k-fold-cross-validation-and-metrics.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import os\nimport PIL\nimport random\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport tensorflow as tf\nfrom PIL import Image\nfrom sklearn.model_selection import KFold\nfrom tensorflow import keras","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:50.642563Z","iopub.execute_input":"2023-04-16T07:28:50.643957Z","iopub.status.idle":"2023-04-16T07:28:53.670813Z","shell.execute_reply.started":"2023-04-16T07:28:50.643915Z","shell.execute_reply":"2023-04-16T07:28:53.669508Z"},"trusted":true},"execution_count":1,"outputs":[]},{"cell_type":"code","source":"# Define the number of folds\nnum_folds = 5\n\n# Define the data directory and batch size\ndata_dir = '/kaggle/input/preprocessed-brain-mri-images/brain-tumor/processed-images'\nbatch_size = 32\nimg_height = 224\nimg_width = 224","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.677583Z","iopub.execute_input":"2023-04-16T07:28:53.678752Z","iopub.status.idle":"2023-04-16T07:28:53.694205Z","shell.execute_reply.started":"2023-04-16T07:28:53.678696Z","shell.execute_reply":"2023-04-16T07:28:53.689843Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"code","source":"# Create a list to store the file paths and labels\ndata = []\nlabels = []\n\n# Iterate over the subdirectories in the data directory\nfor subdir in os.listdir(data_dir):\n    # Get the full path of the subdirectory\n    subdir_path = os.path.join(data_dir, subdir)\n\n    # Check if the subdirectory is a directory\n    if os.path.isdir(subdir_path):\n        # Iterate over the files in the subdirectory\n        for filename in os.listdir(subdir_path):\n            # Get the full path of the file\n            file_path = os.path.join(subdir_path, filename)\n\n            # Check if the file is an image\n            if file_path.endswith('.jpg') or file_path.endswith('.png'):\n                # Add the file path and label to the lists\n                data.append(file_path)\n                labels.append(subdir)","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.701195Z","iopub.execute_input":"2023-04-16T07:28:53.701641Z","iopub.status.idle":"2023-04-16T07:28:53.766376Z","shell.execute_reply.started":"2023-04-16T07:28:53.701592Z","shell.execute_reply":"2023-04-16T07:28:53.765123Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"code","source":"print(len(data))\nprint(len(labels))","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.769848Z","iopub.execute_input":"2023-04-16T07:28:53.770236Z","iopub.status.idle":"2023-04-16T07:28:53.784438Z","shell.execute_reply.started":"2023-04-16T07:28:53.770195Z","shell.execute_reply":"2023-04-16T07:28:53.783705Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stdout","text":"12256\n12256\n","output_type":"stream"}]},{"cell_type":"code","source":"# Create a DataFrame from the lists\ndf = pd.DataFrame({'filename': data, 'class': labels})","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.785812Z","iopub.execute_input":"2023-04-16T07:28:53.786483Z","iopub.status.idle":"2023-04-16T07:28:53.794597Z","shell.execute_reply.started":"2023-04-16T07:28:53.786444Z","shell.execute_reply":"2023-04-16T07:28:53.793584Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"# Create a data generator for loading images in batches\ndatagen = keras.preprocessing.image.ImageDataGenerator()","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.796332Z","iopub.execute_input":"2023-04-16T07:28:53.796755Z","iopub.status.idle":"2023-04-16T07:28:53.804383Z","shell.execute_reply.started":"2023-04-16T07:28:53.796664Z","shell.execute_reply":"2023-04-16T07:28:53.803352Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"# Define the k-fold cross-validator\nkfold = KFold(n_splits=num_folds, shuffle=True)\n\n# Define a list to store the accuracy scores for each fold\nacc_per_fold = []\nmetrics_per_fold = []\n#save the model history in a list after fitting so that we can plot later\ninitial_training_history = []\nfine_tuning_history = [] ","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.806289Z","iopub.execute_input":"2023-04-16T07:28:53.806749Z","iopub.status.idle":"2023-04-16T07:28:53.815467Z","shell.execute_reply.started":"2023-04-16T07:28:53.806711Z","shell.execute_reply":"2023-04-16T07:28:53.814271Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"def initial_training(img_height, img_width, batch_size, datagen, train_df, val_df, initial_training_history):\n    \n    # Load this fold's training and validation data using the data generator\n    train_data = datagen.flow_from_dataframe(\n        train_df,\n        x_col='filename',\n        y_col='class',\n        target_size=(img_height, img_width),\n        batch_size=batch_size,\n        class_mode='categorical'\n    )\n    val_data = datagen.flow_from_dataframe(\n        val_df,\n        x_col='filename',\n        y_col='class',\n        target_size=(img_height, img_width),\n        batch_size=batch_size,\n        class_mode='categorical'\n    )\n    \n    base_model = tf.keras.applications.resnet50.ResNet50(\n        include_top=False,\n        weights='imagenet',\n        input_shape=(img_height, img_width,3)\n    )\n    base_model.trainable = False\n    \n    image_batch, label_batch = next(iter(train_data))\n    feature_batch = base_model(image_batch)\n    \n    global_average_layer = tf.keras.layers.GlobalAveragePooling2D()\n    feature_batch_average = global_average_layer(feature_batch)\n    \n    prediction_layer = keras.Sequential( [\n        tf.keras.layers.Dense(128),\n        tf.keras.layers.Dropout(0.2),\n        tf.keras.layers.Dense(3)\n    ])\n    prediction_batch = prediction_layer(feature_batch_average)\n    \n    preprocess_input = tf.keras.applications.resnet50.preprocess_input\n    \n    # add classifier head or top\n    inputs = tf.keras.Input(shape=(img_height, img_width,3) )\n    x = preprocess_input(inputs)\n    x = base_model(x, training=False)\n    x = global_average_layer(x)\n    x = tf.keras.layers.Dropout(0.3)(x)\n    outputs = prediction_layer(x)\n    model = tf.keras.Model(inputs, outputs)\n    \n    base_learning_rate = 0.0001\n    model.compile(optimizer=tf.keras.optimizers.experimental.Adam(learning_rate=base_learning_rate),\n                  loss=tf.keras.losses.CategoricalCrossentropy(from_logits=True),\n                  metrics=['accuracy'])\n    \n    initial_epochs = 7\n    history = model.fit(train_data,\n                        epochs=initial_epochs,\n                        validation_data=val_data)\n    initial_training_history.append(history)\n    return model","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.817282Z","iopub.execute_input":"2023-04-16T07:28:53.817757Z","iopub.status.idle":"2023-04-16T07:28:53.832598Z","shell.execute_reply.started":"2023-04-16T07:28:53.817711Z","shell.execute_reply":"2023-04-16T07:28:53.831446Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"def create_model(model):\n    base_model = model.get_layer(index=3)\n    base_model.trainable = True\n    # Fine-tune from this layer onwards\n    fine_tune_at = 100\n\n    # Freeze all the layers before the `fine_tune_at` layer\n    for layer in base_model.layers[:fine_tune_at]:\n      layer.trainable = False\n    base_learning_rate= 0.0001\n    model.compile(loss=tf.keras.losses.CategoricalCrossentropy(from_logits=True),\n                  optimizer = tf.keras.optimizers.Adam(learning_rate=base_learning_rate/10),\n                  metrics=['accuracy'])\n    return model","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.835952Z","iopub.execute_input":"2023-04-16T07:28:53.836238Z","iopub.status.idle":"2023-04-16T07:28:53.847606Z","shell.execute_reply.started":"2023-04-16T07:28:53.836211Z","shell.execute_reply":"2023-04-16T07:28:53.846512Z"},"trusted":true},"execution_count":9,"outputs":[]},{"cell_type":"code","source":"def fine_tuning(img_height, img_width, batch_size, datagen, train_df, val_df, model, fine_tuning_history, acc_per_fold):\n    # Load this fold's training and validation data using the data generator\n    fine_tuning_epoch = 12\n    \n    train_data = datagen.flow_from_dataframe(\n        train_df,\n        x_col='filename',\n        y_col='class',\n        target_size=(img_height, img_width),\n        batch_size=batch_size,\n        class_mode='categorical'\n    )\n    val_data = datagen.flow_from_dataframe(\n        val_df,\n        x_col='filename',\n        y_col='class',\n        target_size=(img_height, img_width),\n        batch_size=batch_size,\n        class_mode='categorical'\n    )\n    \n    fine_tuning_model = create_model(model)\n    \n    # Train the model on this fold's training data and evaluate on validation data\n    history = fine_tuning_model.fit(train_data, validation_data=val_data, epochs=fine_tuning_epoch)\n    fine_tuning_history.append(history)\n    \n    # Evaluate the model on this fold's validation data\n    scores = fine_tuning_model.evaluate(val_data)\n    acc_per_fold.append(scores[1])\n    return fine_tuning_model","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.852631Z","iopub.execute_input":"2023-04-16T07:28:53.853568Z","iopub.status.idle":"2023-04-16T07:28:53.861759Z","shell.execute_reply.started":"2023-04-16T07:28:53.853530Z","shell.execute_reply":"2023-04-16T07:28:53.860766Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import (accuracy_score, f1_score, precision_score,\n                             recall_score, roc_auc_score,\n                             matthews_corrcoef, log_loss, classification_report, \n                             confusion_matrix, cohen_kappa_score,\n                             jaccard_score, hamming_loss,\n                             balanced_accuracy_score)\n\ndef calculate_metrics(y_true, y_prob, y_pred):\n    metrics = {}\n    metrics['accuracy'] = accuracy_score(y_true, y_pred)\n    target_names = ['class 1', 'class 2', 'class 3']\n    metrics['classification_report'] = classification_report(y_true, y_pred, target_names=target_names)\n    metrics['f1_weighted'] = f1_score(y_true, y_pred, average='weighted')\n    metrics['f1_macro'] = f1_score(y_true, y_pred, average='macro')\n    metrics['f1_micro'] = f1_score(y_true, y_pred, average='micro')\n    metrics['precision_weighted'] = precision_score(y_true, y_pred, average='weighted')\n    metrics['precision_macro'] = precision_score(y_true, y_pred, average='macro')\n    metrics['precision_micro'] = precision_score(y_true, y_pred, average='micro')\n    metrics['recall_weighted'] = recall_score(y_true, y_pred, average='weighted')\n    metrics['recall_macro'] = recall_score(y_true, y_pred, average='macro')\n    metrics['recall_micro'] = recall_score(y_true, y_pred, average='micro')\n    metrics['roc_auc_ovr_macro'] = roc_auc_score(y_true, y_prob, multi_class='ovr', average='macro')\n    metrics['roc_auc_ovr_weighted'] = roc_auc_score(y_true, y_prob, multi_class='ovr', average='weighted')\n    metrics['roc_auc_ovo_macro'] = roc_auc_score(y_true, y_prob, multi_class='ovo', average='macro')\n    metrics['roc_auc_ovo_weighted'] = roc_auc_score(y_true, y_prob, multi_class='ovo', average='weighted')\n    metrics['matthews_corrcoef'] = matthews_corrcoef(y_true, y_pred)\n    metrics['log_loss'] = log_loss(y_true, y_prob)\n    metrics['confusion_matrix'] = confusion_matrix(y_true, y_pred)\n    metrics['cohen_kappa'] = cohen_kappa_score(y_true,y_pred)\n    metrics['jaccard_weighted'] = jaccard_score(y_true,y_pred ,average='weighted')\n    metrics['jaccard_macro'] = jaccard_score(y_true,y_pred ,average='macro')\n    metrics['jaccard_micro'] = jaccard_score(y_true,y_pred ,average='micro')\n    metrics['hamming_loss'] = hamming_loss(y_true,y_pred)\n    metrics['balanced_accuracy'] = balanced_accuracy_score(y_true,y_pred)\n    \n    return metrics","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.863438Z","iopub.execute_input":"2023-04-16T07:28:53.863832Z","iopub.status.idle":"2023-04-16T07:28:53.878066Z","shell.execute_reply.started":"2023-04-16T07:28:53.863793Z","shell.execute_reply":"2023-04-16T07:28:53.877038Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"def prediction_and_analysis(img_height, img_width, batch_size, datagen, val_df, fine_tuned_model):\n    val_data = datagen.flow_from_dataframe(\n        val_df,\n        x_col='filename',\n        y_col='class',\n        target_size=(img_height, img_width),\n        batch_size=batch_size,\n        class_mode='categorical'\n    )   \n    y_true = []\n    y_prob = []\n    y_pred = []\n    for i in range(val_data.samples // batch_size):\n        X_val_batch, y_val_batch = next(val_data)\n        y_true.append(y_val_batch)\n        logits = fine_tuned_model.predict(X_val_batch)\n        y_prob_batch = tf.nn.softmax(logits)\n        y_prob.append(y_prob_batch)\n        y_pred_batch = tf.argmax(y_prob_batch, axis=-1)\n        y_pred.append(y_pred_batch)\n\n    if val_data.samples % batch_size != 0:\n        X_val_batch, y_val_batch = next(val_data)\n        y_true.append(y_val_batch[:val_data.samples % batch_size])\n        logits = fine_tuned_model.predict(X_val_batch[:val_data.samples % batch_size])\n        y_prob_batch = tf.nn.softmax(logits)\n        y_prob.append(y_prob_batch)\n        y_pred_batch = tf.argmax(y_prob_batch, axis=-1)\n        y_pred.append(y_pred_batch)\n\n    y_true = np.concatenate(y_true)\n    y_prob = np.concatenate(y_prob)\n    y_pred = np.concatenate(y_pred)\n    y_true = np.argmax(y_true, axis=-1)\n    \n    return  calculate_metrics(y_true, y_prob, y_pred)\n    ","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.879437Z","iopub.execute_input":"2023-04-16T07:28:53.879902Z","iopub.status.idle":"2023-04-16T07:28:53.892032Z","shell.execute_reply.started":"2023-04-16T07:28:53.879864Z","shell.execute_reply":"2023-04-16T07:28:53.890903Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"fold = 1\nstop_at_fold = num_folds\nfor train_index, test_index in kfold.split(df):\n    # Print the fold number\n    print(f'Fold {fold}/{num_folds}')\n\n    # Get the training and validation data\n    train_df = df.iloc[train_index]\n    val_df = df.iloc[test_index]\n    \n    \n    # Create a new instance of the model and train it\n    model = initial_training(img_height, img_width, batch_size, datagen, train_df, val_df, initial_training_history)\n    \n    # Fine tuning\n    fine_tuned_model = fine_tuning(img_height, img_width, batch_size, datagen, train_df, val_df, model, fine_tuning_history, acc_per_fold)\n    \n    # Prediction, analysis and metrics\n    metrics = prediction_and_analysis(img_height, img_width, batch_size, datagen, val_df, fine_tuned_model)\n    metrics_per_fold.append(metrics)\n    if(fold == stop_at_fold):\n        break\n        \n    fold += 1\n    ","metadata":{"execution":{"iopub.status.busy":"2023-04-16T07:28:53.893283Z","iopub.execute_input":"2023-04-16T07:28:53.893932Z","iopub.status.idle":"2023-04-16T08:30:37.025182Z","shell.execute_reply.started":"2023-04-16T07:28:53.893868Z","shell.execute_reply":"2023-04-16T08:30:37.024152Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"Fold 1/5\nFound 9804 validated image filenames belonging to 3 classes.\nFound 2452 validated image filenames belonging to 3 classes.\nEpoch 1/7\n307/307 [==============================] - 36s 104ms/step - loss: 0.7469 - accuracy: 0.7075 - val_loss: 0.3533 - val_accuracy: 0.8662\nEpoch 2/7\n307/307 [==============================] - 33s 108ms/step - loss: 0.4653 - accuracy: 0.8193 - val_loss: 0.3068 - val_accuracy: 0.8809\nEpoch 3/7\n307/307 [==============================] - 32s 104ms/step - loss: 0.4016 - accuracy: 0.8390 - val_loss: 0.2943 - val_accuracy: 0.8903\nEpoch 4/7\n307/307 [==============================] - 31s 100ms/step - loss: 0.3691 - accuracy: 0.8498 - val_loss: 0.2757 - val_accuracy: 0.8976\nEpoch 5/7\n307/307 [==============================] - 31s 101ms/step - loss: 0.3370 - accuracy: 0.8671 - val_loss: 0.2633 - val_accuracy: 0.8895\nEpoch 6/7\n307/307 [==============================] - 30s 98ms/step - loss: 0.3420 - accuracy: 0.8620 - val_loss: 0.2616 - val_accuracy: 0.8989\nEpoch 7/7\n307/307 [==============================] - 34s 109ms/step - loss: 0.3234 - accuracy: 0.8714 - val_loss: 0.2561 - val_accuracy: 0.8997\nFound 9804 validated image filenames belonging to 3 classes.\nFound 2452 validated image filenames belonging to 3 classes.\nEpoch 1/12\n307/307 [==============================] - 56s 132ms/step - loss: 0.2490 - accuracy: 0.9040 - val_loss: 0.1646 - val_accuracy: 0.9339\nEpoch 2/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.1165 - accuracy: 0.9547 - val_loss: 0.1334 - val_accuracy: 0.9474\nEpoch 3/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0500 - accuracy: 0.9822 - val_loss: 0.1010 - val_accuracy: 0.9621\nEpoch 4/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0241 - accuracy: 0.9911 - val_loss: 0.1364 - val_accuracy: 0.9568\nEpoch 5/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0113 - accuracy: 0.9965 - val_loss: 0.1552 - val_accuracy: 0.9543\nEpoch 6/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0093 - accuracy: 0.9977 - val_loss: 0.0987 - val_accuracy: 0.9682\nEpoch 7/12\n307/307 [==============================] - 40s 129ms/step - loss: 0.0089 - accuracy: 0.9969 - val_loss: 0.1389 - val_accuracy: 0.9625\nEpoch 8/12\n307/307 [==============================] - 38s 124ms/step - loss: 0.0092 - accuracy: 0.9968 - val_loss: 0.1440 - val_accuracy: 0.9596\nEpoch 9/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0155 - accuracy: 0.9951 - val_loss: 0.1232 - val_accuracy: 0.9641\nEpoch 10/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0021 - accuracy: 0.9994 - val_loss: 0.1773 - val_accuracy: 0.9560\nEpoch 11/12\n307/307 [==============================] - 39s 125ms/step - loss: 0.0049 - accuracy: 0.9985 - val_loss: 0.1015 - val_accuracy: 0.9719\nEpoch 12/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0067 - accuracy: 0.9978 - val_loss: 0.1270 - val_accuracy: 0.9637\n77/77 [==============================] - 6s 78ms/step - loss: 0.1270 - accuracy: 0.9637\nFound 2452 validated image filenames belonging to 3 classes.\n1/1 [==============================] - 1s 1s/step\n1/1 [==============================] - 0s 45ms/step\n1/1 [==============================] - 0s 47ms/step\n1/1 [==============================] - 0s 48ms/step\n1/1 [==============================] - 0s 40ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 38ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 38ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 1s 982ms/step\nFold 2/5\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/7\n307/307 [==============================] - 37s 107ms/step - loss: 0.7204 - accuracy: 0.7138 - val_loss: 0.4048 - val_accuracy: 0.8380\nEpoch 2/7\n307/307 [==============================] - 32s 102ms/step - loss: 0.4373 - accuracy: 0.8228 - val_loss: 0.3320 - val_accuracy: 0.8678\nEpoch 3/7\n307/307 [==============================] - 31s 100ms/step - loss: 0.3837 - accuracy: 0.8477 - val_loss: 0.3392 - val_accuracy: 0.8645\nEpoch 4/7\n307/307 [==============================] - 31s 101ms/step - loss: 0.3681 - accuracy: 0.8522 - val_loss: 0.2990 - val_accuracy: 0.8800\nEpoch 5/7\n307/307 [==============================] - 32s 104ms/step - loss: 0.3461 - accuracy: 0.8631 - val_loss: 0.2791 - val_accuracy: 0.8894\nEpoch 6/7\n307/307 [==============================] - 32s 103ms/step - loss: 0.3322 - accuracy: 0.8689 - val_loss: 0.3036 - val_accuracy: 0.8760\nEpoch 7/7\n307/307 [==============================] - 32s 104ms/step - loss: 0.3070 - accuracy: 0.8751 - val_loss: 0.2701 - val_accuracy: 0.8923\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/12\n307/307 [==============================] - 54s 128ms/step - loss: 0.2377 - accuracy: 0.9049 - val_loss: 0.1633 - val_accuracy: 0.9372\nEpoch 2/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.1076 - accuracy: 0.9579 - val_loss: 0.1345 - val_accuracy: 0.9519\nEpoch 3/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0462 - accuracy: 0.9831 - val_loss: 0.1512 - val_accuracy: 0.9519\nEpoch 4/12\n307/307 [==============================] - 43s 140ms/step - loss: 0.0223 - accuracy: 0.9921 - val_loss: 0.1467 - val_accuracy: 0.9482\nEpoch 5/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0142 - accuracy: 0.9953 - val_loss: 0.1267 - val_accuracy: 0.9612\nEpoch 6/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0130 - accuracy: 0.9957 - val_loss: 0.1845 - val_accuracy: 0.9482\nEpoch 7/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0102 - accuracy: 0.9966 - val_loss: 0.1123 - val_accuracy: 0.9674\nEpoch 8/12\n307/307 [==============================] - 38s 124ms/step - loss: 0.0068 - accuracy: 0.9986 - val_loss: 0.1298 - val_accuracy: 0.9670\nEpoch 9/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0073 - accuracy: 0.9982 - val_loss: 0.1564 - val_accuracy: 0.9600\nEpoch 10/12\n307/307 [==============================] - 39s 125ms/step - loss: 0.0061 - accuracy: 0.9975 - val_loss: 0.1370 - val_accuracy: 0.9629\nEpoch 11/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0065 - accuracy: 0.9977 - val_loss: 0.1142 - val_accuracy: 0.9710\nEpoch 12/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0012 - accuracy: 0.9996 - val_loss: 0.1183 - val_accuracy: 0.9751\n77/77 [==============================] - 6s 77ms/step - loss: 0.1183 - accuracy: 0.9751\nFound 2451 validated image filenames belonging to 3 classes.\n1/1 [==============================] - 1s 912ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 63ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 38ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 73ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 47ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 1s 1s/step\nFold 3/5\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/7\n307/307 [==============================] - 36s 105ms/step - loss: 0.7073 - accuracy: 0.7199 - val_loss: 0.4485 - val_accuracy: 0.8176\nEpoch 2/7\n307/307 [==============================] - 32s 104ms/step - loss: 0.4377 - accuracy: 0.8251 - val_loss: 0.3123 - val_accuracy: 0.8788\nEpoch 3/7\n307/307 [==============================] - 32s 104ms/step - loss: 0.3924 - accuracy: 0.8476 - val_loss: 0.2866 - val_accuracy: 0.8923\nEpoch 4/7\n307/307 [==============================] - 31s 102ms/step - loss: 0.3581 - accuracy: 0.8563 - val_loss: 0.2763 - val_accuracy: 0.8964\nEpoch 5/7\n307/307 [==============================] - 34s 109ms/step - loss: 0.3387 - accuracy: 0.8639 - val_loss: 0.2609 - val_accuracy: 0.8968\nEpoch 6/7\n307/307 [==============================] - 30s 98ms/step - loss: 0.3238 - accuracy: 0.8729 - val_loss: 0.2747 - val_accuracy: 0.8907\nEpoch 7/7\n307/307 [==============================] - 30s 99ms/step - loss: 0.3213 - accuracy: 0.8731 - val_loss: 0.2550 - val_accuracy: 0.9025\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/12\n307/307 [==============================] - 54s 129ms/step - loss: 0.2418 - accuracy: 0.9055 - val_loss: 0.1421 - val_accuracy: 0.9417\nEpoch 2/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.1043 - accuracy: 0.9590 - val_loss: 0.1088 - val_accuracy: 0.9584\nEpoch 3/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0504 - accuracy: 0.9819 - val_loss: 0.0879 - val_accuracy: 0.9686\nEpoch 4/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0279 - accuracy: 0.9895 - val_loss: 0.1227 - val_accuracy: 0.9580\nEpoch 5/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0152 - accuracy: 0.9953 - val_loss: 0.1006 - val_accuracy: 0.9678\nEpoch 6/12\n307/307 [==============================] - 40s 128ms/step - loss: 0.0147 - accuracy: 0.9937 - val_loss: 0.1195 - val_accuracy: 0.9682\nEpoch 7/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0130 - accuracy: 0.9956 - val_loss: 0.0952 - val_accuracy: 0.9747\nEpoch 8/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0016 - accuracy: 0.9998 - val_loss: 0.1106 - val_accuracy: 0.9714\nEpoch 9/12\n307/307 [==============================] - 38s 124ms/step - loss: 0.0035 - accuracy: 0.9989 - val_loss: 0.1085 - val_accuracy: 0.9718\nEpoch 10/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0056 - accuracy: 0.9984 - val_loss: 0.1293 - val_accuracy: 0.9645\nEpoch 11/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0077 - accuracy: 0.9975 - val_loss: 0.1655 - val_accuracy: 0.9604\nEpoch 12/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0088 - accuracy: 0.9976 - val_loss: 0.1428 - val_accuracy: 0.9657\n77/77 [==============================] - 6s 78ms/step - loss: 0.1428 - accuracy: 0.9657\nFound 2451 validated image filenames belonging to 3 classes.\n1/1 [==============================] - 1s 929ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 52ms/step\n1/1 [==============================] - 0s 46ms/step\n1/1 [==============================] - 0s 51ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 67ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 39ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 32ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 45ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 42ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 1s 970ms/step\nFold 4/5\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/7\n307/307 [==============================] - 36s 105ms/step - loss: 0.7309 - accuracy: 0.7152 - val_loss: 0.3860 - val_accuracy: 0.8421\nEpoch 2/7\n307/307 [==============================] - 32s 104ms/step - loss: 0.4545 - accuracy: 0.8224 - val_loss: 0.3272 - val_accuracy: 0.8658\nEpoch 3/7\n307/307 [==============================] - 32s 103ms/step - loss: 0.3952 - accuracy: 0.8455 - val_loss: 0.2959 - val_accuracy: 0.8756\nEpoch 4/7\n307/307 [==============================] - 30s 98ms/step - loss: 0.3688 - accuracy: 0.8518 - val_loss: 0.2771 - val_accuracy: 0.8829\nEpoch 5/7\n307/307 [==============================] - 32s 105ms/step - loss: 0.3438 - accuracy: 0.8693 - val_loss: 0.2676 - val_accuracy: 0.8878\nEpoch 6/7\n307/307 [==============================] - 30s 99ms/step - loss: 0.3222 - accuracy: 0.8751 - val_loss: 0.2608 - val_accuracy: 0.8968\nEpoch 7/7\n307/307 [==============================] - 32s 103ms/step - loss: 0.3172 - accuracy: 0.8743 - val_loss: 0.2687 - val_accuracy: 0.8894\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/12\n307/307 [==============================] - 55s 130ms/step - loss: 0.2309 - accuracy: 0.9094 - val_loss: 0.1838 - val_accuracy: 0.9262\nEpoch 2/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.1078 - accuracy: 0.9601 - val_loss: 0.1394 - val_accuracy: 0.9429\nEpoch 3/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0455 - accuracy: 0.9833 - val_loss: 0.1583 - val_accuracy: 0.9502\nEpoch 4/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0221 - accuracy: 0.9930 - val_loss: 0.1207 - val_accuracy: 0.9580\nEpoch 5/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0176 - accuracy: 0.9945 - val_loss: 0.1635 - val_accuracy: 0.9523\nEpoch 6/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0096 - accuracy: 0.9968 - val_loss: 0.1389 - val_accuracy: 0.9576\nEpoch 7/12\n307/307 [==============================] - 39s 125ms/step - loss: 0.0096 - accuracy: 0.9968 - val_loss: 0.1186 - val_accuracy: 0.9641\nEpoch 8/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0113 - accuracy: 0.9962 - val_loss: 0.1295 - val_accuracy: 0.9674\nEpoch 9/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0067 - accuracy: 0.9979 - val_loss: 0.1295 - val_accuracy: 0.9653\nEpoch 10/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0011 - accuracy: 0.9999 - val_loss: 0.2107 - val_accuracy: 0.9519\nEpoch 11/12\n307/307 [==============================] - 39s 128ms/step - loss: 0.0025 - accuracy: 0.9994 - val_loss: 0.1489 - val_accuracy: 0.9682\nEpoch 12/12\n307/307 [==============================] - 39s 126ms/step - loss: 3.7540e-04 - accuracy: 1.0000 - val_loss: 0.1508 - val_accuracy: 0.9702\n77/77 [==============================] - 6s 81ms/step - loss: 0.1508 - accuracy: 0.9702\nFound 2451 validated image filenames belonging to 3 classes.\n1/1 [==============================] - 1s 885ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 38ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 42ms/step\n1/1 [==============================] - 0s 32ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 45ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 42ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 46ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 38ms/step\n1/1 [==============================] - 0s 69ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 32ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 37ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 44ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 45ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 32ms/step\n1/1 [==============================] - 1s 897ms/step\nFold 5/5\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/7\n307/307 [==============================] - 36s 105ms/step - loss: 0.7008 - accuracy: 0.7165 - val_loss: 0.3616 - val_accuracy: 0.8572\nEpoch 2/7\n307/307 [==============================] - 30s 99ms/step - loss: 0.4398 - accuracy: 0.8261 - val_loss: 0.3156 - val_accuracy: 0.8735\nEpoch 3/7\n307/307 [==============================] - 31s 102ms/step - loss: 0.3781 - accuracy: 0.8478 - val_loss: 0.3107 - val_accuracy: 0.8800\nEpoch 4/7\n307/307 [==============================] - 30s 98ms/step - loss: 0.3587 - accuracy: 0.8586 - val_loss: 0.2793 - val_accuracy: 0.8886\nEpoch 5/7\n307/307 [==============================] - 32s 102ms/step - loss: 0.3331 - accuracy: 0.8643 - val_loss: 0.2786 - val_accuracy: 0.8882\nEpoch 6/7\n307/307 [==============================] - 30s 99ms/step - loss: 0.3303 - accuracy: 0.8709 - val_loss: 0.2675 - val_accuracy: 0.8911\nEpoch 7/7\n307/307 [==============================] - 32s 103ms/step - loss: 0.3155 - accuracy: 0.8747 - val_loss: 0.2620 - val_accuracy: 0.8951\nFound 9805 validated image filenames belonging to 3 classes.\nFound 2451 validated image filenames belonging to 3 classes.\nEpoch 1/12\n307/307 [==============================] - 55s 129ms/step - loss: 0.2336 - accuracy: 0.9092 - val_loss: 0.1803 - val_accuracy: 0.9282\nEpoch 2/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.1068 - accuracy: 0.9587 - val_loss: 0.1481 - val_accuracy: 0.9433\nEpoch 3/12\n307/307 [==============================] - 43s 140ms/step - loss: 0.0454 - accuracy: 0.9839 - val_loss: 0.1605 - val_accuracy: 0.9482\nEpoch 4/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0267 - accuracy: 0.9911 - val_loss: 0.1465 - val_accuracy: 0.9514\nEpoch 5/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0136 - accuracy: 0.9955 - val_loss: 0.1257 - val_accuracy: 0.9629\nEpoch 6/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0104 - accuracy: 0.9965 - val_loss: 0.1386 - val_accuracy: 0.9608\nEpoch 7/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0092 - accuracy: 0.9970 - val_loss: 0.1193 - val_accuracy: 0.9629\nEpoch 8/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0032 - accuracy: 0.9993 - val_loss: 0.2106 - val_accuracy: 0.9531\nEpoch 9/12\n307/307 [==============================] - 38s 125ms/step - loss: 0.0098 - accuracy: 0.9968 - val_loss: 0.1061 - val_accuracy: 0.9702\nEpoch 10/12\n307/307 [==============================] - 39s 127ms/step - loss: 0.0087 - accuracy: 0.9966 - val_loss: 0.1381 - val_accuracy: 0.9563\nEpoch 11/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0053 - accuracy: 0.9987 - val_loss: 0.2646 - val_accuracy: 0.9380\nEpoch 12/12\n307/307 [==============================] - 39s 126ms/step - loss: 0.0098 - accuracy: 0.9972 - val_loss: 0.1291 - val_accuracy: 0.9674\n77/77 [==============================] - 6s 81ms/step - loss: 0.1291 - accuracy: 0.9674\nFound 2451 validated image filenames belonging to 3 classes.