327 lines
201 KiB
Plaintext
327 lines
201 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# K Nears Neigbhor"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Confusion Matrix:\n",
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"[[ 97 347 147]\n",
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" [ 1 580 10]\n",
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" [ 3 120 468]]\n",
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"\n",
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"Classification Report:\n",
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" precision recall f1-score support\n",
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"\n",
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" Negatif 0.96 0.16 0.28 591\n",
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" Netral 0.55 0.98 0.71 591\n",
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" Positif 0.75 0.79 0.77 591\n",
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"\n",
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" accuracy 0.65 1773\n",
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" macro avg 0.75 0.65 0.59 1773\n",
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"weighted avg 0.75 0.65 0.59 1773\n",
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"\n",
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"\n",
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"Cross-Validation Scores:\n",
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"[0.56401579 0.57473209 0.64241399 0.75747321 0.67287084]\n",
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"Mean Cross-Validation Score: 0.6423\n",
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"Standard Deviation of Cross-Validation Scores: 0.0706\n"
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]
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}
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],
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"source": [
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"# Import library yang diperlukan\n",
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"import pandas as pd\n",
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"from sklearn.model_selection import train_test_split, cross_val_score, GridSearchCV\n",
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"from sklearn.neighbors import KNeighborsClassifier\n",
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"from sklearn.metrics import classification_report, confusion_matrix\n",
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"\n",
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"# Membaca dataset yang sudah di-balance\n",
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"df_balanced = pd.read_csv('data-analisis/datasets-balanced.csv')\n",
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"\n",
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"# Memisahkan fitur dan label\n",
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"X = df_balanced.drop(columns=['label']) # Menghapus kolom label\n",
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"y = df_balanced['label'] # Mengambil kolom label\n",
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"\n",
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"# Membagi dataset menjadi data latih (80%) dan data uji 20%)\n",
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"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
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"\n",
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"# Mencari nilai K optimal menggunakan GridSearchCV\n",
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"param_grid = {'n_neighbors': range(1, 11)} # Mencoba nilai K dari 1 hingga 10\n",
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"knn = KNeighborsClassifier()\n",
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"grid_search = GridSearchCV(knn, param_grid, cv=5) # Menggunakan 5-fold cross-validation\n",
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"grid_search.fit(X_train, y_train)\n",
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"\n",
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"# Menampilkan nilai K optimal\n",
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"optimal_k = grid_search.best_params_['n_neighbors']\n",
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"print(f\"Optimal K={optimal_k}\")\n",
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"\n",
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"# Membuat model KNN dengan K optimal\n",
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"knn_model = KNeighborsClassifier(n_neighbors=#optimal_k\n",
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" 3) # Menggunakan K=3\n",
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"knn_model.fit(X_train, y_train)\n",
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"\n",
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"# Melakukan prediksi pada data uji\n",
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"y_pred = knn_model.predict(X_test)\n",
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"\n",
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"# Menampilkan hasil evaluasi\n",
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"print(\"Confusion Matrix:\")\n",
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"print(confusion_matrix(y_test, y_pred))\n",
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"print(\"\\nClassification Report:\")\n",
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"print(classification_report(y_test, y_pred))\n",
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"\n",
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"# Evaluasi model menggunakan cross-validation\n",
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"cv_scores = cross_val_score(knn_model, X, y, cv=5) # Menggunakan 5-fold cross-validation\n",
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"\n",
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"# Menampilkan hasil cross-validation\n",
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"print(\"\\nCross-Validation Scores:\")\n",
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"print(cv_scores)\n",
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"print(f\"Mean Cross-Validation Score: {cv_scores.mean():.4f}\")\n",
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"print(f\"Standard Deviation of Cross-Validation Scores: {cv_scores.std():.4f}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 1000x600 with 1 Axes>"
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
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}
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],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"\n",
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"# Mendapatkan skor rata-rata untuk setiap nilai K dari hasil GridSearchCV\n",
|
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"mean_scores = grid_search.cv_results_['mean_test_score']\n",
|
|
"k_values = range(1, 11) # Nilai K yang diuji\n",
|
|
"\n",
|
|
"# Membuat plot\n",
|
|
"plt.figure(figsize=(10, 6))\n",
|
|
"plt.plot(k_values, mean_scores, marker='o', linestyle='-')\n",
|
|
"plt.title('Nilai K vs. Skor Akurasi KNN')\n",
|
|
"plt.xlabel('Nilai K')\n",
|
|
