source-code.ipynb

{"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"sourceId":71485,"databundleVersionId":8059942,"sourceType":"competition"}],"dockerImageVersionId":30733,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false},"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.10.13","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":"markdown","source":"## Import TensorFlow and Setup GPU Devices","metadata":{}},{"cell_type":"code","source":"import tensorflow as tf\n\n# Ensure TensorFlow sees the GPUs\nphysical_devices = tf.config.list_physical_devices('GPU')\nif len(physical_devices) > 0:\n    for device in physical_devices:\n        tf.config.experimental.set_memory_growth(device, True)\n    print(f'{len(physical_devices)} Physical GPUs detected')\nelse:\n    print(\"No GPUs available, using CPU instead\")\n","metadata":{"execution":{"iopub.status.busy":"2024-06-28T13:57:09.165360Z","iopub.execute_input":"2024-06-28T13:57:09.165918Z","iopub.status.idle":"2024-06-28T13:57:21.681621Z","shell.execute_reply.started":"2024-06-28T13:57:09.165890Z","shell.execute_reply":"2024-06-28T13:57:21.680671Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stderr","text":"2024-06-28 13:57:10.980070: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n2024-06-28 13:57:10.980165: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n2024-06-28 13:57:11.126673: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","output_type":"stream"},{"name":"stdout","text":"1 Physical GPUs detected\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## Import Libraries","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nfrom tensorflow.keras.preprocessing.text import Tokenizer\nfrom tensorflow.keras.preprocessing.sequence import pad_sequences\nfrom tensorflow.keras.models import Model\nfrom tensorflow.keras.layers import Input, Embedding, LSTM, Dense, Attention, Bidirectional, Dropout, TimeDistributed\nfrom tensorflow.keras.utils import plot_model\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.model_selection import train_test_split\nimport matplotlib.pyplot as plt","metadata":{"execution":{"iopub.status.busy":"2024-06-28T13:57:32.599688Z","iopub.execute_input":"2024-06-28T13:57:32.600298Z","iopub.status.idle":"2024-06-28T13:57:33.026785Z","shell.execute_reply.started":"2024-06-28T13:57:32.600269Z","shell.execute_reply":"2024-06-28T13:57:33.026012Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"markdown","source":"## Data Preprocessing","metadata":{}},{"cell_type":"code","source":"# Load data from CSV files\ntrain_df = pd.read_csv('/kaggle/input/learning-agency-lab-automated-essay-scoring-2/train.csv')\ntest_df = pd.read_csv('/kaggle/input/learning-agency-lab-automated-essay-scoring-2/test.csv')\n\n# Preprocess text data\ntokenizer = Tokenizer()\ntokenizer.fit_on_texts(train_df['full_text'])\nX_train_seq = tokenizer.texts_to_sequences(train_df['full_text'])\nX_test_seq = tokenizer.texts_to_sequences(test_df['full_text'])\n\nmax_len = 1000\nvocab_size = len(tokenizer.word_index) + 1\n\nX_train_pad = pad_sequences(X_train_seq, maxlen=max_len)\nX_test_pad = pad_sequences(X_test_seq, maxlen=max_len)\n\nscaler = StandardScaler()\ny_train_scaled = scaler.fit_transform(train_df['score'].values.reshape(-1, 1)).flatten()\n\n# Split training data into train and validation sets\nX_train, X_val, y_train, y_val = train_test_split(X_train_pad, y_train_scaled, test_size=0.2, random_state=42)","metadata":{"execution":{"iopub.status.busy":"2024-06-28T13:57:38.007710Z","iopub.execute_input":"2024-06-28T13:57:38.008156Z","iopub.status.idle":"2024-06-28T13:57:48.628840Z","shell.execute_reply.started":"2024-06-28T13:57:38.008117Z","shell.execute_reply":"2024-06-28T13:57:48.628064Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"markdown","source":"## Define and Compile Model","metadata":{}},{"cell_type":"code","source":"def lstm_attention_model(max_len, vocab_size, embedding_dim=256):\n    inputs = Input(shape=(max_len,))\n    embedding_layer = Embedding(input_dim=vocab_size, output_dim=embedding_dim)(inputs)\n    \n    lstm_out = Bidirectional(LSTM(128, return_sequences=True))(embedding_layer)\n    attention = Attention()([lstm_out, lstm_out])\n    attention = Dropout(0.25)(attention)\n    \n    lstm_out = LSTM(64)(attention)\n    outputs = Dense(1, activation='tanh')(lstm_out)\n    model = Model(inputs=inputs, outputs=outputs)\n    return model\n\n# Create the model within a strategy scope for GPU usage\nstrategy = tf.distribute.MirroredStrategy()\n\nwith strategy.scope():\n    model = lstm_attention_model(max_len, vocab_size, embedding_dim=256)\n    model.compile(optimizer='adam', loss='mse')","metadata":{"execution":{"iopub.status.busy":"2024-06-28T13:57:53.094313Z","iopub.execute_input":"2024-06-28T13:57:53.094962Z","iopub.status.idle":"2024-06-28T13:57:54.107196Z","shell.execute_reply.started":"2024-06-28T13:57:53.094929Z","shell.execute_reply":"2024-06-28T13:57:54.106278Z"},"trusted":true},"execution_count":4,"outputs":[]},{"cell_type":"markdown","source":"## Save Block Diagram of the Model","metadata":{}},{"cell_type":"code","source":"print(\"\\n# Model Summary\\n\")\nprint(model.summary())\n\nprint(\"\\n\\n# Block Diagram\\n\")\nplot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)","metadata":{"execution":{"iopub.status.busy":"2024-06-28T13:57:59.392960Z","iopub.execute_input":"2024-06-28T13:57:59.393620Z","iopub.status.idle":"2024-06-28T13:57:59.957938Z","shell.execute_reply.started":"2024-06-28T13:57:59.393589Z","shell.execute_reply":"2024-06-28T13:57:59.957055Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"\n# Model Summary\n\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_1\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_1\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)       \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m   Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to     \u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1000\u001b[0m)      │          \u001b[38;5;34m0\u001b[0m │ -                 │\n│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ embedding           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1000\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m17,523,712\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n│ (\u001b[38;5;33mEmbedding\u001b[0m)         │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ bidirectional       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1000\u001b[0m, \u001b[38;5;34m256\u001b[0m) │    \u001b[38;5;34m394,240\u001b[0m │ embedding[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n│ (\u001b[38;5;33mBidirectional\u001b[0m)     │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ attention           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1000\u001b[0m, \u001b[38;5;34m256\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ bidirectional[\u001b[38;5;34m0\u001b[0m]… │\n│ (\u001b[38;5;33mAttention\u001b[0m)         │                   │            │ bidirectional[\u001b[38;5;34m0\u001b[0m]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dropout (\u001b[38;5;33mDropout\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1000\u001b[0m, \u001b[38;5;34m256\u001b[0m) │          \u001b[38;5;34m0\u001b[0m │ attention[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ lstm_1 (\u001b[38;5;33mLSTM\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)        │     \u001b[38;5;34m82,176\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]     │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense (\u001b[38;5;33mDense\u001b[0m)       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)         │         \u001b[38;5;34m65\u001b[0m │ lstm_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)        </span>┃<span style=\"font-weight: bold\"> Output Shape      </span>┃<span style=\"font-weight: bold\">    Param # </span>┃<span style=\"font-weight: bold\"> Connected to      </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n│ input_layer         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1000</span>)      │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                 │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ embedding           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1000</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">17,523,712</span> │ input_layer[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>)         │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ bidirectional       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1000</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │    <span style=\"color: #00af00; text-decoration-color: #00af00\">394,240</span> │ embedding[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Bidirectional</span>)     │                   │            │                   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ attention           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1000</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ bidirectional[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Attention</span>)         │                   │            │ bidirectional[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1000</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │          <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ attention[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ lstm_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)        │     <span style=\"color: #00af00; text-decoration-color: #00af00\">82,176</span> │ dropout[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]     │\n├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">65</span> │ lstm_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m18,000,193\u001b[0m (68.67 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">18,000,193</span> (68.67 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m18,000,193\u001b[0m (68.67 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">18,000,193</span> (68.67 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n</pre>\n"},"metadata":{}},{"name":"stdout","text":"None\n\n\n# Block Diagram\n\n","output_type":"stream"},{"execution_count":5,"output_type":"execute_result","data":{"image/png":"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","text/plain":"<IPython.core.display.Image object>"},"metadata":{}}]},{"cell_type":"markdown","source":"## Define Callbacks","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau\n\n# Define callbacks\nearly_stopping= EarlyStopping(monitor='val_loss', patience=3, restore_best_weights=True)\ncheckpoint = ModelCheckpoint('best_model1.keras', monitor='val_loss', save_best_only=True)\nreduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.2, patience=3, min_lr=0.0001)","metadata":{"execution":{"iopub.status.busy":"2024-06-28T13:58:35.008676Z","iopub.execute_input":"2024-06-28T13:58:35.009516Z","iopub.status.idle":"2024-06-28T13:58:35.016513Z","shell.execute_reply.started":"2024-06-28T13:58:35.009481Z","shell.execute_reply":"2024-06-28T13:58:35.015533Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"markdown","source":"## Train the Model & Plot Training History","metadata":{}},{"cell_type":"code","source":"history = model.fit(X_train, y_train, validation_data=(X_val, y_val),\n                    epochs=20, batch_size=128, verbose=1, shuffle=True, callbacks=[early_stopping, checkpoint, reduce_lr])","metadata":{"execution":{"iopub.status.busy":"2024-06-28T13:59:10.315196Z","iopub.execute_input":"2024-06-28T13:59:10.315550Z","iopub.status.idle":"2024-06-28T14:02:20.420998Z","shell.execute_reply.started":"2024-06-28T13:59:10.315523Z","shell.execute_reply":"2024-06-28T14:02:20.420143Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"Epoch 1/20\n\u001b[1m109/109\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m43s\u001b[0m 349ms/step - loss: 0.6352 - val_loss: 0.5023 - learning_rate: 0.0010\nEpoch 2/20\n\u001b[1m109/109\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m37s\u001b[0m 342ms/step - loss: 0.4437 - val_loss: 0.3950 - learning_rate: 0.0010\nEpoch 3/20\n\u001b[1m109/109\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 333ms/step - loss: 0.3199 - val_loss: 0.4131 - learning_rate: 0.0010\nEpoch 4/20\n\u001b[1m109/109\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 333ms/step - loss: 0.2798 - val_loss: 0.4219 - learning_rate: 0.0010\nEpoch 5/20\n\u001b[1m109/109\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 333ms/step - loss: 0.2362 - val_loss: 0.4196 - learning_rate: 0.0010\n","output_type":"stream"}]},{"cell_type":"code","source":"def plot_training_history(history):\n    plt.figure(figsize=(10, 6))\n    plt.plot(history.history['loss'], label='Train Loss')\n    plt.plot(history.history['val_loss'], label='Val Loss')\n    plt.title('Model Loss')\n    plt.xlabel('Epochs')\n    plt.ylabel('Loss')\n    plt.legend()\n    plt.grid(True)\n    plt.show()\n\nplot_training_history(history)","metadata":{"execution":{"iopub.status.busy":"2024-06-28T14:02:33.393466Z","iopub.execute_input":"2024-06-28T14:02:33.394155Z","iopub.status.idle":"2024-06-28T14:02:33.729851Z","shell.execute_reply.started":"2024-06-28T14:02:33.394110Z","shell.execute_reply":"2024-06-28T14:02:33.728991Z"},"trusted":true},"execution_count":8,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x600 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAA1YAAAIjCAYAAAAAxIqtAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACUI0lEQVR4nOzdd3gUZdvG4d/upveEkAKE3jvSq/QqIr0pUlWUV3mx8qmIyCt2sYJSBaVIEQtdOiT03luoIQESUoHU/f4IRCMBKRk25TqPYw+yszP73PsQMVdm5n5MVqvVioiIiIiIiNw3s60LEBERERERye0UrERERERERB6QgpWIiIiIiMgDUrASERERERF5QApWIiIiIiIiD0jBSkRERERE5AEpWImIiIiIiDwgBSsREREREZEHpGAlIiIiIiLygBSsREQkXzCZTIwePfqejzt16hQmk4np06dne00iIpJ3KFiJiMhDM336dEwmEyaTiY0bN97yutVqJSgoCJPJxGOPPWaDCu/f2rVrMZlMzJ8/39aliIiIDShYiYjIQ+fk5MSsWbNu2b5u3TrOnTuHo6OjDaoSERG5fwpWIiLy0LVv35558+aRkpKSafusWbOoWbMmAQEBNqpMRETk/ihYiYjIQ9e7d28iIyNZuXJlxrakpCTmz59Pnz59sjwmISGBl19+maCgIBwdHSlXrhyffPIJVqs1036JiYn897//pWDBgri7u/P4449z7ty5LN/z/PnzDBw4EH9/fxwdHalUqRJTp07Nvg+ahZMnT9K9e3d8fHxwcXGhXr16LF68+Jb9vvrqKypVqoSLiwve3t7UqlUr01m+uLg4hg8fTvHixXF0dMTPz49WrVqxc+dOQ+sXEZGsKViJiMhDV7x4cerXr8/s2bMzti1dupSYmBh69ep1y/5Wq5XHH3+czz//nLZt2/LZZ59Rrlw5Xn31VUaMGJFp38GDBzN+/Hhat27NBx98gL29PR06dLjlPSMiIqhXrx5//vknw4YN44svvqB06dIMGjSI8ePHZ/tnvjlmgwYNWL58Oc8//zz/+9//uH79Oo8//ji//PJLxn6TJk3ixRdfpGLFiowfP553332X6tWrs2XLlox9nnvuOSZMmEDXrl359ttveeWVV3B2dubQoUOG1C4iIv/CKiIi8pBMmzbNCli3bdtm/frrr63u7u7Wq1evWq1Wq7V79+7WZs2aWa1Wq7VYsWLWDh06ZBy3aNEiK2AdO3Zspvfr1q2b1WQyWY8fP261Wq3W3bt3WwHr888/n2m/Pn36WAHrO++8k7Ft0KBB1sDAQOvly5cz7durVy+rp6dnRl2hoaFWwDpt2rQ7frY1a9ZYAeu8efNuu8/w4cOtgHXDhg0Z2+Li4qwlSpSwFi9e3Jqammq1Wq3WTp06WStVqnTH8Tw9Pa0vvPDCHfcREZGHR2esRETEJnr06MG1a9f4448/iIuL448//rjtZYBLlizBYrHw4osvZtr+8ssvY7VaWbp0acZ+wC37DR8+PNNzq9XKggUL6NixI1arlcuXL2c82rRpQ0xMjCGX1C1ZsoQ6derQqFGjjG1ubm4888wznDp1ioMHDwLg5eXFuXPn2LZt223fy8vLiy1bthAWFpbtdYqIyL1TsBIREZsoWLAgLVu2ZNasWSxcuJDU1FS6deuW5b6nT5+mUKFCuLu7Z9peoUKFjNdv/mk2mylVqlSm/cqVK5fp+aVLl4iOjub777+nYMGCmR4DBgwA4OLFi9nyOf/5Of5ZS1af4/XXX8fNzY06depQpkwZXnjhBTZt2pTpmI8++oj9+/cTFBREnTp1GD16NCdPnsz2mkVE5O7Y2boAERHJv/r06cOQIUMIDw+nXbt2eHl5PZRx09LSAHjyySd5+umns9ynatWqD6WWrFSoUIEjR47wxx9/sGzZMhYsWMC3337LqFGjePfdd4H0M36NGzfml19+YcWKFXz88cd8+OGHLFy4kHbt2tmsdhGR/EpnrERExGY6d+6M2Wxm8+bNt70MEKBYsWKEhYURFxeXafvhw4czXr/5Z1paGidOnMi035EjRzI9v9kxMDU1lZYtW2b58PPzy46PeMvn+GctWX0OAFdXV3r27Mm0adM4c+YMHTp0yGh2cVNgYCDPP/88ixYtIjQ0lAIFCvC///0v2+sWEZF/p2AlIiI24+bmxoQJExg9ejQdO3a87X7t27cnNTWVr7/+OtP2zz//HJPJlHGG5uafX375Zab9/tnlz2Kx0LVrVxYsWMD+/ftvGe/SpUv383H+Vfv27dm6dSshISEZ2xISEvj+++8pXrw4FStWBCAyMjLTcQ4ODlSsWBGr1UpycjKpqanExMRk2sfPz49ChQqRmJhoSO0iInJnuhRQRERs6naX4v1dx44dadasGW+++SanTp2iWrVqrFixgl9//ZXhw4dn3FNVvXp1evfuzbfffktMTAwNGjRg1apVHD9+/Jb3/OCDD1izZg1169ZlyJAhVKxYkaioKHbu3Mmff/5JVFTUfX2eBQsWZJyB+ufnfOONN5g9ezbt2rXjxRdfxMfHhx9++IHQ0FAWLFiA2Zz++87WrVsTEBBAw4YN8ff359ChQ3z99dd06NABd3d3oqOjKVKkCN26daNatWq4ubnx559/sm3bNj799NP7qltERB6MgpWIiOR4ZrOZ3377jVGjRjF37lymTZtG8eLF+fjjj3n55Zcz7Tt16lQKFizITz/9xKJFi2jevDmLFy8mKCgo037+/v5s3bqVMWPGsHDhQr799lsKFChApUqV+PDDD++71jlz5mS5vWnTpjRq1Ijg4GBef/11vvrqK65fv07VqlX5/fffM6219eyzz/LTTz/x2WefER8fT5EiRXjxxRd56623AHBxceH5559nxYoVLFy4kLS0NEqXLs23337L0KFD77t2ERG5fyar9R9L1ouIiIiIiMg90T1WIiIiIiIiD0jBSkRERERE5AEpWImIiIiIiDwgBSsREREREZEHpGAlIiIiIiLygBSsREREREREHpDWscpCWloaYWFhuLu7YzKZbF2OiIiIiIjYiNVqJS4ujkKFCmUs5J4VBasshIWF3bKQpIiIiIiI5F9nz56lSJEit31dwSoL7u7uQPrkeXh42LSW5