\n1/1 [==============================] - 0s 36ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 45ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 33ms/step\n1/1 [==============================] - 0s 35ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 34ms/step\n1/1 [==============================] - 0s 43ms/step\n1/1 [==============================] - 1s 880ms/step\n","output_type":"stream"}]},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5), sharey=True)\n\n# Plot the initial history on the left subplot\nax1.set_title('Initial Training Accuracies vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Training Fold ' + str(i+1)\n    ax1.plot(initial_training_history[i].history['accuracy'], label=label_name)\nax1.legend()\n\n# Plot the fine-tuning history on the right subplot\nax2.set_title('Fine-tuning Training Accuracies vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Training Fold ' + str(i+1)\n    ax2.plot(fine_tuning_history[i].history['accuracy'], label=label_name)\nax2.legend()\n\nplt.subplots_adjust(wspace=0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:37.027474Z","iopub.execute_input":"2023-04-16T08:30:37.028244Z","iopub.status.idle":"2023-04-16T08:30:37.401999Z","shell.execute_reply.started":"2023-04-16T08:30:37.028201Z","shell.execute_reply":"2023-04-16T08:30:37.400809Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x500 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5), sharey=True)\n\n# Plot the initial history on the left subplot\nax1.set_title('Initial Training Accuracies vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Training Fold ' + str(i+1)\n    ax1.plot(initial_training_history[i].history['val_accuracy'], label=label_name)\nax1.legend()\n\n# Plot the fine-tuning history on the right subplot\nax2.set_title('Fine-tuning Training Accuracies vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Training Fold ' + str(i+1)\n    ax2.plot(fine_tuning_history[i].history['val_accuracy'], label=label_name)\nax2.legend()\n\nplt.subplots_adjust(wspace=0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:37.403120Z","iopub.execute_input":"2023-04-16T08:30:37.403538Z","iopub.status.idle":"2023-04-16T08:30:37.771328Z","shell.execute_reply.started":"2023-04-16T08:30:37.403497Z","shell.execute_reply":"2023-04-16T08:30:37.770284Z"},"trusted":true},"execution_count":15,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x500 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5), sharey=True)\n\n# Plot the initial history on the left subplot\nax1.set_title('Initial Training Accuracy vs Validation Accuracy')\ntrain_label = '' \nval_label = ''\ncolors = ['blue', 'green', 'yellow', 'orange', 'red', 'black']\nfor i in range(min(fold, num_folds)):\n    train_label = 'Training Accuracy Fold ' + str(i+1)\n    val_label = 'Validation Accuracy Fold ' + str(i+1)\n    ax1.plot(initial_training_history[i].history['accuracy'], label=train_label, color=colors[i])\n    ax1.plot(initial_training_history[i].history['val_accuracy'], label=val_label, color=colors[i], linestyle = \"dashdot\")\nax1.legend()\n\n# Plot the fine-tuning history on the right subplot\nax2.set_title('Fine-tuning Training Accuracy vs Validation Accuracy')\ntrain_label = '' \nval_label = ''\ncolors = ['blue', 'green', 'yellow', 'orange', 'red', 'black']\nfor i in range(min(fold, num_folds)):\n    train_label = 'Training Accuracy Fold ' + str(i+1)\n    val_label = 'Validation Accuracy Fold ' + str(i+1)\n    ax2.plot(fine_tuning_history[i].history['accuracy'], label=train_label, color=colors[i])\n    ax2.plot(fine_tuning_history[i].history['val_accuracy'], label=val_label, color=colors[i], linestyle = \"dashdot\")\nax2.legend()\n\nplt.subplots_adjust(wspace=0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:37.772800Z","iopub.execute_input":"2023-04-16T08:30:37.773888Z","iopub.status.idle":"2023-04-16T08:30:38.236171Z","shell.execute_reply.started":"2023-04-16T08:30:37.773846Z","shell.execute_reply":"2023-04-16T08:30:38.235143Z"},"trusted":true},"execution_count":16,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x500 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5), sharey=True)\n\n# Plot the initial history on the left subplot\nax1.set_title('Initial Training Losses vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Training Fold ' + str(i+1)\n    ax1.plot(initial_training_history[i].history['loss'], label=label_name)\nax1.legend()\n\n# Plot the fine-tuning history on the right subplot\nax2.set_title('Fine-tuning Training Losses vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Training Fold ' + str(i+1)\n    ax2.plot(fine_tuning_history[i].history['loss'], label=label_name)\nax2.legend()\n\nplt.subplots_adjust(wspace=0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:38.237710Z","iopub.execute_input":"2023-04-16T08:30:38.238402Z","iopub.status.idle":"2023-04-16T08:30:38.588723Z","shell.execute_reply.started":"2023-04-16T08:30:38.238360Z","shell.execute_reply":"2023-04-16T08:30:38.587738Z"},"trusted":true},"execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x500 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5), sharey=True)\n\n# Plot the initial history on the left subplot\nax1.set_title('Initial Validation Losses vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Validation Fold ' + str(i+1)\n    ax1.plot(initial_training_history[i].history['val_loss'], label=label_name)\nax1.legend()\n\n# Plot the fine-tuning history on the right subplot\nax2.set_title('Fine-tuning Validation Losses vs Epochs')\nlabel_name = ''\nfor i in range(min(fold, num_folds)):\n    label_name = 'Validation Fold ' + str(i+1)\n    ax2.plot(fine_tuning_history[i].history['val_loss'], label=label_name)\nax2.legend()\n\nplt.subplots_adjust(wspace=0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:38.590095Z","iopub.execute_input":"2023-04-16T08:30:38.591258Z","iopub.status.idle":"2023-04-16T08:30:38.949251Z","shell.execute_reply.started":"2023-04-16T08:30:38.591217Z","shell.execute_reply":"2023-04-16T08:30:38.948259Z"},"trusted":true},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x500 with 2 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAA0MAAAHBCAYAAACrJ2AVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeVhU1f/A8ffMsO+ICCibuCG4r6m5U+65lbgiiku5pGY/za20MrMyqdy+LYqaC2lpZeWamuYSqbiBpoSigisKIjtzf3+MTI7DLorL5/U88+jcOfecc2cu98xnzrnnqBRFURBCCCGEEEKIZ4y6rCsghBBCCCGEEGVBgiEhhBBCCCHEM0mCISGEEEIIIcQzSYIhIYQQQgghxDNJgiEhhBBCCCHEM0mCISGEEEIIIcQzSYIhIYQQQgghxDNJgiEhhBBCCCHEM0mCISGEEEIIIcQzSYKhx1hYWBgqlYq///67RPurVCpmzpypfx4VFcXMmTM5d+6cUdrg4GC8vb1LVE5h+2ZlZeHi4sJzzz2XbxqtVounpyd16tQpcrm7du1CpVKxa9cu/baZM2eiUqmKtL+3tzfBwcFFLi9XamoqM2fONCg3V+5nltd7/LC1adOGWrVqPfJyn2YqlSrfR0nOndImn/njJffvP6/Hm2++yblz51CpVISFhZVJ/X799VeDNuFhK+k19kEcPXoUlUrFW2+9lW+aM2fOoFKpeP3114ucb15tS5s2bWjTpk2h+z7I5/6w2u0HpVKpGDNmTJmU/TTK/T6T36Osrhn3epo/c5OyroB4ePbv34+7u7v+eVRUFLNmzaJNmzZGF9AZM2Ywbty4h1IPU1NTBg0axLx584iKisLPz88ozfbt27lw4QITJ058oLKGDRtGx44dHyiPwqSmpjJr1iwAo4awS5cu7N+/Hzc3t4daB/HovPzyy3mel87OzmVQG/EkWLZsGb6+vgbbKlasiIuLC/v376dKlSplUq9ff/2VhQsXPrKAaMOGDdjZ2T2SsnLVrVuXhg0bsmLFCmbPno1GozFKs2zZMgBCQkIeqKxFixY90P5FUVbttigbH3zwAW3btjXaXlbXjGeFBENPsYJ6Yu73sP/QQkJCmDdvHkuXLuWTTz4xen3p0qWYmZkxcODAByrH3d3dIAB81JydneVL8lOmsF5NIe5Xq1YtGjVqlOdrz9K5VL9+/TIpNyQkhFGjRvHbb7/RtWtXg9dycnJYsWIFDRs2pG7dug9UTl4/7D1K8gX56VOtWrVn6hrxuJBhck+Y4OBgbGxsOHv2LJ07d8bGxgYPDw8mTpxIRkaGQdp7h8mFhYXxyiuvANC2bVujrte8utsXLlxIq1atqFChAtbW1tSuXZuPPvqIrKysYte7Zs2aNGvWjJUrV5KdnW3w2q1bt/jxxx/p3r07Tk5O/P333/Tt2xdvb28sLS3x9vamX79+nD9/vtBy8hrKkJWVxaRJk3B1dcXKyornn3+ev/76y2jfa9euMWrUKPz8/LCxsaFChQq0a9eOPXv26NOcO3dOH+zMmjXLaMhUfsPkli5dSt26dbGwsKBcuXL07NmT6OhogzTF+WxLSqvV8tFHH+Hr64u5uTkVKlQgKCiIixcvGqQ7cuQIXbt2pUKFCpibm1OxYkW6dOlikG7dunU0bdoUe3t7rKys8PHxYejQoQb5JCcn8+abb1K5cmXMzMyoVKkS48eP586dOwbpipLX/erXr0/Lli2Ntufk5FCpUiV69eql37Z48WLq1q2LjY0Ntra2+Pr6MnXq1CK/b4XJ/exOnjxJ+/btsba2xtnZmTFjxpCammqQNj09nSlTphi8J6NHj+bWrVtG+a5evZpmzZphY2ODjY0N9erV45tvvjFKFxERQcuWLfXv3YcffohWq9W/rtVqef/996lRowaWlpY4ODhQp04dPvvss1J7D0Th8houlXvNOnnyJP369cPe3h4XFxeGDh1KUlKSwf6KorBo0SLq1auHpaUljo6OvPzyy/z777+Flh0cHMzChQsBw+Gf586dK3AY1/3DrYtT3/uHyeUOBVqzZg3Tpk2jYsWK2NnZERAQwOnTp42O9YMPPsDLywsLCwsaNWrEtm3bijQ0rX///lhaWup7gO61detWLl26pL++hIeH8+KLL+Lm5oalpSU1a9bkrbfeMrpG5SWvusTHx9OnTx9sbW2xt7cnMDCQy5cvG+1blHauJO12Ua8v3t7edO3alc2bN9OgQQMsLS3x9fVl6dKlhR53USUmJjJq1CgqVaqEmZkZPj4+TJs2zag9K+z6X9Tr15kzZ+jfv7++3apZs6b+nC9uXve6du0aZmZmzJgxw+i1U6dOoVKp+PzzzwHdyJHcNi+3vW/UqBFr1qwp9vuXn9zPbsOGDdSpUwcLCwt8fHz0dbhXXFwcAwcONHhP5s2bZ9A+AGRkZPDuu+9Ss2ZNLCwscHJyom3btuzbt88oz5UrV1KzZk2srKyoW7cumzZtMnj92rVrjBgxAg8PD8zNzXF2dqZFixZs37691N6D0iY9Q0+grKwsXnrpJUJCQpg4cSJ//PEH7733Hvb29rz99tt57tOlSxc++OADpk6dysKFC2nQoAFQ8C9LMTEx9O/fX39RPXr0KLNnz+bUqVMlumCGhIQwbNgwfvnlF7p3767fvnr1atLT0/VDFs6dO0eNGjXo27cv5cqVIyEhgcWLF9O4cWOioqIoX758scodPnw4K1as4M033+SFF17gxIkT9OrVi9u3bxukS0xMBOCdd97B1dWVlJQUNmzYQJs2bdixYwdt2rTBzc2NzZs307FjR/3xQMFDpubMmcPUqVPp168fc+bM4caNG8ycOZNmzZoRERFBtWrV9GlL8tkWx2uvvcaXX37JmDFj6Nq1K+fOnWPGjBns2rWLw4cPU758ee7cucMLL7xA5cqVWbhwIS4uLly+fJmdO3fq37P9+/cTGBhIYGAgM2fOxMLCgvPnz/P777/ry0pNTaV169ZcvHiRqVOnUqdOHU6ePMnbb7/N8ePH2b59OyqVqkh55WXIkCGMGzeOM2fOGLyHW7duJT4+niFDhgCwdu1aRo0axdixY/nkk09Qq9WcPXuWqKioIr1niqIYBfAAGo3GIPDOysqic+fOjBw5krfeeot9+/bx/vvvc/78eX7++Wd9Xj169GDHjh1MmTKFli1bcuzYMd555x3279/P/v37MTc3B+Dtt9/mvffeo1evXkycOBF7e3tOnDhh9KPA5cuXGTBgABMnTuSdd95hw4YNTJkyhYoVKxIUFATARx99xMyZM5k+fTqtWrUiKyuLU6dO5RmAiQeXk5NjdM6YmBTc3Pbu3ZvAwEBCQkI4fvw4U6ZMATC41o4cOZKwsDBef/115s6dS2JiIu+++y7Nmzfn6NGjuLi45Jv/jBkzuHPnDuvXr2f//v367W5ubiQkJBT7GItS3/xMnTqVFi1a8PXXX5OcnMzkyZPp1q0b0dHR+mFt06ZNY86cOYwYMYJevXpx4cIFhg0bRlZWFtWrVy8wf3t7e3r37k14eDjXrl0zuD4vW7YMCwsL+vfvD+i+QHfu3Jnx48djbW3NqVOnmDt3Ln/99Veh16D7paWlERAQQHx8PHPmzKF69er88ssvBAYGGqUtSjtX3Ha7ONcX0N1fNXHiRN566y1cXFz4+uuvCQkJoWrVqrRq1apYx36/9PR02rZtS0xMDLNmzaJOnTrs2bOHOXPmEBkZyS+//AIUrS0pyvUrKiqK5s2b4+npybx583B1dWXLli28/vrrXL9+nXfeeafIed3P2dmZrl27snz5cmbNmoVa/V8/wrJlyzAzM2PAgAEAvPHGG6xcuZL333+f+vXrc+fOHU6cOMGNGzeK9L5ptdo825v7rx+RkZGMHz+emTNn4urqyqpVqxg3bhyZmZm8+eabgC4oad68OZmZmbz33nt4e3uzadMm3nzzTWJiYvTDPLOzs+nUqRN79uxh/PjxtGvXjuzsbA4cOEBcXBzNmzfXl/vLL78QERHBu+++i42NDR999BE9e/bk9OnT+Pj4ADBo0CAOHz7M7NmzqV69Ordu3eLw4cNFfg/KhCIeW8uWLVMAJSIiQr9t8ODBCqB89913Bmk7d+6s1KhRw2AboLzzzjv65+vWrVMAZefOnUZlDR48WPHy8sq3Ljk5OUpWVpayYsUKRaPRKImJiUXeN9ft27cVGxsb5aWXXjLY3rBhQ8XDw0PJycnJc7/s7GwlJSVFsba2Vj777DP99p07dxodzzvvvKPce1pHR0crgDJhwgSDPFetWqUAyuDBg/Otb3Z2tpKVlaW0b99e6dmzp377tWvXjN7bXLmfWWxsrKIoinLz5k3F0tJS6dy5s0G6uLg4xdzcXOnfv79+W3E+27y0bt1a8ff3z/f13Pdi1KhRBtsPHjyoAMrUqVMVRVGUv//+WwGUjRs35pvXJ598ogDKrVu38k0zZ84cRa1WG5y/iqIo69evVwDl119/LXJeebl+/bpiZmamr3euPn36KC4uLkpWVpaiKIoyZswYxcHBoVh55wLyfaxcuVKfLvezu/f8VBRFmT17tgIoe/fuVRRFUTZv3qwAykcffWSQLjw8XAGUL7/8UlEURfn3338VjUajDBgwoMD6tW7dWgGUgwcPGmz38/NTOnTooH/etWtXpV69esV/A0Sx5P795/XIyspSYmNjFUBZtmyZfp/ca9b958SoUaMUCwsLRavVKoqiKPv371cAZd68eQbpLly4oFhaWiqTJk0qtH6jR482uD7myqteue6/1hW1voqiKF5eXgbX2Nxr9v3Xw++++04BlP379yuKoiiJiYmKubm5EhgYaJAu9z1o3bp1oceaW9ann36q33bjxg3F3Nw8378rrVarZGVlKbt371YA5ejRo0bHfa/WrVsb1GXx4sUKoPz4448G6YYPH57v+5srv3auOO12Ua8viqL7bCwsLJTz58/rt6WlpSnlypVTRo4cmW89cwHK6NGj8319yZIlebZnc+fOVQBl69atiqIU7fpflOtXhw4dFHd3dyUpKclg+5gxYxQLCwv9d5aSXgt/+ukng3oriu4zq1ixotK7d2/9tlq1aik9evQodv6552t+jwsXLujTenl5KSqVSomMjDTI44UXXlDs7OyUO3fuKIqiKG+99Vae7cNrr72mqFQq5fTp04qiKMqKFSsUQPnqq68KrCOguLi4KMnJyfptly9fVtRqtTJnzhz9NhsbG2X8+PHFfg/KkgyTewKpVCq6detmsK1OnTpFGkZWHEeOHOGll17CyckJjUaDqakpQUFB5OTk8M8//xQ7PxsbG/r06cOvv/7KlStXADhx4gSHDh0iODhY/2tLSkoKkydPpmrVqpiYmGBiYoKNjQ137twxGlpWmJ07dwLof7XJ1adPnzx/qV2yZAkNGjTAwsICExMTTE1N2bFjR7HLzbV//37S0tKMZlTy8PCgXbt27Nixw2D7w/xsc9+L++vSpEkTatasqa9L1apVcXR0ZPLkySxZsiTPHpTGjRsDuvfxu+++49KlS0ZpNm3aRK1atahXrx7Z2dn6R4cOHQxmASxKXnlxcnKiW7duLF++XN/lf/PmTX788UeCgoL0n2+TJk24desW/fr148cff+T69etFyj9Xnz59iIiIMHp07tzZKO3951nur8+5733ur533fwavvPIK1tbW+s9g27Zt5OTkMHr06ELr5+rqSpMmTQy23X/ONGnShKNHjzJq1Ci2bNlCcnJyofmKkluxYoXR+VJYz9BLL71k8LxOnTqkp6dz9epVQPf3pFKpGDhwoMHfk6urK3Xr1tX/PSl3ezLvfTwMhdW3uPsC+nP2wIEDZGRk0KdPH4N0zz33XJFnT2vdujVVqlQxGCq3atUqMjIyDIZg/fvvv/Tv3x9XV1d9O9e6dWuAErU3tra2RseXex24V2m2c7mKen3JVa9ePTw9PfXPLSwsqF69eqm0N7///jvW1ta8/PLLBttz65Zbl6Jc/wu7fqWnp7Njxw569uyJlZWVwbnfuXNn0tPTOXDgQJHyyk+nTp1wdXU1OJ+2bNlCfHy8wfnUpEkTfvvtN9566y127dpFWlpakfLPNXfu3Dzbm/t7ff39/Y3ueevfvz/JyckcPnwY0H0Gfn5+Ru1DcHAwiqLoz5fffvsNCwuLQoemg264pq2trf65i4sLFSpUMGpvwsLCeP/99zlw4ECJbq141CQYegJZWVlhYWFhsM3c3Jz09PRSKyMuLo6WLVty6dIlPvvsM/bs2UNERIR+/G1x/8BzhYSEkJ2dzcqVKwHdkAqVSqUf0gS6P+gFCxYwbNgwtmzZwl9//UVERATOzs7FLje3W9bV1dVgu4mJCU5OTgbbPv30U1577TWaNm3K999/z4EDB4iIiKBjx44lPt7c8vOaXa5ixYpG3cYP87Mtal3s7e3ZvXs39erVY+rUqfj7+1OxYkXeeecd/UWtVatWbNy4kezsbIKCgnB3d6dWrVoG46KvXLnCsWPHMDU1NXjY2tqiKIo+KClKXvkZOnQoly5dYtu2bQCsWbOGjIwMgy8DgwYNYunSpZw/f57evXtToUIFmjZtqt+nMM7OzjRq1MjoUa5cOYN0eZ1Tuedd7nt748YNTExMjIZVqlQqXF1d9emuXbsGUKTJQO4vE3TnzL3n7JQpU/jkk084cOAAnTp1wsnJifbt25d42n5RsJo1axqdL4W5/3PMHc6U+zleuXIFRVFwcXEx+ps6cOCA/u9p+fLlRq8/DIXV90H2zf07yGvYX0FDAe+lUqkYOnQox48f15/ny5Yto3LlyvrZulJSUmjZsiUHDx7k/fffZ9euXURERPDDDz8U+VjudePGjTzrd3/7A6Xbzt1bflGuL7mKcu0oqRs3buDq6mp0D2+FChUwMTHR16Uo1//Crl83btwgOzubL774wujcz/3RKvfvo6TXQhMTEwYNGsSGDRv0Q+rCwsJwc3OjQ4cO+nSff/45kydPZuPGjbRt25Zy5crRo0cPzpw5U6T3zcfHJ8/25v6/47zOqbzam/za+3vTXbt2jYoVKxoM/8tPUc6Z8PBwBg8ezNdff02zZs0oV64cQUFBed4797iQYEjkaePGjdy5c4cffviBgQMH8vzzz9OoUSPMzMweKN/mzZtTs2ZNli1bRlZWFt9++y3t2rWjcuXKACQlJbFp0yYmTZrEW2+9Rfv27WncuDG1a9fW39NTHLl/uPf/EWZnZxs1DN9++y1t2rRh8eLFdOnShaZNm9KoUSOje4tKUn5eY/Lj4+OLff/TgyhOXWrXrs3atWu5ceMGkZGRBAYG8u677zJv3jx9mu7du7Njxw6SkpLYtWsX7u7u9O/fX38/Qvny5aldu3aev3JFREQY3IxaWF756dChAxUrVtT/Wrds2TKaNm1qNMvTkCFD2LdvH0lJSfzyyy8oikLXrl1LtTc1r3Mq97zLfe+dnJzIzs7WBzu5FEXh8uXL+s8g98vM/RNblJSJiQlvvPEGhw8fJjExkTVr1nDhwgU6dOhgNMGDeDyVL18elUrF3r178/x72rhxIwDdunUzeq0wuT/A3H9je1mN8c/9e8kdQXCv4nyhCg4ORqPRsHTpUo4ePcqRI0cYOnSo/gv677//Tnx8PEuXLmXYsGG0atWKRo0aGfzyXdx6F6XOpd3O3Vt+Ua4vj0Lue6EoisH2q1evkp2dbVCXwq7/hV2/HB0d0Wg0BAcH59ve5AZFD3ItHDJkCOnp6axdu5abN2/y008/ERQUZDB9u7W1NbNmzeLUqVNcvnyZxYsXc+DAAaMRHw8qr7+DvNqb/Np7wKC9iY+PN5pUoaTKly9PaGgo586d4/z588yZM4cffvjhsVibLz8SDD1DivPLXW5jce/Nloqi8NVXXz1wPYYOHUpUVBTTp0/n2rVrBl2zKpUKRVEMygX4+uuvycnJKXZZuTP9rFq1ymD7d999ZzR8RKVSGZV77Ngxoy/kxXkfmzVrhqWlJd9++63B9osXL/L777/Tvn37Ih1HaWjXrh2AUV0iIiKIjo7Osy4qlYq6desyf/58HBwc9N3v9zI3N6d169bMnTsX0A2vBOjatSsxMTE4OTnl+UtXXsNd8ssrPxqNhkGDBrFx40b27NnD33//XWBXv7W1NZ06dWLatGlkZmZy8uTJAvMvrvvPs9WrVwP/nYe57/H9n8H333/PnTt39K+/+OKLaDQaFi9eXKr1A3BwcODll19m9OjRJCYmlskCwaL4unbtiqIoXLp0Kc+/p9q1awPk+feWK79rl4uLCxYWFhw7dsxg+48//viQjypvTZs2xdzcnPDwcIPtBw4cKNYPGBUrVqRjx46sWbOGhQsXolarGTx4sP71vNo5gP/9738lqnfbtm25ffs2P/30k8H23OvAveUWtZ0rTntT1OvLo9C+fXtSUlL0QXquFStW6F+/X1Gu/3ldv6ysrGjbti1HjhyhTp06ef595NWjUdxrYc2aNWnatCnLli1j9erVZGRkGIxquZ+LiwvBwcH069eP06dPl+oPTydPnuTo0aMG21avXo2tra1+oo327dsTFRVl1G6vWLEClUql7yHt1KkT6enpD2VhV09PT8aMGcMLL7yQ5/eHx4XMJvcMyV2p/ssvv8TW1hYLCwsqV66c50XihRdewMzMjH79+jFp0iTS09NZvHgxN2/efOB6BAUFMXXqVD7++GMcHBwMpkC2s7OjVatWfPzxx5QvXx5vb292797NN998g4ODQ7HLqlmzJgMHDiQ0NBRTU1MCAgI4ceIEn3zyidFigF27duW9997jnXfeoXXr1pw+fZp3332XypUrGwROtra2eHl58eOPP9K+fXvKlSunr+v9HBwcmDFjBlOnTiUoKIh+/fpx48YNZs2ahYWFhX6Gm9KSnJzM+vXrjbY7OzvTunVrRowYwRdffIFaraZTp0762eQ8PDyYMGECoLs3YdGiRfTo0QMfHx8UReGHH37g1q1bvPDCC4BuprOLFy/Svn173N3duXXrFp999pnBePvx48fz/fff06pVKyZMmECdOnXQarXExcWxdetWJk6cSNOmTYuUV0GGDh3K3Llz9dPp3j9z0/Dhw7G0tKRFixa4ublx+fJl5syZg729vX68ekGuXLmiH29+Lzs7O4MeKDMzM+bNm0dKSgqNGzfWzybXqVMnnn/+eUD3d9WhQwcmT55McnIyLVq00M/2VL9+fQYNGgTopk6dOnUq7733HmlpafopjKOiorh+/bp+0d+i6tatm37tG2dnZ86fP09oaCheXl4GM/GJx1eLFi0YMWIEQ4YM4e+//6ZVq1ZYW1uTkJDA3r17qV27Nq+99lqBeeQGTHPnzqVTp05oNBrq1KmjX+Nt6dKlVKlShbp16/LXX38ZfYl/VMqVK8cbb7zBnDlzcHR0pGfPnly8eJFZs2bh5uZWpOE8uUJCQvjll1/4+uuv6dChAx4eHvrXmjdvjqOjI6+++irvvPMOpqamrFq1yuhLZlEFBQUxf/58goKCmD17NtWqVePXX39ly5YtBumK084Vt90uyvWltMTExOTZ3vj5+REUFMTChQsZPHgw586do3bt2uzdu5cPPviAzp07ExAQABStLSnK9euzzz7j+eefp2XLlrz22mt4e3tz+/Ztzp49y88//6y/P+ZBr4VDhw5l5MiRxMfH07x5c2rUqGHwetOmTenatSt16tTB0dGR6OhoVq5cSbNmzbCysio0/zNnzuTZ3ty/hmLFihV56aWXmDlzJm5ubnz77bds27aNuXPn6suZMGECK1asoEuXLrz77rt4eXnxyy+/sGjRIl577TX9rIz9+vVj2bJlvPrqq5w+fZq2bdui1Wo5ePAgNWvWpG/fvoXWO1dSUhJt27alf//++Pr6YmtrS0REBJs3bzb4rvfYKZNpG0SR5DebnLW1tVHavGa6IY8Zz0JDQ5XKlSsrGo3GYHabvGaE+/nnn5W6desqFhYWSqVKlZT/+7//U3777TejmW2KOpvcvXr27JnnzGaKoigXL15UevfurTg6Oiq2trZKx44dlRMnTuQ7M1FBs8kpiqJkZGQoEydOVCpUqKBYWFgozz33nLJ//36j/DIyMpQ333xTqVSpkmJhYaE0aNBA2bhxY57Ht337dqV+/fqKubm5wax0988ml+vrr79W6tSpo5iZmSn29vZK9+7dlZMnTxqkKc5nm5fcmcXyeuTOeJSTk6PMnTtXqV69umJqaqqUL19eGThwoMFMNadOnVL69eunVKlSRbG0tFTs7e2VJk2aKGFhYfo0mzZtUjp16qRUqlRJMTMzUypUqKB07txZ2bNnj0GdUlJSlOnTpys1atTQH3vt2rWVCRMmKJcvXy5WXgVp3ry5AuQ5S9Ty5cuVtm3bKi4uLoqZmZlSsWJFpU+fPsqxY8cKzTe/9xNQWrRooU+X+9kdO3ZMadOmjWJpaamUK1dOee2115SUlBSDPNPS0pTJkycrXl5eiqmpqeLm5qa89tprys2bN43KX7FihdK4cWPFwsJCsbGxUerXr28wI1V+Mwjef87OmzdPad68uVK+fHnFzMxM8fT0VEJCQpRz584V+h6Iosvrmn2vgmaTu3btWp553X8tWbp0qdK0aVPF2tpasbS0VKpUqaIEBQUpf//9d6H1y8jIUIYNG6Y4OzsrKpXKIP+kpCRl2LBhiouLi2Jtba1069ZNOXfuXL6zyRWlvvlds9etW1fo+6LVapX3339fcXd3V8zMzJQ6deoomzZtUurWrWswu2dhMjMzFRcXlzxnNlMURdm3b5/SrFkzxcrKSnF2dlaGDRumHD58ON/P6V73zyanKP+1XzY2Noqtra3Su3dvZd++fUb5FbWdU5TitdtFvb54eXkpXbp0MXo/8jqmvBR0bcw9X27cuKG8+uqripubm2JiYqJ4eXkpU6ZMUdLT0/X5FOX6X9TrV2xsrDJ06FClUqVKiqmpqeLs7Kw0b95cef/994udV36SkpIUS0vLfGdfe+utt5RGjRopjo6Oirm5ueLj46NMmDBBuX79eoH5Fjab3LRp0/Rpcz+79evXK/7+/oqZmZni7e1tMHNirvPnzyv9+/dXnJycFFNTU6VGjRrKxx9/bDR7b1pamvL2228r1apVU8zMzBQnJyelXbt2yr59+/RpyGcGwXvP2fT0dOXVV19V6tSpo9jZ2SmWlpZKjRo1lHfeeUc/y93jSKUo9w3oFEIIUSzBwcGsX7+elJSUsq6KEE+t2NhYfH19eeedd0p10WQhniTe3t7UqlXLaLFTUXIyTE4IIYQQj5WjR4+yZs0amjdvjp2dHadPn+ajjz7Czs5Ov0C3EEKUBgmGhBBCCPFYsba25u+//+abb77h1q1b2Nvb06ZNG2bPnl3k6bWFEKIoZJicEEIIIYQQ4pkkU2sLIYQQQgghnkkSDAkhhBBCCCGeSRIMCSGEEEIIIZ5JT80EClqtlvj4eGxtbfWrSgshhHi25OTkcPbsWapWrYpGoynr6gghhCgjiqJw+/ZtKlasWOBizU9NMBQfH2+wsrQQQgghhBDi2XbhwgXc3d3zff2pCYZsbW0B3QHb2dmVcW2EEEKUhYsXL+Lv7y9tgRBCPOOSk5Px8PDQxwj5eWqCodyhcXZ2dtIACiHEMyr3+i9tgRBCCKDQ22dkAgUhhBBCCCHEM0mCISGEEEIIIcQzSYIhIYQQQgghxDPpqblnSAjx8OXk5JCVlVXW1RDPODMzswKnSRVCPFxarZbMzMyyroZ4xpmampbKEgoSDAkhCqUoCpcvX+bWrVtlXRUhUKvVVK5cGTMzs7KuihDPnMzMTGJjY9FqtWVdFSFwcHDA1dX1gdYYlWBICFGo3ECoQoUKWFlZycLGoszkLrCdkJCAp6ennItCPEKKopCQkIBGo8HDw0N6aEWZURSF1NRUrl69CoCbm1uJ85JgSAhRoJycHH0g5OTkVNbVEQJnZ2fi4+PJzs7G1NS0rKsjxDMjOzub1NRUKlasiJWVVVlXRzzjLC0tAbh69SoVKlQo8ZA5CemFEAXKvUdIGj7xuMgdHpeTk1PGNRHi2ZL7NydDVMXjIve7yYPczyzBkBCiSGQ4knhcyLkoRNmSv0HxuCiNc7FEwdCiRYuoXLkyFhYWNGzYkD179hRpvz///BMTExPq1atnsD0sLAyVSmX0SE9PL0n1hBBCCCGEEKJQxQ6GwsPDGT9+PNOmTePIkSO0bNmSTp06ERcXV+B+SUlJBAUF0b59+zxft7OzIyEhweBhYWFR3OoJIUSpadOmDePHj9c/9/b2JjQ0tMB9VCoVGzdufOCySyufh2nmzJlGP27dLzg4mB49ejyS+gghxMMi7UHBnuT2oNjB0KeffkpISAjDhg2jZs2ahIaG4uHhweLFiwvcb+TIkfTv359mzZrl+bpKpcLV1dXgIYQQJdGtWzcCAgLyfG3//v2oVCoOHz5c7HwjIiIYMWLEg1bPQH4NSEJCAp06dSrVsu6XX6/8119//VDLvVd6ejrBwcHUrl0bExOTx7KhFEI8uaQ9KJpnuT0o1mxymZmZHDp0iLfeestg+4svvsi+ffvy3W/ZsmXExMTw7bff8v777+eZJiUlBS8vL3JycqhXrx7vvfce9evXzzfPjIwMMjIy9M+Tk5OLcyhCiKdYSEgIvXr14vz583h5eRm8tnTpUurVq0eDBg2Kna+zs3NpVbFQj+oHITs7O06fPm2wzd7e/pGUDbobsi0tLXn99df5/vvvi73//W3B7du3S7N6QognnLQHRfektwclVayeoevXr5OTk4OLi4vBdhcXFy5fvpznPmfOnOGtt95i1apVmJjkHXv5+voSFhbGTz/9xJo1a7CwsKBFixacOXMm37rMmTMHe3t7/cPDw6M4h5KnlMwU1p5aS5a25DNSCCHKXteuXalQoQJhYWEG21NTUwkPDyckJIQbN27Qr18/3N3dsbKyonbt2qxZs6bAfO8fFnHmzBlatWqFhYUFfn5+bNu2zWifyZMnU716daysrPDx8WHGjBn6WW/CwsKYNWsWR48e1f8Kl1vn+4dFHD9+nHbt2mFpaYmTkxMjRowgJSVF/3ru8INPPvkENzc3nJycGD16dKEz7OTVK587XWlcXBzdu3fHxsYGOzs7+vTpw5UrV/LNKycnhzfeeAMHBwecnJyYNGkSiqIUWL61tTWLFy9m+PDhJWrw728L/Pz8ip2HEOLpJe3Bs9MelFSJJlC4f+YGRVHynM0hJyeH/v37M2vWLKpXr55vfs899xwDBw6kbt26tGzZku+++47q1avzxRdf5LvPlClTSEpK0j8uXLhQkkMxOIZ+v/Rj9sHZbDtnfAILIf6jKAqpmdmP/FHYhTSXiYkJQUFBhIWFGeyzbt06MjMzGTBgAOnp6TRs2JBNmzZx4sQJRowYwaBBgzh48GCRytBqtfTq1QuNRsOBAwdYsmQJkydPNkpna2tLWFgYUVFRfPbZZ3z11VfMnz8fgMDAQCZOnIi/v7/+XsnAwECjPFJTU+nYsSOOjo5ERESwbt06tm/fzpgxYwzS7dy5k5iYGHbu3Mny5csJCwsz+gJQVIqi0KNHDxITE9m9ezfbtm0jJiYmz/rlmjdvHkuXLuWbb75h7969JCYmsmHDhhKVX1T3twVRUVEPtTwhxH/Kqi2Q9kDag9JUrGFy5cuXR6PRGPUCXb161ai3CHTDFf7++2+OHDmi/5C0Wi2KomBiYsLWrVtp166d0X5qtZrGjRsX2DNkbm6Oubl5capfIJVKRVefriyIXMCKqBV0qtxJpo4UIh9pWTn4vb3lkZcb9W4HrMyKdtkaOnQoH3/8Mbt27aJt27aAbkhEr169cHR0xNHRkTfffFOffuzYsWzevJl169bRtGnTQvPfvn070dHRnDt3Dnd3dwA++OADo3Hd06dP1//f29ubiRMnEh4ezqRJk7C0tMTGxgYTE5MCfwVbtWoVaWlprFixAmtrawAWLFhAt27dmDt3rv766+joyIIFC9BoNPj6+tKlSxd27NjB8OHD8807KSkJGxsb/XMbGxsuX77M9u3bOXbsGLGxsfqe95UrV+Lv709ERASNGzc2yis0NJQpU6bQu3dvAJYsWcKWLQ/3PLm/LZAh00I8OmXVFoC0B9IelJ5iBUNmZmY0bNiQbdu20bNnT/32bdu20b17d6P0dnZ2HD9+3GDbokWL+P3331m/fj2VK1fOsxxFUYiMjKR27drFqd4D61OjD18d/4qTN05y+OphGro0fKTlCyFKj6+vL82bN2fp0qW0bduWmJgY9uzZw9atWwFdz/WHH35IeHg4ly5d0t97ktu4FCY6OhpPT099wwfkOUHM+vXrCQ0N5ezZs6SkpJCdnY2dnV2xjiU6Opq6desa1K1FixZotVpOnz6tb/z8/f0NVuB2c3Mzugbfz9bW1uDmYbVarS/Tw8PDYAiyn58fDg4OREdHGzV+SUlJJCQkGLwHJiYmNGrUqMi/4AohxMMg7YG0BwUpVjAE8MYbbzBo0CAaNWpEs2bN+PLLL4mLi+PVV18FdEMWLl26xIoVK1Cr1dSqVctg/woVKmBhYWGwfdasWTz33HNUq1aN5ORkPv/8cyIjI1m4cOEDHl7xOFo40q1KN9b/s54VJ1dIMCREPixNNUS926FMyi2OkJAQxowZw8KFC1m2bBleXl766f3nzZvH/PnzCQ0NpXbt2lhbWzN+/HgyMzOLlHdeF/T7e5MPHDhA3759mTVrFh06dMDe3p61a9cyb968Yh1HfkOR7y/T1NTU6DWtVltg3mq1mqpVqxa5zILqIoR4tpRVW5BbdnFIeyDtQX6KHQwFBgZy48YN3n33XRISEqhVqxa//vqrfoaOhISEQtccut+tW7cYMWIEly9fxt7envr16/PHH3/QpEmT4lbvgQ2qOYj1/6xn54WdXEi+gIfdg0/MIMTTRqVSFXl4Qlnq06cP48aNY/Xq1Sxfvpzhw4frL9x79uyhe/fuDBw4ENAN4T1z5gw1a9YsUt5+fn7ExcURHx9PxYoVAd00rff6888/8fLyYtq0afpt58+fN0hjZmZGTk5OoWUtX76cO3fu6H8N/PPPP1Gr1QXej/kgco/vwoUL+l8Do6KiSEpKyvM9sre3x83NjQMHDtCqVSsAsrOzOXToUIlmahJCPP6elLYApD14EE97e1CiCRRGjRrFuXPnyMjI4NChQ/oDBd1sGLt27cp335kzZxIZGWmwbf78+Zw/f56MjAyuXr3Kli1b8l2P6GHzcfDh+UrPo6DwbfS3ZVIHIUTpsLGxITAwkKlTpxIfH09wcLD+tapVq7Jt2zb27dtHdHQ0I0eOzHdWzLwEBARQo0YNgoKCOHr0KHv27DFo5HLLiIuLY+3atcTExPD5558b3UDq7e1NbGwskZGRXL9+3WCa6FwDBgzAwsKCwYMHc+LECXbu3MnYsWMZNGhQnvdrloaAgADq1KnDgAEDOHz4MH/99RdBQUG0bt2aRo0a5bnPuHHj+PDDD9mwYQOnTp1i1KhR3Lp1q9CyoqKiiIyMJDExkaSkJCIjI43aCSGEeBDSHpTc094elCgYetoF+QUBsOHsBpIyksq4NkKIBxESEsLNmzcJCAjA09NTv33GjBk0aNCADh060KZNG1xdXYu1wJtarWbDhg1kZGTQpEkThg0bxuzZsw3SdO/enQkTJjBmzBjq1avHvn37mDFjhkGa3r1707FjR9q2bYuzs3Oe07laWVmxZcsWEhMTady4MS+//DLt27dnwYIFxXsziiF3KldHR0datWpFQEAAPj4+hIeH57vPxIkTCQoKIjg4mGbNmmFra2twf2l+OnfuTP369fn555/ZtWsX9evXL3CdOSGEKAlpD0rmaW8PVMrjeCdTCSQnJ2Nvb09SUlKxb0a7n6Io9P65N2dunmFCwwkMrTW0lGopxJMnPT2d2NhYKleujIWFRVlXR4gCz8mLFy/i4eFRKm2BEMKQtAficVPQOVnU2EB6hvKgUqn0vUOro1fLIqxCCCGEEEI8hSQYykfnyp1xsnDiSuoVWYRVCCGEEEKIp5AEQ/kw05jR17cvACuiVjyW86ILIYQQQgghSk6CoQL0qdEHc405J2+c5MjVI2VdHSGEEEIIIUQpkmCoAOUsytGtSjdA1zskhBBCCCGEeHpIMFSIQTUHAfB73O9cSL5QxrURQgghhBBClBYJhgohi7AKIYQQQgjxdJJgqAjuXYQ1OTO5jGsjhBBCCCGEKA0SDBXBc27PUc2xGmnZaXz/z/dlXR0hhBBCCCFEKZBgqAhUKpX+3qFV0atkEVYhnhFt2rRh/Pjx+ufe3t6EhoYWuI9KpWLjxo0PXHZp5fMwzZw5k3r16hWYJjg4mB49ejyS+gghxMMi7UHBnuT2QIKhIuri00W/COv289vLujpCiAJ069aNgICAPF/bv38/KpWKw4cPFzvfiIgIRowY8aDVM5BfA5KQkECnTp1Ktaz7hYWFoVKpjB5ff/31Qy33Xrt27aJ79+64ublhbW1NvXr1WLVq1SMrXwjxdJP2oGie5fbA5KGX8JTIXYR1YeRClp9cTkfvjqhUqrKulhAiDyEhIfTq1Yvz58/j5eVl8NrSpUupV68eDRo0KHa+zs7OpVXFQrm6uj6Scuzs7Dh9+rTBNnt7+0dSNsC+ffuoU6cOkydPxsXFhV9++YWgoCDs7Ozo1q3bI6uHEOLpJO1B0T2r7YH0DBVDnxp9MFObySKsQjzmunbtSoUKFQgLCzPYnpqaSnh4OCEhIdy4cYN+/frh7u6OlZUVtWvXZs2aNQXme/+wiDNnztCqVSssLCzw8/Nj27ZtRvtMnjyZ6tWrY2VlhY+PDzNmzCArSzfUNiwsjFmzZnH06FH9r3C5db5/WMTx48dp164dlpaWODk5MWLECFJSUvSv5w4/+OSTT3Bzc8PJyYnRo0fry8qPSqXC1dXV4GFpaQlAXFwc3bt3x8bGBjs7O/r06cOVK1fyzSsnJ4c33ngDBwcHnJycmDRpEoqiFFj+1KlTee+992jevDlVqlTh9ddfp2PHjmzYsKHA/YQQoiikPZD2oDASDBWDLMIqxF2KApl3Hv2jkAtpLhMTE4KCgggLCzO4+K5bt47MzEwGDBhAeno6DRs2ZNOmTZw4cYIRI0YwaNAgDh48WKQytFotvXr1QqPRcODAAZYsWcLkyZON0tna2hIWFkZUVBSfffYZX331FfPnzwcgMDCQiRMn4u/vT0JCAgkJCQQGBhrlkZqaSseOHXF0dCQiIoJ169axfft2xowZY5Bu586dxMTEsHPnTpYvX05YWJjRF4CiUhSFHj16kJiYyO7du9m2bRsxMTF51i/XvHnzWLp0Kd988w179+4lMTGxRI1YUlIS5cqVK1G9hRCPUFm1BdIeSHtQimSYXDEN8hvE92e+1y/C6mHnUdZVEuLRy0qFDyo++nKnxoOZdZGSDh06lI8//phdu3bRtm1bQDckolevXjg6OuLo6Mibb76pTz927Fg2b97MunXraNq0aaH5b9++nejoaM6dO4e7uzsAH3zwgdG47unTp+v/7+3tzcSJEwkPD2fSpElYWlpiY2ODiYlJgcMgVq1aRVpaGitWrMDaWnf8CxYsoFu3bsydOxcXFxcAHB0dWbBgARqNBl9fX7p06cKOHTsYPnx4vnknJSVhY2Ojf25jY8Ply5fZvn07x44dIzY2Fg8P3XVu5cqV+Pv7ExERQePGjY3yCg0NZcqUKfTu3RuAJUuWsGXLlgLfx/utX7+eiIgI/ve//xVrPyFEGSirtgCkPZD2oNRIMFRMVRyq8Hyl59l7aS+rTq3irSZvlXWVhBB58PX1pXnz5ixdupS2bdsSExPDnj172Lp1K6Drwv/www8JDw/n0qVLZGRkkJGRoW9cChMdHY2np6e+4QNo1qyZUbr169cTGhrK2bNnSUlJITs7Gzs7u2IdS3R0NHXr1jWoW4sWLdBqtZw+fVrf+Pn7+6PRaPRp3NzcOH78eIF529raGtw8rFar9WV6eHjoGz4APz8/HBwciI6ONmr8kpKSSEhIMHgPTExMaNSoUaFDI3Lt2rWL4OBgvvrqK/z9/Yu0jxBCFEbaA2kPCiLBUAkM8hvE3kt7+eHMD4yqNwo7s+KdyEI88UytdL/KlUW5xRASEsKYMWNYuHAhy5Ytw8vLi/bt2wO6Lvz58+cTGhpK7dq1sba2Zvz48WRmZhYp77wu6PdPqnLgwAH69u3LrFmz6NChA/b29qxdu5Z58+YV6zgURcl3wpZ7t5uamhq9ptVqC8xbrVZTtWrVIpdZUF0exO7du+nWrRuffvopQUFBpZ6/EOIhKKu2ILfsYpD2QNqD/Mg9QyXQzK0ZVR2qkpadxg///FDW1RHi0VOpdMMTHvWjmBfdPn36oNFoWL16NcuXL2fIkCH6C/eePXvo3r07AwcOpG7duvj4+HDmzJki5+3n50dcXBzx8f99Edi/f79Bmj///BMvLy+mTZtGo0aNqFatGufPnzdIY2ZmRk5OTqFlRUZGcufOHYO81Wo11atXL3KdiyP3+C5cuKDfFhUVRVJSEjVr1jRKb29vj5ubGwcOHNBvy87O5tChQ4WWtWvXLrp06cKHH35Y6lPVCiEeorJqC6Q9kPagFEkwVAIqlYogP12kuuqULMIqxOPKxsaGwMBApk6dSnx8PMHBwfrXqlatyrZt29i3bx/R0dGMHDmSy5cvFznvgIAAatSoQVBQEEePHmXPnj1MmzbNIE3VqlWJi4tj7dq1xMTE8PnnnxvdQOrt7U1sbCyRkZFcv36djIwMo7IGDBiAhYUFgwcP5sSJE+zcuZOxY8cyaNAg/ZCI0hYQEECdOnUYMGAAhw8f5q+//iIoKIjWrVvTqFGjPPcZN24cH374IRs2bODUqVOMGjWKW7duFVhObsP3+uuv07t3by5fvszly5dJTEx8CEclhHhWSXtQck97eyDBUAl19ulMOYtyXL5zWRZhFeIxFhISws2bNwkICMDT01O/fcaMGTRo0IAOHTrQpk0bXF1di7UytlqtZsOGDWRkZNCkSROGDRvG7NmzDdJ0796dCRMmMGbMGOrVq8e+ffuYMWOGQZrevXvTsWNH2rZti7Ozc57TuVpZWbFlyxYSExNp3LgxL7/8Mu3bt2fBggXFezOKIXcqV0dHR1q1akVAQAA+Pj6Eh4fnu8/EiRMJCgoiODiYZs2aYWtrS8+ePQssJywsjNTUVObMmYObm5v+0atXr9I+JCHEM07ag5J52tsDlVLUO5kec8nJydjb25OUlFTsm9FKavHRxSyKXEQtp1qs7rJaFmEVT6X09HRiY2OpXLkyFhYWZV0dIQo8Jy9evIiHh8cjbQuEeFZIeyAeNwWdk0WNDaRn6AEE1gjETG3GiRsniLwWWdbVEUIIIYQQQhSDBEMPwGAR1pOyCKsQQgghhBBPEgmGHtAgv0EA7IjbwYXkC4WkFkIIIYQQQjwuJBh6QFUcqtCiUgsUFFadWlXW1RFCCCGEEEIUkQRDpSB3mu0NZzaQnJlcxrURQgghhBBCFIUEQ6UgdxHW1OxUWYRVCCGEEEKIJ4QEQ6Xg/kVYs7XZZVwjIYQQQgghRGEkGColsgirEEIIIYQQTxYJhkqJucacvr59AVh+cjlPyVq2QgghhBBCPLUkGCpFfar3kUVYhXiKtGnThvHjx+ufe3t7ExoaWuA+KpWKjRs3PnDZpZXPwzRz5kzq1atXYJrg4GB69OjxSOojhBAPi7QHBXuS2wMJhkqRk6WTLMIqxGOgW7duBAQE5Pna/v37UalUHD58uNj5RkREMGLEiAetnoH8GpCEhAQ6depUqmXdLywsDJVKZfT4+uuvH2q59zp9+jRt27bFxcUFCwsLfHx8mD59OllZWY+sDkKIp5e0B0XzLLcHJg8192fQwJoD+f7M9/x+4Xcu3L6Ah61HWVdJiGdOSEgIvXr14vz583h5eRm8tnTpUurVq0eDBg2Kna+zs3NpVbFQrq6uj6QcOzs7Tp8+bbDN3t7+kZQNYGpqSlBQEA0aNMDBwYGjR48yfPhwtFotH3zwwSOrhxDi6STtQdE9q+2B9AzdLz3pgXav6liVFpVaoFW0rI5eXUqVEkIUR9euXalQoQJhYWEG21NTUwkPDyckJIQbN27Qr18/3N3dsbKyonbt2qxZs6bAfO8fFnHmzBlatWqFhYUFfn5+bNu2zWifyZMnU716daysrPDx8WHGjBn6X7nCwsKYNWsWR48e1f8Kl1vn+4dFHD9+nHbt2mFpaYmTkxMjRowgJSVF/3ru8INPPvkENzc3nJycGD16dKG/qKlUKlxdXQ0elpaWAMTFxdG9e3dsbGyws7OjT58+XLlyJd+8cnJyeOONN3BwcMDJyYlJkyYVev+kj48PQ4YMoW7dunh5efHSSy8xYMAA9uzZU+B+QghRFNIeSHtQGAmGcikK7F8En9WD62ceKKugmrpptn848wO3M2+XQuWEeLwoikJqVuojfxR1YhITExOCgoIICwsz2GfdunVkZmYyYMAA0tPTadiwIZs2beLEiROMGDGCQYMGcfDgwSKVodVq6dWrFxqNhgMHDrBkyRImT55slM7W1pawsDCioqL47LPP+Oqrr5g/fz4AgYGBTJw4EX9/fxISEkhISCAwMNAoj9TUVDp27IijoyMRERGsW7eO7du3M2bMGIN0O3fuJCYmhp07d7J8+XLCwsKMvgAUlaIo9OjRg8TERHbv3s22bduIiYnJs3655s2bx9KlS/nmm2/Yu3cviYmJbNiwoVjlnj17ls2bN9O6desS1VsI8eiUVVsg7YG0B6WpRMPkFi1axMcff0xCQgL+/v6EhobSsmXLQvf7888/ad26NbVq1SIyMtLgte+//54ZM2YQExNDlSpVmD17Nj179ixJ9UpGmw0nN0BaIqwOhGHbwapcibJqVlG3COvZW2f54cwPDPYfXMqVFaJspWWn0XR100de7sH+B7EytSpS2qFDh/Lxxx+za9cu2rZtC+iGRPTq1QtHR0ccHR1588039enHjh3L5s2bWbduHU2bFn5s27dvJzo6mnPnzuHu7g7ABx98YDSue/r06fr/e3t7M3HiRMLDw5k0aRKWlpbY2NhgYmJS4DCIVatWkZaWxooVK7C2tgZgwYIFdOvWjblz5+Li4gKAo6MjCxYsQKPR4OvrS5cuXdixYwfDhw/PN++kpCRsbGz0z21sbLh8+TLbt2/n2LFjxMbG4uGhG+67cuVK/P39iYiIoHHjxkZ5hYaGMmXKFHr37g3AkiVL2LJlS4HvY67mzZtz+PBhMjIyGDFiBO+++26R9hNClJ2yagtA2gNpD0pPsXuGwsPDGT9+PNOmTePIkSO0bNmSTp06ERcXV+B+SUlJBAUF0b59e6PX9u/fT2BgIIMGDeLo0aMMGjSIPn36FDkiLxUaU+i7Cuw9IDEG1gVDTslu2Lp3EdZvo7+VRViFKAO+vr40b96cpUuXAhATE8OePXsYOnQooOvCnz17NnXq1MHJyQkbGxu2bt1a6LUsV3R0NJ6envqGD6BZs2ZG6davX8/zzz+Pq6srNjY2zJgxo8hl3FtW3bp19Q0fQIsWLdBqtQbju/39/dFoNPrnbm5uXL16tcC8bW1tiYyM1D/27dunL9PDw0Pf8AH4+fnh4OBAdHS0UT5JSUkkJCQYvAcmJiY0atSoSMcYHh7O4cOHWb16Nb/88guffPJJkfYTQojCSHsg7UFBit0z9OmnnxISEsKwYcMAXeS3ZcsWFi9ezJw5c/Ldb+TIkfTv3x+NRmM0PWBoaCgvvPACU6ZMAWDKlCns3r2b0NDQQsdsliqbCtBvDXzTAWJ3w+Yp0KVkH0Bnn86EHg7VL8LasXLHUq6sEGXH0sSSg/0f4Y8V95RbHCEhIYwZM4aFCxeybNkyvLy89D/IzJs3j/nz5xMaGkrt2rWxtrZm/PjxZGZmFinvvIZoqFQqg+cHDhygb9++zJo1iw4dOmBvb8/atWuZN29esY5DURSjvPMq09TU1Og1rVZbYN5qtZqqVasWucyC6vIgchtZPz8/cnJyGDFiBBMnTjRozIUQj5eyagtyyy4OaQ+kPchPsXqGMjMzOXToEC+++KLB9hdffFEfPeZl2bJlxMTE8M477+T5+v79+43y7NChQ4F5PjSutaHXl7r/R3wFESWbUtBcY07fGrpFWFdErZBFWMVTRaVSYWVq9cgfxb3o9unTB41Gw+rVq1m+fDlDhgzR57Fnzx66d+/OwIEDqVu3Lj4+Ppw5U/T7Bf38/IiLiyM+Pl6/bf/+/QZp/vzzT7y8vJg2bRqNGjWiWrVqnD9/3iCNmZkZOTk5hZYVGRnJnTt3DPJWq9VUr169yHUujtzju3Dhgn5bVFQUSUlJ1KxZ0yi9vb09bm5uHDhwQL8tOzubQ4cOFbtsRVHIysqS66YQj7myagukPZD2oDQVKxi6fv06OTk5+vGIuVxcXLh8+XKe+5w5c4a33nqLVatWYWKSd0fU5cuXi5UnQEZGBsnJyQaPUlOzK7R/W/f/XyfBv7tKlE2fGrpFWI9fP87Ra0dLr35CiCKxsbEhMDCQqVOnEh8fT3BwsP61qlWrsm3bNvbt20d0dDQjR44s8Jpzv4CAAGrUqEFQUBBHjx5lz549TJs2zSBN1apViYuLY+3atcTExPD5558b3UDq7e1NbGwskZGRXL9+nYyMDKOyBgwYgIWFBYMHD+bEiRPs3LmTsWPHMmjQIKNrZ2kJCAigTp06DBgwgMOHD/PXX38RFBRE69at8x3qMG7cOD788EM2bNjAqVOnGDVqFLdu3SqwnFWrVvHdd98RHR3Nv//+y7p165gyZQqBgYH5thn3ur8tuH1bJq0RQhiT9qDknpT2oKRKNJvc/dF4ft1kOTk59O/fn1mzZhUarRY1z1xz5szB3t5e/7h3HGOpeP4NqN0HlBz4bjDciCl2FgaLsEbJIqxClIWQkBBu3rxJQEAAnp6e+u0zZsygQYMGdOjQgTZt2uDq6lqslbHVajUbNmwgIyODJk2aMGzYMGbPnm2Qpnv37kyYMIExY8ZQr1499u3bx4wZMwzS9O7dm44dO9K2bVucnZ3zHBpsZWXFli1bSExMpHHjxrz88su0b9+eBQsWFO/NKIbcqVwdHR1p1aoVAQEB+Pj4EB4enu8+EydOJCgoiODgYJo1a4atrW2hE+GYmJgwd+5cmjRpQp06dZg5cyajR48u8kJ/97cFfn5+xTpOIcSzQ9qDknlS2oOSUinF6HfKzMzEysqKdevWGRzQuHHjiIyMZPfu3Qbpb926haOjo8EYP61Wi6IoaDQatm7dSrt27fD09GTChAlMmDBBny537Ob9XYi5MjIyDCLm5ORkPDw8SEpKws7OrqiHVLCsdAjrApf+BqdquhnmLB2KlcXZm2fp+VNP1Co1m3pukkVYxRMnPT2d2NhYKleujIWFRVlXRwiDc1KlUhm0BZcuXcLPz6902wIhBCDtgXj8FHROJicnY29vX2h7UKyeITMzMxo2bGi0kNS2bdto3ry5UXo7OzuOHz9uMDPFq6++So0aNYiMjNRPV9isWTOjPLdu3ZpnnrnMzc2xs7MzeJQ6UwvouxrsKsGNM7B+COQUb2a4qo5VaVFRFmEVQoiH4f62wNbWtqyrJIQQ4glS7GFyb7zxBl9//TVLly4lOjqaCRMmEBcXx6uvvgroZoILCtJNK61Wq6lVq5bBo0KFClhYWFCrVi39tIDjxo1j69atzJ07l1OnTjF37ly2b9/O+PHjS+9IS8rWRTfDnKkVxPwOW6cVvs99cqfZlkVYhRBCCCGEeHwUOxgKDAwkNDSUd999l3r16vHHH3/w66+/4uXlBUBCQkKx50xv3rw5a9euZdmyZdSpU4ewsDDCw8OLtNDVI+FWF3ou0f3/4BL4e1mxds9dhDU1O5UfzvzwECoohBBCCCGEKK5i3TP0OCvquMAHsvsj2Dkb1CYwaCNUblnkXX848wPv7HsHN2s3fu31KybqhzcrhhClScaIi8dNQefkxYsXS//+USEEIO2BePw88nuGnnmt/g9q9QZtNnw3CBL/LfKuXXy6UM6iHAl3Etget/0hVlIIIYQQQghRFBIMFYdKBd0XQsX6kHYTVveF9KQi7WqwCOtJWYRVCCGEEEKIsibBUHGZWkLfNWDrBtdPw/oQ0Ba8WnAuWYRVCCGEEEKIx4cEQyVh56abctvEEs5ug21vF2k3J0snulbpCsgirEIIIYQQQpQ1CYZKqlID6LFI9//9C+Bw0YKbQTUHAbAjbgcXb198WLUTQgghhBBCFEKCofsU616eWr2g9Vu6/296A879Wegu9y7Cuip6VQlrKYR4FNq0aWOw3pm3tzehoaEF7qNSqdi4ceMDl11a+TxMM2fOpF69egWmCQ4OpkePHo+kPkII8bBIe1CwJ7k9kGDoHqmHD3MhJISc5OSi79R6Mvh1B22Wboa5m+cK3WWQn653SBZhFeLh6NatGwEBAXm+tn//flQqFYcPHy52vhEREYwYMeJBq2cgvwYkISGBTp06lWpZ9wsLC0OlUhk9vv7664dabn7Onj2Lra0tDg4OZVK+EOLpI+1B0TzL7YEEQ3cpWVnE/98k7uzbT9yQoeTculW0HdVq6LFEtzBr6o27M8wVHEw1r9icKvZVZBFWIR6SkJAQfv/9d86fP2/02tKlS6lXrx4NGjQodr7Ozs5YWVmVRhUL5erqirm5+UMvx87OjoSEBIPHgAEDHnq598vKyqJfv360bFn09duEEKIw0h4U3bPaHkgwdJfK1BT3hQvQODqSfvIk5wcHk52YWLSdzax0M8zZuMK1aPhheIEzzKlUKoL8gwBYFb2KbG12aRyCEOKurl27UqFCBcLCwgy2p6amEh4eTkhICDdu3KBfv364u7tjZWVF7dq1WbNmTYH53j8s4syZM7Rq1QoLCwv8/PzYtm2b0T6TJ0+mevXqWFlZ4ePjw4wZM8jKygJ0v8TNmjWLo0eP6n+Fy63z/cMijh8/Trt27bC0tMTJyYkRI0aQkpKifz13+MEnn3yCm5sbTk5OjB49Wl9WflQqFa6urgYPS0tLAOLi4ujevTs2NjbY2dnRp08frly5km9eOTk5vPHGGzg4OODk5MSkSZOKPPR4+vTp+Pr60qdPnyKlF0KIopD2QNqDwkgwdA8LX1+8VixHU748GadPcz4oiKyrV4u2s30l3QxzGnP4ZzNsn1lgclmEVTzJFEVBm5r6yB9FvZCamJgQFBREWFiYwT7r1q0jMzOTAQMGkJ6eTsOGDdm0aRMnTpxgxIgRDBo0iIMHDxapDK1WS69evdBoNBw4cIAlS5YwefJko3S2traEhYURFRXFZ599xldffcX8+fMBCAwMZOLEifj7++t/hQsMDDTKIzU1lY4dO+Lo6EhERATr1q1j+/btjBkzxiDdzp07iYmJYefOnSxfvpywsDCjLwBFpSgKPXr0IDExkd27d7Nt2zZiYmLyrF+uefPmsXTpUr755hv27t1LYmIiGzZsKLSs33//nXXr1rFw4cIS1VUIUTbKqi2Q9kDag9Jk8shKekKYV6uG14oVxAUHk3k2hrigwXguD8PUxaXwnd0b6hZl/WEY7PscnH2hft7di+YacwJrBLL46GJWnlxJR++OpXwkQjw8Sloapxs0fOTl1jh8CFURhyUMHTqUjz/+mF27dtG2bVtANySiV69eODo64ujoyJtvvqlPP3bsWDZv3sy6deto2rRpoflv376d6Ohozp07h7u7OwAffPCB0bju6dOn6//v7e3NxIkTCQ8PZ9KkSVhaWmJjY4OJiQmurq75lrVq1SrS0tJYsWIF1tbWACxYsIBu3boxd+5cXO5enxwdHVmwYAEajQZfX1+6dOnCjh07GD58eL55JyUlYWNjo39uY2PD5cuX2b59O8eOHSM2NhYPDw8AVq5cib+/PxERETRu3Ngor9DQUKZMmULv3r0BWLJkCVu2bCnwfbxx4wbBwcF8++232NnZFZhWCPF4Kau2AKQ9kPag9EjPUB7MfSrj9e1KTCq6kXnuHOcHDiLr0qWi7VznFWh59w9q03iIO5Bv0txFWI9dP0bk1cgHrrcQ4j++vr40b96cpUuXAhATE8OePXsYOnQooOvCnz17NnXq1MHJyQkbGxu2bt1KXFxckfKPjo7G09NT3/ABNGvWzCjd+vXref7553F1dcXGxoYZM2YUuYx7y6pbt66+4QNo0aIFWq2W06dP67f5+/uj0Wj0z93c3LhaSO+2ra0tkZGR+se+ffv0ZXp4eOgbPgA/Pz8cHByIjo42yicpKYmEhASD98DExIRGjRoVWP7w4cPp378/rVq1KjCdEEKUlLQH0h4URHqG8mHm6Yn3ypWcDx5C1oULnBs0CK+wMMw8PQvfue00uHYKTm2CtQNgxE5wMN6vvGV5ulbpyg9nfmBF1ArqVahX+gcixEOgsrSkxuFDZVJucYSEhDBmzBgWLlzIsmXL8PLyon379oCuC3/+/PmEhoZSu3ZtrK2tGT9+PJmZmUXKO68hGiqVyuD5gQMH6Nu3L7NmzaJDhw7Y29uzdu1a5s2bV6zjUBTFKO+8yjQ1NTV6TavVFpi3Wq2matWqRS6zoLqUxO+//85PP/3EJ598os9fq9ViYmLCl19+qf+yIoR4/JRVW5BbdnFIeyDtQX6kZ6gAppUq4bVyBWbe3mTHJ3B+UBAZ/8YWvqNaDb2+BJfakHod1vSDjJQ8kw6sORCQRVjFk0WlUqG2snrkj+JedPv06YNGo2H16tUsX76cIUOG6PPYs2cP3bt3Z+DAgdStWxcfHx/OnDlT5Lz9/PyIi4sjPj5ev23//v0Gaf7880+8vLyYNm0ajRo1olq1akYzGpmZmZGTk/+EK7llRUZGcufOHYO81Wo11atXL3KdiyP3+C5cuKDfFhUVRVJSEjVr1jRKb29vj5ubGwcO/Ncbnp2dzaFDBX9R2r9/v8Evke+++67+18mePXuW3gEJIUpdWbUF0h5Ie1CaJBgqhKmrK54rlmNWtQrZV65wPiiIjKL8gZhZQ781YF0BrpyAH0ZAHhF5NcdqNK/YHK2iZfWp1Q/hCIR4dtnY2BAYGMjUqVOJj48nODhY/1rVqlXZtm0b+/btIzo6mpEjR3L58uUi5x0QEECNGjUICgri6NGj7Nmzh2nTphmkqVq1KnFxcaxdu5aYmBg+//xzoxtIvb29iY2NJTIykuvXr5ORkWFU1oABA7CwsGDw4MGcOHGCnTt3MnbsWAYNGqQfH17aAgICqFOnDgMGDODw4cP89ddfBAUF0bp163yHOowbN44PP/yQDRs2cOrUKUaNGsWtQpYpqFmzJrVq1dI/KlWqhFqtplatWjg6Oj6EIxNCPIukPSi5p709kGCoCEwrVMBrxQrMa9Qg5/p1zgcNJv3UqcJ3dPCAvqtAYwanf4Hf38szWZCfbpptWYRViNIXEhLCzZs3CQgIwPOeYa4zZsygQYMGdOjQgTZt2uDq6lqslbHVajUbNmwgIyODJk2aMGzYMGbPnm2Qpnv37kyYMIExY8ZQr1499u3bx4wZMwzS9O7dm44dO9K2bVucnZ3znM7VysqKLVu2kJiYSOPGjXn55Zdp3749CxYsKN6bUQy5U7k6OjrSqlUrAgIC8PHxITw8PN99Jk6cSFBQEMHBwTRr1gxbW1vp3RFCPDakPSiZp709UClFnZvwMZecnIy9vT1JSUkPbQaK7Js3uRAyjPSoKNT29nh+8w2WtfwL3/FoOGy4u0pxzy+hruFUhIqi0PPHnsQkxfBmozcZ7D/4IdReiJJJT08nNjaWypUrY2FhUdbVEaLAc/LixYt4eHg81LZAiGeVtAficVPQOVnU2EB6horBxNERz7BlWNStgzYpibghQ0iLjCx8x7qB8PwE3f9/GgsXIgxeVqlUDPIbBMgirEIIIYQQQjwqEgwVk8bODs9vlmLZsCHa27eJGxpC6t9/F75ju7ehRmfIyYC1/eHWBYOX712EdUfcjodUeyGEEEIIIUQuCYZKQGNjjedXX2L13HNoU1OJGz6COwfyX08I+G+GuQr+cOcqrO0Hmf/NBGJhYkFgDd3wuRVRKx5m9YUQQgghhBBIMFRiaisrPJYsxvr551HS0rgw8lVS9uwteCdzW+i/FqzKw+XjsGGkwQxz+kVYr8kirEIIIYQQQjxsEgw9ALWFBe4LF2DTpg1KRgYXR43i9u87C97JwVM3w5zaFKJ/hl0f6F8qb1meLj5dAOkdEkIIIYQQ4mGTYOgBqc3Ncf/8M2xfeAElK4uLr79O8tatBe/k+Rx0+0z3/z8+huPr9S/lTqSwI24Hl1IuPaxqCyGEEEII8cyTYKgUqMzMqDT/U+w6d4bsbC5NeIOkX34peKf6A6D5WN3/N46Ci7pVee9dhHVV9KqHXHMhhBBCCCGeXRIMlRKViQkVP/4I++7dISeH+P+bxK0NGwveKWAWVO/43wxzyfHAf71DP5z5gZTMlIdccyGEEEIIIZ5NEgyVIpVGg9ucD3B45WXQakmYOpWb332X/w5qDfT6CpxrQsplWNMPMlNpUbEFVeyrcCfrDj+c+eHRHYAQQgghhBDPEAmGSplKrcZ11iwc+/cHReHy2++QuKqA4W4WdtBvDViWg4RI2PgaKkWRRViFeAy0adOG8ePH6597e3sTGhpa4D4qlYqNGzc+cNmllc/DNHPmTOrVq1dgmuDgYHr06PFI6iOEEA+LtAcFe5LbAwmGHgKVWo3LjOmUCw4G4Mp773NjWVj+O5SrDIHf6maYi9oIf3ykX4Q1/k68LMIqRDF169aNgICAPF/bv38/KpWKw4cPFzvfiIgIRowY8aDVM5BfA5KQkECnTp1Ktaz7hYWFoVKpjB5ff/31Qy33XufOncuzDps3b35kdRBCPL2kPSiaZ7k9MHmouT/DVCoVFSZPQmVmxo0vv+Tq3LkomZmUH5nPH453C+j6Kfw0FnbNwcK5Bn1q9GHJ0SWsiFpBB+8Oj/YAhHiChYSE0KtXL86fP4+Xl5fBa0uXLqVevXo0aNCg2Pk6OzuXVhUL5erq+kjKsbOz4/Tp0wbb7O3tH0nZ99q+fTv+/v765+XKlXvkdRBCPH2kPSi6Z7U9kJ6heyhahbSUzFLLT6VS4TxhPOXHjgHg2vz5XPtiAYqi5L1DgyB4brTu/xteI9DeH1O1qSzCKkQxde3alQoVKhAWFmawPTU1lfDwcEJCQrhx4wb9+vXD3d0dKysrateuzZo1awrM9/5hEWfOnKFVq1ZYWFjg5+fHtm3bjPaZPHky1atXx8rKCh8fH2bMmEFWVhag+yVu1qxZHD16VP8LWG6d7x8Wcfz4cdq1a4elpSVOTk6MGDGClJT/JljJHX7wySef4ObmhpOTE6NHj9aXlR+VSoWrq6vBw9LSEoC4uDi6d++OjY0NdnZ29OnThytXruSbV05ODm+88QYODg44OTkxadKk/K9393FycjKog5mZWZH2E0KIgkh7IO1BYSQYuseRbXGsefcvLp6+WWp5qlQqnEePxvmNNwC4vnAh1z6dn/8J8cK7UDUAstMo/8OrdPVoB8DKqJWlVichHpSiKGRl5DzyR1EvpCYmJgQFBREWFmawz7p168jMzGTAgAGkp6fTsGFDNm3axIkTJxgxYgSDBg3i4MGDRSpDq9XSq1cvNBoNBw4cYMmSJUyePNkona2tLWFhYURFRfHZZ5/x1VdfMX/+fAACAwOZOHEi/v7+JCQkkJCQQGBgoFEeqampdOzYEUdHRyIiIli3bh3bt29nzJgxBul27txJTEwMO3fuZPny5YSFhRl9ASgqRVHo0aMHiYmJ7N69m23bthETE5Nn/XLNmzePpUuX8s0337B3714SExPZsGFDkcp76aWXqFChAi1atGD9+vWF7yCEKHNl1RZIeyDtQWmSYXJ35eRoOfP3FdKSM/kp9AhNulWmYUdvVGpVqeRffsRwVGamXP1