy33IRkTk0eQ1cnNxp/BQS53WrrhTEBEREbnv1DJCRB5poaGh7Nq1i7lz52IymTCZTMTGxmIymfj0009p0KABNjY2fPXVV6SkpNCxY0dcXV0xm800bNiQ7du3W8Tz8vJiypQp9O3bFwcHBzw9PXnvvfeM+1euXCE8PBx3d3dsbW2pXLkyU6dOvWWen376KZ9//jkzZ868redbsWIFXl5eODk58dJLL3Hx4kUAli9fTtmyZcnOzrYY36lTJ3r16mWcT5s2DVdXVxwcHAgLC+Py5cv53l+nTp2YPHkyFSpUwMfHB4AjR47QunVr7OzsKFu2LK+88gpZWVnA9Z3C1tbW7N6924gzY8YMypcvz5kzZ4qU243WFYsWLcLDw4PSpUvTrVs3MjIy7iq3gvy1ZcStfscAp06dolu3bjg7O+Pi4kLHjh1JTU0tdA0RERERERGRR4UKwiLySJs7dy5NmjShf//+pKenk56ejoeHBwAjR45k2rRpJCUl4efnR1ZWFiEhIcTFxXH48GGCg4Pp0KEDaWlpFjGjo6MJDAzk8OHDDBo0iIEDB5KcnAzAvHnz2LhxI2vXriU5OZmVK1fi5eV10xzPnDlD//79WbFiBaVLly7ys6WkpLBhwwY2bdrEpk2b2LVrF9OmTQPgxRdfJCcnh40bNxrjz549y+bNm+nbty8Aa9euJSoqiilTpnDgwAHc3d1ZsGBBvnXi4uJITk5m27ZtbNq0iUuXLhEUFESZMmXYv38/H374Idu3byc8PBz4fwXWXr16kZGRweHDhxkzZgxLlizB1dW1SLkBnDhxgrVr1/LJJ5+wdetW433fTW5FdbPf8dWrVwkKCsLBwYHdu3cTHx+P2WwmODiYK1eu3NY6IiIiIiIiIg8bFYRF5JHm5OSEtbU1pUuXxs3NDTc3N0qUKAHAhAkTaNu2LdWqVcPFxYV69erx6quvUqdOHby9vZk4cSLVqlWzKFwChISEMGjQIKpXr86IESN44okn2LFjB3D9y9e8vb156qmnqFy5Mk899RQ9evQoNL+8vDxCQ0MZMGAAgYGBt/Vsubm5xMbGUqdOHZo3b06vXr2Ii4sDwM7OjpdffpmYmBhj/L///W88PT1p1aoVAHPmzCEsLIywsDB8fHyYNGkStWrVyreOvb09S5YsoXbt2tSuXZtVq1Zx+fJlli9fTp06dWjdujXz589nxYoVnDlzBoBJkyZRpkwZXnnlFf7xj3/Qp08fnn/++SLnBhhr1K9fnxYtWvD222+zevVqfv3117vKrShu9jtes2YNubm5LFmyhLp16+Lr60tMTAxpaWk37aOcnZ1NZmamxSEiIiIiIiLysFFBWEQeW38twGZlZREREYGvry/Ozs6YzWaSkpLy7RD28/MzfjaZTLi5uXH27FngehuDhIQEfHx8GDx4MJ9//rkxdsCAAZjNZuMAePvtt7l48SKjRo0qNM8/zxkwYIBx3cvLCwcHB+Pc3d3dyAOgf//+fP755/z8888AxMbGEhoaislkAiApKYnGjRtbrNWkSZN869etW9eiN29SUhL16tXD3t7euNasWTNyc3ONXbTW1tasXLmSdevWcfnyZWbPnm0R81a5AXh6elKxYkWL3P68xp3mVhQ3+x0nJiZy4sQJHBwcjN+Li4sLly9fJiUlpdCYU6dOxcnJyThu7FQXEREREREReZjoS+VE5LH156IhQEREBNu2bWPmzJlUr14dOzs7unbtmq8NQKlSpSzOTSYTubm5AAQEBPDTTz/x6aefsn37drp160abNm34z3/+w4QJE4iIiLCY+8UXX7Bnzx5sbGwsrgcGBtKzZ0+WLVtGQkKCcd3R0bFIeQD4+/tTr149li9fzrPPPst3333H5s23/2VBf31PRfX1118DcO7cOc6dO2cRp7hzu5WbvdusrCwaNGjAypUr880rV65coTFHjRrF0KFDjfPMzEwVhUVEREREROSho4KwiDzyrK2tycnJueW4+Ph4QkND6dy5M3C98HcnXxTm6OhI9+7d6d69O127diU4OJhz585Rvnx5ypcvbzF23rx5TJo0yTj/5ZdfCAoKYs2aNcbu3erVq992Djf069ePOXPm8PPPP9OmTRuLAqSvry979+6ld+/exrVvvvnmljF9fX2JjY3l0qVLRkE2Pj4eKysr44vdUlJSeOONN1i8eDFr1qyhT58+bN++HSur//c/ntwsN7jefuOXX36hQoUKRm5/XuNOc7tbAQEBrFmzhvLly1sU6G/FxsYmX+FfRERERERE5GGjgrCIPPK8vLzYu3cvqampmM1mi120f+bt7c369evp0KEDJpOJMWPGFDq2MLNmzcLd3R1/f3+srKz48MMPcXNzw9nZucDxnp6eFuc3WklUq1aNSpUq3dbaBXn55ZeJiIhg8eLFLF++3OLe66+/TmhoKIGBgTRr1oyVK1fy3XffUbVq1ZvG7NmzJ+PGjaNPnz5ERUXx22+/8dprr9GrVy9cXV3JycnhH//4B0FBQfzzn/8kODiYunXrEh0dzfDhw4uUG4CtrS19+vRh5syZZGZmMnjwYLp164abm9sd53Yv9OzZk7feeouOHTsyYcIEKlWqxMmTJ1m/fj2RkZH35PcmIlJcUqe1K+4URERERKSYqYewiDzyIiIiKFGiBLVq1aJcuXL5egLfMGvWLMqUKUPTpk3p0KEDQUFBBAQE3NZaDg4OzJgxg8DAQBo2bEhqaipbtmyx2Bn7IDk5OfHCCy9gNpvp1KmTxb3u3bszZswYIiMjadCgASdPnmTgwIG3jFm6dGk+++wzzp07R8OGDenatSvPPPMM8+fPB2Dy5MmcPHmSRYsWAdd7G7/33nu8+eabJCYmFik3uL4zukuXLoSEhPDss8/i5+fHggUL7iq3e6F06dJ8+eWXeHp60qVLF3x9fQkLC+Py5cu3tWNYRERERERE5GFkysvLyyvuJERE5M4988wz1K5dm3nz5hV3KvkUlltUVBQbNmyw6J/8uMnMzMTJyYmMjAwVkkVEREREROS+K+rnULWMEBF5RJ0/f56dO3eyc+fOW+6sfdAe5txERERERERE/s5UEBYReUT5+/tz/vx5pk+ffs++UO1eeZhzExEREREREfk7Uw9hEZFHRKtWrRgyZIhxnpqaSkZGBhEREcWXVCH+nJuXlxdz5syxuB8VFXXP2kWYTCY2bNhgrGsymYzYO3fuxGQyceHChXuyloiIiIiIiMijTjuERUTkvtq/fz/29vbGuclk4qOPPirwi+butaZNm5Keno6Tk9N9X0tERERERETkUaCCsIiI3FflypW77TlXrlzB2tr6rte2trbGzc3truOIiDwuvEZuLu4U7kjqtHbFnYKIiIjIY0MtI0REHiG5ublERkbi4uKCm5sbUVFRxr20tDQ6duyI2WzG0dGRbt26cebMGeN+VFQU9evX5/3338fT0xOz2cygQYPIyclhxowZuLm5Ub58eSZPnmyx5q3iAnzyySc0bNgQW1tbnnjiCTp37mzc+3PLCC8vLwA6d+6MyWQyzm/ktmTJEqpUqYKtrW2+uTfUr1/f4rlv5q8tI2JjY3F2duazzz7D19cXs9lMcHAw6enpFvOWLFmCr68vtra21KxZU1+MJyIiIiIiIo8NFYRFRB4hy5Ytw97enr179zJjxgwmTJjAtm3byM3NpWPHjpw7d45du3axbds2fvzxR7p3724xPyUlhU8//ZStW7fywQcfsHTpUtq1a8fp06fZtWsX06dP580332Tv3r0ARYq7efNmOnfuTEhICIcPHyYuLo5GjRoVmP/+/fsBiImJIT093TgHOHHiBOvWrWP9+vX3rL9wQf744w9mzpzJihUr+PLLL0lLS7Pow7xy5UrGjh3L5MmTSUpKYsqUKYwZM4Zly5bdt5xEREREREREHhS1jBAReYT4+fkxbtw4ALy9vZk/fz5xcXEAHDlyhJ9++gkPDw8Ali9fTu3atdm/fz8NGzYErhd433//fRwcHKhVqxZPP/00ycnJbNmyBSsrK3x8fJg+fTo7duygcePGxMXF3TLu5MmTeemllxg/fryRZ7169QrM/0b7CGdn53ytHK5cucLy5cvvqMXE7bh69Srvvvsu1apVAyA8PJwJEyYY98eNG0d0dDRdunQBoEqVKhw7doxFixbRp0+fQuNmZ2eTnZ1tnGdmZt6nJxARERERERG5c9ohLCLyCPHz87M4d3d35+zZsyQlJeHh4WEUbQFq1aqFs7MzSUlJxjUvLy8cHByMc1dXV2rVqoWVlZXFtbNnzwIUKW5CQgLPPPPMXT9b5cqV73sxGKB06dJGMRj+3zsEuHTpEikpKYSFhWE2m41j0qRJpKSk3DTu1KlTcXJyMo4/vzMRERERERGRh4V2CIuIPEJKlSplcW4ymcjNzb2r+Xcb087Orshjb8be3j7fNSsrK/Ly8iyuXb169a7WKeh5b6yRlZUFwOLFi2ncuLHFuBIlStw07qhRoxg6dKhxnpmZqaKwiIiIiIiIPHS0Q1hE5DHg6+vLqVOnOHXqlHHt2LFjXLhwgVq1at3XuH5+fkbbiqIoVaoUOTk5RRpbrlw5iy98y8zM5KeffiryWrfL1dWVChUq8OOPP1K9enWLo0qVKjeda2Njg6Ojo8UhIiIiIiIi8rDRDmERkcdAmzZtqFu3Lj179mTOnDlcu3aNQYMG0bJlSwIDA+9r3HHjxvHMM89QrVo1XnrpJa5du8aWLVsYMWJEgTG9vLyIi4ujWbNm2NjYUKZMmULXb926NbGxsXTo0AFnZ2fGjh17y526d2v8+PEMHjwYJycngoODyc7O5sCBA5w/f95iB7CIyKModVq74k5BRERERIqZdgiLiDwGTCYTH3/8MWXKlKFFixa0adOGqlWrsmbNmvset1WrVnz44Yds3LiR+vXr07p1a/bt21dozOjoaLZt24aHhwf+/v43XX/UqFG0bNmS9u3b065dOzp16mTR//d+6NevH0uWLCEmJoa6devSsmVLYmNjb7lDWERERERERORRYMr7a3NGERERuWuZmZk4OTmRkZGh9hEiIiIiIiJy3xX1c6h2CIuIiIiIiIiIiIj8TaggLCIiIiIiIiIiIvI3oYKwiMgjqlWrVgwZMqS403igoqKiqF+//m3N8fLyYs6cOfclHxEREREREZFHTcniTkBERKSoIiIieO21125rzv79+7G3t79PGYmIiIiIiIg8WlQQFhGRYnflyhWsra1vOc5sNmM2m28rdrly5e40LRF5yHmN3FzcKTxyUqe1K+4URERERKSYqWWEiMgjLDc3l8jISFxcXHBzcyMqKsq4l5aWRseOHTGbzTg6OtKtWzfOnDlj3L/RfuH999/H09MTs9nMoEGDyMnJYcaMGbi5uVG+fHkmT55sseat4qakpNCxY0dcXV0xm800bNiQ7du3W8Tw8vJi4sSJ9O7dG0dHR1555RUAFi9ejIeHB6VLl6Zz587MmjULZ2fnfDnfEBoaSqdOnZg5cybu7u6ULVuWf/3rX1y9etVirT+3jDCZTCxZsoTOnTtTunRpvL292bhxo0V+R48e5bnnnsNsNuPq6kqvXr3473//W+Tfi4iIiIiIiMjDSgVhEZFH2LJly7C3t2fv3r3MmDGDCRMmsG3bNnJzc+nYsSPnzp1j165dbNu2jR9//JHu3btbzE9JSeHTTz9l69atfPDBByxdupR27dpx+vRpdu3axfTp03nzzTfZu3cvQJHiZmVlERISQlxcHIcPHyY4OJgOHTqQlpZmsfbMmTOpV68ehw8fZsyYMcTHxzNgwABef/11EhISaNu2bb5idEF27NhBSkoKO3bsYNmyZcTGxhIbG3vTOePHj6dbt258++23hISE0LNnT86dOwfAhQsXaN26Nf7+/hw4cICtW7dy5swZunXrVpRfiYiIiIiIiMhDTS0jREQeYX5+fowbNw4Ab29v5s+fT1xcHABHjhzhp59+wsPDA4Dly5dTu3Zt9u/fT8OGDYHrBd73338fBwcHatWqxdNPP01ycjJbtmzBysoKHx8fpk+fzo4dO2jcuDFxcXG3jFuvXj3q1atn5Dhx4kQ++ugjNm7cSHh4uHG9devWDBs2zDgfPXo0zz33HBEREQDUqFGDr7/+mk2bNt30HZQpU4b58+dTokQJatasSbt27YiLi6N///6FzgkNDaVHjx4ATJkyhXnz5rFv3z6Cg4OZP38+/v7+TJkyxRj//vvv4+HhwQ8//ECNGjUKjJmdnU12drZxnpmZedO8RURERERERIqDdgiLiDzC/Pz8LM7d3d05e/YsSUlJeHh4GEVbgFq1auHs7ExSUpJxzcvLCwcHB+Pc1dWVWrVqYWVlZXHt7NmzAEWKm5WVRUREBL6+vjg7O2M2m0lKSsq3QzgwMNDiPDk5mUaNGllc++t5QWrXrk2JEiXyvYOb+fN7s7e3x9HR0ZiTmJjIjh07jH7FZrOZmjVrAtd3VBdm6tSpODk5Gcef35GIiIiIiIjIw0I7hEVEHmGlSpWyODeZTOTm5t7V/LuNGRERwbZt25g5cybVq1fHzs6Orl27cuXKFYtx9vb2RY55M3eS783mZGVl0aFDB6ZPn55vnru7e6ExR40axdChQ43zzMxMFYVFRERERETkoaOCsIjIY8jX15dTp05x6tQpoyh57NgxLly4QK1ate5r3Pj4eEJDQ+ncuTNwvcCampp6y9g+Pj7s37/f4tpfzx+EgIAA1q1bh5eXFyVLFv3PpI2NDTY2NvcxMxEREREREZG7p4KwiMhjqE2bNtStW5eePXsyZ84crl27xqBBg2jZsmW+Vg33Oq63tzfr16+nQ4cOmEwmxowZU6Qdxq+99hotWrRg1qxZdOjQgS+++IJPP/0Uk8l0x/neiX/9618sXryYHj16EBkZiYuLCydOnGD16tUsWbLEoj2FiBSv1GntijsFEREREZFHjnoIi4g8hkwmEx9//DFlypShRYsWtGnThqpVq7JmzZr7HnfWrFmUKVOGpk2b0qFDB4KCgggICLhl7GbNmvHuu+8ya9Ys6tWrx9atW3njjTewtbW9q5xvV4UKFYiPjycnJ4dnn32WunXrMmTIEJydnS16K4uIiIiIiIg8ikx5eXl5xZ2EiIhIQfr378/333/P7t27izuV25aZmYmTkxMZGRk4OjoWdzoiIiIiIiLymCvq51C1jBARkYfGzJkzadu2Lfb29nz66acsW7aMBQsWFHdaIiIiIiIiIo8NFYRFROShsW/fPmbMmMHFixepWrUq8+bNo1+/fsWdloiIiIiIiMhjQ80QRUTknmnVqhVDhgwp9L7JZGLDhg2F3l+7di1nz57lf//7H9999x0DBgywuB8VFUX9+vVvmkNoaCidOnUqck4iIiIiIiIifyfaISwiIg9Meno6ZcqUKdJYk8nERx99ZFHcjYiI4LXXXrutNdevX0+pUqVua46IiIiIiIjI40oFYREReWDc3Nzuar7ZbMZsNt/WHBcXl7taU0TkfvMaufmBrZU6rd0DW0tEREREHk5qGSEiIvdUbm4ukZGRuLi44ObmRlRUlHHvzy0jrly5Qnh4OO7u7tja2lK5cmWmTp0KgJeXFwCdO3fGZDIZ539tGZGTk8PQoUNxdnambNmyREZGkpeXZ5HPX1tGeHl5MWXKFPr27YuDgwOenp689957FnNOnTpFt27dcHZ2xsXFhY4dO5KamnovXo+IiIiIiIhIsVJBWERE7qlly5Zhb2/P3r17mTFjBhMmTGDbtm35xs2bN4+NGzeydu1akpOTWblypVH43b9/PwAxMTGkp6cb538VHR1NbGws77//Pl999RXnzp3jo48+umWO0dHRBAYGcvjwYQYNGsTAgQNJTk4G4OrVqwQFBeHg4MDu3buJj4/HbDYTHBzMlStX7vCtiIiIiIiIiDwc1DJCRETuKT8/P8aNGweAt7c38+fPJy4ujrZt21qMS0tLw9vbm6eeegqTyUTlypWNe+XKlQPA2dn5pm0m5syZw6hRo+jSpQsA7777Lp999tktcwwJCWHQoEEAjBgxgtmzZ7Njxw58fHxYs2YNubm5LFmyBJPJBFwvTDs7O7Nz506effbZAmNmZ2eTnZ1tnGdmZt4yDxEREREREZEHTTuERUTknvLz87M4d3d35+zZs/nGhYaGkpCQgI+PD4MHD+bzzz+/rXUyMjJIT0+ncePGxrWSJUsSGBh4WzmaTCbc3NyMHBMTEzlx4gQODg5Gz2IXFxcuX75MSkpKoTGnTp2Kk5OTcXh4eNzW84iIiIiIiIg8CNohLCIi91SpUqUszk0mE7m5ufnGBQQE8NNPP/Hpp5+yfft2unXrRps2bfjPf/5TrDlmZWXRoEEDVq5cmW/ejZ3LBRk1ahRDhw41zjMzM1UUFhERERERkYeOCsIiIlJsHB0d6d69O927d6dr164EBwdz7tw5XFxcKFWqFDk5OYXOdXJywt3dnb1799KiRQsArl27xsGDBwkICLjjnAICAlizZg3ly5fH0dGxyPNsbGywsbG543VFREREREREHgQVhEVEpFjMmjULd3d3/P39sbKy4sMPP8TNzQ1nZ2cAvLy8iIuLo1mzZtjY2FCmTJl8MV5//XWmTZuGt7c3NWvWZNasWVy4cOGu8urZsydvvfUWHTt2ZMKECVSqVImTJ0+yfv16IiMjqVSp0l3FFxH5q9Rp7Yo7BRERERH5G1EPYRERKRYODg7MmDGDwMBAGjZsSGpqKlu2bMHK6vqfpujoaLZt24aHhwf+/v4Fxhg2bBi9evWiT58+NGnSBAcHBzp37nxXeZUuXZovv/wST09PunTpgq+vL2FhYVy+fPm2dgyLiIiIiIiIPIxMeXl5ecWdhIiIyOMmMzMTJycnMjIyVEgWERERERGR+66on0O1Q1hERERERERERETkb0IFYREREREREREREZG/CRWERUQeY61atWLIkCE3HePl5cWcOXOMc5PJxIYNG+5rXiIiIiIiIiJSPEoWdwIiInL/rF+/nlKlSt3WnPT0dMqUKXOfMro/UlNTqVKlCocPH6Z+/fq3NddkMvHRRx/RqVOn+5KbiIiIiIiIyMNEBWERkceYi4vLbc9xc3O7D5mIiMjDwGvk5uJO4ZGROq1dcacgIiIicl+oZYSIyH1w8eJFevbsib29Pe7u7syePduifUNBbRmcnZ2JjY01zkeMGEGNGjUoXbo0VatWZcyYMVy9etW4HxUVRf369VmxYgVeXl44OTnx0ksvcfHiRWPMX1tGnD17lg4dOmBnZ0eVKlVYuXJlvtz/nFtqaiomk4n169fz9NNPU7p0aerVq8eePXss5qxbt47atWtjY2ODl5cX0dHRFvdXrFhBYGAgDg4OuLm58fLLL3P27FmLMd999x3t27fH0dERBwcHmjdvTkpKinF/yZIl+Pr6YmtrS82aNVmwYIFxr0qVKgD4+/tjMplo1aoVAPv376dt27Y88cQTODk50bJlSw4dOmTM8/LyAqBz586YTCbjHODjjz8mICAAW1tbqlatyvjx47l27Vq+9yUiIiIiIiLyKFFBWETkPhg6dCjx8fFs3LiRbdu2sXv3botCZFE4ODgQGxvLsWPHmDt3LosXL2b27NkWY1JSUtiwYQObNm1i06ZN7Nq1i2nTphUaMzQ0lFOnTrFjxw7+85//sGDBgnyF2YKMHj2aiIgIEhISqFGjBj169DCKowcPHqRbt2689NJLHDlyhKioKMaMGWNR3L569SoTJ04kMTGRDRs2kJqaSmhoqHH/559/pkWLFtjY2PDFF19w8OBB+vbta6yxcuVKxo4dy+TJk0lKSmLKlCmMGTOGZcuWAbBv3z4Atm/fTnp6OuvXrweuF+b79OnDV199xTfffIO3tzchISFG0Xz//v0AxMTEkJ6ebpzv3r2b3r178/rrr3Ps2DEWLVpEbGwskydPLvQdZWdnk5mZaXGIiIiIiIiIPGzUMkJE5B67ePEiy5YtY9WqVTzzzDPA9YJjhQoVbivOm2++afzs5eVFREQEq1evJjIy0riem5tLbGwsDg4OAPTq1Yu4uLgCC5c//PADn376Kfv27aNhw4YALF26FF9f31vmEhERQbt21//X2fHjx1O7dm1OnDhBzZo1mTVrFs888wxjxowBoEaNGhw7doy33nrLKPr27dvXiFW1alXmzZtHw4YNycrKwmw288477+Dk5MTq1auNnsc1atQw5owbN47o6Gi6dOkCXN8RfKNQ26dPH8qVKwdA2bJlLVpetG7d2uI53nvvPZydndm1axft27c35jk7O1vMGz9+PCNHjqRPnz5GzhMnTiQyMpJx48YV+I6mTp3K+PHjb/kuRURERERERIqTdgiLiNxjP/74I1evXqVRo0bGNScnJ3x8fG4rzpo1a2jWrBlubm6YzWbefPNN0tLSLMZ4eXkZxWAAd3f3Qnf8JiUlUbJkSRo0aGBcq1mzJs7OzrfMxc/Pz2INwFgnKSmJZs2aWYxv1qwZx48fJycnB7i+i7hDhw54enri4OBAy5YtAYznSUhIoHnz5gV+Ad6lS5dISUkhLCwMs9lsHJMmTbJoKVGQM2fO0L9/f7y9vXFycsLR0ZGsrKx87/GvEhMTmTBhgsV6/fv3Jz09nT/++KPAOaNGjSIjI8M4Tp06ddM1RERERERERIqDdgiLiBQDk8lEXl6exbU/9wfes2cPPXv2ZPz48QQFBRm7Z//am/evBVSTyURubu49z/fP65hMJoAir3Pp0iWCgoIICgpi5cqVlCtXjrS0NIKCgrhy5QoAdnZ2hc7PysoCYPHixTRu3NjiXokSJW66dp8+ffj999+ZO3culStXxsbGhiZNmhjr3mzN8ePHGzuS/8zW1rbAOTY2NtjY2Nw0roiIiIiIiEhxU0FYROQeq1q1KqVKlWL//v14enoCkJGRwQ8//ECLFi0AKFeuHOnp6cac48ePW+w8/frrr6lcuTKjR482rp08efKu8qpZsybXrl3j4MGDRsuI5ORkLly4cFdxfX19iY+Pt7gWHx9PjRo1KFGiBN9//z2///4706ZNw8PDA4ADBw5YjPfz82PZsmVcvXo1X5Hb1dWVChUq8OOPP9KzZ88Cc7C2tgYwdiT/OY8FCxYQEhICwKlTp/jvf/9rMaZUqVL55gUEBJCcnEz16tWL8gpEREREREREHhkqCIuI3GMODg706dOH4cOH4+LiQvny5Rk3bhxWVlbG7trWrVszf/58mjRpQk5ODiNGjLAohHp7e5OWlsbq1atp2LAhmzdv5qOPPrqrvHx8fAgODubVV19l4cKFlCxZkiFDhtx0d25RDBs2jIYNGzJx4kS6d+/Onj17mD9/PgsWLADA09MTa2tr3n77bQYMGMDRo0eZOHGiRYzw8HDefvttXnrpJUaNGoWTkxPffPMNjRo1wsfHh/HjxzN48GCcnJwIDg4mOzubAwcOcP78eYYOHUr58uWxs7Nj69atVKpUCVtbW5ycnPD29mbFihUEBgaSmZnJ8OHD8z2vl5cXcXFxNGvWDBsbG8qUKcPYsWNp3749np6edO3aFSsrKxITEzl69CiTJk26q/clIlKcUqe1K+4URERERKSYqYewiMh9MGvWLJo0aUL79u1p06YNzZo1w9fX12g3EB0djYeHB82bN+fll18mIiKC0qVLG/Off/553njjDcLDw6lfvz5ff/218aVtd+PGl9u1bNmSLl268Morr1C+fPm7ihkQEMDatWtZvXo1derUYezYsUyYMMH4Qrly5coRGxvLhx9+SK1atZg2bRozZ860iFG2bFm++OILsrKyaNmyJQ0aNGDx4sVGkbxfv34sWbKEmJgY6tatS8uWLYmNjaVKlSoAlCxZknnz5rFo0SIqVKhAx44dgetfmnf+/HkCAgLo1asXgwcPzve80dHRbNu2DQ8PD/z9/QEICgpi06ZNfP755zRs2JAnn3yS2bNnU7ly5bt6VyIiIiIiIiLFzZT31yaWIiJyz126dImKFSsSHR1NWFhYcacjD0BmZiZOTk5kZGTg6OhY3OmIiIiIiIjIY66on0PVMkJE5D44fPgw33//PY0aNSIjI4MJEyYAGDtXRURERERERESKgwrCIiL3ycyZM0lOTsba2poGDRqwe/dunnjiieJOS0RERERERET+xtRDWETkPvD39+fgwYNkZWVx7tw5tm3bRt26dYs7rUeGl5cXc+bMuSexUlNTMZlMJCQk3JN4IiIiIiIiIo8y7RAWEZHHmoeHB+np6dqdLSIiIiIiIoIKwiIi8pgrUaIEbm5uxZ2GiMhDwWvk5uJOQe6x1GntijsFERERecSoZYSIiDxwFy9epGfPntjb2+Pu7s7s2bNp1aoVQ4YMyTe2b9++tG/f3uLa1atXKV++PEuXLgUgNzeXGTNmUL16dWxsbPD09GTy5MlA/pYRO3fuxGQyERcXR2BgIKVLl6Zp06YkJydbrPHxxx8TEBCAra0tVatWZfz48Vy7du3evwwRERERERGRB0gFYREReeCGDh1KfHw8GzduZNu2bezevZtDhw4VOLZfv35s3bqV9PR049qmTZv4448/6N69OwCjRo1i2rRpjBkzhmPHjrFq1SpcXV1vmsPo0aOJjo7mwIEDlCxZkr59+xr3du/eTe/evXn99dc5duwYixYtIjY21igyFyQ7O5vMzEyLQ0RERERERORho4KwiIg8UBcvXmTZsmXMnDmTZ555hjp16hATE0NOTk6B45s2bYqPjw8rVqwwrsXExPDiiy9iNpu5ePEic+fOZcaMGfTp04dq1arx1FNP0a9fv5vmMXnyZFq2bEmtWrUYOXIkX3/9NZcvXwZg/PjxjBw5kj59+lC1alXatm3LxIkTWbRoUaHxpk6dipOTk3F4eHjcwdsRERERERERub9UEBYRkQfqxx9/5OrVqzRq1Mi45uTkhI+PT6Fz+vXrR0xMDABnzpzh008/NXb0JiUlkZ2dzTPPPHNbefj5+Rk/u7u7A3D27FkAEhMTmTBhAmaz2Tj69+9Peno6f/zxR4HxRo0aRUZGhnGcOnXqtvIREREREREReRD0pXIiIvLQ6927NyNHjmTPnj18/fXXVKlShebNmwNgZ2d3RzFLlSpl/GwymYDrvYgBsrKyGD9+PF26dMk3z9bWtsB4NjY22NjY3FEuIiIiIiIiIg+KdgiLiMgDVbVqVUqVKsX+/fuNaxkZGfzwww+FzilbtiydOnUiJiaG2NhY/vnPfxr3vL29sbOzIy4u7p7lGBAQQHJyMtWrV893WFnpT6eIiIiIiIg8urRDWEREHigHBwf69OnD8OHDcXFxoXz58owbNw4rKytjp25B+vXrR/v27cnJyaFPnz7GdVtbW0aMGEFkZCTW1tY0a9aM3377je+++46wsLA7ynHs2LG0b98eT09PunbtipWVFYmJiRw9epRJkybdUUwRkYdB6rR2xZ2CiIiIiBQzFYRFROSBmzVrFgMGDKB9+/Y4OjoSGRnJqVOnCm3HANCmTRvc3d2pXbs2FSpUsLg3ZswYSpYsydixY/nll19wd3dnwIABd5xfUFAQmzZtYsKECUyfPp1SpUpRs2bNW35RnYiIiIiIiMjDzpSXl5dX3EmIiMjf26VLl6hYsSLR0dGF7urNysqiYsWKxMTEFNjb92GTmZmJk5MTGRkZODo6Fnc6IiIiIiIi8pgr6udQ7RAWEZEH7vDhw3z//fc0atSIjIwMJkyYAEDHjh3zjc3NzeW///0v0dHRODs78/zzzz/odEVEREREREQeGyoIi4hIsZg5cybJyclYW1vToEEDdu/ezRNPPJFvXFpaGlWqVKFSpUrExsZSsqT+dImIiIiIiIjcKbWMEBGRu+Ll5cWQIUMYMmRIcadSoNDQUC5cuMCGDRse6LpqGSEiIiIiIiIPklpGiIjIQ2nnzp08/fTTnD9/Hmdn5/u+3ty5c9G/fYqIiIiIiIhcp4KwiIg81pycnIo7BRGRh4bXyM3FncIjLXVau+JOQUREROSuWRV3AiIi8nC7ePEiPXv2xN7eHnd3d2bPnk2rVq0KbBGRmpqKyWQiISHBuHbhwgVMJhM7d+4kNTWVp59+GoAyZcpgMpkIDQ0FYOvWrTz11FM4OztTtmxZ2rdvT0pKSr7Ya9eupXnz5tjZ2dGwYUN++OEH9u/fT2BgIGazmeeee47ffvvNmBcaGkqnTp2M81atWjF48GAiIyNxcXHBzc2NqKgoi+e4cOEC/fr1o1y5cjg6OtK6dWsSExPv+l2KiIiIiIiIFDcVhEVE5KaGDh1KfHw8GzduZNu2bezevZtDhw7dUSwPDw/WrVsHQHJyMunp6cydOxeAS5cuMXToUA4c+P/Yu/OorKv1j/vvG5BBQAYHREMQQUVFBYecB8ScM800VAQV61RkaoTypDjklGlqx585g5pmnTTzYHlUElMqxbHjECZFWIfUTEE0EYHnDx+/j7cMDqlYfV5r3Wtx7+8err3t1OJyn+u7j8TERCwsLOjTpw8FBQVmc0ycOJHx48dz4MABrKysGDhwINHR0cyfP59du3Zx8uRJYmNjS41j5cqV2Nvbs2fPHmbNmsWUKVPYtm2b8fyZZ57hzJkzfPbZZ+zfv5/AwEA6derEb7/9VuKcubm5ZGdnm31EREREREREHjUqGSEiIiW6ePEiK1euZO3atXTq1AmAuLg4qlWrdk/zWVpa4urqCkCVKlXMagg//fTTZn1XrFhB5cqVOXbsGA0aNDDao6Ki6NKlCwCvvPIKISEhJCYm0rp1awCGDx9OfHx8qXE0bNiQiRMnAuDr68uCBQtITEykc+fO7N69m71793LmzBlsbGwAmD17Nhs3buSjjz7iueeeK3bOGTNmMHny5Ds/DBEREREREZEyoBvCIiJSou+//568vDyaN29utDk5OVGnTp37vtZ3331HSEgI3t7eVKhQAS8vLwAyMjLM+jVs2ND42c3NDQB/f3+ztjNnzpS61s1zALi7uxtjDh8+TE5ODhUrVsTBwcH4/PDDD2YlLG4VExNDVlaW8Tl16tTtNy0iIiIiIiLykOmGsIiI3DcWFtf/nrGwsNBoy8vLu6OxvXr1wtPTk6VLl1KtWjUKCgpo0KABV69eNetXrlw542eTyVRs261lJm51c/9bx+Tk5ODu7k5SUlKRcTffaL6VjY2NcaNYRERERERE5FGlhLCIiJTI29ubcuXKkZKSQo0aNQDIysrixIkTtGvXrkj/ypUrA5CZmUlAQACA2QvmAKytrQHIz8832s6dO0dqaipLly6lbdu2AOzevfu+7+dOBAYG8ssvv2BlZWXcUhYRERERERH5q1BCWERESuTo6EhYWBivvfYarq6uVKlShYkTJ2JhYWHczr2ZnZ0dLVq0YObMmdSsWZMzZ84wfvx4sz6enp6YTCYSEhLo3r07dnZ2uLi4ULFiRZYsWYK7uzsZGRmMGzfuYW3TTHBwMC1btuSpp55i1qxZ1K5dm//9739s3ryZPn360LRp0zKJS0Tkfkif2aOsQxARERGRMqYawiIiUqq3336bli1b0rNnT4KDg2ndujV+fn7Y2toW23/FihVcu3aNJk2aMGrUKKZOnWr2vHr16kyePJlx48bh5uZGZGQkFhYWrFu3jv3799OgQQNGjx7NW2+99TC2V4TJZOLTTz+lXbt2DB06lNq1a/Pss8/y448/GjWLRURERERERP6sTIU3F3oUERG5jUuXLlG9enXmzJnD8OHDyzqcR1Z2djZOTk5kZWVRoUKFsg5HRERERERE/uLu9PdQlYwQEZFSHTx4kG+//ZbmzZuTlZXFlClTAOjdu3cZRyYiIiIiIiIid0sJYRERua3Zs2eTmpqKtbU1TZo0YdeuXVSqVKmswxIRERERERGRu6SEsIiIlCogIID9+/cX+8zLy4tRo0YxatSohxuUiIiIiIiIiNwTvVROREQemqSkJEwmExcuXCjrUAwmk4mNGzeWdRgiIiIiIiIiD4VuCIuIiIiI/E14jdtc1iHck/SZPco6BBEREZG/DN0QFhGREl28eJFBgwZhb2+Pu7s7c+fOpUOHDsWWiEhPT8dkMnHo0CGj7cKFC5hMJpKSkkhPT6djx44AuLi4YDKZCA8PB2DLli20adMGZ2dnKlasSM+ePUlLSysy94cffkjbtm2xs7OjWbNmnDhxgpSUFJo2bYqDgwPdunXj7NmzxriUlBQ6d+5MpUqVcHJyon379hw4cMB47uXlBUCfPn0wmUzGd4BPPvmEwMBAbG1t8fb2ZvLkyVy7du2PH6qIiIiIiIhIGVJCWERESjRmzBiSk5PZtGkT27ZtY9euXWYJ1bvh4eHB+vXrAUhNTSUzM5P58+cDcOnSJcaMGcO+fftITEzEwsKCPn36UFBQYDbHxIkTGT9+PAcOHMDKyoqBAwcSHR3N/Pnz2bVrFydPniQ2Ntbof/HiRcLCwti9ezdff/01vr6+dO/enYsXLwLXE8YAcXFxZGZmGt937drFkCFDeOWVVzh27BiLFy8mPj6eadOmlbi/3NxcsrOzzT4iIiIiIiIijxqVjBARkWJdvHiRlStXsnbtWjp16gRcT5xWq1btnuaztLTE1dUVgCpVquDs7Gw8e/rpp836rlixgsqVK3Ps2DEaNGhgtEdFRdGlSxcAXnnlFUJCQkhMTKR169YADB8+nPj4eKN/UFCQ2bxLlizB2dmZnTt30rNnTypXrgyAs7MzVatWNfpNnjyZcePGERYWBoC3tzdvvPEG0dHRTJw4sdj9zZgxg8mTJ9/NkYiIiIiIiIg8dLohLCIixfr+++/Jy8ujefPmRpuTkxN16tS572t99913hISE4O3tTYUKFYzSDRkZGWb9GjZsaPzs5uYGgL+/v1nbmTNnjO+nT59mxIgR+Pr64uTkRIUKFcjJySky760OHz7MlClTcHBwMD4jRowgMzOTy5cvFzsmJiaGrKws43Pq1Km7OgMRERERERGRh0E3hEVE5L6wsLj+d4yFhYVGW15e3h2N7dWrF56enixdupRq1apRUFBAgwYNuHr1qlm/cuXKGT+bTKZi224uMxEWFsa5c+eYP38+np6e2NjY0LJlyyLz3ionJ4fJkyfTt2/fIs9sbW2LHWNjY4ONjc3tNysiIiIiIiJShpQQFhGRYnl7e1OuXDlSUlKoUaMGAFlZWZw4cYJ27doV6X+j/EJmZiYBAQEAZi+YA7C2tgYgPz/faDt37hypqaksXbqUtm3bArB79+77sofk5GQWLlxI9+7dATh16hS//vqrWZ9y5cqZxQMQGBhIamoqPj4+9yUOEZFHRfrMHmUdgoiIiIiUMSWERUSkWI6OjoSFhfHaa6/h6upKlSpVmDhxIhYWFsbt3JvZ2dnRokULZs6cSc2aNTlz5gzjx4836+Pp6YnJZCIhIYHu3btjZ2eHi4sLFStWZMmSJbi7u5ORkcG4cePuyx58fX1ZvXo1TZs2JTs7m9deew07OzuzPl5eXkYdYhsbG1xcXIiNjaVnz57UqFGDfv36YWFhweHDhzly5AhTp069L7GJiIiIiIiIlAXVEBYRkRK9/fbbtGzZkp49exIcHEzr1q3x8/MrsWzCihUruHbtGk2aNGHUqFFFkqfVq1c3Xtjm5uZGZGQkFhYWrFu3jv3799OgQQNGjx7NW2+9dV/iX758OefPnycwMJDQ0FBGjhxJlSpVzPrMmTOHbdu24eHhYdxs7tKlCwkJCWzdupVmzZrRokUL5s6di6en532JS0RERERERKSsmApvLvYoIiJSikuXLlG9enXmzJnD8OHDyzqcR1p2djZOTk5kZWVRoUKFsg5HRERERERE/uLu9PdQlYwQEZESHTx4kG+//ZbmzZuTlZXFlClTAOjdu3cZRyYiIiIiIiIi90IlI0Tkb62wsJDnnnsOV1dXTCZTkZegPUhJSUmYTCYuXLjwh+bx8vJi3rx59yWm4syePZtGjRoRHBzMpUuX2LVrF5UqVXrg64qIiIiIiIjI/acbwiLyt7Zlyxbi4+NJSkrC29ubSpUqPbS1W7VqRWZmJk5OTn9onpSUFOzt7e9TVOYCAgLYv3//fZkrKSmJjh07cv78eZydne/LnH+UyWTi448/5qmnnirrUEREREREREQeCiWEReRvLS0tDXd3d1q1anVP4wsLC8nPz8fK6u7/dWptbU3VqlXvad2bVa5c+Q/PISIifw9e4zaXdQh/Kukze5R1CCIiIiL3nUpGiMjfVnh4OC+//DIZGRmYTCa8vLzIzc1l5MiRVKlSBVtbW9q0aUNKSoox5kaZh88++4wmTZpgY2PD7t276dChAy+//DKjRo3CxcUFNzc3li5dyqVLlxg6dCiOjo74+Pjw2WefFZnrRsmI+Ph4nJ2dSUhIoE6dOpQvX55+/fpx+fJlVq5ciZeXFy4uLowcOZL8/HxjnltLN5hMJpYtW0afPn0oX748vr6+bNq0yWzvO3fupHnz5tjY2ODu7s64ceO4du2a8fzixYsMGjQIe3t73N3dmTt3Lh06dGDUqFHFnmV6enqRkhsXLlzAZDKRlJREeno6HTt2BMDFxQWTyUR4eDhw/ZZ2mzZtcHZ2pmLFivTs2ZO0tLQic3/44Ye0bdsWOzs7mjVrxokTJ0hJSaFp06Y4ODjQrVs3zp49a4xLSUmhc+fOVKpUCScnJ9q3b8+BAwfMzg2gT58+xp//DZ988gmBgYHY2tri7e3N5MmTzc5HRERERERE5M9KCWER+duaP38+U6ZM4bHHHiMzM5OUlBSio6NZv349K1eu5MCBA/j4+NClSxd+++03s7Hjxo1j5syZHD9+nIYNGwKwcuVKKlWqxN69e3n55Zd54YUXeOaZZ2jVqhUHDhzgiSeeIDQ0lMuXL5cY0+XLl3nnnXdYt24dW7ZsISkpiT59+vDpp5/y6aefsnr1ahYvXsxHH31U6t4mT55M//79+eabb+jevTuDBg0y9vDzzz/TvXt3mjVrxuHDh3n33XdZvnw5U6dONcaPGTOG5ORkNm3axLZt29i1a5dZMvVueXh4sH79egBSU1PJzMxk/vz5AFy6dIkxY8awb98+EhMTsbCwoE+fPhQUFJjNMXHiRMaPH8+BAwewsrJi4MCBREdHM3/+fHbt2sXJkyeJjY01+l+8eJGwsDB2797N119/ja+vL927d+fixYsARqI/Li7O+PMH2LVrF0OGDOGVV17h2LFjLF68mPj4eKZNm3bP+xcRERERERF5VKhkhIj8bTk5OeHo6IilpSVVq1bl0qVLvPvuu8THx9OtWzcAli5dyrZt21i+fDmvvfaaMXbKlCl07tzZbL5GjRoxfvx4AGJiYpg5cyaVKlVixIgRAMTGxvLuu+/yzTff0KJFi2JjysvL491336VWrVoA9OvXj9WrV3P69GkcHByoV68eHTt2ZMeOHQwYMKDEvYWHhxMSEgLA9OnTeeedd9i7dy9du3Zl4cKFeHh4sGDBAkwmE3Xr1uV///sfY8eOJTY2lkuXLrFy5UrWrl1Lp06dgOtJ02rVqt3LMQNgaWmJq6srAFWqVDGrIfz000+b9V2xYgWVK1fm2LFjNGjQwGiPioqiS5cuALzyyiuEhISQmJhI69atARg+fDjx8fFG/6CgILN5lyxZgrOzMzt37qRnz55GqQ1nZ2ez0h2TJ09m3LhxhIWFAeDt7c0bb7xBdHQ0EydOLHGPubm55ObmGt+zs7Nvey4iIiIiIiIiD5tuCIuI/H/S0tLIy8szEowA5cqVo3nz5hw/ftysb9OmTYuMv3FTGK4nQCtWrIi/v7/R5ubmBsCZM2dKjKF8+fJGMvjGGC8vLxwcHMzaSpvj1ljs7e2pUKGCMeb48eO0bNkSk8lk9GndujU5OTn89NNPfP/99+Tl5dG8eXPjuZOTE3Xq1Cl1zXv13XffERISgre3NxUqVDBKN2RkZJS4pxtneev53nwup0+fZsSIEfj6+uLk5ESFChXIyckpMu+tDh8+zJQpU3BwcDA+I0aMIDMzs9Tb3TNmzMDJycn4eHh43PEZiIiIiIiIiDwsuiEsInIP7O3ti7SVK1fO7LvJZDJru5GAvbUUwt3McaOttDlKmud2Y/4IC4vrf79YWFhotOXl5d3R2F69euHp6cnSpUupVq0aBQUFNGjQgKtXr5r1K+4sb227eY9hYWGcO3eO+fPn4+npiY2NDS1btiwy761ycnKYPHkyffv2LfLM1ta2xHExMTGMGTPG+J6dna2ksIiIiIiIiDxydENYROT/U6tWLaytrUlOTjba8vLySElJoV69emUY2f3l5+fHV199ZZa8TU5OxtHRkcceewxvb2/KlStn9jK9rKwsTpw4UeKcN8ovZGZmGm03v2AOwNraGsDshXjnzp0jNTWV8ePH06lTJ/z8/Dh//vwf2t8NycnJjBw5ku7du1O/fn1sbGz49ddfzfqUK1fOLB6AwMBAUlNT8fHxKfK5kfgujo2NDRUqVDD7iIiIiIiIiDxqdENYROT/Y29vzwsvvMBrr72Gq6srNWrUYNasWVy+fJnhw4eXdXj3zYsvvsi8efN4+eWXiYyMJDU1lYkTJzJmzBgsLCxwdHQkLCzMOIcqVaowceJELCwszMpM3MzOzo4WLVowc+ZMatasyZkzZ4x6yjd4enpiMplISEige/fu2NnZ4eLiQsWKFVmyZAnu7u5kZGQwbty4+7JPX19fVq9eTdOmTcnOzua1117Dzs7OrI+Xl5dRh9jGxgYXFxdiY2Pp2bMnNWrUoF+/flhYWHD48GGOHDli9uI9EZE/o/SZPco6BBEREREpY7ohLCJyk5kzZ/L0008TGhpKYGAgJ0+e5D//+Q8uLi5lHdp9U716dT799FP27t1Lo0aN+Mc//sHw4cPNErhvv/02LVu2pGfPngQHB9O6dWv8/PxKLZmwYsUKrl27RpMmTRg1alSR5Gn16tWNF7a5ubkRGRmJhYUF69atY//+/TRo0IDRo0fz1ltv3Zd9Ll++nPPnzxMYGEhoaCgjR46kSpUqZn3mzJnDtm3b8PDwICAgAIAuXbqQkJDA1q1badasGS1atGDu3Ll4enrel7hEREREREREypKp8Ob/z7CIiEgxLl26RPXq1ZkzZ85f6rb0g5SdnY2TkxNZWVkqHyEiIiIiIiIP3J3+HqqSESIiUsTBgwf59ttvad68OVlZWUyZMgWA3r17l3FkIiIiIiIiIvJHKCEsIiLFmj17NqmpqVhbW9OkSRN27dpFpUqVyjosEREREREREfkDVENYROQvrEOHDowaNequxwUEBLB//35ycnJo2LAh9evXx9/f//4HeJN7jVVERERERERE7pwSwiIifwFJSUmYTCYuXLhQ1qH86ZhMJjZu3FjWYYiIiIiIiIg8FCoZISIiIiLyN+E1bvMfGp8+s8d9ikREREREyopuCIuI/EkUFBQwY8YMatasiZ2dHY0aNeKjjz4iPT2djh07AuDi4oLJZCI8PNxsXHR0NK6urlStWpVJkyYZz4YNG0bPnj3N1snLy6NKlSosX7682Di8vLyYOnUqQ4YMwcHBAU9PTzZt2sTZs2fp3bs3Dg4ONGzYkH379hljzp07R0hICNWrV6d8+fL4+/vz/vvvl7rf8+fPM2TIEFxcXChfvjzdunXju+++M57Hx8fj7OzMf/7zH/z8/HBwcKBr165kZmYafVJSUujcuTOVKlXCycmJ9u3bc+DAAbO9APTp0weTyWR8B/jkk08IDAzE1tYWb29vJk+ezLVr10qNWURERERERORRp4SwiMifxIwZM1i1ahWLFi3i6NGjjB49msGDB/Pjjz+yfv16AFJTU8nMzGT+/PnGuJUrV2Jvb8+ePXuYNWsWU6ZMYdu2bQBERESwZcsWsyRqQkICly9fZsCAASXGMnfuXFq3bs3Bgwfp0aMHoaGhDBkyhMGDB3PgwAFq1arFkCFDKCwsBODKlSs0adKEzZs3c+TIEZ577jlCQ0PZu3dviWuEh4ezb98+Nm3axFdffUVhYSHdu3cnLy/P6HP58mVmz57N6tWr+eKLL8jIyCAqKsp4fvHiRcLCwti9ezdff/01vr6+dO/enYsXLwLXE8YAcXFxZGZmGt937drFkCFDeOWVVzh27BiLFy8mPj6eadOm3dkfloiIiIiIiMgjylR447d1ERF5ZOXm5uLq6sr27dtp2bKl0R4REcHly5d57rnn6NixI+fPn8fZ2dl43qFDB/Lz89m1a5fR1rx5c4KCgpg5cyYA9evXJywsjOjoaACefPJJKlasSFxcnDFH48aNmTdvHnD9Vm3btm1ZvXo1AL/88gvu7u5MmDCBKVOmAPD111/TsmVLMjMzqVq1arF76tmzJ3Xr1mX27NlF1vnuu++oXbs2ycnJtGrVCrh+y9jDw4OVK1fyzDPPEB8fz9ChQzl58iS1atUCYOHChUyZMoVffvml2DULCgpwdnZm7dq1xs1ok8nExx9/zFNPPWX0Cw4OplOnTsTExBht7733HtHR0fzvf/8r8c8oNzfX+J6dnY2HhwdZWVlUqFCh2DEiIg+bSkaIiIiI/HVlZ2fj5OR0299DVUNYRORP4OTJk1y+fJnOnTubtV+9epWAgIBSxzZs2NDsu7u7O2fOnDG+R0REsGTJEqKjozl9+jSfffYZn3/++R3P6ebmBoC/v3+RtjNnzlC1alXy8/OZPn06H374IT///DNXr14lNzeX8uXLFzv/8ePHsbKy4vHHHzfaKlasSJ06dTh+/LjRVr58eSMZXNzeTp8+zfjx40lKSuLMmTPk5+dz+fJlMjIySt3f4cOHSU5ONrsRnJ+fz5UrV7h8+XKxcc+YMYPJkyeXOq+IiIiIiIhIWVNCWETkTyAnJweAzZs3U716dbNnNjY2pKWllTi2XLlyZt9NJhMFBQXG9yFDhjBu3Di++uorvvzyS2rWrEnbtm1LjefmOU0mU4ltN9Z56623mD9/PvPmzcPf3x97e3tGjRrF1atXS13ndorb283/x5ewsDDOnTvH/Pnz8fT0xMbGhpYtW9523ZycHCZPnkzfvn2LPLO1tS12TExMDGPGjDG+37ghLCIiIiIiIvIoUUJYRORPoF69etjY2JCRkUH79u2LPD916hRw/Rbr3apYsSJPPfUUcXFxfPXVVwwdOvQPx3ur5ORkevfuzeDBg4HrieITJ05Qr169Yvv7+flx7do19uzZY1YyIjU1tcQxJa27cOFCunfvDlw/p19//dWsT7ly5YqcW2BgIKmpqfj4+NzxWjY2NtjY2NxxfxEREREREZGyoISwiMifgKOjI1FRUYwePZqCggLatGlDVlYWycnJVKhQgeDgYEwmEwkJCXTv3h07OzscHBzueP6IiAh69uxJfn4+YWFh9z1+X19fPvroI7788ktcXFx4++23OX36dInJXV9fX3r37s2IESNYvHgxjo6OjBs3jurVq9O7d++7Wnf16tU0bdqU7OxsXnvtNezs7Mz6eHl5kZiYSOvWrbGxscHFxYXY2Fh69uxJjRo16NevHxYWFhw+fJgjR44wderUP3QWIiJlSTWARURERMSirAMQEZE788YbbzBhwgRmzJiBn58fXbt2ZfPmzdSsWZPq1aszefJkxo0bh5ubG5GRkXc1d3BwMO7u7nTp0oVq1ard99jHjx9PYGAgXbp0oUOHDlStWtXsJW7FiYuLo0mTJvTs2ZOWLVtSWFjIp59+WqRMRGmWL1/O+fPnCQwMJDQ0lJEjR1KlShWzPnPmzGHbtm14eHgY9Zi7dOlCQkICW7dupVmzZrRo0YK5c+fi6el513sXEREREREReZSYCm8utigiIn9LOTk5VK9enbi4uGLr5srdu9O3u4qIiIiIiIjcD3f6e6hKRoiI/I0VFBTw66+/MmfOHJydnXnyySfLOiQREREREREReYCUEBYR+RvLyMigZs2aPPbYY8THx2Nlpf8siIiIiIiIiPyVqYawiPztdOjQgVGjRpV1GHckPj4eZ2fnBza/l5cXhYWFnDp1ik6dOj2wdR4ULy8v5s2bZ3z/5Zdf6Ny5M/b29g/03ERERERERET+rJQQFhF5hA0YMIATJ0488HUmTZpE3bp1sbe3x8XFheDgYPbs2XNHY48ePUr//v2pXLkyNjY21K5dm9jYWC5fvvyAoy5q7ty5ZGZmcujQoTs+tweddBcRERERERF5lOj/Gywi8gizs7PDzs7uga9Tu3ZtFixYgLe3N7///jtz587liSee4OTJk1SuXLnEcV9//TXBwcEEBwezefNm3Nzc2Lt3L6+++iqJiYns2LEDa2vrBx7/DWlpaTRp0gRfX9+HtqaIgNe4zWUdgtyh9Jk9yjoEERERESljuiEsIn9ply5dYsiQITg4OODu7s6cOXOK9Dl//jxDhgzBxcWF8uXL061bN7777jvj+Y0bpBs3bsTX1xdbW1u6dOnCqVOnjD5paWn07t0bNzc3HBwcaNasGdu3bzdbx8vLi6lTpxrxeHp6smnTJs6ePUvv3r1xcHCgYcOG7Nu3r8jaN0yaNInGjRuzevVqvLy8cHJy4tlnn+XixYtGn4KCAmbMmEHNmjWxs7OjUaNGfPTRR6We08CBAwkODsbb25v69evz9ttvk52dzTfffFPimMLCQoYPH46fnx8bNmygefPmeHp68swzz/Dvf/+br776irlz55a67kcffYS/vz92dnZUrFiR4OBgLl26BBRf2uOpp54iPDy82Lm8vLxYv349q1atwmQyGf3efvtt/P39sbe3x8PDgxdffJGcnBwAkpKSGDp0KFlZWZhMJkwmE5MmTQIgNzeXqKgoqlevjr29PY8//jhJSUml7kdERERERETkUaeEsIj8pb322mvs3LmTTz75hK1bt5KUlMSBAwfM+oSHh7Nv3z42bdrEV199RWFhId27dycvL8/oc/nyZaZNm8aqVatITk7mwoULPPvss8bznJwcunfvTmJiIgcPHqRr16706tWLjIwMs7Xmzp1L69atOXjwID169CA0NJQhQ4YwePBgDhw4QK1atRgyZAiFhYUl7iktLY2NGzeSkJBAQkICO3fuZObMmcbzGTNmsGrVKhYtWsTRo0cZPXo0gwcPZufOnXd0ZlevXmXJkiU4OTnRqFGjEvsdOnSIY8eOMWbMGCwszP9z0qhRI4KDg3n//fdLHJ+ZmUlISAjDhg3j+PHjJCUl0bdv31L3XpqUlBS6du1K//79yczMZP78+QBYWFjwzjvvcPToUVauXMnnn39OdHQ0AK1atWLevHlUqFCBzMxMMjMziYqKAiAyMpKvvvqKdevW8c033/DMM8/QtWtXs78sEBEREREREfmzUckIEfnLysnJYfny5bz33nvGC9NWrlzJY489ZvT57rvv2LRpE8nJybRq1QqANWvW4OHhwcaNG3nmmWcAyMvLY8GCBTz++OPGPH5+fuzdu5fmzZvTqFEjs+TpG2+8wccff8ymTZuIjIw02rt3787zzz8PQGxsLO+++y7NmjUz1hk7diwtW7bk9OnTVK1atdh9FRQUEB8fj6OjIwChoaEkJiYybdo0cnNzmT59Otu3b6dly5YAeHt7s3v3bhYvXkz79u1LPK+EhASeffZZLl++jLu7O9u2baNSpUol9r9Ro9fPz6/Y535+fuzevbvE8ZmZmVy7do2+ffvi6ekJgL+/f4n9b+dGDWM7Ozuzs7v5lvGNW9r/+Mc/WLhwIdbW1jg5OWEymczGZGRkEBcXR0ZGBtWqVQMgKiqKLVu2EBcXx/Tp04usn5ubS25urvE9Ozv7nvciIiIiIiIi8qDohrCI/GWlpaVx9epVI4kL4OrqSp06dYzvx48fx8rKyqxPxYoVqVOnDsePHzfarKysaNasmfG9bt26ODs7G31ycnKIiorCz88PZ2dnHBwcOH78eJEbwg0bNjR+dnNzA8yToDfazpw5U+K+vLy8jGQwgLu7u9H/5MmTXL58mc6dO+Pg4GB8Vq1aRVpaWmnHRceOHTl06BBffvmlcdP2xrzdunUz5qpfv77ZuDu50btr1y6zeNasWUOjRo3o1KkT/v7+PPPMMyxdupTz58/fdq67tX37djp16kT16tVxdHQkNDSUc+fOlfrSu//+97/k5+dTu3Zts7h37txZ4jnOmDEDJycn4+Ph4XHf9yIiIiIiIiLyR+mGsIjIfRAVFcW2bduYPXs2Pj4+2NnZ0a9fP65evWrWr1y5csbPJpOpxLaCgoIS17q5/40xN/rfqI27efNmqlevbtbPxsam1D3Y29vj4+ODj48PLVq0wNfXl+XLlxMTE8OyZcv4/fffzdavXbs2cD2pHhAQUGS+48ePG32aNm3KoUOHjGdubm5YWlqybds2vvzyS7Zu3co///lPXn/9dfbs2UPNmjWxsLAokmy+PAkYvwABAABJREFUuYzHnUhPT6dnz5688MILTJs2DVdXV3bv3s3w4cO5evUq5cuXL3ZcTk4OlpaW7N+/H0tLS7NnDg4OxY6JiYlhzJgxxvfs7GwlhUVEREREROSRo4SwiPxl1apVi3LlyrFnzx5q1KgBXH+B3IkTJ4zSCX5+fly7do09e/YYJSPOnTtHamoq9erVM+a6du0a+/bto3nz5gCkpqZy4cIFo1xCcnIy4eHh9OnTB7ieUExPT39YWzXUq1cPGxsbMjIySi0PcScKCgqMEgi3JpcBGjduTN26dZk7dy7PPvusWR3hw4cPs337dmbMmAGAnZ0dPj4+ReYwmUy0bt2a1q1bExsbi6enJx9//DFjxoyhcuXKZGZmGn3z8/M5cuQIHTt2vOM97N+/n4KCAubMmWPE9+GHH5r1sba2Jj8/36wtICCA/Px8zpw5Q9u2be9oLRsbm9sm3UVERERERETKmhLCIvKX5eDgwPDhw3nttdeoWLEiVapU4fXXXzdLXPr6+tK7d29GjBjB4sWLcXR0ZNy4cVSvXp3evXsb/cqVK8fLL7/MO++8g5WVFZGRkbRo0cJIEPv6+rJhwwZ69eqFyWRiwoQJpd7yfVAcHR2Jiopi9OjRFBQU0KZNG7KyskhOTqZChQqEhYUVGXPp0iWmTZvGk08+ibu7O7/++iv/93//x88//2zUNi6OyWRi+fLldO7cmaeffpqYmBiqVq3Knj17ePXVV2nZsqVZ/d5b7dmzh8TERJ544gmqVKnCnj17OHv2rJFkDwoKYsyYMWzevJlatWrx9ttvc+HChbs6Dx8fH/Ly8vjnP/9Jr169SE5OZtGiRWZ9vLy8yMnJITExkUaNGlG+fHlq167NoEGDGDJkCHPmzCEgIICzZ8+SmJhIw4YN6dGjx13FIfJXlz5T/5sQEREREfmzUA1hEflLe+utt2jbti29evUiODiYNm3a0KRJE7M+cXFxNGnShJ49e9KyZUsKCwv59NNPzUozlC9fnrFjxzJw4EBat26Ng4MDH3zwgfH87bffxsXFhVatWtGrVy+6dOlCYGDgQ9vnzd544w0mTJjAjBkz8PPzo2vXrmzevJmaNWsW29/S0pJvv/2Wp59+mtq1a9OrVy/OnTvHrl27itQLvlWrVq34+uuvsbS0pFu3bvj4+BATE0NYWBjbtm0r9cZshQoV+OKLL+jevTu1a9dm/PjxzJkzh27dugEwbNgwwsLCGDJkCO3bt8fb2/uubgcDNGrUiLfffps333yTBg0asGbNGuPW8s17+Mc//sGAAQOoXLkys2bNAq7/czFkyBBeffVV6tSpw1NPPUVKSopx21xERERERETkz8hUeCdvAxIR+RuLj49n1KhRd307Vf7esrOzcXJyIisriwoVKpR1OCIiIiIiIvIXd6e/h+qGsIiIiIiIiIiIiMjfhBLCIiIiIiIiIiIiIn8TSgiLiNxGeHj4Qy8X0aFDB+OFbF5eXsybN++hrn/DpEmTaNy48UOf4+b93w8mk4mNGzfet/lERERERERE/qysyjoAEREpXUpKCvb29g98HZPJxMcff8xTTz31wNd62DIzM3FxcSnrMERERERERETKnBLCIiKPuMqVK5d1CH96VatWLesQREQeCV7jNpd1CPdF+sweZR2CiIiIyJ+WSkaIiJSxS5cuMWTIEBwcHHB3d2fOnDlmz28tGWEymVi8eDE9e/akfPny+Pn58dVXX3Hy5Ek6dOiAvb09rVq1Ii0tzWyeTz75hMDAQGxtbfH29mby5Mlcu3bNWAOgT58+mEwm4/sNq1evxsvLCycnJ5599lkuXrwIwKpVq6hYsSK5ublm/Z966ilCQ0OL3e+1a9cYOXIkzs7OVKxYkbFjxxIWFlbizeQpU6bQoEGDIu2NGzdmwoQJxvcVK1ZQv359bGxscHd3JzIy0uzMbpSMSE9Px2QysWHDBjp27Ej58uVp1KgRX331ldn8u3fvpm3bttjZ2eHh4cHIkSO5dOlSsTGKiIiIiIiI/FkoISwiUsZee+01du7cySeffMLWrVtJSkriwIEDpY554403GDJkCIcOHaJu3boMHDiQ559/npiYGPbt20dhYaFZQnTXrl0MGTKEV155hWPHjrF48WLi4+OZNm0acL0sBUBcXByZmZnGd4C0tDQ2btxIQkICCQkJ7Ny5k5kzZwLwzDPPkJ+fz6ZNm4z+Z86cYfPmzQwbNqzY2N98803WrFlDXFwcycnJZGdnl1rfd9iwYRw/ftwspoMHD/LNN98wdOhQAN59911eeuklnnvuOf773/+yadMmfHx8Sj3D119/naioKA4dOkTt2rUJCQkxEuRpaWl07dqVp59+mm+++YYPPviA3bt3m53prXJzc8nOzjb7iIiIiIiIiDxqlBAWESlDOTk5LF++nNmzZ9OpUyf8/f1ZuXKlkZgsydChQ+nfvz+1a9dm7NixpKenM2jQILp06YKfnx+vvPIKSUlJRv/Jkyczbtw4wsLC8Pb2pnPnzrzxxhssXrwY+P/LUjg7O1O1alWzMhUFBQXEx8fToEED2rZtS2hoKImJiQDY2dkxcOBA4uLijP7vvfceNWrUoEOHDsXG/s9//pOYmBj69OlD3bp1WbBgAc7OziXu9bHHHqNLly5ma8TFxdG+fXu8vb0BmDp1Kq+++iqvvPIKtWvXplmzZrd9KV1UVBQ9evSgdu3aTJ48mR9//JGTJ08CMGPGDAYNGsSoUaPw9fWlVatWvPPOO6xatYorV64UO9+MGTNwcnIyPh4eHqWuLyIiIiIiIlIWlBAWESlDaWlpXL16lccff9xoc3V1pU6dOqWOa9iwofGzm5sbAP7+/mZtV65cMW6pHj58mClTpuDg4GB8RowYQWZmJpcvXy51LS8vLxwdHY3v7u7unDlzxvg+YsQItm7dys8//wxAfHw84eHhmEymInNlZWVx+vRpmjdvbrRZWlrSpEmTUmMYMWIE77//PleuXOHq1ausXbvWuIF85swZ/ve//9GpU6dS57jVzWfo7u5uzAXXzys+Pt7svLp06UJBQQE//PBDsfPFxMSQlZVlfE6dOnVX8YiIiIiIiIg8DHqpnIjIn1C5cuWMn28kXotrKygoAK7fRJ48eTJ9+/YtMpetre0dr3Vj7hvzAgQEBNCoUSNWrVrFE088wdGjR9m8+f6+tKhXr17Y2Njw8ccfY21tTV5eHv369QOu31K+F7c7r+eff56RI0cWGVejRo1i57OxscHGxuaeYhERERERERF5WJQQFhEpQ7Vq1aJcuXLs2bPHSDSeP3+eEydO0L59+/u2TmBgIKmpqaXW1S1Xrhz5+fn3NH9ERATz5s3j559/Jjg4uMRyCU5OTri5uZGSkkK7du0AyM/P58CBAzRu3LjE+a2srAgLCyMuLg5ra2ueffZZIxHs6OiIl5cXiYmJdOzY8Z7iv1VgYCDHjh27bR1iERERERERkT8bJYRFRMqQg4MDw4cP57XXXqNixYpUqVKF119/HQuL+1vRJzY2lp49e1KjRg369euHhYUFhw8f5siRI0ydOhXASKq2bt0aGxsbXFxc7nj+gQMHEhUVxdKlS1m1alWpfV9++WVmzJiBj48PdevW5Z///Cfnz58vtsTEzSIiIvDz8wMgOTnZ7NmkSZP4xz/+QZUqVejWrRsXL14kOTmZl19++Y73cLOxY8fSokULIiMjiYiIwN7enmPHjrFt2zYWLFhwT3OKiDwK0mf2KOsQRERERKSMqYawiEgZe+utt2jbti29evUiODiYNm3a3Lam7t3q0qULCQkJbN26lWbNmtGiRQvmzp2Lp6en0WfOnDls27YNDw8PAgIC7mp+Jycnnn76aRwcHHjqqadK7Tt27FhCQkIYMmQILVu2NOrz3q50xY2Xu9WtW9es5jJAWFgY8+bNY+HChdSvX5+ePXvy3Xff3dUebtawYUN27tzJiRMnaNu2LQEBAcTGxlKtWrV7nlNERERERETkUWAqLCwsLOsgRETkz69Tp07Ur1+fd955567GFRQU4OfnR//+/XnjjTdK7FdYWIivry8vvvgiY8aM+aPhPnDZ2dk4OTmRlZVFhQoVyjocERERERER+Yu7099DVTJCRET+kPPnz5OUlERSUhILFy68bf8ff/yRrVu30r59e3Jzc1mwYAE//PADAwcOLHHM2bNnWbduHb/88gtDhw69n+GLiIiIiIiI/K0oISwiIn9IQEAA58+f580336ROnTq37W9hYUF8fDxRUVEUFhbSoEEDtm/fbtQHLk6VKlWoVKkSS5YsuavaxiIiIiIiIiJiTjWERR5xHTp0YNSoUcZ3Ly8v5s2bVyaxTJo0icaNG5f5HHcqPDz8tvVsb2Uymdi4ceMDiedW7dq1Y+3atQ9lrQcpPT2drKwsoqKi7qi/h4cHycnJZGVlkZ2dzZdffkm7du1KHVNYWMjZs2dLvUX8ILVo0YL169eXydoiIiIiIiIi95MSwiJ/MikpKTz33HMPfJ2HmRh9UObPn098fPxdjcnMzKRbt24PJqCbbNq0idOnT/Pss88abYcPH+bJJ5+kSpUq2Nra4uXlxYABAzhz5gxwPfFqMpmMj6OjI/Xr1+ell14q8gK1+Ph4TCZTsbdu//Wvf2EymfDy8iry7Pfff8fV1ZVKlSqRm5t7fzddip9++glra2saNGhQ7POb921vb4+vry/h4eHs37/frF9SUhImkwkXFxeuXLli9iwlJcWYozh169bFxsaGX375pciz8ePHM27cOAoKCu5xhyIiIiIiIiKPBpWMEPmTqVy5clmHUOby8vIoV67cbfs5OTnd9dxVq1a9l5Du2jvvvMPQoUOxsLj+93Jnz56lU6dO9OzZk//85z84OzuTnp7Opk2buHTpktnY7du3U79+fS5fvsx///tf5s+fT6NGjfj3v/9Np06djH729vacOXOGr776ipYtWxrty5cvp0aNGsXGtX79eurXr09hYSEbN25kwIABd7Wv8PBwvLy8mDRp0l2Ni4+Pp3///nzxxRfs2bOHxx9/vEifuLg4unbtypUrVzhx4gRLlizh8ccfZ8WKFQwZMsSsr6OjIx9//DEhISFG2419Z2RkFJl79+7d/P777/Tr14+VK1cyduxYs+fdunUjIiKCzz77jB49etzV3kREHiVe4zaXdQgiD1T6TP13WkRE5HZ0Q1jkEXLp0iWGDBmCg4MD7u7uzJkzp0ifW0tGmEwmFi9eTM+ePSlfvjx+fn589dVXnDx5kg4dOmBvb0+rVq1IS0szm+eTTz4hMDAQW1tbvL29mTx5MteuXTPWAOjTp0+xN0lXr16Nl5cXTk5OPPvss1y8eBGAVatWUbFixSI3S5966ilCQ0OL3XNKSgqdO3emUqVKODk50b59ew4cOGDWx2Qy8e677/Lkk09ib2/PtGnTAJg6dSpVqlTB0dGRiIgIxo0bZ1aO4taSER06dGDkyJFER0fj6upK1apViyQub74ZfeNG7oYNG+jYsSPly5enUaNGfPXVV2Zjdu/eTdu2bbGzs8PDw4ORI0cWSeLe7OzZs3z++ef06tXLaLtRQmHZsmUEBARQs2ZNOnbsyNy5c6lZs6bZ+IoVK1K1alW8vb3p3bs327dv5/HHH2f48OHk5+cb/aysrBg4cCArVqww2n766SeSkpJKLL2wfPlyBg8ezODBg1m+fHmJe7ifCgsLiYuLIzQ0lIEDB5a4rrOzM1WrVsXLy4snnniCjz76iEGDBhEZGcn58+fN+oaFhZnt+/fff2fdunWEhYUVO/fy5csZOHAgoaGhZuNusLS0pHv37qxbt+4P7FRERERERESk7CkhLPIIee2119i5cyeffPIJW7duJSkpqUhytDhvvPEGQ4YM4dChQ9StW5eBAwfy/PPPExMTw759+ygsLCQyMtLov2vXLoYMGcIrr7zCsWPHWLx4MfHx8UaiNSUlBbh+IzMzM9P4DpCWlsbGjRtJSEggISGBnTt3MnPmTACeeeYZ8vPz2bRpk9H/zJkzbN68mWHDhhUb+8WLFwkLC2P37t18/fXX+Pr60r17dyPJfMOkSZPo06cP//3vfxk2bBhr1qxh2rRpvPnmm+zfv58aNWrw7rvv3vasVq5cib29PXv27GHWrFlMmTKFbdu2lTrm9ddfJyoqikOHDlG7dm1CQkKM5HlaWhpdu3bl6aef5ptvvuGDDz5g9+7dZud9q927dxvJ+xuqVq3KtWvX+PjjjyksLLztPm5mYWHBK6+8wo8//likhMKwYcP48MMPuXz5MnD9Jm7Xrl1xc3MrMk9aWhpfffUV/fv3p3///uzatYsff/zxrmK5Fzt27ODy5csEBwczePBg1q1bV2pC/WajR4/m4sWLRf4MQ0ND2bVrl3EbeP369Xh5eREYGFhkjosXL/Kvf/2LwYMH07lzZ7Kysti1a1eRfs2bNy+2/Ybc3Fyys7PNPiIiIiIiIiKPGiWERR4ROTk5LF++nNmzZ9OpUyf8/f1ZuXKlkXgszdChQ+nfvz+1a9dm7NixpKenM2jQILp06YKfnx+vvPIKSUlJRv/Jkyczbtw4wsLC8Pb2pnPnzrzxxhssXrwY+P/LUty4kXlzmYqCggLi4+Np0KABbdu2JTQ0lMTERADs7OwYOHAgcXFxRv/33nuPGjVq0KFDh2JjDwoKYvDgwdStWxc/Pz+WLFnC5cuX2blzp1m/gQMHMnToULy9valRowb//Oc/GT58OEOHDqV27drExsbi7+9/27Nq2LAhEydOxNfXlyFDhtC0aVMj/pJERUXRo0cPateuzeTJk/nxxx85efIkADNmzGDQoEGMGjUKX19fWrVqxTvvvMOqVauK1LC94ccff8TNzc0oFwHXX1r2//w//w8DBw6kUqVKdOvWjbfeeovTp0/fdk9wvf4tXL/VfLOAgAC8vb356KOPKCwsJD4+vsTk/IoVK+jWrRsuLi64urrSpUsXsz/LB2X58uU8++yzWFpa0qBBA7y9vfnXv/51R2NL2neVKlXo1q2bUUN6xYoVJe573bp1+Pr6Ur9+fSwtLXn22WeLvaVcrVo1Tp06VWId4RkzZuDk5GR8PDw87mgPIiIiIiIiIg+TEsIij4i0tDSuXr1qVjvV1dWVOnXq3HZsw4YNjZ9v3Py8OTnq5ubGlStXjBuLhw8fZsqUKTg4OBifESNGkJmZadwkLYmXlxeOjo7Gd3d3d+OlZwAjRoxg69at/Pzzz8D1G6nh4eElvsjr9OnTjBgxAl9fX5ycnKhQoQI5OTlF6rw2bdrU7HtqairNmzc3a7v1e3FuPqvi4r/dGHd3dwBjzOHDh4mPjzc7yy5dulBQUMAPP/xQ7Hy///47tra2RdqnTZvGL7/8wqJFi6hfvz6LFi2ibt26/Pe//73tvm7cKi7unIcNG0ZcXBw7d+7k0qVLdO/evUif/Px8Vq5cyeDBg422wYMHEx8fX+qL1NasWWO29zVr1jB9+nSzttJu1V64cIENGzYUWfdOy1Xcbt/x8fF8//33fPXVVwwaNKjYOVasWFFk/X/9619Fbqnb2dlRUFBQ4sv2YmJiyMrKMj6nTp26oz2IiIiIiIiIPEx6qZzIX8DNL1i7kRgrru1GYi8nJ4fJkyfTt2/fInMVl6gsaa0bc9+cMAwICKBRo0asWrWKJ554gqNHj7J5c8kvsAkLC+PcuXPMnz8fT09PbGxsaNmyJVevXjXrZ29vX2pcd+p28d9uTHFn+fzzzzNy5Mgi40p6cVulSpWK1Ly9oWLFijzzzDM888wzTJ8+nYCAAGbPns3KlStLjfH48eMAReoNAwwaNIjo6GgmTZpEaGgoVlZF/9X/n//8h59//rnIS+Ty8/NJTEykc+fOxa775JNPmv0lxtixY6levbrZeVSvXr3EuNeuXcuVK1fM5igsLKSgoIATJ05Qu3btEsdC6fvu1q0bzz33HMOHD6dXr15UrFixSJ9jx47x9ddfs3fvXrMXyeXn57Nu3TpGjBhhtP3222/Y29tjZ2dXbCw2NjbY2NiUGq+IiIiIiIhIWVNCWOQRUatWLcqVK8eePXuMROL58+c5ceIE7du3v69rBQYGkpqaio+PT4l9ypUrZ/aCsrsRERHBvHnz+PnnnwkODi71/zqfnJzMwoULjVurp06d4tdff73tGnXq1CElJYUhQ4YYbTfXOn5YAgMDOXbsWKlneauAgAB++eUXzp8/j4uLS4n9rK2tqVWr1m3r6RYUFPDOO+9Qs2ZNAgICijx3dXXlySef5MMPP2TRokXFznGjbMPrr79u1j5t2jSWL19eYkLY0dHR7Ma4o6Mjrq6ud3wey5cv59VXXyU8PNys/cUXX2TFihVGfeqSzJs3jwoVKhAcHFzkmZWVFUOGDGHWrFl89tlnJa7frl07/u///s+sPS4ujuXLl5slhI8cOVLs+YqIiIiIiIj8mSghLPKIcHBwYPjw4bz22mtUrFiRKlWq8Prrr5vVmb1fYmNj6dmzJzVq1KBfv35YWFhw+PBhjhw5wtSpU4HrpSESExNp3bo1NjY2pSYubzVw4ECioqJYunQpq1atKrWvr68vq1evpmnTpmRnZ/Paa6+VeAPzZi+//DIjRoygadOmtGrVig8++IBvvvkGb2/vO47zfhg7diwtWrQgMjKSiIgI7O3tOXbsGNu2bWPBggXFjgkICKBSpUokJyfTs2dPABISEli3bh3PPvsstWvXprCwkH//+998+umnRer4njt3jl9++YXLly9z5MgR5s2bx969e9m8eTOWlpbFrhkfH8/ChQuLvSV79uxZ/v3vf7Np0yYaNGhg9mzIkCH06dOH3377DVdX13s5ohIdOnSIAwcOsGbNGqMW8A0hISFMmTKFqVOnGjeaL1y4wC+//EJubi4nTpxg8eLFbNy4kVWrVuHs7FzsGm+88Ybxv6lb5eXlsXr1aqZMmVJk3xEREbz99tscPXqU+vXrA9dfxvjEE0/ch52LiJSd9Jk9yjoEERERESljqiEs8gh56623aNu2Lb169SI4OJg2bdrQpEmT+75Oly5dSEhIYOvWrTRr1owWLVowd+5cPD09jT5z5sxh27ZteHh43PWtSCcnJ55++mkcHBx46qmnSu27fPlyzp8/T2BgIKGhoYwcOZIqVarcdo1BgwYRExNDVFQUgYGB/PDDD4SHh9+25MX91rBhQ3bu3MmJEydo27YtAQEBxMbGUq1atRLHWFpaMnToUNasWWO01atXj/Lly/Pqq6/SuHFjWrRowYcffsiyZcsIDQ01Gx8cHIy7uzv+/v6MGzcOPz8/vvnmGzp27FjimnZ2dsUmRQFWrVqFvb09nTp1KvKsU6dO2NnZ8d57793uKO7a8uXLqVevXpFkMECfPn04c+YMn376qdE2dOhQ3N3dqVu3Li+88AIODg7s3buXgQMHlriGtbU1lSpVKrbG8KZNmzh37hx9+vQp8szPzw8/Pz+jlvHPP//Ml19+ydChQ+9lqyIiIiIiIiKPDFPhjTfyiIjcR506daJ+/fq88847D23Nzp07U7VqVVavXv3Q1rxXv/zyC/Xr1+fAgQNmiXh5NI0dO5bz58+zZMmSOx6TnZ2Nk5MTWVlZVKhQ4QFGJyIiIiIiInLnv4eqZISI3Ffnz58nKSmJpKQkFi5c+MDWuXz5MosWLaJLly5YWlry/vvvs337drZt2/bA1ryfqlatyvLly8nIyFBC+E+gSpUqjBkzpqzDEBEREREREfnDdENYRO4rLy8vzp8/z4QJE4iKinpg6/z+++/06tWLgwcPcuXKFerUqcP48ePp27fvA1tT5G7ohrCIiIiIiIg8TLohLCJlIj09/aGsY2dnx/bt2x/KWvLnlpSURMeOHTl//nyJL58TERERERER+bvQS+VEROQvo0OHDowaNcqsrVWrVmRmZuLk5FQ2QYmIiIiIiIg8QnRDWERE/tKsra2pWrVqWYchIvJI8Bq3udTn6TN7PKRIRERERKSs6IawiIg8dAUFBcyaNQsfHx9sbGyoUaMG06ZNIygoiMjISLO+Z8+exdramsTERAAWLlyIr68vtra2uLm50a9fPwDCw8PZuXMn8+fPx2QyYTKZSE9PJykpCZPJxIULFwCIj4/H2dmZ//znP/j5+eHg4EDXrl3JzMw0W3fZsmX4+flha2tL3bp1H+hLEkVEREREREQeFt0QFhGRhy4mJoalS5cyd+5c2rRpQ2ZmJt9++y0RERFERkYyZ84cbGxsAHjvvfeoXr06QUFB7Nu3j5EjR7J69WpatWrFb7/9xq5duwCYP38+J06coEGDBkyZMgWAypUrF1vX+vLly8yePZvVq1djYWHB4MGDiYqKYs2aNQCsWbOG2NhYFixYQEBAAAcPHmTEiBHY29sTFhZW7J5yc3PJzc01vmdnZ9/PIxMRERERERG5L5QQFhGRh+rixYvMnz+fBQsWGMnVWrVq0aZNG65cuUJkZCSffPIJ/fv3B67f6A0PD8dkMpGRkYG9vT09e/bE0dERT09PAgICAHBycsLa2pry5cvftkREXl4eixYtolatWgBERkYaSWSAiRMnMmfOHPr27QtAzZo1OXbsGIsXLy4xITxjxgwmT578xw5HRERERERE5AFTyQgREXmojh8/Tm5uLp06dSryzNbWltDQUFasWAHAgQMHOHLkCOHh4QB07twZT09PvL29CQ0NZc2aNVy+fPmuYyhfvryRDAZwd3fnzJkzAFy6dIm0tDSGDx+Og4OD8Zk6dSppaWklzhkTE0NWVpbxOXXq1F3HJSIiIiIiIvKg6YawiIg8VHZ2dqU+j4iIoHHjxvz000/ExcURFBSEp6cnAI6Ojhw4cICkpCS2bt1KbGwskyZNIiUlBWdn5zuOoVy5cmbfTSYThYWFAOTk5ACwdOlSHn/8cbN+lpaWJc5pY2NjlLkQEREREREReVTphrCIiDxUvr6+2NnZGS+Ju5W/vz9NmzZl6dKlrF27lmHDhpk9t7KyIjg4mFmzZvHNN9+Qnp7O559/DoC1tTX5+fl/KD43NzeqVavG999/j4+Pj9mnZs2af2huERERERERkbKmG8IiIvJQ2draMnbsWKKjo7G2tqZ169acPXuWo0ePMnz4cADj5XL29vb06dPHGJuQkMD3339Pu3btcHFx4dNPP6WgoIA6deoA4OXlxZ49e0hPT8fBwQFXV9d7inHy5MmMHDkSJycnunbtSm5uLvv27eP8+fOMGTPmjx+CiEgZSZ/Zo6xDEBEREZEyphvCIiLy0E2YMIFXX32V2NhY/Pz8GDBggFHDFyAkJAQrKytCQkKwtbU12p2dndmwYQNBQUH4+fmxaNEi3n//ferXrw9AVFQUlpaW1KtXj8qVK5ORkXFP8UVERLBs2TLi4uLw9/enffv2xMfH64awiIiIiIiI/OmZCm8UTRQREXlEpKenU6tWLVJSUggMDCzrcO5JdnY2Tk5OZGVlUaFChbIOR0RERERERP7i7vT3UJWMEBGRR0ZeXh7nzp1j/PjxtGjR4k+bDBYRERERERF5VKlkhIiIPDKSk5Nxd3cnJSWFRYsWlXU4IiIiIiIiIn85SgiLiIihQ4cOjBo16r7O6eXlxbx58+54/R9++IETJ06Qn59/X9aPj4/H2dn5vswlIiIiIiIi8menkhEiIn9BHTp0oHHjxneciL1hw4YNlCtX7sEEVUYGDBhA9+7dyzoMERERERERkUeCEsIiImJwdXUt6xDuOzs7O+zs7Mo6DBGRR4LXuM1lHcIdS5/Zo6xDEBEREflLUskIEZEyVFBQwKxZs/Dx8cHGxoYaNWowbdo0goKCiIyMNOt79uxZrK2tSUxMBGDhwoX4+vpia2uLm5sb/fr1AyA8PJydO3cyf/58TCYTJpOJ9PR0AI4cOUK3bt1wcHDAzc2N0NBQfv31V2ONW0tGeHl5MX36dIYNG4ajoyM1atRgyZIlxvM7ifNW3377LW3atMHW1pZ69eqxfft2TCYTGzduLNK3sLAQHx8fZs+ebdZ+6NAhTCYTJ0+eBODChQs8//zzuLm5YWtrS4MGDUhISACKloyYNGkSjRs3ZvXq1Xh5eeHk5MSzzz7LxYsXzf5cZsyYQc2aNbGzs6NRo0Z89NFHxe5HRERERERE5M9ECWERkTIUExPDzJkzmTBhAseOHWPt2rW4ubkRERHB2rVryc3NNfq+9957VK9enaCgIPbt28fIkSOZMmUKqampbNmyhXbt2gEwf/58WrZsyYgRI8jMzCQzMxMPDw8uXLhAUFAQAQEB7Nu3jy1btnD69Gn69+9faoxz5syhadOmHDx4kBdffJEXXniB1NRUgNvGeav8/Hyeeuopypcvz549e1iyZAmvv/56iWubTCaGDRtGXFycWXtcXBzt2rXDx8eHgoICunXrRnJyMu+99x7Hjh1j5syZWFpaljhvWloaGzduJCEhgYSEBHbu3MnMmTON5zNmzGDVqlUsWrSIo0ePMnr0aAYPHszOnTtLnDM3N5fs7Gyzj4iIiIiIiMijRiUjRETKyMWLF5k/fz4LFiwgLCwMgFq1atGmTRuuXLlCZGQkn3zyiZGwjY+PJzw8HJPJREZGBvb29vTs2RNHR0c8PT0JCAgAwMnJCWtra8qXL0/VqlWN9RYsWEBAQADTp0832lasWIGHhwcnTpygdu3axcbZvXt3XnzxRQDGjh3L3Llz2bFjB3Xq1KFv376lxnmrbdu2kZaWRlJSkhHbtGnT6Ny5c4nnFB4eTmxsLHv37qV58+bk5eWxdu1a49bw9u3b2bt3L8ePHzf24O3tXerZFxQUEB8fj6OjIwChoaEkJiYybdo0cnNzmT59Otu3b6dly5bGfLt372bx4sW0b9++2DlnzJjB5MmTS11XREREREREpKzphrCISBk5fvw4ubm5dOrUqcgzW1tbQkNDWbFiBQAHDhzgyJEjhIeHA9C5c2c8PT3x9vYmNDSUNWvWcPny5VLXO3z4MDt27MDBwcH41K1bF7h+Y7YkDRs2NH42mUxUrVqVM2fO3FGct0pNTcXDw8MsUd28efNS465WrRo9evQw1vj3v/9Nbm4uzzzzDHC9fMRjjz1WYkK7OF5eXkYyGMDd3d3Y08mTJ7l8+TKdO3c2O6tVq1aVek4xMTFkZWUZn1OnTt1xPCIiIiIiIiIPi24Ii4iUkdu96CwiIoLGjRvz008/ERcXR1BQEJ6engA4Ojpy4MABkpKS2Lp1K7GxsUyaNImUlBSzerk3y8nJoVevXrz55ptFnrm7u5cYR7ly5cy+m0wmCgoK7ijO+yUiIoLQ0FDmzp1LXFwcAwYMoHz58sDtz7E4pe0pJycHgM2bN1O9enWzfjY2NiXOaWNjU+pzERERERERkUeBbgiLiJQRX19f7OzsSnz5mr+/P02bNmXp0qWsXbuWYcOGmT23srIiODiYWbNm8c0335Cens7nn38OgLW1Nfn5+Wb9AwMDOXr0KF5eXvj4+Jh97O3t73kft4vzZnXq1OHUqVOcPn3aaEtJSbntGt27d8fe3p53332XLVu2mK3RsGFDfvrpJ06cOHHPe7hZvXr1sLGxISMjo8g5eXh43Jc1RERERERERMqKbgiLiJQRW1tbxo4dS3R0NNbW1rRu3ZqzZ89y9OhRhg8fDly/GRsZGYm9vT19+vQxxiYkJPD999/Trl07XFxc+PTTTykoKKBOnTrA9ZIIe/bsIT09HQcHB1xdXXnppZdYunQpISEhREdH4+rqysmTJ1m3bh3Lli0r9SVst1NSnLfq3LkztWrVIiwsjFmzZnHx4kXGjx8PUGzN4RssLS0JDw8nJiYGX19fo7YvQPv27WnXrh1PP/00b7/9Nj4+Pnz77beYTCa6du1613txdHQkKiqK0aNHU1BQQJs2bcjKyiI5OZkKFSoY9Z5FRP6M0mf2KOsQRERERKSM6YawiEgZmjBhAq+++iqxsbH4+fkxYMAAo5YtQEhICFZWVoSEhGBra2u0Ozs7s2HDBoKCgvDz82PRokW8//771K9fH4CoqCgsLS2pV68elStXJiMjg2rVqpGcnEx+fj5PPPEE/v7+jBo1CmdnZyws/th/DkqK81aWlpZs3LiRnJwcmjVrRkREBK+//jpAqeMAhg8fztWrVxk6dGiRZ+vXr6dZs2aEhIRQr149oqOji9yQvhtvvPEGEyZMYMaMGfj5+dG1a1c2b95MzZo173lOERERERERkUeBqbCwsLCsgxARkeKlp6dTq1YtUlJSCAwMLOtwSvRH4kxOTqZNmzacPHmSWrVqldhv165ddOrUiVOnTuHm5vZHQ37gsrOzcXJyIisriwoVKpR1OCIiIiIiIvIXd6e/h6pkhIjIIygvL49z584xfvx4WrRo8cgmg+8lzo8//hgHBwd8fX05efIkr7zyCq1bty4xGZybm8vZs2eZNGkSzzzzzJ8iGSwiIiIiIiLyqFLJCBF5JHXo0IFRo0aVdRjA9Xq88+bNe6hrJicn4+7uTkpKCpUqVeKpp54qtX9ZxAjmcS5atKjYPrfG1rdvX8LCwqhbty7h4eE0a9aMTz75pMQ13n//fTw9Pblw4QKzZs0ye5aUlITJZOLChQtG28aNG/Hx8cHS0pJRo0YRHx+Ps7NzqfuYNGkSjRs3vt12RURERERERP70dENYRB6oDh060Lhx47tOVm7YsIFy5co9mKAesKSkJDp27Mj58+dvm4i8WXp6OjVr1uTgwYN06NCBGxV9wsPDzRKexUlJScHe3v4PRH1vbo7zTmVmZuLi4oKNjc0d9Q8PDyc8PPyO53/++ecZOnQoI0eOxNHRESsrK7p3735XMYqIiIiIiIj8VSkhLCKPJFdX17IO4U+lcuXKZR3CHatateoDmzsnJ4czZ87QpUsXqlWrZrTb2dk9sDVFRP5MvMZtLusQ/nbSZ/Yo6xBEREREzKhkhIhQUFDArFmz8PHxwcbGhho1ajBt2jQAgoKCiIyMNOt/9uxZrK2tSUxMBGDhwoX4+vpia2uLm5sb/fr1A67f7Ny5cyfz58/HZDJhMplIT08H4MiRI3Tr1g0HBwfc3NwIDQ3l119/Nda4tWSEl5cX06dPZ9iwYTg6OlKjRg2WLFliFtepU6fo378/zs7OuLq60rt3b2O9kly8eJFBgwZhb2+Pu7s7c+fOLbVcRXp6OiaTiUOHDhltFy5cwGQykZSURHp6Oh07dgTAxcUFk8lk3G7dsmULbdq0wdnZmYoVK9KzZ0/S0tKMeWrWrAlAQEAAJpOJDh06mK09e/Zs3N3dqVixIi+99BJ5eXlm53PzLeyMjAx69+6Ng4MDFSpUoH///pw+fdp4fqNEwurVq/Hy8sLJyYlnn32WixcvGn0KCgqYMWMGNWvWxM7OjkaNGvHRRx+Vep5nzpyhV69e2NnZUbNmTdasWVOkj8lkYuPGjQBcvXqVyMhI3N3dsbW1xdPTkxkzZtzRWd8qKSkJR0dH4Po/tzf6FVcyYubMmbi5ueHo6Mjw4cO5cuVKkfmWLVuGn58ftra21K1bl4ULF5a6dxEREREREZE/AyWERYSYmBhmzpzJhAkTOHbsGGvXrjVe3BUREcHatWvJzc01+r/33ntUr16doKAg9u3bx8iRI5kyZQqpqals2bKFdu3aATB//nxatmzJiBEjyMzMJDMzEw8PDy5cuEBQUBABAQHs27ePLVu2cPr0afr3719qnHPmzKFp06YcPHiQF198kRdeeIHU1FTg+svNunTpgqOjI7t27SI5ORkHBwe6du3K1atXS5xzzJgxJCcns2nTJrZt28auXbs4cODAPZ+lh4cH69evByA1NZXMzEzmz58PwKVLlxgzZgz79u0jMTERCwsL+vTpQ0FBAQB79+4FYPv27WRmZrJhwwZj3h07dpCWlsaOHTtYuXIl8fHxxMfHFxtDQUEBvXv35rfffmPnzp1s27aN77//ngEDBpj1S0tLY+PGjSQkJJCQkMDOnTuZOXOm8XzGjBmsWrWKRYsWcfToUUaPHs3gwYPZuXNnifsPDw/n1KlT7Nixg48++oiFCxdy5syZEvu/8847bNq0iQ8//JDU1FTWrFmDl5dXyQdcilatWhn/PKxfv57MzExatWpVpN+HH37IpEmTmD59Ovv27cPd3b1IsnfNmjXExsYybdo0jh8/zvTp05kwYQIrV668p9hEREREREREHhUqGSHyN3fx4kXmz5/PggULCAsLA6BWrVq0adMGuP4CsMjISD755BMjYRsfH094eDgmk4mMjAzs7e3p2bMnjo6OeHp6EhAQAICTkxPW1taUL1/erEzAggULCAgIYPr06UbbihUr8PDw4MSJE9SuXbvYWLt3786LL74IwNixY5k7dy47duygTp06fPDBBxQUFLBs2TJMJhMAcXFxODs7k5SUxBNPPFHs3leuXMnatWvp1KmTMebmUgN3y9LS0ih3UaVKFbObqU8//bRZ3xUrVlC5cmWOHTtGgwYNjLIPFStWLFJWwcXFhQULFmBpaUndunXp0aMHiYmJjBgxokgMiYmJ/Pe//+WHH37Aw8MDgFWrVlG/fn1SUlJo1qwZcD1xHB8fb9yqDQ0NJTExkWnTppGbm8v06dPZvn07LVu2BMDb25vdu3ezePFi2rdvX2TdEydO8Nlnn7F3715jjeXLl+Pn51fieWVkZODr60ubNm0wmUx4enqWfLi3YW1tTZUqVYDrJUdKKk0xb948hg8fzvDhwwGYOnUq27dvN7slPHHiRObMmUPfvn2B67e3jx07xuLFi43/ndwqNzfX7C9OsrOz73kvIiIiIiIiIg+KbgiL/M0dP36c3NxcIyF6K1tbW0JDQ1mxYgUABw4c4MiRI0YZhM6dO+Pp6Ym3tzehoaGsWbOGy5cvl7rm4cOH2bFjBw4ODsanbt26AGYlFG7VsGFD42eTyUTVqlWN26eHDx/m5MmTODo6GnO6urpy5coV0tLS2LVrl9l6a9as4fvvvycvL4/mzZsb8zo5OVGnTp3bH9w9+O677wgJCcHb25sKFSoYN2EzMjJuO7Z+/fpYWloa393d3Uu8eXv8+HE8PDyMZDBAvXr1cHZ25vjx40abl5eXkQy+dc6TJ09y+fJlOnfubHZuq1atKvHP6Pjx41hZWdGkSROjrW7duqW+WC88PJxDhw5Rp04dRo4cydatW0s/iPvg+PHjPP7442ZtN5LecP0md1paGsOHDzfb+9SpU0v953PGjBk4OTkZn5vPX0RERERERORRoRvCIn9zd/KyrYiICBo3bsxPP/1EXFwcQUFBxk1OR0dHDhw4QFJSElu3biU2NpZJkyaRkpJSYiIwJyeHXr168eabbxZ55u7uXmIc5cqVM/tuMpmMcgs5OTk0adKk2Jq1lStXxtra2qwWrZubG99///3ttl6EhcX1v0crLCw02m6u5VuaXr164enpydKlS6lWrRoFBQU0aNCg1JIWN5S293t1u/ME2Lx5M9WrVzfrZ2Nj84fWvVlgYCA//PADn332Gdu3b6d///4EBwfz0Ucf/aGz/iNu7H3p0qVFEsc3J+VvFRMTw5gxY4zv2dnZSgqLiIiIiIjII0cJYZG/OV9fX+zs7EhMTCQiIqLYPv7+/jRt2pSlS5eydu1aFixYYPbcysqK4OBggoODmThxIs7Oznz++ef07dsXa2tr8vPzzfoHBgayfv16vLy8sLK6P/8aCgwM5IMPPqBKlSpUqFCh2D4+Pj5m3729vSlXrhwpKSnUqFEDgKysLE6cOGHUQb7VjbIOmZmZRmmMmxPNcL10AWC273PnzpGamsrSpUtp27YtALt3777tuHvh5+fHqVOnOHXqlJGQPHbsGBcuXKBevXp3NEe9evWwsbEhIyOj2PIQxalbty7Xrl1j//79RsmI1NRULly4UOq4ChUqMGDAAAYMGEC/fv3o2rUrv/322x2d9b3w8/Njz549DBkyxGj7+uuvjZ/d3NyoVq0a33//PYMGDbrjeW1sbO5rslxERERERETkQVBCWORvztbWlrFjxxIdHY21tTWtW7fm7NmzHD161KixCtdvCUdGRmJvb0+fPn2M9oSEBL7//nvatWuHi4sLn376KQUFBUbZBS8vL/bs2UN6erpRxuGll15i6dKlhISEEB0djaurKydPnmTdunUsW7as1FuYJRk0aBBvvfUWvXv3ZsqUKTz22GP8+OOPbNiwgejoaB577LEiYxwdHQkLC+O1117D1dWVKlWqMHHiRCwsLIw6xLeys7OjRYsWzJw5k5o1a3LmzBnGjx9v1sfT0xOTyURCQgLdu3fHzs4OFxcXKlasyJIlS3B3dycjI4Nx48aZjatSpQp2dnZs2bKFxx57DFtbW5ycnO76LIKDg/H392fQoEHMmzePa9eu8eKLL9K+fXuaNm16R3M4OjoSFRXF6NGjKSgooE2bNmRlZZGcnEyFChWKraNbp04dunbtyvPPP8+7776LlZUVo0aNKvUW+ttvv427uzsBAQFYWFjwr3/9i6pVq+Ls7IyFhcVtz/pevPLKK4SHh9O0aVNat27NmjVrOHr0KN7e3kafyZMnM3LkSJycnOjatSu5ubns27eP8+fPm90CFhH5s0mf2aOsQxARERGRMqYawiLChAkTePXVV4mNjcXPz48BAwYUqU8bEhKClZUVISEh2NraGu3Ozs5s2LCBoKAg/Pz8WLRoEe+//z7169cHICoqCktLS+rVq0flypXJyMigWrVqJCcnk5+fzxNPPIG/vz+jRo0ykoD3onz58nzxxRfUqFGDvn374ufnx/Dhw7ly5UqJN4bhekKyZcuW9OzZk+DgYFq3bo2fn5/ZHm+1YsUKrl27RpMmTRg1ahRTp041e169enUmT57MuHHjcHNzIzIyEgsLC9atW8f+/ftp0KABo0eP5q233jIbZ2VlxTvvvMPixYupVq0avXv3vqezMJlMfPLJJ7i4uNCuXTuCg4Px9vbmgw8+uKt53njjDSZMmMCMGTPw8/Oja9eubN68mZo1a5Y45sZL+dq3b0/fvn157rnnjBe9FcfR0ZFZs2bRtGlTmjVrRnp6Op9++qnxz8HtzvpeDBgwgAkTJhAdHU2TJk348ccfeeGFF8z6REREsGzZMuLi4vD396d9+/bEx8eXuncRERERERGRPwNT4c3FGUVESpCenk6tWrVISUkhMDCwrMN5YC5dukT16tWZM2eO2Q1pkbuVnZ2Nk5MTWVlZpf6lhIiIiIiIiMj9cKe/h6pkhIiUKi8vj3PnzjF+/HhatGjxl0sGHzx4kG+//ZbmzZuTlZXFlClTAO75dq6IiIiIiIiIyKNMCWERKVVycjIdO3akdu3afPTRR2UdzgMxe/ZsUlNTsba2pkmTJuzatYtKlSqVdVgiIiIiIiIiIvedagiLSKk6dOhAYWEhqamp+Pv7l3U4911AQAD79+8nJyeH3377jW3btpXZPjt06MCoUaPKZO07FR8fj7Ozs1nbkiVL8PDwwMLCgnnz5jFp0iQaN258V/N6eXkxb968+xbn3bqTsy/rGEVERERERETuB90QFhG5zzp06EDjxo3vOnm4YcMGypUr92CCekCys7OJjIzk7bff5umnn8bJyYmCggJefvnlu5onJSUFe3v7BxTl7f0Zz15ERERERETkXighLCLyiHB1dS3rEO5aRkYGeXl59OjRA3d3d6PdwcHhruapXLny/Q7trvwZz15E5F54jdtc1iE8stJn9ijrEEREREQeCpWMEJG/pYKCAmbNmoWPjw82NjbUqFGDadOmARAUFERkZKRZ/7Nnz2JtbU1iYiIACxcuxNfXF1tbW9zc3OjXrx8A4eHh7Ny5k/nz52MymTCZTKSnpwNw5MgRunXrhoODA25uboSGhvLrr78aa9xatsDLy4vp06czbNgwHB0dqVGjBkuWLDGL69SpU/Tv3x9nZ2dcXV3p3bu3sV5xzp8/z6BBg6hcuTJ2dnb4+voSFxcHQFJSEiaTiQsXLhj9Dx06ZLaHm8XHxxvlNby9vY1+t5aMCA8P56mnnmL27Nm4u7tTsWJFXnrpJfLy8sz2evON6gsXLvD888/j5uaGra0tDRo0ICEhocR9vf322/j7+2Nvb4+HhwcvvvgiOTk5Zn2Sk5Pp0KED5cuXx8XFhS5dunD+/Hmg6NmfOXOGXr16YWdnR82aNVmzZk2Ja4uIiIiIiIj8mSghLCJ/SzExMcycOZMJEyZw7Ngx1q5di5ubGwARERGsXbuW3Nxco/97771H9erVCQoKYt++fYwcOZIpU6aQmprKli1baNeuHQDz58+nZcuWjBgxgszMTDIzM/Hw8ODChQsEBQUREBDAvn372LJlC6dPn6Z///6lxjlnzhyaNm3KwYMHefHFF3nhhRdITU0FIC8vjy5duuDo6MiuXbtITk7GwcGBrl27cvXq1WLnu7Hfzz77jOPHj/Puu+/e8wv0BgwYwPbt2wHYu3evsdfi7Nixg7S0NHbs2MHKlSuJj48nPj6+2L4FBQV069aN5ORk3nvvPY4dO8bMmTOxtLQsMRYLCwveeecdjh49ysqVK/n888+Jjo42nh86dIhOnTpRr149vvrqK3bv3k2vXr3Iz88vdr7w8HBOnTrFjh07+Oijj1i4cCFnzpy5w5MREREREREReXSpZISI/O1cvHiR+fPns2DBAsLCwgCoVasWbdq0AaBv375ERkbyySefGAnb+Ph4wsPDMZlMZGRkYG9vT8+ePXF0dMTT05OAgAAAnJycsLa2pnz58lStWtVYc8GCBQQEBDB9+nSjbcWKFXh4eHDixAlq165dbKzdu3fnxRdfBGDs2LHMnTuXHTt2UKdOHT744AMKCgpYtmwZJpMJgLi4OJydnUlKSuKJJ54oMl9GRgYBAQE0bdoUuH4z917Z2dlRsWJF4HrJh5v3eysXFxcWLFiApaUldevWpUePHiQmJjJixIgifbdv387evXs5fvy4cS7e3t6lxnLrzeqpU6fyj3/8g4ULFwIwa9YsmjZtanwHqF+/frFznThxgs8++4y9e/fSrFkzAJYvX46fn1+pMeTm5pr9JUJ2dnap/UVERERERETKgm4Ii8jfzvHjx8nNzaVTp07FPre1tSU0NJQVK1YAcODAAY4cOUJ4eDgAnTt3xtPTE29vb0JDQ1mzZg2XL18udc3Dhw+zY8cOHBwcjE/dunUBSEtLK3Fcw4YNjZ9NJhNVq1Y1bqoePnyYkydP4ujoaMzp6urKlStXSpzzhRdeYN26dTRu3Jjo6Gi+/PLLUuO+X+rXr292w9fd3b3EG7eHDh3iscceKzFJXpzt27fTqVMnqlevjqOjI6GhoZw7d874c7lxQ/hOHD9+HCsrK5o0aWK01a1bF2dn51LHzZgxAycnJ+NT0m1pERERERERkbKkhLCI/O3Y2dndtk9ERATbtm3jp59+Ii4ujqCgIDw9PQFwdHTkwIEDvP/++7i7uxMbG0ujRo3Mau/eKicnh169enHo0CGzz3fffWeUmyhOuXLlzL6bTCYKCgqMOZs0aVJkzhMnTjBw4MBi5+vWrRs//vgjo0eP5n//+x+dOnUiKioKuF52AaCwsNDof3Od3z+itH3c6k7+fG6Wnp5Oz549adiwIevXr2f//v383//9H4BROuNu57wXMTExZGVlGZ9Tp0498DVFRERERERE7pYSwiLyt+Pr64udnZ3xgrji+Pv707RpU5YuXcratWsZNmyY2XMrKyuCg4OZNWsW33zzDenp6Xz++ecAWFtbF6lNGxgYyNGjR/Hy8sLHx8fsY29vf0/7CAwM5LvvvqNKlSpF5nRycipxXOXKlQkLC+O9995j3rx5xovqKleuDEBmZqbR99ChQ/cU2x/RsGFDfvrpJ06cOHFH/ffv309BQQFz5syhRYsW1K5dm//9739F5iztz/tmdevW5dq1a+zfv99oS01NLTXhD2BjY0OFChXMPiIiIiIiIiKPGtUQFpG/HVtbW8aOHUt0dDTW1ta0bt2as2fPcvToUYYPH270i4iIIDIyEnt7e/r06WO0JyQk8P3339OuXTtcXFz49NNPKSgooE6dOsD1GrZ79uwhPT3dKOPw0ksvsXTpUkJCQoiOjsbV1ZWTJ0+ybt06li1bVuoL00oyaNAg3nrrLXr37s2UKVN47LHH+PHHH9mwYQPR0dE89thjRcbExsbSpEkT6tevT25uLgkJCUZtXB8fHzw8PJg0aRLTpk3jxIkTzJkz567j+qPat29Pu3btePrpp3n77bfx8fHh22+/xWQy0bVr1yL9fXx8yMvL45///Ce9evUiOTmZRYsWmfWJiYnB39+fF198kX/84x9YW1uzY8cOnnnmmSIv1atTpw5du3bl+eef591338XKyopRo0Y9lFvGIiIPWvrMHmUdgoiIiIiUMd0QFpG/pQkTJvDqq68SGxuLn58fAwYMKFLTNiQkBCsrK0JCQrC1tTXanZ2d2bBhA0FBQfj5+bFo0SLef/994yVlUVFRWFpaUq9ePSpXrkxGRgbVqlUjOTmZ/Px8nnjiCfz9/Rk1ahTOzs5GqYa7Vb58eb744gtq1KhB37598fPzY/jw4Vy5cqXE26nW1tbExMTQsGFD2rVrh6WlJevWrQOul3V4//33+fbbb2nYsCFvvvkmU6dOvafY/qj169fTrFkzQkJCqFevHtHR0UVuXd/QqFEj3n77bd58800aNGjAmjVrmDFjhlmf2rVrs3XrVg4fPkzz5s1p2bIln3zyCVZWxf+9aFxcHNWqVaN9+/b07duX5557jipVqtz3fYqIiIiIiIg8bKbCm4tFioiIIT09nVq1apGSkkJgYGBZhyN/MtnZ2Tg5OZGVlaXyESIiIiIiIvLA3envoSoZISJyi7y8PM6dO8f48eNp0aKFksEiIiIiIiIi8pehkhEiIrdITk7G3d2dlJSUIrVoRURERERERET+zJQQFhG5RYcOHSgsLCQ1NRV/f/+yDue+6NChA6NGjSrrMO6r+Ph4nJ2dzdqWLFmCh4cHFhYWzJs3r0ziEhEREREREXmUKSEsIvIncq+J3Q0bNvDGG2/c/4AeIdnZ2URGRjJ27Fh+/vlnnnvuuTsa5+XlpeSxiIiIiIiI/G2ohrCIyN+Aq6trWYfwwGVkZJCXl0ePHj1wd3cv63BERB5JXuM231X/9Jk9HlAkIiIiIlJWdENYROQ+KygoYNasWfj4+GBjY0ONGjWYNm0aAEFBQURGRpr1P3v2LNbW1iQmJgKwcOFCfH19sbW1xc3NjX79+gEQHh7Ozp07mT9/PiaTCZPJRHp6OgBHjhyhW7duODg44ObmRmhoKL/++quxxq03i728vJg+fTrDhg3D0dGRGjVqsGTJErO4Tp06Rf/+/XF2dsbV1ZXevXsb6xXn/PnzDBo0iMqVK2NnZ4evry9xcXH31D8pKQmTycSFCxeM/ocOHTLb883i4+ON8h7e3t5Gv7S0NHr37o2bmxsODg40a9aM7du3m53Ljz/+yOjRo40zvWH37t20bdsWOzs7PDw8GDlyJJcuXSpxPyIiIiIiIiJ/BkoIi4jcZzExMcycOZMJEyZw7Ngx1q5di5ubGwARERGsXbuW3Nxco/97771H9erVCQoKYt++fYwcOZIpU6aQmprKli1baNeuHQDz58+nZcuWjBgxgszMTDIzM/Hw8ODChQsEBQUREBDAvn372LJlC6dPn6Z///6lxjlnzhyaNm3KwYMHefHFF3nhhRdITU0FIC8vjy5duuDo6MiuXbtITk7GwcGBrl27cvXq1WLnu7Hfzz77jOPHj/Puu+9SqVKlEte/2/6lGTBggJHo3bt3r3E2OTk5dO/encTERA4ePEjXrl3p1asXGRkZwPVSGo899hhTpkwxzhQgLS2Nrl278vTTT/PNN9/wwQcfsHv37iLJfBEREREREZE/G5WMEBG5jy5evMj8+fNZsGABYWFhANSqVYs2bdoA0LdvXyIjI/nkk0+MhG18fDzh4eGYTCYyMjKwt7enZ8+eODo64unpSUBAAABOTk5YW1tTvnx5qlataqy5YMECAgICmD59utG2YsUKPDw8OHHiBLVr1y421u7du/Piiy8CMHbsWObOncuOHTuoU6cOH3zwAQUFBSxbtsy4NRsXF4ezszNJSUk88cQTRebLyMggICCApk2bAtdvIZfmbvuXxs7OjooVKwJQuXJl43waNWpEo0aNjH5vvPEGH3/8MZs2bSIyMhJXV1csLS1xdHQ0O9MZM2YwaNAg41a1r68v77zzDu3bt+fdd9/F1ta2SAy5ublmif7s7Ox73o+IiIiIiIjIg6IbwiIi99Hx48fJzc2lU6dOxT63tbUlNDSUFStWAHDgwAGOHDlCeHg4AJ07d8bT0xNvb29CQ0NZs2YNly9fLnXNw4cPs2PHDhwcHIxP3bp1ges3XUvSsGFD42eTyUTVqlU5c+aMMefJkydxdHQ05nR1deXKlSslzvnCCy+wbt06GjduTHR0NF9++aXx7EY5CwcHB+rXr3/b/vdLTk4OUVFR+Pn54ezsjIODA8ePHzduCJfk8OHDxMfHm51ply5dKCgo4Icffih2zIwZM3BycjI+Hh4e930/IiIiIiIiIn+UbgiLiNxHdnZ2t+0TERFB48aN+emnn4iLiyMoKAhPT08AHB0dOXDgAElJSWzdupXY2FgmTZpESkoKzs7Oxc6Xk5NDr169ePPNN4s8K+3lauXKlTP7bjKZKCgoMOZs0qQJa9asKTKucuXKxc7XrVs3fvzxRz799FO2bdtGp06deOmll5g9ezbLli3j999/N1u3tP4WFtf/vrKwsNCYPy8vr8S9lCQqKopt27Yxe/ZsfHx8sLOzo1+/fiWWvbghJyeH559/npEjRxZ5VqNGjWLHxMTEMGbMGON7dna2ksIiIiIiIiLyyFFCWETkPvL19cXOzo7ExEQiIiKK7ePv70/Tpk1ZunQpa9euZcGCBWbPraysCA4OJjg4mIkTJ+Ls7Mznn39O3759sba2Jj8/36x/YGAg69evx8vLCyur+/Ov9cDAQD744AOqVKlChQoV7nhc5cqVCQsLIywsjLZt2/Laa68xe/Zsqlevflf9bySdMzMzcXFxAa6/VO5uJScnEx4eTp8+fYDrid5bX0pX0pkeO3YMHx+fO17LxsYGGxubu45RRERERERE5GFSQlhE5D6ytbVl7NixREdHY21tTevWrTl79ixHjx5l+PDhRr+IiAgiIyOxt7c3kpUACQkJfP/997Rr1w4XFxc+/fRTCgoKqFOnDnC9zu6ePXtIT083yji89NJLLF26lJCQEKKjo3F1deXkyZOsW7eOZcuWYWlpedf7GDRoEG+99Ra9e/dmypQpPPbYY/z4449s2LCB6OhoHnvssSJjYmNjadKkCfXr1yc3N5eEhAT8/PxKXKO0/j4+Pnh4eDBp0iSmTZvGiRMnmDNnzl3vw9fXlw0bNtCrVy9MJhMTJkwwbkHf4OXlxRdffMGzzz6LjY0NlSpVYuzYsbRo0YLIyEgiIiKwt7fn2LFjbNu2rUgCX0TkzyR9Zo+yDkFEREREyphqCIuI3GcTJkzg1VdfJTY2Fj8/PwYMGGDU5r0hJCQEKysrQkJCzF5Q5uzszIYNGwgKCsLPz49Fixbx/vvvG3V3o6KisLS0pF69elSuXJmMjAyqVatGcnIy+fn5PPHEE/j7+zNq1CicnZ2N0gt3q3z58nzxxRfUqFGDvn374ufnx/Dhw7ly5UqJN4atra2JiYmhYcOGtGvXDktLS9atW1fiGqX1L1euHO+//z7ffvstDRs25M0332Tq1Kl3vY+3334bFxcXWrVqRa9evejSpQuBgYFmfaZMmUJ6ejq1atUybiY3bNiQnTt3cuLECdq2bUtAQACxsbFUq1btrmMQEREREREReZSYCm8u0CgiIg/FjQRkSkpKkQSl/DVkZ2fj5OREVlbWXZXdEBEREREREbkXd/p7qEpGiIg8RHl5eZw7d47x48fTokULJYNFRERERERE5KFSyQgRkYcoOTkZd3d3UlJSWLRoUVmHIyIiIiIiIiJ/M7ohLCLyEHXo0AFV6nn4OnToQOPGjZk3b15ZhyIiIiIiIiJSppQQFhGRP417Texu2LCBcuXKPZigRERERERERP5ElBAWEZG/PFdX17IOQUTKkNe4zWUdwiMjfWaPsg5BRERERMqYagiLiMh9V1BQwKxZs/Dx8cHGxoYaNWowbdo0goKCiIyMNOt79uxZrK2tSUxMBGDhwoX4+vpia2uLm5sb/fr1AyA8PJydO3cyf/58TCYTJpOJ9PR0AI4cOUK3bt1wcHDAzc2N0NBQfv31V2ONDh06MGrUKOO7l5cX06dPZ9iwYTg6OlKjRg2WLFliFtepU6fo378/zs7OuLq60rt3b2M9ERERERERkT8rJYRFROS+i4mJYebMmUyYMIFjx46xdu1a3NzciIiIYO3ateTm5hp933vvPapXr05QUBD79u1j5MiRTJkyhdTUVLZs2UK7du0AmD9/Pi1btmTEiBFkZmaSmZmJh4cHFy5cICgoiICAAPbt28eWLVs4ffo0/fv3LzXGOXPm0LRpUw4ePMiLL77ICy+8QGpqKgB5eXl06dIFR0dHdu3aRXJyMg4ODnTt2pWrV68+uIMTERERERERecBUMkJERO6rixcvMn/+fBYsWEBYWBgAtWrVok2bNly5coXIyEg++eQTI2EbHx9PeHg4JpOJjIwM7O3t6dmzJ46Ojnh6ehIQEACAk5MT1tbWlC9fnqpVqxrrLViwgICAAKZPn260rVixAg8PD06cOEHt2rWLjbN79+68+OKLAIwdO5a5c+eyY8cO6tSpwwcffEBBQQHLli3DZDIBEBcXh7OzM0lJSTzxxBNF5svNzTVLdGdnZ/+RYxQRERERERF5IHRDWERE7qvjx4+Tm5tLp06dijyztbUlNDSUFStWAHDgwAGOHDlCeHg4AJ07d8bT0xNvb29CQ0NZs2YNly9fLnW9w4cPs2PHDhwcHIxP3bp1AUhLSytxXMOGDY2fTSYTVatW5cyZM8acJ0+exNHR0ZjT1dWVK1eulDjnjBkzcHJyMj4eHh6lxi0iIiIiIiJSFnRDWERE7is7O7tSn0dERNC4cWN++ukn4uLiCAoKwtPTEwBHR0cOHDhAUlISW7duJTY2lkmTJpGSkoKzs3Ox8+Xk5NCrVy/efPPNIs/c3d1LjKNcuXJm300mEwUFBcacTZo0Yc2aNUXGVa5cudj5YmJiGDNmjPE9OztbSWERERERERF55CghLCIi95Wvry92dnYkJiYSERFR5Lm/vz9NmzZl6dKlrF27lgULFpg9t7KyIjg4mODgYCZOnIizszOff/45ffv2xdramvz8fLP+gYGBrF+/Hi8vL6ys7s9/1gIDA/nggw+oUqUKFSpUuKMxNjY22NjY3Jf1RURERERERB4UJYRFROS+srW1ZezYsURHR2NtbU3r1q05e/YsR48eZfjw4cD1W8KRkZHY29vTp08fY2xCQgLff/897dq1w8XFhU8//ZSCggLq1KkDgJeXF3v27CE9Pd0o4/DSSy+xdOlSQkJCiI6OxtXVlZMnT7Ju3TqWLVuGpaXlXe9h0KBBvPXWW/Tu3ZspU6bw2GOP8eOPP7Jhwwaio6N57LHH7s9hichDkT6zR1mHICIiIiLyyFANYRERue8mTJjAq6++SmxsLH5+fgwYMMCozwsQEhKClZUVISEh2NraGu3Ozs5s2LCBoKAg/Pz8WLRoEe+//z7169cHICoqCktLS+rVq0flypXJyMigWrVqJCcnk5+fzxNPPIG/vz+jRo3C2dkZC4t7+89c+fLl+eKLL6hRowZ9+/bFz8+P4cOHc+XKlTu+MSwiIiIiIiLyKDIVFhYWlnUQIiLy95Kenk6tWrVISUkhMDCwrMN5ILKzs3FyciIrK0tJZBEREREREXng7vT3UJWMEBGRhyYvL49z584xfvx4WrRo8ZdNBouIiIiIiIg8qlQyQkREHprk5GTc3d1JSUlh0aJFZR2OiIiIiIiIyN+OEsIiIn9zJpOJjRs3PpS1OnToQGFhIampqfj7+5fab9SoUaXO5eXlxbx584zvD3ofSUlJmEwmLly48MDWEBEREREREXnQVDJCREQeORs2bKBcuXJ3NSYzMxMXF5cHFJGIiIiIiIjIX4NuCIuIyCPH1dUVR0fHuxpTtWpVbGxsHlBEIiJ/DV7jNpd1CCIiIiJSxpQQFhF5iAoKCpg1axY+Pj7Y2NhQo0YNpk2bBkBQUBCRkZFm/c+ePYu1tTWJiYkALFy4EF9fX2xtbXFzc6Nfv36lrpeZmUmPHj2ws7OjZs2arF27tkiphZvdSQx34r///S9BQUHY2dlRsWJFnnvuOXJycoDrpResra3ZtWuX0X/WrFlUqVKF06dPA0VLRpw5c4ZevXoZ+1izZk2RNW8uGTFp0iRMJlORT3x8PHD9z2HGjBnUrFkTOzs7GjVqxEcffWQ236effkrt2rWxs7OjY8eOpKen3/H+RURERERERB5VSgiLiDxEMTExzJw5kwkTJnDs2DHWrl2Lm5sbABEREaxdu5bc3Fyj/3vvvUf16tUJCgpi3759jBw5kilTppCamsqWLVto165dqesNGTKE//3vfyQlJbF+/XqWLFnCmTNnSux/uxjuxKVLl+jSpQsuLi6kpKTwr3/9i+3btxuJ5hvJ3tDQULKysjh48CATJkxg2bJlxlncKjw8nFOnTrFjxw4++ugjFi5cWOo+oqKiyMzMND6zZ8+mfPnyNG3aFIAZM2awatUqFi1axNGjRxk9ejSDBw9m586dAJw6dYq+ffvSq1cvDh06REREBOPGjSt137m5uWRnZ5t9RERERERERB45hSIi8lBkZ2cX2tjYFC5durTY57///nuhi4tL4QcffGC0NWzYsHDSpEmFhYWFhevXry+sUKFCYXZ29h2td/z48UKgMCUlxWj77rvvCoHCuXPnGm1A4ccff3xHMdyJJUuWFLq4uBTm5OQYbZs3by60sLAo/OWXXwoLCwsLc3NzCxs3blzYv3//wnr16hWOGDHCbI727dsXvvLKK4WFhYWFqamphUDh3r17i+ytpH3c7Kuvviq0tbU19nTlypXC8uXLF3755Zdm/YYPH14YEhJSWFhYWBgTE1NYr149s+djx44tBArPnz9f7L4nTpxYCBT5ZGVllXxYIiIPmefYhLIOQUREREQekKysrDv6PVQ3hEVEHpLjx4+Tm5tLp06din1ua2tLaGgoK1asAODAgQMcOXKE8PBwADp37oynpyfe3t6EhoayZs0aLl++DMCaNWtwcHAwPrt27SI1NRUrKysCAwONNXx8fEp98drtYrjTfTZq1Ah7e3ujrXXr1hQUFJCamgqAtbU1a9asYf369Vy5coW5c+eWOp+VlRVNmjQx2urWrYuzs/NtY8nIyOCpp54iKiqK/v37A3Dy5EkuX75M586dzc5s1apVpKWlGWs+/vjjZnO1bNmy1LViYmLIysoyPqdOnbptfCIiIiIiIiIPm1VZByAi8ndhZ2d32z4RERE0btyYn376ibi4OIKCgvD09ATA0dGRAwcOkJSUxNatW4mNjWXSpEmkpKTw5JNPmiUwq1evztatW+8pztJiuJ++/PJLAH777Td+++03swTy/XDp0iWefPJJWrZsyZQpU4z2G7WMN2/eTPXq1c3G/JGX0tnY2OildiIiIiIiIvLI0w1hEZGHxNfXFzs7u1Jfzubv70/Tpk1ZunQpa9euZdiwYWbPraysCA4OZtasWXzzzTekp6fz+eef4+joiI+Pj/Gxs7OjTp06XLt2jYMHDxrjT548yfnz50uN83Yx3I6fnx+HDx/m0qVLRltycjIWFhbUqVMHgLS0NEaPHs3SpUt5/PHHCQsLo6CgoNj56taty7Vr19i/f7/RlpqayoULF0qMobCwkMGDB1NQUMDq1asxmUzGs3r16mFjY0NGRobZmfn4+ODh4WHsYe/evWZzfv3113d1DiIiIiIiIiKPIiWERUQeEltbW8aOHUt0dLRRnuDrr79m+fLlZv0iIiKYOXMmhYWF9OnTx2hPSEjgnXfe4dChQ/z444+sWrWKgoICI8l6q7p16xIcHMxzzz3H3r17OXjwIM899xx2dnZmCdLilBTDnRg0aBC2traEhYVx5MgRduzYwcsvv0xoaChubm7k5+czePBgunTpwtChQ4mLi+Obb75hzpw5xc5Xp04dunbtyvPPP8+ePXvYv38/ERERpd64njRpEtu3b2fx4sXk5OTwyy+/8Msvv/D777/j6OhIVFQUo0ePZuXKlaSlpXHgwAH++c9/snLlSgD+X/buPCqrev3///MGZR5FVFQQUVQcEBRnTc0MJ46apRI55JSZKRoOHMMEJ3IoLbMSj6BmYeXQYGnKN+uIEw44JDkV4ilKc4DQRAR+f/hzf7wVlEpF8/VYa6/uvfd7uPberFj3xdtrDx8+nKNHjzJu3DgOHz7M+++/T0JCwp+6DyIi96P02K6lHYKIiIiIlDIlhEVE7qGoqCheeuklJk+ejJ+fH3369OHUqVNmbUJDQylTpgyhoaHY2NgYx11cXFi9ejWPPvoofn5+vPPOO3zwwQfUq1ev2PmWLVtGxYoVeeSRR+jZsydDhw7F0dHRbNyiFBcDXE22ent7F9vXzs6ODRs2cPbsWZo0acKTTz5Jhw4dWLBgAQDTp0/nxIkTvPvuuwB4eHiwaNEiXn75Zfbt21fkmPHx8VSuXJm2bdvyxBNPMGzYMCpUqFBsDN988w05OTm0bNkSDw8PY1u5ciUAU6dOJSoqipkzZ+Ln50enTp1Yt24d1atXB8DLy4tVq1axdu1aGjZsyDvvvMOMGTNuec9EREREREREHgSmwsLCwtIOQkRE/k96ejo1atQgJSXF7IVwd8L//vc/PD092bRpU7Evt7tdDAMGDMBkMmnF7G1kZ2fj7OxMVlYWTk5OpR2OiIiIiIiI/MOV9HuoXionInKfyMvL48yZM7z88ss0b978jiSD/9//+3/k5OTQoEEDMjMzGT9+PN7e3jzyyCN/KYbCwkI2b97Mli1b/nZsIiIiIiIiInLvKSEsInKfSE5Opn379tSqVYuPP/74joyZl5fHv//9b3744QccHR1p2bIlK1asoGzZsn8pBpPJxIkTJ+5IbCIiIiIiIiJy76lkhIiIPFBMJhNr1qyhR48eJWqfkJBAeHg458+fv6tx3UglI0REREREROReKun3UL1UTkRE7ktTpkwhICDgpuOZmZl07ty5xOP06dOHI0eO3MHIRERERERERB5cKhkhIiJ3VF5eXrElKe6ESpUq/an2tra22Nra3qVoREQeLN4T15V2CCJ3RHps19IOQURE5IGlFcIiInJbBQUFzJo1i5o1a2JtbY2XlxfTp08nPT0dk8nEypUradu2LTY2NqxYsQKAxYsX4+fnh42NDXXq1GHhwoVmY06YMIFatWphZ2eHj48PUVFR5OXlAVfLPERHR7Nv3z5MJhMmk4mEhATgasmItWvXAhjzr169mvbt22NnZ0fDhg3Ztm2bMU9CQgIuLi7G/rWVx8uXL8fb2xtnZ2f69u3L77//bna9M2fOpHr16tja2tKwYcM7VtdZREREREREpDRphbCIiNxWZGQkcXFxvP7667Ru3ZrMzEy+//574/zEiROZO3cugYGBRlJ48uTJLFiwgMDAQPbu3cvQoUOxt7dnwIABADg6OpKQkEDlypU5cOAAQ4cOxdHRkfHjx9OnTx8OHjzI+vXr2bRpEwDOzs7Fxjdp0iTmzJmDr68vkyZNIjQ0lGPHjlGmTNG/5o4fP87atWv5/PPPOXfuHL179yY2Npbp06cDMHPmTN577z3eeecdfH19+fbbb3nmmWdwd3enbdu2RY6Zm5tLbm6usZ+dnf3nbrKIiIiIiIjIPaCEsIiI3NLvv//O/PnzWbBggZHMrVGjBq1btyY9PR2A8PBwnnjiCaPPK6+8wty5c41j1atX59ChQ7z77rvGGC+//LLR3tvbm4iICBITExk/fjy2trY4ODhQpkyZEpWIiIiIoGvXq/90NDo6mnr16nHs2DHq1KlTZPuCggISEhJwdHQEoF+/fiQlJTF9+nRyc3OZMWMGmzZtokWLFgD4+PiwZcsW3n333WITwjNnziQ6Ovq2sYqIiIiIiIiUJiWERUTkltLS0sjNzaVDhw7FtgkKCjI+X7hwgePHjzN48GCGDh1qHL9y5YrZKt+VK1fyxhtvcPz4cXJycrhy5cot34J6K/7+/sZnDw8PAE6dOlVsQtjb29tIBl/rc+rUKQCOHTvGxYsX6dixo1mfy5cvExgYWGwMkZGRjB071tjPzs7G09Pzz1+MiIiIiIiIyF2khLCIiNxSSV7IZm9vb3zOyckBIC4ujmbNmpm1s7S0BGDbtm2EhYURHR1NcHAwzs7OJCYmMnfu3L8U4/UvsTOZTMDVVcAlaX+tz7X21+Jft24dVapUMWtnbW1d7JjW1ta3PC8iIiIiIiJyP1BCWEREbsnX1xdbW1uSkpIYMmTIbdtXrFiRypUr88MPPxAWFlZkm61bt1KtWjUmTZpkHDtx4oRZGysrK/Lz8/9e8H9B3bp1sba2JiMjo9jyECIiIiIiIiIPKiWERUTklmxsbJgwYQLjx4/HysqKVq1acfr0ab777rtiy0hER0czatQonJ2d6dSpE7m5uezatYtz584xduxYfH19ycjIIDExkSZNmrBu3TrWrFljNoa3tzc//vgjqampVK1aFUdHx3uyAtfR0ZGIiAjGjBlDQUEBrVu3Jisri+TkZJycnIwayCIiD6L02K6lHYKIiIiIlDIlhEVE5LaioqIoU6YMkydP5ueff8bDw4Phw4cX237IkCHY2dkxe/Zsxo0bh729PQ0aNCA8PByAf/3rX4wZM4aRI0eSm5tL165diYqKYsqUKcYYvXr1YvXq1bRv357z588THx/PwIED7+6F/v+mTp2Ku7s7M2fO5IcffsDFxYVGjRrx73//+57MLyIiIiIiInK3mAoLCwtLOwgREZF/muzsbJydncnKyvrLL8sTERERERERKamSfg+1uIcxiYiIiIiIiIiIiEgpUkJYRERERERERERE5CGhhLCIiPzjmUwm1q5dW9phiIiIiIiIiJQ6JYRFROQfY8qUKQQEBNx0PDMzk86dO9/7gERERERERETuM2VKOwAREZG8vDzKli1718avVKnSXRtbRORB4j1xXWmHcE+lx3Yt7RBERERE7jtaISwiIndFQUEBs2bNombNmlhbW+Pl5cX06dNJT0/HZDKxcuVK2rZti42NDStWrABg8eLF+Pn5YWNjQ506dVi4cKHZmBMmTKBWrVrY2dnh4+NDVFQUeXl5ACQkJBAdHc2+ffswmUyYTCYSEhIA85IR1+ZfvXo17du3x87OjoYNG7Jt2zazubZs2UKbNm2wtbXF09OTUaNGceHChbt700RERERERETuMq0QFhGRuyIyMpK4uDhef/11WrduTWZmJt9//71xfuLEicydO5fAwEAjKTx58mQWLFhAYGAge/fuZejQodjb2zNgwAAAHB0dSUhIoHLlyhw4cIChQ4fi6OjI+PHj6dOnDwcPHmT9+vVs2rQJAGdn52LjmzRpEnPmzMHX15dJkyYRGhrKsWPHKFOmDMePH6dTp05MmzaNJUuWcPr0aUaOHMnIkSOJj48vcrzc3Fxyc3ON/ezs7DtxG0VERERERETuKFNhYWFhaQchIiL/LL///jvu7u4sWLCAIUOGmJ1LT0+nevXqzJs3j9GjRxvHa9asydSpUwkNDTWOTZs2jS+++IKtW7cWOc+cOXNITExk165dwNUawmvXriU1NdWsnclkYs2aNfTo0cOYf/HixQwePBiAQ4cOUa9ePdLS0qhTpw5DhgzB0tKSd9991xhjy5YttG3blgsXLmBjY3NTLFOmTCE6Ovqm41lZWTg5Od3mjomI3BsqGSEiIiLyz5WdnY2zs/Ntv4dqhbCIiNxxaWlp5Obm0qFDh2LbBAUFGZ8vXLjA8ePHGTx4MEOHDjWOX7lyxWyV78qVK3njjTc4fvw4OTk5XLly5S8nW/39/Y3PHh4eAJw6dYo6deqwb98+9u/fb5SyACgsLKSgoIAff/wRPz+/m8aLjIxk7Nixxn52djaenp5/KTYRERERERGRu0UJYRERueNsbW1v28be3t74nJOTA0BcXBzNmjUza2dpaQnAtm3bCAsLIzo6muDgYJydnUlMTGTu3Ll/KcbrX2JnMpmAq3WPr8Xz3HPPMWrUqJv6eXl5FTmetbU11tbWfykWERERERERkXtFCWEREbnjfH19sbW1JSkp6aaSEUWpWLEilStX5ocffiAsLKzINlu3bqVatWpMmjTJOHbixAmzNlZWVuTn5/+94IFGjRpx6NAhatas+bfHEhEREREREbmfKCEsIiJ3nI2NDRMmTGD8+PFYWVnRqlUrTp8+zXfffVdsGYno6GhGjRqFs7MznTp1Ijc3l127dnHu3DnGjh2Lr68vGRkZJCYm0qRJE9atW8eaNWvMxvD29ubHH38kNTWVqlWr4ujo+JdW7U6YMIHmzZszcuRIhgwZgr29PYcOHWLjxo0sWLDgL90TEZH7gWrqioiIiIhFaQcgIiL/TFFRUbz00ktMnjwZPz8/+vTpw6lTp4ptP2TIEBYvXkx8fDwNGjSgbdu2JCQkUL16dQD+9a9/MWbMGEaOHElAQABbt24lKirKbIxevXrRqVMn2rdvj7u7Ox988MFfit3f359vvvmGI0eO0KZNGwIDA5k8eTKVK1f+S+OJiIiIiIiI3C9MhYWFhaUdhIiIyD9NSd/uKiIiIiIiInInlPR7qFYIi4iIiIiIiIiIiDwklBAWEREREREREREReUgoISwiIndVeno6JpOJ1NTUuzL+5s2bMZlMnD9/HoCEhARcXFyM81OmTCEgIOCuzC0iIiIiIiLyoFFCWERE7ipPT08yMzOpX78+cHMC926LiIggKSnpnswlIiIiIiIicr8rU9oBiIjIP5ulpSWVKlX60/0uX76MlZXV357fwcEBBweHvz2OiEhp8p647o6Mkx7b9Y6MIyIiIiIPLq0QFhGRO6KgoIBZs2ZRs2ZNrK2t8fLyYvr06WYlI9LT02nfvj0Arq6umEwmBg4cCEC7du0YOXIk4eHhlC9fnuDg4CLLTZw/fx6TycTmzZtLFNeNJSMGDhxIjx49mDNnDh4eHri5ufHCCy+Ql5dntMnNzSUiIoIqVapgb29Ps2bNSjyfiIiIiIiIyP1MK4RFROSOiIyMJC4ujtdff53WrVuTmZnJ999/b9bG09OTVatW0atXLw4fPoyTkxO2trbG+aVLl/L888+TnJx8V2P9+uuv8fDw4Ouvv+bYsWP06dOHgIAAhg4dCsDIkSM5dOgQiYmJVK5cmTVr1tCpUycOHDiAr69vkWPm5uaSm5tr7GdnZ9/VaxARERERERH5K5QQFhGRv+33339n/vz5LFiwgAEDBgBQo0YNWrduTXp6utHO0tKScuXKAVChQgWzl78B+Pr6MmvWLGP/+r53kqurKwsWLMDS0pI6derQtWtXkpKSGDp0KBkZGcTHx5ORkUHlypWBq3WI169fT3x8PDNmzChyzJkzZxIdHX1X4hURERERERG5U5QQFhGRvy0tLY3c3Fw6dOjwt8Zp3LjxHYro1urVq4elpaWx7+HhwYEDBwA4cOAA+fn51KpVy6xPbm4ubm5uxY4ZGRnJ2LFjjf3s7Gw8PT3vcOQiIiIiIiIif48SwiIi8rddX/bh77C3tzfbt7C4Wuq+sLDQOHZ9rd+/qmzZsmb7JpOJgoICAHJycrC0tGT37t1mSWPgli+ns7a2xtra+m/HJiIiIiIiInI3KSEsIiJ/m6+vL7a2tiQlJTFkyJBbtrWysgIgPz//tuO6u7sDkJmZSWBgIIDZC+buhsDAQPLz8zl16hRt2rS5q3OJiJRUemzX0g5BRERERP4hlBAWEZG/zcbGhgkTJjB+/HisrKxo1aoVp0+f5rvvvrupjES1atUwmUx8/vnndOnSBVtb22JX3tra2tK8eXNiY2OpXr06p06d4uWXX76r11KrVi3CwsLo378/c+fOJTAwkNOnT5OUlIS/vz9duyopIyIiIiIiIg8ui9IOQERE/hmioqJ46aWXmDx5Mn5+fvTp04dTp07d1K5KlSpER0czceJEKlasyMiRI2857pIlS7hy5QqNGzcmPDycadOm3a1LMMTHx9O/f39eeuklateuTY8ePUhJScHLy+uuzy0iIiIiIiJyN5kKry/MKCIiIndEdnY2zs7OZGVl4eTkVNrhiIiIiIiIyD9cSb+HaoWwiIiIiIiIiIiIyENCCWERkb9p8+bNmEwmzp8/X9qhlMjAgQPp0aNHaYdxV0yZMoWAgIDSDkNERERERETkvqWEsIg8VH755RdefPFFfHx8sLa2xtPTk5CQEJKSkko7tFLTrl07wsPD79l8CQkJuLi43LP5REREREREROT/lCntAERE7pX09HRatWqFi4sLs2fPpkGDBuTl5bFhwwZeeOEFvv/++9IO8b5VWFhIfn4+Zcro14aIyIPMe+K6P90nPbbrXYhEREREREqLVgiLyENjxIgRmEwmdu7cSa9evahVqxb16tVj7NixbN++vdh+W7duJSAgABsbG4KCgli7di0mk4nU1NSb2l64cAEnJyc+/vhjs+Nr167F3t6e33//HYD//e9/hIaGUq5cOezt7QkKCmLHjh1G+7fffpsaNWpgZWVF7dq1Wb58uXGusLCQKVOm4OXlhbW1NZUrV2bUqFEAxMTEUL9+/ZviCggIICoq6qbjAwcO5JtvvmH+/PmYTCZMJhPp6elGGYwvv/ySxo0bY21tzXvvvYeFhQW7du0yG2PevHlUq1aNgoICo9+6devw9/fHxsaG5s2bc/DgQeBqeY1nn32WrKwsY74pU6YAcO7cOfr374+rqyt2dnZ07tyZo0ePGvNcW1m8du1afH19sbGxITg4mJMnT950XcuXL8fb2xtnZ2f69u1r3HeA9evX07p1a1xcXHBzc6Nbt24cP37cOJ+eno7JZGL16tW0b98eOzs7GjZsyLZt226aR0RERERERORBo4SwiDwUzp49y/r163nhhRewt7e/6XxxJQyys7MJCQmhQYMG7Nmzh6lTpzJhwoRi57G3t6dv377Ex8ebHY+Pj+fJJ5/E0dGRnJwc2rZty08//cSnn37Kvn37GD9+PAUFBQCsWbOG0aNH89JLL3Hw4EGee+45nn32Wb7++msAVq1axeuvv867777L0aNHWbt2LQ0aNABg0KBBpKWlkZKSYsy9d+9e9u/fz7PPPntTvPPnz6dFixYMHTqUzMxMMjMz8fT0NM5PnDiR2NhY0tLS+Ne//sVjjz1W5LUNHDgQC4v/+5Uybtw45s6dS0pKCu7u7oSEhJCXl0fLli2ZN28eTk5OxnwRERHA1eT0rl27+PTTT9m2bRuFhYV06dKFvLw8Y9yLFy8yffp0li1bRnJyMufPn6dv375m8Rw/fpy1a9fy+eef8/nnn/PNN98QGxtrnL9w4QJjx45l165dJCUlYWFhQc+ePY37f82kSZOIiIggNTWVWrVqERoaypUrV4p79CIiIiIiIiIPBP3bXxF5KBw7dozCwkLq1Knzp/q9//77mEwm4uLisLGxoW7duvz0008MHTq02D5DhgyhZcuWZGZm4uHhwalTp/jiiy/YtGmTMebp06dJSUmhXLlyANSsWdPoP2fOHAYOHMiIESMAjBXMc+bMoX379mRkZFCpUiUee+wxypYti5eXF02bNgWgatWqBAcHEx8fT5MmTYCrCdu2bdvi4+NzU6zOzs5YWVlhZ2dHpUqVbjofExNDx44dza5t+PDhvPbaa1hbW7Nnzx4OHDjAJ598YtbvlVdeMfotXbqUqlWrsmbNGnr37o2zszMmk8lsvqNHj/Lpp5+SnJxMy5YtAVixYgWenp6sXbuWp556CoC8vDwWLFhAs2bNjLH9/PzYuXOncQ8KCgpISEjA0dERgH79+pGUlMT06dMB6NWrl1msS5Yswd3dnUOHDpmtro6IiKBr16v/TDo6Opp69epx7NixYn+GcnNzyc3NNfazs7OLbCciIiIiIiJSmrRCWEQeCoWFhbdtM3z4cBwcHIwN4PDhw0bpg2uuJR6L07RpU+rVq8fSpUsBeO+996hWrRqPPPIIAKmpqQQGBhrJ4BulpaXRqlUrs2OtWrUiLS0NgKeeeoo//vgDHx8fhg4dypo1a8xWrg4dOpQPPviAS5cucfnyZd5//30GDRp02+svSlBQkNl+jx49sLS0ZM2aNcDVMg7t27fH29vbrF2LFi2Mz+XKlaN27dpG/MVdc5kyZYxEL4Cbm9tN/cqUKWMkugHq1KmDi4uLWRtvb28jGQwYSflrjh49SmhoKD4+Pjg5ORmxZ2RkmMXk7+9vNgZgNs6NZs6cibOzs7Fdv9JaRERERERE5H6hhLCIPBR8fX0xmUy3fHFcTEwMqampxvZ3DBkyhISEBODqCt1nn30Wk8kEgK2t7d8a29PTk8OHD7Nw4UJsbW0ZMWIEjzzyiFFaISQkBGtra9asWcNnn31GXl4eTz755F+a68byGlZWVvTv35/4+Pi/nWy+W8qWLWu2bzKZzMpBhISEcPbsWeLi4tixY4dRu/ny5cvFjnPt2d1YVuJ6kZGRZGVlGVtRtY1FRERERERESpsSwiLyUChXrhzBwcG89dZbXLhw4abz58+fp0KFCtSsWdPYAGrXrs2BAwfMSgFcX5+3OM888wwnTpzgjTfe4NChQwwYMMA45+/vT2pqKmfPni2yr5+fH8nJyWbHkpOTqVu3rrFva2tLSEgIb7zxBps3b2bbtm0cOHAAuLqKdsCAAcTHxxMfH0/fvn1vmYS2srIiPz//ttd0zZAhQ9i0aRMLFy7kypUrPPHEEze1uf4lfefOnePIkSP4+fkVO5+fnx9Xrlwxe7HemTNnOHz4sNl1X7lyxeyldocPH+b8+fPG2LdzbcyXX36ZDh064Ofnx7lz50p24bdhbW2Nk5OT2SYiIiIiIiJyv1ENYRF5aLz11lu0atWKpk2bEhMTg7+/P1euXGHjxo28/fbbRZY0ePrpp5k0aRLDhg1j4sSJZGRkMGfOHOD/Vo0WxdXVlSeeeIJx48bx+OOPU7VqVeNcaGgoM2bMoEePHsycORMPDw/27t1L5cqVadGiBePGjaN3794EBgby2GOP8dlnn7F69WqjBnFCQgL5+fk0a9YMOzs73nvvPWxtbalWrZoxx5AhQ4wk6Y3J5Rt5e3uzY8cO0tPTcXBwKLaUxTV+fn40b96cCRMmMGjQoCKTzTExMbi5uVGxYkUmTZpE+fLl6dGjhzFfTk4OSUlJNGzYEDs7O3x9fenevTtDhw7l3XffxdHRkYkTJ1KlShW6d+9ujFu2bFlefPFF3njjDcqUKcPIkSNp3rz5bct4XOPq6oqbmxuLFi3Cw8ODjIwMJk6cWKK+IiL/BOmxXUs7BBEREREpZVohLCIPDR8fH/bs2UP79u156aWXqF+/Ph07diQpKYm33367yD5OTk589tlnpKamEhAQwKRJk5g8eTKAWV3hogwePJjLly/fVFLBysqKr776igoVKtClSxcaNGhAbGwslpaWwNU6vfPnz2fOnDnUq1ePd999l/j4eNq1aweAi4sLcXFxtGrVCn9/fzZt2sRnn32Gm5ubMYevry8tW7akTp06ZnV5ixIREYGlpSV169bF3d39plq6f+baromNjWX06NE0btyYX375hc8++wwrKysAWrZsyfDhw+nTpw/u7u7MmjULuFpao3HjxnTr1o0WLVpQWFjIF198YVa6wc7OjgkTJvD000/TqlUrHBwcWLly5W3jvcbCwoLExER2795N/fr1GTNmDLNnzy5xfxEREREREZEHnamwJG9aEhERw4oVK3j22WfJysq6ZSmG5cuXM2bMGH7++WcjGXqvFBYW4uvry4gRIxg7duwdH3/q1Kl89NFH7N+/3+z45s2bad++PefOncPFxeWOzpmQkEB4eDjnz5+/o+PeLdnZ2Tg7O5OVlaXyESIiIiIiInLXlfR7qEpGiIjcxrJly/Dx8aFKlSrs27ePCRMm0Lt372KTwRcvXiQzM5PY2Fiee+65e54MPn36NImJifzyyy88++yzd3TsnJwc0tPTWbBgAdOmTbujY4uIiIiIiIjI3aeSESIit/HLL7/wzDPP4Ofnx5gxY3jqqadYtGhRse1nzZpFnTp1qFSpEpGRkfcw0qsqVKhATEwMixYtwtXV9Y6OPXLkSBo3bky7du2KLRchIiIiIiIiIvcvlYwQEZF7ol27dgQEBDBv3rx7Ou/dLGNxKyoZISIiIiIiIvdSSb+HaoWwiIg8EBISEv5SQrdly5ZkZmbi7Ox854MSERERERERecCohrCIiPyjWVlZUalSpdIOQ0QeYN4T15V2CHdMemzX0g5BREREREqZVgiLiMg9c+XKFUaOHImzszPly5cnKiqKa5WLcnNziYiIoEqVKtjb29OsWTM2b94MXC378Oyzz5KVlYXJZMJkMjFlyhQAli9fTlBQEI6OjlSqVImnn36aU6dOGXNu3rwZk8nE+fPngf9babxhwwb8/PxwcHCgU6dOZGZmmsW6ePFi/Pz8sLGxoU6dOixcuPCu3x8RERERERGRu00JYRERuWeWLl1KmTJl2LlzJ/Pnz+e1115j8eLFwNUX1m3bto3ExET279/PU089RadOnTh69CgtW7Zk3rx5ODk5kZmZSWZmJhEREQDk5eUxdepU9u3bx9q1a0lPT2fgwIG3jOPixYvMmTOH5cuX8+2335KRkWGMB7BixQomT57M9OnTSUtLY8aMGURFRbF06dK7dm9ERERERERE7gWVjBARkXvG09OT119/HZPJRO3atTlw4ACvv/46wcHBxMfHk5GRQeXKlQGIiIhg/fr1xMfHM2PGDJydnTGZTDeVfxg0aJDx2cfHhzfeeIMmTZqQk5ODg4NDkXHk5eXxzjvvUKNGDeBqMjomJsY4/8orrzB37lyeeOIJAKpXr86hQ4d49913GTBgQJFj5ubmkpuba+xnZ2f/hTskIiIiIiIicndphbCIiNwzzZs3x2QyGfstWrTg6NGjHDhwgPz8fGrVqoWDg4OxffPNNxw/fvyWY+7evZuQkBC8vLxwdHSkbdu2AGRkZBTbx87OzkgGA3h4eBhlJi5cuMDx48cZPHiwWSzTpk27ZSwzZ87E2dnZ2Dw9PUt0T0RERERERETuJa0QFhGRUpeTk4OlpSW7d+/G0tLS7Fxxq3zhavI2ODiY4OBgVqxYgbu7OxkZGQQHB3P58uVi+5UtW9Zs32QyGbWMc3JyAIiLi6NZs2Zm7W6M7XqRkZGMHTvW2M/OzlZSWERERERERO47SgiLiMg9s2PHDrP97du34+vrS2BgIPn5+Zw6dYo2bdoU2dfKyor8/HyzY99//z1nzpwhNjbWSL7u2rXrb8VYsWJFKleuzA8//EBYWFiJ+1lbW2Ntbf235hYRERERERG525QQFhGReyYjI4OxY8fy3HPPsWfPHt58803mzp1LrVq1CAsLo3///sydO5fAwEBOnz5NUlIS/v7+dO3aFW9vb3JyckhKSqJhw4bY2dnh5eWFlZUVb775JsOHD+fgwYNMnTr1b8cZHR3NqFGjcHZ2plOnTuTm5rJr1y7OnTtntgpYRB4O6bFdSzsEEREREZE7RjWERUTknunfvz9//PEHTZs25YUXXmD06NEMGzYMgPj4ePr3789LL71E7dq16dGjBykpKXh5eQHQsmVLhg8fTp8+fXB3d2fWrFm4u7uTkJDARx99RN26dYmNjWXOnDl/O84hQ4awePFi4uPjadCgAW3btiUhIYHq1av/7bFFRERERERESpOp8FrRRBEREbljsrOzcXZ2JisrCycnp9IOR0RERERERP7hSvo9VCuERURERERERERERB4SSgiLiIiIiIiIiIiIPCSUEBaR+1K7du0IDw8v7TAASEhIwMXF5YEZ90GN43omk4m1a9eWdhgiIiIiIiIi/zhKCIvIP9L9mOS8X/Xp04cjR46UdhilYvPmzZhMJs6fP1/aoYiIiIiIiIjcE2VKOwARESna5cuXsbKyuuvz2NraYmtre9fnuZfu1b0TEXnQeE9cV6J26bFd73IkIiIiIlJatEJYRO5bV65cYeTIkTg7O1O+fHmioqIoLCwEIDc3l4iICKpUqYK9vT3NmjVj8+bNwNVVn88++yxZWVmYTCZMJhNTpkwBYPny5QQFBeHo6EilSpV4+umnOXXqVIni2bBhA35+fjg4ONCpUycyMzMB+Pbbbylbtiy//PKLWfvw8HDatGlj7CckJODl5YWdnR09e/bkzJkzZu2nTJlCQEAAixcvpnr16tjY2ACQkZFB9+7dcXBwwMnJid69e/Prr78C8P3332NnZ8f7779vjPPhhx9ia2vLoUOHShTbjaup9+3bR/v27XF0dMTJyYnGjRuza9cu4/yqVauoV68e1tbWeHt7M3fuXOPcv//9b5o1a3bTvWvYsCExMTEApKSk0LFjR8qXL4+zszNt27Zlz549t7z3J0+epHfv3ri4uFCuXDm6d+9Oenq6cX7gwIH06NGD6dOnU7lyZWrXrg3c+nmnp6fTvn17AFxdXTGZTAwcOBCAgoICZs6cSfXq1bG1taVhw4Z8/PHHt4xRRERERERE5EGghLCI3LeWLl1KmTJl2LlzJ/Pnz+e1115j8eLFAIwcOZJt27aRmJjI/v37eeqpp+jUqRNHjx6lZcuWzJs3DycnJzIzM8nMzCQiIgKAvLw8pk6dyr59+1i7di3p6elGEvBWLl68yJw5c1i+fDnffvstGRkZxpiPPPIIPj4+LF++3Gifl5fHihUrGDRoEAA7duxg8ODBjBw5ktTUVNq3b8+0adNumufYsWOsWrWK1atXk5qaSkFBAd27d+fs2bN88803bNy4kR9++IE+ffoAUKdOHebMmcOIESPIyMjgf//7H8OHD+fVV1+lbt26JYrtRmFhYVStWpWUlBR2797NxIkTKVu2LAC7d++md+/e9O3blwMHDjBlyhSioqJISEgw+u7cuZPjx48b43333Xfs37+fp59+GoDff/+dAQMGsGXLFrZv346vry9dunTh999/LzKevLw8goODcXR05L///S/JyclGUv7y5ctGu6SkJA4fPszGjRv5/PPPjb7FPW9PT09WrVoFwOHDh8nMzGT+/PkAzJw5k2XLlvHOO+/w3XffMWbMGJ555hm++eabImMUEREREREReWAUiojch9q2bVvo5+dXWFBQYBybMGFCoZ+fX+GJEycKLS0tC3/66SezPh06dCiMjIwsLCwsLIyPjy90dna+7TwpKSmFQOHvv/9ebJv4+PhCoPDYsWPGsbfeequwYsWKxv6rr75a6OfnZ+yvWrWq0MHBoTAnJ6ewsLCwMDQ0tLBLly5m4/bp08csxldeeaWwbNmyhadOnTKOffXVV4WWlpaFGRkZxrHvvvuuECjcuXOncaxr166Fbdq0KezQoUPh448/bnbfbhfbjffK0dGxMCEhoch78fTTTxd27NjR7Ni4ceMK69ata+w3bNiwMCYmxtiPjIwsbNasWZHjFRYWFubn5xc6OjoWfvbZZ8YxoHDNmjWFhYWFhcuXLy+sXbu22TXl5uYW2traFm7YsKGwsLCwcMCAAYUVK1YszM3NLXaewsKbn/fXX39dCBSeO3fOaHPp0qVCOzu7wq1bt5r1HTx4cGFoaGixY1+6dKkwKyvL2E6ePFkIFGZlZd0yJhGRe6nahM9LtImIiIjIgycrK6tE30O1QlhE7lvNmzfHZDIZ+y1atODo0aMcOHCA/Px8atWqhYODg7F98803ZitTi7J7925CQkLw8vLC0dGRtm3bAlfLMgDUq1fPGK9z585GPzs7O2rUqGHse3h4mJWaGDhwIMeOHWP79u3A1TIMvXv3xt7eHoC0tLSbSim0aNHipviqVauGu7u7sZ+Wloanpyeenp7Gsbp16+Li4kJaWppxbMmSJezfv589e/aQkJBgdt9uF9uNxo4dy5AhQ3jssceIjY01u6dpaWm0atXKrH2rVq04evQo+fn5wNVVwtdKWBQWFvLBBx8QFhZmtP/1118ZOnQovr6+ODs74+TkRE5OjvEMbrRv3z6OHTuGo6Oj8WzKlSvHpUuXzGJr0KDBTXWDb/e8i3Ls2DEuXrxIx44dzX6+li1bdsufr5kzZ+Ls7Gxs1z8zERERERERkfuFXionIg+cnJwcLC0t2b17N5aWlmbnHBwciu134cIFgoODCQ4OZsWKFbi7u5ORkUFwcLBReuCLL74gLy8PwOxFa9dKJlxjMpmMesYAFSpUICQkhPj4eKpXr86XX35p1DT+M4pL0t7Ovn37uHDhAhYWFmRmZuLh4fGXY5syZQpPP/0069at48svv+SVV14hMTGRnj17liiW0NBQJkyYwJ49e/jjjz84efKkUeICYMCAAZw5c4b58+dTrVo1rK2tadGihVn5h+vl5OTQuHFjVqxYcdO565PnN967kjzv4uYDWLduHVWqVDE7Z21tXWy/yMhIxo4da+xnZ2crKSwiIiIiIiL3HSWEReS+tWPHDrP9a/VmAwMDyc/P59SpU2YvbbuelZWVsWL1mu+//54zZ84QGxtrJOquf1kaXF2h+1cNGTKE0NBQqlatSo0aNcxW0vr5+RV5Pbfj5+fHyZMnOXnypBHzoUOHOH/+PHXr1gXg7NmzDBw4kEmTJpGZmUlYWBh79uwxS2jfKrai1KpVi1q1ajFmzBhCQ0OJj4+nZ8+e+Pn5kZycbNY2OTmZWrVqGcn5qlWr0rZtW1asWMEff/xBx44dqVChgln7hQsX0qVLF+DqC+N+++23YmNp1KgRK1eupEKFCjg5Od32nl1Tkud9bUXx9T8rdevWxdramoyMDGNFcUlYW1vfMmEsIiIiIiIicj9QQlhE7lsZGRmMHTuW5557jj179vDmm28yd+5catWqRVhYGP3792fu3LkEBgZy+vRpkpKS8Pf3p2vXrnh7e5OTk0NSUhINGzbEzs4OLy8vrKysePPNNxk+fDgHDx5k6tSpdyze4OBgnJycmDZtGjExMWbnRo0aRatWrZgzZw7du3dnw4YNrF+//rZjPvbYYzRo0ICwsDDmzZvHlStXGDFiBG3btiUoKAiA4cOH4+npycsvv0xubi6BgYFERETw1ltvlSi26/3xxx+MGzeOJ598kurVq/O///2PlJQUevXqBcBLL71EkyZNmDp1Kn369GHbtm0sWLCAhQsXmo0TFhbGK6+8wuXLl3n99dfNzvn6+rJ8+XKCgoLIzs5m3LhxZsnrG4WFhTF79my6d+9OTEwMVatW5cSJE6xevZrx48dTtWrVIvuV5HlXq1YNk8nE559/TpcuXbC1tcXR0ZGIiAjGjBlDQUEBrVu3Jisri+TkZJycnBgwYECxsYqI3O/SY7uWdggiIiIiUspUQ1hE7lv9+/fnjz/+oGnTprzwwguMHj2aYcOGARAfH0///v156aWXqF27Nj169CAlJQUvLy8AWrZsyfDhw+nTpw/u7u7MmjULd3d3EhIS+Oijj6hbty6xsbHMmTPnjsVrYWHBwIEDyc/Pp3///mbnmjdvTlxcHPPnz6dhw4Z89dVXvPzyy7cd02Qy8cknn+Dq6sojjzzCY489ho+PDytXrgRg2bJlfPHFFyxfvpwyZcpgb2/Pe++9R1xcHF9++WWJYruepaUlZ86coX///tSqVYvevXvTuXNnoqOjgaurdT/88EMSExOpX78+kydPJiYmhoEDB5qN8+STT3LmzBkuXrxIjx49zM795z//4dy5czRq1Ih+/foxatQosxXEN7Kzs+Pbb7/Fy8uLJ554Aj8/PwYPHsylS5duuWK4JM+7SpUqREdHM3HiRCpWrMjIkSMBmDp1KlFRUcycORM/Pz86derEunXrqF69erHziYiIiIiIiDwITIXXF8EUEZG/ZfDgwZw+fZpPP/20tEO5yf0c2z9RdnY2zs7OZGVl/alSFyIiIiIiIiJ/RUm/h6pkhIjIHZCVlcWBAwd4//3377uE6/0cm4iIiIiIiIjcW0oIi4jcAd27d2fnzp0MHz6cjh07lnY4Zu7n2ERERERERETk3lLJCBF5qLVr146AgADmzZtX2qHc1t2MNSEhgfDwcM6fP1/iPgMHDuT8+fOsXbv2jsfzT6CSESIiIiIiInIvlfR7qF4qJyLyNyQkJODi4nJP5lq9ejVTp0419r29vR+IRPb1TCbTfZVAbteuHeHh4aUdhoiIiIiIiMg9o5IRIiIPiHLlyv3pPvn5+ZhMJiws9Pc/EREB74nr7sq46bFd78q4IiIiInLnKUMgIg+9K1euMHLkSJydnSlfvjxRUVFcq6aTm5tLREQEVapUwd7enmbNmrF582YANm/ezLPPPktWVhYmkwmTycSUKVMAWL58OUFBQTg6OlKpUiWefvppTp06ddtYkpOTadeuHXZ2dri6uhIcHMy5c+cA89Ws7dq148SJE4wZM8aYG/5vxfKnn35K3bp1sba2ZsuWLZQtW5ZffvnFbK7w8HDatGlTbCzTpk2jQoUKODo6MmTIECZOnEhAQECx7YtasRwQEGDcE29vbwB69uyJyWQy9o8fP0737t2pWLEiDg4ONGnShE2bNt009rRp0+jfvz8ODg5Uq1aNTz/9lNOnT9O9e3ccHBzw9/dn165dRp8zZ84QGhpKlSpVsLOzo0GDBnzwwQfG+YEDB/LNN98wf/584x6mp6cDcPDgQTp37oyDgwMVK1akX79+/Pbbb8Veu4iIiIiIiMiDQglhEXnoLV26lDJlyrBz507mz5/Pa6+9xuLFiwEYOXIk27ZtIzExkf379/PUU0/RqVMnjh49SsuWLZk3bx5OTk5kZmaSmZlJREQEAHl5eUydOpV9+/axdu1a0tPTGThw4C3jSE1NpUOHDtStW5dt27axZcsWQkJCyM/Pv6nt6tWrqVq1KjExMcbc11y8eJFXX32VxYsX89133xEUFISPjw/Lly832uTl5bFixQoGDRpUZCwrVqxg+vTpvPrqq+zevRsvLy/efvvtP3trzaSkpAAQHx9PZmamsZ+Tk0OXLl1ISkpi7969dOrUiZCQEDIyMsz6v/7667Rq1Yq9e/fStWtX+vXrR//+/XnmmWfYs2cPNWrUoH///kYy/9KlSzRu3Jh169Zx8OBBhg0bRr9+/di5cycA8+fPp0WLFgwdOtS4h56enpw/f55HH32UwMBAdu3axfr16/n111/p3bv3La8vNzeX7Oxss01ERERERETkfqOSESLy0PP09OT111/HZDJRu3ZtDhw4wOuvv05wcDDx8fFkZGRQuXJlACIiIli/fj3x8fHMmDEDZ2dnTCYTlSpVMhvz+kSrj48Pb7zxBk2aNCEnJwcHB4ci45g1axZBQUEsXLjQOFavXr0i25YrVw5LS0tjBfL18vLyWLhwIQ0bNjSODR48mPj4eMaNGwfAZ599xqVLl4pNcr755psMHjyYZ599FoDJkyfz1VdfkZOTU2T7knB3dwfAxcXFLOaGDRuaxTp16lTWrFnDp59+ysiRI43jXbp04bnnnjPiefvtt2nSpAlPPfUUABMmTKBFixb8+uuvVKpUiSpVqhgJeoAXX3yRDRs28OGHH9K0aVOcnZ2xsrLCzs7OLJ4FCxYQGBjIjBkzjGNLlizB09OTI0eOUKtWrSKvb+bMmURHR//l+yMiIiIiIiJyL2iFsIg89Jo3b26UXABo0aIFR48e5cCBA+Tn51OrVi0cHByM7ZtvvuH48eO3HHP37t2EhITg5eWFo6Mjbdu2BTBWvdarV88Yr3PnzsD/rRD+u6ysrPD39zc7NnDgQI4dO8b27duBq6Ulevfujb29fZFjHD58mKZNm5odu3H/TsnJySEiIgI/Pz9cXFxwcHAgLS3tphXC119TxYoVAWjQoMFNx66V5sjPz2fq1Kk0aNCAcuXK4eDgwIYNG24a90b79u3j66+/NnvmderUAbjlc4+MjCQrK8vYTp48+SfugoiIiIiIiMi9oRXCIiLFyMnJwdLSkt27d2NpaWl2rrhVvgAXLlwgODiY4OBgVqxYgbu7OxkZGQQHB3P58mUAvvjiC/Ly8gCwtbU1++/fZWtra5bgBqhQoQIhISHEx8dTvXp1vvzyS6MW8p1iYWFhlGu45to13kpERAQbN25kzpw51KxZE1tbW5588knjXl1TtmxZ4/O16yvqWEFBAQCzZ89m/vz5zJs3jwYNGmBvb094ePhN494oJyeHkJAQXn311ZvOeXh4FNvP2toaa2vr21ytiIiIiIiISOlSQlhEHno7duww29++fTu+vr4EBgaSn5/PqVOnin35mpWV1U01fr///nvOnDlDbGwsnp6eAGYvOwOoVq3aTWP5+/uTlJRU4rIDRc19K0OGDCE0NJSqVatSo0YNWrVqVWzb2rVrk5KSQv/+/Y1j12r+Fsfd3d2slnF2djY//vijWZuyZcveFHNycjIDBw6kZ8+ewNWE7LWXu/0dycnJdO/enWeeeQa4mig+cuQIdevWNdoUdQ8bNWrEqlWr8Pb2pkwZ/ZoUERERERGRfxZ90xWRh15GRgZjx47lueeeY8+ePbz55pvMnTuXWrVqERYWRv/+/Zk7dy6BgYGcPn2apKQk/P396dq1K97e3uTk5JCUlETDhg2xs7PDy8sLKysr3nzzTYYPH87BgweZOnXqbeOIjIykQYMGjBgxguHDh2NlZcXXX3/NU089Rfny5W9q7+3tzbfffkvfvn2xtrYuss31goODcXJyYtq0acTExNyy7YsvvsjQoUMJCgqiZcuWrFy5kv379+Pj41Nsn0cffZSEhARCQkJwcXFh8uTJN62s9vb2JikpiVatWmFtbY2rqyu+vr6sXr2akJAQTCYTUVFRxirfv8PX15ePP/6YrVu34urqymuvvcavv/5qlhD29vZmx44dpKen4+DgQLly5XjhhReIi4sjNDSU8ePHU65cOY4dO0ZiYiKLFy++6ZpERB4k6bFdSzsEERERESllqiEsIg+9/v3788cff9C0aVNeeOEFRo8ezbBhwwCIj4+nf//+vPTSS9SuXZsePXqQkpKCl5cXAC1btmT48OH06dMHd3d3Zs2ahbu7OwkJCXz00UfUrVuX2NhY5syZc9s4atWqxVdffcW+ffto2rQpLVq04JNPPil2lWpMTAzp6enUqFHDeGHbrVhYWDBw4EDy8/PNVv4WJSwsjMjISCIiImjUqBE//vgjAwcOxMbGptg+kZGRtG3blm7dutG1a1d69OhBjRo1zNrMnTuXjRs34unpSWBgIACvvfYarq6utGzZkpCQEIKDg2nUqNFtr+d2Xn75ZRo1akRwcDDt2rWjUqVK9OjRw6xNREQElpaW1K1b1yjtUblyZZKTk8nPz+fxxx+nQYMGhIeH4+LigoWFfm2KiIiIiIjIg81UeGPBRxER+ccaPHgwp0+f5tNPP/3TfTt27EilSpVYvnz5XYjsnyc7OxtnZ2eysrJwcnIq7XBERERERETkH66k30NVMkJE5CGQlZXFgQMHeP/990uUDL548SLvvPMOwcHBWFpa8sEHH7Bp0yY2btx4D6IVERERERERkbtFCWERkYdA9+7d2blzJ8OHD6djx463bW8ymfjiiy+YPn06ly5donbt2qxatYrHHnvsHkQrIiIiIiIiIneLSkaIiIjcBSoZISIiIiIiIvdSSb+H6u04IiLyj9CuXTvCw8P/dL+BAwfe9LI5ERERERERkX8qlYwQEZEH2uXLl7GysirtMEREHgjeE9eVdgj3RHps19IOQUREROS+pRXCIiLyp6xfv57WrVvj4uKCm5sb3bp14/jx48DV5OzIkSPx8PDAxsaGatWqMXPmTKOvyWTi7bffpnPnztja2uLj48PHH39sNv6ECROoVasWdnZ2+Pj4EBUVRV5ennF+ypQpBAQEsHjxYqpXr46NjQ0DBw7km2++Yf78+ZhMJkwmE+np6eTn5zN48GCqV6+Ora0ttWvXZv78+WZjLV26lE8++cTot3nzZgBOnjxJ7969cXFxoVy5cnTv3p309PS7d2NFRERERERE7gGtEBYRkT/lwoULjB07Fn9/f3Jycpg8eTI9e/YkNTWVN954g08//ZQPP/wQLy8vTp48ycmTJ836R0VFERsby/z581m+fDl9+/blwIED+Pn5AeDo6EhCQgKVK1fmwIEDDB06FEdHR8aPH2+McezYMVatWsXq1auxtLSkWrVqHDlyhPr16xMTEwOAu7s7BQUFVK1alY8++gg3Nze2bt3KsGHD8PDwoHfv3kRERJCWlkZ2djbx8fEAlCtXjry8PIKDg2nRogX//e9/KVOmDNOmTaNTp07s37+/yBXJubm55ObmGvvZ2dl3/N6LiIiIiIiI/F1KCIuIyJ/Sq1cvs/0lS5bg7u7OoUOHyMjIwNfXl9atW2MymahWrdpN/Z966imGDBkCwNSpU9m4cSNvvvkmCxcuBODll1822np7exMREUFiYqJZQvjy5cssW7YMd3d345iVlRV2dnZUqlTJOGZpaUl0dLSxX716dbZt28aHH35I7969cXBwwNbWltzcXLN+7733HgUFBSxevBiTyQRAfHw8Li4ubN68mccff/ym65o5c6bZXCIiIiIiIiL3I5WMEBGRP+Xo0aOEhobi4+ODk5MT3t7eAGRkZDBw4EBSU1OpXbs2o0aN4quvvrqpf4sWLW7aT0tLM/ZXrlxJq1atqFSpEg4ODrz88stkZGSY9alWrZpZMvhW3nrrLRo3boy7uzsODg4sWrTopvFutG/fPo4dO4ajoyMODg44ODhQrlw5Ll26ZJTHuFFkZCRZWVnGduPKaBEREREREZH7gVYIi4jInxISEkK1atWIi4ujcuXKFBQUUL9+fS5fvkyjRo348ccf+fLLL9m0aRO9e/fmscceu6lOcHG2bdtGWFgY0dHRBAcH4+zsTGJiInPnzjVrZ29vX6LxEhMTiYiIYO7cubRo0QJHR0dmz57Njh07btkvJyeHxo0bs2LFipvOFZeItra2xtraukRxiYiIiIiIiJQWJYRFRKTEzpw5w+HDh4mLi6NNmzYAbNmyxayNk5MTffr0oU+fPjz55JN06tSJs2fPUq5cOQC2b99O//79jfbbt28nMDAQgK1bt1KtWjUmTZpknD9x4kSJYrOysiI/P9/sWHJyMi1btmTEiBHGsRtX+BbVr1GjRqxcuZIKFSrg5ORUovlFREREREREHgRKCIuISIm5urri5ubGokWL8PDwICMjg4kTJxrnX3vtNTw8PAgMDMTCwoKPPvqISpUq4eLiYrT56KOPCAoKonXr1qxYsYKdO3fyn//8BwBfX18yMjJITEykSZMmrFu3jjVr1pQoNm9vb3bs2EF6erpR4sHX15dly5axYcMGqlevzvLly0lJSaF69epm/TZs2MDhw4dxc3PD2dmZsLAwZs+eTffu3YmJiaFq1aqcOHGC1atXM378eKpWrXpnbqiIyD2WHtu1tEMQERERkVKmGsIiIlJiFhYWJCYmsnv3burXr8+YMWOYPXu2cd7R0ZFZs2YRFBREkyZNSE9P54svvsDC4v9+3URHR5OYmIi/vz/Lli3jgw8+oG7dugD861//YsyYMYwcOZKAgAC2bt1KVFRUiWKLiIjA0tKSunXr4u7uTkZGBs899xxPPPEEffr0oVmzZpw5c8ZstTDA0KFDqV27NkFBQbi7u5OcnIydnR3ffvstXl5ePPHEE/j5+TF48GAuXbqkFcMiIiIiIiLyQDMVFhYWlnYQIiLycDCZTKxZs4YePXqUdih3XXZ2Ns7OzmRlZSmJLCIiIiIiInddSb+HaoWwiIiIiIiIiIiIyENCCWERERERERERERGRh4QSwiIics8UFhbe83IRmzdvxmQycf78+Xs6r4iIiIiIiMj9SAlhERH5R2vZsiWZmZk4OzuXdigiIiIiIiIipa5MaQcgIiJyo8uXL2NlZXVHxrKysqJSpUp3ZCwRkQed98R1pR2C/MOlx3Yt7RBERETkNrRCWEREWL9+Pa1bt8bFxQU3Nze6devG8ePHgavJ2ZEjR+Lh4YGNjQ3VqlVj5syZRl+TycTbb79N586dsbW1xcfHh48//ths/AkTJlCrVi3s7Ozw8fEhKiqKvLw84/yUKVMICAhg8eLFVK9eHRsbm9vGdc3WrVsJCAjAxsaGoKAg1q5di8lkIjU1Fbi5ZERCQgIuLi5s2LABPz8/HBwc6NSpE5mZmWbjLl68GD8/P2xsbKhTpw4LFy68I/daREREREREpDQpISwiIly4cIGxY8eya9cukpKSsLCwoGfPnhQUFPDGG2/w6aef8uGHH3L48GFWrFiBt7e3Wf+oqCh69erFvn37CAsLo2/fvqSlpRnnHR0dSUhI4NChQ8yfP5+4uDhef/11szGOHTvGqlWrWL16tZHMvVVcANnZ2YSEhNCgQQP27NnD1KlTmTBhwm2v9+LFi8yZM4fly5fz7bffkpGRQUREhHF+xYoVTJ48menTp5OWlsaMGTOIiopi6dKlxY6Zm5tLdna22SYiIiIiIiJyv1HJCBERoVevXmb7S5Yswd3dnUOHDpGRkYGvry+tW7fGZDJRrVq1m/o/9dRTDBkyBICpU6eyceNG3nzzTWNV7csvv2y09fb2JiIigsTERMaPH28cv3z5MsuWLcPd3b1EcdWvX5/3338fk8lEXFwcNjY21K1bl59++omhQ4fe8nrz8vJ45513qFGjBgAjR44kJibGOP/KK68wd+5cnnjiCQCqV6/OoUOHePfddxkwYECRY86cOZPo6OhbzisiIiIiIiJS2rRCWEREOHr0KKGhofj4+ODk5GSsAM7IyGDgwIGkpqZSu3ZtRo0axVdffXVT/xYtWty0f/0K4ZUrV9KqVSsqVaqEg4MDL7/8MhkZGWZ9qlWrZpYMvl1cAIcPH8bf398oMQHQtGnT216vnZ2dkQwG8PDw4NSpU8DVVcnHjx9n8ODBODg4GNu0adNuKldxvcjISLKysozt5MmTt41DRERERERE5F7TCmERESEkJIRq1aoRFxdH5cqVKSgooH79+ly+fJlGjRrx448/8uWXX7Jp0yZ69+7NY489dlOd4OJs27aNsLAwoqOjCQ4OxtnZmcTERObOnWvWzt7e/k/F9XeULVvWbN9kMlFYWAhATk4OAHFxcTRr1sysnaWlZbFjWltbY21t/bfiEhEREREREbnblBAWEXnInTlzhsOHDxMXF0ebNm0A2LJli1kbJycn+vTpQ58+fXjyySfp1KkTZ8+epVy5cgBs376d/v37G+23b99OYGAgcPWlb9WqVWPSpEnG+RMnTtyRuGrXrs17771Hbm6ukYxNSUn5s7fATMWKFalcuTI//PADYWFhf2ssERERERERkfuNEsIiIg85V1dX3NzcWLRoER4eHmRkZDBx4kTj/GuvvYaHhweBgYFYWFjw0UcfUalSJVxcXIw2H330EUFBQbRu3ZoVK1awc+dO/vOf/wDg6+tLRkYGiYmJNGnShHXr1rFmzZq/HRfA008/zaRJkxg2bBgTJ04kIyODOXPmAFdX/f5V0dHRjBo1CmdnZzp16kRubi67du3i3LlzjB079i+PKyJS2tJju5Z2CCIiIiJSylRDWETkIWdhYUFiYiK7d++mfv36jBkzhtmzZxvnHR0dmTVrFkFBQTRp0oT09HS++OILLCz+71dIdHQ0iYmJ+Pv7s2zZMj744APq1q0LwL/+9S/GjBnDyJEjCQgIYOvWrURFRf3tuODqyuXPPvuM1NRUAgICmDRpEpMnTwYwqyv8Zw0ZMoTFixcTHx9PgwYNaNu2LQkJCVSvXv0vjykiIiIiIiJyPzAVXiuaKCIi8heYTCbWrFlDjx49SjsUAFasWMGzzz5LVlYWtra2pRZHdnY2zs7OZGVl4eTkVGpxiIiIiIiIyMOhpN9DVTJCREQeaMuWLcPHx4cqVaqwb98+JkyYQO/evUs1GSwiIiIiIiJyv1JCWEREHmi//PILkydP5pdffsHDw4OnnnqK6dOnl3ZYIiIiIiIiIvcllYwQEZEHSrt27QgICGDevHklap+enk716tXZu3cvAQEBdzW266lkhIiIiIiIiNxLKhkhIiL/SKtXr6Zs2bIlbu/p6UlmZibly5e/i1GJiIiIiIiIPBiUEBYRkftCXl5eiRK95cqV+1PjWlpaUqlSpb8aloiUkPfEdaUdgpRAemzX0g5BREREREqZRWkHICIi/0zr16+ndevWuLi44ObmRrdu3Th+/DhwtYyDyWRi5cqVtG3bFhsbG1asWMGVK1cYNWqU0WfChAkMGDCAHj16GOO2a9eO8PBwY9/b25sZM2YwaNAgHB0d8fLyYtGiRcb5a3OlpqYCsHnzZkwmE0lJSQQFBWFnZ0fLli05fPiwWfyffPIJjRo1wsbGBh8fH6Kjo7ly5cpdu18iIiIiIiIi94ISwiIicldcuHCBsWPHsmvXLpKSkrCwsKBnz54UFBQYbSZOnMjo0aNJS0sjODiYV199lRUrVhAfH09ycjLZ2dmsXbv2tnPNnTuXoKAg9u7dy4gRI3j++edvSvDeaNKkScydO5ddu3ZRpkwZBg0aZJz773//S//+/Rk9ejSHDh3i3XffJSEh4ZYvq8vNzSU7O9tsExEREREREbnfqGSEiIjcFb169TLbX7JkCe7u7hw6dAgHBwcAwsPDeeKJJ4w2b775JpGRkfTs2ROABQsW8MUXX9x2ri5dujBixAgAJkyYwOuvv87XX39N7dq1i+0zffp02rZtC1xNTHft2pVLly5hY2NDdHQ0EydOZMCAAQD4+PgwdepUxo8fzyuvvFLkeDNnziQ6Ovq2sYqIiIiIiIiUJq0QFhGRu+Lo0aOEhobi4+ODk5MT3t7eAGRkZBhtgoKCjM9ZWVn8+uuvNG3a1DhmaWlJ48aNbzuXv7+/8dlkMlGpUiVOnTpV4j4eHh4ARp99+/YRExODg4ODsQ0dOpTMzEwuXrxY5HiRkZFkZWUZ28mTJ28bt4iIiIiIiMi9phXCIiJyV4SEhFCtWjXi4uKoXLkyBQUF1K9fn8uXLxtt7O3t78hcN76MzmQymZWmuF0fk8kEYPTJyckhOjrabPXyNTY2NkWOZ21tjbW19Z+KW0REREREROReU0JYRETuuDNnznD48GHi4uJo06YNAFu2bLllH2dnZypWrEhKSgqPPPIIAPn5+ezZs4eAgIC7HbKZRo0acfjwYWrWrHlP5xV5kKXHdi3tEEREREREpASUEBYRkTvO1dUVNzc3Fi1ahIeHBxkZGUycOPG2/V588UVmzpxJzZo1qVOnDm+++Sbnzp0zVvDeK5MnT6Zbt254eXnx5JNPYmFhwb59+zh48CDTpk27p7GIiIiIiIiI3EmqISwiInechYUFiYmJ7N69m/r16zNmzBhmz559234TJkwgNDSU/v3706JFCxwcHAgODi62TMPdEhwczOeff85XX31FkyZNaN68Oa+//jrVqlW7p3GIiIiIiIiI3GmmwsLCwtIOQkREpCgFBQX4+fnRu3dvpk6dWtrh/CnZ2dk4OzuTlZWFk5NTaYcjIiIiIiIi/3Al/R6qkhEiInLfOHHiBF999RVt27YlNzeXBQsW8OOPP/L000+XdmgiIiIiIiIi/whKCIuIyF3Trl07AgICmDdvXona//TTTwwbNgwHBwdMJhP169dn06ZN+Pn53d1ARURERERERB4SSgiLiMhds3r1asqWLVvi9s2aNSMzM5Py5ctTpsyd+xXl7e1NeHg44eHhf6l/u3bt2Lx58x2LR0RERERERKS0KCEsIiJ/Wl5eXokSveXKlftT41paWlKpUqW/GtYd9fnnn1O5cmUaNWpkHEtMTKRRo0bUqlWrFCMrfd4T15V2CCLyF6XHdi3tEERERESklFmUdgAiIlL61q9fT+vWrXFxccHNzY1u3bpx/PhxANLT0zGZTKxcuZK2bdtiY2PDihUruHLlCqNGjTL6TJgwgQEDBtCjRw9j3Hbt2pmtyvX29mbGjBkMGjQIR0dHvLy8WLRokXH+2lypqakAbN68GZPJRFJSEkFBQdjZ2dGyZUsOHz5s9Dl+/Djdu3enYsWKODg40KRJEzZt2mQWw4kTJxgzZgwmkwmTyWSc27JlC23atMHW1hZPT09GjRrFhQsXAPDx8SEyMpJXXnmF8+fP07t3b77++mvKly9/J2+9iIiIiIiIyD2lhLCIiHDhwgXGjh3Lrl27SEpKwsLCgp49e1JQUGC0mThxIqNHjyYtLY3g4GBeffVVVqxYQXx8PMnJyWRnZ7N27drbzjV37lyCgoLYu3cvI0aM4PnnnzdL8BZl0qRJzJ07l127dlGmTBkGDRpknMvJyaFLly4kJSWxd+9eOnXqREhICBkZGcDVshVVq1YlJiaGzMxMMjMzgauJ5E6dOtGrVy/279/PypUr2bJlCyNHjgSgbt26bNiwgaNHj7Jv3z4ee+wx3n333T+96llERERERETkfqKSESIiQq9evcz2lyxZgru7O4cOHcLBwQGA8PBwnnjiCaPNm2++SWRkJD179gRgwYIFfPHFF7edq0uXLowYMQKACRMm8Prrr/P1119Tu3btYvtMnz6dtm3bAlcT0127duXSpUvY2NjQsGFDGjZsaLSdOnUqa9as4dNPP2XkyJGUK1cOS0tLHB0dzcpRzJw5k7CwMGMFs6+vL2+88QZt27bl7bff5sSJE4SHh9OkSRMaNmzIpk2bSE1NZfr06bi6ut4UY25uLrm5ucZ+dnb2be+FiIiIiIiIyL2mFcIiIsLRo0cJDQ3Fx8cHJycnvL29AYxVtgBBQUHG56ysLH799VeaNm1qHLO0tKRx48a3ncvf39/4bDKZqFSpEqdOnSpxHw8PDwCjT05ODhEREfj5+eHi4oKDgwNpaWlmsRdl3759JCQk4ODgYGzBwcEUFBTw448/cuTIEaZPn05MTAwuLi58+OGHtGnThtOnTxc53syZM3F2djY2T0/P294LERERERERkXtNK4RFRISQkBCqVatGXFwclStXpqCggPr163P58mWjjb29/R2Z68aX0ZlMJrPSFLfrc60G8LU+ERERbNy4kTlz5lCzZk1sbW158sknzWIvSk5ODs899xyjRo266ZyXlxd+fn43HQ8NDS12vMjISMaOHWvsZ2dnKyksIiIiIiIi9x0lhEVEHnJnzpzh8OHDxMXF0aZNG+Dqy9ZuxdnZmYoVK5KSksIjjzwCQH5+Pnv27CEgIOBuh2wmOTmZgQMHGqUrcnJySE9PN2tjZWVFfn6+2bFGjRpx6NAhataseds5Nm/efNs21tbWWFtblzhuERERERERkdKghLCIyEPO1dUVNzc3Fi1ahIeHBxkZGUycOPG2/V588UVmzpxJzZo1qVOnDm+++Sbnzp0zVvDeK76+vqxevZqQkBBMJhNRUVE3rTj29vbm22+/pW/fvlhbW1O+fHkmTJhA8+bNGTlyJEOGDMHe3p5Dhw6xceNGFixYcE+v4UGTHtu1tEMQERERERGRv0g1hEVEHnIWFhYkJiaye/du6tevz5gxY5g9e/Zt+02YMIHQ0FD69+9PixYtjBq8NjY29yDq//Paa6/h6upKy5YtCQkJITg4mEaNGpm1iYmJIT09nRo1auDu7g5crUv8zTffcOTIEdq0aUNgYCCTJ0+mcuXK9zR+ERERERERkXvJVFhYWFjaQYiIyIOvoKAAPz8/evfuzdSpU0s7nFKXnZ2Ns7MzWVlZODk5lXY4IiIiIiIi8g9X0u+hKhkhIiJ/yYkTJ/jqq69o27Ytubm5LFiwgB9//JGnn366tEMTERERERERkWKoZISIiPwlFhYWJCQk0KRJE1q1asWBAwfYtGkTfn5+pR2aiIiIiIiIiBRDCWERuS+lp6djMplITU0tcZ+EhARcXFzui1hKc9x7FYenpyfJyclkZWWRnZ3N1q1beeSRR+5ITO3atSM8PPyOjCUiIiIiIiIi/0cJYRGRh5ynpyeZmZnUr1+/tEMpFSaTibVr15Z2GCIiIiIiIiL3hGoIi4jcpwoLC8nPz6dMmbv7v2pLS0sqVap0V+e41/Lz8zGZTFhY6O+eIiLX8564rrRDeOikx3Yt7RBEREREzOibsoiUmvXr19O6dWtcXFxwc3OjW7duHD9+vMi2mzdvxmQysW7dOvz9/bGxsaF58+YcPHjwprYbNmzAz88PBwcHOnXqRGZmpnEuJSWFjh07Ur58eZydnWnbti179uwpUbw//PAD7du3x87OjoYNG7Jt2zYALly4gJOTEx9//LFZ+7Vr12Jvb8/vv/8OwM6dOwkMDMTGxoagoCD27t1b5DV++eWXNG7cGGtra7Zs2UJubi6jRo2iQoUK2NjY0Lp1a1JSUgC4dOkS9erVY9iwYcY4x48fx9HRkSVLlpQothtLRpw7d46wsDDc3d2xtbXF19eX+Ph4o++BAwd49NFHsbW1xc3NjWHDhpGTkwPAV199hY2NDefPnzebb/To0Tz66KMAnDlzhtDQUKpUqYKdnR0NGjTggw8+uOW9z83NJSIigipVqmBvb0+zZs3YvHmzcf5auZBPP/2UunXrYm1tTUZGxm2ft7e3NwA9e/bEZDIZ+wCffPIJjRo1wsbGBh8fH6Kjo7ly5cot4xQRERERERG53ykhLCKl5sKFC4wdO5Zdu3aRlJSEhYUFPXv2pKCgoNg+48aNY+7cuaSkpODu7k5ISAh5eXnG+YsXLzJnzhyWL1/Ot99+S0ZGBhEREcb533//nQEDBrBlyxa2b9+Or68vXbp0MZK2tzJp0iQiIiJITU2lVq1ahIaGcuXKFezt7enbt69Z0hQgPj6eJ598EkdHR3JycujWrRt169Zl9+7dTJkyxSyu602cOJHY2FjS0tLw9/dn/PjxrFq1iqVLl7Jnzx5q1qxJcHAwZ8+excbGhhUrVrB06VI++eQT8vPzeeaZZ+jYsSODBg0qUWw3ioqK4tChQ3z55ZekpaXx9ttvU758eeOZBQcH4+rqSkpKCh999BGbNm1i5MiRAHTo0AEXFxdWrVpljJefn8/KlSsJCwsDriaxGzduzLp16zh48CDDhg2jX79+7Ny5s9h7P3LkSLZt20ZiYiL79+/nqaeeolOnThw9etRoc/HiRV599VUWL17Md999R4UKFW77vK8l1uPj48nMzDT2//vf/9K/f39Gjx7NoUOHePfdd0lISGD69OnFxigiIiIiIiLyIFDJCBEpNb169TLbX7JkCe7u7hw6dAgHB4ci+7zyyit07NgRgKVLl1K1alXWrFlD7969AcjLy+Odd96hRo0awNVEYkxMjNH/2irVaxYtWoSLiwvffPMN3bp1u2W8ERERdO169Z99RkdHU69ePY4dO0adOnUYMmQILVu2JDMzEw8PD06dOsUXX3zBpk2bAHj//fcpKCjgP//5DzY2NtSrV4///e9/PP/88zfNExMTY1zjhQsXePvtt0lISKBz584AxMXFsXHjRv7zn/8wbtw4AgICmDZtGkOGDKFv376cOHGCzz//3BjvdrHdKCMjg8DAQIKCggDMVs2+//77XLp0iWXLlmFvbw/AggULCAkJ4dVXX6VixYr07duX999/n8GDBwOQlJTE+fPnjeddpUoVs2T4iy++yIYNG/jwww9p2rRpkfHEx8eTkZFB5cqVjWexfv164uPjmTFjBnD12S9cuJCGDRsafW/3vN3d3QFwcXExK5sRHR3NxIkTGTBgAAA+Pj5MnTqV8ePH88orrxR533Jzc8nNzTX2s7Ozi2wnIiIiIiIiUpq0QlhESs3Ro0cJDQ3Fx8cHJycnI/GYkZFRbJ8WLVoYn8uVK0ft2rVJS0szjtnZ2RnJYMBIgF7z66+/MnToUHx9fXF2dsbJyYmcnBxjzuHDh+Pg4GBs1/P39zcbFzDGbtq0KfXq1WPp0qUAvPfee1SrVo1HHnkEwFjta2NjU+S1XO9aIhauln/Iy8ujVatWxrGyZcvStGlTs+t+6aWXqFWrFgsWLGDJkiW4ubkZ524X242ef/55EhMTCQgIYPz48WzdutU4l5aWRsOGDY1kMECrVq0oKCjg8OHDAISFhbF582Z+/vlnAFasWEHXrl1xcXEBrq4Ynjp1Kg0aNKBcuXI4ODiwYcOGYp/7gQMHyM/Pp1atWmbP5ptvvjErMWJlZWX2jOD2z7s4+/btIyYmxmy+oUOHkpmZycWLF4vsM3PmTJydnY3N09PzlnOIiIiIiIiIlAYlhEWk1ISEhHD27Fni4uLYsWMHO3bsAODy5ct/ecyyZcua7ZtMJgoLC439AQMGkJqayvz589m6dSupqam4ubkZc8bExJCammpsxY1tMpkAzMpbDBkyhISEBOBqCYJnn33WaPdnXJ9sLalTp05x5MgRLC0tzcoo/JXYOnfuzIkTJxgzZgw///wzHTp0KLa8RVGaNGlCjRo1SExM5I8//mDNmjVGuQiA2bNnM3/+fCZMmMDXX39NamoqwcHBxT73nJwcLC0t2b17t9mzSUtLY/78+UY7W1vbm67pds+7ODk5OURHR5vNd+DAAY4ePWqW1L9eZGQkWVlZxnby5MmS3jIRERERERGRe0YJYREpFWfOnOHw4cO8/PLLdOjQAT8/P86dO3fbftu3bzc+nzt3jiNHjuDn51fieZOTkxk1ahRdunShXr16WFtb89tvvxnnK1SoQM2aNY3tz3jmmWc4ceIEb7zxBocOHTLKDQD4+fmxf/9+Ll26VOS1FKdGjRpYWVmRnJxsHMvLyyMlJYW6desaxwYNGkSDBg1YunQpEyZMMFs9fLvYiuLu7s6AAQN47733mDdvHosWLTKuY9++fVy4cMFom5ycjIWFBbVr1zaOhYWFsWLFCj777DMsLCyMUhvX2nfv3p1nnnmGhg0b4uPjw5EjR4qNJTAwkPz8fE6dOmX2bGrWrGlW5qEot3vecDXRn5+fb3asUaNGHD58+Kb5atasiYVF0b86ra2tcXJyMttERERERERE7jeqISwipcLV1RU3NzcWLVqEh4cHGRkZTJw48bb9YmJicHNzo2LFikyaNIny5cvTo0ePEs/r6+vL8uXLCQoKIjs7m3HjxmFra/s3ruT/uLq68sQTTzBu3Dgef/xxqlatapx7+umnmTRpEkOHDiUyMpL09HTmzJlz2zHt7e15/vnnGTduHOXKlcPLy4tZs2Zx8eJFo0bvW2+9xbZt29i/fz+enp6sW7eOsLAwtm/fjpWV1W1ju9HkyZNp3Lgx9erVIzc3l88//9xIuoeFhfHKK68wYMAApkyZwunTp3nxxRfp168fFStWNMYICwtjypQpTJ8+nSeffBJra2vjnK+vLx9//DFbt27F1dWV1157jV9//dUswX29WrVqERYWRv/+/Zk7dy6BgYGcPn2apKQk/P39zZLNNyrJ8/b29iYpKYlWrVphbW2Nq6srkydPplu3bnh5efHkk09iYWHBvn37OHjwINOmTbvNUxMRuX+lxxb//0wREREReThohbCIlAoLCwsSExPZvXs39evXZ8yYMcyePfu2/WJjYxk9ejSNGzfml19+4bPPPjOSniXxn//8h3PnztGoUSP69evHqFGjqFChwt+5FDODBw/m8uXLDBo0yOy4g4MDn332GQcOHCAwMJBJkybx6quvlmjM2NhYevXqRb9+/WjUqBHHjh1jw4YNuLq68v333zNu3DgWLlxo1KxduHAhv/32G1FRUSWK7UZWVlZERkbi7+/PI488gqWlJYmJicDVGs0bNmzg7NmzNGnShCeffJIOHTqwYMECszFq1qxJ06ZN2b9/v1m5CICXX36ZRo0aERwcTLt27ahUqdJtk/rx8fH079+fl156idq1a9OjRw9SUlLw8vK6Zb+SPO+5c+eyceNGPD09CQwMBCA4OJjPP/+cr776iiZNmtC8eXNef/11qlWrdsv5RERERERERO53psLri2uKiNynNm/eTPv27Tl37pzxcrL70fLly43au38mUX0v3M+x/RNlZ2fj7OxMVlaWykeIiIiIiIjIXVfS76EqGSEicgdcvHiRzMxMYmNjee655+6rhOv9HJuIiIiIiIiI3FsqGSEicgfMmjWLOnXqUKlSJSIjI0s7HDP3c2wiIiIiIiIicm8pISwi94X09HRMJhOpqalFnm/Xrh2FhYVm5SISEhLuSvmI28VSlClTppCXl0dSUhIODg53bNw74cbYSisOERERERERESl9SgiLiDxkPD09yczMpH79+qUdyn3B29ubefPmlXYYIiIiIiIiIveEagiLiNwnCgsLyc/Pp0yZu/u/ZktLSypVqnRX57jbLl++rFrIIiJ/gffEdaUdwn0vPbZraYcgIiIicldphbCI3DPr16+ndevWuLi44ObmRrdu3Th+/HiRbTdv3ozJZGLdunX4+/tjY2ND8+bNOXjw4E1tN2zYgJ+fHw4ODnTq1InMzEzjXEpKCh07dqR8+fI4OzvTtm1b9uzZU6J4f/jhB9q3b4+dnR0NGzZk27ZtAFy4cAEnJyc+/vhjs/Zr167F3t6e33//HYCdO3cSGBiIjY0NQUFB7N27t8hr/PLLL2ncuDHW1tZs2bKF3NxcRo0aRYUKFbCxsaF169akpKQAcOnSJerVq8ewYcOMcY4fP46joyNLliwpUWw3low4d+4cYWFhuLu7Y2tri6+vL/Hx8UbfAwcO8Oijj2Jra4ubmxvDhg0jJyfHbPwlS5ZQr149rK2t8fDwYOTIkca51157jQYNGmBvb4+npycjRoww63+t9MfatWvx9fXFxsaG4OBgTp48abSZMmUKAQEBLF68mOrVq2NjYwNARkYG3bt3x8HBAScnJ3r37s2vv/5qdm+6d+9OxYoVcXBwoEmTJmzatMk4365dO06cOMGYMWMwmUyYTCbj3JYtW2jTpg22trZ4enoyatQoLly4gIiIiIiIiMiDTAlhEblnLly4wNixY9m1axdJSUlYWFjQs2dPCgoKiu0zbtw45s6dS0pKCu7u7oSEhJCXl2ecv3jxInPmzGH58uV8++23ZGRkEBERYZz//fffGTBgAFu2bGH79u34+vrSpUsXI2l7K5MmTSIiIoLU1FRq1apFaGgoV65cwd7enr59+5olTQHi4+N58skncXR0JCcnh27dulG3bl12797NlClTzOK63sSJE4mNjSUtLQ1/f3/Gjx/PqlWrWLp0KXv27KFmzZoEBwdz9uxZbGxsWLFiBUuXLuWTTz4hPz+fZ555ho4dOzJo0KASxXajqKgoDh06xJdffklaWhpvv/025cuXN55ZcHAwrq6upKSk8NFHH7Fp0yazhO/bb7/NCy+8wLBhwzhw4ACffvopNWvWNM5bWFjwxhtv8N1337F06VL+3//7f4wfP94shosXLzJ9+nSWLVtGcnIy58+fp2/fvmZtjh07xqpVq1i9ejWpqakUFBTQvXt3zp49yzfffMPGjRv54Ycf6NOnj9EnJyeHLl26kJSUxN69e+nUqRMhISFkZGQAsHr1aqpWrUpMTAyZmZnGHxOOHz9Op06d6NWrF/v372flypVs2bLF7LpFREREREREHkSmwsLCwtIOQkQeTr/99hvu7u4cOHAABwcHqlevzt69ewkICGDz5s20b9+exMREI8F39uxZqlatSkJCAr179yYhIYFnn32WY8eOUaNGDQAWLlxITEwMv/zyS5FzFhQU4OLiwvvvv0+3bt2KbJOenk716tVZvHgxgwcPBuDQoUPUq1ePtLQ06tSpw86dO2nZsiUnT57Ew8ODU6dOUaVKFTZt2kTbtm1ZtGgR//73v/nf//5nrGZ95513eP7552+6xrVr19K9e3fgagLW1dWVhIQEnn76aQDy8vLw9vYmPDyccePGATB79mxmzZpF3759WbVqFQcOHMDNzQ3gtrFdu75rcfzrX/+ifPnyLFmy5KZ7ERcXx4QJEzh58iT29vYAfPHFF4SEhPDzzz9TsWJFqlSpwrPPPsu0adNK9Nw//vhjhg8fzm+//QZgPMft27fTrFkzAL7//nv8/PzYsWMHTZs2ZcqUKcyYMYOffvoJd3d3ADZu3Ejnzp358ccf8fT0NHtOO3fupEmTJkXOX79+fYYPH24kd6/d2/DwcKPNkCFDsLS05N133zWObdmyhbZt23LhwgXjmV4vNzeX3NxcYz87OxtPT0+ysrJwcnIq0b0REbnbVDLi9lQyQkRERB5U2dnZODs73/Z7qFYIi8g9c/ToUUJDQ/Hx8cHJyQlvb28AY7VmUVq0aGF8LleuHLVr1yYtLc04ZmdnZySDASMBes2vv/7K0KFD8fX1xdnZGScnJ3Jycow5hw8fjoODg7Fdz9/f32xcwBi7adOm1KtXj6VLlwLw3nvvUa1aNR555BEAY7Xv9YnD66/lekFBQcbn48ePk5eXR6tWrYxjZcuWpWnTpmbX/dJLL1GrVi0WLFjAkiVLjGRwSWK70fPPP09iYiIBAQGMHz+erVu3GufS0tJo2LChkQwGaNWqFQUFBRw+fJhTp07x888/06FDhyLHBti0aRMdOnSgSpUqODo60q9fP86cOcPFixeNNmXKlDFL4NapUwcXFxeza65WrZqRDL4Wm6enp5EMBqhbt65Zv5ycHCIiIvDz88PFxQUHBwfS0tJu+TMHsG/fPhISEsx+NoKDgykoKODHH38sss/MmTNxdnY2tuvjEhEREREREblfKCEsIvdMSEgIZ8+eJS4ujh07drBjxw7g6gvC/qqyZcua7ZtMJq7/hw8DBgwgNTWV+fPns3XrVlJTU3FzczPmjImJITU11diKG/tabdnry1sMGTKEhIQE4GpJhmeffdasBm1JXZ9sLalTp05x5MgRLC0tOXr06E3n/0xsnTt3NuroXkvuFlfe4ka2tra3PJ+enk63bt3w9/dn1apV7N69m7feegv488/9r9yniIgI1qxZw4wZM/jvf/9LamoqDRo0uO3cOTk5PPfcc2Y/G/v27ePo0aNmf4C4XmRkJFlZWcZ2fQ1kERERERERkfuFEsIick+cOXOGw4cP8/LLL9OhQwf8/Pw4d+7cbftt377d+Hzu3DmOHDmCn59fiedNTk5m1KhRdOnSxXjp2bVSBQAVKlSgZs2axvZnPPPMM5w4cYI33niDQ4cOMWDAAOOcn58f+/fv59KlS0VeS3Fq1KiBlZUVycnJxrG8vDxSUlKoW7eucWzQoEE0aNCApUuXMmHCBLOVtLeLrSju7u4MGDCA9957j3nz5rFo0SLjOvbt22f2MrXk5GQsLCyoXbs2jo6OeHt7k5SUVOS4u3fvpqCggLlz59K8eXNq1arFzz//fFO7K1eusGvXLmP/8OHDnD9//pbP2s/Pj5MnT5olXg8dOsT58+eNe5WcnMzAgQPp2bMnDRo0oFKlSqSnp5uNY2VlRX5+vtmxRo0acejQIbOfjWublZVVkfFYW1vj5ORktomIiIiIiIjcb8qUdgAi8nBwdXXFzc2NRYsW4eHhQUZGBhMnTrxtv5iYGNzc3KhYsSKTJk2ifPny9OjRo8Tz+vr6snz5coKCgsjOzmbcuHG3XdVaUq6urjzxxBOMGzeOxx9/nKpVqxrnnn76aSZNmsTQoUOJjIwkPT2dOXPm3HZMe3t7nn/+ecaNG0e5cuXw8vJi1qxZXLx40ahn/NZbb7Ft2zb279+Pp6cn69atIywsjO3btxvJylvFdqPJkyfTuHFj6tWrR25uLp9//rmRiA0LC+OVV15hwIABTJkyhdOnT/Piiy/Sr18/KlasCMCUKVMYPnw4FSpUoHPnzvz+++8kJyfz4osvUrNmTfLy8njzzTcJCQkhOTmZd95556YYypYty4svvsgbb7xBmTJlGDlyJM2bN6dp06bFxv3YY4/RoEEDwsLCmDdvHleuXGHEiBG0bdvWKMPh6+vL6tWrCQkJwWQyERUVddNLDL29vfn222/p27cv1tbWlC9fngkTJtC8eXNGjhzJkCFDsLe359ChQ2zcuJEFCxbc9jmKiNyvVB9XRERERLRCWETuCQsLCxITE9m9ezf169dnzJgxzJ49+7b9YmNjGT16NI0bN+aXX37hs88+K3aFZlH+85//cO7cORo1akS/fv0YNWoUFSpU+DuXYmbw4MFcvnyZQYMGmR13cHDgs88+48CBAwQGBjJp0iReffXVEo0ZGxtLr1696NevH40aNeLYsWNs2LABV1dXvv/+e8aNG8fChQuNGrULFy7kt99+IyoqqkSx3cjKyorIyEj8/f155JFHsLS0JDExEbhao3nDhg2cPXuWJk2a8OSTT9KhQwezpOiAAQOYN28eCxcupF69enTr1s0oY9GwYUNee+01Xn31VerXr8+KFSuYOXPmTTHY2dkxYcIEnn76aVq1aoWDgwMrV668Zdwmk4lPPvkEV1dXHnnkER577DF8fHzM+r322mu4urrSsmVLQkJCCA4OplGjRmbjxMTEkJ6eTo0aNYwaxf7+/nzzzTccOXKENm3aEBgYyOTJk6lcufItYxIRERERERG535kKry+2KSJyn9i8eTPt27fn3LlzuLi4lHY4xVq+fLlRe/fPJKrvhfs5tuslJCQQHh7O+fPnSzuUO6qkb3cVERERERERuRNK+j1UJSNERP6CixcvkpmZSWxsLM8999x9lXC9n2MTERERERERkdKlkhEiIn/BrFmzqFOnDpUqVSIyMrK0wzFzP8cmIiIiIiIiIqVLJSNEROS+kZ6eTvXq1dm7dy8BAQF3bFxvb2/Cw8MJDw+/Y2PejkpGiIiIiIiIyL2kkhEiIiL/v5SUFOzt7Us7DBEREREREZFSp4SwiIj847m7u5d2CCIi9wXvietKO4Q/LT22a2mHICIiIvKPohrCIiJyT61fv57WrVvj4uKCm5sb3bp14/jx40W2zc/PZ/DgwVSvXh1bW1tq167N/PnzzdoMHDiQHj16MGfOHDw8PHBzc+OFF14gLy/PaOPt7c28efOMfZPJxOLFi+nZsyd2dnb4+vry6aefmo178OBBOnfujIODAxUrVqRfv3789ttvd+5GiIiIiIiIiJQCJYRFROSeunDhAmPHjmXXrl0kJSVhYWFBz549KSgouKltQUEBVatW5aOPPuLQoUNMnjyZf//733z44Ydm7b7++muOHz/O119/zdKlS0lISCAhIeGWcURHR9O7d2/2799Ply5dCAsL4+zZswCcP3+eRx99lMDAQHbt2sX69ev59ddf6d27d7Hj5ebmkp2dbbaJiIiIiIiI3G9UMkJERO6pXr16me0vWbIEd3d3Dh06hIODg9m5smXLEh0dbexXr16dbdu28eGHH5olZ11dXVmwYAGWlpbUqVOHrl27kpSUxNChQ4uNY+DAgYSGhgIwY8YM3njjDXbu3EmnTp1YsGABgYGBzJgxwyxOT09Pjhw5Qq1atW4ab+bMmWaxioiIiIiIiNyPtEJYRETuqaNHjxIaGoqPjw9OTk54e3sDkJGRUWT7t956i8aNG+Pu7o6DgwOLFi26qW29evWwtLQ09j08PDh16tQt4/D39zc+29vb4+TkZPTZt28fX3/9NQ4ODsZWp04dgGLLW0RGRpKVlWVsJ0+evPWNEBERERERESkFWiEsIiL3VEhICNWqVSMuLo7KlStTUFBA/fr1uXz58k1tExMTiYiIYO7cubRo0QJHR0dmz57Njh07zNqVLVvWbN9kMhVZgqKkfXJycggJCeHVV1+9qZ+Hh0eR41lbW2NtbX3LOUVERERERERKmxLCIiJyz5w5c4bDhw8TFxdHmzZtANiyZUux7ZOTk2nZsiUjRowwjhW3QvdOatSoEatWrcLb25syZfSrUkRERERERP459C1XRETuGVdXV9zc3Fi0aBEeHh5kZGQwceLEYtv7+vqybNkyNmzYQPXq1Vm+fDkpKSlUr179rsb5wgsvEBcXR2hoKOPHj6dcuXIcO3aMxMREFi9ebFaeQkTkQZIe27W0QxARERGRUqYawiIics9YWFiQmJjI7t27qV+/PmPGjGH27NnFtn/uued44okn6NOnD82aNePMmTNmq4XvlsqVK5OcnEx+fj6PP/44DRo0IDw8HBcXFyws9KtTREREREREHlymwsLCwtIOQkRE5J8mOzsbZ2dnsrKycHJyKu1wRERERERE5B+upN9DtcxJRERERERERERE5CGhhLCIiIiIiIiIiIjIQ0IJYRF54CQkJODi4nLfzDVlyhQCAgKM/YEDB9KjR4+7Gtf9yGQysXbt2lKN4cZnISIiIiIiIiLmlBAWeYj99NNPPPPMM7i5uWFra0uDBg3YtWtXaYd1W3369OHIkSP37Vzz588nISHh7gR0nbi4ONq0aYOrqyuurq489thj7Ny5867P+09zPySyRURERERERO6VMqUdgIiUjnPnztGqVSvat2/Pl19+ibu7O0ePHsXV1bW0Q7stW1tbbG1t7/o8eXl5f2kuZ2fnuxSRuc2bNxMaGkrLli2xsbHh1Vdf5fHHH+e7776jSpUq9yQGgMuXL2NlZXXP5hMRkb/Oe+K60g5BgPTYrqUdgoiIiDzEtEJY5CH16quv4unpSXx8PE2bNqV69eo8/vjj1KhR45b9cnNzGTVqFBUqVMDGxobWrVuTkpICwKVLl6hXrx7Dhg0z2h8/fhxHR0eWLFly2/5wNclpMplYt24d/v7+2NjY0Lx5cw4ePGi0ubGMw7UyAe+++y6enp7Y2dnRu3dvsrKyzGJfvHgxfn5+2NjYUKdOHRYuXGicS09Px2QysXLlStq2bYuNjQ0rVqwosmREbGwsFStWxNHRkcGDB3Pp0iWz8zeWjGjXrh2jRo1i/PjxlCtXjkqVKjFlyhSzPufPn2fIkCG4u7vj5OTEo48+yr59+275LFasWMGIESMICAigTp06LF68mIKCApKSkm7Z7/z58zz33HNUrFgRGxsb6tevz+effw7AmTNnCA0NpUqVKtjZ2dGgQQM++OADs/7t2rVj5MiRhIeHU758eYKDg41zmZmZdO7cGVtbW3x8fPj444/N+h44cIBHH30UW1tb3NzcGDZsGDk5OcDVZ29lZcV///tfo/2sWbOoUKECv/76K8uWLcPNzY3c3FyzMXv06EG/fv2KvNaUlBQ6duxI+fLlcXZ2pm3btuzZs8c47+3tDUDPnj0xmUzGPsAnn3xCo0aNsLGxwcfHh+joaK5cuXLLeysiIiIiIiJyv1NCWOQh9emnnxIUFMRTTz1FhQoVCAwMJC4u7rb9xo8fz6pVq1i6dCl79uyhZs2aBAcHc/bsWSOJunTpUj755BPy8/N55pln6NixI4MGDbpt/+uNGzeOuXPnkpKSgru7OyEhIeTl5RUb17Fjx/jwww/57LPPWL9+PXv37mXEiBHG+RUrVjB58mSmT59OWloaM2bMICoqiqVLl5qNM3HiREaPHk1aWppZovOaDz/8kClTpjBjxgx27dqFh4eHWWK5OEuXLsXe3p4dO3Ywa9YsYmJi2Lhxo3H+qaee4tSpU3z55Zfs3r2bRo0a0aFDh5vuy61cvHiRvLw8ypUrV2ybgoICOnfuTHJyMu+99x6HDh0iNjYWS0tL4GpSv3Hjxqxbt46DBw8ybNgw+vXrd1MpiqVLl2JlZUVycjLvvPOOcTwqKopevXqxb98+wsLC6Nu3L2lpaQBcuHCB4OBgXF1dSUlJ4aOPPmLTpk2MHDkSuJpoDg8Pp1+/fmRlZbF3716ioqJYvHgxFStW5KmnniI/P59PP/3UmO/UqVOsW7fO+Pm60e+//86AAQPYsmUL27dvx9fXly5duvD7778DGH+MiI+PJzMz09j/73//S//+/Rk9ejSHDh3i3XffJSEhgenTpxd7b3Nzc8nOzjbbRERERERERO43psLCwsLSDkJE7j0bGxsAxo4dy1NPPUVKSgqjR4/mnXfeYcCAAUX2uXDhAq6uriQkJPD0008DV8sqeHt7Ex4ezrhx4wCYPXs2s2bNom/fvqxatYoDBw7g5uZWov6bN2+mffv2JCYm0qdPHwDOnj1L1apVSUhIoHfv3iQkJBAeHs758+eBqyuEp02bxokTJ4xSCevXr6dr16789NNPVKpUiZo1azJ16lRCQ0ON65k2bRpffPEFW7duJT09nerVqzNv3jxGjx5ttLlxrpYtWxIYGMhbb71ltGnevDmXLl0iNTUVuLpC+Pz580Zd2nbt2pGfn2+28rVp06Y8+uijxMbGsmXLFrp27cqpU6ewtrY22tSsWZPx48ebrbi+lREjRrBhwwa+++474/ne6KuvvqJz586kpaVRq1atEo3brVs36tSpw5w5c4zryc7ONltpC1dr8Q4fPpy3337bONa8eXMaNWrEwoULiYuLY8KECZw8eRJ7e3sAvvjiC0JCQvj555+pWLEily9fplmzZtSqVYuDBw/SqlUrFi1aZHaN6enpfPHFFwC89tprvPXWWxw7dgyTycSUKVNYu3at8SxuVFBQgIuLC++//z7dunUz4l6zZo3Zqu7HHnuMDh06EBkZaRx77733GD9+PD///HORY0+ZMoXo6OibjmdlZeHk5FTc7RURuadUMuL+oJIRIiIicjdkZ2fj7Ox82++hWiEs8pAqKCigUaNGzJgxg8DAQIYNG8bQoUON1Z4zZszAwcHB2DIyMjh+/Dh5eXm0atXKGKds2bI0bdrUWAUK8NJLL1GrVi0WLFjAkiVLcHNzAyhxf4AWLVoYn8uVK0ft2rVvanM9Ly8vs7q5LVq0oKCggMOHD3PhwgWOHz/O4MGDza5p2rRpHD9+3GycoKCgW963tLQ0mjVrVmysxfH39zfb9/Dw4NSpUwDs27ePnJwc3NzczOL78ccfOX78OBkZGWbHZ8yYcdP4sbGxJCYmsmbNGiMZXNQzTE1NpWrVqsUmg/Pz85k6dSoNGjSgXLlyODg4sGHDBjIyMszaNW7cuMj+N96LFi1aGM8tLS2Nhg0bGslggFatWhnPCcDKyooVK1awatUqLl26xOuvv2423tChQ/nqq6/46aefgKsJ+4EDB2IymYqM59dff2Xo0KH4+vri7OyMk5MTOTk5N13Pjfbt20dMTIzZ/Rs6dCiZmZlcvHixyD6RkZFkZWUZ28mTJ285h4iIiIiIiEhp0EvlRB5SHh4e1K1b1+yYn58fq1atAmD48OH07t3bOFe5cmVjleztnDp1iiNHjmBpacnRo0fp1KnTHYv7r7hWozYuLu6mZO61UgnXXJ+svJPKli1rtm8ymSgoKDDi8/DwYPPmzTf1c3FxwcXFxWzF640lIebMmUNsbCybNm0ySzwX9Qxv94K82bNnM3/+fObNm0eDBg2wt7cnPDycy5cvm7W7W/cJYOvWrcDVleFnz541myswMJCGDRuybNky4wV669YVv9ptwIABnDlzhvnz51OtWjWsra1p0aLFTddzo5ycHKKjo3niiSduOlfc6mtra2uzFd4iIiIiIiIi9yMlhEUeUq1atTJWZV5z5MgRqlWrBlxNOt6YeKxRo4ZRN/Zau7y8PFJSUggPDzfaDRo0iAYNGjB48GCGDh3KY489hp+fX4n7A2zfvh0vLy8Azp07x5EjR/Dz8yv2ejIyMvj555+pXLmy0d/CwoLatWtTsWJFKleuzA8//EBYWNifv1nX8fPzY8eOHfTv398s1r+jUaNG/PLLL5QpU8bspWbXq1mzZpHHZ82axfTp09mwYcNNq5uLeob+/v7873//48iRI0WuEk5OTqZ79+4888wzwNWV5EeOHLnpjwfF2b59+033JjAwELh67xISErhw4YKR5E1OTjaeE1xdRT5mzBji4uJYuXIlAwYMYNOmTVhY/N8/aBkyZAjz5s3jp59+4rHHHsPT07PYeJKTk1m4cCFdunQB4OTJk/z2229mbcqWLUt+fr7ZsUaNGnH48OFi77uIiIiIiIjIg0oJYZGH1JgxY2jZsiUzZsygd+/e7Ny5k0WLFpnVa72Rvb09zz//POPGjaNcuXJ4eXkxa9YsLl68yODBgwF466232LZtG/v378fT05N169YRFhbG9u3bS9T/mpiYGNzc3KhYsSKTJk2ifPnyZjVeb2RjY8OAAQOYM2cO2dnZjBo1it7/H3v3Htfz/T/+//ZSOh9FKUWhkxQRFiMbllMLs0ijow3zdlpOn4nKqRkmM94OU7EstmE2p+EtI0woh5VTlmzLmEPEJNX3D7+ePy+dNxPb/Xq5PC+X1+v5fDzuz/vz8XLh0r2H+8vPj4YNGwIQFRXFmDFjMDY2pmfPnhQUFHD06FFu3rzJhAkTqr1uY8eOJSgoCA8PDzp16kRiYiI//vgjTZs2rXaMJ3Xv3h1PT0/69evHvHnzcHBw4Ndff2Xr1q3079+/wjYWH3zwAdOnT2fdunXY2tpy5coVAKXFQXm8vLzo0qULb7zxBgsXLqR58+acOXMGlUpFz549sbe358svv+TgwYOYmpqycOFCfvvtt2oXhL/44gs8PDx4+eWXSUxM5MiRI3z66acABAQEMGPGDAIDA4mMjOTatWv85z//YejQoVhYWChfQujt7U1wcDA9e/bE1dWVBQsWKP2pAYYMGUJ4eDgrV65kzZo1leZjb2/P2rVr8fDw4Pbt20ycOLHMLmlbW1v27NlDp06d0NbWxtTUlOnTp9O3b18aN27MwIEDqVOnDidOnOD06dPMmjWrWmshhBDPI+ldK4QQQgghpIewEP9S7dq1Y9OmTXz++ee0bNmSmTNnsmjRoip30MbExPDGG28wdOhQ2rRpw4ULF9i5cyempqacOXOGiRMnsnTpUmXX5tKlS/n999+JiIiocv6T9xk7dixt27blypUrfPPNN2hpaVWYV/PmzRkwYAC9e/fmtddew83NjaVLlyrXw8LCWLVqFXFxcbi6uuLl5UV8fDx2dnY1WrdBgwYRERHBpEmTaNu2LZcuXWLkyJE1ivEklUrFtm3b6NKlC8HBwTg4ODB48GAuXbqEhYVFhfOWLVvGgwcPGDhwIJaWlspR+uVvFfnqq69o164d/v7+tGjRgkmTJik7ZKdNm0abNm3w9vama9euNGzYsNJC/JOioqJISkrCzc2NNWvW8PnnnyvFZD09PXbu3MmNGzdo164dAwcOpFu3bixZsgSA2bNnc+nSJZYvXw48amuyYsUKpk2bxokTJ5R7GBsb88Ybb2BgYFBlbp9++ik3b96kTZs2DB06lDFjxmBubq42ZsGCBezatQsbGxtlN7O3tzfffvst3333He3ateOll17io48+Una2CyGEEEIIIYQQLypVSUlJSW0nIYQQpZKTk3nllVe4efMmJiYm1ZoTGRnJ5s2b1frsin+2bt264eLiwuLFi2s7lQpV99tdhRBCCCGEEEKIp6G6P4dKywghhBAvjJs3b5KcnExycrLaDnAhhBBCCCGEEEJUjxSEhRBCvDDc3d25efMmH3zwgfJFdEIIIYQQQgghhKg+aRkhhBDiH+XJFiJBQUHcunWLzZs3P9M8pGWEEEIIIYQQQohnqbo/h8qXygkhxD9cZGQkKpVK7XBycqrttJ6Z2NhY4uPjazsNIYQQQgghhBDiuSAtI4QQ4l/AxcWF3bt3K+81NV+8v/4fPHiAlpZWjecZGxv/DdkIIcSLyXbK1tpOQVRTdkyf2k5BCCGEEP9QskNYCCH+BTQ1NWnYsKFy1K9fv9LxN2/eZNiwYZiamqKnp0evXr04f/48ANeuXaNhw4bMmTNHGX/w4EG0tLTYs2dPlfMB4uPjMTExYfPmzdjb26Ojo4O3tzeXL19WxkRGRtK6dWtWrVqFnZ0dOjo6AOTk5ODr64uBgQFGRkb4+fnx22+/VfgsQUFB9OvXT3nftWtXxowZw6RJk6hXrx4NGzYkMjJSbc6tW7cICwujQYMGGBkZ8eqrr3LixInKF1kIIYQQQgghhHgBSEFYCCH+Bc6fP4+VlRVNmzYlICCAnJycSscHBQVx9OhRtmzZwqFDhygpKaF3794UFhbSoEEDVq9eTWRkJEePHuXOnTsMHTqU0aNH061btyrnl7p37x6zZ89mzZo1pKSkcOvWLQYPHqyWx4ULF/jqq6/YuHEj6enpFBcX4+vry40bN9i3bx+7du3i4sWLDBo0qEbrkZCQgL6+Pj/88APz5s0jOjqaXbt2KdfffPNNrl69yvbt2zl27Bht2rShW7du3Lhxo8KYBQUF3L59W+0QQgghhBBCCCGeNy/e/xkWQghRIx06dCA+Ph5HR0dyc3OJioqic+fOnD59GkNDwzLjz58/z5YtW0hJSaFjx44AJCYmYmNjw+bNm3nzzTfp3bs3w4cPJyAgAA8PD/T19Zk7d2615wMUFhayZMkSOnToADwq0jo7O3PkyBHat28PPGoTsWbNGho0aADArl27OHXqFD/99BM2NjYArFmzBhcXF1JTU2nXrl211sTNzY0ZM2YAYG9vz5IlS9izZw89evTgwIEDHDlyhKtXr6KtrQ3A/Pnz2bx5M19++SVvv/12uTHnzp1LVFRUte4vhBBCCCGEEELUFikICyHEP1yvXr2U125ubnTo0IEmTZqwYcMGUlNT+eyzz5Tr+fn5ZGZmoqmpqRRqAczMzHB0dCQzM1M5N3/+fFq2bMkXX3zBsWPHlOJpdedramqqFXCdnJwwMTEhMzNTKQg3adJEKQaXxraxsVGKwQAtWrRQ5tWkIPw4S0tLrl69CsCJEyfIz8/HzMxMbcwff/xBVlZWhTGnTp3KhAkTlPe3b99Wy1MIIYQQQgghhHgeSEFYCCH+ZUxMTHBwcODChQtER0cTHh7+p+JkZWXx66+/UlxcTHZ2Nq6urk85U9DX13/qMQHq1q2r9l6lUlFcXAw8KopbWlqSnJxcZp6JiUmFMbW1tZWiuBBCCCGEEEII8bySHsJCCPEvk5+fT1ZWFpaWlpibm9O8eXPlAHB2dubhw4f88MMPypzr169z9uxZWrRoATxq5fDWW28xaNAgZs6cSVhYmLLDtjrzAR4+fMjRo0eV92fPnuXWrVs4OztXmLuzszOXL19W+/K5jIwMbt26pRb7r2jTpg1XrlxBU1NTbW2aN29e5ZfxCSGEEEIIIYQQzzvZISyEEP9w4eHh+Pj40KRJE3799VdmzJiBhoYG/v7+5Y63t7fH19eX4cOHs3z5cgwNDZkyZQqNGjXC19cXgPfff5+8vDwWL16MgYEB27ZtIyQkhG+//bZa8+HRLt3//Oc/LF68GE1NTUaPHs1LL72ktIsoT/fu3XF1dSUgIIBFixbx8OFDRo0ahZeXFx4eHk9lvbp3746npyf9+vVj3rx5ODg48Ouvv7J161b69+//1O4jhBC1ITumT22nIIQQQgghapnsEBZCiH+4n3/+GX9/fxwdHfHz88PMzIzDhw+r9eZ9UlxcHG3btqVv3754enpSUlLCtm3bqFu3LsnJySxatIi1a9diZGREnTp1WLt2Lfv372fZsmVVzi+lp6fH5MmTGTJkCJ06dcLAwID169dX+iwqlYqvv/4aU1NTunTpQvfu3WnatGmV82pCpVKxbds2unTpQnBwMA4ODgwePJhLly5hYWHx1O4jhBBCCCGEEELUBlVJSUlJbSchhBDi3yU+Pp5x48Zx69at2k7lb3P79m2MjY3Jy8vDyMiottMRQgghhBBCCPEPV92fQ2WHsBBCCCGEEEIIIYQQQvxLSEFYCCGEEEIIIYQQQggh/iWkICyEeKEEBQXRr1+/vz1GcnIyKpWq0pYGkZGRtG7d+i/lUh3P6j410bVrV8aNG/en5wcFBVW7XURERARvv/32n77X0/DSSy/x1Vdf1WoOQgghhBBCCCHE0yAFYSGEIjIyEpVKpXY4OTnVSi7Z2dmoVCrS09P/9nv92eJmeHg4e/bsefoJvQA2btzIzJkz//b7XLlyhdjYWN5//33lXFBQECqVihEjRpQZ/+6776JSqQgKCgIo8+f5ySMyMlKZ6+TkhLa2NleuXCkTd9q0aUyZMoXi4uKn/oxCCCGEEEIIIcSzpFnbCQghni8uLi7s3r1bea+pKX9NVMTAwAADA4PaTqNW1KtX75ncZ9WqVXTs2JEmTZqonbexsSEpKYmPPvoIXV1dAO7fv8+6deto3LixMi43N1d5vX79eqZPn87Zs2eVc6Wf34EDB/jjjz8YOHAgCQkJTJ48We1+vXr1IiwsjO3bt9OnT5+n/pxCCPGs2E7ZWtspiH+Q7Bj5N1EIIYR4EckOYSGEGk1NTRo2bKgc9evXr3R86U7eDRs20LlzZ3R1dWnXrh3nzp0jNTUVDw8PDAwM6NWrF9euXVObu2rVKpydndHR0cHJyYmlS5cq1+zs7ABwd3dHpVLRtWtXtbnz58/H0tISMzMz3n33XQoLCwGIjo6mZcuWZfJs3bo1ERERZc4HBQWxb98+YmNjlV2j2dnZyvVjx47h4eGBnp4eHTt2VCsmPtnKobi4mOjoaKytrdHW1qZ169bs2LFD7X6TJ0/GwcEBPT09mjZtSkREhJJ7qZiYGCwsLDA0NCQ0NJT79++XybuytSv9TDZu3Mgrr7yCnp4erVq14tChQ2oxvvrqK1xcXNDW1sbW1pYFCxaoXV+6dCn29vbo6OhgYWHBwIEDlWtP7qq2tbVlzpw5hISEYGhoSOPGjVmxYoVavMuXL+Pn54eJiQn16tXD19dXba3Lk5SUhI+PT5nzbdq0wcbGho0bNyrnNm7cSOPGjXF3d1fOPf5n2djYGJVKpXautCD86aefMmTIEIYOHcrq1avL3E9DQ4PevXuTlJRUab5CCCGEEEIIIcTzTgrCQgg158+fx8rKiqZNmxIQEEBOTk615s2YMYNp06Zx/PhxNDU1GTJkCJMmTSI2Npb9+/dz4cIFpk+froxPTExk+vTpzJ49m8zMTObMmUNERAQJCQkAHDlyBIDdu3eTm5urVvjbu3cvWVlZ7N27l4SEBOLj44mPjwcgJCSEzMxMUlNTlfFpaWmcPHmS4ODgMnnHxsbi6enJ8OHDyc3NJTc3FxsbG+X6+++/z4IFCzh69CiampqEhIRUuAaxsbEsWLCA+fPnc/LkSby9vXn99dc5f/68MsbQ0JD4+HgyMjKIjY1l5cqVfPTRR8r1DRs2EBkZyZw5czh69CiWlpZqxd7qrN3juYeHh5Oeno6DgwP+/v48fPgQeFTo9vPzY/DgwZw6dYrIyEgiIiKUdTx69ChjxowhOjqas2fPsmPHDrp06VLhswMsWLAADw8P0tLSGDVqFCNHjlQK6IWFhXh7e2NoaMj+/ftJSUnBwMCAnj178uDBg3Lj3bhxg4yMDDw8PMq9HhISQlxcnPJ+9erV5X7GVblz5w5ffPEFb731Fj169CAvL4/9+/eXGde+fftyz5cqKCjg9u3baocQQgghhBBCCPG8kYKwEELRoUMH4uPj2bFjB8uWLeOnn36ic+fO3Llzp8q54eHheHt74+zszNixYzl27BgRERF06tQJd3d3QkND2bt3rzJ+xowZLFiwgAEDBmBnZ8eAAQMYP348y5cvB6BBgwYAmJmZ0bBhQ7UWBaampixZsgQnJyf69u1Lnz59lF6+1tbWeHt7qxUK4+Li8PLyomnTpmXyNjY2RktLCz09PWXXqIaGhnJ99uzZeHl50aJFC6ZMmcLBgwfL3bELj3YtT548mcGDB+Po6MgHH3xA69atWbRokTJm2rRpdOzYEVtbW3x8fAgPD2fDhg3K9UWLFhEaGkpoaCiOjo7MmjWLFi1aqN2nqrV7/DPp06cPDg4OREVFcenSJS5cuADAwoUL6datGxERETg4OBAUFMTo0aP58MMPAcjJyUFfX5++ffvSpEkT3N3dGTNmTLnPXap3796MGjWK5s2bM3nyZOrXr6985uvXr6e4uJhVq1bh6uqKs7MzcXFx5OTkkJycXG68nJwcSkpKsLKyKvf6W2+9xYEDB7h06RKXLl0iJSWFt956q9Icy5OUlIS9vT0uLi5oaGgwePBgPv300zLjrKysuHz5coV9hOfOnYuxsbFyPP6LBSGEEEIIIYQQ4nkhBWEhhKJXr168+eabuLm54e3tzbZt27h165ZSsBwxYoTSN/fJ3rlubm7KawsLCwBcXV3Vzl29ehWAu3fvkpWVRWhoqFq8WbNmkZWVVWWepYW7UpaWlkpsgOHDh/P5559z//59Hjx4wLp16yrd2VuZx5/L0tISQO1epW7fvs2vv/5Kp06d1M536tSJzMxM5f369evp1KmT0q5g2rRparuwMzMz6dChg1oMT09P5XVN1q6y3DMzM8vN9fz58xQVFdGjRw+aNGlC06ZNGTp0KImJidy7d6+SlVK/X2lrhtL7nThxggsXLmBoaKjkXK9ePe7fv1/hZ/7HH38AoKOjU+71Bg0a0KdPH+Lj44mLi6NPnz5Vtjgpz+rVq9UKyW+99RZffPFFmV+E6OrqUlxcTEFBQblxpk6dSl5ennJcvny5xrkIIYQQQgghhBB/N/m2KCFEhUxMTHBwcFB2lUZHRxMeHl7u2Lp16yqvVSpVuedKd1bm5+cDsHLlyjLFz8cLvRV5PO6TsQF8fHzQ1tZm06ZNaGlpUVhYqNb/tibKe66KdohW5dChQwQEBBAVFYW3tzfGxsYkJSWV6d1bmZqs3V/J3dDQkOPHj5OcnMx3333H9OnTiYyMJDU1FRMTk3LnVPa55Ofn07ZtWxITE8vMK90N/qTS4u7NmzcrHBMSEsLo0aMB+OSTT6r1bI/LyMjg8OHDHDlyRO2L5IqKikhKSmL48OHKuRs3bqCvr698id2TtLW10dbWrnEOQgghhBBCCCHEsyQFYSFEhfLz88nKymLo0KEAmJubY25u/pfjWlhYYGVlxcWLFwkICCh3jJaWFvCoMFdTmpqaBAYGEhcXh5aWFoMHD66wiFd6rz9zn8cZGRlhZWVFSkoKXl5eyvmUlBTat28PwMGDB2nSpAnvv/++cv3SpUtqcZydnfnhhx8YNmyYcu7w4cPK6+qsXXU4OzuTkpKidi4lJQUHBwelsKypqUn37t3p3r07M2bMwMTEhP/9738MGDCgxvdr06YN69evx9zcHCMjo2rNadasGUZGRmRkZODg4FDumNIexCqVCm9v7xrn9emnn9KlS5cyxeS4uDg+/fRTtYLw6dOn1b6wTgghhBBCCCGEeBFJQVgIoQgPD8fHx4cmTZrw66+/MmPGDDQ0NPD393/q94qKimLMmDEYGxvTs2dPCgoKOHr0KDdv3mTChAmYm5ujq6vLjh07sLa2RkdHB2Nj42rHDwsLw9nZGaBM4fNJtra2/PDDD2RnZyutDP6MiRMnMmPGDJo1a0br1q2Ji4sjPT1d2RVrb29PTk4OSUlJtGvXjq1bt7Jp0ya1GGPHjiUoKAgPDw86depEYmIiP/74o1r/46rWrjree+892rVrx8yZMxk0aBCHDh1iyZIlyhfYffvtt1y8eJEuXbpgamrKtm3bKC4uxtHR8U+tTUBAAB9++CG+vr5ER0djbW3NpUuX2LhxI5MmTcLa2rrMnDp16tC9e3cOHDhAv379yo2roaGhtOSozu7yxxUWFrJ27Vqio6Np2bKl2rWwsDAWLlzIjz/+iIuLCwD79+/ntddeq9E9hBDieZMd06e2UxBCCCGEELVMeggLIRQ///wz/v7+ODo64ufnh5mZGYcPH67wv+v/FWFhYaxatYq4uDhcXV3x8vIiPj4eOzs74NHu1MWLF7N8+XKsrKzw9fWtUXx7e3s6duyIk5NTmdYKTwoPD0dDQ4MWLVrQoEEDtZ6+NTFmzBgmTJjAe++9h6urKzt27GDLli3Y29sD8PrrrzN+/HhGjx5N69atOXjwIBEREWoxBg0aREREBJMmTaJt27ZcunSJkSNHqo2pau2qo02bNmzYsIGkpCRatmzJ9OnTiY6OJigoCHjULmTjxo28+uqrODs789///pfPP/9cKY7WlJ6eHt9//z2NGzdmwIABODs7Exoayv379yvdMRwWFkZSUlKlrS6MjIyqvev4cVu2bOH69ev079+/zDVnZ2ecnZ2VL5f75ZdfOHjwIMHBwTW+jxBCCCGEEEII8TxRlZSUlNR2EkII8bSVlJRgb2/PqFGjqr1rVjx/SkpK6NChA+PHj/9bdqpX1+TJk7l58yYrVqyo9pzbt29jbGxMXl7enypYCyGEEEIIIYQQNVHdn0Nlh7AQ4h/n2rVrLFmyhCtXrsiOzhecSqVixYoVPHz4sFbzMDc3Z+bMmbWagxBCCCGEEEII8TTIDmEhxD+OSqWifv36xMbGMmTIkNpOR/xLyQ5hIYQQQgghhBDPkuwQFkL8a5WUlHDt2rV/bDE4OzsblUpFenr6CxG3tvOwtbVl0aJFTyWWEEIIIYQQQgjxotOs7QSEEOLfLjIykqioKLVzjo6OnDlzppYy+mdJTU1FX1+/ttMQQojngu2UrbWdghDPVHZMn9pOQQghhHjuSEFYCCGeAy4uLuzevVt5r6n5/P31XFJSQlFR0XOZW2UaNGhQ2ykIIYQQQgghhBDPDWkZIYQQzwFNTU0aNmyoHPXr169yzsWLF3nllVfQ09OjVatWHDp0CIC7d+9iZGTEl19+qTZ+8+bN6Ovrc+fOHQCOHDmCu7s7Ojo6eHh4kJaWpjY+OTkZlUrF9u3badu2Ldra2hw4cICCggLGjBmDubk5Ojo6vPzyy6SmpgJw//59XFxcePvtt5U4WVlZGBoasnr16mrnVqqkpITmzZszf/58tfPp6emoVCouXLhASUkJkZGRNG7cGG1tbaysrBgzZowy9smWESqVilWrVtG/f3/09PSwt7dny5YtavFPnz5Nr169MDAwwMLCgqFDh/L7779X+ZkIIYQQQgghhBDPOykICyHEc+D8+fNYWVnRtGlTAgICyMnJqXLO+++/T3h4OOnp6Tg4OODv78/Dhw/R19dn8ODBxMXFqY2Pi4tj4MCBGBoakp+fT9++fWnRogXHjh0jMjKS8PDwcu8zZcoUYmJiyMzMxM3NjUmTJvHVV1+RkJDA8ePHad68Od7e3ty4cQMdHR0SExNJSEjg66+/pqioiLfeeosePXoQEhJSrdwep1KpCAkJKXd8ly5daN68OV999RUfffQRy5cv5/z582zevBlXV9dK1y4qKgo/Pz9OnjxJ7969CQgI4MaNGwDcunWLV199FXd3d44ePcqOHTv47bff8PPzqzRmQUEBt2/fVjuEEEIIIYQQQojnjRSEhRCilnXo0IH4+Hh27NjBsmXL+Omnn+jcuXOZ3bJPCg8Pp0+fPjg4OBAVFcWlS5e4cOECAGFhYezcuZPc3FwArl69yrZt2wgJCQFg3bp1FBcX8+mnn+Li4kLfvn2ZOHFiufeJjo6mR48eNGvWDG1tbZYtW8aHH35Ir169aNGiBStXrkRXV5dPP/0UgNatWzNr1izCwsIYN24cly5dYuXKlUq8qnJ7UlBQEGfPnuXIkSMAFBYWsm7dOmV8Tk4ODRs2pHv37jRu3Jj27dszfPjwStcuKCgIf39/mjdvzpw5c8jPz1fiL1myBHd3d+bMmYOTkxPu7u6sXr2avXv3cu7cuQpjzp07F2NjY+WwsbGpNAchhBBCCCGEEKI2SEFYCCFqWa9evXjzzTdxc3PD29ubbdu2cevWLTZs2MCIESMwMDBQjse5ubkpry0tLYFHxVWA9u3b4+LiQkJCAgCfffYZTZo0oUuXLgDKbl8dHR0lhqenZ7n5eXh4KK+zsrIoLCykU6dOyrm6devSvn17MjMzlXPvvfceDg4OLFmyhNWrV2NmZqZcqyq3J1lZWdGnTx9Wr14NwDfffENBQQFvvvkmAG+++SZ//PEHTZs2Zfjw4WzatImHDx+WG6u8tdPX18fIyEhZuxMnTrB37161dXdyclKevyJTp04lLy9POS5fvlxpDkIIIYQQQgghRG2QgrAQQjxnTExMcHBw4MKFC0RHR5Oenq4cj6tbt67yWqVSAVBcXKycCwsLIz4+HnjUYiE4OFgZVxP6+vo1nnP16lXOnTuHhoYG58+fL3O9prmFhYWRlJTEH3/8QVxcHIMGDUJPTw8AGxsbzp49y9KlS9HV1WXUqFF06dKFwsLCCuM9vnbwaP1K1y4/Px8fHx+1dU9PT+f8+fMVFq0BtLW1MTIyUjuEEEIIIYQQQojnzYv1VfFCCPEvkJ+fT1ZWFkOHDsXc3Bxzc/M/Feett95i0qRJLF68mIyMDAIDA5Vrzs7OrF27lvv37yu7hA8fPlxlzGbNmqGlpUVKSgpNmjQBHrVwSE1NZdy4ccq4kJAQXF1dCQ0NZfjw4XTv3h1nZ+dq5Vae3r17o6+vz7Jly9ixYwfff/+92nVdXV18fHzw8fHh3XffxcnJiVOnTtGmTZsqn+lJbdq04auvvsLW1hZNTflnUgjxz5Id06e2UxBCCCGEELVMdggLIUQtCw8PZ9++fWRnZ3Pw4EH69++PhoYG/v7+fymuqakpAwYMYOLEibz22mtYW1sr14YMGYJKpWL48OFkZGSwbds25s+fX2VMfX19Ro4cycSJE9mxYwcZGRkMHz6ce/fuERoaCsAnn3zCoUOHSEhIICAggH79+hEQEMCDBw+qlVt5NDQ0CAoKYurUqdjb26u1t4iPj+fTTz/l9OnTXLx4kc8++wxdXV2lYF1T7777Ljdu3MDf35/U1FSysrLYuXMnwcHBFBUV/amYQgghhBBCCCHE80IKwkIIUct+/vln/P39cXR0xM/PDzMzMw4fPkyDBg3+cuzQ0FAePHhQ5gvbDAwM+Oabbzh16hTu7u68//77fPDBB9WKGRMTwxtvvMHQoUNp06YNFy5cYOfOnZiamnLmzBkmTpzI0qVLlS9VW7p0Kb///jsRERHVyq2qZwkODlY7b2JiwsqVK+nUqRNubm7s3r2bb775Rq1vcU1YWVmRkpJCUVERr732Gq6urowbNw4TExPq1JF/NoUQQgghhBBCvNhUJSUlJbWdhBBCiL/H2rVrGT9+PL/++itaWlq1nY6amua2f/9+unXrxuXLl7GwsHgGGf41t2/fxtjYmLy8POknLIQQQgghhBDib1fdn0OlOaIQQvwD3bt3j9zcXGJiYnjnnXeeq2JwTXMrKCjg2rVrREZG8uabb74QxWAhhBBCCCGEEOJ5Jf/3VQghnpLs7GxUKhXp6em1nQrz5s3DycmJhg0bMnXq1NpOR01Nc/v8889p0qQJt27dYt68eZWOValUbN68+SllKoQQQgghhBBC/PNIQVgIISoQGRmJSqVSO5ycnGo7rWqJjIyksLCQPXv2YGBgUOG45ORkVCoVt27dema5xcfH8+GHH1aZW6mgoCCKioo4duwYjRo1egYZCiGEEEIIIYQQ/1zSMkIIISrh4uLC7t27lfeamk/3r82SkhKKioqeetyn7cGDB89V2wkhhBB/ju2UrZVez47p84wyEUIIIYQQtUV2CAshRCU0NTVp2LChctSvX7/KOWfOnKFjx47o6OjQsmVL9u3bp1wr3ZG7fft22rZti7a2NgcOHKCgoIAxY8Zgbm6Ojo4OL7/8MqmpqWXm7dy5E3d3d3R1dXn11Ve5evUq27dvx9nZGSMjI4YMGcK9e/eUeZXFzc7O5pVXXgHA1NQUlUpFUFAQAF27dmX06NGMGzeO+vXr4+3tTUhICH379lV71sLCQszNzfn000/V5o0ePRpjY2Pq169PREQEpd9f2rVrVy5dusT48eOVXdelvvrqK1xcXNDW1sbW1pYFCxao3cvW1paZM2fi7++Pvr4+jRo14pNPPimz/r///jv9+/dHT08Pe3t7tmzZolwrKioiNDQUOzs7dHV1cXR0JDY2Vm1+UFAQ/fr1Y/78+VhaWmJmZsa7775LYWFhFZ+8EEIIIYQQQgjx/JOCsBBCVOL8+fNYWVnRtGlTAgICyMnJqXLOxIkTee+990hLS8PT0xMfHx+uX7+uNmbKlCnExMSQmZmJm5sbkyZN4quvviIhIYHjx4/TvHlzvL29uXHjhtq8yMhIlixZwsGDB7l8+TJ+fn4sWrSIdevWsXXrVr777js+/vhjZXxlcW1sbPjqq68AOHv2LLm5uWrF0YSEBLS0tEhJSeG///0vYWFh7Nixg9zcXGXMt99+y7179xg0aJDaPE1NTY4cOUJsbCwLFy5k1apVAGzcuBFra2uio6PJzc1VYh07dgw/Pz8GDx7MqVOniIyMJCIigvj4eLXn//DDD2nVqhVpaWlMmTKFsWPHsmvXLrUxUVFR+Pn5cfLkSXr37k1AQICyjsXFxVhbW/PFF1+QkZHB9OnT+b//+z82bNigFmPv3r1kZWWxd+9eEhISiI+PL5OLEEIIIYQQQgjxIlKVlG7bEkIIoWb79u3k5+fj6OhIbm4uUVFR/PLLL5w+fRpDQ8My47Ozs7GzsyMmJobJkycD8PDhQ+zs7PjPf/7DpEmTSE5O5pVXXmHz5s34+voCcPfuXUxNTYmPj2fIkCHAo523tra2jBs3jokTJyrzdu/eTbdu3QCIiYlh6tSpZGVl0bRpUwBGjBhBdnY2O3bsqFHcmzdvYmJiojxL165duX37NsePH1d7RhcXFwIDA5k0aRIAr7/+OmZmZsTFxSnzrl69yo8//qjs/p0yZQpbtmwhIyMDQLn/uHHjlLgBAQFcu3aN7777Tjk3adIktm7dyo8//qjMc3Z2Zvv27cqYwYMHc/v2bbZt2wY8+lK5adOmMXPmTGVtDQwM2L59Oz179iz3cx49ejRXrlzhyy+/BB7tEE5OTiYrKwsNDQ0A/Pz8qFOnDklJSeXGgEe7sQsKCpT3t2/fxsbGhry8PIyMjCqcJ4QQz5K0jBBCCCGE+Oe6ffs2xsbGVf4cKjuEhRCiAr169eLNN9/Ezc0Nb29vtm3bxq1bt9iwYQMjRozAwMBAOR7n6empvNbU1MTDw4PMzEy1MR4eHsrrrKwsCgsL6dSpk3Kubt26tG/fvsw8Nzc35bWFhQV6enpKMbj03NWrV2sctzxt27Ytcy4sLEwp/v72229s376dkJAQtTEvvfSSWisIT09Pzp8/T1FRUYX3yszMVMsToFOnTmXmPb62pe8rWyN9fX2MjIyUNQH45JNPaNu2LQ0aNMDAwIAVK1aU2fnt4uKiFIMBLC0t1WKUZ+7cuRgbGyuHjY1NpeOFEEIIIYQQQojaIAVhIYSoJhMTExwcHLhw4QLR0dGkp6crR03p6+v/qRzq1q2rvFapVGrvS88VFxf/qdhPKi/HYcOGcfHiRQ4dOsRnn32GnZ0dnTt3fir3e1oqW5OkpCTCw8MJDQ3lu+++Iz09neDgYB48eFDtGBWZOnUqeXl5ynH58uWn8DRCCCGEEEIIIcTTJQVhIYSopvz8fLKysrC0tMTc3JzmzZsrx+MOHz6svH748CHHjh3D2dm5wrjNmjVTevWWKiwsJDU1lRYtWvzpfKsTV0tLC6DS3buPMzMzo1+/fsTFxREfH09wcHCZMT/88IPa+8OHD2Nvb6/suNXS0ipzP2dnZ7U8AVJSUnBwcFDbqfv42pa+r2xtn5SSkkLHjh0ZNWoU7u7uNG/enKysrGrPr4y2tjZGRkZqhxBCCCGEEEII8bzRrO0EhBDieRUeHo6Pjw9NmjTh119/ZcaMGWhoaODv71/pvE8++QR7e3ucnZ356KOPuHnzZpm2Co/T19dn5MiRTJw4kXr16tG4cWPmzZvHvXv3CA0N/dP5VydukyZNUKlUfPvtt/Tu3RtdXd0yLTCeFBYWRt++fSkqKiIwMLDM9ZycHCZMmMA777zD8ePH+fjjj1mwYIFy3dbWlu+//57Bgwejra1N/fr1ee+992jXrh0zZ85k0KBBHDp0iCVLlrB06VK12CkpKcybN49+/fqxa9cuvvjiC7Zurbwf5uPs7e1Zs2YNO3fuxM7OjrVr15KamoqdnV21YwghxItMegQLIYQQQggpCAshRAV+/vln/P39uX79Og0aNODll1/m8OHDNGjQoNJ5MTExxMTEkJ6eTvPmzdmyZQv169evck5xcTFDhw7lzp07eHh4sHPnTkxNTf/SM1QVt1GjRkRFRTFlyhSCg4MZNmwY8fHxlcbs3r07lpaWuLi4YGVlVeb6sGHD+OOPP2jfvj0aGhqMHTuWt99+W7keHR3NO++8Q7NmzSgoKKCkpIQ2bdqwYcMGpk+fzsyZM7G0tCQ6OpqgoCC12O+99x5Hjx4lKioKIyMjFi5ciLe3d7XX45133iEtLY1BgwahUqnw9/dn1KhRal9UJ4QQQgghhBBC/JOpSkpKSmo7CSGEEC+O/Px8GjVqRFxcHAMGDFC71rVrV1q3bs2iRYue+n1tbW0ZN24c48aNe+qx/w7V/XZXIYQQQgghhBDiaajuz6GyQ1gIIUS1FBcX8/vvv7NgwQJMTEx4/fXXazslIYQQQgghhBBC1JAUhIUQQlRLTk4OdnZ2WFtbEx8fj6am/BMihBBCCCGEEEK8aKRlhBDiXykoKIhbt26xefPmWo0h/rmkZYQQQgghhBBCiGepuj+H1nmGOQkh/qViYmJQqVS10vs1OzsblUpFenr6M793YWEhkydPxtXVFX19faysrBg2bBi//vrrM8+ltsTHx2NiYlLbaVToec9PCCGEEEIIIYR42uT/+woh/lapqaksX74cNze32k7lmbt37x7Hjx8nIiKCVq1acfPmTcaOHcvrr7/O0aNHazs9IYQQ/0K2U7bWdgriGcqO6VPbKQghhBDiOSQ7hIUQf5v8/HwCAgJYuXIlpqamlY4t3cm7YcMGOnfujK6uLu3atePcuXOkpqbi4eGBgYEBvXr14tq1a2pzV61ahbOzMzo6Ojg5ObF06VLlmp2dHQDu7u6oVCq6du2qNnf+/PlYWlpiZmbGu+++S2FhIQDR0dG0bNmyTJ6tW7cmIiKiWs9vbGzMrl278PPzw9HRkZdeeoklS5Zw7NgxcnJyKp2bk5ODr68vBgYGGBkZ4efnx2+//QbAmTNn0NPTY926dcr4DRs2oKurS0ZGRpXzASIjI2ndujXLly/HxsYGPT09/Pz8yMvLU8ujsrUt/cw2btzIK6+8gp6eHq1ateLQoUMAJCcnExwcTF5eHiqVCpVKRWRkJABr167Fw8MDQ0NDGjZsyJAhQ7h69aoSOzk5GZVKxZ49e/Dw8EBPT4+OHTty9uxZtfyWLVtGs2bN0NLSwtHRkbVr16pdX7hwobJD28bGhlGjRpGfn19lfgUFBYSHh9OoUSP09fXp0KEDycnJlX5mQgghhBBCCCHEi0AKwkKIv827775Lnz596N69e7XnzJgxg2nTpnH8+HE0NTUZMmQIkyZNIjY2lv3793PhwgWmT5+ujE9MTGT69ACOtuUAAQAASURBVOnMnj2bzMxM5syZQ0REBAkJCQAcOXIEgN27d5Obm8vGjRuVuXv37iUrK4u9e/eSkJBAfHw88fHxAISEhJCZmUlqaqoyPi0tjZMnTxIcHPyn16S0+FhZm4Li4mJ8fX25ceMG+/btY9euXVy8eJFBgwYB4OTkxPz58xk1ahQ5OTn8/PPPjBgxgg8++IAWLVpUOb/UhQsX2LBhA9988w07duwgLS2NUaNGVXttS73//vuEh4eTnp6Og4MD/v7+PHz4kI4dO7Jo0SKMjIzIzc0lNzeX8PBw4FE7jZkzZ3LixAk2b95MdnY2QUFBZdbi/fffZ8GCBRw9ehRNTU1CQkKUa5s2bWLs2LG89957nD59mnfeeYfg4GD27t2rjKlTpw6LFy/mxx9/JCEhgf/9739MmjQJoNL8Ro8ezaFDh0hKSuLkyZO8+eab9OzZk/Pnz1fjUxZCCCGEEEIIIZ5f8qVyQoi/RVJSErNnzyY1NRUdHR26du1K69atWbRoUbnjs7OzsbOzY9WqVYSGhiox/P392bNnD6+++irwqB9xfHw8Z86cAaB58+bMnDkTf39/JdasWbPYtm0bBw8eVOKmpaXRunVrZUxQUBDJyclkZWWhoaEBgJ+fH3Xq1CEpKQmA3r17Y2trq+yKHTNmDKdOnVIKjjX9Urn79+/TqVMnnJycSExMrHDcrl276NWrFz/99BM2NjYAZGRk4OLiwpEjR2jXrh0Affv25fbt22hpaaGhocGOHTtQqVTVmh8ZGcmsWbO4dOkSjRo1AmDHjh306dOHX375hYYNG1Z7bR//zErvk5mZiZOTE/Hx8YwbN45bt25VujZHjx6lXbt23LlzBwMDA5KTk3nllVfYvXs33bp1A2Dbtm306dOHP/74Ax0dHTp16oSLiwsrVqxQ4vj5+XH37l22bi3/v0R/+eWXjBgxgt9//x2g3PxycnJo2rQpOTk5WFlZKee7d+9O+/btmTNnTrmxCwoKKCgoUN7fvn0bGxsb+VI5IcRzRVpG/LtIywghhBDi30W+VE4IUWsuX77M2LFjSUxMREdHp8z1ESNGYGBgoByPe7zXsIWFBQCurq5q50pbC9y9e5esrCxCQ0PV4s2aNYusrKwq83RxcVGKwQCWlpZqbQuGDx/O559/zv3793nw4AHr1q1T26H6uMTERLUc9u/fr3a9sLAQPz8/SkpKWLZsmXK+V69eyhwXFxcAMjMzsbGxUYq5AC1atMDExITMzEzl3OrVqzl58iTHjx8nPj4elUpVo/mNGzdWisEAnp6eFBcXc/bs2Rqt7eOfmaWlJYDaOpbn2LFj+Pj40LhxYwwNDfHy8gIo00qjstiZmZl06tRJbXynTp3UnrG0oNyoUSMMDQ0ZOnQo169f5969exXmdurUKYqKinBwcFB79n379lX652ru3LkYGxsrx+PrL4QQQgghhBBCPC/kS+WEEE/dsWPHuHr1Km3atFHOFRUV8f3337NkyRJ++eUX5b/mP6lu3brK69IC55PniouLAZResCtXrqRDhw5qcR4v9Fbk8bhPxgbw8fFBW1ubTZs2oaWlRWFhIQMHDiw31uuvv66Ww+OF1tJi8KVLl/jf//6n9lu6VatW8ccff5SbT1VOnDjB3bt3qVOnDrm5uUrB9GmoydqW95k9vo5Punv3Lt7e3nh7e5OYmEiDBg3IycnB29ubBw8e/KXYj8vOzqZv376MHDmS2bNnU69ePQ4cOEBoaCgPHjxAT0+v3Hn5+floaGhw7NixMs/65C8wHjd16lQmTJigvC/dISyEEEIIIYQQQjxPpCAshHjqunXrxqlTp9TOBQcH4+TkxOTJk7GwsFB2//4VFhYWWFlZcfHiRQICAsodo6WlBTwqSNeUpqYmgYGBxMXFoaWlxeDBg9HV1S13rKGhIYaGhmXOlxaDz58/z969ezEzM1O7/njhuJSzszOXL1/m8uXLai0fbt26RYsWLQC4ceMGQUFBvP/+++Tm5hIQEMDx48fR1dWt1nx4tBv3119/VdoiHD58mDp16uDo6Fitta0OLS2tMmt/5swZrl+/TkxMjJLf0aNHaxzb2dmZlJQUAgMDlXMpKSnKMx47dozi4mIWLFhAnTqP/kPMhg0bqszP3d2doqIirl69SufOnaudj7a2Ntra2jV+DiGEEEIIIYQQ4lmSgrAQ4qkzNDSkZcuWauf09fUxMzMrc/6vioqKYsyYMRgbG9OzZ08KCgo4evQoN2/eZMKECZibm6Orq8uOHTuwtrZGR0cHY2PjascPCwvD2dkZeFRsrInSHcXHjx/n22+/paioiCtXrgBQr149pVj9pO7du+Pq6kpAQACLFi3i4cOHjBo1Ci8vLzw8PIBHbTdsbGyYNm0aBQUFuLu7Ex4ezieffFKt+QA6OjoEBgYyf/58bt++zZgxY/Dz86Nhw4bVWtvqsLW1JT8/nz179tCqVSv09PRo3LgxWlpafPzxx4wYMYLTp08zc+bMGq0twMSJE/Hz88Pd3Z3u3bvzzTffsHHjRnbv3g086i9dWFjIxx9/jI+PDykpKfz3v/+tMj8HBwcCAgIYNmwYCxYswN3dnWvXrrFnzx7c3Nzo00f6MQohXlzSU1YIIYQQQkgPYSHECy0sLIxVq1YRFxeHq6srXl5exMfHY2dnBzza5bt48WKWL1+OlZUVvr6+NYpvb29Px44dcXJyKtM6oSq//PILW7Zs4eeff6Z169ZYWloqx8GDByucp1Kp+PrrrzE1NaVLly50796dpk2bsn79egDWrFnDtm3bWLt2LZqamujr6/PZZ5+xcuVKtm/fXuX8Us2bN2fAgAH07t2b1157DTc3N+UL9KDqta2Ojh07MmLECAYNGkSDBg2YN28eDRo0ID4+ni+++IIWLVoQExPD/Pnza7S2AP369SM2Npb58+fj4uLC8uXLiYuLo2vXrgC0atWKhQsX8sEHH9CyZUsSExOZO3dulfkBxMXFMWzYMN577z0cHR3p168fqampNG7cuMZ5CiGEEEIIIYQQzxNVSUlJSW0nIYQQz6uSkhLs7e0ZNWpUtXfFvggiIyPZvHkz6enptZ3KP1Z1v91VCCGEEEIIIYR4Gqr7c6i0jBBCiApcu3aNpKQkrly5QnBwcG2nI4QQQgghhBBCCPGXSUFYCCEqYG5uTv369VmxYgWmpqa1nY4QQgghhBBCCCHEXyY9hIUQz7Xs7GxUKtVTb21QnbglJSVcu3aNIUOGPNV711RycjIqlYpbt249tZiRkZF/ak1VKhWbN29+ankIIYQQQgghhBDi2ZKCsBCi1sTExKBSqRg3blxtpyL+pYKCgujXr19tpyGEEEIIIYQQQjwz0jJCCFErUlNTWb58OW5ubrWdSrlKSkooKipCU1P+mnzWCgsLqVu3bm2nIYT4B7KdsrW2U6h12TF9ajsFIYQQQghRy2SHsBDimcvPzycgIICVK1dWuzfvxYsXeeWVV9DT06NVq1YcOnQIgLt372JkZMSXX36pNn7z5s3o6+tz584dAI4cOYK7uzs6Ojp4eHiQlpamNr60LcP27dtp27Yt2traHDhwgIKCAsaMGYO5uTk6Ojq8/PLLpKamAnD//n1cXFx4++23lThZWVkYGhqyevXqauVW2roiKSmJjh07oqOjQ8uWLdm3b1+ZNTh27BgeHh7o6enRsWNHzp49q3b966+/pk2bNujo6NC0aVOioqJ4+PChcl2lUrFq1Sr69++Pnp4e9vb2bNmyBXhUAG/evDnz589Xi5meno5KpeLChQtl8qkq9+rGVKlULFu2jNdffx19fX1mz55NfHw8JiYmZdZNpVIBcO7cOVQqFWfOnFEb89FHH9GsWTMAioqKCA0Nxc7ODl1dXRwdHYmNjVXGRkZGkpCQwNdff41KpUKlUpGcnAzA5cuX8fPzw8TEhHr16uHr60t2dnaZNRBCCCGEEEIIIV40UhAWQjxz7777Ln369KF79+7VnvP+++8THh5Oeno6Dg4O+Pv78/DhQ/T19Rk8eDBxcXFq4+Pi4hg4cCCGhobk5+fTt29fWrRowbFjx4iMjCQ8PLzc+0yZMoWYmBgyMzNxc3Nj0qRJfPXVVyQkJHD8+HGaN2+Ot7c3N27cQEdHh8TERKWoWFRUxFtvvUWPHj0ICQmpVm6lJk6cyHvvvUdaWhqenp74+Phw/fr1MmuwYMECjh49iqamJiEhIcq1/fv3M2zYMMaOHUtGRgbLly8nPj6e2bNnq8WIiorCz8+PkydP0rt3bwICArhx4wYqlYqQkJByc+3SpQvNmzev8LOpKPeaxIyMjKR///6cOnVK7bkq4uDggIeHB4mJiWrnExMTlZ7PxcXFWFtb88UXX5CRkcH06dP5v//7PzZs2ABAeHg4fn5+9OzZk9zcXHJzc+nYsSOFhYV4e3tjaGjI/v37SUlJwcDAgJ49e/LgwYMqcxNCCCGEEEIIIZ5nUhAWQjxTSUlJHD9+nLlz59ZoXnh4OH369MHBwYGoqCguXbqk7DANCwtj586d5ObmAnD16lW2bdumFBbXrVtHcXExn376KS4uLvTt25eJEyeWe5/o6Gh69OhBs2bN0NbWZtmyZXz44Yf06tWLFi1asHLlSnR1dfn0008BaN26NbNmzSIsLIxx48Zx6dIlVq5cqcSrKrdSo0eP5o033sDZ2Zlly5ZhbGys3KPU7Nmz8fLyokWLFkyZMoWDBw9y//594FGhd8qUKQQGBtK0aVN69OjBzJkzWb58uVqMoKAg/P39ad68OXPmzCE/P58jR44o186ePau8LywsZN26dVUWaCvLvboxhwwZQnBwME2bNqVx48aV3q9UQEAAn3/+ufL+3LlzHDt2jICAAADq1q1LVFQUHh4e2NnZERAQQHBwsFIQNjAwQFdXF21tbRo2bEjDhg3R0tJi/fr1FBcXs2rVKlxdXXF2diYuLo6cnBxlB3F5CgoKuH37ttohhBBCCCGEEEI8b6QgLIR4Zi5fvszYsWNJTExER0enzPURI0ZgYGCgHI97vNewpaUl8Ki4CtC+fXtcXFxISEgA4LPPPqNJkyZ06dIFQNnt+/g9PT09y83Rw8NDeZ2VlUVhYSGdOnVSztWtW5f27duTmZmpnHvvvfdwcHBgyZIlrF69GjMzM+VaVbmVl4+mpiYeHh5q96hqDU6cOEF0dLTa+g0fPpzc3Fzu3btXbgx9fX2MjIyUGFZWVvTp04fVq1cD8M0331BQUMCbb75Z7lpVJ/fqxnx83atr8ODBZGdnc/jwYeDR7uA2bdrg5OSkjPnkk09o27YtDRo0wMDAgBUrVpCTk1Np3BMnTnDhwgUMDQ2VtaxXrx73798nKyurwnlz587F2NhYOWxsbGr8TEIIIYQQQgghxN9NCsJCiGfm2LFjXL16lTZt2qCpqYmmpib79u1j8eLFaGpqEhUVRXp6unI87vEvGSvtI1tcXKycCwsLIz4+HnjUkiA4OFgZVxP6+vo1nnP16lXOnTuHhoYG58+fL3P9aeVW2Rrk5+eXWb9Tp05x/vx5tUL4k1/WplKpyqxjUlISf/zxB3FxcQwaNAg9Pb0a5/q46sR8ct3r1KlDSUmJ2rnCwkK19w0bNuTVV19l3bp1wKOd4KW7g+HRbvTw8HBCQ0P57rvvSE9PJzg4uMq2D/n5+bRt21ZtLdPT0zl37pzSjqI8U6dOJS8vTzkuX75c6X2EEEIIIYQQQojaIAVhIcQz061bN06dOqVWZPPw8CAgIID09HQsLCxo3ry5ctTEW2+9xaVLl1i8eDEZGRkEBgYq15ydnTl58qTSXgFQdpVWplmzZmhpaZGSkqKcKywsJDU1lRYtWijnQkJCcHV1JSEhgcmTJ5fZ2VtZbuXl8/DhQ44dO4azs3P1Hh5o06YNZ8+eVVu/0qNOner/Vd+7d2/09fVZtmwZO3bsqFY/36py/zMxGzRowJ07d7h7965y7slfEsCjthHr16/n0KFDXLx4kcGDByvXUlJS6NixI6NGjcLd3Z3mzZuX2eGrpaVFUVGR2rk2bdpw/vx5zM3Ny6ylsbFxhTlra2tjZGSkdgghhBBCCCGEEM8bzdpOQAjx72FoaEjLli3Vzunr62NmZlbmfE2ZmpoyYMAAJk6cyGuvvYa1tbVybciQIbz//vsMHz6cqVOnkp2dzfz586uMqa+vz8iRI5k4cSL16tWjcePGzJs3j3v37hEaGgo8aklw6NAhTp48iY2NDVu3biUgIIDDhw+jpaVVZW6lPvnkE+zt7XF2duajjz7i5s2b1Sqclpo+fTp9+/alcePGDBw4kDp16nDixAlOnz7NrFmzqh1HQ0ODoKAgpk6dir29fYWtNWqS+5+J2aFDB/T09Pi///s/xowZww8//KDssn7cgAEDGDlyJCNHjuSVV17ByspKuWZvb8+aNWvYuXMndnZ2rF27ltTUVOzs7JQxtra27Ny5k7Nnz2JmZoaxsTEBAQF8+OGH+Pr6Eh0djbW1NZcuXWLjxo1MmjSp3M9PCPFiyI7pU9spCCGEEEIIUetkh7AQ4h8jNDSUBw8elCmkGhgY8M0333Dq1Cnc3d15//33+eCDD6oVMyYmhjfeeIOhQ4fSpk0bLly4wM6dOzE1NeXMmTNMnDiRpUuXKv1ily5dyu+//05ERES1cnv8PjExMbRq1YoDBw6wZcsW6tevX+1n9/b25ttvv+W7776jXbt2vPTSS3z00Uc0adKk2jGezDU4OLha46uTe01j1qtXj88++4xt27bh6urK559/TmRkZJlxhoaG+Pj4cOLECbV2EQDvvPMOAwYMYNCgQXTo0IHr168zatQotTHDhw/H0dERDw8PGjRoQEpKCnp6enz//fc0btyYAQMG4OzsTGhoKPfv35ddv0IIIYQQQgghXniqkiebNAohxAtq7dq1jB8/nl9//VXZnfu8qCi37Oxs7OzsSEtLo3Xr1rWX4GP2799Pt27duHz5MhYWFhWOq0nu1Y35T3L79m2MjY3Jy8uTQrIQQgghhBBCiL9ddX8OlZYRQogX3r1798jNzSUmJoZ33nnnuSoGP8+5PamgoIBr164RGRnJm2+++VQKt39HTCGEEEIIIYQQQvx50jJCCPHCmzdvHk5OTjRs2JCpU6fWdjpqnufcnvT555/TpEkTbt26xbx5857bmEIIIYQQQgghhPjzpGWEEEL8A3Tt2pXWrVuzaNGiCsfY2toybtw4xo0bV62YkZGRbN68mfT09KeS47+NtIwQQgghhBBCCPEsVffnUNkhLIT4R4mJiUGlUlW76Pl3iY+Px8TE5Jndb+PGjcycOfOZ3a8mbG1tKy1U17bnPT8hhBBCCCGEEOJpkh7CQoh/jNTUVJYvX46bm1ttp/LM1atXr7ZTEEII8QKwnbK1tlMQ/yLZMX1qOwUhhBBClEN2CAsh/hHy8/MJCAhg5cqVmJqaVjl+8uTJODg4oKenR9OmTYmIiKCwsFBtzDfffEO7du3Q0dGhfv369O/fX7lWUFBAeHg4jRo1Ql9fnw4dOpCcnAxAcnIywcHB5OXloVKpUKlUREZGArB27Vo8PDwwNDSkYcOGDBkyhKtXrypxk5OTUalU7Ny5E3d3d3R1dXn11Ve5evUq27dvx9nZGSMjI4YMGcK9e/eUeV27dlXbFX316lV8fHzQ1dXFzs6OxMTEMmuQk5ODr68vBgYGGBkZ4efnx2+//VZm3PLly7GxsUFPTw8/Pz/y8vIqvC9Av379CAoKUq5funSJ8ePHK2sBcP36dfz9/WnUqBF6enq4urry+eefq8Xp2rUrY8aMYdKkSdSrV4+GDRsq61jdZ8jKysLX1xcLCwsMDAxo164du3fvVrtHefkBHDhwgM6dO6Orq4uNjQ1jxozh7t27ZdZHCCGEEEIIIYR4kUhBWAjxj/Duu+/Sp08funfvXq3xhoaGxMfHk5GRQWxsLCtXruSjjz5Srm/dupX+/fvTu3dv0tLS2LNnD+3bt1eujx49mkOHDpGUlMTJkyd588036dmzJ+fPn6djx44sWrQIIyMjcnNzyc3NJTw8HIDCwkJmzpzJiRMn2Lx5M9nZ2Urx9HGRkZEsWbKEgwcPcvnyZfz8/Fi0aBHr1q1j69atfPfdd3z88ccVPl9QUBCXL19m7969fPnllyxdulSt8FxcXIyvry83btxg37597Nq1i4sXLzJo0CC1OBcuXGDDhg1888037Nixg7S0NEaNGlWtNYZHrSysra2Jjo5W1gLg/v37tG3blq1bt3L69Gnefvtthg4dypEjR9TmJyQkoK+vzw8//MC8efOIjo5m165d1X6G/Px8evfuzZ49e0hLS6Nnz574+PiQk5NTaX5ZWVn07NmTN954g5MnT7J+/XoOHDjA6NGjK3zWgoICbt++rXYIIYQQQgghhBDPG2kZIYR44SUlJXH8+HFSU1OrPWfatGnKa1tbW8LDw0lKSmLSpEkAzJ49m8GDBxMVFaWMa9WqFfBoV2pcXBw5OTlYWVkBEB4ezo4dO4iLi2POnDkYGxujUqlo2LCh2n1DQkKU102bNmXx4sW0a9eO/Px8DAwMlGuzZs2iU6dOAISGhjJ16lSysrJo2rQpAAMHDmTv3r1Mnjy5zLOdO3eO7du3c+TIEdq1awfAp59+irOzszJmz549nDp1ip9++gkbGxsA1qxZg4uLC6mpqcq8+/fvs2bNGho1agTAxx9/TJ8+fViwYEGZZytPvXr10NDQUHZEl2rUqJFSJAf4z3/+w86dO9mwYYNa4d3NzY0ZM2YAYG9vz5IlS9izZw89evSo1jO0atVK+dwAZs6cyaZNm9iyZQujR4+uML+5c+cSEBCg7H62t7dn8eLFeHl5sWzZMnR0dMo869y5c9X+vAghhBBCCCGEEM8j2SEshHihXb58mbFjx5KYmFhukW7EiBEYGBgoR6n169fTqVMnGjZsiIGBAdOmTVN2jQKkp6fTrVu3cu956tQpioqKcHBwUIu9b98+srKyKs332LFj+Pj40LhxYwwNDfHy8gJQuzeg1gfZwsJCaW3x+LnHd/w+LjMzE01NTdq2baucc3JyUvuSu8zMTGxsbJRCKkCLFi0wMTEhMzNTOde4cWOlGAzg6elJcXExZ8+erfQ5q1JUVMTMmTNxdXWlXr16GBgYsHPnzkrXAcDS0lJ57uo8Q35+PuHh4Tg7O2NiYoKBgQGZmZll7vOkEydOEB8fr/b5ent7U1xczE8//VTunKlTp5KXl6ccly9frvG6CCGEEEIIIYQQfzfZISyEeKEdO3aMq1ev0qZNG+VcUVER33//PUuWLOGXX35R24kKcOjQIQICAoiKisLb2xtjY2OSkpJYsGCBMkZXV7fCe+bn56OhocGxY8fQ0NBQu/Z40flJd+/exdvbG29vbxITE2nQoAE5OTl4e3vz4MEDtbF169ZVXqtUKrX3peeKi4srvNezUqdOHUpKStTOPdmLuTwffvghsbGxLFq0CFdXV/T19Rk3blyl6wA1f+7w8HB27drF/Pnzad68Obq6ugwcOLDMfZ6Un5/PO++8w5gxY8pca9y4cblztLW10dbWrnZuQgghhBBCCCFEbZCCsBDihdatWzdOnTqldi44OBgnJycmT56MhYUFFhYWatcPHjxIkyZNeP/995Vzly5dUhvj5ubGnj17CA4OLnNPd3d3ioqKuHr1Kp07dy43Ly0tLYqKitTOnTlzhuvXrxMTE6Psaj169Gj1H7aanJycePjwIceOHVNaP5w9e5Zbt24pY5ydnbl8+TKXL19WcsnIyODWrVu0aNFCGZeTk8Ovv/6qtMY4fPgwderUwdHREYAGDRoofXfhUTH+9OnTvPLKK8q58tYiJSUFX19f3nrrLeBRP+Bz586p3bsq1XmGlJQUgoKClC8EzM/PJzs7Wy1Oefm1adOGjIwMmjdvXu18hBBCCCGEEEKIF4EUhIUQLzRDQ0Natmypdk5fXx8zM7My50vZ29uTk5NDUlIS7dq1Y+vWrWzatEltzIwZM+jWrRvNmjVj8ODBPHz4kG3btjF58mQcHBwICAhg2LBhLFiwAHd3d65du8aePXtwc3OjT58+2Nrakp+fz549e2jVqhV6eno0btwYLS0tPv74Y0aMGMHp06eZOXPmU18TR0dHevbsyTvvvMOyZcvQ1NRk3Lhxarueu3fvjqurKwEBASxatIiHDx8yatQovLy88PDwUMbp6OgQGBjI/PnzuX37NmPGjMHPz0/pt/vqq68yYcIEtm7dSrNmzVi4cKFa4Rke9Wj+/vvvGTx4MNra2tSvXx97e3u+/PJLDh48iKmpKQsXLuS3336rUUG4Os9gb2/Pxo0b8fHxQaVSERERUWaHcXn5TZ48mZdeeonRo0cTFhaGvr4+GRkZ7Nq1iyVLltT0IxFCiOdGdkyf2k5BCCGEEELUMukhLIT413n99dcZP348o0ePpnXr1hw8eJCIiAi1MV27duWLL75gy5YttG7dmldffZUjR44o1+Pi4hg2bBjvvfcejo6O9OvXj9TUVKWdQMeOHRkxYgSDBg2iQYMGzJs3jwYNGhAfH88XX3xBixYtiImJYf78+X/LM8bFxWFlZYWXlxcDBgzg7bffxtzcXLmuUqn4+uuvMTU1pUuXLnTv3p2mTZuyfv16tTjNmzdnwIAB9O7dm9deew03NzeWLl2qXA8JCSEwMJBhw4bh5eVF06ZN1XYHA0RHR5OdnU2zZs1o0KAB8OhL/dq0aYO3tzddu3alYcOG9OvXr0bPWJ1nWLhwIaampnTs2BEfHx+8vb3V2otUlJ+bmxv79u3j3LlzdO7cGXd3d6ZPn67slBZCCCGEEEIIIV5UqpInmz8KIYQQ4i+7ffs2xsbG5OXlYWRkVNvpCCGEEEIIIYT4h6vuz6GyQ1gIIYQQQgghhBBCCCH+JaQgLIQQQgghhBBCCCGEEP8SUhAWQoh/oaCgoBr37K0qRteuXRk3blylc1QqFZs3b/7T94yMjKR169ZPPS8hhBBCCCGEEOLfQgrCQgjxN1i2bBlubm4YGRlhZGSEp6cn27dvf+Z5ZGdno1KpSE9Pf+b3Lk9ubi69evWq1tjyisfh4eHs2bOnRvfcuHEjM2fOrNEcIYQQQgghhBDin0qzthMQQoh/Imtra2JiYrC3t6ekpISEhAR8fX1JS0vDxcWlttOrNQ0bNvxL8w0MDDAwMKjRnHr16v2lewohRFVsp2yt7RSqLTumT22nIIQQQgghapnsEBZCiL+Bj48PvXv3xt7eHgcHB2bPno2BgQGHDx8ud3zpTt4NGzbQuXNndHV1adeuHefOnSM1NRUPDw8MDAzo1asX165dU5u7atUqnJ2d0dHRwcnJiaVLlyrX7OzsAHB3d0elUtG1a1e1ufPnz8fS0hIzMzPeffddCgsLAYiOjqZly5Zl8mzdujUREREVPndxcTGTJk2iXr16NGzYkMjISLXrj+/6ffDgAaNHj8bS0hIdHR2aNGnC3LlzAbC1tQWgf//+qFQq5f2TLSOKioqYMGECJiYmmJmZMWnSJEpKStTu+WTLCFtbW+bMmUNISAiGhoY0btyYFStWqM25fPkyfn5+mJiYUK9ePXx9fcnOzq7wuYUQQgghhBBCiBeFFISFEOJvVlRURFJSEnfv3sXT07PSsTNmzGDatGkcP34cTU1NhgwZwqRJk4iNjWX//v1cuHCB6dOnK+MTExOZPn06s2fPJjMzkzlz5hAREUFCQgIAR44cAWD37t3k5uayceNGZe7evXvJyspi7969JCQkEB8fT3x8PAAhISFkZmaSmpqqjE9LS+PkyZMEBwdXmH9CQgL6+vr88MMPzJs3j+joaHbt2lXu2MWLF7NlyxY2bNjA2bNnSUxMVAq/pfeNi4sjNzdXLY/HLViwgPj4eFavXs2BAwe4ceMGmzZtqnSNS+d5eHiQlpbGqFGjGDlyJGfPngWgsLAQb29vDA0N2b9/PykpKRgYGNCzZ08ePHhQYcyCggJu376tdgghhBBCCCGEEM8baRkhhBB/k1OnTuHp6cn9+/cxMDBg06ZNtGjRotI54eHheHt7AzB27Fj8/f3Zs2cPnTp1AiA0NFQp2sKjAvKCBQsYMGAA8GhHcEZGBsuXLycwMJAGDRoAYGZmVqZdg6mpKUuWLEFDQwMnJyf69OnDnj17GD58ONbW1nh7exMXF0e7du2AR8VZLy8vmjZtWmH+bm5uzJgxAwB7e3uWLFnCnj176NGjR5mxOTk52Nvb8/LLL6NSqWjSpIlyrTRvExOTSttMLFq0iKlTpyrP/9///pedO3dWOL5U7969GTVqFACTJ0/mo48+Yu/evTg6OrJ+/XqKi4tZtWoVKpVKeXYTExOSk5N57bXXyo05d+5coqKiqry3EEIIIYQQQghRm2SHsBBC/E0cHR1JT0/nhx9+YOTIkQQGBpKRkcGIESOUXrhP9sN1c3NTXltYWADg6uqqdu7q1asA3L17l6ysLEJDQ9XizZo1i6ysrCrzc3FxQUNDQ3lvaWmpxAYYPnw4n3/+Offv3+fBgwesW7eOkJCQSmM+nn95MR8XFBREeno6jo6OjBkzhu+++67KnB+Xl5dHbm4uHTp0UM5pamri4eFR5dzH81SpVDRs2FDJ88SJE1y4cAFDQ0NlTevVq8f9+/crXdepU6eSl5enHJcvX67R8wghhBBCCCGEEM+C7BAWQoi/iZaWFs2bNwegbdu2pKamEhsby8yZMwkPDy93Tt26dZXXpbtTnzxXXFwMQH5+PgArV65UK4oCaoXeijwe98nY8KgPsra2Nps2bUJLS4vCwkIGDhz4l2I+rk2bNvz0009s376d3bt34+fnR/fu3fnyyy+rzP2vqizP/Px82rZtS2JiYpl5pTuXy6OtrY22tvbTTVQIIYQQQgghhHjKpCAshBDPSHFxMQUFBZibm2Nubv6X41lYWGBlZcXFixcJCAgod4yWlhbwqI9xTWlqahIYGEhcXBxaWloMHjwYXV3dv5Tzk4yMjBg0aBCDBg1i4MCB9OzZkxs3blCvXj3q1q1bad7GxsZYWlryww8/0KVLFwAePnzIsWPHaNOmzZ/OqU2bNqxfvx5zc3OMjIz+dBwhhBBCCCGEEOJ5JAVhIYT4G0ydOpVevXrRuHFj7ty5w7p160hOTq5Wf9uaiIqKYsyYMRgbG9OzZ08KCgo4evQoN2/eZMKECZibm6Orq8uOHTuwtrZGR0cHY2PjascPCwvD2dkZgJSUlKea+8KFC7G0tMTd3Z06derwxRdf0LBhQ0xMTACwtbVV+idra2tjampaJsbYsWOJiYnB3t4eJycnFi5cyK1bt/5SXgEBAXz44Yf4+voSHR2NtbU1ly5dYuPGjUyaNAlra+u/FF8I8c+THdOntlMQQgghhBCi2qSHsBBC/A2uXr3KsGHDcHR0pFu3bqSmprJz585yv1ztrwgLC2PVqlXExcXh6uqKl5cX8fHx2NnZAY92+S5evJjly5djZWWFr69vjeLb29vTsWNHnJycyrSl+KsMDQ2ZN28eHh4etGvXjuzsbLZt20adOo/+aVqwYAG7du3CxsYGd3f3cmO89957DB06lMDAQDw9PTE0NKR///5/KS89PT2+//57GjduzIABA3B2diY0NJT79+/LjmEhhBBCCCGEEC88VUlJSUltJyGEEOL5VFJSgr29PaNGjWLChAm1nc4L5fbt2xgbG5OXlyeFZCGEEEIIIYQQf7vq/hwqLSOEEEKU69q1ayQlJXHlyhWCg4NrOx0hhBBCCCGEEEI8BVIQFkIIUS5zc3Pq16/PihUryu3fK4QQQgghhBBCiBeP9BAWQrywgoKC6Nev3zOPYWtry6JFi/7Sff9O2dnZqFQq0tPT/1KckpISrl27xpAhQ/50jK5duzJu3LhKx8THxytfJPd3O3v2LA0bNuTOnTvVnjNlyhT+85///I1ZCSGEEEIIIYQQz44UhIUQ5Vq2bBlubm4YGRlhZGSEp6cn27dvr5VcnlaBs7YkJyejUqm4detWbafyzG3cuJGZM2cq78srpg8aNIhz5849k3ymTp3Kf/7zHwwNDYFHn42vry+Wlpbo6+vTunVrEhMT1eaEh4eTkJDAxYsXn0mOQgghhBBCCCHE30laRgghymVtbU1MTAz29vaUlJSQkJCAr68vaWlpuLi41HZ6/1qFhYXUrVu3ttOodh716tWrcoyuri66urpPI61K5eTk8O233/Lxxx8r5w4ePIibmxuTJ0/GwsKCb7/9lmHDhmFsbEzfvn0BqF+/Pt7e3ixbtowPP/zwb89TCCH+TrZTttZ2Ck9Vdkyf2k5BCCGEEOKFIzuEhRDl8vHxoXfv3tjb2+Pg4MDs2bMxMDDg8OHDFc4p3cm7YcMGOnfujK6uLu3atePcuXOkpqbi4eGBgYEBvXr14tq1a2pzV61ahbOzMzo6Ojg5ObF06VLlmp2dHQDu7u6oVCq6du2qNnf+/PlYWlpiZmbGu+++S2FhIQDR0dG0bNmyTJ6tW7cmIiKi3Ge4c+cOAQEB6OvrY2lpyUcffVRp24Pydi/funULlUpFcnIy2dnZvPLKKwCYmpqiUqkICgoCYMeOHbz88suYmJhgZmZG3759ycrKKhN7/fr1eHl5oaOjw4oVKzAyMuLLL79Uy2Pz5s3o6+tX2Arhxx9/pG/fvhgZGWFoaEjnzp2Ve6WmptKjRw/q16+PsbExXl5eHD9+XG2+SqVi2bJlvP766+jr6zN79mwiIyNp3bo1a9euxdbWFmNjYwYPHqyWw+Nr17VrVy5dusT48eNRqVSoVCqgbMuI6sQtLi5m7ty52NnZoaurS6tWrcqsyZM2bNhAq1ataNSokXLu//7v/5g5cyYdO3akWbNmjB07lp49e7Jx40a1uT4+PiQlJVUaXwghhBBCCCGEeBFIQVgIUaWioiKSkpK4e/cunp6eVY6fMWMG06ZN4/jx42hqajJkyBAmTZpEbGws+/fv58KFC0yfPl0Zn5iYyPTp05k9ezaZmZnMmTOHiIgIEhISADhy5AgAu3fvJjc3V61Yt3fvXrKysti7dy8JCQnEx8cTHx8PQEhICJmZmaSmpirj09LSOHnyJMHBweXmPmHCBFJSUtiyZQu7du1i//79ZYqjNWFjY8NXX30FPOpfm5ubS2xsLAB3795lwoQJHD16lD179lCnTh369+9PcXGxWowpU6YwduxYMjMzGTBgAIMHDyYuLk5tTFxcHAMHDlRaITzul19+oUuXLmhra/O///2PY8eOERISwsOHD4FHRfDAwEAOHDjA4cOHsbe3p3fv3mWKy5GRkfTv359Tp04REhICQFZWFps3b+bbb7/l22+/Zd++fcTExJS7Fhs3bsTa2pro6Ghyc3PJzc2tcN2qijt37lzWrFnDf//7X3788UfGjx/PW2+9xb59+yqMuX//fjw8PCq8XiovL6/Mzub27dvz888/k52dXeG8goICbt++rXYIIYQQQgghhBDPG2kZIYSo0KlTp/D09OT+/fsYGBiwadMmWrRoUeW88PBwvL29ARg7diz+/v7s2bOHTp06ARAaGqoUbeFRAXnBggUMGDAAeLQjOCMjg+XLlxMYGEiDBg0AMDMzo2HDhmr3MjU1ZcmSJWhoaODk5ESfPn3Ys2cPw4cPx9raGm9vb+Li4mjXrh3wqHDq5eVF06ZNy+R9584dEhISWLduHd26dVPGW1lZ1XDl/n8aGhpKcdHc3FxtJ+wbb7yhNnb16tU0aNCAjIwMtZ3N48aNU9YGICwsjI4dO5Kbm4ulpSVXr15l27Zt7N69u9wcPvnkE4yNjUlKSlLaPDg4OCjXX331VbXxK1aswMTEhH379iltEwCGDBlSppBeXFxMfHy8UogeOnQoe/bsYfbs2WXyqFevHhoaGhgaGpb5HJ9UWdyCggLmzJnD7t27lV9QNG3alAMHDrB8+XK8vLzKjXnp0qUqC8IbNmwgNTWV5cuXq50v/TNw6dIlbG1ty507d+5coqKiKo0vhBBCCCGEEELUNtkhLISokKOjI+np6fzwww+MHDmSwMBAMjIyABgxYgQGBgbK8Tg3NzfltYWFBQCurq5q565evQo82iWblZVFaGioWrxZs2aptU+oiIuLCxoaGsr70gJpqeHDh/P5559z//59Hjx4wLp165TdrU+6ePEihYWFtG/fXjlnbGyMo6NjlXn8GefPn8ff35+mTZtiZGSkFBpzcnLUxj1ZxGzfvj0uLi7KDurPPvuMJk2a0KVLl3Lvk56eTufOnSvs+fvbb78xfPhw7O3tMTY2xsjIiPz8/CrzgEdfEvf4ruQn1//PqizuhQsXuHfvHj169FD7M7NmzZpK/8z88ccf6OjoVHh97969BAcHs3LlyjJ9skt7HN+7d6/C+VOnTiUvL085Ll++XK1nFUIIIYQQQgghniXZISyEqJCWlhbNmzcHoG3btqSmphIbG8vy5cuJjo4mPDy83HmPFx5L+8Q+ea60LUJ+fj4AK1eupEOHDmpxHi/0VuTJIufjseFR71dtbW02bdqElpYWhYWFDBw4sMq41VWnzqPfq5WUlCjnSnsYV8XHx4cmTZqwcuVKrKysKC4upmXLljx48EBtnL6+fpm5YWFhfPLJJ0yZMoW4uDiCg4OVtX5SVV/YFhgYyPXr14mNjaVJkyZoa2vj6elZrTyqWv8/q7K4pX9mtm7dqtYPGEBbW7vCmPXr1+fmzZvlXtu3bx8+Pj589NFHDBs2rMz1GzduACi71cujra1d6f2FEEIIIYQQQojngRSEhRDVVlxcTEFBAfCo/YG5uflfjmlhYYGVlRUXL14kICCg3DFaWlrAo17GNaWpqUlgYCBxcXFoaWkxePDgCgukTZs2pW7duqSmptK4cWPgUT/Zc+fOVbj7trRAmJubi7u7O4DaF8xVlP/169c5e/YsK1eupHPnzgAcOHCg2s/11ltvMWnSJBYvXkxGRgaBgYEVjnVzcyMhIYHCwsJydwmnpKSwdOlSevfuDcDly5f5/fffq51LTWhpaf2pz/FxLVq0QFtbm5ycnArbQ5TH3d1d2eH+uOTkZPr27csHH3zA22+/Xe7c06dPU7du3TI7h4UQQgghhBBCiBeNFISFEOWaOnUqvXr1onHjxty5c4d169aRnJzMzp07n/q9oqKiGDNmDMbGxvTs2ZOCggKOHj3KzZs3mTBhAubm5ujq6rJjxw6sra3R0dHB2Ni42vHDwsJwdnYGHhU/K2JoaEhgYCATJ06kXr16mJubM2PGDOrUqVPp7tuXXnqJmJgY7OzsuHr1KtOmTVMb06RJE1QqFd9++y29e/dGV1cXU1NTzMzMWLFiBZaWluTk5DBlypRqP5OpqSkDBgxg4sSJvPbaa1hbW1c4dvTo0Xz88ccMHjyYqVOnYmxszOHDh2nfvj2Ojo7Y29uzdu1aPDw8uH37NhMnTqxyV/GfZWtry/fff8/gwYPR1tamfv36NY5haGhIeHg448ePp7i4mJdffpm8vDxSUlIwMjKqsDju7e1NWFgYRUVFyu7zvXv30rdvX8aOHcsbb7zBlStXgEeF68e/WG7//v107tz5b1sXIYR4VrJj+tR2CkIIIYQQopZJD2EhRLmuXr3KsGHDcHR0pFu3bqSmprJz50569Ojx1O8VFhbGqlWriIuLw9XVFS8vL+Lj47GzswMe7fJdvHgxy5cvx8rKCl9f3xrFt7e3p2PHjjg5OZVpS/GkhQsX4unpSd++fenevTudOnXC2dm50t6zq1ev5uHDh7Rt25Zx48Yxa9YsteuNGjUiKiqKKVOmYGFhwejRo6lTpw5JSUkcO3aMli1bMn78eD788MMaPVdoaCgPHjyosCdyKTMzM/73v/+Rn5+Pl5cXbdu2ZeXKlcpu4U8//ZSbN2/Spk0bhg4dypgxY57K7u/yREdHk52dTbNmzSptv1CVmTNnEhERwdy5c3F2dqZnz55s3bpV+TNTnl69eqGpqan25XsJCQncu3ePuXPnYmlpqRyPf4kfQFJSEsOHD//T+QohhBBCCCGEEM8LVcnjjS+FEOIfqKSkBHt7e0aNGsWECRNqNPfu3bs0atSIBQsWEBoa+jdl+OesXbuW8ePH8+uvvyptKUTlPvnkE7Zs2VKjne7bt2/nvffe4+TJk2hqVv8/1ty+fRtjY2Py8vIwMjL6M+kKIYQQQgghhBDVVt2fQ6VlhBDiH+3atWskJSVx5coVgoODqxyflpbGmTNnaN++PXl5eURHRwPUeFfy3+nevXvk5uYSExPDO++8I8XgGnjnnXe4desWd+7cwdDQsFpz7t69S1xcXI2KwUIIIYQQQgghxPNKfroVQvyjmZubU79+fVasWIGpqWm15syfP5+zZ8+ipaVF27Zt2b9//5/qdft3mTdvHrNnz6ZLly5MnTq1ttN5oWhqavL+++/XaM7AgQP/pmyEEEIIIYQQQohnT1pGCCHEcygoKIhbt26xefPmZxrD1taWcePGMW7cuD99X/GItIwQQgghhBBCCPEsVffnUPlSOSHEv9KyZctwc3PDyMgIIyMjPD092b59+zPPIzs7G5VKRXp6+jO/99OQnJyMSqXi1q1btZ3KnxIUFES/fv1qOw0hhBBCCCGEEOKZkZYRQoh/JWtra2JiYrC3t6ekpISEhAR8fX1JS0vDxcWlttMTQggh/hLbKVvLPZ8d0+cZZyKEEEIIIZ43skNYCPGv5OPjQ+/evbG3t8fBwYHZs2djYGDA4cOHyx1fupN3w4YNdO7cGV1dXdq1a8e5c+dITU3Fw8MDAwMDevXqxbVr19Tmrlq1CmdnZ3R0dHBycmLp0qXKNTs7OwDc3d1RqVR07dpVbe78+fOxtLTEzMyMd999l8LCQgCio6Np2bJlmTxbt25NREREuc9w584dAgIC0NfXx9LSko8++oiuXbtW2B6ivN3Lt27dQqVSkZycTHZ2Nq+88goApqamqFQqgoKCANixYwcvv/wyJiYmmJmZ0bdvX7KystTi//zzz/j7+1OvXj309fXx8PDghx9+UK4vW7aMZs2aoaWlhaOjI2vXrlWbr1KpWLVqFf3790dPTw97e3u2bNmiXC8qKiI0NBQ7Ozt0dXVxdHQkNjZWuR4ZGUlCQgJff/01KpVKeS6Ay5cv4+fnh4mJCfXq1cPX15fs7Oxy10kIIYQQQgghhHiRSEFYCPGvV1RURFJSEnfv3sXT07PSsTNmzGDatGkcP34cTU1NhgwZwqRJk4iNjWX//v1cuHCB6dOnK+MTExOZPn06s2fPJjMzkzlz5hAREUFCQgIAR44cAWD37t3k5uayceNGZe7evXvJyspi7969JCQkEB8fT3x8PAAhISFkZmaSmpqqjE9LS+PkyZMEBweXm/uECRNISUlhy5Yt7Nq1i/3793P8+PE/tWYANjY2fPXVVwCcPXuW3NxcpeB69+5dJkyYwNGjR9mzZw916tShf//+FBcXA5Cfn4+Xlxe//PILW7Zs4cSJE0yaNEm5vmnTJsaOHct7773H6dOneeeddwgODmbv3r1qOURFReHn58fJkyfp3bs3AQEB3LhxA4Di4mKsra354osvyMjIYPr06fzf//0fGzZsACA8PBw/Pz969uxJbm4uubm5dOzYkcLCQry9vTE0NGT//v2kpKRgYGBAz549efDgQYXrUVBQwO3bt9UOIYQQQgghhBDieSMtI4QQ/1qnTp3C09OT+/fvY2BgwKZNm2jRokWlc8LDw/H29gZg7Nix+Pv7s2fPHjp16gRAaGioUrSFRwXkBQsWMGDAAODRjuCMjAyWL19OYGAgDRo0AMDMzIyGDRuq3cvU1JQlS5agoaGBk5MTffr0Yc+ePQwfPhxra2u8vb2Ji4ujXbt2AMTFxeHl5UXTpk3L5H3nzh0SEhJYt24d3bp1U8ZbWVn9iZV7RENDg3r16gFgbm6OiYmJcu2NN95QG7t69WoaNGhARkYGLVu2ZN26dVy7do3U1FQlRvPmzZXx8+fPJygoiFGjRgGPitmHDx9m/vz5yq5keNQD2N/fH4A5c+awePFijhw5Qs+ePalbty5RUVHKWDs7Ow4dOsSGDRvw8/PDwMAAXV1dCgoK1Nb+s88+o7i4mFWrVqFSqZS1MjExITk5mddee63c9Zg7d67a/YQQQgghhBBCiOeR7BAWQvxrOTo6kp6ezg8//MDIkSMJDAwkIyODESNGYGBgoByPc3NzU15bWFgA4Orqqnbu6tWrwKNdsllZWYSGhqrFmzVrVpn2CeVxcXFBQ0NDeW9paanEBhg+fDiff/459+/f58GDB6xbt46QkJByY128eJHCwkLat2+vnDM2NsbR0bHKPP6M8+fP4+/vT9OmTTEyMsLW1haAnJwcANLT03F3d1eKwU/KzMxUiuylOnXqRGZmptq5xz8PfX19jIyM1Nbok08+oW3btjRo0AADAwNWrFih5FCREydOcOHCBQwNDZXPrF69ety/f7/Sz23q1Knk5eUpx+XLlyu9jxBCCCGEEEIIURtkh7AQ4l9LS0tL2ZXatm1bUlNTiY2NZebMmYSHh5c7p27dusrr0t2jT557vC0CwMqVK+nQoYNanMcLvRV5PO6TseFRH2RtbW02bdqElpYWhYWFDBw4sMq41VWnzqPfGZaUlCjnSnsYV8XHx4cmTZqwcuVKrKysKC4upmXLlkrLBV1d3aeSY2VrlJSURHh4OAsWLMDT0xNDQ0M+/PBDtT7F5cnPz6dt27YkJiaWuVa6o7s82traaGtr/4mnEEIIIYQQQgghnh0pCAshxP+nuLiYgoICzM3NMTc3/8vxLCwssLKy4uLFiwQEBJQ7RktLC3jUx7imNDU1CQwMJC4uDi0tLQYPHlxhobVp06bUrVuX1NRUGjduDEBeXh7nzp2jS5cu5c4pLX7m5ubi7u4OoPYFcxXlf/36dc6ePcvKlSvp3LkzAAcOHFCb5+bmxqpVq7hx40a5u4SdnZ1JSUkhMDBQOZeSklJlS4/HpaSk0LFjR6XtBFBmh6+WllaZtW/Tpg3r16/H3NwcIyOjat9PCCGeJ9kxfWo7BSGEEEII8ZySgrAQ4l9p6tSp9OrVi8aNG3Pnzh3WrVtHcnIyO3fufKr3iYqKYsyYMRgbG9OzZ08KCgo4evQoN2/eZMKECZibm6Orq8uOHTuwtrZGR0cHY2PjascPCwvD2dkZeFQArYihoSGBgYFMnDiRevXqYW5uzowZM6hTp46y0/lJurq6vPTSS8TExGBnZ8fVq1eZNm2a2pgmTZqgUqn49ttv6d27N7q6upiammJmZsaKFSuwtLQkJyeHKVOmqM3z9/dnzpw59OvXj7lz52JpaUlaWhpWVlZ4enoyceJE/Pz8cHd3p3v37nzzzTds3LiR3bt3V3tt7O3tWbNmDTt37sTOzo61a9eSmpqKnZ2dMsbW1padO3dy9uxZzMzMMDY2JiAggA8//BBfX1+io6Oxtrbm0qVLbNy4kUmTJmFtbV3tHIQQQgghhBBCiOeN9BAWQvwrXb16lWHDhuHo6Ei3bt1ITU1l586d9OjR46neJywsjFWrVhEXF4erqyteXl7Ex8crRUlNTU0WL17M8uXLsbKywtfXt0bx7e3t6dixI05OTmXaUjxp4cKFeHp60rdvX7p3706nTp1wdnZGR0enwjmrV6/m4cOHtG3blnHjxjFr1iy1640aNSIqKoopU6ZgYWHB6NGjqVOnDklJSRw7doyWLVsyfvx4PvzwQ7V5WlpafPfdd5ibm9O7d29cXV2JiYlRWmn069eP2NhY5s+fj4uLC8uXLycuLo6uXbtWe23eeecdBgwYwKBBg+jQoQPXr19X2y0Mj/owOzo64uHhQYMGDUhJSUFPT4/vv/+exo0bM2DAAJydnQkNDeX+/fuyY1gIIYQQQgghxAtPVfJ4c0ghhBAvlJKSEuzt7Rk1ahQTJkyo0dy7d+/SqFEjFixYQGho6N+U4b/X7du3MTY2Ji8vTwrJQgghhBBCCCH+dtX9OVRaRgghxAvq2rVrJCUlceXKFYKDg6scn5aWxpkzZ2jfvj15eXlER0cD1HhXshBCCCGEEEIIIV5cUhAWQoinKCgoiFu3brF58+a/PYa5uTn169dnxYoVmJqaViv2/PnzOXv2LFpaWrRt25b9+/dTv379P53r3+FprKEQQgghhBBCCCHKJz2EhRAvlGXLluHm5oaRkRFGRkZ4enqyffv2Z55HdnY2KpWK9PT0Z37vwsJCJk+eTMuWLbl37x7h4eEMGzaMX3/9tdJ57u7uHDt2jPz8fG7cuMGuXbtwdXV9Rlk/n2xtbVm0aFFtpyGEEEIIIYQQQjwzskNYCPFCsba2JiYmBnt7e0pKSkhISMDX15e0tDRcXFxqO71n4t69exw/fpyIiAhatWrFzZs3GTt2LK+//jpHjx6t7fRqXUlJCUVFRWhqyj9xQgjxJNspW2s7BSEU2TF9ajsFIYQQ4l9JdggLIV4oPj4+9O7dG3t7exwcHJg9ezYGBgYcPny43PGlO3k3bNhA586d0dXVpV27dpw7d47U1FQ8PDwwMDCgV69eXLt2TW3uqlWrcHZ2RkdHBycnJ5YuXapcs7OzAx7tulWpVHTt2lVt7vz587G0tMTMzIx3332XwsJCAKKjo2nZsmWZPFu3bk1ERES11sDY2Jhdu3bh5+eHo6MjL730EkuWLOHYsWPk5ORUOjcnJwdfX18MDAwwMjLCz8+P3377DYAzZ86gp6fHunXrlPEbNmxAV1eXjIyMKuefO3cOlUrFmTNn1O750Ucf0axZMwCKiooIDQ3Fzs4OXV1dHB0diY2NrTTn4uJi5s6dq8xp1aoVX375pXI9OTkZlUrF9u3badu2Ldra2hw4cICsrCx8fX2xsLDAwMCAdu3asXv3bmVe165duXTpEuPHj0elUqFSqZRrBw4cUP682NjYMGbMGO7evVtpnkIIIYQQQgghxItACsJCiBdWUVERSUlJ3L17F09Pz0rHzpgxg2nTpnH8+HE0NTUZMmQIkyZNIjY2lv3793PhwgWmT5+ujE9MTGT69OnMnj2bzMxM5syZQ0REBAkJCQAcOXIEgN27d5Obm8vGjRuVuXv37iUrK4u9e/eSkJBAfHw88fHxAISEhJCZmUlqaqoyPi0tjZMnT1bri+EqkpeXh0qlwsTEpMIxxcXF+Pr6cuPGDfbt28euXbu4ePEigwYNAsDJyYn58+czatQocnJy+PnnnxkxYgQffPABLVq0qHK+g4MDHh4eJCYmqt03MTGRIUOGKDlYW1vzxRdfkJGRwfTp0/m///s/NmzYUGHec+fOZc2aNfz3v//lxx9/ZPz48bz11lvs27dPbdyUKVOIiYkhMzMTNzc38vPz6d27N3v27CEtLY2ePXvi4+OjFM03btyItbU10dHR5ObmkpubC0BWVhY9e/bkjTfe4OTJk6xfv54DBw4wevTomn0oQgghhBBCCCHEc0hVUlJSUttJCCFETZw6dQpPT0/u37+PgYEB69ato3fv3uWOzc7Oxs7OjlWrVhEaGgpAUlIS/v7+7Nmzh1dffRWAmJgY4uPjld2tzZs3Z+bMmfj7+yuxZs2axbZt2zh48KASNy0tjdatWytjgoKCSE5OJisrCw0NDQD8/PyoU6cOSUlJAPTu3RtbW1tlx/GYMWM4deoUe/fuVWLU5EvV7t+/T6dOnXBycipTjH3crl276NWrFz/99BM2NjYAZGRk4OLiwpEjR2jXrh0Affv25fbt22hpaaGhocGOHTtQqVTVmr9o0SKWLFnChQsXgEe7hh0dHcnMzMTJyancvEaPHs2VK1eUXb+PP39BQQH16tVj9+7dakX/sLAw7t27x7p160hOTuaVV15h8+bN+Pr6VrpWLVu2ZMSIEUpx19bWlnHjxjFu3Di12BoaGixfvlw5d+DAAby8vLh79y46Ojrlxi4oKKCgoEB5f/v2bWxsbMjLy8PIyKjSvIQQ4lmRlhHieSItI4QQQoin6/bt2xgbG1f5c6jsEBZCvHAcHR1JT0/nhx9+YOTIkQQGBpKRkcGIESMwMDBQjse5ubkpry0sLADUvlDNwsKCq1evAnD37l2ysrIIDQ1Vizdr1iyysrKqzM/FxUUpBgNYWloqsQGGDx/O559/zv3793nw4AHr1q0jJCSk3FiJiYlqOezfv1/temFhIX5+fpSUlLBs2TLlfK9evZQ5pb2VMzMzsbGxUYq5AC1atMDExITMzEzl3OrVqzl58iTHjx8nPj5eaaVQnfmDBw8mOztbaeGRmJhImzZt1IrBn3zyCW3btqVBgwYYGBiwYsWKCltdXLhwgXv37tGjRw+1dVizZk2Zz8LDw0PtfX5+PuHh4Tg7O2NiYoKBgQGZmZlVttU4ceIE8fHxavfz9vamuLiYn376qcJ5c+fOxdjYWDkeXychhBBCCCGEEOJ5Id+4I4R44WhpadG8eXMA2rZtS2pqKrGxscycOZPw8PBy59StW1d5XVrgfPJccXEx8KiQCLBy5Uo6dOigFufxQm9FHo/7ZGx41AdZW1ubTZs2oaWlRWFhIQMHDiw31uuvv66WQ6NGjZTXpcXgS5cu8b///U/tt3+rVq3ijz/+KDefqpw4cYK7d+9Sp04dcnNzsbS0rPbchg0b8uqrr7Ju3Tpeeukl1q1bx8iRI5XrSUlJhIeHs2DBAjw9PTE0NOTDDz/khx9+KDde6WexdetWtWcH0NbWVnuvr6+v9j48PJxdu3Yxf/58mjdvjq6uLgMHDuTBgweVPkN+fj7vvPMOY8aMKXOtcePGFc6bOnUqEyZMUN6X7hAWQgghhBBCCCGeJ1IQFkK88IqLiykoKMDc3Bxzc/O/HM/CwgIrKysuXrxIQEBAuWO0tLSAR32Ma0pTU5PAwEDi4uLQ0tJi8ODB6OrqljvW0NAQQ0PDMudLi8Hnz59n7969mJmZqV1/sngK4OzszOXLl7l8+bJay4dbt27RokULAG7cuEFQUBDvv/8+ubm5BAQEcPz4cXR1das1HyAgIIBJkybh7+/PxYsXGTx4sHItJSWFjh07MmrUKOVcZbuuW7Rogba2Njk5OXh5eVU4rjwpKSkEBQXRv39/4FGhNzs7W22MlpZWmc+wTZs2ZGRkKL90qC5tbe0yRWohhBBCCCGEEOJ5IwVhIcQLZerUqfTq1YvGjRtz584dpYfszp07n+p9oqKiGDNmDMbGxvTs2ZOCggKOHj3KzZs3mTBhAubm5ujq6rJjxw6sra3R0dHB2Ni42vHDwsJwdnYGHhUua6J0R/Hx48f59ttvKSoq4sqVKwDUq1dPKVY/qXv37ri6uhIQEMCiRYt4+PAho0aNwsvLS2m3MGLECGxsbJg2bRoFBQW4u7sTHh7OJ598Uq35AAMGDGDkyJGMHDmSV155BSsrK+Wavb09a9asYefOndjZ2bF27VpSU1Oxs7MrN2dDQ0PCw8MZP348xcXFvPzyy+Tl5ZGSkoKRkRGBgYEVrpO9vT0bN27Ex8cHlUpFRESE2k5teNRD+Pvvv2fw4MFoa2tTv359Jk+ezEsvvcTo0aMJCwtDX1+fjIwMdu3axZIlS6r3IQkhxHNKerYKIYQQQgjpISyEeKFcvXqVYcOG4ejoSLdu3UhNTWXnzp306NHjqd4nLCyMVatWERcXh6urK15eXsTHxyuFS01NTRYvXszy5cuxsrKq8svMnmRvb0/Hjh1xcnIq05aiKr/88gtbtmzh559/pnXr1lhaWirHwYMHK5ynUqn4+uuvMTU1pUuXLnTv3p2mTZuyfv16ANasWcO2bdtYu3Ytmpqa6Ovr89lnn7Fy5Uq2b99e5fxShoaG+Pj4cOLEiTI7rN955x0GDBjAoEGD6NChA9evX1fbLVyemTNnEhERwdy5c3F2dqZnz55s3bq1wiJyqYULF2JqakrHjh3x8fHB29ubNm3aqI2Jjo4mOzubZs2a0aBBA+BRv+l9+/Zx7tw5OnfujLu7O9OnT1crbAshhBBCCCGEEC8qVUlJSUltJyGEEP82JSUl2NvbM2rUKLW+s+Kfo7rf7iqEEEIIIYQQQjwN1f05VFpGCCHEM3bt2jWSkpK4cuUKwcHBtZ2OEEIIIYQQQggh/kWkICyEEM+Yubk59evXZ8WKFZiamtZ2OkIIIYQQQgghhPgXkR7CQgjxFAQFBdGvX79qjS0pKeHatWsMGTLkT8d43kRGRtK6devaTkMIIYQQQgghhBBVkIKwEOKFsGzZMtzc3DAyMsLIyAhPT0+2b9/+zPPIzs5GpVKRnp7+zO9dWFjI5MmTcXV1RV9fHysrK4YNG8avv/76zHP5u9ja2rJo0aJndr+uXbsybty4Z3Y/IYQQQgghhBCitknLCCHEC8Ha2pqYmBjs7e0pKSkhISEBX19f0tLScHFxqe30nol79+5x/PhxIiIiaNWqFTdv3mTs2LG8/vrrHD16tLbTe64UFhZSt27d2k5DCCGeO7ZTttZ2CqKWZcf0qe0UhBBCCFHLZIewEOKF4OPjQ+/evbG3t8fBwYHZs2djYGDA4cOHyx1fupN3w4YNdO7cGV1dXdq1a8e5c+dITU3Fw8MDAwMDevXqxbVr19Tmrlq1CmdnZ3R0dHBycmLp0qXKNTs7OwDc3d1RqVR07dpVbe78+fOxtLTEzMyMd999l8LCQgCio6Np2bJlmTxbt25NREREtdbA2NiYXbt24efnh6OjIy+99BJLlizh2LFj5OTkVDo3JycHX19fDAwMMDIyws/Pj99++w2AM2fOoKenx7p165TxGzZsQFdXl4yMjCrnP2758uXY2Nigp6eHn58feXl5yrXyduP269ePoKAg5fqlS5cYP348KpUKlUrF3bt3MTIy4ssvv1Sbt3nzZvT19blz547yWa9fvx4vLy90dHRITEzk+vXr+Pv706hRI/T09HB1deXzzz9XYgQFBbFv3z5iY2OV+2VnZwNw+vRpevXqhYGBARYWFgwdOpTff/+98g9ICCGEEEIIIYR4AUhBWAjxwikqKiIpKYm7d+/i6elZ6dgZM2Ywbdo0jh8/jqamJkOGDGHSpEnExsayf/9+Lly4wPTp05XxiYmJTJ8+ndmzZ5OZmcmcOXOIiIggISEBgCNHjgCwe/ducnNz2bhxozJ37969ZGVlsXfvXhISEoiPjyc+Ph6AkJAQMjMzSU1NVcanpaVx8uRJgoOD//Ra5OXloVKpMDExqXBMcXExvr6+3Lhxg3379rFr1y4uXrzIoEGDAHBycmL+/PmMGjWKnJwcfv75Z0aMGMEHH3xAixYtqpxf6sKFC2zYsIFvvvmGHTt2kJaWxqhRo6r9LBs3bsTa2pro6Ghyc3PJzc1FX1+fwYMHExcXpzY2Li6OgQMHYmhoqJybMmUKY8eOJTMzE29vb+7fv0/btm3ZunUrp0+f5u2332bo0KHKZxgbG4unpyfDhw9X7mdjY8OtW7d49dVXcXd35+jRo+zYsYPffvsNPz+/aj+LEEIIIYQQQgjxvJKWEUKIF8apU6fw9PTk/v37GBgYsGnTJlq0aFHpnPDwcLy9vQEYO3Ys/v7+7Nmzh06dOgEQGhqqFG3hUQF5wYIF/D/27jyqqnp9/Pj7iDLIJCoICorKICKTgqXmPOBEouaICgIWJpkpDuSQ4ACOqZlWloAmYuaY4ze54UAOqKAW5EAhdcWLOYBoAsL5/eFi/zwyWiZaz2utvRZn78/w7M8+97Z4/PDsQYMGAY92BKempvLpp5/i6+uLqakpAPXq1cPc3FxjLhMTE1avXo2WlhYtWrSgX79+xMfHM27cOCwtLfH09CQqKgoPDw/gUVKzc+fONGvW7E+tx4MHD5g+fTojRozAyMio3Hbx8fFcuHCBX375BSsrKwA2bNiAo6MjSUlJeHh48Pbbb7Nv3z5GjRqFtrY2Hh4evPPOO1XuXxLPhg0baNSoEQAfffQR/fr1Y9myZaXWqix169ZFS0sLQ0NDjfaBgYG0b9+erKwsLCwsyM7OZt++fRw6dEij/6RJk5TnViIkJET5+Z133uHgwYN89dVXtG3bFmNjY7S1taldu7bGfKtXr8bNzY2FCxcq59avX4+VlRWXLl3Czs6uzPjz8/PJz89XPufm5lZ6z0IIIYQQQgghxPMmO4SFEC8Ne3t7UlJSOHnyJOPHj8fX15fU1FSCgoIwMDBQjsc5OzsrPzdo0AAAJycnjXPZ2dkA3Lt3j/T0dAICAjTGmz9/Punp6ZXG5+joiJaWlvK5JHlZYty4cWzevJkHDx5QUFBAbGws/v7+ZY61adMmjRiOHj2qcb2wsJChQ4eiVqtZu3atcr6kzIGBgYFSWzktLQ0rKyslmQvQsmVL6tSpQ1pamnJu/fr1nD9/nrNnzxIdHY1KpXqq/o0bN1aSwQDt2rWjuLiYixcvVrp2FWnbti2Ojo7KLu0vv/ySJk2a0KlTJ4127u7uGp+LioqYN28eTk5O1K1bFwMDAw4ePFhpeY1z587x3Xffaax/ixYtACr8HkRERGBsbKwcj6+XEEIIIYQQQgjxopAdwkKIl4a2tjY2NjYAtGnThqSkJFauXMm8efM0doI+7vEXi5UkOJ88V1xcDEBeXh4A69at45VXXtEY5/FEb3mefInZ42PDozrIOjo67NixA21tbQoLC3njjTfKHOv111/XiOHxRGtJMvjq1av85z//0dgd/Pnnn/PHH3+UGU9lzp07x71796hRo4ayG/dZqlGjBmq1WuNcSY3lygQGBvLxxx8zY8YMoqKiGDt2rPI8S+jr62t8XrJkCStXrmTFihU4OTmhr6/PpEmTKCgoqHCuvLw8vLy8WLRoUalrFa1JaGgokydPVj7n5uZKUlgIIYQQQgghxAtHEsJCiJdWcXEx+fn5mJmZYWZm9pfHa9CgAQ0bNuTnn3/Gx8enzDba2trAo92nT6tmzZr4+voSFRWFtrY2w4cPR09Pr8y2hoaGGvVxS5Qkgy9fvsx3331HvXr1NK4/njgu4eDgwK+//sqvv/6qJChTU1O5c+eOUnLj1q1b+Pn5MXPmTLKysvDx8eHs2bPo6elVqT88evHctWvXaNiwIQAnTpygRo0a2NvbA2BqakpWVpbSvqioiB9++IGuXbsq57S1tctc21GjRjFt2jRWrVpFamoqvr6+Za7b4xITExkwYACjRo0CHn1fLl26pBFzWfO1bt2abdu2YW1tTc2aVf/PpI6ODjo6OlVuL4QQQgghhBBCVAdJCAshXgqhoaH06dOHxo0bc/fuXWJjY0lISODgwYPPdJ6wsDAmTpyIsbExvXv3Jj8/n9OnT3P79m0mT56MmZkZenp6HDhwAEtLS3R1dTE2Nq7y+IGBgTg4OACPEpZPo2RH8dmzZ9mzZw9FRUVcv34deFR/tyRZ/aQePXrg5OSEj48PK1as4OHDh7z99tt07txZKbMQFBSElZUVs2bNIj8/Hzc3N0JCQvj444+r1B9AV1cXX19fli5dSm5uLhMnTmTo0KFKfd5u3boxefJk9u7dS/PmzVm+fDl37tzRiNXa2pojR44wfPhwdHR0qF+/PvCoPvOgQYOYOnUqvXr1wtLSstL1srW15euvv+b777/HxMSE5cuX87///U8jIWxtbc3JkyfJyMjAwMCAunXrMmHCBNatW8eIESOYNm0adevW5cqVK8TFxfH5559Xabe4EEK8qDIi+1V3CEIIIYQQoppJDWEhxEshOzubMWPGYG9vT/fu3UlKSuLgwYP07Nnzmc4TGBjI559/TlRUFE5OTnTu3Jno6GiaNm0KPNrlu2rVKj799FMaNmzIgAEDnmp8W1tb2rdvT4sWLUqVpajMf//7X3bv3s1vv/2Gq6srFhYWyvH999+X20+lUrFr1y5MTEzo1KkTPXr0oFmzZmzZsgV49IK4ffv2sXHjRmrWrIm+vj5ffvkl69atY//+/ZX2L2FjY8OgQYPo27cvvXr1wtnZmTVr1ijX/f398fX1ZcyYMcrL9B7fHQwQHh5ORkYGzZs3V17gVyIgIICCgoJy6y4/adasWbRu3RpPT0+6dOmCubk53t7eGm1CQkLQ0tKiZcuWmJqakpmZScOGDUlMTKSoqIhevXrh5OTEpEmTqFOnDjVqyH82hRBCCCGEEEK83FTqJws6CiGE+Nuo1WpsbW15++23NerNispt3LiR9957j2vXrpW7G/pFkpubi7GxMTk5ORp1noUQQgghhBBCiL9DVX8PlZIRQgjxnNy4cYO4uDiuX7/O2LFjqzucl8b9+/fJysoiMjKSt95666VIBgshhBBCCCGEEC8q+dtXIYR4TszMzAgPD+ezzz7DxMSkusN5aSxevJgWLVpgbm5OaGhodYcjhBBCCCGEEEK81KRkhBBC/IP4+flx584ddu7cWd2hvBCio6OZNGlSqZfXPQ9SMkIIIYQQQgghxPNU1d9DZYewEEI8hbVr1+Ls7IyRkRFGRka0a9eO/fv3P/c4MjIyUKlUpKSkPPe5K5OQkIBKpaqWJOyThg0bxqVLl6o7DCGEEEIIIYQQ4oUhNYSFEOIpWFpaEhkZia2tLWq1mpiYGAYMGEBycjKOjo7VHd4/SkFBwV+uF6ynp4eent4zikgIIV5+1jP2VncI/zoZkf2qOwQhhBBCCA2yQ1gIIZ6Cl5cXffv2xdbWFjs7OxYsWICBgQEnTpwos33JTt6vvvqKjh07oqenh4eHB5cuXSIpKQl3d3cMDAzo06cPN27c0Oj7+eef4+DggK6uLi1atGDNmjXKtaZNmwLg5uaGSqWiS5cuGn2XLl2KhYUF9erVY8KECRQWFirXbt++zZgxYzAxMaF27dr06dOHy5cvA49efGdubs7ChQuV9t9//z3a2trEx8eTkZFBjRo1OH36tMZ8K1asoEmTJvz888907doVABMTE1QqFX5+fmzYsIF69eqRn5+v0c/b25vRo0cDMHfuXFxdXfn8889p2rQpurq6AGRmZjJgwAAMDAwwMjJi6NCh/O9//1PGOHfuHF27dsXQ0BAjIyPatGmjxBcdHU2dOnWUtiVzbNy4EWtra4yNjRk+fDh3795V2hQXFxMREUHTpk3R09PDxcWFr7/+usznK4QQQgghhBBCvGwkISyEEH9SUVERcXFx3Lt3j3bt2lXY9oMPPmDWrFmcPXuWmjVrMnLkSKZNm8bKlSs5evQoV65cYc6cOUr7TZs2MWfOHBYsWEBaWhoLFy5k9uzZxMTEAHDq1CkADh06RFZWFtu3b1f6fvfdd6Snp/Pdd98RExNDdHQ00dHRynU/Pz9Onz7N7t27OX78OGq1mr59+1JYWIipqSnr169n7ty5nD59mrt37zJ69GiCg4Pp3r071tbW9OjRg6ioKI37i4qKws/PjyZNmrBt2zYALl68SFZWFitXrmTIkCEUFRWxe/dupU92djZ79+7F399fOXflyhW2bdvG9u3bSUlJobi4mAEDBnDr1i0OHz7Mt99+y88//8ywYcOUPj4+PlhaWpKUlMSZM2eYMWMGtWrVKvdZpKens3PnTvbs2cOePXs4fPgwkZGRyvWIiAg2bNjAJ598wo8//sh7773HqFGjOHz4cIXPWAghhBBCCCGEeBlIyQghhHhKFy5coF27djx48AADAwN27NhBy5YtK+wTEhKCp6cnAO+++y4jRowgPj6eDh06ABAQEKCRtP3ggw9YtmwZgwYNAh7tCE5NTeXTTz/F19cXU1NTAOrVq4e5ubnGXCYmJqxevRotLS1atGhBv379iI+PZ9y4cVy+fJndu3eTmJhI+/btgUfJZysrK3bu3MmQIUPo27cv48aNw8fHB3d3d/T19YmIiFDGDwwMJCgoiOXLl6Ojo8PZs2e5cOECu3btQktLi7p16wJgZmamsTt35MiRREVFMWTIEAC+/PJLGjdurLG7uaCggA0bNij39+2333LhwgV++eUXrKysANiwYQOOjo4kJSXh4eFBZmYmU6dOpUWLFgDY2tpW+CyKi4uJjo7G0NAQgNGjRxMfH8+CBQvIz89n4cKFHDp0SEnyN2vWjGPHjvHpp5/SuXPncsfNz8/X2AGdm5tbYRxCCCGEEEIIIUR1kB3CQgjxlOzt7UlJSeHkyZOMHz8eX19fUlNTCQoKwsDAQDke5+zsrPzcoEEDAJycnDTOZWdnA3Dv3j3S09MJCAjQGG/+/Pmkp6dXGp+joyNaWlrKZwsLC2XstLQ0atasySuvvKJcr1evHvb29qSlpSnnli5dysOHD9m6dSubNm1CR0dHuebt7Y2WlhY7duwAHpVl6Nq1K9bW1hXGNW7cOP7v//6P//73v0o/Pz8/VCqV0qZJkyZKMrgkXisrKyUZDNCyZUvq1KmjxDt58mQCAwPp0aMHkZGRla6RtbW1kgx+cn2uXLnC/fv36dmzp8bab9iwodJxIyIiMDY2Vo7HYxZCCCGEEEIIIV4UskNYCCGekra2NjY2NgC0adOGpKQkVq5cybx58wgJCSmzz+MlDEoSoE+eKy4uBiAvLw+AdevWaSRuAY1Eb3meLJfw+NhVlZ6ezrVr1yguLiYjI0Mjea2trc2YMWOIiopi0KBBxMbGsnLlykrHdHNzw8XFhQ0bNtCrVy9+/PFH9u7VfLmRvr7+U8UJj+oCjxw5kr1797J//34++OAD4uLiGDhwYJntK1qfkrXfu3cvjRo10mj3eFK8LKGhoUyePFn5nJubK0lhIYQQQgghhBAvHEkICyHEX1RcXEx+fj5mZmaYmZn95fEaNGhAw4YN+fnnn/Hx8Smzjba2NvCojvHTcHBw4OHDh5w8eVIpGXHz5k0uXryolL0oKChg1KhRDBs2DHt7ewIDA7lw4YLGvQUGBtKqVSvWrFnDw4cPldIWlcUWGBjIihUr+O9//0uPHj0qTZg6ODjw66+/8uuvvyptU1NTuXPnjkaZDjs7O+zs7HjvvfcYMWIEUVFR5SaEK9KyZUt0dHTIzMyssDxEWXR0dCpNGgshhBBCCCGEENVNEsJCCPEUQkND6dOnD40bN+bu3bvExsaSkJDAwYMHn+k8YWFhTJw4EWNjY3r37k1+fj6nT5/m9u3bTJ48GTMzM/T09Dhw4ACWlpbo6upibGxc6bi2trYMGDCAcePG8emnn2JoaMiMGTNo1KgRAwYMAGDmzJnk5OSwatUqDAwM2LdvH/7+/uzZs0cZx8HBgVdffZXp06fj7++Pnp6ecq1JkyaoVCr27NlD37590dPTU0pojBw5kpCQENatW8eGDRsqjbdHjx44OTnh4+PDihUrePjwIW+//TadO3fG3d2dP/74g6lTp/LGG2/QtGlTfvvtN5KSkhg8ePDTLjkAhoaGhISE8N5771FcXMxrr71GTk4OiYmJGBkZ4evr+6fGFUKIF0VGZL/qDkEIIYQQQlQzqSEshBBPITs7mzFjxmBvb0/37t1JSkri4MGD9OzZ85nOExgYyOeff05UVBROTk507tyZ6OhomjZtCkDNmjVZtWoVn376KQ0bNlSSuVURFRVFmzZt6N+/P+3atUOtVrNv3z5q1apFQkICK1asYOPGjRgZGVGjRg02btzI0aNHWbt2rcY4AQEBFBQU4O/vr3G+UaNGhIWFMWPGDBo0aEBwcLByzdjYmMGDB2NgYIC3t3elsapUKnbt2oWJiQmdOnWiR48eNGvWjC1btgCPSmjcvHmTMWPGYGdnx9ChQ+nTpw9hYWFVXo8nzZs3j9mzZxMREYGDgwO9e/dm7969ytoLIYQQQgghhBAvM5VarVZXdxBCCCFePvPmzWPr1q2cP3/+qfp1794dR0dHVq1a9TdF9mLIzc3F2NiYnJwcjIyMqjscIYQQQgghhBD/cFX9PVRKRgghhHgqeXl5ZGRksHr1aubPn1/lfrdv3yYhIYGEhATWrFnzN0YohBBCCCGEEEKI8khCWAghxFMJDg5m8+bNeHt7lyoXURE3Nzdu377NokWLsLe3/xsjFEIIIYQQQgghRHmkhrAQQrzgMjIyUKlUpKSk/KVx5s6di6ur61+OJzo6mvz8fLZs2YKWllaFbVUqFTt37gQe3UdOTg4hISF/OYYS1tbWrFixQvl8/fp1evbsib6+PnXq1Hlm8wghhBBCCCGEEP8UkhAWQojnaO3atTg7O2NkZISRkRHt2rVj//79FfaxsrIiKyuLVq1aPacoX14ffvghWVlZpKSkcOnSpSr1iY6OluSxEEIIIYQQQoh/DSkZIYQQz5GlpSWRkZHY2tqiVquJiYlhwIABJCcn4+joWGYfLS0tzM3Nn3OkL6f09HTatGmDra1tdYcihBAvJOsZe6s7BPE3yIjsV90hCCGEEOIlIjuEhRDiOfLy8qJv377Y2tpiZ2fHggULMDAw4MSJE+X2ebJkREJCAiqVivj4eNzd3alduzbt27fn4sWLGv0iIyNp0KABhoaGBAQE8ODBA43rxcXFhIeHY2lpiY6ODq6urhw4cAAAtVpNjx498PT0RK1WA3Dr1i0sLS2ZM2cOarUaGxsbli5dqjFmSkoKKpWKK1euVGk9vv76a5ycnNDT06NevXr06NGDe/fuAdClSxcmTZqk0d7b2xs/P78yx7K2tmbbtm1s2LABlUqltFu+fDlOTk7o6+tjZWXF22+/TV5enrKWY8eOJScnB5VKhUqlYu7cuQDk5+cTEhJCo0aN0NfX55VXXiEhIaFK9yWEEEIIIYQQQryoJCEshBDVpKioiLi4OO7du0e7du2euv/MmTNZtmwZp0+fpmbNmhovePvqq6+YO3cuCxcu5PTp01hYWLBmzRqN/itXrmTZsmUsXbqU8+fP4+npyeuvv87ly5dRqVTExMSQlJTEqlWrAAgKCqJRo0bMmTMHlUqFv78/UVFRGmNGRUXRqVMnbGxsKo0/KyuLESNG4O/vT1paGgkJCQwaNEhJQD+tpKQkevfuzdChQ8nKymLlypUA1KhRg1WrVvHjjz8SExPDf/7zH6ZNmwZA+/btWbFiBUZGRmRlZZGVlaXUOA4ODub48ePExcVx/vx5hgwZQu/evbl8+XKZ8+fn55Obm6txCCGEEEIIIYQQLxopGSGEEM/ZhQsXaNeuHQ8ePMDAwIAdO3bQsmXLpx5nwYIFdO7cGYAZM2bQr18/Hjx4gK6uLitWrCAgIICAgAAA5s+fz6FDhzR2CS9dupTp06czfPhwABYtWsR3333HihUr+Pjjj2nUqBGffvopY8aM4fr16+zbt4/k5GRq1nz0nw4/Pz/mzJnDqVOnaNu2LYWFhcTGxpbaNVyerKwsHj58yKBBg2jSpAkATk5OT70OJUxNTdHR0UFPT0+jxMbju4ytra2ZP38+QUFBrFmzBm1tbYyNjVGpVBp9MjMziYqKIjMzk4YNGwIQEhLCgQMHiIqKYuHChaXmj4iIICws7E/HL4QQQgghhBBCPA+yQ1gIIZ4ze3t7UlJSOHnyJOPHj8fX15fU1FTg0S5cAwMD5aiIs7Oz8rOFhQUA2dnZAKSlpfHKK69otH98F3Jubi7Xrl2jQ4cOGm06dOhAWlqa8nnIkCEMHDiQyMhIli5dqlGbt2HDhvTr14/169cD8M0335Cfn8+QIUOqtA4uLi50794dJycnhgwZwrp167h9+3aV+j6NQ4cO0b17dxo1aoShoSGjR4/m5s2b3L9/v9w+Fy5coKioCDs7O43ncfjwYdLT08vsExoaSk5OjnL8+uuvz/xehBBCCCGEEEKIv0oSwkII8Zxpa2tjY2NDmzZtiIiIwMXFRSlvEB4eTkpKinJUpFatWsrPKpUKeFQX+Fm6f/8+Z86cQUtLq8xSCYGBgcTFxfHHH38QFRXFsGHDqF27dpXG1tLS4ttvv2X//v20bNmSjz76CHt7e3755RfgUamHJ8tHFBYWPlX8GRkZ9O/fH2dnZ7Zt28aZM2f4+OOPASgoKCi3X15eHlpaWpw5c0bjeaSlpSnP6kk6OjoYGRlpHEIIIYQQQgghxItGEsJCCFHNiouLyc/PB8DMzAwbGxvl+LMcHBw4efKkxrnHX1xnZGREw4YNSUxM1GiTmJioUb5iypQp1KhRg/3797Nq1Sr+85//aLTv27cv+vr6rF27lgMHDmjUMa4KlUpFhw4dCAsLIzk5GW1tbXbs2AE8KgGRlZWltC0qKuKHH354qvHPnDlDcXExy5Yt49VXX8XOzo5r165ptNHW1qaoqEjjnJubG0VFRWRnZ2s8DxsbG43SEkIIIYQQQgghxMtGaggLIcRzFBoaSp8+fWjcuDF3794lNjaWhIQEDh48+Ezneffdd/Hz88Pd3Z0OHTqwadMmfvzxR5o1a6a0mTp1Kh988AHNmzfH1dWVqKgoUlJS2LRpEwB79+5l/fr1HD9+nNatWzN16lR8fX05f/48JiYmwKNdvn5+foSGhmJra/tUL8c7efIk8fHx9OrVCzMzM06ePMmNGzdwcHAAoFu3bkyePJm9e/fSvHlzli9fzp07d55qHWxsbCgsLOSjjz7Cy8uLxMREPvnkE4021tbW5OXlER8fj4uLC7Vr18bOzg4fHx/GjBnDsmXLcHNz48aNG8THx+Ps7Ey/fv2eKg4hhHhRZETK/38JIYQQQvzbyQ5hIYR4jrKzsxkzZgz29vZ0796dpKQkDh48SM+ePZ/pPMOGDWP27NlMmzaNNm3acPXqVcaPH6/RZuLEiUyePJkpU6bg5OTEgQMH2L17N7a2tty4cYOAgADmzp1L69atAQgLC6NBgwYEBQVpjBMQEEBBQQFjx459qhiNjIw4cuQIffv2xc7OjlmzZrFs2TL69OkDgL+/P76+vowZM4bOnTvTrFkzunbt+lRzuLi4sHz5chYtWkSrVq3YtGkTERERGm3at29PUFAQw4YNw9TUlMWLFwMQFRXFmDFjmDJlCvb29nh7e5OUlETjxo2fKgYhhBBCCCGEEOJFolI/WaBRCCGEeApHjx6le/fu/PrrrzRo0KC6w3lh5ObmYmxsTE5OjtQTFkIIIYQQQgjxt6vq76FSMkIIIcSfkp+fz40bN5g7dy5DhgyRZLAQQgghhBBCCPESkJIRQggh/pTNmzfTpEkT7ty5o5RZEEIIIYQQQgghxItNEsJCCFGGjIwMVCoVKSkpL8W41RGHn58fRUVFnDlzhpkzZ+Lt7f3M4hNCCCGEEEIIIcTfQxLCQoh/hbVr1+Ls7IyRkRFGRka0a9eO/fv3V3dY1cbKyoqsrCxatWpV3aFoUKlU7Ny587nNZ21tzYoVK57bfEIIIYQQQgghRHWTGsJCiH8FS0tLIiMjsbW1Ra1WExMTw4ABA0hOTsbR0bG6w1Oo1WqKioqoWfPv/b9nLS0tzM3N/9Y5qsvzWkMhhHgZWc/YW90hiL9ZRmS/6g5BCCGEEC842SEshPhX8PLyom/fvtja2mJnZ8eCBQswMDDgxIkTFfb7+eef6dq1K7Vr18bFxYXjx48DcO/ePYyMjPj666812u/cuRN9fX3u3r0LwKlTp3Bzc0NXVxd3d3eSk5M12ickJKBSqdi/fz9t2rRBR0eHY8eOkZ+fz8SJEzEzM0NXV5fXXnuNpKQkAB48eICjoyNvvvmmMk56ejqGhoasX7++SrE9WTLi9u3b+Pj4YGpqip6eHra2tkRFRSl9L1y4QLdu3dDT06NevXq8+eab5OXllVqvsLAwTE1NMTIyIigoiIKCAuVaWbtxXV1dmTt3rnIdYODAgahUKqytrcnIyKBGjRqcPn1ao9+KFSto0qQJxcXF5a5heno6AwYMoEGDBhgYGODh4cGhQ4eUMbp06cLVq1d57733UKlUqFQq5dqxY8fo2LEjenp6WFlZMXHiRO7du1fqfoUQQgghhBBCiJeNJISFEP86RUVFxMXFce/ePdq1a1dh25kzZxISEkJKSgp2dnaMGDGChw8foq+vz/DhwzWSpgBRUVG88cYbGBoakpeXR//+/WnZsiVnzpxh7ty5hISElDnPjBkziIyMJC0tDWdnZ6ZNm8a2bduIiYnh7Nmz2NjY4Onpya1bt9DV1WXTpk3ExMSwa9cuioqKGDVqFD179sTf379KsT1p9uzZpKamsn//ftLS0li7di3169cHHiW/PT09MTExISkpia1bt3Lo0CGCg4M1xoiPjyctLY2EhAQ2b97M9u3bCQsLq/R5lChJeEdFRZGVlUVSUhLW1tb06NGjzHvx8/OjRo3//5+xJ9cwLy+Pvn37Eh8fT3JyMr1798bLy4vMzEwAtm/fjqWlJeHh4WRlZZGVlQU8Sq737t2bwYMHc/78ebZs2cKxY8dK3e+T8vPzyc3N1TiEEEIIIYQQQogXjfw9rRDiX+PChQu0a9eOBw8eYGBgwI4dO2jZsmWFfUJCQujX79GfXoaFheHo6MiVK1do0aIFgYGBtG/fnqysLCwsLMjOzmbfvn3KLtTY2FiKi4v54osv0NXVxdHRkd9++43x48eXmic8PJyePXsCjxKwa9euJTo6mj59+gCwbt06vv32W7744gumTp2Kq6sr8+fPJzAwkOHDh3P16lX27NmjjFdZbE/KzMzEzc0Nd3d34P/v1i25jwcPHrBhwwb09fUBWL16NV5eXixatIgGDRoAoK2tzfr166lduzaOjo6Eh4czdepU5s2bp5G4LY+pqSkAderU0ShnERgYSFBQEMuXL0dHR4ezZ89y4cIFdu3aVe4aAtStWxcXFxfl87x589ixYwe7d+8mODiYunXroqWlhaGhocZ8ERER+Pj4MGnSJABsbW1ZtWoVnTt3Zu3atejq6pYZf0RExFMlwIUQQgghhBBCiOogO4SFEP8a9vb2pKSkcPLkScaPH4+vry+pqakEBQVhYGCgHI9zdnZWfrawsAAgOzsbgLZt2+Lo6EhMTAwAX375JU2aNKFTp04Ayk7VxxOI5e1ILknEwqMdqoWFhXTo0EE5V6tWLdq2bUtaWppybsqUKdjZ2bF69WrWr19PvXr1lGuVxfak8ePHExcXh6urK9OmTeP7779XrqWlpeHi4qIkgwE6dOhAcXExFy9eVM65uLhQu3ZtjXvNy8vj119/LXPOqvL29kZLS4sdO3YAEB0dTdeuXTWS1qC5hgB5eXmEhITg4OBAnTp1MDAwIC0tTdkhXJ5z584RHR2t8Z3w9PSkuLiYX375pdx+oaGh5OTkKMdfvW8hhBBCCCGEEOLvIAlhIcS/hra2NjY2NrRp04aIiAhcXFxYuXIl4eHhpKSkKMfjatWqpfxcUmO2uLhYORcYGEh0dDTwqIzB2LFjNWrRVtXjydaqys7O5tKlS2hpaXH58uVS158mtj59+ij1dK9du0b37t3LLW/xZ9WoUQO1Wq1xrrCwsNJ+2trajBkzhqioKAoKCoiNjcXf379UuyfXMCQkhB07drBw4UKOHj1KSkoKTk5OGnWNy5KXl8dbb72l8Z04d+4cly9fpnnz5uX209HRwcjISOMQQgghhBBCCCFeNJIQFkL8axUXF5Ofn4+ZmRk2NjbK8TRGjRrF1atXWbVqFampqfj6+irXHBwcOH/+PA8ePFDOVfYSO4DmzZujra1NYmKicq6wsJCkpCSNEhf+/v44OTkRExPD9OnTNXYPVxZbWUxNTfH19eXLL79kxYoVfPbZZ8p9nDt3TuOlaomJidSoUQN7e3vl3Llz5/jjjz807tXAwAArKytl/JI6vQC5ubmldtzWqlWLoqKiUrEFBgZy6NAh1qxZw8OHDxk0aFCF91ISo5+fHwMHDsTJyQlzc3MyMjI02mhra5ear3Xr1qSmpmp8J0oObW3tSucVQgghhBBCCCFeZFJDWAjxrxAaGkqfPn1o3Lgxd+/eJTY2loSEBA4ePPiXxjUxMWHQoEFMnTqVXr16YWlpqVwbOXIkM2fOZNy4cYSGhpKRkcHSpUsrHVNfX5/x48czdepU6tatS+PGjVm8eDH3798nICAAgI8//pjjx49z/vx5rKys2Lt3Lz4+Ppw4cUJJWlYU25PmzJlDmzZtcHR0JD8/nz179uDg4ACAj48PH3zwAb6+vsydO5cbN27wzjvvMHr0aKV+MEBBQQEBAQHMmjWLjIwMPvjgA4KDg5X6wd26dSM6OhovLy/q1KnDnDlz0NLS0ojD2tqa+Ph4OnTogI6ODiYmJsCjpPSrr77K9OnT8ff3R09Pr9J1tLW1Zfv27Xh5eaFSqZg9e7bG7u6S+Y4cOcLw4cPR0dGhfv36TJ8+nVdffZXg4GACAwPR19cnNTWVb7/9ltWrV1c6rxBCvMgyIvtVdwhCCCGEEKKayQ5hIcS/QnZ2NmPGjMHe3p7u3buTlJTEwYMHNV5C9mcFBARQUFBQqoyBgYEB33zzDRcuXMDNzY2ZM2eyaNGiKo0ZGRnJ4MGDGT16NK1bt+bKlSscPHgQExMTfvrpJ6ZOncqaNWuU3bdr1qzh999/Z/bs2VWK7Una2tqEhobi7OxMp06d0NLSIi4uDoDatWtz8OBBbt26hYeHB2+88Qbdu3cvlRzt3r07tra2dOrUiWHDhvH6668zd+5c5XpoaCidO3emf//+9OvXD29v71IlGJYtW8a3336LlZUVbm5uf+peSixfvhwTExPat2+Pl5cXnp6etG7dWqNNeHg4GRkZNG/eXHmpnbOzM4cPH+bSpUt07NgRNzc35syZQ8OGDas0rxBCCCGEEEII8SJTqZ8s6CiEEOKpbNy4Uam9+6KVFHiRY3ta8+bNY+vWrZw/f766Q6mS3NxcjI2NycnJkXrCQgghhBBCCCH+dlX9PVRKRgghxJ90//59srKyiIyM5K233nqhEq4vcmxPKy8vj4yMDFavXs38+fOrOxwhhBBCCCGEEOKlJiUjhBDiT1q8eDEtWrTA3Nyc0NDQ6g5Hw4sc29MKDg6mTZs2dOnSpcrlIoQQQgghhBBCCFE2KRkhhHjmMjIyaNq0KcnJybi6ur7w476MrK2tmTRpEpMmTarWMZ6VhIQEunbtyu3bt6lTp051h/NMSMkIIYQQQgghhBDPU1V/D5UdwkKISq1duxZnZ2eMjIwwMjKiXbt27N+/v7rDeqFs376dnj17YmpqqqzRwYMH//K40dHR/5gEaUXat29PVlYWxsbGz3XeuXPn/uv/cUEIIYQQQgghxL+L1BAWQlTK0tKSyMhIbG1tUavVxMTEMGDAAJKTk3F0dKzu8BRqtZqioiJq1nz+/9d25MgRevbsycKFC6lTpw5RUVF4eXlx8uRJ3Nzcnns8z0thYSG1atX6y+Noa2tjbm7+DCISQghREesZe6s7BPGSyojsV90hCCGEEOIZkR3CQohKeXl50bdvX2xtbbGzs2PBggUYGBhw4sSJCvv9/PPPdO3aldq1a+Pi4sLx48cBuHfvHkZGRnz99dca7Xfu3Im+vj53794F4NSpU7i5uaGrq4u7uzvJycka7RMSElCpVOzfv582bdqgo6PDsWPHyM/PZ+LEiZiZmaGrq8trr71GUlISAA8ePMDR0ZE333xTGSc9PR1DQ0PWr19f5dietGLFCqZNm4aHhwe2trYsXLgQW1tbvvnmmwrXKD8/n5CQEBo1aoS+vj6vvPIKCQkJyv2NHTuWnJwcVCoVKpWKuXPnKn3v37+Pv78/hoaGNG7cmM8++0y51q1bN4KDgzXmunHjBtra2sTHx5cZi0qlYu3atfTp0wc9PT2aNWumsQ4ZGRmoVCq2bNlC586d0dXVZdOmTRQXFxMeHo6lpSU6Ojq4urpy4MCBUv3i4uJo3749urq6tGrVisOHDyttSp7lnTt3lHPbtm3D0dERHR0drK2tWbZsmUa81tbWLFy4sNw1AJg+fTp2dnbUrl2bZs2aMXv2bAoLC4FHu6/DwsI4d+6csr7R0dEA3Llzh8DAQGXHd7du3Th37lw5T1EIIYQQQgghhHh5SEJYCPFUioqKiIuL4969e7Rr167CtjNnziQkJISUlBTs7OwYMWIEDx8+RF9fn+HDhxMVFaXRPioqijfeeANDQ0Py8vLo378/LVu25MyZM8ydO5eQkJAy55kxYwaRkZGkpaXh7OzMtGnT2LZtGzExMZw9exYbGxs8PT25deuWksSMiYlh165dFBUVMWrUKHr27Im/v3+VYquK4uJi7t69S926dStsFxwczPHjx4mLi+P8+fMMGTKE3r17c/nyZdq3b8+KFSswMjIiKyuLrKwsjTVYtmyZkih/++23GT9+PBcvXgQgMDCQ2NhY8vPzlfZffvkljRo1olu3buXGM3v2bAYPHsy5c+fw8fFh+PDhpKWllVrvd999l7S0NDw9PVm5ciXLli1j6dKlnD9/Hk9PT15//XUuX76s0W/q1KlMmTKF5ORk2rVrh5eXFzdv3iwzjjNnzjB06FCGDx/OhQsXmDt3LrNnz1YStlVZAwBDQ0Oio6NJTU1l5cqVrFu3jg8//BCAYcOGMWXKFBwdHZX1HTZsGABDhgwhOzub/fv3c+bMGVq3bk337t25detWuWuXn59Pbm6uxiGEEEIIIYQQQrxoJCEshKiSCxcuYGBggI6ODkFBQezYsYOWLVtW2CckJIR+/fphZ2dHWFgYV69e5cqVK8CjhOXBgwfJysoCIDs7m3379uHv7w9AbGwsxcXFfPHFFzg6OtK/f3+mTp1a5jzh4eH07NmT5s2bo6Ojw9q1a1myZAl9+vShZcuWrFu3Dj09Pb744gsAXF1dmT9/PoGBgUyaNImrV6+ybt06ZbzKYquKpUuXkpeXx9ChQ8ttk5mZSVRUFFu3bqVjx440b96ckJAQXnvtNaKiotDW1sbY2BiVSoW5uTnm5uYYGBgo/fv27cvbb7+NjY0N06dPp379+nz33XcADBo0CIBdu3Yp7aOjo/Hz80OlUpUb05AhQwgMDMTOzo558+bh7u7ORx99pNFm0qRJDBo0iKZNm2JhYcHSpUuZPn06w4cPx97enkWLFuHq6sqKFSs0+gUHBzN48GAcHBxYu3YtxsbGyjN50vLly+nevTuzZ8/Gzs4OPz8/goODWbJkiUa7itYAYNasWbRv3x5ra2u8vLwICQnhq6++AkBPTw8DAwNq1qyprK+enh7Hjh3j1KlTbN26FXd3d2xtbVm6dCl16tQptXP8cRERERgbGyuHlZVVuW2FEEIIIYQQQojqIglhIUSV2Nvbk5KSwsmTJxk/fjy+vr6kpqYSFBSEgYGBcjzO2dlZ+dnCwgJ4lFwFaNu2LY6OjsTExACPdq82adKETp06ASi7fXV1dZUxytuR7O7urvycnp5OYWEhHTp0UM7VqlWLtm3baux0nTJlCnZ2dqxevZr169dTr1495VplsT1+v0FBQaXiiY2NJSwsjK+++gozMzMANm3apNHv6NGjXLhwgaKiIuzs7DSuHT58mPT09LIfRDnrW5I0LllfXV1dRo8ezfr16wE4e/YsP/zwA35+fhWO+eQat2vXrtQO4cfXOzc3l2vXrmmsN0CHDh1K9Xt87Jo1a+Lu7l6qTYm0tLQyx7x8+TJFRUXKuYrWAGDLli106NBBSabPmjWLzMzMMucsce7cOfLy8qhXr57Gc/nll18qfC6hoaHk5OQox6+//lrhPEIIIYQQQgghRHWQl8oJIapEW1sbGxsbANq0aUNSUhIrV65k3rx55ZZyePxlYyW7UouLi5VzgYGBfPzxx8yYMYOoqCjGjh1b4e7V8ujr6z91n+zsbC5duoSWlhaXL1+md+/eGtcrii0lJUVpZ2RkpNEvLi6OwMBAtm7dSo8ePZTzr7/+Oq+88oryuVGjRuzevRstLS3OnDmDlpaWxjhPJtfL8uTL3FQqVan1dXV15bfffiMqKopu3brRpEmTSsetzJ9Z779LRWtw/PhxfHx8CAsLw9PTE2NjY+Li4krVIn5SXl4eFhYWSi3nx9WpU6fcfjo6Oujo6Dz1PQghhBBCCCGEEM+T7BAWQvwpxcXF5OfnY2Zmho2NjXI8jVGjRnH16lVWrVpFamoqvr6+yjUHBwfOnz/PgwcPlHOVvcQOoHnz5mhra5OYmKicKywsJCkpSaPEhb+/P05OTsTExDB9+vRSO1Uriu3x+y3ZAQywefNmxo4dy+bNm+nXT/NN3IaGhhr99PT0cHNzo6ioiOzsbI1rNjY2mJubA48S8Y/viH0aTk5OuLu7s27dOmJjY6tU8uLJNT5x4gQODg7ltjcyMqJhw4Ya6w2QmJhYqqTI42M/fPiQM2fOlDu2g4NDmWPa2dmVSp6X5/vvv6dJkybMnDlTKf1w9epVjTZlrW/r1q25fv06NWvWLPVc6tevX6W5hRBCCCGEEEKIF5XsEBZCVCo0NJQ+ffrQuHFj7t69S2xsLAkJCRw8ePAvjWtiYsKgQYOYOnUqvXr1wtLSUrk2cuRIZs6cybhx4wgNDSUjI4OlS5dWOqa+vj7jx49n6tSp1K1bl8aNG7N48WLu379PQEAAAB9//DHHjx/n/PnzWFlZsXfvXnx8fDhx4gTa2tqVxlaW2NhYfH19WblyJa+88grXr18HHtWpNTY2LrOPnZ0dPj4+jBkzhmXLluHm5saNGzeIj4/H2dmZfv36YW1tTV5eHvHx8bi4uFC7dm1q165dpfWFR7uEg4OD0dfXZ+DAgZW2L6mb+9prr7Fp0yZOnTpVbp3fElOnTuWDDz6gefPmuLq6EhUVRUpKCps2bdJo9/HHH2Nra4uDgwMffvght2/fLjdJPWXKFDw8PJg3bx7Dhg3j+PHjrF69mjVr1lT53m1tbcnMzCQuLg4PDw/27t3Ljh07NNpYW1vzyy+/kJKSgqWlJYaGhvTo0YN27drh7e3N4sWLsbOz49q1a+zdu5eBAwdqlMwQQoiXTUZkv8obCSGEEEKIfzTZISyEqFR2djZjxozB3t6e7t27k5SUxMGDB+nZs+dfHjsgIICCgoJSiUEDAwO++eYbLly4gJubGzNnzmTRokVVGjMyMpLBgwczevRoWrduzZUrVzh48CAmJib89NNPTJ06lTVr1igv/VqzZg2///47s2fPrlJsZfnss894+PAhEyZMwMLCQjnefffdCvtFRUUxZswYpkyZgr29Pd7e3iQlJdG4cWMA2rdvT1BQEMOGDcPU1JTFixdXaQ1KjBgxgpo1azJixAiNeszlCQsLIy4uDmdnZzZs2MDmzZsrfXngxIkTmTx5MlOmTMHJyYkDBw6we/dubG1tNdpFRkYSGRmJi4sLx44dY/fu3eXuuG3dujVfffUVcXFxtGrVijlz5hAeHl5pDeTHvf7667z33nsEBwfj6urK999/X+oZDx48mN69e9O1a1dMTU3ZvHkzKpWKffv20alTJ8aOHYudnR3Dhw/n6tWrNGjQoMrzCyGEEEIIIYQQLyKVWq1WV3cQQoh/r40bN/Lee+9x7do1ZXfui+JFjq2qMjIyaN68OUlJSbRu3brCtiqVih07duDt7f3MY2jatCnJycm4uro+07FfZLm5uRgbG5OTk1Oq1rQQQgghhBBCCPGsVfX3UCkZIYSoFvfv3ycrK4vIyEjeeuutFyrh+iLHVlWFhYXcvHmTWbNm8eqrr1aaDBZCCCGEEEIIIcS/g5SMEEJUi8WLF9OiRQvMzc0JDQ2t7nA0vMixVVViYiIWFhYkJSXxySefVHc4QgghhBBCCCGEeEFIQlgIUS3mzp1LYWEhI0eOZNCgQX95PJVKxc6dO/96YPz/2OLj4zE0NHxm4/6dMjIyUKlUpKSkANClSxfUajUXL17EycmpSmOo1epnUi7C2tqaFStWAFBQUECXLl1ISkrSKBfh5+f3zEtTCCGEEEIIIYQQonKSEBZCPBNr167F2dkZIyMjjIyMaNeuHfv376+wz4MHD5g9ezYffPBBmdfj4uJQqVSSOHyJaWtrExISwvTp0//WeebOnfun6hNHR0dTp06dZx6PEEIIIYQQQgjxopIawkKIZ8LS0pLIyEhsbW1Rq9XExMQwYMAAkpOTcXR0LLPP119/jZGRER06dCh1LSMjg5CQEDp27Ph3h/6XFBYWUqtWreoO44Xm4+PDlClT+PHHH8v9LgghxLNiPWNvdYfwQsuI7FfdIQghhBBCiGomO4SFEM+El5cXffv2xdbWFjs7OxYsWICBgQEnTpwot09cXBxeXl6lzhcVFeHj40NYWBjNmjWrcgy///47AwcOpHbt2tja2rJ7927gUSkEGxsbli5dqtE+JSUFlUrFlStXALh8+TKdOnVCV1eXli1b8u2332q0LynLsGXLFjp37oyuri6bNm2iuLiY8PBwLC0t0dHRwdXVlQMHDihz9+jRA09PT9RqNQC3bt3C0tKSOXPmVDk2lUrF2rVr6dOnD3p6ejRr1oyvv/661Br8/PPPdO3aldq1a+Pi4sLx48c1rh87doyOHTuip6eHlZUVEydO5N69e8p1a2trFi5ciL+/P4aGhjRu3JjPPvtMud6tWzeCg4M1xrxx4wba2trEx8eX+VxMTEzo0KEDcXFxZV4HOHDgAK+99hp16tShXr169O/fn/T0dI02v/32GyNGjKBu3bro6+vj7u7OyZMniY6OJiwsjHPnzqFSqVCpVERHRwOwfPlynJyc0NfXx8rKirfffpu8vDwAEhISGDt2LDk5OUq/uXPnApCfn09ISAiNGjVCX1+fV155hYSEhHLjF0IIIYQQQgghXhaSEBZCPHNFRUXExcVx79492rVrV267Y8eO4e7uXup8eHg4ZmZmBAQEPNW8YWFhDB06lPPnz9O3b198fHy4desWKpUKf39/oqKiNNpHRUXRqVMnbGxsKC4uZtCgQWhra3Py5Ek++eSTcssczJgxg3fffZe0tDQ8PT1ZuXIly5YtY+nSpZw/fx5PT09ef/11Ll++jEqlIiYmhqSkJFatWgVAUFAQjRo1Ys6cOVWKrcTs2bMZPHgw586dw8fHh+HDh5OWlqbRb+bMmYSEhJCSkoKdnR0jRozg4cOHAKSnp9O7d28GDx7M+fPn2bJlC8eOHSuV4F22bBnu7u4kJyfz9ttvM378eC5evAhAYGAgsbGx5OfnK+2//PJLGjVqRLdu3cp9Nm3btuXo0aPlXr937x6TJ0/m9OnTxMfHU6NGDQYOHEhxcTEAeXl5dO7cmf/+97/s3r2bc+fOMW3aNIqLixk2bBhTpkzB0dGRrKwssrKyGDZsGAA1atRg1apV/Pjjj8TExPCf//yHadOmAdC+fXtWrFiBkZGR0i8kJASA4OBgjh8/TlxcHOfPn2fIkCH07t2by5cvl3sP+fn55ObmahxCCCGEEEIIIcSLRhLCQohn5sKFCxgYGKCjo0NQUBA7duygZcuWZba9c+cOOTk5NGzYUOP8sWPH+OKLL1i3bt1Tz+/n58eIESOwsbFh4cKF5OXlcerUKeXaxYsXlc+FhYXExsbi7+8PwKFDh/jpp5/YsGEDLi4udOrUiYULF5Y5z6RJkxg0aBBNmzbFwsKCpUuXMn36dIYPH469vT2LFi3C1dVVebFao0aN+PTTT5kxYwahoaHs27ePL7/8kpo1a1YpthJDhgwhMDAQOzs75s2bh7u7Ox999JFGm5CQEPr164ednR1hYWFcvXpV2WUcERGBj48PkyZNwtbWlvbt27Nq1So2bNjAgwcPlDH69u3L22+/jY2NDdOnT6d+/fp89913AMoLAHft2qW0j46Oxs/PD5VKVe6zadiwIVevXi33+uDBgxk0aBA2Nja4urqyfv16Lly4QGpqKgCxsbHcuHGDnTt38tprr2FjY8PQoUNp164denp6GBgYULNmTczNzTE3N0dPT095Vl27dsXa2ppu3boxf/58vvrqK+BRfWNjY2NUKpXSz8DAgMzMTKKioti6dSsdO3akefPmhISE8Nprr5VK3D8uIiICY2Nj5bCysiq3rRBCCCGEEEIIUV0kISyEeGbs7e1JSUnh5MmTjB8/Hl9fX1JTUwkKCsLAwEA5AP744w8AdHV1lf53795l9OjRrFu3jvr165c5x8KFCzXGyszMVK45OzsrP+vr62NkZER2djbwKCHZr18/1q9fD8A333xDfn4+Q4YMASAtLQ0rKyuNBHV5u5sf39Wcm5vLtWvXStVB7tChg8bu3SFDhjBw4EAiIyNZunQptra2yrXKYisvnnbt2pXaIfz4GlhYWAAoa3Du3Dmio6M11s/T05Pi4mJ++eWXMscoSZaWjKGrq8vo0aOVWM+ePcsPP/yAn59fmWtVQk9Pj/v375d7/fLly4wYMYJmzZphZGSEtbU1gPJ8U1JScHNzo27duhXO86RDhw7RvXt3GjVqhKGhIaNHj+bmzZsVxnLhwgWKioqws7PTWKvDhw+XKmPxuNDQUHJycpTj119/fapYhRBCCCGEEEKI50FeKieEeGa0tbWVEgdt2rQhKSmJlStXMm/ePOVP8UvUq1cPlUrF7du3lXPp6elkZGRo1BUuKRlQs2ZNLl68SFBQEEOHDlWuP57AffLlbiqVSukPj8odjB49mg8//JCoqCiGDRtG7dq1n/o+9fX1n7rP/fv3OXPmDFpaWmWWHXhWsT2+BiU7dh8vu/DWW28xceLEUv0aN25c5hgl4zy5jq6urvz2229ERUXRrVs3mjRpUmFct27dwtTUtNzrXl5eNGnShHXr1tGwYUOKi4tp1aoVBQUFAMqO36eRkZFB//79GT9+PAsWLKBu3bocO3aMgIAACgoKyl3fvLw8tLS0lOf1uJJ/0CiLjo4OOjo6Tx2nEEIIIYQQQgjxPElCWAjxtykuLiY/Px8zMzPMzMw0rmlra9OyZUtSU1Pp1asXAC1atODChQsa7WbNmsXdu3dZuXIlVlZWaGtrP/Uu0RJ9+/ZFX1+ftWvXcuDAAY4cOaJcc3Bw4NdffyUrK0vZWVvRC/FKGBkZ0bBhQxITE+ncubNyPjExkbZt2yqfp0yZQo0aNdi/fz99+/alX79+GjV3K4qtxIkTJxgzZozGZzc3tyrff+vWrUlNTdWoS/xnODk54e7uzrp164iNjWX16tWV9vnhhx/KjfXmzZtcvHiRdevW0bFjR+BR6ZDHOTs78/nnn3Pr1q0yn7+2tjZFRUUa586cOUNxcTHLli2jRo1HfxBTUi6ion5ubm4UFRWRnZ2txCOEEEIIIYQQQvxTSEJYCPFMhIaG0qdPHxo3bszdu3eJjY0lISGBgwcPltvH09OTY8eOMWnSJOBROYJWrVpptKlTpw5AqfN/hpaWFn5+foSGhmJra6tRgqFHjx7Y2dnh6+vLkiVLyM3NZebMmVUad+rUqXzwwQc0b94cV1dXoqKiSElJYdOmTQDs3buX9evXc/z4cVq3bs3UqVPx9fXl/PnzmJiYVBpbia1bt+Lu7s5rr73Gpk2bOHXqFF988UWV73/69Om8+uqrBAcHExgYiL6+PqmpqXz77bdVSuo+LjAwkODgYPT19Rk4cGCl7Y8ePcq8efPKvGZiYkK9evX47LPPsLCwIDMzkxkzZmi0GTFiBAsXLsTb25uIiAgsLCxITk6mYcOGtGvXDmtra3755RdSUlKwtLTE0NAQGxsbCgsL+eijj/Dy8iIxMZFPPvlEY1xra2vy8vKIj4/HxcWF2rVrY2dnh4+PD2PGjGHZsmW4ublx48YN4uPjcXZ2pl+/fk+1VkKI5ysjUv43KoQQQgghREWkhrAQ4pnIzs5mzJgx2Nvb0717d5KSkjh48CA9e/Yst09AQAD79u0jJyfnucVZUi5g7NixGudr1KjBjh07+OOPP2jbti2BgYEsWLCgSmNOnDiRyZMnM2XKFJycnDhw4AC7d+/G1taWGzduEBAQwNy5c2ndujUAYWFhNGjQgKCgoCrFViIsLIy4uDicnZ3ZsGEDmzdvLvelfWVxdnbm8OHDXLp0iY4dO+Lm5sacOXNKvdivKkaMGEHNmjUZMWKERh3oshw/fpycnBzeeOONMq/XqFGDuLg4zpw5Q6tWrXjvvfdYsmSJRhttbW3+7//+DzMzM/r27YuTkxORkZFKSYfBgwfTu3dvunbtiqmpKZs3b8bFxYXly5ezaNEiWrVqxaZNm4iIiNAYt3379gQFBTFs2DBMTU1ZvHgxAFFRUYwZM4YpU6Zgb2+Pt7c3SUlJGqU1hBBCCCGEEEKIl5FKrVarqzsIIcS/15AhQ2jdujWhoaHPZb6jR4/SvXt3fv31Vxo0aPBc5qyqimJTqVTs2LEDb2/v6gnuCRkZGTRv3pykpCQl0V2eYcOG4eLiwvvvv/+consx5ObmYmxsTE5ODkZGRtUdjhBCCCGEEEKIf7iq/h4qO4SFENVqyZIlFb6o61nJz8/nt99+Y+7cuQwZMuSFSga/yLE9qbCwkOvXrzNr1ixeffXVSpPBBQUFODk58d577z2nCIUQQgghhBBCCFERSQgLIaqVtbU177zzzt8+z+bNm2nSpAl37txRygK8KF7k2J6UmJiIhYUFSUlJperxlkVbW5tZs2ahp6f3VPNER0cr9aOrqkuXLko9aiGEEEIIIYQQQpRNSkYIIcQLLiIigu3bt/PTTz+hp6dH+/btWbRoEfb29tUd2t/mjz/+4O7du5iZmVW5z61bt6hVqxaGhobPPJ4uXbqQkJDwVH2kZIQQQgghhBBCiOepqr+H1nyOMQkhhPgTDh8+zIQJE/Dw8ODhw4e8//779OrVi9TUVPT19as7vKdSUFCAtrZ2pe309PSeeldx3bp1/2xYZbp06RJnz55l+PDhyrmzZ89y7do1+vfv/0znEpWznrG3ukMQ4h8hI7JfdYcghBBCCCGqmZSMEEKIF9yBAwfw8/PD0dERFxcXoqOjyczM5MyZMxX2u337NmPGjMHExITatWvTp08fLl++DMCNGzcwNzdn4cKFSvvvv/8ebW1t4uPjK+0PcPPmTUaMGEGjRo2oXbs2Tk5ObN68WSOGLl26EBwczKRJk6hfvz6enp4A7N69G1tbW3R1denatSsxMTGoVCru3LkDlC4ZMXfuXFxdXdm4cSPW1tYYGxszfPhw7t69qzHX4yUjrK2tWbhwIf7+/hgaGtK4cWM+++wzjfh+/fVXhg4dSp06dahbty4DBgwgIyMDgPr16/Pdd98xdOhQ7ty5w5w5cwgNDaVZs2YVrrsQQgghhBBCCPEik4SwEEK8ZHJycoDKd8T6+flx+vRpdu/ezfHjx1Gr1fTt25fCwkJMTU1Zv349c+fO5fTp09y9e5fRo0cTHBxM9+7dK+0P8ODBA9q0acPevXv54YcfePPNNxk9ejSnTp3SiCMmJgZtbW0SExP55JNP+OWXX3jjjTfw9vbm3LlzvPXWW8ycObPS+05PT2fnzp3s2bOHPXv2cPjwYSIjIyvss2zZMtzd3UlOTubtt99m/PjxXLx4EXj0gjxPT08MDQ05evQoiYmJGBgY0Lt3bwoKCqhbty6ffvopPXr04Ny5c6Snp3Pw4EFatmxZaaxCCCGEEEIIIcSLSkpGCCHES6S4uJhJkybRoUMHWrVqVW67y5cvs3v3bhITE2nfvj0AmzZtwsrKip07dzJkyBD69u3LuHHj8PHxwd3dHX19fSIiIqrcv1GjRoSEhChzvvPOOxw8eJCvvvqKtm3bKudtbW01XpY3Y8YM7O3tWbJkCQD29vb88MMPLFiwoNJ7j46OVmoEjx49mvj4+Ar79e3bl7fffhuA6dOn8+GHH/Ldd99hb2/Pli1bKC4u5vPPP0elUgEQFRVFnTp1SEhIwMPDg5kzZ/L777/j4uJC8+bN6dOnDytWrCizfnN+fj75+fnK59zc3ArvRwghhBBCCCGEqA6yQ1gIIV4iEyZM4IcffiAuLk45FxQUhIGBgXIApKWlUbNmTV555RWlXb169bC3tyctLU05t3TpUh4+fMjWrVvZtGkTOjo6Ve5fVFTEvHnzcHJyom7duhgYGHDw4EEyMzM1Ym7Tpo3G54sXL+Lh4aFx7vEEcnmsra01XhhnYWFBdnZ2hX2cnZ2Vn1UqFebm5kqfc+fOceXKFQwNDZW1q1u3Lg8ePCA9PZ3s7Gw6duzIV199RZ06dQgPD2fBggVcunSpzLkiIiIwNjZWDisrq0rvSQghhBBCCCGEeN5kh7AQQrwkgoOD2bNnD0eOHMHS0lI5Hx4errFT92mkp6dz7do1iouLycjIwMnJqcp9lyxZwsqVK1mxYgVOTk7o6+szadIkCgoKNNo9qxff1apVS+OzSqWiuLj4T/fJy8ujTZs2bNq0qVQ/U1NTjI2NS+0Ebt26Na1bty5zrtDQUCZPnqx8zs3NlaSwEEIIIYQQQogXjiSEhRDiBadWq3nnnXfYsWMHCQkJNG3aVOO6mZkZZmZmGuccHBx4+PAhJ0+eVEo+3Lx5k4sXLyo1cAsKChg1ahTDhg3D3t6ewMBALly4gJmZWZX6JyYmMmDAAEaNGgU8Kulw6dKlSmvs2tvbs2/fPo1zSUlJf3J1/rzWrVuzZcsWzMzMMDIyqrBtQkJCpePp6OgoO6yFEEIIIYQQQogXlSSEhRDiBTdhwgRiY2PZtWsXhoaGXL9+HQBjY2P09PTK7GNra8uAAQMYN24cn376KYaGhsyYMYNGjRoxYMAAAGbOnElOTg6rVq3CwMCAffv24e/vz549e6rU39bWlq+//prvv/8eExMTli9fzv/+979KE8JvvfUWy5cvZ/r06QQEBJCSkkJ0dDSAUsv3efDx8WHJkiUMGDCA8PBwLC0tuXr1Ktu3b2fatGkau7BF9cuI7FfdIQghhBBCCCHEP4LUEBZCiBfc2rVrycnJoUuXLlhYWCjHli1bKuwXFRVFmzZt6N+/P+3atUOtVrNv3z5q1apFQkICK1asYOPGjRgZGVGjRg02btzI0aNHWbt2baX9AWbNmkXr1q3x9PSkS5cumJub4+3tXen9NG3alK+//prt27fj7OzM2rVrmTlzJsBz3WFbu3Ztjhw5QuPGjRk0aBAODg4EBATw4MGDSncMCyGEEEIIIYQQLyuVWq1WV3cQQggh/t0WLFjAJ598wq+//lrdoTwzubm5GBsbk5OTIwlmIYQQQgghhBB/u6r+HiolI4QQQjx3a9aswcPDg3r16pGYmMiSJUsIDg6u7rCEEEIIIYQQQoh/PEkICyGEeO4uX77M/PnzuXXrFo0bN2bKlCmEhoZWd1hCCCGEEEIIIcQ/ntQQFkK8FPz8/KpUn/ZpxujSpQuTJk36S2M+b9HR0dSpU6e6wwAevQBu586dFbYp77l9+OGHXLt2jQcPHnDp0iVmz55NzZp/7d8ov/jiC3r16vWXxijL77//jpmZGb/99tszH1sIIYQQQgghhHjeJCEshCAiIgIPDw8MDQ0xMzPD29ubixcvVkssGRkZqFQqUlJSqmX+p/WyxfssZWVl0adPH6D8dVi5ciXR0dF/eywPHjxg9uzZfPDBBxrnc3NzmTlzJi1atEBXVxdzc3N69OjB9u3bKSmh7+fnh0ql0jh69+6tjFG/fn3GjBlTamwhhBBCCCGEEOJlJCUjhBAcPnyYCRMm4OHhwcOHD3n//ffp1asXqamp6OvrV3d4/wpFRUWoVCpq1Kjef6dTq9UUFRVVabeuubl5pW2MjY2fRViV+vrrrzEyMqJDhw7KuTt37vDaa6+Rk5PD/Pnz8fDwoGbNmhw+fJhp06bRrVs3Zbd17969iYqKUvrq6OhojD927FjatGnDkiVLqFu37nO5JyHEX2M9Y291h/BCyojsV90hCCGEEEKIaiY7hIUQHDhwAD8/PxwdHXFxcSE6OprMzEzOnDlTbp+SHaFfffUVHTt2RE9PDw8PDy5dukRSUhLu7u4YGBjQp08fbty4odH3888/x8HBAV1dXVq0aMGaNWuUa02bNgXAzc0NlUpFly5dNPouXboUCwsL6tWrx4QJEygsLAQgPDycVq1alYrT1dWV2bNnl3sfDx8+JDg4GGNjY+rXr8/s2bOVnaNQdlmEOnXqKLtey4r3yJEj1KpVi+vXr2v0mzRpEh07dgT+f+mH3bt307JlS3R0dDh27Fil/cryzTff4OHhga6uLvXr12fgwIHKtY0bN+Lu7o6hoSHm5uaMHDmS7Oxs5XpCQgIqlYr9+/fTpk0bJY4uXbowceJEpk2bRt26dTE3N2fu3Lka8z6+NuU9t7LKdFQ27p07dwgMDMTU1BQjIyO6devGuXPnyr1/gLi4OLy8vDTOvf/++2RkZHDy5El8fX1p2bIldnZ2jBs3jpSUFAwMDJS2Ojo6mJubK4eJiYnGWI6OjjRs2JAdO3ZUGIcQQgghhBBCCPGik4SwEKKUnJwcgCrthPzggw+YNWsWZ8+epWbNmowcOZJp06axcuVKjh49ypUrV5gzZ47SftOmTcyZM4cFCxaQlpbGwoULmT17NjExMQCcOnUKgEOHDpGVlcX27duVvt999x3p6el89913xMTEEB0drSRm/f39SUtLIykpSWmfnJzM+fPnGTt2bLnxx8TEULNmTU6dOsXKlStZvnw5n3/+eZXXqqx4O3XqRLNmzdi4caPSrrCwkE2bNuHv76+cu3//PosWLeLzzz/nxx9/xN3dvUr9Hrd3714GDhxI3759SU5OJj4+nrZt22r0nzdvHufOnWPnzp1kZGTg5+dXapwZM2YQGRlJWloazs7Oytro6+tz8uRJFi9eTHh4ON9++22V16E8lY07ZMgQsrOz2b9/P2fOnKF169Z0796dW7dulTvmsWPHcHd3Vz4XFxcTFxeHj48PDRs2LNXewMBAYxd0QkICZmZm2NvbM378eG7evFmqT9u2bTl69Gi5MQghhBBCCCGEEC8DKRkhhNBQXFzMpEmT6NChQ5k7bp8UEhKCp6cnAO+++y4jRowgPj5e+dP9gIAAjRqyH3zwAcuWLWPQoEHAo52lqampfPrpp/j6+mJqagpAvXr1SpUkMDExYfXq1WhpadGiRQv69etHfHw848aNw9LSEk9PT6KiovDw8AAgKiqKzp0706xZs3Ljt7Ky4sMPP0SlUmFvb8+FCxf48MMPGTduXJXWq7x4AwICiIqKYurUqcCjXbwPHjxg6NChSpvCwkLWrFmDi4vLU/V73IIFCxg+fDhhYWHKucfHezyR3KxZM1atWoWHhwd5eXkaO2TDw8Pp2bOnxtjOzs5K3VxbW1tWr15NfHx8qXYVrUNZKhr32LFjnDp1iuzsbKVsw9KlS9m5cydff/01b775Zqnx7ty5Q05Ojkbi9/fff+f27du0aNGiwljgUbmIQYMG0bRpU9LT03n//ffp06cPx48fR0tLS2nXsGFDkpOTyx0nPz+f/Px85XNubm6lcwshhBBCCCGEEM+b7BAWQmiYMGECP/zwA3Fxccq5oKAgDAwMlONxJbtJARo0aACAk5OTxrmSEgX37t0jPT2dgIAAjfHmz59Penp6pbE5OjpqJOgsLCw0yh+MGzeOzZs38+DBAwoKCoiNjS13Z22JV199FZVKpXxu164dly9fpqioqNJ4KuLn58eVK1c4ceIE8KhExNChQzVqMmtra2usX1X7PS4lJYXu3buXG8eZM2fw8vKicePGGBoa0rlzZwAyMzM12j2+u7bEk7E9ud5/VkXjnjt3jry8POrVq6fxHfnll1/K/Y788ccfAOjq6irnHi/7UZnhw4fz+uuv4+TkhLe3N3v27CEpKYmEhASNdnp6ety/f7/ccSIiIjA2NlYOKyurKscghBBCCCGEEEI8L7JDWAihCA4OZs+ePRw5cgRLS0vlfHh4OCEhIWX2qVWrlvJzSWL1yXPFxcUA5OXlAbBu3TpeeeUVjXEeT/SW5/FxnxwbwMvLCx0dHXbs2IG2tjaFhYW88cYblY5bEZVKVSq5WFK3uCJmZmZ4eXkRFRVF06ZN2b9/f5kJxseT0VXt9+QY5bl37x6enp54enqyadMmTE1NyczMxNPTk4KCAo22ZSWcK1vvP6uicfPy8rCwsCjznkteAPekevXqoVKpuH37tnLO1NSUOnXq8NNPPz11fM2aNaN+/fpcuXJFI9l+69YtZSd0WUJDQ5k8ebLyOTc3V5LCQgghhBBCCCFeOJIQFkKgVqt555132LFjBwkJCcoLwkqYmZlhZmb2l+dp0KABDRs25Oeff8bHx6fMNtra2gB/aoduzZo18fX1JSoqCm1tbYYPH15hwhTg5MmTGp9PnDiBra2tkqA2NTUlKytLuX758mWNXaIVxRsYGMiIESOwtLSkefPmShmNyjxNP2dnZ+Lj48usk/zTTz9x8+ZNIiMjlcTk6dOnqxTD0/orz+1xrVu35vr169SsWRNra+sqz92yZUtSU1Pp1asXADVq1GD48OFs3LiRDz74oFQd4by8PHR1dTXqCJf47bffuHnzJhYWFhrnf/jhh1IvOXycjo6OUuZCCCGEEEIIIYR4UUlCWAjBhAkTiI2NZdeuXRgaGnL9+nUAjI2NK02oPq2wsDAmTpyIsbExvXv3Jj8/n9OnT3P79m0mT56MmZkZenp6HDhwAEtLS3R1dTE2Nq7y+IGBgTg4OACQmJhYafvMzEwmT57MW2+9xdmzZ/noo49YtmyZcr1bt26sXr2adu3aUVRUxPTp0zV2uFYUr6enJ0ZGRsyfP5/w8PAq38PT9Pvggw/o3r07zZs3Z/jw4Tx8+JB9+/Yxffp0GjdujLa2Nh999BFBQUH88MMPzJs3r8pxPI2/+txK9OjRg3bt2uHt7c3ixYuxs7Pj2rVrysvzyiptAY/W7NixY0yaNEk5t2DBAhISEnjllVdYsGAB7u7u1KpVi6NHjxIREUFSUhI1a9YkLCyMwYMHY25uTnp6OtOmTcPGxkapjQ2PXgB45swZFi5c+NT3JISoHhmR/ao7BCGEEEIIIV5IUkNYCMHatWvJycmhS5cuWFhYKMeWLVue+VyBgYF8/vnnREVF4eTkROfOnYmOjlZ2JdesWZNVq1bx6aef0rBhQwYMGPBU49va2tK+fXtatGhRqixFWcaMGcMff/xB27ZtmTBhAu+++67Gi8uWLVuGlZUVHTt2ZOTIkYSEhFC7dm3lekXx1qhRAz8/P4qKihgzZkyV7+Fp+nXp0oWtW7eye/duXF1d6datG6dOnQIe7W6Ojo5m69attGzZksjISJYuXVrlOJ7GX31uJVQqFfv27aNTp06MHTsWOzs7hg8fztWrV5Ua1WUJCAhg37595OTkKOfq1q3LiRMnGDVqFPPnz8fNzY2OHTuyefNmlixZgrGxMVpaWpw/f57XX38dOzs7AgICaNOmDUePHtXY7btr1y4aN25Mx44d/9R9CSGEEEIIIYQQLwqV+mnevCOEEC84tVqNra0tb7/9tkY91+oSEBDAjRs32L1793Pp9282ZMgQWrduTWho6DMf+9VXX2XixImMHDmyyn1yc3MxNjYmJycHIyOjZx6TEEIIIYQQQgjxuKr+HiolI4QQ/xg3btwgLi6O69evl1lT93nKycnhwoULxMbGPlVS98/2E7BkyRK++eabZz7u77//zqBBgxgxYsQzH1sIIYQQQgghhHjeZIewEOIfQ6VSUb9+fVauXPlUOzn/Dl26dOHUqVO89dZbfPjhh397P/HikR3CQgghhBBCCCGep6r+Hio1hIUAMjIyUKlUpKSkvBTjvqxx/N3UajU3btx4Zsngv7JuCQkJ3L9/v8ykbkXjVtTvWXvW3ws/Pz+8vb2fyVhCCCGEEEIIIYT4e0hCWPzjRERE4OHhgaGhIWZmZnh7e3Px4sXqDusfYe7cubi6uj63+aKjo6lTp86f7n/48GGsrKwA+V6UxcrKiqysLFq1alXdoWhQqVTs3Lnzuc1nbW3NihUrntt8QgghhBBCCCFEdZIawuIf5/Dhw0yYMAEPDw8ePnzI+++/T69evUhNTUVfX7+6w9OgVqspKiqiZs1/1/8UCwoK0NbW/tvn2bVrF15eXoB8L8qipaWFubn53zpHdfm3/m9LCCEqYz1jb3WH8ELLiOxX3SEIIYQQQvztZIew+Mc5cOAAfn5+ODo64uLiQnR0NJmZmZw5c6bSvj///DNdu3aldu3auLi4cPz4cQDu3buHkZERX3/9tUb7nTt3oq+vz927dwE4deoUbm5u6Orq4u7uTnJyskb7hIQEVCoV+/fvp02bNujo6HDs2DHy8/OZOHEiZmZm6Orq8tprr5GUlATAgwcPcHR05M0331TGSU9Px9DQkPXr11c5NoCffvqJ9u3bo6urS6tWrTh8+LByrazduDt37kSlUinXw8LCOHfuHCqVCpVKRXR0NP7+/vTv31+jX2FhIWZmZnzxxRfAo7q4wcHBTJo0ifr16+Pp6QnA8uXLcXJyQl9fHysrK95++23y8vKUtRo7diw5OTnKfHPnzgUgPz+fkJAQGjVqhL6+Pq+88goJCQmlnufu3bt5/fXXAflelBXbkyUjbt++jY+PD6ampujp6WFra0tUVJTS98KFC3Tr1g09PT3q1avHm2++qTyvx4WFhWFqaoqRkRFBQUEUFBQo18rajevq6qo8W2trawAGDhyISqXC2tqajIwMatSowenTpzX6rVixgiZNmlBcXFzuGqanpzNgwAAaNGiAgYEBHh4eHDp0SBmjS5cuXL16lffee0/5npU4duwYHTt2RE9PDysrKyZOnMi9e/dK3a8QQgghhBBCCPEykYSw+MfLyckBoG7dupW2nTlzJiEhIaSkpGBnZ8eIESN4+PAh+vr6DB8+XCM5BhAVFcUbb7yBoaEheXl59O/fn5YtW3LmzBnmzp1LSEhImfPMmDGDyMhI0tLScHZ2Ztq0aWzbto2YmBjOnj2LjY0Nnp6e3Lp1C11dXTZt2kRMTAy7du2iqKiIUaNG0bNnT/z9/asUW4mpU6cyZcoUkpOTadeuHV5eXty8ebNK6zhs2DCmTJmCo6MjWVlZZGVlMWzYMAIDAzlw4ABZWVlK2z179nD//n2GDRumnIuJiUFbW5vExEQ++eQTAGrUqMGqVav48ccfiYmJ4T//+Q/Tpk0DoH379qxYsQIjIyNlvpL1DA4O5vjx48TFxXH+/HmGDBlC7969uXz5sjLfjz/+SHZ2Nt26dSvzfuR7YVhq/tmzZ5Oamsr+/ftJS0tj7dq11K9fH3iU/Pb09MTExISkpCS2bt3KoUOHCA4O1hgjPj6etLQ0EhIS2Lx5M9u3bycsLKzSNS5RkvCOiooiKyuLpKQkrK2t6dGjR5n34ufnR40a//8/ZU+uYV5eHn379iU+Pp7k5GR69+6Nl5cXmZmZAGzfvh1LS0vCw8OV7xk8Sq737t2bwYMHc/78ebZs2cKxY8dK3a8QQgghhBBCCPGykb+lFf9oxcXFTJo0iQ4dOlSpTmpISAj9+j36U8GwsDAcHR25cuUKLVq0IDAwkPbt25OVlYWFhQXZ2dns27dP2W0YGxtLcXExX3zxBbq6ujg6OvLbb78xfvz4UvOEh4fTs2dP4FGibe3atURHR9OnTx8A1q1bx7fffssXX3zB1KlTcXV1Zf78+QQGBjJ8+HCuXr3Knj17lPEqi61EcHAwgwcPBmDt2rUcOHCAL774QknCVkRPTw8DAwNq1qypUWagffv22Nvbs3HjRmWcqKgohgwZgoGBgdLO1taWxYsXa4w5adIk5Wdra2vmz59PUFAQa9asQVtbG2NjY1QqlcZ8mZmZREVFkZmZScOGDZXnduDAAaKioli4cCHwqFyEp6dnmaUp5HtxqNTcJWvr5uaGu7u78kxKxMbG8uDBAzZs2KCU2Fi9ejVeXl4sWrSIBg0aAKCtrc369eupXbs2jo6OhIeHM3XqVObNm6eRuC2PqakpAHXq1NF47oGBgQQFBbF8+XJ0dHQ4e/YsFy5cYNeuXeWuITxK+Lu4uCif582bx44dO9i9ezfBwcHUrVsXLS0tDA0NNeaLiIjAx8dH+Y7a2tqyatUqOnfuzNq1a9HV1S0Ve35+Pvn5+crn3NzcSu9XCCGEEEIIIYR43mSHsPhHmzBhAj/88ANxcXHKuaCgIAwMDJTjcc7OzsrPFhYWAGRnZwPQtm1bHB0diYmJAeDLL7+kSZMmdOrUCUDZkfh4oqhdu3ZlxlWScINHOxELCwvp0KGDcq5WrVq0bduWtLQ05dyUKVOws7Nj9erVrF+/nnr16inXKoutrHhq1qyJu7u7xhx/VmBgoLJ783//+x/79+/H399fo02bNm1K9Tt06BDdu3enUaNGGBoaMnr0aG7evMn9+/fLnevChQsUFRVhZ2en8RwPHz5Menq60m7Xrl1KuYgnyfdC83tRYvz48cTFxeHq6sq0adP4/vvvlWtpaWm4uLho1Fvu0KEDxcXFGi/nc3FxoXbt2hr3mpeXx6+//lrmnFXl7e2NlpYWO3bsAB6VMOnatatG0ho01xAgLy+PkJAQHBwcqFOnDgYGBqSlpSk7hMtz7tw5oqOjNb4Tnp6eFBcX88svv5TZJyIiAmNjY+UoeaGhEEIIIYQQQgjxIpGEsPjHCg4OZs+ePXz33XdYWloq58PDw0lJSVGOx9WqVUv5uaSWaHFxsXIuMDCQ6Oho4NEu2LFjx2rUHK2qP/MSs+zsbC5duoSWlpZGaYRnFVuNGjVQq9Ua5woLC6vUd8yYMfz8888cP36cL7/8kqZNm9KxY0eNNk/ec0ZGBv3798fZ2Zlt27Zx5swZPv74YwCNmrNPysvLQ0tLizNnzmg8x7S0NFauXAlAVlYWycnJyq7ex8n3ovzY+vTpo9TTvXbtGt27dy+3vMWf9We/Z9ra2owZM4aoqCgKCgqIjY0t9Y8OUHoNQ0JC2LFjBwsXLuTo0aOkpKTg5ORU4XcMHn3P3nrrLY3vxLlz57h8+TLNmzcvs09oaCg5OTnK8VeT4EIIIYQQQgghxN9BEsLiH0etVhMcHMyOHTv4z3/+Q9OmTTWum5mZYWNjoxxPY9SoUVy9epVVq1aRmpqKr6+vcs3BwYHz58/z4MED5dyJEycqHbN58+ZKbd0ShYWFJCUl0bJlS+Wcv78/Tk5OxMTEMH369FI7eyuKrax4Hj58yJkzZ3BwcAAe/an+3bt3NV6a9WRiVFtbm6KiolLj1qtXD29vb6KiooiOjmbs2LGV3veZM2coLi5m2bJlvPrqq9jZ2XHt2rVK53Nzc6OoqIjs7GyN52hjY6P8yf8333xD+/btNeoDy/ei/O/F40xNTfH19eXLL79kxYoVfPbZZ8p9nDt3TuP7kZiYSI0aNbC3t1fOnTt3jj/++EPjXg0MDJTdsqamphr1pnNzc0vtuK1Vq1aZ37PAwEAOHTrEmjVrePjwIYMGDarwXkpi9PPzY+DAgTg5OWFubk5GRoZGm7K+Z61btyY1NbXUd8zGxqbMMiQAOjo6GBkZaRxCCCGEEEIIIcQLRy3EP8z48ePVxsbG6oSEBHVWVpZy3L9/v9w+v/zyixpQJycnK+du376tBtTfffedRtuRI0eqtbW11b1799Y4f/fuXXX9+vXVo0aNUv/444/qvXv3qm1sbDTG/e6779SA+vbt2xp93333XXXDhg3V+/fvV//4449qX19ftYmJifrWrVtqtVqtXr16tbpOnTrqzMxMtVqtVo8YMULt5uamzs/Pr1JsJffXuHFj9fbt29VpaWnqN998U21gYKC+ceOGWq1Wq2/evKnW19dXT5w4UX3lyhX1pk2b1A0bNlQ//n8TmzZtUuvr66uTk5PVN27cUD948EC59n//939qbW1ttZaWlvq///2vxvydO3dWv/vuuxrnUlJS1IB6xYoV6vT0dPWGDRvUjRo10lifxMRENaA+dOiQ+saNG+p79+6p1Wq12sfHR21tba3etm2b+ueff1afPHlSvXDhQvWePXvUarVa3a9fP/WyZcs05pPvRfnfi5I4Zs+erd65c6f68uXL6h9++EHdv39/ddu2bdVqtVp97949tYWFhXrw4MHqCxcuqP/zn/+omzVrpvb19VXG8/X1VRsYGKhHjBih3GuDBg3UM2bMUNrMmDFDbW5urj5y5Ij6/Pnzam9vb7WBgYH6gw8+UNrY2tqqx48fr87KylLutUT79u3V2tra6qCgII3z5a3hwIED1a6ururk5GR1SkqK2svLS21oaKjxfezZs6f69ddfV//222/K/x7OnTun1tPTU0+YMEGdnJysvnTpknrnzp3qCRMmqKsqJydHDahzcnKq3EcIIYQQQgghhPizqvp7qCSExT8OUOYRFRVVbp+nSfzFx8erAfVXX31Vapzjx4+rXVxc1Nra2mpXV1f1tm3bqpT4++OPP9TvvPOOun79+modHR11hw4d1KdOnVKr1Wp1WlqaWk9PTx0bG6sRm5WVlXratGlViq3k/mJjY9Vt27ZVa2trq1u2bKn+z3/+o9Fux44dahsbG7Wenp66f//+6s8++0wjIfzgwQP14MGD1XXq1Cm1psXFxeomTZqo+/btW2pdykoIq9Vq9fLly9UWFhZqPT09taenp3rDhg2l1icoKEhdr149NaAkDQsKCtRz5sxRW1tbq2vVqqW2sLBQDxw4UH3+/Hl1Xl6eWldXV3358mWNueR7Uf73oiSOefPmqR0cHNR6enrqunXrqgcMGKD++eeflfbnz59Xd+3aVa2rq6uuW7euety4ceq7d+8q1319fdUDBgxQz5kzR12vXj21gYGBety4cRr/cJCTk6MeNmyY2sjISG1lZaWOjo5Wu7i4aCSEd+/erbaxsVHXrFlT3aRJE42Yv/jiCzWgrEOJ8tbwl19+UXft2lWtp6entrKyUq9evbrU9/H48eNqZ2dntY6Ojsb3/dSpU+qePXuqDQwM1Pr6+mpnZ2f1ggUL1FUlCWEhhBBCCCGEEM9TVX8PVanVTxRzFEJUaOPGjUqN1fL+dLy6VGdseXl5NGrUiKioqCr9Kf/fZfv27cyaNYvU1NTnOq98L56PefPmsXXrVs6fP1/doVQqNzcXY2NjcnJypHyEEEIIIYQQQoi/XVV/D635HGMS4qV2//59srKyiIyM5K233nqhEmvVGVtxcTG///47y5Yto06dOrz++uvPbe6yGBgYsGjRouc2n3wvno+8vDwyMjJYvXo18+fPr+5whBBCCCGEEEKIl5a8VE6IKlq8eDEtWrTA3Nyc0NDQ6g5HQ3XGlpmZSYMGDYiNjWX9+vXUrFm9/87Uq1cvvLy8ntt88r14PoKDg2nTpg1dunTB39+/usMRQgghhBBCCCFeWlIyQgjxXGRkZNC0aVOSk5NxdXV94cf9t4iOjmbSpEncuXOnWsd4kp+fH3fu3GHnzp3PbMznTUpGCCGEEEIIIYR4nqr6e6jsEBZCPLWIiAg8PDwwNDTEzMwMb29vLl68WN1hvXCOHTtGhw4dqFevHnp6erRo0YIPP/yw2uKxtrZmxYoV1Tb/i0rWRQghhBBCCCHEv4nUEBZCPLXDhw8zYcIEPDw8ePjwIe+//z69evUiNTUVfX396g5Pg1qtpqioqFpKWejr6xMcHIyzszP6+vocO3aMt956C319fd58883nHs+/SXU+dyGEeJFZz9hb3SFoyIjsV90hCCGEEEL868gOYSHEUztw4AB+fn44Ojri4uJCdHQ0mZmZnDlzptK+P//8M127dqV27dq4uLhw/PhxAO7du4eRkRFff/21RvudO3eir6/P3bt3ATh16hRubm7o6uri7u5OcnKyRvuEhARUKhX79++nTZs26OjocOzYMfLz85k4cSJmZmbo6ury2muvkZSUBMCDBw9wdHTUSNKmp6djaGjI+vXrqxzbk9zc3BgxYgSOjo5YW1szatQoPD09OXr0aIVrZG1tzfz58xkzZgwGBgY0adKE3bt3c+PGDQYMGICBgQHOzs6cPn1ao9+xY8fo2LEjenp6WFlZMXHiRO7duwdAly5duHr1Ku+99x4qlQqVSqXR9+DBgzg4OGBgYEDv3r3JysoC4MiRI9SqVYvr169rtJ80aRIdO3YsFfulS5dQqVT89NNPGuc//PBDmjdvDkBRUREBAQE0bdoUPT097O3tWblyZYVrUlxcTEREhNLHxcVF43mU99zT09MZMGAADRo0wMDAAA8PDw4dOqT0q2hdKlpPIYQQQgghhBDiZSUJYSHEX5aTkwNA3bp1K207c+ZMQkJCSElJwc7OjhEjRvDw4UP09fUZPnw4UVFRGu2joqJ44403MDQ0JC8vj/79+9OyZUvOnDnD3LlzCQkJKXOeGTNmEBkZSVpaGs7OzkybNo1t27YRExPD2bNnsbGxwdPTk1u3bqGrq8umTZuIiYlh165dFBUVMWrUKHr27Im/v3+VYquK5ORkvv/+ezp37lxp2w8//JAOHTqQnJxMv379GD16NGPGjGHUqFGcPXuW5s2bM2bMGErKwKenp9O7d28GDx7M+fPn2bJlC8eOHSM4OBiA7du3Y2lpSXh4OFlZWUrCF+D+/fssXbqUjRs3cuTIETIzM5V17dSpE82aNWPjxo1K+8LCQjZt2lTmy93s7Oxwd3dn06ZNGuc3bdrEyJEjgUfJXUtLS7Zu3Upqaipz5szh/fff56uvvip3PSIiItiwYQOffPIJP/74I++99x6jRo3i8OHDGu2efO55eXn07duX+Ph4kpOT6d27N15eXmRmZla4LpWtpxBCCCGEEEII8bKSl8oJIf6S4uJiXn/9de7cucOxY8fKbVfy8rfPP/+cgIAAAFJTU3F0dCQtLY0WLVpw6tQp2rdvz6+//oqFhQXZ2dk0atSIQ4cO0blzZz777DPef/99fvvtN3R1dQH45JNPGD9+vPJSuYSEBLp27crOnTsZMGAA8Gj3sYmJCdHR0UpSsrCwEGtrayZNmsTUqVMBWLJkCYsXL2b48OFs27aNCxcuUK9ePYBKY6uIpaUlN27c4OHDh8ydO5fZs2dX2N7a2pqOHTsqSdjr169jYWHB7NmzCQ8PB+DEiRO0a9eOrKwszM3NCQwMREtLi08//VQZ59ixY3Tu3Jl79+6hq6ur3O+kSZOUNtHR0YwdO5YrV64oO3jXrFlDeHi4sit48eLFREdHk5qaCjxKovr6+nL9+nX09fVLvVRuxYoVrF69mitXrgCPdg3b29srz7kswcHBXL9+Xdn1+/hL5fLz86lbty6HDh2iXbt2Sp/AwEDu379PbGxsmc+9PK1atSIoKEhJ7pa1LlVZzyfl5+eTn5+vfM7NzcXKykpeKieEeKFIyQghhBBCiH8ueamcEOK5mDBhAj/88ANxcXHKuaCgIAwMDJTjcc7OzsrPFhYWAGRnZwPQtm1bHB0diYmJAeDLL7+kSZMmdOrUCUDZ9fl4Mu7xBOHj3N3dlZ/T09MpLCykQ4cOyrlatWrRtm1b0tLSlHNTpkzBzs6O1atXs379eiUZXJXYHr/foKAgjViOHj3K6dOn+eSTT1ixYgWbN28GHu2afbzf46UkHl+nBg0aAODk5FTqXMnanTt3jujoaI3xPD09KS4u5pdffilzjUrUrl1bSQYDSsK7hJ+fH1euXOHEiRPAoyTy0KFDy60XPXz4cDIyMpT2mzZtonXr1hrJ4I8//pg2bdpgamqKgYEBn332mbJr90lXrlzh/v379OzZU+P+NmzYQHp6ukbbx587QF5eHiEhITg4OFCnTh0MDAxIS0srd64Sf2Y9IyIiMDY2Vg4rK6sK5xBCCCGEEEIIIaqDvG1HCPGnBQcHs2fPHo4cOYKlpaVyPjw8vNxSDrVq1VJ+LqnXWlxcrJwLDAzk448/ZsaMGURFRTF27NhS9W6r4s+83C47O5tLly6hpaXF5cuX6d27t8b1imJLSUlR2j35r3BNmzYFHiV0//e//zF37lxGjBjB66+/ziuvvKK0a9SokfJzWetU0drl5eXx1ltvMXHixFL31bhx4wrv+/FxS8Z+/I9HzMzM8PLyIioqiqZNm7J//34SEhLKHc/c3Jxu3boRGxvLq6++SmxsLOPHj1eux8XFERISwrJly2jXrh2GhoYsWbKEkydPljleXl4eAHv37tVYIwAdHR2Nz08+95CQEL799luWLl2KjY0Nenp6vPHGGxQUFJS/IPy59QwNDWXy5MnK55IdwkIIIYQQQgghxItEEsJCiKemVqt555132LFjBwkJCUrCs4SZmRlmZmZ/auxRo0Yxbdo0Vq1aRWpqKr6+vso1BwcHNm7cyIMHD5RdwiW7UCvSvHlztLW1SUxMpEmTJsCjkhFJSUkaZQL8/f1xcnIiICCAcePG0aNHDxwcHKoUm42NTZXur7i4WCkrYGhoWOX6w5Vp3bo1qampFcahra1NUVHRnxo/MDCQESNGYGlpSfPmzTV2W5fFx8eHadOmMWLECH7++WeGDx+uXEtMTKR9+/a8/fbbyrknd/o+rmXLlujo6JCZmVml+suPS0xMxM/Pj4EDBwKPEr0ZGRkabcpal6qs55N0dHRKJaiFEEIIIYQQQogXjSSEhRBPbcKECcTGxrJr1y4MDQ2VWrPGxsbo6en9pbFNTEwYNGgQU6dOpVevXho7j0eOHMnMmTMZN24coaGhZGRksHTp0krH1NfXZ/z48UydOpW6devSuHFjFi9ezP3795V6xh9//DHHjx/n/PnzWFlZsXfvXnx8fDhx4gTa2tqVxlaWjz/+mMaNGyulEo4cOcLSpUvL3HX6V02fPp1XX32V4OBgAgMD0dfXJzU1lW+//ZbVq1cDj2rlHjlyhOHDh6Ojo0P9+vWrPL6npydGRkbMnz9fqWNckUGDBjF+/HjGjx9P165dadiwoXLN1taWDRs2cPDgQZo2bcrGjRtJSkoq9Q8LJQwNDQkJCeG9996juLiY1157jZycHBITEzEyMtJIzD/J1taW7du34+XlhUqlYvbs2Ro70qHsdanKegohxMtIavYKIYQQQgipISyEeGpr164lJyeHLl26YGFhoRxbtmx5JuMHBARQUFCAv7+/xnkDAwO++eYbLly4gJubGzNnzmTRokVVGjMyMpLBgwczevRoWrduzZUrVzh48CAmJib89NNPTJ06lTVr1ih/4r9mzRp+//33Ui+AKy+2shQXFxMaGoqrqyvu7u58/PHHLFq0qEoJ1afl7OzM4cOHuXTpEh07dsTNzY05c+ZoJGLDw8PJyMigefPmmJqaPtX4NWrUwM/Pj6KiIsaMGVNpe0NDQ7y8vDh37hw+Pj4a19566y0GDRrEsGHDeOWVV7h586bGbuGyzJs3j9mzZxMREYGDgwO9e/dm79695SaRSyxfvhwTExPat2+Pl5cXnp6etG7dWqNNWetSlfUUQgghhBBCCCFeRir144UihRDiBbBx40bee+89rl27puzOfVG8yLH93QICArhx4wa7d++u7lBeClV9u6sQQgghhBBCCPEsVPX3UCkZIYR4Ydy/f5+srCwiIyN56623XqiE64sc298tJyeHCxcuEBsbK8lgIYQQQgghhBDiJSclI4QQL4zFixfTokULzM3NCQ0Nre5wNLzIsf3dBgwYQK9evQgKCqJnz57VHY4QQgghhBBCCCH+AikZIYQQ/0IqlYodO3bg7e39zMa0trZm0qRJTJo06ZmN+TKTkhFCCCGEEEIIIZ6nqv4eKjuEhRDiOYiIiMDDwwNDQ0PMzMzw9vbm4sWL1RZPVlYWffr0qbb5y5OQkIBKpeLOnTvPZb6MjAxUKhUpKSnPZT4hhBBCCCGEEKK6SQ1hIYR4Dg4fPsyECRPw8PDg4cOHvP/++/Tq1YvU1FT09fWfezzm5ubPfc7nqaCg4F9V51kIIarKesbe6g7hhZYR2a+6QxBCCCGE+NvJDmEhhHgODhw4gJ+fH46Ojri4uBAdHU1mZiZnzpypsN/06dOxs7Ojdu3aNGvWjNmzZ1NYWKhcnzt3Lq6urqxfv57GjRtjYGDA22+/TVFREYsXL8bc3BwzMzMWLFigMa5KpWLnzp3A/98lu337drp27Urt2rVxcXHh+PHjGn22bduGo6MjOjo6WFtbs2zZslLx3r17lxEjRqCvr0+jRo34+OOPlWtl7ca9c+cOKpWKhIQEMjIy6Nq1KwAmJiaoVCr8/PzYsGED9erVIz8/X2Mub29vRo8erbEOn3/+OU2bNkVXV1dZ99dee406depQr149+vfvT3p6ujJG06ZNAXBzc0OlUtGlSxfl2ueff46DgwO6urq0aNGCNWvWVPishBBCCCGEEEKIl4EkhIUQohrk5OQAULdu3QrbGRoaEh0dTWpqKitXrmTdunV8+OGHGm3S09PZv38/Bw4cYPPmzXzxxRf069eP3377jcOHD7No0SJmzZrFyZMnK5xr5syZhISEkJKSgp2dHSNGjODhw4cAnDlzhqFDhzJ8+HAuXLjA3LlzmT17NtHR0RpjLFmyBBcXF5KTk5kxYwbvvvsu3377bZXWxMrKim3btgFw8eJFsrKyWLlyJUOGDKGoqIjdu3crbbOzs9m7dy/+/v7KuStXrrBt2za2b9+uJJ3v3bvH5MmTOX36NPHx8dSoUYOBAwdSXFwMwKlTpwA4dOgQWVlZbN++HYBNmzYxZ84cFixYQFpaGgsXLmT27NnExMSUG39+fj65ubkahxBCCCGEEEII8aKRkhFCCPGcFRcXM2nSJDp06ECrVq0qbDtr1izlZ2tra0JCQoiLi2PatGka461fvx5DQ0NatmxJ165duXjxIvv27aNGjRrY29uzaNEivvvuO1555ZVy5woJCaFfv0d/KhsWFoajoyNXrlyhRYsWLF++nO7duzN79mwA7OzsSE1NZcmSJfj5+SljdOjQgRkzZihtEhMT+fDDD+nZs2el66KlpaUkyM3MzKhTp45ybeTIkURFRTFkyBAAvvzySxo3bqyxo7egoIANGzZgamqqnBs8eLDGHOvXr8fU1JTU1FRatWqltK1Xr55GGY0PPviAZcuWMWjQIODRTuLU1FQ+/fRTfH19y4w/IiKCsLCwSu9TCCGEEEIIIYSoTrJDWAghnrMJEybwww8/EBcXp5wLCgrCwMBAOUps2bKFDh06YG5ujoGBAbNmzSIzM1NjPGtrawwNDZXPDRo0oGXLltSoUUPjXHZ2doVxOTs7Kz9bWFgAKH3S0tLo0KGDRvsOHTpw+fJlioqKlHPt2rXTaNOuXTvS0tIqnLcqxo0bx//93//x3//+F4Do6Gj8/PxQqVRKmyZNmmgkgwEuX77MiBEjaNasGUZGRlhbWwOUWsPH3bt3j/T0dAICAjSeyfz58zXKTTwpNDSUnJwc5fj111//wh0LIYQQQgghhBB/D9khLIQQz1FwcDB79uzhyJEjWFpaKufDw8MJCQnRaHv8+HF8fHwICwvD09MTY2Nj4uLiStXurVWrlsZnlUpV5rmSMgnlebxPSaK1sj5PoyRBrVarlXOP10OuiJubGy4uLmzYsIFevXrx448/snev5ouRyno5n5eXF02aNGHdunU0bNiQ4uJiWrVqRUFBQblz5eXlAbBu3bpSO6q1tLTK7aejo4OOjk6V7kcIIYQQQgghhKgukhAWQojnQK1W884777Bjxw4SEhKUl5mVMDMzw8zMTOPc999/T5MmTZg5c6Zy7urVq88l3ic5ODiQmJiocS4xMRE7OzuNJOmJEyc02pw4cQIHBwcAZfduVlYWbm5uABovmAPQ1tYG0Nh1XCIwMJAVK1bw3//+lx49emBlZVVhzDdv3uTixYusW7eOjh07AnDs2LFK52vQoAENGzbk559/xsfHp8I5hBBCCCGEEEKIl40khIUQ4jmYMGECsbGx7Nq1C0NDQ65fvw6AsbExenp6ZfaxtbUlMzOTuLg4PDw82Lt3Lzt27HieYSumTJmCh4cH8+bNY9iwYRw/fpzVq1ezZs0ajXaJiYksXrwYb29vvv32W7Zu3ars5NXT0+PVV18lMjKSpk2bkp2drVEjGR6VfVCpVOzZs4e+ffuip6enlNAYOXIkISEhrFu3jg0bNlQas4mJCfXq1eOzzz7DwsKCzMxMpb5xCTMzM/T09Dhw4ACWlpbo6upibGxMWFgYEydOxNjYmN69e5Ofn8/p06e5ffs2kydP/itLKYQQ1Sojsl91hyCEEEIIIaqZ1BAWQojnYO3ateTk5NClSxcsLCyUY8uWLeX2ef3113nvvfcIDg7G1dWV77//Xnmp2/PWunVrvvrqK+Li4mjVqhVz5swhPDxc44Vy8ChxfPr0adzc3Jg/fz7Lly/H09NTub5+/XoePnxImzZtmDRpEvPnz9fo36hRI8LCwpgxYwYNGjQgODhYuWZsbMzgwYMxMDDA29u70phr1KhBXFwcZ86coVWrVrz33nssWbJEo03NmjVZtWoVn376KQ0bNmTAgAHAo93In3/+OVFRUTg5OdG5c2eio6NL7ewWQgghhBBCCCFeNir148UchRBCiBdY9+7dcXR0ZNWqVdUdSqVyc3MxNjYmJycHIyOj6g5HCCGEEEIIIcQ/XFV/D5WSEUIIIV54t2/fJiEhgYSEhFJlKoQQQgghhBBCCFF1khAWQgjxwnNzc+P27dssWrQIe3v76g5HCCGEEEIIIYR4aUkNYSHEX6ZSqdi5cycAGRkZqFQqUlJSAEhISEClUnHnzp1nOuffNe6/xdy5c3F1dX2mY/j5+VWptu+fkZGRQU5ODiEhIX/L+EIIIYQQQgghxL+FJISF+AeIiIjAw8MDQ0NDzMzM8Pb25uLFixX22b59O+7u7tSpUwd9fX1cXV3ZuHHjX47FysqKrKwsWrVq9ZfHelmtW7eOjh07YmJigomJCT169ODUqVPVFs/jCfuXwfOO19ramhUrVjy3+YQQQgghhBBCiOokJSOE+Ac4fPgwEyZMwMPDg4cPH/L+++/Tq1cvUlNT0dfXL7NP3bp1mTlzJi1atEBbW5s9e/YwduxYzMzM8PT0/NOxaGlpYW5u/qf7PytFRUWoVCpq1Hj+/+6VkJDAiBEjaN++Pbq6uixatIhevXrx448/0qhRo+cez7+RWq2mqKiImjXlP3NCCPE46xl7qzuEF05GZL/qDkEI8f/Yu/Ooqsr24ePfA8o8IwooQwgiqCCKIw44haIkzlMqKqQlOYXT64SYiqY5VJZZgrNWKiqWpjxiivOAOSAKT4gVZZlMmoBw3j943D+PDOKI1vVZa6919t73cO37sGpxeXNtIYQQL5TsEBbiH2DPnj0EBQVRr149PD09iY6OJj09ndOnT5fZx9fXlx49euDm5kbt2rUZO3YsHh4eHD58uNy5rl69Sps2bdDT08Pd3Z19+/Zp3H+4ZMR9p0+fxtvbGwMDA1q2bKnsYE5LS0NLS4tTp05ptF+6dCkODg4UFRUB8O2331KnTh309fVp164daWlpGu2jo6MxMzNj586duLu7o6urS3p6Ordu3WLIkCGYm5tjYGBAly5duHr1KgB//PEH1tbWzJs3TxnnyJEj6OjoEBcXV+HYHrZhwwbeeecdGjZsSN26dfniiy8oKioiLi6u3LVVqVSsXLmSbt26YWBggJubG0ePHiUlJQVfX18MDQ1p2bIlqampGv127NhBo0aN0NPTw8nJidmzZ3Pv3j2gePcrQI8ePVCpVMr5fevWrcPR0RFTU1P69+9PTk4OAGvXrsXS0pK8vDyN9oGBgQwePLjc55g9ezZWVlaYmJgwatQo8vPzlXul7cZt2LAh4eHhZcZbke/hfgmR7777jsaNG6Orq8vhw4dJTU2le/fu1KhRAyMjI5o0acL+/fuVMXx9fbl27Rrjx49HpVKhUqmUe4cPH6Z169bo6+tjZ2fHmDFjuH37drnPLoQQQgghhBBCvOwkISzEP1BWVhZQvAu4ItRqNXFxcSQnJ9OmTZsy2xUVFdGzZ090dHQ4fvw4n332GZMnT67QHNOmTWPx4sWcOnWKKlWqMHz4cKA4AdixY0eioqI02kdFRREUFISWlhbXr1+nZ8+eBAQEkJiYSHBwMFOmTCkxx507d1iwYAFffPEFFy9epHr16gQFBXHq1Cl27tzJ0aNHUavV+Pv7U1BQgJWVFatXryY8PJxTp06Rk5PD4MGDCQ0NpUOHDhWKrSLu3LlDQUFBhb6POXPmMGTIEBITE6lbty4DBw5k5MiRTJ06lVOnTqFWqwkNDVXaHzp0iCFDhjB27FguXbrEypUriY6OZu7cuQCcPHlSiTkjI0M5B0hNTSUmJobY2FhiY2M5ePAgkZGRAPTp04fCwkJ27typtL9x4wa7d+9WvrvSxMXFkZSURHx8PJs2bWLbtm3Mnj27QutUVryP8z1MmTKFyMhIkpKS8PDwIDc3F39/f+Li4jh79iydO3cmICCA9PR0oLh0Sq1atYiIiCAjI4OMjAxlbTp37kyvXr348ccf2bJlC4cPH9ZY+4fl5eWRnZ2tcQghhBBCCCGEEC8bSQgL8Q9TVFTEuHHj8PHxeWQd36ysLIyMjNDR0aFr16589NFHdOrUqcz2+/fv5/Lly6xduxZPT0/atGmjsbu2PHPnzqVt27a4u7szZcoUjhw5wt27dwEIDg5m06ZNym7UM2fOcP78eYYNGwbAp59+Su3atVm8eDGurq4MGjSIoKCgEnMUFBSwYsUKWrZsiaurK7/88gs7d+7kiy++oHXr1nh6erJhwwZ++eUXpUatv78/ISEhDBo0iFGjRmFoaMj8+fOVMR8VW0VMnjwZW1tbOnbs+Mi2w4YNo2/fvtSpU4fJkyeTlpbGoEGD8PPzw83NjbFjxxIfH6+0nz17NlOmTGHo0KE4OTnRqVMn5syZw8qVKwGwsrICwMzMDGtra+Ucin9WoqOjqV+/Pq1bt2bw4MHKLmZ9fX0GDhyokYRdv3499vb2+Pr6lhm/jo4Oq1evpl69enTt2pWIiAiWL19e5m7qh5UVb0W/h4iICDp16kTt2rWxsLDA09OTkSNHUr9+fVxcXJgzZw61a9dWEt0WFhZoa2tjbGyMtbW1Uu5k/vz5DBo0iHHjxuHi4kLLli1Zvnw5a9euVX5uHzZ//nxMTU2Vw87OrkLPLIQQQgghhBBCvEiSEBbiH2b06NFcuHCBzZs3P7KtsbExiYmJnDx5krlz5zJhwgQl2Thv3jyMjIyUIz09naSkJOzs7LC1tVXGaNGiRYXi8vDwUD7b2NgAxTtOobgMgba2Ntu3bweKyz+0a9dOKR+QlJREs2bNNMYrbV4dHR2NeZKSkqhSpYpGX0tLS1xdXUlKSlKuLVq0iHv37vH111+zYcMGdHV1lXvlxZaenq6xRqUlxyMjI9m8eTPbt29HT08PKH1tS1unGjVqANCgQQONa3fv3lV2n547d46IiAiN8UJCQsjIyODOnTsl4nmQo6MjxsbGyrmNjY3ynQCEhITw/fff88svvyjPHhQUpFFW4WGenp4YGBgo5y1atCA3N5fr16+XG8ujPOpn5D5vb2+N89zcXMLCwnBzc8PMzAwjIyOSkpI01rw0586dIzo6WmNd/fz8KCoq4qeffiq1z9SpU8nKylKOp31mIYQQQgghhBDieZC37QjxDxIaGkpsbCw//PADtWrVemR7LS0tnJ2dgeI6rklJScyfPx9fX19GjRpF3759lbYPJoGfRNWqVZXP9xOK93eN6ujoMGTIEKKioujZsycbN25k2bJljz2Hvr5+ucnKsqSmpvLrr79SVFREWlqaRgK2vNhsbW01aiU/XBJi0aJFREZGsn//fo1Eb3lrW9o6lbd2ubm5zJ49m549e5Z4rvsJ6LI8OO79sR/cyevl5YWnpydr165VXoq3e/fTvYxIS0sLtVqtca2goOCR/Sr6M/LwSxTDwsLYt28fixYtwtnZGX19fXr37q1R17g0ubm5jBw5kjFjxpS4Z29vX2ofXV1djX9MEEIIIYQQQgghXkaSEBbiH0CtVvPuu++yfft24uPjee21155onKKiIuVP8i0sLEokON3c3Lh+/ToZGRnKLt9jx449XfD/ExwcTP369VmxYgX37t3TSHC6ublp1LKt6Lxubm7cu3eP48eP07JlSwBu3rxJcnIy7u7uAOTn5/Pmm2/Sr18/XF1dCQ4O5vz581SvXv2RsVWpUkVJqD9s4cKFzJ07l71795bYtVra2j6pRo0akZycXGYcUJz4LSwsfKLxg4ODWbp0Kb/88gsdO3Z8ZBmEc+fO8ffff6Ovrw8Uf09GRkZKPysrK6VOL0B2dnaJHbdlxVvez0hZEhISCAoKokePHkBxovfhFxLq6OiUmK9Ro0ZcunSp3HUVQgghhBBCCCFeRZIQFuIfYPTo0WzcuJEdO3ZgbGzMb7/9BoCpqamSmHvY/Pnz8fb2pnbt2uTl5fHtt9+ybt06Pv300zLn6dixI3Xq1GHo0KF88MEHZGdnM23atGfyDG5ubjRv3pzJkyczfPhwjbhHjRrF4sWLmThxIsHBwZw+fZro6OhHjuni4kL37t0JCQlh5cqVGBsbM2XKFGrWrEn37t2B4pfdZWVlsXz5coyMjPj2228ZPnw4sbGxFYqtNAsWLGDmzJls3LgRR0dH5fu4X3rgWZo5cybdunXD3t6e3r17o6Wlxblz57hw4QLvv/8+UFwaIi4uDh8fH3R1dTE3N6/w+AMHDiQsLIxVq1axdu3aR7bPz89nxIgRTJ8+nbS0NGbNmkVoaKjy4rf27dsTHR1NQEAAZmZmzJw5E21tbY0xyor3cb8HKP4Z2LZtGwEBAahUKmbMmFGinrGjoyM//PAD/fv3R1dXl2rVqjF58mSaN29OaGgowcHBGBoacunSJfbt28fHH39c0eUTQoiXTlpk18oOQQghhBBCVDKpISzEP8Cnn35KVlYWvr6+2NjYKMeWLVuUNkFBQRovA7t9+zbvvPMO9erVw8fHh61bt7J+/XqCg4PLnEdLS4vt27fz999/07RpU4KDg5k7d+4ze44RI0aQn5/P8OHDNa7b29uzdetWYmJi8PT05LPPPqvwy+yioqJo3Lgx3bp1o0WLFqjVar799luqVq1KfHw8S5cuZd26dZiYmKClpcW6des4dOhQicR4WbGV5tNPPyU/P5/evXtrfB+LFi2q+GJUkJ+fH7GxsXz//fc0adKE5s2bs2TJEhwcHJQ2ixcvZt++fdjZ2eHl5fVY45uamtKrVy+MjIwIDAx8ZPsOHTrg4uJCmzZt6NevH2+88Qbh4eHK/alTp9K2bVu6detG165dCQwMpHbt2hpjlBfv43wPAB9++CHm5ua0bNmSgIAA/Pz8aNSokUabiIgI0tLSqF27tvISOw8PDw4ePMiVK1do3bo1Xl5ezJw586lLpwghhBBCCCGEEJVNpX64mKMQ4h+pbdu2tGvXTiM597KZM2cOX3/9NT/++GNlh1LCyxzb89ahQwfq1avH8uXLKzuUV+p7yM7OxtTUlKysLExMTCo7HCGEEEIIIYQQ/3AV/T1USkYI8S+QlZVFamrqU78Q7Hm5X9f1448/VsocvCxe5tiet1u3bhEfH098fDwrVqyo1Fj+zd+DEEIIIYQQQgjxLEnJCCH+BUxNTfn555+fef3aZyU0NJTGjRvj6+tb4VIAL8rLHNvz5uXlRVBQEAsWLMDV1bVSY/k3fw9CCCGEEEIIIcSzJCUjhBD/euHh4cTExJCYmPjMxggKCiIzM5OYmJgnHjM+Pp527dpx69YtzMzMSm0THR3NuHHjyMzMfOJ5HpdKpWL79u0Vqin8byYlI4QQQgghhBBCvEgV/T1UdggLIZ67H374gYCAAGxtbVGpVE+VJH1aL2r+ZcuWER0d/VRjtGzZkoyMDExNTZ9NUP9gjo6OLF269LH7+fr6Mm7cuGcejxBCCCGEEEII8bKSGsJCiOfu9u3beHp6Mnz4cHr27FnZ4bwQzyKJq6Ojg7W19TOIRgghhCjmOKX89wmkRXZ9QZEIIYQQQojKIjuEhRDPXZcuXXj//ffp0aNHhfuoVCpWrlxJt27dMDAwwM3NjaNHj5KSkoKvry+Ghoa0bNmS1NRUjX47duygUaNG6Onp4eTkxOzZs7l37x5QvIsUoEePHqhUKuX8vnXr1uHo6IipqSn9+/cnJycHgLVr12JpaUleXp5G+8DAQAYPHlxq/EFBQRolFXx9fXn33XcZN24c5ubm1KhRg1WrVnH79m2GDRuGsbExzs7OfPfdd0qf+Ph4VCqVRjmI6Oho7O3tMTAwoEePHty8eVNj3tTUVLp3706NGjUwMjKiSZMm7N+/v8SYDx9BQUFKm08//ZTatWujo6ODq6sr69atK/UZ77t+/Tp9+/bFzMwMCwsLunfvTlpamnL/5MmTdOrUiWrVqmFqakrbtm05c+aMxhiZmZmMHDmSGjVqoKenR/369YmNjVXuHz58mNatW6Ovr4+dnR1jxozh9u3bytpeu3aN8ePHK88DcPPmTQYMGEDNmjUxMDCgQYMGbNq0SeM7OnjwIMuWLVP63Y/7woULdOnSBSMjI2rUqMHgwYP5888/y10HIYQQQgghhBDiVSAJYSHES2vOnDkMGTKExMRE6taty8CBAxk5ciRTp07l1KlTqNVqQkNDlfaHDh1iyJAhjB07lkuXLrFy5Uqio6OZO3cuUJyYBIiKiiIjI0M5h+JEakxMDLGxscTGxnLw4EEiIyMB6NOnD4WFhezcuVNpf+PGDXbv3v1YLzhbs2YN1apV48SJE7z77ru8/fbb9OnTh5YtW3LmzBlef/11Bg8ezJ07d0rtf/z4cUaMGEFoaCiJiYm0a9eO999/X6NNbm4u/v7+xMXFcfbsWTp37kxAQADp6enA/5WhuH/85z//QU9PjzZt2gCwfft2xo4dy3vvvceFCxcYOXIkw4YN48CBA6XGVFBQgJ+fH8bGxhw6dIiEhASMjIzo3Lkz+fn5AOTk5DB06FAOHz7MsWPHcHFxwd/fX0m4FxUV0aVLFxISEli/fj2XLl0iMjISbW1t5bvp3LkzvXr14scff2TLli0cPnxY+e63bdtGrVq1iIiIUJ4L4O7duzRu3Jjdu3dz4cIF3nrrLQYPHsyJEyeA4rIeLVq0ICQkROlnZ2dHZmYm7du3x8vLi1OnTrFnzx5+//13+vbtW+73m5eXR3Z2tsYhhBBCCCGEEEK8dNRCCPECAert27dXqN306dOV86NHj6oB9Zdffqlc27Rpk1pPT08579Chg3revHka46xbt05tY2NT7vyzZs1SGxgYqLOzs5VrEydOVDdr1kw5f/vtt9VdunRRzhcvXqx2cnJSFxUVKWN4enoq94cOHaru3r27ct62bVt1q1atlPN79+6pDQ0N1YMHD1auZWRkqAH10aNH1Wq1Wn3gwAE1oL5165ZarVarBwwYoPb399eIvV+/fmpTU1N1eerVq6f+6KOPSlz/888/1U5OTup33nlHudayZUt1SEiIRrs+ffpozPvgGq5bt07t6uqqrINarVbn5eWp9fX11Xv37i01nsLCQrWxsbF6165darVard67d69aS0tLnZycXGr7ESNGqN966y2Na4cOHVJraWmp//77b7VarVY7ODiolyxZUsYK/J+uXbuq33vvPeW8bdu26rFjx2q0mTNnjvr111/XuHb9+nU1UGaManXxzwBQ4sjKynpkXEII8aI4TI4t9xBCCCGEEK+urKysCv0eKjuEhRCVat68eRgZGSnH/Z2sAB4eHsrnGjVqANCgQQONa3fv3lV2Yp47d46IiAiN8e7v/ixr1+19jo6OGBsbK+c2NjbcuHFDOQ8JCeH777/nl19+AYpLNwQFBSnlCSriwefR1tbG0tKyxPMAGvM+KCkpiWbNmmlca9GihcZ5bm4uYWFhuLm5YWZmhpGREUlJSRrrCsU7e3v16oWDgwPLli3TmMPHx0ejrY+PD0lJSaXGdO7cOVJSUjA2NlbW3MLCgrt37yrlPH7//XdCQkJwcXHB1NQUExMTcnNzlZgSExOpVasWderUKXOO6Ohoje/Vz8+PoqIifvrpp1L7ABQWFjJnzhwaNGiAhYUFRkZG7N27t8RalDbfgQMHNOarW7cuQIkSJQ+aOnUqWVlZynH9+vVy5xFCCCGEEEIIISqDvFROCFGpRo0apfGn+La2tsrnqlWrKp/vJ15Lu1ZUVAQUJ0Nnz55d6ovr9PT0yo3jwXHvj31/XAAvLy88PT1Zu3Ytr7/+OhcvXmT37vJfzFOROcp7nicRFhbGvn37WLRoEc7Ozujr69O7d2+lfMN9b7/9NtevX+fEiRNUqfLk/yvIzc2lcePGbNiwocQ9KysrAIYOHcrNmzdZtmwZDg4O6Orq0qJFCyUmfX39R84xcuRIxowZU+Kevb19mf0++OADli1bxtKlS2nQoAGGhoaMGzeuxFqUNl9AQAALFiwocc/GxqbMfrq6uujq6pY7thBCCCGEEEIIUdkkISyEqFQWFhZYWFg8k7EaNWpEcnIyzs7OZbapWrUqhYWFTzR+cHAwS5cu5ZdffqFjx47Y2dk9aahPxM3NjePHj2tcO3bsmMZ5QkICQUFBygv8cnNzNV7wBvDhhx/y1VdfceTIESwtLUvMkZCQwNChQzXGdHd3LzWmRo0asWXLFqpXr46JiUmpbRISElixYgX+/v5A8UvoHnxBm4eHBz///DNXrlwpdZdwo0aNuHTpUrnfq46OTonvNSEhge7du/Pmm28CxYn2K1euaDxLaf0aNWrE1q1bcXR0fKpkuRBCCCGEEEII8TKS33SFEM9dbm4uKSkpyvlPP/1EYmIiFhYW5e7wfFwzZ86kW7du2Nvb07t3b7S0tDh37hwXLlxQXr7m6OhIXFwcPj4+6OrqYm5uXuHxBw4cSFhYGKtWrWLt2rXPLO6KGjNmDD4+PixatIju3buzd+9e9uzZo9HGxcWFbdu2ERAQgEqlYsaMGRo7jvfv38+kSZP45JNPqFatGr/99htQvEvX1NSUiRMn0rdvX7y8vOjYsSO7du1i27Zt7N+/v9SYBg0axAcffED37t2JiIigVq1aXLt2jW3btjFp0iRq1aqFi4sL69atw9vbm+zsbCZOnKixK7ht27a0adOGXr168eGHH+Ls7Mzly5dRqVR07tyZyZMn07x5c0JDQwkODsbQ0JBLly6xb98+Pv74Y6D4e/3hhx/o378/urq6VKtWDRcXF7755huOHDmCubk5H374Ib///rtGQtjR0ZHjx4+TlpamlLsYPXo0q1atYsCAAUyaNAkLCwtSUlLYvHkzX3zxhfKyOyGEeBWlRXat7BCEEEIIIUQlkxrCQojn7tSpU3h5eeHl5QXAhAkT8PLyYubMmc90Hj8/P2JjY/n+++9p0qQJzZs3Z8mSJTg4OChtFi9ezL59+7Czs1PiqShTU1N69eqFkZERgYGBzzT2imjevDmrVq1i2bJleHp68v333zN9+nSNNh9++CHm5ua0bNmSgIAA/Pz8aNSokXL/8OHDFBYWMmrUKGxsbJRj7NixAAQGBrJs2TIWLVpEvXr1WLlyJVFRUfj6+pYak4GBAT/88AP29vb07NkTNzc3RowYwd27d5Udw19++SW3bt2iUaNGDB48mDFjxlC9enWNcbZu3UqTJk0YMGAA7u7uTJo0Sdm56+HhwcGDB7ly5QqtW7dWfnYeLC8SERFBWloatWvXVkpVTJ8+nUaNGuHn54evry/W1tYlvrewsDC0tbVxd3fHysqK9PR0bG1tSUhIoLCwkNdff50GDRowbtw4zMzM0NKS/20KIYQQQgghhHi1qdRqtbqygxBCiFdFhw4dqFevHsuXL6/sUMRLLjs7G1NTU7KyssospyGEEEIIIYQQQjwrFf09VEpGCCFEBdy6dYv4+Hji4+NZsWJFZYcjhBBCCCGEEEII8UQkISyEEBXg5eXFrVu3WLBgAa6urpUdjhBCCCGEEEIIIcQTkWKIQghRAWlpaWRlZREWFlbZoTwT4eHhNGzY8JmOERQU9Mjayo6OjixduvSJ54yOjsbMzOyZxyWEEEIIIYQQQvxbSEJYCCGegx9++IGAgABsbW1RqVTExMRUWiyVPf+DTp48yVtvvVWhtqUlj/v168eVK1cea85ly5YRHR39WH2EEEIIIYQQQoh/KikZIYQQz8Ht27fx9PRk+PDh9OzZs7LDeWlYWVk9VX99fX309fUfq4+pqelTzSmEEP8kjlN2V3YIz0RaZNfKDkEIIYQQ4pUlO4SFEOI56NKlC++//z49evSocB+VSsXKlSvp1q0bBgYGuLm5cfToUVJSUvD19cXQ0JCWLVuSmpqq0W/Hjh00atQIPT09nJycmD17Nvfu3QOKd9kC9OjRA5VKpZzft27dOhwdHTE1NaV///7k5OQAsHbtWiwtLcnLy9NoHxgYyODBg8t9jkWLFmFjY4OlpSWjR4+moKBAuffgrl+1Wk14eDj29vbo6upia2vLmDFjAPD19eXatWuMHz8elUqFSqUCSi8ZERkZSY0aNTA2NmbEiBHcvXtX4/7DJSN8fX0ZM2YMkyZNwsLCAmtra8LDwzX6ZGZmEhwcjJWVFSYmJrRv355z586V+9xCCCGEEEIIIcSrQBLCQgjxEpkzZw5DhgwhMTGRunXrMnDgQEaOHMnUqVM5deoUarWa0NBQpf2hQ4cYMmQIY8eO5dKlS6xcuZLo6Gjmzp0LFJdoAIiKiiIjI0M5B0hNTSUmJobY2FhiY2M5ePAgkZGRAPTp04fCwkJ27typtL9x4wa7d+9m+PDhZcZ/4MABUlNTOXDgAGvWrCE6OrrMcg1bt25lyZIlrFy5kqtXrxITE0ODBg0A2LZtG7Vq1SIiIoKMjAwyMjJKHeOrr74iPDycefPmcerUKWxsbFixYsUj13nNmjUYGhpy/PhxFi5cSEREBPv27VPu9+nThxs3bvDdd99x+vRpGjVqRIcOHfjrr7/KHDMvL4/s7GyNQwghhBBCCCGEeNlIQlgIIV4iw4YNo2/fvtSpU4fJkyeTlpbGoEGD8PPzw83NjbFjxxIfH6+0nz17NlOmTGHo0KE4OTnRqVMn5syZw8qVK4H/K9FgZmaGtbW1RsmGoqIioqOjqV+/Pq1bt2bw4MHExcUBxaUZBg4cSFRUlNJ+/fr12Nvb4+vrW2b85ubmfPzxx9StW5du3brRtWtXZcyHpaenY21tTceOHbG3t6dp06aEhIQAYGFhgba2NsbGxlhbW2NtbV3qGEuXLmXEiBGMGDECV1dX3n//fdzd3R+5zh4eHsyaNQsXFxeGDBmCt7e3Eufhw4c5ceIEX3/9Nd7e3ri4uLBo0SLMzMz45ptvyhxz/vz5mJqaKoednd0j4xBCCCGEEEIIIV40SQgLIcQLNm/ePIyMjJQjPT1duefh4aF8rlGjBoCya/b+tbt37yq7T8+dO0dERITGeCEhIWRkZHDnzp1y43B0dMTY2Fg5t7Gx4caNG8p5SEgI33//Pb/88gtQXK4hKChIKd9Qmnr16qGtrV3mmA/q06cPf//9N05OToSEhLB9+3al1EVFJSUl0axZM41rLVq0eGS/B9f54TjPnTtHbm4ulpaWGuv6008/lSjX8aCpU6eSlZWlHNevX3+sZxFCCCGEEEIIIV4EeamcEEK8YKNGjaJv377Kua2trfK5atWqyuf7idfSrhUVFQGQm5vL7NmzS31xnZ6eXrlxPDju/bHvjwvg5eWFp6cna9eu5fXXX+fixYvs3l3+y4geNeaD7OzsSE5OZv/+/ezbt4933nmHDz74gIMHD5YY51krL87c3FxsbGw0dmLf93D94gfp6uqiq6v7LMMUQgghhBBCCCGeOUkICyHEC2ZhYYGFhcUzGatRo0YkJyfj7OxcZpuqVatSWFj4ROMHBwezdOlSfvnlFzp27PjMyyDo6+sTEBBAQEAAo0ePpm7dupw/f55GjRqho6PzyLjd3Nw4fvw4Q4YMUa4dO3bsqWJq1KgRv/32G1WqVCnxEj4hhHjVpUV2rewQhBBCCCFEJZOEsBBCPAe5ubmkpKQo5z/99BOJiYlYWFhgb2//zOaZOXMm3bp1w97ent69e6OlpcW5c+e4cOEC77//PlBcGiIuLg4fHx90dXUxNzev8PgDBw4kLCyMVatWsXbt2mcWNxSXoCgsLKRZs2YYGBiwfv169PX1cXBwUOL+4Ycf6N+/P7q6ulSrVq3EGGPHjiUoKAhvb298fHzYsGEDFy9exMnJ6Ynj6tixIy1atCAwMJCFCxdSp04dfv31V3bv3k2PHj3w9vZ+4rGFEEIIIYQQQojKJjWEhRDiOTh16hReXl54eXkBMGHCBLy8vJg5c+YzncfPz4/Y2Fi+//57mjRpQvPmzVmyZImSVAVYvHgx+/btw87OTomnokxNTenVqxdGRkYEBgY+09jNzMxYtWoVPj4+eHh4sH//fnbt2oWlpSUAERERpKWlUbt2bY2X4T2oX79+zJgxg0mTJtG4cWOuXbvG22+//VRxqVQqvv32W9q0acOwYcOoU6cO/fv359q1a0pdZyGEEEIIIYQQ4lWlUqvV6soOQgghxMurQ4cO1KtXj+XLl1d2KK+U7OxsTE1NycrKwsTEpLLDEUIIIYQQQgjxD1fR30OlZIQQQohS3bp1i/j4eOLj41mxYkVlhyOEEEIIIYQQQohnQEpGCCHEP1R4eDgNGzZ84v5eXl4EBQWxYMECXF1dH6uvSqUiJibmied+Gk/73EIIIYQQQgghxD+ZJISFEOIBvr6+jBs37oXNFx0djZmZ2Qub73GkpaWRlZVFWFhYpcwfFBT0RHWLw8LCiIuLe/YBCSGEEEIIIYQQ/wBSMkIIIR6TWq2msLCQKlXkP6EvIyMjI4yMjCo7DCGEeGKOU3Y/t7HTIrs+t7GFEEIIIcSrQXYICyHE/wQFBXHw4EGWLVuGSqVCpVKRlpZGfHw8KpWK7777jsaNG6Orq8v69evR0tLi1KlTGmMsXboUBwcHioqKlH67d+/Gw8MDPT09mjdvzoULFwCIj49n2LBhZGVlKfOFh4cDxfV7hwwZgrm5OQYGBnTp0oWrV68q89zfWRwTE4OLiwt6enr4+flx/fr1Es+1bt06HB0dMTU1pX///uTk5Cj39uzZQ6tWrTAzM8PS0pJu3bqRmpqq3E9LS0OlUrFt2zbatWuHgYEBnp6eHD169JHrmZGRQZcuXdDX18fJyYlvvvlG4/7169fp27cvZmZmWFhY0L17d9LS0oDisg9r1qxhx44dytrEx8cDMHnyZOrUqYOBgQFOTk7MmDGDgoICZdyHS0bc32m8aNEibGxssLS0ZPTo0Rp98vLyCAsLo2bNmhgaGtKsWTNlPiGEEEIIIYQQ4p9EEsJCCPE/y5Yto0WLFoSEhJCRkUFGRgZ2dnbK/SlTphAZGUlSUhJvvPEGHTt2JCoqSmOMqKgogoKC0NL6v/+8Tpw4kcWLF3Py5EmsrKwICAigoKCAli1bsnTpUkxMTJT57pdnCAoK4tSpU+zcuZOjR4+iVqvx9/fXSGLeuXOHuXPnsnbtWhISEsjMzKR///4a8aSmphITE0NsbCyxsbEcPHiQyMhI5f7t27eZMGECp06dIi4uDi0tLXr06EFRUZHGONOmTSMsLIzExETq1KnDgAEDuHfvXrnrOWPGDHr16sW5c+cYNGgQ/fv3JykpCYCCggL8/PwwNjbm0KFDJCQkYGRkROfOncnPzycsLIy+ffvSuXNnZW1atmwJgLGxMdHR0Vy6dIlly5axatUqlixZUm4sBw4cIDU1lQMHDrBmzRqio6OJjo5W7oeGhnL06FE2b97Mjz/+SJ8+fejcubNGEl4IIYQQQgghhPgnkL93FkKI/zE1NUVHRwcDAwOsra1L3I+IiKBTp07KeXBwMKNGjeLDDz9EV1eXM2fOcP78eXbs2KHRb9asWUq/NWvWUKtWLbZv307fvn0xNTVFpVJpzHf16lV27txJQkKCkgTdsGEDdnZ2xMTE0KdPH6A4qfrxxx/TrFkzZWw3NzdOnDhB06ZNASgqKiI6OhpjY2MABg8eTFxcHHPnzgWgV69eGrGuXr0aKysrLl26RP369ZXrYWFhdO1a/GfGs2fPpl69eqSkpFC3bt0y17NPnz4EBwcDMGfOHPbt28dHH33EihUr2LJlC0VFRXzxxReoVCqgOJluZmZGfHw8r7/+Ovr6+uTl5ZX4LqZPn658dnR0JCwsjM2bNzNp0qQyYzE3N+fjjz9GW1ubunXr0rVrV+Li4ggJCSE9PZ2oqCjS09OxtbVVnnfPnj1ERUUxb968Msd9UF5eHnl5ecp5dnZ2hfoJIYQQQgghhBAvkuwQFkKICvL29tY4DwwMRFtbm+3btwPFZRzatWuHo6OjRrsWLVoony0sLHB1dVV2ypYmKSmJKlWqKIleAEtLyxL9qlSpQpMmTZTzunXrYmZmptHG0dFRSQYD2NjYcOPGDeX86tWrDBgwACcnJ0xMTJTY09PTNWLy8PDQGAPQGKc0Dz73/fP7sZ07d46UlBSMjY2Vmr8WFhbcvXtXo2RFabZs2YKPjw/W1tYYGRkxffr0EvE+rF69emhra2s8w/34z58/T2FhIXXq1FFiMTIy4uDBg4+M5UHz58/H1NRUOR7cXS6EEEIIIYQQQrwsZIewEEJUkKGhoca5jo4OQ4YMISoqip49e7Jx40aWLVtWSdGVrmrVqhrnKpVKoxxEQEAADg4OrFq1CltbW4qKiqhfvz75+flljnN/R+/DZSUeR25uLo0bN2bDhg0l7llZWZXZ7+jRowwaNIjZs2fj5+eHqakpmzdvZvHixeXOV9465Obmoq2tzenTpzWSxsBjvZxu6tSpTJgwQTnPzs6WpLAQQgghhBBCiJeOJISFEOIBOjo6FBYWVrh9cHAw9evXZ8WKFdy7d4+ePXuWaHPs2DHs7e2B4pfFXblyBTc3tzLnc3Nz4969exw/flwpGXHz5k2Sk5Nxd3dX2t27d49Tp04p5SGSk5PJzMxUxn6U+2OuWrWK1q1bA3D48OEKP/ujHDt2jCFDhmice3l5AdCoUSO2bNlC9erVMTExKbV/aWtz5MgRHBwcmDZtmnLt2rVrTxWnl5cXhYWF3LhxQ1mHJ6Grq4uuru5TxSKEEEIIIYQQQjxvkhAWQogHODo6cvz4cdLS0pQyBuVxc3OjefPmTJ48meHDh6Ovr1+iTUREBJaWltSoUYNp06ZRrVo1AgMDlflyc3OJi4vD09MTAwMDXFxc6N69OyEhIaxcuRJjY2OmTJlCzZo16d69uzJu1apVeffdd1m+fDlVqlQhNDSU5s2bKwniRzE3N8fS0pLPP/8cGxsb0tPTmTJlSsUX6xG+/vprvL29adWqFRs2bODEiRN8+eWXAAwaNIgPPviA7t27ExERQa1atbh27Rrbtm1j0qRJ1KpVC0dHR/bu3UtycjKWlpaYmpri4uJCeno6mzdvpkmTJuzevVsp2fGk6tSpw6BBgxgyZAiLFy/Gy8uLP/74g7i4ODw8PJTayUII8aKkRcp/d4QQQgghxPMjNYSFEOIBYWFhaGtr4+7ujpWV1SNr0wKMGDGC/Px8hg8fXur9yMhIxo4dS+PGjfntt9/YtWsXOjo6ALRs2ZJRo0bRr18/rKysWLhwIVD8grXGjRvTrVs3WrRogVqt5ttvv9UofWBgYMDkyZMZOHAgPj4+GBkZsWXLlgo/q5aWFps3b+b06dPUr1+f8ePH88EHH1S4/6PMnj2bzZs34+Hhwdq1a9m0aZOyw9nAwIAffvgBe3t7evbsiZubGyNGjODu3bvKjuGQkBBcXV3x9vbGysqKhIQE3njjDcaPH09oaCgNGzbkyJEjzJgx46ljjYqKYsiQIbz33nu4uroSGBjIyZMnlZ3dQgghhBBCCCHEP4VKrVarKzsIIYR4lc2ZM4evv/6aH3/8UeN6fHw87dq149atW5iZmT3TOaOjoxk3bhyZmZnPdFzx7GRnZ2NqakpWVlaZZTGEEEIIIYQQQohnpaK/h8oOYSGEeEK5ublcuHCBjz/+mHfffbeywxFCCCGEEEIIIYR4JEkICyHEEwoNDaVx48b4+vqWWS5CCCGEEEIIIYQQ4mUiCWEhhHhC0dHR5OXlsWXLFrS1tUvc9/X1Ra1WP/NyEQBBQUGVWi5CpVIRExNTobbh4eE0bNjwucUSFBSkvKQPitd93LhxyrmjoyNLly59bvMLIYQQQgghhBCvEkkICyHEcxYUFIRKpSIyMlLjekxMDCqVqpKiKvZw8vR5CAsLIy4uTjl/OIH7vJ08eZK33nrrhc0nhBBCCCGEEEK8zKpUdgBCCPFvoKenx4IFCxg5ciTm5uaVHc4LZWRkhJGR0WP3KygooGrVqk89v5WV1VOPIYR4thyn7K7sEP610iK7VnYIQgghhBCikskOYSGEeAE6duyItbU18+fPr3Cf1NRUunfvTo0aNTAyMqJJkybs379fo01eXh6TJ0/Gzs4OXV1dnJ2d+fLLL5X7Fy5coEuXLhgZGVGjRg0GDx7Mn3/+CRTv1D148CDLli1DpVKhUqn46aefcHZ2ZtGiRRrzJCYmolKpSElJKTXWn3/+mQEDBmBhYYGhoSHe3t4cP34c0CwZER4ezpo1a9ixY4cyZ3x8PGlpaahUKrZs2ULbtm3R09Njw4YNpZabWLp0KY6OjhVex4dLRqhUKr744gt69OiBgYEBLi4u7Ny5U6NPeesmhBBCCCGEEEK8yiQhLIQQL4C2tjbz5s3jo48+4ueff65Qn9zcXPz9/YmLi+Ps2bN07tyZgIAA0tPTlTZDhgxh06ZNLF++nKSkJFauXKnsxs3MzKR9+/Z4eXlx6tQp9uzZw++//07fvn0BWLZsGS1atCAkJISMjAwyMjKwt7dn+PDhREVFacQSFRVFmzZtcHZ2LjXOtm3b8ssvv7Bz507OnTvHpEmTKCoqKtE2LCyMvn370rlzZ2XOli1bKvenTJnC2LFjSUpKws/Pr0Lr9CRmz55N3759+fHHH/H392fQoEH89ddfwKPXTQghhBBCCCGEeJVJyQghhHhBevToQcOGDZk1a5bGLt6yeHp64unpqZzPmTOH7du3s3PnTkJDQ7ly5QpfffUV+/bto2PHjgA4OTkp7T/++GO8vLyYN2+ecm316tXY2dlx5coV6tSpg46ODgYGBlhbWyttgoKCmDlzJidOnKBp06YUFBSwcePGEruG79u4cSN//PEHJ0+exMLCAqDUxDEUl4/Q19cnLy9PY877xo0bR8+ePR+5Nk8rKCiIAQMGADBv3jyWL1/OiRMn6Ny5c4XWrTR5eXnk5eUp59nZ2c/3IYQQQgghhBBCiCcgO4SFEOIFWrBgAWvWrCEpKUnj+v06u0ZGRowaNQoo3nkbFhaGm5sbZmZmGBkZkZSUpOwQTkxMRFtbm7Zt25Y617lz5zhw4IDG2HXr1gWKy1GUxdbWlq5du7J69WoAdu3aRV5eHn369Cm1fWJiIl5eXkoy+Gl4e3s/9RgV4eHhoXw2NDTExMSEGzduAE++bvPnz8fU1FQ57Ozsnu9DCCGEEEIIIYQQT0B2CAshxAvUpk0b/Pz8mDp1KkFBQcr1xMRE5bOJiQlQXF5h3759LFq0CGdnZ/T19enduzf5+fkA6OvrlztXbm4uAQEBLFiwoMQ9GxubcvsGBwczePBglixZQlRUFP369cPAwKDUto+K43EYGhpqnGtpaaFWqzWuFRQUPPU8D7+sTqVSKSUunnTdpk6dyoQJE5Tz7OxsSQoLIYQQQgghhHjpSEJYCCFesMjISBo2bIirq6tyrbQSCwkJCQQFBdGjRw+gOFGZlpam3G/QoAFFRUUcPHhINGQGAAEAAElEQVRQKRnxoEaNGrF161YcHR2pUqX0/9zr6OhQWFhY4rq/vz+GhoZ8+umn7Nmzhx9++KHM5/Hw8OCLL77gr7/+qtAu4bLmLI2VlRW//fYbarUalUoFaCbPn4eKrFtpdHV10dXVfY6RCSGEEEIIIYQQT08SwkII8YI1aNCAQYMGsXz58nLbubi4sG3bNgICAlCpVMyYMUPjRW2Ojo4MHTqU4cOHs3z5cjw9Pbl27Ro3btygb9++jB49mlWrVjFgwAAmTZqEhYUFKSkpbN68mS+++AJtbW0cHR05fvw4aWlpGBkZYWFhgZaWFtra2gQFBTF16lRcXFxo0aJFmXEOGDCAefPmERgYyPz587GxseHs2bPY2tqW2s/R0ZG9e/eSnJyMpaUlpqamZY7t6+vLH3/8wcKFC+nduzd79uzhu+++U3ZRPw8VWTchxNNJi+xa2SEIIYQQQgjxryU1hIUQohJERERoJHdL8+GHH2Jubk7Lli0JCAjAz8+PRo0aabT59NNP6d27N++88w5169YlJCSE27dvA8W1gBMSEigsLOT111+nQYMGjBs3DjMzM7S0iv/zHxYWhra2Nu7u7lhZWSn1iQFGjBhBfn4+w4YNKzdOHR0dvv/+e6pXr46/vz8NGjQgMjKyzMRpSEgIrq6ueHt7Y2VlRUJCQplju7m5sWLFCj755BM8PT05ceIEYWFh5cbztCqybkIIIYQQQgghxKtKpX64OKMQQggBHDp0iA4dOnD9+nVq1KhR2eG8crKzszE1NSUrK+u57mgWQgghhBBCCCGg4r+HSskIIYQQGvLy8vjjjz8IDw+nT58+kgwWQgghhBBCCCH+QeRvX4UQQmjYtGkTDg4OZGZmsnDhwsoORwghhBBCCCGEEM+QJISFEOI58/X1Zdy4cU89Tnx8PCqViszMzKceqzxBQUEUFhZy+vRpatas+dTjOTo6snTp0gq3T0tLQ6VSkZiY+NRzA0RHR2NmZvZMxhJCCCGEEEIIIV51UjJCCCGes23btlG1atXKDkMRFBREZmYmMTExlR3KC9GvXz/8/f0rOwwhhBBCCCGEEOKlIAlhIYR4ziwsLCo7hOciPz8fHR2dyg7jkfT19dHX16/sMIQQ4qXgOGX3cx0/LbLrcx1fCCGEEEI8PSkZIYQQz9mDJSNWrFiBi4sLenp61KhRg969eyvt8vLyGDNmDNWrV0dPT49WrVpx8uTJEuMlJCTg4eGBnp4ezZs358KFC8q98PBwGjZsqNF+6dKlODo6KvfXrFnDjh07UKlUqFQq4uPjad++PaGhoRr9/vjjD3R0dIiLiwOKSz/MmTOHIUOGYGJiwltvvVWhfg+7fPkyrVq1Qk9PD3d3d/bv349KpSp1x7JarcbZ2ZlFixZpXE9MTESlUpGSkgJAZmYmI0eOpEaNGujp6VG/fn1iY2OBkiUj7q/RunXrcHR0xNTUlP79+5OTk6O0KSoqYv78+bz22mvo6+vj6enJN998U+rzCCGEEEIIIYQQrxJJCAshxAty6tQpxowZQ0REBMnJyezZs4c2bdoo9ydNmsTWrVtZs2YNZ86cwdnZGT8/P/766y+NcSZOnMjixYs5efIkVlZWBAQEUFBQUKEYwsLC6Nu3L507dyYjI4OMjAxatmxJcHAwGzduJC8vT2m7fv16atasSfv27ZVrixYtwtPTk7NnzzJjxowK97uvsLCQwMBADAwMOH78OJ9//jnTpk0rM16VSsXw4cOJiorSuB4VFUWbNm1wdnamqKiILl26kJCQwPr167l06RKRkZFoa2uXOW5qaioxMTHExsYSGxvLwYMHiYyMVO7Pnz+ftWvX8tlnn3Hx4kXGjx/Pm2++ycGDB8tfYCGEEEIIIYQQ4iUnCWEhhHhB0tPTMTQ0pFu3bjg4OODl5cWYMWMAuH37Np9++ikffPABXbp0wd3dnVWrVqGvr8+XX36pMc6sWbPo1KkTDRo0YM2aNfz+++9s3769QjEYGRmhr6+Prq4u1tbWWFtbo6OjQ8+ePQHYsWOH0jY6OpqgoCBUKpVyrX379rz33nvUrl2b2rVrV7jfffv27SM1NZW1a9fi6elJq1atmDt3brkxBwUFkZyczIkTJwAoKChg48aNDB8+HID9+/dz4sQJtm3bRqdOnXBycqJbt2506dKlzDGLioqIjo6mfv36tG7dmsGDBys7mvPy8pg3bx6rV6/Gz88PJycngoKCePPNN1m5cmWZY+bl5ZGdna1xCCGEEEIIIYQQLxtJCAshxAvSqVMnHBwccHJyYvDgwWzYsIE7d+4AxTtWCwoK8PHxUdpXrVqVpk2bkpSUpDFOixYtlM8WFha4urqWaPO49PT0GDx4MKtXrwbgzJkzXLhwgaCgII123t7eT9TvvuTkZOzs7LC2tlauNW3atNzYbG1t6dq1qzLHrl27yMvLo0+fPkBx+YhatWpRp06dCj+vo6MjxsbGyrmNjQ03btwAICUlhTt37tCpUyeMjIyUY+3ataSmppY55vz58zE1NVUOOzu7CscjhBBCCCGEEEK8KJIQFkKIF8TY2JgzZ86wadMmbGxsmDlzJp6enmRmZj6zObS0tFCr1RrXKlpOIjg4mH379vHzzz8TFRVF+/btcXBw0GhjaGj4RP2eVnBwMJs3b+bvv/8mKiqKfv36YWBgAPBEL4yrWrWqxrlKpaKoqAiA3NxcAHbv3k1iYqJyXLp0qdw6wlOnTiUrK0s5rl+//thxCSGEEEIIIYQQz5skhIUQ4gWqUqUKHTt2ZOHChfz444+kpaXxn//8h9q1a6Ojo0NCQoLStqCggJMnT+Lu7q4xxrFjx5TPt27d4sqVK7i5uQFgZWXFb7/9ppEUTkxM1Oivo6NDYWFhidgaNGiAt7c3q1at0ijJ8CiP08/V1ZXr16/z+++/K9dKe3Hew/z9/TE0NOTTTz9lz549GnN4eHjw888/c+XKlQrF+yju7u7o6uqSnp6Os7OzxlHerl9dXV1MTEw0DiGEEEIIIYQQ4mVTpbIDEEKIf4vY2Fj++9//0qZNG8zNzfn2228pKirC1dUVQ0ND3n77bSZOnIiFhQX29vYsXLiQO3fuMGLECI1xIiIisLS0pEaNGkybNo1q1aoRGBgIgK+vL3/88QcLFy6kd+/e7Nmzh++++04jOeno6MjevXtJTk7G0tISU1NTZcdscHAwoaGhGBoa0qNHjwo/W0X7derUidq1azN06FAWLlxITk4O06dPByi15vB92traBAUFMXXqVFxcXDTKZrRt25Y2bdrQq1cvPvzwQ5ydnbl8+TIqlYrOnTtX+BnuMzY2JiwsjPHjx1NUVESrVq3IysoiISEBExMThg4d+thjCiHEyyItsmtlhyCEEEIIISqZ7BAWQogXxMzMjG3bttG+fXvc3Nz47LPP2LRpE/Xq1QMgMjKSXr16MXjwYBo1akRKSgp79+7F3NxcY5zIyEjGjh1L48aN+e2339i1axc6OjoAuLm5sWLFCj755BM8PT05ceIEYWFhGv1DQkJwdXXF29sbKysrjV3JAwYMoEqVKgwYMAA9Pb0KP1tF+2lraxMTE0Nubi5NmjQhODiYadOmATxyvhEjRpCfn8+wYcNK3Nu6dStNmjRhwIABuLu7M2nSpFJ3QVfUnDlzmDFjBvPnz8fNzY3OnTuze/duXnvttSceUwghhBBCCCGEeBmo1A8XmxRCCPGvlZaWRu3atTl58iSNGjV67v0AEhISaNWqFSkpKdSuXbvMdocOHaJDhw5cv36dGjVqPNYclSE7OxtTU1OysrKkfIQQQgghhBBCiOeuor+HSskIIYQQFBQUcPPmTaZPn07z5s0rnNR9kn7bt2/HyMgIFxcXUlJSGDt2LD4+PmUmg/Py8vjjjz8IDw+nT58+r0QyWAghhBBCCCGEeFlJyQghhBAkJCRgY2PDyZMn+eyzz55rv5ycHEaPHk3dunUJCgqiSZMm7Nixo8z2mzZtwsHBgczMTBYuXFjh2IQQQgghhBBCCFGSlIwQQjxzvr6+NGzYkKVLl74S4z6J8PBwYmJiSExMrOxQXrigoCAyMzOJiYl5ZmNW9npGR0czbtw4MjMzy2zzuDFKyQghhBBCCCGEEC9SRX8PlR3CQoh/tfDwcBo2bPjY/cLCwoiLi3vq+X19fVGpVBrHqFGjnnrc52nZsmVER0c/0zGf1Xo+qX79+nHlypVKm18IIYQQQgghhHhRpIawEEI8ASMjI4yMjJ7JWCEhIURERCjnBgYGz2TcB+Xn56Ojo/NMxjI1NX0m4zzoWa7nk9DX10dfX7/S5hdCiBfFccruEtfSIrtWQiRCCCGEEKKyyA5hIcRzUVRUxKRJk7CwsMDa2prw8HDl3vDhw+nWrZtG+4KCAqpXr86XX34JwO3btxkyZAhGRkbY2NiwePHiEnOsW7cOb29vjI2Nsba2ZuDAgdy4cUO5Hx8fj0qlIi4uDm9vbwwMDGjZsiXJyclAcZmA2bNnc+7cOWV37v2dr+np6XTv3h0jIyNMTEzo27cvv//+uzL2wzuLg4KCCAwMZNGiRdjY2GBpacno0aMpKCh45FoZGBhgbW2tHI8qLxAdHY2ZmRkxMTG4uLigp6eHn58f169fLxHfF198wWuvvYaent5jPdfKlSuxs7PDwMCAvn37kpWVVeJZ78vLy2PMmDFUr14dPT09WrVqxcmTJyv8PZS2ngCrV6+mXr166OrqYmNjQ2hoaJlrcvLkSTp16kS1atUwNTWlbdu2nDlzRqNNZmYmI0eOpEaNGujp6VG/fn1iY2M11vRBkZGR1KhRA2NjY0aMGMHdu3fLnF8IIYQQQgghhHhVSEJYCPFcrFmzBkNDQ44fP87ChQuJiIhg3759AAQHB7Nnzx4yMjKU9rGxsdy5c4d+/foBMHHiRA4ePMiOHTv4/vvviY+PL5HgKygoYM6cOZw7d46YmBjS0tIICgoqEcu0adNYvHgxp06dokqVKgwfPhwoLhPw3nvvUa9ePTIyMsjIyKBfv34UFRXRvXt3/vrrLw4ePMi+ffv473//q8RWlgMHDpCamsqBAwdYs2YN0dHRFSqtsGHDBqpVq0b9+vWZOnUqd+7ceWSfO3fuMHfuXNauXUtCQgKZmZn0799fo01KSgpbt25l27ZtJCYmVvi5UlJS+Oqrr9i1axd79uzh7NmzvPPOO2XGMmnSJLZu3cqaNWs4c+YMzs7O+Pn58ddff2m0K+t7KM2nn37K6NGjeeuttzh//jw7d+7E2dm5zPY5OTkMHTqUw4cPc+zYMVxcXPD39ycnJwco/geKLl26kJCQwPr167l06RKRkZFoa2uXOt5XX31FeHg48+bN49SpU9jY2LBixYoy54fixHh2drbGIYQQQgghhBBCvHTUQgjxjLVt21bdqlUrjWtNmjRRT548WTl3d3dXL1iwQDkPCAhQBwUFqdVqtTonJ0eto6Oj/uqrr5T7N2/eVOvr66vHjh1b5rwnT55UA+qcnBy1Wq1WHzhwQA2o9+/fr7TZvXu3GlD//fffarVarZ41a5ba09NTY5zvv/9era2trU5PT1euXbx4UQ2oT5w4UWq/oUOHqh0cHNT37t1TrvXp00fdr1+/MuNVq9XqlStXqvfs2aP+8ccf1evXr1fXrFlT3aNHj3L7REVFqQH1sWPHlGtJSUlqQH38+HElvqpVq6pv3Ljx2M+lra2t/vnnn5U23333nVpLS0udkZGhPGv37t3VarVanZubq65atap6w4YNSvv8/Hy1ra2teuHChWq1+sm+B1tbW/W0adPKXYfyFBYWqo2NjdW7du1Sq9Vq9d69e9VaWlrq5OTkUttHRUWpTU1NlfMWLVqo33nnHY02zZo1K/Gz8qBZs2apgRJHVlbWEz+HEEI8aw6TY0scQgghhBDinyErK6tCv4fKDmEhxHPh4eGhcW5jY6NRziE4OJioqCgAfv/9d7777jtlx2hqair5+fk0a9ZMaW9hYYGrq6vGmKdPnyYgIAB7e3uMjY1p27YtUFwWoaxYbGxsADRieVhSUhJ2dnbY2dkp19zd3TEzMyMpKanMfvXq1dPYcfrgM8+bN0+pk2tkZKTE+NZbb+Hn50eDBg0YNGgQa9euZfv27aSmpipj3u/TpUsXZewqVarQpEkT5bxu3bol4nNwcMDKyuqxn8ve3p6aNWsq5y1atKCoqEijxMN9qampFBQU4OPjo1yrWrUqTZs2LbFWFf0ebty4wa+//kqHDh1K3CvL77//TkhICC4uLpiammJiYkJubq6yzomJidSqVYs6depUaLykpCSNnz8oXofyTJ06laysLOV4sISHEEIIIYQQQgjxspCXygkhnouqVatqnKtUKoqKipTzIUOGMGXKFI4ePcqRI0d47bXXaN26dYXHv337Nn5+fvj5+bFhwwasrKxIT0/Hz8+P/Pz8MmNRqVQAGrE8K+U986hRo+jbt69yz9bWttQx7ichU1JSqF27Nt9++61Sh/hxX3pmaGj4WO2ft4p+D0/ycrehQ4dy8+ZNli1bhoODA7q6urRo0UL5WXgRL4zT1dVFV1f3uc8jhBBCCCGEEEI8DdkhLISoFJaWlgQGBhIVFUV0dDTDhg1T7tWuXZuqVaty/Phx5dqtW7e4cuWKcn758mVu3rxJZGQkrVu3pm7duuXu+i2Ljo4OhYWFGtfc3Ny4fv26xg7PS5cukZmZibu7+2PPAcU7nJ2dnZWjSpXS/z0uMTER+L8dtA4ODkqfB3ft3rt3j1OnTinnycnJZGZm4ubmVmYMFX2u9PR0fv31V+X82LFjaGlpldihDcXflY6ODgkJCcq1goICTp48+cRrZWxsjKOjI3FxcRXuk5CQwJgxY/D391deRPfnn38q9z08PPj55581fobK4+bmpvHzB8XrIIQQQgghhBBCvOpkh7AQotIEBwfTrVs3CgsLGTp0qHLdyMiIESNGMHHiRCwtLalevTrTpk1DS+v//g3L3t4eHR0dPvroI0aNGsWFCxeYM2fOY8fg6OjITz/9pJQUMDY2pmPHjkoJh6VLl3Lv3j3eeecd2rZti7e39zN5digut7Bx40b8/f2xtLTkxx9/ZPz48bRp06ZEyY2HVa1alXfffZfly5dTpUoVQkNDad68OU2bNi2zT0WfS09Pj6FDh7Jo0SKys7MZM2YMffv2xdrausSYhoaGvP3220ycOBELCwvs7e1ZuHAhd+7cYcSIEU+8NuHh4YwaNYrq1avTpUsXcnJySEhI4N133y21vYuLC+vWrcPb25vs7GwmTpyosSu4bdu2tGnThl69evHhhx/i7OzM5cuXUalUdO7cucR4Y8eOJSgoCG9vb3x8fNiwYQMXL17EycnpiZ9JCCFeBmmRXSs7BCGEEEIIUclkh7AQotJ07NgRGxsb/Pz8SpRQ+OCDD2jdujUBAQF07NiRVq1a0bhxY+W+lZUV0dHRfP3117i7uxMZGcmiRYseO4ZevXrRuXNn2rVrh5WVFZs2bUKlUrFjxw7Mzc1p06YNHTt2xMnJiS1btjz1Mz9IR0eH/fv38/rrr1O3bl3ee+89evXqxa5dux7Z18DAgMmTJzNw4EB8fHwwMjJ6ZHwVfS5nZ2d69uyJv78/r7/+Oh4eHqxYsaLMcSMjI+nVqxeDBw+mUaNGpKSksHfvXszNzSu2EKUYOnQoS5cuZcWKFdSrV49u3bpx9erVMtt/+eWX3Lp1i0aNGjF48GDGjBlD9erVNdps3bqVJk2aMGDAANzd3Zk0aVKJ3eH39evXjxkzZjBp0iQaN27MtWvXePvtt5/4eYQQQgghhBBCiJeFSq1Wqys7CCHEv1Nubi41a9YkKiqKnj17VnY4r4zo6GjGjRtHZmbmMx87PDycmJgYpXSFeHLZ2dmYmpqSlZWFiYlJZYcjhBBCCCGEEOIfrqK/h0rJCCHEC1dUVMSff/7J4sWLMTMz44033qjskIQQQgghhBBCCCH+FSQhLIR44dLT03nttdeoVasW0dHRZb5gTQghhBBCCCGEEEI8W1JDWAjxwjk6OqJWq7l+/TodOnSocJ+lS5c+38CeQlpaGiqV6oWUWggKCiq3XISvry/jxo0rd4zo6GjMzMxKXA8PD3/mz5CcnIy1tTU5OTnPdNwX5bPPPiMgIKCywxBCCCGEEEIIIZ4JSQgLIf6R4uPjUalUz6XO7stu27ZtzJkzRzkvLZner18/rly58kLimTp1Ku+++y7GxsbKNbVazeeff06zZs0wMjLCzMwMb29vli5dyp07d4DipLVKpdI49PT0Hjmfo6Oj0l5fXx9HR0f69u3Lf/7zn1Lbb926FV9fX0xNTTEyMsLDw4OIiAj++usvAIYPH86ZM2c4dOjQM1gNIYQQQgghhBCicsnfaQshxCMUFBRQtWrVyg6jwnFYWFg8so2+vj76+vrPIqxypaenExsby0cffaRxffDgwWzbto3p06fz8ccfY2Vlxblz51i6dCmOjo4EBgYCYGJiQnJystJPpVJVaN6IiAhCQkLIz88nLS2N9evX07FjR+bMmcO0adOUdtOmTWPBggWMHz+eefPmYWtry9WrV/nss89Yt24dY8eORUdHh4EDB7J8+XJat2799IsihBCVyHHK7soOodKkRXat7BCEEEIIIV4KskNYCFHpcnJyGDRoEIaGhtjY2LBkyZJyyx6UVp4hMzMTlUpFfHw8aWlptGvXDgBzc3NUKhVBQUEA7Nmzh1atWmFmZoalpSXdunUjNTW1xNhbtmyhbdu26Onp8fnnn2NiYsI333yjEUdMTAyGhoZllkK4ePEi3bp1w8TEBGNjY1q3bq3MdfLkSTp16kS1atUwNTWlbdu2nDlzRqO/SqXi008/5Y033sDQ0JC5c+cSHh5Ow4YNWbduHY6OjpiamtK/f3+NGB5cO19fX65du8b48eOVXbNQsmRERcYtKipi/vz5vPbaa+jr6+Pp6VliTR721Vdf4enpSc2aNTWubdiwgU2bNvH//t//o0mTJjg6OtK9e3f+85//KN/d/TWwtrZWjho1apQ7333GxsZYW1tjb29PmzZt+Pzzz5kxYwYzZ85UEswnTpxg3rx5LF68mA8++ICWLVvi6OhIp06d2Lp1K0OHDlXGCwgIYOfOnfz9998Vml8IIYQQQgghhHhZSUJYCFHpJkyYQEJCAjt37mTfvn0cOnSoRHL0cdjZ2bF161aguH5tRkYGy5YtA+D27dtMmDCBU6dOERcXh5aWFj169KCoqEhjjClTpjB27FiSkpLo2bMn/fv3JyoqSqNNVFQUvXv31iiFcN8vv/xCmzZt0NXV5T//+Q+nT59m+PDh3Lt3DyhOgg8dOpTDhw9z7NgxXFxc8Pf3L5FcDg8Pp0ePHpw/f57hw4cDkJqaSkxMDLGxscTGxnLw4EEiIyNLXYtt27ZRq1YtIiIiyMjIICMjo8x1e9S48+fPZ+3atXz22WdcvHiR8ePH8+abb3Lw4MEyxzx06BDe3t4a1zZs2ICrqyvdu3cv0V6lUmFqaqqc5+bm4uDggJ2dHd27d+fixYtlzvUoY8eORa1Ws2PHDiUOIyMj3nnnnVLbP5gw9/b25t69exw/frzM8fPy8sjOztY4hBBCCCGEEEKIl42UjBBCVKqcnBzWrFnDxo0blRfMRUVFYWtr+8RjamtrK2UTqlevrpHY69Wrl0bb1atXY2VlxaVLl6hfv75yfdy4cfTs2VM5Dw4OpmXLlmRkZGBjY8ONGzf49ttv2b9/f6kxfPLJJ5iamrJ582alzEOdOnWU++3bt9do//nnn2NmZsbBgwfp1q2bcn3gwIEMGzZMo21RURHR0dFKInrw4MHExcUxd+7cEnFYWFigra2t7JgtT3nj5uXlMW/ePPbv30+LFi0AcHJy4vDhw6xcuZK2bduWOua1a9dKJISvXr2Kq6trubEAuLq6snr1ajw8PMjKymLRokW0bNmSixcvUqtWrUf2f5iFhQXVq1cnLS1NicPJyalCZTgMDAwwNTXl2rVrZbaZP38+s2fPfuy4hBBCCCGEEEKIF0l2CAshKtV///tfCgoKaNq0qXLN1NS0QgnDJ3H16lUGDBiAk5MTJiYmODo6AsW1bh/0cBKzadOm1KtXjzVr1gCwfv16HBwcaNOmTanzJCYm0rp16zKTjb///jshISG4uLhgamqKiYkJubm5j4wDil+a9uCu5PsJ6qdV3rgpKSncuXOHTp06YWRkpBxr167VKLnxsL///rvEi+DUanWF4mnRogVDhgyhYcOGtG3blm3btmFlZcXKlSsBmDdvnkYsD69dadRqtVI2o6Jx3Kevr6+88K40U6dOJSsrSzmuX7/+WOMLIYQQQgghhBAvguwQFkK8crS0iv8t68GEXkFBQYX6BgQE4ODgwKpVq7C1taWoqIj69euTn5+v0c7Q0LBE3+DgYD755BOmTJlCVFQUw4YNK/MlZ496YdvQoUO5efMmy5Ytw8HBAV1dXVq0aFGhOB5OMqtUqhIlL55EeePm5uYCsHv3bo16wAC6urpljlmtWjVu3bqlca1OnTpcvnz5ieLz8vIiJSUFgFGjRtG3b1/l/qN2ld+8eZM//viD1157TYnj8OHDFX5Z319//YWVlVWZ93V1dctdCyGEEEIIIYQQ4mUgO4SFEJXq/p/snzx5UrmWlZXFlStXyuxzPyn3YD3cB18wB6CjowNAYWGhcu3mzZskJyczffp0OnTogJubW4lkZXnefPNNrl27xvLly7l06ZLGS8ce5uHhwaFDh8pMVCckJDBmzBj8/f2pV68eurq6/PnnnxWO5XHo6OhorMOTcHd3R1dXl/T0dJydnTUOOzu7Mvt5eXlx6dIljWsDBw7kypUrSi3fB6nVarKyskodq7CwkPPnz2NjYwMUl4B4MI4qVcr/N85ly5ahpaVFYGCgEkdubi4rVqwotX1mZqbyOTU1lbt37+Ll5VXuHEIIIYQQQgghxMtOdggLISqVsbExQ4cOZeLEiUqN11mzZqGlpVXu7tvmzZsTGRnJa6+9xo0bN5g+fbpGGwcHB1QqFbGxsfj7+6Ovr4+5uTmWlpZ8/vnn2NjYkJ6ezpQpUyocq7m5OT179mTixIm8/vrr5daxDQ0N5aOPPqJ///5MnToVU1NTjh07RtOmTXF1dcXFxYV169bh7e1NdnY2EydOfOSu4ifl6OjIDz/8QP/+/dHV1aVatWqPPYaxsTFhYWGMHz+eoqIiWrVqRVZWFgkJCZiYmJSZHPfz8yM4OJjCwkK0tbUB6Nu3L9u3b2fAgAFMnz6d119/HSsrK86fP8+SJUt49913CQwMJCIigubNm+Ps7ExmZiYffPAB165dIzg4+JHx5uTk8Ntvv1FQUMBPP/3E+vXr+eKLL5g/fz7Ozs4ANGvWjEmTJvHee+/xyy+/0KNHD2xtbUlJSeGzzz6jVatWjB07Fih+OZ6TkxO1a9d+7LUTQoiXSVpk18oOQQghhBBCVDLZISyEqHQffvghLVq0oFu3bnTs2BEfHx/c3NxK1J590OrVq7l37x6NGzdm3LhxvP/++xr3a9asyezZs5kyZQo1atQgNDQULS0tNm/ezOnTp6lfvz7jx4/ngw8+eKxYR4wYQX5+PsOHDy+3naWlJf/5z3/Izc2lbdu2NG7cmFWrVimlCb788ktu3bpFo0aNGDx4MGPGjKF69eqPFUtFRUREkJaWRu3atcstefAoc+bMYcaMGcyfPx83Nzc6d+7M7t27lRIMpenSpQtVqlTRePmeSqVi48aNfPjhh8TExNC2bVs8PDwIDw+ne/fu+Pn5AXDr1i1CQkJwc3PD39+f7Oxsjhw5gru7+yNjnTlzJjY2Njg7OzN48GCysrKIi4tj8uTJGu0WLFjAxo0bOX78OH5+ftSrV48JEybg4eGhkeTetGkTISEhj7tkQgghhBBCCCHES0elfty36gghxHN2+/ZtatasyeLFixkxYkRlh6Nh3bp1jB8/nl9//VUpSyHK98knn7Bz50727t1b2aE8kYsXL9K+fXuuXLmCqalphftlZ2djampKVlYWJiYmzzFCIYQQQgghhBCi4r+HSskIIUSlO3v2LJcvX6Zp06ZkZWUREREBQPfu3Ss5sv9z584dMjIyiIyMZOTIkZIMfgwjR44kMzOTnJwcjI2NKzucx5aRkcHatWsfKxkshBBCCCGEEEK8rKRkhBDipbBo0SI8PT3p2LEjt2/f5tChQ09U6/Z5WbhwIXXr1sXa2pqpU6dWdjivlCpVqjBt2rRXMhkM0LFjR6WMhRBCCCGEEEII8aqThLAQotJ5eXlx+vRpcnNz+euvv9i3bx8NGjSo7LA0hIeHU1BQQFxcHEZGRhr30tLSUKlUJCYmVni86OhozMzMnm2QTxjLs6JSqYiJiXnh8wohhBBCCCGEEKLiJCEshBBCQ2Umdp9Xorws8fHxqFQqMjMzX9icQgghhBBCCCFEZZIawkIIIf5x8vPzpc6zEEKUwnHK7soO4amlRXat7BCEEEIIIV5pskNYCCEqYM+ePbRq1QozMzMsLS3p1q0bqamppba9v+t09+7deHh4oKenR/Pmzblw4UKJtnv37sXNzQ0jIyM6d+5MRkaGcu/kyZN06tSJatWqYWpqStu2bTlz5sxjxV1YWMjw4cOpW7cu6enpAOzYsYNGjRqhp6eHk5MTs2fP5t69ewA4OjoC0KNHD1QqlXIO8Omnn1K7dm10dHRwdXVl3bp1JebLyMigS5cu6Ovr4+TkxDfffFNiXR7cjZuYmIhKpSItLY34+HiGDRtGVlYWKpUKlUpFeHg4ERER1K9fv8RcDRs2ZMaMGQAEBQURGBjI3LlzsbW1xdXVFYB169bh7e2NsbEx1tbWDBw4kBs3bgDF5TXatWsHgLm5OSqViqCgIACKioqYP38+r732Gvr6+nh6emo8ixBCCCGEEEII8aqShLAQQlTA7du3mTBhAqdOnSIuLg4tLS169OhBUVFRmX0mTpzI4sWLOXnyJFZWVgQEBFBQUKDcv3PnDosWLWLdunX88MMPpKenExYWptzPyclh6NChHD58mGPHjuHi4oK/vz85OTkVijkvL48+ffqQmJjIoUOHsLe359ChQwwZMoSxY8dy6dIlVq5cSXR0NHPnzgWKk9AAUVFRZGRkKOfbt29n7NixvPfee1y4cIGRI0cybNgwDhw4oDHnjBkz6NWrF+fOnWPQoEH079+fpKSkCsXbsmVLli5diomJCRkZGWRkZBAWFsbw4cNJSkpSYgE4e/YsP/74I8OGDVOuxcXFkZyczL59+4iNjQWgoKCAOXPmcO7cOWJiYkhLS1OSvnZ2dmzduhWA5ORkMjIyWLZsGQDz589n7dq1fPbZZ1y8eJHx48fz5ptvcvDgwXLXOzs7W+MQQgghhBBCCCFeNlIyQgghKqBXr14a56tXr8bKyopLly6VeMncfbNmzaJTp04ArFmzhlq1arF9+3b69u0LFCcrP/vsM2rXrg1AaGgoERERSv/27dtrjPf5559jZmbGwYMH6datW7nx5ubm0rVrV/Ly8jhw4ACmpqYAzJ49mylTpjB06FAAnJycmDNnDpMmTWLWrFlYWVkBYGZmhrW1tTLeokWLCAoK4p133gFgwoQJHDt2jEWLFim7bAH69OlDcHAwAHPmzGHfvn189NFHrFixotx4AXR0dDA1NUWlUmnMbWRkhJ+fH1FRUTRp0gQoTli3bdsWJycnpZ2hoSFffPGFRqmI4cOHK5+dnJxYvnw5TZo0ITc3FyMjIywsLACoXr26Urs4Ly+PefPmsX//flq0aKH0PXz4MCtXrqRt27alxj9//nxmz579yOcUQgghhBBCCCEqk+wQFkKICrh69SoDBgzAyckJExMTpZTC/TIMpbmfTASwsLDA1dVVY7esgYGBkgwGsLGxUcoZAPz++++EhITg4uKCqakpJiYm5ObmKnOOGjUKIyMj5XjQgAEDuH37Nt9//72SDAY4d+4cERERGv1CQkLIyMjgzp07ZT5LUlISPj4+Gtd8fHxK7P598Jnvn1d0h3B5QkJC2LRpE3fv3iU/P5+NGzdqJHsBGjRoUKJu8OnTpwkICMDe3h5jY2MlmVve95aSksKdO3fo1KmTxjqtXbu2zDIhAFOnTiUrK0s5rl+//hRPLIQQQgghhBBCPB+yQ1gIISogICAABwcHVq1aha2tLUVFRdSvX5/8/PwnHrNq1aoa5yqVCrVarZwPHTqUmzdvsmzZMhwcHNDV1aVFixbKnBERERolJh7k7+/P+vXrOXr0qMZO49zcXGbPnk3Pnj1L9NHT03viZ6kILa3if4N88BkfLKFRnoCAAHR1ddm+fTs6OjoUFBTQu3dvjTaGhoYa57dv38bPzw8/Pz82bNiAlZUV6enp+Pn5lfu95ebmArB7925q1qypcU9XV7fMfrq6uuXeF0IIIYQQQgghXgaSEBZCiEe4efMmycnJrFq1itatWwNw+PDhR/Y7duwY9vb2ANy6dYsrV67g5uZW4XkTEhJYsWIF/v7+AFy/fp0///xTuV+9enWqV69eat+3336b+vXr88Ybb7B7925lZ2yjRo1ITk7G2dm5zHmrVq1KYWGhxjU3NzcSEhKUUhP343N3dy/xzEOGDNE49/LyAlDKUWRkZGBubg4Uv1TuQTo6OiXmBqhSpQpDhw4lKioKHR0d+vfvj76+fpnPAHD58mVu3rxJZGQkdnZ2AJw6darEfIDGnO7u7ujq6pKenl5meQghhBBCCCGEEOJVJQlhIYR4BHNzcywtLfn888+xsbEhPT2dKVOmPLJfREQElpaW1KhRg2nTplGtWjUCAwMrPK+Liwvr1q3D29ub7OxsJk6c+Mgk6IPeffddCgsL6datG9999x2tWrVi5syZdOvWDXt7e3r37o2Wlhbnzp3jwoULvP/++wA4OjoSFxeHj48Purq6mJubM3HiRPr27YuXlxcdO3Zk165dbNu2jf3792vM+fXXX+Pt7U2rVq3YsGEDJ06c4MsvvwTA2dkZOzs7wsPDmTt3LleuXGHx4sUa/R0dHcnNzSUuLg5PT08MDAwwMDAAIDg4WEmoJyQkPPL57e3t0dHR4aOPPmLUqFFcuHCBOXPmaLRxcHBApVIRGxuLv78/+vr6GBsbExYWxvjx4ykqKqJVq1ZkZWWRkJCAiYmJRlJcCCFeNWmRXSs7BCGEEEIIUcmkhrAQQjyClpYWmzdv5vTp09SvX5/x48fzwQcfPLJfZGQkY8eOpXHjxvz222/s2rWrRI3b8nz55ZfcunWLRo0aMXjwYMaMGVPmjuCyjBs3jtmzZ+Pv78+RI0fw8/MjNjaW77//niZNmtC8eXOWLFmCg4OD0mfx4sXs27cPOzs7ZXdvYGAgy5YtY9GiRdSrV4+VK1cSFRWFr6+vxnyzZ89m8+bNeHh4sHbtWjZt2qTsIq5atSqbNm3i8uXLeHh4sGDBAiUJfV/Lli0ZNWoU/fr1w8rKioULFyr3XFxcaNmyJXXr1qVZs2aPfHYrKyuio6P5+uuvcXd3JzIykkWLFmm0qVmzpvKivRo1ahAaGgoUvxBvxowZzJ8/Hzc3Nzp37szu3bt57bXXKr74QgghhBBCCCHES0ilfrCYoxBCiKcWHx9Pu3btuHXrFmZmZpUdzj+GWq3GxcWFd955hwkTJlR2OI+UnZ2NqakpWVlZmJiYVHY4QgghhBBCCCH+4Sr6e6iUjBBCCPHS++OPP9i8eTO//fYbw4YNq+xwhBBCCCGEEEKIV5YkhIUQQrz0qlevTrVq1fj888+VF9IJIYQQQgghhBDi8UlCWAghnjFfX1+kGs+zEx4ejqenJ4mJiZUdihBCCCGEEEII8cqTGsJCCCFearm5ueTl5WFpaVnZoTwWqSEshBBCCCGEEOJFkhrCQggh/hGMjIwwMjKq7DCEEOIfwXHK7soO4ZWTFtm1skMQQgghhHimtCo7ACGEEP98e/bsoVWrVpiZmWFpaUm3bt1ITU1V7v/8888MGDAACwsLDA0N8fb25vjx40BxyYiGDRsqbePj42natCmGhoaYmZnh4+PDtWvXlPuffvoptWvXRkdHB1dXV9atW6cRy+XLl2nVqhV6enq4u7uzf/9+VCoVMTExSpvJkydTp04dDAwMcHJyYsaMGRQUFDyfxRFCCCGEEEIIIV4g2SEshBDiubt9+zYTJkzAw8OD3NxcZs6cSY8ePUhMTOTOnTu0bduWmjVrsnPnTqytrTlz5gxFRUUlxrl37x6BgYGEhISwadMm8vPzOXHiBCqVCoDt27czduxYli5dSseOHYmNjWXYsGHUqlWLdu3aUVhYSGBgIPb29hw/fpycnBzee++9EvMYGxsTHR2Nra0t58+fJyQkBGNjYyZNmlTmM+bl5ZGXl6ecZ2dnP4OVE0IIIYQQQgghni2pISyEEOKF+/PPP7GysuL8+fMcOXKEsLAw0tLSsLCwKNE2PDycmJgYEhMT+euvv7C0tCQ+Pp62bduWaOvj40O9evX4/PPPlWt9+/bl9u3b7N69mz179hAQEMD169extrYGYP/+/XTq1Int27cTGBhYaryLFi1i8+bNnDp1qsxnCg8PZ/bs2SWuSw1hIcTLREpGPD4pGSGEEEKIV0VFawhLyQghhBDP3dWrVxkwYABOTk6YmJjg6OgIQHp6OomJiXh5eZWaDH6YhYUFQUFB+Pn5ERAQwLJly8jIyFDuJyUl4ePjo9HHx8eHpKQkAJKTk7Gzs1OSwQBNmzYtMc+WLVvw8fHB2toaIyMjpk+fTnp6ermxTZ06laysLOW4fv36I59HCCGEEEIIIYR40SQhLIQQ4rkLCAjgr7/+YtWqVRw/flypD5yfn4++vv5jjRUVFcXRo0dp2bIlW7ZsoU6dOhw7duyZxXr06FEGDRqEv78/sbGxnD17lmnTppGfn19uP11dXUxMTDQOIYQQQgghhBDiZSMJYSGEEM/VzZs3SU5OZvr06XTo0AE3Nzdu3bql3Pfw8FDKQVSUl5cXU6dO5ciRI9SvX5+NGzcC4ObmRkJCgkbbhIQE3N3dAXB1deX69ev8/vvvyv2TJ09qtD9y5AgODg5MmzYNb29vXFxcNF5aJ4QQQgghhBBCvMrkpXJCCCGeK3NzcywtLfn888+xsbEhPT2dKVOmKPcHDBjAvHnzCAwMZP78+djY2HD27FlsbW1p0aKFxlg//fQTn3/+OW+88Qa2trYkJydz9epVhgwZAsDEiRPp27cvXl5edOzYkV27drFt2zb2798PQKdOnahduzZDhw5l4cKF5OTkMH36dADlxXQuLi6kp6ezefNmmjRpwu7du9m+ffuLWCohhHjupB6uEEIIIYSQHcJCCCGeKy0tLTZv3szp06epX78+48eP54MPPlDu6+jo8P3331O9enX8/f1p0KABkZGRaGtrlxjLwMCAy5cv06tXL+rUqcNbb73F6NGjGTlyJACBgYEsW7aMRYsWUa9ePVauXElUVBS+vr4AaGtrExMTQ25uLk2aNCE4OJhp06YBoKenB8Abb7zB+PHjCQ0NpWHDhhw5coQZM2Y851USQgghhBBCCCFeDJVarVZXdhBCCCFEZUlISKBVq1akpKRQu3btZzZuRd/uKoQQQgghhBBCPAsV/T1USkYIIYT4V9m+fTtGRka4uLiQkpLC2LFj8fHxeabJYCGEEEIIIYQQ4mUlJSOEEOIJpKWloVKpSExMfCXGfR7i4+NRqVRkZmZWdiiPJScnh9GjR1O3bl2CgoJo0qQJO3bsqOywhBBCCCGEEEKIF0ISwkII8ZDIyEhUKhXjxo2r7FD+cYKCgggMDKzUGIYMGcKVK1e4e/cu77//PjExMVhaWlZqTEIIIYQQQgghxIsiJSOEEOIBJ0+eZOXKlXh4eFR2KKVSq9UUFhZSpYr851sIIcTjc5yyu7JDACAtsmtlhyCEEEII8a8lO4SFEOJ/cnNzGTRoEKtWrcLc3LxCff773//Srl07DAwM8PT05OjRowDcvn0bExMTvvnmG432MTExGBoakpOTA8CJEyfw8vJCT08Pb29vzp49q9H+flmG7777jsaNG6Orq8vhw4fJy8tjzJgxVK9eHT09PVq1asXJkycBuHv3LvXq1eOtt95SxklNTcXY2JjVq1dXOLYjR47QsGFDJbaYmJhyy1mEh4fTsGFDjWtLly7F0dFRub9mzRp27NiBSqVCpVIRHx8PwOTJk6lTpw4GBgY4OTkxY8YMCgoKSoy9evVq7O3tMTIy4p133qGwsJCFCxdibW1N9erVmTt3rsb8H374IQ0aNMDQ0BA7OzveeecdcnNzlbUdNmwYWVlZSjzh4eEA5OXlERYWRs2aNTE0NKRZs2ZKrEIIIYQQQgghxKtMEsJCCPE/o0ePpmvXrnTs2LHCfaZNm0ZYWBiJiYnUqVOHAQMGcO/ePQwNDenfvz9RUVEa7aOioujduzfGxsbk5ubSrVs33N3dOX36NOHh4YSFhZU6z5QpU4iMjCQpKQkPDw8mTZrE1q1bWbNmDWfOnMHZ2Rk/Pz/++usv9PT02LBhg5J8LSws5M0336RTp04MHz68QrFlZ2cTEBBAgwYNOHPmDHPmzGHy5MmPv6gPCAsLo2/fvnTu3JmMjAwyMjJo2bIlAMbGxkRHR3Pp0iWWLVvGqlWrWLJkiUb/1NRUvvvuO/bs2cOmTZv48ssv6dq1Kz///DMHDx5kwYIFTJ8+nePHjyt9tLS0WL58ORcvXmTNmjX85z//YdKkSQC0bNmSpUuXYmJiosRzf/1DQ0M5evQomzdv5scff6RPnz507tyZq1evPtUaCCGEEEIIIYQQlU3+5lgIIYDNmzdz5swZZZdtRYWFhdG1a/Gfvc6ePZt69eqRkpJC3bp1CQ4OpmXLlmRkZGBjY8ONGzf49ttv2b9/PwAbN26kqKiIL7/8Ej09PerVq8fPP//M22+/XWKeiIgIOnXqBBTvPv7000+Jjo6mS5cuAKxatYp9+/bx5ZdfMnHiRBo2bMj7779PcHAw/fv359q1a8TGxirjVSQ2lUrFqlWr0NPTw93dnV9++YWQkJDHX9z/MTIyQl9fn7y8PKytrTXuTZ8+Xfns6OhIWFgYmzdvVpK3AEVFRaxevRpjY2Pc3d1p164dycnJfPvtt2hpaeHq6sqCBQs4cOAAzZo1A9CoA+3o6Mj777/PqFGjWLFiBTo6OpiamqJSqTTiSU9PJyoqivT0dGxtbYHi73nPnj1ERUUxb968Up8vLy+PvLw85Tw7O/uJ10oIIYQQQgghhHheZIewEOJf7/r164wdO5YNGzagp6dX4v6oUaMwMjJSjgc9WGvYxsYGgBs3bgDQtGlT6tWrx5o1awBYv349Dg4OtGnTBkDZ7fvgnC1atCg1Rm9vb+VzamoqBQUF+Pj4KNeqVq1K06ZNSUpKUq6999571KlTh48//pjVq1drvDjtUbElJyeXiK1p06alxvYsbNmyBR8fH6ytrTEyMmL69Omkp6drtHF0dMTY2Fg5r1GjBu7u7mhpaWlcu7/+APv376dDhw7UrFkTY2NjBg8ezM2bN7lz506ZsZw/f57CwkLq1Kmj8b0fPHiQ1NTUMvvNnz8fU1NT5bCzs3uSpRBCCCGEEEIIIZ4rSQgLIf71Tp8+zY0bN2jUqBFVqlShSpUqHDx4kOXLl1OlShVmz55NYmKicjyoatWqymeVSgUU72S9Lzg4mOjoaKC4JMOwYcOUdo/D0NDwsfvcuHGDK1euoK2tXWqpg2cV231aWlqo1WqNaw/WAS7L0aNHGTRoEP7+/sTGxnL27FmmTZtGfn6+RrsH1xqK17u0a/fXPy0tjW7duuHh4cHWrVs5ffo0n3zyCUCJsR+Um5uLtrY2p0+f1vjek5KSWLZsWZn9pk6dSlZWlnJcv379kc8uhBBCCCGEEEK8aFIyQgjxr9ehQwfOnz+vcW3YsGHUrVuXyZMnU6NGDWrUqPFEY7/55ptMmjSJ5cuXc+nSJYYOHarcc3NzY926ddy9e1fZiXvs2LFHjlm7dm10dHRISEjAwcEBKE68njx5UqNEwvDhw2nQoAEjRowgJCSEjh074ubmVqHYXF1dWb9+PXl5eejq6gI8spyGlZUVv/32G2q1WkksP5xA19HRobCwUOPakSNHcHBwYNq0acq1a9euPXIdHuX06dMUFRWxePFiZRfxV1999ch4vLy8KCws5MaNG7Ru3brC8+nq6iprJYQQQgghhBBCvKwkISyE+NczNjamfv36GtcMDQ2xtLQscf1xmZub07NnTyZOnMjrr79OrVq1lHsDBw5k2rRphISEMHXqVNLS0li0aNEjxzQ0NOTtt99m4sSJWFhYYG9vz8KFC7lz5w4jRowA4JNPPuHo0aP8+OOP2NnZsXv3bgYNGsSxY8fQ0dGpcGxvvfUWU6ZMIT09XYmtrF3Evr6+/PHHHyxcuJDevXuzZ88evvvuO0xMTJQ2jo6O7N27l+TkZCwtLTE1NcXFxYX09HQ2b95MkyZN2L17N9u3b3/8xX6Is7MzBQUFfPTRRwQEBJCQkMBnn32m0cbR0ZHc3Fzi4uLw9PTEwMCAOnXqMGjQIIYMGcLixYvx8vLijz/+IC4uDg8PD6VmtBBCvIrSIuW/YUIIIYQQ/3ZSMkIIIZ6zESNGkJ+fz/DhwzWuGxkZsWvXLs6fP4+XlxfTpk1jwYIFFRozMjKSXr16MXjwYBo1akRKSgp79+7F3Nycy5cvM3HiRFasWKHUsV2xYgV//vknM2bMqFBsJiYm7Nq1i8TERBo2bMi0adOYOXMmQKl1lqF4x/OKFSv45JNP8PT05MSJE4SFhWm0CQkJwdXVFW9vb6ysrEhISOCNN95g/PjxhIaG0rBhQ44cOVIizifh6enJhx9+yIIFC6hfvz4bNmxg/vz5Gm1atmzJqFGj6NevH1ZWVixcuBAoLqExZMgQ3nvvPVxdXQkMDOTkyZPY29s/dVxCCCGEEEIIIURlUqkfLvgohBDimVq3bh3jx4/n119/VXbnviweJ7YNGzYwbNgwsrKy0NfXf0ERvrqys7MxNTUlKytLY5e0EEIIIYQQQgjxPFT091ApGSGEEM/JnTt3yMjIIDIykpEjR75UyeCKxLZ27VqcnJyoWbMm586dY/LkyfTt21eSwUIIIYQQQgghxCtMSkYIIcRzsnDhQurWrYu1tTVTp06t7HA0VCS23377jTfffBM3NzfGjx9Pnz59+Pzzz19wpEIIIYQQQgghhHiWpGSEEEK8Ynx9fWnYsCFLly594jHS0tJ47bXXOHv2LA0bNnxmsVWW6Ohoxo0bR2ZmZpltwsPDiYmJITEx8YXEJCUjhBBCCCGEEEK8SBX9PVR2CAshhHjl9evXjytXrjyXsePj4wkPD38uYwshhBBCCCGEEC+a1BAWQohnpLCwEJVKhZaW/FtbRRUUFFC1atWnHkdfX/+Z1zb+7LPP6Nmzp3Ken5/PRx99xJgxY55JzEIIURkcp+yu7BBEKdIiu1Z2CEIIIYT4F5GshRDiX8PX15fQ0FBCQ0MxNTWlWrVqzJgxg/Iq52RmZjJy5Ehq1KiBnp4e9evXJzY2FiguU2BmZsbOnTtxd3dHV1eX9PR08vLyCAsLo2bNmhgaGtKsWTPi4+OVMa9du0ZAQADm5uYYGhpSr149vv32W+X+wYMHadq0Kbq6utjY2DBlyhTu3bv3WM96+fJlWrVqhZ6eHu7u7uzfvx+VSkVMTEyp7e8/y4NiYmJQqVQa13bt2kWTJk3Q09OjWrVq9OjRQ7lX2vhmZmZER0cDxWUqVCoVW7ZsoW3btujp6bFhwwaKioqIiIigVq1a6Orq0rBhQ/bs2aOMcb/ftm3baNeuHQYGBnh6enL06NFy44+MjKRGjRoYGxszYsQI7t69W+K5v/jiC9zc3NDT06Nu3bqsWLFCuWdnZ8cbb7zB9u3buXjxIu3bt1eeUwghhBBCCCGEeFXJDmEhxL/KmjVrGDFiBCdOnODUqVO89dZb2NvbExISUqJtUVERXbp0IScnh/Xr11O7dm0uXbqEtra20ubOnTssWLCAL774AktLS6pXr05oaCiXLl1i8+bN2Nrasn37djp37sz58+dxcXFh9OjR5Ofn88MPP2BoaMilS5cwMjIC4JdffsHf35+goCDWrl3L5cuXCQkJQU9Pr8JlCwoLCwkMDMTe3p7jx4+Tk5PDe++999Rrt3v3bnr06MG0adNYu3Yt+fn5GonsipoyZQqLFy/Gy8sLPT09li1bxuLFi1m5ciVeXl6sXr2aN954g4sXL+Li4qL0mzZtGosWLcLFxYVp06YxYMAAUlJSqFKl5P/KvvrqK8LDw/nkk09o1aoV69atY/ny5Tg5OSltNmzYwMyZM/n444/x8vLi7NmzhISEYGhoyNChQ+natSutWrWiefPmpKenc/jwYby8vJ5s8YQQQgghhBBCiJeEJISFEP8qdnZ2LFmyBJVKhaurK+fPn2fJkiWlJoT379/PiRMnSEpKok6dOgAaCUUoLnmwYsUKPD09AUhPTycqKor09HRsbW0BCAsLY8+ePURFRTFv3jzS09Pp1asXDRo0KDHmihUrsLOz4+OPP0alUlG3bl1+/fVXJk+ezMyZMytUjmLfvn2kpqYSHx+PtbU1AHPnzqVTp05PsGL/Z+7cufTv35/Zs2cr1+4/9+MYN26cRimGRYsWMXnyZPr37w/AggULOHDgAEuXLuWTTz5R2oWFhdG1a/Gf1M6ePZt69eqRkpJC3bp1S8yxdOlSRowYwYgRIwB4//332b9/v8Yu4VmzZrF48WIlltdee41Lly6xcuVKhg4dyp49e5g9ezavv/46v/76K2PGjKF3796EhoZq/KPAfXl5eeTl5Snn2dnZj702QgghhBBCCCHE8yYlI4QQ/yrNmzfX+JP/Fi1acPXqVebOnYuRkZFypKenk5iYSK1atZRkcGl0dHTw8PBQzs+fP09hYSF16tTRGO/gwYOkpqYCMGbMGN5//318fHyYNWsWP/74o9I/KSmJFi1aaMTo4+NDbm4uP//8c4n5582bVyLu5ORk7OzslGQwQNOmTZ9swR6QmJhIhw4dnnocb29v5XN2dja//vorPj4+Gm18fHxISkrSuPbgOtvY2ABw48aNUudISkqiWbNmGtdatGihfL59+zapqamMGDFCY/3ef/995Xv66aef2LFjBz169KBevXrExcVRUFBAUVFRqXPOnz8fU1NT5bCzs3vUUgghhBBCCCGEEC+c7BAWQghg1KhR9OvXTzm3tbWt0EvK9PX1NZK3ubm5aGtrc/r06RK7SO+XhQgODsbPz4/du3fz/fffM3/+fBYvXsy77777RHH37dtXI+4noaWlVaKWckFBgcb5o9ZDpVI9cgwAQ0PDJ4rxwRe53V/zspKzj5KbmwvAqlWrSiSO739vb7/9NgCXLl0CipP/YWFhZY45depUJkyYoJxnZ2dLUlgIIYQQQgghxEtHdggLIf5Vjh8/rnF+7NgxXFxcsLS0xNnZWTmqVKmCh4cHP//8M1euXKnw+F5eXhQWFnLjxg2N8ZydnTV27NrZ2TFq1Ci2bdvGe++9x6pVqwBwc3Pj6NGjGonVhIQEjI2NqVWrVon5LCwsSsTt6urK9evX+f3335V2J0+eLDduKysrcnJyuH37tnItMTFRo42HhwdxcXHljpGRkaGcX716lTt37pQ7r4mJCba2tiQkJGhcT0hIwN3dvdy+5XFzcyv1u76vRo0a2Nra8t///rfE9/Taa69p9PP19a1Q/WZdXV1MTEw0DiGEEEIIIYQQ4mUjO4SFEP8q6enpTJgwgZEjR3LmzBk++ugjFi9eXGrbtm3b0qZNG3r16sWHH36Is7Mzly9fRqVS0blz51L71KlTh0GDBjFkyBDlxWl//PEHcXFxeHh40LVrV8aNG0eXLl2oU6cOt27d4sCBA7i5uQHwzjvvsHTpUt59911CQ0NJTk5m1qxZTJgwoUL1gwE6depE7dq1GTp0KAsXLiQnJ4fp06cDaOxmflCzZs0wMDDg//2//8eYMWM4fvw40dHRGm1mzZpFhw4dqF27Nv379+fevXt8++23TJ48GYD27dvz8ccf06JFCwoLC5k8ebLGrt6yTJw4kVmzZlG7dm0aNmxIVFQUiYmJbNiwoULPW5qxY8cSFBSEt7c3Pj4+bNiwgYsXL2rUa549ezZjxozB1NSUzp07k5eXx6lTp7h165bGTl8hhPgnSYvsWtkhCCGEEEKISiY7hIUQ/ypDhgzh77//pmnTpowePZqxY8fy1ltvldl+69atNGnShAEDBuDu7s6kSZMoLCwsd46oqCiGDBnCe++9h6urK4GBgZw8eRJ7e3sACgsLGT16NG5ubnTu3Jk6deqwYsUKAGrWrMm3337LiRMn8PT0ZNSoUYwYMUJJ6FaEtrY2MTEx5Obm0qRJE4KDg5k2bRoAenp6pfaxsLBg/fr1fPvttzRo0IBNmzaV2BXr6+vL119/zc6dO2nYsCHt27fnxIkTyv3FixdjZ2dH69atGThwIGFhYRgYGDwy3jFjxjBhwgTee+89GjRowJ49e9i5cycuLi4VfuaH9evXjxkzZjBp0iQaN27MtWvXlBIQ9wUHB/PFF18QFRVFgwYNaNu2LdHR0SV2CAshhBBCCCGEEP8kKvXDBR+FEOIfytfXl4YNG7J06dLKDuWFS0hIoFWrVqSkpFC7du3KDudfITs7G1NTU7KysqR8hBBCCCGEEEKI566iv4dKyQghhPgH2r59O0ZGRri4uJCSksLYsWPx8fGRZLAQQgghhBBCCPEvJwlhIYT4B8rJyWHy5Mmkp6dTrVo1OnbsWGatZCGEEEIIIYQQQvx7SMkIIf6BHB0dGTduHOPGjavsUMS/xLMox/FPK+khJSOEEEIIIYQQQrxIFf09VF4qJ4QgPj4elUpFZmZmZYeiUKlUxMTEVHYY4iEv489KRTk6Ov5jks1CCCGEEEIIIcSTkpIRQgghxGPIz89HR0enssMQQvxLOU7Z/VT90yK7PqNIhBBCCCHEq0p2CAvxisnJyWHQoEEYGhpiY2PDkiVL8PX1LbM8RFpaGiqVisTEROVaZmYmKpWK+Ph40tLSaNeuHQDm5uaoVCqCgoIA2LNnD61atcLMzAxLS0u6detGampqibG/+uorWrdujb6+Pk2aNOHKlSucPHkSb29vjIyM6NKlC3/88YfS7+TJk3Tq1Ilq1aphampK27ZtOXPmjHLf0dERgB49eqBSqZRzgB07dtCoUSP09PRwcnJi9uzZ3Lt377HWcOfOnbi4uKCnp0e7du1Ys2aNxq7XmzdvMmDAAGrWrImBgQENGjRg06ZNGmP4+vry7rvvMm7cOMzNzalRowarVq3i9u3bDBs2DGNjY5ydnfnuu++UPvd31+7duxcvLy/09fVp3749N27c4LvvvsPNzQ0TExMGDhzInTt3lH6P+h5K86RzFRUVMX/+fF577TX09fXx9PTkm2++ASj3Z+V+30mTJmFhYYG1tTXh4eHKveHDh9OtWzeNGAsKCqhevTpffvnlo7+0/ynv+1er1YSHh2Nvb4+uri62traMGTNG+b6uXbvG+PHjUalUqFQqZczDhw8rP792dnaMGTOG27dvK/cdHR2ZM2cOQ4YMwcTEhLfeeqvC8QohhBBCCCGEEC8bSQgL8YqZMGECCQkJ7Ny5k3379nHo0CGNZOrjsrOzY+vWrQAkJyeTkZHBsmXLALh9+zYTJkzg1KlTxMXFoaWlRY8ePSgqKtIYY9asWUyfPp0zZ85QpUoVBg4cyKRJk1i2bBmHDh0iJSWFmTNnKu1zcnIYOnQohw8f5tixY7i4uODv709OTg5QnDAGiIqKIiMjQzk/dOgQQ4YMYezYsVy6dImVK1cSHR3N3LlzK/y8P/30E7179yYwMJBz584xcuRIpk2bptHm7t27NG7cmN27d3PhwgXeeustBg8ezIkTJzTarVmzhmrVqnHixAneffdd3n77bfr06UPLli05c+YMr7/+OoMHD9ZIuAKEh4fz8ccfc+TIEa5fv07fvn1ZunQpGzduZPfu3Xz//fd89NFHSvuKfg+ledy55s+fz9q1a/nss8+4ePEi48eP58033+TgwYPl/qzcXw9DQ0OOHz/OwoULiYiIYN++fQAEBwezZ88eMjIylPaxsbHcuXOHfv36PfI54NHf/9atW1myZAkrV67k6tWrxMTE0KBBAwC2bdtGrVq1iIiIICMjQ4kjNTWVzp0706tXL3788Ue2bNnC4cOHCQ0N1Zh70aJFeHp6cvbsWWbMmFGheIUQQgghhBBCiJeSWgjxysjOzlZXrVpV/fXXXyvXMjMz1QYGBuqxY8cq1xwcHNRLlixRq9Vq9U8//aQG1GfPnlXu37p1Sw2oDxw4oFar1f+fvfsOq7p+Hz/+POxx2CJDUUCGKKDgxG2aKEruQS5UHKWZGq6PC7AcKSpmmhNciZYjU3P+xBTNDWoQKolYkZQDwoEK/P7g8v31yBBLRet+XNe5Ls77/Rr363WOdXH78n4XHDx4sAAouHXrVqnz//HHHwVAwfnz5zXGXrFihdJmw4YNBUDBgQMHlGszZ84scHd3L3HcvLy8AhMTk4Jvv/1WuQYUbN26VaNdq1atCmbMmKFxbe3atQV2dnalxv2k8ePHF3h6empcmzRp0jPX3759+4KPPvpIed+8efOCJk2aKO8fPXpUYGxsXNC3b1/lWkZGRgFQcOzYsYKCgv/b5/379yttZs6cWQAUpKamKteGDh1a4O/vX2IsT38Oxfk7c92/f7/AyMio4OjRoxpjDRo0qCAoKEhj3Kf36un9KCgoKKhXr17B+PHjlfc1atQomD17tvI+MDCwIDg4WGOMJ7/HT3vW5x8ZGVng5uZW8ODBg2L7P/nn4sm1DRkyROPa4cOHC7S0tAru3bun9OvUqVOJcT12//79gqysLOV17dq1AqAgKyvrmX2FEKKsqo7f8Y9eQgghhBDi3ysrK6tMv4fKCWEh3iA///wzDx8+pH79+so1MzMz3N3dX8p8ly5dIigoCGdnZ0xNTZXSDenp6RrtvL29lZ9tbGwAlJOZj69lZmYq769fv87gwYNxdXXFzMwMU1NTcnJyioz7tMTERCIiIlCr1cpr8ODBZGRkFDmFW5KUlBTq1aunce3J/QTIy8tj+vTpeHl5YWlpiVqtZs+ePaWuW1tbGysrqyLrBjTW/nQ/GxsbjIyMcHZ21rj2ZJ9nfQ7t2rVT9qNmzZp/e67Lly9z9+5d3n77bY09XrNmzTNLVDw9F4CdnZ3GOkJCQoiOjgYKvwPfffcdAwcOfOa4jz3r8+/evTv37t3D2dmZwYMHs3Xr1meWE0lMTCQmJkZjTH9/f/Lz87ly5YrSrm7dus+Mb+bMmZiZmSkvBweHMq9NCCGEEEIIIYR4VeShckL8y2lpFf69T0FBgXLt4cOHZeobGBhI1apVWb58Ofb29uTn5+Pp6cmDBw802unq6io/P67N+vS1J8sb9O/fnxs3bhAVFUXVqlXR19fHz8+vyLhPy8nJITw8nC5duhS5Z2BgUKY1lcWcOXOIiopiwYIFeHl5YWxszKhRo0pdNxSus7i9eLq0w9NtihvnyT7P+hxWrFjBvXv3io3peebKyckBYOfOnVSqVEmjnb6+Ps/yrHX069ePCRMmcOzYMY4ePYqTkxNNmzZ95riPPevzd3BwICUlhf3797Nv3z7ef/995syZw6FDh4rE9uSYQ4cOVWoNP6lKlSrKz8bGxs+Mb+LEiYwZM0Z5n52dLUlhIYQQQgghhBCvHUkIC/EGcXZ2RldXl5MnTyrJqqysLC5evEizZs2K7WNtbQ1ARkYGPj4+ABoPmAPQ09MDCk/GPnbjxg1SUlJYvny5krQ7cuTIC1lHfHw8ixcvJiAgAIBr167x559/arTR1dXViAfA19eXlJQUXFxc/vbc7u7u7Nq1S+Pa4xrFT8bXsWNH+vTpAxQmdC9evEiNGjX+9rx/V1k+h6eTt39XjRo10NfXJz09nebNmxfbprjvSllZWVnRqVMnoqOjOXbsGAMGDHiu/mX5/A0NDQkMDCQwMJDhw4dTvXp1zp8/j6+vL3p6esV+p5KSkv7Rd+oxfX39MiXOhRBCCCGEEEKI8iQJYSHeICYmJvTv35+xY8diaWlJxYoVmTZtGlpaWspp1KcZGhrSsGFDZs2ahZOTE5mZmUyePFmjTdWqVVGpVOzYsYOAgAAMDQ2xsLDAysqKZcuWYWdnR3p6OhMmTHgh63B1dWXt2rXUrVuX7Oxsxo4di6GhoUYbR0dHDhw4QOPGjdHX18fCwoKpU6fSoUMHqlSpQrdu3dDS0iIxMZELFy7w8ccfl2nuoUOHMm/ePMaPH8+gQYNISEggJiYG+L8Tva6urnz99dccPXoUCwsL5s2bx/Xr18slIfwyP4enmZiYEBoayujRo8nPz6dJkyZkZWURHx+Pqakp/fv3L/a7olaryzxHSEgIHTp0IC8vj/79+z9XfM/6/GNiYsjLy6NBgwYYGRmxbt06DA0NqVq1KlD4nfr+++/p1asX+vr6VKhQgfHjx9OwYUNGjBhBSEgIxsbGJCUlsW/fPhYtWvRc8QkhxKuQNqt9eYcghBBCCCHecFJDWIg3zLx58/Dz86NDhw60bt2axo0b4+HhUWrJhFWrVvHo0SPq1KnDqFGjiiRPK1WqRHh4OBMmTMDGxoYRI0agpaVFbGwsp0+fxtPTk9GjRzNnzpwXsoaVK1dy69YtfH196du3LyNHjqRixYoabSIjI9m3bx8ODg7KyWZ/f3927NjB3r17qVevHg0bNmT+/PlKwg8gODiYFi1alDi3k5MTX3/9NVu2bMHb25slS5YwadIk4P/KIkyePBlfX1/8/f1p0aIFtra2dOrU6YWs/Xm9zM+hONOnT2fKlCnMnDkTDw8P2rZty86dO3FycgKK/648j9atW2NnZ4e/vz/29vbP1fdZn7+5uTnLly+ncePGeHt7s3//fr799lusrKwAiIiIIC0tjWrVqikn5729vTl06BAXL16kadOm+Pj4MHXq1OeOTQghhBBCCCGEeFOoCp4sLCqEeOPcuXOHSpUqERkZyaBBg8o7nHLXvHlzWrZsSVhYWJn7fPLJJ3zxxRdcu3bt5QUmgMKavZUqVSI6OrrYWsD/JtnZ2ZiZmZGVlYWpqWl5hyOEEEIIIYQQ4l+urL+HSskIId4wZ8+e5aeffqJ+/fpkZWUREREBQMeOHcs5svKXlZVFamoqO3fuLLXd4sWLqVevHlZWVsTHxzNnzpznPukqnk9+fj5//vknkZGRmJub884775R3SEIIIYQQQgghxH+SJISFeAPNnTuXlJQU9PT0qFOnDocPH6ZChQrlHVa5MzMz45dffnlmu0uXLvHxxx9z8+ZNqlSpwkcffcTEiRNfQYT/Xenp6Tg5OVG5cmViYmLQ0ZH//QghhBBCCCGEEOVBSkYIIf6V0tLScHJy4uzZs9SuXfu1H7e84ggLC2Pbtm0kJCS80nn/C6RkhBBCCCGEEEKIV6msv4fKQ+WEEG+EsLAwVCqVxqt69erlHVa5cXBwICMjA09Pz/IO5bWgUqnYtm3bc/dzdHRkwYIFLzweIYQQQgghhBDidSX/ZlcI8caoWbMm+/fvV96/jmUHCgoKyMvLe+mxaWtrY2tr+1LnEEKI15njhNLrxYvipc1qX94hCCGEEEKIciYnhIUQbwwdHR1sbW2VV1nqJv/888+0bNkSIyMjatWqxbFjxwC4c+cOpqamfP311xrtt23bhrGxMX/99RcAJ06cwMfHBwMDA+rWrcvZs2c12sfFxaFSqfjuu++oU6cO+vr6HDlyhNzcXEaOHEnFihUxMDCgSZMmnDx5EoD79+9Ts2ZNhgwZooyTmpqKiYkJq1atKlNsaWlpqFQqpdTD4zgOHDhA3bp1MTIyolGjRqSkpGiMMWvWLGxsbDAxMWHQoEHcv39f435+fj4RERFUrlwZfX19ateuze7du0vd4wsXLtCuXTvUajU2Njb07duXP//8U7m/e/dumjRpgrm5OVZWVnTo0IHU1FSNMX755ReCgoKwtLTE2NiYunXrcvz4ceX+N998g6+vLwYGBjg7OxMeHs6jR4+AwlO+AJ07d0alUinvU1NT6dixIzY2NqjVaurVq6fxFwotWrTg6tWrjB49Wjl1/tiRI0do2rQphoaGODg4MHLkSO7cuVPqPgghhBBCCCGEEG8CSQgLId4Yly5dwt7eHmdnZ3r37k16evoz+0yaNInQ0FASEhJwc3MjKCiIR48eYWxsTK9evYiOjtZoHx0dTbdu3TAxMSEnJ4cOHTpQo0YNTp8+TVhYGKGhocXOM2HCBGbNmkVycjLe3t6MGzeOzZs3s3r1as6cOYOLiwv+/v7cvHkTAwMD1q9fz+rVq/nmm2/Iy8ujT58+vP322wwcOLBMsZW23sjISE6dOoWOjg4DBw5U7m3atImwsDBmzJjBqVOnsLOzY/HixRr9o6KiiIyMZO7cuZw7dw5/f3/eeecdLl26VOx8t2/f5q233sLHx4dTp06xe/durl+/To8ePZQ2d+7cYcyYMZw6dYoDBw6gpaVF586dyc/PByAnJ4fmzZvz66+/sn37dhITExk3bpxy//Dhw/Tr148PP/yQpKQkli5dSkxMDJ988gmAkmiPjo4mIyNDeZ+Tk0NAQAAHDhzg7NmztG3blsDAQOV7s2XLFipXrkxERAQZGRlkZGQAhYnktm3b0rVrV86dO8fGjRs5cuQII0aMKHHfhRBCCCGEEEKIN4U8VE4I8Ub47rvvyMnJwd3dnYyMDMLDw/n111+5cOFCsQnSxw8/W7FiBYMGDQIgKSmJmjVrkpycTPXq1Tlx4gSNGjXi2rVr2NnZkZmZSaVKldi/fz/Nmzdn2bJl/O9//+OXX37BwMAAgC+++IL33ntPeahaXFwcLVu2ZNu2bXTs2BEoTIBaWFgQExPDu+++C8DDhw9xdHRk1KhRjB07FoA5c+bw6aef0qtXLzZv3sz58+exsrICeGZsTz/c7XEc+/fvp1WrVgDs2rWL9u3bc+/ePQwMDGjUqBE+Pj58/vnnyj41bNiQ+/fvKyeNK1WqxPDhw/nf//6ntKlfvz716tXj888/LzLvxx9/zOHDh9mzZ4/S/pdffsHBwYGUlBTc3NyKfDZ//vkn1tbWnD9/Hk9PT5YtW0ZoaChpaWlYWloWad+6dWtatWrFxIkTlWvr1q1j3Lhx/Pbbb0BhDeGtW7fSqVOn0r5GeHp6MmzYMCW5+/gzGTVqlNImJCQEbW1tli5dqlw7cuQIzZs3586dO8p34Wm5ubnk5uYq77Ozs3FwcJCHygnxkkjJiL9HSkYIIYQQQvx7yUPlhBD/Ku3ataN79+54e3vj7+/Prl27uH37Nps2bWLYsGGo1Wrl9SRvb2/lZzs7OwAyMzOBwkRnzZo1Wb16NVCYZKxatSrNmjUDUE77PpkA9PPzKza+unXrKj+npqby8OFDGjdurFzT1dWlfv36JCcnK9c++ugj3NzcWLRoEatWrVKSwWWJrSSlrTc5OZkGDRpotH9yPdnZ2fz2228acQM0btxYI+4nJSYmcvDgQY39f/ywv8dlIS5dukRQUBDOzs6YmpoqJR0en9RNSEjAx8en2GTw4zkiIiI05hg8eDAZGRncvXu3xL3IyckhNDQUDw8PzM3NUavVJCcnP/NkeWJiIjExMRrz+fv7k5+fz5UrV0rsN3PmTMzMzJSXg4NDqfMIIYQQQgghhBDl4fV7IpMQQpSBubk5bm5uXL58mYiIiBJLOejq6io/P64R+7gUARSeBv3888+ZMGEC0dHRDBgwQKOWbFkZGxs/d5/MzEwuXryItrY2ly5dom3bthr3/05sz1rvi5aTk0NgYCCzZ88ucu9xQjowMJCqVauyfPly7O3tyc/Px9PTkwcPHgBgaGj4zDnCw8Pp0qVLkXslndYFCA0NZd++fcydOxcXFxcMDQ3p1q2bMm9p8w0dOpSRI0cWuVelSpUS+02cOJExY8Yo7x+fEBZCCCGEEEIIIV4nckJYCPFGysnJITU1FTs7OypWrIiLi4vyeh59+vTh6tWrLFy4kKSkJPr376/c8/Dw4Ny5cxoPXvvhhx+eOWa1atXQ09MjPj5eufbw4UNOnjxJjRo1lGsDBw7Ey8uL1atXM378+CKncEuL7e/w8PDQeFDb0+sxNTXF3t5eI26A+Ph4jbif5Ovry48//oijo6PGZ+Di4oKxsTE3btwgJSWFyZMn06pVKzw8PLh165bGGN7e3iQkJHDz5s0S50hJSSkyvouLC1pahf8b09XVJS8vr0jcwcHBdO7cGS8vL2xtbUlLS9Noo6enV6Sfr68vSUlJxc6np6dXbIwA+vr6mJqaaryEEEIIIYQQQojXjZwQFkK8EUJDQ5WTpr/99hvTpk1DW1uboKCgfzSuhYUFXbp0YezYsbRp04bKlSsr9959910mTZrE4MGDmThxImlpacydO/eZYxobG/Pee+8xduxYLC0tqVKlCp9++il3795V6hl//vnnHDt2jHPnzuHg4MDOnTvp3bs3P/zwg5J0LC22v+PDDz8kODiYunXr0rhxY9avX8+PP/6Is7Oz0mbs2LFMmzaNatWqUbt2baKjo0lISGD9+vXFjjl8+HCWL19OUFAQ48aNw9LSksuXLxMbG8uKFSuwsLDAysqKZcuWYWdnR3p6OhMmTNAYIygoiBkzZtCpUydmzpyJnZ0dZ8+exd7eHj8/P6ZOnUqHDh2oUqUK3bp1Q0tLi8TERC5cuMDHH38MFNYCPnDgAI0bN0ZfXx8LCwtcXV3ZsmULgYGBqFQqpkyZUuS0tKOjI99//z29evVCX1+fChUqMH78eBo2bMiIESMICQnB2NiYpKQk9u3bx6JFi/7RZyCEeHGkFq4QQgghhBB/j5wQFkK8EX755ReCgoJwd3enR48eWFlZ8cMPP2Btbf2Pxx40aBAPHjxg4MCBGtfVajXffvst58+fx8fHh0mTJhVbGqE4s2bNomvXrvTt2xdfX18uX77Mnj17sLCw4KeffmLs2LEsXrxYKSmwePFi/vzzT6ZMmVKm2P6Onj17MmXKFMaNG0edOnW4evUq7733nkabkSNHMmbMGD766CO8vLzYvXs327dvx9XVtdgxH58ozsvLo02bNnh5eTFq1CjMzc3R0tJCS0uL2NhYTp8+jaenJ6NHj2bOnDkaY+jp6bF3714qVqxIQEAAXl5ezJo1C21tbQD8/f3ZsWMHe/fupV69ejRs2JD58+dTtWpVZYzIyEj27duHg4MDPj4+AMybNw8LCwsaNWpEYGAg/v7++Pr6aswdERFBWloa1apVU75L3t7eHDp0iIsXL9K0aVN8fHyYOnUq9vb2/+wDEEIIIYQQQgghXgOqgoKCgvIOQgghytPatWsZPXo0v/32W6klAcrD6xybKF1Zn+4qhBBCCCGEEEK8CGX9PVRKRggh/rPu3r1LRkYGs2bNYujQoa9VwvV1jk0IIYQQQgghhBBvLikZIYT4z/r000+pXr06tra2TJw4sbzD0fA6xyaEEEIIIYQQQog3lySEhRD/WWFhYTx8+JADBw6gVqvLOxwA0tLSUKlUdOrUqcTY4uLiUKlU3L59G4CYmBjMzc1faBxPzyGEEEIIIYQQQoh/B0kICyH+1WbNmoVKpWLUqFHlHUqZODg4kJGRgaenZ5n79OzZk4sXL77EqP6+4OBgOnXqVN5hlOh1j08IIYQQQgghhHjRpIawEOJf6+TJkyxduhRvb+/yDqXMtLW1sbW1fa4+hoaGGBoavqSIhBBC/Js4TthZ7PW0We1fcSRCCCGEEKK8yAlhIcS/Uk5ODr1792b58uVYWFg8s/3Ro0epXbs2BgYG1K1bl23btqFSqUhISACKL8vwuM1jqampdOzYERsbG9RqNfXq1WP//v0afRwdHZkxYwYDBw7ExMSEKlWqsGzZMuX+45IRj+cF2LVrF25ubhgaGtKyZUvS0tI0xnw6trCwMGrXrs3atWtxdHTEzMyMXr168ddffyltcnNzGTlyJBUrVsTAwIAmTZpw8uTJIvsSHx+Pt7c3BgYGNGzYkAsXLhSZ50kLFizA0dFRub969Wq++eYbVCoVKpWKuLg4AMaPH4+bmxtGRkY4OzszZcoUHj58+ELXkJeXx6BBg3BycsLQ0BB3d3eioqI05igpvmvXrtGjRw/Mzc2xtLSkY8eORfZdCCGEEEIIIYR4E0lCWAjxrzR8+HDat29P69atn9k2OzubwMBAvLy8OHPmDNOnT2f8+PHPPWdOTg4BAQEcOHCAs2fP0rZtWwIDA0lPT9doFxkZSd26dTl79izvv/8+7733HikpKcWOee3aNbp06UJgYCAJCQmEhIQwYcKEZ8aSmprKtm3b2LFjBzt27ODQoUPMmjVLuT9u3Dg2b97M6tWrOXPmDC4uLvj7+3Pz5k2NccaOHUtkZCQnT57E2tqawMBAjcRtaUJDQ+nRowdt27YlIyODjIwMGjVqBICJiQkxMTEkJSURFRXF8uXLmT9//gtdQ35+PpUrV+arr74iKSmJqVOn8r///Y9NmzaVGt/Dhw/x9/fHxMSEw4cPEx8fj1qtpm3btjx48KDE9ebm5pKdna3xEkIIIYQQQgghXjeSEBZC/OvExsZy5swZZs6cWab2X375JSqViuXLl1OjRg3atWvH2LFjn3veWrVqMXToUDw9PXF1dWX69OlUq1aN7du3a7QLCAjg/fffx8XFhfHjx1OhQgUOHjxY7JhLliyhWrVqREZG4u7uTu/evQkODn5mLPn5+cTExODp6UnTpk3p27cvBw4cAODOnTssWbKEOXPm0K5dO2rUqMHy5csxNDRk5cqVGuNMmzaNt99+Gy8vL1avXs3169fZunVrmfZDrVZjaGiIvr4+tra22NraoqenB8DkyZNp1KgRjo6OBAYGEhoaqiRqX9QadHV1CQ8Pp27dujg5OdG7d28GDBigzFNSfBs3biQ/P58VK1bg5eWFh4cH0dHRpKenKyeIizNz5kzMzMyUl4ODQ5n2SQghhBBCCCGEeJUkISyE+Fe5du0aH374IevXr8fAwKDI/WHDhqFWq5UXQEpKilIW4bH69es/99w5OTmEhobi4eGBubk5arWa5OTkIieEn6xprFKpsLW1JTMzs9gxk5OTadCggcY1Pz+/Z8bi6OiIiYmJ8t7Ozk6ZIzU1lYcPH9K4cWPlvq6uLvXr1yc5ObnEuSwtLXF3dy/S5u/YuHEjjRs3xtbWFrVazeTJk4vs04tYw+eff06dOnWwtrZGrVazbNmyIvM8LTExkcuXL2NiYqJ8TywtLbl//z6pqakl9ps4cSJZWVnK69q1a8+1J0IIIYQQQgghxKsgD5UTQvyrnD59mszMTHx9fZVreXl5fP/99yxatIhff/2V0NDQ5x5XS0uLgoICjWtPl04IDQ1l3759zJ07FxcXFwwNDenWrVuRMgO6uroa71UqFfn5+c8dU2lexRxl2ZPiHDt2jN69exMeHo6/vz9mZmbExsYSGRmp0e6friE2NpbQ0FAiIyPx8/PDxMSEOXPmcPz48VL75eTkUKdOHdavX1/knrW1dYn99PX10dfXL3N8QgghhBBCCCFEeZCEsBDiX6VVq1acP39e49qAAQOoXr0648ePx8bGBhsbG4377u7urFu3jtzcXCWh9/QD1qytrfnrr7+4c+cOxsbGABoPfoPCB7AFBwfTuXNnoDCx+E8fRObh4VGk5MQPP/zwj8asVq0aenp6xMfHU7VqVaAwkXvy5ElGjRpVZK4qVaoAcOvWLS5evIiHhwdQuCe///47BQUFysP1nt4TPT098vLyNK4dPXqUqlWrMmnSJOXa1atXX/ga4uPjadSoEe+//77S7+kTvsXF5+vry8aNG6lYsSKmpqbPFZcQQgghhBBCCPG6k4SwEOJfxcTEBE9PT41rxsbGWFlZFbn+2LvvvsukSZMYMmQIEyZMID09nblz5wIoic4GDRpgZGTE//73P0aOHMnx48eJiYnRGMfV1ZUtW7YQGBiISqViypQp//hU7rBhw4iMjGTs2LGEhIRw+vTpIvM+L2NjY9577z3Gjh2LpaUlVapU4dNPP+Xu3bsMGjRIo21ERARWVlbY2NgwadIkKlSoQKdOnQBo0aIFf/zxB59++indunVj9+7dfPfddxpJVEdHR/bs2UNKSgpWVlaYmZnh6upKeno6sbGx1KtXj507d5a5LvHzrMHV1ZU1a9awZ88enJycWLt2LSdPnsTJyanU+Hr37s2cOXPo2LEjERERVK5cmatXr7JlyxbGjRtH5cqV/+bOCyFE+Uub1b68QxBCCCGEEOVMaggLIf7zTE1N+fbbb0lISKB27dpMmjSJqVOnAih1hS0tLVm3bh27du3Cy8uLDRs2EBYWpjHOvHnzsLCwoFGjRgQGBuLv769RuuLvqFKlCps3b2bbtm3UqlWLL774ghkzZvyjMQFmzZpF165d6du3L76+vly+fJk9e/ZgYWFRpN2HH35InTp1+P333/n222+VB8N5eHiwePFiPv/8c2rVqsWJEyeKlOMYPHgw7u7u1K1bF2tra+Lj43nnnXcYPXo0I0aMoHbt2hw9epQpU6a88DUMHTqULl260LNnTxo0aMCNGzc0TguXFJ+RkRHff/89VapUoUuXLnh4eDBo0CDu378vJ4aFEEIIIYQQQrzxVAVPF4AUQgjB+vXrGTBgAFlZWRgaGpZ3OOINlJ2djZmZGVlZWZJIFkIIIYQQQgjx0pX191ApGSGEEMCaNWtwdnamUqVKJCYmMn78eHr06CHJYCGEEEIIIYQQQvyrSEJYCCGA33//nalTp/L7779jZ2dH9+7d+eSTT8o7LCGEEEIIIYQQQogXSmoICyEEMG7cONLS0rh//z5Xrlxh/vz5GBkZFdu2RYsWjBo16tUG+DfFxMRgbm5e3mG8FMWtbdmyZTg4OKClpcWCBQvKJS4hhBBCCCGEEOJ1JglhIYT4F+vZsycXL158pXMOGzYMlUr1yhOy2dnZjBgxgvHjx/Prr78yZMiQMvVzdHSU5LEQQgghhBBCiP8MKRkhhBD/YoaGhq+0DvLWrVv54YcfsLe3f2VzPpaens7Dhw9p3749dnZ2r3x+IZ7FccLO8g5BCNJmtS/vEIQQQgghRDmTE8JCCFGKO3fu0K9fP9RqNXZ2dkRGRhZpc+vWLfr164eFhQVGRka0a9eOS5cuKfcflzbYtm0brq6uGBgY4O/vz7Vr15Q2qampdOzYERsbG9RqNfXq1WP//v0a8zg6OvLxxx8r8VStWpXt27fzxx9/0LFjR9RqNd7e3pw6darI3I+FhYVRu3Zt1q5di6OjI2ZmZvTq1Yu//vpLaZOfn8/MmTNxcnLC0NCQWrVq8fXXXz9zr3799Vc++OAD1q9fj66u7jPb37p1i969e2NtbY2hoSGurq5ER0cDEBcXh0ql4vbt20r7hIQEVCoVaWlpRcaKiYnBy8sLAGdnZ6Xds/a1RYsWXL16ldGjR6NSqVCpVMq9I0eO0LRpUwwNDXFwcGDkyJHcuXPnmesSQgghhBBCCCFeZ5IQFkKIUowdO5ZDhw7xzTffsHfvXuLi4jhz5oxGm+DgYE6dOsX27ds5duwYBQUFBAQE8PDhQ6XN3bt3+eSTT1izZg3x8fHcvn2bXr16KfdzcnIICAjgwIEDnD17lrZt2xIYGEh6errGXPPnz6dx48acPXuW9u3b07dvX/r160efPn04c+YM1apVo1+/fhQUFJS4ptTUVLZt28aOHTvYsWMHhw4dYtasWcr9mTNnsmbNGr744gt+/PFHRo8eTZ8+fTh06FCJY+bn59O3b1/Gjh1LzZo1y7S3U6ZMISkpie+++47k5GSWLFlChQoVytT3aT179lQSvSdOnCAjIwMHB4dn7uuWLVuoXLkyERERZGRkkJGRoexR27Zt6dq1K+fOnWPjxo0cOXKEESNGlBhDbm4u2dnZGi8hhBBCCCGEEOJ1IyUjhBCiBDk5OaxcuZJ169bRqlUrAFavXk3lypWVNpcuXWL79u3Ex8fTqFEjANavX4+DgwPbtm2je/fuADx8+JBFixbRoEEDZRwPDw9OnDhB/fr1qVWrFrVq1VLGnT59Olu3bmX79u0aSciAgACGDh0KwNSpU1myZAn16tVT5hk/fjx+fn5cv34dW1vbYteVn59PTEwMJiYmAPTt25cDBw7wySefkJuby4wZM9i/fz9+fn5A4YnbI0eOsHTpUpo3b17smLNnz0ZHR4eRI0eWeX/T09Px8fGhbt26QOEJ6L/L0NAQKysrAKytrZW1P2tfLS0t0dbWxsTERGO/Zs6cSe/evZWHB7q6urJw4UKaN2/OkiVLMDAwKBLDzJkzCQ8P/9trEEIIIYQQQgghXgU5ISyEECVITU3lwYMHShIXwNLSEnd3d+V9cnIyOjo6Gm2srKxwd3cnOTlZuaajo0O9evWU99WrV8fc3Fxpk5OTQ2hoKB4eHpibm6NWq0lOTi5yQtjb21v52cbGBkAplfDktczMzBLX5ejoqCSDAezs7JT2ly9f5u7du7z99tuo1WrltWbNGlJTU4sd7/Tp00RFRRETE6NRcuFJ7dq1U8Z6fIL4vffeIzY2ltq1azNu3DiOHj1aYsx/V1n39WmJiYnExMRo7IG/vz/5+flcuXKl2D4TJ04kKytLeT1ZEkQIIYQQQgghhHhdyAlhIYR4DYSGhrJv3z7mzp2Li4sLhoaGdOvWjQcPHmi0e7I27+Pka3HX8vPzS5zr6fq+KpVKaZ+TkwPAzp07qVSpkkY7fX39Ysc7fPgwmZmZVKlSRbmWl5fHRx99xIIFC0hLS2PFihXcu3dPY/527dpx9epVdu3axb59+2jVqhXDhw9n7ty5aGkV/n3lk6UvnizBUVZl3den5eTkMHTo0GJPPD+5zifp6+uXuEdCCCGEEEIIIcTrQhLCQghRgmrVqqGrq8vx48eVJOCtW7e4ePGiUjrBw8ODR48ecfz4caVkxI0bN0hJSaFGjRrKWI8ePeLUqVPUr18fgJSUFG7fvo2HhwcA8fHxBAcH07lzZ6AwIVncw9Netho1aqCvr096enqJ5SGe1rdvX1q3bq1xzd/fn759+zJgwACAIsnlx6ytrenfvz/9+/enadOmjB07lrlz52JtbQ1ARkYGFhYWQOFD5Z5XWfZVT0+PvLw8jWu+vr4kJSXh4uLy3HMKIYQQQgghhBCvM0kICyFECdRqNYMGDWLs2LFYWVlRsWJFJk2apJxehcLash07dmTw4MEsXboUExMTJkyYQKVKlejYsaPSTldXlw8++ICFCxeio6PDiBEjaNiwoZIgdnV1ZcuWLQQGBqJSqZgyZUqpp3xfFhMTE0JDQxk9ejT5+fk0adKErKws4uPjMTU1pX///kX6WFlZKfV7H9PV1cXW1lajvMbTpk6dSp06dahZsya5ubns2LFDSZC7uLjg4OBAWFgYn3zyCRcvXiQyMvK511OWfXV0dOT777+nV69e6OvrU6FCBcaPH0/Dhg0ZMWIEISEhGBsbk5SUxL59+1i0aNFzxyEEQNqs9uUdghBCCCGEEEJIDWEhhCjNnDlzaNq0KYGBgbRu3ZomTZpQp04djTbR0dHUqVOHDh064OfnR0FBAbt27dIozWBkZMT48eN59913ady4MWq1mo0bNyr3582bh4WFBY0aNSIwMBB/f398fX1f2TqfNH36dKZMmcLMmTPx8PCgbdu27Ny5Eycnpxc6j56eHhMnTsTb25tmzZqhra1NbGwsUJhQ3rBhAz/99BPe3t7Mnj2bjz/++LnnKMu+RkREkJaWRrVq1ZSTyd7e3hw6dIiLFy/StGlTfHx8mDp1Kvb29v984UIIIYQQQgghRDlSFTxZoFEIIcQLFxMTw6hRo7h9+3Z5hyJeoezsbMzMzMjKysLU1LS8wxFCCCGEEEII8S9X1t9D5YSwEEIIIYQQQgghhBBC/EdIQlgIIYQQQgghhBBCCCH+IyQhLIQQL1lwcLBGuYgWLVowatSocovnn4iLi0OlUv2j8hcvYgwhhBBCCCGEEEL8PZIQFkIIUazXIXF99uxZevbsiZ2dHfr6+lStWpUOHTrw7bffUlwJfH9/f7S1tTl58mSRe8HBwahUKuVlZWVF27ZtOXfuXLFzDx06FG1tbb766qsXvi4hhBBCCCGEEKK86JR3AEII8V/x4MED9PT0yjuMN8Y333xDjx49aN26NatXr8bFxYXc3FyOHj3K5MmTadq0Kebm5kr79PR0jh49yogRI1i1ahX16tUrMmbbtm2Jjo4G4Pfff2fy5Ml06NCB9PR0jXZ3794lNjaWcePGsWrVKrp37/5S1yqEEK+K44Sd5R3Cv07arPblHYIQQgghxHORE8JCCFGK/Px8Pv30U1xcXNDX16dKlSp88sknAIwfPx43NzeMjIxwdnZmypQpPHz4UOkbFhZG7dq1WbFiBU5OThgYGCj3Hj16xIgRIzAzM6NChQpMmTJF48TrrVu36NevHxYWFhgZGdGuXTsuXboEwB9//IGtrS0zZsxQ2h89ehQ9PT0OHDhAWloaWlpanDp1SmMtCxYsoGrVquTn5wNw4cIF2rVrh1qtxsbGhr59+/Lnn38ChadpDx06RFRUlHKiNi0tTRnr9OnT1K1bFyMjIxo1akRKSgpAmed+ljt37jBo0CDat2/Pzp07adOmDc7Oznh4eDBo0CASExMxMzPT6BMdHU2HDh1477332LBhA/fu3Ssyrr6+Pra2ttja2lK7dm0mTJjAtWvX+OOPPzTaffXVV9SoUYMJEybw/fffc+3atTLFLYQQQgghhBBCvO4kISyEEKWYOHEis2bNYsqUKSQlJfHll19iY2MDgImJCTExMSQlJREVFcXy5cuZP3++Rv/Lly+zefNmtmzZQkJCgnJ99erV6OjocOLECaKiopg3bx4rVqxQ7gcHB3Pq1Cm2b9/OsWPHKCgoICAggIcPH2Jtbc2qVasICwvj1KlT/PXXX/Tt25cRI0bQqlUrHB0dad26tXIS9rHo6GiCg4PR0tLi9u3bvPXWW/j4+HDq1Cl2797N9evX6dGjBwBRUVH4+fkxePBgMjIyyMjIwMHBQRlr0qRJREZGcurUKXR0dBg4cCBAmeYui71793Ljxg3GjRtXYhuVSqX8XFBQQHR0NH369KF69eq4uLjw9ddflzpHTk4O69atw8XFBSsrK417K1eupE+fPpiZmdGuXTtiYmKeGXNubi7Z2dkaLyGEEEIIIYQQ4nUjCWEhhCjBX3/9RVRUFJ9++in9+/enWrVqNGnShJCQEAAmT55Mo0aNcHR0JDAwkNDQUDZt2qQxxoMHD1izZg0+Pj54e3sr1x0cHJg/fz7u7u707t2bDz74QEkmX7p0ie3bt7NixQqaNm1KrVq1WL9+Pb/++ivbtm0DICAggMGDB9O7d2+GDRuGsbExM2fOVMYPCQlhw4YN5ObmAnDmzBnOnz/PgAEDAFi0aBE+Pj7MmDGD6tWr4+Pjw6pVqzh48CAXL17EzMwMPT09jIyMlBO12trayviffPIJzZs3V07RHj16lPv375dp7rK4ePEiAO7u7sq1kydPolarldeOHTuUe/v37+fu3bv4+/sD0KdPH1auXFlk3B07dij9TUxM2L59Oxs3btRIVF+6dIkffviBnj17KmNFR0cXW7P4STNnzsTMzEx5PZlAF0IIIYQQQgghXheSEBZCiBIkJyeTm5tLq1atir2/ceNGGjdujK2tLWq1msmTJxepRVu1alWsra2L9G3YsKHGCVc/Pz8uXbpEXl4eycnJ6Ojo0KBBA+W+lZUV7u7uJCcnK9fmzp3Lo0eP+Oqrr1i/fj36+vrKvU6dOqGtrc3WrVsBiImJoWXLljg6OgKQmJjIwYMHNRKs1atXByA1NfWZe/NkctvOzg6AzMzMMs39tCdjGDZsWKlzJiQkkJCQwJ07d3j06JFyb9WqVfTs2RMdncLS+EFBQcTHxxdZS8uWLZUxTpw4gb+/P+3atePq1asaY/n7+1OhQgWgMPmelZXF//t//6/UPZk4cSJZWVnKS8pMCCGEEEIIIYR4HUlCWAghSmBoaFjivWPHjtG7d28CAgLYsWMHZ8+eZdKkSTx48ECjnbGx8UuLLzU1ld9++438/HyN+r4Aenp69OvXj+joaB48eMCXX36plHWAwnIJgYGBSnL08evSpUs0a9bsmXPr6uoqPz9ObD+uD/ysuZ/25PwREREAuLq6Aii1iaGw/q+LiwsuLi4a/W/evMnWrVtZvHgxOjo66OjoUKlSJR49esSqVas02hobGytj1KtXjxUrVnDnzh2WL18OQF5eHqtXr2bnzp3KWEZGRty8ebPIWE/T19fH1NRU4yWEEEIIIYQQQrxudMo7ACGEeF25urpiaGjIgQMHlDIRjx09epSqVasyadIk5dqTp0yf5fjx4xrvf/jhB1xdXdHW1sbDw4NHjx5x/PhxGjVqBMCNGzdISUmhRo0aQGEpij59+tCzZ0/c3d0JCQnh/PnzVKxYURkzJCQET09PFi9ezKNHj+jSpYtyz9fXl82bN+Po6Kicqn2anp4eeXl5ZV7Tk0qb+2lPJ3gB2rRpg6WlJbNnz1ZOGpdk/fr1VK5cWSmn8djevXuJjIwkIiJCo9zFk1QqFVpaWsoD6Hbt2sVff/3F2bNnNfpcuHCBAQMGcPv2bczNzUuNRwghhBBCCCGEeJ1JQlgIIUpgYGDA+PHjGTduHHp6ejRu3Jg//viDH3/8EVdXV9LT04mNjaVevXrs3LnzmYnLJ6WnpzNmzBiGDh3KmTNn+Oyzz4iMjAQKE9EdO3Zk8ODBLF26FBMTEyZMmEClSpXo2LEjUPhQt6ysLBYuXIharWbXrl0MHDhQo66uh4cHDRs2ZPz48QwcOFDjxPPw4cNZvnw5QUFBjBs3DktLSy5fvkxsbCwrVqxAW1sbR0dHjh8/TlpaGmq1GktLyzKvr7S5y0KtVrNixQp69uxJ+/btGTlyJK6uruTk5LB7924AJWG7cuVKunXrhqenp8YYDg4OTJw4kd27d9O+fXug8MFvv//+OwC3bt1i0aJFymnpx2O1b9+eWrVqaYxVo0YNRo8ezfr16xk+fPhzrUUIIV4nabPal3cIQgghhBCinEnJCCGEKMWUKVP46KOPmDp1Kh4eHvTs2ZPMzEzeeecdRo8ezYgRI6hduzZHjx5lypQpZR63X79+3Lt3j/r16zN8+HA+/PBDhgwZotyPjo6mTp06dOjQAT8/PwoKCti1axe6urrExcWxYMEC1q5di6mpKVpaWqxdu5bDhw+zZMkSjXkGDRrEgwcPipRssLe3Jz4+nry8PNq0aYOXlxejRo3C3NxcecBaaGgo2tra1KhRA2tr6yL1kZ+lpLnLqnPnzhw9ehQjIyP69euHu7s7b731Fv/v//0/YmNj6dChA6dPnyYxMZGuXbsW6W9mZkarVq00Hi63e/du7OzssLOzo0GDBpw8eZKvvvqKFi1acP36dXbu3FnsWFpaWnTu3LnYB9UJIYQQQgghhBBvElXBsx6bLoQQ4o01ffp0vvrqK86dO/efmvt1kJ2djZmZGVlZWVJPWAghhBBCCCHES1fW30PlhLAQQvwL5eTkcOHCBRYtWsQHH3zwn5lbCCGEEEIIIYQQpZOEsBBC/AuNGDGCOnXq0KJFi79dsuFNnFsIIYQQQgghhBClk5IRQggh3hhpaWk4OTlx9uxZateuXd7hlEpKRgghhBBCCCGEeJWkZIQQQog3WnBwMJ06ddK45uDgQEZGBp6eni9kjrCwsNc+sSyEEEIIIYQQQrxIOuUdgBBCCFFW2tra2NralncYQgjxxnKcsLO8QxBPSZvVvrxDEEIIIcR/jJwQFkII8dz++usvevfujbGxMXZ2dsyfP58WLVowatQoAHJzcwkNDaVSpUoYGxvToEED4uLilP4xMTGYm5uzZ88ePDw8UKvVtG3bloyMDKDw5O7q1av55ptvUKlUqFQq4uLiSEtLQ6VSkZCQAMCtW7fo3bs31tbWGBoa4urqSnR0tDLP+PHjcXNzw8jICGdnZ6ZMmcLDhw+VGMLDw0lMTFTmiImJAeD27duEhIRgbW2Nqakpb731FomJiS99X4UQQgghhBBCiJdNTggLIYR4bmPGjCE+Pp7t27djY2PD1KlTOXPmjFJ+YcSIESQlJREbG4u9vT1bt26lbdu2nD9/HldXVwDu3r3L3LlzWbt2LVpaWvTp04fQ0FDWr19PaGgoycnJZGdnKwleS0tLfvvtN404pkyZQlJSEt999x0VKlTg8uXL3Lt3T7lvYmJCTEwM9vb2nD9/nsGDB2NiYsK4cePo2bMnFy5cYPfu3ezfvx8AMzMzALp3746hoSHfffcdZmZmLF26lFatWnHx4kUsLS2L3ZPc3Fxyc3OV99nZ2S9ms4UQQgghhBBCiBdIEsJCCCGey19//cXq1av58ssvadWqFQDR0dHY29sDkJ6eTnR0NOnp6cq10NBQdu/eTXR0NDNmzADg4cOHfPHFF1SrVg0oTCJHREQAoFarMTQ0JDc3t9QSEenp6fj4+FC3bl0AHB0dNe5PnjxZ+dnR0ZHQ0FBiY2MZN24choaGqNVqdHR0NOY4cuQIJ06cIDMzE319fQDmzp3Ltm3b+PrrrxkyZEixscycOZPw8PCybaIQQgghhBBCCFFOJCEshBDiufz88888fPiQ+vXrK9fMzMxwd3cH4Pz58+Tl5eHm5qbRLzc3FysrK+W9kZGRkgwGsLOzIzMz87liee+99+jatStnzpyhTZs2dOrUiUaNGin3N27cyMKFC0lNTSUnJ4dHjx6V+qRVgMTERHJycjRiBbh37x6pqakl9ps4cSJjxoxR3mdnZ+Pg4PBc6xFCCCGEEEIIIV42SQgLIYR4oXJyctDW1ub06dNoa2tr3FOr1crPurq6GvdUKhUFBQXPNVe7du24evUqu3btYt++fbRq1Yrhw4czd+5cjh07Ru/evQkPD8ff3x8zMzNiY2OJjIx8Zvx2dnYaNY8fMzc3L7Gfvr6+cqJYCCGEEEIIIYR4XUlCWAghxHNxdnZGV1eXkydPUqVKFQCysrK4ePEizZo1w8fHh7y8PDIzM2natOnfnkdPT4+8vLxntrO2tqZ///7079+fpk2bMnbsWObOncvRo0epWrUqkyZNUtpevXr1mXP4+vry+++/o6OjU6QEhRBCvOnSZrUv7xCEEEIIIUQ5k4SwEEKI52JiYkL//v0ZO3YslpaWVKxYkWnTpqGlpYVKpcLNzY3evXvTr18/IiMj8fHx4Y8//uDAgQN4e3vTvn3ZkhGOjo7s2bOHlJQUrKyslAe+PWnq1KnUqVOHmjVrkpuby44dO/Dw8ADA1dWV9PR0YmNjqVevHjt37mTr1q1F5rhy5QoJCQlUrlwZExMTWrdujZ+fH506deLTTz/Fzc2N3377jZ07d9K5c2elXrEQQgghhBBCCPEm0irvAIQQQrx55s2bh5+fHx06dKB169Y0btwYDw8PDAwMgMKHzPXr14+PPvoId3d3OnXqpHGiuCwGDx6Mu7s7devWxdramvj4+CJt9PT0mDhxIt7e3jRr1gxtbW1iY2MBeOeddxg9ejQjRoygdu3aHD16lClTpmj079q1K23btqVly5ZYW1uzYcMGVCoVu3btolmzZgwYMAA3Nzd69erF1atXsbGx+Qe7JoQQQgghhBBClD9VwfMWbBRCCCGecufOHSpVqkRkZCSDBg0q73BeC9nZ2ZiZmZGVlfXMB9kJIYQQQgghhBD/VFl/D5WSEUIIIZ7b2bNn+emnn6hfvz5ZWVlEREQA0LFjx3KOTAghhBBCCCGEEKWRkhFCiOeycuVK2rRp80LHTEtLQ6VSkZCQ8ELHfdWCg4Pp1KmT8r5FixaMGjXqhc/zssZ9XsOHD6dGjRq0bt2aO3fucPjwYSpUqPCPx33R3wdHR0cWLFjwQsYSQgghhBBCCCHedJIQFuI/KiwsDJVKpfGqXr16qX3u37/PlClTmDZt2iuK8u9TqVRs27atvMP41/Lx8eH777/H2NiYK1eusG/fPry8vIptGxMTg7m5+asN8AknT55kyJAh5Ta/EEIIIYQQQgjxOpGSEUL8h9WsWZP9+/cr73V0Sv9Pwtdff42pqSmNGzd+2aGJf+DBgwfo6em99Hk8PT2pVq0a69atY/jw4S99vr/L2tq6vEMQQojXhuOEneUdQqnSZrUv7xCEEEIIIf715ISwEP9hOjo62NraKq9n/XP/2NhYAgMDNa49evSIkSNHYm5ujpWVFePHj6d///4apRN2795NkyZNlDYdOnQgNTW1xHny8vIYNGgQTk5OGBoa4u7uTlRUVJF2q1atombNmujr62NnZ8eIESOAwhIBAJ07d0alUinvAZYsWUK1atXQ09PD3d2dtWvXKvcKCgoICwujSpUq6OvrY29vz8iRIwGIiIjA09OzSAy1a9dmypQpJa4lPz+fcePGYWlpia2tLWFhYcq9gQMH0qFDB432Dx8+pGLFiqxcuRIofFhbv379UKvV2NnZERkZWWQOR0dHpk+fTr9+/TA1NVVOw27evFnZH0dHR42+ERER2Nvbc+PGDeVa+/btadmyJfn5+WWKDSAwMJDY2NgS1/9PFRQU4OLiwty5czWuJyQkoFKpuHz5cqmfGxQtGaFSqVixYgWdO3fGyMgIV1dXtm/frjH+hQsXaNeuHWq1GhsbG/r27cuff/750tYphBBCCCGEEEK8KpIQFuI/7NKlS9jb2+Ps7Ezv3r1JT08vtf2RI0eoW7euxrXZs2ezfv16oqOjiY+PJzs7u0iphjt37jBmzBhOnTrFgQMH0NLSonPnzuTn5xc7T35+PpUrV+arr74iKSmJqVOn8r///Y9NmzYpbZYsWcLw4cMZMmQI58+fZ/v27bi4uACFJQIAoqOjycjIUN5v3bqVDz/8kI8++ogLFy4wdOhQBgwYwMGDB4HCBOr8+fNZunQply5dYtu2bUoZhIEDB5KcnKyMBYUPVjt37hwDBgwocc9Wr16NsbExx48f59NPPyUiIoJ9+/YBEBISwu7du8nIyFDa79ixg7t379KzZ08Axo4dy6FDh/jmm2/Yu3cvcXFxnDlzpsg8c+fOpVatWpw9e5YpU6Zw+vRpevToQa9evTh//jxhYWFMmTKFmJgYACZNmoSjoyMhISEAfP755xw9epTVq1ejpaVVptgA6tevz4kTJ8jNzS1xD/4JlUrFwIEDiY6O1rgeHR1Ns2bNcHFxKfVzK0l4eDg9evTg3LlzBAQE0Lt3b27evAnA7du3eeutt/Dx8eHUqVPs3r2b69ev06NHj5eyRiGEEEIIIYQQ4lWSkhFC/Ec1aNCAmJgY3N3dycjIIDw8nKZNm3LhwgVMTEyKtL99+zZZWVnY29trXP/ss8+YOHEinTt3BmDRokXs2rVLo03Xrl013q9atQpra2uSkpKKPXWrq6tLeHi48t7JyYljx46xadMmJSn38ccf89FHH/Hhhx8q7erVqwf8X4kAc3NzbG1tlftz584lODiY999/H4AxY8bwww8/MHfuXFq2bEl6ejq2tra0bt0aXV1dqlSpQv369QGoXLky/v7+REdHK/NER0fTvHlznJ2dS9xnb29vpeayq6srixYt4sCBA7z99ts0atRIOaU8btw4Zczu3bujVqvJyclh5cqVrFu3jlatWgGFCebKlSsXmeett97io48+Ut737t2bVq1aKaeX3dzcSEpKYs6cOQQHB6Otrc26deuoXbs2EyZMYOHChaxYsYIqVaoAPDO2x+zt7Xnw4AG///47VatWLXEf/ong4GCmTp3KiRMnqF+/Pg8fPuTLL79UTg2X9rmVNmZQUBAAM2bMYOHChZw4cYK2bduyaNEifHx8mDFjhtJ+1apVODg4cPHiRdzc3IodMzc3VyMxnp2d/U+XLoQQQgghhBBCvHByQliI/6h27drRvXt3vL298ff3Z9euXdy+fZtNmzYxbNgw1Gq18gK4d+8eAAYGBsoYWVlZXL9+XSP5pq2tTZ06dTTmunTpEkFBQTg7O2NqaqqUcCjtRPLnn39OnTp1sLa2Rq1Ws2zZMqV9ZmYmv/32m5IkLavk5OQi9Y8bN25McnIyAN27d+fevXs4OzszePBgtm7dyqNHj5S2gwcPZsOGDdy/f58HDx7w5ZdfMnDgwFLn9Pb21nhvZ2dHZmam8j4kJEQ5/Xr9+nW+++47ZczU1FQePHhAgwYNlPaWlpa4u7sXmefpk9slrfXSpUvk5eUB4OzszNy5c5k9ezbvvPMO7777rkb70mJ7zNDQEIC7d+8CaHxvhg0bVtrWABT7XXuavb097du3Z9WqVQB8++235Obm0r17d+DZn1txnvxcjI2NMTU1VT6XxMREDh48qBHX4wcullbqZObMmZiZmSkvBweHZ65fCCGEEEIIIYR41SQhLIQACk/Turm5cfnyZSIiIkhISFBeAFZWVqhUKm7duvXcYwcGBnLz5k2WL1/O8ePHOX78OFD48LPixMbGEhoayqBBg9i7dy8JCQkMGDBAaf84CfmiOTg4kJKSwuLFizE0NOT999+nWbNmPHz4UFmHvr4+W7du5dtvv+Xhw4d069at1DF1dXU13qtUKo1SGf369ePnn3/m2LFjrFu3DicnJ5o2bfrcsRsbGz93H4Dvv/8ebW1t0tLSiiRRyxLb4zILj09lP/m9iYiIeOb8xX3XihMSEkJsbCz37t0jOjqanj17YmRkBDz7cytOaZ9LTk4OgYGBGnElJCRw6dIlmjVrVuKYEydOJCsrS3ldu3btmesXQgghhBBCCCFeNUkICyGAwiRYamoqdnZ2VKxYERcXF+UFoKenR40aNUhKSlL6mJmZYWNjo1FXNy8vT6PG7Y0bN0hJSWHy5Mm0atUKDw+PZyaV4+PjadSoEe+//z4+Pj64uLhonMw0MTHB0dGRAwcOlDiGrq6uchL2MQ8PD+Lj44vMVaNGDeW9oaEhgYGBLFy4kLi4OI4dO8b58+eBwofw9e/fn+joaKKjo+nVq9c/Tk5bWVnRqVMnoqOjiYmJ0ahHXK1aNXR1dZUEOsCtW7e4ePHiM8ctaa1ubm5oa2sDsHHjRrZs2UJcXBzp6elMnz69zLE9duHCBSpXrqw8kPDJ703FihWfGWdx37XiBAQEYGxszJIlS9i9e3exJ5VL+tyel6+vLz/++COOjo4asbm4uJSaeNfX18fU1FTjJYQQQgghhBBCvG6khrAQ/1GhoaEEBgZStWpVfvvtN6ZNm4a2trZSV7U4/v7+HDlyhFGjRinXPvjgA2bOnImLiwvVq1fns88+49atW6hUKgAsLCywsrJi2bJl2NnZkZ6ezoQJE0qNzdXVlTVr1rBnzx6cnJxYu3YtJ0+exMnJSWkTFhbGsGHDqFixIu3ateOvv/4iPj6eDz74AEBJGDdu3Bh9fX0sLCwYO3YsPXr0wMfHh9atW/Ptt9+yZcsW9u/fD0BMTAx5eXk0aNAAIyMj1q1bh6GhoUZt3JCQEDw8PACKJFz/rpCQEDp06EBeXh79+/dXrqvVagYNGsTYsWOxsrKiYsWKTJo0CS2tZ/9d3kcffUS9evWYPn06PXv25NixYyxatIjFixcD8Msvv/Dee+8xe/ZsmjRpQnR0NB06dKBdu3Y0bNjwmbE9dvjwYdq0afPMePLy8oqcANbX11f28lm0tbUJDg5m4sSJuLq64ufnp9wry+f2PIYPH87y5csJCgpi3LhxWFpacvnyZWJjY1mxYoWSUBdCiDdR2qz25R2CEEIIIYQoZ3JCWIj/qF9++YWgoCDc3d3p0aMHVlZW/PDDD8o//S/OoEGD2LVrF1lZWcq18ePHExQURL9+/fDz80OtVuPv76/UGtbS0iI2NpbTp0/j6enJ6NGjmTNnTqmxDR06lC5dutCzZ08aNGjAjRs3lAfBPda/f38WLFjA4sWLqVmzJh06dODSpUvK/cjISPbt24eDgwM+Pj4AdOrUiaioKObOnUvNmjVZunQp0dHRtGjRAigsm7F8+XIaN26Mt7c3+/fv59tvv8XKykoZ19XVlUaNGlG9enWN2r7/ROvWrbGzs8Pf37/IQ/vmzJlD06ZNCQwMpHXr1jRp0qRIjebi+Pr6smnTJmJjY/H09GTq1KlEREQQHBxMQUEBwcHB1K9fnxEjRgCFyf733nuPPn36kJOTU6bY7t+/z7Zt2xg8ePAz48nJycHHx0fjFRgYWJbtUQwaNIgHDx4UOalcls/tedjb2xMfH09eXh5t2rTBy8uLUaNGYW5uXqZkvBBCCCGEEEII8TpTFRQUFJR3EEKIN0f37t3x9fVl4sSJxd7Pz8/Hw8ODHj16FClB8G9QUFCAq6sr77//PmPGjHkhY+bk5FCpUiWio6Pp0qXLCxnzRSkttiVLlrB161b27t37SmI5fPgwrVq14tq1a9jY2LySOf+J7OxszMzMyMrKkvIRQgghhBBCCCFeurL+HiolI4QQz2XOnDl8++23yvurV6+yd+9emjdvTm5uLosWLeLKlSu8++675Rjly/HHH38QGxvL77//Xmw93eeVn5/Pn3/+SWRkJObm5rzzzjsvIMoXoyyx6erq8tlnn730WHJzc/njjz8ICwuje/fub0QyWAghhBBCCCGEeF1JQlgI8VwcHR2VOr1QWBIiJiaG0NBQCgoK8PT0ZP/+/WWuDfsmqVixIhUqVGDZsmVYWFj84/HS09NxcnKicuXKxMTEoKPz+vwnuSyxhYSEvJJYNmzYwKBBg6hduzZr1qx5JXMKIYQQQgghhBD/VlIyQgjxnxEcHMzt27fZtm1beYfy2nsT9iouLo6WLVty69YtzM3NAdi2bRuhoaFcuXKFDz74gAULFpRbfFIyQgghhBBCCCHEq1TW30Pl6ThCiBdiyZIleHt7Y2pqiqmpKX5+fnz33XflEktaWhoqlYqEhIRymb80cXFxqFQqbt++Xd6hlCoqKoqYmJjyDuO5DR06lG7dunHt2rUy17Bu0aIFo0aNermBCSGEEEIIIYQQr4nX598nCyHeaJUrV2bWrFm4urpSUFDA6tWr6dixI2fPnqVmzZrlHd6/zoMHD9DT03tp45uZmb20sV+WnJwcMjMz8ff3x97evrzDEUIUw3HCzvIO4T8vbVb78g5BCCGEEEKUMzkhLIR4IQIDAwkICMDV1RU3Nzc++eQT1Go1P/zwQ4l9Hp/k3bRpE02bNsXQ0JB69epx8eJFTp48Sd26dVGr1bRr144//vhDo++KFSvw8PDAwMCA6tWrs3jxYuWek5MTAD4+PqhUKlq0aKHRd+7cudjZ2WFlZcXw4cN5+PChcu/WrVv069cPCwsLjIyMaNeuHZcuXQIKHypna2vLjBkzlPZHjx5FT0+PAwcOkJaWhpaWFqdOndKYb8GCBVStWpWff/6Zli1bAmBhYYFKpSI4OJg1a9ZgZWVFbm6uRr9OnTrRt29fAMLCwqhduzYrVqzAyckJAwMDAHbv3k2TJk0wNzfHysqKDh06kJqa+o/3ODg4mE6dOinvW7RowciRIxk3bhyWlpbY2toSFhamEe/t27cJCQnB2toaU1NT3nrrLRITEynJgwcPGDFiBHZ2dhgYGFC1alVmzpypEfeTp7xv376NSqUiLi6uyFhxcXGYmJgA8NZbbyntbty4QVBQEJUqVcLIyAgvLy82bNigsc5Dhw4RFRWFSqVCpVKRlpYGwIULF2jXrh1qtRobGxv69u3Ln3/+WeJ6hBBCCCGEEEKIN4EkhIUQL1xeXh6xsbHcuXMHPz+/Z7afNm0akydP5syZM+jo6PDuu+8ybtw4oqKiOHz4MJcvX2bq1KlK+/Xr1zN16lQ++eQTkpOTmTFjBlOmTGH16tUAnDhxAoD9+/eTkZHBli1blL4HDx4kNTWVgwcPsnr1amJiYjRKIwQHB3Pq1Cm2b9/OsWPHKCgoICAggIcPH2Jtbc2qVasICwvj1KlT/PXXX/Tt25cRI0bQqlUrHB0dad26NdHR0Rrri46OJjg4mKpVq7J582YAUlJSyMjIICoqiu7du5OXl8f27duVPpmZmezcuZOBAwcq1y5fvszmzZvZsmWLkii9c+cOY8aM4dSpUxw4cAAtLS06d+5Mfn7+P9rj4qxevRpjY2OOHz/Op59+SkREBPv27VPud+/enczMTL777jtOnz6Nr68vrVq14ubNm8WOt3DhQrZv386mTZtISUlh/fr1ODo6lhpDSRo1akRKSgoAmzdvJiMjg0aNGnH//n3q1KnDzp07uXDhAkOGDKFv377KdyQqKgo/Pz8GDx5MRkYGGRkZODg4cPv2bd566y18fHw4deoUu3fv5vr16/To0eNvxSeEEEIIIYQQQrwupGSEEOKFOX/+PH5+fty/fx+1Ws3WrVupUaPGM/uFhobi7+8PwIcffkhQUBAHDhygcePGAAwaNEgjaTtt2jQiIyPp0qULUHgiOCkpiaVLl9K/f3+sra0BsLKywtbWVmMuCwsLFi1ahLa2NtWrV6d9+/YcOHCAwYMHc+nSJbZv3058fDyNGjUCCpPPDg4ObNu2je7duxMQEMDgwYPp3bs3devWxdjYWDnVChASEsKwYcOYN28e+vr6nDlzhvPnz/PNN9+gra2NpaUlABUrVlQehAbw7rvvEh0dTffu3QFYt24dVapU0Tjd/ODBA9asWaOsD6Br164a61u1ahXW1tYkJSXh6en5t/e4ON7e3kybNg0AV1dXFi1axIEDB3j77bc5cuQIJ06cIDMzE319faDwJPa2bdv4+uuvGTJkSJHx0tPTcXV1pUmTJqhUKqpWrVrq/KXR09OjYsWKAMoJZoBKlSoRGhqqtPvggw/Ys2cPmzZton79+piZmaGnp4eRkZHGd2XRokX4+PhonAZftWoVDg4OXLx4ETc3tyIx5Obmapzyzs7O/tvrEUIIIYQQQgghXhY5ISyEeGHc3d1JSEjg+PHjvPfee/Tv35+kpCQAhg0bhlqtVl5P8vb2Vn62sbEBwMvLS+NaZmYmUHgiNjU1lUGDBmmM9/HHH2uUSihJzZo10dbWVt7b2dkpYycnJ6Ojo0ODBg2U+1ZWVri7u5OcnKxcmzt3Lo8ePeKrr75i/fr1SgIUCss8aGtrs3XrVgBiYmJo2bLlM0++Dh48mL179/Lrr78q/YKDg1GpVEqbqlWraiSDAS5dukRQUBDOzs6Ympoq86Snp2u0e549LsmTY4Dm3iUmJpKTk4OVlZXG53LlypUSP5fg4GASEhJwd3dn5MiR7N27t9T5/468vDymT5+Ol5cXlpaWqNVq9uzZU2R/npaYmMjBgwc11lK9enWAEtczc+ZMzMzMlJeDg8MLX48QQgghhBBCCPFPyQlhIcQLo6enh4uLCwB16tTh5MmTREVFsXTpUiIiIjROaj5JV1dX+flxAvTpa49LIOTk5ACwfPlyjcQtoJHoLcmT4z49dlmlpqby22+/kZ+fT1pamkZiVU9Pj379+hEdHU2XLl348ssviYqKeuaYPj4+1KpVizVr1tCmTRt+/PFHdu7UfPiSsbFxkX6BgYFUrVqV5cuXY29vT35+Pp6enjx48ECj3fPscUlK27ucnBzs7OyKre/75EnoJ/n6+nLlyhW+++479u/fT48ePWjdujVff/01WlqFf19ZUFCgtH+y1nNZzZkzh6ioKBYsWICXlxfGxsaMGjWqyP48LScnh8DAQGbPnl3knp2dXbF9Jk6cyJgxY5T32dnZkhQWQgghhBBCCPHakYSwEOKlyc/PV/4JfcWKFZV/0v9P2NjYYG9vz88//0zv3r2LbaOnpwcUng59Hh4eHjx69Ijjx48rJSNu3LhBSkqKUvriwYMH9OnTh549e+Lu7k5ISAjnz5/XWFtISAienp4sXryYR48eKaUtnhVbSEgICxYs4Ndff6V169bPTCY+jm358uU0bdoUgCNHjjzXml8UX19ffv/9d3R0dJ6rDrCpqSk9e/akZ8+edOvWjbZt23Lz5k3lJHRGRgY+Pj4AGg+YK6v4+Hg6duxInz59gMLv5MWLFzVKmejp6RX5PHx9fdm8eTOOjo7o6JTtf5X6+voap8WFEEIIIYQQQojXkSSEhRAvxMSJE2nXrh1VqlThr7/+4ssvvyQuLo49e/a88LnCw8MZOXIkZmZmtG3bltzcXE6dOsWtW7cYM2YMFStWxNDQkN27d1O5cmUMDAwwMzN75riurq507NiRwYMHs3TpUkxMTJgwYQKVKlWiY8eOAEyaNImsrCwWLlyIWq1m165dDBw4kB07dijjeHh40LBhQ8aPH8/AgQMxNDRU7lWtWhWVSsWOHTsICAjA0NBQKaHx7rvvEhoayvLly1mzZs0z47WwsMDKyoply5ZhZ2dHeno6EyZMeN7tfCFat26Nn58fnTp14tNPP8XNzY3ffvuNnTt30rlzZ+rWrVukz7x587Czs8PHxwctLS2++uorbG1tMTc3R0tLi4YNGzJr1iycnJzIzMxk8uTJzx2Xq6srX3/9NUePHsXCwoJ58+Zx/fp1jYSwo6Mjx48fJy0tDbVajaWlJcOHD2f58uUEBQUxbtw4LC0tuXz5MrGxsaxYsaJMp9GFEEWlzWpf3iEIIYQQQgjxnyc1hIUQL0RmZib9+vXD3d2dVq1acfLkSfbs2cPbb7/9wucKCQlhxYoVREdH4+XlRfPmzYmJicHJyQkAHR0dFi5cyNKlS7G3t1eSuWURHR1NnTp16NChA35+fhQUFLBr1y50dXWJi4tjwYIFrF27FlNTU7S0tFi7di2HDx9myZIlGuMMGjSIBw8eMHDgQI3rlSpVIjw8nAkTJmBjY8OIESOUe2ZmZnTt2hW1Wk2nTp2eGauWlhaxsbGcPn0aT09PRo8ezZw5c8q81hdJpVKxa9cumjVrxoABA3Bzc6NXr15cvXpVqVn8NBMTEz799FPq1q1LvXr1SEtLY9euXUq5iFWrVvHo0SPq1KnDqFGj+Pjjj587rsmTJ+Pr64u/vz8tWrTA1ta2yN6Ghoaira1NjRo1sLa2Jj09HXt7e+Lj48nLy6NNmzZ4eXkxatQoJVkthBBCCCGEEEK8qVQFTxZoFEII8UJMnz6dr776inPnzj1Xv1atWlGzZk0WLlz4kiITr0p2djZmZmZkZWVhampa3uEIIYQQQgghhPiXK+vvoVIyQgghXqCcnBzS0tJYtGjRc51ovXXrFnFxccTFxbF48eKXGKEQQgghhBBCCCH+yyQhLIQQL9CIESPYsGEDnTp1KlIuojQ+Pj7cunWL2bNn4+7u/hIjFEIIIYQQQgghxH+ZFEIUQogXKCYmhtzcXDZu3PhcDx5LS0sjKyuL0NDQlxjdy+Xo6MiCBQte2ngqlYpt27a9sPGFEEIIIYQQQoj/IjkhLIQQ4oU4efIkxsbGL238jIwMLCwsXuiYLVq0oHbt2i80kS2EEEIIIYQQQrzOJCEshBDihbC2tn6p49va2r7U8YUQ4r/AccLO8g5BvCbSZrUv7xCEEEIIUU6kZIQQQogyadGiBSNGjGDEiBGYmZlRoUIFpkyZQkFBAVC0xMPt27cZOnQoNjY2GBgY4OnpyY4dO5T7mzdvpmbNmujr6+Po6EhkZGSp8z9ZMiItLQ2VSsWWLVto2bIlRkZG1KpVi2PHjintb9y4QVBQEJUqVcLIyAgvLy82bNig3A8ODubQoUNERUWhUqlQqVSkpaUBcOHCBdq1a4darcbGxoa+ffvy559//sMdFEIIIYQQQgghyp8khIUQQpTZ6tWr0dHR4cSJE0RFRTFv3jxWrFhRpF1+fj7t2rUjPj6edevWkZSUxKxZs5S6yqdPn6ZHjx706tWL8+fPExYWxpQpU4iJiXmueCZNmkRoaCgJCQm4ubkRFBTEo0ePALh//z516tRh586dXLhwgSFDhtC3b19OnDgBQFRUFH5+fgwePJiMjAwyMjJwcHDg9u3bvPXWW/j4+HDq1Cl2797N9evX6dGjxz/bPCGEEEIIIYQQ4jUgJSOEEEKUmYODA/Pnz0elUuHu7s758+eZP38+gwcP1mi3f/9+Tpw4QXJyMm5ubgA4Ozsr9+fNm0erVq2YMmUKAG5ubiQlJTFnzhyCg4PLHE9oaCjt2xf+k9fw8HBq1qzJ5cuXqV69OpUqVdJ4SN8HH3zAnj172LRpE/Xr18fMzAw9PT2MjIw0ylEsWrQIHx8fZsyYoVxbtWoVDg4OXLx4UVnP03Jzc8nNzVXeZ2dnl3kdQgghhBBCCCHEqyInhIUQQpRZw4YNUalUyns/Pz8uXbpEXl6eRruEhAQqV65cYvI0OTmZxo0ba1xr3LhxsWOVxtvbW/nZzs4OgMzMTADy8vKYPn06Xl5eWFpaolar2bNnD+np6aWOmZiYyMGDB1Gr1cqrevXqAKSmppbYb+bMmZiZmSkvBweHMq9DCCGEEEIIIYR4VeSEsBBCiBfO0NDwlcyjq6ur/Pw4UZ2fnw/AnDlziIqKYsGCBXh5eWFsbMyoUaN48OBBqWPm5OQQGBjI7Nmzi9x7nHQuzsSJExkzZozyPjs7W5LCQgghhBBCCCFeO5IQFkIIUWbHjx/XeP/DDz/g6uqq1AZ+zNvbm19++aXEEgseHh7Ex8drXIuPj8fNza3IWH9XfHw8HTt2pE+fPkBhovjixYvUqFFDaaOnp1fkRLKvry+bN2/G0dERHZ2y/29SX18ffX39FxK7EEIIIYQQQgjxskhCWAghRJmlp6czZswYhg4dypkzZ/jss8+IjIws0q558+Y0a9aMrl27Mm/ePFxcXPjpp59QqVS0bduWjz76iHr16jF9+nR69uzJsWPHWLRoEYsXL35hsbq6uvL1119z9OhRLCwsmDdvHtevX9dICDs6OnL8+HHS0tJQq9VYWloyfPhwli9fTlBQEOPGjcPS0pLLly8TGxvLihUrXljCWgghykParPblHYIQQgghhChnUkNYCCFEmfXr14979+5Rv359hg8fzocffsiQIUOKbbt582bq1atHUFAQNWrUYNy4ccppXF9fXzZt2kRsbCyenp5MnTqViIiI53qg3LNMnjwZX19f/P39adGiBba2tnTq1EmjTWhoKNra2tSoUQNra2vS09Oxt7cnPj6evLw82rRpg5eXF6NGjcLc3BwtLfnfphBCCCGEEEKIN5uqoKCgoLyDEEII8fpr0aIFtWvXZsGCBeUdyhshOzsbMzMzsrKyMDU1Le9whBBCCCGEEEL8y5X191A56iSEEEIIIYQQQgghhBD/EZIQFkIIIYQQQgghhBBCiP8ISQgLIcS/hKOj40st5xAXF1em8YODg4vU6hVCCCGEEEIIIcTrQRLCQggh3ngqlYpt27Y9d7+XnUQXQgghhBBCCCFeNzrlHYAQQgghhBDi1XCcsPMfj5E2q/0LiEQIIYQQQpQXOSEshBBviBYtWjBixAhGjBiBmZkZFSpUYMqUKRQUFCht7t69y8CBAzExMaFKlSosW7ZMY4xr167Ro0cPzM3NsbS0pGPHjqSlpSn3H5d7mDt3LnZ2dlhZWTF8+HAePnwIQEREBJ6enkViq127NlOmTCk27t27d9OkSRPMzc2xsrKiQ4cOpKamarT55ZdfCAoKwtLSEmNjY+rWrcvx48eV+9988w2+vr4YGBjg7OxMeHg4jx49AgpP+QJ07twZlUqlvE9NTaVjx47Y2NigVqupV68e+/fv19jPq1evMnr0aFQqFSqVSrl35MgRmjZtiqGhIQ4ODowcOZI7d+6U9NEIIYQQQgghhBBvDEkICyHEG2T16tXo6Ohw4sQJoqKimDdvHitWrFDuR0ZGUrduXc6ePcv777/Pe++9R0pKCgAPHz7E398fExMTDh8+THx8PGq1mrZt2/LgwQNljIMHD5KamsrBgwdZvXo1MTExxMTEADBw4ECSk5M5efKk0v7s2bOcO3eOAQMGFBvznTt3GDNmDKdOneLAgQNoaWnRuXNn8vPzAcjJyaF58+b8+uuvbN++ncTERMaNG6fcP3z4MP369ePDDz8kKSmJpUuXEhMTwyeffAKgxBIdHU1GRobyPicnh4CAAA4cOMDZs2dp27YtgYGBpKenA7BlyxYqV65MREQEGRkZZGRkAIWJ5LZt29K1a1fOnTvHxo0bOXLkCCNGjCj1s8nNzSU7O1vjJYQQQgghhBBCvG5UBU8eLRNCCPHaatGiBZmZmfz444/KadYJEyawfft2kpKScHR0pGnTpqxduxaAgoICbG1tCQ8PZ9iwYaxbt46PP/6Y5ORkpf+DBw8wNzdn27ZttGnThuDgYOLi4khNTUVbWxuAHj16oKWlRWxsLAABAQE4OjqyePFiAEaOHMn58+c5ePAgUHjK+Pbt2yXW9P3zzz+xtrbm/PnzeHp6smzZMkJDQ0lLS8PS0rJI+9atW9OqVSsmTpyoXFu3bh3jxo3jt99+AwprCG/duvWZD7Pz9PRk2LBhSnLX0dGRUaNGMWrUKKVNSEgI2traLF26VLl25MgRmjdvzp07dzAwMCh27LCwMMLDw4tcz8rKwtTUtNS4hBDiVZGSEUIIIYQQ/17Z2dmYmZk98/dQOSEshBBvkIYNG2qUNvDz8+PSpUvk5eUB4O3trdxTqVTY2tqSmZkJQGJiIpcvX8bExAS1Wo1arcbS0pL79+9rlHCoWbOmkgwGsLOzU8YAGDx4MBs2bOD+/fs8ePCAL7/8koEDB5YY86VLlwgKCsLZ2RlTU1OlpMPjk7oJCQn4+PgUmwx+HHdERIQSs1qtZvDgwWRkZHD37t0S583JySE0NBQPDw/Mzc1Rq9UkJycr85YkMTGRmJgYjfn8/f3Jz8/nypUrJfabOHEiWVlZyuvatWulziOEEEIIIYQQQpQHeaicEEL8i+jq6mq8V6lUGqUZ6tSpw/r164v0s7a2LtMYAIGBgejr67N161b09PR4+PAh3bp1KzGmwMBAqlatyvLly7G3tyc/Px9PT0+lTIWhoWGpa8rJySE8PJwuXboUuVfSaV2A0NBQ9u3bx9y5c3FxccHQ0JBu3bpplMcoab6hQ4cycuTIIveqVKlSYj99fX309fVLHVsIIYQQQgghhChvkhAWQog3yJMPWgP44YcfcHV11TjRWxJfX182btxIxYoV/1EJAx0dHfr37090dDR6enr06tWrxKTujRs3SElJYfny5TRt2hQoLL/wJG9vb1asWMHNmzeLPSXs6+tLSkoKLi4uJcakq6urnJJ+LD4+nuDgYDp37gwUJnqffIAegJ6eXpF+vr6+JCUllTqfEEIIIYQQQgjxppKEsBBCvEHS09MZM2YMQ4cO5cyZM3z22WdERkaWqW/v3r2ZM2cOHTt2JCIigsqVK3P16lW2bNnCuHHjqFy5cpnjCAkJwcPDAyhMvJbEwsICKysrli1bhp2dHenp6UyYMEGjTVBQEDNmzKBTp07MnDkTOzs7zp49i729PX5+fkydOpUOHTpQpUoVunXrhpaWFomJiVy4cIGPP/4YKKwFfODAARo3boy+vj4WFha4urqyZcsWAgMDUalUTJkyReOk8+N+33//Pb169UJfX58KFSowfvx4GjZsyIgRIwgJCcHY2JikpCT27dvHokWLyrxHQgjxOpL6v0IIIYQQQmoICyHEG6Rfv37cu3eP+vXrM3z4cD788EOGDBlSpr5GRkZ8//33VKlShS5duuDh4cGgQYO4f//+c58YdnV1pVGjRlSvXp0GDRqU2O7xw+hOnz6Np6cno0ePZs6cORpt9PT02Lt3LxUrViQgIAAvLy9mzZqlnHr29/dnx44d7N27l3r16tGwYUPmz59P1apVlTEiIyPZt28fDg4O+Pj4ADBv3jwsLCxo1KgRgYGB+Pv74+vrqzF3REQEaWlpVKtWTSmb4e3tzaFDh7h48SJNmzbFx8eHqVOnYm9v/1x7JIQQQgghhBBCvI5UBQUFBeUdhBBCiGdr0aIFtWvXZsGCBeUdCgUFBbi6uvL+++8zZsyY8g7ntVTWp7sKIYQQQgghhBAvQll/D5WSEUIIIZ7LH3/8QWxsLL///jsDBgwo73CEEEIIIYQQQgjxHCQhLIQQ4rlUrFiRChUqsGzZMiwsLMo7HCGEEEIIIYQQQjwHqSEshCgTlUrFtm3byjuMVyosLIzatWv/43EcHR1fSJmHuLi416ZcxB9//MG77777t/o/ePAAFxcXjh49+oIje3kaNmzI5s2byzsMIYQQQgghhBDiH5OEsBAvWHBwMCqVilmzZmlc37ZtGyqVqpyi+j8tWrRg1KhR5R3GKxUXF4dKpeL27dvlHUqZvI7xvsi/EPjiiy9wcnKiUaNGGuMbGBhw9epVjbadOnUiODi4yBjHjh1DW1ub9u3blzrXhg0b0NbWZvjw4cXez87OZsqUKdSsWRNDQ0OsrKyoV68en376Kbdu3VLaTZ48mQkTJpCfn/8cKxVCCCGEEEIIIV4/UjJCiJfAwMCA2bNnM3ToUPkn9eXs4cOH5R2CeEJBQQGLFi0iIiKiyD2VSsXUqVNZvXr1M8dZuXIlH3zwAStXruS3337D3t6+xHbjxo1j6dKlREZGYmBgoNy7efMmTZo0ITs7m+nTp1OnTh3MzMxISUkhOjqaL7/8Ukkkt2vXjpCQEL777rtnJqGFEOJ15jhhZ3mH8NpImyX/PRdCCCHEf5OcEBbiJWjdujW2trbMnDnzufqlpqbSsWNHbGxsUKvV1KtXj/3792u0yc3NZfz48Tg4OKCvr4+LiwsrV65U7l+4cIF27dqhVquxsbGhb9++/Pnnn0Dh6eVDhw4RFRWFSqVCpVJx5coVXFxcmDt3rsY8CQkJqFQqLl++XKbY8/LyGDRoEE5OThgaGuLu7k5UVJRGm7i4OOrXr4+xsTHm5uY0btxYORH6uDzD0qVLcXBwwMjIiB49epCVlaX0P3nyJG+//TYVKlTAzMyM5s2bc+bMGY05VCoVS5Ys4Z133sHY2JjBgwfTsmVLACwsLFCpVAQHB7NmzRqsrKzIzc3V6N+pUyf69u1bpjUD/PXXX/Tu3RtjY2Ps7OyYP39+qaew09LSUKlUJCQkKNdu376NSqUiLi6OtLS0YuMF2L17N02aNMHc3BwrKys6dOhAampqkbE3bdpE06ZNMTQ0pF69ely8eJGTJ09St25d1Go17dq1448//ijzvjo6OgLQuXNnVCqV8h7gm2++wdfXFwMDA5ydnQkPD+fRo0cl7tfp06dJTU0tNqk6YsQI1q1bx4ULF0rsD5CTk8PGjRt57733aN++PTExMcW2u3LlCkePHmXChAm4ubmxZcsWjfv/+9//SE9P58SJEwwYMABvb2+qVq1KmzZt2LBhA++//77SVltbm4CAAGJjY0uNTQghhBBCCCGEeN1JQliIl0BbW5sZM2bw2Wef8csvv5S5X05ODgEBARw4cICzZ8/Stm1bAgMDSU9PV9r069ePDRs2sHDhQpKTk1m6dClqtRooTCy+9dZb+Pj4cOrUKXbv3s3169fp0aMHAFFRUfj5+TF48GAyMjLIyMigSpUqDBw4kOjoaI1YoqOjadasGS4uLmWKPT8/n8qVK/PVV1+RlJTE1KlT+d///semTZsAePToEZ06daJ58+acO3eOY8eOMWTIEI0yGpcvX2bTpk18++237N69m7Nnz2ok5f766y/69+/PkSNH+OGHH3B1dSUgIIC//vpLI5awsDA6d+7M+fPnCQ8PV2q/pqSkkJGRQVRUFN27dycvL4/t27cr/TIzM9m5cycDBw4s05oBxowZQ3x8PNu3b2ffvn0cPny4SJL6eTg4OBQbL8CdO3cYM2YMp06d4sCBA2hpadG5c+ciZQymTZvG5MmTOXPmDDo6Orz77ruMGzeOqKgoDh8+zOXLl5k6darS/ln7evLkSaDwO5GRkaG8P3z4MP369ePDDz8kKSmJpUuXEhMTwyeffFLi+g4fPoybmxsmJiZF7jVu3JgOHTowYcKEUvdo06ZNVK9eHXd3d/r06cOqVasoKCgo0i46Opr27dtjZmZGnz59NP7iJD8/n40bN9KnT58STxc/XeKlfv36HD58uMS4cnNzyc7O1ngJIYQQQgghhBCvGykZIcRL0rlzZ2rXrs20adM0ElGlqVWrFrVq1VLeT58+na1bt7J9+3ZGjBjBxYsX2bRpE/v27aN169YAODs7K+0XLVqEj48PM2bMUK6tWrUKBwcHLl68iJubG3p6ehgZGWFra6u0CQ4OZurUqZw4cYL69evz8OFDvvzyyyKnhkujq6tLeHi48t7JyYljx46xadMmevToQXZ2NllZWXTo0IFq1aoB4OHhoTHG/fv3WbNmDZUqVQLgs88+o3379kRGRmJra8tbb72l0X7ZsmWYm5tz6NAhOnTooFx/9913GTBggPL+ypUrAFSsWBFzc3ONdtHR0XTv3h2AdevWUaVKFVq0aFGmNf/111+sXr2aL7/8klatWgGFSciSEoxloa2tjaWlZbHxdu3aVaPtqlWrsLa2JikpCU9PT+V6aGgo/v7+AHz44YcEBQVx4MABGjduDMCgQYM0TtU+a1+tra0BMDc31/jehIeHM2HCBPr37w8UfhenT5/OuHHjmDZtWrHru3r1aqn7M3PmTLy9vTl8+DBNmzYtts3KlSvp06cPAG3btiUrK4tDhw5pfG75+fnExMTw2WefAdCrVy8++ugjrly5gpOTE3/88Qe3b9/G3d1dY+w6deqQkpICQGBgIBs2bFDu2dvbc+3aNfLz89HSKvr3qTNnztT4MyCEEEIIIYQQQryO5ISwEC/R7NmzWb16NcnJyUXuqdVq5TVs2DCg8IRwaGgoHh4emJubo1arSU5OVk4IJyQkoK2tTfPmzYudLzExkYMHD2qMXb16dQCN0gJPs7e3p3379qxatQqAb7/9ltzcXCVR+rTHJSnUajU1a9ZUrn/++efUqVMHa2tr1Go1y5YtU2K3tLQkODgYf39/AgMDiYqKIiMjQ2PcKlWqKMlgAD8/P/Lz85UE3fXr1xk8eDCurq6YmZlhampKTk6OxglqgLp165a41icNHjyYvXv38uuvvwIQExOjPBTwaYcPH9bY1/Xr1/Pzzz/z8OFD6tevr7QzMzMrkmR8US5dukRQUBDOzs6YmpoqpRueXr+3t7fys42NDQBeXl4a1zIzM5X3Zd3XpyUmJhIREaGxL49Pn9+9e7fYPvfu3dOo4/u0GjVq0K9fvxJPCaekpHDixAmCgoIA0NHRoWfPnkX+0mXfvn3cuXOHgIAAACpUqMDbb7+tfMdLsnXrVhISEvD39+fevXsa9wwNDcnPzy9SZuSxiRMnkpWVpbyuXbtW6lxCCCGEEEIIIUR5kBPCQrxEzZo1w9/fn4kTJyp1YB97soasqakpUHiyc9++fcydOxcXFxcMDQ3p1q0bDx48AAoTUqXJyckhMDCQ2bNnF7lnZ2dXat+QkBD69u3L/PnziY6OpmfPnhgZGRXbdsWKFUqyTFdXF4DY2FhCQ0OJjIzEz88PExMT5syZw/Hjx5V+0dHRjBw5kt27d7Nx40YmT57Mvn37aNiwYamxPda/f39u3LhBVFQUVatWRV9fHz8/P2V/HjM2Ni7TeD4+PtSqVYs1a9bQpk0bfvzxR3buLP5hO3Xr1tX4zGxsbPj555/LNM+THp8sfbLEQVkffBcYGEjVqlVZvnw59vb25Ofn4+npWWT9jz8T+L+yB09fe7LMRFn39Wk5OTmEh4fTpUuXIvdKSvpWqFCB8+fPlzpueHg4bm5ubNu2rci9lStX8ujRI41TxgUFBejr67No0SLMzMyUdjdv3tT4M5Ofn8+5c+cIDw/H2toac3Nz5S8bHqtSpQoAJiYm3L59W+PezZs3MTY2LvHPob6+Pvr6+qWuTQghhBBCCCGEKG+SEBbiJZs1axa1a9cucmq0uNq88fHxBAcH07lzZ6Aw4ZaWlqbc9/LyIj8/n0OHDiklI57k6+vL5s2bcXR0REen+D/eenp65OXlFbkeEBCAsbExS5YsYffu3Xz//fclrunJU7xPxt6oUSONmr/FnUr28fHBx8eHiRMn4ufnx5dffqkkhNPT0/ntt9+UZN8PP/yAlpaWsnfx8fEsXrxYOfV57do15YF5pdHT0wModt0hISEsWLCAX3/9ldatW+Pg4FDsGIaGhkU+M2dnZ3R1dTl58qSSSMzKyuLixYs0a9as2HEel1/IyMjAx8cH0PzLgZLivXHjBikpKSxfvlwppXDkyJFS111WZdlXXV3dIvvn6+tLSkpKmetMQ+Hnv2TJEgoKCoo9iQ2FdZRHjBjB//73P6W8CBTWoV6zZg2RkZG0adNGo0+nTp3YsGEDw4YN48aNG3zzzTfExsZqnGDPy8ujSZMm7N27l7Zt29KjRw/WrVvH1KlTy1Tm48KFC8pnJoQQQgghhBBCvKkkISzES+bl5UXv3r1ZuHDhM9u6urqyZcsWAgMDUalUTJkyReMkp6OjI/3792fgwIEsXLiQWrVqcfXqVTIzM+nRowfDhw9n+fLlBAUFMW7cOCwtLbl8+TKxsbGsWLECbW1tHB0dOX78OGlpaajVaiwtLdHS0kJbW5vg4GAmTpyIq6srfn5+z7VOV1dX1qxZw549e3BycmLt2rWcPHkSJycnoLCO77Jly3jnnXewt7cnJSWFS5cu0a9fP2UMAwMD+vfvz9y5c8nOzmbkyJH06NFDqVvr6urK2rVrqVu3LtnZ2YwdO/aZp6YBqlatikqlYseOHQQEBGBoaKg8iO/dd98lNDSU5cuXs2bNmudas4mJCf3792fs2LFYWlpSsWJFpk2bhpaWVonJTkNDQxo2bMisWbNwcnIiMzOTyZMnPzNeCwsLrKysWLZsGXZ2dqSnpz/z4WtlVZZ9dXR0VOoQ6+vrY2FhwdSpU+nQoQNVqlShW7duaGlpkZiYyIULF/j444+Lnatly5bk5OTw448/atQ9ftrEiRNZvnw5V65coWfPngDs2LGDW7duMWjQIOUk8GNdu3Zl5cqVDBs2jLVr12JlZUWPHj2KfA4BAQGsXLmStm3bMmPGDOLi4qhfvz4RERHUrVsXY2Nj5aGHT8d3+PDhIoloIYR406TNal/eIQghhBBCiHImNYSFeAUiIiI0ErslmTdvHhYWFjRq1IjAwED8/f3x9fXVaLNkyRK6devG+++/T/Xq1Rk8eDB37twBCmsBx8fHk5eXR5s2bfDy8mLUqFGYm5srpQpCQ0PR1tamRo0aWFtba9SJHTRoEA8ePNB4IFtZDR06lC5dutCzZ08aNGjAjRs3NE4LGxkZ8dNPP9G1a1fc3NwYMmQIw4cPZ+jQoUobFxcXunTpQkBAAG3atMHb25vFixcr91euXMmtW7fw9fWlb9++jBw5kooVKz4ztkqVKikPQLOxsWHEiBHKPTMzM7p27YparaZTp07Pve558+bh5+dHhw4daN26NY0bN8bDw6PUOrmrVq3i0aNH1KlTh1GjRhVJnhYXr5aWFrGxsZw+fRpPT09Gjx7NnDlznjve4pRlXyMjI9m3bx8ODg7KKVl/f3927NjB3r17qVevHg0bNmT+/PlUrVq1xLmsrKzo3Lkz69evLzUmS0tLxo8fz/379zXibN26dZFkMBQmhE+dOsW5c+dYtWoVnTt3LjYp37VrV7Zv386ff/6JlZUVJ06coF+/fsyZM4f69evj5eVFWFgYPXv2ZPny5Uq/X3/9laNHj/6tPxtCCCGEEEIIIcTrRFXwZCFLIcR/2uHDh2nVqhXXrl1THkb2qoSFhbFt27Yi5RNehVatWlGzZs0yneJ+ljt37lCpUiUiIyMZNGjQC4ju3+fcuXO8/fbbpKamKie1X3fjx4/n1q1bLFu2rMx9srOzMTMzIysrS6kTLoQQQgghhBBCvCxl/T1USkYIIcjNzeWPP/4gLCyM7t27v/JkcHm5desWcXFxxMXFaZxEfh5nz57lp59+on79+mRlZREREQFAx44dX2So/yre3t7Mnj2bK1eu4OXlVd7hlEnFihUZM2ZMeYchhBBCCCGEEEL8Y5IQFkKwYcMGBg0aRO3atZ+7ju6bzMfHh1u3bjF79uwiD/17HnPnziUlJQU9PT3q1KnD4cOHqVChwguM9N8nODi4vEN4Lh999FF5hyCEEEIIIYQQQrwQUkNYCEFwcDB5eXmcPn2aSpUqlUsMYWFhr7xcRFpaGllZWYSGhha5p1Kp2LZt2zPH8PHx4fTp0+Tk5HDz5k327dv3Wp16Les6yjpGWloaKpWq1M8qJiYGc3PzfzSno6MjCxYseKFxCSGEEEIIIYQQQhLCQogXIDg4GJVKxaxZszSub9u2rdgHe71KLVq0YNSoUS9l7JEjR1KnTh309fWpXbv2S5mjrMLCwso9hsd69uzJxYsXy9S2pOTxyZMnGTJkSJnndHBwICMjA09PzzL3Kau0tLQ37kSzEEIIIYQQQghREikZIYR4IQwMDJg9ezZDhw7FwsKivMN5ZQYOHMjx48c5d+5ceYfy2jA0NMTQ0PAfjWFtbf1c7bW1tbG1tf1Hcz5t/fr1NGzYEG1tbQAKCgpYvHgx77777n/qOy6EeLkcJ+x8pfOlzWr/SucTQgghhBCvHzkhLIR4IVq3bo2trS0zZ84sc5/U1FQ6duyIjY0NarWaevXqsX//fo02ubm5jB8/HgcHB/T19XFxcWHlypXK/QsXLtCuXTvUajU2Njb07duXP//8Eyg8uXzo0CGioqJQqVSoVCquXLmCi4sLc+fO1ZgnISEBlUrF5cuXyxz/woULGT58OM7OzmXu8/gk76pVq6hSpQpqtZr333+fvLw8Pv30U2xtbalYsSKffPKJRr/bt28TEhKCtbU1pqamvPXWWyQmJgKFp2zDw8NJTExU1hkTE6P0/fPPP+ncuTNGRka4urqyfft2oDDB+Xf34ueff6Zly5YYGRlRq1Ytjh07ptx7+tRvYmIiLVu2xMTEBFNTU+rUqcOpU6eIi4tjwIABZGVlKXGHhYUBRUtGXLp0iWbNmmFgYECNGjXYt2+fRjxPl4yIi4tDpVJx4MAB6tati5GREY0aNSIlJUWj3zfffIOvry8GBgY4OzsTHh7Oo0ePAHBycqJ///588cUX/PLLL7Rt25Zff/0VfX39EvdFCCGEEEIIIYR43UlCWAjxQmhrazNjxgw+++wzfvnllzL1ycnJISAggAMHDnD27Fnatm1LYGAg6enpSpt+/fqxYcMGFi5cSHJyMkuXLkWtVgOFSdK33noLHx8fTp06xe7du7l+/To9evQAICoqCj8/PwYPHkxGRgYZGRlUqVKFgQMHEh0drRFLdHQ0zZo1w8XF5QXtSMlSU1P57rvv2L17Nxs2bGDlypW0b9+eX375hUOHDjF79mwmT57M8ePHlT7du3cnMzOT7777jtOnT+Pr60urVq24efMmPXv25KOPPqJmzZrKOnv27Kn0DQ8Pp0ePHpw7d46AgAB69+7NzZs3UalUf3svJk2aRGhoKAkJCbi5uREUFKQkUp/Wu3dvKleuzMmTJzl9+jQTJkxAV1eXRo0asWDBAkxNTZW4i6vnnJ+fT5cuXdDT0+P48eN88cUXjB8/vkx7PWnSJCIjIzl16hQ6OjoMHDhQuXf48GH69evHhx9+SFJSEkuXLiUmJkZJxjdq1IiDBw9y7Ngx4uLiGDVqFDNmzMDIyKjYuXJzc8nOztZ4CSGEEEIIIYQQrxtJCAshXpjOnTtTu3Ztpk2bVqb2tWrVYujQoXh6euLq6sr06dOpVq2acoL14sWLbNq0iVWrVtG5c2ecnZ1p1aqVkuxctGgRPj4+zJgxg+rVq+Pj48OqVas4ePAgFy9exMzMDD09PYyMjLC1tcXW1hZtbW2Cg4NJSUnhxIkTADx8+JAvv/xSI1n4MuXn57Nq1Spq1KhBYGAgLVu2JCUlhQULFuDu7s6AAQNwd3fn4MGDABw5coQTJ07w1VdfUbduXVxdXZk7dy7m5uZ8/fXXGBoaolar0dHRUdb5ZMmG4OBggoKCcHFxYcaMGeTk5Chr/7t7ERoaSvv27XFzcyM8PJyrV6+WeKI4PT2d1q1bU716dVxdXenevTu1atVCT08PMzMzVCqVEvfjZP+T9u/fz08//cSaNWuoVasWzZo1Y8aMGWXa608++YTmzZtTo0YNJkyYwNGjR7l//z5QmCifMGEC/fv3x9nZmbfffpvp06ezdOlSAI4fP06rVq3w8/OjRYsWLFiwgKlTpyr9nzZz5kzMzMyUl4ODQ5liFEIIIYQQQgghXiVJCAshXqjZs2ezevVqkpOTNa6r1WrlNWzYMKDwhHBoaCgeHh6Ym5ujVqtJTk5WTggnJCSgra1N8+bNi50rMTGRgwcPaoxdvXp1oPAUbkns7e1p3749q1atAuDbb78lNzeX7t27F9v+cUkKtVpNzZo1y7wXxa0ZCsshmJiYKO9tbGyoUaMGWlpaGtcyMzOVdebk5GBlZaUx5pUrV0pd52Pe3t7Kz8bGxpiamipjP+9eFDemnZ0dgDLm08aMGUNISAitW7dm1qxZZYr5ScnJyTg4OGBvb69c8/PzK1Pf0uJMTEwkIiJCY08fnya/e/culy5dIjo6mmHDhlG5cmV2796NjY0Nd+/eLXauiRMnkpWVpbyuXbv2XOsUQgghhBBCCCFeBXmonBDihWrWrBn+/v5MnDiR4OBg5frj2q4ApqamQOEp03379jF37lxcXFwwNDSkW7duPHjwAOCZDybLyckhMDCQ2bNnF7n3OPlXkpCQEPr27cv8+fOJjo6mZ8+eJZYCWLFiBffu3QNAV1e31HGfVNyaixtDpVIVey0/Px8oXKednR1xcXFF5niyVm9JShsbnm8vihtTpVIBaIz5pLCwMN5991127tzJd999x7Rp04iNjaVz587PjP2fKi3OnJwcwsPD6dKlS5F+BgYG9OnTByisT/y4//Dhw0ucS19fX+oLCyGEEEIIIYR47UlCWAjxws2aNYvatWvj7u6uXCuuHm18fDzBwcFKYjAnJ0dJvgF4eXmRn5/PoUOHaN26dZH+vr6+bN68GUdHR3R0iv/PmZ6eHnl5eUWuBwQEYGxszJIlS9i9ezfff/99ieupVKlSifdK86LqEfv6+vL777+jo6ODo6NjsW1KWmdZPM9e/F1ubm64ubkxevRogoKCiI6OpnPnzmWK28PDg2vXrpGRkaEk+n/44Yd/HJOvry8pKSnP/JwcHR01HtInhBBCCCGEEEK8ySQhLIR44by8vOjduzcLFy4stZ2rqytbtmwhMDAQlUrFlClTNE6ZOjo60r9/fwYOHMjChQupVasWV69eJTMzkx49ejB8+HCWL19OUFAQ48aNw9LSksuX/z979x7X4/0/fvzxFh3fHeRQDh1QkVaUGNqcKZHTyGmI2Bya2eTQx1COMecZM4dq5rghhjGz5dCwHMqpZZpk05yVmEpdvz/8ur7eKjImh+f9drtut97X9To8X6+3j8+tp9ee11nWrl3LsmXL0NPTw97enkOHDpGSkoJWq8XS0pJSpUqptYRDQkJwdHQsdgmCB509e5bMzEz+/vtv/vnnH/VEcO3atdHX13/i8YrSqlUrGjVqRKdOnZg5cyZOTk5cvHiRbdu20blzZzw9PbG3t+fcuXPEx8dTtWpVTE1Ni31a9VnsRVH++ecfRo0aRdeuXalWrRp//vkncXFxvPPOO8D97zgzM5Pdu3dTp04djI2NC5xObtWqFU5OTvTr149PP/2UjIwMxo0b99SxTZgwgfbt22Nra0vXrl0pVaoUCQkJnDx5kilTpjz1+EIIURwp4e1KOgQhhBBCCPGakRrCQoj/xKRJk4osIZBvzpw5lC1blsaNG+Pn54e3tzceHh46bRYvXkzXrl0ZOnQotWrVYtCgQdy+fRu4X/82NjaW3Nxc2rRpg6urKyNGjMDCwkKtxxscHIyenh61a9emQoUKan1igMDAQLKzs+nfv/+/WuPAgQNxd3dnyZIlnDlzBnd3d9zd3bl48eK/Gq8oGo2G7du306RJE/r374+TkxM9evTg/PnzWFlZAfDOO+/g4+ND8+bNqVChAmvWrHmiOZ52L4qip6fHtWvX6Nu3L05OTvj7+9O2bVvCwsIAaNy4MYMHD6Z79+5UqFCBmTNnFhijVKlSbNq0iX/++YcGDRowcOBApk6d+tSxeXt7s3XrVn744Qfq169Pw4YNmTt3LnZ2dk89thBCCCGEEEII8aLSKIqilHQQQghREvbt20fLli25cOGCmlh9XclePHsZGRmYm5uTnp6uU0NaCCGEEEIIIYT4LxT391ApGSGEeO1kZWVx5coVQkND6dat22udAJW9EEIIIYQQQgghXi9SMkII8dpZs2YNdnZ23Lx5s9ASBa8T2QshhBBCCCGEEOL1IglhIcRrJyAggNzcXI4cOUKVKlVKOpwS9Tz3IiUlBY1Go758rzCRkZFYWFg803ljYmLQaDTcvHnzmY4rhBBCCCGEEEK8jCQhLIQQokjNmjVjxIgRT9wvICCATp06PXG/7t27c+bMmSfu9yiNGzcmLS0Nc3PzZzquEEIIIYQQQgjxMpIawkIIIV4YRkZGGBkZPdMx9fX1sba2fqZjCiHEy8p+7LaSDuGFlhLerqRDEEIIIYT4z8kJYSGEeAXk5eUxc+ZMHBwcMDAwwNbWlqlTp9KiRQuCgoJ02l65cgV9fX12794NwKJFi3B0dMTQ0BArKyu6du0K3D/lu2fPHubPn49Go0Gj0ZCSkkJubi6BgYFUq1YNIyMjatasyfz589XxQ0NDiYqKYvPmzWq/mJgY9fkff/xB8+bNMTY2pk6dOhw4cEB9VljJiMWLF1OjRg309fWpWbMmK1eu1Hmu0WhYtmwZnTt3xtjYGEdHR7Zs2aI+f7hkRP4cO3fuxNnZGa1Wi4+PD2lpaTrjLlu2DGdnZwwNDalVqxaLFi16si9FCCGEEEIIIYR4AUlCWAghXgEhISGEh4czfvx4Tp8+zerVq7GysmLgwIGsXr2arKwste3XX39NlSpVaNGiBYcPH2b48OFMmjSJpKQkduzYQZMmTQCYP38+jRo1YtCgQaSlpZGWloaNjQ15eXlUrVqVb775htOnTzNhwgT+97//sX79egCCg4Px9/dXk6xpaWk0btxYnX/cuHEEBwcTHx+Pk5MTPXv25N69e4Wua9OmTXz44YeMHDmSkydP8v7779O/f39+/vlnnXZhYWH4+/tz/PhxfH196d27N9evXy9yv+7cucOsWbNYuXIle/fuJTU1leDgYPX5qlWrmDBhAlOnTiUxMZFp06Yxfvx4oqKiihwzKyuLjIwMnUsIIYQQQgghhHjRSMkIIYR4yd26dYv58+ezcOFC+vXrB0CNGjV46623uHv3LkFBQWzevBl/f3/g/gnZgIAANBoNqampmJiY0L59e0xNTbGzs8Pd3R0Ac3Nz9PX1MTY21im5oKenR1hYmPq5WrVqHDhwgPXr1+Pv749Wq8XIyIisrKxCSzUEBwfTrt39/yQ3LCwMFxcXzp49S61atQq0nTVrFgEBAQwdOhSAjz/+mIMHDzJr1iyaN2+utgsICKBnz54ATJs2jQULFvDrr7/i4+NT6J7l5OTwxRdfUKNGDQCCgoKYNGmS+nzixInMnj2bLl26qGs8ffo0S5YsUff4YdOnT9fZFyGEEEIIIYQQ4kUkJ4SFEOIll5iYSFZWFi1btizwzNDQkD59+rBixQoAjh49ysmTJwkICACgdevW2NnZUb16dfr06cOqVau4c+fOY+f8/PPPqVevHhUqVECr1fLll1+SmpparHjd3NzUnytVqgTA5cuXi1ybl5eXzj0vLy8SExOLHNPExAQzM7MixwQwNjZWk8H5ceS3v337NsnJyQQGBqLVatVrypQpJCcnFzlmSEgI6enp6nXhwoUi2wohhBBCCCGEECVFTggLIcRL7nEvYRs4cCB169blzz//JCIighYtWmBnZweAqakpR48eJSYmhh9++IEJEyYQGhpKXFxcgVq++dauXUtwcDCzZ8+mUaNGmJqa8umnn3Lo0KFixVumTBn1Z41GA9yvgfw0Hhwzf9xHjVlYe0VRAMjMzARg6dKlvPnmmzrt9PT0ihzTwMAAAwODJ4pbCCGEEEIIIYR43uSEsBBCvOQcHR0xMjJSXxL3MFdXVzw9PVm6dCmrV69mwIABOs9Lly5Nq1atmDlzJsePHyclJYWffvoJAH19fXJzc3Xax8bG0rhxY4YOHYq7uzsODg4FTs4W1u/fcHZ2JjY2tsD8tWvXfuqxi2JlZUXlypX5448/cHBw0LmqVav2n80rhBBCCCGEEEI8D3JCWAghXnKGhoaMGTOG0aNHo6+vj5eXF1euXOHUqVMEBgYC908JBwUFYWJiQufOndW+W7du5Y8//qBJkyaULVuW7du3k5eXR82aNQGwt7fn0KFDpKSkoNVqsbS0xNHRka+++oqdO3dSrVo1Vq5cSVxcnE6y1N7enp07d5KUlES5cuUwNzf/V2sbNWoU/v7+uLu706pVK7777js2btzIjz/++BQ79nhhYWEMHz4cc3NzfHx8yMrK4vDhw9y4cYOPP/74P51bCCH+Synh7Uo6BCGEEEIIUcLkhLAQQrwCxo8fz8iRI5kwYQLOzs50795dp4Zuz549KV26ND179sTQ0FC9b2FhwcaNG2nRogXOzs588cUXrFmzBhcXF+D+C+D09PSoXbs2FSpUIDU1lffff58uXbrQvXt33nzzTa5du6a+9C3foEGDqFmzJp6enlSoUKHAKd/i6tSpE/Pnz2fWrFm4uLiwZMkSIiIiaNas2b8ar7gGDhzIsmXLiIiIwNXVlaZNmxIZGSknhIUQQgghhBBCvPQ0Sn7RRCGEEK+slJQUatSoQVxcHB4eHiUdzmshIyMDc3Nz0tPTMTMzK+lwhBBCCCGEEEK84or7e6iUjBBCiFdYTk4O165d45NPPqFhw4aSDBZCCCGEEEIIIV5zUjJCCPFKadasGSNGjPjX/VNSUtBoNMTHxz+3Of9LsbGxVKpUibi4OL744ovHtre3t2fevHnFHv/f7Nfz9qRrEkIIIYQQQgghXmVyQlgI8UrZuHEjZcqUKekwSlxAQAA3b94kOjqaF60yUGhoKNHR0c8tiRwXF4eJiclzmUsIIYQQQgghhHjRSUJYCPFKsbS0LOkQxAumQoUKJR2CEK8l+7HbSjoEUYiU8HYlHYIQQgghhChhUjJCCPFKebB8g729PdOmTWPAgAGYmppia2vLl19+qdP+119/xd3dHUNDQzw9PTl27FiBMffs2UODBg0wMDCgUqVKjB07lnv37hUZQ1ZWFsHBwVSpUgUTExPefPNNYmJi1OfXrl2jZ8+eVKlSBWNjY1xdXVmzZo3OGHl5ecycORMHBwcMDAywtbVl6tSp6vMLFy7g7++PhYUFlpaWdOzYkZSUFOD+CdyoqCg2b96MRqNBo9EQExNDixYtCAoK0pnnypUr6Ovrs3v37kLX8ttvv/HWW29haGhI7dq1+fHHH9FoNERHRxfaPjIyEgsLC5170dHRaDQa9XlYWBgJCQlqbJGRkQDMmTMHV1dXTExMsLGxYejQoWRmZhYYe+vWrdSsWRNjY2O6du3KnTt3iIqKwt7enrJlyzJ8+HByc3PVfg+XjNBoNCxbtozOnTtjbGyMo6MjW7Zs0Yn55MmTtG3bFq1Wi5WVFX369OHq1auFrlkIIYQQQgghhHiZSEJYCPFKmz17tproHTp0KEOGDCEpKQmAzMxM2rdvT+3atTly5AihoaEEBwfr9P/rr7/w9fWlfv36JCQksHjxYpYvX86UKVOKnDMoKIgDBw6wdu1ajh8/Trdu3fDx8eH3338H4O7du9SrV49t27Zx8uRJ3nvvPfr06cOvv/6qjhESEkJ4eDjjx4/n9OnTrF69GisrK+D+i+K8vb0xNTVl3759xMbGotVq8fHxITs7m+DgYPz9/fHx8SEtLY20tDQaN27MwIEDWb16NVlZWeo8X3/9NVWqVKFFixYF1pGbm0unTp0wNjbm0KFDfPnll4wbN+7ffxlA9+7dGTlyJC4uLmps3bt3B6BUqVIsWLCAU6dOERUVxU8//cTo0aN1+t+5c4cFCxawdu1aduzYQUxMDJ07d2b79u1s376dlStXsmTJEr799ttHxhEWFoa/vz/Hjx/H19eX3r17c/36dQBu3rxJixYtcHd35/Dhw+zYsYNLly7h7+//VGsXQgghhBBCCCFeBFIyQgjxSvP19WXo0KEAjBkzhrlz5/Lzzz9Ts2ZNVq9eTV5eHsuXL8fQ0BAXFxf+/PNPhgwZovZftGgRNjY2LFy4EI1GQ61atbh48SJjxoxhwoQJlCql++9qqampREREkJqaSuXKlQEIDg5mx44dREREMG3aNKpUqaKTeP7ggw/YuXMn69evp0GDBty6dYv58+ezcOFC+vXrB0CNGjV46623AFi3bh15eXksW7ZMPXkbERGBhYUFMTExtGnTBiMjI7KysrC2tlbn6dKlC0FBQWzevFlNbkZGRhIQEKCO86Bdu3aRnJxMTEyMOs7UqVNp3br1v/4+jIyM0Gq1lC5dWic2QOfFfPb29kyZMoXBgwezaNEi9X5OTg6LFy+mRo0aAHTt2pWVK1dy6dIltFottWvXpnnz5vz8889qorkwAQEB9OzZE4Bp06axYMECfv31V3x8fFi4cCHu7u5MmzZNbb9ixQpsbGw4c+YMTk5OhY6ZlZWlk2zPyMgo/sYIIYQQQgghhBDPiSSEhRCvNDc3N/VnjUaDtbU1ly9fBiAxMRE3NzcMDQ3VNo0aNdLpn5iYSKNGjXQSpl5eXmRmZvLnn39ia2ur0/7EiRPk5uYWSBpmZWVRrlw54P7J22nTprF+/Xr++usvsrOzycrKwtjYWJ0zKyuLli1bFrqmhIQEzp49i6mpqc79u3fvkpycXOReGBoa0qdPH1asWIG/vz9Hjx7l5MmTBcol5EtKSsLGxkYncdugQYMix39aP/74I9OnT+e3334jIyODe/fucffuXe7cuaPujbGxsZoMBrCyssLe3h6tVqtzL/87LsqDfy5MTEwwMzNT+yQkJPDzzz/rjJkvOTm5yITw9OnTCQsLK/6ChRBCCCGEEEKIEiAJYSHEK61MmTI6nzUaDXl5ef/ZfJmZmejp6XHkyBH09PR0nuUnGD/99FPmz5/PvHnz1Jq5I0aMIDs7G7h/ivZxc9SrV49Vq1YVePa4F6gNHDiQunXr8ueffxIREUGLFi2ws7N7kiU+UqlSpVAURedeTk7OY/ulpKTQvn17hgwZwtSpU7G0tGT//v0EBgaSnZ2tJoQL+z7/zXf8qD6ZmZn4+fkxY8aMAv0qVapU5JghISF8/PHH6ueMjAxsbGweGYcQQgghhBBCCPG8SUJYCPHacnZ2ZuXKldy9e1c9JXzw4MECbTZs2ICiKOop4djYWExNTalatWqBMd3d3cnNzeXy5cu8/fbbhc4bGxtLx44deffdd4H7L5A7c+YMtWvXBsDR0REjIyN2797NwIEDC/T38PBg3bp1VKxYETMzs0Ln0NfX13mxWj5XV1c8PT1ZunQpq1evZuHChUVtDzVr1uTChQtcunRJrV8cFxdXZHu4n5C+desWt2/fxsTEBID4+PjHxnbkyBHy8vKYPXu2WoZj/fr1j5zrv+Lh4cGGDRuwt7endOni/9+kgYEBBgYG/2FkQgghhBBCCCHE05OEsBDitdWrVy/GjRvHoEGDCAkJISUlhVmzZum0GTp0KPPmzeODDz4gKCiIpKQkJk6cyMcff1ygfjCAk5MTvXv3pm/fvsyePRt3d3euXLnC7t27cXNzo127djg6OvLtt9/yyy+/ULZsWebMmcOlS5fUhLChoSFjxoxh9OjR6Ovr4+XlxZUrVzh16hSBgYH07t2bTz/9lI4dOzJp0iSqVq3K+fPn2bhxI6NHj6Zq1arY29uzc+dOkpKSKFeuHObm5uqp2IEDBxIUFISJiQmdO3cucn9at25NjRo16NevHzNnzuTWrVt88sknAIXWHAZ48803MTY25n//+x/Dhw/n0KFDREZG6rSxt7fn3LlzxMfHU7VqVUxNTXFwcCAnJ4fPPvsMPz8/YmNj+eKLL4r9XT5Lw4YNY+nSpfTs2ZPRo0djaWnJ2bNnWbt2LcuWLStw8lsIUbiU8HYlHYIQQgghhBCiEAWzGUII8ZrQarV89913nDhxAnd3d8aNG1egTECVKlXYvn07v/76K3Xq1GHw4MEEBgaqidHCRERE0LdvX0aOHEnNmjXp1KkTcXFxar3hTz75BA8PD7y9vWnWrBnW1tZ06tRJZ4zx48czcuRIJkyYgLOzM927d1dr3BobG7N3715sbW3p0qULzs7OBAYGcvfuXfXE8KBBg6hZsyaenp5UqFCB2NhYdeyePXtSunRpevbsqVM/+WF6enpER0eTmZlJ/fr1GThwIOPGjQMosp+lpSVff/0127dvx9XVlTVr1hAaGqrT5p133sHHx4fmzZtToUIF1qxZQ506dZgzZw4zZszgjTfeYNWqVUyfPr3I2P5LlStXJjY2ltzcXNq0aYOrqysjRozAwsKi0H8EEEIIIYQQQgghXiYa5eFij0IIIV5pKSkp1KhRg7i4ODw8PJ6ob2xsLG+99RZnz57VebmbKCgjIwNzc3PS09OLLO0hhBBCCCGEEEI8K8X9PVRKRgghxGsiJyeHa9eu8cknn9CwYcNiJYM3bdqEVqvF0dGRs2fP8uGHH+Ll5SXJYCGEEEIIIYQQ4iUlCWEhhHhNxMbG0rx5c5ycnPj222+L1efWrVuMGTOG1NRUypcvT6tWrZg9e/Z/HKkQQgghhBBCCCH+K1IyQgghhA6NRsOmTZsK1DV+3mJiYmjevDk3btzAwsKCyMhIRowYwc2bN0s0ruKSkhFCCCGEEEIIIZ6n4v4eKm/HEUKIEjZ9+nTq16+PqakpFStWpFOnTiQlJZVYPGlpabRt27bE5i9K9+7dOXPmzDMfV6PREB0d/czHFUIIIYQQQgghXkRSMkIIIUrYnj17GDZsGPXr1+fevXv873//o02bNpw+fRoTE5PnHo+1tfVzn7M4jIyMMDIyKukwhBDipWY/dltJh1CklPB2JR2CEEIIIcRrQU4ICyFECduxYwcBAQG4uLhQp04dIiMjSU1N5ciRI4/sN2bMGJycnDA2NqZ69eqMHz+enJwc9XloaCh169ZlxYoV2NraotVqGTp0KLm5ucycORNra2sqVqzI1KlTdcZ98MRsSkoKGo2GjRs30rx5c4yNjalTpw4HDhzQ6bNhwwZcXFwwMDDA3t6+QJ3hlStX4unpiampKdbW1vTq1YvLly/rtNm+fTtOTk4YGRnRvHlzUlJSdJ5HRkZiYWFRYH1LlizBxsYGY2Nj/P39SU9PV9vExcXRunVrypcvj7m5OU2bNuXo0aPqc3t7ewA6d+6MRqNRPwNs3rwZDw8PDA0NqV69OmFhYdy7d++R34kQQgghhBBCCPGik4SwEEK8YPITmpaWlo9sZ2pqSmRkJKdPn2b+/PksXbqUuXPn6rRJTk7m+++/Z8eOHaxZs4bly5fTrl07/vzzT/bs2cOMGTP45JNPOHTo0CPnGjduHMHBwcTHx+Pk5ETPnj3V5OiRI0fw9/enR48enDhxgtDQUMaPH09kZKTaPycnh8mTJ5OQkEB0dDQpKSkEBASozy9cuECXLl3w8/MjPj6egQMHMnbs2Mfu1dmzZ1m/fj3fffcdO3bs4NixYwwdOlR9fuvWLfr168f+/fs5ePAgjo6O+Pr6cuvWLeB+whggIiKCtLQ09fO+ffvo27cvH374IadPn2bJkiVERkYWSJ4LIYQQQgghhBAvG3mpnBBCvEDy8vLo0KEDN2/eZP/+/U/Ud9asWaxdu5bDhw8D90/Qfvrpp/z999+YmpoC4OPjQ1JSEsnJyZQqdf/fBGvVqkVAQICagH3wpXIpKSlUq1aNZcuWERgYCMDp06dxcXEhMTGRWrVq0bt3b65cucIPP/ygxjJ69Gi2bdvGqVOnCo318OHD1K9fn1u3bqHVavnf//7H5s2bddqPHTuWGTNmFPlSudDQUKZMmcL58+epUqUKcP+0dbt27fjrr78KLX2Rl5eHhYUFq1evpn379gXWm69Vq1a0bNmSkJAQ9d7XX3/N6NGjuXjxYqFrysrKIisrS/2ckZGBjY2NvFROCPFCkZIRQgghhBCvLnmpnBBCvISGDRvGyZMnWbt2rXpv8ODBaLVa9cq3bt06vLy8sLa2RqvV8sknn5Camqoznr29vZoMBrCysqJ27dpqMjj/3sPlGx7m5uam/lypUiUAtU9iYiJeXl467b28vPj999/Jzc0F7p8i9vPzw9bWFlNTU5o2bQqgxpuYmMibb76pM0ajRo0eGROAra2tmgzO75OXl6e+lO/SpUsMGjQIR0dHzM3NMTMzIzMzs8A+PSwhIYFJkybp7PugQYNIS0vjzp07hfaZPn065ubm6mVjY/PY+IUQQgghhBBCiOdNXionhBAviKCgILZu3crevXupWrWqen/SpEkEBwfrtD1w4AC9e/cmLCwMb29vzM3NWbt2bYHavWXKlNH5rNFoCr2Xl5f3yNge7KPRaAAe2yff7du38fb2xtvbm1WrVlGhQgVSU1Px9vYmOzu7WGP8W/369ePatWvMnz8fOzs7DAwMaNSo0WPnzczMJCwsjC5duhR4ZmhoWGifkJAQPv74Y/Vz/glhIYQQQgghhBDiRSIJYSGEKGGKovDBBx+wadMmYmJiqFatms7zihUrUrFiRZ17v/zyC3Z2dowbN069d/78+ecS78OcnZ2JjY3VuRcbG4uTkxN6enr89ttvXLt2jfDwcDVBml/W4sExtmzZonPv4MGDj507NTWVixcvUrlyZbVPqVKlqFmzphrHokWL8PX1Be7XKr569arOGGXKlFFPMufz8PAgKSkJBweHx8aQz8DAAAMDg2K3F0IIIYQQQgghSoIkhIUQooQNGzaM1atXs3nzZkxNTfn7778BMDc3x8jIqNA+jo6OpKamsnbtWurXr8+2bdvYtGnT8wxbNXLkSOrXr8/kyZPp3r07Bw4cYOHChSxatAi4X9ZBX1+fzz77jMGDB3Py5EkmT56sM8bgwYOZPXs2o0aNYuDAgRw5ckTnpXRFMTQ0pF+/fsyaNYuMjAyGDx+Ov7+/Wj/Y0dGRlStX4unpSUZGBqNGjSqwp/b29uzevRsvLy8MDAwoW7YsEyZMoH379tja2tK1a1dKlSpFQkICJ0+eZMqUKc9m44QQogRInV4hhBBCCCE1hIUQooQtXryY9PR0mjVrRqVKldRr3bp1Rfbp0KEDH330EUFBQdStW5dffvmF8ePHP8eo/4+Hhwfr169n7dq1vPHGG0yYMIFJkyYREBAAQIUKFYiMjOSbb76hdu3ahIeHM2vWLJ0xbG1t2bBhA9HR0dSpU4cvvviCadOmPXZuBwcHunTpgq+vL23atMHNzU1NRAMsX76cGzdu4OHhQZ8+fRg+fHiB09azZ89m165d2NjY4O7uDoC3tzdbt27lhx9+oH79+jRs2JC5c+diZ2f3lLslhBBCCCGEEEKULI2iKEpJByGEEEI8qdDQUKKjo4mPjy/pUApV3Le7CiGEEEIIIYQQz0Jxfw+VE8JCCCGEEEIIIYQQQgjxmpCEsBBCCCGEEEIIIYQQQrwmJCEshBBPqVmzZowYMUL9bG9vz7x580osnpIQExODRqPh5s2bz23O0NDQAuUiHv4uhBBCCCGEEEIIoUsSwkKIZ+LKlSsMGTIEW1tbDAwMsLa2xtvbm9jY2CL7TJ06lcaNG2NsbIyFhcXzC/Y/FhcXx3vvvfefzxMQEIBGo9G5fHx8/vN5XyUlkcgWQgghhBBCCCFKUumSDkAI8Wp45513yM7OJioqiurVq3Pp0iV2797NtWvXiuyTnZ1Nt27daNSoEcuXL3+O0epSFIXc3FxKl9b9KzE7Oxt9ff0nHq9ChQrPKrTH8vHxISIiQv1sYGDw3ObOl5OT89znFEII8e/Yj91W0iGIx0gJb1fSIQghhBDiFScnhIUQT+3mzZvs27ePGTNm0Lx5c+zs7GjQoAEhISF06NChyH5hYWF89NFHuLq6FnuuyMhILCwsiI6OxtHREUNDQ7y9vblw4QIAKSkplCpVisOHD+v0mzdvHnZ2duTl5amnQr///nvq1auHgYEB+/fvp1mzZgQFBTFixAjKly+Pt7c3AHv27KFBgwYYGBhQqVIlxo4dy71794qM8eGSERqNhmXLltG5c2eMjY1xdHRky5YtOn1OnjxJ27Zt0Wq1WFlZ0adPH65evfrY/cg/jZ1/lS1b9rF9Tp06Rfv27TEzM8PU1JS3336b5ORk4P7p5tatW1O+fHnMzc1p2rQpR48e1emv0WhYvHgxHTp0wMTEhKlTp6rPYmNjcXNzw9DQkIYNG3Ly5Emdvhs2bMDFxQUDAwPs7e2ZPXu2+mzSpElUrlxZ5x8R2rVrR/PmzcnLy2PAgAG0b99eZ7ycnBwqVqxY5D8orFy5Ek9PT0xNTbG2tqZXr15cvnwZuP9npXnz5gCULVsWjUZDQEAAAHl5eUyfPp1q1aphZGREnTp1+Pbbbx+7t0IIIYQQQgghxItOEsJCiKem1WrRarVER0eTlZX1n893584dpk6dyldffUVsbCw3b96kR48ewP1kbKtWrXROzQJEREQQEBBAqVL/99fe2LFjCQ8PJzExETc3NwCioqLQ19cnNjaWL774gr/++gtfX1/q169PQkICixcvZvny5UyZMuWJYg4LC8Pf35/jx4/j6+tL7969uX79OnA/od6iRQvc3d05fPgwO3bs4NKlS/j7+z923JiYGCpWrEjNmjUZMmTII09kA/z11180adIEAwMDfvrpJ44cOcKAAQPUBPetW7fo168f+/fv5+DBgzg6OuLr68utW7d0xgkNDaVz586cOHGCAQMGqPdHjRrF7NmziYuLo0KFCvj5+akniI8cOYK/vz89evTgxIkThIaGMn78eCIjIwEYN24c9vb2DBw4EIDPP/+cX375haioKEqVKsXAgQPZsWMHaWlp6nxbt27lzp07dO/evdD15uTkMHnyZBISEoiOjiYlJUVN+trY2LBhwwYAkpKSSEtLY/78+QBMnz6dr776ii+++IJTp07x0Ucf8e6777Jnz57HfidCCCGEEEIIIcSLTEpGCCGeWunSpYmMjGTQoEF88cUXeHh40LRpU3r06KEmWp+lnJwcFi5cyJtvvgncT+I6Ozvz66+/0qBBAwYOHMjgwYOZM2cOBgYGHD16lBMnTrB582adcSZNmkTr1q117jk6OjJz5kz187hx47CxsWHhwoVoNBpq1arFxYsXGTNmDBMmTNBJMD9KQEAAPXv2BGDatGksWLCAX3/9FR8fHxYuXIi7uzvTpk1T269YsQIbGxvOnDmDk5NToWP6+PjQpUsXqlWrRnJyMv/73/9o27YtBw4cQE9Pr9A+n3/+Oebm5qxdu5YyZcoA6IzfokULnfZffvklFhYW7NmzR+d0bq9evejfv7/6+Y8//gBg4sSJ6p5GRUVRtWpVNm3ahL+/P3PmzKFly5aMHz9enff06dN8+umnBAQEoKenx9dff03dunUZO3YsCxYsYNmyZdja2gLQuHFjatasycqVKxk9ejRwP9HfrVs3tFptoet9MFldvXp1FixYQP369cnMzESr1WJpaQlAxYoV1TrWWVlZTJs2jR9//JFGjRqpfffv38+SJUto2rRpoXNlZWXp/INIRkZGoe2EEEIIIYQQQoiSJCeEhRDPxDvvvMPFixfZsmULPj4+xMTE4OHhQWRkJIMHD1ZPEReVuCuMi4uL2qdt27bq/dKlS1O/fn31c61atbCwsCAxMRGATp06oaenx6ZNm4D7ZSaaN2+Ovb29zvienp4F5qxXr57O58TERBo1aoRGo1HveXl5kZmZyZ9//lnstTyYGDcxMcHMzEwtXZCQkMDPP/+ss0e1atUCIDk5mVWrVuk827dvHwA9evSgQ4cOuLq60qlTJ7Zu3UpcXBwxMTEAagkKrVaLi4sLAPHx8bz99ttqMvhhly5dYtCgQTg6OmJubo6ZmRmZmZmkpqY+du8ANYEKYGlpSc2aNdXvJTExES8vL532Xl5e/P777+Tm5gL3E6+zZs1ixowZdOjQgV69eum0HzhwoHr6+9KlS3z//fc6Sd+HHTlyBD8/P2xtbTE1NVWTuQ+v50Fnz57lzp07tG7dWmffv/rqK7W0RmGmT5+Oubm5etnY2BTZVgghhBBCCCGEKClyQlgI8cwYGhrSunVrWrduzfjx4xk4cCATJ04kLi6O4ODgJx5v+/btarkBIyOjYvfT19enb9++RERE0KVLF1avXq2WAniQiYlJse49Cw8nYDUaDXl5eQBkZmbi5+fHjBkzCvSrVKkSeXl56mlogCpVqhQ6R/Xq1Slfvjxnz56lZcuWLFu2jH/++Udn/sftY79+/bh27Rrz58/Hzs4OAwMDGjVqRHZ2tk67/2qfAPbu3Yuenh4pKSncu3dP52V/ffv2ZezYsRw4cIBffvmFatWq8fbbbxc6zu3bt/H29sbb25tVq1ZRoUIFUlNT8fb2LrCeB2VmZgKwbdu2Anv9qJf2hYSE8PHHH6ufMzIyJCkshBBCCCGEEOKFIwlhIcR/pnbt2kRHR1OxYkUqVqz4xP3t7OwKvX/v3j0OHz5MgwYNgPv1X2/evImzs7PaZuDAgbzxxhssWrSIe/fu0aVLl3+1BmdnZzZs2ICiKOop4djYWExNTalateq/GvNhHh4ebNiwAXt7e53k54NMTU0fO86ff/7JtWvXqFSpElB44tjNzY2oqChycnIKPSUcGxvLokWL8PX1BeDChQvFerldvoMHD6olHm7cuMGZM2fU78XZ2ZnY2NgC8zk5OaklLtatW8fGjRuJiYnB39+fyZMnExYWprYvV64cnTp1IiIiggMHDuiUrXjYb7/9xrVr1wgPD1cTsw+/bFBfXx9APaEM9//cGhgYkJqaWmR5iMIYGBg8MmEshBBCCCGEEEK8CCQhLIR4ateuXaNbt24MGDAANzc3TE1NOXz4MDNnzqRjx45F9ktNTeX69eukpqaSm5tLfHw8AA4ODo8sLVGmTBk++OADFixYQOnSpQkKCqJhw4ZqghjuJx8bNmzImDFjGDBgwBOdMH7Q0KFDmTdvHh988AFBQUEkJSUxceJEPv7442LXD36cYcOGsXTpUnr27Mno0aOxtLTk7NmzrF27lmXLlhVaDzgzM5OwsDDeeecdrK2tSU5OZvTo0Tg4OODt7V3kXEFBQXz22Wf06NGDkJAQzM3NOXjwIA0aNKBmzZo4OjqycuVKPD09ycjIYNSoUU+0d5MmTaJcuXJYWVkxbtw4ypcvT6dOnQAYOXIk9evXZ/LkyXTv3p0DBw6wcOFCFi1aBNxPaA8ZMoQZM2bw1ltvERERQfv27Wnbti0NGzZU5xg4cCDt27cnNzeXfv36FRmLra0t+vr6fPbZZwwePJiTJ08yefJknTZ2dnZoNBq2bt2Kr68vRkZGmJqaEhwczEcffUReXh5vvfUW6enpxMbGYmZm9sg5hRDiRZcS3q6kQxBCCCGEECVMaggLIZ6aVqvlzTffZO7cuTRp0oQ33niD8ePHM2jQIBYuXFhkvwkTJuDu7s7EiRPJzMzE3d0dd3f3Aqc4H2ZsbMyYMWPo1asXXl5eaLVa1q1bV6BdYGAg2dnZj6wx+zhVqlRh+/bt/Prrr9SpU4fBgwcTGBjIJ5988q/HfFjlypWJjY0lNzeXNm3a4OrqyogRI7CwsCgy6aynp8fx48fp0KEDTk5OBAYGUq9ePfbt2/fIU6rlypXjp59+IjMzk6ZNm1KvXj2WLl2qnhZevnw5N27cwMPDgz59+jB8+PAnOt0dHh7Ohx9+SL169fj777/57rvv1FO4Hh4erF+/nrVr1/LGG28wYcIEJk2aREBAAIqiEBAQQIMGDQgKCgLA29ubIUOG8O6776plHABatWpFpUqV8Pb2pnLlykXGUqFCBSIjI/nmm2+oXbs24eHhzJo1S6dNlSpVCAsLY+zYsVhZWalzT548mfHjxzN9+nScnZ3x8fFh27ZtVKtWrdh7IYQQQgghhBBCvIg0iqIoJR2EEEIUV2RkJCNGjODmzZuPbTt58mS++eYbjh8//t8HJp6bzMxMqlSpotaIflFlZGRgbm5Oeno6ZmZmJR2OEEIIIYQQQohXXHF/D5WSEUKIV05mZiYpKSksXLiQKVOmlHQ44hnJy8vj6tWrzJ49GwsLCzp06FDSIQkhhBBCCCGEEC8dKRkhhHjlBAUFUa9ePZo1a/ZU5SLEiyU1NRUrKytWr17NihUrinwBnxBCCCGEEEIIIYomJSOEEELQrFkz6taty7x580o6lCcqC/Iik5IRQgghhBBCCCGeJykZIYQQotg2btyovljudRIQEMDNmzeJjo4u6VCEEEIIIYQQQojnQhLCQgghsLS0LOkQnqmcnJzXMsEthBCPYz92W0mH8FJICW9X0iEIIYQQQvxnpIawEEIImjVrxogRIwBYtGgRjo6OGBoaYmVlRdeuXdV2WVlZDB8+nIoVK2JoaMhbb71FXFwccP+lb1WrVmXx4sU6Yx87doxSpUpx/vx5AObMmYOrqysmJibY2NgwdOhQMjMzHxnf5s2b8fDwwNDQkOrVqxMWFsa9e/fU5xqNhsWLF9OhQwdMTEyYOnUqubm5BAYGUq1aNYyMjKhZsybz589X+4SGhhIVFcXmzZvRaDRoNBpiYmIAuHDhAv7+/lhYWGBpaUnHjh1JSUn5t9srhBBCCCGEEEK8MCQhLIQQQnX48GGGDx/OpEmTSEpKYseOHTRp0kR9Pnr0aDZs2EBUVBRHjx7FwcEBb29vrl+/TqlSpejZsyerV6/WGXPVqlV4eXlhZ2cHQKlSpViwYAGnTp0iKiqKn376idGjRxcZ0759++jbty8ffvghp0+fZsmSJURGRjJ16lSddqGhoXTu3JkTJ04wYMAANUH9zTffcPr0aSZMmMD//vc/1q9fD0BwcDD+/v74+PiQlpZGWloajRs3JicnB29vb0xNTdm3bx+xsbFotVp8fHzIzs4uMs6srCwyMjJ0LiGEEEIIIYQQ4kUjL5UTQgihvlSuSZMm9O/fnz///BNTU1OdNrdv36Zs2bJERkbSq1cv4H5pBnt7e0aMGMGoUaOIj4/Hw8ODlJQUbG1tycvLw9bWlk8++YTBgwcXOve3337L4MGDuXr1KlDwpXKtWrWiZcuWhISEqH2+/vprRo8ezcWLF4H7J4RHjBjB3LlzH7nOoKAg/v77b7799lug8BrCX3/9NVOmTCExMRGNRgNAdnY2FhYWREdH06ZNm0LHDg0NJSwsrMB9eamcEOJFIiUjikdKRgghhBDiZVTcl8rJCWEhhBCq1q1bY2dnR/Xq1enTpw+rVq3izp07ACQnJ5OTk4OXl5favkyZMjRo0IDExEQA6tati7Ozs3pKeM+ePVy+fJlu3bqpfX788UdatmxJlSpVMDU1pU+fPly7dk2d52EJCQlMmjQJrVarXoMGDSItLU2nj6enZ4G+n3/+OfXq1aNChQpotVq+/PJLUlNTH7kHCQkJnD17FlNTU3U+S0tL7t69S3JycpH9QkJCSE9PV68LFy48ch4hhBBCCCGEEKIkSEJYCCGEytTUlKNHj7JmzRoqVarEhAkTqFOnjnpatzh69+6tJoRXr16Nj48P5cqVAyAlJYX27dvj5ubGhg0bOHLkCJ9//jlAkeUYMjMzCQsLIz4+Xr1OnDjB77//jqGhodrOxMREp9/atWsJDg4mMDCQH374gfj4ePr37//Isg/589WrV09nvvj4eM6cOaOejC6MgYEBZmZmOpcQQgghhBBCCPGiKV3SAQghhHixlC5dmlatWtGqVSsmTpyIhYUFP/30E97e3ujr6xMbG6vWA87JySEuLk59IR1Ar169+OSTTzhy5AjffvstX3zxhfrsyJEj5OXlMXv2bEqVuv9vkvk1fYvi4eFBUlISDg4OT7SO2NhYGjduzNChQ9V7D5/w1dfXJzc3t8B869ato2LFipLUFUIIIYQQQgjxypGEsBBCCNXWrVv5448/aNKkCWXLlmX79u3k5eVRs2ZNTExMGDJkCKNGjcLS0hJbW1tmzpzJnTt3CAwMVMewt7encePGBAYGkpubS4cOHdRnDg4O5OTk8Nlnn+Hn50dsbKxOwrgwEyZMoH379tja2tK1a1dKlSpFQkICJ0+eZMqUKUX2c3R05KuvvmLnzp1Uq1aNlStXEhcXR7Vq1XRi3blzJ0lJSZQrVw5zc3N69+7Np59+SseOHZk0aRJVq1bl/PnzbNy4kdGjR1O1atWn2GEhhChZUhtXCCGEEEJIyQghhBAqCwsLNm7cSIsWLXB2duaLL75gzZo1uLi4ABAeHs4777xDnz598PDw4OzZs+zcuZOyZcvqjNO7d28SEhLo3LkzRkZG6v06deowZ84cZsyYwRtvvMGqVauYPn36I2Py9vZm69at/PDDD9SvX5+GDRsyd+5c9ZRyUd5//326dOlC9+7defPNN7l27ZrOaWGAQYMGUbNmTTw9PalQoQKxsbEYGxuzd+9ebG1t6dKlC87OzgQGBnL37l05MSyEEEIIIYQQ4qWnURRFKekghBBCiFdNcd/uKoQQQgghhBBCPAvF/T1UTggLIYQQQgghhBBCCCHEa0ISwkIIIYQQQgghhBBCCPGakISwEEIUQqPREB0dXdJhPJWUlBQ0Gg3x8fHPbIyYmBg0Gg03b94ssk9oaCh169b913PC4/f/38QlhBBCCCGEEEIISQgLIZ6BgIAANBoN4eHhOvejo6PRaDQlFNV9zZo1Y8SIEc983GvXruHj40PlypUxMDDAxsaGoKAgMjIynvlcxREQEECnTp1KZO6HBQcHs3v37mK1LSp5nJaWRtu2bYs9Z+PGjUlLS8Pc3LzYfYorJiaG0NDQZz6uEEIIIYQQQghREiQhLIR4JgwNDZkxYwY3btwo6VCei1KlStGxY0e2bNnCmTNniIyM5Mcff2Tw4MElHVqJ02q1lCtX7qnGsLa2xsDAoNjt9fX1sba2fqb/APHFF19w+fJl9XN2djazZ88mJyfnmc0hhBBCCCGEEEI8b5IQFkI8E61atcLa2prp06cXu09ycjIdO3bEysoKrVZL/fr1+fHHH3XaZGVlMWbMGGxsbDAwMMDBwYHly5erz0+ePEnbtm3RarVYWVnRp08frl69Ctw/Nbtnzx7mz5+PRqNBo9Fw7tw5HBwcmDVrls488fHxaDQazp49W6zYy5Yty5AhQ/D09MTOzo6WLVsydOhQ9u3b98h+rHg6HgAArbxJREFU+Sd5p02bhpWVFRYWFkyaNIl79+4xatQoLC0tqVq1KhERETr9Lly4gL+/PxYWFlhaWtKxY0dSUlKA+6dso6Ki2Lx5s7rOmJgYte8ff/xB8+bNMTY2pk6dOhw4cACA27dvY2ZmxrfffqszV3R0NCYmJty6davIdRw5cgRPT0+MjY1p3LgxSUlJ6rOHT/3GxMTQoEEDTExMsLCwwMvLi/PnzxMZGUlYWBgJCQlq3JGRkUDBkhG//vor7u7uGBoa4unpybFjx3TiebhkRGRkJBYWFuzcuRNnZ2e0Wi0+Pj6kpaXp9Fu2bBnOzs4YGhpSq1YtFi1apD6zsbGhQ4cObNq0iVOnTtGiRQs1NiGEEEIIIYQQ4mUlCWEhxDOhp6fHtGnT+Oyzz/jzzz+L1SczMxNfX192797NsWPH8PHxwc/Pj9TUVLVN3759WbNmDQsWLCAxMZElS5ag1WoBuHnzJi1atMDd3Z3Dhw+zY8cOLl26hL+/PwDz58+nUaNGDBo0iLS0NNLS0rC1tWXAgAEFEq4RERE0adIEBweHf7X+ixcvsnHjRpo2bfrYtj/99BMXL15k7969zJkzh4kTJ9K+fXvKli3LoUOHGDx4MO+//766jzk5OXh7e2Nqasq+ffuIjY1VE5zZ2dkEBwfj7++vJjzT0tJo3LixOt+4ceMIDg4mPj4eJycnevbsyb179zAxMaFHjx6F7kXXrl0xNTUtcg3jxo1j9uzZHD58mNKlSzNgwIBC2927d49OnTrRtGlTjh8/zoEDB3jvvffQaDR0796dkSNH4uLiosbdvXv3AmNkZmbSvn17ateuzZEjRwgNDSU4OPix+3znzh1mzZrFypUr2bt3L6mpqTr9Vq1axYQJE5g6dSqJiYlMmzaN8ePHExUVBUC7du3YuXMnP/zwA9u3b+ezzz5j5MiRlC5dutD5srKyyMjI0LmEEEIIIYQQQogXjiKEEE+pX79+SseOHRVFUZSGDRsqAwYMUBRFUTZt2qQ86V8zLi4uymeffaYoiqIkJSUpgLJr165C206ePFlp06aNzr0LFy4ogJKUlKQoiqI0bdpU+fDDD3Xa/PXXX4qenp5y6NAhRVEUJTs7WylfvrwSGRmptgGUTZs2PTbeHj16KEZGRgqg+Pn5Kf/8888j2/fr10+xs7NTcnNz1Xs1a9ZU3n77bfXzvXv3FBMTE2XNmjWKoijKypUrlZo1ayp5eXlqm6ysLMXIyEjZuXOnOm7+d5Dv3LlzCqAsW7ZMvXfq1CkFUBITExVFUZRDhw4penp6ysWLFxVFUZRLly4ppUuXVmJiYnTGOHbsmKIoivLzzz8rgPLjjz+qY27btk0B1LVPnDhRqVOnjqIoinLt2jUFUMd72INtH/Tg/i9ZskQpV66czt4uXry40Lhu3LihKIqiREREKIBy9uxZtc/nn3+uWFlZqZ9r1KihrF69WmfeyZMnK40aNVIURVG+//57pWHDhsrw4cOVrl27Km+99ZYyb9485d69e0WuBShwpaenF9peCCGEEEIIIYR4ltLT04v1e6icEBZCPFMzZswgKiqKxMREnftarVa98uvsZmZmEhwcjLOzMxYWFmi1WhITE9UTwvHx8ejp6RV56jYhIYGff/5ZZ+xatWoB98tRFKVy5cq0a9eOFStWAPDdd9+RlZVFt27dCm2fX5JCq9Xi4uKi82zu3LkcPXqUzZs3k5yczMcffwxAamqqTlzTpk1T+7i4uFCq1P/99WtlZYWrq6v6WU9Pj3Llyqn1axMSEjh79iympqbqeJaWlty9e/eR68zn5uam/lypUiUAdewGDRrg4uKinor9+uuvsbOzo0mTJv96zAdZWloSEBCAt7c3fn5+zJ8/v0DZhsdJTEzEzc0NQ0ND9V6jRo0e28/Y2JgaNWroxJkf4+3bt0lOTiYwMFDne5oyZYq6p+fOnWPz5s107twZFxcXdu/eTU5ODnl5eYXOFxISQnp6unpduHDhidYphBBCCCGEEEI8D4X/d69CCPEvNWnSBG9vb0JCQggICFDvx8fHqz+bmZkBEBwczK5du5g1axYODg4YGRnRtWtXsrOzATAyMnrkXJmZmfj5+TFjxowCz/KTlEUZOHAgffr0Ye7cuURERNC9e3eMjY0Lbbts2TL++ecfAMqUKaPzzNraGmtra2rVqoWlpSVvv/0248ePp3LlyjprtrS0VH9+eAyNRlPovfzEY2ZmJvXq1WPVqlUFYqtQocIj1/nwfPn1bx9Mag4cOJDPP/+csWPHEhERQf/+/R9bJ/dxYz4oIiKC4cOHs2PHDtatW8cnn3zCrl27aNiw4WNjfxqF7amiKMD9PQVYunQpb775pk47PT09AIYMGQLA6dOngfsvrntUqQoDA4MnehGeEEIIIYQQQghREiQhLIR45sLDw6lbty41a9ZU7xVWmzc2NpaAgAA6d+4M3E/S5b8oDcDV1ZW8vDz27NlDq1atCvT38PBgw4YN2NvbF1nXVV9fn9zc3AL3fX19MTExYfHixezYsYO9e/cWuZ4qVaoU+exB+QnRrKwsSpcu/a/rET/Mw8ODdevWUbFiRTWZ/rCi1lkc7777LqNHj2bBggWcPn2afv36PU24hXJ3d8fd3Z2QkBAaNWrE6tWradiwYbHidnZ2ZuXKldy9e1c9JXzw4MGnisfKyorKlSvzxx9/0Lt370e2bdasGc2aNXuq+YQQQgghhBBCiBeFlIwQQjxzrq6u9O7dmwULFjyynaOjIxs3biQ+Pp6EhAR69eqlc8rU3t6efv36MWDAAKKjozl37hwxMTGsX78egGHDhnH9+nV69uxJXFwcycnJ7Ny5k/79+6tJRnt7ew4dOkRKSgpXr15Vx9fT0yMgIICQkBAcHR2LVYLgQdu3byciIoKTJ0+SkpLCtm3bGDx4MF5eXtjb2z/RWI/Tu3dvypcvT8eOHdm3b5+6D8OHD1dfPGdvb8/x48dJSkri6tWr5OTkFHv8smXL0qVLF0aNGkWbNm2oWrXqM4v93LlzhISEcODAAc6fP88PP/zA77//jrOzsxr3uXPniI+P5+rVq2RlZRUYo1evXmg0GgYNGsTp06fZvn07s2bNeurYwsLCmD59OgsWLODMmTOcOHGCiIgI5syZ89RjCyGEEEIIIYQQLypJCAsh/hOTJk0qsoRAvjlz5lC2bFkaN26Mn58f3t7eeHh46LRZvHgxXbt2ZejQodSqVYtBgwZx+/Zt4H4t4NjYWHJzc2nTpg2urq6MGDECCwsLtUZvcHAwenp61K5dmwoVKqj1iQECAwPJzs6mf//+T7w+IyMjli5dyltvvYWzszMfffQRHTp0YOvWrU881uMYGxuzd+9ebG1t6dKlC87OzgQGBnL37l31xPCgQYOoWbMmnp6eVKhQgdjY2CeaI38vBgwY8Mxj/+2333jnnXdwcnLivffeY9iwYbz//vsAvPPOO/j4+NC8eXMqVKjAmjVrCoyh1Wr57rvvOHHiBO7u7owbN67QMiFPauDAgSxbtoyIiAhcXV1p2rQpkZGRVKtW7anHFkIIIYQQQgghXlQaJb+gohBCvGb27dtHy5YtuXDhAlZWViUdTolauXIlH330ERcvXkRfX7+kw3klZGRkYG5uTnp6epGlPoQQQgghhBBCiGeluL+HSg1hIcRrJysriytXrhAaGkq3bt1e62TwnTt3SEtLIzw8nPfff1+SwUIIIYQQQgghxCtOSkYIIV47a9aswc7Ojps3bzJz5sySDqdEzZw5k1q1amFtbU1ISEhJhyOEEEIIIYQQQoj/mCSEhRCvlWbNmhEfH09ubi5HjhyhSpUqTzxGZGQkFhYWj2wTGhpK3bp1/12Q/0JKSgoajYb4+Pgn6hcaGkpOTg67d+9Gq9X+N8EVU0BAAJ06dSrRGIQQQgghhBBCiFedlIwQQrxWNm7cSJkyZZ5qjO7du+Pr6/uMIhL55s+fT0mUtbe3t2fEiBGMGDHiuc8thBBCCCGEEEI8b5IQFkK8ViwtLZ96DCMjI4yMjJ5BNC+/7OzsZ1Z32Nzc/JmMI4QQomj2Y7eVdAivnJTwdiUdghBCCCHEE5GSEUKI10qzZs10ToLa29szZcoU+vbti1arxc7Oji1btnDlyhU6duyIVqvFzc2Nw4cPq30KKxkRHh6OlZUVpqamBAYGcvfuXZ3ncXFxtG7dmvLly2Nubk7Tpk05evSozpgajabAFRoaCkBeXh6TJk2iatWqGBgYULduXXbs2PHItZ48eZK2bdui1WqxsrKiT58+XL16tcj2+euKjo7G0dERQ0NDvL29uXDhgtomvxTGsmXLqFatGoaGhgCkpqaq+2VmZoa/vz+XLl0q0G/JkiXY2NhgbGyMv78/6enpapuHS0ZkZWUxfPhwKlasiKGhIW+99RZxcXHq85iYGDQaDbt378bT0xNjY2MaN25MUlKS2iY5OZmOHTtiZWWFVqulfv36/Pjjj+rzZs2acf78eT766CN1z/Pt37+ft99+GyMjI2xsbBg+fDi3b99+5J4LIYQQQgghhBAvOkkICyFee3PnzsXLy4tjx47Rrl07+vTpQ9++fXn33Xc5evQoNWrUoG/fvkWWM1i/fj2hoaFMmzaNw4cPU6lSJRYtWqTT5tatW/Tr14/9+/dz8OBBHB0d8fX15datW8D9MhRpaWnqtWbNGkqXLo2Xlxdwv5zC7NmzmTVrFsePH8fb25sOHTrw+++/FxrTzZs3adGiBe7u7hw+fJgdO3Zw6dIl/P39H7kXd+7cYerUqXz11VfExsZy8+ZNevToodPm7NmzbNiwgY0bNxIfH09eXh4dO3bk+vXr7Nmzh127dvHHH3/QvXv3Av3Wr1/Pd999x44dOzh27BhDhw4tMpbRo0ezYcMGoqKiOHr0KA4ODnh7e3P9+nWdduPGjWP27NkcPnyY0qVLM2DAAPVZZmYmvr6+7N69m2PHjuHj44Ofnx+pqanA/RIiVatWZdKkSerew/1Eso+PD++88w7Hjx9n3bp17N+/n6CgoCLjzcrKIiMjQ+cSQgghhBBCCCFeNFIyQgjx2vP19eX9998HYMKECSxevJj69evTrVs3AMaMGUOjRo24dOkS1tbWBfrPmzePwMBAAgMDAZgyZQo//vijzinhFi1a6PT58ssvsbCwYM+ePbRv316nDEVycjLDhg1j2rRptG7dGoBZs2YxZswYNTk7Y8YMfv75Z+bNm8fnn39eIKaFCxfi7u7OtGnT1HsrVqzAxsaGM2fO4OTkVOhe5OTksHDhQt58800AoqKicHZ25tdff6VBgwbA/TIRX331FRUqVABg165dnDhxgnPnzmFjYwPAV199hYuLC3FxcdSvXx+Au3fv8tVXX6kv8vvss89o164ds2fPLrCvt2/fZvHixURGRtK2bVsAli5dyq5du1i+fDmjRo1S206dOpWmTZsCMHbsWNq1a8fdu3cxNDSkTp061KlTR207efJkNm3axJYtWwgKCsLS0hI9PT1MTU11Ypg+fTq9e/dWT5M7OjqyYMECmjZtyuLFi9WT0Q+aPn06YWFhhe6rEEIIIYQQQgjxopATwkKI156bm5v6s5WVFQCurq4F7l2+fLnQ/omJiWoCNV+jRo10Pl+6dIlBgwbh6OiIubk5ZmZmZGZmqidV86Wnp9O+fXvatWunJj0zMjK4ePGielo4n5eXF4mJiYXGlJCQwM8//4xWq1WvWrVqAfcTzkUpXbq0msAFqFWrFhYWFjrz2NnZqcng/PXb2NioyWCA2rVrF+hna2urJoPz9ygvL0+nxEO+5ORkcnJydNZcpkwZGjRoUGDND35/lSpVAv7vu8rMzCQ4OBhnZ2csLCzQarUkJiYW2PeHJSQkEBkZqbN/3t7e5OXlce7cuUL7hISEkJ6erl4PltoQQgghhBBCCCFeFHJCWAjx2itTpoz6c34N2cLu5eXl/es5+vXrx7Vr15g/fz52dnYYGBjQqFEjsrOz1Ta5ubl0794dMzMzvvzyy389F9xPhPr5+TFjxowCz/KTpv+WiYnJU/V/1h71XQUHB7Nr1y5mzZqFg4MDRkZGdO3aVWffC5OZmcn777/P8OHDCzyztbUttI+BgQEGBgb/dhlCCCGEEEIIIcRzISeEhRDiKTk7O3Po0CGdewcPHtT5HBsby/Dhw/H19cXFxQUDA4MCL3j76KOPOHHiBNHR0TolCczMzKhcuTKxsbEFxqxdu3ahMXl4eHDq1Cns7e1xcHDQuR6V0L13757OC/SSkpK4efMmzs7Oj1z/hQsXdE7Enj59mps3b+rEl5qaysWLF9XPBw8epFSpUtSsWbPAmDVq1EBfX19nzTk5OcTFxRW55sLExsYSEBBA586dcXV1xdrampSUFJ02+vr65Obm6tzz8PDg9OnTBfbOwcEBfX39Ys8vhBBCCCGEEEK8aOSEsBBCPKUPP/yQgIAAPD098fLyYtWqVZw6dYrq1aurbRwdHVm5ciWenp5kZGQwatQotWYwQEREBIsWLWLTpk1oNBr+/vtvALVcwahRo5g4cSI1atSgbt26REREEB8fz6pVqwqNadiwYSxdupSePXsyevRoLC0tOXv2LGvXrmXZsmXo6ekV2q9MmTJ88MEHLFiwgNKlSxMUFETDhg3V+sGFadWqFa6urvTu3Zt58+Zx7949hg4dStOmTfH09FTbGRoa0q9fP2bNmkVGRgbDhw/H39+/0LrMJiYmDBkyhFGjRmFpaYmtrS0zZ87kzp07aq3m4nB0dGTjxo34+fmh0WgYP358gZPe9vb27N27lx49emBgYED58uUZM2YMDRs2JCgoiIEDB2JiYsLp06fZtWsXCxcuLPb8QgjxokkJb1fSIQghhBBCiBImJ4SFEOIpde/enfHjxzN69Gjq1avH+fPnGTJkiE6b5cuXc+PGDTw8POjTpw/Dhw+nYsWK6vM9e/aQm5tLhw4dqFSpknrNmjULgOHDh/Pxxx8zcuRIXF1d2bFjB1u2bMHR0bHQmPJPFOfm5tKmTRtcXV0ZMWIEFhYWlCpV9F/9xsbGjBkzhl69euHl5YVWq2XdunWPXL9Go2Hz5s2ULVuWJk2a0KpVK6pXr16gn4ODA126dMHX15c2bdrg5ubGokWLihw3PDycd955hz59+uDh4cHZs2fZuXMnZcuWfWQ8D5ozZw5ly5alcePG+Pn54e3tjYeHh06bSZMmkZKSQo0aNdTayG5ubuzZs4czZ87w9ttv4+7uzoQJE6hcuXKx5xZCCCGEEEIIIV5EGkVRlJIOQgghRMmLjIxkxIgR3Lx585mPHRoaSnR0NPHx8c987BdVRkYG5ubmpKenY2ZmVtLhCCGEEEIIIYR4xRX391A5ISyEEEIIIYQQQgghhBCvCUkICyGEEEIIIYQQQgghxGtCEsJCvARSUlLQaDTP/D+3/6/G/S/ExMSg0Wj+k3IGT0qj0RAdHV3SYTxzAQEBxd7fJ92D0NDQ/+TPWUBAAJ06dXpkmxfpz44QQgghhBBCCFHSJCEsRAkLDw9Ho9EwYsSIkg5FvKAiIyOxsLB44n6vQyJ0/vz5REZGqp+bNWtW4H9LjRs3Ji0tDXNz8+cbnBBCCCGEEEII8QIqXdIBCPE6i4uLY8mSJbi5uZV0KIVSFIXc3FxKl5a/KsTzlZ2djb6+/mPbFSfJq6+vj7W19bMISwghXnr2Y7eVdAivhZTwdiUdghBCCCFEkeSEsBAlJDMzk969e7N06VLKli1brD5//PEHzZs3x9jYmDp16nDgwAEAbt++jZmZGd9++61O++joaExMTLh16xYAv/76K+7u7hgaGuLp6cmxY8d02uefKP3++++pV68eBgYG7N+/n6ysLIYPH07FihUxNDTkrbfeIi4uDoC7d+/i4uLCe++9p46TnJyMqakpK1asKFZs+aUr1q5dS+PGjTE0NOSNN95gz549BfbgyJEjeHp6YmxsTOPGjUlKStJ5vnnzZjw8PDA0NKR69eqEhYVx79499blGo2HZsmV07twZY2NjHB0d2bJlC3A/Ae7g4MCsWbN0xoyPj0ej0XD27NlCv5cxY8bg5OSEsbEx1atXZ/z48eTk5Oi0+e6776hfvz6GhoaUL1+ezp07q8+ysrIIDg6mSpUqmJiY8OabbxITE6N+J/379yc9PR2NRoNGoyE0NBSAlStX4unpiampKdbW1vTq1YvLly8D98uBNG/eHICyZcui0WgICAhQ5yvq+/y3e/Dnn3/Ss2dPLC0tMTExwdPTk0OHDgH3/zx07NgRKysrtFot9evX58cff9Tpb29vz+TJk+nbty9mZma899576snonTt34uzsjFarxcfHh7S0NLXfgyUjAgIC2LNnD/Pnz1f3KiUlpcBJ6eKMC7Bs2TKcnZ0xNDSkVq1aLFq0qNC1CyGEEEIIIYQQLxNJCAtRQoYNG0a7du1o1apVsfuMGzeO4OBg4uPjcXJyomfPnty7dw8TExN69OhBRESETvuIiAi6du2KqakpmZmZtG/fntq1a3PkyBFCQ0MJDg4udJ6xY8cSHh5OYmIibm5ujB49mg0bNhAVFcXRo0dxcHDA29ub69evY2hoyKpVq4iKimLz5s3k5uby7rvv0rp1awYMGFCs2PKNGjWKkSNHcuzYMRo1aoSfnx/Xrl0rsAezZ8/m8OHDlC5dmgEDBqjP9u3bR9++ffnwww85ffo0S5YsITIykqlTp+qMERYWhr+/P8ePH8fX15fevXtz/fp1NBoNAwYMKDTWJk2a4ODgUOh+mZqaEhkZyenTp5k/fz5Lly5l7ty56vNt27bRuXNnfH19OXbsGLt376ZBgwbq86CgIA4cOMDatWs5fvw43bp1w8fHh99//53GjRszb948zMzMSEtLIy0tTf3ecnJymDx5MgkJCURHR5OSkqImfW1sbNiwYQMASUlJpKWlMX/+fIBHfp//Zg8yMzNp2rQpf/31F1u2bCEhIYHRo0eTl5enPvf19WX37t0cO3YMHx8f/Pz8SE1N1Rln1qxZ1KlTh2PHjjF+/HgA7ty5w6xZs1i5ciV79+4lNTW1yD+38+fPp1GjRgwaNEjdKxsbm0LbPm7cVatWMWHCBKZOnUpiYiLTpk1j/PjxREVFFToe3E+0Z2Rk6FxCCCGEEEIIIcSLRhLCQpSAtWvXcvToUaZPn/5E/YKDg2nXrh1OTk6EhYVx/vx59cTmwIED2blzp3rK8fLly2zfvl1NmK5evZq8vDyWL1+Oi4sL7du3Z9SoUYXOM2nSJFq3bk2NGjUwMDBg8eLFfPrpp7Rt25batWuzdOlSjIyMWL58OQB169ZlypQpDBw4kBEjRnD+/HmWLl2qjve42PIFBQXxzjvv4OzszOLFizE3N1fnyDd16lSaNm1K7dq1GTt2LL/88gt3794F7id6x44dS79+/ahevTqtW7dm8uTJLFmyRGeMgIAAevbsiYODA9OmTSMzM5Nff/1VfZaUlKR+zsnJYfXq1QVifdAnn3xC48aNsbe3x8/Pj+DgYNavX68Tc48ePQgLC8PZ2Zk6deoQEhICQGpqKhEREXzzzTe8/fbb1KhRg+DgYN566y0iIiLQ19fH3NwcjUaDtbU11tbWaLVaAAYMGEDbtm2pXr06DRs2ZMGCBXz//fdkZmaip6eHpaUlABUrVsTa2hpzc3Nu37792O/zSfdg9erVXLlyhejoaN566y0cHBzw9/enUaNGANSpU4f333+fN954A0dHRyZPnkyNGjXUk9n5WrRowciRI6lRowY1atRQ5/7iiy/w9PTEw8ODoKAgdu/eXWgc5ubm6OvrY2xsrO6Vnp5eoW0fN+7EiROZPXs2Xbp0oVq1anTp0oWPPvqowJ+lB02fPh1zc3P1KioZLYQQQgghhBBClCRJCAvxnF24cIEPP/yQVatWYWhoWOD54MGD0Wq16vWgB2sNV6pUCUAtEdCgQQNcXFzUE4xff/01dnZ2NGnSBEA97fvgnPkJu4d5enqqPycnJ5OTk4OXl5d6r0yZMjRo0IDExET13siRI3FycmLhwoWsWLGCcuXKqc8eF1th8ZQuXRpPT0+dOR63BwkJCUyaNEln//JPi965c6fQMUxMTDAzM1PHqFy5Mu3atWPFihXA/VIPWVlZdOvWrdC9Ali3bh1eXl5qsvaTTz7ROf0aHx9Py5YtC+174sQJcnNzcXJy0ol7z549JCcnFzkn3C+f4efnh62tLaampjRt2hSgwMnbBxXn+3zSPYiPj8fd3V1NQD8sMzOT4OBgnJ2dsbCwQKvVkpiYWCDOB//c5TM2NlaTw3D/O8//rp7Go8a9ffs2ycnJBAYG6nwnU6ZMeeR3EhISQnp6unpduHDhqeMUQgghhBBCCCGeNXlTlBDP2ZEjR7h8+TIeHh7qvdzcXPbu3cvChQv566+/ivxP4suUKaP+rNFoANT/LB/un8T9/PPPGTt2LBEREfTv319t9yRMTEyeuM/ly5c5c+YMenp6/P777/j4+Og8f1axPWoPMjMzCQsLo0uXLgX6PZgIf3CM/HEe3sc+ffowd+5cIiIi6N69O8bGxoXGc+DAAXr37k1YWBje3t6Ym5uzdu1aZs+erbYxMjIqcj35p3mPHDlS4DTrw/8g8KDbt2/j7e2Nt7c3q1atokKFCqSmpuLt7U12dnaR/YrrSfbgUeuD+yfbd+3axaxZs3BwcMDIyIiuXbsWiLOwP3eFfVeKojzhagp61LiZmZkALF26lDfffFOnXVEnjgEMDAwwMDB46tiEEEIIIYQQQoj/kpwQFuI5a9myJSdOnCA+Pl69PD096d27N/Hx8VhZWeHg4KBeT+Ldd9/l/PnzLFiwgNOnT9OvXz/1mbOzM8ePH1fLKwAcPHjwsWPWqFEDfX19YmNj1Xs5OTnExcVRu3Zt9d6AAQNwdXUlKiqKMWPGFDjZ+6jYCovn3r17HDlyBGdn5+ItHvDw8CApKUln//KvUqWK/9edr68vJiYmLF68mB07djyyXMQvv/yCnZ0d48aNw9PTE0dHR86fP6/Txs3NrcgyB+7u7uTm5nL58uUCMVtbWwOgr69Pbm6uTr/ffvuNa9euER4ezttvv02tWrUKnJzV19cH0Olb3O/zSfbAzc2N+Ph4rl+/Xujz2NhYAgIC6Ny5M66urlhbW5OSklLkeE+jsL16UlZWVlSuXJk//vijwHdSrVq1ZxSpEEIIIYQQQghRMuSEsBDPmampKW+88YbOPRMTE8qVK1fg/pMqW7YsXbp0YdSoUbRp04aqVauqz3r16sW4ceMYNGgQISEhpKSkMGvWrMeOaWJiwpAhQxg1ahSWlpbY2toyc+ZM7ty5Q2BgIACff/45Bw4c4Pjx49jY2LBt2zZ69+7NwYMH1aTko2LL9/nnn+Po6IizszNz587lxo0bj0xEPmzChAm0b98eW1tbunbtSqlSpUhISODkyZNMmTKl2OPo6ekREBBASEgIjo6ORZbWAHB0dCQ1NZW1a9dSv359tm3bxqZNm3TaTJw4kZYtW1KjRg169OjBvXv32L59O2PGjMHJyYnevXvTt29fZs+ejbu7O1euXGH37t24ubnRrl077O3tyczMZPfu3dSpUwdjY2NsbW3R19fns88+Y/DgwZw8eZLJkyfrzGtnZ4dGo2Hr1q34+vpiZGSEVqt97Pf5pHvQs2dPpk2bRqdOnZg+fTqVKlXi2LFjVK5cmUaNGuHo6MjGjRvx8/NDo9Ewfvx4nRPZz5K9vT2HDh0iJSUFrVZbZBmLxwkLC2P48OGYm5vj4+NDVlYWhw8f5saNG3z88cfPOGohhHh+UsLblXQIQgghhBCihMkJYSFeMYGBgWRnZxdIpGq1Wr777jtOnDiBu7s748aNY8aMGcUaMzw8nHfeeYc+ffrg4eHB2bNn2blzJ2XLluW3335j1KhRLFq0SH2J1qJFi7h69Srjx48vVmwPzhMeHk6dOnXYv38/W7ZsoXz58sVeu7e3N1u3buWHH36gfv36NGzYkLlz52JnZ1fsMR6OtX///o9s16FDBz766COCgoKoW7cuv/zyS4F1N2vWjG+++YYtW7ZQt25dWrRoob6wDSAiIoK+ffsycuRIatasSadOnYiLi8PW1haAxo0bM3jwYLp3706FChWYOXMmFSpUIDIykm+++YbatWsTHh5eIMFfpUoV9UV7VlZWBAUFAY/+Pv/NHujr6/PDDz9QsWJFfH19cXV1JTw8XC2vMGfOHMqWLUvjxo3x8/PD29tbp2TKsxQcHIyenh61a9dWy2j8GwMHDmTZsmVERETg6upK06ZNiYyMlBPCQgghhBBCCCFeehrlWRRjFEK8MFauXMlHH33ExYsX1dO5L4qiYktJSaFatWocO3aMunXrllyAD9i3bx8tW7bkwoULWFlZlXQ4JUL24OlkZGRgbm5Oeno6ZmZmJR2OEEIIIYQQQohXXHF/D5WSEUK8Iu7cuUNaWhrh4eG8//77L1Qy+EWO7WFZWVlcuXKF0NBQunXr9lomQmUPhBBCCCGEEEKIV5eUjBDiFTFz5kxq1aqFtbU1ISEhJR2Ojhc5toetWbMGOzs7bt68ycyZM0s6nBIheyCEEEIIIYQQQry6pGSEEEK8gDQaDZs2baJTp04vZEmNZ+3B9f7XmjRpwuDBg+nVq1ex2p8+fZo2bdqQlJSEiYlJseeRkhFCCCGEEEIIIZ4nKRkhhHgtBAQEEBUVxfTp0xk7dqx6Pzo6ms6dO1PS/+bVrFkz6taty7x580o0jhddWlpagZfa/Re2bNnCpUuX6NGjBwDXr19n4sSJ/PDDD6SmplKhQgU6derE5MmTMTc3B6B27do0bNiQOXPmFHhhoBBCvGzsx24r6RBEEVLC25V0CEIIIYR4TUjJCCHES8/Q0JAZM2Zw48aNkg7ltZKdnf3MxrK2tsbAwOCZjVeUBQsW0L9/f0qVuv9/fxcvXuTixYvMmjWLkydPEhkZyY4dOwgMDNTp179/fxYvXsy9e/f+8xiFEEIIIYQQQoj/kiSEhRAvvVatWmFtbc306dOfqF9ycjIdO3bEysoKrVZL/fr1+fHHH3XaZGVlMWbMGGxsbDAwMMDBwYHly5erz0+ePEnbtm3RarVYWVnRp08frl69Ctw/vbxnzx7mz5+PRqNBo9Fw7tw5HBwcmDVrls488fHxaDQazp49+9i4c3NzGTBgALVq1WLv3r2UKlWKw4cP67SZN28ednZ25OXlERMTg0ajYffu3Xh6emJsbEzjxo1JSkpS2wcEBBQo1zBixAiaNWumfm7WrBlBQUGMGDGC8uXL4+3t/dg9yO83fPhwRo8ejaWlJdbW1oSGhurMpdFoiI6OBiAlJQWNRsPGjRtp3rw5xsbG1KlThwMHDuj02b9/P2+//TZGRkbY2NgwfPhwbt++XeS+XblyhZ9++gk/Pz/13htvvMGGDRvw8/OjRo0atGjRgqlTp/Ldd9/pJH9bt27N9evX2bNnT5HjCyGEEEIIIYQQLwNJCAshXnp6enpMmzaNzz77jD///LPY/TIzM/H19WX37t0cO3YMHx8f/Pz8SE1NVdv07duXNWvWsGDBAhITE1myZAlarRaAmzdv0qJFC9zd3Tl8+DA7duzg0qVL+Pv7AzB//nwaNWrEoEGDSEtLIy0tDVtbWwYMGEBERIROLBERETRp0gQHB4dHxpyVlUW3bt2Ij49n3759NGnShFatWhU6XkBAgHoSFmDcuHHMnj2bw4cPU7p0aQYMGFDsvcoXFRWFvr4+sbGxfPHFF4/dgwf7mZiYcOjQIWbOnMmkSZPYtWvXI+caN24cwcHBxMfH4+TkRM+ePdUkbXJyMj4+PrzzzjscP36cdevWsX//foKCgoocb//+/RgbG+Ps7PzIefNrLZUu/X9VlfT19albty779u0rsl9WVhYZGRk6lxBCCCGEEEII8aKRGsJCiFdC586dqVu3LhMnTtQ5wfsoderUoU6dOurnyZMns2nTJrZs2UJQUBBnzpxh/fr17Nq1i1atWgFQvXp1tf3ChQtxd3dn2rRp6r0VK1ZgY2PDmTNncHJyQl9fH2NjY6ytrdU2AQEBTJgwgV9//ZUGDRqQk5PD6tWrC5waflhmZibt2rUjKyuLn3/+Wa1xO3DgQAYPHsycOXMwMDDg6NGjnDhxgs2bN+v0nzp1Kk2bNgVg7NixtGvXjrt372JoaFis/QJwdHRk5syZ6ucpU6Y8dg8A3NzcmDhxojrGwoUL2b17N61bty5yruDgYNq1u19PMSwsDBcXF86ePUutWrWYPn06vXv3ZsSIEeqYCxYsoGnTpixevLjQNZ0/fx4rKyudJPnDrl69yuTJk3nvvfcKPKtcuTLnz58vsu/06