ORkVqxYQevWrbG3t7dpLXmR5tdYml9jaX6Npfk1lubXeJpjY2l+jZWT5jc2NpagoKCMjHA7ClZZuHn5n4eHR44IVi4uLnh4eNj8myov0vwaS/NrLM2vsTS/xtL8Gk9zbCzNr7Fy4vz+2y1Cal4hIiIiIiLygBSsREREREREHpCClYiIiIiIyAPSPVYiIiIiIvfIarViNptJTEwkNTXV1uXkOcnJydjZ2XH9+nXD59disWBnZ/fAyywpWImIiIiI3IOkpCTOnz9PYGAgZ86c0bqnBrBarQQEBHD27NmHMr8uLi4EBgbi4OBw3++hYCUiIiIicpfS0tIIDQ3FbDZTqFAhPD09sVgsti4rz0lLSyM+Ph43N7c7Lsr7oKxWK0lJSVy6dInQ0FDKlClz3+MpWImIiIiI3KWkpCTS0tIoXLgwKSkpODs7G/qDf36VlpZGUlISTk5Ohs+vs7Mz9vb2nD59OmPM+6HvAhERERGRe6Qwlbdkx9+nviNEREREREQekIKViIiIiIjIA1KwEhERERGRe1a8eHHGjx9v6zJyDAUrEREREZE8zGQy3fExevTo+3rfbdu28cwzzzxQbU2bNmX48OEP9B45hboCioiIiIjkYRcuXMj4eu7cuYwaNYojR45kbHNzc8v42mq1kpqaip3dv8eEggULZm+huZzOWImIiIiI3Cer1crVpBSbPKxW613VGBAQkPHw9PTEZDJlPD98+DDu7u4sXbqUmjVr4ujoyMaNGzlx4gSdOnXC398fNzc3ateuzZ9//pnpff95KaDJZGLy5Ml07twZFxcXypQpw2+//fZA87tgwQIqVaqEo6MjxYsX59NPP830+rfffkuZMmVwcnLC39+fbt26Zbw2f/58qlSpgrOzMwUKFKBly5YkJCQ8UD13ojNWIiIiIiL36VpyKpVHr7TJ2AfHtMHFIXt+nH/jjTf45JNPKFmyJN7e3pw9e5b27dvzv//9D0dHR2bMmEHHjh05cuQIRYsWve37vPvuu3z00Ud8/PHHfPXVV/Tt25fTp0/j4+NzzzXt3r2bXr16MXr0aHr27ElwcDDPP/88BQoUoH///mzfvp0XX3yRmTNn0qBBA6KiotiwYQOQfpaud+/efPTRR3Tu3Jm4uDg2bNhw12H0fihYiYiIiIjkc2PGjKFVq1YZz318fKhWrVrG8/fee49ffvmF3377jWHDht32ffr370/v3r0BeP/99/nyyy/ZunUrbdu2veeavvnmG5o3b87bb78NQNmyZTl48CAff/wx/fv358yZM7i6uvLYY4/h7u5OsWLFqFGjBpAerFJSUujSpQvFihUDoEqVKvdcw71QsMrhdp+NZvslE+1tXYiIiIiI3MLZ3sLBMW1sNnZ2qVWrVqbn8fHxjB49msWLF2eElGvXrnHmzJk7vk/VqlUzvnZ1dcXDw4OLFy/eV01Hjx6lc+fOmbY1bNiQ8ePHk5qaSqtWrShWrBglS5akbdu2tG3bNuMyxGrVqtGiRQuqVKlCmzZtaN26Nd26dcPb2/u+arkbuscqBwuLvsYzP+5i5nEL04JP27ocEREREfkHk8mEi4OdTR4mkynbPoerq2um56+88gq//PIL77//Phs2bGD37t1UqVKFpKSkO76Pvb39LfOTlpaWbXX+nbu7Ozt37mT27NkEBgYyatQoqlWrRnR0NBaLhZUrV7J06VIqVqzIV199Rbly5QgNDTWkFlCwytECPJzoVC0QgPeXHmHc0kOGXhcqIiIiIgKwadMm+vfvT+fOnalSpQoBAQGcOnXqodZQtmxZNm3adEtdZcuWxWJJP1tnZ2dHy5Yt+eijj9i7dy+nTp1i9erVQHqoa9iwIe+++y67du3CwcGBX375xbB6dSlgDmY2m/i/duW4fD6UP85Y+G7dSaLikxjXpQp2FmViERERETFGmTJlWLhwIR07dsRkMvH2228bdubp0qVL7N69O9M2f39/hg0bRvPmzXnvvffo2bMnISEhfP3113z77bcA/PHHH5w8eZImTZrg7e3NkiVLSEtLo1y5cmzZsoVVq1bRunVr/Pz82LJlC5cuXaJChQqGfAbQGascz2Qy0aqwlfefqITZBPN2nOPZmTu4lpRq69JEREREJI/67LPP8Pb2pkGDBnTs2JE2bdrwyCOPGDLWrFmzqFGjRqbH5MmTqVatGnPmzGHOnDlUrlyZUaNGMWbMGPr37w+Al5cXCxcupHnz5lSoUIGJEycye/ZsKlWqhIeHB+vXr6d9+/aULVuWt956i08//ZR27doZ8hlAZ6xyje41C1PQw5lhs3ay6vBFnpqyhSlP18bTxf7fDxYRERERIb1r381gAtC0adMsbzUpXrx4xiV1N73wwguZnv/z0sCs3ic6OvqO9axduzbL7WlpacTGxtK1a1e6d++e5T6NGjW67fEVKlRg2bJldxw7u+mMVS7SqqI/MwfVxd3Jju2nr9D9u2DCY67buiwRERERkXxPwSqXqVPCh3nP1cfP3ZGjEfF0nRDMiUvxti5LRERERCRfU7DKhcoHeLBgaANK+rpyPvoa3SYEs/tstK3LEhERERHJtxSscqkgHxfmPVefqkU8uXI1mT6TNrP+6CVblyUiIiIiki8pWOViBdwcmTWkHo1K+3I1KZWB07fx6+7zti5LRERERCTfUbDK5dwc7ZjavzYdqxUiJc3KS3N2M3WjcStKi4iIiIjIrRSs8gAHOzNf9KxO/wbFARjzx0E+WnY4y5aXIiIiIiKS/RSs8giz2cQ7HSvySuuyAHy79gRvLNhHSqoxK2SLiIiIiMhfFKzyEJPJxLDmZRjXpQpmE8zdfpahP+3kenKqrUsTEREREcnTFKzyoN51ijLhyZo42JlZeTCCflO2EnMt2dZliYiIiEgu1rRpU4YPH27rMnIsBas8qk2lAGYMrIO7ox1bT0XR87sQImKv27osEREREXnIOnbsSNu2bbN8bcOGDZhMJvbu3fvA40yfPh0vL68Hfp/cSsEqD6tXsgBzn61PQXdHDofH0XVCMCcvxdu6LBERERF5iAYNGsTKlSs5d+7cLa9NmzaNWrVqUbVqVRtUlrcoWOVxFQt5sOC5BhQv4MK5K9foPjGEveeibV2WiIiISN5gtUJSgm0ed9kB+rHHHqNgwYJMnz490/b4+HjmzZvHoEGDiIyMpHfv3hQuXBgXFxeqVKnC7Nmzs3Wqzpw5Q6dOnXBzc8PDw4MePXoQERGR8fqePXto1qwZ7u7ueHl50bRpU7Zv3w7A6dOn6dixI97e3ri6ulKpUiWWLFmSrfU9KDtbFyDGK1rAhflDG9B/2lb2n4+l9/eb+e6pWjQq42vr0kRERERyt+Sr8EER24z9f2Hg4Pqvu9nZ2dGvXz+mT5/Om2++iclkAmDevHmkpqbSu3dv4uPjqVmzJq+//joeHh4sXryYp556ilKlSlGnTp0HLjUtLS0jVK1bt46UlBReeOEFevbsydq1awHo27cvNWrUYMKECZhMJkJCQrC3twfghRdeICkpifXr1+Pq6srBgwdxc3N74Lqyk4JVPuHr5sjsIfV4duYOgk9EMmD6Vj7rUZ2O1QrZujQRERERMdjAgQP5+OOPWbduHU2bNgXSLwPs2rUrnp6eeHp68sorr2Ts/5///Ifly5fz888/Z0uwWrVqFfv27SM0NJSgoCAAZsyYQaVKldi2bRu1a9fmzJkzvPrqq5QvX560tDT8/f3x8PAA0s92de3alSpVqgBQsmTJB64puylY5SPuTvZMG1CbEXP3sHjfBV6cs4uohCSevrGwsIiIiIjcI3uX9DNHthr7LpUvX54GDRowdepUmjZtyvHjx9mwYQNjxowBIDU1lffff5+ff/6Z8+fPk5SURGJiIi4udz/GnRw6dIigoKCMUAVQsWJFvLy8OHToELVr12bEiBEMHjyYmTNn0qJFC9q2bUu1atUAePHFFxk6dCgrVqygZcuWdO3aNcfdF6Z7rPIZRzsLX/auQb/6xbBa4Z3fDvDpiiNY7/IaXRERERH5G5Mp/XI8WzxuXNJ3twYNGsSCBQuIi4tj2rRplCpVikcffRSAjz/+mC+++ILXX3+dNWvWsHv3btq0aUNSUpIRs5al0aNHc+DAATp06MDq1aupV68ev/zyCwCDBw/m5MmTPPXUU+zbt49atWrx1VdfPbTa7oaCVT5kMZt49/FK/LdlWQC+Wn2c//tlP6lpClciIiIieVWPHj0wm83MmjWLGTNmMHDgwIz7rTZt2kSnTp148sknqVatGiVLluTo0aPZNnaFChU4e/YsZ8+ezdh28OBBoqOjqVixYsa2smXL8t///pfly5fz2GOPZWq4ERQUxHPPPcfChQt5+eWXmTRpUrbVlx10KWA+ZTKZeKllGQq4OfD2r/uZvfUMUQmJfNGrBk72FluXJyIiIiLZzM3NjZ49ezJy5EhiY2Pp379/xmtlypRh/vz5BAcH4+3tzWeffUZERESm0HM3UlNT2b17d6Ztjo6OtGzZkipVqtC3b1/Gjx9PSkoKzz//PI8++ii1atXi2rVrvPrqq3Tr1o0SJUpw5swZdu3aRbdu3QAYPnw47dq1o2zZsly5coU1a9ZQoUKFB52SbKUzVvnck/WK8W2fR3CwmFl+IIKnp24l9nqyrcsSEREREQMMGjSIK1eu0KZNGwoV+quJ2VtvvcUjjzxCmzZtaNq0KQEBATzxxBP3/P7x8fHUqFEj06Njx46YTCZ+/fVXvL29adKkCS1btqRkyZLMnTsXAIvFQmRkJP369aNs2bL06tWLli1bMnr0aCA9sL3wwgtUqFCBtm3bUrZsWb799tvsmJJsozNWOd2F3QRGbwPaGzZEuyqBeLrY88yMHWwJjaLnd5v5YUBt/DycDBtTRERERB6++vXrZ3lvvY+PD4sWLbrjsTfbot9O//79M50F+6eiRYvy66+/Zvmag4NDpnWz0tLSiI2Nxckp/efRnHY/VVZsfsbqm2++oXjx4jg5OVG3bl22bt16232nT5+OyWTK9Lg52TdZrVZGjRpFYGAgzs7OtGzZkmPHjhn9MYwRcx67ub2pHfo15u1TDR2qQSlf5jxTD183Rw5diKXrxGBOXU4wdEwRERERkbzCpsFq7ty5jBgxgnfeeYedO3dSrVo12rRpw8WLF297jIeHBxcuXMh4nD59OtPrH330EV9++SUTJ05ky5YtuLq60qZNG65fv270x8l+7gGklW2PCSuW5a/BqvfueoXt+1G5sCcLhtanqI8LZ6Ou0W1iMPvPxxg2noiIiIhIXmHTYPXZZ58xZMgQBgwYQMWKFZk4cSIuLi5MnXr7szMmk4mAgICMh7+/f8ZrVquV8ePH89Zbb9GpUyeqVq3KjBkzCAsL+9dTmzmS2UJau084FNgl/fmGT+C3YZCaYtiQxQq4smBoAyoGenA5Pole328m+Phlw8YTEREREckLbHaPVVJSEjt27GDkyJEZ28xmMy1btiQkJOS2x8XHx1OsWDHS0tJ45JFHeP/996lUqRIAoaGhhIeH07Jly4z9PT09qVu3LiEhIfTq1SvL90xMTCQxMTHjeWxsLADJyckkJ9u2kUNySgpHA56gZNUGOKx4DdOuH0mLiyC18+T09QsM4OVk5seBNRk6azdbQq/w9LStfNqtCu0qBxgyni3d/Pu19d9zXqX5NZbm11iaX2Npfo2nOTZGcnIyVqs14z4lq9VKWlqajavKex72/KalpWG1WklOTsZiydwh+27/GzJZbbQybFhYGIULFyY4OJj69etnbH/ttddYt24dW7ZsueWYkJAQjh07RtWqVYmJieGTTz5h/fr1HDhwgCJFihAcHEzDhg0JCwsjMDAw47gePXpgMpkyuo780+jRo3n33Xdv2T5r1qxsW206OwTE7KRW6DdYrMlEuZRiS6kRJNm5GzZechrMOGZmb5QZE1a6lUijUYDWuhIREZH8y87OjoCAAIoUKYKjo6Oty5FskpiYyLlz5wgPDyclJfPVYVevXqVPnz7ExMTg4eFx2/fIVV0B69evnymENWjQgAoVKvDdd9/x3nvv3ff7jhw5khEjRmQ8j42NJSgoiNatW99x8h6G5ORkVq5cSatWrbC3b4/1XGusP/fF5+oJ2p7/jJTe88CrqGHjP5ZmZfQfh5iz7RzzQi0EFC/Jf5qVylhMLrfLPL/2ti4nz9H8GkvzayzNr7E0v8bTHBsjNTWVkydPYjan31Hj7u6eZ34uykmsVitxcXEPbX4jIyNxdnamRYsWt5yxunk127+xWbDy9fXFYrEQERGRaXtERAQBAXd3yZm9vT01atTg+PHjABnHRUREZDpjFRERQfXq1W/7Po6Ojln+xsHe3j7H/EOUUUuJhjBwOfzYFVPUCex/aAdPLoCAKsaMC4zrUhV/D2e+WHWMr9acJOpqCmM6VcZizjv/iOSkv+u8SPNrLM2vsTS/xtL8Gk9znL3s7e3x9vbm0qVLuLu7Y29vf8sP4vLg0tLSSEpKIjExMSPEGsFqtXL16lUuX76Mt7f3LR3Hgbv+78dmwcrBwYGaNWuyatWqjMXH0tLSWLVqFcOGDbur90hNTWXfvn20b5++xlOJEiUICAhg1apVGUEqNjaWLVu2MHToUCM+hm0ULAeDVsCP3eDiAZjWHnr9BCWaGDKcyWTiv63K4uvmwKjfDvDTljNcuZrE5z2r42inf0hEREQkfwkICCA1NZULFy4QFxenM1YGsFqtXLt2DWdn54cyv15eXnd9cud2bHop4IgRI3j66aepVasWderUYfz48SQkJDBgwAAA+vXrR+HChRk3bhwAY8aMoV69epQuXZro6Gg+/vhjTp8+zeDBg4H0ADB8+HDGjh1LmTJlKFGiBG+//TaFChW6r5WjczSPQjBgCczpC6c3wo9dofN3ULmLYUM+Vb84Pq6O/HfubpbsC+dKwja+71cTdyf9FkxERETyD5PJhL+/Pzt37qR58+bY2eWqu2tyheTkZNavX0+TJk0MP+OaXWcdbfpd0LNnTy5dusSoUaMIDw+nevXqLFu2LKOF+pkzZzKd+rty5QpDhgwhPDwcb29vatasSXBwMBUrVszY57XXXiMhIYFnnnmG6OhoGjVqxLJly7I8rZfrOXulXwb4yzNw8FeYPxDiL0K95wwbskPVQLxd7BkyYzshJyPp9f1mpg+oQ0F33bwpIiIi+YvVasXR0VGXWhrAYrGQkpKCk5NTrplfm65jBTBs2DBOnz5NYmIiW7ZsoW7duhmvrV27lunTp2c8//zzzzP2DQ8PZ/HixdSoUSPT+5lMJsaMGUN4eDjXr1/nzz//pGzZsg/r4zx89k7QbRrUHgJYYdnrsPIdQxcSblDalznP1KeAqwMHwmLpNjGYM5FXDRtPRERERCSns3mwkmxgtkD7j6HFqPTnm8bDoqGQaty6FVWKeDJ/aAOCfJw5HXmVLhOCORAWY9h4IiIiIiI5mYJVXmEyQeOXodO3YLLAntkwqyckxhs2ZAlfVxY814AKgR5cjk+k13ebCTkRadh4IiIiIiI5lYJVXlOjL/SeA/YucGIV/PAYxF8ybDg/DyfmPluPOiV8iEtM4empW1m2/4Jh44mIiIiI5EQKVnlR2dbw9O/g7ANhu2Bqa4gKNWw4Dyd7ZgysQ+uK/iSlpvH8TzuZteWMYeOJiIiIiOQ0ClZ5VZFaMGgleBWFqJMwpRWE7TZsOCd7C9/2fYTedYJIs8L//bKPL1cdw2pgEw0RERERkZxCwSov8y2dHq4CqkDCJZjeAU6sNmw4O4uZ9ztX4T/NSwPw2cqjvPPbAVLTFK5EREREJG9TsMrr3AOg/xIo0QSS4uGn7rD3Z8OGM5lMvNy6HKM7VsRkghkhp3lxzi4SU1ING1NERERExNYUrPIDJw/oOx8qd4W0FFg4BIK/MnTI/g1L8EWvGthbTCzee4GB07cRn5hi6JgiIiIiIraiYJVf2DlCl8lQ7/n05yveguVvQlqaYUM+Xq0QU/vXxsXBwqbjkfT+fjOX4xMNG09ERERExFYUrPITsxnavA+t3kt/HvI1/PIMpCQZNmTjMgWZ80w9fFwd2Hc+hm4TgjkbddWw8UREREREbEHBKr8xmaDhi9D5OzDbwb55MKs7JMYZNmTVIl7Mf64+hb2cORV5lS4Tgjl0Idaw8UREREREHjYFq/yqWi/oMxfsXeHk2vSOgfEXDRuuZEE3Fj7fgPIB7lyKS6THdyFsORlp2HgiIiIiIg+TglV+Vrol9P8DXHzhwp70ta4iTxg2nL+HE3OfrU/t4t7EXU/hqalbWX4g3LDxREREREQeFgWr/K7wIzBoBXgXhyunYEprOL/DsOE8ne2ZOaguLSv4k5SSxtAfdzBn6xnDxhMREREReRgUrAQKlEpfSDiwGly9DNM7wrE/DRvOyd7CxCcfoUetIqRZ4Y2F+/hmzXGsVi0kLCIiIiK5k4KVpHPzg/6LoWQzSE6A2T1hzxzDhrOzmPmwa1Web1oKgI+XH+Hd3w+SlqZwJSIiIiK5j4KV/MXRHfr8DFV6pC8k/MuzsHE8GHQmyWQy8Vrb8ox6rCIA04NP8dLc3SSlGLe2loiIiIiIERSsJDM7h/RW7A3+k/78z3dg2UhDFxIe2KgEX/Sqjp3ZxO97whj0wzYSElMMG09EREREJLspWMmtzGZoPRZa/y/9+ZYJsGAgpCQaNmSn6oWZ0r82Lg4WNhy7TJ9Jm4mMN248EREREZHspGAlt9dgGHSdAmZ7OPAL/NgVrscYNtyjZQsya0g9vF3s2XMuhu4TQzh35aph44mIiIiIZBcFK7mzKt2g7zxwcINTG2BaB4gzbu2p6kFezHuuAYW9nDl5OYGuE4I5HB5r2HgiIiIiItlBwUr+XalmMGAJuPpBxD6Y3AouHzNsuNJ+bswfWp+y/m5ExCbSY2II205FGTaeiIiIiMiDUrCSuxNYLX0hYZ9SEHMmfSHhc9uNG87TmZ+frU/NYt7EXk/hyclb+PNghGHjiYiIiIg8CAUruXs+JdLDVaFH4FoUTH8Mji43bDgvFwd+HFSXFuX9SExJ49kfd/Dz9rOGjSciIiIicr8UrOTeuPrC079D6VaQcg1m94adMw0bztnBwsSnatKtZhFS06y8Nn8vE9aewGrQ2loiIiIiIvdDwUrunaMb9J4N1fqANRV+GwbrPzZsIWF7i5mPu1Xl2UdLAvDhssOMXXyItDSFKxERERHJGRSs5P5Y7OGJb6HRiPTnq8fCklcgLdWQ4UwmEyPbVeCtDhUAmLIxlBE/7yYpxbiFi0VERERE7paCldw/kwlavgPtPgJMsG0yzHsakq8bNuTgxiX5rEc17MwmFu0OY/CM7VxNSjFsPBERERGRu6FgJQ+u7rPQfRpYHODQ7/BjF7gWbdhwXR4pwqSna+Fsb2H90Uv0mbSFKwlJho0nIiIiIvJvFKwke1TqDE8uBEcPOL0JprWDmPOGDdesnB8/DamLl4s9u89G021iMOejrxk2noiIiIjInShYSfYp0RgGLAW3ALh4MH2tq4uHDRvukaLezH+uPoGeTpy4lEDXb4M5GhFn2HgiIiIiIrejYCXZK6AyDF4JBcpA7DmY2gbObDZsuNJ+7iwY2oDSfm6Ex16n+8QQdpyOMmw8EREREZGsKFhJ9vMqmr6QcJHacD0aZnSCw4sNG66QlzPznq1PjaJexFxLpu/kLaw+HGHYeCIiIiIi/6RgJcZw8YF+v0HZtpByHeY+CdunGTact6sDPw2uS9NyBbmenMaQGTuYv+OcYeOJiIiIiPydgpUYx8EFev4ENZ4Caxr8MRzWfmDYQsIuDnZM6leLLjUKk5pm5ZV5e/hu3QlDxhIRERER+TsFKzGWxQ4e/wqavJb+fO249ICVaszaU/YWM590r8aQxiUAGLf0MO8vOURamjFhTkREREQEFKzkYTCZoPmb0OFTwAQ7psPP/SDZmPboZrOJNztUZGS78gB8v/4kr8zfQ3JqmiHjiYiIiIgoWMnDU3sw9JgBFkc4sji9qcVV4zr4PftoKT7pXg2L2cTCned5ZsZ2riYZc6ZMRERERPI3BSt5uCo+Dv0WgZMnnN0CU9tCjHFNJrrVLML3T9XEyd7MmiOX6Dt5C9FXkwwbT0RERETyJwUrefiKNYABy8C9EFw+ApNbQcRBw4ZrUcGfnwbXxdPZnl1nouk2MYSwaGMuQxQRERGR/EnBSmzDv2L6QsK+5SAuDKa1hVObDBuuZjEf5j1XnwAPJ45fjKfrhGCOX4wzbDwRERERyV8UrMR2PIvAwGUQVA+ux8DMznDwN8OGK+vvzoLnG1CyoCsXYq7TbWIIu85GGzaeiIiIiOQfClZiWy4+6fdclesAqYnp3QK3TTZsuMJezsx/rgHVg7yIvprM09O2c/CKybDxRERERCR/ULAS27N3Tu8WWLM/YIXFL8PqsYYtJOzj6sCsIXVpUrYg15LTmHTEzK+7wwwZS0RERETyBwUryRksdvDYeGj6f+nP138Mvw0zbCFhFwc7JverRceqAaRZTbyyYD+TN5w0ZCwRERERyfsUrCTnMJmg6evQ8QswmWHXjzC3LyRdNWQ4Bzszn3StwqOB6QsHj118iHFLD2E16EyZiIiIiORdClaS89TsDz1/AjsnOLoMZjwOCZGGDGU2m+hcLI1XWpUB4Lt1J3l1/l5SUtMMGU9ERERE8iYFK8mZyreHfr+Bkxec2wZT28CV04YMZTLBs01K8FHXqphNMH/HOZ6duYNrSamGjCciIiIieY+CleRcRevCoBXgUQQij8GU1hC+z7DhetQO4runauFoZ2bV4Ys8NWULMVeTDRtPRERERPIOBSvJ2QqWS19I2K8ixIfDtPYQut6w4VpV9OfHwXXxcLJj++krdP8umPCY64aNJyIiIiJ5g4KV5HwehWDAUijWEBJj4ceusH+hYcPVLu7Dz8/Vx9/DkaMR8XSdEMzxi/GGjSciIiIiuZ+CleQOzl7w5EKo8DikJsH8gbDlO8OGKx/gwfznGlDS15Xz0dfoPjGY3WejDRtPRERERHI3BSvJPeydoPt0qD0EsMLS1+DP0YYtJBzk48K85+pTtYgnV64m02fSZtYfvWTIWCIiIiKSuylYSe5itkD7j6H52+nPN34Oi4ZCqjFNJgq4OTJ7SD0al/HlalIqA6dv49fd5w0ZS0RERERyLwUryX1MJmjyCnT6BkwW2DMbZveCRGPug3J1tGPK07XpWK0QKWlWXpqzm6kbQw0ZS0RERERyJwUryb1qPAm9Z4OdMxz/E37oCAmXDRnKwc7MFz2r079BcQDG/HGQj5YdxmrQZYgiIiIikrsoWEnuVrYN9P8DnH0gbCdMaQVRxpxNMptNvNOxIq+2KQfAt2tP8MaCfaSkphkynoiIiIjkHgpWkvsVqZW+kLBXUYg6mb6QcNhuQ4YymUy80Kw0H3SpgtkEc7efZehPO7menGrIeCIiIiKSOyhYSd7gWwYGrQT/KpBwEaZ3gBNrDBuuV52iTHiyJg52ZlYejKDflK3EXDOmgYaIiIiI5HwKVpJ3uAfAgMVQogkkxcNP3WHvPMOGa1MpgJkD6+DuZMfWU1H0/C6EiNjrho0nIiIiIjmXgpXkLU6e0Hc+VOoCacmwcDAEf23YcHVLFuDnZ+tT0N2Rw+FxdJ0QzMlLxnQnFBEREZGcS8FK8h47R+g6BeoOTX++4k1Y/iakGdNkokKgBwuHNqB4ARfOXblGt4kh7D0XbchYIiIiIpIzKVhJ3mQ2Q9tx0GpM+vOQr+GXZyAlyZDhgnxcmD+0AVUKexKVkETv7zez8Zgxrd9FREREJOexebD65ptvKF68OE5OTtStW5etW7fe1XFz5szBZDLxxBNPZNrev39/TCZTpkfbtm0NqFxyPJMJGr4Enb8Dsx3smwezukNinCHD+bo5MvuZejQsXYCEpFQGTN/K73vCDBlLRERERHIWmwaruXPnMmLECN555x127txJtWrVaNOmDRcvXrzjcadOneKVV16hcePGWb7etm1bLly4kPGYPXu2EeVLblGtF/SeC/aucHJtesfA+Dt/j90vN0c7pvavTYeqgSSnWnlxzi5+CD5lyFgiIiIiknPYNFh99tlnDBkyhAEDBlCxYkUmTpyIi4sLU6dOve0xqamp9O3bl3fffZeSJUtmuY+joyMBAQEZD29vb6M+guQWZVpC/9/BxRcu7ElfSDjyhCFDOdpZ+LJXDfrVL4bVCu/8doBPVxzBarUaMp6IiIiI2J6drQZOSkpix44djBw5MmOb2WymZcuWhISE3Pa4MWPG4Ofnx6BBg9iwYUOW+6xduxY/Pz+8vb1p3rw5Y8eOpUCBArd9z8TERBITEzOex8bGApCcnExysm3XJro5vq3ryBP8qsLTi7Gb3QPTlVNYp7QmtetMwJj5fatdWbyd7fhi9Qm+Wn2ci7HXebdjBSxmU7aPlVPp+9dYml9jaX6Npfk1nubYWJpfY+Wk+b3bGkxWG/0aPSwsjMKFCxMcHEz9+vUztr/22musW7eOLVu23HLMxo0b6dWrF7t378bX15f+/fsTHR3NokWLMvaZM2cOLi4ulChRghMnTvB///d/uLm5ERISgsViybKW0aNH8+67796yfdasWbi4uDz4h5UcxTE5mnonPsXr2mlSzI5sLfEfLnlUNWy8TREm5p00Y8VEVZ80+pVJw97mdzeKiIiIyN24evUqffr0ISYmBg8Pj9vuZ7MzVvcqLi6Op556ikmTJuHr63vb/Xr16pXxdZUqVahatSqlSpVi7dq1tGjRIstjRo4cyYgRIzKex8bGEhQUROvWre84eQ9DcnIyK1eupFWrVtjb29u0ljwlsSNpC/pjF7qOeic+J7nD55ir9zFkqPZAkwMR/HfeXvZGmfk5ogAT+1bH3Snv/33q+9dYml9jaX6Npfk1nubYWJpfY+Wk+b15Ndu/sVmw8vX1xWKxEBERkWl7REQEAQEBt+x/4sQJTp06RceOHTO2pd1Yl8jOzo4jR45QqlSpW44rWbIkvr6+HD9+/LbBytHREUdHx1u229vb2/wv8qacVEueYO8DfeeT9stzmA8swHHxi5AUDQ1eTO8mmM0eq16EAu7OPDNjO1tPXaHv1B38MKA2fh5O2T5WTqTvX2Npfo2l+TWW5td4mmNjaX6NlRPm927Ht9kFSQ4ODtSsWZNVq1ZlbEtLS2PVqlWZLg28qXz58uzbt4/du3dnPB5//HGaNWvG7t27CQoKynKcc+fOERkZSWBgoGGfRXIpOwdSO03guF+79OcrR8Hy/zNsIeH6pQow59l6+Lo5cuhCLF0nBnPqcoIhY4mIiIjIw2XTOz1GjBjBpEmT+OGHHzh06BBDhw4lISGBAQMGANCvX7+M5hZOTk5Urlw508PLywt3d3cqV66Mg4MD8fHxvPrqq2zevJlTp06xatUqOnXqROnSpWnTpo0tP6rkVCYzBwr3JrXFjXvsNn8LCwZBSuKdj7tPlQp5smBofYoVcOFs1DW6TQxm//kYQ8YSERERkYfHpsGqZ8+efPLJJ4waNYrq1auze/duli1bhr+/PwBnzpzhwoULd/1+FouFvXv38vjjj1O2bFkGDRpEzZo12bBhQ5aX+onclFbvBegyGcz2cGAh/NQNrt/d9bT3qlgBV+Y/14BKhTy4HJ9Er+83E3z8siFjiYiIiMjDYfPmFcOGDWPYsGFZvrZ27do7Hjt9+vRMz52dnVm+fHk2VSb5TtXu4OoLc5+E0PUwrT08OR/cb73n70EVdHdkzjP1eGbGDkJORtJ/2jbG96pO+yq6ZFVEREQkN1LTZ5G/K9UM+i8GVz+I2Je+kPDlY4YM5e5kz7QBtWlXOYCk1DRemLWTmZtPGzKWiIiIiBhLwUrknwpVh0ErwKckRJ+BKa3h3HZDhnKyt/B1n0foW7coViu8vWg/n688io2WlxMRERGR+6RgJZIVnxIwcAUUegSuRcEPHeGoMZeZWswmxj5RmZdalAHgi1XHeGvRflLTFK5EREREcgsFK5HbcSsIT/8OpVtC8lWY3Rt2/WjIUCaTif+2Kst7T1TGZIKftpzhP7N3kpiSash4IiIiIpK9FKxE7sTRDXrPgWq9wZoKv74A6z8Bgy7Ve6peMb7u/QgOFjNL9oXTf+o24q4nGzKWiIiIiGQfBSuRf2OxhycmQKP/pj9f/R4seRXSjDmb1KFqINMH1MbN0Y6Qk5H0+n4zl+KMWVdLRERERLKHgpXI3TCZoOVoaPshYIJtk2Bef0i+bshwDUr7MueZevi6OXAgLJZuE4M5E3nVkLFERERE5MEpWInci3rPQbepYHGAQ7/Bj13gWrQhQ1Uu7Mn85xoQ5OPM6cirdJkQzIGwGEPGEhEREZEHo2Alcq8qd4EnF4CjB5zeBNPaQWyYIUMV93VlwXMNqBDoweX4RHp+t5mQE5GGjCUiIiIi90/BSuR+lGgCA5aAWwBcPAiTW8GlI4YM5efhxNxn61G3hA/xiSk8PXUry/ZfMGQsEREREbk/ClYi9yugSvpCwgXKQOy59IWEz2wxZCgPJ3t+GFiHNpX8SUpN4/mfdjJryxlDxhIRERGRe6dgJfIgvIvBwOVQuBZcj4YZj8PhJYYM5WRv4du+NeldJ4g0K/zfL/v4ctUxrAa1fhcRERGRu6dgJfKgXAvA079BmTaQch3m9oUd0w0ZymI28X7nKrzYvDQAn608yju/HSA1TeFKRERExJYUrESyg4Mr9JoFNZ4Eaxr8/hKs/dCQhYRNJhMjWpfj3ccrYTLBjJDTvDhnF4kpxqyrJSIiIiL/TsFKJLtY7ODxr6HJq+nP174Pf/zXsIWEn25QnC971cDeYmLx3gsMnL6N+MQUQ8YSERERkTtTsBLJTiYTNH8L2n8CmGDHNPi5HyRfM2S4jtUKMa1/HVwdLGw6Hkmv70O4HJ9oyFgiIiIicnsKViJGqDMEeswAiyMc/gNmPAFXowwZqlEZX2Y/U48Crg7sPx9LtwnBnI26ashYIiIiIpI1BSsRo1R8HJ76BRw94ezm9IWEY84ZMlTVIl7Me64+hb2cORV5lS4Tgjl0IdaQsURERETkVgpWIkYq3hAGLgX3QnDpcPpCwhEHDRmqZEE3Fj7fgPIB7lyKS6THdyFsORlpyFgiIiIikpmClYjR/CulLyTsWw7iwmBaWzi1yZihPJyY+2x96hT3Ie56Ck9N3cryA+GGjCUiIiIif1GwEnkYvIJg4DIIqgvXY2BmZzj4myFDeTrbM2NQHVpV9CcpJY2hP+5gztYzhowlIiIiIukUrEQeFhcf6PcrlGsPqYnp3QK3TTZkKCd7CxP6PkKPWkVIs8IbC/fxzZrjWA1YV0tEREREFKxEHi57Z+gxE2r2B6yw+GVYPdaQhYTtLGY+7FqVF5qVAuDj5Ud49/eDpKUpXImIiIhkNwUrkYfNYgePjYemI9Ofr/8YfvsPpGb/4r4mk4lX25TnnY4VAZgefIqX5u4mKSUt28cSERERyc8UrERswWSCpm+kByyTGXbNhLl9IcmY9acGNCzBF72qY2c28fueMAb9sI2ExOwPciIiIiL5lYKViC3VGgA9fwQ7Jzi6DGY8bthCwp2qF2ZK/9q4OFjYcOwyfSZtJjI+0ZCxRERERPIbBSsRWyvfIb2phZMXnNsGU1pDtDFd/B4tW5BZQ+rh7WLPnnMxdJ8YwtkoY86SiYiIiOQnClYiOUHRejBwOXgUgchj6QsJh+83ZKjqQV7MH9qAwl7OnLycQLeJwRwOjzVkLBEREZH8QsFKJKfwK5++kLBfRYgPh2ntIHSDIUOVKujGgqENKOvvRkRsIj0mhrDtlDGXIIqIiIjkBwpWIjmJZ2EYsASKNoDEWPixCxz4xZChAjydmPdsA2oV8yb2egpPTt7CyoMRhowlIiIiktcpWInkNM7e8NQvUKEjpCbBvAGw5TtDhvJ0sWfmoLq0KO9HYkoaz/24g5+3nzVkLBEREZG8TMFKJCeyd4LuP0DtwYAVlr4Gf75ryELCzg4WvnuqJt1qFiE1zcpr8/cyYe0JrAaMJSIiIpJXKViJ5FRmC7T/BJq/lf5842ew6HlITc72oewsZj7uVpVnHy0JwIfLDjN28SHS0hSuRERERO6Gna0LEJE7MJmgyavgFgC/vwR7ZkHCJejxAzi4ZvNQJka2q0BBN0fGLj7ElI2hRMYn8lG3ajjY6XcwIiI5itUK12PgWhRcvQLXrtz4OirjT8u1aGqEhWH5YznYO4LZHsx2YLFL/9py87n9bZ7/fb9/Prf768/bvnbzucXWsyXyUChYieQGjzwFbn7w89NwfCVMfwz6zgNX32wfanDjkhRwc+DVeXtZtDuMqKvJTHzyEVwc9M+FiIghkq/fEooyB6Urf72W8fUVsKbe8W3NQFGAqE0P41Pcgenuw9rfA9tdBb5/2+92+95NaMziudkOzPplo2RNPymJ5BZl28DTv8OsHhC2M30h4ScXgE+JbB+qc40ieLk48PyPO1l/9BK9J21hWv/a+Lg6ZPtYIiJ5Rlpq+lmkTAEpq6B08yzTje3JD7