wLje++golM5MKb01Gpbovf40JvLwUvn4Brp9m0JmDbDCD7XHbuZRyiUo2lUqlPkI8iOxMLV+O2/3Iyx3xWWtMzTVFSjt06FA+/vhjdu3aRdu2bQHdkIhevXrh6OiIo6Mjb775pj792LFj2bx5M+vWraNp06aF5r99+3aio6M5d+4c7u7uAHzwwQdG47qnT5+u/7+3tzcTJ04kPDycSZMmYWlpiY2NDSYmJgUOg1i1ahVpaWmsWLECa2trABYsWEC3bt2YO3cuLi4uADg6OrJgwQI0Gg2+vr506dKFHTt2MHz48HzzTkpKwsbGRv/cxsaGy5cvs337do4dO0ZsbCweHh4ArFy5En9/fyIiImjcuLFRXqGhoUyZMoXevXsDsGTJErZs2VLg+2hjY8Onn35KixYtUKvV/PTTTwQGBrJ8+XIGDhxY4L5CiLJVVm0BSHsg7UHpkWDoLo1GTa//a8gfa//h1L4EDv4US0JMEgFD/LC0KZ3uOafgYFRmZlx59z0Sly9HycrEZfp0VOr7Ougs7KH/WviqHdUuHaNZlVrs1yazOno1/9f4/0qlLkI87Xx9fWnevDlLly6lbdu2xMTEsGfPHrZu3QrouvA//PBDwsPDuXTpEhkZGWRkZOgbl8JER0fj6empb/gAmjVrZpRu/fr1hIaGcvbsWVJSUsjOzsbOzq5YxxIdHU3dunUN6taiRQu0Wi2nT5/WN37+/v5oNP99OXBzc+P48eMF5m1ra2tw87D67vUoOjoaDw8PfcMH4Ofnh4ODA9HR0UaNX1JSEgkJCQbvgYmJCY0aNSrwF9zy5cszYcIE/fNGjRpx8+ZNPvroIwmGhBClQtoDaQ8KIsHQPUzNNLQPqknFqvb8seYf4k4m8t3sCDoMr4WrT+ncQFauf39UpqZcfvsdbq5eg5KVheusWcYBUTkf6LMCVvYkKP4s+10r8P2Z73mt7mvYmNnknbkQj4iJmZoRn7Uuk3KLIyQkhDFjxrBw4UKWLVuGl5cX7du3B3Rd+PPnzyc0NJTatWtjbW3N+PHjycws2n2DeV3Q7+/pPXDgAH379mXWrFl06NABe3t71q5dy7x584p1HIqiGPci51Gmqamp0WtarbbAvNVqNVWrVi1ymQXVpbQ899xzj3QGIyFEyZRVW5BbdnFIeyDtQX7knqE81GxekZffaoSDixUpNzPY8MlhIrfHFXl8amEcX3kFtzkfgFrNrXXrSZgyBSU7j7WEKreCzh/TIi2dKpmZsgireGyoVCpMzTWP/FHci26fPn3QaDSsXr2a5cuXM2TIEH0ee/bsoXv37gwcOJC6devi4+PDmTNnipy3n58fcXFxxMfH67ft37/fIM2ff/6Jl5cX06ZNo1GjRlSrVo3z588bpDEzMyMnJ6fQsiIjI7lz545B3mq1murVqxe5zsWRe3wXLlzQb4uKiiIpKYmaNWsapbe3t8fNzY0DBw7ot2VnZ3Po0KFil33kyBHc3NxKVnEhxCNTVm2BtAfSHpQmCYby4VTJhlemNKJqowpotQp/rj/L5i9PkJFWOgugOvToQaVPPgaNhqQffyJ+0iSUvGb5aDQUVZORDEy+DcCqE8tkEVYhisjGxobAwECmTp1KfHw8wXfX/gKoWrUq27ZtY9++fURHRzNy5EguX75c5LwDAgKoUaMGQUFBHD16lD179jBt2jSDNFWrViUuLo61a9cSExPD559/bnQDqbe3N7GxsURGRnL9+nUyMjKMyhowYAAWFhYMHjyYEydOsHPnTsaOHcugQYP0QyJKW0BAAHXq1GHAgAEcPnyYv/76i6CgIFq3bk2jRo3y3GfcuHF8+OGHbNiwgVOnTjFq1Chu3bpVYDnLly9n9erVREdHc/r0aT755BM+//xzxo4d+xCOSgjxrJL2oOSe9vZAgqECmFmY8GKIP636VketUfHvkWt8N/svrsXdLpX87Tp3plLofDA1JfnX37j0xhsoeXXJdviArs6NcczJIT79Or//U7TZOIQQuqERN2/eJCAgAE9PT/32GTNm0KBBAzp06ECbNm1wdXUt1srYarWaDRs2kJGRQZMmTRg2bBizZ882SNO9e3cmTJjAmDFjqFevHvv27WPGjBkGaXr37k3Hjh1p27Ytzs7OeU7namVlxZYtW0hMTKRx48a8/PLLtG/fngULFhTvzSiG3KlcHR0dadWqFQEBAfj4+BAeHp7vPhMnTiQoKIjg4GCaNWuGra0tPXv2LLSs999/n0aNGtG4cWPWrl3L0qVLDcaNCyFEaZD2oGSe9vZApZTW2K8ylpycjL29PUlJScW+GS2XoiikZGRja2Fq9NqVc8ls+eoEt2+kozFR0zKwGn7PVyyVsZK3d+7k0uvjULKysGndmkqff4ba3NwwUdotFq5szRJzLXW1Jnw7cD+YWjxw2UIUJj09ndjYWCpXroyFhZxzouwVdE5evHgRDw+PB2oLhBB5k/ZAPG4KOieLGhuUqGdo0aJF+kIbNmzInj178k27d+9eWrRogZOTE5aWlvj6+urnVM8VFhamX2Dq3kd6enpJqldiKw+cp8P8P4i8cMvoNRdvO/pMbYx3nfLkZGvZteo028OiyEx/8CFrtm3b4r54MSpzc1J27+biqNFo09IME1k6ENjlG0wVhaPqbCI3BMPTEccKIYQQQghRJoodDIWHhzN+/HimTZvGkSNHaNmyJZ06dSIuLi7P9NbW1owZM4Y//viD6Ohopk+fzvTp0/nyyy8N0tnZ2ekXmcp9PMpfHbJytHx74DzxSem8smQfK/afM5owwcLalM6v1qZZryqo1Cr+OXiF9R/+TWL8nXxyLTqb51vg8b//obK05M6ff3Lh1dfQpqYapClfqRFdXJ4DYOW1v2Dv/LyyEkIIIYQQQhRBsYOhTz/9lJCQEIYNG0bNmjUJDQ3Fw8ODxYsX55m+fv369OvXD39/f7y9vRk4cCAdOnQw6k1SqVS4uroaPB4lU42a9a81p6O/K1k5Cm//eJJxayO5k2HY86NSq2jwohc9JtTH2t6Mm5dTWfdhBKcPFv1Gu/xYP9cUz6+/Qm1tTerBg8QNH0FOSopBmkHPTQJgu7UVl3bPhlO/PHC5QgghhBBCPIuKFQxlZmZy6NAhXnzxRYPtL774Ivv27StSHkeOHGHfvn20bm04L31KSgpeXl64u7vTtWtXjhw5UmA+GRkZJCcnGzwelJ2FKYsHNmB6l5po1Cp+OhpP94V/cvaq8YQJFas50GdaE9x9HcnO1LJ9WRQ7V50iO6vgKRELY9WwIZ5Lv0Fta0vaoUPEhYSQc8+xVXesTjO3ZmhVKlbb2cD3w+FywYtoCSHE0+r+tuD27dKZ4EYIIcSzoVjB0PXr18nJyTGaus/FxaXQKQjd3d0xNzenUaNGjB49mmHDhulf8/X1JSwsjJ9++ok1a9ZgYWFBixYtCpzjfc6cOdjb2+sf966K+yBUKhXDWvqwdsRzuNiZc/ZqCi8t+JMfIy8ZpbWyM6Pb6/Vo3MUbVBC1J57vPzpE0rVU44yLwbJuXTyXLUNjb0/60WPEBQ8h++ZN/etB/kEAfG9vT0p2KqzpBylXH6hMIQrzlMy1Ip4C956L97cFfn5+ZVgzIZ4N0h6Ix0VpnIslmkDh/hnUirIC7Z49e/j7779ZsmQJoaGhBtMFPvfcc/qFrlq2bMl3331H9erV+eKLL/LNb8qUKSQlJekf9y4EVRoae5dj09iWNK/iRGpmDuPWRvL2jyfIyDbs+VGrVTTp5kO3sXWxsDHl+oUUvpsdQcyRBwtOLGv547liOZpy5UiPitIFRDduANCiYgt87H24g8IGFy9IugDhAyHbeD56IR5U7irWqakPFuQLUVpyV4XXaDRGbUFUVFQZ106Ip5dGowH++xsUoqzlfjfJ/a5SEibFSVy+fHk0Go1RL9DVq1cLXeipcuXKANSuXZsrV64wc+ZM+vXrl2datVpN48aNC+wZMjc3x/z+6adLmbOtOStDmjJ/2z8s2HmWFfvPc/RiEosGNKCSg6VBWk8/JwKnNWbr1ydJiEli8/9OULe9B816VkFjUrLlnCxq1MBrxXLODxlCxunTnA8ajOeypZhWqMAgv0HM2j+LVeXK0+/mTUwuHISfx0OPRVAK030LkUuj0eDg4MDVq7oA38rKqlSmlBeiJLRaLdeuXcPKygoTExNUKpVBW1AaQ6aFEHkzMTHBysqKa9euYWpqiloty1WKsqEoCqmpqVy9ehUHBwd9oF4SxQqGzMzMaNiwIdu2bTNYOGnbtm107969yPkoipLnqrr3vh4ZGUnt2rWLU72HQqNW8WaHGjTwcmBC+FGOXrhFl8/3EBpYjzY1KhiktXG0oPsb9Tmw8V8it8VxdMcFrsQm8eKwWtiWK9nMeOZVq+K1YgVxwUPIjIkhblAQnsvD6OrTlc8Pf86ltKv83nYcL255H46uhgq+0GJcaRy6EHq5E5rkBkRClCW1Wo2np6cE5UI8YiqVCjc3N2JjYzl//nxZV0cIHBwcHnjStWIvuhoeHs6gQYNYsmQJzZo148svv+Srr77i5MmTeHl5MWXKFC5dusSKFSsAWLhwIZ6envj6+gK6dYfGjx/P2LFjef/99wGYNWsWzz33HNWqVSM5OZnPP/+clStX8ueff9KkSZMi1as0Fl0tzIXEVEatOszxS0moVDC2XTXGta+GRm3cIP8beY0dy6PJTMvGwtqUgKF+ePk7lbjszAsXiBscTFZ8PKbu7niGhfHltQ3879j/qOtcl2/LPQ+bJwMq6LcGanR6gCMVIm85OTlkZWWVdTXEM87MzCzfX6Rl0VUhHj6tVitD5USZMzU1LbBHqKixQbF6hgACAwO5ceMG7777LgkJCdSqVYtff/0VLy8vABISEgzWHNJqtUyZMoXY2FhMTEyoUqUKH374ISNHjtSnuXXrFiNGjODy5cvY29tTv359/vjjjyIHQo+KRzkr1r3ajPc2RbHqYByf7zjDkbibhAbWw8nGcMieTz1nnCrZsOWrE1yLu82mBUdp1Mmbxl0ro84jeCqMmYcHXitXcD54CFkXLnA+aBCvLJnPUvVSjl47ytFGb1K3YTAcCoPvh0HINnCRG4lF6dJoNA/UFS2EEOLJp1arH+lakEI8TMXuGXpcPYqeoXttOHKRqT+cIC0rBzd7Cxb0b0BDL0ejdNlZOfy5/iwndutmo6tUw4EXhvpjbV+y+52yrlwhbnAwmefOYVKhAhvG1Wdlyg46eHfgk+fnwMqecG4POHjC8J1gXf6BjlMIIZ4k0jMkhBACih4byJ1vJdSzvjsbR7fAx9mahKR0Av+3n2V/xhpN8WdiqqF1vxq8EOKHibmGS6dv8d3sCC6dvplPzgUzdXHBa+UKzKpWIfvqVbrNO4jHNYVt57cRn3YN+qwAR2+4FQfhgyBburGFEEIIIYTIiwRDD6CGqy0/jXmeLrXdyNYqzPo5ijFrjpCSkW2UtnpjV/pMaUS5itakJmfyY+gRDm0+h6ItfsecibMzXitWYO7rC4m3eG+NCo/LOayOXg1W5aBfOJjbQdw++GUCPB2df0IIIYQQQpQqCYYekI25CQv61+ftrn6YqFX8ciyBlxbs5Z8rxqugO7pa8/LkRtR4zhVFgQMb/+WXRcdITyn+Dekm5crhFbYMC39/rO5k887qHA7tDiclM0U3o9zLS0GlhiPfwoFFpXGoTyZtDqRck4BQCCGEEEIYkXuGStGh8zcZs/owCUnpWJpq+KBXLXrWdzdKpygK0fsS+GPtP+RkabEpZ06H4bVwrWxf7DJzbt8mbthw0o8eJdUczs8MolfPKboX9y+ELVN1QVH/76DaCw96iI+fjBRIunj3ceHu4+7zWxcg+RIoOVDBD7ovhEoNyrrGQoiHSO4ZEkIIAUWPDSQYKmU3UjIYHx7JnjPXARjQ1JO3u/lhbmI8A9f1i7fZ/L8TJF1LQ61R0bxXVeq0cy/22hk5KXc4EtQb66jzpJupqPr1MmybNNX1hvw0Fo6s1A2bC9mm6zV6Umi1cOeaYZBzKzfYidP9m1aMe69UGnh+PLSeDCYPd8FeIUTZkGBICCEESDBUpnXJ0Sp8tuMMX/x+BkWBOu72LOzfAI9yVkZpM9Oy+X1lNDGHrwFQpYEzbQfVxNyyeLOepybfZEtga3xjs9Cam+G9ZAnWzZrpJlBY0V13/5CjNwz7HaxLvt5RqcpK1/Xc3Ioz7t3J7dXJKcIEEOb24OAB9u53H3f/7+Cp+1dtqluD6cT3uvTONaHHQqjU8OEenxDikZNgSAghBEgwVNbVAWDX6auMD4/kVmoW9pamzA+sSztfF6N0iqJwbOdF9n1/Fm2Ogr2zJR1G1MLZw7ZY5S06GIrDrC+p/6+Cytwc9wVfYNOyJdy5Dl+11QUdXs/DoA1gYlZah5k3RYHUxDyGrsX9F/TcuVZ4Pio12Lr9F+DYu98NfO55blHE4YVRP8Evb+jKVamhxTho/RaYyloJQjwtJBgSQggBEgyVdXX0Lt5MZfSqwxy9mATAmLZVmfBCdTR5LLx6OTaJLV+dICUxA42JmlZ9q1OzhVuRh81dT7tO57UvMPb7DBqdVVCZmlLps8+wbdcWrkTBNy9AZgo0DIauoVDM4XgGsjPhdnzeQ9dyH1mphedjaqULbAx6djz/C3ps3UBjWvJ63i81EX6bBMfX6Z47+0L3ReAuvURCPA0kGBJCCAESDJV1dQxkZOcw+5doVuw/D0DzKk583q8+5W2M71tJT8lie1gU50/cAKDGc6607lcDU3Pje47yMn3vdDb9s5EPtjtT+fBlMDGh0rx52HV4EU5vhjV9AQU6zoXnXs0/o7RbeQ9dy912O0GXT2FsXAyHrhkEPh5g6fhgQVlJRW+CTRPgzlVdL1Hz16HNFOklEuIJJ8GQEEIIkGCorKuTpx8jLzHlh+OkZubgYmfOwv4NaORdziidolU4vPU8B3/8F0WBchWt6TC8FuXcrAst43TiaV7++WVMFTXfHXmerC2/g0ZDxQ8/xL5bV/jzM9j2ti4A6PaZrmfm3qFrucFORnLhB6Qxz2fo2t1/7So93sFFaiJsfguOheuel6+u6yXyaFy29RJClJgEQ0IIIUCCobKuTr7OXLnNa6sOc/ZqCiZqFW918iXk+cp5DoW79M9Ntn59ktTkTEzMNbQdWIPqjV0LLWP41uEcSDjAYN9B9N94i6QNG0Clwu2DD3Do0R02joKjqwuvrGW5e4KcPO7ZsSoP6qdgqapTv8Km8ZByRRckNhsDbaeCqWVZ10wIUUwSDAkhhAAJhsq6OgW6k5HNWz8c5+ej8QB0quXKRy/XwdbC+N6Y1ORMtn5zkkundVNI12pViRavVMXENP9hc3su7mHUjlHYmNqwrfdWbs/+hFvffQcqFa4zZ+LYuzusHwqXj+cR5OTes1MJzArviXpqpCbC5ilwbK3uuVM16LEIPJqUbb2EEMUiwZAQQgiQYKisq1MoRVFYeeA8722KIitHoXJ5axYPbICvq3HdtVqFiE2x/P3rOQCcPW3pMLwW9s5591xoFS09fuxBbFIskxtPZkDNAVx5fzY3V60CwGX6dMoNHPDQju2Jdvo3+Hk8pFwGVNBsNLSbLr1EQjwhJBgSQggBRY8NnoIxTk8mlUpFUDNvvhvZjIr2FsRev0OPhX+y/tBFo7RqtYqmL/nQdWxdLKxNuRZ3m+8+iODfyLynplar1AzyGwTAt9HfolW0uEyfRrkhQwC48v773Fi67OEd3JOsRicYfQDq9gcU2L8AljwPcQfLumZCCCGEEKKUSTBUxup7OvLL6y1pXd2Z9Cwtb647ypQfjpGelWOU1svfiT7TGuPqY0dmWja/LTnOn+vPkJOjNUrbzacbDuYOXEq5xO8XfkelUlFh0v/h9OpIAK5+9BHXPv8CJbMIi5o+aywdoedi6P+dbmrvG2dhaQfYPBUyizBduBBCCCGEeCJIMPQYcLQ2Y1lwYyYEVEelgjV/XeDlJfu4kGj8xdu2nAU9JjagbnsPACK3X2DjvCOk3Ew3SGdhYkFgjUAAVpxcAeh6oyqMH0/518cCcH3RImI6d+HWxo0oOcbB1zOvegcYdQDqDQAUOLBQ10t0fn9Z10wIIYQQQpQCCYYeE2q1inEB1Vg+pAmOVqacuJRMl8/3sD3qilFajUbN869Uo9PI2phZaLj8bxLhsyOIi7phkK6vb19M1aZEXovk2LVj+u3Oo0bhNvt9NOXLk3XxIglvTeHfbi+RvHkzita4l+mZZumgm0ih/zqwrQiJMbCsk26yBeklEkIIIYR4okkw9JhpVd2ZX15vSX1PB5LTsxm24m/mbj5Fdh5D4XzqO9NnWmPKe9iQnpLFz18c5eDP/6LV6ubEKG9Zns6VOwOwMmqlwb4OvXtTddtWKrw5EY29PZn//sul8ROI7f0yt3fu5CmZV6P0VH8RRu2H+gPR9RItgiUt4Py+sq6ZEEIIIYQoIZlN7jGVma1lzm/RLPvzHADP+ZTj8371qWBrvIhpdlYOe787w8k9uqm63X0deWGoP1Z2ZvpFWDUqDb/1+g03Gzej/XNSUkgMW07ismVo79wBwLJuXZzHj8O6WbOHd5BPqjPb4efXIfkSoIKmI6H928/WVORCPKZkNjkhhBAgs8k98cxM1LzTzZ8F/etjbabhwL+JdP18L3/FJhqlNTHV0GaALwFD/DAxU3Px1E3CZ/9F/Jmb1ChXg6ZuTclRclh9Ku+FVjU2NjiPGU2V7dtwGj4MlYUFaUePEjdkKOcHB5N6+MjDPtwnS7UAXS9RgyBAgYNLYHELOPdnWddMCCGEEEIUg/QMPQHOXk1h1KpD/HMlBY1axeSONRje0geVSmWUNjH+Dpu/OsHNhDuo1Cqe6+7Dbb9zjPl9DDamNmx/ZTvWpgX3YGRfu8b1L7/i1tq1KFlZAFi3boXz669j6e//UI7xiXV2O/w0DpLvToneZCQEvCO9REKUEekZEkIIAdIz9FSpWsGGjaNb0KNeRXK0Ch/8eoqRKw+RnJ5llLZcRWteeasR1Zu6oGgV9m+I4fZPDlS39CUlK4UNZzYUWp6JszOu06ZSZesWHF55BTQa7uz+g3O9X+bi6+PIOHPmYRzmk6lqAIzaBw0G657/9T9Y3Bxi95RtvYQQQgghRKGkZ+gJoigKqw7G8e7PUWTmaPFysmLRgAb4V7TPM23U3nj2hJ8hJ1uL2i6H9Z6hmLrl8EvPX9CoNUUuN/P8ea4tXEjyz5tAUUClwq5bV5xHj8bMy6s0D/HJdnYH/PT6f71EjYdDwEwwtynTagnxLJGeISGEEFD02ECCoSfQsYu3eO3bw1y6lYa5iZr3uteiT2OPPNNei7vN5q9OkHwtjRxVNvu8NhLStxcveAcUu9yMM2e49sUCbm/dqtug0eDQqxflR72GqZvxxAzPpPRk2DYDDoXpnjt4QveFULlVmVZLiGeFBENCCCFAgqGyrs5Ddys1kwnhkew8fQ2APo3cebd7LSxMjXt8MtKy+X15NP9G6tLeqBjLW/83GDNLkxKVnXbyJNc+/5w7u/8AQGVqikPfvpQfMRwTZ+cSHtFTJmYn/DQWki7onjcKgRfelV4iIR4yCYaEEEKABENlXZ1HQqtVWLTrLJ9u+wetAn5udiwe2AAvJ+Ob9xVFYd+WUxz+8SJqRYOlk4YOQXWwr2CFpY0pGtPi3z6Wevgw10I/I/WvvwBQWVpSbuAAnEJC0Dg4POjhPfkybsO2t+HvpbrnDp7w0gLwaV229RLiKSbBkBBCCJBgqKyr80j9efY6r685wo07mdhamPDJK3Xp4O+aZ9pZGz7CYmcVbDIdDbabWmiwtDHF0tYMCxtT3f9t7v7f1vj/phYa/Wx2d/bv52poKOlHjwGgtrGhXHAw5YIHo7GRnhD+3QU/joWkON3zRkPv9hLZlmm1hHgaSTAkhBACJBgq6+o8cpeT0hmz+jB/n78JwMhWPvxfhxqYaAx7fE4nnmbgD4NpGfsKfhmNyLyTQ0nOALWJCktrUyxszbC0McXCxhSTpKtkHz6AOuEcZlkpmJspVOjRkQqBPbByskWteYYnL8y4DdtnQsTXuuf2HvDSF1ClbZlWS4injQRDQgghQIKhsq5OmcjK0TL3t1N8vTcWgCbe5VjQvz4V7CwM0g3bOoyDCQcJ9g/mjQZvkJGWTdrtTNJTskhLydL9/04WabezSEu5u/121t3XM8nO1JagdgrmVrqep9zgydLmv2Dq3v9b3O2hMjUr+ox3T4zYP+DH0XDrbi9Rw2B44T2weDbPWSFKmwRDQgghQIKhsq5OmfrteAL/t/4YKRnZlLcx54t+9WlWxUn/+h8X/2D0jtGYa8zpXa03/Xz74W3vXeT8szJz7gZImaSlZOX5//SUTO5cvklaciZZGssSHYeJqRqLu8PydMHSPcP17h/SZ2uGuaUJKrXxQrSPnYyUu71EX+me23vAS59DlXZlWi0hngYSDAkhhAAJhsq6OmXu32spjFp1mFOXb6NWwf918GVkKx/UahVaRcuo7aP4M/5PffoWFVvQz7cfLd1bolaV3nA2JSuLxHU/kPD1ctJupZNlao22YmXM23cC7xqk3ck2DqZSMtFmF/+0VKlVWFib6IIka939TRY2ZljamuLp54RbFeP1mMpU7J67vUTndc8bDIYX35deIiEegARDQgghQIKhsq7OYyEtM4dpG4/zw+FLAATUdGHeK3WxtzJFURT2J+xnTfQadl/cjYLuNHC3caevb196VuuJnVnpvY/ajAxurV3L9f99SU5iIgDm1apSfuxYbF94QT8ZA+hmvstKz9EN2btnmJ7+/ylZpN8NnnL/n5meU2gdPP2deK67D86ej9HEBRkpsONd+Ot/uud27vDSZ1C1+OtACSEkGBJCCKEjwZAAdIHF2ogLvPPTSTKztXiUs2TxgIbUqvRfL8nF2xcJPx3OD2d+IDkzGQBLE0u6+nSln28/qjlWK7X6aO/cIfHbVdz45hu0ybqyLPz9cR73OtYtWxoERcWRk639756nlEzSb//3/6SraZw9dBVFqzvVq9R3pkk3H8pVNJ6CvMyc26vrJbp5Tve8/iDoMBssHrPeLCEecxIMCSGEAAmGyro6j50Tl5J4bdUhLiSmYWaiZtZL/vRt7GEQfKRlp/HLv7+w+tRqztw8o9/e2LUx/X3708ajDSbqki3Uer+c5GQSw8JIDFuONjUVAMsGDXAeNw7rpk1KpYx73bqaSsSmWP6JuAIKoIIaTVxp3NUbe2erUi+vRDLv6HqJDi7RPberBN0+g2ovlG29hHiCSDAkhBACJBgq6+o8lpJSs5i4LpLt0VcBaO9bgZbVylPHwwE/NzssTHWztymKwqErh1h9ajW/x/1OjqIbguZm7UafGn3oXa03jhaO+ZZTHNmJidz4+hturlqFkpEBgHXzZjiPG4dl3bqlUsa9blxK4a+fY/k38hoAarUK3xZuNO7sjY2jRSF7PyLn/rzbS6SbFZB6A3W9RJYOZVotIZ4EEgwJIYQACYbKujqPLa1W4X9//MvHW06hveeTN1GrqOFqSx13B+q621Pb3Z7qLrbcSL/Kd6e/Y/0/67mZoVvDyExtRmefzvTz7Yefk1+p1CvrylVu/O9/3Fy3DrKyALBp2xbnca9j4etbKmXc6+r5ZA7++C9xUbr7lzQmamq1qkSDjl5Y2ZmVennFlpkKv78HBxYDCthW1PUSVX+xrGsmxGNNgiEhhBAgwVBZV+exd+JSEtuirnDs4i2OXUzixp1MozTmJmr8K9pRx90Bv0qWJKkj2H7xB6ISo/Rp6jnXo3/N/gR4BWCqNn3gemVevMT1xYtI2rARtLr1jGw7dcR57FjMfXweOP/7xZ+5xYEfY0g4mwSAibmGum3dqfeCJxbWD348D+z8fl0vUWKM7nnd/tDxA7AsnZ45IZ42EgwJIYSAhxwMLVq0iI8//piEhAT8/f0JDQ2lZcuWeabdu3cvkydP5tSpU6SmpuLl5cXIkSOZMGGCQbrvv/+eGTNmEBMTQ5UqVZg9ezY9e/Yscp0kGCo5RVG4dCuN4xeTOHoxiWMXb3H8YhK3M7KN0tqaa/Bxv0GO7V4uZh4gR9GlcbZ05pUar/BK9Vcob1n+geuUERvL9S8WkPzrr7oNajX2L71E+TGjMXN3f+D876UoCheiEjn4079cPX8bAHMrE+oFeFKnnTtmFqVzn1SJZabCztmwfyG6XiK3u71EHcq2XuLhu3wCTqwH6wrQaAiYlmzNrmeJBENCCCHgIQZD4eHhDBo0iEWLFtGiRQv+97//8fXXXxMVFYWnp6dR+iNHjnDq1Cnq1KmDtbU1e/fuZeTIkcyfP58RI0YAsH//flq2bMl7771Hz5492bBhA2+//TZ79+6ladOmpXrAomi0WoXYG3fuBki63qOT8UmkZ2n1aVQmyZg6/IV5uYOg0QURGpUJbdwDGFJ7IHXK1ynx7HC50k+f5trnX5CyY4dug4kJDi/3pvxrr2Hq4vJAed9PURRij17n4E//khh/BwBLW1MadPCiVutKmNy9p6rMxB2EH0fBjbO653X7Qcc50kv0tMlKg5Mb4e+lcPGv/7bbVYL2b0PtPqAuvbXAnjYSDAkhhICHGAw1bdqUBg0asHjxYv22mjVr0qNHD+bMmVOkPHr16oW1tTUrV64EIDAwkOTkZH777Td9mo4dO+Lo6MiaNWuKlKcEQw9fdo6Wf66k6IbWXdL1IJ1KuE22NgsTuxOYOe5HY3Ven94ab5qUe4me1bvQwNMZe8uSDztLO36ca6GfcedP3UKxKjMzHPv1w2nEcEycnB742O6l1Sqc/fsKf/0cS9K1NACsHcxp1Nmbmi3c0GjK8ItoVhr8/v5/vUQ2rtAtFGp0Krs6idJx/Qz8vQwiV0H6Ld02tQlU7wgJRyHpgm6bax3d4rw+rcusqo8zCYaEEELAQwqGMjMzsbKyYt26dQZD2MaNG0dkZCS7d+8uNI8jR47QqVMn3n//fYYNGwaAp6cnEyZMMBg6N3/+fEJDQzl//nx+WRmQYKhspGflEJ2QzLG7PUiHE05wme2Y2B1FpdYNodNmW5N1qwmuqrbUc/Omjrs9dT0c8K9oh5VZ8YagpUZEcPWzz0j7+xAAKisryg0ahNPQIWjsS3dNnpwcLaf3Xybil1hSbupmurMrb0GTrpWp1sQVtfrBer0eyP29RHUCoeOHYFWu7Ookii87E079rAuCzu35b7u9JzQcrFtvytYFstJ1U67vmQcZuvW5qN4RXngXnGuUTd0fUxIMCSGEgIcUDMXHx1OpUiX+/PNPmjdvrt/+wQcfsHz5ck6fPp3vvu7u7ly7do3s7GxmzpzJjBkz9K+ZmZkRFhZG//799dtWr17NkCFDyLg73fL9MjIyDF5LTk6WBvAxkZKRzf7Y86z7Zz2Hb/5KBroZ2xRFTfZtf7ISm5GTVhm1SkV1F1vquNtT++4sdr6udpiZFNzzoigKd/7cx7XQUNJPnABAbWuL09AhOA4KQmNTuoupZmflcHJPPId+O0fabd1Md45u1jTtVhmf+s4PPBSwxLLS/ruXSNGCjQt0nQ++XcqmPqLobp6DQ2Fw5Fu4o5vmHZUaqnWARkOhantQ5zEs884N2D0X/v4GtNmg0uiCpjZTwKbCozyCx8b9bcGlS5fw8/OTtkAIIZ5xDzUY2rdvH82aNdNvnz17NitXruTUqVP57hsbG0tKSgoHDhzgrbfeYsGCBfTr1w/QBUPLly/XPwdYtWoVISEhpKen55nfzJkzmTVrltF2aQAfL9nabHZd2MWKk99y5Noh/XZVZkXSbjxHVlI9UP6bytpMo6amm26K7zru9tRxd6BqBRs0efTCKIpCyu+/c+2zz8n45x8ANI6OOI0YgWO/vqgtSnfdoKyMHI7tvMCRrXFkpN6dOMLTlqYv+eDpX67sgqILEbpeouu694DyNcC/B/h1hwp+UFb1EoZysuHMFt29QGd3oFv9F91Qx4aDoUEQ2BdxcpDrZ2H7O3Bqk+65mQ08Px6eGw1mj8kiwo+ItAVCCCHy8tgOkwN4//33Wblypb4nqSTD5KRn6Mnzz81/WHNqDZtiNpGeowtyLTW2+Ji3RZvcjNMXzUhKyzLaz8pMQ62K9rrgyEPXg+RZzkoffChaLcm//cb1z78g8+75YuLsjNNrr+L48suozEp33aCM1Cwit1/g6I4LZGXcXZC2ij1Nu/tQqXoZTWaQlQ67PtCtS5RzzzTpTlV1QZFfd929JhIYPXpJl+DwCt3jdvx/26u00/UCVe8ImhLeT3d+H2yZBvGHdc9tK0L7Gbphk3n1LD2FpGdICCFEXh7qBAoNGzZk0aJF+m1+fn507969yBMovPfee3zzzTecO3cO0E2gcPv2bX7NnUYZ6NSpEw4ODjKBwlMoKSOJjWc3subUGi6lXAJAhYrW7q0JqNQLVXp1jl/STfN94lISqZk5RnnYW5re7Tmyv7tQrAMu1iYk/fgT1xcuJCte96XTtFIlyo8ejf1L3VCZlO4U2Wm3Mzm85TzHd18i5+4sex41HWn6UhVcKpfROZh2C/7ZAlE/wtntkHPPMFNH7/8Co4oNJDB6mLRaiPld1wv0z2+6YYwAVuWh/gBoGAzlSmndLK0WTv4A22dBUpxum2vtu5MstCmdMp4gcs+QEEIIeARTay9ZsoRmzZrx5Zdf8tVXX3Hy5Em8vLyYMmUKly5dYsWKFQAsXLgQT09PfH19Ad26Q+PHj2fs2LG8//77AOzbt49WrVoxe/Zsunfvzo8//sj06dNlau2nXI42h72X9rL61Gr2xe/Tb69sX5l+vv14qcpLWGisiLmWwtELt/QBUnR8Mpk5WqP8Ktia6yZncLGmSdQeHL7/Fu2N6wBoHBywadsW2/btsG7RArVl6a3XknIzg0O/nSNqbzxare7PqXLd8jTp5kN5d5tSK6fYMm7/Fxid2QbZaf+9Zu/xX2BUqZFM1VxaUq7CkZVwaDncuqdX2+t53TpBNbuBifnDKTsrHf76Ev74BDJ0iwhT7UXdJAsVaj6cMh9DEgwJIYSAR7Do6kcffURCQgK1atVi/vz5tGrVCoDg4GDOnTvHrl27APjiiy/43//+R2xsLCYmJlSpUoXhw4czcuRI1Pd8AVu/fj3Tp0/n33//1S+62qtXr1I/YPF4+jfpX9aeWsuPZ38kNTsVABtTG7pX7U7fGn3xtvfWp83M1nL68u276x/p1kD658pttPedyebZmQy4EkGXkzuwSk3Wb1eZm2PdvDm2Ae2xadOm1KbmTr6eRsSmWE4fvIyiACqo1rACTbr54OBSxvdxZN6BM1t1gdE/WyHrzn+v2VYEv5d0gZFH02dmeFWpURTdTHB/L4XoTaC9O9TTwh7q9tcFQY9yxrfURNj9EUR8dXeSBbXufqQ2U3Uz0z3lJBgSQggBDzkYehxJMPR0SMlM4aeYn1hzag3nks/pt7eo1IL+vv15vtLzqFXGvRhpmTmcjNf1HOUGSLHXdV/41doc/G/E0uzySVpdi8Yp+fp/O6pUWNavj237dti2b4+Zt/cDH0Niwh3++jmWmMNXdUWoVfg2c6Vxl8rYlivdSR1KJDMVYnboAqPTmyHz9n+v2bjoei/8uoNnc9CU7tDCp0pqIhxdowuCcqc4B3BvrLsXyK9H2U5mcCMGts+E6J90z02tdZMsNBsNZqU74+LjRIIhIYQQIMFQWVdHPCCtouVA/AFWn1rNHxf/QLk785aHrQd9a/SlR7Ue2JkV/DknpWVx4lISR+Ju8vupqxy5cAtFq+CdnECzBF1g5H0jzmAfsypVsG3XDtuA9ljUro3qAYaPXYu7zcGf/+X88RsAqE1U+LesRMOOXljbP6ShUsWVlQ7/7tQFRqd+/W94Fejub6nZVRcYebcs+U3+TxNFgQt/6QKgkxv+uyfLzAbq9IGGQ8CtTtnW8X5xB3STLFz6W/fc1g3aTYe6/Z7KXkAJhoQQQoAEQ2VdHVGKLiRfYO3ptWw4u4H/Z+++w6Mo3gCOf/dqeu+FJITQey+iIEVRsQvYsGCv2Av6U7FgRWxgFxuIKHYEQaX3Enpo6b1eyiW5tvv7Y1NJIQkhCTif57knd7dzs3OBJPvevPNOccUshrPOmcmdJ3Nt92vp4t2lSf1kF5fzb1w2qw5msf5oLha7jF+pieGZBzgn6yC9c46hlauLNej8/avWGbkMH47G2LIAJjO+kC2/HCftsEntV6+h7/lhDJgQgZNbBwow7FZIWAsHf4a4P6CsoPqYs7e6f1HPyyHqPNC1boW+Dq+8CPYuUTdHzT5Q/XxQH3UWqM81YHRvv/GdjKKowdvq56vXMgX2hokvqlXtziIiGBIEQRBABEPtPRzhNCi1lfJHwh8sOrSIY6bqtKShQUO5rvt1nBd+HjpN09K6yqwO1h/NYdXBLP6JyybPbMXVWsbg7DhGZh5gWHYcRmv1HlcaFxdcR4/Gfdz5uJ13HlpPz2aPPyUun62/xJOVoK5fMjhp6Te+E/3HhWNw7mDpaA6bug7m4C/qOpjSGqmFRk/ofpE6Y9R5LOg7QOrf6ZK+Ww2A9v1Qvc5K5wy9r1KDoNAzrCqf3QLbPoF1r0N5xSxgl/Ew4UUI7Nm+Y2slIhgSBEEQQARD7T0c4TRSFIUdWTtYdGgR/6T8g1xRtjjYNZip3aZyVcxVeDl5Nbk/h6ywO7mAVYeyWHUwi/gcMzrZTt/c44zI2M852YfwMpuqX6DV4jJkiJpON+589KGhzRp74r48tv4ST15aCQBOrnoGXNCJPmPC0Bs6YNqSww7JmyoCo9+gJKv6mMEdul2oBkZdxoO+9ar0tRurGfb/qKbCpe+uft6vmxoA9ZuqzpSdyUrz1apz2z5WCz5IGhhwA4ydBe5B7T26UyKCIUEQBAFEMNTewxHaSEZJBksOL+HHoz9ispgAMGqNXBR1Edd2v5Yevs0vKXw8p4TVB7NYfSiLnUkFyLJCjCmVERn7GZ19kDBTRq32xu7dcR83Dvdx52Ps0aNqM9jGKLLCsV3ZbPstAVOWWj3PxdPA4EmR9DwnBK2ug5a6lh2QslUNjA7+WnsTUb0rdJ2oBkYxE8+8RfpZB2HnF7DnO7BUVB/UGtT3M+gWiBh5Zs0CNUV+vLo/0cGf1cd6Fxj1IIy8/8z796sggiFBEAQBRDDU3sMR2li5vZwViStYdGgRh/IPVT0/IGBAVQqds675sxZ5JRb+ictm9aEs1h3JpczmINicy7CMg4zOOkD33Hg0NX6EdCHBuI9VCzC4DB6MpG98TZDskDm8NZPtvydSnK+m5bn7ODHkkki6DQtCo+2gQRGom32m7agIjH6BwpTqYzpniJmgBhJdL+i462ls5Wq1tR2fQ/Lm6ue9o9SS2P2vB1e/9htfW0neCn89A6nb1MduQXD+LPX9n2FFFkQwJAiCIIAIhtp7OEI7URSFPTl7WHRoEauSVmFX7ABISIS7hxPtFU0Xry7EeMfQxasLkR6R6JtYJa3c5mDjsVxWH8pi1cFscksseFjMDM06yIjMgwzOPozBbq1qr/HwwO3cc9WNXkePRuvW8AasDrvMwQ3p7PgzkdJCtQ+vQBeGTo6iy8AAJE0Hn5FQFEjfVR0YFSRWH9Ma1RS6npepKXVOzV9v1eryjqsBUOwiKMtXn5O0apGIwbdA1Jj/3ka0iqL+261+rvrfL6AXTJyt/vudIUQwJAiCIIAIhtp7OEIHkFOaw9IjS/nx6I9kl2bX20Yn6YjwiKCLdxe6eFXfwt3D0TbyibgsK+xJNbGqIp3uSFYJBoeNAdlHGJ55gFHZh3Avq96/R9LrcRk+XC3AMPZ89IEB9fZrszrYvyaNXSuTKDerm3f6hrkx7NLORPbxbVIKXrtTFMjcq15YH/gZ8o9XH9Po1eplPS+DbpPAxaftxuWwqVXydnyuVs2r5BEGg25W18x4BLfdeDoquwW2fwZrX4Nyk/pc9PlqkYWg3u06tKYQwZAgCIIAIhhq7+EIHYiiKOSV53HcdJxjpmMcLTjKMdMxjpuOU2Irqfc1Rq2RKM+oquAoxjuGaK9ogl2D6930NSnPzKqDagGG7Yn5IMt0z09ieMYBRmcdIKg4p1Z7p759qwowGLp0qRPkWMvs7PknhdhVyVjL1XLfgVEeDLusM+Hd2zCAOFWKAtkHq2eMcuKqj2l0apnunpdB90vA1ff0jMGUDDu/hN1f1yj+IKnrmgbfqqbznWGpYG2irKC6yILDCkgw4HoY+0yHDhpFMCQIgiCACIbaezjCGUBRFLJKszhacJTjpuMcNalBUrwpnnJHeb2vcdG5qAGSdxeiPaPp4t2FGK8Y/Jz9qgKaArOVfw+r64zWHs7BbLETXpLN8IwDjMo6QLe8pFp96jt1qirA4DxgAJK2+sK8vMTG7lVJ7P0nFbtNrZoX2s2L4ZdFE9S5A6SbNVd2nLpG5+AvkLW/+nlJC5HnqIFRj8ngVv/MWZPJDjj6lzoLdHQVVGzai1sgDJyu3rw6ndo5/ivyE+Dv2XBgmfpY76IWWBj5ABgbTv1sLyIYEgRBEEAEQ+09HOEM5pAdpJekVwVHlbeEwgTssr3e13gYPGqtRYr2iibGKwZnnTubj+dVpdNlFVnwLi9ieOZBRmTsp3/uMfSO6j613t64jRmjrjMaNQqNs1r0wVxoYeeKJA6sT0O2qz+yEX18GXZpZ/zDO2hxgpPJPQaHKmaMMvbUOCBBxKjqwKg5sxBF6bDra9j1FRSlVj/feYw6C9TtImjiGjHhBCnb1SILKVvUx26BMPZp6H8DaDvOPlkiGBIEQRBABEPtPRzhLGSTbSQXJVcHSAXq1+Ti5Kq9jk7k5+xXlWoX7RWNZAvmaIoLa+KKicssxsluYVDWYUZk7Gd4ThyultKq10pOTriOHFmxzmgsOh8fivPL2f5HAnGbM1Fk9Uc3emAAwy6NwjvozCyFDKizD5UzRmk7ax8LH64GRj0vBc+wuq+VZYj/V50FOvwnKGpaIc4+alrXoFvAN/r0v4f/AkVR95pa/ZxalhvAvwdMfFEtstAB1rSJYEgQBEEAEQy193CE/xCLw0JCYUJVul1lsJRWktbga4JdgwlzjUKxBpGV68nRVHfkUh965ar7GY3KOoi/Ob/6BZKE88CBVeuMSp0D2PZ7Akd3ZIGiXoN2GxbEkEui8PA7wzc+NSWrF9wHf1H3NKopdHB1YGRwg93fqHsD1axe12mkOgvUYzLondp06P8ZdqsafK59VV1bBOrs24QXIbhvuw5NBEOCIAgCiGCovYcjCJTaSquLNpgqAqWCY2SX1V/ZTkKDE/6Umf2xlPrTKcPAsKQCRqQmEm1Kr9XWEB2N+7hx2Pqfy544HQl786qOaTQSkkZC0oAk1b2vkVCfk05sIyFVHNPUuF+nnVTjHJVt6mmvkeprU9FXxX3NCf3WaWMpQpNzEClrL1L+cSRJRkK9GTTl+OoS8NRmonFyh37T1LLYAc3faFdooTITrH8Ltn5YXWSh/3Vw/jPgEdIuQxLBkCAIggAiGGrv4QhCgwothVXV7Cor2x0zHcNkMdXbXlE0+OR4M+iInqHHy+iTWYBWrk7L0/n7Yz3nUg4bB5GReVb8ODeLTifjE+qOX7gnfmFu+Ia54RfqhsG546xjOesVJMLfL8L+H9THOmcYeR+MerDNN9wVwZAgCIIAIhhq7+EIQrNUlv+uL0gy28y12rqUKww4rjDkCPSPV3CxVv8I29x80EV3xdApAl2nCPTh4ejDOqENDASNFkUBRVZQFAVFVs8rywooCrJc95gi125X51hlfxX3ZfmE5+ucp542Ne7LigKygnzi62vcl2UF7BZKi6zkZ9uwW+tfr+Xu61QdHFXcPHydO/4Gtmey1J3w1yxI3qw+dvVXiywMmN5mRRZEMCQIgiCACIbaeziC0Cpqlv8+ZjrG3uw49mUfIbs8GUWyorMr9EpSGHJUYfBRBZ/6t00CvR5Dp04YO0dh6Bxd9dUQFYXW7cwtvCDLCkU5ZeSmlpCbWkxeagm5qSWUFFjqba83avENdasVJPmGuqE3in2GWo2iqJvbrvpf9Ya7ft3UIgsxE097kQURDAmCIAgggqH2Ho4gnFYO2cGRvER+O7SbjckHiC88hqxNJ7wkh7A8B6F5EJqnVNwkjLaGf8x1QUEYO3fG0LkzxujOGKLUr1o/vzqbwZ4pys22qsAoN62EvNQS8tPNOOz1zCJJ4OnvjF9ojQApzA13H6d2ff9mm5m9OXvZn7sfT6MnY8PH4u/i327jaTaHDXZ8AWvmQFlFMZCoc2HiSxDc77SdVgRDgiAIAohgqL2HIwhtyuaQ2Z6Yzz+HU9mavovEkj04jMfQOKeiwYFPUWVwBJ1ynYgyGQnJs+JUbG6wT42HB8aoqOogqWJGSR8WhqQ789bjyA6ZgqxS8iqCo9yKW2mhtd72RhcdvqG10+x8gl3RGVp/FklRFNJK0ojNiSU2O5Y9OXs4UnCkVsl2CYn+Af0Z32k8EyImEOzWjP2X2lOZCTa8DVsWgMMCSGqxi/Ofqb9U+ikSwZAgCIIAIhhq7+EIQruSZYWEPDPbk9JZk7SNgwW7yXMcRDKmIUnVP/KuZQqhWd50NwXQ2+xGlxIZj+ws5PQ0df+eekh6PYbICDXNrnMUxsqvUVFoXFza6i22mrJia1VgVBkkFWSakR11fzVKEngFutRKsfMLc8fVy9CsWSSbw8bB/INVgU9sdiw5ZTl12oW6hdLXry9p5jT25uytday3b2/GR6iBUSePTs1/423NlAx/z4Z9S9XHOicYcS+MmglOrfc7WwRDgiAIAohgqL2HIwgdjt0hszs1gxXHN7EjazspZfuwamoHRwCO8iDcy6MZbOvEKNmbruUl+OWlIycnYU1IQCkvb/Ac+pCQOul2hs6d0fr4nFEpdw67TEGmuU6QVF5iq7e9k6u+1gySb5gbPkGuaPUaAPLL84nNjiU2J5Y92XvYn7sfq1x7Rkqn0dHTpyf9AvrR378//QP6E+ASUHU805zJ38l/syppFbuydqFQ/e/W1bsrEyImMCFiAtFeHXyD2bRd8NczkLRRfeziB2OfgoE3t0qRBREMCYIgCCCCofYejiCcEbJK8vn18Ho2pG7hSGEsJUpqreOKIiGXh+Ao7Yyvtif9/fozwllDT3sBoUWZKElJWOLjscbH4ygoaPA8Wk9PDJ07Y4juXD2TFB2NPiQESXtmFC9QFIXSImut4Cg3tQRTVimKXM+vUY2CzcNMtnMKyfoj5LmmkeeSTpmhGABvo3etwKeXby+cdE3bJDa3LJd/kv9hVdIqtmdux6E4qo5FeUZVpdJ19+neMYNQRYHDf8KqZyHvmPqcX1eYMBu6XnhKRRZEMCQIgiCACIbaeziCcEbKK8tjfepWVsdvZG/eTgpsabWOK4oGuTwUu7kzSlk0ka696BcWSL8wT/q6Q2RpDnJiAtbj8VgS4rEej8eWnq5e/NZDMhoxREbWTreLjsYQGYnGqWmBQXsrKi1hx6G9HD6aRHZqIY4cPV4lgRgd9acMalxkfEJdCYv0wy/MHb8wN7yCXNBqNS06v6ncxL8p/7I6eTWb0jdhl+1Vx8LcwpgQMYHxEePp49en4wVGDhvsXKgWWSit2Di464Vw7XctDohEMCQIgiCACIbaeziCcFbILs1me+Z2NqRuYUv6NnIt6bWOK4oGuSwce2lnHOZoNNZIegT50ifUk35hXvQN96SzmxY5JVmdQaoRJFkTE1Gs9RcvQJLQh4aqM0lRlTNKasqdztu7Dd55/RRFIcOcUZXyFpsdy+GCw7UKHQA4a50Z5Dqcngwg2BKF0eRJUYYFU3Yp1DeJpJPwCXatVdHOL8wdJzd9s8ZXbC1mbepaVietZkPaBiyO6hLjgS6BVWuM+vv3R6tpvxk5RVFwmEzYUlOxpaRgTTyObccKbPFxuAwfjt+r37a4bxEMCYIgCCCCofYejiCclTLNmWzL3Ma2jG1sydhGVmlGreOKrMVR1glHaWccpdE4yjrhrDPSK8SDvmFe9Av3pG+YFxE+LkiKjC0tDcvx41jjE7DEV36NRy4sbHAMWm9vDNGdMURGog8KRh8chC4wCH1wEPqgIDSurbdvks1hIy4/rirwic2OJbssu067YNdg+gf0r0p56+rdFZ2m7voXm8VBXnp1ml1eRelvW7mjTlsAVy8jfmFuePo74+JpwNndgItH5c2Is4e+wRmlUlspG9I2sCppFetS11FqL6065uvky7hO4xgfMZ4hQUPqHeupksvKsKWlYU1NxZaSii01Vb1fcZPN9VcydDt/DOHzF7T4vCIYEgRBEEAEQ+09HEH4T0gtTmV75nY1QMrcRnZp7UBBkXU4yiJwmCuDozBAh7uTjr5hamDUL8yTPmFehHiq+/ooioIjP78iSIqvNaNkT8+ofyA1aNzd0QcFoQtSgyNdcBD6imBJFxSMPiiwwap3BeUFVdXdYnNi2Z+7v9bsCoBO0tHdp7sa/AT0p59/P4Jcg1r8PVRkhaK88ooAqVgNktJKKMptuFBFTU6uepw9agZJtW/OHgZ0rrC7aDt/p/7Nv8n/Umwrrnq9l9GLseFjGR8xnuHBwzFoDU0bt8OBPSsLa1Wgk4ItNa3qviMn96R96AIC0IeFYQgPQx8ahj48HGNMDM69ezVpDPURwZAgCIIAIhhq7+EIwn+OoigkFyezLXMb2zPUACmvPK9WG0kx4CiNxGbujN3cGbk8FFDTtfzcDPQN86JvmJpi1yfMEz83Y63Xy2YzlsRErPHxWJOTsWdmYsvMwp6ZgS0jE7mkpElj1Xh6og8KxOrrQZ6HRIpzKXHaHOL0ueR5SOS5g02vrlnxNHpWzfj09+9PL79eOOucT/0bdhLWMjt5aeoMUkmBhdIiC6VFNkqLLJQVWSktttVfuKEhEji76XF212N1KiOXTBJtxyjQ5FCqL6ZUX4Tk4mBAZB/OjxnDqNCR6EvKKwKclIpZnTQ1rS0tFVt6Btjqr65XSePmhj48HENYKPqwcPRhoRjC1KBHHxJyWtaFiWBIEARBABEMtfdwBOE/T1EUEgoTqmaNdmTuoMBSu+KcDid0tmiKCiKwmTsjl4cA1WlfoV7OVTNIfcM86RPmiYdTw+toHCUlaoCUkYk9S/1qy8zAnpmFNSMda0YGUlnTZlzs7i7og4NwCelUkYKnzirpqr4GoTEaT97RaaLICuWlNkoLrZQWW9WvRVY1UCqq8VyxlfJia0M1LBro3IHeVozRUozBWoTBVvG16laM0VqEQSnDOcATY1g4+rAwNdgJD0cfqs72aDw927xogwiGBEEQTs2B9WmYTRaGXBLV8QrvNIMIhgRB6FBkReaY6ZiaVpexje1Z2ym2FtdqY9S44kE3yooiyc4Jx1EeSM3gCKCznyt9wzzpEuCGk16LQafBoNWoX2vcL3HkklRygITigxwt2k9i8VFk2Y6zBfyKwadIIbhET3eHHxHl7vgXS7jkl+LIykYpK2vSe9L6+KALCqwIlCpS8yrWLumCgtAFBqIxNC3t7HRQHA7s2dlYklMojk+nJCWbkswCzHmllBZaKLdpsRrcsRo81JveHZvBvVnn0Gil6rVMngZc3KvT805M2TM46077H1YRDAmCILScpdTGZ4+sR1HgmqcGExBx5v4ebWps0PqrZgVBEOqhkTR09e5KV++uXN/jehyyg8MFh6vWHO3M2onZZiaHXeC2Cxc3cNV5EGTohVTehcysMDJyPYjPNROfe+Liewcapwy0zoloXZLROieh0dctwiDbvSiyRFDgiMChiUA2BKPT6DB4ajCEVgRSWglPuZyAskL8ywrxLS3Ap7QAzxITniX5eBTl41acj85mxZGfr65vOniowfdt9/RG9vNH8Q+EgEA0AQFoA9WASR8chDE4EKPRWCuYa07A4CgsrFq3U5XOVrmOJz29TiqbU8XNt/LfxdVVTVvzD8UQGoY2NByHXwjxGivbixM5kHmc0mIbLlZ3nG3uuNo88VH8cba5o5RrkB0KZpMFs8ly4tDq0Oo0OHvocfEwNri+yd3HCXefM6OsuiAIwtkm7YipKpMg/ajpjA6GmkrMDAmC0CHYZTuH8g6pa44yt7Mrexdl9tozND5GXyLd+uDi6EZpmQv59mMUOI5QTAIyJ5TpVjRo7WFoLJHI5RE4zBFYrB5Y7bXLYLeIouBuK8W/1IRfeSH+ZSb8ygrxKzNV3fcvM2GosedPQ2QkCpzcyXXyJMfZi1xnLwpcvTC5eVPk5kORuw8+epkoWyHh5SYCzXl4F+Xilp+FMTcLjfkk66R0OvQhITXW7VQULAhTb1ovr0aDL0VROFJwhFVJq1idtJrjhcerjukVA8M8RzHK51z6uAxAb3FWU/SqbhbKim2UFlqwNlAx70RR/fy46O6+TWpbHzEzJAiC0HLrlhxh37/qBuyRff24+J6W/z5ubyJNThCEM5pNtnEg90DVmqPY7Ng6ld1q8jB41Cpv3cu3Fy76ulXjFEXB5lCwOmSs9ho3hwNLrce17zd2zGqvcdwhY7U7sNoc6EoKcTLl4Vqo3tyLC/AszserpADv0gJ8Sk3o5aYFCY3JN7qT6eqDycOPEp9ArP5BKMGh6EJDcAsLwc/TBX93I35uRvzdjXi7GNBqWpauFl8Yz+qk1axKWkVcflzV8xIS/QP6q5u8dhpPsFtwrdfZrY5aa5nKiq21AqeyIivmIitRff0455qYFn8vRDAkCILQcote2EpBhpp9YXTRMePN0Ugt/HvR3kQwJAjCWcXqsLI3Z29VWp3JYqKPX5+qACjSMxKNVP+eOx2VIss48vOxZmRSlpZOeXoGtsxMbJmZODIzUbKzUHJzQK/H4heE2SeQAk8/sl19SXX2Jl7nyVGNOxkWmlUgQSOBr5saHPm5GfB3N+JfESj5nfDVy1mPpoE/hClFKaxOXs3qpNXszd1b61hv395Vm7x28uh0Kt+mZhHBkCAIQsuYCy0sfGIjSGpas8MmM+3ZofiGurX30FpEBEOCIAhnAUWWQZIaTWVzyAr5Zis5xRZySyx1v5ZYyC22kltiIb+0eZXltBoJX1dDvYFSzUDKoSlge85aVietZnf2bhSqT9LNu1tVYBTtFX0q346TEsGQIAhCyxzZlsmqzw/iF+6Gk6ue1LgCRk/tSt+xYe09tBYRBRQEQRDOApLm5LNdWo2kBiXuJy/1bXfI5JutZNcKmKoDqZpBVEGpDYeskF1sIbv45AUS9FpffF2nE+oxBY3rfsy63eTLhzhccJjDBYf5IPYDQl0jGN9pAhdHT6S7T/czumyrIAjC2SQ1Tt3+Iqy7D0ZnLalxBaQfNZ2xwVBTiWBIEAThP0Sn1RDg4USAx8krtlntcp0Zp5yS+mafrBSW2bA5FDKLysksAugN9EbSmtG6HUTvsR+t6zHSzEl8eehTvjz0KZLdFw95IKH6oUS69cDf3YneoZ5c2DvodH8bBEEQhBoURakRDHmjN6gfxKUfM6Eoyln9wZUIhgRBEIR6GXQagjydCPI8eeBksTvIq3eGyUpOcRdySi4gO6+APDkWm/MedK5HQJdHIasoZBX7TZ7YU3ozNGcMF/ae1gbvThAEQahUlFtGcX45Go1ESBcvJI26bqisyIopqxTvINf2HuJpI4IhQRAE4ZQZdVpCvJwJ8XI+ScuLKLc5SDEV8E/yejak/c0B01Zs+kIMPhspcioFRDAkCILQlipnhQI7e6A3atX7UR6kHzWRftR0VgdDLSq9NH/+fKKionBycmLQoEGsX7++wbbLli1jwoQJ+Pv74+HhwYgRI1i5cmWtNgsXLkSqWCBc81ZeXt6S4QmCIAgdmJNeS4y/H3cOuoKvL32fTdet552x7zC582RuG3BNew9PEAThPyf1cEWKXDfvqudCYrwANVXubNbsYGjJkiXMnDmTWbNmsXv3bkaPHs2kSZNITk6ut/26deuYMGECy5cvZ+fOnYwdO5bJkyeze/fuWu08PDzIyMiodXNyEruQC4IgnO2cdE6c3+l8Xhn9CpOjJ7f3cARBEP5TFFkh7XB18YRKIV28AEg/oq4bOls1O01u7ty5zJgxg9tuuw2AefPmsXLlShYsWMCcOXPqtJ83b16tx6+88gq//PILv/32GwMGDKh6XpIkgoLEollBEARBEARBaCt56WbKim3oDBoCo6pLUAdFe6LRSJQUWCjOK8fD72Rp0GemZs0MWa1Wdu7cycSJE2s9P3HiRDZt2tSkPmRZpri4GB8fn1rPl5SUEBERQVhYGJdcckmdmaMTWSwWioqKat0EQRCE/5YT/xYUFxe395AEQRDOKKlx+YCaFqfVVYcGeqMW/wh34OxOlWtWMJSbm4vD4SAwMLDW84GBgWRmZjapj7feeguz2cyUKVOqnuvevTsLFy7k119/ZfHixTg5OTFq1CiOHj3aYD9z5szB09Oz6hYeHt6ctyIIgiCcBU78W9CzZ8/2HpIgCMIZpTJFLrTGeqFKNVPlzlYtKqBwYq3xptYfX7x4Mc8//zxLliwhICCg6vnhw4dzww030K9fP0aPHs33339P165dee+99xrs66mnnqKwsLDqlpKS0pK3IgiCIJzBTvxbcPDgwfYekiAIwhlDdsikHTUBEN7dp87xkK5eAKRXtDkbNWvNkJ+fH1qtts4sUHZ2dp3ZohMtWbKEGTNmsHTpUsaPH99oW41Gw5AhQxqdGTIajRiNJ99tXRAEQTh7nfi3QKRMC4IgNF12UjG2cgdGVx1+YW51jgdHe4IEhTllmE0WXL3OvmvvZs0MGQwGBg0axKpVq2o9v2rVKkaOHNng6xYvXszNN9/MokWLuPjii096HkVRiI2NJTg4uDnDEwRBEARBEAShiSrXC4V19UbS1M3yMrroq4Kks3V2qNnV5B5++GFuvPFGBg8ezIgRI/j4449JTk7mrrvuAtSUhbS0NL766itADYSmT5/OO++8w/Dhw6tmlZydnfH09ATghRdeYPjw4cTExFBUVMS7775LbGwsH3zwQWu9T0EQBEEQBEEQaqjcbDWse931QpVCYrzITSkh/aiJmCGNZ4KdiZodDE2dOpW8vDxmz55NRkYGvXv3Zvny5URERACQkZFRa8+hjz76CLvdzr333su9995b9fxNN93EwoULATCZTNxxxx1kZmbi6enJgAEDWLduHUOHDj3FtycIgiAIgiAIwolsVgcZ8YVA7f2FThQS48Xef1LP2opyknKW7KJUVFSEp6cnhYWFeHh4nPwFgiAIwlknNTWV8PBw8bdAEAThJFIO5fPrO7G4ehm5ac7IBouhlRVb+fyxDQDc+uY5OLsZ2nKYLdbU2KBF1eQEQRAEQRAEQThz1UyRa6wqtLO7Ae9gVwAyjha2ydjakgiGBEEQBEEQBOE/pqp4QiPrhSqFxHgBZ2cRBREMCYIgCIIgCMJ/iKXURk5yMQBh3RpeL1QpJEYtepZ2tOC0jqs9iGBIEARBEARBEP5D0o6YUBTwCnTBzfvkeweFdFFnj3JTS7CU2U/38NqUCIYEQRAEQRAE4T8k9XDFeqFuJ0+RA3DzNuLh7wwKZJxlVeVEMCQIgiAIgiAI/yFN2V/oRKFn6bohEQwJgiAIgiAIwn+EudBCQYYZJAht4swQnL1FFEQwJAiCIAiCIAj/EZWzQv7h7ji56pv8uspgKCepGJvFcTqG1i5EMCQIgiAIgiAI/xHNXS9Uyd3XCTdvI7KskBl/9uw3JIIhQRAEQRAEQfgPUBSlan+h0GasFwKQJOmsTJUTwZAgCIIgCIIg/AcU5ZZRkm9Bo5UI6eLV7NeLYEgQBEEQBEEQhDNS5XqhwCgP9EZts19fGQxlJRRht50d64ZEMCQIgiAIgiAI/wHVJbV9WvR6r0AXnN31OOwy2YnFrTm0diOCIUEQBEEQBEE4yymyUl08oZnrhSqdjeuGRDAkCIIgCIIgCGe5vHQz5SU2dAYNgZEeLe4nJEYNpNKPFrTW0NqVCIYEQRAEQRAE4SxXWUUuJMYLra7lIUDlzFBGfBEOh9waQ2tXIhgSBEEQBEEQhLNc9f5CLVsvVMk3xBWjiw67xUFucklrDK1diWBIEARBEARBEM5iDodM+hET0PL1QpUkjURwRVnutLMgVU4EQ4IgCIIgCIJwFstOLMZmceDkqscvzO2U+6tKlTsLiiiIYEgQBEEQBEEQzmJph9X1QqHdvJA00in3V1VR7lghsqyccn/tSQRDgiAIgiAIgnAWq9pfqNuppchV8g93Q2/UYi2zk5d2Zq8bEsGQIAiCIAiCIJylbFYHGfGFQMs3Wz2RRqshONoTOPP3GxLBkCAIgiAIgiCcpTKPFSLbFdy8jXgGOLdav8FnybohEQwJgiAIgiAIwlkqtWK9UFg3byTp1NcLVQqtWjdkQlHO3HVDIhgSBEEQBEEQhLNU1XqhUyypfaKACA+0eg1lxTYKMktbte+2JIIhQRAEQRAEQTgLlZtt5CQXAxB6iputnkir1xAU5QGc2euGRDAkCIIgCIIgCGeh9KMmFAW8Al1w8za2ev9VJbZFMCQIgiAIgiAIQkdyulLkKtUMhs7UdUMiGBIEQRAEQRCEs1BqXEXxhNMUDAV29kSjlTCbLBTllp+Wc5xuIhgSBEEQBEEQhLOM2WRRCxtIENr19ARDeoOWgIjKdUMFp+Ucp5sIhgRBEARBEIQOw5RdiinrzK1OdqrKDhygdPv2U+4n9bAanPiHu+Pkqj/l/hpypq8bEsGQIAiCIAiC0CFYSm0snbODpXO2U262tfdw2pyjsJCkG6eTNP0myg4cOKW+KoOhsG6nZ1aokgiGBEEQBEEQBKEVHN+Vg7XMjrXcQdL+vPYeTpsr/OUXlNJSUBRy3p7X4n4URTnt64UqBUd7IklQlFtOScGZt25IBEOCIAiCIAhCh3B4a2bV/YTYnHYcSdtTFIWC75ZUPTZv2IB5y9YW9VWYU0ZJvgWNViK4i1crjbB+BmcdfuHuwJk5OySCIUEQBEEQBKHdFeWV1bqYTjqQh93qaL8BtbHS7duxxscjubjgefnlAGTPnduiktWVJbWDOnuiN2pbc5j1CunqBYhgSBAEQRAEQRBa5Mi2LABCu3nh5m3EbpVJOZTfzqNqO6aKWSHPyZMJePQRJBcXyvfupXjVqmb3lVaxXij0NK8XqhRSMfskgiFBEARBEARBaCZFUThSkSLXbVgQUf39AYj/j6TK2fPyKKoIerynTkHn54fvzTcBkPP2PBS7vcl9KbJSXTzhNK8XqlQZDBVkllJaZG2Tc7YWEQwJgiAIgiAI7SonuZiCzFK0eg3RAwLoXBEMJe7NQ3bI7Ty608+0bBnYbDj164tTz54A+Nx6K1pvb6wJCZh++qnJfeWll1BeYkNn1BIY6XG6hlyLk5se31BXADKOmdrknK2lRcHQ/PnziYqKwsnJiUGDBrF+/foG2y5btowJEybg7++Ph4cHI0aMYOXKlXXa/fjjj/Ts2ROj0UjPnj35qRn/6IIgCIIgCMKZq7JwQud+fhicdYR08cTJVU+52Ub6scJ2Ht3ppcgypiXfA+A9dVrV81o3N/zuuhOA3Pc/QC5vWqW2yvVCIV280Orabt6jcnYo7QxLlWv2d2jJkiXMnDmTWbNmsXv3bkaPHs2kSZNITk6ut/26deuYMGECy5cvZ+fOnYwdO5bJkyeze/fuqjabN29m6tSp3HjjjezZs4cbb7yRKVOmsHVryypoCIIgCIIgCGcG2SFzdLu6XqjrsCAANFoNkX19gbO/qpx54yZsqaloPDzwmHRhrWNe06ahCwnGnpVFwbffNqm/ymCorVLkKgWfofsNNTsYmjt3LjNmzOC2226jR48ezJs3j/DwcBYsWFBv+3nz5vH4448zZMgQYmJieOWVV4iJieG3336r1WbChAk89dRTdO/enaeeeopx48Yxb968Fr8xQRAEQRAEoeNLOVRAWbENZ3c94T19qp6P6lexbmhPTosqqp0pCpZ8B4Dn5ZehcXaudUxjNOJ//wMA5H78CY6iokb7cjjkqmCkrYOhys1X89JKzqgNc5sVDFmtVnbu3MnEiRNrPT9x4kQ2bdrUpD5kWaa4uBgfn+r/7Js3b67T5wUXXNBonxaLhaKiolo3QRAE4b/lxL8FxcXF7T0kQRCaqTJFrsvgQLTa6kvTTj190Bk0lORbyEk+O3+2bZmZlPy7BgDvqVPrbeN56WSMMV2QCwvJ+/SzRvvLTizGZnHg5KrHL9SttYfbKFdPI16BLqBAxvEzJ7WxWcFQbm4uDoeDwMDAWs8HBgaSmZnZwKtqe+uttzCbzUyZMqXquczMzGb3OWfOHDw9Patu4eHhzXgngiAIwtngxL8FPSsWHguCcGawltur0uC6VaTIVdIZtHTqpabKna1V5Uw//AgOBy5DhmCMjq63jaTV4v/QQwDkf/UVtqzsBvtLjVNLkYd280LSSK0/4JMI6eIJnFmpci1aVSVJtb+5iqLUea4+ixcv5vnnn2fJkiUEBAScUp9PPfUUhYWFVbeUlJRmvANBEAThbHDi34KDBw+295AEQWiG+N052G0yXoEuBES41zneuarEdm5bD+20U+x2TEuXAuA1rf5ZoUpuY8fiPHAgSnk5ufPnN9iuer2QT4NtTqeQrmpq3lkbDPn5+aHVauvM2GRnZ9eZ2TnRkiVLmDFjBt9//z3jx4+vdSwoKKjZfRqNRjw8PGrdBEEQhP+WE/8WuLvXvZgSBKHjOly1t1BgvR+CR/T2RaORKMgwY8oqbevhnVYla9diz8pC6+OD+4QJjbaVJImARx4GwPTDD1gTE+u0sVkdZCao6WlhbbTZ6okq1w3lJBdjLW/63kjtqVnBkMFgYNCgQaw6YSfcVatWMXLkyAZft3jxYm6++WYWLVrExRdfXOf4iBEj6vT5119/NdqnIAiCIAiCcOYqKbBUbQ7adWhQvW2cXPWEdvMCzr5UuYLvlgDgddWVaAyGk7Z3GTQIt/POA4eD7HfeqXM881ghsl3BzduIZ4BzPT2cfu4+Trj7OKHICpnxZ8a6oWanyT388MN8+umnfP755xw6dIiHHnqI5ORk7rrrLkBNWZg+fXpV+8WLFzN9+nTeeusthg8fTmZmJpmZmRQWVn+DHnzwQf766y9ee+014uLieO2111i9ejUzZ8489XcoCIIgCIIgdDhHt2eBAsFdPPHwa/jivTpV7uwJhqwpKZg3bADAq8Y6+pPxf/hhkCSK/1xB2f4DtY6lHlbXC4V1827S8pXTJaSrF3DmpMo1OxiaOnUq8+bNY/bs2fTv359169axfPlyIiIiAMjIyKi159BHH32E3W7n3nvvJTg4uOr24IMPVrUZOXIk3333HV988QV9+/Zl4cKFLFmyhGHDhrXCWxQEQRAEQRA6muoUufpnhSpF9lWDoayEIswmy2kfV1swfb8UFAXXc87B0IwiYE7duuJ56WQAcubOrXWsvfYXOlHIGbbfkK4lL7rnnnu455576j22cOHCWo/XrFnTpD6vvvpqrr766pYMRxAEQRAEQTiD5KaWkJdWgkYnET0woNG2bt5GAqM8yEooImFPDr3PC2ujUZ4eitWK6ccfAfA+SeGE+vjdfz+Fy//EvGkT5s2bcR0xgnKzjeyK8uPtVTyhUkgXLwCyEouwWx3oDNp2Hc/JtKianCAIgiAIgiC01JGKWaHIPn44uepP2v5sSpUrXr0aR34+uoAA3MaMafbrDWFheE+bBkD2W3NRFIX0IyZQwDvIBVcvY+sOuJk8A5xx8TQg2xWyEjv+PqAiGBIEQRAEQRDajCwrHNnWtBS5SpXBUNphE+Vm22kbW1uoKpxwzTVIuhYlaeF3151oXFwo37+f4pV/Ve0v1F5V5GqSJOmMSpUTwZAgCIIgCILQZtKOFGAutGJ00RFRsanqyXgFuuAd7IosKyTtzzvNIzx9LPHxlG7bBhoNXte0fHmIztcXn1tuASBn3ryqqnyh7bxeqFJlqpwIhgRBEARBEAShhiNb1FmhLoMD0eqbfinaub8fcGanypmWqLNCbmPHog9q2qxYQ3xuuQWtjw/F6QUUZJaCBKFdO0gwVFFRLvN4IQ673L6DOQkRDAmCIAiCIAhtwmZ1cHy3Gsx0GxrYrNdWpsolH8jDbnW0+thON7m8HNNPPwMtK5xwIq2bK3533UWBd1cA/ENdm7T+qi34BKljsdtkcioKO3RUIhgSBEEQBEEQ2kTCnhxsFgcefk4ERXs267X+ndxx8zZit8qkHMo/TSM8fYr+XIFcVIQ+NBTXUaNapU+vaVMxhQ4AwNeW2ip9tgZJIxHcRf337eipciIYEgRBEARBENrE4S1ZAHQdGtTsjUElSSLqDK4qZ/ruO0DdZFXStM4luKTXYwroA4Dzhp9wFBa2Sr+toTJlTwRDgiAIgnCGKfzlF8xbtrT3MIT/ImspfHYBfDsF5I691qK5SousVTM6Ta0id6LKVLnEvXnIjjPn+1N+6BBle/aATofXVVe2Wr+FOWWUlmuQFAceGfvI++STVuv7VFVWlMs4ZkKWlfYdTCNEMCQIgiAINZh++pn0J54k7dHHsOfmtvdwhP+aTe9CyhY4uhKOrGjv0bSqo9uzUGSFwCgPvAJdWtRHSBdPnFz1lJttpB/rOLMgJ1NQUTjBfcJ4dH5+rdZvapxaRS4gQItWtpL/9TfYsrJarf9T4RvmhsFJi7XcQV5qSXsPp0EiGBIEQRCEGjwuvABjTAyO3FzSH38c5Sz7dF7owArTYMO86seb3m23oZwOlXsLdR3a8ipqGq2GyL5qOe4zJVXOUWKm6NffAPCeOq1V+64MhjoNi8R50CAUi4Xc9z9o1XO0lEYjEXwGlNgWwZAgCIIg1KBxdsbtf68hu7hj3rSZvI87TtqJcJb7+wWwl0FQX9DoIXkzpGxv71G1ioJMM9lJxWg0EjGDA06pr8pUuYTYHBSl46ZfVSr6/Xfk0lIMkZG4DBvaav0qskJaxf5C4d19CHjkYQBMy5ZhiU9otfOcispUubQjBe07kEaIYEgQBEEQashPN/P797kcnvQiDo2enHffpXTHjvYelnC2S9kOe5cAElz6LvStKL286Z12HVZrOVyxt1CnXj44uxtOqa/wHj7oDBpKCiwdvmyzoigUVBZOmDa12UUjGpObVkK52YbeqCUgygOXgQNxGzsWHA5y3ukY/2+q1w0VonTQdUMiGBIEQRCEGspKrNisMhl5eg6OfRYHOtIeeRR7Qcf9ZFM4wykKrHhSvd//OggZACPvVx8f+h3yjrff2FqBIisc2VZRRa6FhRNq0hm0dOp1ZqTKle/diyUuDslgwOvyy1u178pZoZAYL7Ra9ZLe/6GZIEkUr1xJ2b59rXq+lvDv5I7OoKHcbCM/09zew6mXCIYEQRAEoYbQrt5Mvr8feqOWHIcve4c+THmuiYwnnzojUnKEM9C+pZC2A/SuMO5/6nMB3SHmAkCBze+36/BOVcZxE8X55RictET1bZ3iAZ2rSmx37CInBd+phRM8Jk1C6+XVpNc4ZKVJv2sq1wuFdvOues6pa1c8L7sMgOy35rb77yytTkNQ54r9ho6Y2nUsDRHBkCAIgiCcIKSLF5c+2B+Dk5YCp3D29Lsf04at5H+xsL2HJpxtrGZY9Zx6f/TD4F5j5mTUA+rX2EVQ0rFnQBpzeKs6KxQ9MACdQdsqfUb09kWjkSjIMGPKKm2VPlubo7CQouXLATVFrinKbQ4u/2Aj577xL8Xltob7dshVRQnCunvXOuZ//31Iej2lW7Zg3rSpZYNvRZWpcunHTO06joaIYEgQBEEQ6hHU2ZPLHhqA0UVHoUcUsf3uJ+2dBepeIYLQWja9B8Xp4NkJRtxX+1jEKAgZCPZy2H5mFvKw2xwc25kNtHxvofo4ueoJ7eYFdNxUucJffkGxWDB264Zz//5Nes1Ha+PZl1ZISn4ZP+xMbbBddkIRNosDJzc9fqFutY7pQ0Pxvu5aAHLemtvuFTGrgqGjpnafqaqPCIYEQRAEoQEBER5cNnMATq56ijwiie19DwmPzOpQu7wLZ7DC1OpS