"plt.ylabel('Skor Akurasi (Mean Test Score)')\n",
|
|
"plt.xticks(k_values) # Menampilkan semua nilai K pada sumbu X\n",
|
|
"plt.grid(True)\n",
|
|
"# plt.axvline(optimal_k, color='red', linestyle='--', label=f'Optimal K={optimal_k}')\n",
|
|
"# plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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|
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"text/plain": [
|
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"<Figure size 1200x600 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"import seaborn as sns\n",
|
|
"\n",
|
|
"# Generate confusion matrix\n",
|
|
"conf_matrix = confusion_matrix(y_test, y_pred)\n",
|
|
"\n",
|
|
"# Visualization\n",
|
|
"plt.figure(figsize=(12, 6))\n",
|
|
"\n",
|
|
"# Subplot for Confusion Matrix\n",
|
|
"plt.subplot(1, 2, 1)\n",
|
|
"sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', cbar=False)\n",
|
|
"plt.title('Confusion Matrix')\n",
|
|
"plt.xlabel('Predicted')\n",
|
|
"plt.ylabel('True')\n",
|
|
"\n",
|
|
"# Subplot for Cross-Validation Scores\n",
|
|
"plt.subplot(1, 2, 2)\n",
|
|
"sns.boxplot(data=cv_scores, orient='w')\n",
|
|
"plt.title('Cross-Validation Scores')\n",
|
|
"plt.xlabel('Score')\n",
|
|
"\n",
|
|
"plt.tight_layout()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import joblib\n",
|
|
"\n",
|
|
"# Menampilkan hasil evaluasi\n",
|
|
"class_report = classification_report(y_test, y_pred, output_dict=True) # Get report as dict\n",
|
|
"\n",
|
|
"# # Save the model\n",
|
|
"# joblib.dump(knn_model, 'HASIL-RISET/knn_model.pkl') # Save the model to a file\n",
|
|
"with open('model-knn.pkl', 'wb') as file:\n",
|
|
" joblib.dump(knn_model, file)\n",
|
|
"\n",
|
|
"# Save evaluation results\n",
|
|
"results_knn = {\n",
|
|
" 'Confusion Matrix': [conf_matrix.flatten()], # Flatten for easier saving\n",
|
|
" 'Classification Report': [class_report],\n",
|
|
" 'Cross-Validation Scores': [cv_scores.tolist()],\n",
|
|
" 'Mean CV Score': [cv_scores.mean()],\n",
|
|
" 'Std Dev CV Score': [cv_scores.std()]\n",
|
|
"}\n",
|
|
"\n",
|
|
"results_df_knn = pd.DataFrame(results_knn)\n",
|
|
"results_df_knn.to_csv('HASIL-RISET/evaluation_results_knn-new.csv', index=False) # Save results to CSV"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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+/Hm5rLEyFi9ejBYtWqBRo0b46quvUKtWLURFRWHfvn2IiIiQjWfTpk0wNDSEq6srTp8+jSNHjhSqYW3QoAHU1NQwd+5cpKSkQCKRoG3btjA3Ny903a+++gorV67E4MGDcfHiRdjZ2WH79u04efIkQkNDlbpRtKQmTJiAP/74A6GhoZgzZw7mzJmDo0ePomnTphg2bBhcXV3x4sULXLp0CUeOHMGLFy/kjjcxMUGLFi0QEBCAuLg4hIaGwtHREcOGDQPw8sbLuXPnIiAgAK1bt0bfvn1lS+rZ2dnhm2++KVGcHh4eCAsLQ1BQEBo3bgw9PT107dq11H4OJR13ly5dsHPnTvTo0QOdO3fGw4cPsWLFCri6uiI9PV12Pm1tbbi6uiIsLAzOzs4wMTFBvXr13lu7XxIl/bv1yvt+R0SkYmWw4ggRlUN3794Vhg0bJtjZ2QmampqCvr6+0Lx5c2HJkiVCdna2rF9RS+p9++23gpWVlaCtrS00b95cOH36dKFl5VauXCm0atVKqFatmiCRSAQHBwdhwoQJQkpKiiAIgpCTkyNMmDBBcHd3F/T19QVdXV3B3d1dWLZsmVycyiypJwiCcP36daFHjx6CkZGRoKWlJbi4uAjTpk2TvZ6UlCQEBAQIpqamgp6enuDn5yfcvn270LgFQRBWr14t2NvbC2pqanLL6709dkEQhLi4ONl5NTU1BTc3t0KxvYp53rx5wttQzLJtb3q1tNqbS8i9ycfHRzAwMBCSk5NlMY0ePVqwsbERNDQ0BEtLS+GTTz4RVq1aVeicv//+uzB58mTB3Nxc0NbWFjp37lxoaUJBEISwsDChYcOGgkQiEUxMTIT+/fsLT548keszaNAgQVdXt8gY09PThX79+glGRkYCgPcur1fU7/59P4+SjFsqlQqzZ88WbG1tBYlEIjRs2FD466+/inz/nTp1SvDw8BA0NTXlfk/FjbN169ZFLi/59lhK+ndL0d8REamGSBBKeOcLERFVOceOHUObNm2wbds2uUefU/nB3xFR+cCaaiIiIiIiJXFSTURERESkJE6qiYiIiIiUxJpqIiIiIiIlMVNNRERERKQkTqqJiIiIiJTESTURERERkZL4REUiIiIiUto+DReVnbtz3h2Vnbu0cFJNxfrHrn5Zh0Ak0zbqKlp0PV7WYRDJnNjbGiPmJpV1GERyVkw0LusQqixOqomIiIhIaSINUVmHUKY4qSYiIiIipYnVq/akmjcqEhEREREpiZlqIiIiIlKaSKNq52qr9uiJiIiIiEoBM9VEREREpDTWVBMRERERkVKYqSYiIiIipVX1JfWYqSYiIiIiUhIz1URERESktKpeU81JNREREREpjeUfRERERESkFGaqiYiIiEhpVb38g5lqIiIiIiIlMVNNREREREoTqTFTTURERERESmCmmoiIiIiUJmammoiIiIiIlMFMNREREREpTSSu2plqTqqJiIiISGkitapdAFG1R09EREREVAqYqSYiIiIipfFGRSIiIiIiUgoz1URERESktKp+oyIz1URERERESmKmmoiIiIiUxppqIiIiIiJSCjPVRERERKQ0URXPVHNSTURERERKE4mrdgFE1R49EREREVEp4KS6krGzs0NoaKhsPzY2Fu3atYOuri6MjIzKLC4iIiKq3ERikcq2ioDlHwoYPHgwNmzYgJCQEEyaNEnWvmvXLvTo0QOCIHy0WNavX49x48YhOTlZrv38+fPQ1dWV7S9cuBAxMTGIiIiAoaHhR4uvsrIe4I+awwdD08wU6bfu4m5wCNKuXC+yr0hdHbajhsCq16fQtDRHZmQUHswJxYvjJ+X6aVqYw3HSOFTzaQGxthayoh7j1oRpSLt282MMiSq4np2qo29PG5gYa+LBw3QsXHkft+6lFdm3Vk0dDOlvBxcHfVhZaGHR6vvYtudpoX6mJpoYOdgezTxMoCUR40lMFmYvuoM799NVPRyqBFo3lKB9UwkMdMV4El+AsCOZiIopKLJvC3dNNK2riepmagCA6NgC7P43S66/RAPo0Vob7s6a0NUSITFFin8uZuO/iNyPMh6ikmKmWkFaWlqYO3cukpKSyjqUIpmZmUFHR0e2/+DBA3h4eMDJyQnm5uZlGFnFZ97FD05TJyBq0Qqc7+yP9Jt30GDjCmhUMymyv/34QFj3+wx3g0Nw1rc7nm3eBreVC6FXt7asj7qBPjx2bICQn4+IwaNw1rcH7s/6GfkpqR9rWFSBtW1hhsChDlj3exSGjLuI+w/TsWCmG4wMNYrsL5Go4VlsNlZsiMTzFzlF9tHXVcfynxoiv0DA+B+u4YvRF/DL2kikpeercihUSXjU1sBnbbXx18lszF6fiifxBfi6tx70dYrONDrbqOPCrTws/D0dP21KQ1KaFGN668FI73X/z9rqwNVeA+v2ZmDGr6kIv5CNPu10UN+x6Pc5lR2xmkhlW0XASbWCfH19YWlpiZCQkGL7nDhxAi1btoS2tjZsbGwwZswYZGRkyF6PiYlB586doa2tjVq1amHLli2FyjYWLFgANzc36OrqwsbGBqNGjUJ6+sss0bFjxxAQEICUlBSIRCKIRCL88MMPAOTLP+zs7LBjxw5s3LgRIpEIgwcPLu0fR5ViM3Qgnm3dgZhtu5F5PxJ3pvwP0qwsVO/dvcj+lj26IGrpr0g8dgLZj5/i6W9/IPHoCdQcOlDWx3bkl8h5FodbE6Yj7cp1ZD95ihf/nUZW9JOPNCqqyPp0r4G9B2OwPzwOUY8zMW/ZPWTnSNGlnWWR/W/fS8OydZEI/y8BeXlFf7PW/zMbxD/PQciiO7h1Lw0xcdk4fzkJz2KzVTkUqiR8G2vh5JUcnL6Wi5hEKbYczEReHuDtpllk/7V/ZeL45Rw8iS9A3AspNv2dCZFIBBfb1xNme2t1nLmei7uP85GYKsWJK7l4El8AOyu1jzUsohLhpFpBampqmD17NpYsWYInTwpPfB48eIAOHTqgV69euHr1KsLCwnDixAkEBgbK+gwcOBDPnj3DsWPHsGPHDqxatQrx8fFy5xGLxVi8eDFu3LiBDRs24J9//sF3330HAPD29kZoaCgMDAwQExODmJgYjB8/vlAs58+fR4cOHdC7d2/ExMRg0aJFpfzTqDpEGurQr1cHL06eed0oCHhx8iwMGrkXeYxYUxPSHPmvJ6XZ2TBs3FC2b+rrg9RrN1Bv6c9oceEYGu8LQ/U+vVQyBqpc1NVFcHbUx4Urr781EwTgQkQS6roYfPB5mzephtv30/C/ia7Yu8kLa0MboWv7oifpRG9SEwM1LdVw69HrbzUEALei8mBvXbJqU02Nl+fJzH79oS/yaT7qO2rIstfONdVhYayGmw/57Ul5w5pqUliPHj3QoEEDBAcHY82aNXKvhYSEoH///hg3bhwAwMnJCYsXL0br1q2xfPlyREVF4ciRIzh//jw8PT0BAL/++iucnJzkzvPqeOBlxvnHH3/EiBEjsGzZMmhqasLQ0BAikQiWlsX/Z2dmZgaJRAJtbe139svJyUFOjvxXwRKJpCQ/iipDw9gYYnV15D5PlGvPTUiEjkOtIo9J/PcUbIYOQPK5i8h69BjGzZvCrMMnEIlfZ1e0ataA9Re98fjXTYha9isM6teF0w8TIc3LQ+yOPSodE1VshgYaUFcT4UVSnlz7i+Q82NbQKeao96tuqY3uHbURtusJNm6LRh0nfYz7yhF5+QIO/BOnbNhUienpiKAmFiE1QyrXnpYpwLJaybLKPVtrIyVdiltRr9/XYUcy0d9PB3NGG6GgQIBUAH47kIn7TzippvKFk+oPNHfuXLRt27ZQhvjKlSu4evUqNm/eLGsTBAFSqRQPHz7E3bt3oa6ujkaNGsled3R0hLGxsdx5jhw5gpCQENy+fRupqanIz89HdnY2MjMz5WqmS0NISAhmzJgh1xYcHIxWpXqVqufejLmoPScYzcJ3QxAEZD16gphtu2H1RrmISCRG2rUbiJy3GACQfuM2dJ0dYd3/c06qqUyIRcDt+2lYtekhAOBeZDpq2eqge8fqnFSTSvk1lcCzjiYW/J6O/Dfua2zjIUGt6upYuj0dL1KlcLJRR992OkhJl+L2I06syxOuU00fpFWrVvDz88PkyZPl2tPT0zF8+HBERETItitXruDevXtwcHAo0bmjoqLQpUsX1K9fHzt27MDFixexdOlSAEBubunf7Tx58mSkpKTIbW+Pq6rLS0qCND8fmqbV5No1zaohN+F50ce8SMK1r8bhuGtTnGreAWc/+RQFmZly9dK58QnIuBcpd1zmg4fQqs6v2+ndUlLzkF8gwMRY/mYtEyMNJCZ9+L8TiUm5iHqcKdf26HEmLMz47RW9W3qmgAKpAANd+amFvk7h7PXb2jWRwK+ZFhb9kY6nCa9n1BrqQLdW2tj+TyauPcjD04QCHLuUgwu3c9GuiZZKxkEfjuUf9MHmzJmDBg0awMXFRdbWqFEj3Lx5E46OjkUe4+Ligvz8fFy+fBkeHh4AgPv378utJnLx4kVIpVLMnz8f4v//1PfHH3/InUdTUxMFBUUvUaQoiUTCco/3EPLykXb9Foy9m+L5oaMvG0UiGHs3xdONv7/zWGlOLnLj4iFSV4dZB1/E7zskey35YgR07O3k+mvXskX205jSHgJVMvn5Au7eT4NHfWP8d+ZlWZJIBHi4G2PnvsLL5JXUtVspqGkt/22YjbUOYuN5oyK9W4H05ZJ4tW3VceXey/INEYDadho4drH490/7JhJ09NbG4j/SEB0r//+amhhQVxPh7dtqpcLL9ztRecJMtRLc3NzQv39/LF68WNY2ceJEnDp1CoGBgYiIiMC9e/ewe/du2Y2KtWvXhq+vL7766iucO3cOly9fxldffQVtbW2I/v9fCEdHR+Tl5WHJkiWIjIzEpk2bsGLFCrlr29nZIT09HeHh4Xj+/DkyM+UzS1T6Hv+6EdX79oJlr0+h41ALLrOmQk1HG8+27QIA1Jk/C/bfjZH1N2jgBjO/T6BlYw3Dxo3gvmE5RGIxoleue33ONZtg0NANtqOGQtvWBhafdoJ138/wZOPWjz08qoC27nqCrn5W6NDWArY1dDB+lBO0tcTYdyQWADD1GxcMH/i