BQu70LOPuAi3f6n87e4OIDzj6kOrhx+NAhypctjYU0SEtJv5w848/kLJ6n3GZ7VvulZHFMVperW9ObMaUmQfZfzf7wmcxgtsfOYke7VLA76nKPYe12YfIBAt/N/bIMpv/yniaTrWc0z1CwEslNgmqnr3U1swtEnbgRruZDYLVsH6pZOT9+GlKXgdO3sedsNN0mBjNzUF0Kezln+1giIjmK1QpJCVleXpe+7UrW4el6DHCf96aaLJlCUcafzl63bnO5EaCcfdKbHd1GWnIyx6OWULZheyz29vdX172yWtMD5l2Hs+TbhLW72fcu9ktLfbD3yOqsoDUNUhMxpSbiAJCQ8HDm1ih3PKuX1aWedxsa//ncck+h0WQ14X7tnK1n554oWInkNr5l0sPVT90hYh9M6wA9Z0KpZtk+1CNFvZn/XH36TdnKyUsJdP02mBmD6lDW3z3bxxIRMURqcubL524JSjcvr/vHa6lJ9z+mg/tfZ5CyCkMZ2/52lsnJM2+cOTCZ0n9gttiBfR74RZzVemswvBHCkpOusX7NKpo0aoC9yXofIfLm89S7DHx3e3bxDgHVmnbrZ7z5mVKuPfz5vQM7oLJ7ZeAZW5dy1xSsRHIjj0AYsBjm9IVTG9JDVueJUKVbtg9V2s+d+UMb0G/qVo5fjKf7xBCm9q9FzWI+2T6WiMhtWa3pC6ffKQxldW9SYuz9j2lx+Mfldf88o3Sb8GR5SGeHxHgmE9g5AFlcCp+cTLxTIfCrCA/rjOCDSku7vxCXlpINge/vz1P+9T2sqUlcxRdvW8/ZPVCwEsmtnDzT77H65Vk48AssGATxEVD/hWwfqpCXM/Ofq8/A6dvYeSaavpO38G3fR2he3j/bxxKRfCAlEeIicL92FtPpjZAU+4/L667cGpSuXUn/weu+mNL/zcy4vC6LgJRVUHJwzRtnkURuMpvB7Ah2jrau5F+lJCezZ8kSCtu6kHugYCWSm9k5Qtep4OYPWybC8v+DuAvQcky2dy3ycnHgp8H1eP6nHaw5cokhM3bwYdeqdKtZJFvHEZFcJC0Nrkdncc/R7S65i07/OjkBe6A5wOF7HNPOOetL6e50H5Kzl1p+i4jhFKxEcjuzGdp+AO6B8Oc7EPwVxEVAp29uXL6QfZwdLHzfrxavL9jLwp3neWXeHiLjE3n20VLZOo6IPGRWKyRfyzoM3WaNpIygdJ/NGqwmM0kWVxw8/TG5FPhHGMqqicONbXnhvh0RyZMUrETyApMJGg1PP3P16wuw7+f0hYR7zgTH7G00YW8x80m3avi6OfL9+pOMW3qYy/GJjGxXAbNZl8yI2Fxqyl+d627bqCHq1rNMqYn3P6aD+43gc/cNG1Iszixbuoz27dtjn1vuTxERuQMFK5G8pHrv9EWDf+4HJ9fA9A7Qd3764sLZyGw28X/tK+Dr5sD7Sw4zaUMokfFJfNitKvYWLZwoki2sVkiM+/c23/+8Nykx5v7HNNtncR/SvzRscPa+v7PjyXlhQSMRkb8oWInkNWVawdN/wKzucGEPTGkFTy6EAtl/ud4zTUpRwNWR1xbsZeGu81y5msQ3fR/BxUH/tIhkkpJ0hzCUxYKxN4NUlout3iUnz6wvpbtTwwYHNzVrEBG5T/rpRyQvKlITBq2EmZ3hyqn0hYT7zoPCj2T7UF1rFsHb1Z7nf9rJmiOX6Dt5C9P618bLJXvv7xLJEdLS0s8I/fNSutstGHstOv3rpPj7H9POKYsw9C8NG5y80tcREhGRh0b/6orkVQVKpYern7pB+F6Y/hj0nAGlW2b7UM3L+/PT4LoMnL6dXWei6TYxhBkD61DQVf/ESC5itUJsGEQeg8vHMF86Rp0TW7FM/wqu3whO16OzXmDzbpjM6YEnyzDklcU2HzVrEBHJRfRTj0he5u4P/RfD3CchdB3M6pneLbBar2wfqmYxH+Y9V59+U9IXEu46IZip/bL/DJnIA7seC5HH0x+Xj934+hhEnoDkqxm7WYBAgKzWl3Vw+6uN953afP/9LJOjZ7YvgyAiIjmHgpVIXufkkd7AYtFQ2D8/fUHh+Aho8GK230tR1t+dBc83oN+ULZy4lEDvydsYoE7sYgupKRB9+kZwuhGeLt8IUPERtz/ObAfexaFAGVJ9SrLvfAKV6zTDzt03c1DKBYtriojIw6VgJZIf2DlAl0ngHgAhX8PKURAXDq3/l+2/QS/s5cy85xowcPo2dp+N5puDFgruOEfvusUx6aZ4yU5WKyRczrh0L9NZqCuhkJZy+2Nd/cC3DBQonf7wLQMFyoB3MbCkt/5OS07m9JIlVCrfHtQOXERE/oWClUh+YTZDm/+lh6sVb8Hmb9PDVeeJ2f7bdx9XB2YNqcvQmTtYd+wy/7foIGuPRjKuSxUKuOk3/XKPkq+lX6b3zzNPkcfh+h1ai9s53whNN8JTgTJ/fe3k+fDqFxGRfEHBSiS/afCf9IWEFz0PBxbC1cvQ86f0SwazkYuDHd89WYPXpixj6Xk7VhyMYOeZaD7uVpVm5bN3XS3JA9LSIPbcjTNPJ/52FuoExJwFrLc50AReQTdC0z/OQLkX0j1NIiLy0ChYieRHVXukLyQ89ykIXQ/T2sOT89PPZmUji9lEi8JWBj1Wl1cX7OdoRDwDpm/jyXpFebN9RZwdLNk6nuQC16L/0TjiWPoZqKgTkHL99sc5ef11uV6BUn997VNCXfNERCRHULASya9KNU/vGPhTN4jYd2Mh4V/SL5XKZhUDPfhtWCM+WnaEqZtC+XHzGYKPRzK+V3WqFvHK9vHExlKS0tdPu9lt7+/3PyVcuv1xZnvwKXkjNJXKfBbKpYAWrhURkRxNwUokPytUHQatgB+7QtRJmNoa+vwMRWpl+1BO9hZGdaxI8/J+vDxvNycvJ9Dl22BealGGoU1LYWfRJVu5itWa3l3v7y3Lb/555RRYU29/rHvgrU0jCpQCr2Ja1FZERHIt/R9MJL/zKQkDV8Cs7hC2C37oCN1/gLKtDRmuURlflg9vwpu/7Gfxvgt8uvIoa45c5POe1SlWwNWQMeUBJCX87Z6nvzWNiDwBiVkt8HSDves/mkbcPAtVGhzdH179IiIiD4mClYiAW0F4+g/4uR+cWAWze8HjX0GNvoYM5+XiwNd9atBilx/v/HqAnWeiaf/FBt7pWInutYqoLfvDlpYK0Wf+0TTixqV7sedvf5zJnH6WKePM09/+dA/UpXsiIpKvKFiJSDpHN+gzF34dBnvnwK/PQ3w4NBphyA/IJpOJLo8UoU4JH0b8vIetoVG8tmAvqw5HMK5LVXxcHbJ9zHzvalTmphE3W5dHnYTUxNsf51LgH+3Kb4QnnxJaKFdEROQGBSsR+YvFPn1dK/cA2DQeVo1JX+uq7QdgNqaDXxFvF2YPqcf360/y2cojLD8Qwc4z6/moW1WalVNb9nuWkghRoZnbld/8+lrU7Y+zON5oHFH61tblLj4Pr34REZFcSsFKRDIzmaDVu+nhatlI2Pp9epOCzt+DvZMhQ1rMJoY2LUXjMr78d+5ujl2MZ8C0bTxVrxj/176C2rL/k9UKcRcwRRyi+KVVmFduSj/rFHks/ZI+a9rtj/UonPmSvZtnoTyDDAvPIiIi+YGClYhkrd5QcPODX56Dg79CQiT0+gmcvQwbsnJhT37/TyM+WHqY6cGnmLn5NJtOXOaLnjWoUsTTsHFzrMS4vy7Xy9S6/AQkJ2AHVAM494/jHNwzX7KX8XUpcFCDEBERESMoWInI7VXuCi6+MKcvnN7410LCHoUMG9LJ3sLoxyvRooIfr8zbw8lLCXT+dhPDW5ZhaNPSWMx5rCFCagpEn87crvzm1/Hhtz/OZMHqXYyIFA8KVmiApWDZv1qXu/mpcYSIiMhDpmAlIndW8lEYsCR9IeGLB2BKa3hyARQsZ+iwjcsUZNlLTXhz0T6W7AvnkxVHWXvkEp/3rE6Qj4uhY2c7qxWuRt7aNCLyWPr9UGnJtz/WteDfmkb87f4nr2KkWE1sWbKE9i3bY7G3f3ifR0RERG5h82D1zTff8PHHHxMeHk61atX46quvqFOnzr8eN2fOHHr37k2nTp1YtGhRxnar1co777zDpEmTiI6OpmHDhkyYMIEyZcoY+ClE8rjAqjBoJfzYJT0UTG2TvpBw0L//t/ogvF0d+KbPIyzceZ53fjvA9tNXaDt+Pe88XonuNXNgW/bk6xB14tYzT5HH4Xr07Y+zc/qrUcQ/F82906WXyXcIZCIiIvJQ2TRYzZ07lxEjRjBx4kTq1q3L+PHjadOmDUeOHMHP7/bdwE6dOsUrr7xC48aNb3nto48+4ssvv+SHH36gRIkSvP3227Rp04aDBw/i5GTMjfci+YJ3sRsLCfeA89vhh8eh+zQo187QYU0mE11r3mzLvpttp67w2vy9rD50kfe7VHn4bdnT0tLXdoq8ca/T389CRZ8FrLc50JTeICLTmacbX3sUAbP5YX4KERERyWY2DVafffYZQ4YMYcCAAQBMnDiRxYsXM3XqVN54440sj0lNTaVv3768++67bNiwgejo6IzXrFYr48eP56233qJTp04AzJgxA39/fxYtWkSvXr0M/0wieZprAXj6N5jXH46tgDl94LHxUPNpw4cO8nFhzjP1+W79CT5feZRlB8LZceYKn3SvxqNlC2b/gNdjsm4aEXkcUq7d/jgnzyyaRpROP/tk75z9dYqIiEiOYLNglZSUxI4dOxg5cmTGNrPZTMuWLQkJCbntcWPGjMHPz49BgwaxYcOGTK+FhoYSHh5Oy5YtM7Z5enpSt25dQkJCbhusEhMTSUz8a3HM2NhYAJKTk0m28aU2N8e3dR15leb3PpgcoOsPWJa8jHnvLPj9RVJjwkhr9PItDROMmN8hDYvRoIQ3L8/fx4lLCTw9dStP1Q3i1dZl770te2oyRJ/CFHkCU9RxTJHHIepE+vOEi7c9zGq2B+/iWH1KYS1QGuuNS/isPqXSm33c7hLFbP4+0/evsTS/xtL8Gk9zbCzNr7Fy0vzebQ02C1aXL18mNTUVf3//TNv9/f05fPhwlsds3LiRKVOmsHv37ixfDw8Pz3iPf77nzdeyMm7cON59991btq9YsQIXl5xxk/zKlSttXUKepvm9D+Y2lPePp1zEb1jWf8CZg1vZW6QfmG69pM2I+X2uBPxuMbM+3MzMLWdZsfcMT5VOJcjtHztarTimxOCWGI7b9Qu4JYbjej0c98QLuCRewkzqbce4budFvFMA8Y6Bf/3pGMBVx4JYTTdCXCIQBoRFAXdYgNdA+v41lubXWJpf42mOjaX5NVZOmN+rV6/e1X42b15xt+Li4njqqaeYNGkSvr6+2freI0eOZMSIERnPY2NjCQoKonXr1nh4eGTrWPcqOTmZlStX0qpVK+zV9SvbaX4fVAdSt0/FvPx1SlxeTTEfJ1Kf+C7jkjej5/cJYMOxy7zxywFi4mJZdjCCFyqn0tIvDsuV9Mv2TFHHMSXG3fY9rPYu4FMKa4FSWH1unH26cSbK4uiOJ5BTV9DS96+xNL/G0vwaT3NsLM2vsXLS/N68mu3f2CxY+fr6YrFYiIiIyLQ9IiKCgICAW/Y/ceIEp06domPHjhnb0tLSALCzs+PIkSMZx0VERBAYGJjpPatXr37bWhwdHXF0dLxlu729vc3/Im/KSbXkRZrfB1D/WfAMgAWDMR9dgnl2d+g9G1x8MnbJtvlNS4WYczfueUq//6l55DE2Ox3DnHw+fZ8jNx6ZmMCr6F/d9v7WQMLkUQhMJnJYf8F7ou9fY2l+jaX5NZ7m2FiaX2PlhPm92/FtFqwcHByoWbMmq1at4oknngDSg9KqVasYNmzYLfuXL1+effv2Zdr21ltvERcXxxdffEFQUBD29vYEBASwatWqjCAVGxvLli1bGDp0qNEfSST/qtgJXArA7D5wdjNMa5e+1pWL/78fm5VrV/5a5ynTwrknIDXxlt1vXnyYaO/JoSR/jqUGcM5ShLq161C/dl1MPiXBXl1BRURExDg2vRRwxIgRPP3009SqVYs6deowfvx4EhISMroE9uvXj8KFCzNu3DicnJyoXLlypuO9vLwAMm0fPnw4Y8eOpUyZMhnt1gsVKpQR3kTEIMUbwcCl8GNXuHQYJreC3j/ffv+UJLgS+rfQdOyvMHU18vbHWRzAp+Tf1nv6a9FcRxcfCkRdZezc3Ww/fQU2Qrvoa7zf2Yy3fpkoIiIiBrJpsOrZsyeXLl1i1KhRhIeHU716dZYtW5bRfOLMmTOY73Ftl9dee42EhASeeeYZoqOjadSoEcuWLdMaViIPg3+lvxYSvnwUuxkd8Cs0GNMpd4gOvdGu/Ebr8ujTYE27/Xu5F8rcrvxmiPIqCubbd/8L8nFh7rP1mbguvS370v3h7Dh9hY+NassuIiIiQg5oXjFs2LAsL/0DWLt27R2PnT59+i3bTCYTY8aMYcyYMdlQnYjcM68gGLgcZvXEdG4r9U9+Cic/zXpfB7d/nHm68bVPKXD8Z3u/u2cxm3ihWWmalCnI8Lm7Mtqy929QnDfalcfJ/h7bsouIiIj8C5sHKxHJg1x8oN+vpP36AtaDv2P2KoLJt2zmRXN9y4Cb/+3XfMoGVYp48sd/GvPB0kP8EHKa6cGn2Hj8MuN7Vqdy4Zza609ERERyIwUrETGGgwupT3zPEvvFtO/QwWYdfZwdLLzbqTLNyvvx6vy9HL8YT+dvN/HfVmV5tkkpLObc3A9QREREcop7u4FJROReGXhG6l40LefH8uFNaFspgORUKx8tO0Lv7zdzNuruFv0TERERuRMFKxHJN3xcHZjw5CN81K0qrg4Wtp6Kot0XG1iw4xxWq9XW5YmIiEgupmAlIvmKyWSiR60glr7UhFrFvIlPTOHleXsYNmsX0VeTbF2eiIiI5FIKViKSLxUtkN6W/dU25bAzm1i87wJtxq9nw7FLti5NREREciEFKxHJt262ZV/4fANKFnQlIjaRp6ZsZfRvB7ienGrr8kRERCQXUbASkXyvahEvFv+nMf3qFwNgevApOn61kQNhMTauTERERHILBSsREdLbso/pVJlpA2pT0N2RYxfjeeKbTUxYe4LUNDW2EBERkTtTsBIR+ZtmN9qyt67oT3KqlQ+XHab3pM2cu6K27CIiInJ7ClYiIv/g4+rAd0/V5KOuN9qyh0bRbvwGFu5UW3YRERHJmoKViEgWTCYTPWqnt2WvWcybuMQURvy8h2Gz1ZZdREREbqVgJSJyB0ULuDD3mXq83Kpselv2vRdoO34DG49dtnVpIiIikoMoWImI/As7i5n/tCiT3pbd15Xw2Os8OWULY34/qLbsIiIiAtxnsDp79iznzp3LeL5161aGDx/O999/n22FiYjkNFWLePHHi414sl5RAKZuCuXxrzdyMCzWxpWJiIiIrd1XsOrTpw9r1qwBIDw8nFatWrF161befPNNxowZk60FiojkJC4Odox9ogrT+tfG182RoxHxdPpmI9+tU1t2ERGR/Oy+gtX+/fupU6cOAD///DOVK1cmODiYn376ienTp2dnfSIiOVKz8n4sH96YVjfaso9bepg+assuIiKSb91XsEpOTsbR0RGAP//8k8cffxyA8uXLc+HCheyrTkQkByvg5sj3T9Xkw65VcHGwsOVGW/ZFu86rLbuIiEg+c1/BqlKlSkycOJENGzawcuVK2rZtC0BYWBgFChTI1gJFRHIyk8lEz9pFWfpSY2oU9SIuMYXhc3fzn9m7iLmabOvyRERE5CG5r2D14Ycf8t1339G0aVN69+5NtWrVAPjtt98yLhEUEclPihVwZd6z9RnRqiwWs4k/9l6gzfj1bDqutuwiIiL5gd39HNS0aVMuX75MbGws3t7eGdufeeYZXFxcsq04EZHcxM5i5sUWZWhStiD/nbub0MsJ9J28hUGNSvBqm3I42VtsXaKIiIgY5L7OWF27do3ExMSMUHX69GnGjx/PkSNH8PPzy9YCRURym+pBXix+sRF966a3ZZ+yMZROX29SW3YREZE87L6CVadOnZgxYwYA0dHR1K1bl08//ZQnnniCCRMmZGuBIiK5kYuDHf/rXIWp/Wvh6+bAkYg4nvhmE9+vP0Ga2rKLiIjkOfcVrHbu3Enjxo0BmD9/Pv7+/pw+fZoZM2bw5ZdfZmuBIiK5WfPy/iwb3oSWFfxJSk3j/SWH6TN5M+ejr9m6NBEREclG9xWsrl69iru7OwArVqygS5cumM1m6tWrx+nTp7O1QBGR3M7XzZFJ/WryQZf0tuybT0bRdvx6ft193taliYiISDa5r2BVunRpFi1axNmzZ1m+fDmtW7cG4OLFi3h4eGRrgSIieYHJZKJXnaIsebEx1YO8iLuewktz1JZdREQkr7ivYDVq1CheeeUVihcvTp06dahfvz6QfvaqRo0a2VqgiEheUtzXlfnP1ee/LdPbsv++J4y2X6wnWG3ZRUREcrX7ClbdunXjzJkzbN++neXLl2dsb9GiBZ9//nm2FScikhfZWcy81LIM85+rT/ECLlyIuU6fyVsY+8dBrien2ro8ERERuQ/3FawAAgICqFGjBmFhYZw7dw6AOnXqUL58+WwrTkQkL6tR1JslLzWmz4227JM3hvLEN5s4HK627CIiIrnNfQWrtLQ0xowZg6enJ8WKFaNYsWJ4eXnx3nvvkZaWlt01iojkWS4OdrzfuQqT+9WigKsDh8PjePyrTUxaf1Jt2UVERHKR+wpWb775Jl9//TUffPABu3btYteuXbz//vt89dVXvP3229ldo4hInteyoj/L/9uElhX8SEpN439LDtF38hbC1JZdREQkV7ivYPXDDz8wefJkhg4dStWqValatSrPP/88kyZNYvr06dlcoohI/pDelr0W47pUwdneQsjJSNqOX89ve8JsXZqIiIj8i/sKVlFRUVneS1W+fHmioqIeuCgRkfzKZDLRu05RlryU3pY99noKL87exUtzdhFzTW3ZRUREcqr7ClbVqlXj66+/vmX7119/TdWqVR+4KBGR/K7Ejbbsw1uWwWI28evuMNqNX0/wCbVlFxERyYns7uegjz76iA4dOvDnn39mrGEVEhLC2bNnWbJkSbYWKCKSX9lZzAxvWZZHyxbkv3N3cyryKn0nb2FI45K83Lrs/bd1FRERkWx3X/9ffvTRRzl69CidO3cmOjqa6OhounTpwoEDB5g5c2Z21ygikq/VKOrN4hcb07tOUaxW+H79STp9vYkj4XG2Lk1ERERuuK8zVgCFChXif//7X6Zte/bsYcqUKXz//fcPXJiIiPzF1dGOcV2q0Ly8H28s2Mvh8Dg6T9xMhyIm2qotu4iIiM3pShIRkVykVUV/lg1vQovyfiSnWll02kL/H3ZwIUZt2UVERGxJwUpEJJcp6O7I5KdrMebxCjiYrYScjKLN52rLLiIiYksKViIiuZDJZKJ37SBerZpK1cIeGW3Zh6stu4iIiE3c0z1WXbp0uePr0dHRD1KLiIjcIz9nmDOkDhM3nObr1cdYtDuMraFRfNqjOvVLFbB1eSIiIvnGPQUrT0/Pf329X79+D1SQiIjcG3uLmRGtytK0XHpb9tORV+kzeTPPNC7JiNZlcbSz2LpEERGRPO+egtW0adOMqkNERB7QI0W9WfJiY9774yBztp3lu/UnWX/sMuN7VqdcgLutyxMREcnTdI+ViEge4upoxwddq/L9UzXxcXXg0IVYOn69kSkbQ0lTW3YRERHDKFiJiORBrSsFsGx4Y5qVK0hSShrv/XGQp6ZuUVt2ERERgyhYiYjkUX7uTkztX5uxT1TGyd7MpuORtB2/gT/2qi27iIhIdlOwEhHJw0wmE0/WK8biFxtTtYgnMdeSGTZrF/+du5vY62rLLiIikl0UrERE8oFSBd1YMLQBLzYvjdkEv+w6T7vxG9hyMtLWpYmIiOQJClYiIvmEvcXMiNblmPdcA4r6uHA++hq9Jm1m3NJDJKak2ro8ERGRXE3BSkQkn6lZzJslLzWmZ60grFb4bt1JnvgmmKMRcbYuTUREJNdSsBIRyYfcHO34sFtVvvtbW/bHvtrIVLVlFxERuS8KViIi+VibG23Zm95oyz7mj4M8PW0r4THXbV2aiIhIrqJgJSKSz/m5OzGtf23e61QJJ3szG45dps349Szee8HWpYmIiOQaClYiIoLJZOKp+sVZ/GJjqhROb8v+wqydjPhZbdlFRETuhoKViIhkKFXQjYXPN+A/N9qyL9yZ3pZ9a2iUrUsTERHJ0RSsREQkE3uLmZdbl2Pec/UJ8nHmfPQ1en4fwofLDpOUkmbr8kRERHIkBSsREclSzWI+LH2pCT1qFcFqhQlrT9D5200cU1t2ERGRWyhYiYjIbbk52vFRt2pMfLIm3i72HAhLb8s+fZPasouIiPydgpWIiPyrtpUDWD68CY+WLUhiShqjf09vyx4Rq7bsIiIioGAlIiJ3yc/DiekD0tuyO9r91ZZ9yT61ZRcREVGwEhGRu/b3tuyVC3sQfTWZ53/aycs/7yFObdlFRCQfU7ASEZF7VtrPjYVDG/JCs1KYTbBg5znafaG27CIikn8pWImIyH1xsDPzapvy/Pxselv2c1fS27J/pLbsIiKSD9k8WH3zzTcUL14cJycn6taty9atW2+778KFC6lVqxZeXl64urpSvXp1Zs6cmWmf/v37YzKZMj3atm1r9McQEcm3ahX3YcmLjelWM70t+7drT9BlwiaOX1RbdhERyT9sGqzmzp3LiBEjeOedd9i5cyfVqlWjTZs2XLx4Mcv9fXx8ePPNNwkJCWHv3r0MGDCAAQMGsHz58kz7tW3blgsXLmQ8Zs+e/TA+johIvuXuZM8n3asx8clH8HKxZ//5WDp8uZEfgk9htaotu4iI5H12thz8s88+Y8iQIQwYMACAiRMnsnjxYqZOncobb7xxy/5NmzbN9Pyll17ihx9+YOPGjbRp0yZju6OjIwEBAXddR2JiIomJiRnPY2NjAUhOTiY52bY3Y98c39Z15FWaX2Npfo2VE+e3RTlf/nihPiN/OcCG45G889sB/jwYzrjOlfD3cLJ1efckJ85vXqL5NZ7m2FiaX2PlpPm92xpMVhv9KjEpKQkXFxfmz5/PE088kbH96aefJjo6ml9//fWOx1utVlavXs3jjz/OokWLaNWqFZB+KeCiRYtwcHDA29ub5s2bM3bsWAoUKHDb9xo9ejTvvvvuLdtnzZqFi4vL/X1AEZF8zGqFDeEmfjttJtlqwsXOSq+SaVQroLNXIiKSu1y9epU+ffoQExODh4fHbfezWbAKCwujcOHCBAcHU79+/Yztr732GuvWrWPLli1ZHhcTE0PhwoVJTEzEYrHw7bffMnDgwIzX58yZg4uLCyVKlODEiRP83//9H25uboSEhGCxWLJ8z6zOWAUFBXH58uU7Tt7DkJyczMqVK2nVqhX29vY2rSUv0vwaS/NrrNwwv8cvxvPy/H0cvJB+v1WXGoV4q3153J1sesHEXckN85ubaX6Npzk2lubXWDlpfmNjY/H19f3XYJXz/8/2D+7u7uzevZv4+HhWrVrFiBEjKFmyZMZlgr169crYt0qVKlStWpVSpUqxdu1aWrRokeV7Ojo64ujoeMt2e3t7m/9F3pSTasmLNL/G0vwaKyfPb4XC3ix6oRHj/zzKhHUnWLgrjK2nrvB5z+rULu5j6/LuSk6e37xA82s8zbGxNL/Gygnze7fj26x5ha+vLxaLhYiIiEzbIyIi7nh/lNlspnTp0lSvXp2XX36Zbt26MW7cuNvuX7JkSXx9fTl+/Hi21S4iInfPwc7Ma23T27IX8b7Rlv27ED5errbsIiKSd9gsWDk4OFCzZk1WrVqVsS0tLY1Vq1ZlujTw36SlpWW6jO+fzp07R2RkJIGBgQ9Ur4iIPJjaxX1Y+lJjuj5ShDQrfLPmZlv2eFuXJiIi8sBs2m59xIgRTJo0iR9++IFDhw4xdOhQEhISMroE9uvXj5EjR2bsP27cOFauXMnJkyc5dOgQn376KTNnzuTJJ58EID4+nldffZXNmzdz6tQpVq1aRadOnShdunSmroEiImIb7k72fNqjGhP6/tWW/bGvNjAjRG3ZRUQkd7PpPVY9e/bk0qVLjBo1ivDwcKpXr86yZcvw9/cH4MyZM5jNf2W/hIQEnn/+ec6dO4ezszPly5fnxx9/pGfPngBYLBb27t3LDz/8QHR0NIUKFaJ169a89957Wd5DJSIittGuSiCPFPPmlXl72HDsMqN+PcCqQxf5uFtV/HJZW3YRERHIAc0rhg0bxrBhw7J8be3atZmejx07lrFjx972vZydnW9ZLFhERHImfw8nfhhQhxkhpxi39DDrjl6izfj1jOtSlbaV734tQhERkZzAppcCiohI/mY2m+jfsAR//KcRFQM9uHI1med+3MGr8/YQn5hi6/JERETumoKViIjYXBl/dxa90JChTUthMsG8Hedo/8UGdpyOsnVpIiIid0XBSkREcgQHOzOvty3PnCH1KOzlzJmoq3SfGMIny4+QnKq27CIikrMpWImISI5St2QBlg5vTJdHCpNmha/XHKfrhGBOXFJbdhERybkUrEREJMfxcLLnsx7V+abPI3g627P3XAwdvtzATLVlFxGRHErBSkREcqwOVQNZPrwJjcv4cj05jbd/PcCA6du4GHfd1qWJiIhkomAlIiI5WoBnelv2dzpWxMHOzNojl2g7fgPLD4TbujQREZEMClYiIpLjmc0mBvytLXtUQhLPztzB6/P3qi27iIjkCApWIiKSa5T1d+eXFxrw3KPpbdnnbj97oy37FVuXJiIi+ZyClYiI5CqOdhbeaPfPtuzBfLZCbdlFRMR2FKxERCRXymjLXiO9LfuXq4/TbUIwJ9WWXUREbEDBSkREci0PJ3s+61mdr/vUwNPZnj3nYmj/5QZ+3HxabdlFROShUrASEZFc77GqhVg+vAmNSqe3ZX9r0X4G/bCdS3GJti5NRETyCQUrERHJEwI8nZgxsA5vP5beln314Yu0Gb+eFWrLLiIiD4GClYiI5Blms4lBjUrw+7BGVLjRlv2ZmTt4Y8FeEtSWXUREDKRgJSIieU65AHcWvdCAZ5uUxGSCOdvO0v5LtWUXERHjKFiJiEie5GhnYWT7Csy+0Zb9dOSNtuwrj6otu4iIZDsFKxERydPqlSzAkpca80T1Qult2VcdU1t2ERHJdgpWIiKS53k62zO+Vw2+6l0DDyc79pyLocOXG/lpi9qyi4hI9lCwEhGRfKNjtUIs/28TGpQqwLXkVN78ZT+D1ZZdRESygYKViIjkK4Gezvw4qC5vdaiAg52ZVYcv0nb8ev48GGHr0kREJBdTsBIRkXzHbDYxuHFJfhvWkPIB7kQmJDF4xnZGLlRbdhERuT8KViIikm+VD/Dg12ENeeZGW/bZW8/S4csN7DqjtuwiInJvFKxERCRfc7Sz8H/tK/DT4LoU8nTiVORVuk0M4cvVx0lVXwsREblLClYiIiJAg1K+LB3ehE7VC5GaZuWrNSf5Yr+FLaFR6hwoIiL/SsFKRETkBk9ne77oVYMvelXH3cmO0/Emnpy6nce/3sSvu89rYWEREbktBSsREZF/6FS9MIuHNaChfxqOdmb2nY/hpTm7efSjNXy//gSx15NtXaKIiOQwClYiIiJZCPR0okfJNNa/0oQRrcri6+ZAWMx13l9ymPrvr2LM7wc5G3XV1mWKiEgOoWAlIiJyBz6uDrzYogwbX2/OR12rUtbfjYSkVKZuCuXRj9fwwk871UVQRESws3UBIiIiuYGTvYUetYPoXqsI649dZvKGk2w4dpnF+y6weN8FahXzZnDjErSqGIDFbLJ1uSIi8pApWImIiNwDk8nEo2UL8mjZghy6EMuUjaH8uvs8209fYfvpKxQr4MLAhiXoVrMIro7636yISH6hSwFFRETuU4VADz7pXo1NrzdnWLPSeLnYczryKu/8doAGH6zmw2WHiYi9busyRUTkIVCwEhEReUB+Hk680qYcwW80571OlShewIWYa8lMWHuCRh+uZsTPuzkYFmvrMkVExEC6RkFERCSbuDjY8VT94vSpW4xVhyKYvCGUraeiWLjzPAt3nqdh6QIMblSSR8sWxKz7sERE8hQFKxERkWxmMZtoXSmA1pUC2HM2mskbQ1my7wKbjkey6Xgkpf3cGNyoBE/UKIyTvcXW5YqISDbQpYAiIiIGqhbkxVe9a7Du1aYMaVwCN0c7jl+M542F+2j4wWrG/3mUyPhEW5cpIiIPSMFKRETkISji7cKbHSoSMrI5b3WoQGEvZyITkhj/5zHqf7CakQv3cvxivK3LFBGR+6RgJSIi8hC5O9kzuHFJ1r3alK9616BaEU+SUtKYvfUsLT9bx8Dp2wg+fhmr1WrrUkVE5B7oHisREREbsLOY6VitEI9VDWT76StMWn+SlYciWH34IqsPX6RioAdDmpSgQ5VCONjp96AiIjmdgpWIiIgNmUwmahf3oXZxH0IvJzBtUyjztp/j4IVY/jt3Dx8uPcLTDYrTp05RPF3sbV2uiIjchn4FJiIikkOU8HVlTKfKhIxszqttylHQ3ZHw2Ot8uOww9T9YxejfDnAm8qqtyxQRkSwoWImIiOQwXi4OvNCsNBtfb8Yn3atRPsCdq0mpTA8+RdNP1jD0xx3sOB1l6zJFRORvdCmgiIhIDuVoZ6FbzSJ0faQwm45HMmnDSdYdvcTS/eEs3R9OjaJeDGlcktYV/bGz6HelIiK2pGAlIiKSw5lMJhqV8aVRGV+ORsQxZUMov+w6z64z0Tz/006KeDszsGEJetQOws1R/2sXEbEF/XpLREQkFynr786H3aqy6Y3mvNi8NN4u9py7co0xfxyk/rhVjFtyiAsx12xdpohIvqNgJSIikgsVdHdkROtyhIxswf86V6akrytx11P4bv1JGn+4hpfm7GL/+Rhblykikm/oegEREZFczMneQt+6xehduyhrjlxk0oaTbD4Zxa+7w/h1dxj1SvowpHFJmpXzw2w22bpcEZE8S8FKREQkDzCbTbSo4E+LCv7sPx/D5A0n+WPvBTafjGLzyShKFnRlUKMSdH2kCE72FluXKyKS5+hSQBERkTymcmFPxveqwfrXmvFsk5K4O9lx8lICb/6ynwYfrOazFUe4FJdo6zJFRPIUBSsREZE8qpCXMyPbVyBkZAtGPVaRIt7ORCUk8eXq4zT8YDWvzd/D0Yg4W5cpIpIn6FJAERGRPM7N0Y6BjUrQr34xVhyMYNKGk+w6E83P28/x8/ZzPFq2IIMbl6BRaV9MJt2HJSJyPxSsRERE8gk7i5n2VQJpXyWQHaejmLwhlOUHwll39BLrjl6ifIA7gxuXpGO1QBztdB+WiMi9ULASERHJh2oW86FmMR9ORyYwbdMpft5+lsPhcbwybw8fLTvM0w2K07duUbxcHGxdqohIrqB7rERERPKxYgVcGf14JULeaMHrbcvj7+HIxbhEPl5+hPrjVjPq1/2cupxg6zJFRHI8BSsRERHB08WeoU1LseG15nzesxoVAz24lpzKjJDTNPt0Lc/M2M7W0CisVqutSxURyZF0KaCIiIhkcLAz07lGEZ6oXpiQE5FM2nCSNUcuseJgBCsORlCtiCeDG5ekXeUA7Cz6/ayIyE0KViIiInILk8lEg9K+NCjty/GLcUzZGMqCnefZcy6G/8zeRWEvZwY0LE7P2kG4O9nbulwREZvTr5pERETkjkr7uTOuS1WC32jO8JZlKODqwPnoa4xdfIgG41bzv8UHOR99zdZliojYlIKViIiI3BVfN0eGtyzLpjea80GXKpT2cyMuMYVJG0Jp8tEa/jN7F3vORtu6TBERm9ClgCIiInJPnOwt9KpTlB61glh39BKTN55k0/FIft8Txu97wqhT3IfBjUvQooI/FrMWHBaR/EHBSkRERO6L2WyiWXk/mpX340BYDFM2hPLbnjC2nopi66koihdwYVCjEnStWQQXB/3IISJ5my4FFBERkQdWqZAnn/WszsbXmzO0aSk8nOw4FXmVt389QIMPVvPx8sNcjL1u6zJFRAxj82D1zTffULx4cZycnKhbty5bt2697b4LFy6kVq1aeHl54erqSvXq1Zk5c2amfaxWK6NGjSIwMBBnZ2datmzJsWPHjP4YIiIiAgR4OvF62/KEjGzBu49XoqiPC9FXk/lmzQkafbiGV+bt4dCFWFuXKSKS7WwarObOncuIESN455132LlzJ9WqVaNNmzZcvHgxy/19fHx48803CQkJYe/evQwYMIABAwawfPnyjH0++ugjvvzySyZOnMiWLVtwdXWlTZs2XL+u35KJiIg8LK6OdjzdoDhrXmnKxCcfoVYxb5JS05i/4xztvthA/+k7OBRt0oLDIpJn2DRYffbZZwwZMoQBAwZQsWJFJk6ciIuLC1OnTs1y/6ZNm9K5c2cqVKhAqVKleOmll6hatSobN24E0s9WjR8/nrfeeotOnTpRtWpVZsyYQVhYGIsWLXqIn0xEREQALGYTbSsHMn9oA355vgEdqgRiNsGmE5FMPGShw9fB/LztLIkpqbYuVUTkgdjsTtKkpCR27NjByJEjM7aZzWZatmxJSEjIvx5vtVpZvXo1R44c4cMPPwQgNDSU8PBwWrZsmbGfp6cndevWJSQkhF69emX5XomJiSQmJmY8j41Nv0QhOTmZ5OTk+/p82eXm+LauI6/S/BpL82ssza+xNL/Zr3KgG+N7VOGVVqWZtimUudvOcuxiAq8t2MtHyw/Tt04QfeoE4ePqYOtS8wR9DxtL82usnDS/d1uDyWqjc/BhYWEULlyY4OBg6tevn7H9tddeY926dWzZsiXL42JiYihcuDCJiYlYLBa+/fZbBg4cCEBwcDANGzYkLCyMwMDAjGN69OiByWRi7ty5Wb7n6NGjeffdd2/ZPmvWLFxcXB7kY4qIiMhtXE2BzRdNrLtgJjopvS27vdlKnYJWHg1Mw9/ZxgWKiABXr16lT58+xMTE4OHhcdv9cl3vU3d3d3bv3k18fDyrVq1ixIgRlCxZkqZNm973e44cOZIRI0ZkPI+NjSUoKIjWrVvfcfIehuTkZFauXEmrVq2wt7e3aS15kebXWJpfY2l+jaX5NdbN+R33dEswW1i6P4Kpwac4EBbHpggTmyLMNC9XkIENi1GnuDcmk9bDulf6HjaW5tdYOWl+b17N9m9sFqx8fX2xWCxERERk2h4REUFAQMBtjzObzZQuXRqA6tWrc+jQIcaNG0fTpk0zjouIiMh0xioiIoLq1avf9j0dHR1xdHS8Zbu9vb3N/yJvykm15EWaX2Npfo2l+TWW5tdYN+e3a62idKkZxJbQKCZvOMmfhy6y+sglVh+5ROXCHgxpXJL2VQKxt9i8oXGuo+9hY2l+jZUT5vdux7fZv04ODg7UrFmTVatWZWxLS0tj1apVmS4N/DdpaWkZ90eVKFGCgICATO8ZGxvLli1b7uk9RURE5OEzmUzUK1mAyU/XZtXLj9K3blEc7czsPx/LS3N20+SjNXy37gQx12x/z4WIyD/Z9FLAESNG8PTTT1OrVi3q1KnD+PHjSUhIYMCAAQD069ePwoULM27cOADGjRtHrVq1KFWqFImJiSxZsoSZM2cyYcIEIP0f5OHDhzN27FjKlClDiRIlePvttylUqBBPPPGErT6miIiI3KNSBd34X+cqvNy6HD9uPs2MkFNciLnOuKWH+XLVMXrWLsqAhsUJ8tG90CKSM9g0WPXs2ZNLly4xatQowsPDqV69OsuWLcPf3x+AM2fOYDb/dVItISGB559/nnPnzuHs7Ez58uX58ccf6dmzZ8Y+r732GgkJCTzzzDNER0fTqFEjli1bhpOT00P/fCIiIvJgfFwdeLFFGZ5pUpLfdocxeeNJjkbEM3VTKNODQ2lXOZDBjUtQo6i3rUsVkXzO5s0rhg0bxrBhw7J8be3atZmejx07lrFjx97x/UwmE2PGjGHMmDHZVaKIiIjYmJO9hR61g+heqwjrj11m8oaTbDh2mcX7LrB43wVqFvNmSOMStKoYgMWsRhci8vDZPFiJiIiI3C2TycSjZQvyaNmCHLoQy5SNofy6+zw7Tl9hx+krFPVxYWDD4nSvFYSro37MEZGHR611REREJFeqEOjBJ92rsen15gxrVhovF3vORF1l9O8HqT9uFR8uO0x4zHVblyki+YSClYiIiORqfh5OvNKmHMFvNOe9TpUoXsCF2OspTFh7gkYfrmbE3N0cCIuxdZkiksfpHLmIiIjkCS4OdjxVvzh96hZj1aEIJm8IZeupKBbuOs/CXedpUKoAQxqX5NGyBTHrPiwRyWYKViIiIpKnWMwmWlcKoHWlAPacjWbyxlCW7LtA8IlIgk9EUtrPjUGNStC5RmGc7C22LldE8ghdCigiIiJ5VrUgL77qXYN1rzZlSOMSuDnacfxiPCMX7qPhB6sZ/+dRLscn2rpMEckDFKxEREQkzyvi7cKbHSoSMrI5b3WoQGEvZyITkhj/5zEafLCakQv3cvxinK3LFJFcTMFKRERE8g13J3sGNy7Juleb8lXvGlQr4klSShqzt56l5WfrGTBtK8HHL2O1Wm1dqojkMrrHSkRERPIdO4uZjtUK8VjVQLafvsKk9SdZeSiCNUcusebIJSoGejC4cQkeq1oIBzv9HlpE/p2ClYiIiORbJpOJ2sV9qF3ch9DLCUzbFMq87ec4eCGWET/v4cNlh+nfoAR96hTF08Xe1uWKSA6mX8GIiIiIACV8XRnTqTIhI5vzaptyFHR3JCI2kQ+XHab+B6sY/dsBTkcm2LpMEcmhFKxERERE/sbLxYEXmpVm4+vN+KR7NcoHuHM1KZXpwado+slanpu5gx2no2xdpojkMLoUUERERCQLjnYWutUsQtdHCrPpeCSTNpxk3dFLLDsQzrID4dQo6sXgRiVpU8kfO4t+Vy2S3ylYiYiIiNyByWSiURlfGpXx5WhEHFM2hPLLrvPsOhPNC7N2UsTbmQENS9CzdhBujvrRSiS/0q9XRERERO5SWX93PuxWlU1vNOfF5qXxdrHn3JVrvPfHQeqPW8W4JYcIi75m6zJFxAYUrERERETuUUF3R0a0LkfIyBb8r3NlSvq6Enc9he/Wn6TJR2t4ac4u9p+PsXWZIvIQ6Xy1iIiIyH1ysrfQt24xetcuypojF5m04SSbT0bx6+4wft0dRr2SPgxuVJLm5f0wm022LldEDKRgJSIiIvKAzGYTLSr406KCP/vPxzB5w0n+2HuBzSej2HwyipK+rgxsVIKujxTB2cFi63JFxAC6FFBEREQkG1Uu7Mn4XjVY/1oznm1SEncnO05eTuCtRftp8MEqPltxhEtxibYuU0SymYKViIiIiAEKeTkzsn0FQka2YNRjFSni7cyVq8l8ufo4DT9YzWvz93A0Is7WZYpINtGlgCIiIiIGcnO0Y2CjEvSrX4wVByOYtOEku85E8/P2c/y8/RxNyhZkSOMSNCrti8mk+7BEcisFKxEREZGHwM5ipn2VQNpXCWTH6Sgmbwhl+YFw1h+9xPqjlygf4M6gRiV4vHohHO10H5ZIbqNgJSIiIvKQ1SzmQ81iPpyOTGDaplP8vP0sh8PjeHX+Xj5afoT+DYrTp05RvF0dbF2qiNwl3WMlIiIiYiPFCrgy+vFKhLzRgtfblsffw5FLcYl8vPwIDT5YzduL9hN6OcHWZYrIXVCwEhEREbExTxd7hjYtxYbXmvN5z2pUDPTgWnIqMzefpvmnaxkyYztbQ6OwWq22LlVEbkOXAoqIiIjkEA52ZjrXKMIT1QsTciKSSRtOsubIJVYejGDlwQiqFfFkUOOStK8cgJ1Fvx8XyUkUrERERERyGJPJRIPSvjQo7cvxi3FM2RjKgp3n2XMuhhdn7+JDL2cGNCxOj9pBeDjZ27pcEUGXAoqIiIjkaKX93BnXpSrBbzRneMsyFHB14Hz0NcYuPkSDcasZ+8dBzkdfs3WZIvmegpWIiIhILuDr5sjwlmXZ9EZzPuhShdJ+bsQnpjB5YyhNPlrDsFk72XM22tZliuRbuhRQREREJBdxsrfQq05RetQKYt3RS0zeeJJNxyP5Y+8F/th7gdrFvRncuCSPlvaxdaki+YqClYiIiEguZDabaFbej2bl/TgQFsOUDaH8tieMbaeusO3UDor5uFDJ1UTZi/FUKOxt63JF8jwFKxEREZFcrlIhTz7rWZ3X2pbnh5BT/LT5NKejrnI6ysKSr4Ip7edG+8oBtK0cSIVAd0wmk61LFslzFKxERERE8ogATydeb1ueYc1K8+uuc/y4dh/H4iwcvxjPl6uP8+Xq4xQv4ELbyoG0qxxA1SKeClki2UTBSkRERCSPcXW0o3vNwrhG7KFRsxasPxHFkn3hrDt6iVORV5m47gQT152gsJczbSsH0L5KADWCvDGbFbJE7peClYiIiEge5uFsT+caRehcowjxiSmsOXyRZfvDWX34IuejrzFlYyhTNobi7+FI20rplwvWKeGDRSFL5J4oWImIiIjkE26OdnSsVoiO1QpxLSmVdUcvsWz/Bf48dJGI2ER+CDnNDyGn8XVzoFXF9DNZ9UoWwN6iFXpE/o2ClYiIiEg+5OxgoW3lANpWDiAxJZVNxy+zZF84Kw9GcDk+idlbzzB76xm8XOxpVcGfdlUCaFjaF0c7i61LF8mRFKxERERE8jlHOwvNy/vTvLw/yalphJyIZOn+cFYcCCcyIYl5O84xb8c53B3taFHBj7aVA2lariBO9gpZIjcpWImIiIhIBnuLmSZlC9KkbEHGPlGZraFRLNt/gaX7w7kYl8ii3WEs2h2Gi4OFZuX8aFclgGbl/HB11I+Vkr/pvwARERERyZLFbKJ+qQLUL1WAdzpWYtfZKyzZF86y/eGcj77G4n0XWLzvAo52Zh4tW5B2VQJoUcEfDyd7W5cu8tApWImIiIjIvzKbTdQs5kPNYj681aECe8/FsHR/OEv3X+B05FVWHIxgxcEI7C0mGpX2pV2VQFpV8Mfb1cHWpYs8FApWIiIiInJPTCYT1YK8qBbkxetty3HoQhxLb1wuePxiPGuOXGLNkUtYzCYalCpA28oBtK4YQEF3R1uXLmIYBSsRERERuW8mk4mKhTyoWMiDl1uX41hE3I0zWeEcuhDLhmOX2XDsMm8v2k/t4j60q5y+VlaAp5OtSxfJVgpWIiIiIpJtyvi7U8bfnRdblOHU5YSMywX3nothS2gUW0KjGP37QR4p6kX7KoG0rRxAEW8XW5ct8sAUrERERETEEMV9XRnatBRDm5bibNRVlh9IP5O14/QVdp6JZueZaMYuPkTVIp60rRxAu8qBlPB1tXXZIvdFwUpEREREDBfk48LgxiUZ3Lgk4THXWX4gnCX7LrDtVBR7z8Ww91wMHy07QvkAd9pXCaRd5QDK+LvbumyRu6ZgJSIiIiIPVYCnE083KM7TDYpzOT6RFQciWLr/AsEnIjkcHsfh8Dg+W3mU0n5uN+7JCqBioAcmk8nWpYvcloKViIiIiNiMr5sjfeoWpU/dolxJSGLloQiW7Q9nw7FLHL8Yz1erj/PV6uMUK+BC28oBtK8cSNUingpZkuMoWImIiIhIjuDt6kCPWkH0qBVE7PVkVh+6yJJ9F1h39BKnI6/y3bqTfLfuJIW9nG/ckxXAI0W9MZsVssT2FKxEREREJMfxcLLniRqFeaJGYRISU1hz5CJL94ez5vBFzkdfY8rGUKZsDMXP3TGj8UWdEj5YFLLERhSsRERERCRHc3W047GqhXisaiGuJ6ey7ugllu0P58+DEVyMS2RGyGlmhJymgKsDrSuln8mqX6oA9hazrUuXfETBSkRERERyDSd7C20qBdCmUgCJKakEH49kyb4LrDwUQWRCErO3nmH21jN4OtvTqqI/7SoH0KiML452FluXLnmcgpWIiIiI5EqOdhaalfejWXk/klPT2HwykqX7w1lxIJzL8UnM33GO+TvO4e5oR/MKfrSrHMijZQvi7KCQJdlPwUpEREREcj17i5nGZQrSuExB3utUmW2noli67wLLDoQTEZvIr7vD+HV3GM72FpqX96Nt5QCal/fD1VE/Dkv20HeSiIiIiOQpFrOJeiULUK9kAd7pWIldZ6NZuu8CS/eHcz76Gov3XWDxvgs42plpUrYg7asE0KKCPx5O9rYuXXIxBSsRERERybPMZhM1i3lTs5g3b3aowL7zMSzdH87SfRc4FXmVlQcjWHkwAnuLiYalfWlfOZBWFf3xdnWwdemSyyhYiYiIiEi+YDKZqFrEi6pFvHitTTkOh8dlnMk6djGetUcusfbIJSy/mKhfsgBtK6c3ySjo7mjr0iUXULASERERkXzHZDJRIdCDCoEejGhdjuMX41i6L5yl+8M5eCGWjccvs/H4Zd7+dT+1i/vQvnIAbSsHEuDpZOvSJYdSsBIRERGRfK+0nzv/aeHOf1qU4dTlBJYdSL9ccM+5GLaGRrE1NIrRvx/kkaJetKscSMvyvrYuWXIYBSsRERERkb8p7uvKc4+W4rlHS3HuylWW7Q9n2f5wtp++ws4z0ew8E83/lkCQq4WzbqF0qFaYEr6uti5bbEzBSkRERETkNop4uzC4cUkGNy5JROx1lh8IZ8m+C2wNjeJsgolPVh7jk5XHKB/gTrvKgbSrEkAZPzdMJpOtS5eHTMFKREREROQu+Hs40a9+cfrVL074lXg+n7ea82Y/Np+M4nB4HIfD4/j8z6OUKuiaEbIqBnooZOUTClYiIiIiIveogJsjDfyttG9fk4RkKysPRrBsfzgbjl3mxKUEvl5znK/XHKeojwvtqgTQrnIg1Yp4KmTlYWZbF/DNN99QvHhxnJycqFu3Llu3br3tvpMmTaJx48Z4e3vj7e1Ny5Ytb9m/f//+mEymTI+2bdsa/TFEREREJJ/ycnGge60gpvSvzfa3W/JFr+q0qeSPo52ZM1FX+W7dSZ74ZhONPlzDmN8Psv1UFGlpVluXLdnMpmes5s6dy4gRI5g4cSJ169Zl/PjxtGnThiNHjuDn53fL/mvXrqX3/7d370FR3/e/x1/LbQERAnJZxLsYVPBSNaRo+vPORU8SOmYSU8eQNK0xwYz+nNaqp/UypkftcTSd1hLbVO3EJLTGnyYnEQhi0F9Ro0VRQGIiUaPBBe8gRiTwPX+k7m+IgCzrslyej5mdcb/72S/vffGe7/B2v/vdZ5/V2LFj5e3trbVr1yo+Pl7FxcWKiIiwrUtMTNSWLVts981mvnsAAAAAzufv7aknR0boyZERqq75VrmnLimj6KL2flahr69/o815Z7Q574xCu5uVEG1R0jCLYvsFycPd5e93wEEuHazWr1+vn//853rhhRckSW+88YY++ugjbd68WYsXL75n/dtvv93g/ptvvqkdO3YoJydHzz33nG272WyWxWJxbvEAAABAM7qZPTR9eLimDw/X7do67f/8kjKLrMouKVdFVY3eOnRObx06p6BuXkqIDlNiTLjGDuwhT4asDsllg9WdO3eUn5+vJUuW2La5ublpypQpOnjwYIv2cevWLdXW1iooKKjB9tzcXIWGhiowMFCTJk3Sa6+9ph49ejS5n5qaGtXU1NjuV1ZWSpJqa2tVW1trz8t64O7+fFfX0VmRr3ORr3ORr3ORr3ORr/ORsXPZm6+7pIkP99DEh3to1bdDdPDLK8osrtCekgpdrb6jdw+f17uHzyvAx0OTBocqMTpM4wb2kNmjaw5Z7al/W1qDyTAMl5zgWVZWpoiICB04cEBxcXG27YsWLdK+ffv06aef3ncfr7zyirKyslRcXCxv7+++BTs9PV2+vr7q37+/SktLtXTpUvn5+engwYNyd3dvdD8rVqzQypUr79n+zjvvyNfXt5WvEAAAAGheXb10utKk41e/u92s/Z+LW5jdDcUEGhoRZGjIQ4a8Gv9TFk5269Yt/eQnP9GNGzfk7+/f5LoOe1XANWvWKD09Xbm5ubahSpJmzpxp+/ewYcM0fPhwDRw4ULm5uZo8eXKj+1qyZIkWLlxou19ZWanevXsrPj6+2fDaQm1trbKzszV16lR5enq6tJbOiHydi3ydi3ydi3ydi3ydj4ydyxn51tUbyv/qmjKLK/TxyXKVV9Yo/7JJ+ZclH083jX84RAlDQzUhKkR+5g77Z3yLtKf+vXs22/247DcSHBwsd3d3lZeXN9heXl5+389HrVu3TmvWrNGePXs0fPjwZtcOGDBAwcHBOn36dJODldlsbvQCF56eni7/Rd7VnmrpjMjXucjXucjXucjXucjX+cjYuR5kvp6Sxg0K07hBYVr5RIyOnb+uzKKLyiiy6sK1b5RZXK7M4nJ5ebjpPwaFaNowiyYPCVOAT+f9/baH/m3pz3fZYOXl5aXRo0crJydHycnJkqT6+nrl5ORo3rx5TT7vd7/7nX77298qKytLY8aMue/PuXDhgq5cuaLw8PAHVToAAADgVG5uJo3uG6jRfQO1dNoQFX1dqYx/D1lnLldrT0m59pSUy9PdpHGRwUqKsWjqUIuCunm5uvQuy6XvIS5cuFApKSkaM2aMYmNj9frrr6u6utp2lcDnnntOERERWr16tSRp7dq1WrZsmd555x3169dPVqtVkuTn5yc/Pz/dvHlTK1eu1IwZM2SxWFRaWqpFixYpMjJSCQkJLnudAAAAQGuZTCYN6xWgYb0C9MuEKJ0qr9LuQqsyiy7q8/Kbyj11SbmnLmnpziL9cECQkmLCFR8dptDu3vffOR4Ylw5WzzzzjC5duqRly5bJarVq5MiRyszMVFhYmCTpq6++kpvb/1wJJS0tTXfu3NFTTz3VYD/Lly/XihUr5O7urhMnTuhvf/ubrl+/rp49eyo+Pl6rVq3iu6wAAADQ4ZlMJg22+GuwxV8Lpz6s0xU3lVl0UbsLrTp5sVJ5p68o7/QV/eb9Ij3SL0hJMRYlxlgUHuDj6tI7PZd/6m3evHlNnvqXm5vb4P7Zs2eb3ZePj4+ysrIeUGUAAABA+xYZ6qd5kwZp3qRBOnelWplFVu0usur4+es6fOaqDp+5qpX/76R+0OchJcVYlBQTrt5BXPXaGVw+WAEAAABwXN8e3fTS+IF6afxAfX39G2UWfXe64L/OXdOxr67r2FfX9X92f6aYCH8lxYQrKcaiASF+ri6702CwAgAAADqZiId89OJj/fXiY/1VUXlbWcVW7S606tMzV1T0daWKvq7U/806pcGW7kqMsWjasHANCvWTyWS6/87RKAYrAAAAoBML9ffW7Lh+mh3XT1du1ujjk+XKKLLqwOnL+sxapc+sVXp9zxcaENLNdrpgdE9/hiw7MVgBAAAAXUQPP7Oeje2jZ2P76MatWmWXlCuz6KL2f35ZX16q1sZPSrXxk1L1CfK1XfhiZO+HGLJagMEKAAAA6IICfD311Oheemp0L1XdrtXezyqUUWhV7ucV+urqLW3a/6U27f9SPQO8lfDv0wVH9wmUmxtDVmMYrAAAAIAurru3p54cGaEnR0bo1p1vlXvqkjKKrNpbUq6yG7e1Je+stuSdVUh3sxKjLUqKsSi2f5A83N3uv/MugsEKAAAAgI2vl4emDQvXtGHhul1bp//+4rIyCi8qu6Rcl6pq9Nahc3rr0DkFdfNS/NAwJcZYNHZgsLw8uvaQxWAFAAAAoFHenu6aOjRMU4eG6c639TpQelkZhVZ9fNKqq9V3lH7kvNKPnJe/t4emDA3TtJhwPTYoWN6e7q4uvc0xWAEAAAC4Ly8PN02ICtWEqFD9ti5Gn565qoyii8osKtflmzX6r6Nf67+Ofi0/s4cmDQ5VUoxFE6JC5ePVNYYsBisAAAAAdvFwd9O4yGCNiwzWyidilH/umnYXXlRmkVXWytv64HiZPjheJh9Pd02IClHSsHBNGhwqP3PnHT867ysDAAAA4HTubibF9g9SbP8gLftfQ1Vw4boyi6zaXXhRF659o4wiqzKKrPLycNN/DApWUky4pgwJU4Cvp6tLf6AYrAAAAAA8EG5uJo3qE6hRfQK1JGmwissqlVF0URmFVn15uVp7Siq0p6RCHm4mjYsMVlKMRfHRFgV183J16Q5jsAIAAADwwJlMJsVEBCgmIkC/iI/S5+U3bacLniqv0r7PL2nf55f0v3cV6dH+QUoaFq6E6DCFdvd2demtwmAFAAAAwKlMJpOiLN0VZemu/5z6sEov3bSdLlhcVqkDpVd0oPSKlr1fpEf6Bmnq0BB51ri6avswWAEAAABoUwND/JQ6MVKpEyP11ZVb350uWGRVwfnrOnz2qg6fvaowH3fN+rGrK205BisAAAAALtOnh69eGj9QL40fqLLr3/z7nawy9fj2qqtLs0vX/npkAAAAAO1Gz4d89NPH+uvdn8UqqXe9q8uxC4MVAAAAgHbHZHJ1BfZhsAIAAAAABzFYAQAAAICDGKwAAAAAwEEMVgAAAADgIAYrAAAAAHAQgxUAAAAAOIjBCgAAAAAcxGAFAAAAAA5isAIAAAAABzFYAQAAAICDGKwAAAAAwEEMVgAAAADgIAYrAAAAAHAQgxUAAAAAOIjBCgAAAAAcxGAFAAAAAA5isAIAAAAAB3m4uoD2yDAMSVJlZaWLK5Fqa2t169YtVVZWytPT09XldDrk61zk61zk61zk61zk63xk7Fzk61ztKd+7M8HdGaEpDFaNqKqqkiT17t3bxZUAAAAAaA+qqqoUEBDQ5OMm436jVxdUX1+vsrIyde/eXSaTyaW1VFZWqnfv3jp//rz8/f1dWktnRL7ORb7ORb7ORb7ORb7OR8bORb7O1Z7yNQxDVVVV6tmzp9zcmv4kFe9YNcLNzU29evVydRkN+Pv7u7ypOjPydS7ydS7ydS7ydS7ydT4ydi7yda72km9z71TdxcUrAAAAAMBBDFYAAAAA4CAGq3bObDZr+fLlMpvNri6lUyJf5yJf5yJf5yJf5yJf5yNj5yJf5+qI+XLxCgAAAABwEO9YAQAAAICDGKwAAAAAwEEMVgAAAADgIAYrAAAAAHAQg1U7sHHjRvXr10/e3t569NFHdfjw4WbXb9++XYMHD5a3t7eGDRum3bt3t1GlHZM9+W7dulUmk6nBzdvbuw2r7Vj279+vxx9/XD179pTJZNKuXbvu+5zc3FyNGjVKZrNZkZGR2rp1q9Pr7KjszTc3N/ee/jWZTLJarW1TcAeyevVqPfLII+revbtCQ0OVnJysU6dO3fd5HH9brjUZcwxuubS0NA0fPtz25alxcXHKyMho9jn0b8vZmy+923pr1qyRyWTSggULml3XEfqXwcrF/v73v2vhwoVavny5jh49qhEjRighIUEVFRWNrj9w4ICeffZZvfjiizp27JiSk5OVnJysoqKiNq68Y7A3X+m7b/i+ePGi7Xbu3Lk2rLhjqa6u1ogRI7Rx48YWrT9z5oymT5+uiRMnqqCgQAsWLNDPfvYzZWVlObnSjsnefO86depUgx4ODQ11UoUd1759+5SamqpDhw4pOztbtbW1io+PV3V1dZPP4fhrn9ZkLHEMbqlevXppzZo1ys/P17/+9S9NmjRJTz75pIqLixtdT//ax958JXq3NY4cOaJNmzZp+PDhza7rMP1rwKViY2ON1NRU2/26ujqjZ8+exurVqxtd//TTTxvTp09vsO3RRx81XnrpJafW2VHZm++WLVuMgICANqquc5Fk7Ny5s9k1ixYtMqKjoxtse+aZZ4yEhAQnVtY5tCTfTz75xJBkXLt2rU1q6kwqKioMSca+ffuaXMPx1zEtyZhjsGMCAwONN998s9HH6F/HNZcvvWu/qqoqY9CgQUZ2drYxfvx4Y/78+U2u7Sj9yztWLnTnzh3l5+drypQptm1ubm6aMmWKDh482OhzDh482GC9JCUkJDS5vitrTb6SdPPmTfXt21e9e/e+7/9OwT70b9sYOXKkwsPDNXXqVOXl5bm6nA7hxo0bkqSgoKAm19C/jmlJxhLH4Naoq6tTenq6qqurFRcX1+ga+rf1WpKvRO/aKzU1VdOnT7+nLxvTUfqXwcqFLl++rLq6OoWFhTXYHhYW1uRnIqxWq13ru7LW5BsVFaXNmzfr/fff17Zt21RfX6+xY8fqwoULbVFyp9dU/1ZWVuqbb75xUVWdR3h4uN544w3t2LFDO3bsUO/evTVhwgQdPXrU1aW1a/X19VqwYIHGjRunmJiYJtdx/G29lmbMMdg+hYWF8vPzk9ls1ty5c7Vz504NHTq00bX0r/3syZfetU96erqOHj2q1atXt2h9R+lfD1cXALQncXFxDf43auzYsRoyZIg2bdqkVatWubAy4P6ioqIUFRVluz927FiVlpZqw4YNeuutt1xYWfuWmpqqoqIi/fOf/3R1KZ1WSzPmGGyfqKgoFRQU6MaNG3rvvfeUkpKiffv2NfnHP+xjT770bsudP39e8+fPV3Z2dqe7wAeDlQsFBwfL3d1d5eXlDbaXl5fLYrE0+hyLxWLX+q6sNfl+n6enp37wgx/o9OnTziixy2mqf/39/eXj4+Oiqjq32NhYBoZmzJs3Tx9++KH279+vXr16NbuW42/r2JPx93EMbp6Xl5ciIyMlSaNHj9aRI0f0+9//Xps2bbpnLf1rP3vy/T56t2n5+fmqqKjQqFGjbNvq6uq0f/9+/fGPf1RNTY3c3d0bPKej9C+nArqQl5eXRo8erZycHNu2+vp65eTkNHkOb1xcXIP1kpSdnd3sOb9dVWvy/b66ujoVFhYqPDzcWWV2KfRv2ysoKKB/G2EYhubNm6edO3dq79696t+//32fQ//apzUZfx/HYPvU19erpqam0cfoX8c1l+/30btNmzx5sgoLC1VQUGC7jRkzRrNmzVJBQcE9Q5XUgfrX1VfP6OrS09MNs9lsbN261Th58qQxZ84c46GHHjKsVqthGIYxe/ZsY/Hixbb1eXl5hoeHh7Fu3TqjpKTEWL58ueHp6WkUFha66iW0a/bmu3LlSiMrK8soLS018vPzjZkzZxre3t5GcXGxq15Cu1ZVVWUcO3bMOHbsmCHJWL9+vXHs2DHj3LlzhmEYxuLFi43Zs2fb1n/55ZeGr6+v8ctf/tIoKSkxNm7caLi7uxuZmZmuegntmr35btiwwdi1a5fxxRdfGIWFhcb8+fMNNzc3Y8+ePa56Ce3Wyy+/bAQEBBi5ubnGxYsXbbdbt27Z1nD8dUxrMuYY3HKLFy829u3bZ5w5c8Y4ceKEsXjxYsNkMhkff/yxYRj0r6PszZfedcz3rwrYUfuXwaod+MMf/mD06dPH8PLyMmJjY41Dhw7ZHhs/fryRkpLSYP0//vEP4+GHHza8vLyM6Oho46OPPmrjijsWe/JdsGCBbW1YWJgxbdo04+jRoy6oumO4e3nv79/uZpqSkmKMHz/+nueMHDnS8PLyMgYMGGBs2bKlzevuKOzNd+3atcbAgQMNb29vIygoyJgwYYKxd+9e1xTfzjWWq6QG/cjx1zGtyZhjcMv99Kc/Nfr27Wt4eXkZISEhxuTJk21/9BsG/esoe/Oldx3z/cGqo/avyTAMo+3eHwMAAACAzofPWAEAAACAgxisAAAAAMBBDFYAAAAA4CAGKwAAAABwEIMVAAAAADiIwQoAAAAAHMRgBQAAAAAOYrACAAAAAAcxWAEA4CCTyaRdu3a5ugwAgAsxWAEAOrTnn39eJpPpnltiYqKrSwMAdCEeri4AAABHJSYmasuWLQ22mc1mF1UDAOiKeMcKANDhmc1mWSyWBrfAwEBJ352ml5aWpqSkJPn4+GjAgAF67733Gjy/sLBQkyZNko+Pj3r06KE5c+bo5s2bDdZs3rxZ0dHRMpvNCg8P17x58xo8fvnyZf34xz+Wr6+vBg0apA8++MD22LVr1zRr1iyFhITIx8dHgwYNumcQBAB0bAxWAIBO7ze/+Y1mzJih48ePa9asWZo5c6ZKSkokSdXV1UpISFBgYKCOHDmi7du3a8+ePQ0Gp7S0NKWmpmrOnDkqLCzUBx98oMjIyAY/Y+XKlXr66ad14sQJTZs2TbNmzdLVq1dtP//kyZPKyMhQSUmJ0tLSFBwc3HYBAACczmQYhuHqIgAAaK3nn39e27Ztk7e3d4PtS5cu1dKlS2UymTR37lylpaXZHvvhD3+oUaNG6U9/+pP+8pe/6Fe/+pXOnz+vbt26SZJ2796txx9/XGVlZQoLC1NERIReeOEFvfbaa43WYDKZ9Otf/1qrVq2S9N2w5ufnp4yMDCUmJuqJJ55QcHCwNm/e7KQUAACuxmesAAAd3sSJExsMTpIUFBRk+3dcXFyDx+Li4lRQUCBJKikp0YgRI2xDlSSNGzdO9fX1OnXqlEwmk8rKyjR58uRmaxg+fLjt3926dZO/v78qKiokSS+//LJmzJiho0ePKj4+XsnJyRo7dmyrXisAoH1isAIAdHjdunW759S8B8XHx6dF6zw9PRvcN5lMqq+vlyQlJSXp3Llz2r17t7KzszV58mSlpqZq3bp1D7xeAIBr8BkrAECnd+jQoXvuDxkyRJI0ZMgQHT9+XNXV1bbH8/Ly5ObmpqioKHXv3l39+vVTTk6OQzWEhIQoJSVF27Zt0+uvv64///nPDu0PANC+8I4VAKDDq6mpkdVqbbDNw8PDdoGI7du3a8yYMXrsscf09ttv6/Dhw/rrX/8qSZo1a5aWL1+ulJQUrVixQpcuXdKrr76q2bNnKywsTJK0YsUKzZ07V6GhoUpKSlJVVZXy8vL06quvtqi+ZcuWafTo0YqOjlZNTY0+/PBD22AHAOgcGKwAAB1eZmamwsPDG2yLiorSZ599Jum7K/alp6frlVdeUXh4uN59910NHTpUkuTr66usrCzNnz9fjzzyiHx9fTVjxgytX7/etq+UlBTdvn1bGzZs0C9+8QsFBwfrqaeeanF9Xl5eWrJkic6ePSsfHx/96Ec/Unp6+gN45QCA9oKrAgIAOjWTyaSdO3cqOTnZ1aUAADoxPmMFAAAAAA5isAIAAAAAB/EZKwBAp8YZ7wCAtsA7VgAAAADgIAYrAAAAAHAQgxUAAAAAOIjBCgAAAAAcxGAFAAAAAA5isAIAAAAABzFYAQAAAICDGKwAAAAAwEH/H8S4gcCkfGw1AAAAAElFTkSuQmCC"},"metadata":{}}]},{"cell_type":"markdown","source":"## Calculate Kappa Score","metadata":{}},{"cell_type":"code","source":"from sklearn.metrics import cohen_kappa_score\n\n# Generate predictions for the validation set\npredictions = model.predict(X_val)\nrounded_predictions = predictions.round().astype(int)\n\n# Transform y_val back to original scale\ny_val_inverse = scaler.inverse_transform(y_val.reshape(-1, 1)).flatten()\n\nk_score = cohen_kappa_score(y_val_inverse, rounded_predictions, weights='quadratic')\nprint(f\"Kappa score is: {k_score}\")","metadata":{"execution":{"iopub.status.busy":"2024-06-28T14:06:23.593961Z","iopub.execute_input":"2024-06-28T14:06:23.594875Z","iopub.status.idle":"2024-06-28T14:06:32.153872Z","shell.execute_reply.started":"2024-06-28T14:06:23.594831Z","shell.execute_reply":"2024-06-28T14:06:32.152956Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"\u001b[1m109/109\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 77ms/step\nKappa score is: 0.10822409901252295\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## Predict on Test data","metadata":{}},{"cell_type":"code","source":"predictions_lstm_scaled = model.predict(X_test_pad)\npredictions_lstm = scaler.inverse_transform(predictions_lstm_scaled).flatten()\n\nx = np.round(predictions_lstm)\n# Round predictions and convert to int\nrounded_predictions = x.astype(int)\n\n# Create submission DataFrame\nsubmission_df = pd.DataFrame({'essay_id': test_df['essay_id'], 'score': rounded_predictions})\nsubmission_df.to_csv('submission.csv', index=False)","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2024-06-28T14:03:06.553708Z","iopub.execute_input":"2024-06-28T14:03:06.554102Z","iopub.status.idle":"2024-06-28T14:03:06.715362Z","shell.execute_reply.started":"2024-06-28T14:03:06.554073Z","shell.execute_reply":"2024-06-28T14:03:06.714518Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 97ms/step\n","output_type":"stream"}]}]}