2hNng96p9nFJqp4d2vaJuiHrGSZxbx7WMjtu3saqi+LWUp0q1/GCIbVwgpoi593EwglJeWY+WHOs6vHCTYk4Gig6kFqxXii0qzeSpm7fvnfeicbVlfKDByle0b77VQVGeqDRSZQWWinMLmvXsdRHBEOCIAiC0Aj/Tu5c/vAAnFx1FLt3YnvQFBJnvdghP+EUzjCrK0ppdxoJPS+vv02PS8E7EsryIfbbthxdq6i5t1B9F+2nIqqfGgxlJRRhNllate9TVbp9O9b4eCQXFzwmTz5pe0VR+N8vB7DaZYZF+eDhpCMpr5R/47LrbV+5XujEFLlKOh8ffG69BYDsd95BsTWccne66QxaAiM9gI6ZKieCIUEQBEE4Cd9QN654ZBDOLhpK3MJYXziA9IXftfewhDNZynbY9z0gwYWvqLNA9dFoq9PnNr0HDnubDfFUlZfYSNqfB0DXYYGt3r+rl5HAKPUiO2FPx5odMlXMCnlecglaN7eTtIaVBzJZeyQHg1bDnCv7cO3QTgB8sanufkE2q4PMBHV2Oqxb/cEQgO/NN6P19cWWlIzpxx9b8jZaTc1UuY5GBEOCIAiC0AQ+Ia5c+cRQnA12zK7B/PUv5G1r/9K1whlIlmuU0r5eLaXdmP7Xg7MPmJLg0K+nf3yt5NjOLGSHgl+4G74hJw8IWqIjpsrZ8/IoWrUKUFPkTsZssfPCbwcBuPO8znT2d2P6yEi0GomNx/KIyyyq1T7jmAnZruDmbcQzwLnBfjWurvjdfTcAOR98gFzafmmWVcFQB6woJ4IhQRAEQWgir0AXrnzmHJwxU+oSyK8fHaYwNb+9hyWcafb/oJbSNrjBuGdP3t7gAkNvV+9velfdl+gMcHirmiLXmoUTTlQZDKUdNlFubr9UsJpMy5aBzYZT37449ex50vbv/n2UjMJywn2cuXdsFwBCvZy5oJc6m7ZwY2Kt9jVT5E62Fsl7yjXow8Jw5OSS//U3LXg3rSOosyeSRqI4v5yivI61bkgEQ4IgCILQDF4BLlzx+FCcrCZK9T4se3kThbln3sJ2oZ00Vkq7MUPvAJ0TpO+GxA2nb3ytpDCnlMz4IiQJYoa0fopcJa9AF7yDXZFlpSolrz0psoxpyfcAeE89+azQkaxiPtugpsI9P7kXTvrq0uO3jIoC4KfdaeSbrVXPVwdDPiftXzIY8H9QLcKR9+mnOEympr2RVmZw0uHfyR2AjGMdqwCNCIYEQRAEoZm8Owcy+eYInMtyKFVcWPbSRgpzREAkNMHGd6tLaQ+/t+mvc/WD/tep9ze9e3rG1ooq9xYK7+GDq6fxtJ6rc391I9eOkCpn3rgJW2oqGnd3PC6a1GhbRVF45uf92GWFCT0DGdejdtA4OMKbPqGeWOwyi7clA1ButpGTUgw0vl6oJo+LL8bYrRtycTG5H7dfifbqVLmCdhtDfUQwJAiCIAgtEHDuIMYPNeNSmklpuZZlr23vsJs/Ch1EYSpsfEe9X18p7ZMZcR8gwdG/IPtQqw+vtSiKUpUi1/U0pshVqkyVSz6Qh93qOO3na0zBErWwiufll6Nxbng9D6gzPtsS8nHSa3huct10OkmSuGVUJABfb07C5pDVNTcKeAe54OrVtCBT0mgIePghdXzffIMtM7Ppb6gVhVZtvipmhgRBEAThrBB+982MMmzG1ZxBaYmDn97cSX6Gub2HJXRUTSml3RjfaOhRUaZ503utOrTWlJVQRFFOGTqjtipQOZ38O7nj5m3EbpVJOdR+a/hsmZmU/LsGAO+pUxptW1hq45XlakD7wLgYwrxd6m13cd9g/NyMZBaV8+f+TFLj1PfX1FmhSq7nnovL4MEoVis577/frNe2lqBoT5DAlFWKubDjlEIXwZAgCIIgnMDmaNqO7ZJGQ+fXnmdIyte4laRSWmzj57m7yEsrOc0jFM44tUppz2m4lPbJjHpQ/br3eyhKb7XhtabKWaHO/f3QG7UnaX3qJEkiqgNUlTP98CM4HLgMHoyxS5dG277512FyS6xE+7ty2zmdG2xn1Gm5cXgEAJ9vSKjabLUp64VqkiQJ/0ceBqBw2U9Yjh9vsO2qpFV8e+hbrA5rg21awslVj2+oWlWwI5XYFsGQIAiCINRQarVz7cdbmF9jJ/jG6Hx9iXxtNgP2vodbcTJlxTZ+nru7Kq9fEGqV0h5wPYT0b3lfYYPVmSXZBls/bJXhtSaHXebYDnWj0NNZRe5ElTNQiXvzkJv4YUZrUux2TEuXAuA1bVqjbfemmvhmaxIAL17eG4Ou8cvx64Z1wqDVcCzJREFmKZIEIV29mj1GlwEDcBs3DmSZnHnv1Nvmp6M/8fCah3l126tc+8e1HM4/3OzzNKYyVS5DBEOCIAiC0DH9uTeDiWnvs3blz7y+Ig6lCWWMXYcNJfiOmxmw5108SpIpN9v45e3dZCcVnfS1QseiyDJ5n31G/jffojhaaf1JzVLa5zehlPbJjFKrg7HjCyjvWP/Hkg/kUW624eJhaPbsxakI6eKJk6uecrOtXdaklKxdiz0rC623N+4TJzTYziGrRRMUBS7vH8LIaL+T9u3vbmRyvxA62dVZNv9O7ji56ls0zoCZD4JGQ/GqVZTt2VPr2JqUNbyw+QUAjFojRwqOcO0f1/L5/s9xyK3zs1BVROGYqVX6aw0iGBIEQRCEGq7SruMO3R98ZZhD6rqveO7XA8jyyQMiv7vvwnNgH/rvfgcvazqWUju/vL2bzPiOtVhYaFzeJ5+S/cabZL30EskzbsOec4ppVy0tpd2YmAvArytYimDXl6feXyuqTJGLGRqIRtPCVMAW0Gg1RPb1BdonVa7guyUAeF11JRqDocF2i7Ylsze1EHejjqcv7tHk/m8ZFUknu3rZ7hXp3uJxGmNi8LzsMgCy35pb9WHPrqxdPLr2URyKg8uiL2PFVSsYEz4Gm2zj7Z1vc8vKW0gpSmnxeSsFd/ECIC/NTHlJx9gXSgRDgiAIglBT7yuhx6UYJTvvGj7Abdu7PLo0FvtJUm8krZaQN97A6OlC361v4mcoxFru4Nd3YzvUp6BCw8xbtpLzjpo+JOn1lG7ZQvwVV2LevLnlnVaW0vZqZintxmg0MPJ+9f6WBeDoGBeVllIbiXvVvX7aMkWuUmWqXEJsTpNmdFuLNSUF8wZ17yevKQ0XTsgtsfDGijgAHpnYlQD3plcT7BXiQYyizgbttZWfwmjB//77kAwGSrdtw7xhI0cKjnDfP/dhcVg4L+w8nh/5PH7Ofrw79l1mj5yNq96V3dm7ueq3q1h6ZOkpfW9dPAx4B6nFIjrK70URDAmCIAhCTXpnuObLijLG8Lh+CYP3vcD9327HYm88VUQfGEDIa6+hc1jotfp5gvxkbOUOfntvD2mHO9beGvWRHTJJ+/P456tDbPzh6H+qVLgtK4u0Rx4BWcbzyiuJ+uVnjF274sjNJfnWGeS8+27z0+ZqltKe8GLzS2k3pu9UcAuEojTY/2Pr9XsKju/KwWGX8QlxxS/Mrc3PH97DB51RS0mBhZzktluzZ/p+KSgKrqNGYejUqcF2c5bHUVRup1eIBzdUFEVoqsLsMpxsCnYUFsdnU25redqaPiQE7+vUPavS3niVu1feSbG1mAEBA3jjvDfQaXSAWnThipgr+PHSHxkcOJgyexmzN8/m3r/vJae05bNvHS1VTgRDgiAIgnAijQYueBkuehMFDdfp/mXq0ce474t1lFrtjb7UbfQ5+N5xB1rZSo+VzxLa2QW7xcHv7+9p17K/jcnPMLP5p2N89fQmfn9/D4c2ZRC7OoVvn9vCb+/FkrgvF6UJqYJnKsVmI+2hh3Hk5WHs3p2g/z2LsXNnIr9fgtc114CikDt/Ack334ItK7vpHa9+vkYp7ctad9A6Iwy7U72/8V1ow5mQhlSmyHUbFoTU0mp5p0Bn0BLRU12n1FapcorViulHNRj1mja1wXZb4/P4cVcqkgQvXd4bnbZ5l+CVVeTynCRyy238vDut5YMGfO+8A8nNFfnIcWJ2ZdPFqwvvnf8ezrq6eyOFuoXy2QWf8ejgRzFoDKxPW88Vv17BysSVLTp39earplN4B61HBEOCIAiC0JChtyNN+xaH1okx2j3MTHmQmR8vp6i88bQk/wfux3ngQKRiE723zSOilzd2m8wfH+wl6UBeGw2+ceVmG/vXpfHDaztY/MJWdq1MxlxoxeiiIyaohLAQCSRIPpDPHx/s5dvntrDn7xQsZY0Hg2ei7DffomzXLjRuboS9Mw+NkzqDo3FyIvjF2YS8+SYaFxdKt28n4YorKFm/4eSdpmyDfUs55VLajRl8K+hdIfsAHP+79ftvhqK8MrVcsgQxQwLbbRzVJbZz2+R8xatX48jPRxcQgPuYMfW2sTlknv1lPwDThnRiQKfm7REEVO0vVBlIfLEx8ZTS1SxuBv4+R117dP16iQXnvYen0bPB9hpJw029bmLJJUvo4dODQkshj659lCfXP0mhpXnrIivfQ25KMdYO8PtEBEOCIAiC0JjuF6G9dTk2Jz96aZJ4PudBnpz/HXklDW8aKOl0hL71JlpPT2z79zCo+C+i+vnhsMssX7CXhL1tc6F2IllWSD6Qx8pP97PwiY2sXXSYrIQiJI1EZB9fRvcvZfTO5wn/7gm6fncfl18I/caFY3DWUZhTxoalR1n45EbWLDpMXvrZsZdS0YqV5H+pFiEIee1VDBF105c8L7mYyB9/wNi9O478fFJuv53suW+j2Bu4kGvNUtqNcfaGQTep9ze+e3rO0URHt2cBENrVC3efVkwHbKaI3r5oNBIFGeY2SfOsKpxw9dVI+vorvH2xMYEjWSX4uBp4/IJuzT6HIiukHTYBMH5sBC4GLYezitl8vGUfrFgdVmb+O5MveuVQ6CrhV+DAsHxdk17bxbsL3170LXf0vQONpOGP+D+48tcr2ZS+qcnnd/N2wsPPCUWBjA5QYEYEQ4IgCIJwMqGD0N/5NxavLoRI+bxa+BivfrCAzMKGFzLrg4MJnjMHANNXCxkVk0v0wABku8KKD/dxfFcz0q1OUUGmmc0/Heerpzby23t7OLYju2ptx6iruzD1eg96rn0F/bzHkLMy0Li4gCxT/NwjDOpayk1zRnLedd3wCXHFbnFwYF0a383exs9v7yY+NqdJ1fY6Ikt8AhmzZgHge9sM3MeNa7CtMSqKyCXf4XWtuodM3scfk3TTzdgyM+s23rcU0nZWlNL+32kZe5Xhd4OkhYS1kB57es/VAEVROLylOkWuPTm56gnt5gW0MFXOboG/Z8Pyx6E4q9Gmlvh4SrdtA40Gr2uurrdNuqmMeauPAvDkpO54uzZcaa4huWkllJtt6I1aorp5c/WgMAA+35jQ7L5kRWbWhllsydiCxsUF9ztuVc8xfwGy2dykPvRaPfcPuJ+vJn1FhEcE2aXZ3LnqTl7Z+gpl9rIm9dGRUuVEMCQIgiAITeEdifHO1ZSFjMBDKuOV0tl8/sFLJOc1/Omz+/lj8blJ/eQ+c9bTjL3Im5ghgciywspPD3B0R+MXW6fCUmbnwPo0fnx9B4ue38qulUlqGpyrjj5jwrjmqcFcdVs4/n++S/aMGyjfuxeNiwv+jzxMzIb1uJ47GqW8nJS774HsdHqfG8q0Z4dy2UMD6NzfH0mCtMMF/PnhPr5+ZhO7ViZ1mFK5TSGXlpL24APIZjMuQ4bgP3MmAOU2B4u2JvNvXN1gVWM0Evzcc4S+PReNqytlO3eScPkVlKxdW93IalbXCgGMfgTcT3PKmFcntQIiwKb3Tu+5GpCTXExBZilavYboAQHtMoaaOlelyjUzGCrOhC8nw/q3YNtH8N4g9Xtqt9bb3LREnRVyGzMGfXBwvW1e/P0gpVYHgyO8uXpgWPPGUyE1Tl0vFBLjhVar4aaRkQD8HZdNUl7TAhhQg9ZXt73KisQV6DQ65o2ZR89bHkAfHo4jN5f8r79u1rj6+ffj+0u+Z1o39QOCxXGLmfLbFPbm7D3pa0Ni1FTB9A6w+aoIhgRBEAShqZy9cb71F0q7XYFecvC09T1WfvAARzIb3vgy4JGHcerdG7mwkIzHHmPcDTF0Gx6EIius+uxA1aLz1iDLCskH8/jrswN88fgG1nx7mMz46jS4C+/ozS2vnsM5l4Yh/fIl8RddTNEff4Ak4Xn1VUSvXIHf7bejcXEh7O23cerZsyIt7A7sBQVIkkRYN28m3dWHG14awcALInBy1VOSb2HzT8dZ+NRG/vnqUJtW8moJRVHIeP55LEePofX3I3TuW6DV8vvedMa9tZanf9rHbV/t4HBm/e/DY9Ikopb9qH5/TCZS7ryL7DffRLHZ1OpxVaW072mbNzSyYhPWAz9BQVLbnLOGI1vVoD6qnx8GZ12bn/9EUf3UYCgroQizqeF01lpStsPHYyBlKxg9IbgfWIvhr2dgwUg4trpWc7m8HNNPPwPg3UDhhH8PZ/Pn/ky0GokXL+/d4n2XKoOhsO5qABHt78aYbv4oCizclNjkfj7e+zGL4xYjIfHyqJcZGToSyWDA/8EHAcj79DPsBc2reumid2HW8Fl8NP4jAlwCSCxK5MY/b+S93e9ha6Tke+XMUHZSETZrK21u3EItCobmz59PVFQUTk5ODBo0iPXr1zfYNiMjg+uuu45u3bqh0WiYWfHJS00LFy5EkqQ6t/LyU6ujLgiCIAitTmfEZdoXmIfNBOB2eSmHP7yB/Un1fwotGQzqTIKbG2W7d5P3/vuMm96DnqOCURRYvfAghzaln9KQTFmlbPn5OF/P2sRv7+7h6PYsHDYZ72BXRl7ZhZvmjOTie/vRub8fJSv+4Piki8idPx+lvBznwYOI/GEpIS+9hM7fv6pPjasr4R99iD4kBGtSEql334Nc4++yh68zI66I5qY5Izl/enf8wt1w2GQObcrg+1e2s+yNnRzdkYXjJPsztQfTkiUU/fobaLWEzZ3LQYueaz7czH2LdpNmKkMjgUNWeOG3Aw0uUjdERBDx3WK8r78eUC8kk66bhu2vitmZ1i6l3ZjgvtB5DCgO2DK/bc5ZQXbIHKmY4ew2tH1T5Cq5ehkJjPIAIGFPE2aHdn0NCy+C4gzw7w53/Au3r4HLPgBXf8g7Ct9cBYuvhfx4AIr+XIFcVIQ+NBTXUaPqdFluc/D8rwcAuHlkJD2CPVr0Xhx2uaoEdWUwBHDrqCgAlu5IpfgkBV0Alh5Zyvux7wPwxNAnuKjzRVXHPC6ahLFHD+SSEvI++rhF4xwZOpJlly7joqiLkBWZj/d+zPXLr+e46Xi97T38nHD1MiI7FLLaed1Qs4OhJUuWMHPmTGbNmsXu3bsZPXo0kyZNIjk5ud72FosFf39/Zs2aRb9+/Rrs18PDg4yMjFo3J6f2W4AnCIIgCA2SJFwnvUDpBXNxoGEyayn5/HJ2Hk6st7khPJzgl14EIO+TTzBv3MiY67vT+9xQUOCfr+I4sL55pXKr0+B28u1zW9i5IomSAgtGFx19zgvlmqcGc+3/hjJgYidcPY2U7dlD4rXXkv7Y49izstCHhBA6720ivv4a51696j2Hzt+f8E8+RuPhQVlsLOmPPV5nrx2dQUuPkSFMeXoIVz42iJjBAWg0EhnHC/nr0wN89fQmtv+RgLmwiZ/Qn2Zl+/aR9fIrADjf8wDPJOi59P2N7EgqwFmv5aHxXVkx81wMOg2bjuexYn/DM3cag4GgZ58h9J130Li7U7bvIAl/eFBsG9D6pbRPpnJ2aNdXUNp2JdxT4gooK7Li5KYnvJdPm533ZJqUKuewwR+Pwq/3gcMK3S+B21aDb7RaXn/ADXD/TnXPMY0ODi+HD4bB37MxLV4EqJusSlptna4/XHucpLxSAj2MzBwf0+L3kZ1YhN3iwMlNj29I9d5No2P86BLgRonFztIdqY32sTppNS9teQmA2/vczvU9rq91XNJoCHj4IQAKFi3Clt6yD2c8jZ68du5rvHHeG3gaPTmUf4gpv03hqwNfISu1PxSRJKl63VA7p8o1OxiaO3cuM2bM4LbbbqNHjx7MmzeP8PBwFixYUG/7yMhI3nnnHaZPn46nZ8Ml+yRJIigoqNZNEARBEDoylxEzsE75jjLJmeHSftwXXczmXbH1tvW48MKqxffpTzyBPSeHc6/tSt/z1XUEa749zN5/G7+okWWFlEP5rPr8AAur0uAKkSS1itYFt/fmltfO4dxruxEQ4YEkSdgyM0l7/HESp06jfM9eJBcX/GfOpPOfy/G48MK6+8Fk7IFld8J318PKWRjz/iH86VuQ9DqKV60i67XX6h2bJEkER3sy8bbeTH9lJIMvjsTZw0BpoZVtvyXw1dObWPX5ATIT2u9TYHtBAakPPohis5HVbziTMsJZtksNQq8cGMq/j47hwfExdA10585zOwPw0h+HTrrBpccFE4n64H84+VhxWDWk/phF1muvo1jrX2tyWkSfD4F9wFYKOz5rs9NWFk6IGRyItpl755xOlcFQ2mET5eZ6Zk5KcuDLS2H7J+rjsbNgytdgdK/dzslT3XPs7k3QeSw4rJT/+g5le/eBVoPXlVfU6Tox18z8NeqMyLOX9MTdqf4qc01Rub9QaFdvpBppdpIkcXPF2qEvNyfiaKCIyfbM7Ty+7nFkReaqmKu4f8D99bZzPeccXIYORbFayXn/gxaPF+DCyAv56dKfGB06Gqts5Y0dbzBj5QzSSmp/4FMZDKUdKcCem4s1MZGyffsxb95M0apVtWaiT6dmJXZarVZ27tzJk08+Wev5iRMnsmlT00vq1aekpISIiAgcDgf9+/fnxRdfZMCAAQ22t1gsWCzVnzIVFTWcry0IgiCcnU78W1Bc3PZrVZx7XoDl1hUULLySro5Usn+5jA0ln3HOuePrtA188knKdu3Gcvgw6Y89RqcvPueca2LQaDXErkpm/ZIjyA6Z/uNr72JvyiolbksGh7dkUlJQ/X69g1zoPjKYbsOCcPU01nqNXFZG3uefk/fpZyhlaoUnzyuuwP+hmegD6lnknrkf1syBuN/rHHIBggc7kb7Zh4KvvsaQvgKfCwaCTxR4R1V/NaqfXLt6GRk2uTODJ0VyfFc2e/9NJSuhiCPbsjiyLYuACHf6jA0jZlAgWn3bXEArskz6409gT88gy92fe8IupswuMyjCm/9d0pN+4V612t89JpofdqaSZirjo7XxPNjYp/uyjGHPXCLH5ZKdMYz8DSnkL1xI6e5dhL41F0NY6Ol9c6DuYzTyfvjpDtj6MYy4/7Sn6VnL7SRUzLy0dxW5E3kFuuAd7EpBhpmk/Xm1x5e+Ww32i9LA4A5XfQLdJjXeoX83uPEnOLycgqcfB2TcQ8zofpsOk15TUxVR16P979cDWO0yo2P8uLhP/YUVmurE9UI1XTkwlDdWHiYpr5R/4rKZ0LN2sY64/Dge+OcBbLKNcZ3G8czwZxrcDFeSJAIefojEaddS+PPP+N56C8YuXRodmyLLyGYzcnExjuISZHNJ1X1dSQmziwdyIMXBnoTNGMq2smbBhXQzhONjd0I2m7FanaD7g2TG5XB49M1olNql6qP/WomhU6cGzt56mhUM5ebm4nA4CAys/c0ODAwks77Skk3UvXt3Fi5cSJ8+fSgqKuKdd95h1KhR7Nmzh5iY+n/5zJkzhxdeeKHF5xQEQRDOfB3lb4ExvD/SPWtI++gyQq3xuP59HeuL32b0xbXTUTRGI6Fvv03C1VdTum0buQs+xP++exl5ZTRarcTOFUls/OEYskOh97mhHNuVTdzmDDKOVc+mGF10xAwOpPuIYAIi3etc3CiKQtEfy8l+6y3sGRkAOA8cSOBTT+Hcp3fdwWcdhLWvwsFfKp6QoM/VEDYUChKhIAHyE/DUJWIvLSR7jydZq7PRlS3GI/yET25d/WsFR1qfKLoGRdH13iiyc43sW5PGkR1ZZCcV8/fCQ2z68Rg9zwmh97mhuHmf3gv3fa/OQ79+PRaNjhcG34i3vw+vX9Sdi/sE13uB6GLQ8fRFPbh/8W4WrD3G1YPDCPVybqBztZS25OxG4Ntf47JtP+lPPU35nr0kXHklIa+8jPv4usFxq+t9pVoWuigV9n4Hg24+raeLj83BbpPxCnQhINL95C9oY537+7Ezw0x8bE51MBS7GH57EBwW8I2BaYvAv2vTOpQkHGFjKEp0Akrx7maH5E3w8Xkw6BY4/xlWHLew7kgOBq2GFy7t1WDw0RQ2i4PMivU09QVDLgYd04aG89HaeL7YmFArGEopSuGuVXdRYithcOBgXjv3NXSaxi/7nfv3x33CeIpXrSZ91ixcBg5CLinBUVKMXFxSfb9EDYCaUoo7AJhQ9cgOJFD5cY4ToO9cjM3gTpF7J3wcWWjc3dG4uaJ1c4dT2FS2OSSlGdvXpqenExoayqZNmxgxYkTV8y+//DJff/01cXFxjb5+zJgx9O/fn3nz5jXaTpZlBg4cyLnnnsu779a/iVh9M0Ph4eEUFhbi4dGyRWqCIAjCmeXEvwVpaWn07Nmz3f4WOEpNxH9wFTHmHTgUiW09nmbEtMfrtCv87TfSH3scJIlOX3yB6/BhKIrC9j8S2f67uneIVqfBYVfz7CUJwnv60n1EEFH9/NDp665RgOr1MGWxsQDoQoIJfPRR3CdNqntRlnMY1ryqViBDASTodQWc9wQEdK/buaKgFGWQ9dLLFPz2D5JOQ6dbeuLikQf5CVB2knUqBjfwjqTMtTsHTMM5kBRBiVm9OJM0alpT37FhBHfxOqULyBOlmcr49v2lXPzNq2hQeG/otfS65TpmnBOFUwPfx0qKojD14y1sS8jn4r7BfHDdwLqNrGZ4b7BaQW7cczD6YQBsaWmkPvww5XvUMsPe028k8NFHkQzN32emWTZ/ACufVi/071X3wDldfpm3m9S4AoZOjmLIxVGn7TwtlZ1UxNI5O9AZNMx4bQS6tc9XF5joeiFc+bGaBtcMBd8tIfP55zFERtL5u4+RVv0PDiwDQHHy4k3bNXxoPpd7z+/GwxObv8FqTckH8vjtvT24+RiZ/vLIen8u0kxlnPv6vzhkhRUzR9M9yIPcslym/zmdlOIUunl344sLv8Dd0LRg1XL8OPGTL1U3Dm4iSa+vCGLc0Lq51b7v5obG3Q3J1ZWtxftYnr2GEr0DnYcHNw29B3NsdxIOFTPs0igGX9S6/4eKiorw9PQ86d+DZs0M+fn5odVq68wCZWdn15ktOhUajYYhQ4Zw9OjRBtsYjUaMRmODxwVBEISz34l/C9o7ZVrr4kWXh/4kdsHN9M/7gxFxL7Pz0xQG3joPSVN94e05eTLmLVso/HEZ6Y89RtTPP6Hz9WXoJVFotBJbf4nHYZfVNLgRwXQdGoSbd8N/82xZWeTMfZvCX9TZHcnZGb87bsfnllvQnFiMKPcorH0N9v2AGgShLvY/70kI7Nnwm5MkJM8QAl99F5v5AUr++YfU71OIWLwYY+coKC9Ug6KKmaTqr4lQmArWEsjajzP7GcwPDHTTkKAfyl7zxaTbenN8Vw7Hd+Xg615En14ldD2/L/pOfVv4LwFmi52P1h7nxxU7eWv1u2hQODz4fJ5//3ECPJo2CyVJEs9N7snk9zbwx94MbhiWx4ho39qNqkppR9Qqpa0PDSXy66/Jfnse+V98QcFXX1O2azehb8/FEB7e4vd1UgOnw5rX1ApoR/6E7hefltOYTZaq9SxdO0gVuRP5d3LHzcdISb6FlA8fJ6pwoXrg3MdhzFPNDhQVRaHgu+8A8Jo2FckrHK75AobMgD+fQMraz2N8whXOqwjv/B5wasFQ5fc3rLtPgx8QhHo5c2GvIP7Yl8EXGxJ55tIo7l59NynFKYS6hbJg/IImB0IAxuhoQl5/ndJt29SAxt0Njatb9YyNuzsaN3e0bq5VQY+midfjlwAx+Yd5esPTHCk4wvbE17nW9R486VZr9rutNWtmCGDYsGEMGjSI+fOrSzf27NmTyy67jDkVO203pKkzQ4qiMHToUPr06cPnn3/epHE1NfoTBEEQzl6pqakdIktAkWU2L3ySkckfAXDQZzw97v4GSV+dZiWXlpIwZQrWY8dxHTWK8E8+Rqq4OEs7UoBOr603Da4mubyc/C++IPfjT6rXBV12Gf4PP4T+xA8p847D2tdh3/dQWdmp+yUw5kkI6tOs9yeXlZF0082U792LPiyMyO8Wo/Pza/gFdguYkhsMlnLLg9hXehFHys7Djnph5arJ49wBx+h8/Z3g0vQqZbKssGx3Gq+viCO/0Mwb6+fTvSAZJaYb3X9Y0uQLt5pm/bSPb7cm0z3Ind/vPwddZaEAUwq8Pxjs5TDlqwYryBX/8y8ZTz2Fo7AQjZsbwS+/jMcFE5s9jiZb/TxseBvCh8OMlaflFLv/SmbTsmMER3ty5WODTss5WsP6zzexd1s53Z3/Zpz/QrjiQ+gxuUV9le3ZQ+LUaUgGAzHr1qL18qo6dji9gG/nv8DD2u/xkirSx3pfBRNmg2fLNlv9/pXt5CQXM/6Wno2uydqRmM/VH27GqHcwdMQyYnN24uPkw9eTvqaTx+lfc9NcVoeVD2I/4Iv9X+BjDuaavU+gMcCdb49B04pFOJoaGzT7jA8//DCffvopn3/+OYcOHeKhhx4iOTmZu+66C4CnnnqK6dOn13pNbGwssbGxlJSUkJOTQ2xsLAcPHqw6/sILL7By5Uri4+OJjY1lxowZxMbGVvUpCIIgCGcSSaNh5K2vs6bnbGyKlp75q0maNxG5JK+qTeXGppKTE+aNG8n7tLoCWGhXbwKjPBoMhBRFoWj5co5fdBE577yLUlaGc//+RH6/hJDXXq0dCOUnwM/3wPtD1HUkigzdLoI718G0b5sdCAFonJ0JXzAffXg4ttRUUu6+B7m0tOEX6IzgFwNdJ8KwO2HSq3DdErhvG8zKxO/xPxn74CXcND2PkX0TcDMWY5Z9+XPnMJY/8zkl675tUtrO9sR8LvtgI48u3UN2sYWHjq2ge0EyGg8Puix4v0WBEMAjE7vh6awnLrOYxdtqbCWy+nk1EIoYBT0ubfD17uePJeqnZTgPGIBcUkLagw+S+eJLyKer2tywu0BrgJQtkLLttJzi8DY1S6hrByucUMu+H4iKfwaAROtw5FtWtTgQAjVFDtRNd2sGQoqi8OyvcXxln8DsqK9h8Aw193P/j+rP3bo3wNa8ymjlZhs5KWpBmLBuddcL1TQowpveoe5IAYuIzdmJq96VBeMXdMhACMCgNfDQoIdYeOFCnAO0WLSlyFZ4a+UHlNvbfo/RZgdDU6dOZd68ecyePZv+/fuzbt06li9fTkREBKBusnrinkMDBgxgwIAB7Ny5k0WLFjFgwAAuuqh6syeTycQdd9xBjx49mDhxImlpaaxbt46hQ4ee4tsTBEEQhPYzZsqDrB/2EUWKC5HmveS8ex623Piq48aYGIKemQVAzjvvULpr10n7LNt/gKQbbiTt4Uewp2egCwoi5M03iVi8COe+NdLKCpLg1/vVmYvYb9UNOWMmwu3/wrWLIbjhvf+aQufrS6dPPkbr5UX5vn2kPfIoit1+8heeSKMBz1CIPAenkTcw4J4ZXP/GJQwaoUWDg4TSgSxa7MneOU8jp+2pt4uU/FLu/XYX13y4mX1phbgZdcz1y+L8g2sACHntVQxhLft0HsDH1cAjE9VF9m+tOkKB2QrJW2H/D4AEF85RF3Y1Qh8SQsRXX+J72wwACr79lqRp12JNSmrxuBrkHgR9p6j3N77T6t3npZWQl1qCRifRZVA9lQmbqbDMxu7kAn7YmcrrK+K46+udzP7tIPnmFgaLsgP+ehZ+nEGIdjdOujLKHa6kF7W8spujsJCi5csBNUWupmW70tiWmI+zXssjl4+ES+bCHWuh00i11Pk/L8EHQyHujyYXBUg7UgCKWjHS1evkQbx/5B/oPQ6AomXuefPo6dtIymsHMTBwID9e9gNSsDqrHbvnKFN/n8qBvANtOo5mp8l1VCJNThAEQWitNLm8sjy8jF5oNY0vsG+qf9evpevqWwmVcinSeGGc/j3GyGGA+qly+mOPU/T77+iCg4la9iM677qfBNuyssmZN4/Cn38GRUFycsL39tvwvfVWNM41qpyZUmD9W7D7G5Ar9leJHgdjn4awwa3yfmoq3b2b5JtvQbFY8Lp2GkH/+1+rFUDISzbx78cbyMp1ASBAf4Sxo3Lwu/wBcPKkuNzG/DXH+WxDAla7jEaCaUM78UAXHaabbkApLcX3zjsJeGjmKY/F7pC55L0NxGUWM31YOLNzHoT0XTDgRrjs/Wb1VbJ2LelPPInDZELj6krwSy/iMekkpZ2bK+ewegGOBPftAL/GyyQ3x6Yfj7F7VTKd+/sz6a6mzSw6ZIXUglLic8wczynheMXX+BwzuSX1b8jr42rg2Ut6cHn/0Kb/nyrNhx9uhfh/1cfnPMTfqdcQtyWLPmPDOHdqEyvHnSD/q6/IemUOxm7diPr5p6rxFJbaOP+tNeSZrTxxYXfuHhNd/SJFUWeH/npWXVcG6n5QF76qlupuxNrFh9m/No0+Y8I4d1rjY35/9/t8tPcjUCTK0q7jrYtv5LL+bVDOvZVUplym+x3m15j56CQdd/S7g9v63IZe0/I9mpoaG4hgSBAEQThrtEYwlGnO5JYVtzAgYAAvjnqx1QKiDbv34fXzjfSWErBIRpQrP8Gpj7rGxFFiJuGqK7ElJeM2dixh8z+outiSy8vJX/gluR9/jFKRiuYxeTIBjzyMvuYG5YVpsGEu7PoKHBWfqHceA2Oehk7DWuU9NKTor79Ie3AmKAr+jzyM3+23t1rfiqyw/68DbPktFavDgISD/l6rUAZH8eChLuRWzB6c08WPZy7pQVd3LQlTpmI9fhyX4cPp9NmnSNrW+TfcdDyX6z7ZypXa9czVL1D3qLl/J7g3v4iULTOTtEcepWznTkCdbQh86qkWp/LVa9FUOLJCLfs8eV6rdCnLCl89vQmzycKkO/vQeYB/rePF5bYaAU9J1f3EvFKs9oZTHYM8nOjs70q0vxudfFz4YWcqh7PUNLHRMX68dHlvInxdGx9c1gH47jq1aIfeBS77AHpfScKeHJYv2Iebt5Hpr9Rfla0xiqIQf/ElWOPjCXruf3hfe23VsWd+3sc3W5LpEuDG8gdGY9DVk3RlKVHXcG16V/3Z1OjUVMbzHm+wmt2i57dQkFnKpLv6VG0gW2+7Q4uYs01dsz/K605WbI6if7gXP987qlnvsT1lJRTxw2s7MLhoiZv8K38l/wXAvDHzGBcxrsX9imBIEARB+M9pjWBobcpaHvz3QRyKg0ujL2X2yNmtFhBtiUvCsvgmzpN2IyNhGfcSzqPvA6D84EESp05DsdkIfOpJvKdPp3jlSrJffwNbuvqpslO/vgQ99RTO/ftXd1qUoV5o7Vyo7p0CEDlanQmKGNkq426Kyk/OAULeeAPPyZe0av9mk4X1n23g+FH1QtZDm0mA25985zuBGyZfwPnd1XSt9EcepWj5cnQBAUT9tAydr29j3TbbzK838OSxGwiSClDGPY80+qEW96XY7eS89z55H38MioKxe3dC356LMaqVSgwnboSFF4HWCA8dALeGL6qbKiUun1/nxaJ31tLltm4kFJQRXyPwyS6uf5YHwKjTEOWnBjyVgU+0vxtR/q64GWsXOLY5ZD5eF887fx/Fapdx0muYOb4rM86JQl/fIvsDP6tr42xmtbLftEUQpO6rZbc6+OyxDdgtDq55ajABEc373WDeto3k6TchubiohRPc1M2F96SYuHz+RhQFFt8+vG6lwRPlx8PKWXBYTbfD1R/GPw/9rqtV2a6kwMKXT21EkuDWN0fj5Fr/7MiKxBU8vvZxFBTu6X8P10Tfysg5/2B1yCy7ZyQDOzW+1qijkB0ynzy8HrvFwZRZQ9hmW8fm9M28OOrFU5plFsGQIAiC8J/TWmlyKxNX8sS6J3AoDi7vcjkvjHwBjdQ6VY52J+ZwdOHdTGEVAGUD78D5kldBoyX/22/JevEl0Otx7tmTsj3qGhldYCABjz6Cx8UXV1WcozgLNs6DHZ+ri/hBXaMw9mmIGt0qY22urDmvkv/ll0h6PeGffYprK679Tcw188ryQyTtyeSSMgWNrM4SxDiv55zzNbhMfIj8pb+Q9dJLoNMR8dWXuAysZ1+gU1S0/Hk8tr1NsuzP/itWcdGAUw9cSjZsJP3xx3Hk56NxcSHohRdaJ5hUFPh0HKTtVMtJnz+reeOy2ImvMbsTn2PGbW8hnQoVYg12VrnY6n1dgLuxKtjp7O9GdMX9EC9ntJrmXdwm5JqZ9dM+Nh1Xi4/0CPbg1Sv70C/cS20gO+Dfl9XUUFBnQ6/+ok4FwhUf7eP47hwGTYpg+GXRNEfaw49QtHw5XlOmEDxb3eTZIStc/sFG9qUVcsWAUN6e2r/pHR5dDSueVMufA4QOgklvQJhale/wlgxWLzxEQIQ71zw1pN4uNqdv5p6/78Eu25nWbRpPD3saSZJ4dOkeftiZyuR+Ibx37YBmvc/29Ou7saQczGf01K70Hdvy9X01iWBIEARB+M9pzdLaKxJX8OS6J3EoDq6MuZLnRjzXagFRXEYhf30yiwfkrwEoi74I56mfoeidSXvgQYpXqYGSZDTiO2MGvrfNQOOirpuhJEcNgrZ/BnZ14THhwyqCoPNOupD/dFJkmbSZD1H8119oPDyIXPQtxi6ntlalsMzG+/8cZeGmRGwOBa1G4sZBYYwuLCduWzEgYZSKGeL0C/pV25DsDgKfehKfm25qnTdVU41S2ndZZ7LX/Vz+fmQMzoZTnzm0ZWWT/uijFO+MJc+3N57DB9L76Rn1rh9rlgM/w9KbwNlbnR0yNJ5qZnPIvPDbAVYfzCazqHZlL50C9xY6YUBiqYcVY7BLjaDHtWqWx8Op5es86qMoCj/uSuOlPw5iKrUhSXDTiEgePS8It9/vgqNqWhUj74dxz4O27jaah7dmsvqLg3gHu3Ldc01PG7Xn5XF0zFiw2Yha9iNOPdXCBF9vTuTZXw7g7qTj70fOI8C9aXtXVXdshW0fqXtCWdV0QPrfAOOf4+8fconbksnACzox4oq6Pz8Hcg9wy8pbKLOXMTFiIq+f+3rV7PWB9EIufncDOo3E+ifGEuzpXOf1HdGO5Yls/TWe6IEBXHhH71bp87RsuioIgiAI/xUXRl6Ioig8uf5Jlh1dhoTE/0b8r1UCou7BnhjveY3/fRTALOs7OB9fjuWzizHe+D3BL7+EYrej9fLC//770IeEqC8y56lrDrZ9rFaoAggdrAZB0ee3axBUSdJoCHn9NZJzcijbvZvkO+4gcvF36AObX3HM7pBZvD2Ft1cdqaoqNqabP7Mu6kFMoLqJZO/zi1jz2TZyc9zZUHYDXr2GMtDxG94Xn6b1EhWltB2dRrEv61zSC8tZsPY4D09o2aL8mkwWZxIufIoj7qnYZC0Uw6H7fmDEhYFE3DC55elCPSaDd5S6r9Pub2HYHY02f+n3g3yzpboqsJ9b9SxPpFnBvjEXZ28jq18aU73f0mkmSRJXDwpjbDd/XvrjED/tTmPD5g3cuvtt3JQM0DnBpe9D32sa7COity8ajURBhhlTVilegS5NOrdp2TKw2XDq27cqEMoptvD6ysMAPHZBt+YHQgA6gxq89ZkCf7+gVnyM/YbS/WtIyn0b0BHWre7+WomFidy9+m7K7GUMCx7GnNFzaqXx9grxZFiUD1sT8vl6cxKPX9i9+WNrByFdvQBIP1qAoiitVoSlKdrmf7EgCIIgnIEmRU3ilXNeQSNp+PHoj7y45UVkpeFF4M0R5efKnfc+xmMuL1KguGHM2oX14/PRWrMIXzCfkDmvqIFQaT78PRve6avOCNlKIWQAXP8D3LYauozrEIFQJY2TE2HzP8AQGYk9PYOUu+7CUWJuVh+bjuVy0bvrefbn/eSbrXQJcOOLW4aw8JahVYEQQGCkB1c/O4ae9h1oHBZM3l1Z4/cAO157E8fqOWAra703VqOUtnbSHGZdol4Yf7T2OCn5jeyx1AhLqY19a1JZ8vI2vn9lOwfWZ2CTtbi5SWgUO/nu0Szf4Mzy2+ZTdOBIy8at0cKIe9X7m98HR8PlzxdtTebLzWqp7zev6cee5yay45nxfH/nCOZc2YfQQjWZqNeI4DYLhGrydTPy9tT+/DGhkF+N/6OTkkGq4sec4HlkRza+f5CTq57Qbl4AxMfmNOl8iixjWvI9AN5Tq8tpz1l+iOJyO71DPbh+WETL3kwl90C4fD7c9jdmv3P5OeMJysp1uOlNBLsk1GqaXZrNnavupMBSQE/fnrwz9h0MWkOdLm8ZpaZuLt6WTLnNcWrjayOBER5odRrKim2Yslr289RSIhgSBEEQhEZc3PliXj7nZTSShh+O/MDLW16mtTLMQ72cefaeGTzm+SbJsj+GomTsn4yHpM1QVgD/vAzz+qrrIawlENQXrl2i7hUUM6FDBUE16by9Cf/kY7S+vlgOHSJt5kwUW/3rS0706550rv9sK0eySvBy0TP7sl78+eBoxnarf3Yp/8MFBG34guH73iIsVEFGz7biKSz5KZT0N6+DIytP/Q3JsrrGA2DgjRDcj0m9gxje2QeLXeaV5Yea3JWiKKQfNbH6i4N88cRG1n13hNwUdc+emMEBXDqzP9NfH8N1zw8nzKsERdKSqO/Bd3Pj2PzcV9jNLbhQ7H89uPiCKQkO/VJvk63xefzvl/0APDqxK1cPCsPTuTrdrbTISvLBfAC6tddGq7IM/86h1/q7caGcJPeBXGF7mY+OejBu7lq+3ZqELDf8s1lZla2pwZB54yZsqalo3N3xuEgtfb4lPo9lu9OQJHjp8j7NXgPVkGKX3vyU9TQFjjDctPlc5vk0uq8mqml0DjtF1iLuWn0X6eZ0IjwimD9uPq76+lMeJ/QMJMzbmYJSGz/vTmuV8Z1uWr2GwCg1lS39qKlNzy2CIUEQBEE4iUs6X8JLo15CQuL7I9/z8tbWC4j83Y28ddfV/C/gHWLlaHQWE/KXl8K8frDudXU9QWAftTrWneug24UdNgiqyRAeTviHC5CcnTFv2EDGCy+c9Hv2b1w2Dy+JRVHgygGhrH10LNNHRNZfPQwoWbeO3AULAOg860EufeZ8Jt7aE2dnmQJHGD8l3c+/C/6l/KubwZRcbx9Nsu97dU8hgzuc/yygpm49f2kvNBL8uT+TTcdyG+2itMjKrr+SWPT8Vn56axeHt2bisMn4hLhyzjUx3PLqOUy8rTfh3X2QNBKewR5c9uqlXHR9GO4UYtO7sSsrjEX3/czxpWuaN36DCwypKHe+8d06G3+mFpRy97e7sMsKl/QN5t6xddepHN2RhSIrBER6NDnFrFWVF8GS62Htq+rjYXcTMfMvFt43iX5hnhSX25n1036mfLSZoxUluU8U1U8NhrISiigpaLjqXaWCJd8B4Hn55WicnbE5ZJ79WQ0Yrx3aif6VRRxOUVFuGT+9tYvCnDLcfZ244slRePUbDrId1rxC+ecTuH/FbRwtOIqfsx8fjv8QX+eGK9dpNRI3j4wE4PONCa32u+p0q06VM7XpeUUwJAiCIAhNMDl6slrqFYklh5cwZ9ucVrvI8HTR88HtFzAvdC4rHYPRyFawFEJAT5jylRoEdb/4jAiCanLu04fQt94CjYbCH36sClzqsy0hn7u+2YldVrisfwhvXtMPT5eGF+Lb0tJIf+xxUBS8rp2G52R1XU3M0CCue+k8eo7wA+Bg2UQWbZnM0dcfQFn3lrpwvTksJepaIYBzHwG36hmq7kEe3DBcTZN6/rcD2B21UyhlWSFpfx5/frSPL5/cyOZlxzFllaIzauk5KpirnhjEtGeH0m9cOE5u9b/XqNFduf79SxnSX0bnKKPYGMSKv2V+vucrCg6nNP19DL1dXVuTEQuJ66ueNlvs3PblDvLNVnqFePDG1f3qXa9xZGsmAN2GNX9PpVOWe1Stind4uVom/PIFMOlV0OrpFeLJsntG8dzknrgYtOxIKuCid9cz96/DdVLEXL2MVbMPiXsbnx2yZWZS8u8aALynTgHg8w0JHM0uwcfVwOMXNL5palOZskr56a1dFOeV4+nvzBWPDMQjPFitiHflp9idPHnMlsyugkO4awx8OG4BYe4nr7Z2zeBwXAxajmSVVFXi6+hCYrwANRhqywBOBEOCIAiC0ESXdbmM2aNmIyGxOG4xr21/rdX+aLsadXx462h+iH6ZJ223ca/9IVae+yP0vKzWHiRnGvfzxxL07DMA5L77Hqaffq7TZn9aITMWbsdilxnXPYA3r+mHppH0I9lqJfXBmTgKC3Hq04fAp56qddzJVc/Ym/pyxSMD8PbTUiZ781f+A/z+g0zROxdD/Jqmv4GN70BxBnhHwvB76hx+eEJXvFz0HMkq4Zst6nqborwytv0Wz9ezNvH7+3uI352DLCsERnkw9obu3PLaKMbe2IOgKM8mLRTX6rQMvWs8N7w0is7uOaDIpMlhfPfmAda+tAxb6clnOXD1U9PlQJ0dQg3WHl26h7jMYvzcDHwyfXC9lfEKMs1kJxUjaSRiBrdxMHRkJXxyPuQeAY9QuPVP6H9drSZajcQto6JY9fB5jOsegM2h8O4/x7jonfVsia8dCDQ1Vc70w4/gcOAyeDDGLl1IN5Uxb7VaCvupSd3xcqm7Vqe58tPN/PTWLkoKLHgHuXDFowNx96koxiBJKH2uZvawa1jj6oJRlnkvNYVufzypbrB8Ep7Oeq4epAZNX2xMOEnrjiEoyhONRqKkwEJxXvnJX9BKztzfroIgCILQDir3HQL49tC3vL799VYLiJz0WubfOJSSXtfzh30I9y6K5c99Ga3Sd3vyvvZafG+/DYCMZ5+lZOPGqmPHc0q46fNtFFvsDI3y4YPrBzaYFlcpa84cyvfvR+vpSdi8t9EY6r8wDYnxZupzoxlycSQajUKydRCLjz3E7gWfIS+5Vd2wtjGmFLWCH8CEF0FnrNPEy8XAoxO7oVHgp9+O8uPbu/j6mc1s/yORkgILRlcdfc8PY9qzQ7n6icH0PCcEg1PLivm6Bnox6Y2pXHZDIN72TGStgf2pXnz9wHIOLdt28v+HI+4FJDi2CrIO8u4/R/lzfyZ6rcRHNw4ixKv+MsyHK2aFOvXywdn91IOAJpFlWPsGLJoKliLoNALuWKPuydOAUC9nPr1pMPOvH4i/u5H4XDPTPt7CEz/sxVSqzghWBkNph02Um+tfx6bY7ZiWLgXAa9o0AGb/dpAym4Mhkd5cNfDU98HJTS3h57d3UVpkxTfUlcsfHoirZ+3/X+/seoefkv9CI2l4I3wygxwaiP8XFoyAvUvrpDueqDJV7u+4bBJzm1fEpD3ojVoCItUCKW2ZKieCIUEQBEFopitiruD5Ec8D8M2hb3hjxxutFhDptRrmTe3P5f1DsMsK9y3ezW970lul7/bk/9BDeFx8MdjtpD3wIOVxcaSZyrjx063kma30DvXgs5sG46RvfM+ewl9/xbT4O5AkQt58A31oaKPttXoNQyd3Ztr/hhMS7YZdcWJT8S0sXT+C7LemwOYPGq6wtvo5dUPbiHPUEtX1yM8wE5li5b4SZyaadGQeNoECod28mTijFze/OorRU7riG+rWlG9Tk4SN7sO0j6YyslcxRquJMp0n//xVwtIHlpET10iA5xtd9T5Sl79WNdPx8uV9GBRRt4wzgCIrHNmaBbRh4QRLMSydDv++BCgw5DaY/mutFMWGSJLERX2CWf3weVw3rBMAS3akMH7uWn7dk45ngDPewa5VKYz1KVm7FntWFlpvb9wnTuDfuGxWHMhEq5F48fLejc5aNkVOcjE/v72LsmIb/p3cufyhgbh41A4yvzrwFZ/t/wyA50Y8x9jxr8Jd6yFkIJQXwrLb4Idb1GqTDejs78bYbv4oCizclHhKY24rNVPl2orYdFUQBEE4a7TmpqtNsfTIUmZvng3ATT1v4pHBj7Ta/hgOWeGxH/awbFcaGgnentqfy/o3fuHf0clWKykzbqN0+3Y0AQE8NW4mu8oMRPu78v2dI/B1qzvzUlP5kSMkTpmKUl6O3z334P/A/c06vyIrHNqcwaalh7GUK0g46OvyB0OjYjFcOgciRlQ3Tt4Kn08EJHXNVnDfqkM2i4Pju7I5uCGdjOOFVc+XSAr7jXYemDGAIX2av7dSS5Rl5rDx1V84WhqOrNEjKQ5iIhyc88D5OLvVM4uTugM+HYdV0TLa8g4XjxrE/yb3bLD/9KMmfnprF3onLbe+fg66VthgtiGKLFP+ywcULfkYW14xSBoI7ofkG1WjVcXPV82fs/ruV3zJK7GyO8VEUbka8AZ6OuEWNJQEexdC9FkMc91b4zXq17Ldu7EmJOB72ww8HnyIiW+vIzm/lNtHRzHr4oa/V02RmVDIb+/uwVpmJzDKg8n398N4wtq4X479wjMb1dTSBwc+yG19bqs+6LCr1SXXvgaKA9yC4LL31eqS9Vh3JIfpn2/Dzahj81Pn497KG+K2tsR9ufzxwV48/Z254cURJ39BI8Smq4IgCIJwml3T9RoUReHFLS/y5cEv0UgaHhr0UKsERFqNxBtX90Onkfh+RyoPLYnF7lC4atCpp+i0F43BQNj77xF/7fXY449z2x/vMveSR/lqxrCTBkKOkhLSHngQpbwc11Gj8Lu37vqdk5E0Ej1HhRDZx48NS49wdHs2e0ov5fihEZyb9gxRw7rChNlqGepapbT7oigKOcnFHNyYwdFtmVjLHVV9RvT2pec5Iby1L4n1+zIp33iM73v7t8nGkc5B/oyfdxt9/tnK+oWxZLnEcCRZS8Ijqxk6MYS+V9Ref5Xr1YcUqScDOMj//NdywUXXN9p/ZYpc9MCA0xIIKbJM2Z49FC/5jKK//8VeXFmEoiJlLzkOiGtx/3pgaM0nUqAoMZmEwU+SWe5F/t9/oJXrSZfTaPCaMoX31xwnOb+UIA8nHhx/apvrph818fv7e7BZHAR38eSSe/thcK6+FM8ty+X1ba/zZ+KfANzQ4wZm9J5RuxOtDsY8oQY/P92prqX69moYfKuaymmsPQM5OsaPLgFuHMsu4fsdqcw4J4qOLLiLF5IEhTllmE0WXL0a/73QGkQwJAiCIAinYEq3KciKzMtbX+aLA18gSRIzB85stYDo1Sv7otVoWLwtmUd/2INDVpgyJLwVRt4+rM5uvD7mTm5Oe5GookzeP7yEYJf6P9WupCgKGbOewZqYiC4oiJA330DStvzC3MXDwMQZvek+PI+13x6iKN+f5aZZRK/ZxOgD43DtOaKqlLZlxNMcWZPKwY3p5KaUVPXh4edEj1Eh9BgRXHXB9nQnV1bHZbM9sYBf96S36Uxe4PnDuOqcARx893u275UwuwSzcVU++9ctZ8ztgwnrHYjVLnPPN7tws1zE54aDXGRZgWQrAW39n5rbbQ6O7cwGWjdFTpFlymJjKVqxguI//8CeU53qpdEpuA2IwnnslWpJ8JoJTFX3lRMeU52mWjPfSandLrfEwor9GSTnl9LJUYZO60ze1IfpFWKr81qnnj1Jc/HlwzXrAHj2kp64GVt+2Zwal88f8/dit8qEdvPm4nv6ojeq/4dlReanoz/xA3cWxgAANU1JREFU1s63KLYWo5E03NTrpsZ/j4QOVGcsV78AWxfAjs/h+L9w5ccQXh3+SZLELaMimfXTfr7clMjNIyNbbW+k08HorMMzxBWzxU5pkbVNgiGRJicIgiCcNdo6Ta6mRYcWMWfbHABu63MbDwx4oNVmBmRZ4blfD/B1RbWyV67oU7Ue4kxitcvc+fUO/j2cQ5+yTF5bNx+prBTPyy4l+NVXG/x+5X/5JVlzXgW9nsivv8K5f/9WG5PN6mD77wnErkpGUcAgmRnh/jU+uhQOej7KsVRfHDZ1tkKjk4geEEDPUcGEdvVGquei8r2/j/LWqiMEeTjxz6Pn4WJo+8+dy5NT2frKEuJs3bDr1T2BIsNhc5Q33+xNx8OoYYfPsxgKjqqzCaMeqLef47uyWfHxfty8jUx/eWS977epFFmmbPduilaspPivv7BnZVUd0+hk3MKseJw/GtcZL6PxPX3BviwrLN2Zwr+LD9OnVMt+g52wC8J4aELXWv9WiqJw0xfbWXckh9Exfnx169AW/zwnHcjjzw/34bDJdOrlw6Q7+1TNssUXxjN782x2Zu0EoIdPD54b+Ry9fHs1/QTxa+Dne6AoTU0tPOchOO9J0KlpkmVWB8Pn/E1hmY1Ppg9mQs92KI/eRKsPZvHwklhKbQ6+u2M4gyPrX8vWFE2NDUQwJAiCIJw12jMYArW63Kvb1E0hb+9zO/cPuL/VAiJFUZj9+0G+2JgIwIuX9eLGEZGt0ndbcMgKM5fE8tuedJz0Gr6ZMYzuKQdJuesucDjwvetOAmbOrPO60l27SJp+E9jtBD7zDD43NJ7W1VI5KcWs+SaO7KS6G3b6hLjS85wQug0NanA/oErlNgfj564ltaCM+8Z24dFW2o+muRRFIXf532z6ahepXgPVi2TZxi5DOdfdNYxx1lXw633gHgIP7qm6cK5p+YK9JOzJZeAFnRhxRd2NWE86BlmmbNeu6gAoO7vqmEYv4xZSjkenclzHX4pm4iy1fHkb2R+bxdoPD1AqKcz3KCfE25mXrujN2G7qWq/l+zK459tdGLQaVj50LlF+ri06T8LeXFZ8vA/ZrhDZ148Lb++NVq/B6rDy6b5P+XTfp9hkG846Z+7tfy/X97genaYFAXSZCf58HPYuUR8H9VVniQJ6APDqn3F8uPY4Izr7sviO4S16L6eTQ1aYu+owH/x7HICBnbyYf/0ggjydWtynCIYEQRCE/5z2DoYAvj74Na9vfx2Au/rdxb397221vhVF4ZXlh/hkvbpvyHOTe3LLqI69BgDUcT/z836+3ZqMXivxyfTBjKm46DT98AMZzzwLQNALL1RtcAlgz8sj4YorsWdn43HRRYS89eZpXYcjywr716ay5ed4FEWh65BAepwTQmCkR7POu2J/Jnd9sxODTsPqh86jk6/LaRvzychmM5teWEBisgeFXmpA42KwM/r6HkSvG49kzoTLP4T+19Z6XXmJjS+e2IDsUJj27NAmV8NTHA5Kd+6keMVKiletwp5TvZ+PxlmPe3AJ7qEluAZZ0PS4EM5/FoJ6t94bbiLZIfPF4xspN9tYHQi7LWUATO4XwiMTujLt4y1kFpXzwLgYHp7QsrVCx3dl89enB5BlheiB/ky4tRdanYYdmTuYvWU2CYXqz/Ho0NHMGj6LULdWSKs88DP8/hCU5asb1I57FobfS3qRhdGv/4tDVvjzwdH0CO4418p5JRYe+G43G4+p1f1uHhnJ0xf1wKA7taLXIhgSBEEQ/nM6QjAEalncN3a8AcA9/e7h7v53t1rfiqLw2orDfLhW/QT1mYt7cNvozq3W/+nw+oo45q85jiTBu9MGMLlfSK3jOe++S+78BaDVEj7/A1zPPRdkmeQZt1G6ZQuG6Giivl+CxrVln843l7XcjqSR0LewYICiKNzw2VY2HstjYs9APp4+uJVH2HRJeWYu+2AjXulJzMw8TK7XCCxO3gAEeeQxRj8b31B3uHtjraps+9emsnbxEfzC3Zg6a2hD3QMVAdCOnRSvXEHRqlU4cnKrjmnc3XDvHYy7yz5cffLRaIHw4TD++drV+9rB318eJG5zJj3ODWGTh8znGxOQFdBIICvQyceFvx4696Tl3utzZFsmqxceQpEVYoYEMv7mHhTbi5m7cy7Lji4DwNfJlyeHPckFERe0bpBfnAm/3g9H/1IfR5wDl8/n3uV5/LEvg6mDw3nt6r6N99FGdiUXcO+3u8goLMfFoOXVq/py6Qm/H1pKBEOCIAjCf05HCYYAvjzwJW/ueBOAe/rfw939WjcgmrvqCO/9cwyAJyd1567zolut/9b00drjzPlTrQY258o+XDu07lonRVHIeOppCn/+GZydeG9GAAPiLJyzOgvJxYWopd9jjO6Y768hR7KKmfTOehyywle3DuXcrv5tPobichtXzt/E0ewS+oV78d1tQyn56We2L95DUuBoZI0eFJneTisYNuNCnPqOr3rtj6/vJDO+kFFXd6H/+Hr+zex2SnfsoGjlSopXrcaRWyMA8vDA/fyxeHTR4Zq3FKlMrUhHQE8Y9xx0vaB2Oex2krAnh+UL9qlrol4Zyf60Ip5ctpcD6UUAfHHLkKq0ueY4tCmdf76OAwW6jwhizA3/b+++w6K4vgaOf3fpvaiIKCh2RcWGCPauSYzG2EuIpmmMsSRGo0kg9haNFYP5afQ1xl6TaNSoqBEVBey9gQXBqFRpu/P+sZHEhoDAAns+z8MjzO7OnIvszJy9955bnT9u7GB66HTup+iKRXSv2p0R9UdgZ2aXp23KpCgQthx2jIP0JDC14Xqjr2m5uyymxkaEjG390gqO+UlRFFaE3GDSb2dJ1yhULGXF4v4NqFraJs+OIaW1hRBCCD3y8/BDq2iZfXw2iyIWoUbNR54f5cm+VSoVn7WvhpFaxfe7LzFt+3k0WoWhrXI+ryM//XI0MjMRGtup+nMTIdC1p8yEb0m6E0XGkeMM/DES6xTdY2feb04l96JXLKJqaRve8SnPsr+uM+HXs2wf3gwTo4Jb616rVRi5JoJLMYk42ZgRNKABFmYmWPTuQfv2bbg2bQHhV6yILVWP06mvcWlRMt69b+LRvCwJfz8i+mocKhVU8fp3sr2SkUFyaKhuDtCuXWju/6cKnJ0dNm3aYNu+PVZ20agOTIObV3UP2rtBq6+gdnd0XUOFg2sNR4zNjEh8kEpsZAK1y9uxZWgTNoTdxFitzlUidHr/LYJXXQDAo5kLld6wYuiej/nr9l8AVLSriL+PP/VL18/TtjxDpYIG74J7c9g0BKIOU+HgF6y2bczQeD9+ORrJJ62r5G8ML5CclsGXG0+xJUK3mPRrtZ2Z0d3zlar1vQpJhoQQQoh8MrDWQLSKlu/DvmdBxALUKjUf1Pkgz/Y/om1VjNUqZu28yMw/LpChURjeVj83OE/77eQdxm06BcDgFpVe2nN1X5PAuE4PGHQNKvwzz357AxXLrHaz5rd+TGo6iaoOr7bOS0Eb0bYqWyJuczkmkRUhNwp0jZfvdl1g97kYTI3VBL3TkNK2/05EN3Z0pMqMbygbGsrpKUs4a92cJCsX9q++yOk/r+FYXjeMrlwNRyytjEg6dEiXAO3e/UQCZGRnh3XbNth27IiVtzeqyAPw59dw54TuCZYlocUXuptyY/31QryIsakR5Ws6ciU8lqsRsTiVt8XYSE0vr9wl3yf2RHFw7SUAarUqy5Wahxi9bREpmhRM1CZ8WOdDBtUahKnRcxbDzS+OFWHg7/DXXNg7hcZph/nD7CzTDw0hrfnYV56Xk1NXYhMZsvI4F+8mYqxW8eVrNRjUpEKBrMn1IjJMTgghRLFRmIbJ/dePp35kbthc4DkryueBwH1XmL5D1wPzaevKjGxXVa83F/suxPDBimOkaxT6ersxuWutLOOJT4vnvT/e4/z981RLL8mU3+2wcHHl5LC2TA2fSVxqHMZqYwbXGcyg2oMwUWdd0a0w+eVoJF9uPIWNmTF7R7ek5EuGJh24eYD54fOxMrFigu8EXG1zXmZ6S8Qthq+OAGBOL0/eqvfihXqVtDRiP+vCiXOuXC3/ZmYpboCGNudwOPgzmgcPMrcZ2dtj064tNu07YNXYG5WJCdw8BrsD4PoB3ZNMbcB3GPh8DGZ5N+wpP1w4Es3uZWdxKGNFX3/vXO8nbOcNQjbq5vG5NrPk/2y+4/wD3XvSy9mLbxp/QwW7CnkRcu7dOYl244eoY88BcMPtLcr3nQfmBXOu3H7qDqPXnyQxNQMnGzMW9quP1yuUzn4ZmTMkhBDC4BTWZAgg6GQQ88PnAzCywUgG1RqUp/tfsv8qk3/X3eQMaVmJLzpU00tCdOz6ffr/7wgp6VreqFOGub3rZbnIY3J6Mh/s+oCTsSdxNHdkecflT9w03nt0jwkhE9gbtReAmiVqMqnJJKo4FI4esJfRaBXeXHCQM7fj6e3lyrS3nz9x/WrcVWaGzuTgrYOZ26xNrPH38aeje8dsH+/UzTi6Lz5EaoaWj1pU5MtONV7+ouhTpM1qQWREOU5bvM0tlyaYpifS+EgAxprUfxKgdth07IBVo0a6BAgg9gLsmQjntul+NjIFrw+g2SiwKpntmPUpNTmdpZ8fRKtV6PdtY+xL57zyX+hv1zi6TVcZLrXuLZZbzEKLFjszOz5r8BldK3fV64cTT8hI5fhPn1EvaiVqlQJ2bvBWIFRomm+HTNdombHjfGYVTG93R+b3rYeTtRkk34e4SHgYBXFRun8fRuq2+f0KFva5Pq4kQ0IIIQxOYU6GABafWMzCiIUAfNbgM96t9W6e7n/pwWtM+PUsAB82r8iXnaoX6E3Y2dvx9AoKISElg5bVShE0oGGWw3BSNakM3T2UI9FHsDW1ZWmHpVRzfHZdHkVR+O3ab0w9MpX4tHhM1CYM8RzCwFoDc7cmSwE7dv0+3ReHoFLB1qFNqV3u30nzcalxBJ4IZM35NWQoGRirjelTvQ9n7p0hLCYMgLervM2YRmOwMLbI8jgxCSm8Of8vouNTaFWtFD/6eWWZiD5hRVeUK3tJtHyTG8EpKEkJlGzhjW3HDlg2aoTK+D+/57ibsG8qRKwCRatbw8izD7Qcq5sfVMRsnRtO1LkH+LxVifodymf7dYqicGTrVY5v1y2GfKbSPg44bQLg9YqvM7rhaEpYlMiPkF/JvcRUPp22kOnqRbiqYwEV+AzVlTk3yf26Ps/QarkXHcmc9X+SEH2Vsqp7tCubSl3bBNRxN3WJT3rSi18/+CA418714SUZEkIIYXAKezIEEBgRyKITiwD4vOHn+Hn45en+V4Rc55stZwAY2KQC37xRs0ASomv3kuix+BD3EtPwquDAikHeWGRRmjpdm87IvSMJvhmMpbElP7b/kdqlsr7xiU2OZcLhCeyL2geARwkPJjWZRGWHwlU44nlGrA5nc8Rt6rvZs2GILxpFw7qL61gYsZC41DgAWrq25POGn1PetjwZ2gwCTwSy5OQSFBQq21dmZvOZL2xraoaG3kGHCY98SKVSVmwa2gRb8xwMJ7yyB/7vLTCxhJFnwPI5w5eS78OB7+DoEtCk6rZVfwNaf5W5uGdR9LiMeGl3W7qPyV4ZdEVROLThMhG7owA4VH4TJ132Uda6LN80/gbfsr75GfIrG73uBL8fv8QSpw34xv+u21iqBnT7Acp4Zm8nmnSIv/Vkr05cpK5n52EU2rhbqLVpL9+PdWmwcwV7V10ybffPv26NwTz31fYkGRJCCGFwikIyBLAwYiGLTywG4AuvLxhQc0Ce7n/VkcjM4gXv+JTn2zc98jUhuhP3iO6BIdx6+IiaZWz55cPG2Fm8+EZco9Uw9sBYdlzfgZmRGYFtA/Fy9srWsRRF4dervzL16FQS0hIwUZvwcd2Pedfj3ULdSxQdl0Lr7/aRnKZh6GsaDj1YxuWHutLole0rM9prNL4uz95AH7lzhLEHxnLv0T3MjcwZ02gMb1d5+4n/T0VRGL3+JOuP38TW3JgtnzTFvWQO12RSFPihGUSf0lV+azH638dSE+FwIByaB6m6stOUb6JbK8g16zWIioKkh6n8NFZX7c1vahOsHbKe16VoFfavvcjpfbcAOOC+jvNlQvDz8GOw5+CX9uAVBmdvx/PavAMYqVWEdk/H8c/PICkW1Ca6Hr4mI0CbrusFfBj5T7Lz1HC2hNu6nsEsZChq/laXwLZMJSxKVtAlPJmJT3mwLZu3vVH/IcmQEEIIg1NUkiFFUVgQsYCgk0EAjG00ln41+uXpMdaGRjFm40kUBfp5uzGxSy3U2R0ylQN/J6bS84cQrsQmUbGkFWsH+2RZJECraAk4FMCmy5swVhszr9U8mpVrluPjxiTHMCFkAsE3gwGoVaIWk5pOopJ94V2PaPLOYFZeXIixjW5ul72ZPUPrDqV71e5ZJnJ/P/qb8QfHZ5Zn7lihI/4+/libWgPw44GrTPrtHGoVLB/UiGZVcrmm0cm1sPEDsCoFI07rhr+FLYfgGZD0T4k/59rQJgAqtykUawXllfXTj3H3WjzNe1eldsssCk5oFbYsO8qt0CQUtOyvuBZjj0T8ffyfO8SzMOv1QwhHrt3n45aV+KJZSdg2HM7/qnvQ1AbSEl6+EyPTf5MbO1dSrcvyywX4PcqEW0pJvD09mPR2PSxNC/6DCkmGhBBCGJyikgyBLiGaHz6fJaeWAPBloy/pW6Nvnh5j/fGbjF5/AkWB3l6uTHmrdp4mRAkp6fRdcoRTt+IoY2fO+iG+lLV/8afiiqIwPXQ6P5/7GbVKzawWs2hXvl2uj68oCtuubmPa0WmZvURD6w7Fz8OvUPUSxafF88OJH1h1fhUZ2gwURU0Nq478+Oa4bC+6qVW0LD+znHlh88hQMihnXY5ZLWZx774TA5cdRavAN2/UZNCrlO/WpMPcuhB/Ezz7QuQheHBd95hDBd2cEo9uoC7YcswFIeyPG4RsuoJrDQfeHF7vuc9JTnvE/+b/jvqSA1q0HKq6ns6dmtOrWi+MCtH6Sdn1x5loPvq/49hbmhAytg0WJmo48Qv8/sW/iZCp9RPJzr9D2dx031s5Zf49XLybwOD/O87Ve0mYGKn4prMH/b3d9FY8QpIhIYQQBqcoJUOgu5mfGzaX/53+HwDjvMfRp3qfPD3G5vBbjFobgVaB7g3KMf3tOtmfVJ+FlHQNfkuPcuTafRytTFn7kQ+VnayzfM388PmZvWGTmkyiS+UurxwHwN2ku0w4PIH9N/cDULtkbSY1mURF+4p5sv/c0mg1bLi0gQXhC3iQqitPXcOuEcfCmmKscWbnyOZUyOFwthOxJxizfwy3Em9hrDIm414nEmJ86dnQlelv13n1G8+QhfDHuH9/ti6tWyuo3jtgXIDr4xSwh3eT+dn/MGq1ioEzm2Ju9eQwz5CbIWz7MYyy0TXQoiG6cRjDevjhbOWsp4hfnUar0HLWXqLuP2Jqt9r/Lor86KFuSJxdObBwyFYP4JaIW4zdcIpH6RrK2JmzqF996rk55G8DXiK7uUHxS+2FEEKIIkKlUjG8/nAG1hoIwJQjU1hzfk2eHqNrvbKZ5a3XH7/J5+tOkKHJepz/y6RrtAz9OYwj1+5jbWbMikGNXpoILT29NDMRGu89Ps8SIYDSVqVZ0HoBE5tMxMbEhlP3TtFjWw+Wnl6KRqvJs+PkxJE7R+jxaw8mHp7Ig9QHuNu5E9g2kDVdfqRJ+ZqkabRM+u1sjvfrWcqTtZ3X0rJcGzKUDCixDeeqq/isY9m8+QS+/ju6XiAzW11P0Kfh4PV+gSZCtxJvcSz6GBfuXyA6KZqk9CTy+7N7+9KWOLpYodUq3Dj9d+b2+yn3GbdvPOsXHdYlQioNrt3UTH53TJFOhACM1Cr8fCoAsOyva//+ji3soUwdXRGNl/xNpWVo8d9ymuGrI3iUrqFp5ZL8Oqyp3hOhnJCeISGEEMVGUesZekxRFGYfn81PZ34C4OvGX9OzWs88Pcb2U3cY9ks4GVqFzp4uzOnpibFRzj8T1WoVRq6NYEvEbcyM1awY1AjvilmXD159fjWTj0wGYET9EbxX+71ctSE77ibdJSAkIHO9njql6jCxyUQq2hVML1FUfBSzjs1iT9QeAGxNbfm47sf0rNYzc7HYyzEJdPz+ABlahWUDvWhVzSlHx9BoFQb+dJSQmF8xd/4VVBk4WTgxrfm0bBeiyFL6I1AZFXhP0MnYkyw9vZQ9kXtQePL2VK1SY2Nqg42JDTamNtia2ur+NbPN3Pb46/Fj//3ewtjipcni4S1XOL79BhXrlaLjh7XYemUrs498j/epbpR/6IFipKXt+9WpnsUitkVNfEo6PlP+JClNw8r3vGlaJfvrQ92Je8THP4cRHvkQgGGtKzOibdU86XnOCzJMTgghhMEpqskQ6BKiWcdmseLsCgDGeI2hX41+eTre/o8z0XyyKox0jcJrtZ2Z27seJjlIiBRFwX/rGVaE3MBYrSLonQa0rl46y9dsvbKV8QfHA/BB7Q/4tP6nr9SG7Ma5+fJmZoTOIDE9EVO1KcPqDWNAzQH5NrcjMS2RoJNBrDy3knRtOkYqI3pW68nHnh9jb27/zPMn/XqWHw9eo2JJK3aMaJ7lekxPm/L7OYL2X8XcRM13/Zz44fy3XIu7hlqlZnCdwXxY58MiM4dFURT+uv0XS08vJTQ6NHO7q40ryenJxKfFk65Nf+XjGKuMn0iY/pssZSZMDxyI+8URlQmEd1rDsehQOlx4H9e46qhN4PUhnrjVLHzrBr0q/y2nWR5ygzbVnfjfu9lLpv+6fI9hv4RzPykNW3Njvu9d96XngoImyZAQQgiDU5STIdDdGM4IncHKcysB8HL2wt/Hn/K22V8I8mV2n73Lxz+HkabR0sGjNPP71M/2jfh3Oy8wf89lVCr4vlddutQtm+Xzd93YxefBn6NVtPSr0Y8xXmMKdDJ1dFI0AYcCMquweZbyZGKTibjbvUKRgadotBo2X97MvPB53E+5D4Cviy+jG47Ocv2j+JR0Ws/ax73ENMa/VoMPmmev52rD8Zt8tu4EAAv61uONOi4kpycz5cgUtlzZAuj+bqY1m4aTZc56nApShjaDndd3svT0Ui48uADoEpbXK77OwFoDM6sCKopCqiaVhLQEEtISiE+Lz/z+vz8/vT0h/Z/HU+N1wwmzQ4F+Yf7YpDnyZ+UV1IxtQpm4ShibqXnjY0/KVis6Q79y4mpsIq2/C0algj2ftcyyLLtWqxAYfIXvdl5Aq4CHiy2B/RrgVsKyACPOHkmGhBBCGJyingyB7uZvxdkVLAhfQIomBVO1KYM9B/Oux7uYGOVgEc0s7D0fw0crj5OWoaVtDScW9quPmXHWPQmPyzcDTOxaiwGNs07QDtw8wKd7PyVDm8Fbld8iwDcAtargpyorisKmy5uYGTqTxPREzIzMGFZvGP1r9H/l3pNj0ceYETqDc/d1v5cKthUY7TWaZmWbZSvpWxsaxRcbTmJtZsyez1vgZJP1eithkQ/o/cNh0jRahrWuzGftnyzlvO3KNiYdnkRyRjIOZg5MajqJ5uWa576B+eBRxiM2X97M8jPLuZWoW6fHwtiC7lW7807Nd/J8Ho6iKDzKePRskvSf5Ck+NT5zu01oFZyuVENRaVEpakzNjXhjWF3KVMr94p9FwaCfQtlzPoZ3fSsQ8KbHc58Tl5zOZ+si2H1OV2a9Z8NyTOhSC3OTwtkLKcmQEEIIg1MckqHHohKimBgykZA7IYBuYc5vfb+lTqk6ebL//Rdj+WDFMVIztLSqVorA/g1eeFPz+KYdYHSHagxt9eIeD4DQ6FCG7B5CqiaVjhU6Mq3ZNL0P24pOisb/kD+Hbh8CoG6pukxsMpEKdhVyvK+bCTeZfXw2u27sAsDGxIbBnoPpU71PjhJWrVah66K/OHkzjh4NyjGzh+eL449LofOCg8QmpNKuZml+6N/guWXSb8TfYHTw6MwEza+mH8PrD8+zRDq34lLj+OX8L6w6tyqzsp6juSN9q/eld/Xe2S4xnt9uXXjA5jnhAJhZGtP507qUrlC0zyXZceBSLAP+dxQrUyNCxrXB1vzJv5czt+MYsjKMyPvJmBqrmdjFg15ebnqKNnskGRJCCGFwilMyBLpPtX+9+iszQ2fyIPUBKlT0qd6HT+t/ipVJzkoyP89fl+/x3vJQUtK1NK9aiqABzyZE20/dYeiqMLQKfNi8Il92qp5lr8ep2FO8v/N9kjOSaVGuBXNazcksHKBviqKw8dJGZh6bSVJ6EmZGZnxa71P61eiXrWQtKT2JH0/9yIozK0jTpqFWqelepTtD6w3F0dwxVzEdv/GAtwN1CdrmoU2o62r/zHNS0jX0/CGEkzfjqFbahg0f+2Jt9uJ1lNI0acw+Ppufz/0M6BakndFiBq42rrmK8VVEJ0Wz4uwK1l9cz6OMRwCUtS6Ln