65l9dXQTHWrpwrKULDXURzKpJ4FhLF9ZWrzN+Ybufoq6LPgZ8XhPWVlpo19ocn/pZYee+Zx99fFTxHDmfjRbuEjSrpwnLamL09dOBpgZw6trLb08Gd9ZB91av32/tm0rQtaU2Nu7PQGKKFAa6IhjoiiD5/y9gsnOBu9F56OmjA2cbdVQzFMOrniaa1dVExF2uU13eVPUl9ZipVtLMmTMRFhYm269fvz6OHz+OKVOmoGXLlhAEAQ4ODvD395f12bhxI4YMGYJWrVrJlue7ceMGtLRe/kPj7u6OBQsWYO7cuZg8eTJatWqFkJAQDBz4eik2b29vjBgxAv7+/khMTERwcLBsWT1Sjfi/DkLDxBj234yCppkp0m7dwZVBI5H3/AUAQMvaEhBef8UplmjCfnwgtGrWQEFGJhKPnsDNb75HfurrB3OkXb2Ba8O/gcN3Y2E3djiyHz/FvZk/IW73/o8+Pqp4/jmRACNDDQztbwcTY03cj0zHt8HXkJT8MktoYaYF6RspPlMTTaxf7Cnb79fTBv162uDytWR8/f0VAC+X3ft+9g0MH1gLg/vYIiYuC4tX38fh4/IrFBEV5eLtPOjrZKFrCy3Zw1+W/JGOtMyXb0QTAzHefE5a64YSaKiLMLyHntx5/jqRhb9Ovsxu/7onA91ba+PLrrrQ0RLhRaoUu//Lwr98+Au9w9KlSzFv3jzExsbC3d0dS5YsQZMmTYrsm5eXh5CQEGzYsAFPnz6Fi4sL5s6diw4dOih0TZHwMR8DSEV68uQJbGxscOTIEXzyySdlHY7MP3b1yzoEIpm2UVfRouvxsg6DSObE3tYYMbd8PgiMqq4VE43f30lFbvZQ3RzG9c/wEvcNCwvDwIEDsWLFCjRt2hShoaHYtm0b7ty5U+SD8CZOnIjffvsNq1evRu3atXHw4EEEBQXh1KlTaNiwYRFXKBrLP8rAP//8gz179uDhw4c4deoU+vTpAzs7O7RqxfU2iIiIiJSxYMECDBs2DAEBAXB1dcWKFSugo6ODtWvXFtl/06ZN+P7779GpUyfY29tj5MiR6NSpE+bPn6/QdVn+UQby8vLw/fffIzIyEvr6+vD29sbmzZuhocFHrhIREVHFpMol9Yp7psbbCy3k5ubi4sWLcquYicVi+Pr64vTp08We+1UJ7iva2to4ceKEQjEyU10G/Pz8cP36dWRmZiIuLg5//vknbG1tyzosIiIionIpJCQEhoaGcltISEihfs+fP0dBQQEsLCzk2i0sLBAbG1vkuf38/LBgwQLcu3cPUqkUhw8fxs6dOxETo9hKXMxUExEREZHSVLme9OTJkxEUFCTXVlrLAS9atAjDhg1D7dq1IRKJ4ODggICAgGLLRYrDSTURERERKU2Vk+qSPlPD1NQUampqiIuTfwJsXFwcLC2LfrCamZkZdu3ahezsbCQmJqJ69eqYNGkS7O3tFYqR5R9EREREVCloamrCw8MD4eGvVwuRSqUIDw+Hl5fXO4/V0tKCtbU18vPzsWPHDnTr1k2hazNTTURERERKKy+PEw8KCsKgQYPg6emJJk2aIDQ0FBkZGQgICAAADBw4ENbW1rKa7LNnz+Lp06do0KABnj59ih9++AFSqRTfffedQtflpJqIiIiIKg1/f38kJCRg+vTpiI2NRYMGDXDgwAHZzYvR0dEQv7FSSXZ2NqZOnYrIyEjo6emhU6dO2LRpE4yMjBS6LifVRERERKQ0VS6pp6jAwEAEBgYW+dqxY8fk9lu3bo2bN28qfc3yM3oiIiIiogqKmWoiIiIiUppYrXzUVJcVZqqJiIiIiJTETDURERERKa28rP5RVjipJiIiIiKllacbFctC1R49EREREVEpYKaaiIiIiJRW1cs/mKkmIiIiIlISM9VEREREpDRmqomIiIiISCnMVBMRERGR0rj6BxERERERKYWZaiIiIiJSWlWvqeakmoiIiIiUxvIPIiIiIiJSCjPVRERERKQ8UdUu/2CmmoiIiIhIScxUExEREZHSqvqNisxUExEREREpiZlqIiIiIlIaV/8gIiIiIiKlMFNNREREREpjTTURERERESmFmWoiIiIiUlpVr6kWCYIglHUQRERERFSxxU0coLJzW8zdpLJzlxZmqqlYtx88KesQiGRqO9TAPg2Xsg6DSKZz3h1kH1xT1mEQydHyG1LWIVRZnFQTERERkdJ4oyIRERERESmFmWoiIiIiUl4Vv1Gxao+eiIiIiKgUMFNNREREREoTiVhTTURERERESmCmmoiIiIiUVtUf/sJJNREREREpjUvqERERERGRUpipJiIiIiLlVfHyj6o9eiIiIiKiUsBMNREREREpjTXVRERERESkFGaqiYiIiEhpIlHVztVW7dETEREREZUCZqqJiIiISHlVvKaak2oiIiIiUlpVf6Ji1R49EREREVEpYKaaiIiIiJTGJfWIiIiIiCqRpUuXws7ODlpaWmjatCnOnTv3zv6hoaFwcXGBtrY2bGxs8M033yA7O1uhazJTTURERETKKydL6oWFhSEoKAgrVqxA06ZNERoaCj8/P9y5cwfm5uaF+m/ZsgWTJk3C2rVr4e3tjbt372Lw4MEQiURYsGBBia9bPkZPRERERFQKFixYgGHDhiEgIACurq5YsWIFdHR0sHbt2iL7nzp1Cs2bN0e/fv1gZ2eH9u3bo2/fvu/Nbr+Nk2oiIiIiUppILFLZlpOTg9TUVLktJyenUAy5ubm4ePEifH19ZW1isRi+vr44ffp0kXF7e3vj4sWLskl0ZGQk9u/fj06dOik0fk6qiYiIiKhcCwkJgaGhodwWEhJSqN/z589RUFAACwsLuXYLCwvExsYWee5+/fph5syZaNGiBTQ0NODg4AAfHx98//33CsXISTURERERKU8sVtk2efJkpKSkyG2TJ08ulbCPHTuG2bNnY9myZbh06RJ27tyJffv24X//+59C5+GNikRERESkNJFIdUvqSSQSSCSS9/YzNTWFmpoa4uLi5Nrj4uJgaWlZ5DHTpk3DgAEDMHToUACAm5sbMjIy8NVXX2HKlCkQl/ChNsxUExEREVGloKmpCQ8PD4SHh8vapFIpwsPD4eXlVeQxmZmZhSbOampqAABBEEp8bWaqiYiIiEh55eQx5UFBQRg0aBA8PT3RpEkThIaGIiMjAwEBAQCAgQMHwtraWlaT3bVrVyxYsAANGzZE06ZNcf/+fUybNg1du3aVTa5LgpNqIiIiIqo0/P39kZCQgOnTpyM2NhYNGjTAgQMHZDcvRkdHy2Wmp06dCpFIhKlTp+Lp06cwMzND165dMWvWLIWuKxIUyWtTlXL7wZOyDoFIprZDDezTcCnrMIhkOufdQfbBNWUdBpEcLb8hZXbt9KXfqezceqN/Utm5S0v5yNOTSolEIuzatauswyAiIiKqtFj+UYoGDx6MDRs2ICQkBJMmTZK179q1Cz169ChxsbudnR3GjRuHcePGqShS+lD79u7Crh1/ICnpBexqOeCrkV/D2aV2kX3DDx/A4oXz5No0NDSwffcB2f6iBXPxz5FDcn0aejTGD/+bU/rBU6VkO7If7IOGQGJphtSrt3Fj3P+Qcv5akX1F6upwmDgcNQZ0h5a1BTLuPsTtyT8j4dB/rzuJxXCe/jWs+30KiaUpsp/F48nGP3F/9rKPNCKq6Lb+ewkb/jmH56kZcLY2x6TPfOFma1Vk3yGLf8eF+48Ltbd0tccvIz4DABy5chfbTkTg1uNYpGRmI+y7Qahdw6LQMVQOlJPHlJcVTqpLmZaWFubOnYvhw4fD2NhYZdcpKCiASCQq8TIvpLz/jh/F2tUrMDJwHJxr18beXTvxw7SJWLZqPYyMiv5d6+joYtmq9bL9olYbauTRGGO+ef2VmYaGRmmHTpWU1ecdUWfeZFwfHYzkc1dQa8wgNN23BsfqdkBuwotC/V1mjoN1v09xdcRUpN+JhFn7lvDY/gtOteqD1IhbAACHCcNgO7wvrnw5EWk378PQox7cfw1Bfmoaon7Z9LGHSBXMgUu38POfRzHVvz3cbK2w+fgFjFz2B3ZPHYpq+rqF+i8Y0h15BQWy/eSMbPSeuw7tGr4u9crKyUNDe2v4NXTBjK0HP8o4iD4EZ2SlzNfXF5aWlkU+5eeVEydOoGXLltDW1oaNjQ3GjBmDjIwMAICPjw8ePXqEb775BiKRSLbm4/r162FkZIQ9e/bA1dUVEokE0dHROH/+PNq1awdTU1MYGhqidevWuHTp0kcZa1Wz+8/taN+hE3zbd0DNmnYYGTgOEokERw4dKPYYkQgwNjGRbUbGJoX6aGhoyPXR09dX5TCoEqk1LgCP1/yBJxt2Iv3WA1wbFYyCzGzYDO5VZH/r/t1wf+4KJBz4F1kPnyB65e+I//s47L/5UtbH2Ksh4vaGI/7v48h69BSxOw8i4fAJGDWu/7GGRRXYpqMX0NO7Pro3c4ODlSmm9vaDlqYGdp0p+tsTQ11tmBroybYzt6OgpaGBdg1eT6q7NqmLER2bo6mL3UcaBX0wsUh1WwXASXUpU1NTw+zZs7FkyRI8eVL4Rr8HDx6gQ4cO6NWrF65evYqwsDCcOHECgYGBAICdO3eiRo0amDlzJmJiYhATEyM7NjMzE3PnzsWvv/6KGzduwNzcHGlpaRg0aBBOnDiBM2fOwMnJCZ06dUJaWtpHG3NVkJeXhwf378K9QSNZm1gshnuDRrhz+2axx2VlZWHooL74cmAfzJo5DdGPogr1uX7tCgb27YWRwwZh+S+hSE1NUcUQqJIRaWjAsFFdPA8/9bpREPD8n1MwatawyGPEEg1Is3Pl2qTZOTD2fv2+Tjp9GdXaNIOukx0AQL++C0yaeyD+wL+lPgaqXPLyC3DrcSyavTH5FYtFaOZii6sPn5XoHH+euYoOHrWhI9FUUZSkSiKRWGVbRcDyDxXo0aMHGjRogODgYKxZI39neEhICPr37y+rl3ZycsLixYvRunVrLF++HCYmJlBTU4O+vn6hJ//k5eVh2bJlcHd3l7W1bdtWrs+qVatgZGSE48ePo0uXLiWKNycnBzk5OXJtJXlqUVWSmpoCqVQKo7dKeoyMjPHkceF6QACwrmGDr7+ZADs7e2RmZmDXjj8w8dsxWLJiDUxNzQC8rJ9u5t0SFhaWiI15hk0b1mDm9MmYO3+JQmtjUtWjaWoMsbo6cuIT5dpz4hKh62Jf5DEJh06g1tjBSPzvPDIfRMO0rRcsu7cD3nivPfhpFdQN9ND6+t8QCgogUlPDnWkL8ez3vSodD1V8SRmZKJAKqKavI9deTV8XD+MKlyO97dqjGNyPeY4f+nVUVYhEKlUxpv4V0Ny5c7FhwwbcunVLrv3KlStYv3499PT0ZJufnx+kUikePnz4znNqamqifn35r2Dj4uIwbNgwODk5wdDQEAYGBkhPT0d0dHSJYw0JCYGhoaHc9q7yFSqZ2nXqou0n7WHv4Ih6bu6YNHUGDAwNcXD/X7I+rVq3RdNm3rCrZY9m3i0w7YdZuHf3Dq5fu1KGkVNldTNoFjLuP4LP9b/RMfM66i6ajscbdgJSqayP1ecdYd23Ky4P+BYnmvTElS8nwT7oS1gP6F52gVOV8Ofpq3CqblbsTY1UAVTx8g9mqlWkVatW8PPzw+TJkzF48GBZe3p6OoYPH44xY8YUOqZmzZrvPKe2trasxvqVQYMGITExEYsWLYKtrS0kEgm8vLyQm5tbzFkKmzx5MoKCguTaJBIJHj5JKPE5KjsDA0OIxWIkJyXJtScnJ8HYpHCddFHU1dVh7+CImJinxfaxtKoOAwNDxDx7KldqQvS23OdJkObnQ2JeTa5dYlENObHPiz3m4mejIZZoQqOaEXKexaP27PHIjHz9bUudOd/hwbxViPljPwAg7fpdaNesDsfvhuPppl0qGw9VfMa6OlATi5CYlinXnpiWAdMiblJ8U2ZOLg5euoVRnVqoMkQileKkWoXmzJmDBg0awMXl9Q0XjRo1ws2bN+Ho6FjscZqamih4427odzl58iSWLVuGTp06AQAeP36M58+L/g+1OBKJhOUe76GhoQEHR2dcvXIZzbxf/qMvlUpxNeIyOnXtXqJzFBQU4FHUQ3h4Nim2z/PnCUhLS4WxSbVi+xABgJCXh5RLN2Da1gtxe8JfNopEqNbGC4+W/fbOY6U5uch5Fg+Rujose7RHzPa/Za+p6WhBkMov/ykUFFSYTBGVHQ11NdSxscTZu4/Qtr4TAEAqFXD2ziP0afXuJMHhiDvIzS9A58Z1P0aopCKiKr4iGSfVKuTm5ob+/ftj8eLFsraJEyeiWbNmCAwMxNChQ6Grq4ubN2/i8OHD+OWXXwC8XKf633//RZ8+fSCRSGBqalrsNZycnLBp0yZ4enoiNTUVEyZMgLa2tsrHVhV16/EZFi2YC0cnZzg518be3TuQnZMN33Z+AICFP89BtWqmGBgwFACwdctGuNR2hZVVdWRkpOPPHX8gIT4O7Tq8/ACUlZWFrVs2wrt5SxgZmyA25hk2rF0FK6vqaOThWWbjpIrjYeg6uK+di+SL15Fy/irsxgyCuq72y5IOAO7r5iL7aRzuTF0AADBqUh9a1S2QcuUWtKpbwHn61xCJxXjw86+yc8btOwrHSSOQHf0MaTfvw6BBHdQaF4An63eUyRipYhnQxhPTftuPujaWqGdrhd+OXUBWbh66N3UDAEzZtA/mhnoY+2lrueP+PH0Nbeo7wUi38P9fKRlZiElKRUJKOgAgKv5lfbapgS5MDfRUPCKikuOkWsVmzpyJsLAw2X79+vVx/PhxTJkyBS1btoQgCHBwcIC/v7/cMcOHD4eDgwNycnLe+dCYNWvW4KuvvkKjRo1gY2OD2bNnY/z48SodU1XVsnUbpKamYMum9UhKSkItewcEz5wjWybveUI8xG9k89LT07F00XwkJSVBT18PDo7OmDt/MWrWtAPwcvWQqIeROHrkEDIy0mFiUg0NGnmi/4DB0NDgne/0fjHb/oammQmcg8e8fPjLlVs412Uocv//5kVtGysIb9RLiyUSOM8YBx17GxSkZyL+wHFEDP4O+SmvVwu6MfZHuMwYi7pLgiExr4bsZ/GIXh2Gez8u/ejjo4qnQ6M6SErPwrL9J/A8NQMuNcyxbOTnqGbwsvwjNikV4rfKGKPiEnE58glWjOpd5DmPXb+P6Ztff5sycf3Lm2ZHdPDGSJaLlC9FPYyhChEJJX3MH1U5tx8UXhKQqKzUdqiBfRou7+9I9JF0zruD7INr3t+R6CPS8htSZtfOXBussnPrfDlDZecuLcxUExEREZHyWFNNRERERKSkKl7+UbU/UhARERERlQJmqomIiIhIaVV9Sb2qPXoiIiIiolLATDURERERKU9UtXO1VXv0RERERESlgJlqIiIiIlKemKt/EBERERGREpipJiIiIiKliap4TTUn1URERESkPJZ/