dMJCwsr8rkQQgghhBBCCPEikBPCQohXxowZM4iKiiIxMbHAM61Wq16DBw8G7idYg4ODcXZ2xsLCAq1WS2JionpCOD4+Hj09PTWJ+rCEhAR+/vlnnbFr1aoF3D/BWpTKlSvTrl07VqxYAcB3332nnvx9lJ49e3L79m1++OEHNRkM0KlTJ/T09Ni0aRMAkZGRNG/eHHt7e53+bm5u6s+VKlUC4PLly4+c82H16tXT+VzcPXhw7vz5Hzf3o+JNSEggMjJSZ15vb2/y8vI4d+5coeP9888/j0x+Z2Rk0K5dO2rXrl2gpAWAkZERd+7cKbJ/SEgI6enp6nXhwoVHrk8IIYQQQgghhCgJckJYCPHKaNKkCd7e3oSEhBAQEKDzLD4+Xv3ZzMwMuH8CddeuXcyaNQsHBweMjIzo2rWr+rI0IyOjR86XmZmJn58fM2bMKPAsP4FZlIEDB9KnTx/mzp1LREQE3bt3x9jY+JF9fH19+frrrzlw4AAtWrRQ7+vr69O3b18iIiLo0qULq1evZv78+QX6lylTRv1Zo9EAkJeXB0CpUqVQFEWnfU5OToExTExMdD4Xdw8enDt//vy5i/KoeDMzM3n//fcZPnx4gX62traFjle+fPkiXzx469YtfHx8MDU1ZdOmTQXiBbh+/To1atQoMl4DA4Pn8mI8IYQQQgghhBDiaUhCWAjxSgkPD6du3brUrFlT535htXljY2MJCAigc+fOwP0kY0pKivrc1dWVvLw89uzZo5aMeJCHhwcbNmzA3t5ep97sg/T19cnNzS1w39fXFxMTExYvXsyOHTvYu3fvY9c2ZMgQ3njjDTp06MC2bdt0Ti4PHDiQN954g0WLFnHv3j26dOny2PEeVKFCBU6ePKlzLz4+vtDE6IOKswf/BQ8PD06fPv3YmssPcnd35++//+bGjRuULVtWvZ+RkYG3tzcGBgZs2bKlyFPEJ0+epGvXrk8duxBClKSU8HYlHYIQQgghhChhUjJCCPFKcXV1pXfv3ixYsOCxbR0dHdm4cSPx8fEkJCTQq1cvnVOr9vb29OvXjwEDBhAdHc25c+eIiYlh/fr1AAwbNozr16/Ts2dP4uLiSE5OZufOnfTv319NAtvb23Po0CFSUlK4evWqOr6enh4BAQGEhITg6OhIo0aNirW+Dz74gClTptC+fXv279+v3nd2dqZhw4aMGTOGnj17PvZ088NatGjB4cOH+eqrr/j999+ZOHFigQRxYYqzB/+FMWPG8MsvvxAUFER8fDy///47mzdvfuRL5dzd3SlfvjyxsbHqvYyMDNq0acPt27dZvnw5GRkZ/P333/z999868aekpPDXX38V+g8DQgghhBBCCCHEy0QSwkKIV86kSZMeW44AYM6cOZQtW5bGjRvj5+eHt7c3Hh4eOm0WL15M165dGTp0KLVq1WLQoEHcvn0buF8LODY2ltzcXNq0aYOrqysjRozAwsJCfXFZcHAwenp61K5dmwoVKqj1iQECAwPJzs6mf//+T7S+ESNGEBYWhq+vL7/88kuB8QYMGPBE4wF4e3szfvx4Ro8eTf369bl16xZ9+/Z9bL/i7MF/wc3NjT179nDmzBnefvtt3N3dmTBhApUrVy6yj56eHv3792fVqlXqvaNHj3Lo0CFOnDiBg4MDlSpVUq8HawCvWbOGNm3aYGdn95+tSQghhBBCCCGEeB40ysNFI4UQQjwX+/bto2XLlly4cAErK6unHm/y5Ml88803HD9+/BlE92r6+++/cXFx4ejRo8VO7mZnZ+Po6Mjq1avx8vIq9lwZGRmYm5uTnp6u1q0WQgghhBBCCCH+K8X9PVROCAshxHOWlZXFn3/+SWhoKN26dXvqZHBmZiYnT55k4cKFfPDBB88oyleTtbU1y5cv1zmp/Tipqan873//e6JksBBCCCGEEEII8aKShLAQ4pWWkpKCRqMhPj7+hRl3zZo12NnZcfPmTWbOnPnUcZiamuLh4UGzZs3+VbkIgNDQUOrWrftE8/4X+/okCos5NDQUKysrNBoN0dHRhfbr1KkTb7/9drHncXBw4P3333+KSIUQQgghhBBCiBeHJISFEC+N0NBQNBqNzlWrVq2SDuuJBQQEkJuby5EjR6hSpcpTjWVjY0NaWhp37txh3bp16OnpPaMoXz6JiYmEhYWxZMkS0tLSaNu2bbH6PSp5LIQQQgghhBBCvGpKl3QAQgjxJFxcXPjxxx/Vz6VLv5h/jSmKQm5u7n8en56eHtbW1v/pHC+L5ORkADp27IhGoynhaIQQ4sVjP3YbKeHtSjoMIYQQQghRwuSEsBDipVK6dGmsra3Vq3z58sXq98cff9C8eXOMjY2pU6cOBw4cAOD27duYmZnx7bff6rSPjo7GxMSEW7duAfDrr7/i7u6OoaEhnp6eHDt2TKd9TEwMGo2G77//nnr16mFgYMD+/fvJyspi+PDhVKxYEUNDQ9566y3i4uIAuHv3Li4uLrz33nvqOMnJyZiamrJixYpixfZw6Yb8OHbv3o2npyfGxsY0btyYpKQknTHCw8OxsrLC1NSUwMBA7t69q/M8Ly+PSZMmUbVqVQwMDKhbty47dux45B6fPHmStm3botVqsbKyok+fPly9erXI9ufPn8fPz4+yZctiYmKCi4sL27dvByAyMhILC4sC6y4q0RsaGoqfnx8ApUqVUtvFxcXRunVrypcvj7m5OU2bNuXo0aNqP3t7ewA6d+6MRqNRPwNs3rwZDw8PDA0NqV69OmFhYdy7d++ReyCEEEIIIYQQQrzoJCEshHip/P7771SuXJnq1avTu3fvYr8cbNy4cQQHBxMfH4+TkxM9e/bk3r17mJiY0KNHDyIiInTaR0RE0LVrV0xNTcnMzKR9+/bUrl2bI0eOEBoaSnBwcKHzjB07lvDwcBITE3Fzc2P06NFs2LCBqKgojh49ioODA97e3ly/fh1DQ0NWrVpFVFQUmzdvJjc3l3fffZfWrVszYMCAYsX2qPXOnj2bw4cPU7p0aZ3awuvXryc0NJRp06Zx+PBhKlWqxKJFi3T6z58/n9mzZzNr1iyOHz+Ot7c3HTp04Pfffy90vps3b9KiRQvc3d05fPgwO3bs4NKlS/j7+xcZ47Bhw8jKymLv3r2cOHGCGTNmoNVqi2z/KMHBweo+paWlkZaWBsCtW7fo168f+/fv5+DBgzg6OuLr66sm+vOT8xEREaSlpamf9+3bR9++ffnwww85ffo0S5YsITIykqlTp/6r+IQQQgghhBBCiBeGIoQQL4nt27cr69evVxISEpQdO3YojRo1UmxtbZWMjIwi+5w7d04BlGXLlqn3Tp06pQBKYmKioiiKcujQIUVPT0+5ePGioiiKcunSJaV06dJKTEyMoiiKsmTJEqVcuXLKP//8o46xePFiBVCOHTumKIqi/PzzzwqgREdHq20yMzOVMmXKKKtWrVLvZWdnK5UrV1Zmzpyp3ps5c6ZSvnx5JSgoSKlUqZJy9epV9dnjYstf38Nx/Pjjj+oY27ZtUwA1/kaNGilDhw7V2ac333xTqVOnjvq5cuXKytSpU3Xa1K9fX+338LyTJ09W2rRpo9P+woULCqAkJSUphXF1dVVCQ0MLfRYREaGYm5vr3Nu0aZPy4P9tTZw4USfmh58XJjc3VzE1NVW+++479R6gbNq0Saddy5YtlWnTpuncW7lypVKpUqUix757966Snp6uXvnrT09Pf2RMQgjxvNiN2VrSIQghhBBCiP9Qenp6sX4PlRPCQoiXRtu2benWrRtubm54e3uzfft2bt68yfr16wEYPHgwWq1WvR7k5uam/lypUiUALl++DECDBg1wcXEhKioKgK+//ho7OzuaNGkCoJ72NTQ0VMdo1KhRoTF6enqqPycnJ5OTk4OXl5d6r0yZMjRo0IDExET13siRI3FycmLhwoWsWLGCcuXKqc8eF1tRHrXexMRE3nzzTZ32D64nIyODixcv6sQN4OXlpRP3gxISEvj555919j//hX/5tX0fNnz4cKZMmYKXlxcTJ07k+PHjj1zTv3Hp0iUGDRqEo6Mj5ubmmJmZkZmZ+diT5QkJCUyaNElnPYMGDVJf4FeY6dOnY25url42NjbPfD1CCCGEEEIIIcTTkoSwEOKlZWFhgZOTE2fPngVg0qRJxMfHq9eDypQpo/6cX182Ly9PvTdw4EAiIyOB++UD+vfv/69eTGZiYvLEfS5fvsyZM2fQ09MrtCTDv4ntcet91jIzM/Hz89PZ//j4eH7//fcik9cDBw7kjz/+oE+fPpw4cQJPT08+++wz4H4dYEVRdNrn5OQ8cVz9+vUjPj6e+fPn88svvxAfH0+5cuXIzs5+7HrCwsJ01nLixAl+//13nX8YeFBISAjp6enqdeHChSeOVwghhBBCCCGE+K9JQlgI8dLKzMwkOTlZPQFbsWJFHBwc1OtJvPvuu5w/f54FCxZw+vRp+vXrpz5zdnbm+PHjOi9eO3jw4GPHrFGjBvr6+sTGxqr3cnJyiIuLo3bt2uq9AQMG4OrqSlRUFGPGjClwCvdRsf0bzs7OHDp0SOfeg+sxMzOjcuXKOnEDxMbG6sT9IA8PD06dOoW9vb3Od+Dg4PDIJLmNjQ2DBw9m48aNjBw5kqVLlwJQoUIFbt26xe3bt9W2Dyf5iyM2Npbhw4fj6+uLi4sLBgYGBV50V6ZMGXJzcwusJykpqcBaHBwcKFWq8P/rNDAwwMzMTOcSQgghhBBCCCFeNJIQFkK8NIKDg9mzZw8pKSn88ssvdO7cGT09PXr27PnUY5ctW5YuXbowatQo2rRpQ9WqVdVnvXr1QqPRMGjQIE6fPs327duZNWvWY8c0MTFhyJAhjBo1ih07dnD69GkGDRrEnTt3CAwMBODzzz/nwIEDREVF0bt3bzp16kTv3r11TrA+KrZ/48MPP2TFihVERERw5swZJk6cyKlTp3TajBo1ihkzZrBu3TqSkpIYO3Ys8fHxfPjhh4WOOWzYMK5fv07Pnj2Ji4sjOTmZnTt30r9//wLJ1nwjRoxg586dnDt3jqNHj/Lzzz/j7OwMwJtvvomxsTH/+9//SE5OZvXq1eop6Sfh6OjIypUrSUxM5NChQ/Tu3RsjIyOdNvb29uzevZu///6bGzduADBhwgS++uorwsLCOHXqFImJiaxdu5ZPPvnkiWMQQogXRUp4u5IOQQghhBBCvAAkISyEeGn8+eef9OzZk5o1a+Lv70+5cuU4ePAgFSpUeCbjBwYGkp2dzYABA3Tua7VavvvuO06cOIG7uzvjxo1jxowZxRozPDycd955hz59+uDh4cHZs2fZuXMnZcuW5bfffmPUqFEsWrRIrTe7aNEirl69yvjx44sV27/RvXt3xo8fz+jRo6lXrx7nz59nyJAhOm2GDx/Oxx9/zMiRI3F1dWXHjh1s2bIFR0fHQsfMP1Gcm5tLmzZtcHV1ZcSIEVhYWBR5ojY3N5dhw4bh7OyMj48PTk5OLFq0CABLS0u+/vprtm/fjqurK2vWrCE0NPSJ17p8+XJu3LiBh4cHffr0Yfjw4VSsWFGnzezZs9m1axc2Nja4u7sD4O3tzdatW/nhhx+oX78+DRs2ZO7cudjZ2T1xDEIIIYQQQgghxItEozxcpFEIIV5TK1eu5KOPPuLixYvo6+uXdDg6XuTYROEyMjIwNzcnPT1dykcIIYQQQgghhPjPFff30NLPMSYhhHgh3blzh7S0NMLDw3n//fdfqITrixybEEIIIYQQQgghXj5SMkII8dqbOXMmtWrVwtrampCQkJIOR8eLHJsQQgghhBBCCCFePpIQFkK8ElJSUtBoNMTHxz9x39DQUHJycti9ezdarfaZjfssPCq2h8XExKDRaLh58+bzCe4RNBoN0dHRJR2GEEIIIYQQQgghHiIJYSHEC2f69OnUr18fU1NTKlasSKdOnUhKSirpsMQLLDIyEgsLiyfu9yIl0YUQQgghhBBCiOdBEsJCiBfOnj17GDZsGAcPHmTXrl3k5OTQpk0bbt++XdKhFaAoCvfu3SvpMIQQQohisR+7Tb2EEEIIIcTrSRLCQogXzo4dOwgICMDFxYU6deoQGRlJamoqR44ceWzfP/74g+bNm2NsbEydOnU4cOAAALdv38bMzIxvv/1Wp310dDQmJibcunULgF9//RV3d3cMDQ3x9PTk2LFjOu3zT5R+//331KtXDwMDA/bv309WVhbDhw+nYsWKGBoa8tZbbxEXFwfA3bt3cXFx4b333lPHSU5OxtTUlBUrVhQrtvzSFWvXrqVx48YYGhryxhtvsGfPngJ7cOTIETw9PTE2NqZx48YFTldv3rwZDw8PDA0NqV69OmFhYTpJbY1Gw7Jly+jcuTPGxsY4OjqyZcsW4H4C3MHBgVmzZumMGR8fj0aj4ezZs4V+L2PGjMHJyQljY2OqV6/O+PHjycnJ0Wnz3XffUb9+fQwNDSlfvjydO3dWn2VlZREcHEyVKlUwMTHhzTffJCYmRv1O+vfvT3p6OhqNBo1GQ2hoKAArV67E09MTU1NTrK2t6dWrF5cvXwbulwNp3rw5AGXLlkWj0RAQEABAXl4e06dPp1q1ahgZGVGnTp0C348QQgghhBBCCPEykoSwEOKFl56eDoClpeVj244bN47g4GDi4+NxcnKiZ8+e3Lt3DxMTE3r06EFERIRO+4iICLp27YqpqSmZmZm0b9+e2rVrc+TIEUJDQwkODi50nrFjxxIeHk5iYiJubm6MHj2aDRs2EBUVxdGjR3FwcMDb25vr169jaGjIqlWriIqKYvPmzeTm5vLuu+/SunVrBgwYUKzY8o0aNYqRI0dy7NgxGjVqhJ+fH9euXSuwB7Nnz+bw4cOULl2aAQMGqM/27dtH3759+fDDDzl9+jRLliwhMjKSqVOn6owRFhaGv78/x48fx9fXl969e3P9+nU0Gg0DBgwoNNYmTZrg4OBQ6H6ZmpoSGRnJ6dOnmT9/PkuXLmXu3Lnq823bttG5c2d8fX05duwYu3fvpkGDBurzoKAgDhw4wNq1azl+/DjdunXDx8eH33//ncaNGzNv3jzMzMxIS0sjLS1N/d5ycnKYPHkyCQkJREdHk5KSoiZ9bWxs2LBhAwBJSUmkpaUxf/584H7Zkq+++oovvviCU6dO8dFHH/Huu+8WmoAXQgghhBBCCCFeKooQQrzAcnNzlXbt2ileXl6PbHfu3DkFUJYtW6beO3XqlAIoiYmJiqIoyqFDhxQ9PT3l4sWLiqIoyqVLl5TSpUsrMTExiqIoypIlS5Ry5cop//zzjzrG4sWLFUA5duyYoiiK8vPPPyuAEh0drbbJzMxUypQpo6xatUq9l52drVSuXFmZOXOmem/mzJlK+fLllaCgIKVSpUrK1atX1WePiy1/feHh4WqfnJwcpWrVqsqMGTN0Yvvxxx/VNtu2bVMAdU0tW7ZUpk2bprN3K1euVCpVqqR+BpRPPvlEZ32A8v333yuKoih//fWXoqenpxw6dEhda/ny5ZXIyEidMTZt2qQU5dNPP1Xq1aunfm7UqJHSu3fvQtueP39e0dPTU/766y+d+y1btlRCQkIURVGUiIgIxdzcvMj58sXFxSmAcuvWLUVR/m/Pbty4oba5e/euYmxsrPzyyy86fQMDA5WePXsWOfbdu3eV9PR09bpw4YICKOnp6Y+NSwghnhe7MVvVSwghhBBCvFrS09OL9XuonBAWQrzQhg0bxsmTJ1m7dq16b/DgwWi1WvV6kJubm/pzpUqVANQSAQ0aNMDFxYWoqCgAvv76a+zs7GjSpAmAetrX0NBQHaNRo0aFxuXp6an+nJycTE5ODl5eXuq9MmXK0KBBAxITE9V7I0eOxMnJiYULF7JixQrKlSunPntcbIXFU7p0aTw9PXXmeNweJCQkMGnSJJ39GzRoEGlpady5c6fQMUxMTDAzM1PHqFy5Mu3atWPFihXA/VIPWVlZdOvWrdC9Ali3bh1eXl5YW1uj1Wr55JNPSE1NVZ/Hx8fTsmXLQvueOHGC3NxcnJycdOLes2cPycnJRc4J98tn+Pn5YWtri6mpKU2bNgXQmfthZ8+e5c6dO7Ru3Vpnvq+++uqR802fPh1zc3P1srGxeWRsQgghhBBCCCFESShd0gEIIURRgoKC2Lp1K3v37qVq1arq/UmTJhVZyqFMmTLqzxqNBrhfDzbfwIED+fzzzxk7diwRERH0799fbfckTExMnrjP5cuXOXPmDHp6evz+++/4+PjoPH9WsT1qDzIzMwkLC6NLly4F+j2YCH9wjPxxHt7HPn36MHfuXCIiIujevTvGxsaFxnPgwAF69+5NWFgY3t7emJubs3btWmbPnq22MTIyKnI9mZmZ6OnpceTIEfT09HSePfwPAg+6ffs23t7eeHt7s2rVKipUqEBqaire3t5kZ2c/cj64X8aiSpUqOs8MDAyK7BcSEsLHH3+sfs7IyJCksBBCCCGEEEKIF44khIUQLxxFUfjggw/YtGkTMTExVKtWTed5xYoVqVix4r8a+91332X06NEsWLCA06dP069fP/WZs7MzK1eu5O7du2py9ODBg48ds0aNGujr6xMbG4udnR1wv3ZtXFwcI0aMUNsNGDAAV1dXAgMDGTRoEK1atcLZ2blYseU7ePCgemr43r17HDlyhKCgoGKv38PDg6SkpCJr/RaXr68vJiYmLF68mB07drB3794i2/7yyy/Y2dkxbtw49d758+d12ri5ubF792769+9foL+7uzu5ublcvnyZt99+u9A59PX1yc3N1bn322+/ce3aNcLDw9XE7OHDhwv0A3T61q5dGwMDA1JTU9UTxcVhYGDwyISxEEIIIYQQQgjxIpCEsBDihTNs2DBWr17N5s2bMTU15e+//wbA3Nz8kSdJi6Ns2bJ06dKFUaNG0aZNG52Tx7169WLcuHEMGjSIkJAQUlJSmDVr1mPHNDExYciQIYwaNQpLS0tsbW2ZOXMmd+7cITAwEIDPP/+cAwcOcPz4cWxsbNi2bRu9e/fm4MGDalLyUbHl+/zzz3F0dMTZ2Zm5c+dy48YNnZfGPc6ECRNo3749tra2dO3alVKlSpGQkMDJkyeZMmVKscfR09MjICCAkJAQHB0diyytAeDo6Ehqaipr166lfv36bNu2jU2bNum0mThxIi1btqRGjRr06NGDe/fusX37dsaMGYOTkxO9e/emb9++zJ49G3d3d65cucLu3btxc3OjXbt22Nvbk5mZye7du6lTpw7GxsbY2tqir6/PZ599xuDBgzl58iSTJ0/WmdfOzg6NRsPWrVvx9fXFyMgIU1NTgoOD+eijj8jLy+Ott94iPT2d2NhYzMzMCk3UCyHEyyIlvF1JhyCEEEIIIUra8ylpLIQQxQcUekVERBTZJ/+la/kvf1MURblx44YCKD///LNO2927dyuAsn79+gLjHDhwQKlTp46ir6+v1K1bV9mwYUOhL5V78CVkiqIo//zzj/LBBx8o5cuXVwwMDBQvLy/l119/VRRFURITExUjIyNl9erVOrHZ2Ngoo0ePLlZs+etbvXq10qBBA0VfX1+pXbu28tNPP6ltCovt2LFjCqCcO3dOvbdjxw6lcePGipGRkWJmZqY0aNBA+fLLL9XnFPJCOHNz8wL7n5ycrAA6L84raoxRo0Yp5cqVU7RardK9e3dl7ty5BV4Ct2HDBqVu3bqKvr6+Ur58eaVLly7qs+zsbGXChAmKvb29UqZMGaVSpUpK586dlePHj6ttBg8erJQrV04BlIkTJyqKoiirV69W7O3tFQMDA6VRo0bKli1bCvw5mTRpkmJtba1oNBqlX79+iqIoSl5enjJv3jylZs2aSpkyZZQKFSoo3t7eyp49ewqstSjFLeYvhBBCCCGEEEI8C8X9PVSjKIryPBPQQghR0lauXMlHH33ExYsX1dO5L4qiYktJSaFatWocO3aMunXrllyAD9i3bx8tW7bkwoULWFlZlXQ4L5yMjAzMzc1JT0/HzMyspMMRQgghhBBCCPGKK+7voVIyQgjx2rhz5w5paWmEh4fz/vvvv1DJ4Bc5todlZWVx5coVQkND6datmySDhRBCCCGEEEKIl0ipkg5ACCGel5kzZ1KrVi2sra0JCQkp6XB0vMixPWzNmjXY2dlx8+ZNZs6cWdLhCCGEEEIIIYQQ4glIyQghhBDF0qxZM+rWrcu8efMKfa7RaNi0aROdOnV6rnE9TmRkJCNGjODmzZvPdV4pGSGEEEIIIYQQ4nkq7u+hckJYCCHEM5GWlkbbtm2L1Vaj0RAdHf3fBvT/de/enTNnzjyXuYQQQgghhBBCiBed1BAWQgjxTFhbW5d0CIUyMjLCyMiopMMQQogXgv3YbSUdwkstJbxdSYcghBBCCPHU5ISwEEKIYsvLy2P06NFYWlpibW1NaGio+uzBU7/Z2dkEBQVRqVIlDA0NsbOzY/r06QDY29sD0LlzZzQajfo5OTmZjh07YmVlhVarpX79+vz4448689vb2zNlyhT69u2LVqvFzs6OLVu2cOXKFTp27IhWq8XNzY3Dhw+rfSIjI7GwsFA/h4aGUrduXVauXIm9vT3m5ub06NGDW7du6axz+vTpVKtWDSMjI+rUqcO333777DZSCCGEEEIIIYQoIZIQFkIIUWxRUVGYmJhw6NAhZs6cyaRJk9i1a1eBdgsWLGDLli2sX7+epKQkVq1apSZ+4+LiAIiIiCAtLU39nJmZ+f/au/Pwmq72/+Pvk5B5NCVBiCEIEpIaipppTGmpoUhJTKWlpsaQqnkKpYaqVg2JKtXnaVGlVaRopYYYYqg8hrQRrRQ1JEIbJOf3h6/zc0hIFAk+r+va13XO3mutfa+9WuS23JtWrVoRHR3N/v37adGiBUFBQSQlJZmNPWvWLOrVq8f+/ftp3bo13bp1o3v37rz22mvs27ePcuXK0b17d+5VIj8hIYE1a9awbt061q1bx7Zt24iIiDBdnzp1Kp9++ikff/wxv/zyC0OGDOG1115j27Zt//YRioiIiIiIiOQplYwQEZEc8/PzY+zYsQB4e3szb948oqOjad68uVm7pKQkvL29eeGFFzAYDJQuXdp0rWjRogC4uLiYlZmoVq0a1apVM32fOHEiq1evZu3atQwYMMB0vlWrVvTt2xeAMWPG8NFHH1GzZk06duwIwIgRI6hTpw5nzpzJtoxFZmYmUVFRODo6AtCtWzeio6OZPHky6enpTJkyhc2bN1OnTh0AypYty/bt21mwYAENGzbMcsz09HTS09NN31NTU+/1KEVERERERETyhHYIi4hIjvn5+Zl99/Dw4OzZs3e1Cw0NJS4ujooVKzJw4EA2btx437HT0tIICwvDx8cHFxcXHBwciI+Pv2uH8O0xuLm5AeDr63vXuaziusXLy8uUDL5zHidOnODq1as0b94cBwcH0/Hpp5+SkJCQ7ZhTp07F2dnZdHh6et53ziIiIiIiIiKPm3YIi4hIjhUsWNDsu8FgIDMz8652AQEB/Pbbb3z33Xds3ryZTp060axZs3vW4Q0LC2PTpk3MmDGD8uXLY2trS4cOHbh27Vq2MRgMhmzPZRVXTuaRlpYGwPr16ylRooRZO2tr62zHDA8PZ+jQoabvqampSgqLiIiIiIhIvqOEsIiIPBJOTk68+uqrvPrqq3To0IEWLVpw4cIFChUqRMGCBcnIyDBrHxMTQ2hoKO3atQNuJmYTExMfe9yVK1fG2tqapKSkbMtDZMXa2vqeCWMRERERERGR/EAJYREReejef/99PDw88Pf3x8LCgv/+97+4u7vj4uIC3CzZEB0dTb169bC2tsbV1RVvb29WrVpFUFAQBoOB0aNH33OX76Pi6OhIWFgYQ4YMITMzkxdeeIGUlBRiYmJwcnIiJCTkscckIvKwJEa0zusQRERERCSPqYawiIg8dI6OjkyfPp0aNWpQs2ZNEhMT+fbbb7GwuPnbzsyZM9m0aROenp74+/sDN5PIrq6u1K1bl6CgIAIDAwkICMiT+CdOnMjo0aOZOnUqPj4+tGjRgvXr11OmTJk8iUdERERERETkYTEYjUZjXgchIiLytElNTcXZ2ZmUlBScnJzyOhwRERERERF5yuX051DtEBYRERERERERERF5RighLCIiIiIiIiIiIvKMUEJYRJ4KiYmJGAwG4uLinohxH4WtW7diMBi4dOlSXoeCwWBgzZo1eR2GiIiIiIiIiNxBCWERyfciIiIwGAwMHjw4r0ORfCoqKgoXF5dc98tPSXQRERERERGRx6FAXgcgInIvsbGxLFiwAD8/v7wOJUtGo5GMjAwKFNAvpyIikv95jVyf1yE8lRIjWud1CCIiIiI5ph3CIpJvpaWlERwczMKFC3F1dc1Rn19//ZXGjRtjZ2dHtWrV2LFjBwBXrlzBycmJL7/80qz9mjVrsLe35/LlywDs3r0bf39/bGxsqFGjBvv37zdrf2tH6Xfffcdzzz2HtbU127dvJz09nYEDB1KsWDFsbGx44YUXiI2NBeCff/6hSpUqvP7666ZxEhIScHR0ZMmSJTmK7VbpipUrV1K3bl1sbGyoWrUq27Ztu+sZ7N27lxo1amBnZ0fdunU5evSo2fWvv/6agIAAbGxsKFu2LOPHj+fGjRum6waDgUWLFtGuXTvs7Ozw9vZm7dq1wM0EePny5ZkxY4bZmHFxcRgMBk6cOJHluowYMYIKFSpgZ2dH2bJlGT16NNevXzdr880331CzZk1sbGwoUqQI7dq1M11LT08nLCyMEiVKYG9vT+3atdm6datpTXr06EFKSgoGgwGDwcC4ceMAWLZsGTVq1MDR0RF3d3e6du3K2bNngZvlQBo3bgyAq6srBoOB0NBQADIzM5k6dSplypTB1taWatWq3bU+IiIiIiIiIk8iJYRFJN/q378/rVu3plmzZjnuM2rUKMLCwoiLi6NChQp06dKFGzduYG9vT+fOnYmMjDRrHxkZSYcOHXB0dCQtLY02bdpQuXJl9u7dy7hx4wgLC8vyPiNHjiQiIoL4+Hj8/PwYPnw4X331FUuXLmXfvn2UL1+ewMBALly4gI2NDcuXL2fp0qV8/fXXZGRk8Nprr9G8eXN69uyZo9huGTZsGG+//Tb79++nTp06BAUFcf78+buewcyZM9mzZw8FChSgZ8+epms//fQT3bt3Z9CgQRw5coQFCxYQFRXF5MmTzcYYP348nTp14uDBg7Rq1Yrg4GAuXLiAwWCgZ8+eWcbaoEEDypcvn+XzcnR0JCoqiiNHjjBnzhwWLlzIrFmzTNfXr19Pu3btaNWqFfv37yc6OppatWqZrg8YMIAdO3awcuVKDh48SMeOHWnRogXHjx+nbt26zJ49GycnJ5KTk0lOTjat2/Xr15k4cSIHDhxgzZo1JCYmmpK+np6efPXVVwAcPXqU5ORk5syZA8DUqVP59NNP+fjjj/nll18YMmQIr732WpYJ+FvS09NJTU01O0RERERERETyG4PRaDTmdRAiIndauXIlkydPJjY2FhsbGxo1akT16tWZPXt2lu0TExMpU6YMixYtolevXgAcOXKEKlWqEB8fT6VKldi9ezd169bl1KlTeHh4cPbsWUqUKMHmzZtp2LAhn3zyCe+88w6///47NjY2AHz88ce88cYb7N+/n+rVq7N161YaN27MmjVrePnll4Gbu49dXV2Jioqia9euwM1EpJeXF4MHD2bYsGEAvPfee0yfPp3OnTvz1VdfcejQIQoXLgxw39huzS8iIoIRI0YAcOPGDcqUKcNbb73F8OHDTbFt3ryZpk2bAvDtt9/SunVr/v77b2xsbGjWrBlNmzYlPDzc9Ow+++wzhg8fzunTp4GbO4TfffddJk6caJqfg4MD3333HS1atOD06dOUKlWKn3/+mVq1anH9+nWKFy/OjBkzCAkJMY2xevVq2rZtm+V6zZgxg5UrV7Jnzx4A6tatS9myZfnss8/uapuUlETZsmVJSkqiePHipvPNmjWjVq1aTJkyhaioKAYPHnzfWsB79uyhZs2aXL58GQcHB9Mzu3jxoqkGcXp6OoUKFWLz5s3UqVPH1Ld3795cvXqVFStWZDn2uHHjGD9+/F3nU1JScHJyumdcIiKPi0pGPBoqGSEiIiL5QWpqKs7Ozvf9OVQ7hEUk3zl16hSDBg1i+fLlpsTs7fr164eDg4PpuN3ttYY9PDwATCUCatWqRZUqVVi6dClwMxFaunRpGjRoAGDa7Xv7PW9PCN6uRo0aps8JCQlcv36devXqmc4VLFiQWrVqER8fbzr39ttvU6FCBebNm8eSJUtMyeCcxJZVPAUKFKBGjRpm97jfMzhw4AATJkwwe359+vQhOTmZq1evZjmGvb09Tk5OpjGKFy9O69atWbJkCXCz1EN6ejodO3bM8lkBfPHFF9SrVw93d3ccHBx49913SUpKMl2Pi4szJbHvdOjQITIyMqhQoYJZ3Nu2bSMhISHbe8LN8hlBQUGUKlUKR0dHGjZsCGB27zudOHGCq1ev0rx5c7P7ffrpp/e8X3h4OCkpKabj1KlT94xNREREREREJC/oLUgiku/s3buXs2fPEhAQYDqXkZHBjz/+yLx58/jjjz+yLeVQsGBB02eDwQDcrAd7S+/evfnwww8ZOXIkkZGR9OjRw9QuN+zt7XPd5+zZsxw7dgxLS0uOHz9OixYtzK4/rNju9QzS0tIYP348r7zyyl39bk+E3z7GrXHufI7dunVj1qxZREZG8uqrr2JnZ5dlPDt27CA4OJjx48cTGBiIs7MzK1euZObMmaY2tra22c4nLS0NS0tL9u7di6Wlpdm1O/9C4HZXrlwhMDCQwMBAli9fTtGiRUlKSiIwMJBr167d835ws4xFiRIlzK5ZW1tn28/a2vqe10VERERERETyAyWERSTfadq0KYcOHTI716NHDypVqsSIESNwc3PDzc3tgcZ+7bXXGD58OHPnzuXIkSOmEgcAPj4+LFu2jH/++ceUHN25c+d9xyxXrhxWVlbExMRQunRp4GbJiNjYWAYPHmxq17NnT3x9fenVqxd9+vShWbNm+Pj45Ci2W3bu3GnaNXzjxg327t3LgAEDcjz/gIAAjh49mm2t35xq1aoV9vb2fPTRR2zYsIEff/wx27Y///wzpUuXZtSoUaZzJ0+eNGvj5+dHdHQ0PXr0uKu/v78/GRkZnD17lvr162d5DysrKzIyMszO/e9//+P8+fNERETg6ekJYCpRcXs/wKxv5cqVsba2JikpybSjWERERERERORpoYSwiOQ7jo6OVK1a1eycvb09hQsXvut8brm6uvLKK68wbNgwXnzxRUqWLGm61rVrV0aNGkWfPn0IDw8nMTGRGTNm3HdMe3t73njjDYYNG0ahQoUoVaoU06dP5+rVq6Z6xh9++CE7duzg4MGDeHp6sn79eoKDg9m5c6cpKXmv2G758MMP8fb2xsfHh1mzZnHx4kWzl8bdz5gxY2jTpg2lSpWiQ4cOWFhYcODAAQ4fPsykSZNyPI6lpSWhoaGEh4fj7e2dbWkNAG9vb5KSkli5ciU1a9Zk/fr1rF692qzN2LFjadq0KeXKlaNz587cuHGDb7/9lhEjRlChQgWCg4Pp3r07M2fOxN/fn3PnzhEdHY2fnx+tW7fGy8uLtLQ0oqOjqVatGnZ2dpQqVQorKys++OAD+vXrx+HDh011kW8pXbo0BoOBdevW0apVK2xtbXF0dCQsLIwhQ4aQmZnJCy+8QEpKCjExMTg5OWWZqBcReVKo1q2IiIiIqIawiDxzevXqxbVr1+5KpDo4OPDNN99w6NAh/P39GTVqFNOmTcvRmBEREbRv355u3boREBDAiRMn+P7773F1deV///sfw4YNY/78+aadqvPnz+evv/5i9OjROYrt9vtERERQrVo1tm/fztq1aylSpEiO5x4YGMi6devYuHEjNWvW5Pnnn2fWrFmmnc25cSvWrHb13u6ll15iyJAhDBgwgOrVq/Pzzz/fNe9GjRrx3//+l7Vr11K9enWaNGnC7t27TdcjIyPp3r07b7/9NhUrVqRt27bExsZSqlQp4OZL6fr168err75K0aJFmT59OkWLFiUqKor//ve/VK5cmYiIiLsS/CVKlGD8+PGMHDkSNzc3027riRMnMnr0aKZOnYqPjw8tWrRg/fr1lClTJtfPSURERERERCQ/MRiNRmNeByEi8jgtW7aMIUOGcPr0adPu3Pwiu9gSExMpU6YM+/fvp3r16nkX4G1++uknmjZtyqlTpx64hMfTLKdvdxURERERERF5GHL6c6hKRojIM+Pq1askJycTERFB375981UyOD/Hdqf09HTOnTvHuHHj6Nixo5LBIiIiIiIiIk8QlYwQkWfG9OnTqVSpEu7u7oSHh+d1OGbyc2x3+vzzzyldujSXLl1i+vTpeR2OiIiIiIiIiOSCEsIi8swYN24c169fJzo6GgcHhwceJzExEYPBQFxcHABbt27FYDBw6dIlAKKionBxcTG77/3KPNwvNi8vL4xGY7bjGAwG1qxZk/vJZONe44WGhpKRkcHevXspUaJEtmM0atSIwYMHP7SYsoqjbdu2pu9Go5HXX3+dQoUKma2PiIiIiIiIiPx/SgiLiOSSp6cnycnJVK1aNUftw8LCiI6OfsRRyYYNG4iKimLdunU5Xp87k/siIiIiIiIiTzvVEBYRySVLS0vc3d1z3N7BweFf7UiWnElISMDDw4O6devmdSgiIvmW18j1D3W8xIjWD3U8EREREXn0tENYRJ4an3zyCcWLFyczM9Ps/Msvv0zPnj2Bm0nDl19+GTc3NxwcHKhZsyabN282a+/l5cWUKVPo2bMnjo6OlCpVik8++cR0Pbe7SrMqGbFkyRKqVKmCtbU1Hh4eDBgwINv+sbGxNG/enCJFiuDs7EzDhg3Zt2/fPe/5+++/06VLFwoVKoS9vT01atRg165dpusfffQR5cqVw8rKiooVK7Js2bK7xvjrr79o164ddnZ2eHt7s3btWrPr27Zto1atWqY5jBw5khs3buTgidx04MABGjdujKOjI05OTjz33HPs2bMHyPqZzZ49Gy8vryzHCg0N5a233iIpKQmDwWBqt2HDBl544QVcXFwoXLgwbdq0ISEhwdSvTJkyAPj7+2MwGGjUqJHp2qJFi/Dx8cHGxoZKlSoxf/78HM9NREREREREJL9SQlhEnhodO3bk/PnzbNmyxXTuwoULbNiwgeDgYADS0tJo1aoV0dHR7N+/nxYtWhAUFERSUpLZWDNnzqRGjRrs37+fN998kzfeeIOjR48+lDg/+ugj+vfvz+uvv86hQ4dYu3Yt5cuXz7b95cuXCQkJYfv27ezcuRNvb29atWrF5cuXs2yflpZGw4YN+eOPP1i7di0HDhxg+PDhpkT56tWrGTRoEG+//TaHDx+mb9++9OjRw+y5AYwfP55OnTpx8OBBWrVqRXBwMBcuXADgjz/+oFWrVtSsWZMDBw7w0UcfsXjxYiZNmpTj5xAcHEzJkiWJjY1l7969jBw5koIFC+a4/+3mzJnDhAkTKFmyJMnJycTGxgJw5coVhg4dyp49e4iOjsbCwoJ27dqZnsXu3bsB2Lx5M8nJyaxatQqA5cuXM2bMGCZPnkx8fDxTpkxh9OjRLF26NNsY0tPTSU1NNTtERERERERE8huVjBCRp4arqystW7ZkxYoVNG3aFIAvv/ySIkWK0LhxYwCqVatGtWrVTH0mTpzI6tWrWbt2rdku3VatWvHmm28CMGLECGbNmsWWLVuoWLHiv45z0qRJvP322wwaNMh0rmbNmtm2b9Kkidn3Tz75BBcXF7Zt20abNm3uar9ixQrOnTtHbGwshQoVAjBLOM+YMYPQ0FDT/IYOHcrOnTuZMWOG6TnBzV23Xbp0AWDKlCnMnTuX3bt306JFC+bPn4+npyfz5s3DYDBQqVIlTp8+zYgRIxgzZgwWFvf/+8akpCSGDRtGpUqVAPD29r5vn+w4Ozvj6Oh4VzmP9u3bm7VbsmQJRYsW5ciRI1StWpWiRYsCULhwYbN+Y8eOZebMmbzyyivAzZ3ER44cYcGCBYSEhGQZw9SpUxk/fvwDz0FERERERETkcdAOYRF5qgQHB/PVV1+Rnp4O3Nzp2blzZ1OCMi0tjbCwMHx8fHBxccHBwYH4+Pi7dgj7+fmZPhsMBtzd3Tl79uy/ju/s2bOcPn3alLDOiTNnztCnTx+8vb1xdnbGycmJtLS0u2K+JS4uDn9/f1My+E7x8fHUq1fP7Fy9evWIj483O3f7M7C3t8fJycn0DOLj46lTpw4Gg8FsjLS0NH7//fcczWvo0KH07t2bZs2aERERYVbK4WE5fvw4Xbp0oWzZsjg5OZlKSWT37ODmruKEhAR69eplqv/s4ODApEmT7hljeHg4KSkppuPUqVMPezoiIiIiIiIi/5p2CIvIUyUoKAij0cj69eupWbMmP/30E7NmzTJdDwsLY9OmTcyYMYPy5ctja2tLhw4duHbtmtk4d5YuMBgMd9UmfhC2tra57hMSEsL58+eZM2cOpUuXxtramjp16twV87+5R1Ye1TO4Zdy4cXTt2pX169fz3XffMXbsWFauXEm7du2wsLDAaDSatb9+/Xqu7xEUFETp0qVZuHChqb501apVs312cPMvDQAWLlxI7dq1za5ZWlpm28/a2hpra+tcxygiIiIiIiLyOGmHsIg8VWxsbHjllVdYvnw5n3/+ORUrViQgIMB0PSYmhtDQUNq1a4evry/u7u4kJiY+tvgcHR3x8vIiOjo6x31iYmIYOHAgrVq1Mr2I7q+//sq2vZ+fH3FxcaZ6v3fy8fEhJibmrntUrlw5xzH5+PiwY8cOs6RtTEwMjo6OlCxZMsfjVKhQgSFDhrBx40ZeeeUVIiMjAShatCh//vmn2fg5fYnfLefPn+fo0aO8++67NG3aFB8fHy5evGjWxsrKCoCMjAzTOTc3N4oXL86vv/5K+fLlzY5bL6ETEREREREReVJph7CIPHWCg4Np06YNv/zyC6+99prZNW9vb1atWkVQUBAGg4HRo0c/1F2vOTFu3Dj69etHsWLFaNmyJZcvXyYmJoa33nory/be3t4sW7aMGjVqkJqayrBhw+65C7hLly5MmTKFtm3bMnXqVDw8PNi/fz/FixenTp06DBs2jE6dOuHv70+zZs345ptvWLVqFZs3b87xHN58801mz57NW2+9xYABAzh69Chjx45l6NChOaof/PfffzNs2DA6dOhAmTJl+P3334mNjTXV/G3UqBHnzp1j+vTpdOjQgQ0bNvDdd9/h5OSU4xhdXV0pXLgwn3zyCR4eHiQlJTFy5EizNsWKFcPW1pYNGzZQsmRJbGxscHZ2Zvz48QwcOBBnZ2datGhBeno6e/bs4eLFiwwdOjTHMYiI5DeJEa3zOgQRERERyWPaISwiT50mTZpQqFAhjh49SteuXc2uvf/++7i6ulK3bl2CgoIIDAw020H8OISEhDB79mzmz59PlSpVaNOmDcePH8+2/eLFi7l48SIBAQF069aNgQMHUqxYsWzbW1lZsXHjRooVK0arVq3w9fUlIiLCVO6gbdu2zJkzhxkzZlClShUWLFhAZGQkjRo1yvEcSpQowbfffsvu3bupVq0a/fr1o1evXrz77rs56m9pacn58+fp3r07FSpUoFOnTrRs2dL0UjYfHx/mz5/Phx9+SLVq1di9ezdhYWE5jg/AwsKClStXsnfvXqpWrcqQIUN47733zNoUKFCAuXPnsmDBAooXL87LL78MQO/evVm0aBGRkZH4+vrSsGFDoqKitENYREREREREnngG451FGkVERORfS01NxdnZmZSUlFztbBYRERERERF5EDn9OVQ7hEVERERERERERESeEUoIi4iIiIiIiIiIiDwjlBAWEXlChIaG0rZt2zwf40Ft3boVg8HApUuXsm0zbtw4qlev/lDvGxUVhYuLy0MdU0RERERERORJpYSwiMj/OXfuHG+88QalSpXC2toad3d3AgMDiYmJeaxxJCYmYjAYiIuLe6z3fZgaNWrE4MGDc90vLCyM6OjohxrLq6++yrFjxx7qmCIiIiIiIiJPqgJ5HYCISH7Rvn17rl27xtKlSylbtixnzpwhOjqa8+fP53VozwwHBwccHBwe6pi2trbY2to+1DFFRJ5UXiPX53UI+U5iROu8DkFERETksdIOYRER4NKlS/z0009MmzaNxo0bU7p0aWrVqkV4eDgvvfRSln1u7eT9z3/+Q/369bG1taVmzZocO3aM2NhYatSogYODAy1btuTcuXNmfRctWoSPjw82NjZUqlSJ+fPnm66VKVMGAH9/fwwGA40aNTLrO2PGDDw8PChcuDD9+/fn+vXrAEyYMIGqVaveFWf16tUZPXp0lnNo1KgRb731FoMHD8bV1RU3NzcWLlzIlStX6NGjB46OjpQvX57vvvvOrN/hw4dp2bIlDg4OuLm50a1bN/766y/gZlmKbdu2MWfOHAwGAwaDgcTERFPfvXv3UqNGDezs7Khbty5Hjx41XbuzZERmZiYTJkygZMmSWFtbU716dTZs2HDXGqxatYrGjRtjZ2dHtWrV2LFjh6nNnSUjbt1j2bJleHl54ezsTOfOnbl8+bLZfadOnUqZMmWwtbWlWrVqfPnll1k+QxEREREREZEniRLCIiL8/52pa9asIT09PVd9x44dy7vvvsu+ffsoUKAAXbt2Zfjw4cyZM4effvqJEydOMGbMGFP75cuXM2bMGCZPnkx8fDxTpkxh9OjRLF26FIDdu3cDsHnzZpKTk1m1apWp75YtW0hISGDLli0sXbqUqKgooqKiAOjZsyfx8fHExsaa2u/fv5+DBw/So0ePbONfunQpRYoUYffu3bz11lu88cYbdOzYkbp167Jv3z5efPFFunXrxtWrV4GbyfMmTZrg7+/Pnj172LBhA2fOnKFTp04AzJkzhzp16tCnTx+Sk5NJTk7G09PTdL9Ro0Yxc+ZM9uzZQ4ECBejZs2e2sc2ZM4eZM2cyY8YMDh48SGBgIC+99BLHjx83azdq1CjCwsKIi4ujQoUKdOnShRs3bmQ7bkJCAmvWrGHdunWsW7eObdu2ERERYbo+depUPv30Uz7++GN++eUXhgwZwmuvvca2bduyHTM9PZ3U1FSzQ0RERERERCS/UUJYRAQoUKAAUVFRLF26FBcXF+rVq8c777zDwYMH79s3LCyMwMBAfHx8GDRoEHv37mX06NHUq1cPf39/evXqxZYtW0ztx44dy8yZM3nllVcoU6YMr7zyCkOGDGHBggUAFC1aFIDChQvj7u5OoUKFTH1dXV2ZN28elSpVok2bNrRu3dpUc7dkyZIEBgYSGRlpah8ZGUnDhg0pW7ZstvFXq1aNd999F29vb8LDw7GxsaFIkSL06dMHb29vxowZw/nz503PYt68efj7+zNlyhQqVaqEv78/S5YsYcuWLRw7dgxnZ2esrKyws7PD3d0dd3d3LC0tTfebPHkyDRs2pHLlyowcOZKff/6Zf/75J8vYZsyYwYgRI+jcuTMVK1Zk2rRpVK9endmzZ9+1Bq1bt6ZChQqMHz+ekydPcuLEiWznnJmZSVRUFFWrVqV+/fp069bN9BzT09OZMmUKS5YsITAwkLJlyxIaGsprr71mWqOsTJ06FWdnZ9NxexJcREREREREJL9QQlhE5P+0b9+e06dPs3btWlq0aMHWrVsJCAggKiqKfv36mXYR31nj1s/Pz/TZzc0NAF9fX7NzZ8+eBeDKlSskJCTQq1cvs/EmTZpEQkLCfWOsUqWKWXLVw8PDNDZAnz59+Pzzz/nnn3+4du0aK1asuOcO3Dvjt7S0pHDhwnfFD5juc+DAAbZs2WIWf6VKlQByNIfb7+fh4WE29u1SU1M5ffo09erVMztfr1494uPjH2jMW7y8vHB0dDTrc6v9iRMnuHr1Ks2bNzeb46effnrP+YWHh5OSkmI6Tp06lW1bERERERERkbyil8qJiNzGxsaG5s2b07x5c0aPHk3v3r0ZO3YssbGxhIWFZdmnYMGCps8GgyHLc5mZmQCkpaUBsHDhQmrXrm02zu2J3uzcPu6dYwMEBQVhbW3N6tWrsbKy4vr163To0CHXY2Y1p9vnEBQUxLRp0+4a61YyNqf3u3PsB5XbMe/1HG+t0fr16ylRooRZO2tr62zHtLa2vud1ERERERERkfxACWERkXuoXLkya9asoVixYhQrVuxfj+fm5kbx4sX59ddfCQ4OzrKNlZUVABkZGbkev0CBAoSEhBAZGYmVlRWdO3fG1tb2X8V8p4CAAL766iu8vLwoUCDr30asrKweKP7bOTk5Ubx4cWJiYmjYsKHpfExMDLVq1fpXY99L5cqVsba2Jikpyey+IiIiIiIiIk8DJYRFRIDz58/TsWNHevbsiZ+fH46OjuzZs4fp06fz8ssvP9R7jR8/noEDB+Ls7EyLFi1IT09nz549XLx4kaFDh1KsWDFsbW3ZsGEDJUuWxMbGBmdn5xyP37t3b3x8fICbydOHrX///ixcuJAuXbowfPhwChUqxIkTJ1i5ciWLFi3C0tISLy8vdu3aRWJiIg4ODmZ1kHNj2LBhjB07lnLlylG9enUiIyOJi4tj+fLlD3lW/5+joyNhYWEMGTKEzMxMXnjhBVJSUoiJicHJyYmQkJBHdm8RkUctMaJ1XocgIiIiInlMCWEREcDBwYHatWsza9YsEhISuH79Op6envTp04d33nnnod6rd+/e2NnZ8d577zFs2DDs7e3x9fVl8ODBwM1dvnPnzmXChAmMGTOG+vXrs3Xr1hyP7+3tTd26dblw4cJdZSkehlu7dkeMGMGLL75Ieno6pUuXpkWLFlhY3CxNHxYWRkhICJUrV+bvv//mt99+e6B7DRw4kJSUFN5++23Onj1L5cqVWbt2Ld7e3g9zSneZOHEiRYsWZerUqfz666+4uLgQEBDw0P9bEBEREREREXncDEaj0ZjXQYiIyMNjNBrx9vbmzTffZOjQoXkdzjMrNTUVZ2dnUlJScHJyyutwRERERERE5CmX059DtUNYROQpcu7cOVauXMmff/5Jjx498jocEREREREREclnlBAWEXmKFCtWjCJFivDJJ5/g6uqa1+GIiIiIiIiISD5jkdcBiIg8SomJiRgMBuLi4p6Icf9tHEajkXPnztG1a9dcjTNu3DiqV6/+wPfNC1nFPG7cONzc3DAYDKxZsyZP4hIRERERERHJz5QQFpEnhpeXFwaD4a6jf//+eR1anvH09CQ5OZmqVavmdSh5Lj4+nvHjx7NgwQKSk5Np2bJljvopeSwiIiIiIiLPEpWMEJEnRmxsLBkZGabvhw8fpnnz5nTs2DEPo8qa0WgkIyODAgUe7S+zlpaWuLu7P9J7PCkSEhIAePnllzEYDHkcjYhI/uQ1cn1ehyDyQBIjWud1CCIiIk8N7RAWkSdG0aJFcXd3Nx3r1q2jXLlyNGzY8L59f/31Vxo3boydnR3VqlVjx44dAFy5cgUnJye+/PJLs/Zr1qzB3t6ey5cvA7B79278/f2xsbGhRo0a7N+/36z91q1bMRgMfPfddzz33HNYW1uzfft20tPTGThwIMWKFcPGxoYXXniB2NhYAP755x+qVKnC66+/bhonISEBR0dHlixZkqPY7izdcCuO6OhoatSogZ2dHXXr1uXo0aNmY0RERODm5oajoyO9evXin3/+MbuemZnJhAkTKFmyJNbW1lSvXp0NGzbc8xkfPnyYli1b4uDggJubG926deOvv/7Ktv3JkycJCgrC1dUVe3t7qlSpwrfffgtAVFQULi4ud807u0TvuHHjCAoKAsDCwsLULjY2lubNm1OkSBGcnZ1p2LAh+/btM/Xz8vICoF27dhgMBtN3gK+//pqAgABsbGwoW7Ys48eP58aNG/d8BiIiIiIiIiL5nRLCIvJEunbtGp999hk9e/bM0W7QUaNGERYWRlxcHBUqVKBLly7cuHEDe3t7OnfuTGRkpFn7yMhIOnTogKOjI2lpabRp04bKlSuzd+9exo0bR1hYWJb3GTlyJBEREcTHx+Pn58fw4cP56quvWLp0Kfv27aN8+fIEBgZy4cIFbGxsWL58OUuXLuXrr78mIyOD1157jebNm9OzZ88cxXav+c6cOZM9e/ZQoEABevbsabr2n//8h3HjxjFlyhT27NmDh4cH8+fPN+s/Z84cZs6cyYwZMzh48CCBgYG89NJLHD9+PMv7Xbp0iSZNmuDv78+ePXvYsGEDZ86coVOnTtnG2L9/f9LT0/nxxx85dOgQ06ZNw8HBIdv29xIWFmZ6TsnJySQnJwNw+fJlQkJC2L59Ozt37sTb25tWrVqZEv23kvORkZEkJyebvv/00090796dQYMGceTIERYsWEBUVBSTJ0/ONob09HRSU1PNDhEREREREZH8RiUjROSJtGbNGi5dukRoaGiO2oeFhdG69c1/ajh+/HiqVKnCiRMnqFSpEr1796Zu3bokJyfj4eHB2bNn+fbbb9m8eTMAK1asIDMzk8WLF2NjY0OVKlX4/fffeeONN+66z4QJE2jevDlwc/fxRx99RFRUlKme7cKFC9m0aROLFy9m2LBhVK9enUmTJtG7d286d+7MyZMnWbdunWm8+8WWncmTJ5t2To8cOZLWrVvzzz//YGNjw+zZs+nVqxe9evUCYNKkSWzevNlsl/CMGTMYMWIEnTt3BmDatGls2bKF2bNn8+GHH951v3nz5uHv78+UKVNM55YsWYKnpyfHjh2jQoUKd/VJSkqiffv2+Pr6AlC2bNl7zuleHBwcTDuKby+h0aRJE7N2n3zyCS4uLmzbto02bdpQtGhRAFxcXMz6jR8/npEjRxISEmKKbeLEiQwfPpyxY8dmGcPUqVMZP378A89BRERERERE5HHQDmEReSItXryYli1bUrx4cdO5fv364eDgYDpu5+fnZ/rs4eEBwNmzZwGoVasWVapUYenSpQB89tlnlC5dmgYNGgCYdvva2NiYxqhTp06WcdWoUcP0OSEhgevXr1OvXj3TuYIFC1KrVi3i4+NN595++20qVKjAvHnzWLJkCYULFzZdu19s2bnXfOPj46ldu7ZZ+9vnk5qayunTp83iBqhXr55Z3Lc7cOAAW7ZsMXv+lSpVMj2HrAwcOJBJkyZRr149xo4dy8GDB+85pwdx5swZ+vTpg7e3N87Ozjg5OZGWlkZSUtI9+x04cIAJEyaYzadPnz4kJydz9erVLPuEh4eTkpJiOk6dOvXQ5yMiIiIiIiLybykhLCJPnJMnT7J582Z69+5tdn7ChAnExcWZjtsVLFjQ9PlWiYnMzEzTud69exMVFQXcLB/Qo0ePB3oxmb29fa77nD17lmPHjmFpaZllSYYHie1+833Y0tLSCAoKMnv+cXFxHD9+PNvkde/evfn111/p1q0bhw4dokaNGnzwwQfAzTrARqPRrP3169dzHVdISAhxcXHMmTOHn3/+mbi4OAoXLsy1a9fuO5/x48ebzeXQoUMcP37c7C8GbmdtbY2Tk5PZISIiIiIiIpLfqGSEiDxxIiMjKVasmKkExC3FihWjWLFiDzTma6+9xvDhw5k7dy5HjhwxlQoA8PHxYdmyZaaSCwA7d+6875jlypXDysqKmJgYSpcuDdxMasbGxjJ48GBTu549e+Lr60uvXr3o06cPzZo1w8fHJ0exPQgfHx927dpF9+7dTedun4+TkxPFixcnJibG7IV9MTEx1KpVK8sxAwIC+Oqrr/Dy8qJAgZz/1uLp6Um/fv3o168f4eHhLFy4kLfeeouiRYty+fJlrly5Ykqy35nkz4mYmBjmz59Pq1atADh16tRdL7orWLAgGRkZd83n6NGjlC9fPtf3FBHJzxIjWt+/kYiIiIg81bRDWESeKJmZmURGRhISEpKrxOP9uLq68sorrzBs2DBefPFFSpYsabrWtWtXDAYDffr04ciRI3z77bfMmDHjvmPa29vzxhtvMGzYMDZs2MCRI0fo06cPV69eNdXv/fDDD9mxYwdLly4lODiYtm3bEhwcbLaD9V6xPYhBgwaxZMkSIiMjOXbsGGPHjuWXX34xazNs2DCmTZvGF198wdGjRxk5ciRxcXEMGjQoyzH79+/PhQsX6NKlC7GxsSQkJPD999/To0ePu5KttwwePJjvv/+e3377jX379rFlyxZTIrx27drY2dnxzjvvkJCQwIoVK0y7pHPD29ubZcuWER8fz65duwgODsbW1tasjZeXF9HR0fz5559cvHgRgDFjxvDpp58yfvx4fvnlF+Lj41m5ciXvvvturmMQERERERERyU+UEBaRJ8rmzZtJSkqiZ8+eD33sXr16ce3atbvGdnBw4JtvvuHQoUP4+/szatQopk2blqMxIyIiaN++Pd26dSMgIIATJ07w/fff4+rqyv/+9z+GDRvG/Pnz8fT0BGD+/Pn89ddfjB49OkexPYhXX32V0aNHM3z4cJ577jlOnjx51wvyBg4cyNChQ3n77bfx9fVlw4YNrF27Fm9v7yzHvLWjOCMjgxdffBFfX18GDx6Mi4sLFhZZ/1aTkZFB//798fHxoUWLFlSoUIH58+cDUKhQIT777DO+/fZbfH19+fzzzxk3blyu57p48WIuXrxIQEAA3bp1Y+DAgXftIp85cyabNm3C09MTf39/AAIDA1m3bh0bN26kZs2aPP/888yaNcu001tERERERETkSWUw3lmkUUTkGbVs2TKGDBnC6dOnsbKyyutwzOTn2CRrqampODs7k5KSonrCIiIiIiIi8sjl9OdQ1RAWkWfe1atXSU5OJiIigr59++arhGt+jk1EREREREREnjwqGSEiz7zp06dTqVIl3N3dCQ8Pz+twzOTn2B6mrVu3YjAYuHTpEgBRUVG4uLg8lLETExMxGAwP9FI6ERERERERkaeNEsIi8swbN24c169fJzo6GgcHh7wOh9DQUAwGAxEREWaxbd68GYPBANxMoL788st4eHhgb29P9erVWb58eR5HfpPBYGDNmjV5HYaJp6cnycnJVK1aNa9DEREREREREclzKhkhIpIP2djYMG3aNPr27Yurq+td13/++Wf8/PwYMWIEbm5urFu3ju7du+Ps7EybNm3yIOL8y9LSEnd397wOQ0SeMV4j1+d1CFlKjGid1yGIiIiISB7TDmERkXyoWbNmuLu7M3Xq1Cyvv/POO0ycOJG6detSrlw5Bg0aRIsWLVi1atU9x92wYQMvvPACLi4uFC5cmDZt2pCQkGDW5vfff6dLly4UKlQIe3t7atSowa5du0zXv/76awICArCxsaFs2bKMHz+eGzduAODl5QVAu3btMBgMeHl5kZiYiIWFBXv27DG7z+zZsyldujSZmZn3jDkn/S9evEhwcDBFixbF1tYWb29vIiMjTf1vLxlxqzxFdHQ0NWrUwM7Ojrp163L06FGz8e81TxEREREREZEnlRLCIiL5kKWlJVOmTOGDDz7g999/z1GflJQUChUqdM82V65cYejQoezZs4fo6GgsLCxo166dKSmblpZGw4YN+eOPP1i7di0HDhxg+PDhpus//fQT3bt3Z9CgQRw5coQFCxYQFRXF5MmTAYiNjQUgMjKS5ORkYmNj8fLyolmzZqYE7S2RkZGEhoZiYXHv34py0n/06NEcOXKE7777jvj4eD766COKFClyz3FHjRrFzJkz2bNnDwUKFKBnz56ma/ebp4iIiIiIiMiTSiUjRETyqXbt2lG9enXGjh3L4sWL79n2P//5D7GxsSxYsOCe7dq3b2/2fcmSJRQtWpQjR45QtWpVVqxYwblz54iNjTUll8uXL29qP378eEaOHElISAgAZcuWZeLEiQwfPpyxY8dStGhRAFxcXMzKNPTu3Zt+/frx/vvvY21tzb59+zh06BBff/11jp7F/fonJSXh7+9PjRo1gP+/U/leJk+eTMOGDQEYOXIkrVu35p9//sHGxua+88xKeno66enppu+pqak5mpuIiIiIiIjI46QdwiIi+di0adNYunQp8fHx2bbZsmULPXr0YOHChVSpUgW4ucPVwcHBdNx64dzx48fp0qULZcuWxcnJyZQ4TUpKAiAuLg5/f/9sdxofOHCACRMmmI3dp08fkpOTuXr1arYxtm3bFktLS1avXg1AVFQUjRs3zlHiNif933jjDVauXEn16tUZPnw4P//8833H9PPzM3328PAA4OzZsw88z6lTp+Ls7Gw6PD09czQ3ERERERERkcdJCWERkXysQYMGBAYGEh4enuX1bdu2ERQUxKxZs+jevbvpfI0aNYiLizMdL730EgBBQUFcuHCBhQsXsmvXLlNt4GvXrgFga2t7z3jS0tIYP3682diHDh3i+PHj2NjYZNvPysqK7t27ExkZybVr11ixYoVZiYb7uV//li1bcvLkSYYMGcLp06dp2rQpYWFh9xyzYMGCps8GgwHArHRGbucZHh5OSkqK6Th16lSO5yciIiIiIiLyuKhkhIhIPhcREUH16tWpWLGi2fmtW7fSpk0bpk2bxuuvv252zdbW1qzUA8D58+c5evQoCxcupH79+gBs377drI2fnx+LFi3iwoULWe4SDggI4OjRo3eNfbuCBQuSkZFx1/nevXtTtWpV5s+fz40bN3jllVfuPfFc9i9atCghISGEhIRQv359hg0bxowZM3J1j1tyMs87WVtbY21t/UD3ExEREREREXlclBAWEcnnfH19CQ4OZu7cuaZzW7ZsoU2bNgwaNIj27dvz559/Ajd30mZX7sHV1ZXChQvzySef4OHhQVJSEiNHjjRr06VLF6ZMmULbtm2ZOnUqHh4e7N+/n+LFi1OnTh3GjBlDmzZtKFWqFB06dMDCwoIDBw5w+PBhJk2aBNys3xsdHU29evWwtrbG1dUVAB8fH55//nlGjBhBz54977sb+U736j9mzBiee+45qlSpQnp6OuvWrcPHxydX498uJ/MUEbmXxIjWeR2CiIiIiEiWVDJCROQJMGHCBFM5A4ClS5dy9epVU9L21nGvXbcWFhasXLmSvXv3UrVqVYYMGcJ7771n1sbKyoqNGzdSrFgxWrVqha+vLxEREVhaWgIQGBjIunXr2LhxIzVr1uT5559n1qxZlC5d2jTGzJkz2bRpE56envj7+5uN36tXL65du5archE56W9lZUV4eDh+fn40aNAAS0tLVq5c+UD3gJzNU0RERERERORJZDAajca8DkJERJ4NEydO5L///S8HDx7Mk/6PU2pqKs7OzqSkpODk5JTX4YiIiIiIiMhTLqc/h2qHsIiIPHJpaWkcPnyYefPm8dZbbz32/iIiIiIiIiJykxLCIiLyyA0YMIDnnnuORo0aPVC5iH/bX0RERERERERuUskIEZGnWGJiImXKlGH//v1Ur16drVu30rhxYy5evIiLi0teh/dYhIaGcunSJdasWfNY76uSESIiIiIiIvI4qWSEiMgDOHXqFD179qR48eJYWVlRunRpBg0axPnz5/M6NLy8vJg9e3Zeh/HEmTNnDlFRUXkdhoiIiIiIiEi+UCCvAxARyS9+/fVX6tSpQ4UKFfj8888pU6YMv/zyC8OGDeO7775j586dFCpUKK/DlBzKyMjAYDDg7Oyc16GIiOQbXiPX53UIT6TEiNZ5HYKIiIjIQ6MdwiIi/6d///5YWVmxceNGGjZsSKlSpWjZsiWbN2/mjz/+YNSoUdn2jY2NpXnz5hQpUgRnZ2caNmzIvn37zNpcunSJvn374ubmho2NDVWrVmXdunWm69u3b6d+/frY2tri6enJwIEDuXLlCgCNGjXi5MmTDBkyBIPBgMFg4MqVKzg5OfHll1+a3WfNmjXY29tz+fLlbOPdu3cvNWrUwM7Ojrp163L06FGz6x999BHlypXDysqKihUrsmzZMrPrBoOBBQsW0KZNG+zs7PDx8WHHjh2cOHGCRo0aYW9vT926dUlISMjxuEajkXHjxlGqVCmsra0pXrw4AwcONF1PT08nLCyMEiVKYG9vT+3atdm6davpelRUFC4uLqxdu5bKlStjbW1NUlISoaGhtG3b1tSuUaNGDBw4kOHDh1OoUCHc3d0ZN27cXWvVu3dvihYtipOTE02aNOHAgQPZPk8RERERERGRJ4USwiIiwIULF/j+++958803sbW1Nbvm7u5OcHAwX3zxBdmVXb98+TIhISFs376dnTt34u3tTatWrUxJ2czMTFq2bElMTAyfffYZR44cISIiAktLSwASEhJo0aIF7du35+DBg3zxxRds376dAQMGALBq1SpKlizJhAkTSE5OJjk5GXt7ezp37kxkZKRZLJGRkXTo0AFHR8ds5ztq1ChmzpzJnj17KFCggNmL2lavXs2gQYN4++23OXz4MH379qVHjx5s2bLFbIyJEyfSvXt34uLiqFSpEl27dqVv376Eh4ezZ88ejEajKf6cjPvVV18xa9YsFixYwPHjx1mzZg2+vr6m/gMGDGDHjh2sXLmSgwcP0rFjR1q0aMHx48dNba5evcq0adNYtGgRv/zyC8WKFcty/kuXLsXe3p5du3Yxffp0JkyYwKZNm0zXO3bsyNmzZ/nuu+/Yu3cvAQEBNG3alAsXLmT7TEVERERERESeBHqpnIgIsGvXLp5//nlWr15ttpv0llmzZjF06FDOnDmTbZLxdpmZmbi4uLBixQratGnDxo0badmyJfHx8VSoUOGu9r1798bS0pIFCxaYzm3fvp2GDRty5coVbGxs8PLyYvDgwQwePNjUZvfu3dStW5dTp07h4eHB2bNnKVGiBJs3b6Zhw4bZvlRu8+bNNG3aFIBvv/2W1q1b8/fff2NjY0O9evWoUqUKn3zyiek+nTp14sqVK6xff/OfGhsMBt59910mTpwIwM6dO6lTpw6LFy82JZdXrlxJjx49+PvvvwHuO+7777/PggULOHz4MAULFjR7PklJSZQtW5akpCSKFy9uOt+sWTNq1arFlClTiIqKokePHsTFxVGtWjVTmztfKteoUSMyMjL46aefTG1q1apFkyZNiIiIYPv27bRu3ZqzZ89ibW1talO+fHmGDx/O66+/nuWap6enk56ebvqempqKp6enXionIvmKSkY8GJWMEBERkSeBXionIvIA7vd3ZP/88w8ODg6mY8qUKQCcOXOGPn364O3tjbOzM05OTqSlpZGUlARAXFwcJUuWzDIZDHDgwAGioqLMxg4MDCQzM5Pffvst23hq1apFlSpVWLp0KQCfffYZpUuXpkGDBvech5+fn+mzh4cHAGfPngUgPj6eevXqmbWvV68e8fHx2Y7h5uYGYLaj183NjX/++YfU1NQcjduxY0f+/vtvypYtS58+fVi9ejU3btwA4NChQ2RkZFChQgWzZ7Rt2zazshRWVlZmceVk/reewa35HzhwgLS0NAoXLmx2r99+++2uEhi3mzp1Ks7OzqbD09PzvnGIiIiIiIiIPG56qZyICDd3fxoMBuLj42nXrt1d1+Pj43F1dcXDw4O4uDjT+VsvmQsJCeH8+fPMmTOH0qVLY21tTZ06dbh27RrAXWUo7pSWlkbfvn3NaubeUqpUqXv27d27Nx9++CEjR44kMjKSHj16YDAY7tnn9h24t9pmZmbes09Oxvg343p6enL06FE2b97Mpk2bePPNN3nvvffYtm0baWlpWFpasnfvXlOZjVscHBxMn21tbe879zvjvBXrrTjT0tLw8PAwq098i4uLS7ZjhoeHM3ToUNP3WzuERURERERERPITJYRFRIDChQvTvHlz5s+fz5AhQ8wSuH/++SfLly+ne/fuFCxYkPLly9/VPyYmhvnz59OqVSsATp06xV9//WW67ufnx++//86xY8ey3CUcEBDAkSNHshz7FisrKzIyMu46/9prrzF8+HDmzp3LkSNHCAkJydXc7+Tj40NMTIzZODExMVSuXPmRj2tra0tQUBBBQUH079+fSpUqcejQIfz9/cnIyODs2bPUr1//X8VxPwEBAfz5558UKFAALy+vHPeztrY2KzEhIiIiIiIikh8pISwi8n/mzZtH3bp1CQwMZNKkSZQpU4ZffvmFYcOGUaJECSZPnpxtX29vb5YtW0aNGjVITU1l2LBhZknlhg0b0qBBA9q3b8/7779P+fLl+d///ofBYKBFixaMGDGC559/ngEDBtC7d2/s7e05cuQImzZtYt68eQB4eXnx448/0rlzZ6ytrSlSpAgArq6uvPLKKwwbNowXX3yRkiVL/qvnMGzYMDp16oS/vz/NmjXjm2++YdWqVWzevPmRjhsVFUVGRga1a9fGzs6Ozz77DFtbW0qXLk3hwoUJDg6me/fuzJw5E39/f86dO0d0dDR+fn60bv3wajs2a9aMOnXq0LZtW6ZPn06FChU4ffo069evp127dtSoUeOh3UtE5HFTLVwRERERUQ1hEZH/4+3tzZ49eyhbtiydOnWiXLlyvP766zRu3JgdO3aYykNkZfHixVy8eJGAgAC6devGwIED73r53FdffUXNmjXp0qULlStXZvjw4aYdv35+fmzbto1jx45Rv359/P39GTNmjNkL1CZMmEBiYiLlypWjaNGiZmP36tWLa9eumV7o9m+0bduWOXPmMGPGDKpUqcKCBQuIjIykUaNGj3RcFxcXFi5cSL169fDz82Pz5s188803FC5cGIDIyEi6d+/O22+/TcWKFWnbti2xsbH3LamRWwaDgW+//ZYGDRrQo0cPKlSoQOfOnTl58qSpVrKIiIiIiIjIk8pgvN8blEREJN9btmwZQ4YM4fTp01hZWeV1OELO3+4qIiIiIiIi8jDk9OdQlYwQEXmCXb16leTkZCIiIujbt6+SwSIiIiIiIiJyTyoZISLyBJs+fTqVKlXC3d2d8PDwvA5HRERERERERPI5JYRFRJ5g48aN4/r160RHR+Pg4HDXdYPBwJo1ax57XHl136zkp1hERERERERE8poSwiIi/yc0NBSDwUBERITZ+TVr1mAwGPIoqpsaNWrE4MGD8zSGJ1VycjItW7bM6zBERERERERE8gXVEBYRuY2NjQ3Tpk2jb9++uLq65nU48i9cu3YNKysr3N3d8zoUecZ5jVyf1yGImCRGtM7rEEREREQkj2mHsIjIbZo1a4a7uztTp07NcZ+EhARefvll3NzccHBwoGbNmmzevNmsTXp6OiNGjMDT0xNra2vKly/P4sWLTdcPHz5My5YtcXBwwM3NjW7duvHXX38BN3cub9u2jTlz5mAwGDAYDPz222+UL1+eGTNmmN0nLi4Og8HAiRMnchz/L7/8Qps2bXBycsLR0ZH69euTkJAAQGxsLM2bN6dIkSI4OzvTsGFD9u3bZ9b/+PHjNGjQABsbGypXrsymTZvuuseIESOoUKECdnZ2lC1bltGjR3P9+nUAjh07hsFg4H//+59Zn1mzZlGuXLkcPSO4uYt6wIABDB48mCJFihAYGAiYl4xITEzEYDCwatUqGjdujJ2dHdWqVWPHjh1m996+fTv169fH1tYWT09PBg4cyJUrV3L8TEVERERERETyKyWERURuY2lpyZQpU/jggw/4/fffc9QnLS2NVq1aER0dzf79+2nRogVBQUEkJSWZ2nTv3p3PP/+cuXPnEh8fz4IFC0w1fy9dukSTJk3w9/dnz549bNiwgTNnztCpUycA5syZQ506dejTpw/JyckkJydTqlQpevbsSWRkpFkskZGRNGjQgPLly+co9j/++IMGDRpgbW3NDz/8wN69e+nZsyc3btwA4PLly4SEhLB9+3Z27tyJt7c3rVq14vLlywBkZmbyyiuvYGVlxa5du/j4448ZMWLEXfdxdHQkKiqKI0eOMGfOHBYuXMisWbMAqFChAjVq1GD58uVmfZYvX07Xrl1z9IxuWbp0KVZWVsTExPDxxx9nO+9Ro0YRFhZGXFwcFSpUoEuXLqY5JyQk0KJFC9q3b8/Bgwf54osv2L59OwMGDMjRMxURERERERHJzwxGo9GY10GIiOQHoaGhXLp0iTVr1lCnTh0qV67M4sWLWbNmDe3atSM3v1xWrVqVfv36MWDAAI4dO0bFihXZtGkTzZo1u6vtpEmT+Omnn/j+++9N537//Xc8PT05evQoFSpUoFGjRlSvXp3Zs2eb2pw+fZpSpUrx888/U6tWLa5fv07x4sWZMWMGISEhwM3dsatXr6Zt27ZZxvnOO++wcuVKjh49SsGCBe87r8zMTFxcXFixYgVt2rRh48aNtG7dmpMnT1K8eHEANmzYQMuWLe953xkzZrBy5Ur27NkDwOzZs5k3b55pZ/OtZxYfH0+lSpVy/IxSU1Pv2sF8+zNITEykTJkyLFq0iF69egFw5MgRqlSpYrpX7969sbS0ZMGCBaYxtm/fTsOGDbly5Qo2NjZZzik9PZ309HTT99TUVDw9PUlJScHJyem+z1aeXioZIfmJSkaIiIiIPL1SU1Nxdna+78+h2iEsIpKFadOmsXTpUuLj483OOzg4mI5+/foBN3cIh4WF4ePjg4uLCw4ODsTHx5t2CMfFxWFpaUnDhg2zvNeBAwfYsmWL2diVKlUCMJVuyErx4sVp3bo1S5YsAeCbb74hPT2djh07Ztn+VrkFBwcHqlSpYoqtfv362SaDz5w5Q58+ffD29sbZ2RknJyfS0tJMc4uPj8fT09OUDAaoU6fOXeN88cUX1KtXD3d3dxwcHHj33XfNdlB37tyZxMREdu7cCdzcHRwQEGB6Djl9Rs8991y2z+t2fn5+ps8eHh4AnD171nSvqKgos3sFBgaSmZnJb7/9lu2YU6dOxdnZ2XR4enrmKBYRERERERGRx0kvlRMRyUKDBg0IDAwkPDyc0NBQ0/m4uDjT51t/2xYWFsamTZuYMWMG5cuXx9bWlg4dOnDt2jUAbG1t73mvtLQ0goKCmDZt2l3XbiUrs9O7d2+6devGrFmziIyM5NVXX8XOzi7LtosWLeLvv/8GMCWA7xdbSEgI58+fZ86cOZQuXRpra2vq1KljmltO7Nixg+DgYMaPH09gYCDOzs6sXLmSmTNnmtq4u7vTpEkTVqxYwfPPP8+KFSt44403TNdz+ozs7e1zFNPtCXCDwQDc3P186159+/Zl4MCBd/UrVapUtmOGh4czdOhQ0/dbO4RFRERERERE8hMlhEVEshEREUH16tWpWLGi6VxWtXljYmIIDQ2lXbt2wM2EYmJioum6r68vmZmZbNu2LcuSEQEBAXz11Vd4eXlRoEDWvyxbWVmRkZFx1/lWrVphb2/PRx99xIYNG/jxxx+znU+JEiXuOufn58fSpUu5fv16lruEY2JimD9/Pq1atQLg1KlTZi9y8/Hx4dSpUyQnJ5sSs7d2+d7y888/U7p0aUaNGmU6d/LkybvuFRwczPDhw+nSpQu//vornTt3Nl3LyTN6WAICAjhy5EiO6zDfYm1tjbW19SOKSkREREREROThUEJYRCQbvr6+BAcHM3fu3Hu28/b2ZtWqVQQFBWEwGBg9erRptymAl5cXISEh9OzZk7lz51KtWjVOnjzJ2bNn6dSpE/3792fhwoV06dKF4cOHU6hQIU6cOMHKlStZtGgRlpaWeHl5sWvXLhITE3FwcKBQoUJYWFhgaWlJaGgo4eHheHt7Z1mu4V4GDBjABx98QOfOnQkPD8fZ2ZmdO3dSq1YtKlasiLe3N8uWLaNGjRqkpqYybNgws13FzZo1o0KFCoSEhPDee++Rmppqlvi99XySkpJYuXIlNWvWZP369axevfquWF555RXeeOMN3njjDRo3bmxWhiInz+hhGTFiBM8//zwDBgygd+/e2Nvbc+TIETZt2sS8efMe2n3k2aGarSIiIiIikp+ohrCIyD1MmDDBLLmblffffx9XV1fq1q1LUFAQgYGBBAQEmLX56KOP6NChA2+++SaVKlWiT58+XLlyBbhZCzgmJoaMjAxefPFFfH19GTx4MC4uLlhY3PxlOiwsDEtLSypXrkzRokXN6u/26tWLa9eu0aNHj1zPr3Dhwvzwww+kpaXRsGFDnnvuORYuXGjaLbx48WIuXrxIQEAA3bp1Y+DAgRQrVszU38LCgtWrV/P3339Tq1YtevfuzeTJk83u8dJLLzFkyBAGDBhA9erV+fnnnxk9evRdsTg6OhIUFMSBAwcIDg42u5aTZ/Sw+Pn5sW3bNo4dO0b9+vXx9/dnzJgxZglqERERERERkSeVwWg0GvM6CBEReXA//fQTTZs25dSpU7i5ueV1OPJ/cvp2VxEREREREZGHIac/h6pkhIjIEyo9PZ1z584xbtw4OnbsqGSwiIiIiIiIiNyXSkaIiDyhPv/8c0qXLs2lS5eYPn16XocjIiIiIiIiIk8AJYRFRJ5QoaGhZGRksHfvXkqUKAHAuHHjqF69+r8a92GM8aiEhobStm3be7Zp1KgRgwcPNn338vJi9uzZjzQuERERERERkSeFEsIiIrnw448/EhQURPHixTEYDKxZsybPYsnr++eFOXPmEBUVlas+sbGxvP76648mIBEREREREZEnjGoIi4jkwpUrV6hWrRo9e/bklVdeyetwnjnOzs657lO0aNFHEImIyJPJa+T6vA5BgMSI1nkdgoiIiDzDtENYRCQXWrZsyaRJk2jXrl2O+xgMBhYsWECbNm2ws7PDx8eHHTt2cOLECRo1aoS9vT1169YlISHBrN/XX39NQEAANjY2lC1blvHjx3Pjxg3gZhkEgHbt2mEwGEzfb1m2bBleXl44OzvTuXNnLl++DMCnn35K4cKFSU9PN2vftm1bunXrlmX8N27cYODAgbi4uFC4cGFGjBhBSEiIWemGrMoyVK9enXHjxpm+v//++/j6+mJvb4+npydvvvkmaWlpputRUVG4uLjw/fff4+Pjg4ODAy1atCA5OdnU5s6SEVeuXKF79+44ODjg4eHBzJkz74r/ztgMBgOLFi2iXbt22NnZ4e3tzdq1a836HD58mJYtW+Lg4ICbmxvdunXjr7/+yvL5iIiIiIiIiDxJlBAWEXkMJk6cSPfu3YmLi6NSpUp07dqVvn37Eh4ezp49ezAajQwYMMDU/qeffqJ79+4MGjSII0eOsGDBAqKiopg8eTJwswwCQGRkJMnJyabvAAkJCaxZs4Z169axbt06tm3bRkREBAAdO3YkIyPDLAF69uxZ1q9fT8+ePbOMfdq0aSxfvpzIyEhiYmJITU19oFIVFhYWzJ07l19++YWlS5fyww8/MHz4cLM2V69eZcaMGSxbtowff/yRpKQkwsLCsh1z2LBhbNu2ja+//pqNGzeydetW9u3bd99Yxo8fT6dOnTh48CCtWrUiODiYCxcuAHDp0iWaNGmCv78/e/bsYcOGDZw5c4ZOnTrdc8z09HRSU1PNDhEREREREZH8RglhEZHHoEePHnTq1IkKFSowYsQIEhMTCQ4OJjAwEB8fHwYNGsTWrVtN7cePH8/IkSMJCQmhbNmyNG/enIkTJ7JgwQLg/5dBcHFxwd3d3awsQmZmJlFRUVStWpX69evTrVs3oqOjAbC1taVr165ERkaa2n/22WeUKlWKRo0aZRn7Bx98QHh4OO3ataNSpUrMmzcPFxeXXD+DwYMH07hxY7y8vGjSpAmTJk3iP//5j1mb69ev8/HHH1OjRg0CAgIYMGCAKfY7paWlsXjxYmbMmEHTpk3x9fVl6dKlpl3U9xIaGkqXLl0oX748U6ZMIS0tjd27dwMwb948/P39mTJlCpUqVcLf358lS5awZcsWjh07lu2YU6dOxdnZ2XR4enrm4umIiIiIiIiIPB5KCIuIPCRTpkzBwcHBdCQlJZmu+fn5mT67ubkB4Ovra3bun3/+Me0qPXDgABMmTDAbr0+fPiQnJ3P16tV7xuHl5YWjo6Ppu4eHB2fPnjV979OnDxs3buSPP/4AbpZqCA0NxWAw3DVWSkoKZ86coVatWqZzlpaWPPfcczl6JrfbvHkzTZs2pUSJEjg6OtKtWzfOnz9vNh87OzvKlSuXbey3S0hI4Nq1a9SuXdt0rlChQlSsWPG+sdy+Hvb29jg5OZnuc+DAAbZs2WL27CtVqmS6Z3bCw8NJSUkxHadOnbpvHCIiIiIiIiKPm14qJyLykPTr18+srEDx4sVNnwsWLGj6fCvxmtW5zMxM4Obu1/Hjx2f54jobG5t7xnH7uLfGvjUugL+/P9WqVePTTz/lxRdf5JdffmH9+n/3kiELCwuMRqPZuevXr5s+JyYm0qZNG9544w0mT55MoUKF2L59O7169eLatWvY2dllG/ud4z4M93pGaWlpBAUFMW3atLv6eXh4ZDumtbU11tbWDzdQERERERERkYdMCWERkYekUKFCFCpU6KGMFRAQwNGjRylfvny2bQoWLEhGRsYDjd+7d29mz57NH3/8QbNmzbItb+Ds7IybmxuxsbE0aNAAgIyMDPbt20f16tVN7YoWLWr28rfU1FR+++030/e9e/eSmZnJzJkzsbC4+Y9T7iwXkVvlypWjYMGC7Nq1i1KlSgFw8eJFjh07RsOGDR943ICAAL766iu8vLwoUEC/TYqIiIiIiMjTRT/piojkQlpaGidOnDB9/+2334iLi6NQoUKmpOTDMGbMGNq0aUOpUqXo0KEDFhYWHDhwgMOHDzNp0iTgZmmI6Oho6tWrh7W1Na6urjkev2vXroSFhbFw4UI+/fTTe7Z96623mDp1KuXLl6dSpUp88MEHXLx40azERJMmTYiKiiIoKAgXFxfGjBmDpaWl6Xr58uW5fv06H3zwAUFBQcTExPDxxx/n8qmYc3BwoFevXgwbNozChQtTrFgxRo0aZUo4P6j+/fuzcOFCunTpwvDhwylUqBAnTpxg5cqVLFq0yGxeIiJPmsSI1nkdgoiIiIjkMdUQFhHJhT179uDv74+/vz8AQ4cOxd/fnzFjxjzU+wQGBrJu3To2btxIzZo1ef7555k1axalS5c2tZk5cyabNm3C09PTFE9OOTs70759exwcHGjbtu09244YMYIuXbrQvXt36tSpg4ODA4GBgWalK8LDw2nYsCFt2rShdevWtG3b1qwWcLVq1Xj//feZNm0aVatWZfny5UydOjVXMWflvffeo379+gQFBdGsWTNeeOGFB6pvfLvixYsTExNDRkYGL774Ir6+vgwePBgXF5d/nWwWERERERERyWsG46MozigiIvle06ZNqVKlCnPnzs1Vv8zMTHx8fOjUqRMTJ058RNE9+VJTU3F2diYlJQUnJ6e8DkdERERERESecjn9OVQlI0REnjEXL15k69atbN26lfnz59+3/cmTJ9m4cSMNGzYkPT2defPm8dtvv9G1a9fHEK2IiIiIiIiIPExKCIuIPGP8/f25ePEi06ZNo2LFivdtb2FhQVRUFGFhYRiNRqpWrcrmzZvx8fF5DNGKiIiIiIiIyMOkkhEiIiKPgEpGiIiIiIiIyOOU059D9XYcERHJN86dO8cbb7xBqVKlsLa2xt3dncDAQGJiYgAwGAysWbMm1+N6eXkxe/bshxusiIiIiIiIyBNIJSNERCTfaN++PdeuXWPp0qWULVuWM2fOEB0dzfnz5/M6NBGRp4LXyPV5HYKIiIjIEycxonVeh/BQaYewiIjkC5cuXeKnn35i2rRpNG7cmNKlS1OrVi3Cw8N56aWX8PLyAqBdu3YYDAbT94SEBF5++WXc3NxwcHCgZs2abN682TRuo0aNOHnyJEOGDMFgMGAwGAAYN24c1atXN4th9uzZpnEBtm7dSq1atbC3t8fFxYV69epx8uTJR/kYRERERERERB4pJYRFRCRfcHBwwMHBgTVr1pCenn7X9djYWAAiIyNJTk42fU9LS6NVq1ZER0ezf/9+WrRoQVBQEElJSQCsWrWKkiVLMmHCBJKTk0lOTs5RPDdu3KBt27Y0bNiQgwcPsmPHDl5//XVTQvlO6enppKammh0iIiIiIiIi+Y0SwiIiki8UKFCAqKgoli5datqN+84773Dw4EEAihYtCoCLiwvu7u6m79WqVaNv375UrVoVb29vJk6cSLly5Vi7di0AhQoVwtLSEkdHR9zd3XF3d89RPKmpqaSkpNCmTRvKlSuHj48PISEhlCpVKsv2U6dOxdnZ2XR4enr+20ciIiIiIiIi8tApISwiIvlG+/btOX36NGvXrqVFixZs3bqVgIAAoqKisu2TlpZGWFgYPj4+uLi44ODgQHx8vGmH8IMqVKgQoaGhBAYGEhQUxJw5c+65uzg8PJyUlBTTcerUqX91fxEREREREZFHQQlhERHJV2xsbGjevDmjR4/m559/JjQ0lLFjx2bbPiwsjNWrVzNlyhR++ukn4uLi8PX15dq1a/e8j4WFBUaj0ezc9evXzb5HRkayY8cO6tatyxdffEGFChXYuXNnluNZW1vj5ORkdoiIiIiIiIjkN0oIi4hIvla5cmWuXLkCQMGCBcnIyDC7HhMTQ2hoKO3atcPX1xd3d3cSExPN2lhZWd3Vr2jRovz5559mSeG4uLi77u/v7094eDg///wzVatWZcWKFQ9nYiIiIiIiIiJ5oEBeByAiIgJw/vx5OnbsSM+ePfHz88PR0ZE9e/Ywffp0Xn75ZQC8vLyIjo6mXr16WFtb4+rqire3N6tWrSIoKAiDwcDo0aPJzMw0G9vLy4sff/yRzp07Y21tTZEiRWjUqBHnzp1j+vTpdOjQgQ0bNvDdd9+Zdvb+9ttvfPLJJ7z00ksUL16co0ePcvz4cbp37/7Yn42IyMOSGNE6r0MQERERkTymHcIiIpIvODg4ULt2bWbNmkWDBg2oWrUqo0ePpk+fPsybNw+AmTNnsmnTJjw9PfH39wfg/fffx9XVlbp16xIUFERgYCABAQFmY0+YMIHExETKlStnehmdj48P8+fP58MPP6RatWrs3r2bsLAwUx87Ozv+97//0b59eypUqMDrr79O//796du372N6IiIiIiIiIiIPn8F4ZwFFERER+ddSUlJwcXHh1KlTqicsIiIiIiIij1xqaiqenp5cunQJZ2fnbNupZISIiMgjcPnyZQA8PT3zOBIRERERERF5lly+fPmeCWHtEBYREXkEMjMzOX36NI6OjhgMhrwO55G49bfP2gX99NHaPp20rk8vre3TS2v7dNK6Pr20tk+nJ2ldjUYjly9fpnjx4lhYZF8pWDuERUREHgELCwtKliyZ12E8Fk5OTvn+D0byYLS2Tyet69NLa/v00to+nbSuTy+t7dPpSVnXe+0MvkUvlRMRERERERERERF5RighLCIiIiIiIiIiIvKMUEJYREREHoi1tTVjx47F2to6r0ORh0xr+3TSuj69tLZPL63t00nr+vTS2j6dnsZ11UvlRERERERERERERJ4R2iEsIiIiIiIiIiIi8oxQQlhERERERERERETkGaGEsIiIiIiIiIiIiMgzQglhERERERERERERkWeEEsIiIiKSYxcuXCA4OBgnJydcXFzo1asXaWlpOeprNBpp2bIlBoOBNWvWPNpAJddyu7YXLlzgrbfeomLFitja2lKqVCkGDhxISkrKY4xa7vThhx/i5eWFjY0NtWvXZvfu3fds/9///pdKlSphY2ODr68v33777WOKVHIrN2u7cOFC6tevj6urK66urjRr1uy+/y1I3snt/7e3rFy5EoPBQNu2bR9tgPJAcruuly5don///nh4eGBtbU2FChX0a3I+ldu1nT17tunPS56engwZMoR//vnnMUUrOfHjjz8SFBRE8eLFc/yzytatWwkICMDa2pry5csTFRX1yON8mJQQFhERkRwLDg7ml19+YdOmTaxbt44ff/yR119/PUd9Z8+ejcFgeMQRyoPK7dqePn2a06dPM2PGDA4fPkxUVBQbNmygV69ejzFqud0XX3zB0KFDGTt2LPv27aNatWoEBgZy9uzZLNv//PPPdOnShV69erF//37atm1L27ZtOXz48GOOXO4nt2u7detWunTpwpYtW9ixYweenp68+OKL/PHHH485crmf3K7tLYmJiYSFhVG/fv3HFKnkRm7X9dq1azRv3pzExES+/PJLjh49ysKFCylRosRjjlzuJ7dru2LFCkaOHMnYsWOJj49n8eLFfPHFF7zzzjuPOXK5lytXrlCtWjU+/PDDHLX/7bffaN26NY0bNyYuLo7BgwfTu3dvvv/++0cc6UNkFBEREcmBI0eOGAFjbGys6dx3331nNBgMxj/++OOefffv328sUaKEMTk52QgYV69e/Yijldz4N2t7u//85z9GKysr4/Xr1x9FmHIftWrVMvbv39/0PSMjw1i8eHHj1KlTs2zfqVMnY+vWrc3O1a5d29i3b99HGqfkXm7X9k43btwwOjo6GpcuXfqoQpQH9CBre+PGDWPdunWNixYtMoaEhBhffvnlxxCp5EZu1/Wjjz4yli1b1njt2rXHFaI8oNyubf/+/Y1NmjQxOzd06FBjvXr1Hmmc8uBy8rPK8OHDjVWqVDE79+qrrxoDAwMfYWQPl3YIi4iISI7s2LEDFxcXatSoYTrXrFkzLCws2LVrV7b9rl69SteuXfnwww9xd3d/HKFKLj3o2t4pJSUFJycnChQo8CjClHu4du0ae/fupVmzZqZzFhYWNGvWjB07dmTZZ8eOHWbtAQIDA7NtL3njQdb2TlevXuX69esUKlToUYUpD+BB13bChAkUK1ZM/yIjn3qQdV27di116tShf//+uLm5UbVqVaZMmUJGRsbjClty4EHWtm7duuzdu9dUVuLXX3/l22+/pVWrVo8lZnk0noY/Q+lP6yIiIpIjf/75J8WKFTM7V6BAAQoVKsSff/6Zbb8hQ4ZQt25dXn755UcdojygB13b2/31119MnDgxxyVE5OH666+/yMjIwM3Nzey8m5sb//vf/7Ls8+eff2bZPqdrLo/Hg6ztnUaMGEHx4sXv+uFV8taDrO327dtZvHgxcXFxjyFCeRAPsq6//vorP/zwA8HBwXz77becOHGCN998k+vXrzN27NjHEbbkwIOsbdeuXfnrr7944YUXMBqN3Lhxg379+qlkxBMuuz9Dpaam8vfff2Nra5tHkeWcdgiLiIg840aOHInBYLjnkdOkw53Wrl3LDz/8wOzZsx9u0JIjj3Jtb5eamkrr1q2pXLky48aN+/eBi8hDExERwcqVK1m9ejU2NjZ5HY78C5cvX6Zbt24sXLiQIkWK5HU48hBlZmZSrFgxPvnkE5577jleffVVRo0axccff5zXocm/tHXrVqZMmcL8+fPZt28fq1atYv369UycODGvQ5NnnHYIi4iIPOPefvttQkND79mmbNmyuLu73/XCjBs3bnDhwoVsS0H88MMPJCQk4OLiYna+ffv21K9fn61bt/6LyOV+HuXa3nL58mVatGiBo6Mjq1evpmDBgv82bHkARYoUwdLSkjNnzpidP3PmTLZr6O7unqv2kjceZG1vmTFjBhEREWzevBk/P79HGaY8gNyubUJCAomJiQQFBZnOZWZmAjf/VcfRo0cpV67cow1a7utB/p/18PCgYMGCWFpams75+Pjw559/cu3aNaysrB5pzJIzD7K2o0ePplu3bvTu3RsAX19frly5wuuvv86oUaOwsNA+zSdRdn+GcnJyeiJ2B4N2CIuIiDzzihYtSqVKle55WFlZUadOHS5dusTevXtNfX/44QcyMzOpXbt2lmOPHDmSgwcPEhcXZzoAZs2aRWRk5OOY3jPtUa4t3NwZ/OKLL2JlZcXatWu1+zAPWVlZ8dxzzxEdHW06l5mZSXR0NHXq1MmyT506dczaA2zatCnb9pI3HmRtAaZPn87EiRPZsGGDWX1wyT9yu7aVKlXi0KFDZr+nvvTSS6a33Ht6ej7O8CUbD/L/bL169Thx4oQpwQ9w7NgxPDw8lAzORx5kba9evXpX0vdW4t9oND66YOWReir+DJXXb7UTERGRJ0eLFi2M/v7+xl27dhm3b99u9Pb2Nnbp0sV0/ffffzdWrFjRuGvXrmzHIAdv7pXHL7drm5KSYqxdu7bR19fXeOLECWNycrLpuHHjRl5N45m2cuVKo7W1tTEqKsp45MgR4+uvv250cXEx/vnnn0aj0Wjs1q2bceTIkab2MTExxgIFChhnzJhhjI+PN44dO9ZYsGBB46FDh/JqCpKN3K5tRESE0crKyvjll1+a/b95+fLlvJqCZCO3a3unkJAQ48svv/yYopWcyu26JiUlGR0dHY0DBgwwHj161Lhu3TpjsWLFjJMmTcqrKUg2cru2Y8eONTo6Oho///xz46+//mrcuHGjsVy5csZOnTrl1RQkC5cvXzbu37/fuH//fiNgfP/994379+83njx50mg0Go0jR440duvWzdT+119/NdrZ2RmHDRtmjI+PN3744YdGS0tL44YNG/JqCrmmkhEiIiKSY8uXL2fAgAE0bdoUCwsL2rdvz9y5c03Xr1+/ztGjR7l69WoeRikPIrdru2/fPnbt2gVA+fLlzcb67bff8PLyemyxy02vvvoq586dY8yYMfz5559Ur16dDRs2mF56kpSUZLZLqW7duqxYsYJ3332Xd955B29vb9asWUPVqlXzagqSjdyu7UcffcS1a9fo0KGD2Thjx45Vne98JrdrK0+G3K6rp6cn33//PUOGDMHPz48SJUowaNAgRowYkVdTkGzkdm3fffddDAYD7777Ln/88QdFixYlKCiIyZMn59UUJAt79uyhcePGpu9Dhw4FICQkhKioKJKTk0lKSjJdL1OmDOvXr2fIkCHMmTOHkiVLsmjRIgIDAx977A/KYDRqj7qIiIiIiIiIiIjIs0B/1SgiIiIiIiIiIiLyjFBCWEREREREREREROQZoYSwiIiIiIiIiIiIyDNCCWERERERERERERGRZ4QSwiIiIiIiIiIiIiLPCCWERURERERERERERJ4RSgiLiIiIiIiIiIiIPCOUEBYRERERERERERF5RighLCIiIiIiIiIiIvKMUEJYRERERERERERE5BmhhLCIiIiIiIiIiIjIM0IJYREREREREREREZFnxP8DIMV7wsynLggAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "corr_matrix[\"Status\"].plot.barh(figsize=(12,150))\n", "plt.title('Pearson Correlation')" ] }, { "cell_type": "code", "execution_count": 86, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['2-methylbutyrylcarnitine (C5)', '5-bromotryptophan',\n", " 'alpha-hydroxyisovalerate', 'creatine', 'cystine',\n", " 'isovalerylcarnitine (C5)', 'N-acetylaspartate (NAA)',\n", " 'N-acetylthreonine', 'N-delta-acetylornithine',\n", " 'N-trimethyl 5-aminovalerate', 'pro-hydroxy-pro', 'sarcosine',\n", " 'alpha-CEHC sulfate', 'gulonate*', 'aconitate [cis or trans]',\n", " 'diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])*',\n", " 'glycerol 3-phosphate', '1-arachidonylglycerol (20:4)',\n", " 'palmitoyl-oleoyl-glycerol (16:0/18:1) [2]*', 'suberate (octanedioate)',\n", " 'andro steroid monosulfate (1)*',\n", " '1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)*',\n", " '1-(1-enyl-palmitoyl)-GPE (P-16:0)*', '1-oleoylglycerol (18:1)',\n", " '1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)*', '1-stearoyl-GPI (18:0)',\n", " 'acetylcarnitine (C2)', 'epiandrosterone sulfate',\n", " 'glycerophosphoethanolamine', 'linoleoylcarnitine (C18:2)*',\n", " 'oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]*',\n", " 'oleoyl-linoleoyl-glycerol (18:1/18:2) [2]', 'palmitoleate (16:1n7)',\n", " 'palmitoylcarnitine (C16)', 'sphingomyelin (d18:2/16:0, d18:1/16:1)*',\n", " 'sphingomyelin (d18:2/24:2)*', 'stearoylcarnitine (C18)',\n", " '2'-O-methyluridine', 'hypoxanthine', 'N2,N2-dimethylguanosine',\n", " 'orotidine', 'gamma-glutamylphenylalanine', 'gamma-glutamylthreonine',\n", " 'phenylacetylglutamine', '7-methylurate', 'o-cresol sulfate',\n", " 'ferulic acid 4-sulfate', '4-ethylphenylsulfate', 'p-cresol sulfate',\n", " 'stachydrine'],\n", " dtype='object')" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cols_idxs = selector.get_support(indices=True)\n", "features_df_new = data.iloc[:,cols_idxs]\n", "features_df_new.columns" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Farbod\\AppData\\Local\\Temp\\ipykernel_8312\\4159012531.py:1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " features_df_new['Status'] = data['Status'].copy()\n" ] }, { "data": { "text/plain": [ "Status 1.000000\n", "gamma-glutamylthreonine 0.398611\n", "acetylcarnitine (C2) 0.282584\n", "gamma-glutamylphenylalanine 0.273366\n", "1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)* 0.272594\n", "N-acetylthreonine 0.252210\n", "orotidine 0.244607\n", "pro-hydroxy-pro 0.212626\n", "epiandrosterone sulfate 0.202501\n", "oleoyl-linoleoyl-glycerol (18:1/18:2) [2] 0.195522\n", "palmitoleate (16:1n7) 0.188455\n", "p-cresol sulfate 0.180942\n", "sphingomyelin (d18:2/16:0, d18:1/16:1)* 0.167889\n", "o-cresol sulfate 0.157020\n", "alpha-hydroxyisovalerate 0.155864\n", "palmitoyl-oleoyl-glycerol (16:0/18:1) [2]* 0.148649\n", "gulonate* 0.145699\n", "isovalerylcarnitine (C5) 0.135575\n", "stearoylcarnitine (C18) 0.131743\n", "aconitate [cis or trans] 0.111244\n", "creatine 0.100919\n", "hypoxanthine 0.097778\n", "sarcosine 0.088048\n", "suberate (octanedioate) 0.084438\n", "palmitoylcarnitine (C16) 0.083674\n", "phenylacetylglutamine 0.076456\n", "stachydrine 0.058326\n", "N2,N2-dimethylguanosine 0.055028\n", "ferulic acid 4-sulfate 0.052453\n", "4-ethylphenylsulfate 0.038647\n", "glycerol 3-phosphate 0.038014\n", "1-oleoylglycerol (18:1) 0.035510\n", "linoleoylcarnitine (C18:2)* 0.033059\n", "andro steroid monosulfate (1)* 0.024794\n", "N-acetylaspartate (NAA) 0.013827\n", "5-bromotryptophan 0.013497\n", "cystine 0.013181\n", "7-methylurate 0.011589\n", "oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]* -0.011999\n", "diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])* -0.018310\n", "alpha-CEHC sulfate -0.095988\n", "N-delta-acetylornithine -0.099160\n", "sphingomyelin (d18:2/24:2)* -0.103365\n", "2-methylbutyrylcarnitine (C5) -0.119570\n", "N-trimethyl 5-aminovalerate -0.122214\n", "1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)* -0.124559\n", "1-arachidonylglycerol (20:4) -0.163492\n", "2'-O-methyluridine -0.188818\n", "1-stearoyl-GPI (18:0) -0.234448\n", "glycerophosphoethanolamine -0.294351\n", "1-(1-enyl-palmitoyl)-GPE (P-16:0)* -0.297307\n", "Name: Status, dtype: float64" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "features_df_new['Status'] = data['Status'].copy()\n", "corr_matrix = features_df_new.corr()\n", "corr_matrix[\"Status\"].sort_values(ascending=False)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Pearson Correlation (Selected Features)')" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "corr_matrix[\"Status\"].plot.barh(figsize=(12,10))\n", "plt.title('Pearson Correlation (Selected Features)')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Final Evaluation" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 0.9803921568627451\n", "f1: 0.9846153846153847\n", "roc_auc: 0.9736842105263158\n", "recall: 1.0\n", "precision: 0.9696969696969697\n" ] }, { "data": { "text/plain": [ "array([[18, 1],\n", " [ 0, 32]], dtype=int64)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.model_selection import cross_val_predict\n", "from sklearn.metrics import confusion_matrix, f1_score, recall_score, roc_auc_score, precision_score, accuracy_score\n", "\n", "y_pred = cross_val_predict(model, X_reduced, y, cv=kf)\n", "\n", "print('Accuracy: ', accuracy_score(y, y_pred))\n", "print('f1: ', f1_score(y, y_pred))\n", "print('roc_auc: ', roc_auc_score(y, y_pred))\n", "print('recall: ', recall_score(y, y_pred))\n", "print('precision: ', precision_score(y, y_pred))\n", "confusion_matrix(y, y_pred)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0.81818182 0.8 0.9 0.7 0.8 ]\n", "Accuracy: 80.36 %\n", "[[2 2]\n", " [0 7]]\n", "F1-score: 0.8750000000000001\n", "Precision: 0.7777777777777778\n", "Specificity: 0.5\n", "Sensitivity: 1.0\n", "==========================================================\n", "[0.81818182 0.8 0.9 0.7 0.8 ]\n", "Accuracy: 80.36 %\n", "[[3 1]\n", " [1 5]]\n", "F1-score: 0.8333333333333334\n", "Precision: 0.8333333333333334\n", "Specificity: 0.75\n", "Sensitivity: 0.8333333333333334\n", "==========================================================\n", "[0.81818182 0.8 0.9 0.7 0.8 ]\n", "Accuracy: 80.36 %\n", "[[3 1]\n", " [0 6]]\n", "F1-score: 0.923076923076923\n", "Precision: 0.8571428571428571\n", "Specificity: 0.75\n", "Sensitivity: 1.0\n", "==========================================================\n", "[0.81818182 0.8 0.9 0.7 0.8 ]\n", "Accuracy: 80.36 %\n", "[[2 1]\n", " [2 5]]\n", "F1-score: 0.7692307692307692\n", "Precision: 0.8333333333333334\n", "Specificity: 0.6666666666666666\n", "Sensitivity: 0.7142857142857143\n", "==========================================================\n", "[0.81818182 0.8 0.9 0.7 0.8 ]\n", "Accuracy: 80.36 %\n", "[[3 1]\n", " [1 5]]\n", "F1-score: 0.8333333333333334\n", "Precision: 0.8333333333333334\n", "Specificity: 0.75\n", "Sensitivity: 0.8333333333333334\n", "==========================================================\n", "Average:\n", "Accuracy: 80.36 %\n", "F1-score: 0.8467948717948717\n", "Precision: 0.826984126984127\n", "Specificity: 0.6833333333333333\n", "Sensitivity: 0.8761904761904763\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pandas as pd\n", "import statistics as st\n", "from sklearn.model_selection import KFold, cross_val_score, cross_val_predict\n", "from sklearn.metrics import confusion_matrix, f1_score, precision_score\n", "from mlxtend.plotting import plot_confusion_matrix\n", "sns.set()\n", "\n", "\n", "maxAccuracy=0\n", "sum_tn, sum_tp, sum_fp, sum_fn, sum_spe, sum_f1, sum_pre, sum_sen = 0, 0, 0, 0, 0, 0, 0, 0\n", "l =1\n", "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n", "for train_index, test_index in kf.split(X):\n", " X_train, X_test = X[train_index], X[test_index]\n", " y_train, y_test = y[train_index], y[test_index]\n", " model.fit(X_train, y_train)\n", " y_pred = model.predict(X_test)\n", " cm = confusion_matrix(y_test, model.predict(X_test))\n", " accuracy = cross_val_score(model, X, y, cv=kf, scoring='accuracy')\n", " print(accuracy) \n", " print(\"Accuracy: {:.2f} %\".format(accuracy.mean()*100))\n", " print(cm)\n", "\n", "\n", " group_counts = [\"{0:0.0f}\".format(value) for value in cm.flatten()]\n", " labels = [f\"{v1}\" for v1 in group_counts]\n", " labels = np.asarray(labels).reshape(2,2)\n", "\n", " plt.rcParams.update({'font.size': 26})\n", " \n", " ax = sns.heatmap(cm, annot=labels, fmt='', cmap='Blues', cbar=False)\n", " \n", " ax.set_title('Fold '+ str(l));\n", " ax.set_xlabel('Predicted Values')\n", " ax.set_ylabel('Actual Values')\n", " ax.label_font = {'size':'27'}\n", " \n", " ax.xaxis.set_ticklabels(['0','1'])\n", " ax.yaxis.set_ticklabels(['0','1'])\n", " ax.tick_params(axis='both', which='major', labelsize=13) \n", " \n", " # plt.show()\n", " #ax.figure.savefig(\"Fold_\" + str(l) + \".svg\", dpi='figure')\n", "\n", "\n", " f1 = f1_score(y_test, y_pred)\n", " print(f\"F1-score: {f1}\")\n", " sum_f1 += f1 \n", " pre = precision_score(y_test, y_pred)\n", " print(f\"Precision: {pre}\")\n", " sum_pre += pre\n", " tn, fp, fn, tp = cm.ravel()\n", " sum_tn += tn\n", " sum_tp += tp\n", " sum_fn += fn\n", " sum_fp += fp\n", " Specificity = tn / (tn+fp)\n", " print(f\"Specificity: {Specificity}\")\n", " sum_spe += Specificity\n", " Sensitivity = tp / (fn+tp)\n", " print(f\"Sensitivity: {Sensitivity}\")\n", " sum_sen += Sensitivity\n", " l+=1\n", " print('==========================================================')\n", "\n", "print('Average:')\n", "print(\"Accuracy: {:.2f} %\".format(accuracy.mean()*100))\n", "# cm = np.array([[sum_tn, sum_fp], [sum_fn, sum_tp]])\n", "# print(cm)\n", "print(f\"F1-score: {sum_f1 / 5}\")\n", "print(f\"Precision: {sum_pre / 5}\")\n", "print(f\"Specificity: {sum_spe / 5}\")\n", "print(f\"Sensitivity: {sum_sen / 5}\")\n", "\n", "\n", "group_counts = [\"{0:0.0f}\".format(value) for value in cm.flatten()]\n", "labels = [f\"{v1}\" for v1 in group_counts]\n", "labels = np.asarray(labels).reshape(2,2)\n", "\n", "plt.rcParams.update({'font.size': 26})\n", "\n", "ax = sns.heatmap(cm, annot=labels, fmt='', cmap='Blues', cbar=False)\n", "\n", "ax.set_title('Overlapped'); \n", "ax.set_xlabel('Predicted Values')\n", "ax.set_ylabel('Actual Values');\n", "\n", "ax.xaxis.set_ticklabels(['0','1'])\n", "ax.yaxis.set_ticklabels(['0','1'])\n", "ax.tick_params(axis='both', which='major', labelsize=13) \n", " \n", "\n", "\n", "plt.show()\n", "#ax.figure.savefig(\"overlapped.svg\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## ROC Curve" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n", "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n", "from mpl_toolkits.axisartist.axislines import SubplotZero\n", "from sklearn.metrics import accuracy_score, balanced_accuracy_score, f1_score, confusion_matrix, roc_auc_score, roc_curve, precision_recall_curve\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "from IPython.display import HTML, display, clear_output\n", "from sklearn.metrics import auc\n", "\n", "\n", "\n", "matplotlib.rcdefaults()\n", "plt.rcParams.update({'xtick.labelsize':10, \n", " 'ytick.labelsize':10,\n", " 'legend.fontsize':12,\n", " 'axes.edgecolor' : 'black',\n", " 'legend.title_fontsize' : 15,\n", " 'figure.figsize': (12,12),\n", " 'axes.labelsize' :18})\n", "\n", "\n", "def mplot(y, ax, lw = 1):\n", " f_x, t_x, _ = roc_curve(y, pred1)\n", " f_l, t_l, _ = roc_curve(y, pred2)\n", " f_g, t_g, _ = roc_curve(y, pred3)\n", " f_b, t_b, _ = roc_curve(y, pred4)\n", " f_dt, t_dt, _ = roc_curve(y, pred5)\n", " f_nb, t_nb, _ = roc_curve(y, pred6)\n", "\n", " # f_RN51, t_RN51, _ = roc_curve(y, y_prob)\n", "\n", " ax.axis['top'].set_visible(False)\n", " ax.axis['right'].set_visible(False)\n", " ax.spines['bottom'].set_color('black')\n", " ax.spines['left'].set_color('black')\n", "\n", " ax.plot(f_x, t_x, color=\"#E53935\", lw=lw, label= f\" (AUC = {auc(f_x, t_x):.4f}) XGBoost \")\n", " ax.plot(f_l, t_l, color=\"#4FC3F7\", lw=lw, label= f\" (AUC = {auc(f_l, t_l):.4f}) SVC \")\n", " ax.plot(f_g, t_g, color=\"#66BB6A\", lw=lw, label= f\" (AUC = {auc(f_g, t_g):.4f}) LogisticRegression \")\n", " ax.plot(f_b, t_b, color=\"#CF7345\", lw=lw, label= f\" (AUC = {auc(f_b, t_b):.4f}) RandomForest \")\n", " ax.plot(f_dt, t_dt, color=\"#FF1AD5\", lw=lw, label= f\" (AUC = {auc(f_dt, t_dt):.4f}) Decision Tree \")\n", " ax.plot(f_nb, t_nb, color=\"#9952FF\", lw=lw, label= f\" (AUC = {auc(f_nb, t_nb):.4f}) Naïve Bayes \")\n", "\n", " # ax.plot(f_RN51, t_RN51, color=\"#000000\", lw=lw, label= f\" (AUC = {auc(f_RN51, t_RN51):.4f}) Hard Voting \")\n", " ax.plot([0, 1], [0, 1], color=\"#ECEFF1\", lw=2.5, linestyle=\"--\")\n", "\n", " \n", "\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "import statistics as st\n", "from sklearn.model_selection import KFold, cross_val_score, cross_val_predict\n", "import matplotlib.pyplot as plt\n", "\n", "#%matplotlib inline\n", "\n", "# dataset = pd.read_csv('NewDataset.csv')\n", "# X = dataset.iloc[:, :-1].values\n", "# y = dataset.iloc[:, -1].values\n", "\n", "# from sklearn.preprocessing import StandardScaler\n", "# sc = StandardScaler()\n", "# X = sc.fit_transform(X)\n", "\n", "from xgboost import XGBClassifier\n", "model1 = XGBClassifier(booster='gblinear', learning_rate=0.19)\n", "\n", "from sklearn.linear_model import LogisticRegression\n", "model3 = LogisticRegression(random_state = 42) #96.15: ANOVA50 4fold # 94.13 7fold ANOVA50\n", "\n", "from sklearn.ensemble import RandomForestClassifier\n", "model4 = RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 42) \n", "\n", "from sklearn.svm import SVC\n", "model2 = SVC(kernel = 'linear', random_state = 42, probability=True) \n", "\n", "from sklearn.tree import DecisionTreeClassifier\n", "model5 = DecisionTreeClassifier(criterion = 'entropy', random_state = 42) \n", "\n", "from sklearn.naive_bayes import GaussianNB\n", "model6 = GaussianNB() #96.15: ANOVA50 4fold # 94.13 7fold ANOVA50\n", "\n", "\n", "# model2 = lgb.LGBMClassifier()\n", "# model1 = XGBClassifier(eta=0.001, gamma=0, n_estimators=94)\n", "# model3= GradientBoostingClassifier()\n", "# model4 = BaggingClassifier(XGBClassifier(eta=0.001, gamma=0, n_estimators=94))\n", "# model = VotingClassifier(estimators=[('lgb', model2),('xgb', model1), ('gb', model3), ('bc', model4)],weights=(6,13,6,1), voting='hard')\n", "\n", "l =1\n", "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n", "# for train_index, test_index in kf.split(X):\n", "# X_train, X_test = X[train_index], X[test_index]\n", "# y_train, y_test = y[train_index], y[test_index]\n", "# model.fit(X_train, y_train)\n", "# y_pred += model.predict(X_test)\n", "# accuracy = cross_val_score(model, X_reduced, y, cv=kf, scoring='accuracy')\n", "# print(accuracy) \n", "# print(\"Accuracy: {:.2f} %\".format(accuracy.mean()*100))\n", "# y_pred = cross_val_predict(model, X, y, cv=kf)\n", "pred11 = cross_val_predict(model1, X_reduced, y, cv=kf)\n", "pred22 = cross_val_predict(model2, X_reduced, y, cv=kf)\n", "pred33 = cross_val_predict(model3, X_reduced, y, cv=kf)\n", "pred44 = cross_val_predict(model4, X_reduced, y, cv=kf)\n", "pred55 = cross_val_predict(model5, X_reduced, y, cv=kf)\n", "pred66 = cross_val_predict(model6, X_reduced, y, cv=kf)\n", "\n", "# final_predi = np.array([])\n", "# final = np.array([])\n", "# for i in range(240):\n", "# final_predi = np.append(final_predi, ( ((13*pred11[i])+(6*pred22[i])+(6*pred33[i])+(pred44[i])) / 26 ) ) \n", "# final = np.append( final, ( 1 if (( (13*pred11[i]) + (6*pred22[i]) + (6*pred33[i]) + (pred44[i]) ) / 26 ) > 0.5 else 0 ) )\n", "\n", "\n", "\n", "\n", "\n", "import sklearn.metrics as metrics\n", "# calculate the fpr and tpr for all thresholds of the classification\n", "probs1 = cross_val_predict(model1, X_reduced, y, cv=kf, method='predict_proba')\n", "probs2 = cross_val_predict(model2, X_reduced, y, cv=kf, method='predict_proba')\n", "probs3 = cross_val_predict(model3, X_reduced, y, cv=kf, method='predict_proba')\n", "probs4 = cross_val_predict(model4, X_reduced, y, cv=kf, method='predict_proba')\n", "probs5 = cross_val_predict(model5, X_reduced, y, cv=kf, method='predict_proba')\n", "probs6 = cross_val_predict(model6, X_reduced, y, cv=kf, method='predict_proba')\n", "#probs = model1.predict_proba(X)\n", "pred1 = probs1[:,1]\n", "pred2 = probs2[:,1]\n", "pred3 = probs3[:,1]\n", "pred4 = probs4[:,1]\n", "pred5 = probs5[:,1]\n", "pred6 = probs6[:,1]\n", "\n", "\n", "fig = plt.figure(1)\n", "ax = SubplotZero(fig, 111)\n", "fig.add_subplot(ax)\n", "mplot(y, ax)\n", "ax.plot(-0.05, 1.05, ls=\"\", marker=\"^\", ms=10, color=\"k\", clip_on=False)\n", "ax.plot(1.05, -0.05, ls=\"\", marker=\">\", ms=10, color=\"k\", clip_on=False)\n", "ax.set_ylim((-0.05), (1.05))\n", "ax.set_xlim((-0.05), (1.05))\n", "ax.grid(linewidth = 0.4, color='#C3C3C3')\n", "ax.set_facecolor('white')\n", "\n", "plt.xlabel(\"False Positive Rate\")\n", "plt.ylabel(\"True Positive Rate\")\n", "leg = plt.legend(loc=\"lower center\", title = f\"ROC curves\")\n", "\n", "for line in leg.get_lines():\n", " line.set_linewidth(4.0)\n", "\n", "\n", "# axin1 = zoomed_inset_axes(ax, 2.5, loc='right')\n", "# mplot(y, axin1, 2)\n", "# axin1.plot(0.09, 0.89, ls=\"\", marker=\"^\", ms=10, color=\"k\", clip_on=False)\n", "# axin1.plot(0.29, 0.69, ls=\"\", marker=\">\", ms=10, color=\"k\", clip_on=False)\n", "# axin1.set_xlim(0.09, 0.29)\n", "# axin1.set_ylim(0.69, 0.89)\n", "# axin1.grid(linewidth = 0.4, color='#C3C3C3')\n", "# axin1.set_facecolor('white')\n", "# axin1.spines['bottom'].set_color('black')\n", "# axin1.spines['left'].set_color('black')\n", "\n", "#mark_inset(ax, axin1, loc1=1, loc2=3, fc=\"none\", ec=\"0.9\")\n", "\n", "\n", "# plt.savefig(\"ROC_Curve3.png\", format=\"png\", bbox_inches='tight')\n", "plt.savefig(\"ROC_Curve.svg\", format=\"svg\", bbox_inches='tight')\n", "\n", "plt.show()\n", "\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Brier Score" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The Brier score is a common performance metric for evaluating the quality of probabilistic predictions made by a classification model. It measures the mean squared difference between the predicted probabilities and the actual binary outcomes." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Brier score: 0.4793\n" ] } ], "source": [ "from sklearn.metrics import brier_score_loss\n", "\n", "y_prob = cross_val_predict(model, X, y, cv=kf, method='predict_proba')\n", "y_prob = y_prob[:, 1]\n", "\n", "brier_score = brier_score_loss(y, y_prob)\n", "print(\"Brier score: {:.4f}\".format(brier_score))" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Calibration Curve " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "A calibration curve is a plot of predicted probabilities against the actual fraction of positive classes in a dataset. It is a useful tool for evaluating the calibration of a classification model, which refers to how well the predicted probabilities reflect the true probabilities of a positive outcome." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from sklearn.calibration import calibration_curve\n", "import matplotlib.pyplot as plt\n", "\n", "fraction_of_positives, mean_predicted_value = calibration_curve(y, y_prob, n_bins = 10, normalize = True)\n", "plt.figure(figsize=(10,8))\n", "plt.plot([0, 1], [0, 1], 'k--', label = 'Ideally Calibrated')\n", "plt.plot(mean_predicted_value, fraction_of_positives, marker = '.', label = 'LogisticRegression')\n", "leg = plt.legend(loc = 'upper left')\n", "plt.xlabel('Mean predicted value', fontsize=15)\n", "plt.title('LogisticRegression Calibration curve', fontsize=17)\n", "plt.ylabel('Ratio of positives', fontsize=15)\n", "\n", "plt.yticks(fontsize=12)\n", "\n", "# Set tick label font size\n", "plt.tick_params(labelsize=12)\n", "plt.grid(linewidth = 0.4, color='#C3C3C3')\n", "\n", "plt.savefig(\"calibrationcurve_xgb.svg\" , bbox_inches=\"tight\")\n", "plt.show()\n", " " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## SHAP" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### SHAP Scatter Plot" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "module 'shap' has no attribute 'Explainer'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32mc:\\Projects\\New folder\\project.ipynb Cell 38\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 5\u001b[0m model \u001b[39m=\u001b[39m xgb\u001b[39m.\u001b[39mXGBClassifier(booster\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mgblinear\u001b[39m\u001b[39m'\u001b[39m, learning_rate\u001b[39m=\u001b[39m\u001b[39m0.19\u001b[39m)\n\u001b[0;32m 6\u001b[0m model\u001b[39m.\u001b[39mfit(X_reduced, y)\n\u001b[1;32m----> 8\u001b[0m explainer \u001b[39m=\u001b[39m shap\u001b[39m.\u001b[39;49mExplainer(model, X_reduced)\n\u001b[0;32m 9\u001b[0m \u001b[39m# TrainDataFrame = pd.DataFrame(data = X_train, \u001b[39;00m\n\u001b[0;32m 10\u001b[0m \u001b[39m# columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\u001b[39;00m\n\u001b[0;32m 11\u001b[0m \u001b[39m# TestDataFrame = pd.DataFrame(data = X_test, \u001b[39;00m\n\u001b[0;32m 12\u001b[0m \u001b[39m# columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\u001b[39;00m\n\u001b[0;32m 13\u001b[0m DatasetDataFrame \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mDataFrame(data \u001b[39m=\u001b[39m X_reduced, \n\u001b[0;32m 14\u001b[0m columns \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39m2-methylbutyrylcarnitine (C5)\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m5-bromotryptophan\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m 15\u001b[0m \u001b[39m'\u001b[39m\u001b[39malpha-hydroxyisovalerate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcreatine\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcystine\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 36\u001b[0m \u001b[39m'\u001b[39m\u001b[39mferulic acid 4-sulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m4-ethylphenylsulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mp-cresol sulfate\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m 37\u001b[0m \u001b[39m'\u001b[39m\u001b[39mstachydrine\u001b[39m\u001b[39m'\u001b[39m])\n", "\u001b[1;31mAttributeError\u001b[0m: module 'shap' has no attribute 'Explainer'" ] } ], "source": [ "import shap\n", "import matplotlib.pyplot as plt\n", "import xgboost as xgb\n", "import numpy as np\n", "model = xgb.XGBClassifier(booster='gblinear', learning_rate=0.19)\n", "model.fit(X_reduced, y)\n", "\n", "explainer = shap.Explainer(model, X_reduced)\n", "# TrainDataFrame = pd.DataFrame(data = X_train, \n", "# columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n", "# TestDataFrame = pd.DataFrame(data = X_test, \n", "# columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n", "DatasetDataFrame = pd.DataFrame(data = X_reduced, \n", " columns = ['2-methylbutyrylcarnitine (C5)', '5-bromotryptophan',\n", " 'alpha-hydroxyisovalerate', 'creatine', 'cystine',\n", " 'isovalerylcarnitine (C5)', 'N-acetylaspartate (NAA)',\n", " 'N-acetylthreonine', 'N-delta-acetylornithine',\n", " 'N-trimethyl 5-aminovalerate', 'pro-hydroxy-pro', 'sarcosine',\n", " 'alpha-CEHC sulfate', 'gulonate*', 'aconitate [cis or trans]',\n", " 'diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])*',\n", " 'glycerol 3-phosphate', '1-arachidonylglycerol (20:4)',\n", " 'palmitoyl-oleoyl-glycerol (16:0/18:1) [2]*', 'suberate (octanedioate)',\n", " 'andro steroid monosulfate (1)*',\n", " '1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)*',\n", " '1-(1-enyl-palmitoyl)-GPE (P-16:0)*', '1-oleoylglycerol (18:1)',\n", " '1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)*', '1-stearoyl-GPI (18:0)',\n", " 'acetylcarnitine (C2)', 'epiandrosterone sulfate',\n", " 'glycerophosphoethanolamine', 'linoleoylcarnitine (C18:2)*',\n", " 'oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]*',\n", " 'oleoyl-linoleoyl-glycerol (18:1/18:2) [2]', 'palmitoleate (16:1n7)',\n", " 'palmitoylcarnitine (C16)', 'sphingomyelin (d18:2/16:0, d18:1/16:1)*',\n", " 'sphingomyelin (d18:2/24:2)*', 'stearoylcarnitine (C18)',\n", " \"2'-O-methyluridine\", 'hypoxanthine', 'N2,N2-dimethylguanosine',\n", " 'orotidine', 'gamma-glutamylphenylalanine', 'gamma-glutamylthreonine',\n", " 'phenylacetylglutamine', '7-methylurate', 'o-cresol sulfate',\n", " 'ferulic acid 4-sulfate', '4-ethylphenylsulfate', 'p-cresol sulfate',\n", " 'stachydrine'])\n", "#print(DatasetDataFrame.count)\n", "# shap_values = explainer(TrainDataFrame)\n", "\n", "## Train\n", "# for featureName in ['Solid Percentage','Frother Dosage','Collector', 'Airflow', 'Washing Water', 'Froth Level','SG']:\n", "# plt.figure() \n", "# shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n", "# plt.savefig('Scatter_Plots_Train\\\\'+featureName+'.pdf', bbox_inches='tight')\n", "# plt.savefig('Scatter_Plots_Train\\\\'+featureName+'.png', bbox_inches='tight')\n", "# plt.close()\n", "\n", "## Test\n", "# shap_values = explainer(TestDataFrame)\n", "# for featureName in ['Solid Percentage','Frother Dosage','Collector', 'Airflow', 'Washing Water', 'Froth Level','SG']:\n", "# plt.figure() \n", "# shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n", "# plt.savefig('Scatter_Plots_Test\\\\'+featureName+'.pdf', bbox_inches='tight')\n", "# plt.savefig('Scatter_Plots_Test\\\\'+featureName+'.png', bbox_inches='tight')\n", "# plt.close()\n", "## Whole Dataset\n", "shap_values = explainer(DatasetDataFrame)\n", "# for featureName in ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)']:\n", "# plt.figure() \n", "# shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n", "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.pdf', bbox_inches='tight')\n", "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.png', bbox_inches='tight')\n", "# #plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.eps', bbox_inches='tight',format='eps')\n", " \n", "# plt.close()\n", "\n", "#for featureName in ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)']:\n", "plt.figure() \n", "featureName = 'orotidine'\n", "shap.plots.scatter(shap_values[:,featureName], color=shap_values,show=False)\n", "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.pdf', bbox_inches='tight')\n", "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.png', bbox_inches='tight')\n", "# plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.svg', bbox_inches='tight')\n", "#plt.savefig('Scatter_Plots_WholeDataset\\\\'+featureName+'.eps', bbox_inches='tight',format='eps')\n", "\n", "print(shap_values[:,featureName].values.shape)\n", "\n" ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "posx and posy should be finite values\n", "posx and posy should be finite values\n" ] }, { "data": { "image/png": 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", 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270.6965431.0013790.920440-0.373029-2.035875-1.337297-1.292962-0.6045071.480301-1.304220...0.0117390.644981-1.452617-0.511047-0.989723-0.996446-0.6981981.7443090.511322-1.155898
28-0.3676930.057262-0.841961-0.0435450.885225-0.2449251.6617720.879692-0.6918230.059284...0.0087011.0879481.465376-0.4338441.488365-0.422281-0.129534-0.4675990.254703-0.631534
290.0211440.495246-0.334471-0.543423-0.0537110.5410192.5890241.229289-0.3420490.655629...-0.6934931.1985680.403765-0.4445560.364570-0.9964461.9088491.169097-0.3681490.764212
30-0.609148-0.728126-0.5777550.050314-0.333457-0.363633-0.2098791.6098020.3443731.377689...0.7454260.6585240.1370130.1964562.9654940.191442-0.9610860.022827-0.117178-1.000129
310.205949-0.6908640.2379110.006780-0.4804660.680694-1.205433-0.293095-0.781745-0.177691...0.227996-0.6946100.459392-0.437001-0.5046230.556966-0.5518961.1867151.3596482.602704
32-0.3557443.444473-0.584353-1.4227580.6815520.2114090.6573091.7565430.0042301.189040...-1.0728431.5330761.1849670.694464-0.3619920.186154-0.961086-1.760286-0.878966-0.260169
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34-1.016593-0.318600-0.855323-0.9739880.199608-1.0242680.711719-0.5536320.059500-1.125769...0.310603-0.605744-0.968340-0.007441-0.0265812.2454070.530890-1.165487-1.083275-1.032434
35-0.5965900.070717-0.502772-0.6779280.101324-0.436817-0.321939-0.1040660.0363320.657622...-1.186449-0.032154-0.1804570.152208-0.989723-0.996446-0.140776-0.118888-0.467734-0.972649
36-0.179313-0.152866-0.1440551.237940-1.4200170.585453-0.500711-0.199223-0.041748-1.540376...1.189968-1.401435-1.694425-0.407680-0.5321320.882759-0.790354-0.367391-0.7207650.014203
37-0.550955-0.692843-0.5514360.5954840.4539443.193188-0.1592340.055364-0.2384820.360768...0.9583801.097068-0.603176-0.4558001.055413-0.869426-0.9433700.266982-0.7142450.823054
38-0.346549-0.1635940.2631910.6058771.027290-1.199004-0.5716810.311402-0.064933-0.751681...1.479839-0.0808920.008051-0.371746-0.2308570.373862-0.607883-0.154010-0.2201360.185462
39-0.587997-0.634703-0.785522-1.114263-0.4293820.3890130.330032-0.2061281.6800141.278558...-1.5933340.4397360.834816-0.7331351.139196-0.9964462.2613850.0900033.0957080.617827
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42-1.0281370.116833-0.9237051.0938671.532907-0.990608-1.2715480.575351-1.0573631.457336...1.442154-0.1869260.207915-0.224794-0.926353-0.9964460.414907-0.2925490.4235941.481076
43-0.746125-0.171945-0.4652750.4284470.588694-0.3934170.993917-0.3299452.984302-0.589341...1.006214-1.050368-0.152600-0.103163-0.271025-0.1097700.173772-0.677626-0.329691-0.582831
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500.1563611.0660800.3959380.2605540.087655-0.3210090.3630921.579528-0.3810530.862247...0.2125690.3490951.715237-0.474523-0.989723-0.996446-0.4028340.0943732.348743-0.083819
\n", "

51 rows × 50 columns

\n", "
" ], "text/plain": [ " 2-methylbutyrylcarnitine (C5) 5-bromotryptophan \\\n", "0 -0.542576 -0.293139 \n", "1 1.340873 -0.627154 \n", "2 -0.534469 -0.565138 \n", "3 1.753710 -0.893746 \n", "4 -0.837987 -0.820368 \n", "5 -0.841884 -0.572432 \n", "6 0.950530 -0.503678 \n", "7 -0.719712 -0.463777 \n", "8 0.973908 -0.399688 \n", "9 -0.646111 -0.757086 \n", "10 -1.013529 -0.761195 \n", "11 3.406748 0.232900 \n", "12 3.550801 0.256685 \n", "13 1.681127 0.559894 \n", "14 -0.658624 -0.467680 \n", "15 0.066680 -0.255615 \n", "16 -0.109534 -0.832288 \n", "17 1.235532 0.075950 \n", "18 -0.240341 -0.751254 \n", "19 -0.262438 -0.311625 \n", "20 0.471817 -0.521288 \n", "21 -0.463925 -0.628320 \n", "22 -0.734555 0.176015 \n", "23 -0.396529 1.464689 \n", "24 1.360644 -0.635216 \n", "25 -0.206434 -0.699832 \n", "26 0.147337 -0.214833 \n", "27 0.696543 1.001379 \n", "28 -0.367693 0.057262 \n", "29 0.021144 0.495246 \n", "30 -0.609148 -0.728126 \n", "31 0.205949 -0.690864 \n", "32 -0.355744 3.444473 \n", "33 -0.175160 -0.215023 \n", "34 -1.016593 -0.318600 \n", "35 -0.596590 0.070717 \n", "36 -0.179313 -0.152866 \n", "37 -0.550955 -0.692843 \n", "38 -0.346549 -0.163594 \n", "39 -0.587997 -0.634703 \n", "40 -0.321702 2.014898 \n", "41 -0.356998 -0.944502 \n", "42 -1.028137 0.116833 \n", "43 -0.746125 -0.171945 \n", "44 -0.993310 -0.392473 \n", "45 -0.232640 0.927717 \n", "46 -0.880127 4.048111 \n", "47 -0.226098 -0.492392 \n", "48 0.579847 0.256724 \n", "49 -0.820025 1.307707 \n", "50 0.156361 1.066080 \n", "\n", " alpha-hydroxyisovalerate creatine cystine isovalerylcarnitine (C5) \\\n", "0 -0.288080 0.688078 0.377437 -0.576673 \n", "1 0.356639 -1.586773 -1.009534 -0.417633 \n", "2 -0.486149 -1.645625 0.864911 -1.246499 \n", "3 3.311487 0.560470 -0.249494 -0.753670 \n", "4 -0.575060 -0.276813 -0.087038 -0.658370 \n", "5 -1.073200 -1.438284 0.390584 -0.912548 \n", "6 1.339452 -0.326342 -1.559419 0.274303 \n", "7 -0.366525 -0.676921 -0.062112 -0.757229 \n", "8 1.383770 -0.758698 -1.603685 0.542557 \n", "9 -0.540587 -1.157480 -0.383399 -0.025936 \n", "10 -0.834249 -0.451286 -0.678862 -0.810027 \n", "11 2.365282 -0.552625 -0.848354 -0.760878 \n", "12 2.553644 -0.189363 -1.084026 -0.205517 \n", "13 1.612028 0.381288 0.438959 0.043843 \n", "14 -0.662275 -1.524474 -1.603439 -1.021942 \n", "15 1.674881 0.746921 0.003100 -0.015905 \n", "16 -0.617388 -1.063756 -1.027828 0.846459 \n", "17 1.180378 0.607025 -0.323699 -0.846024 \n", "18 -0.321818 1.255535 0.756886 -0.790326 \n", "19 -0.677677 0.144447 -0.510041 0.602247 \n", "20 0.843382 2.074873 -0.422731 0.106427 \n", "21 -0.075290 -1.714332 -1.396035 2.186924 \n", "22 -0.491739 1.107521 -0.252350 -0.568398 \n", "23 -0.412523 1.848704 1.395925 -0.987062 \n", "24 0.613859 0.459088 0.566722 -0.568980 \n", "25 -0.274952 1.181301 1.560711 1.671320 \n", "26 -1.169688 -1.541117 -1.114438 0.934253 \n", "27 0.920440 -0.373029 -2.035875 -1.337297 \n", "28 -0.841961 -0.043545 0.885225 -0.244925 \n", "29 -0.334471 -0.543423 -0.053711 0.541019 \n", "30 -0.577755 0.050314 -0.333457 -0.363633 \n", "31 0.237911 0.006780 -0.480466 0.680694 \n", "32 -0.584353 -1.422758 0.681552 0.211409 \n", "33 0.550539 0.810612 -0.566301 -0.841742 \n", "34 -0.855323 -0.973988 0.199608 -1.024268 \n", "35 -0.502772 -0.677928 0.101324 -0.436817 \n", "36 -0.144055 1.237940 -1.420017 0.585453 \n", "37 -0.551436 0.595484 0.453944 3.193188 \n", "38 0.263191 0.605877 1.027290 -1.199004 \n", "39 -0.785522 -1.114263 -0.429382 0.389013 \n", "40 -0.481048 1.618412 0.930811 1.108705 \n", "41 -0.855377 0.820325 -0.116708 0.795669 \n", "42 -0.923705 1.093867 1.532907 -0.990608 \n", "43 -0.465275 0.428447 0.588694 -0.393417 \n", "44 -0.716049 0.271083 0.924772 -1.143467 \n", "45 -0.280335 0.453599 2.351110 1.217595 \n", "46 -0.929489 1.821393 2.349181 0.536588 \n", "47 0.658645 0.399418 1.773537 1.746357 \n", "48 -0.667737 -1.063234 -0.501081 2.275300 \n", "49 -0.897604 -0.413301 -0.089367 -0.269522 \n", "50 0.395938 0.260554 0.087655 -0.321009 \n", "\n", " N-acetylaspartate (NAA) N-acetylthreonine N-delta-acetylornithine \\\n", "0 -0.337930 -0.897691 1.032811 \n", "1 0.091068 -1.474600 -0.814704 \n", "2 -1.209814 1.126468 -1.143237 \n", "3 -1.203073 -0.181177 -1.295795 \n", "4 0.834689 -0.984130 -0.592073 \n", "5 0.171984 0.726557 0.154166 \n", "6 -0.901683 0.447019 0.745030 \n", "7 0.142617 -0.566206 -1.484094 \n", "8 -0.544105 -1.408086 -0.827848 \n", "9 -1.322109 -0.992074 -0.839120 \n", "10 -0.952797 -1.043558 -0.465679 \n", "11 -0.551630 -1.330711 -1.195742 \n", "12 0.042827 -0.379963 1.759290 \n", "13 -1.249611 -0.655431 -0.491200 \n", "14 -0.884750 0.345352 -0.259991 \n", "15 -0.541808 -0.518430 -0.049078 \n", "16 1.273421 -1.038762 -1.054813 \n", "17 0.000759 0.623127 -0.201743 \n", "18 -0.658539 0.105662 -0.862340 \n", "19 -0.363457 -0.706157 -0.357957 \n", "20 3.403259 1.518650 0.986548 \n", "21 -0.968876 0.410169 -0.116101 \n", "22 -0.242876 -0.400069 -1.043042 \n", "23 1.325571 1.517958 1.049290 \n", "24 0.587061 0.028963 -0.642670 \n", "25 0.802179 -1.154701 0.361941 \n", "26 0.055620 -1.010795 0.691651 \n", "27 -1.292962 -0.604507 1.480301 \n", "28 1.661772 0.879692 -0.691823 \n", "29 2.589024 1.229289 -0.342049 \n", "30 -0.209879 1.609802 0.344373 \n", "31 -1.205433 -0.293095 -0.781745 \n", "32 0.657309 1.756543 0.004230 \n", "33 0.100538 0.078503 -0.094503 \n", "34 0.711719 -0.553632 0.059500 \n", "35 -0.321939 -0.104066 0.036332 \n", "36 -0.500711 -0.199223 -0.041748 \n", "37 -0.159234 0.055364 -0.238482 \n", "38 -0.571681 0.311402 -0.064933 \n", "39 0.330032 -0.206128 1.680014 \n", "40 0.196288 -0.637434 1.554547 \n", "41 -1.121996 1.077374 -0.337519 \n", "42 -1.271548 0.575351 -1.057363 \n", "43 0.993917 -0.329945 2.984302 \n", "44 -0.127662 -0.079873 0.722754 \n", "45 1.813453 -1.978914 -0.282873 \n", "46 0.538186 1.528472 -0.184515 \n", "47 -0.781227 2.279644 1.960108 \n", "48 0.528291 1.330544 2.143841 \n", "49 0.282655 -1.412074 -1.515198 \n", "50 0.363092 1.579528 -0.381053 \n", "\n", " N-trimethyl 5-aminovalerate ... orotidine gamma-glutamylphenylalanine \\\n", "0 -0.330524 ... 0.333506 -0.267687 \n", "1 -1.373961 ... -1.667155 -0.911381 \n", "2 0.634469 ... 0.131175 0.313852 \n", "3 0.312043 ... 0.604664 -0.088887 \n", "4 -1.310020 ... -0.855873 -0.735918 \n", "5 -0.434197 ... -0.125464 -1.104093 \n", "6 -1.213988 ... 0.258726 -1.071045 \n", "7 -0.034700 ... -1.620487 -1.476207 \n", "8 0.430725 ... -0.545438 -0.890468 \n", "9 -0.623351 ... -0.009981 -1.043695 \n", "10 -1.024771 ... -0.348150 -1.378285 \n", "11 1.202265 ... 0.904079 0.261949 \n", "12 0.881724 ... -2.433815 -0.835774 \n", "13 -1.412636 ... -0.483397 0.660442 \n", "14 -1.491051 ... -1.379535 -1.422184 \n", "15 -0.921801 ... 0.631001 0.375220 \n", "16 -0.133875 ... -1.544529 -0.012542 \n", "17 0.345521 ... -1.395213 -0.509272 \n", "18 -1.238765 ... 1.738417 0.307172 \n", "19 -1.311498 ... -0.514745 -0.243001 \n", "20 0.087831 ... 0.529945 -1.052982 \n", "21 0.039235 ... -0.561384 -0.407003 \n", "22 0.368351 ... 0.087743 1.335276 \n", "23 0.576621 ... 1.044446 -0.297422 \n", "24 1.770440 ... 0.882991 0.203448 \n", "25 0.092407 ... 0.118604 0.983867 \n", "26 -1.088071 ... -1.319096 3.439666 \n", "27 -1.304220 ... 0.011739 0.644981 \n", "28 0.059284 ... 0.008701 1.087948 \n", "29 0.655629 ... -0.693493 1.198568 \n", "30 1.377689 ... 0.745426 0.658524 \n", "31 -0.177691 ... 0.227996 -0.694610 \n", "32 1.189040 ... -1.072843 1.533076 \n", "33 -0.796111 ... 0.404394 -0.174336 \n", "34 -1.125769 ... 0.310603 -0.605744 \n", "35 0.657622 ... -1.186449 -0.032154 \n", "36 -1.540376 ... 1.189968 -1.401435 \n", "37 0.360768 ... 0.958380 1.097068 \n", "38 -0.751681 ... 1.479839 -0.080892 \n", "39 1.278558 ... -1.593334 0.439736 \n", "40 0.940946 ... 1.359717 0.448359 \n", "41 -1.200961 ... 1.331601 0.659628 \n", "42 1.457336 ... 1.442154 -0.186926 \n", "43 -0.589341 ... 1.006214 -1.050368 \n", "44 0.424145 ... -0.561770 0.132058 \n", "45 2.419849 ... 0.028054 2.617281 \n", "46 0.557739 ... 1.331462 -1.414522 \n", "47 1.843025 ... 1.546490 -0.202126 \n", "48 0.423512 ... -0.271007 0.673204 \n", "49 0.180339 ... -0.677447 0.170546 \n", "50 0.862247 ... 0.212569 0.349095 \n", "\n", " gamma-glutamylthreonine phenylacetylglutamine 7-methylurate \\\n", "0 -1.224637 -0.344916 0.347300 \n", "1 0.040076 0.797383 -0.118782 \n", "2 0.013446 0.589295 -0.989723 \n", "3 -0.438065 -0.410447 -0.989723 \n", "4 -1.035859 -0.542822 -0.394081 \n", "5 -0.148857 0.712356 -0.076931 \n", "6 -1.353704 5.371158 0.121267 \n", "7 0.678664 -0.620527 -0.126519 \n", "8 0.168302 -0.244048 -0.989723 \n", "9 -1.083979 -0.360479 -0.644395 \n", "10 -1.425436 -0.587715 -0.004563 \n", "11 0.966831 2.046061 -0.604581 \n", "12 -0.432810 -0.358964 -0.101124 \n", "13 -0.264486 0.728831 -0.989723 \n", "14 -1.338770 2.425141 -0.395687 \n", "15 -0.444561 -0.359825 -0.323845 \n", "16 -1.005845 -0.623117 -0.989723 \n", "17 0.134856 -0.606290 -0.085571 \n", "18 -0.449450 0.854302 -0.261458 \n", "19 0.490011 -0.606077 1.108413 \n", "20 0.533252 -0.615876 2.081206 \n", "21 -0.605232 -0.576663 0.063253 \n", "22 0.422687 -0.390812 -0.989723 \n", "23 1.744550 0.767925 0.204934 \n", "24 1.463379 -0.072153 -0.989723 \n", "25 1.828934 -0.475985 -0.989723 \n", "26 0.559807 -0.635268 0.566698 \n", "27 -1.452617 -0.511047 -0.989723 \n", "28 1.465376 -0.433844 1.488365 \n", "29 0.403765 -0.444556 0.364570 \n", "30 0.137013 0.196456 2.965494 \n", "31 0.459392 -0.437001 -0.504623 \n", "32 1.184967 0.694464 -0.361992 \n", "33 0.699999 -0.420293 -0.989723 \n", "34 -0.968340 -0.007441 -0.026581 \n", "35 -0.180457 0.152208 -0.989723 \n", "36 -1.694425 -0.407680 -0.532132 \n", "37 -0.603176 -0.455800 1.055413 \n", "38 0.008051 -0.371746 -0.230857 \n", "39 0.834816 -0.733135 1.139196 \n", "40 0.980239 -0.208027 1.945672 \n", "41 -1.009229 -0.117866 -0.989723 \n", "42 0.207915 -0.224794 -0.926353 \n", "43 -0.152600 -0.103163 -0.271025 \n", "44 0.045847 -0.538226 0.232658 \n", "45 0.002201 -0.516899 -0.390780 \n", "46 -1.042580 -0.253853 0.525223 \n", "47 -0.062801 -0.283637 2.930912 \n", "48 2.858541 0.613168 0.508080 \n", "49 -1.630240 -0.573236 1.599618 \n", "50 1.715237 -0.474523 -0.989723 \n", "\n", " o-cresol sulfate ferulic acid 4-sulfate 4-ethylphenylsulfate \\\n", "0 -0.535747 -0.798051 -0.052097 \n", "1 0.322001 -0.584960 -0.855181 \n", "2 -0.791327 -0.910544 -1.045751 \n", "3 0.327514 1.259316 -0.592873 \n", "4 -0.492790 -0.196227 -0.705337 \n", "5 0.122030 -0.337999 -0.401953 \n", "6 -0.204051 -0.857973 -0.124315 \n", "7 3.813687 -0.791882 -0.899240 \n", "8 0.939535 -0.868613 -0.802387 \n", "9 0.867229 -0.233458 -0.269882 \n", "10 2.846276 -0.288053 -0.017587 \n", "11 0.742449 -0.614867 -0.681681 \n", "12 0.591400 -0.961086 -1.150798 \n", "13 0.426127 -0.395389 -0.612480 \n", "14 -0.996446 0.226804 -0.400889 \n", "15 0.412962 -0.663234 -0.176741 \n", "16 -0.278993 -0.961086 -0.196883 \n", "17 0.618197 0.524094 -0.289391 \n", "18 -0.158201 0.005621 0.487077 \n", "19 -0.681096 0.887102 -0.861383 \n", "20 1.400630 0.475662 3.364360 \n", "21 -0.996446 0.518543 0.104399 \n", "22 -0.734411 -0.108154 0.269686 \n", "23 -0.353973 -0.449933 0.599318 \n", "24 -0.129421 2.165283 -0.259605 \n", "25 0.427815 0.194412 1.329628 \n", "26 -0.996446 -0.546682 -0.626809 \n", "27 -0.996446 -0.698198 1.744309 \n", "28 -0.422281 -0.129534 -0.467599 \n", "29 -0.996446 1.908849 1.169097 \n", "30 0.191442 -0.961086 0.022827 \n", "31 0.556966 -0.551896 1.186715 \n", "32 0.186154 -0.961086 -1.760286 \n", "33 -0.451800 -0.631255 -0.907290 \n", "34 2.245407 0.530890 -1.165487 \n", "35 -0.996446 -0.140776 -0.118888 \n", "36 0.882759 -0.790354 -0.367391 \n", "37 -0.869426 -0.943370 0.266982 \n", "38 0.373862 -0.607883 -0.154010 \n", "39 -0.996446 2.261385 0.090003 \n", "40 -0.996446 1.258251 0.750014 \n", "41 0.018082 3.277144 0.339225 \n", "42 -0.996446 0.414907 -0.292549 \n", "43 -0.109770 0.173772 -0.677626 \n", "44 -0.912079 -0.458297 0.371993 \n", "45 0.657810 -0.232770 2.008808 \n", "46 0.153859 2.643531 -0.150858 \n", "47 -0.996446 -0.525161 0.862834 \n", "48 -0.632843 0.747131 3.177911 \n", "49 -0.405080 -0.870008 -1.154314 \n", "50 -0.996446 -0.402834 0.094373 \n", "\n", " p-cresol sulfate stachydrine \n", "0 -0.090113 -0.977788 \n", "1 -0.983521 -0.212440 \n", "2 -0.944496 -0.632435 \n", "3 -0.418351 0.208449 \n", "4 -0.189566 1.136677 \n", "5 -0.698265 -1.029030 \n", "6 -0.738951 1.495889 \n", "7 -0.437093 -1.153123 \n", "8 -0.725323 -0.627984 \n", "9 0.076057 0.169524 \n", "10 -0.698468 -1.039448 \n", "11 -0.216823 0.152921 \n", "12 -0.976565 -0.700630 \n", "13 -0.551012 -0.377193 \n", "14 -0.639516 -1.402058 \n", "15 -0.591178 -1.243901 \n", "16 0.099634 -1.017337 \n", "17 0.762557 -0.426524 \n", "18 -0.232890 -0.621285 \n", "19 -0.884697 -0.837280 \n", "20 -0.724847 -0.242266 \n", "21 -0.703418 1.082406 \n", "22 0.851559 -0.054168 \n", "23 2.000761 2.181512 \n", "24 -0.358982 1.965989 \n", "25 2.173420 -0.223650 \n", "26 -0.532961 1.710016 \n", "27 0.511322 -1.155898 \n", "28 0.254703 -0.631534 \n", "29 -0.368149 0.764212 \n", "30 -0.117178 -1.000129 \n", "31 1.359648 2.602704 \n", "32 -0.878966 -0.260169 \n", "33 0.024983 -0.810768 \n", "34 -1.083275 -1.032434 \n", "35 -0.467734 -0.972649 \n", "36 -0.720765 0.014203 \n", "37 -0.714245 0.823054 \n", "38 -0.220136 0.185462 \n", "39 3.095708 0.617827 \n", "40 2.710801 1.856340 \n", "41 -0.133391 -0.301537 \n", "42 0.423594 1.481076 \n", "43 -0.329691 -0.582831 \n", "44 1.681939 0.182632 \n", "45 0.309306 1.177326 \n", "46 -0.172069 0.954232 \n", "47 0.204905 -0.149505 \n", "48 -0.479360 -0.405357 \n", "49 -0.867644 -0.557280 \n", "50 2.348743 -0.083819 \n", "\n", "[51 rows x 50 columns]" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "DatasetDataFrame" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### SHAP Bee Swarm Plot" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "explainer = shap.Explainer(regressor)\n", "TrainDataFrame = pd.DataFrame(data = X_train, \n", " columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n", "TestDataFrame = pd.DataFrame(data = X_test, \n", " columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n", "\n", "DatasetDataFrame = pd.DataFrame(data = X, \n", " columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n", "\n", "## Train\n", "shap_values = explainer(TrainDataFrame)\n", "plt.figure() \n", "shap.plots.beeswarm(shap_values, show=False)\n", "plt.savefig('Other_Plots\\\\Beeswarm_Train.pdf', bbox_inches='tight')\n", "plt.savefig('Other_Plots\\\\Beeswarm_Train.png', bbox_inches='tight')\n", "plt.close()\n", "\n", "## Test\n", "shap_values = explainer(TestDataFrame)\n", "plt.figure() \n", "shap.plots.beeswarm(shap_values, show=False)\n", "plt.savefig('Other_Plots\\\\Beeswarm_Test.pdf', bbox_inches='tight')\n", "plt.savefig('Other_Plots\\\\Beeswarm_Test.png', bbox_inches='tight')\n", "plt.close()\n", "\n", "## Whole Dataset\n", "shap_values = explainer(DatasetDataFrame)\n", "plt.figure() \n", "shap.plots.beeswarm(shap_values, show=False)\n", "plt.savefig('Other_Plots\\\\Beeswarm_WholeDataset.pdf', bbox_inches='tight')\n", "plt.savefig('Other_Plots\\\\Beeswarm_WholeDataset.png', bbox_inches='tight')\n", "plt.savefig('Other_Plots\\\\Beeswarm_WholeDataset.svg', bbox_inches='tight')\n", "plt.close()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Shap Simplified plot" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "Shape of passed values is (51, 832), indices imply (51, 11)", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32mc:\\Projects\\New folder\\project.ipynb Cell 44\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpyplot\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mplt\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mshap\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m DatasetDataFrame \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39;49mDataFrame(data \u001b[39m=\u001b[39;49m X, \n\u001b[0;32m 5\u001b[0m columns \u001b[39m=\u001b[39;49m [\u001b[39m'\u001b[39;49m\u001b[39mFeed Rate\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39m Hopper Level\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mRoller Speed\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mWorking Gap\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mWorking Pressure\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mPower-FIX\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mPower-FLOAT\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mFe\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mFeO\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mRatio\u001b[39;49m\u001b[39m'\u001b[39;49m,\u001b[39m'\u001b[39;49m\u001b[39mK80(Input)\u001b[39;49m\u001b[39m'\u001b[39;49m])\n\u001b[0;32m 7\u001b[0m shap_values \u001b[39m=\u001b[39m shap\u001b[39m.\u001b[39mTreeExplainer(regressor)\u001b[39m.\u001b[39mshap_values(DatasetDataFrame)\n\u001b[0;32m 9\u001b[0m \u001b[39m# shap.summary_plot(shap_values, DatasetDataFrame, plot_type=\"bar\")\u001b[39;00m\n", "File \u001b[1;32mc:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:694\u001b[0m, in \u001b[0;36mDataFrame.__init__\u001b[1;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[0;32m 684\u001b[0m mgr \u001b[39m=\u001b[39m dict_to_mgr(\n\u001b[0;32m 685\u001b[0m \u001b[39m# error: Item \"ndarray\" of \"Union[ndarray, Series, Index]\" has no\u001b[39;00m\n\u001b[0;32m 686\u001b[0m \u001b[39m# attribute \"name\"\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 691\u001b[0m typ\u001b[39m=\u001b[39mmanager,\n\u001b[0;32m 692\u001b[0m )\n\u001b[0;32m 693\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 694\u001b[0m mgr \u001b[39m=\u001b[39m ndarray_to_mgr(\n\u001b[0;32m 695\u001b[0m data,\n\u001b[0;32m 696\u001b[0m index,\n\u001b[0;32m 697\u001b[0m columns,\n\u001b[0;32m 698\u001b[0m dtype\u001b[39m=\u001b[39;49mdtype,\n\u001b[0;32m 699\u001b[0m copy\u001b[39m=\u001b[39;49mcopy,\n\u001b[0;32m 700\u001b[0m typ\u001b[39m=\u001b[39;49mmanager,\n\u001b[0;32m 701\u001b[0m )\n\u001b[0;32m 703\u001b[0m \u001b[39m# For data is list-like, or Iterable (will consume into list)\u001b[39;00m\n\u001b[0;32m 704\u001b[0m \u001b[39melif\u001b[39;00m is_list_like(data):\n", "File \u001b[1;32mc:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py:351\u001b[0m, in \u001b[0;36mndarray_to_mgr\u001b[1;34m(values, index, columns, dtype, copy, typ)\u001b[0m\n\u001b[0;32m 346\u001b[0m \u001b[39m# _prep_ndarray ensures that values.ndim == 2 at this point\u001b[39;00m\n\u001b[0;32m 347\u001b[0m index, columns \u001b[39m=\u001b[39m _get_axes(\n\u001b[0;32m 348\u001b[0m values\u001b[39m.\u001b[39mshape[\u001b[39m0\u001b[39m], values\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m], index\u001b[39m=\u001b[39mindex, columns\u001b[39m=\u001b[39mcolumns\n\u001b[0;32m 349\u001b[0m )\n\u001b[1;32m--> 351\u001b[0m _check_values_indices_shape_match(values, index, columns)\n\u001b[0;32m 353\u001b[0m \u001b[39mif\u001b[39;00m typ \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39marray\u001b[39m\u001b[39m\"\u001b[39m:\n\u001b[0;32m 355\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39missubclass\u001b[39m(values\u001b[39m.\u001b[39mdtype\u001b[39m.\u001b[39mtype, \u001b[39mstr\u001b[39m):\n", "File \u001b[1;32mc:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py:422\u001b[0m, in \u001b[0;36m_check_values_indices_shape_match\u001b[1;34m(values, index, columns)\u001b[0m\n\u001b[0;32m 420\u001b[0m passed \u001b[39m=\u001b[39m values\u001b[39m.\u001b[39mshape\n\u001b[0;32m 421\u001b[0m implied \u001b[39m=\u001b[39m (\u001b[39mlen\u001b[39m(index), \u001b[39mlen\u001b[39m(columns))\n\u001b[1;32m--> 422\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mShape of passed values is \u001b[39m\u001b[39m{\u001b[39;00mpassed\u001b[39m}\u001b[39;00m\u001b[39m, indices imply \u001b[39m\u001b[39m{\u001b[39;00mimplied\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n", "\u001b[1;31mValueError\u001b[0m: Shape of passed values is (51, 832), indices imply (51, 11)" ] } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import shap\n", "DatasetDataFrame = pd.DataFrame(data = X, \n", " columns = ['Feed Rate',' Hopper Level','Roller Speed','Working Gap','Working Pressure','Power-FIX','Power-FLOAT','Fe','FeO','Ratio','K80(Input)'])\n", "\n", "shap_values = shap.TreeExplainer(regressor).shap_values(DatasetDataFrame)\n", "\n", "# shap.summary_plot(shap_values, DatasetDataFrame, plot_type=\"bar\")\n", "def ABS_SHAP(df_shap,df):\n", " #import matplotlib as plt\n", " # Make a copy of the input data\n", " shap_v = pd.DataFrame(df_shap)\n", " feature_list = df.columns\n", " shap_v.columns = feature_list\n", " df_v = df.copy().reset_index().drop('index',axis=1)\n", " \n", " # Determine the correlation in order to plot with different colors\n", " corr_list = list()\n", " for i in feature_list:\n", " #print(df_v[i])\n", " b = np.corrcoef(shap_v[i],df_v[i])[1][0]\n", " corr_list.append(b)\n", " corr_df = pd.concat([pd.Series(feature_list),pd.Series(corr_list)],axis=1).fillna(0)\n", " # Make a data frame. Column 1 is the feature, and Column 2 is the correlation coefficient\n", " corr_df.columns = ['Variable','Corr']\n", " corr_df['Sign'] = np.where(corr_df['Corr']>0,'red','blue')\n", " \n", " # Plot it\n", " plt.figure()\n", " shap_abs = np.abs(shap_v)\n", " k=pd.DataFrame(shap_abs.mean()).reset_index()\n", " k.columns = ['Variable','SHAP_abs']\n", " k2 = k.merge(corr_df,left_on = 'Variable',right_on='Variable',how='inner')\n", " k2 = k2.sort_values(by='SHAP_abs',ascending = True)\n", " print(k2)\n", " colorlist = k2['Sign']\n", " ax = k2.plot.barh(x='Variable',y='SHAP_abs',color = colorlist, figsize=(5,6),legend=False)\n", " #ax.set_xlabel(\"SHAP Value (Red = Positive Impact)\")\n", " ax.set_xlabel(\"Mean SHAP Value (Red = Positive Impact)\")\n", " \n", " plt.savefig('Other_Plots\\\\SHAP_Simplified_Plot.pdf', bbox_inches='tight')\n", " plt.savefig('Other_Plots\\\\SHAP_Simplified_Plot.png', bbox_inches='tight')\n", " plt.savefig('Other_Plots\\\\SHAP_Simplified_Plot.svg', bbox_inches='tight')\n", " plt.close()\n", "\n", " \n", " \n", "# ABS_SHAP(shap_values,DatasetDataFrame) \n", "ABS_SHAP(shap_values,DatasetDataFrame) " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "module 'shap' has no attribute 'Explainer'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32mc:\\Projects\\New folder\\project.ipynb Cell 45\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 5\u001b[0m model \u001b[39m=\u001b[39m xgb\u001b[39m.\u001b[39mXGBClassifier(booster\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mgblinear\u001b[39m\u001b[39m'\u001b[39m, learning_rate\u001b[39m=\u001b[39m\u001b[39m0.19\u001b[39m)\n\u001b[0;32m 6\u001b[0m model\u001b[39m.\u001b[39mfit(X_reduced, y)\n\u001b[1;32m----> 8\u001b[0m explainer \u001b[39m=\u001b[39m shap\u001b[39m.\u001b[39;49mExplainer(model, X_reduced)\n\u001b[0;32m 9\u001b[0m DatasetDataFrame \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mDataFrame(data \u001b[39m=\u001b[39m X_reduced, \n\u001b[0;32m 10\u001b[0m columns \u001b[39m=\u001b[39m [\u001b[39m'\u001b[39m\u001b[39m2-methylbutyrylcarnitine (C5)\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m5-bromotryptophan\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m 11\u001b[0m \u001b[39m'\u001b[39m\u001b[39malpha-hydroxyisovalerate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcreatine\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mcystine\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 32\u001b[0m \u001b[39m'\u001b[39m\u001b[39mferulic acid 4-sulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39m4-ethylphenylsulfate\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mp-cresol sulfate\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m 33\u001b[0m \u001b[39m'\u001b[39m\u001b[39mstachydrine\u001b[39m\u001b[39m'\u001b[39m])\n\u001b[0;32m 34\u001b[0m shap_values \u001b[39m=\u001b[39m explainer(DatasetDataFrame)\n", "\u001b[1;31mAttributeError\u001b[0m: module 'shap' has no attribute 'Explainer'" ] } ], "source": [ "import shap\n", "import matplotlib.pyplot as plt\n", "import xgboost as xgb\n", "import numpy as np\n", "model = xgb.XGBClassifier(booster='gblinear', learning_rate=0.19)\n", "model.fit(X_reduced, y)\n", "\n", "explainer = shap.Explainer(model, X_reduced)\n", "DatasetDataFrame = pd.DataFrame(data = X_reduced, \n", " columns = ['2-methylbutyrylcarnitine (C5)', '5-bromotryptophan',\n", " 'alpha-hydroxyisovalerate', 'creatine', 'cystine',\n", " 'isovalerylcarnitine (C5)', 'N-acetylaspartate (NAA)',\n", " 'N-acetylthreonine', 'N-delta-acetylornithine',\n", " 'N-trimethyl 5-aminovalerate', 'pro-hydroxy-pro', 'sarcosine',\n", " 'alpha-CEHC sulfate', 'gulonate*', 'aconitate [cis or trans]',\n", " 'diacylglycerol (16:1/18:2 [2], 16:0/18:3 [1])*',\n", " 'glycerol 3-phosphate', '1-arachidonylglycerol (20:4)',\n", " 'palmitoyl-oleoyl-glycerol (16:0/18:1) [2]*', 'suberate (octanedioate)',\n", " 'andro steroid monosulfate (1)*',\n", " '1-(1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4)*',\n", " '1-(1-enyl-palmitoyl)-GPE (P-16:0)*', '1-oleoylglycerol (18:1)',\n", " '1-palmitoleoyl-2-linoleoyl-GPC (16:1/18:2)*', '1-stearoyl-GPI (18:0)',\n", " 'acetylcarnitine (C2)', 'epiandrosterone sulfate',\n", " 'glycerophosphoethanolamine', 'linoleoylcarnitine (C18:2)*',\n", " 'oleoyl-arachidonoyl-glycerol (18:1/20:4) [1]*',\n", " 'oleoyl-linoleoyl-glycerol (18:1/18:2) [2]', 'palmitoleate (16:1n7)',\n", " 'palmitoylcarnitine (C16)', 'sphingomyelin (d18:2/16:0, d18:1/16:1)*',\n", " 'sphingomyelin (d18:2/24:2)*', 'stearoylcarnitine (C18)',\n", " \"2'-O-methyluridine\", 'hypoxanthine', 'N2,N2-dimethylguanosine',\n", " 'orotidine', 'gamma-glutamylphenylalanine', 'gamma-glutamylthreonine',\n", " 'phenylacetylglutamine', '7-methylurate', 'o-cresol sulfate',\n", " 'ferulic acid 4-sulfate', '4-ethylphenylsulfate', 'p-cresol sulfate',\n", " 'stachydrine'])\n", "shap_values = explainer(DatasetDataFrame)\n", "\n", "shap.plots.bar(shap_values)" ] } ], "metadata": { "kernelspec": { "display_name": "base", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "ad2bdc8ecc057115af97d19610ffacc2b4e99fae6737bb82f5d7fb13d2f2c186" } } }, "nbformat": 4, "nbformat_minor": 2 }