4cfXSt3xcL4xetS6YNWo2X1xKOkJGfQeZgnpVxt9B1SgVAUhfZz9nMpJpGv36jJe/9Zr2rdsSi+2nya1Awt5RwsWNy/AbXKFo7kNSuSDAkhhDA4xS0ZeuxBygNmHZvF1itbAShtWZrx3uNp5dbqlfcdcuVv3lseSnKarizukncaYmGqSwwOXIrlvZ+OkabR0quhK9Perp1lInTh/gUG/TGI+LR4vJ29Wdh2IWZGZq8cY167k3gH/0P+mb1u9ZzqMbHJxBfOzdIqWrZe2crcsLnce3QPAG9nb0Z7jaaaY7XnviYnRq2NYGPYLTxd7dk0xPeJHh9FURixRle9z8HShK2fNMXVMXvzM/ZE7uHrv74mPi0eaxNr/H386eje8ZXjzY4rD6+w9PRSfr/6e+acnWoO1RhUaxDtK7QvVIviPk2j0aJoFIxNC+fwr/yy6kgk4zadws3Rkr2ftyRdo+XbbWf45WgUAK2qlWJOr7rYWxaN9abydZ2hRYsW4e7ujrm5OQ0aNODAgQMvfO6dO3fo27cv1apVQ61WM2LEiOc+b8OGDdSsWRMzMzNq1qzJpk2bchOaEEIIUew4mDswuelkgtoFUc66HHeT7/Lp3k8ZtW8Uscmxr7Rvn0ol+GlgI6xMjTh4+R4DfzpKcloGx2884MMVx0nTaHmttjNTumWdCF2Pu86Huz4kPi0ez1KezGs9r1AmQgBlrMvwQ7sf+MbnGyyNLQmPCaf71u6sPLsSrfLkGkxhd8Po81sfvv7ra+49uoerjStzW81lSfsleZIIAYztWB0rUyNORD1kY/itJx5bHHyVLRG3MVarWNSvQbYTIYDWbq3Z8OYG6jnVIzE9kdH7RxNwKCCzhyY/RMREMGzPMLpu6crWK1vJUDLwcvYisG0g6zqv47WKrxXqRAjAyEhtcIkQwFv1ymJvaULk/WRWhFynx+IQfjkahUoFn7Wryv/8vIpMIpQTOU6G1qxZw4gRIxg/fjzh4eE0a9aMTp06ERkZ+dznp6amUqpUKcaPH4+n5/PHwoaEhNCrVy8GDBjAiRMnGDBgAD179uTIkSM5DU8IIYQotnxcfNjYZSODag3CSGXErhu76LK5C+surnvmJj4nGrk7suK9RlibGXP46n36LjnCwGVHeZSuoVmVkszpVTfLtUNuJ97mg10fcD/lPtUdq7Oo7SIsTQpfdan/UqlU9Kjag01dNuFdxpsUTQrTQ6czcMdAIuMjuZN4h9HBo/Hb4cfZv89iZWLFqAaj2NxlM63dWudpVTwnW3OGtakCwLTt50lI0ZWS/vPcXWb8cR4A/zc98KmU87LOzlbOLO2wlA9qf4AKFRsubaDvb325/OBynsWvVbQERwXjt92PAdsHsC9qHypUtHVry6rXVrG0w1Kalm1aoJUERc5ZmBrR+595QN9uO8upW3E4WJqwfGAjhrWp8tw5asVBjofJeXt7U79+fQIDAzO31ahRg65duzJ16tQsX9uyZUvq1q3L999//8T2Xr16ER8fz/bt2zO3dezYEQcHB3755ZdsxSXD5IQQQhTXYXLPc/7+eQIOBXDm7zMA1Heqj7+v/ystLhoe+YB3lh4lIUU3rKm+mz0r3/fG0vTFn+THJsfit8OPqIQo3O3c+anjT7meP6MviqKw7uI6vjv2HckZyZgbmaOgK+msQkW3Kt34pN4nlLTI/oKUOZWaoaHDnP1c/zuZj5pXpHuDcry16BCJqRn083Zj8lu1X/kYh+8c5ssDX3Lv0T3MjcwZ22gs3ap0y3WSkq5NZ8e1HSw9vZTLD3XJlYnahDcrvYmfh1+eljAXBeP2w0c0m7EXjVbB09WeRf3qU9a+cM3ryq58GSaXlpbG8ePHad++/RPb27dvz6FDh3IXKbqeoaf32aFDhyz3mZqaSnx8/BNfQgghDMvT14KEhAR9h1RgqjtW5+fXfuYLry+wMLYgLCaM7lu7ExgRSJomLVf7rOfmwM/ve1Pa1ox6bvYse7dRlonQg5QHfLjrQ6ISoihrXZYl7ZYUuUQIdL1EPav1ZGOXjXg763qJUjWpNCzdkLWd1xLgG5CviRCAmbER33SuCcDSv67x7rJQElMz8HZ3xL/z80sd51TjMo1Z13kdvi6+pGhSCAgJYMz+MSSmJeZoP8npyaw8u5LXN77OuIPjuPzwMlYmVgz0GMiOt3cQ4BsgiVAR5WJvwcK+9fn6jZqs/ahxkU2EciJHgzbv3buHRqOhdOknV5gtXbo00dHRuQ4iOjo6x/ucOnUq3377ba6PKYQQougz9GuBkdqIATUH0MatDZMOT+LArQMsOrGIHdd1N6T1nOrleJ91ytnz15jWGKlVWfYYJKQlMHj3YC4/vIyThRNL2i+htFXhWoE+p8palyWofRA7b+zE0tgy2+sF5ZXW1UvTqlop9l6I5dbDR5RzsGBRv+wvipsdJS1KEtg2kGWnlzE/fD7br2/n9N+nmdl8Jh4ls066HqQ80JXHPr+KuNQ4AEqYl6B/zf70rNYTW9Pi3RtrKDrWytu1ngq7XL27nj4xKIryyieLnO7zyy+/JC4uLvMrKirqlY4vhBCi6Hn6WnD27Fl9h6QXLtYuLGyzkJnNZ+Jo7sjVuKu8s/0dJoZMJCEt571lxkbqLK/ByenJfPLnJ5z9+ywOZg4sab9EL2Wb84NapaZjhY40L9dcL3Ncvn6jJqbGaixNjVjyTkNKWOd9EQq1Ss17td/jp44/4WLlQlRCFP2392fFmRU8b/bE7cTbTD0ylfbr2xN4IpC41DhcbVz5uvHX/NH9D96v/b4kQqLIylHPUMmSJTEyMnqmxyYmJuaZnp2ccHZ2zvE+zczMMDMrnFVqhBBCFIynrwWGPGRapVLR0b0jPi4+zD4+m42XNrL24lr2Ru1lnPc42pZvmyfHSdOkMWLvCMJiwrAxseGHdj9Q0T7385TEkyqWsmbH8GaYGKlzVDkuN+o61dUNAzwUwO7I3cw8NpOj0UeZ2GQiDuYOXHxwkaWnl7Lj2g40igaAGo41eK/2e7R1a6v3hXSFyAs56hkyNTWlQYMG7Nq164ntu3btwtfXN9dB+Pj4PLPPnTt3vtI+hRBCCENkZ2bHt77fsrTDUsrblif2USwj941k+J7h3E26+0r7TtemMzp4NCF3QrAwtmBR20XUKFEjjyIXj1UsZZ3vidBjdmZ2zG45m6+8v8JUbUrwzWC6b+vOkN1DeHvr2/x29Tc0iobGZRoT1C6INW+soUOFDpIIiWIjx4XeR40axYABA2jYsCE+Pj4EBQURGRnJ4MGDAd2QhVu3brFixYrM10RERACQmJhIbGwsERERmJqaUrOmbqLg8OHDad68OdOnT6dLly5s2bKF3bt3c/DgwTxoohBCCGF4vJy92PDmBn448QPLTi9jT9QejkQfYUT9EfSs1hO1Kmcj5bWKlq//+po9UXswVZsyr/U86jrVzZ/gRYFSqVT0qt6Luk51+Tz4c67HXycmOQa1Sk278u0YWGsgHiXypoiDEIVNjktrg27R1RkzZnDnzh1q1arFnDlzaN68OQDvvvsu169fZ9++ff8e5DljbsuXL8/169czf16/fj1fffUVV69epVKlSkyePJlu3bplOyYprS2EEMKQSmvnxKUHlwgICeBk7EkAPEt54u/jTxWHKtl6vaIoTDw8kXUX12GsMmZOqzm0dG2ZjxELfUlOT2ZRxCLSten0q9EPN1s3fYckRK5kNzfIVTJUGEkyJIQQQpKhF9NoNay9uJa5YXNJSk/CWG3MoFqD+LDOh5gZvXgOrqIofHfsO5afXY4KFdObT6eTe6cCjFwIIXIuX9YZEkIIIUTRZKQ2ok/1PmzuspmWri3J0GYQdDKI7lu7Exod+sLXLT6xmOVnlwMQ4BsgiZAQoliRZEgIIYQwIM5WzsxrNY/ZLWdTyqIU1+OvM+iPQQQcCshcO+ax5WeWs+jEIgDGeI2hW5XsD18XQoiiQJIhIYQQwsCoVCralW/H5q6b6VG1BwAbLm2gy+Yu7Li2A0VRWHdxHbOOzQLgk7qf0L9mf32GLIQQ+ULmDAkhhCg2ZM5Q7oTdDSMgJIBrcdcAqFuqLidiT6CgMLDWQEbWH6mXBUiFECK3ZM6QEEIIIbKlfun6rO+8no89P8ZEbUJEbAQKCr2q9ZJESAhRrOV4nSEhhBBCFD+mRqYMqTuEDhU6MD98Pm62bgyvP1wSISFEsSbJkBBCCCEyVbSvyJxWc/QdhhBCFAgZJieEEEIIIYQwSJIMCSGEEEIIIQySJENCCCGEEEIIgyTJkBBCCCGEEMIgSTIkhBBCCCGEMEiSDAkhhBBCCCEMkiRDQgghhBBCCIMkyZAQQgghhBDCIEkyJIQQQgghhDBIkgwJIYQQQgghDJIkQ0IIIYQQQgiDJMmQEEIIIYQQwiBJMiSEEEIIIYQwSJIMCSGEEEIIIQySsb4DyCuKogAQHx+v50iEEELoy+NrgFwLhBDCsD2+DjzOEV6k2CRDCQkJALi6uuo5EiGEEPom1wIhhBCgyxHs7Oxe+LhKeVm6VERotVpu376NjY0NKpUqV/uIj4/H1dWVqKgobG1t8zjCwkXaWvwYSjtB2lpc5UVbNRoNly9fpnLlyhgZGek1lqJM2i/tl/ZL+4t6+xVFISEhARcXF9TqF88MKjY9Q2q1mnLlyuXJvmxtbYv0f35OSFuLH0NpJ0hbi6tXbauXl1ehiaWok/ZL+6X90v6iLKseocekgIIQQgghhBDCIEkyJIQQQgghhDBIkgz9h5mZGf7+/piZmek7lHwnbS1+DKWdIG0trgpTWwtTLPog7Zf2S/ul/YbS/mJTQEEIIYQQQgghckJ6hoQQQgghhBAGSZIhIYQQQgghhEGSZEgIIYQQQghhkCQZEkIIIYQQQhgkSYb+Y9GiRbi7u2Nubk6DBg04cOCAvkPKc/v376dz5864uLigUqnYvHmzvkPKF1OnTsXLywsbGxucnJzo2rUrFy5c0HdY+SIwMJA6depkLo7m4+PD9u3b9R1Wvps6dSoqlYoRI0boO5R8ERAQgEqleuLL2dlZ32Hli1u3btG/f39KlCiBpaUldevW5fjx43qLxxCuBc9jSOfN7Cju55gXKWzvx4KUkZHBV199hbu7OxYWFlSsWJEJEyag1Wr1HVq+eNk9oaIoBAQE4OLigoWFBS1btuTMmTP6CTYfSTL0jzVr1jBixAjGjx9PeHg4zZo1o1OnTkRGRuo7tDyVlJSEp6cnCxYs0Hco+So4OJihQ4dy+PBhdu3aRUZGBu3btycpKUnfoeW5cuXKMW3aNI4dO8axY8do3bo1Xbp0KZYnrMdCQ0MJCgqiTp06+g4lX3l4eHDnzp3Mr1OnTuk7pDz34MEDmjRpgomJCdu3b+fs2bN899132Nvb6yUeQ7kWPI8hnTdfxlDOMU8rbO/HgjZ9+nQWL17MggULOHfuHDNmzGDmzJnMnz9f36Hli5fdE86YMYPZs2ezYMECQkNDcXZ2pl27diQkJBRwpPlMEYqiKEqjRo2UwYMHP7GtevXqytixY/UUUf4DlE2bNuk7jAIRExOjAEpwcLC+QykQDg4Oyo8//qjvMPJFQkKCUqVKFWXXrl1KixYtlOHDh+s7pHzh7++veHp66juMfDdmzBiladOm+g4jkyFeC17E0M6bjxnKOeZ5Ctv7saC9/vrryqBBg57Y1q1bN6V///56iqjgPH1PqNVqFWdnZ2XatGmZ21JSUhQ7Oztl8eLFeogw/0jPEJCWlsbx48dp3779E9vbt2/PoUOH9BSVyEtxcXEAODo66jmS/KXRaFi9ejVJSUn4+PjoO5x8MXToUF5//XXatm2r71Dy3aVLl3BxccHd3Z3evXtz9epVfYeU57Zu3UrDhg3p0aMHTk5O1KtXjyVLluglFrkWPMlQzptPM6RzzNMK0/tRH5o2bcqff/7JxYsXAThx4gQHDx7ktdde03NkBe/atWtER0c/cT40MzOjRYsWxe58aKzvAAqDe/fuodFoKF269BPbS5cuTXR0tJ6iEnlFURRGjRpF06ZNqVWrlr7DyRenTp3Cx8eHlJQUrK2t2bRpEzVr1tR3WHlu9erVhIWFERoaqu9Q8p23tzcrVqygatWq3L17l0mTJuHr68uZM2coUaKEvsPLM1evXiUwMJBRo0Yxbtw4jh49yqeffoqZmRnvvPNOgcYi14J/GcJ583kM6RzzPIXp/agPY8aMIS4ujurVq2NkZIRGo2Hy5Mn06dNH36EVuMfnvOedD2/cuKGPkPKNJEP/oVKpnvhZUZRntomi55NPPuHkyZMcPHhQ36Hkm2rVqhEREcHDhw/ZsGEDfn5+BAcHF6uEKCoqiuHDh7Nz507Mzc31HU6+69SpU+b3tWvXxsfHh0qVKrF8+XJGjRqlx8jyllarpWHDhkyZMgWAevXqcebMGQIDA/V28yXXAsM4bz7N0M4xz1MY348Fac2aNaxcuZJVq1bh4eFBREQEI0aMwMXFBT8/P32HpxeGcD6UYXJAyZIlMTIyeuaTv5iYmGcyYlG0DBs2jK1bt7J3717KlSun73DyjampKZUrV6Zhw4ZMnToVT09P5s6dq++w8tTx48eJiYmhQYMGGBsbY2xsTHBwMPPmzcPY2BiNRqPvEPOVlZUVtWvX5tKlS/oOJU+VKVPmmaS9Ro0aeilYINcCHUM5bz7N0M8xULjej/owevRoxo4dS+/evalduzYDBgxg5MiRTJ06Vd+hFbjH1UsN4XwoyRC6G8kGDRqwa9euJ7bv2rULX19fPUUlXoWiKHzyySds3LiRPXv24O7uru+QCpSiKKSmpuo7jDzVpk0bTp06RUREROZXw4YN6devHxERERgZGek7xHyVmprKuXPnKFOmjL5DyVNNmjR5pnzzxYsXKV++fIHHYujXAkM/bxr6OQYK1/tRH5KTk1Grn7w1NjIyKraltbPi7u6Os7PzE+fDtLQ0goODi935UIbJ/WPUqFEMGDCAhg0b4uPjQ1BQEJGRkQwePFjfoeWpxMRELl++nPnztWvXiIiIwNHRETc3Nz1GlreGDh3KqlWr2LJlCzY2NpmfbNjZ2WFhYaHn6PLWuHHj6NSpE66uriQkJLB69Wr27dvHjh079B1anrKxsXlm7oKVlRUlSpQolnMaPv/8czp37oybmxsxMTFMmjSJ+Pj4YjdUY+TIkfj6+jJlyhR69uzJ0aNHCQoKIigoSC/xGMq14HkM6bz5PIZ2jnmewvZ+LGidO3dm8uTJuLm54eHhQXh4OLNnz2bQoEH6Di1fvOyecMSIEUyZMoUqVapQpUoVpkyZgqWlJX379tVj1PlAf4XsCp+FCxcq5cuXV0xNTZX69esXy3Kie/fuVYBnvvz8/PQdWp56XhsBZdmyZfoOLc8NGjQo8++2VKlSSps2bZSdO3fqO6wCUZzL3vbq1UspU6aMYmJiori4uCjdunVTzpw5o++w8sW2bduUWrVqKWZmZkr16tWVoKAgvcZjCNeC5zGk82Z2FedzzIsUtvdjQYqPj1eGDx+uuLm5Kebm5krFihWV8ePHK6mpqfoOLV+87J5Qq9Uq/v7+irOzs2JmZqY0b95cOXXqlH6DzgcqRVGUgky+hBBCCCGEEKIwkDlDQgghhBBCCIMkyZAQQgghhBDCIEkyJIQQQgghhDBIkgwJIYQQQgghDJIkQ0IIIYQQQgiDJMmQEEIIIYQQwiBJMiSEEEIIIYQwSJIMCSGEEEIIIQySJENCCCGEEEIIgyTJkBBCCCGEEMIgSTIkhBBCCCGEMEiSDAkhhBBCCCEM0v8DVgiiYdRQ8zcAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5), sharey=True)\n\n# Plot the initial history on the left subplot\nax1.set_title('Initial Training Loss vs Validation Loss')\ntrain_label = '' \nval_label = ''\ncolors = ['blue', 'green', 'yellow', 'orange', 'red', 'black']\nfor i in range(min(fold, num_folds)):\n    train_label = 'Training Loss Fold ' + str(i+1)\n    val_label = 'Validation Loss Fold ' + str(i+1)\n    ax1.plot(initial_training_history[i].history['loss'], label=train_label, color=colors[i])\n    ax1.plot(initial_training_history[i].history['val_loss'], label=val_label, color=colors[i], linestyle = \"dashdot\")\nax1.legend()\n\n# Plot the fine-tuning history on the right subplot\nax2.set_title('Fine-tuning Training Loss vs Validation Loss')\ntrain_label = '' \nval_label = ''\ncolors = ['blue', 'green', 'yellow', 'orange', 'red', 'black']\nfor i in range(min(fold, num_folds)):\n    train_label = 'Training Loss Fold ' + str(i+1)\n    val_label = 'Validation Loss Fold ' + str(i+1)\n    ax2.plot(fine_tuning_history[i].history['loss'], label=train_label, color=colors[i])\n    ax2.plot(fine_tuning_history[i].history['val_loss'], label=val_label, color=colors[i], linestyle = \"dashdot\")\nax2.legend()\n\nplt.subplots_adjust(wspace=0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:38.950948Z","iopub.execute_input":"2023-04-16T08:30:38.951649Z","iopub.status.idle":"2023-04-16T08:30:39.397241Z","shell.execute_reply.started":"2023-04-16T08:30:38.951610Z","shell.execute_reply":"2023-04-16T08:30:39.396263Z"},"trusted":true},"execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x500 with 2 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAAzoAAAHBCAYAAAChe85HAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeXwN1/vA8c/NvkeESJAFkRAlSlBiX4sq1VZKiBC72Pf6IdqqpbYu6FdboaW2Um3tFK2lKpbYEqoaopWUWkJCEknO7480t272ROSGPO/Xa17cM8t57sydeXJmzsxolFIKIYQQQgghhHiOGOg7ACGEEEIIIYQoatLQEUIIIYQQQjx3pKEjhBBCCCGEeO5IQ0cIIYQQQgjx3JGGjhBCCCGEEOK5Iw0dIYQQQgghxHNHGjpCCCGEEEKI5440dIQQQgghhBDPHWnoCCGEEEIIIZ470tB5QitXrkSj0XD8+PFCza/RaAgJCdF+joiIICQkhCtXrmSZNjAwEDc3t0LVk9e8Bw4cQKPR5Gt4Ui1btqRly5aFmjckJKRIYniSuv/55x+91K9vN2/exMTEhLfeeivHae7du4eFhQWvvvpqvpebsQ89/psvyG898z6UX9evXyckJITw8PAs4/T5O3Nzc+OVV17RS93Pu4zfWnbD+PHjuXLlChqNhpUrV+olvu3btxfqt1xYbm5uBAYGFlt98N++lddQ2BzxuMIeG+DJ8tSTatmyJS+88IJe6i4JvvvuOzQaDZ9++mmO0+zZsweNRsPChQvzvdzs8kp+94GMv5EOHDiQ7/oyHDlyhJCQEO7evZtlnL5+ZxnHuvnz5xd73cXNSN8BlHa//PILlStX1n6OiIhg5syZtGzZMssOOW3aNEaNGvVU4qhXrx6//PKLTtlrr71GtWrVinxHWLp0aaHnHTBgAC+//HIRRiPyq3z58rz66qts2bKFO3fuYGdnl2WadevW8fDhQ4KCgp6orqf5W89w/fp1Zs6ciZubG3Xr1tUZJ7+z51toaCg1atTQKatYsSIVKlTgl19+oVq1anqJa/v27SxZsqTYGjvffvstNjY2xVJXhsz7VkxMDN27d2fEiBH06tVLW14UcWXOrwXxJHlKPJnOnTvj6OjIihUrGDJkSLbThIaGYmxsTJ8+fZ6oruLYB44cOcLMmTMJDAykTJkyOuPkd/b0SUNHz1566aV8T/s0k6+NjU2WWExNTSlTpkyuMSqlSExMxNzcPN91eXl5FTrOypUrFzpxiScXFBTEpk2bWLNmDcHBwVnGr1ixggoVKtC5c+cnqkdff2hmkN/Z8+2FF17Ax8cn23EFOSY/61588cVirzPzvpVxJdfFxSXXdf/o0SM0Gg1GRvn/s+VJtuWT5CnxZIyMjAgICGDevHmcO3cuy9Wtu3fv8u233/Lqq69Svnz5J6pLH/vA4+R39vRJ17WnIDAwECsrK37//Xc6deqElZUVzs7OjBs3jqSkJJ1pH7+0vnLlSt58800AWrVqpb2En9GNIrvLrkuWLKF58+Y4ODhgaWlJ7dq1mTdvHo8ePXoq302j0RAcHMynn35KzZo1MTU1ZdWqVQDMnDmTRo0aUbZsWWxsbKhXrx5ffPEFSimdZWS+VPv4JdSFCxdSpUoVrKysaNy4MUePHtWZN7suRRldfXbu3Em9evUwNzenRo0arFixIkv8hw4donHjxpiZmVGpUiWmTZvG559/nqXr1JP4/vvvady4MRYWFlhbW9OuXbssV8tu3rzJoEGDcHZ2xtTUlPLly+Pr68vevXu105w6dYpXXnkFBwcHTE1NqVixIp07d+bPP//Mse7Ro0djaWnJvXv3sozz8/OjQoUK2t/Gvn37aNmyJfb29pibm+Pi4sLrr7/OgwcPclx+hw4dqFy5MqGhoVnGRUZG8uuvvxIQEICRkRF79uyha9euVK5cGTMzM9zd3Rk8eHC+uv5l91u/d+8eAwcOxN7eHisrK15++WV+++23LPP+/vvv9OvXj+rVq2NhYUGlSpXo0qULZ8+e1U5z4MABGjRoAEC/fv20+1rGvpjd7ywtLY158+ZRo0YNTE1NcXBwICAgIMv2yOh2EhYWRrNmzbCwsKBq1arMmTOHtLS0PL97fiQmJjJlyhSqVKmCiYkJlSpVYvjw4Vm6RuRnGy9btgxvb2+srKywtramRo0avP3220US57Mmu65rGb+F8+fP07NnT2xtbalQoQL9+/cnLi5OZ36lFEuXLqVu3bqYm5tjZ2fHG2+8wR9//JFn3YGBgSxZsgRApwvXlStXcu1Sl7l7VkHizdxtJ6N7ztq1a5k6dSoVK1bExsaGtm3bcvHixSzf9f3338fV1RUzMzN8fHzYs2dPkXTFyYjjq6++Yty4cVSqVAlTU1N+//13bt68ybBhw/Dy8sLKygoHBwdat27NwYMH81w3GV0X9+/fz9ChQylXrhz29vZ0796d69ev68z7JHkK4LPPPsPDwwNTU1O8vLz4+uuvn6j7eWb5PR7lJ49s3LiRRo0aYWtrqz1e9e/fP9f6X3zxRZo1a5alPDU1lUqVKtG9e3dtWWGOMRm9ArLLNWvXriUxMVEb45P8HZRd17ULFy7w8ssvY2FhQbly5RgyZAj379/PMm9+clxISAgTJkwAoEqVKtr9OqMLXHb7y+3btxk2bBiVKlXCxMSEqlWrMnXq1Gz/fgwODuarr76iZs2aWFhY4O3tzdatW/P83vkVHR1N7969tb+fmjVrsmDBgiy5LK9t/ODBA8aPH0+VKlUwMzOjbNmy+Pj4sHbt2iKLNSdyRecpefToEa+++ipBQUGMGzeOn3/+mXfffRdbW1umT5+e7TydO3fm/fff5+2332bJkiXUq1cPyP3s9uXLl+nVq5f2D57Tp08za9YsLly4kO0f+kVhy5YtHDx4kOnTp+Po6IiDgwOQnggGDx6Mi4sLAEePHmXEiBH89ddfOX7nxy1ZsoQaNWqwePFiIL37UqdOnYiKisLW1jbXeU+fPs24ceOYPHkyFSpU4PPPPycoKAh3d3eaN28OwJkzZ2jXrh0eHh6sWrUKCwsLPv30U1avXv0Ea0PX119/jb+/P+3bt2ft2rUkJSUxb948WrZsyY8//kjTpk0B6NOnDydPnmTWrFl4eHhw9+5dTp48ya1btwBISEigXbt2VKlShSVLllChQgViY2PZv39/tgfcDP379+fDDz9kw4YNDBgwQFt+9+5dvvvuO4YPH46xsTFXrlyhc+fONGvWjBUrVlCmTBn++usvdu7cSXJyMhYWFtku38DAgMDAQN577z1Onz6Nt7e3dlxGQspIPpcvX6Zx48YMGDAAW1tbrly5wsKFC2natClnz57F2Ng43+tVKUW3bt04cuQI06dPp0GDBhw+fJiOHTtmmfb69evY29szZ84cypcvz+3bt1m1ahWNGjXi1KlTeHp6Uq9ePUJDQ+nXrx//93//p70CldtVnKFDh7J8+XKCg4N55ZVXuHLlCtOmTePAgQOcPHmScuXKaaeNjY3F39+fcePGMWPGDL799lumTJlCxYoVCQgIyPf3zm1d/Pjjj0yZMoVmzZpx5swZZsyYwS+//MIvv/yCqalpvrbxunXrGDZsGCNGjGD+/PkYGBjw+++/ExER8UQxlnSpqamkpKTolOV1peD111/Hz8+PoKAgzp49y5QpUwB0jrODBw9m5cqVjBw5krlz53L79m3eeecdmjRpwunTp6lQoUKOy582bRoJCQl88803OidGnJyciImJKfB3zE+8OXn77bfx9fXl888/5969e0yaNIkuXboQGRmJoaEhAFOnTmX27NkMGjSI7t27c+3aNQYMGMCjR4/w8PAocLzZmTJlCo0bN+bTTz/FwMAABwcHbt68CcCMGTNwdHQkPj6eb7/9VnuMzU8ja8CAAXTu3Jmvv/6aa9euMWHCBHr37s2+ffvynDc/eWr58uUMHjyY119/nUWLFhEXF8fMmTOz/KH6JPJzPMpPHvnll1/w8/PDz8+PkJAQzMzMuHr1ap7rol+/fowaNYpLly5RvXp1bfnu3bu5fv06/fr1Ayj0McbDw4OmTZuyevVq5syZo5MvQkNDqVSpEh06dACK9u+gv//+mxYtWmBsbMzSpUupUKFCjj0Y8pPjBgwYwO3bt/n444/ZvHkzTk5OQM5XchITE2nVqhWXL19m5syZ1KlTh4MHDzJ79mzCw8PZtm2bzvTbtm0jLCyMd955BysrK+bNm8drr73GxYsXqVq1aoG+e2Y3b96kSZMmJCcn8+677+Lm5sbWrVsZP348ly9f1na7y882Hjt2LF999RXvvfceL774IgkJCZw7d077N89TpcQTCQ0NVYAKCwvTlvXt21cBasOGDTrTdurUSXl6euqUAWrGjBnazxs3blSA2r9/f5a6+vbtq1xdXXOMJTU1VT169Eh9+eWXytDQUN2+fTvf82bH1dVVde7cOUu8tra2OsvOLZZ33nlH2dvbq7S0NO24Fi1aqBYtWmg/R0VFKUDVrl1bpaSkaMuPHTumALV27Vpt2YwZM1Tmn62rq6syMzNTV69e1ZY9fPhQlS1bVg0ePFhb9uabbypLS0t18+ZNnTi9vLwUoKKionL9Thl1Pz5/5u9csWJFVbt2bZWamqotv3//vnJwcFBNmjTRlllZWanRo0fnWNfx48cVoLZs2ZJrTNmpV6+eTl1KKbV06VIFqLNnzyqllPrmm28UoMLDwwu8/D/++ENpNBo1cuRIbdmjR4+Uo6Oj8vX1zXaetLQ09ejRI3X16lUFqO+++047LmMfenz9Z/697tixQwHqww8/1FnurFmzsuxDmaWkpKjk5GRVvXp1NWbMGG15WFiYAlRoaGiWeTL/ziIjIxWghg0bpjPdr7/+qgD19ttva8tatGihAPXrr7/qTOvl5aU6dOiQY5wZstvvHrdz504FqHnz5umUr1+/XgFq+fLlSqn8bePg4GBVpkyZPGN6XmT81rIbHj16pD0WPf6byPgtZF7fw4YNU2ZmZtpj2y+//KIAtWDBAp3prl27pszNzdXEiRPzjG/48OFZjm9KqWzjypD595/feJVK/6317dtX+3n//v0KUJ06ddKZd8OGDQpQv/zyi1JKqdu3bytTU1Pl5+enM13GOnj8+J6XjO/2wQcfZImjefPmec6fkpKiHj16pNq0aaNee+01nXGZ103G9s+8H8+bN08BKiYmRltW2DyVmpqqHB0dVaNGjXTquHr1qjI2Ns5XHm7RooWqVatWjuPzezzKTx6ZP3++AtTdu3fzjOtx//zzjzIxMdE59imlVI8ePVSFChXUo0ePlFJPdozJ2F6bN2/Wlp07d04BaurUqdnOU9C/gzLvA5MmTVIajSbLcbNdu3Y5/m2mVO457oMPPsjxb4zMv7NPP/00278f586dqwC1e/dubRmgKlSooO7du6cti42NVQYGBmr27NnZxpkhu/0us8mTJ2eby4YOHao0Go26ePGiUip/2/iFF15Q3bp1y3Wap0W6rj0lGo2GLl266JTVqVOHq1evFmk9p06d4tVXX8Xe3h5DQ0OMjY0JCAggNTU12249RaF169bZ3oi+b98+2rZti62trTaW6dOnc+vWLW7cuJHncjt37qw9Wwjp6wvI1zqrW7eu9koSgJmZGR4eHjrz/vTTT7Ru3VrnzLuBgQE9evTIc/n5cfHiRa5fv06fPn0wMPhv17KysuL111/n6NGj2i5DDRs2ZOXKlbz33nscPXo0yyV2d3d37OzsmDRpEp9++mmBzrD369ePI0eO6HQ1CQ0NpUGDBtq+znXr1sXExIRBgwaxatWqfHWtyVClShVatWrFmjVrSE5OBmDHjh3ExsbqdHe4ceMGQ4YMwdnZGSMjI4yNjXF1dQXSu7kVxP79+wHw9/fXKX/85uUMKSkpvP/++3h5eWFiYoKRkREmJiZcunSpwPVmrj9zF4eGDRtSs2ZNfvzxR51yR0dHGjZsqFNWVPt/xpnWzLG8+eabWFpaamPJzzZu2LAhd+/epWfPnnz33Xel5omCX375JWFhYTpDXld0Mj9JsE6dOiQmJmqPbVu3bkWj0dC7d29SUlK0g6OjI97e3tquKkopnfGZrywVlbziLei88N+x+OjRoyQlJWU5dr700ktF1jUL0q9KZefTTz+lXr16mJmZaY8tP/74Y77377y+X27yylMXL14kNjY2y7pxcXHB19c3X/HlJb/Ho/zkkYwuvD169GDDhg389ddf+YrB3t6eLl26sGrVKm03pjt37vDdd99puy9nxFTYY0yPHj2wtrbWuSqzYsUKNBqN9ooRFO3fQfv376dWrVo6vRUg+1xTlDkuw759+7C0tOSNN97QKc/Y1plzTatWrbC2ttZ+rlChAg4ODkWWa7y8vLLkssDAQJRS2lyUn23csGFDduzYweTJkzlw4AAPHz584vjySxo6T4mFhQVmZmY6ZaampiQmJhZZHdHR0TRr1oy//vqLDz/8kIMHDxIWFqbt5/20fkgZl14fd+zYMdq3bw+k900+fPgwYWFhTJ06Nd+x2Nvb63w2NTUt9LwZ8z8+761bt7LtOpJbd5KCyLgEm936qVixImlpady5cweA9evX07dvXz7//HMaN25M2bJlCQgIIDY2FgBbW1t++ukn6taty9tvv02tWrWoWLEiM2bMyLPfsb+/P6amptr+/BEREYSFhekkhmrVqrF3714cHBwYPnw41apVo1q1anz44Yf5+q5BQUHcunWL77//HkhvSFlZWWmTe1paGu3bt2fz5s1MnDiRH3/8kWPHjmn7shf0t3nr1i2MjIyybGdHR8cs044dO5Zp06bRrVs3fvjhB3799VfCwsLw9vYu9D6R17bNfPk9P7/HwspYF5lvwtVoNDg6Ompjyc827tOnDytWrODq1au8/vrrODg40KhRI/bs2fPEcZZkNWvWxMfHR2fIS17Hp7///hulFBUqVMDY2FhnOHr0qDb5r1q1Ksv4p6Eoj6eZ5834jT3N4ylkv78tXLiQoUOH0qhRIzZt2sTRo0cJCwvj5Zdfzvf+9ayvm/wej/KTR5o3b86WLVtISUkhICCAypUr88ILL+Tr3on+/fvz119/aY8XGd21H2+APckxxsLCgrfeeoudO3cSGxtLSkoKq1evpkWLFtou/UX9d9CtW7eyzSuZy4o6x2WuP/M9og4ODhgZGRV7rsnpN5YxHvK3jT/66CMmTZrEli1baNWqFWXLlqVbt25cunTpiePMizR0nmFbtmwhISGBzZs307t3b5o2bYqPjw8mJiZPtd7s3i+ybt06jI2N2bp1Kz169KBJkyb5+uOhONnb2/P3339nKc9oXBTF8oFs+9Nfv34dAwMD7ZWwcuXKsXjxYq5cucLVq1eZPXs2mzdv1kkQtWvXZt26ddy6dYvw8HD8/Px45513WLBgQa5x2NnZ0bVrV7788ktSU1MJDQ3FzMyMnj176kzXrFkzfvjhB+Li4jh69CiNGzdm9OjRrFu3Ls/v2r17d+zs7FixYgU3b95k69at+Pn5YWVlBcC5c+c4ffo0H3zwASNGjKBly5Y0aNAg24Nyftjb25OSkpLlIJ/dtlu9ejUBAQG8//77dOjQgYYNG+Lj4/NEVyvy2raPXyV82jLWRca9ChmUUsTGxurEkp9tnHEFMC4ujm3btqGU4pVXXinyq8/Pu3LlyqHRaDh06FCWq0VhYWFs2bIFgC5dumQZl5eMk2aZ7/Eolv7t2cjYH57m8RSyzzWrV6+mZcuWLFu2jM6dO9OoUSN8fHxyvXexOBXHuinI8Sg/eaRr1678+OOPxMXFceDAASpXrkyvXr2yPEQnsw4dOlCxYkXt/ZmhoaE0atQoy/0nT3KMCQoKIiUlhS+//JKtW7dy48YNndcXFPXfQfb29tlup8xlRZ3jHq8/46TJ427cuEFKSkqx55qcfmOATix5bWNLS0tmzpzJhQsXiI2NZdmyZRw9ejRLz6enQRo6JUxBzixlJIGMeSD9j53PPvvs6QSXRyxGRkY6l/QfPnzIV199Veyx5KRFixbs27dP5w/etLQ0Nm7cWCTL9/T0pFKlSnz99dc6B6mEhAQ2bdqkfRJbZi4uLgQHB9OuXTtOnjyZZbxGo8Hb25tFixZRpkyZbKfJrF+/fly/fp3t27ezevVqXnvttSzP789gaGhIo0aNtGfA8rN8MzMzevXqxe7du5k7dy6PHj3S6baW3W8T4H//+1+ey85Oq1atAFizZo1O+ddff51lWo1Gk6Xebdu2ZemSUZB9rXXr1gBZHlwRFhZGZGQkbdq0yXMZRSWjrsyxbNq0iYSEhGxjyc82trS0pGPHjkydOpXk5GTOnz//FKJ/fr3yyisopfjrr7+yXC3y8fGhdu3aQPofDzldTcrpN1mhQgXMzMw4c+aMTvl33333lL9V9ho1aoSpqSnr16/XKT969OhTbyBnt3+fOXMmzz/Ki4unpyeOjo5s2LBBpzw6OpojR44USR2FOR7lJ4+YmprSokUL5s6dC6R3CcuNoaEhffr00T6g6Pjx47k+ra0wx5hGjRrxwgsvEBoaSmhoKLa2tjpdGov676BWrVpx/vx5Tp8+rVOeOdcUJMcVJNe0adOG+Ph47YmRDF9++aV2fHFp06YNERERWX4rX375JRqNRpuXH5efbVyhQgUCAwPp2bMnFy9ezPVJr0VBnrpWwmTcQ7F8+XKsra0xMzOjSpUq2Z4laNeuHSYmJvTs2ZOJEyeSmJjIsmXLtN2jilPnzp1ZuHAhvXr1YtCgQdy6dYv58+dnOQjo09SpU/nhhx9o06YNU6dOxdzcnE8//ZSEhAQAnftqcvPDDz/o9InN8MYbbzBv3jz8/f155ZVXGDx4MElJSXzwwQfcvXuXOXPmABAXF0erVq3o1asXNWrUwNramrCwMHbu3Kl9JOfWrVtZunQp3bp1o2rVqiil2Lx5M3fv3qVdu3Z5xti+fXsqV67MsGHDiI2N1em2Bul93Pft20fnzp1xcXEhMTFR2w+6bdu2+VoPQUFBLFmyhIULF1KjRg2aNGmiHVejRg2qVavG5MmTUUpRtmxZfvjhh0J3iWrfvj3Nmzdn4sSJJCQk4OPjw+HDh7NtSL/yyiusXLmSGjVqUKdOHU6cOMEHH3yQ5Ylq1apVw9zcnDVr1lCzZk2srKyoWLGi9rL84zw9PRk0aBAff/wxBgYGdOzYUfuUI2dnZ8aMGVOo75WT2NhYvvnmmyzlbm5utGvXjg4dOjBp0iTu3buHr6+v9qlrL774ovYFevnZxgMHDsTc3BxfX1+cnJyIjY1l9uzZ2Nraavvui/zx9fVl0KBB9OvXj+PHj9O8eXMsLS2JiYnh0KFD1K5dm6FDh+a6jIzG0Ny5c+nYsSOGhobUqVMHExMTevfuzYoVK6hWrRre3t4cO3Ys24Z+cShbtixjx45l9uzZ2NnZ8dprr/Hnn38yc+ZMnJyc8n0sLYxXXnmFd999lxkzZtCiRQsuXrzIO++8Q5UqVZ7a/U4FYWBgwMyZMxk8eDBvvPEG/fv35+7duwVeN/fu3cv2GFC+fHlatGiRr+NRfvLI9OnT+fPPP2nTpg2VK1fm7t27fPjhhxgbG9OiRYs84+zfvz9z586lV69emJub4+fnpzO+KI4x/fv3Z+zYsVy8eJHBgwfrvLevqP8OGj16NCtWrKBz586899572qeuXbhwQWe6guS4jP36ww8/pG/fvhgbG+Pp6Znt3xEBAQEsWbKEvn37cuXKFWrXrs2hQ4d4//336dSpU77zc36dPXs2299ZgwYNGDNmDF9++SWdO3fmnXfewdXVlW3btrF06VKGDh2qfbpifrZxo0aNeOWVV6hTpw52dnZERkby1Vdf5XgCuEgV//MPni85PXXN0tIyy7TZPTGMbJ4YtXjxYlWlShVlaGio86Sd7J4Y8sMPPyhvb29lZmamKlWqpCZMmKB9QtXjTwcpyqeuDR8+PNvpV6xYoTw9PZWpqamqWrWqmj17tvriiy+yPG0kp6fZZPf0j8zrJ6enrmX3lKrM9Sil1MGDB1WjRo2UqampcnR0VBMmTNA+zSSvp85k1J3TkGHLli2qUaNGyszMTFlaWqo2bdqow4cPa8cnJiaqIUOGqDp16igbGxtlbm6uPD091YwZM1RCQoJSSqkLFy6onj17qmrVqilzc3Nla2urGjZsqFauXJlrjI97++23FaCcnZ11ngKnVPrTkV577TXl6uqqTE1Nlb29vWrRooX6/vvv8718pZR68cUXs33Ck1JKRUREqHbt2ilra2tlZ2en3nzzTRUdHZ3jk5Bye+qaUkrdvXtX9e/fX5UpU0ZZWFiodu3aqQsXLmRZ3p07d1RQUJBycHBQFhYWqmnTpurgwYPZ/h7Wrl2ratSooYyNjXWWk93vLDU1Vc2dO1d5eHgoY2NjVa5cOdW7d2917do1nelyemJSfvdBV1fXHH9jGU8HevjwoZo0aZJydXVVxsbGysnJSQ0dOlTduXNHu5z8bONVq1apVq1aqQoVKigTExNVsWJF1aNHD3XmzJk843wWZXe8flxuT13L/LTF7H63SqUfBxs1aqQsLS2Vubm5qlatmgoICFDHjx/PM76kpCQ1YMAAVb58eaXRaHSWHxcXpwYMGKAqVKigLC0tVZcuXdSVK1dyPEbmJ96cnrq2cePGPNdLWlqaeu+991TlypWViYmJqlOnjtq6davy9vbO8vSz3OT21LXMcWSso/Hjx6tKlSopMzMzVa9ePbVly5Zs96+cjjWZt39GfY/nzCfJU0optXz5cuXu7q5MTEyUh4eHWrFiheratat68cUX81wnGU9uzG7IiCk/x6P85JGtW7eqjh07qkqVKikTExPl4OCgOnXqpA4ePJhnnBmaNGmiAOXv759lXFEcY27evKlMTEwUoI4dO5Zl/JP8HZR5H1Dqv9xlZmamypYtq4KCgtR3332XZXn5zXFKKTVlyhRVsWJFZWBgoLOc7PLSrVu31JAhQ5STk5MyMjJSrq6uasqUKSoxMVFnupz+HsvuO2WW8XvOacjY169evap69eql7O3tlbGxsfL09FQffPCBzt8U+dnGkydPVj4+PsrOzk77N+KYMWPUP//8k2ucRUGjVKaOgEKUMu3bt+fKlStP7Sl1QghRGkRFRVGjRg1mzJhRal86m5O7d+/i4eFBt27dWL58ub7DEaLUkK5rolQZO3YsL774Is7Ozty+fZs1a9awZ88evvjiC32HJoQQz4zTp0+zdu1amjRpgo2NDRcvXmTevHnY2Njo3CxeGsXGxjJr1ixatWqFvb09V69eZdGiRdy/f59Ro0bpOzwhShVp6IhSJTU1lenTpxMbG4tGo8HLy4uvvvqK3r176zs0IYR4ZlhaWnL8+HG++OIL7t69i62tLS1btmTWrFlF+ojpZ5GpqSlXrlxh2LBh3L59GwsLC1566SU+/fRTatWqpe/whChVpOuaEEIIIYQQ4rkjj5cWQgghhBBCPHekoSOEEEIIIYR47khDRwghhBBCCPHceSYeRpCWlsb169extrbWvo1WCCFE6ZKamsrvv/+Ou7s7hoaG+g5HCCGEniiluH//PhUrVsz1RbzPREPn+vXrODs76zsMIYQQQgghRAlx7do1KleunOP4Z6KhY21tDaR/GRsbGz1HI4QQQh/+/PNPatWqJblACCFKuXv37uHs7KxtI+TkmWjoZHRXs7GxkeQmhBClVMbxX3KBEEIIIM9bWuRhBEIIIYQQQojnjjR0hBBCCCGEEM8daegIIYQQQgghnjvPxD06Qjyv0tLSSE5O1ncYQpQYJiYmuT4qVIjnVWpqKo8ePdJ3GEKUCMbGxkXyGgFp6AihJ8nJyURFRZGWlqbvUIQoMQwMDKhSpQomJib6DkWIYqGUIjY2lrt37+o7FCFKlDJlyuDo6PhE79CUho4QeqCUIiYmBkNDQ5ydneUMthD893LomJgYXFxc5AXRolTIaOQ4ODhgYWEhv3tR6imlePDgATdu3ADAycmp0MuSho4QepCSksKDBw+oWLEiFhYW+g5HiBKjfPnyXL9+nZSUFIyNjfUdjhBPVWpqqraRY29vr+9whCgxzM3NAbhx4wYODg6F7sYmp5GF0IPU1FQA6Z4jRCYZ+0TGPiLE8yzjnhw54SVEVhn7xZPcuyYNHSH0SLooCKFL9glRGsnvXoisimK/kIaOEEIIIYQQ4rkjDR0hhF61bNmS0aNH53v6K1euoNFoCA8Pf2oxPW8CAwPp1q1brtMUdDsIIURRklzw9JXGXCANHSFEvmg0mlyHwMDAQi138+bNvPvuu/me3tnZmZiYGF544YVC1ZdfJSmJhoSEZLvO9+7dW2wxxMTE0KtXLzw9PTEwMHiuEqEQIv8kF+iP5IKCk6euCSHyJSYmRvv/9evXM336dC5evKgty3hCSoZHjx7l66lZZcuWLVAchoaGODo6Fmie50GtWrWyJLOCrrsnkZSURPny5Zk6dSqLFi0qtnqFECWL5AL9klxQMKXmik5iIqxYAbdu6TsSIZ5Njo6O2sHW1haNRqP9nJiYSJkyZdiwYQMtW7bEzMyM1atXc+vWLXr27EnlypWxsLCgdu3arF27Vme5mS+Tu7m58f7779O/f3+sra1xcXFh+fLl2vGZz64dOHAAjUbDjz/+iI+PDxYWFjRp0kQn8QK89957ODg4YG1tzYABA5g8eTJ169Yt9PpISkpi5MiRODg4YGZmRtOmTQkLC9OOv3PnDv7+/pQvXx5zc3OqV69OaGgokP6y2ODgYJycnDAzM8PNzY3Zs2fnWp+RkZHONnB0dNQ+oezs2bO0bt0ac3Nz7O3tGTRoEPHx8TkuKyEhgYCAAKysrHBycmLBggV5fl83Nzc+/PBDAgICsLW1zc8qEkI8hyQX6JJcULKVmoZO164QFAT/+5++IxEiK6UgIUE/g1JF9z0mTZrEyJEjiYyMpEOHDiQmJlK/fn22bt3KuXPnGDRoEH369OHXX3/NdTkLFizAx8eHU6dOMWzYMIYOHcqFCxdynWfq1KksWLCA48ePY2RkRP/+/bXj1qxZw6xZs5g7dy4nTpzAxcWFZcuWPdF3nThxIps2bWLVqlWcPHkSd3d3OnTowO3btwGYNm0aERER7Nixg8jISJYtW0a5cuUA+Oijj/j+++/ZsGEDFy9eZPXq1bi5uRUqjgcPHvDyyy9jZ2dHWFgYGzduZO/evQQHB+c4z4QJE9i/fz/ffvstu3fv5sCBA5w4caJQ9Qshipa+8oHkgsKRXFDCqWdAXFycAlRcXFyhl/HVV0qBUk5OSiUlFWFwQhTCw4cPVUREhHr48KFSSqn4+PTfpz6G+PiCxx8aGqpsbW21n6OiohSgFi9enOe8nTp1UuPGjdN+btGihRo1apT2s6urq+rdu7f2c1pamnJwcFDLli3TqevUqVNKKaX279+vALV3717tPNu2bVOAdv02atRIDR8+XCcOX19f5e3tnWOcmet5XHx8vDI2NlZr1qzRliUnJ6uKFSuqefPmKaWU6tKli+rXr1+2yx4xYoRq3bq1SktLy7H+x82YMUMZGBgoS0tL7dCgQQOllFLLly9XdnZ2Kv6xDblt2zZlYGCgYmNjlVJK9e3bV3Xt2lUppdT9+/eViYmJWrdunXb6W7duKXNzc53tkJvM26woZd43Hnft2rUnzgVClCTZ/d71lQ8kF2RPckHOnmYuUCr3fJDftkGpuaLTowdUrAgxMbB+vb6jEeL55OPjo/M5NTWVWbNmUadOHezt7bGysmL37t1ER0fnupw6depo/5/RLeLGjRv5nsfJyQlAO8/Fixdp2LChzvSZPxfE5cuXefToEb6+vtoyY2NjGjZsSGRkJABDhw5l3bp11K1bl4kTJ3LkyBHttIGBgYSHh+Pp6cnIkSPZvXt3nnV6enoSHh6uHTZt2gRAZGQk3t7eWFpaaqf19fUlLS0tS5eNjNiTk5Np3Lixtqxs2bJ4enoWfEUIIUQ2JBdILigpSs3DCExMIDgY3n4bFi6E3r1B3s8lSgoLC8ilG+1Tr7uoPH6AhfRuB4sWLWLx4sXUrl0bS0tLRo8eTXJycq7LyXzjqkajIS0tLd/zZLxk7PF5Mr94TD1BP42MebNbZkZZx44duXr1Ktu2bWPv3r20adOG4cOHM3/+fOrVq0dUVBQ7duxg79699OjRg7Zt2/LNN9/kWKeJiQnu7u7ZxpLTS9WyK3+S7y2EePr0lQ8kFxSc5IKSr9Rc0QEYPDh9Rw4PhwMH9B2NEP/RaMDSUj/D02zwHzx4kK5du9K7d2+8vb2pWrUqly5denoV5sDT05Njx47plB0/frzQy3N3d8fExIRDhw5pyx49esTx48epWbOmtqx8+fIEBgayevVqFi9erHMjrY2NDX5+fnz22WesX7+eTZs2aft0F4SXlxfh4eEkJCRoyw4fPoyBgQEeHh7Zxm5sbMzRo0e1ZXfu3OG3334rcN1CiKKnr3wguaDgJBeUfKXmig5A2bIQGAhLl6Zf1WnVSt8RCfF8c3d3Z9OmTRw5cgQ7OzsWLlxIbGysTgIoDiNGjGDgwIH4+PjQpEkT1q9fz5kzZ6hatWqe82Z3yd/Ly4uhQ4cyYcIEypYti4uLC/PmzePBgwcEBQUBMH36dOrXr0+tWrVISkpi69at2u+9aNEinJycqFu3LgYGBmzcuBFHR0fKlClT4O/m7+/PjBkz6Nu3LyEhIdy8eZMRI0bQp08fKlSokGV6KysrgoKCmDBhAvb29lSoUIGpU6diYJD3ea+MpxvFx8dz8+ZNwsPDMTExwcvLq8BxCyFKD8kFkgv0pVQ1dEhLYdRIQ5Yt07B1K1y8CM9ZV0QhSpRp06YRFRVFhw4dsLCwYNCgQXTr1o24uLhijcPf358//viD8ePHk5iYSI8ePQgMDMxyZi87b731VpayqKgo5syZQ1paGn369OH+/fv4+Piwa9cu7OzsgPTuBVOmTOHKlSuYm5vTrFkz1q1bB6QnmLlz53Lp0iUMDQ1p0KAB27dvz1eCyczCwoJdu3YxatQoGjRogIWFBa+//joLFy7McZ4PPviA+Ph4Xn31VaytrRk3bly+tsmLL76o/f+JEyf4+uuvcXV15cqVKwWOWwhRekgukFygLxr1DHTSu3fvHra2tsTFxWFjY1O4hVxaBufnQOOVdB3Uiu+/h6FD06/uCFHcEhMTiYqKokqVKpiZmek7nFKpXbt2ODo68tVXX+k7FPGY3PaNP//8E2dn5yfLBUKUIJIL9E9yQcmV2/6R37ZB6bmic/ccPIiGyPmMHZve0Fm5Et59F+zt9R2cEOJpevDgAZ9++ikdOnTA0NCQtWvXsnfvXvbs2aPv0IQQQhQTyQWlT+l5GEGNMYAGrm+nufd56tWDhw/lBaJClAYajYbt27fTrFkz6tevzw8//MCmTZto27atvkMTQghRTCQXlD6l54qOtTs4vwbXNqO5sJAxY76gTx/4+GMYNw5MTfUdoBDiaTE3N2fv3r36DkMIIYQeSS4ofUrPFR3gofvw9P9cWU2PLjFUrAixsfICUSGEEEIIIZ43paahM+vnWVT88nVuW9aEtGRMrnzCiBHp4xYuhJL/SAYhhBBCCCFEfpWahs7dxLvcTbzL4nv/9ta7tIxB/eOxsIDTp2H/fv3GJ4QQQgghhCg6paahM6LRCAw1hsz64yxJ5s6QfIeyd0Lp1y99/KJF+o1PCCGEEEIIUXRKTUPHxdaFN7zeIA1Yl1IxvfDCIkaNTEGjQfsCUSGEEEIIIcSzr9Q0dADGvDQGgFG/nSTNxA4Soqhu9i1duqSPX7xYf7EJIYQQQgghik6paug0qtyQxpUbE5fyiJ9MXkgvjPiAsWPSn0SwahX8848eAxSiFGjZsiWjR4/WfnZzc2NxHmcZNBoNW7ZseeK6i2o5pUVxbhshROkiueDZ8SzngkI1dJYuXUqVKlUwMzOjfv36HDx4MMdpAwMD0Wg0WYZatWoVOujCWQ/U5d1WrwAw7NJ5lIEp3A6jec1D8gJRIfLQpUuXHF+q9ssvv6DRaDh58mSBlxsWFsagQYOeNDwdISEh1K1bN0t5TEwMHTt2LNK6Mlu5ciVlypR5qnXkV8uWLbM9/qakpBRbDD///DNdunShYsWKJTYRCiHyT3JB/kgu0KWvXFDghs769esZPXo0U6dO5dSpUzRr1oyOHTsSHR2d7fQffvghMTEx2uHatWuULVuWN99884mDL5idwBlaVQnD1daVC/G3uWDdEADNhfmMHZs+1SefQFJSMYcmxDMgKCiIffv2cfXq1SzjVqxYQd26dalXr16Bl1u+fHksLCyKIsQ8OTo6YlrK3g48cOBAnWNwTEwMRkbF967ohIQEvL29+eSTT4qtTiHE0yO54NlUWnNBgRs6CxcuJCgoiAEDBlCzZk0WL16Ms7Mzy5Yty3Z6W1tbHB0dtcPx48e5c+cO/TIed1ZsJoICA813zGjxFgDjr11PH/XX97z58kUqVZIXiAqRk1deeQUHBwdWrlypU/7gwQPWr19PUFAQt27domfPnlSuXBkLCwtq167N2rVrc11u5kvily5donnz5piZmeHl5cWePXuyzDNp0iQ8PDywsLCgatWqTJs2jUePHgHpZ9FmzpzJ6dOntWetMmLOfBbp7NmztG7dGnNzc+zt7Rk0aBDx8fHa8YGBgXTr1o358+fj5OSEvb09w4cP19ZVGNHR0XTt2hUrKytsbGzo0aMHf//9t3b86dOnadWqFdbW1tjY2FC/fn2OHz8OwNWrV+nSpQt2dnZYWlpSq1Yttm/fnmt9FhYWOsdgR0dH7bhNmzZRq1YtTE1NcXNzY8GCBbkuKz/bJrOOHTvy3nvv0b179zynFUKUfJILJBc8S7mgQE255ORkTpw4weTJk3XK27dvz5EjR/K1jC+++IK2bdvi6upakKqf3PeX4L0y8Old/OtcZ+ROK7b/fZkbLi/hcPcoJpcXMmLE/5g8Of0Fon36gEZTvCEKkZBQ8HlMTSHjpExKSvoVSQMDMDfPe7mWlvmvx8jIiICAAFauXMn06dPR/LuDbNy4keTkZPz9/Xnw4AH169dn0qRJ2NjYsG3bNvr06UPVqlVp1KhRnnWkpaXRvXt3ypUrx9GjR7l3755OH+4M1tbWrFy5kooVK3L27FkGDhyItbU1EydOxM/Pj3PnzrFz50727t0LpJ9wyezBgwe8/PLLvPTSS4SFhXHjxg0GDBhAcHCwTgLfv38/Tk5O7N+/n99//x0/Pz/q1q3LwIED87/y/qWUolu3blhaWvLTTz+RkpLCsGHD8PPz48CBAwD4+/vz4osvsmzZMgwNDQkPD8fY2BiA4cOHk5yczM8//4ylpSURERFYWVkVOA6AEydO0KNHD0JCQvDz8+PIkSMMGzYMe3t7AgMDs0yf320jhCgaxZkPJBdILnhuc4EqgL/++ksB6vDhwzrls2bNUh4eHnnOf/36dWVoaKjWr1+f63SJiYkqLi5OO1y7dk0BKi4uriDh6urVSylQ6nWUUiZq2r4gRQhq7FcNlFqDUmtN1Z2Yv5WFRfpkP/5Y+KqEyMvDhw9VRESEevjwoU45FHzYsOG/+TdsSC9r0UK3vnLlsp+3oCIjIxWg9u3bpy1r3ry56tmzZ47zdOrUSY0bN077uUWLFmrUqFHaz66urmrRokVKKaV27dqlDA0N1bVr17Tjd+zYoQD17bff5ljHvHnzVP369bWfZ8yYoby9vbNM9/hyli9fruzs7FR8fLx2/LZt25SBgYGKjY1VSinVt29f5erqqlJSUrTTvPnmm8rPzy/HWEJDQ5WtrW2243bv3q0MDQ1VdHS0tuz8+fMKUMeOHVNKKWVtba1WrlyZ7fy1a9dWISEhOdadWYsWLZSxsbGytLTUDmPHjlVKKdWrVy/Vrl07neknTJigvLy8tJ+LYts8Lj/TPr5vZM4FERERT54LhChBcsoFShVvPigoyQWSC552LlAq9/0jLi4uX/mgUA8j0GS61KGUylKWnYwbs7p165brdLNnz8bW1lY7ODs7FyZMXVOmpP+7GYhMZmxjAww0Biy8HMYDm9qQlkSZG0u0LxBduPDJqxTieVOjRg2aNGnCihUrALh8+TIHDx6kf//+AKSmpjJr1izq1KmDvb09VlZW7N69O8d7+DKLjIzExcWFypUra8saN26cZbpvvvmGpk2b4ujoiJWVFdOmTct3HY/X5e3tjeVjpzJ9fX1JS0vj4mMv1apVqxaGhobaz05OTty4caNAdT1ep7Ozs84xzcvLizJlyhAZGQnA2LFjGTBgAG3btmXOnDlcvnxZO+3IkSN577338PX1ZcaMGZw5cybPOv39/QkPD9cOU/49FkZGRuLr66szra+vL5cuXSI1NTXb2POzbYpS5lzg5eX1VOsTQuSP5ALJBcWZC55EgRo65cqVw9DQkNjYWJ3yGzduUKFChVznVUqxYsUK+vTpg4mJSa7TTpkyhbi4OO1w7dq1goSZvRdegG7dQAFzoIzZOnrV7gzAl8nl06e5tITRwQ/QaGDbNrhw4cmrFaIg4uMLPrz22n/zv/ZaetmOHbrLvXIl+3kLIygoiE2bNnHv3j1CQ0NxdXWlTZs2ACxYsIBFixYxceJE9u3bR3h4OB06dCA5OTlfy04/0aMr80mUo0eP8tZbb9GxY0e2bt3KqVOnmDp1ar7reLyunE7QPF6e0VXg8XFpaWkFqiuvOh8vDwkJ4fz583Tu3Jl9+/bh5eXFt99+C8CAAQP4448/6NOnD2fPnsXHx4ePP/441zptbW1xd3fXDuXKlcsxluzWf27j8nOC60lkzgURERFPtT4hSpLizAeFIblAckGGp50LnkSBGjomJibUr18/y01He/bsoUmTJrnO+9NPP/H7778TFBSUZz2mpqbY2NjoDEXi7bfT/10DRN3nnZaVABgXcYhUCxdIuoW74SpefTV9MnmBqChulpYFHx5/aIqRUXrZ4/2xc1tuYfTo0QNDQ0O+/vprVq1aRb9+/bQHuYMHD9K1a1d69+6Nt7c3VatW5dKlS/letpeXF9HR0Vy/fl1b9ssvv+hMc/jwYVxdXZk6dSo+Pj5Ur149y9N/TExMsj0Tlbmu8PBwEh7rsH748GEMDAzw8PDId8wFkfH9Hj95ExERQVxcHDVr1tSWeXh4MGbMGHbv3k337t0JDQ3VjnN2dmbIkCFs3ryZcePG8dlnnxU6lkOHDumUHTlyBA8PD52zlpljz23bFLXMucDa2vqp1idESVKc+aAwJBcUnuSC4lPgrmtjx47l888/Z8WKFURGRjJmzBiio6MZMmQIkH4GLiAgIMt8X3zxBY0aNeKFF1548qgLq0EDaNcOUoF54FZmC02c6/EgNZndxv++1ydyIWPHpO8U8gJRIbKysrLCz8+Pt99+m+vXr+vcrOju7s6ePXs4cuQIkZGRDB48OMsV4Ny0bdsWT09PAgICOH36NAcPHmTq1Kk607i7uxMdHc26deu4fPkyH330kfYsVwY3NzeioqIIDw/nn3/+ISmbZ8b7+/tjZmZG3759OXfuHPv372fEiBH06dMnzyvUeUlNTdXpIhAeHk5ERARt27alTp06+Pv7c/LkSY4dO0ZAQAAtWrTAx8eHhw8fEhwczIEDB7h69SqHDx8mLCxMm/hGjx7Nrl27iIqK4uTJk+zbt08nKRbEuHHj+PHHH3n33Xf57bffWLVqFZ988gnjx4/Pdvr8bJvsxMfHa9cBoN0uBe1eIoQoWSQX5E1ywX/0lgvydddQJkuWLFGurq7KxMRE1atXT/3000/acX379lUtMt35dvfuXWVubq6WL19emOryfcNRvhw4kH7nnQlK/YX69doARQiqyvzyKm2jnVJrUGlXN6v69dMne++9J69SiMxyu8HuWXDkyBEFqPbt2+uU37p1S3Xt2lVZWVkpBwcH9X//938qICBAde3aVTtNbjegKqXUxYsXVdOmTZWJiYny8PBQO3fuzHLj4oQJE5S9vb2ysrJSfn5+atGiRTo3fSYmJqrXX39dlSlTRgEqNDRUKZX1BsgzZ86oVq1aKTMzM1W2bFk1cOBAdf/+fe34vn376sSulFKjRo3Kcox7XGhoqCK9k6zO4OrqqpRS6urVq+rVV19VlpaWytraWr355pvaG16TkpLUW2+9pZydnZWJiYmqWLGiCg4O1v5OgoODVbVq1ZSpqakqX7686tOnj/rnn39yjCXzus7sm2++UV5eXsrY2Fi5uLioDz74QGd8YbZNZvv37892ffTt2zfb6XPbN4rkwTRClCCSC0ZpP0sukFyQWVE8jECjVC4d8UqIe/fuYWtrS1xc3JN3Y1MKmjWDw4dhLKj57rh9+JDouL8Ib/wK3v9shXJN+Pqfw/j7g6Njen/WUvZeKfGUJSYmEhUVRZUqVTAzM9N3OEKUGLntG3/++SfOzs5FkwuEKAEkFwiRs9z2j/y2DQr11LVnmkYDGZfYPgXNrd9Z3KElAGOjLqMMTOCfI/RodUT7AtF16/QXrhBCCCGEEKLgSl9DB+Dll6FePXgAfARdPCOxMDZnX2wkMfatATD6fQEjRqRPvnBh+oUgIYQQQgghxLOhdDZ0NJr/nsD2MRjFn+T91u0BeO/mg/Tya98yxP93LCzgzBnYt09PsQohhBBCCCEKrHQ2dCD9AfM1asBdYCkMqHcbDRqWXfqZ+HItAIVtzCL+ffeVvEBUCCGEEEKIZ0jpbegYGMC/b4VlIVimHGREw2YAfP7QNr38j1DGDPsHjQa2b5cXiAohhBBCCPGsKL0NHYCePcHNDW4Cn8OUZulvvX373G5SbOtA6kOqpiyja9f0yeUFokIIIYQQQjwbSndDx9gYJk1K//8HUMF4Px3da/IwJZFthv++eOm3jxk3JhGQF4gKIYQQQgjxrCjdDR2AwEBwcoI/QfNVGgs7VAJgZMTPKAsXSLqJr9NX+PhAYiJ8+ql+wxVCCCGEEELkTRo6ZmYwfnz6/+eAp+0hapV3IPp+DCdt0u/Z0VxcwJgxaQB88gkkJekrWCGEEEIIIUR+SEMHYNAgsLeHy6D5JpGlnb0AGP37OZSxLdy7SA/fbVSqBH//DWvX6jleIZ4jLVu2ZPTo0fme/sqVK2g0GsLDw59aTM+bwMBAunXrlus0Bd0OQghRlCQXPH2lMRdIQwfAygpGjUr///vQtHI4Zc1NORRzmj8dOgFgdGk+I0emT7JokbxAVJQ+Go0m1yEwMLBQy928eTPvvvtuvqd3dnYmJiaGF154oVD15VdJSqIhISHZrvO9e/cWWwybN2+mXbt2lC9fHhsbGxo3bsyuXbuKrX4hRMkguUB/JBcUnDR0MgQHg7U1nAODrXdZ2qkeACExt0FjBDd+Zsibx7C0lBeIitIpJiZGOyxevBgbGxudsg8//FBn+kePHuVruWXLlsXa2jrfcRgaGuLo6IiRkVGB4n/W1apVS2d9x8TE0Lx582Kr/+eff6Zdu3Zs376dEydO0KpVK7p06cKpU6eKLQYhhP5JLtAvyQUFIw2dDHZ2MHx4+v9nQfcaURgZQOjF3dx36gKAzV8L5AWiotRydHTUDra2tmg0Gu3nxMREypQpw4YNG2jZsiVmZmasXr2aW7du0bNnTypXroyFhQW1a9dmbaa+n5kvk7u5ufH+++/Tv39/rK2tcXFxYfny5drxmc+uHThwAI1Gw48//oiPjw8WFhY0adKEixcv6tTz3nvv4eDggLW1NQMGDGDy5MnUrVu30OsjKSmJkSNH4uDggJmZGU2bNiUsLEw7/s6dO/j7+1O+fHnMzc2pXr06oaGhACQnJxMcHIyTkxNmZma4ubkxe/bsXOszMjLS2QaOjo6YmJgAcPbsWVq3bo25uTn29vYMGjSI+Pj4HJeVkJBAQEAAVlZWODk5sWDBgjy/7+LFi5k4cSINGjSgevXqvP/++1SvXp0ffvghP6tLCPGckFygS3JByc4F0tB53JgxYG4OYWC8P5b329RGoVhy3yx9/LVvGDc4SvsC0chI/YYrnh9KKRKSE/QyqCLshzlp0iRGjhxJZGQkHTp0IDExkfr167N161bOnTvHoEGD6NOnD7/++muuy1mwYAE+Pj6cOnWKYcOGMXToUC7k8cbeqVOnsmDBAo4fP46RkRH9M85KAGvWrGHWrFnMnTuXEydO4OLiwrJly57ou06cOJFNmzaxatUqTp48ibu7Ox06dOD27dsATJs2jYiICHbs2EFkZCTLli2jXLlyAHz00Ud8//33bNiwgYsXL7J69Wrc3NwKFceDBw94+eWXsbOzIywsjI0bN7J3716Cg4NznGfChAns37+fb7/9lt27d3PgwAFOnDhRoHrT0tK4f/8+ZcuWLVTcQojs6SsfSC4oHMkFJTsXlK7rfXlxcICBA+Gjj+B9GLLzPhP3wHtnv2dcw9YY39iH68PFdO36IVu2pL9A9H//03fQ4nnw4NEDrGZb6aXu+CnxWJpYFsmyRo8eTffu3XXKxmc81RAYMWIEO3fuZOPGjTRq1CjH5XTq1Ilhw4YB6Qlz0aJFHDhwgBo1auQ4z6xZs2jRogUAkydPpnPnziQmJmJmZsbHH39MUFAQ/fr1A2D69Ons3r071zNduUlISGDZsmWsXLmSjh07AvDZZ5+xZ88evvjiCyZMmEB0dDQvvvgiPj4+ADrJKzo6murVq9O0aVM0Gg2urq551nn27FmsrP77jXh5eXHs2DHWrFnDw4cP+fLLL7G0TN+On3zyCV26dGHu3LlUqFBBZznx8fF88cUXfPnll7Rr1w6AVatWUbly5QKtgwULFpCQkECPHj0KNJ8QInf6ygeSCwpOckHJzwVyRSezCRPSXyR6AKxPXGFIfRcSHiWwRVMtffwfXzBxVHor/csv4eZN/YUqREmTcSDPkJqayqxZs6hTpw729vZYWVmxe/duoqOjc11OnTp1tP/P6BZx48aNfM/j5OQEoJ3n4sWLNGzYUGf6zJ8L4vLlyzx69AhfX19tmbGxMQ0bNiTy30u9Q4cOZd26ddStW5eJEydy5MgR7bSBgYGEh4fj6enJyJEj2b17d551enp6Eh4erh02bdoEQGRkJN7e3trEBuDr60taWlqWLhsZsScnJ9O4cWNtWdmyZfH09Mz391+7di0hISGsX78eBweHfM8nhCgdJBdILigp5IpOZpUrQ9++8PnnMAumrzPj0xMw7swO3vCsjebuWV4q9z98fKZw/Hj6C0SnTdN30OJZZ2FsQfyUwp1RKoq6i8rjB1hIP9OzaNEiFi9eTO3atbG0tGT06NEkJyfnuhxjY2OdzxqNhrS0tHzPo9FoAHTmySjL8CTdNDLmzW6ZGWUdO3bk6tWrbNu2jb1799KmTRuGDx/O/PnzqVevHlFRUezYsYO9e/fSo0cP2rZtyzfffJNjnSYmJri7u2cbS+Y4MmRX/qTdU9avX09QUBAbN26kbdu2T7QsIURW+soHkgsKTnJByc8FckUnO5MmgYEBbAen33/j5WpluHbvT361/vcFor99xPgx6W8NXbJEXiAqnpxGo8HSxFIvQ04HxqJw8OBBunbtSu/evfH29qZq1apcunTpqdWXE09PT44dO6ZTdvz48UIvz93dHRMTEw4dOqQte/ToEcePH6dmzZrasvLlyxMYGMjq1atZvHixzo20NjY2+Pn58dlnn7F+/Xo2bdqk7dNdEF5eXoSHh5OQkKAtO3z4MAYGBnh4eGQbu7GxMUePHtWW3blzh99++y3PutauXUtgYCBff/01nTt3LnCsQoi86SsfSC4oOMkFJT8XyBWd7Li7g59f+ptB34eFSyuwc+ldxl8M45B9JXj4F6/7fE3lyv3488/0yQr52Hghnmvu7u5s2rSJI0eOYGdnx8KFC4mNjdVJAMVhxIgRDBw4EB8fH5o0acL69es5c+YMVatWzXPe7C75e3l5MXToUCZMmEDZsmVxcXFh3rx5PHjwgKCgICC973f9+vWpVasWSUlJbN26Vfu9Fy1ahJOTE3Xr1sXAwICNGzfi6OhImTJlCvzd/P39mTFjBn379iUkJISbN28yYsQI+vTpk6VPNoCVlRVBQUFMmDABe3t7KlSowNSpUzEwyP2819q1awkICODDDz/kpZdeIjY2FgBzc3NsbW0LHLcQovSQXCC5QF+koZOTt99Ob8FsghozL1LbwZjDf4VxtdZwXKOW/PsC0UAmTtSwcGF6b7eneDJEiGfStGnTiIqKokOHDlhYWDBo0CC6detGXFxcscbh7+/PH3/8wfjx40lMTKRHjx4EBgZmObOXnbfeeitLWVRUFHPmzCEtLY0+ffpw//59fHx82LVrF3Z2dkB694IpU6Zw5coVzM3NadasGevWrQPSE8zcuXO5dOkShoaGNGjQgO3bt+eZYLJjYWHBrl27GDVqFA0aNMDCwoLXX3+dhbk8A/+DDz4gPj6eV199FWtra8aNG5fnNvnf//5HSkoKw4cPZ3jGo/iBvn37snLlygLHLYQoPSQXSC7QF40qyucJPiX37t3D1taWuLg4bGxsiq/ibt3gu+8gAA6+U53mKy8RULMbq/gRUu4T77Mdx3odSUiAPXugBHdRFCVMYmIiUVFRVKlSBTMzM32HUyq1a9cOR0dHvvrqK32HIh6T277x559/4uzsXPy5QIinRHKB/kkuKLly2z/y2zaQe3RyM3Vq+r9rwDftDypaw+oL3xPnnP4IPatr8+UFokI8Ax48eMDChQs5f/48Fy5cYMaMGezdu5e+ffvqOzQhhBDFRHJB6SMNndw0aADt2kEqGHyQyqIOLqSpND66owGNIfy9jwkDTqLRwI4d8gJRIUoqjUbD9u3badasGfXr1+eHH35g06ZNJfpJMUIIIYqW5ILSRxo6ecm4qrMCXrO9ga0pzD+zgUeV01+E5Xx/Ad26pU+yeLFeIhRC5MHc3Jy9e/dy+/ZtEhISOHnyZJaX2QkhhHi+SS4ofaShk5fmzaFJE0gC48WJTGtejntJ99iY5pI+Pno9U0amv/BKXiAqhBBCCCFEySANnbxoNP9d1fkUhlZNxNQQ/i98M8qhFahUfKw/pEEDSExMf4GoEEIIIYQQQr+koZMfHTvCi3UhASyWxjO0gQVRd6M4YtUEAM3l5UwacxeATz5Jb/AIIYQQQggh9EcaOvmh0cDb/17V+Rj+z9sEAw1MjjwAtl6QEk+32p/h7Aw3bqS/fkcIIYQQQgihP9LQya/u3aGGB9wF+1V3edPLkEPRh4lyfB0Aw0sfMmpEMpD+qOmS/3YiIYQQQgghnl/S0MkvAwOY8u9VnYUwu0n6y4lmRF0EM0d4+BdDOq3H0hLOnYO9e/UYqxBCCCGEEKWcNHQKomdPcHOBG1Bl0x1aucHayM3EuaW/aMry6nyCgtIv5SxapMc4hSjBWrZsyejRo7Wf3dzcWJzHs9k1Gg1btmx54rqLajmlRXFuGyFE6SK54NnxLOcCaegUhLExTJyc/v95MLd5GVLSUlj8z0MwsoS7Z5jcd6/2BaIREfoNV4ii1KVLlxxfqvbLL7+g0Wg4efJkgZcbFhbGoEGDnjQ8HSEhIdStWzdLeUxMDB07dizSujJbuXIlZcqUeap15FfLli3RaDRZhpSUlGKLYfbs2TRo0ABra2scHBzo1q0bFy9eLLb6hRBFS3JB/kgu0KWvXCANnYLq1w+cHOBPaLDvLnUdYfGpL0l2CwDA6e58XnstfVJ5gah4ngQFBbFv3z6uXr2aZdyKFSuoW7cu9erVK/Byy5cvj4WFRVGEmCdHR0dMTU2Lpa6SYuDAgcTExOgMRkZGxVb/Tz/9xPDhwzl69Ch79uwhJSWF9u3bk5CQUGwxCCGKjuSCZ1NpzQXS0CkoMzMYNzH9/3PgnaaW3E28y7pHFUBjALG7+b/gM4C8QFQ8X1555RUcHBxYuXKlTvmDBw9Yv349QUFB3Lp1i549e1K5cmUsLCyoXbs2a/N4DGHmS+KXLl2iefPmmJmZ4eXlxZ49e7LMM2nSJDw8PLCwsKBq1apMmzaNR48eAeln0WbOnMnp06e1Z60yYs58af3s2bO0bt0ac3Nz7O3tGTRoEPHx8drxgYGBdOvWjfnz5+Pk5IS9vT3Dhw/X1lUY0dHRdO3aFSsrK2xsbOjRowd///23dvzp06dp1aoV1tbW2NjYUL9+fY4fPw7A1atX6dKlC3Z2dlhaWlKrVi22b9+ea30WFhY4OjrqDBk2bdpErVq1MDU1xc3NjQULFuS6rPxsm8x27txJYGAgtWrVwtvbm9DQUKKjozlx4kSe8wohSh7JBZILnqVcUHxNuefJ4MHw/rvwexydzyTgVgbeO7mGPi++jiZ6I3VNF9CgwSrCwmDZMpg+Xd8Bi2dFQnLBz2yYGpliZJC+K6ekpZCUkoSBxgBzY/M8l2tpYpnveoyMjAgICGDlypVMnz4djUYDwMaNG0lOTsbf358HDx5Qv359Jk2ahI2NDdu2baNPnz5UrVqVRo0a5VlHWloa3bt3p1y5chw9epR79+7p9OHOYG1tzcqVK6lYsSJnz55l4MCBWFtbM3HiRPz8/Dh37hw7d+5k779PBbG1tc2yjAcPHvDyyy/z0ksvERYWxo0bNxgwYADBwcE6CXz//v04OTmxf/9+fv/9d/z8/Khbty4DBw7M97rLoJSiW7duWFpa8tNPP5GSksKwYcPw8/PjwIEDAPj7+/Piiy+ybNkyDA0NCQ8Px9jYGIDhw4eTnJzMzz//jKWlJREREVhZWRU4DoATJ07Qo0cPQkJC8PPz48iRIwwbNgx7e3sCAwOzTJ/fbZOXuLg4AMqWLVuouIUoLYozH0gukFzw3OYC9QyIi4tTgIqLi9N3KP955x2lQKnaqP8dM1aEoH46sUCpNSj1tZHa8vU1BUo5OCj18KG+gxUlzcOHD1VERIR6mOnHQQgFHjac26Cdf8O5DYoQVIvQFjrLLTevXLbzFlRkZKQC1L59+7RlzZs3Vz179sxxnk6dOqlx48ZpP7do0UKNGjVK+9nV1VUtWrRIKaXUrl27lKGhobp27Zp2/I4dOxSgvv322xzrmDdvnqpfv77284wZM5S3t3eW6R5fzvLly5WdnZ2Kj4/Xjt+2bZsyMDBQsbGxSiml+vbtq1xdXVVKSop2mjfffFP5+fnlGEtoaKiytbXNdtzu3buVoaGhio6O1padP39eAerYsWNKKaWsra3VypUrs52/du3aKiQkJMe6M2vRooUyNjZWlpaW2mHs2LFKKaV69eql2rVrpzP9hAkTlJeXl/ZzUWybx6WlpakuXbqopk2b5jhNTvuGUkpdu3at5OUCIZ5Abr/34swHBSW5QHLB084FSuW+f+S3bVCormtLly6lSpUqmJmZUb9+fQ4ePJjr9ElJSUydOhVXV1dMTU2pVq0aK1asKEzVJUdwMFhbwFno91cq5Swg5OxWcGgOKoVXPD6WF4iK506NGjVo0qSJdv+9fPkyBw8epH///gCkpqYya9Ys6tSpg729PVZWVuzevZvo6Oh8LT8yMhIXFxcqV66sLWvcuHGW6b755huaNm2Ko6MjVlZWTJs2Ld91PF6Xt7c3lpb/ncn09fUlLS1N5wbJWrVqYWhoqP3s5OTEjRs3ClTX43U6Ozvj7OysLfPy8qJMmTJERkYCMHbsWAYMGEDbtm2ZM2cOly9f1k47cuRI3nvvPXx9fZkxYwZnzpzJs05/f3/Cw8O1w5QpU7Sx+Pr66kzr6+vLpUuXSE1NzTb2/Gyb3AQHB3PmzJk8u7AIIUo2yQWSC56VXFDgrmvr169n9OjRLF26FF9fX/73v//RsWNHIiIicHFxyXaejH6HX3zxBe7u7ty4caNYn/TwVNjZwfARMGcuxrPTGDUPph3Yzx/1F1P1xs8Y/vEp40dNZdR4GxYuhMBA+PfqrhA5ip8Sn/dEmZga/XdD5Ws1XyN+SjwGGt1zGFdGXXnS0LSCgoIIDg5myZIlhIaG4urqSps2bQBYsGABixYtYvHixdSuXRtLS0tGjx5NcnJyvpatsnnTribTjnP06FHeeustZs6cSYcOHbC1tWXdunV59inOrq7My86uzoyuAo+PS0tLK1BdedX5eHlISAi9evVi27Zt7NixgxkzZrBu3Tpee+01BgwYQIcOHdi2bRu7d+9m9uzZLFiwgBEjRuRYp62tLe7u7vmKJbv1n9u4nNZfdkaMGMH333/Pzz//rJMghRDZK+n5QHKB5IIMJTkXFPiKzsKFCwkKCmLAgAHUrFmTxYsX4+zszLJly7KdfufOnfz0009s376dtm3b4ubmRsOGDWnSpMkTB693o8eAmTEcg3EPjLA0hncunQAbT3h0j4Gtv8DKSl4gKvLP0sSywENGf2wAIwMjLE0sdfpj57bcwujRoweGhoZ8/fXXrFq1in79+mkPcgcPHqRr16707t0bb29vqlatyqVLl/K9bC8vL6Kjo7l+/bq27JdfftGZ5vDhw7i6ujJ16lR8fHyoXr16lqf/mJiYZHsmKnNd4eHhOk98OXz4MAYGBnh4eOQ75oLI+H7Xrl3TlkVERBAXF0fNmjW1ZR4eHowZM4bdu3fTvXt3QkNDteOcnZ0ZMmQImzdvZty4cXz22WeFjuXQoUM6ZUeOHMHDw0PnrGXm2HPbNtlRShEcHMzmzZvZt28fVapUKVS8QpQ2xZkPCkNyQeFJLii+XFCghk5ycjInTpygffv2OuXt27fnyJEj2c7z/fff4+Pjw7x586hUqRIeHh6MHz+ehw8fFj7qkqJCBRg4GADzeSkMqAdfn1vHXbcB6WVXFzNwQPoTORYu1FuUQhQpKysr/Pz8ePvtt7l+/brOzYru7u7s2bOHI0eOEBkZyeDBg4mNjc33stu2bYunpycBAQGcPn2agwcPMnXqVJ1p3N3diY6OZt26dVy+fJmPPvqIb7/9VmcaNzc3oqKiCA8P559//iEpKSlLXf7+/piZmdG3b1/OnTvH/v37GTFiBH369KFChQoFWymZpKam6nQRCA8PJyIigrZt21KnTh38/f05efIkx44dIyAggBYtWuDj48PDhw8JDg7mwIEDXL16lcOHDxMWFqZNfKNHj2bXrl1ERUVx8uRJ9u3bp5MUC2LcuHH8+OOPvPvuu/z222+sWrWKTz75hPHjx2c7fX62TXaGDx/O6tWr+frrr7G2tiY2NpbY2NjnIwcIUYpJLsib5IL/6C0X5OuuoX/99ddfClCHDx/WKZ81a5by8PDIdp4OHTooU1NT1blzZ/Xrr7+qbdu2KVdXV9WvX78c60lMTFRxcXHaoUTfgBodrZSxoVKg/tljpIzeQYXsnazUJgel1qBif/1aGRikP7fg3Dl9BytKitxusHsWHDlyRAGqffv2OuW3bt1SXbt2VVZWVsrBwUH93//9nwoICFBdu3bVTpPbDahKKXXx4kXVtGlTZWJiojw8PNTOnTuz3OQ4YcIEZW9vr6ysrJSfn59atGiRzk2fiYmJ6vXXX1dlypRRgAoNDVVKqSzLOXPmjGrVqpUyMzNTZcuWVQMHDlT379/Xju/bt69O7EopNWrUKNWiRYsc101oaKgCsgyurq5KKaWuXr2qXn31VWVpaamsra3Vm2++qb3hNSkpSb311lvK2dlZmZiYqIoVK6rg4GDt7yQ4OFhVq1ZNmZqaqvLly6s+ffqof/75J8dYMq/rzL755hvl5eWljI2NlYuLi/rggw90xhdm22SW3bp4fJtk9vi+kTkXRERElNxcIEQhSC4Ypf0suUByQWZF8TACzb+V58v169epVKkSR44c0bnxaNasWXz11VdcuHAhyzzt27fn4MGDxMbGah/rt3nzZt544w0SEhIwNzfPMk9ISAgzZ87MUh4XF4eNjU1+wy0+A/rBFyuhMwQEwfZL9sR0GIbx+XfBrh6vf36czZs1DBgAhbyyKJ4ziYmJREVFaR/qIYRI9/i+MWfOnGcrFwhRQJILhMhZbvvHvXv3sLW1zTMfFKjrWrly5TA0NMxy+fHGjRs5Xt5zcnKiUqVKOs8ur1mzJkop/vzzz2znmTJlCnFxcdrh8T6MJdLkqWCggW3wThkjbj+8xdeJZcDQHO6cZOawAwB89VX6U9iEEELkLXMuiIiI0HdIQgghniEFauiYmJhQv379LG9A3bNnT44PF/D19eX69es6b5j97bffMDAwyPFpC6amptjY2OgMJZq7O/h1B8BtWQodq8Pc45+jqgYCUMtwPg0bQlISfPqpHuMUQohnSOZcYG1tre+QhBBCPEMK/NS1sWPH8vnnn7NixQoiIyMZM2YM0dHRDBkyBEg/AxcQEKCdvlevXtjb29OvXz8iIiL4+eefmTBhAv3798+229oza8qM9H+/gXcdDYj8J5KD5j6ABs317YSMOQ/AkiWQmKi/MIUQQgghhCgNCtzQ8fPzY/HixbzzzjvUrVuXn3/+me3bt+Pq6gpATEyMzsuarKys2LNnD3fv3sXHxwd/f3+6dOnCRx99VHTfoiSoXRtebQ8K6n2ZxkuV4b1T68D5NQA6uC7ExSW969rXX+s5ViGEEEIIIZ5zBXoYgb7k94YjvTt2DBo1AkPYvQs6HILfe35FteN9wMCET2OuMHSsE7Vqwdmz8gLR0kxuQBUie7ntG3/++SfOzs4lPxcIkU+SC4TIWbE/jEDkoWFDaNsYUqH9ZqhRDmZfOADlmkBaMoFNPsHKCs6fh0y3OQkhhBBCCCGKkDR0itrU99P//QKmV4fVZ1Zzt8pAAMyuLWPowPSHMsgLRIUQQgghhHh6pKFT1Fq0gCa1IQl67IJyFkl89GcUWLlD8h0mvhGKgQHs2pV+ZUcIIYQQQghR9KShU9Q0Gpg6BwDD/8HkmrDkxKc88hgBQLmbi3i9ewoAixfrK0ghhBBCCCGeb9LQeRo6doS6VSEBBh2G5NQbrE0wAVN7SIji3UHfAvICUSEAWrZsyejRo/M9/ZUrV9BoNISHhz+1mJ43gYGBdOvWLddpCrodhBCiKEkuePpKYy6Qhs7ToNHA27MBMFkCo2rC/GNLUdWHAeCR+gGNGimSkmDZMn0GKkT+aTSaXIfAwMBCLXfz5s28++67+Z7e2dmZmJgYXnjhhULVl18lKYmGhIRku8737t1bbDEcOnQIX19f7O3tMTc3p0aNGixatKjY6hdClAySC/RHckHBGek7gOdW99fB0wkuxjAuHOYYnOVn02m0MDBFczuM98ccos1bzViyBCZNAnmqpCjpYmJitP9fv34906dP5+LFi9qyzC8AfvToEcbGxnkut2zZsgWKw9DQEEdHxwLN8zyoVatWlmRW0HX3JCwtLQkODqZOnTpYWlpy6NAhBg8ejKWlJYMGDSq2OIQQ+iW5QL8kFxSMXNF5WgwNYUr6mQnrJTCgJsw7sRKq9gWgZYX5uLjAzZuwZo0e4xQinxwdHbWDra0tGo1G+zkxMZEyZcqwYcMGWrZsiZmZGatXr+bWrVv07NmTypUrY2FhQe3atVm7dq3OcjNfJndzc+P999+nf//+WFtb4+LiwvLly7XjM59dO3DgABqNhh9//BEfHx8sLCxo0qSJTuIFeO+993BwcMDa2poBAwYwefJk6tatW+j1kZSUxMiRI3FwcMDMzIymTZsSFhamHX/nzh38/f0pX7485ubmVK9endDQUACSk5MJDg7GyckJMzMz3NzcmD17dq71GRkZ6WwDR0dHTExMADh79iytW7fG3Nwce3t7Bg0aRHx8fI7LSkhIICAgACsrK5ycnFiwYEGe3/fFF1+kZ8+e1KpVCzc3N3r37k2HDh04ePBgflaXEOI5IblAl+SCkp0LpKHzNPUKALeycAOm/w47f9/OHxW6AWBw/XtmjEnf+RYtgpL/2lbxdCkgQU9D0f34Jk2axMiRI4mMjKRDhw4kJiZSv359tm7dyrlz5xg0aBB9+vTh119/zXU5CxYswMfHh1OnTjFs2DCGDh3KhQsXcp1n6tSpLFiwgOPHj2NkZET//v2149asWcOsWbOYO3cuJ06cwMXFhWVP2G904sSJbNq0iVWrVnHy5Enc3d3p0KEDt2/fBmDatGlERESwY8cOIiMjWbZsGeXKlQPgo48+4vvvv2fDhg1cvHiR1atX4+bmVqg4Hjx4wMsvv4ydnR1hYWFs3LiRvXv3EhwcnOM8EyZMYP/+/Xz77bfs3r2bAwcOcOLEiQLVe+rUKY4cOUKLFi0KFbcQIif6ygeSCwpDckEJzwXqGRAXF6cAFRcXp+9QCm7pIqVAKWfUW1+jhvwwRKkDryq1BpV4cJCyskofvWuXvgMVxenhw4cqIiJCPXz48N+SeKUUehriCxx/aGiosrW11X6OiopSgFq8eHGe83bq1EmNGzdO+7lFixZq1KhR2s+urq6qd+/e2s9paWnKwcFBLVu2TKeuU6dOKaWU2r9/vwLU3r17tfNs27ZNAdr126hRIzV8+HCdOHx9fZW3t3eOcWau53Hx8fHK2NhYrVmzRluWnJysKlasqObNm6eUUqpLly6qX79+2S57xIgRqnXr1iotLS3H+h83Y8YMZWBgoCwtLbVDgwYNlFJKLV++XNnZ2an4+P+247Zt25SBgYGKjY1VSinVt29f1bVrV6WUUvfv31cmJiZq3bp12ulv3bqlzM3NdbZDTipVqqRMTEyUgYGBeuedd/IVf0Fk3Tf+c+3atWc3FwiRjex/7/rKB5ILsiO5IHtPOxcolXs+yG/bQK7oPG39hoCjFVyD92Ng1emVxP37AlHTP1cxekj6Y9fkBaLieeDj46PzOTU1lVmzZlGnTh3s7e2xsrJi9+7dREdH57qcOnXqaP+f0S3iRh6PKHx8HicnJwDtPBcvXqRhw4Y602f+XBCXL1/m0aNH+Pr6asuMjY1p2LAhkZGRAAwdOpR169ZRt25dJk6cyJEjR7TTBgYGEh4ejqenJyNHjmT37t151unp6Ul4eLh22LRpEwCRkZF4e3tjaWmpndbX15e0tLQsXTYyYk9OTqZx48basrJly+Lp6Zmv737w4EGOHz/Op59+yuLFi7N0PxFCCMkFkgtKCmnoPG1mZjBuPABVPgXfSoksuXIa7BtCWhJjuyzRvkD03Dk9xyr0yAKI19NgUWTf4vEDLKR3O1i0aBETJ05k3759hIeH06FDB5KTk3NdTuYbVzUaDWlpafmeR6PRAOjMk1GWQT1Bf9GMebNbZkZZx44duXr1KqNHj+b69eu0adOG8ePTjwX16tUjKiqKd999l4cPH9KjRw/eeOONXOs0MTHB3d1dOzg7O2epM7Psyp/kewNUqVKF2rVrM3DgQMaMGUNISMgTLU8IkZm+8oHkgoKSXFDyc4E0dIrDkHFQ1hQuwYI4+CRsCY88RwNgd3MJb735AJAXiJZuGsBST0P2B8aicPDgQbp27Urv3r3x9vamatWqXLp06anVlxNPT0+OHTumU3b8+PFCL8/d3R0TExMOHTqkLXv06BHHjx+nZs2a2rLy5csTGBjI6tWrWbx4sc6NtDY2Nvj5+fHZZ5+xfv16Nm3apO3TXRBeXl6Eh4eTkJCgLTt8+DAGBgZ4eHhkG7uxsTFHjx7Vlt25c4fffvutwHUrpUhKSirwfEKI3OgrH0guKCjJBelKci6Qx0sXBysrGDUMZiyizhfgNDSGDXHJ+FtWSX+BaL9VfL1+KKtXw6xZUKGCvgMWomi4u7uzadMmjhw5gp2dHQsXLiQ2NlYnARSHESNGMHDgQHx8fGjSpAnr16/nzJkzVK1aNc95s7vk7+XlxdChQ5kwYQJly5bFxcWFefPm8eDBA4KCggCYPn069evXp1atWiQlJbF161bt9160aBFOTk7UrVsXAwMDNm7ciKOjI2XKlCnwd/P392fGjBn07duXkJAQbt68yYgRI+jTpw8VsjmYWFlZERQUxIQJE7C3t6dChQpMnToVA4Pcz3stWbIEFxcXatSoAaS/S2H+/PmMGDGiwDELIUoXyQWSC/RFGjrFZcQ0mP8xnE1hUSqM+fUjerUYjebEKKomLaTxS4P45aghy5ZBCb36J0SBTZs2jaioKDp06ICFhQWDBg2iW7duxMXFFWsc/v7+/PHHH4wfP57ExER69OhBYGBgljN72XnrrbeylEVFRTFnzhzS0tLo06cP9+/fx8fHh127dmFnZwekdy+YMmUKV65cwdzcnGbNmrFu3TogPcHMnTuXS5cuYWhoSIMGDdi+fXueCSY7FhYW7Nq1i1GjRtGgQQMsLCx4/fXXWZjLjX8ffPAB8fHxvPrqq1hbWzNu3Lg8t0laWhpTpkwhKioKIyMjqlWrxpw5cxg8eHCBYxZClC6SCyQX6ItGPWknvWJw7949bG1tiYuLw8bGRt/hFN7k/jA3FNUIqr0Fq7psp9kpf0i+w2GDzTTt+Rrly0N0tLxA9HmXmJhIVFQUVapUwUw2tl60a9cOR0dHvvrqK32HIh6T277x559/4uzs/OznAiH+JblA/yQXlFy57R/5bRvIPTrFacxsMDNA8yssMoYFYf+D6kMBaGInLxAV4ml58OABCxcu5Pz581y4cIEZM2awd+9e+vbtq+/QhBBCFBPJBaWPNHSKU4UKMLArAK98A79c+46o8p3BwATNrSPMGZ/+yMGFC+UFokIUJY1Gw/bt22nWrBn169fnhx9+YNOmTbRt21bfoQkhhCgmkgtKH7lHp7iNXwTLtmB4QDH7TVh0eh0fufWGP1bwRq0FDLZuQkQE7N4NHTroO1ghng/m5ubs3btX32EIIYTQI8kFpY9c0SluLq4Q0AqA3j/A+nNfcK/qAACMY79l8vDfAXmBqBBCCCGEEE9CGjr6MHkJygBMdsJ4ywf879IhqNgJUAS3W4SBQfoVHXmBqBBCCCGEEIUjDR19qF4DTY8GAAzfC58e/4hUzzEA2NwMpe9b/wDyAlEhhBBCCCEKSxo6+vL2UgAstsAbRn/yzT//gF09SH1IiP8yAFavhr//1mOMQgghhBBCPKOkoaMvtX3g1ZqgYPIhWPTrQlSNcQC4PPyY5r6JJCXBsmV6jlMIIYQQQohnkDR09OntjwGw+wZqJoRx1KAyWLhA0k0WjEh/cdXSpfDwoT6DFEIIIYQQ4tkjDR19atQG2rhCCsw6AQuPfQw1RgNQ32IBbm5p8gJR8dxp2bIlo0eP1n52c3NjcR43pGk0GrZs2fLEdRfVckqL4tw2QojSRXLBs+NZzgXS0NG3qR8AUHEDJF/7hqvl2oGxLZr7F1k8fhsgLxAVJUOXLl1yfKnaL7/8gkaj4eTJkwVeblhYGIMGDXrS8HSEhIRQt27dLOUxMTF07NixSOvKbOXKlZQpU+ap1pFfLVu2RKPRZBlSUlKKLYZly5ZRp04dbGxssLGxoXHjxuzYsaPY6hdCFC3JBfkjuUCXvnKBNHT0reUb0NgBkmD+efjwxApwHwxA52rzsbaGyEjYtUvPcYpSLygoiH379nH16tUs41asWEHdunWpV69egZdbvnx5LCwsiiLEPDk6OmJqalosdZUUAwcOJCYmRmcwMiq+d0VXrlyZOXPmcPz4cY4fP07r1q3p2rUr58+fL7YYhBBFR3LBs6m05gJp6OibRgNT3wGg+gY4HfEp96v0A40RRrd/5p1RxwBYtEifQQoBr7zyCg4ODqxcuVKn/MGDB6xfv56goCBu3bpFz549qVy5MhYWFtSuXZu1a9fmutzMl8QvXbpE8+bNMTMzw8vLiz179mSZZ9KkSXh4eGBhYUHVqlWZNm0ajx49AtLPos2cOZPTp09rz1plxJz50vrZs2dp3bo15ubm2NvbM2jQIOLj47XjAwMD6datG/Pnz8fJyQl7e3uGDx+uraswoqOj6dq1K1ZWVtjY2NCjRw/+fuzxiqdPn6ZVq1ZYW1tjY2ND/fr1OX78OABXr16lS5cu2NnZYWlpSa1atdi+fXuu9VlYWODo6KgzZNi0aRO1atXC1NQUNzc3FixYkOuy8rNtMuvSpQudOnXCw8MDDw8PZs2ahZWVFUePHs1zXiFEySO5QHLBs5QLiq8pJ3LWaRCq7iQ04XHMv/CQLy7sZLRbL4j6koFNFzDOYL32BaIvvKDvYMXTlVCIeUz5b1dOAZJIP4dhno/lWua7FiMjIwICAli5ciXTp09Ho9EAsHHjRpKTk/H39+fBgwfUr1+fSZMmYWNjw7Zt2+jTpw9Vq1alUaNGedaRlpZG9+7dKVeuHEePHuXevXs6fbgzWFtbs3LlSipWrMjZs2cZOHAg1tbWTJw4ET8/P86dO8fOnTvZu3cvALa2tlmW8eDBA15++WVeeuklwsLCuHHjBgMGDCA4OFgnge/fvx8nJyf279/P77//jp+fH3Xr1mXgwIH5XncZlFJ069YNS0tLfvrpJ1JSUhg2bBh+fn4cOHAAAH9/f1588UWWLVuGoaEh4eHhGBsbAzB8+HCSk5P5+eefsbS0JCIiAisrqwLHAXDixAl69OhBSEgIfn5+HDlyhGHDhmFvb09gYGCW6fO7bXKTmprKxo0bSUhIoHHjxoWKW4jSozjzgeQCyQXPaS5Qz4C4uDgFqLi4OH2H8vRsmKUUqDQ7VOtPKqqUWyeVWoNSXxuoYX3/UKBU//76DlIUlYcPH6qIiAj18OHDTGMoxLDhsfk3/FvWItNyy+Uwb8FERkYqQO3bt09b1rx5c9WzZ88c5+nUqZMaN26c9nOLFi3UqFGjtJ9dXV3VokWLlFJK7dq1SxkaGqpr165px+/YsUMB6ttvv82xjnnz5qn69etrP8+YMUN5e3tnme7x5SxfvlzZ2dmp+Ph47fht27YpAwMDFRsbq5RSqm/fvsrV1VWlpKRop3nzzTeVn59fjrGEhoYqW1vbbMft3r1bGRoaqujoaG3Z+fPnFaCOHTumlFLK2tparVy5Mtv5a9eurUJCQnKsO7MWLVooY2NjZWlpqR3Gjh2rlFKqV69eql27djrTT5gwQXl5eWk/F8W2UUqpM2fOKEtLS2VoaKhsbW3Vtm3bcpw2531DqWvXrj3/uUCUKrn93os3HxSM5ALJBU87FyiV+/6R37aBdF0rKbpPQnmao7kDMyKusyX2D3BsDyqN/3tjMSAvEBX6V6NGDZo0acKKFSsAuHz5MgcPHqR///5A+lmaWbNmUadOHezt7bGysmL37t1ER0fna/mRkZG4uLhQuXJlbVl2Z3u++eYbmjZtiqOjI1ZWVkybNi3fdTxel7e3N5aW/53J9PX1JS0tjYsXL2rLatWqhaGhofazk5MTN27cKFBdj9fp7OyMs7OztszLy4syZcoQGRkJwNixYxkwYABt27Zlzpw5XL58WTvtyJEjee+99/D19WXGjBmcOXMmzzr9/f0JDw/XDlOmTNHG4uvrqzOtr68vly5dIjU1NdvY87NtsuPp6Ul4eDhHjx5l6NCh9O3bl4iIiHzNK4QoeSQXSC54VnKBNHRKCkNDNJOHANB0E3x5dC7UHA+A04MvaN/yNsnJ6e/VEc+z+EIMrz02/2v/lmV+ksmVHOYtuKCgIDZt2sS9e/cIDQ3F1dWVNm3aALBgwQIWLVrExIkT2bdvH+Hh4XTo0IHk5OR8LVtl83jBjG4RGY4ePcpbb71Fx44d2bp1K6dOnWLq1Kn5ruPxujIvO7s6M7oKPD4uLS2tQHXlVefj5SEhIZw/f57OnTuzb98+vLy8+PbbbwEYMGAAf/zxB3369OHs2bP4+Pjw8ccf51qnra0t7u7u2qFcuXI5xpLd+s9tXE7rLzMTExPc3d3x8fFh9uzZeHt78+GHH+ZrXiFKr+LMBwUnuUByQYaSnAukoVOS+M9BuRpj8DcEhYcRlmoLZepASgLzh/wPkBeIPv8sCzE8fqud0b9lj/fHzm25BdejRw8MDQ35+uuvWbVqFf369dMe5A4ePEjXrl3p3bs33t7eVK1alUuXLuV72V5eXkRHR3P9+nVt2S+//KIzzeHDh3F1dWXq1Kn4+PhQvXr1LE//MTExyfZMVOa6wsPDSUj4r7/64cOHMTAwwMPDI98xF0TG97t27Zq2LCIigri4OGrWrKkt8/DwYMyYMezevZvu3bsTGhqqHefs7MyQIUPYvHkz48aN47PPPit0LIcOHdIpO3LkCB4eHjpnLTPHntu2yS+lFElJSYWaV4jSozjzQcFJLig8yQXpiiMXSEOnJDE2QTOxFwCdt8CyX+Zpr+q8YPwR1asm8c8/8gJRoV9WVlb4+fnx9ttvc/36dZ2bFd3d3dmzZw9HjhwhMjKSwYMHExsbm+9lt23bFk9PTwICAjh9+jQHDx5k6tSpOtO4u7sTHR3NunXruHz5Mh999JH2LFcGNzc3oqKiCA8P559//sn2QOrv74+ZmRl9+/bl3Llz7N+/nxEjRtCnTx8qVKhQsJWSSWpqqk4XgfDwcCIiImjbti116tTB39+fkydPcuzYMQICAmjRogU+Pj48fPiQ4OBgDhw4wNWrVzl8+DBhYWHaxDd69Gh27dpFVFQUJ0+eZN++fTpJsSDGjRvHjz/+yLvvvstvv/3GqlWr+OSTTxg/fny20+dn22Tn7bff5uDBg1y5coWzZ88ydepUDhw4gL+/f6HiFkKUDJIL8ia54D96ywW53sFTQpSKhxFkeHhPpTkaKAVq1ShU9O3fldpcSak1qJ1LVyhQqmZNpdLS9B2oeBK534Ba8h05ckQBqn379jrlt27dUl27dlVWVlbKwcFB/d///Z8KCAhQXbt21U6T2w2oSil18eJF1bRpU2ViYqI8PDzUzp07s9zkOGHCBGVvb6+srKyUn5+fWrRokc5Nn4mJier1119XZcqUUYAKDQ1VSqksyzlz5oxq1aqVMjMzU2XLllUDBw5U9+/f147v27evTuxKKTVq1CjVokWLHNdNaGioArIMrq6uSimlrl69ql599VVlaWmprK2t1Ztvvqm94TUpKUm99dZbytnZWZmYmKiKFSuq4OBg7e8kODhYVatWTZmamqry5curPn36qH/++SfHWDKv68y++eYb5eXlpYyNjZWLi4v64IMPdMYXZttk1r9/f+Xq6qpMTExU+fLlVZs2bdTu3btznF4eRiBKE8kFo7SfJRdILsisKB5GoFEql454OVi6dCkffPABMTEx1KpVi8WLF9OsWbNspz1w4ACtWrXKUh4ZGUmNGjXyVd+9e/ewtbUlLi4OGxubgob77JnfDSZ8R3I1mPHJWGa7OEL4RFKtvLDrfY779zXs2AEvv6zvQEVhJSYmEhUVRZUqVTAzM9N3OEKUGLntG3/++SfOzs6lJxeI557kAiFyltv+kd+2QYG7rq1fv57Ro0czdepUTp06RbNmzejYsWOeT7m4ePGizttYq1evXtCqS48h/0PZgcllcPnxE+Jde4GRNYbxESwYtxOAhQv1HKMQQgghhBAlWIEbOgsXLiQoKIgBAwZQs2ZNFi9ejLOzM8uWLct1PgcHB523sWZ3g5P4l1UFGNkCgL7bkll1bjO4p7+QqrfPfAwMYM8eOHtWn0EKIYQQQghRchWooZOcnMyJEydo3769Tnn79u05cuRIrvO++OKLODk50aZNG/bv31/wSEsZzcjPUFZgEQnJ34eQ5jECNIaYx+1jQtBJABYt0m+MQgghhBBClFQFauj8888/pKamZnkKRYUKFXJ8moaTkxPLly9n06ZNbN68GU9PT9q0acPPP/+cYz1JSUncu3dPZyh1ylYnbUhdAPptu83WP0+Dix8A419ZAKQ/fa0ADzERQohnSuZccP/+fX2HJIQQ4hlSqMdLZ/dioZxeFuTp6cnAgQOpV68ejRs3ZunSpXTu3Jn58+fnuPzZs2dja2urHR5/c2xpYjh+OcoMypyG37+ZADXHAVAuYT3d2kWTnAx59BgUQohnVuZc4OXlpe+QhBBCPEMK1NApV64choaGWa7e3Lhxo0DPGn/ppZdyfXHUlClTiIuL0w6Pv1CpVKnQgJR+VQHw33qJU0kaqNAaVCpz+6e/SVZeICqEeF5lzgURERH6DkkIIcQzpEANHRMTE+rXr8+ePXt0yvfs2UOTJk3yvZxTp07h5OSU43hTU1NsbGx0htLKePJSMIIKv8LBDaO1LxCtbrCc2jXu8s8/sHq1fmMUQoinIXMusLa21ndIQgghniEF7ro2duxYPv/8c1asWEFkZCRjxowhOjqaIUOGAOln4AICArTTL168mC1btnDp0iXOnz/PlClT2LRpE8HBwUX3LZ5nLh1I8i8PwKvf/EyMlTfYeqFJiWfJmM+A9IcSpKXpM0ghhBBCCCFKlgI3dPz8/Fi8eDHvvPMOdevW5eeff2b79u24uroCEBMTo/NOneTkZMaPH0+dOnVo1qwZhw4dYtu2bXTv3r3ovsVzzvTtBWAAbodg+6aJUCP9qo5vuQ+xt0smMhJ27dJzkEIIIYQQQpQghXoYwbBhw7hy5QpJSUmcOHGC5s2ba8etXLmSAwcOaD9PnDiR33//nYcPH3L79m0OHjxIp06dnjjwUsWjN0ndrQDwXbOOB5W6gZkjBol/8dH49YC8QFQ8u1q2bMno0aPzPf2VK1fQaDSEh4c/tZieN4GBgXTr1i3XaQq6HYQQoihJLnj6SmMuKFRDRxQ3DUZTQwDw3JfK9h3zwXMkAG94zcfAQLF3r7xAVDxdGo0m1yEwMLBQy928eTPvvvtuvqd3dnYmJiaGF154oVD15VdJSqIhISHZrvO9e/fqJZ7Dhw9jZGRE3bp19VK/EEJ/JBfoj+SCgjPSdwAifwzrjia509uYbE/G4/OFpG26hsH5WZg8OMPMoXuZtqQdixbBihX6jlQ8r2JiYrT/X79+PdOnT+fixYvaMnNzc53pHz16hLGxcZ7LLVu2bIHiMDQ0xNHRsUDzPA9q1aqVJZkVdN0Vhbi4OAICAmjTpg1///13sdcvhNAvyQX6JbmgYOSKzjPDkLS30x/gUHt3Ij8f3QJVgwAIbpP+TiJ5gah4mhwdHbWDra0tGo1G+zkxMZEyZcqwYcMGWrZsiZmZGatXr+bWrVv07NmTypUrY2FhQe3atVm7dq3OcjNfJndzc+P999+nf//+WFtb4+LiwvLly7XjM59dO3DgABqNhh9//BEfHx8sLCxo0qSJTuIFeO+993BwcMDa2poBAwYwefLkJzoLlZSUxMiRI3FwcMDMzIymTZsSFhamHX/nzh38/f0pX7485ubmVK9endDQUCD93sXg4GCcnJwwMzPDzc2N2bNn51qfkZGRzjZwdHTExMQEgLNnz9K6dWvMzc2xt7dn0KBBxMfH57ishIQEAgICsLKywsnJiQULFuT7ew8ePJhevXrRuHHjfM8jhHh+SC7QJbmgZOcCaeg8Q8x83yellQGaFLD5eBLUGA0aA8o83E2fLmdITk5/r454BikFKQn6GZQqsq8xadIkRo4cSWRkJB06dCAxMZH69euzdetWzp07x6BBg+jTpw+//vprrstZsGABPj4+nDp1imHDhjF06FAuXLiQ6zxTp05lwYIFHD9+HCMjI/r3768dt2bNGmbNmsXcuXM5ceIELi4uLHvCt+1OnDiRTZs2sWrVKk6ePIm7uzsdOnTg9u3bAEybNo2IiAh27NhBZGQky5Yto1y5cgB89NFHfP/992zYsIGLFy+yevVq3NzcChXHgwcPePnll7GzsyMsLIyNGzeyd+/eXJ9sOWHCBPbv38+3337L7t27OXDgACdOnMizrtDQUC5fvsyMGTMKFasQIh/0lQ8kFxSK5IKSTbquPVNMeTCxBzb711F3220io/6gpvMbEL2Bd3st4KsfVrF0KUyZApmuHIuSLvUBbLDST9094sHIskgWNXr06CxPVBw/frz2/yNGjGDnzp1s3LiRRo0a5bicTp06MWzYMCA9YS5atIgDBw5Qo0aNHOeZNWsWLVq0AGDy5Ml07tyZxMREzMzM+PjjjwkKCqJfv34ATJ8+nd27d+d6pis3CQkJLFu2jJUrV9KxY0cAPvvsM/bs2cMXX3zBhAkTiI6O5sUXX8THxwdAJ3lFR0dTvXp1mjZtikaj0T61Mjdnz57Fyuq/34iXlxfHjh1jzZo1PHz4kC+//BJLy/Tt+Mknn9ClSxfmzp2b5WXO8fHxfPHFF3z55Ze0a9cOgFWrVlG5cuVc67906RKTJ0/m4MGDGBlJ6hDiqdFXPpBcUGCSC0p+LpArOs8Ymw7LSG0EBknwYG6Q9gWiLuprGnv/ya1b8NVXeg5SlFoZB/IMqampzJo1izp16mBvb4+VlRW7d+/WeQR9durUqaP9f0a3iBs3buR7nowXEmfMc/HiRRo2bKgzfebPBXH58mUePXqEr6+vtszY2JiGDRsSGRkJwNChQ1m3bh1169Zl4sSJHDlyRDttYGAg4eHheHp6MnLkSHbv3p1nnZ6enoSHh2uHTZs2ARAZGYm3t7c2sQH4+vqSlpaWpctGRuzJyck63Q3Kli2Lp6dnjnWnpqbSq1cvZs6ciYeHR56xCiFKN8kFkgtKipLfFBO6NGW4M6YF5d76ibpbrnJztg3lHZqjufEzHwV/TIOBc1m0CAYMAANpxj47DC3Sz6bpq+4i8vgBFtK7HSxatIjFixdTu3ZtLC0tGT16NMnJybkuJ/ONqxqNhrQ83or7+DwajQZAZ56MsgzqCbppZMyb3TIzyjp27MjVq1fZtm0be/fupU2bNgwfPpz58+dTr149oqKi2LFjB3v37qVHjx60bduWb775Jsc6TUxMcHd3zzaWzHFkyK68MN/7/v37HD9+nFOnTmm7QaSlpaGUwsjIiN27d9O6desCL1cIkQ195QPJBQUmuaDk5wL5U/gZZP/mGtK8wTABrs3qqX2BaH2bT6nkcI8LF+QFos8cjSa9y4A+hhwOjEXh4MGDdO3ald69e+Pt7U3VqlW5dOnSU6svJ56enhw7dkyn7Pjx44Venru7OyYmJhw6dEhb9ujRI44fP07NmjW1ZeXLlycwMJDVq1ezePFinRtpbWxs8PPz47PPPmP9+vVs2rRJ26e7ILy8vAgPDychIUFbdvjwYQwMDLI94+bu7o6xsTFHjx7Vlt25c4fffvstxzpsbGw4e/aszlnEIUOGaM8s5tb1RAhRQPrKB5ILCkxyQcnPBXJF5xmkMajE3yNr4Rh0nhfWnSLx/YaY2XiiuXeRJeO+oNukMSxcCP92FxVCb9zd3dm0aRNHjhzBzs6OhQsXEhsbq5MAisOIESMYOHAgPj4+NGnShPXr13PmzBmqVq2a57zZXfL38vJi6NChTJgwgbJly+Li4sK8efN48OABQUHpT0OcPn069evXp1atWiQlJbF161bt9160aBFOTk7UrVsXAwMDNm7ciKOjI2XKlCnwd/P392fGjBn07duXkJAQbt68yYgRI+jTp0+WPtkAVlZWBAUFMWHCBOzt7alQoQJTp07FIJdLwAYGBlneVZHxhKGn/Q4LIcSzT3KB5AJ9kYbOM8q+99eoed6YXISz7wdQe8g4ODaIztUWY2oSzN69xrz6KsycCS++qO9oRWk1bdo0oqKi6NChAxYWFgwaNIhu3boRFxdXrHH4+/vzxx9/MH78eBITE+nRoweBgYFZzuxl56233spSFhUVxZw5c0hLS6NPnz7cv38fHx8fdu3ahZ2dHZDevWDKlClcuXIFc3NzmjVrxrp164D0BDN37lwuXbqEoaEhDRo0YPv27bkmmJxYWFiwa9cuRo0aRYMGDbCwsOD1119n4cKFOc7zwQcfEB8fz6uvvoq1tTXjxo0r9m0ihCg9JBdILtAXjXqSzonF5N69e9ja2hIXF4eNjY2+wykxYj6ujNPIv0gsp8H0j3/Q7KkJiTf49u+veWN8TzK6pHbvDiEhULu2XsMVj0lMTCQqKooqVapgZmam73BKpXbt2uHo6MhX8vSOEiW3fePPP//E2dlZcoF4bkgu0D/JBSVXbvtHftsGco/OM8wy8HNwAbN/FJcXj4Xq6TeGvVZjPhHnFb16pXe53bwZ6tQBPz+IiNBz0ELowYMHD1i4cCHnz5/nwoULzJgxg71799K3b199hyaEEKKYSC4ofaSh8wyzsX6Zv4fbAlBx2WpwGwCG5nDnJJ52B1izBs6dgx490qffsAFeeAH8/SGbrqZCPLc0Gg3bt2+nWbNm1K9fnx9++IFNmzbRtm1bfYcmhBCimEguKH2kofOMSw2cAxXAIiaVmJVLoGr6S7CInA+AlxesXw+nT8Nrr6W/+Pjrr9PL+/aFy5f1GLwQxcTc3Jy9e/dy+/ZtEhISOHnyZJaX2QkhhHi+SS4ofaSh84yr6DCYW0NNAbBeuACqjwQ0cH07/Pwa/JN+g12dOuld2E6cgC5dIC0NvvwSPD3T37lz5Yr+voMQQgghhBBFTRo6zzwN/wSMBDuwupLIvR9+hFpT0kf9uQV2N4If20Lsj6AU9erB99/DsWPpj59OTYUvvoDq1WHIELh2Ta9fRgghhBBCiCJRChs6Jf4hcwXm4TaLe0MM0z+8PwXqvAedI6BKX9AYwd8/wr62sKsRXNsCKo0GDWD7djhyBNq1g5QU+N//wN0dgoPhr7/0+pWEEEIIIYR4IqWsoRMKdAMe6TmOoqXRGHOpV3ewApsL93j0/WawrQmNV8Krv4NHMBiawe0wOPgabK8Nf3wJaY9o3Bh274aff4aWLSE5GZYsgWrVYPRoiI3V85cTQgghhBCiEEpRQycWCAa+B/oDafoNp4jVrvk/Hg5K///DmcPTnzoAYOkKPh9D16tQ620wtoW4CDjaF36oDr8tgZSHNGsG+/fDvn3QtCkkJcGHH0LVqjB+PNy8qb/vJoQQQgghREGVooaOI7ARMAJWA2N5nrqxmRjaEf6WL5iCzam/Ufv36U5g5gDes9IbPN6z0z8nXIXjwfC9G5yfDclxtGqVfnVn925o1AgePoQFC6BKFZgyBW7d0svXE8+Rli1bMnr0aO1nNzc3Fi9enOs8Go2GLVu2PHHdRbWc0qI4t40QonSRXPDseJZzQSlq6AB0Alb++/8Pgff1F8pT4FkrlEf/Pl06fsaQ/67qPM7EFmpNhlevgM8SsHSDxBtw+m34zgXCp6BJ/Jt27eCXX9Lv4/HxgYQEmDMH3Nxg2jS4c6cYv5goEbp06ZLjuwZ++eUXNBoNJ0+eLPByw8LCGDRo0JOGpyMkJIS6detmKY+JiaFjx45FWldmK1eupEyZMk+1jvxq2bIlGo0my5CSkqKXeGbPno1Go9H540YI8WyRXJA/kgtyVpy5oJQ1dAD8SW/kAPwf8KkeYylaZS2qc8zfA4zA+tDv4OsLO3dm3+AxMgePYdDlN2j8Jdh6waN7EDEn/QpPWDCahCt07Jj+hLbvvgNvb4iPh/feS2/wzJwJcXHF/S2FvgQFBbFv3z6uXr2aZdyKFSuoW7cu9erVK/Byy5cvj4WFRVGEmCdHR0dMTU2Lpa6SYuDAgcTExOgMRkZGxR5HWFgYy5cvp06dOsVetxCi6EgueDaV1lxQChs6ACNJb+QADCO9S9vzoYLXUlIXAGakX5Lp2BH1Ul3Yti37Bo+BMVTpA53OQvMtYN8QUhPh0hL4wR2OBKC5F8Grr8LJk7BpE7zwAty7ByEh6V3a3n8f7t8v1q8p9OCVV17BwcGBlStX6pQ/ePCA9evXExQUxK1bt+jZsyeVK1fGwsKC2rVrs3bt2lyXm/mS+KVLl2jevDlmZmZ4eXmxZ8+eLPNMmjQJDw8PLCwsqFq1KtOmTePRo/SHjKxcuZKZM2dy+vRp7VmrjJgzX1o/e/YsrVu3xtzcHHt7ewYNGkR8fLx2fGBgIN26dWP+/Pk4OTlhb2/P8OHDtXUVRnR0NF27dsXKygobGxt69OjB33//rR1/+vRpWrVqhbW1NTY2NtSvX5/j/8/eeYdHUbxx/HM1vUEgBEhCCQFC703pXREEBQEpiiJVkGJDqiIWEMSOPwVsiAjYQOkgRVroJISSQCiBkADpyV3u5vfHJJceEgiEMp/nmed2Z2dnZveSm/3uvPO++/cDcO7cOXr06IGHhwdOTk7UqlWLtWvXFtieo6Mj5cqVy5YyWLlyJbVq1cLOzo5KlSoxb968AusqzHeTFwkJCQwcOJCvv/4aDw+PQp2jUCjuTdRYoMaC+2kseEiFDsAsYARync5AoHBf0r2Of6kO/NaxNQknkMuQHECz9wg8/jiisS/8/l3egkejhYo9ofNuaL8JynUEYYGz38OaWvDvk2iv7aV3bzh8GJYvh5o1pQnblClS8HzwgTRxUzyY6PV6Bg8ezJIlSxBZ/oZWrFiByWRi4MCBpKSk0KhRI/766y+OHTvG8OHDGTRoEHv27ClUG1arld69e6PT6di9ezdffvklr732Wq5yLi4uLFmyhODgYD7++GO+/vpr5s+fD0C/fv2YOHEitWrVsr216tevX646kpKS6Nq1Kx4eHuzbt48VK1awceNGxowZk63cli1bOHPmDFu2bGHp0qUsWbIk1wBfWIQQ9OrVi2vXrrFt2zY2bNjAmTNnsvVv4MCBVKxYkX379hEUFMTrr7+OwWAAYPTo0aSmpvLvv/9y9OhR3n//fZydnW+pL0FBQfTt25dnnnmGo0ePMmPGDKZOnZrvtRX2u8mL0aNH89hjj+Vr7qJQKO4f1FigxoL7aiwQ9wGxsbECELGxscVcc5oQoq8QAiGEkxBiTzHXX3IcjvxPfLW/rdi4WyMskxHCCSGkxBGWus5CrJwghCWh4Eqi9wqx7UkhfiQzbWwvRORGIaxWkZYmxI8/ClGtmq1qUaaMEPPmCZGYeHeu834lOTlZBAcHi+Tk5OwHzAlFTxZz5vkWc3p+UuHqLSIhISECEJs3b7bltW7dWvTv3z/fc7p37y4mTpxo22/Tpo0YN26cbd/Pz0/Mnz9fCCHEunXrhE6nE+fPn7cd//vvvwUgVq9enW8bH3zwgWjUqJFtf/r06aJevXq5ymWtZ9GiRcLDw0MkJGTehzVr1gitVisuX74shBBiyJAhws/PT6SlpdnKPP3006Jfv3759mXx4sXCzc0tz2Pr168XOp1ORERE2PKOHz8uALF3714hhBAuLi5iyZIleZ5fp04dMWPGjHzbzkmbNm2EwWAQTk5OtjRhwgQhhBADBgwQnTp1ylZ+8uTJIjAw0LZfHN/NsmXLRO3atW1/6zm//5zk+78hhDh//vwdGgsUipKhoL/3uzoeFBE1Fqix4E6PBUIU/P9RWG1w943z7il0wHfANWAj0A3YAdQsyU4VC3XLNaduuS3EJMXwGfNJavUpgzbGUn4JaI8kQJ+PEHXmw1tt0Dw1FbRtyTXBV7oJtF4FsSEQ/D6c/RGubJapVBN0td5gQP+e9O2r5ccfYdYsCAuDiRPhww+ll7bhw8HevgRuwP3KL7fwRuaRX8D3abl9YTXs6Atl20DHrZllfq8EqdG5zx1QNM+DNWrUoGXLlnz77be0a9eOM2fOsH37dtavXw+AxWLhvffeY/ny5Vy8eJHU1FRSU1NxcnIqVP0hISH4+vpSsWJFW16LFi1ylfv1119ZsGABp0+fJiEhgbS0NFxdXYt0LSEhIdSrVy9b31q1aoXVaiU0NBQvLy8AatWqhU6ns5Xx9vbm6NGjRWora5s+Pj74+PjY8gIDA3F3dyckJIQmTZowYcIEXnjhBb7//ns6duzI008/TdWqVQF4+eWXGTlyJOvXr6djx4706dPnpnbOAwcOZMqUKbb9jMWxISEh9OzZM1vZVq1asWDBAiwWS7ZrzihfmO8mK+fPn2fcuHGsX78ee/VDoFAUjbs5HqixQI0FWXiQxoKH2HQtAztgNdAUKXg6Aw+OS7HSjqUZ2+wdJvaIZveolYz6rAHbB4PVBTRHBZp+W6FOB6zLyoDlNSA4dyX5Bh/tDWtqo4/4jiGDzJw4Af/7H/j5yUCj48aBvz98/rmMy6N4MBg2bBgrV64kLi6OxYsX4+fnR4cOHQCYN28e8+fP59VXX2Xz5s0cOnSILl26YDKZClW3yMOsUqPRZNvfvXs3zzzzDN26deOvv/7i4MGDTJkypdBtZG0rZ915tZlhKpD1mNV6a3G48msza/6MGTM4fvw4jz32GJs3byYwMJDVq1cD8MILLxAWFsagQYM4evQojRs35pNPPimwTTc3N/z9/W3J09Mz377kdf8LOpbf/csgKCiIqKgoGjVqhF6vR6/Xs23bNhYuXIher8disRR4vkKhuHdRY4EaCzK4l8eCh3xGJwNnYA3QGhgKPHiLZfVaPb1r9qZ3zd4c6XKECV0+pMGKZTyzyYJdMGgHXIOZH8BbH8Az9UE/GOiPjD+UTkbw0dpTIfRjGWw0LkQGHz06DUONSQwbMoxBgxxYvFh6Z7twAUaPhvffh7fegqFDIcdvhSIrfRNuXiYn2iyeYyo+mV5HjncYPc/eTq+y0bdvX8aNG8dPP/3E0qVLefHFF20/ctu3b6dnz548++yzgLTlPXXqFDVrFm6WNDAwkIiICC5dukT58uUB6a40Kzt37sTPzy/bm6mc3n+MRuNNfzgDAwNZunQpiYmJtjd5O3fuRKvVEhAQUKj+FpWM6zt//rztTV5wcDCxsbHZ7lFAQAABAQG88sor9O/fn8WLF/Pkk08C4OPjw4gRIxgxYgRvvPEGX3/9NWPHjr2lvuzYsSNb3q5duwgICMj1Bi9r3wv6bnLSoUOHXG88n3vuOWrUqMFrr72WZzsKhSKde3w8UGPBraPGgrs3FqgZHRueQBDwakl35I5T16suCwZ8T4+fovhyxUzmP+ZKvBMQCgwCAg/B0gkIc3mgKzLAahYvA/kFHw0aC7/7YTw1h5eei+X0afj0U/D2hogIacZWvTosXgwl5Lr93kfvVPSkzfK+QqtPz3coXL23gLOzM/369ePNN9/k0qVLDB061HbM39+fDRs2sGvXLkJCQnjppZe4fPlyoevu2LEj1atXZ/DgwRw+fJjt27dnG8Qy2oiIiODnn3/mzJkzLFy40PaWK4NKlSoRHh7OoUOHiI6OJjWPKcWBAwdib2/PkCFDOHbsGFu2bGHs2LEMGjTIZqpwq1gsFg4dOpQtBQcH07FjR+rWrcvAgQM5cOAAe/fuZfDgwbRp04bGjRuTnJzMmDFj2Lp1K+fOnWPnzp3s27fPNvCNHz+edevWER4ezoEDB9i8eXOhHxxyMnHiRDZt2sTbb7/NyZMnWbp0KZ9++imTJk3Ks3xhvpucuLi4ULt27WzJycmJ0qVLU7t27Vvqt0Lx0HA3x4NbQI0FN0eNBZKSHAuU0MlG1h+DeOBN4MG1uSrlUIpxXaYx9o8Ytm75ga+fqkKMI3AKGAqaGgK+WQfmQYAXMBhYD6S/Hckr+GjqVVvwUbuQNxj9/BXOnIEFC8DLC8LD4fnnpce2778HZblyfzJs2DCuX79Ox44d8fX1teVPnTqVhg0b0qVLF9q2bUu5cuXo1atXoevVarWsXr2a1NRUmjZtygsvvMDs2bOzlenZsyevvPIKY8aMoX79+uzatYupU6dmK9OnTx+6du1Ku3btKFOmTJ5uTR0dHVm3bh3Xrl2jSZMmPPXUU3To0IFPP/20aDcjDxISEmjQoEG21L17d5tLUw8PD1q3bk3Hjh2pUqUKy5cvB0Cn0xETE8PgwYMJCAigb9++dOvWjZkzZwJy0Bw9ejQ1a9aka9euVK9enc8///yW+tiwYUN++eUXfv75Z2rXrs20adOYNWtWtoeVrBTmu1EoFA8XaiwoGDUWlDwaUZAh3j1CXFwcbm5uxMbGFnmR2a0hgA7AFqQp2+K70Oa9wfGwPZx4exyPrthD2fRJHLMPGN5C3gojgDfSrG0QUA9It820muHczzLoaGz6Wh+dPVR5HmpOJklbic8/l2Zs0enrIKtXh+nToW9feJisWFJSUggPD6dy5cpqkbZCkYWC/jcuXLiAj4/PXRwLFIo7ixoLFIr8Kej/o7DaQM3o5IkGOZtTERhzk7IPFrWqNKPP4t3oz0awZczjXHXRYjgPvATxvpC8UAepkcBHQAOgLvA+cKGA4KOfw5/+OB4azKQXgwkPhzlzoFQpCA2FAQOgXj349Ve4xXV9CoVCoVAoFApFNpTQyZeOSBuuRiXdkRKhlKcP7T75k1KRsRx5cxjR7kZcroDDOAvR5SFkuj1piTrgGPA64Au0BxaDJqHA4KPOB3rx+gt7CA+Ht98Gd3c4fhyefhoaNIDffss7pqlCoVAoFAqFQlFYlNApkKzTZHuAL0uqIyWGzsmZurP/h2dkLJfmvMk1Tyc8r0HNWSlEe1tY/ZKB8IsVkOZ+W4Dnket5ngHNWij3KLTfAF32gk9vWemF32F9c1z3deCtFzYSHiaYPh1cXeHIEXjySWjUCP76SwkehUKhUCgUCsWtoYROoQhDrtkZCXxfwn0pIeztKf/6bEpdiCHx47nEeblTLh6eXGTGsfpF3u0JP++pQaLJF0gBlgOPAxWAl6E08Oiv8FgwVB4CGr0MPLq5E+57mjFj2GrCw6y8+SY4OcHBg9CjBzRrBv/8owSPQqFQKBQKhaJoKKFTKCoDL6ZvPwf8VYJ9KWHs7HB6eSKuEVewfvUViRXK4pUIb/4BHdqf4O3uEQz5rgrHojogRBngKvAJMiBrTXBbCS2mpwcfHZst+Gip/2oze9hSzoaZefVVcHSEffugWzdo1Qo2blSCR6FQKBQKhUJROG5J6Hz++ec2DwiNGjVi+/bthTpv586d6PV66tevfyvNliAaYB7Sy5gFeBrYUeAZDzxGI9rhw3EKvwDffktqJR/KJMF7m+CjEWEs678J/7fNfHvgKRJNPZGuu0OBqUAVcHoWGteGnoeh1ptgcEsPPjoUz13+vP/8p4SdSmLCBLC3h//+g06doG1b2LatRK9coVAoFAqFQnEfUGShs3z5csaPH8+UKVM4ePAgjz76KN26dSMiIqLA82JjYxk8eDAdOnS45c7eLsejjrNwz0LMFvMtnK0FvgEeQ5pmPQ4cKc7u3Z8YDPDcc9idCoPvvsNSzZ/SyTB7M+yfc4OzE3/FZ/ofDFjZgZCrryFER6Rw3AG8BPZ1oN4J6Pkp1H9HBh9NioCgsXj9V4l5z79LeOgNXn4ZjEb4918pdjp0gJ07S/bSFQqFQqFQKBT3LkUWOh999BHDhg3jhRdeoGbNmixYsAAfHx+++OKLAs976aWXGDBgAC1atLjlzt4OQgjG/TOOcf+Mo/5X9dkYtvEWajEAvwCPALFAF+T6HQV6PQwahC7kBPz4I6JGDTxSYNZWCJ8vqLHwL1rNfZ96X17hxyPvYbLMRrqmNgGrwDgIAufBEz2g8YQswUenUG6PHx8/9wbhIVcYNUpqq82b4ZFHoEsX+PtvSEws0atXKBQKhUKhUNxjFEnomEwmgoKC6Ny5c7b8zp07s2vXrnzPW7x4MWfOnGH69OmFaic1NZW4uLhs6XYRCJ4OfJrSDqUJvhpMp+870evnXpy5dqaINTkCfyIf0i8DndI/FYCM+jlgAJpjx2D5cqhVC7dUmPYvnP0Y+i07yrgfXqPc3Lm8uqELF+PWApOB8sB10H8DAR9BD6BFT3DzB3McBL9H+X2V+GzoaMKOnuXFF6W2Wr8euncHDw9o3RpmzoTt28FkKtnboFAobp+cY0F8fHxJd0mhUCgU9xFFEjrR0dFYLBa8vLyy5Xt5eXH5ct4P+6dOneL111/nxx9/RK/XF6qdOXPm4ObmZks+Pj5F6WaeaDVaXmr8EqfGnmJcs3HoNDp+D/2dwM8DeXPTmySYEopQmzvwD1AFOaPTFbhx2318oNDpoG9f6S/611+hbl1cU2HKdjj3sYZX/7zO4g0f4rvgcZ5cfoot4UsRYj0wBHAG7Vmo/Dt0Pw2tq0HpSrbgoxUP+LNo6GDCDh5n5Ejw9QWzWQqcGTOk4PHwgK5d4cMPISgILJYSvRuKAmjbti3jx48vdPmzZ8+i0Wg4dOjQHevTg8bQoUPp1atXgWWK+j3cDXKOBYGBgSXdJYVCcYdQY8Gd534dC26HW3JGoNFosu0LIXLlAVgsFgYMGMDMmTMJCAgodP1vvPEGsbGxtnT+/Plb6WaeeDh4sKDrAo6MPEKnKp0wWUzM2TGHgE8C+P7w91iFtZA1eQPrkTFjDgNPAMnF1s8HBq0W+vSR/qJXr4YGDXAyCV7fCREfa3n/Hyu79v9G++86UffLCSwKakmSOQz4CegGGh1UPAWdz0IHLZTztAUf9TlSm8+f6cXZnWs4ExzNV19Bv35QpgwkJcG6dfDqq9C4sczr3Rs++wxCQpT3tltBo9EUmIYOHXpL9a5atYq333670OV9fHyIjIykdu3at9ReYbmXBtEZM2bkec83brwVE9xbY+vWrXn24cSJE3eszZxjQXBw8B1rS6FQFA41FpQcD+tYcDsUboolHU9PT3Q6Xa7Zm6ioqFyzPADx8fHs37+fgwcPMmbMGACsVitCCPR6PevXr6d9+/a5zrOzs8POzq4oXSsygWUCWffsOv4I/YMJ6ycQdj2Mwb8N5vP9n7Ow60KaVGhSiFqqAuuANsB2oB+wiiLe1ocDrRZ69YKePWUk0FmzcNi/n0n/wctBOhY11vBu82O8FPUSr298nWENhjG66edUcncAfgbN9+AVBF7REAME6+F8Glz4Hc2F36kCDC9XheFjm2Kd3pTw2Kas3d2QDZsd2LoVrl+XOmv1atkdb29o316mDh3Az6/E7sx9Q2RkpG17+fLlTJs2jdDQUFueg4NDtvJmsxmDwXDTekuVKlWkfuh0OsqVK1ekcx4EatWqlWswK+q9Kw5CQ0NxdXW17ZcpU+aOtZVzLCgOM2aFQnF7qLGgZHkYx4LboUgzOkajkUaNGrFhw4Zs+Rs2bKBly5a5yru6unL06FEOHTpkSyNGjKB69eocOnSIZs2a3V7vbxONRkPPGj0JHhXMnA5zcDI4sfvCbpr+rynP//48lxMKs/amHnLNjn16UjZSBaLRyEige/fC2rXQrBlGk4Uxu9KI+FTP0k2uOF65ztz/5lJ1YVWeXD6CzeF1EGIfEAy8CaV94dE06QDPH3DRyboTwuDcz2gPTqBq2COM9XLhj5ENubF+BGfWf8uiD47RqaMFe3uIjIQff4Rhw6BSJahaFYYPh59/hqioErs79zTlypWzJTc3NzQajW0/JSUFd3d3fvnlF9q2bYu9vT0//PADMTEx9O/fn4oVK+Lo6EidOnVYtmxZtnpzTpNXqlSJd999l+effx4XFxd8fX1ZtGiR7XjOt2sZb5c2bdpE48aNcXR0pGXLltkGXoB33nmHsmXL4uLiwgsvvMDrr79+W67uU1NTefnllylbtiz29vY88sgj7Nu3z3b8+vXrDBw4kDJlyuDg4EC1atVYvHgxINc7jhkzBm9vb+zt7alUqRJz5swpsD29Xp/tOyhXrhxGoxGAo0eP0r59exwcHChdujTDhw8nISF/c9zExEQGDx6Ms7Mz3t7ezJs3r9DXXbZs2Wx90Ol0hT5XoVDc/6ixIDtqLLi3x4Iim65NmDCB//3vf3z77beEhITwyiuvEBERwYgRIwBpajB48GBZuVZL7dq1s6WMP4TatWvj5ORUvFdzi9jp7Xj9kdc5OfYkg+oOAmDxocVExBbsMjuTR4H/gGXAnZ2JemDQaGQk0P/+kzZmLVuiN6UxeHsc5z7V88f2ilS4buW3E7/R4bsO1PmiDl/t/5dE05tAOLAN3F6Apm7QwwJPAe2QPiIquIC9ozRxu34QbdhXVLk6jBcr1GH9i24k/t6Ws7+9xk/vr6Rnp/PodIKwMPj6a+jfH7y8oE4dGD8e/vgDYmPvwv0QQrqOK4lUjHZ8r732Gi+//DIhISF06dKFlJQUGjVqxF9//cWxY8cYPnw4gwYNYs+ePQXWM2/ePBo3bszBgwcZNWoUI0eOvOm0+JQpU5g3bx779+9Hr9fz/PPP2479+OOPzJ49m/fff5+goCB8fX1v6inyZrz66qusXLmSpUuXcuDAAfz9/enSpQvXrl0DYOrUqQQHB/P3338TEhLCF198gaenJwALFy7kjz/+4JdffiE0NJQffviBSpUq3VI/kpKS6Nq1Kx4eHuzbt48VK1awceNG2yx6XkyePJktW7awevVq1q9fz9atWwkKCipUew0aNMDb25sOHTqwZcuWW+qzQqEogJIaD9RYcEuoseAeHwvELfDZZ58JPz8/YTQaRcOGDcW2bdtsx4YMGSLatGmT77nTp08X9erVK1J7sbGxAhCxsbG30t0i89/5/8S7/76bLe9k9Mki1GARQmwo1j498FitQmzaJETr1kLIn1thNejF9i6BouYkB8EMBDMQ7u+5i0nrJomwa2HpJ6YKIbYKId4UQjQWQmiEEAhhRYgEhDinF+KAnxAbqgix3EGIH8mVLL+WE5HLnxBrPnhHvPTEeuHmeD2jCwKE0GqFaNpUiDfeEGLDBiGSkm7/cpOTk0VwcLBITk6WGQkJIlujdzMlJBS5/4sXLxZubm62/fDwcAGIBQsW3PTc7t27i4kTJ9r227RpI8aNG2fb9/PzE88++6xt32q1irJly4ovvvgiW1sHDx4UQgixZcsWAYiNGzfazlmzZo0AbPe3WbNmYvTo0dn60apVqwJ/i3K2k5WEhARhMBjEjz/+aMszmUyifPny4oMPPhBCCNGjRw/x3HPP5Vn32LFjRfv27YXVas23/axMnz5daLVa4eTkZEtNmjQRQgixaNEi4eHhIRKyfI9r1qwRWq1WXL58WQghf5d79uwphBAiPj5eGI1G8fPPP9vKx8TECAcHh2zfQ05OnDghFi1aJIKCgsSuXbvEyJEjhUajyfb7Xxzk+t/Iwvnz5+/qWKBQ3Gny/HsvqfFAjQV5osaC7NytsUCIgseDwmqDW1pMMmrUKEaNGpXnsSVLlhR47owZM5gxY8atNHv7nP8NwpdC4Bvg2TTfYs0rNqd5xea2/TPXzlD7i9p0qNyBX57+BWejcwGNWJGew34AFgEvFk/fH3Q0msxFM9u2waxZaDZv5pF1wRzfpOd412a83CCSLSkRzP1vLvP+m8cT1Z9gbNOxtK/cHo2mDTAbuYBnE2jWg9M6cLoAvudkG1YgrjTEVIMYB4i5CjdC0KZephx/0L3CH3TvB1/2gziqE3ylKeuDmvLXf005dKAee/faMWeODFzasmXm+p4mTWRsHwU0btw4277FYuG9995j+fLlXLx4kdTUVFJTU286m1u3bl3bdoZZRNRNbAqznuPt7Q3I9YO+vr6Ehobm+s1q2rQpmzdvLtR15eTMmTOYzWZatWplyzMYDDRt2pSQkBAARo4cSZ8+fThw4ACdO3emV69eNhPfoUOH0qlTJ6pXr07Xrl15/PHHc7ntz0n16tX5448/bPsZa1dCQkKoV69etnvaqlUrrFYroaGhudZPnjlzBpPJlC2mWalSpahevfpN289apkWLFpw/f565c+fSunXrAs9VKBQPF2osUGPBvcLDtWo++H2I2Q0XfgOvdhD4OpTrJB+yC+C/C/8hhCDNmoaT4WbmdlqgIqBDrtlRFJk2bWDTJtixQwqeDRuo/dceNv2t48ITHZjeIoXFSTv5PfR3fg/9HTc7Nyq5V8qRHqeS+2iqeJhxtdsNrAftFnCPkalqeltpteF6HYhxhZhrEBMECWG4Ekpzr1Cad/+ead3BIgyci6vPtmPN2HykKXtDmzJ9WzWmTdPi7CxdWmcIn7p1pe+FIuHoCAXY0d5RHB2Lraqcg9a8efOYP38+CxYsoE6dOjg5OTF+/HhMNwl0lHPhqkajwWot2CNi1nMyvEBmPScvb5G3Ssa5BXmg7NatG+fOnWPNmjVs3LiRDh06MHr0aObOnUvDhg0JDw/n77//ZuPGjfTt25eOHTvy66+/5tum0WjE398/z77k5fUyr/5l7Xtx0Lx5c3744Ydiq0+hUFBy44EaC4qMGgsk9/JY8HAJnebfQsgHEP4DXNkik0cDKXh8+oA274VUz9Z9lmYVmtlc6AHEJMXwR+gfDKk/BK0m51Ptu8AzSEcFilvmkUdkRND//pOC559/8Fm9iW9/1zK/dw8WdnDmg+t/Epsay+Erhzl85XCe1WQIIf9S7WlbyY6mFWKpViocd/swNPpjUOYYlAEpTFtDymC4VgZioiB6L1zbiy41hipu+6jSah/Ppb+4STS5sS+sCTtPNGVvWFPmvtOUSZO8KV0a2rXLFD7Vqt1US8sC98iateJk+/bt9OzZk2effRaQg82pU6eoWbPmXe1H9erV2bt3L4MGDbLl7d+//5br8/f3x2g0smPHDgYMGABIz0L79+/Ptpi2TJkyDB06lKFDh/Loo48yefJk5s6dC0hnLf369aNfv3489dRTdO3alWvXrhXZe05gYCBLly4lMTHR9nCxc+dOtFptnm79/f39MRgM7N69G19fX0Aulj158iRt2rQpUtsHDx60vTFVKBTFxAM4HqixQI0FJcXDJXTcakLzxVBnFpz4CE4vgusHYWc/cPaHwFeh8mDQ5XYoUK10tWz707ZM4/P9n/PZvs9Y2G0hLX2yep3TkF3kRAJXgPrFf00PAy1awN9/S09tb78Nf/2F269/MnWlhjeefoqLT3XmdDkjoXbxnI09x9kbZ23patLVbEJoZUhmtZ6O0KEyPB5goFMV8HJOAdaD/XooD2YvTwQdMGrnQ2J1iA6DGCl8uBaEkzGWtjU20rZGppvH89d82HO6KXvPNGX5J015dUIj3Eq70KFDpmVeMcS/vW/w9/dn5cqV7Nq1Cw8PDz766CMuX7581we3sWPH8uKLL9K4cWNatmzJ8uXLOXLkCFWqVLnpuTk99oAcUEaOHMnkyZMpVaoUvr6+fPDBByQlJTFs2DAApk2bRqNGjahVqxapqan89ddftuueP38+3t7e1K9fH61Wy4oVKyhXrhzu7u5FvraBAwcyffp0hgwZwowZM7h69Spjx45l0KBBebr9d3Z2ZtiwYUyePJnSpUvj5eXFlClT0N5kGnLBggVUqlSJWrVqYTKZ+OGHH1i5ciUrV64scp8VCsXDhRoL1FhQUjxcQicDJx9oNB9qTYGTn8LJTyDhNOwdDkenQ/VXoNpLYHDNt4qA0gG42rkSFBlEq29bMaDOAN7v+D4VXSvmKHkOaA/EATuAgm0fFQXQtCn8+ScEBUnB8/vv6H9Zgd8vK/ADOjg7Q/XqUKMG1HgCqlcnqaov58oYCU+JzCaAMtLy41dZftwMQE1P6FwVOlWBtpXAyRgNLJfJGcLNroRZq3HDoQmGiiMJ0OnwSYvEMe4omph9EHscn1Ln8Wl6nqeayn94q1VD8MVA9p5pyq7vmrFgelNS7WvToyc8/TSYzWD/AFs4Tp06lfDwcLp06YKjoyPDhw+nV69exN4VV3aZDBw4kLCwMCZNmkRKSgp9+/Zl6NCh7N2796bnPvPMM7nywsPDee+997BarQwaNIj4+HgaN27MunXr8PDwAKR5wRtvvMHZs2dxcHDg0Ucf5eeffwbkAPP+++9z6tQpdDodTZo0Ye3atTcdYPLC0dGRdevWMW7cOJo0aYKjoyN9+vTho48+yvecDz/8kISEBJ544glcXFyYOHHiTb8Tk8nEpEmTuHjxIg4ODtSqVYs1a9bQvXv3IvdZoVA8XKixQI0FJYVGFKeR3h0iLi4ONzc3YmNjswUnKjbMCXDmf3BiHiRdkHkGd6gxAepMzfe0KwlXeGvzW3xz8BsEAkeDI28+8iYTW07EXp/x9BqPFDr7AV9gJ3INj+K2OXQI5s6FffvgzBmw5BPDSKORwXJq1JDJJoZqkOjuxLm4iFwC6GJcGGWdTtO0Yiydq0Cj8tmrTDbDtnOw/gzsOu9EcloVarr50NLJnvoGE1VFDGWSwzGm5o7FlGyy52B0V3TNJlGqVBXQe2DvaIeLiwYXF7hHXdE/cHTq1Ily5crx/fffl3RXFFlISUkhPDycypUrY5/jLcCFCxfw8fG5c2OBQnGXKejvXXF3UGPBvUtB/x+F1QZK6GTFYoKzP0LI+xAXCv7DoelXNz0t6FIQL//zMrvO7wKgsntl5nWeR68avdLX9FxFxtoJBWoC24HSd+46HkZMJil2QkPhxAmZQkMhJKTgQDhubnkKIKpWBaORRFMi52LPcSn+EEJsxMN+H1VKnaGUQ3K2ai7FS9Gz/gxsDIOrSTLfSwdtXRxo7+pCEztBdWJxxESK0Y/wSl9SuYIn9kYwW/UkpTqRmOqEReOE3s4RJxcDzs634NhAkYukpCS+/PJLunTpgk6nY9myZcyaNYsNGzbQsWPHku6eIgtK6CgeJpTQubuoseD+QgmdO4WwwoXfwaMeOKfbbV47KNf1BL4G7rVznyIEy44t49UNr3Ix/iIA7Su35+OuH1O7bG0gAmgJXASaARuBgtxUK4oFISAqKrcAOnECwsPzD5Cm00GVKrkFUPXq4FkaCAbWk2b9G61mO1pNSrbTT0Q7suEMrD6RxM7zYEqfbNIA/gbo4uHHs42+xL+iJx52eUfuTU0zkGhyIk04ozU64+DsgKOT7uaODRS5SE5OpkePHhw4cIDU1FSqV6/OW2+9Re/evUu6a4ocKKGjeJhQQufuosaC+wsldO4mO56BiOXg1x9a/ZRvsQRTAu/teI+5u+aSaklFp9ExsvFIZrabSSmHy8iZnWtAZ+BPwHh3+q/ITUoKnD6dWwCdOFGwa8/SpXMIoCpQPQGqHAf9RuBgtuJWYU90Um1Oxfix54Ibey7Fk5ycwpiAMZTyLoVGDw4acNKCU/qnQx5iRgDJFj0mqz1C64y9oxv2jo5o8vEWqFDcjyiho3iYUEJHocgfJXTuJteC4Ph7UHsqeKQHo4o/A3EnoHz3XP6Dw6+HM2nDJFaFrALgx94/MqDOAGAP0AFIBPoBPyJj7ijuGYSAyMi8BVBERP7nGQzg7w/VK0ENPdS4BtVPQI0YcM9asDwpKX0JDx+Ir18AWoMBk8VEqiVVfqalkmZJRW9NxQ6LTQAZ8xE/KVYdZuzQGByxs3fFYHRT4kdx36KEjuJhQgkdhSJ/ikPoPJxe126FUo3g0RXZ846/C2HfgnsdGYvHty9o5S2t7FGZlX1XsilsEz8d/Yn+tfunn9SMuJQluNoPQHr0KgV8hjRqUtwTaDRQvrxM7dtnP5aYCKdO5RZBoaGQnCzXBIWE5K7TywWq66FGHNS4BLVWg3cXdBqwNzjiYHAFXAFPshqyWawWTBYTyRYTcWmJmFMS0FpTsNeYcdQIDBpw0FpwIAksSZAYjUiEFKHFrDGA3hGtwRmjnTuGPNymKxQKhUKhUDyoPFxC5+RJ+ZDapQvoi+HSHcqB3hluHIVdA+HwWxA4GSoPBb0DAB2qdKBDlQ62U+JS46j+2VhebdmI8c33oNF8gYxWOfP2+6O48zg5Qf36MmXFaoULF3LPAIWGwsWLcCVehlL6N728H/AlYALsk9LTZbDXgL0T2LuBzh2d1h4HrQMOBgfAzbasSwiBKc3E1cR4zCnxaEUS9rpUHLVWjBqw11ixJxXSUiHtOiL5PMlCg1mjx6K1R2twxmB0xU7viE7N/igUCoVCoXgAebiEzuefw8cfQ9myMHAgDB4M9eoVImx9PtSbDTUnwcnPIPRjSAyHfaPg6AyoPh6qjQSje7ZTNodvJioxii/2uzC22cfoNS8Ds5Be2F6+rctTlCBaLfj6ytS5c/Zj8fFS8GQVQLGx8u9OAMnpCZAZCTIZLqYLHzspfhzcwMEFDAY0Gg12BjvKuNshZ4Gk1kpIsBKVkIglLRaDJgFHQyqOejNGDThoBA6YwWqG1HhEaiQpAlLQYtHagc4JncEFB6MTdjq7dI+BCoVCoVAoFPcnD5fQKVUKypSRXrjmz5epTh0peAYMkKZKRcXoAbXfkjF3znwLIR9CUgQcfhOC35Nip/p4OfsD9KrRi4MvHSQ+NR69thVwA5jGjZQFuNm9hEajzIseOFxcoHFjmTJISYGwMKhYUa4JSkmBlGRISZLbZiuYAbOA+BQgBYiR5xo14GQERwdwcgZHN9Dbo9VqcHXV4urqArhgsUifClHxkJSYgkZzA0f7eJwMKTgaTBg1AgcNOGAFkQxpyYi0aFKS4JoAs8aI0Dmg1Tunm9c5YNAalABSKBQKhUJxX/DwOSMwm2HdOvjuO/j9dxl/BeQb+U6dpOjp1QscHW+tfqsZzv0Mwe9D7PH0uu2gylCoORlcquY4QbAl/GmeXL6Sul6P8nHXj2ng3eAWL05xv3DTBahpaenC5wakJKQLIYvUO3lhBzjpwdEITo7g6AI6x/QDWluVCQkQFycnmdJMJhzt43F0iMPJLhFHvQmj1pqragGkCEiyZsz+2KMxOGGvl+LHQe+gzN8UxYZyRqB4mFDOCBSK/CkOZwQPVSjCQ4dg0WIDNx55HH75BS5fhq++glatpN3PunXSpM3LC55/HrZulflFQWuAyoOg+xFo/Qd4tgBrKpz+CnY/l8cJGg5dboXJ4sD2iO00WtSIV/4ZwtXEq8VwxYr7Fr0enF3A0wcq1gT/BlC7PjSoBtW9oKILeBjALn12JRW4lgYXkiA0Gg6Gw7HjEH4ArhyChBPotRG4u1/F1zeeWrXMBNY2UtqrNGmaylyIqc2Rcw05HFGPU1f8uRhblhupTpiEFg3S3XVpHVTQWfHVJFEx7SrOyedIvXGCS1cPcibqMGdiTnIx7iLXkq+RbE7GKvL+32nbti3jx4+37VeqVIkFCxYUeDs0Gg2//fbbbd/W4qrnYeFufjcKheLhQo0F9w/381jwUAmdzz6Dl14Cb2945hn4e7cHac8Phx07pJOC6dOhcmX52nvxYmjXLm8PWoVBo4WKPaDTTuj4L3h3g8BXM4+brsOVbSAEr7R4hRNjTtCvVj/GNhO81fo7nlhWhQW7F2C2mIvn4hUPAHrQuYGLD5SrDlXrQZ1GUL8uBPhBhVLgbg/G9H/rDGu382lwIgEORMHxc3A2FKIOYzAdpJR7CH5+Z6ld+zL169/Ar7IFg6MbMQm+nL5UkyNnG3Iooh6nLlej09Nv0O7JlzELfTbx46OHqANB+HtWJ2LfFkRCGNHXjnP6ykFORB0n7HoYkfGR3Ei5QWpaaq6r2rdvH8OHDy/WOzVjxgzq53QYAURGRtKtW7dibSsnS5Yswd3d/Y62UVjatm2LRqPJldLS0u5aH2bMmJGr/XLlyt219hUKRfHSo0cPOnbsmOex//77D41Gw4EDB4pcrxoL7hwP81jwUK3RadAAatWC48dh+XKZvL3h2WdhyBB/as2YIcXOzp2wdKkMJlmrVmYFb78Nnp7Qvz8U9o9Xo4Gyj8qUldBP4eg0qDoMmv0PXzdffn7qe2JTjuNmf4xOVRN4Zd0rLApaxIKuC+hctXPe9SsUeiO4lpEpA7NZusJOiofEBEhKAbMlh+MDC2gSwSERnEDvBO6O4O6nAY0dFos9qan2JCTYc+OGA90eH8GkSU/zz38e+FQsj7N9Eu4uiTjZJfLNT39Rv04ALerXAKC0FjI8LaRYkklMg/gkuCIg0ZTAteRrnLtxTpq+uTpgNNydwLkP4wP2iy++yKxZs7Ll6YvD62QRqFWrFhs3brTt63TK1FGhuF8ZNmwYvXv35ty5c/j5+WU79u2331K/fn0aNmxY5HrLlClz80LFhBoLJA/DWPBQzeiMGgVHj8K+fTBmjAxwHxkJH34ItWvLteKffKohusYj8PXXsHlz5slxcTBnjqzk5Mnb74w1Ra7d8cryVsRixc24Cav1cyq6fomnoych0SF0+aELPX/uyZlrZ26/XcXDgcEgxXh5H6hWE+rWh7p1oWpVqe5dXUCvk1okCbgKnAWCgYMCTqSgu3gDx+TLlHU5S0C1EF5+uQJly5Ziz565VPS5hNEphWtJThwJ8+TnVRvp9tgojp0vzdMvvkPFuo/j6PModR59htWr1lFaK2d+qhvASSNwxYyL+SqpCRHU8K/O62+/yuHLhzkZc5LtB7fT4pEW2NvbUzOwJuvWrct1ea+99hoBAQE4OjpSpUoVpk6ditksZz+XLFnCzJkzOXz4sO2t0ZIlS4DcU+tHjx6lffv2ODg4ULp0aYYPH05CQoLt+NChQ+nVqxdz587F29ub0qVLM3r0aFtbt0JERAQ9e/bE2dkZV1dX+vbty5UrV2zHDx8+TLt27XBxccHV1ZVGjRqxf/9+AM6dO0ePHj3w8PDAycmJWrVqsXbt2gLbc3R0pFy5ctlSBitXrqRWrVrY2dlRqVIl5s2bV2Bdp06donXr1tjb2xMYGMiGDRsKdc16vT5b+3fzgUahUBQvjz/+OGXLlrX9rmaQlJTE8uXLGTZsGDExMfTv35+KFSvi6OhInTp1WLZsWYH15jSPKszvjRoL1Fhw0zbveAv3GBpNpgOsefNgzRo5ebNmDQQFyTRxIjz2GAwZoqF7dzAa0098911p5takSWaFr70GSUnSiUHjxoV3VV1vNgS8DHalM/NOfQ4n5qOtOYnh9YbxdGBf3vl3Kt8e/II/Qv/gn9P/MKH5BN589E1c7FyK9b4o7hESE4t+jp1dZlyotDRITZXONRwcMsskJclPo1Emd3fp7c1gSJ/5Scr8tFhsHq5taEHvpGdwr+78+P0q3p4yGM/SGtDA0qV/kZaWyugxTbh+/RI1a9dl8HOv4ODgyc4d6xk0ajK+/vVp2aQ6pMl+6DVQSiuTQQMV9VBdbyYhLZUnBjyHWyl3lv7xDbEJiYybNA6A87HnORVzCqPOCEb4+MuP8angQ2hIKKNHjMbFxYVXX32Vfv36cezYMf755x/bmyM3N7dcty0pKYmuXbvSvHlz9u3bR1RUFC+88AJjxozJNoBv2bIFb29vtmzZwunTp+nXrx/169fnxRdfLPJXJYSgV69eODk5sW3bNtLS0hg1ahT9+vVj69atAAwcOJAGDRrwxRdfoNPpOHToEAaDAYDRo0djMpn4999/cXJyIjg4GGdn5yL3AyAoKIi+ffsyY8YM+vXrx65duxg1ahSlS5dm6NChucpbrVZ69+6Np6cnu3fvJi4uLpt9fUGcOnWK8uXLY2dnR7NmzXj33XepUqXKLfVboXhouFPjQV71OjkVugm9Xs/gwYNZsmQJ06ZNs3niXLFiBSaTiYEDB5KUlESjRo147bXXcHV1Zc2aNQwaNIgqVarQrFmzm7ZR2N8bFxcXlixZQvny5Tl69CgvvviiGguKyAM/Foj7gNjYWAGI2NjYO9ZGVJQQH38sRMOGQsgnQJlOnSrgpKQkIVxdMwvXqCHEu+8KERFR9A5YrUL83UiIH5Hp19JCHJkiREobkZDaRHT/ob1gBoIZiHf/ffeWr1Nxb5CcnCyCg4NFcnJy9gNZ//gKm375JfP8X36ReW3aZK/X0zPvc3NitQqRnCxEdLT8Ow4JESIoSIh9+4TYt0+ErFghALH5iy+EOLBfiNAg0bpZA9G/TxchUvcJYd0nhMieunZ9VIwZ87y4evWcuHr1inikVSsxdtRLQiRdEiLutPDzKS/mv/OKENH7xLoVnwidTifOH/lLiOh9whS9T6z8+WMBiK8WfyiCL+0TBy7uE/typJffelnUrFtTHI86Lk7FnBLjXhsnAusEiujEaBGXEidSzCnCYrUIQKxevVoIIcSiRYuEh4eHSEhIsF3+mjVrhFarFZcvXxZCCDFkyBDh5+cn0tLSbGWefvpp0a9fv3y/22+/XSzc3NyE2SxEaqq8nYmJQsTFCbF69Xqh0+nE4cMRIipKiMuXhdi+/bgAxM6de4XVKoSLi4tYsmRJnnXXqVNHzJgxI9+2c9KmTRthMBiEk5OTLU2YMEEIIcSAAQNEp06dspWfPHmyCAwMtO37+fmJ+fPnCyGEWLdunfxuzp+3Hf/777+z3dO8WLt2rfj111/FkSNHxIYNG0SbNm2El5eXiI6OzrN8vv8bQojz58/f8bFAobibFPT3flfHgyISEhIix4LNm215rVu3Fv3798/3nO7du4uJEyfa9tu0aSPGjRtn2y+O35sPPvhANGrUyLY/ffp0Ua9evVzl7sZYsHixHAvyYv16ORZEZHlePH5cjgV79+4VQqixQIiC/z8Kqw0euhmd/ChTBl5+WaZjx+Qsz9mz4O+fWWbSJBlr9Pnn5VIdjEbpve2772D1ahkI8s03YcoU6chg8GDo0wcKo7I1Gui4HcKXylg8CWFwdDaEgJM//NWrM39dWMVHuxcyrvk422kpaSnY65VLSkUxodGAvb1MpdNnGzPi/CQmUqNMGVo2aMC3f/xBu8aNORN8nu17D7F+0CdwBCwawXs/fsfyv9dx8UoUqSYTqakmXFzs8PSMAkCnT0ZriMVijCRN64DQaLDau4GLNyFno/H18aaijy9YUjEAHZrWBaCsDmqmL+VZ/sdmFny1jDNh50lMTCLNYsHJ2Ykkc5ItmS1mwm+E57pEOTN0mt0H91CjVk3i0lJIjLWiw0itWi2wWq3s2RNK8+ZeJCdD1aq1uHRJh9UqnTA6OnoTGnqU0FBseVarnAizWuXvhsUivTzmZMeOELy8fDCZfDh3TubZ2wfi4uLOhg0h2Ns3YdCgCbzwwgv873/f065dR55++mkCA6ui08HLL7/MyJEjWb9+PR07dqRPnz7UrVu3wK904MCBTJkyxbafsTg2JCSEnj17ZivbqlUrFixYgMViyWU7HRISgq+vLxUrVrTltWjRosC2gWwLfuvUqUOLFi2oWrUqS5cuZcKECTc9X6FQ3HvUqFGDli1b8u2339KuXTvOnDnD9u3bWb9+PQAWi4X33nuP5cuXc/HiRVJTU0lNTcWpkDNHhf29+fXXX1mwYAGnT58mISGBtLS0IrueDwkJoV69etn61qpVK6xWK6GhoXh5eQFyfUnW30Vvb2+OHj1apLaytunj44OPj48tLzAwEHd3d0JCQmjSpAkTJsix4Pvvv6djRzkWVK0qQ5SosaDwKKGTB7Vry3U7WYmOhoUL5Rrv7t3ThY5OB126yBQXB7/+KkXPtm1yfc/mzXJNT58+UvS0ayfPyQ+9A1QbAVVfgIhfZcDRG4fhBGhOrqdHpXB6PPkHGGSMH4vVwqOLH6V22dp80PEDyjjdf3bvVxOvcuraKWJTYolLjSM2NTb7ds79lFhc7Fw4+NJBWx2vbniVS/GXmNBiAg29i74A8p4iIeHmZXJilyXI7JNPyjq0OZbfnT17633SaKTZg4MDeHoybMwYxowZw2cVKrD4p5/wq1CBDm3bQkoK85Z+x/zvvmfBhAnU8ffHycGB8fPnY7puJe28MxZ7gbBqEQJ0Ois6XSIajRWtLhaMkQh9HGisCDcQVmdEmg6LSf7PWDR2WDUG9u47wMAX32Tma8Pp8s4ruLk68/Pq9cz7/EfqGAykWg24YkSPDkeLE8mkIbQm0MiQYamWVGJTb5BsTsJsNXExMVMMJSTL+38l9RwR8adJNCdi0Vi4EhcDFiNYjKSmgslkJT6+cLdOq81Mer1ID+yamWexAAg0Gg1WKzz33Azatx/Azp1rWL/+b957bzqzZ/9M585P8sgjL7BtWxe2b1/Djh3rmTNnDnPnzuPll8fm2wc3Nzf8s76xSUcIkSv4qyggrFpex24leKyTkxN16tTh1KlTRT5XoXiouBfHgywMGzZMjgWffcbixYvx8/OjQ4cOAMybN4/58+ezYMEC6tSpg5OTE+PHj8eUEbvwJhTm92b37t0888wzzJw5ky5duuDm5sbPP/980/UlebWV329Z1vwMs7Gsx6xFDUFykzaz5s+YMYMBAwawZs0a/v77b6ZPn87PP//Mk08+yQsvvECXLl1Ys2YN69fLsWDevHmMHavGgpwooVNIHByke+q9e6UQymDkSPmgMmSIKy2fex7N88/LH5EffpCi59Qp+P57mSpUgEGDYPbs3D88WdHqodIz4NcPItdB8CSIOg5hpyCsJvj0gcDX2R6fwP5L+zkVc4r3O75/x+8BgMliyl+U5Nh2s3fjg04f2M5tv7Q9QZFB/PHMH7Sp1AaAFcErGL12dJH64GqX+bbGYrXw3eHvuJJ4hcH1BtvyoxKjMOqMuNu7394F322KYCedJ3p9pn12cdabhb59+zJu3Dh++v13lq5YwYsvvoimVi2wWtn+1lv07N6dZwcNgqQkrImJnDp3jpqVK6O/koAe0CRaIUaHOdQVk96A1aIlMd6JhAQnqlf3JyLiCpGRFyhfvgzoYN+R/wDQOaeiLWVm59HD+Pl6M+m1EYg0DVqr4Oz57wCw05qx05op5SDQCTOBjolYhYYUsz3JZjnz6ZjigTG+PJV967NmxVpSbuhwcNEjtCYO7zuMVqvFN6AsONwAfTLoU8Ajy8yQUxQauwTsKgSj1xoxaI0YtUYMeiN2OgPlD5rR6aBhw9z/5h06BDJ3bgQODudtb/KCg4OJj4+la9ea1KolTeorVgygUaMAhg9/hVde6c+ffy6mXbsnMZvBaPShQ4cRdOgwgtKl3+CTT76mXbux2NvLZ5yMCbmbxR4MDAxkx44d2fJ27dpFQEBAnp5wAgMDiYiI4NKlS5QvXx6QrmSLSmpqKiEhITz66KM3L6xQPMzc4+OBbSz46SeWLl0qx4L0B97t27fTs2dPnn32WUCu6zh16hQ1a9YsVN2F+b3ZuXMnfn5+2WYpzmVMladjNBqxyLdJBba1dOlSEhMTbbM6O3fuRKvVEhAQUKj+FpWM6zt/PvtYEBsbm+0eBQQEEBAQwCuvvEL//v1ZvHgxTz75JAA+Pj6MGDGCESNG8MYbb/D1118XKHQK6suDPBYooVNInJzgxRdlyiA2FpYskVY9X38tzdwGD4ZBgypR6a23pAnbnj1S8Pz8M1y8KJ0ZZH36iY8Hl3wcC2g0UL6rTFenQPC7cBE4vxLOr6St3wB2D9vNudhzlHUqaztt94XdNKvQLJvCFkKQYErIU5Q46B3oUb2Hrewr/7zCudhzfNDpA/xLSfW/YPcC3tj0BilpKYW+Z75uvtmETqI50dZmBl5OXlTxqIKbnRtu9m642rnKbbv0bfvs2652rtnEi0ajYVW/VfwR+gdtK7W15X+w8wMW7llIhyod6F2jNz1r9Mx2jxS3jrOzM/369ePNN98kNjY2c7GiVot/jRqsXLmSXZGReHh48NGiRVy+cYOaDg5QqpRtEazGYsEQH4cB0FqsOF1PxOGMhUfKd6Zqpar07TOH6W9MJSX1BtPeWQSAOcmANUWLf2UfIs5Hsvqvv2jSJJA1a3fw299bQQO4AmngV8Wb8IhLHDwWio+3Fy7OjpR2kn61y7tcp67nJao+14rFnxtZ8OabzHjrNaKuJbBwxsf0H9ifZtWbYbKYcDA4kKpLxcXogsliwmSRbyMFglSRRKolCTLG0PQQQZcSLmBOM7Ni83IMWgN6nR6D1oCjgyMNWzWkdp3a9B/QnwULFmC1WBk1ahRt2rShadPGJCcn89Zbk3nqqaeoXLkyMTEXOHVqH08+2YeaNWHixPG0bt2NChUCuHr1Ovv3b6ZSpZqkpkqBlJOEBIiJgTNnyCWEJk6cSJMmTXj77bfp168f//33H59++imff/55nt97x44dqV69OoMHD2bevHnExcVle8DIj0mTJtGjRw98fX2JiorinXfeIS4ujiFDhtz8j02hUNyz5DsWAP7+/nIs2LVLjgUffcTly5cLLXQK83vj7+9PREQEP//8M02aNGHNmjWsXr06W5lKlSoRHh7OoUOHqFixIi4uLthlnfVCmnRNnz6dIUOGMGPGDK5evcrYsWMZNGiQzWztVrFYLBzKYcdsNBrp2LEjdevWZeDAgSxYsMDmjKBNmzY0bizHgsmTM8eCCxcusG/fPvr06QPA+PHj6datGwEBAVy/fp3NmzcX+t7m5EEfC5TQuQ1cXGDtWrme59dfZdidadNkattWem176qnmOH/eHObPl67dsq7XuXoV/PygY0cZ1CerV5SclJkNbdzhxqvSBfA5LbjXoVnFZjSr2AyEFYTg7zPr6f5Td+qUrQNgExZxqXH5Rqqv61U3m9BZe3otJ2NOMr75eJvQMWgN2USOk8EplwjJKVC8nLL/QHz/5PcAVHTNtOvsE9iHPoF9CnG380ar0dLSpyUtfVpmyw+JDsFsNfPP6X/45/Q/jFgzgkd9H6V3zd48WeNJfNx88qlRURiGDRvGN998Q+fOnfH19bXlT506lfDwcLp06YKjoyPDhw+nV69exMbGQoZnFWdn8PCQM5xJSTZPhTpzCi6k8Of77zLsnXd4/KnHqOTtzcJJk+j68ssYLpnRHrPS068Nr/QfwJhRH5BqNvNYq1ZMHfo8MxZ9DccADTxVtz2rW2yhfY+R3IiPZ/E70xjaK/1v/AZwBZywY92XCxk3Zx5NHumKo709fbq046MJL+F8KQK0epxMFswWDdXTXEGrQxg0lNW5cFFjR01dOczCglmkkSbSMFvTMIk0jBYNSYlJPNPpmWz3zLuiN3/u/oN3vnqHD6d+SOvWrdFqtTza/lFmz51NTFIMBmEgJiaGwYMHc+XKFTw9Penduzdvvz0Te3swGCxMmzaaCxcu4OrqSteuXXn//fk4O8sXLhkpQ/gIIR0vXb+e+zvU6xvy0Ue/8Nln03j77bfx8vLmrbdmMXjw0Dy/c61Wy+rVqxk2bBhNmzalUqVKLFy4kK5duxb4t3LhwgX69+9PdHQ0ZcqUoXnz5uzevTtX/A2FQnH/cUtjQSEozO9Nz549eeWVVxgzZgypqak89thjTJ06lRkzZtjK9OnTh1WrVtGuXTtu3LjB4sWLc3kSc3R0ZN26dYwbN44mTZrg6OhInz59+Oijj27r3gAkJCTQoEGDbHl+fn6cPXuW3377jbFjx9rGgq5du/LJJ58AMr5MXmPBzJkzASmgRo/OPhbMnz//lvrYsGFDfvnlF6ZNk2OBt7c3s2bNytPjGtx/Y4FGFGSId48QFxeHm5sbsbGxRV5kdrdISIBVq6To2bJFPmAAODrKJTpDhsglOtlMWZYtgwEDoFEjSPeNDsg4PdWq5eOq+jXgA0jUgPEHMAyQ2edXw+E3+Me+GU/8twyzNW/f7jqNLvvMib0b1UpV439P/M9WZumhpSSZk3ii+hNUcK0AwPXk68SmxuJm54aLnQt67b2vkU9En2BVyCpWhawiKDIo27Em5ZvQp2YfetfsTbXS1e5631JSUggPD6dy5crY38zG6GHAbM7u4jolJbc/Ias1c/s+RwBCA1bAogWTLjOZ9Rq0dvbo7R0xOjjjaO+Cnc6uyDbQQmQKnpwi6GZm8kZj5sxP1lkgo7HwHvRvlYL+Ny5cuICPj889PRYoFEVBjQUKRf4U9P9RWG2ghM4dICJCLslZulQu0cnAxweGDoWZM7M8LISEyNetLdNnJG7cgHLloGJFaQf37LOZb8IB+Yj0AvAtYAf8A7SFzZ3h8gao9SZn/V7kQOQBXPV2uNh74OZQyjbT4mhwvKVFY/c7526cY/WJ1awMWcnOiJ0IMv/sa5etTe8avRneaLhN2N1p1OB2G2T8ZGUVPvkJonyPpYEwy0+rGYQlPS8t3X2akCZp1iwJ0hVKHttoMtWLbTtLH2+DNA2Y9WDR68FoQGvvgN7eCYO9Ixo7OxkLqYj/0xZLdgGUdbsgc3aNJrvwybqt1xePCFJCR/EwocYChSJ/lNC5xxECdu+Wgufnn+Wans6dIWug98TEHOsCt22T0UqzBvR69FEpep5+GtzcgDTgaeA3wAXYBmZ/OL0IKg8C+/S1KGe+gQOToGxr8GoLZduCe13QFuD57SHgcsJlfj/xO6tOrGJz+GbSrGkAHB15lNplpaeJDO9uWk0BTiNuAzW43etYAFNmsqaAJRksqWAxg8WaKYTyQgPoAJ0GdHrQGkFrDxp7EIb0pAehk7ZlJhOYTAhTKtaUFIQpFY3JjM56859nAVgNejRGIxo7ezQZQWHt7DIDxBbk7TFrXSIzxmDOWaCMSbb80Olyi5+M/UI2Dyiho3i4UGOBQpE/SujcR6SkwB9/yDg8bdvKvAsXICAAevSQTtpsngsTE2Vcnu++g40bM58u7O2hZ08pejq3Bn0PYCtQEziKfLLKwu7nIWxx9jyDuxI+WbiefJ0/T/7JrvO7+OKxL2yzXf1X9mf7ue182v1TetXoVeztqsHtfkcAZrAmgSUB0rKKIEuWmZ4c2AQQ2YUQGjkdotEA2vRPDVhAmATWVCsi1YI11QImKxqTQGsGrVlWeVN0WjDqsySDTHbpnwYDaLTpHcw7CaHBZNKQkqIhNVWTaz1QQRgM8ufLyUlOVheEEjqKhwk1FigU+VMcQufeX2jxgGBvD337Zs9bswaSkyEyMovIAc5FO+H37LPSbO3CBfjxRyl6goOl04Lly8HLCwY8BYOtUO9z0OQhVpouAv8RELUVrmyFq9vBfAMu/iETPPTCx8PBg8H1BmdzTW0VVraf287F+IuUcy5nyz9y5QjnY8/TsUpH7PR2eVWneGjQAMb0mRp3yBpeQQiwmsCSKEWQbSbIJAVQWnqShYE81tNl0RgapB7CIT1l1R8gZ5bM6XWacyRT+nGLFZJNMuWHMY9kl7mt0cnZGemwKLcIypqsVg0Wi/y0WjPzLRYHQDkCUSgUCsXdQc3olCBCyOjpqanQvLnMu3oVypeXsXqGDJG+CsqWTS984IAUPD/9JCOYZjByJNjcAAryfcdrTYNrB7ILn7QcAcmqjYQm6XVleGm7Q+Zb9zKpaalsObuFzlU728zXhv85nK8PfI2L0YXHAx6nd83edPXvirPR+Sa15Ua9xXsIEQKsqemzP8lgSZKfVjNwB50sZBVX6Unk2C/crBBS0GWkvIRRThGWo+K0NCf0+oJdoKoZHcXDhBoLFIr8UTM69zkaDeTwOsiePTL/0CGZJk+Gbt2kq+rHH2+E3ceNYO5c+OcfKXr++EOu4QFgC1yaCduGwBN9cwcF0+rBs6lMga/mLXw8s7hpvhYEW7pAhSegxZI7dRvuSez0dnT1z+4q0dvZmwouFbgYf5Flx5ax7Ngy7PX2dKnahd41e9MjoAceDh5Fauc+eM+gKC40GtDZy0QefyfCmv5ywZq5nXO/oGPCkqusEFaE1QJGKxisZLyyyCVsLOQSQ9mSNb2MBSgolJY+Z9KAQZP+qUVv1MJN3guo/wnFw4j6u1coclMc/xdqRuceJCZGOi9YuhT27cvML1UKnnlGzvQ0aZJuxn/9uoy/Yy+AKvDeZXgDGDcOFiyQJ0ZGQqtW0td1QcnBXiZnV7kfeAkiZkqhU+0LuHRJmsxdmglutaFsG3CtDXpD7ot4QLEKK/su7mNlyEpWhqwk7HqY7Zheq6d95fa2AKVZzd5yYjabOX36NOXLl8fNze1udF2hACGwijRSzEm2lJqWjNmSQvrqIJk08lOv0WKn02NEj9GqQZ8GmjQrGrMFzFZIs4JZQFohhxF7LdRuWGCR2NhYLl26hL+/PwZD9t8WNaOjeNCwWCycPHmSsmXLUrp06ZLujkJxTxETE0NUVBQBAQHocni1Uc4IHhBCQqTg+f57qTMyqFlT+iQYNEjGXZT8B1+Oh/evwICBMHsmEAunrkmvB0Vl726orJGma//bBK+/DgOfgu6/yuMpwDDAqJUCydEZnN1uIqYc4IUXoHp1Wcfp01LNVaoELVpktn3qlFzYlHGevf2dD+BRRIQQHI06yqqQVawMWcmxqGO2Yxo0tPJtxcddP6ahd+4HOyEEERERmM1mypcvj1b78JkHKu4drMJKijmFlLQUktOSSU5LJjUtNZsb9gx0Gh32enscDA446GUy6AxozGYZD8lkkp9mM5gzttOkq20nB6hcNf9+WK1cunQJg8GAr69vLlf4SugoHkQiIyO5ceMGZcuWxdHx4QwBoVBkRQhBUlISUVFRuLu74+3tnauMEjoPGBYLbNokRc/q1dKJAchn/xkzYNq0LIWFkA8bdkeBJpDsB4f9IakqJFWCJG9IQgZmLCh9/DFkRKxduBDmzYOnnoBhPtLU7cy/8GIiRWbjRujQQW5/9RWMGAFPPikjrmZgMEg/t1nJKpayiid/f+nKrmtXGYOohDgZc5LVIatZdWIVey/uBSB8XDiV3CsBcPjyYez0dtTwrAGAyWQiPDwcqzU/H8UKRckhhMBkNWFKM2GyZKa80Gq0GHVG7PR2GHVGjDpj7qDCGTGFbuJrWqvVUrlyZYxGY65jSugoHkSEEFy+fJkbN26UdFcUinsKd3d3ypUrl6f4V0LnASYuDlaskKJn+3b47TfpdRqkk7awMHjkEdBqfwAG5VGDBqgONAaapH/WBxyL1pE0E5zZChe2woUdcHk/JCVLT0+ppHt8cgRjVSj3NKRapIAaMSIzCOpvv8Enn8h1RjNmyDyzWXpgSEq6eQj3rPzwAwwcKLejoqQazBBqd5nzsefZdm4bz9Z91pb3+E+Ps+bUGhZ2XcjYZmMB+QbbVJRrVChKkNS0VE7GnOT41eMcjzrOsavHOBVzyhaLKiulHEpRq2wtapWpRe2ytalVphblnPMesLJiNBrzneFUQkfxIGOxWDCb8/DCqFA8hBgMhlzmalm5o0Ln888/58MPPyQyMpJatWqxYMECHrUtiM/Ojh07eO211zhx4gRJSUn4+fnx0ksv8corrxS6PSV08ufMGfDxkTEBAaZOhXfegenTM3TDDW7cCGL//v1UqbKPcuX24egYkUdNOqAW0Ar4jEL6YcpOfl7dnCpBz/DMcsfngM4B/PqBQ+7pyGykpUnBkjHLlHU7KQni4+HgQdi6Vaq/DDu+99+XpnYvvABff130aylmhBD0/qU3a06u4dCIQwSWCQTgn9P/sOHMBvoE9qF5xeZ3LECpQnGnSElL4eiVo+y/tJ+gyCD2X9rP8avH8xQ/9bzqcWjEoVtuSwkdhUKhUMAd9Lq2fPlyxo8fz+eff06rVq346quv6NatG8HBwfj6+uYq7+TkxJgxY6hbty5OTk7s2LGDl156CScnJ4YPH17U5hU5qJrD3F0IcHGBzDWN7gQHd6BTpw62MmXKRNG48X6aNNnPI4/so0GDfXh6XgGOcOmSgb/+0lC+vLQuc3AYgnST9Cpwk9mR/Ly6pWZxhW21QPAHMp5PmUcyhU5siIw94l4nuztrvV5ekItL/u0+/XTuvMuXpYlMrVqZeeHh8qLatpWpXTupEu8CGo2G1f1WE5sSi6td5j/kkkNLWH58OR/t/ohyzuV4ssaT9K7ZmzZ+bTDoHh4nDw8badY0dBqdbXZDCHHf2uXb6+1pUqEJTSo0seWlpKVw5MoRKX4uBREUGcSxqGP4uuUeIxQKhUKhuFMUeUanWbNmNGzYkC+++MKWV7NmTXr16sWcOXMKVUfv3r1xcnLi+++/L1R5NaNTNDIsvtzd5X5wsHTAFhkpHRpERsKVK9JkXiKoUOEiTZrsQwgNv//eC4CrV1Pw9HQFzMyde5Zly/wYNw4GD/4RCCIxsQl79jTG1dWf8uU1lC0rdUmBpCXDyU8g+j94ZIUURwB7XoAz34DRQ3pzK9tWBjHNKXyKQny8VH4ZfzOLF8Pzz2cvU6VKpvBp2/auCZ8M1pxcw8/Hf+bP0D+JTY215XvYe/BE9SfoXbM3nat2xl6v4ivcr1iF1TZTJ4Sg/Xft2X1hN0dHHsW/lD8A/zvwPz7e8zEdK3ekU9VOtPZrfUvxme5lks3JXE+5TnmX8rdch5rRUSgUCgXcoRkdk8lEUFAQr7/+erb8zp07s2vXrkLVcfDgQXbt2sU777yTb5nU1FRSU1Nt+3FxcUXp5kNPxhr9DAIDYdGi7GUsFrmMRQofDZcuVSQysiKRkdCjhzwmZ4W+A47y33++HDggtQP8CvyGkxO0bw/Xr7sTFNSI775rwqlTTYiMbIxW64O3twZvbxkANfPTgfI1XiWXCb5GB3pnMF2HC7/JBLcnfHLOAj31lHRWsHWrTEFBckFTWBh8+60sU7VqduFTsWLh2rpFHgt4jMcCHsNkMbE5fDOrQlbx24nfuJp0laWHl7L08FKcDE48FvAYT9Z4kmYVmuHn7qdM3O5Rks3JHLlyhAORBzgQeYCgyCC0Gi37h+8H5MxekjmJlLQUDkQesAmdDWEbOBZ1jGNRx1iwZwEGrYEWPi3oVKUTHat0pHH5xrkX999nOBgccDA4FOmcnGNBvPwBUigUCoWiUBRpRufSpUtUqFCBnTt30rJlZmDJd999l6VLlxIaGprvuRUrVuTq1aukpaUxY8YMpk6dmm/ZGTNmMHPmzFz56i1eyREaKj1BBwZC5cqrgC3Ex+/DaDyEnV1qrvJXrpRl//7G7NvXhP37G7NnTzOio8sAMk5QqVKy3BdfSL3Rvz90aGeGawcwX9yK5dJW7OJ3oElLyF5xVuFT8QlwrnzrFxUXBzt3StGzZYvsSE4PaB06SC9xdxGL1cLO8ztZFbKKVSGrOB93Ptvxvwf+bQtmeizqGCFXQ2jg3cD20Ky4OySYEjh0+VA2URNyNQSLsGQrp9PoiH8j3vaQH3QpCFc7V6qWqmoTrNFJ0WwJ38KGsA1sCNvA2Rtns9XhZudGu8rtbMKnWqlq962pW1FQY4FCoVAo8uKOOCPIEDq7du2iRZaYJ7Nnz+b777/nxIkT+Z4bHh5OQkICu3fv5vXXX+fTTz+lf//+eZbNa0ZHmSvcq5iBY1it+0hJ2Q/sw97+KFpt9oe9xYvfZOrU2cTGyu9To9kDNObJJz347Tf47DMYNUqW3b4dWrcGg95Mh/oH6NpwK638t1Lbawf2+kzhE1b2fxiqD8PbG/QJx+DKZijVGMq05JaIi4MdO7LP+AwdCt98I49bLNCsGTRsCB98kGkbeAcRQrD/0n5Whaxi7em1nIg+wckxJ/Fzl+ulpm2Zxtv/vs0LDV7g6yek04VkczLTt06nhmcNanrWpIZnDTwcPO54Xx8Gjkcd590d7xJ0KYiTMSfzjDNTxrEMjco3omG5hjT0bkij8o3wc/MrtDARQhB2PcwmejaHb+ZGyo1sZXzdfJnVdhZD6g8pjsu6Z8k5Fly8eJHAwEA1FigUCsVDzh0xXfP09ESn03H58uVs+VFRUXh5eRV4buXK8s17nTp1uHLlCjNmzMhX6NjZ2WFnZ1eUrilKDAPQAK22AY6OGc4lkoHDgBQ+sJ/nnmvGc8/JCRONZifQHajO88+foGFDkBOEh4CqXL/ugl4P5jQD/+xvxj/7mwGvodeZaVjpAG1rbqVt4FZGL25H+FUZcmdm/w280WUC+PSBMi0JDwd7Oyvlwgagca4MLgHgGiA/7TzzDj7q6grdu8sEEBsLCVlmlA4dkuLn1Ck5FZXBd9/JTrRtK230ihGNRmNb6D2n4xzbIvYMvJ29aV6xOY3LN7blnYw5yYe7PsxWj5eTVzbhU7NMTWp61qSia8WHYmbgVvg1+FeWH19Or+q9GFhXui1Ps6bx09GfbGUquFTIJmoaejekvEv527qnGo2GqqWqUrVUVUY0HoHFaiEoMogNZzawMXwjOyN2EhEbkW3d1tErR/n+yPc8Vu0x2lRqc+sXfY+RcyxQZswKhUKhKApFEjpGo5FGjRqxYcMGnnzySVv+hg0b6JkRyKUQCCGyvaVTPGg4AM3TU3bk2pwkoCrQhB495JogsACPAEk88URNTKYmJCQ05vLlJoSF1ePiRXsuXTIQGdmMk5easW3ba6TZS31hNsPRsEqIik+iKSsf8iZOhL3bLnHhk+W5+pCm9QDXAPTu6eLHtboUQC7+oHfKLOjmJlMG1avDn39menTLYOZMuc4no0zG+p42bYpd+ORcpzGyyUhGNhmZLc/J6MTLTV8mJDqEkOgQLsRd4EriFa4kXmHbuW3ZyxqcqOFZgxqeNVjYbSGlHKRN4f3sBawoXIq/ZDM9OxB5gC8e+wJvF/mdHb1ylF+Df8XZ6GwTOoFlApndfjYNvRvSoFwDvJwLfsFTHOi0OppWaErTCk2Z0noKiaZEtkdsp1mFZrYyf4T+wYe7PuT0tdM2oSOE4PCVw9T1qqvWdCkUCoXioaTIXteWL1/OoEGD+PLLL2nRogWLFi3i66+/5vjx4/j5+fHGG29w8eJFvvvuOwA+++wzfH19qVFDRoPfsWMH48ePZ+zYsQU6JMiK8rr2oJJGpta+ALRI/8yJHqhDZnDTJsiYPwasVhkk9dIlaJ5FV3XvDnt3XGP7dz9Qs8JJiD9J4uVQnMgrhlAmZkNFLK3/wd4r3S114nnp9tqpEmjzCFxlNst4PVu2yBmfnP9ONWpkFz7lyhXY/p0gPjWe0JhQQq6GcCL6hE0Anb522hbrRKfRkTQlCaNOBmR68Y8X+TfiX2a1nUW/2v0A6TLYZDFlc499vyCEICI2IlPUXJaflxOyz07/2f9PHg94HIB9F/ex9exWWvu1plnFZnlVe8+wKWwTPxz9gU5VOjGgzgAATl87TbVPqlHaoTQdqnSweXSr5F6pZDt7GyivawqFQqGAOxhHp1+/fsTExDBr1iwiIyOpXbs2a9euxS89An1kZCQREZkPk1arlTfeeIPw8HD0ej1Vq1blvffe46WXXrqFy1I8WGT986sInAcuk2HuJj/3AdHAwfSU4T7OHqiPVvsjvr5VkCGcziBni3xZu9YNk6kUGs3L0roO2PwnfPpxMmnXT+OuO0l171ACvE8SUE5ul3a5hsF8Ae9q5XDygIAAmNJtPm3LzYcaE6HhXIQAjTkWzv+aPgsUAHPnSlO469flAqOMNT6HDsGJEzJ9+aXsRM2aUvRMngyVb8ORQhFwsXOhcfnG2czbAMwWM2eun+FE9Aki4yNtIgfgaNRRTsaczDYTsDFsIz2W9aC8S/lME7gspnDezt73zCyQVVj5NfjXbLM1MckxucppNVpqeta0mZ3VKpMZdylnbJh7mQ5VOtChSodseSdjTuJidCEmOYZfjv/CL8d/AaCqR1U6VelEp6qdaFepnVq/pVAoFIoHliLP6JQEakbnYUYAEWQXP/uBOECT/pkRb+R5YDEwG3gzPS8UeAEoky0lJ5fh4sUynDlThpCQMhw6VIaL4fGI2FNsOpw5NfTThNH0b/otNPoY/IfTogVUdt7JT889Yitj1buR5hCAoVQAGtfqmWuBzKVh98FM4XP4cOaMT1hYptDZsgWio2UAU0/PYr5/t8al+EsEXw2mnlc9yjhJb3mf7v2UsX+PzfccVztXm/jJKoACSgfc0b5GJ0Wz7vQ6ktOSeaHhC7b88vPKE5kQadvXa/XULls7m5OAul51cTQ45lXtA4HZYmbvxb1sDNvIhrAN7L6wO5tXOK1GS+PyjW3e3FpUbIGd/t5dH6lmdBQKhUIBd8jrWkmhhI4iO1bgNBACZF0bNgpYAbwHDEvP2wR0LGS9rghRlrS0Mhw48AfBwZ7o9TDo2W1gDUNoW+DqWoNArz1smj8dZ+tJSDwLeXjeysCkq4DGPQCDRwBUmgq79kmHBrNmZTpE6NULfv8d3n8fXn1V5iUkQHIylClTyL7fHW6k3OBE9AlpAnc1hBMx8vPM9TNYhTVX+QouFbgwIdMc8ZsD32Cnt6Orf1c8HYsm6swWMyHRIRyIPEANzxo0rygF6X/n/6Plty3xdvbm0sRLtvIT100kyZxkm62pXbb2Pf0QfzeIS41j29ltbAjbwMawjYREh2Q7XqdsHY6MPFJCvbs5SugoFAqFApTQUSjSiQL+Ba6mb1/NJ+V8SE9COlUAeA5YghDvEhHxBqdOQZs2hzEYHgFLaSJPunAx1A7iwJiaiotIoLQhBle7zOCGialOdPkmnoAADQEBMLTaM5QzHoQGH8Ki/VLofPkx1K8O9uVg2TIYOBBq185c49O6tQxApNFkpnuE1LRUTl87nW0N0InoE/i4+vDbM7/ZymXMsuwettu27uWvk3+x4cwGapbJNIdzt3fnWNQxW3yaA5EHOHLlCKkW6cRkTJMxfNL9EwASTYl0+aELDb0bMrfz3GwmeIqCuRB3gY1hG22pV41efPm4NLM0W8zU/qI2Tco34ZNun9wTJm5K6CgUCoUClNBRKIqAFbhOpuiJAXplOf4hsA4YDWR4G9wAdC64WhPSsi5ebif5OODvf5rIyPKEf1abSu7HoW1vKD+GPn3a0aPOTwwNGAh6Z/jNGZZdLrh+yBQ8Wi088og0g8ugShWIioLdu6VgAvjwQ5gzR5bPKpiy7uc85u+fPWjqE0/AyZOweDFkxNNasQLeeafAeoUGztw4S5IlmcAytdB7lIK//mLs2rF8uu9TPlgP9S/D7Efh38oaBILK16DXCbjiDFFOkOjhRLmq9ejQpB+jW7x88/ujKDRCCBLNiTgbpSnorvO7aPVtK0o5lCJqUhS6dGccPx39CRejC20rtcXFzuWu9lEJHYVCoVDAHXRGoFA8eGiB0umpRh7HJ6enrDwKnCRTHOUxW2S8Cp5XEaWj0GhMOJLMmDGlCAmBjWn/8EL756HUKpKSmrJqVTt8k64gArRo0hLg8QRoDZxAWugFk7dDOiFkslplQNPLG0FYZeDUhARITMzuCS4pSTpNKAoODtn3w8IgNFSa1mVw9SocKdjkSQP4Z+yc+k/OTgGPBTyGnd6OLssXUzfsGt80BIGgtENpnreU5631R7PUkgjsAs1/4PkOeHlB2bLyM+v2kCGZLsCt1gy/5ooC0Gg0NpED0Mi7EVuGbOFS/CWbyBFC8NrG17gQdwG9Vk+zCs1s63uaVmiKQWcoqe4rFAqFQpELNaOjUNxxBHJaJxqokiX/V2A3SUlP8Msvrbl4Eaa8vgESekB8auZsUMbnDcCcpUoBuMC1BqV5e9Z69A4+TO3cBldCoP07iJQOxESVpZTzJrShM2Wg1BRXSHICgzvo3eSnwR10rmBM39e7giZ9LYsQYG8P9epldjsoSIqounXBI92c6fx56V0uQ3RlCLCc+1m3DQY5O5TBpk1w+TIpzRpz3cuVcs7l0OzYAZ9/DleuyNmpK1cgJia3G++s2NtLQZd1DdTWrTLIa0aQ4tBQ+PnnvIWSi0sxmwXGIVVqzlQdmJil3KeAJ9ANcONeJNmczIR1E9gQtoEz189kO5Yxy5Ph0a166erF7oVPzegoFAqFApTpmkJxn5PIpUtXOX/+KlevXiU29iqW1Ag8HE5RxjUcL/cLlPO4jINzCpYKWuztU0hLM3Bg4VM0qLoJWt0gUf8ezs6vMaXXu7zz9JSiNe9UCXqGZ+4fmQap0VBtNLinu2BOvgxJF8CutBRReue7s24oLU16qcsqfrJuCwFLl2aWb94c9uyB1aul6AEpcjJET07s7fOfKRo7NnN2KDFRznZptcABIIjcYuY8UqXmRTtgc8ZFAU5Ie8cwIMP1+I9IL4M1gJrpn2WQ82MlS/j1cLm2J3wjm8I25XLfXdG1Ih2rdKRj5Y48Uf2JYjFzU0JHoVAoFKCEjkLxQGM2w5UrgqioG9y4cYGTJ+tw6RI0awaPPfYWsJaIiOlUqtQTf59oTh74DlInQioymbBtpyXqMCcaIBWMVhM6jZUoky/fRK7AbG5EuXI6BpWqiYPpBHTYDF7tZCdOfQn7RmZ2SmuQgsfOE4zp4scux6e9F3jfZG1TcXPjBly+DN7e4JY+U7J7t1xjlFMsJSbmX4+jIyTGA12BCOjhB39vgm+/hcEHgI/hONLDuRdQNv3TCyjrCmV9wOCLjBlVERn0tk965XHABGQsqE1Ic0qAZ4DlOTriQXbhk5EqU1LWyFZh5dDlQ2w4s4GN4RvZfm67zXEEwLlxZ/F1KQe62/N6p4SOQqFQKEAJHYVCgZz8uHYNypYNB9YC5zh9+ixa7Tk8PM7i4RGV/QSBnFxIA6udBnv7FMxmIz/O+oYBPX8G/7JcTx1DYGALRnf9milPzEJjigZLSuE65FABnsyy2GhjO4g7AS2WZgqga0EQ8SsY3MDgmp5cMrf1rpnbOvtbmEWyItdR5WFOlngOos7BlUiIMsMV4EpliHpcmt19+ingDVyGZrVg73H47TfoGQcsh2UpMGBT/k17eOSeJfL0hOnTM8v89x/ExkrTwPJ7gB1gOg7JJ8DpXAFaxghUAwYD6W7KEch1Tc75nVQ4MoaJjHsdewISzoCLP7hWl3kJ4XB8NphuYEm9RmLiBUzJV7GzJuKisYJ3V2j71211QwkdhUKhUIASOgqFolAkARFYLOeIjz9LcvI5LJZz6PVnsVhMzJq1j0uX4KmnYMiQNsC/nDu3jEqVnqFMGYiK+hPoA2kVORrkTVhwaW5c8SDpuiOmBCMOWg1u9mbKeVzD0zUGq74UO/kZb28oXx4aXKyBPikUOmwFrzayS6e+gH2jCtd9jU4KHofy8NixzPzj70LCVvCvC6WnAm6QGAHRE8HwGxjSwEBm0pM5iZKNskBLYHWWvDWAE5jqwNUUcHcHJyd5KChIugbPOVN09ap0FpEXLi4QF5e537UrrFsnze8GD5Z5f/0FPXrIbTsjOBnBSSv1i5MZnFLAWUjrN6c64NxW9mnmS2CsDPjBnp/gSjTUrAIex8BkgQQLXL8M+hTQJEBaLJhupKfrYE7fNt+APtHyXgPseRHO/A/qvg2135J5N47C2rr5f1dlWkGnHfkfLwRK6CgUCsVtkpYGJpO0UriPUV7XFApFIXAEaqDT1cDdXT6zZ+Wrr7LujQXa4uXViKAgiI8HOAeYQR9OnWbh1GmWu4W0NB0XL1bg3Dk/zp41cjlsBiNHTgc0TJ24iVlTroBzANHR0lla28BaTOr3Mpq0eDDHcSkiDmGKw14bh53uBkZtHAaS0CBAWMB0HYsmkQvnnmH37p/R66Gr9i+ckv+D8hswuw5g+/aGlEvdSeD1X/O9E0JrwKp3QuhdEDp3hL4UGDxIarQKvUE6cTNG/Y4u9SJ4tQe30lABMCdA3CkpAurVhIYf5p5lslrl1FrO9URXrshjWfH3l8fLlcvMy2pSl2qS6Vp+V3I0PQG9TsJFoG4yfPQx/PILvDMWKssYRJwA3k4/TQPYAfbpn1mTPfD7UHArKwVUPx/p2c/OE/bvh7Nnobov1H0HjO6gcYFYwN0L3MuBYxkwlnwcHoVCoXjoefpp6fxn924IDCzp3txxlNBRKBSF5CngKeztoWHDjLwRQA+k4DkHnAXOIcQ5LJazaLUR6PUm/Pwi8POLoHXr7URHV2Dt2hlERoKbdwXweBYIJTZ2CWvXdmb//tZM/tAK/A7Ec+1YPO7uF3D3jkSnSxcFGSZ2Zpl0VhPmmP0884w8vGTGaIb0SQG3ssTGGunQAbrVc2ft3BZgjgVzMrEx8dhp4rE3yrUkGqsZXcZsBucBiE92xqNTpmg58NFXNPD6G5p9i9WlBo6O0K3edlaP624rYxE64pNdiU91JTHVlUSTC4kmV5JMriSZ01OaKz8eeB2rxg47O3huzgoGdj8MFXvCp5/y4YfgfXw7zyTXQm+9AeK6XPuTscYqpYDtgGmQYoGUFCBW5qU8A/7O0LQp+FYBJzswpsoZoAxE+vn5WSHuzzKrNSUGSk2T2y+9BIsWwcyZMC097+hRaJJldsdohA4dYO3afCpXKBQKxV2hbl1pcv3OO/DTTyXdmzuOEjoKheI20AN+6SkTjQb0epDrYS6TVQh5eurYuzdr6XAgklKlXPjmGzmrLr2YLQAyY50CpKXpuX69PNHRPkRHVyQ6uiJRUTJdvuxHmzbSQuy620CoPRAAaxTUqgXnLd2gYzdbXa88L5+7daRir4/HyRiHkzEOR0McTsZ4nOziMOjMZCX02qM0aOwILv5YLJCaCpY0M0LvKmegEOg0Ftwdr+PuWHC8olGfTcGSrtumt18Ox1eCgzeUbsLs2VDXW/Ds1ODME4wyxepcuS48uGFx50aqOzes7sSluZNodSdZ584PyyeiMbrg5ASt08J4Z/oYcKwIs0szr9RsEsPhuefG4+OTCt3OcGVwMAlRR3DTBeNEKHbmM2iTk+XSngSyfPaGxHrStbhzBDAFaApVq8pgtVWyuE5PTpZTYBnmeiZTwS7BFQqFQnF36NtXDtLjx5d0T+4Kao2OQqEoYa4iRVBNMqcYdiPXxVTMkcoCurvSq6xxWNPS5KdOl2nWLIQMH2SxgK8v6LRWSEvk4tk4blyNg7Q4m/md1hKHxhKHNi0OrTUOrTWZQ/pPSEuTYqm+yzfUrnAYfPqAVxvGjwdT4g3mTD6Im6c7GN35dJE7n3/tSnyCzhYL1mwu6AqgSROyiUo/P4iIkN62mzaVeXPnwuRs8XAFFSpcpEaNE9SocYLatU9Qs+YJPv74bU6ebIGTEwwZsoRRo54D2gOb+PhjaW335ptdcXIqBdTgalQNQg5XRZfijbPGgnspLX4tK9zWd6LW6CgUCsUtkpR036/LyYpyRqBQKBQPOCaTFDwZKUMAZWy7uEjfBhlMny6XBb31FlSsKPO++QYWLsx+bmJiwRMwPXse4LffViJdWr9AvXoQFhZPfHzu32erVUN4eGVCQtrz+ONf39b1KqGjUCgUt0ByMtSsKU2I587NDPYtROZgcZ+hnBEoFArFA47RKJNHIdf5z5yZO2/YMJmyIoQcF/MST4mJYDA0BGwLtRgyBC5eNHDp0u+UL38CCCEm5gRGYwguLrFUrRpGfHzALV+nQqFQKG6DTz+Fc+dgwwYZ6Brg4EEYNUqGOfjttxLt3p1ECR2FQqFQZEOjkRYOjo5QpszNy0+YANI12xPpCUqXBunhIAoIoX594x3q7a0RFwdqUkihUDzwXL8O774rt99+G+zt5baDg7RttlrhwIGsXoYeKPKMHKFQKBQKxe2jAbyAtsh4RCXPyZPQvr006bv3DbcVCoXiNnnvPbhxQ3r2efbZzPwaNaB/f7k9Y0ZJ9OyuoISOQqFQKB4aXFxk+Ij//oO//y7p3igUCsUd5Px5+Phjuf3ee9KjTlamTQOtFv78U8ZEewBRQkehUCgUDw3e3jBmjNx+6y01q6NQKB5gpk+Xrj3btIHu3XMfDwiAgTIUw4M6q6OEjkKhUCgeItKYOvUHpk+fw8GDsHr1zc9QKBSK+45jx2DpUrn9/vty8WVeTJ0qZ3rWrCFHkLsHAiV0FAqFQvEQsRcXl0G89dYMKlY8z7RpmXFNFQqF4oHhzTelo4E+faBZs/zLVauWuXbnAZzVUUJHoVAoFA8NJktjLsRVQ683MX36exw/Dr/8UtK9UigUimJk+3a57kang9mzb14+Y1bn77/lIsYHCCV0FAqFQvHQcCDyAM+uOgXA0KFfU6HCBaZPh7S0Eu6YQqFQFAdCwKuvyu0XX4Tq1W9+TtWqMHiw3H7AZnWU0FEoFArFQ0Nz5xqMWl2VyH6g15uZMeN9Tp2C778v6Z4pFApFMfDbb3JWxtFRelUrLG+9BXo9rFsn3VI+ICiho1AoFIqHh7Nn6fvHGbx/AQ7AkKGL8Pa+xMyZYDKVdOcUCoXiNvnzT/k5YYJ0M1lYqlSBIUPk9vTpxd+vEkIJHYVCoVA8PHjHQiu5eeNlMOhNzJr1PufOwTfflGzXFAqF4rb55hv44w+YPLno52bM6mzaBKdPF3/fSgAldBQKhULx8FC2NbxYD3TgvhPYAEOGfom39yXeeQeSk0u6gwqFQnEbaDTQowe4uhb93EqVYNEiCAkBf/9i71pJoISOQqFQKB4eNBro9il0krtJ48GgNfH22+9z6RJ8+WWJ9k6hUChujc2b4fr126/nuedkINEHBCV0FAqFQvFwUfYRGPUY2INjMLACBg35knLlIpkzBxISSrqDCoVCUQSio6FXL+k9LTS0+Oo9e7b46iohlNBRKBQKxcNHm/nQQw6BqZPBaDUxe/YHXL0Kn3xSwn1TKBSKohAZCb6+0vSsWrXbr08IeP55KZy2br39+koQJXQUCoVC8fDhWg3GvgRuYHceWATPDvqcsmWv8OGHEBtb0h1UKBSKQlKnDhw+LD2uaYvh0V6jAXt7sFqV0FEoFAqF4r6kySx42h6AtOlgTDHx3vvvc/06zJ9fwn1TKBSKoqDTQYUKxVffW2/BgQP3fQBRJXQUCoVC8XBi7wljpkM50F8D5sLAZz+jbNkrfPQRxMSUdAcVCoWiAA4dgg8+uDPuIsuXhwYNir/eu4wSOgqFQqF4eKk9HgZ7AmD9EIwxJt7/8H3i4+HDD0u2awqFQlEgr78Or70Gkybd2XYiIuDYsTvbxh1CCR2FQqFQPLzo7GHEx1AFtMnADOjf/zPKlIli4UK4fLmkO6hQPEAIAdOmQd++kJhY0r25+wgBR6bB5i5gjru9ujZtgnXrwGCAiROLp395sWKFjKnz0kuy//cZSugoFAqF4uGm0jMwvDoA4muwizDx4UdzSE6G994r4b4pFA8SS5bA22/Lh+cpU0q6N3efsG/h2NvgWB4MtxDQMwOrVc7kAIwcCVWqFE//8qJVK7n+Z9cu2LDhzrVzh7glofP5559TuXJl7O3tadSoEdu3b8+37KpVq+jUqRNlypTB1dWVFi1asG7dulvusEKhUCgUxYpGC88tgrqgsQCvQb9+n+PpeZUvvoDz50u6gwrFA8CxYzB6dOb+woWwc2fJ9ack8H0aPFuAR5a1L7cyS7JiBQQFgYuLdBpwJylfXs7mAEyfft/N6hRZ6Cxfvpzx48czZcoUDh48yKOPPkq3bt2IiIjIs/y///5Lp06dWLt2LUFBQbRr144ePXpw8ODB2+68QqFQKBTFQtnWMK4daICVYH/ExEefvIPJBLNnl3TnFIr7nMREaa6WnAydO8PgwfD44zLuy8OEwRU67YCAsXI/LQk2tYdzvxS+DpMJ3nxTbk+eDGXKFH8/c/Laa9Ld9O7d0lzuPkIjRNGkWbNmzWjYsCFffPGFLa9mzZr06tWLOXPmFKqOWrVq0a9fP6ZNm1ao8nFxcbi5uREbG4ur621M9SkUCoXivuXChQv4+PjcubEg7iTisRpodghoDSkbDVT0vkRsrCehoXfWOkSheKAZOhSWLgVvb+kpzM0NjEYZr+VBJzkSLvwG/iNyX2/IXDg4GdBAo4+h+tib1/fppzB2LHh5wenT4Ox8J3qdmwkTpN/9pk2l4Cnh766w2qBIMzomk4mgoCA6d+6cLb9z587s2rWrUHVYrVbi4+MpVapUvmVSU1OJi4vLlhQKhULxcJFzLIiPj7+zDboGoJk8CPTAv2C/xczHn88iLQ1mzbqzTSsUDyxLlkiRo9XCsmVQtizY2WV/UE5IKLHu3VHSkuHfXrBvFBzL40ek+itQbRQgIOhlODylYNOw+PjMH6MZM+6eyAE5q+PgAHv3wt9/3712b5MiCZ3o6GgsFgteXl7Z8r28vLhcSNc08+bNIzExkb59++ZbZs6cObi5udmSj49PUbqpUCgUigeAnGNBYGDgnW+081xEZ6PcngC9e35BqVIxfP89nDhx55tXKB4ojh+HUaPk9syZ0KZN9uPXr0sztkcfBbP57vfvTiIE7H4OYvaCsRRUGpi7jFYHjT+FOuni5fi7sOcFsKblXee8eXD1KlSrBsOG3bm+54WXV+Yaq/torc4tOSPQ5JiuEkLkysuLZcuWMWPGDJYvX07ZsmXzLffGG28QGxtrS+fVSlCFQqF46Mg5FgQHB9/5Ru3LoHnzNbAHjoPDr2ksXDQNq/W+DxCuUNxdsq7L6dQJ3ngjdxmTCdauhSNHYNu2u9/HO8nRmRCxHDR6eHQluPjnXU6jgTpToeki6Rgl7FvY3luu38nK5cswd67cfvdd6Vb6bjN5Mjg6wv79sGbN3W//FiiS0PH09ESn0+WavYmKiso1y5OT5cuXM2zYMH755Rc6duxYYFk7OztcXV2zJYVCoVA8XOQcC1xcXO5Ow83egN5ucvt1eLLLIjw8rrF8uXweUygUhWDMGAgOlutyfvhBuijOiZeXNG3buRNu8mx4X3F2GRybKbebfglebW9+jv+L8MhKGdvr4p+wuROkXss8/vbbUjw2bQp9+tyRbt+UsmXl9wryzc99MKtTJKFjNBpp1KgRG3L40d6wYQMtW7bM97xly5YxdOhQfvrpJx577LFb66lCoVAoFHcDvQO8OQ/cgQvguCiNTxdLL0fTp5dozxSK+4dHHgEnJ/jpJ/mAnB+PPw7Nm9+9ft1pondLkzWAmpOgahFMzHx6Qbv1YHCH6F2w8VFIPA+nTsGiRbLMBx+UrCOAyZPl9xoUBH/+WXL9KCRFNl2bMGEC//vf//j2228JCQnhlVdeISIighEjRgDS1GDw4MG28suWLWPw4MHMmzeP5s2bc/nyZS5fvkxsbGzxXYVCoVAoFMVJ4HPwrK/cfgd6PvI/SpW6zm+/SasNhUJxE4YNg3PnoG3bwp9z4gT8UgRXy/caiRHS+YA1FSo8AfVuIeJw2Ueh03ZwKA+xwbChJbjES3O1gQNzr3O623h6Sq9vcF/M6hRZ6PTr148FCxYwa9Ys6tevz7///svatWvx8/MDIDIyMltMna+++oq0tDRGjx6Nt7e3LY0bN674rkKhUCgUiuJEo4XXvoVywHVw+tDCJ0smAzB1asl2TaG4Z0lKgmtZzK1Kly78uUeOQP360hX16dPF3bM7jzketvWAlCvgXg9a/iidDdwK7rWh8y5wrQ5JF2BHR3iutTQBvBeYNEl6fLNY4MqVku5NgRQ5jk5JoOLoKBQKhaJY4+hYLYV7CJnVFKbvA3tICNVRqWE0MTHubN8uLXMUCkUWhg2DjRvlrEyzZkU7VwjptGDTJjlrsXmzdEl9P2C1wPYn5doaey/oshecfG+/3uSrsOVxSImQwse58u3XWVwEB0ONGiX2Hd2RODoKhUKhUNz3WFJhXVMI/iB/N64ZjPsOURVIAecZFhZ+J60R3nrrnrfYUNxjWKwWTBZTtv374F1z4bl+Hf79Fy5ckDM7RUWjga+/ll69tm3LXJNyP3DoNSlytHbQ+vfiETkA24Lg1XgQs+4tkQMQGHhfCNF7v4cKhUKhUBQnZ3+CjQdgx2uwrhlcP5x/WbcaaCb1ktvfwROVvsezzHW2bZMvnBWKwhCfGk+v5b148c8XEUKQbE6m1/JezN4+u6S7Vnx4eMgF6itWQLt2t1ZH5cowZ47cfvVVyLIU4p4lLhRCP5bbLZaCZxFnsgri/ffheAj8F5qZd+FPOP7evfOmJTFRClSrtaR7kifKdE2hUCgU9wXFZrp2/jxUrQxaC7QHHtPBI29A7bdAZ5e7fMpVRAtvNIcs8Dj8MKY/g7r+RPPmsGtXyTpAUtwf/HvuX9ovbY9BZyBoeBDBV4N5esXTAMzvMp/xzceXbAfvJaxWGUB01y7o2lXG2bnX/8kub4JrByBwcvHWe/26DBI6YQKUKgWJ5+CvGmBJgZbLoNIzxdteUbFYoGZN6RVuxQp46qm71rQyXVMoFAqFIi+uXoXA2pAK/A2Mt8D4d+CbWnD1v9zl7cugeWs0aIC/oKfTMsqWu8bu3fIZTKG4Ga39WvPNE9+wdchWAssE8lTgU8xqOwuAV9a9wjcHvinhHt4Go0fDwoXFN8Og1cI334CdHfzzD3z/ffHUeycp16HIIicsrBCFPDzgnXekyAFw8oN6c6BCD/C9e6IiX3Q66N8fqlSR39c9iBI6CoVCoXi4aNgQDh6UKuXRRyEN2AqMOAM9WsKPAyAtMfs5Pd9DtHYAwGUyzP3uJUB6YLtHLTYUJcyvwb9yMuakbX9I/SE0q5hp1vRW67eY1GISAC/++SLLjy2/6328bX74AT7/HMaPL95oujVqH+OSpgAAVR5JREFUSNfFIOvOEai+xDFdh62PS7O1QnIy/U9BCHjjDbnE5d9/8yl89mz+wrHGeGj9G2j1ct+aBuaEQvej2HntNekWvEePkutDASiho1AoFIqHD40GunWTTxo7dkD3LiCAPcCzy6CpJ6yal/mwoXdA8/Zs0AO7oXfir3hXjObgQVi9ugSvQ3HPIYTg7W1v8/SKp3n8p8e5kXIjz3IajYYPOn3AiEYjEAieXf0sa06uubudvR1OnID0GIpMnw716hVv/ZMmyZcS16/LWaN7iaBX4NIa2NEXRMFvOlJT4cUXoU4d2LtXvhg5cULm79uXxwk3bkCjRtLzXH4CT5P++C4E7BsFG9tAcgm5eXZ0BIOhZNouBEroKBQKheLhplUrWPMPHD4MT7aTI+PBFOgzCeqWg1XL5NPJI+OwPuYJgNPr8N63zwPyGc9iKcH+K+4ZUtJSGLR6ENO2TgPg8YDHcTG65Fteo9Hw2WOfMbDOQNKsafT5pQ9bwrfcre7eOsnJ0LevXIjevr10Q1jc6PXw7bfyc9Uq+PXX4m/jVmnwAZTrDC2+yxQdeXDhArRuDf/7H5jN0leDTgc//QS//w4TJ+Zx0gcfyFhEMTEyOGdBJF+EC6vh+gHY0Ariz9zedd0OJpP0lPfXXyXXhzxQQkehUCgUCoC6dWHVZgg+DH1qgwE4FgV9BsjYHhot2ne/BnsgFPqc+ZMKflc4fhyW34dWR4ri5WriVTp+15Efj/6ITqPjy8e+5KMuH6G7SbwmrUbL4p6L6Vm9J6mWVHos68HuC7vvUq9vkXHj4OhR8PKCH3+UT+93gnr1pJ0XyFmdmJg7005RsS8L7deBR/6zWNu2yYmZvXvlUpu//4aRI+UxBwd44onMsgkJ6XFWL16EBQtk5pw5UuQVhGNF6LQTnCpBwhkpdq4dvJ0ru3U+/RReegkmT76n3vwooaNQKBSKh47k5AIOVq8Lvx6FA7/BgABo2RI6dJDHavbE2kXGyHCaBbO/GgzIWZ20m4TkUTy4BF8Nptn/mrHz/E7c7Nz459l/eKnxS4U+36AzsPyp5XSq0olEcyLdfuzGkSvFuOalOPnpJ+lOWKORIqdcuTvb3pQpUKsWREWVrPePS39D2NKbFhNC+mbo0EF2uV492L8funTJu3xUlPTG/fjjkPbWDPnj1KpV4de8uAbIYKLu9SDlijRju5yf7/sUYCEwCvgtfb+YeOEFqehOnLin3vwooaNQKBSKhwqTCXy7L+OJZy+wf38BBWv3hB9D5RoerRasZljTDu3WaIQGiIS+u9fjW+0Cp0/Dd9/drStQ3DKmG3DoTbi6q9iqXHd6HS2+aUH4jXCqelRl9wu76VilY5HrsdPbsbrfalr6tORGyg06fd8pmzODe4LQ0P+3d9/xURVbAMd/W9ITklBDIHSkd1CKCIKAiL3hUwHFp2JDwAbqEyyAimLDhmLFAopiAyEI0qV3kA6hhIRAet/d8/6YdBJIIMlCON/P5352d/aWuZvN7j07M2fMr/ZgMnFk/wBQlry84MsvTRPJoEFlf7zCxG2FZQPhn3vg0E9FrpaSAoMHmwYvpxPuvNNkyW7QoOhdx8TA3r0Qu3IHli8+M4Wvv16ylNo+NeGqxVC9JzgS4e/+cHBmnhUcwDSgMfA48CFwE1ANuBPYXfxjFaVSpdy+eC++eN788qOBjlJKqYvKzD8PE3PFIH5rWI9Ok26l7U1/88cfUnT2tOwLjr2fwtbF4JkGgSaVqs9b8PLkO7Hh4MUXzQDj81pMjJnpdNEiiI93d23Kj4i58Pu9Gfz7JgQ2y30uajHErDqr9MgfrPmAAd8OICE9ge51uvPPf/+hadWmZ11NP08//rjzD9qFtCM6OZpbZ96K6wyD3ctN9ricpCTo2RNeeKH8jt2hgxns4g5p0bD4OhNAVO8BodcWutqBA6YhZvp005PvrbfMfV/f0+++eXP47Td4zfosNlysr3sj0qVryevpGQhXzoWwW8GVAcvvgJ3vAT8CLYH/AoeB2sCDQBiQBHwH5E0NfQg4XZP3aTz2mEmFvWsXfPfd2e2jlGmgo5RS6qLStnMcHat3NxOGNp/FprZXcu2cVtS68UM+nJZUdLDS8L9w3XhY8RWWheFITSAeBv6xlN2ejXg64hFmvn6gHM/kNBwOM4Zi9uz85TfcYH6F79ULgoKgSRO4+24zLmD5cjO4vKJJOgCLr4XlAyHtGAS2BEeeC7mNT8P8zrC3+HPZOFwOhs8dziNzHsEpToa0GUL4oHCq+p5h8HgxBHkHMe/uefSo24OvbvoK62kGu5er7BTS1aub7mtlNS7nTPbuhffeK59jOdNgyU2QfAD8G0H3WWDzPGW18HATi23cCNWqwYIF5uUqbqNMN5ZzvWs2TqzcdXACY8eeZX1t3tDte2j8MCCwbjhsug1kJ1AFmIxpvfkIOACsBN4C6uTZyYNAdaDolqsiVapksuUBvPTSedGqYxEprRmeyk5xZz9VSilVcR0+fJiwsLBS+y7YGr2V1xa9z4wdX5NpybrAT6uE7+57eKjDwzz/UBOCgoreXt66A8uoGSbldNb3uQMzgZ792WegZctzrmOxREebC1Bvb7j8clMWFWXGTlgscHwvJCyHyHnw8izYkAou4Hgh+7JazXiIjh2hUydz27r1eTsZ4Gm5HLDzbdg8FpwpYPWE5mOgxRiwZZ2PMwNWDYUjv8G1u8Cnhik/8oeZhb7uQPCqkm+3iemJDPxxIHP3zAVgYu+JPNPtGSwl6WpUDCKSb58FH5er774z/bAsFpg3D/r0cU89oqKgYUMTkP/1lwnYS0BEWHVkFZGJkXSv2/30gakIrBwMB6aDRxD0XQmBp7bWTZoEo0ebxIydOsGsWRAWVqJKmfm8li9nx+X303zZVMBMT5SdvKBkdoI8DFsXwpasoobtoNMCsFY+w7aZQDNgL/Av0CSrfCUQCfQHfE6/i8REqF/fJI744gsYMuRsTuKMihsbaKCjlFLqglDagU62+LR4PvrnS95YMoUYye2rbtvflwHVH+Xth6+hfr1Cfr1OT0BaBGLZC9IB9kfVo8HhA7nPX3edyRjVpUvpVDQjw4yR2LTJBDbZt9lzbQwYkD+1a+PGUDUQ/rMOsq/nBLD7gDMVEoGDnpDQGSICYN0GOHr01OP+73/m11kwFzH79plg6EwZodwpZjWsfgDiNgEg1XuwO/AjflvSlPBw8PODDz80jRMAONNzgx+ABVdC9N9gsUPoNVB/ENS6FmzeZDgz6PN1H9YcWcPXN33NLc1vKfPTWR6xnHGLxzHr9llU8irn66D4eKhb19w+/zy8/HL5Hr+ghx82/weffHL6wS8FZDoz6fhJx5wkDxYsXFrrUq5udDX9G/WnY2jH/Bnytk2ATc+BxQZX/gkhhY+7evFFM7fpffeZxGPe3iU8n19/NS2tPj6wezcvflqLceNMTPnjj3DzzSXcHweBS8zdPd1hzSIz10+9u6Dr9GJsL8BGoF2estswXeD8gGuB2zlt0PPaayb6a9jQJCcog88KDXSUUkpVKGUV6GRziYu5Oxfw/K9T2JjyO1iyvh5j6zGmw2QmDLrplG3kywex3DMVbMDrsG13M6K/rU3PxAVYsr9ee/QwAU/fvsXvy3LiBKxfnxvMbN4M27ebyTgKsljMBUX31jA4w7RKXPZp7piTX+qBV1Wo2Rdq9oOqXSF2A2x4Eo4vM+t4VYNWY8H3Wli/ycxkuHatuf3889wMUL//bu63b28mBckWEQG1a5sWIXfKTDAXp7veB4R0KvP11jd44Yt7iIzM/9rXrWuuMVu3LrAPEdj5Luz/0rxO2TwCoc6tUG8QMf7NOBh/iA6hHcr8lDKcGTSZ0oQDcQcY2Xkkk/tNLvNjnmLRIvj4YzPoxN0Bbno6eHqe8X/J6XKy5ugaOtfunFN2w/c3EL43nHpB9dgRsyPf+lV8qtC3YV/6N+rPdT7pBK293zzR6UNoPCzfuiK5h3e5TOroa64pWf4AwHTtat0aduwwnxETJiBiWnI+/tg0pM6ff6bhSRHAH0De5p/vgS5AXTg0G/4ZYrrdFRGsndkLwFeYICpbdtBzGyboyTMYKSnJtOrExJi5kO699yyPWzQNdJRSSlUoZR3o5LXv5H6e+fEjZkd8isPjJLNunMfNbfoCEBnlIKS63VzUiAtnJx9s6zKQLmB5FDIddjbtfZCOh1Pg6+m5wUm7duZXzltuyT++YetW07m/Xz/TwR/glVdMS0pBlSqZC6MWTaGeHdp1hm63gL8/HF8O4ZeDZ2W4ORqyf512pIDdXIRMWT2F8UvHczL1JMHeQdxayYOnfE9Q12rSzEZZg/gj8FrigtoR7B1MsHcQ1X2q0rVed7Ovzz83KaVuvtl0SwFzsVapkpkdvUOH/N3e6tU7i6u/syBiJk5c+xikmlapr5YO4olv3iQm0bymPj5mDP2VV5p5DffsMS0706fDjTcWsd+4bXBgOsm7P8EvM88cLr5h5hfy+oMgsHmZnhrAhsgNvLr8VT6/4XN8Pc4wuv1ik5Jyyoj/5Ixkmn/QnIj4CPYO30uDYNPycyDuAMHewQR6B3Ik4Qh/7vmTP/f+SfjecOLTTXKODl6wpDb4WmGFbycaXPUrIf65KbR//x0mT4Y//jDvqXMybZpJy1y5shl7lNVX1umEW281Q+wCA2HpUmjVqrAdxGDG16QCq4FOhR8nIxY8g3Mf543Ush87U8GVblo3s2+daXnK0sC5BVyLwbkcXDEQQlZ84wexXeFQIPj3gQYPmD59Tz8Nof4wvQ9YMnL31elDCGpxTi+dBjpKKaUqlPIMdLKlZqbyxarZPNhtIFaLFRGoNWQM8UF/M/m6V3iwT29Y+BFc9RAIHHvVh5AwM9Dd6d8CW72J8MUic2WdPdC/c2fzC3l2H5e2bU3LzezZpgsLmKupUaPMJBytW5urnDqAfTNEhUPMShAnNBoGl35otnE54N+3oGYfCGrDx+umMnfPXMb3Gk+L6uai4tP1n3L/b/fnO0c7cH8gjKsM1e3Q8zAszjNWv25gXQ6MOJDzuPun3Tgc+S+f3jWT3g16w969OFu2