EBERERGRMpipJiIiIiLlVfHyj6o9eiIiIiKiUsBMNREREREpT8SaaiIiIiIiUgIz1URERESkPHHVztVW7dETEREREZUCZqqJiIiISHlVfPUPTqqJiIiISHl8+AsRERERESmDmWoiIiIiUl4VL/+o2qMnIiIiIioFzFQTERERkfL48BciIiIiIlIGM9VEREREpDw+/IWIiIiIiJTBTDURERERKY811UREREREpAxmqomIiIhIeVV8nWpOqomIiIhIebxRkYiIiIiIlMFMNREREREpr4rfqCgSBEEo6yCIiIiIqGLLPrhGZefW8huisnOXFmaqqVjZv88t6xCIZLT6TkTakgllHQaRjP7X85C5NriswyCSo/PljLK7eDm6UXHp0qWYN28eYmNj4e7ujiVLlqBJkyZF9vXx8cHx48cLtXfq1An79u0r8TXLz+iJiIiIiJQUFhaGoKAgBAcH49KlS3B3d4efnx/i4+OL7L9z507ExMTItuvXr0NNTQ2ff/65QtflpJqIiIiIlCcSqW5TwIIFCzBs2DAEBATA1dUVK1asgI6ODtauXVtkfxMTE1haWsq2w4cPQ0dHh5NqIiIiIqpccnJykJqaKrfl5OQU6pebm4uLFy/C19dX1iYWi+Hr64vTp0+X6Fpr1qxBnz59oKurq1CMnFQTERERkfLEYpVtISEhMDQ0lNtCQkIKhfD8+XMUFBTAwsJCrt3CwgKxsbHvHcK5c+dw/fp1DB06VOHh80ZFIiIiIlKaoMIl9SZPnoygoCC5NolEUurXWbNmDdzc3Iq9qfFdOKkmIiIionJNIpGUaBJtamoKNTU1xMXFybXHxcXB0tLyncdmZGRg69atmDlz5gfFyPIPIiIiIlKeSKy6rYQ0NTXh4eGB8PBwWZtUKkV4eDi8vLzeeey2bduQk5ODL7744oOGz0w1EREREVUaQUFBGDRoEDw9PdGkSROEhoYiIyMDAQEBAICBAwfC2tq6UE32mjVr0L17d1SrVu2Drqv0pDo1NRX//PMPXFxcUKdOHWVPR0REREQVUTl5+Iu/vz8SEhIwffp0xMbGokGDBjhw4IDs5sXo6GiIxfKx3rlzBydOnMChQ4c++LoKT6p79+6NVq1aITAwEFlZWfD09ERUVBQEQcDWrVvRq1evDw6GiIiIiEhZgYGBCAwMLPK1Y8eOFWpzcXGBIAhKXVPhjxT//vsvWrZsCQD4888/IQgCkpOTsXjxYvz4449KBUNEREREFZMgEqlsqwgUnlSnpKTAxMQEAHDgwAH06tULOjo66Ny5M+7du1fqARIRERERlXcKT6ptbGxw+vRpZGRk4MCBA2jfvj0AICkpCVpaWqUeIBERERFVAOVg9Y+ypHBN9bhx49C/f3/o6emhZs2a8PHxAfCyLMTNza204yMiIiKiiqCClGmoisKT6lGjRqFJkyZ4/Pgx2rVrJ7t70t7enjXVRERERFQlfdCSep6enqhfvz4ePnwIBwcHqKuro3PnzqUdGxERERFVFOKKUaahKgqPPjMzE0OGDIGOjg7q1q2L6OhoAMDXX3+NOXPmlHqARERERETlncKT6smTJ+PKlSs4duyY3I2Jvr6+CAsLK9XgiIiIiKhiqOpL6ilc/rFr1y6EhYWhWbNmEL0xyLp16+LBgwelGhwRERERUUWg8KQ6ISEB5ubmhdozMjLkJtlEREREVIVUkKXvVEXh0Xt6emLfvn2y/VcT6V9//RVeXl6lFxkRERERUQWhcKZ69uzZ6NixI27evIn8/HwsWrQIN2/exKlTp3D8+HFVxEhERERE5ZzATLViWrRogYiICOTn58PNzQ2HDh2Cubk5Tp8+DQ8PD1XESERERETlnUikuq0C+KB1qh0cHLB69erSjoWIiIiIqEJSeFKdmppaZLtIJIJEIoGmpqbSQRERERFRxVLVyz8UnlQbGRm9c5WPGjVqYPDgwQgODpY9wpyIiIiIqDJTeFK9fv16TJkyBYMHD0aTJk0AAOfOncOGDRswdepUJCQk4Oeff4ZEIsH3339f6gETERERUTlUQWqfVUXhSfWGDRswf/589O7dW9bWtWtXuLm5YeXKlQgPD0fNmjUxa9YsTqqJiIiIqEpQuD7j1KlTaNiwYaH2hg0b4vTp0wBerhASHR2tfHREREREVDGIxKrbKgCFo7SxscGaNWsKta9ZswY2NjYAgMTERBgbGysfHRERERFRBaBw+cfPP/+Mzz//HH///TcaN24MALhw4QJu376N7du3AwDOnz8Pf3//0o20ijt27BjatGmDpKQkGBkZFdvPzs4O48aNw7hx4wAAsbGxGDBgAE6dOgUNDQ0kJyd/lHiJiIioahFYU62YTz/9FHfu3MHKlStx584dAEDHjh2xa9cu2NnZAQBGjhxZqkFWJIMHD8aGDRsAABoaGqhZsyYGDhyI77//HurqH7QsOADA29sbMTExMDQ0BPDyhtFx48YVmiSfP38eurq6sv2FCxciJiYGERERsmPpw209dxMbTl7H8/QsOFsaY1JHL7jVMCuy75B1+3HhUWyh9pZONfBL//YAgGl//os9V+7Lve7tYI3lA/xKP3iqlDTcvKHZqDVEOvqQPo9B9r+7II17XGRf7R4joF7DoVB7ftQtZO1dCwAQaetB0rwz1GycIJJoo+DZQ2Qf3wUh5blKx0GVS9ile9hw9hYSM7LhbG6Eib4eqFe9WpF9h24Jx8XHCYXaW9hbYcnnrQEADeduLfLYcT7uGNS0TukFTsqpIGUaqvJBszw7OzuEhISUdiyVRocOHbBu3Trk5ORg//79GD16NDQ0NDB58uQPPqempiYsLS3f28/MTH6C9+DBA3h4eMDJyemDr00vHbgeiZ8PnsPULt5wszbD5jM3MPK3g9gd2AvV9LQL9V/g/wnyCgpk+8lZOei9fBfaudaS69fc0Rozu7WU7Wuqq6luEFSpqDu5Q9KyK7KP7oA0NhoaDVpC59OhyPjtJwhZGYX6Z+3fAJHa63/2RVo60On7DfLuXZW1aXceDEFagKx96yHk5kCzYSvodP8KGZvnAfl5H2VcVLEdvBWN+f9cxpT2nqhXvRq2XLiDUX8cw65hnWGiq1Wo//weLZBXIJXtp2Tlwn/dAbSrbSNrOzy6m9wxJyNjMOPvc/jExQZE5cUHf6TIzMzE7du3cfXqVbmNAIlEAktLS9ja2mLkyJHw9fXFnj17kJSUhIEDB8LY2Bg6Ojro2LEj7t27Jzvu0aNH6Nq1K4yNjaGrq4u6deti//79AF6Wf4hEIiQnJ+PYsWMICAhASkoKRCIRRCIRfvjhBwAvP/CEhobK/rxjxw5s3LgRIpEIgwcP/sg/icpl0+nr6NnIBd0bOsPB3BhTuzSHloY6dl2+W2R/Qx0JTPV1ZNuZB8+gpaGOdnXt5PppqqnJ9TPQlnyE0VBloNmgFfJunEX+rQuQJsUj5+hOCPl50HBtUvQBOVkQMtNkm5qNE5Cfh/z7VwAAIiNTqFnZIufYTkjjn0BITkDO0Z2AugY0nAvfoE5UlN/O30ZPdwd0q28PB1NDTPFr/PLfymuRRfY31JbAVE9btp2JioWWhhraudSU9XnzdVM9bRy7/xSNbc1Rw0jvYw2LSkCASGVbRaBwpjohIQEBAQH4+++/i3y94I3MHL2kra2NxMREDB48GPfu3cOePXtgYGCAiRMnolOnTrh58yY0NDQwevRo5Obm4t9//4Wuri5u3rwJPb3C/2B4e3sjNDQU06dPl5XgFNXv/PnzGDhwIAwMDLBo0SJoaxfOplLJ5OUX4NazRAxp4S5rE4tFaGZfHVefFP7asih/Xr6LDvVqQUdTQ679QlQsfH7aAgNtTTSpVR2BbRvBSKdwNodIjlgNYnNr5F78541GAQWP70FsaVuiU2i4NkHe3QhZBvpVFlvIz5c7JwryoVa9FvJuniud2KnSyisowK3YJHzZzFXWJhaJ0NTOAlefJpboHLuuRsKvTk1oaxY9RUnMyMaJB88ws3PTUomZqLQonKl+Vcd79uxZaGtr48CBA9iwYQOcnJywZ88eVcRYYQmCgCNHjuDgwYOoWbMm9uzZg19//RUtW7aEu7s7Nm/ejKdPn2LXrl0AgOjoaDRv3hxubm6wt7dHly5d0KpVq0Ln1dTUhKGhIUQiESwtLWFpaVnkpNrMzAwSiQTa2tqwtLQstqY6JycHqampcltOTk6p/iwquqTMHBQIQqEyj2q62nienvne4689ScD9+CT0aOQi1+7tWAM/9miF1YM6YJxvY1yMisWo3w6hQCot5kxEL4m0dSESq0GamS7XLmSmQ6yj/97jxRY2UDO1kpsoS5PiIU1NgsS7IyDRBsRq0GzkA7G+EUQlOCdRUmYuCgShUJlHNR0tJGZkvff4688Scf95CnrUL1z7/8re6w+ho6mBts4s/ShvBJFYZVtFoHCm+p9//sHu3bvh6ekJsVgMW1tbtGvXDgYGBggJCUHnzp1VEWeF8tdff0FPTw95eXmQSqXo168fevbsib/++gtNm77+ZF2tWjW4uLjg1q1bAIAxY8Zg5MiROHToEHx9fdGrVy/Ur19f5fGGhIRgxowZcm3BwcGY5MLMdmn58/JdOJkbF7qpsaObvezPThYmcLYwRufF23EhKhZN7at/7DCpCtFwbYKC5zHyNzVKpcjavwFan/SG/lczIUgLUPD4PvKjblX5J6XRx7HraiSczAyLvakRAHZfjURHV1tIeP8JlTMKT/0zMjJgbm4OADA2NkZCwsuvvt3c3HDp0qXSja6CatOmDSIiInDv3j1kZWVhw4YNEJXgP6ShQ4ciMjISAwYMwLVr1+Dp6YklS5aoPN7JkycjJSVFblPmpsrKyFhHAjWRCInp8pmWxIwsmOrpvPPYzNw8HLweiR6NnN97nRomBjDW0UL0i1Sl4qXKT8jKgCAtgFhH/lsqkY4epJlp7z5YXQMaTu5FlnNIE54ic+tCpK2chow1/0PWnl8h0tKFNOVFaYZPlZSxjibURCK8yMiWa0/MzEY13XcnarJy83HwVjS617cvts+lx/GIepGGHu7F96EyxIe/KMbFxUVWx+vu7o6VK1fi6dOnWLFiBaysrEo9wIpIV1cXjo6OqFmzpmwZvTp16iA/Px9nz56V9UtMTMSdO3fg6vq69szGxgYjRozAzp078e2332L16tVFXkNTU7PU6tclEgkMDAzkNomEN8u9SUNdDXWqV8PZh89kbVKpgLORz1C/mCX1Xjl8Iwq5+VJ0fsfXma/EpWQgOTMbZu+ZqBNBWgBp/FOo1XB8o1EENRtHSGMfvfNQdUd3QE0deXfekQjJzYaQnQGRoSnE5jWQH3mjdOKmSk1DTQ11LI1x9lGcrE0qCDgXFYf61sVnnwHg8J1o5BYUoNNbN3O/adfVSNSxNIaLOR8wR+WPwuUfY8eORUxMDICXJQIdOnTA5s2boampifXr15d2fJWGk5MTunXrhmHDhmHlypXQ19fHpEmTYG1tjW7dXi4VNG7cOHTs2BHOzs5ISkrC0aNHUadO0etv2tnZIT09HeHh4XB3d4eOjg50dDgRU6UBXvUw7c//ULe6KepZm+G3MzeQlZeP7g1fZqCn7DwOcwNdjPX1lDvuz8t30aZ2zUI3H2bm5GHF8cvwrWOHanraeJKUhoWHz8PGxADejtYfbVxUceVG/AstX38UxD+BNO4xNBq0hEhdE3k3zwMAtNr1gTQ9Bbmn5W8s16jb+OUkObvw/QDqjvUhZKVDmpYMtWpWkLT6FPmRN1DwuOhVboje9kXj2pi+7wxcLU1Qz8oEWy7cRVZePrr9f7nb1L/OwFxfG2Nau8sdt+tqJHycasComBWQ0nPycPjOYwS14Uo05RUf/qKgL774QvZnDw8PPHr0CLdv30bNmjVhampaqsFVNuvWrcPYsWPRpUsX5ObmolWrVti/fz80NF6uBlFQUIDRo0fjyZMnMDAwQIcOHbBw4cIiz+Xt7Y0RI0bA398fiYmJCA4Oli2rR6rRoZ49kjKysezoJTxPz4KLpQmWfdFedvNibEoGxG/9gxL1PAWXo+OwooiHuYjFItyNS8KeiPtIy86Fub4OvByqY3RbD65VTSWSf+8KcrR1IWnqB5GuPqQJz5C551cIWS9vXhTpGUEsCHLHiIzMoF7dHpm7VhV5TpGOPiQtukKkowchIw15ty8i9/wRlY+FKg+/OjWRlJmN5SeuITEjGy7mRlja2wfV/v/mxdjUDIjfmntFJabi8pPnWN7bp9jzHrz1CBCADq41i+1DZaui3FCoKiJBeOtf3HfIy8tD7dq18ddffxWbQaXKI/v3uWUdApGMVt+JSFsyoazDIJLR/3oeMtcGl3UYRHJ0vpzx/k4q8uLqfyo7t0n9lu/vVMYUylRraGggOzv7/R2JiIiIqGqp4uUfCufpR48ejblz5yJf7uEARERERERVl8I11efPn0d4eDgOHToENzc36Orqyr2+c+fOUguOiIiIiCqGql5TrfCk2sjICL169VJFLEREREREFZLCk+p169apIg4iIiIiqsAEsKZaYfn5+Thy5AhWrlyJtLSXT+569uwZ0tPTSzU4IiIiIqKKQOFM9aNHj9ChQwdER0cjJycH7dq1g76+PubOnYucnBysWLFCFXESERERUTlW1WuqFR792LFj4enpiaSkJGhra8vae/TogfDw8FINjoiIiIgqCJFIdVsFoHCm+r///sOpU6egqakp125nZ4enT5+WWmBERERERBWFwpNqqVSKgoKCQu1PnjyBvr5+qQRFRERERBWL8GG36lUaCo++ffv2CA0Nle2LRCKkp6cjODgYnTp1Ks3YiIiIiIgqBIUz1fPnz4efnx9cXV2RnZ2Nfv364d69ezA1NcXvv/+uihiJiIiIqJwTKkjts6ooPKmuUaMGrly5gq1bt+Lq1atIT0/HkCFD0L9/f7kbF4mIiIiIqgqFyz+ys7Ohrq6OL774Aj/99BOWLVuGoUOHckJNREREVIUJIrHKNkUtXboUdnZ20NLSQtOmTXHu3Ll39k9OTsbo0aNhZWUFiUQCZ2dn7N+/X6FrKhylubk5Bg0ahMOHD0MqlSp6OBERERGRyoSFhSEoKAjBwcG4dOkS3N3d4efnh/j4+CL75+bmol27doiKisL27dtx584drF69GtbW1gpdV+FJ9YYNG5CZmYlu3brB2toa48aNw4ULFxQ9DRERERFVIgJEKtsUsWDBAgwbNgwBAQFwdXXFihUroKOjg7Vr1xbZf+3atXjx4gV27dqF5s2bw87ODq1bt4a7u7tC11V4Ut2jRw9s27YNcXFxmD17Nm7evIlmzZrB2dkZM2fOVPR0RERERFQJqLL8IycnB6mpqXJbTk5OoRhyc3Nx8eJF+Pr6ytrEYjF8fX1x+vTpIuPes2cPvLy8MHr0aFhYWKBevXqYPXt2kUtIv8sHLyior6+PgIAAHDp0CFevXoWuri5mzJjxoacjIiIiIipSSEgIDA0N5baQkJBC/Z4/f46CggJYWFjItVtYWCA2NrbIc0dGRmL79u0oKCjA/v37MW3aNMyfPx8//vijQjEqvPrHK9nZ2dizZw+2bNmCAwcOwMLCAhMmTPjQ0xERERFRBabKJfUmT56MoKAguTaJRFIq55ZKpTA3N8eqVaugpqYGDw8PPH36FPPmzUNwcHCJz6PwpPrgwYPYsmULdu3aBXV1dXz22Wc4dOgQWrVqpeipiIiIiIjeSyKRlGgSbWpqCjU1NcTFxcm1x8XFwdLSsshjrKysoKGhATU1NVlbnTp1EBsbi9zcXGhqapYoxg+qqc7KysLGjRsRGxuLlStXckJNREREVMWVhxsVNTU14eHhgfDwcFmbVCpFeHg4vLy8ijymefPmuH//vtyqdnfv3oWVlVWJJ9TAB0yq4+Li8Mcff6Bbt27Q0NAAAKSmpmL58uXw9PRU9HRERERERKUmKCgIq1evxoYNG3Dr1i2MHDkSGRkZCAgIAAAMHDgQkydPlvUfOXIkXrx4gbFjx+Lu3bvYt28fZs+ejdGjRyt0XYXLP/T19WV/Pnr0KNauXYudO3fC0NAQPXr0UPR0RERERFQJfMhDWlTB398fCQkJmD59OmJjY9GgQQPZ/X8AEB0dDbH4daw2NjY4ePAgvvnmG9SvXx/W1tYYO3YsJk6cqNB1FZ5UP336FOvXr8e6deuQnJyMpKQkbNmyBb1794aoij/znYiIiIjKXmBgIAIDA4t87dixY4XavLy8cObMGaWuWeKPFDt27ECnTp3g4uKCiIgIzJ8/H8+ePYNYLIabmxsn1ERERERVWHmoqS5LJc5U+/v7Y+LEiQgLC5MrASEiIiIiqupKnKkeMmQIli5dig4dOmDFihVISkpSZVxEREREVIGo8omKFUGJo1y5ciViYmLw1Vdf4ffff4eVlRW6desGQRDkliAhIiIioqqnqpd/KDT119bWxqBBg3D8+HFcu3YNdevWhYWFBZo3b45+/fph586dqoqTiIiIiKjc+uB8upOTE2bPno3Hjx/jt99+Q2ZmJvr27VuasRERERFRBVHVyz8UXlLvbWKxGF27dkXXrl0RHx9fGjEREREREVUoSk+q32Rubl6apyMiIiKiCqKi1D6rSsXIpxMRERERlWMiQRCEsg6CiIiIiCq2B5GRKju3g729ys5dWkq1/IMql5RLR8o6BCIZw0a+fE9SucL3JJVHho18yzqEKuuDyz927tyJuLg4ubbQ0FBl4yEiIiKiCkgQRCrbKoIPnlQHBATA2toaXbp0QUREBAIDAzFx4sTSjI2IiIiIKggBYpVtFcEHl3+kpKQgKioKS5YsgYeHB3R0dHD48OHSjI2IiIiIqEIo8dR/7969+Oeff+TaatasiXv37qFmzZrQ0tJCVlZWqQdIREREROUfH1NeQtOmTSvUNmTIENy7dw///fcfQkJCEBISUqrBERERERFVBCWeVN+9exeOjo6y/QkTJuDy5cv4999/UaNGDbRq1QoXLlxQSZBEREREVL4xU11CxsbGOHv2LAAgODgYJ0+exLFjx2BmZgYASExMhIGBgWqiJCIiIiIqx0o8qf7iiy/wxRdfwMbGBgsWLED9+vVlk+iMjAxMnToVLVu2VFmgRERERFR+VfVMdYlX/5gzZw7q1asHsViMTz75BO3atYOdnR3q1q2LiIgIFBQU4Ny5c6qMlYiIiIioXCrxpFokEmHAgAGy/XPnzmHdunW4du0amjdvjiFDhsDKykolQRIRERFR+VZRMsqq8sHrVGtra2PUqFGlGQsRERERVVAV5cmHqlIxHlFDRERERFSOfXCmmoiIiIjolape/sFMNRERERGRkpipJiIiIiKlMVOtoKysLGRmZsr2Hz16hNDQUBw6dKhUAyMiIiIiqigUnlR369YNGzduBAAkJyejadOmmD9/Prp164bly5eXeoBEREREVP5V9Ye/KDypvnTpkuzJidu3b4eFhQUePXqEjRs3YvHixaUeIBERERFReadwTXVmZib09fUBAIcOHULPnj0hFovRrFkzPHr0qNQDJCIiIqLyj+tUK8jR0RG7du3C48ePcfDgQbRv3x4AEB8fDwMDg1IPkIiIiIjKPylEKtsqAoUn1dOnT8f48eNhZ2eHJk2awMvLC8DLrHXDhg1LPUAiIiIiovJO4fKPzz77DC1atEBMTAzc3d1l7Z988gl69OhRqsERERERUcVQUW4oVJUPeviLpaUl9PX1cfjwYWRlZQEAGjdujNq1a5dqcEREREREFYHCk+rExER88skncHZ2RqdOnRATEwMAGDJkCL799ttSD5CIiIiIyj9BEKlsqwgUnlR/88030NDQQHR0NHR0dGTt/v7+OHDgQKkGR0RERERUEShcU33o0CEcPHgQNWrUkGt3cnLiknpEREREVRRrqhWUkZEhl6F+5cWLF5BIJKUSFBERERFRRaLwpLply5ayx5QDgEgkglQqxU8//YQ2bdqUanBEREREVDFU9Zpqhcs/fvrpJ3zyySe4cOECcnNz8d133+HGjRt48eIFTp48qYoYiYiIiKicY/mHgurVq4e7d++iRYsW6NatGzIyMtCzZ09cvnwZDg4OqoiRiIiIiKhcUzhTDQCGhoaYMmVKacdCRERERBVURSnTUBWFJ9UHDhyAnp4eWrRoAQBYunQpVq9eDVdXVyxduhTGxsalHiRRebHt0HH8tvcIElNS4VTTGuMH90ZdR7ti+6dlZGJ52F4cPR+B1PRMWJqaIGhgLzRvWA8AsGr7Pvy6Y7/cMbbVLbBt/nRVDoMqEb4nqbzhe5KqKoUn1RMmTMDcuXMBANeuXUNQUBC+/fZbHD16FEFBQVi3bl2pB1lV5OXlQUNDo6zDoGIcPn0RoZt2YtKQPqjraIetfx/FmDm/YNv8YJgY6hfqn5efj8DZS2BioI8544bCzMQIsQkvoKerLdfPvoYVfpnytWxfXaym8rFQ5cD3JJU3fE9WbdKyDqCMKVxT/fDhQ7i6ugIAduzYga5du2L27NlYunQp/v7771IPUJUOHDiAFi1awMjICNWqVUOXLl3w4MED2etPnjxB3759YWJiAl1dXXh6euLs2bOy1/fu3YvGjRtDS0sLpqam6NGjh+w1kUiEXbt2yV3PyMgI69evBwBERUVBJBIhLCwMrVu3hpaWFjZv3ozExET07dsX1tbW0NHRgZubG37//Xe587xabcXR0RESiQQ1a9bErFmzAABt27ZFYGCgXP+EhARoamoiPDy8NH5sVdaWfeHo3tYbXX28YF/DCpOG9IGWpib2HjtdZP89R08jNT0T874dDncXB1Q3q4ZGrk5wtpVf411NTQxTI0PZZmSg9zGGQ5UA35NU3vA9SVWZwplqTU1NZGZmAgCOHDmCgQMHAgBMTEyQmppautGpWEZGBoKCglC/fn2kp6dj+vTp6NGjByIiIpCZmYnWrVvD2toae/bsgaWlJS5dugSp9OXnsH379qFHjx6YMmUKNm7ciNzcXOzfv/89Vyxs0qRJmD9/Pho2bAgtLS1kZ2fDw8MDEydOhIGBAfbt24cBAwbAwcEBTZo0AQBMnjwZq1evxsKFC9GiRQvExMTg9u3bAIChQ4ciMDAQ8+fPl60b/ttvv8Ha2hpt27YtpZ9c1ZOXn4/bDx9jUDc/WZtYLEbjerVx7V5kkcf8d+kq3Jxq4ad1Yfj3wlUYGejBr7knBn7aHmri159nH8cmoNPI76GpqQ43p1oY3acbLE1NVD4mqtj4nqTyhu9JYk21glq0aIGgoCA0b94c586dQ1hYGADg7t27hZ6yWN716tVLbn/t2rUwMzPDzZs3cerUKSQkJOD8+fMwMXn5F9fR0VHWd9asWejTpw9mzJgha3N3d1c4hnHjxqFnz55ybePHj5f9+euvv8bBgwfxxx9/oEmTJkhLS8OiRYvwyy+/YNCgQQAABwcHWY17z549ERgYiN27d6N3794AgPXr12Pw4MEQiYp+s+fk5CAnJ0eujQ/ykZecmo4CqbTQ15cmhvp49Cy2yGOexifiQsJd+DVvjIUTR+FJXALmrg1Dfn4Bhn3WGQBQz9EO00cMgK2VBZ4np+DXHfvx1YwF+P2nqdDV1lL5uKji4nuSyhu+J6k8Wbp0KebNm4fY2Fi4u7tjyZIlsuTk29avX4+AgAC5NolEguzsbIWuqXD5xy+//AJ1dXVs374dy5cvh7W1NQDg77//RocOHRQ9XZm6d+8e+vbtC3t7exgYGMDOzg4AEB0djYiICDRs2FA2oX5bREQEPvnkE6Vj8PT0lNsvKCjA//73P7i5ucHExAR6eno4ePAgoqOjAQC3bt1CTk5OsdfW0tLCgAEDsHbtWgDApUuXcP36dQwePLjYGEJCQmBoaCi3hYSEKD22qk4qFWBsoI/vh/VDHfuaaOflgYDuftgZfkLWx7tBXfg2awQnW2t4ubsidOIopGVk4ciZS2UYOVVWfE9SecP3ZOUiQKSyTRFhYWEICgpCcHAwLl26BHd3d/j5+SE+Pr7YYwwMDBATEyPbHj16pPD4Fc5U16xZE3/99Veh9oULFyp88bLWtWtX2NraYvXq1ahevTqkUinq1auH3NxcaGtrv/PY970uEokgCIJcW15eXqF+urq6cvvz5s3DokWLEBoaCjc3N+jq6mLcuHHIzc0t0XWBlyUgDRo0wJMnT7Bu3Tq0bdsWtra2xfafPHkygoKC5NokEgmyb/z33mtVFUYGelATi/EiJU2u/UVKGqoZGRR5jKmRAdTV1eS+wqxlbYnE5FTk5edDQ73wXz99XR3UtDLHk9iE0h0AVTp8T1J5w/cklZfyjwULFmDYsGGy7POKFSuwb98+rF27FpMmTSryGJFIBEtLS6Wuq3Cm+tKlS7h27Zpsf/fu3ejevTu+//572cSvIkhMTMSdO3cwdepUfPLJJ6hTpw6SkpJkr9evXx8RERF48eJFkcfXr1//nTf+mZmZISYmRrZ/7949WS36u5w8eRLdunXDF198AXd3d9jb2+Pu3buy152cnKCtrf3Oa7u5ucHT0xOrV6/Gli1b8OWXX77zmhKJBAYGBnIbyz/kaairo3YtG5y/fkfWJpVKceHGHbg52Rd5jLuLPZ7EJsjq8AEgOiYepkaGRf5HAQCZ2dl4GvccpsZF/wdE9Arfk1Te8D1JqpSTk4PU1FS57e3SVQDIzc3FxYsX4evrK2sTi8Xw9fXF6dNF3zALAOnp6bC1tYWNjQ26deuGGzduKByjwpPq4cOHyyZ5kZGR6NOnD3R0dLBt2zZ89913CgdQVoyNjVGtWjWsWrUK9+/fxz///COXre3bty8sLS3RvXt3nDx5EpGRkdixY4fsFxIcHIzff/8dwcHBuHXrFq5duyZbahB4uQrHL7/8gsuXL+PChQsYMWJEiZbLc3JywuHDh3Hq1CncunULw4cPR1xcnOx1LS0tTJw4Ed999x02btyIBw8e4MyZM1izZo3ceYYOHYo5c+ZAEAS5VUnow/Xr/Al2Hz2Jv46fwcOnsZi7diuycnLQpXUzAEDwsg1Y+vtuWf9e7VohNSMT8zdsx6OYOJy4dB3rdx3EZ+1byfos+m0nLt28h2cJibh6NxLfzV8NsViM9t6eha5P9Da+J6m84XuyalNl+UdJS1WfP3+OgoICWFhYyLVbWFggNrbo2n4XFxesXbsWu3fvxm+//QapVApvb288efJEofErXP5x9+5dNGjQAACwbds2tGrVClu2bMHJkyfRp08fhIaGKnrKMiEWi7F161aMGTMG9erVg4uLCxYvXgwfHx8AL1c5OXToEL799lt06tQJ+fn5sgfcAICPjw+2bduG//3vf5gzZw4MDAzQqtXrfwTmz5+PgIAAtGzZEtWrV8eiRYtw8eLF98Y1depUREZGws/PDzo6Ovjqq6/QvXt3pKSkyPpMmzYN6urqmD59Op49ewYrKyuMGDFC7jx9+/bFuHHj0LdvX2hp8UaO0tDOywNJqWlYtf0vJCanwdnWGosmjZZ9rRn3PAniN24GtahmjEWTRiN00w70nzgbZsZG8O/og4Gftpf1iX+RjKlL1iElPQPGBnpwd3HA2v+Nh7FB4fVcid7G9ySVN3xPkqoUV6paGry8vODl5SXb9/b2Rp06dbBy5Ur873//K/F5RMLbhb/vYWBggIsXL8LJyQnt2rVDly5dMHbsWERHR8PFxQVZWVmKnI5UJCoqCg4ODjh//jwaNWr0QedIuXSklKMi+nCGjXz5nqRyhe9JKo8MG/m+v5OK/HsjQ2XnblVX9/2d8LL8Q0dHB9u3b0f37t1l7YMGDUJycjJ2795d/MFv+Pzzz6Gurl7oWSHvonD5h6enJ3788Uds2rQJx48fR+fOL5e8efjwYaFUO318eXl5iI2NxdSpU9GsWbMPnlATERERVTSamprw8PCQu/dMKpUiPDxcLhv9LgUFBbh27RqsrKwUurbC5R+hoaHo378/du3ahSlTpsjWbt6+fTu8vb0VPR2VspMnT6JNmzZwdnbG9u3byzocIiIiqiIUXfpOVYKCgjBo0CB4enqiSZMmCA0NRUZGhmw1kIEDB8La2lpWkz1z5kw0a9YMjo6OSE5Oxrx58/Do0SMMHTpUoesqPKmuX7++3Oofr8ybNw9qamqKno5KmY+PT6Gl/IiIiIiqCn9/fyQkJGD69OmIjY1FgwYNcODAAVlFRXR0NMRvLOOYlJSEYcOGITY2FsbGxvDw8MCpU6fg6uqq0HUVrqmmqoO1glSesH6Vyhu+J6k8Ksua6mPXVXdfnU+99z+no6wpnKkuKCjAwoUL8ccffyA6OrrQ2tTFretMRERERJVXVU/TKnyj4owZM7BgwQL4+/sjJSUFQUFB6NmzJ8RiMX744QcVhEhEREREVL4pPKnevHkzVq9ejW+//Rbq6uro27cvfv31V0yfPh1nzpxRRYxEREREVM5JIVLZVhEoPKmOjY2Fm5sbAEBPT0/2UJIuXbpg3759pRsdEREREVEFoPCkukaNGoiJiQEAODg44NChQwCA8+fPl9qTbYiIiIioYhEEkcq2ikDhSXWPHj1kC2p//fXXmDZtGpycnDBw4EB8+eWXpR4gEREREVF5p/DqH3PmzJH92d/fHzVr1sTp06fh5OSErl27lmpwRERERFQxVPXVPxSeVL/Ny8urxI99JCIiIiKqjEo0qd6zZ0+JT/jpp59+cDBEREREVDGVl8eUl5USTaq7d+9eopOJRCIUFBQoEw8RERERVUBSln+8n1QqVXUcREREREQVltI11UREREREFWXpO1Up8ZJ6//zzD1xdXZGamlrotZSUFNStWxf//vtvqQZHRERERFQRlHhSHRoaimHDhsHAwKDQa4aGhhg+fDgWLlxYqsERERERUcUgCKrbKoIST6qvXLmCDh06FPt6+/btcfHixVIJioiIiIioIilxTXVcXBw0NDSKP5G6OhISEkolKCIiIiKqWKRVfEm9Emeqra2tcf369WJfv3r1KqysrEolKCIiIiKiiqTEk+pOnTph2rRpyM7OLvRaVlYWgoOD0aVLl1INjoiIiIgqhqpeU13i8o+pU6di586dcHZ2RmBgIFxcXAAAt2/fxtKlS1FQUIApU6aoLFAiIiIiKr+q+pJ6JZ5UW1hY4NSpUxg5ciQmT54M4f8/NohEIvj5+WHp0qWwsLBQWaBEREREROWVQg9/sbW1xf79+5GUlIT79+9DEAQ4OTnB2NhYVfERERERUQXAx5R/AGNjYzRu3Li0YyEiIiIiqpD4mHIiIiIiUlpFuaFQVUq8+gcRERERERWNmWoiIiIiUprAh78QEREREZEymKkmIiIiIqVV9dU/mKkmIiIiIlISM9VEREREpLSqvvqHSBCq+o+AiIiIiJT1x2mpys7d26v8F1cwU03FytoSUtYhEMlo95uMlEtHyjoMIhnDRr6IvnerrMMgklPTqU5Zh1BlcVJNREREREqTClxSj4iIiIiIlMBMNREREREprarfpcdMNRERERGRkpipJiIiIiKlMVNNRERERERKYaaaiIiIiJRW1R9Tzkk1ERERESlN4JJ6RERERESkDGaqiYiIiEhpvFGRiIiIiIiUwkw1ERERESmtqt+oyEw1EREREZGSmKkmIiIiIqWxppqIiIiIqBJZunQp7OzsoKWlhaZNm+LcuXMlOm7r1q0QiUTo3r27wtfkpJqIiIiIlCYIqtsUERYWhqCgIAQHB+PSpUtwd3eHn58f4uPj33lcVFQUxo8fj5YtW37Q+DmpJiIiIiKlSQXVbYpYsGABhg0bhoCAALi6umLFihXQ0dHB2rVriz2moKAA/fv3x4wZM2Bvb/9B4+ekmoiIiIjKtZycHKSmpsptOTk5hfrl5ubi4sWL8PX1lbWJxWL4+vri9OnTxZ5/5syZMDc3x5AhQz44Rk6qiYiIiEhpqiz/CAkJgaGhodwWEhJSKIbnz5+joKAAFhYWcu0WFhaIjY0tMu4TJ05gzZo1WL16tVLj5+ofRERERFSuTZ48GUFBQXJtEolE6fOmpaVhwIABWL16NUxNTZU6FyfVRERERKQ0qVR155ZIJCWaRJuamkJNTQ1xcXFy7XFxcbC0tCzU/8GDB4iKikLXrl1lbdL/H4i6ujru3LkDBweHEsXI8g8iIiIiqhQ0NTXh4eGB8PBwWZtUKkV4eDi8vLwK9a9duzauXbuGiIgI2fbpp5+iTZs2iIiIgI2NTYmvzUw1ERERESmtvDz8JSgoCIMGDYKnpyeaNGmC0NBQZGRkICAgAAAwcOBAWFtbIyQkBFpaWqhXr57c8UZGRgBQqP19OKkmIiIiokrD398fCQkJmD59OmJjY9GgQQMcOHBAdvNidHQ0xOLSL9bgpJqIiIiIlFZeMtUAEBgYiMDAwCJfO3bs2DuPXb9+/Qddk5NqIiIiIlKaog9pqWx4oyIRERERkZKYqSYiIiIipQkqrf8QqfDcpYOZaiIiIiIiJTFTTURERERKK083KpYFZqqJiIiIiJTETDWRAraeu4UNp64jMT0LzpYmmNixKdyszYrsO2T937j4KK5QewunGvilny8AYNqu/7D3ygO5170dqmPZF+1LP3iqlLYdOo7f9h5BYkoqnGpaY/zg3qjraFds/7SMTCwP24uj5yOQmp4JS1MTBA3sheYNXz7kYNX2ffh1x365Y2yrW2Db/OmqHAZVIrv/2o9tO//Ei6RkONSyw+jhw1DbxbnIvgePhOPn0CVybRoaGtj/5zbZflJSMlav34CLlyOQkZEBt7p1MXr4MNSwrq7ScZDiVPmY8oqAk2oVyMvLg4aGRlmHQaXs4PWHmH/oPKZ09oJbDTNsPnMTo347jN2BPWCiq12o/wL/tsgrKJDtJ2fmwH/FHrRztZXr19zRGjO6NZfta6qpqW4QVKkcPn0RoZt2YtKQPqjraIetfx/FmDm/YNv8YJgY6hfqn5efj8DZS2BioI8544bCzMQIsQkvoPfW+9e+hhV+mfK1bF9dzPcklcyxf09g5a9rMWb0SNRxccbO3XswefoMrF25FMb//5S6t+no6GDdyqWyfdEbN6QJgoDgH0Ogrq6GmVO/h46ODnbs2o2JU4Px6/Il0NbSUvWQiEqsUpV/+Pj44Ouvv8a4ceNgbGwMCwsLrF69WvZoSn19fTg6OuLvv/+WHVNQUIAhQ4agVq1a0NbWhouLCxYtWlTo3GvXrkXdunUhkUhgZWUlt6C4SCTC8uXL8emnn0JXVxezZs0CACxfvhwODg7Q1NSEi4sLNm3a9M74z58/j3bt2sHU1BSGhoZo3bo1Ll26JHu9X79+8Pf3lzsmLy8Ppqam2LhxIwAgLS0N/fv3h66uLqysrLBw4UL4+Phg3LhxCv88Sd6mMzfQs5Ezujd0goOZEaZ28YKWhjp2Xb5XZH9DbQlM9XRk25nIZ9DSUEd7Vzu5fhpqYrl+BtqSjzAaqgy27AtH97be6OrjBfsaVpg0pA+0NDWx99jpIvvvOXoaqemZmPftcLi7OKC6WTU0cnWCs20NuX5qamKYGhnKNiMDvY8xHKoEduzajY5+7dGh3SewrWmDsaNHQiKR4ODh8GKPEYkAE2Nj2WZsbCR77emzZ7h15w7GjBoBF2cn2NSwxphRI5Cbm4ujx//7CCMiRQiC6raKoFJNqgFgw4YNMDU1xblz5/D1119j5MiR+Pzzz+Ht7Y1Lly6hffv2GDBgADIzMwEAUqkUNWrUwLZt23Dz5k1Mnz4d33//Pf744w/ZOZcvX47Ro0fjq6++wrVr17Bnzx44OjrKXfeHH35Ajx49cO3aNXz55Zf4888/MXbsWHz77be4fv06hg8fjoCAABw9erTY2NPS0jBo0CCcOHECZ86cgZOTEzp16oS0tDQAQP/+/bF3716kp6fLjjl48CAyMzPRo0cPAC+fd3/y5Ens2bMHhw8fxn///Sc3MacPk1dQgFvPEtHU3krWJhaJ0NTeClefJJToHLsu34NfvVrQ1pT/FuNCVCzazNuKbr/sxKy/TiM5M7tUY6fKKS8/H7cfPkbjerVlbWKxGI3r1ca1e5FFHvPfpatwc6qFn9aFocPwSegz4Ues23UABW99Z/s4NgGdRn6P7mOnY9ov6xD7/IVKx0KVQ15eHu7ef4BGDerL2sRiMRo1cMfN23eKPS4rKxv9A4ah3+AhmP6/2Yh6FC13TgDQfOPfTbFYDA0NdVy/eVMFoyBlSAXVbRVBpSv/cHd3x9SpUwEAkydPxpw5c2Bqaophw4YBAKZPn47ly5fj6tWraNasGTQ0NDBjxgzZ8bVq1cLp06fxxx9/oHfv3gCAH3/8Ed9++y3Gjh0r69e4cWO56/br1w8BAQGy/b59+2Lw4MEYNWoUgJeT3TNnzuDnn39GmzZtioy9bdu2cvurVq2CkZERjh8/ji5dusDPzw+6urr4888/MWDAAADAli1b8Omnn0JfXx9paWnYsGEDtmzZgk8++QQAsG7dOlSv/u66s5ycHOTk5Mi1SSTMlr4pKTMHBYKAam99TV5NVxtRz1Pee/y1pwm4H5+M4E+by7U3d7TGJ3VsYW2kj8dJqfgl/BJGbz6CjUM6QU1c6T7zUilKTk1HgVRaqMzDxFAfj57FFnnM0/hEXEi4C7/mjbFw4ig8iUvA3LVhyM8vwLDPOgMA6jnaYfqIAbC1ssDz5BT8umM/vpqxAL//NBW62vyqnYqXkpoGqVRaqMzD2MgQj588KfIYG2trjB/7NWrVskVGRia279yFsRMm4ddli2FmagqbGjVgbmaGNRs2YVzgKGhJJNixey8SnifixYukjzAqopKrdP9r16//+hOympoaqlWrBjc3N1mbhYUFACA+Pl7WtnTpUnh4eMDMzAx6enpYtWoVoqOjZf2ePXsmm6QWx9PTU27/1q1baN78rQlU8+a4detWseeIi4vDsGHD4OTkBENDQxgYGCA9PV0Wi7q6Onr37o3NmzcDADIyMrB79270798fABAZGYm8vDw0adJEdk5DQ0O4uLi8M/aQkBAYGhrKbSEhIe88hhSz69I9OJkbF7qpsUM9e/i41ISThTHa1rbF4n6+uPHsOS5EFT0pIlKGVCrA2EAf3w/rhzr2NdHOywMB3f2wM/yErI93g7rwbdYITrbW8HJ3RejEUUjLyMKRM/zGi0qfa53aaPdJGzja28PdrR6Cp0yCkaEB9v19EMDL//eCp0zEk6fP0LPPF+jSyx9Xrl5DY49GEDPxUO5U9fKPSpepfvsGQZFIJNcmEr28AUL6/193bt26FePHj8f8+fPh5eUFfX19zJs3D2fPngUAaGsXvgGtKLq6ukrHPmjQICQmJmLRokWwtbWFRCKBl5cXcnNzZX369++P1q1bIz4+HocPH4a2tjY6dOig1HUnT56MoKAguTaJRALpjgVKnbcyMdaRQE0kQmJGllx7YkYWTPXe/R7Jys3DwRsPMdKn4XuvU8NYH8Y6Ejx+kYam9kqFTJWckYEe1MRivEhJk2t/kZKGakYGRR5jamQAdXU1uW9BallbIjE5FXn5+dBQL/xfgr6uDmpameNJbMnKnKjqMjTQh1gsRlJyslx7UnIKjI2NS3QOdXV1ONjb42nM68SCs6MjVi4JRUZGBvLy82FkaIivgybAycnxHWci+viq/Me8kydPwtvbG6NGjULDhg3h6OiIBw9eL3Gmr68POzs7hIcXf5NFUerUqYOTJ08Wuparq+s7YxkzZgw6deokuyny+fPncn28vb1hY2ODsLAwbN68GZ9//rnsQ4O9vT00NDRw/vx5Wf+UlBTcvXv3nbFKJBIYGBjIbSz/kKehpoY61avhXGSMrE0qCDgXGYP6NYpeUu+VQzejkJtfgM713z9LjkvNQHJmDkz1S/ZhjqouDXV11K5lg/PXX9eqSqVSXLhxB25ORb/X3F3s8SQ2QZZUAIDomHiYGhkWOaEGgMzsbDyNew5T46In6kSvaGhowNnRAZevXJW1SaVSXL5yFa613/2N6SsFBQWIevQI1YqYhOvq6sLI0BBPnj7D3fsP4N20SRFnoLIkSAWVbRVBpctUK8rJyQkbN27EwYMHUatWLWzatAnnz59HrVq1ZH1++OEHjBgxAubm5ujYsSPS0tJw8uRJfP3118Wed8KECejduzcaNmwIX19f7N27Fzt37sSRI0feGcumTZvg6emJ1NRUTJgwochMeb9+/bBixQrcvXtX7sZHfX19DBo0CBMmTICJiQnMzc0RHBwMsVgsy9DThxvQrC6m7foPrtVNUc/aFJvP3ERWXj66NXACAEz98z+Y6+tgjK+H3HG7Lt9Dm9o1YaQjX4+amZuHFcci4Otqi2p62njyIg2hRy7CxsQA3g7WH21cVHH16/wJZizfiDr2Nf9/Sb1/kJWTgy6tmwEAgpdtgLmxEUb37QYA6NWuFbYd+hfzN2xH7w6t8TgmAet3HUTvDj6ycy76bSdaNnKDpZkJnielYNW2fRCLxWjv7VlUCERyenXvhp8WLoKzkyNcnJ3w5+69yM7Ohp/vyxLKufNDYVqtGoYMfnlf0Kbfw1DHxRnW1a2Qnp6BP3buQlx8Ajr6tZOd8/iJkzAyMIC5uRkeRj3CslW/wrtZE3g2ev+3f0QfU5WfVA8fPhyXL1+Gv78/RCIR+vbti1GjRsktuzdo0CBkZ2dj4cKFGD9+PExNTfHZZ5+987zdu3fHokWL8PPPP2Ps2LGoVasW1q1bBx8fn2KPWbNmDb766is0atQINjY2mD17NsaPH1+oX//+/TFr1izY2toWqttesGABRowYgS5dusDAwADfffcdHj9+DC2u5ak0v3q1kJSZjeXHLuN5ehZcLE2wrH87VPv/8o+YlHS8/dkl6nkKLkfHY3kRD3MRi0S4F5+EvVceIC07F2b62vBysMboNg2hqc51gen92nl5ICk1Dau2/4XE5DQ421pj0aTRsvKPuOdJEL/xprSoZoxFk0YjdNMO9J84G2bGRvDv6IOBn75+f8a/SMbUJeuQkp4BYwM9uLs4YO3/xsPYoPC610Rv82nVAskpKdjw2+9ISkqCg30tzJ4ZLFsmLz4hASLx6/dkeno6Fi5ZhqSkJOjp6cHJ0QGL5s2BbU0bWZ8XL5Kw8te1SEpOgYmxMdq19UH/Pr0/9tCoBCpIQlllRIJQUcq/6UNkZGTA2toa8+fPx5AhQxQ6NmsLb1ak8kO732SkXCr+mx6ij82wkS+i7xV/8zlRWajpVKfMrv3TDtU9UvG7XuW/YrnKZ6orm8uXL+P27dto0qQJUlJSMHPmTABAt27dyjgyIiIiqsyqepqWk+pK6Oeff8adO3egqakJDw8P/PfffzA1NS3rsIiIiKgSk1bx+g9OqiuZhg0b4uLFi2UdBhEREVGVwkk1ERERESmtqpd/lP+qbyIiIiKico6ZaiIiIiJSGjPVRERERESkFGaqiYiIiEhp0iqeqmammoiIiIhIScxUExEREZHSBNU9ULFC4KSaiIiIiJQmsPyDiIiIiIiUwUw1ERERESlNWsXLP5ipJiIiIiJSEjPVRERERKQ01lQTEREREZFSmKkmIiIiIqVJq3aimplqIiIiIiJlMVNNREREREoTqniqmpNqIiIiIlJaFb9PkeUfRERERETKYqaaiIiIiJQmreLlH8xUExEREREpiZlqIiIiIlIaH/5CRERERERKYaaaiIiIiJQmSMs6grLFTDURERERkZKYqSYiIiIipUlZU01ERERERMrgpJqIiIiIlCYIgso2RS1duhR2dnbQ0tJC06ZNce7cuWL77ty5E56enjAyMoKuri4aNGiATZs2KXxNln8QERERkdLKy8NfwsLCEBQUhBUrVqBp06YIDQ2Fn58f7ty5A3Nz80L9TUxMMGXKFNSuXRuampr466+/EBAQAHNzc/j5+ZX4usxUExEREVGlsWDBAgwbNgwBAQFwdXXFihUroKOjg7Vr1xbZ38fHBz169ECdOnXg4OCAsWPHon79+jhx4oRC1+WkmoiIiIiUJgiq23JycpCamiq35eTkFIohNzcXFy9ehK+vr6xNLBbD19cXp0+fLsEYBISHh+POnTto1aqVQuNn+QcVS7vf5LIOgUiOYSPf93ci+ohqOtUp6xCIqoSQkBDMmDFDri04OBg//PCDXNvz589RUFAACwsLuXYLCwvcvn272POnpKTA2toaOTk5UFNTw7Jly9CuXTuFYuSkmoqVtSWkrEMgktHuNxkpl46UdRhEMoaNfBF971ZZh0Ekpyw/6AkqrKmePHkygoKC5NokEkmpnV9fXx8RERFIT09HeHg4goKCYG9vDx8fnxKfg5NqIiIiIirXJBJJiSbRpqamUFNTQ1xcnFx7XFwcLC0tiz1OLBbD0dERANCgQQPcunULISEhCk2qWVNNREREREqTCoLKtpLS1NSEh4cHwsPDX8cllSI8PBxeXl4lH4tUWmTN9rswU01ERERElUZQUBAGDRoET09PNGnSBKGhocjIyEBAQAAAYODAgbC2tkZIyMsy15CQEHh6esLBwQE5OTnYv38/Nm3ahOXLlyt0XU6qiYiIiEhpqqypVoS/vz8SEhIwffp0xMbGokGDBjhw4IDs5sXo6GiIxa+LNTIyMjBq1Cg8efIE2traqF27Nn777Tf4+/srdF2R8CGPqaEqgTcqUnnCGxWpvOGNilQeleWNiqN/TlbZuZeON1LZuUsLa6qJiIiIiJTE8g8iIiIiUlo5qf4oM8xUExEREREpiZlqIiIiIlJaeblRsawwU01EREREpCRmqomIiIhIaVV9QTlmqomIiIiIlMRMNREREREpTVrFa6o5qSYiIiIipbH8g4iIiIiIlMJMNREREREpjUvqERERERGRUpipJiIiIiKlMVNNRERERERKYaaaiIiIiJQm5eofRERERESkDGaqiYiIiEhpVb2mmpNqIiIiIlIaH/5CRERERERKYaaaiIiIiJQmreLlH8xUExEREREpiZlqIiIiIlJaVb9RkZlqIiIiIiIlMVNNRERERErj6h9ERERERKSUSjWptrOzQ2hoaIn7R0VFQSQSISIiQmUxvWn9+vUwMjL6KNciIiIi+pgEqVRlW0VQqco/zp8/D11d3VI95/r16zFu3DgkJyeX6nmpYtp67hY2nLqOxPQsOFuaYGLHpnCzNiuy75D1f+Pio7hC7S2cauCXfr4AgGm7/sPeKw/kXvd2qI5lX7Qv/eCpUtp26Dh+23sEiSmpcKppjfGDe6Ouo12x/dMyMrE8bC+Ono9AanomLE1NEDSwF5o3rAcAWLV9H37dsV/uGNvqFtg2f7oqh0GVyO6/9mPbzj/xIikZDrXsMHr4MNR2cS6y78Ej4fg5dIlcm4aGBvb/uU22n5SUjNXrN+Di5QhkZGTArW5djB4+DDWsq6t0HKS4qr6kXqWaVJuZFT25ISoNB68/xPxD5zGlsxfcaphh85mbGPXbYewO7AETXe1C/Rf4t0VeQYFsPzkzB/4r9qCdq61cv+aO1pjRrblsX1NNTXWDoErl8OmLCN20E5OG9EFdRzts/fsoxsz5BdvmB8PEUL9Q/7z8fATOXgITA33MGTcUZiZGiE14Ab233r/2Nazwy5SvZfvqYr4nqWSO/XsCK39dizGjR6KOizN27t6DydNnYO3KpTAu5ptaHR0drFu5VLYvgkj2Z0EQEPxjCNTV1TBz6vfQ0dHBjl27MXFqMH5dvgTaWlqqHhJRiZVZ+cdff/0FIyMjFPz/pCMiIgIikQiTJk2S9Rk6dCi++OIL2f6JEyfQsmVLaGtrw8bGBmPGjEFGRobs9bfLP27fvo0WLVpAS0sLrq6uOHLkCEQiEXbt2iUXS2RkJNq0aQMdHR24u7vj9OnTAIBjx44hICAAKSkpEIlEEIlE+OGHHwAAOTk5GD9+PKytraGrq4umTZvi2LFjcuddv349atasCR0dHfTo0QOJiYnv/blMnDgRzs7O0NHRgb29PaZNm4a8vDwAwN27dyESiXD79m25YxYuXAgHBwfZ/p49e+Dk5AQtLS20adMGGzZsgEgkYrZdSZvO3EDPRs7o3tAJDmZGmNrFC1oa6th1+V6R/Q21JTDV05FtZyKfQUtDHe1d7eT6aaiJ5foZaEs+wmioMtiyLxzd23qjq48X7GtYYdKQPtDS1MTeY6eL7L/n6Gmkpmdi3rfD4e7igOpm1dDI1QnOtjXk+qmpiWFqZCjbjAz0PsZwqBLYsWs3Ovq1R4d2n8C2pg3Gjh4JiUSCg4fDiz1GJAJMjI1lm7Gxkey1p8+e4dadOxgzagRcnJ1gU8MaY0aNQG5uLo4e/+8jjIgUIQiCyraKoMwm1S1btkRaWhouX74MADh+/DhMTU3lJqbHjx+Hj48PAODBgwfo0KEDevXqhatXryIsLAwnTpxAYGBgkecvKChA9+7doaOjg7Nnz2LVqlWYMmVKkX2nTJmC8ePHIyIiAs7Ozujbty/y8/Ph7e2N0NBQGBgYICYmBjExMRg/fjwAIDAwEKdPn8bWrVtx9epVfP755+jQoQPu3Xs5wTp79iyGDBmCwMBAREREoE2bNvjxxx/f+3PR19fH+vXrcfPmTSxatAirV6/GwoULAQDOzs7w9PTE5s2b5Y7ZvHkz+vXrBwB4+PAhPvvsM3Tv3h1XrlzB8OHDix03lVxeQQFuPUtEU3srWZtYJEJTeytcfZJQonPsunwPfvVqQVtTQ679QlQs2szbim6/7MSsv04jOTO7VGOnyikvPx+3Hz5G43q1ZW1isRiN69XGtXuRRR7z36WrcHOqhZ/WhaHD8EnoM+FHrNt1AAVv1Ss+jk1Ap5Hfo/vY6Zj2yzrEPn+h0rFQ5ZCXl4e79x+gUYP6sjaxWIxGDdxx8/adYo/LyspG/4Bh6Dd4CKb/bzaiHkXLnRMANN/4d1MsFkNDQx3Xb95UwSiIPlyZTaoNDQ3RoEED2ST62LFj+Oabb3D58mWkp6fj6dOnuH//Plq3bg0ACAkJQf/+/TFu3Dg4OTnB29sbixcvxsaNG5GdXXgScvjwYTx48AAbN26Eu7s7WrRogVmzZhUZy/jx49G5c2c4OztjxowZePToEe7fvw9NTU0YGhpCJBLB0tISlpaW0NPTQ3R0NNatW4dt27ahZcuWcHBwwPjx49GiRQusW7cOALBo0SJ06NAB3333HZydnTFmzBj4+fm99+cydepUeHt7w87ODl27dsX48ePxxx9/yF7v378/fv/9d9n+3bt3cfHiRfTv3x8AsHLlSri4uGDevHlwcXFBnz59MHjw4HdeMycnB6mpqXJbTk7Oe2OtSpIyc1AgCKj21tfk1XS18Tw9673HX3uagPvxyejRyEmuvbmjNX7s0RKrBvphrK8HLj6KxejNRwpNcojelpyajgKptFCZh4mhPhKTU4s85ml8Iv45dxkFUikWThyFIT07YvO+f7B259+yPvUc7TB9xAAsmjQaE7/sg2fxifhqxgJkZPHDHr1bSmoapFJpoTIPYyNDJCUlFXmMjbU1xo/9GjOmTcbEb7+BIJVi7IRJSHj+/OXrNWrA3MwMazZsQlp6OvLy8rB1+04kPE/EixdFn5PKjiAVVLZVBGW6+kfr1q1x7NgxCIKA//77Dz179kSdOnVw4sQJHD9+HNWrV4eT08tJyJUrV7B+/Xro6enJNj8/P0ilUjx8+LDQue/cuQMbGxtYWlrK2po0aVJkHPXrv/5UbWX1MhMZHx9fbNzXrl1DQUEBnJ2d5eI5fvw4Hjx4edPZrVu30LRpU7njvLy83vszCQsLQ/PmzWUT+KlTpyI6+vWn9j59+iAqKgpnzpwB8DJL3ahRI9SuXVs27saNG8uds7hxvxISEgJDQ0O5LSQk5L2xUsntunQPTubGhW5q7FDPHj4uNeFkYYy2tW2xuJ8vbjx7jgtRsWUUKVVmUqkAYwN9fD+sH+rY10Q7Lw8EdPfDzvATsj7eDerCt1kjONlaw8vdFaETRyEtIwtHzlwqw8ipsnKtUxvtPmkDR3t7uLvVQ/CUSTAyNMC+vw8CANTV1RE8ZSKePH2Gnn2+QJde/rhy9RoaezSCWFypFjCjSqBMb1T08fHB2rVrceXKFWhoaKB27drw8fHBsWPHkJSUJMtSA0B6ejqGDx+OMWPGFDpPzZo1lYpDQ+P110oi0csbJKTvyBSmp6dDTU0NFy9ehNpbN5Xp6X147eHp06fRv39/zJgxA35+fjA0NMTWrVsxf/58WR9LS0u0bdsWW7ZsQbNmzbBlyxaMHDnyg68JAJMnT0ZQUJBcm0QigXTHAqXOW5kY60igJhIhMUM+K52YkQVTvcI3Kb4pKzcPB288xEifhu+9Tg1jfRjrSPD4RRqa2isVMlVyRgZ6UBOL8SIlTa79RUoaqhkZFHmMqZEB1NXVoPbGZKSWtSUSk1ORl58PDfXC/yXo6+qgppU5nsSWrMyJqi5DA32IxWIkvXX/TlJyCoyNjUt0DnV1dTjY2+NpzOvEgrOjI1YuCUVGRgby8vNhZGiIr4MmwMnJsTTDp1JQUTLKqlKmH/Ne1VUvXLhQNoF+Nak+duyYrJ4aABo1aoSbN2/C0dGx0KapqVno3C4uLnj8+DHi4l4vaXb+/HmFY9TU1JTdTPlKw4YNUVBQgPj4+EKxvMqM16lTB2fPnpU77lV2uTinTp2Cra0tpkyZAk9PTzg5OeHRo0eF+vXv3x9hYWE4ffo0IiMj0adPH7lxX7hwQa7/+8YtkUhgYGAgt0kkvFnuTRpqaqhTvRrORcbI2qSCgHORMahf492rzhy6GYXc/AJ0rv/+WXJcagaSM3Ngqv/uiTqRhro6ateywfnrr2tVpVIpLty4Azenot9r7i72eBKbIJc0iI6Jh6mRYZETagDIzM7G07jnMDUueqJO9IqGhgacHR1w+cpVWZtUKsXlK1fhWtulROcoKChA1KNHqFbEJFxXVxdGhoZ48vQZ7t5/AO+m7/4WluhjK9NJtbGxMerXr4/NmzfLJtCtWrXCpUuXcPfuXblM9cSJE3Hq1CnZjX//1969R0VVrn8A/w4YIwkoiEIQF+USWNwEPSIpWiheoixLUwwvqSGMN6iQozAUJHhL0RSNVDh5FF0iWNpB0yOW4z0EbYmIaI75Q7yBiiIYs39/nNOuOYBAW2TE72etWcu932fv992z3r3Xw+u73ykuLsb27dsbfFFx0KBBcHBwwPjx43Hy5EmoVCrMmzcPwB+j0U1hb2+PyspK7N27F9evX8e9e/fg7OyM4OBghISEYNu2bbhw4QKOHj2KxMRE7Ny5EwAwY8YM5OTkYPHixSguLsYXX3yBnJych9bl5OQEtVqNjIwMlJSUYPny5cjKyqoT99Zbb+HOnTuYNm0aBg4cCCurP9bq/OCDD3DmzBlERUXh7Nmz2LJlC9LS0pp93VTXe31exLa8s/gm/xzOX6vAZzsOoerBb3jD8z9TlOZl/Yjle36qc1z2iWIMdLFFp2e1l366V/MAn+8+hpO/XsXlijs4cv7/MCvj37AxM0FfB+vHck30ZBs7/FVs36fCjv2HceHyFSxYl4Gq6mq85t8HAKBclY6Vm7aL8SMH9cftu/ewJH0rLpaW4UDez0jL3oW3B/cXY5I3bEPe6WL837UbOHn2PD5ekgo9PT0M7uvz2K+PnjwjR7yB73Z9j917/42Lly5h+arVuH//PgIDXgUALFiyDGvTvhbjv960GcfzTqD0yhUUnytB0pJlKLt6DUMDB4kx+w+oUHDyFEqvXMHBw0cwJ0aJvn16w6dn4//7R4+XRtC02OdJ0OrrVPv7+yM/P19Mqs3MzNCjRw+UlZXhhRf++MvW3d0d+/fvx9y5c9GvXz8IggAHBweMHj263vPq6+sjOzsbkydPRq9evdC9e3csWrQIQUFBaN+MdS379u2L0NBQjB49Gjdu3IBSqURcXBzWr1+PhIQEREZG4vLlyzA3N0efPn3w2muvAQD69OmD1NRUKJVKxMbGIiAgAPPmzUN8fHyDdb3++uuYPXs2FAoFqqurMXz4cMTExIjL+P3O2NgYQUFB2LJlC9atW6dV1q1bN2zduhWRkZFITk6Gr68v5s6di2nTpnH0WaLAl7qh/N59pOSewPXKKrxgaYZVwYPQ+b/TP0pvVeJ//2755fotnFBfRUo9P+aiJ5Oh+Go5vi0owZ37NehibAhfB2uED/SCQTuuC0yNG+TrjfLbd/Dl1h24UXEHznbWSJ4TLk7/KLteDr0/dUqLzqZInhOOZV9nIjhqPrqYdsLooQMQ8vof/fPqzQrMW7EetyrvwtTECB4vOGBd/IcwNam77jXR/xrQ/2VU3LqF9A2bUF5eDofu3TD/U6W4TN7Va9cg0/ujT1ZWVmLpilUoLy+HkZERnBwdkLwoCXa2NmLMzZvlWPPVOpRX3IKZqSkGvTIAwe+OetyXRk3wtE//kAlPyuJ/j4BKpcLLL7+Mc+fOaa3r3NZ99tlnWL16NS5dutSs46o28mVF0h2GY6NxK29PazeDSNSxZwDUxYWt3QwiLbZOrq1W95uK+n+34VHI+sKp8aBW1uoj1S0pKyvrP3/5Ojnh3LlzmDlzJvz8/Np8Qr1q1Sr06tULnTt3hkqlwqJFixqcJkNERET0KDztI9VtOqm+c+cOoqKioFarYW5ujoCAAK2VNNqq4uJiJCQk4ObNm7C1tUVkZCSio6Nbu1lEREREbVabTqpDQkIQEhLS2s147JYuXSr+CiMRERHR4/AUzSiuF1dOJyIiIiKSqE2PVBMRERHR4/GwH857GnCkmoiIiIhIIo5UExEREZFkXP2DiIiIiEgi4Qn55cOWwukfREREREQSMakmIiIiIskEjdBin+ZauXIl7O3t0b59e/ztb3/D0aNHG4xNTU1Fv379YGpqClNTUwQEBDw0viFMqomIiIiozdi8eTMiIiKgVCqRl5cHDw8PBAYG4urVq/XG5+bmYsyYMdi3bx8OHToEGxsbDB48GJcvX25WvUyqiYiIiEiylhyprq6uxu3bt7U+1dXV9bbj888/x5QpUzBx4kT06NEDq1evxrPPPot169bVG//Pf/4TYWFh8PT0hIuLC7766itoNBrs3bu3WdfPpJqIiIiIdFpiYiI6duyo9UlMTKwTV1NTg59++gkBAQHiPj09PQQEBODQoUNNquvevXt48OABzMzMmtVGrv5BRERERJJpWnD1j+joaERERGjtk8vldeKuX7+O2tpaWFhYaO23sLDAmTNnmlRXVFQUrKystBLzpmBSTUREREQ6TS6X15tEP2pJSUnIyMhAbm4u2rdv36xjmVQTERERkWS68OMv5ubm0NfXR1lZmdb+srIyWFpaPvTYxYsXIykpCXv27IG7u3uz6+acaiIiIiKSTNBoWuzTVAYGBvD29tZ6yfD3lw59fX0bPG7hwoWIj49HTk4OfHx8/tL1c6SaiIiIiNqMiIgIjB8/Hj4+PujduzeWLVuGu3fvYuLEiQCAkJAQWFtbiy86LliwALGxsdi4cSPs7e1x5coVAICRkRGMjIyaXC+TaiIiIiKSTBemfwDA6NGjce3aNcTGxuLKlSvw9PRETk6O+PKiWq2Gnt4fkzVSUlJQU1ODt99+W+s8SqUScXFxTa6XSTURERERtSkKhQIKhaLestzcXK3tX3755ZHUyaSaiIiIiCQTWnBJvScBX1QkIiIiIpKII9VEREREJJlGR+ZUtxaOVBMRERERScSRaiIiIiKSrDnrSbdFHKkmIiIiIpKII9VEREREJJmurFPdWphUExEREZFkXFKPiIiIiIgk4Ug1EREREUn2tE//4Eg1EREREZFEHKkmIiIiIsm4pB4REREREUkiEwTh6Z4AQ9RCqqurkZiYiOjoaMjl8tZuDhEA9kvSPeyT1FYwqSZqIbdv30bHjh1x69YtmJiYtHZziACwX5LuYZ+ktoLTP4iIiIiIJGJSTUREREQkEZNqIiIiIiKJmFQTtRC5XA6lUskXb0insF+SrmGfpLaCLyoSEREREUnEkWoiIiIiIomYVBMRERERScSkmoiIiIhIIibVRC0kNzcXMpkMFRUVjzSW6HGKi4uDp6enuD1hwgSMGDGi1dpDj48gCJg6dSrMzMwgk8mQn5/f2k0i0mlMqolaSN++fVFaWoqOHTs+0lgioschJycHaWlp2LFjB0pLS3H79m0EBQXBysoKMpkM2dnZrd1EIp3CpJqoHjU1NZLPYWBgAEtLS8hkskcaS/S7R9FPiRpSUlKC5557Dn379oWlpSXu3r0LDw8PrFy5srWb1iDeE9SamFTTU2HAgAFQKBRQKBTo2LEjzM3NERMTg99XlLS3t0d8fDxCQkJgYmKCqVOnAgAOHDiAfv36wdDQEDY2NpgxYwbu3r0rnre6uhpRUVGwsbGBXC6Ho6Mj1q5dC6DulI6LFy8iKCgIpqam6NChA1588UV899139cYCQGZmJl588UXI5XLY29tjyZIlWtdkb2+P+fPnY9KkSTA2NoatrS2+/PLLlvoKSQf83o9nzZoFc3NzBAYG4ueff8bQoUNhZGQECwsLvPfee7h+/bp4jEajwcKFC+Ho6Ai5XA5bW1t89tlnYnlUVBScnZ3x7LPPonv37oiJicGDBw9a4/JIh0yYMAHTp0+HWq2GTCaDvb09hg4dioSEBLz55ptNPo8gCIiLi4OtrS3kcjmsrKwwY8YMsfxhz1AA2L9/P3r37g25XI7nnnsOc+bMwW+//SaW13dPAGj0viBqCUyq6amRnp6Odu3a4ejRo0hOTsbnn3+Or776SixfvHgxPDw8cOLECcTExKCkpARDhgzByJEjcfLkSWzevBkHDhyAQqEQjwkJCcGmTZuwfPlyFBYWYs2aNTAyMqq3/vDwcFRXV+OHH37AqVOnsGDBggZjf/rpJ4waNQrvvvsuTp06hbi4OMTExCAtLU0rbsmSJfDx8cGJEycQFhaGadOmoaioSPqXRTorPT0dBgYGUKlUSEpKwiuvvAIvLy8cP34cOTk5KCsrw6hRo8T46OhoJCUlISYmBqdPn8bGjRthYWEhlhsbGyMtLQ2nT59GcnIyUlNTsXTp0ta4NNIhycnJ+PTTT/H888+jtLQUx44d+0vnyczMxNKlS7FmzRoUFxcjOzsbbm5uYvnDnqGXL1/GsGHD0KtXLxQUFCAlJQVr165FQkKCVh1/vidWr16NioqKRu8LohYhED0F/P39BVdXV0Gj0Yj7oqKiBFdXV0EQBMHOzk4YMWKE1jHvv/++MHXqVK19P/74o6CnpydUVVUJRUVFAgDh+++/r7fOffv2CQCE8vJyQRAEwc3NTYiLi2tS7NixY4VBgwZpxXz00UdCjx49xG07Ozth3Lhx4rZGoxG6du0qpKSkPOSboCeZv7+/4OXlJW7Hx8cLgwcP1oq5dOmSAEAoKioSbt++LcjlciE1NbXJdSxatEjw9vYWt5VKpeDh4SFujx8/XnjjjTf+8jXQk2Pp0qWCnZ1dvWUAhKysrEbPsWTJEsHZ2VmoqampU9bYM/Tvf/+78MILL2g9t1euXCkYGRkJtbW1giDUvScEofH7gqilcKSanhp9+vTRmrPs6+uL4uJi1NbWAgB8fHy04gsKCpCWlgYjIyPxExgYCI1GgwsXLiA/Px/6+vrw9/dvUv0zZsxAQkIC/Pz8oFQqcfLkyQZjCwsL4efnp7XPz89Pq70A4O7uLv5bJpPB0tISV69ebVJ76Mnk7e0t/rugoAD79u3T6qMuLi4A/jMftrCwENXV1Xj11VcbPN/mzZvh5+cHS0tLGBkZYd68eVCr1S1+HdT2zJ8/X6svqtVqvPPOO6iqqkL37t0xZcoUZGVlidM3GnuGFhYWwtfXV+u57efnh8rKSvz666/ivj/fE0Dj9wVRS2FSTfRfHTp00NqurKzEBx98gPz8fPFTUFCA4uJiODg4wNDQsFnnnzx5Ms6fP4/33nsPp06dgo+PD1asWCGpzc8884zWtkwmg0ajkXRO0m1/7qeVlZUICgrS6qP5+fkoLi5G//79G+2jhw4dQnBwMIYNG4YdO3bgxIkTmDt3Ll/2or8kNDRUqx9aWVnBxsYGRUVFWLVqFQwNDREWFob+/fvjwYMHzX6GNqS+Z/fD7guiltKutRtA9LgcOXJEa/vw4cNwcnKCvr5+vfE9e/bE6dOn4ejoWG+5m5sbNBoN9u/fj4CAgCa1wcbGBqGhoQgNDUV0dDRSU1Mxffr0OnGurq5QqVRa+1QqFZydnRtsLz19evbsiczMTNjb26Ndu7qPcycnJxgaGmLv3r2YPHlynfKDBw/Czs4Oc+fOFfddvHixRdtMbZeZmRnMzMzq7Dc0NERQUBCCgoIQHh4OFxcXnDp1qtFnqKurKzIzMyEIgjharVKpYGxsjOeff77BdjR2XxC1FI5U01NDrVYjIiICRUVF2LRpE1asWIGZM2c2GB8VFYWDBw9CoVCIoxzbt28XX1S0t7fH+PHjMWnSJGRnZ+PChQvIzc3Fli1b6j3frFmzsGvXLly4cAF5eXnYt28fXF1d642NjIzE3r17ER8fj7NnzyI9PR1ffPEFPvzwQ+lfBLUZ4eHhuHnzJsaMGYNjx46hpKQEu3btwsSJE1FbW4v27dsjKioKH3/8Mf7xj3+gpKQEhw8fFldXcHJyglqtRkZGBkpKSrB8+XJkZWW18lWRrqqsrBRHfQGI0+AeNl0oLS0Na9euxc8//4zz589jw4YNMDQ0hJ2dXaPP0LCwMFy6dAnTp0/HmTNnsH37diiVSkREREBPr+H0pbH7gqilMKmmp0ZISAiqqqrQu3dvhIeHY+bMmeLSefVxd3fH/v37cfbsWfTr1w9eXl6IjY2FlZWVGJOSkoK3334bYWFhcHFxwZQpU7SW3Puz2tpahIeHw9XVFUOGDIGzszNWrVpVb2zPnj2xZcsWZGRk4KWXXkJsbCw+/fRTTJgwQdJ3QG2LlZUVVCoVamtrMXjwYLi5uWHWrFno1KmTmHTExMQgMjISsbGxcHV1xejRo8V596+//jpmz54NhUIBT09PHDx4EDExMa15SaTDjh8/Di8vL3h5eQEAIiIixOdiQzp16oTU1FT4+fnB3d0de/bswbfffovOnTsDePgz1NraGt999x2OHj0KDw8PhIaG4v3338e8efMe2s6m3BdELUEmCP9dqJeoDRswYAA8PT2xbNmy1m4KERERtUH8k42IiIiISCIm1UREREREEnH6BxERERGRRBypJiIiIiKSiEk1EREREZFETKqJiIiIiCRiUk1EREREJBGTaiIiIiIiiZhUExGRSCaTITs7u7WbQUT0xGFSTUSkYyZMmACZTIbQ0NA6ZeHh4ZDJZE3+yfrc3FzIZDJUVFQ0Kb60tBRDhw5tRmuJiAhgUk1EpJNsbGyQkZGBqqoqcd/9+/exceNG2NraPvL6ampqAACWlpaQy+WP/PxERG0dk2oiIh3Us2dP2NjYYNu2beK+bdu2wdbWFl5eXuI+jUaDxMREdOvWDYaGhvDw8MDWrVsBAL/88gsGDhwIADA1NdUa4R4wYAAUCgVmzZoFc3NzBAYGAqg7/ePXX3/FmDFjYGZmhg4dOsDHxwdHjhwBABQUFGDgwIEwNjaGiYkJvL29cfz48Zb8WoiIdFa71m4AERHVb9KkSVi/fj2Cg4MBAOvWrcPEiRORm5srxiQmJmLDhg1YvXo1nJyc8MMPP2DcuHHo0qULXn75ZWRmZmLkyJEoKiqCiYkJDA0NxWPT09Mxbdo0qFSqeuuvrKyEv78/rK2t8c0338DS0hJ5eXnQaDQAgODgYHh5eSElJQX6+vrIz8/HM88803JfCBGRDmNSTUSko8aNG4fo6GhcvHgRAKBSqZCRkSEm1dXV1Zg/fz727NkDX19fAED37t1x4MABrFmzBv7+/jAzMwMAdO3aFZ06ddI6v5OTExYuXNhg/Rs3bsS1a9dw7Ngx8TyOjo5iuVqtxkcffQQXFxfxfERETysm1UREOqpLly4YPnw40tLSIAgChg8fDnNzc7H83LlzuHfvHgYNGqR1XE1NjdYUkYZ4e3s/tDw/Px9eXl5iQv2/IiIiMHnyZHz99dcICAjAO++8AwcHhyZcGRFR28OkmohIh02aNAkKhQIAsHLlSq2yyspKAMDOnTthbW2tVdaUlw07dOjw0PI/TxWpT1xcHMaOHYudO3fiX//6F5RKJTIyMvDmm282WjcRUVvDFxWJiHTYkCFDUFNTgwcPHogvE/6uR48ekMvlUKvVcHR01PrY2NgAAAwMDAAAtbW1za7b3d0d+fn5uHnzZoMxzs7OmD17Nnbv3o233noL69evb3Y9RERtAZNqIiIdpq+vj8LCQpw+fRr6+vpaZcbGxvjwww8xe/ZspKeno6SkBHl5eVixYgXS09MBAHZ2dpDJZNixYweuXbsmjm43xZgxY2BpaYkRI0ZApVLh/PnzyMzMxKFDh1BVVQWFQoHc3FxcvHgRKpUKx44dg6ur6yO9fiKiJwWTaiIiHWdiYgITE5N6y+Lj4xETE4PExES4urpiyJAh2LlzJ7p16wYAsLa2xieffII5c+bAwsJCnErSFAYGBti9eze6du2KYcOGwc3NDUlJSdDX14e+vj5u3LiBkJAQODs7Y9SoURg6dCg++eSTR3LNRERPGpkgCEJrN4KIiIiI6EnGkWoiIiIiIomYVBMRERERScSkmoiIiIhIIibVREREREQSMakmIiIiIpKISTURERERkURMqomIiIiIJGJSTUREREQkEZNqIiIiIiKJmFQTEREREUnEpJqIiIiISKL/B4uIWr7c8GXuAAAAAElFTkSuQmCC",
|
|
"text/plain": [
|
|
"<Figure size 800x600 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import pandas as pd\n",
|
|
"import seaborn as sns\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"from sklearn.metrics import classification_report\n",
|
|
"\n",
|
|
"# Mendapatkan classification report dalam bentuk dictionary\n",
|
|
"report = classification_report(y_test, y_pred, output_dict=True)\n",
|
|
"\n",
|
|
"# Mengonversi ke DataFrame untuk visualisasi\n",
|
|
"df_report = pd.DataFrame(report).T\n",
|
|
"\n",
|
|
"# Menghapus support karena bukan metrik evaluasi\n",
|
|
"df_report = df_report.drop(columns=['support'])\n",
|
|
"\n",
|
|
"# Membuat heatmap\n",
|
|
"plt.figure(figsize=(8, 6))\n",
|
|
"sns.heatmap(df_report, annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)\n",
|
|
"plt.title(\"Classification Report Heatmap\")\n",
|
|
"plt.ylabel(\"Classes & Averages\")\n",
|
|
"plt.xlabel(\"Metrics\")\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 800x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"import numpy as np\n",
|
|
"import pandas as pd\n",
|
|
"import joblib\n",
|
|
"\n",
|
|
"# # Muat data uji\n",
|
|
"# X_test = pd.read_csv('HASIL-RISET/X_test.csv')\n",
|
|
"\n",
|
|
"# # Muat model dari file joblib\n",
|
|
"# nb_model = joblib.load('HASIL-RISET/knn_model.pkl')\n",
|
|
"\n",
|
|
"# Lakukan prediksi pada data uji\n",
|
|
"y_pred = knn_model.predict(X_test)\n",
|
|
"\n",
|
|
"# Ekspor hasil prediksi ke file CSV\n",
|
|
"predictions_df = pd.DataFrame(y_pred, columns=['predicted_label'])\n",
|
|
"predictions_df.to_csv('HASIL-RISET/predidct_KNN.csv', index=False)\n",
|
|
"\n",
|
|
"# Hitung jumlah prediksi untuk setiap kelas\n",
|
|
"unique, counts = np.unique(y_pred, return_counts=True)\n",
|
|
"sentiment_counts = dict(zip(unique, counts))\n",
|
|
"\n",
|
|
"# Buat pie chart\n",
|
|
"labels = sentiment_counts.keys()\n",
|
|
"sizes = sentiment_counts.values()\n",
|
|
"colors = ['red', 'blue', 'green']\n",
|
|
"# explode = (0.1, 0, 0) # Hanya meledakkan bagian pertama (Negatif)\n",
|
|
"\n",
|
|
"plt.figure(figsize=(8, 8))\n",
|
|
"plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%',\n",
|
|
" shadow=True, startangle=140)\n",
|
|
"plt.title('Distribusi Sentimen pada Data Uji')\n",
|
|
"plt.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure(figsize=(8, 6))\n"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.11.5"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|