wJZ2ahaHjOBKpLVpgatjBzwu7YJv1x5YatU6tz9KAeHhEPXXy9zdOisLmH8jUlt/RHDT3jRrZhrS+vY1GbGyX/KTJ00Csb/+Mo9feQWefbbwmGz78e20+qAFl/vA9Lb9CIv/BzLzZKwLbmcCnob3g4d/qZ7b6bjEVbaJCubONS2Fl1xSdsc4F4mJ8Mwz8PffpK1ewT8xG+lZr2fO032/7su6yHV8deNXDLhkwGl3lenMZNWRVSz/dyb3Rn9EdWsmc5LhuqNweNRRagbUBGDNgW307xXEif21GD/evGfOybPPmm5eb7wBI0fmeyo11bxvly2D0FBYuRLq1AEzjsYjz5pDMC0t7wIFmycLEf8vzL8M6t0Nnd43ZY4UmOlX8vpfcRPUXm+Ovw/4B6hphStvheQXoEEvM4bwfqBnnu2uWgLVu5f8eHlooKOUUqpCcUegU9DefU4af1AHCTjK51f/zD2X3QiAo08l7AsScbaDp9q9yOiOU6geeBwsVmgyAmqNgI8+MzMJJiWZoCe7C9Bjj5lAZ8wY6N8/92ApRyByvkkicCwcMk7mr0zAJdBgCJlNn2Jd5Do2RG7goU653Veunn418/bO492r3+Wxyx4DIDo5mp0xOwkLDCMuLY64tDhiU2OJTYslOTmSmvGrWEQYsWmxxKXF0TZjD7E+dfnwjvCc/TZ+rzF7Tu5hyT1L6F7XXKxMWf42U6ePpNNR6HgUOh2B1lHgWUhm5GMBFrY1DmLTk4N49PZJeBaSxaoosbEmOOnQwfSMATNn5dgn9rBhYgcC2j8GLZ4Duw9xcZw2mURmpoklp0yBmjVN78CqRYxNf3nxyyRmJDKx90RskglHfjeD1I/OMfMr2f3h5qiclrNTfjEvRSLC2L/HEhEfwWc3fFY2wc7u3eZFFjHNCW3blv4xztXJk2Q2vQSP4yeY3NObp67MIGJEBLUqmUD6UPwhqvlVw9tezEEzjmQI7w6xG8gMaMKPtUay8cQ+XuvzWs4qfb7uw4J9C7gq6XP+GH8PnsV/6xZt2zYTUBYyuCc21uQp2LYNrrkmnT/++Bh4DfgbMycOmEk/vYBivt8W9YfIP6HOQLj8e1PmcsL32V0SLWa8mtUr9zbv/by3Lf8H1boCa+HEu7DvFwhMhEtsQBS8+YXJwlYrCMJfBO/KJjNc9R7gXe0sXzBDAx2llFIVyvkQ6ADsPBLFG/O+4cN7hmO3mouDB/47hI+//AqLAxaNr8ZtE7cz5d6R3NE5a/Cvf0Mzbsavo+krNXCgmUU8L0cqHF9qApvIeRC/Lf/zHpUg5Coyq1/JeqoRHrWbxQcXs+LQClIyUwA4mufX5x+2/cD+uP1c3+T6s5vbJTUSfmts5uTotxqC2wIQmRjJidQT1A+qj5+n+RV41eFVzNk9h9i02JwgKSnhBNX3HaP+nhM0O5BMu8NOWhwHm0CGFTpOqMump/ebTGL//MOG9IM0uOxqAr0Dc18SB6xebRJ9zZ9v7rtc8MXkdQy5ehE0e5Ljx02Puv5XxdGqfVCJT3PqVNOrsFOeXj9RSVE4xUloQChwmoxn6ScgYqaZiLTFGLJWhnmXmRnr20wEv5Kk4DqzLVFbaPdxO5zi5NFOj/Ju/3dLPxvb0aMmy5rLZeZdKuG4nORkMzzjxAmz5L1/4oTpaXbNNdC1a8mH/CSkJ/Ddlu+YtmEatRes4aeZ4LDAdSOrM/qxmfSo16NkO8wWMQuW3WrGq/VbBf4mkt62DY4cgav6uLjyyytZenAp2x/ZnvM/9d2W75i5fSZXN7ya/o37UyewzumOUmKHDzv5/vvpjBgxFrs9e4zMcOCds9uhywEJ/4JnEPjWzi3PTDLBi8V+DkG6AGsxyQzuN90K27aFgakw5gT4/gCcvnWtuDTQUUopVaGUbqAzHbgSOPduVOs2OOk4vQ4RO48S9ge4GkCdro9wZOZEPvvfEu5tOQxSDps+8jccBI8As6EIiAOsWd1Qdn0Aax/Js2cLVOlERvUr2WQN4Y8TMSyKWMqqw6tId+bvJlbZpzJX1L2C1656jUuqlFJXo6T9sOYR07+/74rci5+zbK1Ic6QRF3OE1DUrOLJhMbuv68a97cwgZVenjljXruOu26wMHrOZA6tbMG+eab1JSMi/n6u67GfeI42xWpzQZ3nWL8ql553vtvBqxLWEBldlyT1LcoK5YovdDHPbmF+9b44yEzkCpJ8074FSCEq+2fwNg34ehCA8e/mzjO89/pz3eQqHA2dsArGWyvmClbAwExiCyfb88MMmP0DehH99+5ouhWdSubJJFnj99WaIWkBA4euJCMsiljFtwzR+2P5DTmDvYfXg7znV6frPEaRNGyxr1pixYmcr4gfwCYVq3QCT9eyee0yOjdWroWlTiEmJoYpPlZzg8vYfbueH7T/k7KJZ1Wb0b9SfqxtdzRV1r8DLXkhq9q+/NpF109P9ACHAL8BzwPasslBgLHAv+buvnceciWBri+nbdpjS+MwFDXSUUkpVMKUX6OzBzA9hB4YCzwD1znpvLhd8OGsrP89/kfBvfsSSCotHQU+vAKyb72Hpq0PomvIpVL0MGtxjNto+CXa+Ay2fz83olLgHFvSEmv3IrNGLCbtX8+eh1aw9uhaHK//EezX8atCjXg+uqHMFPer1oHm15mU3XiMzMTc4y0yAv3pDk+FmMH4pHDPxRAbxva+i6tZl1H84mGNTokFs3Mtn9KjxLnPq1iS+yQPc1KM/1/T1NnOU/HOfGTzdfjL4hJzxGMX13rw5DF88ELySqOPXmCX/DaduUN2S7UQETqyG+K3Q8L7c8j87me5Rde6EOndAUKNzquvHaz9m2B/mvTOx90RGXz66xPv46SeTzC+7pcV1JJI9yTVzHsfF5Sbvy/bII6a7H8Dx47kpujMzc1tn/vMf+PlnqFKl8OXwYTOY/2Se3phPPGGGquQVlRTFl5u+ZNqGaew6sSunvFnVZtzX7j4GtRlE9SSB5s3Nzl5+2aTALolCAnenE557zgyfATNdz/ff5+YKyWvjsY38sesP5u6Zy8rDK3FJbn9NXw9fetXvldPa0yC4ARw8aMY9OZ2my2qLwgbl/w2MBlZlPQ4GxgCP8uOPPixaZP4G7ppWqeQEMy9Ps1LbY7FjA7kAxMfHCyDx8fHuropSSik3OXToUCl9F2wSke4iQtZiF5F7RWTXOe5XJO6+BiIgrhpI1RcRxpml5et95Mets8XhdJgVt7wi8g0iS26VhLQEmb1jtny+4XMRl0tERFwul9R8o2bO9mGTw+Tun+6WqWunys6YneLKWq/cbZ1g6v0NInPaikSGl3gXDodZsj35pAiI+JIk+MSI3S7SvbvIvga9zBMgDjvydxOrTBnaSr76fYJEnNxXiidlXu93/nlHrC9ahXFI5VE9JTrxxLnvOClJZOVKkbdfFeltE2mAiAcinoiMDhPZMEYkermI03HmfRVi0vJJOe+RKaumnHbdjAyR8AJ/rr59c15iachuiaOSvMuj4kF6TjmIBAaKNGgg0qmTyMSJuds7HCJTpoh8953Zf95jnektmpkpsnixyBNPiDRqZO5nmz9fpNZtb4h1nD3n/PzG+8nQ2UNlecTyU9//06ebinp6imzdevoD5xW1VOTPziLJh3OKYmJE+vTJPfcnnjB1LY6TKSdl5taZcu/se/P9/2Yvjd9tLGM/GyyxfXuIXHllIS/SOhHpJ7mfTb4i8qyIxIqIyMGDIh4epl7ffFP803Q7l0tkwQKRW28VSUsrlV0WNzbQQEcppdQFofQCnWyLReQqyb2osIrInSKy7ex3GXdYXMHmCmnzUA/hjuuEsZacC53gF+vK/8JfkQOH/hY5Ok8kM0WWHVwmjEOqvV4t3wXch2s+lC82fCH7Y/e7L7ApKDNFZNurIjMr5QY8C68Wid1crM2/+EKkXj2RP//MLZs/31zoPvywyC+/iGT/eR0LF0j07a3EWSPPFXfWsqYmMuXa6vLOh/fK0gNLJNNZzCvRQmQ4MuSh3x/K+Rvd+/NQORmfnvN8WppIYmIxdhQVJTJvnsirr4rccYdIkyYiFsspdc9ZJpL7Go4OELn5EpGZY0XSY0tU/xcWvpBT9y82fFHoOomJIs2ameqsW5dbPnmyyH33iTw7KlWOhbYTATne7HJZsjBTtm0TOXYsfwBTVlwukT0n9sqRhCMiIvLIIyI0nCeMQzp/2lk+WfeJxKUkyPz5IunpRexgwADzul52Wf5IusiDOkV+b25e/1UPiojI+vXm/Qkivr4mgDv7c3LJxsiN8urSV+WRZ9tKt/ttOX+nrzd9LZKSIiIiSelJku7YIiK3S/4fXx4RkchT9vvJJyLDhhXvFM8baWkioaHmhf3gg1LZpQY6SimlKpTSD3SyrRSRAZJ7kWERkVtFZMNZ7S3jpY6mVScA6Xv7m0LQfrH1e0Z4unLOhU6ftx/KWT8tM03aftRWHvztQUlKTzrnsykXqcdF1gwX+dZuLhS/tYqsHJrvl/HC3HmnudZ56qncskJjuJMbRf681Ox7OuL6uLVEP3mnHGpRR5yW/AHDwUrI1C5eMuH5nvLtms8lIS2h2KcRmxorfb7qI4xDLOMsMmn5pHxBpcslcu+9Iq1aiezfn1XodIocP57/BBo0KDqgCQkRufpqkTFjRGbMENm5U2TtUpF900WW/UdkZpBIt6x1r0fkW5tIeE+R9RNFNq47Y9OIy+WSEXNHCOMQ64tW+XHbj4Wu95//iFSrJvL774U8+cgj5vhVqogcOlTs16+0PP/X88I45Ml5T4qIiRk/neaU7xbk/uiwcqWpYkCAyO23m0acE3kb3Q4dEqlUyaz05pvFO3DifpHld4tkJsnXX4t4e5vNGzQQ2bTpHE/K5TIv9uWXi4Bkdr5Mftr+kzzw6wMSlxqXs9qrS1+VlYdskvvZc7eI7D3Hg5+Hpk4VeewxkSNHSmV3GugopZSqUMou0Mm2TkRuktyABxG5TkRWlWw36QniqmUuXCNutwvWTLHZRMa+nCI1+n0uDO0qfT+5LWf186Wx5qwk7BZZeltuy8T3PiIbnxPJiBeXy7TQ7NmTu/ru3SKTJokkJxexv8wkkfVPmYv9bzAtR7s+ML++Zzt2TBI/eEciruwgqV62fEHF1Xch+2P3m/VcLolLjSuyNWzvyb3SbEozYRziO95XZu+Yfco6R/enScNq8QIiVauKbHxvibnSbt06/4odO5rmkksuERk40PTvmjtXJPLUX+RP4cwUmfmGyG1tRN6sm/taPhtkzqtWLdPs8uXbIieiC92Fy+WS+365TxiHeLzkIT9vnSvjxpmuTtmiokRiYwvZ+Icfcl/DOXPOXN9SsCFygxxNOJrzePaO2WIZZ5G7f7q7yG1mzRKpUSN/DGmzifTsKfLWWyJ794q5mAYRHx/zZiuGjAyR4cNz99m/v8jJk+dwcpmZJgpr2TJ3p56eIvffn6fb1gkRMQF536/7Ss8vkAOxrcR0qxWJToqWubvnSobj9M1pGRlmt4sWnUN9L1Aa6CillKpQyj7QybZFRO4Q8+tqdsBTsmAnY6oZ/ODyQobc86SAyODBpjFg2bL86w4bJjJkSNaF2oXq+EqR+d1yLtLTv60mr/33fbHbMuSuu4q5jyNzRGbXy73QX3qbSPIZfv1NSRHHr7/I0Tuvl+O1gmXg1zfkPjdmjGxpWlkG/beKzNmV/wJ+6cGlUuW1KsI4pNabtWT90fXm6nbRItOfa/BgE8zY7RI36kVp1y7rl377QXPH3z9/n669e4vZv60YEnaL7Hhb5Pmbc5sYshcrIp3bi7zyisjateYNlcXhdMjAHwaa1qnnfYS6i+X2289wrD17cltBRo8unfoXIiY5RpaveFr++qG1LP3CV9ZPQ47OqGHGec1pK64/2kj6b81F5rTLv6x5NN9+XPMul8QfO8irLxzOiSMe6/eOrH6po6x+qaNseb2DpDYNMP97rfxF/ugoMrdT/uXn2iKHTFB77JjIFVfkvrzPP38OXcKSk82Apey+b9nvk6eeKtCKMUNEAkXkBRExf7dF+xfJiZTc5qn3Vr1nurq+GixDZw8tMuiZONEcplKlUmiBKm/n+AtPcWMDzbqmlFLqglD+8+jsBCYCu4Fl5E7IdxCow2kn6JM0pLkPln/hRD8rVf9KxuryZutWaJYn8dDx41CrlslYtWIFdOlSRqdSHkTYsWA2/rufISxoNwBLdvZgnuNvXnnlNBmiUiNh3UiImGEe+9YxM7bXurbEx897EGnWDMu//3L7rfDcextpE9IGDh1i7l8f8+Cm8bQ9BgNSQhnsao3P1n/hwIHC93vnnSRP/YZ774UffhBasI1+jzXhtckeJZ4DpsRSU2HJEvhtJsz+Eo448z9f2R+6NoLrBvJv06E8/HIwi6rdDE1+x5IexLTWe7n3jsqF7zs93Uxks349dOsGf/9d8kltCuNMI2PVMBJj1vGaZy/CDy5h47GNTKsOQwPPvHk+NfvDlXNyH8/0N5nrrt8H/vXZuxdiFz5NR79JuetEYxKWpWOyMF9VyH4tdmIv/5dWXRpy5IhJa/3VV3DjjSWsH5hZPT/4AN55x/xDg0nPNmIEPHQ3BK8B2gDZWfZmAzcB3YClFPY58u6qd5mwdAJRyVE5ZcHewdzU9CZua3Ebvev3xsPmQVqaSeW9dCmEhprPkLolTBJYnqKiYNYMBw8+INi8zmW+Hk0vrZRSqoJx34ShDkwqaoB4oC7QHPgZqFH0Vr/eif2G78AGo++9i9c+nc7tt8OMGfnXW70afvvNZMbNNnWqyUDbo8eFkUJ23TqT1ffPP8Fuy+Shqz5h/H/G4Wr5MoEdHix8I3HBnqmwcTRkxoPFBk1GQKtx4OF/7pU6cICM2T+xrGd9rmxzo5n35JVX4H//K3qbevXMBIft2uXe1q4NFjMw6OWXYexYs2q/fiblcFDQuVe1WMQF25bA8p3mhV6wAJKScp+2wOamrflfpRfZ3X8Ko6/9L0M63FH0/h57zOQorlIFNmwwE+SciTMDkvZA/A5I2JFz6whozN+h97Nw/0IW7v+LeV6rCbRBy4OwLcNs+nhoGNdXrkJwja40qt2TAM9i/A97V4XKHXIfR84HcUL1HmD3NWXx/0LSPhKTzPtw5Uqo8fsvXHZ8GXsfGs71I8ykmKlpJiDo1AmCwy6BSo155BEzH+rPP59hSpvCHD0Kb70FH32U+3eoXx+e+i/c4wc+fwILgQzgBeDFrA2TgXDgeqDo9OxOl5OlEUv5YdsPzNoxq8igp31Qb3pf6cHWrdCkCSxfbv6k54vsOZa++ALmzjVZtefPhz59zm2/GugopZSqUNwX6OQ1D7gBaAhs4XQXKpCOq6sP1pVCchfwXx8P6ZXYtAlaty56q+PHza+yqanQuTM8+yxce+35GfBs3QovvGAuFME0CAwdaoKesJAEsPmCNStIPDgDDs2CNndDwDY4XhvCB5vnKneES6dC5XZlW+EXXyT9zdexp6RhbdESS96gpk0bCA4+4y5+/BEGDzZ/nyZN4NdfTVBa3lwpqWx7+Xn8Fv9CvSP7sEYIDAKuBrH5YrF2g89Pwo13wwMj8m88axbcequ5/8cfcM01+Z93JEPCv6cENCTuAck/pxPACXtVqu6IyXn8YCD4+tRAavbjsgb9ubLeldTwL/pHgdKWkeZi8WJodImV+vVN2U8/wS23QOPGsCtrSp6MDEhLg7P6OPnvf2HaNHO/VSMY3Rpu3w/2DQVWbAg8Bjx+difDmYOePmE3svj14URtakvnziYG9ivhPLelScQ0FH7xBXz7bf75kjp3Nr839O59bsfQeXSUUkpVKOU3RudMjorI2jyPk8WkqZ4hIvk7+Dv+eUgkK0vYO/f3EhC54YbT7z0qyqRa9vLK7erfqpWZN6O483mUtd27TQa17OzJFovI3XfnTzyQj9Mh8ktDM/Zmy7NixiggsuoOkX/fOet5ZM6Kw1FEjuLiW79eJCzMnHtQkEmRXXypYt4zZ2/VKpFLL819f7RpkSybvvhSZP4QkZ9qmdf5/qwnGyE7p1eSuNUjRGLWiHz/Xe7Yn1GPiUQtyZ/SevsbueOkCllSv/GQtZ9ZZd8f3c28ShE/y4adM6T25Noy+OfB8sWGL+Rg3MGiqu4esbHyyy8iHTqIjBp1lvtYsyZPgoM0kR2fiFwRKvJHFRFX3gQmFhHpJiKvish2ESndbCPZY3oe/v1hqTGpRk4mx/cX/CrBwebP2ve6eElJK4e84AUkJ5tkIy1a5B9aVquWSTr477+ldyxNRqCUUqpCOX8CnYLeldyLnKYi8pWIZEckqeK41ioCkt4C8ap0WEBk9eoz7zUyUuSZZ0ySr+wLhgYNRD7+uNTm3DsrkyaZbFfZdbrlFpFtRU49lCYi74vIrSZl9PK7RDJjRWSUiHQosO5jIvK4iCyRggHj+SgyUqRLl9zsX+++W9T46oKFfUTEQ0ReLvExjx0TGTo0/1j3SZMKxG0ul8jJDSK/DBe5K1TkgTyBytQ8V59du4rMzppH5kieZA0Hvhf5BsmcGSyHZjWUP7+tJ+nbJpl5n5IiZGRWKuvhc4bnOaTr/JnrKa/UVJERI0zKvKwMeGeVbODll81rdtddIvKNiPhL/uyMvmIyNn4uIlGlUfNiyQ56hs8ZLmmZabJ8eVYM2+tZ8fxfsExZ9X6Z1yHvnz09XaRytTTBL0o8a+6SvveskYkzwmXmlh9l2vppMnnFZBm7aGzOfEnnQpMRKKWUqlDOj65rhYkF3gPezroP0AAYAwzGtWcs1mavggN+vK8Vt03bTO/epp+69XQ937LExcH778Pbb0NMVu+gmjXhiSfgwQfBvxSGs5REeLgZAH3NNWbMSvv2ha2VAXwBvAIcyiqbB/TNs46L3K5/KUC1rFswY59uBG4BegIepXcCpSg9HR54wAxkDwqCf/+FGjUATgALMOe8AFiHOT8wr8n/gK+Bu7PKjgHbgR6Arcjj/fkn9O9v7g8aBK+9Zt4Lp3Mkej3fzR/EQzXr4Ld1L0xMAC8vWLYMDj4JJ1Yh7d5gt19rFu5fyPJ981l1aDG7k3L7Gy0YtIDeDUxfo32x+0jJTKFFtRZm3NP5LDMTLrvMjEF6/314+OHibed0QnIyVDoOzIb1wXDZg+ZFn/YAWLoANTHjbK4HegHeZXQSJfPrr3DDL5dDneXc6PiOn18247QOJxxma/TWnEQGhUl3pBOfHk98Wjzx6fH4efjRrJrJnuJ0OXllySvEp8czvtd4kuJ8GDcOZp98Gb+uX+dsl+5MP2Mdl927jG51up3TeeoYHaWUUhXK+RvoZEsAPgDeBLLHK9QBRuIc+hS2zx246kLNzM1EH23F4MHw2WdgK/q6Np/kZDMkYNIkOHzYlAUHw/DhZlx5WQxAPnHCHK9yZXj6aVMmAps3myEtp3JgLuBfAg5klYUCzwH3AV5FHCkTmAvMAn4F4vI8F4y5mLwF6MP5ckGZTQQmT3ZwxRX/0KnTPExwsxbIe3n1DXBn1v0MTEa/BkD2QIrXgWcwr9V/gLuAtoCFo0dNRq1so0fD9debhGlnVdmsmkXER7Bw3wIWHvybhfsXcjTxaL5V/Tz86F63O73q9WJgy4HUCaxzFgc8D2zeDEeO5EaIp5OeAl9Ph9ffgCuvhI89gSnAfyHqlawo1gWsB9pz+jF67jP1EycPTlgKRzvy3pv+PPooTFg6gecWPkdln8p0C+tGqiM1J6CJS4srNEi5qelN/DTwJwBEBI+XPXCKk8MjDxNsr0VICCR2HQld3j6lDpW8KhHoFUigd2D+W69ARnQeQZOqTc7pHDXQUUopVaGc/4FOtmRgKjAJiARAov2x1E+CFFhzfxhdPovA6YQ77jCtAR4laLDIyIDp082v+dmDqr/5Bu688/TbnY0ffoDbbzfpdw8ePN1YfSfwLSbA2ZNVVgPTqvUgJQtOMoBFwE+YzHbH8zznDwzABD39sx67ywFMUDMP+AsT6OZKS2uJt3c/oB/QndO/Bq9igp3YnBKnsxkzZ97FxIl3Mn9+fUJCSqfWs7bP4tYfbj2l3MvmRdewrvSq34te9XvRKbRTkb/8VyxJkPgLfPwWTN4AkS5TXLMm7PsMvCdjWt4Gu7OSJfbyyyZRiMViMj0eCJ3EGyvfIDo5+ozbBngGEOgdSN8GfXm/3zR+/dUkFlgdPIqh93jwdLenqOpblWnTwFZ9F/VaRlHZNzegCfAMwGYt5i84Z0kDHaWUUhXKhRPoZEsDpgGvAYfgWWAiSDWYOXk2g4beQGYm3HwzfPcdeHqWbO9Op8kk9d13MHNm7hQoCxaYLMmNGp1280IlJ8OOHdCxo3nscsGQITBwIAwYUFjmNxcwExiHaaUAqIqZyOQhwLfklcjHiZnDaBYm8DmS57kATJevcz1GSY0Fvgd2FSivDPTh2LF+9OrVl0OHavH339Chwyk7KEI6plXrG+C3rMfG8eNdqVbtLuB2zOt7duLT4qn/Tn1i02KxW+1cWutSetXrxZX1r6RL7S74ePic9b6LZysmNVw0+f+WTwH/YFr8vAssRZW1ALJTd7kwKZu9MfPTZKeDP4FpLcza7kgMzPoJht8C/AbRP8C7f8P7rtxGxFr+8MRLcP/95d8vtBSJwCOPmKxnv/xiUtU7XU6WHFzCvzH/mhaXgq0tWUGK1WJj9WoT3Hz/vek+m23LFmjZ0l1nlUsDHaWUUhXKhRfoZMsAvoKUZ6DOSTgBh4ZUYtMtcdxyqwW7PZnevf344QczdOJcpKdDw4YQGQnz5sFVhU2WWMR2U6fC+PHmAmnfvjOlp3VhAo9xwLasssqYC9ZHKZuWFhewBhP0zMJ0/QrP8/wTQFNgIFAa7w8BNgNLMOeUHeXdAczAjKXpjGmx6Qd0AGycOGEyN6enw6JFxf+bipj5Rnr1Aj+/eOAnEhO/wd9/IRZL9qWaHbga07Xtes4myNt7ci/7YvfRuXZnArwCSrz9maVixiStAFZiAo8ns56LwYxV8gcS82xzNaZlrCSGYMaBgWlFzX7PJZHbJfDe3HXiMG+ZWOATYCPmd4i0rFWbBMMz98NdL4CnG3MzlyKn08yD27Bh8dY/csS0Fn/xhRlvli0szPzgMXiwSc99PijT9NLvv/++1KtXT7y8vKR9+/ayZMmSItc9evSo/Oc//5FLLrlELBaLPP744yU+nmZdU0opdf5mXSuueHFM9jDZm3yRLRMayp9zU+To0RBZsaKz3H33QUlJObcjHD0qMmCASeeaNzPbiROFr5+RIfLJJ7mpkkGkfn2RzZvPdKQ9ImIVk3EqUEReEpHy/Lu4RCQ2z+MjkpsB63Ce8pKm2M2bzi5FRLyz9pk3rdxyEZlV4Pj5ZWTkf80dDpMArCg7doj07Wte/+efL/jsERF5U0TaS/5MXyXKaV2GDolJrT5CRC4Vk1Eubz2vLLD+HyKytUDZSjGv6TciMk1Mpr7JIjJBRF4QkadFZLiIPCgiQ0RkoIh8kGf7eBFpKybrYd4c7IPE5N3KqsuoPFnnspdOLUV+miXidJ71K3Ch2LJFZP/+/GUpKSLffSfSr5+I1Zr7svj4mJTxCxacny9NmaWX/v7778XDw0M++eQT2b59uzz++OPi5+cnBw8WnjN9//79Mnz4cPnyyy+lbdu2GugopZQ6Kxd+oCMima+JtMu6kvBCDo4JEslEYmMDxW7PkF69RJKSRERmi8jfkv+irfhiY3PvOxwijRqJ9Ogh8uefJh2s02nm5WnUKP9cFx99VNQUMy4R2VCg7FER+Z+c7oK//BwXkfEicl+B8n4i0llEJonI3kK2SxfzOo8Rk+66TYHnbxKRASKy/pxq9/TTIpddZgLRvOLjRZ54QsRuN38DT0+RF1883Z62i8hzItJF8r83JohJzb3jnOp5ZukiskpE3haR20WktuQParKXEBG5WczrvqqM63QmLjEBb4JI8gGRpllv+j59RBYuLConeIWzcqVIYKBIkyYix4+bsv/9z5Tljfsuv1zk00/Ne/N8VmaBzqWXXirDhg3LV9a0aVMZPXr0Gbft0aOHBjpKKaXOSoUIdCRJJLGuyJVZVxVW5MgD3rJu7Tfi72+Kund3idNZX8xXdGUxv0r/ICIJZ3XE1atFPDxyL2Tatxdp2TL3cbVqIpMny2lak1LEBAtWKfsL6dKUKCKekv8CvK2Y1qcpInK9nDofCpJ/HpRzvwiOipKciRxr1RJZu9YEml9+KRISkvt3uPbaPPNRlohDRGpm1X12nvLS+Bn+mIgk5Xk8QU59vWxiWpseFdMis19Ke5LMUhUfL7Jvn7trUe4OHzYtt9265bY2PvOMee/VqWOCnrN7/7lHcWMDe5F92gqRkZHBunXrGD16dL7yvn37smLFipLs6rTS09NJT88dhJeQkHCatZVSSlVEBb8LEhMTT7P2hcIP/P+BebfCoOUwA0KnpuF5cgizZ7fklltas25dCn/+2Z2rr47Haj2JSdf8NeCJma/jBuA6oFaxjtipkxlzM3kyfPwxrF9vyoOC4KmnTHrq04+59sFkUPMCNmDGwVwI/DGZ0X7GjOlZjBmYsbHAelUx8/v0y7qtnue5c58npnp1WL0arrvOjHvo3h2aN4d168zzjRrBO++YeYnO3ieYc8ybQnkcMB8znmcg+c+rMHnnNQLzPvsVk2zitqyyLpixWF2z7ncFOpE7JuYCUKmSWS4ytWrB4sUQEgI+WTknHnrIzInVs2fx5vS6EJXotGJiYnA6ndQws2HlqFGjBseOHSu1Sk2cOJHAwMCcJSwsrNT2rZRS6sJQ8LugefPm7q5SKQkBj0Xw3WMwwpRU/dHBZa+25ceZ8/Hy8mPAgC/p0iWKhITFmEH2jTBJDf7EZDOrjbnAfAUzYP70eYVq1zaBzsGDJi31pEmwfz88+2xhQc4yzODwQ3nK3gb2YeZ4uZDUBB7GpH8+hhl9fi0mYByPme8mCpPpbDBQSjmcC2jUCP75x0zlkppqghw/P3j1Vdi69VyDHBsm5fZnmGAYzPthBrAKGI6Zn6c/MB0zWB/MqPy5mMlLr8IEQmnkCsMEenvylF2BSSjwGyaNYE8uqCDnIle/fm6QA1C3rkl+UVGDHChh1rWjR49Sq1YtVqxYQZcuXXLKx48fz9dff82/eVM0FKJnz560bduWt99++7TrFdaic2Fm2lFKKXW2Cn4XHDlyhObNm1ew74LpuF6/B+toJwhkdILFYz/jznvuJSbGTMoZHg7VqgmwA/ML+y+YC9i8X9/1gNWYjFZn6x9M6uT5WY+HAR+ew/5UQU6nCTSPHoUxY8yv7GUnChPsfIN5b2TzxQTKBdNjgwlys2esP4ZJyxxUdlVU6iwVN+taibquVa1aFZvNdkrrTXR09CmtPOfCy8sLr3PNsamUUuqCVvC7oGJ2Y74b69MtcdbshW1oLJ5roNdTQ5n+QQRDHhvLpk1mgvYFCyyEhDQHmmPmqDkG/I4JfMIxX+d551d5D/ML/TWY+WZOZy0mwJmT9dgO3IeZ7FOVJpvNtKKVjxqY1pzhwG5MwPMNpoUmO8hpTP5uaHlbTcumdUup8lSixipPT086dOhAeHh4vvLw8HC6du1aqhVTSimlLg5tsQ3ag/P31uALth3Q94lxfP3qPYSGwrZtZrK/I3nnVyQE+C8m0IkBZpM7niQdeA4z38uOPNs4Chx3I2YcRidMkGMDhmIugj8C6pTiOSr3aowZs7MLMxfRH5hJO3dh5pl5EGiFeQ8oVXGUuFfeqFGj+PTTT/nss8/YsWMHI0eOJCIigmHDhgEwZswYBg8enG+bjRs3snHjRpKSkjh+/DgbN25k+/btpXMGSiml1AWvMrZ+63EsHgRVwHIIrnryS74b04M6dWDXLhPsREQUtq0fZpb4bKmYcTxXAB3zlD8EtMe03twKtMMESlbM+JR/MWNY6pf2yanzhgXznriGc+vmqNSFoURjdLJ98MEHvP7660RGRtKyZUveeustrrjiCgDuueceDhw4wN9//517EMupWUvq1q3LgQMHinW8Ys9+qpRSqsI6fPjwRTFe07X3fSy9H8VyEPCHjf9rwM0f72L/Pht168LChdCgQUn3KphxGUfzlFkwrT4vcOFkUlNKqeLHBmcV6JQ3DXSUUkpdLIEOgESvwNW7O7atLvCEg88E0u/Ho+zc4Uvt2ibYady4pHs9jumy9Acm9fKT5G8JUkqpC0NxY4MKnFBOKaWUujBZqnfF9s8RMi73gQyo+0o8//QJpP1lhzl8GK64AkreA7wacA/wA/A5GuQopSo6DXSUUkqp85FfCJ4L40i5MQQEgt51sOKSOlxz/WKOHTOT/G3e7O5KKqXU+UsDHaWUUup85eGJ709HiR9mkgp4fS385ujJ4yPf5fhxk3p6/Xo311Eppc5TGugopZRS5zOLhcAP1xD30h2IBaxz4K2VjzPt/UGcPCn07g2rV595N0opdbHRQEcppZS6AAT97zsSpr6AeIDlHxg6ZTorZrclMzOJq66C5cvdXUOllDq/aKCjlFJKXSAC//siqT9/icsX2AFdHtvM7tl1CAnZRb9+kGdmB6WUuuhpoKOUUkpdQHwHDMb59yIcwRY4BDUHxrLpnRb06vUr11wD4eHurqFSSp0fNNBRSimlLjAenXpiXbOd9Fp2OAk+tzr49a4beGb0C1x/vYs5c9xdQ6WUcj8NdJRSSqkLkLVhUzzXHyKliR+kAINgbPDL/PjjNdxzTyyzZ7u7hkop5V4a6CillFIXKEv1EHzXRZHQuQZkAo/DgOXzWLmyHS+9tJkffnB3DZVSyn000FFKKaUuZH5+VFp6mLjrmoIAE6Hh+IMsW3wpv/zyLd984+4KKqWUe2igo5RSSl3o7HaCftlO7P1XmMefg+8d6Uz/9C6OHx/J559nurd+SinlBhroKKWUUhWBxULw1MXEjr0LsQBzgJ4wYsjb1K/fhy+/jHJzBZVSqnxpoKOUUkpVIMHjppP00bOIB7AKpCv0bLiY3r07MGPGKndXTymlyo0GOkoppVQFE/DAeNJmfYzLFyz/mmCndtwRbrzxCubNm+ru6imlVLnQQEcppZSqgHyuewDnwjk4K1uwHAa5ArxWZdCv34Ns3nw7cXHzManalFKqYtJARymllKqgPC7rj+WfdWTUtmGJBekPzh+gdesfCArqR2JiDSIihuJ0zgEy3F1dpZQqVRroKKWUUhWYtXE7PNftJ62ZD5YUsN4Jux/3JXpvJQICYqlT53NstgGkplYnPn4I8BuQ5u5qK6XUOdNARymllKroqofhvTqS5M7BWBzQ+N0UqjVJILaphZ13B3F8biV8POMJDPwKuJ6MjOpkZNwNzAZS3Vt3pZQ6SxroKKWUUhcD/0D8lkaReF8nnDUsWJwQvFNo8k0c1a5JICMIDnXz5+Qb/nhGJeLp+Q1wEw5HNUTuAH4EUtx7DkopVQIa6CillFIXC7sHAZ+uxhbpwPHPN5wY3oqMjlbwAc8kCFuRROWnkqAOxNf2IuE+X+zzk7GkzABuw+WqBtwGzACS3HsuSil1BhYREXdX4kwSEhIIDAwkPj6eSpUqubs6Siml3ODw4cOEhYXpd0FpczlJj5hDzE8vUXXZery2uGAvkOfqwGm3kNHJE58b0qEv0AbE4o3F0h+4FbgW0L+JUqp8FDc20EBHKaXUBUEDnXLgyiQ54heiVr1B6Io1eG91wWYgJv9qjspW7Fe7TNDTB6SmJxZLP0xrz3VAUHnXXCl1EdFARymlVIWigU45c6YRt28G0dvfoc7ujXhvFdgCbOfUpGwtMUFPP6C7HXz6Ylp6bgAql2u1lVIVnwY6SimlKhQNdNzIkUz07s+J/fcj6iVsw2sPJujZArIfLHmvJLyAKzCBT18btOoNltuAG4Gq5V51pVTFo4GOUkqpCkUDnfNEZgKHt79P0u7PaJi+B48kYBuwGdI3g1dsgfVDgD5AXwv06QY17gYGALUAS/nWXSlVIWigo5RSqkLRQOf8I2kn2LflTRz7p9Mo8xA2gKPAFji5wYL/Tguema78G7UFegLt/aFdC2jaFeztsp5oCniU4xkopS5EGugopZSqUDTQOb85Uo6wZ+NrWCNmcokryhRmgnMXRKy147nJh1pRiadu6A20AtoB7WzQriG0vhR8OgJtspbg8joNpdQFQAMdpZRSFYoGOheO9IS97NowHu+jv9BYTuaUZ8bBtlU+JG+uQu2YFGpGx+OZ4Tx1B1agGVnBD9CuOrRtD8GdMC0/bYD66HSASl2cNNBRSilVoWigc2FKOrGZ3RvHU+nYXBpaCrTouIBo4EDWchDkAFgSithZKNACk+WttQe0qw9hbcCrPXhcZhaLbxmdiVLqfKGBjlJKqQpFA50L38ljK9mzaSLEb8eaGY89Mwlf0gmyCsE28LBgJiqNA/YDB8kJgDhexE4rAfWAuphGnkZWCPMB72DwrAaeYeAZAp7BuYtXdfCrA751wKsKWDQpglIXkuLGBvZyrJNSSimlLmKVQ7pwaciv+cpEhJOpJ9kad5BDJ3ey9+AuDiTuJa56BI7gI3h1jCbQO4GaadAoEuoehhqHocph8D6a1fqzOWsBwAXeyVA3GeodhrobTCBUi8Kvemxe4BcCvjXBr2bWbSj4hoJfbfPY5o3pJpd3sRRSdqbnLHluVXlJT4foaDh2DKKyho+1bQu1ammMW9FpoKOUUkopt7FYLFTxrUIV3yq0C21vuqUVcOxEKgvXHmahx0E2uSLY43mQ6NAIvHz30SpzL+2SIukY5aJzNDQ5Bh5pwM6sJZsH0ABoiEl5bctavNPB6yB4HzSJEbwxcwF5A56YmMQb8AN8C9xm3/eiRLGLiBXBE/DEknVAi8Uza0deWQcujftFPVeZCz29t8NhgpeoqNwA5tix/Pezb2MLpjzPUq0atG8PHTqY2/btoV49DX4qEu26ppRS6oKgXddUXpmZsHMnbNwIGza6WL0tis0RB0lmP0091tJONtM+fS8dkqJodzKFgNSSH0MsYMkOegoGQXkf+wABmG50QVlLZUyyuKpZSyDgjwmOzoufmQOA5phBT3lvwzhjACQCrgxwpYMz6zbf/Qxwphd932IFz8pZ3Qgr53QpdFl8iTlhOW3Qkn0/JsZUo7jsdqhRA0JCICMDtm8HZyF5MIKDc4Oe7KVRI7Bq3ovzio7RUUopVaFooKPORASOHjXBT95lzx6hvudm2nkvpJ1tFWEcwc+Vhr+k4u9Kxd+Vjr8zLes2A39XRpnW02kDsYEr61as4LKbW7EDWbeS9Ty2rHIbJkgqeGsHiz23zGIvsHiAxWZurXaw+4E1EBOIBWECNA/ABU6HhcxMO85MD8RhQ5xWLC4LNnFhsziwkYmNzDJ5XdIzPYlNDuZkcmVzm2RuCys7mVSZ+NRgbD7BeFcKpko1T0JCcoOZWkHJhNkjqUkkVTIi8UuMxBp1DCIjITERh8VOXJKdE3F2jsfaiTppJ/qknQyXHSc2HNhzFpunneqhdkJq2wmtY6dWXfPY6mk3EVRJF09P8PeHgACzeHqWyetZ9gRwmEUyITEWYmMg9gTExULsSdOcFhcHsVlLXALEJsBrb0DLrmd9ZB2jo5RSSqmLisVixl3UqgUDBuSWJyZa2LKlDRs3tmHDBlh51IzbSEs79TYtDTLSXFjTUvDMTMKf0y+BljhqeEdR3Suaqh4nCLLGUsmaiJ8k4+1KwyMzE2u6QBomyxxgcwKFtCa4lTcQCLZKgi0wEwIzTQAUmLXkve9DvkafTBdkiIV0l40Ml5V0p510p50Mp510hycZDg/SHV6kZ3qTkemFzWIh2DuRYJ8kKvskEeydhIfNiZdHBiFBUYQERRVeRwGSgFggHpO0ImtxxlmRCAvEgTXWhTXt9L/j28ltbGtyptcmg9zMgGWhYODj7w8B/hDgB/4+iL83EuCF+HuCvyfib0cC7Ii/Nc8CEmBB/AW8HGBJw7zp0oB0IB1LVpnV4sDTZsFqcQGZ5AQrjkyISzdLbAbEZpolzgGxWUucC2KzljjM3yIWc99V2MkVLmXoInzPIdAprrMKdD744AMmTZpEZGQkLVq04O2336Z79+5Frr948WJGjRrFtm3bCA0N5emnn2bYsGFnXWmllFJKqeIKCICuXc1SPFbAH5fLn4yMUwOhwoKjtHTYU+h6gjXzJL5ykEqufVR27cbXeQKcLqxOF7hcWBxOLC4XVocTi8uZ85zF5cLiNGVWlyur3KxrnnNhcznzrGe2s2aVmVsnFpcDiziwZt16ZGbgnZyKb2oqfilp2J2u3GviImKMfLyA6mZxVIO4QDjmIxzwdvCvFTZLBpuAY35wwhdcebt9ZQdI2ceLBbsTGiRD4xRomAx1kqFWIoQkQbVECE6EgATwTcgKEgthK+wq24vcroSBee77Yi7KXZDhgOSsJTVrSXNCuhMyzZ+CrD8TImAV8BTwEPB0mVsPF9hdYJes26zFlr04c2+tTrBlgC0ZbOlZ9czIgJMnzVIICyUcTWXHdJMMyHMbkOexndzgJG+gUsh8viXmBRIMEmhBAi24Aq04A2w4K9lwBNhx+NvJ9LcT5dWENqVwuDMpcaAzY8YMRowYwQcffEC3bt34+OOP6d+/P9u3b6dOnTqnrL9//36uueYa7r//fqZPn87y5ct5+OGHqVatGrfcckupnIRSSimlVGmzWsHb2yxnzwJUyVral0q9SpUIJCSYgS9RUbkj/PPdPwbRRyDqOCSmmgaCQ2axA9WyllbAdQV3b4X0YDsJgZ7E+HtyxNdOukWoGp9J1fhMqiRkEpjkwFqCgRQpgXaSK3uQWtVOalU7mVVtuKpYoYoFqoC1MtiCBU9vJ54uJ15OJx4OJx5OJ3aHC1umE3uGC4uQlRLC9OIrFiv5cz14n+G+J0XPa5sJJGMCjOwl6dTHkgCOeHAmgiSax9nPWZLAlgS2FLBlj0NzkNvadRZSvCHBFxJ9Id4XEnwg3hvifCDOw5NYmx8nLZU4KUGcdFYlxhHCiYxQjqeFkZxcG1KqwYkqcLgqXq7KeHva8PQEL6/c5aOi20dKVYnH6Fx22WW0b9+eDz/8MKesWbNm3HjjjUycOPGU9Z955hl+/fVXduzYkVM2bNgwNm3axMqVK4t1TB2jo5RSSsfoKHUeSE3NDYCiIyFqK0Rth+j9EHUEok5AdApECZzAdDcrDjtQA6iZtYTkuZ/3cQ1MAHGusoeXZPfsyu3hVfR9x1kcRiDF6UOSw5fETH/iM/xJdnhjyWpRsgBWcWFFsCLYLE5suLBZXNgsTuxWBx42Bx5WB572TDxsmXjYHHjaM/C0Fxgr5cqqb2pWfVPJbTlLy/PYxanZA/NmEbSBQyykZy2pIqS6XKQJ+ZZUF6eUpQmk5SlPF7DY/fD0DMDLMxBvryB8vIK5utMztArrWfIXNEuZjNHJyMhg3bp1jB49Ol953759WbFiRaHbrFy5kr59++Yr69evH9OmTSMzMxMPD49TtklPTyc9PT3ncUJCUVMkK6WUqqgKfhckJpZGvwql1Dnx8YG6dc0CwA2FrOQA9oNjM8SshahNEL0LoiIgKtO0ZBQMZKpQoOXDg6KbTs60FGNdiw94eIOHFwTkTaNXWI7xrIo5UiH9uFnSYvLcP17gftZzGbFYLOBnT8XPnkoN7xNn+6oXjxXE1wr+HlisnmD1yLNkPbZ4mMFsznRwpoErzdw600xWvCx2i2C3CH6lUrHkrOWYCTDTYH305XAOgU5xlSjQiYmJwel0UqNGjXzlNWrU4NixY4Vuc+zYsULXdzgcxMTEULNmzVO2mThxIi+++GJJqqaUUqqC0e8CpS5UdqAx2BtDyC0mqAFMBoZ9wHFOH4ycrr+XG9l9wF4H/E4dqlEoVyaknygQDMXgykzCWjAAKRiMnC5QsXlmrVNgPYsHFqvt7M9PXLlBT8Eg6LTlqYU+53KkkJGZSGZGAo7MZJyOZMSZAo5UalUpZMKsMnBWyQgsBWZSEpFTys60fmHl2caMGcOoUaNyHickJBAWFnY2VVVKKXWBKvhdcOTIEZo3b+7GGimlzo0NaJy1XASsHuATYpa8xW6qzhlZrGD3NUspsJLbPuYuJQp0qlatis1mO6X1Jjo6+pRWm2whISGFrm+326lSpUqh23h5eeHlVRodMJVSSl2oCn4XaDdmpZRSJVGioNLT05MOHToQHh6erzw8PJyuReRs7NKlyynrz58/n44dOxY6PkcppZRSSimlzlWJW89GjRrFp59+ymeffcaOHTsYOXIkEREROfPijBkzhsGDB+esP2zYMA4ePMioUaPYsWMHn332GdOmTePJJ58svbNQSimllFJKqTxKPEZn4MCBnDhxgpdeeonIyEhatmzJnDlzqJuVfSMyMpKIiIic9evXr8+cOXMYOXIk77//PqGhobz77rs6h45SSimllFKqzJR4Hh130Hl0lFJK6Tw6SimloPixwXmb+EEppZRSSimlzpYGOkoppZRSSqkKRwMdpZRSSimlVIWjgY5SSimllFKqwtFARymllFJKKVXhaKCjlFJKKaWUqnA00FFKKaWUUkpVOBroKKWUUkoppSocDXSUUkoppZRSFY7d3RUoDhEBzCyoSimlLk7Z3wH6XaCUUhe37O+B7BihKBdEoJOYmAhAWFiYm2uilFLK3fS7QCmlFJgYITAwsMjnLXKmUOg84HK5OHr0KAEBAVgslrPaR0JCAmFhYRw6dIhKlSqVcg3PL3quFdPFcq4Xy3mCnmtJOZ1O9uzZQ6NGjbDZbG6ty4VMz1/PX89fz/9CP38RITExkdDQUKzWokfiXBAtOlarldq1a5fKvipVqnRB/2FLQs+1YrpYzvViOU/Qcy2JTp06nTd1udDp+ev56/nr+V/ITteSk02TESillFJKKaUqHA10lFJKKaWUUhXORRPoeHl5MXbsWLy8vNxdlTKn51oxXSznerGcJ+i5al3cQ89fz1/PX8//Yjn/CyIZgVJKKaWUUkqVxEXToqOUUkoppZS6eGigo5RSSimllKpwNNBRSimllFJKVTga6CillFJKKaUqnIsm0Pnggw+oX78+3t7edOjQgaVLl7q7SqVuyZIlXHfddYSGhmKxWJg9e7a7q1QmJk6cSKdOnQgICKB69erceOON7Ny5093VKhMffvghrVu3zpnYq0uXLsydO9fd1SoXEydOxGKxMGLECHdXpdSNGzcOi8WSbwkJCXF3tcrEkSNHuPvuu6lSpQq+vr60bduWdevWua0+F8N3QVEups/OM6nIny+nc779P5Ynh8PB888/T/369fHx8aFBgwa89NJLuFwud1etTJzpmlBEGDduHKGhofj4+NCzZ0+2bdvmnsqWoYsi0JkxYwYjRozgueeeY8OGDXTv3p3+/fsTERHh7qqVquTkZNq0acOUKVPcXZUytXjxYh555BH++ecfwsPDcTgc9O3bl+TkZHdXrdTVrl2bV199lbVr17J27Vp69erFDTfcUCE/jPJas2YNU6dOpXXr1u6uSplp0aIFkZGROcuWLVvcXaVSFxsbS7du3fDw8GDu3Lls376dN998k6CgILfU52L5LijKxfTZeToXw+dLYc63/8fy9tprr/HRRx8xZcoUduzYweuvv86kSZN477333F21MnGma8LXX3+dyZMnM2XKFNasWUNISAh9+vQhMTGxnGtaxuQicOmll8qwYcPylTVt2lRGjx7tphqVPUB+/vlnd1ejXERHRwsgixcvdndVykVwcLB8+umn7q5GmUlMTJTGjRtLeHi49OjRQx5//HF3V6nUjR07Vtq0aePuapS5Z555Ri6//HJ3VyPHxfhdcDoX22enyMXx+VKU8+3/sbwNGDBAhg4dmq/s5ptvlrvvvttNNSo/Ba8JXS6XhISEyKuvvppTlpaWJoGBgfLRRx+5oYZlp8K36GRkZLBu3Tr69u2br7xv376sWLHCTbVSpSk+Ph6AypUru7kmZcvpdPL999+TnJxMly5d3F2dMvPII48wYMAArrrqKndXpUzt3r2b0NBQ6tevzx133MG+ffvcXaVS9+uvv9KxY0duu+02qlevTrt27fjkk0/cUhf9LjjVxfLZmdfF8vlSmPPp/9EdLr/8cv766y927doFwKZNm1i2bBnXXHONm2tW/vbv38+xY8fyfR56eXnRo0ePCvd5aHd3BcpaTEwMTqeTGjVq5CuvUaMGx44dc1OtVGkREUaNGsXll19Oy5Yt3V2dMrFlyxa6dOlCWloa/v7+/PzzzzRv3tzd1SoT33//PevXr2fNmjXurkqZuuyyy/jqq6+45JJLiIqK4pVXXqFr165s27aNKlWquLt6pWbfvn18+OGHjBo1imeffZbVq1czfPhwvLy8GDx4cLnWRb8L8rsYPjsLulg+X4pyPv0/usMzzzxDfHw8TZs2xWaz4XQ6GT9+PP/5z3/cXbVyl/2ZV9jn4cGDB91RpTJT4QOdbBaLJd9jETmlTF14Hn30UTZv3syyZcvcXZUy06RJEzZu3EhcXByzZs1iyJAhLF68uMIFO4cOHeLxxx9n/vz5eHt7u7s6Zap///4591u1akWXLl1o2LAhX375JaNGjXJjzUqXy+WiY8eOTJgwAYB27dqxbds2PvzwQ7ddWOl3gXExfHbmdTF9vhTlfPx/LE8zZsxg+vTpfPvtt7Ro0YKNGzcyYsQIQkNDGTJkiLur5xYXw+dhhe+6VrVqVWw22ym/2EVHR58SyaoLy2OPPcavv/7KokWLqF27trurU2Y8PT1p1KgRHTt2ZOLEibRp04Z33nnH3dUqdevWrSM6OpoOHTpgt9ux2+0sXryYd999F7vdjtPpdHcVy4yfnx+tWrVi9+7d7q5KqapZs+YpAXmzZs3cMvhfvwtyXSyfnXldzJ8v2c6n/0d3eOqppxg9ejR33HEHrVq1YtCgQYwcOZKJEye6u2rlLjvL58XweVjhAx1PT086dOhAeHh4vvLw8HC6du3qplqpcyEiPProo/z0008sXLiQ+vXru7tK5UpESE9Pd3c1Sl3v3r3ZsmULGzduzFk6duzIXXfdxcaNG7HZbO6uYplJT09nx44d1KxZ091VKVXdunU7JX3xrl27qFu3brnXRb8LLu7Pzov58yXb+fT/6A4pKSlYrfkve202W4VNL3069evXJyQkJN/nYUZGBosXL65wn4cXRde1UaNGMWjQIDp27EiXLl2YOnUqERERDBs2zN1VK1VJSUns2bMn5/H+/fvZuHEjlStXpk6dOm6sWel65JFH+Pbbb/nll18ICAjI+UUiMDAQHx8fN9eudD377LP079+fsLAwEhMT+f777/n777/5888/3V21UhcQEHDKWAE/Pz+qVKlS4cYQPPnkk1x33XXUqVOH6OhoXnnlFRISEipc94mRI0fStWtXJkyYwO23387q1auZOnUqU6dOdUt9LpbvgqJcTJ+dBV1Mny9FOd/+H8vbddddx/jx46lTpw4tWrRgw4YNTJ48maFDh7q7amXiTNeEI0aMYMKECTRu3JjGjRszYcIEfH19ufPOO91Y6zLgvoRv5ev999+XunXriqenp7Rv375CptNctGiRAKcsQ4YMcXfVSlVh5wjI559/7u6qlbqhQ4fmvG+rVasmvXv3lvnz57u7WuWmoqZ/HThwoNSsWVM8PDwkNDRUbr75Ztm2bZu7q1UmfvvtN2nZsqV4eXlJ06ZNZerUqW6tz8XwXVCUi+mzszgq6ufL6Zxv/4/lKSEhQR5//HGpU6eOeHt7S4MGDeS5556T9PR0d1etTJzpmtDlcsnYsWMlJCREvLy85IorrpAtW7a4t9JlwCIiUp6BlVJKKaWUUkqVtQo/RkcppZRSSil18dFARymllFJKKVXhaKCjlFJKKaWUqnA00FFKKaWUUkpVOBroKKWUUkoppSocDXSUUkoppZRSFY4GOkoppZRSSqkKRwMdpZRSSimlVIWjgY5SSimllFKqwtFARymllFJKKVXhaKCjlFJKKaWUqnA00FFKKaWUUkpVOP8HYgcrFTvI2p0AAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"code","source":"# Print the average accuracy across all folds\nprint(f'Average accuracy: {np.mean(acc_per_fold)}')\nprint(f'Standard deviation in accuracy: {np.std(acc_per_fold)}')","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:39.398955Z","iopub.execute_input":"2023-04-16T08:30:39.399664Z","iopub.status.idle":"2023-04-16T08:30:39.405619Z","shell.execute_reply.started":"2023-04-16T08:30:39.399624Z","shell.execute_reply":"2023-04-16T08:30:39.404488Z"},"trusted":true},"execution_count":20,"outputs":[{"name":"stdout","text":"Average accuracy: 0.9684240102767945\nStandard deviation in accuracy: 0.0039655875345529935\n","output_type":"stream"}]},{"cell_type":"code","source":"def display_confusion_matrices(metrics_list, class_labels, k=5):\n    n_models = min(k, len(metrics_list))\n    \n    if n_models == 1:\n        fig, ax = plt.subplots(1, n_models, figsize=(5 * n_models, 5))\n        axes = [ax]\n    else:\n        fig, axes = plt.subplots(1, n_models, figsize=(5 * n_models, 5))\n    \n    for i in range(n_models):\n        metrics = metrics_list[i]\n        confusion_matrix = metrics['confusion_matrix']\n        sns.heatmap(confusion_matrix, annot=True, fmt='d', xticklabels=class_labels, yticklabels=class_labels, ax=axes[i])\n        axes[i].set_xlabel('Predicted label')\n        axes[i].set_ylabel('True label')\n        axes[i].set_title(f'Model {i+1}')\n    \n    plt.show()\n    \n    return\n    \nclass_labels = ['class 1', 'class 2', 'class 3']\ndisplay_confusion_matrices(metrics_per_fold, class_labels)","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:39.407370Z","iopub.execute_input":"2023-04-16T08:30:39.408234Z","iopub.status.idle":"2023-04-16T08:30:40.790477Z","shell.execute_reply.started":"2023-04-16T08:30:39.408192Z","shell.execute_reply":"2023-04-16T08:30:40.789398Z"},"trusted":true},"execution_count":21,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 2500x500 with 10 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"def print_metrics_per_fold(metrics_per_fold):\n    for i, metrics in enumerate(metrics_per_fold):\n        print(f'------------------------------- FOLD {i+1} -------------------------------')\n        for metric_name, metric_value in metrics.items():\n            if(metric_name == 'classification_report' or metric_name == 'confusion_matrix'):\n                print(f'  {metric_name}:')\n                print(f'  {metric_value}')\n            else:\n                print(f'  {metric_name}: {metric_value}')\n\n    return\nprint_metrics_per_fold(metrics_per_fold)","metadata":{"execution":{"iopub.status.busy":"2023-04-16T08:30:40.792236Z","iopub.execute_input":"2023-04-16T08:30:40.792980Z","iopub.status.idle":"2023-04-16T08:30:40.805370Z","shell.execute_reply.started":"2023-04-16T08:30:40.792937Z","shell.execute_reply":"2023-04-16T08:30:40.802692Z"},"trusted":true},"execution_count":22,"outputs":[{"name":"stdout","text":"------------------------------- FOLD 1 -------------------------------\n  accuracy: 0.9637030995106036\n  classification_report:\n                precision    recall  f1-score   support\n\n     class 1       0.93      0.94      0.93       577\n     class 2       0.99      0.96      0.97      1145\n     class 3       0.95      0.99      0.97       730\n\n    accuracy                           0.96      2452\n   macro avg       0.96      0.96      0.96      2452\nweighted avg       0.96      0.96      0.96      2452\n\n  f1_weighted: 0.9637992023651047\n  f1_macro: 0.95969745312063\n  f1_micro: 0.9637030995106036\n  precision_weighted: 0.9644392179140832\n  precision_macro: 0.956711133013134\n  precision_micro: 0.9637030995106036\n  recall_weighted: 0.9637030995106036\n  recall_macro: 0.9631880283070258\n  recall_micro: 0.9637030995106036\n  roc_auc_ovr_macro: 0.997220361809909\n  roc_auc_ovr_weighted: 0.9976359932995571\n  roc_auc_ovo_macro: 0.9971053040268995\n  roc_auc_ovo_weighted: 0.997252464465064\n  matthews_corrcoef: 0.9436795379644786\n  log_loss: 0.12703818066542746\n  confusion_matrix:\n  [[ 543    8   26]\n [  36 1097   12]\n [   6    1  723]]\n  cohen_kappa: 0.9433594637125314\n  jaccard_weighted: 0.9305986164721766\n  jaccard_macro: 0.9230780535019493\n  jaccard_micro: 0.9299488390397481\n  hamming_loss: 0.03629690048939641\n  balanced_accuracy: 0.9631880283070258\n------------------------------- FOLD 2 -------------------------------\n  accuracy: 0.9751121991024072\n  classification_report:\n                precision    recall  f1-score   support\n\n     class 1       0.96      0.94      0.95       547\n     class 2       0.98      0.99      0.98      1149\n     class 3       0.98      0.98      0.98       755\n\n    accuracy                           0.98      2451\n   macro avg       0.97      0.97      0.97      2451\nweighted avg       0.98      0.98      0.98      2451\n\n  f1_weighted: 0.9750173244618884\n  f1_macro: 0.971617762097062\n  f1_micro: 0.9751121991024072\n  precision_weighted: 0.9750317104187454\n  precision_macro: 0.9737469940421404\n  precision_micro: 0.9751121991024072\n  recall_weighted: 0.9751121991024072\n  recall_macro: 0.9696313029237045\n  recall_micro: 0.9751121991024072\n  roc_auc_ovr_macro: 0.9978754924545578\n  roc_auc_ovr_weighted: 0.9980003529026633\n  roc_auc_ovo_macro: 0.9977671197039951\n  roc_auc_ovo_weighted: 0.997841078430669\n  matthews_corrcoef: 0.9608092814244698\n  log_loss: 0.118266736435385\n  confusion_matrix:\n  [[ 513   22   12]\n [  12 1134    3]\n [   7    5  743]]\n  cohen_kappa: 0.9607594830396329\n  jaccard_weighted: 0.951558307500499\n  jaccard_macro: 0.9451937344163492\n  jaccard_micro: 0.9514331210191083\n  hamming_loss: 0.024887800897592818\n  balanced_accuracy: 0.9696313029237045\n------------------------------- FOLD 3 -------------------------------\n  accuracy: 0.9657282741738066\n  classification_report:\n                precision    recall  f1-score   support\n\n     class 1       0.98      0.89      0.93       613\n     class 2       0.96      0.99      0.98      1106\n     class 3       0.96      0.99      0.97       732\n\n    accuracy                           0.97      2451\n   macro avg       0.97      0.96      0.96      2451\nweighted avg       0.97      0.97      0.97      2451\n\n  f1_weighted: 0.9652366532419038\n  f1_macro: 0.9614061743016294\n  f1_micro: 0.9657282741738066\n  precision_weighted: 0.9661009899064995\n  precision_macro: 0.9675553674070311\n  precision_micro: 0.9657282741738066\n  recall_weighted: 0.9657282741738066\n  recall_macro: 0.9569037173597966\n  recall_micro: 0.9657282741738066\n  roc_auc_ovr_macro: 0.997710947786926\n  roc_auc_ovr_weighted: 0.9979272987437734\n  roc_auc_ovo_macro: 0.9974665754611453\n  roc_auc_ovo_weighted: 0.9976547948381802\n  matthews_corrcoef: 0.9471505552669625\n  log_loss: 0.14277824331199795\n  confusion_matrix:\n  [[ 546   39   28]\n [   7 1099    0]\n [   5    5  722]]\n  cohen_kappa: 0.9465540242184379\n  jaccard_weighted: 0.9334427190321609\n  jaccard_macro: 0.9264173913043479\n  jaccard_micro: 0.9337278106508876\n  hamming_loss: 0.03427172582619339\n  balanced_accuracy: 0.9569037173597966\n------------------------------- FOLD 4 -------------------------------\n  accuracy: 0.9702162382700938\n  classification_report:\n                precision    recall  f1-score   support\n\n     class 1       0.93      0.94      0.94       543\n     class 2       0.98      0.98      0.98      1173\n     class 3       0.98      0.98      0.98       735\n\n    accuracy                           0.97      2451\n   macro avg       0.97      0.97      0.97      2451\nweighted avg       0.97      0.97      0.97      2451\n\n  f1_weighted: 0.9702680038233422\n  f1_macro: 0.9656793978326249\n  f1_micro: 0.9702162382700938\n  precision_weighted: 0.970339331696523\n  precision_macro: 0.965229521339794\n  precision_micro: 0.9702162382700938\n  recall_weighted: 0.9702162382700938\n  recall_macro: 0.9661558786377871\n  recall_micro: 0.9702162382700938\n  roc_auc_ovr_macro: 0.9971770631473236\n  roc_auc_ovr_weighted: 0.9974308560616947\n  roc_auc_ovo_macro: 0.9970564087059545\n  roc_auc_ovo_weighted: 0.997155706375364\n  matthews_corrcoef: 0.9528979145632286\n  log_loss: 0.15076474988930152\n  confusion_matrix:\n  [[ 512   19   12]\n [  25 1148    0]\n [  12    5  718]]\n  cohen_kappa: 0.9528900565246652\n  jaccard_weighted: 0.9427932479105056\n  jaccard_macro: 0.9343336645634768\n  jaccard_micro: 0.9421553090332805\n  hamming_loss: 0.029783761729906162\n  balanced_accuracy: 0.9661558786377871\n------------------------------- FOLD 5 -------------------------------\n  accuracy: 0.9673602611179111\n  classification_report:\n                precision    recall  f1-score   support\n\n     class 1       0.91      0.95      0.93       552\n     class 2       0.98      0.98      0.98      1131\n     class 3       0.99      0.96      0.97       768\n\n    accuracy                           0.97      2451\n   macro avg       0.96      0.96      0.96      2451\nweighted avg       0.97      0.97      0.97      2451\n\n  f1_weighted: 0.967553919291059\n  f1_macro: 0.9621813054832099\n  f1_micro: 0.9673602611179111\n  precision_weighted: 0.9681205840215213\n  precision_macro: 0.9608880643031211\n  precision_micro: 0.9673602611179111\n  recall_weighted: 0.9673602611179111\n  recall_macro: 0.9639572241123028\n  recall_micro: 0.9673602611179111\n  roc_auc_ovr_macro: 0.9974414318909438\n  roc_auc_ovr_weighted: 0.9978287982973747\n  roc_auc_ovo_macro: 0.9970744670733543\n  roc_auc_ovo_weighted: 0.9973784051061132\n  matthews_corrcoef: 0.9490809318288609\n  log_loss: 0.1290529490873977\n  confusion_matrix:\n  [[ 527   17    8]\n [  20 1110    1]\n [  30    4  734]]\n  cohen_kappa: 0.9489256890655964\n  jaccard_weighted: 0.9377776133735081\n  jaccard_macro: 0.927871964572546\n  jaccard_micro: 0.9367838798893718\n  hamming_loss: 0.032639738882088945\n  balanced_accuracy: 0.9639572241123028\n","output_type":"stream"}]}]}